Ringing the Bell
The Bell Curve also known as Normal (or Gaussian) Distribution is the absolute ruler of the Generic world, even more so than in the statistical world. This "rule" is so pervasive that even "random" data arranges itself within this form. We find this distribution reflected in any assemblage of data whether it is arranged to denote size, form, usage, qualities, etc.
Frequency of usage defines the internal flow patterns of our traffic trees as well as defining the external organization of these dendritic structures. The fact that the "form" of our data always assumes this elegantly symmetrical shape reveals that this "geometrical principle" is deeply embedded in both the phenomlogical world as well as the mathematical world. We can also use this same distribution to delineate "frequency of error" or the "fitness" of data a step further, we can define a parameter "set" or template for a particular data search and arrive at an answer that is plus-or-minus correct. This strategy is concurrently known as the "fuzzy logic" of "fuzzy sets."
The Bell Curve not only turns statistics into comprehensible groups, it could also be looked as a primary search algorithm for both present and future usage, because the Bell Curve generates generic groups within each larger group of information.