Bitcoin transaction values vary by up to a factor of six
A Bank for International Settlements working paper shows that public blockchain indicators produce distorted economic metrics, with Bitcoin transaction values varying up to sixfold depending on methodology. The study analyzes 13 million contracts across Bitcoin, Ethereum and Tron.
A sixfold divergence in ledger data
Evaluating public blockchain data requires filtering out technical execution artefacts to capture actual financial volume.
The researchers examined transaction data from the Mercurius platform covering Bitcoin, Ethereum and Tron, identifying 13 million active smart contracts and roughly 1.4 million tokens.
Trading activity remains heavily concentrated and centered around stablecoins.
Crucially, the economic role of the same stablecoin diverges sharply across networks: Ethereum activity predominantly involves smart contract interactions, whereas Tron users mostly hold stablecoins outside smart contracts for payments and value storage.
Without adjustments, raw on-chain transaction values vary by up to a factor of six.
Architecture clouds economic reality
The paper isolates three structural drivers behind on-chain measurement errors: the aggregation of transactions in distributed ledgers, the unrestrained programmability of spurious smart contracts, and the poor comparability of use cases across chains.
Simple aggregations routinely conflate technical operations with genuine financial transfers.
To address this, the authors propose a framework using explicit technical classifications, bounded estimates and disaggregation to separate economic activity from noise.
Transparency is not clarity
The paper dispels the myth that public blockchain transparency automatically delivers reliable economic data.
A sixfold discrepancy in transaction estimates proves that raw on-chain indicators cannot guide policy decisions.
Regulators who rely on unadjusted crypto dashboards risk building supervision on flawed assumptions.