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Antonyms are words with opposite or nearly opposite meanings. For example: hot ↔ cold, large ↔ small, thick ↔ thin, synonym ↔ antonym; Hypernyms and hyponyms are words that refer to, respectively, a general category and a specific instance of that category. For example, vehicle is a hypernym of car, and car is a hyponym of vehicle.
The term antonym (and the related antonymy) is commonly taken to be synonymous with opposite, but antonym also has other more restricted meanings. Graded (or gradable) antonyms are word pairs whose meanings are opposite and which lie on a continuous spectrum (hot, cold).
Time-saving bias is a concept that describes people's tendency to misestimate the time that could be saved (or lost) when increasing (or decreasing) speed. [1] [2]In general, people underestimate the time that could be saved when increasing from a relatively low speed—e.g., 25 mph (40 km/h) or 40 mph (64 km/h)—and overestimate the time that could be saved when increasing from a relatively ...
Some pairs of contronyms are true homographs, i.e., distinct words with different etymologies which happen to have the same form. [7] For instance cleave "separate" is from Old English clēofan, while cleave "adhere" is from Old English clifian, which was pronounced differently.
While the indirect comparison method is used less often it is more informative in terms of whether participants have overestimated themselves or underestimated the average peer, and can therefore provide more information about the nature of illusory superiority. [45]
Drawing up a comprehensive list of words in English is important as a reference when learning a language as it will show the equivalent words you need to learn in the other language to achieve fluency.
In statistics, omitted-variable bias (OVB) occurs when a statistical model leaves out one or more relevant variables.The bias results in the model attributing the effect of the missing variables to those that were included.
Roy Charles Amara (7 April 1925 [1] – 31 December 2007 [2]) was an American researcher, scientist, futurist [3] and president of the Institute for the Future best known for coining Amara's law on the effect of technology.