Knowing how to simulate experimental data is an incredibly useful skill. Practically, it allows you to generate data that you can use to test your analysis scripts, making it easier to preregister those scripts along with your study plan. Theoretically, it provides you with an excellent opportunity to test your intuition about how data behaves in different experimental designs.
Keeping up to date with scientific publications is no easy task. There are millions of peer-reviewed scientific papers published each year, along with a continuously growing number of preprints. For most scientists, the vast majority of these publications have no bearing on their work—they’re essentially spam—and filtering through them manually is like slaying an Academian Hydra.