KeithEmo
Member of the Trade: Emotiva
- Joined
- Aug 13, 2014
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That is absolutely correct..... this has nothing to do with the philosophy of perception.
However, if the thresholds at which things can be perceived are different under different conditions, then those conditions DO need to be taken into account.
In simplest terms, if the "final test apparatus" is a human being, then anything that affects that human being, in the context of the results, is indeed part of the test conditions.
If some external factor, even a psychological one, actually alters the threshold of perception, then you cannot simply ignore it.
For example, if your runners "feel faster" in their flashy new red uniforms, than that's quite possibly meaningless.
However, if, when you time them with a stopwatch, they really DO run faster in those new uniforms, then it becomes significant data.
And, yes, our ability to pick out details and patterns is in fact often influenced by things like our mood.
Those red uniforms may have less air resistance - or those runners may have more adrenaline in their systems because they feel more appreciated - or something else altogether.
And, if that ends up actually affecting their performance, then it is legitimate physical data.
Some meters become more sensitive when they're heated, or refrigerated; perhaps some listeners become more sensitive to THD when they're in a good mood, or a bad mood.
What we may PREFER to think of as "simple thresholds" may in fact be quite complex - and may vary depending on sometimes unexpected things.
There's a famous quote about "the best explanation is the simplest one that actually covers all the facts".
The human mind is a very complex measurement instrument... and sometimes its performance can vary quite oddly.
For example, we humans can detect a steady sine wave tone, even if it is several dB BELOW a noise floor of random white noise.
Apparently our brains can "filter out" the random noise and "pick out" the non-random information below it.
In other words, the threshold at which we can detect the signal varies depending on what the signal is, and how meaningful it is to our brain.
It seems our brains have certain specific "built-in" algorithms that are very sensitive to certain specific patterns.
(So, for those specific patterns, the "normal thresholds of perception" don't apply.)
One well known visual example of this is faces.
We humans are "programmed" to detect faces in visual patterns.
With the same information, a typical human is more able to pick out partly obscured faces than ANY machine intelligence yet developed.
And, probably as a side effect of this, we are also more likely to "see" faces that aren't there in truly random data - like the inter-station noise on a TV screen.
However, you can't simply disregard this data because it's "messy" or prevents you from developing a nice neat theory that covers everything simply and in one dimension.
However, if the thresholds at which things can be perceived are different under different conditions, then those conditions DO need to be taken into account.
In simplest terms, if the "final test apparatus" is a human being, then anything that affects that human being, in the context of the results, is indeed part of the test conditions.
If some external factor, even a psychological one, actually alters the threshold of perception, then you cannot simply ignore it.
For example, if your runners "feel faster" in their flashy new red uniforms, than that's quite possibly meaningless.
However, if, when you time them with a stopwatch, they really DO run faster in those new uniforms, then it becomes significant data.
And, yes, our ability to pick out details and patterns is in fact often influenced by things like our mood.
Those red uniforms may have less air resistance - or those runners may have more adrenaline in their systems because they feel more appreciated - or something else altogether.
And, if that ends up actually affecting their performance, then it is legitimate physical data.
Some meters become more sensitive when they're heated, or refrigerated; perhaps some listeners become more sensitive to THD when they're in a good mood, or a bad mood.
What we may PREFER to think of as "simple thresholds" may in fact be quite complex - and may vary depending on sometimes unexpected things.
There's a famous quote about "the best explanation is the simplest one that actually covers all the facts".
The human mind is a very complex measurement instrument... and sometimes its performance can vary quite oddly.
For example, we humans can detect a steady sine wave tone, even if it is several dB BELOW a noise floor of random white noise.
Apparently our brains can "filter out" the random noise and "pick out" the non-random information below it.
In other words, the threshold at which we can detect the signal varies depending on what the signal is, and how meaningful it is to our brain.
It seems our brains have certain specific "built-in" algorithms that are very sensitive to certain specific patterns.
(So, for those specific patterns, the "normal thresholds of perception" don't apply.)
One well known visual example of this is faces.
We humans are "programmed" to detect faces in visual patterns.
With the same information, a typical human is more able to pick out partly obscured faces than ANY machine intelligence yet developed.
And, probably as a side effect of this, we are also more likely to "see" faces that aren't there in truly random data - like the inter-station noise on a TV screen.
However, you can't simply disregard this data because it's "messy" or prevents you from developing a nice neat theory that covers everything simply and in one dimension.
We don't need to get into philosophy of perception, but we do need to get into psychology and neuroscience of perception, if we want to be scientific and understand the issues. That's central to the question of whether there are audible differences under various circumstances. Perception needs perceivers. As has already been discussed ad nauseum even during my short time here, these questions can't be settled only by looking at gear and objective measurements.