Earlier quoted context omitted.
> From a brief scan of the study they didn't control for hours worked and they are already down to 5.9% Why is it a foregone conclusion that the majority of women in this population worked fewer hours? A forbes study which averages across a large canvas of american workers is not a very good thing to compare to glassdoor's targetted subsection.
The women surveyed could have worked more hours than the men. But by not controlling for it you reduce the studies explanative powers. You don't get to just ignore it because it is convenient. It doesn't even pass the "more likely than not" standard of evidence.
It also seems to me that that signal would show up weakly in the data because it wouldn't vary the immediate effect on apples-to-apples salary, only on promotions and possibly referrals.
So I think your complaint is specious and the inclusion of a totally unrelated data point from a radically different dataset is either very misguided or profoundly disingenuous.