When Data Lies: Why Old Models Fail in a Sensor-Driven World

This abstract explores how modern telemetry (RF emissions, device density, mobility signatures, and digital exhaust) can be misinterpreted through outdated analytical frameworks, leading to inflated confidence and distorted market valuations. The piece demonstrates how misread signals can create economic “bubbles” and outlines why organizations must adapt their analytical models to a Ubiquitous Technical Surveillance (UTS) driven data environment.

Contact: www.theutsguy.com