Fraud Investigation is Believing Your Lying Eyes
Summary
This long-form essay analyzes a Minnesota childcare fraud investigation and uses it to illustrate how fraud signals, data analysis, and machine learning can improve detection. It argues for pragmatic, signal-driven defenses over pay-and-chase approaches, discusses the lifecycle of fraud, and emphasizes transparency, risk assessment, and cross-industry learning.