Topic summary

⁠70%1 analyzed article/video2,123 analyzed words

BS Summary: These Museum Science results contain 31 faulty reasoning types, including Optimism Bias, Overconfidence Bias, and Hasty Generalization, with Anecdotal as the most egregious example at 10.4% saturation with 665 hits. Analysis detected 5,359 faulty-reasoning hits from 6,369 analyzed words across 1 article, generating a BS Score of 2.7% and a BS Rank of ⁠43% (8,272 of 14,344 topics). This Museum Science is better (less manipulative) than 57.70% of the peer group.

Museum Science

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%
⁠43%	Museum Science (selected)	3%
⁠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: 6,369

Article count: 1

Authors

Kenna Hughes-Castleberry

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Attribute Prevalence (Top 48)

Museum Science attribute prevalence percentages (biases/fallacies), sorted highest to lowest.

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Museum Science vs sitewide

Museum Science attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos

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'We were genuinely surprised': 'Superworms' can clean extremely delicate skeletons lickety-split, and that's a game changer for museums⁠^56%

Live Science⁠^7%By Kenna Hughes-Castleberry⁠^21%7/20/2026, 11:00:00 AM