Topic summary

⁠30%1 analyzed article/video1,363 analyzed words

BS Summary: These Industrial Waste results contain 32 faulty reasoning types, including Hasty Generalization, Indoctrination, and Pessimism Bias, with Negativity Bias as the most egregious example at 8.1% saturation with 439 hits. Analysis detected 2,069 faulty-reasoning hits from 5,452 analyzed words across 1 article, generating a BS Score of 1.2% and a BS Rank of ⁠8% (19,994 of 21,540 topics). This Industrial Waste is better (less manipulative) than 92.80% of the peer group.

Industrial Waste

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%
⁠8%	Industrial Waste (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: 5,452

Article count: 1

Authors

Inside Climate News

Loading chart...

Attribute Prevalence (Top 48)

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

Loading chart...

Industrial Waste vs sitewide

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

Analyzed articles and videos

Sort by

China’s EV problem: What happens when millions of batteries die?⁠^20%

Daily Kos⁠^88%By Inside Climate News⁠^52%8/1/2026, 2:00:00 PM