What is garbage in garbage out in computer?

GIGO is an abbreviation for garbage in, garbage out. The concept of GIGO (garbage in, garbage out) is found in both mathematics and computer science. In general, a system's output quality cannot be higher than its input quality. GIGO means that if the data entered into a computer is bad/wrong, the results will also be bad/wrong. Even if the computer is properly programmed and the software works as intended, giving it false data will return false results.
What is garbage in garbage out in computer
The concept of garbage in, garbage out is used in almost every device or machine. The concept relates not only to machines but also to our real lives. If you put garbage inside a machine or device, garbage will come out. For example, if I put garbage in a washing machine, then the output will be the garbage. On the other hand, if you give the washing machine dirty clothes, detergent powder, and water, the machine will process them, and then it will give you clean clothes. So if you put garbage inside, then you will get garbage outside.

What is garbage in garbage out in computer?

A computer's accuracy is always high. Every calculation is made with the same accuracy by a computer. However, errors can occur on a computer. These errors are primarily caused by human error rather than technical shortcomings. A coder may input incorrect information or think incorrectly, resulting in errors. For example, if you input the wrong information on a computer, you will get the wrong output. These errors in computers are often called "garbage in, garbage out."

If you input the wrong data into a computer it will give you the wrong output. However, if you enter or correct data into a computer, the computer will also produce correct results.

Computers are excellent at doing what you tell them to do, but if you give them garbage, you won't receive much valuable data back. No matter how strong your mathematical ability is, if you are working with inaccurate or incorrect data or information, you are unlikely to get good outcomes.

Therefore, to avoid that, you must input the correct data in order to obtain the proper outcome.

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