Speaker summary
⁠35%1 analyzed article/video107.333 analyzed words
BS Summary: These Raúl Labrador results contain 4 faulty reasoning types, including Indoctrination, Hasty Generalization, and Recency Bias, with Appeal to Emotion as the most egregious example at 32.6% saturation with 56 hits. Analysis detected 166 faulty-reasoning hits from 107.333 analyzed words across 1 article, generating a BS Score of 24.1% and a BS Rank of ⁠41% (23,008 of 38,686 speakers). This Raúl Labrador is better (less manipulative) than 59.50% of the peer group.
Raúl Labrador
Speaker ranking list
PercentileSpeakerBS Score
⁠0%The Brookings Institution1%
⁠0%Conor Heffernan1%
⁠0%Gen Jack Keane1%
⁠0%MARGARET BRENNAN1%
⁠0%Shahryar Yadegar1%
⁠41%Raúl Labrador (selected)25%
⁠100%314 Action Fund100%
⁠100%21 Grams100%
⁠100%2035 Initiative100%
⁠100%1X representative100%
⁠100%1455 Storytelling Arts100%
Speaker details
Total words: 107.333
Article count: 1
Authors
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Ranking context

Position among analyzed speakers

41% percentile
025507510040.5% percentile
24.1% BS Score1 analyzed videos107.3 analyzed words

Reasoning profile

Selected profile versus the sitewide rate

SpeakerSitewideShared scale 0–50%
0.0%10%20%30%40%50%IndoctrinationSitewide 0.0%Speaker 31.4%31.4%Appeal to EmotionSitewide 15.9%Speaker 32.6%32.6%Recency BiasSitewide 2.7%Speaker 16.3%16.3%Hasty GeneralizationSitewide 8.1%Speaker 16.3%16.3%

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%Appeal to Emotion: Speaker 32.6%, sitewide 15.9%Indoctrination: Speaker 31.4%, sitewide 0.0%Hasty Generalization: Speaker 16.3%, sitewide 8.1%Recency Bias: Speaker 16.3%, sitewide 2.7%Appeal to EmotionSitewide rateSpeaker rate

Analyzed articles and videos