1 00:00:02,640 --> 00:00:05,560 Speaker 1: This is Alec Baldwin and you're listening to Here's the 2 00:00:05,640 --> 00:00:10,440 Speaker 1: Thing from iHeart Radio. If we hearken back to the 3 00:00:10,480 --> 00:00:14,040 Speaker 1: early days of COVID, many of us in the Northeast 4 00:00:14,080 --> 00:00:18,040 Speaker 1: were glued to our television screens, hanging on every word 5 00:00:18,440 --> 00:00:23,400 Speaker 1: of New York's Governor Andrew Cuomo in his daily press briefings. 6 00:00:23,480 --> 00:00:26,760 Speaker 1: Sitting next to him, some six feet away, was his 7 00:00:27,040 --> 00:00:30,960 Speaker 1: right hand secretary to the Governor and the most powerful 8 00:00:31,320 --> 00:00:35,360 Speaker 1: unelected person in New York State government, Melissa de Rosa. 9 00:00:36,200 --> 00:00:39,640 Speaker 1: Over the course of the next year, Cuomo was accused 10 00:00:39,680 --> 00:00:45,000 Speaker 1: of sexual harassment by eleven women. Following an investigation, a 11 00:00:45,040 --> 00:00:49,000 Speaker 1: few short months later, he resigned. It was a stunningly 12 00:00:49,120 --> 00:00:53,600 Speaker 1: swift fall from grace. Now Melissa de Rosa is here 13 00:00:54,040 --> 00:00:57,720 Speaker 1: to tell her side of the story. Her book What's 14 00:00:57,800 --> 00:01:01,720 Speaker 1: Left Unsaid, My Life at the Center of Power, Politics 15 00:01:01,760 --> 00:01:06,920 Speaker 1: and Crisis, details her meteoric rise in government, her experience 16 00:01:07,080 --> 00:01:10,240 Speaker 1: navigating the state through COVID, and her views on the 17 00:01:10,400 --> 00:01:15,080 Speaker 1: sexual harassment scandal. She takes no prisoners and sharing what 18 00:01:15,120 --> 00:01:18,960 Speaker 1: she believes with the many angles being played to remove 19 00:01:19,080 --> 00:01:23,440 Speaker 1: Cuomo from office. DeRosa worked her way up from an 20 00:01:23,440 --> 00:01:27,440 Speaker 1: internship for Hillary Clinton to New York State director of 21 00:01:27,520 --> 00:01:32,560 Speaker 1: Barack Obama's Political Action Committee, to eventually deputy chief of 22 00:01:32,600 --> 00:01:37,160 Speaker 1: staff to New York State Attorney General Eric Schneiderman. I 23 00:01:37,240 --> 00:01:40,720 Speaker 1: wanted to know what motivated her to leave the AG's 24 00:01:40,760 --> 00:01:43,720 Speaker 1: office for the governor's when given the chance. 25 00:01:44,800 --> 00:01:47,360 Speaker 2: The governor's office versus the AG's office is like going 26 00:01:47,400 --> 00:01:49,880 Speaker 2: from JV Divarsity. You know, it's like you're in the 27 00:01:49,920 --> 00:01:52,480 Speaker 2: AG's office. You can be involved. You can do a 28 00:01:52,560 --> 00:01:54,559 Speaker 2: lot of good, bring a lot of cases to hold 29 00:01:54,600 --> 00:01:56,920 Speaker 2: the big banks accountable. You know, we went after Trump 30 00:01:57,000 --> 00:01:59,960 Speaker 2: University when I worked for Scheiderman, but I was watching 31 00:02:00,040 --> 00:02:03,880 Speaker 2: Andrew Cuomo legalized gay marriage and passed the strongest gun 32 00:02:03,920 --> 00:02:07,440 Speaker 2: safety laws in the country after Sandy Hook and you know, build, 33 00:02:07,560 --> 00:02:09,760 Speaker 2: rebuild the tappan Zee Bridge. And so, I mean, the 34 00:02:09,800 --> 00:02:12,520 Speaker 2: governor's office is where I think, outside of the White House, 35 00:02:12,840 --> 00:02:15,120 Speaker 2: you can affect the most sweeping change for the most 36 00:02:15,120 --> 00:02:17,080 Speaker 2: amount of people at once. And so that was a 37 00:02:17,080 --> 00:02:18,480 Speaker 2: place I always aspire to go. 38 00:02:19,040 --> 00:02:21,600 Speaker 1: And then you go over there, and it's kind of 39 00:02:22,040 --> 00:02:24,880 Speaker 1: around the mid line of his first term. Yep, he's 40 00:02:24,880 --> 00:02:27,480 Speaker 1: elected in twenty ten. He assumes office in twenty eleven. 41 00:02:27,520 --> 00:02:28,640 Speaker 1: You go in twenty thirteen. 42 00:02:28,880 --> 00:02:30,560 Speaker 3: Yep, that's right, April twenty thirteen. 43 00:02:30,760 --> 00:02:35,800 Speaker 1: What had you heard about him in advance of you 44 00:02:35,919 --> 00:02:37,800 Speaker 1: going over there? Because I have. I mean, I've heard 45 00:02:37,840 --> 00:02:39,760 Speaker 1: a lot of stories about you. Let's just say this. 46 00:02:40,680 --> 00:02:43,120 Speaker 1: Andrew Cuomo was somebody all my life I've known as 47 00:02:43,120 --> 00:02:45,480 Speaker 1: a guy who was a brass knuckles guy. He's tough, 48 00:02:45,960 --> 00:02:48,679 Speaker 1: and the reason he was treated differently was because when 49 00:02:48,720 --> 00:02:50,560 Speaker 1: Republicans do that, nobody blinks. 50 00:02:50,720 --> 00:02:50,960 Speaker 3: Yep. 51 00:02:51,280 --> 00:02:53,720 Speaker 1: When you're a monster like Trump, a lot of Republicans 52 00:02:53,720 --> 00:02:56,560 Speaker 1: they crave them, whereas the Democrats is a more kind 53 00:02:56,560 --> 00:02:59,679 Speaker 1: of starchy Ivy League bow Tide, you know, moy and 54 00:02:59,720 --> 00:03:04,320 Speaker 1: a half and Docaucus, McGovern Jean McCarthy, that kind of got. 55 00:03:04,639 --> 00:03:08,160 Speaker 1: A Democrat that can throw a punch terrifies people. He 56 00:03:08,280 --> 00:03:11,040 Speaker 1: terrifies the right wing and terrifies that side of the aisle. 57 00:03:11,560 --> 00:03:14,160 Speaker 1: And Andrew can throw a punch. Andrew is known as 58 00:03:14,200 --> 00:03:17,280 Speaker 1: a tough, tough guy and a no holds barred guy 59 00:03:17,320 --> 00:03:19,720 Speaker 1: when he needs to. Yep, is that the reputation you 60 00:03:19,919 --> 00:03:21,200 Speaker 1: knew before you went over there? 61 00:03:21,240 --> 00:03:23,600 Speaker 2: I did, and he you know, also, I knew exactly 62 00:03:23,639 --> 00:03:26,280 Speaker 2: what I was getting into. He was a notorious micromanager. 63 00:03:26,320 --> 00:03:29,200 Speaker 2: He was a workaholic. He was first in the door 64 00:03:29,200 --> 00:03:31,600 Speaker 2: in the morning, last out at the end of the day. 65 00:03:32,160 --> 00:03:35,080 Speaker 2: And people forget because New York is so democratic that 66 00:03:35,120 --> 00:03:37,640 Speaker 2: when he first took over, there was a Republican Senate. 67 00:03:38,080 --> 00:03:41,440 Speaker 2: And so the year before he took office, the Democrats 68 00:03:41,440 --> 00:03:44,200 Speaker 2: were in charge of the Senate the Assembly, and Patterson, 69 00:03:44,200 --> 00:03:46,880 Speaker 2: who's a Democrat, was governor. They put gay marriage on 70 00:03:46,880 --> 00:03:49,520 Speaker 2: the floor and it goes up in flames. Andrew Cuomos, 71 00:03:49,920 --> 00:03:52,200 Speaker 2: you know, assumes office the next year, he's got a 72 00:03:52,240 --> 00:03:56,080 Speaker 2: Republican Senate. He gets gay marriage done with four Republican senators. 73 00:03:56,480 --> 00:03:59,160 Speaker 2: And so he was tough, and he could throw a punch, 74 00:03:59,240 --> 00:04:02,400 Speaker 2: but more than any thing, he was incredibly affected, smart 75 00:04:02,600 --> 00:04:05,240 Speaker 2: and smart. He knew how to move the pieces on 76 00:04:05,280 --> 00:04:07,640 Speaker 2: the chessboard in a way that no other politician I've 77 00:04:07,680 --> 00:04:10,800 Speaker 2: ever seen can, which you know, he grew up living 78 00:04:10,840 --> 00:04:13,320 Speaker 2: it through osmosis with his father, and you know, it 79 00:04:13,400 --> 00:04:15,640 Speaker 2: was just sort of in his blood. So, yeah, he 80 00:04:15,720 --> 00:04:19,440 Speaker 2: had a reputation for being incredibly demanding and difficult to 81 00:04:19,480 --> 00:04:21,800 Speaker 2: work for, but in a rewarding way. 82 00:04:22,000 --> 00:04:24,160 Speaker 1: And he was also beyond being the son of the 83 00:04:24,680 --> 00:04:26,839 Speaker 1: former governor. He was the ag. 84 00:04:26,920 --> 00:04:29,440 Speaker 3: Himself, yep, and had secretary. 85 00:04:29,040 --> 00:04:30,400 Speaker 1: Secretary, so we had quite a bit of a He 86 00:04:30,400 --> 00:04:32,640 Speaker 1: had quite a resume before going to the two Albany. 87 00:04:32,800 --> 00:04:36,280 Speaker 2: Yeah, and he managed his father's campaign actually in when 88 00:04:36,279 --> 00:04:38,560 Speaker 2: he was twenty years old and his father ran for governor, 89 00:04:38,600 --> 00:04:40,880 Speaker 2: the first time he managed his campaign. So you know, 90 00:04:40,920 --> 00:04:43,320 Speaker 2: he was involved in sort of bare knuckle politics since 91 00:04:43,320 --> 00:04:44,159 Speaker 2: he was a teenager. 92 00:04:45,400 --> 00:04:48,039 Speaker 1: But you kind of knew what you were getting into. 93 00:04:48,000 --> 00:04:48,720 Speaker 3: Oh, definitely. 94 00:04:48,960 --> 00:04:54,120 Speaker 1: And then you're there in twenty thirteen, and Cuomo resigns 95 00:04:54,240 --> 00:04:58,200 Speaker 1: in twenty twenty one, twenty twenty one. But in twenty eighteen, 96 00:04:58,279 --> 00:05:02,760 Speaker 1: Schneidermann resigns. Yep, your former boss resigns, And so it 97 00:05:02,800 --> 00:05:06,080 Speaker 1: seems like you know, in New York in and around 98 00:05:06,080 --> 00:05:10,400 Speaker 1: that time, Patterson, the hocal of his day, becomes governor 99 00:05:10,520 --> 00:05:14,240 Speaker 1: because Spitzer, who's always the smartest guy in the room, resigned. 100 00:05:14,279 --> 00:05:17,800 Speaker 1: There's sex scandal in the air everywhere in Albany. 101 00:05:17,520 --> 00:05:20,120 Speaker 3: Everywhere, although different brands of sex scandal. 102 00:05:20,200 --> 00:05:25,080 Speaker 2: But yes, you know, look, I think the scandal follows politicians. 103 00:05:25,080 --> 00:05:28,039 Speaker 2: Politicians sometimes get over their skis. They're in power for 104 00:05:28,120 --> 00:05:31,600 Speaker 2: too long, they think they're invincible, and then in other instances, 105 00:05:31,640 --> 00:05:34,000 Speaker 2: like what I argue in the book with Cuomo, I 106 00:05:34,000 --> 00:05:38,600 Speaker 2: think it was more about political opportunism and taking a 107 00:05:38,600 --> 00:05:42,000 Speaker 2: shot to weaponize things that were actually every day interactions, 108 00:05:42,000 --> 00:05:43,800 Speaker 2: like kissing someone on the cheek and putting your hand 109 00:05:43,839 --> 00:05:45,640 Speaker 2: on their waist for a photograph and acting like that 110 00:05:45,720 --> 00:05:48,880 Speaker 2: was sexual harassment. But the one thing that's tried and 111 00:05:48,960 --> 00:05:53,039 Speaker 2: true is that sex kills democrats. You know, if there's 112 00:05:53,040 --> 00:05:56,000 Speaker 2: an allegation, it's as good as a guilty verdict and 113 00:05:56,040 --> 00:05:59,440 Speaker 2: you're out. The party has no patience for due process 114 00:05:59,520 --> 00:06:01,600 Speaker 2: or for trying to get through any of the details. 115 00:06:01,960 --> 00:06:04,800 Speaker 2: And so that is one constant theme you saw with 116 00:06:04,839 --> 00:06:06,680 Speaker 2: al Franken. You know, you see it all the time. 117 00:06:07,120 --> 00:06:10,440 Speaker 1: Were there any other opportunities you had? Was it automatically 118 00:06:10,480 --> 00:06:13,360 Speaker 1: going to be something like that, or was there ever 119 00:06:13,440 --> 00:06:15,279 Speaker 1: a thought? I mean, I'm not saying this to be kind. 120 00:06:15,520 --> 00:06:20,800 Speaker 1: You're a tough, smart, committed you work hard. You worked 121 00:06:20,839 --> 00:06:23,960 Speaker 1: hard in the book you talk about the costs to 122 00:06:24,000 --> 00:06:27,080 Speaker 1: you of working on personally and otherwise, and you work hard. 123 00:06:27,279 --> 00:06:29,640 Speaker 1: Were there every thoughts of going and making some money somewhere? 124 00:06:30,240 --> 00:06:32,359 Speaker 3: You know, it's a lot of different things. Do it 125 00:06:32,400 --> 00:06:33,560 Speaker 3: for a lot of different people. 126 00:06:33,760 --> 00:06:38,440 Speaker 2: I love public service, and I felt fulfilled by putting 127 00:06:38,440 --> 00:06:41,560 Speaker 2: in the hours and the reward was passing sweeping legislation. 128 00:06:41,720 --> 00:06:44,400 Speaker 2: So I love public service, and I never for one 129 00:06:44,440 --> 00:06:48,280 Speaker 2: minute contemplated going out into the private sector and monetizing 130 00:06:48,320 --> 00:06:49,080 Speaker 2: those skills. 131 00:06:49,400 --> 00:06:54,200 Speaker 1: When you see that sex scandal, for example, plays the 132 00:06:54,240 --> 00:06:58,200 Speaker 1: way it does not only in the democratic sphere, but 133 00:06:58,279 --> 00:07:00,800 Speaker 1: I also think in the more media center. I think 134 00:07:00,800 --> 00:07:02,560 Speaker 1: you can do whatever the hell you want to in 135 00:07:02,839 --> 00:07:06,280 Speaker 1: Wyoming or South Dakota and there's less chance you're going 136 00:07:06,279 --> 00:07:09,680 Speaker 1: to get caught. This is the media capital of the world. Yep. 137 00:07:10,120 --> 00:07:12,640 Speaker 1: And when you're playing your cards a certain way and 138 00:07:12,680 --> 00:07:15,440 Speaker 1: you're in New York, you better watch out. There's a 139 00:07:15,480 --> 00:07:16,440 Speaker 1: lot of eyes on you. 140 00:07:16,640 --> 00:07:18,520 Speaker 3: Yes, that's that's absolutely that your. 141 00:07:18,480 --> 00:07:20,640 Speaker 1: Job to try to encourage them to remember that. 142 00:07:21,920 --> 00:07:22,920 Speaker 3: I mean, not really. 143 00:07:22,960 --> 00:07:25,680 Speaker 2: It wasn't anything that was ever an Andrew Cuomo thing. 144 00:07:26,160 --> 00:07:28,559 Speaker 2: You know, Andrew Cuomo was a lot of things. People 145 00:07:28,640 --> 00:07:31,160 Speaker 2: labeled him a bully, people, you know, accused him of 146 00:07:31,240 --> 00:07:33,840 Speaker 2: being two bipartisan and working with Republicans when they said 147 00:07:33,880 --> 00:07:35,320 Speaker 2: you should only work with Democrats. 148 00:07:35,520 --> 00:07:36,920 Speaker 3: He was accused of a lot of. 149 00:07:36,800 --> 00:07:39,040 Speaker 2: Things over the years, but The one thing he was 150 00:07:39,160 --> 00:07:42,680 Speaker 2: never accused of was anything involving sexual harassment or anything 151 00:07:42,720 --> 00:07:45,760 Speaker 2: coming close to that, which is why when this scandal 152 00:07:45,800 --> 00:07:48,120 Speaker 2: started to unfurl, it was like as if I was 153 00:07:48,160 --> 00:07:51,080 Speaker 2: in the twilight zone, because it was so far removed 154 00:07:51,120 --> 00:07:53,240 Speaker 2: from anything he had ever been known to be or 155 00:07:53,240 --> 00:07:54,240 Speaker 2: anyone thought he was. 156 00:07:55,040 --> 00:07:58,960 Speaker 1: Now when he starts to go down in this whole thing, 157 00:07:59,000 --> 00:08:00,840 Speaker 1: and all of this up because I'm gonna ask you 158 00:08:00,880 --> 00:08:03,600 Speaker 1: to read a passage from your book, Okay, I really 159 00:08:03,640 --> 00:08:05,560 Speaker 1: want desperately for you to read this, because it's so 160 00:08:05,600 --> 00:08:09,360 Speaker 1: amazing this It's so chocked with information and thoughts and 161 00:08:09,360 --> 00:08:12,320 Speaker 1: so forth and important things. The when this starts to 162 00:08:12,320 --> 00:08:15,560 Speaker 1: go down, who do you think was responsible, if not 163 00:08:15,640 --> 00:08:19,280 Speaker 1: for creating or engineering, but who do you think really 164 00:08:19,280 --> 00:08:21,680 Speaker 1: carried the ball in terms of bringing him down over 165 00:08:21,680 --> 00:08:22,840 Speaker 1: a sexual charge. 166 00:08:22,880 --> 00:08:25,040 Speaker 2: Well, there were two people that I really like lay 167 00:08:25,040 --> 00:08:27,280 Speaker 2: it at their feet. One is Lindsay Boylan, who sort 168 00:08:27,280 --> 00:08:29,840 Speaker 2: of created this whole stampede from the beginning, and I 169 00:08:29,960 --> 00:08:32,240 Speaker 2: go through it in my book in painstaking detail. But 170 00:08:32,760 --> 00:08:35,360 Speaker 2: she had been threatening our staff and saying that we 171 00:08:35,360 --> 00:08:38,440 Speaker 2: were changing petitioning rules for Congress in order to hurt 172 00:08:38,440 --> 00:08:39,679 Speaker 2: her even though we were doing in the middle of 173 00:08:39,760 --> 00:08:43,120 Speaker 2: pandemic for everyone was totally devoid of reality, you know, 174 00:08:43,240 --> 00:08:46,920 Speaker 2: promises retribution, says in these text messages to senior staff, 175 00:08:47,240 --> 00:08:49,280 Speaker 2: my life is long, and so are my memory, and 176 00:08:49,320 --> 00:08:52,240 Speaker 2: so is my resources. You know, she says all these 177 00:08:52,240 --> 00:08:54,599 Speaker 2: things on Twitter that turned out to be wise in 178 00:08:54,720 --> 00:08:57,800 Speaker 2: any event. She was driving the train trying to actively 179 00:08:57,800 --> 00:09:00,240 Speaker 2: recruit women to come out against the governor, even you know, 180 00:09:00,280 --> 00:09:02,040 Speaker 2: little things like kiss on the cheek, hand on the 181 00:09:02,040 --> 00:09:04,320 Speaker 2: waist and acting like this is an accuser and accusing 182 00:09:04,400 --> 00:09:06,680 Speaker 2: number two because number three she was doing that. But 183 00:09:06,760 --> 00:09:09,640 Speaker 2: it was Tiss James who carried this ball over the line. 184 00:09:09,840 --> 00:09:11,560 Speaker 1: Why do you think that was? What was her game? 185 00:09:11,800 --> 00:09:14,439 Speaker 2: Very simple, you know, talking about Barrey knuckle politics. The 186 00:09:14,480 --> 00:09:16,840 Speaker 2: woman wanted to be governor, right, and we said it 187 00:09:16,880 --> 00:09:19,599 Speaker 2: all along, and people said you're crazy, and then lo 188 00:09:19,760 --> 00:09:21,800 Speaker 2: and behold. You know, as soon as we're out of 189 00:09:21,800 --> 00:09:24,760 Speaker 2: office one month later, boom, Tish James announces she's running 190 00:09:24,800 --> 00:09:27,800 Speaker 2: for governor. So the goal for her was very clear 191 00:09:27,840 --> 00:09:29,880 Speaker 2: and obvious to us all along, and a lot of 192 00:09:29,880 --> 00:09:31,600 Speaker 2: people tried to say no, no, no, this has something 193 00:09:31,640 --> 00:09:33,040 Speaker 2: to do with it. And then the minute we were out, 194 00:09:33,080 --> 00:09:36,600 Speaker 2: she pivoted to run, so, you know, bare knuckle politics. 195 00:09:37,760 --> 00:09:41,280 Speaker 1: So Cuomo was elected in twenty ten, twenty fourteen, twenty. 196 00:09:41,000 --> 00:09:44,960 Speaker 2: Eighteen by massive margins, and he's assumed to have a 197 00:09:45,040 --> 00:09:47,960 Speaker 2: very good chance at achieving the unthinkable, which is. 198 00:09:48,000 --> 00:09:52,200 Speaker 1: A fourth term, yes, which was unavailable to Pataki, to 199 00:09:52,280 --> 00:09:55,720 Speaker 1: his father to three term governors. Or was it was 200 00:09:55,920 --> 00:09:57,000 Speaker 1: Mario two terms? 201 00:09:57,040 --> 00:09:59,040 Speaker 3: Mario did three and then yeah he. 202 00:09:59,080 --> 00:10:02,480 Speaker 1: Lost and Protack three terms each. Yep, and Andrew's going 203 00:10:02,520 --> 00:10:04,640 Speaker 1: to get the pull the rabbit out of the hatt 204 00:10:04,640 --> 00:10:07,880 Speaker 1: and get a fourth term. Yep. Now, James declared when 205 00:10:08,200 --> 00:10:09,920 Speaker 1: Andrew resigns in twenty twenty. 206 00:10:09,640 --> 00:10:12,600 Speaker 2: One, so the governor Cuomo resigns in August of twenty 207 00:10:12,640 --> 00:10:15,720 Speaker 2: twenty one. She announces she's running for governor in October 208 00:10:15,760 --> 00:10:17,760 Speaker 2: of twenty twenty one, so you know, she lets six 209 00:10:17,760 --> 00:10:19,360 Speaker 2: weeks go by. 210 00:10:19,760 --> 00:10:21,199 Speaker 3: But the body was still warm. 211 00:10:21,559 --> 00:10:26,040 Speaker 2: Decent time, yes, and she announces she's running and then amazingly, look, 212 00:10:26,120 --> 00:10:29,000 Speaker 2: she's not very talented, she's not very articulate on the stump, 213 00:10:29,040 --> 00:10:31,839 Speaker 2: she wasn't raising a lot of money, and so her 214 00:10:31,960 --> 00:10:34,640 Speaker 2: race lasted about two months and then she dropped out 215 00:10:34,679 --> 00:10:36,080 Speaker 2: and she decided she was just going to run for 216 00:10:36,120 --> 00:10:38,520 Speaker 2: AG again and lean in on Trump, and so that's 217 00:10:38,559 --> 00:10:39,200 Speaker 2: what she did. 218 00:10:40,440 --> 00:10:45,120 Speaker 1: Now you have some very choice words for Hochel, and 219 00:10:45,679 --> 00:10:49,240 Speaker 1: some of my favorite passages, regardless of my feelings, are 220 00:10:49,360 --> 00:10:53,480 Speaker 1: lack thereof of support for Hokeel. I do see that 221 00:10:53,600 --> 00:10:57,200 Speaker 1: New York politics, of course, when number one on the 222 00:10:57,200 --> 00:11:00,880 Speaker 1: call sheet is gone and the lieutenant governor a purely 223 00:11:00,960 --> 00:11:04,439 Speaker 1: ceremonial position my entire life. People said to me the 224 00:11:04,440 --> 00:11:08,240 Speaker 1: state wide offices are two Senate seats, governor, comptroller, and 225 00:11:08,320 --> 00:11:11,400 Speaker 1: AG and that the lieutenant governorship is just a ceremonial, 226 00:11:11,440 --> 00:11:14,360 Speaker 1: bullshit thing for the campaign. But we have entered a 227 00:11:14,400 --> 00:11:19,360 Speaker 1: phase now where a statewide office in this country is 228 00:11:19,440 --> 00:11:23,719 Speaker 1: occupied by some pretty listless, colorless people. Why do you 229 00:11:23,760 --> 00:11:24,240 Speaker 1: think that is? 230 00:11:24,440 --> 00:11:26,840 Speaker 2: You know, look, I feel the same way. I'm disappointed 231 00:11:26,840 --> 00:11:28,920 Speaker 2: by government at every level right now. It feels like 232 00:11:28,960 --> 00:11:30,680 Speaker 2: a lot of people who sort of have been hanging 233 00:11:30,679 --> 00:11:32,760 Speaker 2: around the hoop and then they get their slot, and 234 00:11:32,760 --> 00:11:34,840 Speaker 2: then it's all they care about is staying in power 235 00:11:34,880 --> 00:11:37,439 Speaker 2: and not doing anything with it while they're there. And 236 00:11:37,480 --> 00:11:39,360 Speaker 2: I was actually saying this to someone the other day. 237 00:11:39,440 --> 00:11:41,240 Speaker 2: You know, in terms of both the migrant crisis, and 238 00:11:41,280 --> 00:11:44,240 Speaker 2: also post COVID New York, where this should be a 239 00:11:44,240 --> 00:11:47,120 Speaker 2: moment of opportunity where we're reimagining what the city can 240 00:11:47,160 --> 00:11:50,560 Speaker 2: be and we're getting creative about dealing with vacant storefronts 241 00:11:50,600 --> 00:11:53,800 Speaker 2: and empty office buildings, and instead you know nothing. And 242 00:11:53,840 --> 00:11:55,960 Speaker 2: I think about, you know, ten years ago, love him 243 00:11:56,080 --> 00:11:58,880 Speaker 2: or hate him, but you know, Bloomberg was mayor Andrew 244 00:11:58,880 --> 00:12:01,080 Speaker 2: Cuomo was governor, and what it looked like when you 245 00:12:01,120 --> 00:12:04,400 Speaker 2: had two really super talented executives at the helm. But 246 00:12:05,400 --> 00:12:07,280 Speaker 2: I think that we're in a bad place right now 247 00:12:07,320 --> 00:12:10,199 Speaker 2: where there's this sort of mentality if you wait in line, 248 00:12:10,240 --> 00:12:12,880 Speaker 2: it's your turn, then you get to do it, and 249 00:12:12,920 --> 00:12:15,560 Speaker 2: the democratic machinery falls in line. There are no primaries 250 00:12:15,559 --> 00:12:18,800 Speaker 2: for these high profile positions, and so it just allows 251 00:12:18,880 --> 00:12:23,120 Speaker 2: the cycle of sort of sluggishness and listlessness to use 252 00:12:23,160 --> 00:12:26,400 Speaker 2: your word, to perpetuate. And New York, I'm sorry, is 253 00:12:26,440 --> 00:12:28,679 Speaker 2: the greatest state in the country, and so you'd think 254 00:12:28,679 --> 00:12:30,200 Speaker 2: we'd be attracting better talent. 255 00:12:30,760 --> 00:12:33,520 Speaker 3: But I also think there is this dynamic very deep. 256 00:12:33,960 --> 00:12:35,880 Speaker 2: The bench isn't deep it all. And I think there 257 00:12:35,880 --> 00:12:38,360 Speaker 2: also is this dynamic now where there are some really 258 00:12:38,520 --> 00:12:41,280 Speaker 2: talented people in the private sector who don't want to 259 00:12:41,280 --> 00:12:43,760 Speaker 2: go near politics because they think to themselves, if I 260 00:12:43,840 --> 00:12:45,520 Speaker 2: do that, I'm going to be destroyed in the media. 261 00:12:45,559 --> 00:12:47,280 Speaker 2: People are going to come after me. My personal life 262 00:12:47,360 --> 00:12:50,440 Speaker 2: is going to be distorted, exposed. So we're we're in 263 00:12:50,480 --> 00:12:52,600 Speaker 2: a bad position, and there needs to be a disruption 264 00:12:52,679 --> 00:12:54,480 Speaker 2: of the status quo, and it has to happen soon. 265 00:12:55,080 --> 00:12:57,680 Speaker 1: We do have this dearth, We do have this shortage 266 00:12:57,679 --> 00:13:00,520 Speaker 1: of people who would make great leaders. You mentioned the 267 00:13:00,600 --> 00:13:04,880 Speaker 1: twin cylinders of Cuomo with Bloomberg. I thought Bloomberg was 268 00:13:04,920 --> 00:13:07,120 Speaker 1: somebody who would have been better in a body like 269 00:13:07,160 --> 00:13:10,599 Speaker 1: the Senate. I think Bloomberg on his own as an executive, 270 00:13:10,640 --> 00:13:12,800 Speaker 1: which is what he was He's been his whole life, 271 00:13:12,880 --> 00:13:15,880 Speaker 1: the executive calling the shots and in charge. It wasn't 272 00:13:15,880 --> 00:13:18,760 Speaker 1: so great because he spent ninety million dollars of his 273 00:13:18,800 --> 00:13:20,359 Speaker 1: own money on three races. 274 00:13:20,600 --> 00:13:24,960 Speaker 3: Yes he bought the election, well, yes, he certainly. 275 00:13:25,400 --> 00:13:28,800 Speaker 2: Yeah, he certainly used his own money leveraged that money 276 00:13:28,800 --> 00:13:32,439 Speaker 2: to win. But I always felt like Bloomberg was incredibly competent. 277 00:13:32,559 --> 00:13:35,560 Speaker 2: And the mayor of New York City's job essentially is 278 00:13:35,679 --> 00:13:39,960 Speaker 2: police and garbage. It's please garbage, education, and at least 279 00:13:40,040 --> 00:13:42,520 Speaker 2: during that period of time, I think people felt really 280 00:13:42,559 --> 00:13:45,040 Speaker 2: confident about the leadership coming out of city Hall. 281 00:13:45,400 --> 00:13:48,679 Speaker 3: There was no corruption. He wasn't someone who could be bought. 282 00:13:48,760 --> 00:13:50,959 Speaker 2: He kept the trains moving on time, the city was 283 00:13:51,000 --> 00:13:53,640 Speaker 2: at its all time best in terms of safety, Businesses 284 00:13:53,640 --> 00:13:55,560 Speaker 2: were coming in, and so I thought he was a 285 00:13:55,559 --> 00:13:56,719 Speaker 2: phenomenal executive. 286 00:14:00,920 --> 00:14:06,440 Speaker 1: Melissa DeRosa If you enjoy conversations with brilliant, highly skilled 287 00:14:06,520 --> 00:14:09,680 Speaker 1: political aids, be sure to check out my episode with 288 00:14:09,760 --> 00:14:13,200 Speaker 1: Huma Abadeen, Hillary Clinton's chief of staff. 289 00:14:13,800 --> 00:14:16,959 Speaker 4: To some extent, there was crisis all around me. It's 290 00:14:17,000 --> 00:14:18,320 Speaker 4: one of the reasons I share in the book this 291 00:14:18,400 --> 00:14:21,240 Speaker 4: story about the first time I staff Hillary and her 292 00:14:21,280 --> 00:14:23,720 Speaker 4: speech is forgotten in the car and she calls me 293 00:14:23,760 --> 00:14:26,600 Speaker 4: on to stage and I'm this kid, I'm barely twenty one, 294 00:14:27,080 --> 00:14:29,280 Speaker 4: don't have the speech. And that was the moment, the 295 00:14:29,360 --> 00:14:32,440 Speaker 4: moment where you basically either fall apart or say I 296 00:14:32,480 --> 00:14:35,000 Speaker 4: got it. I can fix this. And I fixed it 297 00:14:35,000 --> 00:14:37,200 Speaker 4: in that moment. That was twenty six years ago, and 298 00:14:37,240 --> 00:14:39,360 Speaker 4: I have always figured it out, and I actually think 299 00:14:39,440 --> 00:14:41,200 Speaker 4: I have figured out that I'm pretty good at it. 300 00:14:43,480 --> 00:14:47,840 Speaker 1: To hear more of my conversation with Huma Abadeen go 301 00:14:47,920 --> 00:14:52,600 Speaker 1: to Here's the Thing dot org. After the Break, Melissa 302 00:14:52,680 --> 00:14:56,320 Speaker 1: DeRosa shares what it was like during the loneliest point 303 00:14:56,360 --> 00:15:00,280 Speaker 1: of her life as friends and allies fell away while 304 00:15:00,280 --> 00:15:15,720 Speaker 1: the accusations stacked up against Andrew Cuomo. I'm Alec Baldwin, 305 00:15:15,960 --> 00:15:19,960 Speaker 1: and you're listening to Here's the Thing. Melissa DeRosa's book 306 00:15:20,000 --> 00:15:24,200 Speaker 1: What's Left Unsaid gives a detailed account of the unfolding 307 00:15:24,520 --> 00:15:28,640 Speaker 1: of the sexual harassment scandal involving Governor Andrew Cuomo in 308 00:15:28,640 --> 00:15:32,280 Speaker 1: twenty twenty one. I wanted her to share a passage 309 00:15:32,320 --> 00:15:35,480 Speaker 1: from her book, reflecting on this time as she and 310 00:15:35,600 --> 00:15:39,400 Speaker 1: Cuomo's inner circle attempted to navigate the crisis. 311 00:15:40,640 --> 00:15:43,000 Speaker 2: I hung up and walked outside to see the Governor 312 00:15:43,040 --> 00:15:45,600 Speaker 2: sitting at the round table on the patio, the same 313 00:15:45,640 --> 00:15:47,960 Speaker 2: table we had sat at so many times in the 314 00:15:48,040 --> 00:15:52,400 Speaker 2: last eight years, with his family, with senior staff, smoking cigars, 315 00:15:52,480 --> 00:15:57,440 Speaker 2: debating policy, laughing, arguing. Melissa, what's going on? The governor asked, 316 00:15:57,560 --> 00:16:00,280 Speaker 2: responding to my drawn face. There was no way to 317 00:16:00,320 --> 00:16:03,320 Speaker 2: sugarcoat this one. There's a rumor going around that Sheriff 318 00:16:03,360 --> 00:16:06,440 Speaker 2: Apple is going to arrest you, I said, Governor. The 319 00:16:06,560 --> 00:16:09,880 Speaker 2: legislature is going to impeach you. The facts don't matter. 320 00:16:10,280 --> 00:16:13,000 Speaker 2: They aren't going to scrutinize a damn thing in that report. 321 00:16:13,120 --> 00:16:15,720 Speaker 2: The Senate has the votes, christ to the majority leader 322 00:16:15,720 --> 00:16:18,520 Speaker 2: publicly announced she's one of them. The far left in 323 00:16:18,560 --> 00:16:21,280 Speaker 2: her conference wanted you out before any of this. They 324 00:16:21,400 --> 00:16:24,200 Speaker 2: used this to do it. The Governor heard every word 325 00:16:24,240 --> 00:16:26,760 Speaker 2: I said, nodded his head and looked over at Steph. 326 00:16:27,040 --> 00:16:29,480 Speaker 2: Can you get your laptop. I have a speech to write. 327 00:16:29,880 --> 00:16:31,880 Speaker 2: At that point, I didn't know what speech he was 328 00:16:31,920 --> 00:16:35,120 Speaker 2: going to write. I'm not sure he did either. With 329 00:16:35,200 --> 00:16:38,080 Speaker 2: every passing hour, I could feel the walls closing in. 330 00:16:38,560 --> 00:16:40,480 Speaker 2: I didn't know who I could trust or where I 331 00:16:40,480 --> 00:16:44,280 Speaker 2: could turn. My phone was constantly ringing with unsolicited advice 332 00:16:44,320 --> 00:16:48,720 Speaker 2: from legislators, outside consultants, and our remaining senior staff, each 333 00:16:48,760 --> 00:16:51,560 Speaker 2: with their own agenda. I was lost in a fog 334 00:16:51,600 --> 00:16:54,200 Speaker 2: of trying to discern whether the council I was receiving 335 00:16:54,320 --> 00:16:57,720 Speaker 2: was to benefit the administration or the person calling. And 336 00:16:57,760 --> 00:16:59,840 Speaker 2: as the hours went on, I could feel the inner 337 00:16:59,840 --> 00:17:04,680 Speaker 2: shrinking details about private discussions I had with longtime colleagues, 338 00:17:04,720 --> 00:17:08,160 Speaker 2: people I truly believed were real friends, about the state 339 00:17:08,200 --> 00:17:11,000 Speaker 2: of my emotional well being suddenly appeared in the news 340 00:17:11,080 --> 00:17:15,880 Speaker 2: stories crediting blind sources with quote direct knowledge wrapped in betrayal. 341 00:17:15,920 --> 00:17:18,080 Speaker 2: I could count on one hand the number of people 342 00:17:18,119 --> 00:17:20,440 Speaker 2: I believed I could talk to you. Honestly, I had 343 00:17:20,480 --> 00:17:21,560 Speaker 2: never felt more alone. 344 00:17:23,080 --> 00:17:24,120 Speaker 1: What does that bring back? 345 00:17:26,200 --> 00:17:29,159 Speaker 2: That was at the bottom, That was the bottom, That 346 00:17:29,320 --> 00:17:32,919 Speaker 2: was the bottom. I resigned, I think a day after 347 00:17:33,280 --> 00:17:33,920 Speaker 2: that passage. 348 00:17:34,040 --> 00:17:35,360 Speaker 1: Adler told you to resign. 349 00:17:35,480 --> 00:17:37,000 Speaker 3: Norman Adler told me to resign. 350 00:17:37,119 --> 00:17:39,040 Speaker 1: I've just said the governor is a big boy. 351 00:17:39,280 --> 00:17:42,040 Speaker 2: Yep, he's a big boy. My longtime mentor said, he's 352 00:17:42,080 --> 00:17:42,600 Speaker 2: a big boy. 353 00:17:42,640 --> 00:17:44,280 Speaker 3: He can do it. You've got to get yourself out 354 00:17:44,280 --> 00:17:46,840 Speaker 3: of ra former partner, my father's former business partner. 355 00:17:46,920 --> 00:17:47,200 Speaker 4: Yeah. 356 00:17:47,560 --> 00:17:50,000 Speaker 2: And he said to me at that time, which I 357 00:17:50,040 --> 00:17:53,399 Speaker 2: do think was true and prescient. He said, in a 358 00:17:53,480 --> 00:17:55,640 Speaker 2: year or two, people are going to look back and 359 00:17:55,720 --> 00:17:58,040 Speaker 2: see this all differently. They're going to recognize it for 360 00:17:58,119 --> 00:18:01,440 Speaker 2: the hysteria that it is, and he will figure this out. 361 00:18:01,480 --> 00:18:04,040 Speaker 2: But today, you've got to get yourself out of there. 362 00:18:04,400 --> 00:18:09,399 Speaker 1: Right when you say there, each with an agenda of 363 00:18:09,440 --> 00:18:12,399 Speaker 1: their own. Yep. I'm going to assume based on my 364 00:18:12,480 --> 00:18:16,520 Speaker 1: own experience from knowing people in political life and flirting 365 00:18:16,520 --> 00:18:19,399 Speaker 1: with going into publics myself years ago, and this kind 366 00:18:19,440 --> 00:18:21,720 Speaker 1: of thing that there's just nothing like that world. When 367 00:18:21,720 --> 00:18:25,280 Speaker 1: there's blood in the water, when they see that you're wounded, yep, 368 00:18:25,480 --> 00:18:27,399 Speaker 1: they all go to high ground. They're all gone. 369 00:18:27,520 --> 00:18:30,720 Speaker 2: They're gone, and each of them have their eye on 370 00:18:30,920 --> 00:18:33,320 Speaker 2: their own brass ring. You know, if you're out of 371 00:18:33,359 --> 00:18:35,720 Speaker 2: the way, then the next person can move up, and 372 00:18:35,760 --> 00:18:37,080 Speaker 2: that means I can move up. 373 00:18:37,160 --> 00:18:38,520 Speaker 3: And if those people. 374 00:18:38,320 --> 00:18:40,399 Speaker 2: Are out of the top jobs and are no longer 375 00:18:40,400 --> 00:18:43,280 Speaker 2: a chief of staff or commissioners or whatever, then then 376 00:18:43,400 --> 00:18:46,000 Speaker 2: other crop of people we can put in those positions. 377 00:18:46,040 --> 00:18:49,680 Speaker 2: And so that day that I reflect on in the book, 378 00:18:49,960 --> 00:18:52,080 Speaker 2: that's what I said, I had never felt more alone, 379 00:18:52,119 --> 00:18:54,119 Speaker 2: and I didn't know who I could trust. And you 380 00:18:54,240 --> 00:18:57,680 Speaker 2: go from one end where during COVID you're these national 381 00:18:57,840 --> 00:19:01,160 Speaker 2: international heroes that the world is relying on to get 382 00:19:01,200 --> 00:19:04,399 Speaker 2: through the day, and then you swing a year later 383 00:19:05,080 --> 00:19:07,320 Speaker 2: and people are trying to force you out with the 384 00:19:07,359 --> 00:19:12,480 Speaker 2: sort of created you know, manufactured scandal and how quickly 385 00:19:12,560 --> 00:19:13,520 Speaker 2: you're disposable. 386 00:19:14,040 --> 00:19:16,159 Speaker 3: And it was a really terrible time. 387 00:19:16,480 --> 00:19:18,480 Speaker 2: And it was after a year of dealing with COVID 388 00:19:18,520 --> 00:19:20,480 Speaker 2: as I write in the book, I was sleeping three 389 00:19:20,520 --> 00:19:23,639 Speaker 2: hour nights, hard work, laying on the floor of my office, 390 00:19:23,640 --> 00:19:25,600 Speaker 2: and crying at the end of the day after calling 391 00:19:25,720 --> 00:19:29,159 Speaker 2: the family members of the healthcare workers who died, struggling 392 00:19:29,240 --> 00:19:31,480 Speaker 2: with my mental health on the weight of the decisions 393 00:19:31,520 --> 00:19:33,600 Speaker 2: we were making, literally life and death. And then it's 394 00:19:33,640 --> 00:19:36,359 Speaker 2: like fast forward a year and a half later, and 395 00:19:36,680 --> 00:19:37,520 Speaker 2: this is how you. 396 00:19:37,440 --> 00:19:39,440 Speaker 3: Think public You were married at the time. 397 00:19:39,720 --> 00:19:42,119 Speaker 2: I was married at the beginning of COVID, and but 398 00:19:42,200 --> 00:19:44,480 Speaker 2: we were separated, which I also talked about in the book. 399 00:19:44,800 --> 00:19:47,199 Speaker 2: We were separated. We told, we said to each other, 400 00:19:47,240 --> 00:19:48,760 Speaker 2: we weren't going to tell anyone was going on. I 401 00:19:48,800 --> 00:19:51,600 Speaker 2: was getting a ton of media attention. I could I 402 00:19:51,640 --> 00:19:54,280 Speaker 2: didn't want it to be in the tabloids. Yeah, and 403 00:19:54,320 --> 00:19:59,720 Speaker 2: so I was struggling with you knowed my marriage, Yes. 404 00:20:00,080 --> 00:20:02,159 Speaker 3: I could have, but no. 405 00:20:02,280 --> 00:20:04,760 Speaker 2: And so it was, you know, struggling with that isolation 406 00:20:05,000 --> 00:20:07,480 Speaker 2: and not only separating from my husband and my marriage 407 00:20:07,520 --> 00:20:09,800 Speaker 2: falling apart, but also sort of lying to everyone around 408 00:20:09,880 --> 00:20:12,040 Speaker 2: us about the state of our marriage because we didn't 409 00:20:12,040 --> 00:20:15,320 Speaker 2: want the public attention, we didn't want the scrutiny. So, yeah, 410 00:20:15,359 --> 00:20:18,280 Speaker 2: it was that those two years is like nothing I've 411 00:20:18,280 --> 00:20:20,320 Speaker 2: ever experienced and wish on nobody. 412 00:20:21,119 --> 00:20:23,439 Speaker 1: And when your marriage ended, it seemed like from what 413 00:20:23,520 --> 00:20:25,919 Speaker 1: was in the book that you you that he was 414 00:20:27,160 --> 00:20:29,520 Speaker 1: basically laying his cards on the table that you weren't 415 00:20:29,520 --> 00:20:32,480 Speaker 1: available to him. Yes, work was your mistress. 416 00:20:32,720 --> 00:20:35,840 Speaker 2: Yes, essentially, Well, we met together at work. I was 417 00:20:35,840 --> 00:20:39,080 Speaker 2: technically his boss, and we started dating while at work. 418 00:20:39,200 --> 00:20:42,080 Speaker 2: And then actual no no for Quoma Andrew. 419 00:20:42,240 --> 00:20:43,160 Speaker 1: What was he doing for him? 420 00:20:43,280 --> 00:20:45,840 Speaker 2: He was his press secretary and I was communications director, 421 00:20:46,240 --> 00:20:48,480 Speaker 2: so I was directly his boss. And he asked me out, 422 00:20:48,560 --> 00:20:51,000 Speaker 2: and we had dinner thirty nights in a row, and 423 00:20:51,040 --> 00:20:52,879 Speaker 2: he wanted to be my boyfriend, and I said I 424 00:20:52,880 --> 00:20:55,280 Speaker 2: can't do that because it's technically not allowed. 425 00:20:55,320 --> 00:20:56,600 Speaker 1: And he you did warn him. 426 00:20:56,640 --> 00:20:59,800 Speaker 2: I did warn him, and you know, then he leaves 427 00:20:59,840 --> 00:21:02,199 Speaker 2: the we get married, and as it turned out, and 428 00:21:02,240 --> 00:21:05,160 Speaker 2: I think this is true for people in general, sometimes 429 00:21:05,200 --> 00:21:07,440 Speaker 2: you come to this realization that the glue that held 430 00:21:07,520 --> 00:21:10,000 Speaker 2: us together was work, and we were no longer working together, 431 00:21:10,480 --> 00:21:12,640 Speaker 2: and so when we weren't in that same environment day 432 00:21:12,680 --> 00:21:15,359 Speaker 2: to day, we just didn't have that same connection and 433 00:21:15,440 --> 00:21:17,560 Speaker 2: interests and we started to grow apart. 434 00:21:18,040 --> 00:21:19,480 Speaker 3: But I said to him and I write about this 435 00:21:19,520 --> 00:21:19,840 Speaker 3: in the book. 436 00:21:19,880 --> 00:21:21,480 Speaker 2: At one point when we got into an argument and 437 00:21:21,520 --> 00:21:23,200 Speaker 2: I said, it's not like I you know, there was 438 00:21:23,280 --> 00:21:24,639 Speaker 2: deceptive marketing here. 439 00:21:25,240 --> 00:21:27,600 Speaker 3: You met me at work. I came as advertised. 440 00:21:28,119 --> 00:21:30,360 Speaker 2: But you know, you push as much as you can, 441 00:21:30,440 --> 00:21:32,000 Speaker 2: you hold on as long as you can, and then 442 00:21:32,040 --> 00:21:34,320 Speaker 2: at a certain point, you know, such as life. 443 00:21:35,160 --> 00:21:37,880 Speaker 1: I want to go back to You're born in Rochester 444 00:21:38,040 --> 00:21:38,600 Speaker 1: or Albany. 445 00:21:38,680 --> 00:21:39,800 Speaker 3: No, I was born in Rochester. 446 00:21:39,920 --> 00:21:41,120 Speaker 1: What was your dad doing there? Then? 447 00:21:41,400 --> 00:21:44,440 Speaker 3: He was district director for Louis Slaughter, who was a congresswoman. 448 00:21:44,600 --> 00:21:45,560 Speaker 3: I know Louis yep. 449 00:21:45,680 --> 00:21:48,080 Speaker 2: So I started off, you know, four year old kid 450 00:21:48,119 --> 00:21:51,280 Speaker 2: on the campaign trail with dad, learning about politics young 451 00:21:51,840 --> 00:21:54,360 Speaker 2: and as his career evolved over time, and it brought 452 00:21:54,400 --> 00:21:56,520 Speaker 2: him to Albany, and we moved our family to Albany. 453 00:21:56,960 --> 00:21:59,120 Speaker 2: You know, I was alongside him every step of the way. 454 00:21:59,160 --> 00:22:02,520 Speaker 2: I considered us to be partners. I was reading multiple 455 00:22:02,560 --> 00:22:05,520 Speaker 2: newspapers at twelve, and I was, you know, shadowing him 456 00:22:05,520 --> 00:22:08,520 Speaker 2: in the Capitol at fourteen and watching meet the press 457 00:22:08,560 --> 00:22:10,360 Speaker 2: since I, you know, was like able to. 458 00:22:10,400 --> 00:22:14,359 Speaker 3: Hold a thought, and so goes to Washington. No. 459 00:22:14,640 --> 00:22:16,760 Speaker 2: Well, when Sawner was in Washington and she was a congresswoman. 460 00:22:16,880 --> 00:22:20,920 Speaker 2: He was, he worked for her, but in regious in Rochester. Yeah, 461 00:22:21,160 --> 00:22:22,359 Speaker 2: but then he you know, went. 462 00:22:22,240 --> 00:22:24,480 Speaker 1: To gold say Capital, you would go with him to Washington. 463 00:22:24,560 --> 00:22:26,439 Speaker 2: No, No, I'm saying. Then when we moved to Albany 464 00:22:26,440 --> 00:22:28,040 Speaker 2: and he was doing business in Albany in. 465 00:22:28,040 --> 00:22:31,320 Speaker 3: The state, what did you start doing there? He was political. 466 00:22:30,840 --> 00:22:33,440 Speaker 2: Director for the Public Employees Federation, which is one of 467 00:22:33,440 --> 00:22:35,800 Speaker 2: the biggest unions in the country. So yeah, so he 468 00:22:35,840 --> 00:22:38,280 Speaker 2: took up the union movement and he spent years and 469 00:22:38,440 --> 00:22:41,880 Speaker 2: years doing union politics, and so I would shadow him 470 00:22:41,920 --> 00:22:44,199 Speaker 2: there and I just I had an early love for 471 00:22:44,280 --> 00:22:45,199 Speaker 2: politics and government. 472 00:22:45,240 --> 00:22:47,000 Speaker 3: It was just in my blood too. 473 00:22:48,160 --> 00:22:52,520 Speaker 1: But when you're working with your father in Albany, when 474 00:22:52,840 --> 00:22:55,600 Speaker 1: did you begin to get a sense of something that 475 00:22:55,640 --> 00:22:58,160 Speaker 1: I'm always mindful of because you know, the Brennan Center 476 00:22:58,200 --> 00:23:01,000 Speaker 1: for Justice and then my law school that I worked 477 00:23:01,040 --> 00:23:04,120 Speaker 1: with very closely years ago about campaign finance reform, YEP. 478 00:23:04,560 --> 00:23:07,320 Speaker 1: They would write a paper every year, and one paper 479 00:23:07,320 --> 00:23:09,359 Speaker 1: they wrote several years ago, many years ago, was about 480 00:23:09,400 --> 00:23:11,840 Speaker 1: an evaluation of all the fifty state houses in the 481 00:23:11,920 --> 00:23:15,440 Speaker 1: United States YEP, and the fiftieth and always the fiftieth 482 00:23:15,480 --> 00:23:19,440 Speaker 1: and probably forever. The fiftieth was Louisiana and forty. 483 00:23:19,200 --> 00:23:21,960 Speaker 3: Ninth always need it. Albany, yep, they said it. 484 00:23:21,960 --> 00:23:26,359 Speaker 1: In terms of effectiveness, corruption, yep, mismanagement, you name it. 485 00:23:26,440 --> 00:23:28,600 Speaker 1: That said this is one of the worst state houses. 486 00:23:29,200 --> 00:23:31,000 Speaker 1: What was it when you were there? Did you pick 487 00:23:31,080 --> 00:23:33,720 Speaker 1: up on that? Why is Albany so dysfunctional? 488 00:23:33,880 --> 00:23:36,480 Speaker 2: There was a period and it's interesting because I feel 489 00:23:36,520 --> 00:23:38,919 Speaker 2: like the governor hasn't Cuomo hasn't gotten enough credit for this. 490 00:23:39,040 --> 00:23:42,040 Speaker 2: But the campaign finance laws in New York are the 491 00:23:42,080 --> 00:23:45,200 Speaker 2: most ridiculous of any anything in the country, not the city, 492 00:23:45,240 --> 00:23:48,520 Speaker 2: but the state. I mean, individual contribution limits at sixty 493 00:23:48,520 --> 00:23:50,520 Speaker 2: grand a person. You know, you can There was an 494 00:23:50,760 --> 00:23:52,880 Speaker 2: LLC loophole for a long time where a person gets 495 00:23:52,880 --> 00:23:55,439 Speaker 2: set up fifteen LLC's and give two hundred grand up, 496 00:23:55,640 --> 00:23:57,680 Speaker 2: you know, a pop through each of their LLC's, which 497 00:23:57,680 --> 00:23:59,600 Speaker 2: a lot of these real estate guys actually did. 498 00:24:00,000 --> 00:24:02,000 Speaker 3: I mean, it sounds ridiculous, but they actually did exploit 499 00:24:02,040 --> 00:24:02,560 Speaker 3: it and do it. 500 00:24:02,920 --> 00:24:04,600 Speaker 2: And so over the years, I think we've done a 501 00:24:04,600 --> 00:24:08,119 Speaker 2: pretty decent job of reigning it in. In twenty nineteen, 502 00:24:08,600 --> 00:24:10,960 Speaker 2: so right before, you know, two years before we resigned, 503 00:24:11,000 --> 00:24:14,119 Speaker 2: we actually enacted a public campaign finance system, which is 504 00:24:14,160 --> 00:24:17,439 Speaker 2: supposed to go in effect for this upcoming election. And 505 00:24:17,480 --> 00:24:19,480 Speaker 2: what's interesting is for a long time we couldn't get 506 00:24:19,480 --> 00:24:22,360 Speaker 2: it done because the Republicans in the Senate were against it. Finally, 507 00:24:22,400 --> 00:24:25,040 Speaker 2: the stars aligned, we had the Democratic Senate and Assembly 508 00:24:25,040 --> 00:24:26,760 Speaker 2: and we were going to get this done. And then 509 00:24:26,840 --> 00:24:29,360 Speaker 2: last year, when we were out of office, the legislature 510 00:24:29,480 --> 00:24:34,119 Speaker 2: actually watered down the public campaign finance limits and the 511 00:24:34,240 --> 00:24:37,120 Speaker 2: rules in order to allow more money back into the system, 512 00:24:37,200 --> 00:24:40,520 Speaker 2: and the governor signed that bill. And so it's interesting 513 00:24:40,600 --> 00:24:42,800 Speaker 2: to watch because Democrats, you know, have a lot of 514 00:24:42,800 --> 00:24:45,040 Speaker 2: swagger when it comes to talking about these issues, but 515 00:24:45,040 --> 00:24:46,680 Speaker 2: then when they're in charge, they want to do everything 516 00:24:46,720 --> 00:24:47,159 Speaker 2: they can. 517 00:24:47,080 --> 00:24:48,280 Speaker 3: To stay in charge. 518 00:24:48,520 --> 00:24:51,439 Speaker 2: So, you know, I do think that that step was 519 00:24:51,440 --> 00:24:53,200 Speaker 2: a step in the right direction, and we'll see how 520 00:24:53,240 --> 00:24:56,920 Speaker 2: it goes. But you know, I blame the campaign finance laws. 521 00:24:57,000 --> 00:25:01,480 Speaker 1: As do why because by nature, I'm sure and I've 522 00:25:01,520 --> 00:25:04,679 Speaker 1: examined this quite deeply because of my commitment to campaign 523 00:25:04,760 --> 00:25:09,160 Speaker 1: finance reform. I've written papers, I've given speeches in Congress 524 00:25:09,520 --> 00:25:13,160 Speaker 1: where I've mentioned how campaign finance reform is the lynchpin 525 00:25:13,240 --> 00:25:14,560 Speaker 1: of all the problems in this country. 526 00:25:14,640 --> 00:25:14,840 Speaker 3: Yeah. 527 00:25:14,880 --> 00:25:16,440 Speaker 1: Absolutely, you're never going to get people to come and 528 00:25:16,480 --> 00:25:19,119 Speaker 1: run for Incumbency is too powerful. And with that in mind, 529 00:25:19,440 --> 00:25:22,480 Speaker 1: I'm not telling you anything fresh. This is your career. 530 00:25:22,600 --> 00:25:25,000 Speaker 1: But I said I was never a term limits person. 531 00:25:25,320 --> 00:25:27,760 Speaker 1: But when you say to me, when these idiots say 532 00:25:27,800 --> 00:25:31,080 Speaker 1: to me that elections are themselves term limits, I want 533 00:25:31,080 --> 00:25:33,639 Speaker 1: to go, well, not really, incumbency is such. I mean 534 00:25:33,640 --> 00:25:36,560 Speaker 1: people who like to take Hogel. Hogel assumes office in 535 00:25:36,600 --> 00:25:39,680 Speaker 1: twenty twenty one. When he resigns, she's eligible for her 536 00:25:39,680 --> 00:25:42,840 Speaker 1: own full term the following year, and she gets elected 537 00:25:42,840 --> 00:25:45,240 Speaker 1: to a full term, so she gets what she's craving 538 00:25:45,840 --> 00:25:48,719 Speaker 1: like Patterson. But Patterson did not win a full term. 539 00:25:48,760 --> 00:25:49,800 Speaker 3: Patterson did not want to right. 540 00:25:49,720 --> 00:25:54,280 Speaker 1: Which which I truly truly thought that Hogel would not 541 00:25:54,320 --> 00:25:55,080 Speaker 1: win a full term. 542 00:25:55,160 --> 00:25:57,920 Speaker 2: She almost didn't. I mean, when you look at the numbers, 543 00:25:58,000 --> 00:26:01,480 Speaker 2: it's crazy. An a state in New York where there's 544 00:26:01,520 --> 00:26:05,000 Speaker 2: only twenty two percent statewide registered Republicans. 545 00:26:05,359 --> 00:26:06,960 Speaker 3: The guy that was running against her. 546 00:26:06,920 --> 00:26:12,600 Speaker 2: Lee Zelden, is a maga election denial Yeah, anti choice, 547 00:26:12,680 --> 00:26:17,880 Speaker 2: you know, just the worst across its yes, everything, and 548 00:26:18,040 --> 00:26:21,359 Speaker 2: he she only beats him by five points after she 549 00:26:21,520 --> 00:26:25,320 Speaker 2: raised a record sixty million dollars, which just I think 550 00:26:25,359 --> 00:26:28,040 Speaker 2: goes to show you how little support she actually does have. 551 00:26:28,119 --> 00:26:30,240 Speaker 2: And I actually think the only reason she eked it 552 00:26:30,240 --> 00:26:32,720 Speaker 2: out in the end was because all of a sudden, 553 00:26:32,720 --> 00:26:35,240 Speaker 2: the tabloids were saying Zelden could win, Zelden could Winzelden 554 00:26:35,240 --> 00:26:37,639 Speaker 2: who could win? So I started hearing from people that 555 00:26:37,720 --> 00:26:40,200 Speaker 2: I know that didn't like her at all, but said, 556 00:26:40,359 --> 00:26:42,719 Speaker 2: I have to turn out or else we could end 557 00:26:42,800 --> 00:26:45,040 Speaker 2: up with like a mini Trump in the governor's office. 558 00:26:45,080 --> 00:26:47,720 Speaker 2: So I think the fear that was created by the 559 00:26:47,760 --> 00:26:50,560 Speaker 2: New York Post, which they thought was beneficial to them 560 00:26:50,560 --> 00:26:52,480 Speaker 2: in momentum, I think, blew up in their face and 561 00:26:52,520 --> 00:26:54,720 Speaker 2: actually created a wave where a lot of people turned 562 00:26:54,720 --> 00:26:57,000 Speaker 2: out to vote who otherwise would have stayed home. But 563 00:26:57,080 --> 00:26:58,960 Speaker 2: she just eked it out. I mean, for New York, 564 00:26:59,359 --> 00:27:02,040 Speaker 2: we used to when you know, by fifteen twenty points, 565 00:27:02,280 --> 00:27:04,359 Speaker 2: and for her to win with five against someone like 566 00:27:04,400 --> 00:27:06,040 Speaker 2: that in a state like this is crazy. 567 00:27:06,520 --> 00:27:09,960 Speaker 1: Hochel wins. And I'm wondering with your knowledge of state 568 00:27:10,040 --> 00:27:13,239 Speaker 1: politics when someone like Hochel wins re election even though 569 00:27:13,280 --> 00:27:17,240 Speaker 1: it was by a paltry margin, who are her supporters 570 00:27:17,280 --> 00:27:21,639 Speaker 1: Now who's behind her, What organizations, institution's political powers does 571 00:27:21,680 --> 00:27:22,760 Speaker 1: she have in her pocket? Now? 572 00:27:23,560 --> 00:27:26,960 Speaker 2: You know, look, it's people who have a direct interest 573 00:27:27,000 --> 00:27:28,680 Speaker 2: in whatever is going to get done in Albany. It's 574 00:27:28,720 --> 00:27:32,800 Speaker 2: incredibly transactional. So whoever needs something from her is going 575 00:27:32,840 --> 00:27:37,320 Speaker 2: to continue to support her. But what I find fascinating is, 576 00:27:37,600 --> 00:27:39,680 Speaker 2: you know, I don't really see the women's groups out 577 00:27:39,680 --> 00:27:42,160 Speaker 2: with that much energy. I actually just saw Sienna came 578 00:27:42,160 --> 00:27:44,199 Speaker 2: out with a poll a couple of weeks ago with 579 00:27:44,320 --> 00:27:47,920 Speaker 2: her latest numbers women, she's forty four, forty two. I mean, 580 00:27:48,200 --> 00:27:51,040 Speaker 2: she barely has you know, supportive women in this state. 581 00:27:51,080 --> 00:27:55,080 Speaker 2: She's underwater with almost every category in the state, in 582 00:27:55,119 --> 00:27:58,240 Speaker 2: a state that's this democratic, and so she doesn't have 583 00:27:58,400 --> 00:28:01,280 Speaker 2: a lot of support from actual people, where she has 584 00:28:01,280 --> 00:28:04,320 Speaker 2: supporters from lobbyists, from interest groups who've got an agenda 585 00:28:04,359 --> 00:28:07,960 Speaker 2: at Albany. Yeah, well and barely. I mean, they'll support 586 00:28:08,040 --> 00:28:10,199 Speaker 2: her in so far as they'll fill her campaign coffer, 587 00:28:10,280 --> 00:28:12,760 Speaker 2: but it's not like you know, the reason Zelden got 588 00:28:12,800 --> 00:28:15,639 Speaker 2: so close is because union workers, specifically those in the 589 00:28:15,640 --> 00:28:18,800 Speaker 2: building trades and other blue collar areas, turned out and 590 00:28:18,840 --> 00:28:21,679 Speaker 2: voted for Zelden. So the leadership may be aligned with 591 00:28:21,720 --> 00:28:24,240 Speaker 2: her politically and in terms of filling her coffers and 592 00:28:24,240 --> 00:28:26,399 Speaker 2: taking meetings with her and holding events for her, but 593 00:28:26,440 --> 00:28:27,680 Speaker 2: their members aren't with her. 594 00:28:28,320 --> 00:28:30,840 Speaker 1: I remember people would explain to me, because my family, 595 00:28:30,880 --> 00:28:33,120 Speaker 1: a big chunk of my family lives in upstate New York. 596 00:28:34,080 --> 00:28:37,959 Speaker 1: Many people who analyzed state politics and would regard Cuomo 597 00:28:38,040 --> 00:28:40,960 Speaker 1: a certain way thought he'd done something, you know, very 598 00:28:40,960 --> 00:28:43,800 Speaker 1: shrewd and very very practical, which was, you know, the 599 00:28:43,840 --> 00:28:45,960 Speaker 1: five boroughs you got in your pocket, that's blue, blue, blue. 600 00:28:46,200 --> 00:28:48,440 Speaker 1: Not thing's ever going to change that. And Long Island 601 00:28:48,480 --> 00:28:50,680 Speaker 1: is red, red red. There might be some little ribbons 602 00:28:50,680 --> 00:28:52,520 Speaker 1: there that are but you're never going to deliver a 603 00:28:52,520 --> 00:28:55,440 Speaker 1: serious number of Democratic votes on Long Island. Now, the 604 00:28:55,760 --> 00:28:58,600 Speaker 1: real orchard for votes is Central New York and Upstate 605 00:28:58,640 --> 00:29:01,840 Speaker 1: New York. And the Cuomo learned to play center Republicans 606 00:29:01,880 --> 00:29:05,160 Speaker 1: and manipulate center Republicans and got votes in passed legislation. 607 00:29:05,480 --> 00:29:08,880 Speaker 1: And although his numbers, mind that have been dramatically different. 608 00:29:09,320 --> 00:29:11,040 Speaker 1: He put a lot of his attention and a lot 609 00:29:11,040 --> 00:29:13,880 Speaker 1: of the state's money into Upstate New York. Is that true? 610 00:29:14,000 --> 00:29:14,200 Speaker 3: Yeah? 611 00:29:14,280 --> 00:29:17,080 Speaker 2: No, He focused a tremendous He believed that Upstate New 612 00:29:17,160 --> 00:29:19,320 Speaker 2: York got short shrift for a long time. It did, 613 00:29:19,400 --> 00:29:21,400 Speaker 2: and so when he came into office, he said, I'm 614 00:29:21,400 --> 00:29:24,240 Speaker 2: going to reorient the power structure, and I'm going to 615 00:29:24,240 --> 00:29:29,080 Speaker 2: put a lot more time, attention and money into Buffalo, Syracuse, Albany, Rochester, 616 00:29:29,320 --> 00:29:32,480 Speaker 2: the North Country, the Southern Tier, yep. And so we 617 00:29:32,560 --> 00:29:35,080 Speaker 2: spent a lot of time trying to build up the 618 00:29:35,120 --> 00:29:38,880 Speaker 2: local economies, trying to revitalize those downtowns. But you know, 619 00:29:39,160 --> 00:29:41,920 Speaker 2: when we were there, we got the support of Long Island. 620 00:29:42,120 --> 00:29:45,160 Speaker 2: It's really interesting. The other night, you know, everyone said 621 00:29:45,280 --> 00:29:48,400 Speaker 2: watch Ohio, Watch Virginia. When I was watching the returns 622 00:29:48,440 --> 00:29:51,320 Speaker 2: come in, I said, no, no, no, watch Suffolk County, because 623 00:29:51,320 --> 00:29:54,120 Speaker 2: that to me is bellweather. You know, like, now all 624 00:29:54,240 --> 00:29:56,960 Speaker 2: the Long Island to your point is now completely read. 625 00:29:57,240 --> 00:30:00,440 Speaker 2: Whereas when we ran in twenty eighteen Andrew Cuomo one 626 00:30:00,520 --> 00:30:03,480 Speaker 2: both NASA and Suffolk. There were democratic county executives of 627 00:30:03,560 --> 00:30:06,680 Speaker 2: Nasau and Suffolk. And so to me, watching Long Island 628 00:30:06,800 --> 00:30:08,760 Speaker 2: is sort of like a bell weather for the suburbs 629 00:30:08,800 --> 00:30:12,200 Speaker 2: around the country. Yeah, and so I keep my eye 630 00:30:12,240 --> 00:30:14,160 Speaker 2: on Long Island because I think so goes Long Island, 631 00:30:14,200 --> 00:30:16,600 Speaker 2: so goes the country. And it's interesting because I think 632 00:30:16,600 --> 00:30:19,080 Speaker 2: that people paid way too much attention to what happened 633 00:30:19,120 --> 00:30:22,080 Speaker 2: on that abortion referendum in Ohio, which of course that 634 00:30:22,200 --> 00:30:25,560 Speaker 2: was going to win Roe v. Wade polls at seventy percent. Nationwide, 635 00:30:25,600 --> 00:30:28,120 Speaker 2: the Republicans are wildly out of step on that issue. 636 00:30:28,200 --> 00:30:29,520 Speaker 2: So when you put it on a ballot in a 637 00:30:29,560 --> 00:30:32,160 Speaker 2: place like Ohio, it didn't shock me that it passed 638 00:30:32,200 --> 00:30:34,040 Speaker 2: with fifty seven percent. In fact, I was surprised it 639 00:30:34,040 --> 00:30:36,320 Speaker 2: didn't go with sixty percent. But I was like, look 640 00:30:36,320 --> 00:30:40,040 Speaker 2: at Virginia the legislature which did hold democratic went democratic. 641 00:30:40,280 --> 00:30:42,680 Speaker 2: But then also look at what happened in Suffolk County, 642 00:30:42,720 --> 00:30:45,640 Speaker 2: And that's where I think politically going into next year, 643 00:30:45,760 --> 00:30:47,360 Speaker 2: we need to keep our eye on is what's going 644 00:30:47,440 --> 00:30:49,920 Speaker 2: to happen in the suburbs, because that will decide the elections. 645 00:30:52,840 --> 00:30:57,120 Speaker 1: Melissa de Rosa, if you're enjoying this conversation, tell a 646 00:30:57,160 --> 00:31:00,360 Speaker 1: friend and be sure to follow here's the thing on 647 00:31:00,400 --> 00:31:05,400 Speaker 1: the iHeartRadio app, Spotify, or wherever you get your podcasts. 648 00:31:05,960 --> 00:31:08,960 Speaker 1: When we come back, Melissa DeRosa tells us why she 649 00:31:09,120 --> 00:31:13,720 Speaker 1: believes that Trump will be president again and what we 650 00:31:13,800 --> 00:31:26,200 Speaker 1: might do to prevent it. I'm Alec Baldwin, and you're 651 00:31:26,200 --> 00:31:30,600 Speaker 1: listening to here's the thing. As Director of Communications, chief 652 00:31:30,640 --> 00:31:34,000 Speaker 1: of Staff, and then Secretary to the Governor of New York, 653 00:31:34,080 --> 00:31:38,280 Speaker 1: Melissa de Rosa has held multiple positions of tremendous power 654 00:31:38,520 --> 00:31:42,520 Speaker 1: and influence, yet her college days happened to play a 655 00:31:42,640 --> 00:31:45,720 Speaker 1: significant role in her path to state government. 656 00:31:46,520 --> 00:31:47,360 Speaker 3: I went to Cornell. 657 00:31:47,520 --> 00:31:50,720 Speaker 2: I am a true upstate girl, born in Rochester, lived 658 00:31:50,720 --> 00:31:54,600 Speaker 2: in Saratoga. In Albany, I did Industrial and labor relations, 659 00:31:54,600 --> 00:31:57,080 Speaker 2: which is unions. They have a very specific course on 660 00:31:57,200 --> 00:32:01,120 Speaker 2: negotiating arbitration, you know, the union world that I did undergrad, 661 00:32:01,480 --> 00:32:03,880 Speaker 2: and then I did my master's there too, in public administration. 662 00:32:04,040 --> 00:32:06,160 Speaker 1: So you said the major is in we again. 663 00:32:06,080 --> 00:32:07,720 Speaker 3: Industrial and labor relations. 664 00:32:08,040 --> 00:32:09,680 Speaker 1: Is it safe to say the Cornell with that kind 665 00:32:09,680 --> 00:32:12,920 Speaker 1: of program as a pipeline to Albany. 666 00:32:12,120 --> 00:32:16,560 Speaker 2: It's exactly from that school, exactly We've been waiting for you. 667 00:32:16,720 --> 00:32:18,160 Speaker 3: Yes, that's exactly right now. 668 00:32:18,160 --> 00:32:20,480 Speaker 1: When you finished, did you you got a graduate degree. 669 00:32:20,600 --> 00:32:22,840 Speaker 2: I took a couple of years off in between, and 670 00:32:22,880 --> 00:32:25,160 Speaker 2: then went back. I went to d C. And I 671 00:32:25,200 --> 00:32:27,000 Speaker 2: worked for a Member of Congress on the Hill as 672 00:32:27,000 --> 00:32:30,520 Speaker 2: her press secretary. I managed the Nity of Alaskaz from Brooklyn, 673 00:32:31,320 --> 00:32:33,680 Speaker 2: and I managed a couple of campaigns. 674 00:32:33,760 --> 00:32:35,080 Speaker 3: I was doing communications. 675 00:32:35,120 --> 00:32:37,320 Speaker 2: I actually did a very brief stint right out of 676 00:32:37,320 --> 00:32:40,000 Speaker 2: college and fashion, which my father. 677 00:32:39,800 --> 00:32:42,040 Speaker 3: Was not thrilled. I did that for about a year. 678 00:32:42,680 --> 00:32:45,880 Speaker 3: It was like my moment of rebellion. I always loved fashion. 679 00:32:45,960 --> 00:32:47,720 Speaker 2: I met somebody who offered me a job as a 680 00:32:47,760 --> 00:32:50,120 Speaker 2: fashion polysist for theory theory. 681 00:32:50,200 --> 00:32:53,120 Speaker 3: Yeah, yeah, they're doing well, Yeah, they're doing great. And 682 00:32:53,160 --> 00:32:55,240 Speaker 3: so I made some money there. I could have made 683 00:32:55,240 --> 00:32:56,560 Speaker 3: some money there. I loved it. 684 00:32:56,560 --> 00:32:58,840 Speaker 2: That's how I learned about page six and about you know, 685 00:32:59,000 --> 00:33:01,040 Speaker 2: all of these various place I see the cool people 686 00:33:01,080 --> 00:33:03,840 Speaker 2: hang out with York. And then I went into politics, 687 00:33:03,880 --> 00:33:05,520 Speaker 2: and I was like fashion to politics sort of a 688 00:33:05,560 --> 00:33:09,160 Speaker 2: lateral move, but no, so otherwise I've just been doing this, 689 00:33:09,240 --> 00:33:11,960 Speaker 2: you know, since I was literally almost in diapers. 690 00:33:12,480 --> 00:33:16,440 Speaker 1: Incredible, just talking to you for forty five minutes. Your 691 00:33:16,440 --> 00:33:19,280 Speaker 1: brain is like that twelve cylinder engine that I see 692 00:33:19,280 --> 00:33:21,719 Speaker 1: with so many people in your field, which is a 693 00:33:21,760 --> 00:33:24,080 Speaker 1: mastery of both facts and perspectives. 694 00:33:24,440 --> 00:33:25,720 Speaker 3: Well, thank you. 695 00:33:25,880 --> 00:33:28,360 Speaker 1: The mastery of both, which is like, here's what the 696 00:33:28,400 --> 00:33:30,040 Speaker 1: facts are and here's so I want you to understand 697 00:33:30,080 --> 00:33:32,360 Speaker 1: them and how I want to shape the discussion with 698 00:33:32,400 --> 00:33:35,560 Speaker 1: you often leads to people being you know, there's really 699 00:33:35,640 --> 00:33:38,160 Speaker 1: no place else for them to go. The type of 700 00:33:38,200 --> 00:33:40,800 Speaker 1: person who not just goes into your field, but they 701 00:33:40,880 --> 00:33:43,640 Speaker 1: go into your field and they excel a certain kind 702 00:33:43,680 --> 00:33:46,080 Speaker 1: of a you know that they just have their brain 703 00:33:46,160 --> 00:33:49,120 Speaker 1: is seething all the time with all this information. Did 704 00:33:49,200 --> 00:33:52,400 Speaker 1: you at any point think you wanted out you wanted 705 00:33:52,400 --> 00:33:56,320 Speaker 1: to get out? No? Never, never. If you could see 706 00:33:56,320 --> 00:34:01,000 Speaker 1: her face right now, it's priceless, she's like, no, no, actually, no. 707 00:34:01,480 --> 00:34:02,239 Speaker 3: Yeah, well there was. 708 00:34:02,440 --> 00:34:04,800 Speaker 2: There was one point I almost left the governor in 709 00:34:04,840 --> 00:34:07,320 Speaker 2: the summer of twenty twenty, after the first wave of 710 00:34:07,400 --> 00:34:10,840 Speaker 2: COVID had sort of normalized, and we were incredibly close 711 00:34:10,920 --> 00:34:14,120 Speaker 2: with then Vice President Biden and his team, and there 712 00:34:14,200 --> 00:34:16,120 Speaker 2: was a period of time where the governor and I 713 00:34:16,160 --> 00:34:18,320 Speaker 2: were talking to their team about me leaving the governor 714 00:34:18,320 --> 00:34:20,520 Speaker 2: and going to work on Biden's team for the end 715 00:34:20,640 --> 00:34:24,680 Speaker 2: sprint of the election. And I almost left in August 716 00:34:24,760 --> 00:34:27,000 Speaker 2: of twenty twenty to do that, but then decided that 717 00:34:27,360 --> 00:34:29,440 Speaker 2: New York wasn't done with COVID, there was probably going 718 00:34:29,480 --> 00:34:30,480 Speaker 2: to be a second wave. 719 00:34:30,280 --> 00:34:32,960 Speaker 3: And that I could be more of more use in 720 00:34:33,000 --> 00:34:34,399 Speaker 3: New York to the people of New York. 721 00:34:34,800 --> 00:34:36,719 Speaker 2: And I think about all the time if I had 722 00:34:36,840 --> 00:34:39,640 Speaker 2: done that and left in August of twenty twenty and 723 00:34:39,640 --> 00:34:41,880 Speaker 2: I wouldn't have been there for any of the scandal, 724 00:34:41,920 --> 00:34:44,080 Speaker 2: any of that twenty twenty one, what would it have 725 00:34:44,160 --> 00:34:46,840 Speaker 2: looked like? And I often think about, you know what, 726 00:34:47,000 --> 00:34:48,960 Speaker 2: I have been better off with my life have been different, 727 00:34:49,000 --> 00:34:52,040 Speaker 2: But you know what, I stayed there until we turned 728 00:34:52,040 --> 00:34:54,279 Speaker 2: off the lights, and I'm proud of the loyalty and 729 00:34:54,320 --> 00:34:55,880 Speaker 2: the commitment. And at the end of the day, I 730 00:34:55,880 --> 00:34:57,880 Speaker 2: don't think I would have traded it in because people 731 00:34:58,000 --> 00:35:01,759 Speaker 2: needed somebody there who could stilby laser focused and get 732 00:35:01,760 --> 00:35:04,560 Speaker 2: the government going while we're doing the vaccines and everything else. 733 00:35:05,200 --> 00:35:08,360 Speaker 1: Of course, lots of my conversations are a very armchair 734 00:35:09,080 --> 00:35:11,000 Speaker 1: with friends of mine who are not in charge of 735 00:35:11,000 --> 00:35:13,719 Speaker 1: public policy. They're not government officials and so forth, state 736 00:35:13,800 --> 00:35:16,759 Speaker 1: or a federal but they're powerful business people. They're people 737 00:35:16,800 --> 00:35:19,880 Speaker 1: who are worth billions of dollars. And I work with 738 00:35:19,920 --> 00:35:23,640 Speaker 1: them in certain charitable organizations typically and things like that, 739 00:35:23,719 --> 00:35:25,680 Speaker 1: and some are my friends, and you know, they give 740 00:35:25,719 --> 00:35:29,520 Speaker 1: me that very thumbnail view that COVID pushes a significant 741 00:35:29,600 --> 00:35:31,919 Speaker 1: number of people out of the city. Yep, they leave. 742 00:35:32,160 --> 00:35:35,160 Speaker 1: The revenue of the city is lower than it's been 743 00:35:35,239 --> 00:35:39,160 Speaker 1: in forever. Yes, and the costs to fix the city 744 00:35:39,200 --> 00:35:40,239 Speaker 1: are higher than ever. 745 00:35:40,440 --> 00:35:40,760 Speaker 3: Yes. 746 00:35:41,239 --> 00:35:43,359 Speaker 1: And we have a mayor in New York who, rather 747 00:35:43,440 --> 00:35:46,719 Speaker 1: than getting into any diatribe about him one thing, I 748 00:35:46,760 --> 00:35:48,960 Speaker 1: see him here and there, and I'm always aware where 749 00:35:49,000 --> 00:35:51,560 Speaker 1: he's going at night. You always knew what social event 750 00:35:51,600 --> 00:35:54,560 Speaker 1: he was at. But you don't hear one vowel or 751 00:35:54,680 --> 00:35:57,360 Speaker 1: consonant about what he intends to do about the financial 752 00:35:57,400 --> 00:35:59,400 Speaker 1: crisis in the city. What are they going to do? 753 00:36:00,000 --> 00:36:03,160 Speaker 2: So he's in a terrible position, and I actually feel 754 00:36:03,200 --> 00:36:06,920 Speaker 2: for him because the revenues are down. He's making drastic 755 00:36:07,120 --> 00:36:10,160 Speaker 2: cuts to the state agencies which are going to end 756 00:36:10,239 --> 00:36:13,000 Speaker 2: up ultimately hurting the city. And it's not because he 757 00:36:13,080 --> 00:36:15,279 Speaker 2: wants to, but it's because he's got nowhere else to go. 758 00:36:15,360 --> 00:36:17,560 Speaker 2: I mean, we're back to sort of ten cup, you know, 759 00:36:17,719 --> 00:36:21,239 Speaker 2: of the seventies. And I think that if we don't 760 00:36:21,239 --> 00:36:24,279 Speaker 2: get the crime problem under control, and they can hit 761 00:36:24,320 --> 00:36:26,759 Speaker 2: me with NYPDS stats till they're blue in the face, 762 00:36:26,800 --> 00:36:28,719 Speaker 2: the city does not feel as safe as it did 763 00:36:28,840 --> 00:36:31,680 Speaker 2: ten years ago, five years ago, between that and the 764 00:36:31,719 --> 00:36:35,000 Speaker 2: migrant crisis and the homeless crisis. If they don't start 765 00:36:35,040 --> 00:36:37,160 Speaker 2: to get some of these things out under control, you're 766 00:36:37,160 --> 00:36:39,960 Speaker 2: going to continue to see outward migration, which is then 767 00:36:40,000 --> 00:36:42,399 Speaker 2: going to make the problem even worse. And I think 768 00:36:42,400 --> 00:36:44,719 Speaker 2: that he's sort of right now underwater, especially with the 769 00:36:44,719 --> 00:36:47,440 Speaker 2: migrant crisis, which by the way, was created by the 770 00:36:47,440 --> 00:36:51,000 Speaker 2: federal government unilaterally with their changes to the border policies, 771 00:36:51,040 --> 00:36:52,640 Speaker 2: and then we're sort of dealing with the brunt of 772 00:36:52,640 --> 00:36:54,440 Speaker 2: it and not getting the money and not getting the 773 00:36:54,440 --> 00:36:56,960 Speaker 2: help or the resources. So he's bogged down with that, 774 00:36:57,000 --> 00:36:59,560 Speaker 2: which I really sympathize on. But you know, this is 775 00:36:59,600 --> 00:37:03,080 Speaker 2: what I've said before, It's like, post COVID A crisis 776 00:37:03,120 --> 00:37:06,160 Speaker 2: is an opportunity re envision what New York is going 777 00:37:06,200 --> 00:37:08,440 Speaker 2: to be for the next generation. How do we attract 778 00:37:08,600 --> 00:37:11,400 Speaker 2: some of these industries, these growing businesses. How do we 779 00:37:11,480 --> 00:37:13,600 Speaker 2: get younger people wanting to come here, How do we 780 00:37:13,640 --> 00:37:15,359 Speaker 2: get people to stay here? How do we get people 781 00:37:15,360 --> 00:37:18,439 Speaker 2: who left to come back? And those conversations aren't had. 782 00:37:19,040 --> 00:37:23,000 Speaker 1: We need to eliminate the real estate vacancy exemption. And 783 00:37:23,000 --> 00:37:25,160 Speaker 1: then if you can't ride off. 784 00:37:25,680 --> 00:37:26,760 Speaker 3: If you've got a vacant building. 785 00:37:26,800 --> 00:37:28,319 Speaker 1: You have a vacant building, you can only write it 786 00:37:28,320 --> 00:37:29,920 Speaker 1: off for a certain period. And I don't care if 787 00:37:29,920 --> 00:37:31,520 Speaker 1: you put a sneaker store in there and it was 788 00:37:31,560 --> 00:37:34,239 Speaker 1: an art gallery before, I don't care. Yeah, okay, you 789 00:37:34,280 --> 00:37:36,560 Speaker 1: need to be income producing in that building and paying taxes. 790 00:37:36,680 --> 00:37:38,719 Speaker 2: Yes, And I also think we need to and if 791 00:37:38,719 --> 00:37:40,799 Speaker 2: there's a real problem that's structural, then we need to 792 00:37:40,800 --> 00:37:43,239 Speaker 2: put incentives in place to get people in where then 793 00:37:43,239 --> 00:37:45,480 Speaker 2: they're starting to make money and then they stay in 794 00:37:45,560 --> 00:37:49,320 Speaker 2: for five ten year releases. But no one's having these conversations. 795 00:37:49,600 --> 00:37:51,359 Speaker 2: You and I are having it sitting in a sound booth. 796 00:37:51,400 --> 00:37:54,080 Speaker 2: But this should be the conversation that's driving Kathy Hochele 797 00:37:54,160 --> 00:37:57,279 Speaker 2: and Eric Adams, and instead we don't hear much. 798 00:37:57,360 --> 00:38:00,520 Speaker 1: That's terrible. With the time we have left. I'm assuming 799 00:38:00,520 --> 00:38:02,880 Speaker 1: you've got a very mixed response to the book. People 800 00:38:02,880 --> 00:38:03,400 Speaker 1: who were. 801 00:38:03,440 --> 00:38:06,400 Speaker 2: You know, it's incredible. It's actually been like ninety ten positive. 802 00:38:06,680 --> 00:38:09,200 Speaker 2: And I was really bracing for the other way around, 803 00:38:09,560 --> 00:38:11,719 Speaker 2: because there were a lot of people who chased us 804 00:38:11,760 --> 00:38:13,520 Speaker 2: out of office, and a lot of people who are 805 00:38:13,640 --> 00:38:16,239 Speaker 2: very loud on social media, who you know, don't like 806 00:38:16,280 --> 00:38:18,360 Speaker 2: the governor and want to see him dead and gone, 807 00:38:18,760 --> 00:38:21,920 Speaker 2: And so I was really bracing, But outside of one 808 00:38:22,080 --> 00:38:24,480 Speaker 2: or two outlets, it's really been very positive. 809 00:38:24,520 --> 00:38:25,400 Speaker 3: It's been heartening. 810 00:38:25,440 --> 00:38:27,200 Speaker 1: Actually, well, let me ask you this. I mean, the 811 00:38:27,239 --> 00:38:29,160 Speaker 1: answer is probably an obvious one, but I want to 812 00:38:29,160 --> 00:38:33,239 Speaker 1: hear your answer. You describe the scene when all this 813 00:38:33,320 --> 00:38:37,040 Speaker 1: stuff you bring the message to the governor and there's 814 00:38:37,040 --> 00:38:39,680 Speaker 1: a back and forth and he says, fuck Maureen Dowd. 815 00:38:40,160 --> 00:38:43,000 Speaker 1: Why was Maureen Dowdy in your opinion someone like that? 816 00:38:43,200 --> 00:38:45,480 Speaker 1: Why are some of the leading lights of the left 817 00:38:45,520 --> 00:38:47,280 Speaker 1: side of the aisle so cruel? 818 00:38:48,200 --> 00:38:50,520 Speaker 2: You know? I feel like that period of time, and 819 00:38:50,560 --> 00:38:52,480 Speaker 2: I have an entire chapter in the book called Media 820 00:38:52,560 --> 00:38:55,000 Speaker 2: Circus where I sort of go through the media's role 821 00:38:55,040 --> 00:38:58,560 Speaker 2: in the takedown of the administration, and it had become 822 00:38:58,600 --> 00:39:01,799 Speaker 2: an arms race, absolute arms race. And you know what 823 00:39:01,840 --> 00:39:03,920 Speaker 2: it is to get wrapped up in these media cycles 824 00:39:03,920 --> 00:39:06,880 Speaker 2: where they're just unrelenting, and you read things in a 825 00:39:06,920 --> 00:39:08,760 Speaker 2: paper and you're like, really, that's what happened. 826 00:39:08,800 --> 00:39:11,320 Speaker 3: No it didn't. I was efer, now, yeah, exactly. 827 00:39:11,360 --> 00:39:14,560 Speaker 2: You know, there's no standards, there's everything in that blne source, 828 00:39:14,600 --> 00:39:17,080 Speaker 2: there's no truth in the press, you know all of it, 829 00:39:17,120 --> 00:39:20,040 Speaker 2: and we had gotten into this place where you know, 830 00:39:20,080 --> 00:39:22,680 Speaker 2: and again the manipulation of what Tiss James did in 831 00:39:22,719 --> 00:39:25,040 Speaker 2: her report was she used this number eleven, and so 832 00:39:25,160 --> 00:39:28,000 Speaker 2: nobody even paid attention to the details. And when you 833 00:39:28,040 --> 00:39:30,560 Speaker 2: actually pull back the curtain and you see eight or 834 00:39:30,640 --> 00:39:33,759 Speaker 2: nine of the eleven, our plain vanilla meet and greet, 835 00:39:33,840 --> 00:39:36,840 Speaker 2: kiss on the cheek. Okay, maybe you shouldn't call someone's sweetheart, 836 00:39:36,880 --> 00:39:38,440 Speaker 2: but you have to resign because of that, Like that 837 00:39:38,560 --> 00:39:40,640 Speaker 2: was one of the eleven. You know, putting your hands 838 00:39:40,640 --> 00:39:42,680 Speaker 2: on someone's face at a wedding as you're taking a 839 00:39:42,680 --> 00:39:45,480 Speaker 2: photograph with him, These were one of the eleven. And 840 00:39:45,520 --> 00:39:48,600 Speaker 2: so I think what happened was then she drops the report. 841 00:39:48,800 --> 00:39:52,120 Speaker 2: She says, the number eleven. No one looks through the report, 842 00:39:52,320 --> 00:39:54,879 Speaker 2: nobody reads the report, nobody cares about the details. Where 843 00:39:54,880 --> 00:39:57,680 Speaker 2: there's smoke, there's fire, Oh my god, eleven. You've got 844 00:39:57,760 --> 00:39:59,759 Speaker 2: to resign. And everyone who has stood by him is 845 00:39:59,800 --> 00:40:03,839 Speaker 2: an enabler. And Joe Biden actually went out who had 846 00:40:03,840 --> 00:40:06,880 Speaker 2: been a good friend of Andrew Cuomo's for twenty years, 847 00:40:07,000 --> 00:40:08,520 Speaker 2: good friend of Mary O Cuomo's. 848 00:40:08,680 --> 00:40:10,400 Speaker 3: Andrew Cuomo was a good friend with his son Bo, 849 00:40:10,520 --> 00:40:12,680 Speaker 3: who died. When Bo died, Andrew Cuomo was the first 850 00:40:12,680 --> 00:40:15,960 Speaker 3: person online at the week. You know, these relationships went 851 00:40:16,000 --> 00:40:20,040 Speaker 3: back decades. And in the moments after this report comes out, 852 00:40:20,120 --> 00:40:23,279 Speaker 3: Joe Biden goes out and says, eleven women. I didn't 853 00:40:23,280 --> 00:40:26,000 Speaker 3: read the report, but I saw the press conference He's 854 00:40:26,040 --> 00:40:29,200 Speaker 3: got to resign, and that created this stampede of all 855 00:40:29,239 --> 00:40:32,360 Speaker 3: the politicians saying he's got to go, and the press. 856 00:40:32,800 --> 00:40:34,959 Speaker 3: You know, it was all over this. So mooring doubt 857 00:40:35,000 --> 00:40:37,040 Speaker 3: I write about in that in the book. 858 00:40:37,080 --> 00:40:39,440 Speaker 2: That was actually what pushed me to resign, because I 859 00:40:39,480 --> 00:40:42,080 Speaker 2: woke up that Sunday morning and my mother called me 860 00:40:42,360 --> 00:40:45,759 Speaker 2: and she had just Hitler's enabler and she called me 861 00:40:45,800 --> 00:40:47,520 Speaker 2: and she said, did you see this? And I said, Mom, 862 00:40:47,960 --> 00:40:49,360 Speaker 2: how many times I told you not to read the 863 00:40:49,400 --> 00:40:51,520 Speaker 2: New York Post? And she said, no, no, no, no, it 864 00:40:51,520 --> 00:40:54,920 Speaker 2: was the New York Times. Yeah, exactly, you straighten there out. 865 00:40:55,440 --> 00:40:57,840 Speaker 2: She said, no, it's more in doubt. And she wrote 866 00:40:57,920 --> 00:41:00,279 Speaker 2: this whole column comparing me and a bunch of my 867 00:41:00,320 --> 00:41:04,000 Speaker 2: other colleagues and Chris Qualmo and these people to Hitler's enablers, 868 00:41:04,360 --> 00:41:08,080 Speaker 2: and also to Harvey Weinstein's enablers, and I couldn't take 869 00:41:08,120 --> 00:41:08,680 Speaker 2: it anymore. 870 00:41:08,920 --> 00:41:10,600 Speaker 3: I was like enabling what. 871 00:41:10,800 --> 00:41:12,680 Speaker 2: Kissing someone on the cheek, by the way, which is 872 00:41:12,719 --> 00:41:15,560 Speaker 2: something I see politicians do every day today while I'm 873 00:41:15,560 --> 00:41:18,000 Speaker 2: sitting here with you, And so it just it was 874 00:41:18,040 --> 00:41:22,879 Speaker 2: a moment of hysteria and political opportunism, and I think 875 00:41:22,920 --> 00:41:25,120 Speaker 2: the state has suffered as a result, because I think 876 00:41:25,120 --> 00:41:27,560 Speaker 2: it lost one of the greatest executives it's ever had. 877 00:41:27,719 --> 00:41:28,960 Speaker 3: And the proof is in the pudding. 878 00:41:29,000 --> 00:41:30,799 Speaker 2: I mean, look where we are today versus where we 879 00:41:30,800 --> 00:41:32,440 Speaker 2: were pre COVID, It's not even close. 880 00:41:33,280 --> 00:41:35,640 Speaker 1: What was the reaction you got from women about being 881 00:41:35,680 --> 00:41:36,920 Speaker 1: a defender of promos? 882 00:41:37,480 --> 00:41:39,640 Speaker 2: You know, the reaction I got from women in real 883 00:41:39,680 --> 00:41:43,240 Speaker 2: time versus the reaction today is very stark and couldn't 884 00:41:43,280 --> 00:41:47,080 Speaker 2: be more different back then. It was even from my girlfriends, Missy, 885 00:41:47,200 --> 00:41:49,640 Speaker 2: what are you doing? You know, Melissa, what are you thinking? 886 00:41:49,640 --> 00:41:51,440 Speaker 2: You shouldn't stand by him, You need to separate yourself 887 00:41:51,440 --> 00:41:54,120 Speaker 2: from him. And today so many people say, you know, 888 00:41:54,360 --> 00:41:57,200 Speaker 2: he was screwed and he was railroaded. And it's great 889 00:41:57,280 --> 00:42:00,600 Speaker 2: to see a strong woman who can actually see nuance 890 00:42:00,680 --> 00:42:03,399 Speaker 2: and gray and not just head for the hills and 891 00:42:03,520 --> 00:42:06,520 Speaker 2: push back on some of this nonsense. And again it's 892 00:42:06,560 --> 00:42:08,840 Speaker 2: not that I'm saying I don't believe these women. I 893 00:42:08,880 --> 00:42:10,640 Speaker 2: believe eight or nine of them. There are photographs of 894 00:42:10,640 --> 00:42:13,319 Speaker 2: these intractions. They were all in public spaces. It was 895 00:42:13,360 --> 00:42:15,840 Speaker 2: the hysteria of it that I never allowed myself to 896 00:42:15,880 --> 00:42:18,440 Speaker 2: succumb to, and so many women today. I mean, you 897 00:42:18,440 --> 00:42:20,719 Speaker 2: should walk down the street with Andrew Cuomo in Manhattan, 898 00:42:20,760 --> 00:42:23,680 Speaker 2: the you know reception he gets from people pulling over 899 00:42:23,760 --> 00:42:26,160 Speaker 2: to take photographs and you were relroaded and run again 900 00:42:26,239 --> 00:42:27,800 Speaker 2: and when when are you going to run again? 901 00:42:27,840 --> 00:42:29,520 Speaker 3: And so I think that now. 902 00:42:29,360 --> 00:42:32,120 Speaker 2: That the fog of COVID has cleared and the hysteria 903 00:42:32,160 --> 00:42:34,160 Speaker 2: as well behind us, people look back at it with 904 00:42:34,200 --> 00:42:37,560 Speaker 2: a much more sober assessment that was just not afforded 905 00:42:37,560 --> 00:42:38,760 Speaker 2: to anybody in real. 906 00:42:38,640 --> 00:42:41,800 Speaker 1: Time when I read the book. And you can comment 907 00:42:41,840 --> 00:42:45,160 Speaker 1: on this. You know, your your ex husband complained about 908 00:42:45,200 --> 00:42:49,640 Speaker 1: your you know, ceaseless focus on your job. And I 909 00:42:49,719 --> 00:42:52,000 Speaker 1: understand that because there's people when you get married, you 910 00:42:52,400 --> 00:42:53,439 Speaker 1: either get me or you don't. 911 00:42:53,719 --> 00:42:55,400 Speaker 3: Yep, what would you do differently? 912 00:42:55,400 --> 00:42:55,920 Speaker 1: If anything? 913 00:42:57,160 --> 00:42:57,960 Speaker 3: You know, there's a. 914 00:42:57,880 --> 00:43:01,160 Speaker 2: Lot of probably micro things I would differently, you know, 915 00:43:01,400 --> 00:43:03,080 Speaker 2: when people ask me during COVID. You know, if you 916 00:43:03,080 --> 00:43:04,640 Speaker 2: look back and would you do things differently? And I 917 00:43:04,640 --> 00:43:06,719 Speaker 2: say I would do everything differently now that I you know, 918 00:43:06,719 --> 00:43:09,160 Speaker 2: because we were dealing in imperfect information and now knowing 919 00:43:09,200 --> 00:43:12,560 Speaker 2: what we know now retrospectively, but on a macro sense, 920 00:43:12,600 --> 00:43:14,880 Speaker 2: and maybe this, you know, I'm such a screwed up 921 00:43:14,960 --> 00:43:17,200 Speaker 2: human being that I would say this. But I don't 922 00:43:17,239 --> 00:43:20,319 Speaker 2: know that I would make any macro moves differently. Yes, 923 00:43:20,600 --> 00:43:24,200 Speaker 2: I sacrificed my personal life. Yes I dealt with infertility. 924 00:43:24,680 --> 00:43:27,200 Speaker 2: I'm forty one years old and single right now. But 925 00:43:27,440 --> 00:43:29,200 Speaker 2: you know what, I got to be there to lead 926 00:43:29,239 --> 00:43:31,680 Speaker 2: the world through COVID. I got to make a difference 927 00:43:31,680 --> 00:43:34,280 Speaker 2: in people's lives by doing a fifteen dollars minimum wage 928 00:43:34,280 --> 00:43:38,360 Speaker 2: and being part of overhauling LaGuardia. Everything work princes legislation, 929 00:43:38,600 --> 00:43:41,920 Speaker 2: and you know it's I see the contributions, the physical 930 00:43:41,920 --> 00:43:45,320 Speaker 2: contributions in Moynihand Station and LaGuardia Airport, in JFK and 931 00:43:45,360 --> 00:43:46,879 Speaker 2: the Marioquimal Bridge, and I. 932 00:43:46,800 --> 00:43:48,680 Speaker 3: Don't know that I would give any of that up. 933 00:43:48,719 --> 00:43:50,840 Speaker 2: I mean what, I have tried to be more present, 934 00:43:51,560 --> 00:43:54,640 Speaker 2: somewhat sure, But I also think we lie to ourselves 935 00:43:54,640 --> 00:43:57,480 Speaker 2: when we say, you know, time is zero sum, and 936 00:43:57,520 --> 00:44:00,400 Speaker 2: I was really really good at what I did, but 937 00:44:00,440 --> 00:44:02,920 Speaker 2: it's because I dedicated all of myself. And I'm not 938 00:44:02,920 --> 00:44:05,319 Speaker 2: sure I would have been as effective and been as 939 00:44:05,320 --> 00:44:07,759 Speaker 2: successful as I was, as young as I was if 940 00:44:07,760 --> 00:44:09,360 Speaker 2: I ever took my foot off the gas. 941 00:44:09,840 --> 00:44:11,799 Speaker 3: And that's just the reality. 942 00:44:12,280 --> 00:44:14,600 Speaker 2: So I think Macro, I'd probably do it all the 943 00:44:14,640 --> 00:44:16,680 Speaker 2: same micro, I'd make a lot of little changes. 944 00:44:17,239 --> 00:44:19,680 Speaker 1: You want to get back in there, Oh, for sure 945 00:44:19,800 --> 00:44:20,160 Speaker 1: you do. 946 00:44:20,480 --> 00:44:24,280 Speaker 3: I love public service and coming along with the service 947 00:44:24,400 --> 00:44:26,840 Speaker 3: or politics, both they go hand in hand. 948 00:44:27,000 --> 00:44:30,400 Speaker 1: You seem to avoid that word. You said public service twice. 949 00:44:30,600 --> 00:44:33,240 Speaker 2: Politics, government, public service, they all go hand in hand. 950 00:44:33,840 --> 00:44:35,440 Speaker 2: And you know what people say to me, what are 951 00:44:35,480 --> 00:44:38,000 Speaker 2: you crazy? You were batted around like a pinata, and 952 00:44:38,040 --> 00:44:39,319 Speaker 2: the press they chased you. 953 00:44:39,400 --> 00:44:41,040 Speaker 3: I had paparazzi hounding me. 954 00:44:41,680 --> 00:44:43,840 Speaker 2: And the reality is, you get in the ring, you 955 00:44:43,880 --> 00:44:45,360 Speaker 2: know you're going to get punched in the face. 956 00:44:45,760 --> 00:44:47,359 Speaker 3: But who's standing at the end. 957 00:44:47,880 --> 00:44:50,680 Speaker 2: And I think that doing good in the world and 958 00:44:50,719 --> 00:44:52,840 Speaker 2: making these contributions is worth getting punched in the. 959 00:44:52,840 --> 00:44:55,120 Speaker 3: Face a little. So develop a skin, you develop a 960 00:44:55,160 --> 00:44:55,640 Speaker 3: thick skin. 961 00:44:56,360 --> 00:44:57,520 Speaker 1: Do you think Trump's going to win? 962 00:44:58,239 --> 00:45:02,719 Speaker 2: I do today here today, Yes, I mean, and you've 963 00:45:02,719 --> 00:45:05,680 Speaker 2: got Jill Stein just announced Joe Manchin's retiring. 964 00:45:05,719 --> 00:45:06,279 Speaker 3: What's he up to? 965 00:45:06,400 --> 00:45:07,920 Speaker 2: Is he going to run on the no party you know, 966 00:45:08,040 --> 00:45:12,839 Speaker 2: no labels party ticket? These battleground state poles this far out, 967 00:45:12,920 --> 00:45:14,880 Speaker 2: I know everyone wants to be dismissive of them. I 968 00:45:14,880 --> 00:45:17,360 Speaker 2: think we should be sounding the alarm. I think unless 969 00:45:17,400 --> 00:45:19,680 Speaker 2: we make some changes fast, and we start to engage 970 00:45:19,719 --> 00:45:21,880 Speaker 2: with real people and get more in tune with what 971 00:45:22,000 --> 00:45:25,719 Speaker 2: matters to them, mainly pocketbook issues, gas prices, I think 972 00:45:25,719 --> 00:45:27,360 Speaker 2: we're looking at an upset and I'm not sure this 973 00:45:27,400 --> 00:45:29,640 Speaker 2: country can survive another four years of Donald Trump. 974 00:45:29,719 --> 00:45:31,799 Speaker 1: Yeah, I totally. I mean Hillary came out so that 975 00:45:31,840 --> 00:45:33,200 Speaker 1: the other day it'll be the end of the country. 976 00:45:33,239 --> 00:45:33,879 Speaker 3: Yeah, it'll be the. 977 00:45:33,880 --> 00:45:36,799 Speaker 1: End, which is just which is something It's interesting to 978 00:45:36,840 --> 00:45:39,840 Speaker 1: me that people think that the United States is immune 979 00:45:39,840 --> 00:45:42,040 Speaker 1: to that kind of thing, that that it can't happen here, 980 00:45:42,080 --> 00:45:44,800 Speaker 1: that the country can't morph into something that's unrecognizable. 981 00:45:45,000 --> 00:45:46,880 Speaker 2: I mean, we saw it on January sixth, we saw 982 00:45:46,920 --> 00:45:49,600 Speaker 2: a preview. So if he's back in power and people 983 00:45:49,640 --> 00:45:52,800 Speaker 2: are granted immunity, and you know, all of a sudden, 984 00:45:52,880 --> 00:45:55,239 Speaker 2: he's embracing real life Nazis and things like he was 985 00:45:55,239 --> 00:45:56,160 Speaker 2: doing in Charlottesville. 986 00:45:56,200 --> 00:45:57,160 Speaker 3: I mean, where's the end? 987 00:45:57,360 --> 00:45:59,280 Speaker 2: Like they sort of went a little bit more underground 988 00:45:59,320 --> 00:46:02,160 Speaker 2: since he's gone, But if he comes back, I mean, 989 00:46:02,360 --> 00:46:04,040 Speaker 2: I think it's going to be times ten what we 990 00:46:04,080 --> 00:46:05,719 Speaker 2: saw during his first. 991 00:46:05,520 --> 00:46:09,040 Speaker 1: And I obviously thought that he was going to be 992 00:46:09,200 --> 00:46:14,080 Speaker 1: in real trouble with the January sixth charges because dozens 993 00:46:14,120 --> 00:46:17,480 Speaker 1: of people have already been tried, convicted and sense for 994 00:46:17,560 --> 00:46:20,080 Speaker 1: that crime, and if you lump him in with them that. 995 00:46:20,800 --> 00:46:24,480 Speaker 1: I thought that the square footage there was vast because 996 00:46:24,480 --> 00:46:27,160 Speaker 1: of the other people that were convicted. But I think 997 00:46:27,320 --> 00:46:33,080 Speaker 1: nothing is more jerking and frenetic than speculation about politics. 998 00:46:33,160 --> 00:46:37,240 Speaker 1: Is Newsom's going to jump in, somebody gonn tap Biden 999 00:46:37,320 --> 00:46:39,040 Speaker 1: on the shoulder, and so you've got to get out now, 1000 00:46:39,680 --> 00:46:40,360 Speaker 1: I don't think so. 1001 00:46:40,440 --> 00:46:43,000 Speaker 2: I mean, Axelrod tried, you know, on Twitter or the 1002 00:46:43,040 --> 00:46:45,359 Speaker 2: other day David Axelrod said it's time we all come 1003 00:46:45,400 --> 00:46:47,960 Speaker 2: to terms with this, and the reaction from the party 1004 00:46:48,080 --> 00:46:50,000 Speaker 2: was not great, And so you know, I don't think 1005 00:46:50,080 --> 00:46:52,240 Speaker 2: Newsom's going to jump in. I don't think anyone serious 1006 00:46:52,320 --> 00:46:54,279 Speaker 2: is going to jump in. I think it's going to 1007 00:46:54,280 --> 00:46:56,000 Speaker 2: be what it is. The best thing we could do 1008 00:46:56,040 --> 00:46:59,120 Speaker 2: at this point is try to, you know, massage some 1009 00:46:59,200 --> 00:47:01,960 Speaker 2: of our messages and focus on some of these pocketbook 1010 00:47:02,000 --> 00:47:05,239 Speaker 2: issues and try to turn the conversation because just having 1011 00:47:05,280 --> 00:47:08,080 Speaker 2: an anti Trump dialogue is not going to be enough. 1012 00:47:08,719 --> 00:47:10,400 Speaker 3: It's not good to be against something. You've got to 1013 00:47:10,400 --> 00:47:11,439 Speaker 3: show people what you're for. 1014 00:47:11,600 --> 00:47:13,359 Speaker 2: And now that he's been in office for three years, 1015 00:47:13,400 --> 00:47:16,000 Speaker 2: it's what have you done for me lately? And a 1016 00:47:16,040 --> 00:47:19,200 Speaker 2: lot of his legislative accomplishments are great, but we're not 1017 00:47:19,200 --> 00:47:20,879 Speaker 2: going to feel the effects of them for three four 1018 00:47:20,960 --> 00:47:23,600 Speaker 2: five years, and people feel economically worse off. 1019 00:47:23,760 --> 00:47:25,680 Speaker 3: What you know, Wall Street isn't doing as well. 1020 00:47:26,120 --> 00:47:28,640 Speaker 2: Inflation is still out of control, so interest rates are 1021 00:47:28,680 --> 00:47:30,040 Speaker 2: up when you're trying to buy a house, and so, 1022 00:47:30,480 --> 00:47:33,080 Speaker 2: you know, people start to glorify the past. 1023 00:47:33,200 --> 00:47:34,759 Speaker 3: Oh, when Trump was there, it wasn't this. 1024 00:47:34,840 --> 00:47:38,560 Speaker 2: Bad, and oh, by the way, you know, how much 1025 00:47:38,560 --> 00:47:40,359 Speaker 2: worse can it get? And so then you get into 1026 00:47:40,400 --> 00:47:42,880 Speaker 2: this bad place where you forget how bad it was. 1027 00:47:43,040 --> 00:47:45,080 Speaker 2: You forget that we had a lunatic in the White 1028 00:47:45,080 --> 00:47:47,880 Speaker 2: House who was you know, tweeting these crazy things, and 1029 00:47:47,920 --> 00:47:50,040 Speaker 2: the things he said about women and the things that 1030 00:47:50,160 --> 00:47:52,560 Speaker 2: the supporters he embraced, and you sort of wash all 1031 00:47:52,600 --> 00:47:53,840 Speaker 2: of that away with time. 1032 00:47:54,320 --> 00:47:56,520 Speaker 3: And so I am. I'm petrified, and I think more 1033 00:47:56,560 --> 00:47:57,239 Speaker 3: people should be. 1034 00:47:57,520 --> 00:47:59,640 Speaker 1: Yeah. When I even when I live in New York, 1035 00:47:59,680 --> 00:48:01,960 Speaker 1: I woke at the door and I say, these four 1036 00:48:02,000 --> 00:48:04,440 Speaker 1: people over here voted for Biden, and these four people 1037 00:48:04,440 --> 00:48:07,920 Speaker 1: over here voted for Trump, and those two to finish 1038 00:48:08,000 --> 00:48:11,000 Speaker 1: not the ten percent image and those two were undecided. 1039 00:48:11,200 --> 00:48:11,839 Speaker 3: Yeah, but it. 1040 00:48:11,800 --> 00:48:14,279 Speaker 1: Still means of the voting population, half of these people 1041 00:48:14,400 --> 00:48:16,760 Speaker 1: voted for Trump, even in New York City, I believe. 1042 00:48:16,960 --> 00:48:18,960 Speaker 2: Yeah, no, the numbers are not And like you know, 1043 00:48:19,000 --> 00:48:21,720 Speaker 2: New York City, you would think Trump should go. Seventy 1044 00:48:21,880 --> 00:48:24,759 Speaker 2: thirty is where they should go. And you know it's 1045 00:48:25,200 --> 00:48:27,360 Speaker 2: just and again keep your eye on Long Island. I 1046 00:48:27,400 --> 00:48:30,759 Speaker 2: look at that bellwether the rhetor gets, the scarier it is, 1047 00:48:30,880 --> 00:48:31,600 Speaker 2: so we'll see. 1048 00:48:31,840 --> 00:48:35,320 Speaker 1: I thought Ronald Reagan was a president who said to people, 1049 00:48:36,000 --> 00:48:38,360 Speaker 1: you know, you want to have a swimming pool, and 1050 00:48:38,400 --> 00:48:40,360 Speaker 1: the federal government wants to tax you in such a 1051 00:48:40,360 --> 00:48:42,360 Speaker 1: way where they're going to give out clean condoms and 1052 00:48:42,440 --> 00:48:45,360 Speaker 1: needles to kids in New York City. And don't you 1053 00:48:45,400 --> 00:48:47,000 Speaker 1: think those kids in New York City should take care 1054 00:48:47,040 --> 00:48:49,799 Speaker 1: of themselves, and you should have a swimming pool. Tax 1055 00:48:49,840 --> 00:48:52,319 Speaker 1: policies should be adjusted where you pay less taxes and 1056 00:48:52,360 --> 00:48:55,160 Speaker 1: they'll be taken care of by somebody else. Churches, whatever, 1057 00:48:55,280 --> 00:48:58,120 Speaker 1: you deserve to have a second car or a swimming pool, 1058 00:48:58,160 --> 00:49:01,839 Speaker 1: it's your money. And Reagan freed people to go more 1059 00:49:01,840 --> 00:49:04,919 Speaker 1: greedy and more self directed. Trump is someone who's taken 1060 00:49:04,960 --> 00:49:06,720 Speaker 1: it to this unbelievable height. 1061 00:49:07,120 --> 00:49:07,560 Speaker 3: Oh yeah. 1062 00:49:07,680 --> 00:49:09,920 Speaker 1: What he said to people is you hate black people, 1063 00:49:10,360 --> 00:49:13,680 Speaker 1: you hate gay people, You have no use for women 1064 00:49:14,000 --> 00:49:15,920 Speaker 1: being You don't believe women should be equal men. 1065 00:49:16,160 --> 00:49:16,719 Speaker 3: Just say it. 1066 00:49:17,120 --> 00:49:19,000 Speaker 1: You should be able to say whatever you want. This 1067 00:49:19,040 --> 00:49:21,920 Speaker 1: is America, I mean a free speecher. So whatever ugly 1068 00:49:22,000 --> 00:49:24,839 Speaker 1: things they think you're saying, whatever you're saying they think 1069 00:49:24,880 --> 00:49:27,600 Speaker 1: are ugly to say, don't worry about them. Say whatever 1070 00:49:27,680 --> 00:49:31,879 Speaker 1: you feel. And that's why we hear hatred this drum beat. 1071 00:49:32,320 --> 00:49:34,560 Speaker 1: One last question for you, and that is I'm probably 1072 00:49:34,560 --> 00:49:37,560 Speaker 1: obviously teeing up the ball here. I wouldn't say one person, 1073 00:49:37,640 --> 00:49:41,480 Speaker 1: but among the people you've known, worked with, or encountered, 1074 00:49:42,200 --> 00:49:44,880 Speaker 1: name one politician you admire the most. 1075 00:49:45,160 --> 00:49:47,399 Speaker 3: One politician. Well, I think I have to say Andrew 1076 00:49:47,960 --> 00:49:49,920 Speaker 3: or else. That's true. 1077 00:49:50,280 --> 00:49:54,680 Speaker 2: You admire him look in terms of his ability, his effectiveness, 1078 00:49:54,840 --> 00:49:57,359 Speaker 2: but not even close, not even close. I can't name 1079 00:49:57,400 --> 00:50:00,600 Speaker 2: one other politician that comes close to the level of 1080 00:50:00,600 --> 00:50:03,160 Speaker 2: contributions he did during his time in office. 1081 00:50:03,480 --> 00:50:06,080 Speaker 1: I read this book. It is a fabulous book because 1082 00:50:06,120 --> 00:50:09,000 Speaker 1: it's a woman talking about her career and her life 1083 00:50:09,000 --> 00:50:10,960 Speaker 1: in the intersection in a way I don't really hear 1084 00:50:11,080 --> 00:50:13,360 Speaker 1: that often. When I do, it's not as well written. 1085 00:50:13,400 --> 00:50:15,239 Speaker 1: This is a very well written book. Your book is 1086 00:50:15,239 --> 00:50:16,280 Speaker 1: a really wonderful book. 1087 00:50:16,320 --> 00:50:18,520 Speaker 3: Thank you, Thank you so much. Thank you for coming on, 1088 00:50:18,680 --> 00:50:19,560 Speaker 3: Thank you for having me. 1089 00:50:24,200 --> 00:50:28,480 Speaker 1: My Thanks to Melissa de Rosa. This episode was recorded 1090 00:50:28,760 --> 00:50:32,759 Speaker 1: at CDM Studios in New York City. We're produced by 1091 00:50:32,840 --> 00:50:36,960 Speaker 1: Kathleen Russo, Zach MacNeice, and Maureen Hoban. Our engineer is 1092 00:50:36,960 --> 00:50:41,399 Speaker 1: Frank Imperial. Our social media manager is Danielle Gingrich. I'm 1093 00:50:41,440 --> 00:50:43,920 Speaker 1: Alec Baldwin. Here's the thing. Is brought to you by 1094 00:50:43,960 --> 00:50:45,480 Speaker 1: iHeart Radio. 1095 00:51:00,200 --> 00:51:01,399 Speaker 3: I don't come