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the claim

A lower p-value indicates a larger or more important effect.

the verdict
REFUTED
the evidence says no
Recorded sources
0 sources for · 2 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 a lower p-value indicates a larger or more important effect?

No. A statistics methods article states that, with equal sample sizes, the relationship with the larger magnitude of effect will have the smaller p-value, directly contradicting the claim. A sequencing comparison also reports lower p-values alongside smaller effect sizes.

Verdict: REFUTED · 0 sources for, 2 against · Last checked

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Evidence against · 2
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P value interpretations and considerations - PMC Lock. (n.d.). pmc.ncbi.nlm.nih.gov. https://doi.org/10.21037/jtd.2016.08.16

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More against · 1
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CoolMPS: evaluation of antibody labeling based massively parallel non-coding RNA sequencing. (n.d.). cir.nii.ac.jp. https://doi.org/10.1093/nar/gkaa1122

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