1 00:00:01,080 --> 00:00:04,880 Speaker 1: Welcome to the Tutor Dixon Podcast. Today we have Lindsey 2 00:00:04,920 --> 00:00:08,280 Speaker 1: Boylan with us. She is the first woman to publicly 3 00:00:08,360 --> 00:00:12,680 Speaker 1: accuse New York Democratic Governor Andrew Cuomo of sexual harassment. 4 00:00:12,680 --> 00:00:16,400 Speaker 1: You might remember this is like the Emmy award winning governor, 5 00:00:16,440 --> 00:00:19,040 Speaker 1: because why would you get an Emmy for talking about 6 00:00:19,200 --> 00:00:21,040 Speaker 1: COVID and things that you do as a governor. But 7 00:00:21,480 --> 00:00:24,880 Speaker 1: I think that that's important to mention because that just 8 00:00:24,920 --> 00:00:27,960 Speaker 1: goes to show how much power he had. He had 9 00:00:28,000 --> 00:00:32,720 Speaker 1: the entire Hollywood establishment behind him. He still does, and 10 00:00:32,760 --> 00:00:36,320 Speaker 1: that's why it's important to have these conversations about powerful 11 00:00:36,320 --> 00:00:39,360 Speaker 1: people that take advantage of their position and why that 12 00:00:39,400 --> 00:00:43,559 Speaker 1: should be really disqualifying for future public office. I mean, 13 00:00:43,560 --> 00:00:46,120 Speaker 1: this is a guy who had to step away because 14 00:00:46,200 --> 00:00:48,080 Speaker 1: of what he had done, and yet here he is now. 15 00:00:48,320 --> 00:00:51,199 Speaker 1: For those of you who don't know, Andrew Cuomo has 16 00:00:51,240 --> 00:00:53,400 Speaker 1: announced that he is going to run for mayor of 17 00:00:53,520 --> 00:00:57,360 Speaker 1: New York City, and I think that's very devastating to 18 00:00:57,520 --> 00:01:00,080 Speaker 1: people who have been hurt by him. 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I'm glad to 46 00:02:31,120 --> 00:02:31,440 Speaker 2: be here. 47 00:02:32,360 --> 00:02:34,480 Speaker 1: It's you know, I think it's something that a lot 48 00:02:34,520 --> 00:02:38,440 Speaker 1: of women deal with. I remember when Carly Fiorino was 49 00:02:38,560 --> 00:02:42,600 Speaker 1: running for president and someone asked her about harassment, and 50 00:02:42,639 --> 00:02:46,839 Speaker 1: she said, every woman who has been in business has 51 00:02:46,919 --> 00:02:48,880 Speaker 1: experienced it. And I think a lot of people in 52 00:02:48,919 --> 00:02:52,280 Speaker 1: the country went no, But I think it's true. 53 00:02:53,480 --> 00:02:55,800 Speaker 2: That is true. Yeah. I mean I worked in the 54 00:02:55,800 --> 00:02:58,480 Speaker 2: public sector of private sector and you know, musical finance 55 00:02:58,520 --> 00:03:01,760 Speaker 2: after business school. And I like to say, I don't 56 00:03:01,800 --> 00:03:04,000 Speaker 2: like to say, but I say that we, each of us, 57 00:03:04,080 --> 00:03:06,359 Speaker 2: each of us women knows sexual harassment. I have had 58 00:03:06,360 --> 00:03:09,600 Speaker 2: some version of sexual harassment in every job I've had, 59 00:03:10,040 --> 00:03:14,520 Speaker 2: but it was never as pervasive and had the entire 60 00:03:14,720 --> 00:03:17,720 Speaker 2: system set up to be predatory towards the woman who 61 00:03:17,760 --> 00:03:20,320 Speaker 2: worked for him as when I worked for Andrew Cuomo. 62 00:03:20,400 --> 00:03:22,640 Speaker 2: So it was just of a magnitude that I can't 63 00:03:22,639 --> 00:03:23,600 Speaker 2: even fully explain. 64 00:03:24,600 --> 00:03:27,800 Speaker 1: That to me is the scary thing. I think it's different. 65 00:03:27,880 --> 00:03:32,440 Speaker 1: You know, I had experienced it in manufacturing, and I 66 00:03:32,480 --> 00:03:35,600 Speaker 1: have said before I worked at a family company and 67 00:03:35,920 --> 00:03:38,360 Speaker 1: one of the guys that I worked with on a 68 00:03:38,360 --> 00:03:42,960 Speaker 1: business trip was very inappropriate, and my dad was the 69 00:03:43,000 --> 00:03:45,160 Speaker 1: owner of the company. And I came back and I 70 00:03:45,200 --> 00:03:47,960 Speaker 1: explained him, and they were friends. And at the time 71 00:03:48,000 --> 00:03:50,440 Speaker 1: I was really kind of ticked because my dad's reaction 72 00:03:50,640 --> 00:03:52,240 Speaker 1: was you're going to deal with you your whole life, 73 00:03:52,240 --> 00:03:54,600 Speaker 1: so go in and deal with it. And I was like, wow, 74 00:03:54,680 --> 00:03:57,080 Speaker 1: that's such a jerk thing. But it was. It actually 75 00:03:57,120 --> 00:03:59,720 Speaker 1: empowered me in a way I would never have expected 76 00:03:59,760 --> 00:04:02,600 Speaker 1: because because I did, I then faced him myself and 77 00:04:02,640 --> 00:04:05,600 Speaker 1: went in and said, hey, this and this not okay, 78 00:04:05,760 --> 00:04:07,920 Speaker 1: We're never going to do this again. And I was 79 00:04:08,320 --> 00:04:11,760 Speaker 1: I was in kind of a power position because obviously 80 00:04:12,000 --> 00:04:15,640 Speaker 1: my dad owned the company. But for women who are not, 81 00:04:15,920 --> 00:04:19,279 Speaker 1: I mean, the political scene is a totally different scene 82 00:04:19,279 --> 00:04:22,240 Speaker 1: when you have somebody because you don't have there's no 83 00:04:22,279 --> 00:04:23,560 Speaker 1: boss to go to, you know. 84 00:04:24,040 --> 00:04:26,760 Speaker 2: No, no. And I will say I'm a democrat. I 85 00:04:26,839 --> 00:04:29,760 Speaker 2: was working for probably the most powerful democrat at the time, 86 00:04:30,760 --> 00:04:32,640 Speaker 2: not just in the state of New York, but in 87 00:04:32,680 --> 00:04:35,400 Speaker 2: the country because of all these you know, Emmy awards 88 00:04:35,440 --> 00:04:39,520 Speaker 2: and the plots that he'd received, and the self promotion 89 00:04:39,680 --> 00:04:44,680 Speaker 2: he had had done during COVID And for as much 90 00:04:44,720 --> 00:04:48,719 Speaker 2: as the Democratic Party likes to say that they support women, 91 00:04:49,920 --> 00:04:52,880 Speaker 2: this was a great example to the contrary. And I 92 00:04:52,960 --> 00:04:56,520 Speaker 2: was working for this really powerful man and doing I 93 00:04:56,560 --> 00:04:59,039 Speaker 2: was not a junior person. Actually I was very senior. 94 00:04:59,320 --> 00:05:02,200 Speaker 2: And I could be asked to lead the state's recovery 95 00:05:02,200 --> 00:05:04,520 Speaker 2: work in Puerto Rico in any given moment, which is 96 00:05:04,560 --> 00:05:08,840 Speaker 2: something I did, or I could be sexually dressed, and 97 00:05:09,720 --> 00:05:13,479 Speaker 2: his entire senior staff predominantly of women, at least in 98 00:05:13,560 --> 00:05:17,800 Speaker 2: his like you know, office work, participated in that. I 99 00:05:17,960 --> 00:05:19,520 Speaker 2: like to say that I don't like to say, but 100 00:05:19,760 --> 00:05:22,120 Speaker 2: I felt like, you know, when you have a snake 101 00:05:22,160 --> 00:05:25,400 Speaker 2: and they eat mice, and you know, maybe kind of 102 00:05:25,440 --> 00:05:27,600 Speaker 2: in a vicious way, someone hits the mouse against the 103 00:05:27,640 --> 00:05:30,000 Speaker 2: tank to kind of disorient it so the snake can 104 00:05:30,040 --> 00:05:32,359 Speaker 2: eat it. That is what it felt like working for 105 00:05:32,400 --> 00:05:37,000 Speaker 2: Andrew Cuomo. And I think it's really important to say 106 00:05:37,040 --> 00:05:39,360 Speaker 2: we cannot be partisan about this issue. You know, the 107 00:05:40,040 --> 00:05:42,760 Speaker 2: bad guys in power are bad for all of us, 108 00:05:42,760 --> 00:05:45,080 Speaker 2: and it doesn't matter if they're in your party or 109 00:05:45,120 --> 00:05:48,920 Speaker 2: they're not. And I think that that is why it 110 00:05:50,320 --> 00:05:52,760 Speaker 2: ultimately resonated, was because these are all these women. And 111 00:05:52,760 --> 00:05:54,280 Speaker 2: by the way, I'm the old lady of the crew, 112 00:05:54,720 --> 00:05:56,560 Speaker 2: I also have the most privilege of a platform to 113 00:05:56,560 --> 00:05:59,280 Speaker 2: speak up. So there's lots of women much younger than 114 00:05:59,279 --> 00:06:02,840 Speaker 2: myself who he's harassed continuously, even through the court system, 115 00:06:03,160 --> 00:06:08,080 Speaker 2: requesting gynological records. Another victim of his, yes, a young victim, 116 00:06:08,160 --> 00:06:10,839 Speaker 2: younger than I think two of his three daughters. At least, 117 00:06:11,880 --> 00:06:15,200 Speaker 2: he sought dynological records from her simply because she accused 118 00:06:15,279 --> 00:06:21,200 Speaker 2: him and provided significant evidence that he harassed her. And 119 00:06:21,240 --> 00:06:24,080 Speaker 2: in another case, one of the women who came forward 120 00:06:24,120 --> 00:06:26,920 Speaker 2: was a state trooper, a woman whose job it was 121 00:06:27,040 --> 00:06:30,520 Speaker 2: to protect him with her life, and he sexually harassed her. 122 00:06:31,400 --> 00:06:33,800 Speaker 2: So much for a guy who purports to be a 123 00:06:33,880 --> 00:06:37,000 Speaker 2: law enforcement politician, especially right now he's trying to lean 124 00:06:37,040 --> 00:06:39,880 Speaker 2: into that, what kind of law enforcement politicians sexually harasses 125 00:06:40,400 --> 00:06:42,760 Speaker 2: a person whose job is protect him with her life. 126 00:06:43,680 --> 00:06:48,960 Speaker 2: And it just it's so beyond. When the physical harassment 127 00:06:49,000 --> 00:06:52,160 Speaker 2: stopped and he resigned and he for one day said 128 00:06:52,200 --> 00:06:54,360 Speaker 2: he understood to a certain extent that he was in 129 00:06:54,440 --> 00:06:57,799 Speaker 2: the wrong. He's proceeded to spend the next several years 130 00:06:58,880 --> 00:07:01,160 Speaker 2: harassing all of us. Whether or not we're resuming him. 131 00:07:01,200 --> 00:07:03,560 Speaker 2: I am not, because I don't want to have anything 132 00:07:03,560 --> 00:07:07,400 Speaker 2: to deal with this gross man. He's proceeded to attack 133 00:07:07,480 --> 00:07:09,920 Speaker 2: us all in court on the taxpayer's dime. And I 134 00:07:09,960 --> 00:07:13,560 Speaker 2: think the state controller put out a figure this week 135 00:07:13,880 --> 00:07:17,520 Speaker 2: saying between the sexual harassment cases, the faulty book deal 136 00:07:17,560 --> 00:07:21,440 Speaker 2: on COVID, he spent sixty million dollars of state money 137 00:07:21,440 --> 00:07:24,400 Speaker 2: defending himself, and none of us have that money to 138 00:07:24,440 --> 00:07:27,400 Speaker 2: defend ourselves from him and his attacks of us, even 139 00:07:27,440 --> 00:07:29,640 Speaker 2: though he's the one who abused us to begin with. 140 00:07:29,720 --> 00:07:31,800 Speaker 2: So it's just it's beyond disgusting. 141 00:07:31,840 --> 00:07:34,920 Speaker 1: And I think, see, you're exposing something that I don't 142 00:07:34,960 --> 00:07:37,880 Speaker 1: think that a lot of people understand. And this is 143 00:07:37,880 --> 00:07:40,520 Speaker 1: why you've heard rumblings and you've probably heard this too, 144 00:07:40,640 --> 00:07:44,240 Speaker 1: rumblings of this congressional slush fund that was used for 145 00:07:44,400 --> 00:07:47,640 Speaker 1: years to cover up things like this, and that is not, 146 00:07:47,760 --> 00:07:51,960 Speaker 1: I mean, and sadly, a bipartisan slush fund, because this 147 00:07:52,000 --> 00:07:54,320 Speaker 1: is not a partisan issue. This is a scumbag issue, 148 00:07:54,360 --> 00:07:56,680 Speaker 1: and it can be a scumbag in any party. And 149 00:07:57,840 --> 00:08:03,640 Speaker 1: this goes from I mean, we've heard stories anywhere from kids, 150 00:08:03,880 --> 00:08:07,239 Speaker 1: like some of the young pages that were abused by 151 00:08:07,560 --> 00:08:11,840 Speaker 1: men and women in Congress, and these are powerful people. 152 00:08:11,880 --> 00:08:15,840 Speaker 1: But again, using taxpayer money to get out of committing 153 00:08:15,840 --> 00:08:19,800 Speaker 1: a crime, which to me is shocking that this is allowed. 154 00:08:20,000 --> 00:08:21,840 Speaker 1: And then you told me something before we got on 155 00:08:21,920 --> 00:08:24,480 Speaker 1: that is even more shocking to me. He's allowed to 156 00:08:24,520 --> 00:08:26,960 Speaker 1: use he was allowed to use the taxpayer money. But 157 00:08:27,040 --> 00:08:29,600 Speaker 1: now you're having to defend yourself against him, even though 158 00:08:29,600 --> 00:08:30,880 Speaker 1: you're not even going after him. 159 00:08:30,960 --> 00:08:32,640 Speaker 2: Yeah, I'm not suing him. I don't want anything to 160 00:08:32,640 --> 00:08:35,640 Speaker 2: do with that man. I don't want to interact with 161 00:08:35,720 --> 00:08:38,840 Speaker 2: him ever. Again, I don't want anything from him, including 162 00:08:38,840 --> 00:08:41,040 Speaker 2: what people often say of women who come forward is 163 00:08:41,080 --> 00:08:43,520 Speaker 2: that we want money. Well, I've paid one point five 164 00:08:43,520 --> 00:08:46,439 Speaker 2: million dollars personally legal fees for court cases that I'm 165 00:08:46,440 --> 00:08:48,880 Speaker 2: not involved in. That I would be surprised if that 166 00:08:48,920 --> 00:08:50,559 Speaker 2: man has one hundred dollars in his bank account. I 167 00:08:50,559 --> 00:08:52,880 Speaker 2: don't want anything from him. I just want him to disappear. 168 00:08:53,000 --> 00:08:55,800 Speaker 2: And I think I just want to point that out 169 00:08:55,800 --> 00:08:59,120 Speaker 2: because so often women are smeared. Oh she wants money 170 00:08:59,559 --> 00:09:02,679 Speaker 2: is as notion, and the woman who assuing him really 171 00:09:02,720 --> 00:09:04,560 Speaker 2: just want him to be accountable and want the harm 172 00:09:04,640 --> 00:09:09,400 Speaker 2: to stop. And somehow there's this public officer's law on 173 00:09:09,440 --> 00:09:13,320 Speaker 2: the state books that enables him to continue to draw 174 00:09:14,160 --> 00:09:18,120 Speaker 2: from state coffers and New York taxpayer money for these defenses. 175 00:09:18,600 --> 00:09:22,720 Speaker 2: I think the leadership and the state senators put some 176 00:09:22,840 --> 00:09:26,199 Speaker 2: legislation forth to stop that or kind of curb that. 177 00:09:27,040 --> 00:09:29,800 Speaker 2: But as you point out with you know, even in Congress, 178 00:09:31,520 --> 00:09:35,440 Speaker 2: it's an equal opportunity self protection situation, and that's what 179 00:09:35,480 --> 00:09:37,800 Speaker 2: a lot of these pieces of legislation are to protect them. 180 00:09:37,960 --> 00:09:41,080 Speaker 2: And even though I was a high ranking official, high 181 00:09:41,160 --> 00:09:45,760 Speaker 2: enough certainly to benefit from taxpayer funded defense, because I 182 00:09:45,880 --> 00:09:48,800 Speaker 2: was the one harassed, because I was the victim here, 183 00:09:50,400 --> 00:09:52,840 Speaker 2: I can't avail myself of that. So it's just this, 184 00:09:53,559 --> 00:09:57,120 Speaker 2: it's too extreme that I think people can't even really 185 00:09:57,640 --> 00:10:01,240 Speaker 2: consciously understand, because you would never think that a man 186 00:10:01,320 --> 00:10:05,559 Speaker 2: who abused so many people, women nursing home seniors indirectly 187 00:10:05,559 --> 00:10:10,680 Speaker 2: with his policies, would be availing himself of sixty million 188 00:10:10,760 --> 00:10:13,880 Speaker 2: dollars in taxpayer money. And in fact, the lead lawyer 189 00:10:14,400 --> 00:10:18,000 Speaker 2: on this case for him, who's getting most of the money, 190 00:10:18,080 --> 00:10:24,479 Speaker 2: is co hosting a fundraiser for his mayoral canoncymen. 191 00:10:22,720 --> 00:10:23,600 Speaker 1: You cannot make it up. 192 00:10:23,960 --> 00:10:26,760 Speaker 2: You cannot make it up. And she also appeared Rita Glavin. 193 00:10:26,840 --> 00:10:30,199 Speaker 2: She appeared at his one of his announcements when he 194 00:10:30,320 --> 00:10:34,319 Speaker 2: launched his campaign, and she answered the question about the 195 00:10:34,480 --> 00:10:39,920 Speaker 2: money and the seeking gaynological records. His taxpayer funded attorney 196 00:10:40,200 --> 00:10:45,000 Speaker 2: shows up at his campaign political campaign press conference and 197 00:10:45,200 --> 00:10:48,880 Speaker 2: defends him as part of his campaign, and she goes 198 00:10:48,960 --> 00:10:53,560 Speaker 2: on to basically smear the victim again that he sought 199 00:10:53,600 --> 00:10:56,959 Speaker 2: gynological records for and listen, I would love if people 200 00:10:58,160 --> 00:11:00,880 Speaker 2: felt compelled by seeing me and saying that's not right. 201 00:11:00,920 --> 00:11:03,079 Speaker 2: It shouldn't have happened to her, and felt bad. But 202 00:11:03,360 --> 00:11:06,600 Speaker 2: think about women. Predominantly, a majority of these women are 203 00:11:06,720 --> 00:11:09,360 Speaker 2: significantly younger than I am. I'm the old lady of 204 00:11:09,400 --> 00:11:13,320 Speaker 2: the group. He was being a predator with these young women, 205 00:11:13,440 --> 00:11:16,120 Speaker 2: mostly in either one of their first jobs at a 206 00:11:16,200 --> 00:11:19,800 Speaker 2: college in an executive assistant role, and he was taking 207 00:11:19,800 --> 00:11:23,319 Speaker 2: advantage of that power structure. In my own way, it 208 00:11:23,400 --> 00:11:25,839 Speaker 2: was really humiliating because I worked my whole career to 209 00:11:25,880 --> 00:11:29,000 Speaker 2: get into these powerful rooms and to have someone treating 210 00:11:29,040 --> 00:11:32,120 Speaker 2: me poorly like this. Sometimes I didn't even want to 211 00:11:32,120 --> 00:11:35,000 Speaker 2: talk about it because it humiliated me in a way. 212 00:11:35,160 --> 00:11:37,800 Speaker 1: Like you say, you were senior staff, so you had 213 00:11:37,880 --> 00:11:40,360 Speaker 1: worked to a point. It wasn't like you I mean, 214 00:11:40,440 --> 00:11:42,480 Speaker 1: and not that it would have made any difference, but 215 00:11:42,640 --> 00:11:46,000 Speaker 1: the point is you were at a level where you 216 00:11:46,240 --> 00:11:49,599 Speaker 1: had obviously had the experience. This is your reputation on 217 00:11:49,679 --> 00:11:51,520 Speaker 1: the line if you come out against someone, and I 218 00:11:51,600 --> 00:11:54,920 Speaker 1: think that's why so often women and even other people 219 00:11:55,000 --> 00:11:58,199 Speaker 1: in the office are afraid to speak out because this 220 00:11:58,360 --> 00:12:01,080 Speaker 1: is a person who can hire you at will, They 221 00:12:01,160 --> 00:12:03,480 Speaker 1: can get rid of you, they can destroy your career, 222 00:12:03,960 --> 00:12:08,520 Speaker 1: and the career the political career is very much based 223 00:12:08,559 --> 00:12:11,839 Speaker 1: on reputation and word of mouth and what I can do. 224 00:12:12,200 --> 00:12:15,000 Speaker 2: He originally he who did he use? He reached out 225 00:12:15,000 --> 00:12:18,600 Speaker 2: to the Times of organization that was literally built out 226 00:12:18,640 --> 00:12:21,720 Speaker 2: of sexual resk and the Mantal movement, and he tried 227 00:12:21,760 --> 00:12:23,559 Speaker 2: to get them to sign He told them not to 228 00:12:23,600 --> 00:12:26,360 Speaker 2: support me publicly, which they'd been considering doing when I 229 00:12:26,440 --> 00:12:28,720 Speaker 2: came forward. And then he tried to get them, I believe, 230 00:12:28,800 --> 00:12:32,120 Speaker 2: to sign on to a letter smearing me, which they 231 00:12:32,200 --> 00:12:35,520 Speaker 2: didn't do, but ultimately their entire organization blew up because 232 00:12:35,600 --> 00:12:39,880 Speaker 2: they did indirectly support him against someone who he victimized. 233 00:12:40,000 --> 00:12:43,160 Speaker 2: And I just think it shows the hypocrisy even of 234 00:12:43,280 --> 00:12:46,280 Speaker 2: my own party, And if it takes, if it takes 235 00:12:46,760 --> 00:12:49,000 Speaker 2: highlighting the hypocrisy of my own party, I don't care. 236 00:12:49,800 --> 00:12:51,880 Speaker 2: The whole point of being in these jobs is to 237 00:12:52,120 --> 00:12:54,920 Speaker 2: help people, and instead what we have with people like 238 00:12:55,040 --> 00:12:58,240 Speaker 2: Andrew Cuomo and probably many people you've dealt with in 239 00:12:58,320 --> 00:13:01,440 Speaker 2: your career, as people who are in a self protection industry, 240 00:13:01,679 --> 00:13:03,160 Speaker 2: not a help people industry. 241 00:13:03,440 --> 00:13:06,000 Speaker 1: That's such a great way of putting your thing because 242 00:13:06,040 --> 00:13:09,280 Speaker 1: their boss is the taxpayer and they and the voter, 243 00:13:09,880 --> 00:13:13,240 Speaker 1: and the voter doesn't always hear about this and the voter, 244 00:13:13,440 --> 00:13:18,360 Speaker 1: and especially if you control the media, which, to be honest, 245 00:13:18,400 --> 00:13:20,439 Speaker 1: folks in your party have a lot more control over 246 00:13:20,520 --> 00:13:23,240 Speaker 1: the media than even on the Republican side. So if 247 00:13:23,320 --> 00:13:26,319 Speaker 1: you control the narrative, you have all the power. And 248 00:13:26,400 --> 00:13:28,520 Speaker 1: so I know, I read some of the articles where 249 00:13:28,600 --> 00:13:32,160 Speaker 1: you've said you know, I even internally I say to myself, 250 00:13:32,200 --> 00:13:34,400 Speaker 1: why did I stay as long as I did? But 251 00:13:34,559 --> 00:13:38,120 Speaker 1: I think that for folks who read this, because I'm 252 00:13:38,120 --> 00:13:40,520 Speaker 1: sure you've been asked that question, why didn't you just leave? 253 00:13:40,600 --> 00:13:43,439 Speaker 1: For folks who are reading this, this is it sounds 254 00:13:43,520 --> 00:13:46,160 Speaker 1: sounds like a big industry. It is a small industry 255 00:13:46,480 --> 00:13:49,199 Speaker 1: that is big, a big job to have in a 256 00:13:49,280 --> 00:13:53,880 Speaker 1: small industry, and for you to walk away that is 257 00:13:54,200 --> 00:13:57,040 Speaker 1: incredibly damaging to your career. And this is the position 258 00:13:57,200 --> 00:13:58,880 Speaker 1: women are put in. What do I do? 259 00:13:59,400 --> 00:14:02,040 Speaker 2: Yeah? I mean to say that, you know, if you 260 00:14:02,080 --> 00:14:04,280 Speaker 2: want to be in politics, you're a Democrat, you live 261 00:14:04,320 --> 00:14:07,000 Speaker 2: in New York. This was the Olympics. So for me 262 00:14:07,120 --> 00:14:08,839 Speaker 2: to leave that, it's like saying I don't want to 263 00:14:08,840 --> 00:14:12,239 Speaker 2: go to the Olympics, and I worked so hard. You listen, politicians, 264 00:14:12,280 --> 00:14:14,400 Speaker 2: for the most part, unless they're doing something I'm not 265 00:14:14,480 --> 00:14:16,800 Speaker 2: sure i'm a fan of, don't get paid a ton 266 00:14:16,840 --> 00:14:19,520 Speaker 2: of money for it. So they do it because hopefully 267 00:14:19,880 --> 00:14:22,800 Speaker 2: they believe in what they're doing, you know, And that 268 00:14:23,080 --> 00:14:25,280 Speaker 2: is how I felt about it. I mean, now, I'm 269 00:14:25,320 --> 00:14:28,680 Speaker 2: lucky to have a business husband who hates politics, not 270 00:14:28,800 --> 00:14:30,600 Speaker 2: lucky to hate politics, but he's not in his field, 271 00:14:30,720 --> 00:14:34,640 Speaker 2: which is good. So you know, we're okay, and I'm 272 00:14:34,680 --> 00:14:37,240 Speaker 2: able to mount defense. But I didn't join this industry 273 00:14:37,360 --> 00:14:43,680 Speaker 2: to benefit financially, I became. I spent a year years 274 00:14:43,760 --> 00:14:47,520 Speaker 2: in government and going up that ladder because I believe 275 00:14:47,560 --> 00:14:49,600 Speaker 2: in it, and I believe there is something that we 276 00:14:49,720 --> 00:14:52,080 Speaker 2: need to do to help people every day. And we 277 00:14:52,160 --> 00:14:54,040 Speaker 2: can disagree on the policy of that. But for a 278 00:14:54,120 --> 00:14:59,239 Speaker 2: guy to make all the women who work for him uncomfortable, 279 00:14:59,280 --> 00:15:02,040 Speaker 2: to create an entire toxic environment that feeds him as 280 00:15:02,080 --> 00:15:05,640 Speaker 2: the predator, to use government funds this way to smear 281 00:15:05,760 --> 00:15:07,600 Speaker 2: me when he was still the sitting governor with his 282 00:15:07,720 --> 00:15:12,160 Speaker 2: taxpayer funded attorney on his campaign conference line for his 283 00:15:12,440 --> 00:15:16,400 Speaker 2: re election for governor, to use the entire New York 284 00:15:16,400 --> 00:15:18,800 Speaker 2: press Corps, particularly Albany Press corps. And you mentioned me, 285 00:15:18,920 --> 00:15:21,680 Speaker 2: and I do think it's important. Is this whole thing 286 00:15:21,720 --> 00:15:23,600 Speaker 2: that I'm sure you've seen in your career, this access 287 00:15:23,760 --> 00:15:28,040 Speaker 2: journalism piece is really disgusting because I know if a 288 00:15:28,160 --> 00:15:30,760 Speaker 2: certain person, particularly who's been based in Albany for most 289 00:15:30,800 --> 00:15:33,240 Speaker 2: of their career in politics, is going to cover a story, 290 00:15:33,760 --> 00:15:35,840 Speaker 2: then it's going to be at the very least watered down, 291 00:15:35,960 --> 00:15:39,320 Speaker 2: and they're probably going to just cover press releases from 292 00:15:40,240 --> 00:15:43,400 Speaker 2: this candidate, not because they love him, but because they 293 00:15:43,520 --> 00:15:46,440 Speaker 2: know how the system works. And that is all part 294 00:15:46,480 --> 00:15:49,400 Speaker 2: of this corruption. And I know this is a dangerous, 295 00:15:49,400 --> 00:15:52,040 Speaker 2: difficult time for journalists, but I expect a lot better 296 00:15:52,120 --> 00:15:54,480 Speaker 2: than some of what I'm seeing. And people who have 297 00:15:54,560 --> 00:15:57,920 Speaker 2: covered this man, listen, the journalists know exactly who this man. 298 00:15:58,360 --> 00:16:03,000 Speaker 2: He was clipped on one interview saying to a female 299 00:16:03,080 --> 00:16:05,920 Speaker 2: journalist something to the effect of, do you like big 300 00:16:06,040 --> 00:16:11,120 Speaker 2: sausage sandwiches? You know, just disgusting, you know, innuendo, sexual innuit. 301 00:16:11,200 --> 00:16:14,200 Speaker 2: He's like a three year old, you know, like when 302 00:16:14,200 --> 00:16:15,840 Speaker 2: he asked me to play strip book around the plane. 303 00:16:16,640 --> 00:16:19,760 Speaker 2: But he's truly disgusting, and journalists know that. And I 304 00:16:19,840 --> 00:16:21,840 Speaker 2: think one of the things that will always stand out 305 00:16:21,880 --> 00:16:24,080 Speaker 2: in my mind that I did say in the deposition 306 00:16:25,680 --> 00:16:27,800 Speaker 2: was I'll never forget being in the vehicle with him, 307 00:16:27,840 --> 00:16:32,080 Speaker 2: and there's always like state troopers guarding him, and he's dreaming. 308 00:16:32,760 --> 00:16:37,720 Speaker 2: A very well known journalist on the phone absolutely yelling 309 00:16:37,720 --> 00:16:39,480 Speaker 2: at him, and I didn't know who it was. I'm like, gosh, 310 00:16:39,520 --> 00:16:41,440 Speaker 2: that must be one of our staffers who he's yelling at. 311 00:16:41,520 --> 00:16:44,800 Speaker 2: And it was a famous journalist. And I just said 312 00:16:44,840 --> 00:16:46,080 Speaker 2: to me, And that was when I was still working 313 00:16:46,160 --> 00:16:48,680 Speaker 2: for him. So if my colleagues aren't going to stand 314 00:16:48,760 --> 00:16:51,040 Speaker 2: up for me. The state troopers are set up to 315 00:16:51,080 --> 00:16:54,320 Speaker 2: protect him. All this system is attract and then journalists 316 00:16:54,320 --> 00:16:57,240 Speaker 2: are afraid of him. How is anyone going to get 317 00:16:57,280 --> 00:16:59,520 Speaker 2: this word out? So I didn't think there was a 318 00:16:59,520 --> 00:17:01,360 Speaker 2: lot of beunter. The only reason I ended up doing 319 00:17:01,480 --> 00:17:03,960 Speaker 2: saying something publicly was because I talked about it being 320 00:17:04,000 --> 00:17:06,800 Speaker 2: a toxic environment. And then one of the young women 321 00:17:06,920 --> 00:17:09,760 Speaker 2: much younger than myself, the one he saw chnological records for, 322 00:17:10,760 --> 00:17:13,040 Speaker 2: reached out to me and DMed me and said, I 323 00:17:13,080 --> 00:17:15,679 Speaker 2: don't know you, but thank you for saying something critical 324 00:17:15,720 --> 00:17:18,240 Speaker 2: about this man he sexually harassed me. And her story 325 00:17:19,000 --> 00:17:22,440 Speaker 2: mirrored mine. She kind of looks a little bit like me, disgustingly, 326 00:17:22,520 --> 00:17:26,680 Speaker 2: he has a type. And I believed her. And then 327 00:17:26,880 --> 00:17:28,720 Speaker 2: like the next day or so, you know, you've spent 328 00:17:28,760 --> 00:17:32,639 Speaker 2: your current politics. He was being floated for a potential 329 00:17:32,760 --> 00:17:36,119 Speaker 2: attorney general pick for you know, like a Biden administration, 330 00:17:37,320 --> 00:17:39,840 Speaker 2: and I knew what that meant. That meant they were looking, 331 00:17:39,960 --> 00:17:41,439 Speaker 2: they were putting the balloon out there to see if 332 00:17:41,440 --> 00:17:42,560 Speaker 2: anyone was going to push back. 333 00:17:42,800 --> 00:17:45,960 Speaker 1: And so between that's the top law enforcement officer in 334 00:17:46,080 --> 00:17:47,000 Speaker 1: this country. 335 00:17:47,040 --> 00:17:49,760 Speaker 2: Be the top law enforcement officer, over every woman I love, 336 00:17:50,040 --> 00:17:53,560 Speaker 2: over over my daughter, over every woman you care about, 337 00:17:53,760 --> 00:17:57,800 Speaker 2: And that just did me in. And I don't necessarily 338 00:17:58,000 --> 00:18:01,840 Speaker 2: think I didn't really think about the implications, because if 339 00:18:01,880 --> 00:18:03,760 Speaker 2: I did, maybe it Ouveren like, that's crazy, Lindsay. 340 00:18:04,119 --> 00:18:06,440 Speaker 1: We've got more coming up with Lindsay Boylan, but first, 341 00:18:06,560 --> 00:18:09,680 Speaker 1: let me tell you about my partners at IFCJ. After 342 00:18:09,760 --> 00:18:12,639 Speaker 1: more than a year of war, terror and pain in Israel, 343 00:18:12,880 --> 00:18:15,760 Speaker 1: the need for security and the support for first responders 344 00:18:15,920 --> 00:18:19,560 Speaker 1: is still critical. Even in times of ceasefire. Israel must 345 00:18:19,640 --> 00:18:22,680 Speaker 1: be prepared for the next attack, wherever it may come from. 346 00:18:22,920 --> 00:18:26,280 Speaker 1: As Israel is surrounded on all sides by enemies. The 347 00:18:26,400 --> 00:18:30,120 Speaker 1: International Fellowship of Christians and Jews has supported and will 348 00:18:30,240 --> 00:18:33,399 Speaker 1: continue to support the people of Israel with life saving 349 00:18:33,520 --> 00:18:37,080 Speaker 1: security essentials. Your gift today will help save lives by 350 00:18:37,160 --> 00:18:43,480 Speaker 1: providing bomb shelters, armored security vehicles, ambulances, firefighting equipment, flack jackets, 351 00:18:43,520 --> 00:18:47,800 Speaker 1: bulletproof vests, and so much more. Your generous donation today 352 00:18:47,880 --> 00:18:50,760 Speaker 1: will help ensure the people of Israel are safe and 353 00:18:50,880 --> 00:18:53,320 Speaker 1: secure in the days to come. Give a gift to 354 00:18:53,359 --> 00:18:57,479 Speaker 1: bless Israel and her people by visiting SUPPORTIFCJ dot org. 355 00:18:57,840 --> 00:19:01,520 Speaker 1: That's one word, it's support ifc dot org. Or you 356 00:19:01,600 --> 00:19:05,119 Speaker 1: can call it's eight eight eight four eight eight IFCJ. 357 00:19:05,560 --> 00:19:09,479 Speaker 1: That's eight eight eight four eight eight IFCJ or eight 358 00:19:09,560 --> 00:19:13,520 Speaker 1: eight eight four eight eight four three two five. Now 359 00:19:13,560 --> 00:19:19,240 Speaker 1: stick around. We've got more for you after this. If 360 00:19:19,280 --> 00:19:22,280 Speaker 1: you think about this from the I mean, everybody says 361 00:19:22,320 --> 00:19:24,560 Speaker 1: that Donald Trump is such a showman, but this is 362 00:19:24,840 --> 00:19:28,560 Speaker 1: this is a political game that people play, is how 363 00:19:28,640 --> 00:19:30,639 Speaker 1: can I make the show look good for me? And 364 00:19:31,320 --> 00:19:33,640 Speaker 1: if you think about that time period, and you can 365 00:19:33,760 --> 00:19:36,080 Speaker 1: tell me if I'm wrong, but like me, thinking back, 366 00:19:36,800 --> 00:19:39,320 Speaker 1: he is also around that time, he was also being 367 00:19:39,359 --> 00:19:42,320 Speaker 1: floated as a presidential candidate, and people were talking about 368 00:19:42,359 --> 00:19:44,359 Speaker 1: he was the sexiest man alive and there were all 369 00:19:44,400 --> 00:19:48,040 Speaker 1: these people putting these weird videos out. Yeah we're talking 370 00:19:48,200 --> 00:19:50,680 Speaker 1: and I remember being like, BARV, why do people think 371 00:19:50,760 --> 00:19:53,200 Speaker 1: this guy is so sexy? But you have to kind 372 00:19:53,240 --> 00:19:58,199 Speaker 1: of think was this something that his people were pushing 373 00:19:58,280 --> 00:20:00,320 Speaker 1: out there, because that's what they. 374 00:20:00,280 --> 00:20:03,840 Speaker 2: Do, That's what they do they for He forces is 375 00:20:03,920 --> 00:20:05,840 Speaker 2: such a great symbol of who this man is. He 376 00:20:06,119 --> 00:20:09,800 Speaker 2: forces himself on people. He forces himself on New Yorkers, 377 00:20:10,240 --> 00:20:13,639 Speaker 2: he forces himself on the media. And even in the 378 00:20:13,880 --> 00:20:18,800 Speaker 2: you know leaking that his people did about him running 379 00:20:18,840 --> 00:20:21,840 Speaker 2: for mayor, he was saying it was this kind of 380 00:20:21,960 --> 00:20:25,920 Speaker 2: community driven you know draft Andrew Cuomo, Well, Carl McCall 381 00:20:26,119 --> 00:20:30,760 Speaker 2: and and everyone printed the first story where Carl McCall, 382 00:20:30,840 --> 00:20:33,200 Speaker 2: who was the head of Sunny Polly, you know famously 383 00:20:33,320 --> 00:20:37,760 Speaker 2: they had been you know, uh competing in an early 384 00:20:37,880 --> 00:20:41,800 Speaker 2: run for governor years before that. Carl McCall drafted him. 385 00:20:42,000 --> 00:20:46,400 Speaker 2: Now that's that's total BS, it's total theatrics. Carl McCall 386 00:20:46,920 --> 00:20:49,560 Speaker 2: was appointed by Andrew Cuomo and firmly in his circle 387 00:20:49,600 --> 00:20:51,560 Speaker 2: and doing what he was told for years. And anyone 388 00:20:51,600 --> 00:20:53,119 Speaker 2: who works for and Cuomo knew that. And I just 389 00:20:53,160 --> 00:20:56,200 Speaker 2: say that one example, because everything you see that he 390 00:20:56,320 --> 00:21:01,000 Speaker 2: puts out there is entirely creation, usually a lie. I 391 00:21:01,040 --> 00:21:03,440 Speaker 2: mean one thing that is a minor story that I 392 00:21:03,640 --> 00:21:05,760 Speaker 2: like to share because it just shows what a sociopath 393 00:21:05,840 --> 00:21:08,159 Speaker 2: he is is. He was doing some I don't know 394 00:21:08,200 --> 00:21:09,600 Speaker 2: if it was an interview or a Q and A 395 00:21:09,720 --> 00:21:11,639 Speaker 2: or a gaggle with the press after an event we had, 396 00:21:11,680 --> 00:21:13,800 Speaker 2: and I was one of the staffers with him at 397 00:21:13,840 --> 00:21:15,720 Speaker 2: this event, so it must have been like an economic 398 00:21:15,800 --> 00:21:18,000 Speaker 2: development thing, which is what I oversaw for the state. 399 00:21:19,560 --> 00:21:22,760 Speaker 2: And somehow he either said or he responded to a 400 00:21:22,880 --> 00:21:25,280 Speaker 2: journalist where he said he told some story about him 401 00:21:25,320 --> 00:21:30,680 Speaker 2: and him fishing and getting a bald eagle feather, and 402 00:21:30,800 --> 00:21:34,160 Speaker 2: then he and interestingly enough rich as a party. We're 403 00:21:34,200 --> 00:21:36,879 Speaker 2: talking about this afterwards. It was a totally made up 404 00:21:36,960 --> 00:21:39,920 Speaker 2: story because it came out that you're not supposed to 405 00:21:40,040 --> 00:21:43,280 Speaker 2: keep I think a bald eagle feather. He had completely 406 00:21:43,320 --> 00:21:45,240 Speaker 2: made up the story, so it was rich as a party. 407 00:21:45,320 --> 00:21:50,080 Speaker 2: This little troll who is working for him, now his 408 00:21:50,240 --> 00:21:53,720 Speaker 2: job to try and find some way to walk back 409 00:21:54,240 --> 00:21:58,680 Speaker 2: that bullshit, excuse my line, walk back that story entirely. 410 00:21:58,800 --> 00:22:02,080 Speaker 2: And I'm just like, what kind of sociopath makes up 411 00:22:02,240 --> 00:22:05,760 Speaker 2: a minor like a like an innocuous story about a 412 00:22:05,880 --> 00:22:06,880 Speaker 2: bald eagle feather. 413 00:22:07,400 --> 00:22:09,960 Speaker 1: It was just so bizarre, and yeah, what he writes, 414 00:22:10,040 --> 00:22:13,000 Speaker 1: that's the thing. It's like, if you're willing to make 415 00:22:13,080 --> 00:22:16,240 Speaker 1: up a story about something that doesn't matter at all, 416 00:22:16,560 --> 00:22:19,080 Speaker 1: that doesn't need to be made up, then what else 417 00:22:19,160 --> 00:22:21,240 Speaker 1: are you willing to do? And I think that is 418 00:22:21,320 --> 00:22:25,480 Speaker 1: where the American people have been so blinded by what 419 00:22:25,680 --> 00:22:29,000 Speaker 1: actually happens in politics. I mean, even if you watch 420 00:22:29,119 --> 00:22:31,720 Speaker 1: some of the shows behind the scenes, you get a 421 00:22:31,800 --> 00:22:36,080 Speaker 1: glimpse into the deals and the and the obsession with power. 422 00:22:36,160 --> 00:22:39,640 Speaker 1: And I think, you know you mentioned that, you imagine 423 00:22:39,680 --> 00:22:42,760 Speaker 1: these people don't go into it for money. They go 424 00:22:42,840 --> 00:22:44,600 Speaker 1: into it for the right reasons. Because there's not a 425 00:22:44,640 --> 00:22:47,479 Speaker 1: lot of money. Why there actually is a lot of power. 426 00:22:48,480 --> 00:22:50,600 Speaker 2: I think he and people like him went into it 427 00:22:50,760 --> 00:22:53,080 Speaker 2: because they want to be the center of the universe 428 00:22:53,160 --> 00:22:56,320 Speaker 2: and they like power. Yes. To be clear, nothing that 429 00:22:56,440 --> 00:23:02,200 Speaker 2: I've ever experienced of him with him around him ever 430 00:23:02,359 --> 00:23:05,800 Speaker 2: makes me think he has any moral compass or any 431 00:23:06,040 --> 00:23:09,200 Speaker 2: actual passion to help people. I truly think he is 432 00:23:09,280 --> 00:23:12,200 Speaker 2: a sociopath. So I do think the majority of people 433 00:23:12,200 --> 00:23:13,920 Speaker 2: go in it too help. I think he went into 434 00:23:13,960 --> 00:23:16,080 Speaker 2: it because it was the family business, and it was 435 00:23:16,119 --> 00:23:18,040 Speaker 2: a way for him to continue amassing power, and he 436 00:23:18,080 --> 00:23:20,120 Speaker 2: knew how to do it by bullying people. Well. 437 00:23:20,160 --> 00:23:22,920 Speaker 1: And I know that you have bonded with Janistine over 438 00:23:23,040 --> 00:23:24,040 Speaker 1: her own situation. 439 00:23:24,680 --> 00:23:26,520 Speaker 2: She is awesome, She's amazing. 440 00:23:27,040 --> 00:23:29,840 Speaker 1: That woman is such a fighter, and I think that 441 00:23:30,000 --> 00:23:35,000 Speaker 1: people people overlook her concern because they go, oh, you 442 00:23:35,119 --> 00:23:38,160 Speaker 1: know what, COVID was a tragedy. So many people ended 443 00:23:38,240 --> 00:23:41,040 Speaker 1: up losing people. But I think we're in somewhat of 444 00:23:41,080 --> 00:23:43,600 Speaker 1: a similar situation. I was here in Michigan, you guys. 445 00:23:43,680 --> 00:23:47,000 Speaker 1: In New York, the governors both put COVID positive patients 446 00:23:47,080 --> 00:23:52,080 Speaker 1: into nursing homes. Guomo even stopped the practice before Whitmer did. 447 00:23:52,359 --> 00:23:54,199 Speaker 1: But I also lost my grandmother in. 448 00:23:54,320 --> 00:23:56,560 Speaker 2: The nursing know that. I'm sorry I didn't know that. 449 00:23:57,080 --> 00:23:59,840 Speaker 1: And I think back about it, and I think that 450 00:24:00,080 --> 00:24:02,800 Speaker 1: we were complacent at the time because we were all, 451 00:24:03,720 --> 00:24:06,560 Speaker 1: you know, panicked, and we didn't have the information. You know, 452 00:24:06,800 --> 00:24:09,080 Speaker 1: we didn't have the information that the governors had. The 453 00:24:09,160 --> 00:24:12,639 Speaker 1: other governors didn't do this, and Janesis complaint is valid 454 00:24:13,080 --> 00:24:16,200 Speaker 1: because they had information we didn't have. And I look 455 00:24:16,280 --> 00:24:18,600 Speaker 1: back at right before, when we were saying goodbye to 456 00:24:18,720 --> 00:24:21,800 Speaker 1: my grandmother standing at the window of her nursing home, 457 00:24:22,160 --> 00:24:25,479 Speaker 1: looking down the row and seeing other families standing at 458 00:24:25,480 --> 00:24:27,119 Speaker 1: the windows, and I look back on that and I 459 00:24:27,200 --> 00:24:31,399 Speaker 1: think these people had information that they And when you 460 00:24:31,520 --> 00:24:35,240 Speaker 1: say he didn't care, I mean that's how that happens, 461 00:24:35,359 --> 00:24:35,960 Speaker 1: you know, yes. 462 00:24:36,200 --> 00:24:41,440 Speaker 2: Yes, And I think now there is such a desire 463 00:24:41,800 --> 00:24:46,840 Speaker 2: to not hold people like my governor at least in 464 00:24:46,920 --> 00:24:49,359 Speaker 2: my case is the case I know very familiar with 465 00:24:50,040 --> 00:24:54,880 Speaker 2: accountable because Democratic leaders think that it'll make them look bad, 466 00:24:55,000 --> 00:25:01,440 Speaker 2: so there's so much selfishness here. I followed not just 467 00:25:01,520 --> 00:25:04,320 Speaker 2: because I loved Janison, because I care about this tremendous 468 00:25:04,400 --> 00:25:08,359 Speaker 2: wrong that happened to so many families like yours. But 469 00:25:08,640 --> 00:25:10,200 Speaker 2: I wanted to see what he was going to do 470 00:25:10,560 --> 00:25:14,119 Speaker 2: with this interview on the Select Committee on COVID, and 471 00:25:14,600 --> 00:25:18,960 Speaker 2: I was surprised that the Democrats said anything critical that 472 00:25:19,119 --> 00:25:22,840 Speaker 2: shows the extent to which he did things really wrong, 473 00:25:23,119 --> 00:25:26,119 Speaker 2: you know, forcing the nursing homes to accept these people, 474 00:25:26,440 --> 00:25:31,880 Speaker 2: lying about the numbers of debt related to nursing home, 475 00:25:32,280 --> 00:25:35,480 Speaker 2: the nursing home policy, and lying about his awareness, his 476 00:25:35,640 --> 00:25:40,359 Speaker 2: personal awareness of this policy, and lying about the extent 477 00:25:40,400 --> 00:25:42,600 Speaker 2: to which he knew the number of differentials. I mean, 478 00:25:42,960 --> 00:25:45,560 Speaker 2: as you may, you probably know, he's been referred for 479 00:25:45,760 --> 00:25:49,120 Speaker 2: criminal prosecution by the House Select Committee. And I think 480 00:25:49,160 --> 00:25:52,920 Speaker 2: it's just kind of funny because we are where we 481 00:25:52,960 --> 00:25:55,000 Speaker 2: are in New York City to some extent, because there 482 00:25:55,080 --> 00:26:00,439 Speaker 2: is a concern amongst several people that Eric Adams cannot 483 00:26:00,440 --> 00:26:03,560 Speaker 2: be an effective independent leader. What you know, policy aside 484 00:26:03,920 --> 00:26:07,359 Speaker 2: that he cannot make decisions for the city as a 485 00:26:07,400 --> 00:26:10,359 Speaker 2: whole because he's more concerned about his own personal you know, 486 00:26:10,560 --> 00:26:14,160 Speaker 2: potential issues with the you know, the Department of Justice 487 00:26:14,200 --> 00:26:14,560 Speaker 2: and the like. 488 00:26:15,040 --> 00:26:17,320 Speaker 1: So how is that different exactly? 489 00:26:17,480 --> 00:26:19,480 Speaker 2: That's where what I really want to drive One of 490 00:26:19,520 --> 00:26:21,680 Speaker 2: the things I really want to drive home is if 491 00:26:21,760 --> 00:26:25,040 Speaker 2: you think that is a problem, you know, some Turkish flights, 492 00:26:25,160 --> 00:26:28,280 Speaker 2: maybe some upgrades. I'm not demeaning these I'm not diminishing 493 00:26:28,359 --> 00:26:31,560 Speaker 2: these things. What do you think is going to happen 494 00:26:31,720 --> 00:26:34,720 Speaker 2: with a mayor of New York City who has been 495 00:26:34,840 --> 00:26:38,520 Speaker 2: found by the Biden DOJ to have harassed thirteen women 496 00:26:38,640 --> 00:26:41,520 Speaker 2: who worked for him and created a sexually toxic environment. 497 00:26:43,200 --> 00:26:45,560 Speaker 2: A mayor of New York in andercuomo if he were 498 00:26:45,640 --> 00:26:47,280 Speaker 2: to win, which I don't think he's going to because 499 00:26:47,280 --> 00:26:49,280 Speaker 2: we're going to fight against it, but who has been 500 00:26:49,359 --> 00:26:53,320 Speaker 2: referred for criminal prosecution and for lying to Congress. So 501 00:26:53,560 --> 00:26:55,159 Speaker 2: what do you think is going to happen with a 502 00:26:55,240 --> 00:26:58,800 Speaker 2: man who has all of these outstanding judicial issues at 503 00:26:58,840 --> 00:27:02,119 Speaker 2: the federal level? And what do you think is going 504 00:27:02,160 --> 00:27:04,440 Speaker 2: to happen there? You think you're going to have a 505 00:27:04,600 --> 00:27:08,200 Speaker 2: more independent leader than the guy who has some problems 506 00:27:08,280 --> 00:27:09,920 Speaker 2: with campaign finance. 507 00:27:10,119 --> 00:27:14,760 Speaker 1: Well, and these are all things that reflect on his leadership. 508 00:27:14,840 --> 00:27:17,280 Speaker 1: Like he's a known quantity. And I think that's the 509 00:27:17,359 --> 00:27:23,080 Speaker 1: thing that frustrates women. It's like when you have the receipts, 510 00:27:23,160 --> 00:27:25,359 Speaker 1: this guy is a known quantity. He did this in office, 511 00:27:25,560 --> 00:27:29,080 Speaker 1: and not only did he do things personally that were wrong, 512 00:27:29,440 --> 00:27:34,800 Speaker 1: but professionally also that we're wrong. He handled situations inappropriately 513 00:27:35,040 --> 00:27:38,840 Speaker 1: as governor. How could you possibly hand him another elected position? 514 00:27:39,200 --> 00:27:41,760 Speaker 1: But there is power in that name, and that is 515 00:27:41,840 --> 00:27:45,960 Speaker 1: the scary thing is how manipulative that can be on 516 00:27:46,080 --> 00:27:50,280 Speaker 1: both sides, how manipulative these commercials are and the attacks 517 00:27:50,320 --> 00:27:53,639 Speaker 1: on the other side. And yet the media is not 518 00:27:53,840 --> 00:27:57,080 Speaker 1: coming out like you think they would and say, dude, 519 00:27:57,200 --> 00:27:59,280 Speaker 1: come on, you've got it, You're done. 520 00:28:00,000 --> 00:28:02,720 Speaker 2: There's a little too much stenography right now. And I 521 00:28:03,760 --> 00:28:06,520 Speaker 2: one thing that you know, people ask about poles. What 522 00:28:06,560 --> 00:28:08,159 Speaker 2: do you make of the few poles that have been 523 00:28:08,200 --> 00:28:10,920 Speaker 2: put out that put him ahead? Well, the best I 524 00:28:11,040 --> 00:28:15,040 Speaker 2: can tell, aside from the recent Quinnipiac poll, they were 525 00:28:15,160 --> 00:28:18,720 Speaker 2: all polls put out either by his campaign, people related 526 00:28:18,760 --> 00:28:22,639 Speaker 2: to him, or another campaign that benefits from painting him 527 00:28:22,680 --> 00:28:26,640 Speaker 2: as the big, bad wolf. To be, so I think 528 00:28:26,720 --> 00:28:30,679 Speaker 2: that's totally irrelevant. The Quinnipiac piece. Basically, if someone has 529 00:28:30,720 --> 00:28:34,040 Speaker 2: one hundred percent name recognition and all they have on 530 00:28:34,119 --> 00:28:36,360 Speaker 2: the outset, when they're the only one of that name recognition, 531 00:28:36,520 --> 00:28:39,640 Speaker 2: they only have thirty percent support, that's not a good number. 532 00:28:40,200 --> 00:28:43,760 Speaker 2: And in a rank choice voting system, which is still 533 00:28:43,840 --> 00:28:45,360 Speaker 2: new for us in New York, we're still trying to 534 00:28:45,560 --> 00:28:49,520 Speaker 2: understand it. The objective that I have and that others 535 00:28:49,680 --> 00:28:51,760 Speaker 2: like me have is one, make sure everyone does not 536 00:28:51,880 --> 00:28:53,440 Speaker 2: rank him because he's a monster. 537 00:28:53,720 --> 00:28:55,680 Speaker 1: I was watching some of your videos and for those 538 00:28:55,720 --> 00:28:57,600 Speaker 1: of us who are not, I was like, Okay, wait, 539 00:28:57,720 --> 00:28:59,680 Speaker 1: how does this exactly work? So do you have to 540 00:29:00,160 --> 00:29:02,280 Speaker 1: do you have to rank five because it can go 541 00:29:02,360 --> 00:29:03,680 Speaker 1: to five or how does that work? 542 00:29:03,800 --> 00:29:06,800 Speaker 2: Yes? And and I try to explain it because this 543 00:29:06,840 --> 00:29:09,080 Speaker 2: is only our second mayor election we've had ranked choice voting, 544 00:29:09,120 --> 00:29:10,640 Speaker 2: and it is a little bit different. And I also 545 00:29:10,760 --> 00:29:15,440 Speaker 2: think that polling, even if it were completely independent, doesn't 546 00:29:15,920 --> 00:29:20,520 Speaker 2: factor in ranked choice voting at all. So at the 547 00:29:20,560 --> 00:29:23,080 Speaker 2: primary level, in this case, the Democratic primary, because I'm 548 00:29:23,080 --> 00:29:27,320 Speaker 2: a Democrat, we're talking man Andrew Cuomo. When people show 549 00:29:27,400 --> 00:29:29,360 Speaker 2: up on the day of to vote, or they do 550 00:29:29,480 --> 00:29:32,680 Speaker 2: early voting, they're going to be presented with five slots 551 00:29:32,760 --> 00:29:37,120 Speaker 2: to fill for the mayor's position. And you know, we're 552 00:29:37,200 --> 00:29:39,680 Speaker 2: telling everyone. I think, you know, we just had I 553 00:29:39,840 --> 00:29:41,840 Speaker 2: just saw a letter come out this morning from over 554 00:29:41,840 --> 00:29:45,160 Speaker 2: one hundred and fifty Democratic elected Leaders committee members in 555 00:29:45,240 --> 00:29:47,840 Speaker 2: the city not to rank him. So that's the first objective, 556 00:29:48,440 --> 00:29:50,880 Speaker 2: to not rank him as one of these five. But 557 00:29:51,000 --> 00:29:55,280 Speaker 2: then also, you know, and I'll explain why people need 558 00:29:55,320 --> 00:29:57,240 Speaker 2: to fill out all five of those slots in a 559 00:29:57,360 --> 00:30:00,200 Speaker 2: ranked choice voting system, particularly because there are so any 560 00:30:00,240 --> 00:30:04,080 Speaker 2: candidates and for those who are not in New York 561 00:30:04,120 --> 00:30:08,040 Speaker 2: are not familiar. Eric Adams won the current mayor and 562 00:30:08,200 --> 00:30:12,760 Speaker 2: one in the first ranked choice voting process in one 563 00:30:12,760 --> 00:30:16,800 Speaker 2: of the very late rounds, and they he only won 564 00:30:16,880 --> 00:30:18,920 Speaker 2: by a few thousands, so we almost had a different mayor. 565 00:30:19,000 --> 00:30:22,000 Speaker 2: And when I say different rounds, they what is to 566 00:30:22,200 --> 00:30:25,000 Speaker 2: simplify what happens is, let's say you put your five 567 00:30:25,240 --> 00:30:29,000 Speaker 2: candidates on there, and your first candidate that you know 568 00:30:29,160 --> 00:30:31,480 Speaker 2: is the lowest, gets the lowest votes in the first 569 00:30:31,680 --> 00:30:35,680 Speaker 2: round of ranked choice vote counting, they're out. So then 570 00:30:35,720 --> 00:30:38,440 Speaker 2: they go to all the people who put that person 571 00:30:38,480 --> 00:30:41,400 Speaker 2: who's out on first on their ballot, and they see 572 00:30:41,400 --> 00:30:43,680 Speaker 2: who their next first person is, and so all of 573 00:30:43,760 --> 00:30:48,080 Speaker 2: these things accumulate, and we need people to fill out 574 00:30:48,120 --> 00:30:51,040 Speaker 2: all five positions. So you know, some might say, lindsay 575 00:30:51,200 --> 00:30:54,440 Speaker 2: I only like Brad or I only like Zelner or 576 00:30:54,600 --> 00:30:56,680 Speaker 2: a different candidate. I'm only going to fill them out. 577 00:30:56,760 --> 00:30:59,680 Speaker 2: It's really important that people fill out all five because 578 00:31:00,000 --> 00:31:03,040 Speaker 2: if you don't, and let's say you're two candidates that 579 00:31:03,120 --> 00:31:06,840 Speaker 2: you list, they're out immediately, your vote ends up not 580 00:31:06,960 --> 00:31:09,120 Speaker 2: counting for mayor. You don't end up having to say 581 00:31:09,160 --> 00:31:11,400 Speaker 2: for mayor. So it is a complicated system. I do 582 00:31:11,520 --> 00:31:15,840 Speaker 2: also think that that is in no way reflected and 583 00:31:15,920 --> 00:31:20,680 Speaker 2: polling right now. But it's going to be interesting, really 584 00:31:20,760 --> 00:31:24,200 Speaker 2: hard to pull for. Yes, yeah, you can't. And I 585 00:31:24,280 --> 00:31:27,440 Speaker 2: will tell you this. This letter that I mentioned to 586 00:31:27,520 --> 00:31:32,360 Speaker 2: you was signed by you know, as I said, almost 587 00:31:32,400 --> 00:31:37,040 Speaker 2: two hundred individual leaders political clubs in the city. That's 588 00:31:37,080 --> 00:31:39,320 Speaker 2: a big deal to just have a letter entirely signed 589 00:31:39,360 --> 00:31:43,080 Speaker 2: about an anti Cuomo. And I would say the top 590 00:31:43,320 --> 00:31:47,520 Speaker 2: you know, the five candidates that I have thus far 591 00:31:47,640 --> 00:31:50,440 Speaker 2: given public matching funds too, because I want someone to 592 00:31:50,480 --> 00:31:52,120 Speaker 2: beat him. That I am willing to have as mayor. 593 00:31:53,000 --> 00:31:56,080 Speaker 2: All of those five appear to be willing to coordinate 594 00:31:56,160 --> 00:31:59,720 Speaker 2: with other campaigns, and they're all saying, don't rank and 595 00:32:00,040 --> 00:32:03,240 Speaker 2: Puomo to a certain extent, and they're all saying, rank 596 00:32:03,320 --> 00:32:06,320 Speaker 2: five people and put us first, and then you can 597 00:32:06,360 --> 00:32:09,640 Speaker 2: put these other people first. So I would suspect as 598 00:32:09,720 --> 00:32:11,920 Speaker 2: the primary goes on, you will not only continue to 599 00:32:11,960 --> 00:32:14,680 Speaker 2: see this Antiquomo message, but a big part of that 600 00:32:14,880 --> 00:32:17,520 Speaker 2: is going to be the candidates themselves sending anti Cuomo 601 00:32:17,680 --> 00:32:20,400 Speaker 2: and saying rink all five. And you know, maybe you 602 00:32:20,520 --> 00:32:22,880 Speaker 2: will see two candidates who are particularly aligned to do 603 00:32:22,960 --> 00:32:25,200 Speaker 2: a lot more together and the like, and that's how 604 00:32:25,280 --> 00:32:26,080 Speaker 2: he's going to be beat. 605 00:32:26,480 --> 00:32:29,080 Speaker 1: Stay tuned for more of my interview with Lindsay Boylan, 606 00:32:29,160 --> 00:32:31,040 Speaker 1: But first I want to tell you about my newest 607 00:32:31,120 --> 00:32:34,240 Speaker 1: partners at Genusel. Honestly, you guys, this is a scan 608 00:32:34,320 --> 00:32:36,840 Speaker 1: of precare product. It's awesome. I'm going to get more 609 00:32:36,920 --> 00:32:39,000 Speaker 1: into it in the coming days to tell you my 610 00:32:39,160 --> 00:32:42,000 Speaker 1: own experience, but I want to tell you the beginning story. 611 00:32:42,080 --> 00:32:45,800 Speaker 1: It's heartwarming and refreshing. 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And the 635 00:34:02,560 --> 00:34:04,440 Speaker 1: best part is if you don't feel like that's working 636 00:34:04,520 --> 00:34:06,760 Speaker 1: for you, you get your money back. So what do 637 00:34:06,800 --> 00:34:10,000 Speaker 1: you have to lose? Go to genucell dot com slash dixon. 638 00:34:10,400 --> 00:34:13,919 Speaker 1: That's G E n U c e l dot com 639 00:34:14,160 --> 00:34:18,400 Speaker 1: slash Dixon. Every order includes free shipping. Use dixon it 640 00:34:18,480 --> 00:34:21,200 Speaker 1: to check out and get that extra discount. Make sure 641 00:34:21,239 --> 00:34:24,920 Speaker 1: you go there. It's genusell dot com slash Dixon. That's 642 00:34:25,080 --> 00:34:29,240 Speaker 1: G E n U c e l dot com slash Dixon. 643 00:34:29,640 --> 00:34:34,960 Speaker 1: Now stay tuned, we'll be right back. So how many 644 00:34:35,080 --> 00:34:35,880 Speaker 1: candidates are there? 645 00:34:37,360 --> 00:34:40,160 Speaker 2: It is a lot. I don't know it, you know, 646 00:34:40,320 --> 00:34:42,719 Speaker 2: to a certain extent, unless it's a really wealthy like 647 00:34:42,800 --> 00:34:45,520 Speaker 2: Bloomberg as individual, which we don't have. In this race. 648 00:34:46,800 --> 00:34:49,760 Speaker 2: I really go by who will receive public matching funds. 649 00:34:49,840 --> 00:34:52,680 Speaker 2: It's an eight to one match and I think this 650 00:34:52,880 --> 00:34:56,239 Speaker 2: Thursday is the next filing deadline. So you know, as 651 00:34:56,280 --> 00:35:00,400 Speaker 2: I said, I've donated to five candidates I have on 652 00:35:00,560 --> 00:35:04,040 Speaker 2: my list that I think would be really would be 653 00:35:04,120 --> 00:35:07,040 Speaker 2: good mayors and are viable in terms of the potential support. 654 00:35:07,680 --> 00:35:09,640 Speaker 2: So that's what I'm focused on. But there are more 655 00:35:09,680 --> 00:35:10,959 Speaker 2: than five. Wow. 656 00:35:11,360 --> 00:35:13,960 Speaker 1: Well, we are definitely going to be watching and we'll 657 00:35:13,960 --> 00:35:17,160 Speaker 1: continue to spread the news because I obviously I want 658 00:35:17,200 --> 00:35:19,680 Speaker 1: to support women and I think you, as I said, 659 00:35:19,920 --> 00:35:22,960 Speaker 1: I've experienced this, and for those of you listening, if 660 00:35:23,000 --> 00:35:25,080 Speaker 1: you don't know what it's like to be in an 661 00:35:25,120 --> 00:35:27,520 Speaker 1: office like this, talk to women in your life. I 662 00:35:27,640 --> 00:35:30,799 Speaker 1: promise you they've experienced it, and they will if they 663 00:35:30,880 --> 00:35:34,080 Speaker 1: listen to this podcast, they'll go, yeah, that is that's 664 00:35:34,200 --> 00:35:37,840 Speaker 1: the conundrum. And also it's frustrating to me because you 665 00:35:38,000 --> 00:35:41,239 Speaker 1: know that this happens in I mean we hear about 666 00:35:41,239 --> 00:35:43,839 Speaker 1: it in DC all the time. Yes, And I would 667 00:35:43,880 --> 00:35:47,399 Speaker 1: also encourage people who are elected when they see other 668 00:35:47,520 --> 00:35:50,600 Speaker 1: elected people call it out, because you have the power. 669 00:35:50,920 --> 00:35:54,319 Speaker 1: It's different for someone outside of the staff to go, hey, 670 00:35:54,760 --> 00:35:58,120 Speaker 1: knock it off. And that's meaningful to every woman out 671 00:35:58,160 --> 00:36:00,840 Speaker 1: there that's trying to actually make some of her career. 672 00:36:00,960 --> 00:36:04,320 Speaker 1: And it's so unfair to have your life's work robbed 673 00:36:04,360 --> 00:36:07,280 Speaker 1: from you because someone in power has that ability. 674 00:36:07,680 --> 00:36:10,680 Speaker 2: And by the way, if it's a it's a notorious 675 00:36:10,680 --> 00:36:15,200 Speaker 2: predator like Andrew Cuomo, everyone around him knows it. So yeah, 676 00:36:15,280 --> 00:36:19,160 Speaker 2: everyone who was in a senior, you know, elected position 677 00:36:19,239 --> 00:36:21,919 Speaker 2: in Albany, they all knew this. I mean, unfortunately, before 678 00:36:21,960 --> 00:36:23,960 Speaker 2: I went to work for the state and the governor, 679 00:36:24,400 --> 00:36:26,239 Speaker 2: and maybe this would be the last thing I share. 680 00:36:26,280 --> 00:36:31,240 Speaker 2: It just very chilling. There's an organization called ABNEY, an 681 00:36:31,280 --> 00:36:33,680 Speaker 2: Association for Better New York, and it brings together you know, 682 00:36:34,040 --> 00:36:36,799 Speaker 2: business leaders, real estate leaders, political leaders in the city. 683 00:36:37,400 --> 00:36:38,680 Speaker 2: And the woman who was the head of it at 684 00:36:38,719 --> 00:36:40,920 Speaker 2: the time I knew and I was friendly with, and 685 00:36:41,080 --> 00:36:43,399 Speaker 2: when I got the job, working my first job working 686 00:36:43,440 --> 00:36:45,680 Speaker 2: for the state, not directly for him, she said, be careful, 687 00:36:46,800 --> 00:36:49,280 Speaker 2: stay away from the governor. He has a women problem. 688 00:36:49,320 --> 00:36:50,759 Speaker 2: And I just had to kill a story in the 689 00:36:50,760 --> 00:36:53,920 Speaker 2: New York Times with him about him and women. And 690 00:36:54,480 --> 00:36:57,440 Speaker 2: I didn't at the time focus on it because I 691 00:36:57,480 --> 00:36:59,600 Speaker 2: wasn't going to go work for him directly. It ended 692 00:36:59,680 --> 00:37:04,080 Speaker 2: up I was slowly broad into his you know, fish tank, 693 00:37:06,160 --> 00:37:08,880 Speaker 2: and unfortunately all the bad things happen to me. But 694 00:37:09,000 --> 00:37:12,719 Speaker 2: this is this man's abuse of women in particular, and 695 00:37:12,840 --> 00:37:17,360 Speaker 2: his abuse in general is an open story in any 696 00:37:17,560 --> 00:37:20,640 Speaker 2: powerful New York circle that you know, and that is 697 00:37:20,719 --> 00:37:23,120 Speaker 2: what truly discussed me too. Well. 698 00:37:23,200 --> 00:37:25,239 Speaker 1: Thank you so much for coming out and sharing. I 699 00:37:25,360 --> 00:37:28,600 Speaker 1: know this is hard and I appreciate it. Lindsay Boylan, 700 00:37:28,640 --> 00:37:29,760 Speaker 1: thank you for coming on today. 701 00:37:30,040 --> 00:37:31,680 Speaker 2: Thank you, and I appreciate your time. We need to 702 00:37:31,719 --> 00:37:33,200 Speaker 2: get the word out and I appreciate it. 703 00:37:33,600 --> 00:37:35,640 Speaker 1: I agree, I agree, and thank you all for joining 704 00:37:35,719 --> 00:37:38,320 Speaker 1: us on the Tutor Dixon Podcast. As always, for this 705 00:37:38,440 --> 00:37:41,000 Speaker 1: episode and others, go to Tutor disonpodcast dot com, the 706 00:37:41,040 --> 00:37:44,400 Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you get your podcasts 707 00:37:44,680 --> 00:37:46,960 Speaker 1: and join us next time on the Tutor Dixon Podcast. 708 00:37:47,120 --> 00:37:47,800 Speaker 1: Type of blessing