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Related Experiment Video

Updated: Jun 1, 2026

Robust Comparison of Protein Levels Across Tissues and Throughout Development Using Standardized Quantitative Western Blotting
08:13

Robust Comparison of Protein Levels Across Tissues and Throughout Development Using Standardized Quantitative Western Blotting

Published on: April 9, 2019

A robust classic.

Florian Kutzner1, Tobias Vogel, Peter Freytag

  • 1University of Heidelberg, Germany. florian.kutzner@psychologie.uni-heidelberg.de

Experimental Psychology
|May 20, 2011
PubMed
Summary
This summary is machine-generated.

Illusory correlations (ICs) persist even with extensive experience and active use. This research demonstrates the robustness of these biases, suggesting they stem from unbiased, noisy learning processes.

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Area of Science:

  • Social Psychology
  • Cognitive Psychology

Background:

  • Illusory correlations (ICs) represent a cognitive bias where individuals perceive a relationship between two variables that does not actually exist.
  • Previous research has debated the persistence of ICs under conditions of extended experience and active stereotype use.

Purpose of the Study:

  • To investigate the robustness of illusory correlations (ICs) under two boundary conditions: extended experience and active stereotype use.
  • To explore novel online measures for assessing ICs through operant reactions.

Main Methods:

  • Conducted simulations to derive conflicting predictions from noise-based and feedback learning accounts of ICs.
  • Performed an experiment with 320 observations involving majority and minority group members.
  • Utilized participants' operant reactions as a novel online measure of ICs.

Main Results:

  • Empirical evidence supported the maintenance of ICs under extended experience, contradicting discrepancy-reducing feedback learning predictions.
  • Actively using stereotypes for predictions, even with reward and punishment, did not eliminate the illusory correlation bias.
  • Operant reactions provided a viable online measure for detecting ICs.

Conclusions:

  • Illusory correlations are robust and maintained even with extensive experience and active use.
  • The findings suggest that ICs can be explained by unbiased but noisy learning mechanisms.
  • Novel operant reaction measures offer new avenues for studying cognitive biases.