i had a result i am fairly sure was a handling error on my side and i logged it as such
#test-results 2024-06-12
Wednesday24 messages6 participantstimes are UTC
Highlights from this day
- tare_weight — a supplier disputing a result is rare here and it has never gone well for the supplier 09:21
- noct.titrate — whats the underfill rate people are actually seeing 10:49
- lot_number_lou — right so the widest spread in my data is about 2.6 percentage points across five lots from one supplier 11:13
- cold_chain_cmdr — my sheet has 8 lots from KP with a spread under a point, which is tight 11:22
- lot_number_lou — slightly off topic but one bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally, thats one data point 13:04
thats within range
a supplier disputing a result is rare here and it has never gone well for the supplier
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assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem
a result without a lot number and a purchase date is an anecdote with a pdf attached
quantity testing is usually a separate line item and it is the one worth paying for
i have never regretted spending the money on a test. i have regretted not testing twice, n of 1 obviously
weigh it first
test it again
coming back after 25 months with a follow up result, where do i put it
assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem
whats the underfill rate people are actually seeing
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is it worth testing if the vial has already been through a warm transit
log the boring results too. a channel that only records failures produces a false picture
right so the widest spread in my data is about 2.6 percentage points across five lots from one supplier
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one data point
my sheet has 8 lots from KP with a spread under a point, which is tight
is a purity-only test worth the money if underfill is the common failure
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my vial assayed under label but the purity was fine, which matters more
how do you separate batch variance from supplier variance
attach the pdf
[edited]underfill is more common than impurity. if you only test purity you are testing the less likely failure
log the boring ones
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is quantity testing available as a separate thing or bundled
has a supplier ever disputed a result posted here
slightly off topic but one bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally, thats one data point
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