cleeds,
You are simply ignoring the relevant details I supplied in my replies.
You’re being silly. The purpose of a drug trial is to test the efficacy of a treatment. It’s not to test the patient.
I’d put the word "fail" in context when talking of scientific testing - a short form, used advisedly, to indicate negative results in a study. And as I said, scientists will indeed use that term, advisedly, when talking about clinical studies. (My son is in a clinical study now, and the study doctors use that term "failed" for studies and test subjects all the time).
And you can find this language used for many clinical trials.
I’d said:
Prof: "For instance study subjects in medical trials can be said to have "failed to respond to the control treatment," etc. "
Perhaps you will claim the FDA is "silly" when, in their guidelines for medical research, they use just such language:
FDA: Selection of subjects for an active control trial can affect outcome; the population studied should be carefully considered in evaluating what the trial has shown. IF MANY SUBJECTS IN A TRIAL HAVE PREVIOUSLY FAILED TO RESPOND TO THE CONTROL TREATMENT, there would be a bias in favor of the new treatment. (My emphasis).
https://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm073139.pdf
You’re being silly. Of course you can test a subject’s hearing. You can also test a subject for fluency in Spanish, or calculus. But the topic of this thread is, "Do cables really matter?" To ascertain the answer, you test cables, not listeners.
But blind testing itself had come under fire, and you’d stated a more GENERALIZED claim about blind testing:
"A listener can’t "fail" a listening test - that’s a common misnomer about scientific listening tests. A double-blind listening test doesn’t test the listener. It tests the devices under test."
And I was just explaining how that is false, or at best misleading.
Single and double-blind tests can and do test listeners - using "devices" to test the subjects. Alternatively, other types of tests can be oriented towards inferring conclusions about the devices themselves. So we need to be clear about what is being tested. Your reply muddied those waters.