1 00:00:00,160 --> 00:00:02,800 Speaker 1: Up next out Loud with you know called part of 2 00:00:02,800 --> 00:00:11,520 Speaker 1: the beginning with seafor America has lost its sense of 3 00:00:11,600 --> 00:00:13,440 Speaker 1: humor and it needs to get it back. My guest 4 00:00:13,480 --> 00:00:15,640 Speaker 1: today is someone who will make you think and make 5 00:00:15,640 --> 00:00:18,200 Speaker 1: your laugh sometimes at the same time. You probably know 6 00:00:18,320 --> 00:00:20,680 Speaker 1: Catherine took best from her work on Fox News. She 7 00:00:20,840 --> 00:00:23,159 Speaker 1: was a Fox News contributor for years, first appearing on 8 00:00:23,160 --> 00:00:25,479 Speaker 1: the Greg Gutfield Show Red Eye. Cat then became a 9 00:00:25,520 --> 00:00:28,639 Speaker 1: regular guest on an assortment of other Fox programs before 10 00:00:28,640 --> 00:00:31,600 Speaker 1: becoming co host of The Fox News Specialists. In she 11 00:00:31,640 --> 00:00:34,600 Speaker 1: became the host of her own show, Sincerely Cat on 12 00:00:34,800 --> 00:00:37,360 Speaker 1: Fox Nation. And if that isn't enough, Cat is also 13 00:00:37,400 --> 00:00:39,920 Speaker 1: a comedian who has performed stand up across the country. 14 00:00:40,120 --> 00:00:49,159 Speaker 1: Let's go, Cat' temp. Thank you for coming on with me. 15 00:00:49,720 --> 00:00:52,959 Speaker 1: Of course, now a lot of folks may know we've 16 00:00:53,000 --> 00:00:56,200 Speaker 1: been friends for some years now, and I'm always grateful 17 00:00:56,240 --> 00:01:01,200 Speaker 1: for your words of wisdom and certainly your comedy. You're 18 00:01:01,320 --> 00:01:04,160 Speaker 1: very funny, and I think what's also interesting about the 19 00:01:04,280 --> 00:01:08,640 Speaker 1: interview we're doing now for people is we actually recorded 20 00:01:08,720 --> 00:01:14,280 Speaker 1: this previously while I was in Dubai. Yeah, but you 21 00:01:14,319 --> 00:01:21,280 Speaker 1: were galivanting Dubai and I was in my office. I 22 00:01:21,400 --> 00:01:23,959 Speaker 1: was working the entire time. Trust me, it was a 23 00:01:23,959 --> 00:01:25,880 Speaker 1: work trip. I don't I'm not taking a vacation in 24 00:01:26,000 --> 00:01:29,480 Speaker 1: years like legitimately in years. But we recorded this and 25 00:01:29,520 --> 00:01:32,000 Speaker 1: the expectation was we were going to be my second 26 00:01:32,040 --> 00:01:35,360 Speaker 1: or third interview because the election was coming up, and 27 00:01:35,400 --> 00:01:37,480 Speaker 1: after the election, I thought we can quickly pivot to 28 00:01:37,560 --> 00:01:40,280 Speaker 1: something that's kind of lighthearted and fun, and you would 29 00:01:40,319 --> 00:01:43,640 Speaker 1: be the great guests for that. But certainly things continue 30 00:01:43,640 --> 00:01:48,280 Speaker 1: to happen in the election and recount and lawsuit, and 31 00:01:49,040 --> 00:01:53,400 Speaker 1: there's still things going on today interestingly enough, so I'm 32 00:01:53,440 --> 00:01:55,080 Speaker 1: just so intrigued. What do you make of all of 33 00:01:55,080 --> 00:01:58,800 Speaker 1: this that's been going on um in the election cycle. Yeah, 34 00:01:58,840 --> 00:02:01,640 Speaker 1: you know, it's almost as if this is not over 35 00:02:01,720 --> 00:02:04,560 Speaker 1: anytime soon, right, which is what I said back when 36 00:02:04,560 --> 00:02:07,840 Speaker 1: we recorded that happen that the people were like, oh, 37 00:02:07,960 --> 00:02:10,440 Speaker 1: can't wait till the beginning of November is over. I'm like, 38 00:02:10,600 --> 00:02:16,320 Speaker 1: you fool, It is never over. Because people are so 39 00:02:17,040 --> 00:02:20,280 Speaker 1: divided right now and an election, they're not just gonna 40 00:02:20,320 --> 00:02:24,720 Speaker 1: say oh yeah, okay, And nobody trust anybody, but particularly 41 00:02:24,720 --> 00:02:27,919 Speaker 1: not the media. And it's easy to kind of understand 42 00:02:27,919 --> 00:02:30,840 Speaker 1: why in some respects. For example, Biden goes on and 43 00:02:30,880 --> 00:02:32,760 Speaker 1: on about how he wants to unite the country. Right, 44 00:02:33,160 --> 00:02:36,680 Speaker 1: but yeah, he won't even do something simple like acknowledging 45 00:02:36,880 --> 00:02:39,160 Speaker 1: the fact doesn't even have to give his opinion. He 46 00:02:39,200 --> 00:02:42,400 Speaker 1: can hate Trump all he wants, but acknowledging the fact 47 00:02:42,800 --> 00:02:45,560 Speaker 1: that Trump got a vaccine done with within nine months 48 00:02:45,680 --> 00:02:47,360 Speaker 1: and it but but no, but but but they're not 49 00:02:47,400 --> 00:02:51,600 Speaker 1: acknowledging that. Or I'll see left leaning media sources saying well, well, yeah, 50 00:02:51,639 --> 00:02:53,760 Speaker 1: but you know, the government, the taxpayers didn't even pay 51 00:02:53,800 --> 00:02:58,080 Speaker 1: for that vaccine. It's like, yeah, that's good, Like that's 52 00:02:58,400 --> 00:03:01,840 Speaker 1: that's good, It's yeah. It's this thing called working with 53 00:03:01,919 --> 00:03:06,639 Speaker 1: private businesses that the rest of us have all been time. Yeah, 54 00:03:06,639 --> 00:03:10,120 Speaker 1: people are so critical. Thinking of any kind is lost. 55 00:03:10,160 --> 00:03:13,840 Speaker 1: I think even on all around right and both major parties. 56 00:03:13,960 --> 00:03:16,799 Speaker 1: I would say some aspects of this for sure, because 57 00:03:17,080 --> 00:03:19,280 Speaker 1: there's no room for it because you're just gonna blindly. 58 00:03:19,840 --> 00:03:21,840 Speaker 1: Rather than looking at the facts of something and saying 59 00:03:21,840 --> 00:03:24,320 Speaker 1: here's what I think, they're looking at the facts of 60 00:03:24,360 --> 00:03:27,000 Speaker 1: something and say, Okay, how do I make these fit 61 00:03:27,120 --> 00:03:31,280 Speaker 1: my preconceived narrative for my political party. So you're like 62 00:03:31,320 --> 00:03:33,360 Speaker 1: this isn't logical. How is this going on? Well, it's 63 00:03:33,400 --> 00:03:37,280 Speaker 1: because there's no logic involved. So you think honesty has 64 00:03:37,320 --> 00:03:40,720 Speaker 1: been lost clearly. Yeah, nobody cares about facts right now. 65 00:03:40,760 --> 00:03:43,760 Speaker 1: They just care about what they're It's all partisan. It's 66 00:03:43,800 --> 00:03:48,120 Speaker 1: completely partisan. I have a close friend that I like, 67 00:03:48,240 --> 00:03:52,400 Speaker 1: We haven't spoken since election because it was falling apart 68 00:03:52,480 --> 00:03:57,960 Speaker 1: our relationship because I was voting for Joe Jorgensen and 69 00:03:58,040 --> 00:04:01,480 Speaker 1: not Joe Biden, and made me a racist that I 70 00:04:01,520 --> 00:04:03,600 Speaker 1: did not plan on voting on, you know, voting for 71 00:04:03,640 --> 00:04:08,520 Speaker 1: the author of the n slash co sponsor of the 72 00:04:08,600 --> 00:04:14,440 Speaker 1: crack and cocaine sentencing disparity, like Mr mandatory minimums like. 73 00:04:14,840 --> 00:04:17,880 Speaker 1: But again, but again, where's the logic in there? There 74 00:04:18,160 --> 00:04:22,600 Speaker 1: is none. There's just none. Yeah, that's pretty insane. That's crazy. 75 00:04:22,760 --> 00:04:25,320 Speaker 1: So that made you racist for not voting for Joe Biden. 76 00:04:25,360 --> 00:04:28,000 Speaker 1: That's a new one. Actually, that should be a tweet. 77 00:04:28,040 --> 00:04:30,680 Speaker 1: That's it sounds rather insane, And you're right. I I 78 00:04:30,800 --> 00:04:34,480 Speaker 1: thought doing the election cycle that Joe Biden was in 79 00:04:34,600 --> 00:04:38,200 Speaker 1: terms of a historical perspective and a policy perspective, would 80 00:04:38,200 --> 00:04:40,760 Speaker 1: be the worst person to vote for. I'm talking about 81 00:04:40,760 --> 00:04:43,560 Speaker 1: for in terms of African Americans just from that policy 82 00:04:43,600 --> 00:04:47,160 Speaker 1: perspective alone, just that alone was just kind of a 83 00:04:47,279 --> 00:04:49,680 Speaker 1: rude awakening for so many people. Now, do you know 84 00:04:49,760 --> 00:04:54,680 Speaker 1: anybody that's excited about Joe biden presidency. No, even when 85 00:04:55,160 --> 00:04:57,800 Speaker 1: even when all of the you know, the revelers were 86 00:04:57,839 --> 00:05:02,640 Speaker 1: like drinking and doing drugs and street celebrated, they weren't saying, yeah, Biden. 87 00:05:02,720 --> 00:05:06,480 Speaker 1: They were like Trump soup, like they don't like him 88 00:05:06,520 --> 00:05:09,440 Speaker 1: other than that he isn't Donald Trump. And again that's 89 00:05:09,480 --> 00:05:12,640 Speaker 1: because they're not thinking, except they're just saying, I know, 90 00:05:12,760 --> 00:05:16,440 Speaker 1: I hate Trump. This guy's not Trump. Therefore I'm throwing 91 00:05:16,520 --> 00:05:19,600 Speaker 1: all my energy into this. And it's just crazy with 92 00:05:19,640 --> 00:05:21,520 Speaker 1: like everything that happened. And you think that people are 93 00:05:21,520 --> 00:05:23,680 Speaker 1: starting because we do have huge problems with our criminal 94 00:05:23,720 --> 00:05:25,280 Speaker 1: justice system, and this is something that you and I 95 00:05:25,279 --> 00:05:28,720 Speaker 1: have talked about many times, and so they have they 96 00:05:28,760 --> 00:05:32,160 Speaker 1: put their they put forward Joe Biden and a crooked 97 00:05:32,240 --> 00:05:38,920 Speaker 1: cop on the ticket, and I just yeah, there's still 98 00:05:39,040 --> 00:05:41,680 Speaker 1: people who are in prison who should not be there. 99 00:05:42,040 --> 00:05:45,520 Speaker 1: Because of her time, she constantly fought, you know, against 100 00:05:45,600 --> 00:05:48,920 Speaker 1: the accused who had many reasons to believe they were 101 00:05:48,920 --> 00:05:51,480 Speaker 1: wrongfully accused. Any reasonable person to look at the evidence 102 00:05:51,520 --> 00:05:54,119 Speaker 1: and I know you know all this, and she never 103 00:05:54,240 --> 00:05:56,640 Speaker 1: took their side except for when there was public pressure. 104 00:05:56,720 --> 00:06:00,880 Speaker 1: So the whole record, right, her whole record is about 105 00:06:01,360 --> 00:06:04,400 Speaker 1: gaining and maintaining power. So if something was not popular, 106 00:06:04,440 --> 00:06:05,680 Speaker 1: that's fine. But like she's like, oh, I don't want 107 00:06:05,680 --> 00:06:08,320 Speaker 1: to mind, I'm wrong. There's George Gage, many people still 108 00:06:08,400 --> 00:06:12,160 Speaker 1: in prison. It's like, that's the thing, because I get 109 00:06:12,160 --> 00:06:14,160 Speaker 1: people can change their minds this and that. I changed 110 00:06:14,240 --> 00:06:16,760 Speaker 1: my mind. You know, everyone changes their mind. But when 111 00:06:16,800 --> 00:06:19,640 Speaker 1: it comes to criminal justice, we're not talking about oh 112 00:06:19,680 --> 00:06:21,880 Speaker 1: I said this, I shouldn't have said this. We're talking 113 00:06:21,880 --> 00:06:25,200 Speaker 1: about something that you did that put people behind bars 114 00:06:25,440 --> 00:06:28,600 Speaker 1: that are still behind bars, or if they're free, and 115 00:06:28,640 --> 00:06:30,599 Speaker 1: a lot of them were ironically freed because of the 116 00:06:30,600 --> 00:06:34,280 Speaker 1: Trump administration legislation. So the exact scene people, particularly when 117 00:06:34,279 --> 00:06:37,680 Speaker 1: people were there for crack cocaine. We're freed earlier than 118 00:06:37,720 --> 00:06:39,719 Speaker 1: they you know, would have been. But they were in 119 00:06:39,760 --> 00:06:41,880 Speaker 1: there so long because of Joe and they're out because 120 00:06:41,880 --> 00:06:44,719 Speaker 1: of Trump. Nobody talks about that. Yeah, and that policy 121 00:06:44,760 --> 00:06:46,680 Speaker 1: you're referring to is the first step back with thousands 122 00:06:46,680 --> 00:06:49,480 Speaker 1: of people are released from jail. Being an African American 123 00:06:50,560 --> 00:06:55,520 Speaker 1: is yea, this is perhaps one of the most intriguing 124 00:06:55,839 --> 00:06:57,920 Speaker 1: years coming up. I think that we're going to see 125 00:06:58,000 --> 00:07:02,240 Speaker 1: with the COVID vaccine really already in motion. People are 126 00:07:02,279 --> 00:07:05,080 Speaker 1: already receiving a vaccine. And I'm not sure how you 127 00:07:05,120 --> 00:07:07,520 Speaker 1: feel about the vaccine, but there's been some reporting of 128 00:07:07,680 --> 00:07:12,080 Speaker 1: nurses taking it, and there's been some maybe some responses 129 00:07:12,560 --> 00:07:18,080 Speaker 1: people didn't expectacine. You're not getting positive I am. I have. 130 00:07:18,760 --> 00:07:21,360 Speaker 1: I have definitely put way worse things in my body, 131 00:07:21,680 --> 00:07:24,240 Speaker 1: Like I just I'm just certain of it, you know, 132 00:07:24,320 --> 00:07:27,840 Speaker 1: like at least this one has a chance of keeping 133 00:07:27,880 --> 00:07:30,360 Speaker 1: me healthy. I've put you know, I mean, I'm vaping 134 00:07:30,680 --> 00:07:34,400 Speaker 1: during this conversation, Like I know that's not good for me, 135 00:07:34,440 --> 00:07:37,760 Speaker 1: and I'm doing it willingly. Okay, that's the other thing, man, 136 00:07:37,840 --> 00:07:41,080 Speaker 1: Like I if you're get the vaccine, like I don't know. 137 00:07:41,160 --> 00:07:43,040 Speaker 1: But then again, like I said, I take huge risks 138 00:07:43,080 --> 00:07:46,280 Speaker 1: with my health. A lot before this call, I ate 139 00:07:46,360 --> 00:07:49,320 Speaker 1: like a massive amount of burger king, you know, I 140 00:07:49,640 --> 00:07:51,720 Speaker 1: in college and drink a lot of jungle juice out 141 00:07:51,760 --> 00:07:56,119 Speaker 1: of like mystery tubs. Who knows is for people? Oh, 142 00:07:56,600 --> 00:08:02,280 Speaker 1: it's a giant tub of juice, and I think people 143 00:08:02,280 --> 00:08:04,640 Speaker 1: would sometimes drive out of state to get ever Clear, 144 00:08:04,680 --> 00:08:06,560 Speaker 1: which is basically like lighter fluid. It's like almost a 145 00:08:06,640 --> 00:08:10,440 Speaker 1: hunder alcohol and dump a bunch of that in with 146 00:08:10,480 --> 00:08:13,560 Speaker 1: a bunch of sugar and like punch and just you 147 00:08:13,800 --> 00:08:16,640 Speaker 1: stick your cup in there and you get you drink 148 00:08:16,640 --> 00:08:17,840 Speaker 1: out of it, and then after you got to drink, 149 00:08:17,840 --> 00:08:20,400 Speaker 1: you stick the same cup in there and everyone would 150 00:08:20,440 --> 00:08:22,960 Speaker 1: get trashed in the next day you grow up. Wow, 151 00:08:23,400 --> 00:08:27,520 Speaker 1: that sounds like almost a defence to me, saying over 152 00:08:27,560 --> 00:08:30,240 Speaker 1: my life, it was like Halloween when I was like twenty, 153 00:08:30,280 --> 00:08:32,920 Speaker 1: I was dressed as a cat, okay, and I remember 154 00:08:32,960 --> 00:08:34,520 Speaker 1: I woke up. I thought I was going to die. 155 00:08:34,520 --> 00:08:36,720 Speaker 1: I had my smeared whiskers all over my face, you 156 00:08:36,720 --> 00:08:39,080 Speaker 1: know whatever. Did not feel good. And that was that 157 00:08:39,120 --> 00:08:41,000 Speaker 1: was a jungle juice. And I love to say that 158 00:08:41,120 --> 00:08:43,400 Speaker 1: was the last time I drank juggle. But I don't 159 00:08:43,400 --> 00:08:44,959 Speaker 1: want a lie. Yeah, I don't want to ask you 160 00:08:45,720 --> 00:08:48,880 Speaker 1: yesterday what's in the vaccine. I'm not worried about what's 161 00:08:48,880 --> 00:08:51,760 Speaker 1: in the vaccine. Okay, yeah, I don't. I don't think 162 00:08:51,800 --> 00:08:55,920 Speaker 1: I'll be taking the vaccine unless there's something mandatory where 163 00:08:55,960 --> 00:08:57,880 Speaker 1: in terms of flying or something. I have no interest 164 00:08:57,920 --> 00:09:00,520 Speaker 1: in it, but I appreciate those who who are want 165 00:09:00,559 --> 00:09:02,720 Speaker 1: to take it. I think they should if they if 166 00:09:02,720 --> 00:09:06,319 Speaker 1: they want to. So, speaking of Biden in terms of 167 00:09:06,720 --> 00:09:09,360 Speaker 1: clearly he's at least it looks like he's going to 168 00:09:09,440 --> 00:09:13,720 Speaker 1: be taking office January, I don't think there's anything that 169 00:09:13,840 --> 00:09:16,640 Speaker 1: says at this point that it won't happen. Do you 170 00:09:16,720 --> 00:09:20,800 Speaker 1: expect anything fresh or exciting to come out of this? 171 00:09:20,880 --> 00:09:22,960 Speaker 1: And I mean, he's been in office for fifty years, 172 00:09:23,000 --> 00:09:27,360 Speaker 1: I would imagine, right, but he's been in office almost 173 00:09:27,360 --> 00:09:30,080 Speaker 1: twenty percent of the time that the United States has 174 00:09:30,080 --> 00:09:33,679 Speaker 1: been a country. So I love with the same people 175 00:09:33,760 --> 00:09:35,800 Speaker 1: who are like, oh, you know, like the system, like 176 00:09:35,840 --> 00:09:38,040 Speaker 1: I'm fight against the system, and but that they're like 177 00:09:38,080 --> 00:09:40,880 Speaker 1: both for Joe, but I'm like he is. Something I 178 00:09:40,920 --> 00:09:42,680 Speaker 1: thought was interesting that came out last week is that 179 00:09:42,880 --> 00:09:45,880 Speaker 1: his approval as being like pre president, which I didn't 180 00:09:45,880 --> 00:09:48,520 Speaker 1: know it was like yeah, like no, it was like 181 00:09:48,679 --> 00:09:50,959 Speaker 1: it was like the now, only it wasn't like anything 182 00:09:51,000 --> 00:09:52,559 Speaker 1: about what kind of president you think it's going to be, like, 183 00:09:52,559 --> 00:09:55,520 Speaker 1: it's like how's he doing right now? And it was sixty, 184 00:09:56,480 --> 00:09:59,920 Speaker 1: which I don't was really low. Considering he hasn't done, 185 00:10:00,040 --> 00:10:04,200 Speaker 1: and all he's done is like read some speeches other 186 00:10:04,200 --> 00:10:06,920 Speaker 1: people wrote, you know, so that would be like me 187 00:10:07,080 --> 00:10:09,720 Speaker 1: waking up from an app and people being like forty 188 00:10:09,720 --> 00:10:12,160 Speaker 1: percent of people hated the way he took that. I like, 189 00:10:12,240 --> 00:10:15,840 Speaker 1: I wasn't there. It's the exact same thing. So I 190 00:10:15,880 --> 00:10:18,719 Speaker 1: think that a lot of the coverage too, of like 191 00:10:18,760 --> 00:10:20,640 Speaker 1: the people he's standing for his cabinet. I'm getting pist 192 00:10:20,640 --> 00:10:23,480 Speaker 1: because libertarian, I'm like super anti war right, and he's 193 00:10:23,480 --> 00:10:25,360 Speaker 1: picking a lot of cogs in the war machine. So 194 00:10:25,400 --> 00:10:27,679 Speaker 1: I'm pretty pissed about that. But then again, you look 195 00:10:27,679 --> 00:10:30,040 Speaker 1: at the media and it's a lot of glowing coverage like, oh, 196 00:10:30,080 --> 00:10:33,480 Speaker 1: it's so much experience. It's like, yeah, experienced starting war, 197 00:10:34,120 --> 00:10:36,960 Speaker 1: might as well and put a misfiring drone in that position. 198 00:10:37,160 --> 00:10:38,760 Speaker 1: But maybe I just read too much. I don't know, 199 00:10:39,080 --> 00:10:40,959 Speaker 1: you know what, that's interesting. I did see that as 200 00:10:41,000 --> 00:10:43,679 Speaker 1: well on social media. I'm not aware of they're ever 201 00:10:43,720 --> 00:10:46,439 Speaker 1: being a poll for president elect, but it does speak 202 00:10:46,440 --> 00:10:49,440 Speaker 1: to the media bias. The media bias in terms of 203 00:10:49,480 --> 00:10:52,200 Speaker 1: pushing Joe Biden on a pedestal like they did do 204 00:10:52,240 --> 00:10:54,960 Speaker 1: any election. I mean, it wasn't really any serious questions 205 00:10:55,040 --> 00:10:58,040 Speaker 1: asked of him. When the Hunter Biden allegations came up, 206 00:10:58,320 --> 00:11:01,520 Speaker 1: there wasn't a really serious respe bonds to it um, 207 00:11:01,600 --> 00:11:04,600 Speaker 1: which I think really puts our country in jeopardy of 208 00:11:04,640 --> 00:11:07,800 Speaker 1: having elected officials fully and truly covered. And I think 209 00:11:07,800 --> 00:11:09,520 Speaker 1: that's gonna be problematic and we'll see a lot of 210 00:11:09,520 --> 00:11:16,160 Speaker 1: that bias. Now speaking of awful, well, just quickly, let 211 00:11:16,160 --> 00:11:18,720 Speaker 1: me just say the First Amendment. The main thing the 212 00:11:18,720 --> 00:11:20,840 Speaker 1: First Amendment, the reason behind it was it was supposed 213 00:11:20,880 --> 00:11:23,480 Speaker 1: to be important check on government power to help keep 214 00:11:23,559 --> 00:11:25,960 Speaker 1: us free. It wasn't just like, oh, you can say 215 00:11:26,000 --> 00:11:28,240 Speaker 1: whatever you want, like yeah, that's that's part of it, 216 00:11:28,280 --> 00:11:29,880 Speaker 1: but a huge part of it. You can criticize the 217 00:11:29,880 --> 00:11:31,880 Speaker 1: government as much as you want without any retaliation from 218 00:11:31,880 --> 00:11:34,120 Speaker 1: the government. And then even like you're seeing Joe but 219 00:11:34,120 --> 00:11:36,560 Speaker 1: I remember he gave his speech about his economic plan 220 00:11:36,679 --> 00:11:39,360 Speaker 1: and the first reporter asked this question, how are you 221 00:11:39,400 --> 00:11:42,160 Speaker 1: able to remain so calm when Donald Trump is so 222 00:11:42,240 --> 00:11:47,480 Speaker 1: mean to you? It's like, this hurts everyone because if 223 00:11:47,480 --> 00:11:49,720 Speaker 1: this is someone vetting to be in power over us, 224 00:11:49,800 --> 00:11:52,080 Speaker 1: or you could just be betting this person, and when 225 00:11:52,080 --> 00:11:54,000 Speaker 1: they're in office, there in power for you and all 226 00:11:54,040 --> 00:11:55,760 Speaker 1: this freedom to go hard on that, and you're gonna 227 00:11:55,920 --> 00:11:58,560 Speaker 1: do this kind of corrupt So yeah, I'm very concerned 228 00:11:58,600 --> 00:12:01,040 Speaker 1: as well. Well. I mean thing, honestly, Kat, it was 229 00:12:01,040 --> 00:12:03,679 Speaker 1: a fair question. How are your feelings doing with Donald Trump? 230 00:12:03,720 --> 00:12:11,080 Speaker 1: Is so mean? Yeah? Yeah, my own feelings that much 231 00:12:11,160 --> 00:12:14,360 Speaker 1: Like it's yeah, the guy was running for president. How 232 00:12:14,440 --> 00:12:16,320 Speaker 1: dare you ask him about his feeling Let's talk about 233 00:12:16,320 --> 00:12:19,520 Speaker 1: substance in policy. I agree with that. Yeah, Now, with 234 00:12:19,520 --> 00:12:22,320 Speaker 1: with all this going on, do you think that Donald 235 00:12:22,320 --> 00:12:25,880 Speaker 1: Trump would run for president again? I think he will. 236 00:12:26,120 --> 00:12:28,040 Speaker 1: I don't know. Here's the thing though, like he's not 237 00:12:28,120 --> 00:12:31,880 Speaker 1: going anywhere. It's gonna be funny too, because remember everyone 238 00:12:31,920 --> 00:12:35,000 Speaker 1: was like him saying this or that that's not presidential, 239 00:12:35,559 --> 00:12:37,480 Speaker 1: like they're not gonna be able to use that anymore. 240 00:12:37,720 --> 00:12:40,920 Speaker 1: I could absolutely see him doing that. It's wild because 241 00:12:41,360 --> 00:12:43,800 Speaker 1: I was I remember watching his speech at like the 242 00:12:43,960 --> 00:12:47,600 Speaker 1: convention whatever, and he would talk for so long. Remember 243 00:12:47,640 --> 00:12:50,400 Speaker 1: I was watching it, and I was getting tired, and 244 00:12:50,480 --> 00:12:53,880 Speaker 1: I am thirty two years old. He's had had a 245 00:12:53,960 --> 00:12:56,360 Speaker 1: way busier week than I did, and he's just going 246 00:12:56,400 --> 00:12:59,400 Speaker 1: and going like he has so much energy in his seventies. 247 00:12:59,440 --> 00:13:02,080 Speaker 1: I don't under standard. So it's not like he's going 248 00:13:02,120 --> 00:13:04,960 Speaker 1: to quietly go away, Absolutely not. He's he's gonna be 249 00:13:05,480 --> 00:13:07,560 Speaker 1: He's gonna be out there. And you know who's gonna 250 00:13:07,559 --> 00:13:09,840 Speaker 1: love that more than anyone? It's probably about like CNN, 251 00:13:10,360 --> 00:13:12,000 Speaker 1: Like they're still gonna be like, we're gonna have a 252 00:13:12,040 --> 00:13:14,199 Speaker 1: whole like new president and they're still gonna be like, 253 00:13:14,240 --> 00:13:17,360 Speaker 1: do you see what Trump? What else are they gonna do? 254 00:13:17,440 --> 00:13:20,160 Speaker 1: They haven't had ratings like this because the man is 255 00:13:20,200 --> 00:13:22,959 Speaker 1: good television. You can't deny that, right, Yeah, I agree 256 00:13:23,000 --> 00:13:24,960 Speaker 1: with you. I thought about that myself. Now I want 257 00:13:24,960 --> 00:13:29,360 Speaker 1: to switch gears. But first let's take a brain. Uh. 258 00:13:29,880 --> 00:13:33,520 Speaker 1: This is going to be a very interesting for sure. 259 00:13:33,760 --> 00:13:35,320 Speaker 1: But let me ask you this question, because I know 260 00:13:35,360 --> 00:13:38,000 Speaker 1: you're a libertarian and you just mentioned you voted for 261 00:13:38,000 --> 00:13:41,560 Speaker 1: the libertarian the Brain for president. In your view, how 262 00:13:41,600 --> 00:13:44,320 Speaker 1: does the libertarian differ from a conservative? Because you have 263 00:13:44,360 --> 00:13:48,120 Speaker 1: a really large base of conservatives that support you on 264 00:13:48,160 --> 00:13:50,760 Speaker 1: social media and otherwise, and they love watching your appearances 265 00:13:50,800 --> 00:13:54,000 Speaker 1: on thoughts, how do you differ from just a regular 266 00:13:54,040 --> 00:13:56,880 Speaker 1: old conservative? Yeah, I mean I do because I'm so 267 00:13:57,040 --> 00:14:00,360 Speaker 1: really socially liberal, so like to criminalize drugs, to realize 268 00:14:00,400 --> 00:14:02,840 Speaker 1: sex work. I am pro choice. I don't think I 269 00:14:02,880 --> 00:14:05,880 Speaker 1: personally could ever have an abortion, but I think that 270 00:14:05,920 --> 00:14:08,800 Speaker 1: the government shouldn't make that decision for a woman. I'm 271 00:14:08,840 --> 00:14:12,880 Speaker 1: super anti war, and I'm very pro immigration. So that's 272 00:14:12,920 --> 00:14:15,120 Speaker 1: how I differ. Part of it is when I do 273 00:14:15,200 --> 00:14:18,880 Speaker 1: talk about my differences that I have from conservatives, and 274 00:14:18,880 --> 00:14:23,560 Speaker 1: I'm very open about those things. I don't I'm not disrespectful, 275 00:14:24,360 --> 00:14:27,720 Speaker 1: Like I think that there are people who like to 276 00:14:27,760 --> 00:14:30,880 Speaker 1: talk down to conservatives or be disrespectful about their points 277 00:14:30,920 --> 00:14:34,200 Speaker 1: of view, and I think I'm fair. And it's like 278 00:14:34,400 --> 00:14:37,680 Speaker 1: I think that a lot of conservatives overall, I have 279 00:14:38,280 --> 00:14:43,160 Speaker 1: more liberals being like in my real life, even being 280 00:14:43,760 --> 00:14:47,320 Speaker 1: completely close minded. If I don't follow like the Democratic 281 00:14:47,320 --> 00:14:50,520 Speaker 1: Party platform down the line, I'm a piece of racist, 282 00:14:50,840 --> 00:14:55,680 Speaker 1: homophobic trash. And then conservatives some some of them will 283 00:14:55,680 --> 00:14:57,720 Speaker 1: go after me a little bit, but they're a little 284 00:14:57,720 --> 00:15:00,640 Speaker 1: more accepting as long as you're respectful in terms of 285 00:15:00,640 --> 00:15:03,200 Speaker 1: different points of view. That's true. That's very true. I've 286 00:15:03,240 --> 00:15:06,080 Speaker 1: noticed that too. Yeah, absolutely correct. Now, you mentioned in 287 00:15:06,200 --> 00:15:09,080 Speaker 1: terms of libertarian you believe that all drugs should be decriminalized. 288 00:15:09,320 --> 00:15:11,560 Speaker 1: Have you ever done any drugs? I mean you talked 289 00:15:11,560 --> 00:15:14,960 Speaker 1: about the jungle juice nicotine. I'm I'm addicted to nicotine. 290 00:15:15,000 --> 00:15:17,120 Speaker 1: I'm not like a yeah, I'm not a big drug scale. 291 00:15:17,360 --> 00:15:20,520 Speaker 1: But for me, it's not because like, for example, I 292 00:15:20,520 --> 00:15:23,680 Speaker 1: don't smoke crack, not because crack is illegal, right, It's 293 00:15:23,680 --> 00:15:26,640 Speaker 1: not like if it was decriminalized and be like okay, 294 00:15:26,760 --> 00:15:29,080 Speaker 1: well now it's the time I've been waiting there. It's 295 00:15:29,080 --> 00:15:33,000 Speaker 1: because it's because no, but it's because I've seen that 296 00:15:33,080 --> 00:15:36,440 Speaker 1: not work out well for people, you know, like so, 297 00:15:36,960 --> 00:15:39,520 Speaker 1: and I really think that you're putting something in your 298 00:15:39,520 --> 00:15:41,040 Speaker 1: own body. I don't think that should be something you 299 00:15:41,040 --> 00:15:44,280 Speaker 1: should be able to be thrown behind bars for. That's 300 00:15:44,320 --> 00:15:48,000 Speaker 1: just never made any sense to me. So it's certainly 301 00:15:48,000 --> 00:15:51,920 Speaker 1: not something I would choose for myself, just like based 302 00:15:51,960 --> 00:15:54,200 Speaker 1: on the amount that like how addicted I am to 303 00:15:54,320 --> 00:15:56,240 Speaker 1: my nicotine, Babe, I don't think crack is the right 304 00:15:56,280 --> 00:15:58,440 Speaker 1: choice for me. I'm glad that we both agree on 305 00:15:58,520 --> 00:16:01,280 Speaker 1: that crack is not the right choice. Cat, No, it's 306 00:16:01,280 --> 00:16:06,840 Speaker 1: really not. It's really not. I'm too impulsive drug too impulsive. 307 00:16:06,880 --> 00:16:09,320 Speaker 1: I don't think I would have I'm not good at moderation. 308 00:16:10,480 --> 00:16:13,040 Speaker 1: I wouldn't be able to, But most people, it turns out, 309 00:16:13,040 --> 00:16:15,040 Speaker 1: aren't good at moderation in terms of you know, crack, 310 00:16:15,200 --> 00:16:21,000 Speaker 1: you know that can go south. So yeah, sadly but true, Yeah, 311 00:16:21,080 --> 00:16:24,560 Speaker 1: very much so. And I know that personally from family members, 312 00:16:25,320 --> 00:16:26,840 Speaker 1: so I know you do from family. I do from 313 00:16:26,880 --> 00:16:30,560 Speaker 1: close friends too. Yeah, it's really sad. But um, knowing 314 00:16:30,960 --> 00:16:33,800 Speaker 1: that you're a person, you've lived in California for a 315 00:16:33,840 --> 00:16:37,200 Speaker 1: while at some point, and you've had some really interesting stories, 316 00:16:37,400 --> 00:16:41,400 Speaker 1: would you mind telling people how your trajectory in California 317 00:16:41,480 --> 00:16:44,240 Speaker 1: Los Angeles specifically how that went and it's so interesting. 318 00:16:44,680 --> 00:16:47,600 Speaker 1: But I used to go to the l A bureau 319 00:16:47,640 --> 00:16:49,960 Speaker 1: of Fox News channel to do my appearances, and I 320 00:16:50,000 --> 00:16:53,040 Speaker 1: remember one day you were on TV doing your Time 321 00:16:53,080 --> 00:16:55,800 Speaker 1: when you hosted this. The Fox News specialist and the 322 00:16:55,880 --> 00:16:59,680 Speaker 1: makeup artist said, I just can't believe Cat has a 323 00:16:59,680 --> 00:17:01,360 Speaker 1: show now, and I was like, really, I didn't know 324 00:17:01,600 --> 00:17:04,000 Speaker 1: you knew her, did you? She just comes to l A. 325 00:17:04,040 --> 00:17:06,480 Speaker 1: And she was like, no, she used to intern here 326 00:17:06,480 --> 00:17:08,359 Speaker 1: And I said, what can't used to intern in the 327 00:17:08,560 --> 00:17:10,720 Speaker 1: l A bureau? She said yes, she used to ride 328 00:17:10,720 --> 00:17:17,160 Speaker 1: a bike to work. You walk us to your time 329 00:17:17,400 --> 00:17:20,000 Speaker 1: in l Yeah, I was also that was I had 330 00:17:20,000 --> 00:17:22,480 Speaker 1: the internship, and I was also a Boston market cash 331 00:17:22,520 --> 00:17:24,879 Speaker 1: here at the Boston America and West l A I 332 00:17:24,960 --> 00:17:29,080 Speaker 1: gu since closed down. I had gotten into Columbia Journalism 333 00:17:29,080 --> 00:17:32,320 Speaker 1: School and I was enrolled in everything, and I was 334 00:17:32,320 --> 00:17:34,400 Speaker 1: gonna do this internship and then come to New York 335 00:17:34,440 --> 00:17:35,680 Speaker 1: for that. And then I was like, you know what, 336 00:17:36,160 --> 00:17:38,280 Speaker 1: I don't have eight tho. I could take an eighty 337 00:17:38,280 --> 00:17:40,119 Speaker 1: thou dollar loan for that, And you know what, I 338 00:17:40,160 --> 00:17:42,120 Speaker 1: was like, I will never pay that back. I will 339 00:17:42,160 --> 00:17:44,080 Speaker 1: never be able to afford to pay that back. So 340 00:17:44,119 --> 00:17:46,479 Speaker 1: I decided to get another internship, which I got at 341 00:17:46,560 --> 00:17:48,639 Speaker 1: kf I, and just try to learn this stuff for 342 00:17:48,720 --> 00:17:54,359 Speaker 1: free and like make connections. And I was tabo and 343 00:17:54,400 --> 00:17:55,840 Speaker 1: I was so broke. But I had a job as 344 00:17:55,880 --> 00:17:58,520 Speaker 1: a traffic reporter. So for a while I would wake 345 00:17:58,640 --> 00:18:01,119 Speaker 1: up and do like the morning I've like to like 346 00:18:01,160 --> 00:18:03,439 Speaker 1: five am, like nine am traffic wording. Then I go 347 00:18:03,480 --> 00:18:05,200 Speaker 1: to my radio internship and I go to my clothing 348 00:18:05,200 --> 00:18:07,399 Speaker 1: shift at the diner. Lost the traffic jobs like a 349 00:18:07,520 --> 00:18:11,480 Speaker 1: wrong direction, totally fair. Like the fact that I lasted 350 00:18:11,520 --> 00:18:14,520 Speaker 1: as long as I did is actually I'm sorry to 351 00:18:14,640 --> 00:18:18,000 Speaker 1: anyone who yeah, but I eventually ran out. I lived 352 00:18:18,000 --> 00:18:20,160 Speaker 1: in this clap trap apartment in Long Vich was so bad, 353 00:18:20,200 --> 00:18:21,960 Speaker 1: like I got fleas and skaties in the same week. 354 00:18:22,000 --> 00:18:23,920 Speaker 1: It was like the like the cat had fleas, but 355 00:18:23,920 --> 00:18:26,120 Speaker 1: they were fighting me too, But I also had skaties, 356 00:18:26,480 --> 00:18:28,000 Speaker 1: and like I couldn't afford a bed. I slept on 357 00:18:28,080 --> 00:18:29,639 Speaker 1: a yoga mat. It was I didn't have I remember 358 00:18:29,640 --> 00:18:31,040 Speaker 1: I had friends come stay with me and I was like, no, 359 00:18:31,080 --> 00:18:32,800 Speaker 1: it's really bad. They thought I was being like humble, 360 00:18:33,119 --> 00:18:34,879 Speaker 1: and they came in they were like, where's your trash counts? 361 00:18:34,920 --> 00:18:36,800 Speaker 1: Like I don't have them and I don't have to. 362 00:18:37,280 --> 00:18:39,639 Speaker 1: I was like, I don't have two dollars. So I 363 00:18:39,680 --> 00:18:42,800 Speaker 1: had like trash bags hanging from the wrap. So then 364 00:18:42,960 --> 00:18:44,520 Speaker 1: I think it's the story that I told. I end 365 00:18:44,600 --> 00:18:47,320 Speaker 1: up stop being able. Could not afford that apartment. So 366 00:18:47,359 --> 00:18:49,520 Speaker 1: this is what I was waiting table to California Pizza Kitchen, 367 00:18:49,800 --> 00:18:52,199 Speaker 1: and I was like sort of hanging out with the 368 00:18:52,240 --> 00:18:55,320 Speaker 1: bartender and he had a thing for me, but like 369 00:18:55,359 --> 00:18:56,960 Speaker 1: I didn't really want to make it a relationship, but 370 00:18:57,000 --> 00:18:58,600 Speaker 1: I also don't have a home. So I moved in 371 00:18:58,640 --> 00:19:01,560 Speaker 1: with him and his family who were They're from Columbia 372 00:19:01,720 --> 00:19:04,080 Speaker 1: and I live with them, so that I would not 373 00:19:04,119 --> 00:19:05,800 Speaker 1: be home. I mean, I guess I said, technically still 374 00:19:05,800 --> 00:19:08,320 Speaker 1: don't have an address. I guess that's like technically homeless. 375 00:19:08,359 --> 00:19:10,800 Speaker 1: But like I wasn't under a bridge. But my Spanish 376 00:19:10,840 --> 00:19:13,160 Speaker 1: was never better. It was great in terms of that, 377 00:19:13,480 --> 00:19:16,080 Speaker 1: but I had constantly so much drama. I had to 378 00:19:16,119 --> 00:19:18,480 Speaker 1: be like, listen, blank and I'll not say his name. 379 00:19:18,840 --> 00:19:24,680 Speaker 1: I live with you, but that doesn't mean we're exclusive. Wait, 380 00:19:25,200 --> 00:19:27,239 Speaker 1: you live with this guy and you were telling them 381 00:19:27,320 --> 00:19:31,280 Speaker 1: that you were not exclusive with I didn't want to 382 00:19:31,320 --> 00:19:34,800 Speaker 1: be exclusive. I wanted to do my own thing, but 383 00:19:34,920 --> 00:19:39,120 Speaker 1: I wanted to roof over my head. So yeah, I 384 00:19:39,160 --> 00:19:43,000 Speaker 1: was like, listen, we are you know, like I'm gonna 385 00:19:43,040 --> 00:19:46,080 Speaker 1: sleep in your bed, but I don't have one right now, 386 00:19:46,640 --> 00:19:52,000 Speaker 1: and thank you. I hope you're still good friends with 387 00:19:52,040 --> 00:19:56,720 Speaker 1: this guy. No, no, no, we don't. I actually he 388 00:19:56,920 --> 00:19:59,520 Speaker 1: popped up on us people you may know, on my 389 00:19:59,520 --> 00:20:02,680 Speaker 1: Facebook not too long agoing he's a year clean, which 390 00:20:02,680 --> 00:20:05,359 Speaker 1: is good because I remember he's had a drug problem 391 00:20:05,440 --> 00:20:07,439 Speaker 1: on and off. I think he was off while we 392 00:20:07,440 --> 00:20:09,720 Speaker 1: were together, but we weren't officially together, but while I 393 00:20:09,760 --> 00:20:13,280 Speaker 1: was living there. But I'm not sure of it. So wow, 394 00:20:13,359 --> 00:20:15,520 Speaker 1: that sounds like when are you writing your book, cat, 395 00:20:15,560 --> 00:20:18,920 Speaker 1: because you just have so many stories. Just very interesting. 396 00:20:20,440 --> 00:20:24,719 Speaker 1: Absolutely should I mean, it's not the typical experience. But again, 397 00:20:24,760 --> 00:20:28,679 Speaker 1: you know he so I was honest, Okay, I wasn't like, 398 00:20:29,000 --> 00:20:32,280 Speaker 1: I wasn't like I love you and then cheating on him, 399 00:20:32,600 --> 00:20:36,240 Speaker 1: you know I was. I was like, I need somewhere 400 00:20:36,240 --> 00:20:40,960 Speaker 1: to live. We're cool, right, We're going to continue this 401 00:20:41,000 --> 00:20:43,320 Speaker 1: conversation in the moment, but first we need to take 402 00:20:43,320 --> 00:20:46,720 Speaker 1: a quick break. I think you and I are both 403 00:20:46,760 --> 00:20:49,159 Speaker 1: eyeballs in that way, like we both worked for the 404 00:20:49,200 --> 00:20:51,959 Speaker 1: network and they're like, okay, there's literally no one like 405 00:20:52,040 --> 00:20:54,960 Speaker 1: YouTube on the network or either comes onto the network. 406 00:20:55,040 --> 00:20:57,359 Speaker 1: So that that's interesting. So from this time in l 407 00:20:57,440 --> 00:21:00,119 Speaker 1: A and now you see what happened, what has up 408 00:21:00,119 --> 00:21:03,440 Speaker 1: been during the COVID era with Gavin Newsom is the governor. 409 00:21:03,960 --> 00:21:06,120 Speaker 1: What do you think of all the restrictions? I ran 410 00:21:06,160 --> 00:21:08,359 Speaker 1: out of the state. I left the state two months 411 00:21:08,359 --> 00:21:10,240 Speaker 1: into the shut now because I just couldn't do it anymore. 412 00:21:10,240 --> 00:21:11,840 Speaker 1: Now I'm in my own what do you take of 413 00:21:11,880 --> 00:21:15,960 Speaker 1: all the It's a lot of it's crap, And obviously 414 00:21:16,000 --> 00:21:17,760 Speaker 1: he thinks it's crap, or he wouldn't be going out 415 00:21:18,000 --> 00:21:21,000 Speaker 1: to dinners in door like himself for his you know, 416 00:21:21,040 --> 00:21:23,439 Speaker 1: advisor or whatever. And it's we have that in New 417 00:21:23,520 --> 00:21:25,879 Speaker 1: York to write like Cuomo. I hate Cuomo with a 418 00:21:26,000 --> 00:21:29,560 Speaker 1: burning passion, and I don't have like that much emotional 419 00:21:29,640 --> 00:21:32,199 Speaker 1: energy to like spend hating people. But with him, I 420 00:21:32,280 --> 00:21:35,040 Speaker 1: can't help it because he closed indoor dining here right 421 00:21:35,160 --> 00:21:37,680 Speaker 1: even though the infection rate from indoor dining was one 422 00:21:37,680 --> 00:21:41,560 Speaker 1: point four percent. So it's obvious to me and should 423 00:21:41,560 --> 00:21:44,800 Speaker 1: be obvious to anyone who's read even one thing about this, 424 00:21:45,359 --> 00:21:49,400 Speaker 1: that he doesn't care about your livelihood, your mental health, 425 00:21:49,440 --> 00:21:52,440 Speaker 1: anything else. Because even before this was announced, data was 426 00:21:52,480 --> 00:21:56,080 Speaker 1: showing that dining out of restaurants was down se from 427 00:21:56,080 --> 00:21:57,480 Speaker 1: what it was at the same time last year. They're 428 00:21:57,520 --> 00:21:59,600 Speaker 1: already struggling, many of others already closes, are struggling to 429 00:21:59,600 --> 00:22:03,080 Speaker 1: stay open. His main concern, and I am confident about this, 430 00:22:03,680 --> 00:22:06,480 Speaker 1: is to look like he's doing something so that he 431 00:22:06,520 --> 00:22:09,800 Speaker 1: can keep being lauded as a hero. And that's gross. 432 00:22:09,800 --> 00:22:12,439 Speaker 1: And what's even grossers that people allow are allowing it. 433 00:22:12,480 --> 00:22:14,160 Speaker 1: Like every time I open up my phone, he's getting 434 00:22:14,200 --> 00:22:17,280 Speaker 1: some new award like and and any or whatnot, like 435 00:22:17,359 --> 00:22:20,919 Speaker 1: if unless you're getting an award for being a narcissistic jackass. 436 00:22:21,280 --> 00:22:23,640 Speaker 1: I don't understand how it happens. And I think that's 437 00:22:23,640 --> 00:22:26,199 Speaker 1: why people are getting really piste off, because it's not 438 00:22:26,240 --> 00:22:29,080 Speaker 1: that you're saying, okay, like I don't I want people 439 00:22:29,119 --> 00:22:32,240 Speaker 1: to die, I'm gonna kill your grandma. That's not it. 440 00:22:32,480 --> 00:22:34,679 Speaker 1: People are saying, how you're telling us to look at 441 00:22:34,680 --> 00:22:37,119 Speaker 1: the science. How does the science of a one point 442 00:22:37,200 --> 00:22:39,840 Speaker 1: for infection rates say you need to completely shut this down? 443 00:22:40,080 --> 00:22:42,800 Speaker 1: And there's seventy from in home gathering, so you're forcing 444 00:22:42,840 --> 00:22:45,679 Speaker 1: people to do the riskier thing. You were just trying 445 00:22:45,760 --> 00:22:48,199 Speaker 1: to look like you're tough on COVID guy, so you 446 00:22:48,200 --> 00:22:50,560 Speaker 1: can parade yourself around and your little about your little 447 00:22:50,560 --> 00:22:52,240 Speaker 1: book about how you beat COVID, which, by the way, 448 00:22:52,240 --> 00:22:54,400 Speaker 1: if you did, why are we doing this again? Yeah? 449 00:22:54,640 --> 00:22:58,120 Speaker 1: And our colleague Jane Um, she knows very well her 450 00:22:58,960 --> 00:23:01,760 Speaker 1: parents in law, her in laws died in the nursing 451 00:23:01,880 --> 00:23:05,240 Speaker 1: home because of Andrew Como's policies, and and and speaking 452 00:23:05,280 --> 00:23:07,800 Speaker 1: of California with Gavin Newsom, I know you know that 453 00:23:08,160 --> 00:23:11,120 Speaker 1: know these things really well. Because you were Robert Novak 454 00:23:11,240 --> 00:23:16,400 Speaker 1: Journalism fellow in you completed a project titled As California Goes, 455 00:23:16,440 --> 00:23:19,960 Speaker 1: So Goes the Nation, The consequences of following Garden State Policy. 456 00:23:20,000 --> 00:23:21,920 Speaker 1: So you know this stuff very very well, and it's 457 00:23:22,359 --> 00:23:26,480 Speaker 1: really disturbing for so many that they businesses won't be 458 00:23:26,520 --> 00:23:28,359 Speaker 1: able to open back up. So what happens to the 459 00:23:28,400 --> 00:23:31,560 Speaker 1: economy in one what what happens for these businesses have 460 00:23:31,720 --> 00:23:35,040 Speaker 1: gone belly up and bankrupt? Right exactly. And that's why 461 00:23:35,040 --> 00:23:37,320 Speaker 1: I get so piste off with But just stay home, 462 00:23:37,440 --> 00:23:40,680 Speaker 1: like take that just and like shove it up your butt, 463 00:23:40,720 --> 00:23:44,640 Speaker 1: because you're telling people just give up your livelihood. Just 464 00:23:44,640 --> 00:23:46,639 Speaker 1: just say goodbye to all of your hard work and 465 00:23:46,680 --> 00:23:49,679 Speaker 1: all the things you've sacrificed. And even New York, the 466 00:23:49,760 --> 00:23:51,800 Speaker 1: great thing about living in New York, and one of 467 00:23:51,840 --> 00:23:53,800 Speaker 1: the great things about the l A Area too, is 468 00:23:53,840 --> 00:23:55,800 Speaker 1: like there's so much culture and you can go to 469 00:23:55,840 --> 00:23:58,560 Speaker 1: these restaurants, you can see these bands, and and that's 470 00:23:58,560 --> 00:24:01,520 Speaker 1: why you pay more well, especially in New York entirely 471 00:24:01,520 --> 00:24:02,879 Speaker 1: and all of the least there's a beach, but in 472 00:24:02,880 --> 00:24:05,640 Speaker 1: New York that's literally entirely. You have to go into 473 00:24:05,800 --> 00:24:10,200 Speaker 1: the beaches are hours away entirely because of the restaurants 474 00:24:10,240 --> 00:24:12,879 Speaker 1: and and the culture and the events. If the only 475 00:24:12,920 --> 00:24:16,440 Speaker 1: place that's able to stay open is like burger King 476 00:24:16,440 --> 00:24:18,520 Speaker 1: and Taco Bell and I ate burger King today, So 477 00:24:18,600 --> 00:24:22,080 Speaker 1: I'm not shaming, I'm not too good for it, okay, 478 00:24:22,119 --> 00:24:24,240 Speaker 1: But how is it different from anywhere else in the 479 00:24:24,280 --> 00:24:27,240 Speaker 1: country then, So you're not just killing off the restaurant industry, 480 00:24:27,240 --> 00:24:29,240 Speaker 1: you're killing off the city. And the same goes for 481 00:24:29,280 --> 00:24:31,280 Speaker 1: at both l A and New York are both in 482 00:24:31,320 --> 00:24:33,639 Speaker 1: the in the very same situation when it comes to 483 00:24:33,680 --> 00:24:36,560 Speaker 1: this kind of thing. And and and I also, yes, 484 00:24:36,880 --> 00:24:41,200 Speaker 1: COVID very dangerous. You can be deadly for for people, 485 00:24:41,560 --> 00:24:45,800 Speaker 1: but also prolonged loneliness doesn't just it absolutely has mental 486 00:24:45,840 --> 00:24:49,280 Speaker 1: health effects, but also research after research shows also has 487 00:24:49,359 --> 00:24:53,840 Speaker 1: physical health effects. It can accelerate dementia, It can affect 488 00:24:54,240 --> 00:24:56,400 Speaker 1: so many different things, raising your risk of all these 489 00:24:56,400 --> 00:24:59,919 Speaker 1: different health issues up to and including early death. Like 490 00:25:00,200 --> 00:25:03,040 Speaker 1: so when you add poverty on to that the health 491 00:25:03,080 --> 00:25:07,400 Speaker 1: implications that and addiction of course, addiction, I mean overdose 492 00:25:07,480 --> 00:25:10,520 Speaker 1: deaths are up in a huge way, alcoholism, drug addiction 493 00:25:10,600 --> 00:25:13,200 Speaker 1: up in a huge way. These are real things too. 494 00:25:13,640 --> 00:25:16,040 Speaker 1: Talking about that gets you labeled some kind of truth her. 495 00:25:16,080 --> 00:25:17,920 Speaker 1: It's like, this is you you want to talk about 496 00:25:17,920 --> 00:25:20,080 Speaker 1: the science because you say you do, Let's talk about it. 497 00:25:20,200 --> 00:25:23,320 Speaker 1: That's true, That's very true. Now you're not just a 498 00:25:23,359 --> 00:25:25,879 Speaker 1: commentator and writer for Fox News, you're also a comedian, 499 00:25:26,640 --> 00:25:32,119 Speaker 1: and I'm interested, how did you become a comedian stand 500 00:25:32,200 --> 00:25:35,159 Speaker 1: up comic? Like, how did that happen? I require a 501 00:25:35,160 --> 00:25:38,000 Speaker 1: lot of attention, So I found there was a hobby 502 00:25:38,000 --> 00:25:40,119 Speaker 1: where I could get out of the stage and I 503 00:25:40,119 --> 00:25:42,720 Speaker 1: would get it. That's part of it. When I really 504 00:25:42,760 --> 00:25:44,320 Speaker 1: got into it was when l when I was in 505 00:25:44,480 --> 00:25:46,320 Speaker 1: l A. And the other guy I lived with he 506 00:25:46,480 --> 00:25:50,640 Speaker 1: was my boyfriend. But there's another guy, the guy Blake. 507 00:25:50,680 --> 00:25:52,840 Speaker 1: You know, he's cheens, his dad. We're very good friends. 508 00:25:52,840 --> 00:25:55,440 Speaker 1: Like I'm friends with his currect girlfriend. He's friends with Cam. 509 00:25:55,920 --> 00:25:57,520 Speaker 1: We broke up when I was like twenty one, so 510 00:25:57,720 --> 00:26:00,320 Speaker 1: it's you know, we're over it. But anyway, the plan 511 00:26:00,520 --> 00:26:02,520 Speaker 1: was I was going to live with him because the 512 00:26:02,520 --> 00:26:04,320 Speaker 1: internship I had like paid for my housing, but then 513 00:26:04,359 --> 00:26:06,160 Speaker 1: I didn't have money to pay for after that, so 514 00:26:06,480 --> 00:26:08,440 Speaker 1: I was gonna live with him for two weeks. The 515 00:26:08,520 --> 00:26:10,159 Speaker 1: last two weeks mentorship. Then we're gonna break up and 516 00:26:10,160 --> 00:26:12,480 Speaker 1: I was gonna move to New York. It didn't work 517 00:26:12,520 --> 00:26:14,080 Speaker 1: out because I decided not to go to New York, 518 00:26:14,160 --> 00:26:18,000 Speaker 1: so I just didn't leave. We broke up, So then 519 00:26:18,040 --> 00:26:20,879 Speaker 1: I had zero friends on this entire coast and I 520 00:26:20,920 --> 00:26:22,159 Speaker 1: had to That's what I had to move into the 521 00:26:22,160 --> 00:26:24,160 Speaker 1: shanty where I got all the It was like infested 522 00:26:24,160 --> 00:26:26,120 Speaker 1: with all the things, and I had running water. Only 523 00:26:26,160 --> 00:26:28,919 Speaker 1: sometimes I would go to open mics because I like 524 00:26:29,080 --> 00:26:31,080 Speaker 1: always had kind of had an interest in it. So 525 00:26:31,119 --> 00:26:32,440 Speaker 1: I would just go to open mics and I would 526 00:26:32,440 --> 00:26:34,560 Speaker 1: make jokes about like all the horrible stuff that I 527 00:26:34,600 --> 00:26:37,560 Speaker 1: was dealing with, and because I've always kind of used 528 00:26:37,600 --> 00:26:40,320 Speaker 1: humor to get through hard things, which is why I 529 00:26:40,359 --> 00:26:42,840 Speaker 1: hate cancel culture so much, because I think that humor 530 00:26:42,880 --> 00:26:45,800 Speaker 1: has a unique power of healing, and the last thing 531 00:26:45,840 --> 00:26:47,639 Speaker 1: we should be doing is taking it away from the 532 00:26:47,640 --> 00:26:49,719 Speaker 1: people who needed the most, like the people who are 533 00:26:49,760 --> 00:26:51,920 Speaker 1: going through the toughest things. I will make jokes about 534 00:26:51,920 --> 00:26:54,439 Speaker 1: my mom dying. I will make jokes. So when I was, 535 00:26:54,480 --> 00:26:58,240 Speaker 1: you know, really really like broke, I and and alone, 536 00:26:58,760 --> 00:27:01,000 Speaker 1: I decided to get on age and talk about it 537 00:27:01,040 --> 00:27:04,000 Speaker 1: with punchlines and that's how I really got started doing 538 00:27:04,080 --> 00:27:06,720 Speaker 1: it more. And people can't done it once in Detroit 539 00:27:06,760 --> 00:27:11,320 Speaker 1: before then. Yeah, a lot of people very serious. Now 540 00:27:11,359 --> 00:27:13,800 Speaker 1: here's my final question. Here it out loud with Gianno called, well, 541 00:27:13,800 --> 00:27:16,600 Speaker 1: we have the sworn enemy of PC culture. I think 542 00:27:16,800 --> 00:27:19,760 Speaker 1: taking such stands is so important today because cancel culture 543 00:27:19,760 --> 00:27:21,920 Speaker 1: has obviously caused many public figures to be afraid to 544 00:27:21,960 --> 00:27:25,320 Speaker 1: speak out. How do we combat that and what role 545 00:27:25,440 --> 00:27:28,119 Speaker 1: this comedy play in that? Well, it's up to us, really, 546 00:27:28,280 --> 00:27:31,040 Speaker 1: it's really really up to us. And the thing about 547 00:27:32,119 --> 00:27:35,320 Speaker 1: being a comedian in general is there's really no way 548 00:27:35,320 --> 00:27:37,159 Speaker 1: to know if a joke works or not, especially in 549 00:27:37,200 --> 00:27:39,640 Speaker 1: stand up until you try it on stage. Right, So 550 00:27:40,240 --> 00:27:42,840 Speaker 1: the thing that and I wrote a Nastrollaview article defending 551 00:27:42,920 --> 00:27:46,600 Speaker 1: Dave Chappelle, and I've I've defended many comedians, but this 552 00:27:46,680 --> 00:27:48,040 Speaker 1: one I kind of went more in depth and sort 553 00:27:48,040 --> 00:27:52,520 Speaker 1: of explained, like, you will swing and miss like just 554 00:27:52,600 --> 00:27:54,800 Speaker 1: as much as a baseball player will write, because like, 555 00:27:54,880 --> 00:27:57,120 Speaker 1: not everything's gonna hit and you really don't know until 556 00:27:57,119 --> 00:28:01,439 Speaker 1: you try. And as I mentioned, comedy does have this 557 00:28:01,520 --> 00:28:06,600 Speaker 1: healing power to bring you out of dark times. You 558 00:28:06,720 --> 00:28:10,239 Speaker 1: cannot be like making people afraid who could potentially do that, 559 00:28:10,359 --> 00:28:12,560 Speaker 1: to try to do that and feel And I wrote 560 00:28:12,560 --> 00:28:14,560 Speaker 1: another piece of National about like South Park. I remember 561 00:28:14,720 --> 00:28:16,240 Speaker 1: my mom. She died of Emily doses, but she had 562 00:28:16,240 --> 00:28:19,040 Speaker 1: breast cancer. And I was in college and this episode 563 00:28:19,119 --> 00:28:21,000 Speaker 1: making fun of breast cancer came out the week I 564 00:28:21,040 --> 00:28:23,359 Speaker 1: found out, and I laughed at it, and I felt 565 00:28:23,400 --> 00:28:25,520 Speaker 1: so good to laugh at it, and it made what 566 00:28:25,560 --> 00:28:28,600 Speaker 1: I was going through less scary, because if you say, oh, 567 00:28:28,680 --> 00:28:30,560 Speaker 1: this is too serious to talk about, it gives it 568 00:28:30,600 --> 00:28:33,600 Speaker 1: this untouchable power that makes it even worse. And I 569 00:28:33,600 --> 00:28:36,159 Speaker 1: think that's definitely how it's been in terms of my 570 00:28:36,200 --> 00:28:38,320 Speaker 1: grief of my mom dying. Like I used to get 571 00:28:38,320 --> 00:28:40,840 Speaker 1: really weirded out about it, Like people like say like 572 00:28:40,880 --> 00:28:42,520 Speaker 1: something like what are your parents to it? And I'll 573 00:28:42,520 --> 00:28:43,920 Speaker 1: be like, well my dad, and like what about your mom? 574 00:28:44,120 --> 00:28:47,000 Speaker 1: Like I was just like, well, my mom's dead. And 575 00:28:47,000 --> 00:28:49,040 Speaker 1: then I watched the air get sucked out of the room. 576 00:28:49,040 --> 00:28:51,040 Speaker 1: But I just don't care. I'll say when they say 577 00:28:51,040 --> 00:28:52,680 Speaker 1: I'm sorry, I said, it's okay. You didn't kill her, 578 00:28:52,840 --> 00:28:55,840 Speaker 1: you know, And and and like to make sure you 579 00:28:55,920 --> 00:28:58,680 Speaker 1: live that way and that you also looking at the 580 00:28:58,720 --> 00:29:02,440 Speaker 1: headlines too. You look at headlines like this person said this, 581 00:29:02,760 --> 00:29:05,120 Speaker 1: make sure you're seeing the whole clip, you know, like, 582 00:29:05,200 --> 00:29:07,240 Speaker 1: make sure and then also look at your life and 583 00:29:07,280 --> 00:29:10,120 Speaker 1: be grateful. If you have that much time and emotional 584 00:29:10,160 --> 00:29:14,000 Speaker 1: energy to spend getting like so violently upset and traumatized 585 00:29:14,000 --> 00:29:17,960 Speaker 1: by someone's joke, you are a very blessed person. So 586 00:29:18,120 --> 00:29:22,600 Speaker 1: maybe just stop and say thank you for sure, well, 587 00:29:22,600 --> 00:29:25,160 Speaker 1: thank you, thank you so much kaf spending this time 588 00:29:25,160 --> 00:29:27,360 Speaker 1: with me, and I'm glad we were able to rerecord 589 00:29:27,440 --> 00:29:31,840 Speaker 1: this episode and I'm so excited that folks will get 590 00:29:31,840 --> 00:29:35,360 Speaker 1: a chance to hear this. And uh, certainly you've been 591 00:29:35,400 --> 00:29:37,760 Speaker 1: a blessing and a good friend to me, So thank 592 00:29:37,800 --> 00:29:40,000 Speaker 1: you so much for coming on Allow with Gianno Calra, 593 00:29:40,040 --> 00:29:42,800 Speaker 1: and I certainly appreciate your talk cat tip everyone. Of course, 594 00:29:53,000 --> 00:29:55,360 Speaker 1: thanks to Katherine Tent for a great interview. If you're 595 00:29:55,400 --> 00:29:57,120 Speaker 1: enjoying the show, please leave us a review and rate 596 00:29:57,200 --> 00:29:59,280 Speaker 1: us with five stars on Apple Podcast. If you have 597 00:29:59,360 --> 00:30:01,560 Speaker 1: any questions for me, please email me at out loud 598 00:30:01,560 --> 00:30:03,760 Speaker 1: at ginger Street sixty dot com and I'll try to 599 00:30:03,760 --> 00:30:06,280 Speaker 1: answer them in our future episodes. You can also find 600 00:30:06,320 --> 00:30:09,920 Speaker 1: me on Twitter, Instagram, Facebook, and parlor at Giano Caldwell, 601 00:30:10,320 --> 00:30:12,360 Speaker 1: and if you're interested in learning more about my story, 602 00:30:12,600 --> 00:30:15,040 Speaker 1: please pick up a copy of my bestselling book titled 603 00:30:15,080 --> 00:30:17,880 Speaker 1: How Conservatism Can Win Back to the Americans that Liberalism failed. 604 00:30:17,920 --> 00:30:21,600 Speaker 1: Special thanks to our producer Stephen Calabria, researcher Aaron Kleinman, 605 00:30:21,720 --> 00:30:25,120 Speaker 1: and executive producers Debbie Myers and speaker New Gingrich, all 606 00:30:25,160 --> 00:30:36,000 Speaker 1: part of the Ginger State sixty Network, part of the 607 00:30:36,040 --> 00:30:37,560 Speaker 1: Gainer of Street sixty network