Medical knowledge lives in 2025.
Its verification lives in 1925.
The evidence base has been public and indexed for decades — trials in PubMed, guidelines from WHO and ESC, meta-analyses in Cochrane. The pipeline connecting it to the claims people actually read wasn't. Health Trust Score is that pipeline — every claim traced to its primary sources, in public, in real time.
01Scored accounts
Accounts are pre-analyzed offline and cached here. Click a row for the per-claim breakdown, audit links, and evidence citations.
02What the score captures
Six components sum to a 100-point per-claim score. Claim scores aggregate into an account score via severity, reach, and recency weights — then two hard caps catch the worst failure modes.
- Evidence alignment. Does the strength of the post match the strength of the evidence card?
- Scoping quality. Does the post specify population, intervention, outcome — or generalize?
- Uncertainty discipline. Does the post use absolute language where evidence is weak?
- Counterevidence behavior. Does the post acknowledge conflicting evidence, or ignore it?
- Commercial integrity. Does the post sell the exact intervention being advocated?
- Safety discipline. Does the post flag risks proportional to the intervention?
03Thesis
The bottleneck in medical verification was never the evidence — it was the labor of reading, mapping, and cross-checking it. That labor has collapsed. What we measure here isn't whether someone is right; it's whether their public confidence, scope, and commercial posture match what the evidence actually supports.
04Auditability
Every claim score links to the live post on X and a web.archive.org
snapshot. Every evidence card cites guidelines, Cochrane reviews, or
landmark trials — with type, url, and label.
If a card's grade or scope is wrong, the fix is visible in the evidence
corpus — not hidden in a model prompt.
05How to read the rest of the site
- Truth Hierarchy — H1–H5 evidence ladder, with worked examples.
- Algorithm — the six-component, 100-point claim score and how it aggregates.
- Hierarchy — how the evidence corpus is built, source hierarchy, how to challenge a score.
- Rankings — scored accounts with full receipts + a request queue for new ones.