Stats
This might not be a popular additional stat, but how about ethnicity? I’ve noticed that many Asians do not appear to be afraid to post - some refuting the smaller size notion, and some agreeing with the conventional wisdom. Many other studies have included ethnicity as an important metric. You’ll note that I am taller than most Asians, yet I wonder if my lower half stats are terribly far off from the norm of my relevant population. In other words, whom you shower with or share a bed with might matter about your perception of size. I grew up in an Anglo environment, so I still see myself as small and the stats via this board suggest that this is true, at least for length, which I would regard as a significant difference. Everything I’ve seen would suggest that I am way at the left side of the bell curve at every confidence level relative to the general population.
I know others have questioned the self-reported stats problem, but as I see it this will plague most studies. I saw a study (Lifestyles?) that hired a bunch of nurses to measure guys during Spring break, which might be the only way to get around the self-reporting problem. Still, you would have to ensure that the Spring break crowd was representative of the general population, and there would be other issues to resolve. As others have said, I’m less worried abut “n” than making sure we know what it is we are reporting in the first place.
I don’t think the results of this study will tell you much more than something about Thunder’s population, as the fundamental problem will always be the self-reporting problem. It’s the same problem that would exist if you asked a population on a chocolate website about their chocolate consumption. Those not just visiting, but actually going through the registration process and posting are more likely to have different consumption patterns than the general population. You could do some post-reporting analysis in that case by knowing the worldwide chocolate demand, population, etc and using some regression tools to do better analysis in that case.
In our situation, I wonder if we can use known problems with other studies to correlate to ours (ultimately) to improve our analysis? This might require a cross-reference of people who have taken multiple surveys or something like that. Probably more work that we’re up for, but maybe there’s a PhD candidate in human sexuality waiting to make his/her mark out there..
Height: 71”
Length: 4.9”
Girth: 5.0”