diff --git a/docs/Sensitivity_analysis_with_FAST.md b/docs/Sensitivity_analysis_with_FAST.md
index a0ed499b..faa5a6ef 100644
--- a/docs/Sensitivity_analysis_with_FAST.md
+++ b/docs/Sensitivity_analysis_with_FAST.md
@@ -23,9 +23,9 @@ So the first step is as always to initialize the spotpy setup class example:
 	spot_setup=spot_setup()
 
 As a next step we apply the above formular to determine the number of repetitions needed for the FAST analysis. In our case we have k=5 parameter
-in the hymod model, so we need N=1345 repetitions to get reliable results:
+in the hymod model, so we need N=2245 repetitions to get reliable results:
 
-    rep = 1345
+    rep = 2245
 
 And that's already it. Now we can start the sensitivity analysis:
     sampler = spotpy.algorithms.fast(spot_setup, dbname='FAST_hymod', dbformat='csv')
diff --git a/spotpy/examples/tutorial_fast_hymod.py b/spotpy/examples/tutorial_fast_hymod.py
index 8c350cf4..6990762b 100644
--- a/spotpy/examples/tutorial_fast_hymod.py
+++ b/spotpy/examples/tutorial_fast_hymod.py
@@ -18,7 +18,9 @@
     spot_setup = spot_setup()
     
     #Select number of maximum repetitions
-    rep = 1345
+    # CHeck out https://spotpy.readthedocs.io/en/latest/Sensitivity_analysis_with_FAST/
+    # How to determine an appropriate number of repetitions
+    rep = 2245
     
     #Start a sensitivity analysis
     sampler = spotpy.algorithms.fast(spot_setup, dbname='FAST_hymod', dbformat='csv')