diff --git a/.gitignore b/.gitignore
index 88230a54..f10a0816 100644
--- a/.gitignore
+++ b/.gitignore
@@ -143,4 +143,7 @@ dmypy.json
 
 # End of https://www.toptal.com/developers/gitignore/api/python
 # Custom exclusions:
-.DS_Store
\ No newline at end of file
+.DS_Store
+
+# 
+/videos
\ No newline at end of file
diff --git a/example_scenes.py b/example_scenes.py
index 8cfd3cd3..fb32966b 100644
--- a/example_scenes.py
+++ b/example_scenes.py
@@ -111,6 +111,9 @@ class SquareToCircle(Scene):
 
 class TexTransformExample(Scene):
     def construct(self):
+        kw = {
+            "substrings_to_isolate": ["B", "C", "="]
+        }
         lines = VGroup(
             # Surrounding substrings with double braces
             # will ensure that those parts are separated
@@ -119,10 +122,14 @@ class TexTransformExample(Scene):
             # to the strings [A^2, +, B^2, =, C^2]
             TexMobject("{{A^2}} + {{B^2}} = {{C^2}}"),
             TexMobject("{{A^2}} = {{C^2}} - {{B^2}}"),
-            TexMobject(
-                "A = \\sqrt{(C + B)(C - B)}",
-                substrings_to_isolate=["A", "B", "C"]
-            ),
+            # Alternatively, you can pass in the keyword argument
+            # substrings_to_isolate with a list of strings that
+            # should be broken out as their own submobject.  So
+            # both lines below are equivalent to what you'd get
+            # by wrapping every instance of "B", "C" and "=" with
+            # double braces
+            TexMobject("{{A^2}} = (C + B)(C - B)", **kw),
+            TexMobject("A = \\sqrt{(C + B)(C - B)}", **kw)
         )
         lines.arrange(DOWN, buff=LARGE_BUFF)
         for line in lines:
@@ -133,28 +140,68 @@ class TexTransformExample(Scene):
             })
 
         self.add(lines[0])
-
         # The animation TransformMatchingTex will line up parts
-        # of the source and target which have matching tex strings
-        self.play(TransformMatchingTex(
-            lines[0].copy(), lines[1],
-            run_time=2, path_arc=90 * DEGREES,
-        ))
+        # of the source and target which have matching tex strings.
+        # Here, giving it a little path_arc makes each part sort of
+        # rotate into their final positions, which feels appropriate
+        # for the idea of rearranging an equation
+        self.play(
+            TransformMatchingTex(
+                lines[0].copy(), lines[1],
+                path_arc=90 * DEGREES,
+            ),
+        )
         self.wait()
-        # The animation TransformMatchingShapes will line up parts
-        # of the source and target which have matching shapes, regardless
-        # of where they fall in the mobject family heirarchies.
-        # For example, calling TransformMatchingTex below would not
-        # quite look like we want, becuase lines[2] has none of its
-        # substringsisolated, and even if it did it would not know to
-        # match the symbol "C", say, from line[1] to the "C" from line[2],
-        # since in line[1] it is tied up with the full C^2 submobject.
-        # However, TransformMatchingShapes just does its best to pair
-        # pieces which look the same
-        self.play(TransformMatchingShapes(
-            lines[1].copy(), lines[2],
-            run_time=2,
-        ))
+
+        # Now, we could try this again on the next line...
+        self.play(
+            TransformMatchingTex(lines[1].copy(), lines[2]),
+        )
+        self.wait()
+        # ...and this looks nice enough, but since there's no tex
+        # in lines[2] which matches "C^2" or "B^2", those terms fade
+        # out to nothing while the C and B terms fade in from nothing.
+        # If, however, we want the C to go to C, and B to go to B, but
+        # we don't want to think about breaking up the tex string
+        # differently, we could instead try TransformMatchingShapes,
+        # which will line up parts of the source and target which
+        # have matching shapes, regardless of where they fall in the
+        # mobject family heirarchies.
+        self.play(FadeOut(lines[2]))
+        self.play(
+            TransformMatchingShapes(lines[1].copy(), lines[2]),
+        )
+        # That's almost what we want, but if you were finicky you
+        # might complain that all the exponents from lines[1] got
+        # to the 2 in A^2, since that's the only part of lines[2]
+        # which matches the shape of a 2.  In this case, one option
+        # would be to use TransformMatchingTex on the left-hand-side,
+        # but TransformMatchingShapes on the right-hand-side
+        eq_index = lines[1].index_of_part_by_tex("=")
+        self.play(FadeOut(lines[2]))
+        self.play(
+            TransformMatchingTex(
+                lines[1][:eq_index].copy(),
+                lines[2][:eq_index],
+            ),
+            TransformMatchingShapes(
+                lines[1][eq_index:].copy(),
+                lines[2][eq_index:],
+            ),
+        )
+        self.wait()
+
+        # And to finish off, a simple TransformMatchingShapes will do,
+        # though maybe we really want that exponent from A^2 to turn
+        # into the square root, so we set fade_transform_mismatches to
+        # True so that parts with mis-matching shapes transform into
+        # each other.
+        self.play(
+            TransformMatchingShapes(
+                lines[2].copy(), lines[3],
+                fade_transform_mismatches=True,
+            ),
+        )
         self.wait()