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🧠 Psychology·intermediate

Self-Attribution Bias

The tendency to credit wins to your skill and losses to bad luck — prevents real learning from mistakes.

Self-attribution bias is the human habit of taking credit for successes and blaming external factors for failures. In trading, it sounds like "that win was because I'm a great analyst" and "that loss was because the market was manipulated." Both can't be true — if luck doesn't matter for wins, it doesn't matter for losses either. The bias is destructive because it stops learning. If you can't blame yourself for losses, you can't fix the actual mistakes that caused them. You stay stuck in the same patterns because every loss gets externalized. The fix is brutal honesty in the journal. After every trade, ask "what could I have done better?" Even on winners. Even on lucky trades. Even on losses caused by news you couldn't predict. There's almost always something — better entry timing, better position sizing, better risk management. Owning the mistakes is how the strategy improves.
Real trade example

Daniel Kahneman, the Nobel laureate behind Thinking Fast and Slow, identified self-attribution bias as one of the strongest cognitive distortions in financial decision-making. His research found that even professional fund managers attribute their wins to skill and losses to luck — at almost identical rates as amateurs.

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