In this paper we describe the alternative approach to the sample boundedness and continuity of stochastic processes. We show that the regularity of paths can be understood in terms of a distribution of the argument maximum. For a centered Gaussian process X(t), t ∈ T we obtain a short proof of the exact lower bound on E sup t∈T X(t). Finally we prove the equivalence of a usual majorizing measure functional to its conjugate version. * Subject classification: 60G15, 60G17 †