Those aren’t my words — it’s the title of a 2005 article, brought to my attention by Cal Beisner, which uses probability theory to “prove” that “…most claimed research findings are false”. While the article comes from the medical research field, it is sufficiently general that some of what it discusses can be applied to global warming research as well.

I would argue that the situation is even worse for what I consider to the central theory of the climate change debate: that adding greenhouse gases to the atmosphere causes significant warming of the climate system. Two corollaries of that theory are that (1) the warming we have seen in recent decades is human-caused, and (2) significant warming will continue into the future as we keep using fossil fuels.

The first problem I see with scientifically determining whether the theory of anthropogenic global warming (AGW) is likely to be true is that it is a one-of-a-kind event. This immediately reduces our scientific confidence in pinpointing the cause of warming. The following proxy reconstruction of temperature variations over the last 2,000 years suggests global warming (and cooling), are the rule, not the exception, and so greenhouse gas increases in the last 100 years occurring during warming might be largely a coincidence.

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