Topic summary

⁠37%1 analyzed article/video1,466 analyzed words

BS Summary: These Industrial Growth results contain 26 faulty reasoning types, including Negativity Bias, Pessimism Bias, and Sunk Cost Effect, with Self-Serving Bias as the most egregious example at 7.5% saturation with 442 hits. Analysis detected 2,610 faulty-reasoning hits from 5,864 analyzed words across 1 article, generating a BS Score of 1.7% and a BS Rank of ⁠26% (16,091 of 21,484 topics). This Industrial Growth is better (less manipulative) than 74.90% of the peer group.

Industrial Growth

Topic ranking list

Percentile	Topic	BS Score
⁠0%	4-H Schedule	1%
⁠0%	4 H Schedule	1%
⁠0%	Musician Biographies	1%
⁠0%	Cleveland Politics	1%
⁠0%	Summer Traditions	1%
⁠26%	Industrial Growth (selected)	2%
⁠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: 5,864

Article count: 1

Authors

Hannah Norton

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Attribute Prevalence (Top 48)

Industrial Growth attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Industrial Growth vs sitewide

Industrial Growth attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Texas lawmakers question if ERCOT’s data center rules will deter new industrial growth⁠^29%

Community Impact⁠^7%By Hannah Norton⁠^21%7/31/2026, 3:30:00 PM