Great Moments in "Science"
You know that relative of yours, who last Thanksgiving called you anti-science because you had not fully bought into global warming alarm?
Well, it appears that the reason we keep getting called "anti-science" is because climate scientists have a really funny idea of what exactly "science" is.
Apparently, a number of folks have been trying for years to get articles published in peer reviewed journals comparing the IPCC temperature models to actual measurements, and in the process highlighting the divergence of the two. And they keep getting rejected.
Now, the publisher of Environmental Research Letters has explained why. Apparently, in climate science it is "an error" to attempt to compare computer temperature forecasts with the temperatures that actually occurred. In fact, he says that trying to do so "is harmful as it opens the door for oversimplified claims of 'errors' and worse from the climate sceptics media side". Apparently, the purpose of scientific inquiry is to win media wars, and not necessarily to discover truth.
Here is something everyone in climate should remember: The output of models merely represents a hypothesis. When we have complicated hypotheses in complicated systems, and where such hypotheses may encompass many interrelated assumptions, computer models are an important tool for playing out, computationally, what results those hypotheses might translate to in the physical world. It is no different than if Newton had had a computer and took his equation Gmm/R^2 and used the computer to project future orbits for the Earth and other planets (which he and others did, but by hand). But these projections would have no value until they were checked against actual observations. That is how we knew we liked Newton's models better than Ptolemy's -- because they checked out better against actual measurements.
But climate scientists are trying to create some kind of weird world where model results have some sort of independent reality, where in fact the model results should be trusted over measurements when the two diverge. If this is science -- which it is not -- but if it were, then I would be anti-science.