This paper discusses a commonly used test to detect a nonproportional
hazard. The test can be viewed as an example of the method of sieves a
pproach to hypothesis testing. In this framework the test can be shown
to be consistent against a wide class of alternatives to proportional
hazards. However there is a price exacted for such consistency. This
price is that the test can not detect local alternatives of order one
over the square root of the sample size.