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

  title={Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data},
  author={A. Diekmann},
  journal={Journal of Applied Statistics},
  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
    134 Citations
    Two digit testing for Benford's law
    • 3
    • PDF
    Benford's Law as an Instrument for Fraud Detection in Surveys Using the Data of the Socio-Economic Panel (SOEP)
    • 10
    • PDF
    When Does the Second-Digit Benford’s Law-Test Signal an Election Fraud?
    • 16
    Testing for Benford's Law: A Monte Carlo Comparison of Methods
    • 1
    Does Benford’s Law hold in economic research and forecasting?
    • 45
    • Highly Influenced
    • PDF
    Benford’s Law as an Indicator of Fraud in Economics
    • 40
    Sensitivity to statistical regularities: People (largely) follow Benford’s law
    • 10
    • PDF


    A Statistical Derivation of the Significant-Digit Law
    • 551
    • Highly Influential
    • PDF
    Data fabrication: Can people generate random digits?
    • 31
    • 87
    • PDF
    Patterns in Listings of Failure-Rate & MTTF Values and Listings of Other Data
    • 19
    • PDF
    Base-Invariance Implies Benford's Law
    • 210
    • Highly Influential
    • PDF
    Terminal Digits and the Examination of Questioned Data
    • 19
    The Peculiar Distribution of First Digits
    • 86