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Need help with my writing homework on False Consensus Basic Algorithm. Write a 4500 word paper answering; Various psychologists have come up with numerous studies on the false consensus effect. In doing so, they have given several interpretations of the definition of such a concept. However, the most prevalent definition associated with the false consensus effect is that used by Mullen et al (1985): False consensus refers to an egocentric bias that occurs when people estimate consensus for their own behaviors. Specifically, the false consensus hypothesis holds that people who engage in a given behavior will estimate that behavior to be more common than it is estimated to be by people who engage in alternative behaviors. Basically, the false consensus effect is the tendency for individuals to put too much weight on their own decisions and overestimate the degree to which others agree with them.&nbsp. This happens when an individual readily guesses that his own preferences, opinions, and beliefs are more prevalent in the general public than they really are. According to the Wikipedia Encyclopedia: This bias is commonly present in a group setting where one thinks the collective opinion of their own group matches that of the larger population. Since the members of a group reach a consensus and rarely encounter those who dispute it, they tend to believe that everybody thinks the same way. (2006) Moreover, Gilovich (1990) describes the false consensus effect as, “…A tendency for people’s own habits, values, and behavioral responses to bias their estimates of the commonness of the habits, values, and actions of the general population.” The term was first coined by Ross, et al (1977). The said authors came up with an experiment wherein they asked a group of students to asked to walk around campus wearing a sandwich board saying “Repent.” They then asked those who agreed to the task for their estimate of how many other students would agree to the task as well. Also, they asked those who did not agree to complete the task how many they believe share their disagreement. The researchers found that those who agreed gave higher estimates than the actual frequency.