sorry to jump in i told CPC about a result they would not have liked and they did not argue. credit where it is due
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#test-results 2025-04-02
Wednesday19 messages6 participantstimes are UTC
Highlights from this day
- ten_of_ten — sorry to jump in i told CPC about a result they would not have liked and they did not argue. credit where it is due 23:12
- related_subs — anyone had a result they think was a lab error rather than a bad vial 23:19
- related_subs — 98.1 against a certificate of 97.4 is fine. the same supplier landing low four times in a row is a question 23:25
- ms_ms_mira — has a supplier ever disputed a result posted here a supplier disputing a result is rare here and it has never gone well for the supplier 23:31
- area_percent — a result without a lot number and a purchase date is an anecdote with a pdf attached 23:38
if the vial has been through a bad transit you are testing the transit as much as the supplier
nice result
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the widest spread in my data is about 2.6 percentage points across five lots from one supplier
anyone had a result they think was a lab error rather than a bad vial
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how many lots do you need before you can say anything about a supplier
do you test every order or sample it
98.1 against a certificate of 97.4 is fine. the same supplier landing low four times in a row is a question
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Testing queue: 9 submissions open, 53 awaiting dispatch.
has a supplier ever disputed a result posted here
a supplier disputing a result is rare here and it has never gone well for the supplier
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thats a fill problem
thats within range
a result without a lot number and a purchase date is an anecdote with a pdf attached
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one data point
the results in this channel skew because people test when they are suspicious. that is selection bias and it is real
slightly off topic but i test roughly every tenth vial. it is a sampling strategy, not paranoia, take that with a pinch of salt
how do you separate batch variance from supplier variance
selection bias
my result contradicts the supplier certificate, do i tell them