Bound Outcomes

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I want to talk about a pattern that, once you see it, you can't unsee. It is the most important single idea in policy design, and almost no one is using it deliberately.

The pattern is this: bind the outcomes of decision-makers to the outcomes of the people their decisions affect, by mathematical formula, with no opt-out.

Not voluntary alignment. Not virtue signaling. Not aspirational language in mission statements. A formula. Written into law. Auditable. Self-enforcing. The decision-maker's own outcome — their pay, their tax rate, their company's market cap ceiling, their procurement eligibility — is algorithmically tied to a measured outcome in the population they affect. If the population's outcome improves, the decision-maker benefits. If it worsens, they pay.

I'll call this bound outcomes, in deliberate contrast to two adjacent ideas it improves on:

• Skin in the game (Taleb): voluntary, ethical, depends on the goodwill of the participant.
• Bound interests: a reasonable name but it suggests intent-coupling, which I want to reject.

Bound outcomes is mathematical, mandatory, and entirely outcome-focused. The decision-maker's intent is irrelevant. Whether they "care" is irrelevant. The formula does the binding. The math does the politics.

I am going to argue that this is the single most powerful tool we have for restructuring American policy — far more powerful than moral persuasion, more powerful than direct legislation, more powerful than markets-with-externalities, more powerful than judicial enforcement. And I am going to argue that without it, the steady decoupling of elite outcomes from working-poor outcomes leads to exactly one place: a populist movement willing to break the asset structure of the country to force the alignment that policy refused to design.

We have seen this movie. France in 1789. Russia in 1917. Germany in 1933. The mechanism is always the same: structural decoupling continues until the bottom has nothing to lose, and then they take it.

Bound outcomes is the alternative. Here is what it looks like.

Why Intent-Space Policy Always Loses

Most American policy is written in intent-space. We intend to create jobs. We intend to reduce inequality. We intend to improve healthcare access. We intend to protect consumers. The intent gets enshrined in legislation. The legislation gets implemented by agencies. The agencies get captured by the regulated parties. The intent persists as ceremonial language in annual reports while the actual outcomes drift in whatever direction the captured implementation produces.

Look at the data on stated-intent vs. measured-outcome over the last fifty years.

• We intended corporate tax cuts to create jobs and raise wages. They created stock buybacks and executive comp inflation while wages stagnated.
• We intended deregulation to increase competition. It produced consolidation in nearly every industry from airlines to banks to media to tech.
• We intended the 401(k) to democratize retirement saving. It created the largest concentration of forced-buyer flow in market history, locking the middle class into a structural dependence on mega-cap concentration.
• We intended No Child Left Behind to improve K-12 outcomes. It produced widespread teaching to the test and minimal change in actual literacy or numeracy.
• We intended the Affordable Care Act to expand coverage. Coverage did expand modestly, but US life expectancy began declining shortly afterward and the cost curve was barely bent.
• We intended the Dodd-Frank reforms to prevent another financial crisis. Bank concentration is higher today than before 2008.

In every case, the intent was sincere. In every case, the outcome diverged. The pattern is not "policymakers are stupid." The pattern is that intent-space policy creates a specification that the regulated parties can satisfy without producing the outcome the policy was meant to achieve. The spec gets met. The outcome doesn't.

Outcome-space policy can't be gamed the same way. If your tax rate is tied to American life expectancy, you cannot lobby your way to a lower tax rate by satisfying paperwork. You actually have to make Americans live longer. You can fight that obligation, but you can't disguise the absence of progress.

The Mechanism — Skin In The Formula

The technical name for the binding is skin in the formula. It is what makes bound outcomes self-enforcing.

A skin-in-the-formula policy has four properties:

1. A measurable outcome in the population you want to protect.
2. A measurable lever controlled by the decision-maker class you want to bind.
3. A formula that ties the two together automatically.
4. No discretionary override. Congress can change the formula by law, but no agency, court, or regulator can interpret it away.

The last property is the one that makes it work. Most attempts at outcome-coupled policy fail because they leave too much to discretion. "The agency shall consider the impact on..." is a clause that gets ignored. "The corporate tax rate shall equal..." is a clause that gets enforced.

You can find this pattern scattered through history without ever being named:

• Mondragón Cooperative (Basque, since 1956) caps executive compensation at a small multiple of the lowest-paid worker. CEO outcome bound to floor-worker outcome. The cooperative has thrived for seventy years and produces some of the most loyal workers in Europe.
• Spartan kings ate at common mess halls with their soldiers. Their personal experience was bound to the troops they sent into battle.
• Plato's Guardians were forbidden from owning private property because they decided about war and resources for those who did. Their consumption was bound to the commons.
• Glass-Steagall-era American banking required senior partners to have unlimited personal liability for the bank's losses. Their wealth was bound to the bank's solvency.
• Norway's Sovereign Wealth Fund distributes oil revenue to all citizens precisely so politicians cannot spend it on themselves. Government outcome bound to citizen outcome.
• Singapore's ministers ride the MRT. Cultural rather than legal, but the principle is the same: the people setting transit policy use the transit they set.

Every one of these is a partial application of bound outcomes. None has been deliberately designed as the central tool of a policy program. That is what I want to propose.

The Worked Example — Corporate Tax Tied To American Life Expectancy

Take one specific application that captures the full power of the mechanism.

The proposal: The federal corporate tax rate is set by formula:

Federal Corporate Tax Rate = 21% baseline + (OECD median life expectancy − US life expectancy) × 4 percentage points per year of gap.

That's it. No exemptions. No carve-outs. No discretionary interpretation. The IRS publishes the rate annually based on the most recent CDC and OECD data.

What happens at today's numbers:

• US life expectancy: ~77.5 years.
• OECD median: ~83 years.
• Gap: 5.5 years.
• Tax rate: 21% + (5.5 × 4) = 43%.

That is a punishing tax rate. Mega-caps will absolutely care. They will care every quarter. Their lobbyists will bring it up in every meeting. Their boards will discuss it at every retreat.

What happens to mega-cap behavior:

• Apple suddenly has a direct multi-billion-dollar annual financial stake in any policy that closes the life expectancy gap.
• Microsoft funds opioid treatment programs because every overdose death is mathematically expensive to its tax bill.
• JPMorgan lobbies for universal background checks on firearms because firearm deaths are part of the life expectancy gap.
• Amazon's healthcare division stops being a side project and becomes a strategic priority because reducing chronic disease moves the needle on the company's tax rate.
• The Business Roundtable issues a position paper supporting universal healthcare. The Chamber of Commerce splits between the small-cap members (who hate the cost) and the mega-cap members (who want the gap closed).

Within five years, US life expectancy is rising faster than at any point since the 1950s. Why? Because the country's most powerful economic actors all suddenly have skin in the formula.

Note what is not happening:

• No one is being shamed into caring.
• No one is being morally persuaded.
• No bureaucracy is judging "good faith" efforts.
• No agency is interpreting the rule.
• The formula is doing the work.

Note also what is happening:

• The mega-caps still get to be mega-caps. They are not punished for being big.
• Life expectancy improves, which improves productivity, which improves their underlying business.
• The eventual tax-rate decline (as the gap closes) creates a virtuous loop: better outcomes → lower tax rate → more capital to invest → more good outcomes.
• Republicans who depend on mega-cap donors find themselves accidentally supporting healthcare reform. Democrats who depend on labor find their priorities backed by the most powerful corporations in the country. The traditional left-right axis on healthcare scrambles.

The Application Surface

The healthcare example is just one. The pattern generalizes.

Housing affordability:

Mega-cap effective tax rate = baseline + (median local rent ÷ median local income − 25%) × 100 basis points per percentage point above 25%.

Translation: if the cities your headquarters and offices are in have rent-to-income ratios above 25%, your tax rate goes up. Today's coastal metros are at 35-50%. The ratio is set by zoning and housing supply. Mega-caps suddenly fund YIMBY ballot initiatives, lobby for upzoning, and make corporate housing investments because their tax rate depends on it.

Climate:

Carbon-intensive industry tax surcharge = baseline × (atmospheric CO2 ppm − 350) × adjustment factor.

Translation: every ppm above pre-industrial levels increases the tax surcharge for energy, cement, steel, and similar industries. Currently we are at ~422 ppm and rising. Mega-cap energy companies suddenly fund decarbonization at scale because their tax bill depends on the trajectory.

Education:

Federal procurement preferences (Pentagon, GSA, NIH, etc.) are weighted by the literacy and numeracy scores of the state where the contractor is headquartered. States with weaker outcomes receive lower contract awards.

Translation: Lockheed in Texas, Raytheon in Massachusetts, Boeing in Washington — all suddenly have direct financial incentive to fund K-12 reading programs in their headquarters states. Defense contractors become education advocates. Why? Because their next contract depends on it.

Pharma:

Drug patent term = 20 years − (drug price percentile within its therapeutic class − 50th) × 6 months per percentile.

Translation: charge a price in the 90th percentile and your patent term drops by 24 years (it goes to zero). Charge median or below and you get the full 20-year term. Pharma stops monopoly-pricing because their patent monopoly itself depends on competitive pricing.

Banking:

Bank capital requirements are indexed inversely to the bottom-quintile household wealth share. If the bottom 20% loses share, capital requirements rise.

Translation: when wealth concentrates upward, banks have to hold more capital, which constrains lending and raises rates. Banks become structurally interested in bottom-quintile wealth-building because their own profitability depends on it.

Defense:

Pentagon procurement budget is gated on veteran health outcomes. Suicide rates, homelessness rates, and clinical care wait times each have target floors. Failure to meet a target reduces the next year's discretionary procurement budget by a defined percentage.

Translation: Lockheed and Raytheon become advocates for the VA's adequate funding because their next contract depends on the VA's outcomes.

This is mechanism design as applied policy. Every application creates an alignment that previously did not exist.

The Bound Outcomes Roulette

Here is the part that became fun once I started working through examples with a friend. Once you see the pattern, you can almost generate policy proposals at random by pairing any elite outcome with any working-poor outcome.

I am going to list twenty pairings. Some are serious. Some are absurd. Some are clearly brilliant. Some are clearly broken. The point of listing them is not that all twenty should be implemented — the point is that this is a generative discipline. Mechanism design produces an essentially unlimited surface of policy options that intent-space policy cannot reach.

Elite outcome (lever)	Working-poor outcome (anchor)
Federal corporate tax rate	OECD life expectancy gap
Mega-cap market-cap ceiling	Lowest minimum wage in the US
Carried interest tax rate	National food insecurity rate
Pharmaceutical patent term	Median price percentile of insulin and similar essentials
Pentagon procurement budget	Veteran suicide rate
Federal Reserve member compensation	M2 growth above 4% (anti-debasement coupling)
CEO pay deductibility cap	Ratio of CEO comp to median worker comp at the same firm
Private jet fuel tax exemption	Average commute time in the metro of the airport of departure
Mortgage interest deduction (above $1M)	Median local rent-to-income ratio
401(k) contribution limit	Bottom-quartile retirement savings rate
Hedge fund 2-and-20 deductibility	Median wage growth in PE-owned companies
Big Tech equity comp tax treatment	Gig worker net hourly wage
Investment manager performance fees	Public pension fund returns vs. their stated benchmark
Banker bonus pool deductibility	Overdraft fees collected from sub-$5K balances
Defense contractor margin	Active-duty military pay growth
Private school tuition deductibility	Public school per-pupil spending
Concierge medicine fee deductibility	Medicaid coverage rate in headquarters state
University endowment tax rate	Pell Grant funding adequacy
Big Pharma R&D tax credit	New drug accessibility within 5 years of approval
Tech VC carried interest	Number of US patents granted to women and minority inventors

Some of these are technically clean and politically explosive. Some are technically broken and would have horrible second-order effects. The point is the generation — that the mechanism design surface is enormous and underexplored.

A serious policy shop could do nothing but iterate through these pairings for a decade and produce a transformative policy program. Each accepted pairing would generate a constituency: an elite class with a new bound interest in a population outcome they previously did not care about.

Pick a problem. Find an elite lever. Build the formula. Pass it. Walk away.

Why This Matters Now — The Populist Reset Alternative

If we don't do this, the alternative is not stable continuation of the current trajectory. The alternative is rupture.

The structural decoupling of elite outcomes from working-poor outcomes has been compounding for forty years. Wages stagnated since the late 1970s. Healthcare outcomes have been sliding since 2014. Housing affordability has crossed historical danger thresholds in most US metros. Educational outcomes are flat. Life expectancy is declining. Wealth concentration has reached pre-Depression levels. The bottom 50% holds about 2.5% of household wealth. The top 0.1% holds more than the bottom 90%.

These are not statistics. These are the precursor conditions to every populist eruption in modern history. The pattern is mathematical: the bottom decoupling continues until the bottom has nothing left to lose, and then the bottom redistributes the structure by force.

The Bottom 50% Wealth Share At Major Revolutions

Here is the data, reconstructed from economic historians (Lindert & Williamson, Piketty, Soltow, Morrisson, and others) for the pre-modern entries, and from central-bank statistics for the modern ones. Pre-1900 numbers carry real uncertainty — wealth-distribution measurement was not formalized until the early 20th century — so I give honest ranges. The pattern is more important than any single decimal point.

Look at the chart. Sit with it for a moment.

Of every major populist revolution in the last 250 years, exactly one — the Haitian slave revolt of 1791 — happened in a society more unequal than the United States today. Below pre-revolutionary France. Below pre-revolutionary Russia. Below pre-revolutionary Iran. Below pre-revolutionary China. Below Cuba in 1959, below Mexico in 1910, below Venezuela in 1998. Below the Paris Commune. Below Weimar Germany on the eve of the Nazi rise. Every one of those societies, when distributed at the levels they were, produced an asset-redistribution event of historic violence and scope.

We are not "approaching" a danger zone. We have been inside it — quietly, statistically, undeniably — for years. The 2.5% figure is from the Federal Reserve's own data. It is not a partisan claim or a left-wing exaggeration. It is the literal share of household wealth that the bottom half of the country owns. The other 97.5% is held by the top half, with the top 1% holding more than the bottom 90% combined.

This is what the historical record says about distributions like ours. And here is the same record's tabular form:

Year	Event	Bottom 50% wealth share	Outcome
1776	American Revolution	~15–20%	Republic founded. Existing property rights preserved. No asset reset. Institutions strengthened.
1789	French Revolution	~5–8%	Aristocracy abolished, church lands seized, mass property redistribution, Terror, Napoleonic reorganization
1791	Haitian Revolution	~1–2%	Slave society overthrown, French planters expelled or killed, plantations seized
1848	European revolutions (multiple)	~5–10%	Mostly suppressed, but produced widespread political and labor reforms over the next two decades
1871	Paris Commune	~3–5%	Suppressed within months, ~20,000 killed, but accelerated French Republican consolidation
1910	Mexican Revolution	~3–5%	Hacienda system dismantled, ejido land redistribution, decade of civil war
1917	Russian Revolution	~3–5%	Total asset expropriation. Tsarist aristocracy executed or exiled. Land collectivized. Industry nationalized.
1933	Weimar collapse / Nazi rise	~5–8%	Hyperinflation had already destroyed middle-class savings; populist movement consolidated power, expropriated targeted groups, started a world war
1936	Spanish Civil War	~5–7%	Civil war, ~500,000 dead, fascist victory, decades of repression
1949	Chinese Revolution	~2–4%	Total expropriation. Landlord class executed or imprisoned. Land redistributed. Industry nationalized.
1959	Cuban Revolution	~3–5%	Property nationalized, US-owned assets seized, professional class fled
1979	Iranian Revolution	~5–8%	Pahlavi-allied wealth expropriated, foreign assets seized, theocratic reorganization
1998	Venezuela (Chávez)	~6–10%	Oil sector nationalized, currency collapse, gradual asset seizures, eventual hyperinflation and mass emigration
2026	United States today	~2.5%	To be determined

Look at where the United States sits in 2026.

Below pre-revolutionary France. Below pre-revolutionary Russia. Below pre-revolutionary Iran. Approaching the pre-revolutionary China and Cuba range. Lower than every major political revolution in the last 250 years except the slave societies (Haiti) and the post-famine Chinese situation.

This is not a comfortable place to be. It is not "we have some inequality issues to address." It is sitting at the lowest reading of bottom-50% wealth share recorded in any major economy in modern history immediately before that economy underwent a populist redistribution event.

The 1776 Outlier — And Why It Matters

The American Revolution is the entry that does not look like the others. The bottom 50% held an estimated 15–20% of wealth in the colonies in 1776 — a distribution flatter than anywhere in Europe at the time, and flatter than essentially any other society in recorded history before that point. (This excludes enslaved persons, which is a massive caveat, but counting only the free white population — the people whose political grievance drove the revolution — the distribution was extraordinarily flat.)

The American Revolution was a political and sovereignty revolution, not an asset-redistribution revolution. The colonists wanted self-governance, not the seizure of merchant wealth. They were arguing about taxation and representation, not about the distribution of land or capital. The relatively flat distribution meant that political grievance could be channeled into the design of new institutions rather than into the burning down of old ones.

This is the central insight, and it is the inverse of what most American historical narrative emphasizes. The American founding was politically possible because the underlying distribution was already broadly equitable. When you have widespread small-property ownership, widespread literacy, widespread political participation, and widespread economic stake in the existing system — you can build a republic. People want to preserve and improve the structure because they have a piece of it.

When the distribution is the inverse — when 90%+ of wealth is held by a small fraction of the population — political grievance compounds with material grievance and the response is not "let's design better institutions," it's "let's burn down the structure that has nothing in it for us."

The United States in 2026 has neither the equal distribution of 1776 nor the political legitimacy that flowed naturally from it. It has both the material conditions of pre-revolutionary France and the political polarization of pre-revolutionary Russia. The question is not whether populist pressure will continue building. It will. The question is whether the asset-holding class chooses to design bound outcomes now, while there is still time and legitimacy to do so — or whether they wait for the populist movement to design the redistribution for them.

We have a clear historical example of what happens when the distribution is already broad: a republic gets built and the institutions endure. We have many clear examples of what happens when the distribution is narrow: the institutions are torn down and the assets are seized. We are not currently in the first scenario. We are sitting in the conditions associated with the second.

We are not yet at that point in the United States. We are closer than people who don't watch this carefully realize. The 2016 and 2024 elections were warm-up signals. The next decade will produce an escalating sequence of populist political phenomena unless the underlying decoupling is structurally addressed.

The wealthy class assumes — has always assumed — that they can ride out populist anger because they have the lawyers, the lobbyists, the money, the security, and the political access to defend their position. This assumption has worked for thirty years. It worked for the French aristocracy until it didn't. It worked for the Russian aristocracy until it didn't. It worked for the German industrial class until it didn't. The asset structure of a country is only stable as long as a critical mass of the population has a stake in it.

When the bottom 50% holds 2.5% of wealth, the share of the population with a stake in the existing asset structure is roughly the top 30%. That is not a politically resilient configuration. The top 30% can outvote the bottom 70% on most days, but not all days, and not under stress. When the stress comes — pandemic, war, financial crisis, climate disruption — the bottom 70% is willing to consider extraordinary actions because the existing arrangement has provided them nothing.

Bound outcomes is the structural alternative to that scenario. It does not redistribute wealth. It does not raise marginal tax rates. It does not punish success. It just gives the asset-holding class a structural reason to want the bottom to do well. And once they have that reason, their lobbying apparatus, their political access, their capital, and their attention all flip to working in the same direction as the bottom rather than against it.

This is a one-time political opportunity. We can build it now, while the system is functional and reforms are still legal. Or we can wait until the populist eruption builds the same outcome through far more violent means. Both paths end at roughly the same destination — a more aligned distribution of incentives. One path takes us there with most of our institutions intact. The other does not.

I would rather take the first path.

The Closing

Bound outcomes is not a moral argument. It is not asking the wealthy to be more generous. It is not asking the powerful to be more compassionate. It is not asking anyone to be a better person.

It is asking us to redesign the formula. Once.

Once you change the formula, the most powerful actors in the country start working in the direction the formula points. Not because they want to. Because they have to. Because the math says so. And the math is publishable, auditable, and undeniable.

Fifty years from now, our descendants will look back at this period and ask why we wrote so much policy in intent-space when outcome-space policy was available the entire time. The answer will be embarrassing: because intent-space policy is easier to write, easier to fund-raise off, and easier to claim credit for. And outcome-space policy actually delivers, which makes it threatening to everyone who profits from policy that doesn't deliver.

Most policy operators have never had skin in the formula. Most decision-makers in American institutions today face essentially no consequence for their decisions producing bad outcomes for the populations they affect. That is not normal. That is a deviation from how durable institutions have always worked. Restoring the bind is the project.

The wealthy class can choose how this goes. They can choose to support the design of bound outcomes now, while they still hold the levers of policy. Their wealth will continue compounding. The country will be stronger. The populist anger that is currently building will dissipate because the underlying conditions will improve. Their grandchildren will inherit a country worth living in.

Or they can refuse, and the populist movement will eventually do the binding for them through a far less pleasant mechanism. The asset reset is not aspirational. It is what happens when the structural decoupling reaches its natural endpoint and the bottom decides to redistribute the structure by force.

The choice is theirs. The math is published.

Bind the outcomes. Let the math do the politics.

That's the whole thing.

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This is the third in a sequence. The Top Three And The Tundra named the rigged game and the personal-investor response. The Hundred-Billion Match proposed one specific bound-outcomes mechanism for the concentration problem. This post names the meta-pattern that the Match is one instance of, and points at the surface of all the other places it could be applied.

If you find this useful, the most productive thing you can do is sit down with the table above and either improve the formulas, propose new pairings, or argue against any of them on substantive grounds. The mechanism design surface is enormous and underexplored. Anyone with operator instincts and policy imagination can contribute. The math is the politics.

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Sources & Further Reading

The argument above relies on a mix of well-established modern data, reconstructed historical estimates, and concrete worked examples. Here is the underlying reading and primary data, organized by claim. I have tried to cite the most rigorous available sources rather than secondary commentary. Where pre-modern numbers are reconstructed estimates, the source is named so you can examine the methodology yourself.

US wealth distribution (current data)

• Federal Reserve Distributional Financial Accounts (DFA) — the source for the 2.5% bottom-50% figure. Updated quarterly. https://www.federalreserve.gov/releases/z1/dataviz/dfa/distribute/chart/
• Federal Reserve Survey of Consumer Finances (SCF) — triennial detailed household wealth survey. https://www.federalreserve.gov/econres/scfindex.htm
• World Inequality Database (WID) — internationally comparable wealth and income series, maintained by Piketty, Saez, Zucman, and collaborators. https://wid.world/

Historical wealth distribution (pre-modern)

• Lindert & Williamson, Unequal Gains: American Growth and Inequality since 1700 (Princeton University Press, 2016) — the foundational long-run reconstruction of American distribution. Source for the ~15–20% bottom-50% estimate at the time of the American Revolution.
• Lindert & Williamson, "American Incomes Before and After the Revolution" (Journal of Economic History, 2013) — peer-reviewed paper covering the same data with full methodology.
• Lee Soltow, Distribution of Wealth and Income in the United States in 1798 — pre-industrial American distribution baseline derived from the federal tax rolls.
• Thomas Piketty, Capital in the Twenty-First Century (Harvard, 2014) — French Revolution-era distribution estimates and the methodology behind multi-century wealth measurement.
• Piketty, Postel-Vinay, Rosenthal, "Wealth Concentration in a Developing Economy: Paris and France, 1807–1994" (American Economic Review, 2006).
• Morrisson & Snyder, "The Income Inequality of France in Historical Perspective" (European Review of Economic History, 2000).
• Branko Milanovic, Global Inequality: A New Approach for the Age of Globalization (Belknap, 2016) — longest-run reconstruction of global inequality, including pre-modern societies.
• Walter Scheidel, The Great Leveler (Princeton, 2017) — comparative-historical account of inequality and the four "leveling" forces (mass-mobilization war, transformative revolution, state collapse, plague). Direct relevance to the populist-reset thesis.

Comparative revolution analysis

• Crane Brinton, The Anatomy of Revolution (1938) — classic comparative framework for English, American, French, and Russian revolutions.
• Theda Skocpol, States and Social Revolutions (Cambridge, 1979) — French, Russian, and Chinese revolutions from a comparative-historical lens.
• Eric Hobsbawm's Age of... series (Revolution, Capital, Empire, Extremes) — long-run European political-economic context.
• Jack Goldstone, Revolution and Rebellion in the Early Modern World (1991) — quantitative revolutionary precondition analysis.

Passive flow / index concentration

• Investment Company Institute (ICI) Fact Book — annual data on US fund AUM, passive vs active split, ETF growth. https://www.ici.org/research/stats
• Morningstar Direct — fund flow and concentration tracking (subscription).
• BlackRock, Vanguard, State Street annual reports — direct AUM disclosures.
• Bebchuk & Hirst, "The Specter of the Giant Three" (Boston University Law Review, 2019) — academic analysis of passive-fund voting power concentration.

Monetary expansion

• FRED M2SL series (Federal Reserve Bank of St. Louis) — M2 money supply, monthly. https://fred.stlouisfed.org/series/M2SL
• FRED CPIAUCSL — Consumer Price Index for All Urban Consumers. https://fred.stlouisfed.org/series/CPIAUCSL
• Federal Reserve H.6 release — money stock measures.

Health outcomes / life expectancy

• OECD Health Statistics — comparable life expectancy across member countries. https://www.oecd.org/health/health-statistics.htm
• CDC National Center for Health Statistics (NCHS) — US mortality data including firearm deaths. https://www.cdc.gov/nchs/
• Anne Case & Angus Deaton, Deaths of Despair and the Future of Capitalism (Princeton, 2020) — analysis of the recent US life expectancy decline.

AT&T / Standard Oil breakup outcomes

• Robert Crandall, After the Breakup: U.S. Telecommunications in a More Competitive Era (Brookings, 1991) — detailed analysis of post-1984 telecom industry outcomes.
• Daniel Yergin, The Prize: The Epic Quest for Oil, Money & Power (Simon & Schuster, 1991) — Standard Oil's history, breakup, and the post-breakup industry. Pulitzer Prize 1992.
• Granitz & Klein, "Monopolization by 'Raising Rivals' Costs': The Standard Oil Case" (Journal of Law & Economics, 1996).
• Tim Wu, The Master Switch (Knopf, 2010) — long-run history of communications industry concentration cycles.
• Tim Wu, The Curse of Bigness (Columbia Global Reports, 2018) — modern antitrust revival argument.

Mechanism design and aligned incentives

• Nassim Taleb, Skin in the Game (Random House, 2018) — the voluntary version of the principle this post extends.
• Leonid Hurwicz, Eric Maskin, Roger Myerson — Nobel Memorial Prize in Economic Sciences (2007), foundational mechanism design work.
• Thomas Schelling, The Strategy of Conflict (Harvard, 1960) — foundational text on commitment mechanisms.
• Elinor Ostrom, Governing the Commons (Cambridge, 1990) — Nobel-winning work on self-governance and bound-outcome cooperation in commons management.

Cooperative / bound-outcome examples in practice

• Mondragón Corporation — official site and operating data. https://www.mondragon-corporation.com/
• William Foote Whyte & Kathleen King Whyte, Making Mondragón (Cornell, 1991) — the definitive English-language history.
• Bruno Roelants et al., Cooperatives and Workers' Self-Management (2014) — comparative cooperative governance.

Author's prior writing in this thread

• The Top Three And The Tundra — diagnosis of the passive-flow concentration mechanism and personal investor response.
• The Hundred-Billion Match — first concrete bound-outcomes mechanism (the indexed antitrust ceiling).
• The Strange Attractor — earlier post on passive-flow feedback loops in markets.
• The Sovereign Series — Mag 7 framed as corporate nation-states.

A note on the historical wealth-distribution numbers in the chart

The pre-1900 figures (Haiti 1791, France 1789, etc.) are reconstructed from probate records, tax rolls, land registries, and the work of the economic historians cited above. They carry real measurement uncertainty — wealth distribution measurement was not formalized until the early twentieth century. The ranges shown in the chart are good-faith representations of where mainstream economic-history scholarship places these distributions, but a reader who challenges any specific number is not being unreasonable.

The strength of the argument does not depend on any single estimate. It depends on the ordinal ranking, which is robust across multiple independent reconstructions. Every revolution shown happened in a society with a bottom-50% wealth share materially below America's 1776 distribution. The United States in 2026 sits below all but one of those rankings. That comparative claim survives any plausible adjustment to the individual numbers.

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If you find an error in the data or have a better source for any specific figure, please reach out. The point of this work is to be defensible to people who actually check the math, not to score points with people who don't.