1 00:00:11,697 --> 00:00:14,977 Speaker 1: You're listening to the Fuck Sexton Show podcast, make sure 2 00:00:15,017 --> 00:00:18,017 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:18,057 --> 00:00:21,097 Speaker 1: wherever you get your podcasts. Hey guys, welcome to the 4 00:00:21,097 --> 00:00:25,817 Speaker 1: buck Brief. By popular request demand, Really, Matthew Marsden is back. 5 00:00:25,977 --> 00:00:29,097 Speaker 1: He is the host of The Matthew Morrisden Show. It's YouTube, 6 00:00:29,097 --> 00:00:32,337 Speaker 1: it's podcast, and people love his cool accent and the 7 00:00:32,337 --> 00:00:34,177 Speaker 1: fact that he has so many kids. I can never 8 00:00:34,177 --> 00:00:35,817 Speaker 1: remember was it nine is nine? Right? 9 00:00:36,257 --> 00:00:37,177 Speaker 2: I have nine kids? 10 00:00:37,457 --> 00:00:41,057 Speaker 1: Nine kids, so cool accent, nine kids, and was in 11 00:00:41,097 --> 00:00:43,537 Speaker 1: Black Hawk Down. It's got a lot of fun things, 12 00:00:43,577 --> 00:00:46,377 Speaker 1: a lot of fun stats to throw out there. But 13 00:00:46,777 --> 00:00:49,177 Speaker 1: you know, your guy comes from a Hollywood background. I 14 00:00:49,217 --> 00:00:51,977 Speaker 1: mentioned Black Hawk Down, which you know is still by 15 00:00:52,137 --> 00:00:54,177 Speaker 1: some of the guys I know from the special operations community. 16 00:00:54,217 --> 00:00:57,257 Speaker 1: They say the most realistic special office movie ever made 17 00:00:57,337 --> 00:00:59,577 Speaker 1: in their minds. So I think that's always quite a 18 00:00:59,697 --> 00:01:02,817 Speaker 1: quite a calling card for a film. Tell me this 19 00:01:03,577 --> 00:01:08,817 Speaker 1: the Diddy Parties and the whole Diddy situation. You know, 20 00:01:08,897 --> 00:01:12,297 Speaker 1: I grew up in New York's and my sort of 21 00:01:12,297 --> 00:01:17,337 Speaker 1: formative years, like my teenage years, did he was this phenomenon? 22 00:01:17,497 --> 00:01:21,297 Speaker 1: And I remember being like, why he cannot sing, he 23 00:01:21,337 --> 00:01:25,377 Speaker 1: can't he cannot dance. He is not a musician, he 24 00:01:25,497 --> 00:01:28,137 Speaker 1: is not even a good rapper. But he is worth 25 00:01:28,257 --> 00:01:31,657 Speaker 1: hundreds of millions of dollars and has been held up 26 00:01:31,737 --> 00:01:35,057 Speaker 1: as some kind of cultural icon. There's photos of them, 27 00:01:35,097 --> 00:01:38,017 Speaker 1: you know, whether the Clintons, the Obama's Oprah, I mean, 28 00:01:38,057 --> 00:01:41,977 Speaker 1: you know everybody, you know, the Vanity Fair, Vogue. I 29 00:01:41,977 --> 00:01:45,377 Speaker 1: mean they all suck up to Diddy and this guy 30 00:01:45,497 --> 00:01:51,057 Speaker 1: has been a lunatic degenerate for decades. Like, what how 31 00:01:51,057 --> 00:01:51,817 Speaker 1: does this happen? 32 00:01:53,297 --> 00:01:56,577 Speaker 2: Well? I think, you know, like most things in Hollywood, 33 00:01:56,577 --> 00:01:58,657 Speaker 2: do you have enablers? Right? Everyone wants to go to 34 00:01:58,697 --> 00:02:00,977 Speaker 2: the parties, or should I say people don't want to 35 00:02:00,977 --> 00:02:03,937 Speaker 2: miss out on the parties whatever they might whatever they 36 00:02:04,017 --> 00:02:07,377 Speaker 2: might be. And you know, I had this experience, not 37 00:02:07,457 --> 00:02:09,857 Speaker 2: a Diddy experience, but I had an experience when I 38 00:02:09,937 --> 00:02:13,457 Speaker 2: was invited to a pre oscar party. It was actually 39 00:02:13,457 --> 00:02:16,497 Speaker 2: the Oscars, the black Hawk Down was nominated in and 40 00:02:16,817 --> 00:02:20,977 Speaker 2: that was when, you know, my career was really really skyrocketing. 41 00:02:21,017 --> 00:02:23,817 Speaker 2: And I got invited to this party. It was really 42 00:02:23,857 --> 00:02:27,017 Speaker 2: strange because like everybody who was everybody was there, Like 43 00:02:27,177 --> 00:02:31,897 Speaker 2: all the A listers were there, and the deals are 44 00:02:31,937 --> 00:02:37,217 Speaker 2: done there. That's where the deals are done. Right. So 45 00:02:37,537 --> 00:02:40,297 Speaker 2: for example, I had just gone in on a television 46 00:02:40,337 --> 00:02:43,257 Speaker 2: show and I met with the show runner and you know, 47 00:02:43,337 --> 00:02:45,137 Speaker 2: for those who don't know, the show runners basically the 48 00:02:45,217 --> 00:02:49,017 Speaker 2: shot caller on a television show, and the producer came 49 00:02:49,097 --> 00:02:51,097 Speaker 2: up to me. I'd met them the day before. The 50 00:02:51,137 --> 00:02:54,257 Speaker 2: producer came up to me at the party and he said, hey, Mat, 51 00:02:54,297 --> 00:02:56,617 Speaker 2: I'm just going to tell you didn't get the role. 52 00:02:56,737 --> 00:02:59,777 Speaker 2: And I was like, great, thanks for you know, making 53 00:02:59,817 --> 00:03:05,817 Speaker 2: my party, you know, getting off to a good foot 54 00:03:06,337 --> 00:03:09,457 Speaker 2: on my party, like I'm going to now. I was 55 00:03:09,497 --> 00:03:11,057 Speaker 2: going to have it, can have a good time now, 56 00:03:11,097 --> 00:03:13,577 Speaker 2: I'm gonna have a drink and commiserate. But he said, no, no, 57 00:03:14,257 --> 00:03:18,337 Speaker 2: the show was canceled today and so I got that 58 00:03:18,537 --> 00:03:21,377 Speaker 2: before the news, before anybody else. And I looked around 59 00:03:21,417 --> 00:03:24,537 Speaker 2: at all these different people there, and literally what happens 60 00:03:24,657 --> 00:03:26,697 Speaker 2: is they meet, they go hey, I'm doing this movie. 61 00:03:26,737 --> 00:03:29,377 Speaker 2: I think you'd be great for it, blah blah blah blah, 62 00:03:29,417 --> 00:03:32,497 Speaker 2: and then boom, this happens. So you have you have 63 00:03:32,577 --> 00:03:37,017 Speaker 2: a kind of a confluence of interests, right, because as 64 00:03:37,057 --> 00:03:40,297 Speaker 2: you saw in these parties, everybody goes to them. And 65 00:03:41,217 --> 00:03:43,097 Speaker 2: you know, one of the reasons why I've always said 66 00:03:43,137 --> 00:03:46,057 Speaker 2: this that you know, for myself as a British actor, 67 00:03:46,097 --> 00:03:47,817 Speaker 2: like there's a filter system that you have to go 68 00:03:47,857 --> 00:03:52,857 Speaker 2: through it, right, So you normally you'll go to drama 69 00:03:52,897 --> 00:03:55,697 Speaker 2: school or college or whatever to do drama. Then you'll 70 00:03:55,697 --> 00:03:58,657 Speaker 2: get into theater, then you'll get into television, then you'll 71 00:03:58,657 --> 00:04:00,897 Speaker 2: get into movies. Then you're getting to Hollywood movies. That 72 00:04:00,697 --> 00:04:04,417 Speaker 2: that's kind of the progression up. But why is it 73 00:04:04,457 --> 00:04:06,777 Speaker 2: that so many people in America can just walk off 74 00:04:06,817 --> 00:04:09,857 Speaker 2: the streets and become giant stars for no apparent reason. 75 00:04:10,137 --> 00:04:13,777 Speaker 2: And actually a lot of the times were no discernible talent. 76 00:04:14,777 --> 00:04:16,537 Speaker 2: And I think we're seeing. 77 00:04:17,497 --> 00:04:19,857 Speaker 1: Some of why that is. I mean, there are some people, 78 00:04:19,897 --> 00:04:22,617 Speaker 1: I'll just jump in on this. There were people in 79 00:04:22,657 --> 00:04:29,017 Speaker 1: the era of Harvey Weinstein's extremely powerful influence in film 80 00:04:29,057 --> 00:04:31,697 Speaker 1: at the highest levels in America, like late nineties right 81 00:04:31,737 --> 00:04:34,617 Speaker 1: early two thousands. There are people who you're like, why 82 00:04:34,657 --> 00:04:38,217 Speaker 1: is this person women? Why is she getting all these parts? Yeah, 83 00:04:38,257 --> 00:04:39,937 Speaker 1: she's getting all these but there's a lot I mean, 84 00:04:39,977 --> 00:04:41,737 Speaker 1: it's super hard to make it in Hollywood. She's getting 85 00:04:41,737 --> 00:04:44,537 Speaker 1: all these roles interesting and all of a sudden. 86 00:04:46,417 --> 00:04:49,977 Speaker 2: Yeah, I mean one of the things that I mean, 87 00:04:50,057 --> 00:04:53,697 Speaker 2: everybody knew in Hollywood. Everybody knew what was going on 88 00:04:53,737 --> 00:04:55,857 Speaker 2: with Harvey Weinstein. If you wanted to get an oscar, 89 00:04:56,297 --> 00:04:59,057 Speaker 2: there were rumors, you know, if you wanted an oscar 90 00:04:59,137 --> 00:05:02,897 Speaker 2: run as a female, you know, certainly Harvey Weinstein was 91 00:05:02,977 --> 00:05:07,937 Speaker 2: probably the most powerful person when it came to the 92 00:05:08,017 --> 00:05:12,097 Speaker 2: Academy Awards and no in the back roads to it 93 00:05:12,217 --> 00:05:15,017 Speaker 2: should I say, and by that I mean like you know, 94 00:05:15,377 --> 00:05:19,257 Speaker 2: how to grease the wheels, what production's gonna be nominated 95 00:05:19,257 --> 00:05:21,457 Speaker 2: for an oscar? Because and people need to know that. 96 00:05:22,017 --> 00:05:24,937 Speaker 2: You know, oscars have been political for a long time, 97 00:05:24,977 --> 00:05:29,497 Speaker 2: and not just by the who has been getting the oscars. 98 00:05:29,777 --> 00:05:32,057 Speaker 2: But if you look, I think it was when Obama 99 00:05:32,177 --> 00:05:35,217 Speaker 2: was in there was a movie called Amor and Amore 100 00:05:35,377 --> 00:05:37,897 Speaker 2: was dying on the vine right nobody had gone to 101 00:05:37,897 --> 00:05:39,497 Speaker 2: see it, and then all of a sudden, in the 102 00:05:39,577 --> 00:05:43,057 Speaker 2: year that Obama was pushing out Obamacare, this movie about 103 00:05:43,057 --> 00:05:46,257 Speaker 2: euthanasia came out, which is kind of kind of very 104 00:05:46,297 --> 00:05:51,537 Speaker 2: in timing. But everyone knew that if you wanted to 105 00:05:51,537 --> 00:05:53,897 Speaker 2: get an oscar, you go to Harvey Weinstein. So when 106 00:05:53,937 --> 00:05:56,697 Speaker 2: all that happened. All I thought was, who did he 107 00:05:56,737 --> 00:06:01,097 Speaker 2: piss off? Right, Like, who did he eventually piss off 108 00:06:01,377 --> 00:06:05,737 Speaker 2: that they decided to throw him under the bus other people. 109 00:06:06,057 --> 00:06:09,697 Speaker 1: So, so you've you've been in these Hollywood circles. Diddy's 110 00:06:09,737 --> 00:06:12,577 Speaker 1: a little It's obviously music, but he was kind of 111 00:06:13,017 --> 00:06:16,417 Speaker 1: a cultural phenomenon in the hip hop world that extended far. 112 00:06:16,777 --> 00:06:19,697 Speaker 1: The guy had a had sewn John clothing, He had 113 00:06:20,137 --> 00:06:23,977 Speaker 1: sak vodka. I never thought it was very good, but whatever. 114 00:06:25,817 --> 00:06:28,257 Speaker 1: He was a big deal, made hundreds of millions of dollars. 115 00:06:28,697 --> 00:06:30,897 Speaker 1: And now everyone's like, I didn't go to ditty parties. 116 00:06:30,897 --> 00:06:33,337 Speaker 1: I don't even know what was going on. Did everybody 117 00:06:33,377 --> 00:06:36,217 Speaker 1: who was famous and powerful in Diddy's orbit, in Sean 118 00:06:36,337 --> 00:06:39,457 Speaker 1: Combs's orbit know that bad stuff was happening. I'm not 119 00:06:39,497 --> 00:06:41,577 Speaker 1: asking for the specifics because no one can really know, 120 00:06:41,697 --> 00:06:44,497 Speaker 1: but did they know that he was doing bad things? 121 00:06:46,177 --> 00:06:49,977 Speaker 2: I don't think so. I know it's probably an unpopular 122 00:06:50,017 --> 00:06:53,137 Speaker 2: thing to say, but I remember, you know, being not 123 00:06:53,257 --> 00:06:56,097 Speaker 2: in those circles, but you know I was, I was around. 124 00:06:56,137 --> 00:06:59,977 Speaker 2: I was certainly, you know, after Black Hawk Down came out, 125 00:07:00,337 --> 00:07:03,777 Speaker 2: because it was so successful in the movies, afterwards. I 126 00:07:03,857 --> 00:07:07,217 Speaker 2: never heard anything of that. You certainly heard rumors about 127 00:07:08,137 --> 00:07:12,057 Speaker 2: about Harvey Weinstein, but I never really heard anything weird 128 00:07:12,057 --> 00:07:13,097 Speaker 2: about You hadn't heard anywhere. 129 00:07:13,097 --> 00:07:15,537 Speaker 1: I mean P Diddy was was involved in a shooting. 130 00:07:15,937 --> 00:07:17,897 Speaker 1: He beat somebody with a wine bottle. I don't know. 131 00:07:17,897 --> 00:07:20,857 Speaker 1: Maybe maybe the music and the acting world didn't have 132 00:07:20,897 --> 00:07:23,497 Speaker 1: as much crossed over as I would think in this regard. 133 00:07:24,377 --> 00:07:27,097 Speaker 1: He probably should have been arrested many times over stretching 134 00:07:27,137 --> 00:07:29,697 Speaker 1: back for about twenty years now, Yeah. 135 00:07:29,537 --> 00:07:31,937 Speaker 2: I mean, I mean I was talking about the weirdo stuff. 136 00:07:31,977 --> 00:07:33,537 Speaker 1: Oh, the weirdo sex party stuff. 137 00:07:33,697 --> 00:07:36,617 Speaker 2: Yeah, yeah, I never I never heard that. I mean, look, 138 00:07:36,657 --> 00:07:39,137 Speaker 2: I mean we well, I certainly grew up in that 139 00:07:39,217 --> 00:07:42,377 Speaker 2: era where it was NWA and and then you know, 140 00:07:42,417 --> 00:07:44,817 Speaker 2: you move into the two Park and whatever and all 141 00:07:44,857 --> 00:07:46,737 Speaker 2: that was going down. I mean, yeah, you know there 142 00:07:46,777 --> 00:07:49,937 Speaker 2: were rumors and Shuge Knight and all that there was. 143 00:07:49,977 --> 00:07:53,777 Speaker 2: Certainly it was it was a very strange time actually 144 00:07:53,777 --> 00:07:56,217 Speaker 2: to come into Hollywood, because when I came in, I 145 00:07:56,337 --> 00:08:00,097 Speaker 2: first signed with a company that was managed by a 146 00:08:00,177 --> 00:08:04,897 Speaker 2: music guy who was he was he was a manager 147 00:08:05,377 --> 00:08:07,177 Speaker 2: of I think back in the day, I mean certainly 148 00:08:07,297 --> 00:08:12,217 Speaker 2: was Mariah Carey and was a manager of a few 149 00:08:12,217 --> 00:08:15,937 Speaker 2: other big stars j Low actually, and I met her 150 00:08:16,017 --> 00:08:19,537 Speaker 2: at the Oscars at the Oscar party in nineteen sorry, 151 00:08:19,537 --> 00:08:24,777 Speaker 2: two thousand and one. So but I mean, I'd never 152 00:08:25,137 --> 00:08:28,857 Speaker 2: really been sucked into that world, you know what I mean. 153 00:08:29,017 --> 00:08:31,217 Speaker 2: I don't know if I gave off those kind of 154 00:08:31,297 --> 00:08:34,577 Speaker 2: vibes that I wasn't down with it, but I mean, listener, 155 00:08:34,577 --> 00:08:37,097 Speaker 2: I certainly had certain phone calls that were like, hey, 156 00:08:37,257 --> 00:08:40,217 Speaker 2: so and so wants to meet you, and I was like, oh, now, 157 00:08:41,457 --> 00:08:44,977 Speaker 2: you know what I mean, My spider's sense went off, 158 00:08:45,657 --> 00:08:48,057 Speaker 2: But that's just not to get itself into a compromising 159 00:08:48,457 --> 00:08:52,257 Speaker 2: situation that you might come back to bite you. But 160 00:08:52,377 --> 00:08:54,377 Speaker 2: I mean, yeah, of course I heard about the violence, 161 00:08:54,897 --> 00:08:57,097 Speaker 2: but it was always a little bit puzzling to me 162 00:08:57,217 --> 00:09:00,177 Speaker 2: because you look at someone like Prince, for example, who 163 00:09:00,217 --> 00:09:02,417 Speaker 2: was a musical genius, and you go, well, of course 164 00:09:02,457 --> 00:09:04,577 Speaker 2: that's where he is, and then you look up Puff 165 00:09:04,657 --> 00:09:06,737 Speaker 2: Daddy and you're kind of like, well, I don't understand this. 166 00:09:07,097 --> 00:09:08,857 Speaker 2: And what a lot of people have to on standbuck 167 00:09:08,977 --> 00:09:12,057 Speaker 2: is is that he is an industry, right, Each one 168 00:09:12,097 --> 00:09:17,097 Speaker 2: of these individuals are actual industries that thousands of people 169 00:09:17,217 --> 00:09:20,737 Speaker 2: rely on. To pay their wages, to pay their jobs, right, 170 00:09:20,857 --> 00:09:24,257 Speaker 2: So I'm sure there was a lot of that looking 171 00:09:24,297 --> 00:09:27,297 Speaker 2: away and I don't want to see it, but I look, 172 00:09:27,337 --> 00:09:30,697 Speaker 2: I never so much as went to the Playboy mansion, 173 00:09:31,137 --> 00:09:34,217 Speaker 2: So I mean, that looks like super tame, now, doesn't it, 174 00:09:34,217 --> 00:09:35,737 Speaker 2: in comparison to what we find out. 175 00:09:36,457 --> 00:09:38,977 Speaker 1: I think it was a thousand bottles of baby oil 176 00:09:39,017 --> 00:09:41,377 Speaker 1: they found at his house here in Miami where I am, 177 00:09:42,137 --> 00:09:43,257 Speaker 1: A thousand bottles of. 178 00:09:43,377 --> 00:09:46,377 Speaker 2: They have nine kids. I don't even have that many 179 00:09:46,417 --> 00:09:47,497 Speaker 2: bottles of baby oil. 180 00:09:47,977 --> 00:09:49,977 Speaker 1: That's a good point. That's a lot of baby oil. 181 00:09:50,057 --> 00:09:52,297 Speaker 1: All right, We're to come back, babies. We're going to 182 00:09:52,377 --> 00:09:56,937 Speaker 1: come back and talk talk elections and presidents and more 183 00:09:57,057 --> 00:09:58,657 Speaker 1: here in a second. But you know, for years now, 184 00:09:58,657 --> 00:10:02,017 Speaker 1: I've worked with friends at Stansbury Research, who does some 185 00:10:02,057 --> 00:10:04,537 Speaker 1: of the best financial research out there. They've just produced 186 00:10:04,537 --> 00:10:07,377 Speaker 1: an insightful new report. It's about how across America strange 187 00:10:07,377 --> 00:10:10,217 Speaker 1: so called accidents are happening. We've seen reports of I'm 188 00:10:10,217 --> 00:10:12,417 Speaker 1: on one call centers going offline, red reports of a 189 00:10:12,417 --> 00:10:15,017 Speaker 1: plane falling apart mid flight. One of the big reveals 190 00:10:15,097 --> 00:10:17,097 Speaker 1: was the number of train accidents last year, some forty 191 00:10:17,097 --> 00:10:20,017 Speaker 1: seven hundred in all. So why is this all happening? 192 00:10:20,217 --> 00:10:22,337 Speaker 1: Learn why so many big accidents are taking place in 193 00:10:22,377 --> 00:10:26,217 Speaker 1: America and where and when the next big accident is 194 00:10:26,257 --> 00:10:29,417 Speaker 1: most likely to occur. Go to America disaster dot com 195 00:10:29,457 --> 00:10:32,977 Speaker 1: for the full story. America disaster dot com get the 196 00:10:32,977 --> 00:10:35,817 Speaker 1: full story on America's next big accident. How to protect you, 197 00:10:35,817 --> 00:10:39,577 Speaker 1: your family, and your money. Mister Matthew Marsden, let's get into, 198 00:10:40,737 --> 00:10:45,537 Speaker 1: you know, Kamala Harris's campaign. I don't think anyone's ever 199 00:10:45,537 --> 00:10:49,457 Speaker 1: seen anything like this before. A campaign where the idea 200 00:10:49,697 --> 00:10:52,977 Speaker 1: is to hide the person running from public scrutiny as 201 00:10:53,057 --> 00:10:55,457 Speaker 1: much as possible and hope that nobody notices. That's a 202 00:10:55,457 --> 00:10:58,057 Speaker 1: tough one in the twenty four to seven news cycle 203 00:10:58,137 --> 00:10:58,697 Speaker 1: to pull off. 204 00:10:59,697 --> 00:11:01,897 Speaker 2: Well, they managed to do it last time, didn't they. 205 00:11:02,017 --> 00:11:03,977 Speaker 2: But I don't think they had COVID. 206 00:11:06,577 --> 00:11:08,177 Speaker 1: Yeah, this time they don't have COVID. Yep. 207 00:11:09,017 --> 00:11:11,497 Speaker 2: Yeah. It's been very range, you know, to watch you know, 208 00:11:11,577 --> 00:11:15,577 Speaker 2: them going from having big stadiums full of people, don't 209 00:11:15,617 --> 00:11:18,897 Speaker 2: really that doesn't matter, to going look at us, we 210 00:11:18,977 --> 00:11:23,017 Speaker 2: have stadium fulls, you know, stadiums full of people. It 211 00:11:23,137 --> 00:11:25,897 Speaker 2: really matters, you know, I mean it is it is 212 00:11:25,937 --> 00:11:32,657 Speaker 2: such a transparently disingenuous campaign that anyone who's half switched 213 00:11:32,697 --> 00:11:36,777 Speaker 2: on can see that they are in absolute disarray. I mean, 214 00:11:36,817 --> 00:11:40,017 Speaker 2: she's probably one of the most unlikable people you could 215 00:11:40,097 --> 00:11:42,137 Speaker 2: ever run. I mean, is is this the best that 216 00:11:42,177 --> 00:11:42,497 Speaker 2: we have? 217 00:11:45,537 --> 00:11:49,057 Speaker 1: And fifty million people and we have somebody who even 218 00:11:49,057 --> 00:11:51,497 Speaker 1: the people who want her to be president know we 219 00:11:51,577 --> 00:11:53,497 Speaker 1: can't let her talk too much or no one's going 220 00:11:53,537 --> 00:11:54,177 Speaker 1: to vote for her. 221 00:11:55,217 --> 00:11:58,257 Speaker 2: Wow. I mean, she's I mean, she's not only unlikable, 222 00:11:58,737 --> 00:12:02,377 Speaker 2: but she's just stupid. She's a very, very. 223 00:12:04,577 --> 00:12:06,217 Speaker 1: Not a smart person. That is true. 224 00:12:06,377 --> 00:12:08,057 Speaker 2: It's actually challenged individual. 225 00:12:08,137 --> 00:12:10,737 Speaker 1: I gotta I gotta ask you this, are are politicians? 226 00:12:11,697 --> 00:12:14,297 Speaker 1: Do you have politicians in the UK that you feel 227 00:12:14,297 --> 00:12:19,257 Speaker 1: like are as dumbs? Because Americans think you guys, because 228 00:12:19,297 --> 00:12:22,857 Speaker 1: your fancy accents are are are a little smarter than 229 00:12:22,897 --> 00:12:25,297 Speaker 1: I think generally generally a lot of people in Britain are. 230 00:12:25,297 --> 00:12:27,537 Speaker 1: I'm just saying, you know they hear a fancy accent, 231 00:12:27,617 --> 00:12:30,057 Speaker 1: you know, they're like, oh, listen to this broadcasta who 232 00:12:30,057 --> 00:12:31,817 Speaker 1: has a fancy accent on the whole thing, and then 233 00:12:31,817 --> 00:12:34,857 Speaker 1: they all are your politicians as dumb as ours? Because 234 00:12:34,857 --> 00:12:37,297 Speaker 1: ours are really setting some new records here with and 235 00:12:37,337 --> 00:12:39,257 Speaker 1: I mean at the top level. I don't mean random ones, 236 00:12:39,297 --> 00:12:40,817 Speaker 1: I mean like the ones running things. 237 00:12:42,097 --> 00:12:44,777 Speaker 2: Yeah, I mean I think they are. Now there's a 238 00:12:44,817 --> 00:12:47,617 Speaker 2: couple of people that are like, you know, completely stupid, 239 00:12:47,697 --> 00:12:50,777 Speaker 2: Like the was I kind of remember, I was going 240 00:12:50,817 --> 00:12:54,297 Speaker 2: to say vice president, but the whatever her name is, 241 00:12:54,417 --> 00:12:56,857 Speaker 2: I can't remember her name now. But Kirs Starmer is 242 00:12:56,937 --> 00:13:01,297 Speaker 2: not very smart either. I mean I think that they're 243 00:13:01,577 --> 00:13:06,337 Speaker 2: they're enabled to be bold in their corruption. I think 244 00:13:06,417 --> 00:13:11,817 Speaker 2: that's part of the issue with the British politician. Historically 245 00:13:11,857 --> 00:13:14,777 Speaker 2: they've been pretty smart, I have to say, but then 246 00:13:15,097 --> 00:13:18,497 Speaker 2: they don't really have to argue about very extreme issues 247 00:13:18,857 --> 00:13:22,017 Speaker 2: like Americans do. So for example, it might come a 248 00:13:22,097 --> 00:13:25,417 Speaker 2: shock as a shock to Americans, but abortion is not 249 00:13:25,577 --> 00:13:29,657 Speaker 2: on the platform in the UK, like they don't even 250 00:13:29,977 --> 00:13:32,697 Speaker 2: talk about it at all. So things are pretty much, 251 00:13:32,977 --> 00:13:36,017 Speaker 2: you know, kind of left. You can be in the middle, 252 00:13:36,097 --> 00:13:37,377 Speaker 2: you go a little bit to the left, you go 253 00:13:37,377 --> 00:13:39,377 Speaker 2: a little bit to the right, and that's the way 254 00:13:39,417 --> 00:13:42,737 Speaker 2: it's been for years until this one. And then they 255 00:13:42,857 --> 00:13:44,697 Speaker 2: just went, you know, we're going to arrest you and 256 00:13:44,737 --> 00:13:48,057 Speaker 2: throw you in jail for doing memes, which is which 257 00:13:48,057 --> 00:13:52,697 Speaker 2: has been staggering, but it seems to be that in 258 00:13:52,737 --> 00:13:57,177 Speaker 2: America now, you've just got to be corrupt enough, right. 259 00:13:57,297 --> 00:13:59,657 Speaker 2: That's why it's really down to, right, like if you 260 00:13:59,777 --> 00:14:03,737 Speaker 2: can be manipulated enough. And Biden, because he's a complete 261 00:14:04,377 --> 00:14:06,657 Speaker 2: you know, robot, is the. 262 00:14:07,257 --> 00:14:11,457 Speaker 1: Presidential poorly functioning robot. The circuits are not really connecting 263 00:14:11,537 --> 00:14:13,937 Speaker 1: as much as they used is terrible. 264 00:14:13,937 --> 00:14:15,897 Speaker 2: But at least she can like point him in one 265 00:14:15,937 --> 00:14:18,777 Speaker 2: direction and go and say this, and he's not really connecting. 266 00:14:19,217 --> 00:14:22,137 Speaker 2: And Kamala Harris, on the other hand, is a completely 267 00:14:22,177 --> 00:14:25,137 Speaker 2: empty vessel. She doesn't stand for anything. She doesn't have 268 00:14:25,177 --> 00:14:28,977 Speaker 2: any morals clearly, and she doesn't have any stances on anything. 269 00:14:29,057 --> 00:14:32,257 Speaker 2: So you know, you can blow her. I shouldn't really 270 00:14:32,297 --> 00:14:34,097 Speaker 2: say that, right, but I'm just saying, whichever way the 271 00:14:34,137 --> 00:14:37,697 Speaker 2: wind blows, she will go. And we've seen this flip. 272 00:14:38,137 --> 00:14:41,577 Speaker 2: But at least before they would make their candidates kind 273 00:14:41,577 --> 00:14:46,417 Speaker 2: of charismatic and likable or handsome or good looking, and 274 00:14:46,497 --> 00:14:47,337 Speaker 2: she's none of those. 275 00:14:48,337 --> 00:14:52,057 Speaker 1: Yeah, it's well. I think Democrats knew they got caught 276 00:14:53,257 --> 00:14:56,137 Speaker 1: with their pants down, so to speak here, because they 277 00:14:56,537 --> 00:14:58,337 Speaker 1: really thought that Joe Biden was going to I thought 278 00:14:58,377 --> 00:14:59,617 Speaker 1: that Joe Biden was going to be able to make 279 00:14:59,617 --> 00:15:02,017 Speaker 1: it through. And then you know, they didn't allow for 280 00:15:02,057 --> 00:15:05,617 Speaker 1: a real primary. They didn't allow for the things that 281 00:15:05,657 --> 00:15:07,457 Speaker 1: would need to be in place here to have a 282 00:15:07,457 --> 00:15:10,497 Speaker 1: better candidate. But we'll come back. Let's talk about how 283 00:15:10,497 --> 00:15:13,377 Speaker 1: Democrats feel about political violence in a second. Here we'll 284 00:15:13,417 --> 00:15:16,537 Speaker 1: get to that. Do yourself a favor though, of protecting 285 00:15:16,537 --> 00:15:19,897 Speaker 1: your hard earned money for retirement by putting a portion 286 00:15:20,017 --> 00:15:22,417 Speaker 1: of it in gold, Because the value of your dollars 287 00:15:22,457 --> 00:15:25,817 Speaker 1: is going down over time, Inflation is going to keep happening. 288 00:15:25,817 --> 00:15:28,657 Speaker 1: It's government over spending. 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You see that 307 00:16:16,097 --> 00:16:19,617 Speaker 1: about a third of Democrats are in favor, according to 308 00:16:19,977 --> 00:16:24,297 Speaker 1: polls recently, in favor of violence against President Trump. You 309 00:16:24,337 --> 00:16:27,537 Speaker 1: know this is how but I think that we've just 310 00:16:27,577 --> 00:16:30,617 Speaker 1: been gathering towards this recognition for a while, right, Matthew, 311 00:16:30,657 --> 00:16:34,297 Speaker 1: because of course, to Trump arrangement syndrome. If he's going 312 00:16:34,337 --> 00:16:36,737 Speaker 1: to destroy the country and he's a fascist and he's hitler, 313 00:16:37,097 --> 00:16:38,937 Speaker 1: people are going to start to think really ugly things 314 00:16:38,977 --> 00:16:40,017 Speaker 1: about what they should do to him. 315 00:16:41,497 --> 00:16:41,657 Speaker 3: Yeah. 316 00:16:41,697 --> 00:16:45,097 Speaker 2: I mean, the left is absolutely brilliant when it comes 317 00:16:45,137 --> 00:16:48,777 Speaker 2: to commandeering the language. And I've certainly been saying, ih 318 00:16:48,777 --> 00:16:50,217 Speaker 2: know yah for a long time is you have to 319 00:16:50,217 --> 00:16:53,697 Speaker 2: be very careful when people start talking about someone being 320 00:16:53,697 --> 00:16:56,977 Speaker 2: a Nazi or a white supremacist or a fascist, because 321 00:16:57,417 --> 00:17:02,137 Speaker 2: all those things are evil and you are allowed to 322 00:17:02,217 --> 00:17:06,377 Speaker 2: do drastic things to prevent evil. It doesn't matter that 323 00:17:06,417 --> 00:17:09,617 Speaker 2: it's not true. But they've they've cranked the rhetoric up 324 00:17:09,737 --> 00:17:14,177 Speaker 2: to eleven as a spinal tap reference mm hm. And 325 00:17:14,217 --> 00:17:16,857 Speaker 2: now we're surprised. But it's not just him, it's us 326 00:17:16,897 --> 00:17:20,897 Speaker 2: as well. It's you know, he's I always said it, 327 00:17:20,937 --> 00:17:23,657 Speaker 2: arv and Ava. He's just in the way. And part 328 00:17:23,737 --> 00:17:28,297 Speaker 2: of the issue is because these kids never got smacked 329 00:17:28,297 --> 00:17:32,017 Speaker 2: in the mouth when they were younger, so they don't 330 00:17:32,057 --> 00:17:35,577 Speaker 2: know what that violence really is, what it really means. 331 00:17:35,577 --> 00:17:42,897 Speaker 2: They've been desensitized from what will happen to them should 332 00:17:42,897 --> 00:17:46,417 Speaker 2: they do this. Their their their cosplaying their way through life, 333 00:17:46,897 --> 00:17:49,497 Speaker 2: and that's a huge problem. 334 00:17:49,617 --> 00:17:52,777 Speaker 1: Yeah, I think that their whole political framework is delusional, 335 00:17:52,777 --> 00:17:54,897 Speaker 1: but so is there a view of of day to 336 00:17:54,977 --> 00:17:57,617 Speaker 1: day life and their role in it, and also their 337 00:17:57,937 --> 00:18:01,457 Speaker 1: sense of their own bravery for taking positions that have 338 00:18:01,577 --> 00:18:04,977 Speaker 1: always been the consensus position around them. I mean, I 339 00:18:04,977 --> 00:18:09,537 Speaker 1: think that leftists have a real problem with with facing 340 00:18:10,137 --> 00:18:12,617 Speaker 1: reality as it can be seen by those who do 341 00:18:12,697 --> 00:18:16,497 Speaker 1: not have some disconnect. I know I'm turrending towards what 342 00:18:16,577 --> 00:18:19,497 Speaker 1: is it? Michael Savage, You just always say that liberalism 343 00:18:19,537 --> 00:18:22,257 Speaker 1: is a mental disease or mental disorder. I mean, I 344 00:18:22,297 --> 00:18:27,337 Speaker 1: think Trump's arrangement syndrome is some kind of anxiety disorder. 345 00:18:27,377 --> 00:18:29,697 Speaker 1: I mean, it is some kind of of a psychosis. 346 00:18:29,697 --> 00:18:32,217 Speaker 1: It really is a psychosis, you know. 347 00:18:32,297 --> 00:18:36,417 Speaker 2: I think when you have an absence of a god 348 00:18:37,057 --> 00:18:39,097 Speaker 2: for the most part, it's not all the time, but 349 00:18:39,137 --> 00:18:41,697 Speaker 2: when you have an absence of God, you create them. 350 00:18:42,137 --> 00:18:46,617 Speaker 2: And we've seen this with the way that the left 351 00:18:46,657 --> 00:18:49,897 Speaker 2: treated Biden. For example, I had an argument today on 352 00:18:49,937 --> 00:18:51,817 Speaker 2: social media, which is always a smart thing to. 353 00:18:51,777 --> 00:18:55,097 Speaker 1: Do at this as lowers your blood pressure. By the way, 354 00:18:55,137 --> 00:18:58,977 Speaker 1: it's very satisfying, calms you down. Arguing with Rando's on 355 00:18:59,497 --> 00:19:02,377 Speaker 1: social media. It's going to make you feel great. 356 00:19:02,177 --> 00:19:05,297 Speaker 2: About themes, like Mike six, fy four, three, two, ten, 357 00:19:05,457 --> 00:19:09,017 Speaker 2: nine to eight. You know it really and it serves 358 00:19:09,057 --> 00:19:11,737 Speaker 2: a great purpose. But you know, sometimes you just can't 359 00:19:11,777 --> 00:19:15,177 Speaker 2: help yourself. But the way that they spoke about Biden 360 00:19:15,377 --> 00:19:18,977 Speaker 2: is it's very strange because they would say he's the 361 00:19:19,017 --> 00:19:24,937 Speaker 2: greatest president in our lifetime, which is obviously ridiculous, and 362 00:19:25,417 --> 00:19:28,977 Speaker 2: throwing their other God Obama under the bus right, and 363 00:19:29,017 --> 00:19:31,137 Speaker 2: now they're like, no, no, no, we knew that he 364 00:19:31,217 --> 00:19:34,657 Speaker 2: was incognitive, did decline? Well, did you really? Because five 365 00:19:34,697 --> 00:19:37,017 Speaker 2: seconds ago he was the greatest ever and he was 366 00:19:37,057 --> 00:19:40,137 Speaker 2: going to beat Trump. So they can't even keep their 367 00:19:40,177 --> 00:19:43,537 Speaker 2: stories straight when they have nothing else in their lives 368 00:19:43,537 --> 00:19:46,337 Speaker 2: and the majority of them don't have family, they don't 369 00:19:46,337 --> 00:19:50,777 Speaker 2: have children, they don't value their country. So they're latching 370 00:19:50,857 --> 00:19:54,417 Speaker 2: onto the cult of personality. And that's what the Democrats 371 00:19:54,657 --> 00:19:59,417 Speaker 2: are betting on for the election, because you've seen it 372 00:19:59,457 --> 00:20:01,057 Speaker 2: over and over. If you're going to stop the average 373 00:20:01,097 --> 00:20:03,617 Speaker 2: person in the street, you ask them what they believe, 374 00:20:03,697 --> 00:20:06,377 Speaker 2: what the platform is, they can't tell you. In fact, 375 00:20:06,417 --> 00:20:09,417 Speaker 2: she can't tell you. She doesn't even know. Kamala doesn't 376 00:20:09,417 --> 00:20:12,217 Speaker 2: even know what a platform is. So I think it's 377 00:20:12,257 --> 00:20:15,377 Speaker 2: certainly is we are looking at a at a massive 378 00:20:15,417 --> 00:20:19,377 Speaker 2: amount of in all seriousness, bucket like it's mental illness. 379 00:20:19,817 --> 00:20:21,177 Speaker 2: This is a major. 380 00:20:20,897 --> 00:20:24,777 Speaker 1: Problem well after COVID. I also think that everyone needs 381 00:20:24,777 --> 00:20:27,817 Speaker 1: to understand that there are there are tens of millions 382 00:20:27,817 --> 00:20:32,657 Speaker 1: of Americans who are able to be completely brainwashed and 383 00:20:32,697 --> 00:20:37,137 Speaker 1: become entirely delusional because the system tells them something and 384 00:20:37,177 --> 00:20:40,617 Speaker 1: they will just believe it, and they will also become 385 00:20:40,697 --> 00:20:42,577 Speaker 1: vicious to their neighbors and to people that they know 386 00:20:43,137 --> 00:20:46,057 Speaker 1: over total nonsense, just nonsense, whether it. 387 00:20:47,017 --> 00:20:50,537 Speaker 2: Yeah, because because I think that we've become very soft, 388 00:20:50,817 --> 00:20:54,297 Speaker 2: and I think that we don't have anything, people aren't 389 00:20:54,337 --> 00:20:57,897 Speaker 2: challenged really. I mean, all right, the price of eggs 390 00:20:57,937 --> 00:20:59,937 Speaker 2: has gone up a little bit. For the people that 391 00:20:59,977 --> 00:21:02,657 Speaker 2: are lowered down on the Democratic side that are getting 392 00:21:02,697 --> 00:21:06,937 Speaker 2: the handouts, they don't really feel it. And so these 393 00:21:06,977 --> 00:21:09,737 Speaker 2: people which are mainly in affluent areas, you know, you 394 00:21:10,137 --> 00:21:15,177 Speaker 2: you almost always see these activists at these ivy league colleges. 395 00:21:15,217 --> 00:21:18,857 Speaker 2: They're all from you know, upper middle class backgrounds that 396 00:21:18,897 --> 00:21:21,777 Speaker 2: have never really had to sacrifice anything in their lives. 397 00:21:22,457 --> 00:21:27,577 Speaker 2: So they they're just too comfortable. They don't understand what 398 00:21:27,737 --> 00:21:31,737 Speaker 2: could really happen, you know. For the gen x's, I 399 00:21:31,777 --> 00:21:36,497 Speaker 2: think we're kind of like one of the last, you know, 400 00:21:36,537 --> 00:21:39,737 Speaker 2: groups of people to come through that. Actually I remember 401 00:21:40,217 --> 00:21:43,097 Speaker 2: being under the threat of nuclear war and we were like, okay, 402 00:21:43,217 --> 00:21:46,417 Speaker 2: well let's listen to the charts this weekend. Because you 403 00:21:46,497 --> 00:21:49,337 Speaker 2: just got on with it. And and there are certain people, 404 00:21:49,457 --> 00:21:52,417 Speaker 2: people that were in the in the military that you know, 405 00:21:52,537 --> 00:21:55,617 Speaker 2: gave served the country. They understand what it's like to 406 00:21:55,617 --> 00:21:59,617 Speaker 2: be uncomfortable. These people don't. They don't that they they 407 00:21:59,617 --> 00:22:03,177 Speaker 2: don't know what it's like to do without. And that's 408 00:22:03,337 --> 00:22:07,457 Speaker 2: very worrying. And I think, like I said, they say, 409 00:22:07,457 --> 00:22:12,977 Speaker 2: what harsh times create hard men, right, and and we're 410 00:22:13,017 --> 00:22:16,417 Speaker 2: definitely in a time where we have very soft people. 411 00:22:17,337 --> 00:22:20,377 Speaker 1: Right. Hard times created hard men. Soft times create soft men. 412 00:22:20,497 --> 00:22:24,057 Speaker 1: Soft men create hard times. That goes in the in 413 00:22:24,057 --> 00:22:29,017 Speaker 1: the cycle it goes. Did you see you see the NPR, 414 00:22:29,537 --> 00:22:31,617 Speaker 1: a bunch of guys who work for National Public Radio, 415 00:22:31,857 --> 00:22:34,497 Speaker 1: you know, which is kind of like a less prestigious 416 00:22:34,577 --> 00:22:38,297 Speaker 1: version of the BBC here right uh State broadcasting. You 417 00:22:38,337 --> 00:22:41,057 Speaker 1: see that they had their testosterone check and these were 418 00:22:41,097 --> 00:22:44,017 Speaker 1: guys who were I think were like my age and younger, 419 00:22:44,017 --> 00:22:47,017 Speaker 1: maybe they're in their thirties, and their testosterone was like seventy. 420 00:22:47,697 --> 00:22:49,857 Speaker 1: I mean it was like it was like crazy numbers, 421 00:22:49,897 --> 00:22:50,777 Speaker 1: crazy numbers. 422 00:22:50,857 --> 00:22:53,457 Speaker 2: I mean, I'm not surprised. And all the ones that 423 00:22:53,617 --> 00:22:56,737 Speaker 2: all the time when people talk about violence and they 424 00:22:56,817 --> 00:22:58,337 Speaker 2: want to be violent, they want to be this. You 425 00:22:58,337 --> 00:22:59,297 Speaker 2: look at them and I'm like. 426 00:22:59,777 --> 00:23:03,257 Speaker 1: No, what they want is state violence. They want state 427 00:23:03,377 --> 00:23:06,537 Speaker 1: violence on their behalf. Actually that's really what they want. 428 00:23:06,857 --> 00:23:09,737 Speaker 1: They want men with guns and the power of the 429 00:23:09,817 --> 00:23:12,537 Speaker 1: state behind them to beat you with truncheons and make 430 00:23:12,617 --> 00:23:15,297 Speaker 1: you do things or else. They don't want to get 431 00:23:15,297 --> 00:23:17,497 Speaker 1: their hands dirty themselves usually. I mean you see like 432 00:23:17,537 --> 00:23:22,337 Speaker 1: these Antifa lunatics. Every guy who's an Antifa weighs about 433 00:23:22,337 --> 00:23:24,817 Speaker 1: one hundred and twenty pounds and looks like he could 434 00:23:24,817 --> 00:23:27,737 Speaker 1: bench a solid thirty thirty five pounds. It's a joke, 435 00:23:27,857 --> 00:23:30,977 Speaker 1: it's preposterous. But you know they're running around like, well, 436 00:23:30,977 --> 00:23:33,857 Speaker 1: he's stopping fascism, Like, no, you're not. Actually you're not 437 00:23:33,897 --> 00:23:34,617 Speaker 1: stopping fashion. 438 00:23:34,657 --> 00:23:39,057 Speaker 2: Yeah, no, you're just stopping your testosterone. I mean, you 439 00:23:39,177 --> 00:23:41,457 Speaker 2: saw when the Proud Boys like actually went up and 440 00:23:41,457 --> 00:23:43,777 Speaker 2: confronted them, they just collapsed. I mean, it was it 441 00:23:43,857 --> 00:23:47,057 Speaker 2: was absolute joke. But you know, you know again, this 442 00:23:47,177 --> 00:23:49,057 Speaker 2: is a serious thing. I mean, you know, we can 443 00:23:49,137 --> 00:23:52,137 Speaker 2: joke about it because it's so absurd, but I think 444 00:23:52,177 --> 00:23:56,377 Speaker 2: that this the squeaky wheel gets the oil, and we're 445 00:23:56,417 --> 00:24:00,137 Speaker 2: seeing that over and over and unfortunately, you have mainly 446 00:24:00,217 --> 00:24:04,097 Speaker 2: conservatives right that are out there working. They've got decent jobs. 447 00:24:04,137 --> 00:24:09,697 Speaker 2: They don't have time for all this political activism. And Shenanigan's. 448 00:24:09,737 --> 00:24:13,097 Speaker 2: But the problem is is that now we're in a 449 00:24:13,137 --> 00:24:16,617 Speaker 2: situation where we're in a dire place. So people are 450 00:24:16,617 --> 00:24:18,777 Speaker 2: going to have to really stop and say, hang on 451 00:24:18,857 --> 00:24:21,577 Speaker 2: a second, what's the point in doing all this if 452 00:24:21,577 --> 00:24:24,377 Speaker 2: I don't have a country and that's where we are. 453 00:24:24,457 --> 00:24:27,577 Speaker 2: I mean, to me, it's really really clear. I'm seeing 454 00:24:27,617 --> 00:24:31,017 Speaker 2: it on a daily basis, and people are really struggling. 455 00:24:31,137 --> 00:24:37,217 Speaker 2: They're frustrated, they're angry, and we don't really have anyone certainly. 456 00:24:37,257 --> 00:24:43,177 Speaker 2: I mean if Kamala and the showboat guy, you know, 457 00:24:43,217 --> 00:24:45,577 Speaker 2: he's like he does musicals, right, That's what he looks 458 00:24:45,617 --> 00:24:46,297 Speaker 2: like to me, he's. 459 00:24:46,137 --> 00:24:50,817 Speaker 3: Going to go hello, Yeah, it was is going to 460 00:24:50,897 --> 00:24:55,177 Speaker 3: be like you know, when gets sworn in, he's going 461 00:24:55,257 --> 00:24:57,097 Speaker 3: to be like hello everybody. 462 00:24:58,057 --> 00:25:00,697 Speaker 2: It's like he did a music theater major. Not he 463 00:25:00,737 --> 00:25:03,017 Speaker 2: wasn't a sergeant major. It's a music theater major. 464 00:25:03,137 --> 00:25:04,857 Speaker 1: I mean he does. He does look like if you 465 00:25:04,977 --> 00:25:07,577 Speaker 1: keep saying mean things about him, Matthew, he's going to 466 00:25:07,657 --> 00:25:09,937 Speaker 1: complain to his wife's boyfriend and he's going to threaten 467 00:25:10,097 --> 00:25:13,577 Speaker 1: beat you up. So there you go. Hold on one second. 468 00:25:13,737 --> 00:25:15,457 Speaker 1: I want to give you a final call out here, 469 00:25:15,457 --> 00:25:19,377 Speaker 1: but first, our sponsor IFCJ. If you've been paying attention 470 00:25:19,377 --> 00:25:21,457 Speaker 1: to the headlines, you all see it. What's going on 471 00:25:21,457 --> 00:25:26,337 Speaker 1: in Israel right now, possibility of an incursion into Lebanon 472 00:25:26,417 --> 00:25:30,137 Speaker 1: to fight Hesbelah because Hesbela is firing rockets still into Israel. 473 00:25:30,777 --> 00:25:33,217 Speaker 1: This is a time when Israel's allies need to stand 474 00:25:33,257 --> 00:25:35,777 Speaker 1: with the Israeli people. For more than forty years, the 475 00:25:35,777 --> 00:25:38,257 Speaker 1: IFCJ has been on the ground in Israel. Within hours 476 00:25:38,257 --> 00:25:41,177 Speaker 1: of the attacks by Hamas soldiers last October and every 477 00:25:41,217 --> 00:25:44,057 Speaker 1: day since. IFCJ has been feeding the hungry and protecting 478 00:25:44,057 --> 00:25:48,937 Speaker 1: the vulnerable. Support IFCJ join them in this mission. Go 479 00:25:49,097 --> 00:25:55,097 Speaker 1: to SUPPORTIFCJ dot org. That support IFCJ dot org. Matthew 480 00:25:55,137 --> 00:25:56,657 Speaker 1: always so great to have you on the show man, 481 00:25:56,697 --> 00:25:58,137 Speaker 1: Thank you for being here. Where can people go to 482 00:25:58,177 --> 00:26:01,617 Speaker 1: follow your work and you know, just keep you in 483 00:26:01,657 --> 00:26:02,217 Speaker 1: the fight. 484 00:26:02,937 --> 00:26:06,817 Speaker 2: All right. Please go to Matthew at Matthew D. Marsden 485 00:26:06,897 --> 00:26:11,577 Speaker 2: both on YouTube and on Twitter. That would be awesome. 486 00:26:11,577 --> 00:26:14,417 Speaker 2: Thank you everyone, and actually on Instagram if you like that. 487 00:26:14,537 --> 00:26:15,417 Speaker 2: If that froach your. 488 00:26:15,297 --> 00:26:17,257 Speaker 1: Boat, Thank you, my man. Good to talk to you 489 00:26:17,297 --> 00:26:17,777 Speaker 1: as always. 490 00:26:18,497 --> 00:26:19,097 Speaker 2: Thank you, brother,