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={Andreas Diekmann},
  journal={Journal of Applied Statistics},
  year={2005},
  volume={34},
  pages={321 - 329}
}
  • A. Diekmann
  • Published 1 April 2007
  • 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… 

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