Unfortunately, it seems to me that most of the information that "race" provides is screened off by various things that are only weakly correlated with race, and it also seems to me that our badly-designed hardware doesn't update very well upon learning these things. For example, "X is a college graduate, and is black" doesn't tell you all that much more than "X is a college graduate"; it's probably easier to deal with this by having inaccurate priors than by updating properly.
For example, "X is a college graduate, and is black" doesn't tell you all that much more than "X is a college graduate"
I'm not sure that what you have in mind here is screening, at least in the causal diagrams sense. If I'm not mistaken, learning that someone is a college graduate screens off race for the purpose of predicting the causal effects of college graduation, but it doesn't screen off race for the purpose of predicting causes of college graduation (such as intelligence) and their effects. You're right, though, that even in t...
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