Before revision:  We show analytically that optimizing for outcome or causal-effect prediction is not the same as optimizing for treatment assignments, and thus we should prefer learning models that optimize for treatment assignments.
After revision:  We show analytically that optimizing for outcome or causal effect prediction is not the same as optimizing for treatment assignments, and thus we should prefer learning models that optimize for treatment assignments.