Casey Kotchman as Luck Example
Baseball games are not perfect simulations. They’re not good ones, or even mediocre ones. They’re downright awful. When we design, engineer and execute proper simulations or models, we are often dealing with scales on the order of thousands of repetitions to become comfortable with the probability of the results. Baseball runs through it once.
Granted there are lots of smaller, more repeated samples within the larger single sample. That helps keep some of the noise down, but not nearly all of it, or most of it. Baseball is a noisy game dominated in many ways by what is commonly called luck and people by nature are just terrible coming to grips with that.