Is Most Published Research Wrong?
8 人推荐 · 跨 8 个月 · 2017–2025
中文导读
科普频道 Veritasium 深度解析了为何大量已发表的科研论文结论可能是错的。内容涵盖 p 值陷阱、p-hacking（数据钓鱼）、期刊发表偏差以及极低的复现率，并引用了 John Ioannidis 的经典论文与预注册等改进方案。
为什么 HN 推它
每当学术界曝出水论文、复现危机或对 p<0.05 机械崇拜的争论时，HN 网友总会贴出这个视频作为最通俗有力的避坑指南。
「想要搞清楚科学界假阳性问题，这是绝佳的入门课。」HN 网友原话：This video is a good primer
英文原摘要（HackerTube / Claude 整理）
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.
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.
HN 上的提及
Videos demonstrating this with examples
There's an interesting video by Veratasium "Is Most Published Research Wrong?
This video walks through an example calculation and what kinds of steps are being taken to improve on things.
Cited on bad papers and low p-value standards.