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DocsResearchGreenpaper Series0x09 Governance Without Global Consensus

Governance Without Global Consensus

The original can be found at Zenon Developer Commons .

Status: Draft / Notes Non-normative Builds on: Incentives Under Partial Verification


Premise

In a bounded-verification system:

  • there is no single canonical truth
  • verifiers may disagree
  • disagreement may persist indefinitely

Governance must function despite this, not in spite of it.


Core Constraint

Governance decisions cannot rely on:

  • global state agreement
  • full historical visibility
  • synchronized participation

Any governance model assuming these properties is invalid at the edge.


What Governance Actually Means Here

Governance is not:

  • deciding truth
  • enforcing correctness
  • selecting a canonical history

Governance is:

  • coordinating behavior under uncertainty
  • defining acceptable refusal
  • managing evolution without coercion

Local Legitimacy

A governance decision is legitimate only within a verifier’s context.

Legitimacy requires:

  • verifiable inputs
  • explicit assumptions
  • bounded scope

There is no universal legitimacy.


Proposal Visibility

A governance proposal may be:

  • visible to some verifiers
  • invisible to others
  • visible at different times

Therefore:

  • participation is optional
  • absence is not opposition
  • silence carries no semantic meaning

Voting Under Partial Knowledge

Votes are valid only if:

  • the voting statement is verifiable
  • the voter’s identity is verifiable (within context)
  • the vote references a known proposal state

Votes outside the frontier are undefined.


No Absolute Quorum

Quorum cannot be global.

Instead:

  • quorum is contextual
  • quorum depends on the verifier’s observed participation set
  • quorum thresholds must be conservative

Failure to reach quorum is not failure of governance.


Fork-Tolerant Governance

Different verifier groups may:

  • accept different governance outcomes
  • diverge temporarily or permanently
  • reconcile later or never

This is allowed.

Governance must be fork-tolerant by design.


Governance Outcomes as Suggestions

Governance outputs are:

  • recommendations
  • policy signals
  • coordination hints

They are not mandates.

Execution remains voluntary and verifiable.


Enforcement Limitations

Governance cannot:

  • force execution
  • punish unverifiable dissent
  • override verification constraints

Any attempt to do so violates system safety.


Refusal Is a First-Class Action

Participants may refuse governance outcomes if:

  • proofs are missing
  • assumptions are unacceptable
  • context differs

Refusal requires no justification.


Upgrade Coordination

Protocol upgrades must:

  • be opt-in
  • be verifiable
  • allow coexistence with prior versions

Forced upgrades are incompatible with bounded verification.


Identity and Governance

Identity systems may assist governance, but:

  • identity does not grant authority
  • reputation is contextual
  • historical trust does not imply future correctness

Governance authority is never absolute.


Offline Governance Participation

Offline participants may:

  • miss votes
  • rejoin later
  • accept or reject past outcomes

Governance must tolerate delayed participation.


Failure Modes

Governance fails when it assumes:

  • universal awareness
  • enforced compliance
  • singular truth

These assumptions are invalid in this model.


Design Principle

Governance should aim to:

  • minimize harm from disagreement
  • allow peaceful divergence
  • enable gradual convergence

Not consensus at all costs.


Boundary Statement

There is no such thing as “correct governance” under bounded verification.

There are only acceptable coordination outcomes.

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