Reposted by Elisabeth Bik
Extremely concerning stuff in scientific integrity 🩺
cc: @elisabethbik.bsky.social
www.nature.com/articles/d41...
www.nature.com/articles/d41...
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Here it seemed they were all studying the same, very specific topic. They might be citing the same papers and perhaps serve as a citation vessel. But they might be part of a much bigger mill, all with the time line image and some random topic plus AI
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Here is what I found.
Congratulations to the winners of this round:
@psbrookes.bsky.social
@krakramille.bsky.social
@labhaas.bsky.social
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That is correct!
Congratulations on winning the third and last Emoji Award.
🏅
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There are more similarities, but you won the second Emoji Award. Congrats!
🏅
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Yay!
Also note tops of lanes 4 and 6.
Congratulations!
🏅
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#ImageForensics
A very easy one today. Tell me what is wrong about this image (and I do not mean over-loading).
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I do not know enough about machine learning to analyze these papers. But some things to look at:
Are there any shared authors? or new set of authors for each of these papers? Are they all about coal-mine 'bumps'?
If no to the first q and yes to the second, that is suspicious.
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Here is another post from 2014 with the same graph:
kushagrathakur.blogspot.com/2014/11/mach...
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