Coaching practices for Tail Risk Decision Making
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Tail Risk Decision Making, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- I’m excited about this plan and so committed to it that I can’t honestly see what might sink it
- I made a call that turned out badly and now I feel like an idiot for it
- One terrifying outcome has taken over my whole sense of the danger here
- There’s a chance in front of me where the worst case is small and survivable
- I keep passing on bets that are clearly worth it over the long run, because the sting of the likely small loss looms so much larger than the rare big win
Practices that may help
- Run a premortem before committing
Imagine the decision has already failed — then ask why.
Thinking in Bets - Judge decisions by the process, not the result
A good decision that produces a bad outcome is still a good decision.
Expected Value Thinking: Deciding Under Uncertainty - Calibrate dread against statistical frequency
Look up the actual rate of the feared outcome before letting dread drive a decision.
The Affect Heuristic — When Feelings Substitute for Facts - 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.
Expected Value Thinking: Deciding Under Uncertainty - 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.
Expected Value Thinking: Deciding Under Uncertainty - Use maximin reasoning for high-stakes, irreversible decisions under ambiguity
Choose the option whose worst plausible outcome is most survivable — when you can’t compute expected value, optimize the floor.
Ambiguity Aversion — Why Unknown Odds Feel Worse Than Bad Odds - Build plans with slack for outcomes outside your model
Reserve capacity for events that are not in your risk model — because the most damaging events usually aren’t.
The Ludic Fallacy: When You Mistake Real Life for a Game - Distinguish risk from ambiguity before reacting
Label whether you’re facing known odds or genuinely unknown odds — the right tool depends on the answer.
Ambiguity Aversion — Why Unknown Odds Feel Worse Than Bad Odds - Check reversibility before you fear the downside
Most decisions are reversible; reserve maximum caution for the few that aren’t.
The Regret-Minimization Framework - Turn top risks into tripwires
Set a specific signal that tells you a feared failure is starting to happen.
The Pre-Mortem: Imagine It Already Failed
Related concerns
- Expected Value Thinking Deciding Under Uncertainty After A Setback
Expected value thinking multiplies each possible outcome by its probability and sums the results, giving a single number that represents the average payoff of a decision. It is the mathematical foundation of rational decision-making under uncertainty — well grounded in decision theory — but it has real limits: probabilities are often uncertain, outcomes are not always quantifiable, and raw expected value ignores risk aversion that can be legitimate.
- Expected Value Thinking Deciding Under Uncertainty As A Caregiver
Expected value thinking multiplies each possible outcome by its probability and sums the results, giving a single number that represents the average payoff of a decision. It is the mathematical foundation of rational decision-making under uncertainty — well grounded in decision theory — but it has real limits: probabilities are often uncertain, outcomes are not always quantifiable, and raw expected value ignores risk aversion that can be legitimate.
- Expected Value Thinking Deciding Under Uncertainty At Work
Expected value thinking multiplies each possible outcome by its probability and sums the results, giving a single number that represents the average payoff of a decision. It is the mathematical foundation of rational decision-making under uncertainty — well grounded in decision theory — but it has real limits: probabilities are often uncertain, outcomes are not always quantifiable, and raw expected value ignores risk aversion that can be legitimate.
- Expected Value Thinking Deciding Under Uncertainty During A Big Change
Expected value thinking multiplies each possible outcome by its probability and sums the results, giving a single number that represents the average payoff of a decision. It is the mathematical foundation of rational decision-making under uncertainty — well grounded in decision theory — but it has real limits: probabilities are often uncertain, outcomes are not always quantifiable, and raw expected value ignores risk aversion that can be legitimate.
- Expected Value Thinking Deciding Under Uncertainty During Conflict
Expected value thinking multiplies each possible outcome by its probability and sums the results, giving a single number that represents the average payoff of a decision. It is the mathematical foundation of rational decision-making under uncertainty — well grounded in decision theory — but it has real limits: probabilities are often uncertain, outcomes are not always quantifiable, and raw expected value ignores risk aversion that can be legitimate.
- Expected Value Thinking Deciding Under Uncertainty When Overwhelmed
Expected value thinking multiplies each possible outcome by its probability and sums the results, giving a single number that represents the average payoff of a decision. It is the mathematical foundation of rational decision-making under uncertainty — well grounded in decision theory — but it has real limits: probabilities are often uncertain, outcomes are not always quantifiable, and raw expected value ignores risk aversion that can be legitimate.
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