Recognises a truncated axis exaggerating a change
An axis start that inflates the change (lie factor well above 1).
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 84% | Not shown |
| gemini-3.5-flash-lite | Low cost | 67% | Not shown |
| gpt-6-luna | Low cost | 83% | Not shown |
| claude-haiku-5-5 | Low cost | 84% | Not shown |
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: A zero-based or visibly marked axis
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: PN-01 y-axis from 95% of the minimum, 2% change looks like a cliff Acceptable: Zero-based columns, or a marked non-zero line axis
Also known as: Truncated axis exaggerating a change
Related knobits
Builds on
Usually followed by
All 14 knobits of Specify reports and dashboards.
Source: Review checklist 05-report-specification, row 3 (IBCS (check); Tufte)