1 00:00:10,400 --> 00:00:15,600 Speaker 1: Now there you go. There you go, Well, interesting bell 2 00:00:15,760 --> 00:00:20,200 Speaker 1: there the circle, that's a circle. I have no idea. 3 00:00:20,200 --> 00:00:22,439 Speaker 1: I've never seen that one before me. He's ringing the 4 00:00:22,440 --> 00:00:25,080 Speaker 1: bell by hand. There you go, Broad and Wall close, 5 00:00:25,160 --> 00:00:28,600 Speaker 1: Marcus close. We're open, We're open for business. Check it 6 00:00:28,600 --> 00:00:30,120 Speaker 1: out down down one hundred and thirty or so one 7 00:00:30,200 --> 00:00:32,440 Speaker 1: hundred and seventy and the nass. So, folks, this is 8 00:00:32,840 --> 00:00:35,559 Speaker 1: I got. I gotta preface this with Mark was up 9 00:00:35,560 --> 00:00:38,080 Speaker 1: a little bit, and then this feud broke out. This 10 00:00:38,200 --> 00:00:42,720 Speaker 1: feud broke out between Elon Musk and Donald Trump. And 11 00:00:42,800 --> 00:00:46,040 Speaker 1: the first thing to go was Tesla stock ben do 12 00:00:46,120 --> 00:00:49,400 Speaker 1: we have that Tesla chart? I've been watching Tesla all day, 13 00:00:49,520 --> 00:00:52,199 Speaker 1: just fall apart. Started out a little bit lower. And 14 00:00:52,200 --> 00:00:56,160 Speaker 1: look at that. The thing just just poop the bed, 15 00:00:56,280 --> 00:00:57,920 Speaker 1: as they say in Wall Street, and they don't use 16 00:00:57,960 --> 00:01:01,320 Speaker 1: poop two d Look at that two hundred and seventy 17 00:01:01,320 --> 00:01:04,440 Speaker 1: five down fifty six dollars. It is about an hour ago, folks. 18 00:01:04,560 --> 00:01:07,960 Speaker 1: So Tesla goes down, the stock market starts to get negative. 19 00:01:08,080 --> 00:01:10,440 Speaker 1: Everything everyone's trying to go, what the heck is going on? 20 00:01:10,680 --> 00:01:13,120 Speaker 1: People took a break. I'll tell you what else. It 21 00:01:13,200 --> 00:01:18,080 Speaker 1: got hit the crypto market. The crypto got market got smoked. 22 00:01:19,040 --> 00:01:21,040 Speaker 1: Let me just take a quick peek on where crypto 23 00:01:21,160 --> 00:01:23,840 Speaker 1: is at the second. But right now, one hundred and 24 00:01:23,880 --> 00:01:27,600 Speaker 1: one nine hundred bitcoins, so we're substantially down like four 25 00:01:27,680 --> 00:01:31,800 Speaker 1: thousand dollars from yesterday alone in crypto. Yeah, there's one 26 00:01:31,840 --> 00:01:34,920 Speaker 1: hundred two thousand oh one, so three thousand as we 27 00:01:34,959 --> 00:01:37,720 Speaker 1: speak from yesterday. Try but when we were here talking yesterday, 28 00:01:37,720 --> 00:01:39,800 Speaker 1: we were about one hundred and five hundred and six 29 00:01:39,840 --> 00:01:45,160 Speaker 1: thousand crypto. So Tesla started to go. Cryptos started to 30 00:01:45,160 --> 00:01:49,680 Speaker 1: go across the board. Even even the Trump crypto coin 31 00:01:50,000 --> 00:01:52,280 Speaker 1: took a bit of a hit too. It took a 32 00:01:52,320 --> 00:01:55,240 Speaker 1: substantial hit as well. So everyone's a little nervous about 33 00:01:55,280 --> 00:01:57,440 Speaker 1: this feud going back and forth because I remember Trump said 34 00:01:57,960 --> 00:02:01,240 Speaker 1: maybe we should pull Tesla's some of Tesla's you know, 35 00:02:01,520 --> 00:02:05,600 Speaker 1: favorable tax treatments, and Elon said, well, this bill is 36 00:02:05,640 --> 00:02:08,000 Speaker 1: a bat and so so this fighting, this fighting go ahead, 37 00:02:08,200 --> 00:02:09,480 Speaker 1: mad dog, tell me again, what do you have. 38 00:02:10,760 --> 00:02:11,680 Speaker 2: Just stand by on Brian. 39 00:02:11,880 --> 00:02:14,520 Speaker 1: Okay, just waiting on Brian. So this is this huge's 40 00:02:14,560 --> 00:02:16,720 Speaker 1: been going back and forth all day. First I thought 41 00:02:16,760 --> 00:02:18,639 Speaker 1: it was a joke. First I thought this was a 42 00:02:18,840 --> 00:02:20,720 Speaker 1: maybe they're you know, yucking it up a little bit 43 00:02:20,760 --> 00:02:23,359 Speaker 1: at our expense. And then it got a little bit 44 00:02:23,360 --> 00:02:25,280 Speaker 1: more serious, and then I thought, maybe, well, maybe this 45 00:02:25,400 --> 00:02:28,880 Speaker 1: is way that Elon and Trump can maybe get the 46 00:02:28,960 --> 00:02:31,400 Speaker 1: Senate to fix some of the things in the bill 47 00:02:31,520 --> 00:02:33,280 Speaker 1: that a lot of people don't like. Certainly a lot 48 00:02:33,280 --> 00:02:38,320 Speaker 1: of you know, hardcore maga conservative fiscal conservative folks don't like. 49 00:02:38,360 --> 00:02:40,480 Speaker 1: And who thought that was going back and forth and 50 00:02:40,520 --> 00:02:43,359 Speaker 1: back and forth, and then it got a little personal. 51 00:02:43,639 --> 00:02:46,959 Speaker 1: Then it got a little personal because Elon made some 52 00:02:47,000 --> 00:02:49,799 Speaker 1: comments about the Epstein files and Trump being on it, 53 00:02:49,919 --> 00:02:52,680 Speaker 1: and then Trump said, look, maybe we should pull some 54 00:02:52,760 --> 00:02:58,600 Speaker 1: of those favorable tax treatments to some of Musk's Tesla Starlink, 55 00:02:58,600 --> 00:03:01,960 Speaker 1: et cetera. And those stocks start. So this seems to 56 00:03:02,000 --> 00:03:04,360 Speaker 1: be real. I mean, I hope we have Ben at 57 00:03:04,360 --> 00:03:05,680 Speaker 1: the end of the show. See if you can tell 58 00:03:05,720 --> 00:03:07,720 Speaker 1: us if he thinks it's real. I'm not sure what 59 00:03:07,800 --> 00:03:14,160 Speaker 1: the story, mad Doug. Tell me what's happening. Let me 60 00:03:14,200 --> 00:03:17,919 Speaker 1: know we're still standing by it. We're standing by all right, 61 00:03:17,960 --> 00:03:19,600 Speaker 1: So pull up some of these tweets. Then let's see 62 00:03:19,600 --> 00:03:20,799 Speaker 1: if you can pull up some of the tweets that 63 00:03:20,840 --> 00:03:23,399 Speaker 1: we would have them talking about them and going back 64 00:03:23,440 --> 00:03:25,840 Speaker 1: and forth. Now not to accept the one. Let's sayeah, 65 00:03:25,880 --> 00:03:28,120 Speaker 1: there we go elon Musk. Without me, Trump would have 66 00:03:28,200 --> 00:03:32,000 Speaker 1: lost the election. See that was the first real kind 67 00:03:32,000 --> 00:03:35,200 Speaker 1: of like stick it to Trump tweet or call it 68 00:03:35,200 --> 00:03:38,240 Speaker 1: an X or post on X. So without me, he 69 00:03:38,240 --> 00:03:40,640 Speaker 1: would have lost the election. You know in Trump, I've 70 00:03:40,680 --> 00:03:42,920 Speaker 1: known him a long time and remember when he famously 71 00:03:42,920 --> 00:03:45,240 Speaker 1: said if someone punches me out, I'll punch him back 72 00:03:45,800 --> 00:03:48,560 Speaker 1: ten times harder. He was laying low and I really 73 00:03:48,560 --> 00:03:50,840 Speaker 1: didn't get it. So he had the German Chancellor in 74 00:03:50,920 --> 00:03:53,000 Speaker 1: the Oval office and that may have been the reason why. 75 00:03:53,040 --> 00:03:55,600 Speaker 1: But someone liked Trump to take a shot like that 76 00:03:55,960 --> 00:03:59,400 Speaker 1: without really going aggressively at him, and then it escalated. 77 00:03:59,400 --> 00:04:01,160 Speaker 1: Do we have another one? Time to drop the real 78 00:04:01,240 --> 00:04:02,560 Speaker 1: Oh this is the other one. Yeah, this is the 79 00:04:02,560 --> 00:04:05,320 Speaker 1: one where it kind of got nasty, just not kind 80 00:04:05,320 --> 00:04:07,800 Speaker 1: of This is this is this is uncalled for time 81 00:04:07,840 --> 00:04:10,520 Speaker 1: to drop the really big bomb. Trump is the is 82 00:04:10,560 --> 00:04:13,280 Speaker 1: in the Epstein files. It's the real reason they've not 83 00:04:13,360 --> 00:04:15,680 Speaker 1: been made public. Have a nice day. And of course 84 00:04:15,720 --> 00:04:19,080 Speaker 1: the implication there is that the promises for the Epstein 85 00:04:19,360 --> 00:04:24,839 Speaker 1: files from Pambondi, Attorney General, and also cash Betel, FBI 86 00:04:24,920 --> 00:04:28,480 Speaker 1: director that maybe they were holding that's the implication. That's 87 00:04:29,240 --> 00:04:32,080 Speaker 1: what's going around on social media. Are they holding back 88 00:04:33,200 --> 00:04:36,560 Speaker 1: because of Trump being in it. I would certainly hope 89 00:04:36,680 --> 00:04:40,440 Speaker 1: that's not the case. It so, and then I don't 90 00:04:40,440 --> 00:04:43,320 Speaker 1: know if we have it, but Trump saying let's there 91 00:04:43,320 --> 00:04:45,240 Speaker 1: we go. The easiest way to sit here, we go. 92 00:04:45,240 --> 00:04:47,640 Speaker 1: Good job, guys. The easiest way to save money in 93 00:04:47,720 --> 00:04:50,800 Speaker 1: our budget, billions and billions of dollars, is to terminate 94 00:04:50,839 --> 00:04:55,520 Speaker 1: elon's governmental subsidies and contracts. I was always surprised that 95 00:04:55,560 --> 00:04:58,040 Speaker 1: Biden didn't do it. So hold that treat up there 96 00:04:58,040 --> 00:04:59,680 Speaker 1: for a second. There's a reason. There's a couple of 97 00:04:59,680 --> 00:05:02,840 Speaker 1: things there, right. So the billions and billions on the 98 00:05:02,880 --> 00:05:05,920 Speaker 1: subseys government subse is meaning for electric cars. So if 99 00:05:05,920 --> 00:05:08,520 Speaker 1: you buy an electric vehicle right now, there's a seventy 100 00:05:08,520 --> 00:05:14,000 Speaker 1: five dollars federal grant that you get if you buy 101 00:05:14,040 --> 00:05:16,200 Speaker 1: an electric vehicle with a certain amount of at certain 102 00:05:16,240 --> 00:05:20,760 Speaker 1: price levels. But the other one the contracts, right, so 103 00:05:20,839 --> 00:05:24,159 Speaker 1: the contracts, think about this is the big one now NASA, right, 104 00:05:24,240 --> 00:05:27,040 Speaker 1: NASA and Space Acts have a massive contract We were 105 00:05:27,080 --> 00:05:30,760 Speaker 1: just at NASA a couple of months ago watching a 106 00:05:30,880 --> 00:05:35,640 Speaker 1: Starlink rocket takeoff with with NASA branding on it. So 107 00:05:35,880 --> 00:05:37,960 Speaker 1: there's a there's a huge contract in there, and that 108 00:05:38,160 --> 00:05:44,880 Speaker 1: it helps Elon Musk because you use the government scientists background, 109 00:05:44,920 --> 00:05:47,400 Speaker 1: some some finances, and then on the other side, the 110 00:05:47,400 --> 00:05:49,680 Speaker 1: government gets to use some of the technology that Elon 111 00:05:49,720 --> 00:05:52,520 Speaker 1: has has developed. So this is really big. It's because 112 00:05:52,520 --> 00:05:56,480 Speaker 1: it not only hits Tesla with the subsidies for electric vehicles, 113 00:05:56,680 --> 00:06:01,800 Speaker 1: it actually hits Elon Musk's other companies, Starlink with the 114 00:06:01,800 --> 00:06:04,200 Speaker 1: government contract. Is he going to pull the NASA contract now? 115 00:06:04,320 --> 00:06:06,360 Speaker 1: I don't know. I mean, I hope not, because we 116 00:06:06,400 --> 00:06:09,160 Speaker 1: really do need the space exploration of space travel. I mean, 117 00:06:09,600 --> 00:06:12,960 Speaker 1: that's a great joint public private hybrid joint venture that 118 00:06:13,040 --> 00:06:16,040 Speaker 1: I think I hope stays in place. And it's really 119 00:06:16,160 --> 00:06:21,279 Speaker 1: interesting that Trump tweeted or exed the easier I'm sorry, truth, 120 00:06:21,320 --> 00:06:24,360 Speaker 1: I guess he did. The easiest way to save is 121 00:06:25,000 --> 00:06:30,679 Speaker 1: to terminate elons, not Tesla's and Starlink's elons. So this, folks, 122 00:06:30,960 --> 00:06:35,200 Speaker 1: has become extremely extremely personal. What do you think the 123 00:06:35,240 --> 00:06:37,040 Speaker 1: don't hit me up. I'm curious to hear what you 124 00:06:37,600 --> 00:06:41,159 Speaker 1: have to say about all this. Okay, let's bring in 125 00:06:41,200 --> 00:06:45,000 Speaker 1: our rab chief White House correspondent Brian Glenn. Let's talk 126 00:06:45,040 --> 00:06:47,720 Speaker 1: a little bit about this. Brian, have been talking about 127 00:06:47,760 --> 00:06:49,640 Speaker 1: it for the past six and a half minutes or so. 128 00:06:50,160 --> 00:06:53,400 Speaker 1: It it just feels, I don't know, let's call it 129 00:06:53,480 --> 00:06:57,320 Speaker 1: ikey to me as as a lover aboth everything Trump 130 00:06:57,360 --> 00:07:00,680 Speaker 1: is trying to do and doing and really respect the 131 00:07:00,720 --> 00:07:03,400 Speaker 1: Ela Musk and what he has done. So you feel 132 00:07:03,400 --> 00:07:04,120 Speaker 1: the same way. 133 00:07:04,560 --> 00:07:06,640 Speaker 3: Yeah, I do. 134 00:07:06,839 --> 00:07:09,880 Speaker 4: I do, Eric, I actually feel a lot like I did, 135 00:07:10,440 --> 00:07:12,360 Speaker 4: un Butler, to be honest with you, and I'm getting 136 00:07:12,360 --> 00:07:14,120 Speaker 4: some slap back of my IFP guys, just so you 137 00:07:14,120 --> 00:07:16,320 Speaker 4: do to correct that when I'm what I mean by 138 00:07:16,360 --> 00:07:19,880 Speaker 4: that is we had so much momentum, We had so 139 00:07:19,960 --> 00:07:21,640 Speaker 4: much collectiveness in this party. 140 00:07:21,760 --> 00:07:24,040 Speaker 3: We had working on the big beautiful bill. 141 00:07:24,080 --> 00:07:26,120 Speaker 4: We're working on all the elements, We're making sure the 142 00:07:26,160 --> 00:07:28,160 Speaker 4: Trump Agenda gets funded. 143 00:07:28,200 --> 00:07:31,200 Speaker 3: We were working on all of that, and. 144 00:07:31,120 --> 00:07:34,440 Speaker 4: Then it goes and it goes from you know, maybe 145 00:07:34,440 --> 00:07:36,320 Speaker 4: it's not the post perfect bill. 146 00:07:36,120 --> 00:07:38,320 Speaker 3: And it doesn't cut. It's got all this stuff to. 147 00:07:38,440 --> 00:07:42,880 Speaker 4: Basically mentioning the Epstein files. I don't know how we 148 00:07:43,120 --> 00:07:46,400 Speaker 4: got from point A to point B. But it's very 149 00:07:46,400 --> 00:07:50,240 Speaker 4: disturbing to me, and to be honest with you, I've 150 00:07:50,360 --> 00:07:54,120 Speaker 4: really had to process this the last ninety minutes or 151 00:07:54,120 --> 00:07:58,440 Speaker 4: so when these messages were getting fired back and forth. 152 00:07:58,480 --> 00:08:04,000 Speaker 4: And you know, I obviously I've got my theory that 153 00:08:04,160 --> 00:08:08,760 Speaker 4: if in fact there was anything mischievous with that Epstein file, 154 00:08:08,880 --> 00:08:12,000 Speaker 4: I think the administration that occupied that White House before 155 00:08:12,080 --> 00:08:15,080 Speaker 4: President Trump would have done it everything in their power 156 00:08:15,360 --> 00:08:17,080 Speaker 4: that they tried to shoot this man in the head. 157 00:08:17,200 --> 00:08:19,440 Speaker 4: They rade it mar Alago, They hit him with thirty 158 00:08:19,440 --> 00:08:21,880 Speaker 4: four indictments in New York on a bunch of bull crap, 159 00:08:22,320 --> 00:08:24,400 Speaker 4: and then if they had anything, if there. 160 00:08:24,320 --> 00:08:27,160 Speaker 3: Was anything there, they would have played that card and 161 00:08:27,200 --> 00:08:28,320 Speaker 3: he would not be in the office. 162 00:08:28,400 --> 00:08:31,200 Speaker 4: So I'm kind of discrediting that Eric, and I said 163 00:08:31,240 --> 00:08:34,400 Speaker 4: this during Gruber's show. I'm starting to feel like some 164 00:08:34,480 --> 00:08:36,959 Speaker 4: of these tweets were just kind of an emotional state, 165 00:08:37,360 --> 00:08:38,280 Speaker 4: maybe a little anger. 166 00:08:38,920 --> 00:08:40,160 Speaker 3: Maybe you push something out. 167 00:08:40,200 --> 00:08:42,240 Speaker 4: You've ever sent that text message you wish you could 168 00:08:43,120 --> 00:08:47,520 Speaker 4: rescind and have it sent back to you. I'm hoping 169 00:08:47,840 --> 00:08:51,800 Speaker 4: that the waters settle on this, But if I could 170 00:08:51,840 --> 00:08:54,319 Speaker 4: just for a second, and I was trying to get 171 00:08:54,320 --> 00:08:56,360 Speaker 4: some advice on this earlier and I was told don't 172 00:08:56,360 --> 00:08:58,520 Speaker 4: do it, but I'm gonna do it anyway. I want 173 00:08:58,559 --> 00:09:00,480 Speaker 4: these two gentlemen in a room to get and I 174 00:09:00,520 --> 00:09:02,520 Speaker 4: want that to happen in the next twenty four hours. 175 00:09:02,640 --> 00:09:04,559 Speaker 3: I think it's very important that you. 176 00:09:04,559 --> 00:09:08,160 Speaker 4: Take the two most powerful people in the world right now, 177 00:09:08,200 --> 00:09:11,400 Speaker 4: two people that when they're together on the same team, 178 00:09:11,520 --> 00:09:14,680 Speaker 4: working hand in hand, they can accomplish anything, and I 179 00:09:14,760 --> 00:09:17,480 Speaker 4: mean anything. And to have this happen right now is 180 00:09:17,520 --> 00:09:20,280 Speaker 4: watching a really bad divorce unfold in front of you. 181 00:09:20,559 --> 00:09:22,200 Speaker 4: And I don't like it, and I know that the American 182 00:09:22,240 --> 00:09:24,200 Speaker 4: people don't like it. I don't give a crap about 183 00:09:24,280 --> 00:09:27,600 Speaker 4: Ukraine right now. I don't give a crap about Chinese tariffs. 184 00:09:27,640 --> 00:09:29,640 Speaker 4: I don't give a crap about trade right now. I 185 00:09:29,679 --> 00:09:32,000 Speaker 4: care about this country. We have the two most powerful 186 00:09:32,040 --> 00:09:35,040 Speaker 4: people in this country at each other's throat right now, 187 00:09:35,120 --> 00:09:36,240 Speaker 4: and I don't like it, and. 188 00:09:36,200 --> 00:09:37,120 Speaker 3: It needs to be resolved. 189 00:09:38,400 --> 00:09:41,199 Speaker 1: So I totally I think you're hitting the nail. And 190 00:09:41,480 --> 00:09:44,320 Speaker 1: it's like watching your two parents, you know, in the 191 00:09:44,320 --> 00:09:47,480 Speaker 1: midst of a really really bad fight and divorce. But 192 00:09:47,559 --> 00:09:51,560 Speaker 1: here here's the issue. I mean, Brian so Maga obviously 193 00:09:51,600 --> 00:09:56,679 Speaker 1: behind Donald Trump. Donald Trump's agenda, his policies. We've been 194 00:09:56,800 --> 00:10:01,120 Speaker 1: very much in support of Elon Musk about basically saving 195 00:10:01,160 --> 00:10:04,240 Speaker 1: free speech in America by buying Twitter turning it into 196 00:10:04,320 --> 00:10:07,559 Speaker 1: a free speech platform. Do we have to pick and 197 00:10:07,679 --> 00:10:11,120 Speaker 1: choose which which dad we want to live with? 198 00:10:13,600 --> 00:10:13,880 Speaker 2: Yeah? 199 00:10:14,000 --> 00:10:16,400 Speaker 3: No, I want to live with both of them. I don't. 200 00:10:16,440 --> 00:10:17,960 Speaker 3: I think we can live with both of them. 201 00:10:18,679 --> 00:10:21,679 Speaker 4: Look, Elon put a lot of money in, if I'm 202 00:10:21,679 --> 00:10:24,360 Speaker 4: not mistaken, Pennsylvania to make sure we. 203 00:10:24,400 --> 00:10:26,480 Speaker 1: Had nothing over one hundred million out the vine. So 204 00:10:26,679 --> 00:10:29,120 Speaker 1: I think, if I'm not mistaken, he drove million dollars 205 00:10:29,160 --> 00:10:32,400 Speaker 1: a million into Pennsylvania and he started there. That's where 206 00:10:32,400 --> 00:10:34,560 Speaker 1: he started. He said, I commit forty five million dollars 207 00:10:34,600 --> 00:10:37,120 Speaker 1: the day Trump got shot in the air the next morning, 208 00:10:37,559 --> 00:10:39,320 Speaker 1: and that's where he did start. And I remember he 209 00:10:39,360 --> 00:10:41,800 Speaker 1: was doing a million dollars a day for people to 210 00:10:42,400 --> 00:10:44,400 Speaker 1: sign up to vote, remember that. So he spent a 211 00:10:44,400 --> 00:10:46,839 Speaker 1: lot of money. And yeah, I'm not saying Trump won 212 00:10:46,880 --> 00:10:50,840 Speaker 1: because but I'm just saying there were buds. I hate this, 213 00:10:50,960 --> 00:10:53,560 Speaker 1: but go ahead, and I'm sorry. Yeah no. 214 00:10:53,840 --> 00:10:55,679 Speaker 4: And I was just going to add after the twenty 215 00:10:55,720 --> 00:10:59,040 Speaker 4: twenty election, when America was basically demoralized. 216 00:10:59,120 --> 00:11:01,760 Speaker 3: We were down, we gotten, the election was stolen. You 217 00:11:01,840 --> 00:11:05,440 Speaker 3: had January sixth. All of that, there were two people, 218 00:11:05,679 --> 00:11:06,559 Speaker 3: two people. 219 00:11:06,240 --> 00:11:08,600 Speaker 4: On Congress and I'm gonna name them, Margine Taylor Green 220 00:11:08,760 --> 00:11:09,560 Speaker 4: and Matt Gates. 221 00:11:09,640 --> 00:11:12,280 Speaker 3: Those two people went on the road and did kind 222 00:11:12,320 --> 00:11:13,120 Speaker 3: of a. 223 00:11:12,800 --> 00:11:17,600 Speaker 4: Save America road show of getting our energy back, getting 224 00:11:17,760 --> 00:11:20,960 Speaker 4: MAGA back, getting our chin and their head up after 225 00:11:21,000 --> 00:11:25,440 Speaker 4: we just were defeated. So to say that, you know, 226 00:11:25,520 --> 00:11:29,360 Speaker 4: Elon Musk won the election. He was big and helping 227 00:11:29,400 --> 00:11:32,640 Speaker 4: win the election obviously with his resources and just getting 228 00:11:32,679 --> 00:11:33,559 Speaker 4: behind the president. 229 00:11:33,920 --> 00:11:36,800 Speaker 3: But think of the millions of people that are watching. 230 00:11:36,480 --> 00:11:39,240 Speaker 4: Us right now, Eric that don't have the millions of 231 00:11:39,240 --> 00:11:41,800 Speaker 4: dollars to donate. They sent the five to ten dollars. 232 00:11:41,920 --> 00:11:44,120 Speaker 4: They went out and door knob, they put yard signs, 233 00:11:44,280 --> 00:11:47,440 Speaker 4: They did everything they could to help him win in 234 00:11:47,480 --> 00:11:51,040 Speaker 4: twenty twenty four. And so you know, my heart goes 235 00:11:51,040 --> 00:11:54,200 Speaker 4: out to those people. We fought too damn hard to 236 00:11:54,280 --> 00:11:56,120 Speaker 4: be in this White House to have this type of 237 00:11:56,480 --> 00:11:59,079 Speaker 4: dialogue going back and forth. And I'm sorry, I'm angry 238 00:11:59,240 --> 00:12:00,079 Speaker 4: because I am. 239 00:12:00,040 --> 00:12:03,240 Speaker 1: What would you make of folks? And I'll be honest 240 00:12:03,280 --> 00:12:04,960 Speaker 1: with you, I thought it was. I thought this was 241 00:12:05,000 --> 00:12:08,480 Speaker 1: some sort of stage, you know, theatrics going on early 242 00:12:08,559 --> 00:12:12,120 Speaker 1: when the tweets before they got like personal, and maybe 243 00:12:12,120 --> 00:12:16,160 Speaker 1: it was surrounding what Trump is trying to get accomplished 244 00:12:16,200 --> 00:12:19,680 Speaker 1: with the Senate, with the bill, maybe even who knows 245 00:12:19,720 --> 00:12:22,439 Speaker 1: start over, I don't know. It felt like something more. 246 00:12:22,480 --> 00:12:26,520 Speaker 1: I was missing something. But this viscerally, this is real, 247 00:12:26,600 --> 00:12:28,520 Speaker 1: I guess, Yeah, what are they saying there? 248 00:12:28,600 --> 00:12:30,480 Speaker 3: Yeah? 249 00:12:30,520 --> 00:12:32,920 Speaker 4: Well, I was spent some time in the briefing room 250 00:12:33,000 --> 00:12:34,400 Speaker 4: right before we came on the show, and I was 251 00:12:34,480 --> 00:12:36,120 Speaker 4: just trying to get the pulse of a few people 252 00:12:36,160 --> 00:12:39,199 Speaker 4: that were in there, and they are shocked that has 253 00:12:39,240 --> 00:12:42,520 Speaker 4: gone to this this degree, this personal degree. Now, I 254 00:12:42,520 --> 00:12:45,079 Speaker 4: don't understand this. We disagree on policy all the time. 255 00:12:45,120 --> 00:12:48,720 Speaker 4: There's Republicans that disagree on policy. There's obviously Democrats that 256 00:12:48,800 --> 00:12:51,679 Speaker 4: disagree with our policy. But when you go to a 257 00:12:51,720 --> 00:12:55,800 Speaker 4: personal level, when you especially you associate President Trump with 258 00:12:55,840 --> 00:12:59,120 Speaker 4: the Epstein files, that's on a different level. 259 00:12:59,200 --> 00:13:00,280 Speaker 3: And I don't no. 260 00:13:00,440 --> 00:13:03,840 Speaker 4: That's why I wish doctor Drew or somebody was here, 261 00:13:04,000 --> 00:13:06,560 Speaker 4: because these two individuals need to get the same room, 262 00:13:07,040 --> 00:13:09,160 Speaker 4: put it out on the table and say, look, this 263 00:13:09,200 --> 00:13:11,800 Speaker 4: is where we can't agree. This is where we can disagree, 264 00:13:11,840 --> 00:13:13,520 Speaker 4: and this is where this is the This is the 265 00:13:13,559 --> 00:13:15,720 Speaker 4: middle that needs to be work on. And that's what 266 00:13:15,840 --> 00:13:18,720 Speaker 4: needs to happen, Eric, because this country is the greatest 267 00:13:18,840 --> 00:13:21,640 Speaker 4: country on God's green Earth. And I think that Elon 268 00:13:21,800 --> 00:13:25,120 Speaker 4: Musk has contributed so much with his technologies, with his 269 00:13:25,200 --> 00:13:29,119 Speaker 4: inno vision, with all the with all you know Starlingk, 270 00:13:29,200 --> 00:13:34,319 Speaker 4: the SpaceX Tesla, all these things. President Trump is an innovator, 271 00:13:34,360 --> 00:13:36,840 Speaker 4: He is a peacemaker. He is the one that is 272 00:13:36,880 --> 00:13:39,360 Speaker 4: going to transform this country. We need them on the 273 00:13:39,400 --> 00:13:42,440 Speaker 4: same page. And right now seeing it unfold in front 274 00:13:42,440 --> 00:13:47,679 Speaker 4: of us in public on social media is disturbing. Now 275 00:13:47,679 --> 00:13:49,640 Speaker 4: there is an event going on right now in the 276 00:13:49,679 --> 00:13:52,400 Speaker 4: Oval Office. He has got a roundtable. I think it's 277 00:13:52,440 --> 00:13:55,920 Speaker 4: a hey, b eternal oil, Brian. I don't mean to 278 00:13:56,000 --> 00:13:57,720 Speaker 4: interrupt you, but we're we are going to take him 279 00:13:57,760 --> 00:13:59,839 Speaker 4: as on Q. He is sitting down right now with 280 00:14:00,080 --> 00:14:02,800 Speaker 4: see if he even references Brian, if you don't mind, 281 00:14:02,800 --> 00:14:04,520 Speaker 4: will stand by with you and listen to truck. 282 00:14:16,559 --> 00:14:21,240 Speaker 5: National Fraternal Order of Police Executive Board representing nearly four 283 00:14:21,320 --> 00:14:24,720 Speaker 5: hundred thousand officers nationwide. 284 00:14:24,000 --> 00:14:26,040 Speaker 2: And they were with me right from the beginning, and 285 00:14:26,200 --> 00:14:26,920 Speaker 2: we appreciate it. 286 00:14:26,960 --> 00:14:31,400 Speaker 5: We won't forget your members are the backbone of American 287 00:14:31,480 --> 00:14:35,480 Speaker 5: law enforcement, and we're deeply grateful for your service, and 288 00:14:35,520 --> 00:14:39,440 Speaker 5: you have done great service. Indeed, we're also joined by 289 00:14:39,480 --> 00:14:42,240 Speaker 5: our great Attorney General, Pam BONDI thank you, Pam. 290 00:14:42,440 --> 00:14:44,720 Speaker 2: Being here for generations, this. 291 00:14:44,760 --> 00:14:47,920 Speaker 5: Institution has served as a powerful voice for the brave 292 00:14:48,040 --> 00:14:52,360 Speaker 5: men and women who risk their lives to protect communities 293 00:14:52,400 --> 00:14:54,320 Speaker 5: all over our country, and they do it as well 294 00:14:54,320 --> 00:14:57,400 Speaker 5: as anybody or better. I was delighted to earn your 295 00:14:57,480 --> 00:15:00,920 Speaker 5: endorsement in every one of my presidential campaigns, where we 296 00:15:00,960 --> 00:15:04,720 Speaker 5: did very well, a record setting well, and I'm proud 297 00:15:04,760 --> 00:15:08,640 Speaker 5: to stand with you today as the most police president, 298 00:15:08,720 --> 00:15:12,920 Speaker 5: I would say, without question, in the history of America, 299 00:15:13,000 --> 00:15:15,080 Speaker 5: I don't think anybody has been more for the police 300 00:15:15,080 --> 00:15:18,040 Speaker 5: than I am. In recent years, far left radicals have 301 00:15:18,120 --> 00:15:22,640 Speaker 5: vilified and targeted our nation's police, with Marxist prosecutors and 302 00:15:22,760 --> 00:15:26,680 Speaker 5: soft on crime politicians making it impossible for you to 303 00:15:26,760 --> 00:15:29,120 Speaker 5: do your jobs and do them the way you want 304 00:15:29,160 --> 00:15:31,360 Speaker 5: to do them and only you know. 305 00:15:31,280 --> 00:15:32,400 Speaker 2: How to do them. 306 00:15:32,520 --> 00:15:36,280 Speaker 5: Under the Trump administration, those days are over. We're back 307 00:15:36,320 --> 00:15:39,120 Speaker 5: into men in blue, and we're back into blue. 308 00:15:39,280 --> 00:15:42,240 Speaker 2: Very honestly, we have some. 309 00:15:42,160 --> 00:15:44,480 Speaker 5: Of the greatest people in the country sitting right around 310 00:15:44,480 --> 00:15:47,800 Speaker 5: this table. We've ended the use of law fair against 311 00:15:47,800 --> 00:15:53,400 Speaker 5: police officers and terminated unjustified federal consent decrees. I signed 312 00:15:53,400 --> 00:15:57,320 Speaker 5: an executive order directing the Department of Justice to provide 313 00:15:57,400 --> 00:16:01,760 Speaker 5: legal protection and financial support for office is targeted by 314 00:16:01,920 --> 00:16:05,440 Speaker 5: very frivolous lawsuits. Oh, I know about frivolous lawsuits better 315 00:16:05,480 --> 00:16:07,840 Speaker 5: than you do. I can tell you I had my 316 00:16:07,960 --> 00:16:12,040 Speaker 5: share of them. I ordered other federal agencies to boost 317 00:16:12,040 --> 00:16:15,640 Speaker 5: funding for police recruitment, retention, and pay. And I've asked 318 00:16:15,640 --> 00:16:19,240 Speaker 5: Attorney General Bondie to pursue the death penalty for anyone 319 00:16:19,320 --> 00:16:23,000 Speaker 5: convicted of killing a police officer, which is very appropriate. 320 00:16:23,680 --> 00:16:27,000 Speaker 5: Upon taking office, I declared a national emergency on our 321 00:16:27,040 --> 00:16:30,600 Speaker 5: southern border, and we reduced the number of illegal border 322 00:16:30,600 --> 00:16:34,480 Speaker 5: crosses and released into the United States by. 323 00:16:34,760 --> 00:16:38,880 Speaker 2: Ninety nine point nine nine nine percent. You can't do 324 00:16:39,480 --> 00:16:40,360 Speaker 2: much better than that. 325 00:16:41,320 --> 00:16:44,800 Speaker 5: We've removed thousands of violent, criminal, illegal aliens from our 326 00:16:44,840 --> 00:16:49,680 Speaker 5: communities as part of the largest deportation effort in American history, 327 00:16:49,720 --> 00:16:52,880 Speaker 5: and just a few months into office, the national murder 328 00:16:52,960 --> 00:16:57,040 Speaker 5: rate has plummeted by twenty eight percent. It's going down 329 00:16:57,120 --> 00:17:00,960 Speaker 5: because of largely because of what you're doing. I'm also 330 00:17:01,040 --> 00:17:04,680 Speaker 5: deeply grateful to the National Fraternal Order Police for its 331 00:17:05,000 --> 00:17:10,280 Speaker 5: resounding endorsement of the One Big, Beautiful Bill, which is 332 00:17:10,320 --> 00:17:12,440 Speaker 5: moving along very nicely with great support. 333 00:17:12,880 --> 00:17:15,200 Speaker 2: It's a great bill. It's a bill that's going to cut. 334 00:17:15,080 --> 00:17:17,959 Speaker 5: Taxes more than any bill we've ever put in the 335 00:17:18,000 --> 00:17:18,960 Speaker 5: history of our country. 336 00:17:19,400 --> 00:17:21,080 Speaker 2: It's going to cut costs. 337 00:17:20,680 --> 00:17:24,119 Speaker 5: And expenses by one point six trillion dollars, which is 338 00:17:24,160 --> 00:17:28,080 Speaker 5: the biggest cut and expenses ever, and it's going to 339 00:17:28,119 --> 00:17:30,280 Speaker 5: do so many other things in Our country is doing 340 00:17:30,359 --> 00:17:34,000 Speaker 5: record business right now. Record investment is coming in clus 341 00:17:34,040 --> 00:17:37,359 Speaker 5: to fifteen trillion dollars has already committed to come in 342 00:17:37,440 --> 00:17:38,280 Speaker 5: for building new. 343 00:17:38,160 --> 00:17:39,800 Speaker 2: Plants and factories. 344 00:17:40,400 --> 00:17:44,520 Speaker 5: AI is Big Apples investing five hundred billion plus. 345 00:17:44,560 --> 00:17:45,600 Speaker 2: They're all coming in. 346 00:17:46,160 --> 00:17:49,720 Speaker 5: It's also includes the largest investment in border security in 347 00:17:49,760 --> 00:17:53,200 Speaker 5: our nation's history, equipping law enforcement with the tools to 348 00:17:53,280 --> 00:17:54,280 Speaker 5: stop the invasion. 349 00:17:54,720 --> 00:17:57,560 Speaker 2: I built a lot of wall, hundreds of miles of wall. 350 00:17:57,800 --> 00:17:59,879 Speaker 5: Now we're going to build some additional wall where we 351 00:18:00,320 --> 00:18:02,399 Speaker 5: feel we probably should build it. 352 00:18:02,480 --> 00:18:05,639 Speaker 2: After a little trial and error and we're going to. 353 00:18:05,800 --> 00:18:08,280 Speaker 5: End up building more wall than even I built, and 354 00:18:08,359 --> 00:18:10,479 Speaker 5: we built a lot. So I want to thank you 355 00:18:10,520 --> 00:18:13,520 Speaker 5: for your support, and now let's get the bill passed. 356 00:18:13,520 --> 00:18:16,040 Speaker 5: We want to get it passed through Congress without delay. 357 00:18:16,640 --> 00:18:19,000 Speaker 5: In everything we do, we will give our police the 358 00:18:19,080 --> 00:18:23,399 Speaker 5: respect and the protection and all of the resources that 359 00:18:23,440 --> 00:18:26,399 Speaker 5: you need. I did that, as you know, nobody wanted 360 00:18:26,400 --> 00:18:27,280 Speaker 5: to do it before me. 361 00:18:27,400 --> 00:18:28,880 Speaker 2: Where I gave you the. 362 00:18:28,840 --> 00:18:33,280 Speaker 5: Military equipment that was excess, they called it excess military equipment. 363 00:18:33,320 --> 00:18:35,439 Speaker 2: You know that very well. I think every one of 364 00:18:35,480 --> 00:18:36,760 Speaker 2: you benefited by that. 365 00:18:37,400 --> 00:18:40,960 Speaker 5: It was in warehouses, billions of dollars worth in warehouses 366 00:18:41,040 --> 00:18:44,879 Speaker 5: all over the country, and other presidents didn't want to give. 367 00:18:44,760 --> 00:18:46,879 Speaker 2: It to you. I did. Then we gave it to you, 368 00:18:46,920 --> 00:18:47,119 Speaker 2: and it. 369 00:18:47,160 --> 00:18:50,760 Speaker 5: Helped out a lot and saved a lot of police officers' lives. 370 00:18:51,040 --> 00:18:54,320 Speaker 5: I now like to ask Attorney General Pam Bondi to 371 00:18:54,320 --> 00:18:58,679 Speaker 5: say a few words, followed by FOP National President Patrick Ears, 372 00:18:58,720 --> 00:19:04,359 Speaker 5: and then Washington DC FOP Trustee Greg Pemberton and Vice 373 00:19:04,400 --> 00:19:08,320 Speaker 5: President of the Fraternal Order of Police Joe Gamali. 374 00:19:08,400 --> 00:19:10,920 Speaker 2: All great people. Thank you very much, Pam, thank you 375 00:19:11,040 --> 00:19:12,160 Speaker 2: very much, Thank. 376 00:19:11,920 --> 00:19:15,040 Speaker 6: You President, and thank you to the Faternal Order of 377 00:19:15,119 --> 00:19:19,440 Speaker 6: Police for being an unwavering voice for America's law enforcement. 378 00:19:20,160 --> 00:19:22,600 Speaker 7: We all know there is no ordinary day in the 379 00:19:22,640 --> 00:19:23,960 Speaker 7: life of a police officer. 380 00:19:24,240 --> 00:19:29,200 Speaker 6: Each day you leave your homes with complete uncertainty as 381 00:19:29,240 --> 00:19:32,560 Speaker 6: to who you will encounter and what happens. Each day, 382 00:19:33,119 --> 00:19:37,479 Speaker 6: you also stand on the front lines against cartels and 383 00:19:37,560 --> 00:19:42,600 Speaker 6: foreign terrorist organizations while fighting the horrors of illegal drug 384 00:19:42,680 --> 00:19:46,840 Speaker 6: and human trafficking. I was just in Poland this morning 385 00:19:47,119 --> 00:19:50,800 Speaker 6: and arrived back not even two hours ago, and you 386 00:19:51,040 --> 00:19:55,960 Speaker 6: have the respect of the entire world of law enforcement 387 00:19:56,560 --> 00:20:01,399 Speaker 6: around this world. They respect all of you so much. 388 00:20:01,840 --> 00:20:04,840 Speaker 6: Thank you for making all of us so proud on 389 00:20:04,920 --> 00:20:10,480 Speaker 6: the worldwide stage. President Trump's Justice Department will do everything 390 00:20:10,960 --> 00:20:12,000 Speaker 6: to protect you. 391 00:20:13,880 --> 00:20:15,359 Speaker 7: And to support. 392 00:20:15,080 --> 00:20:19,200 Speaker 6: All men and women who wear the badge in this country. 393 00:20:19,720 --> 00:20:23,119 Speaker 7: We are fully committed to ensuring our local law. 394 00:20:23,000 --> 00:20:27,920 Speaker 6: Enforcement officers have access to the resources, tools, and manpower 395 00:20:28,520 --> 00:20:32,560 Speaker 6: you need to do your jobs. That means boosting recruitment 396 00:20:32,640 --> 00:20:35,640 Speaker 6: and retention. We want the best and brightest to join 397 00:20:35,720 --> 00:20:38,000 Speaker 6: your ranks just like you, and we want them to 398 00:20:38,080 --> 00:20:41,440 Speaker 6: stay in your ranks. Last month, we announced one hundred 399 00:20:41,480 --> 00:20:44,960 Speaker 6: and fifty million, fifty seven million dollars in grant money 400 00:20:45,280 --> 00:20:49,400 Speaker 6: available for law enforcement agencies to hire police officers. Through 401 00:20:49,440 --> 00:20:53,200 Speaker 6: this funding, we anticipate nearly twelve hundred new officers we'll 402 00:20:53,240 --> 00:20:56,040 Speaker 6: be hired around the country. We're helping to pay for 403 00:20:56,160 --> 00:21:01,439 Speaker 6: police officers over time and supporting President Trump's no tax 404 00:21:01,560 --> 00:21:06,600 Speaker 6: on overtime. We've also made millions of dollars available for 405 00:21:06,800 --> 00:21:10,280 Speaker 6: mental health and wellness programs for you around this country. 406 00:21:10,520 --> 00:21:12,160 Speaker 7: We know how important that is. 407 00:21:12,600 --> 00:21:16,520 Speaker 6: We're aggressively prosecuting criminals who assault law enforcement officers. 408 00:21:16,760 --> 00:21:22,200 Speaker 7: We will not tolerate attacks on police officers. Since January, 409 00:21:22,200 --> 00:21:24,000 Speaker 7: the department has brought one hundred. 410 00:21:23,680 --> 00:21:27,560 Speaker 6: And thirty eight cases in thirty three states against defendants 411 00:21:27,600 --> 00:21:32,200 Speaker 6: who have assaulted our officers. Additionally, the DOJ will no 412 00:21:32,280 --> 00:21:37,960 Speaker 6: longer target police departments with bogus lawsuits and bogus investigations. 413 00:21:38,440 --> 00:21:41,639 Speaker 6: We are dismissing lawsuits followed by the Biden DOJ against 414 00:21:41,680 --> 00:21:46,960 Speaker 6: police departments in Louisville, Minneapolis, Albuquerque, and more. We're ending 415 00:21:47,040 --> 00:21:52,760 Speaker 6: meritless investigations into Phoenix, Trenton, New York City, Oklahoma, and elsewhere. 416 00:21:53,400 --> 00:21:56,080 Speaker 7: We're also ending consent decrees that. 417 00:21:56,040 --> 00:22:02,960 Speaker 6: Take control away from you, destroy morale, and increase violence. 418 00:22:03,720 --> 00:22:07,480 Speaker 7: Instead, we're working with local law enforcement to. 419 00:22:07,520 --> 00:22:10,040 Speaker 6: Give you the tools that you need to make our 420 00:22:10,080 --> 00:22:14,320 Speaker 6: streets safer. We believe in backing the blue, not just 421 00:22:14,440 --> 00:22:19,159 Speaker 6: in word, but in action. The Biden administration slandered you, 422 00:22:19,359 --> 00:22:24,520 Speaker 6: defunded you, and undermined your service, but we stand with you, 423 00:22:25,080 --> 00:22:27,040 Speaker 6: We honor you, and we will. 424 00:22:26,840 --> 00:22:29,840 Speaker 7: Not abandon you. Thank you. 425 00:22:30,119 --> 00:22:34,560 Speaker 6: On behalf of President Trump the Department of Justice, we 426 00:22:34,640 --> 00:22:38,720 Speaker 6: are one hundred percent committed to standing with our nation's 427 00:22:38,840 --> 00:22:39,720 Speaker 6: law enforcement. 428 00:22:39,920 --> 00:22:42,120 Speaker 7: God bless you and God bless America. 429 00:22:42,160 --> 00:22:47,080 Speaker 8: Thank you, Thanks maham this president first, thank you. Thank 430 00:22:47,119 --> 00:22:49,719 Speaker 8: you for not only your support for law enforcement as 431 00:22:49,720 --> 00:22:52,159 Speaker 8: a forty fifth president, but also you support as a 432 00:22:52,280 --> 00:22:54,720 Speaker 8: forty seventh president in all the years in between. You've 433 00:22:54,760 --> 00:22:58,800 Speaker 8: always been steadfast supporter of the Fraternal Latter Police and 434 00:22:58,920 --> 00:23:00,639 Speaker 8: law Enforcement Cross this car. I want you to know, 435 00:23:00,680 --> 00:23:02,560 Speaker 8: on behalf of our nearly four hundred thousand members, we 436 00:23:02,600 --> 00:23:05,399 Speaker 8: appreciate all that you do for us. With us today 437 00:23:05,760 --> 00:23:07,800 Speaker 8: is the members of our executive board. We also have 438 00:23:08,000 --> 00:23:11,960 Speaker 8: members of FOP unions in major cities across this country 439 00:23:12,000 --> 00:23:15,399 Speaker 8: which have some very serious problems that we're working with, 440 00:23:15,440 --> 00:23:18,560 Speaker 8: and we appreciate the opportunity to share with you some 441 00:23:18,600 --> 00:23:22,159 Speaker 8: of our views and work together on this. You know, 442 00:23:22,440 --> 00:23:24,119 Speaker 8: you made a promise to us, and I want to 443 00:23:24,160 --> 00:23:25,919 Speaker 8: start by saying this. You made a promise that you 444 00:23:25,960 --> 00:23:29,960 Speaker 8: were going to address overtime tax on overtime, and that 445 00:23:30,000 --> 00:23:33,880 Speaker 8: was a promise made in a new big bill. Big 446 00:23:33,920 --> 00:23:37,119 Speaker 8: new bill is certainly making good on that promise. We 447 00:23:37,240 --> 00:23:39,320 Speaker 8: thank you for that. You know, law enforcement officers, we 448 00:23:39,359 --> 00:23:42,640 Speaker 8: find ourselves in a very difficult position where we're having 449 00:23:42,680 --> 00:23:45,359 Speaker 8: a serious problem with recruiting and retention. As as you 450 00:23:45,400 --> 00:23:47,600 Speaker 8: pointed out, the problem is is that people who are 451 00:23:47,600 --> 00:23:49,720 Speaker 8: working right now working so many hours and they're forced 452 00:23:49,720 --> 00:23:51,840 Speaker 8: to work overtime, and now they have to tax liabilities 453 00:23:51,840 --> 00:23:54,919 Speaker 8: that are associated with being pushed into different tax brackets 454 00:23:54,960 --> 00:23:57,360 Speaker 8: because of being forced to work. Not only that they're 455 00:23:57,400 --> 00:23:58,919 Speaker 8: not getting to keep the money they are. And so 456 00:23:58,960 --> 00:24:02,600 Speaker 8: you and acruiting and retention standpoint. You show appreciation for 457 00:24:02,720 --> 00:24:04,879 Speaker 8: what we do, recognize what we do in the community. 458 00:24:04,960 --> 00:24:06,600 Speaker 8: I want you to know that we are We're proud 459 00:24:06,600 --> 00:24:08,960 Speaker 8: to support the bill. This is something that needs to 460 00:24:08,960 --> 00:24:11,120 Speaker 8: be happening. I promise that you made and we appreciate 461 00:24:11,160 --> 00:24:13,359 Speaker 8: you carrying through with it and know that we're a 462 00:24:13,440 --> 00:24:17,400 Speaker 8: partner in it. You also made a number of other 463 00:24:18,200 --> 00:24:20,240 Speaker 8: promises to us, and promises. 464 00:24:19,720 --> 00:24:20,760 Speaker 1: Made that we appreciate. 465 00:24:20,800 --> 00:24:23,440 Speaker 8: I want to start with one of our first people 466 00:24:23,520 --> 00:24:25,800 Speaker 8: that like to recognize you promised it and here here 467 00:24:25,800 --> 00:24:28,240 Speaker 8: we are on our nation's capital, a rebottalized in the 468 00:24:28,320 --> 00:24:30,960 Speaker 8: city and making it safe again. And no one knows 469 00:24:31,000 --> 00:24:32,640 Speaker 8: that better than a person who lives it every day 470 00:24:32,640 --> 00:24:35,240 Speaker 8: and leads the officers in the Metropolitan Police Department, in 471 00:24:35,280 --> 00:24:37,120 Speaker 8: the Labor Union and Greg Pemberton. 472 00:24:37,119 --> 00:24:38,560 Speaker 1: And I'll ask Greg to say a few words. 473 00:24:39,000 --> 00:24:41,000 Speaker 9: Thank you, Pat, and thank you mister President for having us. 474 00:24:41,920 --> 00:24:44,240 Speaker 9: My name is Greg Pemberton. I represent three thousand police 475 00:24:44,240 --> 00:24:46,440 Speaker 9: officers that work here for the Metropolitan Police Department in 476 00:24:46,560 --> 00:24:50,240 Speaker 9: Washington DC. The crisis that we're facing, which frankly is 477 00:24:50,280 --> 00:24:53,439 Speaker 9: more of a calamity, is a staffing crisis. We are 478 00:24:53,480 --> 00:24:56,720 Speaker 9: authorized to have four thousand sworn police officers here in 479 00:24:56,760 --> 00:24:59,040 Speaker 9: the nation's capital. Unfortunately, as of today, we only have 480 00:24:59,080 --> 00:25:02,760 Speaker 9: three one hundre ninety over eight hundred vacancies that we 481 00:25:02,800 --> 00:25:04,720 Speaker 9: have here for this Mutro Poldo Police Department. And the 482 00:25:04,720 --> 00:25:07,560 Speaker 9: worst part is that over the past five years we've 483 00:25:07,600 --> 00:25:10,080 Speaker 9: lost We've had a net loss of six hundred police 484 00:25:10,119 --> 00:25:14,240 Speaker 9: officers who've just left this agency in a mass exodus. 485 00:25:14,280 --> 00:25:17,119 Speaker 9: And the reason for that is that our city Council 486 00:25:17,160 --> 00:25:19,680 Speaker 9: here in the District of Columbia has passed layers and 487 00:25:19,760 --> 00:25:22,679 Speaker 9: layers and layers of legislation that prohibits our officers from 488 00:25:22,720 --> 00:25:25,520 Speaker 9: being able to do their job. It exposes our members 489 00:25:25,520 --> 00:25:29,320 Speaker 9: to administrative, civil, and even criminal liability even when they 490 00:25:29,320 --> 00:25:31,680 Speaker 9: go out and do their job properly. It has also 491 00:25:31,720 --> 00:25:34,640 Speaker 9: stripped our members of their labor protections to fight off 492 00:25:34,720 --> 00:25:38,919 Speaker 9: these frivolous complaints and these erroneous allegations of misconduct. It 493 00:25:39,000 --> 00:25:41,840 Speaker 9: all makes for an environment that's almost impossible to keep 494 00:25:41,880 --> 00:25:45,719 Speaker 9: these staffing levels what they need to be. Frankly, Miss President, 495 00:25:45,760 --> 00:25:48,359 Speaker 9: I think the nation's capital, the District of Columbia, is 496 00:25:48,400 --> 00:25:50,879 Speaker 9: not just a city of seven hundred thousand residents. This 497 00:25:51,040 --> 00:25:53,720 Speaker 9: is the nation's capital, and it belongs to everybody. It 498 00:25:53,760 --> 00:25:56,680 Speaker 9: belongs to every American. It should be a safe city. 499 00:25:56,680 --> 00:25:59,399 Speaker 9: It should be a pinnacle of American society. It should 500 00:25:59,440 --> 00:26:02,320 Speaker 9: represent the freedom and democracy that we all cherish so much, 501 00:26:02,880 --> 00:26:05,200 Speaker 9: and anybody should be free to come here and experience 502 00:26:05,280 --> 00:26:07,520 Speaker 9: that and see what it is that we are here 503 00:26:07,560 --> 00:26:10,760 Speaker 9: in this country, and the sanctity and safety of this 504 00:26:10,920 --> 00:26:13,000 Speaker 9: the District of Columbia shouldn't be left in the hands 505 00:26:13,680 --> 00:26:20,720 Speaker 9: of a city council that subscribes to these radical ideologies 506 00:26:20,760 --> 00:26:24,159 Speaker 9: that we all know are failed and that we have 507 00:26:24,240 --> 00:26:26,880 Speaker 9: the empirical data that it doesn't work. It only increases 508 00:26:26,920 --> 00:26:30,120 Speaker 9: crime and makes cities more dangerous. I want to thank 509 00:26:30,160 --> 00:26:33,240 Speaker 9: you for creating the DC Safe and Beautiful Task Force. 510 00:26:33,440 --> 00:26:35,240 Speaker 9: I've met with Oraville Green. I find him to be 511 00:26:35,280 --> 00:26:38,000 Speaker 9: phenomenally qualified to help us out of this mess. I 512 00:26:38,040 --> 00:26:39,960 Speaker 9: also want to thank you for the appointment of Jeanine 513 00:26:40,000 --> 00:26:44,199 Speaker 9: Piro for the USAO position of DC. I've met with 514 00:26:44,240 --> 00:26:46,720 Speaker 9: her recently and I found her plan to solve and 515 00:26:46,760 --> 00:26:49,480 Speaker 9: tackle a number of these problems very promising, very optimistic. 516 00:26:50,240 --> 00:26:52,840 Speaker 9: So the three thousand police officers stand at the ready, 517 00:26:53,200 --> 00:26:55,879 Speaker 9: mister President, to help you make DC great again and 518 00:26:55,920 --> 00:26:58,120 Speaker 9: hopefully we can solve some of these problems and fix 519 00:26:58,200 --> 00:26:59,760 Speaker 9: crime here in the nation's capital. 520 00:27:01,800 --> 00:27:03,640 Speaker 2: Very much as President. 521 00:27:05,920 --> 00:27:08,200 Speaker 8: A topic of the day, pretty much every day now 522 00:27:08,280 --> 00:27:12,399 Speaker 8: is the unmitigated disaster that has created in cities across 523 00:27:12,400 --> 00:27:16,080 Speaker 8: this country with the open borders and all the problems 524 00:27:16,080 --> 00:27:17,840 Speaker 8: that it has done for quality of life. It's done 525 00:27:17,840 --> 00:27:20,280 Speaker 8: for safety within our community, safety of the officers of 526 00:27:20,280 --> 00:27:22,240 Speaker 8: work in the communities. And you've been a big, great 527 00:27:22,240 --> 00:27:25,399 Speaker 8: advocate of putting us back together. And I'd like to 528 00:27:25,440 --> 00:27:28,200 Speaker 8: al ask our Vice President Jogomaldi to touch. 529 00:27:28,000 --> 00:27:29,600 Speaker 2: On President Trump. 530 00:27:29,640 --> 00:27:31,640 Speaker 10: I think I'd be remiss if I didn't start by 531 00:27:31,680 --> 00:27:35,080 Speaker 10: saying thank you, thank you for the incredible efforts by 532 00:27:35,080 --> 00:27:38,199 Speaker 10: you and your administration to deport these people who have 533 00:27:38,280 --> 00:27:41,320 Speaker 10: come to our country illegally and then refuse to follow. 534 00:27:41,040 --> 00:27:44,400 Speaker 11: The very laws that we hold so sacred. Our officers, 535 00:27:44,520 --> 00:27:47,720 Speaker 11: especially in sanctuary cities, are tired of arresting the same 536 00:27:47,840 --> 00:27:51,080 Speaker 11: people over and over again who never should have been 537 00:27:51,080 --> 00:27:54,920 Speaker 11: here in the first place. We have lost friends, co workers, 538 00:27:55,359 --> 00:27:59,879 Speaker 11: unimaginable trauma to American citizens and families, and the most frustrating, 539 00:28:00,200 --> 00:28:03,240 Speaker 11: from a law enforcement perspective, what it was one hundred 540 00:28:03,320 --> 00:28:07,879 Speaker 11: percent avoidable. And now we have judges who are standing 541 00:28:07,920 --> 00:28:14,080 Speaker 11: up for gang members, murderers, robbers, rapists, blocking deportations, obstructing 542 00:28:14,119 --> 00:28:15,840 Speaker 11: the very will of the American people. 543 00:28:16,480 --> 00:28:17,520 Speaker 2: It's a disgrace. 544 00:28:18,119 --> 00:28:20,199 Speaker 11: And if they had a shred of integrity, which I 545 00:28:20,240 --> 00:28:22,760 Speaker 11: assume they don't, they would resign in. 546 00:28:22,720 --> 00:28:24,200 Speaker 3: Shame for what they're doing right now. 547 00:28:24,560 --> 00:28:26,440 Speaker 11: But I would just ask that you continue to work 548 00:28:26,440 --> 00:28:29,119 Speaker 11: with us, continue to support with us, so that we 549 00:28:29,160 --> 00:28:32,399 Speaker 11: can partner with all of our great federal agencies out there, 550 00:28:32,600 --> 00:28:36,159 Speaker 11: continue to carry out this mission. And again, thank you 551 00:28:36,359 --> 00:28:40,000 Speaker 11: for securing the border and once again making our country 552 00:28:40,200 --> 00:28:41,080 Speaker 11: one of law and order. 553 00:28:41,920 --> 00:28:43,640 Speaker 2: Thank you very much, very nice. 554 00:28:44,920 --> 00:28:45,240 Speaker 3: It's ok. 555 00:28:45,240 --> 00:28:45,400 Speaker 2: Good. 556 00:28:45,680 --> 00:28:50,160 Speaker 5: Yes, we're going to have a little discussion now, very private, 557 00:28:50,920 --> 00:28:52,760 Speaker 5: and I just want to thank you for being here 558 00:28:52,800 --> 00:28:53,720 Speaker 5: and thank you very much. 559 00:28:53,760 --> 00:28:59,960 Speaker 2: Media appreciate it. Thank you very much. 560 00:29:10,240 --> 00:29:12,560 Speaker 1: Okay, folks, they cut off the audio. We didn't do that. 561 00:29:12,680 --> 00:29:16,560 Speaker 1: The pool again, the pool rotates. They take the shot. 562 00:29:16,800 --> 00:29:18,600 Speaker 1: If he says something, they're gonna take it if they 563 00:29:18,640 --> 00:29:20,400 Speaker 1: if he starts to talk again, I'm sure that the 564 00:29:20,440 --> 00:29:23,520 Speaker 1: pool jump and we shall jump into it, do we do. 565 00:29:23,560 --> 00:29:28,000 Speaker 1: We have Brian Glenn standing by. All right, Okay, so 566 00:29:28,200 --> 00:29:30,719 Speaker 1: b you heard it, and then you know you and 567 00:29:30,720 --> 00:29:32,800 Speaker 1: I've known this guy. I've known him a very long time, 568 00:29:33,440 --> 00:29:37,160 Speaker 1: and he was a subdued Donald Trump. I think he's 569 00:29:37,280 --> 00:29:40,840 Speaker 1: this this elon feud is weighing heavily on him, as 570 00:29:40,920 --> 00:29:43,080 Speaker 1: we as I saw right there. I mean, you know 571 00:29:43,720 --> 00:29:46,400 Speaker 1: these are these events in the East Room and in 572 00:29:46,400 --> 00:29:48,840 Speaker 1: the White House. He loves these. He knows the cameras 573 00:29:48,880 --> 00:29:51,040 Speaker 1: are rolling this one. He cut it very very short. 574 00:29:51,040 --> 00:29:53,840 Speaker 1: Your thoughts on did you see anything? Would you agree 575 00:29:53,840 --> 00:29:55,800 Speaker 1: with me or disagree with me that that the Elon 576 00:29:56,000 --> 00:29:57,280 Speaker 1: Fuld was in his mind? 577 00:29:59,080 --> 00:30:01,720 Speaker 4: You could tell something on his mind. I agree with 578 00:30:01,760 --> 00:30:05,240 Speaker 4: you one Hundercent's he was engaged in what was going 579 00:30:05,280 --> 00:30:07,320 Speaker 4: on that. I don't want to discredit that. He obviously 580 00:30:07,440 --> 00:30:10,280 Speaker 4: is a big supporter of police and they love him 581 00:30:10,320 --> 00:30:16,320 Speaker 4: and he absolutely is behind that. But knowing what we 582 00:30:16,400 --> 00:30:18,400 Speaker 4: know and what the world knows, you can't help but 583 00:30:18,440 --> 00:30:20,880 Speaker 4: think that is on his mind right now. 584 00:30:21,200 --> 00:30:23,280 Speaker 3: This should be issued number one. 585 00:30:23,400 --> 00:30:27,280 Speaker 4: I mean, really, any phone call with China or Russia, 586 00:30:27,400 --> 00:30:32,920 Speaker 4: Ukraine conflict or anything that's secondary compared to the making 587 00:30:32,960 --> 00:30:36,960 Speaker 4: sure this country is somewhat unified and we can move 588 00:30:37,560 --> 00:30:39,240 Speaker 4: the legislation that needs to go forward. 589 00:30:39,400 --> 00:30:40,680 Speaker 3: Eric that fun stuff. 590 00:30:40,840 --> 00:30:44,760 Speaker 4: People need to be reminded that if his twenty seventeen 591 00:30:44,840 --> 00:30:48,200 Speaker 4: tax cuts, if we don't get them in this bill, 592 00:30:48,200 --> 00:30:50,240 Speaker 4: which I don't think there's a problem that they won't 593 00:30:50,280 --> 00:30:54,000 Speaker 4: be but everyone's taxes will go up, probably around sixty percent. 594 00:30:54,000 --> 00:30:57,440 Speaker 4: There's a lot of seriousness that's happening right now. It 595 00:30:57,520 --> 00:30:59,480 Speaker 4: is interesting to watch some of the media I've been 596 00:30:59,880 --> 00:31:03,000 Speaker 4: just kind of observing in the last twenty minutes of 597 00:31:03,080 --> 00:31:05,680 Speaker 4: just kind of walking around and this is, indeed eric 598 00:31:06,120 --> 00:31:09,360 Speaker 4: the biggest story right now. Go turn on any major 599 00:31:09,640 --> 00:31:13,720 Speaker 4: legacy network. They're talking about this Elon Musk Trump feud. 600 00:31:14,480 --> 00:31:17,360 Speaker 4: I am seeing some tweets online that said that this 601 00:31:17,400 --> 00:31:20,560 Speaker 4: is not the first time that Elon Musk has, you know, 602 00:31:21,440 --> 00:31:25,640 Speaker 4: used that type of language towards somebody incorrectly. So I 603 00:31:25,680 --> 00:31:27,600 Speaker 4: want to go back to our original thought on this, 604 00:31:27,760 --> 00:31:30,920 Speaker 4: that maybe this is one of those emotional moments that 605 00:31:31,040 --> 00:31:33,840 Speaker 4: we just want to disagree with somebody and we say 606 00:31:33,840 --> 00:31:35,200 Speaker 4: something that we really don't mean. 607 00:31:35,360 --> 00:31:37,440 Speaker 1: Well, we know it's not I want to be I 608 00:31:37,440 --> 00:31:39,560 Speaker 1: wanted to be optimistic like that too. I want mom 609 00:31:39,600 --> 00:31:42,400 Speaker 1: and dad not to divorce too. But that though, could 610 00:31:42,400 --> 00:31:45,080 Speaker 1: happen in the minute that we were listening to Trump. 611 00:31:45,400 --> 00:31:48,280 Speaker 1: Ben pull that, uh, Ben, if you guys have that 612 00:31:48,520 --> 00:31:51,560 Speaker 1: that tweet that Elon Musk. He was referring to Donald 613 00:31:51,600 --> 00:31:54,360 Speaker 1: Trump's tweet that said he is just east way to 614 00:31:54,400 --> 00:31:57,480 Speaker 1: say money and our budget billions and billions of dollars 615 00:31:57,520 --> 00:32:01,600 Speaker 1: is to terminate Elon's governmental and contracts. And again I 616 00:32:01,680 --> 00:32:04,600 Speaker 1: point out that Trump used Elon's name, not the name 617 00:32:04,640 --> 00:32:08,320 Speaker 1: of the companies who are getting the subsidies, because they're companies. 618 00:32:08,320 --> 00:32:11,800 Speaker 1: But look what Elon tweeted back. He said, in light 619 00:32:11,840 --> 00:32:17,280 Speaker 1: of the President's statement about cancelation of my government contracts, 620 00:32:17,320 --> 00:32:23,720 Speaker 1: SpaceX will begin decommissioning its Dragon spacecraft immediately. That is 621 00:32:23,760 --> 00:32:27,520 Speaker 1: a very big setback for NASA. That that joint venture 622 00:32:27,560 --> 00:32:31,240 Speaker 1: between NASA and SpaceX was very very good for both sides. 623 00:32:31,280 --> 00:32:34,520 Speaker 1: It's a public private relationship that is very good for 624 00:32:34,960 --> 00:32:37,680 Speaker 1: both sides. They'll feel it. NASA and I always have 625 00:32:37,720 --> 00:32:41,120 Speaker 1: to wonder this NASA pick that Elon Musk wanted. He remember, 626 00:32:41,120 --> 00:32:44,920 Speaker 1: he wanted the NASA administrator like his name escapes me 627 00:32:45,000 --> 00:32:47,160 Speaker 1: right now, and Trump pushed him back out and said no, 628 00:32:47,560 --> 00:32:50,360 Speaker 1: and then Elon left. I wonder if this is part 629 00:32:50,400 --> 00:32:51,880 Speaker 1: of this ongoing feud. 630 00:32:54,000 --> 00:32:55,720 Speaker 4: Yeah, no, it has to be a part of it, 631 00:32:55,720 --> 00:32:58,360 Speaker 4: I would think. And one of the easy solutions would 632 00:32:58,360 --> 00:33:01,080 Speaker 4: be just make Elon and yards of NASA too, and 633 00:33:01,120 --> 00:33:03,240 Speaker 4: just say, Okay, he got space X, you got NASA, 634 00:33:03,560 --> 00:33:04,160 Speaker 4: Go have fun. 635 00:33:04,600 --> 00:33:05,560 Speaker 3: Bring us back to the moon. 636 00:33:05,600 --> 00:33:08,239 Speaker 4: Which I was from nunderstand they're working on that, they 637 00:33:08,280 --> 00:33:10,400 Speaker 4: are returning they. 638 00:33:10,240 --> 00:33:13,480 Speaker 1: Are, Yeah, I mean that would I'll jump down very quickly. 639 00:33:13,560 --> 00:33:16,280 Speaker 1: NASA is Artemis. Artemis is the NASA project to get 640 00:33:16,320 --> 00:33:18,720 Speaker 1: back to the Moon. Elon Musk is looking to go 641 00:33:18,760 --> 00:33:21,200 Speaker 1: to Mars. The two of them are working together. It 642 00:33:21,240 --> 00:33:23,680 Speaker 1: was a perfect It was a marriage made in evens, 643 00:33:23,680 --> 00:33:26,120 Speaker 1: so to speak, at least for the space industry. But 644 00:33:26,520 --> 00:33:27,080 Speaker 1: I digress. 645 00:33:27,120 --> 00:33:30,680 Speaker 4: Go ahead, Sorry, yeah, no, I was just going to say, 646 00:33:30,680 --> 00:33:32,200 Speaker 4: I mean, that's what everyone we're talking about. I can 647 00:33:32,280 --> 00:33:35,239 Speaker 4: imagine in my lifetime. I was born in nineteen sixty nine. 648 00:33:35,280 --> 00:33:38,280 Speaker 4: I didn't get to witness that, but I would witness 649 00:33:38,320 --> 00:33:39,760 Speaker 4: it now if it happened again. 650 00:33:39,840 --> 00:33:42,800 Speaker 3: So it is a step back, I think in space exploration. 651 00:33:42,960 --> 00:33:44,240 Speaker 3: And but I'll go back. 652 00:33:44,720 --> 00:33:47,120 Speaker 4: It still has this you know, America has got this 653 00:33:47,320 --> 00:33:49,920 Speaker 4: tone right now that we should not have the two 654 00:33:50,320 --> 00:33:53,640 Speaker 4: most powerful people in the I mean eric that building 655 00:33:53,720 --> 00:33:56,640 Speaker 4: right there, the White House, that is the center of 656 00:33:56,680 --> 00:34:00,920 Speaker 4: the universe, and the policy that come out of the 657 00:34:00,960 --> 00:34:05,480 Speaker 4: White House with President Trump, send massive earthquakes across this 658 00:34:06,080 --> 00:34:08,600 Speaker 4: globally economically can change the world. 659 00:34:08,640 --> 00:34:11,640 Speaker 3: He can bring peace. He could start wars that type 660 00:34:11,680 --> 00:34:12,440 Speaker 3: of influence. 661 00:34:12,800 --> 00:34:16,080 Speaker 4: And so we have two powerful people at each other's 662 00:34:16,080 --> 00:34:16,879 Speaker 4: throats like they are. 663 00:34:17,000 --> 00:34:18,080 Speaker 3: It's not a good thing. 664 00:34:18,200 --> 00:34:21,359 Speaker 1: So if I may I hate maybe if I'm the. 665 00:34:21,320 --> 00:34:25,320 Speaker 4: Bleeding art liberal that's saying let's all get together, I'm saying. 666 00:34:25,200 --> 00:34:27,480 Speaker 1: Number one, it pisses me off that the left is 667 00:34:27,520 --> 00:34:29,439 Speaker 1: going to run with this. It's like there's some sort 668 00:34:29,480 --> 00:34:32,600 Speaker 1: of major risks in maga or I hate that, but 669 00:34:32,880 --> 00:34:34,600 Speaker 1: you know what, they deserve to do it because it 670 00:34:34,920 --> 00:34:38,359 Speaker 1: for all appearances, it looks like they may be right 671 00:34:38,400 --> 00:34:39,960 Speaker 1: with that. So that bothers me. But I will tell you, 672 00:34:40,160 --> 00:34:42,400 Speaker 1: right that building, right behind you, that grounds you're standing on, 673 00:34:42,440 --> 00:34:45,960 Speaker 1: our sacred they're hallowed, they're powerful. Donald Trump's the president. 674 00:34:45,960 --> 00:34:48,759 Speaker 1: He's the president of this country, is basically the most 675 00:34:48,800 --> 00:34:53,400 Speaker 1: powerful man on the planet. Elon did a great service, 676 00:34:53,520 --> 00:34:57,320 Speaker 1: is doing a great service to conservatives, to Trump, to everyone. 677 00:34:57,800 --> 00:35:00,960 Speaker 1: But he's not bigger or powerful, more powerful than a 678 00:35:01,080 --> 00:35:03,360 Speaker 1: Trump or be the office of president of the United States. 679 00:35:03,400 --> 00:35:06,600 Speaker 1: So we thank Elon. I hope they do get their 680 00:35:06,640 --> 00:35:11,200 Speaker 1: act together. But he's gotta he's gotta let Trump be Trump. 681 00:35:11,239 --> 00:35:14,440 Speaker 1: You can't. You can be a first bro, but you 682 00:35:14,520 --> 00:35:17,920 Speaker 1: can't be de facto president. Final thought on that. Uh, 683 00:35:18,560 --> 00:35:20,160 Speaker 1: quick thought, Brian, final thought. 684 00:35:21,120 --> 00:35:24,839 Speaker 4: Quick well, find final thought, and I one agree with you. 685 00:35:25,600 --> 00:35:28,279 Speaker 4: I think perhaps said tomorrow, let's see what the new 686 00:35:28,360 --> 00:35:31,759 Speaker 4: cycle looks like overnight. And Uh, the bottom line, that 687 00:35:31,920 --> 00:35:34,799 Speaker 4: big beautiful bill, it's got to get worked out. It's 688 00:35:34,840 --> 00:35:36,480 Speaker 4: gotta go to the Senate, gonna take some things out, 689 00:35:36,480 --> 00:35:38,719 Speaker 4: come back to the House. Uh, don't get a chance 690 00:35:38,760 --> 00:35:41,040 Speaker 4: to phone on it again. Uh, and let's just move 691 00:35:41,080 --> 00:35:42,719 Speaker 4: forward there, Goud. I appreciate you having me on. 692 00:35:42,680 --> 00:35:45,840 Speaker 1: It, Brian Glenn, rockstar ads always jumped to the camera, 693 00:35:45,920 --> 00:35:48,960 Speaker 1: got it going, and we get the best flavor of 694 00:35:49,000 --> 00:35:52,480 Speaker 1: any any certainly any White House correspondent reporter. Thank you, Brian. 695 00:35:52,520 --> 00:35:54,799 Speaker 1: I appreciate your time. Thank you. All right, folks, Trump 696 00:35:54,800 --> 00:35:57,920 Speaker 1: administration trying to move mountains at the speed of light. However, 697 00:35:58,000 --> 00:36:00,080 Speaker 1: when they're trying to right the country, they can and 698 00:36:00,080 --> 00:36:03,680 Speaker 1: also take your personal finances into account. You have to 699 00:36:03,760 --> 00:36:06,680 Speaker 1: do that. You should and that's why thousands of Americans 700 00:36:06,719 --> 00:36:10,080 Speaker 1: are buying gold right now from who are friends at 701 00:36:10,080 --> 00:36:13,200 Speaker 1: Birch Gold. These folks are awesome. I've dealt with so 702 00:36:13,280 --> 00:36:16,040 Speaker 1: many gold companies. Birch Gold by far the best here. 703 00:36:16,040 --> 00:36:18,480 Speaker 1: Of the facts. In the past twelve months, the value 704 00:36:18,480 --> 00:36:21,880 Speaker 1: of gold has increased by thirty percent. That's one year. Folks. 705 00:36:22,200 --> 00:36:24,240 Speaker 1: Name one other thing that's going up by thirty percent 706 00:36:24,239 --> 00:36:27,880 Speaker 1: of a year besides food prices. Central banks are buying 707 00:36:27,920 --> 00:36:31,400 Speaker 1: gold in record quantities, so demand doesn't seem to be subsiding. 708 00:36:31,680 --> 00:36:34,520 Speaker 1: And the real reset is on the horizon. We told 709 00:36:34,560 --> 00:36:37,000 Speaker 1: you about that one where bricks nations are looking to 710 00:36:37,080 --> 00:36:39,759 Speaker 1: unsee the US dollar as the global reserve currency. That 711 00:36:39,800 --> 00:36:42,880 Speaker 1: would hurt, That would be bad for our savings. But 712 00:36:43,080 --> 00:36:45,719 Speaker 1: you can find piece of buying in gold. Birch Gold 713 00:36:45,800 --> 00:36:49,000 Speaker 1: makes it extremely easy to convert an existing IRA or 714 00:36:49,000 --> 00:36:52,160 Speaker 1: four h one k into attack sheltered IRA in physical, 715 00:36:52,560 --> 00:36:57,680 Speaker 1: actual physical gold. Or you can even buy some coins 716 00:36:57,760 --> 00:37:00,320 Speaker 1: and gold bars to store in your home safe. Text 717 00:37:00,360 --> 00:37:03,319 Speaker 1: the word America to nine eight nine eight nine eight 718 00:37:03,320 --> 00:37:05,960 Speaker 1: and Birch Gold will send you a free infocad on gold. 719 00:37:06,000 --> 00:37:09,719 Speaker 1: There's no obligation, only useful information. By the way, with 720 00:37:09,719 --> 00:37:12,080 Speaker 1: an A plus rating with a better business bureau and 721 00:37:12,120 --> 00:37:16,120 Speaker 1: tens of thousands of happy customers, take control of protecting 722 00:37:16,200 --> 00:37:20,759 Speaker 1: your savings your assets today. Text the word America to 723 00:37:21,280 --> 00:37:25,040 Speaker 1: nine eight nine eight nine eight and before we had 724 00:37:25,040 --> 00:37:27,280 Speaker 1: the break. Just want to remind you about podcasting. YouTube 725 00:37:27,280 --> 00:37:30,200 Speaker 1: page updated daily. You can hear the show, this show, 726 00:37:30,280 --> 00:37:33,279 Speaker 1: tons of other stuff. Just do me favorite subscribe to 727 00:37:33,320 --> 00:37:36,200 Speaker 1: one of those by Spotlight means, Apple, Crumble, etcetera. We'll 728 00:37:36,239 --> 00:37:52,000 Speaker 1: be back in two and a half minutes. I'm mad dog. 729 00:37:52,360 --> 00:37:55,160 Speaker 1: You can jump on the horn. Can you hear me? Yes, sir, 730 00:37:55,680 --> 00:37:58,040 Speaker 1: I'm not a little sad. I mean it's a beautiful 731 00:37:58,040 --> 00:38:01,279 Speaker 1: shot of Washington Capital. A little sad what's going on 732 00:38:01,360 --> 00:38:04,480 Speaker 1: there about this zelon Trump thing? Really kind of It 733 00:38:04,560 --> 00:38:07,080 Speaker 1: is a beautiful shop, a beautiful shop, but it saddens 734 00:38:07,120 --> 00:38:08,440 Speaker 1: me that these two are fighting like this. 735 00:38:08,640 --> 00:38:09,160 Speaker 3: I don't like it. 736 00:38:09,200 --> 00:38:12,200 Speaker 1: Don't like it one bit, folks. 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All right, Washington 761 00:39:31,560 --> 00:39:34,879 Speaker 1: buzzing right now or you know Elon and Trump's few 762 00:39:34,920 --> 00:39:37,160 Speaker 1: But also let's not forget loose sight of the big 763 00:39:37,239 --> 00:39:40,640 Speaker 1: beautiful bill the BBB. I guess everyone decided to wait 764 00:39:40,680 --> 00:39:43,000 Speaker 1: a little while before making a massive deal about this 765 00:39:43,040 --> 00:39:46,000 Speaker 1: because we all knew the bill was coming. We all know. 766 00:39:46,160 --> 00:39:48,080 Speaker 1: Yet it wasn't until a few days ago that everyone 767 00:39:48,120 --> 00:39:51,600 Speaker 1: started fighting over it. I guess when it met. When 768 00:39:51,640 --> 00:39:54,440 Speaker 1: it passed the House, it got real for the left, 769 00:39:54,480 --> 00:39:57,720 Speaker 1: so they started ramping it up. First it was Elon, 770 00:39:57,840 --> 00:40:00,480 Speaker 1: then Ram Paul, which led to Trump to and now 771 00:40:00,600 --> 00:40:04,360 Speaker 1: Chucky Schumer. Just watch this nonsense, and we all know 772 00:40:04,440 --> 00:40:04,879 Speaker 1: one thing. 773 00:40:05,680 --> 00:40:10,520 Speaker 12: Donald Trump is just lying about the bill. Lying about 774 00:40:10,560 --> 00:40:15,440 Speaker 12: the bill. Well, here's the we are all going to 775 00:40:15,600 --> 00:40:16,920 Speaker 12: buy Act. 776 00:40:16,760 --> 00:40:20,440 Speaker 1: We're all going to die Act. That was a little 777 00:40:20,960 --> 00:40:24,239 Speaker 1: I don't all hyperbolic, Chuck Schumer, Well I do. I 778 00:40:24,239 --> 00:40:26,800 Speaker 1: think you're nuts, Chucky. When Chuckie Schumer isn't telling everyone 779 00:40:26,840 --> 00:40:29,120 Speaker 1: that we're all going to die because of a spending bill, 780 00:40:29,480 --> 00:40:33,160 Speaker 1: he's raising awareness about the illegals that are tax dollars 781 00:40:33,440 --> 00:40:37,880 Speaker 1: no longer pay for watch roughly one point four million 782 00:40:38,120 --> 00:40:41,919 Speaker 1: illegal immigrants losing their coverage. 783 00:40:41,640 --> 00:40:43,320 Speaker 13: Under state funded health programs. 784 00:40:43,880 --> 00:40:47,680 Speaker 1: Is reducing federal Medicaid payments to states that provide coverage 785 00:40:47,719 --> 00:40:51,440 Speaker 1: to undocumented immigrants a reform book. 786 00:40:51,560 --> 00:40:54,680 Speaker 14: The bottom line is, this overall bill is so awful. 787 00:40:54,760 --> 00:40:56,759 Speaker 14: If they want to aim, if they got some specific 788 00:40:56,840 --> 00:41:01,000 Speaker 14: issues aiming, don't just do a meat ax or a 789 00:41:02,239 --> 00:41:07,360 Speaker 14: chainsaw across the board and cut everything, everything, everything. I 790 00:41:07,920 --> 00:41:10,840 Speaker 14: don't know if their numbers are accurate. These are GOP numbers. 791 00:41:11,239 --> 00:41:15,719 Speaker 1: It doesn't just they're cutting waste, fraud, abuse, and they're 792 00:41:15,880 --> 00:41:18,880 Speaker 1: stopping illegals from coming into this country, exactly what Trump 793 00:41:19,200 --> 00:41:21,719 Speaker 1: was voted in to do. Seems like the FED is 794 00:41:21,719 --> 00:41:24,799 Speaker 1: preparing to punish the American people because they don't like 795 00:41:24,960 --> 00:41:27,359 Speaker 1: Donald Trump. He heard me right. It seems like even 796 00:41:27,360 --> 00:41:31,040 Speaker 1: the FED is considering I don't know, rate cuts. They're 797 00:41:31,080 --> 00:41:33,880 Speaker 1: not doing it fast enough, but they don't want to 798 00:41:33,920 --> 00:41:36,719 Speaker 1: do it while Trump is in office. Listen to Jerome Powell. 799 00:41:38,200 --> 00:41:43,400 Speaker 15: Good afternoon. My colleagues and I remain squarely focused on 800 00:41:43,440 --> 00:41:46,800 Speaker 15: achieving our dual mandate goals of maximum employment and stable 801 00:41:46,840 --> 00:41:51,719 Speaker 15: prices for the benefit of the American people. Despite heightened uncertainty, 802 00:41:51,800 --> 00:41:56,120 Speaker 15: the economy is still in a solid position. The unemployment 803 00:41:56,160 --> 00:41:58,719 Speaker 15: rate remains low, and the labor market is at or 804 00:41:58,760 --> 00:42:02,680 Speaker 15: near maximum employment. Inflation has come down a great deal, 805 00:42:02,760 --> 00:42:05,440 Speaker 15: but has been running somewhat above or two percent longer 806 00:42:05,520 --> 00:42:10,959 Speaker 15: run objective in support of our goals. Today, the Feral 807 00:42:11,000 --> 00:42:14,560 Speaker 15: Open Market Committee decided to leave our policy interest rate unchanged. 808 00:42:14,560 --> 00:42:17,759 Speaker 1: See Trump is asking Jerome Poll to lower interest rates. 809 00:42:17,800 --> 00:42:21,880 Speaker 1: It becomes easier to borrow money, things get easier to purchase. 810 00:42:22,280 --> 00:42:24,239 Speaker 1: Trump wants him to do it. For some reason he 811 00:42:24,280 --> 00:42:26,720 Speaker 1: doesn't want to do He's worried about high inflation. Inflation 812 00:42:26,840 --> 00:42:30,000 Speaker 1: is coming down, folks, Inflation's coming down. Jerome Poll knows 813 00:42:30,080 --> 00:42:32,120 Speaker 1: very well. When the price of oil goes from one 814 00:42:32,160 --> 00:42:34,719 Speaker 1: hundred dollars a barrow ninety five dollars a barrow for 815 00:42:34,760 --> 00:42:37,520 Speaker 1: the vast majority of the Biden administration, and it's hovering 816 00:42:37,520 --> 00:42:39,919 Speaker 1: around sixty two sixty three dollars a barrow right now, 817 00:42:40,200 --> 00:42:42,960 Speaker 1: Inflation is coming down. This whole idea of we're going 818 00:42:43,040 --> 00:42:45,000 Speaker 1: to go slow. You were slow on the way up 819 00:42:45,080 --> 00:42:48,400 Speaker 1: and it costs Biden his presidency. Don't be slow on 820 00:42:48,440 --> 00:42:51,720 Speaker 1: the way down, Jerome. CNN just said that investigating Biden 821 00:42:51,800 --> 00:42:55,560 Speaker 1: is basically pointless. Yet these clowns had no problem covering 822 00:42:56,080 --> 00:43:00,239 Speaker 1: the Trump investigations wall to wall on a daily basis. Fact, 823 00:43:00,320 --> 00:43:03,960 Speaker 1: Republicans were even mocked for wanting to investigate the former president. 824 00:43:04,120 --> 00:43:06,440 Speaker 1: Listened to this hypocrisy. 825 00:43:06,560 --> 00:43:10,080 Speaker 16: Just to look at the investigation so far, so you 826 00:43:10,080 --> 00:43:13,719 Speaker 16: see on your screen into Biden allegations, the political interference 827 00:43:13,760 --> 00:43:16,640 Speaker 16: alleged into the Hunter Biden case, the cover up of 828 00:43:16,680 --> 00:43:19,120 Speaker 16: Biden's mental fitness, the alleged cover up. That's what they're 829 00:43:19,160 --> 00:43:22,520 Speaker 16: looking at, the use of the auto pen, particularly. 830 00:43:22,000 --> 00:43:23,400 Speaker 1: On executive orders. 831 00:43:23,440 --> 00:43:25,920 Speaker 3: What do you make of this effort? 832 00:43:26,400 --> 00:43:29,720 Speaker 17: Well, the other key difference from when Comber was trying 833 00:43:29,719 --> 00:43:31,719 Speaker 17: to rally votes around impeachment and now is that Joe 834 00:43:31,719 --> 00:43:33,480 Speaker 17: Biden is no longer a president of the United States. 835 00:43:33,480 --> 00:43:38,960 Speaker 17: So it's a very factor looking exercise. 836 00:43:39,000 --> 00:43:40,600 Speaker 3: One that will wonder. 837 00:43:40,360 --> 00:43:43,560 Speaker 1: If these idiots they're losing their audience. They lied to 838 00:43:43,600 --> 00:43:46,400 Speaker 1: the American people and they can't even be honest after 839 00:43:46,440 --> 00:43:49,600 Speaker 1: they realized that they're getting smoked. Sonny Houston from the view, 840 00:43:49,640 --> 00:43:52,800 Speaker 1: remember that lady just gave her I don't know, maybe 841 00:43:52,880 --> 00:43:56,320 Speaker 1: one of her worst takes ever, her fear mongering master 842 00:43:56,480 --> 00:43:59,480 Speaker 1: class of the week. Let's call it that she actually claimed, 843 00:43:59,600 --> 00:44:03,440 Speaker 1: get this, that elon musks and dozes cuts to foreign 844 00:44:03,480 --> 00:44:08,200 Speaker 1: aid killed three hundred thousand children. That's what she said. 845 00:44:08,840 --> 00:44:11,840 Speaker 1: Pretty serious statement to make a national television I'd like 846 00:44:11,920 --> 00:44:14,000 Speaker 1: to see the data on this one, Sonny. 847 00:44:15,040 --> 00:44:18,800 Speaker 18: But the damage that he did was just really incredible. 848 00:44:18,880 --> 00:44:23,799 Speaker 18: He slashed two hundred and fifty thousand federal employees, more 849 00:44:23,840 --> 00:44:27,279 Speaker 18: than eighty five hundred contracts, more than ten thousand grants, 850 00:44:27,320 --> 00:44:31,479 Speaker 18: and his cutbacks on medical research cost the lives of 851 00:44:32,120 --> 00:44:36,160 Speaker 18: the foreign aid costs three hundred thousand lives, mostly children. 852 00:44:36,640 --> 00:44:39,279 Speaker 18: That's the damage that Elon must did. So I don't 853 00:44:39,280 --> 00:44:42,319 Speaker 18: think anyone should be listening to him about any You know. 854 00:44:44,680 --> 00:44:48,239 Speaker 1: It's hard to sue someone when they're on television. It's 855 00:44:48,280 --> 00:44:51,120 Speaker 1: just because there's some protections around people who talk for 856 00:44:51,160 --> 00:44:55,239 Speaker 1: a living. But to claim that Elon Musk is responsible 857 00:44:55,239 --> 00:44:59,080 Speaker 1: for three hundred thousand deaths, mostly children, as Sonny Holsten 858 00:44:59,160 --> 00:45:03,239 Speaker 1: just said, and you're a lawyer, Sony House, it's incredible. 859 00:45:03,400 --> 00:45:06,360 Speaker 1: If I'm if I'm Musk, my lawyers are paying you 860 00:45:06,440 --> 00:45:10,360 Speaker 1: a visit, subpoenaing you at the view on the Upper 861 00:45:10,640 --> 00:45:13,640 Speaker 1: East Side of New York City tomorrow. I hope they do. 862 00:45:14,160 --> 00:45:16,279 Speaker 1: New York needs a new mayor, no doubt. I think 863 00:45:16,320 --> 00:45:18,360 Speaker 1: most of us can probably agree on that. Unfortunately, the 864 00:45:18,440 --> 00:45:21,279 Speaker 1: talent pool there ain't all ed deep. Folks. Take a 865 00:45:21,280 --> 00:45:25,760 Speaker 1: look at this campaign ad from Zorn Mamdani, the candidate 866 00:45:25,800 --> 00:45:28,920 Speaker 1: for the mayor's position in New York. He's making promises 867 00:45:29,200 --> 00:45:32,040 Speaker 1: to New Yorkers in a foreign language. 868 00:45:32,239 --> 00:45:36,480 Speaker 19: Kid you now, yeah, hey can make yeah, yeah, he 869 00:45:36,560 --> 00:45:39,840 Speaker 19: can make yah Karunga Hamarik, communities Gillier or Horique, New 870 00:45:39,920 --> 00:45:49,200 Speaker 19: York Mayhammara Cherko, affordable Bananda, New Yorkers May Yes, sub rent, freeze, 871 00:45:49,200 --> 00:45:51,840 Speaker 19: three buses, universal childcare or Susi gros. 872 00:45:57,880 --> 00:46:02,239 Speaker 1: Yeah, Hey, mister mayor Jackass. Didn't you hear Trump made 873 00:46:02,320 --> 00:46:04,719 Speaker 1: English the official language. If you're going to run for 874 00:46:04,800 --> 00:46:07,840 Speaker 1: the mayor of the largest city in America, maybe you 875 00:46:07,840 --> 00:46:11,440 Speaker 1: want to stick to English. And if that wasn't bad enough, 876 00:46:11,480 --> 00:46:14,640 Speaker 1: here's another candidate to run the city that Never sleeps 877 00:46:14,880 --> 00:46:19,520 Speaker 1: Adrian Adams, who says it's her mission to protect illegals. 878 00:46:20,239 --> 00:46:22,800 Speaker 17: Let's say that you learned that ICE is planning to 879 00:46:22,840 --> 00:46:26,839 Speaker 17: stop immigrants outside your hospitals for possible roundups. 880 00:46:27,120 --> 00:46:30,640 Speaker 1: Would you warn them? And how would you handle this situation? 881 00:46:30,760 --> 00:46:31,640 Speaker 7: You have a minute. 882 00:46:32,040 --> 00:46:35,320 Speaker 13: You know it's work that I'm already doing as Speaker 883 00:46:35,360 --> 00:46:36,280 Speaker 13: of the City Council. 884 00:46:36,400 --> 00:46:37,279 Speaker 1: So I've already. 885 00:46:37,000 --> 00:46:39,279 Speaker 13: Stepped up in leadership to do this. I've had a 886 00:46:39,320 --> 00:46:42,880 Speaker 13: target on me because I refuse to erode our sanctuary city. 887 00:46:42,719 --> 00:46:44,319 Speaker 1: Laws, and I've refused to do this. 888 00:46:44,840 --> 00:46:47,399 Speaker 13: My mission is and will be when I am mayor, 889 00:46:47,480 --> 00:46:50,000 Speaker 13: is to protect the immigrants of the City of New York. 890 00:46:52,360 --> 00:46:56,120 Speaker 1: They get killed on immigration in twenty twenty four, they 891 00:46:56,120 --> 00:47:00,640 Speaker 1: get crushed, destroyed. Eric Adams says I was wrong. New 892 00:47:00,719 --> 00:47:05,040 Speaker 1: York City shouldn't be a sanctuary city. Gavin Newsom says, 893 00:47:05,040 --> 00:47:07,759 Speaker 1: we were wrong. We have to rethink these things. And 894 00:47:07,800 --> 00:47:09,839 Speaker 1: this clown wants to be the mayor and she will 895 00:47:09,880 --> 00:47:12,960 Speaker 1: protect illegals. It's crazy. It's crazy, folks. I'll tell you 896 00:47:13,000 --> 00:47:14,759 Speaker 1: what hit me up on. But let me know. I'm 897 00:47:14,800 --> 00:47:17,319 Speaker 1: on the rumble Chat and Molto on the getor Chat. 898 00:47:17,320 --> 00:47:19,439 Speaker 1: You guys are going back and forth on this whole 899 00:47:19,440 --> 00:47:22,560 Speaker 1: elon Muss versus Trump. It's the news of the day, folks, 900 00:47:22,640 --> 00:47:24,160 Speaker 1: it's the news to day. I'm want to stick with it. 901 00:47:24,239 --> 00:47:25,799 Speaker 1: We're going to take a quick break. We'll be back 902 00:47:25,800 --> 00:47:27,719 Speaker 1: into and a half minute. See abandons around. If not, 903 00:47:27,840 --> 00:47:29,360 Speaker 1: we're gonna talk a little bit more about it on 904 00:47:29,360 --> 00:47:43,919 Speaker 1: the backside, all right, folks. San Francisco, California, Oh dog, 905 00:47:44,040 --> 00:47:48,040 Speaker 1: is that the volcano? Is that the San Francisco Volcano? 906 00:47:48,200 --> 00:47:49,280 Speaker 20: I think that's a volcano. 907 00:47:49,520 --> 00:47:55,040 Speaker 1: I think it's a It's a hill copy. All right, folks, 908 00:47:55,080 --> 00:47:57,480 Speaker 1: listen all morning. We got to talk about it. You 909 00:47:57,520 --> 00:47:59,400 Speaker 1: gotta talk about it. Woke up early this morning. It 910 00:47:59,440 --> 00:48:02,880 Speaker 1: was a little few that started seemed fairly innocent. Started 911 00:48:02,880 --> 00:48:05,120 Speaker 1: off a couple of shots, going back and forth. Elon 912 00:48:05,239 --> 00:48:08,000 Speaker 1: didn't like the Big Beautiful Bill. We've been talking about it. 913 00:48:08,280 --> 00:48:10,960 Speaker 1: Trump was laying low. He had the German Chancellor in 914 00:48:11,000 --> 00:48:16,640 Speaker 1: the Oval office laying low. Yeah, so not that one yet. 915 00:48:16,719 --> 00:48:19,719 Speaker 1: That got a little after it gets yeah, okay, you 916 00:48:19,719 --> 00:48:25,280 Speaker 1: guys are showing it fast. You're firing fast. Elon starts 917 00:48:25,320 --> 00:48:27,839 Speaker 1: taking shots to the Big Beautiful Bill. Trump says, maybe 918 00:48:27,840 --> 00:48:30,480 Speaker 1: we should pull some subsidies to you can do them now, 919 00:48:30,600 --> 00:48:34,400 Speaker 1: to Tesla and to Starlink. And then Elon drops a 920 00:48:34,440 --> 00:48:37,920 Speaker 1: bomb saying, here's the big one, the big Khona. Trump's 921 00:48:37,920 --> 00:48:40,719 Speaker 1: in the Epstein files. And then people just went apoplectic. 922 00:48:40,840 --> 00:48:44,640 Speaker 1: So you know where I stand. President Trump's most powerful 923 00:48:44,680 --> 00:48:46,480 Speaker 1: man in the world. He was elected to do a job. 924 00:48:46,600 --> 00:48:49,360 Speaker 1: He's doing the job. He believes that the American people 925 00:48:49,400 --> 00:48:54,120 Speaker 1: will will benefit from the most, including the Big Beautiful Bill. 926 00:48:54,160 --> 00:48:56,480 Speaker 1: Which there are things in the Big Beautiful Bill that 927 00:48:56,520 --> 00:48:58,880 Speaker 1: we all don't like, but we support Trump's so we 928 00:48:58,920 --> 00:49:01,719 Speaker 1: do it. I love Elon. He protected free speech, He 929 00:49:01,800 --> 00:49:04,640 Speaker 1: kept free speech in America. He was a very great 930 00:49:04,920 --> 00:49:08,440 Speaker 1: assistant to Donald Trump when he was winning the presidency. 931 00:49:08,800 --> 00:49:10,200 Speaker 1: I don't know if he would have won without him. 932 00:49:10,239 --> 00:49:11,680 Speaker 1: I say he probably would have won without them, But 933 00:49:11,719 --> 00:49:14,160 Speaker 1: Elon thinks he had a lot to do with Trump winning. 934 00:49:14,360 --> 00:49:17,000 Speaker 1: Not sure about any of that stuff. What I do 935 00:49:17,080 --> 00:49:20,719 Speaker 1: know is Elon Musk is a great American patriot. So 936 00:49:20,800 --> 00:49:24,359 Speaker 1: this feud again, Elon has said he's admitted he's on 937 00:49:24,440 --> 00:49:28,359 Speaker 1: the spectrum. Okay, so if he said it, you got 938 00:49:28,360 --> 00:49:30,040 Speaker 1: to take some of these tweets with a grain that's 939 00:49:30,120 --> 00:49:32,000 Speaker 1: or ex post with a grain of salt. All right. 940 00:49:32,440 --> 00:49:36,560 Speaker 1: He's emotional, he's reactive, Okay. I hate this fight that's 941 00:49:36,600 --> 00:49:40,000 Speaker 1: going on. Just say these two or two great Americans, 942 00:49:40,239 --> 00:49:42,480 Speaker 1: two great patriots. Trump's the best president to ever walk 943 00:49:42,520 --> 00:49:47,000 Speaker 1: the earth. Elon Musk is the best businessman, best business 944 00:49:47,040 --> 00:49:50,160 Speaker 1: mind the world has ever seen, by multiples. I'd like 945 00:49:50,239 --> 00:49:52,680 Speaker 1: this thing to go resolve itself. I don't know if 946 00:49:52,680 --> 00:49:55,640 Speaker 1: it will. Maybe too much water under that bridge, who knows. 947 00:49:56,040 --> 00:49:58,319 Speaker 1: But the one I really didn't like, If you can 948 00:49:58,320 --> 00:50:03,000 Speaker 1: put that tweet up with with Elon talking about Starlink. 949 00:50:04,480 --> 00:50:07,840 Speaker 1: So after Trump says that we may pull some of 950 00:50:07,880 --> 00:50:12,839 Speaker 1: the federal grants for Tesla cars and such, Eli said, well, 951 00:50:12,840 --> 00:50:16,200 Speaker 1: we're going to start dismantling the space program. Now we 952 00:50:16,280 --> 00:50:21,960 Speaker 1: spend some time at NASA. This Starlink NASA partnership, it's 953 00:50:21,960 --> 00:50:25,439 Speaker 1: a public private partnership, has been phenomenal for both sides. 954 00:50:25,440 --> 00:50:28,560 Speaker 1: It's been great for NASA, it's been great for Elon 955 00:50:28,680 --> 00:50:31,000 Speaker 1: Musk and Starlink. It's been great for the American people. 956 00:50:31,040 --> 00:50:37,440 Speaker 1: Space exploration is very important to medications, all things. This 957 00:50:37,520 --> 00:50:39,480 Speaker 1: is a great partnership. It was very very good. I 958 00:50:39,560 --> 00:50:41,640 Speaker 1: hate to see this. This is the This is the 959 00:50:41,719 --> 00:50:44,960 Speaker 1: very very negative fallout of two dudes duking it out 960 00:50:45,040 --> 00:50:48,000 Speaker 1: in public. I would say, I want to remind you 961 00:50:48,040 --> 00:50:49,960 Speaker 1: we we did an ice rate last week and it 962 00:50:50,040 --> 00:50:52,680 Speaker 1: was a phenomenal ice rate. I got the pleasure, I 963 00:50:52,719 --> 00:50:55,680 Speaker 1: got the opportunity to Tom Holman and Christy Noman gave 964 00:50:55,719 --> 00:50:59,200 Speaker 1: me this opportunity have a little sites and sounds from that 965 00:50:59,280 --> 00:51:04,480 Speaker 1: ride along Tickla early morning hours. Just days ago, we 966 00:51:04,480 --> 00:51:07,560 Speaker 1: were granted rare access to a major bust of some 967 00:51:07,920 --> 00:51:13,240 Speaker 1: real bad Ombrace Trendellar, Agua Gang bangers. Hi folks were 968 00:51:13,280 --> 00:51:16,319 Speaker 1: going on two bus, two trendellar Agua. The members one 969 00:51:16,360 --> 00:51:19,520 Speaker 1: of them, they're going to report both of these people. 970 00:51:19,880 --> 00:51:23,040 Speaker 1: The law enforcement is here, how the present. This is 971 00:51:23,080 --> 00:51:25,799 Speaker 1: what we vote for, this is what we paid for, 972 00:51:25,920 --> 00:51:27,840 Speaker 1: this is what we've wanted. I look at this is 973 00:51:27,880 --> 00:51:31,920 Speaker 1: twenty two different officers, seven different law enforcement sees. This 974 00:51:31,960 --> 00:51:36,760 Speaker 1: is legit. We're we're we're invested up. Could get crazy. 975 00:51:36,800 --> 00:51:44,040 Speaker 1: Who knows. Immigration and Customs Enforcement also known as ICE, 976 00:51:44,160 --> 00:51:47,960 Speaker 1: was the lead, but there were seven agencies present, including 977 00:51:48,360 --> 00:51:54,720 Speaker 1: the FBI, the DEA, HSI, Federal Marshals, and Florida Highway Patrol, 978 00:51:54,920 --> 00:51:59,040 Speaker 1: among others. We blowed the faces to protect the identities 979 00:51:59,120 --> 00:52:03,239 Speaker 1: of the officers. Trend dellar Agua is known to use 980 00:52:03,320 --> 00:52:09,040 Speaker 1: highly sophisticated facial recognition technology to identify our officers and 981 00:52:09,200 --> 00:52:13,560 Speaker 1: rain down terror on them and their families. In the 982 00:52:13,600 --> 00:52:17,080 Speaker 1: following video compilation, you will see these thugs get arrested 983 00:52:17,360 --> 00:52:20,879 Speaker 1: and hauled off to ICE detention centers and then on 984 00:52:20,920 --> 00:52:26,480 Speaker 1: their way to deportation. These raids are highly planned, highly successful, 985 00:52:27,200 --> 00:52:31,880 Speaker 1: very dangerous. We're sitting here, we're waiting. We got to 986 00:52:32,000 --> 00:52:38,400 Speaker 1: the location, the pre dawn location twenty two law enforcement 987 00:52:38,440 --> 00:52:42,160 Speaker 1: officers from seven or eight different agencies are involved. A 988 00:52:42,200 --> 00:52:47,239 Speaker 1: couple of bad guys to separate raids, busts, removals. I 989 00:52:47,239 --> 00:52:49,520 Speaker 1: guess we'll call it, lets it take it away. 990 00:52:49,680 --> 00:52:55,680 Speaker 20: Yeah, so thank you. So these are targeting enforcement actions. 991 00:52:55,719 --> 00:53:01,000 Speaker 20: So this particular individual that we are looking to target 992 00:53:01,800 --> 00:53:04,120 Speaker 20: is a suspected TDA member. 993 00:53:04,840 --> 00:53:05,080 Speaker 18: Uh. 994 00:53:05,120 --> 00:53:09,280 Speaker 20: He has involvement and aggravated assault with a deadly weapons 995 00:53:09,280 --> 00:53:13,080 Speaker 20: to tend to kill. He also has aggravated battery bodily 996 00:53:13,120 --> 00:53:18,319 Speaker 20: harm charges. Right now, we're just setting up. We're at 997 00:53:18,320 --> 00:53:23,600 Speaker 20: the location where the target maybe our team leads are 998 00:53:23,640 --> 00:53:27,600 Speaker 20: on this. They're set they're situated where hopefully this target 999 00:53:27,640 --> 00:53:31,240 Speaker 20: will you know, they've done their homework. So the agents, 1000 00:53:31,280 --> 00:53:33,520 Speaker 20: the officers have done their homework, so they've been tracking 1001 00:53:33,520 --> 00:53:34,200 Speaker 20: his patterns. 1002 00:53:35,080 --> 00:53:39,960 Speaker 1: These raids are highly planned, highly successful, very dangerous, and 1003 00:53:40,239 --> 00:53:44,440 Speaker 1: ultimately make our streets safer for law abiding citizens. 1004 00:53:50,840 --> 00:54:07,960 Speaker 21: Way this day, two t DA gang bangers would be plusted. 1005 00:54:08,320 --> 00:54:11,800 Speaker 1: In addition to being illegal aliens. They're one for assault 1006 00:54:11,880 --> 00:54:14,080 Speaker 1: of it that the weaponed with the intent to kill 1007 00:54:14,920 --> 00:54:50,480 Speaker 1: murder and Monday Wander. Couple of bad guys, A couple 1008 00:54:50,480 --> 00:54:53,360 Speaker 1: of really, really bad hombres off the streets thanks to 1009 00:54:53,440 --> 00:54:53,640 Speaker 1: ice