Author summary
4% 1 analyzed article/video 208 analyzed words
BS Summary: These Maggie Prosser results contain 9 faulty reasoning types, including Optimism Bias , Availability Heuristic , and Appeal to Emotion , with Appeal to Authority as the most egregious example at 9.1% saturation with 57 hits . Analysis detected 199 faulty-reasoning hits from 624 analyzed words across 1 article, generating a BS Score of 3.5% and a BS Rank of 69% (1,981 of 6,360 authors). This Maggie Prosser is worse (more manipulative) than 68.90% of the peer group. Maggie Prosser
Author details
Total words: 624
Article count: 1
Publications
Ranking context Position among analyzed authors
69% percentile 0 25 50 75 100 68.9% percentile 3.5% BS Score1 analyzed articles624 analyzed words
Reasoning profile Selected profile versus the sitewide rate
Highest rates Largest gaps
Author SitewideShared scale 0–25%
0.0% 5% 10% 15% 20% 25% Appeal to Emotion Sitewide 15.9% Author 2.7% 2.7% Hasty Generalization Sitewide 8.1% Author 1.4% 1.4% Availability Heuristic Sitewide 9.1% Author 4.2% 4.2% Quote-first Misdirection Sitewide 0.0% Author 2.7% 2.7% Biased Writer Voice Sitewide 5.3% Author 2.7% 2.7% Appeal to Authority Sitewide 11.1% Author 9.1% 9.1% Bandwagon Sitewide 2.2% Author 1.1% 1.1% Unattributed Quote Sitewide 1.1% Author 2.1% 2.1% Optimism Bias Sitewide 6.0% Author 5.8% 5.8% Sitewide departure map Above the diagonal means this profile uses the pattern more often
0.0% 0.0% 5% 5% 10% 10% 15% 15% 20% 20% 25% 25% Appeal to Emotion: Author 2.7%, sitewide 15.9% Appeal to Authority: Author 9.1%, sitewide 11.1% Availability Heuristic: Author 4.2%, sitewide 9.1% Hasty Generalization: Author 1.4%, sitewide 8.1% Optimism Bias: Author 5.8%, sitewide 6.0% Biased Writer Voice: Author 2.7%, sitewide 5.3% Quote-first Misdirection: Author 2.7%, sitewide 0.0% Bandwagon: Author 1.1%, sitewide 2.2% Unattributed Quote: Author 2.1%, sitewide 1.1% Appeal to Emotion Sitewide rate Author rate Analyzed articles and videos Sort by Most recent Article rank - best Article rank - worst