diff --git a/docs/reference/aggregations/bucket/geodistance-aggregation.asciidoc b/docs/reference/aggregations/bucket/geodistance-aggregation.asciidoc
index 4890f9dca9d..ad35a4aab18 100644
--- a/docs/reference/aggregations/bucket/geodistance-aggregation.asciidoc
+++ b/docs/reference/aggregations/bucket/geodistance-aggregation.asciidoc
@@ -83,7 +83,7 @@ By default, the distance unit is `m` (metres) but it can also accept: `mi` (mile
 
 <1> The distances will be computed as miles
 
-There are three distance calculation modes: `sloppy_arc` (the default), `arc` (most accurate) and `plane` (fastest). The `arc` calculation is the most accurate one but also the more expensive one in terms of performance. The `sloppy_arc` is faster but less accurate. The `plane` is the fastest but least accurate distance function. Consider using `plane` when your search context is "narrow" and spans smaller geographical areas (like cities or even countries). `plane` may return higher error mergins for searches across very large areas (e.g. cross continent search). The distance calculation type can be set using the `distance_type` parameter:
+There are three distance calculation modes: `sloppy_arc` (the default), `arc` (most accurate) and `plane` (fastest). The `arc` calculation is the most accurate one but also the more expensive one in terms of performance. The `sloppy_arc` is faster but less accurate. The `plane` is the fastest but least accurate distance function. Consider using `plane` when your search context is "narrow" and spans smaller geographical areas (like cities or even countries). `plane` may return higher error margins for searches across very large areas (e.g. cross continent search). The distance calculation type can be set using the `distance_type` parameter:
 
 [source,js]
 --------------------------------------------------