Stephen Wild
stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
👤 Joined on 07 mayo 2023
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We also shouldn’t find ourselves surprised there are so few experts who are strongly in the camp of “meta caused harm”. Good luck when your quasi experimental approach hits reviewers whose SUTVA violating withdrawal experiments found nada. Faculty gig? It went to the former meta employee.
Show PostUp top I should say meta and industry funded. Please do read that paper if you feel mad about this thread.. it’s a dynamic that is the problem not personal choices and virtue.
Show PostSo no, meta isn’t paying you to say the jury is out on their products but consistent career support (fellowships, internships, grants) isn’t offered to people whose methods find harm. How does that shape the way in which we understand their products?
Show PostOf course you can guess where this is going… the drugs increased rates of death. The researchers weren’t corrupt and many with industry funding were involved in correcting the record. Nevertheless the industrial bias got a lot of people killed.
Show PostMeasuring arrhythmia surpresion rather than cardiac death became the norm across researchers with and without funding from industry. The drugs were commonly prescribed to ostensibly reduce risk of death.
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