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What is Garbage in Garbage Out?

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What is Garbage in Garbage Out?

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Garbage In Garbage Out or GIGO is popular computing slang for “if you input the wrong data, the results will also be wrong.†The term arose in the programming community, where instructors remind students that they must check and re-check their data and coding to ensure that the results are valid, as computers will happily process wrong information and return a result. The term is also used in other industries, most notably in the recording industry, where people stress the need for good equipment, pointing out that a poor initial recording will result in an album of low quality. George Fuechsel, and early IBM programmer, is generally credited with coining the term. He reminded students that computers will process any kind of information they are given without judgment or an eye for accuracy, and if a small mistake is made, it can result in Garbage In Garbage Out, creating a false result. As long as people are aware of the fallibility of computers, Garbage In Garbage Out isn’t a huge

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Garbage In Garbage Out or GIGO is popular computing slang for “if you input the wrong data, the results will also be wrong.” The term arose in the programming community, where instructors remind students that they must check and re-check their data and coding to ensure that the results are valid, as computers will happily process wrong information and return a result. The term is also used in other industries, most notably in the recording industry, where people stress the need for good equipment, pointing out that a poor initial recording will result in an album of low quality. George Fuechsel, and early IBM programmer, is generally credited with coining the term. He reminded students that computers will process any kind of information they are given without judgment or an eye for accuracy, and if a small mistake is made, it can result in Garbage In Garbage Out, creating a false result. As long as people are aware of the fallibility of computers, Garbage In Garbage Out isn’t a huge is

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