phill4paul
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- Joined
- Dec 18, 2007
- Messages
- 46,967
Climate Disruption!
It's only a "Disruption" now? Well, that certainly doesn't seem as bad as a "Change." I don't see what the the big deal is in that case.
Climate Disruption!
It's only a "Disruption" now? Well, that certainly doesn't seem as bad as a "Change." I don't see what the the big deal is in that case.
It's only a "Disruption" now? Well, that certainly doesn't seem as bad as a "Change." I don't see what the the big deal is in that case.
It's maybe funny as a joke in our circle but it's a terrible argument to make generally.
We're talking about GLOBAL Climate Disruption!!
We're talking about GLOBAL Climate Disruption!!
We're talking about GLOBAL Climate Disruption!!
There's no arguing with climate alarmists. Simply back away slowly and do not take your eyes off them until you are out of harms way.
Climatology predictions suffers the same problems as economic predictions, to many variables and not enough accurate data.
Some things are pretty well known. How the jet streams react to ocean currents, red tides in Eastern South America corresponding to distinct weather patterns in North America. It's like sociology, trends are easy, events are impossible.
I'm not convinced. Recognizing a trend happening is one thing, but how do you predict when or what a future trend will be? Regardless, modeling a sophisticated system is a fools errand.
It's not "Global Warming" anymore. Get with it. It's "CLIMATE CHANGE!!!!!!"
Even if economists had perfectly accurate data and very few variables to deal with, the element of "human action" would STILL knock any of their predictive models into a cocked hat. As futile as the development of accurate, precise and long-term-predictive climatological models may be, that pesky "human action" thing is, at least, one "fly in the ointment" that climatologists don't have to contend with.
I wouldn't say it's a fool's errand. Rather, let us say it's an errand that fools like to run. But not all who run such errands are fools. Attempts to model complex non-linear systems (especially those involving weather and the climate) have contributed enormously to the development of "chaos theory" and our understanding of non-linear dynamics.
And at least it's possible for climatologists to rigorously and objectively define their variables and data elements, and then reproducibly measure them with accuracy and precision. "Social" scientists (such as economists and sociologists) can't even do that much. Developing reliably useful predictive models of complex non-linear systems is enormously difficult, if not practically impossible. But when those systems involve the element of "human action," the task becomes essentially impossible. Unlike people, clouds and cold fronts don't "choose" to do whatever it is that they do - and they certainly don't make choices about what they do in the context of knowledge (or lack thereof) of past events or possible futures.