[Medutest] split one vial across two services, results within 0.9%
split one vial across two services, results within 0.9%. One vial, one service, one member paying, which is the only kind of result this board should treat as evidence.
0.9% — those are the numbers, and they are the ones I am willing to defend.
Kept every report as a PDF with the batch in the filename. Two years in, it is the most useful folder I own.
What a result posted here is actually worth, and how to make yours worth more.
A single figure with no batch identifier is about a vial nobody can locate. Add the batch and it becomes about a lot. Add the claimed figure from the certificate and it becomes a comparison. Add the service and the date and it becomes reproducible. Say that you paid for it yourself and it becomes independent.
Five extra fields, thirty seconds of typing, and the difference between a comment and a row in the log that will still be useful in three years.
If two or three other people have done the same thing we might actually learn something. Alone it is an anecdote.
best — the order this archive was captured in
A series across separate lots estimates a process. Repeat tests on one lot estimate the measurement. Both are useful and they answer different questions.
the log is cumulative, that is the whole value of it
Sent a vial in specifically to check a supplier’s claim after a good experience. It matched. Boring result, worth logging.
Have now spent more on testing than on some of the orders. No regrets — the log is the reason I can buy without agonising.
Left up and added to the vendor source page log. Thanks for paying for it and posting it.
split a vial across two services once and you will never argue about ground truth again
the trend across lots is worth more than any single figure
Yes — date of analysis, because a result from two years ago describes a different manufacturing month.
Not convinced by the comparison. Different services, different gradients, and you are treating one as ground truth.
net peptide content if the report gives it, and say which you are quoting
Small fix — same supplier, different lot. The two rows in the log are not the same batch.
Batch number and date of analysis?
Inter-lab variance on this assay runs roughly a point either way, driven mostly by gradient and integration. Two results inside that band agree; they do not disagree quietly.