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by beccasanchez
3857 days ago
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Modern statistics and statistically modelling are actually just confirming the validity of the majority of widely held stereotypes. As statistics in the academy become more common and advanced, more and more old stereotypes are just confirmed to be accurate. This is considered a crisis right now in social psychology, for instance, because there are almost no stereotypes that research has debunked. Again and again, research confirms stereotypes, and shows that humans in the aggregate are very good at creating accurate inferences. Stereotypes create injustice when they lead to prejudice--failing to give an individual a chance because they belong to a stereotyped group--but prejudice is wrong because outliers deserve a chance, not because stereotypes are incorrect. How can liberalism persist in the face of so much science that dismantles its most sacred beliefs? |
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I'm calling BS on this unless you give some specific examples.
Not only this but confirming stereotypes does not mean that "humans in the aggregate are very good at creating accurate inferences."
For example if (group) have the stereotype of being dumb that doesn't mean that others are good at making accurate inferences, it may just mean that others are good at denying (group) access to education and the same standard of living.