Pivotality: The influence of whales in DAO Governance#

Definition#

On a given proposal, whales are considered pivotal voters when, taken together, casting their votes altered the result. [1] [2].

Aims of this report#

This article aims to analyze the top 60 DAOs, ranked by treasury size to determine the impact of large token holders (whales) on their governance.

Our main contribution is the whale pivotality metric, representing how governance decisions in a given DAO are affected by whale votes.

In this report we produce:

  • The whale pivotality metric on each of the top 60 DAOs

  • On three proposals, a case study on the influence whales held over the outcome

For the purpose of this report, whales are defined as the top 5% voters in terms of voting power for a given proposal (voters with voting power at or above the 95th percentile of voting power for that proposal).

The whale pivotality metric is calculated for each DAO as the percentage of proposals, the outcome of which change once whale votes are not counted.

This report relies on on-chain data as well as Snapshot data about proposals and voters.
For more detailed data and case studies, check out our extensive report here.

This is a work in progress and will be updated as we learn more, so stay tuned!

Takeaways#

Out of 60 DAOs:

  • 5 of them (8%) have a whale pivotality metric > 20%

  • 16 of them (27%) have whale pivotality > 10%

In 16 DAOs, whales’ votes produced a different outcome than minority votes in 10 proposals of the last 100.

Reviewing proposals (in Decentraland, Curve Finance and Radicle) in detail, we hint at the reasons why whale votes diverge from minority votes. Namely:

  • Massive whale voting power dominance coupled with meager participation from minority holders

  • Divergence of interests

Calculations#

Below, a brief summary of calculations performed to build the whale pivotality statistics.

See the repository for more details.

Load data#

Load each voter’s choice and voting power for up to the last one hundred proposals in each DAO.

Compute score differences#

For each choice of each proposal, get:

  • Actual score.

  • Hypothetical score that would have been produced if whales didn’t vote.

Then compute if the outcome is different, meaning if the outcome would have been changed if whales didn’t vote.

Then compute, for each DAO, the changed outcome propotion among the last 100 proposals.

Synthesis#

For each DAO, show the percentage of proposals, the outcome of which would have changed if whales didn’t vote (_whale pivotality).

# of whales all voters whale pivotality
DAO
1inch Network 26 604 0%
Aavegotchi 47 5624 7%
Alchemix 49 2212 4%
Ampleforth 6 119 6%
Angle Protocol 17 475 10%
ApeCoin DAO 192 6812 12%
BadgerDAO 251 11169 5%
Cryptex 4 24 6%
Curve Finance 21 285 21%
Decentral Games 45 1540 17%
Decentraland 58 1665 27%
ENS 321 9742 4%
Euler 29 782 15%
Frax 1 340 4%
Gearbox 32 886 0%
Gitcoin 191 6309 12%
Hector Network 139 6554 6%
Hop 30 1506 4%
Instadapp 3 75 10%
JPEG’d 29 845 7%
Klima DAO 140 6503 0%
Lido 167 5060 6%
Magic Internet Money 56 1676 0%
Merit Circle 16 981 0%
Metronome DAO 1 9 0%
New Order 22 578 3%
Nexus Mutual Community Fund 3 198 17%
Notional Finance 7 149 0%
Pangolin Songbird 5 105 0%
Popcorn 8 249 14%
Qi Dao | Mai.Finance 51 4112 20%
Radiant Capital 244 4783 0%
Radicle 18 396 17%
Rally 1313 1531 0%
Redacted 11 369 16%
Rook 12 273 5%
Sarcophagus Ambassadors Voting 2 22 14%
Silo 8 316 3%
Spool DAO 3 57 0%
Stargate DAO 2479 65410 5%
SuperRare DAO 17 563 0%
Synapse Protocol 15 487 0%
Uniswap 813 23337 16%
Unlock Protocol 5 97 23%
Vesta 689 15382 12%
ssv.network 6 268 0%

Case studies#

Decentraland#

Proportion of Outcomes Changed:#

27% of Decentraland's proposal outcomes change after filtering out whale voting power.

Proposal Analysis:#

For example, this proposal to set a duration period for the tenure of Decentraland DAO committee members had pivotal whale votes; had whales not voted, the outcome would have been inversed.

  Yes No Invalid question/options
Scores 168338.2 1394610.4 0.0
Whale-only scores 166209.6 1392896.0 0.0
Non-whale scores 2128.6 1714.4 0.0

99.9% of voting power was attributed to whales, with 94.85% of proposal voting power allocated to voting for the proposal not to pass.

We also observe that non-whale voting power is very low in this proposal.

Curve Finance#

Proportion of Outcomes Changed:#

21% of Curve Finance's proposal outcomes change after filtering out whale voting power.

Proposal Analysis:#

Another proposal which would have passed if not for whale intervention is this proposal to add the XSTUSD-3CRV pair to Curve’s gauge controller to accrue CRV for liquidity providers of XSTUSD-3CRV. XSTUSD is a stablecoin deployed on Polkadot and Kusama that is backed by a synthetic token called XOR (Sora’s native token).

The governance discussion about the vote shows reckless promotion of XST.

Quite a few people had their concerns about XST early on.

We looked at the first 16 accounts which showed really strong support for this proposal, and almost every single one was created within 2 days of the proposal’s forum post. One can reasonably conclude that they were created for the sole purpose of “shilling”.

  Yes No
Scores 45352.6 529201.3
Whale-only scores 23463.0 511330.5
Non-whale scores 21889.6 17870.8

Just over 4% of voting power for this proposal was allocated by whales to vote “Yes” (which is just over half the total voting power allocated to the “Yes” choice for this proposal), whereas 89% of whale voting power was allocated to voting “No” (97% of total voting power for this choice).

Clearly, large token holders had an incentive not to let this proposal pass. It seems some such large CRV whales voted sensibly.

Just over 10% of whale voting power for this proposal was allocated to voting “Aye” on this proposal (27% of voting power allocated to the “Aye” choice came from whales). Whereas 45% of voting power from whales was allocated to the “Nay” choice (73% of whale voting power allocated to “Nay”).

Radicle#

Proportion of Outcomes Changed:#

17% of Radicle's proposal outcomes change after filtering out whale voting power.

Proposal Analysis:#

For Radicle, we look at this proposal to distribute RAD remaining following a Liquidity Bootsrapping (LBP) round conducted in February ‘21. This leftover RAD was proposed to be redistributed to participants of the LBP, i.e. people who bought RAD in this period from the Balancer LBP for RAD tokens.

  Aye Nay
Scores 78136.3 123126.4
Whale-only scores 20708.3 90218.7
Non-whale scores 57428.0 32907.8

Just over 10% of voting power for this proposal was allocated by whales to vote “Aye” on this proposal (27% of voting power allocated to the “Aye” choice came from whales). Whereas 45% of voting power that came from whales was allocated to the “Nay” choice (73% of whale voting power allocated to “Nay”).