Question
Why does domain specificity fail?
Quick Answer
Assuming that because you've developed good judgment in your profession, your intuitions about politics, health, investments, or relationships are equally trustworthy. The feeling of confidence is identical across domains — the accuracy is not. You'll know you've fallen into this trap when you.
The most common reason domain specificity fails: Assuming that because you've developed good judgment in your profession, your intuitions about politics, health, investments, or relationships are equally trustworthy. The feeling of confidence is identical across domains — the accuracy is not. You'll know you've fallen into this trap when you catch yourself saying 'trust me, I have good instincts' about a topic where you have no track record.
The fix: Pick three domains where you make predictions: your professional work, a hobby, and personal finance. For each, write down five predictions with confidence levels (e.g., '80% confident this will ship by Friday'). Track outcomes over two weeks. Compare your calibration across domains. You will almost certainly find that one domain is dramatically better calibrated than the others.
The underlying principle is straightforward: Being well-calibrated in one area does not transfer automatically to others.
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