Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]

Post by commandlinefan » Thu, Nov 12, 2020, 4:30 PM UTC

enraged_camel wrote: post #143

treeman79 wrote: post #118

Earlier quoted context omitted.

Ah, that’s another common attitude. I’m white so I HAVE to admit to my racism. People don’t like it being called out on it. Had some girl come up to me and demand I apologize for being a a man, and how that’s kept her out of tech. I have many daughters and work hard to show them programming and other concepts. So yeah, she was flat being sexist. As a child I saw pictures of a crowd shouting at a a black girl for goin…

>> Ah, that’s another common attitude. I’m white so I HAVE to admit to my racism. No, but you should admit your privilege, which is a result of collective racism and sexism. This doesn't mean you yourself are racist or sexist. It does mean you benefited from those things. This doesn't mean it is your fault. It does mean you should at least try to empathize with people who are angry about it. The fact of the matter is…

Post by GhostVII » Thu, Nov 12, 2020, 4:40 PM UTC

Communitivity wrote: post #93

HideousKojima wrote: post #60

Earlier quoted context omitted.

>From personal experience and the teams I've been on, women have always been in the [minority], along the lines of 8-10 men for every two women. That's because fewer women overall are applying for such jobs relative to men. Those that are applying are more likely to be hired.

That could be. I have seen women managers in charge of hiring who had a more balanced team. However, my anecdotal experiences are nowhere near enough of a sample to draw real conclusions from. If there are fewer women going into tech, that also may represent a problem. Here I have more personal experience, as my daughter is interested in digital graphic design and programming. She has faced criticism for this choice…

Post by Communitivity » Thu, Nov 12, 2020, 4:55 PM UTC

giantg2 wrote: post #99

Communitivity wrote: post #12

Surprising study results regarding women being more likely to receive a callback than men. From personal experience and the teams I've been on, women have always been in the minority, along the lines of 8-10 men for every two women. However, I am not in Silicon Valley. We need more studies in this area. I'd also like to see studies that include other possible sources of discrimination (gender identity, age) that are…

"We need more studies in this area. I'd also like to see studies that include other possible sources of discrimination" I'd love to see this based on culture and personality too. I've been on teams that seem to look down on you if you live within your means and thus aren't able to fully participate in discussing the latest gadgets, like people's new Tesla's and BMWs when you drive a no-frills work truck that doesn't…

Post by raxxorrax » Thu, Nov 12, 2020, 5:04 PM UTC

hello_1234 wrote: post #115

treeman79 wrote: post #36

Personal experience. Got hired into a company that did everything possible to avoid hiring straight white men. Everything was completely dominated by not offending anyone over anything. Unless you were the aforementioned group. Turns out there simply isn’t a lot of the right race/gender/sex. I’m sure that’ll be different as time progresses, but for now there is clearly some catching up to do. So it was all jr develop…

That your post is on the top shows the "white male" bias in hackernews audience. People are up-voting your personal anecdote and your "I am a white male victim" post more than the discussions about the actual results on the original article.

Post by monoideism » Thu, Nov 12, 2020, 5:15 PM UTC

iguy wrote: post #48

monoideism wrote: post #29

Earlier quoted context omitted.

> I'm skeptical that this actually captures what hiring managers or recruiters care about when looking at resumes, You're in the tech industry and you honestly are skeptical that recruiters and hiring managers at most companies aren't extremely eager, to say the very least, to hire female candidates?

But regardless of whether the outcome fits your priors or not, you may wish to know whether the study has decent evidence, or is just noise. And GP has a good point. The authors have some automated scheme for grading how well-qualified people are. The recruiters also have some such scheme. If these two schemes differ, and the distributions aren't identical between the groups being compared, then you will detect group…