Risk Calc makes new methods available for conducting distribution-free or nonparametric risk analyses. You decide what information or assumptions should be used, and the software calculates bounding estimates of risks. Often these bounds can be shown to be the best possible. Using Risk Calc, you can do quality assurance reviews for probabilistic risk and safety assessments. It supports probability bounds analysis, standard fuzzy arithmetic, and classicalinterval analysis. Its applications are like those of Monte Carlo packages such as @Risk or Crystal Ball, but Risk Calc does not require you to specify precise details of statistical distributions and their dependency relationships when empirical data are lacking.