ok so if you are testing to settle an argument you will not settle it with n of 1
#test-results 2025-10-25
- nausea_window — has a supplier ever disputed a result posted here i test roughly every tenth vial. it is a sampling strategy, not paranoia 18:13
- nausea_window — do you test every order or sample it 18:51
- nausea_window — my read after three years of this: purity is mostly fine across the market and fill consistency is where suppliers differ 18:52
- escalation_anxiety — weigh the vial before you reconstitute. it costs nothing and catches the common failure 19:06
quick one is quantity testing available as a separate thing or bundled
log the boring ones
has a supplier ever disputed a result posted here
i test roughly every tenth vial. it is a sampling strategy, not paranoia
does a bad result on one lot condemn the whole supplier
log the lot number
a single sample tells you about a single vial. that is genuinely all it tells you
when did you buy it
does anyone log the negative results, the boring ones
attach the pdf
do you test every order or sample it
lot bought purity assay/label
A-2418 2025-03 99.1% 9.6 / 10mg
A-2601 2025-08 98.7% 9.8 / 10mg
B-0114 2026-01 99.3% 9.4 / 10mg
B-0329 2026-04 98.9% 9.9 / 10mgmy read after three years of this: purity is mostly fine across the market and fill consistency is where suppliers differ
selection bias
my vial assayed under label but the purity was fine, which matters more
weigh the vial before you reconstitute. it costs nothing and catches the common failure
lot bought purity assay/label
A-2418 2025-03 99.1% 9.6 / 10mg
A-2601 2025-08 98.7% 9.8 / 10mg
B-0114 2026-01 99.3% 9.4 / 10mg
B-0329 2026-04 98.9% 9.9 / 10mgone bad test does not condemn a supplier. one good test does not clear one. both halves get ignored equally
the widest spread in my data is about 2.6 percentage points across five lots from one supplier