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In psychology, the false consensus effect, also known as consensus bias, is a pervasive cognitive bias that causes people to "see their own behavioral choices and judgments as relatively common and appropriate to existing circumstances". [1]
Therefore, the false-consensus effect, or the tendency to deduce judgements from one's own opinions, is a direct result of egocentric bias. [14] A well known example of false-consensus effect is a study published by Ross, Greene and House in 1977. [15] Students are asked to walk around a campus with a sandwich board that bearing the word "repent".
Abilene paradox – False consensus due to communication failure; Affective forecasting – Predicting someone's future emotions (affect) Anecdotal evidence – Evidence relying on personal testimony; Attribution (psychology) – Process by which individuals explain causes of behavior and events
It leads to a diversity of solutions within a group, especially in complex problems, by preventing premature consensus on suboptimal solutions. This example demonstrates how a cognitive bias, typically seen as a hindrance, can enhance collective decision-making by encouraging a wider exploration of possibilities.
The results indicated that the subjects failed to recognize that their peer's construal or interpretation of the situation may be quite different from the perspective they personally take. (see also false consensus effect) In 2004, Lee D. Ross developed a theory of a type of construal that he calls "naïve realism." In a simple experiment, Ross ...
Gen Zers, 72% of whom said they had self-silenced in the past year, might be influenced by their heavy use of social media, which "makes it very easy to manufacture false consensus," Rose argues.
These include the false consensus effect, actor–observer bias, bias blind spot, and fundamental attribution error, among others. The term, as it is used in psychology today, was coined by social psychologist Lee Ross and his colleagues in the 1990s.
Trump said he’s heard that the number of autism cases has dramatically increased from more than one in 100,000 about 30 years ago to “one in 100” now.