diff --git a/corrlib/find.py b/corrlib/find.py
index e4ee735..3e62344 100644
--- a/corrlib/find.py
+++ b/corrlib/find.py
@@ -65,32 +65,32 @@ def _project_lookup_by_id(db: Path, uuid: str) -> list[tuple[str, str]]:
 
 def _time_filter(results: pd.DataFrame,  created_before: Optional[str]=None, created_after: Optional[Any]=None, updated_before: Optional[Any]=None, updated_after: Optional[Any]=None) -> pd.DataFrame:
     drops = []
-    for ind in len(results):
+    for ind in range(len(results)):
         result = results.iloc[ind]
         created_at = dt.datetime.fromisoformat(result['created_at'])
         updated_at = dt.datetime.fromisoformat(result['updated_at'])
 
         if created_before is not None:
-            created_before = dt.datetime.fromisoformat(created_before)
-            if created_before < created_at:
+            date_created_before = dt.datetime.fromisoformat(created_before)
+            if date_created_before < created_at:
                 drops.append(ind)
                 continue
         if created_after is not None:
-            created_after = dt.datetime.fromisoformat(created_after)
-            if created_before > created_at:
+            date_created_after = dt.datetime.fromisoformat(created_after)
+            if date_created_after > created_at:
                 drops.append(ind)
                 continue
         if updated_before is not None:
-            updated_before = dt.datetime.fromisoformat(updated_before)
-            if updated_before < updated_at:
+            date_updated_before = dt.datetime.fromisoformat(updated_before)
+            if date_updated_before < updated_at:
                 drops.append(ind)
                 continue
         if updated_after is not None:
-            updated_after = dt.datetime.fromisoformat(updated_after)
-            if updated_after > updated_at:
+            date_updated_after = dt.datetime.fromisoformat(updated_after)
+            if date_updated_after > updated_at:
                 drops.append(ind)
                 continue
-        return results.drop(drops)
+    return results.drop(drops)
 
 
 def _db_lookup(db: Path, ensemble: str, correlator_name: str, code: str, project: Optional[str]=None,  parameters: Optional[str]=None) -> pd.DataFrame: