Keyword summary
⁠49%1 analyzed article/video1,457 analyzed words
BS Summary: These Senate Bill 17 results contain 31 faulty reasoning types, including Framing Effect, Appeal to Emotion, and Confirmation Bias, with Negativity Bias as the most egregious example at 11.1% saturation with 484 hits. Analysis detected 3,124 faulty-reasoning hits from 4,371 analyzed words across 1 article, generating a BS Score of 2.3% and a BS Rank of ⁠34% (21,331 of 32,257 keywords). This Senate Bill 17 is better (less manipulative) than 66.10% of the peer group.
Senate Bill 17
Keyword ranking list
PercentileKeywordBS Score
⁠0%Bastille Day1%
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Borders1%
⁠0%French Revolution1%
⁠34%Senate Bill 17 (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 4,371
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Senate Bill 17 attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Senate Bill 17 vs sitewide
Senate Bill 17 attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos