False Consensus Effect
People who choose one response often estimate it as more common than people who choose an alternative do; calling it “false” requires an actual base-rate check.
Public evidence overview
One checked source, with its limits.
This preview is not the complete evidence base. Use it as a question to investigate in your own product, not as a prediction of what an individual will do.
Statistical Criteria for Establishing a Truly False Consensus Effect
Research-assisted source review
- What it supports
- Own response can contain information about a population rate, so a relative association is not sufficient to establish a truly false or irrational estimate; calibration against actual rates matters.
- Where it may not transfer
- The paper is a statistical critique rather than a new behavioural experiment. Its argument does not imply all consensus estimates are accurate or that self-projection cannot bias judgements.
See how sources and limitations are checked in our editorial method.
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