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Evidence-First Supplement Prioritization

Unfair Team • February 5, 2026

Evidence first prioritization keeps your stack focused on compounds with a clear signal in human data.

Why it matters

When every product claims dramatic gains, ranking by study quality is the fastest way to cut noise. Start with outcomes that matter to your goal, then weigh replication, effect size, risk profile, and practical dose range. Cost and convenience matter after the data clears a basic threshold.

How to apply it

Create three tiers for every candidate: strong data, mixed data, and weak data. Build stacks from tier one first, then test tier two only if a gap remains. Remove any item that shows no benefit after a fair trial period.

In Unfair

Unfair stores recommendation rationale and response history so you can compare claims against personal outcomes. That allows a strict evidence process without extra spreadsheets.

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