Speaker summary
91%1 analyzed article/video92 analyzed words
BS Summary: These New York State Nurses Association (NYSNA) results contain 10 faulty reasoning types, including Anecdotal, Appeal to Emotion, and Biased Writer Voice, with Ad Hominem as the most egregious example at 65.2% saturation with 60 hits. Analysis detected 544 faulty-reasoning hits from 92 analyzed words across 1 article, generating a BS Score of 59.1% and a BS Rank of 75% (7,154 of 28,364 speakers). This New York State Nurses Association (NYSNA) is worse (more manipulative) than 74.80% of the peer group.
New York State Nurses Association (NYSNA)
Speaker details
Total words: 92
Article count: 1
Authors

Ranking context

Position among analyzed speakers

75% percentile
025507510074.8% percentile
59.1% BS Score1 analyzed videos92 analyzed words

Reasoning profile

Selected profile versus the sitewide rate

SpeakerSitewideShared scale 0–75%
0.0%20%40%60%Politically Left Leaning …Sitewide 2.0%Speaker 65.2%65.2%Ad HominemSitewide 2.2%Speaker 65.2%65.2%Post Hoc (False Cause)Sitewide 3.3%Speaker 65.2%65.2%AnecdotalSitewide 5.2%Speaker 65.2%65.2%Biased Writer VoiceSitewide 5.3%Speaker 65.2%65.2%In-Group BiasSitewide 6.9%Speaker 65.2%65.2%Appeal to EmotionSitewide 15.9%Speaker 65.2%65.2%Negativity BiasSitewide 19.2%Speaker 65.2%65.2%Ambiguity (Equivocation)Sitewide 0.8%Speaker 34.8%34.8%Confirmation BiasSitewide 7.5%Speaker 34.8%34.8%

Sitewide departure map

Above the diagonal means this profile uses the pattern more often

0.0%0.0%20%20%40%40%60%60%Ad Hominem: Speaker 65.2%, sitewide 2.2%Anecdotal: Speaker 65.2%, sitewide 5.2%Appeal to Emotion: Speaker 65.2%, sitewide 15.9%Biased Writer Voice: Speaker 65.2%, sitewide 5.3%In-Group Bias: Speaker 65.2%, sitewide 6.9%Negativity Bias: Speaker 65.2%, sitewide 19.2%Politically Left Leaning Bias: Speaker 65.2%, sitewide 2.0%Post Hoc (False Cause): Speaker 65.2%, sitewide 3.3%Ambiguity (Equivocation): Speaker 34.8%, sitewide 0.8%Confirmation Bias: Speaker 34.8%, sitewide 7.5%Ad HominemSitewide rateSpeaker rate

Analyzed articles and videos