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Related Experiment Videos

Seeds aren't anchors.

N R Brown1, R S Siegler

  • 1Department of Psychology, University of Alberta, Edmonton, Canada. norman.brown@ualberta.ca

Memory & Cognition
|June 16, 2001
PubMed
Summary
This summary is machine-generated.

Numerical facts, or seed facts, improve estimates but do not function as anchors. Studies show that this effect is better explained by feedback or induction, not anchoring, challenging previous assumptions in numerical cognition research.

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Area of Science:

  • Cognitive Psychology
  • Numerical Cognition
  • Decision Making

Background:

  • Exposure to numerical information (seed facts) can enhance subsequent numerical estimations.
  • The underlying mechanism of these seeding effects has been debated, with anchoring and feedback/induction as primary hypotheses.
  • Previous research has not definitively distinguished between these mechanisms.

Purpose of the Study:

  • To investigate the cognitive mechanism behind seeding effects in numerical estimation.
  • To differentiate between anchoring and feedback/induction as explanations for improved estimates after exposure to seed facts.
  • To test predictions derived from anchoring versus feedback/induction models in controlled experimental settings.

Main Methods:

  • Two experiments were conducted involving numerical estimations: national populations (Experiment 1) and between-city distances (Experiment 2).

Related Experiment Videos

  • Seed facts (SA) were strategically chosen to be below initial estimates for those items (S1) and above initial estimates for transfer items (T1).
  • Participants' estimates were compared before (T1) and after (T2) exposure to seed facts to observe changes in transfer items.

    • Main Results:

    • In both experiments, postseeding transfer estimates (T2) were lower than preseeding transfer estimates (T1).
    • This pattern (T2 < T1) directly contradicts the predictions of the anchoring model, which would predict T2 > T1.
    • The observed results align with predictions from feedback or induction mechanisms.

    Conclusions:

    • Seed facts do not operate as anchors in numerical estimation tasks.
    • The results strongly support feedback or induction as the primary mechanisms driving seeding effects.
    • This finding refines our understanding of how numerical information influences human judgment and estimation.