Topic summary

⁠100%1 analyzed article/video337 analyzed words

BS Summary: These Tech Censorship results contain 24 faulty reasoning types, including Framing Effect, Negativity Bias, and Hasty Generalization, with Politically Right Leaning Bias as the most egregious example at 39.3% saturation with 530 hits. Analysis detected 3,788 faulty-reasoning hits from 1,348 analyzed words across 1 article, generating a BS Score of 11.7% and a BS Rank of ⁠93% (897 of 12,026 topics). This Tech Censorship is worse (more manipulative) than 92.50% of the peer group.

Tech Censorship

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Holocaust	1%
⁠0%	Self-Driving Cars	1%
⁠0%	Self Driving Cars	1%
⁠0%	Survival Stories	1%
⁠0%	Gender Identity	1%
⁠93%	Tech Censorship (selected)	12%
⁠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: 1,348

Article count: 1

Authors

Joseph Chalfant

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Attribute Prevalence (Top 48)

Tech Censorship attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Tech Censorship vs sitewide

Tech Censorship attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Here's How Apple and Google Helped Keep Graham Platner's Campaign Alive⁠^96%

townhall.com⁠^87%By Joseph Chalfant⁠^100%7/14/2026, 8:45:43 PM