Speaker summary
52% 16 analyzed articles/videos 1,476.333 analyzed words
BS Summary: These Michelle Wu results contain 33 faulty reasoning types, including Framing Effect , Confirmation Bias , and Optimism Bias , with Appeal to Emotion as the most egregious example at 27.2% saturation with 598.103 hits . Analysis detected 3,278.378 faulty-reasoning hits from 1,476.333 analyzed words across 16 articles, generating a BS Score of 4% and a BS Rank of 2% (27,966 of 28,364 speakers). This Michelle Wu is better (less manipulative) than 98.60% of the peer group. Michelle Wu
Speaker details
Total words: 1,476.333
Article count: 16
Authors
Ranking context Position among analyzed speakers
1% percentile 0 25 50 75 100 1.4% percentile 4.0% BS Score16 analyzed videos1.5K analyzed words
Reasoning profile Selected profile versus the sitewide rate
Highest rates Largest gaps
Shared scale 0–50%
0.0% 10% 20% 30% 40% 50% Negativity Bias Sitewide 19.2% Speaker 4.6% 4.6% Framing Effect Sitewide 26.9% Speaker 12.3% 12.3% Appeal to Emotion Sitewide 15.9% Speaker 27.2% 27.2% Appeal to Authority Sitewide 11.1% Speaker 0.7% 0.7% Availability Heuristic Sitewide 9.1% Speaker 2.1% 2.1% False Dilemma Sitewide 1.5% Speaker 7.0% 7.0% Hasty Generalization Sitewide 8.1% Speaker 2.9% 2.9% Anecdotal Sitewide 5.2% Speaker 0.8% 0.8% Biased Writer Voice Sitewide 5.3% Speaker 1.7% 1.7% Indoctrination Sitewide 0.0% Speaker 3.4% 3.4% 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 27.2%, sitewide 15.9% Framing Effect: Speaker 12.3%, sitewide 26.9% Negativity Bias: Speaker 4.6%, sitewide 19.2% Appeal to Authority: Speaker 0.7%, sitewide 11.1% Availability Heuristic: Speaker 2.1%, sitewide 9.1% Optimism Bias: Speaker 8.5%, sitewide 6.0% Hasty Generalization: Speaker 2.9%, sitewide 8.1% Confirmation Bias: Speaker 7.9%, sitewide 7.5% False Dilemma: Speaker 7.0%, sitewide 1.5% In-Group Bias: Speaker 3.7%, sitewide 6.9% Halo Effect: Speaker 5.5%, sitewide 6.7% Biased Writer Voice: Speaker 1.7%, sitewide 5.3% Anecdotal: Speaker 0.8%, sitewide 5.2% Loss Aversion: Speaker 5.1%, sitewide 2.5% Overconfidence Bias: Speaker 4.0%, sitewide 4.6% Begging the Question: Speaker 4.0%, sitewide 1.7% Self-Serving Bias: Speaker 3.5%, sitewide 3.7% Indoctrination: Speaker 3.4%, sitewide 0.0% Post Hoc (False Cause): Speaker 2.6%, sitewide 3.3% Quote-first Misdirection: Speaker 3.1%, sitewide 0.0% Fundamental Attribution Error: Speaker 1.7%, sitewide 2.7% Ambiguity (Equivocation): Speaker 2.6%, sitewide 0.8% Status Quo Bias: Speaker 2.5%, sitewide 2.2% Primacy Effect: Speaker 2.5%, sitewide 0.9% Appeal to Emotion Sitewide rate Speaker rate Analyzed articles and videos Sort by Most recent Article rank - best Article rank - worst