A recent study by Cornell University researchers has revealed that large tokenholders, known as 'whales,' compromise voting privacy in Decentralized Autonomous Organizations (DAOs). The study, which analyzed 3,844 votes across 31 DAOs, found that even with secret ballots, voting patterns could be inferred, particularly in smaller DAOs. The researchers suggest introducing 'noise' to vote tallies to deter bribery, although they acknowledge that concentrated voting power limits this method's effectiveness. They recommend that DAOs focus on reducing whale influence and enhancing privacy protections for whale voters.