Evolution of an Argument with a GunLoon (Part II)
After the bogus quotes are exposed, the GunLoon will quickly deflect the argument in some other direction. They will never, never admit error on anything. Instead, they will shift gears to some other topic or subject.
Additionally, GunLoons are innumerate. They simply don’t understand statistics. Any time a scientific survey or statistics show the risks of guns outweigh the positives–the GunLoon will attack the statistician. Never will they attack the data or the methodology which are really the only ways to criticize or attack statistical findings. Instead, a GunLoon will claim bias on behalf of the researchers.
Sometimes a GunLoon will try to attack data or methodologies, often with hilarious results. Here is the GunLoon Alphecca on a Harvard study that showed states with the most firearm prevalence also had the highest rates of gun homicide.
Alphecca starts out, predictably, by attacking the researchers. He admits he hasn’t even read the study but feels just fine attacking the results anyway. BTW, this is an almost universal trait among GunLoons–they will often attack scientific surveys without actually having read the studies.
Soon, Alphecca does obtain the study and decides to use the data but not the methodology. He explains:
Notice that I use the raw data. I don’t feel the need to “control” for anything.
Even a C-student in Stats 101 can see the folly of this. The reason one controls for variables is to reduce error in the findings. Essentially, Alphecca is saying he wants to produce error in his study. A quick example: I could do a ’study’ that shows children with bigger feet are smarter than kids with smaller feet. This would be done by not controlling for the age of children; older kids generally have bigger feet and would do better in testing than their younger counterparts with smaller feet. Of course, tmy failure to control for this factor would render my findings nonsensical.
