diff --git a/Embedding.md b/Embedding.md
index ad54038..d090ec9 100644
--- a/Embedding.md
+++ b/Embedding.md
@@ -59,16 +59,17 @@ Embedding vectors are calulated feature vector values uniquely identifying a giv
 
 They can be stored as normal arrays and reused as needed
 
-Simmilarity function is based on *Eucilidean distance* between all points in vector  
-*Eucliean distance is limited case of Minkowski distance with order of 2*  
+Simmilarity function is based on general *Minkowski distance* between all points in vector  
 *[Minkowski distance](https://en.wikipedia.org/wiki/Minkowski_distance) is a nth root of sum of nth powers of distances between each point (each value in 192-member array)*  
 
+*Default is Eucliean distance which is a limited case of Minkowski distance with order of 2*  
+
 Changing `order` can make simmilarity matching more or less sensitive (default order is 2nd order)  
 For example, those will produce slighly different results:
 
 ```js
   const simmilarity2ndOrder = human.simmilarity(firstEmbedding, secondEmbedding, 2);
-  const simmilarity3rdOrder = human.simmilarity(firstEmbedding, secondEmbedding, 2);
+  const simmilarity3rdOrder = human.simmilarity(firstEmbedding, secondEmbedding, 3);
 ```
 
 How simmilarity is calculated: