Keyword summary
⁠48%3 analyzed articles/videos1,809 analyzed words
BS Summary: These Us Senate Race results contain 40 faulty reasoning types, including Biased Writer Voice, Hasty Generalization, and Framing Effect, with Negativity Bias as the most egregious example at 13.4% saturation with 1,435 hits. Analysis detected 10,847 faulty-reasoning hits from 10,716 analyzed words across 3 articles, generating a BS Score of 2.5% and a BS Rank of ⁠42% (16,818 of 28,663 keywords). This Us Senate Race is better (less manipulative) than 58.70% of the peer group.
Us Senate Race
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠42%Us Senate Race (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 10,716
Article count: 3
Authors
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Attribute Prevalence (Top 48)
Us Senate Race attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Us Senate Race vs sitewide
Us Senate Race attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos