You see the same thing in academia: give some professional mathematicians some identical papers, but randomly with male or female names on them, and they'll rate the ones with male names more highly than their peers who are given an identical paper with a female name. Unfortunately, both male and female mathematicians bias their judgement in the same way, so simply having more female mathematicians (or investors) goes less far than one might think.
Another excerpt: ------ Money men look for people who are a younger, better, smarter version of themselves. It's human nature. The typical funder is an old, straight, white male, hence the typical fund-receiver is a young, straight, white, male. ------
There's a hierarchy of (generally unintentional) discrimination. In practice, there's a lot more discrimination when meeting face-to-face than when just confronted with names - but even in controlled conditions like the above math example, there tends to be a massive amount of bias against women in technical fields. And it's not a matter of perspectives.