The "raison d'être" of a comprehensive quantitative analysis using the Monte Carlo approach is an objectively justifiable recommendation for a decision, taking into account uncertainty.
For those decision driven people, which still have to use "heat maps" to communicate threats, MC FLO offers an equivalent instrument - the conditional risk matrix.
In the following we underpin the essence of Monte-Carlo simulations. Based on the Monty Hall problem it is shown that simulations have to be understood as a decision-making tool.