Benchmark Index interpolate to function is a hill graph.
The Benchmark index represent the percentile of pass rate incl. Population, Intelligence quotient, Examination score to Finance credit etc.
From there we know the population is a hill graph and could never represented in arithmetic numbers but benchmark index.
The default value is the extreme, and the mean value is the mainstream. For any Holocaust cases, we know there is a default value killed number and the mean value killed number.
The deviation between default value and mean value called crest height. The crest height is proportional to the total benchmark numbers.
Crest height represent the tolerance i.e. The deviation, in terms of percentage.
From the limit of Crest height, the required benchmark numbers can be determined. So we will able to find out the loss value, before and after, in terms of percentage. Based on assumption that mainstream will remain constant before and after, from Chaos Theory.
To achieve minimal tolerance, we need to expand the time frame to include more mainstream so as the benchmark number, also make itself a damping. Application for Chaos Theory, there is a guarantee that mainstream will always remain constant, if there is guarantee victory, called Rocky Effect, to uphold anything what is confirmed and assured into equation of fighting. The increased of benchmark number will beating up over the mainstream constant i.e. mean value in long run.
Rocky Effect can be embedded into the Census of a Country, Finance Credit, Manufacturing Quality, Logistic schedule etc. to minimise the losses in long run.
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