This method appeals to those that firmly believe in "pure luck", or
"random faith", because it is directly related to the concept of chance.
Stated more formally, this is a process whose outcomes follow no predetermined
pattern. However, it does follow a probability distribution pattern; thus, the relative
probability of a determinate outcome occurring can be approximated or calculated.
Yet, most believers in "pure luck" or "random faith"
follow the conviction that we lack the ability to influence the outcome of most of
life's events, such as selecting winning lottery numbers. They, also, believe that
there are no lucky numbers or bad numbers-for any one number is as good as any other number; and, each and every
individual share an equal chance to arriving at the same goal or common objective.
The disadvantage of this system, as apply to the state lottery, where only a
predetermined amount of numbers constitute the available sampling pool of numbers,
is that pure randomness does not occurs. Steps must be taken to prevent certain mathematical
effects, such as a disadvantageous repetition pattern of numbers, to ensure true random
selection of numbers. This suggests, in other words, that in order to have true randomness,
there must be an infinite (very large) expansion of the numerical data being used.
Some of these mathematical effects, or problems of random selection, are addressed in
commendable details by William Atwood in his book
The Lottery Solution.
However, (to benefit those that endorse pure "random luck") it must be noted
that once steps are taken to ensure true random selection, such simple act of intervention
put us again at the helm (in control), and directly influencing the outcome of an event.
Clearly, all that can be done is to come as close as possible to pure randomness; and,
at such point we'll have an ideal numbers selection method for those cheering for pure
This method is based in the idea of taking partial control of a possible outcome.
The first step is to control the outcome to ensure true randomness. The next step
is to implement 'Quality Control' conditions under which the random numbers will be
screened, before they can be considered of useable value. Here sound strategies,
statistical analysis, and researched computations will be used to intelligently
discriminate among randomly generated numbers.