You've done the epistemic work. You still face uncertainty. Now what? This chapter explores how to act when certainty is impossible, with anchored stories at two scales—everyday (a job offer) and high‑stakes (AI deployment). Learn about expected value, asymmetry, precaution, and the two kinds of error. A framework for deciding well when you cannot know for sure.

Confidence is not just a feeling—it can be trained. This chapter introduces confidence as a gradient, calibration as a practice, proportional scrutiny, and an informal evidence ladder. Learn to ask: How confident am I, really? And is that enough for what's at stake?