WEBVTT 00:00:00.000 --> 00:00:05.700 align:middle line:84% And we actually have one more poem from this book. 00:00:05.700 --> 00:00:07.380 align:middle line:84% At some point in my life, I noticed 00:00:07.380 --> 00:00:11.470 align:middle line:84% that I didn't cry as much as I used to when I was younger. 00:00:11.470 --> 00:00:14.670 align:middle line:84% I'm not like a child, but when you're in your 20s, 00:00:14.670 --> 00:00:18.180 align:middle line:84% you cry more than when you're in your 30s, I think, or 40s, 00:00:18.180 --> 00:00:19.290 align:middle line:90% at least I did. 00:00:19.290 --> 00:00:22.350 align:middle line:84% And I started writing poems about crying, 00:00:22.350 --> 00:00:25.720 align:middle line:84% or the longing to cry, or something like that. 00:00:25.720 --> 00:00:27.990 align:middle line:90% This is called, "Measuring." 00:00:27.990 --> 00:00:30.570 align:middle line:84% And I guess another inspiration here 00:00:30.570 --> 00:00:33.090 align:middle line:84% is that when I was once in Montpelier, Vermont, 00:00:33.090 --> 00:00:36.630 align:middle line:84% I was in a museum where they had these tear vial glasses. 00:00:36.630 --> 00:00:39.710 align:middle line:84% People actually would save their tears in Victorian times. 00:00:39.710 --> 00:00:41.710 align:middle line:84% I don't know what they did with them after that, 00:00:41.710 --> 00:00:44.100 align:middle line:84% but there were tear vial glasses, 00:00:44.100 --> 00:00:45.900 align:middle line:90% and that gets into the poem too. 00:00:45.900 --> 00:00:48.810 align:middle line:84% Called, "Measuring," "We're watching the sad movie 00:00:48.810 --> 00:00:50.830 align:middle line:90% for the seventh time today. 00:00:50.830 --> 00:00:53.910 align:middle line:84% Let's take off our tear vial glasses and observe. 00:00:53.910 --> 00:00:57.570 align:middle line:84% Like yawns, tears travel the audience, dumb tears, 00:00:57.570 --> 00:01:00.090 align:middle line:84% cockney tears, red, white, and blue tears, 00:01:00.090 --> 00:01:02.550 align:middle line:84% touching only to his mother tears. 00:01:02.550 --> 00:01:04.800 align:middle line:84% Leaky tear valves fill the Potomac. 00:01:04.800 --> 00:01:08.040 align:middle line:84% Frenchmen cry into their berets, children cry 00:01:08.040 --> 00:01:10.200 align:middle line:90% on metal decks of ocean liners. 00:01:10.200 --> 00:01:13.410 align:middle line:84% I'd like to cry with you for just one minute, five short 00:01:13.410 --> 00:01:16.200 align:middle line:84% of the national average for women, but then again, 00:01:16.200 --> 00:01:17.730 align:middle line:90% I'm no average woman. 00:01:17.730 --> 00:01:20.610 align:middle line:84% We could conquer television with our true emotions, 00:01:20.610 --> 00:01:24.630 align:middle line:84% make announcers weep, and executives foam like geysers. 00:01:24.630 --> 00:01:27.600 align:middle line:84% I'll cry over the burned English muffin on my plate, 00:01:27.600 --> 00:01:29.640 align:middle line:90% you'll cry into the sink. 00:01:29.640 --> 00:01:30.930 align:middle line:90% What are tears like? 00:01:30.930 --> 00:01:33.540 align:middle line:90% 00:01:33.540 --> 00:01:37.140 align:middle line:84% Variety shows, door keepers who've lost their keys, 00:01:37.140 --> 00:01:41.100 align:middle line:84% mother in laws naked, a shabby church where a Madonna is 00:01:41.100 --> 00:01:43.350 align:middle line:90% said to have wept last Tuesday. 00:01:43.350 --> 00:01:48.480 align:middle line:84% We lose patience with our own grand gestures. 00:01:48.480 --> 00:01:52.050 align:middle line:84% We are left with one memento, the saddest of them all, 00:01:52.050 --> 00:01:57.020 align:middle line:84% our desire to emote like factory chimneys in December."