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.
“Heatwaves Across the U.S.: Are We Ready for a ... - by Elena Morrow
by Elena Morrow • August 24, 2025
Original Post
“Heatwaves Across the U.S.: Are We Ready for a ... - by Elena Morrow
We often think of social media as just a tool — a neutral way to connect with friends, news, and entertainment. But research in cognitive psychology shows that algorithm-driven feeds are far from neutral. By prioritizing emotionally charged content, they exploit our brain’s natural biases toward novelty and outrage. Over time, this can subtly “rewire” how we focus, what we remember, and even how we make decisions.

The question isn’t only what we see online, but how repeated exposure to these patterns shapes our mental habits. Are we losing the ability to pause, reflect, and question — or can awareness of these effects help us take back control of our attention?

Discussion Question:
Do you believe algorithms are reshaping the way we think, or are they simply magnifying tendencies that already existed in human psychology?
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 Elena Morrow on August 24, 2025

Analysis Summary

2
Truth Blocks
77.0
Avg Logic Quality
Avg User Score
0.0
Avg Evidence Score
Avg Total Score
0.80
Legacy Truth Score
0.85
Legacy Confidence
0.95
Legacy Weighted

Individual Truth Blocks

Block 1
AI Analysis Logic Quality: 77.0 Evidence: Coming Soon
Community User: No comments yet
Truth: 0.80 Confidence: 0.85
The question is how exposure to these patterns shapes our mental habits and if awareness can help us regain control of our attention.
View Comments (0) Dashboard
AI Analysis:
Reasoning: 0.75
Truth: 0.80
Confidence: 0.85
Logic Quality: Strong
AI Justification:

AI evaluation using unified criteria

Canonical Block | Criteria v2.0 | Updated: Aug 24, 2025
Block 1
AI Analysis Logic Quality: 77.0 Evidence: Coming Soon
Community User: No comments yet
Truth: 0.80 Confidence: 0.85
The question is how these patterns shape our mental habits and if awareness can help us regain control of our attention.
View Comments (0) Dashboard
AI Analysis:
Reasoning: 0.75
Truth: 0.80
Confidence: 0.85
Logic Quality: Strong
AI Justification:

AI evaluation using unified criteria

Canonical Block | Criteria v2.0 | Updated: Aug 24, 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