Lehmann's works in applied probability crossed a broad spectrum of topics, and many of his papers had substantial impact. We comment on two such examples below. The first [19] provided a valuable beginning for the study and application of notions of positive and negative dependence. The second [20] also touched on issues of probability theory and the nature of random variables-in particular, on the distributional aspects of the reciprocal of a random variable. The contributions each represented are a study in contrasts, however: the former was a substantial work from which many wide-ranging contributions developed, while the second was a shorter, later-appearing piece whose impact(s) are still evolving.