diff --git a/pomodoro_to_harvest.py b/pomodoro_to_harvest.py
index caf6524..a5bb1df 100644
--- a/pomodoro_to_harvest.py
+++ b/pomodoro_to_harvest.py
@@ -1,5 +1,6 @@
 import pandas as pd
 import numpy as np
+import re
 import settings
 
 timelog = pd.read_csv(settings.pomodoro_logfile())
@@ -47,8 +48,15 @@ timelog['project'] = timelog['project'].str.strip()
 # task), then multiply the time by it and remove it from the description.
 # Ensure we're splitting on the same asterisk we found:  Use the end of string
 # signifier in the regular expression ($), and split from the right.
-timelog['tmp_multiplier'] = (np.where(timelog['description'].str.contains('\*\s*\d$'), timelog['description'].str.rsplit('*', 1).str[1].str.strip(), 1))
-timelog['description'] = (np.where(timelog['description'].str.contains('\*\s*\d$'), timelog['description'].str.rsplit('*', 1).str[0], timelog['description']))
+p = re.compile(r'\*\s*\d$')
+# On some systems, using np.where worked but others failed.  Why it worked is
+# unknown but why it failed is because numpy where evaluates all parts, even
+# the parts that will never get used because the where clause does not apply!
+# This caused the chained strings to fail because— no string.
+# timelog['tmp_multiplier'] = (np.where(timelog['description'].str.contains('\*\s*\d$'), timelog['description'].str.rsplit('*', 1).str[1].str.strip(), 1))
+# timelog['description'] = (np.where(timelog['description'].str.contains('\*\s*\d$'), timelog['description'].str.rsplit('*', 1).str[0], timelog['description']))
+timelog['tmp_multiplier'] = timelog['description'].apply(lambda x: x.rsplit('*', 1)[1].strip() if p.search(x) else 1)
+timelog['description'] = timelog['description'].apply(lambda x: x.rsplit('*', 1)[0] if p.search(x) else x)
 timelog["time"] = timelog["time"] * timelog['tmp_multiplier'].astype(int)
 timelog.drop(columns=['tmp_multiplier'], inplace=True)