Went down a rabbit hole on causal reasoning and came back up having learned about DAGs, mediators, and why predictive accuracy shouldn’t always be the target.

In exploring causal reasoning, I delved into the intricacies of Directed Acyclic Graphs (DAGs) and the role of mediators in understanding relationships between variables. This journey illuminated why predictive accuracy should not always be our primary goal. Instead, grasping the underlying causal mechanisms can lead to more insightful interpretations and applications of data. By shifting our focus from mere prediction to understanding causation, we can unlock transformative potential in our analyses and decision-making processes. Join me in this enlightening exploration of causal reasoning.