Pearl's Causal Hierarchy is a framework that categorizes causal reasoning into three levels: association, intervention, and counterfactuals, each requiring increasing levels of understanding and data. It highlights the limitations of statistical methods that rely solely on correlation and emphasizes the need for causal models to make predictions about interventions and hypothetical scenarios.