pebrew
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Andre said:And here is somebody else who also came to a similar conclusion:
http://www.lelarge.homepage.t-online.de/PhZT/Temperatur_Intcal.gif
Compare the blue nr 2, the hockeystick with the red nr3, random data into the model. A predestined hockeystick I'd say.
Actually, the red #3 data is not the result taking random data and putting them through Mann's methods/calculations. Rather it is the result of taking the black #1 data (a simulation of the global temperature the past 1000 years produced with the ECHO-G simulation), producing theoretical proxy data from that ECHO-G simulation, and then putting these simulated proxy data through Mann's methods/calculations. The original press release of the article can be found at http://www.mad.zmaw.de/Research/Presse/press040927-1Storch.pdf
This is a summary of the important piece by Storch published in Science at the end of September that Muller refers to in his article.
Storch et al’s work does not support the claim that any random data processed with Mann's methods would produce a hockeystick. In their own words:
Their work covers “many statistical methods that are based on linear regression”, not just Mann et al’s methods. Though if it is verified, this work will cast a heavy light of uncertainty on the ‘hockeystick’. Making it important since “proxy-based temperature reconstructions have been used to assess climate change over the past millennium, in particular by the IPCC…” (Storch et al).The main conclusion of this study is that many statistical methods that are based on linear regression considerably underestimate the centennial and decadal past temperature variations. When applied to the model data these methods return an estimate of past model temperatures that hardly resemble the true model temperatures. Also, the associated error bars do not describe the real error adequately.
While casting question on a traditional pillar of AGW theory, this is not a refutation of the broader, developing AGW theory:
(And from that more recent Richard Muller article http://technologyreview.com/articles/04/10/wo_muller101504.asp)However, in spite of this reassessment of claims about past temperature variations, the study does not question claims about the detection of signals of anthropogenic climate change in the recent decades based on the speed of change nor perspectives of probable or possible future climate change.(Storch et al)
If you are concerned about global warming (as I am) and think that human-created carbon dioxide may contribute (as I do), then you still should agree that we are much better off having broken the hockey stick. Misinformation can do real harm, because it distorts predictions. Suppose, for example, that future measurements in the years 2005-2015 show a clear and distinct global cooling trend. (It could happen.) If we mistakenly took the hockey stick seriously--that is, if we believed that natural fluctuations in climate are small--then we might conclude (mistakenly) that the cooling could not be just a random fluctuation on top of a long-term warming trend, since according to the hockey stick, such fluctuations are negligible. And that might lead in turn to the mistaken conclusion that global warming predictions are a lot of hooey. If, on the other hand, we reject the hockey stick, and recognize that natural fluctuations can be large, then we will not be misled by a few years of random cooling.
A phony hockey stick is more dangerous than a broken one--if we know it is broken. It is our responsibility as scientists to look at the data in an unbiased way, and draw whatever conclusions follow. When we discover a mistake, we admit it, learn from it, and perhaps discover once again the value of caution.
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