The irony of this "study" of fraudulent nonsensical papers submitted to gender studies/critical theory journals is that it is itself the epitome of the shoddy scholarship it purports to unmask. Let's #peerreview it. areomagazine.com/2018/10/02/aca…
1) This study lacks the most basic controls. If you want to argue these papers were accepted because of their notional field of study, then you have to submit similarly nonsensical papers to journals in other fields.
Fortunately, although this is not cited by the authors (a manifestation of their shoddy scholarship) such a control was recently carried out by John Bohannon in a completely different field. science.sciencemag.org/content/342/61…
This is such a disingenuous sleight-of-hand - rebranding the idea that one should share published data as sinister "open science" in order to argue for data hoarding blogs.scientificamerican.com/observations/h…
Sharing published data isn't "open science", it's "science"
To dismiss improving upon someone else's work and data as "competition" is to misunderstand the whole point of the scientific enterprise.
I do not understand how David Reich and other geneticists find it so easy to slide from arguing that there might be mean population differences between different groups of humans to claiming that characterizing such differences will be useful somehow
Even if you stipulate that there's some genetic association between ancestry and some clinically or prophylactically actionable phenotype, isn't the whole point of modern genetics to ID the relevant variants so we can make predictions at the individual rather than group level?
Yes, in the absence of knowing someone's genotype the inferences one can make based on ancestry might have some narrow practical value. But surely this is transitory.