diff --git a/src/run_modules/experiment_setup.py b/src/run_modules/experiment_setup.py
index 39d973b2a59533126a8d758a43978cd6e00e19f9..295d4342c4527aa54f6e302bbf77c92bcf760c56 100644
--- a/src/run_modules/experiment_setup.py
+++ b/src/run_modules/experiment_setup.py
@@ -34,7 +34,7 @@ class ExperimentSetup(RunEnvironment):
                  limit_nan_fill=None, train_start=None, train_end=None, val_start=None, val_end=None, test_start=None,
                  test_end=None, use_all_stations_on_all_data_sets=True, trainable=None, fraction_of_train=None,
                  experiment_path=None, plot_path=None, forecast_path=None, overwrite_local_data=None, sampling="daily",
-                 create_new_model=None, bootstrap_path=None, permute_data_on_training=None, transformation=None,
+                 create_new_model=None, bootstrap_path=None, permute_data_on_training=False, transformation=None,
                  train_min_length=None, val_min_length=None, test_min_length=None, extreme_values=None,
                  extremes_on_right_tail_only=None):
 
@@ -55,7 +55,7 @@ class ExperimentSetup(RunEnvironment):
         self._set_param("extremes_on_right_tail_only", extremes_on_right_tail_only, default=False, scope="general.train")
         self._set_param("upsampling", extreme_values is not None, scope="general.train")
         upsampling = self.data_store.get("upsampling", "general.train")
-        self._set_param("permute_data", max([permute_data_on_training, upsampling]), default=False, scope="general.train")
+        self._set_param("permute_data", max([permute_data_on_training, upsampling]), scope="general.train")
 
         # set experiment name
         exp_date = self._get_parser_args(parser_args).get("experiment_date")