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6.65 thousand diseases have zero FDA-approved treatments; at current trial capacity, exploring them takes ~443 years. Redirecting 1% of military spending scales capacity 12.3x, cutting the timeline to ~36 years and preventing 10.7 billion deaths. At $0.00177/DALY, 50.3kx more cost-effective than the best existing interventions. The result holds across every specified adoption pathway.

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.

Representative democracy suffers from an inescapable principal-agent problem where elected officials' incentives diverge from citizen welfare. Wishocracy introduces RAPPA (Randomized Aggregated Pairwise Preference Allocation), which aggregates citizen preferences through cognitively tractable pairwise comparisons and creates accountability via Citizen Alignment Scores that channel electoral resources toward politicians who actually represent what citizens want.

Your governments possess nuclear weapons sufficient to end civilization 122 times but have not cured Alzheimer's once. This treaty asks them to be 1% more rational.

A protocol combining five primitives (transparent ledger, preference aggregation, evidence engine, identity verification, automated monetary policy) to replace mechanical government agency functions, eliminating administrative intermediation costs while preserving democratic control.

What's the maximum cost to achieve any policy change through legal democratic channels? $25B for the US, $200B globally. For high-value reforms like military-to-health reallocation, this yields ROI exceeding 400,000:1.

An open-source platform that uses causal inference to figure out which policies actually save lives instead of just sounding good at press conferences. Analyzed 11 natural experiments and 14 policy areas across 50+ years. Found that Singapore gets better health outcomes at 4.1% GDP while the US spends 17.3% and somehow does worse. Portugal decriminalized drugs and deaths dropped 94%. Norway rehabilitates prisoners and recidivism dropped to 20% vs America's 76%. All of this data is freely available. Policymakers remain committed to vibes-based governance.

An open-source system for aggregating health data, analyzing it with causal-inference methods, and publishing reproducible evidence. The platform has generated 50,000+ observational studies from 12 million data points, meta-analyses for 90%+ of condition-treatment pairs, and treatment rankings for 100+ conditions. The goal is to make clinical discovery dramatically faster. At the current pace, testing the roughly 1.16 quadrillion possible drug combinations will finish in approximately never.

A governance mechanism called RAPPA that decomposes impossible budget decisions into simple pairwise slider comparisons. You spend 5-10 minutes doing ~20 comparisons. The eigenvector math does the rest. The US spends $886B on military vs $47B on NIH despite medical research having a 45:1 benefit-cost ratio vs military's 0.7:1. When Porto Alegre let citizens set priorities, water access went from 75% to 98% and schools quadrupled. Taiwan used pairwise comparison tools to resolve a 4-year regulatory deadlock. The math works. The political will remains theoretical.

Redirect 1% of global military spending to health research. An estimated 416 million lives saved. 700× more effective than current spending. Sent to everyone with the power to implement it. Enthusiastically ignored.

Data-driven policy analysis. Articles like 'The War on Drugs Increases Drug Deaths' and 'We Spend More on Corporate Welfare Than Social Welfare.' 2 million people read these. The policy remains exactly the same.

A DAO focused on clinical research. That's a lot of technical jargon, so let me translate: imagine if Wikipedia and a clinical trial had a baby that was raised by blockchain. The result is a platform where anyone can contribute to medical research without needing permission from a committee of very tired people in lab coats.