1 00:00:05,200 --> 00:00:10,760 Speaker 1: Lie from dall Hertbeiner and the Crossroads of America. It's 2 00:00:10,840 --> 00:00:18,520 Speaker 1: Tony Katz today. So now we know what we already knew. 3 00:00:20,239 --> 00:00:24,360 Speaker 1: There is no bigger low life than Anthony Fauci. And 4 00:00:24,400 --> 00:00:31,120 Speaker 1: that's saying something because we've got some we got some 5 00:00:31,120 --> 00:00:36,239 Speaker 1: real terrible people out there. But who else let Grandpa 6 00:00:36,360 --> 00:00:40,040 Speaker 1: die alone? Tony Katz. Tony Katz today an absolute pleasure. 7 00:00:40,120 --> 00:00:46,600 Speaker 1: Somebody had posted a photo and I can find it. 8 00:00:46,640 --> 00:00:51,800 Speaker 1: I'll share it where it was here, it is here. 9 00:00:51,880 --> 00:00:56,720 Speaker 1: I had never seen this before. This was in a 10 00:00:57,200 --> 00:01:03,160 Speaker 1: window from a hospital and it's hospital workers dressed up 11 00:01:03,280 --> 00:01:06,560 Speaker 1: in the gear right, the protective gear, and they got 12 00:01:06,560 --> 00:01:07,959 Speaker 1: the mask. They've got the mask on, and then they've 13 00:01:08,000 --> 00:01:10,080 Speaker 1: got the shield on, and then they're in. They're they're 14 00:01:10,240 --> 00:01:17,920 Speaker 1: draped and then they're in in gloves. And on the 15 00:01:17,959 --> 00:01:20,440 Speaker 1: window they have two signs and it says he is 16 00:01:20,480 --> 00:01:25,000 Speaker 1: at peace and we are so sorry. So the family 17 00:01:25,040 --> 00:01:27,840 Speaker 1: couldn't be there at the end for Grandpa or Dad 18 00:01:27,920 --> 00:01:33,560 Speaker 1: or mom, whoever it was. They couldn't be there. You 19 00:01:33,600 --> 00:01:36,399 Speaker 1: couldn't be there for your loved one. And so this 20 00:01:36,520 --> 00:01:39,800 Speaker 1: is how they were laid messages. I had never seen 21 00:01:39,880 --> 00:01:40,560 Speaker 1: that before. 22 00:01:41,319 --> 00:01:43,800 Speaker 2: For that alone. 23 00:01:44,000 --> 00:01:46,200 Speaker 1: There is nothing you could do to Anthony Fauci that 24 00:01:46,240 --> 00:01:51,360 Speaker 1: I would think it's too much. He deserves every part 25 00:01:51,960 --> 00:01:56,000 Speaker 1: of the hate. Tony Katz. Tony Kats today an absolute pleasure. 26 00:01:56,000 --> 00:01:58,480 Speaker 1: I think I already said hello, Sometimes I forget. The 27 00:01:58,560 --> 00:02:04,160 Speaker 1: people who deserve an equal abundance of disgust are those 28 00:02:04,200 --> 00:02:09,520 Speaker 1: in the media who acted like nothing was wrong. We 29 00:02:09,639 --> 00:02:14,000 Speaker 1: should really look at the total lack of journalism, the 30 00:02:14,080 --> 00:02:17,720 Speaker 1: lack of journalism during COVID, the lack of journalism during Biden. 31 00:02:19,639 --> 00:02:22,959 Speaker 1: Exactly how much bad journalism non journalism is going to 32 00:02:23,000 --> 00:02:26,200 Speaker 1: take place until we realize that none of these people 33 00:02:26,200 --> 00:02:33,239 Speaker 1: can be trusted. On CNN yesterday, one of the participants 34 00:02:33,280 --> 00:02:36,360 Speaker 1: there in Abby Phillips show brought up. 35 00:02:37,720 --> 00:02:40,520 Speaker 2: Anthony Fauci and Abby Philip. 36 00:02:40,160 --> 00:02:42,880 Speaker 1: And the two Democrats on the padel like, oh, we're 37 00:02:42,880 --> 00:02:47,680 Speaker 1: not talking Oh my gosh, oh how dare you? They 38 00:02:47,720 --> 00:02:51,360 Speaker 1: moved right by it. Nope, we're not talking about that. 39 00:02:52,000 --> 00:02:58,440 Speaker 1: Well we are because CNN and MSNBC are freaking guilty. 40 00:02:59,160 --> 00:03:04,760 Speaker 1: Now they're not guilty of saying here's what the experts 41 00:03:04,800 --> 00:03:06,680 Speaker 1: are saying. You know, the same people that Trump had 42 00:03:06,800 --> 00:03:11,680 Speaker 1: up on the stage. They're not guilty of that. They're 43 00:03:11,720 --> 00:03:17,399 Speaker 1: guilty of not saying, hey, the data is not comporting 44 00:03:17,440 --> 00:03:21,120 Speaker 1: with some of these other stories. So to take a 45 00:03:21,160 --> 00:03:24,840 Speaker 1: walk back in time, I'll take it from my point 46 00:03:24,880 --> 00:03:25,240 Speaker 1: of view. 47 00:03:25,919 --> 00:03:30,320 Speaker 2: I was doing the show from my home. Right. I 48 00:03:30,400 --> 00:03:32,720 Speaker 2: had gone to Seapack. 49 00:03:32,360 --> 00:03:36,960 Speaker 1: The Conservative Political Action Conference in DC, Trump as President 50 00:03:37,240 --> 00:03:38,640 Speaker 1: Mike Pence's vice president. 51 00:03:39,720 --> 00:03:40,760 Speaker 2: One person we. 52 00:03:40,720 --> 00:03:43,720 Speaker 1: Had gotten back, one person had COVID and my station 53 00:03:43,880 --> 00:03:44,320 Speaker 1: said not. 54 00:03:44,440 --> 00:03:46,680 Speaker 2: And people didn't know anything. There was a lot of concern, 55 00:03:46,720 --> 00:03:47,360 Speaker 2: a lot of fear. 56 00:03:48,440 --> 00:03:50,520 Speaker 1: Remember the moment in time, Try not to get too 57 00:03:50,560 --> 00:03:54,600 Speaker 1: angry about it. And they said, hey, why don't you 58 00:03:54,640 --> 00:03:56,080 Speaker 1: do the show from home this week? 59 00:03:56,800 --> 00:03:57,000 Speaker 2: Now? 60 00:03:57,080 --> 00:04:00,880 Speaker 1: That was in well, I don't know those February March 61 00:04:00,920 --> 00:04:03,640 Speaker 1: of twenty twenty. All I know is I never went 62 00:04:03,640 --> 00:04:05,920 Speaker 1: back to the station. I've been doing the show from 63 00:04:05,920 --> 00:04:10,280 Speaker 1: home ever since, and for me, greatest thing in the world. 64 00:04:10,440 --> 00:04:14,880 Speaker 1: Oh a pleasure, A pleasure because when I work from home, 65 00:04:14,920 --> 00:04:17,640 Speaker 1: everybody knows if I'm working or not. Right, it's by 66 00:04:17,720 --> 00:04:21,080 Speaker 1: now I'm either talking or I'm not. And yes, I'm 67 00:04:21,080 --> 00:04:25,559 Speaker 1: wearing pants. Always wear pants. I don't understand these people 68 00:04:25,720 --> 00:04:27,360 Speaker 1: who do radio or TV and. 69 00:04:27,320 --> 00:04:28,200 Speaker 2: They don't wear pants. 70 00:04:28,200 --> 00:04:31,559 Speaker 1: And they don't get dr I don't understand how don't 71 00:04:31,600 --> 00:04:33,839 Speaker 1: ask me about the tube and I can't figure that 72 00:04:33,880 --> 00:04:40,920 Speaker 1: one out at all. One person had COVID and everybody 73 00:04:40,960 --> 00:04:44,440 Speaker 1: lost their minds for a little bit. And certainly when 74 00:04:44,480 --> 00:04:47,800 Speaker 1: there was the conversation you'll remember well of fifteen days 75 00:04:47,839 --> 00:04:52,560 Speaker 1: to stop the spread. It was really in our conversations, 76 00:04:52,960 --> 00:04:57,039 Speaker 1: I remember them clearly, fifteen days to flatten the curve. 77 00:04:58,040 --> 00:05:04,640 Speaker 1: The conversation had been about we are overwhelming the hospitals. 78 00:05:05,160 --> 00:05:09,520 Speaker 1: They can't keep up and there was a serious issue. 79 00:05:09,800 --> 00:05:12,800 Speaker 1: So how could we flatten the curve this risingly manific 80 00:05:12,800 --> 00:05:16,320 Speaker 1: cases in COVID? Could everybody just rein it in for 81 00:05:16,360 --> 00:05:16,920 Speaker 1: two weeks? 82 00:05:17,760 --> 00:05:18,080 Speaker 2: Now? 83 00:05:19,200 --> 00:05:22,599 Speaker 1: I don't believe that government ever has the right to 84 00:05:22,680 --> 00:05:25,040 Speaker 1: keep you in your home. We're searching for somebody in 85 00:05:25,040 --> 00:05:26,640 Speaker 1: the neighborhood. You have to stay indoors. 86 00:05:26,760 --> 00:05:28,960 Speaker 2: I could go anywhere I want. Screw you. 87 00:05:28,960 --> 00:05:33,000 Speaker 1: You know those people in Minnesota law enforcement, You were 88 00:05:33,000 --> 00:05:34,880 Speaker 1: standing on your porch and they said it's COVID, you 89 00:05:34,920 --> 00:05:36,200 Speaker 1: have to be inside, and they were like, I don't 90 00:05:36,200 --> 00:05:38,560 Speaker 1: have to be inside. So they shot like beanbags and 91 00:05:38,600 --> 00:05:42,520 Speaker 1: other things out these citizens. Every one of those cops, 92 00:05:43,800 --> 00:05:48,919 Speaker 1: every one of those cops should be in jail today. 93 00:05:49,640 --> 00:05:55,040 Speaker 1: To hell with all of them. But at least first 94 00:05:55,040 --> 00:05:57,040 Speaker 1: they had sold the story. They explained to America what 95 00:05:57,080 --> 00:06:00,640 Speaker 1: they were trying to do. I could accept the idea 96 00:06:01,400 --> 00:06:04,440 Speaker 1: that we could all engage this together and all help 97 00:06:04,520 --> 00:06:05,200 Speaker 1: out together. 98 00:06:06,440 --> 00:06:08,560 Speaker 2: Well, of course that didn't do anything. 99 00:06:09,680 --> 00:06:11,839 Speaker 1: Okay, I can accept the fact that you tried something. 100 00:06:11,880 --> 00:06:14,039 Speaker 1: It didn't work. People didn't know what we were dealing with. 101 00:06:15,520 --> 00:06:17,000 Speaker 1: The problem is we. 102 00:06:16,920 --> 00:06:22,359 Speaker 2: Saw data happening while we were told something else. 103 00:06:24,240 --> 00:06:28,520 Speaker 1: I can remember about two months in, I turned to 104 00:06:28,640 --> 00:06:34,320 Speaker 1: my program director for my morning station. Yes that was 105 00:06:34,320 --> 00:06:40,320 Speaker 1: Tim Wallas's Minnesota, that's correct, that shot at people saying you. 106 00:06:40,279 --> 00:06:41,159 Speaker 2: Have to get in your house. 107 00:06:41,640 --> 00:06:43,200 Speaker 1: I went to my program director, I went to my 108 00:06:43,240 --> 00:06:46,200 Speaker 1: executive producer, and I said, these are the numbers that 109 00:06:46,240 --> 00:06:48,679 Speaker 1: they keep telling me, that they keep pushing these numbers. 110 00:06:48,839 --> 00:06:51,000 Speaker 1: The numbers are infected, the number of debt, number infected, 111 00:06:51,080 --> 00:06:56,240 Speaker 1: number of debt. These numbers are not accurate. This is 112 00:06:56,279 --> 00:07:01,880 Speaker 1: about two months. Two months in, and you started realizing 113 00:07:02,120 --> 00:07:06,960 Speaker 1: that they were putting everything, every death, everywhere to COVID. 114 00:07:07,680 --> 00:07:11,680 Speaker 2: You remember this, You lived through this. A lot of people. 115 00:07:11,760 --> 00:07:14,000 Speaker 2: They never once said they're applying it. 116 00:07:14,040 --> 00:07:16,240 Speaker 1: They're attributing it to COVID, but they're not answering the 117 00:07:16,360 --> 00:07:24,720 Speaker 1: question about other things. Did they already have some other 118 00:07:24,960 --> 00:07:33,000 Speaker 1: issue that COVID exacerbated. When we talk about George Floyd, 119 00:07:34,840 --> 00:07:36,760 Speaker 1: it was not the knee on the neck that killed 120 00:07:36,800 --> 00:07:38,680 Speaker 1: George Floyd. Although I don't approve of the knee on 121 00:07:38,720 --> 00:07:40,440 Speaker 1: the neck, I don't approve of any of the tactics 122 00:07:40,440 --> 00:07:43,800 Speaker 1: that the police took that day. George Floyd died because 123 00:07:43,880 --> 00:07:48,080 Speaker 1: George Floyd was a drug user, and George Floyd killed himself. 124 00:07:51,440 --> 00:07:55,400 Speaker 1: A lot of these people had a underlying health condition 125 00:07:55,520 --> 00:07:57,440 Speaker 1: or a prominent health condition. 126 00:07:57,520 --> 00:08:01,760 Speaker 2: And COVID put them over. So we take a look 127 00:08:01,760 --> 00:08:03,320 Speaker 2: at these numbers. 128 00:08:03,000 --> 00:08:07,000 Speaker 1: It's not COVID killing people. It's what they already had 129 00:08:07,480 --> 00:08:10,960 Speaker 1: and COVID speeding. 130 00:08:10,560 --> 00:08:14,679 Speaker 3: It along adding to it. It was just the wrong 131 00:08:14,720 --> 00:08:15,840 Speaker 3: way to approach the numbers. 132 00:08:15,840 --> 00:08:17,880 Speaker 1: That it was easy to see, at least from our view, 133 00:08:18,040 --> 00:08:21,600 Speaker 1: that people were engaging in the fear mongerant And for 134 00:08:21,720 --> 00:08:24,160 Speaker 1: me on a personal level, the thing that became so 135 00:08:24,280 --> 00:08:27,840 Speaker 1: disgusting was that here is something that we all are 136 00:08:27,880 --> 00:08:31,000 Speaker 1: dealing with we can all fix, like, we can get 137 00:08:31,000 --> 00:08:33,960 Speaker 1: through this together, and people decided let's make it political. 138 00:08:35,559 --> 00:08:38,760 Speaker 1: I said, this is the greatest scumbaggery in the world. 139 00:08:39,360 --> 00:08:44,400 Speaker 1: This is just gross and obscene. Then there were those 140 00:08:44,440 --> 00:08:46,800 Speaker 1: of us who said, listen, I don't care how quickly 141 00:08:46,840 --> 00:08:51,520 Speaker 1: you put together a vaccine. I'm not taking that. And 142 00:08:51,559 --> 00:08:56,520 Speaker 1: that's when we started hearing the real blatant lies. We 143 00:08:56,720 --> 00:09:01,240 Speaker 1: heard them because we shared everything. If there was ever 144 00:09:01,280 --> 00:09:07,320 Speaker 1: a moment that really delineated conservative radio and conservative talk 145 00:09:07,720 --> 00:09:11,920 Speaker 1: and conservative thought from the progressives on TV and cable. 146 00:09:11,600 --> 00:09:14,320 Speaker 2: News, it was that we knew. 147 00:09:15,600 --> 00:09:18,720 Speaker 1: That even if you took the vaccine, you could still 148 00:09:18,760 --> 00:09:19,880 Speaker 1: spread COVID. 149 00:09:21,000 --> 00:09:22,800 Speaker 2: And these people who said that. 150 00:09:22,800 --> 00:09:24,800 Speaker 1: If you didn't get vaccinated you were going to kill 151 00:09:24,840 --> 00:09:30,600 Speaker 1: their grandmother were liars. We saw it clearly, we saw 152 00:09:30,600 --> 00:09:32,640 Speaker 1: it easily, and we said we're gonna have no part 153 00:09:32,679 --> 00:09:36,480 Speaker 1: of this. And they tried to attack us and rip 154 00:09:36,559 --> 00:09:39,800 Speaker 1: us apart for it. And then, of course the thing 155 00:09:39,800 --> 00:09:41,400 Speaker 1: that was as egregious as. 156 00:09:41,320 --> 00:09:42,280 Speaker 2: Anything else out there. 157 00:09:43,679 --> 00:09:50,600 Speaker 1: People went to church, and cities and municipalities went to 158 00:09:50,600 --> 00:09:53,320 Speaker 1: those churches and wrote down license plate numbers of those 159 00:09:53,360 --> 00:09:56,600 Speaker 1: who went to church. Any cop who wrote down a 160 00:09:56,600 --> 00:09:59,080 Speaker 1: license plate numbers should be thrown off the force, lose 161 00:09:59,120 --> 00:10:01,520 Speaker 1: your pension. You don't want to hear a story. Don't 162 00:10:01,559 --> 00:10:04,640 Speaker 1: give a damn. Oh, I was just doing my job. 163 00:10:05,000 --> 00:10:07,480 Speaker 1: You could do the job somewhere else because you have 164 00:10:07,720 --> 00:10:11,080 Speaker 1: no capacity to be a part of the public trust 165 00:10:11,640 --> 00:10:12,480 Speaker 1: zero kitten. 166 00:10:16,840 --> 00:10:23,320 Speaker 2: We early saw the lies, and what we saw. 167 00:10:23,200 --> 00:10:27,520 Speaker 1: Was this conversation isn't matching up with these numbers. And 168 00:10:27,559 --> 00:10:29,880 Speaker 1: then we saw how people who wanted to have a 169 00:10:29,920 --> 00:10:33,520 Speaker 1: conversation were not allowed to have a conversation. 170 00:10:33,600 --> 00:10:36,640 Speaker 2: And we knew. We knew, no. 171 00:10:36,520 --> 00:10:38,880 Speaker 3: Matter where we were on vaccines or this or that 172 00:10:39,000 --> 00:10:41,520 Speaker 3: or the other, we knew the minute you saw people 173 00:10:41,559 --> 00:10:44,160 Speaker 3: not able to have a conversation, we knew that there 174 00:10:44,160 --> 00:10:48,520 Speaker 3: were those people trying to stifle conversation, trying to prevent conversation, 175 00:10:48,840 --> 00:10:54,000 Speaker 3: to keep you, me and we from having data. 176 00:10:55,760 --> 00:11:01,920 Speaker 2: That's when it all blew up. That's when we realized. 177 00:11:03,040 --> 00:11:06,520 Speaker 1: That the people telling us to trust the science, believe 178 00:11:06,559 --> 00:11:11,440 Speaker 1: in the science, rely on the science, they were lying 179 00:11:12,640 --> 00:11:13,480 Speaker 1: because they didn't. 180 00:11:13,320 --> 00:11:14,000 Speaker 2: Have the science. 181 00:11:15,720 --> 00:11:20,480 Speaker 1: And everything that has been released by Senator Rand Paul. 182 00:11:22,520 --> 00:11:24,840 Speaker 1: You know who should be a Time Magazine's Man of 183 00:11:24,840 --> 00:11:29,360 Speaker 1: the Year, Senator Ran Paul for putting his teeth directly 184 00:11:29,440 --> 00:11:38,160 Speaker 1: into Anthony Fauci and never letting go. Yo, a mask 185 00:11:38,200 --> 00:11:41,000 Speaker 1: won't help you. Oh no, wait, a mask is exactly 186 00:11:41,000 --> 00:11:46,600 Speaker 1: what you need. Oh, this came from a wet market. Well, no, 187 00:11:46,720 --> 00:11:49,560 Speaker 1: it probably didn't come from a wet market when they 188 00:11:49,640 --> 00:11:52,679 Speaker 1: knew back in January of twenty twenty, it didn't come 189 00:11:52,720 --> 00:11:59,520 Speaker 1: from a wet market. And Tom Elliott over there Grabian, 190 00:12:00,000 --> 00:12:03,000 Speaker 1: which is a source I use for a lot of audio. 191 00:12:04,920 --> 00:12:10,520 Speaker 1: He put together this doozy of Fauci and the press. 192 00:12:10,760 --> 00:12:15,000 Speaker 4: But they're really criticizing science because I represent science. 193 00:12:15,960 --> 00:12:18,880 Speaker 1: If you're vaccinated, you really don't need to worry about 194 00:12:20,080 --> 00:12:22,920 Speaker 1: getting it in a way that's serious or transmitting it. 195 00:12:24,880 --> 00:12:26,920 Speaker 2: That is true. That is correct, Chris. 196 00:12:27,000 --> 00:12:30,640 Speaker 4: It'll lead to protect you completely against infection, and the 197 00:12:30,720 --> 00:12:32,960 Speaker 4: chances are very likely that you'll not be able to 198 00:12:33,000 --> 00:12:36,839 Speaker 4: transmit it to other people. The risk is extremely low 199 00:12:37,040 --> 00:12:41,480 Speaker 4: of transmitting it to anybody else. Full stocksinated people are 200 00:12:41,559 --> 00:12:48,760 Speaker 4: clearly capable of transmitting the infection. When you're in the 201 00:12:48,800 --> 00:12:52,040 Speaker 4: middle of an outbreak, wearing a mask might. 202 00:12:51,920 --> 00:12:54,360 Speaker 2: Make people feel a little bit better. 203 00:12:54,559 --> 00:12:57,280 Speaker 4: If people are not wearing masks, then maybe we should 204 00:12:57,320 --> 00:12:58,120 Speaker 4: be mandating it. 205 00:12:58,280 --> 00:13:01,240 Speaker 2: I often myself wear two men and I'm quoting you. 206 00:13:01,760 --> 00:13:06,400 Speaker 1: That was Fauci over a timeline, no mask to absolutely 207 00:13:06,400 --> 00:13:07,199 Speaker 1: wear a mask, to wear. 208 00:13:07,240 --> 00:13:07,840 Speaker 2: I wear two. 209 00:13:07,840 --> 00:13:14,160 Speaker 1: Masks all the while, by the way, loving how much 210 00:13:14,200 --> 00:13:18,800 Speaker 1: TV he was on, loving being in the spotlight, writing 211 00:13:18,800 --> 00:13:20,880 Speaker 1: about how other people were upset that he was getting 212 00:13:20,920 --> 00:13:25,920 Speaker 1: so much attention, and while he was quite literally houring 213 00:13:26,000 --> 00:13:29,880 Speaker 1: himself out because he wanted to be popular and loved 214 00:13:30,840 --> 00:13:32,280 Speaker 1: Grandma died alone. 215 00:13:32,480 --> 00:13:36,160 Speaker 5: Now, at the population level, masks work at the margins, 216 00:13:36,600 --> 00:13:39,640 Speaker 5: maybe ten percent. To hear that they only work at 217 00:13:39,640 --> 00:13:41,760 Speaker 5: the margins, maybe ten percent would make a lot of 218 00:13:41,760 --> 00:13:43,680 Speaker 5: people ask, then why was I wearing a mask? 219 00:13:43,880 --> 00:13:47,000 Speaker 4: You're really attacking not only doctor Anthony Fauci, you were 220 00:13:47,040 --> 00:13:50,000 Speaker 4: attacking science when you say that this is going to 221 00:13:50,080 --> 00:13:52,840 Speaker 4: go way tomorrow like magic, when you know that there's 222 00:13:52,880 --> 00:13:54,720 Speaker 4: no chance it's going to just disappear. 223 00:13:54,840 --> 00:13:58,000 Speaker 2: We hope this just goes away, burns itself out. 224 00:14:00,040 --> 00:14:01,719 Speaker 6: So my question is why weren't you straight with the 225 00:14:01,760 --> 00:14:03,800 Speaker 6: American people about this to begin with? 226 00:14:04,320 --> 00:14:07,320 Speaker 2: So the bottom line is it's a guesstimate. I gave 227 00:14:07,400 --> 00:14:07,959 Speaker 2: a range. 228 00:14:08,400 --> 00:14:10,679 Speaker 6: It seemed in that quote to suggest that you were 229 00:14:10,720 --> 00:14:15,200 Speaker 6: basing your recommendation on pulling on what people could accept 230 00:14:15,280 --> 00:14:17,679 Speaker 6: Is that not what you meant? 231 00:14:18,200 --> 00:14:20,880 Speaker 2: No, I mean it's a bit of that. We're seeing 232 00:14:20,920 --> 00:14:21,240 Speaker 2: all of you. 233 00:14:22,440 --> 00:14:26,080 Speaker 1: And then, of course, on the closing of schools, he 234 00:14:26,200 --> 00:14:29,960 Speaker 1: made the claim that he never suggested closing schools. 235 00:14:29,760 --> 00:14:33,120 Speaker 2: But we have his diary entries where. 236 00:14:32,880 --> 00:14:35,280 Speaker 1: He spoke to build A Blasio, the New York mayor, 237 00:14:35,320 --> 00:14:38,040 Speaker 1: about closing schools, and build a Blasio said, I'll follow 238 00:14:38,040 --> 00:14:40,720 Speaker 1: your recommendations, and he recommended to the chief of staff 239 00:14:40,720 --> 00:14:44,040 Speaker 1: of Governor Gavin Newsom California that they closed the schools. 240 00:14:46,400 --> 00:14:50,960 Speaker 1: We saw the lies, and now we know that they 241 00:14:50,960 --> 00:14:55,480 Speaker 1: were lies because we have the information. Yet media never 242 00:14:55,680 --> 00:15:01,960 Speaker 1: questioned a damn thing. CNN AN, MSNBC NOW, ms NOW 243 00:15:02,160 --> 00:15:05,880 Speaker 1: and the New York Times and the Washington Posts and 244 00:15:05,920 --> 00:15:06,600 Speaker 1: all the rest. 245 00:15:07,280 --> 00:15:10,080 Speaker 2: Oh, they couldn't question. Twitter wouldn't let you question. 246 00:15:10,160 --> 00:15:13,800 Speaker 1: Remember that's why we have Elon Musk owning Twitter now 247 00:15:14,080 --> 00:15:15,960 Speaker 1: X because Twitter. 248 00:15:15,680 --> 00:15:16,760 Speaker 2: Wouldn't let you talk. 249 00:15:19,280 --> 00:15:25,040 Speaker 1: The media, like the science demands our fealty, but they 250 00:15:25,040 --> 00:15:25,960 Speaker 1: don't do any work. 251 00:15:28,520 --> 00:15:31,160 Speaker 2: They're not journalists. You know. 252 00:15:31,240 --> 00:15:35,080 Speaker 1: The journalists were you and I because we were noticing 253 00:15:35,360 --> 00:15:37,720 Speaker 1: that the figures that were being put out was not 254 00:15:37,960 --> 00:15:39,680 Speaker 1: matching reality. 255 00:15:39,200 --> 00:15:40,240 Speaker 2: Told on the ground. 256 00:15:42,160 --> 00:15:44,680 Speaker 3: We saw that there was a disconnected and we asked 257 00:15:44,720 --> 00:15:47,200 Speaker 3: what is this all about? And people wanted to talk 258 00:15:47,240 --> 00:15:49,920 Speaker 3: about the disconnect and they were told they couldn't announce 259 00:15:49,960 --> 00:15:50,240 Speaker 3: when we. 260 00:15:50,280 --> 00:15:53,000 Speaker 1: Knew that this was a fix, that this was a 261 00:15:53,040 --> 00:15:57,800 Speaker 1: con not the idea of COVID, not the idea that 262 00:15:57,840 --> 00:16:00,480 Speaker 1: people didn't die from COVID, not the idea that there 263 00:16:00,480 --> 00:16:05,280 Speaker 1: weren't complications. But this whole weird should lockdown society was 264 00:16:05,320 --> 00:16:12,760 Speaker 1: a fraud. Well, Anthony Fauci led the fraud, and the 265 00:16:12,840 --> 00:16:18,880 Speaker 1: media they followed. They didn't journalism, they didn't ask questions, 266 00:16:19,000 --> 00:16:22,560 Speaker 1: they didn't look anywhere. They just said whatever we have 267 00:16:22,680 --> 00:16:25,720 Speaker 1: to say, and then they had dinner with the fraudsters. 268 00:16:27,600 --> 00:16:31,400 Speaker 1: You cannot hate the media enough. And if you want 269 00:16:31,440 --> 00:16:34,400 Speaker 1: to punish them, you only do it in two ways. 270 00:16:35,640 --> 00:16:37,880 Speaker 1: Stop watching and stop buying from their sponsors. 271 00:16:37,920 --> 00:16:38,960 Speaker 2: And you do it now. 272 00:16:40,400 --> 00:16:46,920 Speaker 1: Sorry, CNN sponsors, you're not good enough. Can't have you. You 273 00:16:46,160 --> 00:16:49,560 Speaker 1: can't support this stuff anymore. Can't support the MS now 274 00:16:49,640 --> 00:16:55,240 Speaker 1: sponsor no, no, no, no no. It's the only two 275 00:16:55,280 --> 00:16:58,360 Speaker 1: ways to handle this. It's the only way they're gonna learn. 276 00:16:59,160 --> 00:17:02,040 Speaker 1: Keep it here. It's Tony Kats today. So in newly 277 00:17:02,280 --> 00:17:09,919 Speaker 1: uncovered Biden White House memo showed that they wanted to 278 00:17:10,000 --> 00:17:15,679 Speaker 1: expand temporary protected status to another three million non citizens 279 00:17:18,320 --> 00:17:23,000 Speaker 1: right TPS Temporary protected status. You've got some disaster or 280 00:17:23,080 --> 00:17:25,600 Speaker 1: some political disaster in your country, you can get protection 281 00:17:25,680 --> 00:17:28,040 Speaker 1: here and stay here for a while. Me I'm Tony Katz. 282 00:17:28,440 --> 00:17:33,040 Speaker 1: The show is Tony Katz today. And Haitians got this. 283 00:17:33,359 --> 00:17:38,520 Speaker 1: And we noticed this going to visit Springfield, Ohio. 284 00:17:38,600 --> 00:17:40,520 Speaker 2: Remember they're eating the dogs, they're eating the cats. 285 00:17:40,880 --> 00:17:42,679 Speaker 1: That was not happening according to the people, but they 286 00:17:42,680 --> 00:17:45,159 Speaker 1: were eating the geese and they could not drive, and 287 00:17:45,200 --> 00:17:46,679 Speaker 1: it created a massive housing issue. 288 00:17:46,880 --> 00:17:52,160 Speaker 2: Lots of things did happen. And what we saw was. 289 00:17:51,720 --> 00:17:53,720 Speaker 1: Was the amount of people who were so thrilled with 290 00:17:53,760 --> 00:17:56,200 Speaker 1: the Haitian population because they're working in the factories and 291 00:17:56,240 --> 00:17:58,919 Speaker 1: this and that, and the factory owners love them. And 292 00:17:58,960 --> 00:18:01,720 Speaker 1: we asked, we've got the video to prove it. 293 00:18:01,760 --> 00:18:03,400 Speaker 2: Is this some kind of. 294 00:18:05,280 --> 00:18:07,119 Speaker 1: Is this some kind of jobs program that we're now 295 00:18:07,119 --> 00:18:07,640 Speaker 1: creating here? 296 00:18:07,720 --> 00:18:11,240 Speaker 2: Is that what this is? I didn't know we were 297 00:18:11,240 --> 00:18:11,800 Speaker 2: going to be right. 298 00:18:13,640 --> 00:18:16,680 Speaker 1: We had no idea myself and fingers the lawya does eat, drink, 299 00:18:16,680 --> 00:18:17,240 Speaker 1: smoke with me? 300 00:18:17,720 --> 00:18:19,880 Speaker 2: And we went we checked out. I was like this 301 00:18:19,920 --> 00:18:20,600 Speaker 2: whole love. 302 00:18:20,520 --> 00:18:23,719 Speaker 1: Affair right, because it really were very few people who 303 00:18:23,760 --> 00:18:25,720 Speaker 1: were like angry angry. They're more angry at the city 304 00:18:25,760 --> 00:18:28,640 Speaker 1: and the state and the Feds for not helping them 305 00:18:28,640 --> 00:18:29,600 Speaker 1: prepare for all of this. 306 00:18:30,040 --> 00:18:34,000 Speaker 2: They weren't necessarily mad at these people. But every time 307 00:18:34,040 --> 00:18:34,640 Speaker 2: you talked. 308 00:18:34,400 --> 00:18:36,560 Speaker 3: About the factories, Oh, the factory workers love them all, 309 00:18:36,640 --> 00:18:37,760 Speaker 3: the factory owners love mall. 310 00:18:37,840 --> 00:18:41,360 Speaker 2: It's so great for the factories. Is this a jobs program? 311 00:18:41,359 --> 00:18:43,520 Speaker 2: We would ask, and people be like, oh, I don't know. 312 00:18:43,640 --> 00:18:47,159 Speaker 1: But Fingers and I were like, this is this is 313 00:18:47,200 --> 00:18:48,159 Speaker 1: exactly what it looks like. 314 00:18:48,200 --> 00:18:49,160 Speaker 2: We didn't know. We were right. 315 00:18:51,840 --> 00:18:56,000 Speaker 1: Temporary Protected Status was a jobs program. And the Biden 316 00:18:56,000 --> 00:18:59,119 Speaker 1: administration to the very end, remember wasn't Joe Biden. Biden 317 00:18:59,160 --> 00:19:02,680 Speaker 1: wasn't running the country. They wanted to use TPS as 318 00:19:02,680 --> 00:19:05,080 Speaker 1: a way of bringing more people legally into the country 319 00:19:05,080 --> 00:19:07,920 Speaker 1: to do more damage to Donald Trump, anything to hurt him. 320 00:19:08,040 --> 00:19:09,880 Speaker 1: They didn't care if they hurt the country as long 321 00:19:09,920 --> 00:19:13,359 Speaker 1: as they hurt Trump. They did not care. They never cared. 322 00:19:18,320 --> 00:19:24,320 Speaker 1: That's them. That's today's left. What they say is not 323 00:19:24,359 --> 00:19:26,120 Speaker 1: what they do, and not what they do is not 324 00:19:26,160 --> 00:19:31,280 Speaker 1: what they're actually talking about trust. That's a tough one, 325 00:19:31,359 --> 00:19:33,359 Speaker 1: right there. We've got three more things coming up, and 326 00:19:33,440 --> 00:19:39,560 Speaker 1: keep it here. It's Tony Katz today. Three more things, 327 00:19:39,720 --> 00:19:43,160 Speaker 1: Tony Katz, Tony Katz today. 328 00:19:43,200 --> 00:19:45,280 Speaker 2: Good to be here, Good to be with you. 329 00:19:45,440 --> 00:19:48,800 Speaker 1: Find everything I do over at Tony Katz dot com. 330 00:19:48,840 --> 00:19:50,440 Speaker 2: T O N y k A t Z. 331 00:19:50,600 --> 00:19:53,200 Speaker 1: That's how you spelling him in case you were curious, 332 00:19:53,440 --> 00:19:54,400 Speaker 1: Tony kats dot com. 333 00:19:54,400 --> 00:19:55,399 Speaker 2: What are three more things? 334 00:19:55,600 --> 00:19:58,760 Speaker 1: Well, these are things that should be front page news. 335 00:19:58,760 --> 00:20:00,879 Speaker 1: But because of all the news the front page and 336 00:20:00,960 --> 00:20:03,680 Speaker 1: it doesn't make the front page. Of course, we have 337 00:20:04,000 --> 00:20:06,919 Speaker 1: the funeral today going on to the National Cathedral of 338 00:20:07,040 --> 00:20:10,520 Speaker 1: the late Senator Lindsey Graham. He is body lied and 339 00:20:10,600 --> 00:20:14,760 Speaker 1: state lied Leyden state was in state was his body. 340 00:20:15,440 --> 00:20:18,840 Speaker 1: The memorial service there happening at the Capitol, the Vice 341 00:20:18,840 --> 00:20:21,920 Speaker 1: President J. D. Mann speaking, the Senate Majority Leader John 342 00:20:22,000 --> 00:20:28,520 Speaker 1: Thune speaking, lots of senators appearing, certainly not all, not all. 343 00:20:28,840 --> 00:20:30,880 Speaker 1: Lindsey Graham was the guy who was not loved by all. 344 00:20:34,080 --> 00:20:39,000 Speaker 1: Very few people are loved by all. It's okay, right, 345 00:20:39,080 --> 00:20:42,040 Speaker 1: Not all of us are Betty White. And I'm sure 346 00:20:42,440 --> 00:20:47,720 Speaker 1: she had some detractor out there somewhere out there Betty 347 00:20:47,720 --> 00:20:50,960 Speaker 1: White dies at the age of ninety nine. The Great 348 00:20:51,000 --> 00:20:55,680 Speaker 1: shows the Golden Girls, love the love of pets and 349 00:20:55,760 --> 00:21:01,879 Speaker 1: caring for pets, becoming this America's grandma sweetheart. 350 00:21:01,440 --> 00:21:02,560 Speaker 2: Which is something we love. 351 00:21:02,600 --> 00:21:05,840 Speaker 3: In a door and somewhere out there there was a 352 00:21:05,920 --> 00:21:10,280 Speaker 3: woman chainsmoking pall Mall's sitting in her trailer watching the 353 00:21:10,320 --> 00:21:12,920 Speaker 3: TV going that bitch, I'm glad she's dead. 354 00:21:13,680 --> 00:21:18,040 Speaker 2: Somewhere that happened, and then she took a dragon went oh, 355 00:21:18,080 --> 00:21:19,280 Speaker 2: that's the good stuff. 356 00:21:22,680 --> 00:21:27,240 Speaker 1: You cannot please everybody, Please remember that all the rest 357 00:21:27,280 --> 00:21:33,720 Speaker 1: of your days. Lindsey Graham's gonna to have his detractors. Fine, 358 00:21:34,680 --> 00:21:36,959 Speaker 1: not the people who matter. I said that earlier, I 359 00:21:37,000 --> 00:21:42,400 Speaker 1: say it now. Some of the headlines was first that 360 00:21:42,640 --> 00:21:48,000 Speaker 1: the CEO of Cracker Barrel is stepping down. This goes 361 00:21:48,119 --> 00:21:53,000 Speaker 1: back to the whole rebrand thing. Remember when they tried 362 00:21:53,040 --> 00:21:56,680 Speaker 1: to rebrand Cracker Barrow and everyone's like, haha. 363 00:21:56,880 --> 00:21:59,560 Speaker 2: Nope, no no, no, no, no no no. 364 00:22:00,240 --> 00:22:02,600 Speaker 1: You leave our rocking chairs alone, and you leave our 365 00:22:02,680 --> 00:22:05,080 Speaker 1: Chinese checkers alone. And there better be a lot of 366 00:22:05,119 --> 00:22:08,720 Speaker 1: gravy on them biscuits. I'm talking about a stupid amount 367 00:22:09,240 --> 00:22:15,119 Speaker 1: of diabetes inducing gravy. Better take seven years off my life, 368 00:22:15,200 --> 00:22:16,280 Speaker 1: otherwise you have to go. 369 00:22:17,080 --> 00:22:18,680 Speaker 2: And Cracker Barrell apologized. 370 00:22:19,760 --> 00:22:23,879 Speaker 1: They apologized, and they did interviews and they tried to 371 00:22:23,920 --> 00:22:26,680 Speaker 1: turn it around. And what was interesting was that Cracker 372 00:22:26,680 --> 00:22:31,680 Speaker 1: Barrel was actually picking up. The sales end was picking up. 373 00:22:33,119 --> 00:22:35,280 Speaker 1: The stock price had gone down. It got hurt. 374 00:22:35,600 --> 00:22:36,679 Speaker 2: But after this. 375 00:22:36,960 --> 00:22:39,800 Speaker 1: Things had started to get better. They still got rid 376 00:22:40,080 --> 00:22:47,119 Speaker 1: of Julie Messino. She is the CEO they're bringing on 377 00:22:47,200 --> 00:22:51,359 Speaker 1: a new person. She made six million dollars a year. 378 00:22:52,600 --> 00:22:55,920 Speaker 1: Her annual compensation six point four million, including a base 379 00:22:56,000 --> 00:22:59,480 Speaker 1: salary of a million dollars, plus stock awards, and she's 380 00:22:59,520 --> 00:23:01,960 Speaker 1: going to get a four point six million dollar payout 381 00:23:02,280 --> 00:23:05,120 Speaker 1: over a two year period. As long as she remains 382 00:23:05,200 --> 00:23:08,399 Speaker 1: terminated without cause, she's gonna get the four point six million. 383 00:23:11,440 --> 00:23:15,320 Speaker 1: You mean, I can screw with a great American brand. 384 00:23:17,200 --> 00:23:20,000 Speaker 1: I can still get two point three million a. 385 00:23:20,000 --> 00:23:20,840 Speaker 2: Year for two years. 386 00:23:21,480 --> 00:23:28,240 Speaker 1: That's four point six Where do I sign? Where do 387 00:23:28,440 --> 00:23:31,160 Speaker 1: I happy to do it? You want to see me 388 00:23:31,160 --> 00:23:33,800 Speaker 1: mess up a logo, you give me twenty minutes in AI, 389 00:23:34,200 --> 00:23:35,520 Speaker 1: I'll give you a logo. 390 00:23:37,920 --> 00:23:42,080 Speaker 2: Four point six million dollars add another million. 391 00:23:42,119 --> 00:23:45,760 Speaker 1: That's my payout from radio. It's not it's not my 392 00:23:45,800 --> 00:23:51,639 Speaker 1: payout from Huh. That's that's a pity, really, because that 393 00:23:51,680 --> 00:23:56,600 Speaker 1: would be that would be just fine. I think it's amazing. 394 00:23:58,119 --> 00:24:01,480 Speaker 1: I think the whole freak out was amazing because I 395 00:24:01,520 --> 00:24:03,600 Speaker 1: remember the logo and that I remember the new logan 396 00:24:03,640 --> 00:24:10,240 Speaker 1: when I said, okay, whatever, How in the world was 397 00:24:10,280 --> 00:24:11,880 Speaker 1: I affected by their logo? 398 00:24:13,240 --> 00:24:15,800 Speaker 2: I never understood the anger or the angst. 399 00:24:16,200 --> 00:24:19,080 Speaker 1: Now what I was told was, Tony, you don't understand 400 00:24:19,080 --> 00:24:22,160 Speaker 1: how woke they're going. You don't understand what's going on 401 00:24:22,560 --> 00:24:25,000 Speaker 1: inside the store? I said, is they're still a rocking chair? 402 00:24:25,000 --> 00:24:26,399 Speaker 1: Can I still play Chinese Checkers? 403 00:24:26,680 --> 00:24:26,720 Speaker 6: What? 404 00:24:27,160 --> 00:24:28,639 Speaker 2: What am I? What am I missing? 405 00:24:28,640 --> 00:24:32,800 Speaker 1: But clearly there was something, And you know, it's a 406 00:24:32,840 --> 00:24:36,920 Speaker 1: solid question did they not learn from Budweiser Now Budweiser 407 00:24:37,000 --> 00:24:41,199 Speaker 1: really bud Light has battled back to at least do 408 00:24:41,320 --> 00:24:44,879 Speaker 1: the the the ads properly, and they've got Peyton Manning 409 00:24:44,920 --> 00:24:50,800 Speaker 1: doing the ads and Shane Gillis doing the ads. Right, 410 00:24:50,880 --> 00:24:55,359 Speaker 1: these guys are like beer company wants to pay me, 411 00:24:55,520 --> 00:24:58,959 Speaker 1: I'm going to say yes, I'm going to take their money. 412 00:25:00,000 --> 00:25:01,520 Speaker 1: Bud Light came to me and said we'd like for 413 00:25:01,520 --> 00:25:04,119 Speaker 1: you to do an ad, I would say, have you 414 00:25:04,200 --> 00:25:07,600 Speaker 1: fired all the ridiculous people who thought they should put 415 00:25:08,440 --> 00:25:13,160 Speaker 1: this caricature of a prepubescent girl on their on their 416 00:25:13,200 --> 00:25:15,120 Speaker 1: cans and they said, well, yes we did. 417 00:25:15,240 --> 00:25:19,200 Speaker 2: I'd be like, great, where do I sign? Hey? 418 00:25:19,440 --> 00:25:24,720 Speaker 1: This is Tony Katz for bud Light. Bud Light Good. Wait, 419 00:25:24,760 --> 00:25:27,879 Speaker 1: I can't say I'm good. That's from another ad campaign. Okay, 420 00:25:28,320 --> 00:25:30,440 Speaker 1: I'll do it differently, bud Light. 421 00:25:31,359 --> 00:25:32,000 Speaker 2: Just do it. 422 00:25:33,160 --> 00:25:35,800 Speaker 1: No, I can't say just do it okay, So can't 423 00:25:35,880 --> 00:25:43,400 Speaker 1: say good and can't say just do it. Okay, that's 424 00:25:43,480 --> 00:25:50,800 Speaker 1: all right, I got it. No, no, no problem. I'm 425 00:25:50,800 --> 00:25:53,120 Speaker 1: trying to think, what what what? What else can I say? 426 00:25:53,119 --> 00:25:53,280 Speaker 2: Now? 427 00:25:53,280 --> 00:25:55,480 Speaker 1: What else could I say? What else could I could? 428 00:25:55,520 --> 00:26:01,560 Speaker 1: I could I bring in there, bud Light. I'm loving it, seriously. No, 429 00:26:03,840 --> 00:26:07,360 Speaker 1: this is harder than I thought. This is harder than 430 00:26:07,359 --> 00:26:15,679 Speaker 1: I thought. For sure, I'll figure it out later. I 431 00:26:15,680 --> 00:26:20,280 Speaker 1: can do this. I know I can do this one 432 00:26:20,359 --> 00:26:21,000 Speaker 1: hundred percent. 433 00:26:21,680 --> 00:26:24,680 Speaker 2: I haven't gotten that offer yet, but she is out 434 00:26:24,760 --> 00:26:25,200 Speaker 2: the door. 435 00:26:26,080 --> 00:26:30,439 Speaker 1: Then there is the story of ilhan Omar and is 436 00:26:30,480 --> 00:26:36,880 Speaker 1: her sister linked to this Minnesota fraud. We are still 437 00:26:38,119 --> 00:26:43,720 Speaker 1: still in the midst of this the millions, tens of 438 00:26:43,720 --> 00:26:46,280 Speaker 1: millions of not hundreds of millions, if not billions of 439 00:26:46,320 --> 00:26:52,080 Speaker 1: dollars that has been stolen from the American people, stolen 440 00:26:54,080 --> 00:26:59,159 Speaker 1: through the fraud and Medicare, Medicaid, autism centers, all of it, 441 00:26:59,440 --> 00:27:03,359 Speaker 1: hospice all across the country, all fifty states. You know 442 00:27:03,400 --> 00:27:07,400 Speaker 1: it and I know it. But the story of this scandal, 443 00:27:07,480 --> 00:27:11,879 Speaker 1: this one with this group feeding our future, described as 444 00:27:11,920 --> 00:27:17,200 Speaker 1: the largest public theft of Minnesota history. And right now 445 00:27:17,240 --> 00:27:21,200 Speaker 1: there is a probe into Illana Mar's involvement in the scandal. 446 00:27:22,920 --> 00:27:27,800 Speaker 1: Public record stating that it's Omar's sister that may be 447 00:27:27,920 --> 00:27:33,720 Speaker 1: part of the operation. Her name is Sara Nor Sahrrr, 448 00:27:35,200 --> 00:27:38,520 Speaker 1: running several businesses in the region, including the People's Center 449 00:27:38,600 --> 00:27:44,120 Speaker 1: Clinics and Services in the Somali neighborhood of Minneapolis, which 450 00:27:44,280 --> 00:27:47,520 Speaker 1: got a two million dollar ear mark. While her sister 451 00:27:47,600 --> 00:27:54,520 Speaker 1: was a state representative. Well there you go. She was 452 00:27:54,560 --> 00:27:57,600 Speaker 1: a state rep was Ilhanamar sister got two million dollars 453 00:27:57,600 --> 00:27:58,200 Speaker 1: and everyone was. 454 00:27:58,160 --> 00:27:59,360 Speaker 2: Like, keep voting for. 455 00:28:02,240 --> 00:28:04,480 Speaker 1: What you don't care about the fraud when it's somebody 456 00:28:04,480 --> 00:28:10,160 Speaker 1: else's money. So now she went on to find founder 457 00:28:10,200 --> 00:28:14,679 Speaker 1: group called Grit partners consulting, and they state that they 458 00:28:14,680 --> 00:28:16,720 Speaker 1: have secured more than twenty million in funding for health 459 00:28:16,720 --> 00:28:20,680 Speaker 1: initiatives and consulted on projects back by federal health agencies 460 00:28:20,720 --> 00:28:23,160 Speaker 1: such as USAID. 461 00:28:22,920 --> 00:28:24,480 Speaker 2: And the Center for Disease Control. 462 00:28:27,080 --> 00:28:31,800 Speaker 1: They can tell me that USAID costs lives all they want. 463 00:28:32,520 --> 00:28:33,400 Speaker 2: And I put. 464 00:28:33,200 --> 00:28:37,120 Speaker 1: Forth to you that USAID was a slush fund and 465 00:28:37,160 --> 00:28:39,400 Speaker 1: we should never put a dime to it, and we 466 00:28:39,480 --> 00:28:44,040 Speaker 1: are all better off, all better off that everything's said about. 467 00:28:44,040 --> 00:28:46,280 Speaker 1: Look at the lives lost, Look at the people who 468 00:28:46,320 --> 00:28:50,280 Speaker 1: got abused, the American citizens who got abused. It wasn't 469 00:28:50,360 --> 00:28:57,200 Speaker 1: worth it. It wasn't worth it. It was a slush fund. 470 00:28:57,320 --> 00:29:00,880 Speaker 1: It was used to prop up those who are fellow 471 00:29:00,920 --> 00:29:05,680 Speaker 1: travelers on the taxpayer dime. I'm thrilled that it's gone. 472 00:29:05,800 --> 00:29:08,959 Speaker 1: I want DOGE to come back, and I want more cuts. 473 00:29:10,880 --> 00:29:12,560 Speaker 1: Did we get rid of am far, Of course not. 474 00:29:13,280 --> 00:29:15,120 Speaker 1: Do we still support a whole bunch of causes, You 475 00:29:15,160 --> 00:29:16,960 Speaker 1: bet we do. Didn't have to come to the USAID, 476 00:29:17,160 --> 00:29:19,160 Speaker 1: Absolutely not. And I'll say it again for the people 477 00:29:19,160 --> 00:29:22,200 Speaker 1: in the cheap seats. I do not know if correlation 478 00:29:22,360 --> 00:29:28,160 Speaker 1: is causation, but the idea that we don't find usaid, 479 00:29:28,480 --> 00:29:34,440 Speaker 1: we haven't seen any riots recently. That's just amazing that 480 00:29:34,560 --> 00:29:42,600 Speaker 1: I love that conspiracy theory. It is awesome, I tell you, awesome, fantastic. 481 00:29:42,720 --> 00:29:46,240 Speaker 3: I have no idea if there's any correlation whatsoever. 482 00:29:47,280 --> 00:29:48,920 Speaker 2: I just love that people talk about it. 483 00:29:49,120 --> 00:29:52,640 Speaker 1: Oh as for Elejan Nomar's sister, I don't know what's 484 00:29:52,640 --> 00:29:53,320 Speaker 1: true here or not. 485 00:29:53,800 --> 00:30:02,400 Speaker 2: I would immediately be investigating for sure, but considering I'm. 486 00:30:02,160 --> 00:30:04,480 Speaker 1: One of the people who absolutely believes that Ilhan Omar 487 00:30:04,640 --> 00:30:08,000 Speaker 1: married her brother to allow him to stay in the country. 488 00:30:08,800 --> 00:30:12,200 Speaker 2: Absolutely, I believe that. 489 00:30:12,200 --> 00:30:15,720 Speaker 1: This is possible, if not probable innocent, they'll proven guilty 490 00:30:16,040 --> 00:30:18,360 Speaker 1: and let's go investigate. 491 00:30:19,480 --> 00:30:23,040 Speaker 2: And then. According to. 492 00:30:24,800 --> 00:30:28,440 Speaker 1: A story twenty twenty five study published at the Journal 493 00:30:28,520 --> 00:30:33,480 Speaker 1: of the American Dental Association, seventy three percent of adults 494 00:30:33,600 --> 00:30:37,880 Speaker 1: report some level of dental fear. They're afraid of seeing 495 00:30:37,880 --> 00:30:41,720 Speaker 1: the dentist. Producier Landon, Are you afraid of seeing the dentist? 496 00:30:42,200 --> 00:30:44,520 Speaker 2: No, I just don't like going. You don't like going, 497 00:30:44,560 --> 00:30:45,360 Speaker 2: but you're not afraid? 498 00:30:45,800 --> 00:30:49,360 Speaker 1: Yeah, correct, Okay, I will tell you shoe story first, 499 00:30:49,520 --> 00:30:53,040 Speaker 1: not afraid. Second of all, don't care about going when 500 00:30:53,080 --> 00:30:56,640 Speaker 1: I am getting a cleaning Tanya, how are you when 501 00:30:56,720 --> 00:31:03,600 Speaker 1: I that is my hygienist, I fall asleep. If I'm 502 00:31:03,600 --> 00:31:06,600 Speaker 1: getting a haircut, I absolutely fall asleep. It is relaxing. 503 00:31:07,880 --> 00:31:11,720 Speaker 1: Teeth cleaning, cleaning of the toothies, I fall asleep in 504 00:31:11,760 --> 00:31:14,400 Speaker 1: the chair while they are in my mouth cleaning. 505 00:31:15,480 --> 00:31:18,520 Speaker 2: Have you ever done that landing? I've been close many times. 506 00:31:18,640 --> 00:31:23,160 Speaker 1: Yeah, I'm just out like a light gone. And people 507 00:31:23,200 --> 00:31:24,719 Speaker 1: look at me like, how in the world do you 508 00:31:24,760 --> 00:31:29,560 Speaker 1: do that? I'm like, turns out very easily, very very 509 00:31:29,840 --> 00:31:30,720 Speaker 1: very easily. 510 00:31:32,640 --> 00:31:33,920 Speaker 2: Just there's something. 511 00:31:34,640 --> 00:31:35,960 Speaker 1: I don't fall asleep in the middle of the of 512 00:31:36,000 --> 00:31:39,160 Speaker 1: the afternoon, right And someone asked if I need a seapop. 513 00:31:39,240 --> 00:31:41,600 Speaker 1: I have a seapop. Oh, I'll tell you that story 514 00:31:41,600 --> 00:31:45,960 Speaker 1: another time. But yeah, Oh, it's just so relaxing. It's 515 00:31:46,000 --> 00:31:48,440 Speaker 1: just I'm at ease and I don't know what's going on. 516 00:31:49,440 --> 00:31:54,800 Speaker 1: Gone gone. But if people are really people still afraid 517 00:31:54,840 --> 00:31:55,800 Speaker 1: of going to the dentist. 518 00:31:56,760 --> 00:32:02,000 Speaker 2: They've got all the good drugs they've got, why would 519 00:32:02,160 --> 00:32:05,160 Speaker 2: why would you be afraid of going? Doesn't make any 520 00:32:05,160 --> 00:32:08,400 Speaker 2: sense to me. I just I. 521 00:32:10,480 --> 00:32:13,080 Speaker 1: Not wanting to go, not enjoying. It is different than fear. 522 00:32:13,080 --> 00:32:15,840 Speaker 1: And I wonder if that's how they really meant it. 523 00:32:16,000 --> 00:32:20,600 Speaker 1: Seventy three percent. It seems like a high number, but 524 00:32:20,680 --> 00:32:23,720 Speaker 1: it's a greater number that is getting their information stolen 525 00:32:23,760 --> 00:32:27,239 Speaker 1: online because there's a file with your name on it. 526 00:32:27,240 --> 00:32:29,400 Speaker 1: It's got everything. It's got all your home information, it's 527 00:32:29,400 --> 00:32:34,360 Speaker 1: got all your connection contact information, it's got your medical conditions, 528 00:32:34,440 --> 00:32:38,400 Speaker 1: it has your kids' names, it has your kids' names 529 00:32:38,520 --> 00:32:41,320 Speaker 1: in this whole concept. What's going on here is with 530 00:32:41,360 --> 00:32:43,680 Speaker 1: the data brokers. This is a multi billion dollar industry, 531 00:32:43,920 --> 00:32:45,600 Speaker 1: and what they're able to do is to mass all 532 00:32:45,640 --> 00:32:47,920 Speaker 1: this information on you and then they're able to accept 533 00:32:47,920 --> 00:32:48,760 Speaker 1: a credit card. 534 00:32:48,760 --> 00:32:51,240 Speaker 2: And sell your information. 535 00:32:52,720 --> 00:32:54,960 Speaker 1: Your file is collected, and it's packaged and it's sold 536 00:32:55,000 --> 00:32:58,040 Speaker 1: and it's all legal, which is insane. Every scam, every 537 00:32:58,080 --> 00:33:00,880 Speaker 1: phishing text, you know those texts where like saying things 538 00:33:01,120 --> 00:33:02,320 Speaker 1: like how do they know that about me? How do 539 00:33:02,320 --> 00:33:04,720 Speaker 1: they know that about my family? Yeah, someone paid for 540 00:33:04,760 --> 00:33:10,000 Speaker 1: your file. This costs American taxpayers twenty billion dollars plus 541 00:33:10,240 --> 00:33:13,640 Speaker 1: each and every year because the scammers not lucky. They're 542 00:33:13,680 --> 00:33:16,320 Speaker 1: getting prepared. You can do something about this. You can 543 00:33:16,400 --> 00:33:20,160 Speaker 1: protect yourself. Do what I did. Use incogniti I ncog 544 00:33:20,480 --> 00:33:24,360 Speaker 1: n I in Cogni dot com. They are the ones 545 00:33:24,360 --> 00:33:26,960 Speaker 1: who go broker by broker and they force each one 546 00:33:27,000 --> 00:33:28,880 Speaker 1: to delete your file. You know those opt out forms 547 00:33:28,880 --> 00:33:30,520 Speaker 1: that they bury in you can ever find them it 548 00:33:30,560 --> 00:33:33,959 Speaker 1: cognifinds those and when your data tries to creep back boom, 549 00:33:33,960 --> 00:33:36,120 Speaker 1: there's in cognity to wipe it again. 550 00:33:36,240 --> 00:33:38,040 Speaker 2: Go to incogniti dot com slash cats. 551 00:33:38,080 --> 00:33:41,120 Speaker 1: That's the website, I ncog n I and cognity dot 552 00:33:41,120 --> 00:33:44,320 Speaker 1: com slash cats right now for sixty percent off. That's 553 00:33:44,360 --> 00:33:47,840 Speaker 1: in Cogni dot com. Slash cats. Get your sixty percent 554 00:33:47,880 --> 00:33:50,480 Speaker 1: off with promo code cats. Take your private life off 555 00:33:50,520 --> 00:33:52,960 Speaker 1: the market in Cogni dot com. 556 00:33:53,040 --> 00:33:55,440 Speaker 2: Keep it here. This is Tony Katz today. 557 00:33:55,440 --> 00:34:02,040 Speaker 1: Taking the casket of the late Center Lindsay Graham into 558 00:34:03,600 --> 00:34:06,880 Speaker 1: the National Cathedral, which if you've never been, is an 559 00:34:06,880 --> 00:34:16,040 Speaker 1: absolutely absolutely beautiful, beautiful building. Tony Katz, Tony Katz today, 560 00:34:16,760 --> 00:34:22,200 Speaker 1: this the funeral for the senator. You have a who's 561 00:34:22,200 --> 00:34:26,160 Speaker 1: who of Washington that is inside the full cabinet. 562 00:34:26,520 --> 00:34:27,399 Speaker 2: Is there? 563 00:34:28,640 --> 00:34:34,280 Speaker 1: Justice Brett Kavanaugh is in attendance behind him the CIA director. 564 00:34:34,280 --> 00:34:36,040 Speaker 1: Earlier I was talking, I thought it was the D 565 00:34:36,120 --> 00:34:38,879 Speaker 1: and I and the CIA director John Ratcliffe. Behind him 566 00:34:39,600 --> 00:34:44,239 Speaker 1: is the Prime Minister of Israel, Benjamin and Yahoo. All 567 00:34:44,280 --> 00:34:50,400 Speaker 1: there in attendance for the funeral of Lindsey Graham. A 568 00:34:50,440 --> 00:34:55,000 Speaker 1: fair amount of pomp and circumstance for the senator here. No, 569 00:34:55,160 --> 00:35:01,440 Speaker 1: it is not what every senator will receive on their death. 570 00:35:03,280 --> 00:35:05,799 Speaker 1: And I don't think there's anything wrong with anybody saying 571 00:35:05,840 --> 00:35:07,200 Speaker 1: I like this or I didn't like that. 572 00:35:07,320 --> 00:35:09,000 Speaker 2: I say it. 573 00:35:08,360 --> 00:35:13,200 Speaker 1: It's absolutely fine, Absolutely fine. 574 00:35:14,120 --> 00:35:15,879 Speaker 2: But the funeral will take place and. 575 00:35:16,200 --> 00:35:18,640 Speaker 1: Well, back to work. 576 00:35:18,680 --> 00:35:19,839 Speaker 2: Everyone's going to have to go. 577 00:35:21,360 --> 00:35:25,040 Speaker 1: And the President moving forward on saying we not only 578 00:35:25,080 --> 00:35:28,839 Speaker 1: have to pass the Save Act, but we shouldn't even 579 00:35:28,840 --> 00:35:35,000 Speaker 1: be taking the recess. I favor this on every level. 580 00:35:36,480 --> 00:35:43,560 Speaker 1: No recess. Do the work. That's what's necessary, and the 581 00:35:43,600 --> 00:35:47,880 Speaker 1: Save Act must be passed a lot more so. To 582 00:35:47,920 --> 00:35:50,680 Speaker 1: get to find everything at Tony kats dot com. This 583 00:35:50,800 --> 00:35:51,840 Speaker 1: is Tony Katz today,