Covert, hidden practices make fraud difficult to detect, but we use a wide array of tools to uncover them
Historical data and regression analysis identify anomalies in county-level data and can show whether
a given election outcome is within the bounds of what would be predicted by
previous events.
Benford’s Law, a statistical technique originally
developed to detect financial fraud, examines the distribution of
election returns across geographic units and test whether they differ from
expected patterns.
Vote flow analysis detects anomalies and potential
manipulation.
