According to @stocktalkweekly, the White House press secretary identified as Leavitt said October CPI and jobs data will likely never be released, posted on Nov 12, 2025; source: @stocktalkweekly. Traders should wait for confirmation or refutation on the U.S. Bureau of Labor Statistics release schedule for CPI and the Employment Situation before repositioning; source: U.S. Bureau of Labor Statistics. BTC and ETH historically experience elevated intraday swings around CPI and NFP prints, with short-dated implied volatility rising into these events; source: Deribit Insights, Kaiko Research. If key macro releases are withheld, rate-expectation proxies (CME FedWatch) and U.S. Treasury yields can dominate risk pricing and spill over to crypto beta; source: CME FedWatch, U.S. Department of the Treasury. Actionables: monitor the BLS press room, track DXY and 2Y/10Y yields, and consider hedging with short-dated BTC and ETH options to manage event risk; source: U.S. Bureau of Labor Statistics, U.S. Department of the Treasury, Deribit.

According to @KobeissiLetter, 40% of CPI items were estimated in September, up from 36% in August and versus a typical ~10%, meaning the share has roughly quadrupled over the last seven months (source: @KobeissiLetter). According to @KobeissiLetter, the Bureau of Labor Statistics filled missing price quotes with substitute pricing across roughly 200 product and service categories, making current CPI readings less representative of actual consumer costs (source: @KobeissiLetter). According to the U.S. Bureau of Labor Statistics, substitute pricing (imputation) uses prices from similar items or regions when a quote is unavailable and is part of the official CPI methodology during data collection gaps (source: U.S. Bureau of Labor Statistics). According to the Federal Reserve, inflation readings inform policy expectations, so heightened CPI measurement uncertainty can amplify rate and dollar volatility that transmits to crypto beta such as BTC and ETH around data releases (source: Federal Reserve).

According to Vitalik Buterin, there is an expectation that state differences and transaction instructions will have similar levels of entropy. The main practical difference lies in the space taken by transaction signatures. While techniques like SNARKs can reduce the space needed, they cannot be used to fault-prove a signature. However, Buterin suggests that BLS or other forms of signature aggregation could be beneficial in addressing this issue.

According to Vitalik Buterin, the entropy of state differences and transaction instructions in blockchain systems is fundamentally similar. However, a significant practical issue is that transaction signatures occupy substantial space. While SNARKs can reduce this space, they cannot provide fault-proof signatures. Buterin suggests that using BLS or other forms of signature aggregation could mitigate this issue by reducing the space needed for signatures.