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METHODOLOGY / DATA

Data Baselines

Last updated: 2026-03-28

1. Purpose

THE PROTOCOL rates longevity interventions — supplements, protocols, devices, and practices — using a structured, evidence-based framework. This page explains how we gather data, evaluate evidence, assess risk, and arrive at ratings. Transparency in methodology is non-negotiable.

2. The Evidence × Risk × Cost Framework

Every protocol rating is built on three independent axes:

2.1 Evidence Quality

We grade evidence on a five-tier hierarchy. Higher tiers carry more weight in rating calculations:

Tier Source Type Weight
T1 Meta-analyses, systematic reviews of RCTs Highest
T2 Randomized controlled trials (RCTs) High
T3 Cohort studies, observational data Moderate
T4 Case studies, animal models, in vitro Low
T5 Expert opinion, traditional use, mechanistic plausibility Minimal

We note study size, duration, population demographics, and funding sources. Industry-funded studies are flagged but not automatically discounted — we assess methodology independently.

2.2 Risk Profile

Risk assessment considers:

  • Known side effects and their severity/frequency
  • Drug interactions and contraindications
  • Long-term safety data availability (or lack thereof)
  • Regulatory status (approved, generally recognized as safe, unregulated)
  • Dose-response curve — therapeutic window vs. toxicity threshold

2.3 Cost Efficiency

We evaluate cost per unit of expected benefit. A $5/month supplement with solid T2 evidence outranks a $200/month protocol backed only by mechanistic reasoning. Cost analysis includes:

  • Direct cost (purchase price at typical dosing)
  • Required testing/monitoring costs
  • Opportunity cost vs. alternative interventions
  • Availability and supply chain reliability

3. Source Selection

We pull data from:

  • PubMed / MEDLINE for peer-reviewed research
  • Cochrane Library for systematic reviews
  • ClinicalTrials.gov for ongoing and completed trials
  • FDA, EMA, and TGA regulatory databases
  • Examine.com and similar evidence aggregators (as secondary references)
  • Preprint servers (bioRxiv, medRxiv) — flagged as unreviewed

We do not use manufacturer claims, influencer testimonials, or single-source promotional material as evidence inputs.

4. Rating Scale

Protocols receive a composite rating that synthesizes evidence quality, risk profile, and cost efficiency. The scale is intentionally simple:

Rating Interpretation
STRONG Robust evidence, favorable risk profile, reasonable cost. High confidence recommendation.
MODERATE Meaningful evidence with some gaps. Benefits likely outweigh risks for most people.
EMERGING Promising early data. Worth watching. Not enough evidence for a confident recommendation.
INSUFFICIENT Claims exceed evidence. May have potential but data is too thin to rate meaningfully.
AVOID Risk outweighs demonstrated benefit. Evidence contradicts common claims, or safety concerns are material.

5. Update Frequency

Ratings are reviewed when significant new evidence is published — typically when a new meta-analysis, large RCT, or safety signal emerges. We do not update on a fixed schedule. Each rating page shows its last review date and a changelog of material revisions.

6. Conflict of Interest Policy

THE PROTOCOL may use affiliate links to supplement retailers. Affiliate relationships never influence ratings. A protocol rated "AVOID" will carry that rating regardless of whether we have an affiliate relationship with its manufacturer. We disclose all material conflicts at the point of recommendation.

7. Limitations

Our methodology has inherent limitations:

  • We rely on published research, which has its own publication bias
  • Individual responses to interventions vary based on genetics, health status, and context
  • Cost data reflects typical US/EU pricing and may not apply globally
  • Evidence quality in longevity science is generally lower than in acute medicine — long-term human RCTs are rare and expensive
  • We apply editorial judgment in synthesizing evidence — reasonable people may weigh the same data differently

8. Methodology Feedback

We welcome scrutiny of our methodology. If you believe a rating misrepresents the evidence, cite the specific studies and we will review. Contact information is provided on the Site.

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