A "False Negative" occurs when a test or assessment incorrectly indicates that a condition or characteristic is absent when it is actually present. For example, in medical testing, a blood test might show negative results for a disease, leading to the mistaken belief that the patient does not have it, even though they do. This type of error can have significant consequences, as it may delay necessary treatment or interventions. In fields like software testing or security screening, false negatives can also lead to undetected issues or threats, highlighting the importance of accurate testing methods and protocols.