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diff --git a/desiredata/doc/2.control.examples/20.weighted-random.pd b/desiredata/doc/2.control.examples/20.weighted-random.pd
deleted file mode 100644
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--- a/desiredata/doc/2.control.examples/20.weighted-random.pd
+++ /dev/null
@@ -1,44 +0,0 @@
-#N canvas 161 46 660 441 12;
-#X msg 103 95 bang;
-#X text 389 414 updated for Pd version 0.35;
-#X text 44 19 You can generate weighted random numbers from uniformly
-distributed ones. If you just want two possible outcomes with a varying
-probability for each one \, you can do as shown:;
-#X obj 103 121 random 100;
-#X obj 102 174 bng 20 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
--1;
-#X obj 169 174 bng 20 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
--1;
-#X floatatom 205 148 3 0 100;
-#X text 250 148 <-- change probablilty;
-#X obj 103 149 moses 80;
-#X text 152 93 <-- click to test;
-#X text 61 219 This outputs a number at left 80% of the time \, otherwise
-at right \, unless you override the "80" using the number box. You
-may extend this to more than two possible outcomes \, for instance
-like this:;
-#X msg 106 305 bang;
-#X obj 106 331 random 100;
-#X obj 105 384 bng 20 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
--1;
-#X obj 195 387 bng 20 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
--1;
-#X text 155 303 <-- click to test;
-#X obj 106 359 moses 10;
-#X obj 196 360 moses 30;
-#X obj 263 387 bng 20 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
--1;
-#X text 103 409 10%;
-#X text 193 410 20%;
-#X text 265 409 70%;
-#X connect 0 0 3 0;
-#X connect 3 0 8 0;
-#X connect 6 0 8 1;
-#X connect 8 0 4 0;
-#X connect 8 1 5 0;
-#X connect 11 0 12 0;
-#X connect 12 0 16 0;
-#X connect 16 0 13 0;
-#X connect 16 1 17 0;
-#X connect 17 0 14 0;
-#X connect 17 1 18 0;