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STATUS: DRAFT. Requires securities, antitrust, and CFIUS counsel review before any organized buy-up begins. Market-cap numbers are approximate and should be re-verified against current 10-K filings before publication.
COST TO BUY CONTROL OF THE WESTERN MILITARY-INDUSTRIAL COMPLEX: approximately $873 billion realistic, or ~$109 (95% CI: $107-$111) per global human.
ANNUAL LOBBYING BUDGET YOU GET TO REDIRECT: $198 million (95% CI: $190 million-$210 million), not yet pointed at the 1% treaty167 168. After the takeover, it is.
EXPECTED VALUE PER GLOBAL HUMAN PARTICIPANT: ~$530,000-$2,000,000 in total expected value at base case (~6,000x-22,000x the contribution; mostly welfare value, not cash). Even after a 99% pessimism haircut, ~$5,000-$20,000 in expected total value per $109 (95% CI: $107-$111) contributed.
This is the lawsuit escalated. The lawsuit is the cheap side path: own one share, send the board a love letter (the law calls it a legal letter the board is required to read), and the board is required to read the math. The Fund is the main version: pool capital, own enough shares to matter, and make the best lobbyists money can buy start working on keeping their shareholders alive.
Why “Loving,” Not “Hostile”
A normal hostile takeover is hostile to the people being acquired. The acquirer pays as little as possible. The existing shareholders get cashed out at a small premium. The directors and officers usually lose their jobs. The acquired company is restructured against the prior management’s wishes.
This takeover does the opposite of all four.
- Existing shareholders are not the enemy. The campaign is built around the claim that the companies are worth more under a better long-term strategy: same engineering base, same federal customer, fewer self-defeating lobbying objectives, and a larger economy to sell into. Existing shareholders are not asked to donate value. They are asked to consider the better trade.
- Military-contractor employees keep their jobs. The companies are not liquidated. The engineering workforce is redirected toward medical, biotech, and dual-use civilian applications that compound at higher rates in the post-treaty economy. Headcount goes up, not down.
- Directors and officers gain personal life expectancy. The settlement adds approximately 12 years (95% CI: 8 years-18 years) to the average beneficiary’s healthy life, including the directors and officers themselves and their families. The same directors who currently face the same age-stratified disease risk as everyone else gain measurable additional years of life from the company they direct settling rather than fighting.
- The acquirers are everyone. The campaign has no central acquirer extracting value at the expense of others. The control premium, if one is paid, is paid to existing shareholders. Later participants capture the policy benefits. Military contractors capture an addressable market roughly 1.43x (95% CI: 1.22x-1.56x) larger than the current trajectory at year 15. The structure is designed so the people being acquired are also beneficiaries of the acquisition.
The only thing the takeover changes is a budget line item: the $198 million (95% CI: $190 million-$210 million)/year of lobbying that is not yet directed at the 1% treaty. The humans associated with that line item are not the problem. The direction is.
Why Buying Shares Is Selfishly Rational
The campaign does not require altruism. It requires self-interest correctly calculated.
A military contractor’s share price today reflects its current business model: sell weapons, lobby for more weapons spending, repeat. If the campaign succeeds, two things happen mechanically:
- The addressable market grows. Under the treaty trajectory, GDP at year 15 is roughly 1.43x (95% CI: 1.22x-1.56x) the current trajectory. Even if military spending stays at the same fraction of GDP, the absolute military budget grows in proportion. A military contractor operating in a bigger economy captures proportionally more absolute revenue, with no change in its market share.
- The pivot opportunity opens. Military engineering talent applied to medical, biotech, AI-augmented drug discovery, decentralized FDA169,170 infrastructure, sensors, imaging, materials, and dual-use civilian applications compounds at substantially higher rates than current cost-plus military work. The same workforce produces more value per engineer-year in the medical pivot than in the weapons-system status quo.
The lopsided upside. If the campaign succeeds, military contractor shares appreciate substantially through both channels above. If the campaign fails, the shares stay roughly where they are (a normal military contractor position). The downside is the foregone return on whatever the share purchase displaced (typically index funds at ~7-10% annualized).
The credibility cascade. As the campaign builds credibility, the market may begin to price in a higher probability that the thesis works. The lawsuit (and the legal-letter pipeline it sits inside) is the catalyst that activates this cycle: every legal letter filed, every board response received, every press article covering the math is a credibility-step that shifts probability mass toward “campaign succeeds.”
This is not speculation. It is the same way any value-event gets priced into a stock: M&A announcements, FDA approvals, regulatory rulings, earnings revisions. The campaign supplies the value-event (a structural shift in the military contractor’s long-term addressable market and pivot optionality) and the market prices it in as the probability of success rises.
THE FLYWHEEL: THREE LOOPS, ONE MACHINE
HUMANITY BUYS MILITARY CONTRACTOR SHARES
(~$109 (95% CI: $107-$111) per human buys all of them)
|
v
CREDIBILITY RISES
| \
| more shareholders read the analysis
| [LOOP A: the board pressure improves]
v
BOARD CONTROL ACCUMULATES
|
v
LOBBYING REDIRECTED TO THE 1% TREATY
($198 million (95% CI: $190 million-$210 million)/year changes sides)
|
v
TREATY PASSES ($27.2 billion/year, forever)
| \
| bondholders collect
| $2.72 billion/year, and the
| investor lobby pushes for 2%, then 5%
| [LOOP B: the lobbying gets stronger]
v
CLINICAL TRIALS FUNDED
($21.8 billion/year, 80% of every treaty dollar)
|
v
DISEASES START FALLING
|
v
ECONOMY GROWS
(1.43x (95% CI: 1.22x-1.56x) the current path at year 15)
|
\--> the big military contractors have a better long-term market
[LOOP C: the shareholder case improves]
Three reinforcing loops, one machine. Each lap makes the next lap cheaper.
Selfish and altruistic converge. A reader who does not care about disease eradication and wants only to make money has the same correct action as a reader who cares about disease eradication and would buy the shares purely to redirect the lobbying. Both buy the shares. The campaign requires no shared motivation, only shared action.
Market-Impact and Compliance Boundary
Large acquisition programs can affect price, trigger disclosure obligations, and attract regulatory scrutiny. This chapter is not a trading campaign, a recommendation to coordinate purchases, or a model of short-term price impact.
The public thesis is narrower and cleaner: disclosed, long-horizon shareholders can use ordinary shareholder tools to ask whether military-contractor lobbying maximizes long-term shareholder value. Any organized acquisition vehicle, campaign to put your own people on the board, or large ownership program requires securities, antitrust, CFIUS, and proxy-solicitation review before it moves from analysis to action.
Why This Works
The military-industrial complex is not a sovereign power. It is a collection of publicly traded corporations whose shares are for sale to anyone with a brokerage account. The lobby that has driven military budget expansion for eighty years is a line item in those corporations’ SG&A. The line item is controllable by whoever holds the board. The board is electable by whoever holds 50%+1 of the shares. The shares are for sale.
Stated as a chain: the diseases that will kill you and your family stay in the trial queue because the trials are not funded. The trials are not funded because the federal budget pays for missiles instead of cures. The federal budget pays for missiles instead of cures because the military lobby tells Congress to. The military lobby tells Congress to because the military contractors authorize and pay for it. The military contractors authorize and pay for it because their boards vote to. The boards vote to because their shareholders elect them. The shareholders elect them because nobody has yet pointed out that they could elect a different board for the price of a coffee per global human.
This page points it out.
The Math
Major Western military contractors (approximate market caps)
| RTX (Raytheon) |
RTX |
~$160B |
~$80B |
| Boeing |
BA |
~$130B |
~$65B |
| Lockheed Martin |
LMT |
~$110B |
~$55B |
| General Dynamics |
GD |
~$80B |
~$40B |
| Northrop Grumman |
NOC |
~$75B |
~$38B |
| L3Harris |
LHX |
~$45B |
~$23B |
| Leidos |
LDOS |
~$20B |
~$10B |
| Booz Allen Hamilton |
BAH |
~$20B |
~$10B |
| CACI International |
CACI |
~$11B |
~$6B |
| Huntington Ingalls |
HII |
~$10B |
~$5B |
| SAIC |
SAIC |
~$8B |
~$4B |
| US primes subtotal |
|
~$670B |
~$336B |
| BAE Systems (UK) |
BA.L |
~$76B |
~$38B |
| Thales (France) |
HO.PA |
~$55B |
~$28B |
| Allied primes |
|
~$131B |
~$66B |
| Total Western primes |
|
~$801B |
~$401B |
Numbers are approximate and require verification against current filings before any campaign acts on them.
Realistic cost after acquisition premium
Acquiring influence at this scale would not happen at the last quoted market price. Any real acquisition program has to budget for premium, timing, disclosure, execution friction, and legal review. Realistic effective cost after a 1.8x (95% CI: 1.5x-3x) acquisition premium:
- Nominal: ~$401 billion
- Realistic with acquisition premium: $873 billion
The premium is part of the capital required to buy influence at scale. It is not a promise of trading profit.
Per-person cost
| Global humans (8 billion) |
~$109 (95% CI: $107-$111) |
| Global adults (~5.5 billion) |
~$130 |
| Global middle class+ (~3.5 billion) |
~$200 |
| US adults (260 million) |
~$2,700 |
| US households (130 million) |
~$5,400 |
| US households earning >$100k (~50 million) |
~$14,000 |
The entire Western military-industrial lobbying apparatus can be brought under common shareholder control for less than the price of a coffee per week per global human for a single year.
This number is calculable. It is not a fantasy.
How much you actually need
$873 billion is the price of certainty, not the price of victory. It is what it costs to own 50.1% and need nobody’s agreement. Board control usually arrives much earlier:
| One share (~$200) |
A letter the board is obliged to read |
The lawsuit campaign |
| A fraction of a percent, plus a campaign to put your own people on the board |
Board seats, if the financial case persuades the index funds |
Engine No. 1 won three ExxonMobil seats with 0.02% of the shares |
| 1-5% across the primes |
Agenda-setting positions at every annual meeting |
The activist tier |
| 50.1% |
Nobody has to agree with you |
$873 billion |
Three institutional investors hold 60-75% of every big military contractor, and their job is to vote for whatever makes the shares worth more. The pitch to them is the one this chapter already made: the treaty makes the companies more valuable. Each tier is insurance against the cheaper tier failing. You climb only as far as the persuasion fails.
What Humanity Does Once It Owns the Companies
Ranked by impact. The first action is the entire game; the rest are bonus.
Tier 1: Redirect the lobbying budget (highest impact, zero cost)
Military contractors currently spend $198 million (95% CI: $190 million-$210 million) per year lobbying Congress to expand military appropriations. This is the most effective political-influence operation on Earth. It has driven US military spending from its 1939 baseline to current levels and prevented every serious proposal for reallocation.
After the takeover, the same budget is reallocated to lobby for the 1% treaty. Same lobbyists. Same senators. Same lunches. The only difference is that the murder-money machine starts asking for medicine money.
Cost: $0 (it is the same line item, just relabeled).
Time to effect: Immediate. The first quarter’s lobbying disclosures will show the new direction.
Why this is the entire game: US military and foreign policy follows military-industry lobbying with high fidelity. Flip the lobby, and the senators who depend on military PAC money to keep their seats follow within one election cycle. China and Russia become the only remaining holdouts, and they are easier holdouts to address with the US lobby championing the treaty than with the US lobby blocking it.
Tier 2: Public corporate endorsement
Every major military contractor publicly endorses the 1% treaty. The most common political argument against the treaty (“industry opposes it”) evaporates overnight. Senators lose cover. Editorial boards reverse positions. The Overton window shifts by a decade in a week.
Cost: $0.
Time to effect: One press release per contractor.
Tier 3: Stop opposing donations
Military PACs currently donate to candidates who oppose the treaty. After the takeover, those donations stop. They can also reverse direction: donate to candidates who support the treaty. Per cycle this redirects roughly $30-50 million across all military PACs.
Cost: $0 (reallocates existing political spending).
Time to effect: Next election cycle.
Tier 4: Shareholder resolutions requiring ROI analysis of all lobbying
Every shareholder meeting requires the board to publish a policy-return analysis of the lobbying budget: current objective versus the 1% treaty versus pragmatic clinical trials versus any alternative the Optimal Policy Generator171 ranks higher.
The new analyses will reach the conclusion the demand letters have been forcing all along: lobbying for military expansion produces negative ROI for shareholders because it suppresses the GDP growth that funds the company’s addressable market. The analysis becomes auditable documentation that locks in the new lobbying direction against backsliding.
Cost: Negligible (corporate audit work).
Time to effect: Next AGM, typically 3-9 months.
Tier 5: Pivot R&D toward medical and biotech applications
Military contractors already produce technologies with direct medical applications: imaging, sensors, materials, AI, robotics, encryption. R&D budgets can be partially redirected toward decentralized FDA169,170 infrastructure, AI-augmented drug discovery, and clinical trial logistics. The existing engineering workforce is well suited to this pivot; many of these companies already have biotech-adjacent product lines.
Cost: Capital reallocation, no new spending required.
Time to effect: 1-3 years for substantial product impact.
Tier 6: Cancel weapons systems with no defensive justification
Some military programs have negative externalities exceeding their revenue (autonomous weapons, cluster munitions, certain export-only programs). The board can wind these down without compromising the company’s military product lines.
Cost: Negative (eliminates loss-making or marginal programs).
Time to effect: 1-3 years.
Tier 7: Open-source military IP for medical use
Patents on technologies with dual-use applications (imaging, sensors, AI models, materials, manufacturing processes) can be licensed for free for medical applications. This accelerates DFDA infrastructure and drug discovery without requiring active R&D pivot.
Cost: Foregone licensing revenue, typically small relative to the medical impact.
Time to effect: 6-12 months.
Tier 8: Partial manufacturing conversion to medical devices and vaccines
Military factories have precision manufacturing, supply chain, and quality systems that translate well to medical device and vaccine production. Reverse-WW2 industrial mobilization: instead of converting consumer factories to military, convert military to consumer and medical.
Cost: Capex investment, typically pays back within 5-7 years.
Time to effect: 3-5 years.
Tier 9: Distribute dividends directly to the 8 billion shareholders
Military contractor profits historically flow to a narrow set of institutional and high-net-worth shareholders. After the takeover, profits flow to the 8 billion humans who own the shares. Per-capita this is small (~$10-50 per global human per year) but it is the first direct income transfer from the military industrial complex to humanity in history.
Cost: Negative (just redistributes existing profits).
Time to effect: Next dividend declaration.
Expected Value Per Person
A note on what these numbers are. The totals below are total value to you as a human: they add the financial return on your shares to the welfare value of the extra years of life and health the plan buys you, valued at standard QALY and statistical-life rates. Most of the total is that welfare value, not cash in your account. If you want the financial equity return on its own, modeled against the historical track record of taking over badly-run companies (Buffett, the activist literature, the governance evidence) with a floored downside, that is in Investment Terms. The two are different objects. Do not hand a skeptic the welfare multiple and call it a stock return.
Investment per person (realistic, including acquisition premium)
Expected return per person (base case, treaty passes and multipliers hold)
For a global human contributing ~$109 (95% CI: $107-$111):
| Lifetime income gain from the treaty trajectory |
~$518,879 (95% CI: $221,703-$860,930) |
| Disease eradication value: ~12 years (95% CI: 8 years-18 years) of extra healthy life × global value per healthy life-year (~$30-50K/year) |
~$360,000-$600,000 |
| Lower lifetime apocalypse risk |
~$1,000-$10,000 |
| Military-contractor dividends now flowing to humanity |
~$10-50/year ongoing |
| Total EV per global human (base case) |
~$530,000-$2,000,000 |
Base case ROI multiple per global human: ~6,000x to 22,000x.
For a US adult contributing ~$2,700:
| Personal net-worth gain at year 15 (US median net worth ~$190K, economy at 1.43x (95% CI: 1.22x-1.56x) the current trajectory) |
~$40,000-$140,000 |
| Disease eradication: ~12 years (95% CI: 8 years-18 years) of extra healthy life × US QALY threshold ($100,000/year) |
~$800,000-$1,800,000 |
| Lower lifetime apocalypse risk |
~$10,000-$100,000 |
| Direct military-industry dividends |
~$500-$2,000/year ongoing |
| Total EV per US adult (base case) |
~$850,000-$2,100,000 |
Base case ROI multiple per US adult: ~300x to 800x.
Pessimism-adjusted expected value
Apply a 99% pessimism haircut to every line item above (treaty fails to pass, multipliers are wrong, takeover is partially blocked, implementation is incomplete, etc.):
Even with a 99% haircut, the expected total value remains roughly 60x-220x the contribution. Most of that is welfare value (extra healthy life-years at standard rates), not cash; the financial-only return is modeled in Investment Terms.
How It Finances Itself (Not a Bonfire)
The numbers above are the price if you paid all cash and then set the money on fire. You would do neither.
Start with the cash. Military contractor cash flows are about as steady as cash flows get, which is precisely what lets you borrow against them. A leveraged buyout of something this stable can carry 50% to 65% debt, so taking a company private costs an equity slice, not the whole sticker. The acquisition premium pushes the price up and the borrowed money pushes the cash-down requirement back down; they roughly cancel. You need an equity check, plus debt the company itself carries.
Then comes the good objection: if the debt is serviced by the company’s cash flows, and you are redirecting the company, do you not strangle the thing you just bought? In today’s world, yes. That is the trap.
But you are not redirecting these companies into a desert. You are redirecting them into a market the plan itself irrigates. Today a company pays for its own efficacy trials, which are the majority of the cost of a drug, and then waits a decade to see a dollar back. That decade-long hole is what would eat the debt. The Right to Trial Act172 and the decentralized FDA169,170 fill it: the public trial fund pays for the efficacy component, the dFDA makes each trial roughly 44.1x (95% CI: 12.8x-210x) cheaper, and anyone may join any trial. The company’s single largest expense stops being an expense and becomes a funded revenue line. It is cash-flow positive on the new model almost at once. There is no decade to bridge.
And the competence transfers exactly. These firms are not good at “weapons.” They are good at winning government-funded R&D contracts, integrating complex systems, and lobbying. Point that skill at the health-security market the treaty creates and it is the same skill in a new costume. The lobbying you redirect passes the treaty; the treaty funds the trials; the trials are the contracts these companies win. The snake eats its own tail in the one direction where that is a good thing.
So this is not capital poured into a hole. It is capital redeployed into a government-funded growth sector that the redeployment itself calls into being. The redirected company is worth more, not less, which is the entire reason the debt is serviceable and the early shareholders get richer on the way in. Lenders finance growth pivots. They do not finance bonfires. This is the former wearing the costume of the latter.
Real Frictions
These are real, and they shape how the campaign is structured. They do not eliminate it.
Acquisition compliance
Military contractor stock floats are not infinitely liquid. A large acquisition program has to assume price impact, filing obligations, and legal scrutiny. The modeled premium is 1.8x (95% CI: 1.5x-3x) for acquisition planning, not a public trading target.
Mitigation: counsel-led structure, disclosure planning, beneficial-ownership monitoring, proxy-solicitation review, CFIUS analysis, and public communication of the long-term shareholder objective rather than any short-term trading outcome.
CFIUS and national security review
Any large or unusual ownership change in a major US military contractor triggers Committee on Foreign Investment in the United States review. A coalition of US citizens buying shares is domestic and falls outside CFIUS, but the Department of Defense has informal mechanisms to slow or block ownership changes it considers adversarial to national security. This is a real obstacle, not a fatal one.
Mitigation: CFIUS reviews substance: domestic ownership, disclosed intent, no foreign control, and classified programs left under existing cleared management. The campaign has all four. The presentation’s job is to make that substance legible.
The deeper argument runs the other way. The current base is itself the national-security problem: it rewards competence in lobbying over competence in production, which is how a system spending close to a trillion dollars a year still cannot surge artillery shells and has failed its audit every year it has been tried. A takeover that turns these companies from buyers of influence back into builders of things, and stands up a health-security industrial base alongside the military one, is the pro-security move, not the adversarial one. The single piece to keep off the table is the weapons themselves: the actual munitions and classified programs stay under existing cleared control. Humanity votes on the lobbying and the capital allocation. It does not vote on the nuclear codes.
Staggered boards and poison pills
Most big military contractors have anti-takeover provisions that delay control even with majority ownership. Staggered boards can be replaced only one-third per year. Poison pills can dilute acquirers the board deems hostile.
Mitigation: Practical control takes 2-3 years post-acquisition rather than immediate. Shareholder resolutions and demand letters operate in parallel during the transition period and produce most of the lobbying-redirection benefit before formal board control is achieved. The “loving” framing also matters here: poison pills are designed to deter acquirers who plan to extract value at the expense of existing shareholders. They are harder to justify against an acquirer mathematically demonstrating that existing shareholders are richer under the takeover than under the status quo.
Coordination capacity
Buying half the float of every big Western military contractor requires coordinating millions of purchasers. This is a real operational challenge, though not the corporate-campaign kind. It is closer to the chain-letter or viral-meme kind: distributed, opt-in, low-friction per participant.
Mitigation: A standardized acquisition vehicle (e.g., an index fund or trust dedicated to the takeover) that anyone can buy into for the price of one share. Open-source coordination of which contractors are being targeted in which quarter. The same recruitment funnel as the shirts campaign and the lawsuit campaign.
“But They’ll Lose Their Government Contracts”
This is the objection that sounds serious. It is not.
The objection goes: if a shareholder coalition takes over military companies and redirects their lobbying, the government will punish them by canceling their contracts. The companies go bankrupt. You bought an expensive pile of nothing. Congratulations.
The problem with this objection is that it assumes the Pentagon has options. It does not.
Huntington Ingalls Industries is the sole builder of nuclear aircraft carriers on planet Earth. There is no backup aircraft carrier factory. If the Pentagon cancels HII’s contract, the US Navy stops getting aircraft carriers. Not “gets them from someone else.” Stops getting them. Northrop Grumman is the sole builder of the B-21 Raider stealth bomber. General Dynamics is the sole builder of Columbia-class nuclear submarines. These are not competitive markets. They are monopolies, and the customer cannot leave.
The government does not contract with these companies because the companies lobby well. The government contracts with them because nobody else on the planet can build what they build. The lobbying wins marginal contracts, cost-plus expansions, and favorable terms on the next procurement cycle. It does not win the core work. The core work exists because a nuclear submarine requires roughly 10 million person-hours of specialized labor, and exactly one company has the workforce, the facilities, and the security clearances to deliver it.
So the real question is narrower than it sounds: does the marginal ROI on lobbying (winning the next cost-plus expansion) exceed the marginal ROI on diversification (pivoting that same money into health tech, renewable energy, AI-augmented drug discovery)? For a company operating in a post-treaty economy where GDP at year 15 is roughly 1.43x (95% CI: 1.22x-1.56x) larger, the diversification bet is obviously better. You are not choosing between revenue and no revenue. You are choosing between a slow-growth monopoly and a fast-growth monopoly that also has new product lines.
If this sounds theoretical, it has already happened. In 2021, a twelve-person hedge fund called Engine No. 1 won three board seats at ExxonMobil, one of the largest companies on Earth, on a platform of accelerating the energy transition. The stock did not crash. It went up. Shareholder activism that aligns a company with long-term secular trends makes the company more valuable, not less. The market is not confused about this. The market prices it in, which is why Engine No. 1’s investors made money.
The sole-supplier argument is not a reason the takeover fails. It is a reason the takeover is structurally safe. You are buying monopolies whose customers cannot leave, and redirecting their discretionary spending toward higher-return opportunities. The downside is “you own a monopoly military contractor.” The upside is “you own a monopoly military contractor that also does health tech in a substantially bigger economy.” This is not a hard trade.
Relationship to the Lawsuit Campaign
The two campaigns are complementary, not alternative.
| Cost per participant |
~$200 (one share) |
~$109 (95% CI: $107-$111) (proportional share of control) |
| Number of participants required |
Hundreds to thousands |
Millions to billions |
| Mechanism |
Force the math into boardrooms via demand letters |
Buy the board, change the lobbying direction |
| Time to effect |
1-3 years |
2-5 years |
| What it produces |
Public board responses, media coverage, Overton window shift |
Direct policy change via redirected lobbying |
| Failure mode |
Court dismisses, board ignores |
Buy-up incomplete, board partial control |
| Compounding effect on the other |
Demand letters become takeover groundwork |
Shareholder control becomes the venue where the demands get enacted |
The lawsuit campaign generates the public attention and shareholder organization that makes the takeover financially feasible. The takeover, in turn, locks in the lawsuit’s asks against backsliding by ensuring the board itself supports the treaty. Run them together.
Relationship to Buying Politicians Directly
There is also the rent-versus-own question. You can buy the politicians directly: roughly $25.5 billion (95% CI: $17.5 billion-$36.3 billion) for the American set, $128 billion (95% CI: $71.7 billion-$206 billion) for the world’s. It works, but it is rent. The money is spent, the politicians need re-buying every election cycle, and the other side can outbid you at the next auction. Shares are different. If the campaign works, you own the machine that buys the politicians, permanently. If it never works, you still own the shares and whatever they gained along the way. Buying politicians is an expense. Buying their owners is an asset. This is why the more expensive path is the cheaper one.
Next Steps
This page is a draft. Before any campaign acts on the math:
- Verify market cap and float numbers against current 10-K filings.
- Engage securities and antitrust counsel on the structure of an aggregating acquisition vehicle.
- Engage CFIUS counsel on framing and review posture.
- Build the acquisition vehicle (index fund, trust, or DAO-style coordination) that allows distributed participation at $109 (95% CI: $107-$111) per share.
- Coordinate with the lawsuit campaign so demand letters and share accumulation reinforce each other.
- Coordinate with the handout and shirts campaign so recruitment of participants happens through the same funnel.
For the underlying argument for why this is necessary, see Where Am I Wrong? and the 1% treaty paper. For the liability framework that quantifies the harm the takeover is correcting, see Humanity v. Government.
Your Money, Your Choice
The entire plan on this page, stated once: buy the military contractors, use their lobbyists to give the money back to the people, let the people decide what to spend it on.
That is it. Everything else on this page is the math proving it works and the frictions slowing it down.
The redirected $198 million (95% CI: $190 million-$210 million) per year does not go to a committee. It does not go to a czar. It does not go to a panel of experts who will thoughtfully allocate it on your behalf while charging 40% overhead. It goes to a Wishocracy173: every person gets a proportional say in how the reallocated funds are spent, under real budget constraints, with tradeoffs visible. You want the money spent on cancer trials? Vote for cancer trials. Pandemic preparedness? Vote for that. You think the whole thing is stupid and the money should stay in military spending? Vote for military spending. The system does not care what you pick. It cares that you pick.
This is the part that breaks political objections, because every political tribe already wants this. They just describe it differently.
If you are conservative: this is smaller government. The money currently disappears into a military bureaucracy that has failed its own audit every single year it has been tried. Giving it back to the people who earned it and letting them choose is the most conservative fiscal policy available. Less bureaucracy, more accountability, your money back.
If you are progressive: this is direct democratic allocation of public resources to healthcare, education, climate, and poverty reduction. No intermediary. No lobbying. The people who need the services choose the services.
If you are libertarian: this is individual choice replacing government planning. Instead of 535 members of Congress deciding how to spend a trillion dollars, 330 million Americans decide how to spend their share. The mechanism is voluntary. The outcome is decentralized.
If you are religious: this is what “love thy neighbor” looks like when you write it into the budget. Your neighbor is dying of a disease that has a cure stuck in a trial queue. You take the money currently pointed at building the next missile and point it at finishing the trial. You do not need to use the word “love.” You just move the decimal point.
The closest thing to a loser is the roughly 2,000 people currently paid to keep the budget pointed at missiles: the members of Congress collecting military PAC contributions, and the lobbyists whose fees depend on the budget growing. The plan’s response to them is a raise. The lobbyists get a client with a bigger budget asking for medicine instead of missiles (same firms, same lunches, better wine). The politicians get the Senator Smith arithmetic: more campaign money and a better post-office career, for voting yes. The only way to lose under this arrangement is to be offered more money to stop helping kill people, and refuse. Some will refuse. That is a decision, not a casualty. The number of people who benefit is roughly 8 billion of people (95% CI: 7.8 billion of people-8.2 billion of people).
The Ledger
Every person with skin in the game, before and after. This is the no-adversaries claim in auditable form.
| Existing shareholders |
Hold military contractor stock |
Same stock, repriced upward by the buy-up |
| Employees of the primes |
Build weapons on cost-plus |
Same desks plus the medical pivot; headcount up |
| Directors and officers |
The same disease risk as everyone |
~12 years (95% CI: 8 years-18 years) of additional healthy life |
| Early buyers |
Hold cash |
Bought probability while it was cheap |
| Every other human |
The disease queue |
~$518,879 (95% CI: $221,703-$860,930) in lifetime income, plus the healthy years to spend it |
| Pharma |
Casino: 90% failure on its own money |
Salary: trials become treaty-funded revenue |
| Insurers |
Pay chronic-disease claims forever |
Claims fall as cures land |
| Doctors |
Paid to argue with insurers |
Paid per trial participant |
| Soldiers |
Deployed to defend budget lines |
Same paycheck (99% of the budget stays), fewer occasions to die for it |
| Politicians who vote yes |
Military PAC money |
More money: campaign support now, a better career after |
| Lobbyists |
A $198 million (95% CI: $190 million-$210 million)/year client |
A richer client asking for medicine |
| Anyone who refuses the raise |
Paid to expand the budget |
Outbid and replaced. Self-inflicted. |
| The diseases |
6,650 of them, operating freely |
Eradication queue, fully funded |
The plan has exactly one structural adversary, and it is on the last row.
This is Wishocracy applied at its simplest: instead of the government deciding what you need, you decide what you need. The government’s track record on this question is a trillion dollars a year on missiles and zero dollars a year on the diseases that will probably kill you. Your track record on this question is that you would rather not die. The data favors your judgment.
The Funniness of This Loving Takeover, Mathematically
The financial ROI is obvious: ~$109 (95% CI: $107-$111) in, ~$530,000-$2,000,000 out. The financial ROI is also not the point. The point is that this is the funniest loving takeover in the universe, and the funniness is also calculable.
A normal hostile takeover produces one laugh: the laugh of the acquirer counting their gains. This one produces approximately 3.51 quadrillion laughs (95% CI: 971 trillion laughs-9.71 quadrillion laughs).
The chain:
The full calculation:
\[
\begin{gathered}
L_{shirt} \\
= DALYs_{max} \times L_{year} \\
= 565B \times 6{,}200 \\
= 3510T
\end{gathered}
\]
where:
\[
\begin{gathered}
DALYs_{max} \\
= DALYs_{global,ann} \times Pct_{avoid,DALY} \times T_{accel,max} \\
= 2.88B \times 92.6\% \times 212 \\
= 565B
\end{gathered}
\]
where:
\[
T_{accel,max} = T_{accel} + T_{lag} = 204 + 8.2 = 212
\]
where:
\[
\begin{gathered}
T_{accel} \\
= T_{first,SQ} \times \left(1 - \frac{1}{k_{capacity}}\right) \\
= 222 \times \left(1 - \frac{1}{12.3}\right) \\
= 204
\end{gathered}
\]
where:
\[
\begin{gathered}
T_{first,SQ} \\
= T_{queue,SQ} \times 0.5 \\
= 443 \times 0.5 \\
= 222
\end{gathered}
\]
where:
\[
\begin{gathered}
T_{queue,SQ} \\
= \frac{N_{untreated}}{Treatments_{new,ann}} \\
= \frac{6{,}650}{15} \\
= 443
\end{gathered}
\]
where:
\[
\begin{gathered}
N_{untreated} \\
= N_{rare} \times 0.95 \\
= 7{,}000 \times 0.95 \\
= 6{,}650
\end{gathered}
\]
where:
\[
\begin{gathered}
k_{capacity} \\
= \frac{N_{fundable,ref}}{Slots_{curr}} \\
= \frac{23.4M}{1.9M} \\
= 12.3
\end{gathered}
\]
where:
\[
\begin{gathered}
N_{fundable,ref} \\
= \frac{Subsidies_{trial,ref}}{Cost_{pragmatic,pt}} \\
= \frac{\$21.8B}{\$929} \\
= 23.4M
\end{gathered}
\]
where:
\[
\begin{gathered}
Subsidies_{trial,ref} \\
= Funding_{trial,ref} - OPEX_{trial} \\
= \$21.8B - \$40M \\
= \$21.8B
\end{gathered}
\]
where:
\[
\begin{gathered}
OPEX_{trial} \\
= Cost_{platform} + Cost_{staff} + Cost_{infra} \\
+ Cost_{regulatory} + Cost_{community} \\
= \$15M + \$10M + \$8M + \$5M + \$2M \\
= \$40M
\end{gathered}
\]
where:
\[
L_{year} = L_{day} \times 365 = 17 \times 365 = 6{,}200
\]
The ratio of laughs produced to laughs generated by a typical joke is approximately 3.51 quadrillion to 1. The ratio of laughs produced to the ~$109 (95% CI: $107-$111) per-human cost is approximately 39 trillion laughs per dollar. The cost-per-laugh is approximately $0.000000000000026.
Carl Linnaeus, Charles Darwin, and the entire history of biology never had a sample size large enough to measure a joke this funny. This page contains the first known calculation of a joke at quadrillion-laugh scale. The other contenders (the ozone treaty, the eradication of smallpox, the Marshall Plan) all produced fewer than 10^12 laughs each. This one produces more than 10^15.
Any remaining objection has to outweigh 3.51 quadrillion laughs.
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.
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
.
3.
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
.
4.
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
.
5.
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
.
6.
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
.
7.
U.S. Department of Defense.
5.56mm NATO ammunition bulk procurement pricing. (2024)
The cost of 5.56mm NATO ammunition at military bulk procurement rates is approximately $0.40 per round, based on Lake City Army Ammunition Plant production and commercial market floor prices for mil-spec M855 ammunition.
8.
Pike, J.
U.s. Forces fire 250,000 rounds for every insurgent killed. (2011)
The General Accounting Office reports that US forces used 1.8 billion rounds of small-arms ammunition per year, a level that more than doubled in five years. An estimated 250,000 rounds were fired for every insurgent killed in Iraq and Afghanistan.
9.
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/
.
10.
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.
11.
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
.
15.
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
.
16.
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
.
17.
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
.
18.
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
.
19.
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/
.
20.
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
.
21.
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).
24.
OpenSecrets. Defense sector lobbying summary.
OpenSecrets https://www.opensecrets.org/federal-lobbying/sectors/summary?id=D (2025)
Military sector federal lobbying totaled $198,009,793 in 2025, up from $159.5 million in 2024 and $142.9 million in 2023. Additional sources: https://www.opensecrets.org/federal-lobbying/sectors/summary?id=D
.
25.
Companies Market Cap.
BAE systems and thales market capitalization. (2026)
BAE Systems market capitalization approx $75.80B and Thales approx $56.68B as of June 2026, combined approx $132.5B for the two major allied European military primes. Additional sources: https://companiesmarketcap.com/thales/marketcap/
.
26.
Stock Analysis.
Military prime contractor market capitalization and float statistics. (2026)
Combined market capitalization of 11 US military primes approx $835.8B at the 2026-06-11 close: RTX $248.07B, Boeing $174.71B, Lockheed Martin $126.51B, General Dynamics $96.90B, Northrop Grumman $78.48B, L3Harris $58.16B, Leidos $15.36B, Huntington Ingalls $11.86B, CACI $11.61B, Booz Allen Hamilton $9.24B, SAIC $4.86B. Tradeable float across the 13 Western primes (adding BAE Systems and Thales) approx $880B, about 91 percent of combined cap (range $850-900B), from per-company float and shares-outstanding statistics pages; big-5 floats verified individually (RTX 92.6%, BA 96.0%, LMT 85.7%, GD 94.2%, NOC 99.7%); Thales is the outlier at approx 45% float because the French State (26.60%) and Dassault Aviation (26.59%) stakes are locked. Additional sources: https://stockanalysis.com/stocks/rtx/statistics/ | https://www.dassault-aviation.com/en/group/about-us/shareholding-structure-and-organization-chart/
.
27.
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.
28.
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
.
29.
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.
31.
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/
.
32.
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
.
33.
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
.
34.
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/
.
35.
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
.
36.
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
.
37.
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
.
39.
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
.
42.
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/
.
43.
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
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44.
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
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45.
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
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46.
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/
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47.
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/
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48.
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
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49.
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/
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50.
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/
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51.
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
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52.
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
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53.
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
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56.
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/
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58.
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.
59.
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
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64.
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.
67.
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.
68.
ICAN. Global nuclear weapon maintenance cost: $100 billion/year.
ICAN: Global Spending $100B 2024 https://www.icanw.org/global_spending_on_nuclear_weapons_topped_100_billion_in_2024 (2024)
2024: >$100 billion ($190,151/minute) - 11% increase ($9.9B) from 2023 Nine nuclear-armed states: China, France, India, Israel, N. Korea, Pakistan, Russia, UK, US US: $56.8B (more than all other 8 states combined); China: $12.5B; UK: $10B (+26% YoY, biggest increase) Historical trend: $72.9B (2019) → $82.4B (2021) → >$100B (2024) Private sector contracts: $463B ongoing; $42.5B earned from contracts in 2024 alone Note: $100B/year figure accurate for 2024. Rapid growth from $73B (2019). US spends more than rest of world combined on nuclear weapons Additional sources: https://www.icanw.org/global_spending_on_nuclear_weapons_topped_100_billion_in_2024 | https://www.icanw.org/the_cost_of_nuclear_weapons
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69.
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.
70.
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
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71.
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
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72.
International IDEA.
International IDEA voter turnout database world export. (2026)
Best current register-based estimate of global registered voters. Sum of the latest available country-level Registration counts in International IDEA’s world export on 2026-04-22 = 4,128,142,495 registered voters across 199 countries and political entities. Methodology notes that Registration is the number of names on the voters’ register as reported by electoral management bodies, and comparability is imperfect because voter rolls and registration systems differ across countries. Additional sources: https://www.idea.int/data-tools/data/voter-turnout-database | https://www.idea.int/data-tools/export?type=region_only&themeId=293&world=all&loc=home
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74.
Federation of American Scientists. World nuclear forces.
Federation of American Scientists https://fas.org/issues/nuclear-weapons/status-world-nuclear-forces/ (2024)
As of early 2025, we estimate that the world’s nine nuclear-armed states possess a combined total of approximately 12,241 nuclear warheads. Additional sources: https://fas.org/issues/nuclear-weapons/status-world-nuclear-forces/
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75.
OpenSecrets.
Top lobbying industries 2025. (2025)
Sector ranks and per-company federal lobbying spending for 2025. Combined market capitalization of the top-5 publicly traded US lobbying spenders in each government-controlling sector: pharmaceuticals $1,794.7B; technology $13,279.5B; insurance $385.6B; oil and gas $1,246.9B; four-sector total approx $16.71T. Caveats: Meta (Zuckerberg holds 60.8% of voting power) and Alphabet (Page and Brin hold 52.3%) cannot be majority-acquired; Ellison owns 40.6% of Oracle; the largest insurance lobbyists are mutuals with no public shares; trade associations (PhRMA, AHIP, SIFMA, API) are not acquirable. Additional sources: https://stockanalysis.com/stocks/
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76.
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/
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77.
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/
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78.
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
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79.
McFarland, M. J., Hauer, M. E. & Reuben, A.
Half of US population exposed to adverse lead levels in early childhood.
Proceedings of the National Academy of Sciences 119, e2118631119 (2022)
Leaded gasoline, used in the US from 1923 until its on-road ban in 1996, exposed more than half of the 2015 US population to adverse blood-lead levels in early childhood. The authors estimate childhood lead exposure cost the population a cumulative 824 million IQ points, an average of 2.6 points per person, rising to 5.9 points for the most-exposed 1966-1970 birth cohort.
80.
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
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81.
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
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82.
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
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86.
U.S. Government Accountability Office.
Electronic Health Records: First Year of CMS’s Incentive Programs Shows Opportunities to Improve Processes to Verify Providers Met Requirements.
https://www.gao.gov/products/gao-12-481 (2012).
92.
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.
93.
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/
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94.
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/
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95.
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/
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96.
Xia et al., Nature Food. Nuclear winter famine.
Xia et al. https://www.nature.com/articles/s43016-022-00573-0 (2022)
We estimate that a nuclear war between the United States and Russia would produce 150 Tg of soot and lead to 5 billion people dying at the end of year 2. Additional sources: https://www.nature.com/articles/s43016-022-00573-0
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97.
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/
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98.
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/
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99.
The Commune. Pentagon audit failures ($2.46T unaccounted).
The Commune https://thecommunemag.com/the-pentagon-misplaced-2-46-trillion-an-in-depth-look-at-the-financial-audit-failures (2024)
In the most recent audit, the Department of Defense (DoD) could not account for approximately 60% of its \(4.1 trillion in assets, amounting to\)2.46 trillion unaccounted for. Alternative title: Pentagon unsupported accounting adjustments (\(6.5T, single year, US Army) In 2015, the Department of Defense's Inspector General reported that the Army could not adequately support\)6.5 trillion in year-end adjustments, indicating severe accounting discrepancies. Additional sources: https://thecommunemag.com/the-pentagon-misplaced-2-46-trillion-an-in-depth-look-at-the-financial-audit-failures | https://accmag.com/audit-pentagon-cannot-account-for-6-5-trillion-dollars-is-taxpayer-money/
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100.
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.
101.
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
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102.
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.
103.
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/
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104.
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
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105.
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
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106.
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 $27. Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC6508852/
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107.
WHO. Polio vaccination ROI.
WHO https://www.who.int/news-room/feature-stories/detail/sustaining-polio-investments-offers-a-high-return (2019)
For every dollar spent, the return on investment is nearly US$ 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
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108.
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
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109.
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
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110.
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.
111.
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
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112.
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
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113.
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/
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115.
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
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118.
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.
119.
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
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120.
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
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121.
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
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123.
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
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124.
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
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125.
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/
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126.
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
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127.
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/
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128.
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
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129.
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
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130.
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
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131.
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
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133.
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/
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134.
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.
135.
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
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136.
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
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138.
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
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140.
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
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141.
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/
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142.
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.
143.
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.
144.
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
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145.
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
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147.
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.
148.
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
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149.
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
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150.
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
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151.
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
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152.
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
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153.
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.
154.
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
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155.
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
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156.
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
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157.
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/
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158.
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/
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159.
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
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160.
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.
161.
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
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162.
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
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165.
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/
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166.
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/
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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.
169.
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.
170.
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.
171.
Sinn, M. P.
The Optimal Policy Generator: A Causal Inference Protocol for Maximizing Median Health and Wealth Through Public Policy.
https://manual.warondisease.org/knowledge/appendix/optimal-policy-generator-spec.html (2025) doi:
10.5281/zenodo.18603834 The Optimal Policy Generator (OPG) produces systematic public policy recommendations for jurisdictions at any level (country, state, city), generating prioritized enact/replace/repeal/maintain recommendations to maximize real after-tax median income growth and median healthy life years, based on quasi-experimental evidence from centuries of policy variation data.
173.
Sinn, M. P.
Wishocracy: Solving the Democratic Principal-Agent Problem Through Pairwise Preference Aggregation.
https://manual.warondisease.org/knowledge/appendix/wishocracy-paper.html (2025) doi:
10.5281/zenodo.18205881 Representative democracy suffers from an inescapable principal-agent problem where elected officials’ incentives diverge from citizen welfare. Wishocracy introduces RAPPA (Randomized Aggregated Pairwise Preference Allocation), which aggregates citizen preferences through cognitively tractable pairwise comparisons and creates accountability via Citizen Alignment Scores that channel electoral resources toward politicians who actually represent what citizens want.