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The Big GOTCHA that folks seem to ignore with ABX, etc.

I think that what E-stat is saying, is along the lines of the following.

Unless you know what the sensitivity is of a given test, whether it is ABX, double-blind or whatever protocol, you really can't equate a null result to a negative outcome.

Put another way, if the blind test can't detect large differences in known metrics that SHOULD be audible, or have proven to be an audible problem, then getting null results really don't mean anything.
The test is worthless, and should not be used as any klind of evidence.

So all the brou ha-ha about some folks in the test claiming to hear
readily audible differences between A and B in an ABX test, and then not being able to identify X, is just a red herring. What really matters is what CAN the test truly discern, and if it has very high sensitivity to audible differences, that is all that matters.

Then it might be possible to draw some limited inferences from the test results, still limited by the inherent problems and limitations of this entire class of test protocols.

Jon Risch

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