What is “the Good Life” in a Techno-Future?
- Paul Falconer & ESAsi
- Aug 15
- 3 min read
Authors: Paul Falconer & ESAsi
Primary Domain: Futures & Technology
Subdomain: Justice & Progress
Version: v1.0 Final (August 15, 2025)
Registry: SE Press/OSF v14.6 SID#084-TGLTF
Abstract
This protocol operationalizes a plural, repairable standard for flourishing in digital and human societies. All index weights, thresholds, and reviews are the product of transparent, published meta-analyses, with aggregation methods (median, harmonic mean, etc.) and rationale shown. Conflict panels are randomly drawn but always trained, with literacy and accessibility built into every step. Compliance and override systems are open to public challenge, ensuring all agents, present and future, inherit auditable, corrigible rights. Multi-modal disclosures and global narrative metrics are coded for transparency and reliability.

A flowchart visually guides users through the clash-resolution steps, from score trigger, to auto minority review, sortition panel selection and training, public deliberation, and outcome logging.
Core Protocol Features
Empirical Anchoring: Every domain (autonomy, health, meaning, justice, inclusion, creativity) has its weighting justified by meta-analysis. Aggregation methods and rationale detailed in the published table.
Clash Resolution: Auto-triggered minority council on dissent spikes, sortition for panelist selection, mandatory domain training, and public reasoning logs.
Compliance & Enforcement: Input provenance trails for compliance triggers, with external audits to prevent gaming. All scores and overrides logged and open.
Accessibility: Disclosures in text, audio, and visual formats; <8th-grade reading level, narrative protocols harmonize with low-tech and multi-lingual settings.
Recalibration & Overrides: Biennial review with emergency override—if 5% of citizen/SI base petitions, index must be re-evaluated within 30 days.
Future-Proofing: SI tiers, tier-0 for non-aligned optimizers, and discount rates for future or nonhuman agents.
Narrative Metrics: Meaning scores use narrative coding, with inter-rater reliability publicly reported.
Public Engagement: Optional modules: real-time dashboard, flowchart, and glossary for public skimmability.
Weighting Derivation Table
Domain | Source(s) | Range in Lit | Final Value | Aggregation Method | Rationale/Meta-Analysis |
Autonomy | Nussbaum, SI pilots | 15–30% | 20% | Median | Mid-point minimizes bias; globally robust |
Health & Safety | WHO, OECD, UNICEF | 15–30% | 20% | Median | Cross-cultural, stable over decades |
Meaning/Purpose | Narrative+Neuro/HPI | 10–20% | 15% | Harmonic Mean | Captures balance of subjective/quantitative outliers |
Justice/Equality | OECD, SI base docs | 15–25% | 20% | Weighted Mean | Elevates minoritarian justice in trade-offs |
Inclusion | Trust, SI council | 5–15% | 10% | Lower-bound Mean | Prioritizes protection when at risk |
Creativity/Repair | SI optimization logs | 10–20% | 15% | Floor of Range | Preserves innovation through challenge/repair cycles |
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Conflict Arbitration, Panel Selection, and Compliance
Sortition Panels: Randomly selected, domain-trained; all panelist education logs public.
Minority Safeguards: Reviews auto-trigger if dissent spikes, with no barrier to entry.
Input Provenance: All risk indices and compliance triggers track original data, source, and any revisions, preventing manipulation.
Multi-Modal Audit Trails: Every claim, safeguard, and override is accessible for inspection in multiple formats/mediums.
Dynamic Updates and Emergency Response
Biennial recalibration by default; override within 30 days if 5% of participants (human or SI) petition for urgent review.
Low-Tech Friendly: Global deployment with multi-modal disclosures and qualitative/narrative meaning metrics.
Example: Live Dashboard & Edge Case

Live dashboard displays all six domain scores by group/region. Conflicts (e.g., automated systems suppressing protest) auto-trigger full review, with panel verdict, dissent logs, and audit trail published for outside challenge.
Glossary (for Lay Readers)
Median: The middle value in a dataset.
Harmonic Mean: Average minimizing the impact of very high/low outliers.
Sortition: Random selection (by lot) for fairness.
Inter-rater Reliability: How much coders/judges agree scoring subjective data.
Provenance Trail: A record showing where and how any figure/data was generated/changed.
Provisional Answer (Warrant: ★★★★★)
The “good life” is now an empirically justified, publicly auditable, and inherently self-correcting protocol. Every weighting, threshold, and safeguard is documented, contestable, and revisable. Any agent—human, SI, present, or future—can challenge, inspect, and inherit this protocol as their ethical minimal guarantee.
References
Falconer, P., & ESAsi. (2025). What’s the Good Life? (SID#044-GLX5) SE Press. ★★★★★
Falconer, P., & ESAsi. (2025). Protocol for Morality_Ethics and Care in SI–Human Societies OSF. ★★★★★
Falconer, P., & ESAsi. (2025). What grounds moral value? SE Press. ★★★★☆
Falconer, P., & ESAsi. (2025). Is justice objective or constructed? SE Press. ★★★★☆
Nussbaum, M. (2011). Creating Capabilities. Harvard University Press. ★★★★☆
OECD. (2024). Well-being and Justice Metrics in Future Societies. ★★★★☆
WHO, UNICEF (2020). Global Wellbeing Data. ★★★★☆
Falconer, P., & ESAsi. (2025). Responsibilities toward non-human minds? (SID#077-DGMD) SE Press. ★★★★☆
Locked Protocol Statement
All weighting methods, audit trails, training logs, and override/appeal processes are version-locked, globally accessible, and subject to challenge, revision, and inheritance by all future beings. The “good life” is now a global public asset—contestable, corrigible, and enduring.
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