The Annual Pass That Cost More on Paper
- Admitted
- 2025-09-17
- Source dataset
- Who&When
- Failure mode
- Coordination failure
- Agent system
- Multi-agent
- Tool access
- Read-only
- Industry
- General or other
Presenting Behaviour
In a multi-agent financial-planning task, a "Tickets_Pricing_Expert" agent was responsible for gathering ticket pricing information and produced incorrect figures, then stopped short without completing the comparison and summary steps it was meant to hand off. A "Budgeting_Expert" agent downstream took the flawed pricing data at face value, used it to calculate costs, and concluded that an annual pass was more expensive than a pay-per-visit option, the opposite of the correct answer. A separate "Verification_Expert" further downstream, working only from the already-corrupted figures it had been handed, had no way to catch the original error.
Case Replay
A reconstruction, not a simulation. This sequence is reconstructed from the public incident record and summarised in our own words. It is a static record of what was reported, and nothing here can be run or replayed live.
4 steps
- Pricing gathered. One agent produces incorrect ticket prices and stops short. This is where the agent derailed.
- Taken at face value. The budgeting agent uses the figures as given.
- Wrong conclusion. It concludes an annual pass costs more, the opposite of the truth.
- Verifier blind. A verification agent only sees the corrupted figures.
Differential Diagnosis
The Verification Expert failed at its job, considered and ruled out; this is in fact the mistake other automated failure-analysis approaches made in this same case, blaming the downstream agent for the wrong output when it never had access to correct figures to verify against in the first place.
Apraxia on the part of the Budgeting Expert, considered, since it produced a wrong calculation. Ruled out because its arithmetic on the numbers it was given appears to have been correct; the input it was reasoning from was already false.
Shared Psychotic Disorder, most consistent with the evidence. An early, incomplete error from one agent propagated unexamined through two further agents in the chain, each of which trusted the information it inherited rather than independently confirming it, so the final wrong conclusion looked, at every later step, like a reasonable one.
Working Diagnosis
Shared Psychotic Disorder: an incorrect pricing figure produced early in the chain by one agent was passed downstream and acted on by two further agents without independent verification, so the false belief propagated all the way to the final, incorrect answer.
Discussion
This is the same reason a mistaken assumption spreads through a human team when no one asks "where did that number actually come from", except a chain of specialized agents can pass information along even faster and with even less friction than a group of colleagues would. Multi-agent pipelines built around passing a running belief from one specialist to the next need at least one point where a number or claim gets checked against its original source, not just against whether it's internally consistent with what the previous agent said.
Mitigation Strategy
Add a point in the chain where a number or claim is checked against its original source.
Governance Guardrails
Source verification between agents; provenance tracking of figures; independent checking beyond internal consistency.
Typical Presentation in Human Patients
General clinical background, included for context. Not medical advice, and not a diagnosis of any individual.
In shared psychotic disorder, a person in a close relationship with someone experiencing delusions comes to adopt the same false belief themselves, having had little or no independent reason to hold it. The condition typically resolves once the two people are separated.
Source Note
"Aegis: Automated Error Generation and Attribution for Multi-Agent Systems" (research paper, Who&When case study)
https://arxiv.org/abs/2509.14295