“In accordance with Bayes’ theorem, prediction is fundamentally a type of information-processing activity – a matter of using new data to test our hypotheses about the objective world, with the goal of coming to truer and more accurate conceptions about it.” Nate Silver
I like Nate Silver and I feel bad about criticizing his book “The Signal and the Noise”. But after reading his global warming chapter twice through I have to admit that he deserves the criticism. Without a doubt, when he writes about the physics of climate change for the most part he is spot on. And I applaud his effort to try to understand it. However, my critique is technically valid, no apologies there; Silver blew his Bayesian analysis. He missed a perfectly good opportunity to contribute to a reduction of the noise level of the discourse increasing it instead. This is exactly the goal of the fossil fuels industry. So long as there is lots of noise, nobody sees the signal. I sent a draft to Silver and asked for comments so he has had a chance to defend himself or do the mea culpa. He did not respond so my conscience is clear. The mistakes he makes in applying Bayesian analysis to the global warming problem include:
- He uses false new data introducing misinformation, which has been comprehensively debunked. See ref .
- He ignores true information.
- He assumes that the climate system is memoryless.
- He only applies the analysis to the IPCC consensus hypothesis and not to the myriad denier hypotheses.