Elson strongly criticizes the current error detection methods in science, asserting that the reliance on coincidental discovery is ineffective for maintaining research integrity.
The Reinhart and Rogoff case illustrates the dangers of unsubstantiated influential studies; a simple replication by a student exposed critical errors that undermined the original conclusions.
Elson's ERROR project aims to systematically improve research accuracy by compensating reviewers to detect errors in significant psychological studies, promoting accountability among researchers.
This initiative recognizes that examining the reliability of high-impact research is crucial, as misleading findings can lead to harmful real-world consequences, like poor economic policies.
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