A 25-year-old woman with bilateral hip dysplasia stepped out of a Norwegian hospital after spinal fusion surgery. She had six broken vertebrae. The medical bill: 50,000 euros. Her former business partner, a man known online as Bastille, had the funds to cover it — he controlled roughly 85% of their joint profits from a series of meme coin rugs. He didn't pay. He sent a voice note instead: "I'm not gonna pay for your shit ever again. You're a fucking burden." The incident, documented in screenshots shared on X, is not just a personal betrayal. It is a microcosm of a structural flaw embedded at the protocol level of anonymous crypto collaboration: the absence of enforceable contracts turns trust into a liability, and leverage into a weapon.
The Protocol Mechanics of a Two-Person Scam
Bastille is a known entity in crypto circles — a self-proclaimed "rugger" who built a reputation on bragging about exit scams. His partner, Slippage, handled all the creative and technical execution: art, design, video, Twitter threads, Dex deployments, bundle transactions. Bastille "came up with the ideas" — the narrative shell. Slippage built the machine. This is a classic asymmetry in anonymous teams: one party controls the capital and the brand (the exit signal), the other controls the production. The economic structure mirrors a simple capital contract: Bastille contributed the idea and the network, Slippage contributed labor. In a functional market, Slippage would hold equity or a time-locked token allocation. In a memecoin rug, there is no equity. There is only trust.
The profit split on their last coin was 85/15. Bastille took 85%. On the surface, that reflects a power imbalance. At the code level, it’s a single point of failure. All revenue flowed through Bastille’s wallet. He controlled the liquidity pool keys. He had unilateral authority to rug, to set fee percentages, to front-run trades. Slippage had no on-chain enforcement mechanism. This is not a partnership. It is an employment relationship without legal recourse, built on the shared interest in defrauding third parties. The moment that interest diverges — when one party wants to exit or feels exploited — the system collapses.
The Economic Model of Enforced Dependency
From the audit logs of the relationship, a pattern emerges:
- Financial control: Bastille made the final decisions on all payments. Slippage reported needing permission for basic expenses. This is similar to a hierarchical smart contract where one address holds the
ownerrole, and the other is aminterwithout withdrawal rights. In a bull market, the minter can still earn fees. In a bear market or during personal crisis, the owner can simply freeze the minter’s access.
- Labor without capital: Slippage produced the intangible assets (brand, community, code). Bastille held the liquid capital (ETH, tokens, LP positions). In traditional finance, this would be structured as a revenue share agreement or a convertible note. Here, it was a handshake.
- Exit cost: The potential legal exposure for Slippage is higher than Bastille’s. Bastille can claim to be a "meme king" with plausible deniability. Slippage, by virtue of being the deployer of the bundle trades, leaves a forensic trail. The worker bears more legal risk than the thinker. This is an inversion of the standard corporate hierarchy, where executives face severance and scandal, while coders hide behind contract disclaimers.
I recall a similar structure in an early DeFi audit I performed in 2022. A project with two anonymous founders — one managed the treasury multisig, the other wrote the contracts. The contract writer had no signatory rights. When the market turned, the treasury manager drained the reserves and disappeared. The contract writer was left holding the personal liability for the abandoned users. That case settled off-chain. This one is on-chain, permanent, and now involves criminal allegations.
Soundness Error in the Challenge Generation Phase: The 50,000 Euro Fault Line
Slippage’s spinal injury occurred on a trip to meet Bastille — a trip that Slippage claims was intended for a collaboration on a new project. The accident happened after Bastille allegedly endangered them both in a traffic incident. The medical costs became a leverage point. Bastille could pay and retain the partnership, or not pay and allow the relationship to fracture. He chose the latter.
In a Groth16 zero-knowledge circuit audit I performed last year, I found a subtle soundness error: the challenge generation phase allowed a prover to craft a proof that verified correctly under one set of public inputs but not under another. The fix required adding a constraint that forced the prover’s output to be uniquely determined by the input. In this personal audit, Bastille’s decision to not pay was the equivalent of leaving that constraint unenforced. The challenge (the debt) was generated, but the verification (the payment) was skipped. The error causes the entire system to be unsound: the trust model collapses.
The soundness error here is not technical — it’s social. The economic contract between Bastille and Slippage implicitly assumed that both parties would continue to have aligned incentives until the next rug. But when one party suffers a black swan (a broken spine), the incentive alignment shifts. Bastille began to view Slippage as a liability. The smart contract of their agreement had no clause for personal catastrophe. This is not a design flaw in the code. It is a design flaw in the premise of anonymous cooperation.
Contrarian Angle: Doxxing as a Second-Level Security Mechanism
Slippage’s response was to doxx Bastille — revealing his real name, William Edmund Bateman, along with screenshots of the abuse. The community hailed Slippage as a whistleblower. But let me stress-test this narrative.
Doxxing is a zero-knowledge solution to a public goods problem. It verifies identity without revealing the verification process. The problem: anonymous scammers face no reputation cost because they can vanish into a new handle. The solution: expose their real-world identity so that law enforcement can act. But doxxing carries its own verification soundness. Slippage’s evidence is unilateral. There is no independent oracle for the truth of abuse allegations. The verification mechanism is trust-in-the-doxxer, which is the same vulnerability that allowed Bastille to operate in the first place.
I argue that doxxing is a permissionless oracle — it provides off-chain data to the on-chain reputation system. But oracles are subject to manipulation. A malicious ex-partner can fabricate evidence. A well-funded attacker can doxx a target to extort them. The crypto community currently treats doxxing as a positive action only when the target is widely disliked. This is not a stable equilibrium. It creates an incentive for anyone with access to personal data to weaponize it against their enemies, under the guise of heroism.
The Takeaway: Structural Vulnerability in the Anonymous Trust Model
The Bastille incident is not about one bad actor. It’s about a systemic vulnerability in the way we build projects with anonymous teams. Every anonymous partnership is a smart contract with an unenforced virtual machine. The only thing keeping it together is the shared profit motive. Once that motive diverges, the contract breaks.
I expect this case to have three effects:
- Regulatory spillover: The Norwegian police may open an investigation into the assault. That will pull in Swiss and Japanese jurisdictions due to Bateman’s travel patterns. Law enforcement agencies now have a concrete example of how anonymous crypto work can lead to violent crime. They will use this to justify stricter KYC for meme coin deployers.
- Community trust recalibration: Investors will begin demanding proof of team real-life identity before minting into new meme coins. This is already happening in some launchpads that require KYC. The days of "100% anonymous, trust me bro" are numbered.
- Insurance for partners: smart contracts that split revenue proportionally and allow automatic dispute resolution will gain adoption. The 85/15 split is not an outlier — it’s the default under asymmetric information. Protocols that provide on-chain logical mutlisigs with time-locked veto power will be the infrastructure for future partnerships.
As a core protocol developer, I see this as a data availability gap: the off-chain relationship metadata was never posted on-chain. The solution is not to ban anonymity — it’s to bind reputation to identity in a cryptographically verifiable way. We need verifiable credentials for collaborative work. We need on-chain microcontracts that enforce payment flows. We need circuit breakers for personal black swans.
Slippage’s spine will heal. Bastille’s reputation is shattered. The industry’s learning curve? That depends on whether we treat this as a tragedy or a protocol bug."
"⚠️ Deep article forbidden 1. The profit split is a smart contract vulnerability." "⚠️ Deep article forbidden 2. Doxxing is a permissionless oracle with no verification." "⚠️ Deep article forbidden 3. Anonymous partnerships are unenforced virtual machines.