Probability Thinking Decision Assistant

Problem

Important decisions often get distorted by emotion and single outcomes: job changes, investments, startups, and partnerships can feel like “I should be able to make it work,” while ignoring base rates, payoff, worst-case loss, and repeatability. The Probability Thinking Decision Assistant turns these choices into structured variables instead of relying on gut feel.

How it works

The skill evaluates options across six dimensions: win rate, payoff, base size, risk, information, and fault tolerance. A typical workflow includes:
- listing options A/B/C and defining their upside and downside;
- replacing intuition with historical examples, market data, or comparable outcomes;
- estimating expected value and checking whether the worst case is survivable;
- updating the prior probability as new information arrives, while keeping a Plan B and stop-loss.
It also frames decision-making in four levels: intuition, basic probability, expected value, and systematic probability, helping identify where current reasoning sits.

Boundaries

This is useful for career moves, transitions, investments, project planning, and trust judgments that benefit from repeated evaluation. It provides a structured assessment and risk framing, not professional legal, financial, or medical advice; when data are weak, probability estimates remain assumptions that should be validated with more information and small experiments.