1 00:00:00,200 --> 00:00:03,760 Speaker 1: Welcome in his verdical center. Ted Cruiz post super Bowl show, 2 00:00:03,960 --> 00:00:06,080 Speaker 1: Nice to have you with us center. I know you 3 00:00:06,160 --> 00:00:09,080 Speaker 1: were just really excited about the halftime show. You didn't 4 00:00:09,080 --> 00:00:10,880 Speaker 1: watch any of the game, though, but that part you 5 00:00:10,920 --> 00:00:12,360 Speaker 1: were there for, I'm assuming. 6 00:00:12,080 --> 00:00:15,560 Speaker 2: Right, well, it's Super Bowl Sunday. I will say I 7 00:00:15,560 --> 00:00:17,759 Speaker 2: had the great joy of being on an airplane during 8 00:00:17,800 --> 00:00:20,360 Speaker 2: a lot of the Super Bowl. So I caught part 9 00:00:20,440 --> 00:00:23,440 Speaker 2: of the third quarter and and that was about it. 10 00:00:23,640 --> 00:00:27,920 Speaker 2: So I didn't watch much. I got a field goal 11 00:00:28,040 --> 00:00:31,000 Speaker 2: that that that was about it. I did not see 12 00:00:31,040 --> 00:00:32,920 Speaker 2: the halftime show, although I did pull it up on 13 00:00:33,000 --> 00:00:37,080 Speaker 2: my phone and watch part of it afterwards. But you know, look, 14 00:00:37,120 --> 00:00:38,680 Speaker 2: I mean the Super Bowl. A lot of times, I'll 15 00:00:38,680 --> 00:00:40,440 Speaker 2: go to a Super Bowl party. In this case, I 16 00:00:40,560 --> 00:00:42,879 Speaker 2: was just just flying and landing in Texas, so got 17 00:00:43,800 --> 00:00:49,200 Speaker 2: on the got home midway through. You know, I got 18 00:00:49,240 --> 00:00:54,120 Speaker 2: to say a lot of the noise about the halftime show. Yeah, 19 00:00:54,400 --> 00:00:57,600 Speaker 2: I just found myself not caring. But like I know 20 00:00:57,720 --> 00:01:00,520 Speaker 2: that there were a lot of folks all all worked 21 00:01:00,600 --> 00:01:03,000 Speaker 2: up and on the right. You're supposed to be outraged 22 00:01:03,040 --> 00:01:05,959 Speaker 2: that that that, you know, bad bunny. 23 00:01:06,040 --> 00:01:08,119 Speaker 1: There was like no English spoken. I could have said, 24 00:01:08,440 --> 00:01:11,440 Speaker 1: where the guy was saying yeah, yeah, yeah, So I'm 25 00:01:11,440 --> 00:01:14,200 Speaker 1: not bilingual like you are those center there's a difference. 26 00:01:14,280 --> 00:01:15,399 Speaker 3: See you understood it. 27 00:01:15,480 --> 00:01:18,640 Speaker 2: I did know, Benjamin. Look we Latino was a little 28 00:01:18,680 --> 00:01:20,800 Speaker 2: bit of Spanish. Won't kill you like I. I just 29 00:01:21,520 --> 00:01:24,440 Speaker 2: you know, I don't like the guy's politics. At the Grammys. 30 00:01:24,480 --> 00:01:26,800 Speaker 2: I thought he made an ass of himself, like like 31 00:01:26,880 --> 00:01:29,560 Speaker 2: saying ice out that I that I don't like. And 32 00:01:29,600 --> 00:01:33,039 Speaker 2: I don't really like when celebrities try to force their 33 00:01:33,040 --> 00:01:37,440 Speaker 2: politics on us. But you know, I watched him like 34 00:01:37,600 --> 00:01:40,080 Speaker 2: it in the sugar Cane and dancing around. I think 35 00:01:40,080 --> 00:01:42,000 Speaker 2: most of the halftime shows are kind of silly, so 36 00:01:42,120 --> 00:01:46,040 Speaker 2: like that, this didn't strike me as particularly unusual in 37 00:01:46,600 --> 00:01:50,560 Speaker 2: more or less silliness. You know, the guy falls through 38 00:01:50,600 --> 00:01:52,840 Speaker 2: a roof and lands in someone's apartment. That was just 39 00:01:52,920 --> 00:01:54,960 Speaker 2: kind of strange, But I, you know, it was. 40 00:01:56,640 --> 00:01:58,040 Speaker 4: I found myself. 41 00:01:58,160 --> 00:02:00,000 Speaker 1: We at the level now where you just say, if 42 00:02:00,000 --> 00:02:01,760 Speaker 1: if you're like a singer and this is what you do, 43 00:02:01,840 --> 00:02:03,080 Speaker 1: you just don't give a crap. 44 00:02:04,120 --> 00:02:08,720 Speaker 4: Oh look, I mean I my girls like that bunny. 45 00:02:09,000 --> 00:02:14,240 Speaker 2: I have to admit he's not on my playlist, but 46 00:02:14,520 --> 00:02:16,799 Speaker 2: I have a fifteen and seventeen year old daughter, and 47 00:02:17,320 --> 00:02:21,160 Speaker 2: they listen to him some. Most of the halftime shows 48 00:02:22,120 --> 00:02:24,800 Speaker 2: don't do much for me. I mean it's it's they're fine. 49 00:02:24,840 --> 00:02:29,080 Speaker 2: They're typically typically like pop singers, and you know, I 50 00:02:29,120 --> 00:02:32,160 Speaker 2: tend to listen to more more country music or classic 51 00:02:32,240 --> 00:02:32,880 Speaker 2: rock anyway. 52 00:02:34,440 --> 00:02:35,400 Speaker 4: So look, it was. 53 00:02:37,080 --> 00:02:40,400 Speaker 2: We've already talked more in the last four minutes about 54 00:02:40,440 --> 00:02:42,600 Speaker 2: it that I've probably thought about the whole thing. 55 00:02:43,040 --> 00:02:45,120 Speaker 1: I love and I love it. By the way, did 56 00:02:45,160 --> 00:02:47,120 Speaker 1: you see that turning point? I had like five million 57 00:02:47,160 --> 00:02:49,320 Speaker 1: live watching on YouTube. 58 00:02:49,520 --> 00:02:49,800 Speaker 4: Yeah. 59 00:02:49,840 --> 00:02:51,720 Speaker 2: And look, Kid Rock, you know, I mean Kid Rock 60 00:02:52,120 --> 00:02:56,120 Speaker 2: testified before the Senate this past week, and so I 61 00:02:56,160 --> 00:02:58,280 Speaker 2: got to visit with Kid Rock. He came by my office. 62 00:02:58,160 --> 00:03:02,000 Speaker 2: He was a nice guy. I like him. But to 63 00:03:02,040 --> 00:03:04,480 Speaker 2: be honest, I was on a plane for Kid Rocks too, 64 00:03:04,520 --> 00:03:08,160 Speaker 2: so I didn't didn't watch either one of them. 65 00:03:08,240 --> 00:03:11,000 Speaker 4: You know it it uh, I will say. 66 00:03:11,040 --> 00:03:13,920 Speaker 2: Also, you know, as we talked about last week on 67 00:03:13,960 --> 00:03:19,800 Speaker 2: the pod, on Friday, I was at at my theos 68 00:03:19,840 --> 00:03:24,240 Speaker 2: Sonya's funeral, and and that was up in Dallas, and uh, 69 00:03:24,360 --> 00:03:28,320 Speaker 2: and I spoke at the funeral, and my sister spoke 70 00:03:28,360 --> 00:03:31,160 Speaker 2: at the funeral, and and my cousin Bibie spoke, and 71 00:03:31,200 --> 00:03:34,920 Speaker 2: my dad spoke, and and uh, both my niece and 72 00:03:34,960 --> 00:03:39,200 Speaker 2: nephew spoke, and you know it was it was a 73 00:03:39,240 --> 00:03:41,880 Speaker 2: real celebration of my theos On and actually played a 74 00:03:41,880 --> 00:03:45,800 Speaker 2: lot of Spanish music because my theoso Onia liked it. 75 00:03:45,880 --> 00:03:49,040 Speaker 2: So you know, I enjoyed that more than the snippet. 76 00:03:49,080 --> 00:03:53,600 Speaker 2: I saw a bad buddy, but you know that's fine, 77 00:03:53,760 --> 00:03:55,400 Speaker 2: But I have to say I was just kind of 78 00:03:56,160 --> 00:03:58,040 Speaker 2: like it was a beautiful funeral. 79 00:03:58,800 --> 00:04:00,640 Speaker 4: Uh, she eighty two. 80 00:04:01,720 --> 00:04:05,160 Speaker 2: As as folks know, we we put out last week 81 00:04:05,240 --> 00:04:07,440 Speaker 2: the interview that we did. We we had my thea 82 00:04:07,560 --> 00:04:12,840 Speaker 2: sonya On on verdict and interviewed her and and she 83 00:04:13,120 --> 00:04:15,440 Speaker 2: was she was a freedom fighter. You know, she fought 84 00:04:16,480 --> 00:04:20,000 Speaker 2: against Fidel Castro in Cuba. She was thrown in prison, 85 00:04:20,120 --> 00:04:23,120 Speaker 2: she was tortured. Actually she was along with my ta 86 00:04:23,200 --> 00:04:26,720 Speaker 2: Medium and my my Diamela. Neither of them are my aunts. 87 00:04:26,760 --> 00:04:30,120 Speaker 2: But just in Latin culture, you just kind of collect ds. 88 00:04:31,200 --> 00:04:33,680 Speaker 2: By the way, if your kid, every one of the 89 00:04:33,720 --> 00:04:35,480 Speaker 2: dias will spank every one of the kids. 90 00:04:35,480 --> 00:04:37,839 Speaker 4: I mean it's literally just kind of like if. 91 00:04:37,720 --> 00:04:40,239 Speaker 3: That's that's law and order, that's just how it has 92 00:04:40,279 --> 00:04:40,440 Speaker 3: to go. 93 00:04:41,080 --> 00:04:44,599 Speaker 2: If there's a kid misbehaving, anyone will do that, you 94 00:04:44,640 --> 00:04:45,279 Speaker 2: whack the kid. 95 00:04:45,360 --> 00:04:47,800 Speaker 4: And I got a lot of uh. 96 00:04:47,760 --> 00:04:49,480 Speaker 3: Said, you had a lot of those that in your 97 00:04:49,520 --> 00:04:50,440 Speaker 3: life when you were a kid. 98 00:04:50,839 --> 00:04:54,440 Speaker 2: Well, and their weapon of choice was the chankletta, which 99 00:04:54,520 --> 00:04:56,520 Speaker 2: which is this this bad? 100 00:04:56,920 --> 00:04:58,599 Speaker 3: Translate this for me? What does that mean? 101 00:04:58,800 --> 00:04:59,080 Speaker 4: Okay? 102 00:04:59,200 --> 00:05:03,400 Speaker 2: Schankletta was this like heavy rubber sandal she would wear 103 00:05:04,120 --> 00:05:06,239 Speaker 2: and my the a Sonya could pull off the shank 104 00:05:06,320 --> 00:05:09,040 Speaker 2: land to offer her foot, throw it and she'd whack 105 00:05:09,120 --> 00:05:11,200 Speaker 2: you in the back of the head and it was 106 00:05:11,279 --> 00:05:14,360 Speaker 2: like this you know, boomerang fou and you'd be. 107 00:05:14,279 --> 00:05:15,200 Speaker 4: Like, wow, that hurt. 108 00:05:16,640 --> 00:05:19,479 Speaker 2: She was very good at it. But you know, look 109 00:05:19,480 --> 00:05:23,400 Speaker 2: what I liked about the funeral is it captured her spirit. 110 00:05:24,320 --> 00:05:28,760 Speaker 4: She was loud, she was fiery. She was a warrior 111 00:05:28,839 --> 00:05:29,440 Speaker 4: for liberty. 112 00:05:29,440 --> 00:05:35,000 Speaker 2: Listen, when you've been thrown in, prisoned, and tortured by communists, yeah, 113 00:05:35,320 --> 00:05:36,480 Speaker 2: freedom matters a. 114 00:05:36,520 --> 00:05:38,960 Speaker 4: Lot to you. You know. 115 00:05:39,040 --> 00:05:43,480 Speaker 2: I told the story at the funeral about how when 116 00:05:43,640 --> 00:05:48,279 Speaker 2: when I first ran for Senate back in twenty twelve, 117 00:05:48,279 --> 00:05:51,680 Speaker 2: and I was running against the lieutenant governor who was 118 00:05:51,680 --> 00:05:53,680 Speaker 2: worth a couple of hundred million dollars and so put 119 00:05:53,720 --> 00:05:55,640 Speaker 2: thirty five million dollars of his own money in the 120 00:05:55,720 --> 00:06:00,719 Speaker 2: race and just ran saturation attack ads and Sonya she 121 00:06:00,960 --> 00:06:04,919 Speaker 2: was furious and she she she cursed like a sailor, 122 00:06:05,839 --> 00:06:09,080 Speaker 2: and she was like, I will blake any black geek 123 00:06:09,240 --> 00:06:13,480 Speaker 2: his ass. And I'm like, yeah, Golement, that just means 124 00:06:13,520 --> 00:06:17,800 Speaker 2: calm down. It's not good politically for you to be 125 00:06:17,800 --> 00:06:20,560 Speaker 2: beating up my opponents. And by the way, you would 126 00:06:20,600 --> 00:06:22,760 Speaker 2: not want to fight my theos Onya. She she would, 127 00:06:24,200 --> 00:06:29,279 Speaker 2: she was ferocious. I did have a rule. My theos 128 00:06:29,279 --> 00:06:32,960 Speaker 2: Sonya was not allowed uh to talk to reporters, and 129 00:06:33,000 --> 00:06:36,680 Speaker 2: she'd be like why not, And I'm I'm like, Thea, 130 00:06:36,760 --> 00:06:39,160 Speaker 2: because I know you, and you're liable to say anything. 131 00:06:39,240 --> 00:06:42,280 Speaker 2: You're liable to curse them out. It's from the heart. 132 00:06:42,400 --> 00:06:46,359 Speaker 2: But but let's just let's just figure keep those sentiments 133 00:06:46,360 --> 00:06:48,680 Speaker 2: within the family. There's a reason I called her my 134 00:06:48,800 --> 00:06:53,320 Speaker 2: Thea looka my crazy aunt. But I got to tell 135 00:06:53,360 --> 00:06:59,200 Speaker 2: the story about just a couple of weeks ago when 136 00:06:59,240 --> 00:07:01,120 Speaker 2: I went up to to see her and she was 137 00:07:01,160 --> 00:07:03,919 Speaker 2: she was in the hospital and she was fading fast. 138 00:07:03,960 --> 00:07:06,360 Speaker 2: She was kind of coming in and out of consciousness, 139 00:07:06,360 --> 00:07:10,320 Speaker 2: and she wasn't entirely able to to understand everything that 140 00:07:10,400 --> 00:07:14,120 Speaker 2: was happening. Yeah, and you could tell it was we 141 00:07:14,120 --> 00:07:17,000 Speaker 2: were in the last days. But but I had the 142 00:07:17,080 --> 00:07:21,440 Speaker 2: chance to tell her. I said thea they got Maduro, 143 00:07:22,200 --> 00:07:24,800 Speaker 2: they arrested Maduro and I and I told her, Tia, 144 00:07:26,120 --> 00:07:30,000 Speaker 2: the Cuban Communist government is going to fall soon. And 145 00:07:30,120 --> 00:07:36,120 Speaker 2: she just beamed the smile on her face. Wow it was. 146 00:07:36,440 --> 00:07:39,480 Speaker 2: It was beautiful and and and it was a celebration 147 00:07:39,560 --> 00:07:43,720 Speaker 2: of life. Look, I'm sad, We're all sad that she's gone. 148 00:07:44,120 --> 00:07:48,559 Speaker 2: But she led a full life. Every minute she loved 149 00:07:48,600 --> 00:07:56,000 Speaker 2: living and and and she brought joy, She brought unconditional support. 150 00:07:56,080 --> 00:08:02,680 Speaker 2: She was ferociously loyal. So yeah, I was thinking much 151 00:08:02,720 --> 00:08:06,200 Speaker 2: more about that than than. 152 00:08:04,920 --> 00:08:07,040 Speaker 3: Than some guy named bad Buddy. 153 00:08:07,080 --> 00:08:09,840 Speaker 2: And by the way, I was glad at least, you know, 154 00:08:09,920 --> 00:08:12,160 Speaker 2: the early promos said bad Bunny Bunny was going to 155 00:08:12,240 --> 00:08:15,160 Speaker 2: wear a dress. He didn't wear a dress, at least 156 00:08:15,200 --> 00:08:16,920 Speaker 2: not that I saw, so so I was glad of 157 00:08:16,920 --> 00:08:19,239 Speaker 2: that at least that, you know, small victory. 158 00:08:19,320 --> 00:08:21,040 Speaker 1: Yeah, he leaves that in like you know, the burning 159 00:08:21,040 --> 00:08:23,320 Speaker 1: of flags other places. Right, Yeah, you're not doing the 160 00:08:23,360 --> 00:08:26,720 Speaker 1: Super Bowl, you know, I'm just saying. 161 00:08:27,400 --> 00:08:31,040 Speaker 2: I am curious though, how much Bad Bunny is going 162 00:08:31,120 --> 00:08:33,880 Speaker 2: to be taxed for having gone to the Super Bowl. 163 00:08:34,400 --> 00:08:37,520 Speaker 1: So, by the way, this is the story that I 164 00:08:37,559 --> 00:08:41,400 Speaker 1: think everyone should be outraged over right if I if 165 00:08:41,840 --> 00:08:45,360 Speaker 1: if Bad Bunny didn't get you going. Here is the story, 166 00:08:45,440 --> 00:08:47,720 Speaker 1: and we've got the tax hours. If you want to 167 00:08:47,800 --> 00:08:52,120 Speaker 1: know why California is fading fast and why so many 168 00:08:52,120 --> 00:08:54,040 Speaker 1: people that when they start making money are out there 169 00:08:54,080 --> 00:08:57,120 Speaker 1: and so many people in the in the crypto world 170 00:08:57,160 --> 00:08:59,520 Speaker 1: and the IT world and all the other world are 171 00:08:59,559 --> 00:09:02,880 Speaker 1: like the getting out of there, like they're leaving fast 172 00:09:02,920 --> 00:09:03,480 Speaker 1: as they can. 173 00:09:04,080 --> 00:09:05,200 Speaker 3: Let's just break down. 174 00:09:05,200 --> 00:09:08,480 Speaker 1: We've got some data for people of how much money 175 00:09:08,600 --> 00:09:12,280 Speaker 1: California made off the Super Bowl, of those that were 176 00:09:12,280 --> 00:09:13,959 Speaker 1: actually making money at the Super Bowl. 177 00:09:14,040 --> 00:09:16,199 Speaker 3: It really is incredible data. 178 00:09:16,360 --> 00:09:17,800 Speaker 4: Well it is. 179 00:09:19,520 --> 00:09:21,880 Speaker 2: If you look at Sam Darnold going into the game, 180 00:09:22,760 --> 00:09:24,520 Speaker 2: here's what his incentives were. 181 00:09:25,760 --> 00:09:26,480 Speaker 4: If he wins. 182 00:09:27,160 --> 00:09:29,760 Speaker 2: Yeah, he's going to receive one hundred and seventy eight 183 00:09:29,800 --> 00:09:33,160 Speaker 2: thousand dollars as a bonus, yep, and he will pay 184 00:09:33,200 --> 00:09:36,320 Speaker 2: two hundred and forty nine thousand in taxes to California 185 00:09:36,720 --> 00:09:40,079 Speaker 2: for his time here, meaning he will lose seventy one 186 00:09:40,080 --> 00:09:41,080 Speaker 2: thousand dollars. 187 00:09:41,320 --> 00:09:43,760 Speaker 4: Yeah, that's what ended up happening. 188 00:09:44,200 --> 00:09:48,480 Speaker 2: If he had lost, then he would have gotten one 189 00:09:48,520 --> 00:09:51,760 Speaker 2: hundred and three thousand dollars in bonus, but he would 190 00:09:51,800 --> 00:09:55,680 Speaker 2: still owe two hundred and thirty five thousand in taxes, 191 00:09:55,760 --> 00:09:58,240 Speaker 2: meaning he would have lost one hundred and thirty five 192 00:09:58,280 --> 00:10:01,520 Speaker 2: thousand dollars. So I guess Sam can gratulations. Yeah, you 193 00:10:01,720 --> 00:10:05,280 Speaker 2: only lost seventy one thousand dollars for stepping foot in 194 00:10:05,880 --> 00:10:10,040 Speaker 2: the Commonwealth of California. Uh, instead of losing one hundred 195 00:10:10,040 --> 00:10:13,080 Speaker 2: and thirty five thousand dollars. And what kind of insanity 196 00:10:13,200 --> 00:10:16,600 Speaker 2: is it that that's how the California tax system is. 197 00:10:17,040 --> 00:10:18,800 Speaker 1: Yeah, it is, and it's and I mean this is 198 00:10:18,880 --> 00:10:20,559 Speaker 1: you you fly in there and you just do a 199 00:10:20,640 --> 00:10:23,280 Speaker 1: day's work and you're a performer. They are going to 200 00:10:23,400 --> 00:10:25,520 Speaker 1: take as much money as they can and they don't care. 201 00:10:25,679 --> 00:10:28,720 Speaker 1: Like there now there's there's there was inching articles reading 202 00:10:28,720 --> 00:10:29,320 Speaker 1: online about it. 203 00:10:29,360 --> 00:10:31,480 Speaker 2: Look, look, I think but I think Bad Bunny changed 204 00:10:31,480 --> 00:10:34,400 Speaker 2: his name. He's now Sad Bunny because Sad California took 205 00:10:34,400 --> 00:10:35,000 Speaker 2: all his money. 206 00:10:35,400 --> 00:10:37,840 Speaker 1: See is that You're not wrong on that one. But 207 00:10:37,840 --> 00:10:40,559 Speaker 1: they were talking about bands and and. 208 00:10:40,440 --> 00:10:43,120 Speaker 2: You know, you know if you, if you let California 209 00:10:43,200 --> 00:10:46,079 Speaker 2: keep going, he may soon be like fatal attraction, bunny. 210 00:10:46,120 --> 00:10:48,320 Speaker 4: I mean there's a whole like like a. 211 00:10:48,800 --> 00:10:50,640 Speaker 1: Rabbit, there's a whole rabbit hole you can go down on. 212 00:10:50,679 --> 00:10:52,040 Speaker 1: This one is out right now. 213 00:10:52,080 --> 00:10:55,200 Speaker 2: Oh yeah, all right, I went there than you you 214 00:10:55,280 --> 00:10:55,680 Speaker 2: at worst. 215 00:10:55,720 --> 00:10:58,079 Speaker 3: Okay, you're welcome, You're welcome. I'm here all night. 216 00:10:58,120 --> 00:11:01,400 Speaker 1: Folks, No comedians, though, are of avoid in California for 217 00:11:01,480 --> 00:11:03,040 Speaker 1: the tax reasons you just said. 218 00:11:04,280 --> 00:11:05,240 Speaker 3: I mean it's real. 219 00:11:05,280 --> 00:11:08,000 Speaker 1: Why would you spend the night there if you know 220 00:11:08,040 --> 00:11:09,640 Speaker 1: you're not gonna make near as much money and you 221 00:11:09,679 --> 00:11:12,280 Speaker 1: can choose to go somewhere else, like go to Nevada, 222 00:11:12,640 --> 00:11:14,599 Speaker 1: go to New Mexico. I mean, there's a lot of 223 00:11:14,600 --> 00:11:17,120 Speaker 1: other place you can go to perform. And there's a 224 00:11:17,120 --> 00:11:19,120 Speaker 1: lot of people that the are now sitting. They're actually avoiding 225 00:11:19,160 --> 00:11:21,480 Speaker 1: it for the reasons you just described with those bonuses 226 00:11:21,480 --> 00:11:22,120 Speaker 1: and taxes. 227 00:11:22,559 --> 00:11:25,839 Speaker 2: So, California has the highest marginal income tax of any state. 228 00:11:26,120 --> 00:11:29,000 Speaker 2: Its top marginal rate is thirteen point three percent on 229 00:11:29,080 --> 00:11:32,720 Speaker 2: wage income and on capital gains that exceed one million 230 00:11:32,800 --> 00:11:36,600 Speaker 2: dollars a year. The top rate for waging crome come 231 00:11:36,880 --> 00:11:41,040 Speaker 2: climbs to fourteen point six percent when you include the 232 00:11:41,080 --> 00:11:45,240 Speaker 2: state disability insurance rate, which has no wage cap, and 233 00:11:45,240 --> 00:11:48,600 Speaker 2: that's on top of federal taxes. So federal taxes at 234 00:11:48,640 --> 00:11:50,959 Speaker 2: the top of the tax bracket, you're paying thirty seven 235 00:11:51,000 --> 00:11:56,480 Speaker 2: percent plus fourteen point six percent. So the reason Darnald 236 00:11:56,840 --> 00:12:00,839 Speaker 2: owes that money is because he is tallied with eight 237 00:12:01,880 --> 00:12:04,520 Speaker 2: duty days in California. While they were they get there 238 00:12:04,520 --> 00:12:06,840 Speaker 2: getting ready for the super Bowl, he got popped with it. 239 00:12:07,320 --> 00:12:10,439 Speaker 2: Welcome to California, congratulations on the super Bowl. And by 240 00:12:10,480 --> 00:12:13,120 Speaker 2: the way, when you play the super Bowl in Texas, 241 00:12:13,120 --> 00:12:14,800 Speaker 2: we don't text you a penny and you get great 242 00:12:14,800 --> 00:12:15,560 Speaker 2: text mes. 243 00:12:15,840 --> 00:12:18,680 Speaker 1: Yeah, exactly. There's a reason why. By the way, golfers 244 00:12:18,720 --> 00:12:21,400 Speaker 1: hate playing and winning at Pebble Beach. They get mad 245 00:12:21,480 --> 00:12:23,320 Speaker 1: because when they win there or when there was the 246 00:12:23,400 --> 00:12:25,320 Speaker 1: La Country Club at the US Open, they were like 247 00:12:25,679 --> 00:12:28,400 Speaker 1: you basically think you're getting this big paycheck and then 248 00:12:28,640 --> 00:12:31,120 Speaker 1: you call you' like what happened? Like, dude, you want 249 00:12:31,120 --> 00:12:33,960 Speaker 1: in California. I can't help you there. If you're gonna 250 00:12:33,960 --> 00:12:35,960 Speaker 1: win your first time on tour, you don't want it 251 00:12:36,000 --> 00:12:38,640 Speaker 1: to be in California. For that reason. For the next 252 00:12:38,640 --> 00:12:41,440 Speaker 1: sixty seconds, can you hit pause on your life and 253 00:12:41,640 --> 00:12:45,319 Speaker 1: just think about this. Every day, millions of children face 254 00:12:45,360 --> 00:12:49,520 Speaker 1: a crushing reality, a constant defeating message echoes and their 255 00:12:49,559 --> 00:12:52,839 Speaker 1: empty stomachs and their desperate eyes. It is that you 256 00:12:52,880 --> 00:12:56,280 Speaker 1: don't matter. Poverty doesn't just steal food and shelter. It 257 00:12:56,360 --> 00:13:00,640 Speaker 1: steals hope, dignity, and the fundamental belief that they But 258 00:13:00,679 --> 00:13:04,200 Speaker 1: there's another message, one of boundless love and hope. Through 259 00:13:04,240 --> 00:13:08,760 Speaker 1: Compassion International, you can change the child's story forever. You 260 00:13:08,800 --> 00:13:11,400 Speaker 1: can sponsor child just like I do. You can introduce 261 00:13:11,400 --> 00:13:14,400 Speaker 1: them to a loving, heavenly father. You can equip them 262 00:13:14,400 --> 00:13:18,760 Speaker 1: with education, healthcare, and the support to overcome poverty. This 263 00:13:18,840 --> 00:13:24,240 Speaker 1: isn't just about one child. It's about transforming families, revitalizing communities, 264 00:13:24,400 --> 00:13:29,440 Speaker 1: and changing nations. It's about proving that every child truly matters. 265 00:13:29,679 --> 00:13:32,360 Speaker 1: So help give a child a future, give them hope. 266 00:13:32,559 --> 00:13:38,360 Speaker 1: Visit Compassion dot com today. That's Compassion dot com. All right, 267 00:13:38,440 --> 00:13:40,360 Speaker 1: let's move on to some other big stuff here center 268 00:13:40,400 --> 00:13:42,360 Speaker 1: that I want to deal with. And there's something you 269 00:13:42,400 --> 00:13:44,560 Speaker 1: want to talk about which I really like this subject 270 00:13:44,600 --> 00:13:47,920 Speaker 1: and it deals with left wing funders that are being exposed. 271 00:13:48,040 --> 00:13:49,840 Speaker 1: I actually think this is going to be a trend 272 00:13:50,280 --> 00:13:52,920 Speaker 1: with what we're witnessing with with with all the attacks 273 00:13:52,960 --> 00:13:54,400 Speaker 1: on ice around the country. 274 00:13:54,720 --> 00:13:57,000 Speaker 3: I think we're going to more of this. Follow the money. 275 00:13:57,040 --> 00:13:58,959 Speaker 1: You've been saying that on the show for a while, 276 00:13:59,080 --> 00:14:01,679 Speaker 1: Follow the money, tholl the money, follow the money. And 277 00:14:01,720 --> 00:14:03,720 Speaker 1: we have a new example of that that we're going 278 00:14:03,760 --> 00:14:06,360 Speaker 1: to expose here. So I hope everyone listening or watching 279 00:14:06,760 --> 00:14:08,960 Speaker 1: will make sure you hit that chare button share this 280 00:14:09,000 --> 00:14:10,880 Speaker 1: episode on social media, because we're going to be a 281 00:14:10,920 --> 00:14:13,559 Speaker 1: part of that in a very big way and explain 282 00:14:13,640 --> 00:14:14,680 Speaker 1: what we've now found. 283 00:14:15,400 --> 00:14:17,760 Speaker 2: Well, there was a very interesting column in the Wall 284 00:14:17,760 --> 00:14:22,160 Speaker 2: Street Journal about the Mellon Foundation, and the Mellon Foundation 285 00:14:22,480 --> 00:14:25,960 Speaker 2: is America's biggest funder of the humanities, and it is 286 00:14:26,160 --> 00:14:30,680 Speaker 2: a radical leftist foundation. And let me read from this column. 287 00:14:31,160 --> 00:14:34,040 Speaker 2: The University of Virginia launched a hiring spree in twenty 288 00:14:34,080 --> 00:14:38,600 Speaker 2: twenty as it pledged to become a racial equity focused university. 289 00:14:39,560 --> 00:14:44,200 Speaker 2: A special initiative promised to recruit thirty doctoral fellows and 290 00:14:44,360 --> 00:14:47,920 Speaker 2: quote opened the gateway for them to fill tenure tech jobs. 291 00:14:48,520 --> 00:14:54,680 Speaker 2: One current fellow specialties include transfeminisms and gender queer life writing. 292 00:14:55,640 --> 00:15:02,480 Speaker 2: Another researches how Filipino nurses resist racial Capitalism. The program 293 00:15:02,600 --> 00:15:07,400 Speaker 2: owes its existence to the Andrew W. Mellon Foundation, which 294 00:15:07,480 --> 00:15:11,880 Speaker 2: funded it to the tune of five million dollars. With 295 00:15:11,960 --> 00:15:15,720 Speaker 2: a seven point seven billion dollar endowment, the Mellon Foundation 296 00:15:15,880 --> 00:15:19,240 Speaker 2: is the nation's largest supporter of the arts and humanities. 297 00:15:20,000 --> 00:15:23,760 Speaker 2: Its annual giving has long dwarfed that of the National 298 00:15:23,880 --> 00:15:27,800 Speaker 2: Endowment for the Humanities. In recent years, it has been 299 00:15:27,840 --> 00:15:32,360 Speaker 2: refashioned as a tool for advancing an identitarian vision of 300 00:15:32,440 --> 00:15:40,440 Speaker 2: social justice for academia. The consequences are far reaching. Through 301 00:15:40,480 --> 00:15:45,440 Speaker 2: public record requests, I've acquired dozens of proposals and progress 302 00:15:45,480 --> 00:15:50,120 Speaker 2: reports for Mellon funded projects. The records show how the 303 00:15:50,160 --> 00:15:55,960 Speaker 2: foundation has lavishly promoted progressive scholar activism. At the University 304 00:15:55,960 --> 00:16:03,840 Speaker 2: of Utah, the Transformative Intersection Collective created workshops on transgender 305 00:16:03,920 --> 00:16:10,600 Speaker 2: and queer of color critique and quote environmental anti racism, 306 00:16:10,640 --> 00:16:14,400 Speaker 2: supported by a half million dollar MELON grant. At the 307 00:16:14,480 --> 00:16:20,920 Speaker 2: University of California, Santa Cruz, the Visualizing Abolition Project promotes 308 00:16:21,000 --> 00:16:26,520 Speaker 2: research and art that calls for the elimination of prisons. 309 00:16:27,240 --> 00:16:31,720 Speaker 2: With the support of eight million dollars from MELON for 310 00:16:31,840 --> 00:16:35,160 Speaker 2: much of its existence, the Mellon Foundation narrowly supported the 311 00:16:35,280 --> 00:16:39,440 Speaker 2: arts and humanities. One signature product project was the creation 312 00:16:39,640 --> 00:16:44,680 Speaker 2: of jstor, the widely used online database of academic research. 313 00:16:45,320 --> 00:16:50,120 Speaker 2: The foundation avoided controversy that changed with the dawn of 314 00:16:50,120 --> 00:16:53,680 Speaker 2: the social justice era. As early as twenty fourteen, then 315 00:16:53,760 --> 00:16:56,960 Speaker 2: President Earl Lewis told The Chronicle of Higher Education that 316 00:16:57,000 --> 00:17:01,160 Speaker 2: the Foundation would take a more activist approach, especially around 317 00:17:01,240 --> 00:17:06,080 Speaker 2: issues of race. On taking over in twenty eighteen, the 318 00:17:06,160 --> 00:17:12,920 Speaker 2: current president, nutjob nutjob is me editorializing Nutjob, Elizabeth Alexander, 319 00:17:13,440 --> 00:17:18,880 Speaker 2: announced that Melon would view all of its giving through 320 00:17:18,920 --> 00:17:23,240 Speaker 2: the lens of social justice. This new ideological mission is 321 00:17:23,280 --> 00:17:27,600 Speaker 2: notable because of Mellon's great influence within the academy, especially 322 00:17:28,119 --> 00:17:32,080 Speaker 2: in hiring and promoting faculty. As jobs in the humanities 323 00:17:32,119 --> 00:17:35,760 Speaker 2: have become ever more scarce, Melon has poured millions of 324 00:17:35,840 --> 00:17:41,760 Speaker 2: dollars into career building, fellowships, and faculty hiring schemes, putting 325 00:17:41,760 --> 00:17:46,520 Speaker 2: its stamp on professors around the country. Melon money appears 326 00:17:46,680 --> 00:17:50,280 Speaker 2: up and down the academic career ladder. The Melon Mays 327 00:17:50,359 --> 00:17:54,400 Speaker 2: Undergraduate Fellowship, which has received thirty eight point three million 328 00:17:54,520 --> 00:17:59,560 Speaker 2: dollars since twenty twenty. Steers college students towards an academic career. 329 00:18:00,359 --> 00:18:05,000 Speaker 2: The Mellon Funded Dissertation Innovation Fellowship, supported by eight point 330 00:18:05,080 --> 00:18:08,520 Speaker 2: nine million dollars since twenty twenty two, gives a living 331 00:18:08,600 --> 00:18:13,720 Speaker 2: stipend to forty five graduate students annually. Mellon has given 332 00:18:13,880 --> 00:18:18,359 Speaker 2: six million dollars to Wayne State University, four point six 333 00:18:18,440 --> 00:18:23,159 Speaker 2: million to Texas A and M University, and fifteen million 334 00:18:23,240 --> 00:18:26,920 Speaker 2: dollars to the University of California system, all to hire 335 00:18:27,000 --> 00:18:31,760 Speaker 2: faculty with the MELON emerging faculty leaders in other programs. 336 00:18:32,320 --> 00:18:37,440 Speaker 2: Mellon's support continues well into a professor's career. MELON grantees 337 00:18:37,560 --> 00:18:42,920 Speaker 2: often signal their discriminatory intent. A University of Virginia grant 338 00:18:42,920 --> 00:18:46,080 Speaker 2: proposal notes that Mellon's five million dollar gift would go 339 00:18:46,320 --> 00:18:50,639 Speaker 2: towards quote advancing our goal of doubling the number of 340 00:18:51,080 --> 00:18:55,880 Speaker 2: faculty of color at UVA by twenty thirty. A University 341 00:18:55,880 --> 00:19:01,560 Speaker 2: of Oregon proposal promises a special postdoctoral fellowship to establish 342 00:19:01,560 --> 00:19:05,919 Speaker 2: a pipeline for quote Black, Indigenous and people of color 343 00:19:06,080 --> 00:19:12,119 Speaker 2: bipock in the Professoriate. Its progress report notes that quote 344 00:19:12,760 --> 00:19:18,280 Speaker 2: all interviewees identified as black, Indigenous, and people of color. 345 00:19:18,280 --> 00:19:21,199 Speaker 2: In other words, we are only looking at people if 346 00:19:21,240 --> 00:19:27,040 Speaker 2: we can racially discriminate. Perhaps most significantly, Melon funded personnel 347 00:19:27,040 --> 00:19:33,919 Speaker 2: building programs almost uniformly espouse a distinctly identitarian brand of progressivism. 348 00:19:34,280 --> 00:19:37,840 Speaker 2: At Emery University, you're going to like this. Melon May's 349 00:19:37,880 --> 00:19:43,920 Speaker 2: fellows study eco womanism, whatever the hell that is. They 350 00:19:43,960 --> 00:19:52,000 Speaker 2: study black trans studies and racial colonial capitalism. Students who 351 00:19:52,400 --> 00:19:59,920 Speaker 2: specialize in intersectional neologisms will be well prepared for Melon 352 00:20:00,119 --> 00:20:04,600 Speaker 2: funded faculty jobs. In twenty twenty three, Ohio State put 353 00:20:04,640 --> 00:20:07,600 Speaker 2: out a job ad. So, this is Ohio State. What 354 00:20:07,640 --> 00:20:13,960 Speaker 2: are they looking for? A quote assistant professor of Black Sexualities, 355 00:20:15,200 --> 00:20:19,879 Speaker 2: noting a recent two million dollar Mellon Foundation gift that 356 00:20:20,000 --> 00:20:22,800 Speaker 2: was that funded ten new faculty positions. 357 00:20:23,240 --> 00:20:24,719 Speaker 3: Right by the way, I'm just thinking about that. 358 00:20:24,760 --> 00:20:26,639 Speaker 1: They're like, if you get that job and you're like, 359 00:20:26,800 --> 00:20:29,199 Speaker 1: do you call mom and are you like proud of that? 360 00:20:29,560 --> 00:20:31,480 Speaker 3: Or are you more like, yeah, I got the new job. 361 00:20:32,000 --> 00:20:37,760 Speaker 2: Well, the person who got it, Zalika Ibba or Remi. 362 00:20:38,240 --> 00:20:43,479 Speaker 2: The professor hired for the job, lists black porn and 363 00:20:43,640 --> 00:20:48,760 Speaker 2: black sexual logics among her areas of expertise. 364 00:20:49,200 --> 00:20:50,640 Speaker 3: Oh there you okay, there you go. 365 00:20:51,200 --> 00:20:55,440 Speaker 2: Melon has bankrolled many professors notorious for their activism. At 366 00:20:55,440 --> 00:21:00,320 Speaker 2: the Socialism twenty twenty five conference, assistant professor e Mn 367 00:21:01,080 --> 00:21:06,400 Speaker 2: abdel Hadi referred to her employer, the University of Chicago, 368 00:21:06,520 --> 00:21:09,800 Speaker 2: as evil and a colonial landlord. By the way, if 369 00:21:09,840 --> 00:21:12,280 Speaker 2: you call your employer evil, you should be fired. That's 370 00:21:12,280 --> 00:21:17,680 Speaker 2: just very simple, but not hard. Conceded that working there 371 00:21:18,560 --> 00:21:23,760 Speaker 2: was useful for political organizing. Ms abdel Hadi came up 372 00:21:23,800 --> 00:21:28,840 Speaker 2: through the University of Chicago's provost post Doctoral Fellowship program, 373 00:21:29,320 --> 00:21:33,880 Speaker 2: a longstanding Melon funded hiring program. A few months after 374 00:21:33,920 --> 00:21:38,040 Speaker 2: the conference, she was arrested at wait for it, an 375 00:21:38,080 --> 00:21:45,240 Speaker 2: anti ice protest, and charged and charged two counts of 376 00:21:45,480 --> 00:21:48,120 Speaker 2: aggravated battery of a police officer. 377 00:21:48,400 --> 00:21:48,600 Speaker 1: Yah. 378 00:21:48,760 --> 00:21:50,600 Speaker 3: You know that's the money well spent, right. 379 00:21:51,119 --> 00:21:56,240 Speaker 2: She has pleaded not guilty. Mellon's funding has amplified a 380 00:21:56,440 --> 00:22:00,560 Speaker 2: bleak trajectory for the academy today. A young and drawn 381 00:22:00,600 --> 00:22:04,320 Speaker 2: to traditional fields like military history or classics should think 382 00:22:04,400 --> 00:22:08,840 Speaker 2: twice before entering the academy. A young scholar who quote 383 00:22:09,359 --> 00:22:15,600 Speaker 2: advances an anti capitalist, prison abolitionist agenda, as one Ohio 384 00:22:15,680 --> 00:22:20,719 Speaker 2: State professor put it, can find abundance support, especially from 385 00:22:20,760 --> 00:22:26,120 Speaker 2: the Mellon Foundation. Higher education reform will only succeed when 386 00:22:26,240 --> 00:22:30,560 Speaker 2: this unfortunate trend is reversed. And this was written by 387 00:22:30,560 --> 00:22:33,680 Speaker 2: mister Saylor, who's the director of the Higher Education Policy 388 00:22:33,720 --> 00:22:36,880 Speaker 2: at the Manhattan Institute. This is the kind of poison. 389 00:22:36,920 --> 00:22:39,760 Speaker 2: If you look at our universities and say why have 390 00:22:39,920 --> 00:22:42,919 Speaker 2: they gotten so bad? Why have they gone so far 391 00:22:43,359 --> 00:22:47,359 Speaker 2: off track? You have radicals who are controlling, as you 392 00:22:47,400 --> 00:22:49,119 Speaker 2: mentioned and over. 393 00:22:49,320 --> 00:22:51,880 Speaker 1: Saying well, give you faculty, we get to pick them out, 394 00:22:51,960 --> 00:22:53,840 Speaker 1: and this is what you've got to hire, but we'll 395 00:22:53,880 --> 00:22:55,720 Speaker 1: give you the money to hire them. And then you 396 00:22:55,760 --> 00:22:59,639 Speaker 1: can radicalize university just by paying and in poying the 397 00:22:59,680 --> 00:23:02,399 Speaker 1: people and putting them in, placing them at the universities. 398 00:23:02,880 --> 00:23:05,440 Speaker 1: This is paid to play and it's in its simplest form. 399 00:23:05,760 --> 00:23:09,320 Speaker 2: Look it's it's follow the money, and you have radicals 400 00:23:09,320 --> 00:23:11,320 Speaker 2: who are taking over. And by the way, Andrew Mellon 401 00:23:11,480 --> 00:23:16,360 Speaker 2: was not a socialist, was not a transgender like porn 402 00:23:16,760 --> 00:23:19,040 Speaker 2: officioato that we know of that we know of, to 403 00:23:19,080 --> 00:23:22,720 Speaker 2: be fair, But you look at and this is one 404 00:23:22,720 --> 00:23:27,240 Speaker 2: of the real challenges. The great capitalists of a prior era. 405 00:23:28,240 --> 00:23:31,720 Speaker 2: They gave much of their money to foundations and they 406 00:23:31,840 --> 00:23:34,560 Speaker 2: initially appointed people to run the foundations, and then time 407 00:23:34,600 --> 00:23:38,359 Speaker 2: passes and those foundations over and over and over again 408 00:23:38,359 --> 00:23:42,440 Speaker 2: have been captured by radical leftists. The Ford Foundation. Henry 409 00:23:42,520 --> 00:23:45,879 Speaker 2: Ford would would roll over in his grave if he 410 00:23:45,960 --> 00:23:49,800 Speaker 2: knew the garbage the Ford Foundation funds. And it's one 411 00:23:49,840 --> 00:23:51,680 Speaker 2: of the things people on the right need to think 412 00:23:51,800 --> 00:23:56,680 Speaker 2: much more carefully about if if they are engaged in philanthropy, 413 00:23:56,880 --> 00:24:01,240 Speaker 2: making sure that it's not captured, because that's been one 414 00:24:01,280 --> 00:24:04,720 Speaker 2: of the real sources of a propaganda and a perversion 415 00:24:04,760 --> 00:24:08,960 Speaker 2: of these institutions is capturing the money flow that goes 416 00:24:09,000 --> 00:24:10,520 Speaker 2: into colleges and universities. 417 00:24:11,040 --> 00:24:11,639 Speaker 3: Yeah, it is. 418 00:24:11,760 --> 00:24:14,120 Speaker 1: It's incredible, and you go back to find the money 419 00:24:14,119 --> 00:24:16,560 Speaker 1: and let's go back to ICE protests real quick. This 420 00:24:16,680 --> 00:24:18,600 Speaker 1: is very much going to be the same playbook. It's 421 00:24:18,600 --> 00:24:20,280 Speaker 1: part of the reason why you say follow the money 422 00:24:20,560 --> 00:24:23,600 Speaker 1: and see who's bringing it in, because they're paying these activists. 423 00:24:23,600 --> 00:24:26,439 Speaker 1: There was a video that went viral of them practicing 424 00:24:26,480 --> 00:24:29,919 Speaker 1: their chance and chance anti ICE chants before one of 425 00:24:29,920 --> 00:24:33,919 Speaker 1: their protests. It looked like in a church and getting 426 00:24:34,000 --> 00:24:37,080 Speaker 1: all of the protesters there to then teach them their chance, 427 00:24:37,080 --> 00:24:39,920 Speaker 1: and the video went viral over the weekend. That's all 428 00:24:39,960 --> 00:24:42,560 Speaker 1: being funded by somebody. This is not organic. 429 00:24:43,560 --> 00:24:43,760 Speaker 4: Yeah. 430 00:24:43,840 --> 00:24:46,760 Speaker 2: Look, Laura Ingram was talking to some of the protesters 431 00:24:46,760 --> 00:24:48,440 Speaker 2: on the street and you said you should be working 432 00:24:48,480 --> 00:24:50,720 Speaker 2: at a job, and then the protest said, I am, 433 00:24:50,720 --> 00:24:55,240 Speaker 2: I'm getting paid like it's there is real money that 434 00:24:55,400 --> 00:25:01,840 Speaker 2: is fomenting violence, and that is quite literally fomenting revolution. 435 00:25:02,080 --> 00:25:03,840 Speaker 2: That that's what they're trying to do. 436 00:25:04,680 --> 00:25:06,840 Speaker 1: I got to ask you a question, can you buy 437 00:25:06,920 --> 00:25:11,080 Speaker 1: ro bitcoin in your retirement account? Well, if not, it's 438 00:25:11,160 --> 00:25:15,320 Speaker 1: time to upgrade to bitcoin IRA. It's twenty twenty six 439 00:25:15,400 --> 00:25:19,800 Speaker 1: and cryptocurrency is where so many investors are going and diversifying. 440 00:25:20,280 --> 00:25:24,159 Speaker 1: You can buy and sell bitcoin inside a tax advantage 441 00:25:24,280 --> 00:25:28,240 Speaker 1: IRA with Bitcoin IRA, and that gives you more ways 442 00:25:28,280 --> 00:25:33,400 Speaker 1: to diversify and grow your retirement savings. Security is their 443 00:25:33,480 --> 00:25:37,640 Speaker 1: number one priority, and your assets are protected by military 444 00:25:37,720 --> 00:25:41,600 Speaker 1: grade multi key security and you're covered up to two 445 00:25:41,640 --> 00:25:46,479 Speaker 1: hundred and fifty million in digital asset insurance. So what 446 00:25:46,520 --> 00:25:50,240 Speaker 1: are you waiting for? Get in the bitcoin game today 447 00:25:50,440 --> 00:25:54,040 Speaker 1: and diversify your portfolio. You actually talk to a real 448 00:25:54,119 --> 00:25:59,240 Speaker 1: person eight six six six seventy nine six' eight seven 449 00:25:59,440 --> 00:26:05,240 Speaker 1: one eight six six six seven nine seven eight seven 450 00:26:05,280 --> 00:26:09,320 Speaker 1: to one or bitcoin ira dot com slash ben that's 451 00:26:09,400 --> 00:26:13,160 Speaker 1: bitcoin ira dot com slash ben to open a free 452 00:26:13,200 --> 00:26:16,600 Speaker 1: account and earn up to one thousand dollars. Bonus right. 453 00:26:16,640 --> 00:26:19,040 Speaker 1: NOW i want to make To virginia real quick as. 454 00:26:19,040 --> 00:26:22,160 Speaker 1: Well and this is another big story that is happening 455 00:26:22,480 --> 00:26:27,040 Speaker 1: very quickly post election. Day and it's an important story 456 00:26:27,080 --> 00:26:30,280 Speaker 1: BECAUSE i do think this could be a real moment 457 00:26:30,359 --> 00:26:33,680 Speaker 1: of clarity Of, hey the midterms are coming, out pay. 458 00:26:33,720 --> 00:26:37,600 Speaker 1: Attention democrats are ready and, inspired but they are working 459 00:26:37,640 --> 00:26:41,440 Speaker 1: at light speed to enact their radical. Agenda you could 460 00:26:41,480 --> 00:26:43,720 Speaker 1: also argue that they've learned this From Donald. Trump Donald 461 00:26:43,760 --> 00:26:47,000 Speaker 1: trump came in rocking and rolling day one into this second. 462 00:26:47,080 --> 00:26:49,439 Speaker 1: Term he learned a lot from his first. Term he 463 00:26:49,520 --> 00:26:52,080 Speaker 1: learned about how fashion get things done if you're. Prepared 464 00:26:52,560 --> 00:26:54,679 Speaker 1: and Now democrats seem to be doing that with their 465 00:26:54,760 --> 00:26:58,520 Speaker 1: radical agenda In. Virginia what they're already doing, there it 466 00:26:58,600 --> 00:27:00,880 Speaker 1: is a warning for the mid. Terms what can happen 467 00:27:00,920 --> 00:27:02,040 Speaker 1: If democrats get. 468 00:27:01,880 --> 00:27:06,040 Speaker 2: Power well and, look understand that there is no such 469 00:27:06,119 --> 00:27:07,440 Speaker 2: thing as a Moderate democrat. 470 00:27:07,480 --> 00:27:08,840 Speaker 4: Anymore, no they're. 471 00:27:08,880 --> 00:27:12,840 Speaker 2: Dead Abigail spanburger Like ran claiming to be a moderate 472 00:27:13,480 --> 00:27:16,399 Speaker 2: and only the Most gullible believed. Her all of The, 473 00:27:16,440 --> 00:27:20,280 Speaker 2: democrats they've been. Radicalized this is a party that is 474 00:27:20,359 --> 00:27:27,679 Speaker 2: driven by the open, border abolish, police transgenders. Zelos so 475 00:27:27,720 --> 00:27:29,920 Speaker 2: what has she done in her first few. Days, well 476 00:27:30,280 --> 00:27:31,879 Speaker 2: one of the very first things she did is she 477 00:27:31,960 --> 00:27:35,840 Speaker 2: cut ties WITH ice in Federal Immigration, enforcement which means 478 00:27:36,440 --> 00:27:40,119 Speaker 2: If virginia has a criminal illegal, Alien If virginia has 479 00:27:40,160 --> 00:27:43,240 Speaker 2: an illegal alien who's a murderer or a rapist or 480 00:27:43,680 --> 00:27:46,400 Speaker 2: or child, molester they will let him go and even 481 00:27:46,440 --> 00:27:50,000 Speaker 2: though they're illegal. Alien virginia is now going to refuse 482 00:27:50,160 --> 00:27:54,480 Speaker 2: to cooperate WITH, ice refuse to handle handle hand murderers 483 00:27:54,520 --> 00:27:58,919 Speaker 2: over TO, ice and, instead What Abigail spanburger is saying 484 00:27:58,960 --> 00:28:01,840 Speaker 2: is the people Of virginia would rather that the murderers 485 00:28:01,880 --> 00:28:07,400 Speaker 2: be released into their communities and prey on their. Children she's, 486 00:28:07,440 --> 00:28:14,000 Speaker 2: also quite dramatically this week signed a redistricting bill that 487 00:28:14,680 --> 00:28:22,639 Speaker 2: is nothing short of radical and. Unfortunately so let's do the. 488 00:28:22,680 --> 00:28:26,720 Speaker 2: Math virginia has eleven congressional seats right. Now the current 489 00:28:26,760 --> 00:28:32,159 Speaker 2: delegation is Six, democrats Five. Republicans virginia just had a 490 00:28:32,200 --> 00:28:35,080 Speaker 2: takeover Of democrats of the state legislature and the governor's. 491 00:28:35,080 --> 00:28:38,360 Speaker 2: Mansion they redrew the map and they went from Six 492 00:28:38,440 --> 00:28:41,360 Speaker 2: democrats and Five republicans to a map that is designed 493 00:28:41,400 --> 00:28:46,320 Speaker 2: to produce Ten democrats and One. Republican, now, now what 494 00:28:46,360 --> 00:28:49,520 Speaker 2: does the math? Mean So virginia is a pretty it's 495 00:28:49,520 --> 00:28:53,680 Speaker 2: a blue to purple. State in twenty twenty, four forty 496 00:28:53,880 --> 00:28:58,040 Speaker 2: seven percent of the state voted For Donald. Trump So 497 00:28:58,160 --> 00:29:01,000 Speaker 2: kamala Won, virginia but fifty three forty seven it is 498 00:29:01,040 --> 00:29:04,680 Speaker 2: a very, close close. Tight the forty seven percent Of 499 00:29:04,760 --> 00:29:07,000 Speaker 2: virginians who voted For, trump they are now going to 500 00:29:07,040 --> 00:29:11,320 Speaker 2: get nine percent of the congressional representation in the. State, 501 00:29:11,960 --> 00:29:14,360 Speaker 2: wow how about the fifty two percent Of virginia who 502 00:29:14,440 --> 00:29:17,280 Speaker 2: voted For? Harris you know how much they? 503 00:29:17,320 --> 00:29:18,160 Speaker 3: Get how? 504 00:29:18,240 --> 00:29:23,640 Speaker 2: Much ninety one? Percent there you, go fifty two percent 505 00:29:23,680 --> 00:29:26,640 Speaker 2: of the. State The democrats get ninety one percent of 506 00:29:27,240 --> 00:29:32,920 Speaker 2: the congressional. Representation now On, twitter you could hear the 507 00:29:33,480 --> 00:29:35,880 Speaker 2: left he, saying ah, ah But texas did. It this 508 00:29:36,000 --> 00:29:38,240 Speaker 2: is all About. Texas, okay let's look at the. Math, 509 00:29:39,400 --> 00:29:45,880 Speaker 2: texas fifty six percent Of texans voted For Donald. Trump 510 00:29:47,200 --> 00:29:51,120 Speaker 2: in the new map That texas, drew that fifty six 511 00:29:51,200 --> 00:29:54,080 Speaker 2: will get seventy nine percent of the. Seat so, look 512 00:29:54,120 --> 00:29:57,160 Speaker 2: it is drawn to favor the party in, power but 513 00:29:57,240 --> 00:29:59,880 Speaker 2: it is not remotely as. Brazen by the, way cal 514 00:30:00,120 --> 00:30:03,719 Speaker 2: foreign their new map also is designed to give The 515 00:30:03,720 --> 00:30:08,080 Speaker 2: democrats more than ninety percent of the congressional. Delegation and 516 00:30:08,120 --> 00:30:12,200 Speaker 2: you know, what The northeast is even. Worse you look 517 00:30:12,280 --> 00:30:15,760 Speaker 2: at at at at states Like, maine states Like New, 518 00:30:15,760 --> 00:30:18,960 Speaker 2: hampshire states Like, vermont states Like Rhode, island states Like, 519 00:30:19,000 --> 00:30:23,880 Speaker 2: connecticut where states Like, Massachusetts. Massachusetts do you know how 520 00:30:23,920 --> 00:30:26,000 Speaker 2: Many republican members Of congress are Elected? 521 00:30:26,000 --> 00:30:28,320 Speaker 3: MASSACHUSETTS i want to say it's one or zero. 522 00:30:28,640 --> 00:30:32,560 Speaker 2: Zero all Of New, england all Of New. England they're 523 00:30:32,760 --> 00:30:35,760 Speaker 2: just Like republicans don't. Exist we will erase. 524 00:30:35,880 --> 00:30:40,240 Speaker 1: You and by the, way by the, way what happens 525 00:30:40,240 --> 00:30:41,520 Speaker 1: with this is this going to be a back and 526 00:30:41,560 --> 00:30:43,360 Speaker 1: forth tit for tat when you see this type of 527 00:30:43,440 --> 00:30:45,720 Speaker 1: egregious so then other states are gonna have to counter. 528 00:30:45,760 --> 00:30:46,800 Speaker 3: It is that just how we're going to. 529 00:30:46,880 --> 00:30:48,800 Speaker 4: Go so there was a left wing. 530 00:30:48,800 --> 00:30:52,120 Speaker 2: DEMOCRAT i responded to this AND i tweeted out a 531 00:30:52,120 --> 00:30:54,920 Speaker 2: brazen abuse of power and an insult to. Democracy AND 532 00:30:55,120 --> 00:30:57,960 Speaker 2: i went through the numbers you just talked about and 533 00:30:58,400 --> 00:31:01,720 Speaker 2: this left Wing democrat state senator came, back Who i'd 534 00:31:01,960 --> 00:31:04,240 Speaker 2: never heard of and actually didn't even know about this 535 00:31:04,360 --> 00:31:06,880 Speaker 2: until someone of my staff told me told me about. 536 00:31:06,880 --> 00:31:10,360 Speaker 2: It but she responded by, saying you all started, it 537 00:31:10,440 --> 00:31:12,680 Speaker 2: and we effing finished. It and by the, way she 538 00:31:12,720 --> 00:31:17,200 Speaker 2: did not abbreviate. Efing so she's a charming and lovely. Person, clearly, 539 00:31:17,360 --> 00:31:22,520 Speaker 2: Yes and you know there's something richly ironic about, it 540 00:31:22,600 --> 00:31:27,200 Speaker 2: because Every democrat loves to preen about how much they love, 541 00:31:27,240 --> 00:31:32,800 Speaker 2: democracy and yet it's quite evident that they don't care 542 00:31:32,840 --> 00:31:35,280 Speaker 2: at all about. Democracy what they care about is keeping 543 00:31:35,360 --> 00:31:39,200 Speaker 2: democrats in. Power that is practically the only thing they care. 544 00:31:39,240 --> 00:31:43,320 Speaker 2: ABOUT i want you to listen To Abigail spanberger talking 545 00:31:43,360 --> 00:31:46,000 Speaker 2: about jerry, mandering what she thinks about. 546 00:31:46,000 --> 00:31:46,960 Speaker 4: It give a, listen. 547 00:31:46,920 --> 00:31:51,040 Speaker 1: Because republicans have to depend on redistricting and stealing votes 548 00:31:51,080 --> 00:31:53,760 Speaker 1: and taking seats like they did In North carolina in 549 00:31:53,960 --> 00:31:57,840 Speaker 1: order to actually be able to win. Elections so, well 550 00:31:58,000 --> 00:31:59,880 Speaker 1: we're just going to steal them right, back by golly. 551 00:32:00,120 --> 00:32:02,520 Speaker 1: Right there's your liberal logic one on, one. 552 00:32:02,160 --> 00:32:06,000 Speaker 2: But it is also the degree it is far more. 553 00:32:06,040 --> 00:32:09,520 Speaker 2: Brazen AS i, Mentioned, texas fifty six percent of the 554 00:32:09,520 --> 00:32:10,520 Speaker 2: state voted For Donald. 555 00:32:10,520 --> 00:32:12,120 Speaker 4: Trump the new. 556 00:32:12,160 --> 00:32:15,240 Speaker 2: Map If republicans win in the seats that were, drawn 557 00:32:15,480 --> 00:32:17,880 Speaker 2: the new map will produce seventy nine percent of the 558 00:32:17,880 --> 00:32:23,200 Speaker 2: congressional delegation to Be. Republican that is a difference of 559 00:32:23,720 --> 00:32:26,440 Speaker 2: twenty three. Percent so that's an additional twenty three. Percent 560 00:32:26,880 --> 00:32:30,000 Speaker 2: what Did virginia. Do they went from fifty two percent 561 00:32:30,080 --> 00:32:35,600 Speaker 2: voting For Kamala harris to getting ninety one. Percent that 562 00:32:35,760 --> 00:32:39,520 Speaker 2: is thirty nine points. Higher that is a massive and 563 00:32:39,560 --> 00:32:42,200 Speaker 2: it's a grotesque gary. Matter and by the, Way i'm 564 00:32:42,280 --> 00:32:44,600 Speaker 2: quite confident if they could have drawn at eleven zero 565 00:32:44,640 --> 00:32:49,480 Speaker 2: they would. Have you know that there are five districts 566 00:32:49,520 --> 00:32:53,320 Speaker 2: that slice through Northern virginia to get all the liberals 567 00:32:53,320 --> 00:32:56,120 Speaker 2: that work in the federal, government and they basically like 568 00:32:56,200 --> 00:32:58,640 Speaker 2: take a slice of liberals from Northern virginia and then 569 00:32:58,680 --> 00:33:02,360 Speaker 2: stick it with Rural virginia is to rob the votes 570 00:33:02,400 --> 00:33:05,000 Speaker 2: of the rest of the state that is. 571 00:33:05,040 --> 00:33:08,160 Speaker 3: Rendered, yeah and this is going to be their game 572 00:33:08,160 --> 00:33:08,720 Speaker 3: plan moving. 573 00:33:08,760 --> 00:33:11,560 Speaker 1: Forward it's state after state after state, now all because 574 00:33:11,560 --> 00:33:13,880 Speaker 1: they say they're doing it in reaction To. Texas, no 575 00:33:14,040 --> 00:33:16,400 Speaker 1: they've been doing it for a very long time. Now 576 00:33:16,400 --> 00:33:18,479 Speaker 1: they're just telling you we're doing it on. Purpose at 577 00:33:18,520 --> 00:33:20,320 Speaker 1: least they're being honest about. IT i got to give them. 578 00:33:20,320 --> 00:33:20,920 Speaker 3: That don't. 579 00:33:20,960 --> 00:33:23,080 Speaker 1: Forget we do the Show, Monday, wednesday And, friday so 580 00:33:23,160 --> 00:33:26,960 Speaker 1: make sure you hit that subscriber auto download button wherever 581 00:33:27,080 --> 00:33:30,280 Speaker 1: you get your. Podcasts you can also watch this episode on, 582 00:33:30,360 --> 00:33:32,200 Speaker 1: YouTube so follow us on YouTube. 583 00:33:31,880 --> 00:33:32,880 Speaker 3: And hit that subscribe button. 584 00:33:32,880 --> 00:33:35,120 Speaker 1: There don't, worry it doesn't cost you a dime anywhere 585 00:33:35,120 --> 00:33:37,240 Speaker 1: to listen or watch this show and The. CENTER i 586 00:33:37,280 --> 00:33:38,760 Speaker 1: will see you back here On wednesday. 587 00:33:38,800 --> 00:33:39,080 Speaker 3: Morning