GREEN CRIME "We Stand By It as a Theatrical Work"
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scream-of-consciousness; "If you're trying to change minds and influence people it's probably not a good idea to say that virtually all elected Democrats are liars, but what the hell."
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scream-of-consciousness; "If you're trying to change minds and influence people it's probably not a good idea to say that virtually all elected Democrats are liars, but what the hell."
GREEN CRIME "We Stand By It as a Theatrical Work"
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I recall that in one of my Statistics courses in college, one of the required reading was Huff's "How To Lie With Statistics"
ReplyDeleteI guess manipulating the presentation of actual numbers is still better than fabricating your own facts.....
Cuzzin Rick
I object.
ReplyDeleteYes, the whole anthro-carbo-thermo-climo-apocolypse is nonsense. Yes, every Democrat is a compulsive liar. Yes, his chart is idiotically fraudulent. Yes, he is a stupid penis. <— ((See how that sounds?))
However, I extend my sincere appreciation to the entire WH science team for popularizing Polar Vortex Encoldenment. Or as we call it, PoVoCo.
I meet hundreds of people on the beach every month. PoVoCo always gets at least a chuckle when I mention it in passing on a chilly day. On nice warm days, I cite the lack of PoVoCo and that gets a laugh too. It's a great icebreaker at BBQs or dune parties, and a social lubricant for occasions of all types. Island visitors pay most of our taxes, so I feel obliged to welcome and amuse them. PoVoCo is the best joke I do.
Dr. Holdren, we salute you.
Hmmm. Say, How 'bout them Bears?
ReplyDeleteMy college statistics prof started his description of a week long project with "You are hired to determine the public reaction to..."
ReplyDeleteAfter explaining in detail the project he asked if there were any questions. I raised my hand and asked "since you are "hiring" us to do this study, what do you expect the results to show?"
I was immediately awarded a "A" on the project and excused from having to do the exercise. The prof spent the rest of that class period and the next two sessions lecturing on keeping personal bias and preconceived notions out of your data collection and analysis.