Decide well

A reading room · 7 stops

A path through the models and biases of good decisions under uncertainty — how to weigh outcomes, update on evidence, sidestep the classic traps, and always leave a margin for being wrong.

By the ReadGlobe Editors

Good decisions aren’t about certainty — they’re about choosing well when you can’t be sure. This room moves from the tools that help you weigh a choice, through the biases that quietly sabotage it, to the safeguards that let you be wrong without being ruined.

  1. 1
    Mental model
    Expected value

    The core move: weigh each outcome by how likely it is, not just how good or bad it would feel.

  2. 2
    Mental model
    Bayesian thinking

    Hold beliefs as probabilities and update them as evidence arrives — strong opinions, loosely held.

  3. 3
    Cognitive bias
    Base-rate neglect

    The vivid story makes you forget the boring statistic that should anchor your estimate.

  4. 4
    Cognitive bias
    Loss aversion

    Losses hurt about twice as much as equivalent gains feel good — which quietly warps every choice.

  5. 5
    Cognitive bias
    Sunk-cost fallacy

    What you’ve already spent is gone; the only question is what’s best from here.

  6. 6
    Mental model
    Inversion

    Instead of chasing success, ask what would guarantee failure — then avoid exactly that.

  7. 7
    Mental model
    Margin of safety

    Leave room to be wrong. The best decisions survive being mistaken.

Where this leaves you

Deciding well is a loop: weigh honestly, update as you learn, dodge the traps, and always build in a margin. You won’t be right every time — the goal is to be wrong safely and win over the long run.

The books behind better thinking


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