A general method to determine uncertainty in risk assessment using Monte Carlo simulation with Latin Hypercube Sampling is presented. This method is compared with a traditional approach to show that its uncertainty is several orders of magnitude less. Part of the approach is to remove health conservative assumptions and replace them with realistic data. If a measure of health conservatism is needed for risk management, it may be added as a safety factor.

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