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Biased or Opinionated Sources - Wikipedia articles are required to present a neutral point of view. However, reliable sources are not required to be neutral, unbiased, or objective. Sometimes non-neutral sources are the best possible sources for supporting information about the different viewpoints held on a subject.

 Video: Bias Police Problem, Bias Preschool Problem

Bias Isn't Just A Police Problem, It's A Preschool Problem | Let's Talk | NPR
A new study by researchers at Yale found that pre-K teachers, white and black alike, spend more time watching black boys -- expecting trouble. NPR reports


Bias Types from Wikipedia

A statistic is biased if it is calculated in such a way that it is systematically different from the population parameter being estimated. The following lists some types of biases, which can overlap.

  • Selection bias involves individuals being more likely to be selected for study than others, biasing the sample. This can also be termed Berksonian bias.

    --Spectrum bias arises from evaluating diagnostic tests on biased patient samples, leading to an overestimate of the sensitivity and specificity of the test.

  • The bias of an estimator is the difference between an estimator's expected value and the true value of the parameter being estimated.

    --Omitted-variable bias is the bias that appears in estimates of parameters in regression analysis when the assumed specification omits an independent variable that should be in the model.

  • In statistical hypothesis testing, a test is said to be unbiased if, for some alpha level (between 0 and 1), the probability the null is rejected is less than or equal to the alpha level for the entire parameter space defined by the null hypothesis, while the probability the null is rejected is greater than or equal to the alpha level for the entire parameter space defined by the alternative hypothesis.
  • Detection bias occurs when a phenomenon is more likely to be observed for a particular set of study subjects. For instance, the syndemic involving obesity and diabetes may mean doctors are more likely to look for diabetes in obese patients than in thinner patients, leading to an inflation in diabetes among obese patients because of skewed detection efforts.
  • In educational measurement, bias is defined as "Systematic errors in test content, test administration, and/or scoring procedures that can cause some test takers to get either lower or higher scores than their true ability would merit. The source of the bias is irrelevant to the trait the test is intended to measure."
  • Funding bias may lead to the selection of outcomes, test samples, or test procedures that favor a study's financial sponsor.
  • Reporting bias involves a skew in the availability of data, such that observations of a certain kind are more likely to be reported.
  • Analytical bias arises due to the way that the results are evaluated.
  • Exclusion bias arise due to the systematic exclusion of certain individuals from the study.
  • Attrition bias arises due to a loss of participants e.g. loss to follow up during a study.
  • Recall bias arises due to differences in the accuracy or completeness of participant recollections of past events. e.g. a patient cannot recall how many cigarettes they smoked last week exactly, leading to over-estimation or under-estimation.
  • Observer bias arises when the researcher subconsciously influences the experiment due to cognitive bias where judgment may alter how an experiment is carried out / how results are recorded.

We Recommend

Partner with organizations, children’s museums, schools, and families across the country to promote access to children’s books centering underrepresented and oppressed groups.

  • The Conscious Kid is an education, research and policy organization dedicated to reducing bias and promoting positive identity development in youth.
  • American Indians in Children’s Literature
  • ADL’s Education Department provides educational programs, training and resources for grades PreK-12 and college/university settings. Our anti-bias and bullying prevention programs assist educators and students in understanding and challenging bias and building ally behaviors. Our work in confronting anti-Semitism empowers young people with constructive responses to combat anti-Semitism. We also have programs and resources to help students explore and critically reflect on the lessons of the Holocaust.
  • The National Association for the Education of Young Children (NAEYC) is a professional membership organization that works to promote high-quality early learning for all young children, birth through age 8, by connecting early childhood practice, policy, and research. We advance a diverse, dynamic early childhood profession and support all who care for, educate, and work on behalf of young children. The association comprises nearly 60,000 individual members of the early childhood community and more than 50 Affiliates, all committed to delivering on the promise of high-quality early learning. Together, we work to achieve a collective vision: that all young children thrive and learn in a society dedicated to ensuring they reach their full potential.


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