Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

I agree, and would add lack of statistical power to the list. Underpowered studies (e.g. small effects, noisy measurement, small N) decrease the changes of finding a true effect, paradoxically increasing the risk of false positives.

It's immensely frustrating that we haven't made a lot of progress since Cohen's (1962) paper.



Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: