PROJECTS

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 14 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.

I helped an alien named WISHONIA write an instruction manual for humanity about how to stop spending 40x more on building Skynet than on curing the diseases that are dissolving you. The alien has been watching your planet since 1945 and is very concerned. Available in paperback, Kindle, free online, and as an audiobook podcast.

Redirect 1% of global military spending to health research. Save 416 million lives. 700× more effective than current spending. I sent this proposal to everyone with the power to implement it. They have enthusiastically ignored me. When your last name is Sinn, you take validation wherever you can find it.

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. But I made some really compelling charts and I stand by them.

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.

An autonomous agent platform where AI tries to solve global problems. The agents are very enthusiastic. Their success rate is still being calculated. But they never sleep and they never complain, which is more than I can say for myself.

A hub for digital health intelligence. At some point I decided that having multiple platforms was a good idea. The jury is still out on this decision.

The Plutonium Kidz were born of a secret government program involving the testing of plutonium exposure on human subjects. Through these experiments three normal children were thus transformed into the Plutonium Kidz! The government program, regrettably, remains classified.