Keyword summary
⁠70%1 analyzed article/video1,172 analyzed words
BS Summary: These Kubernetes Tokens results contain 30 faulty reasoning types, including Indoctrination, Ambiguity (Equivocation), and Hasty Generalization, with Negativity Bias as the most egregious example at 10% saturation with 351 hits. Analysis detected 3,019 faulty-reasoning hits from 3,516 analyzed words across 1 article, generating a BS Score of 2.9% and a BS Rank of ⁠50% (14,740 of 29,242 keywords). This Kubernetes Tokens is better (less manipulative) than 50.40% of the peer group.
Kubernetes Tokens
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Borders1%
⁠0%French Revolution1%
⁠50%Kubernetes Tokens (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 3,516
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Kubernetes Tokens attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Kubernetes Tokens vs sitewide
Kubernetes Tokens attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos