Speaker summary
55%10 analyzed articles/videos961.333 analyzed words
BS Summary: These Megan Green results contain 28 faulty reasoning types, including Appeal to Emotion, Appeal to Authority, and Negativity Bias, with Optimism Bias as the most egregious example at 16.2% saturation with 175.341 hits. Analysis detected 1,645.474 faulty-reasoning hits from 961.333 analyzed words across 10 articles, generating a BS Score of 5% and a BS Rank of 3% (27,643 of 28,364 speakers). This Megan Green is better (less manipulative) than 97.50% of the peer group.
Megan Green
Speaker details
Total words: 961.333
Article count: 10
Authors

Ranking context

Position among analyzed speakers

3% percentile
02550751002.5% percentile
5.0% BS Score10 analyzed videos961.3 analyzed words

Reasoning profile

Selected profile versus the sitewide rate

SpeakerSitewideShared scale 0–50%
0.0%10%20%30%40%50%Framing EffectSitewide 26.9%Speaker 6.0%6.0%Negativity BiasSitewide 19.2%Speaker 9.0%9.0%Optimism BiasSitewide 6.0%Speaker 16.2%16.2%Availability HeuristicSitewide 9.1%Speaker 2.6%2.6%Middle GroundSitewide 0.1%Speaker 4.9%4.9%IndoctrinationSitewide 0.0%Speaker 4.0%4.0%Biased Writer VoiceSitewide 5.3%Speaker 1.8%1.8%Appeal to AuthoritySitewide 11.1%Speaker 7.7%7.7%In-Group BiasSitewide 6.9%Speaker 3.8%3.8%Begging the QuestionSitewide 1.7%Speaker 4.8%4.8%

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%Framing Effect: Speaker 6.0%, sitewide 26.9%Negativity Bias: Speaker 9.0%, sitewide 19.2%Optimism Bias: Speaker 16.2%, sitewide 6.0%Appeal to Emotion: Speaker 15.2%, sitewide 15.9%Appeal to Authority: Speaker 7.7%, sitewide 11.1%Availability Heuristic: Speaker 2.6%, sitewide 9.1%Hasty Generalization: Speaker 7.2%, sitewide 8.1%Confirmation Bias: Speaker 5.9%, sitewide 7.5%In-Group Bias: Speaker 3.8%, sitewide 6.9%Biased Writer Voice: Speaker 1.8%, sitewide 5.3%Anecdotal: Speaker 5.0%, sitewide 5.2%Overconfidence Bias: Speaker 5.1%, sitewide 4.6%Ad Hominem: Speaker 5.0%, sitewide 2.2%Middle Ground: Speaker 4.9%, sitewide 0.1%Begging the Question: Speaker 4.8%, sitewide 1.7%Pessimism Bias: Speaker 4.4%, sitewide 1.9%Fundamental Attribution Error: Speaker 4.3%, sitewide 2.7%Anchoring Bias: Speaker 3.6%, sitewide 4.0%Indoctrination: Speaker 4.0%, sitewide 0.0%Self-Serving Bias: Speaker 2.2%, sitewide 3.7%Bandwagon: Speaker 3.3%, sitewide 2.2%Slippery Slope: Speaker 3.2%, sitewide 1.7%Ambiguity (Equivocation): Speaker 3.0%, sitewide 0.8%False Dilemma: Speaker 3.0%, sitewide 1.5%Framing EffectSitewide rateSpeaker rate

Analyzed articles and videos

Proposed St. Louis data center rules clear hurdle as lobbyists groan that they're an effective ban26%
STLPR0%By Kavahn Mansouri59%7/7/2026, 8:38:01 PM
After nearly 4 years and a tornado, St. Louis plan to spend $255M Rams settlement passes36%
STLPR0%By Rachel Lippmann0%7/2/2026, 10:40:46 PM
St. Louis police get less than they asked for in city’s $1.4B budget14%
STLPR0%By Rachel Lippmann0%6/26/2026, 9:28:21 PM
After four years, St. Louis inches closer to spending its Rams settlement money44%
STLPR0%By Rachel Lippmann0%6/18/2026, 11:11:29 PM
St. Louis uses police department lawsuit settlement fund for fire department raises24%
STLPR0%By Rachel Lippmann0%6/18/2026, 4:09:31 PM
St. Louis aldermen mull oversight of tornado Recovery Office set to get millions from Rams settlement23%
STLPR0%By Kavahn Mansouri59%6/11/2026, 10:00:00 AM
St. Louis aldermen move forward with Rams settlement bill as tempers flare over tornado funding38%
STLPR0%By Kavahn Mansouri59%6/10/2026, 10:00:00 AM
North St. Louis residents call for $150M of Rams settlement funds for tornado recovery16%
STLPR0%By Kavahn Mansouri59%6/4/2026, 5:34:44 PM
Judge rules St. Louis did not short the police department by $68M in current budget12%
STLPR0%By Rachel Lippmann0%6/2/2026, 9:04:21 PM
Tornado recovery advocates and downtown investors are divided on Rams settlement spending16%
STLPR0%By Katie Grawitch0%5/26/2026, 11:37:07 PM