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Who invented and created spend money to save their bread daily trudge to work, and make some decisions. Not ours, but our two are linked and analogies.


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Full force punches and at the same time the existing postal and image of the world economy in which the person is no more than a sliver in the raging stream. Fish by accident, though.




15.12.2011

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These two areas, the knowledge and skill, almost unrelated. They involve very different, rather the opposite, methods. What's good for learning, it's bad for skills, and vice versa. But, somehow, by learning to understand almost always teaching knowledge. The man who remembers how and what to do, is not effective, a man who has skill, but can not explain, is effective. Most people think that the teacher, who teaches economics at the University, developed, and smart. (By the way what I think about university teachers do not have anything to Larisa molasses). A kiosk owner who earns 10-20 times more stupid and primitive. So far, the more it seems to me that the opposite is true. Stupid and sidereel law and order svu often limited to teacher, repeating memorized, others doubtful of the truth. One experience is more important than the extracted seven rules of wisdom. The Arabic saying He - a craftsman, in his work almost never work. By contrast, the kiosk owner is forced every day to solve new problems creatively, and who has not solved one of the problems have long lost their property. I was particularly touches so-called experts from newspapers such as "Kommersant-Daily". They are so smart that he had long to live on suze orman credit score the interest of millions of states. But for some reason still have to write their articles glubokointellektualnye to get a livelihood. As you know, if you are able to give accurate predictions in at least 51% of cases, you need to run at breakneck speed on a stock exchange or in the casino and become a millionaire instantly (of course, in dollars). Who pays the person who proves the accuracy of their predictions? Apparently, the expert predictions are justified by less than 50% of cases. Perhaps the experts need to use the guard board weather station, which came to his boss and suggested that, since the accuracy of weather forecasts is 40%, you need to give prediction opposite to that calculated - after which the accuracy of weather forecasts immediately jumped to 60%.

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