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Affinity bias, also known as the similarity bias, similar-to-me effect, and the mini-me syndrome, refers to an implicit cognitive bias where people are favorably ...
For example, when getting to know others, people tend to ask leading questions which seem biased towards confirming their assumptions about the person. However, this kind of confirmation bias has also been argued to be an example of social skill; a way to establish a connection with the other person. [9]
The Cognitive Bias Codex. A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. [1] Individuals create their own "subjective reality" from their perception of the input. An individual's construction of reality, not the objective input, may dictate their behavior in the world.
In-group favoritism, sometimes known as in-group–out-group bias, in-group bias, intergroup bias, or in-group preference, is a pattern of favoring members of one's in-group over out-group members. This can be expressed in evaluation of others, in allocation of resources, and in many other ways.
The bandwagon effect is a psychological phenomenon where people adopt certain behaviors, styles, or attitudes simply because others are doing so. [1] More specifically, it is a cognitive bias by which public opinion or behaviours can alter due to particular actions and beliefs rallying amongst the public. [2]
Turnbull also highlighted affinity bias as a related factor, such as involving corporate hiring practices; while affinity bias was indicated to not be exclusive to dominant culture (i.e., culture of white men), in dominant culture, interviewers who showed a biased preference for candidates that were similar to them (e.g., candidates who are ...
An illustrative example of the way this phenomenon takes place can be demonstrated just by arbitrarily assigning a person to a distinct and objectively meaningless novel group; this alone is sufficient to create intergroup biases in which members of the perceiver's own group are preferentially favored. [8]
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.