Keyword summary
⁠0%2 analyzed articles/videos970 analyzed words
BS Summary: These Tech Layoffs results contain 30 faulty reasoning types, including Framing Effect, Post Hoc (False Cause), and Optimism Bias, with Availability Heuristic as the most egregious example at 7.4% saturation with 287 hits. Analysis detected 3,158 faulty-reasoning hits from 3,880 analyzed words across 2 articles, generating a BS Score of 2.7% and a BS Rank of ⁠46% (15,527 of 28,615 keywords). This Tech Layoffs is better (less manipulative) than 54.30% of the peer group.
Tech Layoffs
Keyword ranking list
PercentileKeywordBS Score
⁠0%Self-Driving Cars1%
⁠0%Self Driving Cars1%
⁠0%Bastille Day1%
⁠0%Anthony Broadwater1%
⁠0%Alice Sebold1%
⁠46%Tech Layoffs (selected)3%
⁠100%Rad Power Bikes60%
⁠100%Mike Lewis60%
⁠100%Joni Balter60%
⁠100%Lawrence O'donnell69%
⁠100%Bondi Beach Shooting70%
Keyword details
Total words: 3,880
Article count: 2
Authors
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Attribute Prevalence (Top 48)
Tech Layoffs attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Tech Layoffs vs sitewide
Tech Layoffs attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos