Examples of 'were biased' in a sentence
Meaning of "were biased"
were biased - Refers to a situation where a person or group demonstrates a prejudice or inclination towards a particular viewpoint, without impartiality or fairness. The phrase implies that the judgments, opinions, or actions exhibited by the individuals or entities involved were influenced by personal or subjective factors, potentially leading to an unfair advantage or disadvantage for certain parties
How to use "were biased" in a sentence
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were biased
The government officials were biased against them.
You were biased against the homeowner.
I think you were biased here.
A casual observer might have thought they were biased.
They were biased because she was returning from a career break.
Economic reports for the week were biased negatively again.
The student came to false conclusions because the sources were biased.
The spokes of such wheels were biased in compression and in flexion by a rim.
My hesitation was because they were biased.
In particular they were biased against both older and female applicants.
The author alleges that the hearings in his case were biased.
They said the buyers were biased to buy my groundnuts at such a high price.
Their priorities were biased.
If he were biased he would have taken the out provided by the Brady violation.
I wondered if my impressions were biased.
See also
Science journals were biased against DDT.
The campaign was not free and fair because the media were biased.
In effect the questions around licensing were biased in favor of the status quo.
My parents were biased towards me, especially my mother.
He argues that the two commissioners at the hearing were biased against him.
And you think they were biased against you before?
As a result, all the evaluations were biased.
Most often, estimates were biased toward the null value.
They're going to try to say you were biased.
The question were biased and slanted, the facts incorrect.
This was based on the results of studies that were biased and poorly conducted.
He said police were biased against his clients ' political beliefs.
Danbar alleged that certain mandatory technical specifications were biased in favour of a particular supplier.
Four micro-locations were biased positive in the matrix and the remainder were biased negative.
Either all the Committee members were biased or none were.
The data were biased towards central Europe, where the rates were highest figure 2.
LGBTI groups claimed police were biased against them.
With regard to the arrested suspects, the Government replied that allegations of illtreatment were biased.
LGBTI groups alleged that police were biased against them.
The questions were biased and slanted, the facts incorrect, " he said.
Brenda Birkman thought those tests were biased and sued.
Parents also revealed they were biased towards risk-related information.
Both the French and the British-Portuguese were biased.
Some media reports alleged that UNMIK staff were biased and listed their names and nationalities.
I would be very disappointed, Sheriff, if you were biased.
I believe that your presentations were biased & unfair for the following reasons,.
Secondly, Mr Bushill-Matthews gave the impression that the negotiations were biased and one-sided.
His Honour found that his actions were biased towards the interests of the Jehovah 's Witnesses.
Too many times I've taken amps that were biased to.
Few diagnostic tools were comprehensive ; most were biased toward either physical or emotional symptoms.
For negatively charged synthetic address units, e.g., pRNAs, the positions were biased positive.
One study had found 2016 campaign searches were biased in favor of Hillary Clinton.
They claimed that reports of German mistreatment of Jews were biased and without foundation.
Maybe it was because the judges were biased against YA.
The regional State-controlled and private broadcasters were biased in favour of the incumbent.
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Examples of using Biased
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Thus a partial and biased perception is created
And biased ever so slightly towards understeer
Coverage tends to be biased against poor people
