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The phrase "unambiguous argument" is correct and usable in written English.
It can be used when discussing a point or reasoning that is clear and not open to multiple interpretations. Example: "In order to convince the jury, the lawyer presented an unambiguous argument that left no room for doubt."
Exact(1)
Not only was this a call to end discrimination, but an unambiguous argument for the recognition of same-sex marriage across the country.
Similar(58)
It is unambiguous in its findings and arguments about spending on research and development as a matter of US national security.
For example, the ad baculum fallacy is a form of intimidation that violates the rule that one may not attempt to prevent one's discussion partner from expressing their views; equivocation is a violation of the rule that formulations in arguments must be clear and unambiguous; post hoc ergo propter hoc violates the rule that arguments must be instances of schemes correctly applied.
Which of the two pathways is chosen during the comprehension of a given sentence crucially depends on the morphological informativeness (i.e. presence or absence of unambiguous morphological case marking) of the arguments.
The subject line was unambiguous: "Message from Mr. Donald Trump".
"This clear and unambiguous expression of purpose contradicts Arizona's argument that the day labor provisions are content-neutral traffic regulations," the judges' ruling said.
29 31 The unambiguous messages reached participants in a way rational arguments had not, leaving most unable to counter-argue or rationalise their behaviour.
Judges in New York, Ohio and Arizona have rejected the argument, saying simply that the Supreme Court's cutoff was unambiguous.
McVeigh is by common consent the best argument for capital punishment imaginable -- a remorseless mass murderer of unambiguous guilt -- and yet his execution, by defying the widespread expectations for civic satisfaction that it promised, may instead have had the reverse effect, undermining confidence in the value of this distinctly American form of justice.
The arguments in its favour in terms of resilient, productive companies are unambiguous.
Greene [ 20] offers a different perspective, noting that arguments in favour of fixed or random effects frequently fail to provide unambiguous guidance; and concludes that the choice between fixed and random effects should instead be driven by the data.
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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