Keyword summary
⁠0%1 analyzed article/video
BS Summary: These Voter Data Theft results contain 38 faulty reasoning types, including Burden of Proof, Appeal to Emotion, and Confirmation Bias, with Hasty Generalization as the most egregious example at 28.4% saturation with 672 hits. Analysis detected 6,526 faulty-reasoning hits from 2,367 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 28,663 keywords). This Voter Data Theft is better (less manipulative) than 100.00% of the peer group.
Voter Data Theft
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
⁠0%Voter Data Theft (selected)0%
Keyword details
Total words: 2,367
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Voter Data Theft attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Voter Data Theft vs sitewide
Voter Data Theft attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos