Keyword summary
⁠58%1 analyzed article/video1,128 analyzed words
BS Summary: These In House AI Models results contain 28 faulty reasoning types, including Optimism Bias, Post Hoc (False Cause), and Confirmation Bias, with Overconfidence Bias as the most egregious example at 13.2% saturation with 597 hits. Analysis detected 3,971 faulty-reasoning hits from 4,512 analyzed words across 1 article, generating a BS Score of 3.1% and a BS Rank of ⁠55% (11,933 of 26,354 keywords). This In House AI Models is worse (more manipulative) than 54.70% of the peer group.
In House AI Models
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%French Revolution1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠55%In House AI Models (selected)4%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 4,512
Article count: 1
Authors
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Attribute Prevalence (Top 48)
In House AI Models attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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In House AI Models vs sitewide
In House AI Models attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos