I've seen such request before. How are you doing so far?Could you cite some well documented tests in which that happened?
Perhaps because you don't want to because you still can't cite actual example of audio DBT not revealing audible difference that was really there.You should (at least sometimes 🙂 ) consider another possibility; i´was asking because i looked it up (again, after being puzzled by your assertion) and still don´t get, in which way i should have constructed a straw man.
Your attempt to smear audio DBT by implanting doubts, is so overused by professional shills that it's boring.No way. Let me restate it, if it is a hypothesis test (which it is), then the null hypothesis will be that the result could be quite likely occur due to random guessing.
Given the level of significance the experimenters has choosen before, he can decide to reject the null hypothesis or to _not_ reject the null hypothesis.
And that leads to the two possible errors:
to reject the null hypothesis, although the null hypothesis is in fact true
or
to not reject the null hypothesis, although the null hypothesis is in fact wrong.

More of the same dancing around, just like the professional shills do on internet forums.This "so" violates the rules of logic... 😉 An example was already given.
You were talking about "properly done" tests and wrt that description these are lacking; btw the amp one is old news.
(With all due respect, as my spanish is way too rusty and babblefish doesn´t help really...)
Even--Jakob is being thorough about experimental/statistical methodologies and, as result, coming across as frustratingly pedantic.* There's a wide difference between that and shilling, though. I don't see him trying to sell a different, more favorable brand of testing, but simply asking for rigor.
* And goodness knows we need sober, ostensibly pedantic, people to grind forward with progress as the more hyperbolic folks fly off.
To the point, while this is in medicine, the message remains the same regardless the field: PLOS Medicine: Why Most Published Research Findings Are False
Very, VERY few studies within audio land would qualify as large and well controlled, and, shockingly, they tend to show how "deaf" we are rather than how incredibly good our hearing is. (Remember my prior disclosure and bias)
* And goodness knows we need sober, ostensibly pedantic, people to grind forward with progress as the more hyperbolic folks fly off.
To the point, while this is in medicine, the message remains the same regardless the field: PLOS Medicine: Why Most Published Research Findings Are False
Very, VERY few studies within audio land would qualify as large and well controlled, and, shockingly, they tend to show how "deaf" we are rather than how incredibly good our hearing is. (Remember my prior disclosure and bias)
You were talking about "properly done" tests and wrt that description these are lacking; btw the amp one is old news.
(With all due respect, as my spanish is way too rusty and babblefish doesn´t help really...)
Just because http://webpages.charter.net/fryguy/Amp_Sound.pdf
is old doesn't mean its invalid or irrelevant.
OK, certain well known high end writers (some head us well-known and profitable high end publications) don't like it and dismiss it based on some grounds that are either based only on their personal authority, or some made up or otherwise specious grounds.
What we seem to have here seems to be a true believer that will dismiss any evidence that goes against his prejudices, pure and simple.
Hint: There will never be a real world DBT that some internet troll, some place, will not dismiss on specious grounds.
Even--Jakob is being thorough about experimental/statistical methodologies and, as result, coming across as frustratingly pedantic.*
Having read many of his posts, it appears that he's being true to his personal prejudices.
While he personally may not be a shill, it appears that he's citing them as infallible authorities.
Just because http://webpages.charter.net/fryguy/Amp_Sound.pdf
is old doesn't mean its invalid or irrelevant.
It didn't have to be old to be either of those things.
dave
Your point is...?It didn't have to be old to be either of those things.
dave
It didn't have to be old to be either of those things.
dave
But its really just fine given that you have no relevant problems with it?
Your point is...?
It can only be looked at as a clever piece of satire.
The only statistical valid statement that can be made is that in the tests no differences were detected. That cannot be extended to there were no differences. The test is not that powerful.
dave
There are numbers of differences and I would like to know specifically which, so let me ask you, what kind of differences are you referring to?It can only be looked at as a clever piece of satire.
The only statistical valid statement that can be made is that in the tests no differences were detected. That cannot be extended to there were no differences. The test is not that powerful.
dave
It can only be looked at as a clever piece of satire.
The only statistical valid statement that can be made is that in the tests no differences were detected.
Agreed, but that is a truism.
That cannot be extended to there were no differences.
Agreed, but that is a truism.
Proving a negative hypothesis is difficult or impossible, and generally impossible.
The test is not that powerful.
I don't know of any test that can reliably prove every negative hypothesis, do you?
You said "differences". There are number of differences and I would like to know specifically which, so let me ask you, what kind of differences are you referring to?You don't understand the test?
dave
I don't know of any test that can reliably prove every negative hypothesis, do you?
No. But people still treat them as if they do.
dave
And I was asking you what kind of differences. Can't you just give a straight answer? 🙄 BTW, straight answer includes "don't know".The test said no differences.
dave
What say you?
The test claims no differences, so any differences would count. You didn't get that right off the bat?
dave
dave
No. But people still treat them as if they do.
Figure of speech.
For example, there is a hypothesis that I can run a mile in a minute. We know that we can collect as much evidence as we want showing that it is not true. No human has ever run a mile in a minute, and the evidence we have to date suggests oh so strongly that this is practically speaking, a physical impossibility.
How much evidence of me failing to run a mile within a minute do we need to collect until we give up and say the hypothesis is false?
if you are a true pedant, you would probably say that the hypothesis can never be proven false. Back in the real world...
you would probably say that the hypothesis can never be proven false...
It can't be. And i know enuff about statistics to know how hard it is to do a proper unbiased blind test. If you want to believe Clark's tests go ahead... it is just more noise AFAIC.
Have a look at Kunchar's papers. How many times did he get a null test until he sorted his ABX test, and then proved that the limit of human time perception is less than 5µs.
dave
That depends on what kind of difference you are talking about.The test claims no differences, so any differences would count. You didn't get that right off the bat?
dave
You don't know that, especially when you couldn't come up with one example I mentioned in my last sentence here.The only statistical valid statement that can be made is that in the tests no differences were detected. That cannot be extended to there were no differences.
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