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Breaking the (Benford) Law

2007/07/18 by Wendy K Tam Cho, Wendy K. Tam Cho, Brian J Gaines +1 · 207 citations
Mathematics · #Actuarial science #Benford's law #Benford’s Law and Fraud Detection #Computer science #Data science #Econometrics #Economics #Language change #Linguistics #Mathematics #Statistics

paper · doi:10.1198/000313007x223496

published in The American Statistician 61(3), 218-223 (Taylor & Francis)

openalex publication_date 2007/07/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

Benford's law is seeing increasing use as a diagnostic tool for isolating pockets of large datasets with irregularities that deserve closer inspection. Popular and academic accounts of campaign finance are rife with tales of corruption, but the complete dataset of transactions for federal campaigns is enormous. Performing a systematic sweep is extremely arduous; hence, these data are a natural candidate for initial screening by comparison to Benford's distributions.

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