Claims all the way down

It can be hard to know where to begin when you do not understand something. A way to try to understand things is to look at what the people who claim to understand something are talking about. Sadly this means you have to deal with massive discussions. A big example of this is the Covid origin debates. During these discussions the disagreement can be about many parts, and it can be hard to know who is even telling the truth and who is lying. This can make it almost impossible to map out what the world is really like and to see why. Almost, but not quite...If we want to map out these discussions we have to start with the core of what makes an honest argument. At the core there are primary sources. Primary sources can be a specific study, a witness claim or a verified authority to name a few. These primary sources can then be linked to claims. If we find all of the relevant primary sources and all of the claims that are supported by them we can calculate how valid each of these claims is using methods explained later in this article. Sometimes, however, a claim is so complicated that there are many different primary sources pointing in many different directions. In these cases it can be helpful to break the claim down into subclaims. Each of these subclaims can then in turn be supported by primary sources or subclaims. As long as the logic connecting every claim with subclaims and sources is valid, it will allow you to find the best possible conclusion based on the available evidence.Finding the strength of any piece of evidence on any claim used to be painstakingly slow and difficult to calibrate. This is where language models come in. They can do the arduous work of scraping for every source and identifying how relevant it is and how strongly it weighs on each specific claim. This can quickly fill out an entire graph of claims. This graph of claims can then be made into a publicly available tool.These calls will still be subjective which is why it is essential for t