Keyword summary
⁠0%1 analyzed article/video549 analyzed words
BS Summary: These Senate Appropriations results contain 19 faulty reasoning types, including Negativity Bias, Framing Effect, and Optimism Bias, with Recency Bias as the most egregious example at 8.9% saturation with 146 hits. Analysis detected 1,059 faulty-reasoning hits from 1,647 analyzed words across 1 article, generating a BS Score of 3.4% and a BS Rank of ⁠61% (14,643 of 37,536 keywords). This Senate Appropriations is worse (more manipulative) than 61.00% of the peer group.
Senate Appropriations
Keyword ranking list
PercentileKeywordBS Score
⁠0%Lieutenant Governor1%
⁠0%Agriculture Commissioner1%
⁠0%Texas Supreme Court1%
⁠0%Tropic Care Of Florida1%
⁠0%Running Back1%
⁠61%Senate Appropriations (selected)4%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 1,647
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Senate Appropriations attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Senate Appropriations vs sitewide
Senate Appropriations attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos