Statistical Rethinking

Statistical Rethinking is an approach to understanding and analyzing data that emphasizes clear, logical modeling of real-world situations. It encourages questioning assumptions, using data to update beliefs, and building models that reflect how we think things work. Rather than relying on rigid procedures, it promotes iterative learning—refining models as new data become available—to make more informed and nuanced conclusions. This approach often uses tools like Bayesian methods, which incorporate prior knowledge and evidence, helping us understand uncertainty and variability in a thoughtful, transparent way.