How friction in identity verification halts massive social programs The technical headline coming out of India’s PM-Kisan scheme isn’t about a failure of Aadhaar’s database or a breach in biometric security. It’s about a failure of enrollment and workflow completion. When nine crore farmers are blocked from receiving payments because of incomplete e-KYC, we aren't looking at an algorithmic error; we are looking at a system-wide failure of the "last mile" in identity technology. For developers working in computer vision and biometrics, this is a massive case study in why accuracy metrics like F1 scores and AUC-ROC are insufficient on their own. If your identity verification (IDV) pipeline has 99.9% matching accuracy but a 40% abandonment rate due to UI friction or strict Euclidean distance thresholds that fail in low-light rural environments, your system is technically a failure in production. The Algorithm vs. The Workflow In the world of facial comparison, we often obsess over the math.…