The law of large numbers states that if we repeat over and over, any random event, and if we do it many times over, we find that it will eventually converge to a well-defined probability.
For example, if we were to flip a coin a 1000 times, then eventually we would either land on heads or tails nearly 50% of the time, as we converge toward our mean value of 0.50.
Random events are at first sporadic, yet in time they become quite predictable. We know that an event is of random occurrence by observing the distribution of random outcomes.
In terms of Bible Code, if our goal is to determine what is purpose from that which is random, within a block of text, then we must tally each possible match and divide by the total number of probable matches. We find that not all terms are equally significant.
For example, using the Wheel of Formation, we find many instances of the same words. The reason why this is happening can be best illustrated by a tree graph. However, tree graphs grow exponentially and can become quite large, therefore we will use a Galton Board.
This image depicts a physical model used to demonstrate the law of large numbers in action.
As you can see, the most probable outcomes jam toward the center of the device, and the least likely outcomes end up in the farthest left and rightmost columns.
If our random event occurs independently enough times in a row, eventually we begin to see a beautiful “bell curve” shape emerge or what is called its normal distribution.
What we find is that random events are predictable and that any event outside of this norm is unlikely to occur many times over without some sort of outside interference.
Thus, we arrive at a distinction between what is purposeful and what is random in nature.
We learn that smaller terms are more likely to occur randomly, because the total possibilities increase as our need to be correct n amount of times in a row decrease.
Therefore, our main objective should be to discover terms of significant length (approximately 6 or more characters in size) and to disregard any term that produces a random result.