MathGov · RippleLogic
MathGov is an ethical-governance framework. RippleLogic is its rights-constrained decision architecture: ground the claim, protect non-compensatory floors, bound ruin, test whether the structure can stand, then rank only the survivors.
A later stage cannot rescue an earlier failure. A high score cannot repair an unsupported claim, buy a rights violation, average away ruin, or make a structurally non-viable option selectable.
Core v12.6 · SGP v8.5 · build 2026.08.15.3
Start with a five-minute visual guide, the human story, or the governing sources. Full technical packages and verification materials live on GitHub.
Five visual pages that make the whole public logic holdable: 3R, qualify-then-rank, the five levels, the 7×7 coverage field, a worked option-elimination example, and the claim boundary.
Website explainer v1.0 · 5 visual pages · informative, non-normativeThe technical-public bridge: why the architecture exists, what each layer does, what it does not claim, and how to read the full Core.
v4.4 · 28 pagesThe warm public doorway: lived origin, 3R, the 1–2 method, Union scopes, worked examples, SGP, practice, and the larger horizon.
v5.6 · Illustrated readerThe architecture is now in stabilization: the emphasis shifts from speculative feature growth toward replay, measurement, disagreement, falsification, pilots, and public challenge.
Reality Grounding controls claim authority. Rights, tail risk, and structural viability determine the selectable set. RLS ranks only that set. If evidence cannot support a deterministic result, refusal is a legitimate output.
RGGround evidence, unknowns, causal pathways, configuration, and the strongest supportable claim.
RF/NCRCProtected floors are non-compensatory. Welfare elsewhere cannot purchase a rights breach.
TRCRuin-class and irreversible exposure are governed separately from ordinary expected benefit.
CSVContainment, dependencies, execution feasibility, repair, reversibility, governance, and future option space.
RLSResidual welfare ranking across the qualified set only. Uncertainty can force refusal.
RF/NCRC = Rights Floor / Non-Compensatory Rights Constraint. A failed protected floor is removed from ordinary trade-off arithmetic rather than “paid for” by benefits elsewhere.
Fixed illustration only. Not a live calculator, a validated result, or authority to act.
The grid is a coverage discipline. It makes omitted stakeholders, exported costs, and missing dimensions harder to hide. It does not pretend the world is reducible to 49 boxes.
One ecosystem; distinct authority. Connection does not imply validity inheritance. Each work carries its own role, version, evidence burden, and claim boundary.
The principal specification for qualification, rights, tail risk, structural viability, the 7×7 field, RLS, refusal, and decision-to-action boundaries.
v12.6 · 277 pagesEvidence-governed moral patienthood, full protection, participation, stewardship, intelligence capacity, and reality-management capacity across substrates.
v8.5 · 55 pagesHuman-interface and orchestration: one evidence graph, independent review, replay, exports, progressive disclosure, and bounded automation.
v0.8 · candidate implementation companionA rights-protecting assurance protocol for comparing high-impact decision frameworks while permitting adverse and non-superiority findings.
v6.2 · 12-page article + 104-page protocol · canonical registry, test vectors, SHA-256 manifestsA claim-level assurance architecture for AI-mediated higher education: what competence is claimed, what evidence supports it, and what may legitimately follow.
v6.5 · 87 pages · JSON assurance-record schema and validatorAuthority rule. Canon and SGP govern their declared domains. MHIOS implements without adding a cascade stage. Auditable Flourishing evaluates without inheriting MathGov validity. AIAP is a domain application with its own validation burden. Research papers provide arguments and hypotheses, not hidden operational authority.
SGP helps determine who or what requires protection, participation, representation, or role-specific scrutiny. RippleLogic evaluates candidate actions. SGP is a companion to the cascade, not an extra gate.
SGP separates six questions often collapsed into one. Its purpose is not to produce a consciousness percentage; it is to govern evidence and protection under uncertainty while blocking capacity-to-authority leakage.
MPSMoral Patienthood SurfaceEvidence of welfare-bearing experience.FPPFull Protection PlateauFull rights-of-protection; every human person is FPP-100 by constitutional commitment.GPRGovernance Participation ReadinessHow a being can participate or be represented.SPRStewardship / Power ReadinessFitness for a specific consequential role.ICPIntelligence Capacity ProfileCapability and cognition, not moral worth.RMCPReality-Management Capacity ProfileIntegrated capacity to model and shape reality; capacity is not authority.Human FPP-100 is constitutional, not measured. Humanity’s collective RMCP-P100 anchor is a capacity reference, not a ranking of worth, wisdom, or legitimate power.
v5.6 · Illustrated Publication Edition · synchronized to Core v12.6 / SGP v8.5
“Love, if it is going to survive pressure, needs structure.”
The book begins with lived experience and moves into the 3R doorway, MathGov 1–2, Union scopes, the five-stage cascade, worked decisions, SGP, the practice loop, and the wider philosophical horizon. It teaches the method without replacing the governing sources.
From Discretion to Disciplined Judgment
A public-facing application of MathGov to governance: mathematics as a discipline for making assumptions, rights floors, catastrophic risks, implementation constraints, and wider consequences visible, not as a substitute for democratic authority.
James McGaughran · 13 August 2026
These works deepen empirical, philosophical, and frontier questions around MathGov. They inform the research programme but do not govern the Core.
Two linked papers separate empirical claims about relational constitution from the normative move toward Union-Based Ethics.
Boundary. They do not establish universal relationality, metaphysical oneness, or MathGov effectiveness.
Qualification, moral status, action binding, successor integrity, epistemic discipline, and evidence-aware coordination across human, institutional, machine, and hybrid intelligence.
v2.4 · 44 pages · publication-readyGoverning sustained-suffering risk under moral-patient uncertainty without pretending uncertain sentience has been proved.
Working Paper v1.1 · 23 pagesA three-layer research framework for consequence-sensitive task routing under uncertain readiness. Complete as a research framework; not validated guidance.
v1.6 · 33 pagesMathGov treats its own architecture as challengeable. The appropriate next move after specification is not declaring victory; it is exposing assumptions, testing replay, measuring disagreement, publishing adverse findings, and revising only when reality earns the revision.
A framework that asks others to expose assumptions, evidence state, uncertainty, and authority should expose its own.
Verify the current evidence state: Core validation status ↗ · MHIOS validation report ↗ · AF known limitations ↗ · AF verification steps ↗ · AIAP release notes ↗
No. RLS is downstream. RG, RF/NCRC, TRC, and CSV determine which options may enter ordinary ranking. A later score cannot rescue an earlier failure.
No. SGP governs evidence and protection under uncertainty. It separates moral patienthood, full protection, participation, stewardship, intelligence capacity, and reality-management capacity rather than turning them into one “being score.”
No claim of empirical superiority is made by the current Core release. Internal release verification establishes conformance within declared tested surfaces. Independent replay, inter-rater studies, measurement work, and bounded pilots remain necessary.
No. Selection, legitimate authority, physical or causal admissibility, execution conditions, monitoring, and requalification are distinct. A consequence interface is not legitimate authority.
The website carries the main reading artifacts. GitHub carries the full audit surface: companion standards, schemas, validators, workbooks, examples, test vectors, hashes, release reports, and history.
MathGov Core and MHIOS use their stated open-source licences. Other works retain the licence or copyright terms declared in their own packages.
Don’t just believe RippleLogic. Test it. Use it. Apply it. Try to break it.
Use RippleLogic on real decisions: hard trade-offs, social dilemmas, institutions, technologies, public choices, family choices, and the decisions that shape our shared future.
Challenge it hard. Find where the evidence is thin, where a gate misfires, where the burden is too high, or where a simpler method works better. Improve what can be improved. Keep what survives scrutiny.
The practical aim is simple: reduce avoidable harm, expand durable benefit, protect non-compensatory rights, and stop exporting costs to someone else, somewhere else, or some future generation.
Ground the claim, protect the floor, test ruin and viability, then compare only the options that survive. Record what changes when the method meets a real problem.
Look for omitted stakeholders, weak evidence, hidden assumptions, brittle thresholds, false certainty, excessive burden, and cases where RippleLogic adds no value. A failure found honestly is useful evidence.
Seek outcomes that protect rights and widen flourishing without shifting severe costs onto less powerful people, distant communities, other beings, or future generations.
Prosper. Flourish. Help others flourish.
That is the goal: not perfection, not obedience, and not ownership of the compass. Better decisions that remain open to evidence, challenge, repair, and learning.
Now is the time. We are Ripple Aligners.
Teaching and publication visuals explain; governing sources control exact technical meaning.