Cold weather is doing more to raise questions about the scam of global warming than all the appeals to scientific accuracy and reason. Even people who don’t understand the science recognize the illogical aspects of arguing that colder temperatures are due to warming. This is causing advocates of human caused global warming to take increasingly extreme and ridiculous positions to defend the indefensible. They are making more strident calls for action accompanied by claims the tipping point, beyond which action is too late, is ever closer. Politicians are warned not to let economic woes divert them from saving the planet.
The perfect scam, pay more in taxes to the government, so government scientists can pretend to control the weather. How dumb are you? We are about to find out.So how did I get here, simple really, Al Gore forced me to look into this whole area. As an engineer for quite some time, science is not foreign. Computer models were used frequently in my work. We had a technique of using the concocted model to predict known behavior. The equivalent for the AGW hoax would be to set the computer models for say the year 0 and run them forward for 2,000 years and compare their results with the known temperature record. There is a reason they won't do this, and it does not bode well for the models. After some research into what was going on, I found myself firmly in the camp that AGW doesn't exist.
OK, out with the truth, the UN IPCC GCM computer models are widely off when used to attempt to predict the past temperature records. Who knew, and isn't that the numb of the problem with the press?
As an engineer, there is another way to use computers to try and predict the future of things like temperature of planet Earth. That method attempts to find patterns in observed data, most science and engineering types already know that natural things are rhythmic. The reasons may not be known, but the patterns are there. Sunspots follow this form, starting with the 11 year sunspot cycle and so on. By identifying mathematical patterns within the data and projecting these patterns into the future, then using statistics and empirical methods to try and figure out what may happen in the future is usually fairly accurate. And yes it can be back dated and used to predict the past with some degree of high accuracy.
So why isn't the far more accurate methods used to try and divine the future? I leave that to the reader to figure out.
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