Why ``racial profiling'' does not work
Profiling -- using people's apparent membership in an ethnic or cultural group as the basis for subjecting them to a search -- has its defenders, even among mind scientists. Their reasoning is that common stereotypes (of, say, young black men in cities, or of bearded Muslims in airports) are based on what Steven Pinker once called good statistics.
The argument goes like this: Yes, most members of all social groups are innocent -- but if, in group X, 2 percent of people are criminals while in group Y only 1 percent are, then it is a sound tactic to concentrate on X-ers when deciding who to search.
I think this is mistaken because I see no rational reason to assume our cultural categories can solve a non-cultural problem. The important category in law-enforcement is ``dangerous criminals,'' and people should be searched because they show signs that predict their likely membership in that group. As most people in all ethnic and religious groups are law-abiding, then membership in any group is a very poor predictor of criminality. We aren't using them because they fit the problem; we're using them because they're easy to spot and think about -- like the proverbial guy looking for his lost keys under the lamppost because that's where the light is best. Meanwhile, better tools exist, in the form of non-ethnic, non-religious categories -- among them, gender, age, and demeanor.
Two days ago, William H. Press published this mathematical analysis of the question, which comes to the same conclusion: As he puts it, the only effective method for finding bad guys is to spend a lot of time looking ``not under the lamppost.'' Racial profiling, he found, is no more likely than random searches to find the criminals.
