The right way to discuss the Princeton research is to read the articles written by its critics. Here is the link to the article written by one the most outspoken critics of the research
http://www.nap.edu/read/778/chapter/7#640
Basically, it says that the Princeton research group gave incorrect interpretation of their research results because their results are below the significance level, although the group claims the opposite.
How could this happen? The researchers used a standard version of two-sided t-test to draw the conclusion, while the critic (he is not the author of the article, but the author sited his work) transformed the results to fit, as he says, the same t-test. The newly interpreted test shows the results that are below the significance level.
The way I see it, the critic “massaged” the data to fit it into his version of truth, as Guilianni put it while defending his client, Trump. This technique might work in the world of politics, but it is not acceptable in the world of science.
This is part1 of the article, the next one deals with the randomization process used by the research group. Unfortunately, I do not have time to discuss it today (it took me more than an hour to read the article and prepare response to it; today I do not have time to respond to my opponents’ posts, but I will do it tomorrow).
I am trying to be thorough and push this discussion in the right direction rather than responding to useless personal attacks. (Personal stuff doesn’t bother me at all, but I see it as a waste of time).