To understand the critique, you have to understand the social justice warrior’s definition of “fair.” A fair result is one that either breaks down precisely along demographic lines (for example, if 40 percent of a city’s population is black, then 40 percent of its cops should be black) or favors preferred identity groups. In other words, if a university program admits more women than men, it’s a testament to the grit and courage of women to overcome historic discrimination. If it admits more men than women, then it’s evidence that the patriarchy is alive and well.
Corporations and other entities are constantly on the lookout for race and gender-blind methods of measuring risk, and the information era allows unprecedented access to hard numbers. To exactly no one’s surprise, these hard numbers show that risk and competence don’t break down neatly along demographic lines — that history, culture, and numerous other factors influence different people in different populations to make choices that impact their employability, insurability, or credit worthiness.
Thursday, September 08, 2016
No, Math Isn't Racist | National Review