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Debiasing is a category of books focused on understanding and reducing the systematic errors in judgment and decision-making that arise from cognitive, social, and algorithmic biases. Drawing on psychology, behavioral economics, data science, and organizational practice, these books explain common biases (such as confirmation, anchoring, availability, and implicit bias) and how they distort perception, choices, and outcomes. They translate research into practical methods—structured decision protocols, checklists and pre-mortems, probabilistic thinking and calibration, feedback and audits, choice architecture, and inclusive design—to help readers detect, measure, and mitigate bias. The aim is sharper reasoning, fairer and more reliable decisions, and better-designed systems across domains like hiring, education, healthcare, investing, product development, media consumption, and public policy.

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