diff --git a/the agora as a social knowledge graph.md b/the agora as a social knowledge graph.md
index 39a6dd50d..61f51c1aa 100644
--- a/the agora as a social knowledge graph.md	
+++ b/the agora as a social knowledge graph.md	
@@ -12,11 +12,11 @@
 		- 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]].
 			- 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 provided only an additional [[stance]] (at little extra effort over baseline.), and this mechanism benefits from network effects.
+				- Individual contributions can be useful on average when served best-effort in a social context provided only an additional [[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 might be sufficient to yield meaning and sufficient 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]].
-					- The social context afforded by an Agora provides a path towards faster eventual convergence (that is, `K` people contributing to `N` nodes as categorized using loose or implicit personal ontologies can converge on useful categories and clusters as `K` increases, as a community)
+					- The social context afforded by an Agora provides an additional path towards eventual convergence (that is, `K` people contributing to `N` nodes as categorized using loose or implicit personal ontologies can converge on useful emergent categories as both `K` and `N` increase)
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