Recently, people keep asking me "how to slow down on-chain data," but honestly, it's not necessarily the chain being slow; it's the data retrieval layer that's struggling. When you click on the frontend, it either goes through RPC or hits an indexer/subgraph; with RPC, rate limiting causes queues and retries, and with indexers, synchronization lag or high query pressure can temporarily return outdated block heights, making it look like funds suddenly stopped flowing. Especially during extreme fee periods, everyone is watching the data intensely, query volumes spike, and the lag becomes more obvious... My usual approach is pretty simple: for the same transaction, switch between two RPCs to check receipts, then compare the block height and event logs. Don’t jump to conclusions immediately when you see "reversal/continued congestion"; first, confirm whether the data is being slowed down by rate limiting.