diff --git a/CHANGELOG.md b/CHANGELOG.md
index f523940..24509db 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,7 +9,14 @@ You should also add project tags for each release in Github, see [Managing relea
 ## [Unreleased]
 ### Changed
 - GitHub workflow for linting and formatting uses ruff as a separate job
+
+### Fixed
+- Fixed bug where only every other file was read instead of all files
 - Fixed Logging bug in `add_tokenize_docs` in `word_count.py`
+
+### Added
+- Added note for Z shell users to use quotes when running `pip install -e .'[test,dev]'`
+
 ### Removed
 - GitHub action to run flake8 for linting in build
 - Removed wildcard from corpus-counter script dependency
diff --git a/README.md b/README.md
index b131646..cacd064 100644
--- a/README.md
+++ b/README.md
@@ -15,6 +15,7 @@ Use these steps for setting up a development environment to install and work wit
 3) Install the package.
 	- If you want to just use the scripts and package features, install the project by running `pip install .` from the root directory.
 	- If you will be changing the code and running tests, you can install it by running `pip install -e .[test,dev]`. The `-e/--editable` flag means local changes to the project code will always be available with the package is imported. You wouldn't use this in production, but it's useful for development.
+  - Note for zsh users: use `pip install -e .'[test,dev]'`
 
 
 For example, if you use Conda, you would run the following to create an environment named `template` with python version 3.10, then activate it and install the package in developer mode:
diff --git a/src/cdstemplate/corpus_counter_script.py b/src/cdstemplate/corpus_counter_script.py
index 63f45e1..e6d7e1b 100644
--- a/src/cdstemplate/corpus_counter_script.py
+++ b/src/cdstemplate/corpus_counter_script.py
@@ -56,7 +56,7 @@ def main(csv_out, document_dir, case_insensitive=False):
     for i, doc in enumerate(documents):
         if i % 2 == 0:
             logger.info("Tokenizing document number %s: %s", i, doc)
-            cc.add_doc(Path(doc).read_text())
+        cc.add_doc(Path(doc).read_text())
 
     cc.save_token_counts(csv_out)