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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. 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.
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. Thus, cognitive biases may sometimes lead to perceptual ...
Publication bias is a type of bias with regard to what academic research is likely to be published because of a ... The level of media bias in different nations is ...
Additionally, there are many different types of attribution biases, such as the ultimate attribution error, fundamental attribution error, actor-observer bias, and hostile attribution bias. Each of these biases describes a specific tendency that people exhibit when reasoning about the cause of different behaviors.
Statistical bias, in the mathematical field of statistics, is a systematic tendency in which the methods used to gather data and generate statistics present an inaccurate, skewed or biased depiction of reality. Statistical bias exists in numerous stages of the data collection and analysis process, including: the source of the data, the methods ...
Framing effect (psychology) The framing effect is a cognitive bias in which people decide between options based on whether the options are presented with positive or negative connotations. [1] Individuals have a tendency to make risk-avoidant choices when options are positively framed, while selecting more loss-avoidant options when presented ...
Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that proper randomization is not achieved, thereby failing to ensure that the sample obtained is representative of the population intended to be analyzed. [1] It is sometimes referred to as the selection effect.
Sampling bias. In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others. It results in a biased sample [1] of a population (or non-human factors) in which all individuals, or instances, were not equally likely to have ...