diff --git a/Lectures_my/EMPP/Lecture1/mchrzasz.tex b/Lectures_my/EMPP/Lecture1/mchrzasz.tex
index c6b3532..f58acc8 100644
--- a/Lectures_my/EMPP/Lecture1/mchrzasz.tex
+++ b/Lectures_my/EMPP/Lecture1/mchrzasz.tex
@@ -370,7 +370,13 @@
 $\rightarrowtail$ We compared the obtained value to the true and observed roughly a $\sqrt{N}$ dependence on the difference between the true value and the obtained one.\\
 }
 $\rightarrowtail$ Could we test this? YES! Lets put our experimentalist hat on!\\
-$\rightarrowtail$ From the begging of studies they tooth us to get the error you need to repeat the measurements, so let's do that:
+$\rightarrowtail$ From the begging of studies they tooth us to get the error you need to repeat the measurements.
+\only<1>
+{
+\begin{exampleblock}{The algorithm:}                                                                                                                                                                                                                                                                                                
+Previous time we measured Euler number using $N$ events, where $N \in (100, 1000, 10000, 100000)$. Now lets repeat this measurement $n_N$ times (of course each time we use new generated numbers). From the distribution of $\hat{e} -e$ we could say something about the uncertainty of our estimator for given $N$.
+ \end{exampleblock} 
+}
 
 \begin{center}
 \only<2>