Show the evidence. Name the limits.
CortiLoop uses wearable signals to discuss patterns—not to manufacture a hormone value. This page explains the standards we apply to product claims, interpretations and educational content.
Our evidence hierarchy
1. Measured
Signals supplied by a device or health platform, including their timestamp, source and freshness.
2. Reported
Context a person intentionally shares, kept distinct from sensor-derived data.
3. Inferred
Patterns or possible explanations produced from available evidence and labeled with uncertainty.
4. Unknown
The required answer when evidence is missing, inconsistent or insufficiently specific.
Claims we do not make
Consumer wearables do not directly measure blood or saliva cortisol. CortiLoop does not claim to diagnose stress disorders, adrenal conditions, sleep disorders or any other disease. It does not treat illness or promise that an action will lower cortisol.
How interpretations should earn confidence
- Enough recent and comparable observations must exist.
- Changes should be evaluated against the person’s own baseline.
- Multiple relevant signals are stronger than a single reading.
- Alternative explanations and missing context should remain visible.
- Confidence should fall when device, timing or data quality changes.
Editorial standard
Educational pages are written for general wellness understanding, link to the strongest practical sources available and identify when clinical review has not yet occurred. Material corrections should change the page’s updated date. We do not change dates merely to make content appear fresh.
Core references
- U.S. FDA: General Wellness—Policy for Low Risk Devices (January 2026).
- U.S. FTC: Health Products Compliance Guidance.
- NCBI Bookshelf: Physiology, Cortisol.
- Keeping Pace with Wearables: an umbrella review of consumer wearable accuracy.
- Wearable technologies for health research: opportunities and limitations.
- Heart rate variability measurement through smart wearable devices.