> Here is the most glaring problem with this analysis: It cobbles together a dataset of “professional profiles” which lack the two of the most central datapoints to studying the gender pay gap issue:<p>> Actual GENDER of the individuals whose profiles are being analyzed<p>> Actual PAY (compensation) for those same individuals<p>> To compensate for the missing data, the team uses a machine-learning model to infer gender; and attempts to join the de-identified “professional profiles” to salary data from the US Bureau of Labor Statistics… which is impossible to do at the individual level.<p>Well, it is, as someone said (from my aging memory): "Mckinsey is to middle class, what flesh eating bacteria is to human skin".<p>P.S. Why it is so difficult to select something on Android ?