I worked in RF engineering for many years. Electronic circuits are well understood - the mode of operation is one of design according to theory. It is not guesswork and the limitations are well known as are what would be required to improve them. Usually the active devices in such components. With respect to cables, LCR and the shielding are sufficient to categorize any variation in behavior of the two connected components. No-one has ever produced any rigorous evidence that has stood up to scientific scrutiny that shows otherwise. Therefore accepted scientific theory (which is contradicted by the unsubstantiated claims of the pro-cable argument) has nothing to answer. If such evidence is ever produced then you will have a case. That is the scientific process - which I might add created all of audio in the first place.
As a rule political science and psychology are those fields where statistics and scientific method are most inappropriately applied - much to the merriment of true statisticians - and cables are another prime example. I stated in my post that sample size is important so I am bewildered that you claim otherwise given that it was the point of my post. If I set up a series of trials and assess relative to random expectation then I can calculate the statistical significance of your performance (if any), employing certain controls to assess effects of bias or systematic issues etc etc.
If you can do as you claim then I suggest you step up and claim Randis $1M without making excuses. If you can do it Randi is on the level and will pay you I am sure so what have you got to lose?
As a rule political science and psychology are those fields where statistics and scientific method are most inappropriately applied - much to the merriment of true statisticians - and cables are another prime example. I stated in my post that sample size is important so I am bewildered that you claim otherwise given that it was the point of my post. If I set up a series of trials and assess relative to random expectation then I can calculate the statistical significance of your performance (if any), employing certain controls to assess effects of bias or systematic issues etc etc.
If you can do as you claim then I suggest you step up and claim Randis $1M without making excuses. If you can do it Randi is on the level and will pay you I am sure so what have you got to lose?