Identification of near-critical paths that have a reasonable probability of becoming critical is a key outcome of Monte Carlo simulation. For many project managers, the near-critical path identification is perhaps the most important outcome. In fact, during the course of the Monte Carlo simulation, depending on the distributions applied to the critical tasks and the distributions applied to other paths, there will be many runs, perhaps very many runs, where the critical path identified by straightforward CPM calculations will not in fact be critical. Some other path, on a probabilistic basis, is critical for that particular run. Most Monte Carlo packages optimized for schedule applications keep careful record of all the paths that are, or become, critical during a session of runs. Appropriate reports are usually available.