Topic summary
43%9 analyzed articles/videos8,372 analyzed words
BS Summary: These Snap results contain 51 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Hasty Generalization, with Framing Effect as the most egregious example at 8.3% saturation with 3,309 hits. Analysis detected 31,900 faulty-reasoning hits from 39,792 analyzed words across 9 articles, generating a BS Score of 1.6% and a BS Rank of 9% (13,786 of 15,142 topics). This Snap is better (less manipulative) than 91.00% of the peer group.

Ranking context

Position among analyzed topics

9% percentile
02550751009.0% percentile
1.6% BS Score9 analyzed articles39.8K analyzed words

Reasoning profile

Selected profile versus the sitewide rate

TopicSitewideShared scale 0–50%
0.0%10%20%30%40%50%Framing EffectSitewide 26.9%Topic 8.3%8.3%Negativity BiasSitewide 19.2%Topic 8.2%8.2%Appeal to EmotionSitewide 15.9%Topic 6.6%6.6%Appeal to AuthoritySitewide 11.1%Topic 4.1%4.1%Halo EffectSitewide 6.7%Topic 0.1%0.1%In-Group BiasSitewide 6.9%Topic 0.5%0.5%Availability HeuristicSitewide 9.1%Topic 3.2%3.2%Confirmation BiasSitewide 7.5%Topic 2.4%2.4%Optimism BiasSitewide 6.0%Topic 1.3%1.3%Overconfidence BiasSitewide 4.6%Topic 0.6%0.6%

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: Topic 8.3%, sitewide 26.9%Negativity Bias: Topic 8.2%, sitewide 19.2%Appeal to Emotion: Topic 6.6%, sitewide 15.9%Appeal to Authority: Topic 4.1%, sitewide 11.1%Availability Heuristic: Topic 3.2%, sitewide 9.1%Hasty Generalization: Topic 4.7%, sitewide 8.1%Confirmation Bias: Topic 2.4%, sitewide 7.5%In-Group Bias: Topic 0.5%, sitewide 6.9%Halo Effect: Topic 0.1%, sitewide 6.7%Optimism Bias: Topic 1.3%, sitewide 6.0%Biased Writer Voice: Topic 2.8%, sitewide 5.3%Anecdotal: Topic 4.7%, sitewide 5.2%Overconfidence Bias: Topic 0.6%, sitewide 4.6%Post Hoc (False Cause): Topic 4.6%, sitewide 3.3%Anchoring Bias: Topic 0.5%, sitewide 4.0%Self-Serving Bias: Topic 0.7%, sitewide 3.7%Pessimism Bias: Topic 3.6%, sitewide 1.9%Politically Left Leaning Bias: Topic 3.5%, sitewide 2.0%Out-Group Homogeneity Bias: Topic 0.1%, sitewide 3.1%Slippery Slope: Topic 3.0%, sitewide 1.7%Fundamental Attribution Error: Topic 1.2%, sitewide 2.7%Recency Bias: Topic 0.9%, sitewide 2.7%Loss Aversion: Topic 1.6%, sitewide 2.5%Bandwagon: Topic 0.2%, sitewide 2.2%Framing EffectSitewide rateTopic rate

Analyzed articles and videos

More Than 22,000 New Yorkers Lost SNAP Benefits Last Month Due to Federal Work Rules50%
City Limits55%By Daniel Parra70%7/20/2026, 9:27:52 PM
The Trump Administration Is Making It Nearly Impossible to Get Food Stamps34%
The Nation79%By Bryce Covert0%7/8/2026, 9:00:00 AM
Missouri and Illinois may soon owe millions of dollars for SNAP. Food advocates worry hunger will rise39%
STLPR0%By Rachel Cramer0% Anna Pope0%7/6/2026, 5:02:00 PM
Trump’s SNAP Cuts Leave States and Counties Facing Spiraling Hunger Crisis69%
Truthout75%By Mike Ludwig80%7/6/2026, 4:50:35 PM
Woman’s Complaint About Waiting for SNAP Benefits Sparks Debate: “I’ve Been Fiending My Whole Life to Get Food Stamps”75%
The Daily Dot55%By Akil Rashid62%7/4/2026, 5:56:39 PM
Have Your SNAP Benefits Ever Been Stolen? Help ProPublica Investigate.39%
ProPublica24%By Cassandra Garibay0% Eli Hager0%6/23/2026, 6:00:00 PM
A Trump administration policy could force thousands of retailers to stop accepting SNAP benefits37%
KCUR - Kansas City news and NPR55%By Hope Kirwan33%6/5/2026, 9:00:00 AM
Does the safety net need a safety net? With changes to SNAP, more Kansas Citians are losing benefits12%
KCUR - Kansas City news and NPR55%By Suzanne King23%5/31/2026, 9:00:00 AM
More than 10,000 Kansas children lose food assistance in wake of One Big Beautiful Bill Act57%
KCUR - Kansas City news and NPR55%By Tim Carpenter72%5/29/2026, 1:49:40 PM