Michael Crichton's Testimony....

Please read his entire testimony before the US Senate Committee on Environment and Public Works,
September 28, 2005.

To summarize it briefly: in 1998-99 the American climate researcher Michael Mann and his co-workers published an estimate of global temperatures from the year 1000 to 1980. Mann's results appeared to show a spike in recent temperatures that was unprecedented in the last thousand years. His alarming report formed the centerpiece of the U.N.'s Third Assessment Report, in 2001.

Mann's work was immediately criticized because it didn't show the well-known Medieval Warm Period, when temperatures were warmer than they are today, or the Little Ice Age that began around 1500, when the climate was colder than today. But real fireworks began when two Canadian researchers, McIntyre and McKitrick, attempted to replicate Mann's study. They found grave errors in the work, which they detailed in 2003: calculation errors, data used twice, data filled in, and a computer program that generated a hockeystick out of any data fed to it-even random data. Mann's work has since been dismissed by scientists around the world who subscribe to global warning.

Why did the UN accept Mann's report so uncritically? Why didn't they catch the errors? Because the IPCC doesn't do independent verification. And perhaps because Mann himself was in charge of the section of the report that included his work.

The hockeystick controversy drags on. But I would direct the Committee's attention to three aspects of this story. First, six years passed between Mann's publication and the first detailed accounts of errors in his work. This is simply too long for policymakers to wait for validated results.

Second, the flaws in Mann's work were not caught by climate scientists, but rather by outsiders-in this case, an economist and a mathematician. They had to go to great lengths to obtain data from Mann's team, which obstructed them at every turn. When the Canadians sought help from the NSF, they were told that Mann was under no obligation to provide his data to other researchers for independent verification.

Third, this kind of stonewalling is not unique. The Canadians are now attempting to replicate other climate studies and are getting the same runaround from other researchers. One prominent scientist told them: "Why should I make the data available to you, when your aim is to try and find something wrong with it."

Even further, some scientists complain the task of archiving is so time-consuming as to prevent them from getting any work done. But this is nonsense.

The first research paper I worked on was back in the 1960s, when all data were on stacks of paper. When we received a request for data from another lab, I had to stand at a Xerox machine, copying one page a minute, for several hours. Back then, it was appropriate to ask another lab who they were and why they wanted the data. Because their request meant a lot of work.

But today we can burn data to a CD, or post it at an ftp site for downloading. Archiving data is so easy it should have become standard practice a decade ago. Government grants should require a "replication package" as part of funding. Posting the package online should be a prerequisite to journal publication. And there's really no reason to exclude anyone from reviewing the data.

Of course, replication takes time. Policymakers need sound answers to the questions they ask. A faster way to get them might be to give research grants for important projects to three independent teams simultaneously. A provision of the grant would be that at the end of the study period, all three papers would be published together, with each group commenting on the findings of the other. I believe this would be the fastest way to get verified answers to important questions.

But if independent verification is the heart of science, what should policymakers do with research that is unverifiable? For example, the UN Third Assessment Report defines general circulation climate models as unverifiable. If that's true, are their predictions of any use to policymakers?