This is fully possible in theory, because Cosmos Hub uses a flexible staking and reward distribution module
that can be adjusted via inflation parameters, rewards, and self-bond requirements.
The core idea — Nakamoto Bonus + 1/250 self-stake rule — is already solid, but it can be improved and made
more precise without significantly changing the structure:
Adjustments to the Nakamoto Bonus
-
Tiered distribution instead of fixed:
Instead of distributing 10% equally to all validators, give more to validators with lower VP
and less to medium/large ones.
This still prevents the snowball effect, but rewards small validators who contribute to consensus. -
Dynamic pool based on performance:
Only validators with uptime ≥ 99% and no slashing receive the bonus.
This reinforces responsibility and reliability.
Adjustments to the self-stake rule
- Instead of a fixed 1/250 for everyone:
Make it progressive: large validators require a slightly higher self-stake (e.g., 1/200),
while small validators keep 1/250.
This prevents large actors from creating multiple ghost validators with minimal risk.
Delegator considerations
- Clearly inform delegators that choosing small validators increases decentralization
and may improve their APR. - Possible extra incentives for delegators who choose validators with low VP,
preventing them from only chasing nominal yield.
Security and Sybil
- Keep the self-stake rule combined with the bonus, but add periodic verification:
- Detect sudden VP changes to prevent Sybil attacks.
- If a validator increases VP too fast without complying with rules, limit bonus access until regularized.
Visualization / Metrics
- Include real-time metrics in explorers and dashboards:
- “Current vs target Nakamoto coefficient”
- “Bonus impact per validator”
- This ensures transparency and community-audited policy.
Summary of improvements without changing the structure:
- Tiered bonus based on performance
- Progressive self-stake according to validator size
- Clear delegator incentives to support decentralization
- Monitoring sudden changes & Sybil mitigation
- Metrics dashboard and full transparency