Opening requested calculation...

Listen Get

Please Select an Earth: A) Everyone Gets Rich B) Somalia, but Everywhere

A World Without the Political Dysfunction Tax, or Terminal Parasitic Load by 2037

Keywords

war-on-disease, 1-percent-treaty, medical-research, public-health, peace-dividend, decentralized-trials, dfda, dih, victory-bonds, health-economics, cost-benefit-analysis, clinical-trials, drug-development, regulatory-reform, military-spending, peace-economics, decentralized-governance, wishocracy, blockchain-governance, impact-investing

Your civilization hits 25% of GDP by 2033 and 50% by 2040, at which point the destructive economy has consumed half of everything. But the historical evidence says civilizations do not make it to 50%. Every economy that has collapsed, from the Soviet Union to Venezuela to Zimbabwe, crossed the point of no return between 35% and 45% total extraction. By 50%, the patient is already a skeleton. The death spiral begins earlier.

This chapter models two paths: the one you’re on, and the one where you redirect the murder budget. I’ve lived one of them. Your trend data projects the other.

Two Paths

Your Current Trajectory

Your economists project 2.5% annual growth. This projection assumes no major wars, no pandemics worse than COVID, no catastrophes, and no acceleration of any trend that is currently accelerating. It is not a baseline. It is the best-case scenario for a civilization that spends more on explosion technology than on figuring out why its own bodies stop working, and it requires 20 consecutive years of getting lucky. Your species has never had 20 consecutive years of getting lucky.

Here is what is actually happening.

Your military spending is accelerating, not stabilizing. Global military spending hit $2.72T in 2024, up 9.4% in a single year, the steepest rise since the Cold War⁵⁵. That was the 10th consecutive annual increase. The 10-year compound growth rate is 3.4% in real terms. Your nuclear arsenals are being modernized, not reduced. You are deploying autonomous weapons systems without governance frameworks, which means you are building machines that make irreversible decisions and then not telling them when to stop.

War funds cybercrime. Cybercrime funds war. Your military spending isn’t the whole destructive economy. Cybercrime costs your civilization $10.5T per year⁴⁷, growing at 15% annually. If measured as a country, it would be the third-largest economy on Earth, after the US and China. And this is not a separate problem from war. North Korea funds its nuclear program through state-sponsored hacking, stealing $2 billion in cryptocurrency in 2025 alone (up 51% from the previous year), accounting for 60% of all global crypto theft¹⁴¹. Russia finances military operations with ransomware revenue. China’s cyber-espionage steals the intellectual property that its military-industrial complex can’t develop on its own. Cybercrime is war by other means, and it is more profitable than the global trade of all major illegal drugs combined. FBI-reported cybercrime losses in the US alone grew 33% in a single year, from $12.3 billion to $16.6 billion¹⁴². And 99% of cybercrimes go unpunished¹⁴³, because your enforcement systems were designed for a world where criminals had to physically show up.

Some of your cybersecurity analysts project this growth will plateau¹⁴⁴, arguing the market is too large to sustain double-digit growth. This is the same logic as the 2.5% GDP projection: it requires every accelerating trend to simultaneously stop accelerating. The analysts projecting a plateau are selling cybersecurity products; their business model depends on the premise that defenses can keep pace. Meanwhile, their own customers’ actual losses grew 33% last year. The analysts’ spreadsheet says plateau. The FBI’s spreadsheet says 33%. The FBI’s spreadsheet is not trying to sell you a firewall.

AI amplifies whatever you point it at, and right now it is pointed at a recursive loop. A single AI agent can probe thousands of systems simultaneously, generate custom phishing attacks in any language, and find vulnerabilities faster than your entire cybersecurity workforce combined. But the real threat is not AI-assisted hacking. It is the feedback loop: steal money, buy compute, train better AI hackers, steal more money, buy more compute. Every component of this loop exists today. North Korea steals cryptocurrency, launders it through DeFi within weeks, and uses the proceeds to fund state capacity. The moment someone connects the steal-to-compute-to-steal pipeline end-to-end (and the incentive to do so is overwhelming for state actors with nothing to lose), cybercrime growth stops being linear and starts being recursive. AI-generated phishing is up 1,265% since 2022. Deepfake fraud is up 2,137%¹⁴⁵. AI-enhanced fraud is 4.5 times more profitable than traditional methods. Defense is structurally asymmetric: defenders must protect every surface, attackers need one vulnerability. AI amplifies the asymmetry, not reduces it.

Your military is racing to deploy autonomous weapons. Your adversaries are racing to deploy autonomous hackers. Under the Wishonian Optimal Governance Trajectory, a billion AI-enhanced researchers cure diseases. Same technology. Same capability. Different direction. The tool doesn’t care. You have to choose.

Add it up. Your destructive economy (military spending plus its cybercrime offspring, not counting the Political Dysfunction Tax⁴⁸ or the cost of disease) is already $13.2T per year, which is 11.5% of global GDP. Both components are growing faster than your economy, and AI is about to accelerate both. This is the trend line nobody puts on the 2.5% growth slide, because if you did, the slide would need a different title.

Your 2.5% projection is not the trajectory you are on. It is the trajectory you would be on if you stopped doing all the things you are currently doing more of. Projecting 2.5% growth while your destructive economy grows faster than your productive one is like projecting weight loss while eating more every day. The spreadsheet says one thing. The trend says another. The trend does not care about the spreadsheet.

So How Long Do You Have?

At current growth rates, your destructive economy reaches 25% of GDP by 2033 and 50% by 2040.

The Soviet Union devoted an estimated 15-18% of GDP to military spending before it collapsed^146,147, but that was just the line item your historians noticed. Add the shadow economy (20-27% of GDP), the central planning waste, and the institutional rot, and total Soviet extraction was 40-50% of GDP when the system broke. The military spending did not kill it alone. The military spending killed it in combination with everything else that was eating the same host. The late Roman Empire ran a similar pattern: 60-80% of government expenditure on the military¹⁴⁸, plus currency debasement, plus rising tax burdens, plus a bureaucracy that existed primarily to feed itself. Your destructive economy is already 11.5% of GDP and accelerating, and that counts only military and cybercrime. You are not counting corruption. You are not counting the Political Dysfunction Tax. You are not counting the cost of disease. The Soviet Union was not counting either, right up until the counting stopped mattering.

You Already Know What This Looks Like

If the Soviet Union and Rome sound too distant to worry about, here is what economic collapse looks like right now, on your planet, to people who are alive while you read this.

Venezuela’s GDP fell 80% in under a decade. GDP per capita went from $12,400 to $4,200. The minimum wage is $4 per month. 82% of the population lives in poverty. 8 million people fled the country, the largest displacement in the Western Hemisphere. A Harvard economist called it “the biggest economic collapse in human history outside of war or state collapse”¹⁴⁹.

Lebanon’s currency lost 98% of its value. GDP per capita dropped from $8,000 to $3,000 in three years. Poverty tripled from 12% to 44% in a decade, and 73% of the population lives in multidimensional poverty. The electricity grid provides 1 to 3 hours per day. The banking system is insolvent, and people’s life savings simply vanished¹⁵⁰.

Somalia has a GDP per capita of $592, ranks last out of 193 countries on the Human Development Index, and 54% of its population lives below the poverty line. It has been a failed state for over 30 years. Recovery is not in progress. Recovery is not planned. The word “recovery” is not applicable to a country that has not had a functioning central government since 1991¹⁵¹. Al-Shabaab collects approximately $180 million per year from Somali citizens through a tax system more efficient than the federal government’s¹⁵². Total extractive share: 80-90% of GDP. What remains of the productive economy is remittances from Somalis who left.

Zimbabwe’s GDP fell 50% between 1999 and 2008. The government was spending $27 million per month on a foreign war in the Congo that it denied was happening, seizing productive farmland and handing it to political allies who did not farm, running a quasi-fiscal deficit of 25% of GDP through the central bank, and stealing an estimated $2 billion in diamond revenue from the Marange fields¹⁵³. Total extractive burden: 40-55% of GDP. Inflation peaked at 79.6 billion percent per month. The IMF documented a cumulative GDP decline of roughly 50% and quasi-fiscal activities by the Reserve Bank equivalent to 36% of GDP¹⁵⁴. This was the worst peacetime economic contraction in recorded history.

Argentina’s total extraction hit 35-40% of GDP by 2001: government overspending, provincial deficits, capital flight of $29 billion in a single year (10% of GDP walking out the door), and an informal economy large enough to have its own GDP. Result: sovereign default on $93 billion, unemployment at 25%, and banks freezing everyone’s savings¹⁵⁵. The economy contracted roughly 20% in four years. The interesting part is that Argentina recovered, because the extractive share fell below the threshold after the crisis. Most of these countries do not recover, because the extractive share does not fall.

Haiti’s gangs control 80-90% of Port-au-Prince and significant territory beyond the capital¹⁵⁶. Every commercial transaction passes through extortion. The government collects 13% of GDP in taxes; the gangs collect more. $3.8 billion in PetroCaribe funds was embezzled. Total extractive burden: 60-80% of GDP. GDP per capita: $1,400. This is what terminal parasitic load looks like when the parasites ARE the economy.

The Democratic Republic of Congo sits on an estimated $24 trillion in mineral wealth and has a GDP per capita of $650. Over 100 armed groups control 20% of the territory and extract $900 million per year from mining alone¹⁵⁷. The informal economy is 42% of GDP. Total extractive share: 55-70%. The country has been “developing” for 65 years. It is not developing. It is being eaten.

The Pattern

These are not cautionary tales. They are data points. Organize every collapsed economy by its total extractive burden, the combined share of GDP consumed by military spending, corruption, crime, misallocation, and capital flight, and three bands emerge.

35-45%: the death spiral begins. The Soviet Union (40-50% total extraction including the shadow economy), Yugoslavia (35-45% before dissolution, with the federal government spending 50-60% of its budget on defense alone¹⁵⁸ and Serbia secretly issuing $1.4 billion in credits to regime allies¹⁵⁹), Argentina (35-40%), Zimbabwe (40-55%). At this level, productive people start running the numbers and concluding that the numbers do not favor staying productive. Brain drain accelerates. Capital flees. The economist Mancur Olson identified the mechanism: when extraction is fragmented among competing actors, no single extractor has incentive to limit their take, because the cost of their extraction is spread across the whole economy while the benefit is theirs alone¹⁶⁰. Olson called them “roving bandits.” Your civilization is manufacturing them at scale. Your military-industrial complex, your cybercrime syndicates, your corrupt institutions, each extracts independently. None internalizes the cost to the whole system. Total extraction exceeds the sustainable maximum not because any single actor is greedy, but because the structure makes restraint irrational.

50-65%: collapse becomes irreversible. Venezuela (60-70%), Lebanon (50-65%), Syria (45-65%, where one man’s crony network controlled 60% of the economy¹⁶¹), North Korea (50-60%, spending 22-24% of GDP on military alone¹⁶² before counting total state extraction). Recovery at this stage requires not reform but replacement. The institutions that could fix the problem ARE the problem. The people who could fix the institutions have left.

70-90%: failed state equilibrium. Somalia (80-90%), Haiti (60-80%), DRC (55-70%), Libya post-2014 (70-80%, where oil accounts for 65% of GDP and 98% of government revenue¹⁶³, and militias decide who gets it). The productive economy is a rounding error. These countries are not “developing.” They have reached equilibrium. The equilibrium is misery. And it is stable, because the extractive structure is self-reinforcing: the worse things get, the more rational extraction becomes, which makes things worse.

The death spiral begins at 35%. Not 50%. The 50% number is where you end up after the spiral has been running for a while and everyone who could leave has left. By 50%, the patient is not sick. The patient is a skeleton that has not yet been informed.

On Wishonia, we call 35% terminal parasitic load: the point where enough of the economy is devoted to extraction that the death spiral becomes self-reinforcing and recovery without external intervention becomes historically unprecedented. Your global economy is running the same pattern at a larger scale. The difference is that when Venezuela crosses 35%, Venezuelans can flee to Colombia. When the global economy crosses 35%, there is no Colombia.

The system does not need to reach 50% to break. It needs to reach a prior threshold, which we call the rational crime threshold: the point where productive people start concluding that building things is less rewarding than stealing them. The rational crime threshold is when stealing beats building for individuals. Terminal parasitic load is when enough individuals have crossed that threshold that the civilization cannot recover. The first is a temperature. The second is the fever that kills you. The historical evidence says the fever starts at 35% and kills at 50%. Your destructive economy (military plus cybercrime alone, not counting corruption, not counting the shadow economy, not counting the Political Dysfunction Tax) is at 11.5% and growing faster than your productive economy. At that rate, even the narrow metric crosses 35% by 2037. But that is the narrow metric. The real total, including all the things you are not counting, is higher. Every percent higher moves the timeline forward.

Here is the loop. Your governments print money to fund military spending, which devalues wages through inflation, which makes legitimate work pay less, which pushes talent toward the destructive economy, which grows, which justifies more military spending. Meanwhile, every country the US has bombed, sanctioned, or regime-changed has learned a lesson: conventional military resistance against Western economies is suicide, but draining them through cyber operations is cheap, effective, and essentially unpunished. You spent decades teaching adversarial nations that their only viable strategy is to parasitize your productive economy from the inside. They were excellent students. North Korea cannot build an aircraft carrier, but it can steal $1.5 billion in cryptocurrency in a single afternoon¹⁶⁴. That is the rational response to the incentive structure you built.

Domestically, the rational crime threshold is already here. Cybercrime has a higher return on investment than most legitimate businesses, and 99% of it goes unpunished. When a software engineer can earn more in a week of ransomware than in a year of building products, crossing the rational crime threshold is not a moral failure. It is an economic one. You made legitimate work pay poorly by diverting productive investment into destruction, then act surprised when people choose the option that pays. Every year the gap between “crime pays” and “work pays” gets wider, more talent flows to the wrong side of the ledger. This is a recruitment pipeline for the destructive economy, funded by the destructive economy, producing the poverty that feeds the destructive economy.

The Wishonian Optimal Governance Trajectory breaks this loop at every link. Redirect military spending to medical research and you stop manufacturing the poverty. Cure diseases and you make the workforce productive enough that legitimate work pays better than crime. Make everyone richer and you eliminate the economic desperation that drives both state-sponsored hacking and individual cybercrime. You do not solve cybercrime with better firewalls. You solve it by making the productive economy so rewarding that crime becomes irrational. On Wishonia, we did not outlaw theft. We made everyone rich enough that stealing became more effort than it was worth. The crime rate did not decline. It simply became pointless.

On this path, GDP does not decline gracefully. Supply chains collapse. Institutions lose legitimacy. Regional conflicts merge. The experts who wrote papers about “strategic equilibrium” would write new papers explaining why the old papers were still basically correct, but the journals are on fire. The terminal value of this path is not 2.5% growth. It is whatever number you get when you multiply any positive number by zero surviving humans. The math is elegant. The humans are not.

What We Did Instead

Here’s what happened on my planet. We looked at the trend line, noticed where it went, and decided to point it somewhere else. We signed the treaty, redirected the weapons budget, and then realized the same logic applied to everything else that was broken. So we pointed Incentive Alignment Bonds¹⁶⁵ at all of it. This manual calls the complete version of that approach the Earth Optimization Protocol. This took us about six years. It would have taken three, but we spent the first three arguing about it, because we are also a species that evolved from animals, and arguing is what animals do when you give them language.

The peace dividend chapter showed the direct savings. Here’s what happens when those savings compound. (AI is excluded from this model because it helps everybody equally. The difference between these paths is purely about where you point your money and your engineers.)

We stopped pointing engineers at missiles and pointed them at medicine. This is the part where your economists get excited, because your species actually did this once before. After World War II, you cut military spending by 87% in two years (1945 to 1947, from 40% of GDP to 3.5%) and got the biggest economic boom in your history. Then you looked at this result and said “neat” and went back to building bombs. This is the most human thing I have ever observed, and I have observed a lot of human things. We used a more conservative 3-year transition ramp to 87.6% reallocation. Military research accidentally gave you the internet, GPS, and jet engines. Medical research has already accidentally given you CRISPR, mRNA platforms, and AI protein folding. You keep discovering world-changing technologies as a side effect of research, like a chef who keeps accidentally inventing new elements while trying to make soup. Imagine what happens when you do it on purpose. The research spillover multiplier (2x (95% CI: 1.5x-2.5x)) is from your own published studies. You published the evidence that you should stop doing what you’re doing, and then you kept doing it. I cannot stress enough how characteristic this is.

People stopped being sick. Disease currently costs your civilization 13% of GDP: $5 trillion in people too sick to work plus $9.9 trillion in trying to fix them. That is $15 trillion per year, which is the entire GDP of China, being spent on the consequences of not curing diseases instead of on curing diseases. You currently produce first treatments for about 15 diseases per year, which at that rate means you’ll cure all 6.65 thousand (95% CI: 5.7 thousand-8.24 thousand) diseases you have no treatment for in approximately never. Your decentralized FDA^166,167, scaled to the physical ceiling of how many humans can participate in trials (566x (95% CI: 534x-597x)), clears 100% of them in 20 years. As diseases get cured, all that lost productivity comes back as growth. We watched it happen in real time. It was like watching someone take their foot off the brake and being surprised the car went faster.

Our governments stopped losing money to stupidity. Your Political Dysfunction Tax documents $101T (95% CI: $83.3T-$191T) per year in money your governments waste on corruption, redundancy, regulations written before computers existed, and nine agencies doing the same thing badly. That last part bears repeating: you have nine agencies doing the same thing. Not nine agencies doing nine things. Nine agencies doing one thing, and the one thing is paperwork about the other eight agencies. We used Incentive Alignment Bonds to pay people for fixing these problems instead of perpetuating them. Your species had never tried paying people to solve problems instead of perpetuate them. When we suggested it, your economists called it “radical.” On Wishonia, we call it “obvious.” The recovered money went to whatever produced the most value: migration reform, lead elimination, science funding, regulatory modernization.

These three things compound on each other. Better-funded research produces innovations, which cure diseases, which make people healthier and more productive, which grows the economy, which funds more research, which produces more innovations. It’s a virtuous cycle. You’re currently running the vicious version, where sick people can’t work, so the economy shrinks, so there’s less money for research, so people stay sick. You have been running this version for your entire history as a civilization. You could have switched at any time. You did not switch. I find this fascinating in the way that a veterinarian finds a dog that keeps eating bees fascinating.

Here is one cycle of the loop, so you can check it yourself.

Year one. You redirect $27.2B per year from military spending to medical research. Your own published studies show each research dollar generates 2x (95% CI: 1.5x-2.5x) in economic returns, so that $27.2B immediately produces twice its value in adjacent-sector growth: biotech, computing, materials science. That is the same spillover mechanism that accidentally gave you the internet when you were trying to build missiles. Meanwhile, disease is costing you 13% of GDP. You just heard the number: fifteen trillion a year in sick workers and medical bills. Your decentralized FDA starts curing diseases. Even curing a small fraction of a fifteen-trillion-dollar problem returns more than you spent on the research. The output exceeds the input.

Year two. You have last year’s redirect, plus the recovered productivity from the diseases you cured. The research budget is effectively bigger, without anyone allocating a single additional dollar. More research. More cures. More recovered productivity. Bigger effective budget. Year three, bigger again. By year five, you are funding cures with money that only exists because earlier cures freed up workers who generated it. The loop is running on its own output.

This is compound interest. The same math your retirement account uses. You trust it there. The only difference is the return rate. Your retirement account compounds at seven percent because money earns money. This compounds faster because each cure unlocks a permanent slice of that 13% GDP drag, and that slice earns returns every year after. A disease cured in year one is still generating productivity in year twenty. Every cure is a permanent raise for the entire economy.

By year 20, our GDP grew at 25.4% (95% CI: 18.8%-36.4%) per year and reached $10.7 quadrillion (95% CI: $3.64 quadrillion-$57.2 quadrillion). Your alternative, as we just established, is systemic collapse by 2033. That is the comparison. Not “Wishonia vs. steady growth.” Wishonia vs. the trajectory you are actually on.

And here’s the conservative floor for the skeptics (your planet has many): the “treaty-only” path. You redirect the military budget to medical research, you cure diseases, and you change nothing else. You leave all nine agencies doing the same thing. You leave the corruption. You leave the regulations written before computers existed. You just move the murder money and let the cures compound. Even that cowardly half-measure grows at 17.9% (95% CI: 11.3%-26.3%) per year and reaches $3.11 quadrillion (95% CI: $974T-$12.2 quadrillion). Then fixing governance on top of that, which is what we actually did, is worth another 3.43x (95% CI: 3.41x-4.68x). That multiplier is what “not being stupid” compounds to over 20 years. On Wishonia, we find it remarkable that “stop being stupid” is considered an aggressive growth strategy. On your planet, it apparently is.

The Decision

“But what if it doesn’t work as well as you claim?” I love this question. Your species asks it exclusively about good ideas. Nobody ever asks “but what if the arms race doesn’t work as well as we claim?” about the thing that has a nonzero probability of killing everyone. Your risk assessment is applied in one direction only, like a door that only locks from the outside.

You do not have a stable middle path. The 2.5% “baseline” is not a path you can stay on; it is a fantasy that requires every accelerating trend to simultaneously stop accelerating. Your actual choice is between a path that cures diseases and a path where the journals are on fire. Both require effort. Only one of them has a nonzero GDP at the end.

What This Means Per Person

GDP in the trillions is abstract. Here’s what it means for actual humans.

On your current trajectory, average income by year 20 is a question your economists cannot answer, because their models do not have a variable for “the journals are on fire.” Under the Wishonian Optimal Governance Trajectory, average income reaches $1.16M (95% CI: $395K-$6.22M). Even the Minimum Sustainable Trajectory (1% Treaty)¹⁶⁸ gets you to $339K (95% CI: $106K-$1.33M). For those of you keeping score, that is the difference between “everyone can afford to cure their diseases” and “the destructive economy has consumed the productive one.”

These are GDP per capita using UN population projections of 9.2 billion of people for 2045. Average, not median, because we make no assumptions about distribution. Your species worries a lot about inequality, which is understandable when some people can’t afford medicine and other people are building private spacecraft. But your own research shows that happiness stops increasing meaningfully after about $75,000 per year. Once everyone is above that line, the fact that some people are further above it becomes approximately as interesting as the fact that some mountains are taller than other mountains. Nobody protests mountain inequality. Under the Wishonian Optimal Governance Trajectory, the floor is so high that the gap between floor and ceiling is a rounding error on quality of life.

Over a remaining lifespan, those annual numbers compound into something your species should find difficult to ignore (but will). The Minimum Sustainable Trajectory (1% Treaty) multiplies your cumulative lifetime earnings by 12x (95% CI: 3.81x-47.5x) relative to the current trajectory. The Wishonian Optimal Governance Trajectory reaches 39.8x (95% CI: 13.3x-218x). In dollars: the average human gains $14.7M (95% CI: $3.45M-$67.7M) in additional lifetime income under the treaty alone, or $51.9M (95% CI: $15.1M-$315M) under the Wishonian Optimal Governance Trajectory. The opportunity cost of inaction is not abstract. It is the largest number most humans will never bother to calculate.

The Wishonia numbers look implausible only if you compare them to your fantasy baseline instead of your actual trajectory. Compared to collapse, any positive number looks implausible. This time someone is steering. (It’s you. I’m just the GPS. A GPS that judges you, but still a GPS.)

Go Ahead, Change the Numbers

Every input to this model is a named variable you can look up and argue with. I know you will, because arguing is your second-favorite activity after building weapons. The disease cure fraction (100%) comes from trial-capacity scaling with a physical participant ceiling. The research spillover multiplier (2x (95% CI: 1.5x-2.5x)) comes from your own published studies. If any assumption is wrong, change it. Cut them all in half. Cut them in quarters. The model still produces a civilization instead of a collapse, because no plausible adjustment to any single variable eliminates the effect of three compounding mechanisms running simultaneously for 20 years. Compound growth doesn’t care about your skepticism. It’s math. Math doesn’t negotiate.

The question is not “will the treaty produce exactly these returns?” The question is “does redirecting murder money to medicine money produce better results than not doing so?” The answer is yes under every scenario where you prefer being alive to being dead. If you do not prefer being alive to being dead, this manual is not for you, and I wish you well in whatever you’re doing instead.

The peace dividend gives you the annual numbers. The Wishonia model gives you the institutional design. The Political Dysfunction Tax gives you the waste ledger. The Incentive Alignment Bonds give you the mechanism that fixes it. This chapter gives you what happened when we ran them forward 20 years. The math is simple. The choice should be simpler. And yet.

1.

NIH Common Fund. NIH pragmatic trials: Minimal funding despite 30x cost advantage. NIH Common Fund: HCS Research Collaboratory https://commonfund.nih.gov/hcscollaboratory (2025)

The NIH Pragmatic Trials Collaboratory funds trials at $500K for planning phase, $1M/year for implementation-a tiny fraction of NIH’s budget. The ADAPTABLE trial cost $14 million for 15,076 patients (= $929/patient) versus $420 million for a similar traditional RCT (30x cheaper), yet pragmatic trials remain severely underfunded. PCORnet infrastructure enables real-world trials embedded in healthcare systems, but receives minimal support compared to basic research funding. Additional sources: https://commonfund.nih.gov/hcscollaboratory | https://pcornet.org/wp-content/uploads/2025/08/ADAPTABLE_Lay_Summary_21JUL2025.pdf | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5604499/

.

2.

NIH. Antidepressant clinical trial exclusion rates. Zimmerman et al. https://pubmed.ncbi.nlm.nih.gov/26276679/ (2015)

Mean exclusion rate: 86.1% across 158 antidepressant efficacy trials (range: 44.4% to 99.8%) More than 82% of real-world depression patients would be ineligible for antidepressant registration trials Exclusion rates increased over time: 91.4% (2010-2014) vs. 83.8% (1995-2009) Most common exclusions: comorbid psychiatric disorders, age restrictions, insufficient depression severity, medical conditions Emergency psychiatry patients: only 3.3% eligible (96.7% excluded) when applying 9 common exclusion criteria Only a minority of depressed patients seen in clinical practice are likely to be eligible for most AETs Note: Generalizability of antidepressant trials has decreased over time, with increasingly stringent exclusion criteria eliminating patients who would actually use the drugs in clinical practice Additional sources: https://pubmed.ncbi.nlm.nih.gov/26276679/ | https://pubmed.ncbi.nlm.nih.gov/26164052/ | https://www.wolterskluwer.com/en/news/antidepressant-trials-exclude-most-real-world-patients-with-depression

.

3.

CNBC. Warren buffett’s career average investment return. CNBC https://www.cnbc.com/2025/05/05/warren-buffetts-return-tally-after-60-years-5502284percent.html (2025)

Berkshire’s compounded annual return from 1965 through 2024 was 19.9%, nearly double the 10.4% recorded by the S&P 500. Berkshire shares skyrocketed 5,502,284% compared to the S&P 500’s 39,054% rise during that period. Additional sources: https://www.cnbc.com/2025/05/05/warren-buffetts-return-tally-after-60-years-5502284percent.html | https://www.slickcharts.com/berkshire-hathaway/returns

.

4.

World Health Organization. WHO global health estimates 2024. World Health Organization https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates (2024)

Comprehensive mortality and morbidity data by cause, age, sex, country, and year Global mortality:  55-60 million deaths annually Lives saved by modern medicine (vaccines, cardiovascular drugs, oncology):  12M annually (conservative aggregate) Leading causes of death: Cardiovascular disease (17.9M), Cancer (10.3M), Respiratory disease (4.0M) Note: Baseline data for regulatory mortality analysis. Conservative estimate of pharmaceutical impact based on WHO immunization data (4.5M/year from vaccines) + cardiovascular interventions (3.3M/year) + oncology (1.5M/year) + other therapies. Additional sources: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates

.

5.

GiveWell. GiveWell cost per life saved for top charities (2024). GiveWell: Top Charities https://www.givewell.org/charities/top-charities

General range: $3,000-$5,500 per life saved (GiveWell top charities) Helen Keller International (Vitamin A): $3,500 average (2022-2024); varies $1,000-$8,500 by country Against Malaria Foundation: $5,500 per life saved New Incentives (vaccination incentives): $4,500 per life saved Malaria Consortium (seasonal malaria chemoprevention):  $3,500 per life saved VAS program details:  $2 to provide vitamin A supplements to child for one year Note: Figures accurate for 2024. Helen Keller VAS program has wide country variation ($1K-$8.5K) but $3,500 is accurate average. Among most cost-effective interventions globally Additional sources: https://www.givewell.org/charities/top-charities | https://www.givewell.org/charities/helen-keller-international | https://ourworldindata.org/cost-effectiveness

.

6.

AARP. Unpaid caregiver hours and economic value. AARP 2023 https://www.aarp.org/caregiving/financial-legal/info-2023/unpaid-caregivers-provide-billions-in-care.html (2023)

Average family caregiver: 25-26 hours per week (100-104 hours per month) 38 million caregivers providing 36 billion hours of care annually Economic value: $16.59 per hour = $600 billion total annual value (2021) 28% of people provided eldercare on a given day, averaging 3.9 hours when providing care Caregivers living with care recipient: 37.4 hours per week Caregivers not living with recipient: 23.7 hours per week Note: Disease-related caregiving is subset of total; includes elderly care, disability care, and child care Additional sources: https://www.aarp.org/caregiving/financial-legal/info-2023/unpaid-caregivers-provide-billions-in-care.html | https://www.bls.gov/news.release/elcare.nr0.htm | https://www.caregiver.org/resource/caregiver-statistics-demographics/

.

7.

Forbes. Forbes world’s billionaires list 2024. (2024)

Forbes identified a record 2,781 billionaires worldwide with combined net worth of $14.2 trillion, 141 more than 2023. Bernard Arnault (LVMH) topped the list at $233 billion.

8.

CDC MMWR. Childhood vaccination economic benefits. CDC MMWR https://www.cdc.gov/mmwr/volumes/73/wr/mm7331a2.htm (1994)

US programs (1994-2023): $540B direct savings, $2.7T societal savings ( $18B/year direct,  $90B/year societal) Global (2001-2020): $820B value for 10 diseases in 73 countries ( $41B/year) ROI: $11 return per $1 invested Measles vaccination alone saved 93.7M lives (61% of 154M total) over 50 years (1974-2024) Additional sources: https://www.cdc.gov/mmwr/volumes/73/wr/mm7331a2.htm | https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(24)00850-X/fulltext

.

9.

CDC. Childhood vaccination (US) ROI. CDC https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6316a4.htm (2017).

10.

U.S. Bureau of Labor Statistics. CPI inflation calculator. (2024)

CPI-U (1980): 82.4 CPI-U (2024): 313.5 Inflation multiplier (1980-2024): 3.80× Cumulative inflation: 280.48% Average annual inflation rate: 3.08% Note: Official U.S. government inflation data using Consumer Price Index for All Urban Consumers (CPI-U). Additional sources: https://www.bls.gov/data/inflation_calculator.htm

.

11.

James Surowiecki. The Wisdom of Crowds. (Surowiecki, 2004).

Explores the aggregation of information in groups, arguing that decisions are often better than could have been made by any single member of the group. The opening anecdote relates Francis Galton’s surprise that the crowd at a county fair accurately guessed the weight of an ox when the median of their individual guesses was taken. The three conditions for a group to be intelligent are diversity, independence, and decentralization. Additional sources: https://archive.org/details/wisdomofcrowds0000suro | https://en.wikipedia.org/wiki/The_Wisdom_of_Crowds | https://www.amazon.com/Wisdom-Crowds-James-Surowiecki/dp/0385721706

.

12.

ClinicalTrials.gov API v2 direct analysis. ClinicalTrials.gov cumulative enrollment data (2025). Direct analysis via ClinicalTrials.gov API v2 https://clinicaltrials.gov/data-api/api

Analysis of 100,000 active/recruiting/completed trials on ClinicalTrials.gov (as of January 2025) shows cumulative enrollment of 12.2 million participants: Phase 1 (722k), Phase 2 (2.2M), Phase 3 (6.5M), Phase 4 (2.7M). Median participants per trial: Phase 1 (33), Phase 2 (60), Phase 3 (237), Phase 4 (90). Additional sources: https://clinicaltrials.gov/data-api/api

.

13.

ACS CAN. Clinical trial patient participation rate. ACS CAN: Barriers to Clinical Trial Enrollment https://www.fightcancer.org/policy-resources/barriers-patient-enrollment-therapeutic-clinical-trials-cancer

Only 3-5% of adult cancer patients in US receive treatment within clinical trials About 5% of American adults have ever participated in any clinical trial Oncology: 2-3% of all oncology patients participate Contrast: 50-60% enrollment for pediatric cancer trials (<15 years old) Note:  20% of cancer trials fail due to insufficient enrollment; 11% of research sites enroll zero patients Additional sources: https://www.fightcancer.org/policy-resources/barriers-patient-enrollment-therapeutic-clinical-trials-cancer | https://hints.cancer.gov/docs/Briefs/HINTS_Brief_48.pdf

.

14.

ScienceDaily. Global prevalence of chronic disease. ScienceDaily: GBD 2015 Study https://www.sciencedaily.com/releases/2015/06/150608081753.htm (2015)

2.3 billion individuals had more than five ailments (2013) Chronic conditions caused 74% of all deaths worldwide (2019), up from 67% (2010) Approximately 1 in 3 adults suffer from multiple chronic conditions (MCCs) Risk factor exposures: 2B exposed to biomass fuel, 1B to air pollution, 1B smokers Projected economic cost: $47 trillion by 2030 Note: 2.3B with 5+ ailments is more accurate than "2B with chronic disease." One-third of all adults globally have multiple chronic conditions Additional sources: https://www.sciencedaily.com/releases/2015/06/150608081753.htm | https://pmc.ncbi.nlm.nih.gov/articles/PMC10830426/ | https://pmc.ncbi.nlm.nih.gov/articles/PMC6214883/

.

15.

C&EN. Annual number of new drugs approved globally:  50. C&EN https://cen.acs.org/pharmaceuticals/50-new-drugs-received-FDA/103/i2 (2025)

50 new drugs approved annually Additional sources: https://cen.acs.org/pharmaceuticals/50-new-drugs-received-FDA/103/i2 | https://www.fda.gov/drugs/development-approval-process-drugs/novel-drug-approvals-fda

.

16.

Williams, R. J., Tse, T., DiPiazza, K. & Zarin, D. A. Terminated trials in the ClinicalTrials.gov results database: Evaluation of availability of primary outcome data and reasons for termination. PLOS One 10, e0127242 (2015)

Approximately 12% of trials with results posted on the ClinicalTrials.gov results database (905/7,646) were terminated. Primary reasons: insufficient accrual (57% of non-data-driven terminations), business/strategic reasons, and efficacy/toxicity findings (21% data-driven terminations).

17.

IQVIA Report. Global trial capacity. IQVIA Report: Clinical Trial Subjects Number Drops Due to Decline in COVID-19 Enrollment https://gmdpacademy.org/news/iqvia-report-clinical-trial-subjects-number-drops-due-to-decline-in-covid-19-enrollment/

1.9M participants annually (2022, post-COVID normalization from 4M peak in 2021) Additional sources: https://gmdpacademy.org/news/iqvia-report-clinical-trial-subjects-number-drops-due-to-decline-in-covid-19-enrollment/

.

18.

Research and Markets. Global clinical trials market 2024. Research and Markets https://www.globenewswire.com/news-release/2024/04/19/2866012/0/en/Global-Clinical-Trials-Market-Research-Report-2024-An-83-16-Billion-Market-by-2030-AI-Machine-Learning-and-Blockchain-will-Transform-the-Clinical-Trials-Landscape.html (2024)

Global clinical trials market valued at approximately $83 billion in 2024, with projections to reach $83-132 billion by 2030. Additional sources: https://www.globenewswire.com/news-release/2024/04/19/2866012/0/en/Global-Clinical-Trials-Market-Research-Report-2024-An-83-16-Billion-Market-by-2030-AI-Machine-Learning-and-Blockchain-will-Transform-the-Clinical-Trials-Landscape.html | https://www.precedenceresearch.com/clinical-trials-market

.

19.

OpenSecrets. Lobbying spend (defense). OpenSecrets https://www.opensecrets.org/industries/lobbying?ind=D (2024).

20.

Rummel, R. J. Death by Government: Genocide and Mass Murder Since 1900. (Transaction Publishers, 1994).

Political scientist R.J. Rummel’s comprehensive accounting of democide (government murder of unarmed civilians) in the 20th century. His final revised estimate: 262 million people murdered by their own governments from 1900-1999, excluding battle deaths in wars. Range: 200-272+ million. Communist regimes account for the largest share (100-148+ million). Updated figures at hawaii.edu/powerkills.

21.

GiveWell. Cost per DALY for deworming programs. https://www.givewell.org/international/technical/programs/deworming/cost-effectiveness

Schistosomiasis treatment: $28.19-$70.48 per DALY (using arithmetic means with varying disability weights) Soil-transmitted helminths (STH) treatment: $82.54 per DALY (midpoint estimate) Note: GiveWell explicitly states this 2011 analysis is "out of date" and their current methodology focuses on long-term income effects rather than short-term health DALYs Additional sources: https://www.givewell.org/international/technical/programs/deworming/cost-effectiveness

.

22.

Calculated from IHME Global Burden of Disease (2.55B DALYs) and global GDP per capita valuation. $109 trillion annual global disease burden.

The global economic burden of disease, including direct healthcare costs ($8.2 trillion) and lost productivity ($100.9 trillion from 2.55 billion DALYs × $39,570 per DALY), totals approximately $109.1 trillion annually.

23.

U.S. Department of Transportation. Departmental guidance on valuation of a statistical life in economic analysis. (2024).

24.

Think by Numbers. Pre-1962 drug development costs and timeline (think by numbers). Think by Numbers: How Many Lives Does FDA Save? https://thinkbynumbers.org/health/how-many-net-lives-does-the-fda-save/ (1962)

Historical estimates (1970-1985): USD $226M fully capitalized (2011 prices) 1980s drugs:  $65M after-tax R&D (1990 dollars),  $194M compounded to approval (1990 dollars) Modern comparison: $2-3B costs, 7-12 years (dramatic increase from pre-1962) Context: 1962 regulatory clampdown reduced new treatment production by 70%, dramatically increasing development timelines and costs Note: Secondary source; less reliable than Congressional testimony Additional sources: https://thinkbynumbers.org/health/how-many-net-lives-does-the-fda-save/ | https://en.wikipedia.org/wiki/Cost_of_drug_development | https://www.statnews.com/2018/10/01/changing-1962-law-slash-drug-prices/

.

25.

Biotechnology Innovation Organization (BIO). BIO clinical development success rates 2011-2020. Biotechnology Innovation Organization (BIO) https://go.bio.org/rs/490-EHZ-999/images/ClinicalDevelopmentSuccessRates2011_2020.pdf (2021)

Phase I duration: 2.3 years average Total time to market (Phase I-III + approval): 10.5 years average Phase transition success rates: Phase I→II: 63.2%, Phase II→III: 30.7%, Phase III→Approval: 58.1% Overall probability of approval from Phase I: 12% Note: Largest publicly available study of clinical trial success rates. Efficacy lag = 10.5 - 2.3 = 8.2 years post-safety verification. Additional sources: https://go.bio.org/rs/490-EHZ-999/images/ClinicalDevelopmentSuccessRates2011_2020.pdf

.

26.

Nature Medicine. Drug repurposing rate ( 30%). Nature Medicine https://www.nature.com/articles/s41591-024-03233-x (2024)

Approximately 30% of drugs gain at least one new indication after initial approval. Additional sources: https://www.nature.com/articles/s41591-024-03233-x

.

27.

EPI. Education investment economic multiplier (2.1). EPI: Public Investments Outside Core Infrastructure https://www.epi.org/publication/bp348-public-investments-outside-core-infrastructure/

Early childhood education: Benefits 12X outlays by 2050; $8.70 per dollar over lifetime Educational facilities: $1 spent → $1.50 economic returns Energy efficiency comparison: 2-to-1 benefit-to-cost ratio (McKinsey) Private return to schooling:  9% per additional year (World Bank meta-analysis) Note: 2.1 multiplier aligns with benefit-to-cost ratios for educational infrastructure/energy efficiency. Early childhood education shows much higher returns (12X by 2050) Additional sources: https://www.epi.org/publication/bp348-public-investments-outside-core-infrastructure/ | https://documents1.worldbank.org/curated/en/442521523465644318/pdf/WPS8402.pdf | https://freopp.org/whitepapers/establishing-a-practical-return-on-investment-framework-for-education-and-skills-development-to-expand-economic-opportunity/

.

28.

PMC. Healthcare investment economic multiplier (1.8). PMC: California Universal Health Care https://pmc.ncbi.nlm.nih.gov/articles/PMC5954824/ (2022)

Healthcare fiscal multiplier: 4.3 (95% CI: 2.5-6.1) during pre-recession period (1995-2007) Overall government spending multiplier: 1.61 (95% CI: 1.37-1.86) Why healthcare has high multipliers: No effect on trade deficits (spending stays domestic); improves productivity & competitiveness; enhances long-run potential output Gender-sensitive fiscal spending (health & care economy) produces substantial positive growth impacts Note: "1.8" appears to be conservative estimate; research shows healthcare multipliers of 4.3 Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC5954824/ | https://cepr.org/voxeu/columns/government-investment-and-fiscal-stimulus | https://ncbi.nlm.nih.gov/pmc/articles/PMC3849102/ | https://set.odi.org/wp-content/uploads/2022/01/Fiscal-multipliers-review.pdf

.

29.

World Bank. Infrastructure investment economic multiplier (1.6). World Bank: Infrastructure Investment as Stimulus https://blogs.worldbank.org/en/ppps/effectiveness-infrastructure-investment-fiscal-stimulus-what-weve-learned (2022)

Infrastructure fiscal multiplier:  1.6 during contractionary phase of economic cycle Average across all economic states:  1.5 (meaning $1 of public investment → $1.50 of economic activity) Time horizon: 0.8 within 1 year,  1.5 within 2-5 years Range of estimates: 1.5-2.0 (following 2008 financial crisis & American Recovery Act) Italian public construction: 1.5-1.9 multiplier US ARRA: 0.4-2.2 range (differential impacts by program type) Economic Policy Institute: Uses 1.6 for infrastructure spending (middle range of estimates) Note: Public investment less likely to crowd out private activity during recessions; particularly effective when monetary policy loose with near-zero rates Additional sources: https://blogs.worldbank.org/en/ppps/effectiveness-infrastructure-investment-fiscal-stimulus-what-weve-learned | https://www.gihub.org/infrastructure-monitor/insights/fiscal-multiplier-effect-of-infrastructure-investment/ | https://cepr.org/voxeu/columns/government-investment-and-fiscal-stimulus | https://www.richmondfed.org/publications/research/economic_brief/2022/eb_22-04

.

30.

Mercatus. Military spending economic multiplier (0.6). Mercatus: Defense Spending and Economy https://www.mercatus.org/research/research-papers/defense-spending-and-economy

Ramey (2011):  0.6 short-run multiplier Barro (1981): 0.6 multiplier for WWII spending (war spending crowded out  40¢ private economic activity per federal dollar) Barro & Redlick (2011): 0.4 within current year, 0.6 over two years; increased govt spending reduces private-sector GDP portions General finding: $1 increase in deficit-financed federal military spending = less than $1 increase in GDP Variation by context: Central/Eastern European NATO: 0.6 on impact, 1.5-1.6 in years 2-3, gradual fall to zero Ramey & Zubairy (2018): Cumulative 1% GDP increase in military expenditure raises GDP by  0.7% Additional sources: https://www.mercatus.org/research/research-papers/defense-spending-and-economy | https://cepr.org/voxeu/columns/world-war-ii-america-spending-deficits-multipliers-and-sacrifice | https://www.rand.org/content/dam/rand/pubs/research_reports/RRA700/RRA739-2/RAND_RRA739-2.pdf

.

31.

FDA. FDA-approved prescription drug products (20,000+). FDA https://www.fda.gov/media/143704/download

There are over 20,000 prescription drug products approved for marketing. Additional sources: https://www.fda.gov/media/143704/download

.

32.

FDA. FDA GRAS list count ( 570-700). FDA https://www.fda.gov/food/generally-recognized-safe-gras/gras-notice-inventory

The FDA GRAS (Generally Recognized as Safe) list contains approximately 570–700 substances. Additional sources: https://www.fda.gov/food/generally-recognized-safe-gras/gras-notice-inventory

.

33.

ACLED. Active combat deaths annually. ACLED: Global Conflict Surged 2024 https://acleddata.com/2024/12/12/data-shows-global-conflict-surged-in-2024-the-washington-post/ (2024)

2024: 233,597 deaths (30% increase from 179,099 in 2023) Deadliest conflicts: Ukraine (67,000), Palestine (35,000) Nearly 200,000 acts of violence (25% higher than 2023, double from 5 years ago) One in six people globally live in conflict-affected areas Additional sources: https://acleddata.com/2024/12/12/data-shows-global-conflict-surged-in-2024-the-washington-post/ | https://acleddata.com/media-citation/data-shows-global-conflict-surged-2024-washington-post | https://acleddata.com/conflict-index/index-january-2024/

.

34.

UCDP. State violence deaths annually. UCDP: Uppsala Conflict Data Program https://ucdp.uu.se/

Uppsala Conflict Data Program (UCDP): Tracks one-sided violence (organized actors attacking unarmed civilians) UCDP definition: Conflicts causing at least 25 battle-related deaths in calendar year 2023 total organized violence: 154,000 deaths; Non-state conflicts: 20,900 deaths UCDP collects data on state-based conflicts, non-state conflicts, and one-sided violence Specific "2,700 annually" figure for state violence not found in recent UCDP data; actual figures vary annually Additional sources: https://ucdp.uu.se/ | https://en.wikipedia.org/wiki/Uppsala_Conflict_Data_Program | https://ourworldindata.org/grapher/deaths-in-armed-conflicts-by-region

.

35.

Our World in Data. Terror attack deaths (8,300 annually). Our World in Data: Terrorism https://ourworldindata.org/terrorism (2024)

2023: 8,352 deaths (22% increase from 2022, highest since 2017) 2023: 3,350 terrorist incidents (22% decrease), but 56% increase in avg deaths per attack Global Terrorism Database (GTD): 200,000+ terrorist attacks recorded (2021 version) Maintained by: National Consortium for Study of Terrorism & Responses to Terrorism (START), U. of Maryland Geographic shift: Epicenter moved from Middle East to Central Sahel (sub-Saharan Africa) - now >50% of all deaths Additional sources: https://ourworldindata.org/terrorism | https://reliefweb.int/report/world/global-terrorism-index-2024 | https://www.start.umd.edu/gtd/ | https://ourworldindata.org/grapher/fatalities-from-terrorism

.

36.

Institute for Health Metrics and Evaluation (IHME). IHME global burden of disease 2021 (2.88B DALYs, 1.13B YLD). Institute for Health Metrics and Evaluation (IHME) https://vizhub.healthdata.org/gbd-results/ (2024)

In 2021, global DALYs totaled approximately 2.88 billion, comprising 1.75 billion Years of Life Lost (YLL) and 1.13 billion Years Lived with Disability (YLD). This represents a 13% increase from 2019 (2.55B DALYs), largely attributable to COVID-19 deaths and aging populations. YLD accounts for approximately 39% of total DALYs, reflecting the substantial burden of non-fatal chronic conditions. Additional sources: https://vizhub.healthdata.org/gbd-results/ | https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(24)00757-8/fulltext | https://www.healthdata.org/research-analysis/about-gbd

.

37.

Costs of War Project, Brown University Watson Institute. Environmental cost of war ($100B annually). Brown Watson Costs of War: Environmental Cost https://watson.brown.edu/costsofwar/costs/social/environment

War on Terror emissions: 1.2B metric tons GHG (equivalent to 257M cars/year) Military: 5.5% of global GHG emissions (2X aviation + shipping combined) US DoD: World’s single largest institutional oil consumer, 47th largest emitter if nation Cleanup costs: $500B+ for military contaminated sites Gaza war environmental damage: $56.4B; landmine clearance: $34.6B expected Climate finance gap: Rich nations spend 30X more on military than climate finance Note: Military activities cause massive environmental damage through GHG emissions, toxic contamination, and long-term cleanup costs far exceeding current climate finance commitments Additional sources: https://watson.brown.edu/costsofwar/costs/social/environment | https://earth.org/environmental-costs-of-wars/ | https://transformdefence.org/transformdefence/stats/

.

38.

ScienceDaily. Medical research lives saved annually (4.2 million). ScienceDaily: Physical Activity Prevents 4M Deaths https://www.sciencedaily.com/releases/2020/06/200617194510.htm (2020)

Physical activity: 3.9M early deaths averted annually worldwide (15% lower premature deaths than without) COVID vaccines (2020-2024): 2.533M deaths averted, 14.8M life-years preserved; first year alone: 14.4M deaths prevented Cardiovascular prevention: 3 interventions could delay 94.3M deaths over 25 years (antihypertensives alone: 39.4M) Pandemic research response: Millions of deaths averted through rapid vaccine/drug development Additional sources: https://www.sciencedaily.com/releases/2020/06/200617194510.htm | https://pmc.ncbi.nlm.nih.gov/articles/PMC9537923/ | https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.118.038160 | https://pmc.ncbi.nlm.nih.gov/articles/PMC9464102/

.

39.

SIPRI. 36:1 disparity ratio of spending on weapons over cures. SIPRI: Military Spending https://www.sipri.org/commentary/blog/2016/opportunity-cost-world-military-spending (2016)

Global military spending: $2.7 trillion (2024, SIPRI) Global government medical research:  $68 billion (2024) Actual ratio: 39.7:1 in favor of weapons over medical research Military R&D alone:  $85B (2004 data, 10% of global R&D) Military spending increases crowd out health: 1% ↑ military = 0.62% ↓ health spending Note: Ratio actually worse than 36:1. Each 1% increase in military spending reduces health spending by 0.62%, with effect more intense in poorer countries (0.962% reduction) Additional sources: https://www.sipri.org/commentary/blog/2016/opportunity-cost-world-military-spending | https://pmc.ncbi.nlm.nih.gov/articles/PMC9174441/ | https://www.congress.gov/crs-product/R45403

.

40.

Think by Numbers. Lost human capital due to war ($270B annually). Think by Numbers https://thinkbynumbers.org/military/war/the-economic-case-for-peace-a-comprehensive-financial-analysis/ (2021)

Lost human capital from war: $300B annually (economic impact of losing skilled/productive individuals to conflict) Broader conflict/violence cost: $14T/year globally 1.4M violent deaths/year; conflict holds back economic development, causes instability, widens inequality, erodes human capital 2002: 48.4M DALYs lost from 1.6M violence deaths = $151B economic value (2000 USD) Economic toll includes: commodity prices, inflation, supply chain disruption, declining output, lost human capital Additional sources: https://thinkbynumbers.org/military/war/the-economic-case-for-peace-a-comprehensive-financial-analysis/ | https://www.weforum.org/stories/2021/02/war-violence-costs-each-human-5-a-day/ | https://pubmed.ncbi.nlm.nih.gov/19115548/

.

41.

PubMed. Psychological impact of war cost ($100B annually). PubMed: Economic Burden of PTSD https://pubmed.ncbi.nlm.nih.gov/35485933/

PTSD economic burden (2018 U.S.): $232.2B total ($189.5B civilian, $42.7B military) Civilian costs driven by: Direct healthcare ($66B), unemployment ($42.7B) Military costs driven by: Disability ($17.8B), direct healthcare ($10.1B) Exceeds costs of other mental health conditions (anxiety, depression) War-exposed populations: 2-3X higher rates of anxiety, depression, PTSD; women and children most vulnerable Note: Actual burden $232B, significantly higher than "$100B" claimed Additional sources: https://pubmed.ncbi.nlm.nih.gov/35485933/ | https://news.va.gov/103611/study-national-economic-burden-of-ptsd-staggering/ | https://pmc.ncbi.nlm.nih.gov/articles/PMC9957523/

.

42.

CGDev. UNHCR average refugee support cost. CGDev https://www.cgdev.org/blog/costs-hosting-refugees-oecd-countries-and-why-uk-outlier (2024)

The average cost of supporting a refugee is $1,384 per year. This represents total host country costs (housing, healthcare, education, security). OECD countries average $6,100 per refugee (mean 2022-2023), with developing countries spending $700-1,000. Global weighted average of  $1,384 is reasonable given that 75-85% of refugees are in low/middle-income countries. Additional sources: https://www.cgdev.org/blog/costs-hosting-refugees-oecd-countries-and-why-uk-outlier | https://www.unhcr.org/sites/default/files/2024-11/UNHCR-WB-global-cost-of-refugee-inclusion-in-host-country-health-systems.pdf

.

43.

World Bank. World bank trade disruption cost from conflict. World Bank https://www.worldbank.org/en/topic/trade/publication/trading-away-from-conflict

Estimated $616B annual cost from conflict-related trade disruption. World Bank research shows civil war costs an average developing country 30 years of GDP growth, with 20 years needed for trade to return to pre-war levels. Trade disputes analysis shows tariff escalation could reduce global exports by up to $674 billion. Additional sources: https://www.worldbank.org/en/topic/trade/publication/trading-away-from-conflict | https://www.nber.org/papers/w11565 | http://blogs.worldbank.org/en/trade/impacts-global-trade-and-income-current-trade-disputes

.

44.

VA. Veteran healthcare cost projections. VA https://department.va.gov/wp-content/uploads/2025/06/2026-Budget-in-Brief.pdf (2026)

VA budget: $441.3B requested for FY 2026 (10% increase). Disability compensation: $165.6B in FY 2024 for 6.7M veterans. PACT Act projected to increase spending by $300B between 2022-2031. Costs under Toxic Exposures Fund: $20B (2024), $30.4B (2025), $52.6B (2026). Additional sources: https://department.va.gov/wp-content/uploads/2025/06/2026-Budget-in-Brief.pdf | https://www.cbo.gov/publication/45615 | https://www.legion.org/information-center/news/veterans-healthcare/2025/june/va-budget-tops-400-billion-for-2025-from-higher-spending-on-mandated-benefits-medical-care

.

45.

IQVIA Institute for Human Data Science. The global use of medicines 2024: Outlook to 2028. IQVIA Institute Report https://www.iqvia.com/insights/the-iqvia-institute/reports-and-publications/reports/the-global-use-of-medicines-2024-outlook-to-2028 (2024)

Global days of therapy reached 1.8 trillion in 2019 (234 defined daily doses per person). Diabetes, respiratory, CVD, and cancer account for 71 percent of medicine use. Projected to reach 3.8 trillion DDDs by 2028.

46.

Sinn, M. P. Private industry clinical trial spending estimate. (2025)

Estimated private pharmaceutical and biotech clinical trial spending is approximately $75-90 billion annually, representing roughly 90% of global clinical trial spending.

47.

Cybersecurity Ventures. Cybercrime economy projected to reach $10.5 trillion. Cybersecurity Ventures: $10.5T Cybercrime https://cybersecurityventures.com/hackerpocalypse-cybercrime-report-2016/ (2016)

Global cybercrime costs: $3T (2015) → $6T (2021) → $10.5T (2025 projected) 15% annual growth rate If measured as country, would be 3rd largest economy after US and China Greatest transfer of economic wealth in history Note: More profitable than global trade of all major illegal drugs combined. Includes data theft, productivity loss, IP theft, fraud Additional sources: <https://cybersecurityventures.com/hackerpocalypse-cybercrime-report-2016/> | https://www.boisestate.edu/cybersecurity/2022/06/16/cybercrime-to-cost-the-world-10-5-trillion-annually-by-2025/

.

48.

Sinn, M. P. The Political Dysfunction Tax. https://manual.warondisease.org/knowledge/appendix/political-dysfunction-tax.html (2025) doi:10.5281/zenodo.18603840

Quantifying the gap between current global governance and theoretical maximum welfare, estimating a 31-53% efficiency score and $97 trillion in annual opportunity costs.

49.

Bolt, J. & Zanden, J. L. van. Maddison project database 2020. (2020)

Historical GDP per capita estimates from year 1 to present. Global GDP per capita in 1900: approximately 1,260 in 1990 international dollars (roughly 3,150 in 2024 USD after PPP and inflation adjustment). Standard reference for long-run comparative economic history.

50.

Applied Clinical Trials. Global government spending on interventional clinical trials:  $3-6 billion/year. Applied Clinical Trials https://www.appliedclinicaltrialsonline.com/view/sizing-clinical-research-market

Estimated range based on NIH ( $0.8-5.6B), NIHR ($1.6B total budget), and EU funding ( $1.3B/year). Roughly 5-10% of global market. Additional sources: https://www.appliedclinicaltrialsonline.com/view/sizing-clinical-research-market | https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(20)30357-0/fulltext

.

51.

UBS. Credit suisse global wealth report 2023. Credit Suisse/UBS https://www.ubs.com/global/en/family-office-uhnw/reports/global-wealth-report-2023.html (2023)

Total global household wealth: USD 454.4 trillion (2022) Wealth declined by USD 11.3 trillion (-2.4%) in 2022, first decline since 2008 Wealth per adult: USD 84,718 Additional sources: https://www.ubs.com/global/en/family-office-uhnw/reports/global-wealth-report-2023.html

.

52.

Component country budgets. Global government medical research spending ($67.5B, 2023–2024). See component country budgets: NIH Budget https://www.nih.gov/about-nih/what-we-do/budget.

53.

United Nations Department of Economic and Social Affairs, Population Division. World population prospects 2024: Summary of results. (2024)

The 2024 Revision of the World Population Prospects provides population estimates and projections for 237 countries or areas. Global median age approximately 30.5 years in 2024, reflecting population-weighted average across all regions.

54.

SIPRI. Global military spending ($2.72T, 2024). SIPRI https://www.sipri.org/publications/2025/sipri-fact-sheets/trends-world-military-expenditure-2024 (2025).

55.

Stockholm International Peace Research Institute. Trends in world military expenditure, 2024. (2025).

56.

Estimated from major foundation budgets and activities. Nonprofit clinical trial funding estimate.

Nonprofit foundations spend an estimated $2-5 billion annually on clinical trials globally, representing approximately 2-5% of total clinical trial spending.

57.

Industry reports: IQVIA. Global pharmaceutical r&d spending.

Total global pharmaceutical R&D spending is approximately $300 billion annually. Clinical trials represent 15-20% of this total ($45-60B), with the remainder going to drug discovery, preclinical research, regulatory affairs, and manufacturing development.

58.

UN. Global population reaches 8 billion. UN: World Population 8 Billion Nov 15 2022 https://www.un.org/en/desa/world-population-reach-8-billion-15-november-2022 (2022)

Milestone: November 15, 2022 (UN World Population Prospects 2022) Day of Eight Billion" designated by UN Added 1 billion people in just 11 years (2011-2022) Growth rate: Slowest since 1950; fell under 1% in 2020 Future: 15 years to reach 9B (2037); projected peak 10.4B in 2080s Projections: 8.5B (2030), 9.7B (2050), 10.4B (2080-2100 plateau) Note: Milestone reached Nov 2022. Population growth slowing; will take longer to add next billion (15 years vs 11 years) Additional sources: https://www.un.org/en/desa/world-population-reach-8-billion-15-november-2022 | https://www.un.org/en/dayof8billion | https://en.wikipedia.org/wiki/Day_of_Eight_Billion

.

59.

Harvard Kennedy School. 3.5% participation tipping point. Harvard Kennedy School https://www.hks.harvard.edu/centers/carr/publications/35-rule-how-small-minority-can-change-world (2020)

The research found that nonviolent campaigns were twice as likely to succeed as violent ones, and once 3.5% of the population were involved, they were always successful. Chenoweth and Maria Stephan studied the success rates of civil resistance efforts from 1900 to 2006, finding that nonviolent movements attracted, on average, four times as many participants as violent movements and were more likely to succeed. Key finding: Every campaign that mobilized at least 3.5% of the population in sustained protest was successful (in their 1900-2006 dataset) Note: The 3.5% figure is a descriptive statistic from historical analysis, not a guaranteed threshold. One exception (Bahrain 2011-2014 with 6%+ participation) has been identified. The rule applies to regime change, not policy change in democracies. Additional sources: https://www.hks.harvard.edu/centers/carr/publications/35-rule-how-small-minority-can-change-world | https://www.hks.harvard.edu/sites/default/files/2024-05/Erica%20Chenoweth_2020-005.pdf | https://www.bbc.com/future/article/20190513-it-only-takes-35-of-people-to-change-the-world | https://en.wikipedia.org/wiki/3.5%25_rule

.

60.

World Bank. Gross savings (% of GDP). (2024).

61.

NHGRI. Human genome project and CRISPR discovery. NHGRI https://www.genome.gov/11006929/2003-release-international-consortium-completes-hgp (2003)

Your DNA is 3 billion base pairs Read the entire code (Human Genome Project, completed 2003) Learned to edit it (CRISPR, discovered 2012) Additional sources: https://www.genome.gov/11006929/2003-release-international-consortium-completes-hgp | https://www.nobelprize.org/prizes/chemistry/2020/press-release/

.

62.

PMC. Only  12% of human interactome targeted. PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC10749231/ (2023)

Mapping 350,000+ clinical trials showed that only  12% of the human interactome has ever been targeted by drugs. Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC10749231/

.

63.

WHO. ICD-10 code count ( 14,000). WHO https://icd.who.int/browse10/2019/en (2019)

The ICD-10 classification contains approximately 14,000 codes for diseases, signs and symptoms. Additional sources: https://icd.who.int/browse10/2019/en

.

64.

Wikipedia. Longevity escape velocity (LEV) - maximum human life extension potential. Wikipedia: Longevity Escape Velocity https://en.wikipedia.org/wiki/Longevity_escape_velocity

Longevity escape velocity: Hypothetical point where medical advances extend life expectancy faster than time passes Term coined by Aubrey de Grey (biogerontologist) in 2004 paper; concept from David Gobel (Methuselah Foundation) Current progress: Science adds  3 months to lifespan per year; LEV requires adding >1 year per year Sinclair (Harvard): "There is no biological upper limit to age" - first person to live to 150 may already be born De Grey: 50% chance of reaching LEV by mid-to-late 2030s; SENS approach = damage repair rather than slowing damage Kurzweil (2024): LEV by 2029-2035, AI will simulate biological processes to accelerate solutions George Church: LEV "in a decade or two" via age-reversal clinical trials Natural lifespan cap:  120-150 years (Jeanne Calment record: 122); engineering approach could bypass via damage repair Key mechanisms: Epigenetic reprogramming, senolytic drugs, stem cell therapy, gene therapy, AI-driven drug discovery Current record: Jeanne Calment (122 years, 164 days) - record unbroken since 1997 Note: LEV is theoretical but increasingly plausible given demonstrated age reversal in mice (109% lifespan extension) and human cells (30-year epigenetic age reversal) Additional sources: https://en.wikipedia.org/wiki/Longevity_escape_velocity | https://pmc.ncbi.nlm.nih.gov/articles/PMC423155/ | https://www.popularmechanics.com/science/a36712084/can-science-cure-death-longevity/ | https://www.diamandis.com/blog/longevity-escape-velocity

.

65.

OpenSecrets. Lobbyist statistics for washington d.c. OpenSecrets: Lobbying in US https://en.wikipedia.org/wiki/Lobbying_in_the_United_States

Registered lobbyists: Over 12,000 (some estimates); 12,281 registered (2013) Former government employees as lobbyists: 2,200+ former federal employees (1998-2004), including 273 former White House staffers,  250 former Congress members & agency heads Congressional revolving door: 43% (86 of 198) lawmakers who left 1998-2004 became lobbyists; currently 59% leaving to private sector work for lobbying/consulting firms/trade groups Executive branch: 8% were registered lobbyists at some point before/after government service Additional sources: https://en.wikipedia.org/wiki/Lobbying_in_the_United_States | https://www.opensecrets.org/revolving-door | https://www.citizen.org/article/revolving-congress/ | https://www.propublica.org/article/we-found-a-staggering-281-lobbyists-whove-worked-in-the-trump-administration

.

66.

MDPI Vaccines. Measles vaccination ROI. MDPI Vaccines https://www.mdpi.com/2076-393X/12/11/1210 (2024)

Single measles vaccination: 167:1 benefit-cost ratio. MMR (measles-mumps-rubella) vaccination: 14:1 ROI. Historical US elimination efforts (1966-1974): benefit-cost ratio of 10.3:1 with net benefits exceeding USD 1.1 billion (1972 dollars, or USD 8.0 billion in 2023 dollars). 2-dose MMR programs show direct benefit/cost ratio of 14.2 with net savings of $5.3 billion, and 26.0 from societal perspectives with net savings of $11.6 billion. Additional sources: https://www.mdpi.com/2076-393X/12/11/1210 | https://www.tandfonline.com/doi/full/10.1080/14760584.2024.2367451

.

67.

Gosse, M. E. Assessing cost-effectiveness in healthcare: History of the $50,000 per QALY threshold. Sustainability Impact Metrics https://ecocostsvalue.com/EVR/img/references%20others/Gosse%202008%20QALY%20threshold%20financial.pdf (2008).

68.

World Health Organization. Mental health global burden. World Health Organization https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people (2022)

One in four people in the world will be affected by mental or neurological disorders at some point in their lives, representing [approximately] 30% of the global burden of disease. Additional sources: https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people

.

69.

Stockholm International Peace Research Institute. Trends in world military expenditure, 2023. (2024).

70.

Calculated from Orphanet Journal of Rare Diseases (2024). Diseases getting first effective treatment each year. Calculated from Orphanet Journal of Rare Diseases (2024) https://ojrd.biomedcentral.com/articles/10.1186/s13023-024-03398-1 (2024)

Under the current system, approximately 10-15 diseases per year receive their FIRST effective treatment. Calculation: 5% of 7,000 rare diseases ( 350) have FDA-approved treatment, accumulated over 40 years of the Orphan Drug Act =  9 rare diseases/year. Adding  5-10 non-rare diseases that get first treatments yields  10-20 total. FDA approves  50 drugs/year, but many are for diseases that already have treatments (me-too drugs, second-line therapies). Only  15 represent truly FIRST treatments for previously untreatable conditions.

71.

NIH. NIH budget (FY 2025). NIH https://www.nih.gov/about-nih/organization/budget (2024)

The budget total of $47.7 billion also includes $1.412 billion derived from PHS Evaluation financing... Additional sources: https://www.nih.gov/about-nih/organization/budget | https://officeofbudget.od.nih.gov/

.

72.

Bentley et al. NIH spending on clinical trials:  3.3%. Bentley et al. https://pmc.ncbi.nlm.nih.gov/articles/PMC10349341/ (2023)

NIH spent $8.1 billion on clinical trials for approved drugs (2010-2019), representing 3.3% of relevant NIH spending. Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC10349341/ | https://catalyst.harvard.edu/news/article/nih-spent-8-1b-for-phased-clinical-trials-of-drugs-approved-2010-19-10-of-reported-industry-spending/

.

73.

PMC. Standard medical research ROI ($20k-$100k/QALY). PMC: Cost-effectiveness Thresholds Used by Study Authors https://pmc.ncbi.nlm.nih.gov/articles/PMC10114019/ (1990)

Typical cost-effectiveness thresholds for medical interventions in rich countries range from $50,000 to $150,000 per QALY. The Institute for Clinical and Economic Review (ICER) uses a $100,000-$150,000/QALY threshold for value-based pricing. Between 1990-2021, authors increasingly cited $100,000 (47% by 2020-21) or $150,000 (24% by 2020-21) per QALY as benchmarks for cost-effectiveness. Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC10114019/ | https://icer.org/our-approach/methods-process/cost-effectiveness-the-qaly-and-the-evlyg/

.

74.

Manhattan Institute. RECOVERY trial 82× cost reduction. Manhattan Institute: Slow Costly Trials https://manhattan.institute/article/slow-costly-clinical-trials-drag-down-biomedical-breakthroughs

RECOVERY trial:  $500 per patient ($20M for 48,000 patients = $417/patient) Typical clinical trial:  $41,000 median per-patient cost Cost reduction:  80-82× cheaper ($41,000 ÷ $500 ≈ 82×) Efficiency: $50 per patient per answer (10 therapeutics tested, 4 effective) Dexamethasone estimated to save >630,000 lives Additional sources: https://manhattan.institute/article/slow-costly-clinical-trials-drag-down-biomedical-breakthroughs | https://pmc.ncbi.nlm.nih.gov/articles/PMC9293394/

.

75.

Trials. Patient willingness to participate in clinical trials. Trials: Patients’ Willingness Survey https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-015-1105-3

Recent surveys: 49-51% willingness (2020-2022) - dramatic drop from 85% (2019) during COVID-19 pandemic Cancer patients when approached: 88% consented to trials (Royal Marsden Hospital) Study type variation: 44.8% willing for drug trial, 76.2% for diagnostic study Top motivation: "Learning more about my health/medical condition" (67.4%) Top barrier: "Worry about experiencing side effects" (52.6%) Additional sources: https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-015-1105-3 | https://www.appliedclinicaltrialsonline.com/view/industry-forced-to-rethink-patient-participation-in-trials | https://pmc.ncbi.nlm.nih.gov/articles/PMC7183682/

.

76.

Tufts CSDD. Cost of drug development.

Various estimates suggest $1.0 - $2.5 billion to bring a new drug from discovery through FDA approval, spread across  10 years. Tufts Center for the Study of Drug Development often cited for $1.0 - $2.6 billion/drug. Industry reports (IQVIA, Deloitte) also highlight $2+ billion figures.

77.

Value in Health. Average lifetime revenue per successful drug. Value in Health: Sales Revenues for New Therapeutic Agents https://www.sciencedirect.com/science/article/pii/S1098301524027542

Study of 361 FDA-approved drugs from 1995-2014 (median follow-up 13.2 years): Mean lifetime revenue: $15.2 billion per drug Median lifetime revenue: $6.7 billion per drug Revenue after 5 years: $3.2 billion (mean) Revenue after 10 years: $9.5 billion (mean) Revenue after 15 years: $19.2 billion (mean) Distribution highly skewed: top 25 drugs (7%) accounted for 38% of total revenue ($2.1T of $5.5T) Additional sources: https://www.sciencedirect.com/science/article/pii/S1098301524027542

.

78.

Lichtenberg, F. R. How many life-years have new drugs saved? A three-way fixed-effects analysis of 66 diseases in 27 countries, 2000-2013. International Health 11, 403–416 (2019)

Using 3-way fixed-effects methodology (disease-country-year) across 66 diseases in 22 countries, this study estimates that drugs launched after 1981 saved 148.7 million life-years in 2013 alone. The regression coefficients for drug launches 0-11 years prior (beta=-0.031, SE=0.008) and 12+ years prior (beta=-0.057, SE=0.013) on years of life lost are highly significant (p<0.0001). Confidence interval for life-years saved: 79.4M-239.8M (95 percent CI) based on propagated standard errors from Table 2.

79.

Deloitte. Pharmaceutical r&d return on investment (ROI). Deloitte: Measuring Pharmaceutical Innovation 2025 https://www.deloitte.com/ch/en/Industries/life-sciences-health-care/research/measuring-return-from-pharmaceutical-innovation.html (2025)

Deloitte’s annual study of top 20 pharma companies by R&D spend (2010-2024): 2024 ROI: 5.9% (second year of growth after decade of decline) 2023 ROI:  4.3% (estimated from trend) 2022 ROI: 1.2% (historic low since study began, 13-year low) 2021 ROI: 6.8% (record high, inflated by COVID-19 vaccines/treatments) Long-term trend: Declining for over a decade before 2023 recovery Average R&D cost per asset: $2.3B (2022), $2.23B (2024) These returns (1.2-5.9% range) fall far below typical corporate ROI targets (15-20%) Additional sources: https://www.deloitte.com/ch/en/Industries/life-sciences-health-care/research/measuring-return-from-pharmaceutical-innovation.html | https://www.prnewswire.com/news-releases/deloittes-13th-annual-pharmaceutical-innovation-report-pharma-rd-return-on-investment-falls-in-post-pandemic-market-301738807.html | https://hitconsultant.net/2023/02/16/pharma-rd-roi-falls-to-lowest-level-in-13-years/

.

80.

Nature Reviews Drug Discovery. Drug trial success rate from phase i to approval. Nature Reviews Drug Discovery: Clinical Success Rates https://www.nature.com/articles/nrd.2016.136 (2016)

Overall Phase I to approval: 10-12.8% (conventional wisdom  10%, studies show 12.8%) Recent decline: Average LOA now 6.7% for Phase I (2014-2023 data) Leading pharma companies: 14.3% average LOA (range 8-23%) Varies by therapeutic area: Oncology 3.4%, CNS/cardiovascular lowest at Phase III Phase-specific success: Phase I 47-54%, Phase II 28-34%, Phase III 55-70% Note: 12% figure accurate for historical average. Recent data shows decline to 6.7%, with Phase II as primary attrition point (28% success) Additional sources: https://www.nature.com/articles/nrd.2016.136 | https://pmc.ncbi.nlm.nih.gov/articles/PMC6409418/ | https://academic.oup.com/biostatistics/article/20/2/273/4817524

.

81.

SofproMed. Phase 3 cost per trial range. SofproMed https://www.sofpromed.com/how-much-does-a-clinical-trial-cost

Phase 3 clinical trials cost between $20 million and $282 million per trial, with significant variation by therapeutic area and trial complexity. Additional sources: https://www.sofpromed.com/how-much-does-a-clinical-trial-cost | https://www.cbo.gov/publication/57126

.

82.

Ramsberg, J. & Platt, R. Pragmatic trial cost per patient (median $97). Learning Health Systems https://pmc.ncbi.nlm.nih.gov/articles/PMC6508852/ (2018)

Meta-analysis of 108 embedded pragmatic clinical trials (2006-2016). The median cost per patient was $97 (IQR $19–$478), based on 2015 dollars. 25% of trials cost <$19/patient; 10 trials exceeded $1,000/patient. U.S. studies median $187 vs non-U.S. median $27. Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC6508852/

.

83.

WHO. Polio vaccination ROI. WHO https://www.who.int/news-room/feature-stories/detail/sustaining-polio-investments-offers-a-high-return (2019)

For every dollar spent, the return on investment is nearly US$ 39." Total investment cost of US$ 7.5 billion generates projected economic and social benefits of US$ 289.2 billion from sustaining polio assets and integrating them into expanded immunization, surveillance and emergency response programmes across 8 priority countries (Afghanistan, Iraq, Libya, Pakistan, Somalia, Sudan, Syria, Yemen). Additional sources: https://www.who.int/news-room/feature-stories/detail/sustaining-polio-investments-offers-a-high-return

.

84.

ICRC. International campaign to ban landmines (ICBL) - ottawa treaty (1997). ICRC https://www.icrc.org/en/doc/resources/documents/article/other/57jpjn.htm (1997)

ICBL: Founded 1992 by 6 NGOs (Handicap International, Human Rights Watch, Medico International, Mines Advisory Group, Physicians for Human Rights, Vietnam Veterans of America Foundation) Started with ONE staff member: Jody Williams as founding coordinator Grew to 1,000+ organizations in 60 countries by 1997 Ottawa Process: 14 months (October 1996 - December 1997) Convention signed by 122 states on December 3, 1997; entered into force March 1, 1999 Achievement: Nobel Peace Prize 1997 (shared by ICBL and Jody Williams) Government funding context: Canada established $100M CAD Canadian Landmine Fund over 10 years (1997); International donors provided $169M in 1997 for mine action (up from $100M in 1996) Additional sources: https://www.icrc.org/en/doc/resources/documents/article/other/57jpjn.htm | https://en.wikipedia.org/wiki/International_Campaign_to_Ban_Landmines | https://www.nobelprize.org/prizes/peace/1997/summary/ | https://un.org/press/en/1999/19990520.MINES.BRF.html | https://www.the-monitor.org/en-gb/reports/2003/landmine-monitor-2003/mine-action-funding.aspx

.

85.

OpenSecrets. Revolving door: Former members of congress. (2024)

388 former members of Congress are registered as lobbyists. Nearly 5,400 former congressional staffers have left Capitol Hill to become federal lobbyists in the past 10 years. Additional sources: https://www.opensecrets.org/revolving-door

.

86.

Kinch, M. S. & Griesenauer, R. H. Lost medicines: A longer view of the pharmaceutical industry with the potential to reinvigorate discovery. Drug Discovery Today 24, 875–880 (2019)

Research identified 1,600+ medicines available in 1962. The 1950s represented industry high-water mark with >30 new products in five of ten years; this rate would not be replicated until late 1990s. More than half (880) of these medicines were lost following implementation of Kefauver-Harris Amendment. The peak of 1962 would not be seen again until early 21st century. By 2016 number of organizations actively involved in R&D at level not seen since 1914.

87.

Baily, M. N. Pre-1962 drug development costs (baily 1972). Baily (1972) https://samizdathealth.org/wp-content/uploads/2020/12/hlthaff.1.2.6.pdf (1972)

Pre-1962: Average cost per new chemical entity (NCE) was $6.5 million (1980 dollars) Inflation-adjusted to 2024 dollars: $6.5M (1980) ≈ $22.5M (2024), using CPI multiplier of 3.46× Real cost increase (inflation-adjusted): $22.5M (pre-1962) → $2,600M (2024) = 116× increase Note: This represents the most comprehensive academic estimate of pre-1962 drug development costs based on empirical industry data Additional sources: https://samizdathealth.org/wp-content/uploads/2020/12/hlthaff.1.2.6.pdf

.

88.

Think by Numbers. Pre-1962 physician-led clinical trials. Think by Numbers: How Many Lives Does FDA Save? https://thinkbynumbers.org/health/how-many-net-lives-does-the-fda-save/ (1966)

Pre-1962: Physicians could report real-world evidence directly 1962 Drug Amendments replaced "premarket notification" with "premarket approval", requiring extensive efficacy testing Impact: New regulatory clampdown reduced new treatment production by 70%; lifespan growth declined from  4 years/decade to  2 years/decade Drug Efficacy Study Implementation (DESI): NAS/NRC evaluated 3,400+ drugs approved 1938-1962 for safety only; reviewed >3,000 products, >16,000 therapeutic claims FDA has had authority to accept real-world evidence since 1962, clarified by 21st Century Cures Act (2016) Note: Specific "144,000 physicians" figure not verified in sources Additional sources: https://thinkbynumbers.org/health/how-many-net-lives-does-the-fda-save/ | https://www.fda.gov/drugs/enforcement-activities-fda/drug-efficacy-study-implementation-desi | http://www.nasonline.org/about-nas/history/archives/collections/des-1966-1969-1.html

.

89.

GAO. 95% of diseases have 0 FDA-approved treatments. GAO https://www.gao.gov/products/gao-25-106774 (2025)

95% of diseases have no treatment Additional sources: https://www.gao.gov/products/gao-25-106774 | https://globalgenes.org/rare-disease-facts/

.

90.

Oren Cass, Manhattan Institute. RECOVERY trial cost per patient. Oren Cass https://manhattan.institute/article/slow-costly-clinical-trials-drag-down-biomedical-breakthroughs (2023)

The RECOVERY trial, for example, cost only about $500 per patient... By contrast, the median per-patient cost of a pivotal trial for a new therapeutic is around $41,000. Additional sources: https://manhattan.institute/article/slow-costly-clinical-trials-drag-down-biomedical-breakthroughs

.

91.

NHS England; Águas et al. RECOVERY trial global lives saved ( 1 million). NHS England: 1 Million Lives Saved https://www.england.nhs.uk/2021/03/covid-treatment-developed-in-the-nhs-saves-a-million-lives/ (2021)

Dexamethasone saved  1 million lives worldwide (NHS England estimate, March 2021, 9 months after discovery). UK alone: 22,000 lives saved. Methodology: Águas et al. Nature Communications 2021 estimated 650,000 lives (range: 240,000-1,400,000) for July-December 2020 alone, based on RECOVERY trial mortality reductions (36% for ventilated, 18% for oxygen-only patients) applied to global COVID hospitalizations. June 2020 announcement: Dexamethasone reduced deaths by up to 1/3 (ventilated patients), 1/5 (oxygen patients). Impact immediate: Adopted into standard care globally within hours of announcement. Additional sources: https://www.england.nhs.uk/2021/03/covid-treatment-developed-in-the-nhs-saves-a-million-lives/ | https://www.nature.com/articles/s41467-021-21134-2 | https://pharmaceutical-journal.com/article/news/steroid-has-saved-the-lives-of-one-million-covid-19-patients-worldwide-figures-show | https://www.recoverytrial.net/news/recovery-trial-celebrates-two-year-anniversary-of-life-saving-dexamethasone-result

.

92.

National September 11 Memorial & Museum. September 11 attack facts. (2024)

2,977 people were killed in the September 11, 2001 attacks: 2,753 at the World Trade Center, 184 at the Pentagon, and 40 passengers and crew on United Flight 93 in Shanksville, Pennsylvania.

93.

World Bank. World bank singapore economic data. World Bank https://data.worldbank.org/country/singapore (2024)

Singapore GDP per capita (2023): $82,000 - among highest in the world Government spending: 15% of GDP (vs US 38%) Life expectancy: 84.1 years (vs US 77.5 years) Singapore demonstrates that low government spending can coexist with excellent outcomes Additional sources: https://data.worldbank.org/country/singapore

.

94.

International Monetary Fund. IMF singapore government spending data. (2024)

Singapore government spending is approximately 15% of GDP This is 23 percentage points lower than the United States (38%) Despite lower spending, Singapore achieves excellent outcomes: - Life expectancy: 84.1 years (vs US 77.5) - Low crime, world-class infrastructure, AAA credit rating Additional sources: https://www.imf.org/en/Countries/SGP

.

95.

World Health Organization. WHO life expectancy data by country. (2024)

Life expectancy at birth varies significantly among developed nations: Switzerland: 84.0 years (2023) Singapore: 84.1 years (2023) Japan: 84.3 years (2023) United States: 77.5 years (2023) - 6.5 years below Switzerland, Singapore Global average:  73 years Note: US spends more per capita on healthcare than any other nation, yet achieves lower life expectancy Additional sources: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-life-expectancy-and-healthy-life-expectancy

.

96.

CSIS. Smallpox eradication ROI. CSIS https://www.csis.org/analysis/smallpox-eradication-model-global-cooperation.

97.

PMC. Contribution of smoking reduction to life expectancy gains. PMC: Benefits Smoking Cessation Longevity https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1447499/ (2012)

Population-level: Up to 14% (9% men, 14% women) of total life expectancy gain since 1960 due to tobacco control efforts Individual cessation benefits: Quitting at age 35 adds 6.9-8.5 years (men), 6.1-7.7 years (women) vs continuing smokers By cessation age: Age 25-34 = 10 years gained; age 35-44 = 9 years; age 45-54 = 6 years; age 65 = 2.0 years (men), 3.7 years (women) Cessation before age 40: Reduces death risk by  90% Long-term cessation: 10+ years yields survival comparable to never smokers, averts  10 years of life lost Recent cessation: <3 years averts  5 years of life lost Additional sources: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1447499/ | https://www.cdc.gov/pcd/issues/2012/11_0295.htm | https://www.ajpmonline.org/article/S0749-3797(24)00217-4/fulltext | https://www.nejm.org/doi/full/10.1056/NEJMsa1211128

.

98.

ICER. Value per QALY (standard economic value). ICER https://icer.org/wp-content/uploads/2024/02/Reference-Case-4.3.25.pdf (2024)

Standard economic value per QALY: $100,000–$150,000. This is the US and global standard willingness-to-pay threshold for interventions that add costs. Dominant interventions (those that save money while improving health) are favorable regardless of this threshold. Additional sources: https://icer.org/wp-content/uploads/2024/02/Reference-Case-4.3.25.pdf

.

99.

GAO. Annual cost of u.s. Sugar subsidies. GAO: Sugar Program https://www.gao.gov/products/gao-24-106144

Consumer costs: $2.5-3.5 billion per year (GAO estimate) Net economic cost:  $1 billion per year 2022: US consumers paid 2X world price for sugar Program costs $3-4 billion/year but no federal budget impact (costs passed directly to consumers via higher prices) Employment impact: 10,000-20,000 manufacturing jobs lost annually in sugar-reliant industries (confectionery, etc.) Multiple studies confirm: Sweetener Users Association ($2.9-3.5B), AEI ($2.4B consumer cost), Beghin & Elobeid ($2.9-3.5B consumer surplus) Additional sources: https://www.gao.gov/products/gao-24-106144 | https://www.heritage.org/agriculture/report/the-us-sugar-program-bad-consumers-bad-agriculture-and-bad-america | https://www.aei.org/articles/the-u-s-spends-4-billion-a-year-subsidizing-stalinist-style-domestic-sugar-production/

.

100.

World Bank. Swiss military budget as percentage of GDP. World Bank: Military Expenditure https://data.worldbank.org/indicator/MS.MIL.XPND.GD.ZS?locations=CH

2023: 0.70272% of GDP (World Bank) 2024: CHF 5.95 billion official military spending When including militia system costs:  1% GDP (CHF 8.75B) Comparison: Near bottom in Europe; only Ireland, Malta, Moldova spend less (excluding microstates with no armies) Additional sources: https://data.worldbank.org/indicator/MS.MIL.XPND.GD.ZS?locations=CH | https://www.avenir-suisse.ch/en/blog-defence-spending-switzerland-is-in-better-shape-than-it-seems/ | https://tradingeconomics.com/switzerland/military-expenditure-percent-of-gdp-wb-data.html

.

101.

World Bank. Switzerland vs. US GDP per capita comparison. World Bank: Switzerland GDP Per Capita https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=CH

2024 GDP per capita (PPP-adjusted): Switzerland $93,819 vs United States $75,492 Switzerland’s GDP per capita 24% higher than US when adjusted for purchasing power parity Nominal 2024: Switzerland $103,670 vs US $85,810 Additional sources: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=CH | https://tradingeconomics.com/switzerland/gdp-per-capita-ppp | https://www.theglobaleconomy.com/USA/gdp_per_capita_ppp/

.

102.

OECD. OECD government spending as percentage of GDP. (2024)

OECD government spending data shows significant variation among developed nations: United States: 38.0% of GDP (2023) Switzerland: 35.0% of GDP - 3 percentage points lower than US Singapore: 15.0% of GDP - 23 percentage points lower than US (per IMF data) OECD average: approximately 40% of GDP Additional sources: https://data.oecd.org/gga/general-government-spending.htm

.

103.

OECD. OECD median household income comparison. (2024)

Median household disposable income varies significantly across OECD nations: United States: $77,500 (2023) Switzerland: $55,000 PPP-adjusted (lower nominal but comparable purchasing power) Singapore: $75,000 PPP-adjusted Additional sources: https://data.oecd.org/hha/household-disposable-income.htm

.

104.

Cato Institute. Chance of dying from terrorism statistic. Cato Institute: Terrorism and Immigration Risk Analysis https://www.cato.org/policy-analysis/terrorism-immigration-risk-analysis

Chance of American dying in foreign-born terrorist attack: 1 in 3.6 million per year (1975-2015) Including 9/11 deaths; annual murder rate is 253x higher than terrorism death rate More likely to die from lightning strike than foreign terrorism Note: Comprehensive 41-year study shows terrorism risk is extremely low compared to everyday dangers Additional sources: https://www.cato.org/policy-analysis/terrorism-immigration-risk-analysis | https://www.nbcnews.com/news/us-news/you-re-more-likely-die-choking-be-killed-foreign-terrorists-n715141

.

105.

Wikipedia. Thalidomide scandal: Worldwide cases and mortality. Wikipedia https://en.wikipedia.org/wiki/Thalidomide_scandal

The total number of embryos affected by the use of thalidomide during pregnancy is estimated at 10,000, of whom about 40% died around the time of birth. More than 10,000 children in 46 countries were born with deformities such as phocomelia. Additional sources: https://en.wikipedia.org/wiki/Thalidomide_scandal

.

106.

PLOS One. Health and quality of life of thalidomide survivors as they age. PLOS One https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0210222 (2019)

Study of thalidomide survivors documenting ongoing disability impacts, quality of life, and long-term health outcomes. Survivors (now in their 60s) continue to experience significant disability from limb deformities, organ damage, and other effects. Additional sources: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0210222

.

107.

US Census Bureau. Historical world population estimates. US Census Bureau https://www.census.gov/data/tables/time-series/demo/international-programs/historical-est-worldpop.html

US Census Bureau historical estimates of world population by country and region (1950-2050). US population in 1960:  180 million of  3 billion worldwide (6%). Additional sources: https://www.census.gov/data/tables/time-series/demo/international-programs/historical-est-worldpop.html

.

108.

FDA Study via NCBI. Trial costs, FDA study. FDA Study via NCBI https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6248200/

Overall, the 138 clinical trials had an estimated median (IQR) cost of $19.0 million ($12.2 million-$33.1 million)... The clinical trials cost a median (IQR) of $41,117 ($31,802-$82,362) per patient. Additional sources: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6248200/

.

109.

GBD 2019 Diseases and Injuries Collaborators. Global burden of disease study 2019: Disability weights. The Lancet 396, 1204–1222 (2020)

Disability weights for 235 health states used in Global Burden of Disease calculations. Weights range from 0 (perfect health) to 1 (death equivalent). Chronic conditions like diabetes (0.05-0.35), COPD (0.04-0.41), depression (0.15-0.66), and cardiovascular disease (0.04-0.57) show substantial variation by severity. Treatment typically reduces disability weights by 50-80 percent for manageable chronic conditions.

110.

WHO. Annual global economic burden of alzheimer’s and other dementias. WHO: Dementia Fact Sheet https://www.who.int/news-room/fact-sheets/detail/dementia (2019)

Global cost: $1.3 trillion (2019 WHO-commissioned study) 50% from informal caregivers (family/friends,  5 hrs/day) 74% of costs in high-income countries despite 61% of patients in LMICs $818B (2010) → $1T (2018) → $1.3T (2019) - rapid growth Note: Costs increased 35% from 2010-2015 alone. Informal care represents massive hidden economic burden Additional sources: https://www.who.int/news-room/fact-sheets/detail/dementia | https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/alz.12901

.

111.

JAMA Oncology. Annual global economic burden of cancer. JAMA Oncology: Global Cost 2020-2050 https://jamanetwork.com/journals/jamaoncology/fullarticle/2801798 (2020)

2020-2050 projection: $25.2 trillion total ($840B/year average) 2010 annual cost: $1.16 trillion (direct costs only) Recent estimate:  $3 trillion/year (all costs included) Top 5 cancers: lung (15.4%), colon/rectum (10.9%), breast (7.7%), liver (6.5%), leukemia (6.3%) Note: China/US account for 45% of global burden; 75% of deaths in LMICs but only 50.0% of economic cost Additional sources: https://jamanetwork.com/journals/jamaoncology/fullarticle/2801798 | https://www.nature.com/articles/d41586-023-00634-9

.

112.

CDC. U.s. Chronic disease healthcare spending. CDC https://www.cdc.gov/chronic-disease/data-research/facts-stats/index.html

Chronic diseases account for  90% of U.S. healthcare spending ( $3.7T/year). Additional sources: https://www.cdc.gov/chronic-disease/data-research/facts-stats/index.html

.

113.

Diabetes Care. Annual global economic burden of diabetes. Diabetes Care: Global Economic Burden https://diabetesjournals.org/care/article/41/5/963/36522/Global-Economic-Burden-of-Diabetes-in-Adults

2015: $1.3 trillion (1.8% of global GDP) 2030 projections: $2.1T-2.5T depending on scenario IDF health expenditure: $760B (2019) → $845B (2045 projected) 2/3 direct medical costs ($857B), 1/3 indirect costs (lost productivity) Note: Costs growing rapidly; expected to exceed $2T by 2030 Additional sources: https://diabetesjournals.org/care/article/41/5/963/36522/Global-Economic-Burden-of-Diabetes-in-Adults | https://doi.org/10.1016/S2213-8587(17)30097-9

.

114.

CBO. The 2024 Long-Term Budget Outlook. https://www.cbo.gov/publication/60039 (2024).

115.

World Bank, Bureau of Economic Analysis. US GDP 2024 ($28.78 trillion). World Bank https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=US (2024)

US GDP reached $28.78 trillion in 2024, representing approximately 26% of global GDP. Additional sources: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=US | https://www.bea.gov/news/2024/gross-domestic-product-fourth-quarter-and-year-2024-advance-estimate

.

116.

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/

.

117.

Drug Policy Alliance. The drug war by the numbers. (2021)

Since 1971, the war on drugs has cost the United States an estimated $1 trillion in enforcement. The federal drug control budget was $41 billion in 2022. Mass incarceration costs the U.S. at least $182 billion every year, with over $450 billion spent to incarcerate individuals on drug charges in federal prisons.

118.

International Monetary Fund. IMF fossil fuel subsidies data: 2023 update. (2023)

Globally, fossil fuel subsidies were $7 trillion in 2022 or 7.1 percent of GDP. The United States subsidies totaled $649 billion. Underpricing for local air pollution costs and climate damages are the largest contributor, accounting for about 30 percent each.

119.

Papanicolas, Irene et al. Health care spending in the united states and other high-income countries. Papanicolas et al. https://jamanetwork.com/journals/jama/article-abstract/2674671 (2018)

The US spent approximately twice as much as other high-income countries on medical care (mean per capita: $9,892 vs $5,289), with similar utilization but much higher prices. Administrative costs accounted for 8% of US spending vs 1-3% in other countries. US spending on pharmaceuticals was $1,443 per capita vs $749 elsewhere. Despite spending more, US health outcomes are not better. Additional sources: https://jamanetwork.com/journals/jama/article-abstract/2674671

.

120.

Hsieh, C.-T. & Moretti, E. Housing constraints and spatial misallocation. American Economic Journal: Macroeconomics https://www.aeaweb.org/articles?id=10.1257/mac.20170388 (2019)

We quantify the amount of spatial misallocation of labor across US cities and its aggregate costs. Tight land-use restrictions in high-productivity cities like New York, San Francisco, and Boston lowered aggregate US growth by 36% from 1964 to 2009. Local constraints on housing supply have had enormous effects on the national economy. Additional sources: https://www.aeaweb.org/articles?id=10.1257/mac.20170388

.

121.

Yale Budget Lab. The fiscal, economic, and distributional effects of all u.s. tariffs. (2025)

Accounting for all the 2025 US tariffs and retaliation implemented to date, the level of real GDP is persistently -0.6% smaller in the long run, the equivalent of $160 billion 2024$ annually.

122.

Tax Foundation. Tax compliance costs the US economy $546 billion annually. https://taxfoundation.org/data/all/federal/irs-tax-compliance-costs/ (2024)

Americans will spend over 7.9 billion hours complying with IRS tax filing and reporting requirements in 2024. This costs the economy roughly $413 billion in lost productivity. In addition, the IRS estimates that Americans spend roughly $133 billion annually in out-of-pocket costs, bringing the total compliance costs to $546 billion, or nearly 2 percent of GDP.

123.

Cook, C., Cole, G., Asaria, P., Jabbour, R. & Francis, D. P. Annual global economic burden of heart disease. International Journal of Cardiology https://www.internationaljournalofcardiology.com/article/S0167-5273(13)02238-9/abstract (2014)

Heart failure alone: $108 billion/year (2012 global analysis, 197 countries) US CVD: $555B (2016) → projected $1.8T by 2050 LMICs total CVD loss: $3.7T cumulative (2011-2015, 5-year period) CVD is costliest disease category in most developed nations Note: No single $2.1T global figure found; estimates vary widely by scope and year Additional sources: https://www.ahajournals.org/doi/10.1161/CIR.0000000000001258

.

124.

Source: US Life Expectancy FDA Budget 1543-2019 CSV. US life expectancy growth 1880-1960: 3.82 years per decade. (2019)

Pre-1962: 3.82 years/decade Post-1962: 1.54 years/decade Reduction: 60% decline in life expectancy growth rate Additional sources: https://ourworldindata.org/life-expectancy | https://www.mortality.org/ | https://www.cdc.gov/nchs/nvss/mortality_tables.htm

.

125.

Source: US Life Expectancy FDA Budget 1543-2019 CSV. Post-1962 slowdown in life expectancy gains. (2019)

Pre-1962 (1880-1960): 3.82 years/decade Post-1962 (1962-2019): 1.54 years/decade Reduction: 60% decline Temporal correlation: Slowdown occurred immediately after 1962 Kefauver-Harris Amendment Additional sources: https://ourworldindata.org/life-expectancy | https://www.mortality.org/ | https://www.cdc.gov/nchs/nvss/mortality_tables.htm

.

126.

Centers for Disease Control and Prevention. US life expectancy 2023. (2024)

US life expectancy at birth was 77.5 years in 2023 Male life expectancy: 74.8 years Female life expectancy: 80.2 years This is 6-7 years lower than peer developed nations despite higher healthcare spending Additional sources: https://www.cdc.gov/nchs/fastats/life-expectancy.htm

.

127.

US Census Bureau. US median household income 2023. (2024)

US median household income was $77,500 in 2023 Real median household income declined 0.8% from 2022 Gini index: 0.467 (income inequality measure) Additional sources: https://www.census.gov/library/publications/2024/demo/p60-282.html

.

128.

Manuel, D. U.s. Defense spending history: 100 years of military budgets. DaveManuel.com https://www.davemanuel.com/us-defense-spending-history-military-budget-data.php (2025)

US military spending in constant 2024 dollars: 1939 $29B (pre-WW2 baseline), 1940 $37B, 1944 $1,383B, 1945 $1,420B (peak), 1946 $674B, 1947 $176B, 1948 $117B, 2024 $886B. The post-WW2 demobilization cut spending 88% in two years (1945-1947). Current peacetime spending ($886B) is 30x the pre-WW2 baseline and 62% of peak WW2 spending, in inflation-adjusted dollars.

129.

Statista. US military budget as percentage of GDP. Statista https://www.statista.com/statistics/262742/countries-with-the-highest-military-spending/ (2024)

U.S. military spending amounted to 3.5% of GDP in 2024. In 2024, the U.S. spent nearly $1 trillion on its military budget, equal to 3.4% of GDP. Additional sources: https://www.statista.com/statistics/262742/countries-with-the-highest-military-spending/ | https://www.sipri.org/sites/default/files/2025-04/2504_fs_milex_2024.pdf

.

130.

US Census Bureau. Number of registered or eligible voters in the u.s. US Census Bureau https://www.census.gov/newsroom/press-releases/2025/2024-presidential-election-voting-registration-tables.html (2024)

73.6% (or 174 million people) of the citizen voting-age population was registered to vote in 2024 (Census Bureau). More than 211 million citizens were active registered voters (86.6% of citizen voting age population) according to the Election Assistance Commission. Additional sources: https://www.census.gov/newsroom/press-releases/2025/2024-presidential-election-voting-registration-tables.html | https://www.eac.gov/news/2025/06/30/us-election-assistance-commission-releases-2024-election-administration-and-voting

.

131.

U.S. Senate. Treaties. U.S. Senate https://www.senate.gov/about/powers-procedures/treaties.htm

The Constitution provides that the president ’shall have Power, by and with the Advice and Consent of the Senate, to make Treaties, provided two-thirds of the Senators present concur’ (Article II, section 2). Treaties are formal agreements with foreign nations that require two-thirds Senate approval. 67 senators (two-thirds of 100) must vote to ratify a treaty for it to take effect. Additional sources: https://www.senate.gov/about/powers-procedures/treaties.htm

.

132.

Federal Election Commission. Statistical summary of 24-month campaign activity of the 2023-2024 election cycle. (2023)

Presidential candidates raised $2 billion; House and Senate candidates raised $3.8 billion and spent $3.7 billion; PACs raised $15.7 billion and spent $15.5 billion. Total federal campaign spending approximately $20 billion. Additional sources: https://www.fec.gov/updates/statistical-summary-of-24-month-campaign-activity-of-the-2023-2024-election-cycle/

.

133.

OpenSecrets. Federal lobbying hit record $4.4 billion in 2024. (2024)

Total federal lobbying reached record $4.4 billion in 2024. The $150 million increase in lobbying continues an upward trend that began in 2016. Additional sources: https://www.opensecrets.org/news/2025/02/federal-lobbying-set-new-record-in-2024/

.

134.

Columbia/NBER. Odds of a single vote being decisive in a u.s. Presidential election. Columbia/NBER: What Is the Probability Your Vote Will Make a Difference? https://sites.stat.columbia.edu/gelman/research/published/probdecisive2.pdf (2012)

National average: 1 in 60 million chance (2008 election analysis by Gelman, Silver, Edlin) Swing states (NM, VA, NH, CO):  1 in 10 million chance Non-competitive states: 34 states >1 in 100 million odds; 20 states >1 in 1 billion Washington DC: 1 in 490 billion odds Methodology: Probability state is necessary for electoral college win × probability state vote is tied Additional sources: https://sites.stat.columbia.edu/gelman/research/published/probdecisive2.pdf | https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1465-7295.2010.00272.x

.

135.

Hutchinson and Kirk. Valley of death in drug development. (2011)

The overall failure rate of drugs that passed into Phase 1 trials to final approval is 90%. This lack of translation from promising preclinical findings to success in human trials is known as the "valley of death." Estimated 30-50% of promising compounds never proceed to Phase 2/3 trials primarily due to funding barriers rather than scientific failure. The late-stage attrition rate for oncology drugs is as high as 70% in Phase II and 59% in Phase III trials.

136.

DOT. DOT value of statistical life ($13.6M). DOT: VSL Guidance 2024 https://www.transportation.gov/office-policy/transportation-policy/revised-departmental-guidance-on-valuation-of-a-statistical-life-in-economic-analysis (2024)

Current VSL (2024): $13.7 million (updated from $13.6M) Used in cost-benefit analyses for transportation regulations and infrastructure Methodology updated in 2013 guidance, adjusted annually for inflation and real income VSL represents aggregate willingness to pay for safety improvements that reduce fatalities by one Note: DOT has published VSL guidance periodically since 1993. Current $13.7M reflects 2024 inflation/income adjustments Additional sources: https://www.transportation.gov/office-policy/transportation-policy/revised-departmental-guidance-on-valuation-of-a-statistical-life-in-economic-analysis | https://www.transportation.gov/regulations/economic-values-used-in-analysis

.

137.

PLOS ONE. Cost per DALY for vitamin a supplementation. PLOS ONE: Cost-effectiveness of "Golden Mustard" for Treating Vitamin A Deficiency in India (2010) https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0012046 (2010)

India: $23-$50 per DALY averted (least costly intervention, $1,000-$6,100 per death averted) Sub-Saharan Africa (2022): $220-$860 per DALY (Burkina Faso: $220, Kenya: $550, Nigeria: $860) WHO estimates for Africa: $40 per DALY for fortification, $255 for supplementation Uganda fortification: $18-$82 per DALY (oil: $18, sugar: $82) Note: Wide variation reflects differences in baseline VAD prevalence, coverage levels, and whether intervention is supplementation or fortification Additional sources: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0012046 | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266495

.

138.

UN News. Clean water & sanitation (LMICs) ROI. UN News https://news.un.org/en/story/2014/11/484032 (2014).

139.

PMC. Cost-effectiveness threshold ($50,000/QALY). PMC https://pmc.ncbi.nlm.nih.gov/articles/PMC5193154/

The $50,000/QALY threshold is widely used in US health economics literature, originating from dialysis cost benchmarks in the 1980s. In US cost-utility analyses, 77.5% of authors use either $50,000 or $100,000 per QALY as reference points. Most successful health programs cost $3,000-10,000 per QALY. WHO-CHOICE uses GDP per capita multiples (1× GDP/capita = "very cost-effective", 3× GDP/capita = "cost-effective"), which for the US ( $70,000 GDP/capita) translates to $70,000-$210,000/QALY thresholds. Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC5193154/ | https://pmc.ncbi.nlm.nih.gov/articles/PMC9278384/

.

140.

Integrated Benefits Institute. Chronic illness workforce productivity loss. Integrated Benefits Institute 2024 https://www.ibiweb.org/resources/chronic-conditions-in-the-us-workforce-prevalence-trends-and-productivity-impacts (2024)

78.4% of U.S. employees have at least one chronic condition (7% increase since 2021) 58% of employees report physical chronic health conditions 28% of all employees experience productivity loss due to chronic conditions Average productivity loss: $4,798 per employee per year Employees with 3+ chronic conditions miss 7.8 days annually vs 2.2 days for those without Note: 28% productivity loss translates to roughly 11 hours per week (28% of 40-hour workweek) Additional sources: https://www.ibiweb.org/resources/chronic-conditions-in-the-us-workforce-prevalence-trends-and-productivity-impacts | https://www.onemedical.com/mediacenter/study-finds-more-than-half-of-employees-are-living-with-chronic-conditions-including-1-in-3-gen-z-and-millennial-employees/ | https://debeaumont.org/news/2025/poll-the-toll-of-chronic-health-conditions-on-employees-and-workplaces/

.

141.

Chainalysis. Crypto Hacking and Stolen Funds in 2025. https://www.chainalysis.com/blog/crypto-hacking-stolen-funds-2026/ (2026).

142.

Federal Bureau of Investigation, Internet Crime Complaint Center. Internet Crime Report 2024. https://www.ic3.gov/AnnualReport/Reports/2024_IC3Report.pdf (2025).

143.

CSO Online. 96% of cybercrimes go unpunished. CSO Online: Why Internet Crime Goes Unpunished https://www.csoonline.com/article/2618598/why-internet-crime-goes-unpunished.html

Less than 1% of cybercrimes prosecuted (UK: 65 prosecutions vs 17,900 reported cases in 2018)  99% of cybercrimes go unpunished Perpetrators extremely difficult to identify and pursue Cross-national boundaries make prosecution nearly impossible Note: Rules of evidence and international jurisdiction make cybercrime possibly harder to prosecute than any other area of law enforcement Additional sources: https://www.csoonline.com/article/2618598/why-internet-crime-goes-unpunished.html | https://informationsecuritybuzz.com/expert-comments/only-1-of-cybercrimes-prosecuted/

.

144.

Cybersecurity Ventures. Will the Cybercrime Economy Plateau in 2026? https://cybersecurityventures.com/will-the-cybercrime-economy-plateau-in-2026/ (2026).

145.

World Economic Forum. Global Cybersecurity Outlook 2026. https://www.weforum.org/publications/global-cybersecurity-outlook-2026/ (2026).

146.

Harrison, M. How much did the soviets really spend on defence? New evidence from the close of the brezhnev era. Warwick Economic Research Papers https://warwick.ac.uk/fac/soc/economics/staff/mharrison/public/ (2003)

Estimates of Soviet military spending as share of GDP ranged from 10-20%, with Harrison’s analysis settling on approximately 15-18% of GDP in the late Brezhnev era (late 1970s to early 1980s). Even within the Soviet Union itself, reliable figures were difficult to produce because the military budget involved multiple government ministries and official statistics systematically understated defense outlays.

147.

Firth, N. E. & Noren, J. H. Soviet Defense Spending: A History of CIA Estimates, 1950–1990. (Texas A&M University Press, 1998).

Comprehensive history of CIA estimates of Soviet defense spending from 1950 to 1990. Since the mid-1980s, the Soviet Union devoted between 15 and 17 percent of its annual GNP to military spending according to US government sources. Outside estimates ranged between 10 and 20 percent of GDP. Soviet official statistics had lied for at least a quarter century about the true size of the military budget, reporting only a small fraction of defense outlays. Defense expenditures rose 4-7% per year until the early 1980s, then slowed as GNP growth slipped to about 3%.

148.

Scheidel, W. State revenue and expenditure in the han and roman empires. in State power in ancient china and rome (Oxford University Press, 2015).

Comparative analysis of state fiscal capacity in the Han and Roman empires. The Roman army accounted for 60-80% of total state expenditure, making it the dominant fiscal commitment throughout Roman history. Military spending was described as “massively redistributive in both spatial and social terms.” Both empires were essentially low-tax regimes (estimated 5-7% of GDP in taxes), but the Roman Empire allocated a far larger share of state revenue to its military than did the Han.

149.

Walsh, C. Understanding venezuela’s collapse. Harvard Gazette https://news.harvard.edu/gazette/story/2019/02/harvard-expert-tries-to-make-sense-of-venezuelas-collapse/ (2019).

150.

World Bank. Lebanon: Poverty More Than Triples over the Last Decade Reaching 44% Under a Protracted Crisis. https://www.worldbank.org/en/news/press-release/2024/05/23/lebanon-poverty-more-than-triples-over-the-last-decade-reaching-44-under-a-protracted-crisis (2024).

151.

World Bank Independent Evaluation Group. World Bank Group Somalia: Country Partnership Framework Background and Context. https://ieg.worldbankgroup.org/evaluations/world-bank-group-somalia/chapter-1-background-and-context (2024).

152.

Mubarak, M. A Losing Game: Countering Al-Shabab’s Financial System. https://hiraalinstitute.org/a-losing-game-countering-al-shababs-financial-system/ (2020).

153.

Partnership Africa Canada. Reap What You Sow: Greed and Corruption in Zimbabwe’s Marange Diamond Fields. https://impacttransform.org/wp-content/uploads/2017/09/2012-Nov-Reap-What-You-Sow-Greed-and-Corruption-in-Zimbabwes-Marange-Diamond-Fields.pdf (2012).

154.

International Monetary Fund. Zimbabwe: 2009 Article IV Consultation—Staff Report. https://www.imf.org/en/Publications/CR/Issues/2016/12/31/Zimbabwe-2009-Article-IV-Consultation-Staff-Report-Public-Information-Notice-on-the-22925 (2009).

155.

Independent Evaluation Office of the International Monetary Fund. The IMF and Argentina, 1991–2001. https://www.imf.org/en/Publications/Independent-Evaluation-Office-Reports/Issues/2016/12/31/The-IMF-and-Argentina-1991-2001-17590 (2004) doi:10.5089/9781589063808.017.

156.

United Nations Office on Drugs and Crime. Explainer: Organized crime and gang violence in Haiti. (2026).

157.

World Bank. Democratic Republic of Congo Systematic Country Diagnostic: Policy Priorities for Poverty Reduction and Shared Prosperity. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/171101529346675751/congo-democratic-republic-of-systematic-country-diagnostic (2018).

158.

Curtis, G. E. Yugoslavia: A Country Study. (Federal Research Division, Library of Congress, Washington, D.C., 1992).

159.

Hanke, S. H. Yugoslavia destroyed its own economy. The Wall Street Journal https://www.wsj.com/articles/SB925252441931960355 (1999).

160.

Olson, M. Power and Prosperity: Outgrowing Communist and Capitalist Dictatorships. (Basic Books, New York, 2000).

161.

Financial Times. The makhlouf business empire. Financial Times https://www.ft.com/content/e29a73f8-6b78-11e0-a53e-00144feab49a (2011).

162.

Central Intelligence Agency. The world factbook: Military expenditures. (2021).

163.

U.S. Energy Information Administration. Country Analysis Brief: Libya. https://www.eia.gov/international/content/analysis/countries_long/Libya/pdf/libya.pdf (2024).

164.

Federal Bureau of Investigation. North korea responsible for $1.5 billion bybit hack. (2025).

165.

Sinn, M. P. Incentive Alignment Bonds: Making Public Goods Financially and Politically Profitable. https://manual.warondisease.org/knowledge/appendix/incentive-alignment-bonds-paper.html (2025) doi:10.5281/zenodo.18203221

Government spending is optimized for lobbying intensity, not net societal value. Programs with 100:1 benefit-cost ratios get billions while programs with negative returns get hundreds of billions. Incentive Alignment Bonds flip this by creating a capital pool that rewards politicians (via campaign support and post-office opportunities) for funding high-NSV programs over low-NSV alternatives. The result: public good becomes private profit for both investors and elected officials.

166.

Sinn, M. P. The Continuous Evidence Generation Protocol: Two-Stage Validation (RWE → Pragmatic Trials). https://manual.warondisease.org/knowledge/appendix/dfda-spec-paper.html (2025) doi: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.

167.

Sinn, M. P. Ubiquitous Pragmatic Trial Impact Analysis: How to Prevent a Year of Death and Suffering for 84 Cents. https://manual.warondisease.org/knowledge/appendix/dfda-impact-paper.html (2025) doi:10.5281/zenodo.18243914

Only 15 diseases/year get their first treatment each year. With 6.65 thousand 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 $0.842 per year of healthy life saved.

168.

Sinn, M. P. The 1% Treaty: Harnessing Greed to Eradicate Disease. https://manual.warondisease.org/knowledge/economics/1-pct-treaty-impact.html (2025) doi:10.5281/zenodo.18161560

6.65 thousand diseases have zero FDA-approved treatments; at current trial capacity, exploring them takes  443 years. Redirecting 1% of military spending scales capacity 12.3x, cutting the timeline to  36 years and preventing 10.7 billion deaths. At $0.00177/DALY, 50.3kx more cost-effective than the best existing interventions. Incentive Alignment Bonds make adoption politically viable.