"Statistical discrimination always harms people who are above average for their group, so on this theory it is never permissible."
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Replying to @G_S_Bhogal @ameekbhalla
Seems to me the article you linked to only validates my assertion.
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Replying to @G_S_Bhogal
Background to the article: author invited reasons for why stat discrimination should be limited. Then in that article he eliminated some.
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Replying to @ameekbhalla
Yes, discriminating is natural. I never said it wasn't. My claim was that there is no rational basis to make *assumptions* about women.
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Replying to @G_S_Bhogal
What do you mean by assumptions: Inferences based on group averages or something else?
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Replying to @ameekbhalla
Yes, inferences based on averages. One could reasonably expect a trait, but it's always foolish to assume a trait (as this leads to biases)
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Replying to @G_S_Bhogal
2 egs (not mine) when it would be unwise to NOT assume a trait 1. In a mixed-sex conversation. Trait assumed: male & female interests differ
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Replying to @ameekbhalla @G_S_Bhogal
2. Airport security screening. Trait assumed: young males more dangerous than old females.
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Replying to @ameekbhalla
We're talking about different things here. I'm talking about individuals, you're talking about populations. But we are actually in agreement
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Replying to @G_S_Bhogal
How do you differentiate b/n individual & population-level application of stats? How would you classify the 2 egs? (Not a "gotcha" question)
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Population-level: Muslims are statistically more likely to be jihadis. Individual-level: Ahmed is Muslim, thus, likely a terrorist.
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Replying to @G_S_Bhogal @ameekbhalla
Population-level is otherwise known as demography. Individual-level is known as discrimination/prejudice.
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