Has anyone here ever heard of this?,
"absence of evidence is not evidence of absence'.
In other words, an apparently null result that shows no difference between groups may simply be due to lack of statistical power, making it extremely unlikely that a true difference will be correctly identified. Given the importance of this issue, it is surprising how often researchers fail to perform any systematic sample size calculations before embarking on a study. Instead, it is not uncommon for decisions of this sort to be made arbitrarily on the basis of convenience, available resources, or the number of easily available subjects.
In English it means you guys can't tell shit about any of this with a statistical sample size of 18 out of the group N=Eris owners on the forum with P=Number who give a shit about telling us when they got their OTA correlating to X=Total number of Eris owners.
Not to mention the other variables?
Jees