Nov 3, 2023
"I hear most respectable middle-class matrons saying if children are weakly, 'Ah, that was not a eugenic marriage!'"
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
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"I hear most respectable middle-class matrons saying if children are weakly, 'Ah, that was not a eugenic marriage!'"
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
What Pearson's department produced was a mixture of sound statistical science with usually biased explorations in human heredity.
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
To recognize why nations rose and fell, everything that contributed to human character had to be studied "not by verbal argument, but . . . under the statistical microscope," he wrote.
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
Yet Pearson hardly came at eugenics from the same angle as Galton – certainly not with the same attitudes toward women and sexuality.
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
Pearson was dealing with so-called nominal variables – that is, with discontinuously distributed data.
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
To him, younger women were shallow playthings, whom, he once confessed, he liked to waken out of complacency, with "half cynical intent," by saying "bitter things."
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
("I can bear the leaving home," he confided to his mother, "but never speaking to anyone is very hard.")
"In the Name of Eugenics: Genetics and the Uses of Human Heredity" - Daniel J. Kevles
La statistique au risque de l’eugénisme
La statistique au risque de l’eugénisme
À l’encontre, 5 février 2020
Les fondateurs de la science statistique étaient tous, peu ou prou, animés par une idéologie eugéniste, voire raciste. Ce constat est indéniable, même s’il est rarement mentionné. Il ne s’agit pas ici de soutenir que les outils statistiques, couramment utilisés aujourd’hui [1], seraient intrinsèquement biaisés, mais de montrer comment ils ont servi à donner un vernis…
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