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The problem is you are imagining a result. Then asking what we should do. Okay for conjecture. However, the results we do have indicate an extremely low probability of your imagined result occurring. What we should do then is conclude the measurements combined with knowledge of psychoacoustics are fine.Hello.
I like math and logic and I asked myself the following question:
we take 1000 people totally at random and make them take an 'ABX test' between two DACs, then we repeat this same experiment a dozen times.
We add up the results to find out which of the two devices was unanimously preferred (by listening, of course).
It can be seen from the results that the device chosen is not the one that obtains the best results in the measurements:
- What can we conclude from this ?
- What is important ?
Be objective but above all honest and don't tell me that it's not possible because the measurements say the opposite, DACs have fairly small measurement differences between them nowadays and there is still a very large number of people who are convinced that they hear differences.
My final question is: Are we 100% confident that we are currently measuring everything that should be measured ?
NB: I don't know (what else to measure) but I'm not convinced although I don't question the objective evidence of what we measure nowadays.
PS: I liked the 'intervention' of a member of the forum who said first to listen to a device before proceeding with the different measurements so as not to influence his subjectivity (his impressions) because I have the impression that it is often the opposite that happens quite often...
Regards.
I would note you are unlikely to get unanimous results or you mean something different by that.
If your proposed test with 1000 people doing 12 trials each had an unexpected result you would first want to retrace methodology to see if nothing had contaminated the results. Replication to see if the result was about the same a second time would be one step. We would expect such a test to show correct identification between 11,890 and 12,110 times at the 95% level of confidence that results were random. If for instance 1 device with slightly inferior measurements were preferred 12,050 times it wouldn't mean anything.