I would tend to agree with you. When you use public data you get all the implied imperfections of public data. You can make some vague inferences but since the

I would tend to agree with you. When you use public data you get all the implied imperfections of public data. You can make some vague inferences but since the controls aren't in laboratory conditions the potential for biased results is too high. If they showed individuals with already high acceptance rates received lower acceptance rates on the same code when submitted from a gender identifiable account then I'd find it to be more compelling.