Why Published Research Findings Can Be False

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.

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.