diff --git a/README.md b/README.md
index fe999d006258887aa163bf647ddff194d12028e5..c54c952980a81a91e91943a02018bee57a63f466 100644
--- a/README.md
+++ b/README.md
@@ -10,10 +10,7 @@ The user can add values to the sample or start a new series.
 The graphs do not mention explicitely "Q" as y_label,  because this too can also be used for rainfall analysis illustration.
 Q(T) relationship are diplayed with uncertainty, with either return periods or frequency as absicissis.
 
-It is so far in french, but an option for English captions is on its way (through a file with translations implemented a s dictionnaries)
-
-## HydroDemo_Sample2Gumbel2Damages is on its way
-By adding the definition of a discharge-frequency table, for one or more land-uses, an spinoff named Sample2Gumbal2Damages computes the damages per land use and per event, as another chronological time-series, and compares the observes damages per land-use and total per  year on average to the Annual Average Damage estimated from the damage-frequency curve.
+It is so far in french, but an option for English captions is on its way (translations implemented as a dictionnaries in a separate python file)
 
 ## SEE WIKI PAGES FOR DETAILED EXPLANATIONS
 
@@ -22,3 +19,8 @@ Benjamin Renard, Probabilités et Statistiques appliquées à l'Hydrologie : htt
 
 
 ![screenshot](/Images/DixAnsAvecCentennaleEtQuinquennale.png)
+
+## HydroDemo_Sample2Gumbel2Damages is on its way
+By adding the definition of a discharge-frequency table, for one or more land-uses, an spinoff named Sample2Gumbal2Damages computes the damages per land use and per event, as another chronological time-series, and compares the observes damages per land-use and total per  year on average to the Annual Average Damage estimated from the damage-frequency curve.
+
+![screenshot](/Images/Damage600yrs.PNG)