Topic summary

⁠51%1 analyzed article/video1,051 analyzed words

BS Summary: These AI Chatbot Safety results contain 32 faulty reasoning types, including Appeal to Emotion, Optimism Bias, and Confirmation Bias, with Negativity Bias as the most egregious example at 8.6% saturation with 360 hits. Analysis detected 2,530 faulty-reasoning hits from 4,204 analyzed words across 1 article, generating a BS Score of 1.9% and a BS Rank of ⁠32% (14,780 of 21,540 topics). This AI Chatbot Safety is better (less manipulative) than 68.60% of the peer group.

AI Chatbot Safety

Topic ranking list

Percentile	Topic	BS Score
⁠0%	4-H Schedule	1%
⁠0%	4 H Schedule	1%
⁠0%	Musician Biographies	1%
⁠0%	Cleveland Politics	1%
⁠0%	Summer Traditions	1%
⁠32%	AI Chatbot Safety (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: 4,204

Article count: 1

Authors

Jenna Jarrah

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Attribute Prevalence (Top 48)

AI Chatbot Safety attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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AI Chatbot Safety vs sitewide

AI Chatbot Safety attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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While Congress Waits, New York Tightens the Reins on Data Centers and Chatbots⁠^37%

WhoWhatWhy⁠^86%By Jenna Jarrah⁠^52%7/31/2026, 12:33:11 PM