Comment by keyserj

I think the structure inherently enables each node to be a claim (like "this thing exists"), but that there's value in making a node even if that node's claim is not particularly disagreeable, because the edges to that node might be disagreeable, or to provide more detail about how one node relates to another (e.g. through some intermediate node). In this case, maybe the main value in modeling "Efficiency" is to convey how innovation might lead to profit.

To me, it feels less fuzzy when you assume that all nodes and edges imply their own claims, and that it's just a matter of whether or not those claims are worth arguing. The fuzziness imo is based on the fact that the curator picks which nodes and edges exist, which therefore determines which claims exist and can be agreed or disagreed with, not to mention the overall legibility of the graph itself. But I would argue that a causal graph like this is better at representing reality than something like an argument tree, and that, while it might be fuzzy to determine which nodes should exist, at least there's less opinion involved about where nodes should be placed in relation to each other. Which imo makes the structure easier to refine given time and feedback.