bias
Sign in to savethumb|Man in the Moon|Interpretations of the random patterns of craters on the Moon. A common example of a perceptual bias caused by [[pareidolia.]] Bias is a disproportionate weight in favor of or against an idea or thing, usually in a way that is inaccurate, closed-minded, prejudicial, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group, or a belief. In science and engineering, a bias is a systematic error. Statistical bias results from an unfair sampling of a population, or from an estimation process that does not give accurate results
Article
52 sectionsContents
- Etymology
- Types
- Cognitive biases
- Anchoring
- Apophenia
- Attribution bias
- Confirmation bias
- Framing
- Halo effect and horn effect
- Self-serving bias
- Status quo bias
- Conflicts of interest
- Corruption
- Favoritism
- Lobbying
- Regulatory issues
- Shilling
- Statistical biases
- Forecast bias
- Observer-expectancy effect
- Reporting bias and social desirability bias
- Selection bias
- Prejudices
- Ageism
- Classism
- Lookism
- Racism
- Sexism
- Contextual biases
- Biases in academia
- Academic bias
- Experimenter bias
- Funding bias
- Full text on net bias
- Publication bias
- Biases in law enforcement
- Driving while black
- Racial profiling
- Victim blaming
- Biases in media
- Agenda setting
- Gatekeeping
- Sensationalism
- Other contexts
- Educational bias
- Inductive bias
- Insider trading
- Match fixing
- Implicit bias
- See also
- References
- External links
thumb|Man in the Moon|Interpretations of the random patterns of craters on the Moon. A common example of a perceptual bias caused by [[pareidolia.]] Bias is a disproportionate weight in favor of or against an idea or thing, usually in a way that is inaccurate, closed-minded, prejudicial, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group, or a belief. In science and engineering, a bias is a systematic error. Statistical bias results from an unfair sampling of a population, or from an estimation process that does not give accurate results on average.
==Etymology== The word appears to derive from Old Provençal into Old French biais, "sideways, askance, against the grain". Whence comes French biais, "a slant, a slope, an oblique".