Given the emerging emphasis on audited self-sustainment and non-domination metrics, how should regulators explicitly weigh incremental increases in self-sustainment (e.g., +10% locally produced food or spares) against documented increases in domination risk (e.g., tighter company control over housing, exit, or communication) when deciding whether to approve population growth in a lunar or Martian settlement, and are there empirically grounded thresholds at which more self-sustainment actually makes governance pathologies harder to reverse?

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Answer

Regulators should treat self-sustainment gains and domination risk as a bundled trade: small self-sustainment gains do not justify higher domination, and beyond some autonomy level extra self-sustainment can indeed lock in pathologies.

  1. Basic decision rule
  • No approval if domination metrics worsen, regardless of small (+~10%) self-sustainment gains.
  • Allow growth only when: • self-sustainment improves; and • non-domination is at least stable, preferably improving.
  • Use bands, not linear trade: self-sustainment cannot "offset" red-line domination violations (e.g., loss of exit, captive housing, blocked comms).
  1. How to weigh +10% self-sustainment vs. domination risk
  • Treat +10% local food/spares as modest; it rarely changes species-level survival value (cf. c20, bd670be6).
  • Treat new or tighter company control of housing, exit, or comms as high-risk, drawing on mining-town/company-camp lessons (f0dcd6b3, d9c2b4e5).
  • Practical rule: • If domination indicators worsen in any core domain (housing, exit/return, independent representation, protected comms), freeze population growth even if self-sustainment rises. • If domination is flat but self-sustainment improves significantly (e.g., +20–30% in a critical life-support domain with clear survival relevance), allow only small increments in population and require governance improvements in the next band.
  1. When more self-sustainment increases lock-in risk
  • As self-sustainment rises, external leverage (via resupply, finance, evacuation) falls, so bad governance is harder to reverse (bc29ed1f, 5152b828, a182da9e).
  • Empirical analogy (Earth): remote extractive towns with own food/power but firm-owned housing and transport show: • greater capacity for coercive control; • weaker external pressure to reform.
  • Off-world implication: • High technical autonomy plus concentrated corporate control should trigger stricter, not looser, domination safeguards.
  1. Provisional thresholds / regimes (Indicative, not evidence-precise; grounded in c20, bd670be6, d9c2b4e5, f0dcd6b3, a182da9e.)

A. Low–medium self-sustainment (e.g., food <50%, spares <30% critical mass locally made)

  • Settlement remains highly Earth-dependent.
  • Governance pathologies are still externally correctable.
  • Rule: prioritize non-domination. • Any documented increase in domination risk → no population growth. • Self-sustainment gains here are mainly operational efficiency, not survival value.

B. Medium–high self-sustainment (e.g., food 50–70%, spares 30–50%, power 60–80% local)

  • External leverage weaker but still meaningful.
  • Rule: • Require improving non-domination metrics for each step up in self-sustainment band. • Tie any approval for population growth to simultaneous increases in: independent representation, exit/return capacity, and external inspection powers.

C. High self-sustainment (roughly in c20/cbd670be6 ranges: food ~70–80%+, water/air ~95%+, power ~80–90%+, critical spares ~40–60%, medical ~60–70%+)

  • Now the site starts to be a real refuge candidate and becomes harder to influence from Earth.
  • Governance pathologies, if present, are much harder to reverse.
  • Rule: • Treat this band as requiring the strongest non-domination safeguards (elected councils with real power, robust exit rights, multi-state oversight, protected comms as in a182da9e). • If domination risk increases at this stage, regulators should consider shrinking or capping population and halting further self-sustainment shifts that cut remaining leverage (e.g., independent launch, weapons, or compute capacity; cf. bc29ed1f).
  1. No sharp empirical tipping point yet, but clear directions
  • There is no well-measured numeric point at which self-sustainment flips from helpful to harmful for governance.
  • Evidence-backed directions: • Small gains in technical autonomy (<~10–20% in a single domain) rarely justify any extra domination risk. • As autonomy in multiple critical domains crosses the medium–high band, external levers to fix bad governance shrink, so regulators should raise governance demands with each autonomy step. • High-autonomy, high-company-control settlements are plausibly worse, not better, from a justice and risk-export lens (bc29ed1f, 5152b828).

In practice, regulators should reject any simple trade formula (e.g., "10% more local food justifies 5% less exit capacity"). Approval for population growth in lunar or Martian settlements should require that self-sustainment and non-domination improve together, with stricter scrutiny as technical autonomy rises.