Topic summary

⁠18%1 analyzed article/video1,010 analyzed words

BS Summary: These Big Tech Earnings results contain 26 faulty reasoning types, including Post Hoc (False Cause), Overconfidence Bias, and Halo Effect, with Attempt to Sell a Product or Service as the most egregious example at 5.7% saturation with 232 hits. Analysis detected 1,480 faulty-reasoning hits from 4,040 analyzed words across 1 article, generating a BS Score of 1.4% and a BS Rank of ⁠14% (18,295 of 21,203 topics). This Big Tech Earnings is better (less manipulative) than 86.30% of the peer group.

Big Tech Earnings

Topic ranking list

Percentile	Topic	BS Score
⁠0%	4-H Schedule	1%
⁠0%	4 H Schedule	1%
⁠0%	Musician Biographies	1%
⁠0%	Back-To-School	1%
⁠0%	Cleveland Politics	1%
⁠14%	Big Tech Earnings (selected)	2%
⁠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: 4,040

Article count: 1

Authors

Alexa LoMonaco

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Attribute Prevalence (Top 48)

Big Tech Earnings attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Big Tech Earnings vs sitewide

Big Tech Earnings attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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From a Fed decision to Big Tech earnings: What drove last week's volatile market⁠^17%

CNBC⁠^65%By Alexa LoMonaco⁠^58%8/1/2026, 5:16:13 AM