a point or two between the certificate and an independent result is inside what two labs disagree by
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#test-results 2025-02-24
Monday20 messages6 participantstimes are UTC
Highlights from this day
- dublin_dose — a point or two between the certificate and an independent result is inside what two labs disagree by 18:55
- reship_rita — weigh the vial before you reconstitute. it costs nothing and catches the common failure underfill is more common than impurity. if you only test purity you are… 19:20
- fibre_first — assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem 20:20
- fibre_first — post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later 21:21
- dublin_dose — right so whats the underfill rate people are actually seeing 21:24
quantity testing is usually a separate line item and it is the one worth paying for
is a purity-only test worth the money if underfill is the common failure
weigh it first
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weigh the vial before you reconstitute. it costs nothing and catches the common failure
underfill is more common than impurity. if you only test purity you are testing the less likely failure
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posting my Janoshik result on lot C-4402, what do people make of it
ok so one bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally
if the vial has been through a bad transit you are testing the transit as much as the supplier
what interests me is when the gap goes the same direction every time. once is noise, three times is a pattern
the honest limits: hobby chain of custody is weak and any result here should be read with that in mind
the results in this channel skew because people test when they are suspicious. that is selection bias and it is real
assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem
attach the pdf
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one data point
thats within range
coming back to this the widest spread in my data is about 2.6 percentage points across five lots from one supplier
how do you separate batch variance from supplier variance
post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later
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log the boring results too. a channel that only records failures produces a false picture
[edited]right so whats the underfill rate people are actually seeing
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