I agree. Here's a Python notebook that illustrates this problem on a classical gambling problem, the Saint Petersburg paradox. The notebook explains why stochastic simulation methods such as Monte Carlo are not suitable for situations where a very unlikely event has a significant impact on the output of interest in your simulations.

https://risk-engineering.org/notebook/saint-petersburg.html