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No: the overwhelming majority of law school graduates end up in established legal practices that employ many attorneys. It's possible that not even a plurality of CS graduates end up as software developers at software firms; a huge number of CS graduates end up writing line of business software for insurance companies, or on their QA teams.

Law schools can exert pressure on law firms in ways that CS programs can't exert pressure on technology firms.

Do law firm hires endure hazing rituals like those in technology? I don't know. I doubt it. First-year associate hires aren't high-stakes the way tech hires are; the legal profession is structured around an "up or out" process that admits entrants to the profession mechanically. The technology profession as a rule does not, and relies intensely on status indicators.

You've agreed with me on that last point in the past, so I'd be surprised to hear you contest it now.

Here it's worth noting: the law profession does have gender equality issues; they just take place at a tier of the profession higher than where they happen in technology. But consider the implication of law forestalling the gender reckoning and tech front-loading it: entrants to the law field start amongst a relatively balanced cohort of coworkers. They get a foothold. They get experience working on real projects for partners. They get a track record. They have a different experience than minority entrants to technology.

Once again: the feeling of being singled out by your gender when you represent a tiny minority is different than being approached when you have a solid peer group of the same gender.

Hey: while I'm at it: I consult for F500 companies that build LOB apps. You can imagine that banks and hedge funds are more concerned about security than cat-sharing startups. Women are in my experience over the last ~9 years better represented in software jobs at non-software companies than they are in startups. Tech employees at banks and insurance companies are hired more mechanically and with less rubber-chicken voodoo than they are at startups. I don't think this is a coincidence.



No: the overwhelming majority of law school graduates end up in established legal practices that employ many attorneys. It's possible that not even a plurality of CS graduates end up as software developers at software firms; a huge number of CS graduates end up writing line of business software for insurance companies, or on their QA teams.

I don't think I fully understand the preconditions for your theory, so let me try to carefully state it. Being asked out + diversity of work situations + mostly internal department rather than external firm + non-rigorous interview process => women won't go from 0 to 50%.

Did I miss any preconditions? If I did, could you carefully list them?

Fun fact: HR (lots of women) satisfies these properties, near as I can tell. HR drones certainly ask me stupid non-rigorous interview questions, I'm sure they ask the same of each other. So there should be a dearth of women in HR?

Incidentally, the process I'm doing here was described by Scott Alexander yesterday. Basically I'm "feynmaning" you - finding examples which satisfy your preconditions but not your conclusion. http://slatestarcodex.com/2014/08/12/does-race-exist-does-cu...

You've agreed with me on that last point in the past, so I'd be surprised to hear you contest it now.

Let me repeat myself one more time. I don't disagree with you on this. I also don't disagree with your claims about people's subjective feelings. I don't think it's unique to tech, which makes it a poor explanation of a tech-specific phenomenon. Finance certainly uses similar interview techniques, and mid-office finance (besides IT) has no shortage of women.

Incidentally, if your observations about banks/f500 vs startups are correct and generalizeable, then your theory explains part of the discrepancy. Specifically, it explains the delta between startups and f500, but not the delta between f500 tech and f500 HR. It's not the only explanation that part of the discrepancy - risk aversion also works, and to me seems simpler. But I can't immediately reject your theory for that portion of the discrepancy.




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