The majority of empirical articles that we publish use null-hypothesis significance testing. In most cases, researchers rely on P values to establish the scientific or practical significance of their findings. However, statistical significance alone provides very little information that is useful for making inferences about scientific or policy significance. For this reason, we require authors to provide much more information than just P values — in this Editorial, we explain our requirements.