Behavior definitions quantified:

• Abnormal Behavior – Normal behavior is all behavior that falls within one sigma* of the average (slightly more that 68% of all behavior).  Therefore abnormal behavior is almost 32% and includes Unusual and Errant behaviors.
• Unusual Behavior – That behavior which falls outside of two sigma; about 4.5% of all behavior, notable for its recognition as such by 90% of the population.
• Errant Behavior – That behavior which falls outside of three sigma; about 6% of those who display Unusual Behavior, that is, less than 0.3% of the total population.
• Errancy – the degree to which behavior errs or strays from the normal course or standards.  Always a relative measure, defined and bounded by the demographics of the specific population being measured.
• Behavioral Singularity – A singularity has an errancy of 1 (that is, 100%, or, “On Target”) because it belongs to no group – it is what it is.  An example would be Don Quixote charging a windmill.
• One – The virtual group of all Singularities is, by definition, unbounded – that is, infinite.  It contains the sum total of all behavior, for all individual behavior is, in the highest demographic resolution, inerrantly unique; that is, “1”.   :)* Simply put …

NOTE: The accuracy of an estimate is based on the sample size.  That is, you obviously can have more confidence in your estimate (or your prediction) if your sample size is 10% versus 3%.  REM: It is not an estimate if your sample size is 100% — it is FACT.  A KE is one (1) of a kind – a 100% “sample”.