FAIR ACCESS AND DISCOUNT ALGORITHMS

[mikepsinn]

Summary by Sourcery

Localize the campaign as a global initiative and introduce a financial engine (“DIH Treasury”) funded by $VICTORY bonds to subsidize patient trial participation and accelerate research worldwide. Expand and refactor strategy materials for multi-country rollout, add a comprehensive public-opinion survey, and update governance, funding, and legislative models across docs.

New Features:

• Add a detailed public opinion survey for measuring support on the dFDA initiative, the 1% Treaty, and modernizing clinical trials.
• Introduce a README with project overview and contribution guidelines for the dFDA Wiki.

Enhancements:

• Globalize the referral-rewards strategy from U.S.-centric FDA advocacy to mobilizing 3.5% of targeted populations in key countries and update benchmarks, budgets, and phases accordingly.
• Refocus Decentralized Institutes of Health doc into a DIH Treasury that issues $VICTORY bonds, subsidizes patient participation via algorithmic discounts, and funds prizes, bounties, and infrastructure under DAO governance.
• Revamp the 1% Treaty and strategy docs to integrate the DIH Treasury model, bond repayment by treaty contributions, and transparent DAO governance.
• Rename and broaden Sec. 303 in the Act to “Fair Access and Discount Algorithms,” sourcing subsidy funding from the DIH Treasury and bonds.
• Restructure the roadmap to prioritize global signature collection, lobbying for the 1% Treaty, AI policy-making pilots, and scaled decentralized trials.
• Enhance messaging and value-estimation outputs with referral performance and engagement metrics.

Documentation:

• Revise strategy, treaty, and roadmap markdown files to reflect the global scope and financial framework of the DIH Treasury.
• Update in-text references across home, cost statistics, and economic model analyses to include the DIH funding mechanism.

Chores:

• Adjust minor typos, label refinements, and phrasing improvements across multiple markdown files.

[sourcery-ai]

Reviewer's Guide

This PR globalizes the campaign by transforming the referral rewards system, embedding a Decentralized Institutes of Health treasury model financed through $VICTORY Bonds with algorithmic subsidy allocation and DAO governance, updates the FAIR ACCESS AND DISCOUNT ALGORITHMS in the legislative text, aligns strategic roadmaps and FAQs around these mechanisms, and adds a public opinion survey alongside documentation enhancements.

Class diagram for DIH Treasury, $VICTORY Bonds, and Subsidy Allocation

classDiagram
    class DIH_Treasury {
      +issueVictoryBonds()
      +allocateSubsidies()
      +fundInfrastructure()
      +repayBondholders()
      +governedBy: DAO
    }
    class VictoryBond {
      +holder: User
      +principal: float
      +interest: float
      +repaymentSchedule: Date[]
    }
    class SubsidyAlgorithm {
      +calculateSubsidy(trial, patient): float
      +factors: Promise, Severity, DataValue, Cost
    }
    class DAO {
      +propose()
      +vote()
      +executeDecision()
    }
    class Patient {
      +applyForTrial()
      +receiveSubsidy()
    }
    class Trial {
      +disease: string
      +cost: float
      +impact: float
    }
    DIH_Treasury o-- VictoryBond : issues
    DIH_Treasury o-- SubsidyAlgorithm : uses
    DIH_Treasury o-- DAO : governed by
    DIH_Treasury o-- Patient : allocates subsidies
    Patient --|> User
    Patient --> Trial : applies for
    SubsidyAlgorithm --> Trial : input
    SubsidyAlgorithm --> Patient : input

Loading

Flow diagram for $VICTORY Bond funding and subsidy allocation

flowchart TD
    A[User/Citizen] -->|Buys| B[$VICTORY Bond]
    B -->|Funds| C[DIH Treasury]
    C -->|Allocates| D[Subsidy Algorithm]
    D -->|Calculates| E[Patient Subsidy]
    E -->|Reduces| F[Patient Trial Cost]
    C -->|Funds| G[dFDA Platform & Infrastructure]
    H[Governments] -->|1% Treaty| I[DIH Treasury]
    I -->|Repays| B
    J[DAO] -->|Governs| C

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File-Level Changes

Change	Details	Files
Globalized referral-rewards strategy	Broadened the 3.5% tipping point to apply to key countries worldwide Revised threshold benchmarks and case studies for a global context Updated token incentive descriptions for multi-country campaigns Added U.S. as one among several case studies with a global template	strategy/referral-rewards-system.md
Overhaul of the Decentralized Institutes of Health document	Redefined DIH as a global treasury financing the dFDA ecosystem Introduced $VICTORY Bonds for upfront capital and described repayment via treaty contributions Outlined algorithmic subsidy allocation based on societal value metrics Established DAO-governed processes for prizes, bounties, and infrastructure funding	strategy/1-percent-treaty/decentralized-institutes-of-health.md
Legislative act updates for fair access and discounts	Renamed Section 303 to “FAIR ACCESS AND DISCOUNT ALGORITHMS” Linked the discount fund financing to DIH bond instruments Expanded hardship provisions to coordinate with external DIH funding	act.md
Strategic framework realignment	Retitled and refocused strategy tasks for a global signature collection drive Updated FAQ to explain algorithmic subsidy allocation and DAO governance Revised treaty steps to include bond financing and DAO oversight Added key campaign metrics in messaging and value-estimation guides	strategy/roadmap.md strategy/1-percent-treaty/strategy.md strategy/1-percent-treaty/faq.md strategy/1-percent-treaty/1-percent-treaty.md strategy/messaging-value-estimation.md
Addition of public opinion survey	Created a detailed multi-section survey to gauge support, funding willingness, and policy priorities Structured questions on $VICTORY Bonds, donation models, and budgeting preferences	proposals/survey.md
Documentation and metadata enhancements	Added a README with project overview and contribution instructions Inserted DIH references in home.md, cost-per-participant.md, and cost-benefit analysis Updated dates, tags, and editorial metadata across multiple files	README.md home.md problems/statistics/cost-per-participant.md economic-models/dfda-cost-benefit-analysis.md

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[sourcery-ai]

Hey @mikepsinn - I've reviewed your changes - here's some feedback:

• Standardize percentage formatting and scope qualifiers across tables and text (e.g., “3.5% of population” vs “3.5 % of population (Global)”) to improve readability and consistency.
• Centralize the definition and mechanics of $VICTORY Bonds/tokens into a single section to avoid duplicating the token economics and ensure all references stay in sync.
• Reorganize the mixed U.S. case-study and global sections into clearly separated or modularized docs to reduce confusion and keep the global vs. U.S. strategy focused.

Prompt for AI Agents

Please address the comments from this code review:
## Overall Comments
- Standardize percentage formatting and scope qualifiers across tables and text (e.g., “3.5% of population” vs “3.5 % of population (Global)”) to improve readability and consistency.
- Centralize the definition and mechanics of `$VICTORY` Bonds/tokens into a single section to avoid duplicating the token economics and ensure all references stay in sync.
- Reorganize the mixed U.S. case-study and global sections into clearly separated or modularized docs to reduce confusion and keep the global vs. U.S. strategy focused.

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