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Transcript section:
[00:00:01.040 --> 00:00:06.640] 16 years from today, Greg Gerstner will finally land the perfect cannonball.
[00:00:06.960 --> 00:00:10.000] Epic Splash, unsuspecting friends.
[00:00:10.000 --> 00:00:21.920] A work of art only possible because Greg is already meeting all these same people at AARP volunteer and community events that keep him active and involved and help make sure his happiness lives as long as he does.
[00:00:21.920 --> 00:00:25.840] That's why the younger you are, the more you need AARP.
[00:00:25.840 --> 00:00:29.680] Learn more at AARP.org/slash local.
[00:00:33.200 --> 00:00:36.480] You're listening to the Skeptic's Guide to the Universe.
[00:00:36.480 --> 00:00:39.440] Your escape to reality.
[00:00:40.080 --> 00:00:42.800] Hello, and welcome to The Skeptic's Guide to the Universe.
[00:00:42.800 --> 00:00:45.680] Today is Wednesday, July 10th, 2024.
[00:00:45.840 --> 00:00:47.600] This is your host, Stephen Novella.
[00:00:47.600 --> 00:00:49.360] Joining me this week are Bob Novella.
[00:00:49.360 --> 00:00:50.000] Hey, everybody.
[00:00:50.000 --> 00:00:51.440] Kara Santa Maria.
[00:00:51.440 --> 00:00:51.920] Howdy.
[00:00:51.920 --> 00:00:52.960] Jay Novella.
[00:00:52.960 --> 00:00:53.680] Hey, guys.
[00:00:53.680 --> 00:00:55.360] And Evan Bernstein.
[00:00:55.360 --> 00:00:57.280] Happy birthday, Nikolai Tesla.
[00:00:57.280 --> 00:00:59.520] I didn't get you anything, so hope you don't hold that against me.
[00:00:59.600 --> 00:01:00.880] Didn't you get him a Tesla?
[00:01:00.880 --> 00:01:01.760] No, I didn't.
[00:01:01.760 --> 00:01:03.440] Or I got him a cage, though.
[00:01:03.440 --> 00:01:03.680] Okay.
[00:01:03.760 --> 00:01:04.400] Thought he could use it.
[00:01:05.840 --> 00:01:07.200] So I had to go to court today.
[00:01:07.200 --> 00:01:08.720] Always an interesting experience.
[00:01:08.720 --> 00:01:09.440] Wow.
[00:01:09.440 --> 00:01:10.480] What's going on?
[00:01:10.480 --> 00:01:11.600] Nothing to do with me.
[00:01:11.600 --> 00:01:14.000] I just had to appear as a material witness.
[00:01:14.080 --> 00:01:15.360] Can't really go into the details.
[00:01:15.680 --> 00:01:17.280] Well, then it did have to do with you.
[00:01:17.280 --> 00:01:18.480] I had to appear as a material witness.
[00:01:18.640 --> 00:01:20.000] It had to do with a patient, probably.
[00:01:20.000 --> 00:01:20.640] Yeah, probably.
[00:01:20.640 --> 00:01:22.000] Yeah, but we don't know.
[00:01:22.160 --> 00:01:22.640] Good service.
[00:01:22.800 --> 00:01:24.240] That's a good guess, though, right?
[00:01:24.880 --> 00:01:26.320] I find courtrooms fascinating.
[00:01:26.800 --> 00:01:31.680] On one level, it's basically a logical sparring, right?
[00:01:31.680 --> 00:01:33.040] So what's not to love about that?
[00:01:33.040 --> 00:01:34.800] You know, like there's rules.
[00:01:34.800 --> 00:01:37.520] It's all based upon logic and evidence.
[00:01:37.520 --> 00:01:39.680] And like the lawyers are playing their game.
[00:01:39.680 --> 00:01:40.800] You know what I mean?
[00:01:40.800 --> 00:01:44.480] But on the other hand, it is so incredibly tedious.
[00:01:44.480 --> 00:01:49.120] Because they have to go through things in sort of technical detail.
[00:01:49.120 --> 00:01:49.760] It's part of the rules.
[00:01:49.920 --> 00:01:50.560] I mean, I know.
[00:01:51.360 --> 00:01:52.560] There's so much bureaucracy.
[00:01:52.880 --> 00:01:54.000] I know it's just a lot of bureaucracy.
[00:01:54.000 --> 00:01:55.680] I'm watching the jury.
[00:01:55.680 --> 00:01:59.160] I'm like, God, they must be bored out of their sick calls.
[00:01:59.480 --> 00:02:02.120] Because it was all these medical minutiae.
[00:01:58.800 --> 00:02:05.640] And like half the time, I had no idea what the lawyers were going for.
[00:02:06.760 --> 00:02:12.840] And I guess in their head, they had some legal reason why they wanted to establish something or whatever.
[00:02:13.080 --> 00:02:17.160] But it's like, you know, it's like, oh, just going through all this absolute tedium.
[00:02:17.160 --> 00:02:19.080] Yeah, it's really not like it is on TV, is it?
[00:02:19.080 --> 00:02:19.560] Oh, my God.
[00:02:19.560 --> 00:02:22.840] It's so 100% not like it is on TV.
[00:02:24.120 --> 00:02:26.600] Like full of gotcha edge of your seat moments.
[00:02:27.160 --> 00:02:28.520] There's no gotchas.
[00:02:28.520 --> 00:02:29.160] You know what I mean?
[00:02:29.560 --> 00:02:33.320] By definition, because there's something called discovery.
[00:02:33.640 --> 00:02:34.600] You have to turn.
[00:02:34.600 --> 00:02:37.320] And then surprise witness number four.
[00:02:37.720 --> 00:02:40.760] Depose the, you know, the other witnesses.
[00:02:40.760 --> 00:02:44.360] So it's designed for there to be zero surprises.
[00:02:44.360 --> 00:02:45.480] You know what I mean?
[00:02:46.040 --> 00:02:47.000] Boring.
[00:02:47.000 --> 00:02:47.560] I don't know.
[00:02:47.560 --> 00:02:51.880] Someone might think the scientific method is boring in the same way, but that's the way it goes.
[00:02:51.960 --> 00:02:53.000] Oh, yeah, it's a method.
[00:02:53.000 --> 00:02:53.800] I'm just saying.
[00:02:53.800 --> 00:02:56.920] Again, it's fascinating on one level, but yeah.
[00:02:57.080 --> 00:02:59.400] I guess it is like science because science is fascinating.
[00:02:59.400 --> 00:03:03.880] But do you really want to stand in a lab all day and watch people run gels or whatever?
[00:03:03.880 --> 00:03:05.960] I mean, there's tremendous tedium.
[00:03:06.600 --> 00:03:07.240] Oh, yeah.
[00:03:07.560 --> 00:03:21.320] I remember back when I had a Wii, I bought this game in like the bargain bucket at a GameStop back in the day, and it was like a lab science game, and I was playing it with my friends, and then I just like got up and walked off, and they were like, what?
[00:03:21.320 --> 00:03:23.080] And I was like, this is so triggering.
[00:03:23.080 --> 00:03:24.520] I just feel like I'm at work.
[00:03:25.640 --> 00:03:27.560] Why would I play this game?
[00:03:28.520 --> 00:03:30.200] Only if you're earning credits or something.
[00:03:30.520 --> 00:03:31.400] Not fun.
[00:03:31.400 --> 00:03:33.160] Yeah, I don't get sim games.
[00:03:33.160 --> 00:03:34.520] Yeah, not fun.
[00:03:34.520 --> 00:03:34.840] No?
[00:03:34.840 --> 00:03:35.560] Sim games?
[00:03:35.560 --> 00:03:36.120] Like what?
[00:03:36.120 --> 00:03:36.920] Like the sims?
[00:03:36.920 --> 00:03:37.240] Yeah.
[00:03:37.560 --> 00:03:37.880] I don't know.
[00:03:37.520 --> 00:03:40.280] No, no, they're not civilization building games.
[00:03:40.280 --> 00:03:48.880] Yeah, I mean, I'm okay with games that are resource management if that's part of the game, but if that's the entire game is resource management.
[00:03:49.200 --> 00:03:58.000] Just I have had these moments playing those sorts of games when I'm like managing or something or building something or whatever.
[00:03:58.000 --> 00:04:01.920] And I'm thinking to myself, I could be doing this to my real house.
[00:04:01.920 --> 00:04:02.480] Right now.
[00:04:02.800 --> 00:04:04.080] Right, exactly.
[00:04:05.600 --> 00:04:11.840] Why am I so fastidious about this virtual thing only I am ever going to see?
[00:04:13.120 --> 00:04:17.360] But it's okay if it's like, you know, you kill stuff for a while, then say, oh, now I'm going to build my resources.
[00:04:17.360 --> 00:04:19.520] You know, it kind of flows back and forth.
[00:04:19.520 --> 00:04:20.880] Those games are good.
[00:04:22.080 --> 00:04:25.200] I need some first-person action, though, to break up the TV.
[00:04:25.520 --> 00:04:26.480] Back to court, though.
[00:04:26.480 --> 00:04:27.840] Do you have to go back to court?
[00:04:28.160 --> 00:04:29.840] No, that was one and done.
[00:04:29.840 --> 00:04:32.320] Actually, I went last week.
[00:04:32.320 --> 00:04:32.960] I get there.
[00:04:32.960 --> 00:04:34.960] They're like, they bumped you.
[00:04:35.280 --> 00:04:35.920] Oh, no.
[00:04:37.360 --> 00:04:38.320] Meaning they don't need you.
[00:04:38.560 --> 00:04:41.040] Well, it's the schedule thing, whatever.
[00:04:41.040 --> 00:04:42.160] Did you have to travel far?
[00:04:42.160 --> 00:04:44.160] You don't have to say where you went, but did you have to travel far?
[00:04:44.400 --> 00:04:44.960] A half hour.
[00:04:44.960 --> 00:04:45.920] Not too hard far.
[00:04:46.480 --> 00:04:49.040] And then they had to reschedule.
[00:04:49.040 --> 00:04:54.480] I only have one free chunk of time in my week, and it's Wednesday afternoon.
[00:04:54.960 --> 00:04:55.440] Yeah, that's right.
[00:04:56.240 --> 00:05:00.080] It feats into our live stream that we do on Wednesday afternoon.
[00:05:00.080 --> 00:05:02.160] And my prep time, but I'm sitting there.
[00:05:03.360 --> 00:05:04.800] Well, that goes into your bill, right?
[00:05:05.120 --> 00:05:05.920] No, that's the thing.
[00:05:05.920 --> 00:05:07.680] It must be so frustrating.
[00:05:07.680 --> 00:05:09.120] That's what I was going to say.
[00:05:09.120 --> 00:05:13.200] When you're a material witness, it's completely different than being an expert witness.
[00:05:13.520 --> 00:05:17.920] When you're an expert witness, like, you know, I've worked for forensic psychologists before who do this.
[00:05:17.920 --> 00:05:22.320] They get paid to review records, to go up and give a professional opinion.
[00:05:22.320 --> 00:05:24.800] They have these large retainers.
[00:05:24.800 --> 00:05:26.320] It's like, it can be lucrative.
[00:05:26.320 --> 00:05:27.200] Oh, you get paid well.
[00:05:27.200 --> 00:05:27.440] Yeah.
[00:05:27.760 --> 00:05:27.920] Yeah.
[00:05:28.480 --> 00:05:35.880] As a material witness, you're not doing the exact same thing, but for some intents and purposes, you are doing something similar.
[00:05:36.200 --> 00:05:41.080] But because you were called, you were subpoenaed, you don't get paid.
[00:05:41.080 --> 00:05:43.000] You just get inconvenienced.
[00:05:43.000 --> 00:05:43.640] That's right.
[00:05:43.640 --> 00:05:44.120] That's tough.
[00:05:44.280 --> 00:05:45.320] Pure inconvenience.
[00:05:46.520 --> 00:05:47.080] Oh, man.
[00:05:47.080 --> 00:05:51.320] And they never asked me the one question I most thought they were going to ask me.
[00:05:51.320 --> 00:05:52.840] Oh, that's fascinating.
[00:05:52.840 --> 00:05:54.920] Did you work in the answer to another question?
[00:05:54.920 --> 00:05:55.560] Yeah, no.
[00:05:56.120 --> 00:05:59.480] The thing is, when you're an expert witness, this is the big difference.
[00:05:59.480 --> 00:06:02.840] You're an expert witness, you can say whatever you want, right?
[00:06:02.840 --> 00:06:13.640] When they ask a question, you can say whatever you feel you need to say in order to give context to that question and educate the jury about that question.
[00:06:13.640 --> 00:06:18.440] But when you're a material witness, you do have to just answer the question they ask you, right?
[00:06:18.920 --> 00:06:21.560] Oh, wow, that's a really, I've never heard that distinction.
[00:06:21.720 --> 00:06:23.160] Oh, yeah, it's a big distinction.
[00:06:23.160 --> 00:06:26.200] You are in charge when you're an expert witness, right?
[00:06:26.200 --> 00:06:34.040] And the judge could, you know, between the judge and the expert witness, the judge could say, you know, tell us more about this or go on, keep talking, whatever.
[00:06:34.040 --> 00:06:38.040] Like, they'll just give you, they give you really wide free range, you know.
[00:06:38.040 --> 00:06:43.560] The attorneys can object if, but it's usually objecting to the other guy's question.
[00:06:43.560 --> 00:06:45.560] Like, they want to go in an area.
[00:06:45.560 --> 00:06:48.760] But they, but expert witnesses are given massive latitude.
[00:06:48.760 --> 00:06:53.880] Material witnesses are like, if you get asked a yes or no question, your answer is yes or no, and that's it.
[00:06:53.880 --> 00:06:56.120] You don't elaborate or whatever.
[00:06:56.120 --> 00:07:00.440] Yes, but just to answer the question.
[00:07:00.760 --> 00:07:13.320] But, you know, this was a little different because even though I was a material witness, because this is a medical case and I'm a physician, they almost treated me like an expert witness in terms of giving me latitude.
[00:07:13.800 --> 00:07:18.160] And they asked me a lot of questions that you would only ask of an expert witness.
[00:07:18.720 --> 00:07:21.120] Like, what's your understanding of this scientific topic?
[00:07:21.120 --> 00:07:21.600] You know what I mean?
[00:07:22.080 --> 00:07:25.520] It was not an idea.
[00:07:25.760 --> 00:07:27.040] It wasn't just what happened.
[00:07:27.280 --> 00:07:29.200] It was, yeah, tell me what you think about this.
[00:07:29.200 --> 00:07:32.000] Because that's part of the case.
[00:07:32.560 --> 00:07:34.080] Your professional opinion.
[00:07:34.080 --> 00:07:37.760] Yes, my professional opinion was relevant to the case.
[00:07:37.760 --> 00:07:38.080] Right.
[00:07:38.080 --> 00:07:41.040] So it was kind of a hybrid.
[00:07:42.320 --> 00:07:50.080] I mean, that's, you know, it's interesting because, as an expert witness, you could probably talk for almost as long as you want.
[00:07:50.480 --> 00:07:51.040] Pretty much.
[00:07:51.040 --> 00:07:57.920] I mean, I guess the judge would cut you off at some point, and you probably wouldn't get a lot of gigs if you went off on a relevant tangent.
[00:07:58.400 --> 00:08:01.040] Who gets to decide who qualifies as an expert witness?
[00:08:01.200 --> 00:08:02.000] The court does.
[00:08:02.320 --> 00:08:06.560] Wow, so they could really make a bad choice and bring in someone who's not really an expert.
[00:08:08.160 --> 00:08:12.160] Both sides have to stipulate that they agree that that person's an expert.
[00:08:12.480 --> 00:08:15.680] And the other attorney can always challenge you, right?
[00:08:15.680 --> 00:08:17.840] So that's like the first thing that happens.
[00:08:17.840 --> 00:08:26.880] Like when you take the stand as an expert witness, is they challenge your credentials, they challenge your objectivity, blah, blah, blah.
[00:08:26.880 --> 00:08:30.880] They did whatever they can to tear you down in front of the jury.
[00:08:30.880 --> 00:08:42.240] And then with, you know, the attorney who hired you may object or try to defend you, but bottom line is they're going to ask you, they're going to try to make it seem like you're not a reliable expert.
[00:08:42.720 --> 00:08:43.920] When did you stop beating your wife?
[00:08:44.080 --> 00:08:52.640] But the court and both attorneys have to stipulate that you are a recognized, that a court recognizes you as an expert in whatever field, right?
[00:08:52.640 --> 00:08:57.440] And with every, that's the other thing, it has to have a very narrow field in which you are an expert.
[00:08:57.440 --> 00:09:00.280] Like, you are called for this question, right?
[00:09:00.280 --> 00:09:09.000] So, like, for example, I've been called as an expert neurologist who's commenting on causality.
[00:09:09.000 --> 00:09:13.480] And that's the only thing I'm commenting on, meaning, did A cause B?
[00:09:13.480 --> 00:09:18.040] I'm not commenting on is what they did malpractice.
[00:09:18.040 --> 00:09:22.520] Or, but I may be asked to comment on the standard of care.
[00:09:23.400 --> 00:09:25.240] Is what they did within the standard of care.
[00:09:25.240 --> 00:09:34.040] So, whatever it is, an expert might be hired, like within a medical context, to comment on that's they are restricted to that, right?
[00:09:34.040 --> 00:09:35.480] Whatever, whatever it is.
[00:09:35.480 --> 00:09:39.560] But within that, yeah, you could say whatever you feel you need to.
[00:09:40.040 --> 00:09:44.680] So, the lawyer who's answering, who's asking you questions can't hem you in.
[00:09:44.680 --> 00:09:45.240] You know what I mean?
[00:09:45.240 --> 00:09:52.440] They can't play the game of that, yeah, did you stop beating your wife type of question, like asking a leading question.
[00:09:52.440 --> 00:09:58.120] You know, so you're supposed to still, like, if they ask you a question, like, are you familiar with this?
[00:09:58.120 --> 00:10:05.080] You're supposed to just say yes, and then they could ask, tell me, then they'll ask you the follow-up question, tell me about this.
[00:10:05.480 --> 00:10:11.480] Right, so there is sort of, there is still sort of a protocol to like how you answer questions.
[00:10:11.480 --> 00:10:24.600] But if they stop there, you could say, but, and then just go off on whatever, like you, they can't trap you by cleverly asking questions that hem in your answer.
[00:10:24.920 --> 00:10:29.320] But the lawyer on the other side can object, yeah, but they have to have a legitimate reason to object.
[00:10:29.720 --> 00:10:36.360] They can't object, I object, the guy I hired isn't doing a good job, you know, on the other side, uh, yeah, yeah.
[00:10:36.360 --> 00:10:38.320] Well, whoever's not asking the question.
[00:10:38.560 --> 00:10:39.000] Exactly.
[00:10:39.000 --> 00:10:40.920] They can object and say, you know, whatever.
[00:10:42.200 --> 00:10:42.680] I don't know.
[00:10:43.000 --> 00:10:44.640] And they get to cross-question you, right?
[00:10:44.280 --> 00:10:50.720] Then they cross, then they could redirect, you know, that goes back and forth a few times until everybody's happy.
[00:10:44.520 --> 00:10:51.840] Everybody's happy.
[00:10:52.080 --> 00:10:53.120] Sequestered the jury?
[00:10:54.400 --> 00:10:55.600] They do do that.
[00:10:55.920 --> 00:10:57.280] That happened today.
[00:10:57.280 --> 00:10:57.680] Oh, no.
[00:10:58.800 --> 00:11:07.600] Sequester the jury, but they sent the jury out of the room or they delayed bringing them into the room in order to work out some behind.
[00:11:07.600 --> 00:11:09.760] Yeah, they had to work out some details that you can't.
[00:11:09.920 --> 00:11:13.440] The whole point was: should the jury be exposed to this piece of information?
[00:11:13.440 --> 00:11:16.000] You can't have that conversation in front of the jury.
[00:11:16.000 --> 00:11:26.160] So those conversations happen either before the jury gets there or they, at one point, they literally, they did send the jury away so we could resolve a should the jury hear this type question.
[00:11:26.400 --> 00:11:29.200] It just takes more time away from the, you know.
[00:11:30.000 --> 00:11:30.560] That's the point.
[00:11:31.440 --> 00:11:33.040] Yeah, it took a long time.
[00:11:33.040 --> 00:11:33.600] All right.
[00:11:33.600 --> 00:11:40.160] It's an imperfect system, but it's the system that we're but at least there are rules of evidence and rules of logic.
[00:11:40.160 --> 00:11:43.360] And that's what that's honestly what makes the system work.
[00:11:43.360 --> 00:11:47.280] You know, you can't just make any crack-ass argument that you want, you know.
[00:11:47.280 --> 00:11:47.920] Right.
[00:11:47.920 --> 00:11:51.200] Unlike, say, every other sphere of life, pretty much.
[00:11:52.800 --> 00:11:53.840] All right, let's go on.
[00:11:53.840 --> 00:11:56.960] Evan, you're going to start us off with the dumbest thing of the week.
[00:11:56.960 --> 00:11:59.040] Yes, the dumbest thing of the week.
[00:11:59.040 --> 00:12:02.560] And here to sing the song is Cara Santa Maria.
[00:12:02.560 --> 00:12:03.600] Take it away, Kara.
[00:12:03.600 --> 00:12:04.320] Nope.
[00:12:04.320 --> 00:12:05.040] Nope.
[00:12:05.040 --> 00:12:05.360] Okay.
[00:12:05.760 --> 00:12:07.760] That's a hard pass right there.
[00:12:09.040 --> 00:12:09.680] Ouch.
[00:12:10.000 --> 00:12:12.640] I don't want to take all the fun every time I do this.
[00:12:12.640 --> 00:12:17.200] I'm going to offer it up to my wonderful co-hosts as I go through these.
[00:12:17.200 --> 00:12:19.040] So I just want to give you guys the chance.
[00:12:19.840 --> 00:12:21.840] Just, you know, sharing is caring, right?
[00:12:22.320 --> 00:12:28.000] I learned this from a radio show host back in the day who would present a news item this way.
[00:12:28.000 --> 00:12:32.920] And what they would do, they read the article, kind of in its entirety, in its context.
[00:12:32.920 --> 00:12:35.560] And don't worry, this one's not really a long article.
[00:12:35.560 --> 00:12:40.760] But as I go through this, I'm going to pause a couple of times along the way to make some points.
[00:12:40.760 --> 00:12:46.600] And these points are sort of like the first things that popped into my head as I first read this article.
[00:12:46.600 --> 00:12:47.160] Okay?
[00:12:47.160 --> 00:12:48.120] So here we go.
[00:12:48.120 --> 00:12:53.400] The recent headline, and I saw this first at the website called Interesting Engineering.
[00:12:53.400 --> 00:13:01.480] And this was about a week and a half ago, but since then, like in the last two or three days, it's really been on a lot of news sites elsewhere.
[00:13:01.480 --> 00:13:03.080] But this is where I first read it.
[00:13:03.080 --> 00:13:07.400] And the article's author, his name is Aman Tripathi.
[00:13:07.400 --> 00:13:07.960] Okay?
[00:13:07.960 --> 00:13:15.960] Here's the headline: Civil servant robot, quote, commits suicide, comma, deadly plunge under probe.
[00:13:15.960 --> 00:13:25.080] And here's the sub-headline: Witnesses saw the robot erratically circling before its fall, sparking speculation about the cause.
[00:13:25.640 --> 00:13:29.240] I'm going to pause here for a second and throw this in.
[00:13:29.240 --> 00:13:35.720] Of the five of us, I think I consider myself, and again, of the five of us, the Luddite of the group.
[00:13:35.720 --> 00:13:37.640] And I admit that freely.
[00:13:38.760 --> 00:13:40.120] I know enough about technology.
[00:13:40.120 --> 00:13:46.680] I'm able to use enough of it to still function in 2024, but I am no, by no means the most technically savvy person.
[00:13:46.680 --> 00:14:03.240] But if I saw a robot acting erratically, I mean, maybe the 7,000th reason I could think of as to why a machine is malfunctioning is that the machine was somehow programmed with the ability to end its function by seeking Leader actively fall off a surface, right?
[00:14:03.240 --> 00:14:08.040] I mean, but again, that's just me, the Luddite, thinking aloud.
[00:14:08.360 --> 00:14:10.120] So back to the article.
[00:14:10.120 --> 00:14:26.000] A first-of-its-kind incident has shocked the world after a civil servant robot at Gumi City Council in South Korea was found unresponsive after what appears to be a deliberate plunge down a two-meter staircase.
[00:14:26.000 --> 00:14:27.920] All right, I'm going to pause again.
[00:14:27.920 --> 00:14:32.320] Found unresponsive and deliberate plunge.
[00:14:32.640 --> 00:14:36.080] Ah, that's called anthropomorphizing, I think.
[00:14:36.080 --> 00:14:36.720] A little bit.
[00:14:37.040 --> 00:14:39.680] Maybe a new level of it as far as I'm concerned.
[00:14:39.680 --> 00:14:41.040] But back to the article.
[00:14:41.040 --> 00:14:46.720] Local media and social media users have called it the first robot suicide in the country.
[00:14:46.720 --> 00:14:52.800] The robot, affectionately known as the robot supervisor, had been a model employee.
[00:14:52.800 --> 00:14:56.080] Yeah, and I'm sure they intended no pun there, but I saw the pun.
[00:14:56.080 --> 00:14:58.080] A model employee, since it's a point.
[00:14:58.240 --> 00:14:59.120] What model number was that?
[00:14:59.440 --> 00:15:00.160] 23.
[00:15:00.160 --> 00:15:01.520] Exactly, Bob, right?
[00:15:01.520 --> 00:15:02.960] Model employee.
[00:15:03.200 --> 00:15:06.160] Here's a quote: It was officially part of the city hall.
[00:15:06.160 --> 00:15:09.680] It was one of us, an unnamed official said.
[00:15:09.680 --> 00:15:12.240] They described it as a diligent worker.
[00:15:13.280 --> 00:15:22.880] The officials stated that the robot worked diligently and handling daily document deliveries, city promotion, and information dissemination to local residents.
[00:15:22.880 --> 00:15:33.680] Witnesses reported seeing the robot, quote, circling in one spot as if something was there, end quote, shortly before the incident, sparking speculation about the cause of the fall.
[00:15:33.680 --> 00:15:44.240] Some experts have suggested that the robot may have experienced an emotional breakdown due to the stress of its workload, while others believe a technical malfunction could be to blame.
[00:15:44.240 --> 00:15:45.840] So let's pause for that, right?
[00:15:45.840 --> 00:15:47.960] Emotional stress.
[00:15:47.960 --> 00:15:49.280] Emotions?
[00:15:49.280 --> 00:15:52.720] I mean, was this machine really programmed for emotions?
[00:15:52.720 --> 00:15:55.200] Is that what we're being told?
[00:15:55.200 --> 00:16:01.640] I mean, even if somebody said that they programmed something to have emotions, it doesn't actually have emotions.
[00:15:59.840 --> 00:16:04.600] Well, right, Jay, that's definitely a valid point.
[00:16:04.760 --> 00:16:08.840] And, Bob, your point as well, right, is that.
[00:16:09.480 --> 00:16:10.840] Oh, is this an onion article?
[00:16:10.840 --> 00:16:13.000] I mean, it sounds like an onion article.
[00:16:13.320 --> 00:16:14.680] And, Bob, absolutely.
[00:16:14.680 --> 00:16:15.960] I had to stop.
[00:16:15.960 --> 00:16:19.720] I stopped in the middle of the article to make sure this was not satire or something, right?
[00:16:19.720 --> 00:16:21.320] I looked elsewhere to make sure.
[00:16:21.320 --> 00:16:22.360] I'm like, what am I?
[00:16:22.360 --> 00:16:24.200] Am I really reading this correctly?
[00:16:24.280 --> 00:16:31.320] No, this is an article in a what appears to be a technical site.
[00:16:31.320 --> 00:16:37.400] And certainly all the news articles that have come out more recently about this are treating this as the same.
[00:16:37.400 --> 00:16:38.680] So, no, this is real.
[00:16:38.680 --> 00:16:39.560] Back to the article.
[00:16:39.560 --> 00:16:43.560] The exact circumstances leading to the robot's demise are under investigation.
[00:16:43.560 --> 00:16:47.560] Pieces have been collected and will be analyzed by the company, the official said.
[00:16:47.560 --> 00:16:48.280] So, yeah.
[00:16:48.440 --> 00:16:49.960] Mysterious circumstances.
[00:16:49.960 --> 00:16:55.160] The incident has sparked a wave of mourning and curiosity across the nation.
[00:16:55.240 --> 00:16:57.080] Nation of South Korea, I suppose.
[00:16:57.080 --> 00:17:05.160] Local media headlines questioned the apparent robot suicide, asking, why did the diligent civil officer do it?
[00:17:05.480 --> 00:17:08.840] And was it working too hard for the robot?
[00:17:08.840 --> 00:17:20.360] Social media has been a buzz with reactions ranging from poignant tributes to the fallen robot to serious discussions about the ethical implications of AI sentience and the potential for robot suffering.
[00:17:20.360 --> 00:17:27.880] Now, talking about its equality, the robot was unique in its ability to call an elevator and move between floors autonomously.
[00:17:27.880 --> 00:17:28.440] Whoa.
[00:17:28.440 --> 00:17:30.200] It reportedly worked from 9 a.m.
[00:17:30.200 --> 00:17:34.280] to 6 p.m., and even had its own civil service officer card.
[00:17:34.280 --> 00:17:35.160] Aw, cute.
[00:17:35.160 --> 00:17:36.200] Yeah, very cute.
[00:17:36.200 --> 00:17:36.920] Very cute.
[00:17:36.920 --> 00:17:44.680] You see, but the point is that they're making here is that the robot uses the elevator to move between its floors autonomously.
[00:17:44.960 --> 00:17:50.080] Why would it even ever consider going anywhere near a staircase, you see, right?
[00:17:50.720 --> 00:17:54.960] Other than was it, did it have other intentions?
[00:17:54.960 --> 00:17:58.880] And then finishing up, robots, robot, robotics, and ethical concerns.
[00:17:58.880 --> 00:18:05.280] Notably, South Korea is a global leader in robotics at adoption, and it boasts the highest robot density in the world.
[00:18:05.280 --> 00:18:11.760] With one industrial robot for every 10 employees, the nation has embraced automation in various sectors from manufacturing to public service.
[00:18:11.840 --> 00:18:12.560] More than Japan?
[00:18:12.880 --> 00:18:17.920] Apparently, so as a representation of the population.
[00:18:17.920 --> 00:18:20.080] So that's the, yeah, that's the article.
[00:18:20.080 --> 00:18:20.320] All right.
[00:18:20.320 --> 00:18:23.680] And there's a lot to say about this as far as I'm concerned.
[00:18:23.680 --> 00:18:27.920] And I know not everyone is going to have my take on this particular one.
[00:18:27.920 --> 00:18:30.880] And I do not mean offense to any person.
[00:18:31.200 --> 00:18:36.800] But for once, I'm standing up for the Luddites everywhere when I proclaim that this is the dumbest thing of the week.
[00:18:36.800 --> 00:18:37.920] Take it away, folks.
[00:18:38.240 --> 00:18:49.760] Dude, I really have to rethink now when my Roomba is usually pretty good at avoiding stairs, but every now and then I find it had gone over the step.
[00:18:49.760 --> 00:18:54.640] And now I'm thinking, maybe, you know, maybe I'm just using it too much and putting too much stress on it.
[00:18:54.640 --> 00:18:56.000] And it's trying to kill itself.
[00:18:56.000 --> 00:18:57.040] Like, wow.
[00:18:57.680 --> 00:18:59.280] Is this where we're really going?
[00:18:59.280 --> 00:19:00.000] Yes, it is.
[00:19:00.000 --> 00:19:02.720] I mean, people personify things, you know?
[00:19:03.120 --> 00:19:03.680] Yes, they do.
[00:19:03.680 --> 00:19:04.000] Dog.
[00:19:04.080 --> 00:19:08.320] Well, this is just deliberate, stupid sensationalism from news outlets.
[00:19:08.880 --> 00:19:09.680] Okay, here, here's.
[00:19:09.920 --> 00:19:11.040] Nobody believes this.
[00:19:11.040 --> 00:19:13.280] Here's my weird take as a psychologist.
[00:19:13.280 --> 00:19:31.880] It is important to think about these things because the way that we treat technology is in some ways a microcosm or a reflection on the way that we treat people, the way that we treat animals, the way that we treat property, and statues, and statues, exactly.
[00:19:32.120 --> 00:19:42.120] We can look at the psychology of our interactions with these machines and think about the way that we engage.
[00:19:42.120 --> 00:20:12.360] Because what we what I, at least from a moralistic perspective, would not want to see is a world full of animate but non-sentient things that we treat in a really deeply inhuman way, because that will can and may translate into treating people in outgroups that way, translate into dehumanizing individuals because it's a reinforcement of certain types of behavior.
[00:20:12.360 --> 00:20:14.920] I think that that is an important component of this.
[00:20:14.920 --> 00:20:24.280] I think that the bullshit, ridiculous, dumbest thing of the weak component of this is actually believing that the robot is like thinking and feeling and making these decisions.
[00:20:24.600 --> 00:20:26.920] Has emotions, among other things.
[00:20:27.080 --> 00:20:32.920] So, like, I do actually think that there's a lot of value in those kinds of conversations around robotics.
[00:20:32.920 --> 00:20:44.040] Yeah, and I think those kind of conversations are going to become more important as time advances and we actually have, you know, bona fide levels of intelligence in these devices.
[00:20:44.360 --> 00:20:57.880] Or even if they're not very necessarily self-awareness, sentience, sapience, or whatever, but some amount of intelligence where you could arguably make a point that it's sophisticated animal-level intelligence.
[00:20:57.880 --> 00:21:02.280] All I know is that when I talk to ChatGPT, I always say please.
[00:21:04.440 --> 00:21:06.520] That's because you're considerate at all times, Bob.
[00:21:06.520 --> 00:21:07.960] Yeah, I mean, that's our social training.
[00:21:07.960 --> 00:21:09.640] And I agree with what Kara said, though.
[00:21:09.640 --> 00:21:13.240] I mean, I think it probably wouldn't be a good thing to.
[00:21:13.560 --> 00:21:21.680] I'm just thinking about my kids, you know, to treat them poorly, you know, particularly if they're humanoid.
[00:21:21.680 --> 00:21:29.440] You know, like it gets to a point, I think, where we're going to need to teach people to treat them like they're people, even though they're not.
[00:21:29.440 --> 00:21:29.840] Yeah.
[00:21:29.840 --> 00:21:31.360] It's an interesting research question.
[00:21:31.360 --> 00:21:34.080] I'm sure it will be researched at some point.
[00:21:34.080 --> 00:21:36.000] And it seems reasonable that there'd be some connection.
[00:21:36.240 --> 00:21:37.520] It certainly is a consideration.
[00:21:37.840 --> 00:21:40.880] It won't necessarily translate, is what I'm saying.
[00:21:41.280 --> 00:21:48.560] Like, I'm thinking of playing violent video games, doesn't appear to translate to exacting violence in the real world.
[00:21:48.560 --> 00:21:52.080] Yeah, but you're also not doing violent AR video games.
[00:21:52.400 --> 00:21:55.040] Well, that's another assumption.
[00:21:55.040 --> 00:21:57.680] Well, what if the violence is in virtual reality?
[00:21:57.680 --> 00:21:59.440] If it's more real, does that matter?
[00:21:59.440 --> 00:21:59.920] I don't know.
[00:21:59.920 --> 00:22:00.240] I think that's right.
[00:22:00.400 --> 00:22:02.160] Or AR, not VR, but AR.
[00:22:02.240 --> 00:22:04.480] Or imposing on your reality.
[00:22:04.480 --> 00:22:10.640] And so, and it's not that the assumption is that this necessarily leads to that.
[00:22:10.640 --> 00:22:17.520] It's the assumption that in the real world, the decisions that we make are often based on natural consequences.
[00:22:17.520 --> 00:22:36.640] And when there are no natural consequences, because we're treating an object a particular way, and that object doesn't talk back, it doesn't reflect, it doesn't say that hurt my feelings, then does that then translate to a sort of because we know it does in the genocidal playbook, right?
[00:22:36.640 --> 00:22:39.280] Like when it comes to actual people, we know that this works.
[00:22:39.280 --> 00:22:48.720] It's why genocidal leaders, you know, dehumanize certain groups of people and call them things like rats and call them animals and beasts and things, because it works.
[00:22:48.720 --> 00:22:56.400] So, you're saying we should humanize the robots to make sure that we don't dehumanize people based on how we treat the robots.
[00:22:56.640 --> 00:22:57.040] Exactly.
[00:22:57.040 --> 00:22:59.120] That certainly is a legitimate concern.
[00:22:59.120 --> 00:23:02.920] I would be very interested in seeing what research says about it.
[00:23:02.920 --> 00:23:03.400] Yeah.
[00:22:59.840 --> 00:23:03.560] Yeah.
[00:23:03.720 --> 00:23:08.760] I think, you know, right now it is a hypothesis, but I think it's a hypothesis that has face validity.
[00:23:08.760 --> 00:23:09.560] Yeah, exactly.
[00:23:09.560 --> 00:23:10.120] I agree.
[00:23:10.120 --> 00:23:10.440] All right.
[00:23:10.440 --> 00:23:11.240] Thanks, Evan.
[00:23:11.240 --> 00:23:14.760] Jay, tell us about this recent Mars simulation.
[00:23:14.760 --> 00:23:16.440] So you guys should remember this.
[00:23:16.440 --> 00:23:22.680] I talked about this Mars simulation mission that they started just over a year ago.
[00:23:22.680 --> 00:23:25.240] So it was called the CHAPIA.
[00:23:25.480 --> 00:23:30.600] It means NASA's Crew Health and Performance Exploration Analog.
[00:23:30.600 --> 00:23:34.440] You know, not the sexiest name, but they're trying to make the name mean something.
[00:23:34.760 --> 00:23:39.400] So this mission concluded on July 6, 2024.
[00:23:39.400 --> 00:23:45.560] So to remind you guys, there were four volunteers living in a 1,700 square foot structure.
[00:23:45.560 --> 00:23:55.800] It was 378 days in total, and the four people that were in the experiment were Kelly Hastin, Ross Brockwell, Akna Seleru, and Nathan Jones.
[00:23:55.800 --> 00:23:56.120] What's that?
[00:23:56.520 --> 00:23:57.480] Paulie Shore.
[00:23:57.720 --> 00:23:58.680] Paulie Shore.
[00:23:58.680 --> 00:23:59.640] I got that one wrong.
[00:24:00.040 --> 00:24:03.320] Ross Brockwell sounds like a fake 80s movie name, I think.
[00:24:03.640 --> 00:24:04.680] Totally.
[00:24:04.680 --> 00:24:05.080] Totally.
[00:24:05.080 --> 00:24:05.560] Yeah, totally.
[00:24:06.760 --> 00:24:11.400] They began the mission simulation on June 25th, 2023.
[00:24:11.400 --> 00:24:19.320] Their habitat was 3D printed, and it was designed to replicate as close as they can get to Martian conditions on Earth.
[00:24:19.320 --> 00:24:22.520] Of course, the gravity was gravity, you know, Earth-1G.
[00:24:22.520 --> 00:24:26.200] This mission, again, I said it's part of the CHAPIA program.
[00:24:26.200 --> 00:24:33.560] This is the first of three missions, and they created this mission to understand how humans would cope with the stresses of a Mars mission.
[00:24:33.560 --> 00:24:35.320] It is a little more complicated than that.
[00:24:35.320 --> 00:24:37.240] So let me get into some details here.
[00:24:37.240 --> 00:24:41.640] So the habitat is currently located at NASA's Johnson Space Center in Houston.
[00:24:41.640 --> 00:24:50.800] It included things like bedrooms, a kitchen, two bathrooms, areas for medical treatment, and a recreation room, fitness, and places to work.
[00:24:50.800 --> 00:24:58.640] It also featured a sandbox that was filled with red sand for simulated Mars walks, and they had excursions that they had to go on.
[00:24:58.640 --> 00:25:00.240] They had to get suited up for that.
[00:25:00.240 --> 00:25:09.440] So during this simulation, they performed tasks that people at NASA thought would be likely things that people would end up having to do on Mars.
[00:25:09.440 --> 00:25:17.600] This includes things like habitat maintenance, sample collection, robotic operations, and even crop growth.
[00:25:17.600 --> 00:25:21.520] And actually, the crop growth is pretty interesting when it comes to the.
[00:25:22.000 --> 00:25:24.240] Yeah, they had to grow several different things.
[00:25:24.240 --> 00:25:39.040] But the whole point of this was they wanted to create intentional environmental stressors, resource limitations, isolation, confinement, just to see how the crew would handle it and see if there was any obvious sticking points that they had to address.
[00:25:39.040 --> 00:25:42.240] So the crew lived on shelf-stable food.
[00:25:42.240 --> 00:25:45.200] This included a variety of freeze-dried items.
[00:25:45.200 --> 00:25:47.280] They had thermostabilized meals.
[00:25:47.280 --> 00:25:50.160] But they also had to grow a portion of their own food.
[00:25:50.160 --> 00:25:51.680] So they grew vegetables.
[00:25:51.680 --> 00:25:55.040] And this was a legitimate and required part of their food source.
[00:25:55.040 --> 00:25:56.400] They grew a bunch of different things.
[00:25:56.720 --> 00:26:01.840] This includes peppers, they grew tomatoes, and they had some leafy greens.
[00:26:01.840 --> 00:26:07.840] And this part of the simulation included them managing the limited food systems in a Mars-like environment.
[00:26:07.840 --> 00:26:14.480] You know, this is critical, and it was a very important part of them learning the sustainability lessons that they had to go through.
[00:26:14.480 --> 00:26:18.960] And absolutely, like, think about how important that will be when they're on Mars, right?
[00:26:18.960 --> 00:26:24.240] Because some of their oxygen might even come from plant growth that they're going to have to take care of.
[00:26:24.240 --> 00:26:30.920] But them being able to have some level of sustainability is going to be critical to what they're doing.
[00:26:29.680 --> 00:26:34.920] And further missions that they do, these simulated missions, there's two more coming.
[00:26:35.160 --> 00:26:38.120] They're going to, I think, delve deeper into those things.
[00:26:38.120 --> 00:26:42.600] So during the simulation, NASA closely was monitoring their health, their performance.
[00:26:42.840 --> 00:26:46.440] They were gathering lots of data to support the crew during extended missions.
[00:26:46.760 --> 00:26:49.400] They were having fake mission control.
[00:26:49.800 --> 00:26:54.600] They were identifying potential risks, particularly with the limited nutrition that they had.
[00:26:54.600 --> 00:27:02.840] And now they're doing a two-week post-mission data collection and trying to figure out as much as they can over the data that they collected.
[00:27:02.840 --> 00:27:15.320] Brockwell, who is the CHEPIA flight engineer, highlighted the mission sustainability lessons, and he was emphasizing the importance of using resources sustainably and processing waste efficiently.
[00:27:15.320 --> 00:27:20.200] These principles were going to be crucial for long-term survival and exploration on Mars.
[00:27:20.200 --> 00:27:31.320] So, you know, I know that we're going to have to resupply people on Mars, but we're going to try to make them as self-sufficient as possible and have them recycle as much as they can possibly recycle, of course.
[00:27:31.320 --> 00:27:38.680] So now NASA had collected this extensive data on the cognitive and physical performance of the crew, and this is another huge part of this.
[00:27:38.680 --> 00:27:45.720] And this data is crucial for understanding how these extended space missions, you know, might impact human health and performance.
[00:27:45.720 --> 00:27:48.040] You know, there are pretty extreme factors here.
[00:27:48.040 --> 00:27:50.440] People are going to be very far away from the Earth.
[00:27:50.440 --> 00:27:52.520] There is no, like, hey, we're in trouble.
[00:27:52.520 --> 00:27:53.560] Come help us.
[00:27:53.560 --> 00:27:56.360] There's going to be a supply chain that we set up.
[00:27:56.360 --> 00:28:05.560] But when they land on that planet, you know, hopefully we'll have a lot of resources already there, and even 3D-built enclosures for them, and everything.
[00:28:05.560 --> 00:28:13.960] So, of course, these tests are absolutely required because they're figuring out tons of things that they just wouldn't think of on the draft board.
[00:28:13.960 --> 00:28:18.160] You know, they have to see people in the environment doing what they're doing and living through the stresses.
[00:28:18.400 --> 00:28:32.720] So, this mission provided these valuable insights into developing new technological solutions for future Mars missions, and the data gathered will help them in designing better systems that will support life on the red planet.
[00:28:32.720 --> 00:28:42.960] Now, I know that the gravity is an issue, it's not like a horrible situation, it's not like the moon where it's very difficult to get around, but it still is quite different.
[00:28:42.960 --> 00:28:47.760] It could affect people's sleep, it could affect how much energy they expend.
[00:28:47.760 --> 00:28:50.640] Because I remember we had this conversation, Bob.
[00:28:50.640 --> 00:28:58.480] We were talking about moving around on the moon and how you know, how it's very difficult to move on the moon, particularly if you're wearing a spacesuit.
[00:28:58.480 --> 00:29:07.520] And it could even be more exhausting to move in a lower G environment because you have to do weird things with your body to get to where you want to go.
[00:29:07.520 --> 00:29:16.800] You know, walking is very efficient for us, but when you're in a lower earth gravity, lower than earth gravity, your whole movement patterns have to change.
[00:29:16.800 --> 00:29:23.920] So, I'll be really curious to see how they're going to simulate that and see if they can pull any useful data out of that to help the people that are going to eventually go.
[00:29:23.920 --> 00:29:31.520] So, this was the first of three missions, like I said, with the next two scheduled for 2025 and the following year, 26.
[00:29:31.520 --> 00:29:41.440] These missions, of course, aim to further explore these challenges, and they're going to continue to make things as difficult as possible for them just to see where the breaking points are.
[00:29:41.440 --> 00:29:48.080] I think, you know, them having to develop new technology and everything with Mars in mind is going to be incredibly helpful to them.
[00:29:48.080 --> 00:29:52.240] So, one of the biggest challenges they had was managing this communication delay, right?
[00:29:52.240 --> 00:29:58.800] So, they're depending on how far away the Earth is from Mars, the amount of hours it takes to communicate changes.
[00:29:58.800 --> 00:30:05.800] But they were using a 44-minute round trip in this experiment, but that time will change depending on the distance to the Earth.
[00:30:05.800 --> 00:30:16.840] But it is significant, and the crew had to learn to adapt to these communication limitations while they were trying to maintain their mental health and their team dynamics.
[00:30:16.840 --> 00:30:29.560] Of course, these people were talking to their families while they were in this situation, and they were having a hard time dealing with trying to find times that they can talk to their families because scheduling is a big problem.
[00:30:29.560 --> 00:30:33.320] And of course, it's not just an open mic, they're not going to let them talk whenever they want to.
[00:30:33.560 --> 00:30:37.320] It was regimented, they had to be very, you know, very careful on how they did it.
[00:30:37.320 --> 00:30:43.320] You can't have a conversation with someone if it takes 44 minutes for round-trip communication.
[00:30:43.320 --> 00:30:45.960] That's really you have to artificially delay it, right?
[00:30:45.960 --> 00:30:48.600] Yeah, so I mean, I would imagine, yeah, they did.
[00:30:48.600 --> 00:30:49.960] They artificially delayed everything.
[00:30:50.520 --> 00:30:55.160] So, I would imagine that you would communicate with people more with pre-recordings, right?
[00:30:55.160 --> 00:30:59.960] If you think about it, at least you could, you know, you can't have a sentence-to-sentence conversation with someone.
[00:31:00.280 --> 00:31:03.000] You do that with mission control if there's a problem, of course.
[00:31:03.000 --> 00:31:06.760] But you're not going to want to talk to your wife, like, okay, I'm going to wait 44 minutes.
[00:31:06.760 --> 00:31:07.560] I love you.
[00:31:07.560 --> 00:31:07.960] I love you.
[00:31:08.040 --> 00:31:09.480] I would violate a simulation.
[00:31:09.960 --> 00:31:11.880] It wouldn't be realistic in this case.
[00:31:12.120 --> 00:31:18.040] So, they did find a sticking point here with the communication gap, you know, that it was hard for them to deal with.
[00:31:18.040 --> 00:31:27.560] You know, lots of interesting little nuggets of information that I think are very important, and it's way better for us to figure these things out now than 10 years from now, right?
[00:31:27.560 --> 00:31:32.600] We want to have this really, really thought out and understand all the different things that they're going to go through.
[00:31:32.600 --> 00:31:40.920] You know, we were talking at one point, Steve, about how one full-size tree could produce enough oxygen to make certain.
[00:31:41.080 --> 00:31:41.800] How many people was it?
[00:31:41.800 --> 00:31:42.520] Do you remember, Steve?
[00:31:42.520 --> 00:31:44.120] Was it one person or was it like 10 people?
[00:31:44.120 --> 00:31:45.000] No, I think it was just like one person.
[00:31:45.520 --> 00:31:48.480] It was one person per large-sized tree, right?
[00:31:48.480 --> 00:31:52.640] So I wonder if they will be building any enclosures to have trees in them.
[00:31:52.640 --> 00:31:53.520] I would hope so.
[00:31:53.520 --> 00:31:55.280] I think even just for your mental health.
[00:31:55.280 --> 00:31:57.920] Yeah, I mean, you don't need trees to get the oxygen, right?
[00:31:58.240 --> 00:31:59.520] Any plant growth.
[00:31:59.520 --> 00:32:10.640] In fact, an actual Mars settlement, the problem would be making too much oxygen because, in order to grow enough plants to feed everybody, it would produce more oxygen than they would need.
[00:32:10.640 --> 00:32:13.440] And you can't have the oxygen building up.
[00:32:13.440 --> 00:32:20.560] So, yeah, you have to actually either vent it or turn it into water or put it into tanks for fuel or whatever.
[00:32:20.560 --> 00:32:21.840] You have to do something with it.
[00:32:22.240 --> 00:32:27.360] But making enough oxygen is not going to be the problem.
[00:32:27.520 --> 00:32:30.160] It's probably going to be what to do with the excess oxygen.
[00:32:30.160 --> 00:32:30.960] Well, that's good.
[00:32:30.960 --> 00:32:32.000] I'd rather have that problem.
[00:32:32.320 --> 00:32:34.000] The worst case scenario is you just vent it.
[00:32:34.240 --> 00:32:37.600] Yeah, but that assumes they're growing 100% of their calories from crops.
[00:32:38.080 --> 00:32:39.600] I don't think they will to begin with.
[00:32:39.600 --> 00:32:41.120] I mean, I think they'll want to ramp up to that.
[00:32:41.120 --> 00:32:41.680] They're going to have to have.
[00:32:41.840 --> 00:32:46.400] Well, the simulation said it was a lot of shelf, long, long-term shelf food.
[00:32:46.400 --> 00:32:47.120] That's mostly.
[00:32:47.280 --> 00:32:49.760] But I'd say it'd take a year to get more food.
[00:32:51.280 --> 00:32:57.840] Yeah, unless you, like Jay said, also, unless you pre-ship your groceries and a lot of the stuff.
[00:32:57.920 --> 00:32:59.680] That's part of the plan.
[00:32:59.840 --> 00:33:07.440] You know, as a brain experiment, I try to put myself in a position, like, first of all, you know, I'm not leaving the Earth for anything.
[00:33:07.440 --> 00:33:17.680] But if I had to go to Mars, like, I would be freaking out just about my limited food selection for the rest of my life, you know, like or for wherever, however many years you're supposed to go.
[00:33:17.680 --> 00:33:20.240] You know, as I get older, I'm like more and more into food.
[00:33:20.240 --> 00:33:21.040] I like to cook more.
[00:33:21.040 --> 00:33:22.560] I'm like just way more into it.
[00:33:22.560 --> 00:33:24.320] It would be an impossible thing.
[00:33:24.560 --> 00:33:25.840] I couldn't get over it.
[00:33:25.840 --> 00:33:26.240] I couldn't.
[00:33:26.240 --> 00:33:29.760] Imagine, like, you're never going to have tomato sauce again.
[00:33:29.960 --> 00:33:30.680] Well, you could.
[00:33:30.680 --> 00:33:35.960] I mean, you would have to, Jay, if you were thrust into a situation in which you had to adapt, you would adapt.
[00:33:35.960 --> 00:33:38.280] I mean, I'd do it, but I'd be miserable.
[00:33:39.000 --> 00:33:40.520] Yeah, maybe not for long, though.
[00:33:40.520 --> 00:33:43.400] I think your brain would kind of remarkably adaptive.
[00:33:43.880 --> 00:33:48.200] We are, but also, I think some people would have more intense mental health reactions than others.
[00:33:48.200 --> 00:33:49.000] Yeah, and that's true.
[00:33:49.160 --> 00:33:57.800] And that's why, you know, I think we've talked about this before, but like what we used to consider the quote-unquote right stuff, that's a very different calculation now.
[00:33:57.800 --> 00:33:58.120] Yeah.
[00:33:58.440 --> 00:34:09.160] When you're talking about an extended settlement of something if I don't get enough meatballs and peanut butter, the other people's lives would be in danger.
[00:34:09.800 --> 00:34:13.000] Jay, we should write a book called There Are No Meatballs on Mars.
[00:34:13.880 --> 00:34:15.880] Is that a horror story, Steve?
[00:34:16.200 --> 00:34:18.760] This is an exploration of what it would take to go on Mars.
[00:34:18.840 --> 00:34:19.800] I know that book's already been written.
[00:34:20.120 --> 00:34:23.000] So, Kara, like, tomorrow is my mom's birthday, right?
[00:34:23.640 --> 00:34:29.160] So, my mom, I was talking to Steve about this today on the live stream, the TikTok live stream.
[00:34:29.160 --> 00:34:34.760] My mom wanted to go to Olive Garden, and I'm just literally like, you know, like Olive Garden.
[00:34:35.480 --> 00:34:38.360] I'd rather eat sawdust than go to Olive Garden.
[00:34:38.360 --> 00:34:38.760] Okay.
[00:34:39.000 --> 00:34:40.440] Because they don't cook food there.
[00:34:40.440 --> 00:34:41.000] Yeah, it's right there.
[00:34:41.000 --> 00:34:41.880] Because they're heated up.
[00:34:41.880 --> 00:34:42.440] They heat it up.
[00:34:42.440 --> 00:34:43.880] It's not a chain restaurant.
[00:34:44.280 --> 00:34:45.160] Terrible.
[00:34:45.160 --> 00:34:49.880] So Bob goes, all right, well, Jay wants mom wants meatballs and homemade bread.
[00:34:49.880 --> 00:34:54.680] You know, Bob throws out like these two things that, of course, I love to make and I love to eat.
[00:34:54.680 --> 00:34:59.000] But I had to explain to Bob, it's a day of cooking to do all that.
[00:34:59.000 --> 00:34:59.800] You know what I mean?
[00:34:59.960 --> 00:35:00.840] It's significant.
[00:35:00.840 --> 00:35:04.440] It's not like I couldn't actually pull it off by myself because I have to work tomorrow.
[00:35:04.440 --> 00:35:08.520] You know, like this is something I would typically do over a couple day period.
[00:35:08.520 --> 00:35:12.440] But then my mother-in-law and my wife were like, we will cook her whatever she wants.
[00:35:12.440 --> 00:35:14.200] So we're actually doing it now, Bob.
[00:35:14.240 --> 00:35:14.960] But okay.
[00:35:14.960 --> 00:35:16.160] Can I ask you a question?
[00:35:16.160 --> 00:35:16.560] Yeah.
[00:35:16.560 --> 00:35:19.040] Because I love you guys, and I don't get breadsticks with you.
[00:35:19.280 --> 00:35:22.000] I don't want to ask you to be whatever.
[00:35:22.000 --> 00:35:25.040] If mom wants olive garden, why don't you let mom have olive garden?
[00:35:25.440 --> 00:35:27.200] Yeah, that was everyone's plan but Jay's.
[00:35:27.200 --> 00:35:28.560] Jay was the only one.
[00:35:29.200 --> 00:35:31.840] Why is your distaste for olive garden?
[00:35:32.000 --> 00:35:33.040] No, we were going to do that.
[00:35:33.040 --> 00:35:34.000] We were going to do that.
[00:35:34.400 --> 00:35:37.840] Yeah, I talked to Jay, and he agreed.
[00:35:37.840 --> 00:35:39.200] He's like, yeah, he'll do it.
[00:35:39.200 --> 00:35:39.840] He was going to do it.
[00:35:39.840 --> 00:35:46.480] He just made it clear to me in no uncertain terms that Olive Garden, he thinks Olive Garden is shite.
[00:35:46.480 --> 00:35:48.080] So that's fine.
[00:35:48.080 --> 00:35:57.920] But then I talked to Courtney today and she's like, well, let's ask mom if she would be willing to come over and have spaghetti and meatballs at their house.
[00:35:57.920 --> 00:35:58.880] And she said, yes.
[00:35:58.880 --> 00:36:01.040] I was surprised, but that's fine.
[00:36:01.440 --> 00:36:05.520] And look, I told my mom, Mom, I will bring you to Olive Garden next week.
[00:36:05.520 --> 00:36:06.000] Good.
[00:36:06.400 --> 00:36:07.520] We bring her there all the time.
[00:36:07.520 --> 00:36:10.480] She likes to go there because she likes to buy the take-home meals.
[00:36:10.480 --> 00:36:12.080] Then she has food for the week.
[00:36:12.080 --> 00:36:12.400] Yeah.
[00:36:12.400 --> 00:36:12.640] Right?
[00:36:13.040 --> 00:36:17.040] And I think the thing about Olive Garden, as somebody who's a good person.
[00:36:17.280 --> 00:36:18.960] I know it's going to get Jay for his birthday now.
[00:36:20.080 --> 00:36:26.560] The thing about it, you know, you can talk about the fat content of the food or you can talk about all these different things.
[00:36:26.560 --> 00:36:32.560] You can talk about, you know, whatever happens in the kitchen, is that it is consistent.
[00:36:33.360 --> 00:36:37.120] And I think for people who like routine, who have cravings.
[00:36:37.440 --> 00:36:40.000] Pantera and Chipotle, all of them.
[00:36:40.000 --> 00:36:41.440] Did you say Pantera?
[00:36:41.680 --> 00:36:42.160] What did I say?
[00:36:42.480 --> 00:36:43.120] Yeah, Pantera.
[00:36:43.360 --> 00:36:43.840] Pantera?
[00:36:44.320 --> 00:36:44.640] Pantera.
[00:36:44.720 --> 00:36:45.200] Panera.
[00:36:45.600 --> 00:36:46.480] I don't know if it's better.
[00:36:47.600 --> 00:36:48.480] But Kara, the other one.
[00:36:48.720 --> 00:36:49.600] Write that down, Skara.
[00:36:49.600 --> 00:36:50.240] Put that on the list.
[00:36:50.720 --> 00:36:52.960] Pantera, McDougal's, all of them.
[00:36:53.120 --> 00:36:53.840] Yeah, that's right.
[00:36:53.840 --> 00:36:56.560] Megadeth's Burger Queen for her.
[00:36:56.560 --> 00:36:57.360] Good with all of that.
[00:36:57.680 --> 00:36:59.280] Of course, you would go for her, of course.
[00:36:59.280 --> 00:37:04.200] But the thing I'm saying is, and I knew this instinctively, like, yeah, my mom would go to Olive Garden.
[00:36:59.840 --> 00:37:04.920] She likes to go there.
[00:37:05.160 --> 00:37:12.200] My mom loves coming over to my house for home-cooked meals because my wife and I, like, just, you know, we throw 100% of ourselves into it.
[00:37:12.200 --> 00:37:16.680] We try to do the, you know, we love it, and it's meaningful to us, and we cook really good food, right?
[00:37:16.680 --> 00:37:17.080] Yeah.
[00:37:17.080 --> 00:37:19.160] So I knew that she was going to be down for that.
[00:37:19.160 --> 00:37:23.080] But, you know, I did have this visceral reaction thinking, like, Olive Garden.
[00:37:24.120 --> 00:37:25.000] Oh, my God.
[00:37:25.320 --> 00:37:27.400] All of a sudden, there was this weight on my shoulder.
[00:37:27.400 --> 00:37:27.960] Like, oh.
[00:37:28.120 --> 00:37:30.280] Jay, you just have to know what to order there.
[00:37:30.280 --> 00:37:31.560] Yeah, there's some tasty shit there.
[00:37:31.560 --> 00:37:31.880] I don't care.
[00:37:32.520 --> 00:37:34.840] You got to dip the breadsticks in the Alfredo sauce.
[00:37:34.920 --> 00:37:35.560] Oh, God, help me.
[00:37:35.640 --> 00:37:35.960] Oh, my God.
[00:37:37.240 --> 00:37:38.920] My biggest beef.
[00:37:39.560 --> 00:37:40.520] We're going to Olive Garden.
[00:37:41.080 --> 00:37:43.880] My biggest beef is that you go there and indulge a little bit.
[00:37:43.880 --> 00:37:48.040] You're walking away with about 2,500 calories.
[00:37:48.520 --> 00:37:52.840] It's just like, I just had two days of food in one meal.
[00:37:52.840 --> 00:37:55.080] If I don't eat like that, it's going to be my food.
[00:37:55.960 --> 00:37:57.160] It's not going to be their food.
[00:37:57.720 --> 00:38:03.640] If I'm going to break my diet and actually eat for two and a half days in 10 minutes, it's going to be on my camera.
[00:38:03.640 --> 00:38:05.080] I'm going to have to have candy bars if I'm going to do that.
[00:38:05.480 --> 00:38:07.880] And I'll have breadsticks with Alfredo sauce.
[00:38:08.520 --> 00:38:09.640] Yeah, those breadsticks are.
[00:38:09.800 --> 00:38:12.360] I mean, Steve, I really got to look at this, okay?
[00:38:12.680 --> 00:38:15.480] You could eat like four of those before your meal arrives.
[00:38:15.560 --> 00:38:21.320] Like, okay, my dinner's the appetizer's not even here, and I'm already 700 calories in.
[00:38:23.320 --> 00:38:24.120] It's nuts.
[00:38:24.120 --> 00:38:25.480] And that's if you haven't had a drink.
[00:38:25.480 --> 00:38:26.760] Some people have alcohol.
[00:38:26.840 --> 00:38:27.160] Oh, my God.
[00:38:27.640 --> 00:38:28.600] 300, 400 people.
[00:38:28.760 --> 00:38:29.000] You're right.
[00:38:29.000 --> 00:38:29.960] A pop, man.
[00:38:30.600 --> 00:38:31.960] Anyway, go ahead, Steve.
[00:38:31.960 --> 00:38:32.360] All right.
[00:38:32.600 --> 00:38:33.360] Steve, you wanted to mention that?
[00:38:33.520 --> 00:38:35.000] Yes, moving on?
[00:38:35.000 --> 00:38:37.640] We're going to talk about HIV.
[00:38:37.640 --> 00:38:37.960] Uh-oh.
[00:38:38.040 --> 00:38:39.800] Which I think we've talked about in a while.
[00:38:40.120 --> 00:38:41.800] We're going to start with the mostly calories.
[00:38:41.800 --> 00:38:43.400] Currently, it's here to talk about.
[00:38:44.200 --> 00:38:46.800] Let's just start with the lead.
[00:38:46.800 --> 00:38:49.200] All right, just give you the bottom line here.
[00:38:44.840 --> 00:38:50.000] Bury the lead.
[00:38:50.320 --> 00:38:55.120] A new study, a new study of a new preventive treatment.
[00:38:55.600 --> 00:38:59.840] This is something that people who are not infected with HIV take to PEP.
[00:39:00.480 --> 00:39:01.040] It's a PrEP.
[00:39:01.040 --> 00:39:02.240] Yeah, it's a which is.
[00:39:02.480 --> 00:39:02.800] Who?
[00:39:02.960 --> 00:39:04.160] A prophylactic.
[00:39:04.720 --> 00:39:08.800] Well, like PrEP, like it's there is one out there right now, and it is literally called PrEP.
[00:39:08.800 --> 00:39:09.680] That's the name of the drug.
[00:39:10.240 --> 00:39:11.600] PrEP is not the name of the drug.
[00:39:12.000 --> 00:39:15.520] PrEP is the name of the treatment strategy.
[00:39:15.520 --> 00:39:16.960] There are PrEP drugs.
[00:39:17.280 --> 00:39:19.440] PrEP is pre-exposure prophylaxis.
[00:39:19.440 --> 00:39:19.920] That's what it means.
[00:39:20.080 --> 00:39:21.760] Pre-exposure prophylaxis.
[00:39:21.760 --> 00:39:24.640] There are right now.
[00:39:24.640 --> 00:39:31.920] Truvada, Dyscovi, and Apritude are the three PrEP drugs that are on the market now.
[00:39:31.920 --> 00:39:32.640] I think I've seen commercial.
[00:39:32.800 --> 00:39:33.600] Truvada and Dyscovi.
[00:39:33.680 --> 00:39:35.680] It's funny because they always just refer to it as PrEP.
[00:39:36.000 --> 00:39:38.000] Yeah, but PrEP is just, again, that's the strategy.
[00:39:38.160 --> 00:39:38.480] Yeah, sure.
[00:39:38.880 --> 00:39:40.560] So the first two are pills.
[00:39:40.560 --> 00:39:43.200] The Apritude is a monthly injection.
[00:39:43.200 --> 00:39:43.520] That's it.
[00:39:43.680 --> 00:39:47.680] And they're about 99% effective.
[00:39:47.680 --> 00:39:50.720] But they have specific populations that they target.
[00:39:50.720 --> 00:40:02.480] Like Truvada is for people who get it through either sex or drug injection, whereas Dyscovi is specifically for sexually active men or transgender women who have sex with men.
[00:40:02.880 --> 00:40:04.080] So that's mainly.
[00:40:04.080 --> 00:40:12.960] So there's differences in whether you're getting it through drugs, through vaginal sex, through anal resex, through anal sex, if you're the giver or the receiver.
[00:40:12.960 --> 00:40:18.160] All these things are different risk factors, you know, for contracting HIV.
[00:40:18.800 --> 00:40:23.240] And you can't assume that a drug that's optimal for one is optimal for all of those, right?
[00:40:23.200 --> 00:40:25.840] But in any case, those are the three existing treatments.
[00:40:25.840 --> 00:40:35.080] But now there was a, not a conclusion, but there was a preliminary result from a phase three clinical trial of a new drug.
[00:40:35.240 --> 00:40:40.520] This is a twice-a-year injection every six months.
[00:40:41.000 --> 00:40:42.520] Wait a second, twice a year every six months.
[00:40:42.600 --> 00:40:43.560] Oh, yeah, that checks out.
[00:40:43.560 --> 00:40:43.960] Okay.
[00:40:43.960 --> 00:40:44.360] Yeah.
[00:40:44.360 --> 00:40:44.760] Yeah.
[00:40:45.080 --> 00:40:46.280] Except leap years, Bob.
[00:40:46.280 --> 00:40:47.080] You're off of dead.
[00:40:47.800 --> 00:40:49.320] This is the purpose one trial.
[00:40:49.560 --> 00:40:53.000] The drug is lenacapovir, lenacapovir.
[00:40:53.000 --> 00:40:55.640] And guess how effective it was in this clinical trial?
[00:40:56.040 --> 00:40:57.000] 99%.
[00:40:57.080 --> 00:40:58.280] 91%.
[00:40:58.280 --> 00:40:59.720] 99.44%.
[00:40:59.960 --> 00:41:00.280] 100%.
[00:41:00.440 --> 00:41:01.240] So pure it floats.
[00:41:02.120 --> 00:41:03.400] 100%.
[00:41:03.400 --> 00:41:04.120] Wow.
[00:41:04.120 --> 00:41:05.480] Nothing's 100%.
[00:41:05.640 --> 00:41:06.120] I know, right?
[00:41:06.120 --> 00:41:07.960] Nothing's 100%, but this was.
[00:41:10.120 --> 00:41:11.080] And that thing from 93%.
[00:41:11.320 --> 00:41:13.000] How many people did they study it on?
[00:41:13.000 --> 00:41:13.560] Four?
[00:41:13.880 --> 00:41:14.440] No.
[00:41:14.440 --> 00:41:15.080] So they studied it.
[00:41:15.160 --> 00:41:15.800] It better be more than that.
[00:41:16.040 --> 00:41:27.640] So for the trial, it was a comparison between the Lenacapivir, the new twice-a-year injection, versus the two oral ones that I talked about, right?
[00:41:27.640 --> 00:41:29.480] The Truvada and the Descovy.
[00:41:30.280 --> 00:41:40.760] So there were 2,134 women in the new treatment arm, right, for at least 52 weeks.
[00:41:40.760 --> 00:41:42.600] And there were zero cases.
[00:41:42.600 --> 00:41:47.640] So zero out of 2,134 over a year.
[00:41:47.640 --> 00:41:49.400] How risky was their behavior?
[00:41:49.400 --> 00:41:57.080] This is in South Africa, and young women were specifically targeted because they are the highest risk group in that country.
[00:41:57.080 --> 00:41:58.760] So it's a very high-risk group.
[00:41:58.760 --> 00:42:12.040] Well, but here's the comparison: 1.5% of the women who took Truvada were infected over the study period, and 1.8% of the Duscovier patients.
[00:42:12.440 --> 00:42:18.720] So even compared against effective PrEP, this was more effective.
[00:42:14.840 --> 00:42:20.000] Nice.
[00:42:20.320 --> 00:42:23.040] Yeah, and they also compare it to just background rates.
[00:42:23.040 --> 00:42:26.240] They couldn't do a pure placebo arm because it's unethical.
[00:42:27.440 --> 00:42:30.880] And Steve, the animal trials before this obviously came up with the same result?
[00:42:30.880 --> 00:42:37.040] I don't know if it was 100% in the animal trials, but it was, you know, they had high hopes for it because it's.
[00:42:37.280 --> 00:42:38.800] It must have come close, if not 100%.
[00:42:39.520 --> 00:42:40.720] Yeah, I didn't.
[00:42:40.960 --> 00:42:48.880] And when you see a result that when you see a result that yields a 100% rate, does that cause any questioning just because of the result?
[00:42:49.120 --> 00:42:50.960] Well, I mean, a little bit.
[00:42:50.960 --> 00:42:52.720] You have to look carefully just to make sure that.
[00:42:52.800 --> 00:42:54.080] It's a prior plausibility.
[00:42:54.400 --> 00:42:55.600] Is it a new technology?
[00:42:55.600 --> 00:42:57.440] What do they attribute the success to?
[00:42:57.440 --> 00:42:59.040] It's just very effective.
[00:42:59.040 --> 00:43:03.920] Yeah, and remember that in this case, other drugs are 99% effective.
[00:43:03.920 --> 00:43:04.480] So it's not.
[00:43:04.880 --> 00:43:08.320] Yeah, well, there was 98.5 and 98.2.
[00:43:08.320 --> 00:43:08.720] And they weren't going to be able to do it.
[00:43:08.800 --> 00:43:12.240] But you can see that last little bit is really tough to get past.
[00:43:12.240 --> 00:43:14.320] I looked at the methods and everything.
[00:43:14.320 --> 00:43:14.960] It all checks out.
[00:43:15.360 --> 00:43:16.480] There's no big red flags.
[00:43:16.480 --> 00:43:17.840] It seems like it was a legit trial.
[00:43:18.880 --> 00:43:25.600] So I'm not seeing anything like, oh, we should question these results, unless there was something not reflected in the write-up.
[00:43:26.160 --> 00:43:28.160] But there's two things to point out here.
[00:43:28.160 --> 00:43:30.560] So one, it's a new mechanism of action, right?
[00:43:30.560 --> 00:43:35.440] So the thinking might be that, well, maybe this is just a really effective mechanism of action.
[00:43:35.440 --> 00:43:41.120] So the Truvada and Descovy both have tenofavir in it.
[00:43:41.120 --> 00:43:41.920] Then that is.
[00:43:42.240 --> 00:43:44.720] Oh, and Steve, I thought it was pronounced a discovi.
[00:43:44.720 --> 00:43:45.040] It could be.
[00:43:45.120 --> 00:43:46.640] I feel like that's what they always say in the commercial.
[00:43:46.720 --> 00:43:47.040] Oh, yeah.
[00:43:47.040 --> 00:43:47.520] It could be discovy.
[00:43:47.480 --> 00:43:48.080] Discovyed.
[00:43:48.160 --> 00:43:49.360] Yeah, I just never heard it says.
[00:43:49.520 --> 00:43:51.040] I know what these drug names are like.
[00:43:51.040 --> 00:43:54.480] So the two pills are replication inhibitors.
[00:43:54.480 --> 00:43:58.800] They basically get incorporated into the HIV's DNA.
[00:43:58.800 --> 00:44:00.440] Remember, HIV is a retrovirus.
[00:43:59.920 --> 00:44:04.920] It has to insert its DNA into a host cell's DNA so that it gets replicated.
[00:44:05.240 --> 00:44:14.120] The tenofovir treatments, they incorporate themselves into the DNA and stop the replication.
[00:44:14.120 --> 00:44:16.440] So they basically are replication inhibitors.
[00:44:16.440 --> 00:44:28.200] The every month injection, which is cabotegravir, that binds to an enzyme called integrase, which is necessary for the DNA to integrate into the host DNA.
[00:44:28.200 --> 00:44:32.440] So it's an integration inhibitor, you know, enzyme, integrase inhibitor.
[00:44:32.440 --> 00:44:48.040] So when these drugs are used correctly, they're 99% effective, which leads to the other aspect of the new drug, which is it's thought that it's really effective because it's a once every six-month injection.
[00:44:48.440 --> 00:44:52.680] So one of the biggest problems with the daily pill is that you got to take it every single day.
[00:44:52.680 --> 00:45:01.240] Yeah, I was going to say, the point whatever percent higher effectiveness, I think, is much less compelling than you only have to get two shots a year.
[00:45:01.240 --> 00:45:02.520] But those are related.
[00:45:02.840 --> 00:45:03.240] Okay.
[00:45:03.240 --> 00:45:04.040] Oh, interesting.
[00:45:04.040 --> 00:45:05.320] Yeah, so that's what I'm saying.
[00:45:06.360 --> 00:45:07.160] Compliance.
[00:45:07.480 --> 00:45:18.360] Right, especially for this population, because they were saying, like, for young women in South Africa, having to take a pill every day can be a stigma, and they might not be able to do it.
[00:45:18.680 --> 00:45:23.960] I assumed that they were looking at effectiveness regardless of treatment adherence.
[00:45:23.960 --> 00:45:27.640] No, so there's a difference between efficacy and effectiveness.
[00:45:27.640 --> 00:45:28.040] Yeah.
[00:45:28.840 --> 00:45:37.720] But in this trial, I don't know that they were necessarily tracking the compliance of the subjects.
[00:45:38.040 --> 00:45:46.640] So there's something called an intention to treat model of a trial where it's like I give the patient a prescription and then we see how they do, right?
[00:45:46.640 --> 00:45:49.360] And it incorporates whether or not.
[00:45:44.920 --> 00:45:49.920] Real world.
[00:45:50.160 --> 00:45:58.080] Yeah, like real world, does the patient actually take it as opposed to efficacy, which is if you take it exactly like you're supposed to, how well does it work?
[00:45:58.240 --> 00:46:07.280] But a lot of trials could combine those because it's basically an efficacy trial, but there may be a greater dropout rate or there may be greater non-compliance or whatever.
[00:46:07.280 --> 00:46:13.520] By the way, so the new drug, the Lenacapivir, the twice-a-year injection, is an HIV capsid drug.
[00:46:13.520 --> 00:46:17.600] So it binds to the capsid around the HIV, right?
[00:46:17.600 --> 00:46:24.800] The human immunodeficiency virus, and it blocks three different steps in HIV viral replication.
[00:46:24.800 --> 00:46:28.480] So it's a new mechanism that just probably may be more effective.
[00:46:28.480 --> 00:46:36.800] But the big thing, the thing they're really touting is, you know, people just have to show up twice a year to get the injection and they're covered.
[00:46:36.800 --> 00:46:37.760] There's no stigma.
[00:46:37.760 --> 00:46:41.440] They don't have to take a pill every day or go every month for an injection.
[00:46:41.440 --> 00:46:47.600] So the effectiveness is likely to be superior just for that reason.
[00:46:47.920 --> 00:46:51.360] Oh, yeah, because from a public health perspective, you can offer that in work.
[00:46:51.600 --> 00:46:51.840] Exactly.
[00:46:52.160 --> 00:46:54.720] Even a public school health intervention.
[00:46:55.440 --> 00:47:02.720] Yeah, it's way more effective than you've got to show up and get your pills every month and you've got to take a pill every day and blah, blah, blah.
[00:47:02.720 --> 00:47:04.400] That's why people are really excited about it.
[00:47:04.400 --> 00:47:12.640] Now, the company, which I don't know when they gave the, I don't know how and when the company got this name, but the name of the company is Gilead.
[00:47:12.960 --> 00:47:13.600] Oh, yeah.
[00:47:13.600 --> 00:47:15.600] Gilead Pharmaceuticals has been around a long time.
[00:47:15.600 --> 00:47:16.240] Yeah, right?
[00:47:16.240 --> 00:47:17.120] It is unfortunate.
[00:47:17.360 --> 00:47:20.960] Yeah, so they were happy with the handmaid's tale when I came back.
[00:47:21.520 --> 00:47:23.280] Yeah, Gilead Pharmaceuticals.
[00:47:23.920 --> 00:47:27.280] But they said that they're going to Gilead Science is actually the name of the company.
[00:47:27.280 --> 00:47:27.920] Gilead Science.
[00:47:28.160 --> 00:47:28.880] Gilead, huh?
[00:47:28.960 --> 00:47:29.240] Yeah.
[00:47:29.040 --> 00:47:34.600] But they said that they were going to make the drug available to generic producers.
[00:47:35.400 --> 00:47:39.400] So they're not going to basically enforce their patent.
[00:47:39.640 --> 00:47:40.920] They're not going to keep it to themselves.
[00:47:40.920 --> 00:47:41.960] Oh, that's awesome.
[00:47:41.960 --> 00:47:42.520] Good for that.
[00:47:42.760 --> 00:47:43.960] That Scavelli guy.
[00:47:45.000 --> 00:47:45.400] Oh, my God.
[00:47:45.640 --> 00:47:46.040] That guy.
[00:47:46.040 --> 00:47:46.680] That FBI guy.
[00:47:46.840 --> 00:47:47.400] That's that guy.
[00:47:47.560 --> 00:47:48.200] Scarelli, I think.
[00:47:49.000 --> 00:47:49.640] Skrelli.
[00:47:49.640 --> 00:47:50.120] Skrelly.
[00:47:50.360 --> 00:47:51.960] Martin or Marvin or something.
[00:47:52.280 --> 00:47:52.680] Scumbag.
[00:47:53.400 --> 00:47:54.920] Scumbag Skrelly.
[00:47:54.920 --> 00:47:57.320] This could be potentially huge, right?
[00:47:57.400 --> 00:47:57.640] Huge.
[00:47:58.120 --> 00:48:09.240] If this drug is picked up, you know, by governments purchase lots of it and make it freely available, which would be an incredibly cost-effective public health intervention because.
[00:48:10.200 --> 00:48:18.360] Yeah, I mean, paying for two doses of a drug a year is going to be way cheaper than treating that 1% or 2% or whatever.
[00:48:19.240 --> 00:48:22.440] And it's not people in some of these countries.
[00:48:22.440 --> 00:48:23.080] Yeah, right.
[00:48:23.080 --> 00:48:23.480] This is like...
[00:48:23.480 --> 00:48:24.600] It's much higher than 1 or 2%.
[00:48:24.680 --> 00:48:25.480] Oh, yeah, you're right.
[00:48:27.000 --> 00:48:30.840] It could be, especially in this population, it could be very high.
[00:48:31.240 --> 00:48:37.160] When I was in Eswatini, which is the country with the highest HIV rate in the world, it's high.
[00:48:37.160 --> 00:48:37.560] It's high.
[00:48:37.880 --> 00:48:39.560] I think we're in the 30s.
[00:48:39.560 --> 00:48:47.960] Worldwide, worldwide, there are 39 million cases with over 1 million new infections per year.
[00:48:48.280 --> 00:48:49.080] 1 million.
[00:48:49.480 --> 00:48:50.120] Yeah, okay.
[00:48:50.120 --> 00:48:57.240] Eswatini, which is a small country in southern Africa, highest HIV prevalence in the world, 25.9% of its population.
[00:48:57.240 --> 00:48:59.560] Yeah, that's prevalence, though, not incidence.
[00:48:59.800 --> 00:49:00.680] Yeah, that's prevalence.
[00:49:00.680 --> 00:49:01.160] Yeah, I was talking about it.
[00:49:01.320 --> 00:49:06.760] The incidence rate is 0.62%, which is about 4,000 cases.
[00:49:06.920 --> 00:49:08.280] Yeah, but they said 1%.
[00:49:08.280 --> 00:49:09.160] Yeah, yeah, yeah, yeah.
[00:49:09.160 --> 00:49:17.760] So, in any case, the World Health Organization had a goal of reducing new HIV infections to zero by 2030.
[00:49:14.840 --> 00:49:21.040] They were really nowhere on track to achieve that.
[00:49:21.280 --> 00:49:22.560] They have the means to be able to do that.
[00:49:22.640 --> 00:49:25.760] They're probably not going to achieve that goal, but they were really not on track.
[00:49:25.760 --> 00:49:36.960] But this drug, if they really ramp up production and distribution of this drug, might change the calculus here and make it bring it back to, it's actually semi-plausible that they can do it.
[00:49:36.960 --> 00:49:43.680] If not 2030, by 2035 or whatever, zero new infections of HIV would be amazing.
[00:49:43.680 --> 00:49:48.080] And this drug, based upon this evidence, could plausibly do it.
[00:49:48.080 --> 00:49:51.440] It's just a matter of now just getting it into enough people.
[00:49:52.080 --> 00:50:01.920] I have to say, so part when we're when we do our 1,000th episode, one of the topics that we're going to be covering is the history of topics that we've been dealing with for a long time.
[00:50:01.920 --> 00:50:06.080] Like, you know, we'll talk about UFOs and what were they saying 30 years ago?
[00:50:06.080 --> 00:50:07.600] What were skeptics saying 30 years ago?
[00:50:07.600 --> 00:50:10.640] What's actually happened over the last 20, 30 years?
[00:50:10.640 --> 00:50:14.960] And so this is, we're not going to be talking about this one, but I'm going to talk about it briefly now.
[00:50:15.040 --> 00:50:19.360] 1980s basically is when the HIV exploded.
[00:50:19.600 --> 00:50:21.120] You know when the first case was?
[00:50:21.120 --> 00:50:23.120] The first case of HIV in a human?
[00:50:23.440 --> 00:50:24.160] 79.
[00:50:24.560 --> 00:50:25.680] Well, he was in blood.
[00:50:25.680 --> 00:50:27.920] Yeah, they only identified retrospectives.
[00:50:29.040 --> 00:50:30.080] 1959.
[00:50:30.800 --> 00:50:32.080] Yeah, that's when they discovered it.
[00:50:32.400 --> 00:50:32.960] Way earlier than that.
[00:50:34.080 --> 00:50:38.560] There was blood from a patient in 1959 that when they looked at said, this guy had HIV.
[00:50:38.560 --> 00:50:40.800] Yeah, so it was probably even earlier than that.
[00:50:41.040 --> 00:50:45.120] It crossed over probably from the chimpanzee to humans sometimes in the 1930s.
[00:50:45.120 --> 00:50:47.120] Yeah, that's what I thought in the 30s.
[00:50:47.120 --> 00:50:47.520] Yeah.
[00:50:47.840 --> 00:50:52.720] And you think about it, that is a spillover event, but it's a very, very small spillover event.
[00:50:53.040 --> 00:50:56.720] The truth of the matter is, HIV could be eradicated.
[00:50:56.720 --> 00:50:57.040] It could.
[00:50:57.280 --> 00:50:58.880] Well, yeah, isn't that kind of the bottom line?
[00:50:58.960 --> 00:51:02.840] Yeah, I don't know if it would technically be eradicated with an animal reservoir.
[00:50:59.840 --> 00:51:03.800] I think it would.
[00:51:04.120 --> 00:51:07.960] Yes, but it would be close to the spillover events are very, very rare.
[00:51:08.280 --> 00:51:09.240] But it's very rare.
[00:51:09.240 --> 00:51:12.520] It would be eliminated with very rare potential for spillover events.
[00:51:12.520 --> 00:51:14.680] Oh, basically, practically eradicated.
[00:51:14.680 --> 00:51:15.160] I agree.
[00:51:15.160 --> 00:51:16.680] And this is the kind of thing they can do.
[00:51:16.760 --> 00:51:27.000] But the point I was getting to is that we were hit with this new virus that completely transformed the infectious disease subspecialty, by the way.
[00:51:27.160 --> 00:51:3

Prompt 2: Key Takeaways

Now please extract the key takeaways from the transcript content I provided.

Extract the most important key takeaways from this part of the conversation. Use a single sentence statement (the key takeaway) rather than milquetoast descriptions like "the hosts discuss...". 

Limit the key takeaways to a maximum of 3. The key takeaways should be insightful and knowledge-additive. 

IMPORTANT: Return ONLY valid JSON, no explanations or markdown. Ensure:
- All strings are properly quoted and escaped
- No trailing commas
- All braces and brackets are balanced
Format: {"key_takeaways": ["takeaway 1", "takeaway 2"]}

Prompt 3: Segments

Now identify 2-4 distinct topical segments from this part of the conversation.

For each segment, identify:
- Descriptive title (3-6 words)  
- START timestamp when this topic begins (HH:MM:SS format)
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Most important Key takeaway from that segment. Key takeaway must be specific and knowledge-additive.
- Brief summary of the discussion

IMPORTANT: The timestamp should mark when the topic/segment STARTS, not a range. Look for topic transitions and conversation shifts.

Return ONLY valid JSON. Ensure all strings are properly quoted, no trailing commas:
{
  "segments": [
    {
      "segment_title": "Topic Discussion", 
      "timestamp": "01:15:30",
      "key_takeaway": "main point from this segment",
      "segment_summary": "brief description of what was discussed"
    }
  ]
}

Timestamp format: HH:MM:SS (e.g., 00:05:30, 01:22:45) marking the START of each segment.

Prompt 4: Media Mentions

Now scan the transcript content I provided for ACTUAL mentions of specific media titles:

Find explicit mentions of:
- Books (with specific titles)
- Movies (with specific titles)  
- TV Shows (with specific titles)
- Music/Songs (with specific titles)

DO NOT include:
- Websites, URLs, or web services
- Other podcasts or podcast names

IMPORTANT: 
- Only include items explicitly mentioned by name. Do not invent titles.
- Valid categories are: "Book", "Movie", "TV Show", "Music"
- Include the exact phrase where each item was mentioned
- Find the nearest proximate timestamp where it appears in the conversation
- THE TIMESTAMP OF THE MEDIA MENTION IS IMPORTANT - DO NOT INVENT TIMESTAMPS AND DO NOT MISATTRIBUTE TIMESTAMPS
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Timestamps are given as ranges, e.g. 01:13:42.520 --> 01:13:46.720. Use the EARLIER of the 2 timestamps in the range.

Return ONLY valid JSON. Ensure all strings are properly quoted and escaped, no trailing commas:
{
  "media_mentions": [
    {
      "title": "Exact Title as Mentioned",
      "category": "Book",
      "author_artist": "N/A",
      "context": "Brief context of why it was mentioned",
      "context_phrase": "The exact sentence or phrase where it was mentioned",
      "timestamp": "estimated time like 01:15:30"
    }
  ]
}

If no media is mentioned, return: {"media_mentions": []}

Prompt 5: Context Setup

You are an expert data extractor tasked with analyzing a podcast transcript. 
I will provide you with part 2 of 3 from a podcast transcript. 
I will then ask you to extract different types of information from this content in subsequent messages. Please confirm you have received and understood the transcript content.

Transcript section:
ou know when the first case was?
[00:50:21.120 --> 00:50:23.120] The first case of HIV in a human?
[00:50:23.440 --> 00:50:24.160] 79.
[00:50:24.560 --> 00:50:25.680] Well, he was in blood.
[00:50:25.680 --> 00:50:27.920] Yeah, they only identified retrospectives.
[00:50:29.040 --> 00:50:30.080] 1959.
[00:50:30.800 --> 00:50:32.080] Yeah, that's when they discovered it.
[00:50:32.400 --> 00:50:32.960] Way earlier than that.
[00:50:34.080 --> 00:50:38.560] There was blood from a patient in 1959 that when they looked at said, this guy had HIV.
[00:50:38.560 --> 00:50:40.800] Yeah, so it was probably even earlier than that.
[00:50:41.040 --> 00:50:45.120] It crossed over probably from the chimpanzee to humans sometimes in the 1930s.
[00:50:45.120 --> 00:50:47.120] Yeah, that's what I thought in the 30s.
[00:50:47.120 --> 00:50:47.520] Yeah.
[00:50:47.840 --> 00:50:52.720] And you think about it, that is a spillover event, but it's a very, very small spillover event.
[00:50:53.040 --> 00:50:56.720] The truth of the matter is, HIV could be eradicated.
[00:50:56.720 --> 00:50:57.040] It could.
[00:50:57.280 --> 00:50:58.880] Well, yeah, isn't that kind of the bottom line?
[00:50:58.960 --> 00:51:02.840] Yeah, I don't know if it would technically be eradicated with an animal reservoir.
[00:50:59.840 --> 00:51:03.800] I think it would.
[00:51:04.120 --> 00:51:07.960] Yes, but it would be close to the spillover events are very, very rare.
[00:51:08.280 --> 00:51:09.240] But it's very rare.
[00:51:09.240 --> 00:51:12.520] It would be eliminated with very rare potential for spillover events.
[00:51:12.520 --> 00:51:14.680] Oh, basically, practically eradicated.
[00:51:14.680 --> 00:51:15.160] I agree.
[00:51:15.160 --> 00:51:16.680] And this is the kind of thing they can do.
[00:51:16.760 --> 00:51:27.000] But the point I was getting to is that we were hit with this new virus that completely transformed the infectious disease subspecialty, by the way.
[00:51:27.160 --> 00:51:30.040] Had a massive effect on medicine in general.
[00:51:30.040 --> 00:51:31.400] I was in med school in the 80s.
[00:51:31.560 --> 00:51:34.040] It was a massive effect of HIV.
[00:51:34.040 --> 00:51:35.480] Oh, absolutely.
[00:51:35.480 --> 00:52:01.080] Here we are, 30 years later, you know, it's basically a manageable chronic illness, and now we have effective preventive treatment and 100% effective new treatment that we could potentially be rolling out based upon good old-fashioned reductionist science, understanding how that little bugger works, interfering with its, you know, the basic science, understanding of how it replicates and how it operates in the body, et cetera, et cetera.
[00:52:01.400 --> 00:52:02.120] Homeopaths need to be.
[00:52:02.360 --> 00:52:26.760] Meanwhile, over this same period of time, going all the way back to the 80s, there were conspiracy theories about HIV, tremendous alternative medicine treatments, either herbalism or homeopathy or whatever, denialism about whether or not it even exists, et cetera, all amounted to absolute nothing, a big steaming pile of CRAPOLA.
[00:52:26.760 --> 00:52:33.720] All of the pseudoscience, conspiracy theories, alternative treatments have not saved a single person.
[00:52:33.720 --> 00:52:41.880] They have arguably killed a lot of people by distracting them from a good old-fashioned science, right?
[00:52:42.200 --> 00:52:49.760] Which is basically curing this disease and preventing it and could lead to its functional eradication.
[00:52:44.520 --> 00:52:51.760] And we cannot lose that narrative.
[00:52:51.920 --> 00:52:56.000] That narrative is so critical because we see it over and over again.
[00:52:56.000 --> 00:53:02.720] And this is a disease, I think, when we think about the scale of this disease, it sometimes gets lost because of how far we've come.
[00:53:02.720 --> 00:53:03.520] Yeah, right.
[00:53:03.520 --> 00:53:12.720] This is, by many metrics, the third most devastating epidemic or pandemic ever.
[00:53:12.720 --> 00:53:13.200] Yeah.
[00:53:13.200 --> 00:53:14.160] In all of history.
[00:53:14.160 --> 00:53:14.480] Yeah.
[00:53:14.480 --> 00:53:14.720] Wow.
[00:53:14.720 --> 00:53:15.600] It's massive.
[00:53:15.600 --> 00:53:16.080] Yes.
[00:53:16.080 --> 00:53:20.160] I know it's hard to see it on a long enough time scale to recognize it for what it is.
[00:53:20.160 --> 00:53:22.720] But yeah, lots of death and all over the world.
[00:53:22.720 --> 00:53:24.720] Very few pandemics were worldwide.
[00:53:24.720 --> 00:53:28.560] Actually, I think HIV, AIDS, and COVID have been the.
[00:53:28.720 --> 00:53:30.480] Maybe there's one other ones.
[00:53:30.480 --> 00:53:31.520] I'm sure the flu.
[00:53:31.840 --> 00:53:32.720] Fully worldwide.
[00:53:32.720 --> 00:53:35.120] There's a cholera pandemic worldwide.
[00:53:35.120 --> 00:53:38.000] A couple influenzas, yeah, that spread across the world.
[00:53:38.000 --> 00:53:39.840] But most of them aren't.
[00:53:39.840 --> 00:53:42.720] Most of them have limits on how far they were able to spread.
[00:53:42.720 --> 00:53:45.360] Do you have to be worldwide to be technically a pandemic?
[00:53:45.360 --> 00:53:46.080] No, you don't.
[00:53:46.080 --> 00:53:50.800] Aren't you just there's outbreak in the amount of countries, though?
[00:53:50.800 --> 00:53:51.920] And then pandemic.
[00:53:51.920 --> 00:53:54.640] I don't think pandemic has to be fully worldwide, though, does it?
[00:53:54.640 --> 00:53:55.120] Let's see.
[00:53:55.120 --> 00:53:55.840] Technical definition.
[00:53:55.920 --> 00:54:05.520] I think there's a minimum of that be because countries have to cover every single country, but it has to be probably widespread over a whole country or the world.
[00:54:06.080 --> 00:54:06.880] But that's awesome.
[00:54:08.000 --> 00:54:10.320] It spreads across countries or continents.
[00:54:10.320 --> 00:54:12.880] Yeah, I think it's kind of a vague continents.
[00:54:12.880 --> 00:54:13.840] Yeah, it's kind of always how I talk about it.
[00:54:14.080 --> 00:54:16.400] Look at the board game pandemic and see where it goes.
[00:54:16.560 --> 00:54:18.720] Yeah, I think it does have to cross international borders.
[00:54:18.720 --> 00:54:20.400] You'll learn real fast about those.
[00:54:20.400 --> 00:54:22.160] Anyway, yay, science.
[00:54:22.800 --> 00:54:24.320] Yeah, good stuff.
[00:54:24.320 --> 00:54:28.480] Eczema isn't always obvious, but it's real.
[00:54:28.480 --> 00:54:31.000] And so is the relief from Ebglis.
[00:54:31.400 --> 00:54:38.200] After an initial dosing phase, about four in ten people taking EBGLIS achieved itch relief and clear or almost clear skin at 16 weeks.
[00:54:38.200 --> 00:54:42.440] And most of those people maintain skin that's still more clear at one year with monthly dosing.
[00:54:42.440 --> 00:54:53.960] EBGLIS Librachizumap LBKZ, a 250 milligram per 2 milliliter injection, is a prescription medicine used to treat adults and children 12 years of age and older who weigh at least 88 pounds or 40 kilograms with moderate to severe eczema.
[00:54:53.960 --> 00:55:00.280] Also called atopic dermatitis that is not well controlled with prescription therapies used on the skin or topicals or who cannot use topical therapies.
[00:55:00.280 --> 00:55:03.160] EBGLIS can be used with or without topical corticosteroids.
[00:55:03.160 --> 00:55:04.920] Don't use if you're allergic to EBGLIS.
[00:55:04.920 --> 00:55:06.920] Allergic reactions can occur that can be severe.
[00:55:06.920 --> 00:55:07.960] Eye problems can occur.
[00:55:07.960 --> 00:55:10.280] Tell your doctor if you have new or worsening eye problems.
[00:55:10.280 --> 00:55:12.840] You should not receive a live vaccine when treated with EBGLIS.
[00:55:12.840 --> 00:55:15.960] Before starting EBGLIS, tell your doctor if you have a parasitic infection.
[00:55:15.960 --> 00:55:17.080] Searching for real relief?
[00:55:17.080 --> 00:55:24.280] Ask your doctor about EBGLIS and visit ebglis.lily.com or call 1-800-LILLIERX or 1-800-545-5979.
[00:55:24.600 --> 00:55:29.000] You probably think it's too soon to join AARP, right?
[00:55:29.000 --> 00:55:31.320] Well, let's take a minute to talk about it.
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[00:55:34.040 --> 00:55:38.440] More specifically, your career, your health, your social life.
[00:55:38.440 --> 00:55:41.160] What are you doing now to help you get there?
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[00:55:57.480 --> 00:56:02.520] AARP has health tips and wellness tools to keep you moving for years to come.
[00:56:02.520 --> 00:56:06.520] But none of these experiences are without making friends along the way.
[00:56:06.520 --> 00:56:10.440] Connect with your community through AARP volunteer events.
[00:56:10.440 --> 00:56:14.800] So it's safe to say it's never too soon to join AARP.
[00:56:14.520 --> 00:56:18.720] They're here to help your money, health, and happiness live as long as you do.
[00:56:19.040 --> 00:56:23.280] That's why the younger you are, the more you need AARP.
[00:56:23.280 --> 00:56:27.520] Learn more at AARP.org/slash wise friend.
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[00:56:57.520 --> 00:57:00.960] All right, Kara, tell us about this COVID protection gene.
[00:57:00.960 --> 00:57:01.680] What is that?
[00:57:01.680 --> 00:57:10.800] Okay, so there's a really interesting article that was published last, yes, last month in Nature called Human SARS Cove 2.
[00:57:10.800 --> 00:57:12.960] Remember, that's the name of the virus.
[00:57:13.200 --> 00:57:15.280] Yeah, Human SARS Cove 2 challenges.
[00:57:15.440 --> 00:57:18.240] I thought that was going to be such a big name and everyone was going to use it.
[00:57:18.240 --> 00:57:18.720] Nobody.
[00:57:18.720 --> 00:57:19.600] It's only in the literature.
[00:57:19.600 --> 00:57:20.800] Yeah, we're all like COVID.
[00:57:20.800 --> 00:57:22.320] Had COVID, COVID pandemic.
[00:57:22.320 --> 00:57:23.040] During COVID.
[00:57:23.040 --> 00:57:25.680] It's like refers to so many, it's a time span now.
[00:57:26.000 --> 00:57:27.280] It's the virus itself.
[00:57:27.280 --> 00:57:28.160] It's the infection.
[00:57:28.320 --> 00:57:36.000] But anyway, Human SARS CoV Cov2 challenge uncovers local and systemic response dynamics.
[00:57:36.000 --> 00:57:37.360] Okay, what does that mean?
[00:57:37.360 --> 00:57:53.040] Well, there was an interesting study that there's an interesting study that was by British researchers who did what's called a challenge trial, which we don't often hear about because the ethics can sometimes be murky.
[00:57:53.040 --> 00:57:57.200] But it's a situation in which people are intentionally infected.
[00:57:57.200 --> 00:57:57.840] Oh boy.
[00:57:57.840 --> 00:58:01.080] So, this was at the height of the pandemic, it was in 2021.
[00:57:59.920 --> 00:58:05.160] I think vaccines were available.
[00:58:05.480 --> 00:58:09.800] I'd actually have to look at the exact date of when they started collecting data.
[00:58:09.800 --> 00:58:22.200] I'm not sure if vaccines were available, but the individuals that they volunteered for this research were unvaccinated, they were young, they were otherwise healthy.
[00:58:22.200 --> 00:58:43.160] And this was a study with 36 people where they put a very small dose of the virus in their nose, and then the hope was that they could learn a lot about the way that the virus spread the early cellular responses, the immune response, you know, what is going on.
[00:58:43.160 --> 00:58:47.240] They called it the dynamics of the early cellular responses.
[00:58:47.240 --> 00:58:54.440] So, they put the virus in everybody's nose, these 36 people's nose, and then they pick 16 of those people.
[00:58:54.440 --> 00:58:59.080] So, they look at a bunch of data across all 36 of those people for their study.
[00:58:59.080 --> 00:58:59.880] It's really interesting.
[00:58:59.880 --> 00:59:01.880] Oh my gosh, look at all this cool stuff that's happening.
[00:59:01.880 --> 00:59:11.800] We've got this, you know, great information that we can now use to try and understand how this virus replicates in the body, how people get sick, what happens in their bodies.
[00:59:11.800 --> 00:59:16.280] They take 16 of those people and they go, We're going to do like further analysis with them.
[00:59:16.280 --> 00:59:22.680] We want to kind of dig even deeper, and this analysis takes a lot of time and money, and so we're going to like drill down with 16 of them.
[00:59:22.680 --> 00:59:27.800] And they take these 16 people and they start to look and see what happens.
[00:59:27.800 --> 00:59:30.360] And something kind of strange took place.
[00:59:30.360 --> 00:59:36.120] And at first, they were actually kind of mad because they were like, shoot, this like ruins our study.
[00:59:36.120 --> 00:59:44.120] But only six of those 16 people actually got sick, even though they put COVID in their nose.
[00:59:44.120 --> 00:59:53.680] And they were like, huh, now we can't even figure out what's going on with their immune system because, you know, they're not getting sick.
[00:59:53.680 --> 00:59:57.120] But then later they realized: wait, this is probably actually really helpful.
[00:59:57.120 --> 01:00:03.840] It's probably really important why these people aren't getting sick and how these people aren't getting sick.
[01:00:03.840 --> 01:00:07.600] And so they decided to dig a little bit deeper.
[01:00:07.920 --> 01:00:19.840] And they realized that of those people who didn't get sick, that was 10 people, of those 10 people, they fell into two different categories.
[01:00:20.160 --> 01:00:25.520] Seven of the 10 never tested positive for the virus at all.
[01:00:25.520 --> 01:00:30.960] They just didn't, they didn't feel sick and they also never showed that they had the virus.
[01:00:30.960 --> 01:00:38.160] Three of them didn't really feel sick, but they did show a transient infection.
[01:00:38.160 --> 01:00:39.760] So, you know, and we've heard about this.
[01:00:40.080 --> 01:00:50.800] If you remember all the stuff that we were trying to keep track of early in sort of the COVID timeline, and it was like, even if you test positive, you might be a carrier, or even if you don't feel sick, you might still test positive.
[01:00:50.800 --> 01:00:51.440] So, yeah.
[01:00:51.440 --> 01:00:53.120] So, three of them were like that.
[01:00:53.120 --> 01:00:56.480] Seven of them never even got sick, never tested positive.
[01:00:56.720 --> 01:01:04.640] And they did find that there were some subtle changes in some of the immune responses between those two groups.
[01:01:04.640 --> 01:01:15.200] But what was really interesting is that there was a big similarity across all of the people in the non-sick group.
[01:01:15.200 --> 01:01:25.280] They found that those individuals had a very particular gene that was showing elevated activity.
[01:01:25.280 --> 01:01:28.720] It was the HLA-DQA2 gene.
[01:01:28.720 --> 01:01:33.880] And these are specialized immune cells that had actually been studied previously, but not much.
[01:01:29.760 --> 01:01:35.880] They didn't really understand what the gene did.
[01:01:37.000 --> 01:01:45.320] Some studies previously had hypothesized that it was linked to milder outcomes from viral infection, but they weren't really sure.
[01:01:45.320 --> 01:01:52.280] They also found a couple other kinds of interesting things that, like, okay, there's this response.
[01:01:52.600 --> 01:01:58.440] It's an immune reaction that is called an interferon response.
[01:01:58.440 --> 01:02:16.200] And they found that in the people who were only transiently infected, the ones who, you know, caught the virus and never really got sick, and the virus went away really fast, they had an interferon response that showed up in their nose.
[01:02:16.200 --> 01:02:19.080] They were able to swab for it and see it.
[01:02:19.080 --> 01:02:21.640] People, and it came like within a day.
[01:02:21.640 --> 01:02:27.800] People who got sick, it took them five days for that response to show up in their nose.
[01:02:27.800 --> 01:02:44.920] So something about that time gap led the researchers to believe that those who don't have this gene variant, their bodies give the virus time to spread and to, you know, divide, whereas, to proliferate.
[01:02:44.920 --> 01:02:57.240] Whereas, if there's really fast activity, local activity, at the site of the infection, that could have prevented the transiently infected individuals from ever getting sick in the first place.
[01:02:57.240 --> 01:03:09.880] Weirdly, in the sick participants, they actually showed the interferon activity in blood samples before they ever saw it in their nose, which is super weird because they gave them the virus in their nose.
[01:03:10.200 --> 01:03:17.840] So there was definitely a delayed immune response, which it seems like it's pretty typical of the population with COVID.
[01:03:17.840 --> 01:03:26.960] Whereas in these groups that either didn't get sick but tested positive, they had a really fast interferon reaction only in the nose.
[01:03:26.960 --> 01:03:36.800] And for the individuals who never tested positive at all, both of those groups had elevated activity of this specific gene, HLADQA2.
[01:03:36.800 --> 01:04:08.160] So, you know, the researchers are saying, of course, we've learned a lot since then, but having looked at all of this data and recognizing that this particular gene has probably an important function in immune response, not only is it pretty lucky for these folks with regards to COVID-19, but it could also open up, I think, a lot of research into this kind of genotyping for other infections as well.
[01:04:08.160 --> 01:04:16.480] So I don't know, maybe in the future we will have, you know, we'll be genotyped and we'll see: am I more resistant to these types of infections?
[01:04:16.480 --> 01:04:33.760] Do I have this type of immune capability that will allow me to kind of know that in advance versus those who don't have this variant and are much more likely to get infected?
[01:04:33.920 --> 01:04:38.400] It is fascinating to think, and I'm sure that you all know somebody like this too.
[01:04:38.400 --> 01:04:40.720] Like, I've had COVID once that I know of.
[01:04:41.280 --> 01:04:42.400] How about you all?
[01:04:42.720 --> 01:04:43.600] I had it one time.
[01:04:44.240 --> 01:04:46.960] It took a few years for me to get it.
[01:04:46.960 --> 01:04:48.160] Yeah, it took a few years for me to.
[01:04:48.160 --> 01:04:49.680] I only got it for the first time last year.
[01:04:50.000 --> 01:04:51.520] You didn't get it until 2023.
[01:04:51.920 --> 01:04:52.400] Florida, right?
[01:04:52.560 --> 01:04:54.080] When you came back from Florida?
[01:04:54.560 --> 01:04:55.600] No, I got it on a flight.
[01:04:55.760 --> 01:04:57.200] Oh, you got it on a flight back from Florida.
[01:04:57.280 --> 01:04:58.800] Oh, yeah, Bob, you were after me.
[01:04:58.800 --> 01:05:00.760] You got it on a flight back from Disney World.
[01:05:01.320 --> 01:05:06.440] I think I'm, I think I'm the day after we got home, so it might have been, you know, might have been at Disney World.
[01:05:00.000 --> 01:05:07.320] Might have been at Disney World.
[01:05:07.400 --> 01:05:08.040] We were in crowds.
[01:05:08.040 --> 01:05:09.160] We were in some big crowds.
[01:05:09.160 --> 01:05:10.520] So, yeah, it could have been then.
[01:05:10.840 --> 01:05:14.280] And I got it on a flight home from Jordan just a few months before that.
[01:05:14.280 --> 01:05:16.520] And I got it on a flight home from Italy.
[01:05:16.520 --> 01:05:17.320] Nice.
[01:05:17.640 --> 01:05:19.240] And I don't know how I got it.
[01:05:19.240 --> 01:05:21.400] Jay, how many times that you know of have you had it?
[01:05:21.400 --> 01:05:22.920] I mean, I think I only had it once.
[01:05:22.920 --> 01:05:25.800] It's possible I had it a second time very late.
[01:05:27.560 --> 01:05:31.560] You know, I was testing, but I definitely had it once really bad.
[01:05:31.560 --> 01:05:31.960] Yeah.
[01:05:31.960 --> 01:05:32.680] And Evan?
[01:05:32.680 --> 01:05:36.520] One time for me, one positive confirmed test for me.
[01:05:36.520 --> 01:05:37.240] Yeah, yeah.
[01:05:37.560 --> 01:05:41.560] So, and we've all known people who have had it like five times.
[01:05:41.560 --> 01:05:51.640] And we all know people, maybe at this point, it's harder to know somebody who either claim or who have, I think, a good, a good story that they haven't had COVID.
[01:05:51.640 --> 01:05:56.040] And it's really interesting to say, what, what is different about these individuals?
[01:05:56.040 --> 01:06:01.400] This study inadvertently asked that question and was able to partially answer that question.
[01:06:01.400 --> 01:06:12.040] And part of the reason that this study was so incredibly valuable, because this happened in 2021, is that when they try to do challenge studies now, they have a hard time infecting people.
[01:06:12.040 --> 01:06:12.520] Yeah.
[01:06:13.080 --> 01:06:15.160] Because so many people have immunity.
[01:06:15.160 --> 01:06:15.480] Right.
[01:06:15.800 --> 01:06:18.920] Which is probably why we've only had it the one time.
[01:06:19.640 --> 01:06:20.280] Couldn't you induce that?
[01:06:20.360 --> 01:06:21.560] Yeah, plus all those vaccines.
[01:06:21.560 --> 01:06:23.400] I mean, I think that's what I'm saying.
[01:06:23.400 --> 01:06:24.280] That's the immunity.
[01:06:24.280 --> 01:06:27.960] So it's either exposure to wild type or it's vaccine immunity.
[01:06:27.960 --> 01:06:28.680] Or both.
[01:06:28.680 --> 01:06:30.120] But yeah, it's both.
[01:06:30.840 --> 01:06:34.280] And together, like people that have had both is the super immunity, right?
[01:06:34.280 --> 01:06:34.520] Totally.
[01:06:34.680 --> 01:06:35.800] For a while, anyway.
[01:06:35.800 --> 01:06:39.480] And most of the globe has some amount of immunity against COVID at this point.
[01:06:39.480 --> 01:06:41.960] So it's harder for them to do these kinds of trials.
[01:06:41.960 --> 01:06:50.320] But back then, when our immune systems were naive, they were able to successfully infect these test participants.
[01:06:50.560 --> 01:06:54.960] And they were really surprised when some people were like, just, yeah, I didn't get sick.
[01:06:54.960 --> 01:06:57.440] Can we induce that gene variant?
[01:06:57.440 --> 01:07:02.640] Can we use CRISPR or something to give it to people so they're superhuman like us?
[01:07:02.640 --> 01:07:03.520] Like us.
[01:07:03.520 --> 01:07:07.440] We probably don't have it, but I assume at least I have it.
[01:07:10.000 --> 01:07:13.440] By the time we both got infected, we were so vaccinated.
[01:07:13.440 --> 01:07:14.160] Bob already bought it.
[01:07:14.800 --> 01:07:15.600] Yeah, I was the last.
[01:07:15.600 --> 01:07:18.640] That was the last of the extended family.
[01:07:18.640 --> 01:07:27.280] But can we use CRISPR to, or that, or that other new technique to I mean, I think that's a pretty open question, right?
[01:07:27.520 --> 01:07:28.640] What can CRISPR do?
[01:07:28.640 --> 01:07:29.440] What can't CRISPR do?
[01:07:29.840 --> 01:07:33.440] It's easier to do it in embryos than in adults.
[01:07:34.320 --> 01:07:42.240] But the HLA typing is for a long time, you know, that's old news, right?
[01:07:42.240 --> 01:07:51.600] That has a massive effect on risk factors that deal with the immune system, like your risk of getting autoimmune diseases, for example.
[01:07:51.600 --> 01:07:55.680] Oh, so they're typing for very strongly with HLA, with certain HLA typing.
[01:07:56.640 --> 01:07:58.560] So they're typing for the opposite direction.
[01:07:58.560 --> 01:07:58.720] Yeah.
[01:07:58.960 --> 01:08:00.480] Looking for lowered expression.
[01:08:01.280 --> 01:08:07.120] But also, anything to do with immune function, there's an HLA association with it, basically.
[01:08:07.440 --> 01:08:15.040] And so, yeah, this is just one more piece to that puzzle of identifying an HLA type.
[01:08:15.120 --> 01:08:17.600] Yeah, that confers some good immunity.
[01:08:17.600 --> 01:08:23.520] But I wonder if it also conveys a higher risk of certain autoimmune diseases.
[01:08:23.520 --> 01:08:27.120] Because, you know, evolution is all about optimizing trade-offs.
[01:08:27.680 --> 01:08:29.720] We always talk about cancer versus aging.
[01:08:30.040 --> 01:08:30.440] Yeah.
[01:08:29.200 --> 01:08:34.840] So I wonder if like fighting infection versus autoimmune diseases is another kind of trade-off.
[01:08:35.160 --> 01:08:42.360] But sometimes evolution also hits upon just straight up superior, superior genetic superior proteins, whatever.
[01:08:42.360 --> 01:08:45.320] So some people just do have better immune systems than others.
[01:08:45.960 --> 01:08:46.440] Yeah, right.
[01:08:46.440 --> 01:08:58.600] And they still don't know why among the people who had elevated HLA DQA2, did some of them have a transient infection and some of them not get sick at all when they had the exact same exposure.
[01:08:58.920 --> 01:09:02.280] So clearly it's not the whole picture, but it's part of the picture.
[01:09:02.280 --> 01:09:02.760] Yeah.
[01:09:03.080 --> 01:09:04.040] Cool.
[01:09:04.760 --> 01:09:08.600] All right, Bob, I don't know what nuclear pasta is, but I want some.
[01:09:08.600 --> 01:09:10.840] Oh my God, this is pretty awesome.
[01:09:10.920 --> 01:09:15.000] You can get it at Olive Garden with nuclear breadsticks.
[01:09:15.320 --> 01:09:23.720] So scientists have filled in some of the fascinating details of the exotic types of matter in the crust of neutron stars.
[01:09:23.720 --> 01:09:35.480] They have shown the likely existence of a phenomenon called proton drip that exists alongside neutron drip and my favorite exotic matter in the universe, nuclear pasta.
[01:09:35.480 --> 01:09:44.440] The researchers at the Department of Physics at TU, Domstadt, and the Niels Bohr Institute in Copenhagen, these findings are reported in the physical review letters.
[01:09:44.760 --> 01:09:50.280] The study's title is Neutron Star Matter as a Dilute Solution of Protons in Neutrons.
[01:09:50.280 --> 01:09:53.560] So yes, I will now be talking about nuclear pasta.
[01:09:53.560 --> 01:09:59.640] When I read those words, I immediately knew I will be talking about this on the show, and I just devoured it.
[01:09:59.640 --> 01:10:02.520] So this is just ultimately, at its most basic level.
[01:10:02.520 --> 01:10:08.360] It's another amazing chapter about the most fascinating objects in the universe, neutron stars.
[01:10:08.680 --> 01:10:22.960] When giant stars explode their outer layers and collapse their cores, if the core's mass is above what's called the Tolman-Oppenheimer-Volkov limit, two to three solar masses, then nothing known can stop the collapse, and we have a black hole.
[01:10:22.960 --> 01:10:33.840] Now, I say nothing known because there's some kind of fringe theories out there that and some hope that there's a pit stop before black holes, and some collapsing masses might create a quark star.
[01:10:33.840 --> 01:10:35.280] So, that's all I'll say on that.
[01:10:35.280 --> 01:10:37.600] Look it up, fascinating possibility.
[01:10:37.600 --> 01:10:49.920] So, okay, if that final core mass is below the Tolman-Oppenheimer-Volkov limit, then we have a wonderful city-sized neutron star with a mass of about two suns squeezed inside.
[01:10:49.920 --> 01:10:59.440] Now, to call this simply a ball of neutrons, it's not inaccurate, but it's like calling Jay's meatballs just spheres of mostly protein and lipids.
[01:11:00.160 --> 01:11:02.480] It doesn't quite do it justice at all.
[01:11:03.120 --> 01:11:18.640] So, yes, neutron stars are mostly neutrons, but we believe that there are layers of exotic degenerate matter in there that are different depending on how far below the crust they are, what forces are prominent, how much gravity, how much pressure, and lots of other factors as well.
[01:11:18.640 --> 01:11:20.400] So, lots of different layers.
[01:11:20.400 --> 01:11:29.600] Now, the surface layer of a neutron star, maybe you didn't know this, is only a millimeter thick, and it actually has regular atoms on it, like helium and iron.
[01:11:30.560 --> 01:11:33.120] I remember, I mean, I've known that for a few years.
[01:11:33.120 --> 01:11:38.720] I just didn't think there were anything really any normal elements in a neutron star, but there are on the surface.
[01:11:38.720 --> 01:11:47.200] The gravity and pressure on the surface is nasty, of course, but it's not enough to overcome the structural integrity that atoms have that are there.
[01:11:47.200 --> 01:11:48.160] So, why do you think?
[01:11:48.160 --> 01:11:48.640] What do you think?
[01:11:48.640 --> 01:11:54.080] What is it about the structural integrity of the atoms that prevents them from changing dramatically?
[01:11:54.400 --> 01:11:56.240] It's one answer, and there's multiple.
[01:11:56.320 --> 01:11:58.960] The one answer is the electrostatic repulsion, right?
[01:11:58.960 --> 01:12:00.520] Cologne repulsion.
[01:12:00.920 --> 01:12:03.400] I luck that you knew we weren't actually going to answer that question.
[01:12:06.600 --> 01:12:08.040] Not even give us a second to try.
[01:12:08.360 --> 01:12:09.080] I planned it.
[01:12:09.080 --> 01:12:14.120] I planned on using it, and I got a couple more questions, but that was the easiest one, but I just didn't feel like waiting.
[01:12:14.120 --> 01:12:20.200] So, the electrostatic repulsion, that's like charges repelling each other, right?
[01:12:20.200 --> 01:12:27.640] So, positive protons, for example, they can't get too close together, they can't get too close to each other because of this electrostatic repulsion.
[01:12:27.640 --> 01:12:31.400] They just don't want to get too close, unless, of course, you apply enough force.
[01:12:31.400 --> 01:12:42.120] So, a little deeper into the crust, though, and the forces and the pressures have ramped up enough to create a phenomenon that they're very confident about called neutron drip.
[01:12:42.360 --> 01:12:47.160] This they've known about for a while, and they seem like, yeah, yeah, it exists.
[01:12:47.720 --> 01:12:48.520] That was my take.
[01:12:48.520 --> 01:12:57.640] So, a neutron drip, now it's not a type of old-fashioned coffee, although if it were Jay, I'm sure Jay is thinking that if it really were coffee, it'd be better than current coffee.
[01:12:57.640 --> 01:13:08.920] But no, a neutron drip happens when neutrons experience two things at the same time: the intense gravity that's down there, plus the repulsion of the strong force, which doesn't like it when neutrons get that close.
[01:13:08.920 --> 01:13:21.000] So, these forces are battling out at that level, and that force battle allows the neutrons to essentially leave the nucleus and become independent and stable.
[01:13:21.480 --> 01:13:33.640] And if you think about it, or if you're familiar with neutrons a little bit, that's amazing because neutrons are not, are surprisingly, not known to be hanging out by themselves.
[01:13:34.040 --> 01:13:36.120] If you see one, it's in a nucleus.
[01:13:36.120 --> 01:13:38.440] It's kind of like quarks in that sense.
[01:13:38.440 --> 01:13:47.760] And it's amazing because if you did take a neutron out from a normal nucleus of an atom, it would decay in about, on average, in 14 minutes.
[01:13:48.080 --> 01:13:56.320] So the only thing keeping a neutron stable and lasting indefinitely, essentially, is because it's in a nucleus.
[01:13:56.320 --> 01:14:16.400] Or apparently, if you have it within the crust of a neutron star and the pressures are so intense that it can actually, the pressures and the other forces are so intense that the neutron star can leave the nucleus, the neutron drip, as they call it, then it can be stable and it can be independent and it can last indefinitely.
[01:14:16.400 --> 01:14:23.840] So that's kind of like the only way a neutron star can be independent is to be within these certain layers of a neutron star crust.
[01:14:23.840 --> 01:14:26.720] Okay, so now we've got the neutron drip area.
[01:14:26.720 --> 01:14:30.640] If you go a little bit deeper in the crust, now that's where the magic happens.
[01:14:30.640 --> 01:14:33.440] That's where we have nuclear pasta.
[01:14:33.440 --> 01:14:35.200] And I'm just not joking about any of this.
[01:14:35.200 --> 01:14:36.400] This is legit.
[01:14:36.640 --> 01:14:40.000] And this has nothing to do with spaghettification near a black hole.
[01:14:40.000 --> 01:14:41.600] Nothing to do with spaghettification.
[01:14:41.600 --> 01:14:43.200] This is nuclear pasta.
[01:14:43.200 --> 01:14:44.800] That's another good book title.
[01:14:44.800 --> 01:14:47.920] Nuclear Pasta Has Nothing to Do with Spaghettification.
[01:14:47.920 --> 01:14:48.960] Yeah, love it.
[01:14:48.960 --> 01:14:50.720] It's also a good band name.
[01:14:51.040 --> 01:14:59.600] All right, so a nuclear pasta, like the neutron drip, it arises when there's a special balance of forces acting on the neutrons and the protons.
[01:14:59.840 --> 01:15:03.600] There's this strong force trying to keep neutrons and protons close, right?
[01:15:03.600 --> 01:15:09.120] That's what one of the things that the strong force or the residual strong force, what it really is, that's what it does.
[01:15:10.160 --> 01:15:12.800] If you get close enough, bam, you are locked in.
[01:15:12.800 --> 01:15:14.160] Super strong force.
[01:15:14.160 --> 01:15:21.000] But then there's also the electrostatic force called the Coulomb force, which I just mentioned above, that's trying to keep the like charges apart.
[01:15:20.800 --> 01:15:21.360] Okay, okay?
[01:15:21.360 --> 01:15:28.720] So this other competition that's happening creates distorted shapes within the neutrons and the proton.
[01:15:28.720 --> 01:15:33.160] It distorts them into stable shapes for this nuclear matter.
[01:15:29.600 --> 01:15:36.680] So it will hang out, it will last, and they are stable.
[01:15:37.000 --> 01:15:46.360] So the first shapes that are created, as you're going down, going down into the crust, the first shapes created are semispherical collections of hundreds of neutrons and protons.
[01:15:46.360 --> 01:15:47.640] What do you think they call that?
[01:15:47.640 --> 01:15:50.760] You got it's semi-spherical, not a meatball.
[01:15:50.760 --> 01:15:52.200] You might think maybe a meatball.
[01:15:52.200 --> 01:15:53.160] Not a meatball.
[01:15:53.160 --> 01:15:55.080] They call that gnocchi.
[01:15:55.080 --> 01:15:59.560] Kind of like an Italian dumpling, if you want to look at it that way.
[01:15:59.960 --> 01:16:01.720] Gnockey is called potato.
[01:16:01.720 --> 01:16:02.440] Huh?
[01:16:02.760 --> 01:16:04.840] Gnocchi is made out of potato.
[01:16:04.840 --> 01:16:09.800] It's still considered part of nuclear pasta, and I don't want to hear any guff from you.
[01:16:09.800 --> 01:16:16.760] So I love the scientists that just, that this naming convention, if you're not, if it's not obvious, I just love this so much.
[01:16:16.760 --> 01:16:18.760] All right, you go a little deeper into the crust.
[01:16:19.000 --> 01:16:25.080] The gnocchi are crushed together into groups of thousands of nucleons, creating these long rods.
[01:16:25.080 --> 01:16:28.200] What phase of nuclear matter is that?
[01:16:28.200 --> 01:16:29.560] It's the spaghetti.
[01:16:29.560 --> 01:16:30.680] It's spaghetti.
[01:16:30.680 --> 01:16:33.720] Long rods of nuclear pasta.
[01:16:33.720 --> 01:16:35.400] Of course, you're going to call that spaghetti.
[01:16:35.400 --> 01:16:39.320] That's the spaghetti phase of nuclear degenerate matter.
[01:16:39.320 --> 01:16:47.080] Okay, you go deeper down, and then the forces get even stronger and stronger, and then these rods are fused together to form sheets.
[01:16:47.080 --> 01:16:47.960] You got sheets.
[01:16:47.960 --> 01:16:49.080] Now, what phase is that?
[01:16:49.400 --> 01:16:49.880] Lasagna.
[01:16:50.040 --> 01:16:50.200] Yes.
[01:16:50.440 --> 01:16:50.920] All right.
[01:16:50.920 --> 01:16:53.240] The non-Italian lasagna.
[01:16:53.240 --> 01:16:54.120] Thank you, Evan.
[01:16:54.120 --> 01:16:55.480] So that's a lasagna phase.
[01:16:55.480 --> 01:16:58.520] And it's so nice to see lasagna pasta represented here.
[01:16:58.520 --> 01:16:59.480] It made me very happy.
[01:16:59.480 --> 01:17:03.080] Usually they don't go with the lasagna connection.
[01:17:03.080 --> 01:17:07.240] All right, a little deeper, a little deeper, and there's another phase of nuclear matter.
[01:17:07.240 --> 01:17:10.120] And this looks like spaghetti, but it's not.
[01:17:10.120 --> 01:17:12.280] There's a hole running down the center of it.
[01:17:12.360 --> 01:17:15.440] And this is, I wasn't even really aware of this.
[01:17:15.760 --> 01:17:16.160] What?
[01:17:16.160 --> 01:17:17.440] Buccatini.
[01:17:14.440 --> 01:17:18.880] Wow, Steve, nice.
[01:17:19.520 --> 01:17:24.320] I wasn't familiar with Buccatini, but it looks like spaghetti.
[01:17:24.320 --> 01:17:26.400] Long and skinny, but there's a hole down the center.
[01:17:26.400 --> 01:17:30.160] And it's also in the crust of neutron stars.
[01:17:30.160 --> 01:17:33.360] Now, apparently, Buccatini is found around Rome.
[01:17:33.360 --> 01:17:39.840] And I'm going to be there in September, and I'm determined to get some so I could talk about nuclear pasta to the native Italians.
[01:17:39.840 --> 01:17:47.120] So I'm trying to learn how to say degenerate nuclear matter and pasta and nuclear pasta in Italian.
[01:17:47.120 --> 01:17:47.840] And I think I got it.
[01:17:47.840 --> 01:17:51.440] Materia, nuclear, degenerata, and pasta, nucleate.
[01:17:51.440 --> 01:17:52.560] So I think I'm good.
[01:17:52.560 --> 01:17:52.880] All right.
[01:17:52.880 --> 01:17:55.200] So the nuclear pasta is tough stuff.
[01:17:55.200 --> 01:17:56.240] Steve, you're going to like this.
[01:17:56.240 --> 01:18:01.600] Some researchers claim that the strongest known material in the universe is nuclear pasta.
[01:18:01.920 --> 01:18:04.640] One measurement, and Steve, you've heard of this, I'm sure.
[01:18:04.880 --> 01:18:10.800] One way to measure a material's strength, and there's lots of different types of strength, is shear modulus, right?
[01:18:11.280 --> 01:18:15.840] That measures the resistance to deformation, specifically shear deformation.
[01:18:15.840 --> 01:18:19.200] Okay, that's just one way to measure the toughness of a material.
[01:18:19.200 --> 01:18:20.240] And it's an important one.
[01:18:20.240 --> 01:18:23.920] Now, diamond probably has the highest shear modulus that we know of.
[01:18:23.920 --> 01:18:26.960] It's 10 to the 12 ergs per cubic centimeter.
[01:18:26.960 --> 01:18:28.560] And erg is just a unit of energy.
[01:18:28.560 --> 01:18:29.520] Don't worry about that.
[01:18:29.520 --> 01:18:31.120] It's got 10 to the 12.
[01:18:31.760 --> 01:18:34.240] That's 10 times higher than most metals.
[01:18:34.240 --> 01:18:34.800] So diamond.
[01:18:34.880 --> 01:18:35.360] It's tough number.
[01:18:35.600 --> 01:18:36.640] Diamond is tough stuff.
[01:18:36.640 --> 01:18:37.360] It's only a billion.
[01:18:37.520 --> 01:18:38.160] Yeah, 10 to 12.
[01:18:38.160 --> 01:18:39.120] It's just a billion.
[01:18:39.600 --> 01:18:41.840] So a billion ergs per cubic centimeter.
[01:18:42.320 --> 01:18:45.520] That's the toughest material that we really know.
[01:18:45.520 --> 01:18:47.520] Nuclear pasta was calculated.
[01:18:47.520 --> 01:18:54.960] Some awesome scientists decided, I'm going to test how theoretically tough nuclear pasta is.
[01:18:54.960 --> 01:19:01.640] They came up with a shear modulus of 10 to the 30 ergs per cubic centimeter compared to 10 to the 12.
[01:18:59.920 --> 01:19:03.240] That's a nanillion ergs.
[01:19:03.240 --> 01:19:03.640] There you go.
[01:19:03.640 --> 01:19:04.120] That's what I'm doing.
[01:19:04.360 --> 01:19:04.680] There you go.
[01:18:59.920 --> 01:19:05.800] Everyone's waiting for that.
[01:19:06.440 --> 01:19:10.520] Nanillion ergs or a million trillion trillion ergs.
[01:19:10.520 --> 01:19:12.280] That's a ridiculous number.
[01:19:12.840 --> 01:19:14.440] Well, everyone knows what a nanillion is.
[01:19:15.000 --> 01:19:15.880] Well, yeah.
[01:19:15.880 --> 01:19:16.760] 10 to the 30.
[01:19:17.080 --> 01:19:23.080] But nuclear pasta then, therefore, has roughly one quintillion times the strength of diamond.
[01:19:23.080 --> 01:19:24.680] Talk about al dente.
[01:19:24.680 --> 01:19:27.800] And I've been waiting for that damn line all day.
[01:19:28.600 --> 01:19:30.520] So that's nuclear pasta.
[01:19:30.520 --> 01:19:31.720] Isn't it delicious?
[01:19:32.040 --> 01:19:34.120] Now, we're not sure what's in the core.
[01:19:34.120 --> 01:19:41.160] If you keep going down towards the core of the neutron star, yeah, we're not too sure, but it's got to be some crazy shit, right?
[01:19:41.160 --> 01:19:42.280] Just guaranteed.
[01:19:42.600 --> 01:19:51.800] Most theories, I think most people would say that the degenerate matter in the core of a neutron star has to be something beyond a neutron and proton nuclear pasta.
[01:19:51.800 --> 01:19:54.440] It's probably quark gluon plasma.
[01:19:54.440 --> 01:19:55.880] We've talked about that on the show.
[01:19:55.880 --> 01:19:57.000] Fascinating stuff.
[01:19:57.000 --> 01:19:58.280] Don't even get me started on it.
[01:19:58.280 --> 01:19:59.720] But that's probably what's in the core.
[01:19:59.960 --> 01:20:03.080] But we're not really totally sure about that.
[01:20:03.160 --> 01:20:04.280] It seems likely, though.
[01:20:04.280 --> 01:20:07.880] So you might now be wondering: so, what the hell is the new research?
[01:20:07.880 --> 01:20:09.880] Because this is all just background I'm giving you.
[01:20:09.880 --> 01:20:12.040] I haven't even gotten to the meat of this.
[01:20:12.200 --> 01:20:13.240] That's right, Carol.
[01:20:13.240 --> 01:20:17.800] So, but I know it's basically impossible to top nuclear pasta, but I will try my best.
[01:20:17.800 --> 01:20:24.920] So, these researchers essentially filled in the gap between the neutron drip phenomenon and the nuclear pasta.
[01:20:24.920 --> 01:20:27.480] Okay, get your imaginations going again.
[01:20:27.480 --> 01:20:29.320] Imagine we're going down through the crust.
[01:20:29.320 --> 01:20:34.440] We're going past the surface, and the first thing we encounter in the crust is the neutron dripping, right?
[01:20:34.600 --> 01:20:35.560] The neutron dripped.
[01:20:35.800 --> 01:20:36.840] We talked about that.
[01:20:36.840 --> 01:20:38.200] That's the first thing you see.
[01:20:38.200 --> 01:20:43.760] That's where the nucleus is independent and kind of gets squeezed out of the nucleus of the atoms.
[01:20:43.240 --> 01:20:49.280] But then after that, there's the nuclear pasta.
[01:20:49.840 --> 01:21:03.120] But in between those two, in between the dripping neutrons and the nuclear pasta, the researchers wanted to see if they could find a proton drip phenomena, which is similar to neutron, but they couldn't, nobody really knew for sure.
[01:21:03.120 --> 01:21:06.720] Some scientists were saying, yes, proton drips exist.
[01:21:06.720 --> 01:21:13.120] Other scientists were saying, no, we couldn't find any evidence of the proton drip phenomena.
[01:21:13.120 --> 01:21:16.640] So they were looking at it from a new theoretical perspective, a new way of looking at it.
[01:21:16.640 --> 01:21:35.360] And it seems, and their conclusion was that at very specific depths in the crust, protons can also separate from the nucleus and form their own exotic phase of matter, just like neutrons can form their own exotic phase of matter in terms of these neutron drips where they conglomerate together outside.
[01:21:35.360 --> 01:21:38.480] They leave the nucleus and become their own phase of matter.
[01:21:38.480 --> 01:21:41.200] And this is before it becomes the nuclear pasta.
[01:21:41.200 --> 01:21:44.960] It's above, this is above depth-wise, the nuclear pasta.
[01:21:44.960 --> 01:21:56.160] So the lead researcher and theoretical physicist, Achim Schwenk, said, We were also able to show that this phase favors the phenomenon of nuclear pasta.
[01:21:56.160 --> 01:22:05.840] So that was awesome because not only did they discover this proton drip, they discovered that it helps kind of shore up the whole idea of nuclear pasta.
[01:22:05.840 --> 01:22:08.480] So that was just an awesome bonus right there.
[01:22:09.280 --> 01:22:17.200] So proton drip not only improves our confidence and understanding of nuclear pasta, it helps us model the entire crust of neutron stars.
[01:22:17.200 --> 01:22:24.080] You know, things like how electrical conductivity works inside there, how thermal transport works inside of neutron stars, and more.
[01:22:24.080 --> 01:22:34.520] And all of that, once we have a good handle on that and you know what's going on inside, then that will influence what we can observe, you know, how we interpret what we observe.
[01:22:34.600 --> 01:22:48.840] So we can see if we see some bizarre things happening or some mysterious thing happening with neutron stars, and there's plenty of them, we can then tie it back into what we know about the internal structure of the neutron star itself and make sense of what we're seeing.
[01:22:49.560 --> 01:22:55.000] Schwenk says: the better we can describe neutron stars, the better we can compare with astrophysical observations.
[01:22:55.000 --> 01:23:03.640] So, yeah, this could, in a sense, revolutionize or really greatly help the study and understanding of what's going on in these amazing objects.
[01:23:03.640 --> 01:23:12.040] So, in conclusion, my only hope now is that whatever exotic degenerate fluid we ultimately find in the core, somebody will call it spaghetti sauce.
[01:23:12.040 --> 01:23:13.080] Spaghetti sauce.
[01:23:13.080 --> 01:23:14.120] And that's all I got.
[01:23:14.680 --> 01:23:15.880] All right, thanks, Bob.
[01:23:15.880 --> 01:23:16.680] Are you guys hungry?
[01:23:17.000 --> 01:23:17.160] No.
[01:23:17.960 --> 01:23:19.480] That was actually quite filling.
[01:23:19.480 --> 01:23:24.040] Bob, when you go to Rome, you're going to get Caccioe Pepe.
[01:23:24.040 --> 01:23:24.360] Oh, yeah.
[01:23:24.520 --> 01:23:25.080] Buccatini.
[01:23:25.400 --> 01:23:26.440] That's when you get the Buccini.
[01:23:26.520 --> 01:23:28.280] Oh, is Buccatini in there?
[01:23:28.280 --> 01:23:28.600] Yes.
[01:23:28.840 --> 01:23:29.960] Typically, yes.
[01:23:29.960 --> 01:23:30.280] Okay.
[01:23:30.600 --> 01:23:31.080] It's like a.
[01:23:31.160 --> 01:23:31.960] Oh, fantastic.
[01:23:31.960 --> 01:23:34.200] That's how you know about Buccatini because we never had that at home.
[01:23:34.200 --> 01:23:35.160] That's for damn sure.
[01:23:35.160 --> 01:23:38.040] All right, Evan, tell us about the eyeball planet.
[01:23:38.040 --> 01:23:41.560] Ooh, the eye of Sauron Caesar.
[01:23:42.520 --> 01:23:51.480] Well, okay, it's an exoplanet, and its designation is LHS 1140B, as in boy.
[01:23:51.480 --> 01:23:54.360] And yeah, we've known about this for a while.
[01:23:54.360 --> 01:23:57.400] Astronomers discovered it in 2017.
[01:23:57.400 --> 01:24:02.560] And upon its discovery, it was first believed to be most likely a gas giant.
[01:24:02.560 --> 01:24:06.040] Perhaps something, what, akin to the planet Neptune, maybe?
[01:24:06.360 --> 01:24:12.520] However, a new observation with our favorite, the James Webb Space Telescope.
[01:24:12.520 --> 01:24:13.960] And James Webb is kick it.
[01:24:13.960 --> 01:24:16.000] But is it ever?
[01:24:14.120 --> 01:24:21.040] It suggests that LHS 1140b may not be a gas giant.
[01:24:14.360 --> 01:24:27.120] Instead, it could be an icy or watery world with a thick atmosphere.
[01:24:27.120 --> 01:24:27.840] Woohoo.
[01:24:27.840 --> 01:24:29.040] Oh, yep.
[01:24:29.040 --> 01:24:40.240] It could be a world completely covered in ice, similar to Jupiter's moon Europa, or be an ice world with a liquid substellar ocean and a cloudy atmosphere.
[01:24:40.240 --> 01:24:41.520] Oh my gosh.
[01:24:41.520 --> 01:24:46.160] This exoplanet, it's about 1.7 times the size of Earth.
[01:24:46.160 --> 01:24:54.800] And right now, perhaps it's the most promising habitable zone exoplanet yet that they've been able to identify.
[01:24:54.800 --> 01:24:56.800] Thank you, James Webb Telescope.
[01:24:56.800 --> 01:24:58.240] And yeah, so what?
[01:24:58.560 --> 01:25:00.000] If there's really water there?
[01:25:00.000 --> 01:25:05.120] I mean, is that not one of the, if not the best indicator for potential life?
[01:25:05.120 --> 01:25:07.680] At least as we Terrans understand life?
[01:25:08.000 --> 01:25:09.120] It's an amazing solvent.
[01:25:09.120 --> 01:25:12.480] It would be fantastic if they could prove it.
[01:25:12.480 --> 01:25:18.400] This and this ocean, Bob, may be a temperate water ocean as well.
[01:25:19.680 --> 01:25:27.360] The lead author of the paper on this discovery, his name is Charles Cadieu, and C-A-D-I-E-U-X.
[01:25:27.360 --> 01:25:29.440] I'm sorry if I butchered that.
[01:25:29.440 --> 01:25:33.520] He's a doctoral student at the University of Montreal.
[01:25:33.520 --> 01:25:49.520] And here's what he said in his statement: Of all currently known temperate exoplanets, LHS 1140B could well be our best one to date to incorrectly, to indirectly confirm liquid water on the surface of an alien world beyond our solar system.
[01:25:49.520 --> 01:25:54.720] It would be a major milestone in the search for potentially habitable exoplanets.
[01:25:56.480 --> 01:26:03.880] Bob, you know what kind of planet, what kind of star this planet orbits around, right?
[01:25:59.680 --> 01:26:05.720] I don't know what kind of star it is.
[01:26:05.880 --> 01:26:07.080] Well, would you make a guess, right?
[01:26:07.080 --> 01:26:08.840] It would be a what, red dwarf?
[01:26:08.840 --> 01:26:09.960] Isn't that usually what we talk about?
[01:26:10.440 --> 01:26:12.040] Going with the odds, I would go with that.
[01:26:12.040 --> 01:26:12.520] Yes.
[01:26:12.520 --> 01:26:14.120] Yeah, yep, yep.
[01:26:14.120 --> 01:26:17.720] And this system is only 48 light years away from Earth.
[01:26:17.720 --> 01:26:19.480] Oh, man, right around the block.
[01:26:19.800 --> 01:26:20.440] Yep.
[01:26:21.080 --> 01:26:27.080] And this planet lives in the star's habitable zone, the Goldilocks zone, which we like to talk about.
[01:26:27.080 --> 01:26:35.080] Now, here's an interesting comment: Ryan McDonald, NASA Sagan Fellow in the University of Michigan Department of Astronomy.
[01:26:35.080 --> 01:26:36.440] I love that title.
[01:26:36.680 --> 01:26:40.680] He aided in the analysis of LHS 1140B's atmosphere.
[01:26:40.680 --> 01:26:48.520] And here's what he said: This is the first time we've ever seen a hint of an atmosphere on a habitable zone, rocky or ice-rich exoplanet.
[01:26:48.840 --> 01:26:54.760] And he suggested that the team may have even found evidence of air on it.
[01:26:54.760 --> 01:26:55.800] Oh, my gosh.
[01:26:55.800 --> 01:26:56.120] Wow.
[01:26:56.440 --> 01:26:56.840] I don't know.
[01:26:56.840 --> 01:26:59.000] That might seem a little bit sure, right?
[01:26:59.000 --> 01:27:00.520] So some gases then.
[01:27:01.080 --> 01:27:01.480] Right.
[01:27:01.480 --> 01:27:02.280] Well, right.
[01:27:03.000 --> 01:27:04.440] I guess if you're having air, what?
[01:27:04.440 --> 01:27:08.600] That's a measurable atmosphere of some kind on the surface, maybe?
[01:27:09.320 --> 01:27:10.200] Yeah, no.
[01:27:10.600 --> 01:27:15.400] So when this, so this exoplanet, again, was originally discovered in 2017.
[01:27:15.400 --> 01:27:21.960] And it's been looked at by several telescopes: Spitzer Telescope, Hubble Space Telescope, the TESS, right?
[01:27:21.960 --> 01:27:22.600] Yeah, yeah.
[01:27:22.920 --> 01:27:29.960] But they said something was missing as far as their analysis goes, and that's when they turned James Webb loose on it.
[01:27:30.280 --> 01:27:41.080] And because, and they couldn't, without the webb analysis, they couldn't really determine, was this a mini Neptune, you know, kind of this gas giant planet, or is it a super-Earth?
[01:27:41.720 --> 01:28:00.080] And James Webb was able to give them some additional data to the point where they are saying now that this data has now strongly excluded the mini-Neptune scenario and confirmed the world might have a nitrogen-laced atmosphere like Earth.
[01:28:00.080 --> 01:28:00.560] Wow.
[01:28:00.560 --> 01:28:02.800] They say it's a tentative result, tentative.
[01:28:02.800 --> 01:28:04.400] It needs more study.
[01:28:04.400 --> 01:28:11.760] But the presence of a nitrogen-rich atmosphere would suggest the planet has retained a substantial atmosphere, creating conditions that might support liquid water.
[01:28:12.080 --> 01:28:14.800] So I would have to assume that this is a trend.
[01:28:14.880 --> 01:28:16.720] They discovered this through the transit method?
[01:28:17.040 --> 01:28:24.960] You know, the article did not speak to that because it was, you know, because the original discovery was back in 2017.
[01:28:25.280 --> 01:28:29.200] I would assume that's the case, Bob, but I can't say that for certain, right?
[01:28:29.200 --> 01:28:32.960] Because the transit method, I think, is how the vast majority of these are found.
[01:28:33.040 --> 01:28:38.400] Yeah, it seems likely, especially if you're determining what's in the atmosphere, you're going to capture the sunlight coming through, right?
[01:28:38.400 --> 01:28:54.560] Coming through the atmosphere, and then you see, you know, what's, you know, what that light is like, what was absorbed in the atmosphere, as opposed to what's coming from the star that doesn't go through the atmosphere, and then you can kind of just figure out, oh, these elements are in the atmosphere, if there is one.
[01:28:54.880 --> 01:28:55.360] Interesting.
[01:28:55.360 --> 01:28:56.160] I had to read about this.
[01:28:56.160 --> 01:28:57.360] This is pretty cool.
[01:28:57.360 --> 01:29:03.920] They compared this a little bit to kind of the discoveries that we've made on the TRAPPIST system, right?
[01:29:03.920 --> 01:29:13.680] Which they're taking a very close look at those planets in that particular system because it has some similarities to our own solar system here.
[01:29:13.680 --> 01:29:23.840] However, they said that when you compare this particular planet in its system versus the planets of the TRAPPIST system, that LHS 1140B appears to be calmer and less active.
[01:29:23.920 --> 01:29:25.200] I'm sorry, they're talking about the host star.
[01:29:25.200 --> 01:29:28.400] So it's LHS 1140, not B.
[01:29:28.400 --> 01:29:34.280] The star itself appears to be calmer and less active than the TRAPPIST host star, right?
[01:29:34.280 --> 01:29:43.640] Making it significantly less challenging to disentangle LHS 1140B's atmosphere from stellar signals caused by star spots.
[01:29:43.640 --> 01:30:03.000] And they made a point of that because I apparently, and this is the first I really read about this, is that the analysis with the TRAPPIST system, they're not there could be some interference by these star spots by its host star, causing interference, I guess, with the readings or the data itself.
[01:30:03.000 --> 01:30:07.720] Whereas this particular one, there's less of that fudge factor involved.
[01:30:08.280 --> 01:30:14.200] Yeah, I wonder if the TRAPPIST star is younger, because younger stars can often be very volatile.
[01:30:14.200 --> 01:30:18.920] So maybe their TRAPPIST star is younger, and that's why it's so active.
[01:30:19.400 --> 01:30:20.920] But this is a red dwarf?
[01:30:20.920 --> 01:30:21.480] Yes.
[01:30:21.480 --> 01:30:22.920] Yeah, so forget about it.
[01:30:22.920 --> 01:30:23.320] Yeah.
[01:30:24.120 --> 01:30:38.200] I mean, unfortunately, I mean, there's still, I guess, a little bit of a window, but in order to be close enough to a red dwarf to be in the habitable zone, you're going to probably be tidally locked.
[01:30:38.520 --> 01:30:39.800] You are tidally locked, Stephen.
[01:30:39.800 --> 01:30:41.400] Yes, and this is where we get to the eyeball part.
[01:30:41.560 --> 01:30:43.160] But it may be resonant.
[01:30:43.160 --> 01:30:43.800] I know.
[01:30:43.800 --> 01:30:51.800] There may be a resonant orbit where you're like, you, the planet revolves three times for every two trips around the planet or whatever.
[01:30:51.800 --> 01:30:54.680] And so it's not 100% locked, so that would be good.
[01:30:54.680 --> 01:31:07.080] But the other thing is, yeah, the red dwarfs are very active when they're young, and then they relatively calm down, but they're still way more active than a yellow star would be even when they're calm, quote-unquote, calm.
[01:31:07.080 --> 01:31:08.360] So it's a relative thing.
[01:31:08.360 --> 01:31:16.000] And the thing is, if they have an atmosphere during the early phase of this star, the atmosphere would get stripped away.
[01:31:16.000 --> 01:31:16.640] It would get stripped.
[01:31:14.920 --> 01:31:17.040] So either.
[01:31:17.440 --> 01:31:20.000] But if it's a frozen, what if it's a frozen planet?
[01:31:20.000 --> 01:31:22.720] Well, the atmosphere, why would it be frozen if it's in the habitable zone?
[01:31:22.720 --> 01:31:24.800] It's kind of that's the conundrum.
[01:31:24.800 --> 01:31:25.280] So either.
[01:31:25.520 --> 01:31:33.520] Well, it could be at the far edge, but because those stars are so small, you'd have to be very close to be in the habitable zone.
[01:31:34.240 --> 01:31:36.960] Chances are it's going to be kind of nasty.
[01:31:37.120 --> 01:31:44.000] And what they see as an atmosphere could potentially be like, you know, rock, just be vaporized rock.
[01:31:44.000 --> 01:31:45.920] That's just if it's too close.
[01:31:46.320 --> 01:31:57.120] But the sort of sliver of hope is that the planet reconstitutes an atmosphere after the red dwarf relatively calms down.
[01:31:57.120 --> 01:32:03.600] Or it was a planet that was farther away and then migrated in later in the age of the star.
[01:32:03.600 --> 01:32:05.280] So a lot of unknowns here.
[01:32:05.280 --> 01:32:15.120] Yeah, there's some wiggle room there, but it's just not a great candidate for Earth-like or habitable planets.
[01:32:15.120 --> 01:32:23.600] We're much at the sweet spot is probably orange stars in terms of their longevity and habitability.
[01:32:24.400 --> 01:32:25.360] I get that.
[01:32:25.600 --> 01:32:26.560] I totally get that.
[01:32:26.560 --> 01:32:33.680] But they still, you know, I guess what, an artist rendition, or I guess the computer models are suggesting that if, if, Steve, I get it's an if.
[01:32:33.680 --> 01:32:41.920] If this is a snow, if this is a frozen world, basically, that is somehow close and hasn't been totally stripped away, okay?
[01:32:42.240 --> 01:32:58.880] And but one side is constantly facing its star, then what could be happening is that a patch of the surf of the planet that is facing the star could be quote-unquote melted away essentially, revealing what would be an ocean.
[01:32:58.880 --> 01:33:09.880] And hence that if you if you envision that, there would be your eyeball, sort of like that patch of a circle within the sphere.
[01:33:09.880 --> 01:33:11.640] And I'll leave with this.
[01:33:12.200 --> 01:33:13.560] Who's quoted this?
[01:33:13.560 --> 01:33:14.920] Okay, this is part of the analysis.
[01:33:14.920 --> 01:33:26.040] Current models indicate that if LHS 1140b has an Earth-like atmosphere, it would be a snowball planet with a bullseye ocean about 4,000 kilometers in diameter.
[01:33:26.040 --> 01:33:33.640] And the surface temperature of the ocean may very well even be a comfortable 20 degrees Celsius or 68 degrees Fahrenheit.
[01:33:34.200 --> 01:33:35.160] That's a weird speculation.
[01:33:35.160 --> 01:33:36.280] I mean, how do you speculate that?
[01:33:36.280 --> 01:33:36.840] Does something work?
[01:33:37.000 --> 01:33:40.920] Yeah, and they admit more, more, more is needed.
[01:33:41.240 --> 01:33:44.520] More time, I guess, more analysis with James Webb on this one.
[01:33:44.520 --> 01:33:48.680] But it's fascinating, and it was certainly a stunning visual of the eye.
[01:33:48.840 --> 01:33:49.720] Yeah, right.
[01:33:49.720 --> 01:33:51.240] And you may have heard me earlier.
[01:33:51.240 --> 01:33:53.640] I used the term Terran, right?
[01:33:55.480 --> 01:34:00.920] So there, but if there are people in the Trappist system, they would be called trapezists.
[01:34:00.920 --> 01:34:01.400] Thank you.
[01:34:02.920 --> 01:34:04.440] Trapezists.
[01:34:06.040 --> 01:34:08.680] All right, Jay, it's who's at noisy time.
[01:34:09.000 --> 01:34:12.200] All right, guys, last week I played This Noisy.
[01:34:31.560 --> 01:34:33.080] Lots of stuff going on there.
[01:34:33.080 --> 01:34:33.720] What do you think, guys?
[01:34:33.800 --> 01:34:34.840] Dot matrix print thing.
[01:34:35.000 --> 01:34:35.880] It sounds like a printer.
[01:34:35.880 --> 01:34:40.280] It definitely has a printer vibe to it, but not a regular printer.
[01:34:40.280 --> 01:34:48.960] A listener named Alex Bonert wrote in and said his guess is that this sound you played is a seismograph recording an earth tremor.
[01:34:48.960 --> 01:34:54.080] I think I've only seen a real seismograph once in my entire life in a museum.
[01:34:54.080 --> 01:34:59.680] Every other time I've seen them, it was on some type of movie where something is exploding, right?
[01:34:59.680 --> 01:35:01.760] But yeah, apparently the arm moves really quick.
[01:35:02.000 --> 01:35:05.440] Anyway, that is not correct, but that's an interesting guess.
[01:35:05.440 --> 01:35:18.320] Another listener named Mitchell Altschuller wrote in and said, hi, the noisy from the SGU podcast and uploaded on July 6, 2024 was the computer called Mother from the original Alien movie.
[01:35:18.320 --> 01:35:20.000] That is not correct.
[01:35:20.000 --> 01:35:22.080] And then I'm like, I haven't heard that in a long time.
[01:35:22.080 --> 01:35:23.760] This is the Nostromo.
[01:35:24.000 --> 01:35:27.520] So let me play you a little bit of that and you tell me what you think.
[01:35:38.000 --> 01:35:41.360] Yeah, I recognize that sound.
[01:35:41.360 --> 01:35:42.320] Definitely recognize it.
[01:35:42.800 --> 01:35:44.160] Not a bad guess.
[01:35:44.400 --> 01:35:50.480] But that is not the computer on the Nostromo, but that movie from the movie Alien.
[01:35:50.560 --> 01:35:51.840] Freaking awesome movie.
[01:35:51.840 --> 01:35:58.960] Another listener named Nadine Johnson said, After a couple of glasses of wine and beer, my husband and I are guessing electronic roulette wheel.
[01:35:59.200 --> 01:36:03.520] And I don't think I've ever heard one of those, but this is not an electronic roulette wheel.
[01:36:03.520 --> 01:36:04.640] It's something else.
[01:36:04.640 --> 01:36:11.200] I got another guest here, a listener named Forat Janabi, and he said, Hey, Jay, long time listener, second time guesser.
[01:36:11.200 --> 01:36:13.200] Actually, my 10-year-old son is the guesser.
[01:36:13.200 --> 01:36:16.960] His guess is that it is a broken arcade machine.
[01:36:17.840 --> 01:36:23.760] I am sure that there are some broken arcade machines that sound exactly like this noisy.
[01:36:23.760 --> 01:36:25.120] But it's not correct.
[01:36:25.120 --> 01:36:28.800] But I'm going to tell, please tell your son, keep guessing, keep trying.
[01:36:28.800 --> 01:36:32.040] Life is about making mistakes and learning from our mistakes.
[01:36:29.920 --> 01:36:34.040] And I think this is awesome that he tried this.
[01:36:34.360 --> 01:36:40.680] He's not correct, but I want him to guess as many times as he can next week and the following weeks, and he'll finally get it.
[01:36:40.680 --> 01:36:43.720] All right, so guys, what the hell is this?
[01:36:43.720 --> 01:36:45.080] You guys were onto it.
[01:36:45.080 --> 01:36:47.480] This is some type of printer.
[01:36:47.480 --> 01:36:49.080] It's a 3D printer.
[01:36:49.400 --> 01:36:53.080] Not a 3D printer, but there's something special about this 3D printer.
[01:36:53.080 --> 01:36:54.600] It prints other 3D printers.
[01:36:54.600 --> 01:36:57.240] It is the fastest 3D printer in the world.
[01:36:57.320 --> 01:36:58.440] Doesn't sound like it.
[01:36:58.520 --> 01:37:00.200] Thing is cranking like crazy.
[01:37:00.200 --> 01:37:01.560] Listen to this thing again.
[01:37:01.560 --> 01:37:04.120] You really have to see a video, but this is a podcast.
[01:37:04.120 --> 01:37:05.080] But just listen to it.
[01:37:05.080 --> 01:37:07.800] It is moving super fast.
[01:37:15.400 --> 01:37:17.240] And later on, it goes.
[01:37:26.360 --> 01:37:28.200] Thing is cranking like crazy.
[01:37:29.000 --> 01:37:35.800] So yeah, the person who developed it is apparently working on making them faster and faster and faster.
[01:37:35.800 --> 01:37:38.680] So yeah, 3D printers do not have to be slow.
[01:37:38.680 --> 01:37:45.960] You know, I think a big part of the problem is being able to move the substrate, whatever you're using.
[01:37:45.960 --> 01:37:52.600] You know, like we use PLA plastic in most regular 3D printers, and then they use a resin for resin printers.
[01:37:52.760 --> 01:37:57.080] This was more of a PLA, you know, plastic printer.
[01:37:57.080 --> 01:37:59.080] It is moving super fast.
[01:37:59.080 --> 01:37:59.720] Very cool.
[01:37:59.720 --> 01:38:02.680] It's the future, and I'm really excited about that.
[01:38:03.000 --> 01:38:05.480] So, thank you all for guessing.
[01:38:05.480 --> 01:38:08.920] And good job to the win, which came.
[01:38:08.920 --> 01:38:09.400] Oh, yeah, sorry.
[01:38:10.600 --> 01:38:12.280] Did I say the winner?
[01:38:12.600 --> 01:38:13.880] Okay, sorry.
[01:38:13.880 --> 01:38:18.960] Oh, and I didn't mention the winner is Christian Sigurdsson.
[01:38:14.840 --> 01:38:21.680] And Christian guessed it the day before.
[01:38:22.000 --> 01:38:22.320] Why?
[01:38:22.480 --> 01:38:29.440] Because he's in a country that is so far ahead time-wise that he freaking guessed it on the fifth, not on the sixth.
[01:38:29.440 --> 01:38:30.720] I'm like, damn, yeah.
[01:38:30.720 --> 01:38:32.400] What time is it in the North Pole?
[01:38:32.400 --> 01:38:32.960] Yes.
[01:38:34.160 --> 01:38:39.520] I'm like, literally, like, I'm starting to do a search over here, and I realized, oh, she's just busting my stomach.
[01:38:39.520 --> 01:38:40.640] Okay, thank you.
[01:38:40.640 --> 01:38:42.000] Thank you, everyone, for guessing.
[01:38:42.000 --> 01:38:43.760] I have a new noisy for this week.
[01:38:43.760 --> 01:38:49.520] This noisy was sent in by a listener named Paul Johnson, and here it is.
[01:39:00.000 --> 01:39:01.520] Good luck on that one, guys.
[01:39:01.520 --> 01:39:02.800] Cricket sonar.
[01:39:02.800 --> 01:39:04.560] This is this, guys.
[01:39:04.560 --> 01:39:07.440] If you don't know the name of the game, it's Who's That Noisy?
[01:39:08.480 --> 01:39:14.000] Sometimes people email me and they say I'm submitting something for What's That Noisy.
[01:39:14.560 --> 01:39:17.280] But Steve's daughter actually said, Who's That Noisy?
[01:39:17.280 --> 01:39:18.320] That's the name of the game.
[01:39:18.320 --> 01:39:19.360] My God, Steve.
[01:39:20.080 --> 01:39:22.000] We've been doing the show for almost 20 years.
[01:39:22.000 --> 01:39:23.600] We came up with Who's That Noisy in what?
[01:39:23.600 --> 01:39:24.480] Year two?
[01:39:24.720 --> 01:39:26.160] No, it was later than that.
[01:39:26.160 --> 01:39:27.040] It was?
[01:39:27.040 --> 01:39:29.200] Yeah, like four or five, I think.
[01:39:29.200 --> 01:39:30.240] So, how old was she?
[01:39:30.240 --> 01:39:31.680] Like six or seven?
[01:39:31.680 --> 01:39:35.520] Yeah, but we've been saying it for years, ever since she said it when she was.
[01:39:35.600 --> 01:39:36.160] Oh, okay.
[01:39:36.160 --> 01:39:36.720] That's right.
[01:39:36.720 --> 01:39:37.600] I remember now.
[01:39:37.600 --> 01:39:38.320] Yeah.
[01:39:38.960 --> 01:39:39.520] But it's good.
[01:39:39.680 --> 01:39:40.160] All right.
[01:39:40.160 --> 01:39:42.080] I got a few announcements, guys.
[01:39:42.400 --> 01:39:46.400] So, as you know, we're coming up on our 1,000th episode.
[01:39:46.400 --> 01:39:54.080] If you enjoy this show, if you think that the content that we make has any impact on you or the world, please do consider becoming a patron.
[01:39:54.080 --> 01:39:59.280] You can go to our Patreon at www.patreon.com forward slash skepticsguide.
[01:39:59.280 --> 01:39:59.920] We'd really appreciate it.
[01:40:00.920 --> 01:40:07.800] I think I mentioned last week, as you can tell, ads are down and patrons are really what's keeping us afloat.
[01:40:07.800 --> 01:40:12.120] So we'd like to thank our current patrons and anyone who's considering to become a patron.
[01:40:12.120 --> 01:40:13.480] We'd really appreciate it.
[01:40:13.480 --> 01:40:15.080] You could join our mailing list.
[01:40:15.080 --> 01:40:15.960] This is for free.
[01:40:15.960 --> 01:40:20.840] We will send you an email every week about everything that we've accomplished the week before.
[01:40:20.840 --> 01:40:24.840] All you got to do is go to our homepage and there's a button on there for that to join that.
[01:40:24.840 --> 01:40:27.000] You can give our show a rating if you want.
[01:40:27.000 --> 01:40:28.520] That helps other people find us.
[01:40:28.760 --> 01:40:31.160] We really appreciate you doing that.
[01:40:31.480 --> 01:40:33.720] We have shows with tickets, Steve.
[01:40:33.720 --> 01:40:41.000] Now, the extravaganza, Steve, August 17th, 2:30 is when the show starts.
[01:40:41.000 --> 01:40:42.520] This is an afternoon show.
[01:40:42.520 --> 01:40:46.760] We're going to be trying some new bits in that show, and it's going to be a lot of fun.
[01:40:46.760 --> 01:40:48.680] There are tickets available if you're interested.
[01:40:48.680 --> 01:40:52.040] Again, go to the SGU's homepage for more details on that.
[01:40:52.040 --> 01:40:55.320] I have very, very, very few tickets left.
[01:40:55.320 --> 01:41:00.840] I think about six tickets left for the 1,000th live recording show, right?
[01:41:01.000 --> 01:41:02.360] This is on the 18th.
[01:41:02.360 --> 01:41:03.720] Yeah, last I checked.
[01:41:03.720 --> 01:41:05.400] I think there were six or seven tickets left.
[01:41:05.400 --> 01:41:06.760] They're going to go quick.
[01:41:06.920 --> 01:41:09.480] So if you're interested, get in there quick.
[01:41:09.720 --> 01:41:14.600] You can go to the skepticsguide.org and there's a button on there for the thousandth show.
[01:41:14.600 --> 01:41:16.600] Oh, and I almost forgot, Steve.
[01:41:16.600 --> 01:41:22.680] Patreon recently updated the platform, and we now can allow free memberships.
[01:41:22.680 --> 01:41:29.080] So if you become a free SGU member, you'll get access to one of the channels on our Discord.
[01:41:29.080 --> 01:41:32.680] We'll also give you portions of some of our premium content.
[01:41:32.680 --> 01:41:38.280] So please think about joining us for free today because what else in life is free, Steve?
[01:41:38.280 --> 01:41:39.720] So, Steve, that wraps it up.
[01:41:39.720 --> 01:41:41.720] That's what's happening in SGU land.
[01:41:41.720 --> 01:41:42.600] Back to you, brother.
[01:41:42.600 --> 01:41:42.920] All right.
[01:41:42.920 --> 01:41:43.640] Thanks, Jay.
[01:41:43.640 --> 01:41:44.520] One quick email.
[01:41:44.520 --> 01:41:47.360] This comes from Bain in Newcastle, Australia.
[01:41:47.360 --> 01:41:47.920] Bain.
[01:41:48.480 --> 01:41:49.280] Bain.
[01:41:44.760 --> 01:41:51.120] And he writes, Good day, team.
[01:41:51.280 --> 01:41:54.560] First, thank you for providing us all with this show.
[01:41:54.560 --> 01:41:58.720] I stumbled across it a few months ago and have been an avid listener ever since.
[01:41:58.720 --> 01:42:04.320] We do get emails from people who are stumbling upon our show recently, like, oh my god, there's almost a thousand episodes.
[01:42:04.320 --> 01:42:04.880] What do I do?
[01:42:04.880 --> 01:42:05.840] What do I do?
[01:42:05.840 --> 01:42:10.160] But yeah, we have advice for you if you want to know how to consume our back catalog.
[01:42:10.160 --> 01:42:14.400] Anyway, he goes on: My question relates to the latest fad of hydrogenated water.
[01:42:14.800 --> 01:42:18.880] It seems that a couple adults have turned a high school science experiment into a con.
[01:42:18.880 --> 01:42:24.480] There's a lot of studies that hydrogen is good for the body, but hydrogenated water smells scammy.
[01:42:24.480 --> 01:42:25.200] I agree.
[01:42:25.200 --> 01:42:28.320] It smells super scammy because it is.
[01:42:28.800 --> 01:42:33.760] So this is just hydrogen gas dissolved in water, right?
[01:42:34.080 --> 01:42:37.120] And the hydrogen is supposed to be good for you.
[01:42:37.120 --> 01:42:46.720] This is a classic snake oil scam in that there's really no compelling evidence that this has any health benefits.
[01:42:46.720 --> 01:42:55.600] But there's all that kind of wishy-washy evidence that's used for promotion, but doesn't really answer any questions.
[01:42:55.600 --> 01:43:01.120] So, first of all, what do you think is the main mechanistic claim made for hydrogen water?
[01:43:01.600 --> 01:43:03.440] How does it allegedly help you?
[01:43:03.440 --> 01:43:04.640] What do you guess?
[01:43:04.640 --> 01:43:05.360] I have no idea.
[01:43:05.680 --> 01:43:06.880] Flushes toxins.
[01:43:06.880 --> 01:43:09.840] That's a good guess, but that's, and they probably say that somewhere in there.
[01:43:09.840 --> 01:43:13.440] But the number one thing is it's an antioxidant.
[01:43:13.440 --> 01:43:15.200] Oh, goddammit.
[01:43:15.520 --> 01:43:16.160] Right?
[01:43:16.160 --> 01:43:23.680] And as we know very well, yeah, there's no evidence that just routinely taking oral antioxidants has any health benefit.
[01:43:23.680 --> 01:43:26.640] So right out of the gate, they're on shaky ground.
[01:43:26.640 --> 01:43:30.920] A lot of the studies are marker studies, like they're looking at this marker or that marker.
[01:43:30.920 --> 01:43:32.600] Those are virtually useless.
[01:43:29.840 --> 01:43:35.080] You can't make health claims based upon them.
[01:43:35.400 --> 01:43:41.880] That just adds information about what may or may not be happening, but it doesn't tell us that it works, that it's good for anything.
[01:43:42.200 --> 01:43:44.440] And the clinical studies are all over the place.
[01:43:44.440 --> 01:43:46.280] No consistent signal.
[01:43:46.280 --> 01:43:56.760] As one researcher who reviewed the literature said, for every study you find that says it helps, there's another one that says it doesn't help, which is sort of the classic pattern that we see for something that does not work.
[01:43:56.920 --> 01:43:59.640] There's no consistent signal there.
[01:43:59.640 --> 01:44:03.560] There's no positive studies significantly in excess of negative studies.
[01:44:03.560 --> 01:44:09.720] It's just the random distribution that we expect from a null effect.
[01:44:10.920 --> 01:44:14.840] Just, you know, again, just the mixed results that are all over the place.
[01:44:14.840 --> 01:44:18.360] So it hasn't been shown to actually have any health benefits.
[01:44:18.360 --> 01:44:21.960] The justifications that are made for it are very dodgy.
[01:44:21.960 --> 01:44:28.920] You know, there's no formal recommendation to take it as a health supplement or for it to be healthy.
[01:44:28.920 --> 01:44:30.760] It's basically a waste of money.
[01:44:30.760 --> 01:44:36.440] And I have patients who have specifically asked me about hydrogenated water, and I basically tell them, there's no evidence that it works.
[01:44:36.680 --> 01:44:37.720] Just save your money.
[01:44:37.960 --> 01:44:39.240] And this has been around for a while.
[01:44:39.240 --> 01:44:40.920] This is not a very recent fad.
[01:44:41.320 --> 01:44:44.120] We wrote about this on science-based medicine years ago.
[01:44:44.120 --> 01:44:48.840] But, you know, these things have second lives on TikTok and social media.
[01:44:49.000 --> 01:44:52.360] Have you seen the TikTok lady that's like really making the rounds?
[01:44:52.360 --> 01:44:59.800] I mean, it's a little old now, where she's like, as you know, water does not have hydrogen, and it's not hydrogenating.
[01:45:00.120 --> 01:45:01.400] And you're like, what?
[01:45:01.400 --> 01:45:01.800] Oh, my God.
[01:45:02.040 --> 01:45:02.680] What?
[01:45:03.480 --> 01:45:09.880] And so she's trying to, yeah, sell hydrogen-rich water, but she makes these insane, like, she doesn't know what food-based.
[01:45:09.880 --> 01:45:10.440] What water is.
[01:45:10.760 --> 01:45:11.400] Oh, yeah, right.
[01:45:11.640 --> 01:45:11.880] Yeah.
[01:45:12.200 --> 01:45:12.680] Totally.
[01:45:13.320 --> 01:45:14.920] And it's just so many people are like, say, what?
[01:45:15.520 --> 01:45:16.640] It's so scary.
[01:45:16.880 --> 01:45:20.240] Do not mix your hydrogenated water with hydrogenated oil.
[01:45:20.240 --> 01:45:21.120] That is the rule.
[01:45:21.120 --> 01:45:25.040] Or how about if you mix your hydrogenated water with oxygenated water?
[01:45:25.040 --> 01:45:26.880] Then what happens is explode.
[01:45:27.200 --> 01:45:28.480] Or do you just get more water?
[01:45:29.280 --> 01:45:30.800] Explode it to more water?
[01:45:30.800 --> 01:45:31.360] Yeah.
[01:45:32.320 --> 01:45:37.760] I'm no tech genius, but I knew if I wanted my business to crush it, I needed a website now.
[01:45:37.760 --> 01:45:39.760] Thankfully, Bluehost made it easy.
[01:45:39.760 --> 01:45:44.480] I customized, optimized, and monetized everything exactly how I wanted with AI.
[01:45:44.480 --> 01:45:46.240] In minutes, my site was up.
[01:45:46.240 --> 01:45:47.280] I couldn't believe it.
[01:45:47.280 --> 01:45:50.320] The search engine tools even helped me get more site visitors.
[01:45:50.320 --> 01:45:53.760] Whatever your passion project is, you can set it up with Bluehost.
[01:45:53.760 --> 01:45:56.880] With their 30-day money-back guarantee, what do you got to lose?
[01:45:56.880 --> 01:45:58.480] Head to bluehost.com.
[01:45:58.480 --> 01:46:02.720] That's B-L-U-E-H-O-S-T.com to start now.
[01:46:02.720 --> 01:46:06.880] Eczema isn't always obvious, but it's real.
[01:46:06.880 --> 01:46:09.840] And so is the relief from Ebglis.
[01:46:09.840 --> 01:46:16.640] After an initial dosing ph

Prompt 6: Key Takeaways

Now please extract the key takeaways from the transcript content I provided.

Extract the most important key takeaways from this part of the conversation. Use a single sentence statement (the key takeaway) rather than milquetoast descriptions like "the hosts discuss...". 

Limit the key takeaways to a maximum of 3. The key takeaways should be insightful and knowledge-additive. 

IMPORTANT: Return ONLY valid JSON, no explanations or markdown. Ensure:
- All strings are properly quoted and escaped
- No trailing commas
- All braces and brackets are balanced
Format: {"key_takeaways": ["takeaway 1", "takeaway 2"]}

Prompt 7: Segments

Now identify 2-4 distinct topical segments from this part of the conversation.

For each segment, identify:
- Descriptive title (3-6 words)  
- START timestamp when this topic begins (HH:MM:SS format)
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Most important Key takeaway from that segment. Key takeaway must be specific and knowledge-additive.
- Brief summary of the discussion

IMPORTANT: The timestamp should mark when the topic/segment STARTS, not a range. Look for topic transitions and conversation shifts.

Return ONLY valid JSON. Ensure all strings are properly quoted, no trailing commas:
{
  "segments": [
    {
      "segment_title": "Topic Discussion", 
      "timestamp": "01:15:30",
      "key_takeaway": "main point from this segment",
      "segment_summary": "brief description of what was discussed"
    }
  ]
}

Timestamp format: HH:MM:SS (e.g., 00:05:30, 01:22:45) marking the START of each segment.

Prompt 8: Media Mentions

Now scan the transcript content I provided for ACTUAL mentions of specific media titles:

Find explicit mentions of:
- Books (with specific titles)
- Movies (with specific titles)  
- TV Shows (with specific titles)
- Music/Songs (with specific titles)

DO NOT include:
- Websites, URLs, or web services
- Other podcasts or podcast names

IMPORTANT: 
- Only include items explicitly mentioned by name. Do not invent titles.
- Valid categories are: "Book", "Movie", "TV Show", "Music"
- Include the exact phrase where each item was mentioned
- Find the nearest proximate timestamp where it appears in the conversation
- THE TIMESTAMP OF THE MEDIA MENTION IS IMPORTANT - DO NOT INVENT TIMESTAMPS AND DO NOT MISATTRIBUTE TIMESTAMPS
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Timestamps are given as ranges, e.g. 01:13:42.520 --> 01:13:46.720. Use the EARLIER of the 2 timestamps in the range.

Return ONLY valid JSON. Ensure all strings are properly quoted and escaped, no trailing commas:
{
  "media_mentions": [
    {
      "title": "Exact Title as Mentioned",
      "category": "Book",
      "author_artist": "N/A",
      "context": "Brief context of why it was mentioned",
      "context_phrase": "The exact sentence or phrase where it was mentioned",
      "timestamp": "estimated time like 01:15:30"
    }
  ]
}

If no media is mentioned, return: {"media_mentions": []}

Prompt 9: Context Setup

You are an expert data extractor tasked with analyzing a podcast transcript. 
I will provide you with part 3 of 3 from a podcast transcript. 
I will then ask you to extract different types of information from this content in subsequent messages. Please confirm you have received and understood the transcript content.

Transcript section:
.
[01:45:02.040 --> 01:45:02.680] What?
[01:45:03.480 --> 01:45:09.880] And so she's trying to, yeah, sell hydrogen-rich water, but she makes these insane, like, she doesn't know what food-based.
[01:45:09.880 --> 01:45:10.440] What water is.
[01:45:10.760 --> 01:45:11.400] Oh, yeah, right.
[01:45:11.640 --> 01:45:11.880] Yeah.
[01:45:12.200 --> 01:45:12.680] Totally.
[01:45:13.320 --> 01:45:14.920] And it's just so many people are like, say, what?
[01:45:15.520 --> 01:45:16.640] It's so scary.
[01:45:16.880 --> 01:45:20.240] Do not mix your hydrogenated water with hydrogenated oil.
[01:45:20.240 --> 01:45:21.120] That is the rule.
[01:45:21.120 --> 01:45:25.040] Or how about if you mix your hydrogenated water with oxygenated water?
[01:45:25.040 --> 01:45:26.880] Then what happens is explode.
[01:45:27.200 --> 01:45:28.480] Or do you just get more water?
[01:45:29.280 --> 01:45:30.800] Explode it to more water?
[01:45:30.800 --> 01:45:31.360] Yeah.
[01:45:32.320 --> 01:45:37.760] I'm no tech genius, but I knew if I wanted my business to crush it, I needed a website now.
[01:45:37.760 --> 01:45:39.760] Thankfully, Bluehost made it easy.
[01:45:39.760 --> 01:45:44.480] I customized, optimized, and monetized everything exactly how I wanted with AI.
[01:45:44.480 --> 01:45:46.240] In minutes, my site was up.
[01:45:46.240 --> 01:45:47.280] I couldn't believe it.
[01:45:47.280 --> 01:45:50.320] The search engine tools even helped me get more site visitors.
[01:45:50.320 --> 01:45:53.760] Whatever your passion project is, you can set it up with Bluehost.
[01:45:53.760 --> 01:45:56.880] With their 30-day money-back guarantee, what do you got to lose?
[01:45:56.880 --> 01:45:58.480] Head to bluehost.com.
[01:45:58.480 --> 01:46:02.720] That's B-L-U-E-H-O-S-T.com to start now.
[01:46:02.720 --> 01:46:06.880] Eczema isn't always obvious, but it's real.
[01:46:06.880 --> 01:46:09.840] And so is the relief from Ebglis.
[01:46:09.840 --> 01:46:16.640] After an initial dosing phase, about four in ten people taking Ebglis achieved itch relief and clear or almost clear skin at 16 weeks.
[01:46:16.640 --> 01:46:20.880] And most of those people maintain skin that's still more clear at one year with monthly dosing.
[01:46:20.880 --> 01:46:32.320] EBGLIS Libricizumab L-BKZ, a 250 milligram per 2 milliliter injection, is a prescription medicine used to treat adults and children 12 years of age and older who weigh at least 88 pounds or 40 kilograms with moderate to severe eczema.
[01:46:32.320 --> 01:46:38.720] Also called atopic dermatitis that is not well controlled with prescription therapies used on the skin or topicals or who cannot use topical therapies.
[01:46:38.720 --> 01:46:41.600] EBGLIS can be used with or without topical corticosteroids.
[01:46:41.600 --> 01:46:43.280] Don't use if you're allergic to EBGLIS.
[01:46:43.280 --> 01:46:45.360] Allergic reactions can occur that can be severe.
[01:46:45.360 --> 01:46:46.400] Eye problems can occur.
[01:46:46.400 --> 01:46:48.720] Tell your doctor if you have new or worsening eye problems.
[01:46:48.720 --> 01:46:51.280] You should not receive a live vaccine when treated with Epglis.
[01:46:51.280 --> 01:46:54.160] Before starting Epglis, tell your doctor if you have a parasitic infection.
[01:46:54.400 --> 01:46:55.520] Searching for real relief?
[01:46:55.520 --> 01:47:02.440] Ask your doctor about Ebglis and visit epglis.lily.com or call 1-800-LILLIRX or 1-800-545-5979.
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[01:48:35.880 --> 01:48:38.520] All right, let's move on with science or fiction.
[01:48:40.440 --> 01:48:45.000] It's time for science or fiction.
[01:48:49.760 --> 01:48:58.400] Each week I come up with three science new guiding bird facts: two real, one fake, and I challenge my panel of skeptics to tell me which one is the fake.
[01:48:58.400 --> 01:49:03.440] We have a theme this week, and the theme is evolution.
[01:49:03.440 --> 01:49:06.000] You guys know a lot about evolution, don't you?
[01:49:06.000 --> 01:49:06.480] Well, sure.
[01:49:06.480 --> 01:49:07.280] I've heard about it.
[01:49:07.280 --> 01:49:07.920] Yeah, all right.
[01:49:07.920 --> 01:49:11.760] We'll see if you know modern evolution research I know about.
[01:49:12.080 --> 01:49:14.240] Well, tell me what you know about these things.
[01:49:14.240 --> 01:49:14.720] Ready?
[01:49:14.720 --> 01:49:28.080] Number one: evolutionary ideas go back to ancient Greek philosophy, going back to Anaximander, who postulated survival of the fittest and that humans evolved from fish.
[01:49:28.400 --> 01:49:36.560] I number two: the North American pronghorn antelope is actually most closely related to African giraffes.
[01:49:36.880 --> 01:49:48.320] And number three, although not confirmed until recently, in retrospect, the oldest pterodactyl specimen was discovered in Germany in the 14th century.
[01:49:48.320 --> 01:49:49.680] Bob, go first.
[01:49:49.680 --> 01:49:50.720] Hey, Bob.
[01:49:51.040 --> 01:49:52.080] Oof.
[01:49:53.600 --> 01:49:55.520] You always start with a, what is that called?
[01:49:55.840 --> 01:49:58.400] Ancient applosive.
[01:49:58.800 --> 01:50:00.080] I don't want to pee you up.
[01:50:00.080 --> 01:50:00.640] Thank you.
[01:50:00.960 --> 01:50:06.160] Okay, so evolutionary ideas go back to ancient Greek philosophy.
[01:50:06.480 --> 01:50:09.760] I've never heard of that going back that far.
[01:50:10.080 --> 01:50:12.240] What year was Anaximander?
[01:50:12.400 --> 01:50:13.440] 600 BC.
[01:50:13.440 --> 01:50:14.400] Oof.
[01:50:14.400 --> 01:50:15.200] Wow.
[01:50:15.920 --> 01:50:19.840] They know that because they found a coin with 600 BC marked on it.
[01:50:20.080 --> 01:50:20.560] Okay, gotcha.
[01:50:21.120 --> 01:50:26.280] I said, North American pronghorn, most closely related to African giraffes.
[01:50:26.080 --> 01:50:26.920] Hmm.
[01:50:27.280 --> 01:50:32.360] I mean, that's far away, but it wasn't as far a long time ago.
[01:50:29.760 --> 01:50:33.560] I guess it's possible.
[01:50:33.800 --> 01:50:41.320] It doesn't seem like, oh, yeah, no-brainer, no, for sure, but it's not really that crazy.
[01:50:41.320 --> 01:50:47.960] And pterodactyl specimens discovered in Germany, but not recognized, but it was discovered in the 14th century.
[01:50:47.960 --> 01:50:55.000] I just don't know where, if how unreasonable it would be for pterodactyls to be discovered in Germany.
[01:50:55.000 --> 01:50:58.440] If, you know, have there been other pterodactyls discovered there?
[01:50:58.440 --> 01:51:00.840] I think maybe not, but I don't know.
[01:51:00.840 --> 01:51:05.400] And I don't know how crazy it would be that they were discovered if they were discovered there.
[01:51:05.400 --> 01:51:11.720] You know, if there was like never been a hint of any pterodactyls, and then, oh, yeah, we found one in Germany centuries ago.
[01:51:11.720 --> 01:51:14.840] That I might want to say that that's fiction, but I just don't know.
[01:51:14.840 --> 01:51:25.560] So the only one that's directly saying no way is Greek philosophy, survival of the fittest, and that we evolved from sea life.
[01:51:25.560 --> 01:51:26.520] I mean, come on.
[01:51:26.520 --> 01:51:27.400] I would have heard of that.
[01:51:27.400 --> 01:51:28.680] I got to do that card.
[01:51:28.680 --> 01:51:30.200] I got to play that card.
[01:51:30.440 --> 01:51:33.160] Something I would have heard about and remembered.
[01:51:33.160 --> 01:51:34.360] So I'll say that's fiction.
[01:51:34.360 --> 01:51:36.040] But I'm probably wrong.
[01:51:36.040 --> 01:51:37.240] Okay, Jay.
[01:51:37.240 --> 01:51:44.520] Although not confirmed until recently, in retrospect, the oldest pterodactyl specimen was discovered in Germany in the 14th century.
[01:51:44.520 --> 01:51:47.480] Wow, so they're saying they found it in the 14th century.
[01:51:47.800 --> 01:51:48.520] Wow.
[01:51:48.520 --> 01:51:50.120] Well, I have never heard of that.
[01:51:50.120 --> 01:51:50.920] That's interesting.
[01:51:50.920 --> 01:51:51.320] All right.
[01:51:51.320 --> 01:51:52.360] I'm not sure about that.
[01:51:52.520 --> 01:51:53.000] I don't know.
[01:51:53.320 --> 01:51:55.240] I gotta let me let that sit for a second.
[01:51:55.240 --> 01:52:01.720] The second one: the North American pronghorn antelope is actually most closely related to African giraffes.
[01:52:01.720 --> 01:52:03.800] The pronghorn is a beautiful antelope.
[01:52:03.800 --> 01:52:05.000] Have you guys ever seen one?
[01:52:05.000 --> 01:52:05.400] Yeah.
[01:52:05.400 --> 01:52:06.120] No, I haven't.
[01:52:06.120 --> 01:52:07.000] You'll never forget it.
[01:52:07.000 --> 01:52:09.960] When you see their antlers, you'll never forget them.
[01:52:09.960 --> 01:52:11.480] They're just really cool-shaped.
[01:52:11.480 --> 01:52:19.920] Yeah, I mean, you know, I don't see why, even though giraffes have crazy long necks and everything, like, you know, they could have evolved that relatively quickly.
[01:52:19.920 --> 01:52:21.840] I think that that one's probably science.
[01:52:21.840 --> 01:52:31.760] And then the first one, going back to ancient Greek philosophy with an exomander who said that survival of the fittest and that humans evolved from fish.
[01:52:31.760 --> 01:52:39.280] Yeah, I see what Bob is saying, but there was a lot of philosophers talking at that time, saying a lot of different stuff.
[01:52:39.280 --> 01:52:39.760] True.
[01:52:39.760 --> 01:52:44.400] You know, I don't know how, if this is true, I don't know how deeply he went into any details.
[01:52:44.640 --> 01:52:48.480] I bet you it was just kind of some, if it happened, it was light speculation.
[01:52:48.480 --> 01:52:49.200] Yeah, I don't know.
[01:52:49.200 --> 01:52:53.600] I don't know if they found that pterodactyl specimen in the 14th century.
[01:52:54.160 --> 01:52:58.240] Something about that one is telling me it's not true, so I'm going to say that's the fiction.
[01:52:58.240 --> 01:52:59.440] Okay, Kara.
[01:52:59.440 --> 01:53:11.120] Okay, so I think that the North American pronghorn antelope being most closely related to the African giraffe is, I don't want to say likely, but could be science.
[01:53:11.120 --> 01:53:23.760] Mostly because there are a lot of animals like elephants, hyraxes, which are also known as rock dasses, and manatees are closely related.
[01:53:23.840 --> 01:53:25.200] And it's like, what?
[01:53:25.840 --> 01:53:34.640] And it doesn't seem likely that an antelope would be related to, or at least not more closely related to a giraffe than other antelopes.
[01:53:34.640 --> 01:53:38.160] But most of the antelopes that I know about are African.
[01:53:38.160 --> 01:53:40.800] Obviously, we do have antelopes in North America.
[01:53:40.800 --> 01:53:46.000] But it's also not uncommon for animals to have weird names that aren't actually what they are.
[01:53:46.320 --> 01:53:51.840] So, because up until we could do genetic work, we were just going, oh, it's hip kind of looks like that one's hip.
[01:53:51.840 --> 01:53:52.960] They're probably related.
[01:53:52.960 --> 01:53:58.000] So, that one I think could be science because it could be like a case of mistaken identity.
[01:53:58.000 --> 01:54:04.040] But the two that I'm grappling with right now are anaximander.
[01:54:04.360 --> 01:54:07.560] I think the thing that's bugging me about this one is survival of the fittest.
[01:54:07.560 --> 01:54:11.080] And so, I'm going to ask you a question that you probably can't tell me the answer to.
[01:54:11.400 --> 01:54:17.720] But is that our modern understanding of survival of the fittest, or was that his version of survival of the fittest?
[01:54:17.720 --> 01:54:19.480] It's survival of the fittest.
[01:54:19.480 --> 01:54:25.160] People who are stronger, faster, better, or whatever are more likely to survive and pass those traits on.
[01:54:25.160 --> 01:54:25.800] Right, okay.
[01:54:25.800 --> 01:54:27.320] So, yeah, it had nothing to do with genes.
[01:54:27.320 --> 01:54:27.960] Okay, so what's the problem?
[01:54:28.120 --> 01:54:30.520] So, clearly, I mean, clearly, it has nothing to do with genes.
[01:54:30.520 --> 01:54:35.560] But, I mean, it wasn't also about the fittest, like, okay, yeah, it wasn't about fitness.
[01:54:35.560 --> 01:54:41.400] It was about, and then the one about the pterodactyl.
[01:54:41.400 --> 01:54:50.360] Okay, so what from what I remember, the first dinosaur, and I'm going to be clear because a pterodactyl is not a dinosaur, it's a flying reptile.
[01:54:50.360 --> 01:54:54.440] The first dinosaur specimens were discovered in like the 17 or 1800s.
[01:54:54.440 --> 01:54:59.960] So, that would be a bit, that would be hundreds of years before the first dinosaur.
[01:54:59.960 --> 01:55:05.400] A pterodactyl specimen was discovered and knew that it was a pterodactyl specimen.
[01:55:05.400 --> 01:55:05.960] I don't know.
[01:55:05.960 --> 01:55:09.160] I don't think there's anything in the lore or the literature about these giants.
[01:55:09.320 --> 01:55:10.840] No, they didn't, that's the whole point.
[01:55:10.840 --> 01:55:14.280] Read their not confirmed.
[01:55:14.280 --> 01:55:14.760] Yeah.
[01:55:15.240 --> 01:55:21.080] Oh, I thought you were saying, although not confirmed until recently, that was the oldest specimen, as in the oldest.
[01:55:21.480 --> 01:55:26.840] In retrospect, looking back, oh, that was a frickin' pterodactyl they discovered in the 14th century.
[01:55:26.840 --> 01:55:29.560] But they didn't know until very recently that that's what it was.
[01:55:29.560 --> 01:55:42.920] So, what, just so that you know, the way that this is written and the way that I'm interpreting it, although not confirmed until recently, in retrospect, the oldest pterodactyl specimen, not the first one discovered, the literal geologically oldest.
[01:55:43.000 --> 01:55:48.240] No, the first one discovered the oldest specimen, not the oldest species or whatever.
[01:55:48.960 --> 01:55:50.560] It could still be the oldest specimen.
[01:55:44.600 --> 01:55:52.000] It's the oldest specimen, yeah.
[01:55:52.320 --> 01:55:57.040] Oh, yeah, that changes things a lot for me.
[01:55:57.200 --> 01:55:57.920] You're more confused.
[01:55:58.080 --> 01:56:02.000] That could happen if somebody found like a finger bone or something, had no idea what it was.
[01:56:02.240 --> 01:56:03.120] Look at this dog bone.
[01:56:03.440 --> 01:56:05.680] Let me file it away for centuries.
[01:56:05.680 --> 01:56:13.760] And it is also kind of weird to think that we didn't even notice all this really old shit in the ground until like the 17 or 1800s.
[01:56:15.840 --> 01:56:16.960] More plausible.
[01:56:16.960 --> 01:56:17.200] Yeah.
[01:56:18.240 --> 01:56:22.240] And I'm still going to say, yeah, the pterodactyl is the fiction.
[01:56:22.240 --> 01:56:22.560] Really?
[01:56:22.560 --> 01:56:23.200] Okay.
[01:56:23.360 --> 01:56:24.080] I don't know, though.
[01:56:25.120 --> 01:56:26.160] I don't feel strongly about it.
[01:56:26.400 --> 01:56:27.600] Goddamn toyn cost.
[01:56:27.600 --> 01:56:27.760] Yeah.
[01:56:28.480 --> 01:56:28.960] Okay.
[01:56:29.040 --> 01:56:30.400] Toin cost.
[01:56:31.040 --> 01:56:32.720] Pantera is a group, and Panera.
[01:56:32.960 --> 01:56:34.320] Yeah, exactly.
[01:56:35.520 --> 01:56:36.160] Cracking me up.
[01:56:36.320 --> 01:56:38.160] Pantera is also a cool car.
[01:56:38.160 --> 01:56:38.880] All these.
[01:56:38.880 --> 01:56:39.520] Oh, really?
[01:56:39.520 --> 01:56:41.120] I'll have to look that up.
[01:56:42.000 --> 01:56:43.440] But we digest.
[01:56:44.560 --> 01:56:45.520] Yeah, number one.
[01:56:45.520 --> 01:56:45.920] All right.
[01:56:45.920 --> 01:56:47.840] So, Anaximander.
[01:56:48.240 --> 01:56:50.160] Has nobody here heard of Anaximander?
[01:56:50.160 --> 01:56:52.480] Because I learned about Anaximander a very long time.
[01:56:52.640 --> 01:56:53.280] Yeah, I heard of him.
[01:56:53.520 --> 01:56:56.480] Anaximander and Anaxagoras was another one.
[01:56:56.480 --> 01:57:06.320] In fact, I had a Dungeons and Dragons character, a monk, named Axagoras, which I pulled from the name Anaxagoras, which it reminds me of Anaximander.
[01:57:06.320 --> 01:57:08.240] I just wanted to throw that out there.
[01:57:08.240 --> 01:57:13.200] So, therefore, I know a little bit about this, but here's why I think this one is science.
[01:57:13.200 --> 01:57:25.040] Because if my recollection is such, and I can credit my daughter for this because she used to want to watch Carl Sagan's Cosmos every night for several months, if not a year, before going to sleep.
[01:57:25.040 --> 01:57:30.040] So, in her room would be the CD player, you know, the DVD player and the Cosmos series.
[01:57:30.040 --> 01:57:36.680] And I believe on one of those episodes, Carl Sagan talks specifically about an axamander.
[01:57:29.760 --> 01:57:36.920] No way.
[01:57:37.320 --> 01:57:43.480] I believe it was in the context of the first thoughts about these kinds of things, including evolution.
[01:57:43.480 --> 01:57:46.360] So I'm going to say that that one's science.
[01:57:46.360 --> 01:57:49.400] If my recollection is correct, it might not be correct.
[01:57:49.400 --> 01:57:52.120] The second one about an antelope, right?
[01:57:52.600 --> 01:57:58.120] Oh my gosh, how could a North American antelope here be closely related to an African giraffe?
[01:57:58.120 --> 01:57:58.760] That's crazy.
[01:57:58.760 --> 01:58:03.480] Now, I think we've talked about situations before where there is that sort of disconnect.
[01:58:03.480 --> 01:58:16.200] Like you said, the manatee example, Kara, in which, you know, you wouldn't think, or like, I don't know, don't we share like a bunch of DNA with a sea anemone or a sponge or something, right?
[01:58:16.200 --> 01:58:23.880] So there's all sorts of weird play like that happening in the world between animals and things.
[01:58:23.880 --> 01:58:27.800] So I'm not surprised by that one, even though I don't have any hard knowledge on it.
[01:58:27.800 --> 01:58:33.320] And by the process of elimination, that means all I'm left with is the pterodactyl one, which I have no idea about.
[01:58:33.320 --> 01:58:37.080] But because that's all I'm left with to choose from, I have to go with that as the fiction.
[01:58:38.200 --> 01:58:39.080] All right.
[01:58:39.080 --> 01:58:41.640] So you're all in agreement on the antelope one.
[01:58:41.640 --> 01:58:42.440] So we'll start there.
[01:58:42.440 --> 01:58:48.440] The North American pronghorn antelope is actually most closely related to African giraffes.
[01:58:48.440 --> 01:58:54.600] You guys all think this one is science, and this one is science.
[01:58:54.600 --> 01:58:56.680] Yeah, this is kind of an easy call.
[01:58:57.000 --> 01:59:00.920] There's all kinds of screwed up taxonomy.
[01:59:00.920 --> 01:59:07.720] You could just have a whole list of things that are misnamed, or you would be shocked to find what they're most closely related to, etc.
[01:59:07.960 --> 01:59:14.600] Jay, you referred to the pronghorns, antlers, but they don't have antlers.
[01:59:14.600 --> 01:59:15.680] What are they have?
[01:59:14.920 --> 01:59:16.800] What are those things on their heads?
[01:59:17.200 --> 01:59:17.440] Horns.
[01:59:17.600 --> 01:59:18.080] Horns.
[01:59:18.560 --> 01:59:20.080] They're not really horns either.
[01:59:20.320 --> 01:59:21.040] Oh, okay.
[01:59:21.040 --> 01:59:21.680] They're not antlers.
[01:59:21.680 --> 01:59:22.400] They're not horns.
[01:59:22.400 --> 01:59:24.240] They are like rhinotez.
[01:59:24.400 --> 01:59:27.600] It's like fingernail material, isn't it?
[01:59:27.600 --> 01:59:28.240] Like dead cells.
[01:59:28.400 --> 01:59:29.760] Dead cells, a bunch of dead cells.
[01:59:30.000 --> 01:59:30.880] Is that what a horn is?
[01:59:30.880 --> 01:59:31.920] That's what a horn is.
[01:59:31.920 --> 01:59:32.720] Yeah, it's not a horn.
[01:59:33.680 --> 01:59:35.040] It's not an antler.
[01:59:36.400 --> 01:59:38.640] It's an outgrowth of bone.
[01:59:38.640 --> 01:59:39.200] Oh.
[01:59:39.200 --> 01:59:40.560] Oh, it's actual bone.
[01:59:40.560 --> 01:59:42.800] Just like on giraffes.
[01:59:43.120 --> 01:59:44.160] Oh, neat.
[01:59:44.160 --> 01:59:45.040] Wow.
[01:59:45.040 --> 01:59:45.680] Right?
[01:59:45.680 --> 01:59:46.160] Yeah.
[01:59:46.320 --> 01:59:47.920] They have the same thing.
[01:59:47.920 --> 01:59:50.800] What's the third animal, by the way, that's in that group?
[01:59:51.280 --> 01:59:54.960] What's the other animal that is most closely related to giraffes?
[01:59:54.960 --> 01:59:56.160] I think I might know that.
[01:59:56.160 --> 01:59:58.320] Oh, it's the Ocapi.
[01:59:58.720 --> 01:59:59.200] Okapi.
[01:59:59.520 --> 01:59:59.760] Yeah.
[01:59:59.760 --> 02:00:00.080] That's right.
[02:00:00.240 --> 02:00:01.200] Ocappy Ireland.
[02:00:02.320 --> 02:00:06.080] So it's not an antelope at all.
[02:00:07.680 --> 02:00:10.080] No, it looks like a zebra giraffe.
[02:00:10.400 --> 02:00:10.800] Right.
[02:00:11.440 --> 02:00:11.840] It does.
[02:00:11.840 --> 02:00:12.880] It looks like a zebra giraffe.
[02:00:12.960 --> 02:00:14.560] It's like a zebra deer, kind of.
[02:00:15.280 --> 02:00:19.280] Oh, and it's got those little horny things above its eyes.
[02:00:19.280 --> 02:00:20.320] I guess that's the same.
[02:00:20.800 --> 02:00:22.720] Those are those bony growths again.
[02:00:22.720 --> 02:00:23.280] Cool.
[02:00:23.280 --> 02:00:28.000] I could definitely see some giraffe in that bad boy for sure for the ocapi, anyway.
[02:00:28.080 --> 02:00:29.760] Oh, the okapi, definitely.
[02:00:29.760 --> 02:00:30.320] Yeah.
[02:00:30.320 --> 02:00:31.920] Those are the cute little ears.
[02:00:31.920 --> 02:00:33.520] Okay, let's go back.
[02:00:33.520 --> 02:00:34.640] Let's go back to number one.
[02:00:34.640 --> 02:00:43.120] Evolutionary ideas go back to ancient Greek philosophy, going back to Anaximander, who postulated survival of the fittest and that humans evolved from fish.
[02:00:43.120 --> 02:00:45.280] Bob, you think this one is the fiction.
[02:00:45.280 --> 02:00:47.680] Everyone else thinks this one is science.
[02:00:47.680 --> 02:00:51.920] And this one is science.
[02:00:51.920 --> 02:00:52.960] Sorry, Bob.
[02:00:52.960 --> 02:00:53.440] Whatever.
[02:00:53.440 --> 02:00:53.840] Yeah.
[02:00:53.840 --> 02:00:54.720] Wow, that's cool.
[02:00:54.720 --> 02:00:55.680] And it wasn't just him.
[02:00:55.680 --> 02:00:57.920] There were lots of guys back then, several.
[02:00:58.080 --> 02:01:00.000] Did they say survival of the fittest?
[02:01:01.240 --> 02:01:06.680] I don't know if they used that specific term, but that would threw you off by your wording.
[02:01:06.680 --> 02:01:07.240] Damn it.
[02:01:07.480 --> 02:01:10.760] But that's exactly what they were.
[02:01:10.920 --> 02:01:13.160] I mean, anyway, it was in Greek more than English.
[02:01:13.160 --> 02:01:15.880] But that's exactly what they were describing.
[02:01:15.880 --> 02:01:17.720] And it wasn't just like the strongest or whatever.
[02:01:17.720 --> 02:01:18.920] It was the most fit.
[02:01:19.880 --> 02:01:24.120] But of course, they didn't understand biology at the time.
[02:01:24.120 --> 02:01:34.040] So he thought there were like these primal forces in the universe and that these try different combinations and then the ones that work better survive longer.
[02:01:34.440 --> 02:01:39.000] But they did think that creatures evolve over time in this process.
[02:01:39.000 --> 02:01:43.160] It's almost like mix and match organs and stuff, I guess, is what they were thinking.
[02:01:43.480 --> 02:01:49.640] And he did think, and there were others who also thought that humans evolved from other creatures like fish.
[02:01:50.440 --> 02:01:58.840] It's amazing to think how long Judeo-Christian ideals, once they came on the scene, stymied this kind of thinking.
[02:01:58.840 --> 02:01:59.160] Right.
[02:01:59.480 --> 02:02:04.360] You know, even Darwin, like, it was, he was like, he didn't publish for years.
[02:02:05.080 --> 02:02:07.400] Because he was like, wanted to get it just right.
[02:02:07.400 --> 02:02:07.800] Yeah.
[02:02:07.800 --> 02:02:08.680] Yeah, I'm not going to do that.
[02:02:08.760 --> 02:02:09.240] Hey, Wallace.
[02:02:09.880 --> 02:02:11.960] Wallace is on your heels.
[02:02:11.960 --> 02:02:13.480] Oh, I better publish quick.
[02:02:13.480 --> 02:02:17.880] And they had fossils back then, mainly of marine life.
[02:02:17.880 --> 02:02:19.160] Yeah, I'm sure.
[02:02:19.160 --> 02:02:19.560] Yeah.
[02:02:19.560 --> 02:02:24.600] And then there was to come up with ideas about, well, where did these come from?
[02:02:24.600 --> 02:02:25.320] What are these?
[02:02:25.320 --> 02:02:26.120] You know?
[02:02:26.520 --> 02:02:27.960] Is that where a lot of that mythology?
[02:02:28.360 --> 02:02:33.080] So, sometimes mythology, but they also thought that this was a mineral.
[02:02:33.080 --> 02:02:39.800] That this is like, see, nature just creates these biological forms spontaneously.
[02:02:40.040 --> 02:02:41.240] Spontaneous generation.
[02:02:41.240 --> 02:02:41.720] Yeah.
[02:02:41.720 --> 02:02:48.640] A lot of interesting ideas, but there were definitely a lot of evolutionary thinking going back even to ancient Greek philosophy.
[02:02:44.760 --> 02:02:50.320] And it never went away.
[02:02:50.640 --> 02:02:56.960] You know, again, remember, like the pre-Darwin, Lamarck, right?
[02:02:56.960 --> 02:02:59.440] Lamarck was an evolutionist.
[02:02:59.600 --> 02:03:01.840] And Lamarck, he gets a bad rap.
[02:03:02.400 --> 02:03:03.040] That's remarkable.
[02:03:03.600 --> 02:03:08.000] He actually the idea of Lamarckian evolution existed before him.
[02:03:08.000 --> 02:03:12.960] He didn't really champion it, and he, by the end of his career, he had rejected it.
[02:03:13.280 --> 02:03:23.120] He set out to, so again, the idea that there's this inherent progress in evolution over time, he set out to show that that was the case.
[02:03:23.120 --> 02:03:30.800] But he did good science, he made good observations, and he actually proved the opposite and came around to it because that's what the evidence showed.
[02:03:32.080 --> 02:03:33.920] Sadly, that theory has his names.
[02:03:34.480 --> 02:03:36.480] That guy, man, I'd be so pissed at history.
[02:03:36.720 --> 02:03:37.680] Screw you, history.
[02:03:37.680 --> 02:03:39.280] Oh, he got totally screwed.
[02:03:39.280 --> 02:03:40.480] Totally screwed.
[02:03:40.480 --> 02:03:44.160] He's like, damn, if you look at the actual look at the fossils, he's a good scientist.
[02:03:44.400 --> 02:03:46.720] Everything is just adapting to its local environment.
[02:03:46.720 --> 02:03:47.840] It's all horizontal.
[02:03:47.840 --> 02:03:51.920] There's no progress inherent in the fossil record.
[02:03:51.920 --> 02:03:52.800] Beautiful.
[02:03:52.800 --> 02:03:53.200] Yeah.
[02:03:53.520 --> 02:03:54.800] But total bad rap.
[02:03:54.800 --> 02:03:55.760] Total bad rap.
[02:03:55.760 --> 02:03:56.320] All right.
[02:03:56.320 --> 02:03:57.520] We love you, Lamarck.
[02:03:57.760 --> 02:04:08.080] All of this means that, although not confirmed until recently, in retrospect, the oldest pterodactyl specimen was discovered in Germany in the 14th century is the fiction.
[02:04:09.120 --> 02:04:10.080] But I used that.
[02:04:10.080 --> 02:04:11.200] It wasn't random.
[02:04:11.360 --> 02:04:13.920] There were pterodactyls discovered in Germany.
[02:04:13.920 --> 02:04:22.560] In fact, the most complete pterodactyl specimen was discovered in Germany not too long ago, a few years ago.
[02:04:22.560 --> 02:04:28.240] And again, it's not unheard of that there were fossils discovered centuries ago.
[02:04:28.240 --> 02:04:36.280] You know, the first dinosaur fossil was named before we even knew that dinosaurs existed or that the word dinosaur existed.
[02:04:36.600 --> 02:04:38.280] And the species name still sticks.
[02:04:38.280 --> 02:04:42.280] The Megalosaurus was the first dinosaur fossil.
[02:04:42.680 --> 02:04:47.640] The species name still is Megalosaurus, even though we didn't know what it was at the time.
[02:04:47.640 --> 02:04:49.000] But it had precedence, right?
[02:04:49.000 --> 02:04:51.080] Because it was named.
[02:04:51.080 --> 02:04:57.880] I like to take topics that you know well and find nuances and nooks and crannies that are not general knowledge.
[02:04:57.880 --> 02:04:58.440] Yeah, screw you.
[02:04:58.600 --> 02:04:59.800] Serious, I guess.
[02:05:00.040 --> 02:05:01.160] When was this disco?
[02:05:01.320 --> 02:05:03.160] I mean, what about this was true?
[02:05:03.160 --> 02:05:04.120] Nothing.
[02:05:05.560 --> 02:05:06.760] You just made it up.
[02:05:07.800 --> 02:05:13.000] I just was riffing off the fact that there was a recent, really good pterodactyl specimen discovered in Germany.
[02:05:13.000 --> 02:05:14.120] That's hilarious.
[02:05:14.120 --> 02:05:15.640] All right, Evan, give us a quote.
[02:05:15.640 --> 02:05:32.680] Our illogical deference to the Earth's bounty has become so widespread that researchers had to give it a name, the appeal to nature fallacy, which occurs when we automatically assume something is better just because it's natural and likewise worse if it's not.
[02:05:33.000 --> 02:05:35.400] That was written by Rina Raphael.
[02:05:35.400 --> 02:05:41.640] Her book, The Gospel of Wellness, Jim's Gurus, Goop, and the False Promise of Self-Care.
[02:05:41.640 --> 02:05:48.920] And Rina Raphael will be joining us at SciCon 2024 this coming October, and we look forward to seeing you.
[02:05:49.240 --> 02:05:49.800] Absolutely.
[02:05:49.800 --> 02:05:56.920] And she got to correct the appeal to nature fallacy, not the naturalistic fallacy, which is something completely different.
[02:05:56.920 --> 02:05:57.480] There you go.
[02:05:57.480 --> 02:06:01.240] That's the well-ought confusion, the is-ought confusion.
[02:06:01.240 --> 02:06:04.520] This exists in nature, therefore it's the way we should be.
[02:06:04.840 --> 02:06:12.760] That's the naturalistic fallacy, as opposed to this is natural, therefore it's good and wholesome, and that's not natural, therefore it's bad and will kill you.
[02:06:12.760 --> 02:06:14.760] That's the appeal to nature fallacy.
[02:06:15.040 --> 02:06:20.240] And yes, I'm always enamored of any swipes against goop.
[02:06:23.120 --> 02:06:24.000] Absolutely.
[02:06:24.000 --> 02:06:24.720] A good target.
[02:06:24.880 --> 02:06:26.480] Worthy target, worthy target.
[02:06:26.480 --> 02:06:26.960] All right.
[02:06:26.960 --> 02:06:29.040] Well, thank you all for joining me this week.
[02:06:29.040 --> 02:06:29.600] Sure, man.
[02:06:30.000 --> 02:06:30.800] Thank you, Steve.
[02:06:30.800 --> 02:06:35.040] And until next week, this is your Skeptics Guide to the Universe.
[02:06:37.280 --> 02:06:43.920] Skeptics Guide to the Universe is produced by SGU Productions, dedicated to promoting science and critical thinking.
[02:06:43.920 --> 02:06:48.560] For more information, visit us at the skepticsguide.org.
[02:06:48.560 --> 02:06:52.560] Send your questions to info at the skepticsguide.org.
[02:06:52.560 --> 02:07:03.200] And if you would like to support the show and all the work that we do, go to patreon.com/slash skepticsguide and consider becoming a patron and becoming part of the SGU community.
[02:07:03.200 --> 02:07:06.640] Our listeners and supporters are what make SGU possible.
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Prompt 10: Key Takeaways

Now please extract the key takeaways from the transcript content I provided.

Extract the most important key takeaways from this part of the conversation. Use a single sentence statement (the key takeaway) rather than milquetoast descriptions like "the hosts discuss...". 

Limit the key takeaways to a maximum of 3. The key takeaways should be insightful and knowledge-additive. 

IMPORTANT: Return ONLY valid JSON, no explanations or markdown. Ensure:
- All strings are properly quoted and escaped
- No trailing commas
- All braces and brackets are balanced
Format: {"key_takeaways": ["takeaway 1", "takeaway 2"]}

Prompt 11: Segments

Now identify 2-4 distinct topical segments from this part of the conversation.

For each segment, identify:
- Descriptive title (3-6 words)  
- START timestamp when this topic begins (HH:MM:SS format)
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Most important Key takeaway from that segment. Key takeaway must be specific and knowledge-additive.
- Brief summary of the discussion

IMPORTANT: The timestamp should mark when the topic/segment STARTS, not a range. Look for topic transitions and conversation shifts.

Return ONLY valid JSON. Ensure all strings are properly quoted, no trailing commas:
{
  "segments": [
    {
      "segment_title": "Topic Discussion", 
      "timestamp": "01:15:30",
      "key_takeaway": "main point from this segment",
      "segment_summary": "brief description of what was discussed"
    }
  ]
}

Timestamp format: HH:MM:SS (e.g., 00:05:30, 01:22:45) marking the START of each segment.

Prompt 12: Media Mentions

Now scan the transcript content I provided for ACTUAL mentions of specific media titles:

Find explicit mentions of:
- Books (with specific titles)
- Movies (with specific titles)  
- TV Shows (with specific titles)
- Music/Songs (with specific titles)

DO NOT include:
- Websites, URLs, or web services
- Other podcasts or podcast names

IMPORTANT: 
- Only include items explicitly mentioned by name. Do not invent titles.
- Valid categories are: "Book", "Movie", "TV Show", "Music"
- Include the exact phrase where each item was mentioned
- Find the nearest proximate timestamp where it appears in the conversation
- THE TIMESTAMP OF THE MEDIA MENTION IS IMPORTANT - DO NOT INVENT TIMESTAMPS AND DO NOT MISATTRIBUTE TIMESTAMPS
- Double check that the timestamp is accurate - a timestamp will NEVER be greater than the total length of the audio
- Timestamps are given as ranges, e.g. 01:13:42.520 --> 01:13:46.720. Use the EARLIER of the 2 timestamps in the range.

Return ONLY valid JSON. Ensure all strings are properly quoted and escaped, no trailing commas:
{
  "media_mentions": [
    {
      "title": "Exact Title as Mentioned",
      "category": "Book",
      "author_artist": "N/A",
      "context": "Brief context of why it was mentioned",
      "context_phrase": "The exact sentence or phrase where it was mentioned",
      "timestamp": "estimated time like 01:15:30"
    }
  ]
}

If no media is mentioned, return: {"media_mentions": []}

Full Transcript

[00:00:01.040 --> 00:00:06.640] 16 years from today, Greg Gerstner will finally land the perfect cannonball.
[00:00:06.960 --> 00:00:10.000] Epic Splash, unsuspecting friends.
[00:00:10.000 --> 00:00:21.920] A work of art only possible because Greg is already meeting all these same people at AARP volunteer and community events that keep him active and involved and help make sure his happiness lives as long as he does.
[00:00:21.920 --> 00:00:25.840] That's why the younger you are, the more you need AARP.
[00:00:25.840 --> 00:00:29.680] Learn more at AARP.org/slash local.
[00:00:33.200 --> 00:00:36.480] You're listening to the Skeptic's Guide to the Universe.
[00:00:36.480 --> 00:00:39.440] Your escape to reality.
[00:00:40.080 --> 00:00:42.800] Hello, and welcome to The Skeptic's Guide to the Universe.
[00:00:42.800 --> 00:00:45.680] Today is Wednesday, July 10th, 2024.
[00:00:45.840 --> 00:00:47.600] This is your host, Stephen Novella.
[00:00:47.600 --> 00:00:49.360] Joining me this week are Bob Novella.
[00:00:49.360 --> 00:00:50.000] Hey, everybody.
[00:00:50.000 --> 00:00:51.440] Kara Santa Maria.
[00:00:51.440 --> 00:00:51.920] Howdy.
[00:00:51.920 --> 00:00:52.960] Jay Novella.
[00:00:52.960 --> 00:00:53.680] Hey, guys.
[00:00:53.680 --> 00:00:55.360] And Evan Bernstein.
[00:00:55.360 --> 00:00:57.280] Happy birthday, Nikolai Tesla.
[00:00:57.280 --> 00:00:59.520] I didn't get you anything, so hope you don't hold that against me.
[00:00:59.600 --> 00:01:00.880] Didn't you get him a Tesla?
[00:01:00.880 --> 00:01:01.760] No, I didn't.
[00:01:01.760 --> 00:01:03.440] Or I got him a cage, though.
[00:01:03.440 --> 00:01:03.680] Okay.
[00:01:03.760 --> 00:01:04.400] Thought he could use it.
[00:01:05.840 --> 00:01:07.200] So I had to go to court today.
[00:01:07.200 --> 00:01:08.720] Always an interesting experience.
[00:01:08.720 --> 00:01:09.440] Wow.
[00:01:09.440 --> 00:01:10.480] What's going on?
[00:01:10.480 --> 00:01:11.600] Nothing to do with me.
[00:01:11.600 --> 00:01:14.000] I just had to appear as a material witness.
[00:01:14.080 --> 00:01:15.360] Can't really go into the details.
[00:01:15.680 --> 00:01:17.280] Well, then it did have to do with you.
[00:01:17.280 --> 00:01:18.480] I had to appear as a material witness.
[00:01:18.640 --> 00:01:20.000] It had to do with a patient, probably.
[00:01:20.000 --> 00:01:20.640] Yeah, probably.
[00:01:20.640 --> 00:01:22.000] Yeah, but we don't know.
[00:01:22.160 --> 00:01:22.640] Good service.
[00:01:22.800 --> 00:01:24.240] That's a good guess, though, right?
[00:01:24.880 --> 00:01:26.320] I find courtrooms fascinating.
[00:01:26.800 --> 00:01:31.680] On one level, it's basically a logical sparring, right?
[00:01:31.680 --> 00:01:33.040] So what's not to love about that?
[00:01:33.040 --> 00:01:34.800] You know, like there's rules.
[00:01:34.800 --> 00:01:37.520] It's all based upon logic and evidence.
[00:01:37.520 --> 00:01:39.680] And like the lawyers are playing their game.
[00:01:39.680 --> 00:01:40.800] You know what I mean?
[00:01:40.800 --> 00:01:44.480] But on the other hand, it is so incredibly tedious.
[00:01:44.480 --> 00:01:49.120] Because they have to go through things in sort of technical detail.
[00:01:49.120 --> 00:01:49.760] It's part of the rules.
[00:01:49.920 --> 00:01:50.560] I mean, I know.
[00:01:51.360 --> 00:01:52.560] There's so much bureaucracy.
[00:01:52.880 --> 00:01:54.000] I know it's just a lot of bureaucracy.
[00:01:54.000 --> 00:01:55.680] I'm watching the jury.
[00:01:55.680 --> 00:01:59.160] I'm like, God, they must be bored out of their sick calls.
[00:01:59.480 --> 00:02:02.120] Because it was all these medical minutiae.
[00:01:58.800 --> 00:02:05.640] And like half the time, I had no idea what the lawyers were going for.
[00:02:06.760 --> 00:02:12.840] And I guess in their head, they had some legal reason why they wanted to establish something or whatever.
[00:02:13.080 --> 00:02:17.160] But it's like, you know, it's like, oh, just going through all this absolute tedium.
[00:02:17.160 --> 00:02:19.080] Yeah, it's really not like it is on TV, is it?
[00:02:19.080 --> 00:02:19.560] Oh, my God.
[00:02:19.560 --> 00:02:22.840] It's so 100% not like it is on TV.
[00:02:24.120 --> 00:02:26.600] Like full of gotcha edge of your seat moments.
[00:02:27.160 --> 00:02:28.520] There's no gotchas.
[00:02:28.520 --> 00:02:29.160] You know what I mean?
[00:02:29.560 --> 00:02:33.320] By definition, because there's something called discovery.
[00:02:33.640 --> 00:02:34.600] You have to turn.
[00:02:34.600 --> 00:02:37.320] And then surprise witness number four.
[00:02:37.720 --> 00:02:40.760] Depose the, you know, the other witnesses.
[00:02:40.760 --> 00:02:44.360] So it's designed for there to be zero surprises.
[00:02:44.360 --> 00:02:45.480] You know what I mean?
[00:02:46.040 --> 00:02:47.000] Boring.
[00:02:47.000 --> 00:02:47.560] I don't know.
[00:02:47.560 --> 00:02:51.880] Someone might think the scientific method is boring in the same way, but that's the way it goes.
[00:02:51.960 --> 00:02:53.000] Oh, yeah, it's a method.
[00:02:53.000 --> 00:02:53.800] I'm just saying.
[00:02:53.800 --> 00:02:56.920] Again, it's fascinating on one level, but yeah.
[00:02:57.080 --> 00:02:59.400] I guess it is like science because science is fascinating.
[00:02:59.400 --> 00:03:03.880] But do you really want to stand in a lab all day and watch people run gels or whatever?
[00:03:03.880 --> 00:03:05.960] I mean, there's tremendous tedium.
[00:03:06.600 --> 00:03:07.240] Oh, yeah.
[00:03:07.560 --> 00:03:21.320] I remember back when I had a Wii, I bought this game in like the bargain bucket at a GameStop back in the day, and it was like a lab science game, and I was playing it with my friends, and then I just like got up and walked off, and they were like, what?
[00:03:21.320 --> 00:03:23.080] And I was like, this is so triggering.
[00:03:23.080 --> 00:03:24.520] I just feel like I'm at work.
[00:03:25.640 --> 00:03:27.560] Why would I play this game?
[00:03:28.520 --> 00:03:30.200] Only if you're earning credits or something.
[00:03:30.520 --> 00:03:31.400] Not fun.
[00:03:31.400 --> 00:03:33.160] Yeah, I don't get sim games.
[00:03:33.160 --> 00:03:34.520] Yeah, not fun.
[00:03:34.520 --> 00:03:34.840] No?
[00:03:34.840 --> 00:03:35.560] Sim games?
[00:03:35.560 --> 00:03:36.120] Like what?
[00:03:36.120 --> 00:03:36.920] Like the sims?
[00:03:36.920 --> 00:03:37.240] Yeah.
[00:03:37.560 --> 00:03:37.880] I don't know.
[00:03:37.520 --> 00:03:40.280] No, no, they're not civilization building games.
[00:03:40.280 --> 00:03:48.880] Yeah, I mean, I'm okay with games that are resource management if that's part of the game, but if that's the entire game is resource management.
[00:03:49.200 --> 00:03:58.000] Just I have had these moments playing those sorts of games when I'm like managing or something or building something or whatever.
[00:03:58.000 --> 00:04:01.920] And I'm thinking to myself, I could be doing this to my real house.
[00:04:01.920 --> 00:04:02.480] Right now.
[00:04:02.800 --> 00:04:04.080] Right, exactly.
[00:04:05.600 --> 00:04:11.840] Why am I so fastidious about this virtual thing only I am ever going to see?
[00:04:13.120 --> 00:04:17.360] But it's okay if it's like, you know, you kill stuff for a while, then say, oh, now I'm going to build my resources.
[00:04:17.360 --> 00:04:19.520] You know, it kind of flows back and forth.
[00:04:19.520 --> 00:04:20.880] Those games are good.
[00:04:22.080 --> 00:04:25.200] I need some first-person action, though, to break up the TV.
[00:04:25.520 --> 00:04:26.480] Back to court, though.
[00:04:26.480 --> 00:04:27.840] Do you have to go back to court?
[00:04:28.160 --> 00:04:29.840] No, that was one and done.
[00:04:29.840 --> 00:04:32.320] Actually, I went last week.
[00:04:32.320 --> 00:04:32.960] I get there.
[00:04:32.960 --> 00:04:34.960] They're like, they bumped you.
[00:04:35.280 --> 00:04:35.920] Oh, no.
[00:04:37.360 --> 00:04:38.320] Meaning they don't need you.
[00:04:38.560 --> 00:04:41.040] Well, it's the schedule thing, whatever.
[00:04:41.040 --> 00:04:42.160] Did you have to travel far?
[00:04:42.160 --> 00:04:44.160] You don't have to say where you went, but did you have to travel far?
[00:04:44.400 --> 00:04:44.960] A half hour.
[00:04:44.960 --> 00:04:45.920] Not too hard far.
[00:04:46.480 --> 00:04:49.040] And then they had to reschedule.
[00:04:49.040 --> 00:04:54.480] I only have one free chunk of time in my week, and it's Wednesday afternoon.
[00:04:54.960 --> 00:04:55.440] Yeah, that's right.
[00:04:56.240 --> 00:05:00.080] It feats into our live stream that we do on Wednesday afternoon.
[00:05:00.080 --> 00:05:02.160] And my prep time, but I'm sitting there.
[00:05:03.360 --> 00:05:04.800] Well, that goes into your bill, right?
[00:05:05.120 --> 00:05:05.920] No, that's the thing.
[00:05:05.920 --> 00:05:07.680] It must be so frustrating.
[00:05:07.680 --> 00:05:09.120] That's what I was going to say.
[00:05:09.120 --> 00:05:13.200] When you're a material witness, it's completely different than being an expert witness.
[00:05:13.520 --> 00:05:17.920] When you're an expert witness, like, you know, I've worked for forensic psychologists before who do this.
[00:05:17.920 --> 00:05:22.320] They get paid to review records, to go up and give a professional opinion.
[00:05:22.320 --> 00:05:24.800] They have these large retainers.
[00:05:24.800 --> 00:05:26.320] It's like, it can be lucrative.
[00:05:26.320 --> 00:05:27.200] Oh, you get paid well.
[00:05:27.200 --> 00:05:27.440] Yeah.
[00:05:27.760 --> 00:05:27.920] Yeah.
[00:05:28.480 --> 00:05:35.880] As a material witness, you're not doing the exact same thing, but for some intents and purposes, you are doing something similar.
[00:05:36.200 --> 00:05:41.080] But because you were called, you were subpoenaed, you don't get paid.
[00:05:41.080 --> 00:05:43.000] You just get inconvenienced.
[00:05:43.000 --> 00:05:43.640] That's right.
[00:05:43.640 --> 00:05:44.120] That's tough.
[00:05:44.280 --> 00:05:45.320] Pure inconvenience.
[00:05:46.520 --> 00:05:47.080] Oh, man.
[00:05:47.080 --> 00:05:51.320] And they never asked me the one question I most thought they were going to ask me.
[00:05:51.320 --> 00:05:52.840] Oh, that's fascinating.
[00:05:52.840 --> 00:05:54.920] Did you work in the answer to another question?
[00:05:54.920 --> 00:05:55.560] Yeah, no.
[00:05:56.120 --> 00:05:59.480] The thing is, when you're an expert witness, this is the big difference.
[00:05:59.480 --> 00:06:02.840] You're an expert witness, you can say whatever you want, right?
[00:06:02.840 --> 00:06:13.640] When they ask a question, you can say whatever you feel you need to say in order to give context to that question and educate the jury about that question.
[00:06:13.640 --> 00:06:18.440] But when you're a material witness, you do have to just answer the question they ask you, right?
[00:06:18.920 --> 00:06:21.560] Oh, wow, that's a really, I've never heard that distinction.
[00:06:21.720 --> 00:06:23.160] Oh, yeah, it's a big distinction.
[00:06:23.160 --> 00:06:26.200] You are in charge when you're an expert witness, right?
[00:06:26.200 --> 00:06:34.040] And the judge could, you know, between the judge and the expert witness, the judge could say, you know, tell us more about this or go on, keep talking, whatever.
[00:06:34.040 --> 00:06:38.040] Like, they'll just give you, they give you really wide free range, you know.
[00:06:38.040 --> 00:06:43.560] The attorneys can object if, but it's usually objecting to the other guy's question.
[00:06:43.560 --> 00:06:45.560] Like, they want to go in an area.
[00:06:45.560 --> 00:06:48.760] But they, but expert witnesses are given massive latitude.
[00:06:48.760 --> 00:06:53.880] Material witnesses are like, if you get asked a yes or no question, your answer is yes or no, and that's it.
[00:06:53.880 --> 00:06:56.120] You don't elaborate or whatever.
[00:06:56.120 --> 00:07:00.440] Yes, but just to answer the question.
[00:07:00.760 --> 00:07:13.320] But, you know, this was a little different because even though I was a material witness, because this is a medical case and I'm a physician, they almost treated me like an expert witness in terms of giving me latitude.
[00:07:13.800 --> 00:07:18.160] And they asked me a lot of questions that you would only ask of an expert witness.
[00:07:18.720 --> 00:07:21.120] Like, what's your understanding of this scientific topic?
[00:07:21.120 --> 00:07:21.600] You know what I mean?
[00:07:22.080 --> 00:07:25.520] It was not an idea.
[00:07:25.760 --> 00:07:27.040] It wasn't just what happened.
[00:07:27.280 --> 00:07:29.200] It was, yeah, tell me what you think about this.
[00:07:29.200 --> 00:07:32.000] Because that's part of the case.
[00:07:32.560 --> 00:07:34.080] Your professional opinion.
[00:07:34.080 --> 00:07:37.760] Yes, my professional opinion was relevant to the case.
[00:07:37.760 --> 00:07:38.080] Right.
[00:07:38.080 --> 00:07:41.040] So it was kind of a hybrid.
[00:07:42.320 --> 00:07:50.080] I mean, that's, you know, it's interesting because, as an expert witness, you could probably talk for almost as long as you want.
[00:07:50.480 --> 00:07:51.040] Pretty much.
[00:07:51.040 --> 00:07:57.920] I mean, I guess the judge would cut you off at some point, and you probably wouldn't get a lot of gigs if you went off on a relevant tangent.
[00:07:58.400 --> 00:08:01.040] Who gets to decide who qualifies as an expert witness?
[00:08:01.200 --> 00:08:02.000] The court does.
[00:08:02.320 --> 00:08:06.560] Wow, so they could really make a bad choice and bring in someone who's not really an expert.
[00:08:08.160 --> 00:08:12.160] Both sides have to stipulate that they agree that that person's an expert.
[00:08:12.480 --> 00:08:15.680] And the other attorney can always challenge you, right?
[00:08:15.680 --> 00:08:17.840] So that's like the first thing that happens.
[00:08:17.840 --> 00:08:26.880] Like when you take the stand as an expert witness, is they challenge your credentials, they challenge your objectivity, blah, blah, blah.
[00:08:26.880 --> 00:08:30.880] They did whatever they can to tear you down in front of the jury.
[00:08:30.880 --> 00:08:42.240] And then with, you know, the attorney who hired you may object or try to defend you, but bottom line is they're going to ask you, they're going to try to make it seem like you're not a reliable expert.
[00:08:42.720 --> 00:08:43.920] When did you stop beating your wife?
[00:08:44.080 --> 00:08:52.640] But the court and both attorneys have to stipulate that you are a recognized, that a court recognizes you as an expert in whatever field, right?
[00:08:52.640 --> 00:08:57.440] And with every, that's the other thing, it has to have a very narrow field in which you are an expert.
[00:08:57.440 --> 00:09:00.280] Like, you are called for this question, right?
[00:09:00.280 --> 00:09:09.000] So, like, for example, I've been called as an expert neurologist who's commenting on causality.
[00:09:09.000 --> 00:09:13.480] And that's the only thing I'm commenting on, meaning, did A cause B?
[00:09:13.480 --> 00:09:18.040] I'm not commenting on is what they did malpractice.
[00:09:18.040 --> 00:09:22.520] Or, but I may be asked to comment on the standard of care.
[00:09:23.400 --> 00:09:25.240] Is what they did within the standard of care.
[00:09:25.240 --> 00:09:34.040] So, whatever it is, an expert might be hired, like within a medical context, to comment on that's they are restricted to that, right?
[00:09:34.040 --> 00:09:35.480] Whatever, whatever it is.
[00:09:35.480 --> 00:09:39.560] But within that, yeah, you could say whatever you feel you need to.
[00:09:40.040 --> 00:09:44.680] So, the lawyer who's answering, who's asking you questions can't hem you in.
[00:09:44.680 --> 00:09:45.240] You know what I mean?
[00:09:45.240 --> 00:09:52.440] They can't play the game of that, yeah, did you stop beating your wife type of question, like asking a leading question.
[00:09:52.440 --> 00:09:58.120] You know, so you're supposed to still, like, if they ask you a question, like, are you familiar with this?
[00:09:58.120 --> 00:10:05.080] You're supposed to just say yes, and then they could ask, tell me, then they'll ask you the follow-up question, tell me about this.
[00:10:05.480 --> 00:10:11.480] Right, so there is sort of, there is still sort of a protocol to like how you answer questions.
[00:10:11.480 --> 00:10:24.600] But if they stop there, you could say, but, and then just go off on whatever, like you, they can't trap you by cleverly asking questions that hem in your answer.
[00:10:24.920 --> 00:10:29.320] But the lawyer on the other side can object, yeah, but they have to have a legitimate reason to object.
[00:10:29.720 --> 00:10:36.360] They can't object, I object, the guy I hired isn't doing a good job, you know, on the other side, uh, yeah, yeah.
[00:10:36.360 --> 00:10:38.320] Well, whoever's not asking the question.
[00:10:38.560 --> 00:10:39.000] Exactly.
[00:10:39.000 --> 00:10:40.920] They can object and say, you know, whatever.
[00:10:42.200 --> 00:10:42.680] I don't know.
[00:10:43.000 --> 00:10:44.640] And they get to cross-question you, right?
[00:10:44.280 --> 00:10:50.720] Then they cross, then they could redirect, you know, that goes back and forth a few times until everybody's happy.
[00:10:44.520 --> 00:10:51.840] Everybody's happy.
[00:10:52.080 --> 00:10:53.120] Sequestered the jury?
[00:10:54.400 --> 00:10:55.600] They do do that.
[00:10:55.920 --> 00:10:57.280] That happened today.
[00:10:57.280 --> 00:10:57.680] Oh, no.
[00:10:58.800 --> 00:11:07.600] Sequester the jury, but they sent the jury out of the room or they delayed bringing them into the room in order to work out some behind.
[00:11:07.600 --> 00:11:09.760] Yeah, they had to work out some details that you can't.
[00:11:09.920 --> 00:11:13.440] The whole point was: should the jury be exposed to this piece of information?
[00:11:13.440 --> 00:11:16.000] You can't have that conversation in front of the jury.
[00:11:16.000 --> 00:11:26.160] So those conversations happen either before the jury gets there or they, at one point, they literally, they did send the jury away so we could resolve a should the jury hear this type question.
[00:11:26.400 --> 00:11:29.200] It just takes more time away from the, you know.
[00:11:30.000 --> 00:11:30.560] That's the point.
[00:11:31.440 --> 00:11:33.040] Yeah, it took a long time.
[00:11:33.040 --> 00:11:33.600] All right.
[00:11:33.600 --> 00:11:40.160] It's an imperfect system, but it's the system that we're but at least there are rules of evidence and rules of logic.
[00:11:40.160 --> 00:11:43.360] And that's what that's honestly what makes the system work.
[00:11:43.360 --> 00:11:47.280] You know, you can't just make any crack-ass argument that you want, you know.
[00:11:47.280 --> 00:11:47.920] Right.
[00:11:47.920 --> 00:11:51.200] Unlike, say, every other sphere of life, pretty much.
[00:11:52.800 --> 00:11:53.840] All right, let's go on.
[00:11:53.840 --> 00:11:56.960] Evan, you're going to start us off with the dumbest thing of the week.
[00:11:56.960 --> 00:11:59.040] Yes, the dumbest thing of the week.
[00:11:59.040 --> 00:12:02.560] And here to sing the song is Cara Santa Maria.
[00:12:02.560 --> 00:12:03.600] Take it away, Kara.
[00:12:03.600 --> 00:12:04.320] Nope.
[00:12:04.320 --> 00:12:05.040] Nope.
[00:12:05.040 --> 00:12:05.360] Okay.
[00:12:05.760 --> 00:12:07.760] That's a hard pass right there.
[00:12:09.040 --> 00:12:09.680] Ouch.
[00:12:10.000 --> 00:12:12.640] I don't want to take all the fun every time I do this.
[00:12:12.640 --> 00:12:17.200] I'm going to offer it up to my wonderful co-hosts as I go through these.
[00:12:17.200 --> 00:12:19.040] So I just want to give you guys the chance.
[00:12:19.840 --> 00:12:21.840] Just, you know, sharing is caring, right?
[00:12:22.320 --> 00:12:28.000] I learned this from a radio show host back in the day who would present a news item this way.
[00:12:28.000 --> 00:12:32.920] And what they would do, they read the article, kind of in its entirety, in its context.
[00:12:32.920 --> 00:12:35.560] And don't worry, this one's not really a long article.
[00:12:35.560 --> 00:12:40.760] But as I go through this, I'm going to pause a couple of times along the way to make some points.
[00:12:40.760 --> 00:12:46.600] And these points are sort of like the first things that popped into my head as I first read this article.
[00:12:46.600 --> 00:12:47.160] Okay?
[00:12:47.160 --> 00:12:48.120] So here we go.
[00:12:48.120 --> 00:12:53.400] The recent headline, and I saw this first at the website called Interesting Engineering.
[00:12:53.400 --> 00:13:01.480] And this was about a week and a half ago, but since then, like in the last two or three days, it's really been on a lot of news sites elsewhere.
[00:13:01.480 --> 00:13:03.080] But this is where I first read it.
[00:13:03.080 --> 00:13:07.400] And the article's author, his name is Aman Tripathi.
[00:13:07.400 --> 00:13:07.960] Okay?
[00:13:07.960 --> 00:13:15.960] Here's the headline: Civil servant robot, quote, commits suicide, comma, deadly plunge under probe.
[00:13:15.960 --> 00:13:25.080] And here's the sub-headline: Witnesses saw the robot erratically circling before its fall, sparking speculation about the cause.
[00:13:25.640 --> 00:13:29.240] I'm going to pause here for a second and throw this in.
[00:13:29.240 --> 00:13:35.720] Of the five of us, I think I consider myself, and again, of the five of us, the Luddite of the group.
[00:13:35.720 --> 00:13:37.640] And I admit that freely.
[00:13:38.760 --> 00:13:40.120] I know enough about technology.
[00:13:40.120 --> 00:13:46.680] I'm able to use enough of it to still function in 2024, but I am no, by no means the most technically savvy person.
[00:13:46.680 --> 00:14:03.240] But if I saw a robot acting erratically, I mean, maybe the 7,000th reason I could think of as to why a machine is malfunctioning is that the machine was somehow programmed with the ability to end its function by seeking Leader actively fall off a surface, right?
[00:14:03.240 --> 00:14:08.040] I mean, but again, that's just me, the Luddite, thinking aloud.
[00:14:08.360 --> 00:14:10.120] So back to the article.
[00:14:10.120 --> 00:14:26.000] A first-of-its-kind incident has shocked the world after a civil servant robot at Gumi City Council in South Korea was found unresponsive after what appears to be a deliberate plunge down a two-meter staircase.
[00:14:26.000 --> 00:14:27.920] All right, I'm going to pause again.
[00:14:27.920 --> 00:14:32.320] Found unresponsive and deliberate plunge.
[00:14:32.640 --> 00:14:36.080] Ah, that's called anthropomorphizing, I think.
[00:14:36.080 --> 00:14:36.720] A little bit.
[00:14:37.040 --> 00:14:39.680] Maybe a new level of it as far as I'm concerned.
[00:14:39.680 --> 00:14:41.040] But back to the article.
[00:14:41.040 --> 00:14:46.720] Local media and social media users have called it the first robot suicide in the country.
[00:14:46.720 --> 00:14:52.800] The robot, affectionately known as the robot supervisor, had been a model employee.
[00:14:52.800 --> 00:14:56.080] Yeah, and I'm sure they intended no pun there, but I saw the pun.
[00:14:56.080 --> 00:14:58.080] A model employee, since it's a point.
[00:14:58.240 --> 00:14:59.120] What model number was that?
[00:14:59.440 --> 00:15:00.160] 23.
[00:15:00.160 --> 00:15:01.520] Exactly, Bob, right?
[00:15:01.520 --> 00:15:02.960] Model employee.
[00:15:03.200 --> 00:15:06.160] Here's a quote: It was officially part of the city hall.
[00:15:06.160 --> 00:15:09.680] It was one of us, an unnamed official said.
[00:15:09.680 --> 00:15:12.240] They described it as a diligent worker.
[00:15:13.280 --> 00:15:22.880] The officials stated that the robot worked diligently and handling daily document deliveries, city promotion, and information dissemination to local residents.
[00:15:22.880 --> 00:15:33.680] Witnesses reported seeing the robot, quote, circling in one spot as if something was there, end quote, shortly before the incident, sparking speculation about the cause of the fall.
[00:15:33.680 --> 00:15:44.240] Some experts have suggested that the robot may have experienced an emotional breakdown due to the stress of its workload, while others believe a technical malfunction could be to blame.
[00:15:44.240 --> 00:15:45.840] So let's pause for that, right?
[00:15:45.840 --> 00:15:47.960] Emotional stress.
[00:15:47.960 --> 00:15:49.280] Emotions?
[00:15:49.280 --> 00:15:52.720] I mean, was this machine really programmed for emotions?
[00:15:52.720 --> 00:15:55.200] Is that what we're being told?
[00:15:55.200 --> 00:16:01.640] I mean, even if somebody said that they programmed something to have emotions, it doesn't actually have emotions.
[00:15:59.840 --> 00:16:04.600] Well, right, Jay, that's definitely a valid point.
[00:16:04.760 --> 00:16:08.840] And, Bob, your point as well, right, is that.
[00:16:09.480 --> 00:16:10.840] Oh, is this an onion article?
[00:16:10.840 --> 00:16:13.000] I mean, it sounds like an onion article.
[00:16:13.320 --> 00:16:14.680] And, Bob, absolutely.
[00:16:14.680 --> 00:16:15.960] I had to stop.
[00:16:15.960 --> 00:16:19.720] I stopped in the middle of the article to make sure this was not satire or something, right?
[00:16:19.720 --> 00:16:21.320] I looked elsewhere to make sure.
[00:16:21.320 --> 00:16:22.360] I'm like, what am I?
[00:16:22.360 --> 00:16:24.200] Am I really reading this correctly?
[00:16:24.280 --> 00:16:31.320] No, this is an article in a what appears to be a technical site.
[00:16:31.320 --> 00:16:37.400] And certainly all the news articles that have come out more recently about this are treating this as the same.
[00:16:37.400 --> 00:16:38.680] So, no, this is real.
[00:16:38.680 --> 00:16:39.560] Back to the article.
[00:16:39.560 --> 00:16:43.560] The exact circumstances leading to the robot's demise are under investigation.
[00:16:43.560 --> 00:16:47.560] Pieces have been collected and will be analyzed by the company, the official said.
[00:16:47.560 --> 00:16:48.280] So, yeah.
[00:16:48.440 --> 00:16:49.960] Mysterious circumstances.
[00:16:49.960 --> 00:16:55.160] The incident has sparked a wave of mourning and curiosity across the nation.
[00:16:55.240 --> 00:16:57.080] Nation of South Korea, I suppose.
[00:16:57.080 --> 00:17:05.160] Local media headlines questioned the apparent robot suicide, asking, why did the diligent civil officer do it?
[00:17:05.480 --> 00:17:08.840] And was it working too hard for the robot?
[00:17:08.840 --> 00:17:20.360] Social media has been a buzz with reactions ranging from poignant tributes to the fallen robot to serious discussions about the ethical implications of AI sentience and the potential for robot suffering.
[00:17:20.360 --> 00:17:27.880] Now, talking about its equality, the robot was unique in its ability to call an elevator and move between floors autonomously.
[00:17:27.880 --> 00:17:28.440] Whoa.
[00:17:28.440 --> 00:17:30.200] It reportedly worked from 9 a.m.
[00:17:30.200 --> 00:17:34.280] to 6 p.m., and even had its own civil service officer card.
[00:17:34.280 --> 00:17:35.160] Aw, cute.
[00:17:35.160 --> 00:17:36.200] Yeah, very cute.
[00:17:36.200 --> 00:17:36.920] Very cute.
[00:17:36.920 --> 00:17:44.680] You see, but the point is that they're making here is that the robot uses the elevator to move between its floors autonomously.
[00:17:44.960 --> 00:17:50.080] Why would it even ever consider going anywhere near a staircase, you see, right?
[00:17:50.720 --> 00:17:54.960] Other than was it, did it have other intentions?
[00:17:54.960 --> 00:17:58.880] And then finishing up, robots, robot, robotics, and ethical concerns.
[00:17:58.880 --> 00:18:05.280] Notably, South Korea is a global leader in robotics at adoption, and it boasts the highest robot density in the world.
[00:18:05.280 --> 00:18:11.760] With one industrial robot for every 10 employees, the nation has embraced automation in various sectors from manufacturing to public service.
[00:18:11.840 --> 00:18:12.560] More than Japan?
[00:18:12.880 --> 00:18:17.920] Apparently, so as a representation of the population.
[00:18:17.920 --> 00:18:20.080] So that's the, yeah, that's the article.
[00:18:20.080 --> 00:18:20.320] All right.
[00:18:20.320 --> 00:18:23.680] And there's a lot to say about this as far as I'm concerned.
[00:18:23.680 --> 00:18:27.920] And I know not everyone is going to have my take on this particular one.
[00:18:27.920 --> 00:18:30.880] And I do not mean offense to any person.
[00:18:31.200 --> 00:18:36.800] But for once, I'm standing up for the Luddites everywhere when I proclaim that this is the dumbest thing of the week.
[00:18:36.800 --> 00:18:37.920] Take it away, folks.
[00:18:38.240 --> 00:18:49.760] Dude, I really have to rethink now when my Roomba is usually pretty good at avoiding stairs, but every now and then I find it had gone over the step.
[00:18:49.760 --> 00:18:54.640] And now I'm thinking, maybe, you know, maybe I'm just using it too much and putting too much stress on it.
[00:18:54.640 --> 00:18:56.000] And it's trying to kill itself.
[00:18:56.000 --> 00:18:57.040] Like, wow.
[00:18:57.680 --> 00:18:59.280] Is this where we're really going?
[00:18:59.280 --> 00:19:00.000] Yes, it is.
[00:19:00.000 --> 00:19:02.720] I mean, people personify things, you know?
[00:19:03.120 --> 00:19:03.680] Yes, they do.
[00:19:03.680 --> 00:19:04.000] Dog.
[00:19:04.080 --> 00:19:08.320] Well, this is just deliberate, stupid sensationalism from news outlets.
[00:19:08.880 --> 00:19:09.680] Okay, here, here's.
[00:19:09.920 --> 00:19:11.040] Nobody believes this.
[00:19:11.040 --> 00:19:13.280] Here's my weird take as a psychologist.
[00:19:13.280 --> 00:19:31.880] It is important to think about these things because the way that we treat technology is in some ways a microcosm or a reflection on the way that we treat people, the way that we treat animals, the way that we treat property, and statues, and statues, exactly.
[00:19:32.120 --> 00:19:42.120] We can look at the psychology of our interactions with these machines and think about the way that we engage.
[00:19:42.120 --> 00:20:12.360] Because what we what I, at least from a moralistic perspective, would not want to see is a world full of animate but non-sentient things that we treat in a really deeply inhuman way, because that will can and may translate into treating people in outgroups that way, translate into dehumanizing individuals because it's a reinforcement of certain types of behavior.
[00:20:12.360 --> 00:20:14.920] I think that that is an important component of this.
[00:20:14.920 --> 00:20:24.280] I think that the bullshit, ridiculous, dumbest thing of the weak component of this is actually believing that the robot is like thinking and feeling and making these decisions.
[00:20:24.600 --> 00:20:26.920] Has emotions, among other things.
[00:20:27.080 --> 00:20:32.920] So, like, I do actually think that there's a lot of value in those kinds of conversations around robotics.
[00:20:32.920 --> 00:20:44.040] Yeah, and I think those kind of conversations are going to become more important as time advances and we actually have, you know, bona fide levels of intelligence in these devices.
[00:20:44.360 --> 00:20:57.880] Or even if they're not very necessarily self-awareness, sentience, sapience, or whatever, but some amount of intelligence where you could arguably make a point that it's sophisticated animal-level intelligence.
[00:20:57.880 --> 00:21:02.280] All I know is that when I talk to ChatGPT, I always say please.
[00:21:04.440 --> 00:21:06.520] That's because you're considerate at all times, Bob.
[00:21:06.520 --> 00:21:07.960] Yeah, I mean, that's our social training.
[00:21:07.960 --> 00:21:09.640] And I agree with what Kara said, though.
[00:21:09.640 --> 00:21:13.240] I mean, I think it probably wouldn't be a good thing to.
[00:21:13.560 --> 00:21:21.680] I'm just thinking about my kids, you know, to treat them poorly, you know, particularly if they're humanoid.
[00:21:21.680 --> 00:21:29.440] You know, like it gets to a point, I think, where we're going to need to teach people to treat them like they're people, even though they're not.
[00:21:29.440 --> 00:21:29.840] Yeah.
[00:21:29.840 --> 00:21:31.360] It's an interesting research question.
[00:21:31.360 --> 00:21:34.080] I'm sure it will be researched at some point.
[00:21:34.080 --> 00:21:36.000] And it seems reasonable that there'd be some connection.
[00:21:36.240 --> 00:21:37.520] It certainly is a consideration.
[00:21:37.840 --> 00:21:40.880] It won't necessarily translate, is what I'm saying.
[00:21:41.280 --> 00:21:48.560] Like, I'm thinking of playing violent video games, doesn't appear to translate to exacting violence in the real world.
[00:21:48.560 --> 00:21:52.080] Yeah, but you're also not doing violent AR video games.
[00:21:52.400 --> 00:21:55.040] Well, that's another assumption.
[00:21:55.040 --> 00:21:57.680] Well, what if the violence is in virtual reality?
[00:21:57.680 --> 00:21:59.440] If it's more real, does that matter?
[00:21:59.440 --> 00:21:59.920] I don't know.
[00:21:59.920 --> 00:22:00.240] I think that's right.
[00:22:00.400 --> 00:22:02.160] Or AR, not VR, but AR.
[00:22:02.240 --> 00:22:04.480] Or imposing on your reality.
[00:22:04.480 --> 00:22:10.640] And so, and it's not that the assumption is that this necessarily leads to that.
[00:22:10.640 --> 00:22:17.520] It's the assumption that in the real world, the decisions that we make are often based on natural consequences.
[00:22:17.520 --> 00:22:36.640] And when there are no natural consequences, because we're treating an object a particular way, and that object doesn't talk back, it doesn't reflect, it doesn't say that hurt my feelings, then does that then translate to a sort of because we know it does in the genocidal playbook, right?
[00:22:36.640 --> 00:22:39.280] Like when it comes to actual people, we know that this works.
[00:22:39.280 --> 00:22:48.720] It's why genocidal leaders, you know, dehumanize certain groups of people and call them things like rats and call them animals and beasts and things, because it works.
[00:22:48.720 --> 00:22:56.400] So, you're saying we should humanize the robots to make sure that we don't dehumanize people based on how we treat the robots.
[00:22:56.640 --> 00:22:57.040] Exactly.
[00:22:57.040 --> 00:22:59.120] That certainly is a legitimate concern.
[00:22:59.120 --> 00:23:02.920] I would be very interested in seeing what research says about it.
[00:23:02.920 --> 00:23:03.400] Yeah.
[00:22:59.840 --> 00:23:03.560] Yeah.
[00:23:03.720 --> 00:23:08.760] I think, you know, right now it is a hypothesis, but I think it's a hypothesis that has face validity.
[00:23:08.760 --> 00:23:09.560] Yeah, exactly.
[00:23:09.560 --> 00:23:10.120] I agree.
[00:23:10.120 --> 00:23:10.440] All right.
[00:23:10.440 --> 00:23:11.240] Thanks, Evan.
[00:23:11.240 --> 00:23:14.760] Jay, tell us about this recent Mars simulation.
[00:23:14.760 --> 00:23:16.440] So you guys should remember this.
[00:23:16.440 --> 00:23:22.680] I talked about this Mars simulation mission that they started just over a year ago.
[00:23:22.680 --> 00:23:25.240] So it was called the CHAPIA.
[00:23:25.480 --> 00:23:30.600] It means NASA's Crew Health and Performance Exploration Analog.
[00:23:30.600 --> 00:23:34.440] You know, not the sexiest name, but they're trying to make the name mean something.
[00:23:34.760 --> 00:23:39.400] So this mission concluded on July 6, 2024.
[00:23:39.400 --> 00:23:45.560] So to remind you guys, there were four volunteers living in a 1,700 square foot structure.
[00:23:45.560 --> 00:23:55.800] It was 378 days in total, and the four people that were in the experiment were Kelly Hastin, Ross Brockwell, Akna Seleru, and Nathan Jones.
[00:23:55.800 --> 00:23:56.120] What's that?
[00:23:56.520 --> 00:23:57.480] Paulie Shore.
[00:23:57.720 --> 00:23:58.680] Paulie Shore.
[00:23:58.680 --> 00:23:59.640] I got that one wrong.
[00:24:00.040 --> 00:24:03.320] Ross Brockwell sounds like a fake 80s movie name, I think.
[00:24:03.640 --> 00:24:04.680] Totally.
[00:24:04.680 --> 00:24:05.080] Totally.
[00:24:05.080 --> 00:24:05.560] Yeah, totally.
[00:24:06.760 --> 00:24:11.400] They began the mission simulation on June 25th, 2023.
[00:24:11.400 --> 00:24:19.320] Their habitat was 3D printed, and it was designed to replicate as close as they can get to Martian conditions on Earth.
[00:24:19.320 --> 00:24:22.520] Of course, the gravity was gravity, you know, Earth-1G.
[00:24:22.520 --> 00:24:26.200] This mission, again, I said it's part of the CHAPIA program.
[00:24:26.200 --> 00:24:33.560] This is the first of three missions, and they created this mission to understand how humans would cope with the stresses of a Mars mission.
[00:24:33.560 --> 00:24:35.320] It is a little more complicated than that.
[00:24:35.320 --> 00:24:37.240] So let me get into some details here.
[00:24:37.240 --> 00:24:41.640] So the habitat is currently located at NASA's Johnson Space Center in Houston.
[00:24:41.640 --> 00:24:50.800] It included things like bedrooms, a kitchen, two bathrooms, areas for medical treatment, and a recreation room, fitness, and places to work.
[00:24:50.800 --> 00:24:58.640] It also featured a sandbox that was filled with red sand for simulated Mars walks, and they had excursions that they had to go on.
[00:24:58.640 --> 00:25:00.240] They had to get suited up for that.
[00:25:00.240 --> 00:25:09.440] So during this simulation, they performed tasks that people at NASA thought would be likely things that people would end up having to do on Mars.
[00:25:09.440 --> 00:25:17.600] This includes things like habitat maintenance, sample collection, robotic operations, and even crop growth.
[00:25:17.600 --> 00:25:21.520] And actually, the crop growth is pretty interesting when it comes to the.
[00:25:22.000 --> 00:25:24.240] Yeah, they had to grow several different things.
[00:25:24.240 --> 00:25:39.040] But the whole point of this was they wanted to create intentional environmental stressors, resource limitations, isolation, confinement, just to see how the crew would handle it and see if there was any obvious sticking points that they had to address.
[00:25:39.040 --> 00:25:42.240] So the crew lived on shelf-stable food.
[00:25:42.240 --> 00:25:45.200] This included a variety of freeze-dried items.
[00:25:45.200 --> 00:25:47.280] They had thermostabilized meals.
[00:25:47.280 --> 00:25:50.160] But they also had to grow a portion of their own food.
[00:25:50.160 --> 00:25:51.680] So they grew vegetables.
[00:25:51.680 --> 00:25:55.040] And this was a legitimate and required part of their food source.
[00:25:55.040 --> 00:25:56.400] They grew a bunch of different things.
[00:25:56.720 --> 00:26:01.840] This includes peppers, they grew tomatoes, and they had some leafy greens.
[00:26:01.840 --> 00:26:07.840] And this part of the simulation included them managing the limited food systems in a Mars-like environment.
[00:26:07.840 --> 00:26:14.480] You know, this is critical, and it was a very important part of them learning the sustainability lessons that they had to go through.
[00:26:14.480 --> 00:26:18.960] And absolutely, like, think about how important that will be when they're on Mars, right?
[00:26:18.960 --> 00:26:24.240] Because some of their oxygen might even come from plant growth that they're going to have to take care of.
[00:26:24.240 --> 00:26:30.920] But them being able to have some level of sustainability is going to be critical to what they're doing.
[00:26:29.680 --> 00:26:34.920] And further missions that they do, these simulated missions, there's two more coming.
[00:26:35.160 --> 00:26:38.120] They're going to, I think, delve deeper into those things.
[00:26:38.120 --> 00:26:42.600] So during the simulation, NASA closely was monitoring their health, their performance.
[00:26:42.840 --> 00:26:46.440] They were gathering lots of data to support the crew during extended missions.
[00:26:46.760 --> 00:26:49.400] They were having fake mission control.
[00:26:49.800 --> 00:26:54.600] They were identifying potential risks, particularly with the limited nutrition that they had.
[00:26:54.600 --> 00:27:02.840] And now they're doing a two-week post-mission data collection and trying to figure out as much as they can over the data that they collected.
[00:27:02.840 --> 00:27:15.320] Brockwell, who is the CHEPIA flight engineer, highlighted the mission sustainability lessons, and he was emphasizing the importance of using resources sustainably and processing waste efficiently.
[00:27:15.320 --> 00:27:20.200] These principles were going to be crucial for long-term survival and exploration on Mars.
[00:27:20.200 --> 00:27:31.320] So, you know, I know that we're going to have to resupply people on Mars, but we're going to try to make them as self-sufficient as possible and have them recycle as much as they can possibly recycle, of course.
[00:27:31.320 --> 00:27:38.680] So now NASA had collected this extensive data on the cognitive and physical performance of the crew, and this is another huge part of this.
[00:27:38.680 --> 00:27:45.720] And this data is crucial for understanding how these extended space missions, you know, might impact human health and performance.
[00:27:45.720 --> 00:27:48.040] You know, there are pretty extreme factors here.
[00:27:48.040 --> 00:27:50.440] People are going to be very far away from the Earth.
[00:27:50.440 --> 00:27:52.520] There is no, like, hey, we're in trouble.
[00:27:52.520 --> 00:27:53.560] Come help us.
[00:27:53.560 --> 00:27:56.360] There's going to be a supply chain that we set up.
[00:27:56.360 --> 00:28:05.560] But when they land on that planet, you know, hopefully we'll have a lot of resources already there, and even 3D-built enclosures for them, and everything.
[00:28:05.560 --> 00:28:13.960] So, of course, these tests are absolutely required because they're figuring out tons of things that they just wouldn't think of on the draft board.
[00:28:13.960 --> 00:28:18.160] You know, they have to see people in the environment doing what they're doing and living through the stresses.
[00:28:18.400 --> 00:28:32.720] So, this mission provided these valuable insights into developing new technological solutions for future Mars missions, and the data gathered will help them in designing better systems that will support life on the red planet.
[00:28:32.720 --> 00:28:42.960] Now, I know that the gravity is an issue, it's not like a horrible situation, it's not like the moon where it's very difficult to get around, but it still is quite different.
[00:28:42.960 --> 00:28:47.760] It could affect people's sleep, it could affect how much energy they expend.
[00:28:47.760 --> 00:28:50.640] Because I remember we had this conversation, Bob.
[00:28:50.640 --> 00:28:58.480] We were talking about moving around on the moon and how you know, how it's very difficult to move on the moon, particularly if you're wearing a spacesuit.
[00:28:58.480 --> 00:29:07.520] And it could even be more exhausting to move in a lower G environment because you have to do weird things with your body to get to where you want to go.
[00:29:07.520 --> 00:29:16.800] You know, walking is very efficient for us, but when you're in a lower earth gravity, lower than earth gravity, your whole movement patterns have to change.
[00:29:16.800 --> 00:29:23.920] So, I'll be really curious to see how they're going to simulate that and see if they can pull any useful data out of that to help the people that are going to eventually go.
[00:29:23.920 --> 00:29:31.520] So, this was the first of three missions, like I said, with the next two scheduled for 2025 and the following year, 26.
[00:29:31.520 --> 00:29:41.440] These missions, of course, aim to further explore these challenges, and they're going to continue to make things as difficult as possible for them just to see where the breaking points are.
[00:29:41.440 --> 00:29:48.080] I think, you know, them having to develop new technology and everything with Mars in mind is going to be incredibly helpful to them.
[00:29:48.080 --> 00:29:52.240] So, one of the biggest challenges they had was managing this communication delay, right?
[00:29:52.240 --> 00:29:58.800] So, they're depending on how far away the Earth is from Mars, the amount of hours it takes to communicate changes.
[00:29:58.800 --> 00:30:05.800] But they were using a 44-minute round trip in this experiment, but that time will change depending on the distance to the Earth.
[00:30:05.800 --> 00:30:16.840] But it is significant, and the crew had to learn to adapt to these communication limitations while they were trying to maintain their mental health and their team dynamics.
[00:30:16.840 --> 00:30:29.560] Of course, these people were talking to their families while they were in this situation, and they were having a hard time dealing with trying to find times that they can talk to their families because scheduling is a big problem.
[00:30:29.560 --> 00:30:33.320] And of course, it's not just an open mic, they're not going to let them talk whenever they want to.
[00:30:33.560 --> 00:30:37.320] It was regimented, they had to be very, you know, very careful on how they did it.
[00:30:37.320 --> 00:30:43.320] You can't have a conversation with someone if it takes 44 minutes for round-trip communication.
[00:30:43.320 --> 00:30:45.960] That's really you have to artificially delay it, right?
[00:30:45.960 --> 00:30:48.600] Yeah, so I mean, I would imagine, yeah, they did.
[00:30:48.600 --> 00:30:49.960] They artificially delayed everything.
[00:30:50.520 --> 00:30:55.160] So, I would imagine that you would communicate with people more with pre-recordings, right?
[00:30:55.160 --> 00:30:59.960] If you think about it, at least you could, you know, you can't have a sentence-to-sentence conversation with someone.
[00:31:00.280 --> 00:31:03.000] You do that with mission control if there's a problem, of course.
[00:31:03.000 --> 00:31:06.760] But you're not going to want to talk to your wife, like, okay, I'm going to wait 44 minutes.
[00:31:06.760 --> 00:31:07.560] I love you.
[00:31:07.560 --> 00:31:07.960] I love you.
[00:31:08.040 --> 00:31:09.480] I would violate a simulation.
[00:31:09.960 --> 00:31:11.880] It wouldn't be realistic in this case.
[00:31:12.120 --> 00:31:18.040] So, they did find a sticking point here with the communication gap, you know, that it was hard for them to deal with.
[00:31:18.040 --> 00:31:27.560] You know, lots of interesting little nuggets of information that I think are very important, and it's way better for us to figure these things out now than 10 years from now, right?
[00:31:27.560 --> 00:31:32.600] We want to have this really, really thought out and understand all the different things that they're going to go through.
[00:31:32.600 --> 00:31:40.920] You know, we were talking at one point, Steve, about how one full-size tree could produce enough oxygen to make certain.
[00:31:41.080 --> 00:31:41.800] How many people was it?
[00:31:41.800 --> 00:31:42.520] Do you remember, Steve?
[00:31:42.520 --> 00:31:44.120] Was it one person or was it like 10 people?
[00:31:44.120 --> 00:31:45.000] No, I think it was just like one person.
[00:31:45.520 --> 00:31:48.480] It was one person per large-sized tree, right?
[00:31:48.480 --> 00:31:52.640] So I wonder if they will be building any enclosures to have trees in them.
[00:31:52.640 --> 00:31:53.520] I would hope so.
[00:31:53.520 --> 00:31:55.280] I think even just for your mental health.
[00:31:55.280 --> 00:31:57.920] Yeah, I mean, you don't need trees to get the oxygen, right?
[00:31:58.240 --> 00:31:59.520] Any plant growth.
[00:31:59.520 --> 00:32:10.640] In fact, an actual Mars settlement, the problem would be making too much oxygen because, in order to grow enough plants to feed everybody, it would produce more oxygen than they would need.
[00:32:10.640 --> 00:32:13.440] And you can't have the oxygen building up.
[00:32:13.440 --> 00:32:20.560] So, yeah, you have to actually either vent it or turn it into water or put it into tanks for fuel or whatever.
[00:32:20.560 --> 00:32:21.840] You have to do something with it.
[00:32:22.240 --> 00:32:27.360] But making enough oxygen is not going to be the problem.
[00:32:27.520 --> 00:32:30.160] It's probably going to be what to do with the excess oxygen.
[00:32:30.160 --> 00:32:30.960] Well, that's good.
[00:32:30.960 --> 00:32:32.000] I'd rather have that problem.
[00:32:32.320 --> 00:32:34.000] The worst case scenario is you just vent it.
[00:32:34.240 --> 00:32:37.600] Yeah, but that assumes they're growing 100% of their calories from crops.
[00:32:38.080 --> 00:32:39.600] I don't think they will to begin with.
[00:32:39.600 --> 00:32:41.120] I mean, I think they'll want to ramp up to that.
[00:32:41.120 --> 00:32:41.680] They're going to have to have.
[00:32:41.840 --> 00:32:46.400] Well, the simulation said it was a lot of shelf, long, long-term shelf food.
[00:32:46.400 --> 00:32:47.120] That's mostly.
[00:32:47.280 --> 00:32:49.760] But I'd say it'd take a year to get more food.
[00:32:51.280 --> 00:32:57.840] Yeah, unless you, like Jay said, also, unless you pre-ship your groceries and a lot of the stuff.
[00:32:57.920 --> 00:32:59.680] That's part of the plan.
[00:32:59.840 --> 00:33:07.440] You know, as a brain experiment, I try to put myself in a position, like, first of all, you know, I'm not leaving the Earth for anything.
[00:33:07.440 --> 00:33:17.680] But if I had to go to Mars, like, I would be freaking out just about my limited food selection for the rest of my life, you know, like or for wherever, however many years you're supposed to go.
[00:33:17.680 --> 00:33:20.240] You know, as I get older, I'm like more and more into food.
[00:33:20.240 --> 00:33:21.040] I like to cook more.
[00:33:21.040 --> 00:33:22.560] I'm like just way more into it.
[00:33:22.560 --> 00:33:24.320] It would be an impossible thing.
[00:33:24.560 --> 00:33:25.840] I couldn't get over it.
[00:33:25.840 --> 00:33:26.240] I couldn't.
[00:33:26.240 --> 00:33:29.760] Imagine, like, you're never going to have tomato sauce again.
[00:33:29.960 --> 00:33:30.680] Well, you could.
[00:33:30.680 --> 00:33:35.960] I mean, you would have to, Jay, if you were thrust into a situation in which you had to adapt, you would adapt.
[00:33:35.960 --> 00:33:38.280] I mean, I'd do it, but I'd be miserable.
[00:33:39.000 --> 00:33:40.520] Yeah, maybe not for long, though.
[00:33:40.520 --> 00:33:43.400] I think your brain would kind of remarkably adaptive.
[00:33:43.880 --> 00:33:48.200] We are, but also, I think some people would have more intense mental health reactions than others.
[00:33:48.200 --> 00:33:49.000] Yeah, and that's true.
[00:33:49.160 --> 00:33:57.800] And that's why, you know, I think we've talked about this before, but like what we used to consider the quote-unquote right stuff, that's a very different calculation now.
[00:33:57.800 --> 00:33:58.120] Yeah.
[00:33:58.440 --> 00:34:09.160] When you're talking about an extended settlement of something if I don't get enough meatballs and peanut butter, the other people's lives would be in danger.
[00:34:09.800 --> 00:34:13.000] Jay, we should write a book called There Are No Meatballs on Mars.
[00:34:13.880 --> 00:34:15.880] Is that a horror story, Steve?
[00:34:16.200 --> 00:34:18.760] This is an exploration of what it would take to go on Mars.
[00:34:18.840 --> 00:34:19.800] I know that book's already been written.
[00:34:20.120 --> 00:34:23.000] So, Kara, like, tomorrow is my mom's birthday, right?
[00:34:23.640 --> 00:34:29.160] So, my mom, I was talking to Steve about this today on the live stream, the TikTok live stream.
[00:34:29.160 --> 00:34:34.760] My mom wanted to go to Olive Garden, and I'm just literally like, you know, like Olive Garden.
[00:34:35.480 --> 00:34:38.360] I'd rather eat sawdust than go to Olive Garden.
[00:34:38.360 --> 00:34:38.760] Okay.
[00:34:39.000 --> 00:34:40.440] Because they don't cook food there.
[00:34:40.440 --> 00:34:41.000] Yeah, it's right there.
[00:34:41.000 --> 00:34:41.880] Because they're heated up.
[00:34:41.880 --> 00:34:42.440] They heat it up.
[00:34:42.440 --> 00:34:43.880] It's not a chain restaurant.
[00:34:44.280 --> 00:34:45.160] Terrible.
[00:34:45.160 --> 00:34:49.880] So Bob goes, all right, well, Jay wants mom wants meatballs and homemade bread.
[00:34:49.880 --> 00:34:54.680] You know, Bob throws out like these two things that, of course, I love to make and I love to eat.
[00:34:54.680 --> 00:34:59.000] But I had to explain to Bob, it's a day of cooking to do all that.
[00:34:59.000 --> 00:34:59.800] You know what I mean?
[00:34:59.960 --> 00:35:00.840] It's significant.
[00:35:00.840 --> 00:35:04.440] It's not like I couldn't actually pull it off by myself because I have to work tomorrow.
[00:35:04.440 --> 00:35:08.520] You know, like this is something I would typically do over a couple day period.
[00:35:08.520 --> 00:35:12.440] But then my mother-in-law and my wife were like, we will cook her whatever she wants.
[00:35:12.440 --> 00:35:14.200] So we're actually doing it now, Bob.
[00:35:14.240 --> 00:35:14.960] But okay.
[00:35:14.960 --> 00:35:16.160] Can I ask you a question?
[00:35:16.160 --> 00:35:16.560] Yeah.
[00:35:16.560 --> 00:35:19.040] Because I love you guys, and I don't get breadsticks with you.
[00:35:19.280 --> 00:35:22.000] I don't want to ask you to be whatever.
[00:35:22.000 --> 00:35:25.040] If mom wants olive garden, why don't you let mom have olive garden?
[00:35:25.440 --> 00:35:27.200] Yeah, that was everyone's plan but Jay's.
[00:35:27.200 --> 00:35:28.560] Jay was the only one.
[00:35:29.200 --> 00:35:31.840] Why is your distaste for olive garden?
[00:35:32.000 --> 00:35:33.040] No, we were going to do that.
[00:35:33.040 --> 00:35:34.000] We were going to do that.
[00:35:34.400 --> 00:35:37.840] Yeah, I talked to Jay, and he agreed.
[00:35:37.840 --> 00:35:39.200] He's like, yeah, he'll do it.
[00:35:39.200 --> 00:35:39.840] He was going to do it.
[00:35:39.840 --> 00:35:46.480] He just made it clear to me in no uncertain terms that Olive Garden, he thinks Olive Garden is shite.
[00:35:46.480 --> 00:35:48.080] So that's fine.
[00:35:48.080 --> 00:35:57.920] But then I talked to Courtney today and she's like, well, let's ask mom if she would be willing to come over and have spaghetti and meatballs at their house.
[00:35:57.920 --> 00:35:58.880] And she said, yes.
[00:35:58.880 --> 00:36:01.040] I was surprised, but that's fine.
[00:36:01.440 --> 00:36:05.520] And look, I told my mom, Mom, I will bring you to Olive Garden next week.
[00:36:05.520 --> 00:36:06.000] Good.
[00:36:06.400 --> 00:36:07.520] We bring her there all the time.
[00:36:07.520 --> 00:36:10.480] She likes to go there because she likes to buy the take-home meals.
[00:36:10.480 --> 00:36:12.080] Then she has food for the week.
[00:36:12.080 --> 00:36:12.400] Yeah.
[00:36:12.400 --> 00:36:12.640] Right?
[00:36:13.040 --> 00:36:17.040] And I think the thing about Olive Garden, as somebody who's a good person.
[00:36:17.280 --> 00:36:18.960] I know it's going to get Jay for his birthday now.
[00:36:20.080 --> 00:36:26.560] The thing about it, you know, you can talk about the fat content of the food or you can talk about all these different things.
[00:36:26.560 --> 00:36:32.560] You can talk about, you know, whatever happens in the kitchen, is that it is consistent.
[00:36:33.360 --> 00:36:37.120] And I think for people who like routine, who have cravings.
[00:36:37.440 --> 00:36:40.000] Pantera and Chipotle, all of them.
[00:36:40.000 --> 00:36:41.440] Did you say Pantera?
[00:36:41.680 --> 00:36:42.160] What did I say?
[00:36:42.480 --> 00:36:43.120] Yeah, Pantera.
[00:36:43.360 --> 00:36:43.840] Pantera?
[00:36:44.320 --> 00:36:44.640] Pantera.
[00:36:44.720 --> 00:36:45.200] Panera.
[00:36:45.600 --> 00:36:46.480] I don't know if it's better.
[00:36:47.600 --> 00:36:48.480] But Kara, the other one.
[00:36:48.720 --> 00:36:49.600] Write that down, Skara.
[00:36:49.600 --> 00:36:50.240] Put that on the list.
[00:36:50.720 --> 00:36:52.960] Pantera, McDougal's, all of them.
[00:36:53.120 --> 00:36:53.840] Yeah, that's right.
[00:36:53.840 --> 00:36:56.560] Megadeth's Burger Queen for her.
[00:36:56.560 --> 00:36:57.360] Good with all of that.
[00:36:57.680 --> 00:36:59.280] Of course, you would go for her, of course.
[00:36:59.280 --> 00:37:04.200] But the thing I'm saying is, and I knew this instinctively, like, yeah, my mom would go to Olive Garden.
[00:36:59.840 --> 00:37:04.920] She likes to go there.
[00:37:05.160 --> 00:37:12.200] My mom loves coming over to my house for home-cooked meals because my wife and I, like, just, you know, we throw 100% of ourselves into it.
[00:37:12.200 --> 00:37:16.680] We try to do the, you know, we love it, and it's meaningful to us, and we cook really good food, right?
[00:37:16.680 --> 00:37:17.080] Yeah.
[00:37:17.080 --> 00:37:19.160] So I knew that she was going to be down for that.
[00:37:19.160 --> 00:37:23.080] But, you know, I did have this visceral reaction thinking, like, Olive Garden.
[00:37:24.120 --> 00:37:25.000] Oh, my God.
[00:37:25.320 --> 00:37:27.400] All of a sudden, there was this weight on my shoulder.
[00:37:27.400 --> 00:37:27.960] Like, oh.
[00:37:28.120 --> 00:37:30.280] Jay, you just have to know what to order there.
[00:37:30.280 --> 00:37:31.560] Yeah, there's some tasty shit there.
[00:37:31.560 --> 00:37:31.880] I don't care.
[00:37:32.520 --> 00:37:34.840] You got to dip the breadsticks in the Alfredo sauce.
[00:37:34.920 --> 00:37:35.560] Oh, God, help me.
[00:37:35.640 --> 00:37:35.960] Oh, my God.
[00:37:37.240 --> 00:37:38.920] My biggest beef.
[00:37:39.560 --> 00:37:40.520] We're going to Olive Garden.
[00:37:41.080 --> 00:37:43.880] My biggest beef is that you go there and indulge a little bit.
[00:37:43.880 --> 00:37:48.040] You're walking away with about 2,500 calories.
[00:37:48.520 --> 00:37:52.840] It's just like, I just had two days of food in one meal.
[00:37:52.840 --> 00:37:55.080] If I don't eat like that, it's going to be my food.
[00:37:55.960 --> 00:37:57.160] It's not going to be their food.
[00:37:57.720 --> 00:38:03.640] If I'm going to break my diet and actually eat for two and a half days in 10 minutes, it's going to be on my camera.
[00:38:03.640 --> 00:38:05.080] I'm going to have to have candy bars if I'm going to do that.
[00:38:05.480 --> 00:38:07.880] And I'll have breadsticks with Alfredo sauce.
[00:38:08.520 --> 00:38:09.640] Yeah, those breadsticks are.
[00:38:09.800 --> 00:38:12.360] I mean, Steve, I really got to look at this, okay?
[00:38:12.680 --> 00:38:15.480] You could eat like four of those before your meal arrives.
[00:38:15.560 --> 00:38:21.320] Like, okay, my dinner's the appetizer's not even here, and I'm already 700 calories in.
[00:38:23.320 --> 00:38:24.120] It's nuts.
[00:38:24.120 --> 00:38:25.480] And that's if you haven't had a drink.
[00:38:25.480 --> 00:38:26.760] Some people have alcohol.
[00:38:26.840 --> 00:38:27.160] Oh, my God.
[00:38:27.640 --> 00:38:28.600] 300, 400 people.
[00:38:28.760 --> 00:38:29.000] You're right.
[00:38:29.000 --> 00:38:29.960] A pop, man.
[00:38:30.600 --> 00:38:31.960] Anyway, go ahead, Steve.
[00:38:31.960 --> 00:38:32.360] All right.
[00:38:32.600 --> 00:38:33.360] Steve, you wanted to mention that?
[00:38:33.520 --> 00:38:35.000] Yes, moving on?
[00:38:35.000 --> 00:38:37.640] We're going to talk about HIV.
[00:38:37.640 --> 00:38:37.960] Uh-oh.
[00:38:38.040 --> 00:38:39.800] Which I think we've talked about in a while.
[00:38:40.120 --> 00:38:41.800] We're going to start with the mostly calories.
[00:38:41.800 --> 00:38:43.400] Currently, it's here to talk about.
[00:38:44.200 --> 00:38:46.800] Let's just start with the lead.
[00:38:46.800 --> 00:38:49.200] All right, just give you the bottom line here.
[00:38:44.840 --> 00:38:50.000] Bury the lead.
[00:38:50.320 --> 00:38:55.120] A new study, a new study of a new preventive treatment.
[00:38:55.600 --> 00:38:59.840] This is something that people who are not infected with HIV take to PEP.
[00:39:00.480 --> 00:39:01.040] It's a PrEP.
[00:39:01.040 --> 00:39:02.240] Yeah, it's a which is.
[00:39:02.480 --> 00:39:02.800] Who?
[00:39:02.960 --> 00:39:04.160] A prophylactic.
[00:39:04.720 --> 00:39:08.800] Well, like PrEP, like it's there is one out there right now, and it is literally called PrEP.
[00:39:08.800 --> 00:39:09.680] That's the name of the drug.
[00:39:10.240 --> 00:39:11.600] PrEP is not the name of the drug.
[00:39:12.000 --> 00:39:15.520] PrEP is the name of the treatment strategy.
[00:39:15.520 --> 00:39:16.960] There are PrEP drugs.
[00:39:17.280 --> 00:39:19.440] PrEP is pre-exposure prophylaxis.
[00:39:19.440 --> 00:39:19.920] That's what it means.
[00:39:20.080 --> 00:39:21.760] Pre-exposure prophylaxis.
[00:39:21.760 --> 00:39:24.640] There are right now.
[00:39:24.640 --> 00:39:31.920] Truvada, Dyscovi, and Apritude are the three PrEP drugs that are on the market now.
[00:39:31.920 --> 00:39:32.640] I think I've seen commercial.
[00:39:32.800 --> 00:39:33.600] Truvada and Dyscovi.
[00:39:33.680 --> 00:39:35.680] It's funny because they always just refer to it as PrEP.
[00:39:36.000 --> 00:39:38.000] Yeah, but PrEP is just, again, that's the strategy.
[00:39:38.160 --> 00:39:38.480] Yeah, sure.
[00:39:38.880 --> 00:39:40.560] So the first two are pills.
[00:39:40.560 --> 00:39:43.200] The Apritude is a monthly injection.
[00:39:43.200 --> 00:39:43.520] That's it.
[00:39:43.680 --> 00:39:47.680] And they're about 99% effective.
[00:39:47.680 --> 00:39:50.720] But they have specific populations that they target.
[00:39:50.720 --> 00:40:02.480] Like Truvada is for people who get it through either sex or drug injection, whereas Dyscovi is specifically for sexually active men or transgender women who have sex with men.
[00:40:02.880 --> 00:40:04.080] So that's mainly.
[00:40:04.080 --> 00:40:12.960] So there's differences in whether you're getting it through drugs, through vaginal sex, through anal resex, through anal sex, if you're the giver or the receiver.
[00:40:12.960 --> 00:40:18.160] All these things are different risk factors, you know, for contracting HIV.
[00:40:18.800 --> 00:40:23.240] And you can't assume that a drug that's optimal for one is optimal for all of those, right?
[00:40:23.200 --> 00:40:25.840] But in any case, those are the three existing treatments.
[00:40:25.840 --> 00:40:35.080] But now there was a, not a conclusion, but there was a preliminary result from a phase three clinical trial of a new drug.
[00:40:35.240 --> 00:40:40.520] This is a twice-a-year injection every six months.
[00:40:41.000 --> 00:40:42.520] Wait a second, twice a year every six months.
[00:40:42.600 --> 00:40:43.560] Oh, yeah, that checks out.
[00:40:43.560 --> 00:40:43.960] Okay.
[00:40:43.960 --> 00:40:44.360] Yeah.
[00:40:44.360 --> 00:40:44.760] Yeah.
[00:40:45.080 --> 00:40:46.280] Except leap years, Bob.
[00:40:46.280 --> 00:40:47.080] You're off of dead.
[00:40:47.800 --> 00:40:49.320] This is the purpose one trial.
[00:40:49.560 --> 00:40:53.000] The drug is lenacapovir, lenacapovir.
[00:40:53.000 --> 00:40:55.640] And guess how effective it was in this clinical trial?
[00:40:56.040 --> 00:40:57.000] 99%.
[00:40:57.080 --> 00:40:58.280] 91%.
[00:40:58.280 --> 00:40:59.720] 99.44%.
[00:40:59.960 --> 00:41:00.280] 100%.
[00:41:00.440 --> 00:41:01.240] So pure it floats.
[00:41:02.120 --> 00:41:03.400] 100%.
[00:41:03.400 --> 00:41:04.120] Wow.
[00:41:04.120 --> 00:41:05.480] Nothing's 100%.
[00:41:05.640 --> 00:41:06.120] I know, right?
[00:41:06.120 --> 00:41:07.960] Nothing's 100%, but this was.
[00:41:10.120 --> 00:41:11.080] And that thing from 93%.
[00:41:11.320 --> 00:41:13.000] How many people did they study it on?
[00:41:13.000 --> 00:41:13.560] Four?
[00:41:13.880 --> 00:41:14.440] No.
[00:41:14.440 --> 00:41:15.080] So they studied it.
[00:41:15.160 --> 00:41:15.800] It better be more than that.
[00:41:16.040 --> 00:41:27.640] So for the trial, it was a comparison between the Lenacapivir, the new twice-a-year injection, versus the two oral ones that I talked about, right?
[00:41:27.640 --> 00:41:29.480] The Truvada and the Descovy.
[00:41:30.280 --> 00:41:40.760] So there were 2,134 women in the new treatment arm, right, for at least 52 weeks.
[00:41:40.760 --> 00:41:42.600] And there were zero cases.
[00:41:42.600 --> 00:41:47.640] So zero out of 2,134 over a year.
[00:41:47.640 --> 00:41:49.400] How risky was their behavior?
[00:41:49.400 --> 00:41:57.080] This is in South Africa, and young women were specifically targeted because they are the highest risk group in that country.
[00:41:57.080 --> 00:41:58.760] So it's a very high-risk group.
[00:41:58.760 --> 00:42:12.040] Well, but here's the comparison: 1.5% of the women who took Truvada were infected over the study period, and 1.8% of the Duscovier patients.
[00:42:12.440 --> 00:42:18.720] So even compared against effective PrEP, this was more effective.
[00:42:14.840 --> 00:42:20.000] Nice.
[00:42:20.320 --> 00:42:23.040] Yeah, and they also compare it to just background rates.
[00:42:23.040 --> 00:42:26.240] They couldn't do a pure placebo arm because it's unethical.
[00:42:27.440 --> 00:42:30.880] And Steve, the animal trials before this obviously came up with the same result?
[00:42:30.880 --> 00:42:37.040] I don't know if it was 100% in the animal trials, but it was, you know, they had high hopes for it because it's.
[00:42:37.280 --> 00:42:38.800] It must have come close, if not 100%.
[00:42:39.520 --> 00:42:40.720] Yeah, I didn't.
[00:42:40.960 --> 00:42:48.880] And when you see a result that when you see a result that yields a 100% rate, does that cause any questioning just because of the result?
[00:42:49.120 --> 00:42:50.960] Well, I mean, a little bit.
[00:42:50.960 --> 00:42:52.720] You have to look carefully just to make sure that.
[00:42:52.800 --> 00:42:54.080] It's a prior plausibility.
[00:42:54.400 --> 00:42:55.600] Is it a new technology?
[00:42:55.600 --> 00:42:57.440] What do they attribute the success to?
[00:42:57.440 --> 00:42:59.040] It's just very effective.
[00:42:59.040 --> 00:43:03.920] Yeah, and remember that in this case, other drugs are 99% effective.
[00:43:03.920 --> 00:43:04.480] So it's not.
[00:43:04.880 --> 00:43:08.320] Yeah, well, there was 98.5 and 98.2.
[00:43:08.320 --> 00:43:08.720] And they weren't going to be able to do it.
[00:43:08.800 --> 00:43:12.240] But you can see that last little bit is really tough to get past.
[00:43:12.240 --> 00:43:14.320] I looked at the methods and everything.
[00:43:14.320 --> 00:43:14.960] It all checks out.
[00:43:15.360 --> 00:43:16.480] There's no big red flags.
[00:43:16.480 --> 00:43:17.840] It seems like it was a legit trial.
[00:43:18.880 --> 00:43:25.600] So I'm not seeing anything like, oh, we should question these results, unless there was something not reflected in the write-up.
[00:43:26.160 --> 00:43:28.160] But there's two things to point out here.
[00:43:28.160 --> 00:43:30.560] So one, it's a new mechanism of action, right?
[00:43:30.560 --> 00:43:35.440] So the thinking might be that, well, maybe this is just a really effective mechanism of action.
[00:43:35.440 --> 00:43:41.120] So the Truvada and Descovy both have tenofavir in it.
[00:43:41.120 --> 00:43:41.920] Then that is.
[00:43:42.240 --> 00:43:44.720] Oh, and Steve, I thought it was pronounced a discovi.
[00:43:44.720 --> 00:43:45.040] It could be.
[00:43:45.120 --> 00:43:46.640] I feel like that's what they always say in the commercial.
[00:43:46.720 --> 00:43:47.040] Oh, yeah.
[00:43:47.040 --> 00:43:47.520] It could be discovy.
[00:43:47.480 --> 00:43:48.080] Discovyed.
[00:43:48.160 --> 00:43:49.360] Yeah, I just never heard it says.
[00:43:49.520 --> 00:43:51.040] I know what these drug names are like.
[00:43:51.040 --> 00:43:54.480] So the two pills are replication inhibitors.
[00:43:54.480 --> 00:43:58.800] They basically get incorporated into the HIV's DNA.
[00:43:58.800 --> 00:44:00.440] Remember, HIV is a retrovirus.
[00:43:59.920 --> 00:44:04.920] It has to insert its DNA into a host cell's DNA so that it gets replicated.
[00:44:05.240 --> 00:44:14.120] The tenofovir treatments, they incorporate themselves into the DNA and stop the replication.
[00:44:14.120 --> 00:44:16.440] So they basically are replication inhibitors.
[00:44:16.440 --> 00:44:28.200] The every month injection, which is cabotegravir, that binds to an enzyme called integrase, which is necessary for the DNA to integrate into the host DNA.
[00:44:28.200 --> 00:44:32.440] So it's an integration inhibitor, you know, enzyme, integrase inhibitor.
[00:44:32.440 --> 00:44:48.040] So when these drugs are used correctly, they're 99% effective, which leads to the other aspect of the new drug, which is it's thought that it's really effective because it's a once every six-month injection.
[00:44:48.440 --> 00:44:52.680] So one of the biggest problems with the daily pill is that you got to take it every single day.
[00:44:52.680 --> 00:45:01.240] Yeah, I was going to say, the point whatever percent higher effectiveness, I think, is much less compelling than you only have to get two shots a year.
[00:45:01.240 --> 00:45:02.520] But those are related.
[00:45:02.840 --> 00:45:03.240] Okay.
[00:45:03.240 --> 00:45:04.040] Oh, interesting.
[00:45:04.040 --> 00:45:05.320] Yeah, so that's what I'm saying.
[00:45:06.360 --> 00:45:07.160] Compliance.
[00:45:07.480 --> 00:45:18.360] Right, especially for this population, because they were saying, like, for young women in South Africa, having to take a pill every day can be a stigma, and they might not be able to do it.
[00:45:18.680 --> 00:45:23.960] I assumed that they were looking at effectiveness regardless of treatment adherence.
[00:45:23.960 --> 00:45:27.640] No, so there's a difference between efficacy and effectiveness.
[00:45:27.640 --> 00:45:28.040] Yeah.
[00:45:28.840 --> 00:45:37.720] But in this trial, I don't know that they were necessarily tracking the compliance of the subjects.
[00:45:38.040 --> 00:45:46.640] So there's something called an intention to treat model of a trial where it's like I give the patient a prescription and then we see how they do, right?
[00:45:46.640 --> 00:45:49.360] And it incorporates whether or not.
[00:45:44.920 --> 00:45:49.920] Real world.
[00:45:50.160 --> 00:45:58.080] Yeah, like real world, does the patient actually take it as opposed to efficacy, which is if you take it exactly like you're supposed to, how well does it work?
[00:45:58.240 --> 00:46:07.280] But a lot of trials could combine those because it's basically an efficacy trial, but there may be a greater dropout rate or there may be greater non-compliance or whatever.
[00:46:07.280 --> 00:46:13.520] By the way, so the new drug, the Lenacapivir, the twice-a-year injection, is an HIV capsid drug.
[00:46:13.520 --> 00:46:17.600] So it binds to the capsid around the HIV, right?
[00:46:17.600 --> 00:46:24.800] The human immunodeficiency virus, and it blocks three different steps in HIV viral replication.
[00:46:24.800 --> 00:46:28.480] So it's a new mechanism that just probably may be more effective.
[00:46:28.480 --> 00:46:36.800] But the big thing, the thing they're really touting is, you know, people just have to show up twice a year to get the injection and they're covered.
[00:46:36.800 --> 00:46:37.760] There's no stigma.
[00:46:37.760 --> 00:46:41.440] They don't have to take a pill every day or go every month for an injection.
[00:46:41.440 --> 00:46:47.600] So the effectiveness is likely to be superior just for that reason.
[00:46:47.920 --> 00:46:51.360] Oh, yeah, because from a public health perspective, you can offer that in work.
[00:46:51.600 --> 00:46:51.840] Exactly.
[00:46:52.160 --> 00:46:54.720] Even a public school health intervention.
[00:46:55.440 --> 00:47:02.720] Yeah, it's way more effective than you've got to show up and get your pills every month and you've got to take a pill every day and blah, blah, blah.
[00:47:02.720 --> 00:47:04.400] That's why people are really excited about it.
[00:47:04.400 --> 00:47:12.640] Now, the company, which I don't know when they gave the, I don't know how and when the company got this name, but the name of the company is Gilead.
[00:47:12.960 --> 00:47:13.600] Oh, yeah.
[00:47:13.600 --> 00:47:15.600] Gilead Pharmaceuticals has been around a long time.
[00:47:15.600 --> 00:47:16.240] Yeah, right?
[00:47:16.240 --> 00:47:17.120] It is unfortunate.
[00:47:17.360 --> 00:47:20.960] Yeah, so they were happy with the handmaid's tale when I came back.
[00:47:21.520 --> 00:47:23.280] Yeah, Gilead Pharmaceuticals.
[00:47:23.920 --> 00:47:27.280] But they said that they're going to Gilead Science is actually the name of the company.
[00:47:27.280 --> 00:47:27.920] Gilead Science.
[00:47:28.160 --> 00:47:28.880] Gilead, huh?
[00:47:28.960 --> 00:47:29.240] Yeah.
[00:47:29.040 --> 00:47:34.600] But they said that they were going to make the drug available to generic producers.
[00:47:35.400 --> 00:47:39.400] So they're not going to basically enforce their patent.
[00:47:39.640 --> 00:47:40.920] They're not going to keep it to themselves.
[00:47:40.920 --> 00:47:41.960] Oh, that's awesome.
[00:47:41.960 --> 00:47:42.520] Good for that.
[00:47:42.760 --> 00:47:43.960] That Scavelli guy.
[00:47:45.000 --> 00:47:45.400] Oh, my God.
[00:47:45.640 --> 00:47:46.040] That guy.
[00:47:46.040 --> 00:47:46.680] That FBI guy.
[00:47:46.840 --> 00:47:47.400] That's that guy.
[00:47:47.560 --> 00:47:48.200] Scarelli, I think.
[00:47:49.000 --> 00:47:49.640] Skrelli.
[00:47:49.640 --> 00:47:50.120] Skrelly.
[00:47:50.360 --> 00:47:51.960] Martin or Marvin or something.
[00:47:52.280 --> 00:47:52.680] Scumbag.
[00:47:53.400 --> 00:47:54.920] Scumbag Skrelly.
[00:47:54.920 --> 00:47:57.320] This could be potentially huge, right?
[00:47:57.400 --> 00:47:57.640] Huge.
[00:47:58.120 --> 00:48:09.240] If this drug is picked up, you know, by governments purchase lots of it and make it freely available, which would be an incredibly cost-effective public health intervention because.
[00:48:10.200 --> 00:48:18.360] Yeah, I mean, paying for two doses of a drug a year is going to be way cheaper than treating that 1% or 2% or whatever.
[00:48:19.240 --> 00:48:22.440] And it's not people in some of these countries.
[00:48:22.440 --> 00:48:23.080] Yeah, right.
[00:48:23.080 --> 00:48:23.480] This is like...
[00:48:23.480 --> 00:48:24.600] It's much higher than 1 or 2%.
[00:48:24.680 --> 00:48:25.480] Oh, yeah, you're right.
[00:48:27.000 --> 00:48:30.840] It could be, especially in this population, it could be very high.
[00:48:31.240 --> 00:48:37.160] When I was in Eswatini, which is the country with the highest HIV rate in the world, it's high.
[00:48:37.160 --> 00:48:37.560] It's high.
[00:48:37.880 --> 00:48:39.560] I think we're in the 30s.
[00:48:39.560 --> 00:48:47.960] Worldwide, worldwide, there are 39 million cases with over 1 million new infections per year.
[00:48:48.280 --> 00:48:49.080] 1 million.
[00:48:49.480 --> 00:48:50.120] Yeah, okay.
[00:48:50.120 --> 00:48:57.240] Eswatini, which is a small country in southern Africa, highest HIV prevalence in the world, 25.9% of its population.
[00:48:57.240 --> 00:48:59.560] Yeah, that's prevalence, though, not incidence.
[00:48:59.800 --> 00:49:00.680] Yeah, that's prevalence.
[00:49:00.680 --> 00:49:01.160] Yeah, I was talking about it.
[00:49:01.320 --> 00:49:06.760] The incidence rate is 0.62%, which is about 4,000 cases.
[00:49:06.920 --> 00:49:08.280] Yeah, but they said 1%.
[00:49:08.280 --> 00:49:09.160] Yeah, yeah, yeah, yeah.
[00:49:09.160 --> 00:49:17.760] So, in any case, the World Health Organization had a goal of reducing new HIV infections to zero by 2030.
[00:49:14.840 --> 00:49:21.040] They were really nowhere on track to achieve that.
[00:49:21.280 --> 00:49:22.560] They have the means to be able to do that.
[00:49:22.640 --> 00:49:25.760] They're probably not going to achieve that goal, but they were really not on track.
[00:49:25.760 --> 00:49:36.960] But this drug, if they really ramp up production and distribution of this drug, might change the calculus here and make it bring it back to, it's actually semi-plausible that they can do it.
[00:49:36.960 --> 00:49:43.680] If not 2030, by 2035 or whatever, zero new infections of HIV would be amazing.
[00:49:43.680 --> 00:49:48.080] And this drug, based upon this evidence, could plausibly do it.
[00:49:48.080 --> 00:49:51.440] It's just a matter of now just getting it into enough people.
[00:49:52.080 --> 00:50:01.920] I have to say, so part when we're when we do our 1,000th episode, one of the topics that we're going to be covering is the history of topics that we've been dealing with for a long time.
[00:50:01.920 --> 00:50:06.080] Like, you know, we'll talk about UFOs and what were they saying 30 years ago?
[00:50:06.080 --> 00:50:07.600] What were skeptics saying 30 years ago?
[00:50:07.600 --> 00:50:10.640] What's actually happened over the last 20, 30 years?
[00:50:10.640 --> 00:50:14.960] And so this is, we're not going to be talking about this one, but I'm going to talk about it briefly now.
[00:50:15.040 --> 00:50:19.360] 1980s basically is when the HIV exploded.
[00:50:19.600 --> 00:50:21.120] You know when the first case was?
[00:50:21.120 --> 00:50:23.120] The first case of HIV in a human?
[00:50:23.440 --> 00:50:24.160] 79.
[00:50:24.560 --> 00:50:25.680] Well, he was in blood.
[00:50:25.680 --> 00:50:27.920] Yeah, they only identified retrospectives.
[00:50:29.040 --> 00:50:30.080] 1959.
[00:50:30.800 --> 00:50:32.080] Yeah, that's when they discovered it.
[00:50:32.400 --> 00:50:32.960] Way earlier than that.
[00:50:34.080 --> 00:50:38.560] There was blood from a patient in 1959 that when they looked at said, this guy had HIV.
[00:50:38.560 --> 00:50:40.800] Yeah, so it was probably even earlier than that.
[00:50:41.040 --> 00:50:45.120] It crossed over probably from the chimpanzee to humans sometimes in the 1930s.
[00:50:45.120 --> 00:50:47.120] Yeah, that's what I thought in the 30s.
[00:50:47.120 --> 00:50:47.520] Yeah.
[00:50:47.840 --> 00:50:52.720] And you think about it, that is a spillover event, but it's a very, very small spillover event.
[00:50:53.040 --> 00:50:56.720] The truth of the matter is, HIV could be eradicated.
[00:50:56.720 --> 00:50:57.040] It could.
[00:50:57.280 --> 00:50:58.880] Well, yeah, isn't that kind of the bottom line?
[00:50:58.960 --> 00:51:02.840] Yeah, I don't know if it would technically be eradicated with an animal reservoir.
[00:50:59.840 --> 00:51:03.800] I think it would.
[00:51:04.120 --> 00:51:07.960] Yes, but it would be close to the spillover events are very, very rare.
[00:51:08.280 --> 00:51:09.240] But it's very rare.
[00:51:09.240 --> 00:51:12.520] It would be eliminated with very rare potential for spillover events.
[00:51:12.520 --> 00:51:14.680] Oh, basically, practically eradicated.
[00:51:14.680 --> 00:51:15.160] I agree.
[00:51:15.160 --> 00:51:16.680] And this is the kind of thing they can do.
[00:51:16.760 --> 00:51:27.000] But the point I was getting to is that we were hit with this new virus that completely transformed the infectious disease subspecialty, by the way.
[00:51:27.160 --> 00:51:30.040] Had a massive effect on medicine in general.
[00:51:30.040 --> 00:51:31.400] I was in med school in the 80s.
[00:51:31.560 --> 00:51:34.040] It was a massive effect of HIV.
[00:51:34.040 --> 00:51:35.480] Oh, absolutely.
[00:51:35.480 --> 00:52:01.080] Here we are, 30 years later, you know, it's basically a manageable chronic illness, and now we have effective preventive treatment and 100% effective new treatment that we could potentially be rolling out based upon good old-fashioned reductionist science, understanding how that little bugger works, interfering with its, you know, the basic science, understanding of how it replicates and how it operates in the body, et cetera, et cetera.
[00:52:01.400 --> 00:52:02.120] Homeopaths need to be.
[00:52:02.360 --> 00:52:26.760] Meanwhile, over this same period of time, going all the way back to the 80s, there were conspiracy theories about HIV, tremendous alternative medicine treatments, either herbalism or homeopathy or whatever, denialism about whether or not it even exists, et cetera, all amounted to absolute nothing, a big steaming pile of CRAPOLA.
[00:52:26.760 --> 00:52:33.720] All of the pseudoscience, conspiracy theories, alternative treatments have not saved a single person.
[00:52:33.720 --> 00:52:41.880] They have arguably killed a lot of people by distracting them from a good old-fashioned science, right?
[00:52:42.200 --> 00:52:49.760] Which is basically curing this disease and preventing it and could lead to its functional eradication.
[00:52:44.520 --> 00:52:51.760] And we cannot lose that narrative.
[00:52:51.920 --> 00:52:56.000] That narrative is so critical because we see it over and over again.
[00:52:56.000 --> 00:53:02.720] And this is a disease, I think, when we think about the scale of this disease, it sometimes gets lost because of how far we've come.
[00:53:02.720 --> 00:53:03.520] Yeah, right.
[00:53:03.520 --> 00:53:12.720] This is, by many metrics, the third most devastating epidemic or pandemic ever.
[00:53:12.720 --> 00:53:13.200] Yeah.
[00:53:13.200 --> 00:53:14.160] In all of history.
[00:53:14.160 --> 00:53:14.480] Yeah.
[00:53:14.480 --> 00:53:14.720] Wow.
[00:53:14.720 --> 00:53:15.600] It's massive.
[00:53:15.600 --> 00:53:16.080] Yes.
[00:53:16.080 --> 00:53:20.160] I know it's hard to see it on a long enough time scale to recognize it for what it is.
[00:53:20.160 --> 00:53:22.720] But yeah, lots of death and all over the world.
[00:53:22.720 --> 00:53:24.720] Very few pandemics were worldwide.
[00:53:24.720 --> 00:53:28.560] Actually, I think HIV, AIDS, and COVID have been the.
[00:53:28.720 --> 00:53:30.480] Maybe there's one other ones.
[00:53:30.480 --> 00:53:31.520] I'm sure the flu.
[00:53:31.840 --> 00:53:32.720] Fully worldwide.
[00:53:32.720 --> 00:53:35.120] There's a cholera pandemic worldwide.
[00:53:35.120 --> 00:53:38.000] A couple influenzas, yeah, that spread across the world.
[00:53:38.000 --> 00:53:39.840] But most of them aren't.
[00:53:39.840 --> 00:53:42.720] Most of them have limits on how far they were able to spread.
[00:53:42.720 --> 00:53:45.360] Do you have to be worldwide to be technically a pandemic?
[00:53:45.360 --> 00:53:46.080] No, you don't.
[00:53:46.080 --> 00:53:50.800] Aren't you just there's outbreak in the amount of countries, though?
[00:53:50.800 --> 00:53:51.920] And then pandemic.
[00:53:51.920 --> 00:53:54.640] I don't think pandemic has to be fully worldwide, though, does it?
[00:53:54.640 --> 00:53:55.120] Let's see.
[00:53:55.120 --> 00:53:55.840] Technical definition.
[00:53:55.920 --> 00:54:05.520] I think there's a minimum of that be because countries have to cover every single country, but it has to be probably widespread over a whole country or the world.
[00:54:06.080 --> 00:54:06.880] But that's awesome.
[00:54:08.000 --> 00:54:10.320] It spreads across countries or continents.
[00:54:10.320 --> 00:54:12.880] Yeah, I think it's kind of a vague continents.
[00:54:12.880 --> 00:54:13.840] Yeah, it's kind of always how I talk about it.
[00:54:14.080 --> 00:54:16.400] Look at the board game pandemic and see where it goes.
[00:54:16.560 --> 00:54:18.720] Yeah, I think it does have to cross international borders.
[00:54:18.720 --> 00:54:20.400] You'll learn real fast about those.
[00:54:20.400 --> 00:54:22.160] Anyway, yay, science.
[00:54:22.800 --> 00:54:24.320] Yeah, good stuff.
[00:54:24.320 --> 00:54:28.480] Eczema isn't always obvious, but it's real.
[00:54:28.480 --> 00:54:31.000] And so is the relief from Ebglis.
[00:54:31.400 --> 00:54:38.200] After an initial dosing phase, about four in ten people taking EBGLIS achieved itch relief and clear or almost clear skin at 16 weeks.
[00:54:38.200 --> 00:54:42.440] And most of those people maintain skin that's still more clear at one year with monthly dosing.
[00:54:42.440 --> 00:54:53.960] EBGLIS Librachizumap LBKZ, a 250 milligram per 2 milliliter injection, is a prescription medicine used to treat adults and children 12 years of age and older who weigh at least 88 pounds or 40 kilograms with moderate to severe eczema.
[00:54:53.960 --> 00:55:00.280] Also called atopic dermatitis that is not well controlled with prescription therapies used on the skin or topicals or who cannot use topical therapies.
[00:55:00.280 --> 00:55:03.160] EBGLIS can be used with or without topical corticosteroids.
[00:55:03.160 --> 00:55:04.920] Don't use if you're allergic to EBGLIS.
[00:55:04.920 --> 00:55:06.920] Allergic reactions can occur that can be severe.
[00:55:06.920 --> 00:55:07.960] Eye problems can occur.
[00:55:07.960 --> 00:55:10.280] Tell your doctor if you have new or worsening eye problems.
[00:55:10.280 --> 00:55:12.840] You should not receive a live vaccine when treated with EBGLIS.
[00:55:12.840 --> 00:55:15.960] Before starting EBGLIS, tell your doctor if you have a parasitic infection.
[00:55:15.960 --> 00:55:17.080] Searching for real relief?
[00:55:17.080 --> 00:55:24.280] Ask your doctor about EBGLIS and visit ebglis.lily.com or call 1-800-LILLIERX or 1-800-545-5979.
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[00:56:57.520 --> 00:57:00.960] All right, Kara, tell us about this COVID protection gene.
[00:57:00.960 --> 00:57:01.680] What is that?
[00:57:01.680 --> 00:57:10.800] Okay, so there's a really interesting article that was published last, yes, last month in Nature called Human SARS Cove 2.
[00:57:10.800 --> 00:57:12.960] Remember, that's the name of the virus.
[00:57:13.200 --> 00:57:15.280] Yeah, Human SARS Cove 2 challenges.
[00:57:15.440 --> 00:57:18.240] I thought that was going to be such a big name and everyone was going to use it.
[00:57:18.240 --> 00:57:18.720] Nobody.
[00:57:18.720 --> 00:57:19.600] It's only in the literature.
[00:57:19.600 --> 00:57:20.800] Yeah, we're all like COVID.
[00:57:20.800 --> 00:57:22.320] Had COVID, COVID pandemic.
[00:57:22.320 --> 00:57:23.040] During COVID.
[00:57:23.040 --> 00:57:25.680] It's like refers to so many, it's a time span now.
[00:57:26.000 --> 00:57:27.280] It's the virus itself.
[00:57:27.280 --> 00:57:28.160] It's the infection.
[00:57:28.320 --> 00:57:36.000] But anyway, Human SARS CoV Cov2 challenge uncovers local and systemic response dynamics.
[00:57:36.000 --> 00:57:37.360] Okay, what does that mean?
[00:57:37.360 --> 00:57:53.040] Well, there was an interesting study that there's an interesting study that was by British researchers who did what's called a challenge trial, which we don't often hear about because the ethics can sometimes be murky.
[00:57:53.040 --> 00:57:57.200] But it's a situation in which people are intentionally infected.
[00:57:57.200 --> 00:57:57.840] Oh boy.
[00:57:57.840 --> 00:58:01.080] So, this was at the height of the pandemic, it was in 2021.
[00:57:59.920 --> 00:58:05.160] I think vaccines were available.
[00:58:05.480 --> 00:58:09.800] I'd actually have to look at the exact date of when they started collecting data.
[00:58:09.800 --> 00:58:22.200] I'm not sure if vaccines were available, but the individuals that they volunteered for this research were unvaccinated, they were young, they were otherwise healthy.
[00:58:22.200 --> 00:58:43.160] And this was a study with 36 people where they put a very small dose of the virus in their nose, and then the hope was that they could learn a lot about the way that the virus spread the early cellular responses, the immune response, you know, what is going on.
[00:58:43.160 --> 00:58:47.240] They called it the dynamics of the early cellular responses.
[00:58:47.240 --> 00:58:54.440] So, they put the virus in everybody's nose, these 36 people's nose, and then they pick 16 of those people.
[00:58:54.440 --> 00:58:59.080] So, they look at a bunch of data across all 36 of those people for their study.
[00:58:59.080 --> 00:58:59.880] It's really interesting.
[00:58:59.880 --> 00:59:01.880] Oh my gosh, look at all this cool stuff that's happening.
[00:59:01.880 --> 00:59:11.800] We've got this, you know, great information that we can now use to try and understand how this virus replicates in the body, how people get sick, what happens in their bodies.
[00:59:11.800 --> 00:59:16.280] They take 16 of those people and they go, We're going to do like further analysis with them.
[00:59:16.280 --> 00:59:22.680] We want to kind of dig even deeper, and this analysis takes a lot of time and money, and so we're going to like drill down with 16 of them.
[00:59:22.680 --> 00:59:27.800] And they take these 16 people and they start to look and see what happens.
[00:59:27.800 --> 00:59:30.360] And something kind of strange took place.
[00:59:30.360 --> 00:59:36.120] And at first, they were actually kind of mad because they were like, shoot, this like ruins our study.
[00:59:36.120 --> 00:59:44.120] But only six of those 16 people actually got sick, even though they put COVID in their nose.
[00:59:44.120 --> 00:59:53.680] And they were like, huh, now we can't even figure out what's going on with their immune system because, you know, they're not getting sick.
[00:59:53.680 --> 00:59:57.120] But then later they realized: wait, this is probably actually really helpful.
[00:59:57.120 --> 01:00:03.840] It's probably really important why these people aren't getting sick and how these people aren't getting sick.
[01:00:03.840 --> 01:00:07.600] And so they decided to dig a little bit deeper.
[01:00:07.920 --> 01:00:19.840] And they realized that of those people who didn't get sick, that was 10 people, of those 10 people, they fell into two different categories.
[01:00:20.160 --> 01:00:25.520] Seven of the 10 never tested positive for the virus at all.
[01:00:25.520 --> 01:00:30.960] They just didn't, they didn't feel sick and they also never showed that they had the virus.
[01:00:30.960 --> 01:00:38.160] Three of them didn't really feel sick, but they did show a transient infection.
[01:00:38.160 --> 01:00:39.760] So, you know, and we've heard about this.
[01:00:40.080 --> 01:00:50.800] If you remember all the stuff that we were trying to keep track of early in sort of the COVID timeline, and it was like, even if you test positive, you might be a carrier, or even if you don't feel sick, you might still test positive.
[01:00:50.800 --> 01:00:51.440] So, yeah.
[01:00:51.440 --> 01:00:53.120] So, three of them were like that.
[01:00:53.120 --> 01:00:56.480] Seven of them never even got sick, never tested positive.
[01:00:56.720 --> 01:01:04.640] And they did find that there were some subtle changes in some of the immune responses between those two groups.
[01:01:04.640 --> 01:01:15.200] But what was really interesting is that there was a big similarity across all of the people in the non-sick group.
[01:01:15.200 --> 01:01:25.280] They found that those individuals had a very particular gene that was showing elevated activity.
[01:01:25.280 --> 01:01:28.720] It was the HLA-DQA2 gene.
[01:01:28.720 --> 01:01:33.880] And these are specialized immune cells that had actually been studied previously, but not much.
[01:01:29.760 --> 01:01:35.880] They didn't really understand what the gene did.
[01:01:37.000 --> 01:01:45.320] Some studies previously had hypothesized that it was linked to milder outcomes from viral infection, but they weren't really sure.
[01:01:45.320 --> 01:01:52.280] They also found a couple other kinds of interesting things that, like, okay, there's this response.
[01:01:52.600 --> 01:01:58.440] It's an immune reaction that is called an interferon response.
[01:01:58.440 --> 01:02:16.200] And they found that in the people who were only transiently infected, the ones who, you know, caught the virus and never really got sick, and the virus went away really fast, they had an interferon response that showed up in their nose.
[01:02:16.200 --> 01:02:19.080] They were able to swab for it and see it.
[01:02:19.080 --> 01:02:21.640] People, and it came like within a day.
[01:02:21.640 --> 01:02:27.800] People who got sick, it took them five days for that response to show up in their nose.
[01:02:27.800 --> 01:02:44.920] So something about that time gap led the researchers to believe that those who don't have this gene variant, their bodies give the virus time to spread and to, you know, divide, whereas, to proliferate.
[01:02:44.920 --> 01:02:57.240] Whereas, if there's really fast activity, local activity, at the site of the infection, that could have prevented the transiently infected individuals from ever getting sick in the first place.
[01:02:57.240 --> 01:03:09.880] Weirdly, in the sick participants, they actually showed the interferon activity in blood samples before they ever saw it in their nose, which is super weird because they gave them the virus in their nose.
[01:03:10.200 --> 01:03:17.840] So there was definitely a delayed immune response, which it seems like it's pretty typical of the population with COVID.
[01:03:17.840 --> 01:03:26.960] Whereas in these groups that either didn't get sick but tested positive, they had a really fast interferon reaction only in the nose.
[01:03:26.960 --> 01:03:36.800] And for the individuals who never tested positive at all, both of those groups had elevated activity of this specific gene, HLADQA2.
[01:03:36.800 --> 01:04:08.160] So, you know, the researchers are saying, of course, we've learned a lot since then, but having looked at all of this data and recognizing that this particular gene has probably an important function in immune response, not only is it pretty lucky for these folks with regards to COVID-19, but it could also open up, I think, a lot of research into this kind of genotyping for other infections as well.
[01:04:08.160 --> 01:04:16.480] So I don't know, maybe in the future we will have, you know, we'll be genotyped and we'll see: am I more resistant to these types of infections?
[01:04:16.480 --> 01:04:33.760] Do I have this type of immune capability that will allow me to kind of know that in advance versus those who don't have this variant and are much more likely to get infected?
[01:04:33.920 --> 01:04:38.400] It is fascinating to think, and I'm sure that you all know somebody like this too.
[01:04:38.400 --> 01:04:40.720] Like, I've had COVID once that I know of.
[01:04:41.280 --> 01:04:42.400] How about you all?
[01:04:42.720 --> 01:04:43.600] I had it one time.
[01:04:44.240 --> 01:04:46.960] It took a few years for me to get it.
[01:04:46.960 --> 01:04:48.160] Yeah, it took a few years for me to.
[01:04:48.160 --> 01:04:49.680] I only got it for the first time last year.
[01:04:50.000 --> 01:04:51.520] You didn't get it until 2023.
[01:04:51.920 --> 01:04:52.400] Florida, right?
[01:04:52.560 --> 01:04:54.080] When you came back from Florida?
[01:04:54.560 --> 01:04:55.600] No, I got it on a flight.
[01:04:55.760 --> 01:04:57.200] Oh, you got it on a flight back from Florida.
[01:04:57.280 --> 01:04:58.800] Oh, yeah, Bob, you were after me.
[01:04:58.800 --> 01:05:00.760] You got it on a flight back from Disney World.
[01:05:01.320 --> 01:05:06.440] I think I'm, I think I'm the day after we got home, so it might have been, you know, might have been at Disney World.
[01:05:00.000 --> 01:05:07.320] Might have been at Disney World.
[01:05:07.400 --> 01:05:08.040] We were in crowds.
[01:05:08.040 --> 01:05:09.160] We were in some big crowds.
[01:05:09.160 --> 01:05:10.520] So, yeah, it could have been then.
[01:05:10.840 --> 01:05:14.280] And I got it on a flight home from Jordan just a few months before that.
[01:05:14.280 --> 01:05:16.520] And I got it on a flight home from Italy.
[01:05:16.520 --> 01:05:17.320] Nice.
[01:05:17.640 --> 01:05:19.240] And I don't know how I got it.
[01:05:19.240 --> 01:05:21.400] Jay, how many times that you know of have you had it?
[01:05:21.400 --> 01:05:22.920] I mean, I think I only had it once.
[01:05:22.920 --> 01:05:25.800] It's possible I had it a second time very late.
[01:05:27.560 --> 01:05:31.560] You know, I was testing, but I definitely had it once really bad.
[01:05:31.560 --> 01:05:31.960] Yeah.
[01:05:31.960 --> 01:05:32.680] And Evan?
[01:05:32.680 --> 01:05:36.520] One time for me, one positive confirmed test for me.
[01:05:36.520 --> 01:05:37.240] Yeah, yeah.
[01:05:37.560 --> 01:05:41.560] So, and we've all known people who have had it like five times.
[01:05:41.560 --> 01:05:51.640] And we all know people, maybe at this point, it's harder to know somebody who either claim or who have, I think, a good, a good story that they haven't had COVID.
[01:05:51.640 --> 01:05:56.040] And it's really interesting to say, what, what is different about these individuals?
[01:05:56.040 --> 01:06:01.400] This study inadvertently asked that question and was able to partially answer that question.
[01:06:01.400 --> 01:06:12.040] And part of the reason that this study was so incredibly valuable, because this happened in 2021, is that when they try to do challenge studies now, they have a hard time infecting people.
[01:06:12.040 --> 01:06:12.520] Yeah.
[01:06:13.080 --> 01:06:15.160] Because so many people have immunity.
[01:06:15.160 --> 01:06:15.480] Right.
[01:06:15.800 --> 01:06:18.920] Which is probably why we've only had it the one time.
[01:06:19.640 --> 01:06:20.280] Couldn't you induce that?
[01:06:20.360 --> 01:06:21.560] Yeah, plus all those vaccines.
[01:06:21.560 --> 01:06:23.400] I mean, I think that's what I'm saying.
[01:06:23.400 --> 01:06:24.280] That's the immunity.
[01:06:24.280 --> 01:06:27.960] So it's either exposure to wild type or it's vaccine immunity.
[01:06:27.960 --> 01:06:28.680] Or both.
[01:06:28.680 --> 01:06:30.120] But yeah, it's both.
[01:06:30.840 --> 01:06:34.280] And together, like people that have had both is the super immunity, right?
[01:06:34.280 --> 01:06:34.520] Totally.
[01:06:34.680 --> 01:06:35.800] For a while, anyway.
[01:06:35.800 --> 01:06:39.480] And most of the globe has some amount of immunity against COVID at this point.
[01:06:39.480 --> 01:06:41.960] So it's harder for them to do these kinds of trials.
[01:06:41.960 --> 01:06:50.320] But back then, when our immune systems were naive, they were able to successfully infect these test participants.
[01:06:50.560 --> 01:06:54.960] And they were really surprised when some people were like, just, yeah, I didn't get sick.
[01:06:54.960 --> 01:06:57.440] Can we induce that gene variant?
[01:06:57.440 --> 01:07:02.640] Can we use CRISPR or something to give it to people so they're superhuman like us?
[01:07:02.640 --> 01:07:03.520] Like us.
[01:07:03.520 --> 01:07:07.440] We probably don't have it, but I assume at least I have it.
[01:07:10.000 --> 01:07:13.440] By the time we both got infected, we were so vaccinated.
[01:07:13.440 --> 01:07:14.160] Bob already bought it.
[01:07:14.800 --> 01:07:15.600] Yeah, I was the last.
[01:07:15.600 --> 01:07:18.640] That was the last of the extended family.
[01:07:18.640 --> 01:07:27.280] But can we use CRISPR to, or that, or that other new technique to I mean, I think that's a pretty open question, right?
[01:07:27.520 --> 01:07:28.640] What can CRISPR do?
[01:07:28.640 --> 01:07:29.440] What can't CRISPR do?
[01:07:29.840 --> 01:07:33.440] It's easier to do it in embryos than in adults.
[01:07:34.320 --> 01:07:42.240] But the HLA typing is for a long time, you know, that's old news, right?
[01:07:42.240 --> 01:07:51.600] That has a massive effect on risk factors that deal with the immune system, like your risk of getting autoimmune diseases, for example.
[01:07:51.600 --> 01:07:55.680] Oh, so they're typing for very strongly with HLA, with certain HLA typing.
[01:07:56.640 --> 01:07:58.560] So they're typing for the opposite direction.
[01:07:58.560 --> 01:07:58.720] Yeah.
[01:07:58.960 --> 01:08:00.480] Looking for lowered expression.
[01:08:01.280 --> 01:08:07.120] But also, anything to do with immune function, there's an HLA association with it, basically.
[01:08:07.440 --> 01:08:15.040] And so, yeah, this is just one more piece to that puzzle of identifying an HLA type.
[01:08:15.120 --> 01:08:17.600] Yeah, that confers some good immunity.
[01:08:17.600 --> 01:08:23.520] But I wonder if it also conveys a higher risk of certain autoimmune diseases.
[01:08:23.520 --> 01:08:27.120] Because, you know, evolution is all about optimizing trade-offs.
[01:08:27.680 --> 01:08:29.720] We always talk about cancer versus aging.
[01:08:30.040 --> 01:08:30.440] Yeah.
[01:08:29.200 --> 01:08:34.840] So I wonder if like fighting infection versus autoimmune diseases is another kind of trade-off.
[01:08:35.160 --> 01:08:42.360] But sometimes evolution also hits upon just straight up superior, superior genetic superior proteins, whatever.
[01:08:42.360 --> 01:08:45.320] So some people just do have better immune systems than others.
[01:08:45.960 --> 01:08:46.440] Yeah, right.
[01:08:46.440 --> 01:08:58.600] And they still don't know why among the people who had elevated HLA DQA2, did some of them have a transient infection and some of them not get sick at all when they had the exact same exposure.
[01:08:58.920 --> 01:09:02.280] So clearly it's not the whole picture, but it's part of the picture.
[01:09:02.280 --> 01:09:02.760] Yeah.
[01:09:03.080 --> 01:09:04.040] Cool.
[01:09:04.760 --> 01:09:08.600] All right, Bob, I don't know what nuclear pasta is, but I want some.
[01:09:08.600 --> 01:09:10.840] Oh my God, this is pretty awesome.
[01:09:10.920 --> 01:09:15.000] You can get it at Olive Garden with nuclear breadsticks.
[01:09:15.320 --> 01:09:23.720] So scientists have filled in some of the fascinating details of the exotic types of matter in the crust of neutron stars.
[01:09:23.720 --> 01:09:35.480] They have shown the likely existence of a phenomenon called proton drip that exists alongside neutron drip and my favorite exotic matter in the universe, nuclear pasta.
[01:09:35.480 --> 01:09:44.440] The researchers at the Department of Physics at TU, Domstadt, and the Niels Bohr Institute in Copenhagen, these findings are reported in the physical review letters.
[01:09:44.760 --> 01:09:50.280] The study's title is Neutron Star Matter as a Dilute Solution of Protons in Neutrons.
[01:09:50.280 --> 01:09:53.560] So yes, I will now be talking about nuclear pasta.
[01:09:53.560 --> 01:09:59.640] When I read those words, I immediately knew I will be talking about this on the show, and I just devoured it.
[01:09:59.640 --> 01:10:02.520] So this is just ultimately, at its most basic level.
[01:10:02.520 --> 01:10:08.360] It's another amazing chapter about the most fascinating objects in the universe, neutron stars.
[01:10:08.680 --> 01:10:22.960] When giant stars explode their outer layers and collapse their cores, if the core's mass is above what's called the Tolman-Oppenheimer-Volkov limit, two to three solar masses, then nothing known can stop the collapse, and we have a black hole.
[01:10:22.960 --> 01:10:33.840] Now, I say nothing known because there's some kind of fringe theories out there that and some hope that there's a pit stop before black holes, and some collapsing masses might create a quark star.
[01:10:33.840 --> 01:10:35.280] So, that's all I'll say on that.
[01:10:35.280 --> 01:10:37.600] Look it up, fascinating possibility.
[01:10:37.600 --> 01:10:49.920] So, okay, if that final core mass is below the Tolman-Oppenheimer-Volkov limit, then we have a wonderful city-sized neutron star with a mass of about two suns squeezed inside.
[01:10:49.920 --> 01:10:59.440] Now, to call this simply a ball of neutrons, it's not inaccurate, but it's like calling Jay's meatballs just spheres of mostly protein and lipids.
[01:11:00.160 --> 01:11:02.480] It doesn't quite do it justice at all.
[01:11:03.120 --> 01:11:18.640] So, yes, neutron stars are mostly neutrons, but we believe that there are layers of exotic degenerate matter in there that are different depending on how far below the crust they are, what forces are prominent, how much gravity, how much pressure, and lots of other factors as well.
[01:11:18.640 --> 01:11:20.400] So, lots of different layers.
[01:11:20.400 --> 01:11:29.600] Now, the surface layer of a neutron star, maybe you didn't know this, is only a millimeter thick, and it actually has regular atoms on it, like helium and iron.
[01:11:30.560 --> 01:11:33.120] I remember, I mean, I've known that for a few years.
[01:11:33.120 --> 01:11:38.720] I just didn't think there were anything really any normal elements in a neutron star, but there are on the surface.
[01:11:38.720 --> 01:11:47.200] The gravity and pressure on the surface is nasty, of course, but it's not enough to overcome the structural integrity that atoms have that are there.
[01:11:47.200 --> 01:11:48.160] So, why do you think?
[01:11:48.160 --> 01:11:48.640] What do you think?
[01:11:48.640 --> 01:11:54.080] What is it about the structural integrity of the atoms that prevents them from changing dramatically?
[01:11:54.400 --> 01:11:56.240] It's one answer, and there's multiple.
[01:11:56.320 --> 01:11:58.960] The one answer is the electrostatic repulsion, right?
[01:11:58.960 --> 01:12:00.520] Cologne repulsion.
[01:12:00.920 --> 01:12:03.400] I luck that you knew we weren't actually going to answer that question.
[01:12:06.600 --> 01:12:08.040] Not even give us a second to try.
[01:12:08.360 --> 01:12:09.080] I planned it.
[01:12:09.080 --> 01:12:14.120] I planned on using it, and I got a couple more questions, but that was the easiest one, but I just didn't feel like waiting.
[01:12:14.120 --> 01:12:20.200] So, the electrostatic repulsion, that's like charges repelling each other, right?
[01:12:20.200 --> 01:12:27.640] So, positive protons, for example, they can't get too close together, they can't get too close to each other because of this electrostatic repulsion.
[01:12:27.640 --> 01:12:31.400] They just don't want to get too close, unless, of course, you apply enough force.
[01:12:31.400 --> 01:12:42.120] So, a little deeper into the crust, though, and the forces and the pressures have ramped up enough to create a phenomenon that they're very confident about called neutron drip.
[01:12:42.360 --> 01:12:47.160] This they've known about for a while, and they seem like, yeah, yeah, it exists.
[01:12:47.720 --> 01:12:48.520] That was my take.
[01:12:48.520 --> 01:12:57.640] So, a neutron drip, now it's not a type of old-fashioned coffee, although if it were Jay, I'm sure Jay is thinking that if it really were coffee, it'd be better than current coffee.
[01:12:57.640 --> 01:13:08.920] But no, a neutron drip happens when neutrons experience two things at the same time: the intense gravity that's down there, plus the repulsion of the strong force, which doesn't like it when neutrons get that close.
[01:13:08.920 --> 01:13:21.000] So, these forces are battling out at that level, and that force battle allows the neutrons to essentially leave the nucleus and become independent and stable.
[01:13:21.480 --> 01:13:33.640] And if you think about it, or if you're familiar with neutrons a little bit, that's amazing because neutrons are not, are surprisingly, not known to be hanging out by themselves.
[01:13:34.040 --> 01:13:36.120] If you see one, it's in a nucleus.
[01:13:36.120 --> 01:13:38.440] It's kind of like quarks in that sense.
[01:13:38.440 --> 01:13:47.760] And it's amazing because if you did take a neutron out from a normal nucleus of an atom, it would decay in about, on average, in 14 minutes.
[01:13:48.080 --> 01:13:56.320] So the only thing keeping a neutron stable and lasting indefinitely, essentially, is because it's in a nucleus.
[01:13:56.320 --> 01:14:16.400] Or apparently, if you have it within the crust of a neutron star and the pressures are so intense that it can actually, the pressures and the other forces are so intense that the neutron star can leave the nucleus, the neutron drip, as they call it, then it can be stable and it can be independent and it can last indefinitely.
[01:14:16.400 --> 01:14:23.840] So that's kind of like the only way a neutron star can be independent is to be within these certain layers of a neutron star crust.
[01:14:23.840 --> 01:14:26.720] Okay, so now we've got the neutron drip area.
[01:14:26.720 --> 01:14:30.640] If you go a little bit deeper in the crust, now that's where the magic happens.
[01:14:30.640 --> 01:14:33.440] That's where we have nuclear pasta.
[01:14:33.440 --> 01:14:35.200] And I'm just not joking about any of this.
[01:14:35.200 --> 01:14:36.400] This is legit.
[01:14:36.640 --> 01:14:40.000] And this has nothing to do with spaghettification near a black hole.
[01:14:40.000 --> 01:14:41.600] Nothing to do with spaghettification.
[01:14:41.600 --> 01:14:43.200] This is nuclear pasta.
[01:14:43.200 --> 01:14:44.800] That's another good book title.
[01:14:44.800 --> 01:14:47.920] Nuclear Pasta Has Nothing to Do with Spaghettification.
[01:14:47.920 --> 01:14:48.960] Yeah, love it.
[01:14:48.960 --> 01:14:50.720] It's also a good band name.
[01:14:51.040 --> 01:14:59.600] All right, so a nuclear pasta, like the neutron drip, it arises when there's a special balance of forces acting on the neutrons and the protons.
[01:14:59.840 --> 01:15:03.600] There's this strong force trying to keep neutrons and protons close, right?
[01:15:03.600 --> 01:15:09.120] That's what one of the things that the strong force or the residual strong force, what it really is, that's what it does.
[01:15:10.160 --> 01:15:12.800] If you get close enough, bam, you are locked in.
[01:15:12.800 --> 01:15:14.160] Super strong force.
[01:15:14.160 --> 01:15:21.000] But then there's also the electrostatic force called the Coulomb force, which I just mentioned above, that's trying to keep the like charges apart.
[01:15:20.800 --> 01:15:21.360] Okay, okay?
[01:15:21.360 --> 01:15:28.720] So this other competition that's happening creates distorted shapes within the neutrons and the proton.
[01:15:28.720 --> 01:15:33.160] It distorts them into stable shapes for this nuclear matter.
[01:15:29.600 --> 01:15:36.680] So it will hang out, it will last, and they are stable.
[01:15:37.000 --> 01:15:46.360] So the first shapes that are created, as you're going down, going down into the crust, the first shapes created are semispherical collections of hundreds of neutrons and protons.
[01:15:46.360 --> 01:15:47.640] What do you think they call that?
[01:15:47.640 --> 01:15:50.760] You got it's semi-spherical, not a meatball.
[01:15:50.760 --> 01:15:52.200] You might think maybe a meatball.
[01:15:52.200 --> 01:15:53.160] Not a meatball.
[01:15:53.160 --> 01:15:55.080] They call that gnocchi.
[01:15:55.080 --> 01:15:59.560] Kind of like an Italian dumpling, if you want to look at it that way.
[01:15:59.960 --> 01:16:01.720] Gnockey is called potato.
[01:16:01.720 --> 01:16:02.440] Huh?
[01:16:02.760 --> 01:16:04.840] Gnocchi is made out of potato.
[01:16:04.840 --> 01:16:09.800] It's still considered part of nuclear pasta, and I don't want to hear any guff from you.
[01:16:09.800 --> 01:16:16.760] So I love the scientists that just, that this naming convention, if you're not, if it's not obvious, I just love this so much.
[01:16:16.760 --> 01:16:18.760] All right, you go a little deeper into the crust.
[01:16:19.000 --> 01:16:25.080] The gnocchi are crushed together into groups of thousands of nucleons, creating these long rods.
[01:16:25.080 --> 01:16:28.200] What phase of nuclear matter is that?
[01:16:28.200 --> 01:16:29.560] It's the spaghetti.
[01:16:29.560 --> 01:16:30.680] It's spaghetti.
[01:16:30.680 --> 01:16:33.720] Long rods of nuclear pasta.
[01:16:33.720 --> 01:16:35.400] Of course, you're going to call that spaghetti.
[01:16:35.400 --> 01:16:39.320] That's the spaghetti phase of nuclear degenerate matter.
[01:16:39.320 --> 01:16:47.080] Okay, you go deeper down, and then the forces get even stronger and stronger, and then these rods are fused together to form sheets.
[01:16:47.080 --> 01:16:47.960] You got sheets.
[01:16:47.960 --> 01:16:49.080] Now, what phase is that?
[01:16:49.400 --> 01:16:49.880] Lasagna.
[01:16:50.040 --> 01:16:50.200] Yes.
[01:16:50.440 --> 01:16:50.920] All right.
[01:16:50.920 --> 01:16:53.240] The non-Italian lasagna.
[01:16:53.240 --> 01:16:54.120] Thank you, Evan.
[01:16:54.120 --> 01:16:55.480] So that's a lasagna phase.
[01:16:55.480 --> 01:16:58.520] And it's so nice to see lasagna pasta represented here.
[01:16:58.520 --> 01:16:59.480] It made me very happy.
[01:16:59.480 --> 01:17:03.080] Usually they don't go with the lasagna connection.
[01:17:03.080 --> 01:17:07.240] All right, a little deeper, a little deeper, and there's another phase of nuclear matter.
[01:17:07.240 --> 01:17:10.120] And this looks like spaghetti, but it's not.
[01:17:10.120 --> 01:17:12.280] There's a hole running down the center of it.
[01:17:12.360 --> 01:17:15.440] And this is, I wasn't even really aware of this.
[01:17:15.760 --> 01:17:16.160] What?
[01:17:16.160 --> 01:17:17.440] Buccatini.
[01:17:14.440 --> 01:17:18.880] Wow, Steve, nice.
[01:17:19.520 --> 01:17:24.320] I wasn't familiar with Buccatini, but it looks like spaghetti.
[01:17:24.320 --> 01:17:26.400] Long and skinny, but there's a hole down the center.
[01:17:26.400 --> 01:17:30.160] And it's also in the crust of neutron stars.
[01:17:30.160 --> 01:17:33.360] Now, apparently, Buccatini is found around Rome.
[01:17:33.360 --> 01:17:39.840] And I'm going to be there in September, and I'm determined to get some so I could talk about nuclear pasta to the native Italians.
[01:17:39.840 --> 01:17:47.120] So I'm trying to learn how to say degenerate nuclear matter and pasta and nuclear pasta in Italian.
[01:17:47.120 --> 01:17:47.840] And I think I got it.
[01:17:47.840 --> 01:17:51.440] Materia, nuclear, degenerata, and pasta, nucleate.
[01:17:51.440 --> 01:17:52.560] So I think I'm good.
[01:17:52.560 --> 01:17:52.880] All right.
[01:17:52.880 --> 01:17:55.200] So the nuclear pasta is tough stuff.
[01:17:55.200 --> 01:17:56.240] Steve, you're going to like this.
[01:17:56.240 --> 01:18:01.600] Some researchers claim that the strongest known material in the universe is nuclear pasta.
[01:18:01.920 --> 01:18:04.640] One measurement, and Steve, you've heard of this, I'm sure.
[01:18:04.880 --> 01:18:10.800] One way to measure a material's strength, and there's lots of different types of strength, is shear modulus, right?
[01:18:11.280 --> 01:18:15.840] That measures the resistance to deformation, specifically shear deformation.
[01:18:15.840 --> 01:18:19.200] Okay, that's just one way to measure the toughness of a material.
[01:18:19.200 --> 01:18:20.240] And it's an important one.
[01:18:20.240 --> 01:18:23.920] Now, diamond probably has the highest shear modulus that we know of.
[01:18:23.920 --> 01:18:26.960] It's 10 to the 12 ergs per cubic centimeter.
[01:18:26.960 --> 01:18:28.560] And erg is just a unit of energy.
[01:18:28.560 --> 01:18:29.520] Don't worry about that.
[01:18:29.520 --> 01:18:31.120] It's got 10 to the 12.
[01:18:31.760 --> 01:18:34.240] That's 10 times higher than most metals.
[01:18:34.240 --> 01:18:34.800] So diamond.
[01:18:34.880 --> 01:18:35.360] It's tough number.
[01:18:35.600 --> 01:18:36.640] Diamond is tough stuff.
[01:18:36.640 --> 01:18:37.360] It's only a billion.
[01:18:37.520 --> 01:18:38.160] Yeah, 10 to 12.
[01:18:38.160 --> 01:18:39.120] It's just a billion.
[01:18:39.600 --> 01:18:41.840] So a billion ergs per cubic centimeter.
[01:18:42.320 --> 01:18:45.520] That's the toughest material that we really know.
[01:18:45.520 --> 01:18:47.520] Nuclear pasta was calculated.
[01:18:47.520 --> 01:18:54.960] Some awesome scientists decided, I'm going to test how theoretically tough nuclear pasta is.
[01:18:54.960 --> 01:19:01.640] They came up with a shear modulus of 10 to the 30 ergs per cubic centimeter compared to 10 to the 12.
[01:18:59.920 --> 01:19:03.240] That's a nanillion ergs.
[01:19:03.240 --> 01:19:03.640] There you go.
[01:19:03.640 --> 01:19:04.120] That's what I'm doing.
[01:19:04.360 --> 01:19:04.680] There you go.
[01:18:59.920 --> 01:19:05.800] Everyone's waiting for that.
[01:19:06.440 --> 01:19:10.520] Nanillion ergs or a million trillion trillion ergs.
[01:19:10.520 --> 01:19:12.280] That's a ridiculous number.
[01:19:12.840 --> 01:19:14.440] Well, everyone knows what a nanillion is.
[01:19:15.000 --> 01:19:15.880] Well, yeah.
[01:19:15.880 --> 01:19:16.760] 10 to the 30.
[01:19:17.080 --> 01:19:23.080] But nuclear pasta then, therefore, has roughly one quintillion times the strength of diamond.
[01:19:23.080 --> 01:19:24.680] Talk about al dente.
[01:19:24.680 --> 01:19:27.800] And I've been waiting for that damn line all day.
[01:19:28.600 --> 01:19:30.520] So that's nuclear pasta.
[01:19:30.520 --> 01:19:31.720] Isn't it delicious?
[01:19:32.040 --> 01:19:34.120] Now, we're not sure what's in the core.
[01:19:34.120 --> 01:19:41.160] If you keep going down towards the core of the neutron star, yeah, we're not too sure, but it's got to be some crazy shit, right?
[01:19:41.160 --> 01:19:42.280] Just guaranteed.
[01:19:42.600 --> 01:19:51.800] Most theories, I think most people would say that the degenerate matter in the core of a neutron star has to be something beyond a neutron and proton nuclear pasta.
[01:19:51.800 --> 01:19:54.440] It's probably quark gluon plasma.
[01:19:54.440 --> 01:19:55.880] We've talked about that on the show.
[01:19:55.880 --> 01:19:57.000] Fascinating stuff.
[01:19:57.000 --> 01:19:58.280] Don't even get me started on it.
[01:19:58.280 --> 01:19:59.720] But that's probably what's in the core.
[01:19:59.960 --> 01:20:03.080] But we're not really totally sure about that.
[01:20:03.160 --> 01:20:04.280] It seems likely, though.
[01:20:04.280 --> 01:20:07.880] So you might now be wondering: so, what the hell is the new research?
[01:20:07.880 --> 01:20:09.880] Because this is all just background I'm giving you.
[01:20:09.880 --> 01:20:12.040] I haven't even gotten to the meat of this.
[01:20:12.200 --> 01:20:13.240] That's right, Carol.
[01:20:13.240 --> 01:20:17.800] So, but I know it's basically impossible to top nuclear pasta, but I will try my best.
[01:20:17.800 --> 01:20:24.920] So, these researchers essentially filled in the gap between the neutron drip phenomenon and the nuclear pasta.
[01:20:24.920 --> 01:20:27.480] Okay, get your imaginations going again.
[01:20:27.480 --> 01:20:29.320] Imagine we're going down through the crust.
[01:20:29.320 --> 01:20:34.440] We're going past the surface, and the first thing we encounter in the crust is the neutron dripping, right?
[01:20:34.600 --> 01:20:35.560] The neutron dripped.
[01:20:35.800 --> 01:20:36.840] We talked about that.
[01:20:36.840 --> 01:20:38.200] That's the first thing you see.
[01:20:38.200 --> 01:20:43.760] That's where the nucleus is independent and kind of gets squeezed out of the nucleus of the atoms.
[01:20:43.240 --> 01:20:49.280] But then after that, there's the nuclear pasta.
[01:20:49.840 --> 01:21:03.120] But in between those two, in between the dripping neutrons and the nuclear pasta, the researchers wanted to see if they could find a proton drip phenomena, which is similar to neutron, but they couldn't, nobody really knew for sure.
[01:21:03.120 --> 01:21:06.720] Some scientists were saying, yes, proton drips exist.
[01:21:06.720 --> 01:21:13.120] Other scientists were saying, no, we couldn't find any evidence of the proton drip phenomena.
[01:21:13.120 --> 01:21:16.640] So they were looking at it from a new theoretical perspective, a new way of looking at it.
[01:21:16.640 --> 01:21:35.360] And it seems, and their conclusion was that at very specific depths in the crust, protons can also separate from the nucleus and form their own exotic phase of matter, just like neutrons can form their own exotic phase of matter in terms of these neutron drips where they conglomerate together outside.
[01:21:35.360 --> 01:21:38.480] They leave the nucleus and become their own phase of matter.
[01:21:38.480 --> 01:21:41.200] And this is before it becomes the nuclear pasta.
[01:21:41.200 --> 01:21:44.960] It's above, this is above depth-wise, the nuclear pasta.
[01:21:44.960 --> 01:21:56.160] So the lead researcher and theoretical physicist, Achim Schwenk, said, We were also able to show that this phase favors the phenomenon of nuclear pasta.
[01:21:56.160 --> 01:22:05.840] So that was awesome because not only did they discover this proton drip, they discovered that it helps kind of shore up the whole idea of nuclear pasta.
[01:22:05.840 --> 01:22:08.480] So that was just an awesome bonus right there.
[01:22:09.280 --> 01:22:17.200] So proton drip not only improves our confidence and understanding of nuclear pasta, it helps us model the entire crust of neutron stars.
[01:22:17.200 --> 01:22:24.080] You know, things like how electrical conductivity works inside there, how thermal transport works inside of neutron stars, and more.
[01:22:24.080 --> 01:22:34.520] And all of that, once we have a good handle on that and you know what's going on inside, then that will influence what we can observe, you know, how we interpret what we observe.
[01:22:34.600 --> 01:22:48.840] So we can see if we see some bizarre things happening or some mysterious thing happening with neutron stars, and there's plenty of them, we can then tie it back into what we know about the internal structure of the neutron star itself and make sense of what we're seeing.
[01:22:49.560 --> 01:22:55.000] Schwenk says: the better we can describe neutron stars, the better we can compare with astrophysical observations.
[01:22:55.000 --> 01:23:03.640] So, yeah, this could, in a sense, revolutionize or really greatly help the study and understanding of what's going on in these amazing objects.
[01:23:03.640 --> 01:23:12.040] So, in conclusion, my only hope now is that whatever exotic degenerate fluid we ultimately find in the core, somebody will call it spaghetti sauce.
[01:23:12.040 --> 01:23:13.080] Spaghetti sauce.
[01:23:13.080 --> 01:23:14.120] And that's all I got.
[01:23:14.680 --> 01:23:15.880] All right, thanks, Bob.
[01:23:15.880 --> 01:23:16.680] Are you guys hungry?
[01:23:17.000 --> 01:23:17.160] No.
[01:23:17.960 --> 01:23:19.480] That was actually quite filling.
[01:23:19.480 --> 01:23:24.040] Bob, when you go to Rome, you're going to get Caccioe Pepe.
[01:23:24.040 --> 01:23:24.360] Oh, yeah.
[01:23:24.520 --> 01:23:25.080] Buccatini.
[01:23:25.400 --> 01:23:26.440] That's when you get the Buccini.
[01:23:26.520 --> 01:23:28.280] Oh, is Buccatini in there?
[01:23:28.280 --> 01:23:28.600] Yes.
[01:23:28.840 --> 01:23:29.960] Typically, yes.
[01:23:29.960 --> 01:23:30.280] Okay.
[01:23:30.600 --> 01:23:31.080] It's like a.
[01:23:31.160 --> 01:23:31.960] Oh, fantastic.
[01:23:31.960 --> 01:23:34.200] That's how you know about Buccatini because we never had that at home.
[01:23:34.200 --> 01:23:35.160] That's for damn sure.
[01:23:35.160 --> 01:23:38.040] All right, Evan, tell us about the eyeball planet.
[01:23:38.040 --> 01:23:41.560] Ooh, the eye of Sauron Caesar.
[01:23:42.520 --> 01:23:51.480] Well, okay, it's an exoplanet, and its designation is LHS 1140B, as in boy.
[01:23:51.480 --> 01:23:54.360] And yeah, we've known about this for a while.
[01:23:54.360 --> 01:23:57.400] Astronomers discovered it in 2017.
[01:23:57.400 --> 01:24:02.560] And upon its discovery, it was first believed to be most likely a gas giant.
[01:24:02.560 --> 01:24:06.040] Perhaps something, what, akin to the planet Neptune, maybe?
[01:24:06.360 --> 01:24:12.520] However, a new observation with our favorite, the James Webb Space Telescope.
[01:24:12.520 --> 01:24:13.960] And James Webb is kick it.
[01:24:13.960 --> 01:24:16.000] But is it ever?
[01:24:14.120 --> 01:24:21.040] It suggests that LHS 1140b may not be a gas giant.
[01:24:14.360 --> 01:24:27.120] Instead, it could be an icy or watery world with a thick atmosphere.
[01:24:27.120 --> 01:24:27.840] Woohoo.
[01:24:27.840 --> 01:24:29.040] Oh, yep.
[01:24:29.040 --> 01:24:40.240] It could be a world completely covered in ice, similar to Jupiter's moon Europa, or be an ice world with a liquid substellar ocean and a cloudy atmosphere.
[01:24:40.240 --> 01:24:41.520] Oh my gosh.
[01:24:41.520 --> 01:24:46.160] This exoplanet, it's about 1.7 times the size of Earth.
[01:24:46.160 --> 01:24:54.800] And right now, perhaps it's the most promising habitable zone exoplanet yet that they've been able to identify.
[01:24:54.800 --> 01:24:56.800] Thank you, James Webb Telescope.
[01:24:56.800 --> 01:24:58.240] And yeah, so what?
[01:24:58.560 --> 01:25:00.000] If there's really water there?
[01:25:00.000 --> 01:25:05.120] I mean, is that not one of the, if not the best indicator for potential life?
[01:25:05.120 --> 01:25:07.680] At least as we Terrans understand life?
[01:25:08.000 --> 01:25:09.120] It's an amazing solvent.
[01:25:09.120 --> 01:25:12.480] It would be fantastic if they could prove it.
[01:25:12.480 --> 01:25:18.400] This and this ocean, Bob, may be a temperate water ocean as well.
[01:25:19.680 --> 01:25:27.360] The lead author of the paper on this discovery, his name is Charles Cadieu, and C-A-D-I-E-U-X.
[01:25:27.360 --> 01:25:29.440] I'm sorry if I butchered that.
[01:25:29.440 --> 01:25:33.520] He's a doctoral student at the University of Montreal.
[01:25:33.520 --> 01:25:49.520] And here's what he said in his statement: Of all currently known temperate exoplanets, LHS 1140B could well be our best one to date to incorrectly, to indirectly confirm liquid water on the surface of an alien world beyond our solar system.
[01:25:49.520 --> 01:25:54.720] It would be a major milestone in the search for potentially habitable exoplanets.
[01:25:56.480 --> 01:26:03.880] Bob, you know what kind of planet, what kind of star this planet orbits around, right?
[01:25:59.680 --> 01:26:05.720] I don't know what kind of star it is.
[01:26:05.880 --> 01:26:07.080] Well, would you make a guess, right?
[01:26:07.080 --> 01:26:08.840] It would be a what, red dwarf?
[01:26:08.840 --> 01:26:09.960] Isn't that usually what we talk about?
[01:26:10.440 --> 01:26:12.040] Going with the odds, I would go with that.
[01:26:12.040 --> 01:26:12.520] Yes.
[01:26:12.520 --> 01:26:14.120] Yeah, yep, yep.
[01:26:14.120 --> 01:26:17.720] And this system is only 48 light years away from Earth.
[01:26:17.720 --> 01:26:19.480] Oh, man, right around the block.
[01:26:19.800 --> 01:26:20.440] Yep.
[01:26:21.080 --> 01:26:27.080] And this planet lives in the star's habitable zone, the Goldilocks zone, which we like to talk about.
[01:26:27.080 --> 01:26:35.080] Now, here's an interesting comment: Ryan McDonald, NASA Sagan Fellow in the University of Michigan Department of Astronomy.
[01:26:35.080 --> 01:26:36.440] I love that title.
[01:26:36.680 --> 01:26:40.680] He aided in the analysis of LHS 1140B's atmosphere.
[01:26:40.680 --> 01:26:48.520] And here's what he said: This is the first time we've ever seen a hint of an atmosphere on a habitable zone, rocky or ice-rich exoplanet.
[01:26:48.840 --> 01:26:54.760] And he suggested that the team may have even found evidence of air on it.
[01:26:54.760 --> 01:26:55.800] Oh, my gosh.
[01:26:55.800 --> 01:26:56.120] Wow.
[01:26:56.440 --> 01:26:56.840] I don't know.
[01:26:56.840 --> 01:26:59.000] That might seem a little bit sure, right?
[01:26:59.000 --> 01:27:00.520] So some gases then.
[01:27:01.080 --> 01:27:01.480] Right.
[01:27:01.480 --> 01:27:02.280] Well, right.
[01:27:03.000 --> 01:27:04.440] I guess if you're having air, what?
[01:27:04.440 --> 01:27:08.600] That's a measurable atmosphere of some kind on the surface, maybe?
[01:27:09.320 --> 01:27:10.200] Yeah, no.
[01:27:10.600 --> 01:27:15.400] So when this, so this exoplanet, again, was originally discovered in 2017.
[01:27:15.400 --> 01:27:21.960] And it's been looked at by several telescopes: Spitzer Telescope, Hubble Space Telescope, the TESS, right?
[01:27:21.960 --> 01:27:22.600] Yeah, yeah.
[01:27:22.920 --> 01:27:29.960] But they said something was missing as far as their analysis goes, and that's when they turned James Webb loose on it.
[01:27:30.280 --> 01:27:41.080] And because, and they couldn't, without the webb analysis, they couldn't really determine, was this a mini Neptune, you know, kind of this gas giant planet, or is it a super-Earth?
[01:27:41.720 --> 01:28:00.080] And James Webb was able to give them some additional data to the point where they are saying now that this data has now strongly excluded the mini-Neptune scenario and confirmed the world might have a nitrogen-laced atmosphere like Earth.
[01:28:00.080 --> 01:28:00.560] Wow.
[01:28:00.560 --> 01:28:02.800] They say it's a tentative result, tentative.
[01:28:02.800 --> 01:28:04.400] It needs more study.
[01:28:04.400 --> 01:28:11.760] But the presence of a nitrogen-rich atmosphere would suggest the planet has retained a substantial atmosphere, creating conditions that might support liquid water.
[01:28:12.080 --> 01:28:14.800] So I would have to assume that this is a trend.
[01:28:14.880 --> 01:28:16.720] They discovered this through the transit method?
[01:28:17.040 --> 01:28:24.960] You know, the article did not speak to that because it was, you know, because the original discovery was back in 2017.
[01:28:25.280 --> 01:28:29.200] I would assume that's the case, Bob, but I can't say that for certain, right?
[01:28:29.200 --> 01:28:32.960] Because the transit method, I think, is how the vast majority of these are found.
[01:28:33.040 --> 01:28:38.400] Yeah, it seems likely, especially if you're determining what's in the atmosphere, you're going to capture the sunlight coming through, right?
[01:28:38.400 --> 01:28:54.560] Coming through the atmosphere, and then you see, you know, what's, you know, what that light is like, what was absorbed in the atmosphere, as opposed to what's coming from the star that doesn't go through the atmosphere, and then you can kind of just figure out, oh, these elements are in the atmosphere, if there is one.
[01:28:54.880 --> 01:28:55.360] Interesting.
[01:28:55.360 --> 01:28:56.160] I had to read about this.
[01:28:56.160 --> 01:28:57.360] This is pretty cool.
[01:28:57.360 --> 01:29:03.920] They compared this a little bit to kind of the discoveries that we've made on the TRAPPIST system, right?
[01:29:03.920 --> 01:29:13.680] Which they're taking a very close look at those planets in that particular system because it has some similarities to our own solar system here.
[01:29:13.680 --> 01:29:23.840] However, they said that when you compare this particular planet in its system versus the planets of the TRAPPIST system, that LHS 1140B appears to be calmer and less active.
[01:29:23.920 --> 01:29:25.200] I'm sorry, they're talking about the host star.
[01:29:25.200 --> 01:29:28.400] So it's LHS 1140, not B.
[01:29:28.400 --> 01:29:34.280] The star itself appears to be calmer and less active than the TRAPPIST host star, right?
[01:29:34.280 --> 01:29:43.640] Making it significantly less challenging to disentangle LHS 1140B's atmosphere from stellar signals caused by star spots.
[01:29:43.640 --> 01:30:03.000] And they made a point of that because I apparently, and this is the first I really read about this, is that the analysis with the TRAPPIST system, they're not there could be some interference by these star spots by its host star, causing interference, I guess, with the readings or the data itself.
[01:30:03.000 --> 01:30:07.720] Whereas this particular one, there's less of that fudge factor involved.
[01:30:08.280 --> 01:30:14.200] Yeah, I wonder if the TRAPPIST star is younger, because younger stars can often be very volatile.
[01:30:14.200 --> 01:30:18.920] So maybe their TRAPPIST star is younger, and that's why it's so active.
[01:30:19.400 --> 01:30:20.920] But this is a red dwarf?
[01:30:20.920 --> 01:30:21.480] Yes.
[01:30:21.480 --> 01:30:22.920] Yeah, so forget about it.
[01:30:22.920 --> 01:30:23.320] Yeah.
[01:30:24.120 --> 01:30:38.200] I mean, unfortunately, I mean, there's still, I guess, a little bit of a window, but in order to be close enough to a red dwarf to be in the habitable zone, you're going to probably be tidally locked.
[01:30:38.520 --> 01:30:39.800] You are tidally locked, Stephen.
[01:30:39.800 --> 01:30:41.400] Yes, and this is where we get to the eyeball part.
[01:30:41.560 --> 01:30:43.160] But it may be resonant.
[01:30:43.160 --> 01:30:43.800] I know.
[01:30:43.800 --> 01:30:51.800] There may be a resonant orbit where you're like, you, the planet revolves three times for every two trips around the planet or whatever.
[01:30:51.800 --> 01:30:54.680] And so it's not 100% locked, so that would be good.
[01:30:54.680 --> 01:31:07.080] But the other thing is, yeah, the red dwarfs are very active when they're young, and then they relatively calm down, but they're still way more active than a yellow star would be even when they're calm, quote-unquote, calm.
[01:31:07.080 --> 01:31:08.360] So it's a relative thing.
[01:31:08.360 --> 01:31:16.000] And the thing is, if they have an atmosphere during the early phase of this star, the atmosphere would get stripped away.
[01:31:16.000 --> 01:31:16.640] It would get stripped.
[01:31:14.920 --> 01:31:17.040] So either.
[01:31:17.440 --> 01:31:20.000] But if it's a frozen, what if it's a frozen planet?
[01:31:20.000 --> 01:31:22.720] Well, the atmosphere, why would it be frozen if it's in the habitable zone?
[01:31:22.720 --> 01:31:24.800] It's kind of that's the conundrum.
[01:31:24.800 --> 01:31:25.280] So either.
[01:31:25.520 --> 01:31:33.520] Well, it could be at the far edge, but because those stars are so small, you'd have to be very close to be in the habitable zone.
[01:31:34.240 --> 01:31:36.960] Chances are it's going to be kind of nasty.
[01:31:37.120 --> 01:31:44.000] And what they see as an atmosphere could potentially be like, you know, rock, just be vaporized rock.
[01:31:44.000 --> 01:31:45.920] That's just if it's too close.
[01:31:46.320 --> 01:31:57.120] But the sort of sliver of hope is that the planet reconstitutes an atmosphere after the red dwarf relatively calms down.
[01:31:57.120 --> 01:32:03.600] Or it was a planet that was farther away and then migrated in later in the age of the star.
[01:32:03.600 --> 01:32:05.280] So a lot of unknowns here.
[01:32:05.280 --> 01:32:15.120] Yeah, there's some wiggle room there, but it's just not a great candidate for Earth-like or habitable planets.
[01:32:15.120 --> 01:32:23.600] We're much at the sweet spot is probably orange stars in terms of their longevity and habitability.
[01:32:24.400 --> 01:32:25.360] I get that.
[01:32:25.600 --> 01:32:26.560] I totally get that.
[01:32:26.560 --> 01:32:33.680] But they still, you know, I guess what, an artist rendition, or I guess the computer models are suggesting that if, if, Steve, I get it's an if.
[01:32:33.680 --> 01:32:41.920] If this is a snow, if this is a frozen world, basically, that is somehow close and hasn't been totally stripped away, okay?
[01:32:42.240 --> 01:32:58.880] And but one side is constantly facing its star, then what could be happening is that a patch of the surf of the planet that is facing the star could be quote-unquote melted away essentially, revealing what would be an ocean.
[01:32:58.880 --> 01:33:09.880] And hence that if you if you envision that, there would be your eyeball, sort of like that patch of a circle within the sphere.
[01:33:09.880 --> 01:33:11.640] And I'll leave with this.
[01:33:12.200 --> 01:33:13.560] Who's quoted this?
[01:33:13.560 --> 01:33:14.920] Okay, this is part of the analysis.
[01:33:14.920 --> 01:33:26.040] Current models indicate that if LHS 1140b has an Earth-like atmosphere, it would be a snowball planet with a bullseye ocean about 4,000 kilometers in diameter.
[01:33:26.040 --> 01:33:33.640] And the surface temperature of the ocean may very well even be a comfortable 20 degrees Celsius or 68 degrees Fahrenheit.
[01:33:34.200 --> 01:33:35.160] That's a weird speculation.
[01:33:35.160 --> 01:33:36.280] I mean, how do you speculate that?
[01:33:36.280 --> 01:33:36.840] Does something work?
[01:33:37.000 --> 01:33:40.920] Yeah, and they admit more, more, more is needed.
[01:33:41.240 --> 01:33:44.520] More time, I guess, more analysis with James Webb on this one.
[01:33:44.520 --> 01:33:48.680] But it's fascinating, and it was certainly a stunning visual of the eye.
[01:33:48.840 --> 01:33:49.720] Yeah, right.
[01:33:49.720 --> 01:33:51.240] And you may have heard me earlier.
[01:33:51.240 --> 01:33:53.640] I used the term Terran, right?
[01:33:55.480 --> 01:34:00.920] So there, but if there are people in the Trappist system, they would be called trapezists.
[01:34:00.920 --> 01:34:01.400] Thank you.
[01:34:02.920 --> 01:34:04.440] Trapezists.
[01:34:06.040 --> 01:34:08.680] All right, Jay, it's who's at noisy time.
[01:34:09.000 --> 01:34:12.200] All right, guys, last week I played This Noisy.
[01:34:31.560 --> 01:34:33.080] Lots of stuff going on there.
[01:34:33.080 --> 01:34:33.720] What do you think, guys?
[01:34:33.800 --> 01:34:34.840] Dot matrix print thing.
[01:34:35.000 --> 01:34:35.880] It sounds like a printer.
[01:34:35.880 --> 01:34:40.280] It definitely has a printer vibe to it, but not a regular printer.
[01:34:40.280 --> 01:34:48.960] A listener named Alex Bonert wrote in and said his guess is that this sound you played is a seismograph recording an earth tremor.
[01:34:48.960 --> 01:34:54.080] I think I've only seen a real seismograph once in my entire life in a museum.
[01:34:54.080 --> 01:34:59.680] Every other time I've seen them, it was on some type of movie where something is exploding, right?
[01:34:59.680 --> 01:35:01.760] But yeah, apparently the arm moves really quick.
[01:35:02.000 --> 01:35:05.440] Anyway, that is not correct, but that's an interesting guess.
[01:35:05.440 --> 01:35:18.320] Another listener named Mitchell Altschuller wrote in and said, hi, the noisy from the SGU podcast and uploaded on July 6, 2024 was the computer called Mother from the original Alien movie.
[01:35:18.320 --> 01:35:20.000] That is not correct.
[01:35:20.000 --> 01:35:22.080] And then I'm like, I haven't heard that in a long time.
[01:35:22.080 --> 01:35:23.760] This is the Nostromo.
[01:35:24.000 --> 01:35:27.520] So let me play you a little bit of that and you tell me what you think.
[01:35:38.000 --> 01:35:41.360] Yeah, I recognize that sound.
[01:35:41.360 --> 01:35:42.320] Definitely recognize it.
[01:35:42.800 --> 01:35:44.160] Not a bad guess.
[01:35:44.400 --> 01:35:50.480] But that is not the computer on the Nostromo, but that movie from the movie Alien.
[01:35:50.560 --> 01:35:51.840] Freaking awesome movie.
[01:35:51.840 --> 01:35:58.960] Another listener named Nadine Johnson said, After a couple of glasses of wine and beer, my husband and I are guessing electronic roulette wheel.
[01:35:59.200 --> 01:36:03.520] And I don't think I've ever heard one of those, but this is not an electronic roulette wheel.
[01:36:03.520 --> 01:36:04.640] It's something else.
[01:36:04.640 --> 01:36:11.200] I got another guest here, a listener named Forat Janabi, and he said, Hey, Jay, long time listener, second time guesser.
[01:36:11.200 --> 01:36:13.200] Actually, my 10-year-old son is the guesser.
[01:36:13.200 --> 01:36:16.960] His guess is that it is a broken arcade machine.
[01:36:17.840 --> 01:36:23.760] I am sure that there are some broken arcade machines that sound exactly like this noisy.
[01:36:23.760 --> 01:36:25.120] But it's not correct.
[01:36:25.120 --> 01:36:28.800] But I'm going to tell, please tell your son, keep guessing, keep trying.
[01:36:28.800 --> 01:36:32.040] Life is about making mistakes and learning from our mistakes.
[01:36:29.920 --> 01:36:34.040] And I think this is awesome that he tried this.
[01:36:34.360 --> 01:36:40.680] He's not correct, but I want him to guess as many times as he can next week and the following weeks, and he'll finally get it.
[01:36:40.680 --> 01:36:43.720] All right, so guys, what the hell is this?
[01:36:43.720 --> 01:36:45.080] You guys were onto it.
[01:36:45.080 --> 01:36:47.480] This is some type of printer.
[01:36:47.480 --> 01:36:49.080] It's a 3D printer.
[01:36:49.400 --> 01:36:53.080] Not a 3D printer, but there's something special about this 3D printer.
[01:36:53.080 --> 01:36:54.600] It prints other 3D printers.
[01:36:54.600 --> 01:36:57.240] It is the fastest 3D printer in the world.
[01:36:57.320 --> 01:36:58.440] Doesn't sound like it.
[01:36:58.520 --> 01:37:00.200] Thing is cranking like crazy.
[01:37:00.200 --> 01:37:01.560] Listen to this thing again.
[01:37:01.560 --> 01:37:04.120] You really have to see a video, but this is a podcast.
[01:37:04.120 --> 01:37:05.080] But just listen to it.
[01:37:05.080 --> 01:37:07.800] It is moving super fast.
[01:37:15.400 --> 01:37:17.240] And later on, it goes.
[01:37:26.360 --> 01:37:28.200] Thing is cranking like crazy.
[01:37:29.000 --> 01:37:35.800] So yeah, the person who developed it is apparently working on making them faster and faster and faster.
[01:37:35.800 --> 01:37:38.680] So yeah, 3D printers do not have to be slow.
[01:37:38.680 --> 01:37:45.960] You know, I think a big part of the problem is being able to move the substrate, whatever you're using.
[01:37:45.960 --> 01:37:52.600] You know, like we use PLA plastic in most regular 3D printers, and then they use a resin for resin printers.
[01:37:52.760 --> 01:37:57.080] This was more of a PLA, you know, plastic printer.
[01:37:57.080 --> 01:37:59.080] It is moving super fast.
[01:37:59.080 --> 01:37:59.720] Very cool.
[01:37:59.720 --> 01:38:02.680] It's the future, and I'm really excited about that.
[01:38:03.000 --> 01:38:05.480] So, thank you all for guessing.
[01:38:05.480 --> 01:38:08.920] And good job to the win, which came.
[01:38:08.920 --> 01:38:09.400] Oh, yeah, sorry.
[01:38:10.600 --> 01:38:12.280] Did I say the winner?
[01:38:12.600 --> 01:38:13.880] Okay, sorry.
[01:38:13.880 --> 01:38:18.960] Oh, and I didn't mention the winner is Christian Sigurdsson.
[01:38:14.840 --> 01:38:21.680] And Christian guessed it the day before.
[01:38:22.000 --> 01:38:22.320] Why?
[01:38:22.480 --> 01:38:29.440] Because he's in a country that is so far ahead time-wise that he freaking guessed it on the fifth, not on the sixth.
[01:38:29.440 --> 01:38:30.720] I'm like, damn, yeah.
[01:38:30.720 --> 01:38:32.400] What time is it in the North Pole?
[01:38:32.400 --> 01:38:32.960] Yes.
[01:38:34.160 --> 01:38:39.520] I'm like, literally, like, I'm starting to do a search over here, and I realized, oh, she's just busting my stomach.
[01:38:39.520 --> 01:38:40.640] Okay, thank you.
[01:38:40.640 --> 01:38:42.000] Thank you, everyone, for guessing.
[01:38:42.000 --> 01:38:43.760] I have a new noisy for this week.
[01:38:43.760 --> 01:38:49.520] This noisy was sent in by a listener named Paul Johnson, and here it is.
[01:39:00.000 --> 01:39:01.520] Good luck on that one, guys.
[01:39:01.520 --> 01:39:02.800] Cricket sonar.
[01:39:02.800 --> 01:39:04.560] This is this, guys.
[01:39:04.560 --> 01:39:07.440] If you don't know the name of the game, it's Who's That Noisy?
[01:39:08.480 --> 01:39:14.000] Sometimes people email me and they say I'm submitting something for What's That Noisy.
[01:39:14.560 --> 01:39:17.280] But Steve's daughter actually said, Who's That Noisy?
[01:39:17.280 --> 01:39:18.320] That's the name of the game.
[01:39:18.320 --> 01:39:19.360] My God, Steve.
[01:39:20.080 --> 01:39:22.000] We've been doing the show for almost 20 years.
[01:39:22.000 --> 01:39:23.600] We came up with Who's That Noisy in what?
[01:39:23.600 --> 01:39:24.480] Year two?
[01:39:24.720 --> 01:39:26.160] No, it was later than that.
[01:39:26.160 --> 01:39:27.040] It was?
[01:39:27.040 --> 01:39:29.200] Yeah, like four or five, I think.
[01:39:29.200 --> 01:39:30.240] So, how old was she?
[01:39:30.240 --> 01:39:31.680] Like six or seven?
[01:39:31.680 --> 01:39:35.520] Yeah, but we've been saying it for years, ever since she said it when she was.
[01:39:35.600 --> 01:39:36.160] Oh, okay.
[01:39:36.160 --> 01:39:36.720] That's right.
[01:39:36.720 --> 01:39:37.600] I remember now.
[01:39:37.600 --> 01:39:38.320] Yeah.
[01:39:38.960 --> 01:39:39.520] But it's good.
[01:39:39.680 --> 01:39:40.160] All right.
[01:39:40.160 --> 01:39:42.080] I got a few announcements, guys.
[01:39:42.400 --> 01:39:46.400] So, as you know, we're coming up on our 1,000th episode.
[01:39:46.400 --> 01:39:54.080] If you enjoy this show, if you think that the content that we make has any impact on you or the world, please do consider becoming a patron.
[01:39:54.080 --> 01:39:59.280] You can go to our Patreon at www.patreon.com forward slash skepticsguide.
[01:39:59.280 --> 01:39:59.920] We'd really appreciate it.
[01:40:00.920 --> 01:40:07.800] I think I mentioned last week, as you can tell, ads are down and patrons are really what's keeping us afloat.
[01:40:07.800 --> 01:40:12.120] So we'd like to thank our current patrons and anyone who's considering to become a patron.
[01:40:12.120 --> 01:40:13.480] We'd really appreciate it.
[01:40:13.480 --> 01:40:15.080] You could join our mailing list.
[01:40:15.080 --> 01:40:15.960] This is for free.
[01:40:15.960 --> 01:40:20.840] We will send you an email every week about everything that we've accomplished the week before.
[01:40:20.840 --> 01:40:24.840] All you got to do is go to our homepage and there's a button on there for that to join that.
[01:40:24.840 --> 01:40:27.000] You can give our show a rating if you want.
[01:40:27.000 --> 01:40:28.520] That helps other people find us.
[01:40:28.760 --> 01:40:31.160] We really appreciate you doing that.
[01:40:31.480 --> 01:40:33.720] We have shows with tickets, Steve.
[01:40:33.720 --> 01:40:41.000] Now, the extravaganza, Steve, August 17th, 2:30 is when the show starts.
[01:40:41.000 --> 01:40:42.520] This is an afternoon show.
[01:40:42.520 --> 01:40:46.760] We're going to be trying some new bits in that show, and it's going to be a lot of fun.
[01:40:46.760 --> 01:40:48.680] There are tickets available if you're interested.
[01:40:48.680 --> 01:40:52.040] Again, go to the SGU's homepage for more details on that.
[01:40:52.040 --> 01:40:55.320] I have very, very, very few tickets left.
[01:40:55.320 --> 01:41:00.840] I think about six tickets left for the 1,000th live recording show, right?
[01:41:01.000 --> 01:41:02.360] This is on the 18th.
[01:41:02.360 --> 01:41:03.720] Yeah, last I checked.
[01:41:03.720 --> 01:41:05.400] I think there were six or seven tickets left.
[01:41:05.400 --> 01:41:06.760] They're going to go quick.
[01:41:06.920 --> 01:41:09.480] So if you're interested, get in there quick.
[01:41:09.720 --> 01:41:14.600] You can go to the skepticsguide.org and there's a button on there for the thousandth show.
[01:41:14.600 --> 01:41:16.600] Oh, and I almost forgot, Steve.
[01:41:16.600 --> 01:41:22.680] Patreon recently updated the platform, and we now can allow free memberships.
[01:41:22.680 --> 01:41:29.080] So if you become a free SGU member, you'll get access to one of the channels on our Discord.
[01:41:29.080 --> 01:41:32.680] We'll also give you portions of some of our premium content.
[01:41:32.680 --> 01:41:38.280] So please think about joining us for free today because what else in life is free, Steve?
[01:41:38.280 --> 01:41:39.720] So, Steve, that wraps it up.
[01:41:39.720 --> 01:41:41.720] That's what's happening in SGU land.
[01:41:41.720 --> 01:41:42.600] Back to you, brother.
[01:41:42.600 --> 01:41:42.920] All right.
[01:41:42.920 --> 01:41:43.640] Thanks, Jay.
[01:41:43.640 --> 01:41:44.520] One quick email.
[01:41:44.520 --> 01:41:47.360] This comes from Bain in Newcastle, Australia.
[01:41:47.360 --> 01:41:47.920] Bain.
[01:41:48.480 --> 01:41:49.280] Bain.
[01:41:44.760 --> 01:41:51.120] And he writes, Good day, team.
[01:41:51.280 --> 01:41:54.560] First, thank you for providing us all with this show.
[01:41:54.560 --> 01:41:58.720] I stumbled across it a few months ago and have been an avid listener ever since.
[01:41:58.720 --> 01:42:04.320] We do get emails from people who are stumbling upon our show recently, like, oh my god, there's almost a thousand episodes.
[01:42:04.320 --> 01:42:04.880] What do I do?
[01:42:04.880 --> 01:42:05.840] What do I do?
[01:42:05.840 --> 01:42:10.160] But yeah, we have advice for you if you want to know how to consume our back catalog.
[01:42:10.160 --> 01:42:14.400] Anyway, he goes on: My question relates to the latest fad of hydrogenated water.
[01:42:14.800 --> 01:42:18.880] It seems that a couple adults have turned a high school science experiment into a con.
[01:42:18.880 --> 01:42:24.480] There's a lot of studies that hydrogen is good for the body, but hydrogenated water smells scammy.
[01:42:24.480 --> 01:42:25.200] I agree.
[01:42:25.200 --> 01:42:28.320] It smells super scammy because it is.
[01:42:28.800 --> 01:42:33.760] So this is just hydrogen gas dissolved in water, right?
[01:42:34.080 --> 01:42:37.120] And the hydrogen is supposed to be good for you.
[01:42:37.120 --> 01:42:46.720] This is a classic snake oil scam in that there's really no compelling evidence that this has any health benefits.
[01:42:46.720 --> 01:42:55.600] But there's all that kind of wishy-washy evidence that's used for promotion, but doesn't really answer any questions.
[01:42:55.600 --> 01:43:01.120] So, first of all, what do you think is the main mechanistic claim made for hydrogen water?
[01:43:01.600 --> 01:43:03.440] How does it allegedly help you?
[01:43:03.440 --> 01:43:04.640] What do you guess?
[01:43:04.640 --> 01:43:05.360] I have no idea.
[01:43:05.680 --> 01:43:06.880] Flushes toxins.
[01:43:06.880 --> 01:43:09.840] That's a good guess, but that's, and they probably say that somewhere in there.
[01:43:09.840 --> 01:43:13.440] But the number one thing is it's an antioxidant.
[01:43:13.440 --> 01:43:15.200] Oh, goddammit.
[01:43:15.520 --> 01:43:16.160] Right?
[01:43:16.160 --> 01:43:23.680] And as we know very well, yeah, there's no evidence that just routinely taking oral antioxidants has any health benefit.
[01:43:23.680 --> 01:43:26.640] So right out of the gate, they're on shaky ground.
[01:43:26.640 --> 01:43:30.920] A lot of the studies are marker studies, like they're looking at this marker or that marker.
[01:43:30.920 --> 01:43:32.600] Those are virtually useless.
[01:43:29.840 --> 01:43:35.080] You can't make health claims based upon them.
[01:43:35.400 --> 01:43:41.880] That just adds information about what may or may not be happening, but it doesn't tell us that it works, that it's good for anything.
[01:43:42.200 --> 01:43:44.440] And the clinical studies are all over the place.
[01:43:44.440 --> 01:43:46.280] No consistent signal.
[01:43:46.280 --> 01:43:56.760] As one researcher who reviewed the literature said, for every study you find that says it helps, there's another one that says it doesn't help, which is sort of the classic pattern that we see for something that does not work.
[01:43:56.920 --> 01:43:59.640] There's no consistent signal there.
[01:43:59.640 --> 01:44:03.560] There's no positive studies significantly in excess of negative studies.
[01:44:03.560 --> 01:44:09.720] It's just the random distribution that we expect from a null effect.
[01:44:10.920 --> 01:44:14.840] Just, you know, again, just the mixed results that are all over the place.
[01:44:14.840 --> 01:44:18.360] So it hasn't been shown to actually have any health benefits.
[01:44:18.360 --> 01:44:21.960] The justifications that are made for it are very dodgy.
[01:44:21.960 --> 01:44:28.920] You know, there's no formal recommendation to take it as a health supplement or for it to be healthy.
[01:44:28.920 --> 01:44:30.760] It's basically a waste of money.
[01:44:30.760 --> 01:44:36.440] And I have patients who have specifically asked me about hydrogenated water, and I basically tell them, there's no evidence that it works.
[01:44:36.680 --> 01:44:37.720] Just save your money.
[01:44:37.960 --> 01:44:39.240] And this has been around for a while.
[01:44:39.240 --> 01:44:40.920] This is not a very recent fad.
[01:44:41.320 --> 01:44:44.120] We wrote about this on science-based medicine years ago.
[01:44:44.120 --> 01:44:48.840] But, you know, these things have second lives on TikTok and social media.
[01:44:49.000 --> 01:44:52.360] Have you seen the TikTok lady that's like really making the rounds?
[01:44:52.360 --> 01:44:59.800] I mean, it's a little old now, where she's like, as you know, water does not have hydrogen, and it's not hydrogenating.
[01:45:00.120 --> 01:45:01.400] And you're like, what?
[01:45:01.400 --> 01:45:01.800] Oh, my God.
[01:45:02.040 --> 01:45:02.680] What?
[01:45:03.480 --> 01:45:09.880] And so she's trying to, yeah, sell hydrogen-rich water, but she makes these insane, like, she doesn't know what food-based.
[01:45:09.880 --> 01:45:10.440] What water is.
[01:45:10.760 --> 01:45:11.400] Oh, yeah, right.
[01:45:11.640 --> 01:45:11.880] Yeah.
[01:45:12.200 --> 01:45:12.680] Totally.
[01:45:13.320 --> 01:45:14.920] And it's just so many people are like, say, what?
[01:45:15.520 --> 01:45:16.640] It's so scary.
[01:45:16.880 --> 01:45:20.240] Do not mix your hydrogenated water with hydrogenated oil.
[01:45:20.240 --> 01:45:21.120] That is the rule.
[01:45:21.120 --> 01:45:25.040] Or how about if you mix your hydrogenated water with oxygenated water?
[01:45:25.040 --> 01:45:26.880] Then what happens is explode.
[01:45:27.200 --> 01:45:28.480] Or do you just get more water?
[01:45:29.280 --> 01:45:30.800] Explode it to more water?
[01:45:30.800 --> 01:45:31.360] Yeah.
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[01:48:35.880 --> 01:48:38.520] All right, let's move on with science or fiction.
[01:48:40.440 --> 01:48:45.000] It's time for science or fiction.
[01:48:49.760 --> 01:48:58.400] Each week I come up with three science new guiding bird facts: two real, one fake, and I challenge my panel of skeptics to tell me which one is the fake.
[01:48:58.400 --> 01:49:03.440] We have a theme this week, and the theme is evolution.
[01:49:03.440 --> 01:49:06.000] You guys know a lot about evolution, don't you?
[01:49:06.000 --> 01:49:06.480] Well, sure.
[01:49:06.480 --> 01:49:07.280] I've heard about it.
[01:49:07.280 --> 01:49:07.920] Yeah, all right.
[01:49:07.920 --> 01:49:11.760] We'll see if you know modern evolution research I know about.
[01:49:12.080 --> 01:49:14.240] Well, tell me what you know about these things.
[01:49:14.240 --> 01:49:14.720] Ready?
[01:49:14.720 --> 01:49:28.080] Number one: evolutionary ideas go back to ancient Greek philosophy, going back to Anaximander, who postulated survival of the fittest and that humans evolved from fish.
[01:49:28.400 --> 01:49:36.560] I number two: the North American pronghorn antelope is actually most closely related to African giraffes.
[01:49:36.880 --> 01:49:48.320] And number three, although not confirmed until recently, in retrospect, the oldest pterodactyl specimen was discovered in Germany in the 14th century.
[01:49:48.320 --> 01:49:49.680] Bob, go first.
[01:49:49.680 --> 01:49:50.720] Hey, Bob.
[01:49:51.040 --> 01:49:52.080] Oof.
[01:49:53.600 --> 01:49:55.520] You always start with a, what is that called?
[01:49:55.840 --> 01:49:58.400] Ancient applosive.
[01:49:58.800 --> 01:50:00.080] I don't want to pee you up.
[01:50:00.080 --> 01:50:00.640] Thank you.
[01:50:00.960 --> 01:50:06.160] Okay, so evolutionary ideas go back to ancient Greek philosophy.
[01:50:06.480 --> 01:50:09.760] I've never heard of that going back that far.
[01:50:10.080 --> 01:50:12.240] What year was Anaximander?
[01:50:12.400 --> 01:50:13.440] 600 BC.
[01:50:13.440 --> 01:50:14.400] Oof.
[01:50:14.400 --> 01:50:15.200] Wow.
[01:50:15.920 --> 01:50:19.840] They know that because they found a coin with 600 BC marked on it.
[01:50:20.080 --> 01:50:20.560] Okay, gotcha.
[01:50:21.120 --> 01:50:26.280] I said, North American pronghorn, most closely related to African giraffes.
[01:50:26.080 --> 01:50:26.920] Hmm.
[01:50:27.280 --> 01:50:32.360] I mean, that's far away, but it wasn't as far a long time ago.
[01:50:29.760 --> 01:50:33.560] I guess it's possible.
[01:50:33.800 --> 01:50:41.320] It doesn't seem like, oh, yeah, no-brainer, no, for sure, but it's not really that crazy.
[01:50:41.320 --> 01:50:47.960] And pterodactyl specimens discovered in Germany, but not recognized, but it was discovered in the 14th century.
[01:50:47.960 --> 01:50:55.000] I just don't know where, if how unreasonable it would be for pterodactyls to be discovered in Germany.
[01:50:55.000 --> 01:50:58.440] If, you know, have there been other pterodactyls discovered there?
[01:50:58.440 --> 01:51:00.840] I think maybe not, but I don't know.
[01:51:00.840 --> 01:51:05.400] And I don't know how crazy it would be that they were discovered if they were discovered there.
[01:51:05.400 --> 01:51:11.720] You know, if there was like never been a hint of any pterodactyls, and then, oh, yeah, we found one in Germany centuries ago.
[01:51:11.720 --> 01:51:14.840] That I might want to say that that's fiction, but I just don't know.
[01:51:14.840 --> 01:51:25.560] So the only one that's directly saying no way is Greek philosophy, survival of the fittest, and that we evolved from sea life.
[01:51:25.560 --> 01:51:26.520] I mean, come on.
[01:51:26.520 --> 01:51:27.400] I would have heard of that.
[01:51:27.400 --> 01:51:28.680] I got to do that card.
[01:51:28.680 --> 01:51:30.200] I got to play that card.
[01:51:30.440 --> 01:51:33.160] Something I would have heard about and remembered.
[01:51:33.160 --> 01:51:34.360] So I'll say that's fiction.
[01:51:34.360 --> 01:51:36.040] But I'm probably wrong.
[01:51:36.040 --> 01:51:37.240] Okay, Jay.
[01:51:37.240 --> 01:51:44.520] Although not confirmed until recently, in retrospect, the oldest pterodactyl specimen was discovered in Germany in the 14th century.
[01:51:44.520 --> 01:51:47.480] Wow, so they're saying they found it in the 14th century.
[01:51:47.800 --> 01:51:48.520] Wow.
[01:51:48.520 --> 01:51:50.120] Well, I have never heard of that.
[01:51:50.120 --> 01:51:50.920] That's interesting.
[01:51:50.920 --> 01:51:51.320] All right.
[01:51:51.320 --> 01:51:52.360] I'm not sure about that.
[01:51:52.520 --> 01:51:53.000] I don't know.
[01:51:53.320 --> 01:51:55.240] I gotta let me let that sit for a second.
[01:51:55.240 --> 01:52:01.720] The second one: the North American pronghorn antelope is actually most closely related to African giraffes.
[01:52:01.720 --> 01:52:03.800] The pronghorn is a beautiful antelope.
[01:52:03.800 --> 01:52:05.000] Have you guys ever seen one?
[01:52:05.000 --> 01:52:05.400] Yeah.
[01:52:05.400 --> 01:52:06.120] No, I haven't.
[01:52:06.120 --> 01:52:07.000] You'll never forget it.
[01:52:07.000 --> 01:52:09.960] When you see their antlers, you'll never forget them.
[01:52:09.960 --> 01:52:11.480] They're just really cool-shaped.
[01:52:11.480 --> 01:52:19.920] Yeah, I mean, you know, I don't see why, even though giraffes have crazy long necks and everything, like, you know, they could have evolved that relatively quickly.
[01:52:19.920 --> 01:52:21.840] I think that that one's probably science.
[01:52:21.840 --> 01:52:31.760] And then the first one, going back to ancient Greek philosophy with an exomander who said that survival of the fittest and that humans evolved from fish.
[01:52:31.760 --> 01:52:39.280] Yeah, I see what Bob is saying, but there was a lot of philosophers talking at that time, saying a lot of different stuff.
[01:52:39.280 --> 01:52:39.760] True.
[01:52:39.760 --> 01:52:44.400] You know, I don't know how, if this is true, I don't know how deeply he went into any details.
[01:52:44.640 --> 01:52:48.480] I bet you it was just kind of some, if it happened, it was light speculation.
[01:52:48.480 --> 01:52:49.200] Yeah, I don't know.
[01:52:49.200 --> 01:52:53.600] I don't know if they found that pterodactyl specimen in the 14th century.
[01:52:54.160 --> 01:52:58.240] Something about that one is telling me it's not true, so I'm going to say that's the fiction.
[01:52:58.240 --> 01:52:59.440] Okay, Kara.
[01:52:59.440 --> 01:53:11.120] Okay, so I think that the North American pronghorn antelope being most closely related to the African giraffe is, I don't want to say likely, but could be science.
[01:53:11.120 --> 01:53:23.760] Mostly because there are a lot of animals like elephants, hyraxes, which are also known as rock dasses, and manatees are closely related.
[01:53:23.840 --> 01:53:25.200] And it's like, what?
[01:53:25.840 --> 01:53:34.640] And it doesn't seem likely that an antelope would be related to, or at least not more closely related to a giraffe than other antelopes.
[01:53:34.640 --> 01:53:38.160] But most of the antelopes that I know about are African.
[01:53:38.160 --> 01:53:40.800] Obviously, we do have antelopes in North America.
[01:53:40.800 --> 01:53:46.000] But it's also not uncommon for animals to have weird names that aren't actually what they are.
[01:53:46.320 --> 01:53:51.840] So, because up until we could do genetic work, we were just going, oh, it's hip kind of looks like that one's hip.
[01:53:51.840 --> 01:53:52.960] They're probably related.
[01:53:52.960 --> 01:53:58.000] So, that one I think could be science because it could be like a case of mistaken identity.
[01:53:58.000 --> 01:54:04.040] But the two that I'm grappling with right now are anaximander.
[01:54:04.360 --> 01:54:07.560] I think the thing that's bugging me about this one is survival of the fittest.
[01:54:07.560 --> 01:54:11.080] And so, I'm going to ask you a question that you probably can't tell me the answer to.
[01:54:11.400 --> 01:54:17.720] But is that our modern understanding of survival of the fittest, or was that his version of survival of the fittest?
[01:54:17.720 --> 01:54:19.480] It's survival of the fittest.
[01:54:19.480 --> 01:54:25.160] People who are stronger, faster, better, or whatever are more likely to survive and pass those traits on.
[01:54:25.160 --> 01:54:25.800] Right, okay.
[01:54:25.800 --> 01:54:27.320] So, yeah, it had nothing to do with genes.
[01:54:27.320 --> 01:54:27.960] Okay, so what's the problem?
[01:54:28.120 --> 01:54:30.520] So, clearly, I mean, clearly, it has nothing to do with genes.
[01:54:30.520 --> 01:54:35.560] But, I mean, it wasn't also about the fittest, like, okay, yeah, it wasn't about fitness.
[01:54:35.560 --> 01:54:41.400] It was about, and then the one about the pterodactyl.
[01:54:41.400 --> 01:54:50.360] Okay, so what from what I remember, the first dinosaur, and I'm going to be clear because a pterodactyl is not a dinosaur, it's a flying reptile.
[01:54:50.360 --> 01:54:54.440] The first dinosaur specimens were discovered in like the 17 or 1800s.
[01:54:54.440 --> 01:54:59.960] So, that would be a bit, that would be hundreds of years before the first dinosaur.
[01:54:59.960 --> 01:55:05.400] A pterodactyl specimen was discovered and knew that it was a pterodactyl specimen.
[01:55:05.400 --> 01:55:05.960] I don't know.
[01:55:05.960 --> 01:55:09.160] I don't think there's anything in the lore or the literature about these giants.
[01:55:09.320 --> 01:55:10.840] No, they didn't, that's the whole point.
[01:55:10.840 --> 01:55:14.280] Read their not confirmed.
[01:55:14.280 --> 01:55:14.760] Yeah.
[01:55:15.240 --> 01:55:21.080] Oh, I thought you were saying, although not confirmed until recently, that was the oldest specimen, as in the oldest.
[01:55:21.480 --> 01:55:26.840] In retrospect, looking back, oh, that was a frickin' pterodactyl they discovered in the 14th century.
[01:55:26.840 --> 01:55:29.560] But they didn't know until very recently that that's what it was.
[01:55:29.560 --> 01:55:42.920] So, what, just so that you know, the way that this is written and the way that I'm interpreting it, although not confirmed until recently, in retrospect, the oldest pterodactyl specimen, not the first one discovered, the literal geologically oldest.
[01:55:43.000 --> 01:55:48.240] No, the first one discovered the oldest specimen, not the oldest species or whatever.
[01:55:48.960 --> 01:55:50.560] It could still be the oldest specimen.
[01:55:44.600 --> 01:55:52.000] It's the oldest specimen, yeah.
[01:55:52.320 --> 01:55:57.040] Oh, yeah, that changes things a lot for me.
[01:55:57.200 --> 01:55:57.920] You're more confused.
[01:55:58.080 --> 01:56:02.000] That could happen if somebody found like a finger bone or something, had no idea what it was.
[01:56:02.240 --> 01:56:03.120] Look at this dog bone.
[01:56:03.440 --> 01:56:05.680] Let me file it away for centuries.
[01:56:05.680 --> 01:56:13.760] And it is also kind of weird to think that we didn't even notice all this really old shit in the ground until like the 17 or 1800s.
[01:56:15.840 --> 01:56:16.960] More plausible.
[01:56:16.960 --> 01:56:17.200] Yeah.
[01:56:18.240 --> 01:56:22.240] And I'm still going to say, yeah, the pterodactyl is the fiction.
[01:56:22.240 --> 01:56:22.560] Really?
[01:56:22.560 --> 01:56:23.200] Okay.
[01:56:23.360 --> 01:56:24.080] I don't know, though.
[01:56:25.120 --> 01:56:26.160] I don't feel strongly about it.
[01:56:26.400 --> 01:56:27.600] Goddamn toyn cost.
[01:56:27.600 --> 01:56:27.760] Yeah.
[01:56:28.480 --> 01:56:28.960] Okay.
[01:56:29.040 --> 01:56:30.400] Toin cost.
[01:56:31.040 --> 01:56:32.720] Pantera is a group, and Panera.
[01:56:32.960 --> 01:56:34.320] Yeah, exactly.
[01:56:35.520 --> 01:56:36.160] Cracking me up.
[01:56:36.320 --> 01:56:38.160] Pantera is also a cool car.
[01:56:38.160 --> 01:56:38.880] All these.
[01:56:38.880 --> 01:56:39.520] Oh, really?
[01:56:39.520 --> 01:56:41.120] I'll have to look that up.
[01:56:42.000 --> 01:56:43.440] But we digest.
[01:56:44.560 --> 01:56:45.520] Yeah, number one.
[01:56:45.520 --> 01:56:45.920] All right.
[01:56:45.920 --> 01:56:47.840] So, Anaximander.
[01:56:48.240 --> 01:56:50.160] Has nobody here heard of Anaximander?
[01:56:50.160 --> 01:56:52.480] Because I learned about Anaximander a very long time.
[01:56:52.640 --> 01:56:53.280] Yeah, I heard of him.
[01:56:53.520 --> 01:56:56.480] Anaximander and Anaxagoras was another one.
[01:56:56.480 --> 01:57:06.320] In fact, I had a Dungeons and Dragons character, a monk, named Axagoras, which I pulled from the name Anaxagoras, which it reminds me of Anaximander.
[01:57:06.320 --> 01:57:08.240] I just wanted to throw that out there.
[01:57:08.240 --> 01:57:13.200] So, therefore, I know a little bit about this, but here's why I think this one is science.
[01:57:13.200 --> 01:57:25.040] Because if my recollection is such, and I can credit my daughter for this because she used to want to watch Carl Sagan's Cosmos every night for several months, if not a year, before going to sleep.
[01:57:25.040 --> 01:57:30.040] So, in her room would be the CD player, you know, the DVD player and the Cosmos series.
[01:57:30.040 --> 01:57:36.680] And I believe on one of those episodes, Carl Sagan talks specifically about an axamander.
[01:57:29.760 --> 01:57:36.920] No way.
[01:57:37.320 --> 01:57:43.480] I believe it was in the context of the first thoughts about these kinds of things, including evolution.
[01:57:43.480 --> 01:57:46.360] So I'm going to say that that one's science.
[01:57:46.360 --> 01:57:49.400] If my recollection is correct, it might not be correct.
[01:57:49.400 --> 01:57:52.120] The second one about an antelope, right?
[01:57:52.600 --> 01:57:58.120] Oh my gosh, how could a North American antelope here be closely related to an African giraffe?
[01:57:58.120 --> 01:57:58.760] That's crazy.
[01:57:58.760 --> 01:58:03.480] Now, I think we've talked about situations before where there is that sort of disconnect.
[01:58:03.480 --> 01:58:16.200] Like you said, the manatee example, Kara, in which, you know, you wouldn't think, or like, I don't know, don't we share like a bunch of DNA with a sea anemone or a sponge or something, right?
[01:58:16.200 --> 01:58:23.880] So there's all sorts of weird play like that happening in the world between animals and things.
[01:58:23.880 --> 01:58:27.800] So I'm not surprised by that one, even though I don't have any hard knowledge on it.
[01:58:27.800 --> 01:58:33.320] And by the process of elimination, that means all I'm left with is the pterodactyl one, which I have no idea about.
[01:58:33.320 --> 01:58:37.080] But because that's all I'm left with to choose from, I have to go with that as the fiction.
[01:58:38.200 --> 01:58:39.080] All right.
[01:58:39.080 --> 01:58:41.640] So you're all in agreement on the antelope one.
[01:58:41.640 --> 01:58:42.440] So we'll start there.
[01:58:42.440 --> 01:58:48.440] The North American pronghorn antelope is actually most closely related to African giraffes.
[01:58:48.440 --> 01:58:54.600] You guys all think this one is science, and this one is science.
[01:58:54.600 --> 01:58:56.680] Yeah, this is kind of an easy call.
[01:58:57.000 --> 01:59:00.920] There's all kinds of screwed up taxonomy.
[01:59:00.920 --> 01:59:07.720] You could just have a whole list of things that are misnamed, or you would be shocked to find what they're most closely related to, etc.
[01:59:07.960 --> 01:59:14.600] Jay, you referred to the pronghorns, antlers, but they don't have antlers.
[01:59:14.600 --> 01:59:15.680] What are they have?
[01:59:14.920 --> 01:59:16.800] What are those things on their heads?
[01:59:17.200 --> 01:59:17.440] Horns.
[01:59:17.600 --> 01:59:18.080] Horns.
[01:59:18.560 --> 01:59:20.080] They're not really horns either.
[01:59:20.320 --> 01:59:21.040] Oh, okay.
[01:59:21.040 --> 01:59:21.680] They're not antlers.
[01:59:21.680 --> 01:59:22.400] They're not horns.
[01:59:22.400 --> 01:59:24.240] They are like rhinotez.
[01:59:24.400 --> 01:59:27.600] It's like fingernail material, isn't it?
[01:59:27.600 --> 01:59:28.240] Like dead cells.
[01:59:28.400 --> 01:59:29.760] Dead cells, a bunch of dead cells.
[01:59:30.000 --> 01:59:30.880] Is that what a horn is?
[01:59:30.880 --> 01:59:31.920] That's what a horn is.
[01:59:31.920 --> 01:59:32.720] Yeah, it's not a horn.
[01:59:33.680 --> 01:59:35.040] It's not an antler.
[01:59:36.400 --> 01:59:38.640] It's an outgrowth of bone.
[01:59:38.640 --> 01:59:39.200] Oh.
[01:59:39.200 --> 01:59:40.560] Oh, it's actual bone.
[01:59:40.560 --> 01:59:42.800] Just like on giraffes.
[01:59:43.120 --> 01:59:44.160] Oh, neat.
[01:59:44.160 --> 01:59:45.040] Wow.
[01:59:45.040 --> 01:59:45.680] Right?
[01:59:45.680 --> 01:59:46.160] Yeah.
[01:59:46.320 --> 01:59:47.920] They have the same thing.
[01:59:47.920 --> 01:59:50.800] What's the third animal, by the way, that's in that group?
[01:59:51.280 --> 01:59:54.960] What's the other animal that is most closely related to giraffes?
[01:59:54.960 --> 01:59:56.160] I think I might know that.
[01:59:56.160 --> 01:59:58.320] Oh, it's the Ocapi.
[01:59:58.720 --> 01:59:59.200] Okapi.
[01:59:59.520 --> 01:59:59.760] Yeah.
[01:59:59.760 --> 02:00:00.080] That's right.
[02:00:00.240 --> 02:00:01.200] Ocappy Ireland.
[02:00:02.320 --> 02:00:06.080] So it's not an antelope at all.
[02:00:07.680 --> 02:00:10.080] No, it looks like a zebra giraffe.
[02:00:10.400 --> 02:00:10.800] Right.
[02:00:11.440 --> 02:00:11.840] It does.
[02:00:11.840 --> 02:00:12.880] It looks like a zebra giraffe.
[02:00:12.960 --> 02:00:14.560] It's like a zebra deer, kind of.
[02:00:15.280 --> 02:00:19.280] Oh, and it's got those little horny things above its eyes.
[02:00:19.280 --> 02:00:20.320] I guess that's the same.
[02:00:20.800 --> 02:00:22.720] Those are those bony growths again.
[02:00:22.720 --> 02:00:23.280] Cool.
[02:00:23.280 --> 02:00:28.000] I could definitely see some giraffe in that bad boy for sure for the ocapi, anyway.
[02:00:28.080 --> 02:00:29.760] Oh, the okapi, definitely.
[02:00:29.760 --> 02:00:30.320] Yeah.
[02:00:30.320 --> 02:00:31.920] Those are the cute little ears.
[02:00:31.920 --> 02:00:33.520] Okay, let's go back.
[02:00:33.520 --> 02:00:34.640] Let's go back to number one.
[02:00:34.640 --> 02:00:43.120] Evolutionary ideas go back to ancient Greek philosophy, going back to Anaximander, who postulated survival of the fittest and that humans evolved from fish.
[02:00:43.120 --> 02:00:45.280] Bob, you think this one is the fiction.
[02:00:45.280 --> 02:00:47.680] Everyone else thinks this one is science.
[02:00:47.680 --> 02:00:51.920] And this one is science.
[02:00:51.920 --> 02:00:52.960] Sorry, Bob.
[02:00:52.960 --> 02:00:53.440] Whatever.
[02:00:53.440 --> 02:00:53.840] Yeah.
[02:00:53.840 --> 02:00:54.720] Wow, that's cool.
[02:00:54.720 --> 02:00:55.680] And it wasn't just him.
[02:00:55.680 --> 02:00:57.920] There were lots of guys back then, several.
[02:00:58.080 --> 02:01:00.000] Did they say survival of the fittest?
[02:01:01.240 --> 02:01:06.680] I don't know if they used that specific term, but that would threw you off by your wording.
[02:01:06.680 --> 02:01:07.240] Damn it.
[02:01:07.480 --> 02:01:10.760] But that's exactly what they were.
[02:01:10.920 --> 02:01:13.160] I mean, anyway, it was in Greek more than English.
[02:01:13.160 --> 02:01:15.880] But that's exactly what they were describing.
[02:01:15.880 --> 02:01:17.720] And it wasn't just like the strongest or whatever.
[02:01:17.720 --> 02:01:18.920] It was the most fit.
[02:01:19.880 --> 02:01:24.120] But of course, they didn't understand biology at the time.
[02:01:24.120 --> 02:01:34.040] So he thought there were like these primal forces in the universe and that these try different combinations and then the ones that work better survive longer.
[02:01:34.440 --> 02:01:39.000] But they did think that creatures evolve over time in this process.
[02:01:39.000 --> 02:01:43.160] It's almost like mix and match organs and stuff, I guess, is what they were thinking.
[02:01:43.480 --> 02:01:49.640] And he did think, and there were others who also thought that humans evolved from other creatures like fish.
[02:01:50.440 --> 02:01:58.840] It's amazing to think how long Judeo-Christian ideals, once they came on the scene, stymied this kind of thinking.
[02:01:58.840 --> 02:01:59.160] Right.
[02:01:59.480 --> 02:02:04.360] You know, even Darwin, like, it was, he was like, he didn't publish for years.
[02:02:05.080 --> 02:02:07.400] Because he was like, wanted to get it just right.
[02:02:07.400 --> 02:02:07.800] Yeah.
[02:02:07.800 --> 02:02:08.680] Yeah, I'm not going to do that.
[02:02:08.760 --> 02:02:09.240] Hey, Wallace.
[02:02:09.880 --> 02:02:11.960] Wallace is on your heels.
[02:02:11.960 --> 02:02:13.480] Oh, I better publish quick.
[02:02:13.480 --> 02:02:17.880] And they had fossils back then, mainly of marine life.
[02:02:17.880 --> 02:02:19.160] Yeah, I'm sure.
[02:02:19.160 --> 02:02:19.560] Yeah.
[02:02:19.560 --> 02:02:24.600] And then there was to come up with ideas about, well, where did these come from?
[02:02:24.600 --> 02:02:25.320] What are these?
[02:02:25.320 --> 02:02:26.120] You know?
[02:02:26.520 --> 02:02:27.960] Is that where a lot of that mythology?
[02:02:28.360 --> 02:02:33.080] So, sometimes mythology, but they also thought that this was a mineral.
[02:02:33.080 --> 02:02:39.800] That this is like, see, nature just creates these biological forms spontaneously.
[02:02:40.040 --> 02:02:41.240] Spontaneous generation.
[02:02:41.240 --> 02:02:41.720] Yeah.
[02:02:41.720 --> 02:02:48.640] A lot of interesting ideas, but there were definitely a lot of evolutionary thinking going back even to ancient Greek philosophy.
[02:02:44.760 --> 02:02:50.320] And it never went away.
[02:02:50.640 --> 02:02:56.960] You know, again, remember, like the pre-Darwin, Lamarck, right?
[02:02:56.960 --> 02:02:59.440] Lamarck was an evolutionist.
[02:02:59.600 --> 02:03:01.840] And Lamarck, he gets a bad rap.
[02:03:02.400 --> 02:03:03.040] That's remarkable.
[02:03:03.600 --> 02:03:08.000] He actually the idea of Lamarckian evolution existed before him.
[02:03:08.000 --> 02:03:12.960] He didn't really champion it, and he, by the end of his career, he had rejected it.
[02:03:13.280 --> 02:03:23.120] He set out to, so again, the idea that there's this inherent progress in evolution over time, he set out to show that that was the case.
[02:03:23.120 --> 02:03:30.800] But he did good science, he made good observations, and he actually proved the opposite and came around to it because that's what the evidence showed.
[02:03:32.080 --> 02:03:33.920] Sadly, that theory has his names.
[02:03:34.480 --> 02:03:36.480] That guy, man, I'd be so pissed at history.
[02:03:36.720 --> 02:03:37.680] Screw you, history.
[02:03:37.680 --> 02:03:39.280] Oh, he got totally screwed.
[02:03:39.280 --> 02:03:40.480] Totally screwed.
[02:03:40.480 --> 02:03:44.160] He's like, damn, if you look at the actual look at the fossils, he's a good scientist.
[02:03:44.400 --> 02:03:46.720] Everything is just adapting to its local environment.
[02:03:46.720 --> 02:03:47.840] It's all horizontal.
[02:03:47.840 --> 02:03:51.920] There's no progress inherent in the fossil record.
[02:03:51.920 --> 02:03:52.800] Beautiful.
[02:03:52.800 --> 02:03:53.200] Yeah.
[02:03:53.520 --> 02:03:54.800] But total bad rap.
[02:03:54.800 --> 02:03:55.760] Total bad rap.
[02:03:55.760 --> 02:03:56.320] All right.
[02:03:56.320 --> 02:03:57.520] We love you, Lamarck.
[02:03:57.760 --> 02:04:08.080] All of this means that, although not confirmed until recently, in retrospect, the oldest pterodactyl specimen was discovered in Germany in the 14th century is the fiction.
[02:04:09.120 --> 02:04:10.080] But I used that.
[02:04:10.080 --> 02:04:11.200] It wasn't random.
[02:04:11.360 --> 02:04:13.920] There were pterodactyls discovered in Germany.
[02:04:13.920 --> 02:04:22.560] In fact, the most complete pterodactyl specimen was discovered in Germany not too long ago, a few years ago.
[02:04:22.560 --> 02:04:28.240] And again, it's not unheard of that there were fossils discovered centuries ago.
[02:04:28.240 --> 02:04:36.280] You know, the first dinosaur fossil was named before we even knew that dinosaurs existed or that the word dinosaur existed.
[02:04:36.600 --> 02:04:38.280] And the species name still sticks.
[02:04:38.280 --> 02:04:42.280] The Megalosaurus was the first dinosaur fossil.
[02:04:42.680 --> 02:04:47.640] The species name still is Megalosaurus, even though we didn't know what it was at the time.
[02:04:47.640 --> 02:04:49.000] But it had precedence, right?
[02:04:49.000 --> 02:04:51.080] Because it was named.
[02:04:51.080 --> 02:04:57.880] I like to take topics that you know well and find nuances and nooks and crannies that are not general knowledge.
[02:04:57.880 --> 02:04:58.440] Yeah, screw you.
[02:04:58.600 --> 02:04:59.800] Serious, I guess.
[02:05:00.040 --> 02:05:01.160] When was this disco?
[02:05:01.320 --> 02:05:03.160] I mean, what about this was true?
[02:05:03.160 --> 02:05:04.120] Nothing.
[02:05:05.560 --> 02:05:06.760] You just made it up.
[02:05:07.800 --> 02:05:13.000] I just was riffing off the fact that there was a recent, really good pterodactyl specimen discovered in Germany.
[02:05:13.000 --> 02:05:14.120] That's hilarious.
[02:05:14.120 --> 02:05:15.640] All right, Evan, give us a quote.
[02:05:15.640 --> 02:05:32.680] Our illogical deference to the Earth's bounty has become so widespread that researchers had to give it a name, the appeal to nature fallacy, which occurs when we automatically assume something is better just because it's natural and likewise worse if it's not.
[02:05:33.000 --> 02:05:35.400] That was written by Rina Raphael.
[02:05:35.400 --> 02:05:41.640] Her book, The Gospel of Wellness, Jim's Gurus, Goop, and the False Promise of Self-Care.
[02:05:41.640 --> 02:05:48.920] And Rina Raphael will be joining us at SciCon 2024 this coming October, and we look forward to seeing you.
[02:05:49.240 --> 02:05:49.800] Absolutely.
[02:05:49.800 --> 02:05:56.920] And she got to correct the appeal to nature fallacy, not the naturalistic fallacy, which is something completely different.
[02:05:56.920 --> 02:05:57.480] There you go.
[02:05:57.480 --> 02:06:01.240] That's the well-ought confusion, the is-ought confusion.
[02:06:01.240 --> 02:06:04.520] This exists in nature, therefore it's the way we should be.
[02:06:04.840 --> 02:06:12.760] That's the naturalistic fallacy, as opposed to this is natural, therefore it's good and wholesome, and that's not natural, therefore it's bad and will kill you.
[02:06:12.760 --> 02:06:14.760] That's the appeal to nature fallacy.
[02:06:15.040 --> 02:06:20.240] And yes, I'm always enamored of any swipes against goop.
[02:06:23.120 --> 02:06:24.000] Absolutely.
[02:06:24.000 --> 02:06:24.720] A good target.
[02:06:24.880 --> 02:06:26.480] Worthy target, worthy target.
[02:06:26.480 --> 02:06:26.960] All right.
[02:06:26.960 --> 02:06:29.040] Well, thank you all for joining me this week.
[02:06:29.040 --> 02:06:29.600] Sure, man.
[02:06:30.000 --> 02:06:30.800] Thank you, Steve.
[02:06:30.800 --> 02:06:35.040] And until next week, this is your Skeptics Guide to the Universe.
[02:06:37.280 --> 02:06:43.920] Skeptics Guide to the Universe is produced by SGU Productions, dedicated to promoting science and critical thinking.
[02:06:43.920 --> 02:06:48.560] For more information, visit us at the skepticsguide.org.
[02:06:48.560 --> 02:06:52.560] Send your questions to info at the skepticsguide.org.
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