Topic summary

⁠0%1 analyzed article/video1,922 analyzed words

BS Summary: These Ethical Ai results contain 39 faulty reasoning types, including False Dilemma, Optimism Bias, and Pessimism Bias, with Hasty Generalization as the most egregious example at 6.6% saturation with 510 hits. Analysis detected 5,841 faulty-reasoning hits from 7,688 analyzed words across 1 article, generating a BS Score of 1.9% and a BS Rank of ⁠21% (10,371 of 13,018 topics). This Ethical Ai is better (less manipulative) than 79.70% of the peer group.

Ethical Ai

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%
⁠21%	Ethical Ai (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: 7,688

Article count: 1

Authors

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Attribute Prevalence (Top 48)

Ethical Ai attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Ethical Ai vs sitewide

Ethical Ai attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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After a Potential Mythos Breach, Why Do Developers Use Such Powerful AI Models?⁠^65%

KQED⁠^61%By Carlos Cabrera-Lomelí⁠^0% Mina Kim⁠^0%4/24/2026, 6:31:15 PM