1 00:00:01,639 --> 00:00:04,520 Speaker 1: Hey, Brian, Hi Katie. So while we're on our summer break, 2 00:00:04,519 --> 00:00:07,200 Speaker 1: we've been revisiting some of our favorite episodes of this show, 3 00:00:07,240 --> 00:00:09,040 Speaker 1: but it'd be nice to mix it up a little 4 00:00:09,039 --> 00:00:10,760 Speaker 1: bit this week. And I know just the way to 5 00:00:10,800 --> 00:00:13,760 Speaker 1: do that, Brian. How about giving Alan Alda a call. 6 00:00:13,960 --> 00:00:16,480 Speaker 1: Alan Alda is and the actor from Mash and thirty 7 00:00:16,560 --> 00:00:18,400 Speaker 1: Rock and The West Wing and about a million other 8 00:00:18,400 --> 00:00:21,400 Speaker 1: shows I love. Yes, but we were supposed to call 9 00:00:21,520 --> 00:00:30,360 Speaker 1: him ten minutes ago. Oops hove Hello, Hi Alan Alda. 10 00:00:30,640 --> 00:00:34,200 Speaker 1: In the category of better late than never, it's Katie Currak. 11 00:00:34,320 --> 00:00:37,560 Speaker 1: How are you, Katie? I'm great. How are you doing? 12 00:00:37,880 --> 00:00:40,000 Speaker 1: So nice to hear your voice. And I'm here with 13 00:00:40,040 --> 00:00:44,360 Speaker 1: my colleague Brian Goldsmith, who's also my podcast co host, 14 00:00:44,640 --> 00:00:48,519 Speaker 1: who is a gigantic fan of yours. Brian, Meet Allan. 15 00:00:49,479 --> 00:00:52,120 Speaker 1: I don't know whether to call you Allan or Senator 16 00:00:52,240 --> 00:00:55,880 Speaker 1: Arnie Vinnick. But that goes back to my West Wing days. Yeah, 17 00:00:55,920 --> 00:00:59,120 Speaker 1: I think Allen is probably good. Now, I'm not I'm 18 00:00:59,120 --> 00:01:02,080 Speaker 1: not I'm not rich stuff like a senator. What are 19 00:01:02,120 --> 00:01:05,679 Speaker 1: you wearing? You know? That's I reserve that for text 20 00:01:05,720 --> 00:01:15,000 Speaker 1: communications or sex communications as and certainly devolving but Alan, 21 00:01:15,040 --> 00:01:18,000 Speaker 1: our podcast is going to be taking a summer break, 22 00:01:18,560 --> 00:01:21,440 Speaker 1: but we still want to give our audience something wonderful 23 00:01:21,480 --> 00:01:25,040 Speaker 1: to listen to. And we've heard so much about your podcast, 24 00:01:25,440 --> 00:01:29,320 Speaker 1: and we thought, why not steal an episode of Alan show? 25 00:01:29,760 --> 00:01:33,360 Speaker 1: What do you think? I think that's so great of you. 26 00:01:33,600 --> 00:01:35,920 Speaker 1: I love it. I love I'd love the chance to 27 00:01:35,920 --> 00:01:39,319 Speaker 1: introduce our podcast to your audience. Are you enjoying this 28 00:01:39,360 --> 00:01:43,000 Speaker 1: whole new medium. I can't tell you. I'm enjoying it 29 00:01:43,040 --> 00:01:46,000 Speaker 1: more than I thought I would, And I mean I 30 00:01:46,040 --> 00:01:49,440 Speaker 1: thought i'd enjoy it, but this is just wonderful. We have. 31 00:01:50,240 --> 00:01:54,320 Speaker 1: I enjoy the conversations I have. We have wonderful conversationalists 32 00:01:54,400 --> 00:01:58,240 Speaker 1: on and we talk about this subject that I'm obsessed with, 33 00:01:58,320 --> 00:02:02,600 Speaker 1: which is relating to other people when communicating the hard 34 00:02:02,680 --> 00:02:05,080 Speaker 1: things to them. And you've been obsessed with that for 35 00:02:05,160 --> 00:02:07,880 Speaker 1: quite a while. I know that sort of the art 36 00:02:07,920 --> 00:02:12,359 Speaker 1: of conversation and communication is something you've been focused on 37 00:02:12,480 --> 00:02:17,000 Speaker 1: for for a few years now, right, really at least 38 00:02:17,000 --> 00:02:20,760 Speaker 1: twenty five years, because I've started working on that when 39 00:02:20,800 --> 00:02:24,760 Speaker 1: I was interviewing scientists on the Science Program on PBS, 40 00:02:25,360 --> 00:02:28,919 Speaker 1: which I did for eleven or twelve years, and then 41 00:02:28,960 --> 00:02:32,200 Speaker 1: I started. I helped start a Center for Communicating Science 42 00:02:32,240 --> 00:02:36,720 Speaker 1: at Stony Brook University. So we've been training scientists to 43 00:02:36,760 --> 00:02:41,560 Speaker 1: communicate better and medical professionals all over the world, thousands 44 00:02:41,600 --> 00:02:45,080 Speaker 1: of them. And now it's just pure fun talking to 45 00:02:45,960 --> 00:02:51,360 Speaker 1: people like Sarah Silverman, and it's a permanent judge Judy 46 00:02:51,440 --> 00:02:53,400 Speaker 1: and people that you don't even know so well, like 47 00:02:54,160 --> 00:02:56,280 Speaker 1: I don't know if you heard this. Kate Bowler is 48 00:02:56,320 --> 00:03:01,440 Speaker 1: a writer who has UH fatal illness and she wrote 49 00:03:01,480 --> 00:03:04,160 Speaker 1: a really funny book and we have a really wonderful 50 00:03:04,560 --> 00:03:07,840 Speaker 1: conversation about the terrible ways people have tried to cheer 51 00:03:07,840 --> 00:03:10,720 Speaker 1: her up. I bet that's sort of funny and sad 52 00:03:10,760 --> 00:03:13,920 Speaker 1: at the same time. But yeah, it's very emotional. Clearly, 53 00:03:14,360 --> 00:03:18,000 Speaker 1: you're trying to be instructive through your art of conversation. 54 00:03:18,160 --> 00:03:21,720 Speaker 1: You're trying to broach how to have a conversation, which 55 00:03:21,760 --> 00:03:25,800 Speaker 1: is a really interesting concept. You know. It's that's right 56 00:03:25,919 --> 00:03:30,160 Speaker 1: because it's not didactic, it's not a lecture. It's it's 57 00:03:30,400 --> 00:03:33,560 Speaker 1: pure conversation and it and it takes place on both 58 00:03:33,639 --> 00:03:37,000 Speaker 1: sides of the microphone. I mean, I'm I'm conversing with them, 59 00:03:37,000 --> 00:03:39,840 Speaker 1: I'm not interviewing them. Not asking them a list of questions, 60 00:03:40,280 --> 00:03:42,720 Speaker 1: and things come up that neither one of us expected. 61 00:03:43,240 --> 00:03:46,200 Speaker 1: So it's it's it's alive, and that's why I'm having 62 00:03:46,240 --> 00:03:50,440 Speaker 1: such a wonderful time. And they get surprises, you know. 63 00:03:50,720 --> 00:03:54,800 Speaker 1: I talked to Renee Fleming, who's doing this wonderful thing 64 00:03:54,800 --> 00:03:59,320 Speaker 1: about exploring with with scientists to healing power of music, 65 00:04:00,040 --> 00:04:02,560 Speaker 1: and this you'll love. I didn't expect this to come 66 00:04:02,560 --> 00:04:05,520 Speaker 1: out of her. Sometimes when she's recognized, when she's out 67 00:04:05,560 --> 00:04:08,480 Speaker 1: in public, people come up to her and say, I 68 00:04:08,520 --> 00:04:12,240 Speaker 1: love you, Katie Kirk. I know, isn't that funny. I 69 00:04:12,280 --> 00:04:14,680 Speaker 1: was actually near Lincoln Center and someone came up to 70 00:04:14,720 --> 00:04:17,280 Speaker 1: me and said, Renee Fleming, I love you so much. 71 00:04:17,839 --> 00:04:20,080 Speaker 1: And I said, gosh, I can't sing a note, but 72 00:04:20,200 --> 00:04:24,520 Speaker 1: thank you, or you should just say thank you anyway. 73 00:04:24,760 --> 00:04:27,320 Speaker 1: And then the person thought, my god, Renee Fleming can't sing. 74 00:04:28,520 --> 00:04:31,479 Speaker 1: Alan Um, that's been I'm afraid of. People come up 75 00:04:31,520 --> 00:04:33,520 Speaker 1: to me and tell me that they love my work, 76 00:04:34,200 --> 00:04:37,920 Speaker 1: and then they call me Alan Arkin and sometimes they 77 00:04:37,920 --> 00:04:41,839 Speaker 1: even get his mail. Wow, Alan, I saw a New 78 00:04:41,920 --> 00:04:44,960 Speaker 1: York Post headline that called you the world's oldest millennial. 79 00:04:45,120 --> 00:04:49,880 Speaker 1: I thought that was my job first of all. Second, 80 00:04:50,240 --> 00:04:54,800 Speaker 1: I just I've since computers came out, I've I've always 81 00:04:54,920 --> 00:04:59,160 Speaker 1: loved them. And and I tried to teach myself to 82 00:05:00,040 --> 00:05:04,960 Speaker 1: the program a computer that was so early that my 83 00:05:05,040 --> 00:05:08,120 Speaker 1: watch now has more computing power than that first computer. 84 00:05:08,279 --> 00:05:10,599 Speaker 1: But I love to fool around with it. As a 85 00:05:10,640 --> 00:05:12,560 Speaker 1: matter of fact, you know what I do. I fixed 86 00:05:12,600 --> 00:05:16,480 Speaker 1: my friends computers, so I have I have an imaginary 87 00:05:16,560 --> 00:05:23,000 Speaker 1: company called Celebrity Tech Support, And and the slogan is 88 00:05:23,040 --> 00:05:28,000 Speaker 1: why letting nobody touch your stuff? I like it. I 89 00:05:28,040 --> 00:05:32,640 Speaker 1: like it, but real quickly I know that that one 90 00:05:32,680 --> 00:05:34,719 Speaker 1: of the reasons I think they called you that is 91 00:05:34,760 --> 00:05:38,039 Speaker 1: also because you're into this sort of new medium of 92 00:05:38,120 --> 00:05:42,440 Speaker 1: podcasts compared to the other work you've done, which has 93 00:05:42,480 --> 00:05:47,479 Speaker 1: been extraordinary. Alan, what what is it about podcasting that 94 00:05:47,560 --> 00:05:51,279 Speaker 1: you're really enjoying? Is it being able to kind of 95 00:05:51,880 --> 00:05:56,760 Speaker 1: have a conversation that doesn't have a time limit. That's 96 00:05:56,800 --> 00:06:00,479 Speaker 1: a wonderful part of it. Uh is some thing about 97 00:06:00,520 --> 00:06:05,599 Speaker 1: it that's homegrown, even when it's done professionally. And that's 98 00:06:05,640 --> 00:06:08,000 Speaker 1: interesting because I used to notice when I'd be when 99 00:06:08,040 --> 00:06:13,680 Speaker 1: I'd be interviewed on a very big television show like 100 00:06:13,680 --> 00:06:16,560 Speaker 1: like The Tonight show, there was a lot of attention 101 00:06:16,600 --> 00:06:19,839 Speaker 1: to what was going to be said. It wasn't very spontaneous. 102 00:06:20,839 --> 00:06:25,880 Speaker 1: He's going to ask you this, you answer that like that? Yeah, 103 00:06:25,960 --> 00:06:28,240 Speaker 1: I scripted. You know, they do a preus of view. 104 00:06:28,320 --> 00:06:30,480 Speaker 1: They find out what you have to say that might 105 00:06:30,520 --> 00:06:32,960 Speaker 1: be entertaining, and then they make sure you say it. 106 00:06:33,560 --> 00:06:35,640 Speaker 1: Whereas when I was on When I was on shows 107 00:06:35,680 --> 00:06:40,520 Speaker 1: that were less popular and therefore less stressful to the 108 00:06:40,560 --> 00:06:45,480 Speaker 1: produced producers, it was much more improvisational and much more fun, 109 00:06:45,800 --> 00:06:49,320 Speaker 1: and more unexpected things came out. And I think podcasts 110 00:06:49,360 --> 00:06:51,880 Speaker 1: are a little like that. Well, I know you had 111 00:06:51,880 --> 00:06:55,960 Speaker 1: a conversation on your podcast with Tina Fey, a fellow 112 00:06:56,120 --> 00:06:59,920 Speaker 1: uv A grad like me, um, and I think she's 113 00:07:00,040 --> 00:07:04,080 Speaker 1: so fantastic. So we thought we would run your conversation 114 00:07:04,520 --> 00:07:07,640 Speaker 1: with Tina Feye in place of one of our podcasts 115 00:07:07,640 --> 00:07:09,760 Speaker 1: while we take a break. What do you think, Oh, 116 00:07:09,840 --> 00:07:14,640 Speaker 1: that's wonderful. You know. The reason that the conversation with 117 00:07:14,720 --> 00:07:18,800 Speaker 1: Tina is so appropriate to my series is that I 118 00:07:18,920 --> 00:07:23,600 Speaker 1: learned so much about relating to other people from studying 119 00:07:23,640 --> 00:07:28,160 Speaker 1: and doing improvisation, and that's how Tina's started too. So 120 00:07:28,440 --> 00:07:31,440 Speaker 1: we both talk about improv but we even do some 121 00:07:32,360 --> 00:07:34,800 Speaker 1: in in the way that nobody's ever heard it before. 122 00:07:34,840 --> 00:07:37,000 Speaker 1: It I won't give it away, but this kind of funny. 123 00:07:37,000 --> 00:07:39,880 Speaker 1: But what how What about you with the podcast? What? 124 00:07:40,040 --> 00:07:43,120 Speaker 1: What's What's? What? What? Why do you think it's such 125 00:07:43,160 --> 00:07:45,320 Speaker 1: a good medium? What? What do you enjoy about it? 126 00:07:45,440 --> 00:07:49,240 Speaker 1: I think people are hungry for more depth and this 127 00:07:49,640 --> 00:07:53,840 Speaker 1: very sort of superficial society and media landscape that we've created, 128 00:07:54,360 --> 00:07:58,560 Speaker 1: where the news is so you know, seven and in 129 00:07:58,680 --> 00:08:01,960 Speaker 1: little snippets. I think the chance to really kind of 130 00:08:02,000 --> 00:08:07,240 Speaker 1: settle in listen and you know, feel close to a 131 00:08:07,320 --> 00:08:12,280 Speaker 1: conversation and learn something is extraordinarily appealing for a lot 132 00:08:12,320 --> 00:08:14,880 Speaker 1: of people, including my twenty two year old daughter. So 133 00:08:15,400 --> 00:08:17,760 Speaker 1: I think there's a hunger for I think there's a 134 00:08:17,800 --> 00:08:20,680 Speaker 1: hunger when we're out there, Alan, Yeah, I hear I 135 00:08:20,720 --> 00:08:24,360 Speaker 1: hear that same same response from from a wide range 136 00:08:24,400 --> 00:08:28,400 Speaker 1: of ages and experience. Well, people who are in their 137 00:08:28,440 --> 00:08:31,840 Speaker 1: twenties listen to us, and people in their eighties, and 138 00:08:31,840 --> 00:08:35,640 Speaker 1: and they're all interested in and just what you're talking about, 139 00:08:35,640 --> 00:08:39,640 Speaker 1: that conversational approach where things build on one another. Plus, 140 00:08:39,679 --> 00:08:42,600 Speaker 1: I think people must love hearing your voice because it's 141 00:08:42,640 --> 00:08:46,280 Speaker 1: so recognizable and I think, you know, I think it 142 00:08:46,440 --> 00:08:50,720 Speaker 1: probably you're the science person, but fires up neurons of 143 00:08:50,760 --> 00:08:55,079 Speaker 1: familiarity that actually produce endorphins. I'm just kind of making 144 00:08:55,120 --> 00:08:57,800 Speaker 1: this up, but it's doing it for me right now. 145 00:08:58,800 --> 00:09:02,360 Speaker 1: It's doing that for me right now. You have a 146 00:09:02,400 --> 00:09:05,960 Speaker 1: new field as a neuroscientist. I love. Yeah, I know. 147 00:09:06,160 --> 00:09:08,320 Speaker 1: Well listen, I've got to run, You've got to run. 148 00:09:08,360 --> 00:09:12,240 Speaker 1: But we were so grateful for you allowing us to 149 00:09:12,360 --> 00:09:16,480 Speaker 1: basically bogart one of your episodes and claim it as 150 00:09:16,520 --> 00:09:18,920 Speaker 1: our own. And if you ever take a break and 151 00:09:19,000 --> 00:09:21,480 Speaker 1: you want to throw one of our episodes in just 152 00:09:21,559 --> 00:09:24,920 Speaker 1: to mix things up a little bit, feel free. You're well, 153 00:09:25,000 --> 00:09:27,440 Speaker 1: I would love to, it would be great. I'd love 154 00:09:27,480 --> 00:09:31,240 Speaker 1: to have you on our series in any way possible. Well, 155 00:09:31,280 --> 00:09:33,559 Speaker 1: I'd love to come and talk to you personally, because 156 00:09:33,559 --> 00:09:35,800 Speaker 1: as you know, I'm a huge fan and a huge 157 00:09:36,200 --> 00:09:41,680 Speaker 1: longtime admirer of yours. And anyway, all the best, Alan, Hope, 158 00:09:41,679 --> 00:09:45,600 Speaker 1: I'll see you around town and h thank you so much, 159 00:09:46,200 --> 00:09:49,560 Speaker 1: thank you, Thanks, thank you to Brian the Senator, thank 160 00:09:49,559 --> 00:09:52,200 Speaker 1: you very much for coming on. Really appreciate it. Oh 161 00:09:52,280 --> 00:09:56,480 Speaker 1: my god, it's always about politics with this one. I'm 162 00:09:56,480 --> 00:09:59,920 Speaker 1: wearing my bathing suit. I'm not wearing a senator. That's 163 00:10:00,000 --> 00:10:03,120 Speaker 1: good to know. We'll go back into the pool. Okay, 164 00:10:03,440 --> 00:10:08,920 Speaker 1: talk to you later. Bye bye. Bryant. Isn't Alan all 165 00:10:09,000 --> 00:10:12,040 Speaker 1: the nicest person on the planet. He seems like it. 166 00:10:12,120 --> 00:10:14,320 Speaker 1: I mean, maybe he's an AX murderer in his private life, 167 00:10:14,360 --> 00:10:17,440 Speaker 1: but he seems really, really nice. I think he's nice 168 00:10:17,520 --> 00:10:20,520 Speaker 1: all the time. Anyway, Listeners will be back next week 169 00:10:20,559 --> 00:10:23,360 Speaker 1: with one more Summer Break podcast from the Vaults, but 170 00:10:23,440 --> 00:10:27,520 Speaker 1: for now, without further ado, here's Allen's conversation with the 171 00:10:27,559 --> 00:10:37,000 Speaker 1: one and only Tina Faye. Enjoy everyone, I'm Alan Alda 172 00:10:37,520 --> 00:10:42,440 Speaker 1: and this is clear and vivid conversations about connecting and communicating. 173 00:10:47,200 --> 00:10:51,080 Speaker 1: This conversation is with actor, writer, and producer and amazingly 174 00:10:51,200 --> 00:10:54,880 Speaker 1: talented person Tina Fay. You know teen of course, and 175 00:10:54,960 --> 00:10:57,720 Speaker 1: we're work on Saturday Night Live or best selling book 176 00:10:57,840 --> 00:11:01,440 Speaker 1: or movies and also for creating, starring and thirty Rock. 177 00:11:02,400 --> 00:11:04,760 Speaker 1: My conversation with Tina took place in front of a 178 00:11:04,840 --> 00:11:08,840 Speaker 1: live audience at the two thousand seventeen World Science Festival. 179 00:11:10,960 --> 00:11:18,360 Speaker 1: Good eating, Hi everybody, Hi Allen, how are you? It's 180 00:11:18,440 --> 00:11:20,800 Speaker 1: nice to be here on such a Great Day for 181 00:11:21,000 --> 00:11:30,440 Speaker 1: science A. Tina was supposed to be interviewing me about 182 00:11:30,440 --> 00:11:34,920 Speaker 1: my new book, but like many interviews, many many good interviews, 183 00:11:34,920 --> 00:11:37,560 Speaker 1: it turned out to be just a conversation between the 184 00:11:37,600 --> 00:11:40,480 Speaker 1: two of us. I think one of the key attributes 185 00:11:40,520 --> 00:11:44,440 Speaker 1: of good communication is people paying attention to each other. 186 00:11:44,880 --> 00:11:48,200 Speaker 1: But I mean really paying attention, really listening, not just 187 00:11:48,320 --> 00:11:52,600 Speaker 1: having dueling monologues. I'm kind of fascinated by the idea 188 00:11:52,679 --> 00:11:55,959 Speaker 1: that a fundamental tool used by actors, a kind of 189 00:11:56,000 --> 00:11:59,480 Speaker 1: deep listening, can be used by anyone. The way I 190 00:11:59,600 --> 00:12:03,880 Speaker 1: learned to was by studying improvisation, and although anyone can 191 00:12:03,920 --> 00:12:06,640 Speaker 1: apply these principles, it's always fun to run into someone 192 00:12:06,679 --> 00:12:09,200 Speaker 1: who learned it the way I did. It turns out 193 00:12:09,200 --> 00:12:11,840 Speaker 1: that Tinea Fa and I both began our careers in 194 00:12:11,880 --> 00:12:15,360 Speaker 1: the field of improvisation, and in fact with the same company, 195 00:12:15,440 --> 00:12:18,800 Speaker 1: the Second City. Tina worked in the Chicago company of 196 00:12:18,840 --> 00:12:21,760 Speaker 1: Second City and I worked in the New York company, 197 00:12:21,880 --> 00:12:24,400 Speaker 1: and we were both trained in improvisation by the great 198 00:12:24,480 --> 00:12:28,240 Speaker 1: Violas Boland. But Viola's improv training was not to teach 199 00:12:28,320 --> 00:12:31,959 Speaker 1: us how to be funny. Instead, it was all about 200 00:12:32,000 --> 00:12:35,720 Speaker 1: relating and connecting, which, of course is the subject of 201 00:12:35,760 --> 00:12:40,160 Speaker 1: these podcasts. At one point in our conversation, I told 202 00:12:40,200 --> 00:12:44,040 Speaker 1: Tina what a profound effect Violas Boland's improv training had 203 00:12:44,120 --> 00:12:46,680 Speaker 1: had on me, and not just as an actor, but 204 00:12:46,760 --> 00:12:49,920 Speaker 1: in my whole life, and I wondered if she'd felt 205 00:12:49,920 --> 00:12:53,280 Speaker 1: the same way I did. I felt that it was 206 00:12:53,720 --> 00:12:58,479 Speaker 1: completely transformatively. The one of the core ideas in improvisation 207 00:12:58,600 --> 00:13:01,840 Speaker 1: is is to agree to say yes, and right to 208 00:13:01,920 --> 00:13:04,920 Speaker 1: agree is the yes, and then the and is to 209 00:13:05,080 --> 00:13:08,440 Speaker 1: contribute something of your own. And it's something that once 210 00:13:08,480 --> 00:13:10,480 Speaker 1: you get in the habit of doing it as an improviser, 211 00:13:10,559 --> 00:13:12,240 Speaker 1: I don't know if you find the same thing that 212 00:13:12,800 --> 00:13:15,079 Speaker 1: it's just the way you think about things. And if 213 00:13:15,120 --> 00:13:17,080 Speaker 1: you meet someone in in a work situation or someone 214 00:13:17,120 --> 00:13:20,079 Speaker 1: who who's starting from a place of no, like, well, 215 00:13:20,080 --> 00:13:21,360 Speaker 1: I don't think we're going to be able to do 216 00:13:21,400 --> 00:13:23,880 Speaker 1: that right, You're just like, oh, why would you? Why 217 00:13:23,880 --> 00:13:28,120 Speaker 1: would you start there? So I feel like it really sticks. 218 00:13:28,240 --> 00:13:30,600 Speaker 1: Did you feel the same, Oh? Very much so. Except 219 00:13:30,600 --> 00:13:32,400 Speaker 1: once in a while I think about this and I'm 220 00:13:32,760 --> 00:13:36,839 Speaker 1: I yes, and comes to mind often when I'm talking 221 00:13:36,840 --> 00:13:39,880 Speaker 1: to somebody. But if I'm talking to somebody who's saying 222 00:13:39,920 --> 00:13:44,480 Speaker 1: to me, you know, I was wearing my tinfoil hat 223 00:13:46,040 --> 00:13:49,920 Speaker 1: and it really helps. I want to be able to 224 00:13:49,920 --> 00:13:52,600 Speaker 1: say yes, and then I want to say and you're 225 00:13:52,720 --> 00:13:59,040 Speaker 1: completely crazy yes, and he's like yes and goodbye? Yes, 226 00:13:59,120 --> 00:14:02,200 Speaker 1: and oh come is my bus? Yeah, it's my bus 227 00:14:02,200 --> 00:14:05,880 Speaker 1: and we're not even on the street corn, So what 228 00:14:07,200 --> 00:14:09,120 Speaker 1: how do you handle that? Well? How do you? How 229 00:14:09,120 --> 00:14:12,520 Speaker 1: do you? What do you say yes too? I'm trying 230 00:14:12,559 --> 00:14:15,520 Speaker 1: to think of examples that, you know, for people are working, 231 00:14:15,760 --> 00:14:19,120 Speaker 1: Mostly it's sort of a production question where they'll say like, oh, 232 00:14:19,120 --> 00:14:21,520 Speaker 1: we couldn't possibly you know, we like your idea, but 233 00:14:21,560 --> 00:14:24,120 Speaker 1: we couldn't possibly get that done in time, and this 234 00:14:24,200 --> 00:14:25,880 Speaker 1: is not and it was to pause and say, well, 235 00:14:25,880 --> 00:14:28,800 Speaker 1: what if we let's just take a minute, and what 236 00:14:28,880 --> 00:14:31,040 Speaker 1: if we did that? You know, you just open your 237 00:14:31,040 --> 00:14:35,360 Speaker 1: mind up to being able to get things done. I 238 00:14:35,400 --> 00:14:38,240 Speaker 1: guess I guess it's possible to agree with some underlying 239 00:14:38,320 --> 00:14:42,400 Speaker 1: premise to like, yes, that's right, we gotta worry about time. 240 00:14:42,480 --> 00:14:45,320 Speaker 1: That's that's so important. Yes, how about if we do 241 00:14:45,400 --> 00:14:48,480 Speaker 1: this that we should save some time? Right right? Trying 242 00:14:48,480 --> 00:14:51,840 Speaker 1: to to to be to and to add because in 243 00:14:51,960 --> 00:14:54,760 Speaker 1: so many of us, and I hear myself saying I go, 244 00:14:54,920 --> 00:14:58,200 Speaker 1: I get the yes part, and then I say, but yes, 245 00:14:59,000 --> 00:15:04,720 Speaker 1: And that's a good substitute for no. Tina asked me 246 00:15:04,760 --> 00:15:06,720 Speaker 1: about the work we do with the Older Center for 247 00:15:06,800 --> 00:15:10,720 Speaker 1: Communicating Science, because improv is a key part of how 248 00:15:10,760 --> 00:15:13,600 Speaker 1: we trained scientists to talk to the rest of us 249 00:15:13,640 --> 00:15:17,200 Speaker 1: clearly and vividly. By now, the team at the Older 250 00:15:17,280 --> 00:15:24,920 Speaker 1: Center has trained over twelve thousand scientists. Have any of 251 00:15:24,960 --> 00:15:28,400 Speaker 1: the scientists left their careers to pursue improv full time? 252 00:15:29,680 --> 00:15:32,840 Speaker 1: You know our in our first in our first group, yes, 253 00:15:32,920 --> 00:15:38,160 Speaker 1: we had somebody, but he doesn't do it full time. 254 00:15:38,200 --> 00:15:40,560 Speaker 1: And I know a scientist in Israel who is a 255 00:15:40,720 --> 00:15:44,800 Speaker 1: great uh computer biologist what do you call it? Computational 256 00:15:44,920 --> 00:15:51,880 Speaker 1: biologists who improvises? What is a computational biologist? You stick 257 00:15:51,880 --> 00:15:53,640 Speaker 1: your hand in the computer, it tells you what's wrong, 258 00:15:56,840 --> 00:15:59,080 Speaker 1: something like that. I don't know. I didn't want to 259 00:15:59,120 --> 00:16:01,240 Speaker 1: show off, but I did sort of know that a 260 00:16:01,320 --> 00:16:07,760 Speaker 1: computational biologist uses computer algorithms to find patterns in biological systems. 261 00:16:07,800 --> 00:16:09,680 Speaker 1: But I wanted to get back to how my friend 262 00:16:09,680 --> 00:16:14,000 Speaker 1: the Israeli science is uses improv to help his team communicate. 263 00:16:14,440 --> 00:16:19,400 Speaker 1: So he improvises with an improvising troop every week, and 264 00:16:19,440 --> 00:16:23,680 Speaker 1: he uses improvising techniques to keep his team in the 265 00:16:23,840 --> 00:16:27,720 Speaker 1: in the lab, doing good teamwork and and helping them 266 00:16:27,720 --> 00:16:30,920 Speaker 1: motivate themselves. It's he uses improv the same way we 267 00:16:31,000 --> 00:16:34,440 Speaker 1: teach scientists to do it in our in our courses. Yeah, 268 00:16:34,720 --> 00:16:38,080 Speaker 1: you know, I I believe improv can really work miracles. 269 00:16:38,120 --> 00:16:41,520 Speaker 1: It can connect people who cannot connect in any other way. 270 00:16:41,880 --> 00:16:44,720 Speaker 1: It uh, it keeps you tethered, It keeps you present, 271 00:16:45,000 --> 00:16:48,520 Speaker 1: and at a time when it's very increasingly difficult for 272 00:16:48,640 --> 00:16:51,960 Speaker 1: us all to be present with each other. Um So, 273 00:16:52,080 --> 00:16:55,640 Speaker 1: I think, my god, you're so smart to to figure 274 00:16:55,680 --> 00:16:58,320 Speaker 1: out that it came out of me. You know. It's 275 00:16:58,440 --> 00:17:01,000 Speaker 1: it's the process of improv is nation. What comes to 276 00:17:01,040 --> 00:17:03,200 Speaker 1: the surface is going to be good no matter what 277 00:17:03,320 --> 00:17:06,320 Speaker 1: it is. And if it turns out to really land 278 00:17:06,400 --> 00:17:09,119 Speaker 1: on people and you realize you're doing something, value will 279 00:17:09,160 --> 00:17:11,840 Speaker 1: when you do more of it. Yeah, that's all it is. 280 00:17:11,880 --> 00:17:15,800 Speaker 1: It's just following my nose. I had had to have 281 00:17:15,840 --> 00:17:18,080 Speaker 1: a daughter who when she was eight, she used to say, 282 00:17:18,680 --> 00:17:20,920 Speaker 1: I would say, I'm cold. My nose is so called 283 00:17:20,960 --> 00:17:23,280 Speaker 1: just sure your nose is cold. The circulation can't get 284 00:17:23,280 --> 00:17:27,000 Speaker 1: out that far. Don't you love it when kids are smart? 285 00:17:27,040 --> 00:17:31,280 Speaker 1: And why you like that? Yeah, it's not so long 286 00:17:31,520 --> 00:17:34,840 Speaker 1: you you you have an eleven year old, have an 287 00:17:34,840 --> 00:17:36,520 Speaker 1: eleven year old and a five year old to daughter, 288 00:17:36,560 --> 00:17:39,359 Speaker 1: and the eleven year old is doing something. Yes, I 289 00:17:39,720 --> 00:17:42,520 Speaker 1: tried to actually was applying a technique from Olen's book 290 00:17:42,600 --> 00:17:45,359 Speaker 1: last night on my eleven year old because she has 291 00:17:45,400 --> 00:17:50,440 Speaker 1: a very very large and serious presentation tomorrow about Finland 292 00:17:53,119 --> 00:17:56,080 Speaker 1: and I you would think she was trying to pass 293 00:17:56,160 --> 00:17:59,399 Speaker 1: the bar tomorrow, and so she has given eight minute 294 00:17:59,400 --> 00:18:03,000 Speaker 1: presentation in and so she she didn't want to do 295 00:18:03,040 --> 00:18:05,040 Speaker 1: it for us again. So anyway, so we we used 296 00:18:05,040 --> 00:18:06,880 Speaker 1: the technique in the book and asked her to give 297 00:18:06,960 --> 00:18:10,000 Speaker 1: us the presentation in gibberish, but for us to try 298 00:18:10,080 --> 00:18:13,679 Speaker 1: to still understand it. You know what gibberish is, right, 299 00:18:13,720 --> 00:18:16,720 Speaker 1: It sounds like a real language, but it's total nonsense. 300 00:18:23,040 --> 00:18:25,600 Speaker 1: I guess most people know what gibberish is, but I 301 00:18:25,640 --> 00:18:28,920 Speaker 1: wanted to make sure the audience understood how we use 302 00:18:28,960 --> 00:18:33,159 Speaker 1: it in improv Gibberish helps you use your whole body. 303 00:18:33,400 --> 00:18:36,560 Speaker 1: It gets it gets you out of the thing where 304 00:18:36,600 --> 00:18:39,920 Speaker 1: you you communicate. You feel so many of us think 305 00:18:39,960 --> 00:18:44,439 Speaker 1: that communication is getting the message right and saying the 306 00:18:44,480 --> 00:18:48,800 Speaker 1: exact right words and somehow that communicates what we want 307 00:18:48,800 --> 00:18:51,719 Speaker 1: to communter. In fact, it's everything. It's the tone of voice, 308 00:18:52,119 --> 00:18:55,720 Speaker 1: it's the look on our face, it's the body language 309 00:18:55,760 --> 00:18:59,600 Speaker 1: we use. All of that is really contributing an enormous 310 00:18:59,600 --> 00:19:03,000 Speaker 1: amount to what we're communicating and it can help the 311 00:19:03,040 --> 00:19:07,160 Speaker 1: people get it better. So what you want to do 312 00:19:07,240 --> 00:19:10,920 Speaker 1: a little like, well, we could do a little scene 313 00:19:11,320 --> 00:19:13,800 Speaker 1: and and do it in gibberish and make it a game, 314 00:19:13,800 --> 00:19:15,919 Speaker 1: because usually these are all in the form of games, 315 00:19:16,480 --> 00:19:19,439 Speaker 1: and you all could try to figure out what the 316 00:19:19,520 --> 00:19:24,119 Speaker 1: situation is, Well, who are these two people and what 317 00:19:24,320 --> 00:19:27,000 Speaker 1: what's happening between them? You may never get It depends 318 00:19:27,000 --> 00:19:28,800 Speaker 1: on how lucky we are. This is what we said 319 00:19:28,800 --> 00:19:32,399 Speaker 1: that we're going to do, right, Yeah, this is we have, 320 00:19:32,480 --> 00:19:36,040 Speaker 1: like our relationship and a situation which we have not rehearsed. 321 00:19:42,640 --> 00:19:50,159 Speaker 1: Because what did you get, George, Nick, you and your 322 00:19:50,160 --> 00:19:56,240 Speaker 1: border into the audience is having a little trouble figuring 323 00:19:56,240 --> 00:19:59,720 Speaker 1: out what our relationship is because we're basically just standing 324 00:19:59,760 --> 00:20:05,200 Speaker 1: there talking at each other. Our tone of voice isn't 325 00:20:05,240 --> 00:20:09,040 Speaker 1: yet communicating what's under the gibberish, and neither is our 326 00:20:09,080 --> 00:20:14,080 Speaker 1: body language. I just need. I seem to be imploring 327 00:20:14,160 --> 00:20:19,639 Speaker 1: her to do something, but it's not clear what the 328 00:20:19,920 --> 00:20:25,760 Speaker 1: list listen to delosophy. Finally, Tina follows a basic rule 329 00:20:25,840 --> 00:20:30,640 Speaker 1: in improv. When you're stuck, go to the place. Use 330 00:20:30,720 --> 00:20:35,639 Speaker 1: the place what violas Boland calls the where. So Tina 331 00:20:35,760 --> 00:20:38,480 Speaker 1: crosses the stage and does something with what seems to 332 00:20:38,520 --> 00:20:41,080 Speaker 1: be some sort of equipment, but I can't tell what 333 00:20:41,160 --> 00:20:44,120 Speaker 1: it is because her back is to me. I'm watching 334 00:20:44,119 --> 00:20:47,680 Speaker 1: her carefully, and I see her arms moving. I'm trying 335 00:20:47,720 --> 00:20:50,320 Speaker 1: to get as much information by observing as I can. 336 00:20:51,560 --> 00:20:54,439 Speaker 1: She comes back and she holds out her arms as 337 00:20:54,480 --> 00:20:58,840 Speaker 1: if to dance with me. I think she's been turning 338 00:20:58,880 --> 00:21:03,800 Speaker 1: on a record player over there, and now we're dancing. Yeah, 339 00:21:08,520 --> 00:21:25,399 Speaker 1: Blue Corret, you were for now. We were pretty Russian. 340 00:21:25,480 --> 00:21:30,119 Speaker 1: Our our show brush is pretty never know what you 341 00:21:30,160 --> 00:21:33,120 Speaker 1: never know? Where was any idea what was going on there? 342 00:21:33,200 --> 00:21:36,240 Speaker 1: Did anyone have any idea who those two people were 343 00:21:36,400 --> 00:21:43,280 Speaker 1: to each other, what their relationship might have been? An 344 00:21:43,280 --> 00:21:48,320 Speaker 1: old man whipped dementia. I think that was no, not 345 00:21:48,359 --> 00:21:58,560 Speaker 1: at all, man, But just keep guessing, neighbors. I want 346 00:21:58,560 --> 00:22:08,800 Speaker 1: to go to date teacher. Yes, it was the teacher right, Yes, yes, 347 00:22:09,640 --> 00:22:11,639 Speaker 1: wants to go on a date with the students. Was 348 00:22:11,680 --> 00:22:16,280 Speaker 1: asking the teacher to go to prom good see. Yeah, 349 00:22:16,480 --> 00:22:19,320 Speaker 1: But what's what's fun about this? Regardless of how many 350 00:22:19,359 --> 00:22:22,320 Speaker 1: people we conveyed to, what's fun is it was a 351 00:22:22,440 --> 00:22:25,200 Speaker 1: very hard thing to do. So we had to find 352 00:22:25,240 --> 00:22:29,399 Speaker 1: ways to physicalize it, to communicate it not only to 353 00:22:29,600 --> 00:22:32,359 Speaker 1: you watching, but to each other so we could move 354 00:22:32,520 --> 00:22:35,880 Speaker 1: through this encounter that we didn't know where it came 355 00:22:35,880 --> 00:22:38,359 Speaker 1: from or where it would go. That was a pretty 356 00:22:38,359 --> 00:22:40,639 Speaker 1: hard one. I never did one that hard. That was 357 00:22:40,680 --> 00:22:50,120 Speaker 1: a It was a very specific relationship. Sometimes when we're 358 00:22:50,119 --> 00:22:53,600 Speaker 1: trying to communicate something difficult, we seem to be speaking 359 00:22:53,720 --> 00:22:57,240 Speaker 1: gibberish without even knowing it. That's when we're using some 360 00:22:57,400 --> 00:23:01,720 Speaker 1: incomprehensible jargon. We started to talk about that and then 361 00:23:01,800 --> 00:23:04,879 Speaker 1: drifted away, but Tina brought us back. Let's talk some 362 00:23:04,920 --> 00:23:08,600 Speaker 1: more about jargon. Yeah, and how do you believe it 363 00:23:08,680 --> 00:23:12,480 Speaker 1: to be a curse? In some ways, every day you 364 00:23:12,560 --> 00:23:15,520 Speaker 1: run across some kind of jargon, and it makes sense 365 00:23:15,520 --> 00:23:18,359 Speaker 1: because if it takes five pages to say something you 366 00:23:18,400 --> 00:23:20,919 Speaker 1: can say in one word, then it makes sense to 367 00:23:21,000 --> 00:23:23,080 Speaker 1: use that word as long as you're talking to somebody 368 00:23:23,080 --> 00:23:32,280 Speaker 1: who knows what the word means. Yeah, well, thank goodness, 369 00:23:32,400 --> 00:23:35,520 Speaker 1: there's a small group of people who know what that means. 370 00:23:36,600 --> 00:23:44,560 Speaker 1: There is scuse. I was like, wow, you go into 371 00:23:44,560 --> 00:23:46,840 Speaker 1: the mat on that one. Do you? How do you 372 00:23:46,920 --> 00:23:54,120 Speaker 1: do when you hear scientific jargon? Do terribly? I am? 373 00:23:54,160 --> 00:23:56,760 Speaker 1: I wouldn't. I am do not think of myself as 374 00:23:56,760 --> 00:23:59,679 Speaker 1: a science person. I try not to even say that 375 00:23:59,720 --> 00:24:02,320 Speaker 1: out loud around my daughters because they like science and 376 00:24:02,320 --> 00:24:04,960 Speaker 1: I want them to continue. I take a science took 377 00:24:05,200 --> 00:24:07,639 Speaker 1: a science class with both of my daughters. It's like 378 00:24:07,880 --> 00:24:12,080 Speaker 1: across the street at the Natural History and I'm I'm 379 00:24:12,119 --> 00:24:14,280 Speaker 1: always wrong, I'm always answering in my head, and I'm 380 00:24:14,280 --> 00:24:20,160 Speaker 1: like Arthur pot Now I'm terrible with her, like I'm 381 00:24:20,160 --> 00:24:23,600 Speaker 1: the Converson. I can't memorize the names of flowers. Oh, 382 00:24:23,640 --> 00:24:26,040 Speaker 1: I'm bad at that too. Wife Arlene is so good 383 00:24:26,080 --> 00:24:29,639 Speaker 1: at that. So I make up names. Wow, look at 384 00:24:29,640 --> 00:24:34,720 Speaker 1: that great hydrofloxy. She knows I don't know anything, and 385 00:24:34,760 --> 00:24:40,359 Speaker 1: she just laughs at me. When we come back after 386 00:24:40,440 --> 00:24:43,119 Speaker 1: the break, Tina and I have a little surprise for 387 00:24:43,200 --> 00:24:46,800 Speaker 1: the audience. It's a special guest. I invite up from 388 00:24:46,800 --> 00:24:50,720 Speaker 1: the front growth Brian Green, the well known physicist and 389 00:24:50,800 --> 00:24:54,200 Speaker 1: best settling author. We're going to put him to a test. 390 00:24:55,040 --> 00:24:57,040 Speaker 1: We're going to see if he can explain some pretty 391 00:24:57,119 --> 00:25:02,320 Speaker 1: tough physics to Tina without ever lapsing into jargon and 392 00:25:02,400 --> 00:25:05,359 Speaker 1: the catches. Tina is going to have to actually know 393 00:25:05,400 --> 00:25:19,120 Speaker 1: what he's talking about. This was fun. Stay tuned, you're 394 00:25:19,119 --> 00:25:22,040 Speaker 1: listening to clear and Vivid and now back to my 395 00:25:22,119 --> 00:25:27,480 Speaker 1: conversation with Tina Faye. I bet if we worked on it, 396 00:25:28,840 --> 00:25:31,879 Speaker 1: If we worked on this, we could get somebody to 397 00:25:32,040 --> 00:25:35,200 Speaker 1: help you understand something really complicated. You could try. I 398 00:25:35,240 --> 00:25:37,639 Speaker 1: would be a really of a tough customer on it, 399 00:25:37,680 --> 00:25:39,480 Speaker 1: because I'm well be as tough as you tell me. 400 00:25:39,560 --> 00:25:42,560 Speaker 1: I'm gonna just pick somebody who looks like a scientist 401 00:25:42,560 --> 00:25:50,359 Speaker 1: and you look at you. Are you as scientist? Would 402 00:25:50,400 --> 00:26:02,960 Speaker 1: you help us? Yeah? Now we've never met before. This 403 00:26:03,119 --> 00:26:06,879 Speaker 1: is the great Brian Green. As you won't hello Brian 404 00:26:07,480 --> 00:26:12,800 Speaker 1: to have a sheet? Let me hello? So do you 405 00:26:12,840 --> 00:26:15,080 Speaker 1: want to you want to get a topic maybe from 406 00:26:15,119 --> 00:26:17,639 Speaker 1: the audience brain that anybody. What are we gonna do 407 00:26:17,680 --> 00:26:21,959 Speaker 1: with the topic? You're going to explain something complicated to Tina, 408 00:26:22,640 --> 00:26:27,159 Speaker 1: and Tina has a buzzer here, and anything she doesn't understand, 409 00:26:28,640 --> 00:26:31,439 Speaker 1: she'll just she'll buzz you if she's not following. Remember 410 00:26:31,480 --> 00:26:33,000 Speaker 1: we said the whole point is to help the other 411 00:26:33,000 --> 00:26:35,360 Speaker 1: person follow you, So if she's not following you, she'll 412 00:26:35,480 --> 00:26:37,080 Speaker 1: let you know. You won't even have to read it 413 00:26:37,119 --> 00:26:44,640 Speaker 1: on her face. Should I test this? Okay, fantastic. Yeah, 414 00:26:44,680 --> 00:26:49,440 Speaker 1: we can throw out some some topics. Yeah, a strength here. 415 00:26:49,480 --> 00:26:51,400 Speaker 1: I heard stringth here. Let's do that. I never never 416 00:26:51,440 --> 00:26:57,280 Speaker 1: explained that before, Like good one string theory. String theory, yes, 417 00:27:01,240 --> 00:27:06,560 Speaker 1: all right, so string theory, it's um our attempt to 418 00:27:06,840 --> 00:27:10,679 Speaker 1: unify the general theory of relativity and quantum mechanics in 419 00:27:10,720 --> 00:27:15,720 Speaker 1: a way I don't know anything. So so let's start 420 00:27:15,720 --> 00:27:20,000 Speaker 1: with general relativity. That's a theory of the force of gravity. 421 00:27:21,200 --> 00:27:25,240 Speaker 1: We got on gravity. Quantum mechanics is a theory of 422 00:27:29,040 --> 00:27:38,360 Speaker 1: matters very small scales, how the particles interact behave evolve 423 00:27:38,720 --> 00:27:44,680 Speaker 1: by the Shordinger equation. We don't need the shorten your equation. 424 00:27:45,000 --> 00:27:47,560 Speaker 1: So so our goal is to be able to have 425 00:27:47,640 --> 00:27:50,760 Speaker 1: a single theory that can put together the laws of 426 00:27:50,800 --> 00:27:54,480 Speaker 1: gravity and the laws of quantum physics. So we have 427 00:27:54,560 --> 00:27:59,080 Speaker 1: one unified mathematical description of everything in the physical universe. Oh, 428 00:27:59,119 --> 00:28:03,359 Speaker 1: that's pretty good. You got it. You got it, You 429 00:28:03,359 --> 00:28:06,240 Speaker 1: think you got it? You want it back? Yeah, tell 430 00:28:06,320 --> 00:28:14,360 Speaker 1: us string theory is your attempting to unify that's your word, uh, 431 00:28:14,520 --> 00:28:18,880 Speaker 1: the theory of relativity and quantum physics that we said 432 00:28:18,960 --> 00:28:21,280 Speaker 1: so that you can use you can have one sort 433 00:28:21,280 --> 00:28:24,840 Speaker 1: of language to describe all of it. Wha, that's pretty good. 434 00:28:24,920 --> 00:28:26,680 Speaker 1: That's pretty good. All right. Do you want to do 435 00:28:26,760 --> 00:28:31,600 Speaker 1: another one to a harder one, harder than harder than that? 436 00:28:31,640 --> 00:28:38,040 Speaker 1: You want something harder than that, computational bioglogy. Yeah, I'll 437 00:28:38,080 --> 00:28:40,240 Speaker 1: let you do that one, Alan, Yeah, I already covered 438 00:28:40,280 --> 00:28:42,560 Speaker 1: These are like really easy ones. Should try. All right, 439 00:28:42,640 --> 00:28:47,320 Speaker 1: let's do it. So. Um, the universe is usually thought 440 00:28:47,360 --> 00:28:50,880 Speaker 1: to be all that there is, but there's a possibility 441 00:28:51,000 --> 00:28:53,800 Speaker 1: that what we long thought was all there is might 442 00:28:53,880 --> 00:28:57,200 Speaker 1: actually be a small part of much grander landscape of reality, 443 00:28:57,320 --> 00:29:00,000 Speaker 1: populated by other realms that would be rightly called universe 444 00:29:00,200 --> 00:29:02,720 Speaker 1: is of their own and the grand collection we would 445 00:29:02,720 --> 00:29:08,239 Speaker 1: call the multiverse like that one, alright on, we need 446 00:29:08,280 --> 00:29:13,600 Speaker 1: a harder one, dark energy. You want to do dark energy? 447 00:29:14,000 --> 00:29:17,920 Speaker 1: Dark energy? All right? So for a long time we 448 00:29:18,000 --> 00:29:20,640 Speaker 1: thought we knew what the universe was made of, things 449 00:29:20,720 --> 00:29:29,400 Speaker 1: like particles, electrons, corks, neutrinos, you heard of these things. 450 00:29:29,440 --> 00:29:34,800 Speaker 1: So these are little tiny particles of matter that we 451 00:29:34,880 --> 00:29:38,880 Speaker 1: believe may not be made up of anything more fine. 452 00:29:38,920 --> 00:29:41,360 Speaker 1: They may be the fundamental ingredients oude of which everything 453 00:29:41,400 --> 00:29:43,720 Speaker 1: is made. It's little tiny things, and we thought that 454 00:29:43,720 --> 00:29:46,680 Speaker 1: that was what the universe was made of. But we've 455 00:29:46,720 --> 00:29:50,440 Speaker 1: now learned that there is this energy suffusing space, which 456 00:29:50,440 --> 00:29:54,640 Speaker 1: when you put into Einstein's we believe that there is 457 00:29:54,880 --> 00:30:00,760 Speaker 1: this substance that is everywhere in the universe, every nook 458 00:30:00,800 --> 00:30:04,280 Speaker 1: and cranny of the universe. And when this energy is 459 00:30:04,280 --> 00:30:11,240 Speaker 1: in Einstein's general theory of relativity, when this energy is 460 00:30:11,280 --> 00:30:14,880 Speaker 1: put into our equations of how gravity works, we find 461 00:30:14,920 --> 00:30:18,440 Speaker 1: that this energy gives rise to a repulsive version of 462 00:30:18,480 --> 00:30:23,480 Speaker 1: gravity that makes up the bulk of the universe. That's 463 00:30:23,520 --> 00:30:27,120 Speaker 1: giving rise to a negative pressure that yields a negative 464 00:30:27,160 --> 00:30:30,920 Speaker 1: gravity that pushes everything apart, making the expansion of space. 465 00:30:31,200 --> 00:30:35,920 Speaker 1: Found why Edwin hobble in making the expansion of space 466 00:30:36,280 --> 00:30:39,600 Speaker 1: speed up, driving everything in the universe apart of an 467 00:30:39,640 --> 00:30:51,120 Speaker 1: ever quickening pace. No, I can't do that. Okay, so 468 00:30:51,440 --> 00:30:53,480 Speaker 1: you started like Chinese food, you got it for a moment. 469 00:30:53,520 --> 00:30:57,760 Speaker 1: Then let me let me say that, and I think 470 00:30:57,760 --> 00:31:02,000 Speaker 1: you'll agree with this. That who haven't taught China everything 471 00:31:02,040 --> 00:31:05,680 Speaker 1: there is to know about it, we're done. We're done 472 00:31:06,480 --> 00:31:08,800 Speaker 1: for her to be able to do work in this, 473 00:31:08,960 --> 00:31:11,080 Speaker 1: to understand it at a deeper level, she would have 474 00:31:11,160 --> 00:31:14,480 Speaker 1: to learn the mathematics. She'd have to really work hard 475 00:31:14,520 --> 00:31:17,800 Speaker 1: at it. But you may have told her enough for 476 00:31:17,920 --> 00:31:21,200 Speaker 1: Tina to be interested to know more. And when we 477 00:31:21,440 --> 00:31:24,840 Speaker 1: make things clear to the public, that's what I hope 478 00:31:24,880 --> 00:31:27,360 Speaker 1: for first, that they want to know more. I don't 479 00:31:27,360 --> 00:31:30,160 Speaker 1: know you might have right, I mean, you know, you know, 480 00:31:30,280 --> 00:31:33,360 Speaker 1: jargon gets a very bad rap. It's vital for us 481 00:31:33,400 --> 00:31:36,080 Speaker 1: scientists to have a shorthand, and that's why we use it. 482 00:31:36,120 --> 00:31:39,040 Speaker 1: We don't do it to have funny sounding words. We 483 00:31:39,080 --> 00:31:42,120 Speaker 1: can communicate everything that we just spoke about here in 484 00:31:42,200 --> 00:31:45,120 Speaker 1: one tenth of the time with ten times the accuracy 485 00:31:45,400 --> 00:31:47,520 Speaker 1: if we make use of the actual jargon and ideas. 486 00:31:47,560 --> 00:31:49,920 Speaker 1: But of course, when you're talking to the general public 487 00:31:50,040 --> 00:31:51,840 Speaker 1: who's not going to go to graduate school, you want to, 488 00:31:51,920 --> 00:31:54,280 Speaker 1: like you say, excite them about these ideas. So hopefully 489 00:31:54,280 --> 00:31:55,920 Speaker 1: you can do it in a way that gets the 490 00:31:56,080 --> 00:31:59,920 Speaker 1: essence across. Thank you so much for helping. Thank you. 491 00:32:00,040 --> 00:32:07,600 Speaker 1: I angry. Towards the end of our conversation, Tina and 492 00:32:07,640 --> 00:32:10,200 Speaker 1: I realized we shared a trait that you might not 493 00:32:10,320 --> 00:32:14,480 Speaker 1: expect performers to have. We realized we were both shy. 494 00:32:14,800 --> 00:32:17,320 Speaker 1: I was a shy kid, but here I could on stage, 495 00:32:17,360 --> 00:32:19,600 Speaker 1: I could be in command. That makes sense. A lot 496 00:32:19,640 --> 00:32:22,160 Speaker 1: of people, a lot of people in comedy I know, 497 00:32:22,200 --> 00:32:25,960 Speaker 1: are very shy. Are you shy? Very shy? I am? Yeah, 498 00:32:26,320 --> 00:32:28,920 Speaker 1: me too. I have I have a lot of social anxiety. 499 00:32:29,080 --> 00:32:32,000 Speaker 1: Someone from the audience had a question for us, what 500 00:32:32,040 --> 00:32:34,920 Speaker 1: can you do about that? How can you turn making 501 00:32:34,920 --> 00:32:37,880 Speaker 1: a toast at a wedding, or making a presentation at work, 502 00:32:38,080 --> 00:32:42,320 Speaker 1: or any kind of public speaking into a pleasure instead 503 00:32:42,360 --> 00:32:46,680 Speaker 1: of an invitation to an anxiety attack. One aha moment 504 00:32:46,800 --> 00:32:48,680 Speaker 1: that I can think first thing I thought of as 505 00:32:48,720 --> 00:32:54,040 Speaker 1: a happened during improvisation was on stage years ago at 506 00:32:54,040 --> 00:32:57,160 Speaker 1: the Second City. I was in an improv set where 507 00:32:57,440 --> 00:32:59,600 Speaker 1: we would take suggestions from the audience and improvised for 508 00:32:59,800 --> 00:33:02,240 Speaker 1: the any minutes different things. And I was in a 509 00:33:02,360 --> 00:33:05,800 Speaker 1: scene with my friend Rachel Dress and my friends got out, said, 510 00:33:05,880 --> 00:33:10,000 Speaker 1: and it was going so badly. It was we were 511 00:33:10,200 --> 00:33:15,720 Speaker 1: just bombing so hard. And I remember looking deeply into 512 00:33:15,840 --> 00:33:19,400 Speaker 1: Rachel's eyes, and she was she would clutch me what 513 00:33:19,520 --> 00:33:22,600 Speaker 1: we called her mouse paw, her tiny little hands clutching, 514 00:33:23,400 --> 00:33:25,400 Speaker 1: and we were continuing the scene. But there was a 515 00:33:25,440 --> 00:33:29,440 Speaker 1: whole other level of communication of like, dear God, we 516 00:33:29,440 --> 00:33:33,680 Speaker 1: were bombing, and the realization for me was that my 517 00:33:33,760 --> 00:33:37,640 Speaker 1: greatest fear was being realized. We were sweating bombing. It 518 00:33:37,720 --> 00:33:41,280 Speaker 1: was going terribly and the realization was that after it 519 00:33:41,360 --> 00:33:45,880 Speaker 1: was over, we were still alive and we would live 520 00:33:46,000 --> 00:33:48,240 Speaker 1: to fight again another day. And so for me, it's 521 00:33:48,280 --> 00:33:50,840 Speaker 1: the thing of taking the my what is my greatest fear? 522 00:33:50,920 --> 00:33:53,840 Speaker 1: What what am I so nervous? Will happen that everyone 523 00:33:53,880 --> 00:33:56,600 Speaker 1: will boo or no one will paytation like that, Even 524 00:33:56,640 --> 00:34:00,320 Speaker 1: if that happens, You're fine, You will be mine. So 525 00:34:00,360 --> 00:34:03,080 Speaker 1: if that helps you at all, if your public speaking, 526 00:34:03,280 --> 00:34:06,960 Speaker 1: do you find that that helps you in life too? Yeah? 527 00:34:07,040 --> 00:34:08,400 Speaker 1: I think, you know, I think one of the biggest 528 00:34:08,440 --> 00:34:11,759 Speaker 1: things you get out of improvisation work is, uh, you 529 00:34:11,840 --> 00:34:14,920 Speaker 1: abandon a fear of embarrassment. And you know, my friend 530 00:34:14,960 --> 00:34:17,600 Speaker 1: Amy Poehler talks a lot about She talks a lot 531 00:34:17,640 --> 00:34:23,799 Speaker 1: about UH having the courage to kind of break the 532 00:34:23,880 --> 00:34:26,520 Speaker 1: social protocol, which is something that none of us have. 533 00:34:26,719 --> 00:34:29,879 Speaker 1: You have to be not afraid of embarrassment to say 534 00:34:29,920 --> 00:34:34,600 Speaker 1: like nope, from breaking the social rules here and saying whatever. 535 00:34:34,640 --> 00:34:37,880 Speaker 1: And so I think improvisation helps you with that stuff. 536 00:34:38,320 --> 00:34:42,960 Speaker 1: I find too, it seems allied with that that you 537 00:34:43,040 --> 00:34:46,239 Speaker 1: get more used to the idea that something from your 538 00:34:46,320 --> 00:34:48,239 Speaker 1: unconscious is going to come up and it's going to 539 00:34:48,320 --> 00:34:52,520 Speaker 1: be okay no matter what it is, Whereas without that 540 00:34:52,760 --> 00:34:55,640 Speaker 1: freedom that you get from knowing it's going to be 541 00:34:55,719 --> 00:34:58,040 Speaker 1: okay even if it's even if it's something bad that 542 00:34:58,120 --> 00:35:00,640 Speaker 1: happens there, you say something terrible, it's going to be 543 00:35:00,719 --> 00:35:04,399 Speaker 1: okay because in the long run, what difference doesn't matter, 544 00:35:04,560 --> 00:35:08,200 Speaker 1: You're still going to be there. You're just gonna be there. Yeah, 545 00:35:10,880 --> 00:35:12,799 Speaker 1: that seems like that's a good one to go out on. 546 00:35:12,880 --> 00:35:17,000 Speaker 1: I think we should be done right. I'm very happy 547 00:35:17,040 --> 00:35:21,239 Speaker 1: to hand on holding up the books that's now available. 548 00:35:21,520 --> 00:35:25,960 Speaker 1: Thank you. I had such a thing that was fun, 549 00:35:27,280 --> 00:35:30,400 Speaker 1: but we're not finished yet. We still wanted TEENA to 550 00:35:30,400 --> 00:35:33,480 Speaker 1: give us seven quick answers to our seven quick questions, 551 00:35:33,920 --> 00:35:37,360 Speaker 1: and she was kind enough to drop in on our studio. Tina, 552 00:35:37,480 --> 00:35:41,160 Speaker 1: thank you for coming back. Oh it's great because since 553 00:35:41,200 --> 00:35:43,680 Speaker 1: you and I talked, we came up with seven questions 554 00:35:43,680 --> 00:35:47,080 Speaker 1: that I asked everybody. Number one, what do you wish 555 00:35:47,120 --> 00:35:51,120 Speaker 1: you really understood? The first thing that came to my 556 00:35:51,160 --> 00:35:55,799 Speaker 1: mind was music. I wish I could read and read 557 00:35:55,920 --> 00:35:59,480 Speaker 1: music and play an instrument and sing. That's how I feel. 558 00:36:00,480 --> 00:36:02,320 Speaker 1: You're the first person to say that. What Now, what 559 00:36:02,400 --> 00:36:06,120 Speaker 1: do you wish people understood about you? It's a good 560 00:36:06,200 --> 00:36:08,440 Speaker 1: question because I feel like in some ways, I'm like 561 00:36:08,560 --> 00:36:15,520 Speaker 1: we've talked too much about me as a community. Yea less, 562 00:36:15,640 --> 00:36:21,480 Speaker 1: less understood less? All right, what what's the strangest question? 563 00:36:21,640 --> 00:36:27,600 Speaker 1: Anyone ever asked you? What's the strangest question or really 564 00:36:27,600 --> 00:36:34,839 Speaker 1: strange guy's interviewed? Let me think, I don't know. Can 565 00:36:34,880 --> 00:36:41,200 Speaker 1: I come back to that one? What's the strangest question? 566 00:36:44,400 --> 00:36:46,840 Speaker 1: It sounds like you're basically an easy going person. I 567 00:36:46,840 --> 00:36:51,480 Speaker 1: am really easy going. Nothing strikes you as odd? Yeah, 568 00:36:51,560 --> 00:36:56,479 Speaker 1: I don't. I can't. I'm stumped on that one. Maybe 569 00:36:56,560 --> 00:36:58,640 Speaker 1: something will come to me and we'll edit it and 570 00:36:58,719 --> 00:37:02,000 Speaker 1: seem like make it seems like I knew in the moment. Okay, 571 00:37:02,600 --> 00:37:08,439 Speaker 1: how do you stop a compulsive talker? Um? I asked, Well, 572 00:37:09,360 --> 00:37:12,520 Speaker 1: A kind of counterintuitive thing is to ask them questions 573 00:37:12,520 --> 00:37:17,640 Speaker 1: to try to pivot the topic right sometimes yeah, or 574 00:37:17,840 --> 00:37:22,080 Speaker 1: just you know, fake a heart attack. I find nothing works, 575 00:37:22,160 --> 00:37:25,879 Speaker 1: especially if I'm the compulsive talker. That's that's really hard. Yeah. 576 00:37:25,920 --> 00:37:30,279 Speaker 1: My dad was a big talker, and my friend Lauren 577 00:37:30,320 --> 00:37:33,440 Speaker 1: Michaels is a pretty is a pretty big talker. Um. 578 00:37:33,480 --> 00:37:36,480 Speaker 1: And sometimes you just have to write it out. Is 579 00:37:36,520 --> 00:37:44,440 Speaker 1: there anyone for whom you just can't feel empathy? I 580 00:37:44,480 --> 00:37:50,520 Speaker 1: can almost always dig deep, and at some point in 581 00:37:50,560 --> 00:37:52,319 Speaker 1: fit you can go. You can find a little bit, 582 00:37:52,360 --> 00:37:55,240 Speaker 1: but sometimes it's buried under layers and layers and layers 583 00:37:55,239 --> 00:38:01,439 Speaker 1: of anger. Um. Yeah, like a couple. There's a couple 584 00:38:01,480 --> 00:38:03,800 Speaker 1: of famous people that I don't feel a tremendous amount 585 00:38:03,840 --> 00:38:06,000 Speaker 1: of empathy. Four, But I'd probably rather not name that. 586 00:38:07,880 --> 00:38:10,640 Speaker 1: I think I got it. How do you like to 587 00:38:10,680 --> 00:38:14,600 Speaker 1: deliver bad news in person, on the phone or by 588 00:38:14,640 --> 00:38:19,240 Speaker 1: carry your pigeon? I think bad news is best delivered 589 00:38:19,239 --> 00:38:23,759 Speaker 1: in person, and that's what you like. I think that's 590 00:38:23,760 --> 00:38:28,000 Speaker 1: the right thing to do in your life. You keep 591 00:38:28,000 --> 00:38:31,080 Speaker 1: a pigeon in real life, a fleet of pigeons and 592 00:38:31,120 --> 00:38:36,600 Speaker 1: carry rats. Okay, last one, what if anything would make 593 00:38:36,640 --> 00:38:43,920 Speaker 1: you into friendship dishonesty. Well, I'm telling you the truth. 594 00:38:44,000 --> 00:38:47,480 Speaker 1: I really like you coming on. Thanks, thanks for having me. 595 00:38:48,200 --> 00:38:50,680 Speaker 1: Should I try to think of the answer to that? Okay, 596 00:38:50,880 --> 00:38:53,920 Speaker 1: what is the weirdest question? Yeah, it sounds like that 597 00:38:54,040 --> 00:39:00,560 Speaker 1: was it? What was the weirdest question? Yeah, that's trying 598 00:39:00,560 --> 00:39:02,879 Speaker 1: to think because certainly, you know, we've all done kind 599 00:39:02,880 --> 00:39:05,239 Speaker 1: of press junkets and stuff. We get a lot of 600 00:39:05,280 --> 00:39:07,480 Speaker 1: strange ones. You know, if somebody asked me, I'm not 601 00:39:07,480 --> 00:39:10,520 Speaker 1: sure I could remember the weirdest one. I just this 602 00:39:10,560 --> 00:39:11,880 Speaker 1: was just sort of a silly one. But we did 603 00:39:11,920 --> 00:39:14,640 Speaker 1: a when the movie Mean Girls came out. We came 604 00:39:14,640 --> 00:39:17,399 Speaker 1: out the same time as an Olsen Twins movie called 605 00:39:17,440 --> 00:39:20,080 Speaker 1: New York Minute, and I was at a Hollywood Foreign 606 00:39:20,120 --> 00:39:26,120 Speaker 1: Press uh thing, and they said, uh, we watched your movie, 607 00:39:26,440 --> 00:39:29,000 Speaker 1: and then we watched the Olsen Twin movie. And with 608 00:39:29,120 --> 00:39:32,600 Speaker 1: the Osten Twins movie, everyone was very laughing, but not 609 00:39:32,760 --> 00:39:39,759 Speaker 1: your movie. Why it's great. I think you got it. 610 00:39:40,560 --> 00:39:43,479 Speaker 1: This has been clear and vivid, at least I hope. 611 00:39:43,520 --> 00:39:47,799 Speaker 1: So Tina's an inspiration for me. She's talented, creative, and 612 00:39:47,880 --> 00:39:50,360 Speaker 1: a really nice person in spite of the fact that 613 00:39:50,400 --> 00:39:54,360 Speaker 1: her Broadway show is called Mean Girls. Visit Mean Girls 614 00:39:54,400 --> 00:39:58,280 Speaker 1: on Broadway dot com for tickets. Tina and I appeared 615 00:39:58,320 --> 00:40:01,040 Speaker 1: on stage together last year during in the World Science 616 00:40:01,080 --> 00:40:04,920 Speaker 1: Festival and our conversation some of it anyways, what you 617 00:40:05,080 --> 00:40:08,080 Speaker 1: heard in this podcast, My thanks goes out to all 618 00:40:08,120 --> 00:40:11,239 Speaker 1: the people who organized and produced that event, and I 619 00:40:11,280 --> 00:40:14,040 Speaker 1: thank them for providing us with the audio of our interview. 620 00:40:14,400 --> 00:40:17,919 Speaker 1: The World Science Festival takes place every year in New York, 621 00:40:17,960 --> 00:40:20,080 Speaker 1: and I really advise you to check it out. It's 622 00:40:20,080 --> 00:40:24,320 Speaker 1: an amazing thing. Five days of fifty events that combine 623 00:40:24,560 --> 00:40:27,840 Speaker 1: art and science. You can find more about the World 624 00:40:27,840 --> 00:40:33,520 Speaker 1: Science Festival at World Science Festival dot org. This episode 625 00:40:33,520 --> 00:40:35,880 Speaker 1: of Clear and Vivid was produced by my friend and 626 00:40:35,960 --> 00:40:39,640 Speaker 1: longtime producer Graham shed. Graham and I have worked together 627 00:40:39,680 --> 00:40:42,920 Speaker 1: for more than twenty years, including many events associated with 628 00:40:42,960 --> 00:40:47,320 Speaker 1: the World Science Festival. Our associate producer is Sarah Chase, 629 00:40:47,920 --> 00:40:52,360 Speaker 1: sound engineers Dan de zula, are tech guru is Alison Costan, 630 00:40:52,920 --> 00:40:56,799 Speaker 1: and our publicist is Sarah Hill. My special thanks to 631 00:40:56,880 --> 00:41:00,799 Speaker 1: John Delore, Harry Nelson, and Jared O'Connor know for their 632 00:41:00,800 --> 00:41:04,279 Speaker 1: in studio assistance. You can subscribe to this podcast for 633 00:41:04,400 --> 00:41:08,200 Speaker 1: free at Apple Podcasts. For more details about Clear and 634 00:41:08,320 --> 00:41:11,160 Speaker 1: Vivid and to sign up for my newsletter, please visit 635 00:41:11,200 --> 00:41:14,279 Speaker 1: Alan Alda dot com. You can also find us on 636 00:41:14,320 --> 00:41:17,719 Speaker 1: Facebook and Instagram at Clear and Vivid, and I'm on 637 00:41:17,760 --> 00:41:23,440 Speaker 1: Twitter at Alan Alda. Thanks for listening, Bye bye,