In the classic 1944 film noir, "Double Indemnity", insurance salesman Walter Neff (played by Fred MacMurray), gets into some pretty hot water involving his client (Barbara Stanwyck) and his co-worker (Edward G. Robinson). Neff tries to misuse the concept of double indemnity and he pays a heavy price.

We are awash in numbers, thanks in large part to the proliferation of personal mobile devices and the wrong-headed use of so-called big data.1 But applying statistical tools to the same set of data can support competing theories and lead to contradictory results. Such conflicting outcomes, known as antinomies