Evidence should become more useful without becoming less true.
The P4L Evidence and Trust Standard guides claims, uncertainty, disclosure, AI use, source currency, and decision-oriented communications.
Truth before promotion. Evidence proportionality. Uncertainty visible. Humans accountable.
Why this standard exists
Healthspan and prevention innovation can move faster than shared language, trust, and institutional pathways. P4L uses this standard to guide how evidence is represented, uncertainty disclosed, relationships identified, AI used, records kept current, and impact measured.
Twelve commitments
- Truth before promotion.
- Evidence proportionality.
- Review express and implied public meaning.
- Do not translate preclinical or mechanistic evidence into unproven human benefit.
- Distinguish biomarkers from meaningful functional and clinical outcomes.
- Keep material uncertainty visible.
- Match claims to the population and conditions studied.
- State regulatory, trial, peer-review, and investigational status accurately.
- Disclose relevant interests.
- Keep humans accountable for AI-assisted work.
- Keep public records current and source-supported.
- Measure decisions, adoption, and public value—not publicity volume alone.
Evidence labels
Capability maturity definitions
These labels describe P4L capability maturity only. They do not replace evidence, policy, regulatory, claim, or program statuses.
Publicly accessible and functioning within the stated boundary.
Publicly accessible for bounded learning; not validated or committed as a mature recurring service.
Under active development or staged; not represented as a public functioning capability.
Intended future capability without a current public implementation.
A living standard
The standard evolves with evidence, communications practice, AI capability, and implementation learning while keeping its core commitments intact.