WEBVTT - Brain Soup and Liquid Brains

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<v Speaker 1>Welcome Stuff to Blow Your Mind, a production of I

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<v Speaker 1>Heart Radios How Stuff Works. Hey, you, welcome to Stuff

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<v Speaker 1>to Blow your Mind. My name is Robert Lamb and

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<v Speaker 1>I'm Joe McCormick. Joe. What what kind of image enters

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<v Speaker 1>your head when I say the words brain soup? Brain soup?

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<v Speaker 1>This is a Green Day song, isn't it? Is it?

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<v Speaker 1>I'm having trouble making soup? Is it? I don't know.

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<v Speaker 1>I'm not. I'm not. I'm not a sound dukie, right,

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<v Speaker 1>I only know like Green Day songs. I think I'm

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<v Speaker 1>getting this wrong. Uh No. I also think of there's

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<v Speaker 1>a horrible scene in Indiana Jones and the Temple of

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<v Speaker 1>Doom where they're they're eating all kinds of weird foods

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<v Speaker 1>that are parts of animals that you shouldn't eat, but

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<v Speaker 1>why not. But one of those parts is they eat

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<v Speaker 1>a monkey brain. I don't think that's supposed to be soup.

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<v Speaker 1>By the way, one of my favorite things on the

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<v Speaker 1>Internet is a total tangent is uh is? Franchise specific

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<v Speaker 1>Wiki entries for inanimate objects allow me to explain. So

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<v Speaker 1>there is like an Indiana Jones wiki that's just a

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<v Speaker 1>website out there. It's got entries on it for all

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<v Speaker 1>the characters minor characters in Indiana Jones movies, all the

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<v Speaker 1>adventures he went on. But then also they're just entries

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<v Speaker 1>because it's a wiki of just objects that appear in

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<v Speaker 1>the Indiana Jones movies. So this will include like individual

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<v Speaker 1>pages for each course of the meal in Indiana Jones

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<v Speaker 1>and the Temple of Doom. And one of them, the

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<v Speaker 1>one that's got all the snakes in it, is called

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<v Speaker 1>Coiled Wriggley's. So wait, is it just it's just about

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<v Speaker 1>a fictional food or is it attempting to draw lines

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<v Speaker 1>between these outrageous and you know, like shock oriented foods

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<v Speaker 1>and in some actual traditions, because that if they're not

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<v Speaker 1>doing it, that would actually be kind of a fun

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<v Speaker 1>thing to do, to sort of take the shock that

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<v Speaker 1>they're that they're trying to utilize in that scene and say,

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<v Speaker 1>we'll hold on. Actually, here's some actual culinary traditions that

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<v Speaker 1>are not really that shocking. Uh no, it's not at

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<v Speaker 1>all that informative or mind opening. Just let me allow

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<v Speaker 1>me to quote directly from the page for Coiled Wriggles.

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<v Speaker 1>Coiled Wriggley is also known as Snakes Surprise, was a

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<v Speaker 1>dish served at the Guardian of Tradition dinner given at

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<v Speaker 1>Pancok Palace in nine thirty five. As the second course,

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<v Speaker 1>it was live baby eels stuffed inside a moist boa constrictor.

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<v Speaker 1>One of the guests at the dinner, a merchant, was

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<v Speaker 1>very pleased when the dish was served. Another guest enjoyed

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<v Speaker 1>the eels with great gusto. I have not seen that

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<v Speaker 1>film in a very long time. I really don't know

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<v Speaker 1>how it would would hold up. Some elements certainly do not.

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<v Speaker 1>You know, I should point out that, like you know,

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<v Speaker 1>talking about brain soup, actual brain soup does exist. Do

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<v Speaker 1>you have, you know, various pork brain soups, etcetera. And

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<v Speaker 1>even though I'm a I'm a pet scutarian these days,

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<v Speaker 1>I wouldn't order pork brain soup at a restaurant. I

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<v Speaker 1>looked at some photos and it looks perfectly delicious and

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<v Speaker 1>not at all weird. Uh So I just want to

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<v Speaker 1>drive that home regarding uh the consumption of of brain

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<v Speaker 1>based soups before I bring up something that comes to

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<v Speaker 1>my mind when I when I hear brain soup, and

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<v Speaker 1>what came into my mind when I heard it recently?

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<v Speaker 1>I instantly think back to the two film it came

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<v Speaker 1>from Hollywood. Oh, yes, so this was this is a film.

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<v Speaker 1>It's it's I think you can watch most of it

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<v Speaker 1>on YouTube these days. But as Dan Ackroyd, John Candy

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<v Speaker 1>Cheech and Chong Gilda Radner, that whole crew, and sort

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<v Speaker 1>of before Mystery Science Theater, there was this movie. It

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<v Speaker 1>was just a clip show of like bad sci fi

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<v Speaker 1>films and stuff, with the hosts of the movie making

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<v Speaker 1>jokes about them. Yeah, and so a lot of trailer clips,

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<v Speaker 1>a lot of weird clips, And there's a whole section

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<v Speaker 1>that I that I loved as a kid about brains.

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<v Speaker 1>You know, all these weird fifties and sixties brain monster films,

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<v Speaker 1>which which I think are probably expressing a certain amount

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<v Speaker 1>of anxiety regarding like post war advances in neuroscience and

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<v Speaker 1>the sort of existential conundros that are raised, you know, like,

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<v Speaker 1>am I just a brain? What does it mean to

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<v Speaker 1>be just a brain? Will a brain jump out of

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<v Speaker 1>someone's head and attack me with its tentacles? There was

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<v Speaker 1>a lot of revolutionary neuroscience going on in the nineteen fifties,

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<v Speaker 1>and yeah, I can see exactly why people would be

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<v Speaker 1>concerned about this kind of thing, though some of them

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<v Speaker 1>are just more like I think there's one called like

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<v Speaker 1>the brain from Planet Rouse or something that, yeah, just

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<v Speaker 1>giant brains swarming at people. So I don't know exactly

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<v Speaker 1>how much that plays on anxieties about neurology, but I

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<v Speaker 1>mean I get that that what I really get a

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<v Speaker 1>sense of it when I see clips from Fiend Without

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<v Speaker 1>a Face, because as we have the fabulous stop motion

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<v Speaker 1>brains and kind of like spinal column tentacles, yeah, all

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<v Speaker 1>over the furniture. We just sprayed for brains last week.

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<v Speaker 1>But anyway, this particular segment on brains was introduced by

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<v Speaker 1>dan ackroyd Uh and he's he's he's in this this scene.

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<v Speaker 1>It's like he's in a butcher's shop and he's playing

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<v Speaker 1>a maniacal Perhaps he's supposed to be like a mad

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<v Speaker 1>brain scientist or a brain butcher, or like a brain

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<v Speaker 1>addict cannibal. It's it's kind of hard to say, it's

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<v Speaker 1>not entirely clear, but it's it's silly and it's gross

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<v Speaker 1>and it's a I was tempted to play a clip

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<v Speaker 1>from it here, but it's just so over the top

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<v Speaker 1>that I don't I don't think it would translate well

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<v Speaker 1>to an audio only environment. You are correctly capturing here

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<v Speaker 1>the strangeness of the premise for the sketch in the movie.

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<v Speaker 1>I don't just blithely throw around the phrase cocaine fuel.

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<v Speaker 1>But there there are some cases where you get you

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<v Speaker 1>get a suspicion. But also in that scene, I remember

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<v Speaker 1>dan Ackroyd is doing a voice that sounds a lot

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<v Speaker 1>like a Monty Python voice, and he sounds like the

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<v Speaker 1>leader of the Knights who say knee. Yes he does.

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<v Speaker 1>It's that kind of like ridiculous cartoonish voice. Oh yeah,

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<v Speaker 1>the whole segment is is fabulous, all right, But all

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<v Speaker 1>this sort of these sort of visceral reactions to the

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<v Speaker 1>idea of brain soup aside, we are not going to

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<v Speaker 1>be talking about eating brains today on the show. We're

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<v Speaker 1>going to talk about the very real practice, the scientific

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<v Speaker 1>practice of making brain soup to better understand the neural

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<v Speaker 1>power of animal brains. Well, I am very intrigued already now, Robert,

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<v Speaker 1>I know this. The subject is not coming out of nowhere.

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<v Speaker 1>This is inspired by something that you just saw when

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<v Speaker 1>you were at the World Science Festival in New York

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<v Speaker 1>City last week. That's right. Yeah, I just got back

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<v Speaker 1>and uh yeah. This is held every the last week

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<v Speaker 1>of May every year, and as usual I got to

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<v Speaker 1>hear some of the world's leading scientists and thinkers discussed

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<v Speaker 1>a number of exciting topics. And one of the talks

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<v Speaker 1>I attended was rethinking thinking how intelligent are other animals?

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<v Speaker 1>This is always a great subject and something we've revisited

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<v Speaker 1>quite a few times on the podcast before. One time

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<v Speaker 1>we talked with friends devol here on the podcast in

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<v Speaker 1>an interview about his book. His book, I remember it

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<v Speaker 1>had a kind of awkward title. It was something it

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<v Speaker 1>was something like, are we smart enough to know how

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<v Speaker 1>marred animals are? Doesn't really roll off the tongue, but

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<v Speaker 1>it's actually a really good book. Uh. And and this

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<v Speaker 1>has come up with reference to the intelligence of birds

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<v Speaker 1>and and quite a few cases. Actually. Yeah. And so

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<v Speaker 1>this particular talk was loaded with interesting participants, But the

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<v Speaker 1>participant that got me thinking about brain soup was Susanna

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<v Speaker 1>or Kulana Uzel, PhD, a biologist and neuroscientists at Vanderbilt

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<v Speaker 1>University in Nashville, Tennessee, where she is Associate professor in

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<v Speaker 1>the Department of Psychology and biological sciences, and her research

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<v Speaker 1>focuses on what different brains are made off. Now, Robert,

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<v Speaker 1>I envy you getting to see a panel that involved her,

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<v Speaker 1>because I've actually watched a TED talk that she did

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<v Speaker 1>back from I think it was twenty She's a fantastic

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<v Speaker 1>public speaker. So yeah, she seems like a really good

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<v Speaker 1>public science communicator. Yeah, Like when I say, you know

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<v Speaker 1>that you have a panel of of leading scientists there

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<v Speaker 1>on the stage, like, don't don't imagine something stuffy, because

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<v Speaker 1>you often have some just really wonderful science communicators up

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<v Speaker 1>there that you know are experts in their field, but

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<v Speaker 1>are also able to talk about that in a way

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<v Speaker 1>that people at you know, various levels of expertise can

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<v Speaker 1>can jump in on. And that's certainly the case with

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<v Speaker 1>Susanna her colono ozel. Now, I do want to mention

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<v Speaker 1>you're you're hearing this last name. Sometimes you will hear

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<v Speaker 1>people pronounce it her colono hose l um. If you're

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<v Speaker 1>trying to look it up, it's h e r c

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<v Speaker 1>u l a n o dash h o u z

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<v Speaker 1>e l. Trying to to do the name justice here

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<v Speaker 1>with our bungling mouths. So, as she tells it her

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<v Speaker 1>Colona Hoose was working as a science educator um in

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<v Speaker 1>Rio de Janeiro, Brazil, and uh, and she kept running

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<v Speaker 1>into an old myth that I'm sure many of you

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<v Speaker 1>have run into before as well. Now, this is not

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<v Speaker 1>when we use the word myth too in the non

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<v Speaker 1>derogatory science. This is just foundational story, maybe involving supernatural elements. Yeah,

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<v Speaker 1>this is the derogatory myth. And that myth is we

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<v Speaker 1>only use ten percent of our brain. And this has

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<v Speaker 1>been used really overused in sci fi movies, especially over

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<v Speaker 1>the years, as recently as Teens Lucy and twenty eleven

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<v Speaker 1>is limitless um, which by the way, decided to double it,

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<v Speaker 1>but still but still stuck to this idea that there's

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<v Speaker 1>only a small percentage of the human brain that is available. Uh.

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<v Speaker 1>And of course all these these you know, films and

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<v Speaker 1>pretty much anytime you see this trouted out, it's it's

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<v Speaker 1>with the idea like there's there are ways to open

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<v Speaker 1>up the rest of the brain. There's like this dormant brain. Uh,

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<v Speaker 1>these dormant brain portions that can be utilized if only

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<v Speaker 1>you have the key. And the key of course is

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<v Speaker 1>right and it's supplied by you know, some sort of

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<v Speaker 1>mad science. If you're in a fiction or if you're

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<v Speaker 1>encountering it saying some sort of self help scenario, then

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<v Speaker 1>they're going to sell you the key or yeah, if

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<v Speaker 1>you're encountering it and uh, it's say nutritional supplement marketing.

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<v Speaker 1>I mean, this is a big thing out there. Yeah,

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<v Speaker 1>but we say it's a myth because and we'll break

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<v Speaker 1>this down a little bit here, but but basically, there's

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<v Speaker 1>nothing to these numbers. Now, we we all use of

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<v Speaker 1>our brains. Well, when you start, when you start to

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<v Speaker 1>look at the claim, it becomes less and less clear

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<v Speaker 1>what it even means. Does it mean we only use

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<v Speaker 1>ten percent of our brain at a time? Do we

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<v Speaker 1>only use ten percent of it ever in our whole lives?

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<v Speaker 1>Like what even counts as quote using the brain in

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<v Speaker 1>the first place. Yeah, I feel like we've talked about

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<v Speaker 1>about neuroscience on the show enough, you know, and talking

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<v Speaker 1>about various f M R eyes studies and like what

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<v Speaker 1>parts of the brain are lighting up, what parts of

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<v Speaker 1>the brain, and what networks of the brain are associated

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<v Speaker 1>with different thoughts and behaviors, etcetera. That it's it's clear

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<v Speaker 1>that like there's there is definitely a lot of stuff

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<v Speaker 1>in play and then virtually and then really everything is

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<v Speaker 1>in play. Um I guess, I guess the confusion could

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<v Speaker 1>be if you're looking at various images of fm R

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<v Speaker 1>E s and you're thinking, oh, well, that looks about

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<v Speaker 1>like ten percent. That looks about like ten percent. That's

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<v Speaker 1>a really good point. When people talk about f m

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<v Speaker 1>r I studies, sometimes they will loosely and casually try

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<v Speaker 1>to explain the findings of an fMRI I study by saying, Hey,

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<v Speaker 1>when somebody was doing this task with their brain, you know,

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<v Speaker 1>they were trying to tie a knot or they were

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<v Speaker 1>you know, whittling a whittling a horsey out of soap.

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<v Speaker 1>When they're doing this task, this part of their brain

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<v Speaker 1>lights up. That's the phrase this lights up, which implies

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<v Speaker 1>that the entire rest of the brain is dark until

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<v Speaker 1>it just lights up, as if it's like totally dormant,

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<v Speaker 1>and that's not true. I mean brain imaging studies like

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<v Speaker 1>you know, PET scans and fMRI I that they show

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<v Speaker 1>relative activity, so that they're charting activity and seeing what

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<v Speaker 1>areas get get surges of activity relative to what they

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<v Speaker 1>were doing at other times. Right there, the areas that

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<v Speaker 1>are not lit up are not lifeless, right, But I mean,

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<v Speaker 1>even back to this, I want to know again what

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<v Speaker 1>what would actually mean to use your whole brain or

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<v Speaker 1>to use certain percentages of your brain. I was reading

0:11:54.559 --> 0:11:56.920
<v Speaker 1>around about this and I found one pretty interesting thing.

0:11:57.000 --> 0:12:00.320
<v Speaker 1>So the neuroscientist Gabrielle and Torrey I think she's at

0:12:00.360 --> 0:12:04.400
<v Speaker 1>Boston University now. She wrote an interesting post about this

0:12:04.520 --> 0:12:06.959
<v Speaker 1>myth that I found on a website called Knowing Neurons,

0:12:07.000 --> 0:12:10.719
<v Speaker 1>and in one section of her article, she discusses difficulties

0:12:10.760 --> 0:12:14.280
<v Speaker 1>determining what it would actually mean to use quote a

0:12:14.360 --> 0:12:16.960
<v Speaker 1>hundred percent of your brain, Like there's no single way

0:12:16.960 --> 0:12:19.680
<v Speaker 1>to measure what portion of the brain is being used

0:12:19.720 --> 0:12:22.720
<v Speaker 1>at any given time. The default mode network, of course,

0:12:22.840 --> 0:12:25.480
<v Speaker 1>is in operation throughout the brain pretty much all the time.

0:12:26.080 --> 0:12:29.079
<v Speaker 1>But does that not count as the brain being used?

0:12:29.120 --> 0:12:31.240
<v Speaker 1>I mean, even when you're at rest, the default mode

0:12:31.320 --> 0:12:34.640
<v Speaker 1>network is whirrying away all throughout the brain quite unfortunately

0:12:34.640 --> 0:12:36.840
<v Speaker 1>in some cases. In some case, I don't know if

0:12:36.880 --> 0:12:38.640
<v Speaker 1>you'd want to be without your default Well now I

0:12:38.640 --> 0:12:40.520
<v Speaker 1>wouldn't want to give it up, but it it is

0:12:40.600 --> 0:12:42.600
<v Speaker 1>kind of thorn in my side at times. Oh, it

0:12:42.679 --> 0:12:45.880
<v Speaker 1>certainly can be. But then interesting I really like this part.

0:12:45.920 --> 0:12:49.440
<v Speaker 1>So she tries to take this claim seriously, like this

0:12:49.480 --> 0:12:53.160
<v Speaker 1>ten percent of the brain is being used claim, and

0:12:53.720 --> 0:12:55.640
<v Speaker 1>she's like, what would that actually mean? Well, she offers

0:12:55.679 --> 0:12:58.440
<v Speaker 1>one interpretation of what it would mean to use a

0:12:58.520 --> 0:13:00.640
<v Speaker 1>hundred percent of your brain, and it would mean a

0:13:00.679 --> 0:13:04.120
<v Speaker 1>Grand Moll seizure. So it would be like limitless except

0:13:04.120 --> 0:13:06.920
<v Speaker 1>Bradley Cooper takes a magic pill and it just makes

0:13:06.960 --> 0:13:10.960
<v Speaker 1>his brain like like we almost explode. Yeah, exactly. So,

0:13:11.000 --> 0:13:13.840
<v Speaker 1>to read from tories where quote, seizures are defined by

0:13:13.880 --> 0:13:16.760
<v Speaker 1>excessive and synchronous neural activity. If we wanted to use

0:13:16.800 --> 0:13:19.920
<v Speaker 1>a hundred percent of our brains to stimulate each of

0:13:19.960 --> 0:13:23.160
<v Speaker 1>the brains one hundred billion neurons, this is funny. We

0:13:23.200 --> 0:13:25.640
<v Speaker 1>should come back to this in a second, to maximum

0:13:25.679 --> 0:13:30.800
<v Speaker 1>capacity firing would result in a likely fatal physical experience

0:13:30.840 --> 0:13:34.160
<v Speaker 1>to hope for synchronous exit. Tory activity across the cortex

0:13:34.240 --> 0:13:38.080
<v Speaker 1>is in many ways synonymous to a Grand Mall seizure. Uh.

0:13:38.120 --> 0:13:40.240
<v Speaker 1>This is the most severe type of seizure and leads

0:13:40.240 --> 0:13:43.720
<v Speaker 1>to loss of consciousness and severe muscle contractions, not the

0:13:43.800 --> 0:13:47.679
<v Speaker 1>unlocking of superhuman abilities. So I think, obviously we don't

0:13:47.920 --> 0:13:51.960
<v Speaker 1>just want universal synchronous patterns of excitation of every neuron

0:13:52.000 --> 0:13:56.720
<v Speaker 1>in the cortex. That's stupid. That's not something to wish for, right,

0:13:56.800 --> 0:14:00.839
<v Speaker 1>It's like, you don't want the brain working that hard universally.

0:14:00.880 --> 0:14:02.360
<v Speaker 1>It's like you don't want your your you don't want

0:14:02.360 --> 0:14:05.640
<v Speaker 1>your xbox to be clearly just just heating up and

0:14:05.720 --> 0:14:07.920
<v Speaker 1>like that the fan is about to explode like that.

0:14:08.040 --> 0:14:10.280
<v Speaker 1>You know, something's wrong with it. Yeah, my CPU is

0:14:10.320 --> 0:14:16.360
<v Speaker 1>a constantly And she also mentions the default mode network.

0:14:16.440 --> 0:14:20.200
<v Speaker 1>You know, it's this diffuse, interconnected set of activity notes

0:14:20.280 --> 0:14:23.360
<v Speaker 1>that show activation when the brain is otherwise at rest.

0:14:23.520 --> 0:14:27.000
<v Speaker 1>You know, it shows the brain is pretty much never dormant.

0:14:27.000 --> 0:14:30.000
<v Speaker 1>There's activity throughout most of the brain most of the time.

0:14:30.480 --> 0:14:34.520
<v Speaker 1>So where did this clearly false claim come from? The

0:14:34.560 --> 0:14:36.840
<v Speaker 1>answer actually isn't known for sure, but I found one

0:14:36.880 --> 0:14:41.280
<v Speaker 1>commonly cited early example is a quote falsely attributed to

0:14:41.320 --> 0:14:44.520
<v Speaker 1>the American psychologist William James, the author of a great

0:14:44.560 --> 0:14:47.320
<v Speaker 1>classic text, The Varieties of Religious Experience, which is still

0:14:47.320 --> 0:14:49.760
<v Speaker 1>interesting to read parts of today. Yeah, we've cited him

0:14:49.800 --> 0:14:52.040
<v Speaker 1>a few different times on the show. Yeah, but apparently

0:14:52.160 --> 0:14:56.040
<v Speaker 1>James did write something generically kind of like this, but

0:14:56.080 --> 0:14:58.800
<v Speaker 1>without a number sited uh in a piece called The

0:14:58.920 --> 0:15:02.160
<v Speaker 1>Energies of Men, where you wrote, quote, we are making

0:15:02.280 --> 0:15:04.760
<v Speaker 1>use of only a small part of our possible mental

0:15:04.760 --> 0:15:08.480
<v Speaker 1>and physical resources, which is a very different kind of statement. Right. Yeah,

0:15:08.480 --> 0:15:10.400
<v Speaker 1>he's not putting a fine number on it or saying

0:15:10.400 --> 0:15:14.960
<v Speaker 1>like I mean that that statement alone is not not

0:15:15.000 --> 0:15:18.240
<v Speaker 1>implying that the portions of the brain are inactive, just that,

0:15:18.600 --> 0:15:21.480
<v Speaker 1>for you know, we're not taking full um advantage of

0:15:21.480 --> 0:15:25.200
<v Speaker 1>our neurological potential. And I want to mention a bit

0:15:25.240 --> 0:15:27.720
<v Speaker 1>more about that in a second. Uh So, as to

0:15:27.880 --> 0:15:30.280
<v Speaker 1>the origin of the phrase, the ten percent figure is

0:15:30.320 --> 0:15:33.280
<v Speaker 1>also cited in the nineteen thirties, and this has been

0:15:33.280 --> 0:15:35.920
<v Speaker 1>pointed out by quite a few investigators by the author

0:15:36.040 --> 0:15:40.160
<v Speaker 1>of an introduction to Dale Carnegie's classic self help book

0:15:40.200 --> 0:15:43.760
<v Speaker 1>How to Win Friends and Influence People, which possibly little

0:15:43.800 --> 0:15:47.680
<v Speaker 1>known fact Charles Manson's favorite book, Really Yeah, a classic

0:15:47.760 --> 0:15:50.960
<v Speaker 1>of business leaders and serial killers alike. But this explains

0:15:50.960 --> 0:15:53.160
<v Speaker 1>it a bit though. Right we have here an introduction

0:15:53.240 --> 0:15:57.360
<v Speaker 1>to a widely read popular book. Yeah, and the author

0:15:57.400 --> 0:15:59.720
<v Speaker 1>of the introduction says, we only act, you know, we

0:15:59.800 --> 0:16:02.320
<v Speaker 1>only use ten percent of our brains. The vast amount

0:16:02.360 --> 0:16:05.720
<v Speaker 1>of our mental potential is untapped. And I mentioned this

0:16:05.760 --> 0:16:07.680
<v Speaker 1>a minute ago, but I I just want to hammer

0:16:07.720 --> 0:16:10.360
<v Speaker 1>home again. I feel like I've seen this nonsensical ten

0:16:10.400 --> 0:16:14.680
<v Speaker 1>percent fact invoked by people selling some of the various

0:16:14.720 --> 0:16:19.160
<v Speaker 1>like brain booster pills and supposed new tropics supplements. Uh.

0:16:19.520 --> 0:16:22.120
<v Speaker 1>I would advise people to be cautious about that kind

0:16:22.160 --> 0:16:24.560
<v Speaker 1>of stuff. And I'm not ruling out the possibility that

0:16:24.600 --> 0:16:28.000
<v Speaker 1>there are some nutritional supplements or drugs that might in

0:16:28.080 --> 0:16:31.400
<v Speaker 1>some cases have a small effect on mental performance. But

0:16:31.440 --> 0:16:33.720
<v Speaker 1>if somebody is trying to sell you pills that will

0:16:33.840 --> 0:16:37.560
<v Speaker 1>unlock the untapped godlike potential of the you know, the

0:16:37.600 --> 0:16:40.640
<v Speaker 1>paid access part of your brain, the brains premium content.

0:16:41.040 --> 0:16:43.840
<v Speaker 1>As a general rule, be suspicious of this. I would.

0:16:44.080 --> 0:16:46.600
<v Speaker 1>I would advise in general, don't trust them and don't

0:16:46.600 --> 0:16:49.560
<v Speaker 1>give them your money, because they're certainly tapping into something

0:16:50.160 --> 0:16:51.680
<v Speaker 1>I think we all know to be true and we

0:16:51.720 --> 0:16:54.040
<v Speaker 1>all certainly want to be true, the idea that there

0:16:54.120 --> 0:16:58.080
<v Speaker 1>is room for improvement exactly, that we can learn new things,

0:16:58.160 --> 0:17:00.200
<v Speaker 1>that we can we can take on new pattern and

0:17:00.240 --> 0:17:01.920
<v Speaker 1>all of these things are true. You don't need a

0:17:01.920 --> 0:17:04.199
<v Speaker 1>phony number to back that up exactly right. I mean,

0:17:04.240 --> 0:17:05.879
<v Speaker 1>I think a large part of the basis for this

0:17:05.920 --> 0:17:09.560
<v Speaker 1>false fact about ten percent lies not in how much

0:17:09.640 --> 0:17:12.400
<v Speaker 1>of our brains we use as a as a ratio,

0:17:12.880 --> 0:17:15.640
<v Speaker 1>but in the way that we use our brains. And

0:17:15.800 --> 0:17:18.280
<v Speaker 1>the most salient example that comes to my mind is

0:17:18.680 --> 0:17:22.159
<v Speaker 1>the psychologist Daniel Konomon is really useful metaphors of system

0:17:22.200 --> 0:17:25.280
<v Speaker 1>one versus system to thinking. You know, so system one

0:17:25.280 --> 0:17:27.760
<v Speaker 1>we've discussed on the podcast before, but system one is

0:17:27.800 --> 0:17:31.240
<v Speaker 1>a suite of human brain functions that allow us to

0:17:31.280 --> 0:17:36.400
<v Speaker 1>process information in a fast, easy, automatic, and approximate way.

0:17:36.440 --> 0:17:40.480
<v Speaker 1>It's intuition, so you know, think rules of thumb, stereotypes,

0:17:40.680 --> 0:17:45.920
<v Speaker 1>intuitive and reactive thinking eyebawling it. Meanwhile, system two is

0:17:45.960 --> 0:17:49.679
<v Speaker 1>described as the slow, deliberate, effortful thinking, the kind of

0:17:49.720 --> 0:17:52.560
<v Speaker 1>reasoning you use when you make a list of pros

0:17:52.600 --> 0:17:55.280
<v Speaker 1>and cons, or you solve a math problem, or you

0:17:55.400 --> 0:17:59.439
<v Speaker 1>carefully plan a route of movement somewhere, or you effortfully

0:17:59.480 --> 0:18:02.560
<v Speaker 1>trace out the logic of an argument. We're all capable

0:18:02.600 --> 0:18:05.439
<v Speaker 1>of both kinds of thinking, but we also rely on

0:18:05.600 --> 0:18:08.639
<v Speaker 1>system one most of the time for most things, and

0:18:08.680 --> 0:18:12.520
<v Speaker 1>that's because of efficiency. Like, you can't process all information

0:18:12.560 --> 0:18:15.639
<v Speaker 1>in a slow, effortful way, you don't have time, and

0:18:15.720 --> 0:18:18.119
<v Speaker 1>System one is not all bad in some tasks. I

0:18:18.160 --> 0:18:20.960
<v Speaker 1>think it might actually be superior. Like consider the way

0:18:21.000 --> 0:18:26.360
<v Speaker 1>that overthinking some athletic tasks like shooting a basketball actually

0:18:26.400 --> 0:18:28.840
<v Speaker 1>makes you worse at them. You know, like a lot

0:18:28.840 --> 0:18:31.320
<v Speaker 1>of players find that they sink more baskets if they

0:18:31.359 --> 0:18:33.720
<v Speaker 1>just try to relax and let the shot happen rather

0:18:33.760 --> 0:18:37.160
<v Speaker 1>than focusing on the distance and the angle and everything.

0:18:37.760 --> 0:18:39.960
<v Speaker 1>And I think this actually even comes through in some

0:18:40.000 --> 0:18:43.040
<v Speaker 1>more abstract tasks, like sometimes I think people can be

0:18:43.040 --> 0:18:46.200
<v Speaker 1>better writers if they if they just kind of enter

0:18:46.240 --> 0:18:50.320
<v Speaker 1>a flow state and not sitting overthink over, deliberative lee

0:18:50.359 --> 0:18:53.960
<v Speaker 1>about the sentences they're constructing. This is very interesting and

0:18:54.200 --> 0:18:56.160
<v Speaker 1>hopefully this won't be too much of a tangent here,

0:18:56.200 --> 0:18:58.800
<v Speaker 1>but um, but it's also we have to be careful

0:18:58.800 --> 0:19:01.600
<v Speaker 1>about thinking about like system on a system to being

0:19:01.680 --> 0:19:05.760
<v Speaker 1>just complete like jackal and hides. Because actually the World

0:19:05.760 --> 0:19:08.320
<v Speaker 1>Science Festival, another panel I attendant had to do with

0:19:08.440 --> 0:19:12.000
<v Speaker 1>risky behavior and risk taking, especially in extreme sports UH

0:19:12.080 --> 0:19:15.680
<v Speaker 1>such as say free solo climbing UH and like free

0:19:15.680 --> 0:19:17.879
<v Speaker 1>cloaks of solo climbing is a great example because you

0:19:17.960 --> 0:19:21.760
<v Speaker 1>have you have certain individuals who definitely display more of

0:19:21.800 --> 0:19:25.560
<v Speaker 1>a system to approach, like they are methodical. They're they're

0:19:25.600 --> 0:19:29.080
<v Speaker 1>not they're not climbing at climbing that that that that

0:19:29.080 --> 0:19:32.639
<v Speaker 1>that sheer cliff without the aid of ropes, you know,

0:19:33.280 --> 0:19:36.320
<v Speaker 1>without having practiced it many times, without having climbed it

0:19:36.359 --> 0:19:39.840
<v Speaker 1>many times with ropes and thinking through several moves ahead,

0:19:39.960 --> 0:19:42.200
<v Speaker 1>you'll see where you're going to go. On the other hand,

0:19:42.240 --> 0:19:45.359
<v Speaker 1>you have individuals who do have more of an impulsive

0:19:46.000 --> 0:19:50.760
<v Speaker 1>approach to risky behaviors, risk taking activities. But like with

0:19:50.800 --> 0:19:53.240
<v Speaker 1>the basketball, you can say, well you can perhaps you're

0:19:53.280 --> 0:19:56.800
<v Speaker 1>engaging in system too to practice so that you can

0:19:56.840 --> 0:20:00.520
<v Speaker 1>reach the point where you can engage with the challenge

0:20:00.800 --> 0:20:03.880
<v Speaker 1>with a system one mindset. I think that's exactly right. So, yeah,

0:20:03.880 --> 0:20:06.720
<v Speaker 1>system one is not necessarily bad. It's not all bad.

0:20:07.040 --> 0:20:10.240
<v Speaker 1>Sometimes it's bad. And I think we're all aware of

0:20:10.320 --> 0:20:16.040
<v Speaker 1>cases where we have used fast, intuitive, reactive, likely inaccurate

0:20:16.119 --> 0:20:19.320
<v Speaker 1>thinking when we know that we probably could have and

0:20:19.359 --> 0:20:22.840
<v Speaker 1>should have stopped to think things out slowly and deliberately.

0:20:22.960 --> 0:20:26.119
<v Speaker 1>Like you can probably immediately think of examples where you

0:20:26.160 --> 0:20:29.320
<v Speaker 1>really wish you had switched over to system to thinking,

0:20:29.600 --> 0:20:32.280
<v Speaker 1>but you made a fast intuitive decision and you came

0:20:32.320 --> 0:20:34.679
<v Speaker 1>to regret it. And I think it's this kind of

0:20:34.760 --> 0:20:39.440
<v Speaker 1>frequently squandered mental potential that becomes the nugget of truth

0:20:39.520 --> 0:20:42.400
<v Speaker 1>in the ten percent factoid. We use our whole brains,

0:20:42.440 --> 0:20:45.520
<v Speaker 1>but we don't always use our brains as effectively as

0:20:45.560 --> 0:20:49.520
<v Speaker 1>we know we're capable of in every scenario, because it's hard,

0:20:49.760 --> 0:20:52.760
<v Speaker 1>because we're in a hurry. Does that make sense? Absolutely? Yeah.

0:20:52.800 --> 0:20:55.600
<v Speaker 1>We we we delive life. We have to engage both approaches

0:20:55.760 --> 0:20:58.240
<v Speaker 1>to our decision. Make yeah. All right. On that note,

0:20:58.240 --> 0:20:59.639
<v Speaker 1>we're going to take a quick break, but when we

0:20:59.680 --> 0:21:02.440
<v Speaker 1>come we're going to return to the idea of brain

0:21:02.520 --> 0:21:05.399
<v Speaker 1>soup and to the work of Susanna or Coolana Ozel.

0:21:06.160 --> 0:21:11.080
<v Speaker 1>Thank alright, we're back. So we got sidetracked on the

0:21:11.080 --> 0:21:14.040
<v Speaker 1>the idea of whether or not people actually use more

0:21:14.080 --> 0:21:16.639
<v Speaker 1>than ten percent of their brains. We do in pretty

0:21:16.680 --> 0:21:19.760
<v Speaker 1>much any way you interpret that. But that came up

0:21:19.800 --> 0:21:23.360
<v Speaker 1>because it was the basis of a journey of research

0:21:23.480 --> 0:21:27.080
<v Speaker 1>that the neuroscientist Susanna or ku Lana Uzel went on.

0:21:27.280 --> 0:21:29.800
<v Speaker 1>And so let's pick back up with her story from

0:21:29.800 --> 0:21:31.879
<v Speaker 1>the event you saw in New York City. All right,

0:21:31.920 --> 0:21:34.600
<v Speaker 1>So she was talking about another number that she kept

0:21:34.600 --> 0:21:37.480
<v Speaker 1>coming across that she found curious, that she found suspicious,

0:21:38.040 --> 0:21:41.359
<v Speaker 1>and that is the number one billion. Oh now, this

0:21:41.480 --> 0:21:43.359
<v Speaker 1>just came up a minute ago when we were talking

0:21:43.359 --> 0:21:46.040
<v Speaker 1>about an approximation. Now I don't want to indict the

0:21:46.040 --> 0:21:50.360
<v Speaker 1>author that cited and because it's a reasonable approximation, but well, yeah,

0:21:50.400 --> 0:21:52.920
<v Speaker 1>and we'll get into we'll get into that. But but yeah,

0:21:52.960 --> 0:21:55.560
<v Speaker 1>she kept running across this idea that the human brain

0:21:55.640 --> 0:21:58.880
<v Speaker 1>contains a hundred billion neurons and ten times as many

0:21:58.880 --> 0:22:02.240
<v Speaker 1>glial cells. But the thing is unlike that ten percent

0:22:02.320 --> 0:22:04.959
<v Speaker 1>of the brain thing. This was not merely the domain

0:22:05.040 --> 0:22:08.440
<v Speaker 1>of pop culture and science fiction. No, this figure freak

0:22:08.560 --> 0:22:12.199
<v Speaker 1>was frequently cited by neuroscientists, by psychologists, and and sometimes

0:22:12.240 --> 0:22:15.080
<v Speaker 1>applied as a as a comparison to the number of

0:22:15.160 --> 0:22:17.879
<v Speaker 1>stars in the Milky Way. I imagine a number of

0:22:17.920 --> 0:22:20.439
<v Speaker 1>you have heard this one before. What a hundred billion

0:22:20.440 --> 0:22:22.560
<v Speaker 1>stars in the Milky Way. Yeah, So the idea of

0:22:22.640 --> 0:22:24.639
<v Speaker 1>being like, hey, you have a hundred a hundred billion

0:22:24.680 --> 0:22:26.760
<v Speaker 1>eurons in your head. That's as many stars as there

0:22:26.800 --> 0:22:29.120
<v Speaker 1>are in the Milky Way, which I mean, on one level,

0:22:29.160 --> 0:22:31.640
<v Speaker 1>I think that's a useful metaphor because you're basically making

0:22:31.640 --> 0:22:35.880
<v Speaker 1>the statement that um that that inner space is as

0:22:35.920 --> 0:22:38.800
<v Speaker 1>complex and vast as we take outer space to be.

0:22:39.200 --> 0:22:41.159
<v Speaker 1>But on the other hand, when you start looking at

0:22:41.200 --> 0:22:44.720
<v Speaker 1>those actual numbers, uh, there's some problems on both sides

0:22:45.359 --> 0:22:48.159
<v Speaker 1>because for starters, the hundred billion star estimate in the

0:22:48.160 --> 0:22:51.200
<v Speaker 1>Milky Way is not a solid number. By some estimations,

0:22:51.240 --> 0:22:53.640
<v Speaker 1>the Milky Way has the mass of a hundred billion

0:22:53.720 --> 0:22:57.320
<v Speaker 1>solar masses, but other estimates, say four hundred billion or

0:22:57.320 --> 0:23:00.760
<v Speaker 1>even seven hundred billion solar masses is more accurate. Yeah,

0:23:00.760 --> 0:23:03.880
<v Speaker 1>this is a fascinating question on its own. So it's

0:23:03.880 --> 0:23:05.960
<v Speaker 1>difficult to know the number of stars in the Milky

0:23:06.000 --> 0:23:09.520
<v Speaker 1>Way galaxy because obviously we can't just count them, as

0:23:09.520 --> 0:23:11.879
<v Speaker 1>you can't look up there and count them. The best

0:23:11.920 --> 0:23:14.480
<v Speaker 1>we can do is estimate on the basis of the

0:23:14.520 --> 0:23:17.159
<v Speaker 1>mass and luminosity of the galaxy as a whole. But

0:23:17.520 --> 0:23:20.280
<v Speaker 1>this presents difficulties too because there are plenty of things

0:23:20.400 --> 0:23:24.280
<v Speaker 1>in the galaxy other than stars. Right, the vast majority

0:23:24.320 --> 0:23:27.560
<v Speaker 1>of the mass of our galaxy is not even normal matter.

0:23:27.640 --> 0:23:29.919
<v Speaker 1>It seems to be dark matter, which is still an

0:23:30.000 --> 0:23:33.960
<v Speaker 1>unsolved mystery and astrophysics and dark matter, of course is

0:23:34.000 --> 0:23:37.919
<v Speaker 1>this hypothetical stuff that we detect by measuring its mass,

0:23:37.960 --> 0:23:41.080
<v Speaker 1>in other words, the gravitational effect it has on stuff

0:23:41.119 --> 0:23:44.400
<v Speaker 1>around it, but it doesn't appear to interact with electromagnetic

0:23:44.480 --> 0:23:48.200
<v Speaker 1>radiation like light, making it unlike any other ordinary matter

0:23:48.280 --> 0:23:50.520
<v Speaker 1>that we know of. So at this point we don't

0:23:50.520 --> 0:23:52.399
<v Speaker 1>know what that stuff is. And that's most of the

0:23:52.440 --> 0:23:55.000
<v Speaker 1>mass out there. And then past that, we know that

0:23:55.119 --> 0:23:57.159
<v Speaker 1>a lot of the ordinary matter in the galaxy is

0:23:57.160 --> 0:24:01.480
<v Speaker 1>not just stars. Some of it is uh like unincorporated debris,

0:24:01.680 --> 0:24:05.800
<v Speaker 1>cosmic gas and dust, just hydrogen clouds out there. Of

0:24:05.840 --> 0:24:08.119
<v Speaker 1>course that's not the majority of the luminous matter, but

0:24:08.119 --> 0:24:11.240
<v Speaker 1>it's enough to complicate the problem of estimating star counts.

0:24:11.560 --> 0:24:13.520
<v Speaker 1>And then on top of that, you've got ice and

0:24:13.600 --> 0:24:17.080
<v Speaker 1>comets and planets and black holes and a supermassive black

0:24:17.080 --> 0:24:19.320
<v Speaker 1>hole at the center of the galaxy. And on top

0:24:19.359 --> 0:24:22.720
<v Speaker 1>of that also stars are of dramatically different masses, so

0:24:22.760 --> 0:24:26.080
<v Speaker 1>you have to figure out the right average stellar mass

0:24:26.119 --> 0:24:29.640
<v Speaker 1>to divide by. So it's it's almost like this isn't

0:24:29.680 --> 0:24:31.680
<v Speaker 1>a perfect metaphor, but I was trying to think of one.

0:24:31.840 --> 0:24:35.439
<v Speaker 1>It's almost like catching an unknown species of fish and

0:24:35.480 --> 0:24:37.920
<v Speaker 1>then weighing it and then trying to guess how many

0:24:38.040 --> 0:24:41.000
<v Speaker 1>bones it has. You know, like, you can't count them

0:24:41.000 --> 0:24:43.960
<v Speaker 1>just from looking from the outside. Uh. And the bones

0:24:44.000 --> 0:24:46.920
<v Speaker 1>aren't all the same size and weight. Uh. And there's

0:24:46.920 --> 0:24:49.480
<v Speaker 1>a lot of other stuff in there too that's not bones.

0:24:49.520 --> 0:24:52.040
<v Speaker 1>But so you can't sort of estimate based on a

0:24:52.119 --> 0:24:55.439
<v Speaker 1>number of likely assumptions, but you can't get an accurate count,

0:24:55.720 --> 0:24:58.679
<v Speaker 1>which leads us back to the human brain. And this

0:24:58.880 --> 0:25:01.760
<v Speaker 1>idea of this number that was thrown around again not

0:25:02.359 --> 0:25:05.280
<v Speaker 1>non in science fiction films, but in pure viewed papers,

0:25:05.280 --> 0:25:08.119
<v Speaker 1>in uh in in in textbooks as well. It was

0:25:08.200 --> 0:25:11.040
<v Speaker 1>just out there and sort of the the scientific zeite

0:25:11.080 --> 0:25:14.080
<v Speaker 1>guys the idea that there were a hundred billion neurons

0:25:14.119 --> 0:25:16.199
<v Speaker 1>in the human brain. And we didn't know where this

0:25:16.280 --> 0:25:21.159
<v Speaker 1>number comes from, right, And so Susannah Rocolano Hozel she

0:25:21.280 --> 0:25:23.639
<v Speaker 1>was wondering too, and so she she started looking into it,

0:25:23.640 --> 0:25:26.200
<v Speaker 1>and she looked and looked, and she found no pre

0:25:26.280 --> 0:25:29.320
<v Speaker 1>existing count, no scientific basis for the number at all.

0:25:29.359 --> 0:25:32.080
<v Speaker 1>The number was just floating around in the scientific world.

0:25:32.800 --> 0:25:36.240
<v Speaker 1>So the obvious solution is, well, somebody's got to to

0:25:36.600 --> 0:25:39.840
<v Speaker 1>look it up. Somebody's got to count these neurons, and

0:25:39.880 --> 0:25:42.679
<v Speaker 1>so she set out to do just that via a

0:25:42.720 --> 0:25:45.840
<v Speaker 1>novel tool that she developed in the lab in two

0:25:45.920 --> 0:25:49.760
<v Speaker 1>thousand five, and that is turning brains into soup, the

0:25:49.840 --> 0:25:54.280
<v Speaker 1>cification of the of of of the animal brain question.

0:25:54.960 --> 0:25:58.239
<v Speaker 1>Did she say what the soup tastes like? No? I

0:25:58.240 --> 0:26:02.919
<v Speaker 1>believe she said that the soup looked like unfiltered apple juice,

0:26:03.400 --> 0:26:06.080
<v Speaker 1>and apparently turned some of the students off of apple juice.

0:26:06.119 --> 0:26:08.160
<v Speaker 1>Perhaps forever it looks I mean, I've seen it looks

0:26:08.200 --> 0:26:11.280
<v Speaker 1>like murky swamp water. Yeah, so I doubt that anybody

0:26:11.320 --> 0:26:14.600
<v Speaker 1>tasted it, because this is sort of like priceless research material.

0:26:15.280 --> 0:26:18.480
<v Speaker 1>But uh, I don't know. Then again, you wonder if

0:26:18.520 --> 0:26:21.240
<v Speaker 1>somebody got curious at some point. I don't know. She's

0:26:21.359 --> 0:26:24.240
<v Speaker 1>she's a she's a pretty good she's a wonderful communicator,

0:26:24.520 --> 0:26:27.000
<v Speaker 1>and she has a wonderful sense of humor. I imagine

0:26:27.000 --> 0:26:30.280
<v Speaker 1>if somebody had tasted it, even accidentally, she would she

0:26:30.320 --> 0:26:32.240
<v Speaker 1>would have mentioned it in one of the talks or

0:26:32.520 --> 0:26:34.520
<v Speaker 1>or write ups or interviews that we looked at. You

0:26:34.600 --> 0:26:36.439
<v Speaker 1>know what, I've got a guess as to what it

0:26:36.440 --> 0:26:39.800
<v Speaker 1>tastes like. I bet it tastes like chicken stock. Probably

0:26:40.040 --> 0:26:43.040
<v Speaker 1>probably a good a good guess and well and perhaps

0:26:43.080 --> 0:26:47.200
<v Speaker 1>from Mount hot but we'll get into that. Uh So, basically, yeah,

0:26:47.240 --> 0:26:49.680
<v Speaker 1>so she she set out to make brains into soup.

0:26:50.200 --> 0:26:53.960
<v Speaker 1>Uh So, Basically she came across previous lab efforts from

0:26:54.000 --> 0:26:56.639
<v Speaker 1>the nineteen seventies to turn the brain into soups to

0:26:56.640 --> 0:27:00.520
<v Speaker 1>measure DNA concentrations um. And one of the keys here

0:27:00.600 --> 0:27:03.919
<v Speaker 1>is that soup is a homogeneous solution. So if you

0:27:03.960 --> 0:27:08.560
<v Speaker 1>reduce something like like the brain that to soup, then

0:27:08.640 --> 0:27:10.639
<v Speaker 1>you you have a better ability to like get a

0:27:10.680 --> 0:27:14.199
<v Speaker 1>sample of that soup, do account within that sample, and

0:27:14.240 --> 0:27:18.399
<v Speaker 1>then apply that, you know, to the full volume of

0:27:18.440 --> 0:27:20.920
<v Speaker 1>the soup. So anyway, she said, well, well I could

0:27:21.000 --> 0:27:24.400
<v Speaker 1>use this method then, uh to figure out how many

0:27:24.400 --> 0:27:27.400
<v Speaker 1>neurons during the brain. You know, liquefy cell membranes leave

0:27:27.440 --> 0:27:30.840
<v Speaker 1>the nuclei intact, allowing them, allowing everyone to you know,

0:27:30.880 --> 0:27:33.639
<v Speaker 1>to count the remaining nuclei in a small sample and

0:27:33.680 --> 0:27:36.280
<v Speaker 1>then multiply the number by the overall volume to get

0:27:36.320 --> 0:27:38.480
<v Speaker 1>the whole brain total of neurons. This is great. You

0:27:38.520 --> 0:27:41.159
<v Speaker 1>can't do this with a galaxy, can you, Like, you

0:27:41.200 --> 0:27:43.800
<v Speaker 1>can't just look at one section of a galaxy and say, okay,

0:27:43.840 --> 0:27:46.360
<v Speaker 1>now multiply that by the total area of the galaxy.

0:27:46.440 --> 0:27:49.840
<v Speaker 1>Because galaxies are not homogeneous, you would have to turn

0:27:49.880 --> 0:27:52.760
<v Speaker 1>it to soup first, which you cannot do or I

0:27:52.800 --> 0:27:54.800
<v Speaker 1>mean not on our scale. Anyway, you would have to

0:27:54.840 --> 0:27:57.679
<v Speaker 1>have godlike powers, and then you would destroy the universe.

0:27:57.840 --> 0:28:00.920
<v Speaker 1>Maybe that's how the world ends. That's the true Naroc scenario.

0:28:01.600 --> 0:28:05.560
<v Speaker 1>Is the god or gods asked the question how many planets?

0:28:05.600 --> 0:28:08.400
<v Speaker 1>How many stars are kicking around this thing? Well, let's

0:28:08.400 --> 0:28:10.640
<v Speaker 1>turn it to soup and find out exactly, Loki says,

0:28:10.880 --> 0:28:13.040
<v Speaker 1>or you can't count the number of stars in the sky,

0:28:13.200 --> 0:28:16.240
<v Speaker 1>and he's like, watch me, Well this sounds this is

0:28:16.280 --> 0:28:18.880
<v Speaker 1>exactly the kind of gamble that that ancient gods would

0:28:18.920 --> 0:28:21.560
<v Speaker 1>get into. You know, um, just a mere bet, and

0:28:21.720 --> 0:28:25.840
<v Speaker 1>everything for mortals is at stake, right, But anyway, or

0:28:25.920 --> 0:28:29.240
<v Speaker 1>Colono was not interested in that. She's interested in the brain.

0:28:29.320 --> 0:28:32.959
<v Speaker 1>So the main challenge with souping the brain was souping

0:28:33.000 --> 0:28:35.760
<v Speaker 1>it just enough to retain the cell nuclei, but without

0:28:35.760 --> 0:28:40.000
<v Speaker 1>breaking any of that down. Initial souping experiments via essentially

0:28:40.000 --> 0:28:43.440
<v Speaker 1>a detergent went too far and attempts to flash freeze

0:28:43.440 --> 0:28:46.320
<v Speaker 1>them with wicked night liquid nitrogen and then blend them. Well,

0:28:46.320 --> 0:28:48.120
<v Speaker 1>that just caused a cracked mess. And she says that

0:28:48.120 --> 0:28:50.560
<v Speaker 1>they were like frozen pieces of brain all over the place.

0:28:51.000 --> 0:28:53.480
<v Speaker 1>I think if anyone was going to taste her brain soup,

0:28:53.520 --> 0:28:55.560
<v Speaker 1>that was probably gonna be when it would have occurred.

0:28:56.520 --> 0:28:59.440
<v Speaker 1>But anyway, then she found a solution fixing the brain

0:28:59.480 --> 0:29:02.360
<v Speaker 1>tissue with from all the eyed before the dissolving it.

0:29:02.400 --> 0:29:05.800
<v Speaker 1>And the result, she says, again, looks like unfiltered apple

0:29:05.880 --> 0:29:08.560
<v Speaker 1>juice and allows this kind of count to take place. Right, so,

0:29:08.640 --> 0:29:11.360
<v Speaker 1>you can pull out a small sample, you know what

0:29:11.440 --> 0:29:14.240
<v Speaker 1>the volume of that is compared to the entire volume

0:29:14.240 --> 0:29:16.440
<v Speaker 1>of the sample, and then you count the number of

0:29:16.880 --> 0:29:20.000
<v Speaker 1>neuron nuclei in the small sample and then multiply that

0:29:20.040 --> 0:29:23.440
<v Speaker 1>by the total volume exactly. Okay, So I think I

0:29:23.480 --> 0:29:26.520
<v Speaker 1>mentioned earlier there's a TED talk she did in where

0:29:26.520 --> 0:29:29.560
<v Speaker 1>she shows off anyway, in the middle of this this

0:29:29.600 --> 0:29:32.040
<v Speaker 1>TED talk, she shows off a vial of this brain

0:29:32.080 --> 0:29:34.400
<v Speaker 1>soup on the stage. It's a little glass jar of

0:29:34.520 --> 0:29:36.880
<v Speaker 1>mouse brain souper. Might be plastic, I don't know. It's

0:29:36.880 --> 0:29:39.080
<v Speaker 1>a jar of mouse brain soup. It looks like murky

0:29:39.120 --> 0:29:41.600
<v Speaker 1>swamp water. It's kind of sort of like an off

0:29:41.680 --> 0:29:44.560
<v Speaker 1>beige kind of color. One of the best things about

0:29:44.600 --> 0:29:47.360
<v Speaker 1>this particular talk, though, is that when she shows off

0:29:47.400 --> 0:29:49.600
<v Speaker 1>the jar, she doesn't go and pick it up from

0:29:49.600 --> 0:29:53.520
<v Speaker 1>a table or demonstration stand or something. She's just got

0:29:53.520 --> 0:29:55.960
<v Speaker 1>it tucked into the back of her belt like a gun.

0:29:57.040 --> 0:29:59.760
<v Speaker 1>She just pulls it out, and then when she's done

0:29:59.760 --> 0:30:02.200
<v Speaker 1>show in it off, she just slips it right back

0:30:02.240 --> 0:30:04.320
<v Speaker 1>in under the belt. I mean, I guess it must

0:30:04.320 --> 0:30:06.640
<v Speaker 1>have been there all day. Uh well, you know, one

0:30:06.640 --> 0:30:08.440
<v Speaker 1>of the things that she pointed out in the talk

0:30:08.520 --> 0:30:10.440
<v Speaker 1>is that some when she started doing these experiments, some

0:30:11.000 --> 0:30:13.360
<v Speaker 1>uh people objected. They were like, what are you doing

0:30:13.400 --> 0:30:16.680
<v Speaker 1>through these precious brains? As if she were wasting brains,

0:30:16.720 --> 0:30:19.800
<v Speaker 1>as if she were essentially the dan ackroid character from

0:30:19.800 --> 0:30:23.200
<v Speaker 1>it came from Hollywood, just you know, massacuring brain material.

0:30:23.600 --> 0:30:25.640
<v Speaker 1>But she pointed out that, you know, the aside from

0:30:25.680 --> 0:30:29.040
<v Speaker 1>it being highly useful, as they will explore the rest

0:30:29.040 --> 0:30:32.400
<v Speaker 1>of this episode, also they freeze it and so they

0:30:32.400 --> 0:30:34.000
<v Speaker 1>can save it for later. She says, she has a

0:30:34.000 --> 0:30:37.680
<v Speaker 1>whole database. The freezer is full of brain soup. I'm

0:30:37.720 --> 0:30:41.640
<v Speaker 1>sure all properly labeled and dated. Yes, So what they

0:30:41.640 --> 0:30:44.400
<v Speaker 1>did is yeah, they apply to fluorescent stain to differentiate

0:30:44.640 --> 0:30:48.480
<v Speaker 1>the neurons from other cells. And she started with rats

0:30:48.480 --> 0:30:51.880
<v Speaker 1>and other rodents, eventually working up to human brains, and

0:30:52.120 --> 0:30:57.440
<v Speaker 1>eventually she had a verified count not one billion neurons,

0:30:57.480 --> 0:31:01.400
<v Speaker 1>but eighties six billion neurons. Apparently this can be higher,

0:31:01.440 --> 0:31:03.400
<v Speaker 1>as high as they ninety one billion, for instance, but

0:31:03.440 --> 0:31:07.440
<v Speaker 1>eighty six billion is the like the ballpark count. That's uh, well,

0:31:07.480 --> 0:31:09.520
<v Speaker 1>that that doesn't seem too far off. I mean that

0:31:09.560 --> 0:31:13.680
<v Speaker 1>seems within a rough order of magnitude level of reasonableness.

0:31:13.880 --> 0:31:16.560
<v Speaker 1>Well it does, and it doesn't like you know, she

0:31:16.640 --> 0:31:18.600
<v Speaker 1>points out that this may not may not sound like

0:31:18.720 --> 0:31:20.480
<v Speaker 1>much of a difference to a lot of us. And

0:31:20.480 --> 0:31:22.080
<v Speaker 1>I have to admit, when I first heard it it,

0:31:22.160 --> 0:31:24.560
<v Speaker 1>I didn't really register that it was that much different

0:31:24.560 --> 0:31:27.800
<v Speaker 1>thundered billion versus six So it sounds like, all right, well,

0:31:28.000 --> 0:31:31.440
<v Speaker 1>we almost got it right. And uh, the thing is,

0:31:31.560 --> 0:31:35.440
<v Speaker 1>you know, she says that ten billion neurons is really

0:31:35.560 --> 0:31:38.680
<v Speaker 1>is not a small sum when it comes to neural change,

0:31:38.760 --> 0:31:42.200
<v Speaker 1>and when we're talking about the evolution of of of brains,

0:31:42.480 --> 0:31:45.600
<v Speaker 1>she says, the difference there is an entire baboon brain

0:31:45.720 --> 0:31:48.920
<v Speaker 1>and chain. So so yeah, that's a lot of neural

0:31:48.920 --> 0:31:51.840
<v Speaker 1>power we're talking about there, and to be off uh

0:31:52.240 --> 0:31:56.000
<v Speaker 1>on that can you know, can have consequences as well,

0:31:56.040 --> 0:31:58.760
<v Speaker 1>explore when we're talking about like what makes the human

0:31:58.800 --> 0:32:01.960
<v Speaker 1>brain seemingly special? Yeah, that that's interesting, I mean, and

0:32:02.000 --> 0:32:04.320
<v Speaker 1>that's where it ties into her larger theory about what

0:32:04.440 --> 0:32:08.280
<v Speaker 1>it is that's special about human brains. So obviously, neuro

0:32:08.280 --> 0:32:11.280
<v Speaker 1>anatomists and other scientists have long debated this question what

0:32:11.440 --> 0:32:14.600
<v Speaker 1>makes human brains unique? Why? Why are we the only

0:32:14.640 --> 0:32:19.080
<v Speaker 1>ones with computers? You know? Why don't rabbits have computers

0:32:19.120 --> 0:32:22.080
<v Speaker 1>and all that? Uh? And so what is the physical

0:32:22.120 --> 0:32:25.400
<v Speaker 1>property that gives the human brain its power? Is its size?

0:32:25.640 --> 0:32:28.400
<v Speaker 1>I mean, that clearly doesn't make any sense because sperm

0:32:28.440 --> 0:32:31.080
<v Speaker 1>whales have brains that there are something like, I think

0:32:31.080 --> 0:32:34.200
<v Speaker 1>at least six or seven times larger than human brains,

0:32:34.480 --> 0:32:37.800
<v Speaker 1>and yet they don't seem to be smarter than us. Likewise,

0:32:37.800 --> 0:32:40.200
<v Speaker 1>the elephant brain is much bigger and exactly, and we're

0:32:40.200 --> 0:32:43.800
<v Speaker 1>not discounting the intelligence of whales and elephants, but but

0:32:43.800 --> 0:32:47.640
<v Speaker 1>but clearly their their neural power is not on the

0:32:47.680 --> 0:32:50.520
<v Speaker 1>same scale as as human power, and we have to

0:32:50.520 --> 0:32:53.080
<v Speaker 1>ask the question why, right, So we're able to do

0:32:53.160 --> 0:32:55.640
<v Speaker 1>things that they're not able to do. And is that

0:32:55.760 --> 0:32:58.760
<v Speaker 1>difference related to sheer size of the brain? Clearly not

0:32:59.360 --> 0:33:01.720
<v Speaker 1>could it be? And another thing that's often put forward

0:33:01.800 --> 0:33:05.640
<v Speaker 1>is the ratio of brain size to body size, right. Uh,

0:33:05.680 --> 0:33:09.640
<v Speaker 1>the encephialization quotation that actually doesn't seem to quite cover

0:33:09.720 --> 0:33:12.000
<v Speaker 1>it either. Right. So one of the things you pointed

0:33:12.040 --> 0:33:14.800
<v Speaker 1>out here is that we'll just consider a couple of

0:33:14.880 --> 0:33:19.360
<v Speaker 1>these neuron counts again, humans eighty six billion neurons. Uh.

0:33:19.400 --> 0:33:21.880
<v Speaker 1>And then we have something like like a rat two

0:33:21.920 --> 0:33:25.840
<v Speaker 1>hundred million neurons uh. And a goody which is a

0:33:25.840 --> 0:33:29.320
<v Speaker 1>South American like rather plump kind of critter, but it

0:33:29.440 --> 0:33:33.040
<v Speaker 1>is a rodent eight hundred fifty seven million neurons. Al

0:33:33.120 --> 0:33:36.960
<v Speaker 1>Monkeys have a one thousand, four hundred sixty eight million neurons,

0:33:36.960 --> 0:33:40.120
<v Speaker 1>while a cappy bara again a rodent one thousand, six

0:33:40.200 --> 0:33:43.480
<v Speaker 1>hundred million neurons. Okay, so they're up into the billion range,

0:33:43.520 --> 0:33:47.920
<v Speaker 1>but the difference here is still orders of magnitude of difference, right.

0:33:48.000 --> 0:33:50.760
<v Speaker 1>And and her argument is like when you compare like

0:33:50.760 --> 0:33:55.680
<v Speaker 1>like sized rodents and primates the primate brains, uh, you know,

0:33:55.760 --> 0:33:58.480
<v Speaker 1>maybe the same size, but there are more neurons in

0:33:58.520 --> 0:34:01.480
<v Speaker 1>the more advanced primate brains. Right, So what seems to

0:34:01.480 --> 0:34:03.640
<v Speaker 1>be going on here is that it's not so much

0:34:03.720 --> 0:34:06.880
<v Speaker 1>that there's something really special about human brains, but there's

0:34:06.880 --> 0:34:11.680
<v Speaker 1>something special about primate brains. Primate, the brains of monkeys

0:34:11.760 --> 0:34:15.080
<v Speaker 1>and apes, you know, the primate creatures like us, that

0:34:15.200 --> 0:34:20.239
<v Speaker 1>they have these densely packed, neuron heavy cortex cortices. Yeah,

0:34:20.280 --> 0:34:22.239
<v Speaker 1>and then it comes down to concentration of neurons. And

0:34:22.280 --> 0:34:25.040
<v Speaker 1>by the way, she also has found that birds have

0:34:25.200 --> 0:34:28.600
<v Speaker 1>primate like concentrations in the forebrain, which lines up with

0:34:28.640 --> 0:34:32.319
<v Speaker 1>the with their intelligence despite much smaller brains than other

0:34:32.360 --> 0:34:35.520
<v Speaker 1>intelligent animals. Yeah, we mentioned this before, but this really

0:34:35.520 --> 0:34:39.960
<v Speaker 1>comes through in the sometimes startling intelligence of birds like

0:34:40.000 --> 0:34:42.600
<v Speaker 1>Corvid's and parrots. Yeah. You look at a parrot, like,

0:34:42.600 --> 0:34:44.360
<v Speaker 1>how big is it's brain? Right, It's like, you know,

0:34:44.719 --> 0:34:48.000
<v Speaker 1>you you snack on nuts larger than this creature's brain,

0:34:48.080 --> 0:34:52.160
<v Speaker 1>and yet it has this startling intelligence about the efficiently

0:34:52.239 --> 0:34:57.080
<v Speaker 1>packed to the neuron crammed forebrain, sort of like a primate. Yeah. Yeah. Meanwhile,

0:34:57.160 --> 0:34:59.839
<v Speaker 1>whale brain, you could climb inside of it, and it's

0:35:00.560 --> 0:35:03.120
<v Speaker 1>and and it's it's it's not quite there. All right.

0:35:03.160 --> 0:35:04.640
<v Speaker 1>On that note, we're gonna take a quick break, and

0:35:04.640 --> 0:35:07.239
<v Speaker 1>when we come back, we're gonna explore more of Susanna

0:35:07.600 --> 0:35:11.719
<v Speaker 1>or Colono Ozell's ideas about the human brain, how it

0:35:11.719 --> 0:35:15.920
<v Speaker 1>has evolved and whine has so many neurons. Thank you,

0:35:16.120 --> 0:35:20.680
<v Speaker 1>thank you. All Right, we're back, so more about brains, alright.

0:35:20.719 --> 0:35:25.920
<v Speaker 1>So one of the big take aways from Susanna Orcolano

0:35:26.000 --> 0:35:28.880
<v Speaker 1>Ozell's work is that, of course, a big brain doesn't

0:35:28.880 --> 0:35:32.720
<v Speaker 1>necessarily mean high levels of cognition. Again, it's more about

0:35:32.920 --> 0:35:35.480
<v Speaker 1>the neuron concentration. Yeah, this is what we were just

0:35:35.480 --> 0:35:38.320
<v Speaker 1>talking about with the fact that obviously, you know, like whales, elephants,

0:35:38.320 --> 0:35:40.800
<v Speaker 1>all these have much bigger brains than us. But there's

0:35:40.800 --> 0:35:43.040
<v Speaker 1>a lot that our brains seem able to do that

0:35:43.120 --> 0:35:46.399
<v Speaker 1>those brains can't. So it's not just size. There does

0:35:46.400 --> 0:35:50.400
<v Speaker 1>seem to be something special about the way that primate

0:35:50.600 --> 0:35:55.040
<v Speaker 1>brains are organized. And that's the thing, primate brains, not

0:35:55.040 --> 0:35:59.320
<v Speaker 1>not just human brains, because that's something that Arcolano Ozel

0:35:59.640 --> 0:36:03.399
<v Speaker 1>really drives home, is that the human brain is just

0:36:03.560 --> 0:36:07.040
<v Speaker 1>a scaled up primate brain. There's nothing special about the

0:36:07.120 --> 0:36:11.600
<v Speaker 1>human brain beyond that, nothing God touched or anything of

0:36:11.640 --> 0:36:13.920
<v Speaker 1>the sort. She says that this is very much in

0:36:14.000 --> 0:36:17.400
<v Speaker 1>line with what Darwin thought and was criticized for. Darwin

0:36:17.480 --> 0:36:21.040
<v Speaker 1>thought the human brain was just another primate brain, but

0:36:21.080 --> 0:36:23.080
<v Speaker 1>those who came after him, they often took their evolution

0:36:23.080 --> 0:36:26.880
<v Speaker 1>with a hefty dose of human exceptionalism. Wanting to think

0:36:26.920 --> 0:36:29.600
<v Speaker 1>about us is a special case that the rules of

0:36:29.640 --> 0:36:32.399
<v Speaker 1>life don't apply to like they apply to every other

0:36:32.440 --> 0:36:36.600
<v Speaker 1>animal on Earth. Right and likewise, um l Ozell says

0:36:36.600 --> 0:36:38.719
<v Speaker 1>that she faced resistance to her results due to the

0:36:38.760 --> 0:36:40.959
<v Speaker 1>fact that they didn't support this view of human brain

0:36:41.040 --> 0:36:45.000
<v Speaker 1>exceptionalism versus the brains of other primates. Again, it's just

0:36:45.080 --> 0:36:47.920
<v Speaker 1>a scaled up a scaled up primate brain, right, So

0:36:48.000 --> 0:36:51.840
<v Speaker 1>her idea, what she argues, is that what the human

0:36:51.880 --> 0:36:55.280
<v Speaker 1>brain is. You start with a primate brain, which primate brains,

0:36:55.320 --> 0:36:58.719
<v Speaker 1>like brains of monkeys and apes in general, are more

0:36:58.800 --> 0:37:01.440
<v Speaker 1>crammed with neurons other types of brains in the animal

0:37:01.520 --> 0:37:04.000
<v Speaker 1>kingdom usually, and then you look at all the primates

0:37:04.040 --> 0:37:07.520
<v Speaker 1>and humans have by far the biggest primate brain. And

0:37:07.560 --> 0:37:10.760
<v Speaker 1>then because it's the biggest version of this densely packed

0:37:11.280 --> 0:37:16.040
<v Speaker 1>primate neuron housing center, we are the smartest. That's essentially

0:37:16.040 --> 0:37:18.600
<v Speaker 1>what makes us the smartest. And we'll get into why

0:37:18.640 --> 0:37:21.480
<v Speaker 1>this seems to be the case and why um the

0:37:21.480 --> 0:37:25.440
<v Speaker 1>the argument that Susanna rocol Hosel makes for it as well. Uh,

0:37:25.480 --> 0:37:26.960
<v Speaker 1>but before we do that, I want to I want

0:37:27.000 --> 0:37:28.960
<v Speaker 1>to touch base in another area that she lines up

0:37:28.960 --> 0:37:31.400
<v Speaker 1>with all of this, and that is the subject of

0:37:31.440 --> 0:37:36.680
<v Speaker 1>longevity in warm blooded vertebrates anyway, UM, because it seems

0:37:36.880 --> 0:37:39.600
<v Speaker 1>to be the case that neurons are more important than

0:37:39.640 --> 0:37:43.400
<v Speaker 1>body size here as well. So in two thousand eighteen

0:37:43.440 --> 0:37:48.120
<v Speaker 1>research that was published in the Journal of Comparative Neurology, UM,

0:37:48.200 --> 0:37:52.000
<v Speaker 1>Rocolino Ozel and co authors found that in primates, birds,

0:37:52.000 --> 0:37:54.799
<v Speaker 1>and other warm blooded creatures, the number of neurons that

0:37:54.880 --> 0:37:57.239
<v Speaker 1>you have in the core in the cortex of a

0:37:57.320 --> 0:38:01.360
<v Speaker 1>species predicts about seventy five sent of all the variation

0:38:01.760 --> 0:38:05.920
<v Speaker 1>in the longevity across species. Body size and metabolism the

0:38:06.000 --> 0:38:08.000
<v Speaker 1>usual standard because usually that's what we think of, right,

0:38:08.040 --> 0:38:10.799
<v Speaker 1>an elephant lives a while, it's big, whales of a

0:38:10.800 --> 0:38:13.960
<v Speaker 1>while big, right, She says that this only predicts around

0:38:13.960 --> 0:38:20.000
<v Speaker 1>twenty of of of the cases of longevity. And here's

0:38:20.000 --> 0:38:23.880
<v Speaker 1>another slice of human non exceptionalism. If you do the math.

0:38:24.160 --> 0:38:26.680
<v Speaker 1>She says, this means that humans live about as long

0:38:26.719 --> 0:38:31.160
<v Speaker 1>as you expect based on their neuron load. In this

0:38:31.200 --> 0:38:34.240
<v Speaker 1>particular brain soup study examined more than seven hundred warm

0:38:34.280 --> 0:38:36.960
<v Speaker 1>blooded animal species. I want to see a list of

0:38:37.000 --> 0:38:41.799
<v Speaker 1>those soups flavors. Yes, the super menu is. It's quite

0:38:41.800 --> 0:38:45.000
<v Speaker 1>extensive at her lap. Now, why is there a connection

0:38:45.040 --> 0:38:48.320
<v Speaker 1>between neurons and the cerebral cortex and longevity. Well, she

0:38:48.360 --> 0:38:50.319
<v Speaker 1>says more work is required to figure this out, but

0:38:50.320 --> 0:38:52.239
<v Speaker 1>she does have some ideas. And here's what she said

0:38:52.239 --> 0:38:55.560
<v Speaker 1>in a press release on the paper from quote. The

0:38:55.640 --> 0:38:59.520
<v Speaker 1>data suggests the warm blooded species accumulate damages at the

0:38:59.560 --> 0:39:02.480
<v Speaker 1>same eight as they age. But what curtails life are

0:39:02.560 --> 0:39:05.720
<v Speaker 1>damages to the cerebral cortex, not the rest of the body.

0:39:05.960 --> 0:39:08.239
<v Speaker 1>The more cortical neurons you have, the longer you will

0:39:08.239 --> 0:39:11.000
<v Speaker 1>still have enough to keep your body functional. The cortex

0:39:11.120 --> 0:39:12.960
<v Speaker 1>is the part of your brain that is capable of

0:39:12.960 --> 0:39:16.640
<v Speaker 1>making our behavior complex and flexible. Yes, but that extends

0:39:16.640 --> 0:39:20.120
<v Speaker 1>well beyond cognition and doing mental math and logic reasoning.

0:39:20.440 --> 0:39:23.840
<v Speaker 1>The cerebrial cortex also gives your body adaptability as it

0:39:23.880 --> 0:39:27.120
<v Speaker 1>adjusts and learns how to react to stresses and predicts them.

0:39:27.280 --> 0:39:30.920
<v Speaker 1>That includes keeping your physiological functions running smoothly and making

0:39:30.960 --> 0:39:34.200
<v Speaker 1>sure your heart rate, your respiratory rate, and your metabolism

0:39:34.239 --> 0:39:38.080
<v Speaker 1>are on track with what you're doing and how you feel, uh,

0:39:38.120 --> 0:39:40.640
<v Speaker 1>and with what you expect to happen next. And that

0:39:40.719 --> 0:39:45.400
<v Speaker 1>apparently is a key factor that impacts longevity. Fascinating. Yeah,

0:39:45.480 --> 0:39:48.600
<v Speaker 1>so I love how already just this this concept of

0:39:48.600 --> 0:39:50.759
<v Speaker 1>of brain, not this concept of brain soup, but this

0:39:50.840 --> 0:39:54.640
<v Speaker 1>tool of making brain soup. It already you know, is

0:39:54.680 --> 0:39:57.640
<v Speaker 1>turning certain things that uh, we used to think we

0:39:57.719 --> 0:40:00.640
<v Speaker 1>knew about brains and the human rain and how it's

0:40:00.640 --> 0:40:03.879
<v Speaker 1>different from other animals and indeed how how other animals think,

0:40:04.160 --> 0:40:06.000
<v Speaker 1>turning all of that on its head and change us

0:40:06.080 --> 0:40:08.520
<v Speaker 1>another way of thinking about it. Yeah. So one thing

0:40:08.640 --> 0:40:13.080
<v Speaker 1>that this would, obviously, I think have somebody wondering about, is, Okay,

0:40:13.320 --> 0:40:17.560
<v Speaker 1>if if humans are the upper end of the primate brain,

0:40:17.680 --> 0:40:19.879
<v Speaker 1>you know, with your neuronal loads, you've got a lot

0:40:19.920 --> 0:40:22.160
<v Speaker 1>of neurons in the human human brain, how did we

0:40:22.200 --> 0:40:25.040
<v Speaker 1>get that way? Does it happen? Because again, we can't

0:40:25.040 --> 0:40:28.760
<v Speaker 1>go with any mythic interpretation here, whether there's no ancient

0:40:28.760 --> 0:40:33.319
<v Speaker 1>alien or gods scenario where where this particular primate was

0:40:33.719 --> 0:40:36.440
<v Speaker 1>was touched and made special. No, we need to look

0:40:36.480 --> 0:40:40.360
<v Speaker 1>to something in the natural world, something that that that

0:40:40.480 --> 0:40:45.160
<v Speaker 1>explains this, like rapid growth of the brain and uh Erculano.

0:40:45.280 --> 0:40:49.960
<v Speaker 1>Uzel's hypothesis has to do with straightforward energy economy, the

0:40:50.120 --> 0:40:53.960
<v Speaker 1>energy that different species are able to take into their bodies. Right.

0:40:54.000 --> 0:40:55.680
<v Speaker 1>She says that she thinks it all comes down to

0:40:55.760 --> 0:41:00.680
<v Speaker 1>the calories a mass via a very early technological development

0:41:00.840 --> 0:41:04.040
<v Speaker 1>that our ancestors made, that being cooking. Now, this is

0:41:04.080 --> 0:41:07.040
<v Speaker 1>an interesting hypothesis. I like this. Yeah, we know, we've

0:41:07.080 --> 0:41:11.000
<v Speaker 1>discussed the essential role that cooking played in human advancement before,

0:41:11.360 --> 0:41:16.000
<v Speaker 1>how it externalized. Digestion allowed you to uh sort of

0:41:16.520 --> 0:41:18.399
<v Speaker 1>to you know, heat up this pod or not even

0:41:18.400 --> 0:41:20.800
<v Speaker 1>necessarily a pod, just you know, a pit with fire

0:41:21.200 --> 0:41:27.640
<v Speaker 1>even and partially digest various organic matter before you give

0:41:27.719 --> 0:41:31.040
<v Speaker 1>your own digestions a digestive system a shot at it.

0:41:31.600 --> 0:41:34.239
<v Speaker 1>This makes it easier to digest. You know a lot

0:41:34.280 --> 0:41:39.000
<v Speaker 1>of foods that would be impossible or difficult to consume otherwise,

0:41:39.320 --> 0:41:42.560
<v Speaker 1>either because of their chemical components, or maybe they're just

0:41:42.680 --> 0:41:45.719
<v Speaker 1>tough they're hard to chew, or or or they can't

0:41:45.719 --> 0:41:47.840
<v Speaker 1>be chewed, and cooking can make them softer, and of

0:41:47.880 --> 0:41:51.560
<v Speaker 1>course just speed up overall digestion. Yeah, it just gives

0:41:51.600 --> 0:41:54.800
<v Speaker 1>your digestive system much more access to the nutrients inside

0:41:54.840 --> 0:41:58.399
<v Speaker 1>through a variety of means. Yeah. Because and this ties

0:41:58.440 --> 0:42:02.799
<v Speaker 1>into neurons, because neurons require energy, a lot of energy actually, Yeah.

0:42:02.800 --> 0:42:05.120
<v Speaker 1>And the more neurons you have, and the more energy

0:42:05.280 --> 0:42:09.719
<v Speaker 1>you require to charge them up. Like your brain consumes

0:42:09.920 --> 0:42:13.000
<v Speaker 1>energy at a rate that is not proportional to its

0:42:13.040 --> 0:42:15.359
<v Speaker 1>size relative to the rest of your body. It is

0:42:15.440 --> 0:42:19.080
<v Speaker 1>the the great energy hog of your body. Yeah, we're talking.

0:42:19.480 --> 0:42:23.960
<v Speaker 1>Neurons require six kilo calories per billion neurons per day,

0:42:24.080 --> 0:42:28.360
<v Speaker 1>so um urkilno Ozell points out that the human brain

0:42:28.520 --> 0:42:33.160
<v Speaker 1>costs on average five kilo calories per day, so, in

0:42:33.200 --> 0:42:37.440
<v Speaker 1>her words, not quite a whole hamburger. But but I mean,

0:42:37.640 --> 0:42:39.799
<v Speaker 1>when you think about that in terms of food, the

0:42:39.840 --> 0:42:43.320
<v Speaker 1>types of calories you can acquire in the wild, without grains,

0:42:43.360 --> 0:42:46.720
<v Speaker 1>without access to easy meat and all that, that that's

0:42:47.600 --> 0:42:49.799
<v Speaker 1>that's a tough requirement. Yeah, let's take a moment to

0:42:49.880 --> 0:42:54.640
<v Speaker 1>just realize how how, how how amazing the hamburger is.

0:42:55.000 --> 0:42:56.919
<v Speaker 1>I mean, and just in terms of like how much

0:42:57.400 --> 0:43:01.120
<v Speaker 1>uh you know, protein and potential new atrition is just

0:43:01.239 --> 0:43:03.400
<v Speaker 1>jammed into that thing. There's a lot of energy in

0:43:03.400 --> 0:43:06.120
<v Speaker 1>the hamburger, like it or not. And we, you know,

0:43:06.320 --> 0:43:08.719
<v Speaker 1>we take for granted, you know what a robust chunk

0:43:08.760 --> 0:43:10.920
<v Speaker 1>of energy that is. And if we had and if

0:43:10.960 --> 0:43:12.839
<v Speaker 1>we had we didn't have the hamburger and of course

0:43:12.880 --> 0:43:14.880
<v Speaker 1>all the things that are comparable to the hamburger and

0:43:15.239 --> 0:43:18.720
<v Speaker 1>modern culinary tradition, and if we didn't have that to

0:43:18.719 --> 0:43:20.880
<v Speaker 1>to eat, if we had to eat like our primate

0:43:20.880 --> 0:43:25.960
<v Speaker 1>brethren did and still do without cooking and modern food. Uh.

0:43:26.120 --> 0:43:28.360
<v Speaker 1>She points out that we'd have to spend nine point

0:43:28.440 --> 0:43:31.480
<v Speaker 1>five hours every day eating so instead of so you're

0:43:31.480 --> 0:43:34.160
<v Speaker 1>just eating like raw vegetable matter most all that you

0:43:34.719 --> 0:43:36.840
<v Speaker 1>like a lot of animals do in the world. If you,

0:43:37.040 --> 0:43:39.560
<v Speaker 1>if you like, like we do, watch a lot of documentaries,

0:43:39.760 --> 0:43:43.520
<v Speaker 1>you'll frequently encounter, uh, you know, some an animal or

0:43:43.520 --> 0:43:46.279
<v Speaker 1>another of panda and you're like, oh, all it does

0:43:46.360 --> 0:43:48.640
<v Speaker 1>is eat because it has to. It has to eat

0:43:48.719 --> 0:43:52.400
<v Speaker 1>all the time, you know, to maintain um uh, this

0:43:52.400 --> 0:43:54.799
<v Speaker 1>this body and ultimately it's brain as well. But of

0:43:54.840 --> 0:43:58.960
<v Speaker 1>course our brain again has tremendous energy requirements. It only

0:43:59.000 --> 0:44:01.200
<v Speaker 1>makes up two percent of our body, but it requires

0:44:01.239 --> 0:44:04.680
<v Speaker 1>twenty five of the body's energy, so that five calorie

0:44:04.719 --> 0:44:06.920
<v Speaker 1>burger is just part of a two thousand calorie per

0:44:07.000 --> 0:44:12.560
<v Speaker 1>day diet. So Kolona Ozel contends that without cooking, we'd

0:44:12.560 --> 0:44:15.560
<v Speaker 1>be in the same state we'd evolved to one point

0:44:15.560 --> 0:44:19.360
<v Speaker 1>five million years ago. We'd be small primates with essentially

0:44:19.400 --> 0:44:22.040
<v Speaker 1>the brain power of a modern guerrilla, but with some

0:44:22.120 --> 0:44:25.719
<v Speaker 1>stone tool making abilities. This is kind of encouraging as

0:44:25.760 --> 0:44:29.000
<v Speaker 1>a as a hypothesis for people who love cooking kitchen

0:44:29.200 --> 0:44:33.680
<v Speaker 1>culinary enthusiasts, You you may well be taking part in

0:44:33.920 --> 0:44:37.600
<v Speaker 1>the most crucially human of all activities. Yeah, and I

0:44:37.600 --> 0:44:41.000
<v Speaker 1>believe Michael Pollen has made a very very similar argument

0:44:41.040 --> 0:44:43.319
<v Speaker 1>before in terms of like why we we we love

0:44:43.400 --> 0:44:45.800
<v Speaker 1>cooking and why even if we don't cook, we're drawn

0:44:45.880 --> 0:44:49.200
<v Speaker 1>to the myriad cooking shows that are out there. You know,

0:44:49.239 --> 0:44:51.120
<v Speaker 1>we want to watch somebody cook, we want to learn

0:44:51.320 --> 0:44:54.920
<v Speaker 1>about about different culinaries, traditions, and even for my own part,

0:44:54.960 --> 0:44:57.359
<v Speaker 1>I've never been much of a chef. I am not

0:44:57.600 --> 0:45:00.840
<v Speaker 1>much of a chef either, but I've been enjoying some

0:45:00.920 --> 0:45:04.439
<v Speaker 1>of these various like meal box things recently, and it's

0:45:04.600 --> 0:45:08.360
<v Speaker 1>teaching me some of the basics of cooking. And you know,

0:45:08.400 --> 0:45:12.360
<v Speaker 1>I'll still curse at a tomato, but there's something fulfilling

0:45:12.360 --> 0:45:15.200
<v Speaker 1>about going through all the instructions and and turning this

0:45:15.719 --> 0:45:21.040
<v Speaker 1>sack of raw materials into a delicious meal. Well, uh,

0:45:21.200 --> 0:45:26.160
<v Speaker 1>tomatoes are tricky devils that can be seriously, I they're

0:45:26.239 --> 0:45:28.920
<v Speaker 1>They're at both ends of my you know, food love

0:45:28.960 --> 0:45:32.200
<v Speaker 1>and hate spectrum. Basically, my favorite food in the entire

0:45:32.280 --> 0:45:36.759
<v Speaker 1>world is a really good ripe summer tomato, and my

0:45:37.000 --> 0:45:39.640
<v Speaker 1>least favorite food in the entire world is like a

0:45:39.760 --> 0:45:43.520
<v Speaker 1>mealy white winter tomato. It's the worst thing on earth. Yeah,

0:45:43.560 --> 0:45:45.400
<v Speaker 1>it's there's It's kind of I feel a similar way

0:45:45.400 --> 0:45:48.280
<v Speaker 1>with cantalope, Like there are a lot of mediocre cantlelopes

0:45:48.320 --> 0:45:51.000
<v Speaker 1>out there, and if you have one, you could easily

0:45:51.040 --> 0:45:53.160
<v Speaker 1>turn your back on cantal loops forever. But when you

0:45:53.239 --> 0:45:56.719
<v Speaker 1>have like a really good cantlelope, there's nothing else that

0:45:56.800 --> 0:45:58.600
<v Speaker 1>can beat it. Well, it's funny we talked about these

0:45:58.600 --> 0:46:04.040
<v Speaker 1>extremes with agriculturally produced fruits and vegetables. Arklanzel points out

0:46:04.040 --> 0:46:06.520
<v Speaker 1>in Somewhere I was reading or one of her talks

0:46:06.560 --> 0:46:08.360
<v Speaker 1>I think where she says, you know, it's kind of

0:46:08.360 --> 0:46:11.240
<v Speaker 1>funny that the inherent logic of of what she's showing

0:46:11.280 --> 0:46:15.520
<v Speaker 1>here is even there in some of the diet trends,

0:46:15.560 --> 0:46:17.480
<v Speaker 1>where like what do people do when they want to

0:46:17.520 --> 0:46:20.400
<v Speaker 1>lose weight? Well, one popular thing is the raw food diet,

0:46:20.440 --> 0:46:23.920
<v Speaker 1>because suddenly you're condemning yourself to a forging type existence

0:46:23.960 --> 0:46:28.279
<v Speaker 1>without you know, without the calorie benefits of cooked food. Yeah, exactly,

0:46:29.400 --> 0:46:32.480
<v Speaker 1>but but cook But cooking food is something we did

0:46:32.520 --> 0:46:35.120
<v Speaker 1>develop again, and that was roughly one point five million

0:46:35.160 --> 0:46:38.719
<v Speaker 1>years ago. Um, and this is the key technology, she says.

0:46:38.760 --> 0:46:42.439
<v Speaker 1>It changed what was possible energy wise for the evolving brain.

0:46:42.520 --> 0:46:45.520
<v Speaker 1>Our brains got big in a hurry after this, and

0:46:45.560 --> 0:46:48.560
<v Speaker 1>our food technology, of course, continued to evolve, most notably

0:46:48.640 --> 0:46:53.040
<v Speaker 1>via the agricultural revolution. Definitely. I mean that the history

0:46:53.120 --> 0:46:56.200
<v Speaker 1>of of of human civilization is the history of our

0:46:57.000 --> 0:47:00.120
<v Speaker 1>manipulation of food really and our stockpiling of food it

0:47:00.160 --> 0:47:02.520
<v Speaker 1>and then our trade of food in our wars for food.

0:47:02.800 --> 0:47:07.719
<v Speaker 1>So we are using research that makes use of the

0:47:07.760 --> 0:47:13.320
<v Speaker 1>brain soup technique to discover the possibility to discover how

0:47:13.360 --> 0:47:17.640
<v Speaker 1>important the invention of literal soup might have been. Yeah,

0:47:17.680 --> 0:47:21.080
<v Speaker 1>I love the cyclical nature of this particular episode. We

0:47:21.160 --> 0:47:24.000
<v Speaker 1>started with with the brain soup, and we came back

0:47:24.040 --> 0:47:29.560
<v Speaker 1>to brain soup. It's glorious, Okay. Introducing a new show segment,

0:47:29.760 --> 0:47:34.520
<v Speaker 1>Soup Facts, Facts Facts, with Joe McCornick. Here's something. If

0:47:34.560 --> 0:47:37.080
<v Speaker 1>you're ever trying to figure out how much to season

0:47:37.200 --> 0:47:38.960
<v Speaker 1>your soup. You know you don't want it to be

0:47:38.960 --> 0:47:41.360
<v Speaker 1>too salty, of course, but you also don't want to

0:47:41.440 --> 0:47:43.560
<v Speaker 1>underseason and how much salt should go in a soup.

0:47:43.840 --> 0:47:46.520
<v Speaker 1>The best way to figure that out is to get

0:47:46.560 --> 0:47:49.719
<v Speaker 1>the soup to the temperature that you plan to serve

0:47:49.760 --> 0:47:52.520
<v Speaker 1>it at, and then taste and see how much salt

0:47:52.520 --> 0:47:54.640
<v Speaker 1>it needs there. Because the amount of salt that we

0:47:54.680 --> 0:47:58.279
<v Speaker 1>can taste when we taste something for seasoning varies drastically

0:47:58.400 --> 0:48:01.200
<v Speaker 1>depending on what temperature the food it is at. So

0:48:01.400 --> 0:48:04.000
<v Speaker 1>you might you might taste it and it tastes like

0:48:04.040 --> 0:48:06.920
<v Speaker 1>it needs more salt, or it already has enough salt

0:48:07.120 --> 0:48:09.440
<v Speaker 1>at one temperature, but in a different temperature it might

0:48:09.440 --> 0:48:12.840
<v Speaker 1>taste totally different. Interesting. I hadn't thought about that. I

0:48:12.840 --> 0:48:15.440
<v Speaker 1>will use that the next time I'm I'm I'm following

0:48:15.440 --> 0:48:18.200
<v Speaker 1>instructions from a box and have to make soup all right.

0:48:19.680 --> 0:48:22.720
<v Speaker 1>Another place I always mess up with salt is with pasta.

0:48:23.120 --> 0:48:26.919
<v Speaker 1>If I'm boiling pasta, like I keep putting into little soup,

0:48:26.960 --> 0:48:30.200
<v Speaker 1>like I'm so afraid of oversalting something, well, then I'm

0:48:30.239 --> 0:48:32.600
<v Speaker 1>I'm and then my my wife will come in and say, oh,

0:48:32.640 --> 0:48:34.360
<v Speaker 1>then you're supposed to be throwing like a whole fistful

0:48:34.360 --> 0:48:36.960
<v Speaker 1>assault from there. Basically, it's a reasonable concern. I mean,

0:48:37.480 --> 0:48:39.920
<v Speaker 1>you can if you under salt something, you can always

0:48:39.960 --> 0:48:42.759
<v Speaker 1>add more. But if you over salt you can't take

0:48:42.760 --> 0:48:44.799
<v Speaker 1>it out right. Well, you know, I think back to

0:48:44.880 --> 0:48:46.960
<v Speaker 1>the cocktail scenario, like if I mix up, if I

0:48:46.960 --> 0:48:49.000
<v Speaker 1>mess up a cocktail to the point where I can't

0:48:49.040 --> 0:48:53.200
<v Speaker 1>fix it, um, then I've wasted like two drinks, you know.

0:48:53.560 --> 0:48:56.040
<v Speaker 1>But if I do that with a super stew and

0:48:56.080 --> 0:48:58.439
<v Speaker 1>I've ruined dinner, like I have to then go and

0:48:58.480 --> 0:49:00.400
<v Speaker 1>get a pizza or something, and I've way did all

0:49:00.400 --> 0:49:03.040
<v Speaker 1>of these resources. And you know, the most heartbreaking thing

0:49:03.040 --> 0:49:05.600
<v Speaker 1>you can do is have to potentially throw food away.

0:49:05.719 --> 0:49:08.440
<v Speaker 1>And I have I have got I have over salted

0:49:08.520 --> 0:49:11.040
<v Speaker 1>things in the past to that point, you know, where

0:49:11.040 --> 0:49:14.000
<v Speaker 1>it's just basically inedible. There was some recipe where I

0:49:14.040 --> 0:49:16.160
<v Speaker 1>had to. And this was like a box meal years

0:49:16.160 --> 0:49:18.520
<v Speaker 1>ago when I was first figuring it out, and I

0:49:18.560 --> 0:49:20.240
<v Speaker 1>had like a thing of salt and a thing of sugar,

0:49:20.280 --> 0:49:22.560
<v Speaker 1>and the sugar went into one component salting the other.

0:49:23.239 --> 0:49:26.359
<v Speaker 1>I flipped them, which made like a pretty sweet cole

0:49:26.440 --> 0:49:28.799
<v Speaker 1>slab that also just did whatever the other thing was

0:49:28.800 --> 0:49:33.880
<v Speaker 1>was just inedible. That's a sad story, all right, So

0:49:33.920 --> 0:49:37.719
<v Speaker 1>I guess we're gonna leave it there. Uh again Susannah

0:49:37.800 --> 0:49:42.279
<v Speaker 1>Roclinol wonderful science communicator. UH look her up. She's all

0:49:42.320 --> 0:49:45.440
<v Speaker 1>over the internet. You can find her ted talk readily easily,

0:49:45.840 --> 0:49:48.160
<v Speaker 1>and they're also various interviews with her. And then of

0:49:48.200 --> 0:49:51.200
<v Speaker 1>course the scientific papers are out there to look at

0:49:51.280 --> 0:49:55.000
<v Speaker 1>as well. Uh. So also thanks to the World Science

0:49:55.040 --> 0:49:58.080
<v Speaker 1>Festival UM for letting me attend and uh and you know,

0:49:58.160 --> 0:50:00.680
<v Speaker 1>taking in all this data. Look up the World Science

0:50:00.719 --> 0:50:04.080
<v Speaker 1>Festival as well. Uh. They have a wonderful YouTube page.

0:50:04.239 --> 0:50:06.680
<v Speaker 1>They'll put a lot of these talks up um, you know,

0:50:06.960 --> 0:50:10.600
<v Speaker 1>over the course of the weeks and months ahead moving

0:50:10.600 --> 0:50:12.640
<v Speaker 1>into next year. And in the meantime, if you want

0:50:12.640 --> 0:50:14.640
<v Speaker 1>to check out more episodes of Stuff to Blow your mind,

0:50:14.640 --> 0:50:16.239
<v Speaker 1>head on over to Stuff to Blow your mind dot com.

0:50:16.239 --> 0:50:17.879
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0:50:18.120 --> 0:50:20.319
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0:50:41.560 --> 0:50:43.120
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0:50:43.120 --> 0:50:45.680
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