It is sufficient proof for me personally, to base engineering decisions on the test results.
"good enough", eh?
Not in the presence of a positive result giving evidence of 'effect'.
You seem under the impression that a reported positive result is unassailable. Science laughs at you.
You do blather on so.It is however a common fallacy in pseudo science, confidence tricks and cargo cult science to assume that because most results are negative and that is what we expect positive results if fewer must be in error.
Please post the references.
Oh dear, you aren't familiar with the Japanese group who tested another Japenese group's results?
I believe nothing. And they are not news to me either.
I struggle to believe you.
Correct. FOr example, the lack of positive evidence from a test that by design makes the negative outcome highly likely and the positive outcome highly unlikely is utterly unconvincing as evidence of anything, except the degrees of human bigotry.
Your 'method' here is to assume what you are required to prove. A clown show.
Indeed. And Meta Analysis to see if the failure to get a positive output is actually with the test, not the stimula being tested.
Thor
A meta-analysis interrogates both reported positive and negative outcomes. The meta analytic outcome can indicate that the positive was false/insignificant, or that the negative was. Its results depend crucially on which results are 'admitted' to the analysis and which are excluded.