> Whoops! I take race realism to be the sort of thing that posits an inherent relationship between skin color/other physical features, and other innate/intrins

> Whoops! I take race realism to be the sort of thing that posits an inherent relationship between skin color/other physical features, and other innate/intrinsic/genetic properties such as intelligence or criminality -- especially as a prior and when the trait is normative and negative. So "dark skinned people are less intelligent" is race realism, but "dark skinned people are treated poorly by the political establishment" is not race realism. (We're far afield, I don't mean for this thread to devolve into a definition or debate about race realism -- I'm just saying what I take race realism to mean.) The important point isn't a precise characterization. Rather, the important point is this: It's possible for race to be predictive without there being inherent differences between people of different physical attributes. Setup a system in which I take away all green people's life savings at the end of the day with probability .99 if they don't have a house and .5 if they do have a house. Both numbers are .2 for purple people. An unbiased lender can choose not to lend to green people without exhibiting statistical bias -- in fact, color has huge predictive power. But that predictive power comes from the social system we setup specifically to screw green people, not from inherent differences that are causally related to color posited by race realism. But this is an extremely obvious observation, so perhaps you meant something different by race realism? In any case, I don't think the disagreement you posited really exists. The rest of the points you're making are covered elsewhere. I deal with Real numbers every day, but I don't barge into discussions of epistemology and demand my axioms be used in discussions of a vaguely related but definitely different topic. And I'm careful in pop lectures to point out that Real numbers are just a mathematical object and no more more "real" than natural numbers. If people in your statistics lectures don't know what bias means, then you should account for this in your teaching and lecturing. I know my statistics lecturer did.