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

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.