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This reminds me of a talk I watched about research into human pheromones. The speaker talked about how literature and studies on pheromones all lead back to 1
by ravenstine 6y ago
This reminds me of a talk I watched about research into human pheromones.
The speaker talked about how literature and studies on pheromones all lead back to 1 or 2 old studies that were basically considered bunk, but researchers kept citing it, and other researchers would also cite the other studies that linked back to the original low-quality studies. His point was that the whole field of research into human pheromones needs to blow away all the literature up to this point and start over because the whole thing is so tainted, and few are willing to actually make sense of what's true or false with what currently exists because so much of it is self-referential.
It wouldn't surprise me in the least that there are other areas of science that border on needing to start from scratch.
EDIT: I believe it may have been this talk, but I don't have time to scan the whole thing just yet. It looks like he begins talking about the problematic research after ~17 minutes. It's still worth watching none the less:
https://www.youtube.com/watch?v=zLENtzBbXdY https://www.youtube.com/watch?v=zLENtzBbXdY
- deleted 6y ago[deleted]
- H_Pylori 6y agoI call it "The founder effect" of bad studies. Essentially the first few studies set the tone for the rest of the field, and it's very hard to correct the course due to the momentum. I'm glad people are starting to notice.
- ncmncm 6y agoIt would surprise me if there were any areas of science that were not heavily citing falsified papers. We are perhaps fortunate that most cited papers are not read.
- nraynaud 6y agoMathematics and the non ml part of computer science should be ok, I guess. Everything that doesn’t involve data, maybe ? I’m making this on the fly.