Galaxy Research Proposes Dynamic Voting Model to Tackle Solana Inflation

In a bid to improve Solana’s monetary policy, Galaxy Research has introduced a novel governance proposal aimed at adjusting how the network determines inflation rates for its native token, SOL.

Unveiled on April 17, the proposal—called Multiple Election Stake-Weight Aggregation (MESA)—presents a more adaptive voting system that enables validators to choose from a range of deflationary options rather than being constrained to binary “yes” or “no” votes. 

This marks a significant shift in how decentralized protocol governance could function.

Solana

Why Solana’s Inflation Model Needs Reform

Solana’s current inflation schedule was designed to incentivize early staking and secure the network. 

It begins at 8% annually and declines by 15% each year until it stabilizes at a terminal rate of 1.5%. According to Solana Compass, the current inflation rate stands at 4.6%, with approximately 64.7% of the SOL supply—about 387 million tokens—currently staked.

Also read: Yield Farming vs Staking: Key Differences Explained

While this model has served its initial purpose, many stakeholders now believe it requires updating. Concerns have grown that prolonged inflation could distort validator incentives, devalue the token, and negatively impact long-term holders.

This sentiment led to SIMD-228, a prior proposal aimed at replacing the fixed inflation model with a dynamic, market-responsive approach. 

Despite widespread support for lowering inflation, the binary structure of the vote prevented consensus on specific parameters—ultimately causing the proposal to fail.

How Galaxy Research Proposes a Solution

Galaxy Research’s MESA addresses this limitation by introducing a spectrum-based voting mechanism. 

Instead of voting on a single proposal, validators can allocate their voting power across multiple deflation rate options. The final result is calculated as a weighted average of all votes cast.

Also read: Altcoins with High Staking Rewards: Earn Passive Income in Crypto

For example, if 5% of votes support no change, 50% vote for a 30% reduction, and 45% support a 33% reduction, the resulting deflation rate would be 30.6%. This model captures nuanced community preferences while maintaining the terminal inflation target of 1.5%.

Benefits of MESA Over Binary Voting

The advantages of Galaxy Research’s MESA are multi-fold:

  • More expressive voting: Validators can convey detailed preferences rather than binary choices.
  • Fewer failed proposals: The need for multiple rounds of voting is eliminated.
  • Economic alignment: Decisions better reflect validator incentives and network conditions.
  • Predictability: The long-term inflation curve remains fixed and reliable.

Beyond Solana, MESA could become a model for other Layer-1 networks—such as Ethereum, Cosmos, or Polkadot—where complex governance structures often lead to stagnation. 

If successfully implemented, Galaxy Research’s MESA could demonstrate how more flexible, data-driven governance mechanisms might revitalize decentralized decision-making.

Also read: How to Buy Solana: A Step-by-Step Guide for Investors

The proposal still requires robust community backing, thorough technical review, and successful navigation of Solana’s on-chain governance process. 

But if adopted, MESA could mark a turning point in how blockchain protocols approach governance—balancing adaptability with stability in an increasingly dynamic crypto ecosystem.

Author

  • Steven's passion for cryptocurrency and blockchain technology began in 2014, inspiring him to immerse himself in the field. He notably secured a top 5 world ranking in robotics. While he initially pursued a computer science degree at the University of Texas at Arlington, he chose to pause his studies after two semesters to take a more hands-on approach in advancing cryptocurrency technology. During this period, he actively worked on multiple patents related to cryptocurrency and blockchain. Additionally, Steven has explored various areas of the financial sector, including banking and financial markets, developing prototypes such as fully autonomous trading bots and intuitive interfaces that streamline blockchain integration, among other innovations.

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Steven Walgenbach

Steven's passion for cryptocurrency and blockchain technology began in 2014, inspiring him to immerse himself in the field. He notably secured a top 5 world ranking in robotics. While he initially pursued a computer science degree at the University of Texas at Arlington, he chose to pause his studies after two semesters to take a more hands-on approach in advancing cryptocurrency technology. During this period, he actively worked on multiple patents related to cryptocurrency and blockchain. Additionally, Steven has explored various areas of the financial sector, including banking and financial markets, developing prototypes such as fully autonomous trading bots and intuitive interfaces that streamline blockchain integration, among other innovations.

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