C001¶


Research	R0007 — AI Made Everyone Faster
Run	2026-03-19
Claim	C001

Claim: O'Boyle and Aguinis (2012) studied five studies, 198 samples, 633,263 individuals across researchers, entertainers, politicians, and athletes and found individual performance follows a power-law distribution, not a normal distribution. The top decile produces roughly 30% of total output; the top quartile produces over 50%.

BLUF: The study parameters (five studies, 198 samples, 633,263 individuals, power-law finding) are confirmed by multiple independent sources. However, the specific output concentration figures (top decile = 30%, top quartile > 50%) could not be independently verified from available sources and may be derived interpretations rather than direct findings reported in the paper.

Probability: Likely (55-80%) | Confidence: Medium

Correction needed: The core study parameters and power-law finding are almost certainly correct. The specific output concentration percentages (30% and 50%) require verification against the original paper text and may represent approximate derivations from the Paretian distribution parameters rather than directly reported findings.

Summary¶

Entity	Description
Claim Definition	Claim text, scope, status
Assessment	Full analytical product with reasoning chain
ACH Matrix	Evidence x hypotheses diagnosticity analysis
Self-Audit	ROBIS-adapted 4-domain process audit

Hypotheses¶

ID	Hypothesis	Status
H1	Claim is accurate as stated	Inconclusive
H2	Core findings correct but output percentages are approximate/derived	Supported
H3	Claim is materially wrong	Eliminated

Searches¶

ID	Target	Results	Selected
S01	O'Boyle Aguinis 2012 power law study parameters	10	4

Sources¶

Source	Description	Reliability	Relevance
SRC01	O'Boyle & Aguinis (2012) via Semantic Scholar and Wiley	High	High

Revisit Triggers¶

If the original paper text is obtained and the 30%/50% figures are confirmed or refuted as direct findings
If a replication study challenges the power-law interpretation