Topic summary

⁠96%1 analyzed article/video325 analyzed words

BS Summary: These Technological Unemployment results contain 16 faulty reasoning types, including Framing Effect, Anecdotal, and Biased Writer Voice, with Negativity Bias as the most egregious example at 22.5% saturation with 219 hits. Analysis detected 1,169 faulty-reasoning hits from 975 analyzed words across 1 article, generating a BS Score of 7.5% and a BS Rank of ⁠84% (1,993 of 12,095 topics). This Technological Unemployment is worse (more manipulative) than 83.50% of the peer group.

Technological Unemployment

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Holocaust	1%
⁠0%	Self-Driving Cars	1%
⁠0%	Self Driving Cars	1%
⁠0%	Survival Stories	1%
⁠0%	Gender Identity	1%
⁠84%	Technological Unemployment (selected)	8%
⁠100%	Radio Roundup / Week In Review	60%
⁠100%	E-Bikes / Rad Power Bikes	60%
⁠100%	E Bikes Rad Power Bikes	60%
⁠100%	The Last Word With Lawrence O'donnell	69%
⁠100%	The Last Word With Lawrence Odonnell	69%

Topic details

Total words: 975

Article count: 1

Authors

Katy Habr

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Attribute Prevalence (Top 48)

Technological Unemployment attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Technological Unemployment vs sitewide

Technological Unemployment attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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AI Is Contributing to the Gigification of Work⁠^71%

Jacobin⁠^60%By Katy Habr⁠^95%7/10/2026, 12:00:44 PM