The ultimate Source of what the Copiosis NBR algorithm is and how it works. Features detailed discussions of how Copiosis uses this algorithm to measure and reward Net Beneficial Outcomes. If you’re wanting to know how we can reward individuals for their actions, this is the document for you.

supersedes previous versions.

Modifications between v6.1 and v.7.1 as Wednesday, October 31, 2018

• Changed Consumer subjective benefit to Consumer satisfaction measure to better reflect the assumed causality of our measuring process.
• Added a new constant and variable to replace social impact Log e
• Changed Consumer objective benefit to consumer benefit
• Combined the social impact variable and the consumer producer ratio, expecting social impact and the consumer producer ration measures the same things and are therefore duplicitous

Previous Modifications:

• Significantly changed the entire to address inconsistencies in variable names, to organize variable differently to account for variable importance and to make the algorithm more intuitive.
• The Resource Abundance Variable is now known as “ra”
• The Producer Population Variable P and the Consumer Demand Variable D have been incorporated into the new Consumer Producer Ratio c/p
• The Social Benefit Variable “S” was renamed Social Impact Variable and assigned a new variable “si”
• The Consumer Subjective Satisfaction Variable Ps has been renamed Consumer Subjective Benefit and reassigned the variable “cs”
• The Consumer Objective Benefit Variable Po has been assigned the variable “co”
• The Environmental Impact Variable “Se” has a new variable “eb” and has been renamed Environmental Benefit Variable
• The Human Impact Variable “Sh” has a new variable “hb”
• The Social Impact Variable has been moved into the “Production Demand Balance” (PDB) portion of the algorithm. This ties social impact to economic efficiency instead of having it a part of “Consumer Benefit”
• A_Max has been eliminated from the algorithm.
• Fine tuning elements for each section have been eliminated.
• The Environmental Benefit section of the algorithm is now called the Universal Benefit section
• All PDB Variables are now multiplied together instead of added together. This makes each variable more impactful to the whole algorithm.
• Additionally, the PDB section is now multiplied against the Consumer Benefit and Universal Benefit sections so PDB has more influence on the algorithm.
• All fine tuning elements are now coefficients instead of denominators. Making it easer to understand their influence on benefit variables.
• The M₁ fine tuning variable is now Ccs 
• The M₂ fine tuning variable is now Cco 
• The M₃ fine tuning variable is eliminated as the environmental impact variable is now in the PDB
• The M₄ fine tuning variable is now Ceb
• The M₅ fine tuning variable is now Chb
• Eliminates the E (effort) variable
• Changes operators in the C_PDB expression from subtraction to addition
• Changes operators in the Consumer Benefit section to addition

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