Uri Simonsohn

Uri Simonsohn is a behavioral scientist (Esade Business School, Barcelona) and a co-founder — with Leif Nelson and Joseph Simmons — of Data Colada, the research-integrity blog that has driven several high-profile retractions in psychology. He is known for methods that catch questionable research from published statistics alone: "p-curve" analysis for detecting p-hacking, and a fabrication-detection technique that flags data whose summary statistics show "excessive similarity" — agreement too tight to have come from independent random sampling.

In this vault Simonsohn is the modern, quantitative anchor of the "suspicious perfection" cluster: the leg closest to being a citable method rather than a one-off historical verdict. His forensics operationalize with statistics the same inference Fisher applied informally to Mendel's peas — real independent processes carry noise, so its absence is a signature of a defect in provenance.

References

• claim-simonsohn-fabrication-flagged-via-excessive-similarity-to-random-sampling — the "excessive similarity" fabrication-detection method.
• claim-chiou-2013-coin-size-study-retracted-for-excessive-similarity — a concrete case he caught and saw retracted (p<.000025).
• observation-suspicious-perfection-independence-absence-signals-defect — the general law his method formalizes.
• moc-too-clean-to-be-real — the data-forensics map that cross-links his method as the "too clean" test's home.