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When a system is too complex to solve analytically — too many variables, too many interactions, too many possible paths — you can replace mathematical elegance with brute computational force. Run the system thousands of times with random inputs, and the statistical distribution of outcomes converges on truth. Monte Carlo reveals that certainty is overrated: a probability distribution is often more useful than a point estimate.
