BINGO!
Dan, this is THE most important step in structuring any kind of meaningful test. Clearly articulate your hypothesis first. Then set out to prove or disprove it with test protocols that isolate as many of the variables as possible or in this case as your limited resources (being the two test basses) allow.
While you are correct about clearly articulating the hypothesis being the first step, the use of an extremely limited sample pooches the test process from the start.
All it can hope to do is demonstrate the effects of the test sample which can't logically be extrapolated to validate a hypothesis. Many more datapoints (from random samples) are required to begin to show patterns which may then indicate whether a hypothesis is worthy. However there are other things that get in the way of the validity of these types of tests.
In my day gig as a test engineer, the possibility of "cherry picking" the samples to falsely validate or invalidate a hypothesis must be guarded against. Remote testing provides no possibility of verifying the integrity of the sample selection process. No accusation intended, simply stating a reality of testing in the real world.
No one can deny that people hear things differently so another issue is the varying ability of those listening to be able to differentiate between the samples. One thing these threads have shown is that people's sensitivity to the differences varies. In short, some can hear it (to varying degrees, so maybe it's not really a binary condition) and some can't hear it at all.
Also the listening environment is not standardized which could easily mask the ability of anyone to hear the difference and therefore skew the results.
One way to alleviate the listening aspects would be to use a spectrum analyzer, but then it's not a listening test or a test of listening, whichever you prefer.
There are a host of other variables to consider such as the density of the samples, plucking accuracy, setup parameters, etc. that also need to be considered.
In short, there's simply too many variables some of which are uncontrollable.