A recent study by the Bank for International Settlements (BIS) highlights significant discrepancies in how crypto metrics are calculated. Researchers analyzed 100 billion blockchain records from Bitcoin, Ethereum, and Tron to determine the accuracy of common economic indicators.
The report reveals that Bitcoin onchain transfer value estimates can fluctuate by up to six times depending on the methodology used. This variance occurs because standard metrics often fail to account for change outputs, which return funds to the sender rather than representing a transfer.
The researchers also noted that Bitcoin's market capitalization can be up to four times higher than its realized capitalization. Furthermore, Ethereum presents unique challenges due to smart contracts; of 67.5 million active contracts, approximately 54 million could not be categorized.
Stablecoin analysis remains complex, as assets like USDT serve different functions across networks. In 2022, smart contracts held over 20% of USDT on Ethereum, compared to roughly 1% on Tron, suggesting that aggregating data across chains can obscure specific economic use cases.
The BIS concludes that current onchain indicators should be viewed as noisy approximations. Some providers, such as Visa, have begun using adjusted methodologies to filter out noise like bot activity and high-frequency trading to better reflect actual economic volume.
