Speaker summary
⁠55%1 analyzed article/video169.333 analyzed words
BS Summary: These Shawn Chen Flading results contain 10 faulty reasoning types, including Negativity Bias, Representativeness Heuristic, and Appeal to Emotion, with Overconfidence Bias as the most egregious example at 16.5% saturation with 42 hits. Analysis detected 315.5 faulty-reasoning hits from 169.333 analyzed words across 1 article, generating a BS Score of 13.7% and a BS Rank of ⁠20% (22,814 of 28,364 speakers). This Shawn Chen Flading is better (less manipulative) than 80.40% of the peer group.
Shawn Chen Flading
Speaker details
Total words: 169.333
Article count: 1
Authors

Ranking context

Position among analyzed speakers

20% percentile
025507510019.6% percentile
13.7% BS Score1 analyzed videos169.3 analyzed words

Reasoning profile

Selected profile versus the sitewide rate

SpeakerSitewideShared scale 0–25%
0.0%5%10%15%20%25%Representativeness Heuris…Sitewide 1.9%Speaker 15.3%15.3%Overconfidence BiasSitewide 4.6%Speaker 16.5%16.5%Hasty GeneralizationSitewide 8.1%Speaker 19.1%19.1%AnecdotalSitewide 5.2%Speaker 13.4%13.4%Appeal to NatureSitewide 0.2%Speaker 7.9%7.9%Post Hoc (False Cause)Sitewide 3.3%Speaker 9.1%9.1%Self-Serving BiasSitewide 3.7%Speaker 7.9%7.9%Availability HeuristicSitewide 9.1%Speaker 11.8%11.8%Negativity BiasSitewide 19.2%Speaker 21.9%21.9%Appeal to EmotionSitewide 15.9%Speaker 14.6%14.6%

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%Negativity Bias: Speaker 21.9%, sitewide 19.2%Hasty Generalization: Speaker 19.1%, sitewide 8.1%Overconfidence Bias: Speaker 16.5%, sitewide 4.6%Appeal to Emotion: Speaker 14.6%, sitewide 15.9%Representativeness Heuristic: Speaker 15.3%, sitewide 1.9%Anecdotal: Speaker 13.4%, sitewide 5.2%Availability Heuristic: Speaker 11.8%, sitewide 9.1%Post Hoc (False Cause): Speaker 9.1%, sitewide 3.3%Appeal to Nature: Speaker 7.9%, sitewide 0.2%Self-Serving Bias: Speaker 7.9%, sitewide 3.7%Negativity BiasSitewide rateSpeaker rate

Analyzed articles and videos