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The conjunction effect: new evidence for robustness.

Stephanie Stolarz-Fantino1, Edmund Fantino, Daniel J Zizzo

  • 1University of California, San Diego, USA.

The American Journal of Psychology
|April 25, 2003
PubMed
Summary
This summary is machine-generated.

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The conjunction effect, where people deem combined events more likely than individual ones, is a robust cognitive bias. Interventions like feedback or framing did not significantly alter this common reasoning error.

Area of Science:

  • Cognitive Psychology
  • Decision Making
  • Behavioral Economics

Background:

  • The conjunction effect, or conjunction fallacy, is a well-documented cognitive bias.
  • This bias occurs when individuals judge the probability of a conjunction of two events to be higher than the probability of one of the constituent events.

Purpose of the Study:

  • To investigate the robustness of the conjunction effect under various experimental conditions.
  • To examine the influence of feedback, incentives, and contextual framing on the occurrence of the conjunction fallacy.

Main Methods:

  • Synthesized findings from five independent studies examining the conjunction effect.
  • Manipulated factors including feedback, monetary reinforcement, contextual framing (logic vs. opinion questions), and statement position.

Related Experiment Videos

  • Assessed participant judgments on conjunction problems involving two or three simple statements.
  • Main Results:

    • Neither feedback nor monetary reinforcement significantly impacted performance on conjunction problems.
    • The context of the problem presentation and the location of the conjunction statement influenced the effect's occurrence.
    • The conjunction effect persisted even without framing descriptions and with incentives for accuracy.

    Conclusions:

    • The conjunction effect demonstrates considerable robustness, persisting across different conditions and interventions.
    • Cognitive biases like the conjunction fallacy may be resistant to simple corrective measures.
    • Understanding the contextual and positional factors influencing this bias is crucial for cognitive research.