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Confirmation bias (also confirmatory bias, myside bias [a] or congeniality bias [2]) is the tendency to search for, interpret, favor and recall information in a way ...
Confirmation bias is the tendency to search for, interpret, focus on and remember information in a way that confirms one's preconceptions. [32] There are multiple other cognitive biases which involve or are types of confirmation bias: Backfire effect, a tendency to react to disconfirming evidence by strengthening one's previous beliefs. [33]
"Confirmation bias is basically our mind's tendency to look for evidence to support theories, ideas and beliefs that we have already," Dr. Kain explains. "This is done instead of seeking out ...
The Cognitive Bias Codex. A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. [1] [2] 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 1996, Elton, Gruber, and Blake showed that survivorship bias is larger in the small-fund sector than in large mutual funds (presumably because small funds have a high probability of folding). [8] They estimate the size of the bias across the U.S. mutual fund industry as 0.9% per annum, where the bias is defined and measured as:
Naturalistic fallacy fallacy is a type of argument from fallacy. Straw man fallacy – refuting an argument different from the one actually under discussion, while not recognizing or acknowledging the distinction. [110] Texas sharpshooter fallacy – improperly asserting a cause to explain a cluster of data. [111]
Motivated reasoning (motivational bias) is an unconscious or conscious process by which personal emotions control the evidence that is supported or dismissed. However, confirmation bias is mainly an unconscious (innate, implicit) cognitive bias, and the evidence or arguments utilised can be logical as well as emotional.
Some scholars classify cherry-picking as a fallacy of selective attention, the most common example of which is the confirmation bias. [3] Cherry picking can refer to the selection of data or data sets so a study or survey will give desired, predictable results which may be misleading or even completely contrary to reality. [4]