Tangem Wallet Pack of 2 - Secure Crypto Wallet - Trusted Cold Storage for Bitcoin, Ethereum, NFT's &

Tangem Wallet Pack of 2 - Secure Crypto Wallet - Trusted Cold Storage for Bitcoin, Ethereum, NFT's &
Key item features Ultimate Security: Generates a private key that remains on the card, safeguarding crypto and NFTs from hackers with EAL6+ certification and audited firmware. Versatile Compatibility: Manages over 13,000 tokens across 70+ blockchains, supporting DeFi, NFTs, and DeEx without wires, Bluetooth, or USB. Effortless Operation: Utilizes NFC for secure transactions via a mobile device and the Tangem app, enabling buying and selling crypto with various payment methods. Smart Backup: Features a second Tangem Wallet as a backup, eliminating the need for paper, pictures, or seed phrases for recovery. Durable Design: Boasts IP68 protection against environmental conditions, ensuring longevity and robust physical security. Comprehensive Support: Compatible with Bitcoin, Ethereum, Solana, XRP, USDT, and over 6,000 cryptocurrencies, integrating with dApps and WalletConnect.

LBANK

LBANK

Has anyone empirically measured bot reaction time and fee-bidding when sweeping anyone-can-spend outputs?

The classic empty-redeemScript P2SH example address 3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy (HASH160 of an empty script) is anyone-can-spend, and funds sent to it get swept. Anecdotally these sweeps land in the same block the funding confirms, with the winner overpaying fees many-fold.

Has anyone published an empirical measurement of (a) the reaction-time distribution (funding → sweep) and (b) the fee-overpayment / RBF fee-auction among competing sweepers for anyone-can-spend outputs (P2SH empty-script, bare OP_TRUE, Lightning anchors, etc.)? I can only find scattered forum mentions, no systematic study. Pointers to prior work appreciated before I write up my own measurements.



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