Poisson Paradigm: Dependency Measures

This lecture covers the Poisson Paradigm, focusing on dependency measures in ordered pairs and graphs. It explains the concept of dependence and independence, as well as the constant ground set and bad sets. The instructor discusses the Chebyshev inequality, Payley-Zygmund inequality, and lower bounds. The lecture also delves into increasing and decreasing events, with examples of disjoint bad events and their implications. Various formulas and concepts related to Poisson distributions, probability, and sets are explored in detail.