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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]
For example, confirmation bias produces systematic errors in scientific research based on inductive reasoning (the gradual accumulation of supportive evidence). Similarly, a police detective may identify a suspect early in an investigation but then may only seek confirming rather than disconfirming evidence.
However, confirmation bias might be getting in your way, and the kicker is that you may not even know it. "With confirmation bias, we basically see what we want to see," says Dr. Craig Kain, Ph.D ...
In some academic disciplines, the study of bias is very popular. For instance, bias is a wide spread and well studied phenomenon because most decisions that concern the minds and hearts of entrepreneurs are computationally intractable. [12] Cognitive biases can create other issues that arise in everyday life.
Confirmation bias takes effect in the later stages of selective attention, when the individual has already started noticing the specific stimulus. By focusing on this specific stimulus, the individual notices it more, therefore confirming their suspicions of it occurring more frequently, even though in reality the frequency has not changed.
Argument from fallacy (also known as the fallacy fallacy) – the assumption that, if a particular argument for a "conclusion" is fallacious, then the conclusion by itself is false. [ 5 ] Base rate fallacy – making a probability judgment based on conditional probabilities , without taking into account the effect of prior probabilities .
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]
When referring to a generalization made from a single example, the terms fallacy of the lonely fact, [8] or the fallacy of proof by example, might be used. [9] When evidence is intentionally excluded to bias the result, the fallacy of exclusion—a form of selection bias—is said to be involved. [10]