Quantifying Inequality in Blockchain Networks

18 Pages Posted: 9 Oct 2025 Last revised: 27 Jan 2026

See all articles by Nir Chemaya

Nir Chemaya

University of California, Santa Barbara (UCSB)

Aviv Yaish

Yale University; Complexity Science Hub Vienna

Shahar Yacouel

Ben Gurion University of the Negev

Dahlia Malkhi

University of California, Santa Barbara (UCSB)

Lin William Cong

Nanyang Technological University; Cornell University

Date Written: September 21, 2025

Abstract

Inequality measures such as the Gini coefficient are widely used to motivate public policy [6], and are being increasingly applied in blockchain settings to design fairer mechanisms. [1, 9, 16]. Several challenges impair the reliability of inequality measures. First, the pseudonymous nature and the fact that actors may create multiple sybil accounts, distort asset distribution. Second, there are complex token-holding patterns, where an entity's assets may be stored across various smart contracts. In this work we propose methods to improve the accuracy of inequality measurements in blockchain networks. We empirically test these methods on Ethereum and assess policy impacts. Our results suggest that while inequality in Ethereum appeared to decline over time, and several previous protocol changes such as the transition from PoW to PoS indeed reduced inequality, this trend has recently reversed.

Keywords: Blockchain, Tokenomics, Inequality, Ethereum

Suggested Citation

Chemaya, Nir and Yaish, Aviv and Yacouel, Shahar and Malkhi, Dahlia and Cong, Lin William, Quantifying Inequality in Blockchain Networks (September 21, 2025). Available at SSRN: https://ssrn.com/abstract=5540258 or http://dx.doi.org/10.2139/ssrn.5540258

Nir Chemaya

University of California, Santa Barbara (UCSB) ( email )

Aviv Yaish

Yale University ( email )

493 College St
New Haven, CT CT 06520
United States

HOME PAGE: http://cs.yale.edu/homes/aviv/

Complexity Science Hub Vienna ( email )

Josefstädter Straße 39
Vienna
Austria

Shahar Yacouel (Contact Author)

Ben Gurion University of the Negev ( email )

Beersheba
Israel

Dahlia Malkhi

University of California, Santa Barbara (UCSB) ( email )

Lin William Cong

Nanyang Technological University ( email )

48 Nanyang Ave SHHK-04-19
Psychology, School of Social Sciences
Singapore, 639818
Singapore

Cornell University ( email )

616 Thurston Ave
Ithaca, NY 14853
United States

HOME PAGE: http://www.linwilliamcong.com

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