Search results
Results From The WOW.Com Content Network
The overconfidence effect is a well-established bias in which a person's subjective confidence in their judgments is reliably greater than the objective accuracy of those judgments, especially when confidence is relatively high. [1] [2] Overconfidence is one example of a miscalibration of subjective probabilities.
Hindsight bias may lead to overconfidence and malpractice in regards to physicians. Hindsight bias and overconfidence is often attributed to the number of years of experience the physician has. After a procedure, physicians may have a "knew it the whole time" attitude, when in reality they may not have known it.
Victory disease occurs in military history when complacency or arrogance, brought on by a victory or a series of victories, makes an engagement end disastrously for a commander and his forces. [1] A commander may disdain the enemy, and believe his own invincibility, leading his troops to disaster.
Overconfidence is a very serious problem, but you probably think it doesn't affect you. That's the tricky thing with overconfidence: The people who are most overconfident are the ones least likely ...
Joe Biden is being praised as a statesman for withdrawing from the presidential race even though it was clear to most Americans and to savvy members of his own party that he could not go on.
Hubris (/ ˈ h juː b r ɪ s /; from Ancient Greek ὕβρις (húbris) 'pride, insolence, outrage'), or less frequently hybris (/ ˈ h aɪ b r ɪ s /), [1] describes a personality quality of extreme or excessive pride [2] or dangerous overconfidence and complacency, [3] often in combination with (or synonymous with) arrogance. [4]
Trust: belief that someone or something is reliable, good, honest, effective, etc.
They argued that "the hard-easy effect has been interpreted with insufficient attention to the scale-end effects, the linear dependency, and the regression effects in data, and that the continued adherence to the idea of a 'cognitive overconfidence bias' is mediated by selective attention to particular data sets".