1 00:00:04,000 --> 00:00:06,960 Speaker 1: On this episode of Newtsworld, I'm especially happy to have 2 00:00:07,080 --> 00:00:10,240 Speaker 1: Lisa Booth with us talking about her new podcast, The 3 00:00:10,360 --> 00:00:12,880 Speaker 1: Truth with Lisa Booth. She is part of the Game 4 00:00:12,880 --> 00:00:17,080 Speaker 1: Which three sixty network of really innovative, bright podcast hosts 5 00:00:17,320 --> 00:00:20,279 Speaker 1: who were exploring a variety of different topics, and in 6 00:00:20,360 --> 00:00:23,520 Speaker 1: Lisa's case, she's made a big splash into the podcast 7 00:00:23,600 --> 00:00:27,000 Speaker 1: landscape when she released her very first episode of The 8 00:00:27,080 --> 00:00:30,720 Speaker 1: Truth with Lisa Booth by landing an interview with President 9 00:00:30,760 --> 00:00:33,640 Speaker 1: Donald J. Trump. She began her career as a staffer 10 00:00:33,680 --> 00:00:36,600 Speaker 1: on Capitol Hill and is now a Fox News contributor. 11 00:00:36,960 --> 00:00:48,640 Speaker 1: I'm really pleased to welcome my guest, Lisa Booth. Lisa, 12 00:00:48,720 --> 00:00:51,560 Speaker 1: thank you for taking the time to join me. Well, 13 00:00:51,560 --> 00:00:53,800 Speaker 1: thank you, sir, And you brought me onto the team, 14 00:00:53,880 --> 00:00:57,040 Speaker 1: So I just want to thank you for investing in me. 15 00:00:57,440 --> 00:01:01,120 Speaker 1: I really appreciate you bringing me on board. I'm curious, 16 00:01:01,560 --> 00:01:05,000 Speaker 1: how did you get this scoop for your very first interview. Well, 17 00:01:05,000 --> 00:01:08,200 Speaker 1: you know, I've always been a fan of President Trump's 18 00:01:08,200 --> 00:01:10,960 Speaker 1: and I always felt like he was so misunderstood by 19 00:01:11,040 --> 00:01:14,520 Speaker 1: so many people in the media. And I mean, perfect example, 20 00:01:14,760 --> 00:01:18,039 Speaker 1: you have a president who gets over half of our 21 00:01:18,240 --> 00:01:22,040 Speaker 1: Middle East peace deals in one term barely gets any attention, 22 00:01:22,160 --> 00:01:24,880 Speaker 1: and then with Joe Biden, he adopts dogs and it's 23 00:01:24,880 --> 00:01:28,880 Speaker 1: like international, So it just sort of, you know, demonstrates 24 00:01:28,880 --> 00:01:32,160 Speaker 1: and underscores how messed up everything is. So I've always 25 00:01:32,160 --> 00:01:33,760 Speaker 1: been a big fan of his and so it was 26 00:01:33,800 --> 00:01:37,000 Speaker 1: just very very honored that he sat down with me 27 00:01:37,040 --> 00:01:39,080 Speaker 1: for you know, almost an hour and I think was 28 00:01:39,120 --> 00:01:41,679 Speaker 1: the most in depth interview he's given since leaving office. 29 00:01:41,720 --> 00:01:45,520 Speaker 1: So super blessed and it was really cool, especially as 30 00:01:45,520 --> 00:01:47,480 Speaker 1: someone who's a fan of his, to be able to 31 00:01:47,520 --> 00:01:50,720 Speaker 1: spend that much time talking to him, Well, you really 32 00:01:50,720 --> 00:01:52,640 Speaker 1: got him to talk and open up, and I thought 33 00:01:52,680 --> 00:01:55,520 Speaker 1: it was remarkable as an interview. And if people want 34 00:01:55,520 --> 00:01:58,400 Speaker 1: to hear that interview, where should they go? They can 35 00:01:58,440 --> 00:02:01,840 Speaker 1: listen to the Truth with Lisa Booth on their podcast 36 00:02:01,920 --> 00:02:04,080 Speaker 1: apps on their phone. They can go to the iHeart 37 00:02:04,120 --> 00:02:07,960 Speaker 1: Media app, Apple podcast, or also the best way to 38 00:02:08,000 --> 00:02:11,400 Speaker 1: do is going directly to the Gingridge three sixty dot 39 00:02:11,400 --> 00:02:13,920 Speaker 1: com slash lesa booth and then they can go there 40 00:02:14,280 --> 00:02:16,800 Speaker 1: and find all the places it's accessible, and also they 41 00:02:16,800 --> 00:02:19,520 Speaker 1: can listen to all the well only one episode so far, 42 00:02:19,800 --> 00:02:22,359 Speaker 1: Like yeah, they can listen to the episodes that one, 43 00:02:22,440 --> 00:02:25,440 Speaker 1: which is you know, amazing with President Trump, and then 44 00:02:25,480 --> 00:02:27,519 Speaker 1: also moving forward as well, and they're all gonna be 45 00:02:27,560 --> 00:02:29,800 Speaker 1: amazing because they're all going to be with you. Thank you. 46 00:02:29,960 --> 00:02:34,520 Speaker 1: I appreciate that fingers crossed. That's great, and you know, 47 00:02:34,639 --> 00:02:37,679 Speaker 1: it's a very interesting process, and I think you're gonna 48 00:02:37,680 --> 00:02:40,120 Speaker 1: have a lot of people who stick with you because 49 00:02:40,160 --> 00:02:43,840 Speaker 1: of the quality of your conversation with President Trump. And 50 00:02:43,919 --> 00:02:46,560 Speaker 1: I can tell you my wife, Calissa, really likes you 51 00:02:46,639 --> 00:02:49,640 Speaker 1: and really admires you, and she was thrilled when you 52 00:02:49,760 --> 00:02:53,320 Speaker 1: decided to join the English three sixty network, and I 53 00:02:53,360 --> 00:02:57,239 Speaker 1: think this first interview certainly justified all of her excitement. 54 00:02:57,680 --> 00:03:02,320 Speaker 1: But let's go back earlier. You got your start as 55 00:03:02,320 --> 00:03:04,839 Speaker 1: a staffer on the Hill, but even before that, where 56 00:03:04,840 --> 00:03:06,920 Speaker 1: did you grow up? And I'm a fan of your 57 00:03:06,919 --> 00:03:09,840 Speaker 1: wife's as well, and you're so that's a high compliment. 58 00:03:09,840 --> 00:03:12,760 Speaker 1: So I really appreciate that. I grew up in Fairfax County, 59 00:03:13,240 --> 00:03:16,320 Speaker 1: Northern Virginia area. I grew up outside of Washington, DC. 60 00:03:16,720 --> 00:03:19,720 Speaker 1: You know, my dad had worked on Capitol Hill for 61 00:03:19,760 --> 00:03:22,079 Speaker 1: a number of years. I was just always really curious 62 00:03:22,080 --> 00:03:24,920 Speaker 1: and really interested in politics. And you know, I think, 63 00:03:25,040 --> 00:03:27,600 Speaker 1: especially as a young girl, there's just such a special 64 00:03:27,639 --> 00:03:30,640 Speaker 1: relationship with that father daughter relationship. I'm very close to 65 00:03:30,680 --> 00:03:33,640 Speaker 1: my parents. I'm really blessed just to have a really 66 00:03:33,680 --> 00:03:36,800 Speaker 1: close knit family, just have really supportive parents. But I 67 00:03:36,840 --> 00:03:38,880 Speaker 1: was just always really curious in politics. So I just 68 00:03:38,920 --> 00:03:42,160 Speaker 1: grew up asking my dad a billion questions and you know, 69 00:03:42,240 --> 00:03:45,360 Speaker 1: talking to him about politics and just really curious about 70 00:03:45,400 --> 00:03:47,960 Speaker 1: how the whole process works. So that really kind of 71 00:03:48,000 --> 00:03:50,400 Speaker 1: piqued my interests. And that's really what led me into 72 00:03:50,480 --> 00:03:53,080 Speaker 1: the political world and the political realm was my dad 73 00:03:53,160 --> 00:03:55,720 Speaker 1: and just sort of seeing him as this hero and 74 00:03:55,800 --> 00:03:59,520 Speaker 1: my mentor, and just being really curious and interested in politics. 75 00:04:00,200 --> 00:04:04,080 Speaker 1: As I remember, your dad, Jeffrey was actually right in 76 00:04:04,080 --> 00:04:07,320 Speaker 1: the thick of things as an legislative assistant for Senator 77 00:04:07,400 --> 00:04:10,720 Speaker 1: Mark Hatfield from Oregon. He was, yeah, and he's always 78 00:04:10,760 --> 00:04:13,920 Speaker 1: been very interested in the policy side of things. And 79 00:04:14,040 --> 00:04:16,040 Speaker 1: I've always been interested in, you know, kind of the 80 00:04:16,080 --> 00:04:19,600 Speaker 1: horse race. I love the issues as well, but I 81 00:04:19,680 --> 00:04:23,080 Speaker 1: was always really interested in the politics because I liked 82 00:04:23,080 --> 00:04:25,400 Speaker 1: the objective of you know, you work on a campaign, 83 00:04:25,880 --> 00:04:27,800 Speaker 1: there's sort of a natural end in sight, and the 84 00:04:27,800 --> 00:04:30,960 Speaker 1: objective is to win and I liked that. And then too, 85 00:04:31,000 --> 00:04:33,440 Speaker 1: you know, you're working on a campaign, it's so fast paced, 86 00:04:33,480 --> 00:04:36,880 Speaker 1: it's so intense. I really enjoyed the intensity of it. 87 00:04:36,960 --> 00:04:39,120 Speaker 1: And you know, and I think on Capitol Hill it's 88 00:04:39,160 --> 00:04:42,720 Speaker 1: such a slow moving process. And for whatever reason, when 89 00:04:42,760 --> 00:04:45,320 Speaker 1: you work on a campaign and you obviously know the speaker, 90 00:04:45,360 --> 00:04:48,120 Speaker 1: but you know, when you're working on a campaign, there's 91 00:04:48,160 --> 00:04:50,400 Speaker 1: not a lot of time to pontificate on things. It 92 00:04:50,400 --> 00:04:52,719 Speaker 1: almost sort of like sharpens your senses. You've got to 93 00:04:52,760 --> 00:04:56,320 Speaker 1: just make decisions and roll with it. And I always 94 00:04:56,400 --> 00:04:59,560 Speaker 1: kind of liked that environment. After a couple of years 95 00:04:59,600 --> 00:05:03,000 Speaker 1: on the Hill, you dove right into that environment into 96 00:05:03,080 --> 00:05:06,720 Speaker 1: two twelve cycle. You were a spokeswoman both for the 97 00:05:06,760 --> 00:05:10,120 Speaker 1: Sandy Adams for Congress and for Tommy Thompson for the 98 00:05:10,160 --> 00:05:14,560 Speaker 1: Senate campaign. How did you end up with those jobs? Politics, 99 00:05:14,560 --> 00:05:17,240 Speaker 1: as you know, it's a lot about relationships. It's just 100 00:05:17,279 --> 00:05:19,720 Speaker 1: getting to know people, trying to get your name out there, 101 00:05:20,360 --> 00:05:23,000 Speaker 1: talking to people, trying to get jobs. You know, I 102 00:05:23,040 --> 00:05:25,840 Speaker 1: was always blessed to keep finding jobs even if you 103 00:05:25,880 --> 00:05:28,680 Speaker 1: know your candidates lose, which is another thing I think 104 00:05:28,680 --> 00:05:31,279 Speaker 1: politics teaches you, is it really teaches you, which I 105 00:05:31,320 --> 00:05:33,159 Speaker 1: feel like has really paved the way and helped me 106 00:05:33,160 --> 00:05:35,760 Speaker 1: in the media world. You know, both are tough industries 107 00:05:35,800 --> 00:05:37,520 Speaker 1: and you get knocked down a lot and you kind 108 00:05:37,520 --> 00:05:41,560 Speaker 1: of have to reconfigure and find another job and you know, 109 00:05:41,680 --> 00:05:44,040 Speaker 1: try to have a livelihood and be able to keep 110 00:05:44,080 --> 00:05:46,000 Speaker 1: paying the bills and put a roof over your head, 111 00:05:46,000 --> 00:05:47,599 Speaker 1: and so it really teaches you to kind of be 112 00:05:47,640 --> 00:05:49,960 Speaker 1: tough and to you know, suck it up and get 113 00:05:49,960 --> 00:05:52,040 Speaker 1: back out there. And I played sports growing up, so 114 00:05:52,080 --> 00:05:54,520 Speaker 1: that kind of teaches you that as well. But I 115 00:05:54,839 --> 00:05:57,359 Speaker 1: really loved those jobs too. City Adams was awesome. She 116 00:05:57,480 --> 00:06:01,240 Speaker 1: was a former deputy share from Florida. Just no nonsense, 117 00:06:01,360 --> 00:06:03,599 Speaker 1: really cool, so much fun to work for. I really 118 00:06:03,600 --> 00:06:05,760 Speaker 1: cared about her. When she lost it, I cried that night. 119 00:06:05,800 --> 00:06:08,520 Speaker 1: Admittedly I was so depressed because I really thought she 120 00:06:08,600 --> 00:06:10,640 Speaker 1: was there for the right reasons and it was really sad. 121 00:06:10,680 --> 00:06:13,360 Speaker 1: And Tommy I loved working for him. He's just such 122 00:06:13,400 --> 00:06:16,159 Speaker 1: an interesting guy and his family really took care of 123 00:06:16,240 --> 00:06:18,719 Speaker 1: us after even though he lost as well, which again, 124 00:06:18,839 --> 00:06:20,760 Speaker 1: you know, tough losses sometimes, and when you really care 125 00:06:20,800 --> 00:06:23,520 Speaker 1: about the people you're working for, it's hard to lose. 126 00:06:24,080 --> 00:06:25,840 Speaker 1: And his family was so good. You know, they really 127 00:06:25,880 --> 00:06:28,160 Speaker 1: helped try to find jobs for everyone, take care of us, 128 00:06:28,160 --> 00:06:30,760 Speaker 1: and that's something that really doesn't sometimes that loyalty doesn't. 129 00:06:31,120 --> 00:06:33,719 Speaker 1: You know. It's like there's always this demand for loyalty 130 00:06:33,760 --> 00:06:35,960 Speaker 1: from the staffer, but you know, sometimes you don't get 131 00:06:36,000 --> 00:06:37,680 Speaker 1: that from the person you're working for. And I can 132 00:06:37,720 --> 00:06:40,240 Speaker 1: say for both of those people, with Sandy Adams and 133 00:06:40,440 --> 00:06:43,240 Speaker 1: Tommy Thompson, there is that loyalty back and trying to 134 00:06:43,279 --> 00:06:45,039 Speaker 1: take care of their staff and really make sure that 135 00:06:45,080 --> 00:06:47,440 Speaker 1: they land and you know that they're doing okay, And 136 00:06:47,680 --> 00:06:50,119 Speaker 1: I think that speaks immensely about the kind of people 137 00:06:50,200 --> 00:06:52,880 Speaker 1: they are. Yeah. I think it's interesting that one of 138 00:06:52,920 --> 00:06:57,280 Speaker 1: my themes is cheerful persistence. You've lost twice, but a 139 00:06:57,400 --> 00:07:01,280 Speaker 1: spirit of that I really admire. Cheerful assistance who bounce back. 140 00:07:01,760 --> 00:07:04,760 Speaker 1: You've had a race in Florida, race in Wisconsin. Now 141 00:07:04,839 --> 00:07:10,920 Speaker 1: you find yourself supporting the challenger in Alaska. So one, 142 00:07:11,000 --> 00:07:14,960 Speaker 1: you clearly have a across continent reach. But I'm curious 143 00:07:15,040 --> 00:07:18,360 Speaker 1: on something. Alaska is a very different state. How do you, 144 00:07:18,840 --> 00:07:21,760 Speaker 1: in your own mind when you walk in the door, 145 00:07:22,680 --> 00:07:24,640 Speaker 1: how do you learn about a state that is that 146 00:07:24,800 --> 00:07:28,320 Speaker 1: different from Wisconsin? And Florida. I got set up a 147 00:07:28,320 --> 00:07:30,440 Speaker 1: little bit in the sense of I worked on the 148 00:07:30,680 --> 00:07:34,120 Speaker 1: twenty ten for the NRCC. So that was a historic 149 00:07:34,200 --> 00:07:36,440 Speaker 1: election for Republicans. I mean we picked up I think 150 00:07:36,440 --> 00:07:38,560 Speaker 1: it was sixty three seats in the House. So you 151 00:07:38,640 --> 00:07:41,720 Speaker 1: go from that where you're just feeling high, You've then 152 00:07:42,320 --> 00:07:45,240 Speaker 1: just a monster election cycle. And obviously, you know, I 153 00:07:45,280 --> 00:07:47,120 Speaker 1: was an assistant pre sectory so part of it a 154 00:07:47,120 --> 00:07:49,440 Speaker 1: really large team, and you know, sort of you're working 155 00:07:49,480 --> 00:07:51,800 Speaker 1: your way up, right, So you go from that and 156 00:07:51,840 --> 00:07:54,160 Speaker 1: then to lose elections is really tough. But yeah, it 157 00:07:54,200 --> 00:07:56,240 Speaker 1: was awesome to work on this campaign and to have 158 00:07:56,320 --> 00:07:59,520 Speaker 1: success there. And I was part of the general consulting team. 159 00:07:59,600 --> 00:08:02,320 Speaker 1: He had a team on the ground in Alaska, and 160 00:08:02,360 --> 00:08:04,280 Speaker 1: then you know, we were part of sort of the 161 00:08:04,760 --> 00:08:08,800 Speaker 1: periphery support, helping to be part of that team in 162 00:08:08,800 --> 00:08:11,960 Speaker 1: a support system and to try to drive the momentum 163 00:08:12,600 --> 00:08:14,640 Speaker 1: and the narrative forward. And he had a great team 164 00:08:14,680 --> 00:08:17,560 Speaker 1: in Alaska, and he's such a great guy. So that 165 00:08:17,640 --> 00:08:20,080 Speaker 1: was really special to win that one. But it was 166 00:08:20,120 --> 00:08:22,320 Speaker 1: challenging because I remember the night that he had won, 167 00:08:22,440 --> 00:08:25,040 Speaker 1: like we all knew that he had won, but it 168 00:08:25,080 --> 00:08:28,440 Speaker 1: took forever to call that race. I'm sure you can 169 00:08:28,520 --> 00:08:31,840 Speaker 1: sympathize with that speaker, Gingrich because obviously, on election night 170 00:08:31,840 --> 00:08:33,680 Speaker 1: you want the race called. You want to be able 171 00:08:33,720 --> 00:08:37,400 Speaker 1: to celebrate that victory. And it took us a while 172 00:08:37,480 --> 00:08:39,600 Speaker 1: to have the race called. But very cool to see 173 00:08:39,679 --> 00:08:42,120 Speaker 1: him win. Couldn't happen to a nicer guy. He really 174 00:08:42,200 --> 00:08:44,319 Speaker 1: works hard, he knows the issues. I mean, the man 175 00:08:44,440 --> 00:08:47,720 Speaker 1: is brilliant. How long did it take to call Sullivan 176 00:08:47,880 --> 00:08:50,040 Speaker 1: is the winner? I think it was like a week. 177 00:08:50,120 --> 00:08:54,120 Speaker 1: I was twenty fourteen, so obviously a lot's happened since then, 178 00:08:54,240 --> 00:08:56,600 Speaker 1: but I think it was like a week. So were 179 00:08:56,600 --> 00:08:59,679 Speaker 1: you in Alaska in October and November, so I'm back 180 00:08:59,720 --> 00:09:02,160 Speaker 1: in a couple of times. But I was their election 181 00:09:02,320 --> 00:09:05,480 Speaker 1: night and it hadn't been called even when we had 182 00:09:05,480 --> 00:09:09,400 Speaker 1: gotten back to DC, but we knew that we had won. 183 00:09:10,280 --> 00:09:13,400 Speaker 1: Lisa After said that in terms of versatility, if you 184 00:09:13,400 --> 00:09:17,920 Speaker 1: can go from a T shirt in Florida to Eskimo 185 00:09:18,000 --> 00:09:22,760 Speaker 1: clothing in Alaska, you clearly are a person of great versatility. 186 00:09:23,440 --> 00:09:26,120 Speaker 1: You learn something from every experience in life, and you 187 00:09:26,240 --> 00:09:29,680 Speaker 1: learn something from every job in life. And it's really 188 00:09:29,679 --> 00:09:32,440 Speaker 1: cool to see different parts of the country and interact 189 00:09:32,440 --> 00:09:36,400 Speaker 1: with different voters and to learn, you know, different lifestyles, 190 00:09:36,440 --> 00:09:38,959 Speaker 1: and I think you learn and gain so much from that. 191 00:09:39,360 --> 00:09:42,680 Speaker 1: And ironically, I'm a Floridian now myself. Even when you 192 00:09:42,720 --> 00:09:45,440 Speaker 1: go and volunteer on campaigns and just going around talking 193 00:09:45,440 --> 00:09:47,400 Speaker 1: of voters and being on the ground, and you know, 194 00:09:47,440 --> 00:09:49,960 Speaker 1: I learned so much being in Wisconsin for Tommy Thompson, 195 00:09:50,000 --> 00:09:53,200 Speaker 1: I learned so much being in Florida and then also 196 00:09:53,240 --> 00:09:56,040 Speaker 1: spending a little bit of time in Alaska as well. 197 00:09:56,280 --> 00:09:57,920 Speaker 1: I think that's something to keep in mind too for 198 00:09:58,040 --> 00:10:00,160 Speaker 1: you know, younger people, is that every job as a 199 00:10:00,240 --> 00:10:02,720 Speaker 1: learning opportunity, and there's so much to be gained from 200 00:10:03,200 --> 00:10:06,000 Speaker 1: every opportunity you have in life. There's there's always a 201 00:10:06,040 --> 00:10:08,760 Speaker 1: lesson or multiple lessons. Well, you mentioned being in Florida. 202 00:10:08,920 --> 00:10:12,920 Speaker 1: You actually were on the ground and South Beach yesterday. 203 00:10:12,960 --> 00:10:15,360 Speaker 1: I mean, I'm curious, what's your sense of what's happening there. 204 00:10:16,679 --> 00:10:19,480 Speaker 1: It's pretty crazy. And you know, that was so nice 205 00:10:19,480 --> 00:10:21,360 Speaker 1: of Sean Hannity and his team to you know, give 206 00:10:21,360 --> 00:10:23,360 Speaker 1: me that opportunity as well, to you know, be able 207 00:10:23,400 --> 00:10:25,520 Speaker 1: to get out there and do some reporting. So that 208 00:10:25,559 --> 00:10:28,400 Speaker 1: was really neat and appreciative of that. But it was 209 00:10:28,480 --> 00:10:33,040 Speaker 1: interesting because the conversations I had with folks, it is dangerous. 210 00:10:33,040 --> 00:10:35,280 Speaker 1: I mean, I had spoken to a couple of girls 211 00:10:35,360 --> 00:10:37,800 Speaker 1: from Detroit, Michigan, and they were telling me that they 212 00:10:37,800 --> 00:10:40,640 Speaker 1: were dining and all of a sudden, they had bullets. 213 00:10:40,640 --> 00:10:41,920 Speaker 1: And I was like, well, you know, how do you 214 00:10:42,000 --> 00:10:45,240 Speaker 1: differentiate between rubber bullets or real bullets? Because I had 215 00:10:45,280 --> 00:10:47,520 Speaker 1: heard that they were sort of dispensing various things to 216 00:10:47,559 --> 00:10:50,360 Speaker 1: break up crowds, and they had told me in Detroit, unfortunately, 217 00:10:50,360 --> 00:10:52,640 Speaker 1: they had heard real gunfire before and that was something 218 00:10:52,679 --> 00:10:55,439 Speaker 1: that they had become aware of in their life, and 219 00:10:55,520 --> 00:10:57,400 Speaker 1: so they were telling me the story about how they 220 00:10:57,480 --> 00:10:59,600 Speaker 1: heard bullets and they had to hide underneath the table 221 00:11:00,280 --> 00:11:02,959 Speaker 1: just to try to be safe, and so that was crazy. 222 00:11:02,960 --> 00:11:04,880 Speaker 1: And then I was talking to a guy and a 223 00:11:04,920 --> 00:11:06,680 Speaker 1: group with his friends, and he told me he saw 224 00:11:06,720 --> 00:11:09,360 Speaker 1: someone get shot and he actually wasn't sure if that 225 00:11:09,440 --> 00:11:12,320 Speaker 1: individual lived or not. Then another person told me that 226 00:11:12,360 --> 00:11:14,800 Speaker 1: he saw a woman knock a police officer out cold, 227 00:11:14,840 --> 00:11:16,720 Speaker 1: and then I got the other side of the story too, 228 00:11:16,800 --> 00:11:20,600 Speaker 1: talking to the police officer and to the assistant police 229 00:11:20,640 --> 00:11:22,439 Speaker 1: chief who was so kind to give us time and 230 00:11:22,480 --> 00:11:25,439 Speaker 1: just the challenges that they faced and trying to mitigate 231 00:11:25,559 --> 00:11:28,679 Speaker 1: these unruly crowds. So it was really interesting to get 232 00:11:28,679 --> 00:11:30,840 Speaker 1: out there. You know, I'd love talking to people, and 233 00:11:30,880 --> 00:11:33,320 Speaker 1: so it's just always interesting to hear different perspectives. You 234 00:11:33,360 --> 00:11:36,280 Speaker 1: get the police side of the equation, and they've had 235 00:11:36,320 --> 00:11:39,360 Speaker 1: officers injured as a result of these crowds and just 236 00:11:39,400 --> 00:11:42,560 Speaker 1: sort of the raucous environment. And one restaurant had actually 237 00:11:42,559 --> 00:11:45,840 Speaker 1: shut down they're dining and beverage operations because the restaurant 238 00:11:45,920 --> 00:11:49,680 Speaker 1: next stor got completely trashed by fights and just chaos. 239 00:11:50,280 --> 00:11:53,240 Speaker 1: And the hotel that Cleveland or South Beach is apparently 240 00:11:53,240 --> 00:11:55,760 Speaker 1: a staple, like that's a big party place, and so 241 00:11:55,800 --> 00:11:57,800 Speaker 1: the fact that they're shutdown, I was told, is really 242 00:11:57,800 --> 00:12:00,320 Speaker 1: telling the police, you know, they're just doing the best 243 00:12:00,320 --> 00:12:03,079 Speaker 1: they can and trying to keep people safe. And then 244 00:12:03,120 --> 00:12:04,640 Speaker 1: you got the other side of it, like one guy 245 00:12:04,679 --> 00:12:06,880 Speaker 1: was telling me he got arrested. I think they had 246 00:12:06,920 --> 00:12:09,760 Speaker 1: been out and about that day, maybe drinking a little 247 00:12:09,800 --> 00:12:12,280 Speaker 1: too much, and so you kind of got the sense of, all, right, well, 248 00:12:12,320 --> 00:12:14,320 Speaker 1: you know, maybe you were kind of provoking things. But 249 00:12:14,360 --> 00:12:16,920 Speaker 1: then I talked to some you other folks, like the 250 00:12:17,000 --> 00:12:18,760 Speaker 1: girls I talked to from Detroit. They were just trying 251 00:12:18,760 --> 00:12:20,880 Speaker 1: to have a nice dinner and then there's gunfire. Or 252 00:12:20,880 --> 00:12:23,719 Speaker 1: I talked to other people who felt like maybe they 253 00:12:23,720 --> 00:12:26,960 Speaker 1: were being treated similarly to the people who were causing trouble, 254 00:12:26,960 --> 00:12:28,480 Speaker 1: and they were just down their own vacations. You know, 255 00:12:28,480 --> 00:12:32,280 Speaker 1: It's always just interesting to get different perspectives and to 256 00:12:32,320 --> 00:12:35,040 Speaker 1: talk to people, and so it was actually a really 257 00:12:35,040 --> 00:12:37,480 Speaker 1: cool assignment. I very much enjoyed it. You know, spring 258 00:12:37,480 --> 00:12:41,320 Speaker 1: break has been a long story, gosh, at least I 259 00:12:41,360 --> 00:12:44,000 Speaker 1: guess forty years, but this one seems to be a 260 00:12:44,000 --> 00:12:47,120 Speaker 1: little more intense and a little more violent. Did you 261 00:12:47,160 --> 00:12:49,120 Speaker 1: get a sense talking to people that they thought this 262 00:12:49,240 --> 00:12:52,719 Speaker 1: was a more out of control than usual. Yes, and 263 00:12:53,000 --> 00:12:56,559 Speaker 1: that was the universal consensus. South Beach is a party spot, right, 264 00:12:56,600 --> 00:12:59,880 Speaker 1: So there's always spring breaks, there's always Memorial Day weekend 265 00:13:00,000 --> 00:13:02,880 Speaker 1: and you know, Fourth of July, all these holidays, these 266 00:13:02,920 --> 00:13:05,160 Speaker 1: you know, sort of staples of people going to party, 267 00:13:05,160 --> 00:13:06,839 Speaker 1: and so they're used to it. I mean they're used 268 00:13:06,880 --> 00:13:10,000 Speaker 1: to an influx of people coming into town. The Miami 269 00:13:10,040 --> 00:13:12,720 Speaker 1: tourism spent I think something like five million dollars and 270 00:13:13,040 --> 00:13:16,680 Speaker 1: advertising recently, I believe it was the largest campaign they've 271 00:13:16,679 --> 00:13:19,600 Speaker 1: had in something like twenty years, so they're used to it, 272 00:13:19,640 --> 00:13:21,680 Speaker 1: but it was different. One man told me that it 273 00:13:21,720 --> 00:13:24,719 Speaker 1: was the perfect storm and the sense that you have 274 00:13:24,760 --> 00:13:27,280 Speaker 1: a lot of people coming in town from states and 275 00:13:27,360 --> 00:13:30,640 Speaker 1: areas that were more closed down, who have sort of 276 00:13:30,679 --> 00:13:32,800 Speaker 1: been in this lockdown phase, and then you come to 277 00:13:32,840 --> 00:13:35,080 Speaker 1: a place you get a little taste of freedom, and 278 00:13:35,120 --> 00:13:37,720 Speaker 1: then you combine that with the parting and the drinking 279 00:13:37,800 --> 00:13:40,760 Speaker 1: the drugs throughout the day, and it just created this 280 00:13:40,880 --> 00:13:44,240 Speaker 1: environment where a lot of chaos going on. But one 281 00:13:44,240 --> 00:13:46,680 Speaker 1: thing I thought was interesting. I asked the assistant police 282 00:13:46,760 --> 00:13:50,560 Speaker 1: chief because he had mentioned concerns about COVID spreading, and 283 00:13:50,640 --> 00:13:52,600 Speaker 1: I asked him, you look at cities like even Miami, 284 00:13:53,520 --> 00:13:56,120 Speaker 1: who over the past few months have seen large gatherings 285 00:13:56,120 --> 00:13:57,880 Speaker 1: with a lot of the riots and the protests we 286 00:13:57,920 --> 00:14:01,520 Speaker 1: saw in the aftermath of George Woyd, And I had 287 00:14:01,559 --> 00:14:03,320 Speaker 1: asked him, most did you guys see a spike in 288 00:14:03,400 --> 00:14:06,040 Speaker 1: COVID cases after that? And he actually said they hadn't. 289 00:14:06,080 --> 00:14:08,000 Speaker 1: They hadn't seen the data that would support that. So 290 00:14:08,080 --> 00:14:10,600 Speaker 1: I thought that was really interesting. And of course, when 291 00:14:10,600 --> 00:14:13,679 Speaker 1: you do these segments, there's limited time, so not everything 292 00:14:13,720 --> 00:14:15,520 Speaker 1: can make it in there. But I thought that was 293 00:14:15,559 --> 00:14:19,920 Speaker 1: really interesting because every time, you know, there's if teams 294 00:14:19,920 --> 00:14:22,240 Speaker 1: are holding, you know, football games, or in the events 295 00:14:22,240 --> 00:14:24,920 Speaker 1: of the protests and the riots, there's always concern expressed 296 00:14:24,920 --> 00:14:28,040 Speaker 1: about COVID spread, but seems like in the outdoor environments 297 00:14:28,040 --> 00:14:46,360 Speaker 1: at lease that hasn't been the case. My sense is 298 00:14:46,360 --> 00:14:50,080 Speaker 1: that Fludians, maybe because of the sunlight, are just dramatically 299 00:14:50,160 --> 00:14:52,920 Speaker 1: less worried close now when down and we're looking at 300 00:14:52,920 --> 00:14:56,240 Speaker 1: a place in Naples, and the tone and the mood 301 00:14:56,280 --> 00:15:01,120 Speaker 1: in Washington is so much different. I mean, people are 302 00:15:01,200 --> 00:15:04,280 Speaker 1: locked down, they're unhappy, they're in the middle of political fights. 303 00:15:04,960 --> 00:15:07,080 Speaker 1: And then you get to Florida and people are basically 304 00:15:07,680 --> 00:15:11,560 Speaker 1: very happy wandering around and they know COVID's a little 305 00:15:11,560 --> 00:15:15,760 Speaker 1: bit of a problem, but it doesn't dominate their lives. Admittedly, 306 00:15:15,920 --> 00:15:19,200 Speaker 1: I'm a pretty upbeat person largely in life, and I 307 00:15:19,240 --> 00:15:21,000 Speaker 1: was living in New York City before I came down 308 00:15:21,000 --> 00:15:23,200 Speaker 1: to Florida, and I was getting kind of depressed. I 309 00:15:23,240 --> 00:15:25,560 Speaker 1: spent the first few months with COVID at home with 310 00:15:25,600 --> 00:15:28,320 Speaker 1: my parents, which was the most time I've ever spent 311 00:15:28,360 --> 00:15:30,760 Speaker 1: at home as you know, grown adult, and that was 312 00:15:30,800 --> 00:15:32,520 Speaker 1: really nice to spend that time with them. I might 313 00:15:32,560 --> 00:15:34,520 Speaker 1: have always been really close to my parents anyways, but 314 00:15:34,640 --> 00:15:36,880 Speaker 1: it was just really nice to kind of have that 315 00:15:37,000 --> 00:15:39,000 Speaker 1: together time with my family. And I got to see 316 00:15:39,040 --> 00:15:41,560 Speaker 1: my niece and then my nephew when he was born, 317 00:15:41,680 --> 00:15:43,520 Speaker 1: and so that was really cool to be able to 318 00:15:43,520 --> 00:15:46,240 Speaker 1: spend that time with my family. But when I went 319 00:15:46,280 --> 00:15:48,400 Speaker 1: back to New York, it was tough. You're living in 320 00:15:48,400 --> 00:15:51,120 Speaker 1: this tiny studio apartment that you're paying way too much 321 00:15:51,160 --> 00:15:54,480 Speaker 1: for because it's New York, it's lonely and it's really sad, 322 00:15:54,520 --> 00:15:57,560 Speaker 1: and I wasn't going into the office, and so it 323 00:15:57,600 --> 00:16:00,240 Speaker 1: was tough. But coming down here to Florida, it's just 324 00:16:00,480 --> 00:16:02,360 Speaker 1: I've been so much happier, and there is something to 325 00:16:02,360 --> 00:16:04,760 Speaker 1: be said for the sunshine, the water, The people are 326 00:16:04,760 --> 00:16:07,720 Speaker 1: friendlier here, and it's just such a happier environment. But 327 00:16:07,800 --> 00:16:10,960 Speaker 1: it's also a testament to the decisions that Governor Ron 328 00:16:11,000 --> 00:16:14,600 Speaker 1: de Santis made, because when Governor Cuomo was sending COVID 329 00:16:14,600 --> 00:16:17,720 Speaker 1: positive patients in a nursing homes and assisted living facilities, 330 00:16:17,800 --> 00:16:20,840 Speaker 1: Governor Ron de Santis was instructing the opposite and was 331 00:16:20,920 --> 00:16:24,480 Speaker 1: creating those twenty three isolation centers for the elderly, despite 332 00:16:24,480 --> 00:16:27,040 Speaker 1: the fact that Florida has I think the second largest 333 00:16:27,040 --> 00:16:30,960 Speaker 1: elderly population in the country, second to Maine, and isolating 334 00:16:31,000 --> 00:16:33,440 Speaker 1: the elderly and then allowing the rest of the state 335 00:16:33,520 --> 00:16:36,800 Speaker 1: to try to live life as normally as possible. You know, 336 00:16:36,840 --> 00:16:39,760 Speaker 1: that's a testament to him and his decision making process. 337 00:16:40,320 --> 00:16:44,160 Speaker 1: My daughter Kathy and her husband Paul live on Key Biscayne, which, 338 00:16:44,200 --> 00:16:47,520 Speaker 1: as you know, sort of across the bay from South Beach. 339 00:16:48,240 --> 00:16:51,560 Speaker 1: They have great respect for Governor de Santis and they 340 00:16:51,600 --> 00:16:55,560 Speaker 1: only think overall that Florida has handled the whole COVID 341 00:16:55,640 --> 00:16:59,120 Speaker 1: experience so much better than what they see on the 342 00:16:59,160 --> 00:17:02,640 Speaker 1: media from other days. Just kind of a fascinating study. 343 00:17:03,360 --> 00:17:07,040 Speaker 1: And it's so interesting too, Speaker, because you remember early 344 00:17:07,119 --> 00:17:10,119 Speaker 1: on when Governor de Sante's was making some of these decisions, 345 00:17:10,240 --> 00:17:12,960 Speaker 1: and you know Governor Kemp was as well, when he 346 00:17:13,000 --> 00:17:16,760 Speaker 1: was reopening Georgia, and ironically Governor Polis and Colorado was 347 00:17:16,800 --> 00:17:19,320 Speaker 1: actually doing similar things. They were all sort of reopening. 348 00:17:19,880 --> 00:17:24,840 Speaker 1: You had this liberal, progressive Democrat reopening his state. Nothing crickets, 349 00:17:25,000 --> 00:17:27,280 Speaker 1: But then Governor Kemp is like sending people to their deaths, 350 00:17:27,320 --> 00:17:29,439 Speaker 1: and so is Governor de Sante's, which is always how 351 00:17:29,440 --> 00:17:32,320 Speaker 1: the media goes because they're incredibly dishonest. Now we can 352 00:17:32,320 --> 00:17:35,720 Speaker 1: take a victory lap because even liberal outlets are sort 353 00:17:35,720 --> 00:17:38,679 Speaker 1: of seemingly realizing that maybe he was onto something. I 354 00:17:38,720 --> 00:17:40,399 Speaker 1: think that's right, and I think there's the weight of 355 00:17:40,440 --> 00:17:44,800 Speaker 1: evidence about the mishandling in New York and New Jersey 356 00:17:44,840 --> 00:17:49,359 Speaker 1: and Michigan. Senior citizens comes in. I think that the 357 00:17:49,400 --> 00:17:53,680 Speaker 1: whole bureaucratic domination gets challenged by people who just think, 358 00:17:54,080 --> 00:17:56,480 Speaker 1: you know, you killed people. I think at least six 359 00:17:56,520 --> 00:17:59,440 Speaker 1: to nine thousand senior citizens died in New York because 360 00:17:59,480 --> 00:18:03,080 Speaker 1: of Cuomo decisions, which were I think largely driven by 361 00:18:03,080 --> 00:18:06,920 Speaker 1: the hospital lobbyists. Frankly, I'm curious. You know you're out here, 362 00:18:06,960 --> 00:18:09,439 Speaker 1: You've been a staff around the hill. You decide to 363 00:18:09,480 --> 00:18:12,440 Speaker 1: really go in and learn the political business the old 364 00:18:12,480 --> 00:18:15,360 Speaker 1: fashioned way by actually doing it, and then you turn 365 00:18:15,400 --> 00:18:19,080 Speaker 1: around and in twenty sixteen you joined Fox. What led 366 00:18:19,160 --> 00:18:22,399 Speaker 1: you to decide to try your hand being a reporter. 367 00:18:23,240 --> 00:18:26,159 Speaker 1: The first time I did TV, I was working on 368 00:18:26,200 --> 00:18:29,400 Speaker 1: the Tommy Thompson for Senate race and my boss, Keith Gilks, 369 00:18:29,520 --> 00:18:32,320 Speaker 1: who is I think one of the smartest minds in politics. 370 00:18:32,840 --> 00:18:36,359 Speaker 1: He's a Wisconsin based consultant, and he told me I 371 00:18:36,400 --> 00:18:39,200 Speaker 1: was doing spin Room, which for the folks at home 372 00:18:39,280 --> 00:18:41,640 Speaker 1: who are unaware, that's after a debate. You go out 373 00:18:41,680 --> 00:18:43,920 Speaker 1: and you're basically like, this is why my candidate won. 374 00:18:43,960 --> 00:18:46,159 Speaker 1: And then you take questions from reporters, which in a 375 00:18:46,240 --> 00:18:48,720 Speaker 1: state like wisconsin's tough because the press corps there is 376 00:18:48,800 --> 00:18:52,040 Speaker 1: very liberal. I'd never done TV, so obviously I'm terrified, 377 00:18:52,760 --> 00:18:55,800 Speaker 1: and I'm like, oh, man, like, you know, like so scared. 378 00:18:56,119 --> 00:18:57,720 Speaker 1: And I went out and I loved it and they're 379 00:18:57,760 --> 00:18:59,920 Speaker 1: just being on your feet and having to think very 380 00:19:00,080 --> 00:19:02,600 Speaker 1: quickly and sort of coming under fire. I just I 381 00:19:02,680 --> 00:19:05,320 Speaker 1: enjoyed it, and so I kind of told myself I 382 00:19:05,359 --> 00:19:06,879 Speaker 1: was like, at one point, you know, I'd really love 383 00:19:06,920 --> 00:19:10,200 Speaker 1: to do TV. I find myself in between jobs, trying 384 00:19:10,200 --> 00:19:11,879 Speaker 1: to figure out what was next. I get looped up 385 00:19:11,920 --> 00:19:14,320 Speaker 1: with Chris Starr while he was actually the first to 386 00:19:14,320 --> 00:19:16,760 Speaker 1: give me an opportunity on his online show, and then 387 00:19:17,200 --> 00:19:18,600 Speaker 1: you know how it goes. It's sort of, you know, 388 00:19:18,640 --> 00:19:22,119 Speaker 1: one thing leads to another. I started publishing columns, and 389 00:19:22,160 --> 00:19:24,959 Speaker 1: then it was Fox and Friends and it was Your World, 390 00:19:25,040 --> 00:19:27,800 Speaker 1: and then started sort of progressing and then the Orilly 391 00:19:27,840 --> 00:19:30,400 Speaker 1: team gave me a weekly spot on his show, which 392 00:19:30,440 --> 00:19:32,440 Speaker 1: is huge and he was the number one at the time, 393 00:19:33,000 --> 00:19:35,280 Speaker 1: So I did that every Tuesday with One Williams. And 394 00:19:35,320 --> 00:19:38,240 Speaker 1: then I started doing Special Report and Fox News Sunday, 395 00:19:38,240 --> 00:19:40,600 Speaker 1: and then started getting co hosting opportunities and it really 396 00:19:40,640 --> 00:19:43,600 Speaker 1: just sort of kept progressing and I just loved it. 397 00:19:43,800 --> 00:19:46,160 Speaker 1: I'm a political nerd, I mean, I love this stuff 398 00:19:46,200 --> 00:19:48,680 Speaker 1: and I find it interesting, and so to be able 399 00:19:48,760 --> 00:19:51,200 Speaker 1: to be on the other side of it where you're 400 00:19:51,240 --> 00:19:53,520 Speaker 1: no longer sort of being a spokesperson for someone, and 401 00:19:53,560 --> 00:19:55,479 Speaker 1: to speak for yourself and to be able to speak 402 00:19:56,080 --> 00:19:59,199 Speaker 1: freely and say the things that you believe and is 403 00:19:59,240 --> 00:20:01,520 Speaker 1: just so cool. And I mean, I feel really blessed 404 00:20:01,560 --> 00:20:03,920 Speaker 1: that I'm doing what I'm doing now and to be 405 00:20:03,920 --> 00:20:05,920 Speaker 1: able to work for Fox, the number one network, and 406 00:20:05,960 --> 00:20:08,040 Speaker 1: to have that opportunity, and then to now to be 407 00:20:08,080 --> 00:20:10,439 Speaker 1: able to have this podcast and kind of had my 408 00:20:10,480 --> 00:20:12,440 Speaker 1: own space and to be a part of your team. 409 00:20:12,440 --> 00:20:15,160 Speaker 1: And I've always really admired you, speaker get Rich, because 410 00:20:15,440 --> 00:20:17,600 Speaker 1: you're one of the smartest people in politics, and you're 411 00:20:17,600 --> 00:20:19,399 Speaker 1: just so sharp and you always have your finger on 412 00:20:19,440 --> 00:20:22,680 Speaker 1: the pulse of politics and on what people are thinking, 413 00:20:22,720 --> 00:20:23,840 Speaker 1: and so it was just an honor to be able 414 00:20:23,880 --> 00:20:26,720 Speaker 1: to come on board with you guys and to kind 415 00:20:26,720 --> 00:20:29,600 Speaker 1: of have this space to interview people. So really, I 416 00:20:29,680 --> 00:20:32,400 Speaker 1: love the media. I love to be able to interview people. 417 00:20:32,359 --> 00:20:34,280 Speaker 1: I'd love to be able to talk to people. I 418 00:20:34,359 --> 00:20:37,080 Speaker 1: love to be able to give my opinion. That's very cool. 419 00:20:53,119 --> 00:20:55,440 Speaker 1: I get the sense, and I think this is part 420 00:20:55,440 --> 00:20:58,480 Speaker 1: of what Calisto was responding to when she would watch 421 00:20:58,480 --> 00:21:03,720 Speaker 1: you and TV. I mean, you're only a very positive, energetic, 422 00:21:04,920 --> 00:21:08,879 Speaker 1: focus on what's happening now kind of person. I'm just 423 00:21:09,080 --> 00:21:13,600 Speaker 1: very impressed with the enthusiasm and the commitment you make 424 00:21:14,119 --> 00:21:17,359 Speaker 1: to really making every day complete and full of activity 425 00:21:17,400 --> 00:21:20,879 Speaker 1: and energy. Thank you, sir. I really appreciate that. And 426 00:21:20,920 --> 00:21:23,199 Speaker 1: I also feel like, you know, if we're given this 427 00:21:23,320 --> 00:21:25,919 Speaker 1: position to give her opinion, you gotta be honest and 428 00:21:25,960 --> 00:21:28,520 Speaker 1: you got to say what you believe. And I'm sure, 429 00:21:28,560 --> 00:21:32,040 Speaker 1: like you you similarly concerned with sort of the trajectory 430 00:21:32,080 --> 00:21:34,359 Speaker 1: that our country is going in, and COVID has really 431 00:21:34,359 --> 00:21:38,200 Speaker 1: got me concerned, and it's almost a fight for freedom, 432 00:21:38,800 --> 00:21:41,879 Speaker 1: and it's a fight for what we believe in as 433 00:21:41,880 --> 00:21:44,400 Speaker 1: a country. And I find it to be scary that 434 00:21:44,440 --> 00:21:46,480 Speaker 1: you know, so many people have not had a problem 435 00:21:47,280 --> 00:21:51,720 Speaker 1: with the authoritary arean overreach that we've seen on you know, 436 00:21:51,760 --> 00:21:54,879 Speaker 1: the state and local level, or even President Biden's first 437 00:21:55,160 --> 00:21:59,080 Speaker 1: primetime address where he's like, yeah, maybe by July fourth, 438 00:21:59,080 --> 00:22:00,720 Speaker 1: if you guys are a good little boys and girls, 439 00:22:00,720 --> 00:22:02,440 Speaker 1: you maybe you can go see your family. And it's 440 00:22:02,440 --> 00:22:05,399 Speaker 1: like you don't get to make that decisions. President Biden, like, 441 00:22:05,400 --> 00:22:07,280 Speaker 1: we're a free country, and if we want to go 442 00:22:07,320 --> 00:22:09,480 Speaker 1: see your family, we can go see your family. Or 443 00:22:10,040 --> 00:22:13,720 Speaker 1: the state and local government trying to dictate if you 444 00:22:13,760 --> 00:22:16,199 Speaker 1: can go to church, if you own a restaurant that 445 00:22:16,200 --> 00:22:20,359 Speaker 1: you've put your entire life into, your entire financial wellbeing into. 446 00:22:20,359 --> 00:22:24,200 Speaker 1: You've invested your blood, sweat, and tears into this restaurant 447 00:22:24,200 --> 00:22:26,480 Speaker 1: to build something to provide jobs for other people, and 448 00:22:26,480 --> 00:22:30,119 Speaker 1: then the government tells you you can't open. That's disgusting, 449 00:22:30,160 --> 00:22:32,159 Speaker 1: that's not America. And so we're really, I think, in 450 00:22:32,200 --> 00:22:34,840 Speaker 1: a fight for freedom. Another thing that really concerns me 451 00:22:34,880 --> 00:22:38,440 Speaker 1: and all of that is that left is they control 452 00:22:38,680 --> 00:22:41,720 Speaker 1: everything right now. They control a big government, they control education, 453 00:22:41,760 --> 00:22:46,760 Speaker 1: they control big tech, they control America's corporations, and with 454 00:22:46,840 --> 00:22:49,600 Speaker 1: that control they're able to set the tone for the 455 00:22:49,600 --> 00:22:52,320 Speaker 1: rest of the country, set the narrative, to dictate what 456 00:22:52,480 --> 00:22:55,280 Speaker 1: is acceptable thought, what is acceptable to read, what our 457 00:22:55,320 --> 00:22:58,199 Speaker 1: acceptable opinions are, what we're supposed to believe, and then 458 00:22:58,240 --> 00:23:00,359 Speaker 1: they have the power and all that control role to 459 00:23:00,440 --> 00:23:03,600 Speaker 1: then come in and if you don't subscribe to that group, 460 00:23:03,720 --> 00:23:07,399 Speaker 1: think boom, you lose your podcast, you lose your book, 461 00:23:07,520 --> 00:23:11,040 Speaker 1: you get fired, you're shamed, you're you know this, you're that. 462 00:23:11,560 --> 00:23:13,840 Speaker 1: And it doesn't it's not always necessarily someone on the right. 463 00:23:13,840 --> 00:23:15,719 Speaker 1: We saw that with the teen Vogue editor. You know, 464 00:23:15,800 --> 00:23:18,240 Speaker 1: she tweeted out things a few years ago and that 465 00:23:18,359 --> 00:23:21,040 Speaker 1: you know, probably they weren't great, and you know, she 466 00:23:21,160 --> 00:23:24,200 Speaker 1: lost that job. And so I think we're kind of 467 00:23:24,240 --> 00:23:27,840 Speaker 1: in this terrifying place where it is imperative to be 468 00:23:27,920 --> 00:23:31,040 Speaker 1: truthful and it's imperative to fight and to say what 469 00:23:31,080 --> 00:23:35,760 Speaker 1: you believe, because we might not have that opportunity moving forward. 470 00:23:36,240 --> 00:23:39,119 Speaker 1: So now's the time I think you put your finger 471 00:23:39,119 --> 00:23:42,200 Speaker 1: on it, and I think your podcasts are going to 472 00:23:42,240 --> 00:23:46,800 Speaker 1: be a real contribution two people understanding sort of the 473 00:23:46,880 --> 00:23:50,199 Speaker 1: news behind the news. I hope so, and you know, 474 00:23:50,200 --> 00:23:53,000 Speaker 1: and I hope for instance, the questions that I asked 475 00:23:53,040 --> 00:23:54,520 Speaker 1: the President the other day. It was just things I 476 00:23:54,520 --> 00:23:57,840 Speaker 1: was genuinely curious and to hear his opinion. And so 477 00:23:58,520 --> 00:24:02,080 Speaker 1: I hope to keep that curiosity moving forward and to 478 00:24:02,119 --> 00:24:04,520 Speaker 1: ask people things that are on my mind, and hopefully 479 00:24:04,560 --> 00:24:07,560 Speaker 1: also when the folks who are listening and just to 480 00:24:07,560 --> 00:24:10,879 Speaker 1: have some of these discussions, and hopefully to continue to 481 00:24:10,920 --> 00:24:13,679 Speaker 1: have big names, but also to really dive into the 482 00:24:13,760 --> 00:24:16,640 Speaker 1: issues as well, because that is one of the challenges 483 00:24:16,680 --> 00:24:19,879 Speaker 1: of TV. Sometimes, especially as a contributor, you go on 484 00:24:19,960 --> 00:24:22,680 Speaker 1: for five minutes, you only have time to say so much, 485 00:24:23,040 --> 00:24:25,719 Speaker 1: whereas with the podcast, you have an extended period of 486 00:24:25,720 --> 00:24:27,879 Speaker 1: time to really talk to someone, to really dive in, 487 00:24:27,960 --> 00:24:30,719 Speaker 1: to really dig into the issues. So I think that 488 00:24:30,760 --> 00:24:33,320 Speaker 1: will be really cool, just a learning experience for myself 489 00:24:33,920 --> 00:24:36,919 Speaker 1: to ask questions of people who I'm generally curious, to 490 00:24:36,960 --> 00:24:38,800 Speaker 1: hear their response and what they have to say, and 491 00:24:38,880 --> 00:24:41,679 Speaker 1: to really learn and dive into some of these issues 492 00:24:41,720 --> 00:24:44,439 Speaker 1: and learn along the way with the folks who are listening. 493 00:24:44,880 --> 00:24:47,840 Speaker 1: From your perspective, I'm very curious when you did this 494 00:24:47,960 --> 00:24:51,200 Speaker 1: long interview with the President, which I thought President Trump 495 00:24:51,280 --> 00:24:54,280 Speaker 1: was amazingly generous and as a sign of how much 496 00:24:54,280 --> 00:24:57,520 Speaker 1: he really likes you. What was the biggest single surprise 497 00:24:57,600 --> 00:25:00,760 Speaker 1: to you? That was so nice of him to give 498 00:25:00,800 --> 00:25:02,719 Speaker 1: me that time because he's a busy man, and so 499 00:25:02,800 --> 00:25:04,840 Speaker 1: that was really cool to be able to be that 500 00:25:05,600 --> 00:25:07,879 Speaker 1: interview that I think it was the longest interview my 501 00:25:08,000 --> 00:25:12,200 Speaker 1: understanding since he's left the office. Biggest surprise. I actually 502 00:25:12,240 --> 00:25:14,520 Speaker 1: think it was interesting to hear his take on the 503 00:25:14,560 --> 00:25:18,480 Speaker 1: thought process behind his immigration policies, and that he had 504 00:25:18,520 --> 00:25:22,879 Speaker 1: also mentioned the Keystone Pipeline and how ending it benefited 505 00:25:22,960 --> 00:25:25,520 Speaker 1: Warren Buffett. I thought that was interesting as well, so 506 00:25:25,640 --> 00:25:28,080 Speaker 1: just sort of like those little nuggets of information, But 507 00:25:28,280 --> 00:25:30,680 Speaker 1: I thought kind of hearing the thought process behind his 508 00:25:30,720 --> 00:25:34,159 Speaker 1: immigration policies was really interesting to me because you know, 509 00:25:34,200 --> 00:25:37,480 Speaker 1: he never got any credit for anything, And where I 510 00:25:37,560 --> 00:25:40,560 Speaker 1: always valued about him and thought was so different than 511 00:25:40,600 --> 00:25:42,280 Speaker 1: what we've had in the past is that he was 512 00:25:42,320 --> 00:25:45,760 Speaker 1: an outsider, that he did think differently, his team thought differently, 513 00:25:45,960 --> 00:25:47,600 Speaker 1: and a lot of the people he brought on board 514 00:25:47,600 --> 00:25:49,960 Speaker 1: are doers and people who have accomplished things. They don't 515 00:25:50,000 --> 00:25:52,960 Speaker 1: just think in like theories and pontificate like so many 516 00:25:52,960 --> 00:25:54,800 Speaker 1: people who have only worked in government or a lot 517 00:25:54,800 --> 00:25:58,160 Speaker 1: of the people that Obama and Biden have surrounded themselves 518 00:25:58,160 --> 00:26:00,760 Speaker 1: with He surrounded himself with people who have got things done, 519 00:26:00,880 --> 00:26:03,359 Speaker 1: people who have been in charge of companies and CEOs 520 00:26:03,359 --> 00:26:06,520 Speaker 1: and governors, and people that have actually produced tangible results. 521 00:26:06,720 --> 00:26:09,640 Speaker 1: And that showed I believe in the policy is even 522 00:26:09,840 --> 00:26:12,520 Speaker 1: dangling those tariffs in front of the Mexican president to 523 00:26:12,520 --> 00:26:15,360 Speaker 1: get him to step up to the plate on immigration. 524 00:26:15,800 --> 00:26:18,600 Speaker 1: And then the remain in Mexico policy was so efficient 525 00:26:18,640 --> 00:26:21,359 Speaker 1: and so smart because the problem with a lot of 526 00:26:21,359 --> 00:26:23,320 Speaker 1: the asylum seekers. I mean, sure, of course you have 527 00:26:23,359 --> 00:26:27,320 Speaker 1: people that are coming here under legitimate reasons seeking asylum. Yeah, 528 00:26:27,359 --> 00:26:30,240 Speaker 1: but you also have a people that are exploiting the law, 529 00:26:30,560 --> 00:26:34,600 Speaker 1: and they're exploiting the asylum system. Because ninety percent passed 530 00:26:34,640 --> 00:26:37,959 Speaker 1: that first initial interview, they get entry into the United States, 531 00:26:37,960 --> 00:26:41,760 Speaker 1: and then many go disappearing among the illegal population we 532 00:26:41,800 --> 00:26:44,040 Speaker 1: have in the country. And so that's the objective. The 533 00:26:44,080 --> 00:26:46,679 Speaker 1: cartels tell them what to say. You pass that first interview, 534 00:26:46,720 --> 00:26:48,480 Speaker 1: you get in. But then if you look at the 535 00:26:48,480 --> 00:26:51,080 Speaker 1: people who actually make it to court, I think it's 536 00:26:51,400 --> 00:26:53,960 Speaker 1: what eighty eight to ninety percent get rejected. And that's 537 00:26:54,000 --> 00:26:56,600 Speaker 1: either for the people who don't show up or because 538 00:26:56,640 --> 00:26:59,040 Speaker 1: they just don't have a case. And so you look 539 00:26:59,040 --> 00:27:02,159 Speaker 1: at the contrast where you know, ninety percent past that 540 00:27:02,320 --> 00:27:04,919 Speaker 1: first initial interview and then only what like ten percent 541 00:27:05,040 --> 00:27:08,119 Speaker 1: actually get asylum. So that's a problem, and so they 542 00:27:08,200 --> 00:27:11,280 Speaker 1: remain in Mexico. Policy was so smart because people had 543 00:27:11,280 --> 00:27:14,840 Speaker 1: to remain in Mexico waiting for their asylum hearings, and 544 00:27:14,880 --> 00:27:17,480 Speaker 1: so it disincentivized a lot of people to try to 545 00:27:18,080 --> 00:27:20,600 Speaker 1: abuse or asylum process because they didn't want to have 546 00:27:20,680 --> 00:27:22,240 Speaker 1: to wait in Mexico. They wanted to use it as 547 00:27:22,280 --> 00:27:24,840 Speaker 1: a ticket into the United States and then get lost. 548 00:27:24,840 --> 00:27:27,560 Speaker 1: So even just stuff like that, I mean, really smart, 549 00:27:27,600 --> 00:27:29,360 Speaker 1: and never gets credit for it. And then of course 550 00:27:29,400 --> 00:27:31,320 Speaker 1: you have Biden come in because he's a product of 551 00:27:31,400 --> 00:27:33,119 Speaker 1: DC and has been there for forty seven years and 552 00:27:33,160 --> 00:27:35,560 Speaker 1: has no idea what he's doing, and of course he 553 00:27:35,640 --> 00:27:39,480 Speaker 1: reverses all the good work that President Trump did and 554 00:27:39,520 --> 00:27:42,280 Speaker 1: then ends up being completely inhumane in his approach, because 555 00:27:42,320 --> 00:27:44,600 Speaker 1: now you've got these facilities in Texas that are at 556 00:27:44,640 --> 00:27:47,720 Speaker 1: seven hundred and twenty nine percent capacity or whatever, and 557 00:27:47,840 --> 00:27:49,480 Speaker 1: you know, if you've got folks sleeping on the floor, 558 00:27:49,480 --> 00:27:52,639 Speaker 1: and it's completely inhumane, and he's putting kids back in 559 00:27:52,840 --> 00:27:56,199 Speaker 1: the quote unquote cages that Obama and him built, but 560 00:27:56,400 --> 00:27:59,119 Speaker 1: now it's migrant facilities because that's how the media works. 561 00:27:59,200 --> 00:28:02,879 Speaker 1: I can't even your thought process and some of the stuff, speaker, 562 00:28:02,920 --> 00:28:07,240 Speaker 1: because you understand everything. You've seen it for decades. Now 563 00:28:07,280 --> 00:28:10,600 Speaker 1: you understand the process more than anyone. But even as myself, 564 00:28:10,640 --> 00:28:14,360 Speaker 1: who has been in it since I graduated college, this 565 00:28:14,359 --> 00:28:18,040 Speaker 1: whole system is so messed up. It's so broken. Government 566 00:28:18,119 --> 00:28:20,000 Speaker 1: is such a joke, and the media are a bunch 567 00:28:20,000 --> 00:28:22,600 Speaker 1: of liars, And it's like, once you understand it, you've 568 00:28:22,640 --> 00:28:25,399 Speaker 1: kind of seen different sides of the equation. It's just 569 00:28:25,440 --> 00:28:28,040 Speaker 1: a joke. And President Trump accomplished so much and has 570 00:28:28,080 --> 00:28:31,239 Speaker 1: never got a single ounce of credit from anyone. Well, 571 00:28:31,320 --> 00:28:35,960 Speaker 1: you know, I think that's exactly right, the hostility which 572 00:28:35,960 --> 00:28:39,880 Speaker 1: began in twenty fifteen. I mean, Trump is an astonishing figure, 573 00:28:40,200 --> 00:28:43,560 Speaker 1: partially because he was just able to keep standing and 574 00:28:43,640 --> 00:28:45,240 Speaker 1: focus on what he wanted to get done. I mean 575 00:28:45,640 --> 00:28:47,160 Speaker 1: I got beaten up a fair amount when I was 576 00:28:47,160 --> 00:28:50,040 Speaker 1: a speaker, and I had worked with and served with 577 00:28:50,080 --> 00:28:53,920 Speaker 1: Reagan when I was in Congress, but compared to what 578 00:28:54,000 --> 00:28:56,400 Speaker 1: they did to Trump, Reagan and I never had any 579 00:28:56,400 --> 00:28:59,240 Speaker 1: great problems so I often marveled, particularly when you go 580 00:28:59,280 --> 00:29:01,760 Speaker 1: through the impeachment and saying you go through the investigations, 581 00:29:01,760 --> 00:29:04,520 Speaker 1: and you go through the every single day assault by 582 00:29:04,520 --> 00:29:06,800 Speaker 1: the media. I just thought the fact that he was 583 00:29:06,840 --> 00:29:09,760 Speaker 1: still standing and he was still focused on what he 584 00:29:09,800 --> 00:29:13,840 Speaker 1: wanted to do was astonishing. Of course, we're really excited 585 00:29:14,240 --> 00:29:18,240 Speaker 1: that you're part of the gingwhich sixty podcast family. How 586 00:29:18,280 --> 00:29:20,720 Speaker 1: do you in your own mind, you're doing so many 587 00:29:20,880 --> 00:29:26,040 Speaker 1: different interesting things. How do you see your podcast evolving? Well, 588 00:29:26,080 --> 00:29:28,920 Speaker 1: I hope it's just a place for a really interesting conversation. 589 00:29:29,200 --> 00:29:31,640 Speaker 1: And you know, I think what's cool about podcasts is, 590 00:29:32,480 --> 00:29:33,960 Speaker 1: you know, there's a lot of times so I think 591 00:29:33,960 --> 00:29:36,920 Speaker 1: people get to know you better than you know, maybe 592 00:29:36,920 --> 00:29:39,000 Speaker 1: just a quick you know, hit here and there, and 593 00:29:39,040 --> 00:29:41,760 Speaker 1: so hopefully that you know, kind of build a community 594 00:29:41,760 --> 00:29:44,080 Speaker 1: and sort of a family with the audience and have 595 00:29:44,160 --> 00:29:46,680 Speaker 1: it be a place I really hope that people trust 596 00:29:47,280 --> 00:29:49,280 Speaker 1: and they feel like they can go to and you know, 597 00:29:49,280 --> 00:29:52,320 Speaker 1: there's no bs and they get it real and you know, 598 00:29:52,360 --> 00:29:54,600 Speaker 1: a place that I can earn their trust with my 599 00:29:54,640 --> 00:30:01,480 Speaker 1: podcast is really the objective. New episode of Lisa Booths podcast, 600 00:30:01,840 --> 00:30:05,480 Speaker 1: The Truth of Lisa Booth are released every Wednesday. Our 601 00:30:05,520 --> 00:30:09,880 Speaker 1: podcast is available at gingwire dot com, on the iHeartMedia app, 602 00:30:10,080 --> 00:30:13,080 Speaker 1: and wherever you get your podcast. And now here's a 603 00:30:13,160 --> 00:30:16,160 Speaker 1: sneak Peak of the Truth with Lisa Booth and her 604 00:30:16,200 --> 00:30:20,040 Speaker 1: interview with President Donald J. Trump. I want to talk 605 00:30:20,080 --> 00:30:24,520 Speaker 1: to you about the border crisis and what's going on there. 606 00:30:24,560 --> 00:30:27,680 Speaker 1: You know, they obviously refuse to call it a border crisis, 607 00:30:28,320 --> 00:30:30,640 Speaker 1: but the US is on pace right now to stop 608 00:30:30,680 --> 00:30:33,960 Speaker 1: more migrants crossing the border, or more migrants crossing the 609 00:30:34,000 --> 00:30:36,880 Speaker 1: border than in the last twenty years. You had immigration 610 00:30:36,920 --> 00:30:40,040 Speaker 1: under control. You had to remain in Mexico policy. You 611 00:30:40,080 --> 00:30:43,040 Speaker 1: were putting up a wall. You were not doing catch 612 00:30:43,040 --> 00:30:45,400 Speaker 1: and release, which is something Joe Biden is doing now, 613 00:30:45,400 --> 00:30:47,920 Speaker 1: so you had it handled. Is there any advice that 614 00:30:47,960 --> 00:30:50,080 Speaker 1: you would like to give Joe Biden on how he 615 00:30:50,120 --> 00:30:53,120 Speaker 1: should be handling the immigration crisis right now? Well, finish 616 00:30:53,200 --> 00:30:55,080 Speaker 1: the wall. Don't forget we would delay two and a 617 00:30:55,120 --> 00:30:58,400 Speaker 1: half years with litigation from the Democrats, from Nancy Pelosi 618 00:30:58,440 --> 00:31:02,440 Speaker 1: in Congress. We're getting sued by the Democrats, I mean 619 00:31:02,560 --> 00:31:06,080 Speaker 1: literally by Nancy Pelosi, and we won those cases, but 620 00:31:06,320 --> 00:31:08,840 Speaker 1: we wasted two and a half years. Despite that. The 621 00:31:08,880 --> 00:31:12,200 Speaker 1: wall is just about finished, just little sections of the wall. 622 00:31:12,520 --> 00:31:16,320 Speaker 1: Contractors are essentially paid, and they should finish the wall. 623 00:31:16,560 --> 00:31:18,640 Speaker 1: It's a very little could you could finish it in 624 00:31:18,680 --> 00:31:22,280 Speaker 1: a month, and it's impossible that they're not. It's just 625 00:31:22,400 --> 00:31:24,680 Speaker 1: crazy that they're not finishing in the wall. So that's 626 00:31:24,720 --> 00:31:26,680 Speaker 1: one piece of advice. And then you have to go 627 00:31:26,760 --> 00:31:29,400 Speaker 1: back that week. You have to remain in Mexico. You know, 628 00:31:29,480 --> 00:31:33,160 Speaker 1: Mexico and I had a very good relationship. I must say, 629 00:31:33,200 --> 00:31:35,400 Speaker 1: we had a great I have a lot of respect 630 00:31:35,440 --> 00:31:38,920 Speaker 1: and like for the President of Mexico. They had their 631 00:31:38,920 --> 00:31:41,440 Speaker 1: soldiers while we were building the wall. They had twenty 632 00:31:41,440 --> 00:31:46,400 Speaker 1: seven thousand soldiers guarding the wall, guarding our border, and 633 00:31:46,480 --> 00:31:48,640 Speaker 1: they did a very good job. I must tell you. 634 00:31:48,640 --> 00:31:50,400 Speaker 1: You know, they don't have the restrictions that we have. 635 00:31:50,760 --> 00:31:53,120 Speaker 1: They did a very very good job. But we had 636 00:31:53,120 --> 00:31:56,240 Speaker 1: it to a level that they say it has never been. 637 00:31:56,400 --> 00:31:59,000 Speaker 1: We haven't. We got rid of all sorts of things, 638 00:31:59,040 --> 00:32:02,960 Speaker 1: including catching release, all sorts of horrible things that were 639 00:32:03,360 --> 00:32:05,080 Speaker 1: that we had to live with. We got rid and 640 00:32:05,920 --> 00:32:08,320 Speaker 1: the remain in Mexico right now. They're remaining in the 641 00:32:08,400 --> 00:32:10,600 Speaker 1: United States and they're never going to leave. And we 642 00:32:10,680 --> 00:32:12,640 Speaker 1: have no idea who these people are. But I can 643 00:32:12,720 --> 00:32:15,480 Speaker 1: tell you when countries send people up, and they do 644 00:32:15,560 --> 00:32:17,680 Speaker 1: send them up, when they send them up, they're not 645 00:32:17,760 --> 00:32:21,240 Speaker 1: sending up their finest. Okay, they're not sending up their finest. 646 00:32:22,120 --> 00:32:24,520 Speaker 1: You have some very good people coming up, but you 647 00:32:24,600 --> 00:32:28,840 Speaker 1: have some really bad ones coming to, really dangerous criminals 648 00:32:28,880 --> 00:32:31,480 Speaker 1: coming up, and we're allowing them to come right into 649 00:32:31,480 --> 00:32:34,520 Speaker 1: our country. It's insane, and it's nothing compared to what 650 00:32:34,560 --> 00:32:36,840 Speaker 1: it's going to be over the coming months. When you 651 00:32:36,880 --> 00:32:40,840 Speaker 1: see it now, enjoy it because it's much better now 652 00:32:41,080 --> 00:32:42,960 Speaker 1: when you see it in two or three months, because 653 00:32:42,960 --> 00:32:45,400 Speaker 1: they're just starting to come. They'll be coming up by 654 00:32:45,440 --> 00:32:48,520 Speaker 1: the millions, and we have no idea I mean forgetting 655 00:32:48,560 --> 00:32:52,240 Speaker 1: even about COVID and no testing, no nothing. I mean, 656 00:32:52,280 --> 00:32:55,600 Speaker 1: we're trying to get rid because we came up with 657 00:32:55,640 --> 00:32:57,840 Speaker 1: a vaccine. We're going to be hopefully in good shape 658 00:32:57,880 --> 00:32:59,920 Speaker 1: in the not too dis the future. But these people 659 00:33:00,040 --> 00:33:04,280 Speaker 1: that up being tested nothing. But they're also as I 660 00:33:04,320 --> 00:33:07,120 Speaker 1: said before, you have some very bad embreds coming up 661 00:33:07,560 --> 00:33:10,920 Speaker 1: and we're taking them into our country and it's insane. 662 00:33:11,360 --> 00:33:17,120 Speaker 1: They're destroying our country, Lisa, they're destroying our country. Listen, 663 00:33:17,200 --> 00:33:20,440 Speaker 1: thank you for joining me. I am really excited you're 664 00:33:20,480 --> 00:33:23,560 Speaker 1: part of the Gingwish Sweet sixty podcast family. I'm looking 665 00:33:23,600 --> 00:33:26,560 Speaker 1: forward to your new podcast, The Truth with Lisa Booth, 666 00:33:26,960 --> 00:33:29,520 Speaker 1: and I know based on this first episode, you're just 667 00:33:29,560 --> 00:33:32,480 Speaker 1: going to keep us educated and informed and have a 668 00:33:32,520 --> 00:33:35,640 Speaker 1: great program. So thank you for joining me, and thank 669 00:33:35,640 --> 00:33:37,640 Speaker 1: you for investing me and bringing me on to the team. 670 00:33:37,720 --> 00:33:40,040 Speaker 1: It's an honor and I'm very appreciative, So thank you. 671 00:33:42,520 --> 00:33:44,840 Speaker 1: Thank you to my guest, Lisa Booth. You can find 672 00:33:44,840 --> 00:33:47,640 Speaker 1: a link to our new podcast, The Truth with Lisa 673 00:33:47,680 --> 00:33:51,320 Speaker 1: Booth on our show page at newtsworld dot com. Newts 674 00:33:51,320 --> 00:33:55,080 Speaker 1: World is produced by Gingwish Sweet sixty and iHeartMedia. Our 675 00:33:55,160 --> 00:33:59,600 Speaker 1: executive producer is Debbie Myers, our producer is Garnsey Sloan, 676 00:34:00,040 --> 00:34:03,400 Speaker 1: and our researcher is Rachel Peterson. Your work for the 677 00:34:03,440 --> 00:34:06,880 Speaker 1: show was created by Steve Penley. Special thanks to the 678 00:34:06,880 --> 00:34:10,040 Speaker 1: team at Gingwish three sixty. If you've been enjoying Newtsworld, 679 00:34:10,280 --> 00:34:13,120 Speaker 1: I hope you'll go to Apple Podcast and both rate 680 00:34:13,200 --> 00:34:15,920 Speaker 1: us with five stars and give us a review so 681 00:34:16,040 --> 00:34:20,480 Speaker 1: others can learn what it's all about. Right now, listeners 682 00:34:20,520 --> 00:34:23,920 Speaker 1: of Newtsworld can sign up from my three free weekly 683 00:34:24,000 --> 00:34:28,839 Speaker 1: columns at gingwish free sixty dot com slash newsletter. I'm 684 00:34:28,920 --> 00:34:41,439 Speaker 1: Newt Gingrich. This is Newtsworld, part of the Gingwich three 685 00:34:41,560 --> 00:34:42,280 Speaker 1: sixty network