A primary-sourced arithmetic · updated 2026-05-15  ·  Español  ·  + translation

The world already produces enough. The question is whether we admit it.

Below: four numbers. Each is global production divided by the documented minimum need, per person. Every number links to a primary source — FAO, IEA, IMF, WHO, World Bank, UN-Habitat, SIPRI, UBS — and every redistribution claim cites a peer-reviewed study.

Food
1.4×
supply ÷ daily
caloric need
Water
287×
renewable ÷ WHO
basic L/day
Electricity
3.8×
generation ÷ Modern
Energy Minimum
Output (GDP)
12×
per capita ÷ World
Bank poverty line

If you can act on this — there is a short, fully-cited open letter addressed to anyone with the power to move resources: To whoever can end this →. And a set of free in-browser tools (image editor, image compressor, QR code generator, contrast checker, password generator — no account, no upload, nothing leaves your device) — manufactured scarcity, refuted in code.

1 · The thesis, in one sentence

For every essential resource where global production data exists, aggregate human production already exceeds aggregate human need — usually by a wide margin. Hunger, homelessness, and energy poverty in 2026 are distribution outcomes, not production outcomes.

This is not a new claim. Amartya Sen won the 1998 Nobel Prize in Economics for proving exactly this — that the great famines of the twentieth century, including the 1943 Bengal famine that killed ~3 million people, occurred during years of adequate or above-average food production. Famine, Sen showed, is an entitlement failure: some people lose the legal/economic claim to food while the food is still there. (Sen, A. (1981). Poverty and Famines: An Essay on Entitlement and Deprivation. Oxford University Press.)

This page does not argue policy. It states arithmetic, cites the experiments that have already tested the policy, and points at the scholars who have been making this case for forty years.

2 · The per-capita arithmetic

Divisor everywhere on this page: 8,200,000,000 people, the UN's mid-2024 estimate (WPP 2024). For the per-country breakdown see Abundance · by country → (sortable World Bank data for 91 countries).

Food abundance exists

Daily food supply, global average
2,950 kcal / person / day
FAOSTAT food balance sheets, 2021 latest revision
Adult minimum need (reference)
2,100 kcal / person / day
FAO/WHO/UNU Human Energy Requirements, 2001
Ratio: supply ÷ need
1.40×
We currently produce ~40% more calories than the human population needs.
People still in hunger, 2024
673 million
FAO SOFI 2025. Coexists with ~32% of food being lost or wasted.

The Bengal famine of 1943 — the most-studied modern famine — occurred in a year when rice production in Bengal was 13% higher than in 1941, a non-famine year. Grain prices rose more than 300% over four years while agricultural wages rose 30%. People starved because the money they earned could no longer buy the food that physically existed. Sen's analysis of this and subsequent famines (Ethiopia 1973, Sahel 1968–73, Bangladesh 1974) established the modern consensus that starvation in the modern era is overwhelmingly a problem of access, not production.

Sources: FAOSTAT food balance sheets via Our World in Data · FAO/WHO/UNU energy requirements · SOFI 2025 · FAO + UNEP Food Waste Index 2024 · Sen (1981) Poverty and Famines

Freshwater geographically uneven

Renewable freshwater, globally
43,000 km³ / year
FAO AQUASTAT — long-term renewable resources
Per person per day, even split
14,367 L / person / day
Math: 43,000 km³ ÷ 8.2B ÷ 365 days
WHO intermediate-access threshold
50 L / person / day
Drinking, cooking, basic hygiene
Ratio: supply ÷ basic need
287×
Globally, ~287 days of basic-access water exist per person per day. The hard problem is moving it.

Sources: FAO AQUASTAT · WHO domestic water quantity guidelines

Electricity abundance exists

Global generation, 2024
~30,856 TWh / year
IEA Electricity 2024 + 2024 growth of ~1,200 TWh
Per person, even split
3,763 kWh / person / year
Math: 30,856 TWh ÷ 8.2B
IEA Tier 1 access
100 kWh / person / yr
Lights, phone charging, fan
Modern Energy Minimum (productive use)
1,000 kWh / person / yr
Rockefeller Foundation / Energy for Growth Hub
Ratio: supply ÷ Tier 1
38×
Ratio: supply ÷ Modern Energy Minimum
3.8×

Sources: IEA Electricity 2024 · IEA energy access definitions · Modern Energy Minimum (2020)

Output (GDP) abundance exists

World GDP, 2024 (nominal)
$110.06 trillion
IMF WEO April 2026
Per person, even split
$13,422 / person / yr
Math: $110.06T ÷ 8.2B
World Bank extreme poverty line
$3.00 / person / day
2021 PPP, updated June 2025
Ratio: GDP-per-capita ÷ poverty-line annual
12.3×
Global per-capita output is ~12× the line at which a human is no longer "in extreme poverty."

Sources: IMF WEO · World Bank, June 2025 poverty line update

Insulin manufactured scarcity

Cost-based price to make one human-insulin pen
$0.94
MSF Access / JAMA Network Open (2024)
US list price for the same molecule
$90.69
Barber, Sulis et al (2024)
Markup over cost
96×
International price spread of the regular vial: factor of 103.
Adults with diabetes, globally
589 million
IDF Diabetes Atlas 2024. 81% in low- and middle-income countries.

Insulin was isolated in 1921; in 1923 its discoverers sold the patent to the University of Toronto for $1 so that it could not be monopolized. A century later, the molecule costs ~$1 to manufacture and ~$90+ to buy in the United States. This is the cleanest single example on the page of manufactured scarcity: there is no physical shortage of insulin. There is a pricing structure protected by patent and supply-chain consolidation.

Source: Barber, Sulis et al (2024). 'Estimated Sustainable Cost-Based Prices for Diabetes Medicines,' JAMA Network Open / MSF Access Campaign · IDF Diabetes Atlas 11th ed.

Internet distribution failure

Global Internet users, 2024
5.5 billion
68% of world population (ITU 2024)
Still offline
2.6 billion
1.8B in rural areas; 27% Internet use in low-income countries vs 93% in high-income.
Annual global Internet traffic
~7.3 zettabytes / year
Fixed ~6 ZB + mobile ~1.3 ZB (ITU 2024)
Per person, even split
~890 GB / person / year
~2.4 GB / person / day

International bandwidth capacity is 1,835 Tbps (TeleGeography 2024), growing 24%/year, and the laid-but-unlit ("dark") fiber inventory exceeds installed capacity in most countries by multiples. Aggregate capacity is not the constraint. The gap is the 2.6 billion people without affordable access — most of them rural, most of them in low-income countries, where Internet use is 27% vs 93% in rich countries.

Sources: ITU Facts and Figures 2024 · TeleGeography Global Bandwidth Research 2024

Childhood vaccines distribution failure

DTP3 global coverage, 2024
85%
~109M infants fully immunized. WHO target: 90%.
"Zero-dose" infants — no routine vaccines at all
14 million
Concentrated in conflict and fragile-state contexts.

The supply side of routine childhood immunization is one of the rare areas where global manufacturing capacity already exceeds need by a comfortable margin. The Serum Institute of India alone produces more than 1.5 billion doses per year; UNICEF procures vaccines for ~45% of the world's children at prices of cents-to-dollars per dose. The 14 million zero-dose infants are not a supply problem. They are a cold-chain, conflict, funding-gap, and political-will problem.

Source: WHO/UNICEF Estimates of National Immunization Coverage (WUENIC) 2024 revision · WHO + UNICEF press release, Jul 2025

Housing distribution failure

Homeless worldwide, 2024
318 million
UN-Habitat / UN DESA
Lacking adequate housing
2.8 billion
≈ 40% of the global population

Unlike food or electricity, there is no single "global housing production" number to divide. But the inverse is well-documented: in many wealthy countries, vacant housing units exceed homeless population by an order of magnitude or more. The shortage is not of walls; it is of walls people are allowed to enter.

Source: UN DESA, World Social Summit 2025 background

Sanitation distribution failure

World population with safely managed sanitation
57%
WHO/UNICEF JMP (2023)
People still lacking it
3.5 billion
WHO/UNICEF JMP (2023)

The engineering of safe sanitation is a solved problem and most of the world already lives with it: in 2022 some 57% of humanity (about 4.5 billion people) used safely managed sanitation. The remaining 3.5 billion without it, including 419 million who still practise open defecation, are short of plumbing and treatment capacity, not of any unknown technology. This is a distribution and investment gap, not a production limit.

Source: WHO/UNICEF Joint Monitoring Programme (2023). Progress on household drinking water, sanitation and hygiene 2000-2022.

Drinking-water access distribution failure

World population with safely managed drinking water
73%
WHO/UNICEF JMP (2023)
People still lacking it
2.2 billion
WHO/UNICEF JMP (2023)

The planet's renewable freshwater works out to thousands of cubic metres per person per year; the binding constraint is delivery, not the resource. In 2022 some 73% of humanity used safely managed drinking water, while 2.2 billion people did not, including 115 million who still drink untreated surface water. The water exists and treatment is routine engineering; the gap is pipes, pumps and treatment plants where they have not been built.

Source: WHO/UNICEF Joint Monitoring Programme (2023). Progress on household drinking water, sanitation and hygiene 2000-2022.

Clean cooking fuel distribution failure

People still cooking with polluting fuels
2.1 billion
WHO (2025), 2021 data
Deaths/year from household air pollution
2.9 million
WHO (2025), 2021 data

Clean cookstoves, LPG and electric cooking are mass-produced, well-understood technologies. Yet about 2.1 billion people, roughly a quarter of humanity, still cook over open fires and inefficient stoves burning wood, dung, crop waste, coal or kerosene. The resulting household air pollution killed an estimated 2.9 million people in 2021, including over 309,000 children under five. The shortfall is affordability and supply chains for fuel and stoves, not a missing invention.

Source: World Health Organization (2025). Household air pollution fact sheet.

Basic education distribution failure

Out-of-school children & youth worldwide
251 million
UNESCO GEM Report (2024)
Out-of-school rate, low- vs high-income
33% vs 3%
UNESCO GEM Report (2024)

Primary and lower-secondary schooling is a mature public service that rich countries deliver to essentially everyone. UNESCO counts 251 million children and youth out of school in 2024, a number that has fallen only about 1% in nearly a decade. In low-income countries 33% of school-age children are out of school against just 3% in high-income countries. The teaching methods exist; the gap is funding, teachers and access where conflict and poverty concentrate.

Source: UNESCO (2024). Global Education Monitoring Report 2024: 251 million children and youth still out of school.

Maternal survival distribution failure

Maternal deaths in 2023
260,000
WHO/UNICEF/UNFPA/WB (2025)
Share concentrated in sub-Saharan Africa & S. Asia
87%
WHO/UNICEF/UNFPA/WB (2025)

The clinical interventions that prevent maternal death, skilled birth attendance, blood transfusion, treatment for haemorrhage, sepsis and hypertension, are standard care in high-income countries. Yet an estimated 260,000 women died of maternal causes in 2023, about one every two minutes, from causes the same report calls largely preventable. About 87% of those deaths occurred in sub-Saharan Africa and Southern Asia. Global maternal mortality has already fallen roughly 40% since 2000, which shows the remaining toll tracks access to care, not a lack of medical knowledge.

Source: WHO, UNICEF, UNFPA, World Bank Group, UNDESA (2025). Trends in Maternal Mortality 2000 to 2023.

Essential medicines distribution failure

Public-sector availability of generic medicines
38-68%
Lancet Global Health (2025)
WHO availability target
80%
WHO benchmark

Most medicines on the WHO Essential Medicines List are off-patent generics that can be manufactured for cents per dose. Yet across 54 low- and middle-income countries, public-sector availability of generic medicines ranged only from 38% to 68% by region, and no region's public or private sector met WHO's 80% availability target. Where stock runs out, patients paid 3 to 11.5 times international reference prices in private pharmacies. The drugs are cheap and abundant to make; the failure is procurement, supply chains and pricing.

Source: Oldfield et al. (2025). Prices, availability, and affordability of adult medicines in 54 low-income and middle-income countries. Lancet Global Health.

3 · The money question

Even if the resources exist, can the financial system move them? Here are three numbers placed next to each other. They are not a policy proposal — they are a sanity check on the claim "we cannot afford it."

Cost of a universal $3/day floor — for every human alive

Math: $3 × 8.2B × 365 days
$8.98 trillion / year
Universal — paid to everyone, including the wealthy.
As a share of world GDP
8.2%
Less than the share the world already spends on healthcare (9.9%).

For comparison: actually closing the gap for the 847M people below the line costs far less, because most of them are not at $0/day; the average poverty gap is roughly $1/day per affected person. Closing the gap costs well under $1 trillion / year — comparable to a single year's growth in global military spending.

Where the money already is

  • Global household wealth, 2023: $449.9 trillion (UBS Global Wealth Report 2024). Of that, $213.8T is held by the 58 million people with net worth over $1M — 0.7% of humanity holding 47.5% of the wealth. Cross-confirmed by the World Inequality Lab (Chancel, Piketty, Saez, Zucman): the top 10% of humanity owns roughly 75% of all personal wealth, and the top 0.001% — fewer than 60,000 people — owns three times more wealth than the entire bottom half of humanity combined.
  • Global military spending, 2024: $2.7 trillion (SIPRI) — 10th consecutive annual increase.
  • Global health spending, 2022: $9.8 trillion (WHO), but the US alone accounts for 43%. Per-capita health spending in high-income countries is ~87× that in low-income countries — same disease, different price tag.

"We cannot afford it" is a statement about political will, not about physical resources or aggregate money supply.

4 · Three kinds of scarcity

Not all scarcity is fake. An honest version of this argument has to separate three distinct things, because the policy response to each is different.

Physical scarcity real

Some things are genuinely finite or geographically bound: rare-earth elements, helium, the lithium in a specific salt flat, doctor-hours per day, intact tropical forest, a particular human's time, fresh water in a desert. No amount of redistribution conjures these. They require substitution, recycling, or restraint.

Distribution scarcity solvable

Production exceeds need globally, but the surplus is concentrated where need is lowest. Food rots in one country while another starves. Electricity is curtailed in one grid while another has none. Housing units sit empty in cities where people sleep outside them. This is the largest category by far. It is solved with logistics, pricing, and rights — not with more production.

Manufactured scarcity created

A third category exists because someone profits from it existing:

Manufactured scarcity is the part of the system that is most legibly a choice. It is the easiest to argue about and the hardest to dislodge, because someone is profiting on the other side of the choice.

We didn't only describe this category — we built small refutations of it: a set of free, client-side tools (an image editor, an image compressor/converter, a QR code generator, a contrast checker, a password generator) that run entirely in your browser — no account, no upload, nothing leaves your device — doing what subscription or ad-gated services charge for. Manufactured scarcity, undone in a few files.

5 · The Omelas question

In 1973 Ursula K. Le Guin published a short story called The Ones Who Walk Away from Omelas. Omelas is a city of beauty, music, and abundant joy. Every citizen's happiness depends — they are told on coming of age — on the continuous suffering of one child kept locked in a basement. The reader is given the choice: accept the bargain, or walk away. Le Guin never tells you what waits past the city walls. (background)

The current global system has the shape of Omelas at scale. Roughly a billion people live in conditions of relative abundance — durable shelter, clean water, reliable food, electricity, healthcare, leisure — while 847M live in extreme poverty, 2.8B in inadequate housing, and 673M in hunger. The wealthy world's comfort runs on cobalt mined by children, garments sewn in unsafe factories, agricultural labor below legal wages, and ecosystems converted to commodities. The bargain isn't presented to anyone formally. It is just the condition of the city.

Le Guin's story poses the bargain. It does not assert that the bargain is necessary. The interesting question — the empirical question this site can actually address — is whether the suffering is load-bearing. If you removed the child from the basement, would Omelas collapse? Or has the city simply never tried?

Three lines of evidence say the suffering is not load-bearing:

That doesn't make removing the child easy. Transition costs are real — capital flight, political resistance, the need to reorganize entire supply chains. But "hard" is not the same as "load-bearing." The site's claim is narrow: the resources exist, the cash-transfer experiments work, and the basement-comfort link is contingent, not necessary.

The next section is the part of Omelas that the story didn't write: what happens when you actually try to lift the child out, on a recorded, measured scale.

6 · Where this has already been done

Twelve programs across six continents and five decades — universal and targeted, lump-sum and monthly, conditional and unconditional — each with peer-reviewed or official-source evaluation. None of them is the full solution. Together they show that the standard objections ("people will stop working," "the money will be wasted," "it isn't sustainable") fail empirically at the scales tested.

GiveDirectly Universal Basic Income — rural Kenya (2017–ongoing)

~23,000 people · 195 villages + 100 control · RCT

Three-arm randomized controlled trial run by Tavneet Suri (MIT), Abhijit Banerjee (MIT, Nobel 2019), Paul Niehaus (UCSD), Alan Krueger (Princeton), and Michael Faye. Three transfer designs compared: lump sum $500; two-year monthly UBI ($0.75/day); twelve-year commitment, same monthly amount.

  • No reduction in labor supply in any arm.
  • Lump-sum arm produced the largest income gain (~50% over control).
  • Long-term commitment changed behavior — saving, business creation — that short-term transfers did not.

Banerjee, Faye, Krueger, Niehaus, Suri (2023). Universal Basic Income: Short-Term Results from a Long-Term Experiment in Kenya. · AEA registry

Alaska Permanent Fund Dividend — United States (1982–present)

~733,000 people · every Alaska resident · ~$1,600 / yr (long-run avg)

A sovereign-wealth fund: 25% of state oil-and-mineral royalties go into a trust ($80B+ in assets) that pays an annual dividend to every Alaska resident, including children. 2024 payment: $1,702. 2022 record: $3,284. The program has survived 40+ years, four decades of party turnover, and multiple oil-price downturns.

  • No measurable reduction in aggregate labor supply (Jones & Marinescu 2022, American Economic Journal: Economic Policy).
  • Alaska maintains the lowest poverty rate among comparable rural-heavy US states.
  • Demonstrates that universal, unconditional, lifetime cash distribution is administratively trivial when the political mechanism exists.

Alaska Department of Revenue, Permanent Fund Dividend Division · Jones & Marinescu, AEJ:EP 14(2):315–340

Iran Universal Cash Transfer — Iran (2011)

>70 million people · national · ~28% of median household income initially

Replaced ~$50–70B/year of energy and bread subsidies with universal monthly cash deposits into individual accounts. Within the first year, >$30B in cash was disbursed to essentially the entire population. The largest universal cash program ever attempted.

  • Headcount poverty fell from 22.5% → 10.6% as a direct effect of the transfer.
  • No reduction in labor supply; positive effects on women's and self-employed men's labor supply (Salehi-Isfahani & Mostafavi-Dehzooei 2018, J. Dev. Econ.).
  • Critical lesson: the nominal value was not indexed to inflation. After five years of cumulative 136.5% inflation, real value of the transfer was cut in half and ~40% of the poverty-reduction effect was lost. Indexing matters.

Salehi-Isfahani & Mostafavi-Dehzooei, J. Dev. Econ. 135:349 · IMF Working Paper 11/167

Stockton SEED — Stockton, CA (2019–2021)

125 treatment · 200 control · $500/month × 24 months · RCT

Stockton Economic Empowerment Demonstration. Mayor Michael Tubbs launched it; University of Pennsylvania's Center for Guaranteed Income Research and Stanford's Center for Advanced Study in the Behavioral Sciences ran the evaluation. Mixed-methods RCT.

  • Full-time employment rose from 28% to 40% in the treatment group over twelve months. The control group rose 32% → 37%. Net effect: +7 percentage points of full-time employment.
  • Reduced anxiety and depression scores.
  • Most recipients used funds for groceries, utilities, transportation, and auto repair — not "temptation goods."

West, Castro, Samra, Coltrera (2023), J. Urban Health 100:1184 · First-year report

Bolsa Família — Brazil (2003–present)

~48 million people · ~13.8M families · ~one-quarter of Brazil's population

The largest conditional cash transfer program ever implemented. Transfers are tied to school enrollment and health-clinic visits for children, but at the scale of nearly a quarter of a national population over more than two decades.

  • Extreme poverty in Brazil would be 33–50% higher without the program (World Bank evaluation).
  • Accounted for 12–21% of the recent sharp decline in Brazilian income inequality.
  • No measurable negative effect on labor force participation (Soares et al, multiple evaluations).
  • The program survived three presidencies of opposing parties, including a government that publicly opposed it — and was reinstated in expanded form under Lula 2023.

World Bank, 'Lifting Families out of Poverty in Brazil: Bolsa Familia Program' · IMF WP/20/099 evaluation

Cherokee casino dividend — Eastern Band of Cherokee Indians, NC, USA (1996–present)

~16,000 tribal members · ~$4,000–$6,000 / yr / person · 30-year quasi-experiment

A naturally occurring quasi-experiment. In 1996 the Eastern Band of Cherokee opened a casino and decided to distribute a per-capita share of profits to every enrolled member, including children. This intersected with the ongoing Great Smoky Mountains Study of childhood mental health — 1,420 children including 350 Cherokee — giving researchers a randomized- by-tribal-membership comparison.

  • Cherokee children in poverty fell by half by 2001; behavioral and emotional problems in formerly-poor children dropped 40% to match never-poor levels.
  • Each additional $4,000/year correlated with one extra year of educational attainment by age 21 and a 22% reduction in criminal record by age 16.
  • Effects intergenerational: children whose families joined the dividend at younger ages showed lasting decade-plus benefits.

Costello, E.J. et al (2020). 'Income dividends and subjective survival in a Cherokee Indian cohort.' SSM-Population Health 10:100530 · earlier work: Costello, Compton, Keeler, Angold (2003), JAMA 290(15):2023–9.

Finland Basic Income Experiment — Finland (2017-2018)

2,000 unemployed recipients vs register-wide control · government-mandated statutory RCT · EUR 560/month, tax-free, no conditions

The world's first nationwide, statutory, randomized basic-income trial. Kela (Finland's social-insurance institution) randomly selected 2,000 unemployed people to receive EUR 560 a month with no work requirement and no income reporting. It was evaluated by Kela and the VATT Institute for Economic Research and reported to the Ministry of Social Affairs and Health.

  • Recipients worked slightly more, not fewer, than controls (about 78 vs 73 employment days) — a small positive employment effect, not the predicted drop.
  • Recipients reported markedly better mental wellbeing, lower stress and depression, and more trust in institutions and in their own future.
  • Limitation: the sample was already unemployed and the labour effect was modest and statistically weak in year one, so this does not test a truly universal payment to the whole population.

Kangas, Jauhiainen, Simanainen & Ylikanno (eds.) (2020). Evaluation of the Finnish basic income experiment. MSAH Reports 2020:15. · VATT Institute / official results

Baby's First Years — United States (2018-2022)

1,000 low-income mother-infant pairs · randomized controlled trial · USD 333/month vs USD 20/month, unconditional, by debit card

An RCT led by researchers at Columbia, NYU, UC Irvine, Maryland and Wisconsin. Mothers of newborns below the poverty line were randomly assigned a high (USD 333/month) or low (USD 20/month) unconditional monthly cash gift. The team measured the infants' brain activity by EEG around their first birthday.

  • Infants whose mothers got USD 333/month showed more high-frequency brain activity — a pattern linked in prior work to later cognitive development — than the low-cash group.
  • Because the cash amount was randomized, the difference is causal evidence that reducing poverty changes early brain activity, not just a correlation.
  • Limitation: not every pre-registered outcome reached significance, and EEG power is an indirect proxy — it is not a measure of IQ or school performance, which were not yet assessed at age one.

Troller-Renfree et al. (2022). The impact of a poverty reduction intervention on infant brain activity. PNAS 119(5):e2115649119. · Baby's First Years study / publications

Mincome — Dauphin, Manitoba, Canada (1974-1979)

Whole town of ~10,000 as saturation site + dispersed Manitoba sample · federal-provincial guaranteed-annual-income experiment · income-tested top-up

A 1970s Canadian guaranteed-annual-income experiment in which the town of Dauphin was a 'saturation site' where everyone was eligible. The program was defunded before a final report and the data sat unanalyzed for decades until Evelyn Forget (University of Manitoba) linked participants to Canada's universal health records and compared them to matched controls.

  • Hospitalizations fell 8.5% among Dauphin residents versus matched controls, driven by fewer accidents/injuries and fewer mental-health admissions.
  • Work effort barely moved: only new mothers (longer maternity leave) and teenagers (staying in school, raising graduation rates) reduced hours.
  • Limitation: Forget's results are a retrospective analysis of a single saturation town decades later, not a fresh randomized comparison, so the causal claim is weaker than a modern RCT.

Forget, E. L. (2011). The Town with No Poverty. Canadian Public Policy 37(3):283-305. · open-access policy brief / full text

PROGRESA / Oportunidades — Mexico (1997-)

506 randomized rural communities, later ~5 million households · conditional cash transfer with randomized rollout · cash to mothers, ~20-30% of household income

Mexico's flagship anti-poverty program (renamed Oportunidades, then Prospera). It launched with a randomized rollout — 320 communities got the program first, 186 acted as controls — paying mothers cash conditional on their children's school attendance and family clinic visits. The government commissioned IFPRI to run an independent evaluation.

  • After two years, the poverty headcount among participants was 17.4% lower than controls and the poverty gap 36% smaller, with large rises in secondary-school enrollment, especially for girls.
  • Adult labour supply did not fall, consumption rose, and child illness and stunting declined — money did not displace work.
  • Limitation: the transfer was conditional on school and clinic use, so it cannot cleanly separate the effect of the cash from the effect of the conditions; later work found much of the schooling gain persisted even when conditions were eased.

Skoufias, E. (2005). PROGRESA and Its Impacts on the Welfare of Rural Households in Mexico. IFPRI Research Report 139. · IFPRI publication page

Government Social Cash Transfers — Malawi & Zambia (2010-2014)

National government programs, cluster-randomized rollout · unconditional transfers · Zambia ~USD 12/month flat per household, paid to (99% female) caregivers

Two government-run unconditional cash transfer programs — Zambia's Child Grant and Malawi's Social Cash Transfer — evaluated by cluster-randomized controlled trials under the Transfer Project (UNC Carolina Population Center, UNICEF, FAO and the national governments). These are real state programs, not NGO pilots.

  • The transfers expanded household enterprise and farm investment, and adults shifted toward family work rather than working less — direct evidence against 'cash makes people lazy.'
  • Children's school attendance and material wellbeing rose.
  • Honest counter-evidence: the same transfers also increased children's agricultural work, some potentially hazardous, because the expanded family farms and businesses drew on child labour — a genuine negative side-effect, not a null result.

de Hoop, Groppo & Handa (2020). Cash Transfers, Microentrepreneurial Activity, and Child Work. World Bank Economic Review 34(3):670-697. · Transfer Project (UNC/UNICEF/FAO)

SEWA / UNICEF Basic Income Pilots — Madhya Pradesh, India (2011-2013)

8 treatment + 12 control villages, ~6,000 recipients · randomized-village unconditional basic income · Rs 200/adult + Rs 100/child per month, paid individually

Two unconditional basic-income pilots run by the Self-Employed Women's Association (SEWA) and funded by UNICEF. Every resident of eight treatment villages — men, women and children — received a small monthly cash payment for 12-18 months with no conditions, while twelve villages served as controls. The evaluation was published as an open-access scholarly book.

  • Recipient households spent more on food, healthcare and schooling, with measurable gains in nutrition (especially for girls) and school attendance and performance.
  • Economic activity rose, not fell: more own-account work, livestock and small-business investment, and a shift away from casual/bonded labour toward self-employment, with women gaining most.
  • Limitation: the evidence is a scholarly monograph on a short (12-18 month), small, modestly-funded pilot — not a peer-reviewed journal RCT — so long-run durability and scalability are untested.

Davala, Jhabvala, Standing & Mehta (2015). Basic Income: A Transformative Policy for India. Bloomsbury Academic (open access). · OAPEN open-access repository

And the meta-analyses confirm it

Individual studies can be cherry-picked. Systematic reviews and meta-analyses can't. Two of them, both peer-reviewed, both covering the full literature, both reaching the same conclusion:

  • Crosta, Karlan, Ong, Rüschenpöhler, Udry (2024). Bayesian meta-analysis of 114 studies across 72 unconditional cash transfer programs in low- and middle-income countries. Strong positive average effects on 10 of 13 outcomes measured: household consumption, food security, monthly income, labor supply, school enrollment, psychological wellbeing, total assets, financial assets, and child height-for-age. (SSRN preprint, 2024)
  • Bastagli, Hagen-Zanker, Harman, Barca, Sturge, Schmidt, Pellerano (2016). ODI Rigorous Review. 15 years of literature (2000–2015), 165 studies, 35 indicators, 6 outcome areas. Conclusion: "There is no systematic evidence that cash transfers reduce adult labour supply, despite this often being a concern raised by policymakers and the public." (ODI, July 2016)

Together: a meta-analysis of 114 studies and a systematic review of 165 studies, both finding the same result that the twelve individual pilots above find. The objection "people will stop working" is, in 2026, no longer a serious empirical claim. It is a folk belief.

The pilots are not identical — different amounts, durations, countries, conditions, evaluation methods. They converge on one point: when you give people money without conditions, they do not stop working, do not waste it, and their lives measurably improve. The objection "this can't work" is now an empirical claim with twelve counterexamples, a 114-study meta-analysis, and a 165-study systematic review against it.

For country-scale precedents — Costa Rica abolishing its military, Norway saving its oil money, Iceland prosecuting its bankers, Bhutan rewriting its objective function, Mauritius diversifying without dismantling its welfare state, plus Botswana, South Korea, Finland, Portugal, Kerala and Uruguay (eleven in all) — see Abundance · country case studies →.

7 · Move the dials yourself

This widget is a calculator, not a forecast. It shows what the per-capita numbers become when you redirect parts of existing flows. Math is the same arithmetic used in §3, recomputed live; every input value is a real published figure (UBS 2024, SIPRI 2024, IMF 2026, World Bank 2025).

Income floor — daily, per person, every human $3.00 / day
Default = World Bank extreme-poverty line. $5.50 = lower-middle-income poverty line. $15 ≈ "no developed-country household lives in poverty."
Annual wealth tax above $1M net worth 2.0 %
Applied to the $213.8T held by ~58M people with net worth >$1M (UBS Global Wealth Report 2024). Capital-flight loss is not modeled — see "honest limits" below.
Share of global military spending redirected 10 %
Applied to $2.7T global military spending (SIPRI 2024). 10% ≈ closing one year's recent growth in global military spending.
Share of food waste/loss recovered 20 %
Applied to the 32% of global food production currently lost or wasted (FAO + UNEP, 2024). Recovery means redirecting calories that already exist, not producing more.
Annual cost of universal floor
$8.98T
8.2% of world GDP
Annual revenue from selected sources
$4.55T
wealth tax + military redirect
Food calories recovered
~278 kcal / person / day extra
enough to lift everyone above the 2,100 kcal floor without producing one additional crop
Net funding gap (positive = shortfall)
$4.43T
4.0% of world GDP
At these dials, redirecting existing flows covers about half the cost. The remainder requires additional revenue, deficit financing, or a lower floor.

This calculator is deliberately simple. It does not model: capital flight from wealth taxation, military-industry employment displacement, monetary effects of issuing $X trillion, or the regional distribution gap between where food is wasted and where people are hungry. Those are real costs — the calculator's purpose is to show that aggregate funding is in the achievable range, not to claim transition is free.

Embed this calculator on any site: embed/ has a one-line <iframe> snippet. Public domain, no attribution required.

8 · Historical context — work as a recent system

Asking "can we afford to work less" presumes that working most of one's waking hours is the human default. It isn't. For the first ~290,000 years of anatomically modern humans, there was no employment, no wage, no clock, and no possibility of being fired.

The standard reference is Richard B. Lee's 1963–1965 fieldwork with the Ju/'hoansi (Dobe !Kung) of Botswana, presented at the 1966 Man the Hunter symposium at the University of Chicago. He recorded adults spending ~12–19 hours per week on food acquisition. Comparable figures have since been reported for the Hadza, Aché, and Martu on three other continents.

The honest caveat: Lee's figure is food-acquisition only. When food processing, tool-making, childcare, water-hauling, and camp maintenance are included, the total comes to roughly 40 hours/week — similar to a modern job. The historically novel thing is not that humans invented work. It is that humans invented a system where the value of your labor is extracted by someone else, and where the labor required to access food and shelter became disconnected from the labor that produces them.

Three other facts, each from peer-reviewed primary sources, are worth knowing:

None of this is an argument to return to caves. It is one argument: the framework where most of life is wage labor to access basic survival is ~0.04% of human history. It is a recent system, not a permanent fact. Combined with the per-capita arithmetic above — that aggregate global production now exceeds aggregate need — it raises a fair question about how much of that system is currently required, and how much is inherited.

See papers/historical-context.md for the full source notes, including the substantial revision to Lee's numbers, the Sahlins "original affluent society" debate, and what evidence we deliberately excluded.

9 · Honest limits of this page

What this page does not prove:

  • It does not prove that money can be abolished. Money is a coordination technology; whether to keep it is a separate question from whether the underlying resources exist.
  • It does not prove that UBI / UHI is politically feasible. Demonstrating that the bill is payable is different from demonstrating that it will be paid.
  • It does not handle transport, refrigeration, infrastructure, governance, and conflict — all of which convert a global surplus into a local shortage. These are real costs, not accounting tricks.
  • Aggregate per-capita averages hide distribution. "Enough exists" is a necessary condition for "everyone has enough," not a sufficient one.
  • The pilot evidence is for transfers measured at thousands to millions of people over months to years. Universal global rollout is a larger step, and second-order effects (inflation, capital flight, sovereignty) would emerge that the pilots could not have captured.
  • Production data has measurement error and political bias. Numbers here reflect what major institutions publish; the institutions are not neutral.

What this page does prove: the common claim that humanity cannot physically produce enough food, water, electricity, or output to meet every human's basic needs is, in 2026, factually wrong. Whatever else stops us, it is not the soil, the rivers, the grids, or the GDP.

10 · Common objections, answered

The objections to "we already produce enough" tend to recur. Each of the following has been raised in good faith and has an empirical answer.

"If we give people a universal income, won't they stop working?"

No. Every well-designed evaluation finds either no labor-supply effect or a positive one.

"Where would the money actually come from?"

A universal $3/day floor for every human is $8.98T/year, or 8.2% of world GDP. Reservoirs from which it could be drawn:

  • Global household wealth: $449.9T (UBS 2024); $213.8T held by ~58M people with net worth >$1M. A 2% annual tax on this top tier alone yields ~$4.3T.
  • Global military spending: $2.7T/year (SIPRI 2024); 10% redirection = $270B/year.
  • Profit-shifting to tax havens: estimated $480–700B/year of corporate profit relocated to evade tax (Tørsløv, Wier & Zucman 2018; OECD has the Pillar Two minimum-tax framework partially live).
  • Closing the actual poverty gap for the 847M below the line costs well under $1T/year — comparable to a single year's growth in global military spending.

The site's §7 calculator lets you stress-test any combination.

"Wouldn't inflation just eat any universal transfer?"

It can, if the transfer is not indexed. Iran 2011 demonstrated this empirically: cumulative 136.5% inflation over five years halved the real value of the transfer and erased ~40% of its poverty-reduction effect (Salehi-Isfahani 2018). The lesson is that indexing matters; it is not a refutation of the concept. The Alaska Permanent Fund Dividend, which fluctuates with fund performance rather than being fixed in nominal terms, has held real value over 40+ years.

"Doesn't a wealth tax cause capital flight?"

Some, but typically much less than predicted, because most wealth is in illiquid assets (real estate, business ownership, retirement accounts) that cannot be moved as easily as cash. Gabriel Zucman's research estimates ~$7.6T of household wealth is offshore — recoverable through coordinated tax-haven enforcement, an active item on the OECD/G20 agenda (Pillar Two minimum tax took partial effect 2024). The site's §7 calculator does not model capital flight, and the limits section explicitly notes this.

"Isn't GDP-per-capita just an average that hides distribution?"

Yes — and the site says so in §6 of the methodology and §9 of the limits. GDP is not income. It includes capital depreciation, government spending, and net exports. Average per-capita figures show that the aggregate physical resource is sufficient, which is a necessary precondition for distribution. It is not a sufficient condition. The page exists to refute "we cannot produce enough," not to claim "distribution is solved."

"Won't lifting people out of poverty cause a population explosion?"

The opposite is empirically observed. Fertility rates fall as women gain education, healthcare access, and income — the demographic transition. The UN's medium-variant projection (WPP 2024) is that global population peaks around 10.3B in the mid-2080s and declines thereafter. Lifting people out of poverty accelerates fertility decline, not population growth.

"Doesn't innovation require inequality?"

The empirical literature on long-run growth — most notably Acemoglu, Johnson, and Robinson (2024 Nobel Prize in Economics) — finds that inclusive institutions (broad property rights, broad political voice, broad opportunity) outperform extractive ones over decades. The Nordic countries combine top-quintile innovation output per capita with low inequality.

Beyond growth, Wilkinson & Pickett's The Spirit Level (2009) documented across 23 rich democracies that for eleven distinct health and social outcomes — physical health, mental health, drug abuse, educational achievement, imprisonment rates, obesity, social mobility, social trust, violence, teenage pregnancy, and child well-being — more equal societies do measurably better, regardless of average income. The work has critics (cross-sectional rather than causal, omitted variables) but the descriptive pattern across 11 outcomes is robust and has been replicated across multiple data sets. (Equality Trust · Wilkinson & Pickett, The Spirit Level, Allen Lane, 2009.)

The argument that extreme inequality is required for innovation is not supported by cross-country evidence. The opposite case — that very high inequality impairs human-capital formation, trust, and political stability — has stronger empirical support.

"Isn't this communism?"

Tax-and-transfer is what every modern developed country already does. The arithmetic on this page is independent of political ideology — it asks whether physical production exceeds physical need, then quantifies redistribution costs. Universal basic income proposals span the political spectrum: Milton Friedman (negative income tax), F.A. Hayek (a minimum income), Martin Luther King Jr., Richard Nixon (1969 Family Assistance Plan), Andrew Yang, GiveDirectly's RCT, and Alaska's bipartisan Permanent Fund. The site shows the math and the pilots; it does not advocate a political program.

"Geographic distribution makes the global average meaningless. Water in the Sahara is not water in the Amazon."

True, and the site says exactly this — water gets the geographically uneven tag in §2 and transport/refrigeration is the first item in §9 (limits). The 287× water ratio is an aggregate-supply claim, not a local-supply claim. The food ratio (1.4×) and electricity ratio (3.8×) are less geographically locked because both can move at reasonable cost. The Omelas argument (§5) is even narrower: the resources exist physically; the question is whether institutions move them.

11 · What this asks of whoever can act

Everything above is one argument: the world already produces enough, so the shortfalls are distribution, and distribution is a choice. That leaves one question the data cannot answer — what the people who can move resources decide to do. So here, briefly, is the case made to them.

It costs less than the objection assumes. Closing the global poverty gap — paying only the distance between what people have and a $3/day floor — runs well under $1 trillion a year: about one year’s increase in world military spending ($2.7T in 2024), set against the $213.8T held by 58 million people. A dollar that is a rounding error on one balance sheet is, somewhere else, medicine or a year of school.

People exactly as capable have already chosen it. Banting and colleagues sold the insulin patent for $1 so it could not be monopolized; Jonas Salk, asked who owned the polio vaccine, said “the people… could you patent the sun?”; Carnegie funded 2,509 libraries; Chuck Feeney gave away $8 billion and died with almost nothing; Yvon Chouinard gave Patagonia to the planet. History did not record them as fools.

And a fairer world is measurably better even at the top. More equal rich societies have better health, more trust, and less violence (Wilkinson & Pickett), and in 2024 some 260 millionaires and billionaires asked to be taxed more. Every pilot (§6) and country (case studies) on this page points the same way: the suffering is not load-bearing — which means whoever ends it is not a sucker, but the person the story remembers.

The full case, every claim cited and written to be read or sent, is a short open letter: To whoever can end this →

12 · Sources & methodology

All raw values live in data/essentials.json, pilot programs in data/pilots.json, country case studies in data/case-studies.json, and the per-country drill-down in data/countries.json. Every entry has citation, year, and unit. The on-page math is transparent: every ratio is a single division of two of those values.

Full methodology — what was included, what was excluded, where averages mask inequality — is in methodology.md.

Want the full academic literature? bibliography.md has 100+ scholarly references organized by topic — Sen on famines, Piketty/Zucman/Saez on inequality, Banerjee/Duflo/Suri on cash transfers (with the two systematic reviews), Acemoglu/Robinson on institutions, Ostrom on commons, Wilkinson & Pickett on inequality and outcomes, plus the canonical anthropology and demography. If you want to argue with the page, that file is where the citations behind each claim live.

Deeper notes on specific works are in papers/: Sen's entitlement theory of famine, the cash-transfer meta-evidence, the measured wealth distribution, the anthropology of pre-industrial work, and a standing steelman of the strongest case against this page (ecological limits, aid skepticism, the local-vs-global distribution problem).

If you find a number on this page that conflicts with its cited source, or has been superseded by a newer publication, please open an issue or PR on the GitHub repository. This page exists to be corrected.