Keyword summary
45%14 analyzed articles/videos7,793 analyzed words
BS Summary: These Transit results contain 51 faulty reasoning types, including Framing Effect, Hasty Generalization, and Appeal to Emotion, with Negativity Bias as the most egregious example at 5.9% saturation with 2,110 hits. Analysis detected 26,801 faulty-reasoning hits from 35,977 analyzed words across 14 articles, generating a BS Score of 1.5% and a BS Rank of 8% (33,927 of 36,557 keywords). This Transit is better (less manipulative) than 92.80% of the peer group.

Ranking context

Position among analyzed keywords

7% percentile
02550751007.2% percentile
1.5% BS Score14 analyzed articles36K analyzed words

Reasoning profile

Selected profile versus the sitewide rate

KeywordSitewideShared scale 0–50%
0.0%10%20%30%40%50%Framing EffectSitewide 26.9%Keyword 5.2%5.2%Negativity BiasSitewide 19.2%Keyword 5.9%5.9%Appeal to EmotionSitewide 15.9%Keyword 4.7%4.7%Appeal to AuthoritySitewide 11.1%Keyword 4.2%4.2%In-Group BiasSitewide 6.9%Keyword 0.9%0.9%Availability HeuristicSitewide 9.1%Keyword 3.2%3.2%Halo EffectSitewide 6.7%Keyword 1.4%1.4%Confirmation BiasSitewide 7.5%Keyword 4.0%4.0%Hasty GeneralizationSitewide 8.1%Keyword 4.8%4.8%Overconfidence BiasSitewide 4.6%Keyword 1.3%1.3%

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: Keyword 5.2%, sitewide 26.9%Negativity Bias: Keyword 5.9%, sitewide 19.2%Appeal to Emotion: Keyword 4.7%, sitewide 15.9%Appeal to Authority: Keyword 4.2%, sitewide 11.1%Availability Heuristic: Keyword 3.2%, sitewide 9.1%Hasty Generalization: Keyword 4.8%, sitewide 8.1%Confirmation Bias: Keyword 4.0%, sitewide 7.5%In-Group Bias: Keyword 0.9%, sitewide 6.9%Halo Effect: Keyword 1.4%, sitewide 6.7%Optimism Bias: Keyword 4.0%, sitewide 6.0%Biased Writer Voice: Keyword 2.9%, sitewide 5.3%Anecdotal: Keyword 2.7%, sitewide 5.2%Overconfidence Bias: Keyword 1.3%, sitewide 4.6%Anchoring Bias: Keyword 1.3%, sitewide 4.0%Self-Serving Bias: Keyword 1.8%, sitewide 3.7%Post Hoc (False Cause): Keyword 2.9%, sitewide 3.3%Out-Group Homogeneity Bias: Keyword 0.9%, sitewide 3.1%Fundamental Attribution Error: Keyword 1.1%, sitewide 2.7%Recency Bias: Keyword 1.4%, sitewide 2.7%Loss Aversion: Keyword 0.7%, sitewide 2.5%Bandwagon: Keyword 1.0%, sitewide 2.2%Status Quo Bias: Keyword 1.0%, sitewide 2.2%Ad Hominem: Keyword 0.6%, sitewide 2.2%Ambiguity (Equivocation): Keyword 2.0%, sitewide 0.8%Framing EffectSitewide rateKeyword rate

Analyzed articles and videos

White House officially asks permission to change name of Penn Station after hinting it will be called ‘Trump’43%
Fortune54%By Philip Marcelo24% The Associated Press63%7/24/2026, 12:39:33 PM
Berkeley's Hopkins Street bike lane proposal heads to a vote53%
San Francisco Chronicle10%By Rachel Swan66%7/24/2026, 11:00:00 AM
Metro tried to make bus service better. Somehow, ridership and speeds are both down3%
The 51st0%By Rachel Weiner0%7/23/2026, 5:50:30 PM
Teenage girl injured while subway surfing in Queens57%
amNewYork42%By Dean Moses51%7/22/2026, 9:30:21 PM
VTA’s Record-Breaking World Cup Ridership Nets Just Around $1 Per Trip41%
KQED61%By Azul Dahlstrom-Eckman30%7/22/2026, 11:00:00 AM
Re-opening the Great Highway to cars could cost 14 million22%
Mission Local25%By Nicholas David0%7/11/2026, 1:00:00 PM
MetroLink starts rollout of new automated fare gates, security cameras57%
STLPR0%By Annisyn Krebs-Carr0%7/6/2026, 9:46:36 PM
I Talked to Trump Supporters About Cuts to the Train… on the Train66%
Mother Jones49%By Chris Vazquez0%7/2/2026, 11:12:10 PM
Trailnet’s report shows St. Louis communities of color are impacted the most by traffic violence20%
STLPR0%By Andrea Y. Henderson0%6/26/2026, 10:00:00 AM
What is the best use for old railroad tracks? New Yorkers have opinions.33%
Grist26%By Benton Graham0%6/12/2026, 8:15:00 AM