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Exact Pi a Solution to
Design Flaws
Could pi actually be equal to three in a more perfect
mathematical world?
Actually it may be that numbers like pi are the whole numbers, while what we think of as whole numbers, like two and four, are not.
A number is an integer between two boundaries. However, the characteristics of that
integer is not represented by the boundaries. In many cases the bounds of an integer
are invisible or assumed.
The problem is not in the math but in the organism attempting the math. In the case of human beings the numbers are representative of the psychological concepts of the human being, both as an individual and as a part of a collective.
Why, then, is mathematics so effective at solving so complex and diverse applications such as trigonometry and calculus? The answer may be that they are not effective at all.
By using what mankind conceives as numbers, the results may actually be nothing more than mere approximations. It may seem to be a perfect world of human
synthesization, but it is flawed.
It is the seemingly insolvable that may be the correct numerics while that which is solvable by humans is in fact severely limited. In fact, it may be that heretofore the thinking has been that the
integer between it's bounds is a filler between two markers, that it is flat. It may instead be that it is curved and therefore when viewed flat, when trying to take the
circumference of a cylinder and making it a line to a measuring rule, than the correct rule would
involve perspective since it measures a volume.
Therefore, pi is equal to three because the straight rule must represent two vanishing points along it's line, or two
infinite spikes at the boundaries of the integer. Therefore pi is a whole number which cannot be represented by the
fictitious concept of equal graduations. It is one, two and three and so on that are the
truly insolvable numbers because they only exist in the human imagination.
In order to do true math, you have to have more than a human mind. But once you get there, perhaps with appropriate computational devises, at last the impossible will become doable such as accurately calculating in economics, or reasonable engineering, using celestial navigation to move an object without a propulsion devise, designing vehicles that don't break down,
architecture that can withstand millennia and so on.
So you see, kid, it's about time you learned to count.
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The problem is
not in the math but in the organism attempting the math.
Copyright (c) 2005 by Paul A. L. Hall. All rights reserved.
By using what mankind conceives as numbers the results may actually be nothing
more than mere approximations.
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