1 00:00:01,440 --> 00:00:04,320 Speaker 1: So there are two questions we're going to try to 2 00:00:04,360 --> 00:00:06,840 Speaker 1: dig into in today's show. 3 00:00:07,480 --> 00:00:09,840 Speaker 2: Where are we culturally as a. 4 00:00:09,840 --> 00:00:14,320 Speaker 1: Country posts the twenty twenty four election, and what is 5 00:00:14,320 --> 00:00:17,520 Speaker 1: the state of today's media? 6 00:00:17,640 --> 00:00:18,680 Speaker 2: Where are we culturally? 7 00:00:18,800 --> 00:00:21,880 Speaker 1: You know, you look since President Trump was elected and 8 00:00:21,880 --> 00:00:26,439 Speaker 1: has taken office, that DEI is de Men are no 9 00:00:26,560 --> 00:00:29,720 Speaker 1: longer desired to play in women's sports. He has made 10 00:00:29,720 --> 00:00:33,000 Speaker 1: that clear. Men are men, women or women. There are 11 00:00:33,040 --> 00:00:35,680 Speaker 1: only two genders, is what he has been clear and 12 00:00:35,720 --> 00:00:39,600 Speaker 1: has stated. But also, where is the media today? And 13 00:00:39,680 --> 00:00:43,240 Speaker 1: what should we make of the coverage of President Trump's 14 00:00:43,479 --> 00:00:47,320 Speaker 1: second term so far? And where's the media heading when 15 00:00:47,400 --> 00:00:51,400 Speaker 1: you see MSNBC and CNN in a free fall? So 16 00:00:51,479 --> 00:00:53,360 Speaker 1: what does that mean for the mainstream media? What does 17 00:00:53,360 --> 00:00:55,520 Speaker 1: that mean for the rest of the media. We're going 18 00:00:55,560 --> 00:00:57,840 Speaker 1: to get into these two topics with someone who I 19 00:00:58,000 --> 00:01:00,840 Speaker 1: trust very much to have this conversation and who is 20 00:01:00,920 --> 00:01:04,560 Speaker 1: constantly writing about both culture as well as the state 21 00:01:04,600 --> 00:01:06,840 Speaker 1: of the media, and has done so very accurately and 22 00:01:06,880 --> 00:01:10,000 Speaker 1: with a very clear and interesting voice. His name is 23 00:01:10,040 --> 00:01:12,080 Speaker 1: Bobby Barrock and he works for OutKick. 24 00:01:12,720 --> 00:01:13,360 Speaker 2: So we're gonna have a. 25 00:01:13,400 --> 00:01:16,160 Speaker 1: Mind it to talk about all these issues and then also, 26 00:01:16,160 --> 00:01:21,440 Speaker 1: why has Elon Musk become target number one target numero. 27 00:01:21,560 --> 00:01:25,800 Speaker 1: You know, we see him constantly in the headlines, constantly 28 00:01:25,840 --> 00:01:29,280 Speaker 1: attacked by the media, So why is he and what 29 00:01:29,360 --> 00:01:32,400 Speaker 1: are his true motivations? So all of that and more 30 00:01:32,480 --> 00:01:40,840 Speaker 1: with my friend Bobby Burrock from OutKick Stay tuned. Well, Bobby, 31 00:01:40,880 --> 00:01:43,800 Speaker 1: it's great to have you on a lot to talk 32 00:01:43,840 --> 00:01:46,280 Speaker 1: about going on in the media, so appreciate you making 33 00:01:46,319 --> 00:01:46,679 Speaker 1: the time. 34 00:01:47,760 --> 00:01:49,600 Speaker 3: Yeah, Lisa, of course, happy to be here. 35 00:01:50,440 --> 00:01:52,680 Speaker 1: Well, first of all, before we get started about you know, 36 00:01:52,720 --> 00:01:55,880 Speaker 1: political stuff and you know, more important stuff, what did 37 00:01:55,920 --> 00:01:57,480 Speaker 1: you think of the Super Bowl? 38 00:01:59,040 --> 00:02:05,240 Speaker 3: It was probably the worst game super Bowl wise in 39 00:02:05,280 --> 00:02:10,280 Speaker 3: a long time. It's interesting because over half of the 40 00:02:10,360 --> 00:02:13,839 Speaker 3: people who watched the Super Bowl don't watch any other 41 00:02:13,960 --> 00:02:18,200 Speaker 3: football game all year, so it's supposed to be a 42 00:02:18,240 --> 00:02:21,440 Speaker 3: demonstration of how great the product was, and it was 43 00:02:21,520 --> 00:02:26,000 Speaker 3: just awful. The game was so uncompetitive it felt over 44 00:02:26,200 --> 00:02:28,320 Speaker 3: by the end of the first quarter. And I know 45 00:02:28,919 --> 00:02:31,120 Speaker 3: you and I were texting. I think you declared it 46 00:02:31,160 --> 00:02:35,000 Speaker 3: over after the Eagles went up seventeen to zero, after 47 00:02:35,040 --> 00:02:37,799 Speaker 3: they pick six, and you end up being right. I know, 48 00:02:37,840 --> 00:02:38,520 Speaker 3: what did you think? 49 00:02:38,919 --> 00:02:43,080 Speaker 1: Well, so I played sports competitively growing up, and you 50 00:02:43,120 --> 00:02:45,079 Speaker 1: could just tell out of the gate the beginning of 51 00:02:45,120 --> 00:02:47,120 Speaker 1: the game that the Eagles came to play and the 52 00:02:47,200 --> 00:02:50,359 Speaker 1: Chiefs were off balance, and so like from the beginning, 53 00:02:50,560 --> 00:02:53,600 Speaker 1: I think I like tweeted something about, you know, like, 54 00:02:53,680 --> 00:02:56,240 Speaker 1: oh man, the Eagles came to play tonight. And so 55 00:02:56,480 --> 00:02:59,000 Speaker 1: after that I kind of felt like, you know, I 56 00:02:59,000 --> 00:03:01,400 Speaker 1: don't know, I didn't know if the Chiefs were going 57 00:03:01,440 --> 00:03:03,120 Speaker 1: to be able to kind of get their footing again, 58 00:03:03,160 --> 00:03:05,320 Speaker 1: and they were unable to do so, so I think 59 00:03:05,360 --> 00:03:08,079 Speaker 1: the Eagles just came out strong and you know, came 60 00:03:08,120 --> 00:03:09,400 Speaker 1: to play and the Chiefs didn't. 61 00:03:09,480 --> 00:03:11,400 Speaker 2: That's really all it came down to. But what did 62 00:03:11,440 --> 00:03:12,079 Speaker 2: you think about? 63 00:03:13,120 --> 00:03:16,120 Speaker 1: So we saw President Trump on the jumbo tron and 64 00:03:16,160 --> 00:03:19,000 Speaker 1: it sounded like, you know, he received cheers from the 65 00:03:19,000 --> 00:03:21,600 Speaker 1: crowd and excited crowd to see him. And then they 66 00:03:21,639 --> 00:03:25,480 Speaker 1: showed Taylor Swift and she got booze from the crowd. 67 00:03:26,440 --> 00:03:29,640 Speaker 1: Is that indicative of anything or are we reading too 68 00:03:29,720 --> 00:03:33,000 Speaker 1: much into that? You know, there were you know, Eagles 69 00:03:33,000 --> 00:03:36,200 Speaker 1: fans tend to be a little bit more aggressive, like, yeah, 70 00:03:36,280 --> 00:03:38,960 Speaker 1: they destroy their city win or lose, like most fans 71 00:03:39,000 --> 00:03:39,440 Speaker 1: don't do. 72 00:03:39,480 --> 00:03:40,880 Speaker 3: That, you know. 73 00:03:40,920 --> 00:03:43,480 Speaker 1: So so was that just like a product of you know, 74 00:03:43,560 --> 00:03:47,680 Speaker 1: Eagles fans hating her, or is that sort of does 75 00:03:47,720 --> 00:03:49,960 Speaker 1: that tell us a little bit something about the vibe 76 00:03:49,960 --> 00:03:52,280 Speaker 1: shift in the country and the direction we're heading in. 77 00:03:53,160 --> 00:03:56,760 Speaker 3: So there was a New York Times Siena pull that 78 00:03:56,880 --> 00:04:01,480 Speaker 3: came out in August that said that nation Taylor Swift 79 00:04:01,560 --> 00:04:05,720 Speaker 3: had a lower approval rating than President Trump, and a 80 00:04:05,720 --> 00:04:08,760 Speaker 3: lot of people, including me, said, well, how can that 81 00:04:08,800 --> 00:04:12,440 Speaker 3: be true. She's a celebrity, he's a presidential candidate. No 82 00:04:12,480 --> 00:04:16,719 Speaker 3: matter what political party you are, your approval rating tends 83 00:04:16,760 --> 00:04:22,000 Speaker 3: to be lower than most celebrities, particularly one as famous 84 00:04:22,040 --> 00:04:27,000 Speaker 3: as she is. But I do wonder if that poll 85 00:04:27,120 --> 00:04:31,120 Speaker 3: was accurate. Now because Lisa, something really interesting has happened 86 00:04:31,160 --> 00:04:37,240 Speaker 3: where the country no longer looks up to celebrities, but 87 00:04:37,279 --> 00:04:40,800 Speaker 3: in a lot of ways we despise them. We look 88 00:04:40,839 --> 00:04:44,000 Speaker 3: at them as out of touch with us normal people, 89 00:04:44,360 --> 00:04:47,719 Speaker 3: that they don't have our best interest in mind. And 90 00:04:47,760 --> 00:04:50,240 Speaker 3: I don't think it helped Kamala Harris at all that 91 00:04:50,360 --> 00:04:54,880 Speaker 3: all those celebrities Beyonce A jay z in a running 92 00:04:54,920 --> 00:04:58,760 Speaker 3: list came out and said we need her as president 93 00:04:59,160 --> 00:05:02,960 Speaker 3: and the invert so that I think Donald Trump, we 94 00:05:03,120 --> 00:05:08,520 Speaker 3: used to talk about this silent majority. Now that silent 95 00:05:08,600 --> 00:05:12,360 Speaker 3: majority is no longer afraid to show their support for him, 96 00:05:12,800 --> 00:05:14,800 Speaker 3: but they're proud of it. And you go to big 97 00:05:14,880 --> 00:05:18,640 Speaker 3: cities across the country, you see far more maga hats. 98 00:05:18,680 --> 00:05:21,760 Speaker 3: People are more willing to embrace their support for Trump. 99 00:05:22,000 --> 00:05:24,120 Speaker 3: So I think not only is it a vibe shift, 100 00:05:24,520 --> 00:05:28,520 Speaker 3: but people are not self censoring their support for him anymore. 101 00:05:28,800 --> 00:05:31,320 Speaker 3: They're coming to it. I think it's a very big 102 00:05:31,440 --> 00:05:32,839 Speaker 3: positive development. 103 00:05:33,960 --> 00:05:35,880 Speaker 1: Well, I think, you know, people just got beaten down 104 00:05:35,960 --> 00:05:38,440 Speaker 1: for too long with you know, everything from you know, 105 00:05:38,520 --> 00:05:42,040 Speaker 1: COVID to to racism, to sexism to you know, all 106 00:05:42,120 --> 00:05:44,440 Speaker 1: this stuff, and people just kind of got tired of 107 00:05:44,480 --> 00:05:48,280 Speaker 1: being told they can't say things, or you know, or 108 00:05:48,560 --> 00:05:52,080 Speaker 1: everything being tainted as some sort of negative when when 109 00:05:52,080 --> 00:05:52,479 Speaker 1: it was not. 110 00:05:54,560 --> 00:05:54,760 Speaker 2: You know. 111 00:05:54,839 --> 00:05:57,720 Speaker 1: So, we had an anonymous TV exec before the election 112 00:05:58,000 --> 00:06:00,520 Speaker 1: say that if Trump were to win the that would 113 00:06:00,560 --> 00:06:04,760 Speaker 1: mean the mainstream media is dead. What is the state 114 00:06:04,839 --> 00:06:08,040 Speaker 1: of the mainstream media today post presidential election. 115 00:06:09,560 --> 00:06:14,320 Speaker 3: It's the weakest that it's ever been by far. I 116 00:06:14,360 --> 00:06:16,080 Speaker 3: don't know if I'll go dead, because I think there 117 00:06:16,120 --> 00:06:20,279 Speaker 3: are still a sub section of Americans who rely on 118 00:06:20,320 --> 00:06:24,120 Speaker 3: the ABC's and New York Times, NBC's and CBS is. 119 00:06:24,560 --> 00:06:29,239 Speaker 3: But Lisa, they don't have the influence that they once had. 120 00:06:29,560 --> 00:06:34,080 Speaker 3: I was discussing this with someone last week. Five years ago. 121 00:06:34,520 --> 00:06:38,560 Speaker 3: I don't know if Pete Hegseeth could have survived because 122 00:06:38,600 --> 00:06:42,839 Speaker 3: of how ferocious and vile the attacks were from the press. 123 00:06:43,360 --> 00:06:47,159 Speaker 3: But it didn't matter because the more they lied about him, 124 00:06:47,200 --> 00:06:50,520 Speaker 3: the more they reported on him inaccurately. I think the 125 00:06:50,600 --> 00:06:54,400 Speaker 3: more Republicans get rallied around him, and people on the 126 00:06:54,440 --> 00:06:57,640 Speaker 3: outside said, well, if Pete's an enemy of them, he 127 00:06:57,800 --> 00:07:04,279 Speaker 3: must be for us. For almost a decade, these journalists, 128 00:07:04,600 --> 00:07:10,720 Speaker 3: television pundits, fact checkers, and political analysts have lied and 129 00:07:10,800 --> 00:07:16,160 Speaker 3: deceived their supporters. I mean it started most famously with 130 00:07:16,320 --> 00:07:19,360 Speaker 3: the Russia hoax, and I think it ended with that 131 00:07:19,480 --> 00:07:22,400 Speaker 3: Liz Cheney hoax. Were a few days before the election, 132 00:07:22,800 --> 00:07:26,320 Speaker 3: it was plastered all across the Internet and television that 133 00:07:26,360 --> 00:07:30,400 Speaker 3: Trump vowed to execute Liz Cheney. He never said that. 134 00:07:30,720 --> 00:07:33,920 Speaker 3: But you look at the duration between eight years from 135 00:07:33,920 --> 00:07:37,000 Speaker 3: the Russia hoax to that lie, and there was so 136 00:07:37,200 --> 00:07:43,160 Speaker 3: many in between. The bloodbath hoax, lying about COVID, misquoting 137 00:07:43,240 --> 00:07:46,800 Speaker 3: Donald Trump. Some of the George Floyd lies. When you 138 00:07:47,080 --> 00:07:50,640 Speaker 3: lie over and over again, people are eventually going to 139 00:07:50,680 --> 00:07:53,200 Speaker 3: catch on. Now. It took a lot longer than any 140 00:07:53,200 --> 00:07:54,880 Speaker 3: of us have hoped for because I think you and 141 00:07:54,960 --> 00:07:58,040 Speaker 3: I know the mainstream media hasn't been honest in a 142 00:07:58,200 --> 00:08:01,480 Speaker 3: very long time. But something very interesting happened ahead of 143 00:08:01,480 --> 00:08:08,320 Speaker 3: the election where the most influential voices were independent podcast 144 00:08:09,440 --> 00:08:13,680 Speaker 3: Joe Rogan, Theo Vaughn Busting with the Boys. These are 145 00:08:13,720 --> 00:08:19,880 Speaker 3: not shows connected to billion dollar conglomerates. These are just 146 00:08:20,000 --> 00:08:24,080 Speaker 3: people who operate their shows independently, and as far as 147 00:08:24,480 --> 00:08:29,640 Speaker 3: reaching people and changing their minds and opening up different conversations, 148 00:08:30,000 --> 00:08:33,160 Speaker 3: the media and the mainstream side doesn't do that anymore, 149 00:08:35,320 --> 00:08:35,480 Speaker 3: you know. 150 00:08:35,760 --> 00:08:38,160 Speaker 2: But I mean, I guess one thing that we see. 151 00:08:37,960 --> 00:08:40,560 Speaker 1: A lot though, is, you know, people in the media 152 00:08:40,559 --> 00:08:42,800 Speaker 1: like Johnny Come Lately is right, like even Bill Maher 153 00:08:43,080 --> 00:08:45,840 Speaker 1: or like Stephen A. Smith or whatever, you know, like 154 00:08:46,480 --> 00:08:49,680 Speaker 1: they arrive at the right conclusion like five months too late, 155 00:08:49,760 --> 00:08:51,480 Speaker 1: and then people give them a pat on the back 156 00:08:51,520 --> 00:08:52,880 Speaker 1: and congratulate them for it. 157 00:08:54,240 --> 00:08:57,840 Speaker 3: Yeah, Stephen A. Smith, such a great point, because that's 158 00:08:57,880 --> 00:09:03,880 Speaker 3: exactly what he's doing. He makes very weak points. Then 159 00:09:03,960 --> 00:09:08,079 Speaker 3: he's wrong then he admits he's wrong, and everybody pats 160 00:09:08,160 --> 00:09:10,320 Speaker 3: him on the back and says that he's been a 161 00:09:10,360 --> 00:09:13,040 Speaker 3: red pill. Not not really. I think Stephen A. Smith 162 00:09:13,160 --> 00:09:15,560 Speaker 3: is honestly just a grifter. I don't find him all 163 00:09:15,600 --> 00:09:19,640 Speaker 3: that intelligent or all that smart. Bill Maher is smart 164 00:09:19,679 --> 00:09:23,880 Speaker 3: and intelligent, but he doesn't have very good I don't 165 00:09:23,880 --> 00:09:26,439 Speaker 3: think his read on stories are good early on. I 166 00:09:26,440 --> 00:09:28,679 Speaker 3: think it takes him a very long time to realize 167 00:09:28,960 --> 00:09:33,320 Speaker 3: what is the right conclusion, particularly the COVID vaccine. I mean, 168 00:09:33,360 --> 00:09:37,440 Speaker 3: how many people demanded everybody get the JAB and then 169 00:09:37,800 --> 00:09:40,559 Speaker 3: a couple of years later they realize, yeah, maybe we're 170 00:09:40,559 --> 00:09:44,199 Speaker 3: too aggressive, maybe we should have asked more questions. But 171 00:09:44,640 --> 00:09:48,360 Speaker 3: so much of the media now is based on I 172 00:09:48,400 --> 00:09:52,720 Speaker 3: think perception and people wanting to fit in feel like 173 00:09:53,280 --> 00:09:57,000 Speaker 3: they're important, and that's why they all rally behind the 174 00:09:57,080 --> 00:10:01,760 Speaker 3: exact same talking points over over again. And someone like 175 00:10:01,840 --> 00:10:06,280 Speaker 3: Joe Rogan is such an interesting case study because I 176 00:10:06,280 --> 00:10:10,960 Speaker 3: don't think he's the most thought provoking voice. He's not 177 00:10:11,000 --> 00:10:15,720 Speaker 3: the most interesting, But what he is is curious. He 178 00:10:15,840 --> 00:10:20,400 Speaker 3: will listen to people with different viewpoints, he will ask questions, 179 00:10:21,240 --> 00:10:24,600 Speaker 3: he will sit there and wonder if you're making a 180 00:10:24,640 --> 00:10:27,480 Speaker 3: point he didn't understand. And if you look at who's 181 00:10:27,520 --> 00:10:32,600 Speaker 3: having success and who's not, Americans want curiosity. They don't 182 00:10:32,600 --> 00:10:38,240 Speaker 3: want to be browbeaten by some ivy league educated person 183 00:10:38,400 --> 00:10:41,120 Speaker 3: with fancy hair and black suits telling them how to 184 00:10:41,160 --> 00:10:44,160 Speaker 3: live their lives. They want to hear the questions that 185 00:10:44,200 --> 00:10:44,840 Speaker 3: they would ask. 186 00:10:45,720 --> 00:10:47,160 Speaker 1: Well, it's good to hear because I went to the 187 00:10:47,200 --> 00:10:51,400 Speaker 1: University of Tennessee. We've got more of Bobby in just 188 00:10:51,440 --> 00:10:54,760 Speaker 1: a moment. But first, why are to Fish coffee? They 189 00:10:54,760 --> 00:10:57,000 Speaker 1: believe in more than just a good cup of coffee. 190 00:10:57,400 --> 00:11:00,480 Speaker 1: They believe in values, the values of her to work, 191 00:11:00,679 --> 00:11:04,120 Speaker 1: faith in stewardship. That's why twenty five percent of every 192 00:11:04,160 --> 00:11:07,959 Speaker 1: purchase goes back to the causes that matter, eighteen percent 193 00:11:08,040 --> 00:11:11,280 Speaker 1: to faith based initiatives, and seven percent helps conservation and 194 00:11:11,360 --> 00:11:12,720 Speaker 1: clean water projects. 195 00:11:13,160 --> 00:11:14,760 Speaker 2: Wired to Fish Coffee is a fair. 196 00:11:14,640 --> 00:11:19,880 Speaker 1: Trade source, ensuring ethical practices and supporting hardworking farmers. Every 197 00:11:19,960 --> 00:11:24,120 Speaker 1: sip offers rich, bold flavor with a smooth finish, no bitterness, 198 00:11:24,600 --> 00:11:27,400 Speaker 1: just the way coffee should be. So why not make 199 00:11:27,440 --> 00:11:31,480 Speaker 1: your coffee count? Head over to wiredofishcoffee dot com. That's 200 00:11:31,520 --> 00:11:35,280 Speaker 1: Wired the number two fishcoffee dot com. 201 00:11:35,679 --> 00:11:36,320 Speaker 2: Do it today. 202 00:11:36,880 --> 00:11:40,000 Speaker 1: Don't forget to use code Lisa for ten percent off 203 00:11:40,000 --> 00:11:40,760 Speaker 1: your first order. 204 00:11:41,240 --> 00:11:43,240 Speaker 2: Together we can brew a better tomorrow. 205 00:11:46,640 --> 00:11:50,600 Speaker 1: We're seeing CNN and MSNBC kind of in a free fall. 206 00:11:51,040 --> 00:11:54,000 Speaker 1: You know, MSNBC is going to be spun off. You 207 00:11:54,040 --> 00:11:56,839 Speaker 1: look at CNN after the election, they saw forty five 208 00:11:56,880 --> 00:12:01,520 Speaker 1: percent drop in their primetime viewership. You know they last 209 00:12:01,600 --> 00:12:03,880 Speaker 1: year they had the worst performance among viewers and the 210 00:12:03,920 --> 00:12:04,840 Speaker 1: key demographic. 211 00:12:05,760 --> 00:12:06,440 Speaker 2: The revenue is. 212 00:12:06,440 --> 00:12:11,120 Speaker 1: Following as well. What does it mean for MSNBC and 213 00:12:11,280 --> 00:12:15,480 Speaker 1: CNN are either salvagable or you know, what's the future 214 00:12:15,600 --> 00:12:16,559 Speaker 1: for those networks? 215 00:12:17,440 --> 00:12:20,760 Speaker 3: I think is one of the fascinating questions of media 216 00:12:20,760 --> 00:12:23,280 Speaker 3: over the next four years. These are two networks that 217 00:12:23,679 --> 00:12:28,840 Speaker 3: as of right now really are on unsustainable trajectories because 218 00:12:29,080 --> 00:12:31,960 Speaker 3: now are they losing revenue. I think CNN has lost 219 00:12:32,040 --> 00:12:35,240 Speaker 3: some four hundred million dollars in the past two to 220 00:12:35,360 --> 00:12:41,080 Speaker 3: three years. The salary costs remain very high, and when 221 00:12:41,120 --> 00:12:44,120 Speaker 3: they no longer making as much money, well you're on 222 00:12:44,200 --> 00:12:46,560 Speaker 3: a path to lose money. We saw this happen with 223 00:12:46,920 --> 00:12:52,319 Speaker 3: Late Night. James Cordon left CBS, but he didn't really leave. 224 00:12:52,520 --> 00:12:55,960 Speaker 3: CBS pushed him out because his show was losing on 225 00:12:56,040 --> 00:12:59,160 Speaker 3: average twenty million dollars a year. You give a TV 226 00:12:59,240 --> 00:13:02,960 Speaker 3: anchor a lot of money, they no longer draw advertising revenue. 227 00:13:03,080 --> 00:13:06,240 Speaker 3: Then you become a show in the red. And that's 228 00:13:06,280 --> 00:13:09,600 Speaker 3: the risk that CNN and MSNBC are on right now, 229 00:13:09,720 --> 00:13:14,840 Speaker 3: is that they cannot continue to pay Rachel Maddow twenty 230 00:13:14,840 --> 00:13:18,680 Speaker 3: five million dollars a year Anderson Cooper twenty million dollars 231 00:13:18,679 --> 00:13:21,840 Speaker 3: a year when these shows are barely averaging a million 232 00:13:21,920 --> 00:13:24,920 Speaker 3: viewers and CNN's case, I think their top rated show 233 00:13:25,000 --> 00:13:29,600 Speaker 3: is averaging fewer than seven hundred thousand viewers. It becomes 234 00:13:29,640 --> 00:13:35,000 Speaker 3: a point of discussion, what do these networks provide viewers. 235 00:13:36,240 --> 00:13:40,280 Speaker 3: They're not independent, they don't say anything differently than you 236 00:13:40,280 --> 00:13:42,880 Speaker 3: get in the broadcast news. I guess they're a bit 237 00:13:42,920 --> 00:13:45,480 Speaker 3: more animated. I mean, if you like what Joey Reid 238 00:13:45,520 --> 00:13:49,400 Speaker 3: has to say and that sort of nastiness. But in general, 239 00:13:49,880 --> 00:13:54,640 Speaker 3: they're not selling their viewers, not anything they want. And 240 00:13:54,640 --> 00:13:57,320 Speaker 3: they've lost trust too. There was just a study that 241 00:13:57,400 --> 00:14:02,720 Speaker 3: came out that these legacy news networks have the least 242 00:14:02,800 --> 00:14:07,880 Speaker 3: amount of trust among the American people, meaning the American 243 00:14:07,920 --> 00:14:12,760 Speaker 3: people trust Congress more than they trust CNN. And MSNBC, 244 00:14:13,080 --> 00:14:15,920 Speaker 3: and that's just a devastating study. I mean, my prediction 245 00:14:16,080 --> 00:14:20,960 Speaker 3: is is that Warner brother Discovery, the parent company of CNN, 246 00:14:21,120 --> 00:14:23,240 Speaker 3: will look to sell the cable network in the next 247 00:14:23,240 --> 00:14:28,280 Speaker 3: four years. As far as MSNBC, Comcast is spinning them off, 248 00:14:28,320 --> 00:14:31,240 Speaker 3: we'll see if that's approved. But if that happens, I 249 00:14:31,240 --> 00:14:34,280 Speaker 3: think you'll see the network become pretty low rent as 250 00:14:34,320 --> 00:14:38,120 Speaker 3: they no longer have NBC News to back them financially 251 00:14:38,560 --> 00:14:44,880 Speaker 3: or editorially. And what about CNN, Yeah, I think their 252 00:14:44,920 --> 00:14:47,800 Speaker 3: parent company, WBD will look to sell them at some 253 00:14:47,880 --> 00:14:53,880 Speaker 3: point because what's really interesting is that company is struggling 254 00:14:53,960 --> 00:14:58,880 Speaker 3: so mightily because they're reliant on cable channels, which Wall 255 00:14:58,880 --> 00:15:03,000 Speaker 3: Street considers quote unquote dead weight. So the only growth 256 00:15:03,040 --> 00:15:07,720 Speaker 3: potential WBD has is with the streaming service Max. So 257 00:15:07,800 --> 00:15:13,560 Speaker 3: CNN actually holds them back, which is what Comcasts calculated 258 00:15:13,600 --> 00:15:17,880 Speaker 3: as well. The reason that they are spinning off USA 259 00:15:17,920 --> 00:15:22,760 Speaker 3: network MSNBC is because they need to separate them from Peacock, 260 00:15:23,040 --> 00:15:24,960 Speaker 3: which is their only growth prospect. 261 00:15:25,840 --> 00:15:28,240 Speaker 2: Why do you think CNN Plus did so terribly. 262 00:15:30,240 --> 00:15:32,360 Speaker 3: Well? I think we nobody wants to watch your channel 263 00:15:32,400 --> 00:15:35,000 Speaker 3: for free and you start charging people for it. It's 264 00:15:35,000 --> 00:15:37,880 Speaker 3: always a bad idea. I think that's point number one. 265 00:15:38,000 --> 00:15:40,760 Speaker 3: But I mean it really comes down to Lisa. CNN 266 00:15:41,040 --> 00:15:45,680 Speaker 3: doesn't employ personalities that people want to hear from, right, 267 00:15:45,920 --> 00:15:51,560 Speaker 3: I mean, what was CNN plus Brian Stelter, Jamel Hill, 268 00:15:52,280 --> 00:15:58,600 Speaker 3: Rex Chapman, Jake Tapper's book club, someone named Casey Haunt 269 00:15:58,600 --> 00:16:01,000 Speaker 3: who I didn't even know at the time. When you're 270 00:16:01,120 --> 00:16:04,280 Speaker 3: telling people, hey, pay us seven dollars a month to 271 00:16:04,360 --> 00:16:07,360 Speaker 3: hear from these people, They're like, well, well do we 272 00:16:07,440 --> 00:16:10,520 Speaker 3: care about any of them? Right? If you're gonna charge 273 00:16:10,560 --> 00:16:15,240 Speaker 3: somebody a monthly fee, you better employ some really important 274 00:16:15,280 --> 00:16:20,640 Speaker 3: people like Look, Glenn Greenwald can sell subscriptions, Bill O'Reilly 275 00:16:20,720 --> 00:16:25,360 Speaker 3: Tucker Carlson, they can sell subscriptions. Anderson Cooper, Brian Stelter, 276 00:16:25,880 --> 00:16:29,240 Speaker 3: Oliver Darcy who's no longer there. They're not the ones. 277 00:16:31,560 --> 00:16:36,320 Speaker 1: What do you make of the coverage so far in 278 00:16:36,400 --> 00:16:39,520 Speaker 1: President Trump's first term? Do you see has the media 279 00:16:39,600 --> 00:16:43,720 Speaker 1: learned any lessons from you know, the years before, or 280 00:16:43,920 --> 00:16:45,760 Speaker 1: you know, kind of what do you make of how 281 00:16:45,800 --> 00:16:47,360 Speaker 1: he's being covered so far? 282 00:16:48,280 --> 00:16:52,200 Speaker 3: I don't think they've learned anything. In fact, they seem 283 00:16:52,360 --> 00:16:56,440 Speaker 3: desperate to establish a new Russia. Hoaps. Remember the first 284 00:16:56,440 --> 00:16:59,560 Speaker 3: time he got in everything was about Russia. They wanted 285 00:16:59,560 --> 00:17:05,320 Speaker 3: to dis credit his his administration by saying he colluded 286 00:17:05,359 --> 00:17:10,359 Speaker 3: with Vladimir Putin. They've tried to find a new storyline 287 00:17:10,400 --> 00:17:14,200 Speaker 3: this time around. Remember it started off with he's forming 288 00:17:14,240 --> 00:17:18,040 Speaker 3: an oligarchy with Elon Musk and the tech bros. That 289 00:17:18,119 --> 00:17:21,720 Speaker 3: didn't really stick. Now they're back to this idea that 290 00:17:22,080 --> 00:17:25,440 Speaker 3: he's a fascist in a Nazi So they're looking for 291 00:17:25,480 --> 00:17:28,919 Speaker 3: this consensus storyline. But again, the people aren't buying it 292 00:17:28,960 --> 00:17:34,359 Speaker 3: because the people don't trust the networks in outlets covering Trump, 293 00:17:34,400 --> 00:17:37,280 Speaker 3: and I think the coverage is bad too. You read 294 00:17:37,720 --> 00:17:42,239 Speaker 3: the tone the analysis, it's just so inaccurate. I mean 295 00:17:42,280 --> 00:17:48,879 Speaker 3: you saw these analysts and experts talk about how dangerous 296 00:17:48,920 --> 00:17:54,320 Speaker 3: it was to depoor dangerous illegal migrants that have committed 297 00:17:54,480 --> 00:17:57,600 Speaker 3: rape and the part of gangs. It's like, really that 298 00:17:57,600 --> 00:18:01,119 Speaker 3: that's the storyline you're going with. You now have people 299 00:18:01,480 --> 00:18:08,399 Speaker 3: complaining that Trump isn't supporting u Zelensky enough. Again, really, Zelensky, 300 00:18:08,520 --> 00:18:11,800 Speaker 3: someone who seems like a power hungry dictator who has 301 00:18:11,840 --> 00:18:14,600 Speaker 3: been using our money, shouldn't be we should not be 302 00:18:14,640 --> 00:18:18,919 Speaker 3: funding it. So I think they are desperate to find 303 00:18:18,960 --> 00:18:22,000 Speaker 3: a way to be little Trump and turn the country 304 00:18:22,040 --> 00:18:25,040 Speaker 3: against Trump. But it's not working. You see the approval 305 00:18:25,119 --> 00:18:28,520 Speaker 3: ratings some of the charts. Trump is more popular as 306 00:18:28,560 --> 00:18:31,760 Speaker 3: a politician today than he ever has been before. 307 00:18:33,080 --> 00:18:36,159 Speaker 2: It's true, which is good to see. 308 00:18:37,880 --> 00:18:40,360 Speaker 1: What do you think Elon's because you know, Elon has 309 00:18:40,400 --> 00:18:44,480 Speaker 1: become like the number one target now, I mean, probably 310 00:18:44,520 --> 00:18:45,480 Speaker 1: even more so than Trump. 311 00:18:45,480 --> 00:18:46,200 Speaker 2: When't you think? 312 00:18:47,200 --> 00:18:49,320 Speaker 3: I do? Yeah, And I think it's the idea is 313 00:18:49,359 --> 00:18:56,359 Speaker 3: to again take credit away from Trump by portraying it 314 00:18:56,400 --> 00:19:01,560 Speaker 3: as he is now being outsmarted by this oligarch. But 315 00:19:01,760 --> 00:19:04,880 Speaker 3: I mean, Elon Musk it looks like target number one 316 00:19:05,040 --> 00:19:07,480 Speaker 3: right now. I think he's doing a lot of really 317 00:19:07,520 --> 00:19:11,960 Speaker 3: good things with DOJE. I think the question that I've 318 00:19:12,000 --> 00:19:14,560 Speaker 3: always wanted to ask people in power, if you were 319 00:19:14,640 --> 00:19:18,000 Speaker 3: to give me a microphone and say, hey, ask every 320 00:19:18,520 --> 00:19:22,680 Speaker 3: influential person in DC one question. It would be why 321 00:19:22,720 --> 00:19:26,040 Speaker 3: does our country not act in its best interest? And 322 00:19:26,080 --> 00:19:29,320 Speaker 3: you're starting to see why because I mean, we're giving 323 00:19:29,359 --> 00:19:31,800 Speaker 3: money to so many countries that we shouldn't be. We're 324 00:19:31,880 --> 00:19:36,199 Speaker 3: wasting taxpayer money really at a disgusting rate. And who 325 00:19:36,280 --> 00:19:40,400 Speaker 3: knows the exact reason why maybe it's idiocy, maybe it's blackmail, 326 00:19:40,840 --> 00:19:43,800 Speaker 3: but this money should not be going where it's going, 327 00:19:44,000 --> 00:19:48,920 Speaker 3: and I love to see Elon draining things like us AID. 328 00:19:49,280 --> 00:19:51,320 Speaker 3: He says he's going to focus on the Department of 329 00:19:51,480 --> 00:19:54,399 Speaker 3: Education and Military next, which I think we're going to 330 00:19:54,440 --> 00:20:00,400 Speaker 3: discover is just as weaponized financially as USAID. Yeah. 331 00:20:00,400 --> 00:20:02,080 Speaker 1: I mean, I think what we're going to find out 332 00:20:02,160 --> 00:20:05,800 Speaker 1: at the end of these four years is that the 333 00:20:05,920 --> 00:20:08,840 Speaker 1: government's basically just like a giant money laundering scheme. 334 00:20:09,560 --> 00:20:13,640 Speaker 3: Absolutely, it's LLC more than anything I always talk which 335 00:20:13,680 --> 00:20:16,720 Speaker 3: kind of government is the US? It is a money 336 00:20:16,800 --> 00:20:20,679 Speaker 3: laundering scheme, as you said, And what's so frustrating is 337 00:20:21,480 --> 00:20:25,000 Speaker 3: it's a shock to us, but not really. We didn't 338 00:20:25,000 --> 00:20:27,400 Speaker 3: know exactly where the money was going, but we knew 339 00:20:27,440 --> 00:20:29,520 Speaker 3: it was being wasted. But there are probably a lot 340 00:20:29,520 --> 00:20:32,879 Speaker 3: of powerful people who knew exactly where this money was going, 341 00:20:33,240 --> 00:20:36,720 Speaker 3: but they just shut up and went along to get along. 342 00:20:36,840 --> 00:20:38,879 Speaker 3: Into me that is completely disqualifying. 343 00:20:40,359 --> 00:20:43,280 Speaker 1: You know, what do you think Elon's intentions? What are 344 00:20:43,359 --> 00:20:45,600 Speaker 1: his motivations do you think and wanting to be so 345 00:20:45,680 --> 00:20:46,960 Speaker 1: involved in government. 346 00:20:47,080 --> 00:20:49,199 Speaker 3: Yeah, it's an interesting question. I get the sense that 347 00:20:49,240 --> 00:20:54,120 Speaker 3: Elon like a lot of us just hates how our 348 00:20:54,320 --> 00:20:59,520 Speaker 3: government operates, how it dismisses people, and I think he 349 00:20:59,520 --> 00:21:02,680 Speaker 3: actually does wanted to make it a better place. There 350 00:21:02,720 --> 00:21:05,240 Speaker 3: was all the speculation why did he buy Twitter. I 351 00:21:05,320 --> 00:21:09,080 Speaker 3: think honestly he bought Twitter to do what he has done, 352 00:21:09,080 --> 00:21:13,840 Speaker 3: which is restore free speech on the Internet. And President 353 00:21:13,840 --> 00:21:16,760 Speaker 3: Trump told Brett Bahar on Sunday, I mean, I can't 354 00:21:16,760 --> 00:21:19,560 Speaker 3: even believe Elon's doing this. He's so busy, he doesn't 355 00:21:19,560 --> 00:21:20,960 Speaker 3: need to do it. He has all the money in 356 00:21:20,960 --> 00:21:25,120 Speaker 3: the world. He's not gaining anything by going through these 357 00:21:25,160 --> 00:21:29,600 Speaker 3: documents and running does. I think Elon wants America to 358 00:21:29,720 --> 00:21:33,080 Speaker 3: be not to use the cliche, but as great as 359 00:21:33,119 --> 00:21:36,320 Speaker 3: it can be. I have full trust in Elon honestly. 360 00:21:36,400 --> 00:21:40,680 Speaker 3: I mean I'm not someone who looks up to celebrities 361 00:21:40,760 --> 00:21:44,360 Speaker 3: or elites or billionaires, but I've been very impressed by him. 362 00:21:44,520 --> 00:21:47,080 Speaker 3: I think if anyone is to do this, he's the 363 00:21:47,200 --> 00:21:49,960 Speaker 3: right guy to do it. And I trust him exponentially 364 00:21:50,080 --> 00:21:54,400 Speaker 3: more than I would some DC swamp creature who's been 365 00:21:54,400 --> 00:21:57,000 Speaker 3: there his whole life and has probably compromise in every 366 00:21:57,000 --> 00:21:57,639 Speaker 3: wish direction. 367 00:21:58,880 --> 00:22:01,520 Speaker 2: You know, I've been thinking about this for a while lately. 368 00:22:01,600 --> 00:22:03,960 Speaker 1: It's it's kind of funny that after all the criticism 369 00:22:04,280 --> 00:22:07,840 Speaker 1: that President Trump has received and all the labels that 370 00:22:08,040 --> 00:22:11,800 Speaker 1: you know, have been assigned to him, you know, dictator, 371 00:22:12,280 --> 00:22:14,480 Speaker 1: you know, all these different things, right, threats to democracy, 372 00:22:14,560 --> 00:22:16,560 Speaker 1: that he could end up being the one to restore 373 00:22:16,680 --> 00:22:18,080 Speaker 1: or faith in government. 374 00:22:19,280 --> 00:22:20,760 Speaker 2: Via you know, doge and. 375 00:22:21,200 --> 00:22:23,800 Speaker 1: Sort of all this discovery about how our government operates. 376 00:22:23,840 --> 00:22:27,040 Speaker 1: But also just like the releasing of documents and transparency. 377 00:22:29,400 --> 00:22:31,320 Speaker 1: Do you do you think people will have a renewed 378 00:22:31,320 --> 00:22:35,960 Speaker 1: faith in government at the end of President Trump's turn term. 379 00:22:36,000 --> 00:22:40,359 Speaker 3: It's such a good question because there's two parts to this. 380 00:22:42,400 --> 00:22:46,000 Speaker 3: More than anything, he is going to instill in them 381 00:22:46,680 --> 00:22:53,080 Speaker 3: why they can never ever trust establishment government again. He 382 00:22:53,240 --> 00:22:57,159 Speaker 3: is going to reveal what they've been hiding, and I 383 00:22:57,200 --> 00:23:01,920 Speaker 3: think that is going to in return and restore faith 384 00:23:01,960 --> 00:23:04,320 Speaker 3: in him. But I think it's going to be devastating 385 00:23:04,440 --> 00:23:08,800 Speaker 3: for traditional politicians going forward. I think in twenty twenty 386 00:23:08,840 --> 00:23:10,639 Speaker 3: eight it's going to be very hard for some of 387 00:23:10,640 --> 00:23:14,600 Speaker 3: the Democrats who wanted all this stuff hidden and continue 388 00:23:14,640 --> 00:23:18,320 Speaker 3: to be buried, to ask Americans to put their faith 389 00:23:18,400 --> 00:23:21,600 Speaker 3: in them going forward. But you're absolutely right, the way 390 00:23:21,680 --> 00:23:27,040 Speaker 3: Trump is portrayed is so backwards to what he actually is. 391 00:23:27,520 --> 00:23:30,439 Speaker 3: Threat democracy in a lot of ways. He wants to 392 00:23:30,800 --> 00:23:34,240 Speaker 3: show the people who make up democracy, which is us, 393 00:23:34,320 --> 00:23:37,879 Speaker 3: the voters, exactly how this country runs. And it's a 394 00:23:38,000 --> 00:23:41,639 Speaker 3: great observation by you. I said it on an inauguration day. 395 00:23:41,680 --> 00:23:45,280 Speaker 3: I think Donald Trump will leave the White House in 396 00:23:45,440 --> 00:23:48,880 Speaker 3: four years and a lot of people who are skeptical 397 00:23:48,960 --> 00:23:51,760 Speaker 3: of him are going to come around and say, you 398 00:23:51,800 --> 00:23:54,800 Speaker 3: know what, he did a really good job. He was 399 00:23:54,920 --> 00:23:57,800 Speaker 3: exactly what we need. And I think that could have 400 00:23:57,880 --> 00:24:01,240 Speaker 3: a trickle down effect for decades to about who we 401 00:24:01,280 --> 00:24:03,439 Speaker 3: should and should not trust with power. 402 00:24:04,240 --> 00:24:06,480 Speaker 1: Well, I think too, like he's probably going to go 403 00:24:06,560 --> 00:24:10,880 Speaker 1: down as one of the most transformational characters and and 404 00:24:11,040 --> 00:24:13,919 Speaker 1: you know individuals and American history in the sense of 405 00:24:13,960 --> 00:24:19,040 Speaker 1: like he's completely transformed the Republican Party, He's completely transformed government. 406 00:24:19,760 --> 00:24:23,720 Speaker 1: He has completely transformed the media, right, you know, look 407 00:24:23,760 --> 00:24:26,440 Speaker 1: at how much the media has changed since he walked 408 00:24:26,440 --> 00:24:27,760 Speaker 1: down the Golden Escalator. 409 00:24:30,240 --> 00:24:30,960 Speaker 2: So, I mean, do you. 410 00:24:31,200 --> 00:24:33,359 Speaker 1: Think he'll go down as one of the most transformational 411 00:24:33,480 --> 00:24:35,800 Speaker 1: individuals we've we've had in American history? 412 00:24:36,280 --> 00:24:39,719 Speaker 3: Oh? Absolutely, I would say world history. I think he 413 00:24:39,760 --> 00:24:45,320 Speaker 3: has changed the course of global affairs as well. I 414 00:24:45,320 --> 00:24:48,639 Speaker 3: mean I was thinking about this. He and this is 415 00:24:48,680 --> 00:24:52,120 Speaker 3: not me cheerleading for Donald Trump. I think everybody knows 416 00:24:52,160 --> 00:24:55,080 Speaker 3: I'm not someone who wants to bow down and worship anyone, 417 00:24:55,520 --> 00:25:00,679 Speaker 3: but he's certainly the most fascinating person of my lifetime 418 00:25:00,760 --> 00:25:04,760 Speaker 3: and probably anyone who's alive right now. Just his impact 419 00:25:04,800 --> 00:25:08,160 Speaker 3: and you went down the list. I mean, look at culturally, 420 00:25:08,320 --> 00:25:14,920 Speaker 3: he has completely changed culture the way we interact. He's 421 00:25:14,960 --> 00:25:19,199 Speaker 3: shown people how to fight, not to be submissive to 422 00:25:19,320 --> 00:25:24,919 Speaker 3: these thought police and these dei surge police officers that 423 00:25:25,080 --> 00:25:30,000 Speaker 3: just always want to call everything racist and sexist and transphobic. 424 00:25:30,520 --> 00:25:34,240 Speaker 3: I think Donald Trump's legacy will be hard to grasp 425 00:25:34,320 --> 00:25:38,080 Speaker 3: and right away. I think when you look back, you're 426 00:25:38,119 --> 00:25:41,639 Speaker 3: going to say there was an America pre Trump in 427 00:25:41,800 --> 00:25:44,640 Speaker 3: post Trump, and those two things are going to look 428 00:25:44,800 --> 00:25:45,480 Speaker 3: very differently. 429 00:25:47,640 --> 00:25:50,680 Speaker 1: It'll be it'll be interesting at the end of four 430 00:25:50,760 --> 00:25:54,560 Speaker 1: years from now, you know just how much of the 431 00:25:54,600 --> 00:25:56,960 Speaker 1: world has changed. I mean, even just in the conversation 432 00:25:57,000 --> 00:25:59,480 Speaker 1: we're talking about, just like even how the media is changing. 433 00:25:59,640 --> 00:26:03,760 Speaker 1: And you know MSNBC look like, what will CNN look like? 434 00:26:04,000 --> 00:26:07,000 Speaker 1: You know, what will the country look like? Well, more 435 00:26:07,000 --> 00:26:09,920 Speaker 1: with Bobby coming up in just a moment, but first, 436 00:26:10,400 --> 00:26:12,840 Speaker 1: after more than a year of war, terror and pain 437 00:26:12,920 --> 00:26:16,800 Speaker 1: in Israel, there's still a great demand for basic humanitarian aid. 438 00:26:17,400 --> 00:26:20,560 Speaker 1: The International Fellowship of Christians and Jews has supported and 439 00:26:20,600 --> 00:26:23,960 Speaker 1: continues to support those in the Holy Land still facing 440 00:26:24,000 --> 00:26:26,560 Speaker 1: the lingering horrors of war, and those who are in 441 00:26:26,640 --> 00:26:30,560 Speaker 1: desperate need right now. Your ongoing monthly gift of forty 442 00:26:30,560 --> 00:26:33,760 Speaker 1: five dollars will provide critically needed aid to communities in 443 00:26:33,800 --> 00:26:36,600 Speaker 1: the North and in the South that have been devastated 444 00:26:36,640 --> 00:26:40,040 Speaker 1: by the ongoing war. Your generous donation each month will 445 00:26:40,040 --> 00:26:44,000 Speaker 1: help deliver aid to those in need, including evacuees and 446 00:26:44,040 --> 00:26:48,160 Speaker 1: refugees from war torn areas, the first responders and volunteers, 447 00:26:48,520 --> 00:26:52,800 Speaker 1: wounded soldiers and elderly, Holocaust survivors, and families who have 448 00:26:52,880 --> 00:26:56,160 Speaker 1: lost everything in so much more. You can provide hope 449 00:26:56,240 --> 00:26:59,200 Speaker 1: during a time of this great uncertainty. Give a gift 450 00:26:59,240 --> 00:27:02,080 Speaker 1: to Blessed Israel and her people by visiting support i 451 00:27:02,240 --> 00:27:06,080 Speaker 1: f CJ dot org. That's one word support I f 452 00:27:06,160 --> 00:27:09,720 Speaker 1: CJ dot org. Or you can also call eight eight 453 00:27:09,720 --> 00:27:12,760 Speaker 1: eight for a eight I f c J. That's eight 454 00:27:12,840 --> 00:27:19,640 Speaker 1: eight eight four eight eight four, three two five. Did 455 00:27:19,680 --> 00:27:22,320 Speaker 1: you find it interesting that when asked by Brett Behar 456 00:27:22,680 --> 00:27:26,600 Speaker 1: about if JD. Vance was going to be his successor 457 00:27:28,240 --> 00:27:30,040 Speaker 1: you know, he kind of didn't really want to answer 458 00:27:30,040 --> 00:27:30,520 Speaker 1: that question. 459 00:27:31,119 --> 00:27:35,000 Speaker 3: Yeah, I did. I was very surprised. I thought he 460 00:27:35,000 --> 00:27:38,200 Speaker 3: would say something along the line. JD's doing a great job, 461 00:27:38,240 --> 00:27:39,879 Speaker 3: and by the way, I think he is. One of 462 00:27:39,880 --> 00:27:44,080 Speaker 3: my favorite decisions Trump has made so far, is selecting JD. Vance. 463 00:27:44,119 --> 00:27:46,800 Speaker 3: But yeah, I was surprised that he I think he 464 00:27:46,880 --> 00:27:49,800 Speaker 3: actually used the word no, it's too early. There's a 465 00:27:49,800 --> 00:27:54,000 Speaker 3: lot of capable people in the field. I expected him 466 00:27:54,000 --> 00:27:59,000 Speaker 3: to be much more, say aggressive in trying to uh 467 00:27:59,119 --> 00:28:02,119 Speaker 3: answer that question in favor of JD. Advance. But I 468 00:28:02,160 --> 00:28:04,040 Speaker 3: don't want to read too much into it, because we 469 00:28:04,119 --> 00:28:08,960 Speaker 3: know sometimes presidents are reluctant to support a candidate told 470 00:28:09,000 --> 00:28:11,960 Speaker 3: the very very end for a multitude of reasons. But 471 00:28:12,040 --> 00:28:13,920 Speaker 3: I mean looking ahead to twenty twenty eight, and I 472 00:28:13,960 --> 00:28:16,040 Speaker 3: don't want to get too far ahead of ourselves, because 473 00:28:16,160 --> 00:28:18,199 Speaker 3: I think things are pretty positive right now, or at 474 00:28:18,280 --> 00:28:22,160 Speaker 3: least heading in the right direction. I think JD. Advance should, 475 00:28:22,680 --> 00:28:26,840 Speaker 3: assuming things continue to go well, walk into the twenty 476 00:28:26,960 --> 00:28:30,840 Speaker 3: twenty eight primary as the favorite. Now you talk to 477 00:28:30,880 --> 00:28:34,040 Speaker 3: people who've covered administrations and they say, there is not 478 00:28:34,160 --> 00:28:37,439 Speaker 3: a single president and vice president who doesn't end up 479 00:28:37,480 --> 00:28:42,000 Speaker 3: hating each other after two years of working together. Maybe 480 00:28:42,000 --> 00:28:44,760 Speaker 3: that's true, maybe it's not. But I think JD. Advance 481 00:28:44,840 --> 00:28:47,400 Speaker 3: is in a pretty good position. I think he so smart, 482 00:28:47,520 --> 00:28:51,800 Speaker 3: so eloquent, and really is the natural successor to inherit 483 00:28:51,880 --> 00:28:53,640 Speaker 3: this America First movement. 484 00:28:54,240 --> 00:28:55,800 Speaker 2: Yeah, I mean, I think as long as he can. 485 00:28:56,080 --> 00:29:00,000 Speaker 1: Obviously, you stay in the president's good grace us. 486 00:29:00,600 --> 00:29:02,560 Speaker 2: Over the day, because you know, it's a tough position. 487 00:29:02,320 --> 00:29:04,239 Speaker 1: To you to try to find your way and to 488 00:29:04,240 --> 00:29:07,360 Speaker 1: try to layer your marker down. Obviously it did not 489 00:29:07,440 --> 00:29:11,520 Speaker 1: work for Kamala Harris, but you know Biden was able 490 00:29:11,560 --> 00:29:16,040 Speaker 1: to use it to his advantage previously. So you know, 491 00:29:16,160 --> 00:29:18,880 Speaker 1: it'll be interesting to see kind of who takes on 492 00:29:18,920 --> 00:29:23,000 Speaker 1: that mantle, and also if President Trump wants to endorse her, 493 00:29:23,040 --> 00:29:24,360 Speaker 1: if he just kind of wants to stay out of 494 00:29:24,360 --> 00:29:27,000 Speaker 1: a crowded primary as well, because obviously his endorsement would 495 00:29:27,040 --> 00:29:29,560 Speaker 1: probably probably seal the deal. 496 00:29:30,240 --> 00:29:32,280 Speaker 3: Yeah, it is very difficult. Like I think one of 497 00:29:32,320 --> 00:29:35,520 Speaker 3: the examples that you would look back to was Al Gore. 498 00:29:35,600 --> 00:29:38,400 Speaker 3: A lot of people thought he would be the natural successor, 499 00:29:38,440 --> 00:29:39,960 Speaker 3: and he did get the nominee, but you know, he 500 00:29:39,960 --> 00:29:43,360 Speaker 3: didn't have nearly the upper hand in the general election 501 00:29:43,480 --> 00:29:46,959 Speaker 3: as people thought. So we'll see. You know, Advance can 502 00:29:47,000 --> 00:29:49,520 Speaker 3: do that, but right he I think staying in the 503 00:29:49,560 --> 00:29:52,920 Speaker 3: good grace of Trump is crucial. Mike Pence didn't do that. 504 00:29:53,160 --> 00:29:56,280 Speaker 3: I think JD. Vance is far more impressive than Mike Pence, 505 00:29:56,320 --> 00:30:01,320 Speaker 3: particularly when it comes to someone who believes what Donald 506 00:30:01,360 --> 00:30:03,800 Speaker 3: Trump believes. I don't think Mike Pence was ever that 507 00:30:03,920 --> 00:30:04,760 Speaker 3: type of Republican. 508 00:30:05,800 --> 00:30:08,560 Speaker 1: You've read a lot about sort of the media's fixation 509 00:30:08,920 --> 00:30:12,959 Speaker 1: on race and how they drive divisions through it. Do 510 00:30:13,000 --> 00:30:15,440 Speaker 1: you think that, you know, since we've seen with President 511 00:30:15,520 --> 00:30:18,880 Speaker 1: Trump and his administration, you know, order just with the 512 00:30:18,880 --> 00:30:21,560 Speaker 1: executive orders and sort of the desire to do away 513 00:30:21,600 --> 00:30:25,840 Speaker 1: with DEI will that have a downstream effect in terms 514 00:30:25,840 --> 00:30:28,640 Speaker 1: of the rest of the country and the media's coverage 515 00:30:28,720 --> 00:30:30,920 Speaker 1: as well on some of these issues that you've written 516 00:30:30,960 --> 00:30:31,560 Speaker 1: so much about. 517 00:30:33,280 --> 00:30:36,440 Speaker 3: I'm so hopeful because I just think it's so nightmarish 518 00:30:36,960 --> 00:30:41,480 Speaker 3: how people in power, and I keep using that word 519 00:30:41,480 --> 00:30:43,640 Speaker 3: because everything does come back to the people in charge 520 00:30:44,080 --> 00:30:48,920 Speaker 3: have used race to divide us. To to scare us 521 00:30:49,120 --> 00:30:53,080 Speaker 3: and really to conquer more power. For so long, the 522 00:30:53,280 --> 00:30:58,480 Speaker 3: race card has been this conversation stopper. When somebody threatens 523 00:30:58,520 --> 00:31:02,720 Speaker 3: to call you racist, everybody just shuts up and gets 524 00:31:02,760 --> 00:31:07,640 Speaker 3: in line. And we are seeing some downstream effect. Google 525 00:31:09,040 --> 00:31:12,920 Speaker 3: is doing away with a lot of their DEI initiatives. 526 00:31:13,080 --> 00:31:17,480 Speaker 3: I believe they've taken down some social justice initiatives on 527 00:31:17,520 --> 00:31:21,160 Speaker 3: their website. I mean the NFL which did this completely independent. 528 00:31:21,440 --> 00:31:24,880 Speaker 3: They took away the phrase and racism in the end zone. 529 00:31:25,360 --> 00:31:28,240 Speaker 3: But at the same time, you're seeing a lot of 530 00:31:28,360 --> 00:31:32,800 Speaker 3: growing resistance to making everything about race. I think for 531 00:31:32,840 --> 00:31:35,440 Speaker 3: a while here the media and Democrats are going to 532 00:31:35,480 --> 00:31:38,840 Speaker 3: try to use race as proof, Hey, you shouldn't have 533 00:31:38,920 --> 00:31:41,600 Speaker 3: voted for Donald Trump. Look at he's exactly what we 534 00:31:41,760 --> 00:31:44,920 Speaker 3: warn he's against black people, which is a total lie 535 00:31:44,920 --> 00:31:47,400 Speaker 3: when you consider what he actually has done for black people. 536 00:31:48,000 --> 00:31:53,480 Speaker 3: But it comes down to again, the average American doesn't 537 00:31:53,520 --> 00:31:56,240 Speaker 3: buy into any of this stuff. What was so telling. 538 00:31:57,440 --> 00:32:02,920 Speaker 3: The Democratic polling firm Blueprint posted results a week after 539 00:32:02,960 --> 00:32:08,480 Speaker 3: the election why swing state voters rejected Kamala Harris. Number 540 00:32:08,520 --> 00:32:11,960 Speaker 3: one was the economy, obviously, Number two, the border okay, 541 00:32:12,520 --> 00:32:17,840 Speaker 3: Number three was that she focused too much on culture 542 00:32:17,880 --> 00:32:24,280 Speaker 3: war issues such as race, DEI, transgenderism. And while that 543 00:32:24,440 --> 00:32:27,760 Speaker 3: is on the political scale, I think the media and 544 00:32:27,880 --> 00:32:31,560 Speaker 3: these independent businesses are going to come to realize if 545 00:32:31,640 --> 00:32:37,040 Speaker 3: we keep pushing this race narrative, our customers are going 546 00:32:37,080 --> 00:32:39,680 Speaker 3: to rebel. You're going to see something very similar to 547 00:32:40,040 --> 00:32:42,560 Speaker 3: bud Light where people are not going to want to 548 00:32:42,600 --> 00:32:45,520 Speaker 3: support you. So I think eventually we will get past 549 00:32:45,640 --> 00:32:48,520 Speaker 3: this phrase and this stage. But I think for the 550 00:32:48,560 --> 00:32:52,959 Speaker 3: next six months, you're going to see the legacy media 551 00:32:53,000 --> 00:32:56,040 Speaker 3: and the main opposition of Donald Trump tried to use 552 00:32:56,160 --> 00:32:59,200 Speaker 3: race to gain back some of their momentum. 553 00:32:59,360 --> 00:33:03,880 Speaker 1: Did you see with the commercials for the Super Bowl? 554 00:33:04,880 --> 00:33:05,720 Speaker 2: What did that tell you? 555 00:33:05,800 --> 00:33:09,120 Speaker 1: What do those commercials tell you about where our culture stands? 556 00:33:09,160 --> 00:33:13,440 Speaker 3: Now? Yeah, it was interesting. You didn't see as much 557 00:33:13,640 --> 00:33:18,720 Speaker 3: social messaging. It was much more focused on the brand product, 558 00:33:19,400 --> 00:33:21,240 Speaker 3: which is the positive, right, And no one wants to 559 00:33:21,280 --> 00:33:26,000 Speaker 3: watch the Super Bowl and be preached to by advertising firms. 560 00:33:26,400 --> 00:33:29,960 Speaker 3: So I'm all in on this culture shift. I think 561 00:33:30,000 --> 00:33:34,600 Speaker 3: it's true, and I'm optimistic about it in general. Obviously 562 00:33:34,600 --> 00:33:38,320 Speaker 3: I'm a bit pestimistic just what could happen, But yeah, 563 00:33:38,320 --> 00:33:41,840 Speaker 3: I think the commercials did show that some of these 564 00:33:41,920 --> 00:33:46,680 Speaker 3: businesses have realized people don't come to us for our politics. 565 00:33:46,920 --> 00:33:50,240 Speaker 3: They don't come to us for social issues. They come 566 00:33:50,280 --> 00:33:52,440 Speaker 3: to us because they want to buy what we're selling. 567 00:33:52,720 --> 00:33:55,520 Speaker 3: And by and large, I would say ninety percent of 568 00:33:55,520 --> 00:33:59,160 Speaker 3: the commercials focused on just that, whether it was Pepsi 569 00:33:59,560 --> 00:34:02,800 Speaker 3: or a car company or a fast food joint. 570 00:34:04,440 --> 00:34:07,000 Speaker 1: If I missed anything in this conversation that we should 571 00:34:07,040 --> 00:34:07,920 Speaker 1: talk about. 572 00:34:10,280 --> 00:34:15,480 Speaker 3: Let's see. Well, all right, So Lisa Booth, as was 573 00:34:15,520 --> 00:34:18,440 Speaker 3: proven on Fox about a year ago, is secretly a 574 00:34:18,480 --> 00:34:24,360 Speaker 3: sports expert. She he knew more about Dion Sanders than anyone. 575 00:34:25,840 --> 00:34:30,520 Speaker 3: He called the Eagles game over before the masses. So, uh, 576 00:34:30,719 --> 00:34:33,400 Speaker 3: I have asked you, Lisa as sort of a secret 577 00:34:33,440 --> 00:34:38,880 Speaker 3: sports fan. Uh. Is Patrick Mahomes no longer in the 578 00:34:38,880 --> 00:34:42,719 Speaker 3: Goat conversation? You can't ask your dad because you know 579 00:34:42,800 --> 00:34:45,000 Speaker 3: he's probably busy right now. But I'm gonna put you 580 00:34:45,040 --> 00:34:45,600 Speaker 3: on the spot. 581 00:34:45,920 --> 00:34:48,759 Speaker 1: Yeah, in fairness, I did, and I stated this when 582 00:34:48,800 --> 00:34:50,840 Speaker 1: I was on the Big Show. I did phone a 583 00:34:50,920 --> 00:34:53,200 Speaker 1: friend and that phone that friend was my dad for 584 00:34:53,320 --> 00:34:58,040 Speaker 1: the Banners conversation. You know. 585 00:35:00,000 --> 00:35:01,520 Speaker 2: How old is he? Again? I forget? 586 00:35:02,920 --> 00:35:04,680 Speaker 1: Oh, I did remember I sent you that meme. There's 587 00:35:04,719 --> 00:35:07,319 Speaker 1: this really funny meme and it was like it's like, 588 00:35:07,680 --> 00:35:10,000 Speaker 1: you know, me at thirty five, I still have the 589 00:35:10,040 --> 00:35:11,319 Speaker 1: rest of the life ahead of me. 590 00:35:11,480 --> 00:35:12,839 Speaker 2: And then it's like, you know. 591 00:35:13,480 --> 00:35:18,440 Speaker 1: NFL football players thirty two, Uh can't like a miracle. 592 00:35:18,480 --> 00:35:23,759 Speaker 2: He's still playing, Like so you know, I don't know. 593 00:35:23,800 --> 00:35:25,480 Speaker 2: I guess he's getting out there a little bit. 594 00:35:27,280 --> 00:35:29,560 Speaker 1: So yeah, maybe, but he does seem like a good guy, 595 00:35:30,200 --> 00:35:33,000 Speaker 1: you know, so I want, right, doesn't he seem like 596 00:35:33,040 --> 00:35:33,480 Speaker 1: a good guy? 597 00:35:33,520 --> 00:35:35,480 Speaker 2: He doesn't like, he's not like a Travis Kelcey. 598 00:35:35,800 --> 00:35:38,240 Speaker 1: Also, I tweeted out like a rage tweet about Travis 599 00:35:38,360 --> 00:35:40,880 Speaker 1: Kelsey and it's gone like almost ninety thousand, like so 600 00:35:40,920 --> 00:35:45,640 Speaker 1: clearly I'm not alone in my disdain for him. But 601 00:35:45,680 --> 00:35:48,640 Speaker 1: Patrick Mahomes seems like a decent guy. You know, his 602 00:35:48,680 --> 00:35:50,880 Speaker 1: wife's a little over the top, but you know, she 603 00:35:50,960 --> 00:35:53,000 Speaker 1: seems like her heart's in the good, the right place, 604 00:35:53,080 --> 00:35:55,320 Speaker 1: and you know, she's been pretty bold with her beliefs 605 00:35:55,600 --> 00:35:59,480 Speaker 1: in a way other people are scared too, so like, yeah, 606 00:35:59,480 --> 00:36:00,960 Speaker 1: and they seem to love each other like their high 607 00:36:01,000 --> 00:36:03,239 Speaker 1: school sweethearts. That's really kind of you know, I like that. 608 00:36:03,239 --> 00:36:06,640 Speaker 1: That's very sweet. Yeah, they seem to love each other. 609 00:36:07,560 --> 00:36:09,080 Speaker 1: You know, he believes in God, so yeah, I mean, 610 00:36:09,080 --> 00:36:10,640 Speaker 1: I don't know, I wish the best room. He seems 611 00:36:10,640 --> 00:36:13,920 Speaker 1: like a good dude, unlike Travis Kelcey, Like. 612 00:36:14,000 --> 00:36:18,000 Speaker 3: And I know you put on your sports cap now 613 00:36:18,000 --> 00:36:21,320 Speaker 3: I'm gonna ask you to put on your music caf. 614 00:36:21,520 --> 00:36:23,960 Speaker 3: I've been getting crushed all week because that was pretty 615 00:36:23,960 --> 00:36:27,880 Speaker 3: critical of Kenjul Kamar. It's the criticism aimed towards me. 616 00:36:28,120 --> 00:36:30,680 Speaker 3: Fair follow I know you do like hip hop to 617 00:36:30,760 --> 00:36:32,839 Speaker 3: some degree. What were your thoughts in the halftime show? 618 00:36:33,239 --> 00:36:37,319 Speaker 1: I thought it sucked because halftime shows are supposed to 619 00:36:37,360 --> 00:36:40,520 Speaker 1: be fun, Like you're supposed to dance, you. 620 00:36:40,440 --> 00:36:42,000 Speaker 2: Want to have a good time with it. 621 00:36:42,000 --> 00:36:44,880 Speaker 1: It's supposed like and even if you saw the audience's reaction, 622 00:36:45,080 --> 00:36:50,280 Speaker 1: like I saw some clips online and like people weren't dancing, 623 00:36:50,400 --> 00:36:52,400 Speaker 1: they weren't having fun, Like everyone was just kind of 624 00:36:52,400 --> 00:36:54,840 Speaker 1: like what's happening, right? And so like, and I like 625 00:36:54,880 --> 00:36:57,520 Speaker 1: a couple of his songs, but they're just not fun. 626 00:36:58,360 --> 00:37:01,239 Speaker 1: And so I think that And I like rap, So 627 00:37:01,239 --> 00:37:04,160 Speaker 1: it's not because oh I don't like rap or you know, 628 00:37:04,239 --> 00:37:06,840 Speaker 1: because like I'm you know, don't understand it or whatever. 629 00:37:06,960 --> 00:37:09,320 Speaker 1: I just it was boring and you could barely understood. 630 00:37:09,920 --> 00:37:12,040 Speaker 1: You could barely understand a word that he was saying. 631 00:37:12,719 --> 00:37:15,319 Speaker 1: And like, I think someone like a little Wayne would 632 00:37:15,320 --> 00:37:17,280 Speaker 1: have been a lot better if you wanted a rapper, 633 00:37:17,600 --> 00:37:19,319 Speaker 1: you know, that's kind of what you were looking for, 634 00:37:19,360 --> 00:37:22,480 Speaker 1: if that's the genre that you wanted to entertain, because 635 00:37:22,480 --> 00:37:24,960 Speaker 1: his music's fun and more people would know the words 636 00:37:25,000 --> 00:37:28,719 Speaker 1: to it, and you know, and he's a fun guy too, 637 00:37:28,760 --> 00:37:30,600 Speaker 1: and so I think that the audience just would have 638 00:37:30,600 --> 00:37:32,040 Speaker 1: had a better reaction. I think they would have been 639 00:37:32,120 --> 00:37:36,560 Speaker 1: dancing and it would have just lightened the mood. And so, like, 640 00:37:36,640 --> 00:37:39,680 Speaker 1: I was not a fan, and I think that I 641 00:37:39,719 --> 00:37:43,000 Speaker 1: don't understand why anyone would defend the halftime show and 642 00:37:43,040 --> 00:37:46,120 Speaker 1: tell us that like it was garbage. 643 00:37:46,680 --> 00:37:49,320 Speaker 3: Yeah, I'm still with you in I think a larger 644 00:37:49,360 --> 00:37:53,160 Speaker 3: point to this. Kenda Lamar was the first Super Bowl 645 00:37:53,239 --> 00:37:59,400 Speaker 3: performer who was post monoculture. Everything in American culture has 646 00:37:59,400 --> 00:38:03,000 Speaker 3: become pretty niche now, So I would have reckoned that 647 00:38:03,400 --> 00:38:07,280 Speaker 3: a lot of viewers didn't know any of his song. 648 00:38:07,840 --> 00:38:10,440 Speaker 3: The only one I knew was the one that was 649 00:38:10,520 --> 00:38:13,280 Speaker 3: directed at Drake. So I'm thinking, well, if I didn't 650 00:38:13,320 --> 00:38:16,880 Speaker 3: know the songs. People that are older than me probably 651 00:38:16,920 --> 00:38:19,520 Speaker 3: didn't know any of them. And you're right, it was 652 00:38:19,520 --> 00:38:21,640 Speaker 3: hard to understand what he was saying. I don't know 653 00:38:21,680 --> 00:38:24,680 Speaker 3: if the music in the background was too loud or 654 00:38:25,120 --> 00:38:28,880 Speaker 3: what the problem was, but I couldn't understand his lyrics 655 00:38:29,200 --> 00:38:31,040 Speaker 3: and that made it very difficult. 656 00:38:31,440 --> 00:38:35,360 Speaker 1: And even the not like Us song that is so 657 00:38:35,520 --> 00:38:41,560 Speaker 1: popular about Drake that like, isn't even a fun song, right, So, 658 00:38:41,560 --> 00:38:43,920 Speaker 1: like that doesn't make you want to get up and dance, So. 659 00:38:44,000 --> 00:38:45,560 Speaker 2: Like, I just like, I don't. 660 00:38:45,719 --> 00:38:48,200 Speaker 1: I feel like that was a bad decision to pick 661 00:38:48,280 --> 00:38:51,480 Speaker 1: him personally, and it was just sort of a buzzkill 662 00:38:51,960 --> 00:38:54,480 Speaker 1: for a game that was already kind of just lagging 663 00:38:54,600 --> 00:38:59,440 Speaker 1: and lacking in terms of entertainment. So zero stars is 664 00:38:59,440 --> 00:39:03,359 Speaker 1: my rate and sums down is what I would say, 665 00:39:03,960 --> 00:39:05,319 Speaker 1: is my my Kendrick. 666 00:39:05,040 --> 00:39:11,440 Speaker 2: Lamar review grader, Yeah, yeah, you know, he sucked. Also, 667 00:39:11,480 --> 00:39:13,000 Speaker 2: I didn't realize. 668 00:39:13,760 --> 00:39:16,719 Speaker 1: You know, I'm surprised that Drake hasn't sued him, So 669 00:39:16,760 --> 00:39:19,120 Speaker 1: perhaps maybe the things he has there's more truth than 670 00:39:19,160 --> 00:39:20,880 Speaker 1: some of the things he is saying. I don't know, 671 00:39:20,960 --> 00:39:23,919 Speaker 1: you would think that if someone accuses you of such 672 00:39:24,040 --> 00:39:27,719 Speaker 1: terrible things and song that would be defamatory. 673 00:39:28,239 --> 00:39:32,000 Speaker 3: But yeah, maybe there's I digress. There's different rules for 674 00:39:32,120 --> 00:39:35,120 Speaker 3: like the hip hop beef right. Remember Biggie Tupac, Like 675 00:39:35,280 --> 00:39:37,399 Speaker 3: that got pretty messy too, And I'm not talking about 676 00:39:37,400 --> 00:39:40,080 Speaker 3: the shootings, right, I know that was like really. 677 00:39:42,800 --> 00:39:44,280 Speaker 2: Lyrics but as messy as it gets. 678 00:39:45,480 --> 00:39:48,600 Speaker 3: But like Free the Two Murders, that thing got pretty 679 00:39:48,640 --> 00:39:50,120 Speaker 3: messy with the lyrics. 680 00:39:51,040 --> 00:39:53,560 Speaker 1: I guess, like you look like a coward. Then if 681 00:39:53,600 --> 00:39:58,360 Speaker 1: you're like right, so, like you'd probably like lose like credit, 682 00:39:58,440 --> 00:40:01,680 Speaker 1: but you'd probably look like a whoos if you threaten 683 00:40:01,719 --> 00:40:03,839 Speaker 1: to sue someone because they said mean things to you, right, 684 00:40:03,920 --> 00:40:06,520 Speaker 1: So like, I guess you you can't like you, you know, 685 00:40:06,600 --> 00:40:10,880 Speaker 1: losing credibility would be worse than being called these terrible things. 686 00:40:10,920 --> 00:40:14,040 Speaker 3: Maybe, I don't know, Especially when you're in the midst 687 00:40:14,239 --> 00:40:17,680 Speaker 3: of the beef right. It's like, uh, when you're in 688 00:40:17,760 --> 00:40:20,720 Speaker 3: high school and two guys are competing for the same 689 00:40:20,800 --> 00:40:22,839 Speaker 3: girl and then you know, the one of them says 690 00:40:22,880 --> 00:40:26,120 Speaker 3: something pretty grotesque about the other. You don't want to 691 00:40:26,120 --> 00:40:28,600 Speaker 3: be the guy who runs the principal and says, hey, 692 00:40:28,600 --> 00:40:30,480 Speaker 3: you know, Derek, call me this. You want to stay 693 00:40:30,560 --> 00:40:32,600 Speaker 3: cool and unfazed. So I get it. 694 00:40:33,440 --> 00:40:36,400 Speaker 2: But Kendrick Lamar is a very small man in stature. 695 00:40:37,080 --> 00:40:39,640 Speaker 1: He's also just like very thin, and so I was 696 00:40:39,680 --> 00:40:43,000 Speaker 1: surprised after saying that that he starts so much beef 697 00:40:43,040 --> 00:40:46,239 Speaker 1: because you would think that, you know, if he were 698 00:40:46,320 --> 00:40:47,919 Speaker 1: to get in a fight, that would not end well 699 00:40:47,960 --> 00:40:52,520 Speaker 1: for him. But yeah, I don't know. 700 00:40:52,880 --> 00:40:55,520 Speaker 2: That was another thought process of mine, So it. 701 00:40:55,440 --> 00:40:57,279 Speaker 1: Would have been you would have I did tweet a 702 00:40:57,280 --> 00:40:59,360 Speaker 1: lot because I watched the game by myself, and so 703 00:40:59,640 --> 00:41:03,680 Speaker 1: I was just like, you know, tweeting my random stream 704 00:41:03,719 --> 00:41:05,879 Speaker 1: of thoughts throughout the game. 705 00:41:06,080 --> 00:41:09,879 Speaker 3: So just to recat, I just want to make sure 706 00:41:09,880 --> 00:41:13,480 Speaker 3: we got it all. You struggled the pick between the 707 00:41:13,560 --> 00:41:17,480 Speaker 3: Chiefs or Eagles because you're a redskin fan, but well. 708 00:41:17,320 --> 00:41:18,040 Speaker 2: I used to be. 709 00:41:18,080 --> 00:41:19,960 Speaker 1: I don't know if I can call myself a Redskins 710 00:41:20,000 --> 00:41:23,400 Speaker 1: fan still because they ditched the name and then when 711 00:41:23,440 --> 00:41:26,960 Speaker 1: they did so, they kind of lost my But I 712 00:41:27,000 --> 00:41:29,480 Speaker 1: briefly I thought about jumping on the bandwagon again when 713 00:41:29,480 --> 00:41:32,879 Speaker 1: they were you know, when they're in the championship. 714 00:41:33,040 --> 00:41:34,880 Speaker 2: But I don't know. 715 00:41:34,920 --> 00:41:37,040 Speaker 1: But I did grow up a Redskins fan. My dad's 716 00:41:37,080 --> 00:41:41,320 Speaker 1: like die hard, and so yeah, so you do. 717 00:41:41,120 --> 00:41:44,960 Speaker 3: You respect both Jalen Hurst and Patrick Mahomes No argument there, 718 00:41:45,120 --> 00:41:48,120 Speaker 3: And you think short guys should maybe stay away from 719 00:41:48,120 --> 00:41:48,520 Speaker 3: the beef. 720 00:41:49,320 --> 00:41:50,560 Speaker 2: Well, you know, I just think that. 721 00:41:52,120 --> 00:41:53,799 Speaker 1: You know, if you're gonna, you know, talk a lot 722 00:41:53,800 --> 00:41:56,279 Speaker 1: of crap like that, you might get punched, right, And 723 00:41:56,360 --> 00:42:02,360 Speaker 1: so that's you know, sometimes what can happen in those scenarios. 724 00:42:02,520 --> 00:42:04,200 Speaker 1: So you would just think that he would have a 725 00:42:04,200 --> 00:42:07,640 Speaker 1: little bit more to kind of to back up the mouth, but. 726 00:42:09,200 --> 00:42:11,799 Speaker 2: He doesn't. So you know, we'll see how that works 727 00:42:11,840 --> 00:42:12,319 Speaker 2: out for him. 728 00:42:12,360 --> 00:42:17,640 Speaker 1: I don't know, it's not up to me, but so okay, 729 00:42:17,680 --> 00:42:20,279 Speaker 1: and then last question, and then well what do you 730 00:42:20,400 --> 00:42:24,600 Speaker 1: think do you think that Travis Kelsey and Taylor Swift's 731 00:42:24,719 --> 00:42:29,799 Speaker 1: relationship is real? And will they stay together now that 732 00:42:31,120 --> 00:42:32,440 Speaker 1: he's a little bit of a loser. 733 00:42:33,160 --> 00:42:35,399 Speaker 3: Yeah, And that's the thing, right, like you know, when 734 00:42:35,440 --> 00:42:36,560 Speaker 3: you're two times and. 735 00:42:36,520 --> 00:42:38,920 Speaker 1: Also she got booed, will he stay with her after? Yeah, 736 00:42:39,200 --> 00:42:40,280 Speaker 1: she's no longer beloved. 737 00:42:41,000 --> 00:42:43,120 Speaker 3: Yeah, it's a lot easier to have the girl when 738 00:42:43,120 --> 00:42:45,480 Speaker 3: you're a two times super Bowl champion, not when you 739 00:42:45,600 --> 00:42:49,280 Speaker 3: lose and get demolished and have a very very bad game. 740 00:42:50,200 --> 00:42:52,920 Speaker 3: It's interesting because we don't know that Travis Kelsey's ever 741 00:42:52,960 --> 00:42:55,879 Speaker 3: going to play football again. There were several reports on 742 00:42:55,960 --> 00:42:59,880 Speaker 3: Sunday that they might retire. So will she want to 743 00:43:00,080 --> 00:43:06,319 Speaker 3: still date post football Kelsey versus Kelsey the superstar and 744 00:43:06,360 --> 00:43:10,920 Speaker 3: I'm more serious. No, you know, they seem genuine, like 745 00:43:10,960 --> 00:43:15,280 Speaker 3: you see them just out in public with pictures and videos. 746 00:43:15,760 --> 00:43:19,440 Speaker 3: But I've come to learn, Lisa, all these celebrity relationships 747 00:43:20,000 --> 00:43:22,880 Speaker 3: are usually a bit for show. So would I'd be 748 00:43:23,000 --> 00:43:25,879 Speaker 3: surprised we just woke up one day and found out 749 00:43:25,920 --> 00:43:30,080 Speaker 3: they were no longer together, not at all, especially given 750 00:43:30,160 --> 00:43:33,040 Speaker 3: both of their track records. Just the way it goes. 751 00:43:33,360 --> 00:43:37,359 Speaker 3: So but I do think when I see them, it 752 00:43:37,480 --> 00:43:41,400 Speaker 3: does seem more genuine than some of these athlete pop 753 00:43:41,400 --> 00:43:45,000 Speaker 3: star relationships that seem like they're just good for branding 754 00:43:45,120 --> 00:43:48,040 Speaker 3: and for show. But I wouldn't go as far as saying, 755 00:43:48,080 --> 00:43:51,080 Speaker 3: this is Patrick and Brittany Mahomes, where you know they've 756 00:43:51,120 --> 00:43:53,520 Speaker 3: known each other forever and we know there is no 757 00:43:54,239 --> 00:43:58,360 Speaker 3: sort of pr incentive for them to stay together. 758 00:43:58,960 --> 00:44:01,560 Speaker 1: Yeah, I know, they seem very much And to be clear, obviously, 759 00:44:01,600 --> 00:44:04,880 Speaker 1: if you actually loved someone, you would stay together with 760 00:44:04,920 --> 00:44:07,720 Speaker 1: them even if they do become a loser in football, 761 00:44:07,880 --> 00:44:09,719 Speaker 1: but I don't know if they're really in love, so 762 00:44:09,760 --> 00:44:12,279 Speaker 1: we'll find out, all right, Bobby, it's great to talk 763 00:44:12,320 --> 00:44:15,839 Speaker 1: to you. My friends appreciate you coming on, and you're 764 00:44:15,920 --> 00:44:17,120 Speaker 1: just a good friend and a good guy. 765 00:44:17,160 --> 00:44:19,399 Speaker 2: And everyone go where can people check out your work? 766 00:44:20,200 --> 00:44:24,120 Speaker 3: Yeahoutkick dot com. Pretty much all of us there in 767 00:44:24,120 --> 00:44:27,200 Speaker 3: some way form or another. But I appreciate you having me, 768 00:44:27,239 --> 00:44:31,239 Speaker 3: and congratulations for you and all your success. I know 769 00:44:31,800 --> 00:44:35,080 Speaker 3: this podcast is killing it. As always say, I'm still 770 00:44:35,080 --> 00:44:38,279 Speaker 3: so proud of you for staying true to who you are. 771 00:44:39,160 --> 00:44:41,600 Speaker 3: At the early stage of COVID, you were one of 772 00:44:41,600 --> 00:44:46,000 Speaker 3: the only people willing to go public with your skepticism 773 00:44:46,040 --> 00:44:50,000 Speaker 3: of the vaccine. That seems simple now because everybody does it, 774 00:44:50,040 --> 00:44:52,960 Speaker 3: but at a time nobody else would. You were one 775 00:44:53,000 --> 00:44:56,440 Speaker 3: of the very first people and you gained a lot 776 00:44:56,440 --> 00:44:59,200 Speaker 3: of my respect for that always and yeah, I just 777 00:44:59,200 --> 00:45:02,359 Speaker 3: want to let everybody know, Oh, I'm how genuine you are. 778 00:45:02,400 --> 00:45:05,399 Speaker 3: You're the exact same Lisa off air that you are 779 00:45:05,400 --> 00:45:07,000 Speaker 3: on air, and that's a rare thing to say. 780 00:45:07,320 --> 00:45:08,400 Speaker 2: That was Bobby Buruk. 781 00:45:08,480 --> 00:45:11,040 Speaker 1: We appreciate him for making the time. Appreciate you guys 782 00:45:11,080 --> 00:45:15,000 Speaker 1: at home for listening every Tuesday and Thursday. Now I 783 00:45:15,000 --> 00:45:17,120 Speaker 1: want to think John Cassio and my producer for putting 784 00:45:17,160 --> 00:45:17,720 Speaker 1: the show together. 785 00:45:17,840 --> 00:45:18,560 Speaker 2: Until next time.