Forecasting in institutional settings is rarely a contest between models. It is an exercise in managing uncertainty across misspecification, regime change and incomplete information.
Ensemble reasoning, calibration diagnostics and explicit scenario structure often contribute more to decision quality than marginal gains in point accuracy.
A decision system should therefore treat forecasts as inputs to allocation and governance — not as terminal outputs.