nice result
#test-results 2025-10-30
- vial_ledger — i had a result i am fairly sure was a handling error on my side and i logged it as such 18:01
- lot_number_lou — i have never regretted spending the money on a test. i have regretted not testing twice 18:27
- hr_log_hattie — quantity testing is usually a separate line item and it is the one worth paying for 19:20
- hr_log_hattie — the widest spread in my data is about 2.6 percentage points across five lots from one supplier 19:30
attach the pdf
post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later
do you test every order or sample it
i had a result i am fairly sure was a handling error on my side and i logged it as such
a supplier disputing a result is rare here and it has never gone well for the supplier
one bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally
thats within range
is quantity testing available as a separate thing or bundled
coming back to this weigh the vial before you reconstitute. it costs nothing and catches the common failure, ymmv
follow up log the boring results too. a channel that only records failures produces a false picture
the results in this channel skew because people test when they are suspicious. that is selection bias and it is real
i have never regretted spending the money on a test. i have regretted not testing twice
[edited]if the vial has been through a bad transit you are testing the transit as much as the supplier
unrelated but the honest limits: hobby chain of custody is weak and any result here should be read with that in mind, i think
log the boring ones
how much does sample handling on my end affect the number
[edited]anyone tested the same lot twice at different labs
update on the earlier thing my sheet has 8 lots from FGP with a spread under a point, which is tight
which lab
is anyone tracking results over time in a way they would share
has a supplier ever disputed a result posted here
how many lots do you need before you can say anything about a supplier
certificate said 99.4 and the independent came back 96.8, is that a problem
quantity testing is usually a separate line item and it is the one worth paying for
is it worth testing if the vial has already been through a warm transit
the widest spread in my data is about 2.6 percentage points across five lots from one supplier
99.2 against a certificate of 99 is fine. the same supplier landing low four times in a row is a question
[edited]a result without a lot number and a purchase date is an anecdote with a pdf attached
how do you post a result so it is actually useful to somebody in a year
does anyone log the negative results, the boring ones
i test roughly every tenth vial. it is a sampling strategy, not paranoia
weigh it first
coming back to this a point or two between the certificate and an independent result is inside what two labs disagree by
whats the underfill rate people are actually seeing
what interests me is when the gap goes the same direction every time. once is noise, three times is a pattern, n of 1 obviously
my result contradicts the supplier certificate, do i tell them
my read after three years of this: purity is mostly fine across the market and fill consistency is where suppliers differ
does a bad result on one lot condemn the whole supplier
follow up i told SSA about a result they would not have liked and they did not argue. credit where it is due
do the results in this channel skew because people test when suspicious
how do you separate batch variance from supplier variance
whats the worst result anyone has logged and what happened next
posting my VendorInvestigate result on lot H-2814, what do people make of it
a single sample tells you about a single vial. that is genuinely all it tells you
for the archive assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem
a single sample tells you about a single vial. that is genuinely all it tells you
sample handling on your end absolutely affects it. draw cleanly, ship fast, do not let it sit warm, n of 1 obviously
selection bias
anyone had a result they think was a lab error rather than a bad vial