Keyword summary
53%11 analyzed articles/videos5,399 analyzed words
BS Summary: These Kalshi results contain 53 faulty reasoning types, including Hasty Generalization, Framing Effect, and Biased Writer Voice, with Negativity Bias as the most egregious example at 10.4% saturation with 4,555 hits. Analysis detected 42,251 faulty-reasoning hits from 43,870 analyzed words across 11 articles, generating a BS Score of 1.8% and a BS Rank of 18% (30,792 of 37,536 keywords). This Kalshi is better (less manipulative) than 82.00% of the peer group.

Ranking context

Position among analyzed keywords

18% percentile
025507510018.0% percentile
1.8% BS Score11 analyzed articles43.9K 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 7.7%7.7%Appeal to EmotionSitewide 15.9%Keyword 4.3%4.3%Negativity BiasSitewide 19.2%Keyword 10.4%10.4%Appeal to AuthoritySitewide 11.1%Keyword 4.5%4.5%In-Group BiasSitewide 6.9%Keyword 0.6%0.6%Halo EffectSitewide 6.7%Keyword 0.8%0.8%Optimism BiasSitewide 6.0%Keyword 1.4%1.4%Availability HeuristicSitewide 9.1%Keyword 4.5%4.5%Confirmation BiasSitewide 7.5%Keyword 3.2%3.2%Anchoring BiasSitewide 4.0%Keyword 0.7%0.7%

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 7.7%, sitewide 26.9%Negativity Bias: Keyword 10.4%, sitewide 19.2%Appeal to Emotion: Keyword 4.3%, sitewide 15.9%Appeal to Authority: Keyword 4.5%, sitewide 11.1%Hasty Generalization: Keyword 10.1%, sitewide 8.1%Availability Heuristic: Keyword 4.5%, sitewide 9.1%Confirmation Bias: Keyword 3.2%, sitewide 7.5%Biased Writer Voice: Keyword 7.2%, sitewide 5.3%In-Group Bias: Keyword 0.6%, sitewide 6.9%Halo Effect: Keyword 0.8%, sitewide 6.7%Optimism Bias: Keyword 1.4%, sitewide 6.0%Anecdotal: Keyword 3.8%, sitewide 5.2%Overconfidence Bias: Keyword 1.4%, sitewide 4.6%Anchoring Bias: Keyword 0.7%, sitewide 4.0%Self-Serving Bias: Keyword 1.1%, sitewide 3.7%Post Hoc (False Cause): Keyword 2.7%, sitewide 3.3%Out-Group Homogeneity Bias: Keyword 0.3%, sitewide 3.1%Indoctrination: Keyword 3.0%, sitewide 0.0%Fundamental Attribution Error: Keyword 1.0%, sitewide 2.7%Pessimism Bias: Keyword 2.7%, sitewide 1.9%Recency Bias: Keyword 2.0%, sitewide 2.7%False Dilemma: Keyword 2.6%, sitewide 1.5%Slippery Slope: Keyword 2.5%, sitewide 1.7%Loss Aversion: Keyword 0.3%, sitewide 2.5%Framing EffectSitewide rateKeyword rate

Analyzed articles and videos

The Miami Heat, LeBron James, and prediction markets: How a ‘mistake’ social media post turbocharged a $245 million wager68%
Fortune54%By Catherina Gioino36% Joshua Hong86%7/23/2026, 7:50:02 PM
Coinbase trading results may fall short of expectations, according to prediction markets85%
CNBC54%By Davis Giangiulio97%7/20/2026, 12:41:50 PM
Public Citizen Once Again Calls Upon the CFTC to Enforce Insider Trading Laws on the Prediction Markets87%
Common Dreams96%By Newswire Editor94%7/16/2026, 8:48:30 PM
Teleprompter Operator Made $100K Betting on Trump’s Speeches41%
The New Republic72%By Hafiz Rashid68%7/16/2026, 4:53:26 PM
OpenAI Strikes Bold Deal With Kalshi to Mix Together the Most Hated Technologies in Existence: AI and Prediction Markets41%
Futurism88%By Frank Landymore67%7/15/2026, 7:33:08 PM
Mark Zuckerberg Sure Sounds Eager to Get Young People Hooked on Online Gambling53%
Mother Jones51%By Alex Nguyen35%6/27/2026, 3:22:47 PM
The Right’s “Election Fraud” Cry for Midterms Previewed in Primaries31%
The Intercept80%By The Intercept Briefing53%6/12/2026, 10:00:00 AM
U.S. Senate bans lawmakers from betting on prediction apps60%
One America News Network0%By Lillian Mann0%5/4/2026, 6:01:26 PM
We Need to Kick Prediction Market Betting Out of Journalism While We Still Can86%
The Intercept80%By Jonathan Reiss0%4/28/2026, 9:52:00 AM
Kalshi issues first-ever ‘insider trading’ bans to 3 candidates for betting on their own races21%
One America News Network0%By Lillian Mann0%4/22/2026, 6:30:09 PM