How Š-ŔÉŚ™ Generates US$ 1039 Trillion by 2080
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Below we see a simple diagram of a bath tub in which the amount of water flowing into the bathtub is equal to the amount of water flowing out. (Note the out-flow at the bottom is 10x magnification.)
Next we see that if 90% of the water was recycled - the total amount water enjoyed by the bath increases from 80 to 152 Gallons.
Of course in this case the water would overfill and spill onto the floor, which is not desired.
But what if we exchange the water for money?
Next, we see the same situation but with money.
In 2024 a network of businesses has $6.32 billion in savings and revenue (Š & Ŕ) of which 90% is spent on goods and services from other businesses or personnel in the same network.
Which at an 'É' (recycle-Éfficiency) of 90% increases the cash flow as follows;
The initial $6.32 + the recyled $5.68 billion = $12 billion.
However for this exercise, for History 3 (the simulation we are analyzing), we report only the pre Śpin income, which when some other items are added and taken away equals $5,685,975,000.
We will see this figure appear as the first entry on the 2024 to 2080 History 3 cash flow statement presented shortly
Now we apply Śpin (Ś) to the 2025 figures . As before instead of spending the money once a year, we spend it twice creating $14.89 billion in cash flow. Plus, critically, $7.10 billion remains at the end of the year, and is transferred to 2026, this is called Šavings (Š) or sometimes The Law of Conservation of Revenue
The following year (2026) Śpin increases to 3, so we spend the money three times in a year creating $26.85 billion.
Note the figures are effected by aditional in and out flows and they wront tally without them. To see the additional 'in and out flows' go to: 11.11__S-RES__BASIC
Now let us look at this on the spreadsheet
To download the spreadsheet follow this link ; Download Spreadsheet 8.62b .
(You may find your anti virus warns you not to open this, you may ignoor this warning, or contact us and we can email it to you, either way the spreadsheet is important.)
Below we see The Š-ŔÉŚ™ Calculator in Year 1 (2024)
Revenue and Savings in red x 90% É x Śpin 1 = $5.68 Billion (USD), which takes 365 days.
This $5.68 billion is divided as Ť (tenders) between 2,048 businesses who each receive an average of $2.77 million.
At the end of the year, the $5.68 billion in the networks central bank converts to Š (savings) to re-emerge as cash flow in 2025
Next, we see year 2 savings and revenue are $8.56 billion and Śpin 2 forces all the cash flow to be spent before 11th July 2025.
É is now 91%, so 91% of the cash flow remains in the central bank, transferred from one network company to another, and another, in a process called The Sienna Equilibrium. (a next-generation spreadsheet for this is in progress.)
On the 12th of July, the cash flow remaining in the bank, now $7.75 billion is again distributed to the now 4,096 companies averaging $3.63 million each, to be spent before the end of the year, again with an É of 91%. At which point $7.09 billion remains in the network central bank and it converted to Š (savings) in 2026.
Essential to know, the businesses in the network use the Ten Technologies software to set prices and handle all but petty cash accounting. There is a massive amount of detail for this software.
Now we can really start to get a handle on the Š-ŔÉŚ™ process and see its magic.
Moving now to 2032, we see É is now 99% (which may be higher than can be achieved, but with 8 years of practice, we would get close).
With an É of 99%, the amount of cash flow lost to É (spent on raw materials, goods and services from companies outside the network.) is minuscule.
Note the Spend By Dates, the initial cash flow is spent in the first 42 days, the second Śpin is also 42 days then; 41, 41, 41, 40, 40, 39, 39 days. Eight Śpins generating $106 billion in cash flow, and about half that in GDP.
This figure is then halved because of the CFV (Cash Flow to GDP Variable) at 50% the CFV considers the GDP double-counting problem presented in David A. Moss's; A Concise Guide to Macroeconomics.
Like Einstein’s cosmological constant, this may seem unnecessary, but in the end game become necessary.
In this year, 2032, we are now dealing with 24,576 businesses in the network, each on average with 32 personnel creating 786,432 very high salary Jobs. (Before the many allocations the average wage plus bonus is about 80 times the average income of a Malawian. (when calculated using World Bank 2019 Malawi GDP per Capita as income.)
In 2048 we move É to 99.5% - now the cash flow is circulating every 14.5 days.
I stop incresing Śpin at Śpin 32 in 2055, and we see Śpin 32 with an É of 95.5% continue untill 2080 at which point cash flow is $8,204,082,483,521 and GDP is $4,102,041,241,761 in the year 2080. We will see this figure discounted later in this presenation.
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So far, we have shown the Š-ŔÉŚ™ powered Cash Flow in the years; 2024, 2025, 2032, 2048 and 2080.
Next, we work from the original spreadsheet tab: 'H3) ŠÉŚ-v5 | S-World History 3b' which amongst other things gives us a cash flow figure each year from 2024 to 2080.
These 56 cash flow totals are then copied to spreadsheet tab: H3) Total Cash Flow & GDP
After we add it all up and cash flow equals +/-$140 Trillion, but for this figure to have any meaning we need to discount it.
The discounting method I have used is simply to change the 4 growth variables at the top of the H3) ŠÉŚ-v5 | S-World History 3b spreadsheet to Zero, which gives us a figure of $23,321,291,435,916.
Next, we apply the CFV of 50% making $11,660,645,717,958.
That is Malawi's discounted GDP from 2024 to 2080 as it climbs from zero to one percent of GDP.
Critically, History 3 only includes some token trade figures, so in terms of global expansion/implementation, it's a non-zero-sum-game, almost all of that GDP is made and then consumed in Malawi, Malawi is not competing with South Africa, Tanzania, or anywhere else. And because of this, the model could be repeated over and over in different locations, just so long as each location can find a persistent buyer for at least one suburb.
At the very least, we should try for another 24 countries in Africa, but ideally every country in Africa. Add to that 25 Grand Śpin Networks in US states and other countries in the Americas, 15 in Europe, 15 in Asia and 10 others including Australia and New Zealand, making 99 others Grand Śpin Networks.
Š-ŔÉŚ™2021—⌂≥ÉL.
The idea here is that we now throw away all revenue except the sale of city suburbs and consider the buyer for a suburb. If they buy a suburb at $1 billion a year plus 5% PA escalation, for at least 16 years then that revenue multiplied by Š-ŔÉŚ™ creates determined cash flows, like we see below, made from spreadsheet tabs S-World History 3 ⌂ = 100% and Total Cash Flow & GDP ⌂ = 100%.
There are two different types of determined economics at play here, first is for the buyer of a Suburb, second is for all the businesses in the Suburb. Both are 'combinatorial' - meaning they can interact with each other and other technologies and become far more than the sum of their parts)
Because the cash flow from the City Sale is incresed by up to 30x by Š-ŔÉŚ™ and is then distributed as Ťenders to the S-World businesses within. This income in all but the rarest of cases be sufficient to pay all bills, wages and bonuses.
Over the last 12 months, a lot of time has been devoted to making this system determined, and the following equation has been created for this purpose ⌂≥ÉL.
The equation reads as follows;
⌂ = The City/Suburb Sale
≥ = Must make the same or more than
É = recycle-Éfficiency
L = Leakage
Click here for some roughly written but all the same important Underlying Assumptions.
Let us take a moment to understand the economics of Śpin.
New section needs completing that will discuss the case of TWF (The Window Factory - a hypothetical construction industry company) in 2025 Śpin 2 and 2055 Śpin 32.
Labour is by far the easiest to explain/justify.
Labour receives 25% of cash flow...