Speaker summary
⁠84%3 analyzed articles/videos23.667 analyzed words
BS Summary: These Smithsonian Institution results contain 6 faulty reasoning types, including Anecdotal, Confirmation Bias, and Unattributed Quote, with Ambiguity (Equivocation) as the most egregious example at 75.6% saturation with 34 hits. Analysis detected 159 faulty-reasoning hits from 23.667 analyzed words across 3 articles and videos, generating a BS Score of 75% and a BS Rank of ⁠81% (5,639 of 28,364 speakers). This Smithsonian Institution is worse (more manipulative) than 80.10% of the peer group.
Smithsonian Institution
Speaker ranking list
PercentileSpeakerBS Score
⁠0%The Brookings Institution1%
⁠0%Gen Jack Keane1%
⁠0%Shahryar Yadegar1%
⁠0%Mike Muse1%
⁠0%Manhattan Institute for Policy Research, Inc.1%
⁠81%Smithsonian Institution (selected)75%
⁠100%4MATIV100%
⁠100%42nd Avenue and High Street I-880 access improvement project page100%
⁠100%314 Action Fund100%
⁠100%21 Grams100%
⁠100%1X representative100%
Speaker details
Total words: 23.667
Content count: 3
Authors

Ranking context

Position among analyzed speakers

80% percentile
025507510080.1% percentile
75.0% BS Score3 analyzed videos23.7 analyzed words

Reasoning profile

Selected profile versus the sitewide rate

SpeakerSitewideShared scale 0–125%
0.0%20%40%60%80%100%120%Self-Serving BiasSitewide 3.7%Speaker 100.0%100.0%Ambiguity (Equivocation)Sitewide 0.8%Speaker 75.6%75.6%Unattributed QuoteSitewide 1.1%Speaker 75.6%75.6%AnecdotalSitewide 5.2%Speaker 75.6%75.6%Confirmation BiasSitewide 7.5%Speaker 75.6%75.6%Begging the QuestionSitewide 1.7%Speaker 47.6%47.6%

Sitewide departure map

Above the diagonal means this profile uses the pattern more often

0.0%0.0%20%20%40%40%60%60%80%80%100%100%120%120%Self-Serving Bias: Speaker 100.0%, sitewide 3.7%Ambiguity (Equivocation): Speaker 75.6%, sitewide 0.8%Anecdotal: Speaker 75.6%, sitewide 5.2%Confirmation Bias: Speaker 75.6%, sitewide 7.5%Unattributed Quote: Speaker 75.6%, sitewide 1.1%Begging the Question: Speaker 47.6%, sitewide 1.7%Self-Serving BiasSitewide rateSpeaker rate

Analyzed articles and videos