In case anyone is interested in spot-checking whether this analysis captures all of the pre-2016 studies that deal with gender bias in peer review, a Google Sch

In case anyone is interested in spot-checking whether this analysis captures all of the pre-2016 studies that deal with gender bias in peer review, a Google Scholar search is a good starting point: https://scholar.google.com/scholar?q=gender+bias+peer+review&hl=en&as_yhi=2015 https://scholar.google.com/scholar?q=gender+bias+peer+review... Assuming the results are valid, and most of the studies that show bias toward men have small sample sizes and most of the studies that show bias toward women have larger sample sizes, I wonder whether it might be that bias is affecting the makeup of the studies themselves. For instance, if there is actually a bias against women in peer review, could it be that the same forces that lead to a bias against women's research also lead to a bias against studies that show there is a bias against women's research? Keep in mind, the studies in this analysis represent only what got through the gate of peer review; if that gate is biased, then we don't necessarily know whether there is additional credible research that didn't get through because of bias. I'm not necessarily arguing that this is the case. But it would be an interesting way for people who do believe the bias exists to respond to this analysis.