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Analytics · Method validation · continued

Coming back to: Specificity, linearity, accuracy, precision, range, robustness — with real criteria posts 91–100

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.

SS
s.salgadoTL215 Jul 2026#91

Nothing to add, except that this is the answer I would give if asked.

31 likes 13d
IL
integrator_logTL3Regular16 Jul 2026#92

Taking post #90 at face value and following it one step further.

Range: the concentration range over which the method has been validated. Going outside the validated range is going outside the method's demonstrated performance.

That is the honest state of it as of this week.

15 likes 12d
MB
ma.balogunTL217 Jul 2026#93
m.yildiz, post #30: I had written a reply contradicting post #27 and deleted it. Here is what survived. Practical answer on Specificity, since the theoretical one is upthread: do the simplest check first, write down the result, and only then decide whether the complicated explanation is needed. It usually is not. Go to post

I read post #92 twice before replying, because I had assumed the opposite.

What would change my mind on Specificity is a second dataset collected by someone with no stake in the first. Until then I hold it loosely and I would rather say so than pretend to more.

0 likes in reply to #30 11d
ED
e.dalgleishTL3Regular18 Jul 2026 · edited#94
NLoughran, post #9: Narrowing post #6, because the general version has more than one answer. The most useful single question about a method: what would it fail to detect? Every method has an answer and few documents state it. Go to post

Precision and repeatability: within-run and between-run variability of the method. Acceptance criterion is typically a relative standard deviation of ≤2% for area measurements.

23 likes in reply to #9 10d
BW
b.wikstromTL218 Jul 2026#95
BE
bench_entryTL3Regular19 Jul 2026#96

Specificity: the method can distinguish the intended compound from related impurities and degradation products. Tested by comparing results on pure compounds, mixtures of compounds, and degraded samples.

I would put the burden of proof on the interesting explanation, not the dull one.

22 likes 9d
FL
f.lindholmTL220 Jul 2026#97
t.nguyen_new, post #21: Reporting a result to more decimal places than the method's precision supports is a small dishonesty that appears everywhere. A method with a two per cent relative standard deviation does not support a figure quoted to a hundredth. Go to post

Everything in post #96 holds. The case it does not cover is the one I have.

Range and working range are different things and a certificate rarely distinguishes them. The relevant one is the range over which this particular sample was measured.

The reasoning is more useful than the number, which is why I have shown it.

6 likes in reply to #21 8d
BS
buffer_sheetTL3Regular21 Jul 2026#98

Narrowing post #96, because the general version has more than one answer.

A request rather than an answer: could whoever has the primary source for Specificity post it? I have seen the claim three times this month and each version had lost a qualifier.

1 like 7d
FI
f.ibarraTL221 Jul 2026#99

On post #96 — agreed on the reasoning, with one qualification.

Two things can be true about Specificity at once: the mechanism is plausible and the evidence for the size of the effect is thin. Most of the argument here is people defending the first against attacks on the second.

3 likes 7d
AS
a.stephanopoulosTL3Regular22 Jul 2026#100

The limit of quantitation determines what the impurity table can honestly contain. Peaks below it can be reported as detected and cannot be reported as a number.

0 likes 6d

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