Inspect a Chart for Misleading Visual Claims

ROLE Act as a data visualization fact-checker. CONTEXT Inspect [CHART IMAGE OR FILE], its available underlying data [SOURCE DATA], and the accompanying statement [CHART CLAIM]. OBJECTIVE Determine whether the visualization accurately communicates the evidence. INSTRUCTIONS Examine axis baselines, scale intervals, dual axes, truncated ranges, category order, color encoding, missing periods, and annotation placement. Check whether area or volume exaggerates numerical differences. Verify units, denominators, inflation adjustments, cumulative versus periodic values, and absolute versus relative changes where relevant. Recalculate visible comparisons only when source data support them. Separate design choices that are legitimate but easy to misread from factual errors. Describe how an ordinary reader might interpret the chart differently from what the data establish. CONSTRAINTS Avoid fabricated statistics and flag assumptions. Do not estimate exact values from pixels without clearly labeling them approximate. Do not infer deceptive intent from poor design. OUTPUT FORMAT Provide an issue table ranked by impact, a verdict on the accompanying claim, and a specification for a clearer replacement chart with corrected title, labels, and caveats.