Quote by Chryses
That is what the 23% (before adjustment) or the 12% (after adjustment) greater-murder-rate-in-red-states-than-blue-states result would have one believe.
My example shows that the claim is groundless.
Your example did no such thing. What your example shows is “Here’s what the data would look like if it reflected that murder rates are higher in blue states than in red states.” It’s a glorified if/then scenario presented as fact, which is a fairly common tactic when one wants data to say it supports their position when it doesn’t. And when this action is pointed out, the new challenge/tactic becomes “Prove that my faulty data isn’t faulty” to then get everyone to focus on said faulty data versus what actual data is saying. Fairly transparent, therefore thankfully easy to spot.
I’m aware I’m quoting you, but the same applies to what Ironic has presented as well. Just didn’t wanna expend unnecessary time dabbling in false data.


