I agree with the notion of Science! being applied as a tool for understanding how different equipment influences my perceptions, but I'm not convinced ABX testing is the right way to go about it.
Even if a test population of reasonable size is acquired, large enough to smooth out the differences in loudness perception in the subjects, you'd still only have a result for that particular set of equipment. Perhaps a statistically significant percentage of the subject group could identify MP3 versus APE, but once you swap out a cable or change the room temperature, confidence in the results degrade.
If one wants to apply science here, there first has to be a hypothesis that can be falsified through measured experiment. For example, "all conducting wire measures the exact same frequency response curve with white noise at 90db, regardless of the transducer". This is probably trivial to falsify, but is on the same continuum of the notion that high priced cables are "better" than lamp cord.
If you want to apply science to that or a similar or even more refined question, super. But an ABX test isn't going to get you a definitive result.
Even if a test population of reasonable size is acquired, large enough to smooth out the differences in loudness perception in the subjects, you'd still only have a result for that particular set of equipment. Perhaps a statistically significant percentage of the subject group could identify MP3 versus APE, but once you swap out a cable or change the room temperature, confidence in the results degrade.
If one wants to apply science here, there first has to be a hypothesis that can be falsified through measured experiment. For example, "all conducting wire measures the exact same frequency response curve with white noise at 90db, regardless of the transducer". This is probably trivial to falsify, but is on the same continuum of the notion that high priced cables are "better" than lamp cord.
If you want to apply science to that or a similar or even more refined question, super. But an ABX test isn't going to get you a definitive result.