Calling Bullshit 7.5: Publication Bias
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- เผยแพร่เมื่อ 8 ก.ย. 2024
- Journals prefer to publish positive results and scientists prefer to submit successful experiments. This can be misleading given that we typically can look only at the published literature.
May 10, 2017
Course: INFO 198 / BIOL 106B. University of Washington
Instructors: Carl T. Bergstrom and Jevin West
Synopsis: Our world is saturated with bullshit. Learn to detect and defuse it.
The course will be offered as a 1-credit seminar this spring through the Information School at the University of Washington. We aim to expand it to a 3 or 4 credit course for 2017-2018. For those who cannot attend in person, we aim to videotape the lectures this spring and make video clips freely available on the web.
callingbullshit...
/ callin_bull
callinBS
bullsht.course@gmail.com
Information School ischool.uw.edu/
Department of Biology www.biology.wa...
Video edited by Bum Mook Oh
Music by Chris Zabriskie: Prelude No.7
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If you have theory and expect a relationship also finding "no result" is interesting.
A few years ago we submitted a paper based on a long, arduous, and painstaking clinical research project. The finding was somewhat unexpected and, we thought, very important. When it was reviewed one of the reviewers said "this just can't be true" and for that reason the study was rejected. After that it became clear to me that in my field there were findings that were acceptable a priori and that other findings would be rejected. Modern social science has the appearance of the pursuit of truth, but the reality is something far more human.
Maybe there's a gap in the market for a 'Journal of Null Hypothoses'
Isn't that something you can use Arxiv or Biorxiv for?
This seems to ignore the more nefarious, and honestly more realistic reason, why publishing bias exists, which is to not publish studies that show outcomes undesirable relative to the consensus.
Question: How do you know only 1 in 400 have the disease. The test would give you 4 people, so there has to be a second test to prove 3/4 were false positives. Correct? Wouldn't that therefore become the test, or a two pronged test, to prove 1:400? I know you are only making a simplistic point, but do you understand the question?
If I understand your question correctly: in medicine tests of this sort will typically be initial screenings. There are often more accurate (and expensive or invasive) follow up tests than can be used for more accurate diagnosis. These are used to determine prevalence.
Part of the problem has been identified as Peer Review Rings with vested interest in promoting each other’s research no matter if the concept is valid or not . True or not true . The root cause of this is a lack of moral values within academia.
please check your slide at 6:50. specify whether hypothesis means null or alternative hypothesis. and depending on your choice, you should probably switch the two illustrations.
haha, this lecture is a nice piece of b...sh..! it starts with the question, why so many scientific findings can't be replicated and then answers the completely different question why it's virtually impossible to infer the truth from a whole bunch of publications! replicability is a problem of individual studies, while publication bias is about the total (or a relevant share) of publications addressing a specific topic. ioannidis' argument explains low replicability, that's the true culprit here (together with sloppily executed or reported studies etc.)!
Doesn't the connection make sense? Positive studies are more likely to be published in journals, and a lot of them don't replicate, because many of them tend to be flukes that got published due to publication bias... Or maybe you mean that the problem is that all the negative replications don't get published?
"Online only" publication for less exciting news.
boy this aged poorly
How so