Even Deeper Dive · Primary sources

The formula, annotated.

The Payment Algorithm deep dive shows you the shape — good minus harm, open and weighted. This page shows you the actual machinery: the published equation, every variable, every dial, and a worked calculation you can check by hand.

Provenance

Where this comes from

What follows annotates the Net Benefit Reward Algorithm Proposal, version 7.1 — the last iteration the Copiosis project published, distributed as an open technical document and explicitly marked as superseding every earlier version. The proposal was open-source by design: anyone could read it, critique it, and propose changes.

Everything on this page restates that published material in fresh words and notation. Where the historical record is ambiguous or incomplete, we say so rather than smooth it over.

The equation

NBR, in one line

NBR= (ra·loge(1+BeneficiariesProducers)) · [(Ccs·cs)+(Ccb·cb)+(Ceb·eb+Chb·hb)]
Production Demand BalanceConsumer BenefitUniversal Benefit

Read it as a sentence: the reward equals a sustainability-and-reach multiplier, times the sum of what consumers gained and what the world gained. Three structural choices do most of the work:

The inputs

Every variable, defined

VarNameWhat it measuresScale
raResource abundanceSustainability: the rate resources are consumed versus the rate they're replaced over the measurement window. Renewable, plentiful inputs score high; depleting scarce stocks scores low.0 → no upper bound
loge(1 + B/P)Social impactReach: how much of humanity benefits, per producer involved. The log keeps huge audiences from producing runaway numbers; the +1 keeps small audiences from zeroing out.0 → damped
csConsumer satisfactionThe subjective half of consumer benefit: what the people served say they got — asked directly, not assumed by a seller.−1 → +1
cbConsumer benefitThe objective half: science's best measure of what the product or service actually did for its consumers — health, time, capability, safety.−1 → +1
ebEnvironmental benefitDid the result leave the environment more life-supporting or less? Regeneration scores positive; pollution and depletion score negative.−1 → +1
hbHuman benefitDid the result make humanity as a whole more resilient or less? Think knowledge, health infrastructure, durable capability — or their erosion.−1 → +1
Ccs, Ccb, Ceb, ChbCoefficientsThe visible dials: adjustable weights on each benefit term. This is where a society's values enter the math — in public, subject to the citizen-jury process, not hidden inside prices.set openly
v7.1 deliberately made every fine-tuning element a coefficient (a multiplier you can see) rather than a denominator (a divisor whose effect is hard to reason about). Same math, radically better legibility — a small change that says a lot about the design goal: an economy ordinary people can audit.
By hand

A worked calculation

Take the water-filter designer from the Payment Algorithm page — a low-cost filter giving a small town clean water. Here's the same story with numbers. The figures are illustrative (and we set every coefficient to 1 for clarity); the arithmetic is the real v7.1 structure.

Production Demand Balance
Resource abundance — mostly recyclable materials, modest energyra = 1.2
Reach — 2,000 townspeople served by a team of 4loge(1 + 2000/4) ≈ 6.2
PDB multiplier1.2 × 6.2 ≈ 7.4
Benefit sum
Consumer satisfaction — the town loves itcs = +0.9
Consumer benefit — waterborne illness measurably dropscb = +0.8
Environmental benefit — less fuel burned boiling watereb = +0.3
Human benefit — a replicable design others can adopthb = +0.4
Bracket total0.9 + 0.8 + (0.3 + 0.4) = 2.4
NBR 7.4 × 2.4 ≈ 17.8 → a sizable, ongoing reward

Now poison the story: the filter housing turns out to leach a toxin. Satisfaction stays high for a while (cs = +0.9 — people don't know yet), but measured consumer benefit flips to cb = −0.5, environment to eb = −0.6, human resilience to hb = −0.2. The bracket becomes 0.9 − 0.5 − 0.8 = −0.4 — negative, so no reward at all, no matter how big the multiplier. Popularity cannot outvote measured harm: that's the −1..+1 scales and the additive bracket doing exactly what they were designed to do.

Iteration

How the formula evolved

Version 7.1 didn't appear fully formed. The published changelog from 6.1 to 7.1 reads like any healthy open-source project's — and that's the point. Highlights of what changed, and why it mattered:

Notation drifted a little across the project's published materials — older tables label the objective consumer term co where the final formula writes cb, a rename the 7.1 changelog records explicitly. We flag it because primary sources should be reported, not retouched.
Being honest

What this page can and can't claim

Where this stands. v7.1 is a published proposal — a serious, versioned, open specification of how rewards would be computed — not a system that has run against a real economy. Determining input values was described by its own authors as "more art than science," a living process refined conversation by conversation. No live implementation of Copiosis exists. What the formula demonstrates isn't a solved economy; it's that "reward follows benefit" can be stated precisely enough to be criticized, tested, and improved — which is more than most economic ideals ever attempt.
Keep exploring

Related reading

Keep going

Now see it in motion

A formula is a snapshot. The system around it — juries adjusting the dials, rewards flowing to whole supply chains — is where it comes alive.

Who runs itBack to Deep Dive
This is not an official Copiosis site. It's an independent project.