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| quote: | Originally posted by St_Andrew
i have already read it 
but as it doesn't really disagree with my theory, that even on a macro scale is it possible to predict things, THEORETICALLY. but yes i realize that it is highly unbelievable that we could ever do that, but i'm speaking theory now... got some link that kills that theory, i would gladly read it |
Individuals are the "micro scale" of society.
Societal trends - unemployment, poverty, crime, GDP, stock trends - they might be predictable in a long term sense - but those are all the results of individual variances or choices. 
Even chaos theory, however, does not apply long-term trends as being completely deterministic - its application is to determine things on a micro scale to a sufficiently high probability that you are "beating the odds" so to speak - and on a very long (infinite) timeline, you will always "win" when you're beating the odds.
Think casinos - they know that, in the long term, they will make money. How? They can't predict which individuals will win money and which will lose. The slot machines, the blackjack games, they are all random individual instances. But the casino knows that in general, the odds are against their players and that the house will come out ahead. That is a very elementary application of statistics - long-term forecasting.
Long-term forecasting is not infallible - some casinos have lost money due to simple bad luck. But short-term forecasting, now that is a science that's been studied for years and years and even though we can always get closer, we can never, even in theory, get it perfect. 
Edit: I should put it this way. It's like a limit, in calculus. When we say that the limit of a function is 1, that does not mean that the function can ever reach 1, even theoretically. If we take 1 - exp(x), we can never actually come up with a value of x that will make the function equal to 1. This is a mathematical construct, I realize, but when you read about chaos theory and long-term forecasting, that's how it works. You set a threshold, you say that okay, once we know something to 95% certainty, then that's good enough. But in order for the trapped-specimen analogy to work, we have to assume that 100% certainty is possible, and it's not - we can get ever closer to that 100% by knowing more, but we can never know everything, and hence never reach that 100%.
In fact, when you try to forecast (predict), present-state data is not enough. You need past-state data. The more you have, the more accurate your prediction is. But if we assume that the universe is infinite (not 5000 years old ), we could never have enough past-state data to do the prediction!
If something isn't 100% predictable, there must be randomness somewhere, which is what I call choice! 
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Last edited by DigiNut on Jan-02-2004 at 16:36
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