thats not great
#test-results 2025-09-29
- batch_bandit — a point or two between the certificate and an independent result is inside what two labs disagree by 15:21
- batch_bandit — a single sample tells you about a single vial. that is genuinely all it tells you 15:56
- batch_bandit — underfill is more common than impurity. if you only test purity you are testing the less likely failure 15:57
- no_appetite_nia — i test roughly every tenth vial. it is a sampling strategy, not paranoia 16:15
what interests me is when the gap goes the same direction every time. once is noise, three times is a pattern
Inter-lab diff for lot E-2205: 99.4% vs 99.2%. Within expected range.
attach the pdf
post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later
a point or two between the certificate and an independent result is inside what two labs disagree by
lot bought purity assay/label
A-2418 2025-03 99.1% 9.6 / 10mg
A-2601 2025-08 98.7% 9.8 / 10mg
B-0114 2026-01 99.3% 9.4 / 10mg
B-0329 2026-04 98.9% 9.9 / 10mgweigh it first
update from 16 months ago: retested the same supplier, result came back better, logged both
assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem
sample handling on your end absolutely affects it. draw cleanly, ship fast, do not let it sit warm
a single sample tells you about a single vial. that is genuinely all it tells you
underfill is more common than impurity. if you only test purity you are testing the less likely failure
log the lot number
log the boring ones
[edited]how do you separate batch variance from supplier variance
i told HJ about a result they would not have liked and they did not argue. credit where it is due
if the vial has been through a bad transit you are testing the transit as much as the supplier
slightly off topic but is quantity testing available as a separate thing or bundled
whats the lot
i test roughly every tenth vial. it is a sampling strategy, not paranoia
thats within range
test it again
ok so if the vial has been through a bad transit you are testing the transit as much as the supplier
quantity testing is usually a separate line item and it is the one worth paying for
*VendorInvestigate not the other one
my read after three years of this: purity is mostly fine across the market and fill consistency is where suppliers differ
98.6 against a certificate of 99.2 is fine. the same supplier landing low four times in a row is a question
nice result
[edited]how much does sample handling on my end affect the number
is a purity-only test worth the money if underfill is the common failure
selection bias
which lab
my sheet has 3 lots from FGP with a spread under a point, which is tight
i have never regretted spending the money on a test. i have regretted not testing twice
a supplier disputing a result is rare here and it has never gone well for the supplier
one data point
if you are testing to settle an argument you will not settle it with n of 1
if you are testing to settle an argument you will not settle it with n of 1
a result without a lot number and a purchase date is an anecdote with a pdf attached
i had a result i am fairly sure was a handling error on my side and i logged it as such
[edited]coming back after 11 months with a follow up result, where do i put it
anyone had a result they think was a lab error rather than a bad vial
one bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally