diff --git a/pyerrors/fits.py b/pyerrors/fits.py
index 1d5ba31d..7f1d26db 100644
--- a/pyerrors/fits.py
+++ b/pyerrors/fits.py
@@ -14,7 +14,7 @@ from autograd import elementwise_grad as egrad
 from .pyerrors import Obs, derived_observable, covariance, pseudo_Obs
 
 
-def standard_fit(x, y, func,n_parms="auto", silent=False, **kwargs):
+def standard_fit(x, y, func, silent=False, **kwargs):
     """Performs a non-linear fit to y = func(x) and returns a list of Obs corresponding to the fit parameters.
 
     x has to be a list of floats.
@@ -68,19 +68,16 @@ def standard_fit(x, y, func,n_parms="auto", silent=False, **kwargs):
     if not callable(func):
         raise TypeError('func has to be a function.')
 
-    if n_parms=="auto":
-        for i in range(25):
-            try:
-                func(np.arange(i), x.T[0])
-            except:
-                pass
-            else:
-                break
-        
+    for i in range(25):
+        try:
+            func(np.arange(i), x.T[0])
+        except:
+            pass
+        else:
+            break
 
-        n_parms = i
+    n_parms = i
 
-        
     if not silent:
         print('Fit with', n_parms, 'parameters')