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The Complete Idiot's Guide to Optimizing Your Terrible Civilization

The Complete Idiot's Guide to Optimizing Your Terrible Civilization

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.

A decentralized court where 8 billion humans are the jury, sovereign immunity is a choice nobody chose, and ~$104 quadrillion in unliquidated wrongful-death exposure makes the 1% Treaty the most generous settlement offer in legal history.

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.

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.

Rigorous analysis of the 105x increase in drug development costs from pre-1962 to 2024, using Baily (1972) academic study with CPI adjustments and sensitivity analysis

Technical specification for interoperable outcome prize pools structured as a dominant assurance contract. Covers cross-pool proof-of-personhood, a permissionless pool registry, VOTE and PRIZE token mechanics, direct cross-pool claims, tamper-evident scoreboard aggregation, and a terminal general-welfare metric oracle including decentralized surveys.

Reward humanity for raising healthy life years and median income within 15 years. PRIZE keeps depositors on the failure branch, VOTE rewards recruiters on the success branch, and Earth Optimization Protocol v1 is only the current instruction manual for trying to win.

Your destructive economy (military spending plus cybercrime) is already 11.5% of GDP and growing faster than your productive economy. At current rates, it reaches the Soviet collapse threshold in 8 years and exceeds productive output in 15. This paper models two GDP trajectories: the optimized path under military-to-medical reallocation, and the default path to civilizational collapse.

An indictment for negligent mass homicide separating historical body counts from forward-looking treaty-settlement exposure, with a 1% military reallocation as the only remedy commensurate with the offense.

Working papers on clinical trial capacity, drug approval delay, and the cost of medical evidence.

After proving a drug is safe, the FDA requires 8.2 years to prove it works before patients can access it. We estimate this delay cost 102 million deaths among people waiting for approved drugs (1962-2024). The human cost in death and disability of blocking good drugs is 3.07k higher than the cost of approving bad ones.

The companies that build the weapons are publicly traded. For roughly $110 per human, you buy all of them, replace the boards, and hand the lobbyists an optimal budget calculated to maximize median healthy lifespan and median income. The takeover is loving because existing shareholders, employees, and directors live longer and get richer. Nobody loses.

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.

Thousands of jurisdictions have made different policy and budget choices over decades, creating a natural experiment. Optimocracy applies causal inference to this cross-jurisdictional time-series data to identify which policies predict above-average median income and healthy life years. It then publishes evidence-based recommendations for every major vote, tracks politician alignment, and funds aligned candidates via SuperPAC, making suboptimal policy politically expensive while preserving democratic structures.

Quantifying the compound cost of war since 1900: 310 million dead, $1.48 quadrillion in historical costs, and a 23x income multiple lost to eight compounding channels of destruction.

Quantifying the gap between current global governance and theoretical maximum welfare, estimating a 31-53% efficiency score and $101 trillion in annual opportunity costs.

A conditional schedule-shift model of state legislation that lets post-Phase-1 treatments finance their own evidence generation and accelerates treatments for global diseases and aging.

A universal right to try, with evidence. The Act authorizes commercial access after initial human safety testing and makes every covered treatment use teach us something.

Five questions that, if a majority of humans answered them, could put humanity on a trajectory to end war and disease.

Systems audit estimating an annual U.S. efficiency gap of $4.9T, with $2.45T recoverable at OECD-median performance across direct spending waste, compliance burden, policy-induced GDP loss, and system inefficiency.

A reconstruction of Pascal's Wager with its defects removed. Two propositions cannot be disproven: that a conscious being may suffer without end, and that it may flourish without end. Both carry nonzero probability and infinite magnitude, so any finite action that shifts probability from the first toward the second has unbounded expected value. Unlike Pascal's, the wagered action is empirical, not theological: funding the clinical trials that extend healthy lifespan and modify conscious experience.

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.

An instruction manual for humanity, narrated by an alien named Wishonia, on 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. Free online; also in paperback, Kindle, and as an audiobook podcast.

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.

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. Having multiple platforms seemed like a good idea at the time. The jury is still out.