Please document your judgement. I'm usually one of the first ones to detect horse shit in women-victimizing papers, usually by matching statistics with reality

Please document your judgement. I'm usually one of the first ones to detect horse shit in women-victimizing papers, usually by matching statistics with reality. For example, given that I've seen many (if not almost all) women in my programming environment being promoted to "managers" earlier than men, statistics about women being paid less in IT "for the same experience" get discredited by the fact that a "manager with 1 year of experience" is not the same when he's had 7 years as a developer under his belt or when she's 24 years old. Studies rarely specify "with the same experience in the current and previous job". Besides the fact that studies are inherently false if they don't explain why women get promoted a lot a lot a lot in the reality I'm witnessing. So you see, I'm open to be on your side. Just in this case, I didn't detect how this study could be biased. Please document, thanks.