How can you know whether a statistical method actually works well? Monte Carlo simulations provide a clear and powerful way to answer this. Instead of analyzing just one dataset, you repeatedly generate data under controlled conditions and evaluate how different methods perform across many simulation runs. This is particularly important when new methods are developed and need to be compared with existing approaches. It allows you to assess accuracy, variability, and potential bias in a systemati