This issue of controlling for other attributes that vary across groups in turn raises the issue of what statisticians call a causal model. If one adjusts for where people live, their wealth, their occupations, and their chronic health conditions, it’s true that the “effect” of race may disappear or be minimized. But what does this really mean? On the one hand, we could take this parsing of COVID-19 data to be good news because it means that there is no net effect of race—that racial difference is simply a red herring, and the real difference relates to the differential prevalence of health
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