The Central Limit Theorem is one of the most fundamental principles in probability, stating that the probability distribution of the average of independent measurements of the same random variable has the ubiquitous bell curve as a limit as the sample size increases. This talk will use different numbers of fair dice to explore this convergence as one of the easiest examples of that convergence if not the quickest.