Michigan is blowing away all records for cold this year, due to a Mann-made overheated atmosphere.
Disrupting the Borg is expensive and time consuming!
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Yup. I am here doing that. Brrrr. Going to be -11 F or so tomorrow morning.
Don’t forget after adjustments are made this will be the warmest 6 month period evah!!
Uh oh! Time to adjust the data.
And I am sick of it here in SE Michigan already. Please bring on some spring.
UP here in the UP it almost feels like spring, all we need to do is get rid of the snow and ice by the way it got up into the 50’s Monday now the snow is only 3 feet deep my wife says it’s 4 feet the weather is great no insects for 6 months other then a couple of fly’s that must have heard about the global warming we’re having
It would have been a hell of a winter without CAGW…
Hey Steven, that is an amazing shift! From historical highest to historical lowest in three years (inclusive.) For what it is worth, it is not unusual for chaotic systems to make major swings just as they transition from one metastable state to another. One small question, please; is the graph showing raw HCN numbers or is it “adjusted” data? (The “adjustments” are so biased that I much prefer anything raw over the tortures that the “climate scientists” inflict.)
Thanks Jason, for answering my question in the post below. Now, do you understand why the major swings happen and, if the system is chaotic, why they don’t just destroy the system? Or is “chaotic” an approximation?
I don’t get your point. We were urged to “save our winters” and we did (sarc). I hope it means that I won’t have some eco loons knocking on my doors to get me to sign some new petition.
That sampling is not even a blip on the geological record. When the ECO-fearnographers give up THEIR private jets, personal-enriching-carbon-credits, mansions, and act as though they actually BELIEVE the poop they are spouting, I might listen.
Until then I keep thinking of “The MUSIC MAN” and the Rainmakers fleecing the poor ignerint Farmers.
Wow!
Just a question: why the data always goes very high up before it goes very deep down?
This kind of dramatic changes are present everywhere in climate data.