Falsifying Causal Graphs With Outlier Events

William Roy Orchard submitted a paper proposing statistical tests to falsify candidate causal graphs by examining whether they can explain the propagation of outlier events. The approach relies on the principle that "weak outliers rarely cause strong ones." The tests offer false positive control, power guarantees against incorrect causal graphs, and can operate with a single outlier sample.