Speaker summary
50% 1 analyzed article/video 131 analyzed words
BS Summary: These Tom Hurley results contain 9 faulty reasoning types, including In-Group Bias , Loss Aversion , and Negativity Bias , with Appeal to Emotion as the most egregious example at 40.6% saturation with 65.089 hits . Analysis detected 296.089 faulty-reasoning hits from 131 analyzed words across 1 article, generating a BS Score of 14.8% and a BS Rank of 22% (22,113 of 28,364 speakers). This Tom Hurley is better (less manipulative) than 78.00% of the peer group. Tom Hurley
Speaker details
Total words: 131
Article count: 1
Authors
Ranking context Position among analyzed speakers
22% percentile 0 25 50 75 100 22.0% percentile 14.8% BS Score1 analyzed videos131 analyzed words
Reasoning profile Selected profile versus the sitewide rate
Highest rates Largest gaps
Speaker SitewideShared scale 0–50%
0.0% 10% 20% 30% 40% 50% Appeal to Emotion Sitewide 15.9% Speaker 40.5% 40.5% Framing Effect Sitewide 26.9% Speaker 6.0% 6.0% In-Group Bias Sitewide 6.9% Speaker 19.7% 19.7% Loss Aversion Sitewide 2.5% Speaker 14.9% 14.9% Post Hoc (False Cause) Sitewide 3.3% Speaker 14.9% 14.9% Self-Serving Bias Sitewide 3.7% Speaker 9.6% 9.6% Negativity Bias Sitewide 19.2% Speaker 14.9% 14.9% Optimism Bias Sitewide 6.0% Speaker 9.6% 9.6% Quote-first Misdirection Sitewide 0.0% Speaker 3.2% 3.2% 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 40.5%, sitewide 15.9% Framing Effect: Speaker 6.0%, sitewide 26.9% In-Group Bias: Speaker 19.7%, sitewide 6.9% Negativity Bias: Speaker 14.9%, sitewide 19.2% Loss Aversion: Speaker 14.9%, sitewide 2.5% Post Hoc (False Cause): Speaker 14.9%, sitewide 3.3% Optimism Bias: Speaker 9.6%, sitewide 6.0% Self-Serving Bias: Speaker 9.6%, sitewide 3.7% Quote-first Misdirection: Speaker 3.2%, sitewide 0.0% Appeal to Emotion Sitewide rate Speaker rate Analyzed articles and videos Sort by Most recent Article rank - best Article rank - worst