It is clear that the validity of any conclusion first depends on the integrity of raw data, not on the sophistication of the tool. The incentive to publish "significant" results can lead to threshold selection that optimizes apparent similarity, thus creating a false similarity when unmeasured external factors, such as an unexpected regulatory intervention, distort the distribution. The risk of a sub-optimal balance is that decisions based on these tests lead to ineffective or costly actions.