Timonov proposes an algorithm for global maximization of univariate Lipschitz functions in which successive evaluation points are chosen in order to ensure at each iteration a maximal expected reduction of the "region of indeterminacy", which contains all globally optimal points. It is shown that such an algorithm does not necessarily converge to a global optimum.