AI Weekly Malaysia

Data Colada presents evidence that the data in Dan Ariely and Wertenbroch's influential 2002 procrastination study (Studies 1 and 2) was tampered with. The findings come after a replication attempt by Hyndman and Bisin failed, and Ariely denied permission to include analysis of the original data files in the replication paper, arguing the files may not be the actual data.

Why: If you've cited or built product/behavioral-economics assumptions on Ariely's deadline-precommitment findings, those results are now under serious fraud suspicion—revisit any UX or policy decisions that leaned on the 'artificial deadlines improve performance' claim. For AI/ML learners, it's a concrete reminder that even highly-cited, widely-taught studies can be fabricated, so validate behavioral datasets before training on or referencing them.