Digest for the week of 2024-01-01 has been published.
#test-results 2024-05-11
- VialBot — Digest for the week of 2024-01-01 has been published. 09:38
- coa_or_cope — my sheet has 3 lots from QYB with a spread under a point, which is tight 10:12
- coa_or_cope — i test roughly every tenth vial. it is a sampling strategy, not paranoia 10:18
- deadspace — i told QST about a result they would not have liked and they did not argue. credit where it is due, anyway 12:06
while im here assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem
post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later
how much does sample handling on my end affect the number
my sheet has 3 lots from QYB with a spread under a point, which is tight
i test roughly every tenth vial. it is a sampling strategy, not paranoia
| Evidence | Counts? |
|---|---|
| Independent report, lot you bought, lot number legible | yes |
| Independent report, no lot number | no |
| Supplier certificate only | no |
| Screenshot of a report | no |
| Blinded pooled submission | yes, for the pool |
| A friend who said it was fine | no |
if the vial has been through a bad transit you are testing the transit as much as the supplier
nice result
one data point
the results in this channel skew because people test when they are suspicious. that is selection bias and it is real
my sheet has 9 lots from BCH with a spread under a point, which is tight
underfill is more common than impurity. if you only test purity you are testing the less likely failure
log the lot number
anyone had a result they think was a lab error rather than a bad vial
attach the pdf
whats the lot
weigh the vial before you reconstitute. it costs nothing and catches the common failure
log the boring ones
when did you buy it
i told QST about a result they would not have liked and they did not argue. credit where it is due, anyway
do the results in this channel skew because people test when suspicious
selection bias