Keyword summary
⁠39%1 analyzed article/video1,022 analyzed words
BS Summary: These Cyber Law results contain 23 faulty reasoning types, including Appeal to Authority, Anchoring Bias, and Framing Effect, with Negativity Bias as the most egregious example at 10.2% saturation with 314 hits. Analysis detected 1,528 faulty-reasoning hits from 3,066 analyzed words across 1 article, generating a BS Score of 2.2% and a BS Rank of ⁠31% (20,010 of 28,627 keywords). This Cyber Law is better (less manipulative) than 69.90% of the peer group.
Cyber Law
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠31%Cyber Law (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 3,066
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Cyber Law attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Cyber Law vs sitewide
Cyber Law attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos