Hofstadter’s law
is that the observation that “It perpetually takes longer than you expect, even once you take into consideration Hofstadter's Law.” In different words, time estimates for a way long something can fancy accomplish perpetually disappoint of the particular time needed -- even once the time allotment is inflated to complete the human tendency to underestimate it. The non-specificity of the reference (it) reflects that the law is generally applicable in any scenario wherever the task is complicated. Hofstadter’s law is usually elicited in IT contexts and is especially relevant to time management, productivity, project management and package development.
Douglas Hofstadter, a scientist and author, introduced the law in his 1979 book Gödel, Escher, Bach: never-ending Golden Braid. The system underneath discussion was chess-playing computers, that had been expected to beat humans inside ten years. However, 10 years afterward prediction, humans were still winning. Hoftstadter wrote that the inablility for machines to triumph by that point was "just an additional piece of proof for the rather algorithmic Hofstadter's Law." (In fact, it wasn’t till 1996 that IBM’s Deep Blue laptop beat the regnant world champion Garry chess master.)
Hofstadter’s law illustrates one component of optimism bias, that leads folks to overestimate the advantages of some planned system and underestimate the drawbacks, likewise because the time needed for completion. It’s conjointly closely associated with the ninety-ninety rule planned by Tom Cargill of Bell Labs: the primary ninety p.c of the code accounts for the primary ninety p.c of the event time. The remaining ten p.c of the code accounts for the opposite ninety p.c of the event time.
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