The tendency to conclude that a person who likes to read poetry is more likely to be a college professor of classics than a truck driver illustrates the use of the representativeness heuristic.
When estimating the likelihood of an event under uncertainty, the representativeness heuristic is applied. Amos Tversky and Daniel Kahneman, psychologists, described it as "the degree to which I am similar in essential characteristics to its parent population, and (ii) reflects the salient features of the process by which it is generated" in their early 1970s proposal of a group of heuristics (simple rules governing judgment or decision-making). "
Judicial shortcuts that normally get us where we need to go - and quickly - but at the risk of occasionally driving us off course" is how heuristics are defined. Because they reduce effort and simplify decision-making, heuristics are helpful.
Learn more about the representativeness heuristic here:
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