Keep Money, Add a Second Ledger

Part 16 ended Book Two looking up at the universe. Book Three, Building it, starts back on the ground, with the plumbing.

There’s a sentence in Part 5: Every Town Can Own Its Own Power Plant and Chip Fab that has been bugging me for a while.

“So when one community has a surplus and another has a shortfall, resources flow on request. No central source needs to decide who gets what.”

Flow on request. How, exactly?

In my roadmap, Plan for the Bad Transition, I did it again. In the last stage, a network of resilient communities is “connected by trade in information and resource surplus rather than wages.”

What information? Traded how? Through whom?

In an earlier draft of Part 5, I even promised an answer: “I’m working on what I imagine to be the information economy to solve for how this information would trade. Stay tuned for that.”

This is that: the plain-English version of my whitepaper, The Information Economy, first published October 3, 2026.

The short version: keep money, and add a second ledger beside it. One that counts the physical things a town has, makes, uses and loses, so surplus can find the places that need it.

What money can’t see

Money is an information system. It records who owns what, and prices tell people what to make. For scarce goods, it’s the best system we’ve ever built.

But it’s a poor one for the three things a world of machine labor most needs to manage: physical stocks (water in the aquifer, grain in the silo), physical flows (what comes in, goes out and leaks), and costs nobody pays, like pollution and wear.

And our main dashboard, GDP, makes it worse.

Simon Kuznets, who built America’s first national income accounts, warned the Senate in 1934 that “The welfare of a nation can, therefore, scarcely be inferred from a measurement of national income” (National Income, 1929–1932).

For this series, three blind spots matter most:

• It counts flows, not stocks. Cut down a forest and GDP goes up. The missing forest never shows up.
• It shrinks as things become free. When an encyclopedia goes from a $1,000 set of books to a free website, GDP falls while access explodes. An economy that succeeds at making the essentials free would look, by GDP, like an economy in decline.
• It’s a national average. It can’t tell a town with a food surplus from a town with a shortfall, which is exactly what a surplus-on-request network needs to know.

Emad Mostaque made a similar point, which I wrote about in Part 23: Emad Mostaque and I Agree on the Destination, Not the Road: a scarcity-based system reads abundance as poverty.

So the problem isn’t money. It’s seeing the physical economy only through money.

What real wealth is made of

Strip away the money, and every good comes down to three things: energy (the ability to do work), materials (matter in useful forms) and information (knowing how to combine the first two). A meal is sunlight plus soil plus a recipe.

The first version of my whitepaper, from November 2025, took the next step: make energy the currency, and price everything in kilowatt-hours.

That was wrong, and someone had already explained why.

The economist Nicholas Georgescu-Roegen, author of The Entropy Law and the Economic Process (1971), spent years arguing against exactly that move. Simplified:

1. Matter matters too. Energy isn’t the only constraint. Tire rubber wears into dust, metals corrode and scatter, and you can’t recycle everything perfectly.
2. Energy is necessary for value, not the measure of it. Pricing a painting by the energy it took to make fails for the same reason the labor theory of value fails.

(Robert Ayres pushed back in 1999 that, with enough energy, scattered materials can be gathered again. Both are true: recycling can get very good, never perfect.)

So the current version takes three lessons from him:

• Separate accounts, not one currency. Energy, water, food and each critical material get their own units. Nothing converts everything into kilowatt-hours.
• Count useful work, not raw energy. A kilowatt-hour of electricity can run a machine. The same kilowatt-hour as lukewarm bathwater can’t do much. Physicists call the useful part exergy, and the accounts record energy by quality.
• Track funds as well as flows. Georgescu-Roegen split inputs into flows, which get used up (fuel, seed), and funds, which serve for years if maintained (soil, machines, buildings). The accounts track both, so a town can see when its soil or its robots are being quietly run down.

The floor is cheap. Delivering it isn’t.

In 2020, Joel Millward-Hopkins, Julia Steinberger, Narasimha Rao and Yannick Oswald estimated, from the bottom up, the energy needed to give everyone a decent material life.

Their answer: global final energy use in 2050 could fall back to the levels of the 1960s, for a population three times larger.

The catch, which they state plainly, is that it assumes both a massive rollout of efficient technology and consumption cut back to sufficiency. My design leans on the first (that’s what machine labor is for) but not the second. Above the floor, people choose.

Either way, the floor isn’t limited by the planet’s energy. It’s limited by whether production and distribution reach the people who need it.

That’s a coordination problem. And coordination runs on information.

Resource accounts: a second ledger

A resource account is a community’s live record of what it physically has, makes, uses and loses. Money keeps pricing scarce things. The accounts show the physical economy directly.

The design rules:

• Records, never promises. In the whitepaper’s words, “An account entry exists only when the resource does: a kilowatt-hour logged when it’s generated, a tonne of steel when it’s in the yard.” Nothing to speculate on.
• Expiry where physics demands it. Unstored solar is gone by evening. Strawberries spoil in a week. Steel doesn’t. Entries for perishables lapse on the same schedule, which nudges surplus toward use instead of hoarding.
• Community-level, never the person. Accounts add up at the facility and the town. Nobody needs a personal balance for the essentials, because the first block of them is free.
• Open to the people they describe. Residents see their town’s stocks and flows. Other towns see only what’s offered or requested.

Every account obeys one rule, double-entry bookkeeping for physical stuff:

This month’s stock = last month’s stock + what we made + what we received − what we used − what we sent − what we lost.

Each term is measured separately, by meters, scales and physical counts. If the numbers don’t balance, something’s wrong: a broken meter, a leak, or a lie. The account flags it automatically.

Money can’t do this, because money has no physics to check against.

In the whitepaper’s worked example, a made-up farm valley called Ridgeview closes its March books with water losses at 15% of production, almost double its tolerance. An inspection finds a failed main under an orchard. Nobody knew until the ledger said so.

None of this is exotic. In 2012, the UN adopted the System of Environmental-Economic Accounting as the first international standard for physical accounts like these.

It’s kept nationally, once a year. Resource accounts do it for one town, in close to real time.

And no, it doesn’t start with a blockchain. More on how it does start below.

Run it like the power grid

The strongest objection to anything like this comes from Friedrich Hayek.

In The Use of Knowledge in Society (1945), he argued that the knowledge an economy runs on is scattered across millions of people, and no planner can collect it. Prices compress it into one number everyone can act on.

My first version treated that as a data problem sensors could solve. It isn’t.

Sensors can count tonnes of grain. They can’t measure how badly a town wants grain instead of lumber this month.

So the new answer is: keep prices, but decouple them from survival.

That sounds abstract. It isn’t. You already live inside a system built exactly this way, every time you flip a light switch.

The American power grid is two systems stacked on top of each other.

Behind the wall, it’s one of the most efficient markets on earth. Regional grid operators run auctions a day ahead and again in real time, covering about two-thirds of the country’s electricity load.

Every few minutes, they set a separate price at each point on the grid, called the locational marginal price: the cost of the next unit of power, plus the cost of congestion on the lines, plus what’s lost on the way.

A high price at one spot tells every generator in the region where power is needed right now, and tells investors where to build next. The operators run the market. They don’t own the power plants.

At your house, it’s infrastructure. You pay a steady rate, and in many places the first block of power is cheap on purpose.

California’s 1975 Lifeline Act required utilities to provide a basic quantity of energy for essential household uses at below-average cost. Nobody bids for their refrigerator.

And in much of America, the customers own the wires. About 900 electric cooperatives serve 42 million people across 56% of the country’s land. Members pay rates that keep the lines up, and have for 90 years.

That’s the whole design, already running:

• A town’s node is a co-op. Residents own it, equally, through the town’s trust.
• The floor is a lifeline block. Each household’s first block is free: everything reasonable that’s available today, at today’s quality, sorted under food, water, energy, housing, healthcare, transport and communication, plus personal AI and personal machine labor for everyone. Use above it is priced, which keeps people from wasting it without anyone policing them.
• Surplus moves between towns through a wholesale market. In the simplest version, in ordinary dollars, backed by one shared emergency reserve. A desert town with spare midday solar sells it. A farm valley with spare grain sells that. A shortage shows up as a high price at a place, and the price pulls supply toward it.

That’s what “on request” means. The request is a price.

And it’s built to be the most efficient market we know how to run, because the essentials deserve that. Not a charity line. Core infrastructure.

What Texas taught us

There’s one way to wreck this, and Texas showed us in February 2021.

During Winter Storm Uri, the Texas grid operator held wholesale prices at the market’s cap, $9,000 a megawatt-hour, for days. Most Texans’ rates didn’t move.

But customers of one retailer, Griddy, paid the wholesale price directly, for a flat $9.99 a month, with nothing in between. One woman was charged $9,546 for less than three weeks of February, 40 times her usual bill. Griddy went bankrupt.

The market wasn’t the mistake. Exposing households to it was.

So the line sits in a specific place: towns trade in the market, and households sit behind the lifeline block. A town short on power can pay a spike price. A family never does.

When the market isn’t enough

A market moves surplus to whoever can pay. Usually, between towns, that’s fine. But a poorer town might not be able to afford imports it depends on.

For that case, the whitepaper keeps a backup, to be tested only if plain trade fails: need-based credits, borrowed from food banks.

In 2005, Feeding America switched from assigning donated food by formula to auctions run on a “fake” currency called shares, handed out in proportion to need and redistributed every night. Food supply rose about 35% in the year around launch.

One food bank director told the economist who designed it, Canice Prendergast, that he was a socialist and didn’t believe in markets. By the time the results came in, he was one of its strongest advocates.

It’s the same idea as the grid, with need setting the starting budget instead of wealth.

For things where any price feels wrong, there’s matching. Alvin Roth and Lloyd Shapley won the 2012 Nobel in economics for the systems that match new doctors with hospitals, students with schools, and organ donors with patients, with no prices at all.

The same methods fit a home in a specific place, or a training slot in a guild.

And for scarce wants, like beachfront and original art, ordinary dollars.

Who gets machine labor first

Machine labor runs a little differently from power, because everyone owns a piece of it.

Everyone starts with a base: a personal machine of their own, with personal AI and personal machine labor linked. That’s part of the floor.

Above the base, everyone has the same right to call on any machine that’s free, whoever holds it. I call that dispatch rights: the equal right to call on machine labor. It’s equal access, not an equal ration of machine-hours.

A dispatcher, like the one who sends out taxis or ambulances, takes those requests and sends machines. It fills them by demand, in three tiers:

1. The essentials first, plus urgent shortages and new bottlenecks, stack-ranked on a priority list. Need is this first tier of demand, not the whole of it.
2. Projects the community votes to do first, when the work happens in that community.
3. Surplus: quests and private wants, whatever people like. Each town’s charter reserves a share of machine capacity for these, so a community vote can never crowd out someone’s personal quest.

The priority list isn’t only things. It also ranks the learning and skill areas a community needs most, so the people climbing those branches get machine time to do it. I explain how in Part 14: You Won’t Have a Career. You’ll Have a Skill Tree.

Winning a league doesn’t buy anyone more machine time. A quest’s request does.

The system is built for surplus, enough that people can do whatever they want, so most of the time everyone gets what they ask for. Nobody polices how you use your share, and there are no routine fees on machine labor.

Shortages still happen. If someone needs far more machine labor or compute than is reasonable at a time of shortage, that use gets a review.

And when demand for the essentials outruns supply, a temporary conservation flag switches on, like the demand-response alerts a power grid sends on the hottest afternoons. Requests follow the tiers, essentials first, and the flag lifts on its own once supply recovers. It’s never permanent.

Who runs all this? The town’s trust keeps the priority list, and the community votes on it, with its guilds weighing in. The flag switches on by itself when the town’s resource numbers cross limits written into its charter, the way a grid operator issues an alert, and the regional federation does the same for shortages across a region. If someone’s use looks outsized during a shortage, the trust’s elected board reviews it, and the guilds check each other’s work.

Better information shrinks boom and bust

Prices handle what’s truly scarce. Information can handle a lot of the rest, and that’s where the second ledger earns its keep.

Here’s the idea. Bring every resource on my list from Part 2: If a Human Wants to Do a Job, a Machine Shouldn’t Take It online in the resource accounts, from materials and energy to spare machine-hours. The physical ones, anyway: time, attention and reputation stay off it.

Machine labor on demand takes labor off the list of constraints. Then the network pools what’s left and sorts it by demand: most things made locally, and trade between towns settled on a shared ledger.

My hunch was that without prices whipsawing everything, this would scale far better than today’s economy. About half of that holds up.

The half that holds. A lot of boom and bust starts with delays and blind spots, not prices.

In 1960, Jay Forrester at MIT invented the Beer Game. Four players run a beer supply chain, and each sees only the orders from the player below.

One small change in what customers buy turns into wild swings upstream, in a game with no prices in it at all.

Real companies see it too. Procter & Gamble found that distributors’ diaper orders swung more than babies’ actual demand could explain.

In 1997, Hau Lee, V. Padmanabhan and Seungjin Whang named this the bullwhip effect: a small flick at the store becomes a big crack at the factory. Their fixes were to share real sales data, shorten lead times and hand replenishment to one party.

They also found that price swings feed it. Promotions make buyers stock up, then stop ordering. So my hunch gets partial credit: steadier prices do calm the whip.

The fixes work. In a 1996 pilot, Walmart and Warner-Lambert planned Listerine orders together, and Walmart’s in-stock rate rose from 87% to 98% while inventory fell about 20%.

Local production shortens lead times, and a shared ledger removes blind spots. That’s two of the bullwhip’s causes, handled.

The third is us. In Beer Game simulations, even players given perfect information still performed poorly. Steady, rule-based reordering is a natural job for machines.

The half I’d change. Some swings are signal. When a drought, a storm or a broken fab makes something truly scarce, people need to know fast.

Hayek’s own example was tin: when tin gets scarcer, a rising price tells every user to economize, and they don’t even need to know why.

The grid’s operators already keep supply and demand “always balanced,” moment to moment, watching the whole system in real time. Prices still spike, because scarcity is real. That’s why the design above keeps prices at the margin, behind the lifeline block, with shared reserves to absorb the shocks.

Markets on top of the ledger. Think of the ledger as the map: a shared, public record of what exists, where, and in what shape. Markets run on top of it for whatever’s scarce at the margin, the way the wholesale power market runs on top of the wires and meters.

And the lifeline block underneath is allocated by rule, not by bidding.

Shared data works when it’s held in common

Sharing data clearly pays, as the Listerine pilot showed. Walmart, working with IBM, also cut the time to trace a mango’s farm from 7 days to 2.2 seconds on a permissioned blockchain.

Maersk and IBM’s shipping blockchain, TradeLens, went the other way. In late 2022, they announced its shutdown, saying “full global industry collaboration” never came.

My first guess was that rival carriers stayed out because open data would squeeze the rates they could charge. I couldn’t find evidence for that. The reporting points to ownership.

Maersk is one of the biggest container lines on earth, and TradeLens was its platform. In 2018, some of the biggest carriers dismissed it, believing it gave IBM and Maersk “too much control” over their operations. Several backed a rival platform, GSBN, instead.

Some carriers did join in 2019, bringing TradeLens to about 60% of global shipping volume. But the doubts never went away. As one ports-industry post-mortem asked, how could Maersk “possibly be considered a neutral party”? And too few customers used it.

Walmart’s partners were its suppliers. TradeLens asked carriers to put their data on a rival’s platform. The lesson: shared data fails when one competitor owns it, and works when it’s neutral and held in common.

Remember the grid: the operators run the market, and they don’t own the power plants. A ledger of a region’s resources should be owned the same way: by the towns together, like a co-op or a public utility.

A passport for things

The EU is already building passports for things. Under its 2023 Battery Regulation, from February 18, 2027, every EV battery, every e-bike and scooter battery, and every industrial battery over 2 kWh needs a battery passport.

It’s a digital record for each individual battery, opened by scanning a QR code on it. The public part covers who made it and where, what it’s made of, its carbon footprint and how much recycled material it contains.

Repairers and recyclers can also see how it comes apart and its state of health: how much of its original capacity it still holds. That’s how a used battery finds a second life, and then a recycler.

Batteries are the first products to need one of the EU’s digital product passports, and more are meant to follow. None of it requires a blockchain.

Start boring

So what’s the best mechanism? The record doesn’t need to be on-chain. It needs to be digital, easy to share instantly, and trustworthy. Here’s the stack I’d bet on:

• Open standards, so every town and every maker records things the same way.
• Digital product passports for things, like the battery’s.
• Resource accounts for towns: the second ledger.
• Signed records. Each entry carries a digital signature from the meter or maker that produced it, so anyone can check it without trusting whoever stores it.
• Federated registries to connect it all, the way the internet’s domain names work: many independent operators, one shared set of rules.

It grows in three phases, the ones the whitepaper lays out:

1. Phase 1: each community runs its own ledger on ordinary databases, with every entry signed by the meter or sensor that produced it.
2. Phase 2: shared standards, so towns’ accounts can talk to each other the way email works across providers.
3. Phase 3: a distributed ledger for the records between towns that no single party should control, if and when the trust problem demands it.

The hard part was never the database. It’s getting everyone to share, and that’s a question of ownership before it’s a question of technology.

So here’s the version I’ll stand behind. Better information and local production shrink the swings that come from delays and blind spots. Prices stay at the margin for what’s truly scarce.

That version scales.

The future: queues, forecasts and buffers

Inside the floor, nothing has a price, so households have no price risk to hedge. What towns face is quantity risk: a drought, a broken fab, a spike in demand. Three tools handle it better than a futures market:

• Reservation queues. A town that needs more steel next spring files a forward request. It’s a commitment to use, not a contract you can resell at a markup.
• Forecasts scored in points, not dollars. In a US intelligence research tournament from 2011 to 2015, Philip Tetlock and Barbara Mellers’ Good Judgment Project beat a prediction market inside the intelligence community, staffed by analysts with classified information, by 25 to 30%. Accuracy is a skill you can find and weight. Forecasters earn reputation, not money, and questions are scored against the resource accounts.
• Mutual reserves. Every town keeps a buffer of critical stocks, and the network pools one shared reserve. A town hit by hail draws on the pool and pays it back later, like insurance paid in goods.

Inside the floor, nobody needs a casino.

Data for coordination, not command

Measuring everything makes an economy easy to coordinate. It also builds the perfect control panel for whoever grabs it.

The goal is the first without the second, and that’s an architecture choice, not a promise:

• Measure flows, not people. Meters, warehouses and fabs. Household readings stay in the household.
• Local data. Each town holds its own accounts.
• No central switch. No single place can turn a town’s supply on or off.
• Open code and open audit.
• Exit with your node. A town can leave the network with its infrastructure and its records.

The governance rules come from Elinor Ostrom, who won the 2009 Nobel in economics for showing how communities govern shared resources without selling them off or handing them to the state.

I walked through her design principles in Part 10: A Floor for Everyone, a Frontier for Anyone. They hold up: in a 2009 review of 33 studies, three-quarters showed strong or moderate support.

The template that worked

The best proof comes from an unlikely place: acid rain.

The 1990 Clean Air Act amendments capped sulfur dioxide from power plants, issued tradable allowances, and required a continuous emission monitor on every regulated unit.

By 2009, plants in the program had cut emissions 64% below 1990 levels, and all 3,572 units complied that year.

It measured physical flows at the facility, made the data public, and let the people closest to the problem find the cheapest fix. It monitored every smokestack in the country without monitoring a single worker. That’s the template.

The cautionary tales

• Technocracy (1932–1933). Howard Scott’s movement wanted to replace money with energy certificates that expired if unspent. It peaked in early 1933 and collapsed within months, amid doubts about Scott’s credentials. Lesson: if your legitimacy rests on technical competence, your numbers had better be right.
• Wörgl (1932–1933). This Austrian town issued its own notes, following Silvio Gesell’s idea of money that loses value unless spent. It paid for houses, a reservoir and a bridge, and by most (mostly sympathetic) accounts, employment grew. Austria’s central bank shut it down in September 1933 to protect its monopoly. Lesson: expiry works, but a rival currency meets the central bank. So the current design applies expiry to strawberries, not money.
• Project Cybersyn (1971–1973). Chile hired the cybernetician Stafford Beer to link factories to one operations room by telex. During a 1972 strike by 40,000 truck drivers, it helped keep goods moving. After the 1973 coup, it was dismantled. Lesson: real-time data shines in a crisis, but one central room is one point of capture. The design keeps the feedback loops and drops the room.

I changed my mind, in public

The first version of this paper argued for replacing money outright with energy-backed tokens.

The current version drops that, and publishes a fact-check of the first one as an appendix. Of 14 checkable claims, one held up.

Ten were wrong, overstated or outdated. Three were unsourced or hypothetical.

I’d claimed speculative bubbles were impossible once tokens represent real goods. The tulip mania traded real bulbs. I’d told the old story of banks keeping 10% reserves; US reserve requirements have been zero since March 2020.

I’m publishing that list on purpose. Technocracy died by claiming more than it could show. I’d rather show my work, as I did in Part 21: The World We Want Is Mostly Constitutional, where I rewrote two lines I’d gotten wrong.

What the research says

I also had the framework stress-tested against the economics literature from 2023 to 2026. Four findings matter here.

First, where economists broadly agree. If machines can do all the essential work, labor’s share of income falls. Philip Trammell and Anton Korinek’s NBER review finds fully automating production would “dramatically raise the growth rate and lower the labor share.”

In Pascual Restrepo’s 2025 model, labor’s share of GDP converges to zero. The fight is about when, not whether. Meanwhile, labor’s share in the US nonfarm business sector hit 52.8% in the second quarter of 2026, the lowest since records began in 1947.

Second, ownership scores highest. In September 2026, Google DeepMind economists Julian Jacobs and Alex Imas rated eleven policies for an AGI economy, using a panel of 51 AI raters built from real economists’ survey data.

On agency, universal basic capital, an ownership stake given up front, scored highest: 76.3 out of 100.

Universal basic services scored 41.9, near the bottom, and lowest of all on ownership of the gains. That’s a fair hit on the floor, if the floor were all I proposed. It isn’t.

In the current design, every resident holds an equal share that can’t be sold: half in their own town’s trust, which holds the infrastructure for the essentials, and half in a pooled regional fund held by the federation of town trusts, so one flood can’t wipe out someone’s home, job and stake at once. That’s universal basic capital, delivered locally. Part 5: Every Town Can Own Its Own Power Plant and Chip Fab has the full design.

Which is the cleanest way I can put this whole series: universal basic goods and services, powered by universal machine labor on demand, distributed by universal basic capital.

Third, DeepMind researchers landed on nearly the same backup plan. In Virtual Agent Economies (2025), Nenad Tomašev and colleagues propose auctioning a shared pool of resources, like compute and priority slots, with every user starting from the same amount of a special currency, building on Ronald Dworkin’s 1981 equal-resources auction.

They even suggest piloting it on a campus energy grid or a district’s water. The one difference: they start everyone equal. I start towns by need, as the food banks do.

Fourth, the honest caveat. My case against a check in Part 6: UBI Won’t Work. Universal Basic Goods Will. is that more money chasing the same goods raises prices.

True, when goods are scarce. But in a demand collapse, when displaced workers stop spending, the goods exist and nobody can buy them. There, cash is the right stabilizer.

So the floor in goods pairs with a cash backstop, switched on by data. That deserves its own piece: Part 19: Plan for the Bad Transition.

Start with two towns

The first version promised 10 million participants by 2030. This one makes no adoption promises. Each stage has a test to pass before the next.

It also starts small on purpose. The simplest version is four parts: equal ownership, a lifeline block, machines that guarantee the floor while people choose their work, and maintenance paid before dividends.

Every town’s charter has only eight commitments. Everything fancier, including the need-based credits, gets added only where a pilot shows the simple version falls short. Complex systems that work almost always grow from simple ones that worked.

The first pilot is a pair, because the network is the new part, and you can’t test a network in one place.

Ideally one town with a food surplus and one with an energy surplus, each with 1,000 to 5,000 people, a local electric co-op or utility as a partner, and a matched comparison town that doesn’t adopt the system.

• Pre-registered metrics. Account accuracy, waste, how fast surplus finds a taker, residents’ rating of the floor, participation and cost per resident, published before launch and judged by an independent university team.
• Kill criteria. After two years, the pilot stops or gets redesigned if the accounts don’t reconcile with audits, residents rate the floor worse than the comparison town, governance has been captured, or costs exceed savings with no downward trend.

And the results that would prove the design wrong:

1. Resource accounts can’t be kept accurate at reasonable cost.
2. Need-based credits, where they’re tried, move surplus no better than simple rules.
3. Residents are no better off than in matched towns after several years.
4. Governance concentrates in a few hands despite the rules.
5. A secure floor reduces the time people spend on meaningful work.

That last one is the central bet of this whole series. It’s testable.

Objections

Isn’t this central planning?

Planning failed because one center tried to know everything. This has no center: each town holds its own data, prices still carry local knowledge, and any town can leave with its node.

Isn’t a market for essentials what went wrong in Texas?

Two different things went wrong in Texas. The blackouts came from power plants and gas lines freezing. The giant bills came from handing a wholesale price straight to families.

The design here takes on the second directly: towns trade, and households sit behind the lifeline block.

And if a region does try need-based credits, they hold the line Wörgl crossed: issued by need, spent only between towns, recirculated every period, and never cashed out.

Isn’t measuring everything surveillance?

It would be, if it measured people. It measures meters, warehouses and fabs.

Household data stays home, and there’s no central switch. The acid rain program watched every smokestack without watching anyone.

Why not just give people cash?

Sometimes you should. In a demand collapse, cash is exactly right, and I’d keep it ready. But cash can’t build a water main, tell you one is leaking, or move spare grain from a valley to a desert town.

A check only works if the things it buys exist and can reach you. The second ledger is how we make sure they do.

The answer to Part 5

Money isn’t the problem. Seeing the physical economy only through money is.

Every piece of this already exists somewhere: Ostrom’s commons, the grid’s markets and lifeline rates, the food banks’ shares, the acid rain monitors. What’s missing is putting them together, piloting them, and publishing the results honestly, failures included.

So here’s how surplus flows on request: every town can see what it has, every town can see what its neighbors offer, and every town can put a price on what it needs, while every family’s essentials stay off the market.

For the mechanics, the deep dives and the full fact-check, read the full whitepaper. If you’re new here, start with Part 1: Machines Can Make Us Both Free and Safe.

And if you run a town, a co-op or a utility that would make a good half of a pilot pair, I’d love to hear from you.

One question this piece leaves open is how we pay for the transition while all of this gets built. That’s next, in Part 18: Every Spending Bill Should Show Up on Your Paycheck.