A false positive in A/B testing refers to a misleading result that occurs when a variation in a test group appears to have a significant impact on the outcome, but in reality, it is due to chance or external factors. This can lead to incorrect conclusions being drawn and decisions being made based on inaccurate data. It is important to carefully analyze and validate A/B test results to avoid false positives and ensure accurate and reliable insights.