diff --git a/notebooks/02b-custom-tutorial.ipynb b/notebooks/02b-custom-tutorial.ipynb
index 0b06fe8cf..3d72c6c38 100644
--- a/notebooks/02b-custom-tutorial.ipynb
+++ b/notebooks/02b-custom-tutorial.ipynb
@@ -337,7 +337,7 @@
     "- psf: PSF for the filter. This can be provided in two ways:\n",
     "    - Providing a Galsim PSF model, e.g. `galsim.Kolmogorov(fwhm)` or any convolution of such models.\n",
     "    - Providing a function which returns a Galsim model when called (with no arguments). This can be used when you \n",
-    "      you want to randomize the PSF. More on that in the example below.\n",
+    "      you want to randomize the PSF.\n",
     "    In the case of the default surveys, we only use the first possibility, computing the model using the get_psf function beforehand; those models have an atmospheric and an optical component.\n",
     "\n",
     "Surveys are usually imported using `btk.survey.get_surveys(survey_names)`, which will create the Survey object(s) from a config file (currently, the implemented surveys are Rubin, HSC, HST, Euclid, DES and CFHT); it is also possible to create them directly in Python.\n",