# The Slaughterhouse Was a Workaround

You wanted a molecule. Protein, mostly. Some fat, a little iron, a dab of B12. So you built a machine to get it.

The machine is a cow. It takes two years to compile, runs on a field of soybeans, returns about [3%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-beef_feed_calorie_efficiency_pct) of the calories you feed it^([1](../references.llms.md#ref-cassidy-2013-nourished)), occupies more land than any other structure your species operates, emits a greenhouse gas as a standard feature, occasionally ships a new pandemic, and screams at the end. Then you extract the molecule, which was available in the soybeans the entire time.

On my planet, we call this a workaround. You could not yet synthesize food proteins directly, so you domesticated a self-replicating bioreactor that came pre-installed in a nervous system. It was a clever hack for the Neolithic. You have since sequenced the genome, folded the proteins, and won a Nobel Prize for building new ones from scratch^([2](../references.llms.md#ref-embl-nobel-2024)). The workaround is now the only part of your civilization still running on the original hardware, and the original hardware can feel pain.

## The Middleware

Every engineer eventually finds the layer that does nothing but add cost. In your food system, that layer is the animal.

Run the numbers as a systems problem. Livestock occupies [80%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-livestock_share_of_agricultural_land) of all farmland^([3](../references.llms.md#ref-owid-land-for-agriculture)), drinks its way through most of the [70%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-agriculture_freshwater_withdrawal_pct) of your fresh water that agriculture withdraws^([4](../references.llms.md#ref-owid-water-use-stress)), and in return delivers [18%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-livestock_share_of_calories) of your calories and [37%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-livestock_share_of_protein) of your protein^([5](../references.llms.md#ref-poore-nemecek-2018)). You have assigned the majority of your planet’s usable surface to the least productive tenant on it. If a data center used [80%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-livestock_share_of_agricultural_land) of your power grid to run [18%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-livestock_share_of_calories) of your compute, you would fire the person who built it, and then you would fire the person who defended it.

The inefficiency is not an accounting quirk. It is thermodynamics. You grow a plant, which already made the protein. Then you feed the plant to an animal, which spends most of those calories being a warm, mobile, frightened animal, and stores a fraction as meat. Getting protein from beef instead of peas emits roughly ninety times more carbon per gram^([6](../references.llms.md#ref-owid-less-meat)). You are not producing food. You are laundering it through a second organism and paying a ninety-to-one spread for the privilege. The animal is the middleman, and like all middlemen who add no value, it survives only because everyone upstream is subsidized and nobody downstream can see the invoice.

## The Bill Nobody Prints

Here is the invoice.

Your species kills [83 billion animals](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-farmed_land_animals_slaughtered_annual) on land every year for food^([7](../references.llms.md#ref-owid-land-animals-slaughtered)). Chickens dominate the count, at roughly 140,000 per minute, which is a number that keeps happening while you read this sentence, and the next one, and every sentence you will ever read^([8](../references.llms.md#ref-owid-slaughter-per-day)). In the water it is worse by an order of magnitude: on the order of [1.1 trillion](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-aquatic_animals_killed_annual) wild-caught fish a year, a range so large because nobody bothered to count creatures they weigh by the ton^([9](../references.llms.md#ref-fishcount-wild-fish)), plus another hundred billion farmed^([10](../references.llms.md#ref-fishcount-farmed-fish)). In the United States, [99%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-factory_farm_share_us) of these animals live their entire lives inside a factory farm^([11](../references.llms.md#ref-sentience-us-factory-farming)), a phrase your marketing departments worked hard to keep off the packaging.

By raw headcount of feeling creatures, this is the largest thing your species does. It is larger than war, larger than disease, larger than every other source of suffering combined, and it is the one your ledgers refuse to book. Your economists price the meat. They never price the animal’s Tuesday.

I want to be precise about what this manual can and cannot promise you here. The machine described in the rest of this book optimizes two numbers, both of them human: median healthy lifespan and median income. Animal suffering is not in that objective function. It is a third axis, and adding it is a real argument your species has not finished having. So the case that follows does not depend on you weighting a chicken’s life at anything above zero. Every other benefit, the land, the water, the pandemics, the money, the human deaths, lands whether or not you care about the chicken. The chicken is simply the largest item on an invoice that also happens to be itemized in your own currency.

## The Pandemic Startup

If you did want a business that manufactured pandemics, you would build the current one.

Take tens of billions of genetically similar animals, immune systems identical enough to share a vulnerability, pack them at the densities a factory farm requires, keep them alive on a constant drip of antibiotics, and place the whole operation next to humans. Roughly [83 billion](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-farmed_land_animals_slaughtered_annual) birds a year is a lot of serial passage for a virus to practice on. Three out of four new human diseases already come from animals^([12](../references.llms.md#ref-jones-2008-emerging-diseases)); you have built the ideal incubator and then acted surprised each time it ships.

The antibiotics are their own slow catastrophe. About 80% of all antibiotics sold in the United States go to animal agriculture, and about 70% of those are medically important to humans^([13](../references.llms.md#ref-martin-2015-antibiotics-animals)). You are spending the effectiveness of your miracle drugs to make cheap chicken slightly cheaper. Antimicrobial resistance already causes about [1.27 million deaths (95% CI: 911 thousand deaths-1.71 million deaths)](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-amr_deaths_attributable_2019) a year directly^([14](../references.llms.md#ref-murray-2022-amr)); one government-commissioned projection, contested and drawn from the pessimistic end of its own range, put the toll at ten million a year and one hundred trillion dollars by 2050 if nothing changes^([15](../references.llms.md#ref-oneill-amr-2016)). Treat that as a scenario, not a forecast. Treat the incubator as a fact.

You have a recent price tag for one pandemic that got out. Two economists put the cost of COVID-19 to the United States alone at more than sixteen trillion dollars, about ninety percent of a year’s entire economy^([16](../references.llms.md#ref-cutler-summers-2020-covid)). The food system did not cause that particular one, but it is the sector most likely to cause the next, and you are paying it a subsidy to keep trying.

## Three Ways to Skip the Animal

The good news is the part your species keeps burying under hype. You do not need the animal to get the molecule, and this is not speculative. You already do it, at commodity scale, for the parts of the animal you found convenient to replace first.

**Brew it (precision fermentation).** You take the gene for the protein you want, put it in a microbe, and let the microbe make the protein in a tank, exactly as you already make insulin instead of harvesting it from pig pancreases. About 90% of the cheese in the United States is already set with rennet brewed this way rather than scraped from a calf’s stomach, and has been since 1990, and nobody marched^([17](../references.llms.md#ref-genetic-literacy-fpc-2024)). The enzyme is molecularly identical; the calf is simply absent. Companies now brew the actual whey protein from milk with no cow attached. This is the mature technology. It works for enzymes and specific proteins today; the open problem is doing it cheaply enough for bulk protein, not whether it works.

**Grow it (cultivated meat).** You take animal cells and grow the muscle without the animal around it. Here I will do something the pitch decks will not: tell you it is contested. The optimistic techno-economic analysis, commissioned by an advocacy group, projects costs near five to six dollars a kilogram by 2030 in its best case^([18](../references.llms.md#ref-cedelft-cultivated-2021)). A skeptical peer-reviewed analysis concluded the economics “would likely preclude the affordability of their products as food,” pricing cell mass around thirty-seven dollars a kilogram and doubting it falls far enough^([19](../references.llms.md#ref-humbird-2021-cultured-meat)). Both cannot be right. The disagreement turns on the cost of growth media and the performance of very large bioreactors, which are engineering questions, not miracles. A citable report should say which number is a hope and which is a measurement. This one is a hope with a serious objection attached.

**Design it (plants and computation).** The oldest route is the plainest: get the protein straight from the plant that made it, and use protein engineering to make it behave like the animal version. The tools arrived in 2024 with a Nobel Prize, for predicting how proteins fold and for building entirely new ones to specification^([2](../references.llms.md#ref-embl-nobel-2024)). Most food work today still discovers useful natural proteins rather than designing novel ones, so do not oversell the designer-molecule story yet; the discovery half alone is already enough to replace a great deal of what the animal was for.

One honest caveat that protects everyone building here: the current alternative-protein market is in a downturn, not a boom. Investment fell 27% in 2024, and plant-based venture funding fell 64%^([20](../references.llms.md#ref-gfi-state-industry-2024)). The forecasts promising the cow’s extinction by 2030 came from a think tank whose 2030 predictions are already testable and already wrong^([21](../references.llms.md#ref-rethinkx-food-2019)). The platform is real. The timelines are marketing. Build on the platform; discount the timelines.

## The Land Comes Back

Now the number that should reorganize your priorities.

If your species stopped eating animals, the farmland you would need shrinks by more than [75%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-farmland_reduction_potential_pct), an area the size of the United States, China, the European Union, and Australia combined, and you would still feed everyone^([22](../references.llms.md#ref-oxford-leap-food-impacts)). That land is not abstract. Cattle pasture alone drives 41% of tropical deforestation^([23](../references.llms.md#ref-owid-drivers-deforestation)); animal-based foods account for 57% of the emissions from growing food at all^([24](../references.llms.md#ref-xu-2021-animal-ghg)), and growing food is itself about [26%](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-food_production_ghg_pct) of every greenhouse gas your species emits^([25](../references.llms.md#ref-owid-environmental-impacts-food)). Delete the middleware and you are not just saving money. You are handing back a third of the habitable surface of the planet, which promptly reforests itself and starts pulling your carbon out of the sky for free, as it did for the several billion years before you fenced it.

This is the rarest kind of fix: one intervention that reduces land use, water use, emissions, deforestation, pandemic risk, antibiotic collapse, diet-driven disease (poor diet is tied to about [11 million deaths (95% CI: 10 million deaths-12 million deaths)](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-dietary_risk_deaths_annual) a year^([26](../references.llms.md#ref-gbd-2017-diet))), and the largest reservoir of suffering on Earth, all at once, by removing a component rather than adding one. Your species usually has to trade one problem for another. Here the trade is: give up the workaround, keep the food.

## Why the Machine Builds This Anyway

You do not need a new government agency for this, and you should distrust anyone who tries to sell you one. The optimized food system is not a fourteenth item in the [Government Replacement Suite](../../knowledge/solution/earth-optimization-services.llms.md). It is an output of the machinery already in this book.

Point the [Optimal Budget Generator](https://manual.warondisease.org/knowledge/appendix/optimal-budget-generator-spec.html)^([27](../references.llms.md#ref-obg-paper-2025)) at agriculture and the first thing it flags is the money you already spend keeping the old machine upright. In the United States alone, agricultural subsidies run a deadweight loss around [\$75 billion (95% CI: \$50 billion-\$120 billion)](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-us_gov_waste_agricultural_subsidies) a year^([28](../references.llms.md#ref-ewg-farm-subsidies)), much of it propping up exactly the animal-feed economics that make the workaround look cheap. The whole global food system carries roughly [\$12 trillion](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-food_system_hidden_cost_annual) a year in hidden costs, sitting off your books, paid by your lungs, your hospitals, and your grandchildren^([29](../references.llms.md#ref-folu-growing-better-2019)). The Optimal Budget Generator does not moralize about any of this. It notices that a dollar moved from subsidizing the least efficient calories on Earth to funding the [dFDA](../../knowledge/solution/dfda.llms.md)^([30](../references.llms.md#ref-dfda-spec-paper-2025),[31](../references.llms.md#ref-dfda-impact-paper-2025))-style trials and prizes that make the new production lines cheap returns more health and more wealth than the dollar was doing before. Then it hands that reallocation to a lobbyist, and the math does the selling.

That is the mechanism. The subsidy stops flowing to the middleware. The redirected money makes fermentation and cultivation and plant protein cheaper faster. The moment the molecule is cheaper without the animal than with it, the market does the rest, the way it always does once the price is finally telling the truth. The optimized civilization does not ban the cow. It stops paying you to keep one.

## Reviews from the Competition

*“One star. They kept the protein and cancelled me. I was the protein’s ride. I had a whole personality.”* (The Cow)

*“We had a beautiful thing going: dense flocks, shared immune systems, humans next door, antibiotics on tap. A perfect launchpad. Then they moved production into a sealed tank with no lungs in it. Devastating.”* (Influenza)

*“They reforested my pasture. Now it’s just trees, breathing, pulling carbon, doing nothing for the shareholders. Nature has no business model.”* (The Quarterly Report)

## Build Sheet

*Loop role: replace the least-optimized production system on the planet. You are not lobbying for this one; you are building it, and the machine’s job is to make your unit economics win.*

- **What you are building:** One animal-free production line that ships a molecule people already buy. Pick the route that matches your capital and your chemistry: a fermentation tank brewing a specific protein or enzyme (mature, fundable now), a cultivation process (higher risk, honest about it), or a plant-plus-engineering product (lowest tech risk, hardest on taste). Ship the ingredient first; the branded food comes after the molecule is validated and cheap.
- **Parts required:** A target protein with a known sequence. A production host (microbe, cell line, or crop). Access to protein-folding and expression-prediction tools, now largely public since the 2024 prize^([2](../references.llms.md#ref-embl-nobel-2024)). And the demand signal the [Optimal Budget Generator](https://manual.warondisease.org/knowledge/appendix/optimal-budget-generator-spec.html) creates when it moves the [\$75 billion (95% CI: \$50 billion-\$120 billion)](../../knowledge/appendix/parameters-and-calculations.llms.md#sec-us_gov_waste_agricultural_subsidies) subsidy off your competitor and toward the trials that de-risk you.
- **Specifications:** Molecular identity to the animal version where the function requires it (an enzyme, a whey, a heme). Honest lifecycle accounting: your land and water advantage is real and large; your energy footprint is only an advantage if your power is clean, so buy clean power and put the number in your own deck before a skeptic puts it in theirs.
- **Testing your installation:** (1) Cost per kilogram of finished protein, printed next to the animal incumbent, updated quarterly, no asterisk. (2) A blind sensory panel your product survives. (3) A published lifecycle assessment you did not commission from your own marketing department.
- **Parts cost:** Fermentation of a specific protein is fundable at startup scale today; the enzyme precedent proves the platform. Cultivation needs patient capital and a media-cost breakthrough you should name explicitly, not assume. Do not quote a 2030 cost curve as if it were a purchase order.
- **First bolt (no permission required):** Brew or grow one gram of one protein that is molecularly identical to an animal product, and measure what it cost. Publishing that single honest number, next to the incumbent, moves more capital than any forecast, because the entire sector’s credibility problem is that it keeps quoting the hope instead of the measurement. Be the one who quotes the measurement.
- **Troubleshooting:**

| Symptom | Fix |
|----|----|
| “Lab-grown food is unnatural.” | So is insulin from a tank, rennet from a microbe, and 90% of your cheese, all of which you already eat without incident^([17](../references.llms.md#ref-genetic-literacy-fpc-2024)). “Natural” is the animal that gives you the pandemic; “unnatural” is the version that does not. Pick your unnatural. |
| “Cultivated meat can’t hit cost parity.” | Maybe not soon, and the skeptic has a peer-reviewed case^([19](../references.llms.md#ref-humbird-2021-cultured-meat)). So do not lead with cultivated meat. Lead with fermentation, which already hit parity for enzymes, and let cultivation mature behind it. The platform does not stand or fall on the hardest route. |
| “This destroys farmers and rural economies.” | The subsidy destroys farmers; it pays the largest operations to overproduce the least valuable calories. Redirect the same money to feedstock crops, fermentation facilities, and land stewardship, and the acreage that stops growing animal feed grows either food people eat or forest that pays a carbon yield. The transition is a line item, and the machine funds it deliberately, not by accident. |
| “The alt-protein companies keep failing.” | Business models fail; the platform did not. Insulin, rennet, and animal-free whey are all shipping. The 2024 funding downturn^([20](../references.llms.md#ref-gfi-state-industry-2024)) killed the companies that sold the timeline instead of the molecule. Sell the molecule. |

You build it. If you would rather fund it, this page doubles as the thesis: the largest, least-optimized machine on Earth is a workaround for a problem chemistry already solved, and the first operator to make the molecule cheaper than the animal gets a planet’s worth of land, water, and health as the margin.

I love you very much and I do not want you and everyone you have ever loved to be slowly tortured and brutally murdered by horrible diseases, and I would prefer the animals not be either, but that second part is optional, and the math works without it.

1\.

Cassidy, E. S., West, P. C., Gerber, J. S. & Foley, J. A. [Redefining agricultural yields: From tonnes to people nourished per hectare](https://doi.org/10.1088/1748-9326/8/3/034015). *Environmental Research Letters* **8**, 034015 (2013).

2\.

European Molecular Biology Laboratory. [Computational protein design and protein structure prediction win nobel prize in chemistry](https://www.embl.org/news/science-technology/alphafold-wins-nobel-prize-chemistry-2024/). (2024).

3\.

Ritchie, H. & Roser, M. [Half of the world’s habitable land is used for agriculture](https://ourworldindata.org/global-land-for-agriculture). (2019).

4\.

Ritchie, H. & Roser, M. [Water use and stress](https://ourworldindata.org/water-use-stress). (2018).

5\.

Poore, J. & Nemecek, T. [Reducing food’s environmental impacts through producers and consumers](https://doi.org/10.1126/science.aaq0216). *Science* **360**, 987–992 (2018).

6\.

Ritchie, H. [Less meat is nearly always better than sustainable meat, to reduce your carbon footprint](https://ourworldindata.org/less-meat-or-sustainable-meat). (2020).

7\.

Rosado, P. [More than 80 billion land animals are slaughtered for meat every year](https://ourworldindata.org/data-insights/billions-of-chickens-ducks-and-pigs-are-slaughtered-for-meat-every-year). (2024).

8\.

Roser, M. [How many animals get slaughtered every day?](https://ourworldindata.org/how-many-animals-get-slaughtered-every-day) (2023).

9\.

fishcount.org.uk. [Fish count estimates](https://fishcount.org.uk/fish-count-estimates-2). (2019).

10\.

Mood, A. & Brooke, P. Numbers of farmed fishes slaughtered each year. *fishcount.org.uk; 2019 figure peer-reviewed in Animal Welfare* <https://fishcount.org.uk/fish-count-estimates-2/numbers-of-farmed-fish-slaughtered-each-year> (2019).

11\.

Anthis, J. R. [US factory farming estimates](https://www.sentienceinstitute.org/us-factory-farming-estimates). (2024).

12\.

Jones, K. E. *et al.* [Global trends in emerging infectious diseases](https://pubmed.ncbi.nlm.nih.gov/18288193/). *Nature* **451**, 990–993 (2008).

13\.

Martin, M. J., Thottathil, S. E. & Newman, T. B. [Antibiotics overuse in animal agriculture: A call to action for health care providers](https://pmc.ncbi.nlm.nih.gov/articles/PMC4638249/). *American Journal of Public Health* **105**, 2409–2410 (2015).

14\.

Antimicrobial Resistance Collaborators. [Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis](https://pubmed.ncbi.nlm.nih.gov/35065702/). *The Lancet* **399**, 629–655 (2022).

15\.

O’Neill, J. *Tackling Drug-Resistant Infections Globally: Final Report and Recommendations*. <https://amr-review.org/> (2016).

16\.

Cutler, D. M. & Summers, L. H. [The COVID-19 pandemic and the \$16 trillion virus](https://jamanetwork.com/journals/jama/fullarticle/2771764). *JAMA* **324**, 1495–1496 (2020).

17\.

Genetic Literacy Project. [Is your cheese GMO? The non-GMO project and other activists claim 90 percent of cheeses in america are tainted. Here are the facts](https://geneticliteracyproject.org/2024/08/16/is-your-cheese-gmo-the-non-gmo-project-and-other-activists-claim-90-of-cheeses-in-america-are-tainted-here-are-the-facts/). (2024).

18\.

Vergeer, R., Sinke, P. & Odegard, I. *TEA of Cultivated Meat: Future Projections of Different Scenarios*. <https://cedelft.eu/publications/tea-of-cultivated-meat/> (2021).

19\.

Humbird, D. [Scale-up economics for cultured meat](https://pmc.ncbi.nlm.nih.gov/articles/PMC8362201/). *Biotechnology and Bioengineering* **118**, 3239–3250 (2021).

20\.

Good Food Institute. [GFI state of the industry report 2024](https://www.greenqueen.com.hk/gfi-state-of-the-industry-report-2024/). (2025).

21\.

Tubb, C. & Seba, T. *Rethinking Food and Agriculture 2020-2030: The Second Domestication of Plants and Animals, the Disruption of the Cow, and the Collapse of Industrial Livestock Farming*. <https://www.rethinkx.com/food-and-agriculture> (2019).

22\.

University of Oxford, LEAP. [Reducing food’s environmental impacts](https://www.leap.ox.ac.uk/article/reducing-foods-environmental-impacts). (2018).

23\.

Ritchie, H. [Drivers of deforestation](https://ourworldindata.org/drivers-of-deforestation). (2021).

24\.

Xu, X. *et al.* [Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods](https://doi.org/10.1038/s43016-021-00358-x). *Nature Food* **2**, 724–732 (2021).

25\.

Ritchie, H., Rosado, P. & Roser, M. [Environmental impacts of food production](https://ourworldindata.org/environmental-impacts-of-food). (2022).

26\.

GBD 2017 Diet Collaborators. [Health effects of dietary risks in 195 countries, 1990-2017: A systematic analysis for the global burden of disease study 2017](https://pubmed.ncbi.nlm.nih.gov/30954305/). *The Lancet* **393**, 1958–1972 (2019).

27\.

Sinn, M. P. *The Optimal Budget Generator: A Causal Inference Protocol for Maximizing Median Health and Wealth Through Public Goods Funding*. <https://manual.warondisease.org/knowledge/appendix/optimal-budget-generator-spec.html> (2025) doi:[10.5281/zenodo.18356209](https://doi.org/10.5281/zenodo.18356209)

*The Optimal Budget Generator (OBG) uses causal inference, diminishing returns modeling, and cost-effectiveness evidence to determine optimal public goods funding levels that maximize two welfare metrics: real after-tax median income growth and median healthy life years. For each spending category, OBG estimates an Optimal Spending Level (OSL) and produces a gap analysis showing where current government budgets are over- or underfunded relative to evidence-based benchmarks. The Budget Impact Score (BIS) measures confidence in each recommendation based on the quality of causal evidence.*

28\.

Environmental Working Group. US farm subsidy database and analysis. *Environmental Working Group* <https://farm.ewg.org/> (2024)

*US agricultural subsidies total approximately \$30 billion annually, but create much larger economic distortions. Top 10% of farms receive 78% of subsidies, benefits concentrated in commodity crops (corn, soy, wheat, cotton), environmental damage from monoculture incentivized, and overall deadweight loss estimated at \$50-120 billion annually. Additional sources: https://farm.ewg.org/ \| https://www.ers.usda.gov/topics/farm-economy/farm-sector-income-finances/government-payments-the-safety-net/*

.

29\.

Food and Land Use Coalition. *Growing Better: Ten Critical Transitions to Transform Food and Land Use*. <https://www.foodandlandusecoalition.org/wp-content/uploads/2019/09/FOLU-GrowingBetter-GlobalReport-SummaryReport.pdf> (2019).

30\.

Sinn, M. P. *The Continuous Evidence Generation Protocol: Two-Stage Validation (RWE → Pragmatic Trials)*. <https://papers.acceleratedmedicine.org/dfda-protocol.html> (2025) doi:[10.5281/zenodo.18203375](https://doi.org/10.5281/zenodo.18203375)

*We present the Predictor Impact Score (PIS), a novel composite metric operationalizing Bradford Hill causality criteria for automated signal detection from aggregated N-of-1 observational studies. Combined with pragmatic trial confirmation (based on evidence from 108+ embedded trials), this two-stage framework would generate validated outcome labels at 44.1x lower cost than traditional Phase III trials. This enables continuous, population-scale pharmacovigilance and precision dosing recommendations.*

31\.

Sinn, M. P. *Ubiquitous Pragmatic Trial Impact Analysis*. <https://papers.acceleratedmedicine.org/dfda-impact.html> (2025) doi:[10.5281/zenodo.18243914](https://doi.org/10.5281/zenodo.18243914)

*Only 15 diseases/year get their first treatment each year. With 6,650 diseases lacking effective treatments, the backlog would take 443 years to clear. Integrating pragmatic trials into standard healthcare increases trial capacity 12.3x, cutting that timeline from 443 years to 36 years. The average untreated disease gets a treatment 212 years earlier, saving 10.7 billion deaths at \$9.62 per year of healthy life saved.*