diff --git a/the agora as a social knowledge graph.md b/the agora as a social knowledge graph.md
index 4d12acd03..79ea8eddd 100644
--- a/the agora as a social knowledge graph.md	
+++ b/the agora as a social knowledge graph.md	
@@ -9,12 +9,12 @@
 			- Agora [[nodes]] are defined by the set of known resources *about* the entity described by their title or other metadata.
 				- A [[node]] is a community-maintained [[collection]] of voice-preserving individual [[subnodes]] defined by the resources contributed by a certain user or group.
 			- Because links between two nodes in an Agora can be [[annotated]] (i.e. #tagged or qualified by other nearby links) and have multiplicity, the Agora is in fact a [[hypergraph]].
-			- Individual agoras are expected to federate and organize into greater Agora networks, which are in themselves graph-like
+			- Individual agoras are expected to federate and organize into greater Agora networks, which are in themselves graph-like at a higher level.
 		- On a system level, there exists a [[reference Agora]] that provides a minimum viable implementation for the [[underlay]], [[interlay]], [[overlay]] components of the [[distributed knowledge graph]].
 			- In the reference Agora, links can be said to [[fan out]] by default in the sense that they are evaluated in social context in individual contributions (resulting in following a link sometimes surfacing more than what the individual author envisioned.)
 			- We are using said reference Agora to refine the proposed system and run experiments.
 			- Some hypotheses that we are testing:
-				- Individual contributions can be useful on average when served best-effort in a social context at the cost of adopting a default social stance (at little extra effort over baseline), and this mechanism benefits from network effects.
+				- Individual contributions can be made maximally useful to others on average when served best-effort in a social context at the cost of adopting a default social stance (at little extra effort over baseline), and this mechanism benefits from network effects.
 				- A [[knowledge commons]] model can provide utility to participating communities efficiently, as the cost of systemic integrations with a hub design such as the Agora can scale with `O(N)` instead of the `O(N^2)` provided by a naive full mesh.
 				- Social [[composition]] and [[integration]] of notes might be sufficient to yield higher level meaning and order, or at least significantly complement both taxonomic approaches (hierarchical) and individual-scoped eventual convergence (non hierarchical).
 					- A composition of personal [[hierarchies]] yields a social [[heterarchy]].