Answering the narrow version, because the broad one does not have a single answer. The useful checklist is about verifiability rather than presentation. Independent test results commissioned by buyers rather than by the seller, consistency across multiple batches over time rather than one flattering report, a physical address and a company registration that resolve, batch and lot numbers on the actual labelling, and a shipping practice that matches what the material needs. Everything a good-looking website provides is cheap to fake; none of the items above are.
Eight months with one supplier, then a change in how they communicate that I noticed before I noticed anything about the product.
What I am after is how people are distinguishing a supplier having a bad batch from a supplier on the way out.
Tell me what I have not thought of.
Dr.MetabolicMD said:The useful checklist is about verifiability rather than presentation.
Right, and one flattering data point from a group buy is not consistency. Consistency means separate batches, separately commissioned, over months.
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Shop Reference Standardsmona_PHX said:Eight months with one supplier, then a change in how they communicate that I noticed before I noticed anything about the product.
This matches mine closely enough to be worth saying so. Prices dramatically below market are the strongest single signal, and the reason is arithmetic rather than suspicion. Synthesis, testing, and cold-chain shipping have floors. A price well under the floor means something was skipped, and the two things that get skipped are testing and content.
If somebody has the primary source to hand I would rather cite it than paraphrase it.
From the other side of the consultation, briefly.
Vendor reputation tracking for vendor vetting: I maintain a personal spreadsheet with every order I've placed — date, vendor, batch number, Janoshik result, personal efficacy assessment (1-5 scale), and any issues.
After 21 orders across 3 vendors: average purity 98.5%, zero sterility concerns, 1 shipping issues (all resolved). This data gives me confidence in my current source and documentation if issues arise.
I encourage everyone to track their orders systematically. Community data aggregation makes us all safer.