WEBVTT - The 2015 Ig Nobels: Unboiled Eggs & Urine Speed

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<v Speaker 1>Welcome to Stuff to Blow your Mind from House Stop

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<v Speaker 1>Work dot com. Hey, welcome to Stuff to Blow your Mind.

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<v Speaker 1>My name is Robert Lamb, I'm showing performant, and I'm

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<v Speaker 1>Christian Sager. Hey. So we have been doing periscope for

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<v Speaker 1>that we're going to keep doing that as long as

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<v Speaker 1>you are interested. So every Friday at noon we will

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<v Speaker 1>Don't forget that website Stuff to Blow your Mind dot com. Wait,

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<v Speaker 1>what's that? What's on that website? All the stuff, all

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<v Speaker 1>of it? Yeah, is that where the videos are. That's

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<v Speaker 1>where the videos are, and that's where the blog posts are,

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<v Speaker 1>That's where all the podcasts. Like some of you listen

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<v Speaker 1>to this and think all we do is the podcast,

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<v Speaker 1>but we've got a lot going on blogging. There's Robert

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<v Speaker 1>does some amazing content about butts. Yeaheah, there's a there's

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<v Speaker 1>some science on that galories and there's a monster science

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<v Speaker 1>both in video form and blog form. The latest one

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<v Speaker 1>I liked a lot, the cat Bus one. Oh yeah, yeah,

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<v Speaker 1>I just did one on the cat Bus from Totoro.

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<v Speaker 1>Just rewatched that film with my family and uh, yeah,

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<v Speaker 1>there's some cool science behind cat Bus. I've actually never

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<v Speaker 1>seen it. You've got to get on there. Well, you

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<v Speaker 1>know the other new thing that we've got going on,

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<v Speaker 1>new music at the top of the show, guys, Yeah,

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<v Speaker 1>how about that welcome a welcome change that was created

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<v Speaker 1>by our fabulous producer Noel Brown. Bravo to you, sir.

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<v Speaker 1>But also I didn't notice this until I had heard

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<v Speaker 1>it a few times. It reminds me of the Doctor

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<v Speaker 1>Who theme, you know, it's with the with the lead part. Well,

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<v Speaker 1>I like to think of us as that that. You

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<v Speaker 1>know what the Three Doctors is. It's when three friend

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<v Speaker 1>doctors from different time periods. I'll meet up together with

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<v Speaker 1>their tartises and hang out and and stop bad things

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<v Speaker 1>from happening. So we're like the three Doctors, but just

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<v Speaker 1>obviously the angry doctor. Yeah, yeah, I'm I'm Yeah, I'm

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<v Speaker 1>the curmudgeon doctor. That would be I guess I'm most

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<v Speaker 1>like Peter Capaldi. Yeah, that would be the angry doctor. Yeah.

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<v Speaker 1>So we've all met up and here we are to

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<v Speaker 1>talk about, of course what doctor the doctor would talk

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<v Speaker 1>about the ig Nobel Prizes, that's right. Yeah, So that

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<v Speaker 1>we all three decided to come together on this one

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<v Speaker 1>because there are a lot of studies we want to

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<v Speaker 1>We want to roll through them in two episodes, each

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<v Speaker 1>of us taking the head on a different study and

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<v Speaker 1>not doing a super deep dive, but giving you a

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<v Speaker 1>nice overview about what this particular study is, why it's ridiculous,

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<v Speaker 1>why in many cases it's actually important, because that's one

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<v Speaker 1>of the keys here. The Ignailed Bell Prizes have been around,

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<v Speaker 1>uh since I believe, and each year they award ten

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<v Speaker 1>prizes to various bits of research, pure viewed studies that

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<v Speaker 1>you know, it's not the kind of stuff you're gonna

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<v Speaker 1>see capturing the headlines necessarily any scientists do, blind of

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<v Speaker 1>American not winning an actual Nobel prize. Right here at

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<v Speaker 1>how Stuff Works. We've sort of developed a like sub

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<v Speaker 1>theme for studies like this, which is sometimes we publish

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<v Speaker 1>these on our Now how stuff works channel, which is

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<v Speaker 1>there's a study for that, which is the kind of

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<v Speaker 1>like can you believe somebody did this? But at the

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<v Speaker 1>same time, I think the thing about the ignobles is

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<v Speaker 1>that there's always some value and importance to the research.

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<v Speaker 1>So yeah, like I always think of in cases like this,

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<v Speaker 1>I think of science as a slime mold amaze. Right now,

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<v Speaker 1>the slime mold is expanding outward, exploring its terrain, trying

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<v Speaker 1>to find food, and so it's going down all the

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<v Speaker 1>hallways to explore. And that's what science does. And just

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<v Speaker 1>because a particular area of study seems kind of pointless

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<v Speaker 1>at first glance, or it seems just very very specific,

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<v Speaker 1>or it's trying to prove something that we already kind

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<v Speaker 1>of know in our gut, it's still important that science

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<v Speaker 1>go there because science is is mapping the universe. Yeah,

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<v Speaker 1>and some of the corners of that map are watching

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<v Speaker 1>elephants p exactly. Well, Okay, I mean I slime mold.

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<v Speaker 1>Can we stick with the gelatinous cube here? Can we

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<v Speaker 1>use a gelatinous cube or is a slim mold like

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<v Speaker 1>a very specific metaphor for ignoble science. Um, I like

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<v Speaker 1>the slime because slime old this swarm intelligence. Oh okay,

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<v Speaker 1>I see what you're saying. Okay, I'll allow it. Uh. So,

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<v Speaker 1>let's af familiarize the audience with what these things are,

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<v Speaker 1>because the first time I heard about it was in

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<v Speaker 1>one of our episodes when we were talking about necrophilia,

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<v Speaker 1>and we uh, there was a study that had previously

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<v Speaker 1>won the Ignoble, which was about a guy watching a

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<v Speaker 1>duck try to have sex with a dead duck. Some

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<v Speaker 1>of the big ones. It was like seventy minutes of

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<v Speaker 1>of him watching that with a notebook. If you really

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<v Speaker 1>want to hear the whole full story, go back and

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<v Speaker 1>sense that necrophilia episode. But uh, it's weird, but it

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<v Speaker 1>also had value to it, and so uh, let's kind

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<v Speaker 1>of encapsulate what these things are for our audience and

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<v Speaker 1>then we can dive into the tent studies. Well, the

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<v Speaker 1>principal individual here is Mark abrams Um. He's the editor

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<v Speaker 1>and co founder of Improbable Research magazine, which you can

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<v Speaker 1>find at their website. Let a link to that on

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<v Speaker 1>the landing page for this episode. And they regularly cover

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<v Speaker 1>research of this nature stuff. It's weird stuff that's a

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<v Speaker 1>little wacky, but it's still science and it's always covered

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<v Speaker 1>in essentially a loving way. Yeah. They say that it's

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<v Speaker 1>supposed to make you laugh but also make you think. Yeah.

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<v Speaker 1>I found this was true about a lot of the

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<v Speaker 1>studies we looked at this time. I I like the

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<v Speaker 1>sense that, um, it is certainly not stroking the ego

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<v Speaker 1>of the scientists who perform these studies, but it's not

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<v Speaker 1>really making fun of them either, or maybe sort of

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<v Speaker 1>making fun of them, but at least not denigrating their work.

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<v Speaker 1>I think there have only been a couple of cases

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<v Speaker 1>where because for one thing, you can nominate your own work,

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<v Speaker 1>and they get about five thousand nominations each year. But

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<v Speaker 1>I can only think of two cases offhand where the

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<v Speaker 1>individuals did not receive it warmly, one of which was

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<v Speaker 1>the U. S. Air Force over their gay bomb, which

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<v Speaker 1>they won a prize four two thousand seven. They did

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<v Speaker 1>not remember hearing about this. Yeah, they did not see

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<v Speaker 1>the humor in it. No, hold on what were the

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<v Speaker 1>details of the gay bomb. The gay bomb, as I recall,

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<v Speaker 1>was that proposed weaponized afrodisiac that you would be able

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<v Speaker 1>to throw into the enemy trenches and harmonomy morale by

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<v Speaker 1>making them, Yeah, get friendly, amorous and confused. It was

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<v Speaker 1>referenced nicely on an episode of thirty Rocks several years back.

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<v Speaker 1>But but yeah, the the the Air Force did not

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<v Speaker 1>see the humor in that. And there there have been

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<v Speaker 1>a couple of curmudgeons along you know, over the years

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<v Speaker 1>that have have come out and said, oh, well, this

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<v Speaker 1>is just you know, waste of time. For instance, the

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<v Speaker 1>ve Robert May, the British government's chief scientific advisor at

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<v Speaker 1>the time, it was a big was a big critic

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<v Speaker 1>of the Nobel Prizes and he was saying that it

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<v Speaker 1>should only be used to, you know, to ridicule anti

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<v Speaker 1>science and pseudo science, and he should leave the the

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<v Speaker 1>real scientists alone. Uh again, totally missing the point that

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<v Speaker 1>the scientists are the are the ones who enjoy this

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<v Speaker 1>the most. Don't you love people who hate humor? So

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<v Speaker 1>I let's address that for a second though, because right

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<v Speaker 1>before we came in here, I watched the almost all

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<v Speaker 1>of the ceremony for awards, which we just which is

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<v Speaker 1>what we're going to cover today. I watched a lot

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<v Speaker 1>of this too, and and I feel like you definitely

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<v Speaker 1>get the tone that they're going for if you watch

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<v Speaker 1>the ceremony. They did a great job filming it. It's

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<v Speaker 1>got multiple camera angles. It's filmed in this beautiful theater

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<v Speaker 1>at Harvard University. Um that I saw Spalding Gray at

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<v Speaker 1>that same theater, like god fifteen years ago or something

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<v Speaker 1>like that, So it was it was neat to see that.

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<v Speaker 1>But uh, the humor is very oh wacky. Yeah, it's

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<v Speaker 1>it's that kind of like academic like we don't want

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<v Speaker 1>to offend anybody humor that's just a little zany and

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<v Speaker 1>goofy and so at this at one on one hand,

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<v Speaker 1>I appreciate it, and I totally understand. Uh, I understand

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<v Speaker 1>that this guy who was it? Who? Who Robert may

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<v Speaker 1>who was so like against it in the first place. Yeah,

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<v Speaker 1>I don't understand where he's coming from. But I'm also

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<v Speaker 1>somewhat sympathetic because it's just like whacketty schmackt he do

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<v Speaker 1>zany like, you know, like jokes and stuff. Even if

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<v Speaker 1>you're not laughing with the jokes, you're still like, oh, well,

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<v Speaker 1>that's kind of adorable. Watch the old old scientists get

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<v Speaker 1>up there and kind of you know, hap uh, you know,

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<v Speaker 1>yuck it out. But I will confess though that it

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<v Speaker 1>was unbearable for me to a point that I had to.

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<v Speaker 1>I watched it on YouTube, and I had to watch

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<v Speaker 1>it on double speed, so everybody was talking really fast

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<v Speaker 1>like chipmunks. But I got the gist of everything, and

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<v Speaker 1>I paid a special Please stop, Christian, I'm bored. Yeah, yeah,

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<v Speaker 1>but please please stop. Joe tell them about what's her name,

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<v Speaker 1>Pootie Pie or I think it's called Sweetie poop child.

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<v Speaker 1>Pot Pie is the guy on YouTube. Oh, I don't

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<v Speaker 1>know anyway. Yeah, they have a little character who is

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<v Speaker 1>a child who comes up. It's like the Oscar music

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<v Speaker 1>that starts to play when people get a little too

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<v Speaker 1>much gratitude in their speech at the Oscars. Uh. And

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<v Speaker 1>they want to get you off the stage at this ceremony.

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<v Speaker 1>They've got a child who runs up to you and

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<v Speaker 1>proclaims boredom and tells you to stop talking. And she's precocious.

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<v Speaker 1>And then on top of that, then they bring back

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<v Speaker 1>all the former Sweetie poos. Did you watch that part? Didn't?

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<v Speaker 1>Every former Sweetie pooh is a part of the procession. Uh.

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<v Speaker 1>And they are like the van Ol White that kind

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<v Speaker 1>of like escort out the winners of the awards and

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<v Speaker 1>then escort them back in. And they do this whole

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<v Speaker 1>cute see poo thing where they have the sweetie poo's

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<v Speaker 1>a'll tease one another in front of the audience. It's

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<v Speaker 1>a little much. Um. Also, I grew up you have

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<v Speaker 1>a you have a very dark heart that has no

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<v Speaker 1>room for for cuteness. Well I do, and I'll allow

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<v Speaker 1>this as well. I'm from Boston and I'm very familiar

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<v Speaker 1>with Harvard University. I lived right near there for a

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<v Speaker 1>long time, and I'm very familiar with this kind of

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<v Speaker 1>humor that is, you know, it's very um yeah, twee,

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<v Speaker 1>I guess is one way to put it. So um.

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<v Speaker 1>I will warn I will warn our listeners ahead of

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<v Speaker 1>time that maybe I'm the dark heart here, but I

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<v Speaker 1>was a little put off by the zany humor. However,

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<v Speaker 1>the studies themselves are amazing. Well, let's launch into them here, Um, Joe,

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<v Speaker 1>I believe you're up first, tell us about the chemistry

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<v Speaker 1>prize winner, the Ignobil Chemistry Prize winner for two thousand. Okay,

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<v Speaker 1>so the Chemistry prize went to I'm gonna say their names,

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<v Speaker 1>and there's a lot of them, so bear with me

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<v Speaker 1>for a second. Here, Callum Ormond, Colin Raston, Tom Yuan,

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<v Speaker 1>Stephen Kudla check Samir and couldn't cha Joshua In Smith,

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<v Speaker 1>William A. Brown, Caitlin Pouglisi, Tivoli, Olson, Mariam eft Car,

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<v Speaker 1>Greg Weiss. Oh, And that's it them for demonstrating a

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<v Speaker 1>mechanical process to unboil an egg. So yes, these scientists

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<v Speaker 1>all work together. Now, I think the main scientist who

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<v Speaker 1>has involved in this process, the one at least who

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<v Speaker 1>has spoken to the media the most about it, was

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<v Speaker 1>Greg Weiss. But they came up with this mechanical process

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<v Speaker 1>to unboil an egg. Well, hold on part of an egg,

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<v Speaker 1>the egg white, and note that this is not uncooking

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<v Speaker 1>an egg, and that you can't unfry an egg or

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<v Speaker 1>unscramble an egg or on. I wonder if you could

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<v Speaker 1>unpoach and egg maybe, but at least what you can

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<v Speaker 1>do is unboiled an egg white. So the paper is

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<v Speaker 1>called and I love the academic alienation of this title

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<v Speaker 1>sheer stress mediated refolding of proteins from aggregates and inclusion bus. Yes,

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<v Speaker 1>I can call the paper is a colon and then

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<v Speaker 1>another long sentence after that. And that's one of the

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<v Speaker 1>beautiful things about the Ignabel Prizes is this is a

0:12:27.200 --> 0:12:29.440
<v Speaker 1>great example of where they really got to the heart

0:12:29.520 --> 0:12:31.280
<v Speaker 1>of what this study is in the way that the

0:12:31.320 --> 0:12:33.560
<v Speaker 1>rest of us can enjoy. Yeah, and so it was

0:12:33.559 --> 0:12:38.319
<v Speaker 1>published in January in Kim Bio Kim And here's what happened.

0:12:38.960 --> 0:12:42.320
<v Speaker 1>The researchers took an egg and then they divided the

0:12:42.360 --> 0:12:45.480
<v Speaker 1>whites from the yolk, and then they boiled the egg

0:12:45.480 --> 0:12:48.120
<v Speaker 1>whites for twenty minutes at about a hundred ninety four

0:12:48.160 --> 0:12:51.680
<v Speaker 1>degrees fahrenheit or ninety degrees c. And if you have

0:12:51.720 --> 0:12:54.080
<v Speaker 1>ever seen the white part of a hard boiled egg,

0:12:54.120 --> 0:12:56.559
<v Speaker 1>you know what we're dealing with is the final product here.

0:12:57.200 --> 0:13:00.200
<v Speaker 1>And so egg whites in their natural state are a

0:13:00.320 --> 0:13:05.480
<v Speaker 1>mixture of water and proteins, including the protein lysozyme, which

0:13:05.520 --> 0:13:08.680
<v Speaker 1>is a protein associated with immune function and more on

0:13:08.720 --> 0:13:11.440
<v Speaker 1>that in a minute. When you boil egg whites, the

0:13:11.559 --> 0:13:15.400
<v Speaker 1>folded proteins that are in the egg whites get d natured,

0:13:15.520 --> 0:13:19.040
<v Speaker 1>meaning that they sort of lose their precisely folded structure.

0:13:19.480 --> 0:13:22.800
<v Speaker 1>And that folded structure is what makes a protein do

0:13:23.360 --> 0:13:26.680
<v Speaker 1>the things that it does, sort of like what determines

0:13:26.720 --> 0:13:29.960
<v Speaker 1>its role in the in the tiny bio world that

0:13:30.000 --> 0:13:34.320
<v Speaker 1>it inhabits. And they also get all tangled together, and

0:13:34.360 --> 0:13:37.560
<v Speaker 1>they end up forming this solid block of bio jello

0:13:37.679 --> 0:13:41.800
<v Speaker 1>that we recognize as cooked egg white. Um, so that's

0:13:41.800 --> 0:13:44.360
<v Speaker 1>what normally happens when you when you boil an egg white.

0:13:44.360 --> 0:13:46.640
<v Speaker 1>It of course happened in this case as it always does.

0:13:47.360 --> 0:13:50.479
<v Speaker 1>And how do you fix this problem? So the researchers

0:13:50.720 --> 0:13:53.760
<v Speaker 1>took the boiled egg whites and dissolved them in a

0:13:54.000 --> 0:13:58.240
<v Speaker 1>urea solution to turn basically all of it into an

0:13:58.320 --> 0:14:03.120
<v Speaker 1>untangled up liquid of of unfolded proteins. So that's pretty gross.

0:14:03.200 --> 0:14:06.960
<v Speaker 1>It's a cooked egg white slurry. Then the solution was

0:14:07.040 --> 0:14:11.040
<v Speaker 1>placed into what they called a vortex fluid device. And

0:14:11.120 --> 0:14:13.400
<v Speaker 1>what this does is it's kind of like a centerfuge

0:14:13.400 --> 0:14:17.160
<v Speaker 1>but different. It spins a test tube a really high intensity.

0:14:17.240 --> 0:14:19.120
<v Speaker 1>I read one source saying it was about five thou

0:14:19.400 --> 0:14:23.280
<v Speaker 1>rpm s, so very very fast for a short time,

0:14:23.840 --> 0:14:28.120
<v Speaker 1>introducing an amazing amount of sheer stress to the film

0:14:28.200 --> 0:14:31.040
<v Speaker 1>of fluid, which is about one micron thick that built

0:14:31.120 --> 0:14:33.160
<v Speaker 1>up on the walls of the tube. And in a

0:14:33.240 --> 0:14:36.080
<v Speaker 1>quote given to the Washington Post, Greg Wise said about

0:14:36.160 --> 0:14:40.640
<v Speaker 1>the proteins in this process, they're like little elastic bands.

0:14:40.680 --> 0:14:44.880
<v Speaker 1>This stretches and unstretches them and gives them their shape back.

0:14:45.200 --> 0:14:46.840
<v Speaker 1>So it's kind of like if you, you know, stretch

0:14:46.880 --> 0:14:49.280
<v Speaker 1>out a tangled up slinky and then get it to

0:14:49.360 --> 0:14:52.160
<v Speaker 1>reform back into its original shape. But help me out

0:14:52.200 --> 0:14:54.800
<v Speaker 1>here for a second. So my understanding of the I

0:14:54.800 --> 0:14:57.440
<v Speaker 1>didn't read this study, but my understanding of what how

0:14:57.480 --> 0:15:01.520
<v Speaker 1>you're presenting it here is the dn turing process. By

0:15:01.800 --> 0:15:05.640
<v Speaker 1>zipping around at this high speed, are they they're renaturing.

0:15:06.840 --> 0:15:10.640
<v Speaker 1>They're refolding back into the original shape that the proteins

0:15:10.640 --> 0:15:13.440
<v Speaker 1>were before they were denatured by the heat. So it's

0:15:13.480 --> 0:15:15.480
<v Speaker 1>not just that they're moving something at such a high

0:15:15.480 --> 0:15:20.240
<v Speaker 1>speed that it like liquefies. No, it's it's actually re

0:15:20.680 --> 0:15:24.040
<v Speaker 1>applying the process. Yeah, they're they're undoing the work of

0:15:24.080 --> 0:15:29.520
<v Speaker 1>cooking by applying this mechanical stress. And so at the

0:15:29.680 --> 0:15:32.720
<v Speaker 1>end they were able to refold some of the proteins

0:15:32.840 --> 0:15:36.160
<v Speaker 1>back into their original shapes without it becoming tangled up

0:15:36.200 --> 0:15:38.520
<v Speaker 1>with one another in the process. That's another problem that

0:15:38.560 --> 0:15:41.120
<v Speaker 1>can happen, and it worked at the end. The solution

0:15:41.160 --> 0:15:45.000
<v Speaker 1>contained proteins comparable to uncooked egg whites, and that immune

0:15:45.240 --> 0:15:49.440
<v Speaker 1>related protein I mentioned lycenseyme that was also found to

0:15:49.520 --> 0:15:54.360
<v Speaker 1>be present in the final product and functional. Okay, So

0:15:54.480 --> 0:15:56.440
<v Speaker 1>what I want to know though, is did they make

0:15:56.480 --> 0:15:58.920
<v Speaker 1>a quiche with this afterwards? And how did it take?

0:15:59.000 --> 0:16:01.800
<v Speaker 1>You know, you couldn't because it's just the egg whites

0:16:01.880 --> 0:16:04.000
<v Speaker 1>and you really need some miolks for keysh We could

0:16:04.040 --> 0:16:06.680
<v Speaker 1>otherwise that would be pretty gross and you could make

0:16:06.720 --> 0:16:09.520
<v Speaker 1>a few different mixed drinks though, right, Oh, you probably could.

0:16:10.280 --> 0:16:14.280
<v Speaker 1>The New Orleans was sour fizz. What's it? What's it

0:16:14.320 --> 0:16:16.000
<v Speaker 1>called when you put an egg white in there? Something

0:16:16.080 --> 0:16:21.760
<v Speaker 1>jim fizz something something fizz. Gross. That's like when people

0:16:22.520 --> 0:16:25.640
<v Speaker 1>drink like oyster shots and stuff like that. It's nasty.

0:16:25.880 --> 0:16:29.520
<v Speaker 1>I have no idea what an oyster? You add oysters,

0:16:29.560 --> 0:16:32.760
<v Speaker 1>like raw oysters to it, like like a real oyster. Yeah,

0:16:33.040 --> 0:16:35.240
<v Speaker 1>that's about like having an oyster though. I mean, you

0:16:35.280 --> 0:16:37.680
<v Speaker 1>need to stop talking. You just mix it with like

0:16:37.720 --> 0:16:39.880
<v Speaker 1>booze and I think like tomato juice or something like that.

0:16:40.080 --> 0:16:45.600
<v Speaker 1>Disgusting study. Okay, So so they did it. They managed

0:16:45.640 --> 0:16:48.600
<v Speaker 1>to unboil egg whites and get them back to the

0:16:48.640 --> 0:16:52.400
<v Speaker 1>original state. A couple of things we I guess, in

0:16:52.440 --> 0:16:55.360
<v Speaker 1>case it needs stating, Why is this ridiculous? Well, I

0:16:55.400 --> 0:16:57.880
<v Speaker 1>guess it just sort of seems to contradict the folk

0:16:58.040 --> 0:17:01.880
<v Speaker 1>understanding of entropy that you can't fix what's broken. You

0:17:01.920 --> 0:17:04.840
<v Speaker 1>can't unscramble an egg, I think is an actual expression.

0:17:05.920 --> 0:17:07.879
<v Speaker 1>You might not be able to unscramble an egg, but

0:17:07.920 --> 0:17:10.120
<v Speaker 1>you can unboil an egg. Well, there's so many fun

0:17:10.160 --> 0:17:13.720
<v Speaker 1>metaphors that you can reverse with this, right. I think

0:17:13.720 --> 0:17:17.520
<v Speaker 1>it's also funny because it involves eggs, which apparently some

0:17:17.560 --> 0:17:21.720
<v Speaker 1>people just think are inherently funny objects, and slightly more

0:17:21.760 --> 0:17:25.920
<v Speaker 1>when they're boiled, especially because it's life. But but this

0:17:26.040 --> 0:17:31.280
<v Speaker 1>process actually does have real, very important and interesting applications,

0:17:31.359 --> 0:17:34.320
<v Speaker 1>not just for fun. It can make a big difference

0:17:34.320 --> 0:17:38.040
<v Speaker 1>in many kinds of research involving proteins. For example, cancer

0:17:38.119 --> 0:17:41.240
<v Speaker 1>research in the lab often deals with proteins that have

0:17:41.320 --> 0:17:44.199
<v Speaker 1>exactly the same problem that cooked egg whites do. They

0:17:44.240 --> 0:17:48.000
<v Speaker 1>can become tangled in misshape, and so the proteins get

0:17:48.119 --> 0:17:51.520
<v Speaker 1>d natured, or they're they're folding gets messed up, or

0:17:51.560 --> 0:17:54.760
<v Speaker 1>they get tangled together or both, and then scientists have

0:17:54.800 --> 0:17:57.200
<v Speaker 1>to waste a lot of time trying to restore them

0:17:57.240 --> 0:18:00.200
<v Speaker 1>to to the original folded shape and structure, to get

0:18:00.240 --> 0:18:03.520
<v Speaker 1>them to be useful and by conventional means, this is

0:18:03.560 --> 0:18:08.320
<v Speaker 1>a really time consuming and wasteful process. So this sheer

0:18:08.359 --> 0:18:12.120
<v Speaker 1>stress method that they introduced with this the vortex fluid device,

0:18:12.480 --> 0:18:15.520
<v Speaker 1>could actually make cancer research much more efficient in terms

0:18:15.520 --> 0:18:19.280
<v Speaker 1>of time and cost. So it was reported in their

0:18:19.320 --> 0:18:22.040
<v Speaker 1>study that the refolding of protein by sheer stress was

0:18:22.119 --> 0:18:26.720
<v Speaker 1>faster than the conventional method of quote, overnight dialysis by

0:18:26.720 --> 0:18:29.119
<v Speaker 1>a factor of more than a hundred times, more than

0:18:29.160 --> 0:18:32.280
<v Speaker 1>a hundred times faster. So that's why it took eleven

0:18:32.320 --> 0:18:35.760
<v Speaker 1>people to to write this paper. There were different people

0:18:35.800 --> 0:18:38.399
<v Speaker 1>involved with different aspects of it. Like I know, some

0:18:38.480 --> 0:18:41.280
<v Speaker 1>of the people cited in the paper were people who

0:18:41.760 --> 0:18:45.320
<v Speaker 1>were working with the vortex fluid device itself. Like the

0:18:46.280 --> 0:18:49.080
<v Speaker 1>stories like ten more times. I want to just see

0:18:49.080 --> 0:18:51.399
<v Speaker 1>how many times we can say vortex fluid device throughout

0:18:51.440 --> 0:18:55.160
<v Speaker 1>the sentence, right, So there's some people working with that,

0:18:55.320 --> 0:18:57.919
<v Speaker 1>some people who are presumably working with the science of

0:18:57.960 --> 0:19:02.080
<v Speaker 1>the proteins. Yeah, yeah, routine labs. So probably some I'm

0:19:02.119 --> 0:19:05.200
<v Speaker 1>guessing like graduate students in there who did like the

0:19:06.119 --> 0:19:09.720
<v Speaker 1>scut work. Possibly, I don't know what every single name

0:19:09.760 --> 0:19:12.200
<v Speaker 1>corresponds to. It's one of those, uh, one of those

0:19:12.200 --> 0:19:14.480
<v Speaker 1>features of Modern Sciences. That you get a lot of

0:19:14.560 --> 0:19:17.040
<v Speaker 1>names listed. Yeah, let's see if we can find which

0:19:17.080 --> 0:19:20.600
<v Speaker 1>one of these has the most people applied to it. Okay, okay,

0:19:20.760 --> 0:19:23.119
<v Speaker 1>so I'm keeping track. We got eleven on this one. Well,

0:19:23.200 --> 0:19:26.640
<v Speaker 1>let's check out the next prize awarded in the physical science.

0:19:26.680 --> 0:19:29.320
<v Speaker 1>And this one was a lot of fun. I actually

0:19:29.320 --> 0:19:32.000
<v Speaker 1>read about this before this episode, but Robert, it was

0:19:32.040 --> 0:19:36.040
<v Speaker 1>about urine, right, oh, yes, And you're definitely uh, you're

0:19:36.080 --> 0:19:38.359
<v Speaker 1>in for a treat on this one because this is

0:19:38.400 --> 0:19:41.600
<v Speaker 1>the Physics Prize for bladder speed. And noticed I said

0:19:41.640 --> 0:19:44.480
<v Speaker 1>physics and not biology here. That's gonna be a key

0:19:44.480 --> 0:19:47.440
<v Speaker 1>as we move forward. The paper in particular is a

0:19:47.600 --> 0:19:52.040
<v Speaker 1>duration of urine does not change with body size by

0:19:52.119 --> 0:19:57.280
<v Speaker 1>Georgia Institute of Technology researchers Patricia ja Yanga, Jonathan Fama,

0:19:57.680 --> 0:20:00.919
<v Speaker 1>Jerome Choah, Dave and Dave at l Q. And this

0:20:00.960 --> 0:20:05.240
<v Speaker 1>was published in the summer two thousand fourteen edition of

0:20:05.320 --> 0:20:08.439
<v Speaker 1>Proceedings of the National Academy of Sciences. And they're just

0:20:08.560 --> 0:20:13.359
<v Speaker 1>right down the street these Yeah. I have read several

0:20:13.400 --> 0:20:16.600
<v Speaker 1>times about the research involving David who in one way

0:20:16.720 --> 0:20:19.280
<v Speaker 1>or another. Yeah, I mean we were talking before the

0:20:19.520 --> 0:20:22.439
<v Speaker 1>episode of the field of fluid dynamics. You see some

0:20:22.480 --> 0:20:25.119
<v Speaker 1>of the most amazing papers coming up and and this

0:20:25.160 --> 0:20:28.399
<v Speaker 1>one definitely uh fits the bill. Did they use a

0:20:28.480 --> 0:20:34.320
<v Speaker 1>vortex fluid device? Not as such. No. So basically, in

0:20:34.320 --> 0:20:38.040
<v Speaker 1>a nutshell, the study investigated how quickly thirty two different

0:20:38.040 --> 0:20:40.959
<v Speaker 1>animals you're inate now? Sixteen of these are live viewing

0:20:41.680 --> 0:20:45.520
<v Speaker 1>the rest or YouTube videos. Um, because they were they

0:20:45.520 --> 0:20:48.879
<v Speaker 1>were interesting to animals of varying size. It's YouTube research. Yeah.

0:20:48.920 --> 0:20:52.840
<v Speaker 1>So the interesting initial finding here though, is that it

0:20:52.880 --> 0:20:55.400
<v Speaker 1>turns out that it's all about the same at least

0:20:55.400 --> 0:20:58.479
<v Speaker 1>for animals that weigh at least six point six pounds

0:20:58.560 --> 0:21:02.040
<v Speaker 1>or three kilograms. They found all animals that weigh more

0:21:02.119 --> 0:21:06.800
<v Speaker 1>than that urinate in the same space of time. Um.

0:21:06.840 --> 0:21:09.000
<v Speaker 1>So it doesn't matter if it's an elephants bladder that

0:21:09.119 --> 0:21:13.440
<v Speaker 1>is thirty undred times larger than a cat's. Both animals

0:21:13.440 --> 0:21:16.480
<v Speaker 1>are going to get their being over with and about

0:21:16.840 --> 0:21:21.000
<v Speaker 1>uh twenty seconds. Okay. And the reason here is, the

0:21:21.040 --> 0:21:23.560
<v Speaker 1>paper explores, is that as diverse as all these different

0:21:23.560 --> 0:21:27.159
<v Speaker 1>bladder systems are, um and and all the plumbing, they

0:21:27.200 --> 0:21:31.399
<v Speaker 1>all rely on the fundamental principles of fluid mechanics. The

0:21:31.440 --> 0:21:35.840
<v Speaker 1>researchers found that quote the urethra is a flow enhancing device,

0:21:36.000 --> 0:21:38.959
<v Speaker 1>enabling the urinary system to be scaled up by a

0:21:39.000 --> 0:21:42.960
<v Speaker 1>factor of thirty six in volume without compromising its function.

0:21:43.800 --> 0:21:45.440
<v Speaker 1>One of the idea here is that it's possible that

0:21:45.520 --> 0:21:48.960
<v Speaker 1>larger animals have a longer urethras, and since the weight

0:21:49.000 --> 0:21:51.640
<v Speaker 1>of the fluid in the urethra is pushing the fluid out,

0:21:52.000 --> 0:21:55.040
<v Speaker 1>the long urethra increases the flow rate. So this is

0:21:55.080 --> 0:21:58.240
<v Speaker 1>why if you've ever gone online like our researchers and

0:21:58.240 --> 0:22:01.080
<v Speaker 1>watched a whole bunch of animals uh urinate, you might

0:22:01.119 --> 0:22:04.520
<v Speaker 1>see the larger animals just really pushing it out there

0:22:04.560 --> 0:22:09.719
<v Speaker 1>like a sheet of urine hose. Yeah, whereas the smaller creatures,

0:22:09.840 --> 0:22:13.000
<v Speaker 1>definitely the ones under that six point six pound limit. Uh,

0:22:13.200 --> 0:22:16.320
<v Speaker 1>they're just throwing out some droplets. Uh. For instance, mice

0:22:16.359 --> 0:22:20.359
<v Speaker 1>and rats less than two seconds spent urinating bats just

0:22:20.400 --> 0:22:24.240
<v Speaker 1>a fraction of the speed. So this would be important,

0:22:24.240 --> 0:22:26.639
<v Speaker 1>of course, keeping your your p speed up for an

0:22:26.640 --> 0:22:29.680
<v Speaker 1>elephant because uh, if if an elephant had a shorter

0:22:29.840 --> 0:22:33.280
<v Speaker 1>ure threat, it would take longer to urinate, and during

0:22:33.280 --> 0:22:38.240
<v Speaker 1>that time, of course, it would be more susceptible interpretation. Wow,

0:22:39.240 --> 0:22:41.960
<v Speaker 1>so okay, never, I've never really thought about the evolutionary

0:22:42.000 --> 0:22:46.000
<v Speaker 1>pressures on urination speed. That just doesn't really occur to

0:22:46.040 --> 0:22:49.560
<v Speaker 1>me as a thing having a big having a big

0:22:50.200 --> 0:22:53.080
<v Speaker 1>impact on your survival or reproduction. Well, it's how much

0:22:53.119 --> 0:22:55.960
<v Speaker 1>time that you're you're you have to remain stationary and

0:22:55.960 --> 0:22:58.719
<v Speaker 1>you're somewhere not paying attention to your surrounding. You have

0:22:58.840 --> 0:23:03.919
<v Speaker 1>to remain stationary and pooping on the move. I haven't tried.

0:23:04.040 --> 0:23:07.080
<v Speaker 1>I don't know. You've seen you've both seen Burdenmic, I have,

0:23:07.560 --> 0:23:10.000
<v Speaker 1>so you know what happened. It can't happen when their

0:23:10.040 --> 0:23:12.640
<v Speaker 1>predators about and you need to go potty. And I'm

0:23:12.680 --> 0:23:17.080
<v Speaker 1>thinking about my dog, who definitely breaks the twenty second rule.

0:23:17.440 --> 0:23:20.119
<v Speaker 1>I mean, he pees for a long time when we

0:23:20.160 --> 0:23:22.119
<v Speaker 1>go out first thing in the morning, and that's probably

0:23:22.160 --> 0:23:24.199
<v Speaker 1>because he's got a cushy life and he doesn't have

0:23:24.240 --> 0:23:28.520
<v Speaker 1>to worry about the pressures of survival. That's a good point.

0:23:28.560 --> 0:23:31.399
<v Speaker 1>That's a good point. So I probably don't have didn't

0:23:31.400 --> 0:23:34.919
<v Speaker 1>measure humans as well. I'm not sure if humans were

0:23:34.920 --> 0:23:36.560
<v Speaker 1>in the in the study. To be honest, you know,

0:23:37.000 --> 0:23:40.000
<v Speaker 1>I wonder one thing that could be affecting the different

0:23:40.080 --> 0:23:43.640
<v Speaker 1>times of domesticated animals versus whatever they used in the study.

0:23:44.480 --> 0:23:48.000
<v Speaker 1>I'm sure some of those were domesticated, would be whether

0:23:48.080 --> 0:23:51.119
<v Speaker 1>they are being prompted the urinate or whether they're just

0:23:51.320 --> 0:23:55.040
<v Speaker 1>urinating whenever they feel like it, because it could be

0:23:55.080 --> 0:23:59.000
<v Speaker 1>that in under natural circumstances, you will naturally let the

0:23:59.040 --> 0:24:01.439
<v Speaker 1>amount of urine and build up in your bladder that

0:24:01.480 --> 0:24:04.200
<v Speaker 1>it will take to evacuate in twenty or twenty one second.

0:24:04.560 --> 0:24:07.400
<v Speaker 1>But if you're a dog who's inside and can't pee

0:24:07.560 --> 0:24:10.000
<v Speaker 1>until it's time to go out, you might go beyond

0:24:10.080 --> 0:24:14.080
<v Speaker 1>that threshold when and accumulate a lot. You're thinking, okay,

0:24:14.080 --> 0:24:16.440
<v Speaker 1>so I probably don't have to tell anybody why this

0:24:16.760 --> 0:24:19.439
<v Speaker 1>study is ridiculous, because of course it involves urine, and

0:24:19.560 --> 0:24:23.840
<v Speaker 1>urine like eggs, is inherently funny. Um. But as to

0:24:23.920 --> 0:24:29.080
<v Speaker 1>why it's important for starters, it's an understudied topic. Not

0:24:29.160 --> 0:24:31.160
<v Speaker 1>a lot of people are putting a lot of time

0:24:31.200 --> 0:24:35.240
<v Speaker 1>and effort into the question of urination times for animals,

0:24:35.680 --> 0:24:38.720
<v Speaker 1>And additionally, the study may help to diagnose urine a

0:24:38.880 --> 0:24:41.080
<v Speaker 1>problems and animals as well as inspired of the design

0:24:41.119 --> 0:24:46.480
<v Speaker 1>of quote scalable hydro dynamic systems based on those in nature,

0:24:46.520 --> 0:24:49.640
<v Speaker 1>So there's a biomimicry potential here. Um, you don't need

0:24:49.840 --> 0:24:53.400
<v Speaker 1>to necessarily use external pressure to get rid of fluids

0:24:53.400 --> 0:24:56.080
<v Speaker 1>in a system quickly. Rather, you can let gravity do

0:24:56.119 --> 0:24:59.920
<v Speaker 1>the trick with the right bio mimicry. So possible applications

0:25:00.080 --> 0:25:07.080
<v Speaker 1>include water tanks, UM, backpacks that are used to you know, uh,

0:25:07.080 --> 0:25:11.199
<v Speaker 1>fire hoses, and UM. A couple of examples here in

0:25:11.240 --> 0:25:15.200
<v Speaker 1>which the team actually engaged with some additional experimentation. Uh.

0:25:15.240 --> 0:25:19.320
<v Speaker 1>They actually created a demonstration that empties a teacup, court

0:25:19.560 --> 0:25:22.240
<v Speaker 1>and gallon of water in the same duration for each

0:25:22.320 --> 0:25:26.000
<v Speaker 1>using varying links of connected tubes, thus standing in for

0:25:26.040 --> 0:25:31.080
<v Speaker 1>the varying urethra links UM links among these animals. And

0:25:31.080 --> 0:25:33.680
<v Speaker 1>then they connected a second experiment in which the team

0:25:33.720 --> 0:25:36.040
<v Speaker 1>filled three cups with the same amount of water then

0:25:36.080 --> 0:25:39.760
<v Speaker 1>empty them at varying rates by using different lengths of tube.

0:25:40.240 --> 0:25:43.960
<v Speaker 1>So again you don't have to use you know, varying

0:25:44.000 --> 0:25:46.560
<v Speaker 1>amounts of external pressure to move water through a system.

0:25:46.560 --> 0:25:49.440
<v Speaker 1>You can use to use gravity and tube length. This

0:25:49.520 --> 0:25:52.560
<v Speaker 1>is uh, they're like modern day Da Vincis like this

0:25:52.600 --> 0:25:54.320
<v Speaker 1>is this is the kind of stuff that Da Vinci

0:25:54.400 --> 0:25:56.320
<v Speaker 1>used to sit around and ponder about and work on

0:25:56.359 --> 0:25:59.199
<v Speaker 1>in his sketch books like how to move water more Efficiently.

0:25:59.760 --> 0:26:03.160
<v Speaker 1>They're just looking to nature's way of doing it. Yeah, yeah,

0:26:03.200 --> 0:26:06.400
<v Speaker 1>it's it's basically a bio on the medic exercise. Now,

0:26:06.440 --> 0:26:09.200
<v Speaker 1>so that makes me wonder if the next thing we're

0:26:09.200 --> 0:26:12.480
<v Speaker 1>going to hear about associated with David who is an ornithopter.

0:26:13.960 --> 0:26:16.000
<v Speaker 1>That would be great. Well wait, let's define that for

0:26:16.040 --> 0:26:18.480
<v Speaker 1>our audience for a second. Oh, if you've listened to

0:26:18.480 --> 0:26:21.240
<v Speaker 1>the Dune episode, you know all about ornithopters. No, didn't

0:26:21.280 --> 0:26:26.880
<v Speaker 1>da Vinci designed some mornithopters flapping flapping wing aircraft. Now,

0:26:26.880 --> 0:26:29.879
<v Speaker 1>I'm afraid that's wrong. That did he design propeller driven

0:26:30.040 --> 0:26:33.320
<v Speaker 1>or I can't remember other than from playing an Assassin's

0:26:33.320 --> 0:26:35.520
<v Speaker 1>Creed game where Da Vinci was the guy who made

0:26:35.560 --> 0:26:37.720
<v Speaker 1>He was like your que to your to your James

0:26:37.720 --> 0:26:39.800
<v Speaker 1>Bond and he made one of those things for you

0:26:39.880 --> 0:26:42.720
<v Speaker 1>to fly around in. Oh nice. Yeah. I don't think

0:26:42.720 --> 0:26:46.160
<v Speaker 1>there's any evidence that da Vinci made a working flying machine.

0:26:46.440 --> 0:26:49.000
<v Speaker 1>I think he just yeah, I don't think right, Yeah,

0:26:49.000 --> 0:26:50.840
<v Speaker 1>I don't think it was. And we'll have to ask

0:26:50.920 --> 0:26:55.080
<v Speaker 1>Jonathan Strickland. He would probably know. Uh So The next

0:26:55.119 --> 0:26:58.720
<v Speaker 1>one here, and this is a short one, is the

0:26:58.880 --> 0:27:02.399
<v Speaker 1>Literature Prize, and it specifically goes to a paper called

0:27:03.080 --> 0:27:08.679
<v Speaker 1>is Huh a Universal Word? Conversational Infrastructure and the Convergent

0:27:08.720 --> 0:27:16.160
<v Speaker 1>Evolution of Linguistic Items? By Mark Dinge Manze, Francisco Torrieira,

0:27:16.520 --> 0:27:20.520
<v Speaker 1>and Nick j Enfield Uh. And this was in p

0:27:20.800 --> 0:27:25.520
<v Speaker 1>l OS one published. Okay, so the basics of this

0:27:25.800 --> 0:27:30.600
<v Speaker 1>study are essentially that the writers involved take a look

0:27:30.640 --> 0:27:35.840
<v Speaker 1>at the the word sound huh. Specifically throughout the piece

0:27:36.000 --> 0:27:40.159
<v Speaker 1>they spell it h u h question mark. Yeah, I

0:27:40.240 --> 0:27:42.919
<v Speaker 1>asked to have the question mark. They used a phrase

0:27:43.000 --> 0:27:46.439
<v Speaker 1>to describe it that I thought was very appropriate and

0:27:46.560 --> 0:27:50.640
<v Speaker 1>very interesting. They called it a repair initiator. Yeah. I'll

0:27:50.680 --> 0:27:52.520
<v Speaker 1>get to that in a second. But that's essentially the

0:27:53.040 --> 0:27:56.120
<v Speaker 1>gist of their argument and and why it's important. So

0:27:57.080 --> 0:28:03.440
<v Speaker 1>they argue, one that is universal, regardless of language, all

0:28:03.560 --> 0:28:08.280
<v Speaker 1>human beings use a version of huh. And then the

0:28:08.359 --> 0:28:11.439
<v Speaker 1>second thing they argue is that it is a word.

0:28:11.760 --> 0:28:13.960
<v Speaker 1>It's not just a grunt. Yeah. Apparently there was some

0:28:14.200 --> 0:28:18.600
<v Speaker 1>uh people, some conflict apparently about whether or not it

0:28:18.680 --> 0:28:20.800
<v Speaker 1>was a word or not. And they defined it because

0:28:20.800 --> 0:28:24.040
<v Speaker 1>they said it's used similarly across cultures, and it's also

0:28:24.080 --> 0:28:27.720
<v Speaker 1>a learned, conventional form. And like you said, it's not grunting,

0:28:27.760 --> 0:28:31.200
<v Speaker 1>it's not crying, it's not just a noise. It's a

0:28:31.240 --> 0:28:33.359
<v Speaker 1>word that we use that has purpose to it, right,

0:28:33.560 --> 0:28:36.360
<v Speaker 1>It has a it has a semantic definition. It it

0:28:36.440 --> 0:28:39.800
<v Speaker 1>means something in conversation. It means I didn't understand what

0:28:39.880 --> 0:28:43.760
<v Speaker 1>you just said exactly so. And that's where the other

0:28:43.840 --> 0:28:47.720
<v Speaker 1>initiated repair thing comes in, right, So huh is used

0:28:47.760 --> 0:28:51.040
<v Speaker 1>for us to express to someone else, whether they speak

0:28:51.080 --> 0:28:54.120
<v Speaker 1>the same language or not, that there is something going

0:28:54.160 --> 0:28:57.600
<v Speaker 1>on where we're having trouble understanding, right, whether it's like

0:28:59.720 --> 0:29:03.200
<v Speaker 1>some all understanding or actual problem with the noise in

0:29:03.280 --> 0:29:06.240
<v Speaker 1>your ears, you know the problem hearing it now. They

0:29:06.280 --> 0:29:10.120
<v Speaker 1>found that across different languages it wasn't always pronounced exactly

0:29:10.160 --> 0:29:12.880
<v Speaker 1>the same. That it's sort of the essence of the

0:29:12.920 --> 0:29:15.520
<v Speaker 1>word hah that comes through yeah. And it has the

0:29:15.600 --> 0:29:17.920
<v Speaker 1>same variation in form as you would find in any

0:29:17.960 --> 0:29:21.920
<v Speaker 1>other regular words. So as words kind of spread across

0:29:22.000 --> 0:29:26.200
<v Speaker 1>cultures and they change slightly, uh, Like they use dog

0:29:26.440 --> 0:29:29.480
<v Speaker 1>as an example, and how dog changes across different cultures,

0:29:29.560 --> 0:29:31.600
<v Speaker 1>huh is similar. Well, I mean even in our own

0:29:31.680 --> 0:29:33.920
<v Speaker 1>usage of it. You have huh, but then you also

0:29:33.920 --> 0:29:37.000
<v Speaker 1>have yeah. Yeah, so I mean we have I think

0:29:37.040 --> 0:29:39.760
<v Speaker 1>multiple versions in English exactly. Yeah. And the way that

0:29:39.800 --> 0:29:43.040
<v Speaker 1>they conducted the study is and I feel bad for

0:29:43.080 --> 0:29:46.160
<v Speaker 1>whoever had to sit down and go through all this data. Uh.

0:29:46.200 --> 0:29:49.960
<v Speaker 1>They compiled data from published literature and thirty one languages

0:29:50.080 --> 0:29:52.440
<v Speaker 1>to see how it was used in written form, And

0:29:52.480 --> 0:29:56.400
<v Speaker 1>then they collected data from recordings of naturally occurring conversations

0:29:56.440 --> 0:30:01.320
<v Speaker 1>from ten languages across five different continents, and basically, you know,

0:30:02.200 --> 0:30:06.000
<v Speaker 1>looked for usage of huh uh and and how it

0:30:06.080 --> 0:30:08.840
<v Speaker 1>was understood. And there's the you know, I won't go

0:30:08.880 --> 0:30:10.320
<v Speaker 1>through it here too because I think it would be

0:30:10.360 --> 0:30:14.160
<v Speaker 1>kind of boring, but there's this really interesting uh cable

0:30:14.360 --> 0:30:17.120
<v Speaker 1>visual table that they applied to the study itself. It

0:30:17.120 --> 0:30:19.479
<v Speaker 1>wouldn't work well on a podcast to talk about it,

0:30:19.760 --> 0:30:22.640
<v Speaker 1>basically showing all the different languages and all their locations

0:30:22.640 --> 0:30:27.400
<v Speaker 1>across the world and how huh is used throughout them.

0:30:27.480 --> 0:30:31.280
<v Speaker 1>So of course, why is it ridiculous? Well, it's we're

0:30:31.320 --> 0:30:34.520
<v Speaker 1>studying such a basic part of human existence that seems

0:30:34.560 --> 0:30:37.000
<v Speaker 1>like it doesn't really require that deep of an analysis,

0:30:37.160 --> 0:30:40.240
<v Speaker 1>right uh. And and it's also, you know, just kind

0:30:40.240 --> 0:30:43.920
<v Speaker 1>of a silly The term itself means I don't understand,

0:30:44.600 --> 0:30:46.920
<v Speaker 1>and here we are speaking to understand. Yeah, but they

0:30:47.000 --> 0:30:49.080
<v Speaker 1>make a good case. I think that this is an

0:30:49.120 --> 0:30:53.160
<v Speaker 1>interesting thing to study, especially because they point out how

0:30:53.240 --> 0:30:58.360
<v Speaker 1>huh is such a useful and powerful tool in conversation

0:30:58.520 --> 0:31:02.240
<v Speaker 1>because it has this uh. It has this complex sort

0:31:02.280 --> 0:31:06.040
<v Speaker 1>of conversation management role that happens in such a short

0:31:06.120 --> 0:31:10.640
<v Speaker 1>time span and really helps keep conversations on track and

0:31:11.040 --> 0:31:13.920
<v Speaker 1>moving quickly because you don't have to stop every time

0:31:13.960 --> 0:31:16.840
<v Speaker 1>and say I don't understand what you just said. Right. Yeah,

0:31:17.440 --> 0:31:21.200
<v Speaker 1>It's It's interesting though, because it's easy to dismiss hunt

0:31:21.400 --> 0:31:25.200
<v Speaker 1>as um, it's just a needless break in a conversation.

0:31:25.280 --> 0:31:28.320
<v Speaker 1>But but I guess the the the the idea here

0:31:28.400 --> 0:31:31.040
<v Speaker 1>is that it's as small a break as is necessary.

0:31:31.240 --> 0:31:34.040
<v Speaker 1>It's not a verbal pause because it has meaning to it.

0:31:34.080 --> 0:31:36.600
<v Speaker 1>But yeah, it's a very short, quick, efficient way to

0:31:36.640 --> 0:31:40.680
<v Speaker 1>say I don't get it. Uh. It's feedback essentially, it

0:31:40.720 --> 0:31:45.080
<v Speaker 1>with within conversation. Just let the other person you're speaking

0:31:45.120 --> 0:31:48.280
<v Speaker 1>with no that you need more. Though, this also made

0:31:48.280 --> 0:31:50.920
<v Speaker 1>me think about how I feel like the word huh

0:31:50.960 --> 0:31:55.160
<v Speaker 1>has multiple different meanings in English. It certainly is what

0:31:55.200 --> 0:31:59.640
<v Speaker 1>they're talking about the repair initiators. So you're in the

0:31:59.640 --> 0:32:01.720
<v Speaker 1>middle of saying something I miss here part of it,

0:32:01.800 --> 0:32:05.840
<v Speaker 1>say huh and you repeat. But there's also I noticed

0:32:05.960 --> 0:32:11.360
<v Speaker 1>I often use huh as a punctuation that essentially means

0:32:11.400 --> 0:32:13.880
<v Speaker 1>that's curious. Yeah, that's I feel like that's my primary

0:32:14.040 --> 0:32:17.400
<v Speaker 1>usage of it is someone will say something interesting, especially

0:32:17.440 --> 0:32:20.560
<v Speaker 1>if it's like an audio interview over the phone, and

0:32:20.600 --> 0:32:22.560
<v Speaker 1>you feel like you need to give some feedback that

0:32:22.640 --> 0:32:27.760
<v Speaker 1>you are interested, and still on the line, you go, yeah.

0:32:28.280 --> 0:32:30.960
<v Speaker 1>It can also mean now I'm waiting for the listeners

0:32:30.960 --> 0:32:33.520
<v Speaker 1>to send us in like a super cut of all

0:32:33.560 --> 0:32:36.920
<v Speaker 1>the times we've all gone to each other. Can do that?

0:32:38.840 --> 0:32:41.280
<v Speaker 1>You know that Nolan makes electronic music out of our

0:32:41.600 --> 0:32:44.800
<v Speaker 1>verbal pauses and weird mouth noises. Right, No, but I'm

0:32:44.800 --> 0:32:47.880
<v Speaker 1>not surprised. Yeah, he keeps a folder and one day

0:32:47.920 --> 0:32:51.520
<v Speaker 1>he's going to get rich and famous by using all

0:32:51.520 --> 0:32:55.280
<v Speaker 1>of ours. Well, there's there's one other thing that I

0:32:55.360 --> 0:32:57.440
<v Speaker 1>just want to add about this study, and this is

0:32:58.040 --> 0:33:01.040
<v Speaker 1>they do a little kind of naval gazing dive here

0:33:01.040 --> 0:33:04.120
<v Speaker 1>in linguistic studies. But it's important because we've actually talked

0:33:04.120 --> 0:33:06.080
<v Speaker 1>about stuff like this before, especially when we did that

0:33:06.160 --> 0:33:11.200
<v Speaker 1>Feral Children episode on the Unlanguaged Mind. They have a

0:33:11.280 --> 0:33:16.320
<v Speaker 1>kind of universal grammar post structuralist argument going on, or

0:33:16.360 --> 0:33:19.720
<v Speaker 1>at least they get into that stuff by saying, huh,

0:33:19.840 --> 0:33:22.920
<v Speaker 1>isn't part of our genetic makeup? They're not. Just because

0:33:22.960 --> 0:33:26.040
<v Speaker 1>we all use it doesn't mean it's like built into

0:33:26.120 --> 0:33:31.560
<v Speaker 1>the human code, right, It's not like screaming in pain, Yeah, exactly.

0:33:31.720 --> 0:33:35.000
<v Speaker 1>And that Rather, what they're saying is that it's the

0:33:35.040 --> 0:33:39.240
<v Speaker 1>result of convergent cultural evolution, that as we as humans

0:33:39.320 --> 0:33:42.840
<v Speaker 1>have evolved together and built up our societies together, this

0:33:42.960 --> 0:33:46.080
<v Speaker 1>word has been it's it's like this one. I mean,

0:33:46.120 --> 0:33:48.680
<v Speaker 1>I'm sure there's many other constants, but it is one

0:33:48.760 --> 0:33:54.680
<v Speaker 1>constant that is between all of these cultures. Mhm. Hey,

0:33:54.680 --> 0:33:56.840
<v Speaker 1>so I think it's time to take a quick break

0:33:56.880 --> 0:34:00.120
<v Speaker 1>to hear about our sponsor for this episode. But after out,

0:34:00.160 --> 0:34:03.960
<v Speaker 1>we're gonna come right back and talk about more weird science.

0:34:08.320 --> 0:34:10.799
<v Speaker 1>All right. Well, well, let's move on to another prize here.

0:34:10.840 --> 0:34:14.520
<v Speaker 1>What do we have in terms of management? The Ignobile

0:34:14.920 --> 0:34:17.360
<v Speaker 1>Management Prize? I got a good one for you guys.

0:34:17.440 --> 0:34:21.040
<v Speaker 1>This is this is especially Oh, this is gonna hit

0:34:21.040 --> 0:34:22.799
<v Speaker 1>a little close to home for for those of us

0:34:22.840 --> 0:34:26.160
<v Speaker 1>who work in the digital media field. Uh. So this

0:34:26.239 --> 0:34:29.600
<v Speaker 1>is a paper uh that is called what Doesn't Kill

0:34:29.680 --> 0:34:34.240
<v Speaker 1>You Will Only make You More? Risk Loving colin Early

0:34:34.400 --> 0:34:38.719
<v Speaker 1>Life Disasters and CEO Behavior. It was written in September

0:34:39.680 --> 0:34:42.400
<v Speaker 1>published rather Uh and let me see if I can

0:34:42.400 --> 0:34:45.200
<v Speaker 1>pronounce these names. So I'm gonna butcher these but sorry,

0:34:45.239 --> 0:34:50.680
<v Speaker 1>guys if you're listening. Jennaro Berneil Vanite bag Wat and

0:34:51.040 --> 0:34:55.359
<v Speaker 1>p Rugga Vendra raw I believe are their names. So

0:34:55.440 --> 0:34:59.200
<v Speaker 1>this study finds that CEOs who have experienced fatal disasters

0:34:59.400 --> 0:35:03.960
<v Speaker 1>without stream negative consequences are more likely to be risky

0:35:04.000 --> 0:35:08.640
<v Speaker 1>and aggressive businessmen. So I'm assuming by extremely fatal disasters here,

0:35:08.680 --> 0:35:12.080
<v Speaker 1>that's an extremely fatal to people that are not him,

0:35:12.280 --> 0:35:15.040
<v Speaker 1>and they can they're still alive. Yeah, they have to be.

0:35:15.040 --> 0:35:18.160
<v Speaker 1>They're not undead sea. But then also they haven't lost

0:35:18.320 --> 0:35:21.359
<v Speaker 1>loved ones exactly. Yeah, that's that's the gist of it,

0:35:21.400 --> 0:35:25.160
<v Speaker 1>is that they whether the event had fatal consequences or not,

0:35:25.880 --> 0:35:29.399
<v Speaker 1>or they all do, but it didn't affect them directly. Now,

0:35:29.440 --> 0:35:32.400
<v Speaker 1>by your use of the term businessmen, does this indicate

0:35:32.440 --> 0:35:34.600
<v Speaker 1>that all of the people studied in this were male.

0:35:35.320 --> 0:35:38.279
<v Speaker 1>You know, I'm pretty sure that they were. Yeah. I

0:35:39.680 --> 0:35:42.200
<v Speaker 1>can't say definitively, but I want to say throughout the

0:35:42.239 --> 0:35:47.120
<v Speaker 1>paper that they used the pronoun him a lot. But

0:35:47.440 --> 0:35:49.640
<v Speaker 1>you know, there wasn't any discussion of gender as far

0:35:49.680 --> 0:35:52.560
<v Speaker 1>as I can remember, So yeah, but it's safe to

0:35:52.600 --> 0:35:57.520
<v Speaker 1>assume that they were mostly male. Uh. There is also

0:35:57.600 --> 0:36:01.920
<v Speaker 1>another part of this argument, which is that, uh. There

0:36:01.960 --> 0:36:07.240
<v Speaker 1>they also found that similarly, CEOs who witnessed extreme negative

0:36:07.280 --> 0:36:11.200
<v Speaker 1>consequences during a natural disaster, so like probably seeing their

0:36:11.239 --> 0:36:14.200
<v Speaker 1>loved ones die in front of them, are more conservative

0:36:14.400 --> 0:36:18.400
<v Speaker 1>in business. This includes how they deal with cash holdings, leverage,

0:36:18.400 --> 0:36:22.719
<v Speaker 1>and acquisitions, whereas the other guys are more likely to

0:36:22.800 --> 0:36:25.840
<v Speaker 1>create debt rather than equity, and they're more likely to

0:36:25.880 --> 0:36:28.879
<v Speaker 1>make their companies go through bankruptcy. Hold on, how many

0:36:28.960 --> 0:36:31.319
<v Speaker 1>ceo s did they find who had been through a

0:36:31.400 --> 0:36:34.920
<v Speaker 1>natural disaster? Well, let me tell you about their methodology,

0:36:34.920 --> 0:36:39.760
<v Speaker 1>which I think is a little although okay, I should

0:36:39.760 --> 0:36:42.279
<v Speaker 1>back up with that. The way the way that they

0:36:42.320 --> 0:36:45.240
<v Speaker 1>gathered their information is a little weird to me. However,

0:36:45.280 --> 0:36:49.520
<v Speaker 1>they put it through rigorous, rigorous testing to make sure

0:36:49.560 --> 0:36:53.799
<v Speaker 1>that they their data was I guess accurate. Okay, but well,

0:36:54.000 --> 0:36:55.680
<v Speaker 1>why don't you guys judge by the time we get

0:36:55.719 --> 0:36:57.160
<v Speaker 1>to the end of this and tell me what you think.

0:36:57.680 --> 0:36:59.960
<v Speaker 1>So the first thing that they do is they look

0:37:00.480 --> 0:37:04.480
<v Speaker 1>at a sample of firms from to two thousand and

0:37:04.560 --> 0:37:07.520
<v Speaker 1>twelve and they identified the CEOs of all these companies

0:37:07.760 --> 0:37:10.720
<v Speaker 1>and found their basic demographic information, you know, their age,

0:37:10.800 --> 0:37:13.560
<v Speaker 1>where they grew up, where they were born, YadA, YadA. Right.

0:37:14.160 --> 0:37:17.879
<v Speaker 1>Then they cross reference that with a database of all

0:37:17.960 --> 0:37:20.719
<v Speaker 1>the natural disasters that happened in the United States during

0:37:20.719 --> 0:37:26.960
<v Speaker 1>those times, and these include earthquakes, volcanic eruptions, tsunamis, hurricanes, tornadoes,

0:37:27.200 --> 0:37:33.560
<v Speaker 1>severe storms, floods, landslides, and wildfires. And they specifically focused

0:37:33.760 --> 0:37:36.400
<v Speaker 1>on the period of time when these CEOs would be

0:37:36.400 --> 0:37:40.200
<v Speaker 1>between the ages of five and fifteen, because they say

0:37:40.280 --> 0:37:43.759
<v Speaker 1>that medical research shows that this is when our most

0:37:43.920 --> 0:37:49.720
<v Speaker 1>lasting childhood memories tend to start and then stop. So, okay,

0:37:51.120 --> 0:37:53.440
<v Speaker 1>the I want to pause for a second here and

0:37:53.520 --> 0:37:56.160
<v Speaker 1>say that the research itself, it's very easy to like

0:37:56.280 --> 0:37:59.120
<v Speaker 1>read and abstract and say, well, these CEOs are more

0:37:59.160 --> 0:38:01.560
<v Speaker 1>likely to do this thing, and these CEOs are less

0:38:01.600 --> 0:38:04.440
<v Speaker 1>likely to do this thing. Right, So the actual numbers

0:38:04.480 --> 0:38:08.360
<v Speaker 1>here what they call leverage ratios. They seem pretty small

0:38:08.400 --> 0:38:11.919
<v Speaker 1>to me. So the first group is three point four

0:38:12.040 --> 0:38:15.200
<v Speaker 1>percent higher than the norm, and then the second group

0:38:15.320 --> 0:38:19.680
<v Speaker 1>is negative three point seven percent lower. So to me,

0:38:19.719 --> 0:38:21.440
<v Speaker 1>this seems like it would fall into the margin of

0:38:21.600 --> 0:38:23.960
<v Speaker 1>error for many other studies that we would look at,

0:38:24.040 --> 0:38:26.680
<v Speaker 1>So you know, keep that in mind. Uh, it just

0:38:26.840 --> 0:38:29.560
<v Speaker 1>it's it seems a little low. I I was expecting

0:38:29.600 --> 0:38:31.400
<v Speaker 1>based on the conclusion that they had, it would be

0:38:31.440 --> 0:38:35.480
<v Speaker 1>a much higher percentage. To be fair, though, like I said,

0:38:35.560 --> 0:38:38.160
<v Speaker 1>they built in a lot of safeguards into this to

0:38:38.239 --> 0:38:41.080
<v Speaker 1>keep data bias and variables out of the studies results.

0:38:41.360 --> 0:38:45.480
<v Speaker 1>They even tested the robustness of their own methodology afterwards

0:38:45.480 --> 0:38:48.279
<v Speaker 1>by applying it in various forms over and over and

0:38:48.320 --> 0:38:52.120
<v Speaker 1>over again. Uh. And so they argue that this supports

0:38:52.160 --> 0:38:56.560
<v Speaker 1>the idea that CEOs who have not experienced extreme consequences

0:38:56.920 --> 0:39:01.759
<v Speaker 1>are desensitized to the negative consequences of risk. Subsequently, those

0:39:01.800 --> 0:39:06.040
<v Speaker 1>who are are more likely to be cautious. Okay, so

0:39:06.080 --> 0:39:09.200
<v Speaker 1>what do you think do you think? Like this methodology

0:39:09.280 --> 0:39:15.480
<v Speaker 1>sounds valid? You know, in the face of it, it's

0:39:15.520 --> 0:39:19.880
<v Speaker 1>weird because the study definitely matches up with the stereotype

0:39:19.920 --> 0:39:22.160
<v Speaker 1>that we a lot of us carry around for the

0:39:22.239 --> 0:39:25.799
<v Speaker 1>sort of inhuman CEOs that we that we ultimately have

0:39:25.960 --> 0:39:29.799
<v Speaker 1>very little personal interaction with. And they they're just this,

0:39:29.920 --> 0:39:32.640
<v Speaker 1>they seem to be this individual has no connection with

0:39:32.760 --> 0:39:35.279
<v Speaker 1>the suffering of others, right, And it seems like we,

0:39:35.880 --> 0:39:38.399
<v Speaker 1>I don't know, we should always be especially careful about

0:39:38.440 --> 0:39:42.879
<v Speaker 1>scientific results that seem to confirm our intuitions because we're

0:39:43.000 --> 0:39:46.200
<v Speaker 1>I don't know, we're just susceptible to being lenient with them.

0:39:46.640 --> 0:39:49.160
<v Speaker 1>That's why I thought that there was a sort of

0:39:49.200 --> 0:39:52.759
<v Speaker 1>inherent ridiculousness to this for the Ignoble prizes rights, it

0:39:52.800 --> 0:39:56.400
<v Speaker 1>seems like it's looking for causality between two seemingly unrelated

0:39:56.440 --> 0:40:00.120
<v Speaker 1>experiences just to confirm our pre existing bias. But uh,

0:40:00.440 --> 0:40:02.319
<v Speaker 1>like I said, I mean, I didn't go into it

0:40:02.360 --> 0:40:06.560
<v Speaker 1>here because again, like it's very dense uh and math

0:40:06.840 --> 0:40:10.080
<v Speaker 1>essentially that they that they went through here. I don't.

0:40:11.080 --> 0:40:14.120
<v Speaker 1>I have to respect them for the diligence that they

0:40:14.160 --> 0:40:17.239
<v Speaker 1>did in the study, but I don't know necessarily that

0:40:17.320 --> 0:40:20.839
<v Speaker 1>all that diligence adds up to being able to say

0:40:20.880 --> 0:40:24.880
<v Speaker 1>that this is accurate. What I would rather see is

0:40:24.920 --> 0:40:29.799
<v Speaker 1>a study that correlates CEO risk taking behavior with how

0:40:29.840 --> 0:40:34.040
<v Speaker 1>they play the board game risk. Well, are they a

0:40:34.040 --> 0:40:38.479
<v Speaker 1>table flipper? Oh nice? Yeah, well, you know, suggest that

0:40:38.680 --> 0:40:41.040
<v Speaker 1>to the board and maybe they can do that for

0:40:41.080 --> 0:40:43.640
<v Speaker 1>the next for next year's I Nobel Prizes, although those

0:40:43.640 --> 0:40:47.560
<v Speaker 1>are probably getting published already. Uh, but there is all right,

0:40:47.760 --> 0:40:52.040
<v Speaker 1>So all that aside is an important study though, in

0:40:52.080 --> 0:40:54.880
<v Speaker 1>the sense that they found a link between CEOs and

0:40:54.960 --> 0:40:59.120
<v Speaker 1>disaster experience and their corporate policies, and subsequently this has

0:40:59.160 --> 0:41:01.920
<v Speaker 1>real economic consequences. Right, So basically what they're trying to

0:41:01.960 --> 0:41:04.000
<v Speaker 1>do is say, like, all right, this is a predictor

0:41:04.560 --> 0:41:07.880
<v Speaker 1>I assume for hiring or you know, in in some

0:41:07.960 --> 0:41:11.719
<v Speaker 1>sense a predictor of how well this person is going

0:41:11.760 --> 0:41:14.239
<v Speaker 1>to run a company. Yeah. I do think one thing

0:41:14.280 --> 0:41:17.279
<v Speaker 1>that's useful here is it's just one more thing that

0:41:17.440 --> 0:41:20.759
<v Speaker 1>helps us remember that ceo s and the people who

0:41:20.800 --> 0:41:25.200
<v Speaker 1>make top level business decisions are human, and they're very

0:41:25.280 --> 0:41:30.560
<v Speaker 1>much subject to human biases prejudices towards certain types of actions.

0:41:30.880 --> 0:41:34.520
<v Speaker 1>They're not. I think there's sometimes this, uh, at least

0:41:34.520 --> 0:41:36.840
<v Speaker 1>in the pro business mindset, there is this type of

0:41:36.880 --> 0:41:42.400
<v Speaker 1>thinking that these people are efficiency optimizing machines who just

0:41:42.600 --> 0:41:45.160
<v Speaker 1>you know, they make the decision that makes the most

0:41:45.280 --> 0:41:47.960
<v Speaker 1>money all the time. But I mean there are people there.

0:41:48.000 --> 0:41:52.680
<v Speaker 1>They make emotion driven the decisions they they are informed

0:41:52.719 --> 0:41:56.160
<v Speaker 1>by their experiences and their feelings about the world based

0:41:56.200 --> 0:41:59.160
<v Speaker 1>on the things that have happened to them. It's good

0:41:59.160 --> 0:42:00.919
<v Speaker 1>to keep that in mind. Then this is one more

0:42:01.480 --> 0:42:05.160
<v Speaker 1>tally in that corner. Yeah, and plus it also it's

0:42:05.160 --> 0:42:08.360
<v Speaker 1>another study that looks at how Evan shape who we

0:42:08.400 --> 0:42:11.440
<v Speaker 1>are um and in this in this case, it reminds

0:42:11.440 --> 0:42:14.799
<v Speaker 1>me a lot of discussions I've had with people about comedians,

0:42:14.840 --> 0:42:19.040
<v Speaker 1>like you have a comedian who didn't who is Jimmy

0:42:19.040 --> 0:42:21.920
<v Speaker 1>Fallon comes to mind. I remember hearing an interview with

0:42:21.960 --> 0:42:25.320
<v Speaker 1>Jimmy Fallon where he basically, you know, he wasn't picked

0:42:25.360 --> 0:42:27.279
<v Speaker 1>on as a kid. He had pretty much had a

0:42:27.320 --> 0:42:30.400
<v Speaker 1>nice rhyn of things. And maybe that explains why I

0:42:30.440 --> 0:42:33.960
<v Speaker 1>don't find Jimmy Fallon all that funny, because he's not

0:42:34.040 --> 0:42:38.719
<v Speaker 1>coming from this place of bankst or suffering like comedians

0:42:38.760 --> 0:42:43.000
<v Speaker 1>that you identify with. Yeah, he's not. He's not Schopenhauer's comedian.

0:42:43.400 --> 0:42:46.600
<v Speaker 1>So maybe he's the CEO of of comedy, you know.

0:42:47.280 --> 0:42:50.000
<v Speaker 1>As it lines up with this study, Wow, Oh man,

0:42:50.200 --> 0:42:52.759
<v Speaker 1>you just really blew my mind with that Robert like

0:42:52.880 --> 0:42:56.279
<v Speaker 1>I am. That gives me pause because I really don't

0:42:56.320 --> 0:42:59.560
<v Speaker 1>like Jimmy Fallon's humor. Um, I'm gonna have to think

0:42:59.600 --> 0:43:01.440
<v Speaker 1>further on this and come back on another episode. And

0:43:01.520 --> 0:43:04.320
<v Speaker 1>I'm not saying I dislike Jimmy Fallone. Seems like a

0:43:04.400 --> 0:43:07.360
<v Speaker 1>nice guy, but like Comedy has never spoken to just

0:43:07.440 --> 0:43:09.560
<v Speaker 1>this comedy. Yeah, I don't know him as an individual.

0:43:10.239 --> 0:43:12.480
<v Speaker 1>He's like a CEO. I don't know those guys in

0:43:14.160 --> 0:43:18.480
<v Speaker 1>he stole my car once. Really well, here's what I

0:43:18.520 --> 0:43:21.640
<v Speaker 1>think that I got from this study is that what

0:43:21.680 --> 0:43:24.320
<v Speaker 1>we need to do is make sure that all people

0:43:24.360 --> 0:43:27.880
<v Speaker 1>who become CEOs of companies saw their parents murdered in

0:43:27.920 --> 0:43:30.080
<v Speaker 1>front of them when they were children, because then they'll

0:43:30.120 --> 0:43:32.400
<v Speaker 1>be like Batman Bruce Wayne, and they will run the

0:43:32.400 --> 0:43:34.920
<v Speaker 1>company really well and clean up all the crime in

0:43:34.960 --> 0:43:37.720
<v Speaker 1>their city. Is there any evidence of support the idea

0:43:37.760 --> 0:43:40.919
<v Speaker 1>that Bruce Wayne was was Slashy is a good CEO? Though,

0:43:41.000 --> 0:43:43.400
<v Speaker 1>We're gonna have to do some contextual analysis to figure

0:43:43.440 --> 0:43:46.440
<v Speaker 1>that one out. In fact, I would I would be

0:43:46.480 --> 0:43:50.560
<v Speaker 1>interested as anyone looked into the various CEOs in the

0:43:50.600 --> 0:43:52.840
<v Speaker 1>comic book world. He's a better CEO, is it like

0:43:53.640 --> 0:43:56.600
<v Speaker 1>or is it Wayne? Yeah? Just in terms of a

0:43:56.680 --> 0:43:59.800
<v Speaker 1>business perspective, Yeah, you know Tony Star, which is a

0:43:59.800 --> 0:44:02.200
<v Speaker 1>bad or industry go to working like, who is it like?

0:44:02.280 --> 0:44:06.439
<v Speaker 1>Sometimes having an evil corporation over your shoulder if they're

0:44:06.560 --> 0:44:08.239
<v Speaker 1>if they have could benefit. I was gonna say that

0:44:08.360 --> 0:44:12.200
<v Speaker 1>the benefits at lex Corp Are great, Great, They've got

0:44:12.320 --> 0:44:16.560
<v Speaker 1>fantastic four O one K, nice hs A package. I mean,

0:44:16.640 --> 0:44:21.960
<v Speaker 1>business is good when you just manufacture toxic chemicals. Yeah, yeah, exactly. Well, okay,

0:44:21.960 --> 0:44:25.000
<v Speaker 1>getting back to the seriousness of this though. Um, the

0:44:25.040 --> 0:44:29.520
<v Speaker 1>researchers were specifically interested in the strength of the dosage of,

0:44:29.840 --> 0:44:32.880
<v Speaker 1>you know, experiencing these natural disasters and what their effects

0:44:32.880 --> 0:44:34.840
<v Speaker 1>would be. And this is a quote from the study.

0:44:34.840 --> 0:44:38.239
<v Speaker 1>They say the intensity of life experiences can result in

0:44:38.360 --> 0:44:41.799
<v Speaker 1>nonlinear effects on subsequent risk taking. All right, we have

0:44:41.880 --> 0:44:43.759
<v Speaker 1>one more study to look at in this episode, and

0:44:43.800 --> 0:44:46.160
<v Speaker 1>I believe this one to you again, Christian, the two

0:44:46.160 --> 0:44:50.160
<v Speaker 1>thousand fifteen Ignobile Prize for Economics. Yeah, so this actually

0:44:50.239 --> 0:44:56.560
<v Speaker 1>doesn't go to an academic paper. This Uh, this is

0:44:56.600 --> 0:44:58.360
<v Speaker 1>a pretty funny one. But also I can I can

0:44:58.400 --> 0:45:01.880
<v Speaker 1>see why they picked it. Uh, the organizers awarded the

0:45:02.000 --> 0:45:07.960
<v Speaker 1>Thai Land the Thailand Metro Police directly for their efforts

0:45:08.000 --> 0:45:13.000
<v Speaker 1>to combat rampant bribe taking among traffic police. So apparently

0:45:13.400 --> 0:45:16.880
<v Speaker 1>in Thailand it's not all that uncommon for you know,

0:45:16.920 --> 0:45:20.640
<v Speaker 1>if you break the traffic rules, police pulls you over

0:45:20.680 --> 0:45:22.640
<v Speaker 1>and you just throw them like three or four bucks

0:45:22.719 --> 0:45:24.680
<v Speaker 1>or whatever and say, hey, let's why do you forget

0:45:24.719 --> 0:45:28.080
<v Speaker 1>about this? Okay, So to combat the rampant bribe taking

0:45:28.120 --> 0:45:31.120
<v Speaker 1>that's going on among these traffic police, the officers in

0:45:31.239 --> 0:45:34.239
<v Speaker 1>charge said, okay, if you refuse these bribes, you will

0:45:34.280 --> 0:45:38.919
<v Speaker 1>receive a cash reward of up to ten thousand bot. So,

0:45:39.080 --> 0:45:41.200
<v Speaker 1>just for our listeners out there, ten thousand as of

0:45:41.280 --> 0:45:46.960
<v Speaker 1>today converts roughly into two eighty one dollars or comparison,

0:45:47.400 --> 0:45:50.759
<v Speaker 1>a police salary in Thailand right now is is on

0:45:50.880 --> 0:45:55.920
<v Speaker 1>average six thousand bought a month as of data, so

0:45:56.160 --> 0:45:59.520
<v Speaker 1>they make about a hundred and sixty nine dollars a month.

0:45:59.800 --> 0:46:02.439
<v Speaker 1>So you know, if they would refuse these bribes, they'd

0:46:02.440 --> 0:46:05.560
<v Speaker 1>be getting more than a month's paycheck. This raises so

0:46:05.600 --> 0:46:10.520
<v Speaker 1>many questions about it makes you wonder how much they're

0:46:10.520 --> 0:46:15.279
<v Speaker 1>making off bribes in the first place. Oh yeah, yeah, definitely. Um,

0:46:15.320 --> 0:46:17.120
<v Speaker 1>I guess I can preface this by saying that my

0:46:17.200 --> 0:46:19.759
<v Speaker 1>family lived in Thailand for a couple of years. I

0:46:19.800 --> 0:46:22.200
<v Speaker 1>didn't live there with them, but I went and visited

0:46:22.280 --> 0:46:25.880
<v Speaker 1>and stayed with them. Um, so I'm I visited Thailand.

0:46:25.880 --> 0:46:28.040
<v Speaker 1>I'm somewhat familiar with Thailand, but I can't really speak

0:46:28.040 --> 0:46:30.880
<v Speaker 1>to its you know, overall culture and the corruption and

0:46:30.960 --> 0:46:34.040
<v Speaker 1>the government. I do know, as many people do that

0:46:34.080 --> 0:46:39.560
<v Speaker 1>you know, Bangkok is infamous for uh, drugs, prostitution, you

0:46:39.680 --> 0:46:41.759
<v Speaker 1>name it, you know, and so I think that that

0:46:41.800 --> 0:46:44.000
<v Speaker 1>was kind of part of the impetus here for this

0:46:44.560 --> 0:46:48.160
<v Speaker 1>kind of weird policy that they enacted, was to clean

0:46:48.239 --> 0:46:53.319
<v Speaker 1>up the reputation of Bangkok. But of course, so it's

0:46:53.400 --> 0:46:56.520
<v Speaker 1>it's sort of ridiculous, so ridiculous that after two weeks

0:46:56.560 --> 0:47:00.439
<v Speaker 1>the police canceled this policy. Uh. There were so there's

0:47:00.480 --> 0:47:03.720
<v Speaker 1>so much back to your bribe social media criticism about

0:47:03.760 --> 0:47:07.719
<v Speaker 1>this that they thought it was damaging the forces reputation. Uh,

0:47:07.760 --> 0:47:13.359
<v Speaker 1>and two cops received the maximum award based on them

0:47:13.360 --> 0:47:16.600
<v Speaker 1>taking three dollar bribes. Yeah, well it's not rather not

0:47:16.680 --> 0:47:18.839
<v Speaker 1>taking those bribes. It's it's kind of like the whole

0:47:18.880 --> 0:47:23.160
<v Speaker 1>scenario where somebody unloads the dishwasher and then expects praise

0:47:23.239 --> 0:47:26.239
<v Speaker 1>for it, like you're supposed to unload the dishwasher. You

0:47:26.600 --> 0:47:30.040
<v Speaker 1>did your job. Yeah, you did your job. Congratulations. Yeah,

0:47:30.080 --> 0:47:33.480
<v Speaker 1>there shouldn't be a monetary reward for not taking the bribe,

0:47:33.760 --> 0:47:38.080
<v Speaker 1>which is what you're supposed to do to Kenwin. Unsurprisingly,

0:47:38.120 --> 0:47:41.200
<v Speaker 1>the Metropolitan Police Bureau did not send any representatives to

0:47:41.280 --> 0:47:44.480
<v Speaker 1>Harvard to receive the award at the ceremony. I wish

0:47:44.480 --> 0:47:47.080
<v Speaker 1>they did because that would have probably made it quite

0:47:47.080 --> 0:47:50.680
<v Speaker 1>a bit funnier. Did they not even send a video acceptance? Well,

0:47:50.719 --> 0:47:52.759
<v Speaker 1>you know what, I didn't catch that they might have,

0:47:53.120 --> 0:47:55.640
<v Speaker 1>but they didn't get to have what's her name sit

0:47:55.680 --> 0:47:59.440
<v Speaker 1>there and tell them that they're boring. Oh yeah, it's sweetie. Pooh.

0:47:59.680 --> 0:48:04.600
<v Speaker 1>I g I forgot, I forgot to Okay. Uh So,

0:48:04.880 --> 0:48:09.799
<v Speaker 1>just another thing is that Thailand also received the Ignoble

0:48:09.840 --> 0:48:13.680
<v Speaker 1>Award for Public Health because they had research that was

0:48:13.719 --> 0:48:19.280
<v Speaker 1>published about surgical solutions to involuntary penis amputation. I remember

0:48:19.280 --> 0:48:22.759
<v Speaker 1>this one. Yeah, so you know, they're racking up the

0:48:22.760 --> 0:48:26.440
<v Speaker 1>points in the Ignoble category. But let's get serious for

0:48:26.480 --> 0:48:29.560
<v Speaker 1>a second here. Okay, here's why this is important. So

0:48:29.600 --> 0:48:32.520
<v Speaker 1>the state officials and the police in Thailand are supposed

0:48:32.600 --> 0:48:35.400
<v Speaker 1>to face life in jail if they're convicted of taking

0:48:35.400 --> 0:48:40.240
<v Speaker 1>a bride. Life in jail. Yeah, but it's pretty common,

0:48:40.400 --> 0:48:45.560
<v Speaker 1>it's extremely common. Uh. Though. The Thai army took power

0:48:45.680 --> 0:48:50.879
<v Speaker 1>after ousting the first female prime minister uh and they

0:48:50.920 --> 0:48:53.600
<v Speaker 1>claimed that they had to restore order to the nation

0:48:53.840 --> 0:48:58.400
<v Speaker 1>because nearly thirty people were killed in political protests against

0:48:58.440 --> 0:49:01.520
<v Speaker 1>her being elected. Okay, so that's where this all came from.

0:49:02.200 --> 0:49:05.640
<v Speaker 1>Uh And after they took power, that's when they launched

0:49:05.640 --> 0:49:09.480
<v Speaker 1>this campaign to clean up Thailand's image. So this measure,

0:49:10.040 --> 0:49:14.600
<v Speaker 1>the traffic bribe measure, was part of that campaign. Uh

0:49:14.600 --> 0:49:19.640
<v Speaker 1>And specifically because that prime minister's brother is an ousted

0:49:19.719 --> 0:49:23.960
<v Speaker 1>and influential politician who is also a former police officer,

0:49:24.320 --> 0:49:26.800
<v Speaker 1>and he's known to have allies in the police force

0:49:26.880 --> 0:49:29.359
<v Speaker 1>and he's got some you know, political influence with them.

0:49:29.600 --> 0:49:31.680
<v Speaker 1>He fled the country in two thousand and eight. But

0:49:31.920 --> 0:49:34.800
<v Speaker 1>really the speculation is that, like, if you look deeper

0:49:34.840 --> 0:49:37.200
<v Speaker 1>at this, this is more about the military trying to

0:49:37.239 --> 0:49:41.239
<v Speaker 1>take back control of the police from this you know,

0:49:41.320 --> 0:49:46.040
<v Speaker 1>allegedly corrupt politician. All right, Well, there you have it.

0:49:46.280 --> 0:49:48.520
<v Speaker 1>We're gonna cut off right there, and we're gonna pick

0:49:48.600 --> 0:49:51.440
<v Speaker 1>up in the next episode of Stuff to Blow Your Mind,

0:49:51.440 --> 0:49:54.160
<v Speaker 1>where will roll through five more of the winners from

0:49:54.200 --> 0:49:57.719
<v Speaker 1>the two thousand fifteen Ignoble Prizes. Uh, there's some gonna

0:49:57.719 --> 0:49:59.840
<v Speaker 1>be some fun stuff in there, So give you joined

0:49:59.840 --> 0:50:02.160
<v Speaker 1>this come back from what we're gonna talk about kissing

0:50:02.640 --> 0:50:05.600
<v Speaker 1>and how many babies you can have in a lifetime. Yeah,

0:50:05.680 --> 0:50:09.520
<v Speaker 1>we're talking about sticking essentially plungers on the butts of chickens.

0:50:09.640 --> 0:50:11.960
<v Speaker 1>It's it's gonna be. It's gonna be a golden bees

0:50:12.040 --> 0:50:17.200
<v Speaker 1>to your genitals. Science. Hey, So in the meantime, be

0:50:17.200 --> 0:50:18.759
<v Speaker 1>sure to check out stuff to bow your Mind dot com.

0:50:18.800 --> 0:50:20.960
<v Speaker 1>That's we'll find all the podcasts. You'll find videos, you'll

0:50:20.960 --> 0:50:23.040
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0:50:23.040 --> 0:50:26.600
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0:50:26.840 --> 0:50:30.719
<v Speaker 1>that is where you can also find the address to

0:50:30.840 --> 0:50:34.120
<v Speaker 1>write into us if you were, you know, particularly inspired

0:50:34.160 --> 0:50:37.040
<v Speaker 1>by one of these papers that we discussed, or maybe

0:50:37.040 --> 0:50:38.600
<v Speaker 1>you're one of the authors of one of them and

0:50:38.680 --> 0:50:41.040
<v Speaker 1>want to communicate to us what was actually going on

0:50:41.120 --> 0:50:44.720
<v Speaker 1>with your research, or perhaps you're involved in the Ignoble Prizes.

0:50:44.920 --> 0:50:47.080
<v Speaker 1>If you want to contact us directly, Joe, what's the

0:50:47.080 --> 0:51:00.000
<v Speaker 1>address below the mind at how stuff works dot com

0:51:00.080 --> 0:51:02.480
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0:51:02.520 --> 0:51:22.880
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