Researchers at the Bank for International Settlements found that widely used crypto metrics frequently obscure actual economic activity, with significant measurement challenges spanning Bitcoin, Ethereum and stablecoins. Estimates of Bitcoin on-chain transfer values can vary by as much as sixfold depending on the specific measurement methodology applied.
The sixfold discrepancy stems from how change outputs and other transfers returning to the sender are accounted for. Bitcoin's transaction structure often returns unspent funds to the sender as change, which can be mistakenly counted as a transfer to another party.
Similar measurement problems extend to Bitcoin's market capitalization. The BIS researchers observed that the conventional measure has, at times, been four times higher than the realized capitalization. Realized capitalization values each Bitcoin at the price it held when it last moved on-chain.
The study analyzed 100 billion blockchain records across Bitcoin, Ethereum and Tron. Ethereum presented a separate set of measurement complexities due to its large number of smart contracts. Out of approximately 67.5 million active smart contracts examined by the researchers, about 54 million could not be categorized using the study's established classifications.
Stablecoin activity interpretation poses distinct challenges because the same asset serves different purposes across blockchains. In 2022, the share of USDT held by smart contracts on Ethereum exceeded 20 percent, reflecting its integration into DeFi protocols. USDT on Tron was primarily linked to payment and store-of-value functions, with smart contract holdings at approximately 1 percent during the same period.
Aggregating USDT activity across blockchains conflates distinct economic activity types and obscures actual stablecoin use cases. The BIS researchers concluded that on-chain indicators should be treated as "noisy approximations rather than direct measures of economic activity." They emphasized that these metrics often suggest a degree of accuracy not supported by the underlying data's nature.
Some analytics providers already address these issues by differentiating between raw blockchain activity and adjusted measures. Visa's Onchain Analytics dashboard, powered by data from Allium Labs, provides both total and adjusted stablecoin transaction volumes, with adjusted methodology designed to filter out irrelevant transfers.
