Causality, NLP, Machine Learning, Deep Dives, Thoughts And Theory.
treatment causes an outcome (Y), a change in treatment (T) should cause a change in outcome (Y) while all other covariates (X) are kept constant; this type of change in treatment is referred to as an intervention. The fundamental problem of causal inference, however, is that it is impossible to