diff --git a/caliGraph.py b/caliGraph.py
index 4e80385..083138b 100755
--- a/caliGraph.py
+++ b/caliGraph.py
@@ -398,7 +398,7 @@ def scoreOpinions(G, globMu, globStd):
                 node['mean'], node['std'] = norm.fit(feedbacks)
                 node['se'] = globStd / math.sqrt(len(feedbacks))
                 ratio = len(feedbacks) / len(adjacens)
-                node['score'] = node['mean']
+                node['score'] = node['mean'] + globStd/3 - node['se']
                 node['feedbacks'] = feedbacks
             else:
                 node['score'] = None
@@ -1186,7 +1186,7 @@ def findNewBooks(G, books, mu, num=-1, minRecSco=5):
                 ses.append(min(ses))
                 scores.append(mu)
                 node['fake_se'] = sum(ses)/(len(ses)**1.2) + 0.5 + 0.5 * (len(scores)==2) # This is not how SE works. DILLIGAF?
-                node['score'] = sum(scores)/len(scores)*1.2 - node['fake_se']*2 + 0.5 - 0.1/math.sqrt(len(scores))
+                node['score'] = sum(scores)/len(scores)*1.2 - node['fake_se']*1.6 + 0.5 - 0.1/math.sqrt(len(scores))
                 if len(scores)==2:
                     node['score']*=0.80
                 node['value'] = 20 + 5 * float(node['score'])