Emission is not the same as inflation. Tokenomist defines emission as the net change in released supply: Inflation minus Deflation. A protocol that mints 10M tokens and burns 3M in the same period has a net emission of 7M tokens. This distinction matters because gross inflation overstates dilution when meaningful burn mechanisms exist. Tokenomist's emission framework divides analysis into two regimes with different methodologies: **Historical analysis** (TGE to today) tracks every inflation and deflation event that has occurred on-chain. This includes token unlocks (cliff events and linear vesting), staking rewards, ecosystem grants, governance distributions, and all recorded burns. The historical record provides a complete, verified picture of how released supply has changed over the project's lifetime. **Future projections** track only inflation — specifically, the known cliff and linear unlock schedules that are contractually committed or programmatically enforced. Future projections explicitly exclude burns because burn volumes depend on protocol activity, governance decisions, and market conditions, making them inherently unpredictable. Including speculative burn estimates in forward-looking models would overstate confidence in net deflation. This asymmetry is intentional. Cliff unlocks (a fixed quantity of tokens releasing on a specific date) and linear vesting (a steady stream of tokens releasing over a defined period) are deterministic — the schedule is set at TGE or by governance vote. Burns, staking rewards, and discretionary grants are stochastic. By separating deterministic future supply from speculative offsets, Tokenomist's projections give you a conservative upper bound on forward dilution. Tokenomist's Emission Screener lets you filter and rank projects by net emission rate, upcoming cliff events, and emission-to-market-cap ratios across the entire tracked universe. The Emission Comparison tool places projects side by side for normalized analysis. The Crypto Market Emission view aggregates emission data across the market to show sector-level trends in supply growth.