> what are your priors on whether or not a given company engaged in discrimination, and how do these change if you're told 75% of employees of a particular demographic stated there was discrimination?
I completely agree that it's a very bad look. It is probably even more likely than not that given those facts, it is due to racism. I guess the question comes down to, philosophically, how one answers the following question: In the quest to eradicate racism and racists, is it better to be over-zealous and destroy a few non-racists to make sure you get all the actual racists(the chemo approach) - or is it better to be slightly more circumspect and let a few racists slip through the cracks so that far fewer non-racists are punished (the US judicial system ideal)?
Yes that's what was asked; which ones?
> especially when n=15(if this was a statistical study on insulin response to artificial sweeteners, people would be saying the sample size is too small to draw conclusions)
And those people would be wrong. It's incorrect to dismiss a study based on sample size without a discussion of significance and effect size in the context of the data.
Moreover I reject the premise that you should be assessing this story quantitatively rather than qualitatively. But if you insist: what are your priors on whether or not a given company engaged in discrimination, and how do these change if you're told 75% of employees of a particular demographic stated there was discrimination?