Allais's Paradox
The Allais paradox shows a pair of preferences that cannot both be represented by expected utility theory. People may favor a larger, less likely prize in one choice but switch to the smaller prize when its probability becomes certain. The certainty effect offers a psychological explanation for that pattern.
THE IDEA
ALLAIS'S PARADOX
In 1952, a few years after the publication of von Neumann and Morgenstern’s theory, a meeting was convened in Paris to discuss the economics of risk. Many of the most renowned economists of the time were in attendance. The American guests included the future Nobel laureates Paul Samuelson, Kenneth Arrow, and Milton Friedman, as well as the leading statistician Jimmie Savage.
One of the organizers of the Paris meeting was Maurice Allais, who would also receive a Nobel Prize some years later. Allais had something up his sleeve, a couple of questions on choice that he presented to his distinguished audience. Allais intended to show that his guests were susceptible to a certainty effect and therefore violated expected utility theory and the axioms of rational choice on which that theory rests. The following set of choices is a simplified version of the puzzle that Allais constructed. In problems A and B, which would you choose?
A. 61% chance to win $520,000 OR 63% chance to win $500,000
B. 98% chance to win $520,000 OR 100% chance to win $500,000
If you are like most other people, you preferred the left-hand option in problem A and you preferred the right-hand option in problem B. If these were your preferences, you have just committed a logical sin and violated the rules of rational choice. The illustrious economists assembled in Paris committed similar sins in a more involved version of the “Allais paradox.”
To see why these choices are problematic, imagine that the outcome will be determined by a blind draw from an urn that contains 100 marbles—you win if you draw a red marble, you lose if you draw white. In problem A, almost everybody prefers the left-hand urn, although it has fewer winning red marbles, because the difference in the size of the prize is more impressive than the difference in the chances of winning. In problem B, a large majority chooses the urn that guarantees a gain of $500,000. Furthermore, people are comfortable with both choices—until they are led through the logic of the problem.
Compare the two problems, and you will see that the two urns of problem B are more favorable versions of the urns of problem A, with 37 white marbles replaced by red winning marbles in each urn. The improvement on the left is clearly superior to the improvement on the right, since each red marble gives you a chance to win $520,000 on the left and only $500,000 on the right. So you started in the first problem with a preference for the left-hand urn, which was then improved more than the right-hand urn—but now you like the one on the right! This pattern of choices does not make logical sense, but a psychological explanation is readily available: the certainty effect is at work. The 2% difference between a 100% and a 98% chance to win in problem B is vastly more impressive than the same difference between 63% and 61% in problem A.
As Allais had anticipated, the sophisticated participants at the meeting did not notice that their preferences violated utility theory until he drew their attention to that fact as the meeting was about to end. Allais had intended this announcement to be a bombshell: the leading decision theorists in the world had preferences that were inconsistent with their own view of rationality! He apparently believed that his audience would be persuaded to give up the approach that he rather contemptuously labeled “the American school” and adopt an alternative logic of choice that he had developed. He was to be sorely disappointed.
Economists who were not aficionados of decision theory mostly ignored the Allais problem. As often happens when a theory that has been widely adopted and found useful is challenged, they noted the problem as an anomaly and continued using expected utility theory as if nothing had happened. In contrast, decision theorists—a mixed collection of statisticians, economists, philosophers, and psychologists—took Allais’s challenge very seriously. When Amos and I began our work, one of our initial goals was to develop a satisfactory psychological account of Allais’s paradox.
Most decision theorists, notably including Allais, maintained their belief in human rationality and tried to bend the rules of rational choice to make the Allais pattern permissible. Over the years there have been multiple attempts to find a plausible justification for the certainty effect, none very convincing. Amos had little patience for these efforts; he called the theorists who tried to rationalize violations of utility theory “lawyers for the misguided.” We went in another direction. We retained utility theory as a logic of rational choice but abandoned the idea that people are perfectly rational choosers. We took on the task of developing a psychological theory that would describe the choices people make, regardless of whether they are rational. In prospect theory, decision weights would not be identical to probabilities.
When to use it
In marketing, offering a guaranteed discount (e.g., $5 off) vs. a chance for a larger discount (e.g., 50% off) to exploit the certainty effect.
In insurance, individuals often prefer certain coverage with a high premium over probabilistic coverage with a lower premium.
In negotiations, framing outcomes as certain (e.g., 'you save 10% for sure') vs. uncertain (e.g., 'you have a 90% chance to save 12%') to influence decisions.
FROM THEORY TO EVERYDAY LIFE
In practice
Classic Allais Paradox Choices
Problem A offers a 61% chance of $520,000 or a 63% chance of $500,000; many choose the larger prize. Problem B offers a 98% chance of $520,000 or a 100% chance of $500,000; many choose certainty. The inconsistency concerns this pair of preferences together, given the matched changes in the two lotteries. Preferring a sure gain on its own does not violate expected utility theory.
A MOMENT TO REFLECT
Put it to work.
Why do people often prefer a certain gain over a probabilistic larger gain even when the probabilities are high?
How does the certainty effect influence your own real-life decisions involving risk and reward?
Can you identify a situation where you or someone else chose a sure thing over a higher expected value due to the perceived certainty?
Often confused with
CONTINUE THE CONVERSATION
Source texts
- Thinking, Fast and Slow (Daniel Kahneman)