It relies on a powerful statistic called the Mahalanobis distance to determine the likelihood of prospective economic scenarios. This statistic was originally derived in the early 20th century by an Indian mathematician to analyze human skulls, and it has since been applied to measure turbulence in the financial markets, diagnose diseases, detect anomalies in self-driving vehicles, and construct an index of the business cycle.