Speaker summary
⁠43%4 analyzed articles/videos64.333 analyzed words
BS Summary: These Federal health officials results contain 7 faulty reasoning types, including Appeal to Authority, Biased Writer Voice, and False Dilemma, with Confirmation Bias as the most egregious example at 36.1% saturation with 53 hits. Analysis detected 225 faulty-reasoning hits from 64.333 analyzed words across 4 articles, generating a BS Score of 21.9% and a BS Rank of ⁠38% (28,219 of 45,063 speakers). This Federal health officials is better (less manipulative) than 62.60% of the peer group.
Federal health officials
Speaker ranking list
PercentileSpeakerBS Score
⁠0%Paul Heideman1%
⁠0%The Brookings Institution1%
⁠0%Conor Heffernan1%
⁠0%Gen Jack Keane1%
⁠0%Katy Longshore1%
⁠38%Federal health officials (selected)22%
⁠100%291 Brewhouse100%
⁠100%21 Grams100%
⁠100%2035 Initiative100%
⁠100%1X representative100%
⁠100%1455 Storytelling Arts100%
Speaker details
Total words: 64.333
Article count: 4
Authors

Ranking context

Position among analyzed speakers

37% percentile
025507510037.4% percentile
21.9% BS Score4 analyzed videos64.3 analyzed words

Reasoning profile

Selected profile versus the sitewide rate

SpeakerSitewideShared scale 0–50%
0.0%10%20%30%40%50%Confirmation BiasSitewide 7.5%Speaker 36.0%36.0%Appeal to AuthoritySitewide 11.1%Speaker 31.3%31.3%False DilemmaSitewide 1.5%Speaker 17.0%17.0%Burden of ProofSitewide 0.4%Speaker 15.7%15.7%Biased Writer VoiceSitewide 5.3%Speaker 20.4%20.4%Begging the QuestionSitewide 1.7%Speaker 15.7%15.7%Framing EffectSitewide 26.9%Speaker 17.0%17.0%

Sitewide departure map

Above the diagonal means this profile uses the pattern more often

0.0%0.0%10%10%20%20%30%30%40%40%50%50%Confirmation Bias: Speaker 36.0%, sitewide 7.5%Appeal to Authority: Speaker 31.3%, sitewide 11.1%Framing Effect: Speaker 17.0%, sitewide 26.9%Biased Writer Voice: Speaker 20.4%, sitewide 5.3%False Dilemma: Speaker 17.0%, sitewide 1.5%Begging the Question: Speaker 15.7%, sitewide 1.7%Burden of Proof: Speaker 15.7%, sitewide 0.4%Confirmation BiasSitewide rateSpeaker rate

Analyzed articles and videos