Topic summary

⁠0%1 analyzed article/video

BS Summary: These Technology Impact On Jobs results contain 29 faulty reasoning types, including Negativity Bias, Framing Effect, and Self-Serving Bias, with Appeal to Emotion as the most egregious example at 20.8% saturation with 463 hits. Analysis detected 2,790 faulty-reasoning hits from 2,224 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 12,760 topics). This Technology Impact On Jobs is better (less manipulative) than 100.00% of the peer group.

Technology Impact On Jobs

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%	Pizza Oven	1%
⁠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%
⁠0%	Technology Impact On Jobs (selected)	0%

Topic details

Total words: 2,224

Article count: 1

Authors

Frank Landymore

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Attribute Prevalence (Top 48)

Technology Impact On Jobs attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Technology Impact On Jobs vs sitewide

Technology Impact On Jobs attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Health Care Workers Furious as NYC Replaces Nurses With AI⁠^65%

Futurism⁠^89%By Frank Landymore⁠^73%7/15/2026, 6:32:49 PM