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Re:FCC Chair Brendan Carr is letting ISPs merge–as long as t... by Manuel_D on Monday May 19, 2025 @08:15PM (#44036408)
> 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, the chart with the important data: 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, HN discussion on the paperhttps://news.ycombinator.com/item?id=25069644

Yet all the DEI programs I've seen firsthand have privileged women over men.

Re:FCC Chair Brendan Carr is letting ISPs merge–as long as t... by shakna on Tuesday May 20, 2025 @02:45AM (#44038489)
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/S001429212...

Re:FCC Chair Brendan Carr is letting ISPs merge–as long as t... by Manuel_D on Tuesday May 20, 2025 @11:42AM (#44042877)
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-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.

Re:FCC Chair Brendan Carr is letting ISPs merge–as long as t... by test098 on Wednesday May 21, 2025 @05:06PM (#44056325)
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."

Re:FCC Chair Brendan Carr is letting ISPs merge–as long as t... by Manuel_D on Saturday May 24, 2025 @05:27PM (#44083912)
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?