This leaves valuable data sitting in the ‘file drawer’, and creates a positive bias to what appears in the literature. We do not know what we are not being told. This positive bias is made worse by ‘discoveries’ that are more likely to be accepted for publication in more prominent journals, an unwillingness to publish replications, and of course all the questionable research practices that we have seen can lead to exaggerated statistical significance.
