A False Positive occurs when a test incorrectly identifies a problem that doesn’t exist. It’s a “false alarm.”
Key Aspects:
1. Test result is positive (problem detected)
2. No actual problem exists
3. Test incorrectly flags an issue
4. Can lead to unnecessary actions or concerns
Examples of False Positives:
1. Antivirus flagging safe files as malware
2. Pregnancy test showing positive for non-pregnant person
3. Fire alarm triggered by steam
4. Quality control rejecting good products
Consequences of False Positives:
1. Wasted resources investigating non-issues
2. Reduced trust in testing systems
3. Potential for ignoring real alarms
4. Unnecessary stress or actions
Reducing false positives often involves improving test specificity and refining detection algorithms.