── ── Cognitive bias

Authority Bias

Authority bias is the automatic tendency to comply with directives from authority figures — often overriding one's own judgment, ethics, or evidence. It operates beneath conscious deliberation: people substitute the authority's judgment for their own rather than weighing it.

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How it works

S1 — Identify: Authority (person/institution) · question/decision · authority signals (title, attire, credentials) · pressure to defer.

S2 — Expertise vs. positional: Actual track record on this question type? Positional (CEO, chair) or domain expertise (years operating here)? Would a peer expert agree?

S3 — Examine reasoning: Is the reasoning sound independent of who's stating it? Are logical gaps being filled by authority signals?

When to use it

  • someone says 'should we trust the expert on this?', 'they're a professor/CEO/MD so they must be right', 'I don't want to push back on them', 'we deferred to the board and it blew up', or is evaluating a charismatic founder, assessing due diligence on a high-credential deal, or building a team where senior voices dominate

When not to use it

When the decision is routine and reversible, applying a formal method costs more than it returns.

Worked example

Deferring to AI Authority — Confident LLMs and Lab-Leader Pronouncements (2024–2026)

By 2024–2026, two new authority signals became routine inputs to real decisions. First, large language models answer in fluent, confident, well-formatted prose — a rhetorical register that reads as expertise regardless of whether the underlying answer is correct. Second, the leaders of frontier AI labs make widely-quoted pronouncements about capability and timelines (when models will reach a given benchmark, when a class of jobs is automated, when "AGI" arrives), and those pronouncements are treated as forecasts from the highest possible authority. In both cases the…

Install this skill (free, MIT)

$npx skills add deciqAI/knowledge-skills
View Authority Bias source on GitHub →

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