1 00:00:02,080 --> 00:00:04,560 Speaker 1: Hey guys, it's Sammy Jay and welcome back to this 2 00:00:04,600 --> 00:00:07,960 Speaker 1: week's episode of The Left Bureau Podcast. I am so 3 00:00:08,039 --> 00:00:11,920 Speaker 1: thrilled you're here. This week's episode is so special. We've 4 00:00:11,960 --> 00:00:14,160 Speaker 1: never had an episode like this before, and we're probably 5 00:00:14,160 --> 00:00:16,440 Speaker 1: never going to have an episode like this again because 6 00:00:16,480 --> 00:00:20,240 Speaker 1: I got to chat with astrophysicists Neil de grass Tyson. 7 00:00:20,600 --> 00:00:23,400 Speaker 1: You heard that right, And I am so excited for 8 00:00:23,440 --> 00:00:26,680 Speaker 1: you to listen to this episode because I genuinely learned 9 00:00:26,800 --> 00:00:29,600 Speaker 1: so much and I know you will too. I hope 10 00:00:29,600 --> 00:00:34,040 Speaker 1: you guys enjoy it. Welcome to my podcast. I am 11 00:00:34,120 --> 00:00:37,320 Speaker 1: so honored that you're here. You're my first astrophysicist on 12 00:00:37,360 --> 00:00:39,839 Speaker 1: the show. And now I have to say, science is 13 00:00:39,880 --> 00:00:43,000 Speaker 1: something that I've always been super fascinated by, but it's 14 00:00:43,040 --> 00:00:46,920 Speaker 1: something I've always struggled with learning and understanding like many others. 15 00:00:47,440 --> 00:00:49,479 Speaker 1: And I just want to simply start with what do 16 00:00:49,520 --> 00:00:51,360 Speaker 1: you love about what you do? What do you love 17 00:00:51,400 --> 00:00:57,920 Speaker 1: about space in the universe? So much? Everything, And first 18 00:00:57,960 --> 00:01:01,120 Speaker 1: of all, for you to say i'm your astro physicists 19 00:01:01,200 --> 00:01:04,800 Speaker 1: on the show, there aren't many of us in the world, Okay, 20 00:01:05,720 --> 00:01:09,039 Speaker 1: So basically everything, I like the immensity of it, I 21 00:01:09,160 --> 00:01:13,400 Speaker 1: like that that the boundary between what is known and unknown, 22 00:01:14,120 --> 00:01:16,440 Speaker 1: and you put one foot in what is known and 23 00:01:16,480 --> 00:01:20,040 Speaker 1: one foot in the unknown, and you try to deduce 24 00:01:20,840 --> 00:01:29,200 Speaker 1: or invent or discover what lies beyond. And so so 25 00:01:29,280 --> 00:01:32,480 Speaker 1: I think that the takeaway is as a scientist, you 26 00:01:32,560 --> 00:01:37,240 Speaker 1: have to learn to love the questions themselves, because if 27 00:01:37,280 --> 00:01:39,800 Speaker 1: you if you only think of science the way the 28 00:01:39,840 --> 00:01:42,720 Speaker 1: media reports on it, because the media does a story 29 00:01:42,760 --> 00:01:45,560 Speaker 1: when there's a discovery, right, and you think their discoveries 30 00:01:45,560 --> 00:01:47,840 Speaker 1: are happening all the time. But you have to learn 31 00:01:47,880 --> 00:01:50,640 Speaker 1: to love the journey. And in your whole life you 32 00:01:50,720 --> 00:01:55,040 Speaker 1: might make only one discovery or no discoveries. So the 33 00:01:55,200 --> 00:02:00,120 Speaker 1: journey is what excites you every morning, the possibility of 34 00:02:00,360 --> 00:02:04,320 Speaker 1: reaching into the unknown and pulling something back in and say, WHOA, 35 00:02:04,840 --> 00:02:07,800 Speaker 1: I knew this before. Does that give you any comfort 36 00:02:07,840 --> 00:02:10,000 Speaker 1: in knowing everything you know? Or does it make you 37 00:02:10,000 --> 00:02:13,119 Speaker 1: a little bit more terrified of the beyond? I think 38 00:02:13,160 --> 00:02:15,880 Speaker 1: you have to train yourself. I don't think it's natural 39 00:02:16,560 --> 00:02:21,320 Speaker 1: to walk around in stupefied ignorance of what's going on. 40 00:02:21,520 --> 00:02:24,960 Speaker 1: You know, nobody wants that, all right, And I get it. 41 00:02:25,120 --> 00:02:28,359 Speaker 1: I have sympathy for people who feel that way. And 42 00:02:28,520 --> 00:02:32,920 Speaker 1: one way that that shows up is someone might ask 43 00:02:32,960 --> 00:02:36,959 Speaker 1: me what was around before the Big Bang, and I'll say, 44 00:02:37,040 --> 00:02:39,720 Speaker 1: I don't know. Go top people working on it, and 45 00:02:39,720 --> 00:02:42,400 Speaker 1: they say, that had to be something. It must have 46 00:02:42,480 --> 00:02:45,680 Speaker 1: been something, it must have been God, God did it. Yeah, 47 00:02:45,800 --> 00:02:49,480 Speaker 1: that was it. And so once they say God, they 48 00:02:49,520 --> 00:02:53,000 Speaker 1: have their answer. And then you know, if you wanted 49 00:02:53,040 --> 00:02:56,560 Speaker 1: to insert deity every place where we have yet to 50 00:02:56,639 --> 00:03:02,079 Speaker 1: tread scientifically, then that's that's kind of a slippery slope, 51 00:03:02,200 --> 00:03:09,279 Speaker 1: because science ever moves forward. So I empathize with the 52 00:03:09,360 --> 00:03:14,360 Speaker 1: need to have an explanation for everything. But if that's 53 00:03:14,400 --> 00:03:18,000 Speaker 1: how you are, you won't make a good scientist because 54 00:03:18,120 --> 00:03:21,160 Speaker 1: most of what we think about every day has no 55 00:03:21,240 --> 00:03:24,200 Speaker 1: answer yet yet, and we don't even know if we're 56 00:03:24,240 --> 00:03:30,680 Speaker 1: asking the right questions. Crazy, it's crazy, It's completely crazy. So, 57 00:03:30,800 --> 00:03:35,200 Speaker 1: Storry Messenger, A Cosmic Perspective on Civilization. You said, the 58 00:03:35,360 --> 00:03:38,080 Speaker 1: troll of insights, informed by the universe and brought to 59 00:03:38,120 --> 00:03:42,160 Speaker 1: you by methods and tools of science. I love that sentence, 60 00:03:42,240 --> 00:03:45,400 Speaker 1: and I was wondering if you can expand more upon that. Well, 61 00:03:45,440 --> 00:03:51,000 Speaker 1: thank you, thank you. So this book, Starry Messenger Cosmic 62 00:03:51,240 --> 00:03:57,800 Speaker 1: Perspectives on civilization. Each chapter has a different title, as 63 00:03:58,320 --> 00:04:02,680 Speaker 1: most chapters would, but in this case, the chapters address 64 00:04:03,280 --> 00:04:09,480 Speaker 1: different sectors of society that have historically been rather combative, 65 00:04:10,440 --> 00:04:14,960 Speaker 1: uh in social settings. So there's a chapter on truth 66 00:04:15,000 --> 00:04:18,159 Speaker 1: and beauty, All right, that that might be good sort 67 00:04:18,200 --> 00:04:21,000 Speaker 1: of bar conversations there, But let's get a little more 68 00:04:21,040 --> 00:04:26,120 Speaker 1: intense a conflict and resolution where I go into political 69 00:04:26,200 --> 00:04:30,920 Speaker 1: factions who are battling for who has access to, if 70 00:04:30,960 --> 00:04:35,960 Speaker 1: not control of the truth. Objective truths, which I'd like 71 00:04:36,000 --> 00:04:38,680 Speaker 1: to distinguish from other kinds of truths. There is an 72 00:04:38,720 --> 00:04:41,040 Speaker 1: objective truth, and there is opinion. Then those need to 73 00:04:41,160 --> 00:04:44,520 Speaker 1: be right right right, Or there's there's like political truths. 74 00:04:44,520 --> 00:04:47,320 Speaker 1: I'll call it that because the politicians think it's true, 75 00:04:47,320 --> 00:04:51,080 Speaker 1: but it's what becomes true simply by them repeating it 76 00:04:51,640 --> 00:04:56,880 Speaker 1: often and with intensity. And our brain has a weakness 77 00:04:57,279 --> 00:05:00,440 Speaker 1: in it where if you see something repeat he did it, 78 00:05:00,560 --> 00:05:03,640 Speaker 1: or here's something repeated, the urge to think that it 79 00:05:03,720 --> 00:05:07,719 Speaker 1: must be true, otherwise why would it be repeated so often? Exactly, 80 00:05:08,279 --> 00:05:11,760 Speaker 1: So I applaud the fact that we have that urge 81 00:05:11,920 --> 00:05:15,560 Speaker 1: to think that way, But that urge that evolutionary urs 82 00:05:15,920 --> 00:05:19,960 Speaker 1: can be and has been hijacked by people who would 83 00:05:20,560 --> 00:05:24,400 Speaker 1: want to exercise control over you and what you think. 84 00:05:24,400 --> 00:05:26,760 Speaker 1: In the old days they called it brainwashing. Yeah, so 85 00:05:26,760 --> 00:05:28,279 Speaker 1: that would be a political truth. And then there's a 86 00:05:28,279 --> 00:05:31,560 Speaker 1: personal truth, right. Personal truth is just stuff that you believe, 87 00:05:31,680 --> 00:05:34,560 Speaker 1: and they don't require that other people have to believe. 88 00:05:34,600 --> 00:05:37,680 Speaker 1: It is your own personal sense of the world. And 89 00:05:37,720 --> 00:05:41,279 Speaker 1: all religions come under personal truths. So that's why I 90 00:05:41,320 --> 00:05:45,560 Speaker 1: distinguish those truths from objective truths. And objective truths are 91 00:05:45,600 --> 00:05:50,440 Speaker 1: true whether or not you believe in them, and high science. 92 00:05:50,640 --> 00:05:55,280 Speaker 1: And so getting back to the sentence that you extracted, Um, 93 00:05:55,320 --> 00:05:57,840 Speaker 1: and thank you for looking for cool sentences, because I 94 00:05:57,880 --> 00:06:01,240 Speaker 1: do spend a lot of effort composing sentences that go 95 00:06:01,320 --> 00:06:04,360 Speaker 1: in the book, and if the fact that they sort 96 00:06:04,360 --> 00:06:07,719 Speaker 1: of rise up off the page or in your because 97 00:06:07,720 --> 00:06:10,600 Speaker 1: you listen to the audiobook, as you told me, I'd 98 00:06:10,600 --> 00:06:15,560 Speaker 1: want those sentences to to live within you. You're very powerful. 99 00:06:15,839 --> 00:06:19,120 Speaker 1: The methods and tools of science are exquisitely tuned to 100 00:06:19,160 --> 00:06:22,840 Speaker 1: find objective truths, and when you do, you then apply 101 00:06:23,040 --> 00:06:27,800 Speaker 1: them to these sectors of society that are famous for 102 00:06:27,880 --> 00:06:31,800 Speaker 1: not embracing objective truths. And because of such people, fight 103 00:06:32,680 --> 00:06:37,560 Speaker 1: and so so, and other chapters are a gender and identity, 104 00:06:38,080 --> 00:06:43,080 Speaker 1: race and color, risk and reward. People really don't understand 105 00:06:43,200 --> 00:06:46,240 Speaker 1: risk and probability and statistics, and I don't want to 106 00:06:46,240 --> 00:06:50,560 Speaker 1: blame people for that. Somehow, it's it's just not natural 107 00:06:50,720 --> 00:06:53,920 Speaker 1: to think statistically about the world, all right. I mean, 108 00:06:53,920 --> 00:06:57,880 Speaker 1: here's't just in an example. Let's say you're ready to 109 00:06:57,960 --> 00:07:00,359 Speaker 1: drive a car off the lot. You just it, and 110 00:07:00,480 --> 00:07:04,760 Speaker 1: someone is driving into the lot saying, wanting to return 111 00:07:04,800 --> 00:07:07,200 Speaker 1: the cars. There's the worst card had it broke the 112 00:07:07,600 --> 00:07:10,160 Speaker 1: wheel fell off. I hate it. And you're just watching 113 00:07:10,200 --> 00:07:16,600 Speaker 1: this and you begin questioning your decision. And it's amazing 114 00:07:16,960 --> 00:07:21,560 Speaker 1: how impactful the testimony of one person can land within 115 00:07:21,680 --> 00:07:25,640 Speaker 1: you relative to the statistics of thousands. You mentioned a 116 00:07:25,680 --> 00:07:28,040 Speaker 1: really interesting point in your book that scientists don't look 117 00:07:28,080 --> 00:07:30,800 Speaker 1: for other scientists opinions but their data, which I think 118 00:07:30,840 --> 00:07:33,040 Speaker 1: is a very important distinction. I don't care how you 119 00:07:33,120 --> 00:07:37,040 Speaker 1: feel or think. I don't care. That has nothing to 120 00:07:37,080 --> 00:07:39,400 Speaker 1: do with my research here, But I just have nothing 121 00:07:39,440 --> 00:07:44,840 Speaker 1: to do with the data less. How you feel biases 122 00:07:44,880 --> 00:07:49,000 Speaker 1: your data. So we have methods and tools to establish 123 00:07:49,400 --> 00:07:55,200 Speaker 1: objective truths, and it requires repeated, verified experiments on whatever 124 00:07:55,240 --> 00:07:57,920 Speaker 1: the first thing is you said was true. So we're 125 00:07:57,960 --> 00:08:01,640 Speaker 1: living in a world today where social media and misinformation 126 00:08:02,400 --> 00:08:06,720 Speaker 1: is traveling so fast. I feel like as soon as 127 00:08:06,720 --> 00:08:08,840 Speaker 1: you pull up a social media app, there's just new 128 00:08:08,880 --> 00:08:11,280 Speaker 1: information you don't and it's hard to verify whether it's 129 00:08:11,320 --> 00:08:12,880 Speaker 1: true or not. I mean, I want to take away 130 00:08:12,880 --> 00:08:15,560 Speaker 1: from this conversation is what advice do you have for 131 00:08:15,640 --> 00:08:18,240 Speaker 1: like a go to way to shut down a flat earther. 132 00:08:19,080 --> 00:08:22,880 Speaker 1: I'm not that aggressive. It may feel that way sometimes 133 00:08:22,920 --> 00:08:26,600 Speaker 1: if you read my tweets. Uh So, I just tweeted 134 00:08:26,680 --> 00:08:31,880 Speaker 1: yesterday last night there was a total lunar eclipse, and 135 00:08:31,960 --> 00:08:36,079 Speaker 1: I said, here's a lunar eclipse flat earthers have never seen. 136 00:08:38,840 --> 00:08:42,280 Speaker 1: It would be like the disc of Earth casting horizontal shadow, 137 00:08:42,480 --> 00:08:46,080 Speaker 1: which would just be a skinny, little thin thing. And 138 00:08:46,720 --> 00:08:49,640 Speaker 1: that it went almost viral. I mean it was, it 139 00:08:49,679 --> 00:08:52,120 Speaker 1: went pretty high up there. That's so good. Point is, 140 00:08:52,280 --> 00:08:54,800 Speaker 1: in a free country, I'm not going to beat you 141 00:08:54,840 --> 00:08:57,120 Speaker 1: on the head if you want to think Earth is flat. 142 00:08:57,480 --> 00:09:00,080 Speaker 1: There are plenty of jobs for you where you and 143 00:09:00,120 --> 00:09:02,280 Speaker 1: still think Earth is flight. Science isn't one of them. 144 00:09:03,040 --> 00:09:06,160 Speaker 1: Science is not one of them. Here's here's one thing 145 00:09:06,200 --> 00:09:11,000 Speaker 1: to do. You say, what would be the best evidence 146 00:09:11,480 --> 00:09:15,840 Speaker 1: you would need to show that Earth was a sphere 147 00:09:16,240 --> 00:09:20,320 Speaker 1: in space? What what evidence would you seek? If you 148 00:09:20,440 --> 00:09:25,880 Speaker 1: ask that of such people, typically there is none, There 149 00:09:26,760 --> 00:09:29,680 Speaker 1: is none. Well, sorry, I did that once with someone 150 00:09:29,679 --> 00:09:32,559 Speaker 1: who was sure we didn't go to the moon, okay, okay, 151 00:09:33,800 --> 00:09:37,200 Speaker 1: And I said, well, what evidence? I went through this exercise. 152 00:09:37,240 --> 00:09:41,840 Speaker 1: What evidence would you want? And he said, well, photographs 153 00:09:42,000 --> 00:09:45,640 Speaker 1: of the landing sites? That would that would work. So 154 00:09:45,679 --> 00:09:48,000 Speaker 1: I said, well, we do have photos of the landing site. 155 00:09:48,000 --> 00:09:51,040 Speaker 1: You said really, I said, because there are satellites that 156 00:09:51,080 --> 00:09:54,480 Speaker 1: were put in orbit around the Moon. That's close enough 157 00:09:54,679 --> 00:09:56,920 Speaker 1: and you could see the rover tracks. You can see 158 00:09:56,960 --> 00:09:59,520 Speaker 1: the landing site. And so go to this web page. 159 00:10:00,600 --> 00:10:02,839 Speaker 1: So he so the next day, but this is a 160 00:10:02,880 --> 00:10:11,040 Speaker 1: full grown adult human being with with kids, always concerning right. 161 00:10:11,400 --> 00:10:16,320 Speaker 1: So the next day, uh, he says, nil, I went 162 00:10:16,440 --> 00:10:18,800 Speaker 1: to that website and sure enough I saw the tracks 163 00:10:18,840 --> 00:10:20,880 Speaker 1: and I saw this. But then I looked at the 164 00:10:20,920 --> 00:10:25,079 Speaker 1: bottom and it said that the web page was sponsored 165 00:10:25,080 --> 00:10:28,559 Speaker 1: by NASA. So how am I going to know that 166 00:10:28,640 --> 00:10:33,559 Speaker 1: they didn't fake this? And I said, pause, hold up, rewind. 167 00:10:34,640 --> 00:10:38,560 Speaker 1: You asked me what would convince you, and I provided 168 00:10:38,600 --> 00:10:42,600 Speaker 1: that evidence, and now that evidence isn't working for you. 169 00:10:42,800 --> 00:10:45,880 Speaker 1: So this is the end of our conversation. But anyhow, 170 00:10:45,960 --> 00:10:49,960 Speaker 1: so a good test would be ask what would convince 171 00:10:50,000 --> 00:10:53,480 Speaker 1: you otherwise if you don't really have a good answer 172 00:10:53,520 --> 00:10:58,040 Speaker 1: for that then, or if your only answer is I 173 00:10:58,240 --> 00:11:01,680 Speaker 1: know the truth, it's just be hidden from us by 174 00:11:01,760 --> 00:11:05,360 Speaker 1: this organization. It's never going to be good enough, never 175 00:11:05,480 --> 00:11:08,840 Speaker 1: good enough. Correct. There's an old saying in the skeptics 176 00:11:08,840 --> 00:11:14,679 Speaker 1: community which I think is correct. It's you can't use 177 00:11:14,760 --> 00:11:19,000 Speaker 1: reason to argue someone out of a point of view 178 00:11:19,520 --> 00:11:22,480 Speaker 1: that they didn't use reason to get into. So true. 179 00:11:24,160 --> 00:11:27,240 Speaker 1: Something that I'm very interested in talking about is what 180 00:11:27,320 --> 00:11:31,479 Speaker 1: are your thoughts on managing space trash and programs like starlink, 181 00:11:32,160 --> 00:11:35,480 Speaker 1: especially with the impact of satellites in space imaging. Yeah, 182 00:11:36,000 --> 00:11:38,679 Speaker 1: so those are two separate issues. Starlink is you know, 183 00:11:38,800 --> 00:11:42,000 Speaker 1: how many elon how many satellites do you need in space? 184 00:11:42,120 --> 00:11:46,600 Speaker 1: How how many? How many do you need? And it 185 00:11:46,600 --> 00:11:49,640 Speaker 1: it becomes a form of light pollution, where especially we 186 00:11:49,679 --> 00:11:52,040 Speaker 1: have a telescope about to come online this coming year 187 00:11:52,600 --> 00:11:55,839 Speaker 1: that will be taking basically snapshots of the entire sky 188 00:11:56,120 --> 00:12:00,480 Speaker 1: every night and and stitching them together. It basedically in 189 00:12:00,480 --> 00:12:05,000 Speaker 1: a movie, which will allow you to watch asteroids that 190 00:12:05,080 --> 00:12:08,480 Speaker 1: might be headed towards Earth. But if while we're trying 191 00:12:08,480 --> 00:12:11,560 Speaker 1: to find an asteroid headed towards Earth, there's you know, 192 00:12:11,760 --> 00:12:15,640 Speaker 1: hundred seventy eleven Starlink satellites coming through your field. If 193 00:12:15,679 --> 00:12:19,920 Speaker 1: you I don't want to miss the asteroid, because you're 194 00:12:19,960 --> 00:12:23,760 Speaker 1: contaminating my data with things that otherwise look like asteroids 195 00:12:24,360 --> 00:12:30,319 Speaker 1: but they're not. So there's the how it will contaminate science, 196 00:12:30,840 --> 00:12:34,000 Speaker 1: but there's also how it will change what the night 197 00:12:34,040 --> 00:12:37,040 Speaker 1: sky will beat to you as you look up affect 198 00:12:37,040 --> 00:12:41,040 Speaker 1: the Earth. So there's fortunately, there are there's an organ 199 00:12:41,120 --> 00:12:44,520 Speaker 1: there are people today who are thinking about this and 200 00:12:44,559 --> 00:12:48,400 Speaker 1: trying to find ways to reduce the impact of this 201 00:12:49,320 --> 00:12:53,040 Speaker 1: technological progress on what is otherwise the sanctity of the 202 00:12:53,160 --> 00:12:57,240 Speaker 1: night sky. And as for trash, we've got nothing for you, okay. 203 00:12:57,280 --> 00:12:59,240 Speaker 1: And I think people say, where the aliens? How come 204 00:12:59,280 --> 00:13:01,120 Speaker 1: they haven't visited. I think they tried to visit and 205 00:13:01,160 --> 00:13:04,840 Speaker 1: they saw all the trash around the Earth. We're going 206 00:13:04,880 --> 00:13:07,440 Speaker 1: to pass on this one. Let's let's let's go to 207 00:13:07,480 --> 00:13:12,080 Speaker 1: the next planet. Okay. Yeah, these folks are just nasty. 208 00:13:12,520 --> 00:13:15,480 Speaker 1: It's the trash that's in the higher orbits that will 209 00:13:15,520 --> 00:13:18,680 Speaker 1: basically be there forever unless someone goes around and vacuums 210 00:13:18,679 --> 00:13:22,080 Speaker 1: it up. And we have no such plans nor such 211 00:13:22,120 --> 00:13:25,320 Speaker 1: ideas about how to make that happen. It's too trashy. 212 00:13:25,600 --> 00:13:27,720 Speaker 1: We need to fix it, too trashy. Give it up. 213 00:13:28,800 --> 00:13:30,440 Speaker 1: We have to take a quick break. But when we 214 00:13:30,480 --> 00:13:32,360 Speaker 1: come back, I'm going to talk about what types of 215 00:13:32,400 --> 00:13:34,440 Speaker 1: research and that's going on in the world of science 216 00:13:34,720 --> 00:13:38,120 Speaker 1: you're most excited about and what you love list about learning. 217 00:13:38,440 --> 00:13:47,760 Speaker 1: We'll be right back and we're back. Are there any 218 00:13:47,760 --> 00:13:52,720 Speaker 1: scientists work that you're really interested in that isn't very 219 00:13:52,800 --> 00:13:56,160 Speaker 1: well known or talked about. I generally look at sort 220 00:13:56,160 --> 00:13:59,959 Speaker 1: of consensus work. So uh, it's not whether one science 221 00:14:00,080 --> 00:14:04,120 Speaker 1: just did one particular thing, because that's not what makes 222 00:14:04,120 --> 00:14:07,240 Speaker 1: an objective truth. As I said earlier, it hasn't been 223 00:14:07,320 --> 00:14:10,679 Speaker 1: verified by someone else. So for me, one of the 224 00:14:10,720 --> 00:14:15,680 Speaker 1: more interesting sub branches of astrophysics is one where we 225 00:14:15,720 --> 00:14:19,720 Speaker 1: have people looking for bio markers in the atmospheres of 226 00:14:19,840 --> 00:14:23,840 Speaker 1: exo planets. Well, so, can you explain what bio markers 227 00:14:23,880 --> 00:14:27,480 Speaker 1: are for totally? Well, first, ex planet is so exo 228 00:14:27,480 --> 00:14:32,680 Speaker 1: planets are planets orbiting other stars, and the first of 229 00:14:32,720 --> 00:14:37,880 Speaker 1: these was discovered in all right, so what year were 230 00:14:37,920 --> 00:14:43,040 Speaker 1: you BORNO? Two two? So you count as someone who 231 00:14:43,040 --> 00:14:47,680 Speaker 1: has been born since and so I now I will 232 00:14:47,840 --> 00:14:55,400 Speaker 1: night you generation X planet. You've only known life in 233 00:14:55,440 --> 00:14:58,080 Speaker 1: a world where we've had exo planets to talk about, 234 00:14:58,480 --> 00:15:00,880 Speaker 1: all right, that is that is if you want to 235 00:15:00,920 --> 00:15:04,520 Speaker 1: attach a generation to a scientific result, there you have it, 236 00:15:04,880 --> 00:15:06,480 Speaker 1: all right. And when you were born, we might have 237 00:15:06,560 --> 00:15:10,920 Speaker 1: known maybe a few dozen exoplanets, and now we know 238 00:15:11,000 --> 00:15:13,640 Speaker 1: more than five thousand. That's how old you are. We're 239 00:15:13,680 --> 00:15:16,080 Speaker 1: up in the five thousands. A lot can happen in 240 00:15:16,120 --> 00:15:19,560 Speaker 1: twenty years. A lot can happen in twenty years. So 241 00:15:19,640 --> 00:15:21,480 Speaker 1: you're just an old fart now because we're up in 242 00:15:21,520 --> 00:15:26,160 Speaker 1: the thousands. But will we ever know if they have life? Well, 243 00:15:26,200 --> 00:15:30,400 Speaker 1: if the planet has an atmosphere, light from the star 244 00:15:30,560 --> 00:15:34,960 Speaker 1: will pass through the atmosphere on the edges and continue 245 00:15:35,080 --> 00:15:38,640 Speaker 1: on to us, so that whatever is the chemistry of 246 00:15:38,680 --> 00:15:43,240 Speaker 1: that atmosphere, it leaves its fingerprint on the starlight. Oh, 247 00:15:43,480 --> 00:15:47,360 Speaker 1: this is this opened up an entire new field in 248 00:15:47,400 --> 00:15:50,800 Speaker 1: the search for life in the universe, because if your 249 00:15:50,800 --> 00:15:57,520 Speaker 1: planet has life. Life has certain gaseous consequences. Alright, Oxygen 250 00:15:57,600 --> 00:16:02,160 Speaker 1: on Earth is only here because we have photosynthesizing life, 251 00:16:02,760 --> 00:16:07,440 Speaker 1: trees and plankton. That's the only reason why we have oxygen. 252 00:16:08,240 --> 00:16:10,600 Speaker 1: And so if you find an exo planet and you 253 00:16:10,800 --> 00:16:14,040 Speaker 1: let the light of the star pass through and you 254 00:16:14,080 --> 00:16:17,240 Speaker 1: see oxygen in that atmosphere, oh yeah, I put that 255 00:16:17,400 --> 00:16:20,040 Speaker 1: higher on your list of one of the first planets 256 00:16:20,040 --> 00:16:22,720 Speaker 1: you might want to visit. So what am I following. 257 00:16:23,000 --> 00:16:26,480 Speaker 1: I'm following the work of that group of researchers who 258 00:16:26,760 --> 00:16:31,440 Speaker 1: are searching for bio markers in the atmospheres of exoplanets, 259 00:16:31,560 --> 00:16:33,920 Speaker 1: and the James Web Space Telescope is helping with that. 260 00:16:34,600 --> 00:16:37,480 Speaker 1: By the way, Sorry, I'm just processing all that you said. 261 00:16:37,520 --> 00:16:40,760 Speaker 1: That's incredible. Yeah, No, I'm totally I'm all in on it. 262 00:16:40,840 --> 00:16:45,960 Speaker 1: Oh yeah, that's amazing. Yeah. So I'm assuming you love stars, 263 00:16:47,400 --> 00:16:50,160 Speaker 1: don't we all? Actually, I'm sure I'm not alone there. 264 00:16:50,280 --> 00:16:53,240 Speaker 1: You know, our star is pretty important. I think clouds 265 00:16:53,240 --> 00:16:57,320 Speaker 1: are also very underrated. I love seeing them. They're so 266 00:16:57,360 --> 00:17:00,000 Speaker 1: beautiful and I just see them. Gonna go shout out 267 00:17:00,040 --> 00:17:02,960 Speaker 1: clouds because they don't get enough appreciation out there. Okay, 268 00:17:03,120 --> 00:17:10,560 Speaker 1: So uh, in the book Starry Messenger. Um, I quote clouds. 269 00:17:10,600 --> 00:17:15,200 Speaker 1: I quote a line from Joni Mitchell her song both Sides. Now, 270 00:17:15,520 --> 00:17:17,399 Speaker 1: that's so good. Wait wait, wait, we have to be 271 00:17:17,520 --> 00:17:24,320 Speaker 1: very precise here. Okay, I just want to properly quote. Okay, 272 00:17:24,359 --> 00:17:26,919 Speaker 1: I'm gonna pull up this quote. The glasses are coming on. 273 00:17:27,000 --> 00:17:28,760 Speaker 1: That's when you know it's been serious. I've got to 274 00:17:28,800 --> 00:17:32,320 Speaker 1: go there. Okay. Yes, So clouds are one of the 275 00:17:32,359 --> 00:17:35,159 Speaker 1: things she looks at in one of the verses. But 276 00:17:35,640 --> 00:17:38,520 Speaker 1: I get that's not the verse I chose. I'm really 277 00:17:38,560 --> 00:17:40,480 Speaker 1: I'm remembering now, but I will get you that cloud 278 00:17:40,560 --> 00:17:42,399 Speaker 1: verse because you sound like a cloud person. I'm a 279 00:17:42,480 --> 00:17:46,439 Speaker 1: cloud person because they're just not appreciated and they do 280 00:17:46,600 --> 00:17:49,760 Speaker 1: so much. Okay, they make my day. So here we 281 00:17:49,800 --> 00:17:55,040 Speaker 1: go rose and flows of angel hair, and I scream 282 00:17:55,200 --> 00:17:58,520 Speaker 1: castles forgive Mike because I can't. I think you should 283 00:17:58,520 --> 00:18:02,920 Speaker 1: become a singer and a rare path for you. Everywhere 284 00:18:03,640 --> 00:18:09,040 Speaker 1: looked at clouds that way, but now they only block 285 00:18:09,200 --> 00:18:14,040 Speaker 1: the sun. They rain, and they snow on everyone. So 286 00:18:14,080 --> 00:18:18,639 Speaker 1: many things I would have done, but clouds got in 287 00:18:18,840 --> 00:18:24,399 Speaker 1: my way. I've looked at clouds from both sides, now 288 00:18:24,760 --> 00:18:30,480 Speaker 1: from up and down and still somehow it's clouds illusions. 289 00:18:30,760 --> 00:18:36,080 Speaker 1: I recall I really don't know cloud so any that 290 00:18:36,080 --> 00:18:37,600 Speaker 1: that's all those singing I'm going to give you here 291 00:18:37,640 --> 00:18:40,280 Speaker 1: because I was like, I do not expect a performance. 292 00:18:40,400 --> 00:18:42,199 Speaker 1: I feel like this is a new career path for you. 293 00:18:42,880 --> 00:18:45,480 Speaker 1: So here's the so for me, obviously, it's a song, 294 00:18:45,520 --> 00:18:50,119 Speaker 1: it's a poem. It's it's metaphorical of course, and so 295 00:18:51,080 --> 00:18:54,400 Speaker 1: um So she starts out by saying, clouds they rain 296 00:18:54,520 --> 00:18:57,680 Speaker 1: and snow on everyone. Yes, they do, but when they're not, 297 00:18:57,960 --> 00:19:01,280 Speaker 1: they're not right. And most of the time they're not, 298 00:19:01,920 --> 00:19:04,800 Speaker 1: They're just floating there. And if you look at it 299 00:19:04,840 --> 00:19:07,919 Speaker 1: from both sides. And I really don't know clouds, and 300 00:19:08,000 --> 00:19:11,159 Speaker 1: most people don't understand what clouds are. Why they up 301 00:19:11,160 --> 00:19:13,760 Speaker 1: there and they're not down here? Well, sometimes they are 302 00:19:13,840 --> 00:19:16,000 Speaker 1: down here. But we have a different word for them. 303 00:19:16,080 --> 00:19:19,240 Speaker 1: You know what we call them? Am I totally missing? Yes, 304 00:19:19,280 --> 00:19:24,800 Speaker 1: it's just it's a cloud that's in your face. So 305 00:19:24,800 --> 00:19:26,280 Speaker 1: so we just have a different word for it. But 306 00:19:26,280 --> 00:19:30,560 Speaker 1: it's a cloud, all right. So all air in most 307 00:19:30,560 --> 00:19:34,639 Speaker 1: parts of the Earth has some amount of moisture in it. Yeah, okay, 308 00:19:35,400 --> 00:19:39,720 Speaker 1: And if the air gets heated, and then it rises. 309 00:19:40,680 --> 00:19:44,440 Speaker 1: As you ascend, the temperature drops, so as you ascend 310 00:19:44,440 --> 00:19:46,840 Speaker 1: in the atmosphere, it gets colder and colder and colder. 311 00:19:47,000 --> 00:19:49,080 Speaker 1: You might notice that from the temperature if you see 312 00:19:49,080 --> 00:19:52,200 Speaker 1: it on the video monitor of airplanes outside, it's forty 313 00:19:52,240 --> 00:19:56,600 Speaker 1: degrees below zero outside the window. Okay, so it's because 314 00:19:56,680 --> 00:20:00,080 Speaker 1: the ground is what's heating the air. The sunda and 315 00:20:00,160 --> 00:20:02,960 Speaker 1: heat the air. The sun heats the ground and the 316 00:20:03,000 --> 00:20:05,120 Speaker 1: ground heats the air. So I watched it happens if 317 00:20:05,119 --> 00:20:06,880 Speaker 1: a pocket of air with a little bit of moisture, 318 00:20:07,119 --> 00:20:10,919 Speaker 1: as it ascends, it gets colder, and the colder is 319 00:20:11,000 --> 00:20:14,719 Speaker 1: the pocket of air, the less capable it is of 320 00:20:14,880 --> 00:20:19,400 Speaker 1: carrying that moisture. And so what happens is something called 321 00:20:19,400 --> 00:20:23,880 Speaker 1: the relative humidity goes up because the air can it's 322 00:20:24,040 --> 00:20:27,119 Speaker 1: becoming less and less able to hold the moisture. And 323 00:20:27,200 --> 00:20:31,000 Speaker 1: at a particular temperature at the dew point, which is 324 00:20:31,000 --> 00:20:32,879 Speaker 1: a combination of how much humidity is in it and 325 00:20:33,000 --> 00:20:38,359 Speaker 1: the temperature at that dew point, the the water molecules 326 00:20:39,000 --> 00:20:44,240 Speaker 1: they coalesce and they become basically droplets. Okay, it's no 327 00:20:44,320 --> 00:20:49,240 Speaker 1: longer water vapor, it's water droplets. And in that moment 328 00:20:49,400 --> 00:20:51,880 Speaker 1: that that pocket of air is high above your head 329 00:20:52,040 --> 00:20:55,080 Speaker 1: and bend, a cloud forms and there it is. You're 330 00:20:55,119 --> 00:20:58,000 Speaker 1: making me love clouds even more. Okay, No, it's a 331 00:20:58,000 --> 00:21:00,919 Speaker 1: beautiful thing. That's why the clouds are high up and 332 00:21:01,240 --> 00:21:04,880 Speaker 1: rarely on the ground. How do you know all this information? 333 00:21:05,720 --> 00:21:08,879 Speaker 1: Just off the bat? What about learning do you love? 334 00:21:08,920 --> 00:21:11,800 Speaker 1: I know that's a two parter, but you've just so 335 00:21:11,880 --> 00:21:14,280 Speaker 1: much information. Here's what I here's my normal and we 336 00:21:14,320 --> 00:21:17,560 Speaker 1: only just met, so I don't know, but it for 337 00:21:17,640 --> 00:21:20,359 Speaker 1: most people, for many people in the United States, here's 338 00:21:20,359 --> 00:21:22,280 Speaker 1: what I would tell them. They said, how does it 339 00:21:22,320 --> 00:21:24,120 Speaker 1: you know all of this? How do you have time 340 00:21:24,160 --> 00:21:26,639 Speaker 1: to write these books? And how does you do this? 341 00:21:26,960 --> 00:21:31,320 Speaker 1: And my answer is I bet I watched less football 342 00:21:31,440 --> 00:21:37,880 Speaker 1: than you do. That's a great answer. That's my simplest answer. Okay, 343 00:21:38,200 --> 00:21:41,120 Speaker 1: So whatever you do on the weekends or when you're 344 00:21:41,160 --> 00:21:46,879 Speaker 1: otherwise doing nothing, are you binging? You know the Bachelor? 345 00:21:47,000 --> 00:21:50,800 Speaker 1: Are you whatever else is going on or Jersey Shore 346 00:21:51,440 --> 00:21:57,520 Speaker 1: or whatever whatever people do. I'm not doing that, and 347 00:21:58,000 --> 00:21:59,560 Speaker 1: I'll do it a little bit just so I know 348 00:21:59,680 --> 00:22:03,199 Speaker 1: what interests people, because that I value that. But no, 349 00:22:03,640 --> 00:22:06,280 Speaker 1: I spend a lot of time a lot of time 350 00:22:06,359 --> 00:22:10,600 Speaker 1: that other people spend doing nothing, I spend learning. That's 351 00:22:10,640 --> 00:22:14,960 Speaker 1: so awesome and so cool. I have always loved learning, 352 00:22:15,040 --> 00:22:16,520 Speaker 1: but it's always been a struggle for me because I've 353 00:22:16,520 --> 00:22:20,720 Speaker 1: grown up with learning differences, so being able to understand 354 00:22:21,000 --> 00:22:24,560 Speaker 1: information has been a struggle. But when it's you're very 355 00:22:24,600 --> 00:22:28,399 Speaker 1: good at visualizing it and just explaining it very complicated topics. 356 00:22:28,520 --> 00:22:30,760 Speaker 1: Thank you, Thank you for that. And I try to 357 00:22:30,800 --> 00:22:33,840 Speaker 1: be a responsive to the what do they call it, 358 00:22:33,920 --> 00:22:37,840 Speaker 1: the neurodiversity of us all? Uh, some people think in pictures, 359 00:22:37,880 --> 00:22:41,639 Speaker 1: some in words, some in gestures, you know, hand gestures. 360 00:22:42,000 --> 00:22:44,720 Speaker 1: So I try to fold all of that in. So 361 00:22:45,040 --> 00:22:48,040 Speaker 1: thank you for noticing that. But what I would say 362 00:22:48,200 --> 00:22:50,840 Speaker 1: is with all the learning differences that exist out there, 363 00:22:50,880 --> 00:22:56,000 Speaker 1: and finally the education system is coming to terms with that, 364 00:22:56,480 --> 00:23:01,560 Speaker 1: figuring out slowly but surely slowly. Um My daughter was 365 00:23:01,600 --> 00:23:05,919 Speaker 1: a special ed teacher and people ask her what's different 366 00:23:05,960 --> 00:23:11,080 Speaker 1: about a special ed teacher? She said, She said, especially 367 00:23:11,200 --> 00:23:16,199 Speaker 1: teachers are simply better teachers. I went to a special 368 00:23:16,359 --> 00:23:19,440 Speaker 1: ed school, so I can vouch for that. Yeah, they're 369 00:23:19,440 --> 00:23:21,959 Speaker 1: just better teachers. They know more about they know how 370 00:23:22,000 --> 00:23:26,600 Speaker 1: to teach in different ways exactly exactly. Oh, I got 371 00:23:26,600 --> 00:23:30,040 Speaker 1: in big trouble one time. What happened? I should have 372 00:23:30,200 --> 00:23:34,280 Speaker 1: left it to my forbidden Twitter file. Um, so I tweeted. 373 00:23:34,920 --> 00:23:39,720 Speaker 1: I said, for the teachers who feel compelled to say, 374 00:23:40,480 --> 00:23:43,639 Speaker 1: these students just don't want to learn, And I said, 375 00:23:44,320 --> 00:23:47,679 Speaker 1: maybe they should consider the possibility that they suck at 376 00:23:47,680 --> 00:23:53,399 Speaker 1: their job. I believe you're not wrong, but you know, 377 00:23:53,440 --> 00:23:56,679 Speaker 1: I put it out there. I've had a maybe in 378 00:23:56,720 --> 00:24:00,879 Speaker 1: front of it. I said possibly, like a possible. You know, 379 00:24:01,000 --> 00:24:03,200 Speaker 1: people said, do you remember? Remember? And then of course 380 00:24:03,200 --> 00:24:08,200 Speaker 1: it's Twitter, so it's the cesspool of opinions. Yeah. So 381 00:24:08,240 --> 00:24:13,359 Speaker 1: not every teacher is sainted, okay, and we all had 382 00:24:13,440 --> 00:24:15,840 Speaker 1: bad teachers in our lives. Well maybe you didn't because 383 00:24:16,080 --> 00:24:18,639 Speaker 1: you had speciales. I did before I moved to special 384 00:24:18,680 --> 00:24:20,320 Speaker 1: at and then I went there. You go, and you know, 385 00:24:20,480 --> 00:24:22,919 Speaker 1: and you can you can list not here, don't do it, 386 00:24:22,960 --> 00:24:25,680 Speaker 1: but you can list bad teachers right who really should 387 00:24:25,720 --> 00:24:30,159 Speaker 1: have never entered the profession. All right, we have to 388 00:24:30,200 --> 00:24:32,160 Speaker 1: take one more quick break. But when we come back, 389 00:24:32,240 --> 00:24:34,760 Speaker 1: I want to talk about how you define success for yourself. 390 00:24:35,160 --> 00:24:44,679 Speaker 1: We'll be right back and we're back. You've accomplished so 391 00:24:44,720 --> 00:24:47,720 Speaker 1: many incredible things. Throughout your career, and everyone has a 392 00:24:47,720 --> 00:24:50,119 Speaker 1: different definition of what success means to them, and I 393 00:24:50,119 --> 00:24:52,720 Speaker 1: was wondering, how do you personally define success for yourself? 394 00:24:53,080 --> 00:24:57,520 Speaker 1: Thank you? That's an excellent question. It's excellent on many levels. 395 00:24:58,080 --> 00:25:01,600 Speaker 1: And I don't often get that because now it gives 396 00:25:01,640 --> 00:25:06,600 Speaker 1: me the opportunity to for me redefined success. All right, 397 00:25:07,280 --> 00:25:13,679 Speaker 1: uh so let me take a slightly windy route to 398 00:25:13,680 --> 00:25:16,640 Speaker 1: get there. So let's say you have someone who wants 399 00:25:16,680 --> 00:25:19,119 Speaker 1: to be an actor, and then you say what kind 400 00:25:19,119 --> 00:25:20,320 Speaker 1: of actor you want to be? Well, I want to 401 00:25:20,320 --> 00:25:22,680 Speaker 1: be a famous actor. Oh so they don't want to 402 00:25:22,720 --> 00:25:23,960 Speaker 1: be a good actor, they just want to be a 403 00:25:23,960 --> 00:25:29,159 Speaker 1: famous actor. So that's a different goal, always the same 404 00:25:29,240 --> 00:25:32,840 Speaker 1: thing as you want to be the best actor you 405 00:25:32,880 --> 00:25:36,320 Speaker 1: can be. Sometimes I would even say often being the 406 00:25:36,320 --> 00:25:38,760 Speaker 1: best actor you can be will lead to that. But 407 00:25:38,840 --> 00:25:42,160 Speaker 1: if your goal is simply to be famous, then all 408 00:25:42,200 --> 00:25:46,280 Speaker 1: the times you're not famous, you're miserable. Right. You put 409 00:25:46,320 --> 00:25:49,000 Speaker 1: so much like definition on one thing and you're not 410 00:25:49,040 --> 00:25:52,160 Speaker 1: that right, right, right, and so much emphasis, and you're miserable. 411 00:25:52,640 --> 00:25:55,520 Speaker 1: If you instead say I want to be the best 412 00:25:55,560 --> 00:25:58,239 Speaker 1: actor I can be, then every performance you give on 413 00:25:58,359 --> 00:26:01,120 Speaker 1: stage or in a uh, which is I'm from New York, 414 00:26:01,200 --> 00:26:05,879 Speaker 1: so we entirely value stage performances in New York. Okay, 415 00:26:06,160 --> 00:26:09,080 Speaker 1: at the end of that performance, how'd you do? What 416 00:26:09,160 --> 00:26:11,160 Speaker 1: would you have done differently? How can you And now 417 00:26:11,200 --> 00:26:13,359 Speaker 1: that you've given that and you deliver that line that way, 418 00:26:13,520 --> 00:26:15,720 Speaker 1: is there a better way to deliver that line? And 419 00:26:15,720 --> 00:26:19,840 Speaker 1: then this is you constantly and persistently focusing on how 420 00:26:19,920 --> 00:26:23,160 Speaker 1: much better you can be at your craft. The goal 421 00:26:23,200 --> 00:26:25,040 Speaker 1: here to be as good as you possibly could be. 422 00:26:26,080 --> 00:26:31,159 Speaker 1: And what I've done in my life is whatever I've attempted, 423 00:26:32,000 --> 00:26:33,679 Speaker 1: I tried to be as good at it as I 424 00:26:33,720 --> 00:26:38,280 Speaker 1: could possibly be without regard to how people see it 425 00:26:38,440 --> 00:26:42,240 Speaker 1: or receive it or value it. And well that that's 426 00:26:42,280 --> 00:26:45,520 Speaker 1: not entirely true. So for example, let's go back to 427 00:26:47,040 --> 00:26:53,159 Speaker 1: the first what was discovered? Shoot, what was discovered? A 428 00:26:53,240 --> 00:26:58,840 Speaker 1: nineteen oh the uh space um a planet thing with 429 00:26:58,960 --> 00:27:04,560 Speaker 1: my age twenty years Okay, you gotta be plus on that, 430 00:27:06,040 --> 00:27:09,840 Speaker 1: but you know is in it? Okay? Yeah, So the 431 00:27:09,960 --> 00:27:16,359 Speaker 1: first exo planet was discovered, Okay, generation X planet, and 432 00:27:16,480 --> 00:27:21,520 Speaker 1: so I was interviewed by I was then the interim 433 00:27:21,560 --> 00:27:25,479 Speaker 1: director of the Hayden Planetarium in New York City, This 434 00:27:25,560 --> 00:27:29,720 Speaker 1: was banner headlines that exo planet was discovered. So NBC 435 00:27:29,840 --> 00:27:32,919 Speaker 1: News sent one of their action cams, you know, up 436 00:27:32,960 --> 00:27:36,239 Speaker 1: to do an interview to air that evening. And they 437 00:27:36,280 --> 00:27:38,679 Speaker 1: sent them up and and they said, and they didn't 438 00:27:38,680 --> 00:27:41,080 Speaker 1: know me yet. I just they just wanted me for 439 00:27:41,160 --> 00:27:45,280 Speaker 1: my title. And I gave my best profess soil response. 440 00:27:45,640 --> 00:27:48,320 Speaker 1: I talked about the Doppler shift and the physics of 441 00:27:48,359 --> 00:27:50,800 Speaker 1: the movement of the stars and the center of mass 442 00:27:50,880 --> 00:27:53,840 Speaker 1: of the system. And I did all of this, and 443 00:27:53,880 --> 00:27:56,040 Speaker 1: I said, and once we discovered that there was the 444 00:27:56,119 --> 00:27:58,320 Speaker 1: Doppler shift on that star, and you can make it 445 00:27:58,440 --> 00:28:02,800 Speaker 1: very hard measurement. And because the star is kind of moving, 446 00:28:03,280 --> 00:28:06,240 Speaker 1: it's like jiggling. Uh, And so that's what you're going 447 00:28:06,280 --> 00:28:09,760 Speaker 1: to measure. And so I moved my body and in 448 00:28:09,760 --> 00:28:12,920 Speaker 1: the way the star would move. And all they used 449 00:28:12,920 --> 00:28:18,600 Speaker 1: from that interview was me jiggling my That was it, okay, 450 00:28:18,760 --> 00:28:23,320 Speaker 1: And maybe one sentence, you know, And so I said, oh, well, 451 00:28:23,359 --> 00:28:27,040 Speaker 1: they don't want to hear my professor reply. They want 452 00:28:27,040 --> 00:28:30,960 Speaker 1: to sound bite. So I went home and practiced sound bites, 453 00:28:31,359 --> 00:28:34,040 Speaker 1: and so the next time I got asked, I just 454 00:28:34,080 --> 00:28:36,880 Speaker 1: get handled them sound bites and they came back for more, 455 00:28:36,920 --> 00:28:39,320 Speaker 1: and then other people came back, and this just continued 456 00:28:39,360 --> 00:28:44,040 Speaker 1: to build. And I said, I'm a servant of their curiosity. 457 00:28:44,160 --> 00:28:46,600 Speaker 1: I want to be the best servant I can be. 458 00:28:47,160 --> 00:28:50,680 Speaker 1: And one other example I'll give is the first time 459 00:28:50,720 --> 00:28:54,240 Speaker 1: I was on The Daily Show with Jon Stewart, okay 460 00:28:54,320 --> 00:28:58,400 Speaker 1: before Trevor Noah. John Stewart hosted that. And he's sharp, 461 00:28:58,840 --> 00:29:03,360 Speaker 1: he's smart, and he's funny. And I've seen politicians deer 462 00:29:03,400 --> 00:29:06,120 Speaker 1: in the headlights as he's dancing circles around them because 463 00:29:06,120 --> 00:29:08,680 Speaker 1: they're trying to get their speech out and he's not 464 00:29:08,800 --> 00:29:11,400 Speaker 1: letting them, and it's a disaster. I said, that is 465 00:29:11,400 --> 00:29:14,360 Speaker 1: not going to happen to me. So I studied him, 466 00:29:14,400 --> 00:29:16,920 Speaker 1: and I said, with a stopwatch, and I said, how 467 00:29:16,920 --> 00:29:20,360 Speaker 1: many seconds does he give you on average to speak 468 00:29:20,440 --> 00:29:24,720 Speaker 1: before he comedically interrupts, Okay, it's like time back. He 469 00:29:24,880 --> 00:29:27,280 Speaker 1: really studied this. I forgot the number like between eight 470 00:29:27,320 --> 00:29:29,680 Speaker 1: and twelve seconds, which doesn't sound like much, but it's 471 00:29:29,680 --> 00:29:32,280 Speaker 1: actually you can say a lot in ten seconds. So 472 00:29:33,040 --> 00:29:35,320 Speaker 1: I got on the show. I also had to know 473 00:29:35,720 --> 00:29:39,840 Speaker 1: three days of current events, I judged, because he's blending 474 00:29:39,960 --> 00:29:42,840 Speaker 1: it's a new show. He's blending current events with whatever 475 00:29:42,880 --> 00:29:45,120 Speaker 1: he's talking about. Because I did this, and I get 476 00:29:45,160 --> 00:29:48,480 Speaker 1: on the show and I deliver the ten seconds and 477 00:29:48,520 --> 00:29:51,160 Speaker 1: he jokes and then I come back, so I complete 478 00:29:51,200 --> 00:29:53,200 Speaker 1: the idea. He completes the joke, we go on to 479 00:29:53,320 --> 00:29:57,120 Speaker 1: the next thing. So it's it's working like it's it's 480 00:29:57,600 --> 00:30:00,760 Speaker 1: But was your dance, thank you, beautiful reference. It's a dance. 481 00:30:01,440 --> 00:30:05,600 Speaker 1: It's a dance. So in dancing in the interview and 482 00:30:05,680 --> 00:30:08,520 Speaker 1: at the end of it, people came up to me 483 00:30:09,200 --> 00:30:13,880 Speaker 1: and said, Neil, you and Johnston would have such good chemistry. 484 00:30:14,560 --> 00:30:19,680 Speaker 1: That's it's so natural. Little do you know? You have 485 00:30:19,880 --> 00:30:24,120 Speaker 1: no freaking idea? What kind of homework went into this? 486 00:30:24,720 --> 00:30:26,920 Speaker 1: And that was trying to be the best I can be. 487 00:30:27,520 --> 00:30:31,440 Speaker 1: So for me, I am successful if whatever I did 488 00:30:32,480 --> 00:30:35,120 Speaker 1: it was the best I could do in that time 489 00:30:35,160 --> 00:30:38,880 Speaker 1: for the research I was able to conduct. That's that's 490 00:30:38,920 --> 00:30:40,760 Speaker 1: how I measure my success. And if that, if the 491 00:30:40,760 --> 00:30:43,360 Speaker 1: public happens to like that, that's just bonus. I'm glad. 492 00:30:43,720 --> 00:30:45,120 Speaker 1: And that's all you can do at the end of 493 00:30:45,160 --> 00:30:49,520 Speaker 1: the day is be the best version of yourself correct 494 00:30:50,160 --> 00:30:52,479 Speaker 1: And if you're not that I think you are, how 495 00:30:52,520 --> 00:30:55,000 Speaker 1: should I put this you. If you don't do that, 496 00:30:56,240 --> 00:30:59,880 Speaker 1: I think this one time you have on life is 497 00:31:00,920 --> 00:31:06,960 Speaker 1: under capitalized for all that you could do, think, accomplish, feel, 498 00:31:08,480 --> 00:31:12,880 Speaker 1: and why waste any of it. So if a day 499 00:31:13,000 --> 00:31:15,720 Speaker 1: goes by where I didn't learn something or improve something 500 00:31:15,760 --> 00:31:19,800 Speaker 1: about myself, that's a wasted day. And you can guarantee 501 00:31:20,040 --> 00:31:23,000 Speaker 1: unless you happen to be the generation that will live forever. 502 00:31:23,040 --> 00:31:26,080 Speaker 1: And I don't think they're born yet, that's another sort 503 00:31:26,080 --> 00:31:29,680 Speaker 1: of generation where we increase life expectancy. So right now, 504 00:31:30,760 --> 00:31:34,920 Speaker 1: increasing life expectancy by one year every five years something 505 00:31:35,000 --> 00:31:38,600 Speaker 1: like that, okay for of the general population. So but 506 00:31:38,720 --> 00:31:41,240 Speaker 1: what the day will come where we increase life expectancy 507 00:31:41,360 --> 00:31:44,400 Speaker 1: by one year for every year of research that we do, 508 00:31:45,040 --> 00:31:48,920 Speaker 1: that generation will live forever. I think that's younger than 509 00:31:48,960 --> 00:31:52,280 Speaker 1: you at this point, because we agreed you're an old part. 510 00:31:52,560 --> 00:31:56,360 Speaker 1: That is going to be my new bio on Instagram. 511 00:31:56,840 --> 00:31:59,560 Speaker 1: So I don't really want to live forever because I 512 00:31:59,640 --> 00:32:04,120 Speaker 1: like a motivation knowing that I'm going to die. Because guaranteed, 513 00:32:04,400 --> 00:32:07,000 Speaker 1: if a day goes by that you do not serve 514 00:32:07,360 --> 00:32:11,680 Speaker 1: your own curiosities and your own enlightenment in your own wisdom, 515 00:32:11,720 --> 00:32:14,560 Speaker 1: that's you've seen the calendars on the prison walls. It's 516 00:32:14,600 --> 00:32:18,600 Speaker 1: an X in a day that you're never getting back, 517 00:32:19,600 --> 00:32:23,480 Speaker 1: and so my motivation correlates with that. Okay, the fewer 518 00:32:23,520 --> 00:32:25,720 Speaker 1: days I have left, the more motivated I am to 519 00:32:25,760 --> 00:32:29,440 Speaker 1: get stuff done. And so I don't envy the first 520 00:32:29,480 --> 00:32:32,400 Speaker 1: generation who will live forever, because I wouldn't want to 521 00:32:32,440 --> 00:32:35,880 Speaker 1: live forever. That sounds exhausting, Yeah, it can be exhausted. 522 00:32:35,880 --> 00:32:37,560 Speaker 1: Why put why do today what you can put off 523 00:32:37,640 --> 00:32:42,080 Speaker 1: until tomorrow? Well, thank you so much. This conversation has 524 00:32:42,120 --> 00:32:44,160 Speaker 1: really been eye opening for me. I feel like I've 525 00:32:44,240 --> 00:32:46,400 Speaker 1: learned a lot today and I've been really inspired, and 526 00:32:46,400 --> 00:32:48,280 Speaker 1: I would now want to learn a lot more. So 527 00:32:48,400 --> 00:32:52,640 Speaker 1: I really appreciate why why not? Right? You know the 528 00:32:52,680 --> 00:32:56,120 Speaker 1: people who graduate from school and throw their books in 529 00:32:56,160 --> 00:32:59,640 Speaker 1: the air and say schools out? It's like, why are 530 00:32:59,640 --> 00:33:02,640 Speaker 1: you be about that? What I know isn't you should 531 00:33:02,640 --> 00:33:05,160 Speaker 1: always be curious and want to keep larring correct what 532 00:33:05,200 --> 00:33:08,600 Speaker 1: school should teach? I granted school is a pain, I 533 00:33:08,640 --> 00:33:11,400 Speaker 1: get that, But the least that should happen in school 534 00:33:11,560 --> 00:33:15,160 Speaker 1: is when you do graduate, you you your curiosity is 535 00:33:15,240 --> 00:33:19,000 Speaker 1: stoked to continue to learn on your own. So my 536 00:33:19,160 --> 00:33:22,760 Speaker 1: great regret in the system is that school doesn't teach 537 00:33:22,840 --> 00:33:25,880 Speaker 1: us all to continue to be curious. It's kind of 538 00:33:25,920 --> 00:33:28,160 Speaker 1: like you stop when it's done. If you stop it, 539 00:33:28,200 --> 00:33:29,960 Speaker 1: and then you get ossified, which is a great s 540 00:33:30,000 --> 00:33:33,880 Speaker 1: a t word. You get ossified in your thinking. Whatever 541 00:33:34,040 --> 00:33:35,840 Speaker 1: was your last thoughts the last time you were in 542 00:33:35,880 --> 00:33:39,040 Speaker 1: a classroom, that's it. And then you want to start life. 543 00:33:39,080 --> 00:33:41,920 Speaker 1: You get married, have kids, and that's how you're going 544 00:33:41,960 --> 00:33:44,920 Speaker 1: to think about the world. And do you see these 545 00:33:44,920 --> 00:33:47,080 Speaker 1: older folks that are just sort of crusty in their 546 00:33:47,120 --> 00:33:50,040 Speaker 1: ways because they didn't keep learning. They didn't they didn't 547 00:33:50,040 --> 00:33:54,480 Speaker 1: stay flexible, nimble, nimble in the mind. There's a quote 548 00:33:54,480 --> 00:33:57,920 Speaker 1: in the book, second to last page of the entire book, 549 00:33:58,600 --> 00:34:01,880 Speaker 1: which is from Horace and an educator, and there's school 550 00:34:01,920 --> 00:34:05,000 Speaker 1: is named after him. He's a brilliant educated in New 551 00:34:05,080 --> 00:34:08,359 Speaker 1: York City right in the Bronx, actually from two centuries ago. 552 00:34:08,760 --> 00:34:12,640 Speaker 1: And he was giving a commencement speech and he used 553 00:34:12,640 --> 00:34:15,920 Speaker 1: the word beseech in his Nobody uses that word anymore, 554 00:34:15,920 --> 00:34:18,719 Speaker 1: and it's very I feel like it's Shakespearean, but maybe 555 00:34:18,760 --> 00:34:21,719 Speaker 1: we should bring it back. He says, I beseech you 556 00:34:23,120 --> 00:34:29,000 Speaker 1: to treasure in your heart. These my parting words be 557 00:34:29,120 --> 00:34:33,400 Speaker 1: ashamed to die until you have scored some victority for 558 00:34:33,560 --> 00:34:37,879 Speaker 1: humanity that I want that on my tombstone and has 559 00:34:37,920 --> 00:34:40,080 Speaker 1: nothing to do with being famous or rich. And it 560 00:34:40,480 --> 00:34:43,400 Speaker 1: is the world a little better off for you having 561 00:34:43,480 --> 00:34:46,400 Speaker 1: lived in it. And here's what I'm gonna recommend. Because 562 00:34:46,400 --> 00:34:48,600 Speaker 1: I don't like telling people what to do. I like 563 00:34:48,880 --> 00:34:50,839 Speaker 1: compelling them to want to do something on their own, 564 00:34:51,080 --> 00:34:52,440 Speaker 1: but not going to tell people what to do. I 565 00:34:52,760 --> 00:34:55,680 Speaker 1: tell all your your viewers and listeners, I'm gonna say, 566 00:34:55,800 --> 00:34:59,480 Speaker 1: if you're gonna get this book at all, do it 567 00:34:59,600 --> 00:35:05,360 Speaker 1: be for Thanksgiving. So all of your arguments will be honed. 568 00:35:06,239 --> 00:35:09,160 Speaker 1: So that when the crazy and and the and the 569 00:35:09,360 --> 00:35:12,279 Speaker 1: weird uncle will all come over and they want to 570 00:35:12,320 --> 00:35:15,560 Speaker 1: talk about the flat earth they wanted to, you'll be equipped. 571 00:35:15,840 --> 00:35:18,840 Speaker 1: You have answers for everything, for every comeback, and ways 572 00:35:18,880 --> 00:35:22,000 Speaker 1: to help them think through what as they're thinking about, 573 00:35:22,400 --> 00:35:27,239 Speaker 1: because a cosmic perspective is and always is transformative of 574 00:35:27,280 --> 00:35:32,879 Speaker 1: whoever basks in its light. Well, thank you so much 575 00:35:32,920 --> 00:35:35,239 Speaker 1: for coming on my podcast. I am truly honored to 576 00:35:35,280 --> 00:35:37,719 Speaker 1: have had this conversation. It's truly also made my day. 577 00:35:37,840 --> 00:35:39,759 Speaker 1: I'm delighted sim Thanks for having me