I dont know about you, but when I learned what logical fallacys were, I have never been able to look at a watchtower magazine the same.

With all the new AI tech, I became curious if it was possible to feed AI text (like from the watchtower) and see if it can identify the logical fallacies in the script.

This led me to a website: Fallacy Detector | LF (logicalfallacies.org)

So I took a paragraph from the latest study edition Watchtower. Watchtower will usually talk about an old bible story and then contort some lesson from it (basically watchtower's take on things).... Usually this is where the fallacies fall from the sky.

I decided paragraph's 8/9 would be a good place to start

HOW ARE FAITH AND WORKS RELATED?

8-9. What have some individuals wrongly concluded from the writings of Paul and of James, and why?

8 For centuries, the relationship between faith and works has been hotly debated in Christendom. Some clergymen teach that all you have to do to be saved is believe in the Lord Jesus Christ. You may have heard them say, “Accept Jesus and be saved.” Clergymen may even quote Paul’s words: “God counts righteousness apart from works.” (Rom. 4:6) However, others contend that you can “save yourself” by going on religious pilgrimages and by performing other duties as outlined by the church. They perhaps quote James 2:24: “A man is to be declared righteous by works and not by faith alone.”

9 As a result of such positions, some religious writers have concluded that Paul and James disagreed on the subject of faith and works. Clergymen may claim that while Paul believed that a man is declared righteous by faith apart from works, James taught that works are essential in order to have God’s approval. A professor of divinity put it this way: “James did not understand Paul’s motive for insisting that [being declared righteous] is by faith alone and not by works.” But Jehovah inspired both Paul and James to write what they did. (2 Tim. 3:16) So there must be a simple way to harmonize their statements. There is​—by considering their writings in context.

After copying this text, I pasted it into the Logical Fallacy Detector. Here is the result:

Fallacy Detector

Logical Fallacies: 1. False Dichotomy: The author presents a false dichotomy by suggesting that the only two options are to believe in Jesus and be saved, or to save oneself through religious practices. This oversimplifies the debate and ignores other possible perspectives. 2. Straw Man: The author misrepresents the opposing viewpoint by suggesting that those who believe in the importance of works teach that one can "save themselves" through religious practices. This misrepresentation weakens the argument against the opposing viewpoint. 3. Appeal to Authority: The author appeals to the authority of Jehovah as the inspirer of both Paul and James, implying that their teachings must be in agreement. This does not address the actual arguments made by Paul and James, but instead relies on the authority of a higher power to resolve the debate.

I think this tool has potential and possibilities. Give it a try. Leave your experience in the comments.

I've developed a tool that serves as a real-time overlay for detecting logical fallacies in political debates. It uses PyQt5 for the UI and Mistral LLM through the API of the text-generation-webui for both audio transcription and logical analysis. The overlay is transparent, making it easy to keep it on top of other windows like a live stream or video. I was able to run both Whisper with the Mistral-7B-OpenOrca-GPTQ locally on a single RTX 3090. VRAM usage 15GB.

Key Features:

• Real-time audio transcription captures what's being said in debates.

• Instant fallacy detection using a Language Language Model (LLM).

• The overlay is transparent, draggable, and stays on top for multitasking.

• Option to toggle between local LLM and ChatGPT for logical analysis.

This tool aims to make it easier to spot logical inconsistencies in real-time during political debates, thereby fostering a more informed electorate.

Check it out on (GitHub)[https://github.com/latent-variable/Real_time_fallacy_detection] and I'd love to hear your thoughts!

Feel free to adapt this template to better suit your project's specifics.

Edit: typo