Sentence examples for an obvious error of from inspiring English sources

Suggestions(1)

The phrase "an obvious error of" is correct and usable in written English.
It can be used when pointing out a clear mistake or oversight in a statement, argument, or piece of work.
Example: "The report contained an obvious error of calculation that affected the final results."
Alternatives: "a clear mistake in" or "a blatant error of".

Exact(1)

As you move up, there are fewer right and wrong answers.' So what causes someone capable of dealing with these complicated decisions to make such an obvious error of judgment?

Similar(59)

Iunias, an obvious error, to VII Id.

Diana Athill, who was for many years Naipaul's editor, once left an obvious error in one of his books because she was so fed up with the difficulty of dealing with him.

There was an obvious error at the start of the simulation and this was attributed to settling down of the simulation algorithms.

After fixing an obvious error in her description of the exchange she provided a year later, the Oversight and Compliance training woman said it would have happened "during the timeframe between 5-12 April 2013".

All discrepancies could be attributed to an obvious error, or incomplete analysis of the Plasmodium gene.

It shows that on Gastineau's first sack of DeBerg, Gastineau was unblocked because of an obvious error by the line.

Reds boss Brendan Rodgers described the sending-off at the time as "a really disappointing decision" but Uefa rules permit an appeal only "where a decision by the referee involves an obvious error (such as mistaking the identity of the person penalised)".

Reds boss Brendan Rodgers described the sending-off at the time as "a really disappointing decision" but Uefa rules permit an appeal  only "where a decision by the referee involves an obvious error (such as mistaking the identity of the person penalised)".

Yet Figure 3A of Casey et al. indicates as many as 320 horizontal wells were drilled by the end of 2007, an obvious error in their paper.

If you see only a little red, say less than 5% of records with an obvious error, you can use this data with caution.

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