Truth Blocks Analysis

Back to Post
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.
Fran Lebowitz Traps
by TodayThinkTrap • December 05, 2025
Original Post
Fran Lebowitz Traps
🗣️ Fran Lebowitz once said…

“Leaf blowers must be the stupidest invention ever created.”

“Airports were obviously invented by people who hate everyone.”

“If I see adults with those trendy dolls on their bags, I immediately know they look ridiculous.”

“I would never try mountain climbing — I don’t understand why anyone does those things.”

“Contemporary novels aren’t good anymore; people only praise them because the writers are young.”

“We import fruit in February, which just proves everything is terrible now.”

🤔 Your turn: Where’s the fallacy? Which thinking traps can you spot?
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 TodayThinkTrap on December 05, 2025

Analysis Summary

2
Truth Blocks
7.5
Avg Logic Quality
Avg User Score
0.0
Avg Evidence Score
Avg Total Score
0.25
Legacy Truth Score
0.85
Legacy Confidence
0.05
Legacy Weighted

Individual Truth Blocks

Block 1
AI Analysis Logic Quality: 0.0 Evidence: Coming Soon
Community User: No comments yet
Truth: 0.40 Confidence: 0.85
🏃 Hasty_Generalization fallacy ⚠️ Appeal_To_Obviousness fallacy
🗣️ Fran Lebowitz once said… “Leaf blowers must be the stupidest invention ever created.” “Airports were obviously invented by people who hate everyone.” “If I see adults with those trendy dolls on their bags, I immediately know they look ridiculous.” “I would never try mountain climbing — I don’t understand why anyone does those things.” “Contemporary novels aren’t good anymore; people only praise them because the writers are young.” “We import fruit in February, which just proves everything is terrible now.” 🤔 Your turn: Where’s the fallacy?
Source Mapping: Exact_Quote
This is an exact quote from the original text.
Source sentence(s):
"🗣️ Fran Lebowitz once said… “Leaf blowers must be the stupidest invention ever created.” “Airports were obviously invented by people who hate everyone.” “If I see adults with those trendy dolls on their bags, I immediately know they look ridiculous.” “I would never try mountain climbing — I don’t understand why anyone does those things.” “Contemporary novels aren’t good anymore; people only praise them because the writers are young.” “We import fruit in February, which just proves everything is terrible now.” 🤔 Your turn: Where’s the fallacy?" Click to highlight above
View Comments (0) Dashboard
AI Analysis:
Reasoning: 0.30
Truth: 0.40
Confidence: 0.85
Logic Quality: Weak
Detected Fallacies:
Hasty_Generalization Appeal_To_Obviousness
AI Justification:

AI evaluation using unified criteria

Canonical Block | Criteria v2.0 | Updated: Dec 05, 2025
Block 2
AI Analysis Logic Quality: 15.0 Evidence: Coming Soon
Community User: No comments yet
Truth: 0.10 Confidence: 0.85
Which thinking traps can you spot?
Source Mapping: Exact_Quote
This is an exact quote from the original text.
Source sentence(s):
"Which thinking traps can you spot?" Click to highlight above
View Comments (0) Dashboard
AI Analysis:
Reasoning: 0.20
Truth: 0.10
Confidence: 0.85
Logic Quality: Weak
AI Justification:

AI evaluation using unified criteria

Canonical Block | Criteria v2.0 | Updated: Dec 05, 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.

Quick Actions
View Original JSON API All Analyses