# Generalized Benford’s Law as a Lie Detector

@article{Gauvrit2017GeneralizedBL, title={Generalized Benford’s Law as a Lie Detector}, author={Nicolas Gauvrit and Jean-Charles Houillon and J. P. Delahaye}, journal={Advances in Cognitive Psychology}, year={2017}, volume={13}, pages={121 - 127} }

The first significant (leftmost nonzero) digit of seemingly random numbers often appears to conform to a logarithmic distribution, with more 1s than 2s, more 2s than 3s, and so forth, a phenomenon known as Benford’s law. When humans try to produce random numbers, they often fail to conform to this distribution. This feature grounds the so-called Benford analysis, aiming at detecting fabricated data. A generalized Benford’s law (GBL), extending the classical Benford’s law, has been defined…

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