diff --git a/README.md b/README.md
index 59ec97d..a4386bc 100644
--- a/README.md
+++ b/README.md
@@ -160,8 +160,8 @@ You can add an index to use approximate nearest neighbor search, which trades so
 Three keys to achieving good recall are:
 
 1. Create the index *after* the table has some data
-2. Choose an appropriate number of lists (a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows)
-3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed)
+2. Choose an appropriate number of lists - a good place to start is `rows / 1000` for up to 1M rows and `sqrt(rows)` for over 1M rows
+3. When querying, specify an appropriate number of [probes](#query-options) (higher is better for recall, lower is better for speed) - a good place to start is `lists / 10` for up to 1M rows and `sqrt(lists)` for over 1M rows
 
 Add an index for each distance function you want to use.