Strong evidence has measurements not subject to poor measuring and has large numbers, very low p-values.What is "strong evidence" and what is "weak evidence"?Except the vast majority of evidence of discrimination is extremely poor.
And the big metrics go the other way. Blacks and women earn a disproportionate share of degrees.
Life has taught me that a plethora of weak evidence normally means the position is false. Not to say that there wasn't discrimination in the past, but today it looks like it's going the other way. Examine a cohort, don't mix past victims (older) with present non-victims (younger) to pretend there's still a problem.
For example, degrees. Easy to measure, exist in large numbers. The odds of the observed deviations being chance is effectively zero.
Weak evidence does not exclude unrelated causes, usually has small data sets.
For example, the change-the-name bit on resumes. There's a little problem with that one: there is a strong correlation between names and education--and the "black" names come in well below average on this. Are they reacting to the race implied by the name, or by the education suggested by the name? Or even other factors, those named "Nevaeh" tend to have chronic health problems. There's also the problem with the racism explanation as it makes no difference what race the person making the hiring decision is.