Speaker summary
⁠61%1 analyzed article/video58.667 analyzed words
BS Summary: These Habib-un-Nisaa Sheikh results contain 4 faulty reasoning types, including Fundamental Attribution Error, Begging the Question, and Negativity Bias, with Appeal to Emotion as the most egregious example at 50% saturation with 44 hits. Analysis detected 146 faulty-reasoning hits from 58.667 analyzed words across 1 article, generating a BS Score of 51.1% and a BS Rank of ⁠73% (10,483 of 38,663 speakers). This Habib-un-Nisaa Sheikh is worse (more manipulative) than 72.90% of the peer group.
Habib-un-Nisaa Sheikh
Speaker ranking list
PercentileSpeakerBS Score
⁠0%The Brookings Institution1%
⁠0%Conor Heffernan1%
⁠0%Gen Jack Keane1%
⁠0%MARGARET BRENNAN1%
⁠0%Shahryar Yadegar1%
⁠73%Habib-un-Nisaa Sheikh (selected)52%
⁠100%314 Action Fund100%
⁠100%21 Grams100%
⁠100%2035 Initiative100%
⁠100%1X representative100%
⁠100%1455 Storytelling Arts100%
Speaker details
Total words: 58.667
Article count: 1
Authors

Ranking context

Position among analyzed speakers

73% percentile
025507510072.9% percentile
51.1% BS Score1 analyzed videos58.7 analyzed words

Reasoning profile

Selected profile versus the sitewide rate

SpeakerSitewideShared scale 0–100%
0.0%20%40%60%80%100%Fundamental Attribution E…Sitewide 2.7%Speaker 77.3%77.3%Begging the QuestionSitewide 1.7%Speaker 38.6%38.6%Appeal to EmotionSitewide 15.9%Speaker 50.0%50.0%Negativity BiasSitewide 19.2%Speaker 38.6%38.6%

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%Fundamental Attribution Error: Speaker 77.3%, sitewide 2.7%Appeal to Emotion: Speaker 50.0%, sitewide 15.9%Begging the Question: Speaker 38.6%, sitewide 1.7%Negativity Bias: Speaker 38.6%, sitewide 19.2%Fundamental Attribution ErrorSitewide rateSpeaker rate

Analyzed articles and videos