Sentence examples for errors of which from inspiring English sources

It's not just the typos and grammatical errors – of which there are plenty – but the endless digressions, the inability to come to any sort of a point.

The more intriguing statistics were these: Federer, in trying to break down the Spaniard's phenomenal retrieving, hit 63 unforced errors, of which 36 of them were on his fabled forehand.

There were also 16 complaints about factual errors, of which 11 were fixed and five were carried over for a variety of reasons; and five complaints of bias in other stories, including two involving our coverage of Bernie Sanders, who is fighting for the US Democratic presidential nomination.

I guess Google fans (which, in a sense, I am) just hang onto the Google products we love while forgiving the company its trials and errors, of which there are many.

The most common form of GNSS is the Global Positioning System (GPS); we will first review its operating principles and then present a discussion of errors, of which ionospheric propagation is the most significant.

In conclusion, it is more than certain that doing more does not mean doing better, but it is also true that as Marcel Proust said "even the wisest of doctors are relying on scientific truths the errors of which will be recognized within a few years".

45 A growing fraction of US healthcare organisations are using this instrument, but it was designed specifically to identify treatment errors, specifically errors of commission, and is poorly suited to detecting diagnostic errors, many of which are errors of omission.

Several cameramen shadowed Uchimura as he traveled from apparatus to apparatus, capturing his every flip, every twist — and even every error, of which there were a few.

But by not properly engaging the background operations of ideology, Chomsky risks falling in a trap door which he himself set, making the same error of which he accuses his opponents.

The linear model was fist employed to prediction the DTLs, the maximum error of which reaches 27%.

Further analysis showed that the predictions of the model fell within a 10% error, of which the major contribution is probably the experimental error of the measurements.