Doing research is hard. Getting statistically significant results is hard. Making sure the results you obtain reflect reality is even harder. In this week’s Science, Eric Loken at the University of Connecticut and Andrew Gelman at Columbia University debunk some common myths about the use of statistics in research — and argue that, in many cases, the use of traditional statistics does more harm than good in human sciences research.
Retraction Watch: Your article focuses on the “noise” that’s present in research studies. What is “noise” and how is it created during an experiment?