We The People

Universal healthcare, childcare, mental health, and care for life — with about $16,000 per year back to the median household.

An architecture for universal access to essential life systems.

An independent policy proposal. Not affiliated with any government, party, or institution. About this platform →

Modeled to deliver ~$16,000 per year in net savings to the median household — while making healthcare, childcare, education, mental health, paid family time, long-term care, and retirement universal and fully funded.

About this platform

The We The People Platform is a federal-policy reform proposal package. It documents a comprehensive architecture for shared prosperity built on twelve interlocking policy pillars: community contribution plan, empirical wage floors, sovereign education fund, universal healthcare access, universal childcare, universal mental health access, civic infrastructure, universal paid family time, universal long-term care, federal housing investment, climate architecture, and immigration architecture.

Each pillar has its own substantiation document explaining the funding architecture, the expected costs and benefits, the implementation path, and the interactions with existing federal programs. The platform also includes worked examples (showing what the architecture means for households at different income levels), a fiscal impact analysis (reconciling the platform's contributions to its commitments at steady state), a sovereign-fund design document, and an interactive calculator that lets a household enter their income and see the personalized comparison between the current federal tax architecture and the platform's proposed architecture.

How this started

I didn't set out to build a policy platform. It began with a question I'd been carrying since I was sixteen: could the programs we're all told to count on actually keep their promises?

I finally sat down and asked it seriously. The first answer didn't hold up, so I asked another question, and then another. Somewhere in that chain I stumbled onto something that actually worked: a concrete, fundable way to address problems I'd assumed were unsolvable. The questions kept compounding until they'd grown into a twelve-pillar architecture.

I'm not an economist. I'm a citizen who got tired of just complaining and decided to build a roadmap instead. Where I couldn't resolve something myself, I flagged it openly rather than paper over it. That transparency is the point, and it's the invitation: if you know more than I do, tell me where it's wrong. That's how it gets better.

What this site contains

The platform consists of 139 documents organized into nine folders, all linked from the platform index page. The index lets you filter by document type, by pillar, by folder, or by reading path (separate paths for different audiences: skeptical reader, policy professional, household curious about personal impact, etc.). Each document can be read directly in the browser as an HTML version; the original .docx files are available for download.

Architecture stance

The platform takes a substantive position: that the federal architecture should pool risk and provide universal coverage for healthcare, childcare, mental health, paid family time, and long-term care. Its funding answer is structural before it is extractive. The universal coverage runs on payroll contributions split between employer and employee shares; above that, the high-earner income surcharges and the wealth taxes on net worth over ten million and fifty million dollars do not fund annual spending but capitalize a Sovereign Investment Fund, a national asset the country builds and owns, which grows over sixty years to one-hundred-twenty-two trillion dollars and finances modernization commitments out of its investment returns rather than out of rising payroll rates. This is the same logic behind Norway's sovereign wealth fund, and it speaks directly to the most common objection to proposals like this, that taxing wealth simply drives it offshore: those contributions seed an owned, compounding asset rather than funding spending in perpetuity, so the model leans on building and holding capital instead of on indefinitely escalating extraction. The platform does not treat capital-flight risk as solved. How investors would respond to the wealth-tax thresholds is one of the open questions tracked for outside review.

The platform is not a partisan document; it is an architectural proposal that draws on policies that already exist in other developed countries (Germany's long-term care insurance, the United Kingdom's National Health Service, Norway's sovereign wealth fund) and adapts them to the United States's federal structure. The proposal documents are written for skeptical readers — the open-issues registry tracks every architectural decision, the substantiation documents cite federal data sources for every cost estimate, and the calculator shows the math behind every comparison.

Put plainly, the platform is offered as a falsifiable blueprint, not a finished answer. Every parameter is sourced, every assumption is written down, and every unresolved question is published rather than smoothed over, so the whole proposal can be checked, forked, and stress-tested. The thirty-two open questions are the standing invitation to do exactly that: each one names the discipline whose expertise would settle it, and the open-questions page is where a reader can take one on. If something here is wrong, finding that out is the point.

Architectural decision principles

The platform's twelve-pillar architecture was not designed top-down from theory. Each pillar's specifications — contribution rates, floor levels, threshold percentages, time horizons — were grounded in empirical evidence and stress-tested against existing successful implementations. The decision principles below shaped how empirical data drove design choices.

1. Stay within the empirical evidence base. Quantitative parameters use values within the range where rigorous research provides reliable estimates. Wage floors sit within the range studied by the Dube and Zipperer 2024 NBER meta-analysis where employment effects are well-characterized; the platform does not commit to parameter values outside that tested range.
2. Adapt proven models rather than invent new ones. Each pillar draws on a real implementation with a track record: the UK's National Health Service (universal healthcare), Germany's Pflegeversicherung (long-term care insurance, since 1995), Germany's KiTa system (early childhood), Norway's Government Pension Fund Global (sovereign fund, 25-plus year track record). Adaptations preserve the structural logic that made the original work while accommodating the United States's federal structure.
3. Authoritative data with provenance. Every cost estimate, every projected revenue, every wage figure cites a specific federal data source (BLS, IRS, SSA, CBO, Federal Reserve). Verbatim snapshots of the underlying source data are preserved in the package with cryptographic checksums so any reader can verify the platform's claims against the exact data the platform was looking at on the extraction date.
4. Annual recalibration on smoothed bases. All quantitative parameters recalibrate annually using three-year smoothed moving averages to stay current with economic conditions while dampening year-to-year volatility. This mirrors how Norway's sovereign fund manages its spending rule and how BLS itself uses six-panel rolling samples.
5. Open issues are tracked, not hidden. Every architectural decision left ambiguous is logged in the Open Issues Registry with status, required expertise (legal, actuarial, economic), and proposed resolution path. The registry currently tracks eighty-five entries (fifty-three closed, thirty-two open questions) so readers can see exactly what is settled and what is still under analysis.
6. Threshold-based progressivity. Burden scales with capacity to bear it. Wealth taxes apply only above ten million dollars (0.5 percent) and fifty million dollars (0.6 percent) of net worth. High-earner income surcharges apply above two-hundred-fifty thousand, five-hundred thousand, and one million dollars at five, ten, and fifteen percent. Everyone below those thresholds pays payroll-based contributions split between employer and employee.
7. Long-horizon design with intergenerational fairness. The Sovereign Investment Fund's sixty-year growth horizon ensures modernization commitments are funded by long-run investment returns rather than annual contributions. Future generations inherit the fund's productive capacity, not its liabilities.
8. Worked examples test architecture at household level. Every major design decision is checked against household-level impact at multiple income levels (single, married, with or without children, low, mid, and high income) to verify the architecture works for real people rather than only in aggregate statistics.
9. Phased, gated rollout, not a single switch. The architecture is built to be implemented in sequence rather than all at once. The funding base and the Sovereign Investment Fund's capitalization come first; the universal-coverage pillars scale only after the funding is demonstrably stable; and the longer-horizon commitments follow once the earlier phases are holding. Each transition is gated, meaning a later phase activates only when the earlier one meets defined stability conditions. The specific quantitative gates (how much stability, measured how, and for how long) are design parameters that require expert calibration, so they are flagged as to-be-calibrated rather than asserted: the sequencing logic stands on its own while the trigger values are settled with outside review.
10. Circuit breakers and guardrails. The rollout is designed to pause or adjust itself if it produces adverse effects rather than proceeding on momentum. The recommended guardrails watch for the failure modes critics rightly raise: small-business insolvency attributable to contribution costs, demand-pull inflation in the newly funded sectors, erosion of the wealth-tax base, and shortfalls in the fund's return path relative to its commitments. If a monitored indicator crosses its trip point, the affected phase slows or holds while the cause is addressed. The platform commits to the mechanism; the specific trip thresholds depend on macroeconomic and actuarial calibration the author cannot responsibly set alone, so they are documented as recommended guardrails with the indicators named and the expertise needed to set them, and tracked as a calibration question rather than invented.
11. Regional pilots before national scale. Where a pillar can be tested at smaller scale first, the design favors regional pilots and policy sandboxes over an immediate nationwide switch. Running a pillar in a limited set of willing states or regions would let its real-world effects, costs, and failure modes be measured against the platform's projections before the commitment is extended to the whole country, and it gives the circuit breakers somewhere to be observed in practice before they must hold at national scale. This is a framing the platform proposes, not a capability it holds: the author cannot stand up a pilot alone, since real pilots require legislators, state partners, and enabling authority. So the pilot-first stance is offered as the preferred sequencing, with the partnerships and authority it depends on named as an external dependency rather than assumed.

What the models do not capture

The principles above describe how the architecture was built; honesty requires naming what it does not yet do. The financial models are comparative-static — they show how the proposed system compares to the present one under stated assumptions, but they do not simulate how people, firms, and markets would adapt over time. The limitations below are not oversights to be hidden. Each is published, named by the discipline whose expertise would close it, and tracked on the open-questions page.

1. Static comparison, not dynamic simulation. The models compare the proposed system to the current one at a point in time. They do not yet run a year-by-year simulation of how the economy responds as the policy phases in — feedback loops, transition dynamics, and second-order effects are described qualitatively rather than computed. A dynamic, agent-based or Monte Carlo simulation is on the roadmap, but credible parameters for it depend on expert review first, so the simulation is scoped behind that review rather than built on invented inputs.
2. Supply-side responses are not modeled. When coverage becomes universal, providers, employers, and workers change their behavior — clinics hire, employers restructure compensation, labor supply shifts. The platform models demand-side coverage and cost without yet modeling how supply adjusts to meet it. Health economists and labor economists are the reviewers who would close this.
3. Behavioral response to the wealth tax and surcharges is unresolved. The funding base assumes the wealth-tax and high-earner surcharge bases hold; in practice high-net-worth taxpayers may relocate, restructure, or shelter assets. The Sovereign Investment Fund is the structural answer to capital flight — a national asset the country owns and compounds rather than a stream it must keep extracting — but the threshold at which behavioral response meaningfully erodes the base is not solved, and the wealth-tax-base guardrail watches for exactly this.
4. The Lucas critique applies. Parameters estimated from data gathered under today's policies may not hold once the policies themselves change what people expect and how they behave. The platform uses the best available empirical ranges, but it cannot assume those relationships survive unchanged through the regime change it proposes.
5. Goodhart's law applies to every target. A measure that becomes a target tends to stop being a good measure. Wage floors, rollout gate thresholds, and circuit-breaker indicators are all metrics the architecture would steer by, and each creates an incentive to game it. The phased, gated design is meant to surface that gaming early rather than to pretend it away.

Each of these is a standing invitation rather than a disclaimer to skim past. The open-questions page lists what would settle each one and names the discipline that could do it; if one of these is the reason you doubt the proposal, that is the place to take it on. For the objections opponents are most likely to raise — and the platform's response to each — see objections and responses.

The proposal is fully substantiated. Every contribution rate has been modeled. Every cost has been projected across a sixty-year horizon. 139 documents make the integrated argument: substantiation analyses, fiscal impact studies, worked examples, presentations, and external reviews.

You can engage at your own pace. Reading paths guide first-time readers through curated sequences. The document index supports targeted research. The interactive calculator illustrates what the proposal means for your specific situation.