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Why is gender included to begin with? It just adds extra, unneeded noise to the data.


It lets you look at things like "are women being paid less than men" and see how that interacts with location, experience level, salary-vs-bonus, etc.


I would except ALL aspects of demographics would be useful here. Not just gender but ethnicity, age hell I could even see height being useful considering you hear a lot of "you have to be taller to be CEO" crap; it would be interesting if there is anything to those stereotypes.




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