Another point about the 30-35% figure bears noting as well. If we assume that in an unbiased world the breakdown would be 50/50, i.e., each word would be used as often to describe a male as well as a female professor, then how much bias does a 70/30 split show? I suggest that the right answer is 35% (50% total female population - 32.5% females receiving equal or better treatment) / 50% total female population. That is, you would expect females and males to receive 50% each by random allocation, so only you need to quantify the deviation from 50% (there is an argument that the denominator should be 100%, because the range of possible distributions ranges from 100/0 male to 0/100 female in which case the % of bias would be only 17.5%, but I don't need to take that view given I make my point with the more conservative denominator).
Significantly, this means a solid majority -- 65% roughly -- of the 14 million student ratings exhibit no bias at all, thus supporting my point that it is fallacious to claim everyone has it or that every white male benefits from it. In this case, 35% of the population had a different result due to bias, that's material but not a majority, let alone something universal. To even call it pervasive is a stretch, with all due respect.
If we put these insights all together, a legitimate inference might be that the majority of whites or males receive no privilege whatsoever, while a minority receive a considerable boost, and the average is just what it is.