Topic summary

⁠0%1 analyzed article/video

BS Summary: These Pharmaceuticals Industry results contain 19 faulty reasoning types, including Framing Effect, Hasty Generalization, and Negativity Bias, with Biased Writer Voice as the most egregious example at 58.7% saturation with 244 hits. Analysis detected 1,378 faulty-reasoning hits from 416 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 16,562 topics). This Pharmaceuticals Industry is better (less manipulative) than 100.00% of the peer group.

Pharmaceuticals Industry

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Uber	1%
⁠0%	Pittsburgh Pirates	1%
⁠0%	Opera	1%
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	1%
⁠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%
⁠0%	Pharmaceuticals Industry (selected)	0%

Topic details

Total words: 416

Article count: 1

Authors

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Attribute Prevalence (Top 48)

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

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Pharmaceuticals Industry vs sitewide

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

Analyzed articles and videos

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The peptide boom: how the US got hooked on unregulated ‘miracle’ drugs | On the Ground⁠^78%

The Guardian⁠^81%By Adam Gabbatt⁠^0% Tom Silverstone⁠^0% Katie Arnold⁠^0%6/16/2026, 2:16:37 AM