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In computer science, garbage in, garbage out (GIGO) is the concept that flawed, biased or poor quality ("garbage") information or input produces a result or output of similar ("garbage") quality. The adage points to the need to improve data quality in, for example, programming. Rubbish in, rubbish out (RIRO) is an alternate wording. [1] [2] [3]
Today, game theory applies to a wide range of behavioral relations, and is now an umbrella term for the science of logical decision making in humans, animals, and computers. garbage in, garbage out (GIGO) A term used to describe the concept that flawed or nonsense input data produces nonsense output or "garbage".
"In computer science, garbage in, garbage out (GIGO) is the concept that flawed, or nonsense (garbage) input data produces nonsense output. Rubbish in, rubbish out (RIRO) is an alternate wording. " The principle applies to all logical argumentation: soundness implies validity, but validity does not imply soundness.
Other misuses include comparing apples and oranges, using the wrong average, [35] regression toward the mean, [36] and the umbrella phrase garbage in, garbage out. [37] Some statistics are simply irrelevant to an issue. [38] Certain advertising phrasing such as "[m]ore than 99 in 100," may be misinterpreted as 100%. [39]
A record 53.6 million metric tonnes (Mt) of electronic waste was generated worldwide in 2019, up 21 percent in just five years, according to the UN's Global E-waste Monitor 2020, released today. The new report also predicts global e-waste – discarded products with a battery or plug – will reach 74 Mt by 2030, almost a doubling of e-waste in ...
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Used products dumped at a scrap metal recycler. Zero waste, or waste minimization, is a set of principles focused on waste prevention that encourages redesigning resource life cycles so that all products are repurposed (i.e. "up-cycled") and/or reused.