#### RainbowSingularity

**Valued Senior Member**

Quasi-empiricism in mathematics

the value of the more frequent results gives more value to those numbers in a mathamatical equation.

if deriving a value of the results as a sum of the function. not all numbers have equal value of probability based on the sum of results of numbers chosen.

is it possible to write the equation backwards to derive a statistical value of probability based on the frequency of a number being selected ?

if so, can this be programed in to a computer to have an algorythem that selects numbers in a manner that is equal to all number values given the results of statistical probaility gives rise to an unequal result or variance ?

metaphorically speaking turning the bell curve into a orb/circle that has all results equal to the position of the point of slection ?

to illistrate my concept which is probably very very difficult for many to grasp.

when you have a set of values arrise from the probability being genericaly large(smaller)(say 1000 numbers/genes genomes etc what ever...)

when put through a machine for selection do some numbers come up more than once and some never ? as a result of that process.

is the end result as a value equal to the probaility being equal from the start ?

(this is an open philisophical(loose) debate about random number generation via statistical probaility methods and the values they present)

discuss...

the value of the more frequent results gives more value to those numbers in a mathamatical equation.

if deriving a value of the results as a sum of the function. not all numbers have equal value of probability based on the sum of results of numbers chosen.

is it possible to write the equation backwards to derive a statistical value of probability based on the frequency of a number being selected ?

if so, can this be programed in to a computer to have an algorythem that selects numbers in a manner that is equal to all number values given the results of statistical probaility gives rise to an unequal result or variance ?

metaphorically speaking turning the bell curve into a orb/circle that has all results equal to the position of the point of slection ?

to illistrate my concept which is probably very very difficult for many to grasp.

when you have a set of values arrise from the probability being genericaly large(smaller)(say 1000 numbers/genes genomes etc what ever...)

when put through a machine for selection do some numbers come up more than once and some never ? as a result of that process.

is the end result as a value equal to the probaility being equal from the start ?

(this is an open philisophical(loose) debate about random number generation via statistical probaility methods and the values they present)

discuss...

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