Bickmore on the WSJ response
[Via RealClimate]
Guest commentary from Barry Bickmore (repost)
The Wall Street Journal posted yet another op-ed by 16 scientists and engineers, which even include a few climate scientists(!!!). Here is the editor’s note to explain the context.
Editor’s Note: The authors of the following letter, listed below, are also the signatories of“No Need to Panic About Global Warming,” an op-ed that appeared in the Journal on January 27. This letter responds to criticisms of the op-ed made by Kevin Trenberth and 37 others in a letter published Feb. 1, and by Robert Byer of the American Physical Society in a letter published Feb. 6.
A relative sent me the article, asking for my thoughts on it. Here’s what I said in response.
Hi [Name Removed],
I don’t have time to do a full reply, but I’ll take apart a few of their main points.
- The WSJ authors’ main point is that if the data doesn’t conform to predictions, the theory is “falsified”. They claim to show that global mean temperature data hasn’t conformed to climate model predictions, and so the models are falsified.
But let’s look at the graph. They have a temperature plot, which wiggles all over the place, and then they have 4 straight lines that are supposed to represent the model predictions. The line for the IPCC First Assessment Report is clearly way off, but back in 1990 the climate models didn’t include important things like ocean circulation, so that’s hardly surprising. The lines for the next 3 IPCC reports are very similar to one another, though. What the authors don’t tell you is that the lines they plot are really just the average long-term slopes of a bunch of different models. The individual models actually predict that the temperature will go up and down for a few years at a time, but the long-term slope (30 years or more) will be about what those straight lines say. Given that these lines are supposed to be average, long-term slopes, take a look at the temperature data and try to estimate whether the overall slope of the data is similar to the slopes of those three lines (from the 1995, 2001, and 2007 IPCC reports). If you were to calculate the slope of the data WITH error bars, the model predictions would very likely be in that range.
Comparison of the spread of actual IPCC projections (2007) with observations of annual mean temperatures[More]
Cherrypicking data. Misusing graphs. Lack of proper error bars. Misunderstanding of statistics. Misleading rhetoric.
Are these the tools of legitimate scientists working to uncover the secrets of the world around us? Or are they closer to unethical lawyerly tricks to convince people?
Again and again, denialists use the same things when they publish. They chose the set of data that best fits their narrative – even though there are 3 major sets to choose from, each with their own strengths and weaknesses. They ignore error bars or statistics and use arbitrary start dates – trying to make the published data much more definite than real scientists feel comfortable with.
They make rhetorical appeals to things that have no scientific basis – there is a conspiracy. Of course, they themselves participate in no conspiracy. They are only publishing in the WSJ out of their own personal ethics. I wonder who is funding most of them?
The fact that the publishing requirements for the WSJ and a respectable journal are light years apart never enters into their pleas. The fact is that their arguments do not hold up under scientific review so publishing in the WSJ is all they have.
They do not care about affecting scientific change at all. They care about social change. They deny the science because its consequences interferes too much with their social views.
They just cover up their denialism in scientific terms. But the science they espouse just does not stand up to any real scientific scrutiny.
That is why deception is required and not too surprisingly the Wall Street Journal agrees.
I will add Bickmore’s blog to my newsfeed,thogh. Enjoyable read.


by
by
by
by 


by
by
by 
