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"This trivial error was turned into a huge misjudgment".
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The sum of such trivial errors is a lingering impression of visual weirdness, a definitional flaw so intense as to form its own expressionism.
Or, "surely that's such a trivial error…" What is amazing, is that apart from this seemingly endless list of corrections, it's quite a favourable notice.
Since we consider the maximum number of faults that the software is able to contain in the modeling, these eliminated trivial errors will be counted into the total number of faults.
If, then selecting for the minimum error is trivial since it is based on selecting one feature, and this corresponds to the minimum error resulted using the decision stump.
The cause of these trivial errors could be human mistakes or other simple settings.
For larger targets at a distance (given the non-magnifying, quick target acquisitions nature of the sight) this aiming error is considered trivial.
But if error is not trivial, we need a mechanism for minimizing it.
The developers, at risk of losing tens of millions of dollars in sales, fought back, saying they had made a trivial error that should be ignored.
Optimizing the distortion functions to derive the minimum error is a non‐trivial task.
Over the years, the hole argument was deemed to be a trivial error by an otherwise insightful Einstein.
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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