3 ms·

> But DEI practices happened not because of anecdotes, but data on systemic bias Often said. Rarely backed up by such data. Efforts to measure bias in tech has

> But DEI practices happened not because of anecdotes, but data on systemic bias Often said. Rarely backed up by such data. Efforts to measure bias in tech has consistently shown preferences favoring women: https://www.pnas.org/doi/10.1073/pnas.1418878112 https://www.pnas.org/doi/10.1073/pnas.1418878112, the chart with the important data: https://www.pnas.org/cms/10.1073/pnas.1418878112/asset/fc20a04b-ec76-419f-8d45-0e4217b249ad/assets/graphic/pnas.1418878112fig01.jpeg https://www.pnas.org/cms/10.1073/pnas.1418878112/asset/fc20a... Study on sending resumes to SV tech companies: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3672484 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3672484, HN discussion on the paperhttps://news.ycombinator.com/item?id=25069644 https://news.ycombinator.com/item?id=25069644 Yet all the DEI programs I've seen firsthand have privileged women over men.

shakna 1y ago
Ok, but "tech" is not just Silicon Valley. And as a whole, there is absolutely bias [0]. In the US, mostly for older, white males, in Europe, mostly for younger white males. [0] https://www.sciencedirect.com/science/article/pii/S0014292122001957 https://www.sciencedirect.com/science/article/pii/S001429212...
- Manuel_D 1y ago
  Your own study showed a preference for women. Look at the row "female gender" in the results table: https://ars.els-cdn.com/content/image/1-s2.0-S0014292122001957-gr5.jpg https://ars.els-cdn.com/content/image/1-s2.0-S00142921220019... More positive bias than negative. None of the DEI programs I've encountered have focused on age or disability. Only race and gender, mostly the latter.
test098 1y ago
That study didn't "measure bias in tech": "Here we report five hiring experiments in which faculty evaluated hypothetical female and male applicants, using systematically varied profiles disguising identical scholarship, for assistant professorships in biology, engineering, economics, and psychology."
- Manuel_D 1y ago
  The study found that that female applicants have 2x the positive vote rate as identically qualified male applicants when applying for faculty STEM positions (the study investigated other fields too). I'm not sure how this isn't evidence of bias. If I create identically qualified black and white applicants and the latter are reviewed positively at 2x the rate as the former is not not evidence of racial bias?

shakna 1y ago

Ok, but "tech" is not just Silicon Valley. And as a whole, there is absolutely bias [0]. In the US, mostly for older, white males, in Europe, mostly for younger white males. [0] https://www.sciencedirect.com/science/article/pii/S0014292122001957 https://www.sciencedirect.com/science/article/pii/S001429212...

Manuel_D 1y ago
Your own study showed a preference for women. Look at the row "female gender" in the results table: https://ars.els-cdn.com/content/image/1-s2.0-S0014292122001957-gr5.jpg https://ars.els-cdn.com/content/image/1-s2.0-S00142921220019... More positive bias than negative. None of the DEI programs I've encountered have focused on age or disability. Only race and gender, mostly the latter.

test098 1y ago

That study didn't "measure bias in tech": "Here we report five hiring experiments in which faculty evaluated hypothetical female and male applicants, using systematically varied profiles disguising identical scholarship, for assistant professorships in biology, engineering, economics, and psychology."

Manuel_D 1y ago
The study found that that female applicants have 2x the positive vote rate as identically qualified male applicants when applying for faculty STEM positions (the study investigated other fields too). I'm not sure how this isn't evidence of bias. If I create identically qualified black and white applicants and the latter are reviewed positively at 2x the rate as the former is not not evidence of racial bias?