Randomization eliminates all confounding variables in experiments.

the verdict

REFUTED

the evidence says no

Recorded sources

0 sources for · 4 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 Randomization eliminates all confounding variables in experiments?

No. Reference and textbook sources state that randomization reduces confounding but does not eliminate all threats to validity, since unobserved confounders remain; one source says randomization eliminates most, not all, noncausal associations.

Verdict: REFUTED · 0 sources for, 4 against · Last checked 18 Oct 2026

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence against · 4

Randomization

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Randomization. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/Randomization

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More against · 3

Best Practice for Experimental Methods in Architecture

2026

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Zolan, C. J. (2026). Best Practice for Experimental Methods in Architecture. play.google.com. https://play.google.com/store/books/details?id=bCHPEQAAQBAJ&source=gbs_api

Emerging opportunities to harness real world data: An introduction to data sources, concepts, and applications

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Emerging opportunities to harness real world data: An introduction to data sources, concepts, and applications. (n.d.). cir.nii.ac.jp. https://doi.org/10.1111/dom.13948

Negative controls: a tool for detecting confounding and bias in observational studies.

2010

Get citation

Lipsitch, M., Tchetgen, E. T., & Cohen, T. (2010). Negative controls: a tool for detecting confounding and bias in observational studies.. doi.org. https://doi.org/10.1097/EDE.0b013e3181d61eeb

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