Topic summary

⁠0%1 analyzed article/video

BS Summary: These AI In Mining results contain 43 faulty reasoning types, including Negativity Bias, Overconfidence Bias, and Confirmation Bias, with Appeal to Authority as the most egregious example at 8.4% saturation with 825 hits. Analysis detected 6,716 faulty-reasoning hits from 9,834 analyzed words across 1 article, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 14,310 topics). This AI In Mining is better (less manipulative) than 100.00% of the peer group.

AI In Mining

Topic ranking list

Percentile	Topic	BS Score
⁠0%	Holocaust	1%
⁠0%	Privacy Policy	1%
⁠0%	Terms Of Use	1%
⁠0%	Self-Driving Cars	1%
⁠0%	Self Driving Cars	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%	AI In Mining (selected)	0%

Topic details

Total words: 9,834

Article count: 1

Authors

Frances Dinkelspiel

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Attribute Prevalence (Top 48)

AI In Mining attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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AI In Mining vs sitewide

AI In Mining attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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‘Technofantasy’ or ‘eureka’?: Berkeley’s $3 billion AI mining company⁠^41%

The Oaklandside⁠^5%By Frances Dinkelspiel⁠^0%7/14/2026, 5:14:39 PM