diff --git a/server/nightr/app.py b/server/nightr/app.py
index a141134..6d65d1c 100644
--- a/server/nightr/app.py
+++ b/server/nightr/app.py
@@ -21,6 +21,7 @@ strategies = {
     "steam": (1.0, steam.probability),
     "australia": (1.0, miloStrats.australiaStrat),
     "camera": (1.0, miloStrats.camImgStrat),
+    "tv2news": (1.0, miloStrats.tv2newsStrat)
 }
 
 
diff --git a/server/nightr/strategies/miloStrats.py b/server/nightr/strategies/miloStrats.py
index a571d08..49875e6 100644
--- a/server/nightr/strategies/miloStrats.py
+++ b/server/nightr/strategies/miloStrats.py
@@ -1,9 +1,11 @@
 from datetime import datetime
+import requests
 
 import cv2
 from pytz import timezone
 
 from ..util import Context, Prediction
+#from server.nightr.util import Context, Prediction
 
 
 def camImgStrat(context : Context) -> Prediction:
@@ -25,16 +27,37 @@ def camImgStrat(context : Context) -> Prediction:
 
 def australiaStrat(context : Context) -> Prediction:
     """
-    Time in Australia
+    Using time in Australia
     """
     australia = timezone('Australia/Melbourne')
     t = datetime.now().astimezone(australia)
     hour = t.hour
     p = Prediction()
     if hour > 22 or hour < 6:
-        p.probability = 1.0
-        p.reasons.append('It\'s day-time in Australia')
-    else:
         p.probability = 0.0
         p.reasons.append('It\'s night-time in Australia')
+    else:
+        p.probability = 1.0
+        p.reasons.append('It\'s day-time in Australia')
     return p
+
+def tv2newsStrat(context : Context) -> Prediction:
+    r = requests.get('http://mpx.services.tv2.dk/api/latest')
+    data = r.json()
+    publish_dates = [(x['pubDate'])//1000 for x in data][:10]
+    delta_times = []
+    for i in range(len(publish_dates)):
+        if i == 0 : continue
+        delta_times.append(publish_dates[i-1] - publish_dates[i])
+
+    avg_delta = 0
+    for d in delta_times:
+        avg_delta += d
+    avg_timestamp = avg_delta // len(delta_times) // 60
+    p = Prediction()
+    print('average time between articles on tv2:', avg_timestamp, 'minutes')
+    p.probability = 1.0 if avg_timestamp > 50 else 0.0
+    p.reasons.append('There were ' + ('few' if avg_timestamp > 50 else 'many') + ' recent articles on TV2 News')
+    print(p.reasons[0])
+    return p
+