Philosophy taught that human reason was an immaculate engine of pure logic and objective truth; Amos Tversky and Daniel Kahneman proved that our daily decisions are run by quick mental shortcuts that systematically trick our brains into predictable cognitive illusions. Published in Science in 1974, "Judgment under Uncertainty" mapped the universal cognitive biases governing the human mind, revolutionizing behavioral psychology, courtroom legal jury decisions, and medical diagnostics.
In classical philosophy and cognitive science, humans were considered logical beings who make decisions by calmly weighing statistical odds. When people made bad choices, experts assumed they were simply uneducated or lacked sufficient data.
Amos Tversky and Daniel Kahneman identified three powerful mental shortcuts: Representativeness, Availability, and Anchoring. When judging probability, the brain does not calculate math; it relies on vivid memory shortcuts—fearing shark attacks more than car crashes because shark attacks make splashy headlines, and getting trapped by the first "anchor" price seen on a store tag.
Their paper became the founding bible of cognitive psychology. By helping doctors avoid misdiagnosing rare diseases, by training courtroom juries to evaluate forensic evidence objectively, and by illuminating human intuition, Kahneman and Tversky decoded human thought.
Judgment under Uncertainty: Heuristics and Biases
This article described three heuristics that are employed in making judgments under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; (ii) availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and (iii) adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available. These heuristics are highly economical and usually effective, but they lead to systematic and predictable errors. A better understanding of these heuristics and of the biases to which they lead could improve judgments and decisions in situations of uncertainty.
Neoclassical economists spent two centuries assuming that humans calculate money like rational, emotionless computing robots; Daniel Kahneman and Amos Tversky proved that the human brain feels the pain of losing 100. Awarded the 2002 Nobel Prize in Economics, Prospect Theory shattered rational-choice theory and founded Behavioral Economics, revolutionizing financial markets, consumer design, and government policy worldwide.
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