Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
Testing for statistical significance should be an aid to interpreting scientific results, and — when applied sensibly — to decision-making. It should not be a mindless quest for verification (see V. Amrhein et al. Nature 567, 305–307; 2019). In my experience, the correction of P values for multiple testing — a valuable tool in the fight against P hacking and in the proper interpretation of genome-wide association studies, for example — is being comparably abused through ignorance.