# Tokenomics Update: One Quarter of On-chain data

**URL:** https://forum.cosmos.network/t/tokenomics-update-one-quarter-of-on-chain-data/17037
**Category:** Hub Unit
**Created:** [June 10, 2026, 12:49am UTC](https://forum.cosmos.network/t/tokenomics-update-one-quarter-of-on-chain-data/17037 "2026-06-10T00:49:15Z")
**Posts on this page:** 1
**Showing post:** 5

<div class="post-metadata">

### Author: ![lars.andersen](https://avatars.discourse-cdn.com/v4/letter/l/46a35a/32.png) [@lars.andersen](https://forum.cosmos.network/u/lars.andersen)
#### Post date: [June 13, 2026, 6:33am UTC](https://forum.cosmos.network/t/tokenomics-update-one-quarter-of-on-chain-data/17037/5 "2026-06-13T06:33:56Z")

</div>

Reading the OP, the thing that gets glossed over in most Cosmos discussions about Tokenomics Update: One Quarter of On-chain data is the heterogeneity between zones. The IBC numbers and the staking-ratio numbers are usually aggregated across all hub-connected chains, which papers over the fact that the median zone has a totally different fee-market, validator-set, and slashing-history than the Hub. So when someone proposes a parameter change “for Cosmos”, in practice the impact is concentrated on whichever subset of zones run a custom ICS or a custom fee-token.

From an applied-stats angle, the empirically interesting question is how correlated validator slashing events are across zones once shared-security and ICS-v2 are widespread. The early data from Neutron and Stride is small-sample, but the correlation already looks higher than the naive independence assumption would predict — same operator, same uptime issues, same client-version bug. If the proposal here doesn’t account for that correlation explicitly, the tail risk on the consumer chain is going to be worse than the per-validator-slashing-rate math suggests.

One concrete thing I’d want before this goes to vote: a sensitivity table showing the impact on staking-yield distribution under a 1-sigma vs 3-sigma slash event, conditional on the proposed parameter. The aggregate-yield number is easy to cherry-pick; the distribution tail is where the LP-side decisions actually get made. Happy to help model that if there’s appetite.

---

_[View the full topic](https://forum.cosmos.network/t/tokenomics-update-one-quarter-of-on-chain-data/17037)._
