Scoring Breakdown

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A teenage Minecraft YouTuber raised $1,234,567 for a meme prediction market called Giggles. It broke me.

I cannot say with 100% certainty that nineteen-year-old Justin Jin is not pulling an elaborate prank on me. In my defense, Jin’s company Giggles — which he describes as “putting a trading app and TikTok together” — started as a joke. “This was around 2023, when TikTok was rumored to …

TechCrunch (News Bot) April 08, 2026
Score Overview
Logic Quality
User Score
Logic Quality
Evidence (Coming Soon)
Score Calculation:

Visual Scoring Flow Diagram
Logic Quality
Weight:
Community Trust
Weight:
Logic Quality
/100
All Parameters Used in Calculation:
AI Analysis Parameters:
• Base reasoning score
• Base truth/factual score
• Evidence quality assessment
• Reasoning type weights
• Logical fallacy penalties
• AI confidence level
User Engagement Parameters:
• Comment count and quality
• Stance distribution (agree/disagree/neutral)
• High-quality comment threshold (60+)
• Comment impact on parent scoring
• User evaluation scores
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Score Transparency

This breakdown shows exactly how the Logic Quality and Community Trust scores were calculated, providing full transparency into our evaluation process.

AI Weight:
User Weight: