Topic summary

⁠48%1 analyzed article/video283 analyzed words

BS Summary: These Tennessee Elections results contain 20 faulty reasoning types, including Appeal to Emotion, Framing Effect, and Availability Heuristic, with Negativity Bias as the most egregious example at 13.9% saturation with 118 hits. Analysis detected 839 faulty-reasoning hits from 849 analyzed words across 1 article, generating a BS Score of 4.9% and a BS Rank of ⁠76% (4,074 of 16,562 topics). This Tennessee Elections is worse (more manipulative) than 75.40% of the peer group.

Tennessee Elections

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Uber	1%
⁠0%	Pittsburgh Pirates	1%
⁠0%	Opera	1%
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	1%
⁠76%	Tennessee Elections (selected)	5%
⁠100%	Radio Roundup / Week In Review	60%
⁠100%	E-Bikes / Rad Power Bikes	60%
⁠100%	E Bikes Rad Power Bikes	60%
⁠100%	The Last Word With Lawrence O'donnell	69%
⁠100%	The Last Word With Lawrence Odonnell	69%

Topic details

Total words: 849

Article count: 1

Authors

Marianna Bacallao

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Attribute Prevalence (Top 48)

Tennessee Elections attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Tennessee Elections vs sitewide

Tennessee Elections attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Tennessee banned AI in political ads. Why candidates are using it anyway⁠^37%

WPLN News⁠^12%By Marianna Bacallao⁠^11%7/24/2026, 9:28:22 AM