Same Causal Effect, Different Bill: Derivation Graphs and the Estimand Trap
The formula is not a clerical detail A business asks a causal question: What happens if we change X? The analytics team returns a formula. Everyone relaxes. The effect is identifiable, the notation looks official, and a graph somewhere has probably been blessed by someone with a PhD. Excellent. Time to move to dashboards. ...