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R0007/2026-03-19/C003/SRC01

Research R0007 — AI Made Everyone Faster
Run 2026-03-19
Claim C003
Search S01
Result S01-R01
Source SRC01

Aguinis et al. (2016) — Conductors and Insulators of Heavy-Tailed Productivity Distributions

Source

Field Value
Title Cumulative Advantage: Conductors and Insulators of Heavy-Tailed Productivity Distributions and Productivity Stars
Publisher Personnel Psychology (Wiley)
Author(s) Herman Aguinis, Ryan K. Gottfredson, Harry Joo
Date 2016
URL http://ww.hermanaguinis.com/pdf/PPsych2016a.pdf
Type Research paper

Summary

Dimension Rating
Reliability High
Relevance High
Bias: Missing data Low risk
Bias: Measurement Low risk
Bias: Selective reporting Low risk
Bias: Randomization N/A — not an RCT
Bias: Protocol deviation N/A — not an RCT
Bias: COI/Funding Low risk

Rationale

Dimension Rationale
Reliability Published in a top-tier peer-reviewed journal. Extends the authors' previous work with additional empirical analysis.
Relevance Contains the exact statistic cited in the claim, though from a different year than claimed.
Bias flags No significant bias concerns.

Evidence Extracts

Evidence ID Summary
SRC01-E01 82.53% of 229 samples had significantly heavy right tails
SRC01-E02 This finding is from the 2016 paper, not the 2014 paper