Nonsense. We're talking about a very specific slice of time in a very specific location involving a reltively small group of people. There were less than 10,000 white people living Chesterfield County SC circa 1871. A much smaller number of them wold be considered 'respectable' and an even smaller subset are ex-cnfederate officers or soldiers.
Mstar has previously bragged about her family's extensive roots in this area, their apparent respectability as members of the 'planter class', as well as her ancestors prominant role in secessionist activity. She also challenged some of us to 'do our homework' about events in that area and even posted an extensive local Chesterfield County history dcument complete with footnotes.
My own research into the subject has concluded that it would be extremely unlikely that any ex-confederate soldier or prominant seccessionist living in Chesterfield County SC in 1871 wasn't a member of the KKK. If that is an uncomfortable truth for some of you neo-reb halfwits, tough sh*t.
Gee, by all means slander everyone. White, SC & ex-confederate = Klansman? Stupid much? You, my friend, are no Mensa member.
If you're only discussing a very specific slice of time, 1871 to be exact, why would you jump forward 139 years and attach a pointy hood to someone? I don't believe pride in one's heritage or ancestors is indicative of clan membership. Of course, my reasoning is sans the broad brush.
Your research? Perhaps you can justify your 'conclusion' with empirical data.
What's that? You don't have any? Your 'conclusion' is just extremely biased conjecture? Shocking! Just shocking!!
In that case, lacking empirical data, perhaps you would like to astound us with an indepth statistical analysis that would mathematically model and support your preposterous 'conclusion'.
I'd be interested to see the math. Don't forget to include the time period for your 'study', sample population (which should include some discussion on age, gender, race, financial status, etc.), dependency rules, a kurtosis model, bias and normalcy evaluation, outlier removal, 2 sigma reduction, etc. In other words, whatever it was you did to arrive at your 'conclusion'.