what interests me is when the gap goes the same direction every time. once is noise, three times is a pattern, ill dig out the number
sample handling on your end absolutely affects it. draw cleanly, ship fast, do not let it sit warm
#test-results 2026-03-15
Sunday15 messages4 participantstimes are UTC
Highlights from this day
- monoisotopic — what interests me is when the gap goes the same direction every time. once is noise, three times is a pattern, ill dig out the number sample handling on your end… 21:38
- monoisotopic — post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later 21:59
- monoisotopic — update on the earlier thing my read after three years of this: purity is mostly fine across the market and fill consistency is where suppliers differ 22:01
- underfill_uma — how do you post a result so it is actually useful to somebody in a year 22:31
- juno_joins — the results in this channel skew because people test when they are suspicious. that is selection bias and it is real, n of 1 obviously 22:52
selection bias
a result without a lot number and a purchase date is an anecdote with a pdf attached
post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later
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log the lot number
transit-times.csv
332 rows · not retained in the public archive
update on the earlier thing my read after three years of this: purity is mostly fine across the market and fill consistency is where suppliers differ
quantity testing is usually a separate line item and it is the one worth paying for
weigh it first
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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
how do you post a result so it is actually useful to somebody in a year
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the results in this channel skew because people test when they are suspicious. that is selection bias and it is real, n of 1 obviously
has a supplier ever disputed a result posted here
how do you separate batch variance from supplier variance