Topic summary

⁠0%1 analyzed article/video

BS Summary: These Artificial Intelligence In Military results contain 19 faulty reasoning types, including Appeal to Emotion, Framing Effect, and Ad Hominem, with Negativity Bias as the most egregious example at 12.4% saturation with 457 hits. Analysis detected 1,902 faulty-reasoning hits from 3,678 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 14,314 topics). This Artificial Intelligence In Military is better (less manipulative) than 100.00% of the peer group.

Artificial Intelligence In Military

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	1%
⁠0%	Terms Of Use	1%
⁠0%	Self-Driving Cars	1%
⁠0%	Self Driving Cars	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%	Artificial Intelligence In Military (selected)	0%

Topic details

Total words: 3,678

Article count: 1

Authors

Nick Turse

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Attribute Prevalence (Top 48)

Artificial Intelligence In Military attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Artificial Intelligence In Military vs sitewide

Artificial Intelligence In Military attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Hegseth’s War Department Slashed Civilian Protection Staff, Brought in AI Assessments⁠^20%

The Intercept⁠^78%By Nick Turse⁠^65%7/20/2026, 8:13:00 AM