Tag: cognitive-bias
Tag: cognitive-bias
33 pages tagged cognitive-bias.
Pages
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Chapter 7: Information and Behavioral Economics — Economics 101
Classical economics assumes perfect information and perfectly rational actors. The two new schools that replaced those assumptions — information economics (Stiglitz, Akerlof) and behavioral economics (Simon, Becker, Thaler) — explain how real markets cope with information gaps and human cognition, from used-car lemons to checkout-aisle candy.
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Chapter 1: The Characters of the Story — Thinking, Fast and Slow
An introduction to the two systems of thought — the automatic, intuitive System 1 and the deliberate, effortful System 2 — the cast of characters whose interaction explains virtually everything in this book.
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Chapter 2: Attention and Effort — Thinking, Fast and Slow
System 2 runs on a limited budget of attention — effortful tasks compete for the same scarce resource, so multitasking degrades performance and cognitive load makes us literally blind to the obvious.
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Chapter 3: The Lazy Controller — Thinking, Fast and Slow
System 2 is constitutionally lazy — it conserves cognitive effort whenever possible, which means most judgment is left to System 1 by default, including judgments where System 2’s oversight would catch critical errors.
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Chapter 4: The Associative Machine — Thinking, Fast and Slow
System 1 is an associative engine — exposure to one idea automatically and involuntarily activates a web of related ideas, priming behavior and judgment in ways we never consciously intend or notice.
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Chapter 5: Cognitive Ease — Thinking, Fast and Slow
When processing feels easy, System 1 treats that fluency as a signal of truth, safety, and quality — a shortcut that creates systematic biases toward the familiar, the clear, and the repeated.
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Chapter 6: Norms, Surprises, and Causes — Thinking, Fast and Slow
System 1 maintains a model of what is normal and registers surprises as violations — then automatically generates causal explanations, even for random events, because causal stories feel more satisfying than statistical ones.
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Chapter 7: A Machine for Jumping to Conclusions — Thinking, Fast and Slow
System 1 builds confident conclusions from incomplete evidence — suppressing doubt, ignoring absent information, and constructing the most coherent story from what it can see (WYSIATI).
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Chapter 8: How Judgments Happen — Thinking, Fast and Slow
System 1 constantly evaluates basic dimensions of the world — threat, opportunity, effort required — and uses intensity matching to translate impressions across scales, enabling rapid but often misplaced confidence.
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Chapter 9: Answering an Easier Question — Thinking, Fast and Slow
When System 1 cannot quickly answer a hard question, it substitutes an easier related question and answers that instead — the core mechanism of heuristic judgment, which is fast, automatic, and systematically biased.
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Chapter 10: The Law of Small Numbers — Thinking, Fast and Slow
Small samples produce wildly extreme results by chance — yet System 1 instinctively seeks causal explanations for what are purely statistical artifacts, generating systematic bias in research, medicine, and everyday judgment.
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Chapter 11: Anchors — Thinking, Fast and Slow
An arbitrary number — even one generated by a random spin of a wheel — pulls final judgments toward it. Anchoring is one of the largest and most reliable biases ever documented, operating through two distinct mechanisms in both System 1 and System 2.
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Chapter 12: The Science of Availability — Thinking, Fast and Slow
When judging how frequent or probable something is, the mind answers a different question: how easily can I recall examples? This availability heuristic is fast, often useful, and systematically biased by anything that makes some examples easier to retrieve than others.
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Chapter 13: Availability, Emotion, and Risk — Thinking, Fast and Slow
Emotion amplifies availability — fearful events are recalled more easily, judged more probable, and drive policy more than mundane statistics. Paul Slovic’s affect heuristic explains why public risk perception is systematically disconnected from actuarial reality.
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Chapter 14: Tom W’s Specialty — Thinking, Fast and Slow
When a vivid, specific description is available, people judge probability by similarity to a prototype — ignoring base rates entirely. The representativeness heuristic produces confident probability estimates that are systematically wrong whenever the description is more diagnostic than the statistics.
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Chapter 15: Linda: Less is More — Thinking, Fast and Slow
The conjunction fallacy — a specific description can feel more probable than a general one, even though this violates probability theory. When representativeness overrides logic, adding detail increases judged probability, which is mathematically impossible.
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Chapter 16: Causes Trump Statistics — Thinking, Fast and Slow
When a vivid causal story is available, statistical base rates are not just underweighted — they are psychologically overridden. This is why stereotype-based predictions feel more credible than actuarial ones, even when the statistics are better evidence.
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Chapter 17: Regression to the Mean — Thinking, Fast and Slow
Extreme performance in any direction is partly luck — and luck does not repeat. Regression to the mean is a mathematical certainty whenever measurements are imperfect, but it is invisible to System 1, which generates causal explanations for statistical inevitabilities.
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Chapter 18: Taming Intuitive Predictions — Thinking, Fast and Slow
Intuitive predictions are too extreme — we anchor on the most diagnostic evidence and fail to adjust for regression. The correction is a two-step statistical procedure: start from the base rate, adjust toward the evidence by its actual predictive validity.
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Chapter 19: The Illusion of Understanding — Thinking, Fast and Slow
Hindsight makes outcomes seem inevitable — and this illusion of understanding the past produces false confidence in our ability to predict the future. The narrative fallacy is the mind’s compulsion to turn random sequences of events into coherent, causal stories.
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Chapter 20: The Illusion of Validity — Thinking, Fast and Slow
Skilled professionals form confident predictions from coherent impressions — and remain confident even when confronted with evidence that their predictions are no better than chance. The feeling of validity is generated by coherence, not by predictive accuracy.
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Chapter 21: Intuitions vs. Formulas — Thinking, Fast and Slow
Simple actuarial formulas consistently outperform expert clinical judgment in low-feedback prediction domains. The evidence is overwhelming and has been known for decades — yet it is resisted because it threatens expert identity and the felt value of holistic judgment.
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Chapter 22: Expert Intuition: When Can We Trust It? — Thinking, Fast and Slow
Expert intuition is genuine in domains with regular feedback and sufficient practice — it is an illusion in domains without them. The key diagnostic is whether the environment offers enough valid, fast, unambiguous feedback for System 1 to learn reliable patterns.
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Chapter 23: The Outside View — Thinking, Fast and Slow
Intuitive project planning ignores how similar projects have actually performed — the planning fallacy. The outside view corrects this by anchoring on the reference class distribution, then adjusting for specific features of the current project.
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Chapter 24: The Engine of Capitalism — Thinking, Fast and Slow
Optimism bias is pervasive — most people believe they are above average and their plans will succeed at higher rates than the base rate. This bias is costly in many contexts but may be the psychological engine that drives entrepreneurial risk-taking and economic dynamism.
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Chapter 30: Rare Events — Thinking, Fast and Slow
People overestimate the probability of unlikely events and overweight them in decisions — driven by availability, vividness, and the probability weighting function. This overweighting explains both the purchase of lottery tickets and the fear of terrorism.
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Chapter 34: Frames and Reality — Thinking, Fast and Slow
Equivalent facts described differently produce different decisions — not because people are confused, but because frames determine which aspects of reality are attended to. Frames are not neutral; they are the reality System 1 operates on.
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Chapter 35: Two Selves — Thinking, Fast and Slow
The experiencing self and the remembering self are two different agents with different interests. The remembering self dominates life choices — but it is governed by peak and end experiences, ignoring duration. Duration neglect means we optimize for memory, not for how we actually feel.
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Chapter 36: Life as a Story — Thinking, Fast and Slow
The remembering self evaluates lives as stories with dramatic arcs, not as accumulations of experienced moments. A good story ending can make an entire period feel worthwhile; a bad ending can retroactively taint a long good period. Narrative logic dominates experiential accounting.
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Chapter 37: Experienced Well-Being — Thinking, Fast and Slow
The Day Reconstruction Method reveals that experienced well-being depends more on who you are with and what you are doing in the moment than on income or life circumstances above a threshold. The factors that people think will make them happier often don’t — and the ones they overlook often do.
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Chapter 38: Thinking About Life — Thinking, Fast and Slow
Life satisfaction questions activate attention to whatever is currently salient — not a comprehensive survey of life quality. The focusing illusion: nothing is as important as it seems when you are thinking about it. Satisfaction measures reflect what people focus on, not how they actually live.
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Conclusions — Thinking, Fast and Slow
Kahneman surveys what the heuristics-and-biases program has established, what remains uncertain, and what it means for improving the quality of judgment in organizations, policy, and personal life. The goal is not to eliminate System 1 but to know when not to trust it.
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Thinking, Fast and Slow — Book Summary — Thinking, Fast and Slow
Chapter-by-chapter synthesis of Thinking, Fast and Slow by Daniel Kahneman — the definitive account of the two systems that drive human judgment, and what their rivalry reveals about how we make decisions.
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