Correlation very much implies causation, it just doesn't guarantee it. After you test that hypothesis, you'd find correlation if the hypothesis was correct. Saying "correlation is not causation" is useful for dismissing data offhand, but where you find causation you'll find correlation.
Also, graphs are demonstrably NOT completely meaningless. They can absolutely be misleading, but they can also accurately depict the underlying data. I think the point of this thread is that the authors of this study have proposed a hypothesis and collected data that supposedly reinforces it. The data (and methodology) can be analysed and verified. There's no need to start from scratch, in this case, to determine if the findings can be substantiated.
I don't know of any group of men in a workplace that would sing songs at random men passing by, or see a man dressed for a particular job role and ask them what they are doing there all by themselves. She was obviously treated differently than they would treat each other.
Yes, it clearly states that on a snapshot of their old web site. They are now going around and changing that information on current web sites. Hence the cries of "revisionist". In fact, their current site says that the "A PAtCHy" version is incorrect, in spite of the snapshot you linked.
"Secondarily, and more popularly (though incorrectly) accepted, it's a considered cute name which stuck. Apache is "A PAtCHy server"."
Also, graphs are demonstrably NOT completely meaningless. They can absolutely be misleading, but they can also accurately depict the underlying data. I think the point of this thread is that the authors of this study have proposed a hypothesis and collected data that supposedly reinforces it. The data (and methodology) can be analysed and verified. There's no need to start from scratch, in this case, to determine if the findings can be substantiated.