I think that is a very difficult conclusion to draw. There are a lot of factors in there that are impossible to control. We can't really isolate cultural and historical trends. Yes, we can measure a difference that significantly correlates with sex, but it is a bit naive to draw causal conclusions.
But I still agree that equal outcome metrics are misguided. It is too lazy of a metric and statistics will mess it up very quickly with such things as Simpson's or Berkson's paradoxes. These are far too easy to fall prone to. Besides that, the question seems to be more about if the reason for these differences are due to biology or society (rather, which one is more significant), not that the differences don't exist (i.e. causal). But coming up with good metrics to determine what is going on is difficult. I do not think a metric should become a target though, and we have to be more careful in nuanced in our approach.
But I still agree that equal outcome metrics are misguided. It is too lazy of a metric and statistics will mess it up very quickly with such things as Simpson's or Berkson's paradoxes. These are far too easy to fall prone to. Besides that, the question seems to be more about if the reason for these differences are due to biology or society (rather, which one is more significant), not that the differences don't exist (i.e. causal). But coming up with good metrics to determine what is going on is difficult. I do not think a metric should become a target though, and we have to be more careful in nuanced in our approach.