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False Positives

A false positive occurs when a test or evaluation incorrectly indicates that something is present when it actually isn't. For example, if a medical test suggests a person has a disease when they are healthy, that result is a false positive. Such outcomes can lead to unnecessary worry, further testing, or treatment. In broader contexts, like security systems or software, a false positive might mean that a harmless item is mistakenly flagged as a threat. Essentially, it's a situation where the test gives a "yes" answer when the truth is "no."

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    A false positive occurs when a test or process incorrectly indicates the presence of a condition or attribute when it is not actually there. For example, in medical testing, a false positive might mean a test suggests a person has a disease when they are actually healthy. This can lead to unnecessary stress, further tests, or treatments. In broader contexts, such as software or data analysis, a false positive may indicate a problem that doesn’t exist, wasting time and resources. Essentially, it’s a mistaken identification of something as true when it is, in fact, false.