1 00:00:11,657 --> 00:00:14,937 Speaker 1: You're listening to The buck Sexton Show podcast, make sure 2 00:00:14,937 --> 00:00:17,577 Speaker 1: you subscribe to the podcast on the iHeart Radio app 3 00:00:17,857 --> 00:00:21,097 Speaker 1: or wherever you get your podcasts. Hey, everybody, welcome to 4 00:00:21,137 --> 00:00:23,777 Speaker 1: another episode of The buck Sexton Show. Very pleased to 5 00:00:23,857 --> 00:00:28,577 Speaker 1: be joined by first time on this program, Leilani Doubting. 6 00:00:28,777 --> 00:00:32,457 Speaker 1: She is a UK based commentator. You see her on 7 00:00:32,617 --> 00:00:36,697 Speaker 1: gb News. Her Twitter game is fierce. She's also formerly 8 00:00:37,137 --> 00:00:39,897 Speaker 1: from the Real Housewives of Cheshire, which I hope I 9 00:00:39,937 --> 00:00:43,097 Speaker 1: am pronouncing correctly. Leilani, thank you very much for being 10 00:00:43,097 --> 00:00:45,857 Speaker 1: here with us. Appreciated. Thank you for having me on it. 11 00:00:46,497 --> 00:00:52,337 Speaker 1: So I first became aware of your commentary, your punditry 12 00:00:52,697 --> 00:00:55,577 Speaker 1: during COVID when many of us were locked away. I 13 00:00:55,577 --> 00:00:57,297 Speaker 1: don't know where you were in the UK during and 14 00:00:57,377 --> 00:00:59,257 Speaker 1: I was in New York City in Midtown in the 15 00:00:59,257 --> 00:01:04,457 Speaker 1: middle of the abject lunacy. I saw the hospital ship floating, 16 00:01:04,857 --> 00:01:06,857 Speaker 1: floating by my window, literally saw it as it was 17 00:01:06,897 --> 00:01:09,457 Speaker 1: going up the Hudson because I was living in midtown 18 00:01:09,457 --> 00:01:12,377 Speaker 1: Manhattan and everything was, you know, lockdown at the end 19 00:01:12,417 --> 00:01:13,737 Speaker 1: of the world. And then there were some of us 20 00:01:13,817 --> 00:01:16,617 Speaker 1: who were saying, hey, guys, this is a really crazy idea, 21 00:01:16,657 --> 00:01:18,857 Speaker 1: This whole lockdown thing, right, and you were very early 22 00:01:18,937 --> 00:01:21,817 Speaker 1: in that. What's it like now as you look around 23 00:01:21,857 --> 00:01:24,617 Speaker 1: the UK? I wanted to fast forward to the current 24 00:01:25,097 --> 00:01:27,777 Speaker 1: moment when you look around and all these people who 25 00:01:27,817 --> 00:01:30,057 Speaker 1: did all this stuff, are any of them? Sorry? Do 26 00:01:30,097 --> 00:01:31,177 Speaker 1: any of them come up to you and say you 27 00:01:31,217 --> 00:01:34,577 Speaker 1: were right? Like? How is it from your perspective? Yeah, 28 00:01:34,617 --> 00:01:37,417 Speaker 1: this is the craziest thing. No one has ever apologized 29 00:01:37,457 --> 00:01:40,257 Speaker 1: to me and said sorry. And I've lost so many friends. 30 00:01:40,537 --> 00:01:44,257 Speaker 1: I mean literally, I had just moved back actually, at 31 00:01:44,257 --> 00:01:46,857 Speaker 1: the time of lockdown, I had just moved back from 32 00:01:46,897 --> 00:01:49,137 Speaker 1: Los Angeles to England, so I was in the middle 33 00:01:49,137 --> 00:01:51,617 Speaker 1: of the country in Staffordshire. So I had a lot 34 00:01:51,657 --> 00:01:55,617 Speaker 1: of friends in Los Angeles who was seeing my posts 35 00:01:55,737 --> 00:01:59,457 Speaker 1: who were really angry at me. They were so angry 36 00:01:59,497 --> 00:02:03,097 Speaker 1: at me. I've kind of lost touch with them. No 37 00:02:03,097 --> 00:02:06,057 Speaker 1: one's ever reached out and said anything, the UK is 38 00:02:06,137 --> 00:02:08,817 Speaker 1: really free now. I feel like I lost a lot 39 00:02:08,817 --> 00:02:10,937 Speaker 1: of friends, But then I also made a whole bunch 40 00:02:10,977 --> 00:02:14,737 Speaker 1: of new friends. And those are people that didn't want 41 00:02:14,777 --> 00:02:20,217 Speaker 1: to lockdown, refuse to lock down, and kind of very vocal. 42 00:02:20,297 --> 00:02:21,937 Speaker 1: I met them at a lot of the protests that 43 00:02:21,977 --> 00:02:25,537 Speaker 1: were going on and so and forth. And the strange 44 00:02:25,537 --> 00:02:29,017 Speaker 1: thing is is that in the Uki seems very different 45 00:02:29,017 --> 00:02:32,497 Speaker 1: to Los Angeles, and right now everyone just is like, 46 00:02:32,577 --> 00:02:35,857 Speaker 1: we'd never do it again, but yet no one's actually 47 00:02:35,897 --> 00:02:40,257 Speaker 1: apologized for it. It's it's astonishing at what point for 48 00:02:40,337 --> 00:02:43,297 Speaker 1: you was at the beginning, because now here we are 49 00:02:43,377 --> 00:02:46,177 Speaker 1: and it's they just had Karine Jean Pierre. I'm sure 50 00:02:46,177 --> 00:02:48,577 Speaker 1: you see stuff going on with US politics. Karine Jean 51 00:02:48,577 --> 00:02:51,177 Speaker 1: Pierre in the White House was just reminding everybody, hey, 52 00:02:51,177 --> 00:02:53,617 Speaker 1: COVID's not over. And some of us want to just 53 00:02:53,697 --> 00:02:55,337 Speaker 1: jump up and scream. We're like, well, what does that 54 00:02:55,337 --> 00:02:57,297 Speaker 1: even mean? I mean, the common call is also not over. 55 00:02:57,377 --> 00:02:59,897 Speaker 1: The flu is not over. You know, your vaccines don't 56 00:02:59,937 --> 00:03:03,017 Speaker 1: stop the spread, they don't work. What is really you know, 57 00:03:03,017 --> 00:03:04,577 Speaker 1: maybe they work as well as a flu shot and 58 00:03:04,617 --> 00:03:08,857 Speaker 1: a good year, maybe for about two months at best. 59 00:03:09,137 --> 00:03:13,577 Speaker 1: So we're sitting around, Okay, what's really the situation? I remember, 60 00:03:13,897 --> 00:03:16,457 Speaker 1: for me, the hard break with the consensus or the 61 00:03:16,457 --> 00:03:19,017 Speaker 1: apparatus was when all of a sudden, Fauci went from 62 00:03:19,017 --> 00:03:22,417 Speaker 1: masks don't work to on no masks are essential. And 63 00:03:22,457 --> 00:03:26,297 Speaker 1: that was like April of twenty twenty, right, exactly. So 64 00:03:26,377 --> 00:03:30,617 Speaker 1: there was that, and the masks were going on in America, 65 00:03:30,657 --> 00:03:33,137 Speaker 1: I think way before they were in the UK. They 66 00:03:33,177 --> 00:03:37,177 Speaker 1: became mounta Tree in the US a lot sooner. And 67 00:03:37,217 --> 00:03:39,537 Speaker 1: it was all very strange to me. My friend's ninety 68 00:03:39,617 --> 00:03:42,097 Speaker 1: year old grandma who wasn't in a care home, she 69 00:03:42,137 --> 00:03:44,657 Speaker 1: was being looked after her in her own home. She 70 00:03:44,737 --> 00:03:49,937 Speaker 1: had cancer, she has Alzheimer's and she got COVID and 71 00:03:50,057 --> 00:03:53,017 Speaker 1: she got better. And to me, I was like, hold 72 00:03:53,017 --> 00:03:54,977 Speaker 1: on a minute, this is supposed to be the most 73 00:03:55,057 --> 00:03:58,897 Speaker 1: vulnerable and she's got better from it. So what is 74 00:03:58,937 --> 00:04:00,937 Speaker 1: going on? I need to step back from what the 75 00:04:00,977 --> 00:04:03,177 Speaker 1: media were telling me. I need to step back from 76 00:04:03,417 --> 00:04:05,857 Speaker 1: like this death count that we're seeing on the news 77 00:04:05,937 --> 00:04:07,937 Speaker 1: every day, and I need to look at what's going 78 00:04:07,977 --> 00:04:12,017 Speaker 1: on around me and to see a lot of vulnerable 79 00:04:12,057 --> 00:04:14,857 Speaker 1: people that I knew, or people that would be in 80 00:04:14,857 --> 00:04:18,377 Speaker 1: that kind of category, get COVID and be better. In 81 00:04:18,417 --> 00:04:23,977 Speaker 1: addition to no advice on being getting healthy, doing everything 82 00:04:24,177 --> 00:04:27,017 Speaker 1: kind of opposite to what a normal healthy person would do, 83 00:04:27,057 --> 00:04:28,937 Speaker 1: Like you know, in the UK, they were saying we 84 00:04:28,937 --> 00:04:31,457 Speaker 1: could only leave the house for an hour a day, right, 85 00:04:31,457 --> 00:04:33,417 Speaker 1: that makes no sense to me. How do you get 86 00:04:33,457 --> 00:04:36,537 Speaker 1: your vitamin D, how do you get like sunshine, fresh air? 87 00:04:36,817 --> 00:04:39,097 Speaker 1: Like you need all of that right to be a 88 00:04:39,097 --> 00:04:42,817 Speaker 1: healthy person. So it was all very very counterintuitive to me, 89 00:04:42,897 --> 00:04:45,897 Speaker 1: and I was like, hold on. And in addition to that, 90 00:04:45,937 --> 00:04:49,337 Speaker 1: I was watching and I always have watched alternative doctors, 91 00:04:49,737 --> 00:04:54,937 Speaker 1: so like doctor Basha Batar sorry, and then oh doctor 92 00:04:55,137 --> 00:04:57,817 Speaker 1: is it doctor Shiva? I was watching right at the start, 93 00:04:58,337 --> 00:05:00,777 Speaker 1: so I was seeing these other people have a different 94 00:05:00,857 --> 00:05:03,537 Speaker 1: view and kind of saying like when you when there's 95 00:05:03,737 --> 00:05:07,137 Speaker 1: viruses around, you need to take these vitamins or these 96 00:05:07,417 --> 00:05:10,857 Speaker 1: And then obviously vitamins and minerals were then an spiracy theory, 97 00:05:10,897 --> 00:05:13,937 Speaker 1: and you were like some far right conspiracy theorist if 98 00:05:13,977 --> 00:05:17,057 Speaker 1: you thought that taking supplements would ever be good for 99 00:05:17,097 --> 00:05:19,577 Speaker 1: your health and a fresh air and sunlight or any 100 00:05:19,617 --> 00:05:21,657 Speaker 1: of these things were good for you. And so we 101 00:05:21,777 --> 00:05:24,497 Speaker 1: all just none of it made sense. It all just 102 00:05:24,617 --> 00:05:27,017 Speaker 1: made zero sense at all to me. And that's kind 103 00:05:27,017 --> 00:05:29,977 Speaker 1: of when I said, let's hold on a minute. You know, 104 00:05:30,097 --> 00:05:32,497 Speaker 1: what is what is going on here? Did you have 105 00:05:32,577 --> 00:05:37,377 Speaker 1: the same level of craziness with you in the US 106 00:05:37,457 --> 00:05:39,697 Speaker 1: we had. I remember it was the playground that was 107 00:05:39,777 --> 00:05:41,817 Speaker 1: right near my house. You know, the park had some 108 00:05:41,857 --> 00:05:45,497 Speaker 1: sports field things like that, they padlocked it. They pulled 109 00:05:45,537 --> 00:05:49,217 Speaker 1: the rims off of basketball courts so that nobody could 110 00:05:49,297 --> 00:05:52,257 Speaker 1: go out and shoot hoops by themselves or in a group. 111 00:05:52,857 --> 00:05:56,817 Speaker 1: They created little circles in the ground and told people 112 00:05:56,897 --> 00:05:58,537 Speaker 1: if you go to the park, if we happen to 113 00:05:58,577 --> 00:06:00,817 Speaker 1: have a park that's open at some point, this is 114 00:06:00,857 --> 00:06:03,377 Speaker 1: where you have to sit for social distancing. We had 115 00:06:03,417 --> 00:06:07,537 Speaker 1: little foot pedals in elevators where you were in an elevator, right, 116 00:06:07,537 --> 00:06:09,577 Speaker 1: so this would be like foot pedals in a telephone 117 00:06:09,617 --> 00:06:13,017 Speaker 1: booth because you know, it's not like there's a lot 118 00:06:13,057 --> 00:06:15,537 Speaker 1: of room, you know, And did you have all of 119 00:06:15,537 --> 00:06:17,817 Speaker 1: that stuff too, I mean, I'm just wondering. Obviously I 120 00:06:17,857 --> 00:06:20,217 Speaker 1: couldn't travel during COVID, so I couldn't see how it 121 00:06:20,377 --> 00:06:22,817 Speaker 1: was elsewhere. But in New York it was you did 122 00:06:22,857 --> 00:06:26,937 Speaker 1: have that. Yeah, we did. So we had arrows in supermarkets, 123 00:06:26,977 --> 00:06:28,817 Speaker 1: so you had to go a certain way around the 124 00:06:28,817 --> 00:06:33,377 Speaker 1: aisles so that you were never going in the opposite direction. 125 00:06:34,257 --> 00:06:38,697 Speaker 1: The playgrounds were all fenced off, even park benches, so 126 00:06:38,817 --> 00:06:42,177 Speaker 1: there was a weird rule that you could go for 127 00:06:42,217 --> 00:06:45,217 Speaker 1: a walk, but you weren't allowed to sit down with 128 00:06:45,817 --> 00:06:48,057 Speaker 1: a friend or anybody. You weren't allowed to sit down 129 00:06:48,057 --> 00:06:50,977 Speaker 1: on a park bench, and you weren't allowed to take 130 00:06:51,817 --> 00:06:54,297 Speaker 1: say a coffee with you or a cup of tea 131 00:06:54,377 --> 00:06:56,417 Speaker 1: because that even though it was cold, it was like 132 00:06:56,497 --> 00:06:58,697 Speaker 1: freezing cold. You weren't allowed to take a coffee or 133 00:06:58,737 --> 00:07:00,977 Speaker 1: a cup of tea because that would class as a picnic. 134 00:07:01,217 --> 00:07:03,097 Speaker 1: And you weren't allowed to have picnics. You could only 135 00:07:03,137 --> 00:07:06,337 Speaker 1: have exercise walks. So this is how stupid it got. 136 00:07:06,377 --> 00:07:08,897 Speaker 1: And I laughed now because I just at the time, 137 00:07:08,977 --> 00:07:14,617 Speaker 1: I was so like, physically it wasn't COVID that was 138 00:07:14,657 --> 00:07:18,777 Speaker 1: what scaring me. It was the controls that was scaring me. 139 00:07:18,897 --> 00:07:22,497 Speaker 1: And I got physically ill from it, and I felt anxiety. 140 00:07:23,497 --> 00:07:27,817 Speaker 1: Um it was it was. It was a physical feeling 141 00:07:27,857 --> 00:07:32,737 Speaker 1: that I felt right from, like this authority just closing 142 00:07:32,777 --> 00:07:40,097 Speaker 1: in on us. And and I want, I want to 143 00:07:40,097 --> 00:07:42,417 Speaker 1: ask you how much of this do you think ties 144 00:07:42,457 --> 00:07:45,257 Speaker 1: into you know, in the US A lot of the 145 00:07:45,257 --> 00:07:49,137 Speaker 1: time when we debate healthcare in any respect, people on 146 00:07:49,177 --> 00:07:51,097 Speaker 1: the left here will say, well, we should just have 147 00:07:51,217 --> 00:07:53,977 Speaker 1: what the what the British have with the National Health 148 00:07:54,017 --> 00:07:56,697 Speaker 1: Service because everything is free and it's amazing and that's 149 00:07:56,737 --> 00:08:00,617 Speaker 1: the line, and my understanding is one that's not particularly true. 150 00:08:00,657 --> 00:08:03,377 Speaker 1: But also, how much of of of the lockdown do 151 00:08:03,417 --> 00:08:06,937 Speaker 1: you think was pushed by or possible? Because your government 152 00:08:06,937 --> 00:08:09,457 Speaker 1: and healthcare service ours are very much intertwined, more than 153 00:08:09,457 --> 00:08:11,777 Speaker 1: people realize, but yours are one and the same. I mean, 154 00:08:11,857 --> 00:08:14,337 Speaker 1: the government is the NHS and the NHS is the government, 155 00:08:14,417 --> 00:08:18,097 Speaker 1: right right, And so it was persh And then we 156 00:08:18,177 --> 00:08:20,377 Speaker 1: had this thing where at eight pm on a Thursday night, 157 00:08:20,377 --> 00:08:23,297 Speaker 1: people would come out and they would clap for the NHS. Meanwhile, 158 00:08:23,697 --> 00:08:28,177 Speaker 1: the NHS doctors and nurses we're making TikTok videos. You know, 159 00:08:28,217 --> 00:08:30,417 Speaker 1: they were supposed to be overrun in the hospitals and 160 00:08:30,577 --> 00:08:32,497 Speaker 1: so busy, but they had time to make all these 161 00:08:32,537 --> 00:08:36,377 Speaker 1: like TikTok videos and these dances, and people would couses 162 00:08:36,377 --> 00:08:41,497 Speaker 1: and clap for them. And meanwhile they were stopping cancer 163 00:08:41,577 --> 00:08:44,657 Speaker 1: patients from getting their treatments. They were people were too 164 00:08:44,697 --> 00:08:47,417 Speaker 1: afraid to go into the hospitals because of all the 165 00:08:47,537 --> 00:08:51,577 Speaker 1: fear being pumped out. So but having lived in both countries, 166 00:08:51,657 --> 00:08:57,337 Speaker 1: I would say, obviously, private healthcare it's going to be 167 00:08:57,337 --> 00:08:59,537 Speaker 1: a lot better than the NHS. Like the waiting list 168 00:08:59,657 --> 00:09:02,897 Speaker 1: here are crazy what happens if I want to get 169 00:09:02,897 --> 00:09:04,337 Speaker 1: in if i want to get knee surgery, and I'm 170 00:09:04,337 --> 00:09:06,657 Speaker 1: living in the UK, I'm just like an everyday guy. 171 00:09:06,737 --> 00:09:08,977 Speaker 1: I need to get knee surgery. What's that? Like? How 172 00:09:08,977 --> 00:09:12,417 Speaker 1: long do I wait? Well? Okay, So first of all, 173 00:09:12,457 --> 00:09:14,657 Speaker 1: you need to try and get a doctor's appointment, right, 174 00:09:14,697 --> 00:09:18,337 Speaker 1: and even now it's so impossible. There's like so many backlogs. 175 00:09:18,577 --> 00:09:20,737 Speaker 1: You have to call up at say nine o'clock in 176 00:09:20,737 --> 00:09:23,377 Speaker 1: the morning or eight o'clock in the morning, stay in 177 00:09:23,417 --> 00:09:26,257 Speaker 1: line to try and get an appointment over the phone 178 00:09:26,257 --> 00:09:29,177 Speaker 1: because a lot of doctors still won't even see you, right, 179 00:09:29,217 --> 00:09:32,337 Speaker 1: This is the craziest thing. Yeah, and then there's and 180 00:09:32,737 --> 00:09:36,017 Speaker 1: then you know, and then people can't get their appointments. 181 00:09:36,017 --> 00:09:38,617 Speaker 1: So what they then do is they go into emergency care. 182 00:09:39,177 --> 00:09:41,857 Speaker 1: So like you know, your eer, people will go into 183 00:09:41,857 --> 00:09:44,857 Speaker 1: the emergency care because they're not feeling well. So then 184 00:09:44,897 --> 00:09:49,817 Speaker 1: that's overrun, right, So then they've also sacked I think 185 00:09:49,857 --> 00:09:54,137 Speaker 1: they've sacked forty thousand care workers, so not necessarily nurses 186 00:09:54,137 --> 00:09:57,257 Speaker 1: and doctors, but the care workers that care for people 187 00:09:57,737 --> 00:10:03,017 Speaker 1: want they leave hospital, which is then bedlock bedlock the beds, 188 00:10:03,057 --> 00:10:05,897 Speaker 1: so they're filled with people that could go back to 189 00:10:05,937 --> 00:10:08,137 Speaker 1: their house but can't. And this is because of the 190 00:10:08,217 --> 00:10:11,377 Speaker 1: vaccine mandates, right, And that was the only sector actually 191 00:10:11,417 --> 00:10:14,937 Speaker 1: the did vaccine mandates because there were so many protests 192 00:10:14,937 --> 00:10:17,817 Speaker 1: in the UK that they never got round to actually 193 00:10:18,177 --> 00:10:20,977 Speaker 1: mandating it for doctors and nurses. So it is a mess. 194 00:10:21,297 --> 00:10:24,097 Speaker 1: But the one thing about the UK, unlike Canada, is 195 00:10:24,097 --> 00:10:27,377 Speaker 1: you can get private healthcare as well if you want to, 196 00:10:27,657 --> 00:10:30,377 Speaker 1: which you know a lot of people do. So I 197 00:10:30,417 --> 00:10:32,617 Speaker 1: want to ask you about where it all stands now 198 00:10:32,817 --> 00:10:34,617 Speaker 1: because you started to get into that, like how is 199 00:10:34,657 --> 00:10:38,257 Speaker 1: the situation when it comes to COVID in the UK. 200 00:10:38,337 --> 00:10:40,657 Speaker 1: I mean here it felt like we were almost about 201 00:10:40,657 --> 00:10:42,457 Speaker 1: to get masks back on planes again and then they 202 00:10:42,537 --> 00:10:44,737 Speaker 1: backed off of it. But we know it always it's 203 00:10:44,737 --> 00:10:47,777 Speaker 1: always in the back background because these people are lunatics. 204 00:10:48,017 --> 00:10:50,017 Speaker 1: But something else aline it's very important for your health 205 00:10:50,057 --> 00:10:51,697 Speaker 1: is a good night's sleep, and you've got to have 206 00:10:51,737 --> 00:10:54,657 Speaker 1: excellent pillows and sheets to achieve that. 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By the way, and back to health, Leilani, 225 00:11:45,217 --> 00:11:46,817 Speaker 1: what's going on over there now? Do you guys still 226 00:11:46,857 --> 00:11:48,977 Speaker 1: you know Novac joke? Bitch? You and I are both 227 00:11:49,217 --> 00:11:51,177 Speaker 1: been watching the tennis. I saw you tweeting about it. 228 00:11:51,937 --> 00:11:54,297 Speaker 1: I'm a rafa guy personally. A tennis is one of 229 00:11:54,297 --> 00:11:56,177 Speaker 1: the few sports you know, my co hosts on radio 230 00:11:56,337 --> 00:11:58,497 Speaker 1: loves like all professional sports, tennis is one of the 231 00:11:58,537 --> 00:12:01,137 Speaker 1: only ones I panny attention to. I love Rafa Nadal, 232 00:12:01,697 --> 00:12:03,617 Speaker 1: but I do think that maybe Djokovic is just gonna 233 00:12:03,617 --> 00:12:06,017 Speaker 1: have to be crowned the greatest of all time. He 234 00:12:06,137 --> 00:12:08,497 Speaker 1: may win all three majors this year leading into the 235 00:12:08,577 --> 00:12:13,737 Speaker 1: US Open. He's still cannot actually attend the US Open 236 00:12:13,817 --> 00:12:16,537 Speaker 1: because he has not been vaccinated and the US requires 237 00:12:16,577 --> 00:12:19,937 Speaker 1: non citizens to be vaccinated before they come in. How 238 00:12:19,977 --> 00:12:22,417 Speaker 1: crazy and stupid can things get before they have to relent? 239 00:12:22,497 --> 00:12:25,497 Speaker 1: What do you think? I don't know. I have no 240 00:12:25,577 --> 00:12:28,577 Speaker 1: idea what Biden's thinking, Oh the administration. I have no 241 00:12:28,697 --> 00:12:31,657 Speaker 1: clue what is going on, and it blows my mind. Luckily, 242 00:12:31,697 --> 00:12:33,377 Speaker 1: I'm a dual citizen, so if I want to go 243 00:12:33,417 --> 00:12:36,657 Speaker 1: back to America, I can. But to think that so 244 00:12:36,697 --> 00:12:39,097 Speaker 1: many of my friends can't, and a lot of them 245 00:12:39,657 --> 00:12:42,577 Speaker 1: can't leave Los Angeles because they can't get back in. 246 00:12:42,697 --> 00:12:44,857 Speaker 1: They can't, you know, they can't go home and see 247 00:12:44,857 --> 00:12:47,297 Speaker 1: their parents. They haven't seen their families in you know, 248 00:12:47,457 --> 00:12:50,777 Speaker 1: three years. A lot of my makes pat phones out there. 249 00:12:50,777 --> 00:12:55,697 Speaker 1: They can't get back into the country. So it's it's 250 00:12:55,777 --> 00:12:58,177 Speaker 1: so insane to me, and to think that this is 251 00:12:58,217 --> 00:13:01,297 Speaker 1: all supposed to be about health. You know, this is 252 00:13:01,337 --> 00:13:04,497 Speaker 1: like the fittest guy on the planet and probably and 253 00:13:04,537 --> 00:13:08,737 Speaker 1: he can't get into America. It's it's madness. But here, 254 00:13:09,017 --> 00:13:12,577 Speaker 1: like I said, so tell me, tell me what's going 255 00:13:12,577 --> 00:13:14,337 Speaker 1: on in the UK with regard to these policies. Do 256 00:13:14,377 --> 00:13:19,337 Speaker 1: they still have some lingering COVID lunacy? So there's no mandates. 257 00:13:19,657 --> 00:13:23,137 Speaker 1: They actually never got round to doing vaccine mandates for 258 00:13:23,257 --> 00:13:26,937 Speaker 1: any jobs other than the care the care workers because 259 00:13:26,937 --> 00:13:28,977 Speaker 1: of all the protests that went on, because there would 260 00:13:29,017 --> 00:13:31,977 Speaker 1: have been massive strikes in the NHS and all sorts, 261 00:13:32,017 --> 00:13:35,417 Speaker 1: and as I said, the NHS is like really overloaded, 262 00:13:37,537 --> 00:13:40,777 Speaker 1: so they didn't do that. You do see some people 263 00:13:40,897 --> 00:13:44,417 Speaker 1: still wandering around in masks, and it blows my mind. 264 00:13:44,497 --> 00:13:48,497 Speaker 1: And usually they're kind of very unhealthy looking people, and 265 00:13:48,617 --> 00:13:50,817 Speaker 1: I think to myself, God, you know, you've had three 266 00:13:50,897 --> 00:13:53,577 Speaker 1: years to take care of your health, but you choose 267 00:13:53,617 --> 00:13:57,777 Speaker 1: a mask instead. But a lot is coming out in 268 00:13:57,817 --> 00:14:01,777 Speaker 1: the newspapers as well. Just today it's been announced that 269 00:14:01,817 --> 00:14:05,857 Speaker 1: apparently they had sections of the army actually looking at 270 00:14:05,937 --> 00:14:12,097 Speaker 1: the social media of people they considered lockdown skeptic or antibaxes. 271 00:14:13,137 --> 00:14:15,497 Speaker 1: So you know, like kind of the Twitter files, how 272 00:14:15,537 --> 00:14:19,937 Speaker 1: your government was involved. Our army is being said to 273 00:14:20,017 --> 00:14:23,657 Speaker 1: be involved, so obviously that's the government, the seventy seventh 274 00:14:23,657 --> 00:14:30,457 Speaker 1: Brigades fighting disinformation. So this is astonishing. So your military 275 00:14:30,497 --> 00:14:36,417 Speaker 1: intelligence in the UK was looking at COVID dissidents as 276 00:14:36,457 --> 00:14:40,057 Speaker 1: a possible I assume health and therefore safety threat. And 277 00:14:40,257 --> 00:14:43,857 Speaker 1: wasn't Peter Hitchins, the brother of the late Christian Hitchins, 278 00:14:43,937 --> 00:14:48,097 Speaker 1: on that list. Yes, yes he was, Yeah, he was, 279 00:14:48,137 --> 00:14:50,777 Speaker 1: which is weird because he writes for the Daily Mail. 280 00:14:51,737 --> 00:14:54,257 Speaker 1: And I actually had a really bad hit piece done 281 00:14:54,257 --> 00:14:57,537 Speaker 1: on me by the Daily Mail, and a journalist called 282 00:14:57,537 --> 00:15:00,377 Speaker 1: me up and she asked me my thoughts on Jock 283 00:15:00,457 --> 00:15:02,777 Speaker 1: Fitch when this was like a year ago, right when 284 00:15:02,777 --> 00:15:05,017 Speaker 1: he wasn't going to be allowed into Australia or he 285 00:15:05,057 --> 00:15:07,897 Speaker 1: was going to be deported, and I think the word 286 00:15:07,937 --> 00:15:11,017 Speaker 1: refuse nick was going round, so I called myself a 287 00:15:11,057 --> 00:15:14,377 Speaker 1: proud refuse nick and she asked me about it. That night, 288 00:15:15,137 --> 00:15:18,257 Speaker 1: my Instagram got taken down, which is probably where you 289 00:15:18,297 --> 00:15:22,017 Speaker 1: saw me because prior to it being taken down, I 290 00:15:22,177 --> 00:15:26,297 Speaker 1: was mainly on Instagram and not Twitter. But yeah, the 291 00:15:26,417 --> 00:15:29,377 Speaker 1: night that she called me for a quote, my Instagram 292 00:15:29,417 --> 00:15:32,017 Speaker 1: went down, So I think there were journalists kind of 293 00:15:32,137 --> 00:15:38,897 Speaker 1: ratting out people as well. So yeah, it's amazing. They're 294 00:15:38,937 --> 00:15:41,537 Speaker 1: supposed to be standing athwart the power of the state 295 00:15:41,657 --> 00:15:44,137 Speaker 1: and standing on the side of the people against concentrations 296 00:15:44,177 --> 00:15:47,777 Speaker 1: of power. We saw throughout COVID in all Western societies 297 00:15:48,137 --> 00:15:52,097 Speaker 1: the exact opposite of that that the journalistic enterprise, journalistic 298 00:15:52,257 --> 00:15:56,137 Speaker 1: apparatus was used entirely as really with a few exceptions, 299 00:15:56,177 --> 00:15:59,897 Speaker 1: but as an enforcement mechanism. And I mean I've had 300 00:15:59,937 --> 00:16:02,417 Speaker 1: I had hit pieces written on me too about things 301 00:16:02,457 --> 00:16:04,337 Speaker 1: like I actually had a hit piece written on me 302 00:16:04,377 --> 00:16:07,857 Speaker 1: by a political fact checking organization because I said that 303 00:16:07,937 --> 00:16:10,897 Speaker 1: masks outside outside or I mean side as ridiculous too, 304 00:16:10,977 --> 00:16:13,537 Speaker 1: but outside you're completely out of your mind. They're like, no, 305 00:16:13,737 --> 00:16:16,017 Speaker 1: they're still dispute about this. It's not true to say that. 306 00:16:16,417 --> 00:16:18,177 Speaker 1: And what's amazing because no one ever goes back and 307 00:16:18,297 --> 00:16:20,257 Speaker 1: changes or corrects any of this, So it really does 308 00:16:20,337 --> 00:16:23,977 Speaker 1: have kind of a Soviet feel. I mean the Daily Mail. Wait, 309 00:16:24,057 --> 00:16:26,137 Speaker 1: the Daily Mail came out, I would assume the Guardian 310 00:16:26,177 --> 00:16:27,977 Speaker 1: would come after you, but I expect more from the 311 00:16:28,057 --> 00:16:31,137 Speaker 1: Daily Mail. Yeah, no, it was the Daily Mail, the 312 00:16:31,217 --> 00:16:33,297 Speaker 1: Mail on Sunday, which is part of the Daily Mail. 313 00:16:33,417 --> 00:16:36,417 Speaker 1: But yeah, no, I think they did it about a 314 00:16:36,497 --> 00:16:39,137 Speaker 1: few people. Actually it was the people on social media 315 00:16:39,697 --> 00:16:45,417 Speaker 1: have a presence that apparently we're causing vaccine hesitancy and 316 00:16:45,737 --> 00:16:51,377 Speaker 1: we're causing people to die. Basically how the article went, yeah, 317 00:16:51,497 --> 00:16:54,057 Speaker 1: you were killing grandma. It turns out I over here 318 00:16:54,097 --> 00:16:56,097 Speaker 1: in the US was killing grandma as well when I 319 00:16:56,177 --> 00:16:59,377 Speaker 1: was pointing out that telling people to stay home for 320 00:16:59,537 --> 00:17:01,537 Speaker 1: a finite period of time before they have to go 321 00:17:01,657 --> 00:17:05,097 Speaker 1: back to some semblance of normal life, and also only 322 00:17:05,177 --> 00:17:08,057 Speaker 1: telling about thirty percent of people who work that they 323 00:17:08,057 --> 00:17:10,857 Speaker 1: should stay home while everybody else is essential, so they 324 00:17:10,977 --> 00:17:14,137 Speaker 1: keep going to work and getting sick and spreading the virus. Anyway, 325 00:17:14,417 --> 00:17:17,537 Speaker 1: this was an idea that was beyond lunacy. And what 326 00:17:17,697 --> 00:17:20,377 Speaker 1: one thing that I find has been troubling Leilate is 327 00:17:20,417 --> 00:17:24,017 Speaker 1: that they were wrong about everything. And yet I feel 328 00:17:24,057 --> 00:17:26,817 Speaker 1: like everybody who pushed the stuff, they act like everything's fine, 329 00:17:27,057 --> 00:17:29,457 Speaker 1: like they got it right and we just move forward. 330 00:17:29,697 --> 00:17:31,977 Speaker 1: And I'm seeing here, I'm still pissed off. I have 331 00:17:32,097 --> 00:17:35,257 Speaker 1: not let this go at all. Maybe that's no, I 332 00:17:35,417 --> 00:17:38,017 Speaker 1: agree with you. I mean when you see people like, 333 00:17:38,337 --> 00:17:39,897 Speaker 1: you know, I don't know if you know who Pierce 334 00:17:39,977 --> 00:17:45,577 Speaker 1: Morgan is out, Yeah, viewers right, so he was their 335 00:17:45,697 --> 00:17:48,577 Speaker 1: trial that came out his mouth like he was an 336 00:17:48,697 --> 00:17:53,137 Speaker 1: establishment mask foucy guy, wasn't he. I'm sure Piers just 337 00:17:54,017 --> 00:17:57,537 Speaker 1: evil and he just went, well, you know, when the 338 00:17:57,657 --> 00:18:01,737 Speaker 1: facts changed, my opinion changed, as though I was like, 339 00:18:01,857 --> 00:18:05,697 Speaker 1: hold on a minute, Pierce. Facts don't change. Opinions always change. 340 00:18:05,817 --> 00:18:08,777 Speaker 1: Science changes. That's the whole thing. Like you know all 341 00:18:08,857 --> 00:18:12,617 Speaker 1: these people that say I trust the science. Science is evolving. 342 00:18:12,737 --> 00:18:16,617 Speaker 1: It's not like mathematics where it's set right. So it's 343 00:18:16,697 --> 00:18:19,577 Speaker 1: like what Piers Morgan says, when the facts change. No, 344 00:18:20,097 --> 00:18:22,857 Speaker 1: facts are facts. Facts don't change. You just never had 345 00:18:22,897 --> 00:18:25,017 Speaker 1: the facts right and you weren't prepared to listen to 346 00:18:25,137 --> 00:18:27,897 Speaker 1: the facts. And that's the thing. And it's all coming out. 347 00:18:27,977 --> 00:18:30,097 Speaker 1: It's kind of like it's it's change because it's all 348 00:18:30,217 --> 00:18:35,177 Speaker 1: dripping out in little bits. And I don't know whether 349 00:18:35,657 --> 00:18:39,337 Speaker 1: that's because they have to do it that way, because 350 00:18:39,377 --> 00:18:42,137 Speaker 1: if everyone finds out that if the people that you 351 00:18:42,217 --> 00:18:46,577 Speaker 1: know believed what the mainstream were saying and believed what 352 00:18:46,657 --> 00:18:50,137 Speaker 1: our politicians were saying, if they've found out the lies 353 00:18:50,337 --> 00:18:52,617 Speaker 1: that went on all at once, I don't know what 354 00:18:52,697 --> 00:18:54,937 Speaker 1: would happen. You know, it would just be so explosive 355 00:18:55,057 --> 00:18:57,297 Speaker 1: that I think they have to like just drip feed 356 00:18:57,377 --> 00:18:59,817 Speaker 1: out these little bits and bobs. I have said that 357 00:18:59,937 --> 00:19:02,777 Speaker 1: to friends, by the way that I am. One argument 358 00:19:02,897 --> 00:19:06,377 Speaker 1: that I don't think is I think it's partially correct. 359 00:19:07,097 --> 00:19:12,137 Speaker 1: Is that a full accounting for how wrong the CDC 360 00:19:12,657 --> 00:19:16,897 Speaker 1: and how honestly useless and even counterproductive. It was the 361 00:19:17,017 --> 00:19:19,257 Speaker 1: only argument I could have or I can listen to 362 00:19:19,497 --> 00:19:22,537 Speaker 1: against basically tear it down to the studs and it's 363 00:19:22,577 --> 00:19:26,417 Speaker 1: a complete disaster. Is you know the CDC does you know, 364 00:19:26,577 --> 00:19:31,177 Speaker 1: provide funding for some you know, for you know, HIV research, 365 00:19:31,297 --> 00:19:33,977 Speaker 1: and it does things that that are are worthwhile and 366 00:19:34,097 --> 00:19:37,577 Speaker 1: when it tells people to uh, you know that there's 367 00:19:37,617 --> 00:19:39,897 Speaker 1: some health aspects that it shares, not very many, but 368 00:19:40,057 --> 00:19:42,657 Speaker 1: that are good. Basically, what I'm saying is I worry 369 00:19:42,657 --> 00:19:45,617 Speaker 1: that people won't believe the CDC now on almost anything right. 370 00:19:45,657 --> 00:19:47,897 Speaker 1: I mean, that's the only argument against doing a full 371 00:19:47,937 --> 00:19:50,657 Speaker 1: breakdown of everything that got wrong is then people won't 372 00:19:50,697 --> 00:19:52,777 Speaker 1: listen to them about anything, including some of the things 373 00:19:52,817 --> 00:19:55,217 Speaker 1: that they say are are true. I don't know if 374 00:19:55,257 --> 00:19:57,257 Speaker 1: that's a feeling you have in the UK too, But 375 00:19:57,417 --> 00:20:00,257 Speaker 1: because the CDC here was an an abject disaster, I 376 00:20:00,337 --> 00:20:03,377 Speaker 1: mean absolutely, the Centers for Disease Control got everything wrong, 377 00:20:03,537 --> 00:20:07,937 Speaker 1: especially the vaccine stuff. And that's the funny thing, isn't it. 378 00:20:08,017 --> 00:20:11,857 Speaker 1: It's like people. I think they depend on people forgetting 379 00:20:12,017 --> 00:20:15,057 Speaker 1: and the short memory people have. So you know, it 380 00:20:15,257 --> 00:20:20,217 Speaker 1: was within like six months of Biden saying literally Biden 381 00:20:20,377 --> 00:20:25,457 Speaker 1: said this will stop the spread. It will stop the spread, 382 00:20:25,537 --> 00:20:28,217 Speaker 1: Rachel Matter was saying, the virus will stop here. That's it. 383 00:20:28,337 --> 00:20:31,377 Speaker 1: Take the vaccine, the virus stops. Then next thing, like 384 00:20:31,457 --> 00:20:33,857 Speaker 1: six months later, it's like, no one said it stops 385 00:20:33,897 --> 00:20:36,977 Speaker 1: the virus. It just makes your symptoms less. It's like, no, 386 00:20:37,257 --> 00:20:39,817 Speaker 1: wait a minute, But they did say that, and they 387 00:20:39,977 --> 00:20:41,617 Speaker 1: kind of said that was going to be our only 388 00:20:41,817 --> 00:20:46,297 Speaker 1: way out of lockdown. And so they depend on people 389 00:20:46,457 --> 00:20:49,017 Speaker 1: forgetting a lot of it, and you know, forgetting their 390 00:20:49,057 --> 00:20:52,097 Speaker 1: anger as well that they had. Yeah, I think and 391 00:20:52,217 --> 00:20:54,937 Speaker 1: I think you're right, and I think you're right as well. 392 00:20:55,017 --> 00:20:58,257 Speaker 1: I think that it will make people really skeptical. I 393 00:20:58,297 --> 00:21:00,897 Speaker 1: mean there's people now that are going to be skeptical 394 00:21:01,017 --> 00:21:04,097 Speaker 1: of the old fashioned vaccines, not the mRNA vaccines. There 395 00:21:04,097 --> 00:21:05,857 Speaker 1: are people that are going to be skeptical of all 396 00:21:05,977 --> 00:21:09,937 Speaker 1: vaccines now because they pushed this one so hard. There's 397 00:21:09,937 --> 00:21:12,137 Speaker 1: going to be people that are going to be very, 398 00:21:12,257 --> 00:21:17,217 Speaker 1: very skeptical of big farm and probably you know rightly 399 00:21:17,337 --> 00:21:20,137 Speaker 1: so to some extent that they don't believe everything that 400 00:21:20,217 --> 00:21:23,497 Speaker 1: they get told in the future. Yes, I think the 401 00:21:23,857 --> 00:21:27,937 Speaker 1: medical establishment also is suffering from and this is really 402 00:21:27,977 --> 00:21:30,177 Speaker 1: I think a bigger problem than even the CDC or 403 00:21:30,257 --> 00:21:32,977 Speaker 1: what you'd see with the NIH and the credibility of 404 00:21:33,017 --> 00:21:36,337 Speaker 1: the entity that the medical field is in a point 405 00:21:36,417 --> 00:21:39,817 Speaker 1: now where I think out of either habit or hubris. 406 00:21:40,177 --> 00:21:42,937 Speaker 1: I don't really know what the mentality is. It's pushing it. 407 00:21:43,937 --> 00:21:47,057 Speaker 1: Doctor's office is, for example, in New York City, where 408 00:21:47,097 --> 00:21:48,617 Speaker 1: I spend a lot of my time and where I'm from, 409 00:21:48,657 --> 00:21:51,497 Speaker 1: originally they require you to wear a mask. Still, you 410 00:21:51,577 --> 00:21:53,337 Speaker 1: can't go into any doctor's office in New York City 411 00:21:53,337 --> 00:21:55,697 Speaker 1: without a mask on our. Same thing with hospitals. And 412 00:21:55,777 --> 00:21:58,817 Speaker 1: I'm sitting here saying, guys, this was all crap, right, 413 00:21:58,897 --> 00:22:01,657 Speaker 1: you know this, And apparently they don't or they're unwilling 414 00:22:01,737 --> 00:22:05,057 Speaker 1: to admit it's it makes no sense. And it's a 415 00:22:05,137 --> 00:22:07,377 Speaker 1: year round rule too. It's not even like a seasonal 416 00:22:07,857 --> 00:22:10,297 Speaker 1: flu covid thing. They're just like, no masks, we all mask. 417 00:22:10,417 --> 00:22:14,857 Speaker 1: Now that's what health means. Are you sick? Yes, they're 418 00:22:14,937 --> 00:22:17,297 Speaker 1: so shocking to me because, like you said, going back 419 00:22:17,377 --> 00:22:21,777 Speaker 1: to India, now, I feel like people, although they won't apologize, 420 00:22:22,537 --> 00:22:28,417 Speaker 1: they see that it's complete enough to madness. And so yeah, 421 00:22:28,497 --> 00:22:32,057 Speaker 1: it's rare that you see anybody in a mask anymore. Yeah, 422 00:22:32,137 --> 00:22:35,177 Speaker 1: I feel like in America it got very political. It 423 00:22:35,417 --> 00:22:39,617 Speaker 1: was like it was so political. It was a sign 424 00:22:39,657 --> 00:22:43,057 Speaker 1: of who your affiliation was with politically by wearing one 425 00:22:43,137 --> 00:22:46,617 Speaker 1: or not. It was so it was so strange. Yeah, 426 00:22:46,657 --> 00:22:49,377 Speaker 1: did your devotion in America to the mask? I mean, 427 00:22:49,457 --> 00:22:51,577 Speaker 1: first of all, there were people who literally were wearing 428 00:22:51,697 --> 00:22:53,977 Speaker 1: I voted for Biden masks and things like that or 429 00:22:54,057 --> 00:22:56,657 Speaker 1: being a Biden twenty twenty so, and it was all 430 00:22:56,817 --> 00:23:00,977 Speaker 1: you Democrats were very pro mask. It became an entirely 431 00:23:01,657 --> 00:23:04,577 Speaker 1: political bifurcation which side of this are are you one? 432 00:23:05,337 --> 00:23:08,497 Speaker 1: And that that was troubling to me. But but also 433 00:23:09,097 --> 00:23:12,377 Speaker 1: I was saying for on Twitter, guys, just give it time. 434 00:23:12,617 --> 00:23:15,417 Speaker 1: There Fauci's gonna say, actually, we need a double mask 435 00:23:15,497 --> 00:23:19,137 Speaker 1: because the data will be so clear that cloth masks 436 00:23:19,177 --> 00:23:21,977 Speaker 1: are worthless. And sure enough, and then I was retweeting 437 00:23:22,017 --> 00:23:23,977 Speaker 1: my tweet from three months because saying, hey, I don't 438 00:23:23,977 --> 00:23:26,137 Speaker 1: have a medical degree, but how did I know that 439 00:23:26,177 --> 00:23:28,577 Speaker 1: they were going to say that double masking was necessary 440 00:23:28,697 --> 00:23:31,897 Speaker 1: because obviously there was a failure, and there was a 441 00:23:32,017 --> 00:23:33,857 Speaker 1: point there was a brief moment where they started talking 442 00:23:33,897 --> 00:23:36,137 Speaker 1: about goggles. I don't know if you saw this, but 443 00:23:36,217 --> 00:23:40,097 Speaker 1: they were say yes, because the virus could go in 444 00:23:40,177 --> 00:23:42,857 Speaker 1: your eyes. Like, I remember all this stuff, and yet 445 00:23:42,897 --> 00:23:44,737 Speaker 1: I still come across people. A lot of people on 446 00:23:44,857 --> 00:23:47,897 Speaker 1: planes in the US will still voluntarily mask. And the 447 00:23:48,057 --> 00:23:50,897 Speaker 1: thing about them that bothers me, I'm actually I'm contemptuous 448 00:23:50,937 --> 00:23:53,217 Speaker 1: of it. I don't I'm not like, oh, that's okay. Live. 449 00:23:53,337 --> 00:23:54,897 Speaker 1: Because we went through the they didn't want to live 450 00:23:54,897 --> 00:23:57,817 Speaker 1: and let live. If they could, and the Biden administration 451 00:23:57,857 --> 00:24:00,097 Speaker 1: had the power here again, they would reinstitute the mask 452 00:24:00,217 --> 00:24:03,017 Speaker 1: on plane rule for everybody, which is crazy, not only 453 00:24:03,017 --> 00:24:06,537 Speaker 1: because masks don't work. The CEOs of the airlines in 454 00:24:06,657 --> 00:24:09,857 Speaker 1: this country have all come out to say our hepiphiltrations 455 00:24:10,377 --> 00:24:13,377 Speaker 1: on planes go down to the level of virus particles. 456 00:24:13,577 --> 00:24:17,017 Speaker 1: The cleanest air that people are breathing anywhere in their 457 00:24:17,097 --> 00:24:19,577 Speaker 1: life in a congregate setting, as fout you would say, 458 00:24:20,017 --> 00:24:22,777 Speaker 1: is on airplanes. So the place with the most concentration 459 00:24:22,857 --> 00:24:25,577 Speaker 1: of masking scientifically for a place where there's a lot 460 00:24:25,617 --> 00:24:29,737 Speaker 1: of people, so bars, restaurants, workplace is the safest place, 461 00:24:29,857 --> 00:24:31,137 Speaker 1: and that's where they wear a mask. And I just 462 00:24:31,177 --> 00:24:34,057 Speaker 1: feel like that's a perfect encapsulation of the madness. I 463 00:24:34,177 --> 00:24:37,617 Speaker 1: lost friends over this too, by the way, did you yeah, anyway, 464 00:24:37,617 --> 00:24:40,857 Speaker 1: it's crazy. I lost I think I lost half my friends. 465 00:24:40,937 --> 00:24:43,817 Speaker 1: I really, it's so mad. But I've got to say, 466 00:24:43,937 --> 00:24:47,257 Speaker 1: we didn't have the double masking in the UK. So 467 00:24:47,497 --> 00:24:50,057 Speaker 1: when I saw it, I did take a trip about 468 00:24:50,057 --> 00:24:52,217 Speaker 1: to Los Angeles and I saw it for the first time. 469 00:24:52,337 --> 00:24:54,057 Speaker 1: I was just like I had to take a picture 470 00:24:54,097 --> 00:24:55,777 Speaker 1: and send it to my friends and back in the 471 00:24:55,897 --> 00:24:58,657 Speaker 1: UK and say, oh my gosh, this is really real, 472 00:24:58,897 --> 00:25:02,897 Speaker 1: Like people are walking down the street double masks. And 473 00:25:02,977 --> 00:25:05,617 Speaker 1: I mean in the UK, so people would only have 474 00:25:05,697 --> 00:25:07,297 Speaker 1: to wear them in the shops. You never actually had 475 00:25:07,377 --> 00:25:11,937 Speaker 1: to wear them outside on the street. And you could 476 00:25:11,977 --> 00:25:15,377 Speaker 1: also self exempt yourself. So I gave myself an exemption. 477 00:25:15,457 --> 00:25:17,137 Speaker 1: I was just and I didn't even have to prove it. 478 00:25:17,257 --> 00:25:19,337 Speaker 1: I could go into a shop and say I'm exempt, 479 00:25:19,417 --> 00:25:22,977 Speaker 1: and they had to accept that as an exemption. But 480 00:25:23,137 --> 00:25:26,217 Speaker 1: there were so You'd see people and they would pull 481 00:25:26,297 --> 00:25:28,897 Speaker 1: out a dirty mask from their purse, put it on, 482 00:25:29,737 --> 00:25:32,577 Speaker 1: walk around the shop, take it off, shove it in 483 00:25:32,657 --> 00:25:36,577 Speaker 1: their bag, and it's it was so stupid, and I 484 00:25:36,697 --> 00:25:39,137 Speaker 1: laugh about it now. I was so, like I said before, 485 00:25:39,257 --> 00:25:44,177 Speaker 1: I it made me physically ill. I got such anxiety 486 00:25:44,377 --> 00:25:46,417 Speaker 1: from it. And I've never been an anxious person, but 487 00:25:46,457 --> 00:25:49,577 Speaker 1: I always know that, you know, you've got to listen to, 488 00:25:49,737 --> 00:25:52,337 Speaker 1: like your gut and your intuition, and it was just 489 00:25:52,457 --> 00:25:54,937 Speaker 1: telling me the whole thing was wrong. Right, So I 490 00:25:55,057 --> 00:25:56,857 Speaker 1: laugh about it now, and I'm glad I can laugh 491 00:25:56,897 --> 00:26:00,537 Speaker 1: about it now, because the whole thing was just so absurd. 492 00:26:00,817 --> 00:26:03,777 Speaker 1: It was just so ridiculous. I'm so absurd, and none 493 00:26:03,817 --> 00:26:05,937 Speaker 1: of it made sense. I went to a restaurant at 494 00:26:06,017 --> 00:26:08,057 Speaker 1: one point in New York City and I sat down 495 00:26:08,177 --> 00:26:12,897 Speaker 1: with a friend and you had the rule, and again 496 00:26:12,937 --> 00:26:14,337 Speaker 1: I don't know if you had the same The rule 497 00:26:14,577 --> 00:26:16,937 Speaker 1: was you had to wear the mask, for the trip 498 00:26:17,177 --> 00:26:20,177 Speaker 1: from the door of the restaurant to the table, and 499 00:26:20,297 --> 00:26:21,897 Speaker 1: then take the mask off for the whole meal. You 500 00:26:21,977 --> 00:26:23,897 Speaker 1: did not have to mask up between bites during the meal. 501 00:26:24,777 --> 00:26:27,337 Speaker 1: But I sat down at this restaurant, and this is 502 00:26:27,497 --> 00:26:30,697 Speaker 1: maybe June of twenty twenty one, I would think something 503 00:26:30,777 --> 00:26:34,457 Speaker 1: like that. I sit down in this restaurant and the 504 00:26:34,537 --> 00:26:36,737 Speaker 1: manager comes running over and says, excuse me, sir, could 505 00:26:36,737 --> 00:26:39,857 Speaker 1: you pull your mask up? And I said, well, but 506 00:26:39,977 --> 00:26:42,177 Speaker 1: I'm sitting like this is the rules are? You know? 507 00:26:42,257 --> 00:26:43,857 Speaker 1: I can't eat through a mask? So the rules are 508 00:26:43,897 --> 00:26:45,857 Speaker 1: I'm sitting and he goes, no, no, no, here, we 509 00:26:46,017 --> 00:26:48,617 Speaker 1: request that until you've ordered your until you've at least 510 00:26:48,697 --> 00:26:51,697 Speaker 1: ordered a drink or food, you continue to mask at 511 00:26:51,737 --> 00:26:54,097 Speaker 1: the table. And I'll never forget. I pointed there was 512 00:26:54,097 --> 00:26:56,017 Speaker 1: a glass of water on the table already, and I said, 513 00:26:56,697 --> 00:26:58,657 Speaker 1: that's a drink, isn't it. And his face was just, 514 00:26:58,897 --> 00:27:02,297 Speaker 1: you know, cannot compute. Yeah, so the water doesn't count. 515 00:27:02,377 --> 00:27:05,817 Speaker 1: I order a beer and that's okay. The COVID won't come, 516 00:27:06,137 --> 00:27:09,817 Speaker 1: but the water does it. People. I it changed my 517 00:27:10,097 --> 00:27:14,217 Speaker 1: you of humanity, honestly, and it's in a pretty scary way. 518 00:27:14,617 --> 00:27:16,377 Speaker 1: And with the vaccines the same thing. I mean, you 519 00:27:16,457 --> 00:27:19,537 Speaker 1: had people that were cheering for folks to get fired 520 00:27:19,577 --> 00:27:22,937 Speaker 1: from their jobs for something that was that was a 521 00:27:22,977 --> 00:27:25,017 Speaker 1: complete failure and that never worked the way that they 522 00:27:25,097 --> 00:27:26,697 Speaker 1: told us it would it would work, and none of 523 00:27:26,737 --> 00:27:29,297 Speaker 1: them seem sorry. I've seen one guy, he's actually an 524 00:27:29,297 --> 00:27:33,377 Speaker 1: Australian fitness influencer who did a true Maya Colpa like, 525 00:27:33,497 --> 00:27:37,057 Speaker 1: I'm sorry to all my fans. I was way too 526 00:27:37,137 --> 00:27:39,577 Speaker 1: trusting and got all this wrong. Have you seen anybody 527 00:27:39,617 --> 00:27:42,257 Speaker 1: who's really come out and said, look, I was a jackass, 528 00:27:42,577 --> 00:27:46,497 Speaker 1: my bad. No, do you know what? Actually I had 529 00:27:46,537 --> 00:27:48,857 Speaker 1: not seen anyone publicly in the public eye do it, 530 00:27:48,977 --> 00:27:51,857 Speaker 1: but I think it was last weekend. I had my 531 00:27:52,057 --> 00:27:55,977 Speaker 1: first person say somebody that. It was a friend of 532 00:27:56,057 --> 00:27:58,617 Speaker 1: mine's husband and we'd go out for dinner and he'd say, 533 00:27:58,657 --> 00:28:02,337 Speaker 1: I just want every unvaccinated person in my company fired, 534 00:28:02,537 --> 00:28:04,937 Speaker 1: blah blah blah, and I had to hold my tongue 535 00:28:04,977 --> 00:28:06,737 Speaker 1: because I thought we're going to blow up and have 536 00:28:06,857 --> 00:28:09,377 Speaker 1: a huge argument in a restaurant and this is so 537 00:28:09,537 --> 00:28:13,377 Speaker 1: inappro So he actually messaged me and he said, you 538 00:28:13,457 --> 00:28:17,537 Speaker 1: know what, I've listened to this podcast and I've been 539 00:28:17,657 --> 00:28:20,817 Speaker 1: doing a bit of research and I've done a completely 540 00:28:20,937 --> 00:28:25,257 Speaker 1: Nutter one eighty and I complete again. So that was 541 00:28:25,337 --> 00:28:29,617 Speaker 1: the first one. That's my first one. But that wasn't 542 00:28:29,657 --> 00:28:32,457 Speaker 1: a friend I lost. It just became like we stopped 543 00:28:32,577 --> 00:28:35,657 Speaker 1: kind of hanging out as helps anymore because it just 544 00:28:35,777 --> 00:28:39,537 Speaker 1: got really awkward. But it's it's kind of good. So 545 00:28:39,617 --> 00:28:42,137 Speaker 1: that was my That's my first one. But nothing. I've 546 00:28:42,177 --> 00:28:47,057 Speaker 1: not really seen anyone publicly, although actually I'm wrong. There 547 00:28:47,257 --> 00:28:50,737 Speaker 1: was a there was an MP who came out and 548 00:28:51,057 --> 00:28:56,217 Speaker 1: said that he's now vaccine injured. And he came out 549 00:28:56,257 --> 00:28:58,257 Speaker 1: and he said, I think we should have a halt 550 00:28:58,337 --> 00:29:01,417 Speaker 1: in a suspension of the vaccines until we find out 551 00:29:01,537 --> 00:29:05,497 Speaker 1: what's going on. And he actually said this is the 552 00:29:05,577 --> 00:29:09,177 Speaker 1: craziest thing. He actually got suspended because he said, and 553 00:29:09,337 --> 00:29:11,297 Speaker 1: he quoted in this quote, he said, I think this 554 00:29:11,497 --> 00:29:15,977 Speaker 1: is one of the worst crimes against humanity since the Holocaust. 555 00:29:16,057 --> 00:29:18,937 Speaker 1: Now he didn't compare it to the Holocaust. He didn't 556 00:29:18,977 --> 00:29:22,337 Speaker 1: say it as bad as or worse than, he just 557 00:29:22,457 --> 00:29:26,057 Speaker 1: said since And so he got called anti semitic. They 558 00:29:26,137 --> 00:29:30,137 Speaker 1: said that's an anti Semitic slur, and he's got suspended 559 00:29:30,817 --> 00:29:33,217 Speaker 1: from his job as an MP. As name as Andrew Bridging, 560 00:29:33,897 --> 00:29:37,417 Speaker 1: so and he was actually just quoting somebody, so this 561 00:29:37,577 --> 00:29:41,017 Speaker 1: is the most So there is still insanity going on 562 00:29:41,257 --> 00:29:43,577 Speaker 1: in the UK, but he was somebody that came out. 563 00:29:43,937 --> 00:29:46,777 Speaker 1: I mean, actually, there's a doctor, a Sema Holtra who 564 00:29:47,377 --> 00:29:49,897 Speaker 1: I think on the early days advised people to take 565 00:29:49,977 --> 00:29:55,857 Speaker 1: the jobs who father died after having one. And he's 566 00:29:56,337 --> 00:29:58,417 Speaker 1: done a peer reviewed study and all sorts and he's 567 00:29:58,457 --> 00:30:00,657 Speaker 1: come out and said it. So there's there's maybe a 568 00:30:01,537 --> 00:30:04,697 Speaker 1: little handful of people. So we'll come back to this 569 00:30:04,937 --> 00:30:06,937 Speaker 1: in just a second. I want to ask everybody out 570 00:30:06,977 --> 00:30:10,377 Speaker 1: there if they've tried the American Giants incredibly comfortable clothing, 571 00:30:10,497 --> 00:30:13,777 Speaker 1: especially the hoodies. The hoodies are amazing. Get yourself hooked 572 00:30:13,817 --> 00:30:16,297 Speaker 1: up with one of American Giants Classic full zip hoodies 573 00:30:16,577 --> 00:30:19,257 Speaker 1: or they're newly released classic full Zip hoodie that's out 574 00:30:19,337 --> 00:30:22,377 Speaker 1: right now. The newest one Relax Fit is perfectly crafted 575 00:30:22,417 --> 00:30:24,217 Speaker 1: for the days you get to work from home or 576 00:30:24,257 --> 00:30:25,937 Speaker 1: just want to be comfortable as you run around town. 577 00:30:26,017 --> 00:30:28,497 Speaker 1: I've got one. I wear it all the time. 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You know, give 597 00:31:25,137 --> 00:31:26,937 Speaker 1: us a little bit of your backstory. How did it 598 00:31:26,977 --> 00:31:28,537 Speaker 1: come to be? I mean now I see you on 599 00:31:28,737 --> 00:31:32,497 Speaker 1: GB News, you're talking Vax Ukraine, you're talking whatever. How 600 00:31:32,537 --> 00:31:36,257 Speaker 1: did you get to do you know what is so weird? 601 00:31:36,417 --> 00:31:39,657 Speaker 1: I don't know how it happened. It was I've moved 602 00:31:39,697 --> 00:31:44,537 Speaker 1: back to back to the UK from Lau. My fiancee's 603 00:31:44,537 --> 00:31:48,257 Speaker 1: a musician, so we were moving to an area called Cheshire, 604 00:31:48,297 --> 00:31:51,217 Speaker 1: which is where he's from originally. Job he's not just 605 00:31:51,457 --> 00:31:53,977 Speaker 1: he's not just a musician. You could you could tell everybody, 606 00:31:54,137 --> 00:31:56,257 Speaker 1: can tell the folks he's not a guy who's like 607 00:31:56,417 --> 00:31:58,977 Speaker 1: playing at you know, at the bar for tips. Tell 608 00:31:59,017 --> 00:32:02,617 Speaker 1: everybody who he is. And so it's Billy Duffy from 609 00:32:02,697 --> 00:32:05,777 Speaker 1: the Cults. Um he wrote the songs. He's the guitar 610 00:32:05,897 --> 00:32:09,217 Speaker 1: player from the car. So I never know who who 611 00:32:09,457 --> 00:32:11,497 Speaker 1: knows him on because I mean I didn't when I 612 00:32:11,657 --> 00:32:13,457 Speaker 1: met him. I had to, like I did do a 613 00:32:13,497 --> 00:32:18,297 Speaker 1: Google search. So when Lego Marcus said she didn't google Harrys, 614 00:32:18,577 --> 00:32:22,937 Speaker 1: we both googled each other. Right, So, um, yes, I 615 00:32:23,017 --> 00:32:26,377 Speaker 1: never know who knows or not is a very excellent, 616 00:32:26,537 --> 00:32:29,497 Speaker 1: very excellent band. But so ok, how do you like 617 00:32:29,617 --> 00:32:33,617 Speaker 1: living in la by the way? Um? Well, I well 618 00:32:33,617 --> 00:32:36,097 Speaker 1: I would think I was. I was there eighteen years. 619 00:32:36,137 --> 00:32:37,457 Speaker 1: I got to do the math on this, but I 620 00:32:37,537 --> 00:32:40,057 Speaker 1: think I was like twenty two twenty three when I 621 00:32:40,217 --> 00:32:44,497 Speaker 1: moved out there. Originally, um and at the time I 622 00:32:44,657 --> 00:32:50,297 Speaker 1: was young, I loved it, and UM then to me, 623 00:32:51,377 --> 00:32:53,577 Speaker 1: I started I just started to hate it. I think 624 00:32:53,737 --> 00:32:55,537 Speaker 1: maybe it was about eight or nine years ago I 625 00:32:55,617 --> 00:32:58,097 Speaker 1: started to hate it. I thought, if I stay here, 626 00:32:58,177 --> 00:33:01,937 Speaker 1: I'm going to remain single forever. Um. A lot of 627 00:33:02,017 --> 00:33:05,857 Speaker 1: my friends had moved back to England, got married, had children, UM. 628 00:33:06,737 --> 00:33:09,097 Speaker 1: And I just went to see my sister one day 629 00:33:09,457 --> 00:33:15,217 Speaker 1: and just kind of long to that lovely, quiet, peaceful 630 00:33:15,297 --> 00:33:18,657 Speaker 1: life that she had, just the normal, wholesome life, and 631 00:33:18,697 --> 00:33:20,777 Speaker 1: I was like, right, that's it. I want to move 632 00:33:20,857 --> 00:33:23,777 Speaker 1: back to the UK. And luckily my fiance is English. 633 00:33:23,977 --> 00:33:26,137 Speaker 1: But I did meet him out there, but we kind 634 00:33:26,177 --> 00:33:30,497 Speaker 1: of both decided to come back at the same time. Yeah, 635 00:33:30,857 --> 00:33:33,457 Speaker 1: even though I'm sorry, it's kind of weird because I've 636 00:33:33,537 --> 00:33:35,297 Speaker 1: made up in my mind if I stayed in LA 637 00:33:35,337 --> 00:33:38,417 Speaker 1: I'd be single forever. But I actually met him in 638 00:33:38,617 --> 00:33:42,617 Speaker 1: LA so kind of doesn't make sense. I always get 639 00:33:42,657 --> 00:33:46,497 Speaker 1: told by people that you find you find the person 640 00:33:46,537 --> 00:33:48,537 Speaker 1: when you're not looking for the person. So maybe also 641 00:33:48,617 --> 00:33:50,217 Speaker 1: when you're like, I'm never going to meet someone in 642 00:33:50,257 --> 00:33:52,937 Speaker 1: this town, it's when it actually happens. I think for 643 00:33:52,977 --> 00:33:55,097 Speaker 1: a lot of people, that's a story that I hear. 644 00:33:55,337 --> 00:33:58,817 Speaker 1: Pretty yeah, no, it's true. I like in my mind, 645 00:33:58,977 --> 00:34:01,577 Speaker 1: I was like, right, I'm going back to England. That's it. 646 00:34:02,017 --> 00:34:04,017 Speaker 1: And so maybe that took the pressure off when we, 647 00:34:04,457 --> 00:34:06,377 Speaker 1: you know, on our first few dates, I was like, 648 00:34:06,697 --> 00:34:09,017 Speaker 1: you know, I'm like, so, so, how did the real 649 00:34:09,097 --> 00:34:11,657 Speaker 1: housewives of sure Thing come together? And what's that like? 650 00:34:12,057 --> 00:34:16,177 Speaker 1: What's it like to have them, you know, have the 651 00:34:16,297 --> 00:34:18,497 Speaker 1: cameras and all that stuff around? Is that does it 652 00:34:18,577 --> 00:34:21,257 Speaker 1: take some Like I've gotten used to having a microphone 653 00:34:21,297 --> 00:34:22,617 Speaker 1: or phone me all the time. I'm not really I 654 00:34:22,657 --> 00:34:24,857 Speaker 1: don't like cameras as much. I just like microphones, but 655 00:34:25,137 --> 00:34:27,257 Speaker 1: you know, I have to we do the things for 656 00:34:27,377 --> 00:34:30,497 Speaker 1: the media. Did you enjoy being on that show? What 657 00:34:30,697 --> 00:34:33,137 Speaker 1: was that? Was that a trip? What was it like? Now? 658 00:34:33,337 --> 00:34:36,777 Speaker 1: You know what? It's funny. I did kind of enjoy 659 00:34:36,817 --> 00:34:39,017 Speaker 1: it at the time. But there was a lot of arguments, 660 00:34:39,217 --> 00:34:43,017 Speaker 1: which obviously they want drama, right, So I'm not saying 661 00:34:43,297 --> 00:34:45,857 Speaker 1: it's stage because none of it was stage. I had 662 00:34:47,417 --> 00:34:52,217 Speaker 1: genuine arguments and resented a couple of people and didn't 663 00:34:52,217 --> 00:34:54,417 Speaker 1: get on with a couple of people, But they also 664 00:34:54,537 --> 00:34:58,497 Speaker 1: wanted you to actually like make up. It doesn't look 665 00:34:58,577 --> 00:35:02,457 Speaker 1: good if there's this constant conflict, and I just I couldn't. 666 00:35:02,537 --> 00:35:05,297 Speaker 1: I was really different to a lot of them, not 667 00:35:06,977 --> 00:35:11,217 Speaker 1: materialistic the way they were materialistic. When I saw the 668 00:35:11,337 --> 00:35:14,897 Speaker 1: final edit of it and they cut out stuff that's 669 00:35:14,937 --> 00:35:17,377 Speaker 1: important to me, they cut out saying like my walks 670 00:35:17,377 --> 00:35:19,617 Speaker 1: with my fianc and my dogs. They cut out my niece, 671 00:35:19,697 --> 00:35:22,217 Speaker 1: they cut out my sister, they cut out me with 672 00:35:22,337 --> 00:35:25,017 Speaker 1: my horses. I was just like, you know what, I 673 00:35:25,097 --> 00:35:27,577 Speaker 1: don't don't want to I don't want to stay in this. 674 00:35:27,697 --> 00:35:32,777 Speaker 1: They filmed so much, but they really really like just 675 00:35:33,057 --> 00:35:37,057 Speaker 1: keep like the worst, nastiest, horrible bits. And actually I 676 00:35:37,177 --> 00:35:39,737 Speaker 1: feel like it's a good analogy for a lot of 677 00:35:39,817 --> 00:35:42,537 Speaker 1: the news that goes on, you know, when you watch 678 00:35:42,657 --> 00:35:46,297 Speaker 1: the BBC or something, and especially during COVID, I'm like, gosh, 679 00:35:46,337 --> 00:35:48,217 Speaker 1: there's like all these good things going on, there's all 680 00:35:48,257 --> 00:35:50,937 Speaker 1: these great stories of people getting better, and they're just 681 00:35:51,337 --> 00:35:53,937 Speaker 1: really focusing in on like the worst thing and the 682 00:35:54,057 --> 00:35:57,777 Speaker 1: death rates, not you know, the ninety year old grandma 683 00:35:57,937 --> 00:36:00,937 Speaker 1: who's a lot better so to me, you know, I 684 00:36:01,057 --> 00:36:03,857 Speaker 1: think there was a lot of parallels I saw in 685 00:36:04,017 --> 00:36:06,057 Speaker 1: that as well, when I was doing The Housewives, and 686 00:36:06,097 --> 00:36:08,857 Speaker 1: then once I'd left it and was back and going 687 00:36:09,057 --> 00:36:13,857 Speaker 1: just like it is. Actually, I guess TV and the 688 00:36:13,977 --> 00:36:16,817 Speaker 1: news is like a reality show just picking the worst 689 00:36:16,937 --> 00:36:20,097 Speaker 1: out of people. Well, you know, with the with the Internet, 690 00:36:20,177 --> 00:36:23,497 Speaker 1: there's something we'd talk about a lot, particularly in conservative 691 00:36:23,577 --> 00:36:27,897 Speaker 1: media here, the places like CNN, which back in the 692 00:36:28,177 --> 00:36:30,737 Speaker 1: in the nineties and the eighties to some extent, I 693 00:36:30,817 --> 00:36:34,017 Speaker 1: forget when CNN first came online, but back in the nineties, 694 00:36:34,057 --> 00:36:36,817 Speaker 1: it was a news ticker, right, so you could turn 695 00:36:36,897 --> 00:36:39,777 Speaker 1: on CNN to get the news, and so that was 696 00:36:39,857 --> 00:36:42,377 Speaker 1: its value. It was just hey, you know, this is 697 00:36:42,417 --> 00:36:44,937 Speaker 1: what the stock market's doing, and you know, this country 698 00:36:45,217 --> 00:36:47,577 Speaker 1: is some kind of a conflict and it could be. 699 00:36:48,417 --> 00:36:50,497 Speaker 1: It always had a perspective and it was it was 700 00:36:51,057 --> 00:36:54,777 Speaker 1: Democrat leading, but it was presenting news. But now because 701 00:36:54,817 --> 00:36:57,417 Speaker 1: of the Internet and there's a million news sites and 702 00:36:57,537 --> 00:36:59,857 Speaker 1: it's instantaneous, and then there's also social media and the 703 00:36:59,897 --> 00:37:03,057 Speaker 1: sharing of news there, some of these news entities have 704 00:37:03,177 --> 00:37:06,577 Speaker 1: had to just go more and more into the outrage 705 00:37:06,657 --> 00:37:11,777 Speaker 1: machinery and essentially propaganda and manipulation of emotion just to 706 00:37:11,937 --> 00:37:14,697 Speaker 1: draw audience. Right, So this is where you got into 707 00:37:15,297 --> 00:37:17,857 Speaker 1: commentary really in place of news at a lot of 708 00:37:17,897 --> 00:37:21,817 Speaker 1: places entirely. And it's also why I think people who 709 00:37:21,897 --> 00:37:24,817 Speaker 1: watch the news too much. And I work in the news, 710 00:37:24,937 --> 00:37:26,857 Speaker 1: but I always say I tell people listen to my 711 00:37:26,937 --> 00:37:28,817 Speaker 1: podcast and then go for a walk in the park. 712 00:37:28,937 --> 00:37:32,217 Speaker 1: Like people who do too much of this, it is 713 00:37:32,337 --> 00:37:36,057 Speaker 1: designed to make them unhappy, and it is warring propaganda 714 00:37:36,137 --> 00:37:38,417 Speaker 1: machines for the most part, so it's like you need 715 00:37:38,537 --> 00:37:41,617 Speaker 1: some of it, but not too much of it, right, 716 00:37:41,657 --> 00:37:44,617 Speaker 1: And I think I'm in the US as well, it's 717 00:37:44,697 --> 00:37:46,897 Speaker 1: not as bad as in the UK because the UK 718 00:37:47,177 --> 00:37:50,017 Speaker 1: have this like governing body called Offcom and they're supposed 719 00:37:50,057 --> 00:37:53,457 Speaker 1: to you know, usually Offcom as well. People write to 720 00:37:53,537 --> 00:37:57,457 Speaker 1: them if someone's wearing something a little bit too skimpy 721 00:37:57,537 --> 00:38:00,897 Speaker 1: on like our equivalent of you've got is it dancing 722 00:38:00,937 --> 00:38:03,417 Speaker 1: with the stars? You have? And you know, so we've 723 00:38:03,457 --> 00:38:07,577 Speaker 1: got like dancing on ice strictly come dancing and if 724 00:38:07,617 --> 00:38:10,817 Speaker 1: something someone's wearing something too skimpy, like people in and complaint. 725 00:38:11,177 --> 00:38:14,497 Speaker 1: But what's also happened is that people will do that 726 00:38:14,617 --> 00:38:17,577 Speaker 1: if they don't like what's being said about the vaccines, 727 00:38:17,657 --> 00:38:20,017 Speaker 1: or if they don't like what was being said about lockdown. 728 00:38:20,377 --> 00:38:22,817 Speaker 1: They'll be like this is really dangerous, and then they've 729 00:38:23,017 --> 00:38:29,137 Speaker 1: flood places like gb News with all these complaints and 730 00:38:29,297 --> 00:38:32,897 Speaker 1: then people kind of get investigated and it's just this 731 00:38:33,057 --> 00:38:37,417 Speaker 1: whole long drawn out process. So instead of being like this, 732 00:38:37,977 --> 00:38:43,937 Speaker 1: you know, regular literary body that is balanced it's all, 733 00:38:44,297 --> 00:38:47,417 Speaker 1: it's become part of this like misinformation machine. And then 734 00:38:47,457 --> 00:38:51,537 Speaker 1: you see like the chief executive of Offcom then is 735 00:38:51,617 --> 00:38:54,737 Speaker 1: going to Davos and speaking to the w EF. So 736 00:38:54,857 --> 00:38:57,257 Speaker 1: it's like hold on a minute, like this is also 737 00:38:57,577 --> 00:39:02,537 Speaker 1: intertwined with the British media. It's very it's it's yeah, 738 00:39:02,577 --> 00:39:06,257 Speaker 1: it's very different from the US. I think, yeah, well, 739 00:39:06,297 --> 00:39:08,537 Speaker 1: I don't think you guys have obviously you don't have 740 00:39:08,577 --> 00:39:10,537 Speaker 1: a constitution, but I don't think that they're the same 741 00:39:12,017 --> 00:39:15,697 Speaker 1: legal protections for speech, right, I mean, if someone says 742 00:39:15,777 --> 00:39:19,657 Speaker 1: something that is essentially disturbing the piece in some capacity, 743 00:39:19,777 --> 00:39:22,497 Speaker 1: meaning that it says something that upsets enough people. I 744 00:39:22,537 --> 00:39:24,457 Speaker 1: always see these articles in the Daily Mail, which by 745 00:39:24,497 --> 00:39:27,817 Speaker 1: the way is a new site that I read a lot. Well, 746 00:39:27,857 --> 00:39:30,617 Speaker 1: the cops will come knock on the or bobbies do 747 00:39:30,697 --> 00:39:33,777 Speaker 1: we call the bobbies? Right? Okay, I don't know, we 748 00:39:33,897 --> 00:39:36,217 Speaker 1: don't do it so much anymore. Yeah, but you know 749 00:39:36,377 --> 00:39:38,577 Speaker 1: what I've noticed, actually we're picking up a lot of 750 00:39:38,617 --> 00:39:41,137 Speaker 1: the American terms because it used to be police and 751 00:39:41,257 --> 00:39:43,737 Speaker 1: cops used to be so American, but now everyone says 752 00:39:43,817 --> 00:39:46,497 Speaker 1: cops here. So yeah, it is. It is a quick 753 00:39:46,537 --> 00:39:49,257 Speaker 1: and easy, easy shorthand. By the way, since since we're 754 00:39:49,257 --> 00:39:52,297 Speaker 1: talking linguistics for a second here, so would your accent 755 00:39:52,417 --> 00:39:56,097 Speaker 1: be considered. I'm fascinated by British accents. I've talked about 756 00:39:56,097 --> 00:39:59,977 Speaker 1: this on radio because they like, first of all, whenever 757 00:40:00,017 --> 00:40:02,977 Speaker 1: there's a historical piece, So if we're setting a show 758 00:40:03,177 --> 00:40:06,017 Speaker 1: or a movie an ancient Rome, even if it's made 759 00:40:06,057 --> 00:40:08,897 Speaker 1: by Americans, we need them all to have British accents, 760 00:40:08,897 --> 00:40:11,177 Speaker 1: which we just kind of right because they would have 761 00:40:11,257 --> 00:40:13,297 Speaker 1: been speaking Latin, so why they have to have British 762 00:40:13,337 --> 00:40:16,297 Speaker 1: accents of the first American accents never but we just 763 00:40:16,417 --> 00:40:19,937 Speaker 1: think like, oh, fancy historical British. But then you also 764 00:40:20,017 --> 00:40:23,977 Speaker 1: have there's like fancy accents up here. Well, oh, I 765 00:40:24,137 --> 00:40:26,017 Speaker 1: do a lot of things you know that you have 766 00:40:26,097 --> 00:40:28,497 Speaker 1: the the you know, the like, so the soldier, the 767 00:40:28,537 --> 00:40:30,497 Speaker 1: everyday soldier is going to have more of I guess 768 00:40:30,537 --> 00:40:34,377 Speaker 1: a Cockney accent, and so is your accent men Cunian 769 00:40:34,617 --> 00:40:37,457 Speaker 1: or what what would yours be considering? No, okay, so 770 00:40:37,657 --> 00:40:39,897 Speaker 1: mine is really messed up. So I'm from the south 771 00:40:39,977 --> 00:40:42,537 Speaker 1: of England, um, so I would think it would be 772 00:40:42,697 --> 00:40:45,097 Speaker 1: considered quite hosh. But then I went to live in 773 00:40:45,177 --> 00:40:48,297 Speaker 1: London for a bit and I don't know, my accent 774 00:40:48,377 --> 00:40:50,297 Speaker 1: just seems to keep changing all the time. And then 775 00:40:50,377 --> 00:40:54,497 Speaker 1: I moved to America, where everyone thought I was Australian 776 00:40:54,817 --> 00:40:56,857 Speaker 1: because I started to pick up this twang. And I 777 00:40:56,937 --> 00:41:00,297 Speaker 1: think when English people moved to America they start to 778 00:41:00,377 --> 00:41:04,177 Speaker 1: sound Australian. Um. And I don't know how that is, 779 00:41:04,817 --> 00:41:07,377 Speaker 1: but that that does kind of happen. You get before 780 00:41:07,417 --> 00:41:10,257 Speaker 1: you sound America and you start to sound Australian. Then 781 00:41:10,257 --> 00:41:13,337 Speaker 1: I moved back and my fiance is from Manchester, so 782 00:41:13,457 --> 00:41:16,537 Speaker 1: he's man Keunian. So then I pick up these northern bits. 783 00:41:17,017 --> 00:41:18,697 Speaker 1: But now I actually live in the middle of the 784 00:41:18,777 --> 00:41:21,737 Speaker 1: country from Birmingham. I don't know if you've ever watched 785 00:41:21,777 --> 00:41:25,257 Speaker 1: Peaky Blinders. Oh it's one of my favorite shows. Yes, 786 00:41:26,457 --> 00:41:29,057 Speaker 1: So it's that kind of act. So mine is just 787 00:41:29,657 --> 00:41:32,337 Speaker 1: is a mess And depending on who I speak too, 788 00:41:33,097 --> 00:41:37,217 Speaker 1: I somehow pick up little twangs of things. It's very strange. 789 00:41:37,257 --> 00:41:40,177 Speaker 1: It's very strange. I've got a weird accent. And also 790 00:41:40,377 --> 00:41:42,497 Speaker 1: so can you. This would be kind of fun because 791 00:41:42,617 --> 00:41:45,377 Speaker 1: most people listen, so we were people watching on videos 792 00:41:45,377 --> 00:41:46,977 Speaker 1: so they can see you, but most people be listening 793 00:41:47,017 --> 00:41:50,417 Speaker 1: to this on audio only. So if you were going 794 00:41:50,457 --> 00:41:52,977 Speaker 1: to tell me in an American like, speak for me 795 00:41:53,137 --> 00:41:55,937 Speaker 1: in an American accent, your version of the most American 796 00:41:55,977 --> 00:42:02,057 Speaker 1: accent you can do about um? Why you know, did 797 00:42:02,097 --> 00:42:03,657 Speaker 1: you spend much time in New York too, or only 798 00:42:03,697 --> 00:42:08,097 Speaker 1: Los Angeles? No, just la Los Angeles. Tell me tell 799 00:42:08,137 --> 00:42:12,217 Speaker 1: me something about being you know, your favorite things about 800 00:42:12,257 --> 00:42:14,097 Speaker 1: Los Angeles in an American accent. I just want to 801 00:42:14,097 --> 00:42:16,977 Speaker 1: hear it because I always found it funny when these 802 00:42:17,057 --> 00:42:19,937 Speaker 1: British actors are cast in American roles and they all 803 00:42:20,697 --> 00:42:24,257 Speaker 1: so could you guys all complain about how our accents 804 00:42:24,257 --> 00:42:26,417 Speaker 1: so terrible? We all shound like, you know, we use 805 00:42:26,497 --> 00:42:28,457 Speaker 1: this thing right, and you all the Brits all make 806 00:42:28,537 --> 00:42:30,577 Speaker 1: fun of us. But I see all these guys that 807 00:42:30,737 --> 00:42:33,137 Speaker 1: come over and they try to do the American accent 808 00:42:33,217 --> 00:42:35,737 Speaker 1: and they all kind of talk like like their face 809 00:42:35,937 --> 00:42:39,257 Speaker 1: is really tight. They're like yeah, Now I'm American, you know, 810 00:42:39,457 --> 00:42:42,537 Speaker 1: so what is your do you an American accent? About 811 00:42:42,617 --> 00:42:46,097 Speaker 1: Los Angeles living for the audience per second, I'll just 812 00:42:46,257 --> 00:42:47,777 Speaker 1: have to do it like I'll have to ask with 813 00:42:47,857 --> 00:42:57,097 Speaker 1: something can I have some water please? And can I 814 00:42:57,217 --> 00:43:01,577 Speaker 1: have some butter? And then it was basically because when 815 00:43:01,577 --> 00:43:03,737 Speaker 1: I used to say water, can I have some water? 816 00:43:04,457 --> 00:43:06,017 Speaker 1: That'd be like hot and then you'd have to go 817 00:43:06,217 --> 00:43:10,617 Speaker 1: like water and like yeah, so it was it was rich. 818 00:43:11,217 --> 00:43:14,577 Speaker 1: So oh, I think I get some bread. I'd say 819 00:43:14,617 --> 00:43:17,457 Speaker 1: can I have some buttered? Place? And then it's a 820 00:43:17,577 --> 00:43:21,937 Speaker 1: huh oh, oh butter? Can I have some butter? Okay? 821 00:43:22,857 --> 00:43:25,257 Speaker 1: Did you find that's funny because your American kind of 822 00:43:25,297 --> 00:43:27,177 Speaker 1: actually sounds like a valley girl, which I'm sure you're 823 00:43:27,177 --> 00:43:29,577 Speaker 1: familiar with that concept from Los Angeles and girls who 824 00:43:29,617 --> 00:43:33,657 Speaker 1: are from the you know, the valley near la um Uh? 825 00:43:34,777 --> 00:43:37,097 Speaker 1: Did you find that Americans? And like, did you get 826 00:43:37,177 --> 00:43:39,457 Speaker 1: tired after a while if people all being fascinated by 827 00:43:39,457 --> 00:43:41,977 Speaker 1: because Americans are still fascinated by British accents, like we 828 00:43:42,057 --> 00:43:43,777 Speaker 1: hear one, We're like, oh that's so cool. You know, 829 00:43:44,697 --> 00:43:46,257 Speaker 1: we don't get that anywhere, Like we don't go to 830 00:43:46,337 --> 00:43:48,137 Speaker 1: Canada and they're like, oh, speak more in your in 831 00:43:48,217 --> 00:43:50,337 Speaker 1: your American accent for us A like they don't care 832 00:43:50,377 --> 00:43:52,697 Speaker 1: at all. So was that something that was a common 833 00:43:52,737 --> 00:43:54,737 Speaker 1: place for you in La or people just were like, yeah, 834 00:43:54,737 --> 00:43:58,897 Speaker 1: it's La. Yeah. No, I think it was norm when 835 00:43:58,937 --> 00:44:01,217 Speaker 1: I would go to other places or i'd leave La 836 00:44:01,297 --> 00:44:03,377 Speaker 1: and go to somewhere else that people would say, Oh, 837 00:44:03,497 --> 00:44:05,417 Speaker 1: I'll say that again, say that again. I'll speak a 838 00:44:05,457 --> 00:44:08,657 Speaker 1: bit of things. So well, they try and do my 839 00:44:08,817 --> 00:44:14,577 Speaker 1: accent pretty badly. But yeah, does anyone do Are there 840 00:44:14,577 --> 00:44:17,017 Speaker 1: any American actors that you've seen who you're like that 841 00:44:17,137 --> 00:44:19,457 Speaker 1: one that man or woman really pulls it off? Well, 842 00:44:19,817 --> 00:44:21,817 Speaker 1: you know, like Angelia and Jolie went through a phase 843 00:44:21,897 --> 00:44:23,617 Speaker 1: or she was always trying to do British roles. It 844 00:44:23,697 --> 00:44:25,737 Speaker 1: seems you know some of them. Is there anyone here 845 00:44:25,857 --> 00:44:30,657 Speaker 1: like that person really nailed it? Oh gosh, I don't know. Actually, 846 00:44:30,777 --> 00:44:34,377 Speaker 1: I was watching UM I was coming back from holiday 847 00:44:34,377 --> 00:44:35,897 Speaker 1: and I watched Gangs of New York and I thought 848 00:44:36,017 --> 00:44:42,097 Speaker 1: Leonardo did a good Irish accent, but that's obviously not English. 849 00:44:42,577 --> 00:44:44,857 Speaker 1: So I don't know. I can't think because usually if 850 00:44:44,897 --> 00:44:47,817 Speaker 1: they're that good, it doesn't stand out because I think 851 00:44:47,937 --> 00:44:52,417 Speaker 1: they're I think they're English until they speak, So let 852 00:44:52,497 --> 00:44:55,417 Speaker 1: me do you can you tell right away? I mean 853 00:44:55,497 --> 00:44:58,137 Speaker 1: so as an American when I hear somebody, if I 854 00:44:58,257 --> 00:45:03,137 Speaker 1: hear somebody from Boston, from the South, from the Midwest, 855 00:45:04,097 --> 00:45:06,417 Speaker 1: it's a little harder actually with California unless they have 856 00:45:06,537 --> 00:45:09,097 Speaker 1: kind of a prototypical and there's actually a Florida accent. 857 00:45:09,137 --> 00:45:10,977 Speaker 1: I'm done in Miami now, so there's a it's a 858 00:45:11,057 --> 00:45:13,057 Speaker 1: Miami accent, not a Florida accent, but there's a very 859 00:45:13,097 --> 00:45:17,737 Speaker 1: specific Miami speech and cadence that people have which feels 860 00:45:17,737 --> 00:45:20,177 Speaker 1: almost like a Latin like has almost like a more 861 00:45:20,177 --> 00:45:24,177 Speaker 1: of a English Spanish crossover, a Latin rhythm to it. 862 00:45:25,977 --> 00:45:28,017 Speaker 1: Can you tell, like when someone speaks, are you like 863 00:45:28,217 --> 00:45:30,537 Speaker 1: that person's from Birmingham that can you tell right away? 864 00:45:30,577 --> 00:45:33,617 Speaker 1: Or is it a little bit hard oh in England? Yes, yeah, definitely, 865 00:45:33,937 --> 00:45:37,897 Speaker 1: you definitely can tell. Sometimes. The weirdest thing is that sometimes, 866 00:45:38,097 --> 00:45:39,817 Speaker 1: or when I was living in America, I would get 867 00:45:39,897 --> 00:45:42,417 Speaker 1: mixed up between Irish and Scottish just because I hadn't 868 00:45:42,497 --> 00:45:46,897 Speaker 1: heard them for so long. But you can definitely tell, 869 00:45:47,217 --> 00:45:52,617 Speaker 1: I think between like Liverpool Birmingham from down south Cockney, 870 00:45:52,697 --> 00:45:54,777 Speaker 1: the ones I struggle with a kind of like the 871 00:45:54,937 --> 00:46:00,577 Speaker 1: Yorkshire and Sheffield, the Yorkshire and Sheffield and Manchester a 872 00:46:00,657 --> 00:46:02,937 Speaker 1: little bit to some extent because when I met Billy, 873 00:46:03,657 --> 00:46:08,977 Speaker 1: I thought he sounded like Ned Stark from Game of Thrones. 874 00:46:10,457 --> 00:46:15,017 Speaker 1: He's like Yorkshire or Sheffield. And he's like, I don't 875 00:46:15,097 --> 00:46:18,217 Speaker 1: sound like him. I'm from Manchester and he's from like Sheffield. 876 00:46:18,257 --> 00:46:19,897 Speaker 1: I was like, oh, you're northern. You all kind of 877 00:46:19,977 --> 00:46:23,537 Speaker 1: sound the same to me, but there's Newcastle sounds very different, 878 00:46:23,697 --> 00:46:26,497 Speaker 1: like I can almost not even understand what they're saying 879 00:46:26,617 --> 00:46:30,857 Speaker 1: and need a translator and they speak so strangely, but 880 00:46:31,057 --> 00:46:35,177 Speaker 1: like you can definitely tell Liverpool and Birmingham. And yeah, 881 00:46:35,577 --> 00:46:37,657 Speaker 1: and I know you have you mentioned this briefly and 882 00:46:38,097 --> 00:46:41,297 Speaker 1: from uh, you know social media. I know you love horses. 883 00:46:41,537 --> 00:46:44,177 Speaker 1: Has that been a lifelong thing? Or do you do? 884 00:46:44,217 --> 00:46:46,417 Speaker 1: You do? You do you ride? Do you do you 885 00:46:46,497 --> 00:46:49,017 Speaker 1: want to breed horses? Like what's the do you show them? 886 00:46:49,097 --> 00:46:52,057 Speaker 1: What do you do? So? I show jump a little bit, 887 00:46:52,137 --> 00:46:54,217 Speaker 1: but just for fun, like I'm not, you know, not 888 00:46:54,337 --> 00:46:57,617 Speaker 1: professional or anything like that. Um, and I have I 889 00:46:57,737 --> 00:47:01,897 Speaker 1: have three horses here at home now. Um and I 890 00:47:01,977 --> 00:47:04,057 Speaker 1: did start I started to ride out that I loved them. 891 00:47:04,097 --> 00:47:06,257 Speaker 1: When I was a little girl, I was like absolutely 892 00:47:06,297 --> 00:47:09,537 Speaker 1: obsessed with them. I had little, my little ponies, and 893 00:47:09,577 --> 00:47:11,937 Speaker 1: then I got a little my dead parents got me 894 00:47:11,977 --> 00:47:14,097 Speaker 1: a little pony because in the UK, back in the 895 00:47:14,217 --> 00:47:17,017 Speaker 1: day kind of it was a thing. There's loads of 896 00:47:17,217 --> 00:47:19,337 Speaker 1: land that you know, there's a lot of space if 897 00:47:19,377 --> 00:47:22,137 Speaker 1: you don't live in London, loads of fields, and we 898 00:47:22,217 --> 00:47:24,657 Speaker 1: just had a little I had a little pony. I 899 00:47:24,737 --> 00:47:28,777 Speaker 1: probably stopped riding when I was about sixteen, and then 900 00:47:30,737 --> 00:47:33,697 Speaker 1: back in la when I got fed up with you know, 901 00:47:33,897 --> 00:47:36,017 Speaker 1: kind of going out and all of that, I ended 902 00:47:36,097 --> 00:47:39,217 Speaker 1: up buying myself another horse. So I was probably about 903 00:47:40,457 --> 00:47:43,177 Speaker 1: had him ten years now, So I was about thirty four, 904 00:47:45,057 --> 00:47:47,737 Speaker 1: and I got myself a horse out there, and then 905 00:47:47,937 --> 00:47:50,257 Speaker 1: just the love of it all came back, and I 906 00:47:50,337 --> 00:47:53,017 Speaker 1: think I just wondered to myself, I wonder what would 907 00:47:53,057 --> 00:47:55,977 Speaker 1: have happened if I had carried on riding at like sixteen, 908 00:47:56,017 --> 00:47:58,297 Speaker 1: if I would even have gone to America, because I 909 00:47:58,457 --> 00:48:03,617 Speaker 1: think horsey people are a little bit obsessed. And my 910 00:48:04,057 --> 00:48:07,457 Speaker 1: fiance away says, I'm completely in Nataline saying, because I 911 00:48:07,537 --> 00:48:09,457 Speaker 1: had one horse and then I moved back to England. 912 00:48:09,577 --> 00:48:11,257 Speaker 1: I got another horse, and then as soon as we 913 00:48:12,137 --> 00:48:14,657 Speaker 1: had we moved to a place where I could have 914 00:48:14,737 --> 00:48:17,417 Speaker 1: them at home. There was a spare stable. I decided 915 00:48:17,457 --> 00:48:20,737 Speaker 1: I needed to fill it by getting another horse. And 916 00:48:20,817 --> 00:48:22,817 Speaker 1: you said dogs too, right, so give us what's the 917 00:48:22,897 --> 00:48:24,977 Speaker 1: hole menagerie here, we've got three horses, We got some 918 00:48:25,097 --> 00:48:28,657 Speaker 1: dogs and two dogs. Both my dogs are fifteen now. 919 00:48:28,817 --> 00:48:31,057 Speaker 1: So I got them when I was living in America, 920 00:48:31,217 --> 00:48:33,457 Speaker 1: and yeah, they came back with me. One of my 921 00:48:33,577 --> 00:48:37,577 Speaker 1: horses came back with me, um, and then got two 922 00:48:37,657 --> 00:48:41,577 Speaker 1: horses here. Yeah, so it's all swim across the Atlantic. 923 00:48:41,657 --> 00:48:45,377 Speaker 1: That horse must be in really good ship. Slew he 924 00:48:45,577 --> 00:48:51,857 Speaker 1: flew a fancy horse by a shipping container. But apparently 925 00:48:51,937 --> 00:48:54,937 Speaker 1: he flew. That's very cool. So yeah, no, no, it's 926 00:48:55,057 --> 00:48:58,337 Speaker 1: it's it's crazy. They have like um, I think it's 927 00:48:58,577 --> 00:49:03,537 Speaker 1: it's klm. They have like a whole um half a 928 00:49:03,617 --> 00:49:06,417 Speaker 1: section I think for animals that are being transported. So 929 00:49:06,857 --> 00:49:09,817 Speaker 1: they do have like the shipping container for three horses, 930 00:49:09,897 --> 00:49:11,897 Speaker 1: and it is usually race horses or something that go 931 00:49:12,057 --> 00:49:14,857 Speaker 1: on that ship to Europe. But I do have to 932 00:49:14,937 --> 00:49:17,977 Speaker 1: give you a film recommendation that is near and dear 933 00:49:18,057 --> 00:49:20,577 Speaker 1: to my heart for a few reasons. Have you seen 934 00:49:21,177 --> 00:49:25,897 Speaker 1: the documentary about the horse whisperer called Buck, Yes, yes, 935 00:49:26,137 --> 00:49:28,817 Speaker 1: I have seen it. I love it. I'm gonna say 936 00:49:28,857 --> 00:49:31,137 Speaker 1: I think it is great, not just because it's a 937 00:49:31,177 --> 00:49:33,817 Speaker 1: great name, but it is great because the guy is 938 00:49:33,897 --> 00:49:35,777 Speaker 1: really he's amazing. I mean, that was a very and 939 00:49:35,857 --> 00:49:38,657 Speaker 1: for anyone who's listening or watching if you haven't seen, 940 00:49:38,697 --> 00:49:41,377 Speaker 1: it didn't get a ton of like a lot of press, 941 00:49:41,457 --> 00:49:44,057 Speaker 1: I feel like, and it was really really good for 942 00:49:44,177 --> 00:49:46,257 Speaker 1: what it was. And I actually I'm supposed to with 943 00:49:46,337 --> 00:49:48,497 Speaker 1: my fiance I'm supposed to watch Sea Biscuit in the 944 00:49:48,537 --> 00:49:50,937 Speaker 1: next week. We've talked about watching Sea Biscuit for one 945 00:49:50,977 --> 00:49:54,817 Speaker 1: of our movie nights coming up, so you know, yeah, yeah, 946 00:49:54,897 --> 00:49:56,857 Speaker 1: so I have to. Can you see that? Actually I 947 00:49:56,937 --> 00:49:59,737 Speaker 1: think it wasn't here a little race horse apparently a 948 00:49:59,857 --> 00:50:02,697 Speaker 1: very good Yeah, yeah, very good. But I think he 949 00:50:02,897 --> 00:50:05,257 Speaker 1: was small. I might be confusing him with an oh yeah, no, 950 00:50:05,297 --> 00:50:07,177 Speaker 1: we need a little engine that could story here, you 951 00:50:07,217 --> 00:50:08,577 Speaker 1: know what I mean. It needs to be a David 952 00:50:08,617 --> 00:50:11,777 Speaker 1: and Goliath thing. I'm sure he's probably the horror. They're like, Oh, 953 00:50:11,897 --> 00:50:14,857 Speaker 1: he's just gonna be carrying like you know, moving a 954 00:50:14,977 --> 00:50:17,097 Speaker 1: card around or you know, he's worthless, and then all 955 00:50:17,097 --> 00:50:18,977 Speaker 1: of a sudden he kicks all the other horses asses Like. 956 00:50:19,017 --> 00:50:20,737 Speaker 1: I haven't seen it, I don't even know the story, 957 00:50:20,817 --> 00:50:23,177 Speaker 1: but I have a feeling that's probably probably where this 958 00:50:23,417 --> 00:50:25,697 Speaker 1: is going, right. I mean, I don't think see biscuit 959 00:50:25,777 --> 00:50:28,497 Speaker 1: ends up like smoking cigarettes and not meeting his full potential. 960 00:50:28,617 --> 00:50:30,537 Speaker 1: So I think that's a that's a good thing for sure. 961 00:50:31,057 --> 00:50:34,857 Speaker 1: So where should people go? Leilani defined more of both 962 00:50:34,937 --> 00:50:37,577 Speaker 1: your commentary, your GB news stuff is great over in 963 00:50:37,577 --> 00:50:40,377 Speaker 1: the UK. Um. I know you're doing stuff with Mark 964 00:50:40,457 --> 00:50:44,537 Speaker 1: Stein over there, right, So where should people follow? Yes? Yeah, so, um, 965 00:50:45,577 --> 00:50:48,497 Speaker 1: I have got new Instagram it's Lanie doubt. You can't 966 00:50:48,537 --> 00:50:51,017 Speaker 1: I can't use my full name still, so don't grasp 967 00:50:51,057 --> 00:50:54,857 Speaker 1: me up to Instagram, will report me um and Twitter 968 00:50:55,537 --> 00:50:58,537 Speaker 1: it's Leilani Doubting. And I also am hosting a show 969 00:50:58,657 --> 00:51:03,097 Speaker 1: on a channel called Iconic Um. It's a subscription channel, 970 00:51:03,137 --> 00:51:05,097 Speaker 1: but some of the shows go out on Rumble and 971 00:51:05,257 --> 00:51:09,337 Speaker 1: YouTube um, and it's it's kind of it's talking about 972 00:51:09,377 --> 00:51:12,097 Speaker 1: what's in the news. But because we're not on TV, 973 00:51:12,937 --> 00:51:16,017 Speaker 1: we're not governed by offcom and we can just speak 974 00:51:16,137 --> 00:51:18,857 Speaker 1: freely and have people who want to say how they 975 00:51:18,977 --> 00:51:21,737 Speaker 1: feel and how they really really feel on there. So 976 00:51:22,097 --> 00:51:25,897 Speaker 1: that's an iconic dot com and it's I see kay 977 00:51:27,657 --> 00:51:31,417 Speaker 1: like David Ike gotcha? All right, cool, we'll go check 978 00:51:31,417 --> 00:51:33,017 Speaker 1: out the lines work. Thank you so much for being 979 00:51:33,097 --> 00:51:35,977 Speaker 1: with us and for standing strong during the lockdown and 980 00:51:36,657 --> 00:51:39,577 Speaker 1: COVID madness. It was good to have some additional friends 981 00:51:39,617 --> 00:51:42,737 Speaker 1: from across the pond on that one. Thanks now you too, 982 00:51:42,937 --> 00:51:46,577 Speaker 1: It's great like everyone you know, both sides still standing together. 983 00:51:47,057 --> 00:51:48,457 Speaker 1: Thank you all right. Thanks