The document summarizes a meetup about Benford's law and its applications in detecting fraud. Benford's law states that in many real-life datasets, the digits 1 through 9 occur with different frequencies as first significant digits, with 1 appearing more often than 2. The meetup discussed how analyzing the frequency of first significant digits can help detect accounting fraud, election irregularities, scientific misconduct, and fake social media accounts. Examples were given showing how Benford's law identified over 90% of Russian Twitter bots by their deviation from the expected digit distribution.