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Concept

Prospect Theory

Prospect theory is Kahneman and Tversky's model of how people choose under risk: they judge outcomes as gains and losses from a reference point rather than as final states of wealth, feel losses more than equal gains, and give small probabilities more weight than they deserve.

Daniel Kahneman and Amos Tversky published prospect theory in 1979 as a description of how people actually choose, set against the standard economic theory of expected utility, which assumes people judge the total wealth an option leaves them with. Kahneman later received the Nobel Prize in economics, in large part for this work; Tversky had died by then. The theory rests on three observations. First, outcomes are coded as gains or losses relative to a reference point, usually the status quo and sometimes an expectation, which is why a raise can feel like a loss to someone who expected more. Second, sensitivity diminishes: the first thousand lira of a bonus feels larger than the step from ten thousand to eleven. Third, losses loom larger than gains, roughly twice as large in many studies. Together these explain why people play safe when choosing between gains but gamble to avoid a sure loss, which is why a player who is behind keeps playing; add the overweighting of small probabilities and the same person buys both lottery tickets and insurance. Kahneman sets out the pattern in Thinking, Fast and Slow, and its practical lesson is plain: whoever sets the reference point shapes the choice.

A real-life example

Ozan and Tuba, two engineers at the same firm in Bursa, both receive a ten percent raise. Ozan had heard a rumour of twenty and spends the week feeling cheated; Tuba had expected nothing and celebrates with her family. Their salaries are identical, but their reference points are not. Hearing both reactions, their manager decides to announce the raise range before review season next year, not after it.

How to use it

  1. 1Before a choice, name the reference point you are measuring from: what you have, what you expected, or what someone else got.
  2. 2When you notice yourself taking a bigger risk to avoid a sure loss, ask whether you would take the same bet starting from zero.
  3. 3When a very small probability drives a decision, check whether your fear or hope is larger than the odds.