Concept

Attribution bias

Summary
In psychology, an attribution bias or attributional bias is a cognitive bias that refers to the systematic errors made when people evaluate or try to find reasons for their own and others' behaviors. People constantly make attributions—judgements and assumptions about why people behave in certain ways. However, attributions do not always accurately reflect reality. Rather than operating as objective perceivers, people are prone to perceptual errors that lead to biased interpretations of their social world. Attribution biases are present in everyday life. For example, when a driver cuts someone off, the person who has been cut off is often more likely to attribute blame to the reckless driver's inherent personality traits (e.g., "That driver is rude and incompetent") rather than situational circumstances (e.g., "That driver may have been late to work and was not paying attention"). 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. Since the early work, researchers have continued to examine how and why people exhibit biased interpretations of social information. Many different types of attribution biases have been identified, and more recent psychological research on these biases has examined how attribution biases can subsequently affect emotions and behavior. Research on attribution biases is founded in attribution theory, which was proposed to explain why and how people create meaning about others' and their own behavior. This theory focuses on identifying how an observer uses information in his/her social environment in order to create a causal explanation for events. Attribution theory also provides explanations for why different people can interpret the same event in different ways and what factors contribute to attribution biases.
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