Psychological biases

Biases are not isolated mental bugs; they are features of a prediction system optimized for speed, identity, and social coherence. The same machinery that makes habits, commitments, and reputation useful can also make a person defend a stale thesis long after the evidence changes world-models industry-mechanisms.

Two biases matter most for research and investing. Commitment bias turns past decisions into identity, so a bad hire, weak industry thesis, or public forecast becomes harder to revise. Incentive-caused bias is subtler: the reward structure changes what people genuinely notice, so a sales target, bonus plan, or sunk research effort can reshape perception before anyone consciously rationalizes industry-analysis.

The answer is not willpower; it is system design. Write priors before the outcome, name what would kill the thesis, create review moments that reward changing your mind, and make bad summaries costly enough that knowledge can compound honestly compounding. A good process treats updating as a reputational asset rather than a confession of failure business-models industry-analysis-engine.