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Is Most Published Research Wrong?
Veritasium · 8 recommenders · 8 months
Veritasium explains why a large share of published research findings may be false, covering p-values, p-hacking, publication bias and low replication rates. It draws on John Ioannidis's well-known paper and describes reforms such as preregistration.
Why Hacker News readers recommend it: HN commenters link it whenever a shaky study or the p<0.05 threshold comes up, as a short primer on false positives in science.
Scientific method & science communicationData science & statistics#p-values#p-hacking#replication crisis#statistics#publication bias
“This video is a good primer”
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