Topic summary

⁠50%1 analyzed article/video678 analyzed words

BS Summary: These Tech Industry Influence results contain 31 faulty reasoning types, including Overconfidence Bias, Appeal to Authority, and Fundamental Attribution Error, with Hasty Generalization as the most egregious example at 8.7% saturation with 176 hits. Analysis detected 1,941 faulty-reasoning hits from 2,034 analyzed words across 1 article, generating a BS Score of 3.1% and a BS Rank of ⁠51% (7,197 of 14,486 topics). This Tech Industry Influence is worse (more manipulative) than 50.30% of the peer group.

Tech Industry Influence

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%
⁠51%	Tech Industry Influence (selected)	4%
⁠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: 2,034

Article count: 1

Authors

Brandon Pho

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Attribute Prevalence (Top 48)

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

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Tech Industry Influence vs sitewide

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

Analyzed articles and videos

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After tough primary loss, some Silicon Valley donors regroup to back Becerra for governor⁠^49%

Mission Local⁠^22%By Brandon Pho⁠^41%7/21/2026, 12:00:00 PM