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Showing results for "biased"
  • past participle of bias.
  • past tense form of bias.
Search instead for misbiased.
Synonyms

biased

American  
[bahy-uhst] / ˈbaɪ əst /
especially British, biassed

adjective

  1. having or showing bias or prejudice.

    They gave us a biased report on immigration trends.


Other Word Forms


Etymology

Origin of biased

First recorded in 1605–15; bias + -ed 2


Explanation

When a skirt is cut at an angle, with one side higher than the other, it has a bias cut. Being biased is kind of lopsided too: a biased person favors one side or issue over another. While biased can just mean having a preference for one thing over another, it also is synonymous with "prejudiced," and that prejudice can be taken to the extreme. Sometimes a person is so biased, or is leaning so far in one direction, that it's hard to see the other position, creating unfairness in an argument or decision. Often, though, it's used more lightly: "My mom makes the best brownies in the world, but I might be a little biased."

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Vocabulary lists containing biased

Example Sentences

Examples are provided to illustrate real-world usage of words in context. Any opinions expressed do not reflect the views of Dictionary.com.

See Examples For:

In their study, the researchers found that in nine of the 13 US areas they looked at, police data from periods of unlawful or biased policing was available to train these systems.

From BBC ● Oct. 25, 2026

Richard said it was massive to bring it back: "I may be a little bit biased but I think it's the biggest story in UK ice hockey this year."

From BBC ● Oct. 2, 2026

However, those associations have generally been modest, and scientists have not been sure whether biased attention contributes to depression or develops because of it.

From Science Daily ● Sep. 29, 2026

Yet today, many Jews believe that publishing is biased against them.

From The Wall Street Journal ● Sep. 10, 2026

The polling samples were biased toward those who thought the broadcast was real, and the statistical analyses of the data were flawed.

From "Spooked!" by Gail Jarrow

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