What we practise is not optimisation but satisficing: meeting a threshold across all the important measures rather than maximising any single one. In a multi-agent setting, maximising one metric triggers Goodhart's law — everything you are not measuring gets sacrificed. Satisficing keeps the system in equilibrium.