Topic summary

⁠94%1 analyzed article/video474 analyzed words

BS Summary: These Machine Translation results contain 24 faulty reasoning types, including Biased Writer Voice, Anecdotal, and Hasty Generalization, with Negativity Bias as the most egregious example at 33.5% saturation with 636 hits. Analysis detected 3,572 faulty-reasoning hits from 1,896 analyzed words across 1 article, generating a BS Score of 7.8% and a BS Rank of ⁠86% (1,843 of 12,412 topics). This Machine Translation is worse (more manipulative) than 85.20% of the peer group.

Machine Translation

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Holocaust	1%
⁠0%	Self-Driving Cars	1%
⁠0%	Self Driving Cars	1%
⁠0%	Survival Stories	1%
⁠0%	Gender Identity	1%
⁠86%	Machine Translation (selected)	8%
⁠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: 1,896

Article count: 1

Authors

Victor Tangermann

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Attribute Prevalence (Top 48)

Machine Translation attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Machine Translation vs sitewide

Machine Translation attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Grok’s Foul-Mouthed AI “Translation” Feature Puts Unspeakably Ghoulish Words Into Users’ Mouths⁠^72%

Futurism⁠^91%By Victor Tangermann⁠^89%7/14/2026, 5:54:24 PM