add more details about rng reasoning

Author: sappelhoff

examples/anonymize_dataset.py

@@ -207,6 +207,10 @@
 # culture, like "42", or "1337". To obtain a truly random seed, you can paste
 # the following into your console:
 # ``python -c "import secrets; print(secrets.randbits(31))"``
+# Here, 31 bits correspond to the maximum seed "size" that the the legacy
+# ``RandomState`` by NumPy, which many scientific libraries still rely on,
+# can accept. For more information, see also this blog post on
+# `NumPy RNG best practices <https://blog.scientific-python.org/numpy/numpy-rng/>`_.
 #
 # .. note::
 #    Passing ``random_state`` merely guarantees that subject IDs and time shift