Let's formulate a hypothesis, shall we?
Context is evaluating speakers in regrad to subjective preference by a wider audience. The test panel (real people) is not all trained in evaluating, but some are. Since we have no predefined 'neutral', we first ask for discrimination of speakers one against the other, secondly we ask for a preference considering the differences. Then after we design a rank on an ordinal scale, and consequentially lift that on a rational scale by counting the individual verdicts, doing some statistics.
Given this, we hypothize that:
- listening to just one speaker, in particular not two in stereo or many in surround, the discrimination is more stable, consitent over the panel (what the necessary mono signal is, is left to be determined)
- the so found preference translates to the real use of a speaker pair, or a surround setup respectively
In answer to the hypothesises I would argue that
- discrimination is there, the data shows it, preference is there also
- translation is missing, just because the dicrimination is diminished in stereo etc and so is preference
Ironically, if you don't mind, the call for more discriminative testing contradicts itself. It doesn't translate, which very fact is taken as the motivation for mono testing.
NB: I handed the above over to an LLM (AI). It got it right, as far as I'm concerned, and putting all the sticky praise besides, it concluded that there's a "philosophical" framing:
- methological purity
versus
- ecological validity
In short: "
We can measure well in mono, but what we measure doesn’t matter as much in stereo."
To argue after the fact, that the better mono speakers are found to be the more sound (*g*) in terms of engineering isn't valid, given the above context, right?
Won't speculate on why the discrimination is more robust when doing mono, because, again, it won't help too much.
Have fun, no offense intended!
I'm decidedly not 'anti', see my post