Skepticblog » Global Warming Skeptic Changes His Tune - by Doing the Science ... - 0 views
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To the global warming deniers, Muller had been an important scientific figure with good credentials who had expressed doubt about the temperature data used to track the last few decades of global warming. Muller was influenced by Anthony Watts, a former TV weatherman (not a trained climate scientist) and blogger who has argued that the data set is mostly from large cities, where the “urban heat island” effect might bias the overall pool of worldwide temperature data. Climate scientists have pointed out that they have accounted for this possible effect already, but Watts and Muller were unconvinced. With $150,000 (25% of their funding) from the Koch brothers (the nation’s largest supporters of climate denial research), as well as the Getty Foundation (their wealth largely based on oil money) and other funding sources, Muller set out to reanalyze all the temperature data by setting up the Berkeley Earth Surface Temperature Project.
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Although only 2% of the data were analyzed by last month, the Republican climate deniers in Congress called him to testify in their March 31 hearing to attack global warming science, expecting him to give them scientific data supporting their biases. To their dismay, Muller behaved like a real scientist and not an ideologue—he followed his data and told them the truth, not what they wanted to hear. Muller pointed out that his analysis of the data set almost exactly tracked what the National Oceanographic and Atmospheric Administration (NOAA), the Goddard Institute of Space Science (GISS), and the Hadley Climate Research Unit at the University of East Anglia in the UK had already published (see figure).
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Muller testified before the House Committee that: The Berkeley Earth Surface Temperature project was created to make the best possible estimate of global temperature change using as complete a record of measurements as possible and by applying novel methods for the estimation and elimination of systematic biases. We see a global warming trend that is very similar to that previously reported by the other groups. The world temperature data has sufficient integrity to be used to determine global temperature trends. Despite potential biases in the data, methods of analysis can be used to reduce bias effects well enough to enable us to measure long-term Earth temperature changes. Data integrity is adequate. Based on our initial work at Berkeley Earth, I believe that some of the most worrisome biases are less of a problem than I had previously thought.
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The right-wing ideologues were sorely disappointed, and reacted viciously in the political sphere by attacking their own scientist, but Muller’s scientific integrity overcame any biases he might have harbored at the beginning. He “called ‘em as he saw ‘em” and told truth to power.
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it speaks well of the scientific process when a prominent skeptic like Muller does his job properly and admits that his original biases were wrong. As reported in the Los Angeles Times : Ken Caldeira, an atmospheric scientist at the Carnegie Institution for Science, which contributed some funding to the Berkeley effort, said Muller’s statement to Congress was “honorable” in recognizing that “previous temperature reconstructions basically got it right…. Willingness to revise views in the face of empirical data is the hallmark of the good scientific process.”
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This is the essence of the scientific method at its best. There may be biases in our perceptions, and we may want to find data that fits our preconceptions about the world, but if science is done properly, we get a real answer, often one we did not expect or didn’t want to hear. That’s the true test of when science is giving us a reality check: when it tells us “an inconvenient truth”, something we do not like, but is inescapable if one follows the scientific method and analyzes the data honestly.
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Sit down before fact as a little child, be prepared to give up every preconceived notion, follow humbly wherever and to whatever abysses nature leads, or you shall learn nothing.