causal modeling

Causal modeling is a way to understand and represent how different factors influence each other. It helps identify what causes what, allowing us to predict outcomes when variables change. For example, if we know that exercise reduces health risks, a causal model can show how increasing activity levels could improve health. These models use data and mathematical tools to clarify relationships, enabling better decision-making in fields like medicine, economics, and policy. Essentially, causal modeling helps us understand not just correlations but the actual cause-and-effect connections between variables.