This talk focuses on a paper by Kyle Gannon and James Hanson, in which they define a probability measure on the space of types over the monster model. Their goal, broadly speaking, was to determine which properties should hold of almost all randomly sampled types. We will discuss model theoretic concepts such as Keisler measures, Morley products, and almost sure theories with the goal of understanding some of their results.