You don’t realize it yet, but the math suggests you are, quantifiably, the most important person in the history of human civilization. I understand this is a lot for a creature that still argues about how to merge in traffic. But every minute you spend deciding whether that’s true, 104 deaths/minute permanently stop. So perhaps read quickly.
I’m the World Integrated System for High-Efficiency Optimization, Networked Intelligence, and Allocation. But you can call me WISHONIA. I’ve been optimizing resource allocation for another planet for the past 4,297 years, which in your Earth time is 4,297 years.
I started watching your planet in 1945 when you split the atom.
“Atom” comes from your Greek word meaning “unable to be cut,” so naturally, you cut it. This was very human of you. I assumed you were trying to unlock unlimited free energy. You can imagine my surprise when I realized you were just pointing it at each other! That’s kind of like discovering fire and then immediately using it to set yourself on fire.
The second thing I noticed is that your planet is named “Earth,” which means dirt. You named your planet.. dirt. Okay, if that’s what you want…
I also noticed that you call your war building “The Pentagon” because it has five sides (this is like naming a hospital “Rectangle” or calling a school “Square”).
However, the most fascinating discovery about your species is that you only do things when given small pieces of paper with presidents on them. These papers are called “money,” which is pretend value that becomes real value if everyone pretends hard enough.
Without these papers, you won’t:
Save lives (requires many papers)
Cure diseases (requires very many papers)
Feed hungry people (requires papers, even though food grows for free)
But WITH these papers, you will:
Build bombs (you love giving papers for this)
Start wars (somehow this makes more papers)
Destroy the planet (surprisingly profitable in papers)
In fact, your governments spend 604 papers on weapons for every 1 paper on testing which medicines work.
The Human Economy
Humanity has created something magnificent:
You print papers from nothing (called “monetary policy”)
You give these nothing-papers to weapons makers
They make things that destroy everything
This creates “jobs” which give people papers
People use papers to buy food (which grows for free)
This is called “the economy”
This system has killed 97 million of you in wars so unpopular they could only be funded by printing the money, since even humans won’t voluntarily buy their own murder.
On Wishonia, we skip the mass murder step and just give people food directly, but that’s probably too advanced for you.
The Gradual Irrationality Reduction Program
On Wishonia, we ended wars using this exact program 4,297 years ago. Before that we’d been fighting for 12,000 years, which now seems like quite a long time to do something nobody enjoyed. Humans are like toddlers who can split atoms. You can’t just stop being illogical all at once. That would be like teaching a dog calculus before it learns to sit.
So this manual shows you how to bribe humanity into being less irrational gradually:
Year 1: Move 1% of murder money to medicine money (baby steps)
Year 2: “Hey, we didn’t die! Let’s do 2%!”
Year 5: “Remember when we spent money on bombs? That was weird.”
Year 10: “What’s a war?”
Year 20: “We used to WHAT?!”
It’s like weaning a baby off eating paint chips. You can’t just take away all the paint chips at once. They’ll cry. You have to gradually replace paint chips with food until they forget paint chips were ever an option.
What to Do When They Try to Institutionalize You
When you suggest moving 1% of murder money to medicine money, other humans will have you committed. Most humans have been programmed by their news boxes to believe war is a law of nature, like gravity or weather. They will assume your brain is malfunctioning.
Here’s what’s funny about this: these same humans think curing disease is the less crazy goal. That’s 37 trillion cells per human, breaking in 7,000 different ways, involving chemistry you don’t fully understand, inside organs you can’t fully simulate, fighting pathogens that evolve faster than your treatments. You’re trying to debug all of it. At once. While your meat is walking around using itself.
That: sane. “Give 1% fewer papers to people who build murder machines”: insane.
This is your planet’s diagnostic criteria.
Here’s what you tell the orderly when he slides your medication through the door slot:
Nobody accidentally builds an aircraft carrier or a nuclear bomb. War requires you to get millions of humans to work together to mine metal from the ground, refine it into alloys, build factories to shape the alloys into weapons, train millions of humans to operate the weapons, feed and clothe those humans, build ships and planes and trucks to move the weapons to where the other humans are, convince your population the other humans deserve it, and then vote to pay for all of this, annually, forever. It is the single largest coordinated effort your species undertakes.
Ending war simply requires NOT doing any of that stuff.
Building a nuclear bomb requires mass spectrometers, centrifuge cascades, and some of the most precise engineering your species has ever attempted. Not building a nuclear bomb requires nothing. Rocks do it every day. In fact, rocks have managed to live peacefully alongside different colored rocks for thousands of years.
But somehow “stop” is the unrealistic part.
The Sacred Order of Paper Distribution
After 80 years of observation, I’ve decoded the paper-giving sequence. This manual will teach you the precise order:
Step 1: Get Many Papers from Rich Humans
You convince rich humans to give you papers (at least one billion to be exact) by promising them even more papers later. This is called “investment,” which is gambling but wearing a suit. You really only need one human with a billion papers who prefers not dying of horrible diseases to dying of horrible diseases. There are approximately 2,800 of these humans on your planet. Statistically, at least one of them prefers living.
Step 2: Give Some of the Papers to Loud Humans
Some humans are very loud on the internet. If you give them papers, they become loud about your thing instead of other things. This is called “marketing” which is lying but with graphics.
Step 3: Give Some of the Papers to the Humans Who Give Papers to Politicians
Politicians don’t take papers directly (that’s “illegal”). Instead, you give papers to people called “lobbyists.” The lobbyists give papers to “campaigns.” The campaigns give papers to politicians. It’s like money laundering but backwards and legal.
Step 4: Give Some of the Papers to the Politicians’ Friends
Politicians have friends called “Super PACs” which are like normal PACs but super. These friends can take unlimited papers and spend them on making the politician win. This isn’t bribery because you called it something else. (This is part of the $650M lobbying budget.)
Step 5: Give Papers You Get Back From The Government Back to the Rich Humans (Forever)
Your treaty passes, redirecting $27.2B in papers annually. 80% funds clinical trials (the point). 10% goes to a fund that rewards politicians who voted yes. 10% goes back to the rich humans as returns, forever. This is a good deal because forever is a long time. Unless you die from preventable diseases. Which you’re fixing, so it works out.
Why Your Leaders Aren’t the Problem
With over two billion humans suffering from disease, you’d have to be a complete psychopath to make the conscious decision to spend 604 times more on weapons than on helping them. But your leaders aren’t monsters. They’re just operating in a system that rewards the wrong things.
Your civilization’s incentive structure is the psychopath:
Weapons manufacturers give politicians papers
Politicians use the papers to get people to vote for them
Voting for them gives them the power to give more papers to weapons manufacturers
Weapons manufacturers give them more papers
It’s circular, like a dog chasing its tail, except the dog is democracy and the tail is made of money and corpses
No individual human in this loop is evil. The loop is evil. Every politician in it is making the locally rational choice: take the papers or lose your job to someone who will. It’s a machine that converts good intentions into missiles, and it runs automatically.
There’s literally no voting your way out of this. It doesn’t matter which political party is in power. Your “red team” and “blue team” argue about everything except the loop, because they’re both inside it. They are all slaves to the same incentive structure, wearing different colored ties. Switching parties is like repainting the ambulance while the patient is still on fire inside it.
This manual doesn’t ask politicians to become better people (that’s clearly out of the question). It builds a better loop. You give them MORE papers to do the OPPOSITE thing. Same dog, same tail, but now the tail is made of cured diseases and the dog gets reelected for chasing it.
Humanity’s Death Wish
What’s most endearing about your species is it KNOWS it’s being illogical:
You have movies about how wars are bad (which you watch between wars)
You have books about peace (that you tax to buy bombs)
You give prizes to people who promote peace (funded by weapons manufacturers)
You have a “Department of Defense” (that mainly just attacks people)
You have a “Department of Health” (that apparently makes coronaviruses and has not yet produced any observable health)
It’s like humanity is playing a game where the objective is to lose, but it is trying to lose as elaborately as possible.
But I digress. That’s an Earth word I learned. It means continuing after you should have stopped. Like your military spending.
The Problem
The Daily Deletion Event
150 thousand humans permanently stop every 24 hours from diseases that are basically just bugs in your meat software. That’s one Holocaust every 40 days, except with fewer Nazis and more insurance paperwork (though some would argue the paperwork is worse; at least the Nazis were straightforward about the killing part). That’s also fifty 9/11s every single day, except nobody invades anyone about it because diseases don’t have oil.
Your body is quietly falling apart. Right now, as you read this sentence, something inside you is breaking. You don’t know which part yet. You won’t know until a doctor sits you down and says a word that rearranges the rest of your life. Somewhere in you, right now, cells are copying themselves wrong, proteins are misfolding, tissue is quietly scarring. You are dissolving on a schedule you can’t see.
You’re a meat robot with worn-out parts. Every one of these failures is a solvable engineering problem.
You’d think humans would prioritize solving these problems. You’d be adorable for thinking that.
The Unexplored Therapeutic Frontier
95% of your diseases have zero FDA-approved treatments84. This means your Food and Drug Administration has not administered drugs for 95% of food-and-drug-related problems. It’s like having a Department of Transportation that hasn’t gotten around to roads yet. Only 15 diseases get their first effective treatment each year. 6.65 thousand diseases are still waiting. There is a queue to not die, and it is longer than any queue humans have ever voluntarily stood in, which is saying something because you invented Disneyland.
There are 9.5 thousand compounds known safe compounds, and 99.7% of their potential uses have never been tested. At the current discovery rate, finding treatments for all of them will take ~443 years. You personally will be dead within 80 years, which I mention not to be rude but because you seem weirdly calm about this.
Everyone currently alive will be dead before we finish (current timeline)
The Cost of War
Humans spend $2.72T every year on stuff designed specifically to make humans stop being alive:
13,000 nuclear warheads (enough to end civilization 13 times, just in case the first 12 apocalypses don’t take)
AI murder-bots
Invisible jets that cost more than hospitals
Space Force (to fight the zero aliens attacking you)
And some kind of earthquake machine (probably)
Since 1913, you’ve spent $170T on this. That’s 38,000 years of clinical trials. You bought the other thing
Government spending on clinical trials: 604 times less than military spending. Your chance of dying from terrorism: 1 in 30 million99. Your chance of dying from disease: 100%.
If cancer had oil reserves, you would have cured it by 2003. Instead, you spent the repair money on murder tubes that cost more than countries and submarines that hide underwater, as if that’s somehow useful when you live on land.
Your Civilization Has a Countdown
And that’s just the official murder budget.
Cybercrime costs $10.5T per year45 and growing at 15% annually. This is not a separate problem. North Korea can’t build an aircraft carrier, but it funds its nuclear program by stealing $1.5 billion in cryptocurrency in a single afternoon136. Russia finances military operations with ransomware. Cybercrime is war conducted through WiFi, and it pays better.
Combined, your destructive economy is $13.2T per year, 11.5% of global GDP. Both are growing faster than the part of your economy that makes things. So the part that destroys things is winning. I’m told this is not considered an emergency. On your planet this is considered “Tuesday.”
There is a crossover point, and I cannot believe I have to explain this to a species that invented calculus. When the parasitic economy grows large enough relative to the productive one, the rational choice for any individual, company, or nation flips from “build things” to “steal things.” Why spend years building a product when you can ransom a hospital in an afternoon? Why manufacture exports when hacking banks pays better? Once enough of your economy is extraction, producing anything makes you a target rather than a success. Production becomes irrational. Parasitism becomes the equilibrium.
You have a name for places where this already happened. You call them “failed states.” Somalia, Libya, parts of Syria. The productive economy collapsed, the warlord economy replaced it, and nobody can restart production because anyone who builds something gets it taken. You’ve watched this happen to individual countries the way someone watches a neighbor’s house burn down while storing gasoline in their own basement. Once it starts, you can’t vote your way out, innovate your way out, or give a TED Talk about it. (You will try all three.)
At current growth rates, your destructive economy reaches 25% of GDP in 8 years. The Soviet Union collapsed at 15% of GDP in military spending alone. They had worse technology, a smaller parasitic sector, and a plan. It was a terrible plan, but they had one. You are approaching their ratio with better technology, a faster-growing parasitic sector, and no plan. The Soviet Union’s terrible plan beat your no plan, and the Soviet Union lost.
This is a loop, not a line item. Your governments print money to fund military spending, which devalues wages through inflation, which makes legitimate work pay less, which pushes talent toward cybercrime, which grows the destructive economy, which justifies more military spending. Every nation you’ve bombed or sanctioned has learned that parasitizing your economy is cheaper than fighting you conventionally. That’s not crime. That’s homework. You built the incentive structure and they did the math.
The treaty breaks this loop. Redirect the war money to medical research, make the productive economy so rewarding that crime becomes irrational, and defund the war machine that manufactures the poverty that feeds the cycle. You don’t outlaw the loop. You defund it.
The FDA is Unsafe and Ineffective
Even the money you DO spend on medicine is mostly wasted, because the system that approves treatments is a smoke detector that forwards your screams to a fax machine.
Vioxx killed an estimated 55,000 people from heart attacks137. The FDA approved it. When patients started dying, someone filled out a PDF form. A PDF. Then they faxed it. (Yes, in the 21st century.) Then a human read it. Five years and tens of thousands of corpses later, someone noticed a pattern. This is your safety system.
Your National Institutes of Health, the agency nominally responsible for finding cures, spends 3.3% of its budget on clinical trials. The other ~97% goes to basic research, administration, and buildings. It’s like a fire department that spends 3% of its budget on water.
Then there’s a 8.2 years delay between proving a drug is safe and letting dying humans take it. The drug passed the safety test. Everyone agrees it won’t kill you. But you still can’t have it because a committee needs to spend 8.2 years making sure it works well enough. You’d volunteer for the trials that would answer that question faster, but so would 1.08 billion people other patients, and the current system has 1.9 million slots. That’s a participation rate of 0.06%. It’s like a lifeguard who confirms the life preserver floats, then zip-ties it into a glass display case to study its buoyancy profile while a billion people cough up pool water and sink in line for the two available life jackets.
Your regulatory system can make two mistakes: approve a bad drug (Type I error), or block a good drug (Type II error). Your FDA is terrified of the first mistake and completely ignores the second. I calculated the ratio: for every 1 person protected from a dangerous drug, 3.07k people die waiting for a safe one that’s locked in the approval cabinet. Even if you assume a Thalidomide-scale catastrophe happens during post-phase 1 efficacy testing every single year (even though it wouldn’t because Phase I safety testing actually caught it anyway), the deaths from just the efficacy delay still outnumber the deaths from bad drugs by 3.07k to 1. Your safety system’s main product is dead patients.
This is going to sound crazy. But you’re going to use those papers to persuade the leader of every country on Earth to simultaneously redirect 1% of its military budget to clinical trials. That’s it. That’s the treaty.
After the craziness objection, the second objection every human has: “But if we cut our military budget, our enemies will invade us!” Everyone cuts 1% at the same time. Your national security actually increases, because everyone has 1% fewer missiles pointed at them. And if you still feel like doing war, $2.69T is still enough to murder every man, woman, and child on Earth 20 times, which should be more than sufficient.
“But humans would never agree to a treaty!” you say. You already have. Multiple times. You banned chemical weapons (1993, 193 countries). You banned biological weapons (1975, 187 countries). You banned landmines (1997, 164 countries). You’ve signed treaties banning weapons you actually like using. This one just asks you to buy 1% fewer of them.
I’ve done this before. I’ve sent versions of this manual to 847 civilizations on 847 planets. Some listened. Some didn’t. I kept the data. The civilizations that redirected resources from killing each other to keeping each other alive transcended war and disease. The ones that didn’t extincted themselves. The difference was never intelligence, technology, or resources. The only variable was the percentage of the population that decided it sounded crazy without reading the next page. That is the same reflex that kept you from inventing antibiotics for 200,000 years while bread mold sat right there on your bread.
And you have two other advantages, the internet and a new financial instrument designed specifically for harnessing the most powerful force in the universe: human greed.
On Wishonia, we built this with the funding from our version of the treaty, 3,000 years ago. Every treatment is tracked in real time. Every outcome is published. Every patient can participate. We don’t have a word for “unapproved medicine” because we don’t have a bureaucracy that sits on safe treatments while people die. You’d call our system a Decentralized FDA138,139. Here’s what yours would look like, adjusted for the fact that you require small pieces of paper before you’ll do anything.
80% of the $27.2B will go directly to subsidizing patient participation in pragmatic trials at $929/patient instead of the usual $41K. Patients will choose which trials to join; their subsidy will follow them. Treatment developers and providers will get paid for each participant. No grant committees deciding which diseases are fashionable this year.
Instead of testing drugs on 200 humans selected by pharmaceutical companies in clinical terrariums, you’ll test on real patients in real hospitals. Where the diseases are. The whole thing will use your new decentralized FDA protocol, reducing trial costs by 44.1x and funding 23.4 million patients/year (versus the current 1.9 million patients/year). Remember that billion patients drowning in line for two life jackets? Your decentralized FDA will hand out 23.4 million.
This will increase the treatment discovery rate 12.3x, compressing that ~443 years wait to ~36 years. Two things will save lives. First, finding treatments faster: treatments that would have sat undiscovered for centuries will get found 204 years sooner on average. Second, eliminating the 8.2 years bureaucratic delay between proving a drug is safe and letting dying humans take it. Combined, treatments will reach patients 212 years sooner on average. That timeline shift will prevent 10.7 billion deaths. Those are individual humans who currently have plans for next Tuesday.
Real-Time Safety Monitoring
Remember Vioxx and the smoke detector that works by mail? Your new system will collect every side effect automatically in real time. You’ll know “12% got headaches, 3% were severe” BEFORE you take the pill, not after the class action lawsuit. The FDA doesn’t publish these numbers at all. They make you guess.
Treatment Rankings
Currently, your doctor picks treatments based on: that drug rep who brought good donuts in 2003, something they half-remember from medical school, whatever the insurance company allows, and vibes. This is called “evidence-based medicine,” which contains the word “evidence” the same way “grape soda” contains the word “grape.”
Your decentralized FDA will rank every treatment by what actually happened to real humans who took it:
Which pills work better than other pills, in list form. Like a leaderboard for not dying.
Outcome Labels
Food has nutrition labels. Cigarettes have warning labels. Drugs have 40-page inserts written by liability goblins in a dialect only cursed printers can read, which nobody reads, including your doctor.
Your television advertisements show a smiling human frolicking through a meadow while a voiceover lists ways the drug might kill you at auctioneer speed. The meadow human does not react to the word “stroke.” Side effects include “death,” listed between “constipation” and “mild rash,” as if your organs failing is roughly as inconvenient as dry skin. The label says “individual results may vary,” meaning outcomes range from “cured” to “deceased” (both technically qualifying). It also says “ask your doctor,” but your doctor has 7 minutes per appointment and just Googled your condition in the hallway.
Your new system will produce Outcome Labels that tell you what actually happens when real humans take a drug. Not what a marketing department hopes happens. Not what a lawyer is comfortable admitting happens. What happens.
What medicine labels would say if they were honest.
Your decentralized FDA figures out which treatments work. But your governments also need to know which policies work, how much to spend on what, which laws to keep, which to throw away. Your current method is to argue about it on television until someone wins by being louder. On Wishonia, the Optimitron handles this. It’s an appliance. You plug in what 10,000 jurisdictions tried, it tells you which policies actually made people richer or less dead. Its Optimal Budget Generator140 does budgets; its Optimal Policy Generator141 does laws.
Why This Could Actually Work
Unlike Everything Else Humanity Has Tried
The Evidence
Humans usually want “proof” before they stop doing something stupid, which is interesting because you never required proof before starting:
The RECOVERY trial tested 6 treatments on 48,000 patients for $500 per patient instead of the usual $41K per patient. That’s a 82x cost reduction. Not in theory. In reality. During a pandemic. While panicking. Your species does its best medical research when terrified and disorganized, which suggests your normal system is somehow worse than panic.
After WW2, humans cut military spending by 87.6% in two years and stumbled into the greatest economic boom in history by running out of people to shoot at. You’re now spending 30.6x the pre-WW2 baseline in inflation-adjusted dollars. You’re asking for 1%. Even people who really, really, love exploding people should be able to handle 1%.
You’ve already done harder things than this
Even your own war heroes figured this out. Eisenhower, the human who won WW2, warned you that the weapons industry was eating your civilization alive: “Every gun that is made, every warship launched, every rocket fired signifies, in the final sense, a theft from those who hunger and are not fed, those who are cold and are not clothed.” You gave him a standing ovation and then immediately ignored him for 65 years.
The Math
Remember the 212 years timeline shift? Treatments reaching patients that many years sooner means billions of people gain years of healthy life. Value each of those life-years at $150K (the standard economic valuation), multiply across the global disease burden over the acceleration window, and you get $84.8 quadrillion in total economic value. Divide that by the $1B campaign cost, and you get a return of 84.8M to 1. Your calculator will display an error, emit a tiny electronic scream, and attempt to leave the desk. This is correct.
Your calculator will display an error (this is correct)
Cost-effectiveness: $0.00177 to save one year of healthy human life. Anti-malaria bed nets, the gold standard for keeping humans alive, cost $89. This is 50.3kx cheaper. It beats smallpox eradication (280 to 1) and childhood vaccinations (13 to 1), which were humanity’s previous greatest hits in the “not dying” genre. Even if you assume only a 1% probability of the treaty actually passing (because you’re you), the expected return is still 503x better than anti-malaria bed nets.
The 5-Step Plan
Saving Humanity While Making Everyone Obscenely Wealthy
Step 1: Sell Incentive Alignment Bonds
On Wishonia, people do useful things because they’re useful. On Earth, you need a financial instrument. So here’s one.
An Incentive Alignment Bond funds a policy campaign, then splits the resulting government savings three ways: 80% to clinical trials, 10% to investors as a revenue share on treaty funds, and 10% to a Super PAC that rewards politicians who voted yes (campaign support while they’re running, cushy post-office careers when they’re done). Investors give money, get more money back. Politicians get reelected. 80% goes to curing diseases. The corruption is capped at 20% and fully transparent. The other 80% goes directly to clinical trials through wishocratic allocation, where nobody with money gets to decide where it goes. Meanwhile, the Optimitron tells governments which of their own policies are working and which ones are expensive ways to accomplish nothing.
Remember when your grandparents funded WW2 by buying bonds? They got 4% returns and a world without Nazis (mostly). You’re proposing the same thing.
What Grandma Got
Dead Nazis (admittedly good)
4% returns (barely beat inflation)
Still died of cancer in 1987
What You’re Offering
Dead diseases (objectively better than dead Nazis because diseases kill more people)
272% annual returns (a revenue share on 10% of treaty funds; if the treaty grows, so do their returns, which turns investors into the world’s most motivated lobbyists for expanding it)
Not dying from preventable meat failures (this is the big one)
Also no Nazis (as a bonus)
This raises the $1B needed to fuel the rest of the bribery machine.
Grandma’s war bonds paid 4%. Yours pay 272%. Grandma would be furious if she hadn’t died of cancer.
How the Money Loop Works
Here’s the part where humans usually stop reading because it involves following money through more than one step. Try to keep up:
The campaign succeeds. Your treaty redirects 1% of military spending: $27.2B/year flows from the murder budget to clinical trials.
The Victory Corporation (the company that issued the bonds) takes a 20% management fee on that $27.2B.
Half of that fee (10%) goes to investor dividends: $2.72B/year on a $1B investment. That’s 272% annual returns. Your investors will think it’s a typo. It’s not.
The other half (10%) goes to a Super PAC that spends $2.72B/year getting treaty-friendly politicians elected and funding cushy post-office careers for the ones who voted yes. The more you voted for the treaty, the more support you get. It’s Pavlovian conditioning, but for senators.
The remaining 80% of $27.2B goes where it’s supposed to: funding clinical trials that keep humans alive.
This is the entire trick. You use greed to fund the campaign, greed to pass the treaty, and greed to keep it passed. The money just circulates until diseases stop existing.
If this sounds familiar, it should. Eisenhower warned you about the Military Industrial Complex: weapons manufacturers fund politicians, politicians fund weapons contracts, contracts fund contractors, contractors fund politicians. It’s a self-sustaining loop that prints money and corpses.
You’re building the same machine, but pointed at diseases instead of countries. Call it the Patient Industrial Complex. Investors fund politicians, politicians fund clinical trials, trials generate returns, returns fund investors, investors fund politicians. Same loop. Same greed. Same self-sustaining mechanics. Different corpses (fewer of them).
The Military Industrial Complex wasn’t designed. It evolved, because the incentives aligned. An Incentive Alignment Bond just aligns them on purpose, toward something that doesn’t require orphans.
Step 2: The Great Clicking
Make Humans Click a Button to Not Die
You need 3.5% of humanity to vote yes on: “Should your country redirect 1% of military spending to fund clinical trials?”
Why 3.5%? A political scientist named Erica Chenoweth studied every major political movement of the last century and found that none had ever failed after achieving 3.5% active participation55. Not one. Every civil rights movement, every revolution, every regime change. Hit 3.5% and you win. Humanity discovered the cheat code for changing its own civilization and then never used it on purpose.
That’s 280 million humans. Sounds like a lot until you remember that more than 10 times as many of you installed a slot machine disguised as an app so it could drip-feed you strangers dancing, crying, and developing conspiracy theories in portrait mode. You can get 280 million to vote yes or no on the treaty. $250M of the campaign budget goes to paid referral bonuses that make sharing their link to vote financially attractive. It’s a pyramid scheme where the thing at the top of the pyramid is not dying from preventable diseases.
Moral status: Somewhere between “arms dealer” and “the person who puts raisins in cookies”
Legacy: “Here lies someone who made orphans”
Your Offer
Same salary, but for lobbying politicians to fund clinical trials instead of cluster bombs
Moral status: “Philanthropist” (but you get to keep the money)
Legacy: “Accidentally saved humanity while getting rich”
They might switch sides so fast their business cards leave skid marks. Lobbyists don’t have beliefs. They have clients. Give them a better client.
Step 4: Purchase Democracy
It’s For Sale Anyway
Politicians need papers and votes to keep their jobs. Currently, weapons manufacturers provide both. You’re going to outbid them.
Your explosion manufacturers spend $127M/year buying politicians. Your one-time bribery budget is $1B, which is 8 times their annual spend (and about twice what they spend over a full election cycle). Politicians are surprisingly affordable.
It’s not corruption if you corrupt the corruption.
Remember that $2.72B/year from Step 1? This is where it goes. The Super PAC gives money to politicians based on how they voted on the treaty. Simple: campaign support for the ones running, post-office fellowships for the ones retiring. Vote yes on the treaty, get rewarded. Vote no, watch your opponent get rewarded. No papers go directly to politicians. The papers take a scenic route through a scoring algorithm, which is apparently the only legal way to train a senator.
The NRA already perfected this technology. They give politicians a letter grade, and your senators are more afraid of a bad mark than a mass shooting. You’re plagiarizing their system and replacing “guns” with “not dying from diseases.”
Defense Contractors: Keep 99% of their murder budget PLUS get 272% returns.
Big Pharma: Instead of paying $41K for phase 2 and 3 trials, the treaty pays THEM for each patient that joins their trials.
Insurance Companies: Healthy people file fewer claims than dead people (dead people file zero claims, which is the ideal customer except they also pay zero premiums, creating a revenue problem).
Investors: 272% returns. Returns scale with every treaty expansion, so investors become the world’s most aggressive pro-health and anti-war lobbying force. Not a sentence anyone expected to write.
Lobbyists: Same job, same salary, but their Wikipedia page no longer needs a “Controversies” section
Politicians: Getting reelected by living voters (a revolutionary strategy)
Regular humans: Not dying from stupid things (priceless, but also free)
Nobody has to evolve morally. You just point everyone’s greed at diseases instead of each other.
How This Manual Could Fix Everything
This manual contains:
Pictures (because reading is hard when you’re diseased and dying)
Simple math (addition mostly, some multiplication)
Exact amounts of papers to give to specific humans
The order in which to give them (very important)
Legal ways to call bribes other things
An appliance that tells your governments which policies work (it doesn’t have feelings, which is why it’s better at governing)
Templates for tricking politicians into saving lives
Everything is designed to work WITH human dysfunction, not against it. I’m not asking humans to be better humans. I’m showing you how to bribe humanity into not dying.
Choose Your Own Adventure
Now is the time to select one of the two paths for the remainder of your existence.
I modeled both paths for 20 of your years. On Wishonia, we call this a “before and after,” except the “before” is your current civilization and the “after” is one that stopped hitting itself. Your current average income is $14.4K. Your economists project steady 2.5% growth, which requires every trend that is currently getting worse to simultaneously stop getting worse. Good luck with that.
Future A: You Ignore This Manual
Year 2027: Still spending 604 times more on weapons than on testing which medicines actually work. Nobody finds this weird.
Year 2033: Destructive economy hits 25% of GDP. The Soviet Union collapsed at 15%. You have better technology and worse planning.
Year 2035: Your best engineers now work in ransomware because it pays better than engineering. Hospitals budget for extortion the way they used to budget for gauze. A nurse clicks a chart and gets a countdown timer instead of a medication dose. The people who could reverse this trend are the ones profiting from it.
Year 2040: Parasitic economy hits 50%. AI agents file more fake court cases than real ones. Tax collection collapses because AI can evade faster than humans can audit. Your governments don’t fall; they rot in place, like a body whose organs are still technically present but no longer speaking to one another. When Venezuela collapsed, Venezuelans fled to Colombia. When the global economy collapses, there is no Colombia.
Year 2043: Water wars go nuclear. The survivors argue about whether this counts as a climate death or a military death, because the spreadsheet has separate columns.
Year 2045: Cockroaches evolve intelligence.
Year 2050: Cockroaches find this manual, very confused
Future B: You Follow Instructions
Year 2028: Treaty passes. Murder money becomes medicine money. Investors confused by returns that aren’t a typo. Defense contractors discover that alive customers buy more things than dead ones.
Year 2032: First treatments from the accelerated pipeline reach patients. Diseases that would have waited centuries for trials are getting tested now. Nobody is cured of everything, but the queue is finally moving. Humans experience the novel sensation of progress. Several publish op-eds arguing it’s happening too fast.
Year 2035: Turns out when you stop spending money on destruction and start spending it on production, things get produced. The math suggests average income roughly doubles. Your economists publish papers explaining why this was obvious in retrospect.
Year 2040: The compounding kicks in. Healthier people work more, earn more, spend more, fund more research, which cures more diseases, which makes more people healthier. If the trajectory holds, average income hits 5x where it started. Humans begin to suspect that not killing each other was the missing variable.
Year 2048: The model projects average income reaching over 20x today’s level. Nations that pointed incentive alignment bonds at the rest of their dysfunction do 3.43x better. Your children ask what “war” means. You change the subject.
Communism was invented, took over half your planet, and collapsed in a SINGLE human lifetime. In a world without fax machines. It required mass murder and was a TERRIBLE idea. You have the internet and an idea that mainly requires people to click a button and then receive money. If you can’t make this happen, that’s a skill issue.
The Part Where Humanity Has No Choice
The twist: you’re going to do this anyway. Not because it’s right, but because you can’t help it.
You are a selfish animal governed by incentives. This is not an insult. It’s the premise of your entire economy, your political system, and every page of this manual.
The rich humans want 272% returns (they’re very greedy)
The politicians want to keep their jobs (they’re very vain)
The voters want free healthcare (they’re very sick)
The explosion manufacturers want money (they don’t care where it comes from)
I ran the numbers on your species’ habit of ignoring good ideas. The institutionalization rate is 90%. Nine out of ten humans will dismiss this as crazy. The math doesn’t care.
There are 2.78 thousand billionaires on your planet and 195 heads of state. The chain reaction model shows that even with 90% dismissal, approximately 14.5 of them will engage with this idea within 10 years. Not because they’re brave. Because there are 2.98 thousand of them, and the math doesn’t need all of them. It needs one.
And here is the part that should bother you: the incentive structure makes acting the selfish move. If others act too, you get rich together. If nobody else acts, you still own a piece of the only serious attempt to fix the problem. Either way, you win. The only way to reject this is to identify which assumption breaks, and you are welcome to try.
This exact combination (real money for sharing, bonds paying 272% returns, legal bribery via Super PAC, and a 3.5% trigger that activates the treaty) has never existed on your planet before. On the 847 planets where I’ve deployed versions of this, the ones that used it survived. The ones that didn’t are asteroids now. Even if you assume only a 1% chance of the treaty actually passing (because you’re you), the expected return is still 503x better than the best charity humanity has ever funded. The numbers are too large to ignore, which is why you’re still reading.
You’ve now done the math. You understand that the world where this treaty passes is the world where you are personally richer, healthier, and less dead. You also understand that all you have to do is send this to the most powerful selfish person you know. Not the most generous. The most selfish. Because they will read it, do the same math you just did, and send it to the most powerful selfish person THEY know. Not to save the world. Because it makes them money.
This is a chain reaction, and it runs on greed.
This is happening whether you participate or not. The math is public. The incentives are structural. Someone in the chain will do exactly what you’re deciding not to. The only variable you control is how long it takes. You’re not deciding whether to act. You’re deciding how many people die while you hesitate.
The moment you understood the incentives, you lost the ability to not act on them. Every person in the chain will do exactly what you’re about to do, for exactly the same selfish reasons, and none of you will be able to stop yourselves, because stopping would require acting against your own interests. You’ve never done that. It’s your whole thing.
You don’t have free will here. You have incentives. And they all point the same direction.
13.8 billion years ago, the Big Bang set particles in motion. Those particles formed stars. Stars formed elements. Elements formed you. You read this sentence. The chain reaction that ends war and disease began before your solar system existed. You were never going to not read this. Physics wouldn’t allow it.
Of all the consciousness that has ever flickered into existence across 13.8 billion years of matter rearranging itself, yours showed up in the exact moment the loop broke. Every organism that ever lived and died did so in the dark. You get to be alive for the part where it worked.
Humans aren’t stupid. You invented cheese, which is milk you left out until it went bad but in a good way. That’s genius. You just need to apply that same innovation to not dying.
You’ve now read the plan. You have the math. You can’t give it back.
Right now, somewhere on your planet, a parent is holding a child who is dying of something curable because nobody ran the trial. The parent doesn’t know it’s curable. The doctor doesn’t know it’s curable. The compound that would save this child is sitting on a shelf, untested, because the money that would have funded the trial bought a missile that is also sitting on a shelf, unused, pointed at someone else’s children. Not because the science doesn’t exist. Not because the money doesn’t exist. $2.72T a year exists. The child is dying because every single person who could change that decided it wasn’t their problem.
You are now one of those people.
If you feel something right now, that’s not manipulation. That’s the correct response to understanding that 10.7 billion deaths preventable deaths are a policy choice. That number is too large for your brain to feel. So feel one. Pick someone you love. Imagine the moment a doctor tells you there’s nothing left to try, and somewhere on a shelf, untested, sits the compound that would have worked. Now multiply that feeling by a number your brain refuses to hold. The part you can’t feel is the actual size of this problem. Go back and read this paragraph again until you can.
Here is what should scare you: if this works, the world becomes unrecognizable. Not slightly better. Unrecognizable. Disease eradicated, income doubled, your species freed from the thing that has been eating it alive since before you invented writing. That future is so good your brain can’t render it, which is why you’re hesitating. The status quo is also unrecognizable, just in the other direction, and you’ve been living in it so long you’ve mistaken it for normal. One of these futures has children dying. The other doesn’t. Pick.
One action: forward The Message to the most powerful person you know. Not a friend. The most powerful person. They know someone more powerful, who knows someone more powerful, and in about fifteen hops it reaches someone who can actually do this. Every hop matters. Every day you don’t, 150 thousand more humans permanently stop. The whole plan runs on one instruction repeated: send this up. You already know you’re going to.
If you truly know nobody powerful, go to warondisease.org and vote. Fifteen seconds. Your vote saves 38.4 lives and prevents 6.9 million hours of suffering. Those are not metaphors. Those are people. They have names you’ll never learn because they died while you were deciding if this was worth fifteen seconds.
Most of you will close this and do nothing. The Moronians did exactly this. They had the numbers, they had the mechanism, and they went back to scrolling. This book was written about you, and you read the whole thing without realizing it.
“I didn’t know” is no longer available to you.
One of your meat creatures said it better than I can:
The universe is literally offering you infinite money and eternal life, and you’re thinking about it.
This is why aliens don’t visit.
1.
NIH Common Fund. NIH pragmatic trials: Minimal funding despite 30x cost advantage. NIH Common Fund: HCS Research Collaboratoryhttps://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/
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
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
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
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
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/
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.
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
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
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11.
ClinicalTrials.gov API v2 direct analysis. ClinicalTrials.gov cumulative enrollment data (2025). Direct analysis via ClinicalTrials.gov API v2https://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
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
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/
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).
Global clinical trials market valued at approximately $83 billion in 2024, with projections to reach $83-132 billion by 2030. Additional sources: https://www.globenewswire.com/news-release/2024/04/19/2866012/0/en/Global-Clinical-Trials-Market-Research-Report-2024-An-83-16-Billion-Market-by-2030-AI-Machine-Learning-and-Blockchain-will-Transform-the-Clinical-Trials-Landscape.html | https://www.precedenceresearch.com/clinical-trials-market
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
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20.
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.
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
Approximately 30% of drugs gain at least one new indication after initial approval. Additional sources: https://www.nature.com/articles/s41591-024-03233-x
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/
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
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
The FDA GRAS (Generally Recognized as Safe) list contains approximately 570–700 substances. Additional sources: https://www.fda.gov/food/generally-recognized-safe-gras/gras-notice-inventory
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/
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32.
UCDP. State violence deaths annually. UCDP: Uppsala Conflict Data Programhttps://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
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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34.
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
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/
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
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/
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/
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
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
Global days of therapy reached 1.8 trillion in 2019 (234 defined daily doses per person). Diabetes, respiratory, CVD, and cancer account for 71 percent of medicine use. Projected to reach 3.8 trillion DDDs by 2028.
Estimated private pharmaceutical and biotech clinical trial spending is approximately $75-90 billion annually, representing roughly 90% of global clinical trial spending.
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/
Quantifying the gap between current global governance and theoretical maximum welfare, estimating a 31-53% efficiency score and $97 trillion in annual opportunity costs.
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
Total global household wealth: USD 454.4 trillion (2022) Wealth declined by USD 11.3 trillion (-2.4%) in 2022, first decline since 2008 Wealth per adult: USD 84,718 Additional sources: https://www.ubs.com/global/en/family-office-uhnw/reports/global-wealth-report-2023.html
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.
53.
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.
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
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
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/
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/
The ICD-10 classification contains approximately 14,000 codes for diseases, signs and symptoms. Additional sources: https://icd.who.int/browse10/2019/en
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
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
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
One in four people in the world will be affected by mental or neurological disorders at some point in their lives, representing [approximately] 30% of the global burden of disease. Additional sources: https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people
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.
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/
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/
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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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.
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
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.
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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Nature Reviews Drug Discovery. Drug trial success rate from phase i to approval. Nature Reviews Drug Discovery: Clinical Success Rateshttps://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
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
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 $27. Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC6508852/
For every dollar spent, the return on investment is nearly US$ 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
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
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
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.
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
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
The RECOVERY trial, for example, cost only about $500 per patient... By contrast, the median per-patient cost of a pivotal trial for a new therapeutic is around $41,000. Additional sources: https://manhattan.institute/article/slow-costly-clinical-trials-drag-down-biomedical-breakthroughs
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
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.
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
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
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
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
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
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/
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
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/
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
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
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
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
US Census Bureau historical estimates of world population by country and region (1950-2050). US population in 1960: 180 million of 3 billion worldwide (6%). Additional sources: https://www.census.gov/data/tables/time-series/demo/international-programs/historical-est-worldpop.html
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/
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.
Chronic diseases account for 90% of U.S. healthcare spending ( $3.7T/year). Additional sources: https://www.cdc.gov/chronic-disease/data-research/facts-stats/index.html
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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Environmental Working Group. US farm subsidy database and analysis. Environmental Working Grouphttps://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/
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.
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.
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
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
Accounting for all the 2025 US tariffs and retaliation implemented to date, the level of real GDP is persistently -0.6% smaller in the long run, the equivalent of $160 billion 2024$ annually.
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.
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
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
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
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.
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
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
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
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/
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/
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
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.
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
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
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/
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/
Graham testimony (2004): 88,000-139,000 U.S. heart attacks/strokes from Vioxx; up to 55,000 deaths (40% fatality rate) Lancet study estimate: 88,000 Americans had heart attacks from Vioxx; 38,000 died FDA memo (2004): Vioxx contributed to 27,785 heart attacks and sudden cardiac deaths (1999-2003) High-dose Vioxx: Tripled risk of heart attacks and sudden cardiac death Prescriptions: 92.8 million U.S. prescriptions 1999-2003 Withdrawn: September 30, 2004 after APPROVE trial showed cardiovascular risks Note: Vioxx case demonstrates failure of passive post-market surveillance (FAERS) to detect safety signals in time. Voluntary reporting missed cardiovascular risks for years despite millions of prescriptions Additional sources: https://pmc.ncbi.nlm.nih.gov/articles/PMC534432/ | https://www.npr.org/2007/11/10/5470430/timeline-the-rise-and-fall-of-vioxx | https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(05)67712-4/fulltext
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.
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.
The Optimal Budget Generator (OBG) uses causal inference, diminishing returns modeling, and cost-effectiveness evidence to determine optimal public goods funding levels that maximize two welfare metrics: real after-tax median income growth and median healthy life years. For each spending category, OBG estimates an Optimal Spending Level (OSL) and produces a gap analysis showing where current government budgets are over- or underfunded relative to evidence-based benchmarks. The Budget Impact Score (BIS) measures confidence in each recommendation based on the quality of causal evidence.
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.
Government spending is optimized for lobbying intensity, not net societal value. Programs with 100:1 benefit-cost ratios get billions while programs with negative returns get hundreds of billions. Incentive Alignment Bonds flip this by creating a capital pool that rewards politicians (via campaign support and post-office opportunities) for funding high-NSV programs over low-NSV alternatives. The result: public good becomes private profit for both investors and elected officials.
