Topic summary
48%10 analyzed articles/videos5,097 analyzed words
BS Summary: These Prediction Markets results contain 51 faulty reasoning types, including Framing Effect, Hasty Generalization, and Availability Heuristic, with Negativity Bias as the most egregious example at 11.8% saturation with 2,269 hits. Analysis detected 19,245 faulty-reasoning hits from 19,173 analyzed words across 10 articles, generating a BS Score of 2% and a BS Rank of 23% (12,885 of 16,559 topics). This Prediction Markets is better (less manipulative) than 77.80% of the peer group.

Ranking context

Position among analyzed topics

22% percentile
025507510022.2% percentile
2.0% BS Score10 analyzed articles19.2K 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 9.4%9.4%Appeal to EmotionSitewide 15.9%Topic 5.6%5.6%Negativity BiasSitewide 19.2%Topic 11.8%11.8%In-Group BiasSitewide 6.9%Topic 0.7%0.7%Appeal to AuthoritySitewide 11.1%Topic 5.3%5.3%Halo EffectSitewide 6.7%Topic 1.6%1.6%Confirmation BiasSitewide 7.5%Topic 2.7%2.7%Optimism BiasSitewide 6.0%Topic 1.5%1.5%Out-Group Homogeneity BiasSitewide 3.1%Topic 0.3%0.3%Availability HeuristicSitewide 9.1%Topic 6.3%6.3%

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: Topic 9.4%, sitewide 26.9%Negativity Bias: Topic 11.8%, sitewide 19.2%Appeal to Emotion: Topic 5.6%, sitewide 15.9%Appeal to Authority: Topic 5.3%, sitewide 11.1%Availability Heuristic: Topic 6.3%, sitewide 9.1%Hasty Generalization: Topic 7.5%, sitewide 8.1%Confirmation Bias: Topic 2.7%, sitewide 7.5%In-Group Bias: Topic 0.7%, sitewide 6.9%Halo Effect: Topic 1.6%, sitewide 6.7%Biased Writer Voice: Topic 6.1%, sitewide 5.3%Optimism Bias: Topic 1.5%, sitewide 6.0%Anecdotal: Topic 2.8%, sitewide 5.2%Overconfidence Bias: Topic 2.0%, sitewide 4.6%Anchoring Bias: Topic 1.3%, sitewide 4.0%Recency Bias: Topic 3.8%, sitewide 2.7%Self-Serving Bias: Topic 1.8%, sitewide 3.7%Post Hoc (False Cause): Topic 3.3%, sitewide 3.3%Out-Group Homogeneity Bias: Topic 0.3%, sitewide 3.1%Fundamental Attribution Error: Topic 1.1%, sitewide 2.7%Loss Aversion: Topic 0.3%, sitewide 2.5%Unattributed Quote: Topic 2.3%, sitewide 1.1%Bandwagon: Topic 1.3%, sitewide 2.2%Status Quo Bias: Topic 0.8%, sitewide 2.2%Ad Hominem: Topic 1.5%, sitewide 2.2%Framing EffectSitewide rateTopic 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
France doubles down on restricting access to Polymarket58%
Engadget42%By Jackson Chen43%7/18/2026, 7:41:51 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
Polymarket is in a high-stakes race to win back trust as it recommits to US market41%
ABC News22%By KEN SWEET AP business writer0%7/8/2026, 10:16:57 AM
‘Scum’: Trump attacks US states’ efforts to regulate prediction markets56%
The Guardian81%By Roque Planas0%5/27/2026, 1:25:27 AM
Texas GOP primary suddenly looks like a wipeout ahead of Tuesday runoff55%
MS NOW95%By Nora McKee0%5/24/2026, 9:15:21 PM
Soldier's Arrest Puts Scrutiny on Prediction Markets87%
Newsmax75%By Charlie McCarthy0%4/24/2026, 6:28:46 PM
An expert explains how prediction markets like Kalshi blur the line with gambling41%
KUER0%By Sean Higgins0%4/13/2026, 8:04:00 AM