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Inflation of conditional predictions
Asher Koriat1, Klaus Fiedler, Robert A Bjork
1Department of PsychologyUniversity of Haifa, Haifa, Israel. akoriat@research.haifa.ac.il
Journal of Experimental Psychology. General
|July 19, 2006
Summary
Conditional predictions are often inflated because people focus on consistent information, ignoring other possibilities. This bias persists even when alternative outcomes are considered.
Area of Science:
- Cognitive Psychology
- Decision Making
- Probability Assessment
Background:
- Assessing the likelihood of an outcome given a condition is a fundamental cognitive process.
- Previous research has explored biases in probabilistic reasoning and judgment.
Purpose of the Study:
- To investigate the phenomenon of inflated conditional predictions.
- To identify the cognitive mechanisms underlying prediction inflation.
- To examine the robustness of this inflation against interventions.
Main Methods:
- Conducted seven experiments involving participants making conditional predictions.
- Manipulated conditions to explore the influence of backward activation.
- Tested interventions designed to encourage consideration of alternative outcomes.
Main Results:
- Consistently found marked inflation in conditional predictions across experiments.
- Evidence suggests backward activation, where outcomes highlight consistent conditions, contributes to inflation.
- Inflation proved resistant to manipulations prompting consideration of alternative outcomes.
Conclusions:
- Conditional prediction inflation is a significant cognitive bias.
- Backward activation plays a role by increasing the perceived plausibility of the target outcome.
- The bias limits the consideration of alternative possibilities and is difficult to correct.
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