WEBVTT - From the Vault: Brain Soup and Liquid Brains

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<v Speaker 1>Hey, Welcome to Stuff to Blow your Mind. My name

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<v Speaker 1>is Robert Lamb and I'm Joe McCormick, and it's Saturday.

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<v Speaker 1>Time to go into the vault. This episode originally aired

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<v Speaker 1>on June eleventh, nineteen, and it was called Brain Soup

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<v Speaker 1>and Liquid Brains. Uh. I don't know what to say

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<v Speaker 1>about it beyond that it's about liquid brains. Huh. Yeah, yeah,

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<v Speaker 1>I mean it's it's there is kind of this um,

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<v Speaker 1>you know, yucky horror vibe to our sort of selling

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<v Speaker 1>of the concepts certainly, but it really gets into like

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<v Speaker 1>what we can figure out via the liquefocation of brains

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<v Speaker 1>um regarding like the nature of intelligence in an organic brain.

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<v Speaker 1>This one was one that I was inspired to pick

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<v Speaker 1>up after the twenty nineteen World Science Festival in New York.

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<v Speaker 1>So yeah, so yeah, it's a pretty good one. Let's

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<v Speaker 1>jump right in. Welcome to Stuff to Blow Your Mind,

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<v Speaker 1>a production of I Heart Radios has to ports. Hey,

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<v Speaker 1>Welcome to Stuff to Blow your Mind. My name is

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<v Speaker 1>Robert Lamb and I'm Joe McCormick. Joe, what what kind

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<v Speaker 1>of image enters your head when I say the words

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<v Speaker 1>brain soup? Brain soup? That's a Green Day song. Isn't it?

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<v Speaker 1>Is it? I'm having trouble making soup. I don't know.

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<v Speaker 1>I'm not I'm not I'm not not dukie, right, I

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<v Speaker 1>only know like green Green Day songs. I think I'm

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<v Speaker 1>getting this wrong. H 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>WICKI entrees 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 Wrigley's. So it 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 to utilize in that scene

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<v Speaker 1>and say, we'll hold on. Actually, here are some actual

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<v Speaker 1>culinary traditions that are not really that shocking. Uh no,

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<v Speaker 1>it's not at all that informative mind opening. Just let

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<v Speaker 1>me allow me to quote directly from the page for

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<v Speaker 1>coiled Wriggles. Coiled Wriggles, also known as snakes Surprise, was

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<v Speaker 1>a dish served at the Guardian of Tradition dinner given

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<v Speaker 1>at Pancock Palace in n 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 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 the consumption of of brain based

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<v Speaker 1>soups before I bring up, uh 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 film. It came from Hollywood. Oh, yes,

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<v Speaker 1>so this was this is a film. It's it's I

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<v Speaker 1>think you can watch most of it on YouTube these days.

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<v Speaker 1>But as Dan Ackroyd, John Candy Cheech and Chong Gilda Radner,

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<v Speaker 1>that whole crew, and sort of before Mystery Science Theater,

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<v Speaker 1>there was this movie it was just a clip show

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<v Speaker 1>of like bad sci fi films and stuff, with the

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<v Speaker 1>hosts of the movie making jokes about them. Yeah, and

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<v Speaker 1>so a lot of trailer clips, a lot of weird clips.

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<v Speaker 1>And there's a whole section that I that I loved

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<v Speaker 1>as a kid about brains. You know, all these weird

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<v Speaker 1>fifties and sixties brain monster films, which which I think

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<v Speaker 1>are probably expressing a certain amount of anxiety regarding like

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<v Speaker 1>post war advances in neuroscience and the sort of existential

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<v Speaker 1>conundrums that are raised. You know, like, am I just

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<v Speaker 1>a brain? What does it mean to be just a brain? Well,

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<v Speaker 1>a brain jump out of someone's ed and attacked me

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<v Speaker 1>with its tentacles. There was a lot of revolutionary neuroscience

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<v Speaker 1>going on in the nineteen fifties, and yeah, I can

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<v Speaker 1>see exactly why people would be concerned about this kind

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<v Speaker 1>of thing, though some of them are just more like

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<v Speaker 1>I think there's one called like the Brain from Planet

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<v Speaker 1>Rouse or something that, yeah, just giant brains swarming at people.

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<v Speaker 1>So I don't know exactly how much that plays on

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<v Speaker 1>anxieties about neurology, but I mean I get that what

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<v Speaker 1>I really get a sense of it when I see

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<v Speaker 1>clips from Fiend without a face because as we have

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<v Speaker 1>the fabulous stop motion brains and kind of like spinal

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<v Speaker 1>column tentacles people, yeah, all over the furniture. We just

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<v Speaker 1>sprayed for brains last week. But anyway, this particular segment

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<v Speaker 1>on brains was introduced by Dan ackroyd Uh and he's

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<v Speaker 1>he's he's in this this scene. It's like he's in

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<v Speaker 1>a butcher's shop and he's playing a maniacal Perhaps he's

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<v Speaker 1>supposed to be like a mad brain scientist, or a

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<v Speaker 1>brain butcher, or like a brain addict cannibal. It's it's

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<v Speaker 1>kind of hard to say, it's not entirely clear, but

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<v Speaker 1>it's it's silly and it's gross, and it's I was

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<v Speaker 1>tempted to play a clip from it here, but it's

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<v Speaker 1>just so over the top that I don't I don't

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<v Speaker 1>think it would translate well to an audio only environment.

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<v Speaker 1>You are correctly capturing here the strangeness of the premise

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<v Speaker 1>for this sketch in the movie. I don't just blithely

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<v Speaker 1>throw around the phrase cocaine fuel. But there there are

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<v Speaker 1>some cases where you get you get a suspicion. But

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<v Speaker 1>also in that scene, I remember Dan Ackroyd is doing

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<v Speaker 1>a voice that sounds a lot like a Monty Python voice.

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<v Speaker 1>It's he sounds like the leader of the Knights who

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<v Speaker 1>say knee, Yes he does. It's that kind of like

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<v Speaker 1>ridiculous cartoonish voice. Uh yeah, the whole segment is is fabulous,

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<v Speaker 1>all right, But all this sort of these sort of

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<v Speaker 1>visceral reactions to the idea of brain soup. Aside, we

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<v Speaker 1>are not going to be talking about eating brains today

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<v Speaker 1>on the show. We're going to to talk about the

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<v Speaker 1>very real practice, the scientific practice of making brain soup

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<v Speaker 1>to better understand the neural power of animal brains. Well,

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<v Speaker 1>I am very intrigued already now, Robert, I know this.

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<v Speaker 1>The subject is not coming out of nowhere. This is

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<v Speaker 1>inspired by something that you just saw when you were

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<v Speaker 1>at the World Science Festival in New York City last week.

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<v Speaker 1>That's right, Yeah, I just got back and uh yeah.

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<v Speaker 1>This is held every the last week of May every year,

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<v Speaker 1>and as usual I got to hear some of the

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<v Speaker 1>world's leading scientists and thinkers discussed a number of exciting topics,

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<v Speaker 1>and one of the talks I attended was rethinking thinking

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<v Speaker 1>how intelligent are other animals? This is always a great

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<v Speaker 1>subject and something we've revisited quite a few times on

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<v Speaker 1>the podcast before. One time we talked with friends devol

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<v Speaker 1>here on the podcast in an interview about his book.

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<v Speaker 1>His book, I remember had a kind of awkward title.

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<v Speaker 1>It was something it was something like, are we smart

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<v Speaker 1>enough to know how smart animals are? Doesn't really roll

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<v Speaker 1>off the tongue. But it's actually a really good book. Uh.

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<v Speaker 1>And and this has come up with reference to the

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<v Speaker 1>intelligence of birds, and and quite a few cases. Actually, yeah,

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<v Speaker 1>and so this particular talk was loaded with interesting participants,

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<v Speaker 1>but the participant that got me thinking about brain soup

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<v Speaker 1>was Susanna or Kolana Uzel, PhD, biologist and neuroscientists at

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<v Speaker 1>Vanderbilt University in Nashville, Tennessee, where she is Associate professor

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<v Speaker 1>in the Department of Psychology and Biological Sciences, and her

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<v Speaker 1>research 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 thirteen. She's she's

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<v Speaker 1>a fantastic public speaker, So yeah, she seems like a

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<v Speaker 1>really good public science communicator. Yeah, Like when I say

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<v Speaker 1>you know that you have a panel of of leading

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<v Speaker 1>scientists there on the stage, like, don't don't imagine something stuffy,

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<v Speaker 1>because you often have some just really wonderful science communicators

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<v Speaker 1>up there that you know, are experts in their field,

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<v Speaker 1>but are also able to talk about that in a

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<v Speaker 1>way that people at you know, various levels of expertise

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<v Speaker 1>can can jump in on. And that's certainly the case

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<v Speaker 1>with Susanna her Colono Ozel. Now I do want to

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<v Speaker 1>mention you're probably you're hearing this last name. Sometimes you

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<v Speaker 1>will hear people pronounce it her colono hose l um.

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<v Speaker 1>If you're trying to look it up, it's h e

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<v Speaker 1>r c u l a n O dash h o

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<v Speaker 1>u z e l. Trying to to do the name

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<v Speaker 1>justice here with our bungling mouths. So, as she tells it,

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<v Speaker 1>her Colona Hoose was working as a science educator um

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<v Speaker 1>in Rio de Janaro, Brazil, and uh and she kept

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<v Speaker 1>running into an old myth that I'm sure many of

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<v Speaker 1>you have run into before as well. Now this is

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<v Speaker 1>not when we use the word myth too. In the

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<v Speaker 1>non derogatory sciences 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 I 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 films and pretty much

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<v Speaker 1>anytime you see this trouted out, it's it's with the

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<v Speaker 1>idea like there's there are ways to open up the

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<v Speaker 1>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>left of the cage, right, and it's supplied by you know,

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<v Speaker 1>some sort of mad science. If you're in a fiction

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<v Speaker 1>or if you're encountering it saying some sort of self

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<v Speaker 1>help scenario, then they're going to sell you the key

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<v Speaker 1>or yeah, if you're encountering it, and uh, it's say

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<v Speaker 1>nutritional supplement marketing. I mean, this is a big thing

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<v Speaker 1>out there. Yeah, but we say it's a myth because

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<v Speaker 1>and we'll break this down a little bit here, but

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<v Speaker 1>but basically, there's nothing to these numbers. Now, we we

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<v Speaker 1>all use of our brains. Well, when you instart, when

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<v Speaker 1>you start to look at the claim, it becomes less

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<v Speaker 1>and less clear what it even means. What does it

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<v Speaker 1>mean we only use ten percent of our brain at

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<v Speaker 1>a time? Do we only use ten percent of it

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<v Speaker 1>ever in our whole lives? Like what even counts as

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<v Speaker 1>quote using the brain in the first place. Yeah, I

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<v Speaker 1>feel like we've talked about about neuroscience on the show enough,

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<v Speaker 1>you know, and talking about various f m r I

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<v Speaker 1>S studies and like what parts of the brain are

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<v Speaker 1>lighting up, what parts of the brain, and what networks

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<v Speaker 1>of the brain are associated with different thoughts and behaviors, etcetera.

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<v Speaker 1>That it's it's clear that like there's there is definitely

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<v Speaker 1>a lot of stuff in play, and that virtually and

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<v Speaker 1>then really everything is in play. Um I guess, I

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<v Speaker 1>guess the confusion could be if you're looking at various

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<v Speaker 1>images of fMRI I s and you're thinking, oh, well,

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<v Speaker 1>that looks about like ten percent. That looks about like

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<v Speaker 1>ten percent. That's a really good point when people talk

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<v Speaker 1>about f m r I studies, sometimes they will loosely

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<v Speaker 1>and casually try to explain the findings of an fMRI

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<v Speaker 1>I study by saying, hey, when somebody was doing this

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<v Speaker 1>to ask with their brain, you know, they were trying

0:12:01.400 --> 0:12:04.000
<v Speaker 1>to tie a knod or they were you know, whittling

0:12:04.080 --> 0:12:07.560
<v Speaker 1>a whittling a horsey out of soap. When they're doing

0:12:07.600 --> 0:12:10.480
<v Speaker 1>this task, this part of their brain lights up. That's

0:12:10.520 --> 0:12:13.120
<v Speaker 1>the phrase this lights up, which implies to the entire

0:12:13.160 --> 0:12:16.320
<v Speaker 1>rest of the brain is dark until it just lights up,

0:12:16.440 --> 0:12:19.120
<v Speaker 1>as if it's like totally dormant. And that's not true.

0:12:19.160 --> 0:12:22.360
<v Speaker 1>I mean brain imaging studies like you know, PT scans

0:12:22.400 --> 0:12:26.000
<v Speaker 1>and fm r I that they show relative activity, so

0:12:26.080 --> 0:12:30.240
<v Speaker 1>that they're charting activity and seeing what areas, uh get

0:12:30.320 --> 0:12:33.760
<v Speaker 1>get surges of activity relative to what they were doing

0:12:33.920 --> 0:12:36.520
<v Speaker 1>at other times. Right there, the areas that are not

0:12:36.600 --> 0:12:39.240
<v Speaker 1>lit up are not lifeless. Right. But I mean, even

0:12:39.320 --> 0:12:41.600
<v Speaker 1>back to this, I want to know again what what

0:12:41.600 --> 0:12:44.920
<v Speaker 1>would actually mean to use your whole brain or to

0:12:45.160 --> 0:12:48.960
<v Speaker 1>use certain percentages of your brain. I was reading around

0:12:49.000 --> 0:12:51.240
<v Speaker 1>about this and I found one pretty interesting thing. So

0:12:51.280 --> 0:12:54.920
<v Speaker 1>the neuroscientist Gabrielle and Torrey. I think she's at Boston

0:12:55.040 --> 0:12:58.880
<v Speaker 1>University now. She wrote an interesting post about this myth

0:12:58.920 --> 0:13:01.440
<v Speaker 1>that I found on a website Knowing Neurons, and in

0:13:01.600 --> 0:13:05.640
<v Speaker 1>one section of her article, she discusses difficulties determining what

0:13:05.679 --> 0:13:09.120
<v Speaker 1>it would actually mean to use quote a hundred percent

0:13:09.200 --> 0:13:11.640
<v Speaker 1>of your brain, Like, there's no single way to measure

0:13:11.720 --> 0:13:14.240
<v Speaker 1>what portion of the brain is being used at any

0:13:14.240 --> 0:13:17.120
<v Speaker 1>given time. The default mode network, of course, is in

0:13:17.200 --> 0:13:20.320
<v Speaker 1>operation throughout the brain pretty much all the time. But

0:13:20.400 --> 0:13:23.319
<v Speaker 1>does that not count as the brain being used? I

0:13:23.360 --> 0:13:25.400
<v Speaker 1>mean that even when you're at rest, the default mode

0:13:25.480 --> 0:13:28.199
<v Speaker 1>network is whirring away all throughout the brain. Ye, quite

0:13:28.280 --> 0:13:30.880
<v Speaker 1>unfortunately in some cases. In some case I don't know

0:13:30.920 --> 0:13:32.760
<v Speaker 1>if you'd want to be without your default Well now

0:13:32.760 --> 0:13:34.480
<v Speaker 1>I wouldn't want to give it up, but it it

0:13:34.600 --> 0:13:36.719
<v Speaker 1>is kind of thorn in my side at times. It

0:13:36.840 --> 0:13:40.040
<v Speaker 1>certainly can be. But then interesting, I really like this part.

0:13:40.080 --> 0:13:43.560
<v Speaker 1>So she tries to take this claim seriously, like this

0:13:43.640 --> 0:13:47.320
<v Speaker 1>ten percent of the brain is being used claim, and

0:13:47.880 --> 0:13:49.800
<v Speaker 1>she's like, what would that actually mean? Well, she offers

0:13:49.840 --> 0:13:52.559
<v Speaker 1>one interpretation of what it would mean to use a

0:13:52.800 --> 0:13:54.800
<v Speaker 1>dred percent of your brain, and it would mean a

0:13:54.840 --> 0:13:58.280
<v Speaker 1>grand moll seizure, So it would be like limitless except

0:13:58.280 --> 0:14:01.200
<v Speaker 1>Bradley Cooper takes a magic and it just makes his

0:14:01.280 --> 0:14:05.199
<v Speaker 1>brain like like we almost explode. Yeah, exactly. So, to

0:14:05.280 --> 0:14:08.480
<v Speaker 1>read from tories where quote, seizures are defined by excessive

0:14:08.480 --> 0:14:11.040
<v Speaker 1>and synchronous neural activity. If we wanted to use a

0:14:11.120 --> 0:14:14.200
<v Speaker 1>hundred percent of our brains to stimulate each of the

0:14:14.280 --> 0:14:17.600
<v Speaker 1>brains one hundred billion neurons, this is funny. We should

0:14:17.640 --> 0:14:20.440
<v Speaker 1>come back to this in a second, to maximum capacity

0:14:20.920 --> 0:14:25.080
<v Speaker 1>firing would result in a likely fatal physical experience. To

0:14:25.120 --> 0:14:28.480
<v Speaker 1>hope for synchronous exit. Tory activity across the cortex is

0:14:28.560 --> 0:14:32.240
<v Speaker 1>in many ways synonymous to a Grand Mall seizure. Uh.

0:14:32.280 --> 0:14:34.400
<v Speaker 1>This is the most severe type of seizure and leads

0:14:34.400 --> 0:14:37.880
<v Speaker 1>to loss of consciousness and severe muscle contractions, not the

0:14:37.960 --> 0:14:41.840
<v Speaker 1>unlocking of superhuman abilities. So I think obviously we don't

0:14:42.080 --> 0:14:46.120
<v Speaker 1>just want universal synchronous patterns of excitation of every neuron

0:14:46.160 --> 0:14:50.880
<v Speaker 1>in the cortex. That's stupid. That's not something to wish for, right.

0:14:50.960 --> 0:14:55.000
<v Speaker 1>It's like, you don't want the brain working that hard universally.

0:14:55.040 --> 0:14:56.520
<v Speaker 1>It's like you don't want your your you don't want

0:14:56.560 --> 0:14:59.760
<v Speaker 1>your xbox to be clearly just just heating up and

0:15:00.040 --> 0:15:02.360
<v Speaker 1>that the fan is about to explode like that, you know,

0:15:02.440 --> 0:15:08.320
<v Speaker 1>something's wrong with it. Yeah, my CPU is constantly And

0:15:08.360 --> 0:15:10.960
<v Speaker 1>she also mentions the default mode network. You know, it's

0:15:11.040 --> 0:15:15.359
<v Speaker 1>this diffuse, interconnected set of activity notes that show activation

0:15:15.400 --> 0:15:18.000
<v Speaker 1>when the brain is otherwise at rest. You know, it

0:15:18.000 --> 0:15:21.920
<v Speaker 1>shows the brain is pretty much never dormant. There's activity

0:15:21.920 --> 0:15:24.800
<v Speaker 1>throughout most of the brain most of the time. So

0:15:24.920 --> 0:15:29.000
<v Speaker 1>where did this clearly false claim come from? The answer

0:15:29.040 --> 0:15:31.480
<v Speaker 1>actually isn't known for sure, but I found one commonly

0:15:31.560 --> 0:15:35.560
<v Speaker 1>cited early example is a quote falsely attributed to the

0:15:35.600 --> 0:15:39.440
<v Speaker 1>American psychologist William James, the author of a great classic text,

0:15:39.480 --> 0:15:42.000
<v Speaker 1>The Varieties of Religious Experience, which is still interesting to

0:15:42.040 --> 0:15:44.120
<v Speaker 1>read parts of today. Yeah, we've cited him a few

0:15:44.160 --> 0:15:46.960
<v Speaker 1>different times on the show. Yeah, but apparently James did

0:15:47.000 --> 0:15:50.600
<v Speaker 1>write something generically kind of like this, but without a

0:15:50.720 --> 0:15:54.000
<v Speaker 1>number sited uh, in a piece called The Energies of Men,

0:15:54.400 --> 0:15:57.040
<v Speaker 1>where you wrote, quote, we are making use of only

0:15:57.080 --> 0:15:59.920
<v Speaker 1>a small part of our possible mental and physical resource

0:16:00.080 --> 0:16:02.640
<v Speaker 1>is which is a very different kind of statement, right. Yeah,

0:16:02.640 --> 0:16:04.720
<v Speaker 1>he's not putting a fine number on it or saying like,

0:16:05.480 --> 0:16:08.960
<v Speaker 1>you know, I mean that that statement alone is not

0:16:08.960 --> 0:16:11.880
<v Speaker 1>not implying that the portions of the brain are inactive,

0:16:12.080 --> 0:16:15.640
<v Speaker 1>just that, you know, we're not taking full advantage of

0:16:15.640 --> 0:16:19.360
<v Speaker 1>our neurological potential. And I want to mention a bit

0:16:19.400 --> 0:16:21.880
<v Speaker 1>more about that in a second. Uh So, as to

0:16:22.040 --> 0:16:24.440
<v Speaker 1>the origin of the phrase, the ten percent figure is

0:16:24.480 --> 0:16:27.440
<v Speaker 1>also cited in the nineteen thirties, and this has been

0:16:27.440 --> 0:16:30.080
<v Speaker 1>pointed out by quite a few investigators by the author

0:16:30.200 --> 0:16:34.320
<v Speaker 1>of an introduction to Dale Carnegie's classic self help book

0:16:34.360 --> 0:16:37.920
<v Speaker 1>How to Win Friends and Influence People, which possibly little

0:16:37.960 --> 0:16:41.840
<v Speaker 1>known fact Charles Manson's favorite book Really Yeah, a classic

0:16:41.920 --> 0:16:45.080
<v Speaker 1>of business leaders and serial killers alike. But this explains

0:16:45.120 --> 0:16:47.320
<v Speaker 1>it a bit though. Right We have here an introduction

0:16:47.400 --> 0:16:51.520
<v Speaker 1>to a widely read popular book. Yeah, and the author

0:16:51.560 --> 0:16:53.920
<v Speaker 1>of the introduction says, we only act, you know, we

0:16:53.960 --> 0:16:56.480
<v Speaker 1>only use ten percent of our brains. The vast amount

0:16:56.520 --> 0:16:59.880
<v Speaker 1>of our mental potential is untapped. And I mentioned this

0:17:00.040 --> 0:17:02.280
<v Speaker 1>minute ago, but I just want to hammer home again.

0:17:02.360 --> 0:17:05.280
<v Speaker 1>I feel like I've seen this nonsensical ten percent fact

0:17:05.400 --> 0:17:09.440
<v Speaker 1>invoked by people selling some of the various like brain

0:17:09.520 --> 0:17:14.000
<v Speaker 1>booster pills and supposed new tropics supplements. Uh. I would

0:17:14.040 --> 0:17:16.680
<v Speaker 1>advise people to be cautious about that kind of stuff.

0:17:16.680 --> 0:17:19.120
<v Speaker 1>And I'm not ruling out the possibility that there are

0:17:19.240 --> 0:17:22.840
<v Speaker 1>some nutritional supplements or drugs that might in some cases

0:17:22.920 --> 0:17:26.040
<v Speaker 1>have a small effect on mental performance. But if somebody

0:17:26.119 --> 0:17:28.720
<v Speaker 1>is trying to sell you pills that will unlock the

0:17:28.840 --> 0:17:32.560
<v Speaker 1>untapped godlike potential of the you know, the paid access

0:17:32.560 --> 0:17:35.360
<v Speaker 1>part of your brain, the brain is premium content. As

0:17:35.359 --> 0:17:38.280
<v Speaker 1>a general rule, be suspicious of this. I would I

0:17:38.280 --> 0:17:40.920
<v Speaker 1>would advise in general, don't trust them and don't give

0:17:40.960 --> 0:17:44.399
<v Speaker 1>them your money, because they're certainly tapping into something I

0:17:44.400 --> 0:17:46.240
<v Speaker 1>think we all know to be true, and we all

0:17:46.240 --> 0:17:48.359
<v Speaker 1>certainly want to be true, the idea that there is

0:17:48.440 --> 0:17:52.240
<v Speaker 1>room for improvement exactly know that we can learn new things,

0:17:52.320 --> 0:17:54.320
<v Speaker 1>that we can we can take on new patterns, and

0:17:54.359 --> 0:17:56.080
<v Speaker 1>all of these things are true. You don't need a

0:17:56.080 --> 0:17:58.359
<v Speaker 1>phony number to back that up, exactly right. I mean,

0:17:58.400 --> 0:18:00.399
<v Speaker 1>I think a large part of the basis for false

0:18:00.440 --> 0:18:03.919
<v Speaker 1>fact about ten percent lies not in how much of

0:18:03.920 --> 0:18:07.119
<v Speaker 1>our brains we use as a as a ratio, but

0:18:07.240 --> 0:18:10.040
<v Speaker 1>in the way that we use our brains. And the

0:18:10.040 --> 0:18:12.919
<v Speaker 1>most salient example that comes to my mind is the

0:18:12.960 --> 0:18:16.520
<v Speaker 1>psychologist Daniel Konomon is really useful metaphors of system one

0:18:16.640 --> 0:18:19.680
<v Speaker 1>versus system to thinking. You know, so system one we've

0:18:19.840 --> 0:18:22.720
<v Speaker 1>discussed on the podcast before, but system one is a

0:18:22.840 --> 0:18:25.880
<v Speaker 1>suite of human brain functions that allow us to process

0:18:25.960 --> 0:18:31.520
<v Speaker 1>information in a fast, easy, automatic, and approximate way. It's intuition,

0:18:31.640 --> 0:18:35.520
<v Speaker 1>so you know, think rules of thumb, stereotypes, intuitive and

0:18:35.560 --> 0:18:40.840
<v Speaker 1>reactive thinking eyebawling it. Meanwhile, system two is described as

0:18:40.880 --> 0:18:44.520
<v Speaker 1>the slow, deliberate, effortful thinking, the kind of reasoning you

0:18:44.640 --> 0:18:47.280
<v Speaker 1>use when you make a list of pros and cons,

0:18:47.359 --> 0:18:50.440
<v Speaker 1>or you solve a math problem, or you carefully plan

0:18:50.560 --> 0:18:54.160
<v Speaker 1>a route of movement somewhere, or you effortfully trace out

0:18:54.160 --> 0:18:57.320
<v Speaker 1>the logic of an argument. We're all capable of both

0:18:57.440 --> 0:19:00.200
<v Speaker 1>kinds of thinking, but we also rely on systum tim

0:19:00.240 --> 0:19:03.000
<v Speaker 1>one most of the time for most things. And that's

0:19:03.040 --> 0:19:06.800
<v Speaker 1>because of efficiency. Like you can't process all information in

0:19:06.840 --> 0:19:10.240
<v Speaker 1>a slow, effortful way you don't have time. And system

0:19:10.240 --> 0:19:12.480
<v Speaker 1>one is not all bad in some tasks. I think

0:19:12.480 --> 0:19:15.280
<v Speaker 1>it might actually be superior. Like consider the way that

0:19:15.760 --> 0:19:20.840
<v Speaker 1>overthinking some athletic tasks like shooting a basketball actually makes

0:19:20.880 --> 0:19:23.080
<v Speaker 1>you worse at them, you know, like a lot of

0:19:23.119 --> 0:19:25.600
<v Speaker 1>players find that they sink more baskets if they just

0:19:25.600 --> 0:19:28.120
<v Speaker 1>try to relax and let the shot happen rather than

0:19:28.359 --> 0:19:32.080
<v Speaker 1>focusing on the distance and the angle and everything. And

0:19:32.160 --> 0:19:34.320
<v Speaker 1>I think this actually even comes through in some more

0:19:34.359 --> 0:19:37.440
<v Speaker 1>abstract tasks like sometimes I think people can be better

0:19:37.560 --> 0:19:40.480
<v Speaker 1>writers if they if they just kind of enter a

0:19:40.560 --> 0:19:44.840
<v Speaker 1>flow state and not sitting overthink over, deliberative lee about

0:19:44.840 --> 0:19:48.760
<v Speaker 1>the sentences they're constructing. This is very interesting and hopefully

0:19:48.760 --> 0:19:50.800
<v Speaker 1>this won't be too much of a tangent here, but um,

0:19:51.280 --> 0:19:53.480
<v Speaker 1>but it's also we have to be careful about thinking

0:19:53.520 --> 0:19:56.520
<v Speaker 1>about like system one a system to being just complete

0:19:56.560 --> 0:20:00.600
<v Speaker 1>like jackal and hides because actually the World's Science Festival,

0:20:00.600 --> 0:20:03.600
<v Speaker 1>another Penelty attendant had to do with risky behavior and

0:20:03.640 --> 0:20:07.000
<v Speaker 1>risk taking, especially in extreme sports UH such as say

0:20:07.119 --> 0:20:10.480
<v Speaker 1>free solo climbing UH and like free cloaks of solo

0:20:10.480 --> 0:20:12.960
<v Speaker 1>climbing is a great example because you have you have

0:20:13.000 --> 0:20:17.280
<v Speaker 1>certain individuals who definitely display more of a system to approach,

0:20:17.400 --> 0:20:21.080
<v Speaker 1>like they are methodical. They're they're not they're not climbing

0:20:21.080 --> 0:20:25.399
<v Speaker 1>at climbing that that that that that sheer cliff without

0:20:25.440 --> 0:20:28.960
<v Speaker 1>the aid of ropes, you know, without having practiced it

0:20:29.040 --> 0:20:31.560
<v Speaker 1>many times, without having climbed it many times with ropes

0:20:31.720 --> 0:20:34.960
<v Speaker 1>and thinking through several moves ahead, you see where you're

0:20:34.960 --> 0:20:37.320
<v Speaker 1>going to go. On the other hand, you have individuals

0:20:37.320 --> 0:20:42.280
<v Speaker 1>who do have more of an impulsive approach to risky behaviors,

0:20:42.400 --> 0:20:46.280
<v Speaker 1>risk taking activities. But like with the basketball, you can say,

0:20:46.280 --> 0:20:49.520
<v Speaker 1>well you can perhaps you're engaging in system too to

0:20:49.640 --> 0:20:52.159
<v Speaker 1>practice so that you can reach the point where you

0:20:52.160 --> 0:20:56.480
<v Speaker 1>can engage with the challenge with a system one mindset.

0:20:56.640 --> 0:20:58.639
<v Speaker 1>I think that's exactly right. So, yeah, system one is

0:20:58.680 --> 0:21:02.560
<v Speaker 1>not necessarily bad. It's not all bad. Sometimes it's bad.

0:21:02.880 --> 0:21:05.359
<v Speaker 1>And I think we're all aware of cases where we

0:21:05.480 --> 0:21:11.440
<v Speaker 1>have used fast, intuitive, reactive, likely inaccurate thinking when we

0:21:11.640 --> 0:21:14.640
<v Speaker 1>know that we probably could have and should have stopped

0:21:14.720 --> 0:21:17.479
<v Speaker 1>to think things out slowly and deliberately. Like you can

0:21:17.480 --> 0:21:21.159
<v Speaker 1>probably immediately think of examples where you really wish you

0:21:21.240 --> 0:21:24.440
<v Speaker 1>had switched over to system to thinking, but you made

0:21:24.480 --> 0:21:27.080
<v Speaker 1>a fast, intuitive decision and you came to regret it.

0:21:27.240 --> 0:21:31.119
<v Speaker 1>And I think it's this kind of frequently squandered mental

0:21:31.160 --> 0:21:34.040
<v Speaker 1>potential that becomes the nugget of truth in the ten

0:21:34.080 --> 0:21:37.040
<v Speaker 1>percent factoid. We use our whole brains, but we don't

0:21:37.080 --> 0:21:40.320
<v Speaker 1>always use our brains as effectively as we know we're

0:21:40.359 --> 0:21:44.320
<v Speaker 1>capable of in every scenario, because it's hard because we're

0:21:44.359 --> 0:21:47.080
<v Speaker 1>in a hurry. Does that make sense? Absolutely? Yeah, We we

0:21:46.960 --> 0:21:50.000
<v Speaker 1>we delive life. We have to engage both approaches to

0:21:50.080 --> 0:21:52.560
<v Speaker 1>our decision. Make yeah. All right, On that note, we're

0:21:52.560 --> 0:21:54.200
<v Speaker 1>going to take a quick break. But when we come back,

0:21:54.280 --> 0:21:56.960
<v Speaker 1>we're going to return to the idea of brain soup

0:21:57.240 --> 0:22:02.680
<v Speaker 1>and to the work of Susanna or Colna Ozel. Alright,

0:22:02.680 --> 0:22:05.840
<v Speaker 1>we're back. So we got sidetracked on the the idea

0:22:05.920 --> 0:22:08.600
<v Speaker 1>of whether or not people actually use more than ten

0:22:08.640 --> 0:22:11.359
<v Speaker 1>percent of their brains. We do in pretty much anyway

0:22:11.400 --> 0:22:14.639
<v Speaker 1>you interpret that. But that came up because it was

0:22:14.720 --> 0:22:19.040
<v Speaker 1>the basis of a journey of research that the neuroscientist

0:22:19.240 --> 0:22:22.800
<v Speaker 1>Susannah Orku Lana Zel went on. And so let's pick

0:22:22.800 --> 0:22:25.000
<v Speaker 1>back up with her story from the event you saw

0:22:25.000 --> 0:22:26.760
<v Speaker 1>in New York City. All right, So she was talking

0:22:26.800 --> 0:22:29.680
<v Speaker 1>about another number that she kept coming across that she

0:22:29.760 --> 0:22:32.760
<v Speaker 1>found curious, that she found suspicious, and that is the

0:22:32.840 --> 0:22:36.240
<v Speaker 1>number one billion. Oh. Now, this just came up a

0:22:36.240 --> 0:22:39.080
<v Speaker 1>minute ago when we were talking about an approximation. Now,

0:22:39.119 --> 0:22:41.080
<v Speaker 1>I don't want to indict the author that cited and

0:22:41.119 --> 0:22:44.800
<v Speaker 1>because it's a reasonable approximation. But well, yeah, and we'll

0:22:44.800 --> 0:22:47.200
<v Speaker 1>get into we'll get into that. But but yeah, she

0:22:47.240 --> 0:22:50.159
<v Speaker 1>kept running across this idea that the human brain contains

0:22:50.200 --> 0:22:53.840
<v Speaker 1>a hundred billion neurons and ten times as many glial cells.

0:22:54.720 --> 0:22:56.679
<v Speaker 1>But the thing is unlike that ten percent of the

0:22:56.680 --> 0:22:59.600
<v Speaker 1>brain thing. This was not merely the domain of pop

0:22:59.640 --> 0:23:02.800
<v Speaker 1>culture or in science fiction. No, this figure freak was

0:23:02.840 --> 0:23:06.840
<v Speaker 1>frequently cited by neuroscientists, by psychologists, and and sometimes applied

0:23:07.200 --> 0:23:09.800
<v Speaker 1>as a as a comparison to the number of stars

0:23:09.840 --> 0:23:12.159
<v Speaker 1>in the Milky Way. I imagine a number of you

0:23:12.160 --> 0:23:14.919
<v Speaker 1>have heard this one before. What a hundred billion stars

0:23:14.920 --> 0:23:17.280
<v Speaker 1>in the Milky Way. Yeah, So the idea of being like, hey,

0:23:17.320 --> 0:23:19.720
<v Speaker 1>you have a hundred a hundred billion eurons in your head.

0:23:19.760 --> 0:23:21.760
<v Speaker 1>That's as many stars as there are in the Milky Way,

0:23:21.800 --> 0:23:23.840
<v Speaker 1>which I mean, on one level, I think that's a

0:23:23.920 --> 0:23:27.720
<v Speaker 1>useful metaphor because you're basically making the statement that, um,

0:23:27.960 --> 0:23:31.320
<v Speaker 1>that that inner space is as complex and vast as

0:23:31.400 --> 0:23:34.359
<v Speaker 1>we take outer space to be. But on the other hand,

0:23:34.359 --> 0:23:37.600
<v Speaker 1>when you start looking at those actual numbers, uh, there's

0:23:37.640 --> 0:23:40.840
<v Speaker 1>some problems on both sides, because for starters, the hundred

0:23:40.840 --> 0:23:43.320
<v Speaker 1>billion star estimate in the Milky Way is not a

0:23:43.320 --> 0:23:46.520
<v Speaker 1>solid number. By some estimations, the Milky Way has the

0:23:46.800 --> 0:23:50.280
<v Speaker 1>mass of a hundred billion solar masses, but other estimates,

0:23:50.320 --> 0:23:53.320
<v Speaker 1>say four hundred billion or even seven hundred billion solar

0:23:53.359 --> 0:23:56.280
<v Speaker 1>masses is more accurate. Yeah, this is a fascinating question

0:23:56.320 --> 0:23:58.920
<v Speaker 1>on its own because so it's difficult to know the

0:23:59.000 --> 0:24:01.320
<v Speaker 1>number of stars in the mill Key Way galaxy because

0:24:01.359 --> 0:24:04.240
<v Speaker 1>obviously we can't just count them, as you can't look

0:24:04.280 --> 0:24:06.560
<v Speaker 1>up there and count them. The best we can do

0:24:06.680 --> 0:24:09.960
<v Speaker 1>is estimate on the basis of the mass and luminosity

0:24:10.000 --> 0:24:12.880
<v Speaker 1>of the galaxy as a whole. But this presents difficulties

0:24:12.880 --> 0:24:15.399
<v Speaker 1>too because there are plenty of things in the galaxy

0:24:15.520 --> 0:24:18.960
<v Speaker 1>other than stars. Right, the vast majority of the mass

0:24:19.000 --> 0:24:22.200
<v Speaker 1>of our galaxy is not even normal matter. It seems

0:24:22.280 --> 0:24:25.200
<v Speaker 1>to be dark matter, which is still an unsolved mystery

0:24:25.200 --> 0:24:29.000
<v Speaker 1>and astrophysics. And dark matter, of course, is this hypothetical

0:24:29.119 --> 0:24:32.760
<v Speaker 1>stuff that we detect by measuring its mass, in other words,

0:24:32.800 --> 0:24:36.159
<v Speaker 1>the gravitational effect it has on stuff around it, But

0:24:36.240 --> 0:24:39.640
<v Speaker 1>it doesn't appear to interact with electromagnetic radiation like light,

0:24:39.760 --> 0:24:43.040
<v Speaker 1>making it unlike any other ordinary matter that we know of.

0:24:43.080 --> 0:24:45.600
<v Speaker 1>So at this point we don't know what that stuff is,

0:24:45.640 --> 0:24:47.560
<v Speaker 1>and that's most of the mass out there. And then

0:24:47.600 --> 0:24:50.240
<v Speaker 1>past that, we know that a lot of the ordinary

0:24:50.240 --> 0:24:52.719
<v Speaker 1>matter in the galaxy is not just stars. Some of

0:24:52.760 --> 0:24:57.560
<v Speaker 1>it is uh like unincorporated debris, cosmic gas and dust,

0:24:57.680 --> 0:25:00.679
<v Speaker 1>just hydrogen clouds out there. Of course that's not the

0:25:00.720 --> 0:25:03.359
<v Speaker 1>majority of the luminous matter, but it's enough to complicate

0:25:03.400 --> 0:25:06.400
<v Speaker 1>the problem of estimating star counts. And then on top

0:25:06.440 --> 0:25:09.159
<v Speaker 1>of that, you've got ice and comets and planets and

0:25:09.320 --> 0:25:11.960
<v Speaker 1>black holes and a supermassive black hole at the center

0:25:11.960 --> 0:25:14.680
<v Speaker 1>of the galaxy. And on top of that also stars

0:25:14.720 --> 0:25:17.600
<v Speaker 1>are of dramatically different masses, so you have to figure

0:25:17.600 --> 0:25:21.680
<v Speaker 1>out the right average stellar mass to divide by. So

0:25:21.800 --> 0:25:24.800
<v Speaker 1>it's it's almost like this isn't a perfect metaphor, but

0:25:24.840 --> 0:25:26.600
<v Speaker 1>I was trying to think of one. It's almost like

0:25:26.680 --> 0:25:30.439
<v Speaker 1>catching an unknown species of fish and then weighing it

0:25:30.560 --> 0:25:33.480
<v Speaker 1>and then trying to guess how many bones it has.

0:25:33.880 --> 0:25:35.840
<v Speaker 1>You know, like you can't count them just from looking

0:25:36.080 --> 0:25:38.760
<v Speaker 1>from the outside, uh. And the bones aren't all the

0:25:38.800 --> 0:25:41.320
<v Speaker 1>same size and weight. Uh. And there's a lot of

0:25:41.400 --> 0:25:44.040
<v Speaker 1>other stuff in there too that's not bones. But so

0:25:44.200 --> 0:25:46.679
<v Speaker 1>you can sort of estimate based on a number of

0:25:46.720 --> 0:25:50.120
<v Speaker 1>likely assumptions, but you can't get an accurate count, which

0:25:50.200 --> 0:25:53.440
<v Speaker 1>leads us back to the human brain. And this idea

0:25:53.480 --> 0:25:56.720
<v Speaker 1>of this number that was thrown around again not non

0:25:56.720 --> 0:26:00.440
<v Speaker 1>inscience fiction films, but in pure viewed papers and in

0:26:00.440 --> 0:26:03.000
<v Speaker 1>in in textbooks as well. It was just out there

0:26:03.040 --> 0:26:06.399
<v Speaker 1>and sort of the scientific zeitgeis the idea that there

0:26:06.400 --> 0:26:09.439
<v Speaker 1>were a hundred billion neurons in the human brain. And

0:26:09.480 --> 0:26:11.879
<v Speaker 1>we didn't know where this number comes from, right, And

0:26:11.920 --> 0:26:16.359
<v Speaker 1>so Susannah Rocolano Hozel she was wondering too, and so

0:26:16.400 --> 0:26:18.640
<v Speaker 1>she she started looking into it, and she looked and looked,

0:26:18.640 --> 0:26:22.640
<v Speaker 1>and she found no pre existing count, no scientific basis

0:26:22.680 --> 0:26:24.600
<v Speaker 1>for the number at all. The number was just floating

0:26:24.640 --> 0:26:28.760
<v Speaker 1>around in the scientific world. So the obvious solution is, well,

0:26:28.800 --> 0:26:31.800
<v Speaker 1>somebody's got to to look it up. Somebody's got to

0:26:31.880 --> 0:26:35.199
<v Speaker 1>count these neurons. And so she set out to do

0:26:35.359 --> 0:26:39.159
<v Speaker 1>just that via a novel tool that she developed in

0:26:39.200 --> 0:26:42.919
<v Speaker 1>the lab in two thousand five, and that is turning

0:26:42.920 --> 0:26:46.600
<v Speaker 1>brains into soup. The cification of the of of of

0:26:46.680 --> 0:26:50.359
<v Speaker 1>the animal brain. Question, did she say, what the soup

0:26:50.400 --> 0:26:54.080
<v Speaker 1>tastes like? No? I believe she said that the soup

0:26:54.560 --> 0:26:58.720
<v Speaker 1>looked like unfiltered apple juice and apparently turned some of

0:26:58.720 --> 0:27:01.359
<v Speaker 1>the students off of apple is perhaps forever it looks.

0:27:01.359 --> 0:27:03.880
<v Speaker 1>I mean, I've seen it looks like murky swamp water. Yeah.

0:27:03.920 --> 0:27:06.720
<v Speaker 1>So I doubt that anybody tasted it, because this is

0:27:06.720 --> 0:27:11.399
<v Speaker 1>sort of like priceless research material. But uh I don't know.

0:27:11.440 --> 0:27:14.520
<v Speaker 1>Then again, you wonder if somebody got curious at some point.

0:27:14.720 --> 0:27:16.520
<v Speaker 1>I don't know. She's she's a she's a pretty good

0:27:17.240 --> 0:27:19.800
<v Speaker 1>she's a wonderful communicator, and she has a wonderful sense

0:27:19.800 --> 0:27:23.320
<v Speaker 1>of humor. I imagine if somebody had tasted it, even accidentally,

0:27:23.840 --> 0:27:25.720
<v Speaker 1>she would she would have mentioned it in one of

0:27:25.720 --> 0:27:28.040
<v Speaker 1>the talks or or write ups or interviews that we

0:27:28.119 --> 0:27:30.239
<v Speaker 1>looked at. You know what, I've got a guess as

0:27:30.280 --> 0:27:32.040
<v Speaker 1>to what it tastes like. I bet it tastes like

0:27:32.119 --> 0:27:36.480
<v Speaker 1>chicken stock probably probably a good good guess, and well

0:27:36.600 --> 0:27:38.520
<v Speaker 1>and perhaps from Mount hot but we'll get into that.

0:27:39.000 --> 0:27:42.560
<v Speaker 1>Uh So, Basically, yeah, so she she set out to

0:27:42.600 --> 0:27:46.000
<v Speaker 1>make brains into soup. Uh So, Basically she came across

0:27:46.119 --> 0:27:49.840
<v Speaker 1>previous lab efforts from the nineteen seventies to turn the

0:27:49.840 --> 0:27:54.000
<v Speaker 1>brain into soups to measure DNA concentrations um. And one

0:27:54.000 --> 0:27:57.080
<v Speaker 1>of the keys here is that soup is a homogeneous solution.

0:27:57.480 --> 0:28:01.240
<v Speaker 1>So if you reduce something like like the brain that

0:28:01.640 --> 0:28:04.399
<v Speaker 1>to soup, then you have a better ability to like

0:28:04.480 --> 0:28:07.960
<v Speaker 1>get a sample of that soup, do account within that sample,

0:28:08.280 --> 0:28:12.440
<v Speaker 1>and then apply that, you know, to the full volume

0:28:12.480 --> 0:28:14.879
<v Speaker 1>of the soup. So anyway, she said, well, well I

0:28:14.880 --> 0:28:18.360
<v Speaker 1>could use this method then, uh, to figure out how

0:28:18.359 --> 0:28:21.119
<v Speaker 1>many neurons during the brain. You know, liquefy cell membranes

0:28:21.359 --> 0:28:25.000
<v Speaker 1>leave the nuclei intact, allowing them, allowing everyone to you know,

0:28:25.040 --> 0:28:27.800
<v Speaker 1>to count the remaining nuclei in a small sample and

0:28:27.840 --> 0:28:30.440
<v Speaker 1>then multiply the number by the overall volume to get

0:28:30.480 --> 0:28:32.639
<v Speaker 1>the whole brain total of neurons. This is great. You

0:28:32.680 --> 0:28:35.320
<v Speaker 1>can't do this with a galaxy, can you, Like, you

0:28:35.359 --> 0:28:37.960
<v Speaker 1>can't just look at one section of a galaxy and say, okay,

0:28:38.000 --> 0:28:40.520
<v Speaker 1>now multiply that by the total area of the galaxy.

0:28:40.600 --> 0:28:44.000
<v Speaker 1>Because galaxies are not homogeneous. You would have to turn

0:28:44.040 --> 0:28:46.920
<v Speaker 1>it to soup first, which you cannot do or I

0:28:46.960 --> 0:28:48.959
<v Speaker 1>mean not on our scale. Anyway, you would have to

0:28:49.000 --> 0:28:51.840
<v Speaker 1>have godlike powers, and then you would destroy the universe.

0:28:52.000 --> 0:28:55.080
<v Speaker 1>Maybe that's how the world ends. That's their shrewd Ragnarock scenario.

0:28:55.640 --> 0:28:59.719
<v Speaker 1>As the god or god's asked the question, how many planets,

0:28:59.720 --> 0:29:02.560
<v Speaker 1>how many stars are kicking around this thing? Well, let's

0:29:02.560 --> 0:29:04.800
<v Speaker 1>turn it to soup and find out exactly, Loki says,

0:29:05.040 --> 0:29:07.200
<v Speaker 1>or you can't count the number of stars in the sky,

0:29:07.360 --> 0:29:10.400
<v Speaker 1>and he's like, watch me, Well this sounds this is

0:29:10.440 --> 0:29:13.040
<v Speaker 1>exactly the kind of gamble that that ancient gods would

0:29:13.080 --> 0:29:15.760
<v Speaker 1>get into. You know, um, just a mere bet and

0:29:15.880 --> 0:29:20.000
<v Speaker 1>everything for mortals is at stake, right, But anyway, or

0:29:20.080 --> 0:29:23.400
<v Speaker 1>Colono was not interested in that. She's interested in the brain.

0:29:23.480 --> 0:29:27.120
<v Speaker 1>So the main challenge with souping the brain was souping

0:29:27.160 --> 0:29:29.920
<v Speaker 1>it just enough to retain the cell nuclei, but without

0:29:29.920 --> 0:29:34.160
<v Speaker 1>breaking any of that down. Initial souping experiments via essentially

0:29:34.200 --> 0:29:37.600
<v Speaker 1>a detergent went too far and attempts to flash freeze

0:29:37.600 --> 0:29:40.480
<v Speaker 1>them with wickid N liquid nitrogen and then blend them. Well,

0:29:40.480 --> 0:29:42.240
<v Speaker 1>that just caused a cracked mess. And she says that

0:29:42.280 --> 0:29:44.720
<v Speaker 1>there were like frozen pieces of brain all over the place.

0:29:45.160 --> 0:29:47.640
<v Speaker 1>I think if anyone was going to taste her brain soup,

0:29:47.680 --> 0:29:49.720
<v Speaker 1>that was probably gonna be when it would have occurred.

0:29:50.680 --> 0:29:53.600
<v Speaker 1>But Anyway, then she found a solution fixing the brain

0:29:53.640 --> 0:29:56.520
<v Speaker 1>tissue with from all the eyed before the dissolving it.

0:29:56.560 --> 0:29:59.960
<v Speaker 1>And the result, she says again, looks like unfiltered apple

0:30:00.080 --> 0:30:02.720
<v Speaker 1>juice and allows this kind of count to take place. Right, So,

0:30:02.800 --> 0:30:05.520
<v Speaker 1>you can pull out a small sample, you know what

0:30:05.600 --> 0:30:08.400
<v Speaker 1>the volume of that is compared to the entire volume

0:30:08.400 --> 0:30:10.600
<v Speaker 1>of the sample, and then you count the number of

0:30:11.040 --> 0:30:14.160
<v Speaker 1>neuron nuclei in the small sample and then multiply that

0:30:14.200 --> 0:30:17.600
<v Speaker 1>by the total volume exactly. Okay, So I think I

0:30:17.640 --> 0:30:20.680
<v Speaker 1>mentioned earlier there's a TED talk she did in where

0:30:20.680 --> 0:30:23.720
<v Speaker 1>she shows off anyway. In the middle of this this

0:30:23.760 --> 0:30:26.200
<v Speaker 1>TED talk, she shows off a vial of this brain

0:30:26.240 --> 0:30:28.560
<v Speaker 1>soup on the stage. It's a little glass jar of

0:30:28.680 --> 0:30:30.720
<v Speaker 1>mouse brain souper. It might be plastic, I don't know.

0:30:30.880 --> 0:30:32.880
<v Speaker 1>It's a jar of mouse brain soup. It looks like

0:30:32.960 --> 0:30:35.400
<v Speaker 1>murky swamp water. It's kind of sort of like an

0:30:35.520 --> 0:30:38.400
<v Speaker 1>off beige kind of color. One of the best things

0:30:38.440 --> 0:30:41.320
<v Speaker 1>about this particular talk, though, is that when she shows

0:30:41.360 --> 0:30:43.560
<v Speaker 1>off the jar, she doesn't go and pick it up

0:30:43.560 --> 0:30:47.440
<v Speaker 1>from a table or demonstration stand or something. She's just

0:30:47.480 --> 0:30:49.600
<v Speaker 1>got it tucked into the back of her belt like

0:30:49.640 --> 0:30:53.720
<v Speaker 1>a gun just pulls it out, and then when she's

0:30:53.760 --> 0:30:56.400
<v Speaker 1>done showing it off, she just slips it right back

0:30:56.400 --> 0:30:58.480
<v Speaker 1>in under the belt. I mean, I guess it must

0:30:58.480 --> 0:31:00.840
<v Speaker 1>have been there all day. Well. You know, one of

0:31:00.880 --> 0:31:02.720
<v Speaker 1>the things that she pointed out in the talk is

0:31:02.760 --> 0:31:05.320
<v Speaker 1>that some when she started doing these experiments, some uh

0:31:05.520 --> 0:31:07.680
<v Speaker 1>people objected. They were like, what are you doing through

0:31:07.680 --> 0:31:11.040
<v Speaker 1>these precious brains, as if she were wasting brains, as

0:31:11.040 --> 0:31:14.080
<v Speaker 1>if she were essentially the dan ackroid character from it

0:31:14.120 --> 0:31:17.840
<v Speaker 1>came from Hollywood just you know, massacuring brain material. But

0:31:17.920 --> 0:31:19.920
<v Speaker 1>she pointed out that, you know, the aside from it

0:31:19.960 --> 0:31:23.280
<v Speaker 1>being highly useful, as they will explore the rest of

0:31:23.280 --> 0:31:26.680
<v Speaker 1>this episode, also they freeze it and so they can

0:31:26.720 --> 0:31:29.240
<v Speaker 1>save it for later. She says, she has a whole database.

0:31:29.400 --> 0:31:32.280
<v Speaker 1>The freezer is full of brain soup. I'm sure, all

0:31:32.280 --> 0:31:36.320
<v Speaker 1>properly labeled and dated. Yes, So what they did is, yeah,

0:31:36.360 --> 0:31:39.960
<v Speaker 1>they apply to fluorescent stain to differentiate the neurons from

0:31:39.960 --> 0:31:43.440
<v Speaker 1>other cells. And she started with rats and other rodents,

0:31:43.760 --> 0:31:47.440
<v Speaker 1>eventually working up to human brains, and eventually she had

0:31:47.480 --> 0:31:52.640
<v Speaker 1>a verified count not one billion neurons, but eighty six

0:31:52.680 --> 0:31:55.920
<v Speaker 1>billion neurons. Though apparently this can be higher as high

0:31:55.920 --> 0:31:58.160
<v Speaker 1>as say ninety one billion, for instance, but eighty six

0:31:58.200 --> 0:32:01.600
<v Speaker 1>billion is the like the ballpark account. That's uh, well,

0:32:01.640 --> 0:32:03.680
<v Speaker 1>that that doesn't seem too far off. I mean, that

0:32:03.720 --> 0:32:07.840
<v Speaker 1>seems within a rough order of magnitude level of reasonableness.

0:32:08.040 --> 0:32:10.720
<v Speaker 1>Well it does, and it doesn't like you know, she

0:32:10.800 --> 0:32:12.760
<v Speaker 1>points out that this may not may not sound like

0:32:12.880 --> 0:32:14.640
<v Speaker 1>much of a difference to a lot of us. And

0:32:14.640 --> 0:32:16.240
<v Speaker 1>I have to admit when I first heard it it,

0:32:16.320 --> 0:32:18.720
<v Speaker 1>I didn't really register that it was that much different

0:32:18.760 --> 0:32:21.959
<v Speaker 1>thundered billion verses six. It sounds like, all right, well,

0:32:22.160 --> 0:32:25.640
<v Speaker 1>we almost got it right. And uh, the thing is,

0:32:25.720 --> 0:32:29.640
<v Speaker 1>you know, she says that ten billion neurons is really

0:32:29.720 --> 0:32:32.840
<v Speaker 1>is not a small sum when it comes to neural change,

0:32:32.920 --> 0:32:36.360
<v Speaker 1>and when we're talking about the evolution of of of brains,

0:32:36.640 --> 0:32:39.760
<v Speaker 1>she says, the difference there is an entire baboon brain

0:32:39.880 --> 0:32:43.080
<v Speaker 1>and chain. So so yeah, that's a lot of neural

0:32:43.080 --> 0:32:46.440
<v Speaker 1>power we're talking about there, and to be off on

0:32:46.640 --> 0:32:50.720
<v Speaker 1>that can you know, can have consequences as well, explore

0:32:50.760 --> 0:32:53.280
<v Speaker 1>when we're talking about like what makes the human brain

0:32:53.640 --> 0:32:56.280
<v Speaker 1>seemingly special. Yeah, that that's interesting, I mean, and that's

0:32:56.320 --> 0:32:58.720
<v Speaker 1>where it ties into her larger theory about what it

0:32:58.920 --> 0:33:03.000
<v Speaker 1>is that special out human brains. So obviously, neuro anatomists

0:33:03.040 --> 0:33:05.840
<v Speaker 1>and other scientists have long debated this question, what makes

0:33:05.920 --> 0:33:09.080
<v Speaker 1>human brains unique? Why? Why are we the only ones

0:33:09.200 --> 0:33:13.360
<v Speaker 1>with computers? You know? Why don't rabbits have computers and

0:33:13.400 --> 0:33:16.760
<v Speaker 1>all that? Uh? And so what is the physical property

0:33:16.800 --> 0:33:19.560
<v Speaker 1>that gives the human brain its power? Is its size?

0:33:19.800 --> 0:33:22.560
<v Speaker 1>I mean that clearly doesn't make any sense because sperm

0:33:22.600 --> 0:33:25.640
<v Speaker 1>whales have brains there's something like, I think at least

0:33:25.640 --> 0:33:29.040
<v Speaker 1>six or seven times larger than human brains, and yet

0:33:29.080 --> 0:33:32.040
<v Speaker 1>they don't seem to be smarter than us. Likewise, the

0:33:32.080 --> 0:33:34.440
<v Speaker 1>elephant brain is much bigger and exactly and we're not

0:33:34.480 --> 0:33:38.120
<v Speaker 1>discounting the intelligence of whales and elephants, but but but

0:33:38.400 --> 0:33:42.080
<v Speaker 1>clearly their their neural power is not on the same

0:33:42.120 --> 0:33:44.880
<v Speaker 1>scale as as human power. And we have to ask

0:33:44.880 --> 0:33:47.600
<v Speaker 1>the question why, right, so we're able to do things

0:33:47.640 --> 0:33:50.440
<v Speaker 1>that they're not able to do. And is that difference

0:33:50.520 --> 0:33:53.760
<v Speaker 1>related to sheer size of the brain? Clearly not? Could

0:33:53.800 --> 0:33:56.160
<v Speaker 1>it be? Another thing that's often put forward is the

0:33:56.360 --> 0:34:00.120
<v Speaker 1>ratio of brain size to body size. Right? Uh, the

0:34:00.120 --> 0:34:03.800
<v Speaker 1>the encephialization quotation that actually doesn't seem to quite cover

0:34:03.880 --> 0:34:06.160
<v Speaker 1>it either. Right. So one of the things you pointed

0:34:06.200 --> 0:34:09.040
<v Speaker 1>out here is that we'll just consider a couple of

0:34:09.040 --> 0:34:13.520
<v Speaker 1>these neuron counts again, humans eighty six billion neurons, uh.

0:34:13.560 --> 0:34:16.040
<v Speaker 1>And then we have something like like a rat two

0:34:16.080 --> 0:34:20.000
<v Speaker 1>hundred million neurons uh. On a goody, which is a

0:34:20.000 --> 0:34:23.480
<v Speaker 1>South American like rather plump kind of critter, but it

0:34:23.600 --> 0:34:27.200
<v Speaker 1>is a rodent eight hundred fifty seven million neurons. Al

0:34:27.280 --> 0:34:31.120
<v Speaker 1>monkeys have a one thousand, four hundred sixty eight million neurons,

0:34:31.120 --> 0:34:34.279
<v Speaker 1>while a cappy bara again a rodent one thousand, six

0:34:34.360 --> 0:34:37.640
<v Speaker 1>hundred million neurons. Okay, so they're up into the billion range,

0:34:37.680 --> 0:34:42.080
<v Speaker 1>but the difference here is still orders of magnitude of difference, right.

0:34:42.160 --> 0:34:44.920
<v Speaker 1>And in her argument is like when you compare like

0:34:44.920 --> 0:34:49.840
<v Speaker 1>like sized rodents and primates the primate brains, uh, you know,

0:34:49.920 --> 0:34:52.640
<v Speaker 1>maybe the same size, but there are more neurons in

0:34:52.680 --> 0:34:55.640
<v Speaker 1>the more advanced primate brains. Right. So what seems to

0:34:55.640 --> 0:34:57.839
<v Speaker 1>be going on here is that it's not so much

0:34:57.880 --> 0:35:01.040
<v Speaker 1>that there's something really special about human brains, but there's

0:35:01.040 --> 0:35:05.839
<v Speaker 1>something special about primate brains. Primate the brains of monkeys

0:35:05.920 --> 0:35:09.239
<v Speaker 1>and apes, you know, the primate creatures like us, that

0:35:09.360 --> 0:35:14.399
<v Speaker 1>they have these densely packed neuron heavy cortex cortices. Yeah,

0:35:14.440 --> 0:35:16.400
<v Speaker 1>and then it comes down to concentration of urons. And

0:35:16.440 --> 0:35:19.200
<v Speaker 1>by the way, she also has found that birds have

0:35:19.360 --> 0:35:22.759
<v Speaker 1>primate like concentrations in the forebrain, which lines up with

0:35:22.800 --> 0:35:26.480
<v Speaker 1>the with their intelligence despite much smaller brains than other

0:35:26.520 --> 0:35:29.680
<v Speaker 1>intelligent animals. Yeah, we mentioned this before, but this really

0:35:29.680 --> 0:35:34.120
<v Speaker 1>comes through in the sometimes startling intelligence of birds like

0:35:34.160 --> 0:35:36.759
<v Speaker 1>Corvid's and parrots. Yeah. You look at a parrot, like,

0:35:36.760 --> 0:35:39.080
<v Speaker 1>how big is it's brain? Right, It's like, you know,

0:35:38.880 --> 0:35:42.160
<v Speaker 1>you you snack on nuts larger than this creature's brain,

0:35:42.239 --> 0:35:46.320
<v Speaker 1>and yet it has this startling intelligence about the efficiently

0:35:46.400 --> 0:35:51.240
<v Speaker 1>packed to the neuron crammed forebrain sort of like a primate. Yeah. Yeah. Meanwhile,

0:35:51.320 --> 0:35:54.040
<v Speaker 1>whale brain, you could climb inside of it and it's

0:35:54.719 --> 0:35:57.400
<v Speaker 1>and it's it's it's not quite there. All right. On

0:35:57.440 --> 0:35:58.960
<v Speaker 1>that note, we're gonna take a quick break, and when

0:35:58.960 --> 0:36:01.800
<v Speaker 1>we come back, we're gonna or more of Susanna or

0:36:01.840 --> 0:36:06.000
<v Speaker 1>colono Ozell's ideas about the human brain, how it is

0:36:06.080 --> 0:36:11.880
<v Speaker 1>evolved and whine has so many neurons than all right,

0:36:11.920 --> 0:36:15.919
<v Speaker 1>we're back, so more about brains, all right, So One

0:36:15.960 --> 0:36:20.680
<v Speaker 1>of the big take aways from Susanna or Colono Ozell's

0:36:20.760 --> 0:36:23.640
<v Speaker 1>work is that, of course a big brain doesn't necessarily

0:36:23.680 --> 0:36:27.120
<v Speaker 1>mean high levels of cognition. Again, it's more about the

0:36:27.200 --> 0:36:29.879
<v Speaker 1>neuron concentration. Yeah, this is what we were just talking

0:36:29.920 --> 0:36:32.480
<v Speaker 1>about with the fact that obviously, you know, like whales, elephants,

0:36:32.480 --> 0:36:34.960
<v Speaker 1>all these have much bigger brains than us. But there's

0:36:34.960 --> 0:36:37.200
<v Speaker 1>a lot that our brains seem able to do that

0:36:37.280 --> 0:36:40.560
<v Speaker 1>those brains can't. So it's not just size. There does

0:36:40.560 --> 0:36:44.520
<v Speaker 1>seem to be something special about the way that primate

0:36:44.760 --> 0:36:49.200
<v Speaker 1>brains are organized. And that's the thing, primate brains not

0:36:49.200 --> 0:36:53.480
<v Speaker 1>not just human brains, Because that's something that Orcolano Ozel

0:36:53.840 --> 0:36:57.560
<v Speaker 1>really drives home, is that the human brain is just

0:36:57.719 --> 0:37:01.200
<v Speaker 1>a scaled up primate brain. There's nothing special about the

0:37:01.280 --> 0:37:05.759
<v Speaker 1>human brain beyond that, nothing God touched or anything of

0:37:05.800 --> 0:37:08.080
<v Speaker 1>the sort. She says that this is very much in

0:37:08.160 --> 0:37:11.560
<v Speaker 1>line with what Darwin thought and was criticized for. Darwin

0:37:11.640 --> 0:37:15.200
<v Speaker 1>thought the human brain was just another primate brain, but

0:37:15.239 --> 0:37:17.240
<v Speaker 1>those who came after him, they often took their evolution

0:37:17.239 --> 0:37:21.040
<v Speaker 1>with a hefty dose of human exceptionalism. Wanting to think

0:37:21.080 --> 0:37:23.759
<v Speaker 1>about us is a special case that the rules of

0:37:23.800 --> 0:37:26.560
<v Speaker 1>life don't apply to like they apply to every other

0:37:26.600 --> 0:37:31.000
<v Speaker 1>animal on earth, right And likewise, Umsel says that she

0:37:31.120 --> 0:37:33.239
<v Speaker 1>faced resistance to a results due to the fact that

0:37:33.280 --> 0:37:36.480
<v Speaker 1>they didn't support this view of human brain exceptionalism versus

0:37:36.520 --> 0:37:39.720
<v Speaker 1>the brains of other primates. Again, it's just a scaled

0:37:39.800 --> 0:37:42.800
<v Speaker 1>up a scaled up primate brain, right. So her idea,

0:37:43.000 --> 0:37:46.480
<v Speaker 1>what she argues, is that what the human brain is,

0:37:46.960 --> 0:37:49.560
<v Speaker 1>you start with the primate brain, which primate brains, like

0:37:49.640 --> 0:37:53.360
<v Speaker 1>brains of monkeys and apes in general, are more crammed

0:37:53.360 --> 0:37:55.600
<v Speaker 1>with neurons than other types of brains in the animal

0:37:55.680 --> 0:37:58.160
<v Speaker 1>kingdom usually. And then you look at all the primates,

0:37:58.200 --> 0:38:01.680
<v Speaker 1>and humans have by far the guest primate brain. And

0:38:01.719 --> 0:38:04.920
<v Speaker 1>then because it's the biggest version of this densely packed

0:38:05.440 --> 0:38:10.200
<v Speaker 1>primate neuron housing center, we are the smartest. That's essentially

0:38:10.200 --> 0:38:12.760
<v Speaker 1>what makes us the smartest. And we'll get into why

0:38:12.800 --> 0:38:15.640
<v Speaker 1>this seems to be the case and why um the

0:38:15.640 --> 0:38:19.600
<v Speaker 1>the argument that Susanna rocol Hosel makes for it as well. Uh,

0:38:19.640 --> 0:38:21.120
<v Speaker 1>But before we do that, I want to I want

0:38:21.160 --> 0:38:23.120
<v Speaker 1>to touch base in another area that she lines up

0:38:23.120 --> 0:38:25.520
<v Speaker 1>with all of this, and that is the subject of

0:38:25.600 --> 0:38:30.840
<v Speaker 1>longevity in warm blooded vertebrates anyway, um, because it seems

0:38:31.040 --> 0:38:33.759
<v Speaker 1>to be the case that neurons are more important than

0:38:33.800 --> 0:38:37.560
<v Speaker 1>body size here as well. So in two thousand eighteen,

0:38:37.600 --> 0:38:41.160
<v Speaker 1>research that was published in the Journal of Comparative Neurology

0:38:41.800 --> 0:38:46.160
<v Speaker 1>UM Rocolno Mozel and co authors found that in primates, birds,

0:38:46.160 --> 0:38:48.960
<v Speaker 1>and other warm blooded creatures, the number of neurons that

0:38:49.040 --> 0:38:51.400
<v Speaker 1>you have in the core in the cortex of a

0:38:51.480 --> 0:38:56.000
<v Speaker 1>species predicts about seventy five of all the variation in

0:38:56.040 --> 0:39:00.520
<v Speaker 1>the longevity across species. Body size and metabolism the usual

0:39:00.520 --> 0:39:02.319
<v Speaker 1>standard because usually that's what we think of, right. An

0:39:02.320 --> 0:39:05.680
<v Speaker 1>elephant lives a while it's big, whales oft a while big. Right,

0:39:06.440 --> 0:39:11.399
<v Speaker 1>She says that this only predicts around tw of of

0:39:11.400 --> 0:39:15.120
<v Speaker 1>of the cases of longevity. And here's another slice of

0:39:15.320 --> 0:39:18.720
<v Speaker 1>enough human non exceptionalism. If you do the math, she says,

0:39:18.760 --> 0:39:21.160
<v Speaker 1>this means that humans live about as long as you

0:39:21.680 --> 0:39:26.000
<v Speaker 1>expect based on their neuron load. In this particular brain

0:39:26.040 --> 0:39:29.880
<v Speaker 1>soup study examined more than seven hundred warm blooded animal species.

0:39:30.120 --> 0:39:33.520
<v Speaker 1>I want to see a list of those soups flavors. Yes,

0:39:33.560 --> 0:39:38.080
<v Speaker 1>the sou menu is it's quite extensive. At her lap now,

0:39:38.160 --> 0:39:40.720
<v Speaker 1>why is there a connection between neurons and the cerebral

0:39:40.800 --> 0:39:43.720
<v Speaker 1>cortex and longevity. Well, she says more work is required

0:39:43.719 --> 0:39:45.520
<v Speaker 1>to figure this out, but she does have some ideas,

0:39:45.560 --> 0:39:47.279
<v Speaker 1>and here's what she said in a press release on

0:39:47.320 --> 0:39:51.880
<v Speaker 1>the paper from quote. The data suggests the warm blooded

0:39:51.920 --> 0:39:55.200
<v Speaker 1>species accumulate damages at the same rate as they age,

0:39:55.280 --> 0:39:58.400
<v Speaker 1>But what curtails life are damages to the cerebral cortex,

0:39:58.640 --> 0:40:01.360
<v Speaker 1>not the rest of the body. The more cortical neurons

0:40:01.360 --> 0:40:03.040
<v Speaker 1>you have, the longer you will still have enough to

0:40:03.120 --> 0:40:05.799
<v Speaker 1>keep your body functional. The cortex is the part of

0:40:05.840 --> 0:40:08.759
<v Speaker 1>your brain that is capable of making our behavior complex

0:40:08.760 --> 0:40:11.960
<v Speaker 1>and flexible. Yes, but that extends well beyond cognition and

0:40:12.040 --> 0:40:15.799
<v Speaker 1>doing mental math and logic reasoning. The cerebrial cortex also

0:40:15.880 --> 0:40:19.319
<v Speaker 1>gives your body adaptability as it adjusts and learns how

0:40:19.360 --> 0:40:22.440
<v Speaker 1>to react to stresses and predicts them. That includes keeping

0:40:22.520 --> 0:40:26.000
<v Speaker 1>your physiological functions running smoothly and making sure your heart rate,

0:40:26.080 --> 0:40:29.359
<v Speaker 1>your respiratory rate, and your metabolism are on track with

0:40:29.400 --> 0:40:32.799
<v Speaker 1>what you're doing and how you feel uh and with

0:40:32.880 --> 0:40:35.799
<v Speaker 1>what you expect to happen next. And that apparently is

0:40:35.840 --> 0:40:39.880
<v Speaker 1>a key factor that impacts longevity. Fascinating. Yeah, so I

0:40:39.920 --> 0:40:43.200
<v Speaker 1>love how already just this this concept of of brain,

0:40:43.480 --> 0:40:45.839
<v Speaker 1>not this concept of brain soup, but this tool of

0:40:45.920 --> 0:40:49.600
<v Speaker 1>making brain soup. It already you know, is turning certain

0:40:49.640 --> 0:40:52.640
<v Speaker 1>things that uh we used to think we knew about

0:40:53.040 --> 0:40:55.239
<v Speaker 1>brains and the human brain and how it's different from

0:40:55.239 --> 0:40:58.600
<v Speaker 1>other animals and indeed how how other animals think, turning

0:40:58.600 --> 0:41:00.640
<v Speaker 1>all of that on its head and us another way

0:41:00.640 --> 0:41:04.200
<v Speaker 1>of thinking about it. Yeah. So one thing that this would, obviously,

0:41:04.320 --> 0:41:07.960
<v Speaker 1>I think, have somebody wondering about, is, Okay, if if

0:41:08.040 --> 0:41:12.040
<v Speaker 1>humans are the upper end of the primate brain, you know,

0:41:12.080 --> 0:41:14.640
<v Speaker 1>with your neuronal loads, you've got a lot of neurons

0:41:14.640 --> 0:41:16.959
<v Speaker 1>in the human human brain, how did we get that way?

0:41:17.600 --> 0:41:19.680
<v Speaker 1>Does it happened? Because again, we can't go with any

0:41:19.760 --> 0:41:24.320
<v Speaker 1>mythic interpretation here, whether there's no ancient alien or gods

0:41:24.320 --> 0:41:28.480
<v Speaker 1>scenario where where the this particular primate was was touched

0:41:28.560 --> 0:41:30.680
<v Speaker 1>and made special. No, we we need to look to

0:41:30.800 --> 0:41:35.319
<v Speaker 1>something in the natural world, something that that that explains

0:41:35.320 --> 0:41:38.640
<v Speaker 1>this or like rapid growth of the brain, and uh

0:41:38.800 --> 0:41:43.880
<v Speaker 1>Erculano Uzel's hypothesis has to do with straightforward energy economy,

0:41:43.960 --> 0:41:47.160
<v Speaker 1>the energy that different species are able to take into

0:41:47.200 --> 0:41:49.239
<v Speaker 1>their bodies. Right. She says that she thinks it all

0:41:49.280 --> 0:41:52.640
<v Speaker 1>comes down to the calories and mass via a very

0:41:52.719 --> 0:41:57.879
<v Speaker 1>early technological development that our ancestors made, that being cooking. Now,

0:41:57.920 --> 0:42:00.920
<v Speaker 1>this is an interesting hypothesis. I like this. Yeah, we know,

0:42:01.000 --> 0:42:04.200
<v Speaker 1>we've discussed the essential role that cooking played in human

0:42:04.239 --> 0:42:09.719
<v Speaker 1>advancement before. How it externalized. Digestion allows you to uh,

0:42:09.880 --> 0:42:12.040
<v Speaker 1>sort of to you know, heat up this pod or

0:42:12.200 --> 0:42:14.239
<v Speaker 1>not even necessarily a pod, just you know, a pit

0:42:14.400 --> 0:42:21.080
<v Speaker 1>with fire even and partially digest various organic matter before

0:42:21.400 --> 0:42:24.880
<v Speaker 1>you give your own digestions, a digestive system a shot

0:42:24.920 --> 0:42:27.799
<v Speaker 1>at it. This makes it easier to digest you know

0:42:28.080 --> 0:42:31.920
<v Speaker 1>a lot of foods that would be impossible or difficult

0:42:31.920 --> 0:42:36.120
<v Speaker 1>to consume otherwise, either because of their chemical components, or

0:42:36.160 --> 0:42:38.960
<v Speaker 1>maybe they're just tough they're hard to chew, or or

0:42:39.400 --> 0:42:41.680
<v Speaker 1>or they can't be chewed and cooking can make them softer,

0:42:41.800 --> 0:42:45.160
<v Speaker 1>and of course just speed up overall digestion. Yeah, it

0:42:45.239 --> 0:42:47.960
<v Speaker 1>just gives your digestive system much more access to the

0:42:48.040 --> 0:42:52.080
<v Speaker 1>nutrients inside through a variety of means. Yeah. Because and

0:42:52.120 --> 0:42:55.640
<v Speaker 1>this ties into neurons, because neurons require energy, a lot

0:42:55.680 --> 0:42:58.239
<v Speaker 1>of energy actually, Yeah, and the more neurons you have

0:42:58.320 --> 0:43:02.359
<v Speaker 1>and the more energy you require fire to charge them up. Like,

0:43:02.440 --> 0:43:05.719
<v Speaker 1>your brain consumes energy at a rate that is not

0:43:05.880 --> 0:43:09.160
<v Speaker 1>proportional to its size relative to the rest of your body.

0:43:09.200 --> 0:43:12.719
<v Speaker 1>It is the the great energy hog of your body. Yeah,

0:43:12.719 --> 0:43:17.200
<v Speaker 1>we're talking. Neurons require six kilo calories per billion neurons

0:43:17.200 --> 0:43:21.800
<v Speaker 1>per day, so um urkileno. Ozell points out that the

0:43:21.880 --> 0:43:27.000
<v Speaker 1>human brain costs on average five kilo calories per day, so,

0:43:27.200 --> 0:43:31.319
<v Speaker 1>in her words, not quite a whole hamburger. But but

0:43:31.360 --> 0:43:33.720
<v Speaker 1>I mean, when you think about that in terms of food,

0:43:33.840 --> 0:43:36.240
<v Speaker 1>the types of calories you can acquire in the wild,

0:43:36.680 --> 0:43:40.359
<v Speaker 1>without grains, without access to easy meat and all that,

0:43:40.360 --> 0:43:43.600
<v Speaker 1>that that's that's a tough requirement. Yeah, let's take a

0:43:43.600 --> 0:43:47.920
<v Speaker 1>moment to just realize how how, how how amazing the

0:43:47.960 --> 0:43:50.440
<v Speaker 1>hamburger is. I mean, and just in terms of like

0:43:50.480 --> 0:43:55.160
<v Speaker 1>how much uh, you know, protein and potential nutrition is

0:43:55.200 --> 0:43:57.440
<v Speaker 1>just jammed into that thing. There's a lot of energy

0:43:57.480 --> 0:44:00.279
<v Speaker 1>in the hamburger, like it or not. And we you know,

0:44:00.480 --> 0:44:02.879
<v Speaker 1>we take for granted, you know what a robust chunk

0:44:02.920 --> 0:44:05.080
<v Speaker 1>of energy that is. And if we had and if

0:44:05.120 --> 0:44:07.000
<v Speaker 1>we had we didn't have the hamburger, and of course

0:44:07.040 --> 0:44:09.040
<v Speaker 1>all the things that are comparable to the hamburger and

0:44:09.400 --> 0:44:12.880
<v Speaker 1>modern culinary tradition. And if we didn't have that to

0:44:12.880 --> 0:44:15.000
<v Speaker 1>to eat, if we had to eat like our primate

0:44:15.040 --> 0:44:20.120
<v Speaker 1>brethren did and still do without cooking and modern food. Uh.

0:44:20.280 --> 0:44:22.520
<v Speaker 1>She points out that we'd have to spend nine point

0:44:22.600 --> 0:44:25.640
<v Speaker 1>five hours every day eating so instead of so you're

0:44:25.640 --> 0:44:28.360
<v Speaker 1>just eating like raw vegetable matter most all that you

0:44:28.880 --> 0:44:31.000
<v Speaker 1>like a lot of animals do in the world. If you,

0:44:31.200 --> 0:44:33.719
<v Speaker 1>if you like, like we do, watch a lot of documentaries,

0:44:33.920 --> 0:44:37.680
<v Speaker 1>you'll frequently encounter, uh, you know, some an animal or

0:44:37.680 --> 0:44:40.439
<v Speaker 1>another of panda, and you're like, oh, all it does

0:44:40.520 --> 0:44:42.799
<v Speaker 1>is eat because it has to. It has to eat

0:44:42.880 --> 0:44:46.560
<v Speaker 1>all the time, you know, to maintain um uh, this

0:44:46.560 --> 0:44:48.960
<v Speaker 1>this body and ultimately it's brain as well. But of

0:44:49.000 --> 0:44:53.120
<v Speaker 1>course our brain again has tremendous energy requirements. It only

0:44:53.160 --> 0:44:55.360
<v Speaker 1>makes up two percent of our body, but it requires

0:44:55.400 --> 0:44:58.880
<v Speaker 1>twenty five of the body's energy. So that five calorie

0:44:58.880 --> 0:45:01.080
<v Speaker 1>burger is just part of a two thousand calorie per

0:45:01.160 --> 0:45:06.720
<v Speaker 1>day diet. So kolona Ozel contends that without cooking, we'd

0:45:06.719 --> 0:45:09.720
<v Speaker 1>be in the same state we'd evolved to one point

0:45:09.719 --> 0:45:13.520
<v Speaker 1>five million years ago, we'd be small primates with essentially

0:45:13.560 --> 0:45:16.200
<v Speaker 1>the brain power of a modern guerrilla, but with some

0:45:16.280 --> 0:45:19.879
<v Speaker 1>stone tool making abilities. This is kind of encouraging as

0:45:19.920 --> 0:45:23.160
<v Speaker 1>a as a hypothesis for people who love cooking kitchen

0:45:23.360 --> 0:45:27.840
<v Speaker 1>culinary enthusiasts. You you may well be taking part in

0:45:28.080 --> 0:45:31.759
<v Speaker 1>the most crucially human of all activities. Yeah, and I

0:45:31.800 --> 0:45:34.760
<v Speaker 1>believe that Michael Pollen has made a very very similar

0:45:34.800 --> 0:45:37.239
<v Speaker 1>argument before in terms of like why we we we

0:45:37.320 --> 0:45:39.560
<v Speaker 1>love cooking, and why even if we don't cook, we're

0:45:39.640 --> 0:45:42.799
<v Speaker 1>drawn to the myriad cooking shows that are out there.

0:45:43.200 --> 0:45:44.960
<v Speaker 1>You know, we want to watch somebody cook, We want

0:45:44.960 --> 0:45:48.520
<v Speaker 1>to learn about about different culinaries, traditions, and even for

0:45:48.600 --> 0:45:50.360
<v Speaker 1>my own part, I've never been much of a chef.

0:45:51.000 --> 0:45:54.319
<v Speaker 1>I am not much of a chef either, but I've

0:45:54.320 --> 0:45:56.799
<v Speaker 1>been enjoying some of these various like meal box things

0:45:56.840 --> 0:46:00.600
<v Speaker 1>recently and it's teaching me some of like the basics

0:46:00.719 --> 0:46:04.239
<v Speaker 1>of cooking. And you know, I'll still curse at a tomato,

0:46:04.560 --> 0:46:08.360
<v Speaker 1>but there's something fulfilling about going through all the instructions

0:46:08.360 --> 0:46:13.080
<v Speaker 1>and in turning this sack of raw materials into a

0:46:13.120 --> 0:46:17.319
<v Speaker 1>delicious meal. Well, Uh, tomatoes are tricky devils. That can

0:46:17.400 --> 0:46:22.080
<v Speaker 1>be seriously, I there, they're at both ends of my

0:46:22.280 --> 0:46:25.240
<v Speaker 1>you know, food love and hate spectrum. Basically, my favorite

0:46:25.239 --> 0:46:28.880
<v Speaker 1>food in the entire world is a really good ripe

0:46:29.000 --> 0:46:32.919
<v Speaker 1>summer tomato, and my least favorite food in the entire

0:46:33.000 --> 0:46:36.000
<v Speaker 1>world is like a mealy white winter tomato. It's the

0:46:36.040 --> 0:46:38.759
<v Speaker 1>worst thing on earth. Yeah, it's there's It's kind of

0:46:38.760 --> 0:46:41.000
<v Speaker 1>I feel a similar way with cantalope, Like, there are

0:46:41.040 --> 0:46:43.600
<v Speaker 1>a lot of mediocre cantle loopes out there, and if

0:46:43.640 --> 0:46:45.799
<v Speaker 1>you have one, you could easily turn your back on

0:46:45.880 --> 0:46:48.400
<v Speaker 1>cantal loops forever. But when you have like a really

0:46:48.400 --> 0:46:51.680
<v Speaker 1>good cantlelope, there's nothing else that can beat it. Well,

0:46:51.680 --> 0:46:54.600
<v Speaker 1>it's funny we talked about these extremes that agriculturally produced

0:46:55.120 --> 0:46:59.000
<v Speaker 1>fruits and vegetables. Arcleanoz l points out in somewhere I

0:46:59.080 --> 0:47:01.560
<v Speaker 1>was reading or one of her talks, I think where

0:47:01.600 --> 0:47:03.200
<v Speaker 1>she says, you know, it's kind of funny that the

0:47:03.239 --> 0:47:06.319
<v Speaker 1>inherent logic of of what she's showing here is even

0:47:06.360 --> 0:47:10.200
<v Speaker 1>there in some of the diet trends where like what

0:47:10.239 --> 0:47:12.480
<v Speaker 1>do people do when they want to lose weight? Well,

0:47:12.520 --> 0:47:15.240
<v Speaker 1>one popular thing is the raw food diet, because suddenly

0:47:15.239 --> 0:47:18.759
<v Speaker 1>you're condemning yourself to a forging type existence without you know,

0:47:18.840 --> 0:47:24.200
<v Speaker 1>without the calorie benefits of cooked food. Yeah, exactly, but

0:47:24.200 --> 0:47:27.600
<v Speaker 1>but cook But cooking food is something we did develop again,

0:47:27.600 --> 0:47:30.399
<v Speaker 1>and that was roughly one point five million years ago. Um.

0:47:30.480 --> 0:47:33.440
<v Speaker 1>And this is the key technology, she says. It changed

0:47:34.000 --> 0:47:36.799
<v Speaker 1>what was possible energy wise for the evolving brain. Our

0:47:36.840 --> 0:47:39.839
<v Speaker 1>brains got big in a hurry after this, and our

0:47:39.880 --> 0:47:43.000
<v Speaker 1>food technology, of course, continued to evolve, most notably via

0:47:43.040 --> 0:47:47.720
<v Speaker 1>the agricultural revolution. Definitely. I mean that the history of

0:47:47.719 --> 0:47:51.759
<v Speaker 1>of of human civilization is the history of our manipulation

0:47:51.800 --> 0:47:54.600
<v Speaker 1>of food really and our stockpiling of food, and then

0:47:54.640 --> 0:47:57.160
<v Speaker 1>our trade of food and our wars for food. So

0:47:57.440 --> 0:48:02.200
<v Speaker 1>we are using research that makes use of the brain

0:48:02.320 --> 0:48:08.160
<v Speaker 1>soup technique to discover the possibility to discover how important

0:48:08.239 --> 0:48:11.920
<v Speaker 1>the invention of literal soup might have been. Yeah. I

0:48:11.960 --> 0:48:15.680
<v Speaker 1>love the cyclical nature of this particular episode. We started

0:48:15.680 --> 0:48:18.279
<v Speaker 1>with with the brain soup and we came back to

0:48:18.320 --> 0:48:23.720
<v Speaker 1>brain soup. It's glorious, Okay. Introducing a new show segment,

0:48:23.920 --> 0:48:28.479
<v Speaker 1>Soup Facts, Soup Facts Facts with Joe McCornick. Here's something

0:48:28.560 --> 0:48:30.680
<v Speaker 1>if you're ever trying to figure out how much to

0:48:30.840 --> 0:48:33.000
<v Speaker 1>season your soup. You know, you don't want it to

0:48:33.000 --> 0:48:35.480
<v Speaker 1>be too salty, of course, but you also don't want

0:48:35.480 --> 0:48:37.720
<v Speaker 1>to underseason. And how much salt should go in a soup.

0:48:38.000 --> 0:48:40.680
<v Speaker 1>The best way to figure that out is to get

0:48:40.719 --> 0:48:43.879
<v Speaker 1>the soup to the temperature that you plan to serve

0:48:43.920 --> 0:48:46.680
<v Speaker 1>it at, and then taste and see how much salt

0:48:46.680 --> 0:48:48.799
<v Speaker 1>it needs there. Because the amount of salt that we

0:48:48.840 --> 0:48:52.480
<v Speaker 1>can taste when we taste something for seasoning varies drastically

0:48:52.560 --> 0:48:55.640
<v Speaker 1>depending on what temperature the food is at. So you

0:48:55.760 --> 0:48:58.319
<v Speaker 1>might you might taste it and it tastes like it

0:48:58.360 --> 0:49:01.399
<v Speaker 1>needs more salt, or it already has enough salt at

0:49:01.400 --> 0:49:05.520
<v Speaker 1>one temperature, but in a different temperature might taste totally different. Interesting,

0:49:05.719 --> 0:49:07.600
<v Speaker 1>I hadn't thought about that. I will use that the

0:49:07.680 --> 0:49:10.800
<v Speaker 1>next time. I'm I'm, I'm following instructions from a box

0:49:10.840 --> 0:49:14.400
<v Speaker 1>and have the mix soup all right. Another place I

0:49:14.440 --> 0:49:17.399
<v Speaker 1>always mess up with salt is with with pasta. If

0:49:17.440 --> 0:49:21.080
<v Speaker 1>I'm boiling pasta like I keep putting into little soup,

0:49:21.120 --> 0:49:24.600
<v Speaker 1>like I'm so afraid of oversalting something. Well, then i'm i'm,

0:49:25.080 --> 0:49:26.759
<v Speaker 1>and then my my wife will come in and say, oh,

0:49:26.800 --> 0:49:28.520
<v Speaker 1>then you're supposed to be throwing like a whole fistful

0:49:28.520 --> 0:49:31.120
<v Speaker 1>assault in there. Basically, it's a reasonable concern. I mean,

0:49:31.600 --> 0:49:34.080
<v Speaker 1>you can if you under salt something, you can always

0:49:34.120 --> 0:49:36.920
<v Speaker 1>add more. But if you over salt, you can't take

0:49:36.920 --> 0:49:38.920
<v Speaker 1>it out right. Well, you know, I think back to

0:49:39.040 --> 0:49:41.120
<v Speaker 1>the cocktail scenario, like if I mix up, if I

0:49:41.120 --> 0:49:43.160
<v Speaker 1>mess up a cocktail to the point where I can't

0:49:43.200 --> 0:49:47.360
<v Speaker 1>fix it, um, then I've wasted like two drinks, you know.

0:49:47.719 --> 0:49:50.200
<v Speaker 1>But if I do that with a super stew and

0:49:50.239 --> 0:49:52.600
<v Speaker 1>I've ruined dinner, like I have to then go and

0:49:52.640 --> 0:49:54.600
<v Speaker 1>get a pizza or something, and I've wasted all of

0:49:54.640 --> 0:49:57.279
<v Speaker 1>these resources. And you know, the most heartbreaking thing you

0:49:57.280 --> 0:50:00.080
<v Speaker 1>can do is have to potentially throw food away. And

0:50:00.360 --> 0:50:02.839
<v Speaker 1>I have, I have got I have over salted things

0:50:02.920 --> 0:50:05.359
<v Speaker 1>in the past to that point, you know where it's

0:50:05.400 --> 0:50:08.399
<v Speaker 1>just basically inedible. There was some recipe where I had

0:50:08.400 --> 0:50:10.520
<v Speaker 1>to and this was like a box meal years ago

0:50:10.600 --> 0:50:12.879
<v Speaker 1>when I was first figuring it out, and I had

0:50:12.920 --> 0:50:14.400
<v Speaker 1>like a thing of salt and a thing of sugar,

0:50:14.440 --> 0:50:16.719
<v Speaker 1>and the sugar went into one component salting the other

0:50:17.520 --> 0:50:20.960
<v Speaker 1>flipped them which made like a pretty sweet cole slab

0:50:21.000 --> 0:50:23.120
<v Speaker 1>that also just did whatever the other thing was was

0:50:23.400 --> 0:50:28.040
<v Speaker 1>just inedible. No, that's a sad story, all right, So

0:50:28.080 --> 0:50:31.880
<v Speaker 1>I guess we're gonna leave it there. Uh again Susannah

0:50:31.960 --> 0:50:36.440
<v Speaker 1>Roclinol wonderful science communicator. Uh look her up. She's all

0:50:36.480 --> 0:50:39.600
<v Speaker 1>over the internet. You can find her ted talk readily easily,

0:50:40.000 --> 0:50:42.319
<v Speaker 1>and they're also various interviews with her. And then of

0:50:42.360 --> 0:50:45.359
<v Speaker 1>course the scientific papers are out there to look at

0:50:45.440 --> 0:50:49.160
<v Speaker 1>as well. Uh. So also thanks to the World Science

0:50:49.200 --> 0:50:52.239
<v Speaker 1>Festival um for letting me attend and uh and you know,

0:50:52.320 --> 0:50:54.480
<v Speaker 1>taking in all of this data. Look at the World

0:50:54.560 --> 0:50:58.240
<v Speaker 1>Science Festival as well. Uh. They have a wonderful YouTube page.

0:50:58.400 --> 0:51:00.839
<v Speaker 1>They'll put a lot of these talks up um, you know,

0:51:01.120 --> 0:51:04.760
<v Speaker 1>over the course of the weeks and months ahead moving

0:51:04.760 --> 0:51:06.799
<v Speaker 1>into next year. And in the meantime, if you want

0:51:06.800 --> 0:51:08.799
<v Speaker 1>to check out more episodes of Stuff to Blow your Mind,

0:51:08.800 --> 0:51:10.399
<v Speaker 1>head on over to Stuff to Blow your Mind dot com.

0:51:10.400 --> 0:51:12.040
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0:51:12.280 --> 0:51:14.960
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0:51:15.000 --> 0:51:17.279
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0:51:17.320 --> 0:51:19.560
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0:51:23.719 --> 0:51:25.839
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0:51:32.080 --> 0:51:35.879
<v Speaker 1>as always to our excellent audio producer, Tari Harrison. If

0:51:35.880 --> 0:51:37.360
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0:51:37.480 --> 0:51:40.000
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0:51:40.080 --> 0:51:42.120
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0:51:42.480 --> 0:51:44.799
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0:51:57.760 --> 0:51:59.319
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