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Accuracy, error, and bias in predictions for real versus hypothetical events
David A Armor1, Aaron M Sackett
1Department of Psychology, Yale University, USA. darmor@sciences.sdsu.edu
Journal of Personality and Social Psychology
|October 4, 2006
Summary
People are unrealistically optimistic about completing unexpected tasks, overestimating their performance. However, when tasks are expected, predictions become accurate, suggesting optimism is linked to uncertainty, not lack of thought.
Area of Science:
- Cognitive Psychology
- Behavioral Economics
- Decision Science
Background:
- Unrealistic optimism is a common cognitive bias.
- Previous research suggests optimism may stem from cognitive biases or lack of processing.
Purpose of the Study:
- To investigate the conditions under which unrealistic optimism occurs in performance predictions.
- To differentiate between uncertainty and cognitive processing as drivers of optimistic prediction errors.
Main Methods:
- Four experiments were conducted involving participants predicting performance on expected and unexpected tasks.
- Performance predictions were compared against actual task outcomes.
- Construal level theory was used to frame hypotheses about uncertainty.
Main Results:
- Participants in task-unexpected conditions exhibited unrealistic optimism, overestimating performance significantly.
- Predictions for task-expected conditions were accurate and less optimistic.
- Optimistic prediction errors were linked to task uncertainty, not reduced cognitive processing.
Conclusions:
- Unrealistic optimism is primarily driven by the uncertainty associated with hypothetical or unexpected tasks.
- Optimism may be less ubiquitous than previously thought, being contingent on task expectations.
- Understanding the role of uncertainty is key to explaining optimistic prediction errors.
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