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Journal editors attempt to judge which papers will have the greatest impact and interest and consequently choose those with the most surprising, controversial, or novel results. As you’ve seen, this is a recipe for truth inflation, as well as outcome reporting and publication biases, and strongly discourages replication studies and negative results.
Statistics Done Wrong: The Woefully Complete Guide
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