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Related Experiment Video

Updated: Jul 17, 2026

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

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Accurate Approximations About the Truth from Literally False Messages.

Lauren A Oey^1,2, Edward Vul¹

¹University of California, San Diego, Department of Psychology, San Diego, California USA.

Computational Brain & Behavior

|July 16, 2026

Summary

People can detect lies when they expect liars have adversarial motives and bigger lies are costlier. This defense mechanism improves truth inference but reduces communication precision, even for honest speakers.

Keywords:

Communication Deception Lie detection Probabilistic models Social cognition

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Area of Science:

Cognitive Science
Behavioral Economics
Information Theory

Background:

Communication can be manipulated through deception, particularly explicit lies.
Understanding human defenses against manipulation is crucial for effective communication.

Purpose of the Study:

To investigate how individuals infer truth from deceptive messages under specific conditions.
To analyze the impact of lie detection on dyadic and collective communication systems.

Main Methods:

A laboratory experiment was conducted to test human lie detection capabilities.
Probabilistic simulations were used to model deceptive communication systems.

Main Results:

Participants could correct for bias in lies when expecting adversarial motives and higher costs for larger lies, albeit with reduced precision.
Deceptive communication systems were found to converge to equilibrium states where listeners achieve less precise, but accurate, truth estimates.
Even cooperative speakers may resort to lying when listeners adjust for expected message distortion.

Conclusions:

Individuals possess a defense mechanism against deception under specific conditions, but it introduces noise into communication.
The strategic adjustment to expected dishonesty can paradoxically incentivize lying, even from cooperative sources, impacting overall communication fidelity.