WEBVTT

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Welcome back to the deep dive. Today, we are

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starting with a word that, I mean, it defines

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so much of our world, our education system, our

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technology. And right now, especially, the AI

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revolution, that word is intelligence. It's the

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standard we use for everything, measuring capability,

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progress, sometimes even human worth. But what

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if I told you that the very foundation of how

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we've traditionally defined it, you know, as

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this single, quantifiable thing, what if that

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whole idea is fundamentally flawed? I mean, not

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just flawed, but academically rejected and historically

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just a social disaster. disaster. You've brought

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us some really fascinating sources today, all

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diving deep into this powerful critique from

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the evolutionary biologist Stephen Jay Gould,

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especially the arguments he laid out in his book,

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The Mismeasure of Man. And this isn't some minor

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critique, is it? It's a full -on rejection of

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a concept that has haunted us for over a century.

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Let's unpack this. Our mission for this deep

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dive is to look at six specific characteristics

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of intelligence, the core assumptions that Gould

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says we just have to reject, and to understand

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why these flawed ideas are, well, still causing

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so many problems today. What's fascinating here

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is just how ambitious the original project was.

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If you go back to the early 20th century, psychology

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was trying really hard to be seen as a hard science.

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Like physics. Exactly, like physics or chemistry.

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They weren't just looking for theories. They

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wanted objective, quantifiable laws to describe

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how the brain worked, almost like measuring gravity.

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And this wasn't just some academic exercise in

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an ivory tower. No. These scholars were actively

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pushing for public policies. We're talking educational

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tracking, immigration laws, social engineering,

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all based on these numbers they were trying to

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define. So the stakes were incredibly high from

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the very beginning. Immense. And our sources

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really stress that even though careful modern

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study has pretty much rejected the philosophical

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basis of these tests, the shadows of those old

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ideas are definitely still with us. And Gould

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just starts his demolition right at the root

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of the whole thing. He says the first mistake.

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The philosophical one that underpins everything

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was how we started treating intelligence, not

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as a set of skills or processes, but as a singular,

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measurable object. So his first point to reject

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is this idea of intelligence as a single, unitary,

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abstractable entity, this sort of central stuff.

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Right. And he had a specific philosophical term

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for this mistake. Reification. Reification. Yeah.

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And it's key to understanding this whole trap.

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It's when you take an abstract concept. something

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like cleverness or competence. And you wrongly

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turn it into a concrete thing, a hard entity

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that you think exists physically and can be measured,

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like your height or weight. So it's mistaking

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a process for a physical part. Like a mental

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organ. Precisely. It's like trying to define

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courage and saying, OK, we need to find the courage

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muscle in the brain. Right. And if that muscle

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is bigger, you're just more courageous. Gould

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insisted intelligence isn't like that. He said

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it was richly multiple and independent. There's

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no single well that all your abilities draw from.

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OK. So if you believe it's a single thing, the

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logical next step is to assume it has to be located

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somewhere. Exactly. Which brings us to the second

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characteristic we have to reject. And it flows

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right from reunification. the belief that this

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central stuff must have a physical location in

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the brain and The main scientific tool they used

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to justify this was something called factor analysis.

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Okay, it's a complex statistical method but basically

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psychologists like Charles Spearman used it to

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argue that if different mental tasks like memory

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logic patterns If they all seem to correlate,

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then there must be one single thing causing it.

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Right. A single underlying general ability. Spearman

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called it G for general intelligence. And G was

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held up as the scientific proof that there really

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was this unitary thing in the head. So factor

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analysis didn't actually find the thing. It was

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a statistical method they used to create a score.

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And then they made the philosophical leap to

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say that score represented a real physical thing.

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That's the crucial distinction. Yes. OK. So now

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you believe this central stuff exists. It's somewhere

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in the brain. The next impulse, obviously, is

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to measure it, put a number on it. And this gives

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us the third rejected characteristic, the belief

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that all that complexity can be boiled down to

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one number for each individual. Which we all

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know is the IQ score. Right. And here's where

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the story gets really interesting. Because the

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man who invented the first scale, Alfred Binet,

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was just trying to solve a practical problem.

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This was in France, right, with school children.

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Exactly. He wanted a way to identify kids who

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needed extra help in school, specifically to

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help them catch up. Our source material is very

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clear on this. Benet himself explicitly denied

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that his test could measure the intelligence

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as a single quantity. So he didn't even believe

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in his own test and the way it was later used.

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He saw it as a diagnostic tool. a rough guide

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for intervention. He said it was not a lifetime

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brand of a person's worth. For him, a low score

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was a starting point for help, not a final judgment.

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Wow. So Benet himself warned everyone against

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the exact misuse that became, well, rampant almost

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immediately. Especially in America. The next

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generation of psychologists just stripped all

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that nuance away. And that transition from a

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tool to a label. That leads us straight to the

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fourth characteristic Gould rejects. And this

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one is maybe the most socially devastating. The

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use of that single number to rank people in a

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single series of worthiness. This is where the

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academic error meets real -world cruelty. Once

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you accept that a single number defines a person,

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you are forced into this massive, brutal simplification

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of reality. A dichotomization, as the sources

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call it. Yes. Suddenly, complex individuals,

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each with their own unique profile of strengths

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and weaknesses, are just flattened into smart

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and stupid, or normal versus feeble -minded.

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And the consequences were huge. Immediate and

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massive. This ranking system was seized by policymakers.

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It gave a kind of pseudo -scientific justification

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for their own prejudices. The score became a

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weapon. To justify the status quo. Absolutely.

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The sources we looked at are explicit. The ranking

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was invoked constantly to argue that oppressed

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and disadvantaged groups, races, classes, or

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sexes are innately inferior and deserve their

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status. It was the intellectual engine of the

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eugenics movement. That immigration restrictions

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segregation all of it was propped up by this

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idea of a single ranked number. Which provides

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a chillingly perfect bridge to the next point

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because for those rankings to mean anything for

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social policy they had to be seen as permanent.

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So the fifth rejected characteristic is the belief

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that intelligence is innate, inherited, and almost

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entirely fixed by your genetics. And the conviction

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they had is just, it's astounding to look back

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on. You have figures like H .H. Goddard who brought

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the Binet scale to the U .S. He literally argued

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that intelligence was a unitary mental process,

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conditioned by a nervous mechanism, which is

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inborn. He even suggested it might be a single

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gene. A single gene for all of intelligence.

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A single gene. undoubtedly recessive to normal

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intelligence. That's a direct quote. And that

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thinking was everywhere. Lewis Turman, who developed

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the Stanford -Binet IQ test, that became the

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standard, he argued for the relatively greater

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importance of endowment over training. He saw

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disparities between groups and just concluded

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it must be innate genetic inferiority. It wasn't

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looking at environment or opportunity or history.

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Not at all. The test score was proof enough for

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him. And you can't forget someone like Cyril

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Byrd, who for decades was a giant in the field

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arguing for what he called innate general cognitive

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ability. Even though his data was later discredited.

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Yes, but the damage was done. The core belief

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that this single measurable thing is mostly genetic,

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that became the dominant and I'd say toxic idea

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in the field for decades. OK, so if it's innate

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and it's genetic, then it has to be unchangeable.

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inescapable, which is the sixth and final point

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we have to reject. The belief that intelligence

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is a fixed quantity that can't be increased,

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that it's but little affected by any later influences

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like education or environment. Right. And the

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consequence of that belief is just total fatalism.

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Why bother trying to improve education for certain

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groups? Why invest in social programs if their

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rank is fixed at birth? This is where Gould really

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brings the hammer down, isn't it? Oh, absolutely.

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He calls this belief in fixity a form of brutal

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pessimism that was founded on, well, on nothing.

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The research didn't support it, but the social

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utility of the idea was immense for those in

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power. It let them off the hook. It did. And

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Gould spends a lot of time attacking what he

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calls the false equation of heritable with permanent

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or unchangeable. That's a key distinction. It's

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vital. We know lots of traits are heritable.

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Height, for example. But that doesn't mean it's

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unchangeable. Nutrition can dramatically change

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the outcome. Heritability is a statistical measure

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about variation in a population, not a statement

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about an individual's fixed destiny. But that

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idea of a fixed, unchangeable number was necessary

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for the whole hereditarian theory to hold together.

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Through the linchpin. And Gould just completely

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dismantled it. So, okay. What does this all mean

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for us today? If we accept Gould's critique...

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that this entire historical concept of intelligence

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as a single innate fixed thing, if that's all

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academically unsound. So what does all this mean?

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The author of one of our main sources concludes

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that because that whole framework has been rejected

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by careful study, the word intelligence itself

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is almost becoming meaningless, at least when

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it's used in that old single -number way. Which

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brings us right into this moment. right into

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the age of AI. We have these large language models

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that are, I mean, they're incredibly effective.

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They can pass the bar exam. They can write code.

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They can do things that would score incredibly

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high on any of those old 20th century tests.

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And yet, most people hesitate to call them intelligent

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in the same way a person is. Right, you don't

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hear people describe an AI as conscious or wise

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or having common sense. Exactly. The AI seems

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to perform all these complex intellectual tasks

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without having that mysterious, singular, central

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stuff that we were trying so hard to find in

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the human brain. The AI kind of forces our hand.

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It makes us realize that maybe that concept was

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the problem all along. Maybe it was just an error

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of reification. A human invention. That really

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reframes the whole conversation. The old guard

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wanted a single number for worth. Now we have

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machines that can ace their tests, and we still

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instinctively feel like something is missing.

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And that connects this whole critique right back

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to learning and teaching, which I know is a key

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interest for you, our listener. If we stop chasing

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one single measurable quantity, what should education

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be aiming for? Yeah. puts it beautifully, it

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says that whatever students leave school with

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is far more diverse than anything we can conceive

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as general intelligence. It's not about maximizing

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a G score. It's about cultivating that rich multiplicity

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of skills. Creative thinking, emotional intelligence,

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collaboration, technical competence, all the

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things a single number just catastrophically

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fails to capture. Gold's critique frees us from

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that brutal pessimism. It says potential is fluid,

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not fixed. It's a profound takeaway. The whole

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historical concept of intelligence was a mistake

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from the start, rooted in this desire for a simple,

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scientific -sounding number. And its application

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led to social catastrophe, all based on a number

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that its own inventor warned us not to misuse.

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We have to reckon with that history to find a

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better, more honest language to talk about human

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potential. which leaves us with a final provocative

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thought for you to take away. The flaw of the

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early 20th century was trying to define intelligence

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like a law of physics. Now that we have these

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AI systems that show incredible capabilities

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without fitting that old definition, maybe the

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whole mission was flawed from the start. Should

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we just stop trying to measure intelligence altogether

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and focus only on measuring observable, specific,

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and multiple capabilities? Abandon the noun and

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just focus on the verbs. Exactly. Something to

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think about is you define competence in your

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own life.
