Your first thought is that I am drunk on Kool-Aid when you see this title. I am going to show you why I am so sure about this prediction. Your next question is why should anyone pay any attention to me about such a ridiculous prediction. The answer is that in 45 years in politics, I have never been wrong about an election call even when I was called crazy. That includes get elected to office to prove I was right about winning an election. See my biography for details. I have to be very sure to risk a 45 year reputation so remember that you read it here first.

The next question is how could I possibly be so sure when the polls are predicting the exact opposite? Because I know the polls are wrong since they are not properly taking into account the P.U.M.A. Factor. I have explained previously that the mere fact that the polls violently disagree with each other is proof of something seriously amiss with the polling models. See my article on The P.U.M.A. Factor. On November 1st, I posted an article entitled How Big is the P.U.M.A. Factor?

That article pointed out that, at the time I wrote it, it required only a total of 493,636 PUMA voters in North Carolina, Florida, Ohio, Virginia, and Colorado to produce a tie in the electoral votes. Add a mere 35,935 more in Nevada and McCain-Palin wins. At the time, I was almost ready to bet the ranch that there were 529,571 PUMA voters in those six states, but I waited another 24 hours to make sure. Now the trend is so clear that it is obvious to me that a McCain-Palin landslide is in the works. It is amazing how few people in politics never apply some fairly simple mathematics to see what is going to happen in the next election.

Let us begin by repeating the table showing how few PUMA voters are required for McCain-Palin to win from my previous article. That table listed all battleground states where McCain-Palin was less than 13 points behind in the Real Clear Politics averages in those states.

See the rest of the article for the tables and more of the article: The McCain-Plain Landslide

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