Keyword summary
⁠0%1 analyzed article/video2,793 analyzed words
BS Summary: These Veterans Benefits results contain 38 faulty reasoning types, including Framing Effect, Appeal to Emotion, and Post Hoc (False Cause), with Negativity Bias as the most egregious example at 23.8% saturation with 1,994 hits. Analysis detected 9,406 faulty-reasoning hits from 8,379 analyzed words across 1 article, generating a BS Score of 3% and a BS Rank of ⁠52% (13,837 of 28,625 keywords). This Veterans Benefits is worse (more manipulative) than 51.70% of the peer group.
Veterans Benefits
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠52%Veterans Benefits (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 8,379
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Veterans Benefits attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Veterans Benefits vs sitewide
Veterans Benefits attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos