The third honesty check is whether the title's claim is actually backed by what the graphic shows

What it is

The third honesty check is title-graphic consistency: for every claim in the title, subtitle, and annotations (direction, magnitude, causal level), does the graphic itself provide support? Conclusion titles and annotations steer interpretation—the more powerful their steering, the greater the misleading when they drift from the graphic. This check turns "is the title exaggerated?" from a subjective impression into a sentence-by-sentence audit.

Why it happens

The check's executable form is claim-by-claim auditing: decompose each title and annotation sentence into minimal claim units, classify each (direction / magnitude / scope / causal), then locate support in the graphic—direction claims map to trend or difference direction, magnitude claims to the data's scale, scope claims to the data's coverage, and causal claims require experimental evidence (observational data supports only correlational wording). Any claim class without corresponding support fails. The audit simultaneously detects wording inflation: the slide from "rose 12%" to "grew sharply," or from "in this experiment" to "users prefer," exposes itself under sentence-level decomposition. The check is efficient because it needs only materials the maker already has (chart plus data)—no additional analysis.

Where it stops holding

"Support" permits legitimate summarization: a title need not enumerate all data—"mobile leads" is derivable from a channel-breakdown chart, and a visible derivation chain counts as support; only assertions entirely underivable from the graphic (chart on revenue, title on profit) fail. The audit's granularity should match the claim's circulation risk: internal exploratory charts audit to internal standards; outward-published charts audit to the strictest. The causal-claim audit is the easiest to rubber-stamp—distinguishing "data supports" from "data suggests" requires basic training in the observational/experimental evidence difference, otherwise hints get mistaken for support.

Applying it

• Check action: decompose titles and annotations into a claim list, tag each with type and support source (where in the graphic); any claim without a support source fails.
• Causal claims require experimental sources; causal verbs on observational charts fail outright.
• Attach the audit result (claim list with support mapping) to the publishing materials for reviewer verification.
• Verification: have a second person write down the conclusions the graphic supports (title hidden), then compare with the title; a mismatch indicates a consistency problem.

Related

• Same group: U10.04.1 Check whether axes start at zero or are truncated or broken · U10.04.2 Check whether data range, filter conditions, and exclusions are stated · U10.04.4 Check whether uncertainty, missing proportion, and sample size are labeled · U10.04.5 Check whether the conclusion changes under another reasonable rendering · U10.04.6 The checklist runs before publication, not after being challenged
• Nearby: U9.02.3 A title's assertion must be supported by the graphic · U10.03.3 Narrative wording often exceeds what the data supports
• Search terms: claim check · title accuracy · chart review