I have no idea whether the overall pendulum is swinging back from "race is a purely social construct". I hope so, because it has always seemed absurd to me, for the very reasons the author cites, just as absurd as the idea that race is a hard determinant of anything.<p>But what I can say is that in molecular biology, working scientists have completely ignored this politically charged debate and continued to use the concept this whole time. In one example I am directly familiar with, researchers have continued to use and stratify genome-wide association studies by self-reported race/ethnicity in the search for variants causal for lupus. This is important not only because as with many diseases, there is a difference in likelihood of getting the disease between "races" not attributable to lifestyle, but also because it is entirely possible, even probable, that the mechanisms causing the disease are somewhat different between ethnicities.<p>Actually, therefore, the understanding that there are real differences between "races" in the context of disease is actually helpful for the smaller groups because it means that special attention is paid to the etiology of their disease apart from the general etiology. In the same way that, for many years, most biology research was done on males and it was just assumed that the findings would always apply to females. That was incorrect, and now studies are done to determine gender differences in treatment and disease etiology.<p>IMO this whole debate has dragged on as long as it has because too many in the public are seemingly incapable -- or unwilling -- to understand basic concepts about population means and variances, and in particular that in a situation like this where population means are very real but usually small, and the variance is high, knowing what "race" you are <i>usually</i> conveys little information about some other attribute of interest. Usually, but not always, as is particularly the case with many diseases.<p>I have grown particularly tired of the argument that, because a taxonomy, like any clustering, is fuzzy and the number of clusters is somewhat arbitrary, the whole thing conveys no useful information. It is patently false.