Topic summary

⁠0%1 analyzed article/video

BS Summary: These Train Accidents results contain 28 faulty reasoning types, including Hindsight Bias, Ambiguity (Equivocation), and Framing Effect, with Negativity Bias as the most egregious example at 10.3% saturation with 544 hits. Analysis detected 3,689 faulty-reasoning hits from 5,300 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 12,828 topics). This Train Accidents is better (less manipulative) than 100.00% of the peer group.

Train Accidents

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Holocaust	1%
⁠0%	Self-Driving Cars	1%
⁠0%	Self Driving Cars	1%
⁠0%	Oakland Culture	1%
⁠0%	Dive Bars	1%
⁠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%
⁠0%	Train Accidents (selected)	0%

Topic details

Total words: 5,300

Article count: 1

Authors

Elizabeth Rayne

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Attribute Prevalence (Top 48)

Train Accidents attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Train Accidents vs sitewide

Train Accidents attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Two Railway Workers Went Behind Their Boss’ Back—and May Have Caused Britain’s Worst Train Disaster⁠^35%

Popular Mechanics⁠^37%By Elizabeth Rayne⁠^34%7/16/2026, 12:30:04 PM