1 00:00:00,040 --> 00:00:02,719 Speaker 1: Hey, everybody, welcome to another episode of The Buck Sexton Show. 2 00:00:02,920 --> 00:00:06,880 Speaker 1: Very pleased to be joined by first time on this program, 3 00:00:07,400 --> 00:00:11,960 Speaker 1: Leilani Doubting. She is a UK based commentator. You see 4 00:00:12,000 --> 00:00:15,720 Speaker 1: her on gb News. Her Twitter game is fierce. She's 5 00:00:15,760 --> 00:00:19,479 Speaker 1: also formerly from The Real Housewives of Cheshire, which I 6 00:00:19,480 --> 00:00:22,640 Speaker 1: hope I am pronouncing correctly. Leilani, thank you very much 7 00:00:22,680 --> 00:00:25,360 Speaker 1: for being here with us. Appreciated. Thank you for having 8 00:00:25,400 --> 00:00:30,360 Speaker 1: me on it. So I first became aware of your commentary, 9 00:00:31,000 --> 00:00:35,240 Speaker 1: your punditry during COVID when many of us were locked away. 10 00:00:35,360 --> 00:00:37,080 Speaker 1: I don't know where you were in the UK during 11 00:00:37,080 --> 00:00:39,000 Speaker 1: and I was in New York City in Midtown in 12 00:00:39,000 --> 00:00:43,560 Speaker 1: the middle of the abject lunacy. I saw the hospital 13 00:00:43,560 --> 00:00:46,479 Speaker 1: ship floating, floating by my window, literally saw it as 14 00:00:46,520 --> 00:00:48,840 Speaker 1: it was going up the Hudson, because I was living 15 00:00:48,880 --> 00:00:52,040 Speaker 1: in midtown Manhattan and everything was, you know, lockdown at 16 00:00:52,040 --> 00:00:53,360 Speaker 1: the end of the world. And then there were some 17 00:00:53,400 --> 00:00:55,640 Speaker 1: of us who were saying, hey, guys, this is a 18 00:00:55,680 --> 00:00:57,880 Speaker 1: really crazy idea, this whole lockdown thing, right, and you 19 00:00:57,920 --> 00:01:01,200 Speaker 1: were very early in that. What's a now as you 20 00:01:01,240 --> 00:01:03,520 Speaker 1: look around the UK, I wanted to fast forward to 21 00:01:03,600 --> 00:01:07,200 Speaker 1: the current moment when you look around and all these 22 00:01:07,240 --> 00:01:09,760 Speaker 1: people who did all this stuff, or any of them sorry, 23 00:01:09,840 --> 00:01:10,959 Speaker 1: Do any of them come up to you and say 24 00:01:11,000 --> 00:01:14,440 Speaker 1: you were right? Like, how is it from your perspective? Yeah, 25 00:01:14,480 --> 00:01:17,280 Speaker 1: this is the craziest thing. No one has ever apologized 26 00:01:17,319 --> 00:01:20,120 Speaker 1: to me and said sorry. And I've lost so many friends. 27 00:01:20,400 --> 00:01:24,080 Speaker 1: I mean literally, I had just moved back actually, at 28 00:01:24,120 --> 00:01:26,720 Speaker 1: the time of lockdown, I had just moved back from 29 00:01:26,760 --> 00:01:29,000 Speaker 1: Los Angeles to England, so I was in the middle 30 00:01:29,000 --> 00:01:31,480 Speaker 1: of the country in Staffordshire. So I had a lot 31 00:01:31,520 --> 00:01:35,480 Speaker 1: of friends in Los Angeles who was seeing my posts 32 00:01:35,560 --> 00:01:39,360 Speaker 1: who were really angry at me. They were so angry 33 00:01:39,360 --> 00:01:42,960 Speaker 1: at me. I've kind of lost touch with them. No 34 00:01:42,959 --> 00:01:45,920 Speaker 1: one's ever reached out and said anything. The UK is 35 00:01:46,000 --> 00:01:48,640 Speaker 1: really free now. I feel like I lost a lot 36 00:01:48,680 --> 00:01:50,800 Speaker 1: of friends, But then I also made a whole bunch 37 00:01:50,840 --> 00:01:54,600 Speaker 1: of new friends. And those were people that didn't want 38 00:01:54,640 --> 00:02:00,200 Speaker 1: to lockdown, refused to lockdown, and kind of very vocal call. 39 00:02:00,240 --> 00:02:01,800 Speaker 1: I met them at a lot of the protests that 40 00:02:01,840 --> 00:02:05,360 Speaker 1: were going on and sew and forth. And the strange 41 00:02:05,400 --> 00:02:08,919 Speaker 1: thing is that in the UKI seems very different to 42 00:02:09,040 --> 00:02:12,639 Speaker 1: Los Angeles, and right now everyone just is like we'd 43 00:02:12,720 --> 00:02:16,600 Speaker 1: never do it again, but yet no one's actually apologized 44 00:02:16,680 --> 00:02:20,120 Speaker 1: for it. It's it's astonishing. And at what point for 45 00:02:20,200 --> 00:02:23,160 Speaker 1: you was at the beginning, because now here we are 46 00:02:23,240 --> 00:02:26,040 Speaker 1: and it's they just had Karine Jean Pierre. I'm sure 47 00:02:26,040 --> 00:02:28,440 Speaker 1: you see stuff going on with US politics. Karine Jean 48 00:02:28,440 --> 00:02:31,040 Speaker 1: Pierre in the White House was just reminding everybody, hey, 49 00:02:31,040 --> 00:02:33,480 Speaker 1: COVID's not over, and some of us want to just 50 00:02:33,560 --> 00:02:35,160 Speaker 1: jump up and scream. We're like, well, what does that 51 00:02:35,200 --> 00:02:37,160 Speaker 1: even mean? I mean, the common cold is also not over, 52 00:02:37,200 --> 00:02:39,560 Speaker 1: to the flu is not over. You know, your vaccines 53 00:02:39,560 --> 00:02:42,520 Speaker 1: don't stop the spread, they don't work. What is really 54 00:02:42,680 --> 00:02:44,040 Speaker 1: you know, maybe they work as well as a flu 55 00:02:44,120 --> 00:02:47,560 Speaker 1: shot and a good year, maybe for about two months 56 00:02:48,280 --> 00:02:52,399 Speaker 1: at best. So we're sitting around, Okay, what's really the situation? 57 00:02:52,760 --> 00:02:56,080 Speaker 1: I remember, for me, the hard break with the consensus 58 00:02:56,200 --> 00:02:58,440 Speaker 1: or the apparatus was when all of a sudden Fauci 59 00:02:58,520 --> 00:03:01,680 Speaker 1: went from masks don't work too o, no masks are essential. 60 00:03:01,840 --> 00:03:04,560 Speaker 1: That was and that was like April of twenty twenty, 61 00:03:05,240 --> 00:03:08,799 Speaker 1: right exactly. So there was that, and the masks were 62 00:03:08,840 --> 00:03:12,119 Speaker 1: going on in America, I think way before they were 63 00:03:12,120 --> 00:03:14,680 Speaker 1: in the UK. They became mounta Tree in the US 64 00:03:15,080 --> 00:03:18,320 Speaker 1: a lot sooner, and it was all very strange to me. 65 00:03:18,400 --> 00:03:21,360 Speaker 1: My friend's ninety year old grandma who wasn't in a 66 00:03:21,400 --> 00:03:23,120 Speaker 1: care home, she was being looked after her in her 67 00:03:23,160 --> 00:03:28,240 Speaker 1: own home. She had cancer, she has Alzheimer's and she 68 00:03:28,360 --> 00:03:32,359 Speaker 1: got COVID and she got better. And to me, I 69 00:03:32,400 --> 00:03:34,120 Speaker 1: was like, hold on a minute. This is supposed to 70 00:03:34,200 --> 00:03:37,560 Speaker 1: be the most vulnerable and she's got better from it. 71 00:03:37,720 --> 00:03:40,360 Speaker 1: So what is going on? I need to step back 72 00:03:40,360 --> 00:03:42,240 Speaker 1: from what the media were telling me. I need to 73 00:03:42,240 --> 00:03:45,080 Speaker 1: step back from like this death count that we're seeing 74 00:03:45,200 --> 00:03:47,200 Speaker 1: on the news every day, and I need to look 75 00:03:47,240 --> 00:03:51,040 Speaker 1: at what's going on around me and to see a 76 00:03:51,040 --> 00:03:54,200 Speaker 1: lot of vulnerable people that I knew, or people that 77 00:03:54,280 --> 00:03:56,960 Speaker 1: would be in that kind of category, get COVID and 78 00:03:57,040 --> 00:04:01,560 Speaker 1: be better. In addition to no vice on getting healthy, 79 00:04:03,000 --> 00:04:06,240 Speaker 1: doing everything kind of opposite to what a normal healthy 80 00:04:06,240 --> 00:04:08,320 Speaker 1: person would do, Like you know, in the UK, they 81 00:04:08,320 --> 00:04:10,200 Speaker 1: were saying we could only leave the house for an 82 00:04:10,200 --> 00:04:12,480 Speaker 1: hour a day, right, that makes no sense to me. 83 00:04:12,720 --> 00:04:14,600 Speaker 1: How do you get your vitamin D? How do you 84 00:04:14,640 --> 00:04:17,919 Speaker 1: get like sunshine, fresh air? Like you need all of 85 00:04:17,960 --> 00:04:20,480 Speaker 1: that right to be a healthy person. So it was 86 00:04:20,520 --> 00:04:23,320 Speaker 1: all very very counterintuitive to me, and I was like, 87 00:04:23,360 --> 00:04:26,600 Speaker 1: hold on. And in addition to that, I was watching 88 00:04:26,600 --> 00:04:30,359 Speaker 1: and I always have watched alternative doctors, so like doctor 89 00:04:30,400 --> 00:04:35,919 Speaker 1: Basha Batar, sorry, and then well doctor is it doctor Shiva? 90 00:04:36,080 --> 00:04:38,680 Speaker 1: I was watching right at the start, so I was 91 00:04:38,720 --> 00:04:42,080 Speaker 1: seeing these other people have a different view and kind 92 00:04:42,080 --> 00:04:44,640 Speaker 1: of saying like when you when there's viruses around, you 93 00:04:44,640 --> 00:04:48,000 Speaker 1: need to take these vitamins or these And then obviously 94 00:04:48,120 --> 00:04:50,960 Speaker 1: vitamins and minerals were then a conspiracy theory, and you 95 00:04:51,040 --> 00:04:54,239 Speaker 1: were like some far right conspiracy theorist if you thought 96 00:04:54,240 --> 00:04:57,440 Speaker 1: that taking supplements would ever be good for your health 97 00:04:57,440 --> 00:04:59,720 Speaker 1: and a fresh air and sunlight or any of these 98 00:04:59,720 --> 00:05:02,160 Speaker 1: things were good for you, and so we all just 99 00:05:02,440 --> 00:05:05,279 Speaker 1: none of it made sense. It all just made zero 100 00:05:05,400 --> 00:05:07,080 Speaker 1: sense at all to me. And that's kind of when 101 00:05:07,120 --> 00:05:10,000 Speaker 1: I said, well, hold on a minute, you know, what 102 00:05:10,240 --> 00:05:12,560 Speaker 1: is what is going on here? Did you have the 103 00:05:12,640 --> 00:05:17,239 Speaker 1: same level of craziness with you know, in the US 104 00:05:17,320 --> 00:05:19,560 Speaker 1: we had I remember it was the playground that was 105 00:05:19,640 --> 00:05:21,680 Speaker 1: right near my house. You know, the park had some 106 00:05:21,720 --> 00:05:24,960 Speaker 1: sports field things like that. They pad locked it, They 107 00:05:25,000 --> 00:05:28,880 Speaker 1: pulled the rims off of basketball courts so that nobody 108 00:05:28,880 --> 00:05:31,720 Speaker 1: could go out and shoot hoops by themselves or in 109 00:05:31,760 --> 00:05:36,040 Speaker 1: a group. They created little circles in the ground and 110 00:05:36,120 --> 00:05:38,000 Speaker 1: told people if you go to the park, if we 111 00:05:38,040 --> 00:05:39,880 Speaker 1: happen to have a park that's open at some point, 112 00:05:40,400 --> 00:05:42,839 Speaker 1: this is where you have to sit for social distancing. 113 00:05:42,960 --> 00:05:46,200 Speaker 1: We had little foot pedals in elevators where you were 114 00:05:46,440 --> 00:05:48,280 Speaker 1: in an elevator, right, so this would be like foot 115 00:05:48,279 --> 00:05:52,279 Speaker 1: pedals in a telephone booth, because you know, it's not 116 00:05:52,320 --> 00:05:54,720 Speaker 1: like there's a lot of room, you know, And did 117 00:05:54,760 --> 00:05:56,480 Speaker 1: you have all of that stuff too, I mean, I'm 118 00:05:56,520 --> 00:05:59,280 Speaker 1: just wondering. Obviously I couldn't travel during COVID, so I 119 00:05:59,320 --> 00:06:01,760 Speaker 1: couldn't see how it was elsewhere. But in New York 120 00:06:01,760 --> 00:06:04,359 Speaker 1: it was you did have that. Yeah, we did. So 121 00:06:04,520 --> 00:06:07,520 Speaker 1: we had arrows in supermarkets, so you had to go 122 00:06:07,600 --> 00:06:10,160 Speaker 1: a certain way around the aisles so that you were 123 00:06:10,240 --> 00:06:15,360 Speaker 1: never going in the opposite direction. The playgrounds were all 124 00:06:16,080 --> 00:06:19,400 Speaker 1: fenced off, even park benches, so there was a weird 125 00:06:19,520 --> 00:06:23,359 Speaker 1: rule that you could go for a walk, but you 126 00:06:23,400 --> 00:06:26,919 Speaker 1: weren't allowed to sit down with a friend or anybody. 127 00:06:26,960 --> 00:06:28,760 Speaker 1: You weren't allowed to sit down on a park bench, 128 00:06:29,240 --> 00:06:32,640 Speaker 1: and you weren't allowed to take say a coffee with 129 00:06:32,760 --> 00:06:35,360 Speaker 1: you or a cup of tea, because that even though 130 00:06:35,400 --> 00:06:37,600 Speaker 1: it was cold, it was like freezing cold. You weren't 131 00:06:37,600 --> 00:06:39,040 Speaker 1: allowed to take a coffee or a cup of tea 132 00:06:39,080 --> 00:06:41,560 Speaker 1: because that would class as a picnic. And you weren't 133 00:06:41,560 --> 00:06:44,279 Speaker 1: allowed to have picnics. You could only have exercise walks. 134 00:06:44,560 --> 00:06:46,720 Speaker 1: So this is how stupid it got. And I laughed 135 00:06:46,720 --> 00:06:49,640 Speaker 1: now because I just at the time, I was so 136 00:06:49,720 --> 00:06:54,560 Speaker 1: angry it like physically, it wasn't COVID that was what 137 00:06:54,800 --> 00:06:58,640 Speaker 1: scaring me. It was the controls that was scaring me. 138 00:06:58,760 --> 00:07:02,360 Speaker 1: And I got physically ill from it, and I felt anxiety. 139 00:07:03,400 --> 00:07:07,680 Speaker 1: Um it was it was. It was a physical feeling 140 00:07:07,680 --> 00:07:12,600 Speaker 1: that I felt right from, like this authority just closing 141 00:07:12,640 --> 00:07:20,280 Speaker 1: in on us. And and I want to ask you 142 00:07:20,320 --> 00:07:23,000 Speaker 1: how much of this do you think ties into you know, 143 00:07:23,120 --> 00:07:25,640 Speaker 1: in the US a lot of the time when we 144 00:07:25,680 --> 00:07:29,520 Speaker 1: debate healthcare in any respect, people on the left here 145 00:07:29,520 --> 00:07:31,960 Speaker 1: will say, well, we should just have what the what 146 00:07:32,000 --> 00:07:35,040 Speaker 1: the British have with the National Health Service because everything 147 00:07:35,120 --> 00:07:37,840 Speaker 1: is free and it's amazing, and that's the line, and 148 00:07:38,000 --> 00:07:41,000 Speaker 1: my understanding is one that's not particularly true. But also 149 00:07:41,440 --> 00:07:43,680 Speaker 1: how much of of the lockdown do you think was 150 00:07:43,720 --> 00:07:47,680 Speaker 1: pushed by or possible because your government and healthcare service. 151 00:07:47,680 --> 00:07:50,160 Speaker 1: Ours are very much intertwined, more than people realize. But 152 00:07:50,360 --> 00:07:52,200 Speaker 1: yours are one and the same. I mean, the government 153 00:07:52,280 --> 00:07:55,960 Speaker 1: is the NHS and the NHS is the government, right right, 154 00:07:56,080 --> 00:07:58,280 Speaker 1: And so it was push and then we had this 155 00:07:58,360 --> 00:08:00,720 Speaker 1: same where at eight pm on a Thursday, people would 156 00:08:00,720 --> 00:08:03,160 Speaker 1: come out and they would clap for the NHS. Meanwhile, 157 00:08:03,560 --> 00:08:08,040 Speaker 1: the NHS doctors and nurses, we're making TikTok videos. You know, 158 00:08:08,080 --> 00:08:10,280 Speaker 1: they were supposed to be overrun in the hospitals and 159 00:08:10,440 --> 00:08:12,360 Speaker 1: so busy, but they had time to make all these 160 00:08:12,400 --> 00:08:16,240 Speaker 1: like TikTok videos and these dances and people with couses 161 00:08:16,240 --> 00:08:21,360 Speaker 1: and clap for them. And meanwhile they were stopping cancer 162 00:08:21,440 --> 00:08:24,520 Speaker 1: patients from getting their treatments. They were people were too 163 00:08:24,560 --> 00:08:27,280 Speaker 1: afraid to go into the hospitals because of all the 164 00:08:27,400 --> 00:08:31,440 Speaker 1: fear being pumped out. So but having lived in both countries, 165 00:08:31,520 --> 00:08:37,200 Speaker 1: I would say, obviously, private healthcare it's going to be 166 00:08:37,200 --> 00:08:39,400 Speaker 1: a lot better than the NHS. Like the waiting list 167 00:08:39,520 --> 00:08:42,840 Speaker 1: here are crazy. What happens if I want to get in, 168 00:08:42,840 --> 00:08:44,400 Speaker 1: if I want to get knee surgery and I'm living 169 00:08:44,440 --> 00:08:46,680 Speaker 1: in the UK, I'm just like an everyday guy. I 170 00:08:46,720 --> 00:08:49,000 Speaker 1: need to get knee surgery. What's that? Like? How long 171 00:08:49,040 --> 00:08:52,400 Speaker 1: do I wait? Well? Okay, so first of all, you 172 00:08:52,440 --> 00:08:54,719 Speaker 1: need to try and get a doctor's appointment, right, and 173 00:08:54,720 --> 00:08:58,199 Speaker 1: even now it's so impossible. There's like so many backlogs. 174 00:08:58,440 --> 00:09:00,559 Speaker 1: You have to call up at say nine o'clock in 175 00:09:00,640 --> 00:09:03,240 Speaker 1: the morning or eight o'clock in the morning, stay in 176 00:09:03,280 --> 00:09:06,120 Speaker 1: line to try and get an appointment over the phone 177 00:09:06,120 --> 00:09:09,040 Speaker 1: because a lot of doctors still won't even see you, right, 178 00:09:09,080 --> 00:09:12,199 Speaker 1: this is the craziest thing. Yeah, and then there's and 179 00:09:12,600 --> 00:09:15,840 Speaker 1: then you know, and then people can't get their appointments. 180 00:09:15,840 --> 00:09:18,480 Speaker 1: So what they then do is they go into emergency care. 181 00:09:19,040 --> 00:09:21,680 Speaker 1: So like you know your eer, people will go into 182 00:09:21,720 --> 00:09:24,719 Speaker 1: the emergency care because they're not feeling well. So then 183 00:09:24,760 --> 00:09:29,680 Speaker 1: that's overrun, right, So then they've also sacked I think 184 00:09:29,720 --> 00:09:34,000 Speaker 1: they've sacked forty thousand care workers, so not necessarily nurses 185 00:09:34,000 --> 00:09:37,120 Speaker 1: and doctors, but the care workers that care for people 186 00:09:37,600 --> 00:09:42,880 Speaker 1: want they leave hospital, which is then be bedlock the beds, 187 00:09:42,920 --> 00:09:45,760 Speaker 1: so they're filled with people that could go back to 188 00:09:45,800 --> 00:09:48,000 Speaker 1: their house but can't. And this is because of the 189 00:09:48,080 --> 00:09:51,240 Speaker 1: vaccine mandates, right, And that was the only sector actually 190 00:09:51,320 --> 00:09:54,760 Speaker 1: that did vaccine mandates because there were so many protests 191 00:09:54,800 --> 00:09:57,680 Speaker 1: in the UK that they never got round to actually 192 00:09:58,040 --> 00:10:00,840 Speaker 1: mandating it for doctors and nurses. So it is a mess. 193 00:10:01,160 --> 00:10:03,920 Speaker 1: But the one thing about the UK, unlike Canada, is 194 00:10:03,960 --> 00:10:07,240 Speaker 1: you can get private healthcare as well if you want to, 195 00:10:07,520 --> 00:10:10,240 Speaker 1: which you know a lot of people do. So I 196 00:10:10,280 --> 00:10:12,480 Speaker 1: want to ask you about where it all stands now, 197 00:10:12,679 --> 00:10:14,480 Speaker 1: because you started to get into that, like, how is 198 00:10:14,520 --> 00:10:18,120 Speaker 1: the situation when it comes to COVID in the UK. 199 00:10:18,200 --> 00:10:20,240 Speaker 1: I mean here we it felt like we were almost 200 00:10:20,280 --> 00:10:22,200 Speaker 1: about to get masks back on planes again and then 201 00:10:22,200 --> 00:10:24,160 Speaker 1: they backed off of it. But we know it always 202 00:10:24,400 --> 00:10:27,640 Speaker 1: it's always in the back background because these people are lunatics. 203 00:10:27,880 --> 00:10:29,880 Speaker 1: But something else aline it's very important for your health 204 00:10:29,920 --> 00:10:31,560 Speaker 1: is a good night's sleep, and you've got to have 205 00:10:31,600 --> 00:10:34,520 Speaker 1: excellent pillows and sheets to achieve that. 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By the way, and back to health, Leilani, 224 00:11:25,080 --> 00:11:26,680 Speaker 1: what's going on over there now? Do you guys still 225 00:11:26,720 --> 00:11:28,480 Speaker 1: you know no vac joke? Bitch? You and I are 226 00:11:28,559 --> 00:11:31,040 Speaker 1: both been watching the tennis. I saw you tweeting about it. 227 00:11:31,760 --> 00:11:34,160 Speaker 1: I'm a rafa guy personally, a tennis is one of 228 00:11:34,160 --> 00:11:36,040 Speaker 1: the few sports you know. My co host on radio 229 00:11:36,200 --> 00:11:38,360 Speaker 1: loves like all professional sports, tennis is one of the 230 00:11:38,400 --> 00:11:41,000 Speaker 1: only ones I Panny attention to I love Rafa Nadal, 231 00:11:41,559 --> 00:11:43,480 Speaker 1: but I do think that maybe Djokovic is just gonna 232 00:11:43,480 --> 00:11:45,880 Speaker 1: have to be crowned the greatest of all time. He 233 00:11:46,000 --> 00:11:48,360 Speaker 1: may win all three majors this year leading into the 234 00:11:48,440 --> 00:11:53,560 Speaker 1: US Open. He's still cannot actually attend the US Open 235 00:11:53,679 --> 00:11:56,400 Speaker 1: because he has not been vaccinated and the US requires 236 00:11:56,440 --> 00:11:59,720 Speaker 1: non citizens to be vaccinated before they come in. How 237 00:12:00,000 --> 00:12:02,280 Speaker 1: crazy and stupid kin things get before they have to relent? 238 00:12:02,360 --> 00:12:05,360 Speaker 1: What do you think? I don't know. I have no 239 00:12:05,440 --> 00:12:08,439 Speaker 1: idea what Biden's thinking are the administration. I have no 240 00:12:08,559 --> 00:12:11,520 Speaker 1: clue what is going on, and it blows my mind. Luckily, 241 00:12:11,559 --> 00:12:13,240 Speaker 1: I'm a dual citizen, so if I want to go 242 00:12:13,280 --> 00:12:16,520 Speaker 1: back to America, I can, But to think that so 243 00:12:16,559 --> 00:12:18,960 Speaker 1: many of my friends can't, and a lot of them 244 00:12:19,520 --> 00:12:22,440 Speaker 1: can't leave Los Angeles because they can't get back in. 245 00:12:22,559 --> 00:12:24,720 Speaker 1: They can't, you know, they can't go home and see 246 00:12:24,720 --> 00:12:27,160 Speaker 1: their parents. They haven't seen their families in you know, 247 00:12:27,280 --> 00:12:30,640 Speaker 1: three years. A lot of my takes pat phones out there. 248 00:12:30,640 --> 00:12:35,560 Speaker 1: They can't get back into the country. So it's it's 249 00:12:35,640 --> 00:12:38,040 Speaker 1: so insane to me, and to think that this is 250 00:12:38,080 --> 00:12:41,160 Speaker 1: all supposed to be about health. You know, this is 251 00:12:41,200 --> 00:12:44,360 Speaker 1: like the fittest guy on the planet and probably and 252 00:12:44,400 --> 00:12:48,640 Speaker 1: he can't get into America. It's it's madness, um. But here, 253 00:12:48,880 --> 00:12:52,440 Speaker 1: like I said, so tell me, tell me what's going 254 00:12:52,440 --> 00:12:54,200 Speaker 1: on in the UK with regard to these policies. Do 255 00:12:54,240 --> 00:12:58,560 Speaker 1: they still have some lingering COVID lunacy So there's no 256 00:12:58,640 --> 00:13:02,320 Speaker 1: mandates there. They actually never got round to doing vaccine 257 00:13:02,320 --> 00:13:05,560 Speaker 1: mandates for any jobs other than the care the care 258 00:13:05,640 --> 00:13:08,480 Speaker 1: workers because of all the protests that went on, because 259 00:13:08,520 --> 00:13:10,959 Speaker 1: there would have been massive strikes in the NHS and 260 00:13:11,320 --> 00:13:13,600 Speaker 1: all sorts. And as I said, the NHS is like 261 00:13:13,720 --> 00:13:20,040 Speaker 1: really overloaded, so they didn't do that. You do see 262 00:13:20,120 --> 00:13:23,760 Speaker 1: some people still wandering around in masks, and it blows 263 00:13:23,840 --> 00:13:28,160 Speaker 1: my mind. And usually they're kind of very unhealthy looking people, 264 00:13:28,320 --> 00:13:30,360 Speaker 1: and I think to myself, God, you know, you've had 265 00:13:30,440 --> 00:13:33,080 Speaker 1: three years to take care of your health, but you 266 00:13:33,160 --> 00:13:37,400 Speaker 1: choose a mask instead. But a lot is coming out 267 00:13:37,520 --> 00:13:41,560 Speaker 1: in the newspapers as well. Just today it's been announced 268 00:13:41,559 --> 00:13:45,360 Speaker 1: that apparently they had sections of the army actually looking 269 00:13:45,520 --> 00:13:50,000 Speaker 1: at the social media of people they considered lockdown skeptics 270 00:13:50,360 --> 00:13:55,120 Speaker 1: or antibaxes, so you know, like kind of the Twitter files. 271 00:13:55,200 --> 00:13:59,640 Speaker 1: How your government was involved our army is being said 272 00:13:59,679 --> 00:14:03,160 Speaker 1: to be involved, so obviously that's the government, the seventy 273 00:14:03,160 --> 00:14:09,000 Speaker 1: seventh Brigade fighting disinformation. So this is astonishing. So your 274 00:14:09,720 --> 00:14:15,080 Speaker 1: military intelligence in the UK was looking at COVID dissidence 275 00:14:15,760 --> 00:14:19,840 Speaker 1: as a possible I assume health and therefore safety threat. 276 00:14:19,880 --> 00:14:23,720 Speaker 1: And wasn't Peter Hitchins, the brother of the late Christians Hichens, 277 00:14:23,800 --> 00:14:27,960 Speaker 1: on that list. Yes, yes he was, Yeah he was, 278 00:14:28,000 --> 00:14:30,640 Speaker 1: which is weird because he writes for the Daily Mail. 279 00:14:31,560 --> 00:14:34,120 Speaker 1: And I actually had a really bad hit piece done 280 00:14:34,120 --> 00:14:37,400 Speaker 1: on me by the Daily Mail and a journalist called 281 00:14:37,400 --> 00:14:40,240 Speaker 1: me up and she asked me my thoughts on Jock 282 00:14:40,320 --> 00:14:42,640 Speaker 1: Fitch when this was like a year ago, right when 283 00:14:42,640 --> 00:14:44,880 Speaker 1: he wasn't going to be allowed into Australia or he 284 00:14:44,920 --> 00:14:47,760 Speaker 1: was going to be deported, and I think the word 285 00:14:47,800 --> 00:14:50,800 Speaker 1: refuse nick was going round, so I called myself a 286 00:14:50,920 --> 00:14:53,720 Speaker 1: proud refuse Nick and she asked me about it. That 287 00:14:53,960 --> 00:14:58,000 Speaker 1: night my Instagram got taken down, which is probably where 288 00:14:58,000 --> 00:15:01,200 Speaker 1: you saw me because prior to it being taken down, 289 00:15:01,760 --> 00:15:06,040 Speaker 1: I was mainly on Instagram and not Twitter. But yeah, 290 00:15:06,080 --> 00:15:08,600 Speaker 1: the night that she called me for a quote, my 291 00:15:08,760 --> 00:15:11,800 Speaker 1: Instagram went down, So I think there were journalists kind 292 00:15:11,800 --> 00:15:17,040 Speaker 1: of ratting out people as well. So yeah, it's amazing. 293 00:15:18,400 --> 00:15:21,000 Speaker 1: They're supposed to be standing athwart the power of the 294 00:15:21,120 --> 00:15:23,320 Speaker 1: state and standing on the side of the people against 295 00:15:23,320 --> 00:15:27,000 Speaker 1: concentrations of power. We saw throughout COVID in all Western 296 00:15:27,040 --> 00:15:31,240 Speaker 1: societies the exact opposite of that that the journalistic enterprise, 297 00:15:31,360 --> 00:15:36,000 Speaker 1: journalistic apparatus was used entirely as really with a few exceptions, 298 00:15:36,040 --> 00:15:39,760 Speaker 1: but as an enforcement mechanism. And I mean I've had 299 00:15:39,800 --> 00:15:42,280 Speaker 1: I had hit pieces written on me too about things 300 00:15:42,320 --> 00:15:44,200 Speaker 1: like I actually had a hit piece written on me 301 00:15:44,240 --> 00:15:47,720 Speaker 1: by a political fact checking organization because I said that 302 00:15:47,800 --> 00:15:50,800 Speaker 1: masks outside outside or I mean inside is ridiculous too, 303 00:15:50,800 --> 00:15:53,520 Speaker 1: but outside you're completely out of your mind. They're like, no, 304 00:15:53,600 --> 00:15:55,920 Speaker 1: they're still dispute about this. It's not true to say that. 305 00:15:56,280 --> 00:15:58,080 Speaker 1: And what's amazing is no one ever goes back and 306 00:15:58,160 --> 00:16:00,200 Speaker 1: changes or corrects any of this. So it really does 307 00:16:00,240 --> 00:16:03,880 Speaker 1: have kind of a Soviet feel. I mean the Daily Mail. Wait, 308 00:16:03,920 --> 00:16:06,000 Speaker 1: the Daily Mail came out. I would assume the Guardian 309 00:16:06,040 --> 00:16:07,840 Speaker 1: would come after you, but I expect more from the 310 00:16:07,920 --> 00:16:11,040 Speaker 1: Daily Mail. Yeah, no, it was the Daily Mail. The 311 00:16:11,080 --> 00:16:13,200 Speaker 1: Mail on Sunday, which is part of the Daily Mail 312 00:16:13,280 --> 00:16:16,320 Speaker 1: but yeah, no, I think they did it about a 313 00:16:16,320 --> 00:16:19,400 Speaker 1: few people. Actually it was the people on social media 314 00:16:19,560 --> 00:16:25,480 Speaker 1: have a presence that apparently we're causing vaccine hesitancy and 315 00:16:25,600 --> 00:16:31,360 Speaker 1: we're causing people to die. Basically how the article went, Yeah, 316 00:16:31,360 --> 00:16:33,920 Speaker 1: you were killing grandma. It turns out I over here 317 00:16:33,960 --> 00:16:36,000 Speaker 1: in the US was killing grandma as well, when I 318 00:16:36,040 --> 00:16:39,320 Speaker 1: was pointing out that telling people to stay home for 319 00:16:39,360 --> 00:16:41,440 Speaker 1: a finite period of time before they have to go 320 00:16:41,520 --> 00:16:45,000 Speaker 1: back to some semblance of normal life, and also only 321 00:16:45,040 --> 00:16:47,920 Speaker 1: telling about thirty percent of people who work that they 322 00:16:47,920 --> 00:16:50,760 Speaker 1: should stay home while everybody else is essential, so they 323 00:16:50,840 --> 00:16:54,040 Speaker 1: keep going to work and getting sick and spreading the virus. Anyway, 324 00:16:54,280 --> 00:16:57,760 Speaker 1: this was an idea that was beyond lunacy. And one 325 00:16:57,800 --> 00:17:01,480 Speaker 1: thing that I find has been troublingly is that they 326 00:17:01,480 --> 00:17:04,399 Speaker 1: were wrong about everything. And yet I feel like everybody 327 00:17:04,400 --> 00:17:07,000 Speaker 1: who pushed the stuff, they act like everything's fine, like 328 00:17:07,080 --> 00:17:09,639 Speaker 1: they got it right and we just move forward. And 329 00:17:09,680 --> 00:17:12,000 Speaker 1: I'm seeing here, I'm still pissed off. I have not 330 00:17:12,119 --> 00:17:15,639 Speaker 1: let this go at all. Maybe that's no I agree 331 00:17:15,680 --> 00:17:18,399 Speaker 1: with you. I mean, when you see people like you know, 332 00:17:18,560 --> 00:17:20,439 Speaker 1: I don't know if you know who Pierce Morgan is 333 00:17:20,440 --> 00:17:26,480 Speaker 1: out viewers, right, So he was their trial that came 334 00:17:26,520 --> 00:17:29,480 Speaker 1: out of his mouth like he was an establishment mask 335 00:17:29,600 --> 00:17:35,159 Speaker 1: foucy guy, wasn't he? I'm sure Piers just evil and 336 00:17:35,440 --> 00:17:38,359 Speaker 1: he just went, well, you know, when the facts changed, 337 00:17:38,560 --> 00:17:42,000 Speaker 1: my opinion changed, as though I was like, hold on 338 00:17:42,040 --> 00:17:46,600 Speaker 1: a minute, Pierce, Facts don't change. Opinions always change. Science changes. 339 00:17:46,680 --> 00:17:49,280 Speaker 1: That's the whole thing. Like you know all these people 340 00:17:49,359 --> 00:17:53,000 Speaker 1: that say trust the science. Science is evolving. It's not 341 00:17:53,080 --> 00:17:56,760 Speaker 1: like mathematics where it's set right. So it's like what 342 00:17:56,920 --> 00:18:00,920 Speaker 1: Pierce Morgan says, when the facts changed, No, facts are facts. 343 00:18:01,000 --> 00:18:03,560 Speaker 1: Facts don't change. You just never had the facts right 344 00:18:03,600 --> 00:18:05,520 Speaker 1: and you weren't prepared to listen to the facts. And 345 00:18:06,160 --> 00:18:08,200 Speaker 1: that's the thing. And it's all coming out. It's kind 346 00:18:08,240 --> 00:18:11,040 Speaker 1: of like it's it's change because it's all dripping out 347 00:18:10,800 --> 00:18:16,159 Speaker 1: in little bits and I don't know whether facts because 348 00:18:17,640 --> 00:18:19,880 Speaker 1: they have to do it that way because if everyone 349 00:18:20,000 --> 00:18:22,960 Speaker 1: finds out that if the people that you know, believed 350 00:18:23,320 --> 00:18:27,320 Speaker 1: what the mainstream were saying and believed what our politicians 351 00:18:27,320 --> 00:18:30,560 Speaker 1: were saying, if they've found out the lies that went 352 00:18:30,640 --> 00:18:33,040 Speaker 1: on all at once, I don't know what would happen. 353 00:18:33,119 --> 00:18:35,439 Speaker 1: You know, it would just be so explosive that I 354 00:18:35,520 --> 00:18:37,640 Speaker 1: think they have to like just drip feed out these 355 00:18:37,680 --> 00:18:40,359 Speaker 1: little bits and bobs. I have said that to friends, 356 00:18:40,400 --> 00:18:43,400 Speaker 1: by the way, that I one argument that I don't 357 00:18:43,440 --> 00:18:47,760 Speaker 1: think is I think it's partially correct. Is that a 358 00:18:47,880 --> 00:18:53,640 Speaker 1: full accounting for how wrong the CDC and how honestly 359 00:18:53,720 --> 00:18:57,679 Speaker 1: useless and even counterproductive it was the only argument I 360 00:18:57,680 --> 00:19:01,160 Speaker 1: could have or I can listen to against basically tear 361 00:19:01,160 --> 00:19:03,320 Speaker 1: it down to the studs and it's a complete disaster. 362 00:19:03,600 --> 00:19:07,600 Speaker 1: Is you know the CDC does you know, provide funding 363 00:19:07,720 --> 00:19:11,240 Speaker 1: for some you know, for you know, HIV research, and 364 00:19:11,440 --> 00:19:14,120 Speaker 1: it does things that that are are worthwhile and when 365 00:19:14,119 --> 00:19:17,640 Speaker 1: it tells people to uh, you know that there's some 366 00:19:17,680 --> 00:19:19,960 Speaker 1: health aspects that it shairs, not very many, but that 367 00:19:20,040 --> 00:19:22,600 Speaker 1: are good. Basically, what I'm saying is I worry that 368 00:19:22,600 --> 00:19:25,520 Speaker 1: people won't believe the CDC now on almost anything right. 369 00:19:25,520 --> 00:19:27,760 Speaker 1: I mean, that's the only argument against doing a full 370 00:19:27,800 --> 00:19:30,560 Speaker 1: breakdown of everything that got wrong is then people won't 371 00:19:30,560 --> 00:19:32,680 Speaker 1: listen to them about anything, including some of the things 372 00:19:32,680 --> 00:19:35,120 Speaker 1: that they say are are true. I don't know if 373 00:19:35,119 --> 00:19:37,199 Speaker 1: that's a feeling you have in the UK too, But 374 00:19:37,320 --> 00:19:40,959 Speaker 1: because the CDC here was an abject disaster. I mean absolutely, 375 00:19:41,000 --> 00:19:44,159 Speaker 1: the standard for disease control got everything wrong, especially the 376 00:19:44,240 --> 00:19:48,080 Speaker 1: vaccine stuff. And that's the funny thing, isn't it. It's 377 00:19:48,119 --> 00:19:52,000 Speaker 1: like people, I think they depend on people forgetting and 378 00:19:52,080 --> 00:19:55,199 Speaker 1: the short memory people have. So you know, it was 379 00:19:55,359 --> 00:20:00,119 Speaker 1: within like six months of Biden saying literally by and 380 00:20:00,240 --> 00:20:05,359 Speaker 1: said this will stop the spread. It will stop the spread, 381 00:20:05,400 --> 00:20:08,159 Speaker 1: Rachel Matter was saying, the virus will stop here, that's it. 382 00:20:08,200 --> 00:20:11,280 Speaker 1: Take the vaccine, the virus stops. Then next thing, like 383 00:20:11,320 --> 00:20:13,720 Speaker 1: six months later, it's like, no one said it stops 384 00:20:13,760 --> 00:20:16,879 Speaker 1: the virus. It just makes your symptoms less. It's like, no, 385 00:20:17,119 --> 00:20:19,719 Speaker 1: wait a minute, but they did say that, and they 386 00:20:19,840 --> 00:20:21,600 Speaker 1: kind of said that was going to be our only 387 00:20:21,680 --> 00:20:26,200 Speaker 1: way out of lockdown. And so they depend on people 388 00:20:26,280 --> 00:20:28,880 Speaker 1: forgetting a lot of it, and you know, forgetting their 389 00:20:28,920 --> 00:20:32,000 Speaker 1: anger as well that they had. Yeah, I think and 390 00:20:32,080 --> 00:20:34,840 Speaker 1: I think you're right, and I think you're right as well. 391 00:20:34,880 --> 00:20:38,159 Speaker 1: I think that it will make people really skeptical. I 392 00:20:38,160 --> 00:20:40,800 Speaker 1: mean there's people now that are going to be skeptical 393 00:20:40,880 --> 00:20:43,960 Speaker 1: of the old fashioned vaccines, not the mRNA vaccines. There 394 00:20:44,000 --> 00:20:45,720 Speaker 1: are people that are going to be skeptical of all 395 00:20:45,840 --> 00:20:49,840 Speaker 1: vaccines now because they pushed this one so hard. There's 396 00:20:49,840 --> 00:20:52,040 Speaker 1: going to be people that are going to be very, 397 00:20:52,119 --> 00:20:57,119 Speaker 1: very skeptical of big farm and probably you know rightly 398 00:20:57,200 --> 00:21:00,320 Speaker 1: so to some extent that they don't believe everything they 399 00:21:00,359 --> 00:21:04,040 Speaker 1: get told in the future. Yes, I think the medical 400 00:21:04,160 --> 00:21:07,919 Speaker 1: establishment also is suffering from and this is really I 401 00:21:07,920 --> 00:21:10,199 Speaker 1: think a bigger problem than even the CDC or what 402 00:21:10,280 --> 00:21:12,960 Speaker 1: you'd see with the NIH and the credibility of the 403 00:21:13,080 --> 00:21:16,440 Speaker 1: entity that the medical field is in a point now 404 00:21:16,480 --> 00:21:20,119 Speaker 1: where I think out of either habit or hubrists, I 405 00:21:20,119 --> 00:21:22,840 Speaker 1: don't really know what the mentality is. It's pushing it. 406 00:21:23,800 --> 00:21:26,920 Speaker 1: Doctor's office is, for example, in New York City, where 407 00:21:26,960 --> 00:21:28,520 Speaker 1: I spend a lot of my time and where I'm from, 408 00:21:28,520 --> 00:21:31,399 Speaker 1: originally they require you to wear a mask. Still, you 409 00:21:31,440 --> 00:21:33,200 Speaker 1: can't go into any doctor's office in New York City 410 00:21:33,200 --> 00:21:35,639 Speaker 1: without a mask on our. Same thing with hospitals. And 411 00:21:35,680 --> 00:21:38,720 Speaker 1: I'm sitting here saying, guys, this was all crap, right, 412 00:21:38,760 --> 00:21:41,560 Speaker 1: you know this, And apparently they don't or they're unwilling 413 00:21:41,600 --> 00:21:44,840 Speaker 1: to admit it. It's it makes no sense. And it's 414 00:21:44,880 --> 00:21:46,639 Speaker 1: a year round rule too. It's not even like a 415 00:21:46,720 --> 00:21:49,720 Speaker 1: seasonal flu covid thing. They're just like, no masks. We 416 00:21:49,760 --> 00:21:55,520 Speaker 1: all mask. Now that's what health means. You're so shocking 417 00:21:55,560 --> 00:21:58,000 Speaker 1: to me because like, is it going back to angel now? 418 00:21:58,040 --> 00:22:03,359 Speaker 1: I feel like people, although they won't apologize, they see 419 00:22:03,440 --> 00:22:08,520 Speaker 1: that it's complete enough to madness. And so yeah, it's 420 00:22:08,960 --> 00:22:11,960 Speaker 1: rare that you see anybody in a mask anymore. Yeah, 421 00:22:12,000 --> 00:22:15,080 Speaker 1: I feel like in America it got very political. It 422 00:22:15,280 --> 00:22:19,520 Speaker 1: was like it was so political. It was a sign 423 00:22:19,520 --> 00:22:22,920 Speaker 1: of who your affiliation was with politically by wearing one 424 00:22:23,000 --> 00:22:26,480 Speaker 1: or not. It was so it was so strange. Yeah, 425 00:22:26,520 --> 00:22:29,280 Speaker 1: did your devotion in America to the mask? I mean, 426 00:22:29,320 --> 00:22:31,520 Speaker 1: first of all, there were people who literally were wearing 427 00:22:31,560 --> 00:22:33,840 Speaker 1: I voted for Biden masks and things like that or 428 00:22:33,920 --> 00:22:36,520 Speaker 1: being a Biden twenty twenty so, and it was all 429 00:22:36,680 --> 00:22:40,880 Speaker 1: you Democrats were very pro mask. It became an entirely 430 00:22:41,520 --> 00:22:44,840 Speaker 1: political bifurcation. Which side of this are are you one? 431 00:22:45,200 --> 00:22:48,399 Speaker 1: And that that was troubling to me. But but also 432 00:22:48,960 --> 00:22:51,840 Speaker 1: I was saying for months on Twitter, guys, just give 433 00:22:51,880 --> 00:22:54,680 Speaker 1: it time. There Fauci's going to say, actually, we need 434 00:22:54,680 --> 00:22:57,439 Speaker 1: a double mask because the data will be so clear 435 00:22:58,000 --> 00:23:00,959 Speaker 1: that cloth masks are worthless. And sure enough, and then 436 00:23:01,000 --> 00:23:03,440 Speaker 1: I was retweeting my tweet from three months because saying, Hey, 437 00:23:03,520 --> 00:23:05,800 Speaker 1: I don't have a medical degree, but how did I 438 00:23:05,840 --> 00:23:07,600 Speaker 1: know that they were going to say that double masking 439 00:23:07,680 --> 00:23:11,520 Speaker 1: was necessary because obviously there was a failure and there 440 00:23:11,600 --> 00:23:13,199 Speaker 1: was a point there was a brief moment where they 441 00:23:13,200 --> 00:23:15,560 Speaker 1: started talking about goggles. I don't know if you saw this, 442 00:23:15,960 --> 00:23:19,919 Speaker 1: but they were say yes, because the virus could go 443 00:23:19,920 --> 00:23:22,520 Speaker 1: in your eyes. Like, I remember all this stuff, and 444 00:23:22,600 --> 00:23:24,560 Speaker 1: yet I still come across people. A lot of people 445 00:23:24,560 --> 00:23:27,679 Speaker 1: on planes in the US will still voluntarily mask. And 446 00:23:27,720 --> 00:23:30,120 Speaker 1: the thing about them that bothers me, I'm actually I'm 447 00:23:30,119 --> 00:23:32,840 Speaker 1: contemptuous of it. I don't I'm not like, oh, that's okay. 448 00:23:33,240 --> 00:23:34,760 Speaker 1: Because we went through the they didn't want to live 449 00:23:34,760 --> 00:23:37,679 Speaker 1: and let live. If they could, and the Biden administration 450 00:23:37,720 --> 00:23:39,960 Speaker 1: had the power here again, they would reinstitute the mask 451 00:23:40,080 --> 00:23:42,880 Speaker 1: on plane rule for everybody, which is crazy, not only 452 00:23:42,880 --> 00:23:46,480 Speaker 1: because masks don't work. The CEOs of the airlines in 453 00:23:46,480 --> 00:23:49,680 Speaker 1: this country have all come out to say our hepiphiltration 454 00:23:49,760 --> 00:23:53,280 Speaker 1: systems on planes go down to the level of virus particles. 455 00:23:53,440 --> 00:23:56,920 Speaker 1: The cleanest air that people are breathing anywhere in their 456 00:23:56,960 --> 00:23:59,919 Speaker 1: life in a congregate setting, as Fauci would say, is 457 00:24:00,040 --> 00:24:02,800 Speaker 1: on airplanes. So the place with the most concentration of 458 00:24:02,880 --> 00:24:05,879 Speaker 1: masking scientifically for a place where there's a lot of people, 459 00:24:06,160 --> 00:24:10,040 Speaker 1: so bars, restaurants, workplace is the safest place, and that's 460 00:24:10,040 --> 00:24:11,280 Speaker 1: where they wear a mask. And I just feel like 461 00:24:11,320 --> 00:24:14,560 Speaker 1: that's a perfect encapsulation of the madness. I lost friends 462 00:24:14,560 --> 00:24:17,200 Speaker 1: over this too, by the way, did you, Yeah, no, 463 00:24:17,520 --> 00:24:20,760 Speaker 1: it's crazy. I lost I think I lost half my friends. 464 00:24:20,800 --> 00:24:23,720 Speaker 1: I really it's so mad. But I've got to say, 465 00:24:23,800 --> 00:24:27,240 Speaker 1: we didn't have the double masking in the UK. So 466 00:24:27,359 --> 00:24:29,880 Speaker 1: when I saw it, I did take a tip about 467 00:24:29,960 --> 00:24:32,080 Speaker 1: to Los Angeles and I saw it for the first time. 468 00:24:32,200 --> 00:24:33,919 Speaker 1: I was just like I had to take a picture 469 00:24:33,960 --> 00:24:35,679 Speaker 1: and send it to my friends and back in the 470 00:24:35,760 --> 00:24:38,560 Speaker 1: UK and say, oh my gosh, this is really real, 471 00:24:38,720 --> 00:24:42,800 Speaker 1: Like people are walking down the street double masks. And 472 00:24:42,840 --> 00:24:45,520 Speaker 1: I mean in the UK, so people would only have 473 00:24:45,560 --> 00:24:47,200 Speaker 1: to wear them in the shops. You never actually had 474 00:24:47,240 --> 00:24:51,840 Speaker 1: to wear them outside on the street. And you could 475 00:24:51,840 --> 00:24:55,280 Speaker 1: also self exempt yourself. So I gave myself an exemption. 476 00:24:55,320 --> 00:24:57,080 Speaker 1: I was just and I didn't even have to prove it. 477 00:24:57,119 --> 00:24:59,240 Speaker 1: I could go into a shop and say I'm exempt 478 00:24:59,280 --> 00:25:02,960 Speaker 1: and they had to accept that as an exemption, but 479 00:25:03,000 --> 00:25:06,120 Speaker 1: there were so You'd see people and they would pull 480 00:25:06,160 --> 00:25:08,920 Speaker 1: out a dirty mask from their purse, put it on, 481 00:25:09,600 --> 00:25:12,480 Speaker 1: walk around the shop, take it off, shove it in 482 00:25:12,520 --> 00:25:16,480 Speaker 1: their bag, and it's it was so stupid, And I 483 00:25:16,560 --> 00:25:19,040 Speaker 1: laugh about it now. I was so Like I said before, 484 00:25:19,119 --> 00:25:24,080 Speaker 1: I it made me physically ill. I've got such anxiety 485 00:25:24,240 --> 00:25:26,320 Speaker 1: from it. And I've never been an anxious person, but 486 00:25:26,359 --> 00:25:29,520 Speaker 1: I always know that, you know, you've got to listen to, 487 00:25:29,600 --> 00:25:32,240 Speaker 1: like your guts and your intuition, and it was just 488 00:25:32,320 --> 00:25:34,840 Speaker 1: telling me the whole thing was wrong. Right, So I 489 00:25:34,920 --> 00:25:36,760 Speaker 1: laugh about it now, and I'm glad I can laugh 490 00:25:36,760 --> 00:25:40,560 Speaker 1: about it now because the whole thing was just so absurd. 491 00:25:40,680 --> 00:25:43,680 Speaker 1: It was just so ridiculous. I'm so absurd, and none 492 00:25:43,680 --> 00:25:45,840 Speaker 1: of it made sense. I went to a restaurant at 493 00:25:45,880 --> 00:25:48,000 Speaker 1: one point in New York City and I sat down 494 00:25:48,040 --> 00:25:52,760 Speaker 1: with a friend and you had the rule. And again 495 00:25:52,760 --> 00:25:54,560 Speaker 1: I don't know if you're the same. The rule was 496 00:25:55,000 --> 00:25:57,320 Speaker 1: you had to wear the mask for the trip from 497 00:25:57,400 --> 00:26:00,360 Speaker 1: the door of the restaurant to the table, and then 498 00:26:00,359 --> 00:26:01,879 Speaker 1: take the mask off for the whole meal. You do 499 00:26:01,960 --> 00:26:03,800 Speaker 1: not have to mask up between bites during the meal. 500 00:26:04,640 --> 00:26:07,280 Speaker 1: But I sat down at this restaurant, and this is 501 00:26:07,359 --> 00:26:10,600 Speaker 1: maybe June of twenty twenty one. I would think something 502 00:26:10,640 --> 00:26:14,359 Speaker 1: like that. I sit down in this restaurant and the 503 00:26:14,400 --> 00:26:16,600 Speaker 1: manager comes running over and says, excuse me, sir, could 504 00:26:16,600 --> 00:26:19,760 Speaker 1: you pull your mask up? And I said, well, but 505 00:26:19,840 --> 00:26:22,080 Speaker 1: I'm sitting like this is the rules are? You know 506 00:26:22,119 --> 00:26:23,760 Speaker 1: I can't eat through a mask, So the rules are 507 00:26:23,760 --> 00:26:25,760 Speaker 1: I'm sitting and he goes, no, no, no, here, we 508 00:26:25,880 --> 00:26:28,480 Speaker 1: request that until you've ordered your until you've at least 509 00:26:28,560 --> 00:26:31,600 Speaker 1: ordered a drink or food, you continue to mask at 510 00:26:31,600 --> 00:26:33,960 Speaker 1: the table. And I'll never forget. I pointed there was 511 00:26:33,960 --> 00:26:35,639 Speaker 1: a glass of water on the table already, and I 512 00:26:35,680 --> 00:26:38,600 Speaker 1: said that's a drink, isn't it. And his face was just, 513 00:26:38,720 --> 00:26:42,160 Speaker 1: you know, cannot compute. Yeah, so the water doesn't count. 514 00:26:42,240 --> 00:26:45,720 Speaker 1: I order a beer and that's okay. The COVID won't come, 515 00:26:46,000 --> 00:26:49,800 Speaker 1: but the water does it. People. I it changed my 516 00:26:49,880 --> 00:26:54,120 Speaker 1: view of humanity, honestly, and it's in a pretty scary way. 517 00:26:54,480 --> 00:26:56,320 Speaker 1: And with the vaccines, the same thing. I mean, you 518 00:26:56,320 --> 00:26:59,399 Speaker 1: had people that were cheering for folks to get fired 519 00:26:59,400 --> 00:27:02,800 Speaker 1: from their jobs for something that was that was a 520 00:27:02,840 --> 00:27:04,919 Speaker 1: complete failure and that never worked the way that they 521 00:27:04,960 --> 00:27:06,560 Speaker 1: told us it would it would work, and none of 522 00:27:06,600 --> 00:27:09,159 Speaker 1: them seem sorry. I've seen one guy, he's actually an 523 00:27:09,160 --> 00:27:13,280 Speaker 1: Australian fitness influencer, who did a true Maya Colpa like, 524 00:27:13,359 --> 00:27:16,960 Speaker 1: I'm sorry to all my fans. I was way too 525 00:27:17,000 --> 00:27:19,480 Speaker 1: trusting and got all this wrong. Have you seen anybody 526 00:27:19,480 --> 00:27:22,120 Speaker 1: who's really come out and said, look, I was a jackass, 527 00:27:22,440 --> 00:27:26,480 Speaker 1: my bad. No, do you know what? Actually, I've not 528 00:27:26,560 --> 00:27:29,000 Speaker 1: seen anyone publicly in the public eye do it. But 529 00:27:29,240 --> 00:27:32,280 Speaker 1: I think it was last weekend. I had my first 530 00:27:32,359 --> 00:27:36,200 Speaker 1: person say somebody that. It was a friend of mine's 531 00:27:36,240 --> 00:27:38,480 Speaker 1: husband and we'd go out for dinner and he'd say, 532 00:27:38,520 --> 00:27:42,280 Speaker 1: I just want every unvaccinated person in my company fired, 533 00:27:42,400 --> 00:27:44,840 Speaker 1: blah blah blah, and I had a whole my tongue 534 00:27:44,840 --> 00:27:46,639 Speaker 1: because I thought we're going to blow up and have 535 00:27:46,720 --> 00:27:50,160 Speaker 1: a huge argument in a restaurant and this is so inappropriate. 536 00:27:50,640 --> 00:27:53,600 Speaker 1: So he actually messaged me and he said, you know what, 537 00:27:54,400 --> 00:27:57,800 Speaker 1: I've listened to this podcast and I've been doing a 538 00:27:57,840 --> 00:28:01,560 Speaker 1: bit of research and I've on a completely nutter one 539 00:28:01,680 --> 00:28:05,840 Speaker 1: eighty and I complete against So that was the first one. 540 00:28:05,960 --> 00:28:10,199 Speaker 1: That's my first one. But that wasn't a friend. I 541 00:28:10,320 --> 00:28:13,040 Speaker 1: lost it just became like we stopped kind of hanging 542 00:28:13,080 --> 00:28:16,800 Speaker 1: out as helps anymore because it just got really awkward. 543 00:28:17,920 --> 00:28:19,800 Speaker 1: But it's it's kind of good. So that was my 544 00:28:19,960 --> 00:28:22,840 Speaker 1: that's my first one. But nothing I've not really seen 545 00:28:22,920 --> 00:28:28,520 Speaker 1: anyone publicly, although actually I'm wrong. There was a there 546 00:28:28,560 --> 00:28:33,200 Speaker 1: was an MP who came out and said that he's 547 00:28:33,280 --> 00:28:36,560 Speaker 1: now vaccine injured. And he came out and he said, 548 00:28:36,600 --> 00:28:39,080 Speaker 1: I think we should have a halt in a suspension 549 00:28:39,200 --> 00:28:42,280 Speaker 1: of the vaccines until we find out what's going on. 550 00:28:43,600 --> 00:28:46,160 Speaker 1: And he actually said this is the craziest thing. He 551 00:28:46,200 --> 00:28:50,120 Speaker 1: actually got suspended because he said, and he quoted in 552 00:28:50,120 --> 00:28:51,720 Speaker 1: his quote, he said, I think this is one of 553 00:28:51,720 --> 00:28:56,160 Speaker 1: the worst crimes against humanity since the Holocaust. Now he 554 00:28:56,160 --> 00:28:59,120 Speaker 1: didn't compare it to the Holocaust. He didn't say it 555 00:28:59,320 --> 00:29:03,120 Speaker 1: as bad as or worse than. He just said since 556 00:29:03,680 --> 00:29:06,400 Speaker 1: and so he got called anti semitic. They said that's 557 00:29:06,400 --> 00:29:10,960 Speaker 1: an anti semitic slur, and he's got suspended from his 558 00:29:11,080 --> 00:29:14,120 Speaker 1: job as an MP, as name as Andrew Bridging. So 559 00:29:14,600 --> 00:29:17,520 Speaker 1: and he was actually just quoting somebody. So this is 560 00:29:17,520 --> 00:29:21,200 Speaker 1: the most So there is still insanity going on in 561 00:29:21,240 --> 00:29:24,360 Speaker 1: the UK. But he was somebody that came out I mean, actually, 562 00:29:24,400 --> 00:29:27,800 Speaker 1: there's a doctor, a Sema Holtra who I think on 563 00:29:27,840 --> 00:29:30,520 Speaker 1: the early days advised people to take the jobs who 564 00:29:31,280 --> 00:29:36,720 Speaker 1: father died after having one. And he's done a peer 565 00:29:36,720 --> 00:29:38,680 Speaker 1: reviewed study and all sorts and he's come out and 566 00:29:38,760 --> 00:29:42,640 Speaker 1: said it. So there's there's maybe a little handful of people. 567 00:29:43,600 --> 00:29:45,520 Speaker 1: So we'll come back to this in just a second. 568 00:29:45,600 --> 00:29:47,600 Speaker 1: I want to ask everybody out there if they've tried 569 00:29:47,680 --> 00:29:52,160 Speaker 1: American Giants incredibly comfortable clothing, especially the hoodies. 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They obsess over every 579 00:30:16,960 --> 00:30:19,320 Speaker 1: detail and it's more than just hoodies, by the way, 580 00:30:19,320 --> 00:30:23,000 Speaker 1: They've got flannel sweaters, joggers, tank sweatpants every day down them. 581 00:30:23,040 --> 00:30:25,280 Speaker 1: You name it. If you want comfortable clothing, they've got 582 00:30:25,360 --> 00:30:27,840 Speaker 1: it for you. Revamp your wardrobe this year with the 583 00:30:27,880 --> 00:30:32,040 Speaker 1: Relax Classic full Zipputtie at American Giant American dash Giant 584 00:30:32,120 --> 00:30:36,120 Speaker 1: dot com. That's American Dash Giant dot Com. You'll get 585 00:30:36,120 --> 00:30:38,240 Speaker 1: twenty percent off when you use my name Buck buc 586 00:30:38,440 --> 00:30:42,120 Speaker 1: k at checkout American Dashgiant dot Com promo code Buck. 587 00:30:42,840 --> 00:30:44,920 Speaker 1: So Leilani, you tell us a little bit about Jilo. 588 00:30:45,120 --> 00:30:47,040 Speaker 1: Where did you grow up in the UK? I know 589 00:30:47,080 --> 00:30:51,320 Speaker 1: you ended up being on you know you're a public person, 590 00:30:51,600 --> 00:30:55,360 Speaker 1: right you now do GB News and you've done you 591 00:30:55,360 --> 00:30:58,160 Speaker 1: are in the Real Housewives of Cheshire, which I assume 592 00:30:58,240 --> 00:31:00,400 Speaker 1: is a very pot The Real Housewive shows the US 593 00:31:00,440 --> 00:31:02,840 Speaker 1: are wildly popular, so I assume in the UK a 594 00:31:02,880 --> 00:31:05,080 Speaker 1: lot of people watch it too. You know, give us 595 00:31:05,080 --> 00:31:06,959 Speaker 1: a little bit of your backstory. How did it come 596 00:31:07,000 --> 00:31:09,160 Speaker 1: to be? I mean, now I see you on GB News, 597 00:31:09,200 --> 00:31:12,600 Speaker 1: you're talking Vax Ukraine, You're talking whatever. How did you 598 00:31:12,600 --> 00:31:16,160 Speaker 1: get to do? You know what? It is so weird? 599 00:31:16,280 --> 00:31:19,560 Speaker 1: I don't know how it happened. It was I've moved 600 00:31:19,560 --> 00:31:23,640 Speaker 1: back to back to the UK from la um. My 601 00:31:23,760 --> 00:31:27,480 Speaker 1: fiancee's a musician, so we were moving to an area 602 00:31:27,520 --> 00:31:31,000 Speaker 1: called Cheshi, which is where he's from. Originally, he's not 603 00:31:31,040 --> 00:31:33,200 Speaker 1: just he's not just a musician. You can you can 604 00:31:33,280 --> 00:31:35,720 Speaker 1: tell everybody, can tell the folks. He's not a guy 605 00:31:35,760 --> 00:31:38,680 Speaker 1: who's like playing at you know, at the bar for tips. 606 00:31:38,680 --> 00:31:42,080 Speaker 1: Tell everybody who he is. And so it's Billy Duffy 607 00:31:42,280 --> 00:31:45,320 Speaker 1: from the Cults. Um, he wrote the songs. He's a 608 00:31:45,360 --> 00:31:48,120 Speaker 1: guitar player from the car. So I never know who 609 00:31:48,920 --> 00:31:51,120 Speaker 1: who knows him or not, because I mean I didn't 610 00:31:51,120 --> 00:31:53,120 Speaker 1: when I met him. I had toy like I did 611 00:31:53,160 --> 00:31:55,480 Speaker 1: do a Google search. So when Legal Marcus says she 612 00:31:55,520 --> 00:32:02,400 Speaker 1: didn't google Harry Bs, we both googled each other. Right, So, um, yes, 613 00:32:02,760 --> 00:32:06,280 Speaker 1: I never know who knows or not. Is a very excellent, 614 00:32:06,400 --> 00:32:09,400 Speaker 1: very excellent band. But so OK, how do you like 615 00:32:09,480 --> 00:32:13,480 Speaker 1: living in la by the way? Um? Well, I well 616 00:32:13,520 --> 00:32:15,960 Speaker 1: I would think I was. I was there eighteen years. 617 00:32:16,000 --> 00:32:17,360 Speaker 1: I got to do the math on this, but I 618 00:32:17,360 --> 00:32:20,000 Speaker 1: think I was like twenty two twenty three when I 619 00:32:20,080 --> 00:32:24,440 Speaker 1: moved out there. Originally, Um, and at the time I 620 00:32:24,520 --> 00:32:30,200 Speaker 1: was young, I loved it, and um then to me, 621 00:32:31,240 --> 00:32:33,520 Speaker 1: I started I just started to hate it. I think 622 00:32:33,600 --> 00:32:35,440 Speaker 1: maybe it was about eight or nine years ago, I 623 00:32:35,480 --> 00:32:38,000 Speaker 1: started to hate it. I thought, if I stay here, 624 00:32:38,040 --> 00:32:41,880 Speaker 1: I'm going to remain single forever. Um. A lot of 625 00:32:41,880 --> 00:32:45,719 Speaker 1: my friends had moved back to England, got married, had children, um. 626 00:32:46,600 --> 00:32:49,160 Speaker 1: And I just went to see my sister one day 627 00:32:49,320 --> 00:32:55,120 Speaker 1: and just kind of longed to that lovely, quiet, peaceful 628 00:32:55,120 --> 00:32:58,560 Speaker 1: life that she had, just the normal, wholesome life. And 629 00:32:58,560 --> 00:33:00,680 Speaker 1: I was like, right, that's it. I want to move 630 00:33:00,720 --> 00:33:03,800 Speaker 1: back to the UK. And luckily my fiance is English. 631 00:33:03,840 --> 00:33:06,040 Speaker 1: But I did meet him out there, but we kind 632 00:33:06,040 --> 00:33:10,680 Speaker 1: of both decided to come back at the same time. Yeah, 633 00:33:10,720 --> 00:33:13,320 Speaker 1: even though I'm sorry, it's kind of weird because I've 634 00:33:13,400 --> 00:33:15,200 Speaker 1: made up in my mind if I stayed in LA 635 00:33:15,240 --> 00:33:18,640 Speaker 1: i'd be single forever. But I actually met him in LA, 636 00:33:18,960 --> 00:33:22,760 Speaker 1: so kind of doesn't make sense. I always get told 637 00:33:22,760 --> 00:33:26,560 Speaker 1: by people that you find you find the person when 638 00:33:26,560 --> 00:33:28,600 Speaker 1: you're not looking for the person. So maybe also when 639 00:33:28,600 --> 00:33:30,480 Speaker 1: you're like, I'm never going to meet someone in this town, 640 00:33:30,520 --> 00:33:33,080 Speaker 1: it's when it actually happens. I think for a lot 641 00:33:33,120 --> 00:33:34,960 Speaker 1: of people, that's a story that I that I hear. 642 00:33:35,200 --> 00:33:38,720 Speaker 1: Pretty yeah, no, it's true. I like, in my mind, 643 00:33:38,840 --> 00:33:41,640 Speaker 1: I was like, right, I'm going back to England. That's it, 644 00:33:41,880 --> 00:33:44,120 Speaker 1: and so maybe that took the pressure off when we, 645 00:33:44,320 --> 00:33:46,400 Speaker 1: you know, on our first few days, I was like, 646 00:33:46,560 --> 00:33:48,920 Speaker 1: you know, I'm like, so, so, how did the Real 647 00:33:48,960 --> 00:33:51,600 Speaker 1: Housewives of Cheshire thing come together? And what's that like? 648 00:33:51,920 --> 00:33:56,080 Speaker 1: What's it like to have them, you know, have the 649 00:33:56,160 --> 00:33:58,440 Speaker 1: cameras and all that stuff around? Is that does it 650 00:33:58,440 --> 00:34:01,120 Speaker 1: take them Like I've gotten used to having a microphone 651 00:34:01,160 --> 00:34:02,520 Speaker 1: or phone me all the time? I'm not really. I 652 00:34:02,520 --> 00:34:04,960 Speaker 1: don't like cameras as much. I just like microphones, but 653 00:34:05,000 --> 00:34:07,160 Speaker 1: you know, I have to we do the things for 654 00:34:07,240 --> 00:34:10,520 Speaker 1: the media. Did you enjoy being on that show? What 655 00:34:10,560 --> 00:34:13,000 Speaker 1: was that? Was that a trip? What was it? Wake? Now? 656 00:34:13,160 --> 00:34:16,680 Speaker 1: You know what? It's funny. I did kind of enjoy 657 00:34:16,680 --> 00:34:18,960 Speaker 1: it at the time. But there was a lot of arguments, 658 00:34:19,080 --> 00:34:22,960 Speaker 1: which obviously they want drama, right, So I'm not saying 659 00:34:23,160 --> 00:34:25,719 Speaker 1: it's stage because none of it was stage. I had 660 00:34:27,280 --> 00:34:31,680 Speaker 1: genuine arguments and Resin died a couple of people and 661 00:34:31,800 --> 00:34:33,960 Speaker 1: didn't get on with a couple of people. But they 662 00:34:34,000 --> 00:34:38,160 Speaker 1: also wanted you to actually, like make up. It doesn't 663 00:34:38,160 --> 00:34:41,279 Speaker 1: look good if there's this constant conflict, and I just 664 00:34:41,800 --> 00:34:43,920 Speaker 1: I couldn't. I was really different to a lot of 665 00:34:43,960 --> 00:34:50,640 Speaker 1: them not materialistic the way they were materialistic. When I 666 00:34:50,760 --> 00:34:53,919 Speaker 1: saw the final edit of it and they cut out 667 00:34:54,160 --> 00:34:56,600 Speaker 1: stuff that's important to me. They cut out saying like 668 00:34:56,719 --> 00:34:58,640 Speaker 1: my walks with my fianc and my dog, as they 669 00:34:58,640 --> 00:35:01,279 Speaker 1: cut out my niece, they cut out my sister, they 670 00:35:01,320 --> 00:35:04,440 Speaker 1: cut out me with my horses. I was just like, 671 00:35:04,520 --> 00:35:06,839 Speaker 1: you know what, I don't don't want to I don't 672 00:35:06,840 --> 00:35:10,319 Speaker 1: want to stay in this. They filmed so much, but 673 00:35:10,360 --> 00:35:15,520 Speaker 1: they really really like just keep like the worst, nastiest, 674 00:35:15,560 --> 00:35:18,359 Speaker 1: horrible bits. And actually, I feel like it's a good 675 00:35:18,400 --> 00:35:21,160 Speaker 1: analogy for a lot of the news that goes on. 676 00:35:21,320 --> 00:35:23,840 Speaker 1: You know, when when you watch the BBC or something, 677 00:35:23,880 --> 00:35:26,759 Speaker 1: and especially during COVID, I'm like, gosh, there's like all 678 00:35:26,800 --> 00:35:28,920 Speaker 1: these good things going on, there's all these great stories 679 00:35:28,920 --> 00:35:32,359 Speaker 1: of people getting better, and they're just really focusing in 680 00:35:32,400 --> 00:35:34,719 Speaker 1: on like the worst thing and the death rates, not 681 00:35:35,239 --> 00:35:38,600 Speaker 1: you know, the ninety year old grandma who's who's a 682 00:35:38,600 --> 00:35:41,279 Speaker 1: lot better so to me, you know, I think there 683 00:35:41,320 --> 00:35:44,279 Speaker 1: was a lot of parallels I saw in that as 684 00:35:44,280 --> 00:35:46,560 Speaker 1: well when I was doing The Housewives, and then once 685 00:35:46,600 --> 00:35:49,680 Speaker 1: I'd left it and was back and going just like 686 00:35:49,760 --> 00:35:54,320 Speaker 1: it is. Actually, I guess TV and the news is 687 00:35:54,360 --> 00:35:58,160 Speaker 1: like a reality show, just picking the worst out of people. Well, 688 00:35:58,160 --> 00:36:00,959 Speaker 1: you know, with the with the Internet, there's something we'd 689 00:36:00,960 --> 00:36:04,840 Speaker 1: talk about a lot, particularly in conservative media here, that 690 00:36:05,320 --> 00:36:09,640 Speaker 1: places like CNN, which back in the nineties and the 691 00:36:09,680 --> 00:36:12,240 Speaker 1: eighties to some extent, I forget when CNN first came online, 692 00:36:12,320 --> 00:36:15,759 Speaker 1: but back in the nineties, it was a news ticker, right, 693 00:36:15,760 --> 00:36:18,800 Speaker 1: so you could turn on CNN to get the news, 694 00:36:18,920 --> 00:36:21,719 Speaker 1: and so that was its value. It was just hey, 695 00:36:21,800 --> 00:36:23,719 Speaker 1: you know, this is what the stock market's doing, and 696 00:36:23,880 --> 00:36:26,520 Speaker 1: you know, this country is some kind of a conflict, 697 00:36:26,520 --> 00:36:29,600 Speaker 1: and it could be. It always had a perspective and 698 00:36:29,640 --> 00:36:34,120 Speaker 1: it was democrat leading, but it was presenting news. But 699 00:36:34,200 --> 00:36:36,799 Speaker 1: now because of the Internet and there's a million news 700 00:36:36,840 --> 00:36:39,560 Speaker 1: sites and it's instantaneous, and then there's also social media 701 00:36:39,600 --> 00:36:42,240 Speaker 1: and the sharing of news there, some of these news 702 00:36:42,360 --> 00:36:45,240 Speaker 1: entities have had to just go more and more into 703 00:36:45,719 --> 00:36:50,920 Speaker 1: the outrage machinery and essentially propaganda and manipulation of emotion 704 00:36:51,400 --> 00:36:54,080 Speaker 1: just to draw audience. Right, So this is where you 705 00:36:54,160 --> 00:36:57,480 Speaker 1: got into commentary really in place of news that a 706 00:36:57,520 --> 00:37:00,480 Speaker 1: lot of places entirely and it's all so why I 707 00:37:00,520 --> 00:37:03,920 Speaker 1: think people who watch the news too much and I 708 00:37:04,000 --> 00:37:06,080 Speaker 1: work in the news. But I always say, I tell 709 00:37:06,120 --> 00:37:08,080 Speaker 1: people listen to my podcast and then go for a 710 00:37:08,120 --> 00:37:10,160 Speaker 1: walk in the park. Like people who do too much 711 00:37:10,160 --> 00:37:14,480 Speaker 1: of this, it is designed to make them unhappy and 712 00:37:14,520 --> 00:37:17,319 Speaker 1: it is warring propaganda machines for the most part, So 713 00:37:17,719 --> 00:37:19,319 Speaker 1: it's like you need some of it, but not too 714 00:37:19,360 --> 00:37:23,840 Speaker 1: much of it, right, And I think in the US 715 00:37:23,920 --> 00:37:25,839 Speaker 1: as well, it's not as bad as in the UK 716 00:37:26,040 --> 00:37:29,200 Speaker 1: because the UK have this like governing body called Offcom, 717 00:37:29,239 --> 00:37:32,359 Speaker 1: and they're supposed to you know, usually Offcom as well. 718 00:37:32,640 --> 00:37:36,560 Speaker 1: People write to them if someone's wearing something a little 719 00:37:36,560 --> 00:37:40,000 Speaker 1: bit too skimpy on like our equivalent of you've got 720 00:37:40,200 --> 00:37:42,799 Speaker 1: is it dancing with the Stars you have? And you know, 721 00:37:43,120 --> 00:37:46,200 Speaker 1: we've got like dancing on ice or strictly come dancing, 722 00:37:46,480 --> 00:37:49,680 Speaker 1: And if something someone's wearing something too skimpy, like people 723 00:37:49,680 --> 00:37:53,319 Speaker 1: will write in and complaint. But what's also happened is 724 00:37:53,360 --> 00:37:56,000 Speaker 1: that people will do that if they don't like what's 725 00:37:56,000 --> 00:37:58,160 Speaker 1: being said about the vaccines, or if they don't like 726 00:37:58,239 --> 00:38:01,120 Speaker 1: what was being said about lockdown, they'll be like, this 727 00:38:01,200 --> 00:38:06,000 Speaker 1: is really dangerous, and then they've flood places like gb 728 00:38:06,120 --> 00:38:10,759 Speaker 1: News with all these complaints and then people kind of 729 00:38:10,800 --> 00:38:14,520 Speaker 1: get investigated and it's just this whole long drawn out process. 730 00:38:14,600 --> 00:38:20,800 Speaker 1: So instead of being like this you know, regular literary 731 00:38:20,800 --> 00:38:24,960 Speaker 1: body that is balanced, it's all because it's become part 732 00:38:25,040 --> 00:38:27,879 Speaker 1: of this like misinformation machine. And then you see like 733 00:38:27,920 --> 00:38:32,440 Speaker 1: the chief executive of Offcom then is going to Davos 734 00:38:32,560 --> 00:38:35,279 Speaker 1: and speaking to the w EF. So it's like hold 735 00:38:35,320 --> 00:38:38,759 Speaker 1: on a minute, like this is also intertwined with the 736 00:38:38,800 --> 00:38:43,240 Speaker 1: British media. It's very it's it's yeah, it's very different 737 00:38:43,280 --> 00:38:46,600 Speaker 1: from the US. I think, yeah, well, I don't think 738 00:38:46,600 --> 00:38:49,160 Speaker 1: you guys have obviously you don't have a constitution, but 739 00:38:49,200 --> 00:38:54,719 Speaker 1: I don't think that there's the same legal protections for speech, right, 740 00:38:54,760 --> 00:38:58,000 Speaker 1: I mean if someone says something that is essentially disturbing 741 00:38:58,120 --> 00:39:00,640 Speaker 1: the peace in some capacity, meaning it says something that 742 00:39:00,719 --> 00:39:03,520 Speaker 1: upsets enough people. I always see these articles in the 743 00:39:03,600 --> 00:39:05,439 Speaker 1: Daily Mail, which by the way is a new site 744 00:39:05,480 --> 00:39:08,440 Speaker 1: that I read a lot. Well, the cops will come 745 00:39:08,520 --> 00:39:11,280 Speaker 1: knock on the or deep bobbies do we call the bobby? 746 00:39:12,360 --> 00:39:15,479 Speaker 1: Is right? Okay, no, we don't do it so much anymore. Yeah, 747 00:39:15,560 --> 00:39:18,160 Speaker 1: but you know what I've noticed, actually we're picking up 748 00:39:18,160 --> 00:39:20,400 Speaker 1: a lot of the American terms because it used to 749 00:39:20,400 --> 00:39:22,799 Speaker 1: be police and cops used to be so American, but 750 00:39:22,880 --> 00:39:25,920 Speaker 1: now everyone says cops here, So yeah, it is. It 751 00:39:26,000 --> 00:39:28,560 Speaker 1: is a quick and easy, easy shorthand. By the way, 752 00:39:28,560 --> 00:39:31,359 Speaker 1: since since we're talking linguistics for a second here, so 753 00:39:31,400 --> 00:39:35,400 Speaker 1: would your accent be considered? I'm fascinated by British accents. 754 00:39:35,400 --> 00:39:39,279 Speaker 1: I've talked about this on radio because they like, first 755 00:39:39,320 --> 00:39:41,680 Speaker 1: of all, whenever there's a historical piece. So if we're 756 00:39:41,719 --> 00:39:45,319 Speaker 1: setting a show or a movie an ancient rome, even 757 00:39:45,360 --> 00:39:47,840 Speaker 1: if it's made by Americans, we needed them all to 758 00:39:47,880 --> 00:39:50,080 Speaker 1: have British accents, which we are just kind of funny, 759 00:39:50,160 --> 00:39:52,279 Speaker 1: right because they would have been speaking Latin, so why 760 00:39:52,320 --> 00:39:54,440 Speaker 1: they have to have British accents of the first American 761 00:39:54,480 --> 00:39:59,080 Speaker 1: accents never but we just think like, oh, fancy historical British. 762 00:39:59,120 --> 00:40:03,400 Speaker 1: But then you also have there's like fancy accents up here. Well, oh, 763 00:40:03,440 --> 00:40:05,920 Speaker 1: I do a lot of things. You know, you have 764 00:40:05,960 --> 00:40:08,280 Speaker 1: the the you know, the the like. So the soldier, 765 00:40:08,320 --> 00:40:10,120 Speaker 1: the everyday soldier is going to have more of I 766 00:40:10,160 --> 00:40:13,680 Speaker 1: guess a Cockney accent. And so if your accent man 767 00:40:13,760 --> 00:40:17,240 Speaker 1: Cunian or what what would yours be considering? No? Okay, 768 00:40:17,280 --> 00:40:19,480 Speaker 1: so mine is really messed up. So I'm from the 769 00:40:19,520 --> 00:40:22,359 Speaker 1: south of England, UM, so I would think it would 770 00:40:22,400 --> 00:40:24,920 Speaker 1: be considered quite harsh. But then I went to live 771 00:40:24,920 --> 00:40:27,799 Speaker 1: in London for a bit and I don't know, my 772 00:40:27,840 --> 00:40:30,000 Speaker 1: accent just seems to keep changing all the time. And 773 00:40:30,040 --> 00:40:33,680 Speaker 1: then I moved to America, where everyone thought I was 774 00:40:33,719 --> 00:40:36,640 Speaker 1: Australian because I started to pick up this twang. And 775 00:40:36,680 --> 00:40:40,080 Speaker 1: I think when English people moved to America they start 776 00:40:40,120 --> 00:40:44,120 Speaker 1: to sound Australian. Um And I don't know how that is, 777 00:40:44,680 --> 00:40:47,240 Speaker 1: but that that does kind of happen. You get before 778 00:40:47,280 --> 00:40:49,880 Speaker 1: you sound America and you start to sound Australian. But 779 00:40:49,920 --> 00:40:53,040 Speaker 1: then I moved back and my fiance is from Manchester, 780 00:40:53,160 --> 00:40:56,400 Speaker 1: so he's Mancunian, so then I pick up these northern bits. 781 00:40:56,840 --> 00:40:58,600 Speaker 1: But now I actually live in the middle of the 782 00:40:58,640 --> 00:41:01,600 Speaker 1: country from Birming. I don't know if you've ever watched 783 00:41:01,640 --> 00:41:05,160 Speaker 1: Peaky Blinds. Oh, it's one of my favorite shows. Yes, 784 00:41:06,320 --> 00:41:09,040 Speaker 1: So it's that kind of act. So mine is just 785 00:41:09,520 --> 00:41:12,440 Speaker 1: is a mess, and depending on who I speak too, 786 00:41:12,960 --> 00:41:17,120 Speaker 1: I somehow pick up little twangs of things. It's very strange. 787 00:41:17,120 --> 00:41:20,080 Speaker 1: It's very strange. I've got a weird accent and also 788 00:41:20,239 --> 00:41:22,400 Speaker 1: so can you This would be kind of fun because 789 00:41:22,480 --> 00:41:24,840 Speaker 1: most people listen, so we will have people watching on 790 00:41:24,920 --> 00:41:26,640 Speaker 1: videos so they can see you, but most people be 791 00:41:26,640 --> 00:41:30,160 Speaker 1: listening to this on audio only. So if you were 792 00:41:30,160 --> 00:41:32,680 Speaker 1: going to tell me in an American like, speak for 793 00:41:32,800 --> 00:41:35,359 Speaker 1: me in an American accent, your version of the most 794 00:41:35,360 --> 00:41:40,879 Speaker 1: American accent you can do about um? Why you know, 795 00:41:41,800 --> 00:41:43,320 Speaker 1: did you spend much time in New York too, or 796 00:41:43,360 --> 00:41:47,480 Speaker 1: only Los Angeles? No, just a Los Angeles. Tell me 797 00:41:47,800 --> 00:41:51,640 Speaker 1: tell me something about being h you know, your favorite 798 00:41:51,640 --> 00:41:53,719 Speaker 1: things about Los Angeles in an American accent. I just 799 00:41:53,719 --> 00:41:56,319 Speaker 1: want to hear it because I always found it funny 800 00:41:55,719 --> 00:41:59,480 Speaker 1: when these British actors are cast in American roles and 801 00:41:59,520 --> 00:42:03,080 Speaker 1: they all so could you guys all complain about how 802 00:42:03,400 --> 00:42:06,040 Speaker 1: our accents so terrible? We all shound like, you know, 803 00:42:06,080 --> 00:42:08,359 Speaker 1: we just right, and you all the Brits all make 804 00:42:08,400 --> 00:42:10,440 Speaker 1: fun of us. But I see all these guys that 805 00:42:10,600 --> 00:42:13,000 Speaker 1: come over and they try to do the American accent 806 00:42:13,080 --> 00:42:15,640 Speaker 1: and they all kind of talk like like their face 807 00:42:15,760 --> 00:42:19,160 Speaker 1: is really tight. They're like, yeah, now I'm American, you know, 808 00:42:19,320 --> 00:42:22,440 Speaker 1: so what is your do you an American accent about 809 00:42:22,480 --> 00:42:26,520 Speaker 1: Los Angeles? Living for the I'll just have to do 810 00:42:26,560 --> 00:42:28,480 Speaker 1: it like I'll have to ask for something. Can I 811 00:42:28,880 --> 00:42:37,880 Speaker 1: have some water please? And can I have some butter? 812 00:42:38,560 --> 00:42:41,279 Speaker 1: And then it was it would be so weak because 813 00:42:41,320 --> 00:42:43,680 Speaker 1: when I used to say water, can I have some water, 814 00:42:44,320 --> 00:42:45,920 Speaker 1: that'd be like hot and then you have to go 815 00:42:46,080 --> 00:42:50,439 Speaker 1: like water and like yeah, so it was it was rich. 816 00:42:51,080 --> 00:42:54,440 Speaker 1: So oh, I think I get some bread. I'd say 817 00:42:54,480 --> 00:42:58,040 Speaker 1: can I have some butter please? And then it's a huh, 818 00:42:58,040 --> 00:43:03,080 Speaker 1: oh butter? Can I have some butter? Okay? Did you 819 00:43:03,120 --> 00:43:05,720 Speaker 1: find that's funny because your American kind of actually sounds 820 00:43:05,719 --> 00:43:07,480 Speaker 1: like a valley girl, which I'm sure you're familiar with 821 00:43:07,520 --> 00:43:09,879 Speaker 1: that concept from Los Angeles and girls who are from 822 00:43:10,320 --> 00:43:14,799 Speaker 1: the you know, the valley near la um Uh. Did 823 00:43:14,840 --> 00:43:17,320 Speaker 1: you find that Americans? And like, did you get tired 824 00:43:17,360 --> 00:43:19,600 Speaker 1: after a while if people all being fascinated by because 825 00:43:19,600 --> 00:43:22,279 Speaker 1: Americans are still fascinated by British accents, like we hear one, 826 00:43:22,320 --> 00:43:24,839 Speaker 1: We're like, oh, that's so cool. You know, we don't 827 00:43:24,840 --> 00:43:26,600 Speaker 1: get that anywhere, Like we don't go to Canada and 828 00:43:26,600 --> 00:43:28,600 Speaker 1: they're like, oh, speak more in your in your American 829 00:43:28,640 --> 00:43:30,560 Speaker 1: accent for us a like they don't care at all. 830 00:43:31,080 --> 00:43:32,920 Speaker 1: So was that something that was a common place for 831 00:43:32,960 --> 00:43:36,879 Speaker 1: you in La or people just were like, yeah, it's La. Yeah, No, 832 00:43:36,920 --> 00:43:40,239 Speaker 1: I think it was normal. I would go to other places, 833 00:43:40,360 --> 00:43:42,360 Speaker 1: or I'd leave La and go to somewhere else that 834 00:43:42,360 --> 00:43:44,719 Speaker 1: people would say, Oh, say that again, say that again. 835 00:43:44,760 --> 00:43:47,640 Speaker 1: I'll speak a bit of things so well they try 836 00:43:47,640 --> 00:43:53,840 Speaker 1: and do my accent pretty badly. But yeah, does anyone 837 00:43:53,840 --> 00:43:56,520 Speaker 1: do Are there any American actors that you've seen who 838 00:43:56,520 --> 00:43:58,720 Speaker 1: you're like that one, that man or woman really pulls 839 00:43:58,760 --> 00:44:01,319 Speaker 1: it off? Well, you know, Angelia and Jolie went through 840 00:44:01,360 --> 00:44:03,439 Speaker 1: a phase or she was always trying to do British roles. 841 00:44:03,440 --> 00:44:05,400 Speaker 1: It seems you know some of them. Is there anyone 842 00:44:05,480 --> 00:44:09,480 Speaker 1: here like that person really nailed it? Oh gosh, I 843 00:44:09,520 --> 00:44:13,560 Speaker 1: don't know. Actually, I was watching UM. I was coming 844 00:44:13,560 --> 00:44:15,439 Speaker 1: back from holiday and I watched Gangs of New York, 845 00:44:15,440 --> 00:44:20,080 Speaker 1: and I thought Leonardo did a good Irish accent. But 846 00:44:20,640 --> 00:44:23,560 Speaker 1: that's obviously not English. So I don't know. I can't 847 00:44:23,560 --> 00:44:26,959 Speaker 1: think because usually if they're that good, it doesn't stand 848 00:44:26,960 --> 00:44:30,560 Speaker 1: out because I think they're and I think they're English 849 00:44:30,920 --> 00:44:34,160 Speaker 1: until they speak. So let me do you can you 850 00:44:34,200 --> 00:44:36,560 Speaker 1: tell right away? I mean so as an American, when 851 00:44:36,600 --> 00:44:40,239 Speaker 1: I hear somebody, if I hear somebody from Boston, from 852 00:44:41,040 --> 00:44:45,080 Speaker 1: the South, from the Midwest. It's a little harder actually 853 00:44:45,080 --> 00:44:47,640 Speaker 1: with California unless they have kind of a prototypical and 854 00:44:47,680 --> 00:44:49,920 Speaker 1: there's actually a Florida accent. I'm done in Miami now, 855 00:44:49,960 --> 00:44:52,400 Speaker 1: so there's a it's a Miami accent, not a Florida accent, 856 00:44:52,400 --> 00:44:55,520 Speaker 1: but there's a very specific Miami speech and cadence that 857 00:44:55,600 --> 00:44:59,399 Speaker 1: people have which feels almost like a Latin like has 858 00:44:59,400 --> 00:45:02,960 Speaker 1: almost like a more of a English Spanish crossover, a 859 00:45:03,120 --> 00:45:07,520 Speaker 1: Latin rhythm to it. Can you tell, like when someone speaks, 860 00:45:07,520 --> 00:45:09,800 Speaker 1: are you like that person's from Birmingham that can you 861 00:45:09,840 --> 00:45:11,200 Speaker 1: tell right away? Or is it a little bit hard 862 00:45:11,320 --> 00:45:16,080 Speaker 1: oh in England? Yes, yeah, definitely, you definitely can tell. Sometimes. 863 00:45:16,080 --> 00:45:18,400 Speaker 1: The weirdest thing is that sometimes or when I was 864 00:45:18,440 --> 00:45:20,960 Speaker 1: living in America, I would get mixed up between Irish 865 00:45:20,960 --> 00:45:23,480 Speaker 1: and Scottish just because I hadn't heard them for so long. 866 00:45:25,239 --> 00:45:30,280 Speaker 1: But you can definitely tell. I think between like Liverpool, Birmingham, 867 00:45:30,920 --> 00:45:33,800 Speaker 1: from down south Cockney, the ones I struggle with a 868 00:45:34,080 --> 00:45:38,520 Speaker 1: kind of like the Yorkshire and Sheffield, the Yorkshire and 869 00:45:38,600 --> 00:45:41,759 Speaker 1: Sheffield and Manchester a little bit to some extent because 870 00:45:41,800 --> 00:45:47,319 Speaker 1: when I met Billy I thought he sounded like Ned 871 00:45:47,400 --> 00:45:53,200 Speaker 1: Stark from Game of Thrones. Apparently he's like Yorkshire or Sheffield, 872 00:45:53,800 --> 00:45:56,040 Speaker 1: and he's like, I don't sound like him. I'm from 873 00:45:56,080 --> 00:45:58,520 Speaker 1: Manchester and he's from like Sheffield. I was like, oh, 874 00:45:58,560 --> 00:46:00,640 Speaker 1: you're northern. You all kind of sound the same to me, 875 00:46:00,680 --> 00:46:04,360 Speaker 1: but there's Newcastle sounds very different. Like I can almost 876 00:46:04,400 --> 00:46:07,600 Speaker 1: not even understand what they're saying and need a translator 877 00:46:08,080 --> 00:46:11,720 Speaker 1: and they speak so strangely, but like you can definitely 878 00:46:11,719 --> 00:46:16,279 Speaker 1: tell Liverpool and Birmingham. And yeah, and I know you 879 00:46:16,320 --> 00:46:19,040 Speaker 1: have you mentioned this briefly and from uh, you know, 880 00:46:19,120 --> 00:46:21,839 Speaker 1: social media. I know you love horses. Has that been 881 00:46:21,880 --> 00:46:24,799 Speaker 1: a lifelong thing? Or do you do? You do? You 882 00:46:25,000 --> 00:46:27,440 Speaker 1: do you ride? Do you do you want to breed horses? 883 00:46:27,480 --> 00:46:30,400 Speaker 1: Like what's the do you show them? What do you do? So? 884 00:46:30,719 --> 00:46:32,719 Speaker 1: I show jump a little bit, but just for fun, 885 00:46:32,800 --> 00:46:36,439 Speaker 1: like I'm not, you know, not professional or anything like that. Um, 886 00:46:36,480 --> 00:46:39,399 Speaker 1: and I have I have three horses here at home now. 887 00:46:40,000 --> 00:46:43,239 Speaker 1: Um and I did start I started to ride out 888 00:46:43,280 --> 00:46:45,000 Speaker 1: that I loved them. When I was a little girl, 889 00:46:45,080 --> 00:46:48,279 Speaker 1: I was like absolutely obsessed with them. I had little, 890 00:46:48,320 --> 00:46:50,799 Speaker 1: my little ponies, and then I got a little my 891 00:46:50,880 --> 00:46:53,359 Speaker 1: dead parents got me a little pony because in the UK, 892 00:46:53,560 --> 00:46:56,200 Speaker 1: back in the day kind of it was a thing. 893 00:46:56,239 --> 00:46:58,560 Speaker 1: There's loads of land that you know, there's a lot 894 00:46:58,600 --> 00:47:01,200 Speaker 1: of space if you don't live in lond and loads 895 00:47:01,239 --> 00:47:03,000 Speaker 1: of fields and we just had a little I had 896 00:47:03,040 --> 00:47:06,120 Speaker 1: a little pony. I probably stopped riding when I was 897 00:47:06,120 --> 00:47:12,440 Speaker 1: about sixteen, and then back in LA when I got 898 00:47:12,440 --> 00:47:14,680 Speaker 1: fed up with you know, kind of going out and 899 00:47:14,719 --> 00:47:17,880 Speaker 1: all of that, I ended up buying myself another horse. 900 00:47:18,120 --> 00:47:21,920 Speaker 1: So it was probably about had him ten years now, 901 00:47:21,920 --> 00:47:25,760 Speaker 1: so I was about thirty four and I got myself 902 00:47:25,840 --> 00:47:29,000 Speaker 1: a horse out there, and then just the love of 903 00:47:29,040 --> 00:47:31,080 Speaker 1: it all came back and I think I just wondered 904 00:47:31,080 --> 00:47:33,600 Speaker 1: to myself, I wonder what would have happened if I 905 00:47:33,640 --> 00:47:36,319 Speaker 1: had carried on riding at like sixteen, if I would 906 00:47:36,360 --> 00:47:39,720 Speaker 1: even have gone to America, because I think horsey people 907 00:47:39,719 --> 00:47:44,799 Speaker 1: are a little bit obsessed. And my fiance away says, 908 00:47:44,800 --> 00:47:48,120 Speaker 1: I'm completely in Nataline saying, because I had one horse 909 00:47:48,160 --> 00:47:49,960 Speaker 1: and then I moved back to England, I got another 910 00:47:50,000 --> 00:47:53,640 Speaker 1: horse and then as soon as we had we moved 911 00:47:53,640 --> 00:47:55,120 Speaker 1: to a place where I could have him at home. 912 00:47:55,160 --> 00:47:58,200 Speaker 1: There was a spare stable. I decided I needed to 913 00:47:58,239 --> 00:48:01,839 Speaker 1: fill it by getting another horse, and you said dogs too, right, 914 00:48:02,000 --> 00:48:03,920 Speaker 1: so give us what's the whole menagerie here? We've got 915 00:48:03,920 --> 00:48:07,200 Speaker 1: three horses, we got some dogs and two dogs. Both 916 00:48:07,239 --> 00:48:09,520 Speaker 1: my dogs are fifteen now. So I got them when 917 00:48:09,520 --> 00:48:12,600 Speaker 1: I was living in America, and yeah, they came back 918 00:48:12,640 --> 00:48:16,440 Speaker 1: with me. One of my horses came back with me, um, 919 00:48:16,560 --> 00:48:19,040 Speaker 1: and then got two horses here. Yeah, so it's all 920 00:48:20,280 --> 00:48:22,439 Speaker 1: swim across the Atlantic. That horse must be in really 921 00:48:22,440 --> 00:48:29,560 Speaker 1: good ship. Slew, he flew. That's a fancy horse. Do 922 00:48:29,680 --> 00:48:32,359 Speaker 1: it by a shipping container? But appairly you flew. That's 923 00:48:32,400 --> 00:48:35,840 Speaker 1: very cool. So yeah, no, no, it's it's it's crazy. 924 00:48:35,880 --> 00:48:39,960 Speaker 1: They have like um, I think it's it's KLM. They 925 00:48:40,080 --> 00:48:44,160 Speaker 1: have like a whole um half a section I think 926 00:48:44,200 --> 00:48:47,440 Speaker 1: for animals that are being transported. So they do have 927 00:48:47,520 --> 00:48:50,320 Speaker 1: like the shipping container for three horses, and it's usually 928 00:48:50,360 --> 00:48:53,640 Speaker 1: race horses or something that go on that shipped to Europe. 929 00:48:53,640 --> 00:48:56,640 Speaker 1: But I do have to give you a film recommendation 930 00:48:56,920 --> 00:48:58,560 Speaker 1: that is near and you to my heart for a 931 00:48:58,560 --> 00:49:02,600 Speaker 1: few reasons. Have you seen the documentary about the horse 932 00:49:02,640 --> 00:49:08,279 Speaker 1: whisperer called Buck? Yes, yes, I have seen it. I'm 933 00:49:08,280 --> 00:49:10,760 Speaker 1: gonna say I think it is great, not just because 934 00:49:10,800 --> 00:49:13,200 Speaker 1: it's a great name, but it is great because the 935 00:49:13,239 --> 00:49:15,360 Speaker 1: guy is really he's amazing. I mean, that was a 936 00:49:15,440 --> 00:49:18,080 Speaker 1: very and for anyone who's listening or watching, if you 937 00:49:18,080 --> 00:49:20,560 Speaker 1: haven't seen it, didn't get a ton of like a 938 00:49:20,600 --> 00:49:22,600 Speaker 1: lot of press, I feel like, and it was really 939 00:49:22,640 --> 00:49:25,640 Speaker 1: really good for what it was. And I actually I'm 940 00:49:25,640 --> 00:49:27,799 Speaker 1: supposed to with my fiance. I'm supposed to watch Sea 941 00:49:27,800 --> 00:49:30,000 Speaker 1: Biscuit in the next week. We've talked about watching Sea 942 00:49:30,040 --> 00:49:33,200 Speaker 1: Biscuit for one of our movie nights coming up, so 943 00:49:33,640 --> 00:49:35,640 Speaker 1: you know, yeah, yeah, so I have to. Can you 944 00:49:35,719 --> 00:49:37,800 Speaker 1: see that? Actually I think it wasn't here a little 945 00:49:37,880 --> 00:49:42,239 Speaker 1: race horse apparently a yeah, yeah, very good, But I 946 00:49:42,280 --> 00:49:44,480 Speaker 1: think he was small. I might be confusing him with 947 00:49:44,520 --> 00:49:46,120 Speaker 1: an oh, yeah, no, we need a little engine that 948 00:49:46,200 --> 00:49:47,879 Speaker 1: could story here, you know what I mean. It needs 949 00:49:47,880 --> 00:49:49,920 Speaker 1: to be a David and Goliath thing. I'm sure. So 950 00:49:50,200 --> 00:49:52,640 Speaker 1: he's probably the horse. They're like, Oh, he's just gonna 951 00:49:52,800 --> 00:49:55,520 Speaker 1: be carrying like, you know, or moving a cart around, 952 00:49:55,680 --> 00:49:57,319 Speaker 1: or you know, he's worthless. And then I'm a sudden 953 00:49:57,320 --> 00:49:59,239 Speaker 1: he kicks all the other horses asses Like I haven't 954 00:49:59,280 --> 00:50:00,880 Speaker 1: seen it. I don't even know the story, but I 955 00:50:00,920 --> 00:50:03,920 Speaker 1: have a feeling that's probably probably where this is going, right. 956 00:50:03,960 --> 00:50:06,120 Speaker 1: I mean, I don't think ce Biscuit ends up like 957 00:50:06,160 --> 00:50:08,719 Speaker 1: smoking cigarettes and not meeting his full potential. So I 958 00:50:08,719 --> 00:50:11,040 Speaker 1: think that's a that's a good thing for sure. So 959 00:50:11,200 --> 00:50:15,440 Speaker 1: where should people go? Leilani defined more of both your commentary, 960 00:50:15,560 --> 00:50:18,640 Speaker 1: your GB news stuff is great over in the UK. Um, 961 00:50:18,719 --> 00:50:21,239 Speaker 1: I know you're doing stuff with Mark Stein over there, right, 962 00:50:21,280 --> 00:50:25,520 Speaker 1: So where should people following? Yes? Yeah, so, um, I 963 00:50:25,600 --> 00:50:28,359 Speaker 1: have got a new Instagram it's Lanie doubt. You can't 964 00:50:28,400 --> 00:50:30,880 Speaker 1: I can't use my full name still, so don't grasp 965 00:50:30,920 --> 00:50:34,760 Speaker 1: me up to Instagram, will report me um and Twitter 966 00:50:35,400 --> 00:50:38,439 Speaker 1: it's Leilani Doubting. And I also am hosting a show 967 00:50:38,520 --> 00:50:43,000 Speaker 1: on a channel called Iconicum. It is a subscription channel, 968 00:50:43,000 --> 00:50:44,960 Speaker 1: but some of the shows go out on Rumble and 969 00:50:45,120 --> 00:50:49,439 Speaker 1: YouTube and it's it's kind of it's talking about what's 970 00:50:49,440 --> 00:50:53,000 Speaker 1: in the news. But because we're not on TV, we're 971 00:50:53,000 --> 00:50:56,400 Speaker 1: not governed by offcom and we can just speak freely 972 00:50:56,560 --> 00:50:59,160 Speaker 1: and have people who want to say how they feel 973 00:50:59,200 --> 00:51:02,120 Speaker 1: and how they really really feel on there. So that's 974 00:51:02,160 --> 00:51:07,120 Speaker 1: an iconic dot com and it's I see Hey, um 975 00:51:07,520 --> 00:51:11,279 Speaker 1: like David Ike, gotcha all right, cool, We'll go check 976 00:51:11,280 --> 00:51:13,040 Speaker 1: out Lelans work. Thank you so much for being with 977 00:51:13,160 --> 00:51:17,400 Speaker 1: us and for standing strong during the lockdown and COVID madness. 978 00:51:17,440 --> 00:51:19,960 Speaker 1: It was good to have some additional friends from across 979 00:51:20,000 --> 00:51:22,960 Speaker 1: the pond on that one. Thanks no, you too. It's 980 00:51:23,040 --> 00:51:26,480 Speaker 1: great like everyone you know, both sides still standing together. 981 00:51:26,920 --> 00:51:28,319 Speaker 1: Thanks you all right. Thanks