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Also known as current moment bias or present bias, and related to Dynamic inconsistency. A good example of this is a study showed that when making food choices for the coming week, 74% of participants chose fruit, whereas when the food choice was for the current day, 70% chose chocolate.
Present bias is the tendency to settle for a smaller present reward rather than wait for a larger future reward, in a trade-off situation. [ 1 ] [ 2 ] It describes the trend of overvaluing immediate rewards, while putting less worth in long-term consequences. [ 3 ]
Confirmation bias, a phrase coined by English psychologist Peter Wason, is the tendency of people to favor information that confirms or strengthens their beliefs or values and is difficult to dislodge once affirmed.
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.
Media bias is the bias or perceived bias of journalists and news producers within the mass media in the selection of events, the stories that are reported, and how they are covered. The term generally implies a pervasive or widespread bias violating the standards of journalism , rather than the perspective of an individual journalist or article ...
A graphical representation of the current and voltage properties of a transistor; the bias is selected so that the operating point permits maximum signal amplitude without distortion. In electronics , biasing is the setting of DC ( direct current ) operating conditions (current and voltage) of an electronic component that processes time-varying ...
The frequency illusion (also known as the Baader–Meinhof phenomenon) is a cognitive bias in which a person notices a specific concept, word, or product more frequently after recently becoming aware of it. The name "Baader–Meinhof phenomenon" was coined in 1994 by Terry Mullen in a letter to the St. Paul Pioneer Press. [1]
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.