Keyword summary
⁠19%2 analyzed articles/videos456 analyzed words
BS Summary: These Coal Plants results contain 26 faulty reasoning types, including Overconfidence Bias, Negativity Bias, and Post Hoc (False Cause), with Appeal to Emotion as the most egregious example at 9.8% saturation with 301 hits. Analysis detected 2,228 faulty-reasoning hits from 3,060 analyzed words across 2 articles, generating a BS Score of 2.8% and a BS Rank of ⁠48% (14,928 of 28,613 keywords). This Coal Plants is better (less manipulative) than 52.20% of the peer group.
Coal Plants
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠48%Coal Plants (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 3,060
Article count: 2
Authors
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Attribute Prevalence (Top 48)
Coal Plants attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Coal Plants vs sitewide
Coal Plants attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos