Sep 29 2009
Update To Rigged Global Warming Data
In a previous post I noted the great work Steve McIntyre at Climate Audit was performing in tracking down some of the questionable (i.e., cherry picked) data used by the IPCC and global warming alarmists to create the impression that the Earth has experienced unnatural warming over the last 50-100 years. In my mind this discovery is the nail in the coffin of the global warming mythology, and the credibility of everyone who cried “Fire!” and the end of the Earth.
Steve updated his results by focusing on the last 200 hundred years of the climate record reconstructed (or ‘created from whole clothe’) by the alarmists. This new graph shows that when all the samples from the region are included (especially the still living trees which clearly represent the recent climate record) there is a major discrepancy – i.e., NO GLOBAL WARMING! We pick up the thread from WUWT:
Steve writes:
Here is a comparison of the Briffa chronology of the spaghetti graphs (red) versus the “SChweingruber†variation i.e. using russ035w instead of 12 recent of 252 CRU cores, leaving 240 unchanged. (The red curve here is the archived CRU chronology, which varies slightly from my emulation of the RCS chronology.)
This is very damning evidence of deception in my view. The red line is what creates the supposed temperature spike is at the core of many of the alarmists’ claims. But when you look at the complete sample of samples (252 vs a select 12) you see a different world. You see a world with no global warming at all. None. There is a 3 2° C difference!
What is also important to note (but not obvious to those outside the scientific community) is the black line is generated from the same CRU data set that the 12 samples that make the red line. This data was AVAILABLE and in the hands of the researchers who created the mythological red warming trend. They had to have run the complete data at least once (and many subsets many times) to get the desired result. As Steve mentioned yesterday, even a random sample of 12 out of the 252 available could not produce such a divergence.
It is statistically impossible to randomly pull the right 12 to get the desired result.
If I was in Congress, I would be hauling some people up under oath to discover how these ‘scientists’ were magically able to derive the one combination of 12 samples (out of millions or billions of possible combinations) to produce a result that the complete data set just doesn’t support.
Falsifying data and knowingly producing false results is more than shoddy science. When it comes to trillions of dollars and millions of jobs those kinds of acts fall into the zone of criminal behavior, IMHO.
[…] of their brain power and bankroll they’d find someone with a clue on how to market their stuff. Update To Rigged Global Warming Data – strata-sphere.com 09/29/2009 In a previous post I noted the great work Steve McIntyre at […]
Sen. DeMint was wrong to claim that ObamaCare would be the President’s waterloo. Socialized medicine is a policy dispute. Although the POTUS has lied to further his policy choice over the policy of others, the public understands that Obama wants government controlled health care.
Global warming is the real Waterloo. The reason AJ is that your post is dead on. It is criminal behavior that has pushed and promoted global warming. Obama’s speeches on health care may very well be all lies, but socialized medicine is not a lie. Ask Canada, UK, and the EU. Global warming at its very essence is a LIE. It is a manmade hoax dreamed up for the enrichment of a not too few scientists, to the wrecking of economic liberty everywhere, pushed and supported by liberal politicians to destroy free enterprise and the United States as we know it. When the American people discover that they have been played for dupes by the Bernie Madoff school of science, the liberals will have to really worry about the 2nd amendment. It is the biggest political ponzi scheme ever based on falsified data.
To get the right 12 samples, they must have run all 252 through a computer program specifically designed to extract the correct 12 samples according to some pre-set criteria. Sounds like some pretty good data mining. Isn’t there a law against such behavior? I would say it is a crime against humanity.
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[…] historic trends has been shown to be … let’s say ‘unique’. As noted here, here, here and here it turns out that only a very select set of data from a remote Russian peninsula has […]
[…] climate to historic trends has been shown to be … let’s say ‘unique’. As noted here, here, here and here it turns out that only a very select set of data from a remote Russian peninsula has […]