WEBVTT

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Picture this, it's 1851 down in the American

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South, and there's this prominent physician,

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and he's looking at enslaved people who are risking

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their lives, braving dogs, armed patrols, I mean,

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everything just to escape captivity. And this

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doctor, using the full authority of his medical

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degree, publishes a paper declaring that these

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people are not reacting to horrific oppression.

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Instead, He diagnoses them with a psychiatric

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illness. He literally medicalizes the desire

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for freedom. Exactly. He calls it a biological

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disease that needs to be cured. It is honestly

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one of the most chilling examples in our source

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stack today. That doctor was Samuel Cartwright.

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Right. And he named his fabricated disease drapedomania.

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I mean, he basically took the raw brutality of

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human prejudice and dressed it up in a lab coat.

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He used the supposed objectivity of medicine

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to justify an atrocity. Yes. OK, let's unpack

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this because today our mission on this deep dive

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is to explore a massive, incredibly heavy stack

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of historical and modern sources covering what

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is known as scientific racism. And it is a heavy

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stack. It really is. We're going to look at how

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the objective veneer of science was historically

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hijacked to build artificial human hierarchies.

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And more importantly, how you the person listening

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to this right now, how you can still spot the

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echoes of this pseudoscience today. Because it's

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still out there. Exactly. Whether you are scrolling

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through a news feed, reading a medical journal,

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or just trying to make sense of modern data,

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understanding how statistics and biology can

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be manipulated is what's the ultimate tool for

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critical thinking. Think of science like a mirror.

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Okay, a mirror. Right. We think it reflects objective

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reality, but sometimes it only reflects the biases

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of the person holding it. That is a great way

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to look at it. To set our foundation from the

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sources and, you know, try to visualize this

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against a backdrop of shifting historical texts

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and modern DNA helixes, scientific racism is

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essentially the pseudoscientific belief that

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you can use hard empirical data to prove some

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groups of humans are biologically distinct. Distinct

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and hierarchical, like ranked. Exactly. Ranked

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into taxa. It is taking cultural biases and formalizing

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them into biological taxonomy. Now, Modern scientific

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consensus completely rejects this force like

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the 1950 UNESCO statement formally denounced

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it But we really have to understand from the

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1600s all the way through World War two. This

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wasn't some fringe theory It was the norm. It

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was mainstream heavily funded completely accepted

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science So to understand how data gets manipulated

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today in the 2020s We have to go back to how

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humans first started classifying each other We

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have to look at the Enlightenment right the age

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of reason. Yeah humanity's simply had this desperate

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need to categorize the expanding natural world.

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But they brought all their cultural baggage with

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them right to the microscope. They really did.

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The Enlightenment brought this massive weight

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of scientific classification, but you cannot

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separate the science from the society that's

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funding it. Take François Bernier, for example.

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The French physician. Right. In 1684, he published

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an essay attempting to divide all of humanity

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into four distinct races. Wait, so a French physician

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in the 1600s is just looking at a globe and Deciding

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where the biological lines are drawn? Basically,

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yes. What was he actually basing this on? Did

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he have any sort of empirical metric at all?

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Not really. He was basing it almost entirely

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on geography and his own highly subjective ideas

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of female beauty. Wow. Seriously? Yes. He put

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Europeans in the first race, which he clearly

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viewed as the baseline, you know, the norm. And

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by contrast, he notoriously described the Sami

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people of northern Europe as awful and, quote,

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reminiscent of a bear's face. Reminiscent of

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a bear's face. That is, that's just wild. It

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was purely observational prejudice disguised

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as early taxonomy. He was observing cultural

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and aesthetic differences and just declaring

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them to be deep biological divides. Which brings

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a much bigger name into our source stack, Carl

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Linnaeus. Oh yes, the father of modern taxonomy.

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Right, the guy who gave us the system of naming

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species. that we still use today. Kingdom, phylum,

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class, order. That's the one. In his 1767 edition

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of Systema Naturae, Linnaeus didn't just classify

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plants and animals. He turned his gaze to humans.

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Uh -oh. Yeah. But he didn't stop at categorizing

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physical traits like skin color or geography.

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He assigned highly subjective moral behaviors

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to his categories. Like personality traits? Exactly.

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He claimed Europeaness was gentle, acute, inventive,

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and governed by customs. Meanwhile, Africanus

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was described as sly, lazy, negligent, and governed

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by caprice. That is just... blatant stereotyping.

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He even threw in a category called homomonstrosis

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for mythical creatures and like feral men. Wait,

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so the father of modern taxonomy was just baking

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flat -out behavioral stereotypes into the permanent

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scientific record. Did anyone in the scientific

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community push back on this at the time? I mean,

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someone had to say something. Well, this raises

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an important question, and it's heavily debated

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in our modern sources. OK. Some critics, like

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the scholar Marie Christine Sinca, argue Linnaeus

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was merely Eurocentric. Nearly Eurocentric. Right.

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She suggests his focus was on culture rather

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than inherent biology, noting he didn't even

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use the word race himself. But other historians,

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like Renato Masolini, argue that regardless of

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his exact conscious intent, this white -black

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polarity that Linnaeus codified, it became the

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absolute paradigm for later racist beliefs. Because

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it set the standard. Exactly. He essentially

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built the scaffolding for a biological hierarchy.

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and the lengths people went to justify these

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new categories is just crazy. I mean, looking

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at the stack, our sources mention American founding

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father, Dr. Benjamin Rush. Oh, Dr. Rush, yes.

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He was a highly respected physician, but he genuinely

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believed that black skin was actually a form

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of hereditary leprosy. He called it negroidism.

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Negroidism. He thought it was a curable skin

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disease. And the bizarre thing is, because he

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viewed it as a disease, Rush thought he was actually

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being highly progressive. Wait, what? Progressive

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how? He argued that non -white people shouldn't

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be tyrannized or enslaved because they were simply,

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quote, diseased and could potentially be cured.

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Meaning turned white. Meaning turned white underneath.

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It perfectly illustrates how desperate early

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scientists were to maintain a European biological

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default. That is fascinating. They were trying

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to cram the vast complex reality of human diversity

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into an incredibly narrow biased worldview. So

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once Linnaeus and others built these categorical

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boxes, society needed a way to prove who belonged

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in which box, and more importantly, who was at

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the top. Right, because you can't rank things

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objectively without data. Exactly. That demand

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for proof birthed physical anthropology, and

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specifically, the absolute obsession with measuring

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the unmeasurable. Subjective observation morphed

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into the illusion of hard data through craniometry.

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Measuring skulls. Measuring skulls to determine

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intelligence. We see Peter Kamper's facial angle

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theories, and then in the 19th century, Dr. Samuel

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George Morton He collected skulls from all over

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the world to measure the brain size. Yes. He

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started measuring their interior volume by filling

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them with lead shot or mustard seed, assuming

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that a bigger skull meant a bigger brain, which

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automatically equated to higher intelligence.

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I think we can all see where this is going. It's

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like grading a test where you already decided

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who's going to get an A and who's going to get

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an F before you even look at the answers. That

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is exactly what he did. Morton claimed Caucasian

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brains had the largest volume, averaging 87 cubic

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inches. Native Americans were at 82, and Negroes

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had the smallest at 78 cubic inches. Just assigning

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neat little numbers to it. He used this specific

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numerical data to argue that the races had been

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separate and unequal since the very beginning

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of human history. What's really fascinating to

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me in this stack is how modern scientists look

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back at Morton's numbers today. Oh, the data

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debate. Yeah. Because for a long time, the famous

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evolutionary biologist Stephen Jay Gould argued

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that Morton deliberately falsified his data.

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Right. Gould claimed Morton subconsciously packed

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the Caucasian skulls tighter with seed to make

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the measure larger. But later, anthropologists

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completely upended that theory. What's fascinating

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here is that anthropologists like Jason Lewis

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and John Michael physically re -measured Morton's

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smell collection. And they found that Morton's

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physical data was actually quite accurate. Really?

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Yes. He didn't physically fudge the numbers.

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The cubic inches were correct. But his conclusions

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were entirely racist and scientifically invalid.

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Wait, how does that work? If the measurements

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were physically accurate, How is the science

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completely wrong? Because modern science demonstrates

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that human variation is continuous, not discrete,

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Morton forced continuous human diversity into

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rigid, artificial categories. Oh, I see. Think

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of human variation like a rainbow. OK. It's a

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continuous fluid spectrum of color. Morton essentially

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walked up to that beautiful, continuous rainbow

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with three buckets of paint, red, blue, and yellow.

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and forced every single subtle shade into one

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of those three buckets. Completely ignoring the

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blending in between. Exactly. His math on how

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much paint was in the bucket was right, but the

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buckets themselves were a total fiction. That

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is the perfect way to visualize it. He decided

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the boxes existed, sorted the skulls into them

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based on his own cultural biases, and then used

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the mathematical averages of those artificial

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boxes to, quote, prove a hierarchy. So the arithmetic

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was flawless. But the biological premise was

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a complete fabrication. And once you have scientific

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proof of a hierarchy from people like Morton,

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you can start medicalizing anything that threatens

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that hierarchy. Which brings us right back to

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our intro. Dr. Cartwright in 1851, diagnosing

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fleeing enslaved people with drapedomania. Cartwright

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used the prevailing science of the day to argue

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that specific groups were biologically designed

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for subservience. Therefore, any resistance to

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that subservience couldn't be a rational human

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desire for freedom. It had to be diagnosed as

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a pathology. Exactly. And his prescribed medical

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treatment for this illness was, quote, proper

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medical advice. Which meant what, exactly? In

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practice, it meant physical abuse, whipping,

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and forced submission. God. So... What does this

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all mean? If science can prove hierarchy through

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skull measurements and diagnose resistance as

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a mental illness, it inevitably becomes a tool

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for state power. It absolutely scales up from

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the plantation to global policy. And we see this

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shift explicitly in the 1920s in the United States

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with the dawn of IQ testing. It becomes a literal

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mechanism for social engineering. Henry Goddard

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started applying early intelligence tests to

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immigrants arriving at Ellis Island. Claiming

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to objectively measure their innate cognitive

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ability. Right. But think about the mechanics

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of this. You have immigrants arriving after a

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grueling multi -week boat ride. They likely don't

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speak English. They are exhausted, scared and

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in a completely foreign environment. Yeah. And

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Goddard hands them a puzzle or a test that relies

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heavily on American cultural context. It wasn't

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testing innate intelligence. It was testing their

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proximity to American culture. Yet based on these

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heavily biased tests, Goddard published data

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claiming that vast majorities of Jewish, Italian

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and Russian immigrants were, quote, feeble minded.

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And this wasn't just an academic exercise filed

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away in a library somewhere. No, this data directly

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influenced lawmakers. It provided the supposedly

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objective foundation for the Immigration Act

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of 1924, which imposed strict racial and national

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quotas to block undesirable people from entering

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the country. The science gave lawmakers the perfect

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cover. It allowed them to say, hey, This isn't

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prejudice. This is public health. We are just

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protecting the nation's intelligence. Exactly.

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And our sources show this exact same weaponization

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happening globally. Look at the origins of apartheid

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in South Africa. Oh, absolutely. The Carnegie

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Commission on the Poor White Problem in South

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Africa published a massive five volume report

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in the early 1930s. And the context here is vital.

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It's extremely vital. The global economic depression

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was hitting South Africa hard, and poor white

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populations were suffering right alongside Black

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Native populations. Which completely broke the

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visual hierarchy. of white supremacy. Yes. If

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white people were intrinsically biologically

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superior, they shouldn't be starving in the same

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slums as the people they were oppressing. It

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caused a massive panic among the ruling class.

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The Carnegie Report explicitly expressed fear

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that poor whites would not be able to resist

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the process of what they called Africanization.

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So they needed a structural way to separate the

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populations. To protect the myth of white superiority.

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This fear -driven pseudoscientific report played

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a key role in providing the intellectual and

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sociological groundwork for establishing the

00:12:59.639 --> 00:13:02.919
brutal legal segregation system of apartheid.

00:13:03.039 --> 00:13:05.539
Which all culminates in eugenics, the incredibly

00:13:05.539 --> 00:13:08.080
dangerous idea that you can selectively breed

00:13:08.080 --> 00:13:11.590
humanity to preserve the superior traits. and

00:13:11.590 --> 00:13:14.269
physically eliminate the inferior ones. You see

00:13:14.269 --> 00:13:16.929
this momentum building with Madison Grant, an

00:13:16.929 --> 00:13:18.909
American eugenicist who wrote The Passing of

00:13:18.909 --> 00:13:22.289
the Great Race in 1916. He championed the preservation

00:13:22.289 --> 00:13:24.809
of the Nordic race. You see in Sweden, too. Yes.

00:13:25.090 --> 00:13:27.889
Sweden opened the world's first government funded

00:13:27.889 --> 00:13:31.529
state institute for racial biology in 1922, aiming

00:13:31.529 --> 00:13:34.070
to cure criminality and alcoholism through racial

00:13:34.070 --> 00:13:36.049
hygiene. And we all know where this ideology

00:13:36.049 --> 00:13:38.830
ultimately leads. Nazi Germany weaponized these

00:13:38.830 --> 00:13:42.009
exact American and European They took the theories

00:13:42.009 --> 00:13:44.230
of eugenics and pushed them to their absolute,

00:13:44.450 --> 00:13:47.409
horrific, logical conclusion. They used these

00:13:47.409 --> 00:13:50.190
models to legally justify compulsory sterilization

00:13:50.190 --> 00:13:52.629
and, ultimately, the Holocaust. Targeting Jewish

00:13:52.629 --> 00:13:55.529
people, the disabled, homosexuals. Anyone the

00:13:55.529 --> 00:13:58.529
state deemed Levinson -Verte's laban life unworthy

00:13:58.529 --> 00:14:01.629
of life. There is a deeply dark irony in the

00:14:01.629 --> 00:14:04.549
sources regarding the Nazis and this supposedly

00:14:04.549 --> 00:14:08.169
objective data. Hitler actually banned IQ testing

00:14:08.169 --> 00:14:11.340
in Germany. He did. He deemed IQ testing to be

00:14:11.340 --> 00:14:13.840
Jewish because the results didn't always align

00:14:13.840 --> 00:14:16.279
with his preconceived racial hierarchies. It

00:14:16.279 --> 00:14:18.620
just proves that the science was always subservient

00:14:18.620 --> 00:14:21.639
to the ideology. The moment the tool didn't perfectly

00:14:21.639 --> 00:14:23.960
validate the prejudice, the tool was discarded.

00:14:24.299 --> 00:14:26.779
Following the horrors of World War II and the

00:14:26.779 --> 00:14:29.320
revelations of the Nuremberg Trials, the global

00:14:29.320 --> 00:14:32.059
scientific community had a massive public reckoning.

00:14:32.299 --> 00:14:34.139
Mainstream science formally denounced scientific

00:14:34.139 --> 00:14:37.320
racism. Right. The 1950 UNESCO statement was

00:14:37.320 --> 00:14:39.980
a vital turning point. It brought together geneticists,

00:14:40.159 --> 00:14:42.879
anthropologists, sociologists to clearly separate

00:14:42.879 --> 00:14:45.919
the biological myth of race from the very real

00:14:45.919 --> 00:14:49.159
social reality of racism. And today, modern genetic

00:14:49.159 --> 00:14:51.879
consensus is crystal clear on this. The 2019

00:14:51.879 --> 00:14:53.929
JANA Declaration, published by the Jur... Armin

00:14:53.929 --> 00:14:56.629
Theological Society definitively states that

00:14:56.629 --> 00:14:58.909
the biological concept of distinct human races

00:14:58.909 --> 00:15:01.629
is simply invalid. They proved through modern

00:15:01.629 --> 00:15:04.529
sequencing that genetic variation is actually

00:15:04.529 --> 00:15:06.990
smaller between human populations than within

00:15:06.990 --> 00:15:09.450
them. Meaning there is more genetic difference

00:15:09.450 --> 00:15:11.809
between two random people living in the same

00:15:11.809 --> 00:15:13.990
town in Germany than there is between the average

00:15:13.990 --> 00:15:16.710
genetic makeup of Europe and Asia. Exactly. The

00:15:16.710 --> 00:15:19.509
categories Linnaeus and Bernier dreamed up simply

00:15:19.509 --> 00:15:24.340
do not exist at a genetic level. If the scientific

00:15:24.340 --> 00:15:28.220
consensus is so definitive, why does our source

00:15:28.220 --> 00:15:30.720
stack include events from the 2020s? Because

00:15:30.720 --> 00:15:33.580
the underlying human desire to justify inequality

00:15:33.580 --> 00:15:36.080
didn't disappear, it just adapted to the times.

00:15:36.240 --> 00:15:39.000
It put on a modern lab coat. Yes. We are seeing

00:15:39.000 --> 00:15:41.740
a modern fringe movement attempting to resurrect

00:15:41.740 --> 00:15:44.620
these hierarchical ideas using manipulated statistics

00:15:44.620 --> 00:15:47.639
and genomic vocabulary. Like Arthur Jensen or

00:15:47.639 --> 00:15:49.779
Richard Lin, who were heavily critiqued in our

00:15:49.779 --> 00:15:52.549
sources. Lin actually published papers trying

00:15:52.549 --> 00:15:55.409
to claim that a nation's GDP is biologically

00:15:55.409 --> 00:15:58.009
determined by its national average IQ. He even

00:15:58.009 --> 00:16:00.009
tried to tie intelligence to the proportion of

00:16:00.009 --> 00:16:03.370
Caucasian genes and African Americans. But mainstream

00:16:03.370 --> 00:16:06.230
scientists point out that Lin's methodology is

00:16:06.230 --> 00:16:08.950
deeply flawed. He routinely commits one of the

00:16:08.950 --> 00:16:12.149
cardinal sins of data analysis. Confusing correlation

00:16:12.149 --> 00:16:15.230
with causation. Exactly. He attributes complex

00:16:15.230 --> 00:16:18.970
societal outcomes solely to genetics, completely

00:16:18.970 --> 00:16:21.899
ignoring mass - of social, economic, historical,

00:16:22.100 --> 00:16:24.179
and environmental variables. Now, it's fascinating

00:16:24.179 --> 00:16:26.740
to see how this historical debate bleeds right

00:16:26.740 --> 00:16:29.879
into modern politics. Looking at the stack of

00:16:29.879 --> 00:16:32.639
sources provided to us, we see conflicting views

00:16:32.639 --> 00:16:35.240
playing out in real time. Very much so. And as

00:16:35.240 --> 00:16:37.419
a quick reminder to you listening, we explicitly

00:16:37.419 --> 00:16:40.960
do not take sides on this show. We strictly impartially

00:16:40.960 --> 00:16:43.639
report what is in the source material, even when

00:16:43.639 --> 00:16:45.440
it's politically charged. Right, just presenting

00:16:45.440 --> 00:16:48.279
the text. Exactly. So for example, the sources

00:16:48.279 --> 00:16:52.159
note a March 27, 2025 White House executive order.

00:16:52.480 --> 00:16:55.019
It characterized the Smithsonian exhibit on African

00:16:55.019 --> 00:16:58.259
-American art as divisive, specifically objecting

00:16:58.259 --> 00:17:01.159
to the exhibit's presentation of race as a social

00:17:01.159 --> 00:17:04.549
construct rather than a biological reality. And

00:17:04.549 --> 00:17:06.529
on the other side of that debate, in our sources,

00:17:06.769 --> 00:17:09.210
we have scholars like Henry Louis Gates Jr. He

00:17:09.210 --> 00:17:11.890
points out that human genetic diversity actually

00:17:11.890 --> 00:17:15.410
unifies us because, quote, we are all mixed.

00:17:16.089 --> 00:17:18.569
It really highlights how the definition of race

00:17:18.569 --> 00:17:21.829
remains a highly charged, active debate in the

00:17:21.829 --> 00:17:24.289
public sphere today, even with the genetic consensus

00:17:24.289 --> 00:17:26.980
settled. It illustrates that the tension between

00:17:26.980 --> 00:17:30.039
cultural identity and biological science is still

00:17:30.039 --> 00:17:32.880
incredibly potent. But the sources point to something

00:17:32.880 --> 00:17:34.980
even more concerning than political debates.

00:17:35.500 --> 00:17:38.640
The active modern manipulation of hard scientific

00:17:38.640 --> 00:17:41.460
data by fringe groups. Yes. Here's where it gets

00:17:41.460 --> 00:17:44.440
really interesting. We are looking at a major

00:17:44.440 --> 00:17:48.220
New York Times report from January 24th, 2026.

00:17:48.839 --> 00:17:51.599
This is an historical theory. This is a modern

00:17:51.599 --> 00:17:53.819
data breach. The report revealed that a group

00:17:53.819 --> 00:17:56.240
of fringe researchers, including Brian Pesta

00:17:56.240 --> 00:17:58.799
and Emile Kierkegaard, who, by the way, were

00:17:58.799 --> 00:18:00.839
funded in part by the Pioneer Fund. Which is

00:18:00.839 --> 00:18:03.079
an organization with a long history of supporting

00:18:03.079 --> 00:18:06.000
scientific racism. Right. They used outright

00:18:06.000 --> 00:18:08.759
deception to access protected data from the National

00:18:08.759 --> 00:18:11.019
Institutes of Health. They infiltrated the adolescent

00:18:11.019 --> 00:18:13.119
brain cognitive development study. How did they

00:18:13.119 --> 00:18:15.410
actually pull that off? They applied for access

00:18:15.410 --> 00:18:18.130
by claiming they were conducting standard, benign

00:18:18.130 --> 00:18:20.730
sociological research. But once they got their

00:18:20.730 --> 00:18:23.609
hands on that protected genetic and personal

00:18:23.609 --> 00:18:27.650
data, they ran deeply flawed statistical regressions.

00:18:27.930 --> 00:18:30.769
Flawed how? They deliberately isolated race as

00:18:30.769 --> 00:18:33.750
a variable while minimizing or stripping out

00:18:33.750 --> 00:18:36.769
socioeconomic status, school quality, and environmental

00:18:36.769 --> 00:18:39.690
factors. They used this manipulated analysis

00:18:39.690 --> 00:18:43.170
to publish at least 16 papers purporting to find

00:18:43.170 --> 00:18:45.799
biological evidence for differences in intelligence

00:18:45.799 --> 00:18:48.460
between races. So they were essentially suggesting

00:18:48.460 --> 00:18:51.220
that black people earn less because they are

00:18:51.220 --> 00:18:54.460
biologically less smart rather than acknowledging

00:18:54.460 --> 00:18:57.220
systemic economic barriers. Yes. It's like money

00:18:57.220 --> 00:18:58.960
laundering but for data. Oh that's a good way

00:18:58.960 --> 00:19:01.200
to put it. Yeah you take biased counterfeit science

00:19:01.200 --> 00:19:03.339
and you pass it through a clean highly respected

00:19:03.339 --> 00:19:06.019
institution like the NIH. Once it comes out the

00:19:06.019 --> 00:19:09.019
other side the public sees the NIH Association

00:19:09.019 --> 00:19:11.660
and accepts the counterfeit data as valid currency.

00:19:11.759 --> 00:19:14.009
Even though mainstream Geneticists immediately

00:19:14.009 --> 00:19:17.009
rejected their methodology as biased and unscientific.

00:19:17.170 --> 00:19:19.250
But the damage was already done. By laundering

00:19:19.250 --> 00:19:21.410
their racist theories through a prominent data

00:19:21.410 --> 00:19:24.170
set, they gave their work an air of analytical

00:19:24.170 --> 00:19:28.009
rigor. It sparked a massive wave of online disinformation.

00:19:28.490 --> 00:19:30.710
People shared these papers on social media claiming,

00:19:30.710 --> 00:19:33.390
look, the NIH data proves it. It is the exact

00:19:33.390 --> 00:19:36.289
same playbook. as Samuel Morton filling skulls

00:19:36.289 --> 00:19:38.569
with mustard seed just updated for the age of

00:19:38.569 --> 00:19:40.650
big data and algorithmic sequencing. It really

00:19:40.650 --> 00:19:42.710
is. Which brings us to the core of this deep

00:19:42.710 --> 00:19:45.509
dive. For you listening, we've traveled a massive

00:19:45.509 --> 00:19:48.309
distance today. We went from Francois Bernier

00:19:48.309 --> 00:19:50.529
looking at a map and deciding who was beautiful

00:19:50.529 --> 00:19:55.150
in the 1600s to Linnaeus inventing behavioral

00:19:55.150 --> 00:19:57.890
categories. We saw Dr. Cartwright diagnosing

00:19:57.890 --> 00:20:00.109
runaway enslaved people with a mental illness.

00:20:00.289 --> 00:20:02.869
And Henry Gadard designing puzzles to keep immigrants

00:20:02.869 --> 00:20:05.690
out of America. We've seen how this illusion

00:20:05.690 --> 00:20:08.329
of hard data fed state -sponsored eugenics all

00:20:08.329 --> 00:20:11.089
the way to modern fringe groups laundering manipulated

00:20:11.089 --> 00:20:15.130
statistics through the NIH in 2026. If we connect

00:20:15.130 --> 00:20:17.210
this to the bigger picture, the absolute key

00:20:17.210 --> 00:20:19.470
takeaway from our sources is that data never

00:20:19.470 --> 00:20:22.289
ever exists in a vacuum. As the scholar Jonathan

00:20:22.289 --> 00:20:24.930
Marks notes in the text, science doesn't become

00:20:24.930 --> 00:20:28.309
racist on its own. It is racist ideas propagated

00:20:28.309 --> 00:20:32.130
by scientists that make science racist. We have

00:20:32.130 --> 00:20:34.289
to relentlessly interrogate not just the numbers

00:20:34.289 --> 00:20:37.250
on the page, but the assumptions, the funding,

00:20:37.329 --> 00:20:39.869
and the cultural biases of the people designing

00:20:39.869 --> 00:20:42.190
the studies. Because the legacy of this isn't

00:20:42.190 --> 00:20:44.589
just an academic history lesson. I mean, Harriet

00:20:44.589 --> 00:20:47.069
Washington's phenomenal book, Medical Apartheid,

00:20:47.230 --> 00:20:49.990
which anchors much of the stack, shows how this

00:20:49.990 --> 00:20:52.650
history of medical racism directly impacts the

00:20:52.650 --> 00:20:55.230
massive lack of trust in the medical system today.

00:20:55.390 --> 00:20:58.009
Where marginalized people were viewed as biologically

00:20:58.009 --> 00:21:00.910
different and exploited for experiments. Exactly.

00:21:01.150 --> 00:21:03.289
When a community has historically been diagnosed

00:21:03.289 --> 00:21:06.430
with fake diseases to keep them enslaved or sterilized

00:21:06.430 --> 00:21:09.269
by state biology institutes, that generational

00:21:09.269 --> 00:21:11.809
memory doesn't just vanish. The past is still

00:21:11.809 --> 00:21:14.069
in the exam room with us today. The categories

00:21:14.069 --> 00:21:16.450
we create and the data we manipulate to justify

00:21:16.450 --> 00:21:19.450
them have very real generational and often lethal

00:21:19.450 --> 00:21:22.210
consequences. It demands constant vigilance.

00:21:22.470 --> 00:21:24.109
And that leads me to a final thought I want to

00:21:24.109 --> 00:21:26.589
leave you with today. Something to really mull

00:21:26.589 --> 00:21:30.490
over as you consume data this week. Today, we

00:21:30.490 --> 00:21:32.809
are outsourcing more and more of our decision

00:21:32.809 --> 00:21:35.970
making, our sorting, and our categorization to

00:21:35.970 --> 00:21:37.890
artificial intelligence and machine learning

00:21:37.890 --> 00:21:40.349
algorithms. We use them for everything. Hiring,

00:21:40.730 --> 00:21:43.910
medical diagnoses, loan approvals, criminal justice

00:21:43.910 --> 00:21:46.390
risk assessments. We are training machines to

00:21:46.390 --> 00:21:48.990
look at the massive chaotic world and categorize

00:21:48.990 --> 00:21:51.250
it for us. Assuming the machine will finally

00:21:51.250 --> 00:21:53.150
give us that perfectly clean objective mirror.

00:21:53.210 --> 00:21:56.329
Right. But if the greatest, most celebrated scientific

00:21:56.329 --> 00:21:59.589
minds of the past could unknowingly bake their

00:21:59.589 --> 00:22:02.529
deepest, most horrific prejudices into what they

00:22:02.529 --> 00:22:05.769
completely believed was objective data, what

00:22:05.769 --> 00:22:08.089
biases are we currently programming into the

00:22:08.089 --> 00:22:10.789
AI systems of our future, without even realizing

00:22:10.789 --> 00:22:13.690
it? We think we're building an impartial intelligence,

00:22:13.710 --> 00:22:15.750
but if we aren't careful about the data we feed

00:22:15.750 --> 00:22:18.369
it, we might just be automating the exact same

00:22:18.369 --> 00:22:20.109
distorted hierarchies we've been fighting for

00:22:20.109 --> 00:22:20.509
centuries.
