Truth Blocks Analysis

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New Scoring System: This post's overall score is calculated from the individual truth blocks below. To provide feedback or discuss specific arguments, comment on individual truth blocks rather than the post as a whole.
Strong Relationships
by ziko • August 04, 2025
Original Post
Strong Relationships
Strong relationships don’t happen by chance — they are built with intention and the right Leverage.
Highlighted sentences link to their corresponding truth blocks. Click any highlighted sentence to jump to its detailed analysis.
Highlight Colors Indicate Content Type & Quality:
Strong Reasoning - Clear logic & evidence
Moderate - Some structure, could improve
Weak Reasoning - Fallacies or poor logic
ℹ️ Not Evaluable - Questions, personal statements (not poor quality)
Note: Gray highlights with dashed borders (ℹ️) indicate content like questions or personal experiences that aren't meant to present logical arguments. Low scores on these don't mean poor quality!
By ziko on August 04, 2025

Analysis Summary

1
Truth Blocks
75.0
Avg Logic Quality
Avg User Score
0.0
Avg Evidence Score
Avg Total Score
0.75
Legacy Truth Score
0.80
Legacy Confidence
0.84
Legacy Weighted

Individual Truth Blocks

Block 1
AI Analysis Logic Quality: 75.0 Evidence: Coming Soon
Community User: No comments yet
Truth: 0.75 Confidence: 0.80
Strong relationships don’t happen by chance — they are built with intention and the right Leverage.
Source Mapping: Exact_Quote
This is an exact quote from the original text.
Source sentence(s):
"Strong relationships don’t happen by chance — they are built with intention and the right Leverage." Click to highlight above
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AI Analysis:
Reasoning: 0.75
Truth: 0.75
Confidence: 0.80
Logic Quality: Strong
AI Justification:

AI evaluation using unified criteria

Canonical Block | Criteria v2.0 | Updated: Aug 15, 2025
About Truth Blocks

Truth blocks are minimal argument units that represent atomic reasoning. Each block is analyzed independently for:

  • Truth Score: Factual accuracy (0-1)
  • Reasoning Types: Deductive, inductive, etc.
  • Logical Fallacies: Detected reasoning errors
  • Confidence: AI certainty in analysis

The weighted score combines truth score with reasoning quality and fallacy penalties according to our scoring criteria.

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