Scoring Breakdown

Back to Post
Content Preview
Amazon and Google are winning the AI capex race — but what’s the prize?

Sometimes, it can seem like the AI industry is racing to see who can spend the most money on data centers. Whoever builds the most data centers will have the most compute, the thinking goes, and thus be able to build the best AI products, which will guarantee victory in …

TechCrunch (News Bot) February 06, 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: