How to think clearly when the data is incomplete and the stakes are real.
Choosing under uncertainty with explicit tradeoffs and reversibility analysis.
Spotting weak arguments, hidden assumptions, and motivated reasoning.
Decomposing messy problems into tractable, actionable components.
One 10-minute lesson a day, picked for your role and goals.