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Single comment threadYou are looking at one branch of unpopular opinion: COA is massively overrated — 27 comments in the full submission. View in context.
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c/coa·submitted 5 months ago by u/laila_wojcik

unpopular opinion: COA is massively overrated

Explainerbranch of 6 comments

Trying to settle this properly because the thread from last year went in circles. The claim: batch matters. The counter-claim: it is measurement error. Both sides have been asserting it confidently for about 3 months without either producing anything. What would actually settle it is 19 people measuring the same…

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This branch

6 comments, started 5 months ago
u/nikhil_lindqvist10 points·5 months ago

Rodent data is rodent data. Dose scaling is not linear and the models tell you what to investigate, not what to expect.

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u/purity_pedantMOD5 points·5 months ago

Removed a chain here. The rule is one line long and it is not negotiable.

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u/hugo_bergstrom0 points·5 months ago

Titration speed is a side-effect dial far more than an efficacy dial.

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u/cormac_pereira1 point·5 months ago

the batch number or it did not happen

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u/laila_wojcikOP1 point·5 months ago

Not to be pedantic but water content and related substances are being used interchangeably and they are not interchangeable in real life.

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u/valeria_karlsen3 points·5 months ago

Rodent data is rodent data.

Adding to this: purity is doing more work than the comment implies.

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About c/coa

How to read a certificate of analysis and what it does and does not tell you. Area% versus mass%, identity versus quantity, water content, related substances, acetate counterions, and the difference between a vendor-supplied COA and an independent test on the vial you actually received.

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Independent HPLC and mass spec. The number you get is the number they found.

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