 Though the favored approaches to defining chaos involve global Lyapunov exponents, there are problems with this way of defining SDIC (and, hence, characterizing chaos). First, the definition of global Lyapunov exponents involves the infinite time limit (see the  Appendix),  so, strictly speaking, \(\lambda\) only characterizes growth in uncertainties as \(t\) increases without bounds, not for any finite \(t\). So the combination \(\exists \lambda\) and \(\exists t\gt 0\) in SD is inconsistent. At best, SD can only hold for the large time limit and this implies that chaos as a phenomenon can only arise in this limit, contrary to what we take to be our best evidence. Furthermore, neither our models nor physical systems run for infinite time, but an infinitely long time is required to verify the presumed exponential divergence of trajectories issuing from infinitesimally close points in state space. 