"Galton and his fellow eugenicist / protegee Karl Pearson were not directly involved in the development of early computational machines. But Galton’s foundational work with multidimensional modeling — a technique he used while measuring the attractiveness of African and European women — shaped Pearson’s thinking as he developed statistical tools like logistic regression, which is one of the fundamental components of modern machine learning."

theverge.com/entertainment/897

"Galton Pearson helped normalize the idea that people of various races were fundamentally different in quantifiable ways. This kind of racist thinking is what led to Galton and his peers believing that human intelligence could be measured, and that human brains function very much like machines. That jump, Veatch says, played a major role in selling the public on the fantastical idea of artificial intelligence."

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