Topic summary

⁠0%1 analyzed article/video

BS Summary: These Wildfire Detection results contain 23 faulty reasoning types, including Appeal to Authority, Negativity Bias, and Post Hoc (False Cause), with Optimism Bias as the most egregious example at 13.7% saturation with 331 hits. Analysis detected 1,940 faulty-reasoning hits from 2,418 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 13,721 topics). This Wildfire Detection is better (less manipulative) than 100.00% of the peer group.

Wildfire Detection

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Holocaust	1%
⁠0%	Self-Driving Cars	1%
⁠0%	Self Driving Cars	1%
⁠0%	Oakland Culture	1%
⁠0%	Dive Bars	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%	Wildfire Detection (selected)	0%

Topic details

Total words: 2,418

Article count: 1

Authors

Jeremy Hsu

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Attribute Prevalence (Top 48)

Wildfire Detection attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Wildfire Detection vs sitewide

Wildfire Detection attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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Google-backed satellites for wildfire detection launch as smoke chokes US, Canada⁠^59%

Ars Technica⁠^21%By Jeremy Hsu⁠^25%7/17/2026, 7:50:18 PM