The Data Trap
Private lending has entered an era where information abundance creates both strategic advantage and ethical instability. Lenders today can access traditional public records, aggregated datasets, scraped online content, behavioral indicators, predictive risk models, and vendor-generated borrower profiles whose sourcing and methodologies are rarely disclosed. The distinction between verified fact, probabilistic inference, and speculative noise has [...]


