Topic summary

⁠0%1 analyzed article/video

BS Summary: These Technological Ethics results contain 23 faulty reasoning types, including Negativity Bias, Halo Effect, and Appeal to Authority, with Framing Effect as the most egregious example at 9.3% saturation with 524 hits. Analysis detected 3,254 faulty-reasoning hits from 5,643 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 16,562 topics). This Technological Ethics is better (less manipulative) than 100.00% of the peer group.

Technological Ethics

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Uber	1%
⁠0%	Pittsburgh Pirates	1%
⁠0%	Opera	1%
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	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%	Technological Ethics (selected)	0%

Topic details

Total words: 5,643

Article count: 1

Authors

Charles Camosy

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Attribute Prevalence (Top 48)

Technological Ethics attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Technological Ethics vs sitewide

Technological Ethics attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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The AI arms race: Pope Leo’s quest to save man from the machine⁠^31%

Washington Examiner⁠^74%By Charles Camosy⁠^0%6/25/2026, 11:00:00 AM