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On Detecting Cherry-picked Trendlines

Summary: Proposes a system to detect cherry-picked trendlines in temporal data using a formal support metric for claim plausibility. Offers algorithms to compute support, analyzes trendline types, and surfaces the most supported statements, validated empirically. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12285
Venue
VLDB
Year
2020
Pagerank
6.84423e-05
Overall Rank
3,686 | 74.36%
DOI
10.14778/3380750.3380762

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