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Updated: Aug 6, 2026

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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Delay-probability asymmetry in discounting: An anomaly in multiattribute choice
Joel Myerson1, Leonard Green1, Ariana Vanderveldt1
1Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Journal of the Experimental Analysis of Behavior
|July 20, 2026
Summary
When rewards are both delayed and probabilistic, people discount delayed rewards less. This suggests a shift towards better long-term decision-making strategies in complex choices.
Area of Science:
- Behavioral economics
- Decision science
- Cognitive psychology
Background:
- Delay discounting is crucial for decision-making, with steep discounting linked to behavioral issues.
- Current delay discounting tasks often oversimplify real-world decisions involving both probability and delay.
- A delay-probability asymmetry, where probability is more salient than delay, has been proposed.
Purpose of the Study:
- To investigate decision-making preferences in tasks involving both delayed and probabilistic rewards.
- To compare choices in two-attribute (amount/delay or amount/probability) versus three-attribute (amount/delay/probability) tasks.
- To test prominent choice models' ability to predict observed decision patterns and asymmetry.
Main Methods:
- Two experiments were conducted comparing preferences on two-attribute and three-attribute decision tasks.
- Tasks involved varying amounts of rewards, delays, and probabilities.
- Preference data from three-attribute tasks were used to evaluate existing choice models.
Main Results:
- Prominent choice models accurately predicted preferences in three-attribute tasks but failed to account for the observed asymmetry.
- The study identified a delay-probability asymmetry in decision-making.
- This asymmetry primarily stemmed from a reduction in delay discounting, not an increase in probability discounting.
Conclusions:
- The findings challenge existing models by highlighting their inability to predict delay-probability asymmetry.
- A decrease in delay discounting under combined delay and probability conditions may promote more patient decision-making.
- This suggests a potential adaptive shift towards improved long-term strategy in complex, real-world choices.
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