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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. [3]
Fundamental attribution error, the tendency for people to overemphasize personality-based explanations for behaviors observed in others while under-emphasizing the role and power of situational influences on the same behavior [115] (see also actor-observer bias, group attribution error, positivity effect, and negativity effect). [129]
Fritz Heider discovered Attribution theory during a time when psychologists were furthering research on personality, social psychology, and human motivation. [5] Heider worked alone in his research, but stated that he wished for Attribution theory not to be attributed to him because many different ideas and people were involved in the process. [5]
For example, Fundamental attribution error, which is the instinctive tendency to ascribe a certain behaviour to the individual's personality whilst neglecting the influence of situational factors, is a central concept to social psychology and is heavily founded on the spontaneous trait inference.
“In psychologist terms, we call that the fundamental attribution error,” Beilock said. “Part of that is feeling like you can trust one another, [that] you have a community.
Participants in experiments who watched training videos and played debiasing games showed medium to large reductions both immediately and up to three months later in the extent to which they exhibited susceptibility to six cognitive biases: anchoring, bias blind spot, confirmation bias, fundamental attribution error, projection bias, and ...
Naïve realism provides a theoretical basis for several other cognitive biases, which are systematic errors when it comes to thinking and making decisions. These include the false consensus effect, actor–observer bias, bias blind spot, and fundamental attribution error, among others.