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"much less accurate" is a grammatically correct phrase and can be used in written English.
It is typically used to compare two things or ideas, with the second one being less accurate or precise than the first. This phrase is often used to express a significant difference or contrast between two things. Example: "The information on the internet can be misleading, and much less accurate than information from reputable sources such as academic journals."
Exact(49)
"Regulatory risk measurement schemes," he added, "are simpler and much less accurate than banks' risk measurement models".
We can now conclude that over the past five years the polls started (gradually, presumably) to present a much less accurate picture of the strength of the parties.
As an explanation of what countries actually export and import, it is much less accurate than the more obvious and straightforward natural resource theory.
It therefore knows where tourists are going to, but has a much less accurate idea of where they have come from.
New Jersey has not had a mass coastal evacuation since 1985, when, at a time of much less accurate storm forecasting, Gov. Thomas H. Kean ordered the evacuation of the barrier islands.
Our research has found that, while polls are certainly worth looking at in House races, they are much less accurate than polls for contests like the United States Senate or governor.
Similar(11)
Even vital statistics of birth and death are unrecorded in many areas of the world, much less the accurate causes of disease and death.
But his argument that the agreement "doesn't really amount to much" is less accurate.
But that just does not seem possible this year, with major political events piling up on the calendar with little time to catch a breath in between, much less conduct an accurate poll.
The algorithm generates reasonably accurate results using a unique first approximation for Newton's method; however, it is much slower and less accurate than using the SSE instruction rsqrtss on x86 processors also released in 1999.
The maximum likelihood method, on the contrary, runs much faster with less accurate results.
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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