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Does counting change what counts? Quantification fixation biases decision-making.

Linda W Chang1, Erika L Kirgios2, Sendhil Mullainathan3,4

  • 1Operations, Information, and Decisions Department, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104.

Proceedings of the National Academy of Sciences of the United States of America
|October 28, 2024
PubMed
Summary
This summary is machine-generated.

People exhibit "quantification fixation," favoring options with numerically presented tradeoffs. This bias impacts decisions in hiring and donations, showing that numbers change what we value.

Keywords:
comparison fluencydecision-makingnumeracyquantification

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Area of Science:

  • Decision Science
  • Cognitive Psychology
  • Behavioral Economics

Background:

  • Humans often use numeric metrics for decision-making.
  • Quantitative information can be challenging to process, potentially leading to underutilization.
  • Numbers are uniquely suited for making comparisons, influencing judgment.

Purpose of the Study:

  • To investigate how presenting choice dimensions numerically versus qualitatively affects decision-making.
  • To identify the phenomenon of "quantification fixation" and its prevalence across various decision contexts.
  • To explore the underlying mechanisms and consequences of this bias.

Main Methods:

  • Conducted 21 preregistered experiments with over 23,000 participants.
  • Participants made decisions involving tradeoffs (e.g., employee selection, policy choices, consumer preferences).
  • Randomized the presentation format (numeric vs. qualitative) of tradeoff dimensions.

Main Results:

  • Demonstrated a systematic shift in preferences towards options dominating on numerically presented dimensions.
  • Observed "quantification fixation" in managerial, policy, and consumer decisions, including incentive-compatible tasks.
  • Identified information fluency in comparative judgments as a key mechanism driving this bias.

Conclusions:

  • Quantification fixation systematically influences decision-making, favoring numerically presented information.
  • This bias has tangible financial consequences in real-world scenarios like hiring and charitable giving.
  • The way information is presented numerically changes the perceived importance and value of decision attributes.