r/ControlProblem

I made a NeuralCipher video introducing causality for a broader AI/science audience.

The goal is not to present a technical tutorial on causal inference, but to make the conceptual distinction clear: association, intervention, counterfactuals, explanation, and why causal claims require more than predictive success.

I tried to avoid the shallow version of “correlation is not causation” and instead explain why causal reasoning changes the kind of question we are asking.

Disclosure: I made this. I would especially appreciate corrections from people working directly in causal inference.

▶️ https://www.youtube.com/watch?v=dzgwW2n19bE

See more at neuralcipher.net

What is the most common misconception about causality that you see outside the field?