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Optional stopping and data peaking in experimental science
Optional stopping in experimental science is akin to changing the criteria or sample size of a study until desired results are obtained, leading to biased outcomes. This practice, also referred to as data peaking, can inflate the significance of results and undermine the reliability of the study findings.