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The general theory of probability is stated easily, so that any fool idiot could understand it. Let be an abstract topological hypocaustic infiniumial supreminalial ontological vector space admitting a Borelisable Lindfield-bounded, continuous antinondifferentiable superluminal trachyodermic space, and let the space be the space such that implies and which admits a homomorphic field onto the real line. We can then proceed to introduce the essential structure of probabilty theory.
edit Elementary Definitions
Definition: A probability measuration is a nonnegative nonunreal-valued measuration such that, given a premeasuration there exists a sequence with each and such that the sequence with and and a sequence such that where if and there exists and and if these limits are equal for all , the measuration is said to exist and is equal to the value of that common limit.
Definition: A probability space is a probabilizable space with a probability measuration : such that for any cardinalizable sequence with a triassic subsequence is lower bounded and converges smoothly to that bound.
Definition: A probable space is an -dimensional Personal space equipped with a nonzero unimaginative probability vector s.t. .
Definition: A probabilistic space is a probable space with a probability between 0 and 1.
edit Theorems of Pure Probabilty Theory
Theorem 1.3: Probabilities are additive
Proof: This follows directly from Theorems 1.1 and 1.2
The probability theoretic definition of probability can now be stated.
Definition: For any , the probability of Failed to parse (unknown function\copyright): \omega^\natural\copyright\Omega
with respect to this is the probability measuration .
edit Random Numbers
This defines what is known as a random number , as should be perfectly clear.
Definition 2.2: Let be random numbers. Then the Cauchy product is defined to be .
Proof: Define to be . The result is then apparent.
Theorem 2.4: A probabilizable, probabilistic space which is probable but not probeable can be probabilitised by a homeopathic homomorphism A, provided .
Proof: By Definition 2.2 and Theorem 2.3.
edit Applications of Probability Theory
The main purpose of probability theory is the creation of probability, the mathematical form of ignorance. Learning this theory actively destroys other knowledge. Statistical Thermodynamics is just one science has slowly evolved from a useful theory that people learned stuff from into a theory that actively destroys other sciences. Probability theory was there right from the start in quantum physics, which never stood a chance of making sense.
edit Lies and Damned Lies
edit More Probability Theory
A third purpose is the creation of more probability theory. Slowly, the elegant law of entropy ensures that probability theory will some day evolve into a meaningless jumble, and in turn absorb all the information it contacts. The run-away effect will, eventually, destroy the universe.
edit Unresolved Weird Stuff
A fifth purpose is to illustrate the biosynthetic Al Gore Ithm of fancy pants (sometimes refered to as "fancypants-mancy" by Gilbert Gottfried). As a corrolary to , primitive gamma-type computer lemonade in the form of Frank Zappa CDs should never be sold cut-rate. These can be found in the count bin of Walmarts. Of course this is in direct contradiction of the fourteenth Law of Thermodynamics and the run-away effect resultant of the third purpose of Probability Theory (above, left, then up some more). Quantum physicysts are currently baffled. so it just goes to show you...