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Biases based on false priors include: Agent detection bias , the inclination to presume the purposeful intervention of a sentient or intelligent agent . Automation bias , the tendency to depend excessively on automated systems which can lead to erroneous automated information overriding correct decisions.
The flaw is failing to account for natural fluctuations. It is frequently a special kind of post hoc fallacy. Gambler's fallacy – the incorrect belief that separate, independent events can affect the likelihood of another random event. If a fair coin lands on heads 10 times in a row, the belief that it is "due to the number of times it had ...
All that is needed is passive input during the critical period—defined in linguistics as that period within which a child must have necessary and sufficient exposure to human language so that language acquisition occurs; without sufficient exposure to primary linguistic data, the UG does not have the necessary input for development of an ...
Barbara Saunders believes that Berlin and Kay's theory of basic color terminology contains several unspoken assumptions and significant flaws in research methodology. Included in these assumptions is an ethnocentric bias based on traditions of Western scientific and philosophical thought.
In other words, the just-world fallacy is the tendency to attribute consequences to—or expect consequences as the result of— either a universal force that restores moral balance or a universal connection between the nature of actions and their results.
A aggravate – Some have argued that this word should not be used in the sense of "to annoy" or "to oppress", but only to mean "to make worse". According to AHDI, the use of "aggravate" as "annoy" occurs in English as far back as the 17th century. In Latin, from which the word was borrowed, both meanings were used. Sixty-eight percent of AHD4's usage panel approves of its use in "It's the ...
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If human confidence had perfect calibration, judgments with 100% confidence would be correct 100% of the time, 90% confidence correct 90% of the time, and so on for the other levels of confidence. By contrast, the key finding is that confidence exceeds accuracy so long as the subject is answering hard questions about an unfamiliar topic.