1 00:00:02,120 --> 00:00:04,840 Speaker 1: You're listening to Math and Magic, a production of My 2 00:00:05,000 --> 00:00:11,200 Speaker 1: Heart Radio. I got offered three jobs that week, as 3 00:00:11,240 --> 00:00:15,520 Speaker 1: a matter of fact. One was Time Magazine, the other 4 00:00:15,600 --> 00:00:17,759 Speaker 1: was a guy named Rick Tonry had just been elected 5 00:00:17,760 --> 00:00:21,759 Speaker 1: to Congress. And the third, rather weirdly, a guy named 6 00:00:21,800 --> 00:00:26,119 Speaker 1: cord Meyer, ran counter intelligence in the CIA. I met 7 00:00:26,160 --> 00:00:28,800 Speaker 1: with him and he wanted to recruit me for the CIA. 8 00:00:29,480 --> 00:00:31,920 Speaker 1: He made one mistake though, he said, of course, we 9 00:00:31,960 --> 00:00:34,600 Speaker 1: wouldn't want you to be a double agent or a spy. 10 00:00:35,159 --> 00:00:37,720 Speaker 1: We'd want you to be an analyst at Langley, thinking 11 00:00:37,720 --> 00:00:39,720 Speaker 1: that would make it more appealing, and I thought, well, 12 00:00:39,760 --> 00:00:50,440 Speaker 1: that's boring, and I accepted the job. At times, I 13 00:00:50,520 --> 00:00:53,600 Speaker 1: am Bob Pittman, and welcome to Math and Magic, Stories 14 00:00:53,640 --> 00:00:57,240 Speaker 1: from the Frontiers and Marketing, where we explore marketing through 15 00:00:57,320 --> 00:00:59,560 Speaker 1: the stories and lessons of those on the front lines. 16 00:01:00,040 --> 00:01:01,800 Speaker 1: Before we jump in, I want to pause for just 17 00:01:01,960 --> 00:01:05,759 Speaker 1: a second to congratulate our I Heart podcasting team. Although 18 00:01:05,800 --> 00:01:08,240 Speaker 1: we've been the number one commercial podcaster for a while, 19 00:01:08,600 --> 00:01:11,320 Speaker 1: we just passed MPR and became the number one overall 20 00:01:11,600 --> 00:01:14,039 Speaker 1: podcaster in the month of August. According tood pod Track, 21 00:01:14,400 --> 00:01:17,280 Speaker 1: we had over a three increase in audience last year, 22 00:01:17,520 --> 00:01:20,480 Speaker 1: but also want to congratulate MPR and companies like Wondering 23 00:01:20,760 --> 00:01:23,559 Speaker 1: who are also growing at a fast space and working 24 00:01:23,600 --> 00:01:27,400 Speaker 1: together to build this new podcasting industry. Podcasting is probably 25 00:01:27,440 --> 00:01:30,319 Speaker 1: the hottest new medium, and I'd like to thank all 26 00:01:30,360 --> 00:01:34,199 Speaker 1: of you for listening. Now back to the fun stuff today, 27 00:01:34,240 --> 00:01:36,959 Speaker 1: we have someone who has studied those great minds and 28 00:01:37,040 --> 00:01:39,480 Speaker 1: people who have changed the world, as well as being 29 00:01:39,520 --> 00:01:51,400 Speaker 1: a creative and business practitioner himself, Walt Riz Excep. He 30 00:01:51,440 --> 00:01:54,240 Speaker 1: has probably known as the greatest biographer of our times, 31 00:01:54,720 --> 00:01:58,120 Speaker 1: and he has also had other important identities at other moments. 32 00:01:58,120 --> 00:02:02,040 Speaker 1: In time head of CNN had editorial Time magazine, in 33 00:02:02,160 --> 00:02:04,920 Speaker 1: Time Inc. Had the first efforts of a major media 34 00:02:04,960 --> 00:02:08,440 Speaker 1: company to join the emerging Internet revolution. He was in 35 00:02:08,520 --> 00:02:11,200 Speaker 1: the attack even as a kid in the days before 36 00:02:11,200 --> 00:02:14,000 Speaker 1: geeks built apps and made millions. Back then, they were 37 00:02:14,080 --> 00:02:17,760 Speaker 1: Ham radio operators and built heath Kit electronics with a 38 00:02:17,800 --> 00:02:20,920 Speaker 1: soldering iron. He's the former head of the Aspen Institute, 39 00:02:21,280 --> 00:02:24,200 Speaker 1: now professor at Tulane, and his native New Orleans he 40 00:02:24,240 --> 00:02:27,520 Speaker 1: played jazz clarinet and he might even know something about 41 00:02:27,639 --> 00:02:32,160 Speaker 1: voodoo and the Bayous of Louisiana. Let's welcome Walter. Good 42 00:02:32,160 --> 00:02:34,120 Speaker 1: to be with you, Bob after many years. Let's tell 43 00:02:34,160 --> 00:02:37,000 Speaker 1: our listeners and I go back, way back. We're going 44 00:02:37,040 --> 00:02:39,280 Speaker 1: to get into your story, but first I want to 45 00:02:39,360 --> 00:02:42,560 Speaker 1: do you in sixty seconds. If you don't mind, just 46 00:02:42,600 --> 00:02:44,680 Speaker 1: say the first thing that comes into your mind. So 47 00:02:45,200 --> 00:02:48,600 Speaker 1: do you prefer New York City or New Orleans? New 48 00:02:48,760 --> 00:02:52,600 Speaker 1: Orleans for the food? Louis Armstrong or Dr John Luis? 49 00:02:52,680 --> 00:02:56,239 Speaker 1: I'm strong Early Riser or night Owl. I'm definitely a 50 00:02:56,320 --> 00:02:59,960 Speaker 1: night owl E reader or paperback the reader, William Shay 51 00:03:00,000 --> 00:03:04,320 Speaker 1: Experience Tennessee, Williams Tennessee, Williams Tulane, Green Wave or Harvard 52 00:03:04,320 --> 00:03:09,000 Speaker 1: Crimson Tulane, Roll Wave, Bignet or Donut Ben You why 53 00:03:09,040 --> 00:03:13,679 Speaker 1: would you need the whole fiction or nonfiction? Alas I 54 00:03:13,800 --> 00:03:18,559 Speaker 1: read too much nonfiction, I probably should indulge in novels, 55 00:03:18,680 --> 00:03:23,280 Speaker 1: Oh Boy or Gumbo Gumbo. Smartest person you know Bill Gates, 56 00:03:23,639 --> 00:03:28,239 Speaker 1: childhood hero Walker Percy novelists from New Orleans area. Sure, 57 00:03:28,480 --> 00:03:32,680 Speaker 1: first job writing for The Times picking of New Orleans 58 00:03:32,760 --> 00:03:37,200 Speaker 1: Police Headquarters five am to noon beat Something you wish 59 00:03:37,200 --> 00:03:39,560 Speaker 1: you had written? I wish I had written a novel. 60 00:03:39,600 --> 00:03:42,680 Speaker 1: I keep trying you know my agent. She says, give 61 00:03:42,720 --> 00:03:46,520 Speaker 1: it up, give it up. Last vacation with my daughter, 62 00:03:46,600 --> 00:03:50,000 Speaker 1: we drove around Grant earlier in the summer. Favorite TV show, 63 00:03:50,120 --> 00:03:54,880 Speaker 1: The PPS News out, Favorite New Orleans jazz musician went in. 64 00:03:54,960 --> 00:03:59,000 Speaker 1: Marcellis most prized possession. Some of the art I bought 65 00:03:59,040 --> 00:04:01,160 Speaker 1: when I was a kid, when I could afford it. 66 00:04:01,840 --> 00:04:04,640 Speaker 1: Favorite book when you were a child, The movie Goer 67 00:04:05,160 --> 00:04:09,000 Speaker 1: by Walker Percy. Quote to live by Steve Jobs is 68 00:04:09,040 --> 00:04:11,080 Speaker 1: the people are crazy enough to think they can change 69 00:04:11,120 --> 00:04:14,320 Speaker 1: the world. Are the ones to do? Okay, we're in 70 00:04:14,440 --> 00:04:17,080 Speaker 1: theo with this one. Who would write your biography? The 71 00:04:17,120 --> 00:04:19,719 Speaker 1: only thing I desperately fear is that my daughter will 72 00:04:19,760 --> 00:04:23,200 Speaker 1: write my biography because he's a great writer. Okay, let's 73 00:04:23,240 --> 00:04:25,800 Speaker 1: start off. Let's go back in time, no pun intended. 74 00:04:26,160 --> 00:04:28,280 Speaker 1: You grew up in the nineteen fifties and sixties in 75 00:04:28,360 --> 00:04:31,000 Speaker 1: New Orleans. Can you paint the picture of what that 76 00:04:31,080 --> 00:04:34,040 Speaker 1: felt like and look like? Air conditioning had just come in. Well, 77 00:04:34,040 --> 00:04:36,080 Speaker 1: the cool thing about air conditioning coming in is that 78 00:04:36,160 --> 00:04:40,240 Speaker 1: my father, my uncle, and my granduncle had been engineers 79 00:04:40,279 --> 00:04:43,640 Speaker 1: for ice making companies, and they figured out how to 80 00:04:43,720 --> 00:04:46,880 Speaker 1: do industrial air conditioning for the department stores. And movie 81 00:04:46,920 --> 00:04:49,720 Speaker 1: theaters of New Orleans. So I got to watch them 82 00:04:49,839 --> 00:04:51,919 Speaker 1: build air conditioning, and of course it helped pay my 83 00:04:51,920 --> 00:04:54,120 Speaker 1: way through college. It's at the fifties and sixties that 84 00:04:54,160 --> 00:04:56,880 Speaker 1: they were air conditioning all these Right after World War Two, 85 00:04:56,960 --> 00:04:59,880 Speaker 1: my dad and my uncle's came home. We had a house. 86 00:05:00,160 --> 00:05:02,880 Speaker 1: My brother still lives there, right near here on Napoleon Avenue, 87 00:05:03,520 --> 00:05:07,880 Speaker 1: and they built a very long pool in order to 88 00:05:07,920 --> 00:05:10,839 Speaker 1: test out it was before Freon had been invented, to 89 00:05:11,000 --> 00:05:14,680 Speaker 1: test out air conditioning, you know, like cooling towers. But 90 00:05:14,680 --> 00:05:16,279 Speaker 1: it was just this huge pool, and it was a 91 00:05:16,320 --> 00:05:19,200 Speaker 1: swimming pool. Nobody had swimming pools back then. In ground. 92 00:05:19,279 --> 00:05:22,719 Speaker 1: Long swimming pools is not that deep. But we grew 93 00:05:22,800 --> 00:05:25,360 Speaker 1: up with this weird swimming pool because my family was 94 00:05:25,400 --> 00:05:27,440 Speaker 1: in the air conditioning because it must have been very popular. 95 00:05:27,640 --> 00:05:30,520 Speaker 1: That was particularly popular, so was my brother. When our 96 00:05:30,520 --> 00:05:33,160 Speaker 1: parents would go to Deston, Florida for the weekend. No, 97 00:05:33,360 --> 00:05:36,119 Speaker 1: we don't feel like going to Florida. So talk about 98 00:05:36,240 --> 00:05:41,000 Speaker 1: back then Louisiana politics, French Quarter, architecture, gumbo like poncha train. 99 00:05:41,240 --> 00:05:45,200 Speaker 1: I remember that long bridge, the old bridge Acrossolosolgical that 100 00:05:45,320 --> 00:05:47,440 Speaker 1: was very scary. To tell you what I remember most, 101 00:05:47,480 --> 00:05:54,520 Speaker 1: that's most important is race desegregation was just happening. We 102 00:05:54,600 --> 00:05:57,760 Speaker 1: lived in a very integrated neighborhood, Napoleon Avenue and Broadmoor. 103 00:05:57,760 --> 00:06:00,320 Speaker 1: Of the house I told you about, I rem remember 104 00:06:00,760 --> 00:06:03,960 Speaker 1: vividly the first time my cousin and I we were 105 00:06:03,960 --> 00:06:07,000 Speaker 1: walking to Ottoman Park and we were with a young 106 00:06:07,320 --> 00:06:10,560 Speaker 1: African American kid. You know, we're all about five or six. 107 00:06:11,040 --> 00:06:12,880 Speaker 1: My cousin said, hey, let's go to the merry go 108 00:06:13,080 --> 00:06:15,840 Speaker 1: round in the carousel. And then I remember just had 109 00:06:15,880 --> 00:06:18,560 Speaker 1: a sign which I had never figured out. I never 110 00:06:18,600 --> 00:06:21,120 Speaker 1: thought about what does it mean? Though I remember your 111 00:06:21,120 --> 00:06:23,480 Speaker 1: sign saying white only. I mean, I just learned how 112 00:06:23,480 --> 00:06:27,120 Speaker 1: to read, and it struck me at that moment. Oh, 113 00:06:27,240 --> 00:06:30,719 Speaker 1: I get it. They don't allow blacks into this park, 114 00:06:30,760 --> 00:06:33,360 Speaker 1: which is a private park. That's why I say I 115 00:06:33,360 --> 00:06:34,800 Speaker 1: don't want to go. I don't want to go because 116 00:06:34,839 --> 00:06:38,080 Speaker 1: I was embarrassed. But Alan insisted. I think all of 117 00:06:38,160 --> 00:06:40,200 Speaker 1: us who grew up in that era in the South 118 00:06:40,279 --> 00:06:42,760 Speaker 1: had that. I have my stories from Mississippi. When it 119 00:06:42,800 --> 00:06:46,160 Speaker 1: sort of dawns on you what's going on, as you say, embarrassment. 120 00:06:46,320 --> 00:06:48,279 Speaker 1: When we got a little bit older, I remember we 121 00:06:48,360 --> 00:06:50,679 Speaker 1: led a group of kids, a big march of black 122 00:06:50,680 --> 00:06:53,800 Speaker 1: and white kids together to reopen the pool, and it 123 00:06:53,880 --> 00:06:56,320 Speaker 1: was sort of my first little bit of activism. Any 124 00:06:56,400 --> 00:06:58,640 Speaker 1: voodoo down here, you know, I love going to St. 125 00:06:58,720 --> 00:07:02,200 Speaker 1: Louis Cemetery. That's where Marie Lavo is buried, so you 126 00:07:02,200 --> 00:07:04,799 Speaker 1: can always put a little cross on her grave. Allay 127 00:07:04,839 --> 00:07:08,159 Speaker 1: a little Gregory the dried bones, if you really have 128 00:07:08,279 --> 00:07:11,120 Speaker 1: to cast a spell doesn't work. It's worked for me 129 00:07:11,240 --> 00:07:13,840 Speaker 1: so far. I wouldn't be sitting here on a podcast 130 00:07:13,880 --> 00:07:17,960 Speaker 1: with you if the voodoo Gregory hadn't worked. So why 131 00:07:18,000 --> 00:07:20,320 Speaker 1: do so many storytellers come out of the Deep South? 132 00:07:20,840 --> 00:07:23,920 Speaker 1: Walker Percy, the guy I told you about, the novelist 133 00:07:24,000 --> 00:07:26,239 Speaker 1: to a sort of a mentor, I never quite knew 134 00:07:26,240 --> 00:07:30,200 Speaker 1: what he did. We would go over across like Poncho 135 00:07:30,280 --> 00:07:32,960 Speaker 1: Train to the Buga Fly where he and his daughter 136 00:07:32,960 --> 00:07:36,440 Speaker 1: who is my age all lived, and we'd go hunting 137 00:07:36,520 --> 00:07:40,239 Speaker 1: or water skiing or searching for turtles. We always just say, Anne, 138 00:07:40,480 --> 00:07:42,920 Speaker 1: what does your daddy do? He's always on the doc 139 00:07:43,040 --> 00:07:46,760 Speaker 1: drinking bourbon, eating hogside cheese. She would say, well, he's 140 00:07:46,760 --> 00:07:50,160 Speaker 1: a writer. I couldn't figure out what that man. I 141 00:07:50,200 --> 00:07:52,040 Speaker 1: knew you could be an engineer like my dad, or 142 00:07:52,040 --> 00:07:55,000 Speaker 1: a doctor or a fisherman. But writer. When I guess 143 00:07:55,040 --> 00:07:57,120 Speaker 1: I was about twelve, I read the movie Goer It 144 00:07:57,280 --> 00:07:59,760 Speaker 1: just come out. I realized what that meant. So I 145 00:08:00,000 --> 00:08:03,040 Speaker 1: asked Uncle Walker walcome person, tell me, because you're trying 146 00:08:03,040 --> 00:08:05,800 Speaker 1: to teach lessons, you're preaching some things in this book. 147 00:08:05,840 --> 00:08:08,000 Speaker 1: Tell me what it's about. And he said, there are 148 00:08:08,000 --> 00:08:12,440 Speaker 1: two types of people come out of Louisiana. Preachers and storytellers. 149 00:08:12,800 --> 00:08:14,560 Speaker 1: He said, if I haven't said be a storytelling, the 150 00:08:14,600 --> 00:08:16,800 Speaker 1: world's got far too many preachers. And so why do 151 00:08:16,840 --> 00:08:20,160 Speaker 1: you think the South has so many storytellers versus other 152 00:08:20,200 --> 00:08:23,040 Speaker 1: parts of the country. Maybe it's the Bourbon. Maybe it's 153 00:08:23,080 --> 00:08:25,520 Speaker 1: the fact that we lost into the loss of Civil War. 154 00:08:26,080 --> 00:08:31,239 Speaker 1: Maybe people sit on porches a lot. Alex Haley, who 155 00:08:31,360 --> 00:08:34,680 Speaker 1: wrote Roots, somebody once asked him said he was trying 156 00:08:34,679 --> 00:08:36,920 Speaker 1: to give a speech or something and he was scared. 157 00:08:36,960 --> 00:08:40,400 Speaker 1: You didn't know how to begin, And Hailey said, here's 158 00:08:40,480 --> 00:08:43,000 Speaker 1: the six words you have to know. Let me tell 159 00:08:43,040 --> 00:08:44,960 Speaker 1: you a story. Well, you know, it's funny. When I 160 00:08:45,000 --> 00:08:47,640 Speaker 1: was growing up, I had uncles who would tell stories, 161 00:08:47,760 --> 00:08:49,160 Speaker 1: and if you ask him a question, you get a 162 00:08:49,160 --> 00:08:51,079 Speaker 1: long story and the moral of the story was the 163 00:08:51,120 --> 00:08:53,760 Speaker 1: answer to your question. Do you think in this new 164 00:08:53,840 --> 00:08:57,959 Speaker 1: digitally connected world that goes on? Or is this storytelling 165 00:08:58,360 --> 00:09:01,480 Speaker 1: a lost art? Now? This is podcast is so important 166 00:09:01,480 --> 00:09:03,920 Speaker 1: why they're such a popular medium and why they're a 167 00:09:03,960 --> 00:09:06,600 Speaker 1: crucial medium for us to have now because of the 168 00:09:06,679 --> 00:09:11,360 Speaker 1: past twenty five thirty years in the digital age, we've 169 00:09:11,400 --> 00:09:15,080 Speaker 1: lost the art of narrative. Paper is a good technology 170 00:09:15,120 --> 00:09:17,199 Speaker 1: for narrative. You go page, have to page, you can't 171 00:09:17,559 --> 00:09:23,520 Speaker 1: hop around. Likewise, linear television, linear movies, they're great for narrative. 172 00:09:23,960 --> 00:09:27,960 Speaker 1: But digital media tends to be great for hopping around, 173 00:09:28,120 --> 00:09:32,560 Speaker 1: making links, jumping to gather more information, following and charting 174 00:09:32,559 --> 00:09:36,800 Speaker 1: your own course. It's interactive, which means you're not consuming 175 00:09:36,840 --> 00:09:41,160 Speaker 1: a narrative. Now that's fine. I love interactive media. I 176 00:09:41,240 --> 00:09:43,720 Speaker 1: love being able to hunt and peck and figure out 177 00:09:43,840 --> 00:09:45,720 Speaker 1: you know who the Saints are going to be playing, 178 00:09:45,800 --> 00:09:48,760 Speaker 1: and hear all the opinions about it. But every now 179 00:09:48,800 --> 00:09:50,960 Speaker 1: and then we need to get back to narrative and 180 00:09:51,040 --> 00:09:54,560 Speaker 1: to storytelling. I think it started for me listening to 181 00:09:54,760 --> 00:09:57,760 Speaker 1: this American Life was doing a podcast a long time ago. 182 00:09:58,280 --> 00:10:01,679 Speaker 1: I said, wow, they're gonna say the art of storytelling. Well, 183 00:10:01,720 --> 00:10:06,040 Speaker 1: you know what's interesting? Young people, teenagers, young adults are 184 00:10:06,080 --> 00:10:09,160 Speaker 1: flocking to it, whereas people thought, oh, talk shows, that's 185 00:10:09,200 --> 00:10:12,160 Speaker 1: for old people. And I think it's just turned everybody's 186 00:10:12,360 --> 00:10:15,160 Speaker 1: understanding upside down. It has sort of the best of 187 00:10:15,240 --> 00:10:18,360 Speaker 1: both worlds, meaning you get it on demand, you don't 188 00:10:18,360 --> 00:10:21,559 Speaker 1: have to tune in at nine am. On the other hand, 189 00:10:21,800 --> 00:10:24,920 Speaker 1: it's a narrative. You have to go with the flow. 190 00:10:25,559 --> 00:10:27,880 Speaker 1: So let's put you in context a little bit. You 191 00:10:28,000 --> 00:10:31,480 Speaker 1: played with electronics as a kid, building heath kits. You 192 00:10:31,520 --> 00:10:34,679 Speaker 1: were Ham operator. Was at w A five J T. 193 00:10:34,880 --> 00:10:38,000 Speaker 1: P w Ay very good. Yeah, in my basement of 194 00:10:38,040 --> 00:10:40,640 Speaker 1: our house w A five John Thomas Peter. Is that 195 00:10:40,679 --> 00:10:43,199 Speaker 1: what you said? Because I remember, I still remember being 196 00:10:43,200 --> 00:10:45,760 Speaker 1: a Ham radio dude. Can you still use morse code? 197 00:10:46,080 --> 00:10:48,360 Speaker 1: I no, no, But I had to learn it because 198 00:10:48,480 --> 00:10:51,520 Speaker 1: if I remember correctly, boy, you're bringing back some memories here. 199 00:10:51,840 --> 00:10:55,280 Speaker 1: You had to somehow another passive test and morse code. 200 00:10:55,440 --> 00:10:58,040 Speaker 1: I never got my operator's license because I could never 201 00:10:58,080 --> 00:11:00,240 Speaker 1: get my speed up a Morse code enough, and I 202 00:11:00,280 --> 00:11:03,000 Speaker 1: gave up. So I appreciate how hard it is to 203 00:11:03,040 --> 00:11:06,360 Speaker 1: do that. So let's do a factoid. Wire transistors better 204 00:11:06,400 --> 00:11:10,120 Speaker 1: than vacuum tubes because vacuum tubes use a lot of electricity, 205 00:11:10,160 --> 00:11:13,800 Speaker 1: they burn out their filaments. There he did. And a 206 00:11:13,920 --> 00:11:17,600 Speaker 1: transistor is a semiconductor. It's on a piece of silicon. 207 00:11:17,960 --> 00:11:21,000 Speaker 1: When I was growing up, I remember early radios and 208 00:11:21,040 --> 00:11:24,080 Speaker 1: we have a twelve transistor radio and you got twenty 209 00:11:24,080 --> 00:11:26,400 Speaker 1: four transistor radio and then you can make your own. 210 00:11:26,559 --> 00:11:28,839 Speaker 1: Remember that they were talking about the more transistors, the 211 00:11:28,880 --> 00:11:30,920 Speaker 1: better than the radio transistors. That I could hear w 212 00:11:31,040 --> 00:11:34,520 Speaker 1: l S which is this great station in Chicago where 213 00:11:34,520 --> 00:11:37,120 Speaker 1: I could hear Dodger games. You know, that was my 214 00:11:37,240 --> 00:11:40,960 Speaker 1: thing I was a kid. We saw the transistors onto 215 00:11:40,960 --> 00:11:43,760 Speaker 1: a circuit board. But what happens with Bob Moore and 216 00:11:43,800 --> 00:11:46,400 Speaker 1: others that Intel is they figured out, oh, we can 217 00:11:46,440 --> 00:11:49,160 Speaker 1: etch these on a chip of silicon. You can never 218 00:11:49,360 --> 00:11:52,880 Speaker 1: etch a vacuum tube on a chip. So where did 219 00:11:52,960 --> 00:11:57,080 Speaker 1: that builder's love come from engineering dad? Or did it 220 00:11:57,120 --> 00:11:59,520 Speaker 1: come from somewhere else? Yeah? I think it came from 221 00:11:59,520 --> 00:12:02,680 Speaker 1: having an engineering day. We all learned that the kneeds 222 00:12:02,840 --> 00:12:07,000 Speaker 1: of our parents. I'm just old enough to remember having 223 00:12:07,080 --> 00:12:09,439 Speaker 1: my earliest computers where you could open them up you 224 00:12:09,480 --> 00:12:12,200 Speaker 1: could jack in, you could put more memory, you knew 225 00:12:12,240 --> 00:12:15,720 Speaker 1: how the insides were. I think you get alienated from 226 00:12:15,800 --> 00:12:20,199 Speaker 1: your technology if you have no clue what a circuit is, 227 00:12:20,559 --> 00:12:24,280 Speaker 1: If you have no clue how a logical algorithm that 228 00:12:24,360 --> 00:12:28,840 Speaker 1: has yes, no, yes, no answers gets translated into on 229 00:12:29,000 --> 00:12:32,800 Speaker 1: off switches, which are basically transistors on a circuit board 230 00:12:33,080 --> 00:12:36,640 Speaker 1: in order to make something happen. No kid in my 231 00:12:36,800 --> 00:12:40,560 Speaker 1: two lane class today has any clue what goes on 232 00:12:40,640 --> 00:12:43,240 Speaker 1: inside of the computer. They don't even know what digital 233 00:12:43,360 --> 00:12:46,880 Speaker 1: really means, which is just an on off switch type circuits. 234 00:12:47,160 --> 00:12:50,480 Speaker 1: Do you think young people should all know coding? People 235 00:12:50,520 --> 00:12:52,280 Speaker 1: say you got to learn how to code as a kid. 236 00:12:52,320 --> 00:12:54,800 Speaker 1: They can get a job ten years from now. Now 237 00:12:54,800 --> 00:12:57,480 Speaker 1: you need to know how to think in algorithms. Ten 238 00:12:57,559 --> 00:13:00,120 Speaker 1: yearsome now, machines are gonna code for us. You is 239 00:13:00,160 --> 00:13:03,120 Speaker 1: gonna do it by voice, say turn on screen, make 240 00:13:03,200 --> 00:13:06,120 Speaker 1: trash can move to bottom right, It'll do the coding. 241 00:13:06,400 --> 00:13:11,160 Speaker 1: What you need is the creativity. And I also think 242 00:13:11,280 --> 00:13:15,040 Speaker 1: it's useful to know something about the hardware. One of 243 00:13:15,040 --> 00:13:18,040 Speaker 1: the first twist in your story is that you were 244 00:13:18,640 --> 00:13:21,920 Speaker 1: also popular. You were not the tech nerd outsider. You 245 00:13:21,920 --> 00:13:24,880 Speaker 1: were student body president. You're voted most likely to succeed, 246 00:13:24,960 --> 00:13:27,760 Speaker 1: one of the few that actually succeed. You're also very ambitious. 247 00:13:27,760 --> 00:13:31,480 Speaker 1: You interned in Washington for legendary House majority leader Hail Bogs. 248 00:13:31,559 --> 00:13:33,360 Speaker 1: You also worked for the local newspaper, and you're in 249 00:13:33,440 --> 00:13:37,120 Speaker 1: high school. Where did all that ambition come from? I 250 00:13:37,160 --> 00:13:41,679 Speaker 1: think one of the driving things for me was a 251 00:13:41,720 --> 00:13:45,480 Speaker 1: pretty keen sense of curiosity. I certainly wouldn't smarter than 252 00:13:45,520 --> 00:13:47,720 Speaker 1: the other kids I grew up with, especially at Newman. 253 00:13:48,240 --> 00:13:50,400 Speaker 1: You know your friend Michael Lewis. All these people went 254 00:13:50,440 --> 00:13:52,439 Speaker 1: to was a school with a lot of smart people. 255 00:13:52,840 --> 00:13:56,200 Speaker 1: But my dad was always curious as an engineer, and 256 00:13:56,240 --> 00:13:58,640 Speaker 1: he was always taking things apart to see how they worked. 257 00:13:59,160 --> 00:14:01,920 Speaker 1: And he loved of telling things like why is the 258 00:14:01,960 --> 00:14:03,959 Speaker 1: sky blue? And then we try to figure it out. 259 00:14:04,440 --> 00:14:06,360 Speaker 1: I was lucky enough when I worked with you many 260 00:14:06,360 --> 00:14:10,520 Speaker 1: many years ago. At Time Warner we had general interest 261 00:14:10,600 --> 00:14:13,800 Speaker 1: magazines like Time magazine where I worked, and so you 262 00:14:13,880 --> 00:14:16,760 Speaker 1: could be driven by curiosity about everything. One week I'd 263 00:14:16,800 --> 00:14:19,960 Speaker 1: be writing music. Next week I'll be writing the medicine section. 264 00:14:20,000 --> 00:14:22,560 Speaker 1: Next week I'd be writing in Foreign Affairs or the 265 00:14:22,640 --> 00:14:27,400 Speaker 1: Nation section. And so my success has not come from 266 00:14:27,520 --> 00:14:31,320 Speaker 1: being a great master of any field, but by having 267 00:14:31,400 --> 00:14:34,520 Speaker 1: more curiosity about more things than most people around me. 268 00:14:34,720 --> 00:14:36,440 Speaker 1: How did you make all this happen? Though, yes, you 269 00:14:36,480 --> 00:14:39,160 Speaker 1: were curious, but you wound up as an intern in Washington. 270 00:14:39,560 --> 00:14:43,280 Speaker 1: You wound up actually writing for the local newspaper. How 271 00:14:43,280 --> 00:14:46,960 Speaker 1: did that happen? As for the newspaper, this was in 272 00:14:47,000 --> 00:14:50,800 Speaker 1: the days when newspapers were flourishing, So as a summer job, 273 00:14:51,120 --> 00:14:52,680 Speaker 1: you know, I just went in. I didn't know the 274 00:14:52,800 --> 00:14:55,480 Speaker 1: editor publisher of the paper. But if you were willing 275 00:14:55,560 --> 00:14:58,200 Speaker 1: to be a reporter, the Times picked you and had 276 00:14:58,360 --> 00:15:02,800 Speaker 1: hundred and fifty reporters. I did police headquarters, as I said, 277 00:15:02,880 --> 00:15:06,120 Speaker 1: were seventeen, you know, in high school. I know I 278 00:15:06,160 --> 00:15:09,040 Speaker 1: was in high school because I remember applying to college 279 00:15:09,760 --> 00:15:12,320 Speaker 1: and I already had a whole stack of newspaper clips, 280 00:15:12,360 --> 00:15:17,040 Speaker 1: including mostly crime stories. But I think by actually having 281 00:15:17,080 --> 00:15:20,080 Speaker 1: a bunch of front page newspaper clips that seemed to 282 00:15:20,080 --> 00:15:22,760 Speaker 1: impress the people who let you into college. Well, let's 283 00:15:22,760 --> 00:15:24,320 Speaker 1: talk about college for a minute. You went on to 284 00:15:24,440 --> 00:15:27,320 Speaker 1: Harvard and then you were a Rhodes scholared Oxford and 285 00:15:27,360 --> 00:15:30,640 Speaker 1: in that area geographic diversity for an ivy League was 286 00:15:31,040 --> 00:15:33,960 Speaker 1: much less than today. Why Harvard and not l s U. 287 00:15:34,400 --> 00:15:37,400 Speaker 1: Harvard was Harvard. You'd heard of it, and so I 288 00:15:37,440 --> 00:15:40,000 Speaker 1: went to my you know, high school guidance counsel, and 289 00:15:40,040 --> 00:15:42,280 Speaker 1: she said, okay, we'll try to get you into it. 290 00:15:42,880 --> 00:15:45,240 Speaker 1: And you know, I was lucky he had the newspaper clips. 291 00:15:45,240 --> 00:15:49,520 Speaker 1: But you're right, geographic diversity. You know, people who are 292 00:15:49,560 --> 00:15:53,240 Speaker 1: against affirmative action say I always reminded, say, we've always had. 293 00:15:53,760 --> 00:15:56,280 Speaker 1: I had affirmative action. Harvard was thought it was cool 294 00:15:56,320 --> 00:15:59,000 Speaker 1: to get a person from Louisiana and back then, so 295 00:15:59,080 --> 00:16:02,400 Speaker 1: you hit Boss. Then the IVY League. I guess it 296 00:16:02,440 --> 00:16:04,400 Speaker 1: was newly co ed about the time you went there, 297 00:16:04,680 --> 00:16:07,760 Speaker 1: and there was a long and honored traditions up there. 298 00:16:08,080 --> 00:16:09,880 Speaker 1: How did that change your view of the world New 299 00:16:09,960 --> 00:16:13,040 Speaker 1: Orleans versus Boston in that life that you I tell 300 00:16:13,080 --> 00:16:15,360 Speaker 1: you what ingrained in me when I went up to 301 00:16:15,480 --> 00:16:21,040 Speaker 1: Boston and Harvard and then Oxford. You learn tradition, You 302 00:16:21,240 --> 00:16:24,240 Speaker 1: learn to respect the past, which also comes from being 303 00:16:24,280 --> 00:16:28,680 Speaker 1: a Southerner and storyteller. You learn when you look at 304 00:16:29,640 --> 00:16:33,240 Speaker 1: Harvard Yard or the quad at Oxford where I was 305 00:16:33,800 --> 00:16:36,320 Speaker 1: that Oh my goodness, you know, Dr Johnson was in 306 00:16:36,400 --> 00:16:41,080 Speaker 1: this college. So it puts things in perspective, and that's 307 00:16:41,120 --> 00:16:43,760 Speaker 1: why to get to when you and I started working together, 308 00:16:44,200 --> 00:16:46,800 Speaker 1: I kind of went to Time magazine. It seemed like, 309 00:16:47,040 --> 00:16:51,160 Speaker 1: all right, that's an institution. I don't need to start 310 00:16:51,680 --> 00:16:55,640 Speaker 1: Spy magazine or start some new magazine. I kind of 311 00:16:55,680 --> 00:16:59,960 Speaker 1: like something that has a history and a tradition. Back then, 312 00:17:00,360 --> 00:17:02,360 Speaker 1: there was no such thing as a venture capitalists giving 313 00:17:02,400 --> 00:17:05,000 Speaker 1: you money. If you started something, you did it with 314 00:17:05,040 --> 00:17:08,399 Speaker 1: somebody else's money. MTV we started. I have one percent 315 00:17:08,440 --> 00:17:11,040 Speaker 1: of MTV and thought I was lucky, but you know, 316 00:17:11,200 --> 00:17:14,399 Speaker 1: you were somebody in that category. The first wave of 317 00:17:14,480 --> 00:17:18,119 Speaker 1: people I knew who said something like why don't we 318 00:17:18,160 --> 00:17:22,639 Speaker 1: start MTV. That's the downside of being the personality I 319 00:17:22,720 --> 00:17:25,679 Speaker 1: am with a reverence for institutions and history and preservation. 320 00:17:26,040 --> 00:17:28,120 Speaker 1: I don't wake up one morning and say, hell, let's 321 00:17:28,119 --> 00:17:30,439 Speaker 1: start a music video and I want to destroy the 322 00:17:30,480 --> 00:17:35,760 Speaker 1: institution engine you build them upways good to have both sorts, 323 00:17:35,920 --> 00:17:39,920 Speaker 1: especially in our friendship. And this time you were college 324 00:17:39,920 --> 00:17:43,040 Speaker 1: student developing who you were. What did you envision doing 325 00:17:43,080 --> 00:17:45,200 Speaker 1: for a living as an adult when you got out 326 00:17:45,200 --> 00:17:48,200 Speaker 1: of school. I studied philosophy for a while, both at 327 00:17:48,200 --> 00:17:51,800 Speaker 1: Harvard an Oxford, and I remember going back to the 328 00:17:51,840 --> 00:17:55,080 Speaker 1: greatest of all philosophy professors I've ever had was John 329 00:17:55,160 --> 00:17:58,240 Speaker 1: Rawls or a Theory of Justice, and I've done something 330 00:17:58,280 --> 00:18:00,200 Speaker 1: like that at auction. So I went back him and 331 00:18:00,200 --> 00:18:03,080 Speaker 1: showed him my Oxford dissertation, and I said to him, 332 00:18:03,119 --> 00:18:05,800 Speaker 1: I can't quite figure out what I should do. I'm 333 00:18:05,840 --> 00:18:08,800 Speaker 1: thinking I might want to become an academic philosopher, but 334 00:18:08,920 --> 00:18:11,159 Speaker 1: I also have a job. Offer to go back to 335 00:18:11,200 --> 00:18:14,240 Speaker 1: the newspaper in New Orleans where I worked, maybe I 336 00:18:14,280 --> 00:18:16,399 Speaker 1: want to be a journalist. He read the paper and 337 00:18:16,400 --> 00:18:18,520 Speaker 1: then he said to me, very politely, you'd make a 338 00:18:18,520 --> 00:18:23,480 Speaker 1: good journalist. And so I ended up becoming a journalist 339 00:18:23,520 --> 00:18:25,440 Speaker 1: again in New Orleans. As I say, I had done 340 00:18:25,440 --> 00:18:28,560 Speaker 1: it in high school and then at time it was 341 00:18:28,600 --> 00:18:31,800 Speaker 1: almost a placeholder, like Okay, I'll do this and then 342 00:18:31,800 --> 00:18:33,199 Speaker 1: I'll figure out what I want to be when I 343 00:18:33,240 --> 00:18:35,680 Speaker 1: grow up. But after about forty years I was I 344 00:18:35,760 --> 00:18:37,960 Speaker 1: kind of like I might be a journalist. Before we 345 00:18:38,080 --> 00:18:41,880 Speaker 1: jump to your time after college, narrow escapes or near 346 00:18:41,920 --> 00:18:45,120 Speaker 1: death experiences almost always have a lasting effect. You had 347 00:18:45,160 --> 00:18:47,560 Speaker 1: one back then. I think it was in Ireland when 348 00:18:47,600 --> 00:18:50,760 Speaker 1: you were covering. Oh yeah, oh yeah. I was covering 349 00:18:50,800 --> 00:18:53,399 Speaker 1: for the Sunday Times of London and I went to 350 00:18:53,920 --> 00:18:56,960 Speaker 1: Belfast with a guy named David Blundy, who was no 351 00:18:57,040 --> 00:18:59,400 Speaker 1: longer with us because he was killed by a sniper 352 00:18:59,440 --> 00:19:02,880 Speaker 1: and salvit. I remember we were in the Europa Hotel. 353 00:19:03,560 --> 00:19:06,560 Speaker 1: The Sunday Times, as the name implies, comes out only 354 00:19:06,640 --> 00:19:09,639 Speaker 1: on Sunday, and this is like a Wednesday, and David said, oh, 355 00:19:09,680 --> 00:19:11,920 Speaker 1: there's gonna be a mass protest down in this part 356 00:19:11,960 --> 00:19:15,040 Speaker 1: of Belfast. We gotta go. I said, David, it's a Wednesday. 357 00:19:15,080 --> 00:19:16,800 Speaker 1: You know, it's not like we have a paper to 358 00:19:16,840 --> 00:19:19,359 Speaker 1: write for. And I kept saying we should just go 359 00:19:19,440 --> 00:19:21,840 Speaker 1: to the bar and the Europa and have dinner. There 360 00:19:21,840 --> 00:19:24,800 Speaker 1: were a lot of other journalists there and he said no, 361 00:19:25,000 --> 00:19:27,679 Speaker 1: So he dragged me down there and it was totally safe. 362 00:19:27,720 --> 00:19:29,720 Speaker 1: I mean, there are protesters and all. And we get 363 00:19:29,720 --> 00:19:32,280 Speaker 1: back to the hotel. The hotel had been bombed, including 364 00:19:32,280 --> 00:19:34,879 Speaker 1: the pub on top of the hotel, and David said, 365 00:19:35,040 --> 00:19:36,880 Speaker 1: this is a lesson to you. You never know where 366 00:19:36,880 --> 00:19:40,679 Speaker 1: you're gonna be in danger. Alas he's the one we lost, 367 00:19:41,560 --> 00:19:43,399 Speaker 1: And did that have an impact on you to be 368 00:19:43,440 --> 00:19:45,199 Speaker 1: that close to being at the wrong place at the 369 00:19:45,200 --> 00:19:48,359 Speaker 1: wrong time. No, I think what had an impact on 370 00:19:48,560 --> 00:19:53,359 Speaker 1: me was the adrenaline that comes from covering something amazing. 371 00:19:53,920 --> 00:19:56,720 Speaker 1: There are always a people who run away from the 372 00:19:56,720 --> 00:19:59,120 Speaker 1: World Trade Center and the people who run towards it. 373 00:20:00,119 --> 00:20:04,920 Speaker 1: I always wanted to be there when things were happening, 374 00:20:04,960 --> 00:20:08,119 Speaker 1: even if they were somewhat dangerous. Remember, I'm almost looking 375 00:20:08,119 --> 00:20:09,919 Speaker 1: out of the window here. You can almost see it 376 00:20:09,960 --> 00:20:12,000 Speaker 1: from where we are. In New Orleans. There was a 377 00:20:12,000 --> 00:20:15,080 Speaker 1: Howard Johnson's was a sniper on it right down the 378 00:20:15,119 --> 00:20:17,520 Speaker 1: street in City Hall, and I remember hearing about it, 379 00:20:17,640 --> 00:20:19,800 Speaker 1: even though I was off duty. It was late afternoon, 380 00:20:20,240 --> 00:20:23,080 Speaker 1: going down there and wanting to cover it. So I 381 00:20:23,119 --> 00:20:25,880 Speaker 1: think that you know, we each have our braveries. Mind 382 00:20:25,960 --> 00:20:29,520 Speaker 1: is not very strong, but it is that curiosity that 383 00:20:29,600 --> 00:20:32,480 Speaker 1: drives me to be places, even places that might not 384 00:20:32,520 --> 00:20:36,159 Speaker 1: be the safest at times. Just hold on a second, 385 00:20:36,240 --> 00:20:38,760 Speaker 1: because we've got so much more to talk about. We'll 386 00:20:38,800 --> 00:20:45,440 Speaker 1: be back after a quick break. Welcome back to math 387 00:20:45,520 --> 00:20:50,320 Speaker 1: and magic. We're here with Walter is Sison. After school, 388 00:20:50,760 --> 00:20:52,520 Speaker 1: you came back to New Orleans. You went to work 389 00:20:52,560 --> 00:20:55,399 Speaker 1: for the newspaper, and through a mixture of right place 390 00:20:55,520 --> 00:20:58,520 Speaker 1: right Time and great talent. You get hired by Time 391 00:20:58,560 --> 00:21:01,680 Speaker 1: Magazine at a really age. This, by the way, was 392 00:21:01,720 --> 00:21:05,560 Speaker 1: when Time was absolutely one of the top news organizations 393 00:21:05,600 --> 00:21:07,520 Speaker 1: in the world. Why did they pick you? You know, 394 00:21:07,640 --> 00:21:11,119 Speaker 1: this is really the golden days of journalism, and I 395 00:21:11,119 --> 00:21:14,280 Speaker 1: guess it was the late eighties. They had sent a 396 00:21:14,359 --> 00:21:20,760 Speaker 1: senior editor around America to find talent out therehic diversity 397 00:21:20,800 --> 00:21:25,119 Speaker 1: into geographic diversity. They were recruiting. Time Magazine was growing 398 00:21:25,119 --> 00:21:28,320 Speaker 1: and wanted young people from around the country. I had 399 00:21:28,359 --> 00:21:31,240 Speaker 1: been covering city hall by that point in New Orleans 400 00:21:31,240 --> 00:21:34,040 Speaker 1: and had written columns about the mayor's race. Had called 401 00:21:34,040 --> 00:21:36,679 Speaker 1: the race, and so they were paper had been touting me. 402 00:21:36,720 --> 00:21:39,760 Speaker 1: A business editor of Time arrived and here's about me. 403 00:21:39,880 --> 00:21:43,280 Speaker 1: Takes me to lunch and I got offered three jobs 404 00:21:43,359 --> 00:21:47,760 Speaker 1: that week, as a matter of fact. One was Time Magazine, 405 00:21:48,160 --> 00:21:50,080 Speaker 1: the other was a guy named Rick Tonry had just 406 00:21:50,119 --> 00:21:53,040 Speaker 1: been elected to Congress wanted me to go up as 407 00:21:53,480 --> 00:21:58,240 Speaker 1: his administrative assistant. And the third, rather weirdly, the guy 408 00:21:58,320 --> 00:22:01,639 Speaker 1: named cord Meyer. Remember who he no. Corde Meyer was 409 00:22:01,680 --> 00:22:05,720 Speaker 1: a famous CI agent ran counter intelligence in the CIA. 410 00:22:06,359 --> 00:22:09,760 Speaker 1: He had been in the London Embassy and he had 411 00:22:09,800 --> 00:22:12,320 Speaker 1: met lots of kids from Oxford. We never quite figured 412 00:22:12,320 --> 00:22:14,280 Speaker 1: out why did Corde Meyer wanted me to us alve 413 00:22:15,000 --> 00:22:17,000 Speaker 1: But one day I got a call saying Corde Meyers 414 00:22:17,000 --> 00:22:18,560 Speaker 1: in New Orleans wants to meet you at the Hilton 415 00:22:18,600 --> 00:22:21,159 Speaker 1: Hotel next to the airport. I thought that's weird. I 416 00:22:21,280 --> 00:22:23,439 Speaker 1: met with him and he wanted to recruit me for 417 00:22:23,480 --> 00:22:26,919 Speaker 1: the CIA. He made one mistake though, He said, of 418 00:22:26,920 --> 00:22:29,320 Speaker 1: course we wouldn't want you to be a double agent 419 00:22:29,480 --> 00:22:32,720 Speaker 1: or spy. We'd want you to be an analyst at Langley, 420 00:22:32,800 --> 00:22:34,960 Speaker 1: thinking that would make it more appealing. And I thought, 421 00:22:34,960 --> 00:22:37,480 Speaker 1: well that's boring, and I accepted the job at time. 422 00:22:37,960 --> 00:22:41,240 Speaker 1: So you show up in New York and you've come 423 00:22:41,280 --> 00:22:44,120 Speaker 1: from the Times, pick a junior now at time? What 424 00:22:44,200 --> 00:22:46,639 Speaker 1: was the difference in journalism? What sort of struck you 425 00:22:46,720 --> 00:22:50,520 Speaker 1: that first impression of this is different? The writing was 426 00:22:50,600 --> 00:22:53,639 Speaker 1: done as a group. In other words, you had correspondence 427 00:22:53,640 --> 00:22:55,679 Speaker 1: to which and then things that'd be a writer who 428 00:22:55,680 --> 00:22:58,680 Speaker 1: would compile it. So it was all done as a collaborative, 429 00:22:58,720 --> 00:23:01,560 Speaker 1: collegial thing. Time to even have by lines back then, 430 00:23:01,920 --> 00:23:04,560 Speaker 1: and I like that notion of team mark. It made 431 00:23:04,560 --> 00:23:09,000 Speaker 1: it feel very magical and distilling huge amount of wisdom. 432 00:23:09,240 --> 00:23:12,719 Speaker 1: The other thing that struck me immediately was the power 433 00:23:12,800 --> 00:23:16,720 Speaker 1: of this institution of time. If I wanted to meet 434 00:23:16,800 --> 00:23:18,760 Speaker 1: Garth Brooks because I heard he was an up and 435 00:23:18,800 --> 00:23:22,359 Speaker 1: coming country star, you just call some publicist or whatever 436 00:23:22,440 --> 00:23:26,360 Speaker 1: and you'd be having And that was true of Ronald Reagan. 437 00:23:26,480 --> 00:23:32,480 Speaker 1: It was heavy, and for somebody who's adrenaline fix comes 438 00:23:32,480 --> 00:23:35,720 Speaker 1: from curiosity, it was just like a kid in the 439 00:23:35,760 --> 00:23:38,400 Speaker 1: candy store. I think I remember you telling me once 440 00:23:38,440 --> 00:23:42,000 Speaker 1: we were talking about impartiality and how important that was. 441 00:23:42,040 --> 00:23:44,240 Speaker 1: It was you or someone else said it's so important. 442 00:23:44,680 --> 00:23:47,400 Speaker 1: They didn't even vote. The entire time I was at 443 00:23:47,440 --> 00:23:53,240 Speaker 1: Time magazine or CNN, I never voted in an election 444 00:23:53,359 --> 00:23:56,760 Speaker 1: that we might cover presidential race or even a Senate race. 445 00:23:56,960 --> 00:24:01,240 Speaker 1: I sometimes voted like city counts, of course, where it mattered, 446 00:24:01,320 --> 00:24:05,160 Speaker 1: or I knew somebody running. And the reason was if 447 00:24:05,200 --> 00:24:07,880 Speaker 1: you voted, you had to force yourself to figure out 448 00:24:08,000 --> 00:24:10,560 Speaker 1: which side do you want? If you knew you weren't 449 00:24:10,560 --> 00:24:14,480 Speaker 1: going to vote, you didn't join aside as easily, and 450 00:24:14,560 --> 00:24:17,720 Speaker 1: you really could keep an open mind better because you 451 00:24:17,760 --> 00:24:20,520 Speaker 1: hadn't push yourself to decide who am I going to vote? 452 00:24:20,560 --> 00:24:22,920 Speaker 1: For that stuck with me all these years. These days 453 00:24:22,920 --> 00:24:25,520 Speaker 1: people would think it's ridiculous to be that way, and 454 00:24:25,560 --> 00:24:28,919 Speaker 1: they'll say, oh, you can't be objective. Well yeah, you 455 00:24:28,960 --> 00:24:32,680 Speaker 1: can try, you can try real hard. I remember one 456 00:24:32,680 --> 00:24:35,159 Speaker 1: of the first cover stories I wrote at time was 457 00:24:35,160 --> 00:24:37,840 Speaker 1: about abortion, one of the big marches, you know, right 458 00:24:37,880 --> 00:24:41,639 Speaker 1: to life Mark and I wrote a cover story on 459 00:24:41,720 --> 00:24:44,680 Speaker 1: abortion and which I tried to be one hand other 460 00:24:44,800 --> 00:24:47,280 Speaker 1: different hands, many hands. This is what people are saying 461 00:24:47,320 --> 00:24:49,840 Speaker 1: the whole march, and I got and I still have it. 462 00:24:49,960 --> 00:24:53,120 Speaker 1: I've treasured it, even though it was tough. Letter from 463 00:24:53,160 --> 00:24:57,000 Speaker 1: Walker Percy, the novelist who was a deep practicing Catholic, 464 00:24:57,200 --> 00:25:03,760 Speaker 1: very against abortion, and felt that I had betrayed the 465 00:25:03,800 --> 00:25:07,320 Speaker 1: fact that I was pro choice, even though I tried 466 00:25:07,359 --> 00:25:09,840 Speaker 1: to be objected me even handed, and he just pointed 467 00:25:09,880 --> 00:25:13,280 Speaker 1: out passages in this cover story in which it was 468 00:25:13,359 --> 00:25:19,199 Speaker 1: clear I didn't fully understand the anti abortion side as well. 469 00:25:19,720 --> 00:25:22,000 Speaker 1: But I do think there's still for me a hunger 470 00:25:22,400 --> 00:25:24,439 Speaker 1: for here's a journalist who's not trying to get in 471 00:25:24,480 --> 00:25:26,800 Speaker 1: the way of wherever the facts lad him. You were 472 00:25:26,840 --> 00:25:29,679 Speaker 1: one of the first to cover technology, and he became 473 00:25:29,760 --> 00:25:32,880 Speaker 1: one of the leading experts on it. You got Time Inc. 474 00:25:33,200 --> 00:25:35,600 Speaker 1: And Time Warner into this new world as the head 475 00:25:35,600 --> 00:25:38,080 Speaker 1: of Pathfinder. When I arrived an America Online in the 476 00:25:38,119 --> 00:25:42,480 Speaker 1: mid nineties, you were the only major media company in 477 00:25:42,520 --> 00:25:48,199 Speaker 1: the space. Why I remember once I was editor and 478 00:25:48,680 --> 00:25:51,119 Speaker 1: we wanted to do a story of on the world 479 00:25:51,119 --> 00:25:53,560 Speaker 1: of online. It was before you had really pushed a 480 00:25:53,640 --> 00:25:56,159 Speaker 1: O L to be what it was. I tried to 481 00:25:56,240 --> 00:25:59,760 Speaker 1: understand cyberspace, what was this? And I guess it's just 482 00:25:59,760 --> 00:26:01,879 Speaker 1: because I was interested in engineering. I was interested in 483 00:26:01,920 --> 00:26:05,040 Speaker 1: the network. Back then it was the well What's an Email? 484 00:26:05,359 --> 00:26:08,280 Speaker 1: Had an email account at the Well and Stewart branded 485 00:26:08,359 --> 00:26:10,960 Speaker 1: helped creative and it said you own your own words, 486 00:26:11,200 --> 00:26:13,720 Speaker 1: which I tell my students now because that's what it 487 00:26:13,800 --> 00:26:16,159 Speaker 1: said when the screen opened up, and it meant you 488 00:26:16,200 --> 00:26:19,600 Speaker 1: had to take responsibility for which is said unlike nowadays 489 00:26:19,640 --> 00:26:23,199 Speaker 1: on Twitter, you know, many other places. So I became 490 00:26:23,359 --> 00:26:27,359 Speaker 1: mesmerized by this online world. And that's how I met you. 491 00:26:27,880 --> 00:26:30,760 Speaker 1: That's how I'm at Steve Case. That I'm at ted leonsis. 492 00:26:30,800 --> 00:26:36,080 Speaker 1: Back then, Time Magazine in nine one, I think, was 493 00:26:36,160 --> 00:26:40,920 Speaker 1: the first publication outlet to go online. And when it 494 00:26:41,040 --> 00:26:43,200 Speaker 1: was online, not the internet, back then is not until 495 00:26:43,200 --> 00:26:47,840 Speaker 1: the Gore Act that you have dot com that it's 496 00:26:47,880 --> 00:26:50,400 Speaker 1: open to the public. Up until nine, when the Gore 497 00:26:50,440 --> 00:26:54,560 Speaker 1: Act goes into effect, it was limited to research. Mark 498 00:26:54,640 --> 00:26:58,200 Speaker 1: and Reeson writes the browser and becomes easy and oh, 499 00:26:58,240 --> 00:27:00,520 Speaker 1: by the way, our board meetings at a o L 500 00:27:00,520 --> 00:27:02,560 Speaker 1: in those days where should we embrace the internet or 501 00:27:02,600 --> 00:27:04,640 Speaker 1: should we fight it? In our meetings at time where 502 00:27:04,640 --> 00:27:06,720 Speaker 1: should we embrace the internet or should we fight it? 503 00:27:07,119 --> 00:27:09,640 Speaker 1: You did a great job stewarding a o L. So 504 00:27:09,840 --> 00:27:13,760 Speaker 1: what did the Pathfinder success and failures teach you and 505 00:27:13,840 --> 00:27:17,760 Speaker 1: teach the company about the new digital world. I think 506 00:27:17,840 --> 00:27:23,120 Speaker 1: we embraced it very fast. One mistake we and everybody 507 00:27:23,160 --> 00:27:27,080 Speaker 1: made in nine when the web comes along and we 508 00:27:27,160 --> 00:27:31,719 Speaker 1: move from proprietary online having websites. Pathfinder and road Runer. 509 00:27:32,000 --> 00:27:35,399 Speaker 1: My childhood nickname in Orlenge is Pathfinder. That's why we 510 00:27:35,480 --> 00:27:38,760 Speaker 1: named it that. And road Runner was a Warner Brothers. 511 00:27:38,760 --> 00:27:42,760 Speaker 1: So those are the tune services we created. We decided 512 00:27:42,840 --> 00:27:45,560 Speaker 1: it was gonna be like everything Time magazine did. You 513 00:27:45,560 --> 00:27:48,399 Speaker 1: could subscribe and pay money. You could get it by 514 00:27:48,400 --> 00:27:50,280 Speaker 1: the you know, by by the drink. We'd call it 515 00:27:50,320 --> 00:27:52,679 Speaker 1: mean a newsstand sales. You could just buy an issue 516 00:27:52,920 --> 00:27:56,080 Speaker 1: for dollar, and we had advertising revenue, so we have 517 00:27:56,119 --> 00:27:59,480 Speaker 1: three revenue streams. And then we blew it because people 518 00:27:59,680 --> 00:28:03,840 Speaker 1: coming a Madison Avenue almost carrying sacks of cash wanting 519 00:28:03,880 --> 00:28:07,000 Speaker 1: to buy advertising, banner ads, and so we said, well, 520 00:28:07,080 --> 00:28:09,600 Speaker 1: let's make all the content free so we'll have more 521 00:28:09,640 --> 00:28:13,960 Speaker 1: eyeballs to sell to advertisers. That was a doomed business model. 522 00:28:14,160 --> 00:28:16,040 Speaker 1: By the way. It turned out for real well too, 523 00:28:16,280 --> 00:28:18,960 Speaker 1: when they dropped subscriptions and they went free. With sort 524 00:28:18,960 --> 00:28:22,480 Speaker 1: of the demise our founder Henry Lose, he said in 525 00:28:22,600 --> 00:28:29,479 Speaker 1: his perspectives, any magazine that only has advertising revenue and 526 00:28:29,520 --> 00:28:35,040 Speaker 1: doesn't have subscriber revenue, that's not only economically self defeating, 527 00:28:35,359 --> 00:28:38,720 Speaker 1: it's morally abhorrent. Now having known about Henry Lose, I 528 00:28:38,760 --> 00:28:42,280 Speaker 1: think the economically self defeating was a more important But 529 00:28:42,360 --> 00:28:45,560 Speaker 1: he realized that the controlled cirque magazines, you'd call it, 530 00:28:45,880 --> 00:28:49,080 Speaker 1: you become beholden to advertisers but not beholden to readers. 531 00:28:49,080 --> 00:28:51,480 Speaker 1: You lose your focus. If the water ice extent of 532 00:28:51,560 --> 00:28:55,400 Speaker 1: nine could see the world today, what would be the 533 00:28:55,400 --> 00:28:59,920 Speaker 1: biggest surprise mobile? I remember early cell phone because I 534 00:29:00,160 --> 00:29:03,160 Speaker 1: was on the road and the amazing thing to be 535 00:29:03,200 --> 00:29:05,720 Speaker 1: able to be somewhere and be able to call. I'm 536 00:29:05,800 --> 00:29:08,000 Speaker 1: calling you on the phone on a cell phone. And 537 00:29:08,040 --> 00:29:10,040 Speaker 1: this is why I think Steve Jobs is the most 538 00:29:10,040 --> 00:29:15,520 Speaker 1: transformative leader of our day. In generation, I didn't realize 539 00:29:16,280 --> 00:29:20,040 Speaker 1: the notion that we could all be connected at all 540 00:29:20,200 --> 00:29:23,720 Speaker 1: times on our mobile devices and have GPS, and that 541 00:29:23,800 --> 00:29:28,680 Speaker 1: could help create ubers and lifts and for that matter, airbnbs. 542 00:29:28,680 --> 00:29:31,800 Speaker 1: So in two thousand and one I convinced you to 543 00:29:31,800 --> 00:29:34,520 Speaker 1: go run CNN as chairman and c you know, what 544 00:29:34,680 --> 00:29:36,960 Speaker 1: skills did you bring to that and how do you 545 00:29:37,040 --> 00:29:39,680 Speaker 1: envision CNN's future. And before we get to that, I 546 00:29:39,680 --> 00:29:42,360 Speaker 1: do want to give you this credit, which I suspect 547 00:29:42,400 --> 00:29:45,640 Speaker 1: you don't often get. But you know the little ticker 548 00:29:45,680 --> 00:29:49,000 Speaker 1: along the bottom of the news services that was you scroll. 549 00:29:49,160 --> 00:29:51,240 Speaker 1: We called it, I mean, a sad thing, but after 550 00:29:51,320 --> 00:29:54,080 Speaker 1: nine eleven, to keep the news so much news, we 551 00:29:54,120 --> 00:29:56,560 Speaker 1: wanted people to be able to read it. Other news 552 00:29:56,560 --> 00:29:59,520 Speaker 1: networks soon copied it. But that was sort of your 553 00:29:59,560 --> 00:30:02,760 Speaker 1: lasting agacy because it's still here today. Well, I guess 554 00:30:03,320 --> 00:30:06,440 Speaker 1: I just wasn't really suited to run CNN. I was 555 00:30:06,520 --> 00:30:10,360 Speaker 1: not a TV person, So when I was at Time 556 00:30:10,400 --> 00:30:12,400 Speaker 1: magazine and we wanted to do a layout, and I 557 00:30:12,440 --> 00:30:14,160 Speaker 1: wanted a picture to be a certain win. They said 558 00:30:14,160 --> 00:30:16,200 Speaker 1: we can't do that. Say, yeah, you can just crop 559 00:30:16,240 --> 00:30:18,200 Speaker 1: it here and run it over the God and bleed 560 00:30:18,200 --> 00:30:20,080 Speaker 1: it on the sides. I knew what I was doing. 561 00:30:20,360 --> 00:30:23,320 Speaker 1: I didn't have that fingertip field for television. Right after 562 00:30:23,400 --> 00:30:27,040 Speaker 1: I came nine eleven happened, and I did have the passion, 563 00:30:27,160 --> 00:30:30,640 Speaker 1: the curiosity wanting to know everything I wanted you to 564 00:30:30,680 --> 00:30:33,800 Speaker 1: know about al Qaeda, wanting to know him, about the whole. 565 00:30:34,480 --> 00:30:37,840 Speaker 1: Sooni shea divide getting Christian. I'm in port, Nick Robertson. 566 00:30:38,120 --> 00:30:41,840 Speaker 1: So I had a driving editorial curiosity. There are a 567 00:30:41,920 --> 00:30:44,440 Speaker 1: couple of things you learn at a certain point in 568 00:30:44,440 --> 00:30:47,240 Speaker 1: life that you wish you had learned earlier. I am 569 00:30:47,440 --> 00:30:51,480 Speaker 1: very good at content and ideas. I am not a 570 00:30:51,560 --> 00:30:55,840 Speaker 1: great manager executive. I've watched you because you were the 571 00:30:55,880 --> 00:30:58,880 Speaker 1: co president. I think of this entire empire of the 572 00:30:59,040 --> 00:31:02,880 Speaker 1: all time Warner of which I reported up to you. 573 00:31:02,880 --> 00:31:06,520 Speaker 1: You really knew how to manage and run a big enterprise. 574 00:31:07,040 --> 00:31:12,040 Speaker 1: I was not as crisp as a executive or somebody 575 00:31:12,080 --> 00:31:15,400 Speaker 1: could run an enterprise. It was like overwhelmed every day 576 00:31:15,440 --> 00:31:19,600 Speaker 1: by the thousands of management things. And then after the 577 00:31:19,640 --> 00:31:22,480 Speaker 1: war and after my contract was up, it was like, 578 00:31:22,640 --> 00:31:24,160 Speaker 1: you know, I don't want to spend the rest of 579 00:31:24,160 --> 00:31:26,280 Speaker 1: my life as a manager. There are people really good 580 00:31:26,280 --> 00:31:30,080 Speaker 1: at this. People can be great CEOs and chief operating officers. 581 00:31:30,920 --> 00:31:34,160 Speaker 1: I'd rather make the content have somebody have to manage 582 00:31:34,200 --> 00:31:36,520 Speaker 1: me than have to manage a whole lot of content. 583 00:31:36,760 --> 00:31:38,640 Speaker 1: Although I must say having you at the top of 584 00:31:38,720 --> 00:31:43,040 Speaker 1: CNN gave everybody in New York great comfort that we 585 00:31:43,040 --> 00:31:45,160 Speaker 1: were not going to lose the journalistic standards. And if 586 00:31:45,160 --> 00:31:47,360 Speaker 1: you were called that moment in time, there was a 587 00:31:47,400 --> 00:31:50,000 Speaker 1: real danger of that. Yeah, and that's when Fox and 588 00:31:50,000 --> 00:31:54,080 Speaker 1: then MSNBC we're coming up. At least with nine eleven. 589 00:31:54,600 --> 00:31:57,840 Speaker 1: It was absolutely clear that we had to just report 590 00:31:57,880 --> 00:32:01,040 Speaker 1: this straight down the middle. But even then it became 591 00:32:01,360 --> 00:32:04,280 Speaker 1: Foxes running flags all over their thing, and we're not 592 00:32:04,520 --> 00:32:08,160 Speaker 1: putting the American flag up enough. And it was always okay, 593 00:32:08,240 --> 00:32:10,760 Speaker 1: we have to figure out and wrestle with the partisan thing, 594 00:32:10,880 --> 00:32:14,960 Speaker 1: not just getting the story right. I think CNN has 595 00:32:15,000 --> 00:32:17,680 Speaker 1: great people, so love Wolf Blitter and all the people there. 596 00:32:18,680 --> 00:32:21,000 Speaker 1: I do think that there is a hunger for a 597 00:32:21,120 --> 00:32:24,760 Speaker 1: network that just says, let me report it. I think 598 00:32:24,800 --> 00:32:27,600 Speaker 1: we've become too opinionated in cable news if you've talked 599 00:32:27,600 --> 00:32:29,840 Speaker 1: to people, and obviously we do in our business because 600 00:32:29,840 --> 00:32:32,080 Speaker 1: we do a lot of news and opinion on all sides. 601 00:32:32,640 --> 00:32:35,160 Speaker 1: I think what is missing is, let me give you 602 00:32:35,200 --> 00:32:38,440 Speaker 1: all the information you need to make a good decision. 603 00:32:38,960 --> 00:32:42,000 Speaker 1: Let me lower your blood pressure instead of elevating your 604 00:32:42,040 --> 00:32:44,880 Speaker 1: blood pressure. Most of TV today is by elevate your 605 00:32:44,880 --> 00:32:47,360 Speaker 1: blood pressure. I get more response, I get more passionate, 606 00:32:47,400 --> 00:32:50,160 Speaker 1: I get a better rating. I think the algorithms of 607 00:32:50,200 --> 00:32:53,080 Speaker 1: the digital age, and especially of social media, but also 608 00:32:53,200 --> 00:32:57,720 Speaker 1: the ratings on digital media and television reward what they 609 00:32:57,760 --> 00:33:03,040 Speaker 1: euphemistically call engagement, meaning you retweet, you put a little likes. 610 00:33:03,400 --> 00:33:06,760 Speaker 1: It shouldn't be called just engagement, it's enragement because if 611 00:33:06,800 --> 00:33:09,800 Speaker 1: you enrage people with something, they're more likely to say, 612 00:33:09,840 --> 00:33:13,960 Speaker 1: can you believe this, or respond to it, retweet it, 613 00:33:14,320 --> 00:33:18,400 Speaker 1: or stay tuned. I'm watching in the gym today, Fox 614 00:33:18,440 --> 00:33:23,040 Speaker 1: and MSNBC and CNN, and they're not trying to parse 615 00:33:23,120 --> 00:33:25,920 Speaker 1: it and enlighten They're trying to stoke you up, get 616 00:33:25,960 --> 00:33:27,960 Speaker 1: your blood pressure up right. That's why I'll go to 617 00:33:27,960 --> 00:33:30,680 Speaker 1: the swimming pool because there's no TV in the pool. 618 00:33:31,000 --> 00:33:34,400 Speaker 1: From the Wise Men to Leonardo Daventia, including Steve Jobs 619 00:33:34,480 --> 00:33:39,080 Speaker 1: in between, you've studied great successful people. Were these people 620 00:33:39,160 --> 00:33:42,640 Speaker 1: also great at marketing their ideas and themselves? Was that 621 00:33:42,800 --> 00:33:45,080 Speaker 1: part of the success? I mean, obviously Steve was the 622 00:33:45,080 --> 00:33:49,240 Speaker 1: greatest marketer of our our tration. He was a marketer 623 00:33:49,920 --> 00:33:52,440 Speaker 1: not just because he can make an Apple add like 624 00:33:52,560 --> 00:33:55,520 Speaker 1: here's to the crazy Ones that misfits the Rebels, or 625 00:33:55,640 --> 00:34:00,840 Speaker 1: do the four ad which introduces the Macintosh. His marketing 626 00:34:00,880 --> 00:34:04,080 Speaker 1: was things like I will get the perfect color slate 627 00:34:04,400 --> 00:34:07,360 Speaker 1: to the floor of this store, and I will have 628 00:34:07,480 --> 00:34:11,480 Speaker 1: beautiful big panes of glass, and I want this type 629 00:34:11,520 --> 00:34:14,120 Speaker 1: of wood, and I want you to feel this way 630 00:34:14,160 --> 00:34:17,480 Speaker 1: when you walk in. All the Apple Store is is 631 00:34:17,520 --> 00:34:21,360 Speaker 1: just the greatest piece of marketing Steve. When he was 632 00:34:21,360 --> 00:34:24,319 Speaker 1: building that Apple store is first one. He first wanted 633 00:34:24,320 --> 00:34:25,920 Speaker 1: it to be in the Time Warner Center which was 634 00:34:25,960 --> 00:34:28,439 Speaker 1: just going up, and they didn't want a computer store 635 00:34:28,480 --> 00:34:30,600 Speaker 1: there and they told him no. So he called me 636 00:34:30,640 --> 00:34:32,279 Speaker 1: and said, I need you to see if you could 637 00:34:32,280 --> 00:34:35,120 Speaker 1: get the store. So, in typical Steve fashion, I use 638 00:34:35,200 --> 00:34:37,920 Speaker 1: every favor I've got. We call it in and probably 639 00:34:37,960 --> 00:34:40,239 Speaker 1: say okay, we'll put in an Apple store, and he goes, 640 00:34:40,560 --> 00:34:43,759 Speaker 1: never mind, I have another idea. Before Steve died, one 641 00:34:43,800 --> 00:34:46,840 Speaker 1: of his last things was I want those glass panes. 642 00:34:47,160 --> 00:34:48,839 Speaker 1: There are too many of them. I think they were 643 00:34:48,880 --> 00:34:51,719 Speaker 1: like twelve on the side, and so he said I 644 00:34:51,760 --> 00:34:54,840 Speaker 1: wanted to be three. And we're making them build clays 645 00:34:54,920 --> 00:34:57,799 Speaker 1: and China. Who can make the glass that big? And 646 00:34:57,840 --> 00:34:59,680 Speaker 1: when it opened a few weeks ago and I went 647 00:34:59,719 --> 00:35:02,680 Speaker 1: to see it, I got tears and I got choked up, saying, 648 00:35:02,719 --> 00:35:06,080 Speaker 1: you know, nobody knows this. That weird passion for perfection 649 00:35:06,160 --> 00:35:08,680 Speaker 1: is why the reopening of the Apple store. You know, 650 00:35:08,800 --> 00:35:11,000 Speaker 1: Ben Franklin also as a marketer. I mean, what I 651 00:35:11,080 --> 00:35:13,840 Speaker 1: love about him is when he comes to Philadelphia and 652 00:35:13,840 --> 00:35:17,120 Speaker 1: he opens a media company, meaning he's a printer, publisher, 653 00:35:17,280 --> 00:35:21,160 Speaker 1: Poor Richard's Almanac, even postal service. He likes a distribution. 654 00:35:21,800 --> 00:35:24,680 Speaker 1: He takes the rolls of paper he needs and puts 655 00:35:24,680 --> 00:35:26,759 Speaker 1: them in a wheelbar and marches up and down the 656 00:35:26,800 --> 00:35:29,360 Speaker 1: street because he wants people to see how early in 657 00:35:29,400 --> 00:35:31,839 Speaker 1: the morning he is up and how industrious he is. 658 00:35:32,120 --> 00:35:34,640 Speaker 1: And even as an old man in Paris, he's marketing 659 00:35:34,640 --> 00:35:37,880 Speaker 1: the United States he's wearing a coonskin coat and a 660 00:35:38,040 --> 00:35:41,080 Speaker 1: fur hat, which you know he had never been off 661 00:35:41,120 --> 00:35:43,840 Speaker 1: of Market Street in Philadelphia or Craven Street in London. 662 00:35:44,080 --> 00:35:47,520 Speaker 1: But he wants to be the backwoodsman. And Leonardo was 663 00:35:47,560 --> 00:35:50,440 Speaker 1: the master at it too. I mean, the best piece 664 00:35:50,480 --> 00:35:53,359 Speaker 1: of marketing for who you are, what you do, and 665 00:35:53,400 --> 00:35:55,960 Speaker 1: what you look like and how you fit in is 666 00:35:56,120 --> 00:36:00,239 Speaker 1: Patruvian man. That Leonardo drawing of a nude guy, the 667 00:36:00,320 --> 00:36:02,560 Speaker 1: jumping jack's in the circle in the square. It's a 668 00:36:02,640 --> 00:36:06,840 Speaker 1: self portrait and it's almost Leonardo saying, here's our essence. 669 00:36:07,280 --> 00:36:09,239 Speaker 1: So they all have a mission, and they all had 670 00:36:09,280 --> 00:36:11,560 Speaker 1: a purpose which drove them. They had a couple of things. 671 00:36:11,560 --> 00:36:14,399 Speaker 1: The mission was that they were curious about everything, which 672 00:36:14,440 --> 00:36:17,400 Speaker 1: is I say, why it reflects my own curiosity. And 673 00:36:17,400 --> 00:36:19,680 Speaker 1: they love to stand at the intersection of the arts 674 00:36:19,680 --> 00:36:23,759 Speaker 1: and sciences. When Steve Jobs launched a product, the last 675 00:36:23,800 --> 00:36:26,279 Speaker 1: slide on the screen would always be street signs of 676 00:36:26,360 --> 00:36:30,279 Speaker 1: the arts and technology. He said, you stand at that intersection, 677 00:36:30,760 --> 00:36:33,319 Speaker 1: that's where creativity occurs. And he's the one who said 678 00:36:33,320 --> 00:36:36,600 Speaker 1: the ultimate in doing that was Leonardo da Vinci. Because 679 00:36:36,680 --> 00:36:39,800 Speaker 1: Leonardo is an engineer as much as he's an artist. 680 00:36:40,160 --> 00:36:42,839 Speaker 1: He calls himself the engineer, an artist to the Duke 681 00:36:42,880 --> 00:36:46,520 Speaker 1: of Milan, and that's when he draws Vitruvian Man, which 682 00:36:46,600 --> 00:36:48,520 Speaker 1: is not just a work of art, it's a work 683 00:36:48,520 --> 00:36:51,919 Speaker 1: of engineering and spirituality. What life lessons do you see 684 00:36:51,960 --> 00:36:56,160 Speaker 1: emerging from an examination of these greats. I think that 685 00:36:56,239 --> 00:36:59,600 Speaker 1: you should try to stand at the intersection of many disciplines, 686 00:37:00,400 --> 00:37:05,160 Speaker 1: that people who can see across disciplines see the patterns 687 00:37:05,160 --> 00:37:08,040 Speaker 1: of nature and tend to be more creative. That is 688 00:37:08,040 --> 00:37:11,520 Speaker 1: not just about the engineering. Where's about the beauty. Steve 689 00:37:11,600 --> 00:37:14,480 Speaker 1: Jobs taught us a simple two word lesson, which is 690 00:37:14,680 --> 00:37:18,120 Speaker 1: beauty matters. And he did it because he took calligraphy 691 00:37:18,160 --> 00:37:21,960 Speaker 1: and dance and art and poetry at read whereas Bill Gates, 692 00:37:22,000 --> 00:37:26,440 Speaker 1: who's much morder. You know, greater computer scientists, only took 693 00:37:26,480 --> 00:37:30,080 Speaker 1: applied bath. So I think that lesson is to love 694 00:37:30,160 --> 00:37:33,400 Speaker 1: the arts and the sciences. When you ran the Aspen Institute, 695 00:37:33,600 --> 00:37:36,880 Speaker 1: you created the now iconic Aspen Ideas Festival. What was 696 00:37:36,960 --> 00:37:40,000 Speaker 1: motivation for that? Part of it was in the digital aid. 697 00:37:40,080 --> 00:37:43,640 Speaker 1: We were all getting our ideas electronically. We were all 698 00:37:43,880 --> 00:37:46,759 Speaker 1: part of communities, but they were virtual. We all had 699 00:37:46,840 --> 00:37:51,080 Speaker 1: Facebook friends that we all debated things on Twitter, and 700 00:37:51,280 --> 00:37:55,280 Speaker 1: I felt a hunger and a need that people should 701 00:37:55,280 --> 00:37:58,000 Speaker 1: get together every now and then. That the blood pressure 702 00:37:58,080 --> 00:38:00,560 Speaker 1: lowers a bit and the hair quick it's going on 703 00:38:00,640 --> 00:38:03,600 Speaker 1: fire when you're sitting in a room and it maybe 704 00:38:03,640 --> 00:38:06,720 Speaker 1: Dick Cheney there and you know John Carey or something, 705 00:38:07,280 --> 00:38:11,000 Speaker 1: but you're listening to people in the flesh. I think 706 00:38:11,040 --> 00:38:13,080 Speaker 1: that's one of the things we had lost in the 707 00:38:13,120 --> 00:38:17,040 Speaker 1: digital age. Also, we had lost that ability to just 708 00:38:17,120 --> 00:38:21,080 Speaker 1: be open minded and curious. The idea Assescil was just that, 709 00:38:21,480 --> 00:38:24,520 Speaker 1: let me tell you about Christopher gene editing technology, but 710 00:38:24,640 --> 00:38:28,520 Speaker 1: also about how France is dealing with labor issues, or 711 00:38:28,600 --> 00:38:33,400 Speaker 1: whether the universe is expanding, or what type of tax 712 00:38:33,800 --> 00:38:37,399 Speaker 1: might be you know, Elizabeth Warren's new idea and so 713 00:38:37,480 --> 00:38:40,560 Speaker 1: as for people who just wanted to hear ideas, and 714 00:38:40,600 --> 00:38:42,359 Speaker 1: I think there's a hunger for that as well. That's 715 00:38:42,360 --> 00:38:45,320 Speaker 1: what podcasts are. Well. The last ten or fifteen years, 716 00:38:46,000 --> 00:38:49,520 Speaker 1: you've seen a squelching of dissenting opinions no matter where 717 00:38:49,600 --> 00:38:52,040 Speaker 1: you are. It's almost as if people don't want to 718 00:38:52,080 --> 00:38:55,840 Speaker 1: hear the other opinion and study them. It aspen institutes 719 00:38:55,920 --> 00:38:59,360 Speaker 1: you brought people together who were often polar opposites and 720 00:38:59,400 --> 00:39:02,800 Speaker 1: you managed to get them together. Is this lost to 721 00:39:02,880 --> 00:39:05,360 Speaker 1: us forever? Are we going through? Just we're going to 722 00:39:05,440 --> 00:39:07,560 Speaker 1: a phase. We're going to a really bad phase. It's 723 00:39:07,600 --> 00:39:09,640 Speaker 1: getting worse and worse. I mean, we never used to 724 00:39:09,680 --> 00:39:12,839 Speaker 1: have it where the parties would deeply polarized on pure 725 00:39:12,880 --> 00:39:15,600 Speaker 1: ideological lines. It used to be you could have liberal 726 00:39:15,760 --> 00:39:19,600 Speaker 1: Republicans and you've got conservative Democrats, and people put together 727 00:39:19,640 --> 00:39:24,080 Speaker 1: civil rights bills. By getting coalitions, we become much more polarized. 728 00:39:24,280 --> 00:39:26,640 Speaker 1: And as partly our media, because we each go to 729 00:39:26,719 --> 00:39:29,240 Speaker 1: our end of the talk radio dial to be yelled 730 00:39:29,280 --> 00:39:31,960 Speaker 1: at by our favorite talk radio hosts, or we go 731 00:39:32,040 --> 00:39:34,560 Speaker 1: to our cable news station that we like the most, 732 00:39:34,600 --> 00:39:37,879 Speaker 1: and we find parts of the blogosphere. Well, we get 733 00:39:37,920 --> 00:39:41,800 Speaker 1: our opinions reinforced. And so that's why having people together 734 00:39:42,040 --> 00:39:45,640 Speaker 1: face to face often allows you to get out of 735 00:39:45,680 --> 00:39:48,200 Speaker 1: that bubble that you're allowed to be in in the 736 00:39:48,280 --> 00:39:51,080 Speaker 1: virtual world. Do you think there are other forums emerging 737 00:39:51,640 --> 00:39:56,200 Speaker 1: to pull opinions together as opposed to shut them off. No, 738 00:39:56,440 --> 00:39:59,040 Speaker 1: I think that's what we're lacking right now. I tell 739 00:39:59,080 --> 00:40:03,839 Speaker 1: my students that too. Lane Zuckerberg invented Facebook to connect us, 740 00:40:04,440 --> 00:40:06,680 Speaker 1: to make us all understand each other better and to 741 00:40:06,760 --> 00:40:09,920 Speaker 1: be connected, and likewise Twitter we're supposed to do. Then 742 00:40:10,000 --> 00:40:13,680 Speaker 1: some of the other ones they failed miserably in the end, 743 00:40:13,719 --> 00:40:16,479 Speaker 1: the algorithms and scented people to get into their own 744 00:40:16,520 --> 00:40:20,319 Speaker 1: corners and share enraged information to each other. And that's 745 00:40:20,360 --> 00:40:24,200 Speaker 1: why I think social media has ended up being more 746 00:40:24,239 --> 00:40:28,120 Speaker 1: polarizing than connecting. And I say to my students, Okay, 747 00:40:28,120 --> 00:40:31,719 Speaker 1: why is it the anonymity that does it? Is that 748 00:40:32,080 --> 00:40:34,839 Speaker 1: the algorithms said, oh, you just said this. You might 749 00:40:34,960 --> 00:40:38,400 Speaker 1: like following Hugh Hewitt, or you might like Bob Pittman's podcast, 750 00:40:38,800 --> 00:40:42,040 Speaker 1: in which the algorithms almost push you to hear more 751 00:40:42,280 --> 00:40:46,600 Speaker 1: of what you apparently like. And so my final challenge 752 00:40:46,640 --> 00:40:48,320 Speaker 1: to them at the end of the course, which is 753 00:40:48,360 --> 00:40:50,759 Speaker 1: of course, on the digital revolution, is how would you 754 00:40:50,840 --> 00:40:54,120 Speaker 1: invent a social network that actually healed and brought us 755 00:40:54,160 --> 00:40:58,040 Speaker 1: together as opposed to divide us the way social networks do. Now, 756 00:40:58,520 --> 00:41:01,800 Speaker 1: So what would history see just it's going to happen 757 00:41:02,200 --> 00:41:04,480 Speaker 1: to pull us back together? Or does this keep going? 758 00:41:05,080 --> 00:41:09,040 Speaker 1: Einstein once said when he watched the McCarthy era happened 759 00:41:09,440 --> 00:41:12,319 Speaker 1: in which people are like his friend Jay Robert Oppenheimer, 760 00:41:12,320 --> 00:41:14,399 Speaker 1: were being accused of being communist. He said, I've seen 761 00:41:14,400 --> 00:41:16,319 Speaker 1: this before. I saw it when the Nazis took over 762 00:41:16,360 --> 00:41:19,040 Speaker 1: in Germany. So when the Communists took over, America is 763 00:41:19,040 --> 00:41:22,600 Speaker 1: about to go off the cliff. And then Edward Armorrow, 764 00:41:23,239 --> 00:41:26,719 Speaker 1: Dwight Eisenhower, a whole lot of people knock McCarthy off 765 00:41:26,719 --> 00:41:29,759 Speaker 1: the stage, and Einstein writes to his son, you know, 766 00:41:29,800 --> 00:41:33,880 Speaker 1: America democracy has a weird gyroscope in it. When you 767 00:41:33,880 --> 00:41:36,560 Speaker 1: think it's gonna fall over, it rights itself. So I 768 00:41:36,600 --> 00:41:39,920 Speaker 1: think it will take people like the Edward Lmorrows and 769 00:41:39,960 --> 00:41:43,480 Speaker 1: the Dwight Eisenhower's to say I'm not just there to 770 00:41:43,480 --> 00:41:46,759 Speaker 1: win my primary or to win ratings, but I'm there 771 00:41:46,760 --> 00:41:50,640 Speaker 1: playing for history. In the end, the enemy is us, 772 00:41:50,840 --> 00:41:56,319 Speaker 1: meaning unless we as people as a nation want high 773 00:41:56,440 --> 00:41:59,880 Speaker 1: value information and want to be open minded, then the 774 00:42:00,000 --> 00:42:04,000 Speaker 1: people who are politicians and our media stars, they're not 775 00:42:04,040 --> 00:42:07,920 Speaker 1: gonna be that way. We'll get them media and we'll 776 00:42:07,920 --> 00:42:10,320 Speaker 1: get the politicians we deserve. So we all have to 777 00:42:10,320 --> 00:42:12,880 Speaker 1: wake up each morning and say what can I do 778 00:42:13,360 --> 00:42:15,759 Speaker 1: to be just a little bit more embracive, a little 779 00:42:15,800 --> 00:42:19,200 Speaker 1: bit more tolerant to help bring people together. I think 780 00:42:19,239 --> 00:42:22,120 Speaker 1: it's starting at a community level. I moved out of 781 00:42:22,120 --> 00:42:24,040 Speaker 1: Washington three or four years ago. I said, man, this 782 00:42:24,480 --> 00:42:29,439 Speaker 1: divisiveness is getting brutal. Our country will build back its 783 00:42:29,440 --> 00:42:33,560 Speaker 1: civic spirit from the bottom up, meaning city by city, 784 00:42:33,600 --> 00:42:36,080 Speaker 1: town by town, which is why I moved back here 785 00:42:36,280 --> 00:42:38,680 Speaker 1: and have tried to get involved in the politics here. 786 00:42:39,040 --> 00:42:43,000 Speaker 1: One more scary topic is tech destroying more jobs than 787 00:42:43,040 --> 00:42:46,480 Speaker 1: it's creating. Now. Tech never has done that ever since 788 00:42:46,560 --> 00:42:49,520 Speaker 1: Ada Lovelace came up with the first computer algorithm. Her 789 00:42:49,520 --> 00:42:53,480 Speaker 1: father was Lord Byron, who was a lot I literally 790 00:42:53,600 --> 00:42:56,000 Speaker 1: because his only speech in the House of Lord was 791 00:42:56,040 --> 00:42:58,719 Speaker 1: defending the followers of Ned Lad, who thought that the 792 00:42:58,760 --> 00:43:02,759 Speaker 1: weaving machines using punch cards that made these patterns would 793 00:43:02,800 --> 00:43:05,920 Speaker 1: put weavers out of work, and therefore they were smashing 794 00:43:06,400 --> 00:43:10,000 Speaker 1: the mechanical looms. They were wrong. The mechanical looms do 795 00:43:10,120 --> 00:43:13,880 Speaker 1: find there's about a hundred times greater number of jobs 796 00:43:13,920 --> 00:43:16,600 Speaker 1: in the fashion and textile industry at the beginning of 797 00:43:16,680 --> 00:43:19,400 Speaker 1: nineteen than there were in eighteen forty when Lad was 798 00:43:19,440 --> 00:43:25,520 Speaker 1: smashing them. I think technology increases productivity by definition, and 799 00:43:25,600 --> 00:43:30,680 Speaker 1: if you increase productivity you'll have more demand for more things. 800 00:43:30,840 --> 00:43:34,720 Speaker 1: Who would have thought there would be a demand for podcasts. 801 00:43:34,960 --> 00:43:36,719 Speaker 1: We did not know when you asked me to go 802 00:43:36,760 --> 00:43:41,400 Speaker 1: back to that there would be a demand for people 803 00:43:41,480 --> 00:43:44,760 Speaker 1: to make services that you could do on mobile phones. 804 00:43:45,200 --> 00:43:48,040 Speaker 1: And people would say, Okay, I'm gonna make a food 805 00:43:48,120 --> 00:43:50,520 Speaker 1: delivery service, or I'm gonna make a car service, or 806 00:43:50,520 --> 00:43:54,960 Speaker 1: I'm gonna make a share your house service. These are 807 00:43:54,960 --> 00:43:58,800 Speaker 1: the jobs we didn't know would exist. And I'm clueless 808 00:43:58,840 --> 00:44:01,000 Speaker 1: about what jobs are going to be twenty years from now, 809 00:44:01,200 --> 00:44:03,560 Speaker 1: but I tell my students, don't worry. There will be 810 00:44:03,640 --> 00:44:05,839 Speaker 1: new jobs, and it will go to the people who 811 00:44:05,880 --> 00:44:09,840 Speaker 1: are creative and open minded and curious, not just people 812 00:44:09,840 --> 00:44:11,799 Speaker 1: who have just learned how to code. Let's go to 813 00:44:11,840 --> 00:44:16,200 Speaker 1: Walter today, how's the life of a college professor? It's good. 814 00:44:16,239 --> 00:44:18,719 Speaker 1: I mean, I love two Lane because the students are 815 00:44:18,800 --> 00:44:21,920 Speaker 1: not the way you said many students are on campus 816 00:44:22,280 --> 00:44:25,760 Speaker 1: where they get closed minded and they're always curious about something. 817 00:44:26,200 --> 00:44:29,960 Speaker 1: The students at two Lane seem to have a earnest curiosity, 818 00:44:30,160 --> 00:44:32,560 Speaker 1: So I love that part of it. I love being 819 00:44:32,600 --> 00:44:35,759 Speaker 1: involved in the community. We end each episode with our 820 00:44:35,760 --> 00:44:38,680 Speaker 1: shoutouts to the people who have made a contribution to 821 00:44:38,719 --> 00:44:42,239 Speaker 1: marketing on the math side and the creative side. You've 822 00:44:42,280 --> 00:44:46,040 Speaker 1: studied and met the best who is the greatest analytics 823 00:44:46,040 --> 00:44:49,120 Speaker 1: person the math side of marketing and business? And then 824 00:44:49,239 --> 00:44:53,920 Speaker 1: Bill Gates ctually understood that software ward rule and was 825 00:44:54,080 --> 00:44:59,680 Speaker 1: able when he created the original Doss operating system to 826 00:44:59,800 --> 00:45:03,440 Speaker 1: make the hardware manufacturers use it. But then he would 827 00:45:03,440 --> 00:45:06,080 Speaker 1: study how it was being used because nothing, with all 828 00:45:06,160 --> 00:45:08,319 Speaker 1: due respect to Microsoft, that they make at first the 829 00:45:08,360 --> 00:45:11,160 Speaker 1: one point, others are never very good. But he really 830 00:45:11,440 --> 00:45:14,920 Speaker 1: is good at gathering data and improving the product. So 831 00:45:14,960 --> 00:45:18,640 Speaker 1: who is the greatest creative The magician ste of course 832 00:45:18,719 --> 00:45:20,960 Speaker 1: has the course. And the interesting thing is he and 833 00:45:20,960 --> 00:45:23,760 Speaker 1: Bill Gates are both born the same, you know, nineteen 834 00:45:23,840 --> 00:45:28,000 Speaker 1: fifty five. They're like twin stars in the universe there 835 00:45:28,040 --> 00:45:31,279 Speaker 1: captured by each other's gravitational field. And one was the 836 00:45:31,280 --> 00:45:34,239 Speaker 1: most creative and one was the most analytic person. And 837 00:45:34,280 --> 00:45:38,040 Speaker 1: by spending together they create the computer revolution, perfect for 838 00:45:38,120 --> 00:45:41,200 Speaker 1: math and magic. Walter, You've got a perspective no one does. 839 00:45:41,600 --> 00:45:45,040 Speaker 1: Thanks for sharing it, Thank you, Bob. Here are a 840 00:45:45,040 --> 00:45:47,360 Speaker 1: few things I picked up for my conversation with Walter. 841 00:45:47,800 --> 00:45:50,880 Speaker 1: One While Walter thinks it's useful to learn to code, 842 00:45:51,160 --> 00:45:53,640 Speaker 1: he believes it's more useful to learn to think creatively 843 00:45:53,800 --> 00:45:56,759 Speaker 1: and conceptually. That's one skill, as he puts it, that 844 00:45:56,840 --> 00:45:59,719 Speaker 1: will always be in the band. Two. Walter is a 845 00:45:59,719 --> 00:46:03,160 Speaker 1: big opponent of multiple revenue streams. Being too focused on 846 00:46:03,200 --> 00:46:07,040 Speaker 1: ad revenue can make you lose touch with your consumers. Three. 847 00:46:07,520 --> 00:46:11,520 Speaker 1: Talented creatives don't always make the best executives. While Walter 848 00:46:11,680 --> 00:46:14,239 Speaker 1: was a remarkable executive, he says he would rather have 849 00:46:14,280 --> 00:46:17,480 Speaker 1: a spart manager manage him so he can stick to 850 00:46:17,520 --> 00:46:20,560 Speaker 1: doing what he truly thinks he's good at, or be 851 00:46:20,719 --> 00:46:24,680 Speaker 1: curious and a field like journalism. Walter says curiosity is 852 00:46:24,680 --> 00:46:29,000 Speaker 1: more important than mastering anyone's skill. Thanks for listening. I'm 853 00:46:29,040 --> 00:46:34,000 Speaker 1: Bob Pittman. That's it for today's episode. Thanks so much 854 00:46:34,000 --> 00:46:36,239 Speaker 1: for listening to Math and Magic, a production of I 855 00:46:36,360 --> 00:46:39,760 Speaker 1: Heart Radio. This show is hosted by Bob Pittman. Special 856 00:46:39,800 --> 00:46:42,920 Speaker 1: thanks to Sue Schillinger for booking and wrangling our wonderful talent, 857 00:46:42,960 --> 00:46:47,080 Speaker 1: which is no small feat Nikkiatore for pulling research bill plaques, 858 00:46:47,160 --> 00:46:50,560 Speaker 1: and Michael Asar for their recording help, our editor Ryan Murdoch, 859 00:46:50,680 --> 00:46:54,279 Speaker 1: and of course Gayl Raoul Eric Angel, Noel Mango, and 860 00:46:54,360 --> 00:46:57,400 Speaker 1: everyone who helped bring this show to your ears. Until 861 00:46:57,440 --> 00:46:57,919 Speaker 1: next time,