Recognises a root cause fix with no control against recurrence
A cause fixed with nothing that would detect it happening again.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 50% | Not shown |
| gemini-3.5-flash-lite | Low cost | 49% | Not shown |
| gpt-6-luna | Low cost | 50% | Not shown |
| claude-haiku-5-5 | Low cost | 99% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The control that would detect a recurrence
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CA-005 scheduler dependency fixed once; preventive_control: null Acceptable: Snapshot job waits for capitalisation; GL reconciliation alerts on any break
Also known as: No control against recurrence
Related knobits
Builds on
All 9 knobits of Analyse the root causes.
Source: Review checklist 05-root-cause-analysis, row 5 (9001 10.2.1(c); 8000-61)