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Re:Genders.wtf by Shared404 on Wednesday January 11, 2023 @12:43PM (#34341544)
Except if you know that for some hypothetical demographic A and demographic B where all applicants are equally qualified you would expect the hiring to equally reflect both demographics.

If it doesn't, you have an issue. The only way to know for sure is to measure.

E: To be clear, assuming equally qualified candidates, you would want expect hiring proportions to match the same A:B ratio as you get from applications.

Re:Genders.wtf by annyeonghada on Wednesday January 11, 2023 @12:54PM (#34341774)
>you would expect the hiring to equally reflect both demographics

No, I wouldn't expect this at all as I do not expect the height distribution of basketball player to reflect the height distribution of the general population. As I do not expect the personality trait distribution of pop stars to be the same of programmers, and again I do not expect the latter to be similar to the general population. Personal inclination, innate intelligence, talent, conscientiousness, and of course demographics, parenting, generational wealth all play a role.

Re:Genders.wtf by kube-system on Wednesday January 11, 2023 @01:03PM (#34341946)
Height is an inherent advantage to the game of basketball. It is also not a class of people protected by law.

Skin color is not an advantage when programming. It is also a characteristic by which it is illegal to hire a programmer.

Re:Genders.wtf by Shared404 on Wednesday January 11, 2023 @02:52PM (#34343653)
Thus the "assuming equally qualified candidates" in my original post.

That can be measured (imperfectly, but well enough), by filtering only for qualified candidates and then comparing the rate at which both A and B are hired and the rate at which they appear in the filtered list. E: This of course requires the filtering to be done _only_ with knowledge of a candidates skills/accomplishments, and association with demographics (including name, location, etc.) to be done only after the sorting.