Topic summary

⁠12%1 analyzed article/video1,284 analyzed words

BS Summary: These Clean Energy Technologies results contain 24 faulty reasoning types, including Optimism Bias, Hasty Generalization, and Overconfidence Bias, with Appeal to Authority as the most egregious example at 4.9% saturation with 251 hits. Analysis detected 1,594 faulty-reasoning hits from 5,136 analyzed words across 1 article, generating a BS Score of 1.3% and a BS Rank of ⁠10% (19,102 of 21,202 topics). This Clean Energy Technologies is better (less manipulative) than 90.10% of the peer group.

Clean Energy Technologies

Topic ranking list

Percentile	Topic	BS Score
⁠0%	4-H Schedule	1%
⁠0%	4 H Schedule	1%
⁠0%	Musician Biographies	1%
⁠0%	Back-To-School	1%
⁠0%	Cleveland Politics	1%
⁠10%	Clean Energy Technologies (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: 5,136

Article count: 1

Authors

Maria Gallucci

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Attribute Prevalence (Top 48)

Clean Energy Technologies attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Clean Energy Technologies vs sitewide

Clean Energy Technologies attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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How Can US Factories Get Cleaner Heat? These Ideas May Help.⁠^13%

Mother Jones⁠^69%By Maria Gallucci⁠^21%7/31/2026, 4:30:00 AM