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- Schedule risk analysis uses quantitative techniques like Monte Carlo simulation to assess the probability of meeting schedule milestones and completion dates. By assigning probability distributions to activity durations and running thousands of simulations, it produces probabilistic forecasts (e.g., '80% confidence of completing by date X'). This is far more realistic than deterministic single-point estimates and identifies which activities contribute most to schedule risk.