diff --git a/README.md b/README.md
index 52e8fa69ddfb8fe5efc6a90ab6e90bdeaa60db94..137a38c4004948932e440432c011b61ad70579b8 100644
--- a/README.md
+++ b/README.md
@@ -322,6 +322,9 @@ y_data[x_data >= 2] = 4
 y_data += np.random.normal(0, 0.3, len(y_data))
 ```
 
+**Important: Forging data, manipulating data or copying from others is a clear
+violation of "good scientific practices". Violations will have consequences.**
+
 Finally, we can add this to our plot. Since our data points are subject to
 statistical fluctuations, we would like to use matplotlib's `errorbar` method,
 which draws our data points as dots with error bars.