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NV-22 — Trust Collapse: Bind Deletion in Social Contracts (Coordination Cost Explosion) (Almost-Code Canonical) v1.0

When trust binds delete, everything becomes expensive, slow, and fragile.

Summary (Canonical)

Trust is a lattice bind that reduces coordination cost.
Trust collapse occurs when repeated divergence, bypass, and enforcement drift delete the expectation that rules and promises mean what they say.
Then coordination shifts from cooperative routing to defensive routing:

  • more verification
  • more monitoring
  • more conflict
  • more delay
  • less regeneration throughput (Ġ)

Trust collapse is a major accelerator of slow attrition drift and a trigger amplifier for cascades.

1) The Root Error (Negative Void)

The absent function

Missing: reliable, shared social contracts.

Trust requires:

  • consistent enforcement
  • truth-protection
  • predictable norms
  • aligned incentives
  • low semantic noise (shared meanings)

When these fail, trust is rationally withdrawn.

2) Core Mechanism (Bind deletion → coordination load)

Let:

  • (T) = trust bind strength (0–1)
  • (C_{coord}) = coordination cost
  • (V) = verification overhead
  • (F) = conflict frequency
  • (Ġ) = regeneration throughput

As trust falls:
[
T\downarrow \Rightarrow V\uparrow,\ F\uparrow,\ C_{coord}\uparrow \Rightarrow Ġ\downarrow
]

This is the same as increasing “friction” in a network: throughput drops.

3) Observable Signs

Z0 (individual)

  • constant suspicion
  • asks for proof for everything
  • avoids collaboration
  • hoards resources “just in case”

Z2 (institution)

  • audit explosion
  • paperwork and approvals multiply
  • internal politics rises
  • initiative speed drops

Z4 (nation)

  • contract enforcement weak
  • business costs rise
  • corruption becomes “necessary”
  • people exit (brain drain), further thinning HRL

4) Trust Collapse Corridor

  1. Overt–covert divergence widens (NV-19)
  2. Gate bypass becomes normal (NV-20)
  3. Enforcement becomes selective (NV-21)
  4. People stop believing statements and rules
  5. Verification overhead rises
  6. Coordination speed drops
  7. Repair latency rises above stress cycle length (NV-11)
  8. Drift becomes baseline (Mode II)
  9. Shock triggers fast cascade

5) Hidden Fragility (Why “more rules” can worsen it)

When trust collapses, leaders often respond with:

  • more rules
  • more forms
  • more approvals

But without enforcement integrity, more rules add:

  • more semantic noise
  • more exceptions
  • more bypass opportunities

So the system becomes slower and more corrupt.

6) Failure Mode Trace (Required)

Rule divergence + bypass + selective enforcement → trust binds delete → verification overhead explodes → coordination cost rises → repair latency rises → regeneration throughput falls → Mode II drift → shock → cascade.

7) Safety Conditions (Prevent NV-22)

To prevent trust collapse:

  1. Overt–covert alignment (rules match enforcement)
  2. Predictable enforcement (equal application)
  3. Truth-protection (safe reporting)
  4. Low semantic noise (definition locks for core terms)
  5. Gate integrity (no pay-to-bypass routing)
  6. Repair visibility (publicly visible correction loops)

Trust is rebuilt by reliable actions, not speeches.

Almost-Code Spec Block (Copyable)

NegativeVoid.NV22.TrustCollapse.BindDeletion.v1.0

Negative Void:
  Trust binds delete due to repeated divergence/bypass/selective enforcement
  Missing: reliable social contract + enforcement integrity + truth channels
Model:
  T := trust bind strength
  if T decreases -> verification overhead V increases + conflict F increases
  -> coordination cost C_coord increases -> repair latency increases -> Ġ decreases
Failure Mode Trace:
  divergence+bypass+selective enforcement -> T↓ -> V↑ -> C_coord↑ ->
  T_repair↑ -> Ġ↓ -> Mode II drift -> shock -> cascade
Safety Conditions:
  overt-covert alignment + predictable enforcement + truth-protection +
  definition locks + gate integrity + visible repair loops

FAQ (Short)

Q1: Can trust be “forced”?
No. Trust is a rational response to predictable integrity and repair behavior.

Q2: What’s the quickest early indicator?
Rising verification overhead: more approvals, more forms, more audits, slower decisions.

Q3: How does trust connect to Civλ?
Low trust reduces coordination throughput and increases role/pipeline failure, raising effective decay.

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