Bias refers to a systematic error or distortion in the measurement or interpretation of data that leads to an unfair or unbalanced representation. It can result from intentional manipulation, unconscious influence, or flawed methodology.
Related terms
Sampling Bias: When the sample used for data collection is not representative of the entire population, leading to skewed results.
Confirmation Bias: The tendency to seek out information that confirms preexisting beliefs while ignoring contradictory evidence.
Selection Bias: Occurs when specific types of individuals are more likely to be included in a study, which can distort findings.