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Data does not speak for itself.
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But soon they realized, data doesn't speak, it only responds.
For the 99percentt of women without mutations in these or other high-risk genes, existing trial data do not speak to current trends.
Historical data do not speak for themselves; archives are incomplete, ambiguous, contradictory, and confusing.
The data do not speak to mechanisms through which the inhibition of some volume crimes may multiply preventive outcomes.
This suggests that these data do not speak to the ability to judge any single target as Democrat or Republican but, instead, speak to the general ability of the average perceiver to accurately discern others' political affiliations from their faces.
Although our data do not speak to that issue, our test for heterogeneity between these two populations showed marked and systematic differences in genotypes for a subset of the SNPs (data not shown), suggesting ancestral differences between the two populations.
The issue of whether nonhuman primates have volitional control of their vocalizations remains a topic of considerable debate [63], [64], [65] and these data do not speak directly to this issue.
The present data do not speak on a specific locus of processing music meaning, much rather it appears as if meaning anything other than that expressed by language appears to be processed in a domain-general fashion, which is dedicated to actions, voices as well as music.
The data do not speak directly to such a broad claim.
Because of imbalanced lineage sampling, the data do not speak unambiguously in favor on any particular theory.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com