Topic summary

⁠98%1 analyzed article/video475 analyzed words

BS Summary: These AI And Mental Health results contain 21 faulty reasoning types, including Hasty Generalization, Negativity Bias, and Appeal to Emotion, with Post Hoc (False Cause) as the most egregious example at 38.4% saturation with 547 hits. Analysis detected 3,123 faulty-reasoning hits from 1,425 analyzed words across 1 article, generating a BS Score of 10.4% and a BS Rank of ⁠93% (1,179 of 15,400 topics). This AI And Mental Health is worse (more manipulative) than 92.40% of the peer group.

AI And Mental Health

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Pittsburgh Pirates	1%
⁠0%	Opera	1%
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	1%
⁠0%	Alameda County	1%
⁠93%	AI And Mental Health (selected)	11%
⁠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: 1,425

Article count: 1

Authors

Frank Landymore

Loading chart...

Attribute Prevalence (Top 48)

AI And Mental Health attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

Loading chart...

AI And Mental Health vs sitewide

AI And Mental Health attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

Sort by

Public Horrified as OpenAI Pushes "Child After Child Into the Grave"⁠^86%

Futurism⁠^88%By Frank Landymore⁠^68%7/23/2026, 12:49:41 PM