This lecture covers the concept of joint probability, where the joint law is the product of the marginal laws of X and Y, illustrated through various examples of discrete independent random variables. It also discusses finding conditional laws and the potential paradox of Borel-Kolmogorov. Examples are provided to demonstrate the application of these concepts.