diff --git a/README.md b/README.md
index a650a40..98303c8 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ Take any normal serial but parallelizable for-loop and execute it in parallel us
 Don't worry about the technical details of using the multiprocessing module, race conditions, queues,
 parfor handles all that. 
 
-Tested on linux on python 2.7 and 3.8
+Tested on linux on python 2.7 and 3.8 and on Windows and OSX on python 3.8.
 
 ## Why is parfor better than just using multiprocessing?
 - Easy to use
@@ -28,6 +28,8 @@ is because the individual processes cannot terminate. Importing javabridge (used
 java virtual machine can cause it to hang since the processes only terminate after the java vm has quit. In this case,
 pass terminator=javabridge.kill_vm to parfor.
 
+On OSX the buffer bar does not work due to limitations of the OS.
+
 ## Arguments
 ### Required:
     fun:      function taking arguments: iteration from  iterable, other arguments defined in args & kwargs
diff --git a/parfor/__init__.py b/parfor/__init__.py
index c793539..fac34de 100644
--- a/parfor/__init__.py
+++ b/parfor/__init__.py
@@ -348,7 +348,10 @@ class parpool(object):
 
     def _qbar_update(self):
         if not self.qbar is None:
-            self.qbar.n = self.Qi.qsize()
+            try:
+                self.qbar.n = self.Qi.qsize()
+            except:
+                pass
 
     def __setitem__(self, handle, n):
         """ Add new iteration. """
diff --git a/setup.py b/setup.py
index eb4b936..a5ff993 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ with open("README.md", "r") as fh:
 
 setuptools.setup(
     name="parfor",
-    version="2020.09.3",
+    version="2020.09.4",
     author="Wim Pomp",
     author_email="wimpomp@gmail.com",
     description="A package to mimic the use of parfor as done in Matlab.",