Topic summary

⁠0%1 analyzed article/video

BS Summary: These Open Source AI results contain 23 faulty reasoning types, including Appeal to Authority, Halo Effect, and Hasty Generalization, with Framing Effect as the most egregious example at 12.1% saturation with 164 hits. Analysis detected 1,239 faulty-reasoning hits from 1,350 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 13,027 topics). This Open Source AI is better (less manipulative) than 100.00% of the peer group.

Open Source 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%
⁠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%	Open Source AI (selected)	0%

Topic details

Total words: 1,350

Article count: 1

Authors

Will Knight

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Attribute Prevalence (Top 48)

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

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Open Source AI vs sitewide

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

Analyzed articles and videos

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Thinking Machines Lab Drops Its First Model⁠^62%

WIRED⁠^13%By Will Knight⁠^0%7/15/2026, 6:05:00 PM