Sentence examples for as skewed from inspiring English sources

The phrase "as skewed" is correct and usable in written English.
It can be used to describe something that is distorted, biased, or not aligned properly in comparison to a standard or expectation.
Example: "The results of the survey were as skewed as the previous year's data, leading to questionable conclusions."
Alternatives: "as biased" or "as distorted".

Exact(29)

The dress code was as skewed as the mood.

The list was as skewed as the 2000 Florida voter lists; someone was clearly playing games.

Since I have never given a penny to any Republican cause, I can only assume that the committee's use of intelligence-gathering is as skewed as the administration's was on weapons of mass destruction.

More men do watch the Super Bowl, although the proportion is not as skewed as some might think: last year 42.2 million men over 18 watched, compared with 32.6 million women, Nielsen reports.

Though its style is often as skewed as a tilt-a-whirl ride, "Bloody Bloody" takes precision aim at its central target: an impatient electorate ruled by a hunger for instant gratification.

Dutch pre-tax incomes are by some measures nearly as skewed as America's, but once the government has chopped them up and passed them around, they are among the world's most egalitarian.

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Similar(31)

The results -- 694 against having the group, known as GESO, as their union and 651 in favor -- were especially embarrassing because the group had organized the vote with procedures that were widely viewed as skewing the poll in its favor.

Analysts observed that the poll was taken in a light drizzle at 4 A.M. E.D.T., before the high-income segment is awake, prompting observers to analyze the results as skewing in favor of CBS.

The vote, in which there were 80 uncounted, challenged ballots, was especially embarrassing to the graduate students organization, because it had set up the vote with procedures widely seen as skewing the results in its favor.

Twitter touted this group as skewing younger, noting that those 52percentt of those 18-34 are more likely to login on mobile than other groups.

Data producing a bias (such as skewing toward short sequences) or noise were automatically eliminated.

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