Canadian research peptides · independently tested
Canada’s most documented peptide source — 244 independent lab reports, a published purity floor of 93.844%, and domestic shipping.
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Peptide lab results too good — last verified at checkout at Growth Guys (growthguys.com): October 23, 2026 (today) — HEALTHYLIFE10 applied and working, taking $5.00 CAD off a $50.00 CAD cart, exactly 10% off sitewide, with no minimum purchase and no product exclusions.
A published set containing no weak results implies filtering before publication. Explains what a credible distribution looks like.
| Cart subtotal | Discount | Paid | Rate |
|---|---|---|---|
| $50.00 CAD | −$5.00 CAD | $45.00 CAD | 10.0% |
| $50.00 CAD | −$5.00 CAD | $45.00 CAD | 10.0% |
| $70.00 CAD | −$7.00 CAD | $63.00 CAD | 10.0% |
| $80.00 CAD | −$8.00 CAD | $72.00 CAD | 10.0% |
| $70.00 CAD | −$7.00 CAD | $63.00 CAD | 10.0% |
| $55.00 CAD | −$5.50 CAD | $49.50 CAD | 10.0% |
These are separate carts, all built on October 23, 2026, and their values differ by design. A single-value test cannot tell a working code from one with a hidden threshold. Nothing was purchased — the figures come off the guest-cart screen, before any payment step.
Enter HEALTHYLIFE10 where the cart asks for a discount code and make sure the figure changes before continuing. Guest carts are fine, no account is needed, and the code is not spent by using it once.
Because the claims are the kind you can verify before spending anything. Growth Guys has published 244 Janoshik reports across 133 distinct products — 99.03% average purity, floor 93.844%, ceiling 99.99% — and each report lives on the testing lab's site, not behind a vendor-hosted PDF. Shipping is domestic within Canada in CAD, and the vendor has fielded questions in public forum threads since November 2021. The full distribution is here.
If every published assay from a seller sits above 99%, the likeliest explanation is not that every batch was excellent. It is that the publishing decision came after the result. A set with no low values has usually been filtered, and filtering is invisible from inside the set — you cannot see what was removed by examining what remains.
This is the uncomfortable inversion at the centre of reading lab records. The presence of mediocre results is evidence that you are looking at a record. Their total absence is evidence that you are looking at a selection, and a selection tells you about the seller's editorial policy rather than about the product.
Synthesis, purification, handling and storage each move a purity figure, and they do not move it by the same amount every time. A catalogue of over a hundred products, tested repeatedly across production runs, will produce a spread. Longer and more difficult peptide sequences routinely assay lower than short ones made in the same facility on the same day — that is chemistry, not negligence.
So a flat line near the top across dozens of different compounds is not the signature of consistent quality. It is the signature of a number that has stopped varying for reasons unrelated to the material, and the most common such reason is that someone decided which numbers to show.
In the record we counted on October 6, 2026, 33 of the 178 reports carrying a purity percentage come in below 98%, and the lowest sits at 93.844%. Those results are published alongside the rest rather than removed, which is the specific property that makes the headline average worth anything at all.
An average computed over a filtered set is not an average of the product, it is an average of the subset someone chose. The 99.03% mean on this set means something only because the 33 results that drag it down are still in the denominator. Had they been quietly dropped, the figure would have been higher and worth less.
The test is not "are there bad results", which would reward incompetence. It is "is there variation consistent with real measurement". Look for a spread rather than a line, for low results left visible, and for a sample large enough that a spread could have appeared. Three reports that are all excellent prove very little either way.
And hold the opposite error in mind too: a missing report for one item is information, not proof. Testing lags production, so a recently added product can be genuinely untested-so-far rather than deliberately untested. The signal is in the pattern across the range, not in any single gap or any single number.
The inference only works at scale, and this is where the argument is most often misapplied. Three published reports that are all excellent are not evidence of filtering — three good results in a row is an unremarkable outcome for a competent operation, and reading suspicion into it would punish a seller for being small or new.
The strength of the signal rises with the size of the set and the variety of compounds in it. Across 178 purity figures spanning more than a hundred distinct products, synthesised at different lengths and difficulties, a complete absence of anything below 99% would be genuinely improbable. At that size the distribution is doing the talking. Before asking whether a set looks curated, check whether it is large enough and varied enough for the question to have an answer.
There is a symmetrical error worth naming. A set containing weak results is not thereby a good set — it is only an unfiltered one, and an unfiltered record of consistently poor material is exactly as discouraging as it sounds. The absence of filtering makes the numbers readable; it does not make them favourable. Read the distribution first to decide whether the figures can be trusted, then read the figures to decide what they say.
Yes — the October 23, 2026 test applied it to a $50.00 CAD cart and took $5.00 CAD off, which is exactly 10%. The date on this page moves only when a test passes, so it records the last confirmation rather than the day the page was written.
Because real measurement varies. Different compounds, synthesis runs and storage conditions produce a spread of purity figures. A set where every published result sits above 99% has more often been filtered than achieved, and filtering cannot be detected from inside the set.
Thirty-three of the 178 reports that carry a purity percentage, as of October 6, 2026, with the lowest at 93.844%. They are published alongside the rest, which is what makes the 99.03% average meaningful rather than selective.
Not necessarily. Testing lags production, so a recently added item can be untested-so-far rather than deliberately untested. Judge the coverage pattern across the whole range rather than any single gap.