Topic summary

⁠94%1 analyzed article/video512 analyzed words

BS Summary: These AI Vulnerabilities results contain 26 faulty reasoning types, including Framing Effect, Hasty Generalization, and Appeal to Authority, with Negativity Bias as the most egregious example at 19.4% saturation with 298 hits. Analysis detected 2,176 faulty-reasoning hits from 1,536 analyzed words across 1 article, generating a BS Score of 5.4% and a BS Rank of ⁠78% (3,244 of 14,199 topics). This AI Vulnerabilities is worse (more manipulative) than 77.20% of the peer group.

AI Vulnerabilities

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%
⁠78%	AI Vulnerabilities (selected)	6%
⁠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: 1,536

Article count: 1

Authors

Frank Landymore

Loading chart...

Attribute Prevalence (Top 48)

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

Loading chart...

AI Vulnerabilities vs sitewide

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

Analyzed articles and videos

Sort by

It’s Laughably Easy to Poison Open-Weight AI Models, Researcher Finds⁠^72%

Futurism⁠^87%By Frank Landymore⁠^68%7/19/2026, 12:00:00 PM