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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.
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]
The observational interpretation fallacy is the cognitive bias where associations identified in observational studies are misinterpreted as causal relationships.This misinterpretation often influences clinical guidelines, public health policies, and medical practices, sometimes to the detriment of patient safety and resource allocation.
Selective exposure is a theory within the practice of psychology, often used in media and communication research, that historically refers to individuals' tendency to favor information which reinforces their pre-existing views while avoiding contradictory information.
Confirmation bias is the tendency to favour information that is consistent with prior beliefs or values. [6] When Semmelweis introduced the handwashing proposal, the existing beliefs on disease transmission that other doctors held at that time included miasma theory , which suggests diseases were spread through “bad air”.
However, confirmation bias is mainly a sub-conscious (innate) cognitive bias. In contrast, motivated reasoning (motivational bias) is a sub-conscious or conscious process by which one's emotions control the evidence supported or dismissed. For confirmation bias, the evidence or arguments can be logical as well as emotional.
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Double blind techniques may be employed to combat bias by causing the experimenter and subject to be ignorant of which condition data flows from. It might be thought that, due to the central limit theorem of statistics, collecting more independent measurements will improve the precision of estimates, thus decreasing bias. However, this assumes ...