diff --git a/paper.md b/paper.md
index 04bda9b8e4b7ad0165429bdeb54aa27e06743fa4..43d907517f68483c5dcf5f5c71500f9291bf7ca4 100755
--- a/paper.md
+++ b/paper.md
@@ -224,7 +224,7 @@ In all cases adaptive sampling performs better, where the error is a factor 1.6-
 ](figures/line_loss_error.pdf){#fig:line_loss_error}
 
 Figure @fig:line_loss_error shows this error as function of the number of points $N$.
-Here, we see that for homogeneous sampling to get the same error as sampling with a line loss, a factor $\approx 10$ times more points are needed.
+Here, we see that for homogeneous sampling to get the same error as sampling with a line loss, a factor $\approx 1.6-20$ times more points are needed, depending on the function.
 
 ## A parallelizable adaptive integration algorithm based on cquad