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"empirically false" is a correct and usable phrase in written English.
You can use it to describe a hypothesis or statement that is based on accepted evidence or proof but has been proven false. For example, "The current theory of plate tectonics is empirically false, as recent studies have revealed new evidence about the structure of the Earth's plates."
Exact(23)
It's as if some small tweak in our development assistance could have prevented this act – even if we know that to be empirically false.
Dawkins's refusal to admit that "a single human benefit has ever flowed from religious faith, [is] a view which is as a priori improbable as it is empirically false".
"I don't doubt that 99percentt of occultism is empirically false," he said in an interview with The Times, "but the approach to it has to be based on an examination of the evidence by people qualified to do that, not on outright condemnation".
Not only is this empirically false, it is theoretically unacceptable.
But of course the idea that faith and evolution are irreconcilable is simply empirically false.
Therefore, connectionism is either true as an implementation theory, or empirically false as a theory of cognitive architecture.
Similar(37)
We then use two large, open-access data sets to empirically estimate false positive rates and how these depend on sample size, degree of smoothing and modulation.
So, support functions in collections representing vague prior plausibilities for an individual agent (i.e., a vagueness set) and representing the diverse range of priors for a community of agents (i.e., a diversity set) will very likely come to agree on the near 0 posterior probability of empirically distinct false rivals of a true hypothesis.
It proposes that most religious language is unfalsifiable because there is no way that it could be empirically proven false.
Once the search space has been reduced to include only candidate sequences with E values lower than that which correlates to a threshold empirically determined false positive rate, the 9-ion algorithm can be used for more complete characterization.
To empirically test the false positive rate of our analysis procedure, we repeated the analyses, treating randomly selected Mock IP data sets as if they represented results for a candidate RBP (see "Materials and Methods").
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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