Keyword summary
⁠0%1 analyzed article/video1,247 analyzed words
BS Summary: These Missouri General Assembly Session results contain 33 faulty reasoning types, including Appeal to Emotion, Negativity Bias, and Post Hoc (False Cause), with Framing Effect as the most egregious example at 7.3% saturation with 362 hits. Analysis detected 3,470 faulty-reasoning hits from 4,988 analyzed words across 1 article, generating a BS Score of 2.1% and a BS Rank of ⁠28% (20,607 of 28,615 keywords). This Missouri General Assembly Session is better (less manipulative) than 72.00% of the peer group.
Missouri General Assembly Session
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠28%Missouri General Assembly Session (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 4,988
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Missouri General Assembly Session attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Missouri General Assembly Session vs sitewide
Missouri General Assembly Session attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos