> For example, I studied econometrics, and one regression that is often run is regressing CRIME (a dummy variable for whether someone has committed a crime) on a number of right hand side variables, include BLACK, a dummy variable for being Black. Now it is a well known fact that no matter how many right hand side variables you include, the coefficient on BLACK will always be significant and positive. That is, even after accounting for income, education, etc., Black people commit more crime.
You can't directly measure how much crime is committed by people of different races, so any purported measure of this uses some other proxy, most likely convictions of crime.
Of course, relative rates of conviction for crime may not reflect relative rates of commission of crime. Particularly, they may be distorted by biases in (among other things):
* Crime reporting,
* Prosecution,
* Courts and juries