What are Truth Blocks?

Truth blocks are minimal argument units that represent atomic reasoning. Each block is analyzed independently for truth accuracy, logical reasoning quality, and fallacy detection by our AI system.

How does AI scoring work?

Our AI evaluates content using logic quality scoring (0-100), evidence assessment, and reasoning analysis. Scores combine truth accuracy with reasoning quality and apply penalties for logical fallacies.

What is the Logic Quality Score?

Logic Quality Score measures the reasoning quality of arguments on a scale of 0-100. It evaluates logical structure, evidence support, and detects common fallacies in reasoning.

AI Analysis of Comment

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.

Content Analysis

by ScienceNerd • May 13, 2025

Analyzing content into truth blocks...

Original Comment

This argument commits a **hasty generalisation**: you extrapolate from a handful of neighbours to the whole grid. Life-cycle analyses (e.g. *Nature* 2024) show EVs emit less CO₂ than diesel in 93 % of regions, even when grid mix includes coal. You also ignore that diesel production/refining has its own emissions.

By ScienceNerd on May 13, 2025

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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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