A field guide to thinking under uncertainty

Think in probabilities, not certainties.

Most bad decisions are not bad luck - they are clear thinking gone wrong under uncertainty. This is a growing library on expected value, Bayes and the biases that trip us up, written in plain English with the maths shown, not hidden.

Where to begin Browse all 72 guides

E[X] = Σ xi · p(xi)

Expected value is just every outcome, weighted by how likely it is. It sounds simple, and it is - but almost nobody actually thinks this way. We chase vivid risks, anchor on first numbers, and mistake a confident story for a likely one. The fix is a handful of mental models you can learn in an afternoon and use for the rest of your life.

Four ways in

The library splits into four lenses. Start anywhere - each essay stands on its own.

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There's a reading order

Start Here lays out a guided path - the one concept everything builds on, then the biases quietly shaping your decisions, then where to apply it all.

Follow the path

New essays, occasionally

One short email when something new goes up - probability, decision-making, and the odd counterintuitive result. No noise.