causal programming

Causal programming involves using data and mathematical models to understand how changing one thing causes a change in another. Instead of just observing correlations, it aims to identify cause-and-effect relationships, enabling us to predict the outcomes of interventions. This approach helps determine what actions to take to achieve desired results, such as improving health or increasing sales. Think of it as a smarter way to answer questions like "If I do this, what will happen?" by understanding the underlying causes rather than just associations found in data.