๐Ÿ’ก Solution Overview

The solution isnโ€™t complicated. It doesnโ€™t require changing human nature. It just requires changing what pays.

Hereโ€™s the complete system that makes curing people more profitable than killing them:

The Goal: Personalized, Preventive, Precision Medicine

Out of an existing pool of big health data, an insilico model of human biology can be developed to discover new interventions and their personalized dosages and combinations.

One way to achieve this is to view the human body as a black box with inputs and outputs. We can apply predictive machine learning models to stratified groups of similar people based on the following aspects:

This will enable the discovery of the full personalized range of positive and negative relationships for all factors without a profit incentive for traditional trials.

The human body as a black box model for machine learning

The 6-Step Process

From $27 Billion to Curing Cancer

1. Get the Money: The 1% Treaty redirects $27B/year from weapons to cures
2. Allocate Efficiently: The DIH uses democratic voting to fund what matters most
3. Pay Patients: Subsidies go directly to patients who join trials
4. Run Cheap Trials: Pragmatic trials cost $500/patient instead of $41,000 (Oxford RECOVERY proved this works)
5. Publish Everything: The dFDA shows real effectiveness data for every treatment
6. Label Outcomes: Every food and drug gets honest labels about what it actually does

Result: We know what works, what doesnโ€™t, and people get paid to help figure it out.

The Proof: Oxford RECOVERY Trial Already Did This

Before you think this is theoretical, know that Oxford already proved it works:

The RECOVERY trial isnโ€™t a model - itโ€™s proof. Weโ€™re just scaling what already succeeded. See the full RECOVERY analysis โ†’

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