Causal Inference, Causal Data Science, Causal Machine Learning, Data Science, Machine Learning.
That’s good, because it means that you are getting the point! No tool is useful if we cannot put it into practice. But here practicality has two sides: what you should do and what you shouldn’t do. And in causal inference, the latter is sometimes more important than the former. Consider the example