Enumerate scenarios and their probabilities before deciding
Write down each meaningful outcome, assign a probability, and compute the weighted total.
Why it works
The human mind defaults to imagining one future — usually the intended outcome — rather than a distribution. Writing out scenarios with explicit probabilities forces engagement with alternatives that would otherwise be invisible. Each scenario also makes the decision decomposable: you can examine whether your probability estimates are defensible rather than just trusting a gut feeling about "how it will go."
How to do it
- List the four to six most meaningfully different outcomes of your decision.
- Assign a probability to each, ensuring they sum to 100%.
- Assign a value (in whatever units matter: money, time, satisfaction) to each outcome.
- Multiply each probability by its value and sum — the highest EV option is the baseline recommendation.
Evidence
Scenario planning and explicit probability elicitation are established components of structured decision analysis, which has been shown to outperform unaided intuition in complex multi-attribute decisions. (observational)
Formal decision analysis evidence is strongest in high-stakes organizational settings; its benefit in everyday personal decisions is plausible but less directly studied.
Common mistake
Listing scenarios until you have covered "everything," ending up with twenty imprecise entries that make probabilities arbitrary and the calculation useless.
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More practices for Expected Value Thinking: Deciding Under Uncertainty
- Judge decisions by the process, not the result
A good decision that produces a bad outcome is still a good decision.
- Calculate the expected value of gathering more information
Before researching further, ask whether the additional information is actually worth the cost to obtain.
- Adjust raw expected value for risk aversion on large stakes
A 50% chance of losing everything is not equivalent to a certain 50% loss — adjust for your actual risk tolerance.
- Accept positive-EV decisions even when they feel uncomfortable
If the expected value is clearly positive, take the decision — even if most individual outcomes are losses.
- Look for decisions with asymmetric upside — large potential gain, small defined loss
Seek situations where the worst case is bounded and small while the best case is large and open-ended.
- Keep a decision journal to score your EV estimates
Log your probability estimates and payoff predictions, then compare them to what happened.
Related concepts
- Bayesian Thinking: How to Update Beliefs Rationally
Holding beliefs as probabilities and updating them when evidence arrives
- Thinking, Fast and Slow, Made Usable
Two systems, the biases they create, and when to slow down
- Mental Models: Charlie Munger’s Latticework Approach
Building the multi-disciplinary toolkit that lets you see what single-discipline thinkers miss
- Opportunity Cost Thinking: What You Give Up When You Choose
The hidden price of every choice — and the practices that make it visible