diff --git a/paper.tex b/paper.tex
index 826cc1a..97ffc38 100644
--- a/paper.tex
+++ b/paper.tex
@@ -34,6 +34,8 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %
 
+% TODO: "The right strategy" pun
+
 \titlespacing*{\section}
 {0mm}{3mm}{1mm}
 
@@ -280,11 +282,11 @@ the time dispensing water, is \cite[Section 14.3]{stewart_probability_2009}%
     ,%
 \end{align*}%
 where $S$ denotes the service time (i.e., the time spent refilling a bottle),
-$\lambda$ the mean arrival time, and $\rho = \lambda \cdot E\mleft\{
+$\lambda$ the mean arrival rate, and $\rho = \lambda \cdot E\mleft\{
 S \mright\}$ the system utilization. Using our
 experimental data we can approximate all parameters and obtain
-\todo{$W \approx \SI{4}{\second}$}. The difference to always using
-the fastest strategy can be calculated as \todo{$\SI{5}{\second}$}.
+$W \approx \SI{23.3}{\second}$. The difference to always using
+the fastest strategy amounts to $\SI{4.14}{\second}$.
 % We examine the effects of the choice of hydration strategy. To
 % this end, we start by estimating the potential time savings possible by always
 % choosing the fastest strategy:%