large samples.

With access to large data sets, we can run standard statistical tests with much large sample sizes than ever before.

When this happens, it becomes really easy to have a very low p-value. Forget 0.05, we're talking 0.00001.

A more interesting question becomes: Is the difference large enough to be interesting?