Fraud, so much fraud
11–20 of 868 posts
Re: Fraud, so much fraud
#12When the experiments are significant, double blind is not enough. You need external auditors when conducting experiments. Preferably separate team making experiments from those who design them.
Re: Fraud, so much fraud
#13Ex: Finding when the exact same image appears in multiple publications, but with different captions/conclusions.
The evidence in this case came from one individual willing to volunteer hundreds of hours producing a side by side of all the reports. But clearly that doesn't scale.
Re: Fraud, so much fraud
#14Re: Fraud, so much fraud
#15Or, in the other hand, now you don't have to manipulate images, you can just generate the ones you need.
Re: Fraud, so much fraud
#16I mean, get this: an extremely gifted Mathematician living on a measly salary in Russia had had his millenium prize almost stolen by a Harvard professor. What more evidence do you need?
Re: Fraud, so much fraud
#17[flagged]
A scapegoat is something that takes on all the sins of a lot of others who skate free. If Masliah is the only one who ever suffers, then he IS a scapegoat, but if this article serves to uncover a lot of other bad actors, then he's not. And if his example serves to warn a lot of other scientists to clean up their acts, then his suffering is a benefit.
Re: Fraud, so much fraud
#18The amazing part about this to me is that the only reason the authors were caught is image manipulation. The fraud in numbers and text? Not so easy to uncover. Prediction: papers stop using pictures entirely
Re: Fraud, so much fraud
#19I blame this behavior entirely on "publish or perish". The demands for novel, thoughtful and statistically-significant findings is tremendous in academe, and this is the result: cheating.
I left professional academia because I resented the grind, and the push to publish ANYTHING (even reframing and recombining the same data umpteen times in different publications) in an effort to earn grants or attain tenure.
The academia system is broken, and it cannot be repaired with minor edits, in my opinion. This is a tear out and do over scenario for the academic culture, I'm afraid.
Re: Fraud, so much fraud
#20For all the complaints about AI generated content showing up in scientific journals, I'm exited for the flip side, where an LLM can review massive quantities of scientific publications for inaccuracies/fraud. Ex: Finding when the exact same image appears in multiple publications, but with different captions/conclusions. The evidence in this case came from one individual willing to volunteer hundreds of hours producin…