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Here's a good little article in Ars Technica, taking a look at the increasingly-common rumors that have been spreading about "global cooling" -- basically, the way that a lot of people with a vested interest in fighting the idea of global warming have seized on short-term statistics and ignored the long-term ones. Apparently the AP did a simple little experiment of sending the data, context-free, to some statisticians and asking what trends were seen in the numbers: the result (which won't surprise most people here) is that the pattern of warming is quite clear, and the "cooling" is nothing more than statistical blips and preconceptions...
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Date: 2009-11-03 08:11 pm (UTC)I think it is also the case that we may experience a small reprieve from global warming on account of the strange reduction in solar magnetic activity, resulting in more cosmic rays (and hence high altitude clouds) in the upper atmosphere.
This is NOT going to fix the melting glaciers, but it will give a few consecutive non-record heat years.
(no subject)
Date: 2009-11-03 08:35 pm (UTC)I found it to be a very poor article. a) I couldn't actually find a link to the statisticians questioned or their methodologies. b) somewhere in there, I'd think one should reasonably talk about Bayesian reasoning, and what sort of weight you are supposed to give the most recent evidence. You'll notice the trick they used to compare the recent data to statistical variation in the past has a glaring fault to it: if it does represent a change in the trend, the fact that it looks like what turned out to be statistical variation in the past is a red herring.
Really, what a good Baysesian reasoner would say is that the recent data would lower the case for global warming by a bit. Not like the official reports that claim that the decline in the last few years is evidence in favor of the theory (if you need the cites for that, chase down David Friedman's blog, where he discusses it extensively.)
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