Brizonbiovizier, wrong on both counts. Yes, electronic components work, but that does not mean that we really know what variations might improve them. Certainly, to think that resistance, capacitance, and inductance are all that matters is simplistic. What about the geometry, what about the insulation, and what about the impact of RFI and EMF?
You are right about probabilities and statistics being linked at a fundamental level but it is still the case that statistical significance is the proper term, not significance as the single word believes the fact that what is statistically significant may be of little value. If you don't realize that statistical significance can be greatly enhanced by increasing the size of the sample, your understanding is deficient.
Statistical significance center entirely on the question of whether sampling error could mean that our random sample based findings could with a certain probability have come from a population where there was no relationship between the variables in our hypothesis. We are willing to risk type I error and reject our null hypothesis lending credence to our hypothesis if the probability of such an unfortunate sample is below typically below 5 in a 100 samples.
I have a PhD in both political science and psychology where I got most of my methods training both in experimental and sample based research. I have taught research methods and statistics for 40 years and published broadly in refereed journals, not that this really matters.
I still say that your dismissal of the possibility that wires sound different is inherently unscientific and unjustified by anything you mention. Furthermore, I cannot understand why any audiophile would not avail themselves of the opportunity to listen first before dismissing possible improvements.
You are right about probabilities and statistics being linked at a fundamental level but it is still the case that statistical significance is the proper term, not significance as the single word believes the fact that what is statistically significant may be of little value. If you don't realize that statistical significance can be greatly enhanced by increasing the size of the sample, your understanding is deficient.
Statistical significance center entirely on the question of whether sampling error could mean that our random sample based findings could with a certain probability have come from a population where there was no relationship between the variables in our hypothesis. We are willing to risk type I error and reject our null hypothesis lending credence to our hypothesis if the probability of such an unfortunate sample is below typically below 5 in a 100 samples.
I have a PhD in both political science and psychology where I got most of my methods training both in experimental and sample based research. I have taught research methods and statistics for 40 years and published broadly in refereed journals, not that this really matters.
I still say that your dismissal of the possibility that wires sound different is inherently unscientific and unjustified by anything you mention. Furthermore, I cannot understand why any audiophile would not avail themselves of the opportunity to listen first before dismissing possible improvements.