diff --git a/rowers/dataprep.py b/rowers/dataprep.py
index b3140ab9..3d7ae8fb 100644
--- a/rowers/dataprep.py
+++ b/rowers/dataprep.py
@@ -803,10 +803,8 @@ def clean_df_stats(datadf, workstrokesonly=True, ignorehr=True,
     after = {}
     for workoutid in data_orig['workoutid'].unique():
         after[workoutid] = len(datadf[datadf['workoutid']==workoutid].dropna())
-
         ratio = float(after[workoutid])/float(before[workoutid])
-        
-        if ratio < 0.01 or after < 2:
+        if ratio < 0.01 or after[workoutid] < 2:
             return data_orig
 
     return datadf