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Authority bias is the tendency to attribute greater accuracy to the opinion of an authority figure (unrelated to its content) and be more influenced by that opinion. [1] An individual is more influenced by the opinion of this authority figure, believing their views to be more credible, and hence place greater emphasis on the authority figure's viewpoint and are more likely to obey them.
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]
An argument from authority [a] is a form of argument in which the opinion of an authority figure (or figures) is used as evidence to support an argument. [ 1 ] The argument from authority is a logical fallacy , [ 2 ] and obtaining knowledge in this way is fallible.
False authority (single authority) – using an expert of dubious credentials or using only one opinion to promote a product or idea. Related to the appeal to authority. False dilemma (false dichotomy, fallacy of bifurcation, black-or-white fallacy) – two alternative statements are given as the only possible options when, in reality, there ...
An example is a probabilistically valid instance of the formally invalid argument form of denying the antecedent or affirming the consequent. [ 12 ] Thus, "fallacious arguments usually have the deceptive appearance of being good arguments, [ 13 ] because for most fallacious instances of an argument form, a similar but non-fallacious instance ...
A U.S. judge on Friday said Southwest Airlines must face a lawsuit by a prominent affirmative action opponent claiming a now-defunct program that awarded free flights to Hispanic college students ...
Implicit bias is an aspect of implicit social cognition: the phenomenon that perceptions, attitudes, and stereotypes operate without conscious intention. For example, researchers may have implicit bias when designing survey questions and as a result, the questions do not produce accurate results or fail to encourage survey participation. [125]
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