If 95% Of Climate Models Can Not Be Used To Predict Climate Why Are We Using Them To Set Government Policies?

CMIP5-90-models-global-Tsfc-vs-obs-thru-2013aRecently I have been pondering whether climate science is a valid science theory if it is consistently wrong. If we look at the definition of science from Wikipedia we get this definition.

Science (from Latin scientia, meaning “knowledge”[1]) is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe.[2][3]

When we look at Dr. Spencer’s graph shown on the right we can see that over 95% of the climate models are wrong. If the late Nobel prize winning physicist, Richard Feynman, was looking at that chart he probably would say this.

It doesn’t matter how beautiful your theory is, it doesn’t matter how smart you are. If it doesn’t agree with experiment, it’s wrong.

I will go one step further. You do not have a valid climate science theory until you successfully predict or explain something non-trivial about the global average temperature. Until then you are just a technician collecting data. The average person expects that when they are told that a government policy is based on science, it is based on science that has successfully predicted something. In the case of climate science we find that government policies are being proposed because “ninety-seven percent of climate scientists agree that climate-warming trends over the past century are very likely due to human activities”. If 95% of the climate models are wrong how can climate scientists say climate-warming trends are likely due to human activities? Where is the science that is successfully predicting something? Are we to infer that since the surface temperature stopped rising during the past decade that human activities stopped rising too? When you say that climate-warming trends are very likely due to human activities you did not leave any wiggle room for www.climate.gov to argue that natural climate cycles slowed down the rise during the past decade. Until the climate scientists can predict something non-trivial about the global average temperature it sure looks like we have put the cart before the horse.