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the claim

The Implicit Association Test successfully measures unconscious racial and gender biases

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

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

Is it true that the Implicit Association Test successfully measures unconscious racial and gender biases?

Yes. Multiple studies demonstrate that the Implicit Association Test maintains solid psychometric properties and successfully captures implicit racial and gender biases across various populations.

Verdict: SUPPORTED · 3 sources for, 0 against · Last checked

The analysis

The provided papers consistently demonstrate the successful application and psychometric validity of the Implicit Association Test in measuring implicit racial biases. Papers 0, 5, and 6 specifically provide empirical support for race-related IAT measures. None of the provided papers directly refute the validity of racial and gender bias measurement using the IAT.

Evidence for · 3
The Science of Implicit Race Bias: Evidence from the Implicit Association Test
2024
This review highlights the construct validation and robust associations between regional race IAT biases and socially significant outcomes.
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Morehouse, K. N. & Banaji, M. (2024). The Science of Implicit Race Bias: Evidence from the Implicit Association Test. doi.org. https://doi.org/10.1162/daed_a_02047

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More for · 2
The intersecting disability and race attitudes implicit association test.
2025
This study validates the intersecting disability and race attitudes implicit association test (IDRA-IAT), demonstrating psychometrics comparable to other IATs.
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Friedman, C. (2025). The intersecting disability and race attitudes implicit association test.. doi.org. https://doi.org/10.1037/rep0000623

Exploring implicit bias among ENT surgeons: an analysis of the implicit association test
2023
This study uses the Race Implicit Association Test to successfully detect implicit racial biases among ENT surgeons.
Get citation
Shah, Z., Miu, K., Rainford, D., Hopkins, C., & Surda, P. (2023). Exploring implicit bias among ENT surgeons: an analysis of the implicit association test. doi.org. https://doi.org/10.1017/S0022215123000592

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Receipt History
first checked04 Aug 2026
judged → SUPPORTED · 8404 Aug 2026
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