1 00:00:01,680 --> 00:00:04,800 Speaker 1: You're listening to Math and Magic, a production. I heart 2 00:00:04,880 --> 00:00:10,560 Speaker 1: radio when I got into banking, and I realized, these 3 00:00:10,560 --> 00:00:12,400 Speaker 1: guys every day are kind of going through the New 4 00:00:12,480 --> 00:00:15,440 Speaker 1: York Post or they're reading Time Out or Zagas, and 5 00:00:15,440 --> 00:00:18,680 Speaker 1: they need to take their clients hot restaurants. My girlfriends 6 00:00:18,680 --> 00:00:21,560 Speaker 1: at the time worked in PR. I obviously knew people, 7 00:00:21,720 --> 00:00:23,960 Speaker 1: you know, in the nightclub and restaurant industry because it's 8 00:00:23,960 --> 00:00:26,000 Speaker 1: what young people do in New York. And I would 9 00:00:26,040 --> 00:00:28,760 Speaker 1: just book a table, and I convinced the guys that 10 00:00:28,800 --> 00:00:30,840 Speaker 1: I worked with, oh, in order for you to get 11 00:00:30,920 --> 00:00:32,360 Speaker 1: that table, I'm gonna have to go, You're gonna have 12 00:00:32,360 --> 00:00:34,400 Speaker 1: to have a girl at the table. And I hustled 13 00:00:34,400 --> 00:00:37,040 Speaker 1: my way in and it ended up being a huge 14 00:00:37,159 --> 00:00:40,040 Speaker 1: win for me because there I was three four nights 15 00:00:40,040 --> 00:00:43,159 Speaker 1: a week, out to dinner for two and three hours 16 00:00:43,360 --> 00:00:45,239 Speaker 1: with all the people on my desk, all of their 17 00:00:45,240 --> 00:00:48,240 Speaker 1: big clients. And that's how I built relationships and trust 18 00:00:48,320 --> 00:00:53,479 Speaker 1: and really how I built my career. I'm Bob Pittman, 19 00:00:53,560 --> 00:00:56,640 Speaker 1: and welcome to Math and Magic Stories from the Frontiers 20 00:00:56,680 --> 00:00:59,640 Speaker 1: and Marketing. As we explore the stories from marketing and 21 00:00:59,720 --> 00:01:02,160 Speaker 1: busin this one of the most important components to Greek 22 00:01:02,200 --> 00:01:07,240 Speaker 1: business decisions, is good information garbagegen garbage owl. The term 23 00:01:07,319 --> 00:01:10,640 Speaker 1: coined by early computer programmers and still a basic tenantive 24 00:01:10,640 --> 00:01:14,560 Speaker 1: computer science applies to our business decisions as well. Hard 25 00:01:14,600 --> 00:01:17,680 Speaker 1: to make a good decision with bad information. Today, we 26 00:01:17,800 --> 00:01:21,080 Speaker 1: have someone who lives in this world of information and news. 27 00:01:21,560 --> 00:01:25,320 Speaker 1: She's Stephanie Rule, hosted The Eleventh Hour on MSNBC and 28 00:01:25,400 --> 00:01:33,240 Speaker 1: also senior business analysts for NBC. Neeters a Christmas Eve 29 00:01:33,280 --> 00:01:37,120 Speaker 1: baby who fits most of the Capricorn characteristics. Stephanie was 30 00:01:37,200 --> 00:01:40,520 Speaker 1: a child of the seventies, eighties and early nineties. She 31 00:01:40,760 --> 00:01:43,840 Speaker 1: lived and studied abroad during much of her college, started 32 00:01:43,880 --> 00:01:45,640 Speaker 1: out in a career in finance, and even though she 33 00:01:45,800 --> 00:01:48,639 Speaker 1: was a big success on a fast track, she jumped 34 00:01:48,680 --> 00:01:51,720 Speaker 1: to media at Bloomberg Television in two thousand and eleven. 35 00:01:52,120 --> 00:01:54,440 Speaker 1: She's been a part of NBC News since two thousand 36 00:01:54,520 --> 00:01:57,960 Speaker 1: sixteen and has never looked back. She's smart, she's caring, 37 00:01:58,360 --> 00:02:02,000 Speaker 1: and she's always in sight. Well, Stephanie, welcome. I am 38 00:02:02,240 --> 00:02:04,400 Speaker 1: so grateful to be here and grateful to talk to you. 39 00:02:04,600 --> 00:02:07,720 Speaker 1: Before we dive in everything, I want to warm up 40 00:02:07,960 --> 00:02:11,079 Speaker 1: with you in sixty seconds. Are you ready? Yeah, do 41 00:02:11,200 --> 00:02:15,200 Speaker 1: you prefer salty or sweet? Salty? Early bird or night owl? 42 00:02:15,720 --> 00:02:18,880 Speaker 1: Night o? Trading floor of the TV studio is the 43 00:02:19,000 --> 00:02:22,360 Speaker 1: same room because nobody realizes in New York or New Jersey. 44 00:02:24,320 --> 00:02:27,519 Speaker 1: My heart is in New Jersey, but my soul is 45 00:02:27,560 --> 00:02:31,480 Speaker 1: in New York. Introvert or extrovert extrovert, Slow and steady 46 00:02:31,600 --> 00:02:34,600 Speaker 1: or pedal to the metal, Pedal to the metal, But man, 47 00:02:34,680 --> 00:02:36,959 Speaker 1: I wish I was slow and steady. Comedy or drama? 48 00:02:37,480 --> 00:02:40,480 Speaker 1: A little bit of both? Cats or dogs. There's no 49 00:02:40,639 --> 00:02:46,200 Speaker 1: question dogs all day. Life work balance or life work integration, 50 00:02:46,800 --> 00:02:52,960 Speaker 1: Life work integration absolutely, First concert, Meat, childhood Hero, My Grandmother, 51 00:02:53,200 --> 00:02:56,160 Speaker 1: and Miss Pig. Favorite news anchor from Before your Time, 52 00:02:56,560 --> 00:03:00,160 Speaker 1: Tom Broke, claw by a mile, Favorite newspaper in New 53 00:03:00,200 --> 00:03:06,079 Speaker 1: York Time, favorite podcast, First Computer Commodore takes before This 54 00:03:06,280 --> 00:03:11,799 Speaker 1: is the best one. Guilty pleasure, Guilty pleasure, guilty pleasure. 55 00:03:12,080 --> 00:03:16,960 Speaker 1: Eating in bed while watching TV sounds good. Okay, we're 56 00:03:17,000 --> 00:03:19,880 Speaker 1: warmed up. Let's jump in. I'm gonna start with a 57 00:03:19,919 --> 00:03:23,760 Speaker 1: big topic news. There are two schools of thought today. 58 00:03:24,160 --> 00:03:27,560 Speaker 1: Collect all the relevant information about important stories and then 59 00:03:27,639 --> 00:03:31,440 Speaker 1: give the viewers, listeners or readers all the information without 60 00:03:31,560 --> 00:03:35,040 Speaker 1: bias or twisting to any one point of view. When 61 00:03:35,080 --> 00:03:38,120 Speaker 1: Walter Isaacson was on, he talked about in his days 62 00:03:38,200 --> 00:03:41,480 Speaker 1: at Time and CNN, he wouldn't even vote because he 63 00:03:41,600 --> 00:03:45,800 Speaker 1: was worried just by deciding who to select, he would 64 00:03:45,840 --> 00:03:48,200 Speaker 1: have a bias and it would influence his coverage. The 65 00:03:48,240 --> 00:03:50,080 Speaker 1: other school of thought, of course, is to serve a 66 00:03:50,160 --> 00:03:53,720 Speaker 1: particular group and reflect their views and the news tailoring 67 00:03:53,800 --> 00:03:56,000 Speaker 1: it for them for their point of view or beliefs, 68 00:03:56,040 --> 00:03:59,680 Speaker 1: not necessarily biased, but covering it from that angle. Clearly, 69 00:03:59,760 --> 00:04:03,000 Speaker 1: the ladder today gets a bigger audience and out supported 70 00:04:03,080 --> 00:04:06,360 Speaker 1: media lives on the sale of advertising, so that's important. 71 00:04:06,840 --> 00:04:08,480 Speaker 1: Where do you come down on this and how do 72 00:04:08,600 --> 00:04:11,040 Speaker 1: you see the current state of news in the US. 73 00:04:11,840 --> 00:04:13,840 Speaker 1: I think it's sort of in the middle. I think 74 00:04:13,960 --> 00:04:19,280 Speaker 1: sort of this merely providing information is limited and it's 75 00:04:19,360 --> 00:04:22,880 Speaker 1: not necessarily what people need from news organizations because you 76 00:04:23,000 --> 00:04:27,560 Speaker 1: can get basic information from a lot of places. I 77 00:04:27,680 --> 00:04:31,760 Speaker 1: wish it was clearer who's providing said basic information. But 78 00:04:31,880 --> 00:04:34,720 Speaker 1: I think there's something more than just straight news that 79 00:04:34,839 --> 00:04:37,680 Speaker 1: doesn't take you all the way to bias, and that 80 00:04:37,920 --> 00:04:42,279 Speaker 1: to me is insightful perspective. Right, you mentioned Walter Isaacson. 81 00:04:42,720 --> 00:04:46,279 Speaker 1: If Walter Isaacson were to come on television in conjunction 82 00:04:46,360 --> 00:04:50,040 Speaker 1: with a news story or a presidential historian, let's say 83 00:04:50,040 --> 00:04:53,240 Speaker 1: a Michael Beschloss, they're not coming on and giving a 84 00:04:53,360 --> 00:04:57,120 Speaker 1: deep bias. They don't have deep ideology that they're going 85 00:04:57,200 --> 00:04:59,640 Speaker 1: to solve for at the end of any story. But 86 00:04:59,800 --> 00:05:04,800 Speaker 1: with they can do is give insightful, educated perspective. And 87 00:05:04,920 --> 00:05:07,280 Speaker 1: I want that with my news. I want to watch 88 00:05:07,440 --> 00:05:11,520 Speaker 1: television where I understand, here's the information out there, here's 89 00:05:11,560 --> 00:05:13,840 Speaker 1: the story that's happening on the other side of the world. 90 00:05:14,440 --> 00:05:17,320 Speaker 1: And then the second feet is here's why it matters 91 00:05:17,440 --> 00:05:21,320 Speaker 1: to you. Here's what this means historically. Let's put it 92 00:05:21,440 --> 00:05:25,240 Speaker 1: in perspective, and to say we cater to our audience, 93 00:05:25,880 --> 00:05:28,320 Speaker 1: that's different. That's not news. Right. So when I think 94 00:05:28,360 --> 00:05:31,840 Speaker 1: back to my grandparents, my grandparents were religious listeners of 95 00:05:31,960 --> 00:05:34,200 Speaker 1: someone who I know you knew very well, Rush Limbaugh. 96 00:05:34,600 --> 00:05:37,839 Speaker 1: They loved Rush Limbach because Rush Limbaugh was a radio 97 00:05:38,000 --> 00:05:42,680 Speaker 1: personality who shared some of their political ideology. But they 98 00:05:42,720 --> 00:05:45,359 Speaker 1: didn't turn to Rush Limbaugh to get their news. They 99 00:05:45,400 --> 00:05:48,560 Speaker 1: turned to Walter Cronkite. Those are two different things. I 100 00:05:48,600 --> 00:05:51,920 Speaker 1: think those are two valuable things that exist in news 101 00:05:52,120 --> 00:05:55,960 Speaker 1: and entertainment and opinion, but they should be marked what 102 00:05:56,120 --> 00:05:59,280 Speaker 1: they are and audiences should understand what they are. I 103 00:05:59,400 --> 00:06:03,200 Speaker 1: don't have have a deep ideology, and my hope is 104 00:06:03,680 --> 00:06:05,560 Speaker 1: I want the world to get better and smarter. I 105 00:06:05,600 --> 00:06:08,280 Speaker 1: want to create content that helps people do that. I 106 00:06:08,360 --> 00:06:10,560 Speaker 1: want the world that I had my kids to be 107 00:06:10,680 --> 00:06:14,240 Speaker 1: better than the world I received. How does social fit 108 00:06:14,320 --> 00:06:16,880 Speaker 1: into all this. I've been struck by a staff that 109 00:06:16,920 --> 00:06:20,920 Speaker 1: about fifteen percent of America is far left or far right, 110 00:06:21,520 --> 00:06:24,800 Speaker 1: but eighty percent of the messages over social come from 111 00:06:24,839 --> 00:06:28,760 Speaker 1: the per cent. How does that fit into a human 112 00:06:29,040 --> 00:06:32,760 Speaker 1: in the United States getting the news and understanding it. 113 00:06:33,120 --> 00:06:35,160 Speaker 1: You know, when I really started thinking about the impact 114 00:06:35,200 --> 00:06:38,840 Speaker 1: of social during COVID, before I was working from home, 115 00:06:38,880 --> 00:06:42,120 Speaker 1: when I was sitting in a newsroom, I felt like 116 00:06:42,360 --> 00:06:45,560 Speaker 1: social was so tied to sort of the zeitgeist of America, 117 00:06:45,640 --> 00:06:48,120 Speaker 1: how people felt, what they thought, what they were doing. 118 00:06:49,080 --> 00:06:51,680 Speaker 1: And then COVID hit and I was living in a 119 00:06:51,839 --> 00:06:55,279 Speaker 1: keeny tiny island in New Jersey, and I was around 120 00:06:55,560 --> 00:06:58,640 Speaker 1: my neighbors and small business owners, and I realized how 121 00:06:58,880 --> 00:07:03,120 Speaker 1: keeny tiny a portion of us are actually on social 122 00:07:03,440 --> 00:07:06,920 Speaker 1: tweeting following things, and it got me thinking more and 123 00:07:07,040 --> 00:07:10,560 Speaker 1: more how twisted social media is and how it does 124 00:07:10,720 --> 00:07:13,120 Speaker 1: impact what we say and how we think. And the 125 00:07:13,200 --> 00:07:15,960 Speaker 1: truth is, we don't even know who's behind half the 126 00:07:16,080 --> 00:07:18,760 Speaker 1: people that are tweeting. Let me ask you a question, Stephanie, 127 00:07:19,240 --> 00:07:22,400 Speaker 1: you just talked a little bit about the difference between 128 00:07:22,440 --> 00:07:26,160 Speaker 1: opinion and news when you're talking about Russian Walter Cronkite 129 00:07:26,680 --> 00:07:29,600 Speaker 1: in social do you think we have an issue of 130 00:07:30,160 --> 00:07:34,720 Speaker 1: understanding what is opinion and what is news and what 131 00:07:35,000 --> 00:07:38,440 Speaker 1: is paid for and what's not paid for. It's totally 132 00:07:38,720 --> 00:07:43,400 Speaker 1: unclear what's sponsored what's not sponsored. I might send something 133 00:07:43,440 --> 00:07:46,880 Speaker 1: out because I just think it's funny or goofy, and 134 00:07:46,960 --> 00:07:48,960 Speaker 1: what if it's wrong And what if I sent that 135 00:07:49,040 --> 00:07:51,160 Speaker 1: tweet at two o'clock in the morning on a Friday 136 00:07:51,480 --> 00:07:54,440 Speaker 1: and I didn't do my research. Well, there's me, Stephanie Rule, 137 00:07:54,480 --> 00:07:58,880 Speaker 1: who's viewed hopefully as a responsible journalist sending out nonsense. 138 00:07:59,480 --> 00:08:03,040 Speaker 1: Before so social media existed, I had a really carry 139 00:08:03,120 --> 00:08:05,040 Speaker 1: myself to a standard as somebody is part of a 140 00:08:05,080 --> 00:08:08,120 Speaker 1: news organization. And if I was saying or doing irresponsible things, 141 00:08:08,680 --> 00:08:11,040 Speaker 1: NBC could say to me, Hey, Steph, you do that, 142 00:08:11,360 --> 00:08:15,080 Speaker 1: you're off the air. Now You've got news quote unquote 143 00:08:15,200 --> 00:08:20,040 Speaker 1: personalities that consider themselves bigger than their news organizations, and 144 00:08:20,120 --> 00:08:23,720 Speaker 1: so they're saying and doing wild, irresponsible things, and their 145 00:08:23,760 --> 00:08:27,320 Speaker 1: news organizations can't control them. And so I think it's 146 00:08:27,560 --> 00:08:30,200 Speaker 1: very messy. I don't have an answer for it, but 147 00:08:30,320 --> 00:08:32,040 Speaker 1: I know it's not helpful. Well, let me ask you 148 00:08:32,200 --> 00:08:36,520 Speaker 1: another question on this. Bill Pailey, founder and legendary head 149 00:08:36,559 --> 00:08:41,520 Speaker 1: of CBS a lot of news as sort of nonprofit contribution. 150 00:08:41,920 --> 00:08:44,080 Speaker 1: The cynics might say he did it to keep Washington 151 00:08:44,160 --> 00:08:46,079 Speaker 1: out of his business. Others would say he did it 152 00:08:46,120 --> 00:08:49,320 Speaker 1: because he felt it was his duty. Our news organizations 153 00:08:49,440 --> 00:08:52,520 Speaker 1: better if they're part of big organization, so it's not 154 00:08:52,760 --> 00:08:55,719 Speaker 1: the whole business, but has a little more leeway in 155 00:08:55,880 --> 00:08:59,480 Speaker 1: terms of economics. Or does it not matter? Sure in theory, 156 00:09:00,040 --> 00:09:03,520 Speaker 1: should news organizations operate almost like a nonprofit, like a 157 00:09:03,600 --> 00:09:06,360 Speaker 1: public service. They should, But at the end of the day, 158 00:09:06,480 --> 00:09:11,599 Speaker 1: we're controlled by money, and the most talented people, the 159 00:09:11,679 --> 00:09:17,080 Speaker 1: most valuable resources are drawn to profit centers, not nonprofit 160 00:09:17,200 --> 00:09:21,599 Speaker 1: centers in a totally pure world. Bill Paley's right, we 161 00:09:21,679 --> 00:09:23,679 Speaker 1: just don't live in a pure world. Anymore. Do you 162 00:09:23,760 --> 00:09:27,839 Speaker 1: think the public's view of news organizations has changed? And 163 00:09:28,120 --> 00:09:31,319 Speaker 1: how do you think they see what you do? Of 164 00:09:31,440 --> 00:09:34,280 Speaker 1: course it has changed over time. But I would also 165 00:09:34,520 --> 00:09:38,160 Speaker 1: argue that because there are so many news outlets, because 166 00:09:38,240 --> 00:09:41,880 Speaker 1: the barriers of entry are so much lower today, I 167 00:09:41,960 --> 00:09:44,720 Speaker 1: actually think in many ways, the American public is better 168 00:09:44,840 --> 00:09:47,559 Speaker 1: than they've been before. Right, we keep thinking that, like, oh, 169 00:09:47,679 --> 00:09:49,440 Speaker 1: back in the day, when there was only a certain 170 00:09:49,480 --> 00:09:52,080 Speaker 1: amount of news organizations, you know, whether it was TV 171 00:09:52,200 --> 00:09:55,160 Speaker 1: news or radio news or newspapers, weren't we all the better? 172 00:09:55,960 --> 00:09:58,440 Speaker 1: I don't know that that's the case, back when there 173 00:09:58,480 --> 00:10:02,839 Speaker 1: were such difficult called barriers of entry. I wonder did 174 00:10:02,880 --> 00:10:05,439 Speaker 1: the whole truth ever get out back in the day. 175 00:10:05,679 --> 00:10:09,439 Speaker 1: Think about cylinders of power, Right, you had media, you 176 00:10:09,559 --> 00:10:13,040 Speaker 1: had government, you had business, you had the church. How 177 00:10:13,160 --> 00:10:16,559 Speaker 1: could anyone break through those cylinders of power? They couldn't. 178 00:10:17,080 --> 00:10:20,760 Speaker 1: They were impenetrable. Now, look at the state of Pennsylvania. 179 00:10:20,840 --> 00:10:24,760 Speaker 1: What was it fifteen years ago? Through tiny social media campaigns, 180 00:10:25,240 --> 00:10:28,880 Speaker 1: victims of sexual abuse in the Catholic Church found one another. 181 00:10:29,280 --> 00:10:31,760 Speaker 1: And what did that end up doing? Having a real 182 00:10:32,040 --> 00:10:35,679 Speaker 1: impact on the archdiotis of the state of Pennsylvania. That's huge. 183 00:10:36,520 --> 00:10:38,680 Speaker 1: Back in the day, what could someone do if something 184 00:10:38,760 --> 00:10:41,960 Speaker 1: corrupt was happening in their small town Write a letter 185 00:10:42,080 --> 00:10:45,760 Speaker 1: to their congress person. Good luck with that. Now one 186 00:10:45,880 --> 00:10:50,199 Speaker 1: person's tiny voice can have a huge impact because of 187 00:10:50,280 --> 00:10:53,160 Speaker 1: those social media channels, because the barriers of entry are 188 00:10:53,200 --> 00:10:57,199 Speaker 1: so much lower. That's extraordinary. Now is that dangerous in 189 00:10:57,320 --> 00:11:00,400 Speaker 1: terms of standards and legal and best practice is in 190 00:11:00,520 --> 00:11:03,960 Speaker 1: terms of news? Absolutely, and we've got to figure that out. Okay, 191 00:11:04,200 --> 00:11:06,439 Speaker 1: let's go back in time. Now. You grew up in 192 00:11:06,480 --> 00:11:09,760 Speaker 1: New Jersey, born in the mid seventies. Can you paint 193 00:11:09,840 --> 00:11:14,199 Speaker 1: the picture of those times that location in your family life. 194 00:11:15,160 --> 00:11:17,839 Speaker 1: I grew up in northern New Jersey. My dad was 195 00:11:17,920 --> 00:11:20,480 Speaker 1: a mechanical engineer and my mother was a state at 196 00:11:20,520 --> 00:11:23,400 Speaker 1: home mom, and she ran the p t A in 197 00:11:23,480 --> 00:11:25,960 Speaker 1: my hometown and the board of Education where I lived. 198 00:11:26,640 --> 00:11:29,679 Speaker 1: My mom devoted her whole life to my sister in 199 00:11:29,800 --> 00:11:33,720 Speaker 1: my my life, my success and something I can remember 200 00:11:33,760 --> 00:11:37,280 Speaker 1: from a very very young age, how I didn't respect 201 00:11:38,320 --> 00:11:41,599 Speaker 1: and I have so much regret over it now what 202 00:11:41,800 --> 00:11:44,920 Speaker 1: my mom did for a living, which was the most 203 00:11:45,000 --> 00:11:48,680 Speaker 1: important job, being a full time parent, and devoting herself 204 00:11:48,800 --> 00:11:51,640 Speaker 1: to my school system and improving my school system. I 205 00:11:51,800 --> 00:11:55,480 Speaker 1: viewed everything as the person who makes the money in 206 00:11:55,600 --> 00:11:59,160 Speaker 1: your house is the boss of your house. And I 207 00:11:59,240 --> 00:12:02,640 Speaker 1: can remember a little girl driving with my mom in 208 00:12:02,720 --> 00:12:04,800 Speaker 1: the car to drop my dad at the train station, 209 00:12:05,320 --> 00:12:07,160 Speaker 1: and my mom being in her pajamas and my dad 210 00:12:07,240 --> 00:12:09,120 Speaker 1: in a passenger seat and me sitting in the backseat. 211 00:12:09,160 --> 00:12:12,120 Speaker 1: And I can remember my dad getting on the train 212 00:12:12,240 --> 00:12:15,120 Speaker 1: every day and thinking to myself, I don't know where 213 00:12:15,200 --> 00:12:17,760 Speaker 1: he's going or what he's doing, but one day I'm 214 00:12:17,800 --> 00:12:20,120 Speaker 1: going to be the person on the train and I'm 215 00:12:20,120 --> 00:12:21,520 Speaker 1: not going to be the person in the car and 216 00:12:21,600 --> 00:12:25,120 Speaker 1: my pajamas. I mean, my mom pushed me very hard 217 00:12:25,240 --> 00:12:27,360 Speaker 1: from a young age to always have a job, to 218 00:12:27,440 --> 00:12:30,000 Speaker 1: be focused on my career, to be focused on success. 219 00:12:30,120 --> 00:12:33,560 Speaker 1: But it really wasn't until I myself became a mom 220 00:12:34,440 --> 00:12:38,880 Speaker 1: and really struggle with all of the difficulties of life 221 00:12:39,000 --> 00:12:43,120 Speaker 1: and marriage and parenthood and career that I truly understand 222 00:12:43,160 --> 00:12:46,520 Speaker 1: and I appreciate the importance of parenthood, and as a 223 00:12:46,600 --> 00:12:50,240 Speaker 1: working mom myself now how to appreciate those other mothers 224 00:12:50,280 --> 00:12:53,280 Speaker 1: and fathers out there who dedicate themselves to be full 225 00:12:53,320 --> 00:12:56,880 Speaker 1: time parents to improving school systems because I'm the beneficiary 226 00:12:57,000 --> 00:13:00,559 Speaker 1: of that. I read somewhere that you were a serious 227 00:13:00,679 --> 00:13:02,920 Speaker 1: kid that you would rather make money babysitting on a 228 00:13:02,960 --> 00:13:05,720 Speaker 1: Saturday night than going out to parties. That an accurate 229 00:13:05,800 --> 00:13:09,240 Speaker 1: story a hundred. I mean, I think if somebody met 230 00:13:09,320 --> 00:13:12,160 Speaker 1: me out on any Saturday night now in a wig 231 00:13:12,280 --> 00:13:14,520 Speaker 1: and a costume, and who knows what. I'm a pretty 232 00:13:14,559 --> 00:13:18,280 Speaker 1: extroverted person. I do love to party, but I've always 233 00:13:18,360 --> 00:13:22,040 Speaker 1: always been focused on making money because it's Freedom's not greed, 234 00:13:23,040 --> 00:13:25,719 Speaker 1: having your own money. And I knew that from when 235 00:13:25,760 --> 00:13:29,240 Speaker 1: I was nine ten years old. It gives you options. 236 00:13:29,320 --> 00:13:32,760 Speaker 1: Money certainly doesn't give you happiness, but it gives you options. Bob, 237 00:13:32,880 --> 00:13:36,679 Speaker 1: think about the industries where you see the most abuse 238 00:13:36,840 --> 00:13:40,000 Speaker 1: and the most harassment. It's in industries where women are 239 00:13:40,040 --> 00:13:43,280 Speaker 1: backed against the wall trying to make rent. And when 240 00:13:43,360 --> 00:13:45,320 Speaker 1: I was in the eighth grade, I met a family 241 00:13:45,679 --> 00:13:48,319 Speaker 1: that I could babysit for every Saturday night and I 242 00:13:48,360 --> 00:13:51,000 Speaker 1: could get paid fifty bucks a week. I did the 243 00:13:51,120 --> 00:13:54,400 Speaker 1: math as an eighth grader and thought, is there a 244 00:13:54,520 --> 00:13:56,880 Speaker 1: high school party I could go to that's more fun 245 00:13:56,920 --> 00:13:59,360 Speaker 1: than fifty bucks? And the answer was no, And I 246 00:13:59,480 --> 00:14:01,400 Speaker 1: pretty much to have never been to a high school 247 00:14:01,400 --> 00:14:03,640 Speaker 1: party on a Saturday night because I always wanted to 248 00:14:03,679 --> 00:14:06,800 Speaker 1: make the fifty bucks in that time period. What were 249 00:14:06,840 --> 00:14:09,199 Speaker 1: the big issues that you remember? I mean, what was 250 00:14:09,400 --> 00:14:13,439 Speaker 1: consuming your view of the world? Then, gosh, when I 251 00:14:13,520 --> 00:14:15,559 Speaker 1: was in high school, what was consuming my view of 252 00:14:15,600 --> 00:14:20,840 Speaker 1: the world, My social life, my my popularity? Nonsense, right, 253 00:14:21,680 --> 00:14:23,840 Speaker 1: And now when I look at teenagers, I think it's 254 00:14:23,920 --> 00:14:27,120 Speaker 1: that times a hundred. To be totally honest, Bob, it 255 00:14:27,240 --> 00:14:30,320 Speaker 1: was the one thing that gave me reservations about having children. 256 00:14:31,320 --> 00:14:33,960 Speaker 1: I can remember how painful it is to be in 257 00:14:34,040 --> 00:14:36,080 Speaker 1: junior high or to be in high school, and I 258 00:14:36,120 --> 00:14:41,000 Speaker 1: remember thinking, if it's that hard to live that pain yourself, 259 00:14:41,560 --> 00:14:43,400 Speaker 1: it's going to be ten times harder to be the 260 00:14:43,520 --> 00:14:47,240 Speaker 1: parent watching a child grow up. It's amazing to me 261 00:14:47,600 --> 00:14:50,000 Speaker 1: that from a young age, the way our society, the 262 00:14:50,040 --> 00:14:52,760 Speaker 1: way our culture works, the way our media works, it's 263 00:14:52,800 --> 00:14:56,320 Speaker 1: about being exclusionary. It's about being popular, it's about having 264 00:14:56,400 --> 00:14:58,840 Speaker 1: a best friend, it's about being a captain of that 265 00:14:59,000 --> 00:15:02,400 Speaker 1: team and everything. How do I elbow somebody else out 266 00:15:02,520 --> 00:15:06,040 Speaker 1: to get on top? And that's such a lonely, terrible 267 00:15:06,160 --> 00:15:09,840 Speaker 1: place to live. Wouldn't it be better to teach our 268 00:15:09,920 --> 00:15:11,880 Speaker 1: kids and live our lives, to be part of a 269 00:15:11,960 --> 00:15:15,000 Speaker 1: community and make the world around us better. I wish 270 00:15:15,160 --> 00:15:17,800 Speaker 1: that's how I thought when I was younger. It's certainly 271 00:15:17,920 --> 00:15:20,240 Speaker 1: how I think now. Let me jump in here. Do 272 00:15:20,400 --> 00:15:23,920 Speaker 1: you think that that is more reflection of the eighties 273 00:15:24,040 --> 00:15:26,360 Speaker 1: of your time? I grew up in the fifties and sixties, 274 00:15:26,880 --> 00:15:30,080 Speaker 1: and in the fifties and sixties there was a it 275 00:15:30,240 --> 00:15:33,880 Speaker 1: seems like much more of a social conscience, more worried 276 00:15:33,880 --> 00:15:37,720 Speaker 1: about the world. For me, being a white suburban girl 277 00:15:37,800 --> 00:15:39,880 Speaker 1: in New Jersey. I grew up in the eighties. You 278 00:15:39,960 --> 00:15:42,920 Speaker 1: had just delivered me MTV, So I lived in a 279 00:15:43,080 --> 00:15:45,280 Speaker 1: time of a lot of pop culture and privilege. To 280 00:15:45,320 --> 00:15:47,800 Speaker 1: be totally honest, do you think that was the first 281 00:15:48,000 --> 00:15:53,960 Speaker 1: time that pop culture really began to influence society and 282 00:15:54,080 --> 00:15:58,160 Speaker 1: that that somehow hurt our kids being detached from the 283 00:15:58,240 --> 00:16:00,720 Speaker 1: world and not looking at these bigger issue us or 284 00:16:00,760 --> 00:16:03,360 Speaker 1: do you think this stuff just comes in cycles. I 285 00:16:03,480 --> 00:16:06,240 Speaker 1: think this stuff comes from cycles, And I actually think, 286 00:16:06,800 --> 00:16:09,960 Speaker 1: you know, the advent of something like MTV did a 287 00:16:10,040 --> 00:16:12,520 Speaker 1: lot for us in the fact that music connects us 288 00:16:12,640 --> 00:16:14,880 Speaker 1: and connects culture, and MTV I mean, you know this 289 00:16:15,000 --> 00:16:18,160 Speaker 1: better than I do. Also brought things to the forefront 290 00:16:18,240 --> 00:16:20,960 Speaker 1: and conversations, whether down the road it was about wrap 291 00:16:21,040 --> 00:16:24,440 Speaker 1: the boat or really talking to people about AIDS, or 292 00:16:24,880 --> 00:16:28,200 Speaker 1: seeing people on our TV every night that sounded different 293 00:16:28,320 --> 00:16:32,800 Speaker 1: or looked different. MTV era really brought this idea that 294 00:16:32,960 --> 00:16:37,640 Speaker 1: being alternative wasn't being fringe. It was just part of 295 00:16:37,720 --> 00:16:40,760 Speaker 1: the zeitgeist, part of culture. That's what we want, right. 296 00:16:40,800 --> 00:16:44,280 Speaker 1: We don't want our kids to feel like fringe is 297 00:16:44,320 --> 00:16:47,080 Speaker 1: weird or on the edges or something that isn't part 298 00:16:47,160 --> 00:16:51,000 Speaker 1: of the mainstream. The mainstream should include everyone, and that's 299 00:16:51,040 --> 00:16:54,680 Speaker 1: actually where we're getting now, to a more inclusive society 300 00:16:55,120 --> 00:16:57,320 Speaker 1: where we should just accept people for who they are 301 00:16:57,400 --> 00:17:00,160 Speaker 1: and where they are and where they come from. More 302 00:17:00,200 --> 00:17:07,720 Speaker 1: a Math and Magic right after this quick break. Welcome 303 00:17:07,760 --> 00:17:09,760 Speaker 1: back to Math and Magic. Let's hear more from my 304 00:17:09,880 --> 00:17:14,600 Speaker 1: conversation with Stephanie Roll. So you go off to college. 305 00:17:15,280 --> 00:17:18,159 Speaker 1: You survived your your high school years, you went not 306 00:17:18,320 --> 00:17:21,159 Speaker 1: too far from home in Pennsylvania. You graduated with a 307 00:17:21,240 --> 00:17:24,760 Speaker 1: degree in international business. How did you get there and 308 00:17:24,840 --> 00:17:26,200 Speaker 1: what did you think that was going to do for 309 00:17:26,280 --> 00:17:30,920 Speaker 1: your life and business? I accidentally ended up there Bob. 310 00:17:31,160 --> 00:17:33,879 Speaker 1: I went to college. I really thought I was going 311 00:17:33,960 --> 00:17:37,959 Speaker 1: to study engineering. Not long after being there, I realized 312 00:17:38,000 --> 00:17:39,680 Speaker 1: that wasn't what I wanted to do. As I said, 313 00:17:39,760 --> 00:17:42,680 Speaker 1: my guy is a really brilliant engineer. He worked for 314 00:17:42,720 --> 00:17:45,800 Speaker 1: an engineering company and he eventually took it over. But 315 00:17:46,040 --> 00:17:48,280 Speaker 1: when I was a little girl, I can remember being 316 00:17:48,359 --> 00:17:51,320 Speaker 1: in a car with him and realizing he was a 317 00:17:51,400 --> 00:17:54,960 Speaker 1: lousy businessman. One of their clients needed a part. They 318 00:17:55,040 --> 00:17:58,440 Speaker 1: made very very specific positioning devices, and I had to 319 00:17:58,560 --> 00:18:00,680 Speaker 1: drive into New York City and to over this tiny 320 00:18:00,760 --> 00:18:03,480 Speaker 1: part in a Manilla envelope with my dad. The person 321 00:18:03,640 --> 00:18:05,800 Speaker 1: stayed in a hotel for a week waiting for my 322 00:18:05,920 --> 00:18:09,320 Speaker 1: dad's company to manufacture this piece. I remember dropping the 323 00:18:09,400 --> 00:18:11,680 Speaker 1: Manilla envelope off with my dad and we get back 324 00:18:11,680 --> 00:18:13,680 Speaker 1: in the car. We're on the ride home and I 325 00:18:13,760 --> 00:18:15,639 Speaker 1: said to my dad, so what did you charge them? 326 00:18:16,240 --> 00:18:18,080 Speaker 1: He said, what are you talking about? And he said, 327 00:18:18,080 --> 00:18:19,320 Speaker 1: what do you mean what I charge him? I said, 328 00:18:19,720 --> 00:18:22,240 Speaker 1: that person came here as an emergency. They needed that thing. 329 00:18:22,560 --> 00:18:25,639 Speaker 1: How much more did you charge them for it? And 330 00:18:25,680 --> 00:18:27,879 Speaker 1: he said, we didn't charge them anything more. For them 331 00:18:27,920 --> 00:18:30,520 Speaker 1: they needed a piece. We gave it to them and Bob. 332 00:18:30,680 --> 00:18:33,760 Speaker 1: I can remember being a little girl thinking this guy 333 00:18:33,880 --> 00:18:36,480 Speaker 1: is not very good at business. That guy flew all 334 00:18:36,520 --> 00:18:38,040 Speaker 1: the way here to pick up this piece that they 335 00:18:38,119 --> 00:18:41,680 Speaker 1: desperately needed. Why didn't he charge them double? Triple, quadruple? 336 00:18:42,200 --> 00:18:44,639 Speaker 1: And I remember in high school thinking, my dad's this 337 00:18:44,760 --> 00:18:47,600 Speaker 1: really brilliant engineer, but I don't think you know that 338 00:18:47,720 --> 00:18:49,920 Speaker 1: to build a business. And I think I'm a great salesman. 339 00:18:49,920 --> 00:18:51,639 Speaker 1: I'm gonna go work for him one day. So I 340 00:18:51,640 --> 00:18:53,880 Speaker 1: said I'm gonna study engineering. My dad said, you're gonna 341 00:18:53,880 --> 00:18:56,359 Speaker 1: hate engineering. You will not be a good engineering student. 342 00:18:56,440 --> 00:18:58,560 Speaker 1: Do not do this. So I go to Lehigh to 343 00:18:58,600 --> 00:19:01,680 Speaker 1: study engineering. I get there and I quickly realized, oh yeah, 344 00:19:02,000 --> 00:19:04,119 Speaker 1: I'm not going to study engineering. I'm gonna fail with it. 345 00:19:04,840 --> 00:19:07,160 Speaker 1: So I had an older sister who was graduating from 346 00:19:07,200 --> 00:19:09,119 Speaker 1: architecture school, and I said, what am I gonna do? 347 00:19:09,240 --> 00:19:12,240 Speaker 1: I mean the middle of Pennsylvania at this frat boys school, 348 00:19:12,520 --> 00:19:15,439 Speaker 1: which and she said, go abroad. The most important thing 349 00:19:15,560 --> 00:19:19,000 Speaker 1: is life experience. Go abroad for as long as you 350 00:19:19,040 --> 00:19:21,440 Speaker 1: possibly can. So I did. I met the dean of 351 00:19:21,480 --> 00:19:23,480 Speaker 1: the International Business School, which I didn't even know what 352 00:19:23,600 --> 00:19:25,800 Speaker 1: it was, and he helped me kind of craft a 353 00:19:25,880 --> 00:19:29,000 Speaker 1: new major, and I went and I studied in Guatemala, Kenya, 354 00:19:29,119 --> 00:19:31,359 Speaker 1: and Italy. And when I was in Italy, I wanted 355 00:19:31,400 --> 00:19:33,520 Speaker 1: to stay living in Europe, but I had no money. 356 00:19:34,119 --> 00:19:37,600 Speaker 1: So I wrote letters to Lehigh University alumni who worked 357 00:19:37,600 --> 00:19:40,040 Speaker 1: in banking, because I knew they had banks all around 358 00:19:40,040 --> 00:19:43,240 Speaker 1: the world and a real deer whomever, can you get 359 00:19:43,320 --> 00:19:45,440 Speaker 1: me a job? Blah blah blah blah, And Mary Lynch 360 00:19:45,560 --> 00:19:49,440 Speaker 1: offered me a job in Switzerland, and before the summer started, 361 00:19:49,720 --> 00:19:52,520 Speaker 1: the group blew up and they said, you can go 362 00:19:52,600 --> 00:19:54,800 Speaker 1: work from Mary Lynch in New York. So I came 363 00:19:54,840 --> 00:19:56,600 Speaker 1: back to New York. I worked for Mary Lynch for 364 00:19:56,640 --> 00:19:59,480 Speaker 1: a summer. I didn't even know what they did. I 365 00:19:59,560 --> 00:20:04,080 Speaker 1: had some terrible back office documentation job. And one day 366 00:20:04,200 --> 00:20:06,159 Speaker 1: early in the summer, I had to make a delivery 367 00:20:06,240 --> 00:20:09,600 Speaker 1: under the Kicks and Country floor and I just love energy, 368 00:20:10,160 --> 00:20:11,760 Speaker 1: and I said, I don't know what these people here 369 00:20:11,840 --> 00:20:13,200 Speaker 1: do for a living, but this is what I want 370 00:20:13,240 --> 00:20:16,479 Speaker 1: to do. And I met these two guys who were 371 00:20:16,560 --> 00:20:19,280 Speaker 1: interest rate derivatives traders, and I said, can you teach 372 00:20:19,320 --> 00:20:21,320 Speaker 1: me what you do? And I would come in before 373 00:20:21,400 --> 00:20:23,320 Speaker 1: my work day started, and I would go see them 374 00:20:23,440 --> 00:20:25,760 Speaker 1: when my work day ended, and these guys taught me 375 00:20:25,760 --> 00:20:29,440 Speaker 1: about interest rate derivatives. So I applied to go work 376 00:20:29,480 --> 00:20:31,720 Speaker 1: at all these banks for their sales and trading programs. 377 00:20:31,960 --> 00:20:34,160 Speaker 1: And because I kind of had a wacky resume having 378 00:20:34,560 --> 00:20:37,320 Speaker 1: studied all over, I got in a bunch of interviews 379 00:20:38,160 --> 00:20:41,240 Speaker 1: the night before. It's a Sunday night in New York City. 380 00:20:41,680 --> 00:20:43,200 Speaker 1: So I go to the dinner with these two guys 381 00:20:43,359 --> 00:20:45,440 Speaker 1: and these four other guys that worked with them, like 382 00:20:45,560 --> 00:20:47,720 Speaker 1: just get friends of theirs in the industry. And so 383 00:20:47,800 --> 00:20:51,000 Speaker 1: they're all like twenty seven years old. I'm twenty. So 384 00:20:51,160 --> 00:20:54,080 Speaker 1: they all worked at banks. They interviewed lots of undergrads, 385 00:20:54,280 --> 00:20:57,560 Speaker 1: and they start talking about the math problems. They would 386 00:20:57,600 --> 00:21:00,159 Speaker 1: ask all the candidates all these word problems, you know, 387 00:21:00,280 --> 00:21:03,600 Speaker 1: like there's two trains going down opposing train tracks. One's 388 00:21:03,600 --> 00:21:05,639 Speaker 1: going sixty miles an hour, one's going ninety miles an hour. 389 00:21:05,720 --> 00:21:07,399 Speaker 1: Wehn can the first one get to talaf? You know, 390 00:21:07,480 --> 00:21:11,480 Speaker 1: one of those which Bob, There's no way in God's 391 00:21:11,560 --> 00:21:15,200 Speaker 1: green Earth I could ever answer any of these questions 392 00:21:15,560 --> 00:21:19,240 Speaker 1: ever in my life. But I'm sitting at dinner half listening. 393 00:21:19,800 --> 00:21:22,600 Speaker 1: They're basically talking through all the word problems that they 394 00:21:22,680 --> 00:21:25,240 Speaker 1: do in the interviews. I walk into my interviews that 395 00:21:25,400 --> 00:21:29,680 Speaker 1: week Jacome Morgan, Smith, Barney, Credit, Sueez, and I literally 396 00:21:29,800 --> 00:21:33,760 Speaker 1: get asked every single question that I had heard Sunday night, 397 00:21:34,119 --> 00:21:36,200 Speaker 1: and I can't do any of the map on the 398 00:21:36,480 --> 00:21:38,000 Speaker 1: you know, you know, if you're soppos to show your work, 399 00:21:38,080 --> 00:21:43,960 Speaker 1: And I'm like, uh forty two you know, Los Angeles, Seattle, 400 00:21:44,119 --> 00:21:46,960 Speaker 1: and they're like, yes, yes, yeah. So I absolutely ate 401 00:21:47,119 --> 00:21:50,680 Speaker 1: the test. And the truth is I accidentally cheated on 402 00:21:50,760 --> 00:21:53,160 Speaker 1: it because I would never have been able to solve 403 00:21:53,200 --> 00:21:56,080 Speaker 1: any of the answers. But the truth ends up being 404 00:21:56,760 --> 00:21:59,240 Speaker 1: it's kind of how I ran my career in banking anyway. 405 00:21:59,640 --> 00:22:01,800 Speaker 1: I all, so I heard this story which sort of 406 00:22:01,960 --> 00:22:05,920 Speaker 1: goes along the same characteristics the same person that when 407 00:22:06,000 --> 00:22:08,560 Speaker 1: you were working in banking in the late nineties, you 408 00:22:08,640 --> 00:22:11,119 Speaker 1: were able to get reservations at the hot restaurants and 409 00:22:11,280 --> 00:22:14,440 Speaker 1: clubs for the senior folks, and the only caveat was 410 00:22:14,800 --> 00:22:17,399 Speaker 1: they had to bring you along so you could again 411 00:22:17,720 --> 00:22:20,840 Speaker 1: learn from them, meet their big clients. Really get I 412 00:22:20,960 --> 00:22:24,240 Speaker 1: guess it's the new world apprenticeship. Is that a true story? 413 00:22:24,440 --> 00:22:28,640 Speaker 1: And how did you manage to figure that out. It's 414 00:22:28,720 --> 00:22:32,320 Speaker 1: absolutely true. When I got into banking, I had all 415 00:22:32,400 --> 00:22:34,600 Speaker 1: these thoughts like, oh, maybe I want to work in equities, 416 00:22:34,600 --> 00:22:35,840 Speaker 1: Maybe I want to do this, maybe I want to 417 00:22:35,880 --> 00:22:39,280 Speaker 1: do that. And someone said to me, go where they 418 00:22:39,320 --> 00:22:41,800 Speaker 1: need you. And one of the first rotations I had 419 00:22:41,920 --> 00:22:44,040 Speaker 1: was on a corporate bond desk I knew nothing about, 420 00:22:44,359 --> 00:22:46,440 Speaker 1: and they had had a bunch of turnover, and so 421 00:22:46,520 --> 00:22:48,800 Speaker 1: I thought, I'm gonna stick here. They're short on staff, 422 00:22:49,119 --> 00:22:51,280 Speaker 1: So I end up on this desk and I realized 423 00:22:51,440 --> 00:22:53,440 Speaker 1: these guys every day are kind of going through the 424 00:22:53,440 --> 00:22:56,760 Speaker 1: New York Post or they're reading Time Out or zagas, 425 00:22:56,840 --> 00:22:59,119 Speaker 1: and they need to take their clients the hot restaurants, 426 00:23:00,040 --> 00:23:02,119 Speaker 1: and so I figured it out. My girlfriends at the 427 00:23:02,160 --> 00:23:05,119 Speaker 1: time worked in PR. I obviously knew people, you know, 428 00:23:05,240 --> 00:23:07,479 Speaker 1: in the nightclub and restaurant industry because it's what young 429 00:23:07,560 --> 00:23:09,680 Speaker 1: people do in New York. And I would just book 430 00:23:09,880 --> 00:23:13,160 Speaker 1: table and I convinced the guys that I worked with, oh, 431 00:23:13,240 --> 00:23:14,920 Speaker 1: in order for you to get that table, I'm gonna 432 00:23:14,920 --> 00:23:16,000 Speaker 1: have to go You're gonna have to have a girl 433 00:23:16,040 --> 00:23:18,520 Speaker 1: at the table. And I hustled my way in and 434 00:23:18,640 --> 00:23:21,720 Speaker 1: it ended up being a huge win for me because 435 00:23:21,760 --> 00:23:24,320 Speaker 1: there I was three four nights a week out to 436 00:23:24,400 --> 00:23:27,359 Speaker 1: dinner for two and three hours with all the people 437 00:23:27,440 --> 00:23:29,600 Speaker 1: on my desk, all of their big clients. And in 438 00:23:29,720 --> 00:23:32,720 Speaker 1: any business, I think news is the same. Every business, 439 00:23:32,840 --> 00:23:36,600 Speaker 1: Bob is about trust and relationship building, and that's how 440 00:23:36,640 --> 00:23:38,880 Speaker 1: I built relationships and trust and really how I built 441 00:23:38,920 --> 00:23:42,280 Speaker 1: my career. So let's jump. You had a really good 442 00:23:42,400 --> 00:23:45,879 Speaker 1: career in finance, and you looked like you were making 443 00:23:46,119 --> 00:23:49,240 Speaker 1: great headway and achieving your goals. You're a credit suee 444 00:23:49,359 --> 00:23:53,320 Speaker 1: SA dout your bank, and then you jump to journalism. 445 00:23:53,800 --> 00:23:56,320 Speaker 1: So it's time for you to give us that origin 446 00:23:56,480 --> 00:24:00,280 Speaker 1: story of how you got into journalism and news. You know, 447 00:24:00,400 --> 00:24:02,600 Speaker 1: I always wanted to work in journalism from when I 448 00:24:02,680 --> 00:24:05,520 Speaker 1: had a Fisher Price cassette player as a four year 449 00:24:05,560 --> 00:24:09,080 Speaker 1: old making commercials with my sister. It's what I always 450 00:24:09,119 --> 00:24:11,520 Speaker 1: wanted to do. But I think people don't really pursue 451 00:24:11,560 --> 00:24:13,639 Speaker 1: their dreams when they had a day job, and I 452 00:24:13,760 --> 00:24:15,800 Speaker 1: was lucky enough to have a day job in a 453 00:24:15,960 --> 00:24:19,720 Speaker 1: very lucrative industry in banking. Two years into banking, I 454 00:24:19,760 --> 00:24:22,840 Speaker 1: almost left to go to journalism school though, and a 455 00:24:22,920 --> 00:24:26,320 Speaker 1: mentor of mindset, don't leave. Do this for ten years, 456 00:24:26,480 --> 00:24:28,720 Speaker 1: make your own money, and then figure out what you 457 00:24:28,760 --> 00:24:31,840 Speaker 1: want to do. And that really was very good advice 458 00:24:31,960 --> 00:24:35,800 Speaker 1: at the time, because it's a privilege to pursue dreams 459 00:24:36,240 --> 00:24:38,960 Speaker 1: when you've got your rent paid for. And I worked 460 00:24:39,040 --> 00:24:41,200 Speaker 1: really hard for a long time, and I saved my 461 00:24:41,280 --> 00:24:43,640 Speaker 1: own money, and I worked really hard, and I thought, 462 00:24:43,640 --> 00:24:45,520 Speaker 1: I'm gonna do this for ten years and then I'm 463 00:24:45,560 --> 00:24:47,639 Speaker 1: gonna change careers, or then I'm gonna start a family. 464 00:24:47,680 --> 00:24:49,480 Speaker 1: And ten years in I did start a family, but 465 00:24:49,520 --> 00:24:52,120 Speaker 1: I wasn't ready to change careers. But I thought about 466 00:24:52,160 --> 00:24:55,000 Speaker 1: it a lot, and I thought about TV. One day, 467 00:24:55,040 --> 00:24:57,040 Speaker 1: I was giving a speech for a nonprofit called the 468 00:24:57,040 --> 00:24:59,879 Speaker 1: White House Project, and a woman who ran it in 469 00:25:00,040 --> 00:25:02,920 Speaker 1: Tiffany Defoo. He was talking to the board after and 470 00:25:03,000 --> 00:25:05,639 Speaker 1: she said, women and minorities always get lumped together, but 471 00:25:05,720 --> 00:25:08,000 Speaker 1: if you take the fifty most powerful black men in 472 00:25:08,040 --> 00:25:10,840 Speaker 1: the United States, they help one another more than the 473 00:25:10,920 --> 00:25:13,920 Speaker 1: fifty most powerful women. All of you are senior in 474 00:25:14,000 --> 00:25:16,480 Speaker 1: your industries. You each need to say what you want 475 00:25:16,520 --> 00:25:18,879 Speaker 1: to do next, and somebody else in the room has 476 00:25:18,880 --> 00:25:21,200 Speaker 1: to say I'm gonna get you there. And it was 477 00:25:21,280 --> 00:25:23,080 Speaker 1: my time and I said, you know, I've always wanted 478 00:25:23,119 --> 00:25:26,000 Speaker 1: to work in the media. And there was a woman 479 00:25:26,040 --> 00:25:30,040 Speaker 1: at the cable who ran human resources for Bloomberg, and 480 00:25:30,119 --> 00:25:31,439 Speaker 1: she said, I'm going to be the one to get 481 00:25:31,480 --> 00:25:33,480 Speaker 1: you there. And a few days later I met a 482 00:25:33,480 --> 00:25:36,520 Speaker 1: guy named Andy Lack who ran Bloomberg Media, and he said, 483 00:25:36,560 --> 00:25:39,080 Speaker 1: in the new world of media, there's no more teleprompter readers. 484 00:25:39,400 --> 00:25:42,359 Speaker 1: You have to know the information, you have to love 485 00:25:42,480 --> 00:25:44,840 Speaker 1: the content, and the audience has to want to have 486 00:25:44,880 --> 00:25:48,680 Speaker 1: a relationship with you. And I said, well, Andy, I've 487 00:25:48,720 --> 00:25:51,080 Speaker 1: got one and two better than anybody you have in 488 00:25:51,160 --> 00:25:54,200 Speaker 1: this room. And number three that would be a risk. 489 00:25:54,840 --> 00:25:56,960 Speaker 1: Very good friend of mine is a guy named Todd 490 00:25:57,000 --> 00:25:59,680 Speaker 1: Bowley and said, you go back to them. You tell 491 00:25:59,760 --> 00:26:02,720 Speaker 1: them you will do this job for the lowest amount 492 00:26:02,760 --> 00:26:05,280 Speaker 1: of money of any person who works as the whole company. 493 00:26:06,200 --> 00:26:08,120 Speaker 1: They can give you no contracts, so they can fire 494 00:26:08,160 --> 00:26:10,399 Speaker 1: you at any time, but they need to give you 495 00:26:10,480 --> 00:26:13,320 Speaker 1: a TV show to anchor, and they need to hire 496 00:26:13,400 --> 00:26:16,320 Speaker 1: somebody to teach you how to be on TV. That way, 497 00:26:16,400 --> 00:26:18,600 Speaker 1: you're sharing a little bit of risk and they're taking 498 00:26:18,720 --> 00:26:22,840 Speaker 1: very little brisk And Bloomberg miraculously said, yes, it was 499 00:26:22,880 --> 00:26:25,680 Speaker 1: definitely a leap. I took a nine pay cut, and 500 00:26:25,760 --> 00:26:27,520 Speaker 1: I was scared. You know, there was a good chance 501 00:26:27,560 --> 00:26:30,200 Speaker 1: I was going to humiliate myself, Bob, like, I wasn't 502 00:26:30,240 --> 00:26:34,640 Speaker 1: just changing careers. I was changing careers publicly, right out 503 00:26:34,680 --> 00:26:37,320 Speaker 1: there in the open. By the time I made that 504 00:26:37,440 --> 00:26:40,879 Speaker 1: career switch, I had saved a lot of money, and 505 00:26:41,000 --> 00:26:42,800 Speaker 1: so I was taking a huge pay cut, but it 506 00:26:42,880 --> 00:26:45,040 Speaker 1: wasn't that big of a risk. And I was making 507 00:26:45,080 --> 00:26:47,480 Speaker 1: a move not to cover pop culture but to actually 508 00:26:47,560 --> 00:26:50,440 Speaker 1: cover Wall Street exactly where I came from. Or all 509 00:26:50,520 --> 00:26:52,480 Speaker 1: of the guests that Bloomberg would want to have on 510 00:26:52,600 --> 00:26:55,240 Speaker 1: TV were people that I knew for years and years. 511 00:26:55,320 --> 00:26:58,040 Speaker 1: So it's about reducing the risk when you make a 512 00:26:58,080 --> 00:27:00,320 Speaker 1: leap like that. By the way, at Bloomberg, I will 513 00:27:00,520 --> 00:27:03,080 Speaker 1: point out you had one of your early successes. You 514 00:27:03,160 --> 00:27:05,000 Speaker 1: were one of the folks who broke the story about 515 00:27:05,000 --> 00:27:07,280 Speaker 1: the London whale. For those who don't remember, that was 516 00:27:07,400 --> 00:27:10,719 Speaker 1: the JP Morgan trader who lost about six billion dollars. 517 00:27:11,160 --> 00:27:13,240 Speaker 1: It was a trader who basically got off sides in 518 00:27:13,280 --> 00:27:16,359 Speaker 1: the market, who got so so big and so irresponsible 519 00:27:16,680 --> 00:27:19,600 Speaker 1: he blew up a huge portion of the market, breaking 520 00:27:19,640 --> 00:27:24,879 Speaker 1: the London Whale crushed my husband. When I was in banking, 521 00:27:25,000 --> 00:27:26,800 Speaker 1: he ran credit to ri As, a credit Swiss. I 522 00:27:26,880 --> 00:27:29,240 Speaker 1: sold credit to ri it As at Deutsche Bank. I 523 00:27:29,400 --> 00:27:33,480 Speaker 1: was at Bloomberg for about six months when a source 524 00:27:33,520 --> 00:27:35,800 Speaker 1: of mine was an old relationship of mine, calls me 525 00:27:35,880 --> 00:27:37,680 Speaker 1: and said, you need to look into this trader. You 526 00:27:37,760 --> 00:27:39,920 Speaker 1: need to look into somebody who's gotten so big so 527 00:27:40,160 --> 00:27:42,480 Speaker 1: offside that like this guy can't get out of his trade. 528 00:27:43,080 --> 00:27:44,840 Speaker 1: I come home from work that day and I said 529 00:27:44,880 --> 00:27:48,760 Speaker 1: to my husband, do you know somebody named Bruno. It's Phil. 530 00:27:48,960 --> 00:27:52,280 Speaker 1: They call him the London Whale. And he looked at 531 00:27:52,320 --> 00:27:54,399 Speaker 1: me and he said, I can't talk about it with you. 532 00:27:55,240 --> 00:27:57,440 Speaker 1: I need I need to call my office. And he 533 00:27:57,480 --> 00:27:59,920 Speaker 1: put his sneakers on and he went running. And it's 534 00:28:00,000 --> 00:28:01,560 Speaker 1: gonna be said that. I was like, I guess we're 535 00:28:01,560 --> 00:28:05,080 Speaker 1: onto something. It turns out my husband running at a 536 00:28:05,160 --> 00:28:08,280 Speaker 1: riveter's desk was a huge counterpart of the London whale. 537 00:28:08,640 --> 00:28:11,160 Speaker 1: So when the London Whale blew up, it was crushing 538 00:28:11,560 --> 00:28:13,919 Speaker 1: two banks all across the street, and it was crushing 539 00:28:14,000 --> 00:28:17,320 Speaker 1: to my own husband's business. And when the story broke, 540 00:28:17,760 --> 00:28:20,680 Speaker 1: people like really came after me, like Oh my god, 541 00:28:20,760 --> 00:28:22,440 Speaker 1: that you cook the goose for us. I can't believe 542 00:28:22,440 --> 00:28:24,040 Speaker 1: you did this, Like you're one of us. Why would 543 00:28:24,080 --> 00:28:26,159 Speaker 1: you do this? And I have to give credit to 544 00:28:26,280 --> 00:28:28,920 Speaker 1: my husband who was like, this is a story that 545 00:28:29,000 --> 00:28:31,760 Speaker 1: should be told. This is totally wrong, what's happening in 546 00:28:31,840 --> 00:28:34,920 Speaker 1: the market. You know this industry better than anybody else 547 00:28:35,000 --> 00:28:38,040 Speaker 1: covering at sepany. It would be a huge mistake if 548 00:28:38,080 --> 00:28:41,320 Speaker 1: you didn't, and you went on the NBC Great career. 549 00:28:41,520 --> 00:28:43,480 Speaker 1: Now you've got one of the great jobs and news 550 00:28:43,560 --> 00:28:47,800 Speaker 1: anchor at the eleven o'clock news on MSNBC. I want 551 00:28:47,840 --> 00:28:50,480 Speaker 1: to sort of use some of that perspective now and 552 00:28:50,560 --> 00:28:53,200 Speaker 1: I want to share some with the folks listening today. 553 00:28:54,160 --> 00:28:57,600 Speaker 1: When you look at business leaders today, how do you 554 00:28:57,720 --> 00:29:02,280 Speaker 1: think they use information and what do they need? If 555 00:29:02,360 --> 00:29:06,080 Speaker 1: you ask the business leader today two, what are some 556 00:29:06,160 --> 00:29:10,440 Speaker 1: of the most important characteristics? They would say, being an 557 00:29:10,480 --> 00:29:15,480 Speaker 1: empathetic leader, understanding your people. You'd be hard pressed to 558 00:29:15,560 --> 00:29:18,360 Speaker 1: find a business leader today who's got sort of the 559 00:29:18,440 --> 00:29:21,520 Speaker 1: Gordon get go rule with an iron fist, my way 560 00:29:21,600 --> 00:29:25,040 Speaker 1: or the highway. It's so much more collaborative. And I 561 00:29:25,160 --> 00:29:27,960 Speaker 1: just think sort of the evolution of our business leaders 562 00:29:28,280 --> 00:29:33,360 Speaker 1: it's fantastic as far as information goes, it's all completely 563 00:29:33,440 --> 00:29:38,120 Speaker 1: warped right now. Bob years ago, Coke and pepsi right, 564 00:29:38,160 --> 00:29:41,600 Speaker 1: they would battle, their marketers, would battle their advertisements like 565 00:29:41,680 --> 00:29:45,040 Speaker 1: their campaign. Now you could come out with a campaign 566 00:29:45,640 --> 00:29:49,680 Speaker 1: and immediately an underground group of sort of social media 567 00:29:49,760 --> 00:29:52,640 Speaker 1: guerrillas could go after that new product and crush it 568 00:29:53,240 --> 00:29:56,800 Speaker 1: moments after it launches. And what kind of business leaders 569 00:29:56,880 --> 00:30:00,680 Speaker 1: do best in this world? The biggest problem our business 570 00:30:00,800 --> 00:30:02,960 Speaker 1: leaders have today is that we live in a world 571 00:30:03,000 --> 00:30:07,800 Speaker 1: of short termism. You could have the most productive, thoughtful, 572 00:30:07,920 --> 00:30:11,480 Speaker 1: long term vision for your company, but in the world 573 00:30:11,560 --> 00:30:15,080 Speaker 1: that we're living in, with activist investors banging down your 574 00:30:15,160 --> 00:30:18,880 Speaker 1: door every other day, nobody can make long term decisions. 575 00:30:19,280 --> 00:30:23,160 Speaker 1: For business leaders, everything is about your next quarter earnings call. 576 00:30:23,680 --> 00:30:26,600 Speaker 1: Let's move from business to the world we live in. 577 00:30:27,040 --> 00:30:30,000 Speaker 1: We talked a little about how technology social in particular, 578 00:30:30,200 --> 00:30:32,920 Speaker 1: is changing it. We talked some about what's good and 579 00:30:33,000 --> 00:30:36,200 Speaker 1: bad about it. Any other technology here that's on the 580 00:30:36,320 --> 00:30:39,360 Speaker 1: horizon that you think is going to have the kind 581 00:30:39,400 --> 00:30:43,120 Speaker 1: of impact that the iPhone did fifteen years ago. I 582 00:30:43,240 --> 00:30:47,480 Speaker 1: don't think it's necessarily a specific technology, but I do 583 00:30:47,840 --> 00:30:52,480 Speaker 1: think the impact COVID had on us working from home, telehealth, 584 00:30:52,800 --> 00:30:57,280 Speaker 1: remote education, skills based training is going to change things. 585 00:30:57,880 --> 00:31:00,479 Speaker 1: When we look at the jobs of the future, they 586 00:31:00,520 --> 00:31:04,440 Speaker 1: are not necessarily tied to four year degree liberal arts education, 587 00:31:04,880 --> 00:31:08,120 Speaker 1: and they're much more skills based. During COVID, you saw 588 00:31:08,200 --> 00:31:11,320 Speaker 1: a lot more companies like Google, like sales Cource, like 589 00:31:11,480 --> 00:31:16,080 Speaker 1: IBM create more skills programs so they can recruit workers 590 00:31:16,520 --> 00:31:18,800 Speaker 1: that don't have four year degrees, that are coming out 591 00:31:18,840 --> 00:31:22,480 Speaker 1: of high school that can get higher paid, higher skilled jobs. 592 00:31:23,280 --> 00:31:26,000 Speaker 1: That is something I'm excited about about where we're going, 593 00:31:26,480 --> 00:31:30,080 Speaker 1: rather than the scores of young people taking six years 594 00:31:30,120 --> 00:31:33,440 Speaker 1: to get out of community college with communications degrees that 595 00:31:33,520 --> 00:31:36,680 Speaker 1: don't align with the jobs of tomorrow. So let's talking 596 00:31:36,720 --> 00:31:41,440 Speaker 1: about jobs of tomorrow. Globalization is not a quaint outdated notion. 597 00:31:41,520 --> 00:31:46,080 Speaker 1: Now what's happening globalization is important. But three years ago, 598 00:31:46,240 --> 00:31:48,560 Speaker 1: if I brought up supply chain issues to you, Bob, 599 00:31:49,000 --> 00:31:51,480 Speaker 1: you'd be like, what, I'm not thinking about the supply chain, 600 00:31:51,560 --> 00:31:54,920 Speaker 1: And neither was I. And because of COVID, you're now 601 00:31:55,040 --> 00:31:59,240 Speaker 1: seeing enormous companies like Walmart not just say we're going 602 00:31:59,280 --> 00:32:01,760 Speaker 1: to buy them American because it's the right thing to do. 603 00:32:02,440 --> 00:32:05,040 Speaker 1: More and more companies are saying we're trying to source 604 00:32:05,120 --> 00:32:08,920 Speaker 1: from American manufacturers because it's the more economical thing to do. 605 00:32:09,360 --> 00:32:11,560 Speaker 1: We're never going to produce things cheaper than they do 606 00:32:12,160 --> 00:32:15,040 Speaker 1: in China and places in Asia, but we're starting to 607 00:32:15,200 --> 00:32:18,160 Speaker 1: realize we need to bring more and more manufacturing back 608 00:32:18,200 --> 00:32:21,600 Speaker 1: to the United States, and that's a good thing. Advice 609 00:32:21,720 --> 00:32:25,080 Speaker 1: time here. If you could go back in time, give 610 00:32:25,120 --> 00:32:27,720 Speaker 1: your twenty one year old self some advice. What would 611 00:32:27,720 --> 00:32:32,040 Speaker 1: that advice be? Mind your own business. That's simple, Yeah, 612 00:32:32,360 --> 00:32:35,000 Speaker 1: not mind your own business in a petty way. Mind 613 00:32:35,040 --> 00:32:40,120 Speaker 1: your own business, meaning focus on yourself, work hard on yourself, 614 00:32:40,200 --> 00:32:42,680 Speaker 1: don't be hard on yourself. We keep looking at what 615 00:32:42,800 --> 00:32:46,120 Speaker 1: other people do and what other people have and minding 616 00:32:46,320 --> 00:32:50,080 Speaker 1: their success and using that as a marker for our own. 617 00:32:50,560 --> 00:32:53,719 Speaker 1: I remember there was once when I worked in banking, 618 00:32:54,320 --> 00:32:58,920 Speaker 1: somebody who got a huge opportunity that I thought I 619 00:32:58,960 --> 00:33:01,960 Speaker 1: should get, and I would dying over it, like I 620 00:33:02,200 --> 00:33:04,680 Speaker 1: was in a bathroom, saw losing my mind, crying like 621 00:33:04,800 --> 00:33:06,520 Speaker 1: you gotta be kidding me. And I went to go 622 00:33:06,600 --> 00:33:08,960 Speaker 1: see somebody who's sort of a mentor of mind and 623 00:33:09,160 --> 00:33:11,840 Speaker 1: like this is bullshit, Like I'm gonna bury this person 624 00:33:12,080 --> 00:33:14,680 Speaker 1: like I can't believe this happened. And he said to me, 625 00:33:15,040 --> 00:33:18,200 Speaker 1: somebody else's success could probably be explained in three ways. 626 00:33:18,600 --> 00:33:23,680 Speaker 1: Either they are a super super talent that you don't 627 00:33:23,720 --> 00:33:25,600 Speaker 1: realize and maybe you're not as good as you think. 628 00:33:25,640 --> 00:33:28,760 Speaker 1: That's category one, so you won't help you trying to 629 00:33:28,800 --> 00:33:32,200 Speaker 1: bury them. Category too, they're hooked up. The CEO of 630 00:33:32,280 --> 00:33:34,880 Speaker 1: the company loves them, They get a customer who worships 631 00:33:34,920 --> 00:33:37,240 Speaker 1: them like they are just in the hook up alley, 632 00:33:37,280 --> 00:33:39,600 Speaker 1: and you're not in it. That category two or category three, 633 00:33:40,000 --> 00:33:42,440 Speaker 1: there are frauds, just like you say. They bullshitted their 634 00:33:42,480 --> 00:33:44,360 Speaker 1: way up. It's never gonna work out, and they're gonna 635 00:33:44,360 --> 00:33:46,480 Speaker 1: blow themselves up in a year. So why be the 636 00:33:46,600 --> 00:33:49,320 Speaker 1: person they try to bury them along the way? Be 637 00:33:49,440 --> 00:33:51,920 Speaker 1: the good person that was minding your own business and 638 00:33:52,040 --> 00:33:55,960 Speaker 1: focus on your own success. Seems like the slow to blame, 639 00:33:56,120 --> 00:33:59,560 Speaker 1: quick to forgive philosophy of the world has got lost 640 00:33:59,600 --> 00:34:02,440 Speaker 1: a little bit. So I'm not gonna end this without, 641 00:34:02,560 --> 00:34:06,040 Speaker 1: of course, doing something very practical here. I'm going to 642 00:34:06,160 --> 00:34:09,279 Speaker 1: use your experience in news. If someone has a great 643 00:34:09,320 --> 00:34:12,440 Speaker 1: new product or service, they have some new development in 644 00:34:12,520 --> 00:34:15,359 Speaker 1: their business. How's the best way for them to get 645 00:34:15,440 --> 00:34:20,480 Speaker 1: news coverage? Start telling their story themselves. Do it on TikTok, 646 00:34:21,040 --> 00:34:24,200 Speaker 1: do it on Instagram. Start showing it. Don't do it 647 00:34:24,280 --> 00:34:26,840 Speaker 1: with a PR firm. Don't do it with the pitch. 648 00:34:27,840 --> 00:34:31,200 Speaker 1: Start showing it and I think it will get picked up. 649 00:34:31,920 --> 00:34:34,480 Speaker 1: Someone's going, great stuff. I'm in Iowa. How can I 650 00:34:34,600 --> 00:34:37,120 Speaker 1: do that? You know how you can do it? DM me. 651 00:34:37,680 --> 00:34:40,600 Speaker 1: We're journalists. We're all looking for ideas, and I'm not 652 00:34:40,719 --> 00:34:43,400 Speaker 1: looking for one from a PR firm. You know, we 653 00:34:43,520 --> 00:34:46,319 Speaker 1: live in an age of Shark Tank, where the Mark 654 00:34:46,400 --> 00:34:49,960 Speaker 1: Cubans of the world discover all sorts of businesses. Tell 655 00:34:50,040 --> 00:34:53,560 Speaker 1: your story. You can do it. We end each episode 656 00:34:53,560 --> 00:34:55,920 Speaker 1: of Math and Magic the same way. We do a 657 00:34:56,040 --> 00:34:58,600 Speaker 1: shout out to the greats in the world of analytics, 658 00:34:59,239 --> 00:35:02,000 Speaker 1: and the crea is the math people for the analytics, 659 00:35:02,160 --> 00:35:05,120 Speaker 1: the magicians, if you will, for the wildly creative parts. 660 00:35:05,160 --> 00:35:07,240 Speaker 1: And it takes both of those to have great business, 661 00:35:07,360 --> 00:35:10,920 Speaker 1: great ideas, great products. Who is your choice for the 662 00:35:11,040 --> 00:35:14,400 Speaker 1: best in math? Someone who blows my mind, who I 663 00:35:14,480 --> 00:35:17,040 Speaker 1: think is sort of the ultimate, would be Mike Bloomberg. 664 00:35:17,520 --> 00:35:21,360 Speaker 1: Mike Bloomberg figured out there is a product that Wall 665 00:35:21,440 --> 00:35:25,720 Speaker 1: Street means and I'm going to perfect is one single product. 666 00:35:25,920 --> 00:35:27,640 Speaker 1: I'm not going to go outside my lane. I'm not 667 00:35:27,680 --> 00:35:29,480 Speaker 1: gonna go too broad, I'm not gonna go too big. 668 00:35:29,920 --> 00:35:33,560 Speaker 1: I'm gonna fill this hole for Wall Street how they 669 00:35:33,640 --> 00:35:39,760 Speaker 1: can communicate and price assets. And once I perfect this product, 670 00:35:40,640 --> 00:35:43,440 Speaker 1: I'm going to charge an enormous amount of money for it, 671 00:35:43,760 --> 00:35:47,680 Speaker 1: so I have no competition, and I'm choosing the highest 672 00:35:47,840 --> 00:35:50,000 Speaker 1: end market where they can afford it, and I'm going 673 00:35:50,040 --> 00:35:52,480 Speaker 1: to charge them an enormous amount of money and never 674 00:35:52,600 --> 00:35:54,960 Speaker 1: ever ever give them a break. And that's what he did. 675 00:35:55,640 --> 00:35:59,920 Speaker 1: He is a brilliant risk manager. And who in math 676 00:36:00,040 --> 00:36:03,520 Speaker 1: you don't laugh at this one. It's Harry Styles. I 677 00:36:03,600 --> 00:36:06,400 Speaker 1: didn't even know that much about Harry Styles. And a 678 00:36:06,480 --> 00:36:09,080 Speaker 1: few months ago Harry Styles performed on The Today Show 679 00:36:09,120 --> 00:36:11,239 Speaker 1: and I brought my daughter to go see him. I 680 00:36:11,280 --> 00:36:13,000 Speaker 1: went in like, oh, he came from a boy band. 681 00:36:13,760 --> 00:36:19,719 Speaker 1: He has Mick Jagger charisma and rock star status. Everything 682 00:36:19,880 --> 00:36:24,120 Speaker 1: about this artist is absolute magic. The morning I saw 683 00:36:24,200 --> 00:36:26,640 Speaker 1: Harry Styles performed, that night, I went to a dinner 684 00:36:26,960 --> 00:36:30,680 Speaker 1: the Mark Benning off of Salesforce hosted, and Matt Damon 685 00:36:30,800 --> 00:36:33,200 Speaker 1: was sitting next to me, Matt Damon, right born identity. 686 00:36:33,320 --> 00:36:35,040 Speaker 1: And I turned him and I said that I know 687 00:36:35,160 --> 00:36:37,200 Speaker 1: I should be sitting here so excited to sit next 688 00:36:37,200 --> 00:36:39,359 Speaker 1: to you and blown away, and I am. And I said, 689 00:36:39,400 --> 00:36:42,200 Speaker 1: if I have to tell you, I saw Harry Styles 690 00:36:42,239 --> 00:36:44,880 Speaker 1: performed this morning, and I've never seen a star like 691 00:36:45,040 --> 00:36:47,040 Speaker 1: this in my life. And are you ready for what 692 00:36:47,160 --> 00:36:50,200 Speaker 1: Matt Damon said to me, Bob, he said, stay no more, 693 00:36:50,600 --> 00:36:53,160 Speaker 1: he said, I'm Matt Damon. He said, my wife has 694 00:36:53,200 --> 00:36:56,279 Speaker 1: gotten to meet celebrities do incredible things. You know, he 695 00:36:56,400 --> 00:36:58,600 Speaker 1: rattled off. He's like, you know, I know George Clooney 696 00:36:58,640 --> 00:37:00,400 Speaker 1: and Brad Pitt. We've got all these love of buy 697 00:37:00,400 --> 00:37:03,200 Speaker 1: any good And in all my years with her, the 698 00:37:03,400 --> 00:37:06,400 Speaker 1: one thing my wife has ever asked me for in 699 00:37:06,480 --> 00:37:09,919 Speaker 1: the world of celebrity and entertainment its tickets to see 700 00:37:10,000 --> 00:37:13,320 Speaker 1: Harry Styles with my daughters tomorrow. When his album dropped. 701 00:37:13,640 --> 00:37:16,000 Speaker 1: He said, you are not alone. So when I tell 702 00:37:16,040 --> 00:37:19,160 Speaker 1: you I think pure magic is Harry Styles, I'm not alone. 703 00:37:19,160 --> 00:37:22,120 Speaker 1: Matt dame Won agrees with me. There you go, Mathew Magic, 704 00:37:22,520 --> 00:37:25,480 Speaker 1: Mike Bloomberg and Harry Styles. Probably the only time those 705 00:37:25,520 --> 00:37:28,560 Speaker 1: two are on the stage together Stephanie, You've got an 706 00:37:28,560 --> 00:37:32,760 Speaker 1: amazing story, You've got wonderful insights. Thanks for sharing it today. 707 00:37:33,160 --> 00:37:37,759 Speaker 1: Thanks for having me, Bob, I love you. Here are 708 00:37:37,800 --> 00:37:40,480 Speaker 1: a few lessons I've picked up in my conversation with Stephanie. 709 00:37:40,880 --> 00:37:45,279 Speaker 1: One new should offer insightful perspective, a middle ground between 710 00:37:45,320 --> 00:37:49,880 Speaker 1: objectivity and bias. As Stephanie said, the best journalism tells 711 00:37:50,000 --> 00:37:54,200 Speaker 1: the story and why it matters. Too has proceed at 712 00:37:54,239 --> 00:37:57,080 Speaker 1: the table, whether it's writing letters to bankers in college 713 00:37:57,200 --> 00:37:59,840 Speaker 1: or insisting on going to business dinners with their bosses. 714 00:38:00,200 --> 00:38:04,919 Speaker 1: Stephanie got where she is today because she advocated for herself. Three. 715 00:38:05,360 --> 00:38:08,560 Speaker 1: Mind your own business. As Stephanie says, don't compare yourself 716 00:38:08,640 --> 00:38:13,319 Speaker 1: to others. Just work hard and follow your passion. I'm 717 00:38:13,400 --> 00:38:19,200 Speaker 1: Bob Pittman. Thanks for listening. That's it for today's episode. 718 00:38:19,360 --> 00:38:21,400 Speaker 1: Thanks so much for listening to Math and Matchic, a 719 00:38:21,480 --> 00:38:23,840 Speaker 1: production of I Heart Radio. The show is hosted by 720 00:38:23,880 --> 00:38:26,640 Speaker 1: Bob Pittman. Special thanks to Susan Ward for booking and 721 00:38:26,680 --> 00:38:29,400 Speaker 1: wrangling our wonderful talent, which is no small fees. Marissa 722 00:38:29,440 --> 00:38:32,719 Speaker 1: Brown for pulling research. Our editors Derek Clements, Mary Dow 723 00:38:32,920 --> 00:38:36,240 Speaker 1: and Ryan Murdoch. Our producer Morgan Levoy, our executive producer 724 00:38:36,320 --> 00:38:39,920 Speaker 1: Nikki Eator and of course Gayle Broul, Eric Angel, Noel 725 00:38:40,120 --> 00:38:42,400 Speaker 1: and everyone who helped bring this show to your ears. 726 00:38:42,719 --> 00:38:43,600 Speaker 1: Until next time,