The Hedge-to-Verify Ratio identifies uncertainty in reasoning models by analyzing behavioral signals within the output trace. This single-pass framework bypasses the need for expensive sampling or hidden logits. It allows practitioners to detect unreliable answers even when using proprietary APIs. The method provides a consistent signal where verbalized confidence typically fails.