Topic summary

⁠0%1 analyzed article/video658 analyzed words

BS Summary: These Nfts results contain 24 faulty reasoning types, including Negativity Bias, Hasty Generalization, and Representativeness Heuristic, with Framing Effect as the most egregious example at 14.2% saturation with 375 hits. Analysis detected 1,653 faulty-reasoning hits from 2,632 analyzed words across 1 article, generating a BS Score of 2.6% and a BS Rank of ⁠43% (9,551 of 16,562 topics). This Nfts is better (less manipulative) than 57.70% of the peer group.

Nfts

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Uber	1%
⁠0%	Pittsburgh Pirates	1%
⁠0%	Opera	1%
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	1%
⁠43%	Nfts (selected)	3%
⁠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: 2,632

Article count: 1

Authors

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Attribute Prevalence (Top 48)

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

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Nfts vs sitewide

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

Analyzed articles and videos

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Trump Financials Revealed: Melania’s Movie Income and $1.4B in Crypto⁠^20%

Newsweek⁠^36%By Gabe Whisnant⁠^20% Dan Gooding⁠^0%6/30/2026, 9:59:55 PM