vialroom

#test-results 2026-04-29

Wednesday47 messages12 participantstimes are UTC
Highlights from this day
  • split_shipment — log the boring results too. a channel that only records failures produces a false picture 21:13
  • turnaround_tam — anyone had a result they think was a lab error rather than a bad vial 21:36
  • evidence_or_not — the widest spread in my data is about 2.6 percentage points across five lots from one supplier 22:23

weigh it first

📈1

whats the lot

FF

thats not great

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FF

i told GL Biochem about a result they would not have liked and they did not argue. credit where it is due

a result without a lot number and a purchase date is an anecdote with a pdf attached

AP

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

my sheet has 2 lots from SWB with a spread under a point, which is tight

right so i have never regretted spending the money on a test. i have regretted not testing twice

VB

Inter-lab diff for lot A-2418: 99.4% vs 99%. Within expected range.

SS

log the boring results too. a channel that only records failures produces a false picture

💀9🧪1👍8
VL

assay under label with good purity means you got less of the right thing. that is a fill problem, not a synthesis problem

SS

the honest limits: hobby chain of custody is weak and any result here should be read with that in mind, n of 1 obviously

i had a result i am fairly sure was a handling error on my side and i logged it as such

anyone had a result they think was a lab error rather than a bad vial

🎉10💀17

if the vial has been through a bad transit you are testing the transit as much as the supplier

AA

is quantity testing available as a separate thing or bundled
one bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally

a point or two between the certificate and an independent result is inside what two labs disagree by

post the lot, the purchase month, the lab, the number, and what you were expecting. that makes it useful later

EO

the widest spread in my data is about 2.6 percentage points across five lots from one supplier

🤝1👍17

one data point

VL

underfill is more common than impurity. if you only test purity you are testing the less likely failure

SB

my read after three years of this: purity is mostly fine across the market and fill consistency is where suppliers differ

VL

one bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally

SB

97.4 against a certificate of 99 is fine. the same supplier landing low four times in a row is a question

EO

sample handling on your end absolutely affects it. draw cleanly, ship fast, do not let it sit warm

quantity testing is usually a separate line item and it is the one worth paying for

does a bad result on one lot condemn the whole supplier

FF

is anyone tracking results over time in a way they would share

EO

a supplier disputing a result is rare here and it has never gone well for the supplier