When I first looked at placement statistics at the Philosophy Smoker I performed some analyses that I shouldn't have. First, I performed too many analyses. Second, I used the wrong kinds of analyses for some of the data. I did not imagine that these statistics would take off as they did and I was overworked*, which contributed to some mistakes on my part. One of these mistakes was running correlation analyses over gender:
I also found a negative correlation between PhD granting institution and number of publications (-.17: the lower your PhD granting institution is ranked the more peer-reviewed publications you have) and between gender and number of publications (-.21: if you are a man you likely have more publications than if you are a woman).
While at the time I suspected that this negative correlation had to do with the increased difficulty women have in publishing their work, others worried that women had an upper hand on the job market. I brushed off this latter worry because the proportion of women who found tenure-track jobs was about the same as the proportion of women who obtain PhDs in philosophy. In fact, in the 2011-2014 data set I found that there is not a significant difference between the proportion of women who graduate from each department and the proportion that find tenure-track jobs from each department (but there is a significant difference for postdoctoral/VAP/instructor positions, which are awarded to a smaller proportion of women relative to women graduates). But this worry regularly comes up in comments and I feel a responsibility for having possibly led people astray with analyses I shouldn't have used in the first place. For that reason, I want to provide some more appropriate analyses here, as clarification on the relationship between gender and publications in the placement data from 2011-2012 and 2012-2013. Those who want to check this work can use the spreadsheet at the bottom of the post here, which is the one I used. (I do not use the more recent data because I decided not to collect publication data in this last round, due to time constraints.)