It may be best known for its financial applications, but the Monte Carlo simulation is used in virtually every profession that must measure risks and prepare to meet them. For example, a telecom may build its network to sustain all of its users all of the time. In order to do that, it must consider all of the possible variations in demand for the service. It must determine whether the system will stand the strain of peak hours and peak seasons. A Monte Carlo simulation may help the telecom decide whether its service is likely to stand the strain of Super Bowl Sunday as well as an average Sunday in August.