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To: Thane_Banquo
As a mathematician myself, I can confirm this would be a major flaw. Time Series Analysis 101 would tell you the importance of checking the order of integration of your data. For data following an additive random walk (i.e. tomorrow = today + some change), you have to difference the data.

As a mathematician myself, I can confirm that following your advice would be a major flaw.

If the sky isn't falling, then we don't need to pay as much money for climate research, and the climate "scientists" may see their pay drop. They seem to have chosen profits over integrity, which could be a terrible error if they're actually right despite their sloppiness [I'd put in a "boy who cried wolf" picture, but I have a one fairy tale per post limit].

7 posted on 04/13/2011 12:01:47 PM PDT by Pollster1 (Natural born citizen of the USA, with the birth certificate to prove it)
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To: Pollster1

Good point. I guess it depends on what your objective function. If your plan is to maximize the amount of tax dollars you receive, then bad math is better than good.


10 posted on 04/13/2011 12:11:36 PM PDT by Thane_Banquo (Mitt Romney: He's from Harvard, and he's here to help.)
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