• DOI:10.1080/02664760601004940
Corpus ID: 117402608

Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data

@article{Diekmann2005NotTF,
  title={Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data},
  author={A. Diekmann},
  journal={Journal of Applied Statistics},
  year={2005},
  volume={34},
  pages={321 - 329}
}

A. Diekmann

Published 2005

Mathematics

Journal of Applied Statistics

Abstract Digits in statistical data produced by natural or social processes are often distributed in a manner described by ‘Benford's law’. Recently, a test against this distribution was used to identify fraudulent accounting data. This test is based on the supposition that first, second, third, and other digits in real data follow the Benford distribution while the digits in fabricated data do not. Is it possible to apply Benford tests to detect fabricated or falsified scientific data as well… CONTINUE READING

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