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THAT is a really good point. Thank you for bringing it up. Even after considering your evidence as truth I still have one question left.

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.



Putting emotional reactions aside for a moment, I think the real point is that unbiased behavior is quite difficult to achieve and requires discipline. If you're not doing anything systematic to root out bias and just relying on good intentions, it won't be enough. Yes, having a variety of interviewers helps somewhat, but people can be biased in similar ways - it is possible for women to be unconsciously biased against other women, for example.

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.


"The percentages you cite show this is a problem in many industries" No it's not a problem. This is where you and people like you, differ from me and people like me. You see "differences" as a problem, I see "differences" as a reality and not something that we need to play God with in order to equalize.

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.


Hey, you're the one bringing up quotas, not me. I think I said that aiming for a specific number isn't the goal.

Football has a lot of numbers associated with it so I'd guess it's pretty fair, especially since Moneyball was published. (Assuming football coaches learned from it; I don't actually follow football.) I was actually more interested in your other example of entertainment industry executives.

I am pro-analytics: I think you should measure all the things you can because the numbers can be interesting. But just as you wouldn't judge programmers by lines of code, raw numbers about hiring are only a suggestive data point. To figure out if there's a real issue, we would need to go deeper and look for other things to measure. (But obviously we're not going to do that here in a chat room discussion.)




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