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the claim

People systematically discount or fail to listen to expert advice

the verdict
CONTESTED
the evidence cuts both ways
Recorded sources
2 sources for · 2 against

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

While people sometimes discount expert advice due to biases, partisan divisions, or political pressures, research shows that under many conditions individuals readily use and appreciate expert recommendations.

The analysis

The claim asserts that people systematically discount or fail to listen to expert advice. The retrieved literature offers mixed findings: paper [5] shows bias against counter-partisan advice, and paper [6] documents real-world political sidelining of scientific expertise. Conversely, papers [1] and [8] show that judges and decision-makers often utilize and appropriately weight advice from experts. Because the evidence demonstrates that discounting occurs conditionally (based on framing, partisanship, or stakes) rather than universally as a blanket systematic failure, the balance of evidence is categorized as CONTESTED.

Evidence for · 2
Recorded source metadata

Yunhao Zhang, David G. Rand. Sincere or motivated? Partisan bias in advice-taking. 2023. https://doi.org/10.1017/jdm.2023.28

Demonstrates that individuals systematically discount advice from sources they are biased against, such as counter-partisans.

Evidence against · 2
Recorded source metadata

Janet A. Sniezek, Gunnar E. Schrah, Reeshad S. Dalal. Improving judgement with prepaid expert advice. 2004. https://doi.org/10.1002/bdm.468

Shows that under certain conditions, such as committing money for advice, decision-makers readily utilize expert guidance.

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More for · 1
Recorded source metadata

N. Marres, Matías Valderrama Barragán. Making expert advice public in a time of emergency: Independent SAGE and the contestation of science during the Covid pandemic in the UK. 2025. https://doi.org/10.1177/03063127241309071

Describes how public health expertise was ignored and sidelined during the COVID-19 pandemic, reflecting a dismissal of expert guidance.

More against · 1
Recorded source metadata

Konstantin Boob-Engel. Is AI as trustworthy as human experts? The role of advice source, technology knowledge, and perceptions of AI’s impact in organizational decision-making. 2025. https://doi.org/10.1080/12460125.2025.2594620

Finds that individuals place substantial weight on advice, showing no inherent aversion to expert sources compared to algorithms.

The paper trail · every fact has a biography
first checked01 Aug 2026
judged → CONTESTED · 3901 Aug 2026
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