Separate Decision Quality from Outcome Quality
A good decision can lead to a bad outcome, and vice versa.
Quote
Results are a terrible teacher.
One of the most important ideas from 'Thinking in Bets' is the need to separate the quality of a decision from the quality of its outcome. We tend to judge our choices by how things turned out, but this 'resulting' bias stops us from learning and improving. A decision made with good reasoning, good information, and a clear understanding of probabilities can still lead to a bad result because of randomness or 'luck.' On the other hand, a poor decision can, by chance, lead to a good outcome. Real progress comes from evaluating the proce...
Supporting evidence
Duke frequently uses poker analogies, where a player can make the statistically correct move (e.g., going all-in with a strong hand) but still lose to an improbable 'river card.' She also cites real-world examples, such as NFL coaches making statistically sound fourth-down decisions that backfire due to unforeseen circumstances, leading to public outcry despite the analytical validity of the choice.
Apply this
After any significant decision, conduct a 'pre-mortem' (before the outcome is known, if possible) or a 'post-mortem' focusing on the decision-making process itself: What information was available? What were the probabilities? What alternatives were considered? Avoid the temptation to retroactively justify or condemn a decision solely based on its outcome.









