The Strong Law of Large Numbers (SLLN) is one of the basic limit theorems in probability. The SLLN is proven in the Etemadi form which only requires pairwise independence for a sequence of integrable, identically distributed random variables. A remarkable converse statement due to Kolmogorov is also included in this chapter. As applications, a problem about normal numbers and the speed of convergence of Monte Carlo methods are considered, and the solution to the classical needle problem of Buffon is given.