Using decentralized science (DeSci) platforms, such as those for funding research or publishing data on-chain, engages you with a niche but growing Web3 sector. Actions like funding projects, minting research NFTs, or staking on scientific outcomes are unique on-chain signals. This demonstrates a user profile beyond typical DeFi speculation. For a potential airdrop from a DeSci protocol, such activity would be the primary qualification criterion, rewarding those who actively use the platform for its intended purpose.
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What's the correlation coefficient of slashes between AVS types? Different AVS categories show moderate correlation (0.3-0.5) during normal operations, spiking to 0.7-0.9 during systemic crises. Data availability layers and oracle networks demonstrate lower mutual correlation (0.2-0.4) than similar services. Bridge AVSes show the highest correlation with broader market conditions due to their asset-heavy nature. This variance enables effective risk diversification through strategic AVS selection.
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What’s the correlation coefficient of slashes between AVS types? The correlation coefficient of slashing events between different AVS types is a vital measure of systemic risk, but it is not yet a known, published statistic. The ideal coefficient is close to zero, indicating that slashing on one AVS (e.g., a data availability layer) is independent of slashing on another (e.g., a bridge). A high positive correlation would be alarming, suggesting a common root cause—such as a global internet outage, a bug in a shared underlying library, or a problem with the EigenLayer core contracts—that can cascade through the entire ecosystem. Measuring this coefficient will be a key function of network health dashboards and will directly influence how insurers and operators model and price risk across their portfolio of services.
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