Living with Risk

Almost every decision that matters is made without knowing how it will turn out. The instinct is to predict harder — to forecast the future and plan for the most likely case. This path argues the opposite: that the people who handle uncertainty best mostly stop trying to predict, and instead arrange things so they survive being wrong, and occasionally gain from it.

It begins with the foundations — what risk actually is, the crucial gap between measurable risk and true uncertainty, and the expected-value thinking that underlies sound choices — then turns to where naïve averages mislead: fat tails, where a single rare event dominates everything, and ergodicity, where a “good bet on average” can still ruin you.

The back half is the response: convexity and antifragility, the barbell, bet-sizing that keeps you in the game, and the surprising power of subtraction. The through-line is simple and hard to live by — protect against the downside that ends the game, stay exposed to the upside that doesn’t, and prefer the robust move to the clever forecast.