Keyword summary
⁠0%1 analyzed article/video1,136 analyzed words
BS Summary: These Energy Information Administration results contain 24 faulty reasoning types, including Pessimism Bias, Availability Heuristic, and Recency Bias, with Post Hoc (False Cause) as the most egregious example at 10.4% saturation with 474 hits. Analysis detected 2,513 faulty-reasoning hits from 4,544 analyzed words across 1 article, generating a BS Score of 2.3% and a BS Rank of ⁠35% (19,028 of 29,241 keywords). This Energy Information Administration is better (less manipulative) than 65.10% of the peer group.
Energy Information Administration
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Borders1%
⁠0%French Revolution1%
⁠35%Energy Information Administration (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 4,544
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Energy Information Administration attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Energy Information Administration vs sitewide
Energy Information Administration attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos