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An Introduction to Statistics through Benford’s Law for Fraud Detection

If you’re wondering if there’s something a bit fishy about a dataset, but you don’t know where to start looking, you might get some relief from a weird quirk of numbers called Benford’s Law that’s ready to help in your search. Largely forgotten about for 80 years, it’s become a handy part of a fraud investigators toolkit in the last decade. Learn how to use it in your investigations, and pick up a brief introduction to using statistics at the same time.

Technical Requirements

Own laptop required.

4 July 2019 – #CIJSummer 2019/DAY 1

12:00–13:00
An introduction to statistics through Benford’s Law for Fraud Detection

Andrew Salerno-Garthwaite

Dr Andrew Salerno-Garthwaite is a freelance journalist and editor with interests in OSINT, data journalism and international development. He was highly commended for statistical excellence in investigative journalism by the Royal Statistical Society in 2020 for his work at the Financial Times on the Democratic Republic of Congo election fraud.
  • 4 July 2019 12.00–13.00
Location: Room 102 - PSH Building - Goldsmiths, University of London
Workshop
All levels
Crime
Data