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the claim

Human choices made at random exhibit predictable systematic biases

the verdict
SUPPORTED
the evidence backs this
Recorded sources
9 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Extensive research in behavioral economics and psychology demonstrates that human decision-making is consistently influenced by predictable cognitive biases and heuristics rather than being purely random or entirely rational.

The analysis

The retrieved papers consistently support the claim that human decisions, even when seemingly arbitrary or non-rational, exhibit systematic patterns of cognitive bias across fields such as finance, medicine, law, and general decision-making. No papers refute this well-established consensus in behavioral economics.

Evidence for · 9
Recorded source metadata

Jafar Rezaei, Alireza Arab, Mohammadreza Mehregan. Equalizing bias in eliciting attribute weights in multiattribute decision‐making: experimental research. 2021. https://doi.org/10.1002/bdm.2262

This study demonstrates that decision-makers systematically exhibit equalizing bias when assigning attribute weights.

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More for · 8
Recorded source metadata

Inga Chira, Michael Adams, Barry Thornton. Behavioral Bias Within The Decision Making Process. 2011. https://doi.org/10.19030/jber.v6i8.2456

This paper reviews empirical evidence showing that cognitive errors and systematic behavioral biases consistently distort individual decision-making.

Recorded source metadata

Shurui Xu. The Impact of Behavioral Bias on Investment Decision-Making. 2023. https://doi.org/10.54097/hbem.v15i.9348

This review highlights how behavioral finance principles demonstrate systematic, non-rational patterns in financial choices driven by cognitive factors.

Recorded source metadata

Eyal Zamir, Doron Teichman. Judicial Decision-Making. 2018. https://doi.org/10.1093/oso/9780190901349.003.0016

This chapter details how predictable heuristics and biases such as anchoring and hindsight bias systematically impact judicial decision-making.

Recorded source metadata

Michael Hallek, Axel Ockenfels, Daniel Wiesen. Behavioral Economics Interventions to Improve Medical Decision-Making.. 2022. https://doi.org/10.3238/arztebl.m2022.0275

This paper notes that behavioral biases and cognitive patterns contribute significantly to predictable gaps in medical decision-making.

Recorded source metadata

Insook Cho, David W Bates. Behavioral Economics Interventions in Clinical Decision Support Systems.. 2018. https://doi.org/10.1055/s-0038-1641221

This review finds that clinicians consistently exhibit predictable cognitive biases and heuristics, such as framing and status-quo bias, during medical decisions.

Recorded source metadata

David W Chambers. Behavioral economics.. 2009. https://pubmed.ncbi.nlm.nih.gov/20415136/

This overview explains that human irrationality and fuzzy thinking in estimation and probabilities are systematic and predictable rather than random.

Recorded source metadata

Andrew M Williams, Peggy J Liu, Kelly W Muir, Evan L Waxman. Behavioral economics and diabetic eye exams.. 2018. https://doi.org/10.1016/j.ypmed.2018.04.006

This study outlines how default and present biases systematically undermine preventive health adherence, such as regular eye examinations.

Recorded source metadata

Stephen Whyte, Laura Bray, Ho Fai Chan, Raymond J Chan, Jeremy Hunt, Tim S Peltz, Uwe Dulleck, Dietmar W Hutmacher. Cognitive Bias and Therapy Choice in Breast Reconstruction Surgery Decision-Making.. 2022. https://doi.org/10.1097/PRS.0000000000008903

This empirical study finds uniform and prevalent cognitive biases affecting medical and surgical choice across patients and professionals alike.

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first checked01 Aug 2026
judged → SUPPORTED · 8601 Aug 2026
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