diff --git a/performance.txt b/performance.txt
index 7726429..277cf6d 100644
--- a/performance.txt
+++ b/performance.txt
@@ -1,3 +1,16 @@
+# ~Goal
+def time_test(s, l):
+    first = time.time()
+    for i in range(100000):
+        s = l[i % 2]
+    last = time.time()
+    print((last-first)/100000)
+    
+time_test(1, [2, 1])
+1.401543617248535e-07
+
+heist auf einem processor ohne synchronized müsste ich ca 10 mal schneller sein? oder 3.3 mal weil 3 prozesse weniger?
+
 # With 100x100 10 times
 
 Try One
diff --git a/scripts/main_ui.py b/scripts/main_ui.py
index 8b7f345..baad7a5 100644
--- a/scripts/main_ui.py
+++ b/scripts/main_ui.py
@@ -1,10 +1,8 @@
 #!/usr/bin/env python3
 
-from cellular_automaton.ca_cell_state import CellState
-from cellular_automaton.ca_rule import Rule
-
-from cellular_automaton.cellular_automaton import CellularAutomaton, CellularAutomatonProcessor
-from cellular_automaton.ca_factory import CAFactory
+import random
+from multiprocessing import freeze_support
+from cellular_automaton import *
 
 
 class TestRule(Rule):
@@ -40,18 +38,13 @@ def make_cellular_automaton(dimension, neighborhood, rule, state_class):
 
 
 if __name__ == "__main__":
-    import random
-    from multiprocessing import freeze_support
-    from cellular_automaton.ca_neighborhood import MooreNeighborhood, EdgeRule
-    from cellular_automaton.ca_display import PyGameFor2D
-
     freeze_support()
 
     random.seed(1000)
     # best single is 400/400 with 0,2 ca speed and 0,09 redraw / multi is 300/300 with 0.083
     neighborhood = MooreNeighborhood(EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS)
     ca = make_cellular_automaton(dimension=[100, 100], neighborhood=neighborhood, rule=TestRule(), state_class=MyState)
-    ca_window = PyGameFor2D(window_size=[1000, 800], cellular_automaton=ca)
     ca_processor = CellularAutomatonProcessor(process_count=4, cellular_automaton=ca)
-    ca_window.main_loop(cellular_automaton_processor=ca_processor,
-                        ca_iterations_per_draw=5)
+
+    ca_window = PyGameFor2D(window_size=[1000, 800], cellular_automaton=ca)
+    ca_window.main_loop(cellular_automaton_processor=ca_processor, ca_iterations_per_draw=10)
diff --git a/scripts/performance_test b/scripts/performance_test
index 6b88c59..7ab56b9 100644
Binary files a/scripts/performance_test and b/scripts/performance_test differ
diff --git a/src/cellular_automaton/ca_cell_state.py b/src/cellular_automaton/ca_cell_state.py
index cc48640..4aa0020 100644
--- a/src/cellular_automaton/ca_cell_state.py
+++ b/src/cellular_automaton/ca_cell_state.py
@@ -42,7 +42,7 @@ class CellState:
     def set_state_of_iteration(self, new_state, iteration):
         """ Will set the new state for the iteration modulo number of saved states.
         :param new_state:  The new state to set.
-        :param iteration:   Uses the iteration index, to differ between concurrent states.
+        :param iteration:  Uses the iteration index, to differ between concurrent states.
         :return True if state has changed.
         """
 
diff --git a/src/cellular_automaton/ca_display.py b/src/cellular_automaton/ca_display.py
index f642002..9fee63e 100644
--- a/src/cellular_automaton/ca_display.py
+++ b/src/cellular_automaton/ca_display.py
@@ -38,7 +38,6 @@ class PyGameFor2D:
     def __init__(self, window_size: list, cellular_automaton: CellularAutomaton):
         self._window_size = window_size
         self._cellular_automaton = cellular_automaton
-        self._cellular_automaton_proocessor = None
         pygame.init()
         pygame.display.set_caption("Cellular Automaton")
         self._screen = pygame.display.set_mode(self._window_size)
@@ -68,7 +67,7 @@ class PyGameFor2D:
                 self._evolve_with_performance(cellular_automaton_processor)
                 first = False
             else:
-                cellular_automaton_processor.evolve()
+                cellular_automaton_processor.evolve_x_times(ca_iterations_per_draw)
             time_ca_end = time.time()
             self.ca_display.redraw_cellular_automaton()
             time_ds_end = time.time()