Abstract: I propose a method to assess the sensitivity of statistical analyses to the removal of a small fraction of the data. Manually checking the influence of all possible small subsets is computationally infeasible, so I provide an approximation to find the most influential subset. My metric, the ``Approximate Maximum Influence Perturbation,'' is automatically computable for common...