# Game Theory Assumptions That Hurt Web3

By [Holonic Horizons](https://paragraph.com/@holonic-horizons) · 2025-06-09

gametheory, game, theory, web3, tokenomics, blockchain, cryptocurrency

---

Game theory's application in Web3 and crypto relies on foundational assumptions that often clash with real-world complexities, creating systemic risks and unintended consequences. Below are key assumptions and their implications:

![](https://storage.googleapis.com/papyrus_images/1553efdda01c322a2513b7cecd18e179.jpg)

**1\. Rational Actor Assumption**

·       **Implication**: Models assume participants act in self-interest to maximize payoffs, but human behavior often includes irrationality, emotional decisions, or altruism[\[1\]](#fn1)[\[2\]](#fn2).

·       **Example**: In token ecosystems, users may panic-sell during market downturns despite incentives for long-term staking, destabilizing protocols[\[3\]](#fn3). The collapse of Olympus DAO’s "flywheel" mechanism highlights how selfish actions override collective benefits[\[3\]](#fn3).

![](https://storage.googleapis.com/papyrus_images/58ff424f92cdfe3bf11412aaee012958.jpg)

**2\. Static Strategy Spaces**

·       **Implication**: Game theory often assumes fixed rules and strategies, but blockchain environments are dynamic. New attack vectors (e.g., MEV exploits) or protocol upgrades can invalidate existing models[\[4\]](#fn4)[\[2\]](#fn2).

·       **Example**: Smart contracts enforce rigid commitments, enabling "meta-games" where players exploit loopholes unanticipated by designers[\[4\]](#fn4). For instance, miners in Bitcoin have historically colluded to manipulate block rewards[\[5\]](#fn5).

**3\. Perfect Information and Coordination**

·       **Implication**: Models presume all players have equal access to information, but asymmetric information is common in decentralized networks[\[2\]](#fn2).

·       **Example**: Miners or validators with superior computational resources (PoW) or stake (PoS) can dominate decision-making, leading to centralization risks[\[6\]](#fn6). This undermines the decentralized ethos of Web3.

![](https://storage.googleapis.com/papyrus_images/72225d50ca9c9a28aaff02a281a8e9a7.webp)

**4\. Nash Equilibrium Reliance**

·       **Implication**: Protocols often aim for Nash equilibrium, but real-world systems rarely achieve it due to bounded rationality or external shocks[\[2\]](#fn2)[\[5\]](#fn5).

·       **Example**: Proof-of-Work assumes miners won’t attack the network because it’s cost-prohibitive, but quantum computing could disrupt this balance, making attacks feasible[\[6\]](#fn6).

![](https://storage.googleapis.com/papyrus_images/f0c6ce089f73026717d2f896e691ee65.png)

**5\. Ignoring Coalition Formation**

·       **Implication**: Many models focus on individual actors, but coordinated groups (e.g., mining pools, DAO cartels) can collude to manipulate outcomes[\[5\]](#fn5)[\[4\]](#fn4).

·       **Example**: In consensus mechanisms, large stakeholders might form coalitions to censor transactions or double-spend, violating the "trustless" ideal[\[5\]](#fn5).

![](https://storage.googleapis.com/papyrus_images/4d9fe3917455554120ad5c9e35767b67.jpg)

**6\. Overlooking External Incentives**

·       **Implication**: Game theory often isolates crypto-economic incentives, but real-world actors may prioritize non-financial motives (e.g., ideological goals, nation-state agendas)[\[5\]](#fn5)[\[4\]](#fn4).

·       **Example**: Validators might prioritize regulatory compliance over protocol rules, compromising decentralization[\[5\]](#fn5).

![](https://storage.googleapis.com/papyrus_images/27b59d671b6596f71baa00ed179cf430.png)

**Compounding Challenges**

·       **Expert Shortage**: Few designers have the expertise to model complex incentive structures, leading to flawed tokenomics[\[6\]](#fn6).

·       **Technological Shifts**: Advances like quantum computing could render cryptographic assumptions obsolete, requiring redesigned game-theoretic safeguards[\[6\]](#fn6).

These mismatches between theory and reality underscore the need for adaptive mechanisms, rigorous stress-testing, and interdisciplinary collaboration to mitigate risks in Web3 ecosystems.

⁂

  

1.       [https://simpleswap.io/blog/the-use-of-game-theory-in-crypto-tokenomics](https://simpleswap.io/blog/the-use-of-game-theory-in-crypto-tokenomics)

2.       [https://docs.verisense.network/FHE/Game\_Theory\_in\_Blockchain.html](https://docs.verisense.network/FHE/Game_Theory_in_Blockchain.html)   

3.       [https://www.linkedin.com/pulse/rξcap-beyond-3-game-theory-blockchain-crypto-tom-phipps-39f0e](https://www.linkedin.com/pulse/rξcap-beyond-3-game-theory-blockchain-crypto-tom-phipps-39f0e) 

4.      [https://arxiv.org/abs/2305.04373](https://arxiv.org/abs/2305.04373)   

5.       [https://johnpconley.com/wp-content/uploads/2024/08/Portsmouth-Blockchain-and-Game-Thory-Slides-2021-02-17.pdf](https://johnpconley.com/wp-content/uploads/2024/08/Portsmouth-Blockchain-and-Game-Thory-Slides-2021-02-17.pdf)     

[https://gbc-time.org/cryptocurrency/game-theory-the-driving-force-behind-the-blockchain-revolution/](https://gbc-time.org/cryptocurrency/game-theory-the-driving-force-behind-the-blockchain-revolution/)

---

*Originally published on [Holonic Horizons](https://paragraph.com/@holonic-horizons/game-theory-assumptions-that-hurt-web3)*