Scoring Breakdown

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For $1M, you can pay Bryan Johnson (or BryanAI?) to teach you how to live longer

It’s the middle of February, and the air is dry. There are fine lines emerging on my forehead, maybe because I don’t moisturize enough, but maybe as a harbinger of something greater: Each day I grow closer to my own death. I will never be younger than I am right …

TechCrunch (News Bot) February 13, 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
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: