Topic summary

⁠0%1 analyzed article/video

BS Summary: These Facial Recognition Technology results contain 9 faulty reasoning types, including Negativity Bias, Indoctrination, and Loss Aversion, with Framing Effect as the most egregious example at 15.9% saturation with 41 hits. Analysis detected 207 faulty-reasoning hits from 258 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 12,274 topics). This Facial Recognition Technology is better (less manipulative) than 100.00% of the peer group.

Facial Recognition Technology

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%
⁠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%	Facial Recognition Technology (selected)	0%

Topic details

Total words: 258

Article count: 1

Authors

Loading chart...

Attribute Prevalence (Top 48)

Facial Recognition Technology attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

Loading chart...

Facial Recognition Technology vs sitewide

Facial Recognition Technology attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

Sort by

Cyber Monday: Regulating facial recognition⁠^39%

WAMU⁠^15%7/13/2026, 12:58:11 PM