An open source Android app that displays a list of the logical fallacies that haunt every rationalists world
-
Updated
Sep 19, 2024 - Dart
An open source Android app that displays a list of the logical fallacies that haunt every rationalists world
Book of Bad Arguments & Mr. Rabbit's Guide to Sneaky Rhetoric
Claude Code skill that transcribes audio/video with whisper.cpp to get structured critical analysis including timestamped summaries, evidence notes, logical fallacies, and underdeveloped areas
A gym for your critical thinking — the AI is the coach, you do the work. Four modes: drill, scene, expedition, detective.
↩️🧠️💾️ The official source repository for ReverseFallacy, a software tool for looking up logical fallacies, given input of a fallacy.
Correctly computed entropy, mutual information, surprisal, KL divergence, all-in-one module.
発言が詭弁かどうかを4行で即答する Claude Code スキル。詭弁の特徴のガイドライン19条+論理学の誤謬で判定し、本来の論点と論点に戻す一言まで返す
A reality-first Agent Skill for Objectivist analysis of claims, arguments, policies, decisions, drafts, current events, and art.
↩️🧠️📖️ The official documentation source repository for ReverseFallacy, a software tool for looking up logical fallacies, given input of a fallacy.
Jupyter notebooks and Python scripts used in Logical Fallacy Detection and Ad Hominem Fallacy Usage in the Wild
A local-NLP fallacy detector for pasted text. The model flags candidates and a human reviewer makes the final call.
Transcribe videos and audio from local files or URLs, grab subtitles first, and generate clean notes with Gemini or local Whisper.
拆解话语中的逻辑谬误并逐条举证的通用 Agent Skill(62 类谬误 · 九套方法论 · 零依赖)| A universal Agent Skill that dissects logical fallacies with evidence
Bingo card generators implemented in javascript.
This repository contains a simple NLP pipeline that uses zero‑shot classification to detect common logical fallacies in text. It applies a pre‑trained BART model to evaluate whether an input aligns with several predefined fallacy categories.
邏生門 EcoLogic|從各說各話,走向共同思考。透過日常生活與野生生物保育的情境題及圖鑑,練習辨識推理、衡量證據,清楚表達觀點。歡迎逐步參與,共同完善內容。
AI-powered logical fallacy, bias, and persuasion analyzer for arguments, essays, and debates, built with Python and Streamlit and powered by Groq-hosted LLMs. Features fallacy span highlighting, scoring (clarity, persuasiveness, reliability), batch CSV analysis, and multi-model comparison.
AI-powered analysis of rhetorical quality, logical integrity, and manipulation tactics in text.
To associate your repository with the logical-fallacies topic, visit your repo's landing page and select "manage topics."