Forsage: Anatomy of a Smart-Contract Pyramid Scheme
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Abstract (arXiv)
Pyramid schemes are investment scams in which top-level participants in a hierarchical network recruit and profit from an expanding base of defrauded newer participants. Pyramid schemes have existed for over a century, but there have been no in-depth studies of their dynamics and communities because of the opacity of participants' transactions. In this paper, we present an empirical study of Forsage, a pyramid scheme implemented as a smart contract and at its peak one of the largest consumers of resources in Ethereum. As a smart contract, Forsage makes its (byte)code and all of its transactions visible on the blockchain. We take advantage of this unprecedented transparency to gain insight into the mechanics, impact on participants, and evolution of Forsage. We quantify the (multi-million-dollar) gains of top-level participants as well as the losses of the vast majority (around 88%) of users. We analyze Forsage code both manually and using a purpose-built transaction simulator to uncover the complex mechanics of the scheme. Through complementary study of promotional videos and social media, we show how Forsage promoters have leveraged the unique features of smart contracts to lure users with false claims of trustworthiness and profitability, and how Forsage activity is concentrated within a small number of national communities.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 May 2021.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 2; 2026: 1.
4 papers.
- 2022Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereumcited by 4
- 2025Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harmcited by 3
- 2026Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agentscited by 1
- 2025SEASONED: Semantic-Enhanced Self-Counterfactual Explainable Detection of Adversarial Exploiter Contractscited by 0
- 2026Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents27 May 2026
- 2025SEASONED: Semantic-Enhanced Self-Counterfactual Explainable Detection of Adversarial Exploiter Contracts6 Sep 2025
- 2025Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm11 Jul 2025
- 2022Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum30 Oct 2022