Topic summary

⁠11%1 analyzed article/video1,982 analyzed words

BS Summary: These Ridership Trends results contain 30 faulty reasoning types, including Optimism Bias, Appeal to Emotion, and Post Hoc (False Cause), with Anecdotal as the most egregious example at 7.6% saturation with 451 hits. Analysis detected 2,327 faulty-reasoning hits from 5,946 analyzed words across 1 article, generating a BS Score of 1.3% and a BS Rank of ⁠4% (15,951 of 16,562 topics). This Ridership Trends is better (less manipulative) than 96.30% of the peer group.

Ridership Trends

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Uber	1%
⁠0%	Pittsburgh Pirates	1%
⁠0%	Opera	1%
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	1%
⁠4%	Ridership Trends (selected)	2%
⁠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: 5,946

Article count: 1

Authors

Rachel Weiner

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Attribute Prevalence (Top 48)

Ridership Trends attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Ridership Trends vs sitewide

Ridership Trends attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Metro tried to make bus service better. Somehow, ridership and speeds are both down⁠^17%

The 51st⁠^48%By Rachel Weiner⁠^13%7/23/2026, 10:50:30 AM