[1] http://www.psychologytoday.com/blog/between-the-lines/201204...
1. Isn't a woman, Jessica Livingston (Paul Graham's wife) on the interviewer panel and a part of the application process? It's not just Paul Graham himself.
I'm quick to defend Paul in the same way others are quick to blame him. It seems we as a diverse society are so conditioned to enforcing equal extremism that any time we don't see an industry, a workforce, or a group equally divided between male/female, black/white, gay/straight we immediately sound off the alarm and go on a witch hunt. All of this without considering that certain groups of people are better at something than others. For instance, African Americans make up only 12-14% of the population but over 60% of the NFL. Jewish people make up less than 6% of the population yet they make up almost 100% of entertainment industry executives (see Joel Stein article in the New York Times if you don't believe me). We hold up the majority to a level of standards that the minority cannot even reach. There's this stigma that if you have nice things, you cheated to get them, didn't earn them, and must divide them and share them with everyone else or else you are sexist/racist.
The solution isn't bias in the other direction, but to look for ways to remove the bias. This is why in science we have things like double-blind studies, for example. In music, doing auditions behind a screen seems to have been effective.
Putting systematic measures in place against bias also tends to help with self-selection, since it assures applicants that they have a fair shot. I believe that's what the original poster was asking for. I don't know what the best solution is for something like Y Combinator, but it seems worth giving it some thought. Of course, it's not going to be so easy as performing music behind a screen.
The percentages you cite show this is a problem in many industries. I doubt that 50% is achievable, but I also don't think it's helpful to either say "these people are sexist" or "yeah, but everyone does it." Those are both examples of moralistic thinking. The solution is to move beyond that sort of thing and treat this as a problem to be solved.
So the reason why I'm not on the football team isn't because I'm 5'8" and 125 pounds and can't compete with the other players but because football has a bias against my kind? So instead of me trying to bulk up, gain muscle, gain weight, and try to better compete with the other players I should instead blame the recruiters and coaches for discrimination? Maybe if they lower their standards and we implement some sort of forced quota more little guys like me will feel more welcome in the NFL.
We all have some biases, and taking reasonable efforts to mitigate them has worked very well in other fields, the typical example being the screen for orchestra auditions.
One interesting place to start is Harvard's "Project Implicit". They have a massive publication list[1] and you can even test your own implicit reactions[2].
There are plenty of other scientists testing things like whether people judge women as less competent. A quick google search pulled up a PNAS paper where they did an experiment on women in science, for example.[3]
This is just the tip of the iceberg, of course. There is a whole host of related work, testing other sorts of biases and using other methodologies. I'd suggest a search on your favorite academic search engine for "implicit bias".
[1] https://www.projectimplicit.net/papers.html [2] https://implicit.harvard.edu/implicit/ [3] http://www.pnas.org/content/early/2012/09/14/1211286109#aff-...
You disappoint me, sir. I had such hopes of finding something new and interesting, only to discover that your mere vagueness led me astray.
"You assert that these studies exist, but you don't bother to identify them for those of us who are not au courant with the journals in which they presumably appear. Would you care to link at least a representative example of the studies to which you refer, so that those of us who are unimpressed by argument from authority may examine them for ourselves?"
The semantic value of these two rather long sentences being identical with that of the two words I actually posted, the only apparent reason to choose the former over the latter would be an interest in pandering to your prejudices. I harbor no such interest, and therefore feel no urge to replace what I did post with what you seem to prefer I post.
All that aside, the request stands. Do you intend to cite a representative sample, &c., or do you prefer to settle for the bare-faced argument from authority you've made so far, without even bothering, as I gather is customary in the use of that fallacy, to name the authority from whom you are arguing? "Studies suggest," after all, is rather weak tea.
Finally, there's probably a name for the fallacy inherent in tossing out an unsupported assertion followed by " -- now prove me wrong!", the way you're also doing; I can't be bothered to look it up, though. Between trying to find the studies to which you cannot possibly have referred more vaguely, and trying to do the impossible by proving a negative, I've got too much on my plate already; you'll just have to find the name for that fallacy yourself, I'm afraid.
