1 00:00:20,440 --> 00:00:23,160 Speaker 1: Hello, everybody, Welcome to the Tuesday edition of Just the 2 00:00:23,160 --> 00:00:25,600 Speaker 1: News and the Noise. I'm your host, Amanda Head, my co host, 3 00:00:25,640 --> 00:00:27,960 Speaker 1: and Just the News editor in chief John Solomon is 4 00:00:28,000 --> 00:00:30,400 Speaker 1: out on assignment tonight, and as always, I'm reporting to 5 00:00:30,440 --> 00:00:34,479 Speaker 1: you from Washington, DC and our Wired Coffee dot Com studios. 6 00:00:34,520 --> 00:00:37,080 Speaker 1: It's the official coffee of Just the News, So head 7 00:00:37,120 --> 00:00:39,559 Speaker 1: over to Wired Toofishcoffee dot com and you can get 8 00:00:39,600 --> 00:00:42,400 Speaker 1: an amazing ten percent discount on their coffees, their mugs, 9 00:00:42,479 --> 00:00:43,559 Speaker 1: all of their great products. 10 00:00:43,600 --> 00:00:46,320 Speaker 2: So use the code just News at checkout. 11 00:00:46,320 --> 00:00:50,000 Speaker 1: All right, President Trump's One Big Beautiful Bill has finally 12 00:00:50,040 --> 00:00:52,120 Speaker 1: made it through the Senate, but not without a few 13 00:00:52,159 --> 00:00:54,560 Speaker 1: hiccups along the way, and it will now head back 14 00:00:54,560 --> 00:00:56,880 Speaker 1: to the House of Representatives where they will look to 15 00:00:56,920 --> 00:00:59,560 Speaker 1: get a pass and on President Trump's desk before the 16 00:00:59,640 --> 00:01:02,360 Speaker 1: July deadline. And they don't have very long to get 17 00:01:02,360 --> 00:01:04,800 Speaker 1: that done, do they. And President Trump addressed it on 18 00:01:05,720 --> 00:01:07,839 Speaker 1: Addressed at All on the way back from his trip 19 00:01:07,880 --> 00:01:11,280 Speaker 1: to Alligator Alcatraz in Florida, which I'll get into in 20 00:01:11,319 --> 00:01:13,200 Speaker 1: just a minute, but first take a look at how 21 00:01:13,280 --> 00:01:17,759 Speaker 1: President Trump reacted after after the One Big Beautiful Bill 22 00:01:17,800 --> 00:01:20,000 Speaker 1: announcement came to him of it passing through the Senate. 23 00:01:20,520 --> 00:01:22,920 Speaker 3: We got there, we got pretty much went on. 24 00:01:24,959 --> 00:01:27,920 Speaker 4: That's been amazing, the biggest bill ever passed. 25 00:01:27,920 --> 00:01:30,120 Speaker 5: If we get this done, you know, most of the 26 00:01:30,400 --> 00:01:33,640 Speaker 5: one at seven or eight different films, And I thought 27 00:01:33,680 --> 00:01:36,040 Speaker 5: that was tough for because they'd be one hundred percent 28 00:01:36,640 --> 00:01:37,360 Speaker 5: that they'd be done. 29 00:01:37,360 --> 00:01:40,520 Speaker 3: They'd just bill has something for everybody by doing it 30 00:01:40,600 --> 00:01:43,400 Speaker 3: just so we're happy, happy. 31 00:01:43,160 --> 00:01:46,080 Speaker 1: With the result, and considering the process of getting just 32 00:01:46,080 --> 00:01:48,360 Speaker 1: this one bill through the House and the Senate, I 33 00:01:48,360 --> 00:01:50,920 Speaker 1: think he's probably not wrong on the linky process that 34 00:01:50,960 --> 00:01:53,400 Speaker 1: would have taken with eight bills or so. All right now, 35 00:01:53,440 --> 00:01:56,080 Speaker 1: The up no votes on the bill were comprised of 36 00:01:56,200 --> 00:02:00,080 Speaker 1: Senator Ran Paul from Kentucky, Main Senator Susan Collins, and 37 00:02:00,200 --> 00:02:02,320 Speaker 1: North Carolina Senator Tom Tillis. 38 00:02:02,320 --> 00:02:03,800 Speaker 2: All of those are likely suspects. 39 00:02:04,080 --> 00:02:07,320 Speaker 1: It's also likely that the OBBB will pass the House 40 00:02:07,360 --> 00:02:10,000 Speaker 1: in the next day or two, but that doesn't mean 41 00:02:10,000 --> 00:02:12,680 Speaker 1: that there's no more drama surrounding the bill. Elon Musk 42 00:02:12,720 --> 00:02:15,240 Speaker 1: and President Trump are going at it again as it 43 00:02:15,280 --> 00:02:18,760 Speaker 1: seems that their social media ceasefire has officially ended. 44 00:02:19,080 --> 00:02:20,560 Speaker 2: Musk has been posting. 45 00:02:20,200 --> 00:02:23,720 Speaker 1: A lot about the bill again and again bringing up 46 00:02:23,760 --> 00:02:27,040 Speaker 1: that a new political party should be formed to tackle 47 00:02:27,080 --> 00:02:28,000 Speaker 1: America's debt. 48 00:02:28,080 --> 00:02:30,040 Speaker 2: He would call it the America. 49 00:02:29,600 --> 00:02:33,359 Speaker 1: Party, and before heading to Alligator Alcatraz earlier this morning, 50 00:02:33,639 --> 00:02:37,560 Speaker 1: President Trump criticized Musk criticism criticism. 51 00:02:37,360 --> 00:02:38,640 Speaker 6: Proper, give me a lot of bugs. 52 00:02:39,680 --> 00:02:43,000 Speaker 7: I think you know, he's upset that he's losing his 53 00:02:43,520 --> 00:02:45,680 Speaker 7: TV mandate and lu succept. 54 00:02:45,360 --> 00:02:47,720 Speaker 5: Ken he's very upset about, tell you, but you. 55 00:02:47,680 --> 00:02:49,160 Speaker 4: Know, you can lose a lot more than that. 56 00:02:49,320 --> 00:02:54,160 Speaker 8: I can tell you, right, a lot more than that. 57 00:02:55,360 --> 00:02:57,480 Speaker 1: Something tells me that we're probably going to be hearing 58 00:02:57,520 --> 00:02:59,880 Speaker 1: a little bit more from both of these gentlemen in 59 00:03:00,160 --> 00:03:02,280 Speaker 1: the future. And we have just one more story to 60 00:03:02,320 --> 00:03:05,320 Speaker 1: get to involving President Trump. He visited what the administration 61 00:03:05,440 --> 00:03:09,560 Speaker 1: has dubbed Alligator Alcatraz earlier today with former Governor Ron 62 00:03:09,600 --> 00:03:12,679 Speaker 1: De Santis, or with Florida Governor Ronda Santis and DHS 63 00:03:12,840 --> 00:03:16,240 Speaker 1: Secretary Christy Nome in tow and The site used to 64 00:03:16,240 --> 00:03:18,760 Speaker 1: be an old airport that the state of Florida turned 65 00:03:18,760 --> 00:03:23,240 Speaker 1: around very quickly into an immigration detention center that is 66 00:03:23,280 --> 00:03:27,399 Speaker 1: intended to hold up to five thousand illegals awaiting deportation, 67 00:03:27,560 --> 00:03:29,760 Speaker 1: and the President was in quite a good mood as 68 00:03:29,800 --> 00:03:32,680 Speaker 1: he toured the facility. Here he is answering a question 69 00:03:32,760 --> 00:03:37,440 Speaker 1: about the conditions inside Alligator Alcatraz, asked by Rav's very 70 00:03:37,480 --> 00:03:38,680 Speaker 1: own Branglin Heyer. 71 00:03:38,800 --> 00:03:41,720 Speaker 4: Viewers and whole should note that this is air conditioned facility. 72 00:03:41,840 --> 00:03:43,960 Speaker 4: So if any of the news claims are keeping him 73 00:03:43,960 --> 00:03:46,080 Speaker 4: out in the hot human South Florida, that is wrong. 74 00:03:46,120 --> 00:03:47,920 Speaker 4: He's probably sixty two and three here to be on. 75 00:03:48,480 --> 00:03:53,000 Speaker 8: So hey, Biden wanted me in here. Okay, he wanted me. 76 00:03:53,040 --> 00:03:55,560 Speaker 8: It didn't work out that way, but he wanted me 77 00:03:55,640 --> 00:03:56,960 Speaker 8: in here, and. 78 00:03:56,920 --> 00:03:59,480 Speaker 1: I can assure you that, compared to outside, inside of 79 00:03:59,480 --> 00:04:01,040 Speaker 1: that facility was a lot better. 80 00:04:01,120 --> 00:04:03,720 Speaker 2: All right, let's get back to the one big, beautiful Bill. 81 00:04:03,560 --> 00:04:05,280 Speaker 1: And I think my first guest of the night is 82 00:04:05,320 --> 00:04:06,920 Speaker 1: going to have a lot to say about what is 83 00:04:06,960 --> 00:04:08,839 Speaker 1: going to happen as it heads back to the house. 84 00:04:08,880 --> 00:04:10,840 Speaker 1: Ping pong, ping pong, back and forth as they deliberate. 85 00:04:10,880 --> 00:04:13,920 Speaker 1: All right, joining us now representing the great state of Wisconsin, 86 00:04:14,320 --> 00:04:16,920 Speaker 1: Congressman and Glenn Growthman, Congressman, thanks so much. 87 00:04:16,800 --> 00:04:19,440 Speaker 2: For being here than you be on the show. 88 00:04:19,920 --> 00:04:22,120 Speaker 1: All right, sir, so from what you have heard of 89 00:04:22,160 --> 00:04:24,359 Speaker 1: the changes that came out of the Senate. Now it 90 00:04:24,440 --> 00:04:26,559 Speaker 1: is ping ponging back to the House for you guys 91 00:04:26,560 --> 00:04:29,919 Speaker 1: to get your hands on again. Is there anything that 92 00:04:29,920 --> 00:04:31,840 Speaker 1: sticks out in your mind that you're thinking to yourself, 93 00:04:31,920 --> 00:04:33,440 Speaker 1: we got to tackle this, we got to put this 94 00:04:33,560 --> 00:04:34,920 Speaker 1: back in, we got to take this out. 95 00:04:34,960 --> 00:04:37,880 Speaker 2: Anything like that, Get Matt. 96 00:04:38,200 --> 00:04:39,919 Speaker 7: You've got to remember when it first came out of 97 00:04:39,920 --> 00:04:43,120 Speaker 7: the House, it only passed by one vote. I think 98 00:04:43,160 --> 00:04:46,960 Speaker 7: the consensus of people conservatives in the House is the 99 00:04:47,000 --> 00:04:50,719 Speaker 7: Senate made it worse, and our expectation was the Senate 100 00:04:50,760 --> 00:04:53,480 Speaker 7: would make it better. I know Donald Trump wants it 101 00:04:53,520 --> 00:04:56,200 Speaker 7: done by July fourth, but I think Donald Trump would 102 00:04:56,200 --> 00:04:59,320 Speaker 7: agree we'd rather have a good package on July twenty 103 00:04:59,400 --> 00:05:02,320 Speaker 7: first than a bad package on July fourth. 104 00:05:02,680 --> 00:05:04,640 Speaker 4: There are some things we knew we're going to be 105 00:05:04,720 --> 00:05:06,640 Speaker 4: in there last February, right. 106 00:05:06,880 --> 00:05:09,080 Speaker 7: We all know we're going to extend the tax cuts 107 00:05:09,080 --> 00:05:10,200 Speaker 7: from twenty seventeen. 108 00:05:10,640 --> 00:05:12,640 Speaker 4: We all know there's going to be no. 109 00:05:12,720 --> 00:05:15,600 Speaker 8: Tax on tips or no tax on overtime. 110 00:05:16,000 --> 00:05:17,640 Speaker 7: We all knew that there was going to be more 111 00:05:17,680 --> 00:05:22,760 Speaker 7: money for the border. The question is other than that, 112 00:05:23,240 --> 00:05:27,719 Speaker 7: are we increase or increasing or decreasing the cost of government, 113 00:05:28,080 --> 00:05:30,159 Speaker 7: the scope of government, and I think a lot of 114 00:05:30,240 --> 00:05:33,760 Speaker 7: us feel right now we're disappointed. As you know, I've 115 00:05:33,800 --> 00:05:36,480 Speaker 7: been kind of focusing on something called the Earned income 116 00:05:36,560 --> 00:05:41,040 Speaker 7: Tax Credit, something where recently the Washington Post ran an article, 117 00:05:42,320 --> 00:05:45,320 Speaker 7: we are paying developers seventy percent. 118 00:05:44,920 --> 00:05:47,200 Speaker 4: Of the cost of their unit. I mean that some of. 119 00:05:47,160 --> 00:05:51,880 Speaker 7: These other tax cuts, these green tax tax credits, we 120 00:05:51,920 --> 00:05:54,280 Speaker 7: are paying seventy percent of the cost of a new 121 00:05:54,320 --> 00:05:58,280 Speaker 7: apartment building, which is ridiculous. And because of that, there 122 00:05:58,279 --> 00:06:01,280 Speaker 7: are new projects in the District of Columbia costing over 123 00:06:01,600 --> 00:06:04,320 Speaker 7: a million dollars per unit for a rent property. 124 00:06:04,720 --> 00:06:05,719 Speaker 8: Just unbelievable. 125 00:06:06,320 --> 00:06:09,520 Speaker 7: You have a horrible program like this, obviously it should disappear. 126 00:06:09,760 --> 00:06:12,640 Speaker 7: It's costing twelve billion dollars a year, and so far 127 00:06:12,760 --> 00:06:14,839 Speaker 7: the Republicans have added to the program. 128 00:06:14,880 --> 00:06:16,320 Speaker 8: They want to spend still more. 129 00:06:16,760 --> 00:06:21,000 Speaker 7: They look at this ridiculous program that's can cost over 130 00:06:21,040 --> 00:06:24,440 Speaker 7: a million dollars a unit to build a new apartment dwelling, and. 131 00:06:24,400 --> 00:06:25,600 Speaker 8: They say it's got to go up. 132 00:06:25,720 --> 00:06:27,880 Speaker 7: So that's the type of thing that I think has 133 00:06:27,920 --> 00:06:30,919 Speaker 7: to come out before it passes the House. And I 134 00:06:30,960 --> 00:06:33,560 Speaker 7: think too many Republicans say they didn't get a good 135 00:06:33,640 --> 00:06:37,240 Speaker 7: enough peptok when this thing began. That our goal is 136 00:06:37,320 --> 00:06:41,440 Speaker 7: to cut the role of government in American life, and 137 00:06:42,000 --> 00:06:42,360 Speaker 7: we just. 138 00:06:42,320 --> 00:06:43,320 Speaker 4: Got to straighten things out. 139 00:06:43,360 --> 00:06:45,440 Speaker 7: And if that takes another couple of weeks, it takes 140 00:06:45,440 --> 00:06:46,560 Speaker 7: another couple of weeks. 141 00:06:46,839 --> 00:06:49,880 Speaker 1: I mean, that is such a sizeable portion of the 142 00:06:49,920 --> 00:06:52,799 Speaker 1: bill to pay, as you know, for the federal government 143 00:06:52,800 --> 00:06:54,560 Speaker 1: when it comes to these new housing units. 144 00:06:54,720 --> 00:06:55,960 Speaker 2: What's the justification for that? 145 00:06:56,000 --> 00:06:58,360 Speaker 1: Why does anyone think that the federal government should pay 146 00:06:58,360 --> 00:07:00,839 Speaker 1: for that? Well, I shouldn't sa the federal government, the 147 00:07:00,839 --> 00:07:01,800 Speaker 1: American taxpayers. 148 00:07:03,160 --> 00:07:06,440 Speaker 7: Yes, a lot of politicians forget how hard people work 149 00:07:06,720 --> 00:07:07,880 Speaker 7: for their tax dollar. 150 00:07:08,640 --> 00:07:11,240 Speaker 8: They just figure it's free money and they don't care 151 00:07:11,280 --> 00:07:12,480 Speaker 8: if things aren't that good. 152 00:07:12,560 --> 00:07:15,320 Speaker 7: Or maybe the lobbyists just did a good job of 153 00:07:15,400 --> 00:07:18,600 Speaker 7: soft selling the congressmen, or maybe they took them on 154 00:07:18,640 --> 00:07:22,160 Speaker 7: a tour of a lavish apartment building and said, doesn't 155 00:07:22,200 --> 00:07:23,080 Speaker 7: this look nice? 156 00:07:23,240 --> 00:07:25,040 Speaker 4: Why do we build more apartments like this? 157 00:07:25,440 --> 00:07:27,600 Speaker 7: And the fact that seventy percent of it is paid 158 00:07:27,640 --> 00:07:31,160 Speaker 7: for by other people's tax dollars that they worked very 159 00:07:31,200 --> 00:07:31,760 Speaker 7: hard for. 160 00:07:32,200 --> 00:07:35,280 Speaker 8: All of a sudden, the politician forgets that, which happens. 161 00:07:34,920 --> 00:07:37,480 Speaker 7: Way too much and that's why, of course that provision 162 00:07:37,520 --> 00:07:39,960 Speaker 7: is in the ability then expanded, because the type of 163 00:07:39,960 --> 00:07:43,480 Speaker 7: congressmen who wanted to expand that program, they were not 164 00:07:43,680 --> 00:07:47,680 Speaker 7: thinking how hard the taxpayer worked. We should not be 165 00:07:47,840 --> 00:07:51,880 Speaker 7: daging over a million dollars a unit for new construction, 166 00:07:52,240 --> 00:07:53,960 Speaker 7: and particularly. 167 00:07:53,280 --> 00:07:55,640 Speaker 8: On projects that are supposed to be for low in 168 00:07:55,800 --> 00:07:56,360 Speaker 8: gun people. 169 00:07:56,920 --> 00:07:57,240 Speaker 4: Right. 170 00:07:57,360 --> 00:08:00,800 Speaker 1: Absolutely, I hear you, and I can feel your emotion 171 00:08:00,880 --> 00:08:03,040 Speaker 1: in it, because it is just so nonsensical. 172 00:08:04,160 --> 00:08:04,960 Speaker 2: Speaking of non. 173 00:08:04,840 --> 00:08:08,720 Speaker 7: Sense, remember they're selling you this as a conservative bill. 174 00:08:10,720 --> 00:08:14,440 Speaker 1: No, I know, I know, and I mean it's gallows humor. 175 00:08:14,480 --> 00:08:16,520 Speaker 1: I suppose, because I think I think you're exactly right 176 00:08:16,520 --> 00:08:21,280 Speaker 1: about that. But speaking of nonsensical, Senator Chuck Schumer said 177 00:08:21,280 --> 00:08:24,680 Speaker 1: this earlier about the bill. He said, today Senate Republicans 178 00:08:24,680 --> 00:08:28,560 Speaker 1: betrayed the American people and covered the Senate in utter shame. 179 00:08:29,440 --> 00:08:32,600 Speaker 1: And then he said people will die, kids will go hungry. 180 00:08:32,800 --> 00:08:37,280 Speaker 1: I think he's talking about USAID being stripped of waste, 181 00:08:37,320 --> 00:08:38,280 Speaker 1: fraud and abuse. 182 00:08:38,360 --> 00:08:41,120 Speaker 2: But who what is he talking about? 183 00:08:42,559 --> 00:08:42,719 Speaker 5: Oh? 184 00:08:42,840 --> 00:08:46,440 Speaker 7: No, I suppose they are looking hi what we did 185 00:08:46,480 --> 00:08:50,200 Speaker 7: in the past. I think they're looking at some work requirements, 186 00:08:50,280 --> 00:08:53,000 Speaker 7: maybe to get on some welfare programs. 187 00:08:53,040 --> 00:08:55,760 Speaker 8: There's no danger of kid dying. 188 00:08:55,840 --> 00:08:59,360 Speaker 7: And if he's worried about what's going on abroad, he's 189 00:08:59,440 --> 00:09:01,800 Speaker 7: kind of being data because we passed that bill. 190 00:09:01,920 --> 00:09:02,800 Speaker 8: A while back. 191 00:09:02,880 --> 00:09:04,679 Speaker 7: But there was a lot of waste in the foreign 192 00:09:04,720 --> 00:09:07,520 Speaker 7: aid budget, as a matter of fact, worse than wayte 193 00:09:07,600 --> 00:09:10,120 Speaker 7: something to be better off if we didn't spend the 194 00:09:10,160 --> 00:09:13,520 Speaker 7: money at all. Maybe that's what he was talking about, 195 00:09:13,559 --> 00:09:16,160 Speaker 7: but there's no danger there. I don't think there's a 196 00:09:16,240 --> 00:09:20,520 Speaker 7: danger with regard to healthcare. There's so much waste in 197 00:09:20,559 --> 00:09:24,000 Speaker 7: this government. We've got to remember what doge I'm covered 198 00:09:25,679 --> 00:09:28,040 Speaker 7: just a couple months ago, and we've got to remember 199 00:09:28,160 --> 00:09:31,560 Speaker 7: that right now, we're borrowing twenty six percent of our 200 00:09:31,600 --> 00:09:34,200 Speaker 7: federal budget. I think the press got to come back 201 00:09:34,200 --> 00:09:37,079 Speaker 7: at Schumer and say, hey, we're borrowing twenty six percent 202 00:09:37,160 --> 00:09:40,200 Speaker 7: of our budget. One out of every seven of your 203 00:09:40,240 --> 00:09:44,520 Speaker 7: tax dollars is going for interest expense. How much longer 204 00:09:44,520 --> 00:09:47,200 Speaker 7: do they think this is going to continue and America 205 00:09:47,480 --> 00:09:50,880 Speaker 7: still be a great country. I mean, these people, they 206 00:09:50,920 --> 00:09:53,120 Speaker 7: complain about everything like it's the end of the world, 207 00:09:53,240 --> 00:09:55,920 Speaker 7: and I do not think anybody is going to be 208 00:09:55,960 --> 00:09:59,800 Speaker 7: going without food at all, even remotely. As a matter 209 00:09:59,800 --> 00:10:03,079 Speaker 7: of I think right now, there's probably more food out 210 00:10:03,080 --> 00:10:06,600 Speaker 7: there than necessary. Whatever we throw away something on the 211 00:10:06,679 --> 00:10:10,920 Speaker 7: order of I think thirty percent of the food in America, 212 00:10:11,640 --> 00:10:19,080 Speaker 7: and you know, food stamps, school lunch, all that stuff continues. 213 00:10:20,200 --> 00:10:22,480 Speaker 1: Congerson, I suppose you and I are doing quite a 214 00:10:22,480 --> 00:10:24,600 Speaker 1: bit of piling on when it comes to the negatives 215 00:10:24,640 --> 00:10:25,400 Speaker 1: about this bill. 216 00:10:26,000 --> 00:10:26,839 Speaker 2: But there've got to be. 217 00:10:26,760 --> 00:10:28,920 Speaker 1: Some positives because you voted for it. What are some 218 00:10:29,000 --> 00:10:31,559 Speaker 1: of the highlights in this I know, obviously border security, 219 00:10:31,600 --> 00:10:34,480 Speaker 1: this is a historic commitment towards that. 220 00:10:34,559 --> 00:10:35,840 Speaker 2: But what are some of the good things. 221 00:10:36,720 --> 00:10:38,880 Speaker 7: We have to continue the tax cuts that we're put 222 00:10:38,880 --> 00:10:42,040 Speaker 7: in effect in twenty seventy, because not to continue the 223 00:10:42,080 --> 00:10:45,960 Speaker 7: tax cuts means, as a practical matter, a tax. 224 00:10:45,679 --> 00:10:47,240 Speaker 4: Increase for the American public. 225 00:10:48,000 --> 00:10:50,560 Speaker 7: Not only is that bad on an individual basis because 226 00:10:50,600 --> 00:10:53,000 Speaker 7: you and I have less money to spend, but it's 227 00:10:53,040 --> 00:10:55,600 Speaker 7: bad for the economy because if all of a sudden 228 00:10:55,600 --> 00:10:58,440 Speaker 7: people don't have enough money to spend, it hurts business, 229 00:10:58,880 --> 00:11:03,120 Speaker 7: hurts jobs, people in retail and manufacturing, and the holy economy. 230 00:11:03,160 --> 00:11:03,840 Speaker 4: It was sold. 231 00:11:03,880 --> 00:11:06,240 Speaker 7: So I'd say the number one thing is we continue 232 00:11:06,280 --> 00:11:09,160 Speaker 7: the tax cuts to twenty seventeen. I think number two 233 00:11:09,640 --> 00:11:11,680 Speaker 7: I like what they've done with the overtime and no 234 00:11:11,800 --> 00:11:15,160 Speaker 7: tax on overtime. A lot of Americans out there, I 235 00:11:15,160 --> 00:11:18,520 Speaker 7: think would work more hours and would increase the productivity 236 00:11:18,520 --> 00:11:21,320 Speaker 7: of this country if they worked overtime. But if they're 237 00:11:21,360 --> 00:11:24,360 Speaker 7: going to tax you and nail you for thirty forty 238 00:11:24,440 --> 00:11:27,240 Speaker 7: percent of the additional money you make and overtime, a 239 00:11:27,280 --> 00:11:29,480 Speaker 7: lot of people sit at home and say, why should 240 00:11:29,480 --> 00:11:32,440 Speaker 7: I work overtime just to pay the government more money. 241 00:11:32,600 --> 00:11:34,640 Speaker 7: So I think that was a good idea of President 242 00:11:34,679 --> 00:11:39,320 Speaker 7: Trump and will increase the productivity of the average American worker. 243 00:11:40,160 --> 00:11:41,840 Speaker 1: All right, sir, we've just got a few minutes left. 244 00:11:41,840 --> 00:11:45,240 Speaker 1: I want to ask you about something really disturbing. Over 245 00:11:45,320 --> 00:11:49,560 Speaker 1: on CNN, they were reporting on this crowd sourcing app 246 00:11:49,640 --> 00:11:55,679 Speaker 1: that allows people to input locations of ICE raids and 247 00:11:55,760 --> 00:11:58,920 Speaker 1: deportations and arrests and things like that, and CNN. 248 00:11:58,600 --> 00:11:59,280 Speaker 2: Reported on this. 249 00:12:00,160 --> 00:12:02,520 Speaker 1: They're putting it out there making it even more well known. 250 00:12:02,559 --> 00:12:05,200 Speaker 1: And again it's crowdsourcing, so people can contribute to this 251 00:12:05,280 --> 00:12:07,559 Speaker 1: and that's what actually drives the information on the app. 252 00:12:07,880 --> 00:12:10,560 Speaker 1: At the same time, we have this new data out 253 00:12:10,600 --> 00:12:15,559 Speaker 1: that ICE agents that crimes against ICE agents, assaults against 254 00:12:15,600 --> 00:12:18,280 Speaker 1: them have gone up seven hundred percent. 255 00:12:18,640 --> 00:12:22,000 Speaker 2: Do you think they're related, Jimmy related. 256 00:12:23,000 --> 00:12:24,640 Speaker 4: It's their cousins the police. 257 00:12:24,679 --> 00:12:27,760 Speaker 7: And it's a continuation of this idea of we hate 258 00:12:27,880 --> 00:12:30,600 Speaker 7: authority members, we hate the type of people who are 259 00:12:30,679 --> 00:12:33,840 Speaker 7: keeping us safe, and we want them to be physically harmed. 260 00:12:34,160 --> 00:12:37,360 Speaker 7: We went through this in the get rid of the 261 00:12:37,360 --> 00:12:39,320 Speaker 7: Police move went a few years ago, and now let's 262 00:12:39,320 --> 00:12:41,480 Speaker 7: get rid of device and part is we have too 263 00:12:41,520 --> 00:12:47,680 Speaker 7: many childish members of our society, spoiled childish members who 264 00:12:47,720 --> 00:12:50,480 Speaker 7: think we can sit there and accept the ten million 265 00:12:50,520 --> 00:12:53,760 Speaker 7: people that Joe Biden left in this country without damaging 266 00:12:53,800 --> 00:12:56,200 Speaker 7: this country, even if they don't break the law, and 267 00:12:56,200 --> 00:12:58,240 Speaker 7: of course some will break the law. Even if they 268 00:12:58,240 --> 00:13:01,439 Speaker 7: don't break the law, it will find mentally change America. 269 00:13:01,720 --> 00:13:03,640 Speaker 7: It's causing the cost of a lot of things to 270 00:13:03,720 --> 00:13:07,360 Speaker 7: go up. It's increasing the cost of housing. Of course, 271 00:13:07,400 --> 00:13:09,720 Speaker 7: if we have ten thousand more people running around this 272 00:13:09,760 --> 00:13:14,679 Speaker 7: country looking for apartments, and not to mention, it's going 273 00:13:14,720 --> 00:13:18,520 Speaker 7: to change the ideological makeup of the country because a 274 00:13:18,520 --> 00:13:22,480 Speaker 7: lot of these people don't believe in the freedoms that 275 00:13:22,640 --> 00:13:25,640 Speaker 7: we take for granted and our Bill of rights. 276 00:13:25,880 --> 00:13:29,280 Speaker 8: So in many ways, this is a big problem. 277 00:13:29,320 --> 00:13:33,720 Speaker 7: And of course the attacks on ICE are driven by 278 00:13:34,440 --> 00:13:37,800 Speaker 7: the Internet right now, as these radicals are looking for 279 00:13:37,840 --> 00:13:43,640 Speaker 7: people just as Antitha used to to be destructive, and 280 00:13:43,679 --> 00:13:46,160 Speaker 7: they're going to get a given number of unhappy people 281 00:13:46,559 --> 00:13:49,160 Speaker 7: to go along on this side of thing, the Antifa people. 282 00:13:49,559 --> 00:13:52,000 Speaker 1: Yeah, of course, yeah, I mean, I agree, it's pollyannas. 283 00:13:52,080 --> 00:13:54,160 Speaker 1: It is a pie in the sky notion to think 284 00:13:54,160 --> 00:13:56,839 Speaker 1: that you can leave all of these illegals here and 285 00:13:57,240 --> 00:13:59,439 Speaker 1: thank you childish. 286 00:14:00,200 --> 00:14:03,640 Speaker 7: It comes from spoiled people who think they're always going 287 00:14:03,720 --> 00:14:06,760 Speaker 7: to have this wonderful America we have right now, even 288 00:14:06,800 --> 00:14:09,120 Speaker 7: if we let in another fifteen to twenty million people, 289 00:14:09,320 --> 00:14:10,719 Speaker 7: and I'll tell you it's going to be a very 290 00:14:10,720 --> 00:14:13,680 Speaker 7: different America, no longer the great America that you and 291 00:14:13,720 --> 00:14:14,320 Speaker 7: I grew up in. 292 00:14:14,640 --> 00:14:15,040 Speaker 2: Yeah, sir. 293 00:14:15,080 --> 00:14:17,439 Speaker 1: I remember seeing a video shortly before the election of 294 00:14:17,480 --> 00:14:19,240 Speaker 1: a guy who used to be a Democrat, but he 295 00:14:19,320 --> 00:14:22,360 Speaker 1: came out against all of the social justice issues of 296 00:14:22,440 --> 00:14:25,520 Speaker 1: the left, and he basically said, elite democrats, those are 297 00:14:25,520 --> 00:14:28,360 Speaker 1: the people who can afford to worry about social issues. 298 00:14:28,400 --> 00:14:30,480 Speaker 1: The rest of us have to just live our lives, 299 00:14:30,640 --> 00:14:34,240 Speaker 1: work our jobs, pay our taxes, buy groceries by gas 300 00:14:34,280 --> 00:14:36,320 Speaker 1: and move on with our life because it's a luxury 301 00:14:36,360 --> 00:14:39,280 Speaker 1: to think about those types of things. Congress and glad 302 00:14:39,320 --> 00:14:40,920 Speaker 1: growthwin from the great state of Wisconsin. 303 00:14:40,960 --> 00:14:42,080 Speaker 2: Thank you so much for being. 304 00:14:41,960 --> 00:14:44,880 Speaker 8: Here, sir, Thanks for having me, Amanda. 305 00:14:44,720 --> 00:14:47,360 Speaker 1: Absolutely, sir, all right, coming up more on the One 306 00:14:47,400 --> 00:14:50,760 Speaker 1: Big Beautiful Bill. Treasury Secretary Scott Besson says that if 307 00:14:50,800 --> 00:14:52,640 Speaker 1: the bill is signed into law, we are going to 308 00:14:52,680 --> 00:14:55,000 Speaker 1: see incredible growth in the economy. 309 00:14:55,040 --> 00:14:57,760 Speaker 2: But is our debt still a concerning a bet chat. 310 00:14:57,800 --> 00:15:00,480 Speaker 2: We'll talk about that after this breaking. 311 00:15:04,200 --> 00:15:06,320 Speaker 4: Hey, folks, if your homeowner like me, you need to 312 00:15:06,360 --> 00:15:06,800 Speaker 4: listen to this. 313 00:15:07,200 --> 00:15:10,640 Speaker 3: In today's AI and CyberWorld, scammers are stealing home titles 314 00:15:10,640 --> 00:15:12,280 Speaker 3: and your equity is their target. 315 00:15:13,160 --> 00:15:14,040 Speaker 4: Here's how it works. 316 00:15:14,120 --> 00:15:16,960 Speaker 3: Criminals forge your signature on one document, use a fake 317 00:15:17,000 --> 00:15:19,840 Speaker 3: notary stamp, pay a small fee with your county in boom. 318 00:15:19,880 --> 00:15:22,640 Speaker 3: Just like that, your home title has been transferred out 319 00:15:22,640 --> 00:15:24,400 Speaker 3: of your name. 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Go to 337 00:16:05,080 --> 00:16:07,800 Speaker 3: home titlelock dot com and use the promo code JTN. 338 00:16:07,840 --> 00:16:11,680 Speaker 3: That's homettlelock dot com promo code JTN. 339 00:16:19,360 --> 00:16:21,400 Speaker 1: Welcome back to just the News, no Noise. The one 340 00:16:21,440 --> 00:16:24,280 Speaker 1: Big Beautiful Bill has officially passed the Senate and now 341 00:16:24,280 --> 00:16:26,760 Speaker 1: it goes back to the House where we get ready 342 00:16:26,760 --> 00:16:27,760 Speaker 1: for somewhere in debate. 343 00:16:27,840 --> 00:16:30,479 Speaker 2: And that begs the question, what are the actual pros. 344 00:16:30,240 --> 00:16:32,880 Speaker 1: And cons of this bill? We have seen former allies 345 00:16:32,920 --> 00:16:35,640 Speaker 1: at President Trump like Elon Musk come out against the 346 00:16:35,680 --> 00:16:38,280 Speaker 1: bill for adding too much to the debt or the deficit. 347 00:16:38,320 --> 00:16:40,920 Speaker 1: But we have also heard senators and Congressmen who have 348 00:16:41,200 --> 00:16:44,320 Speaker 1: voted for the bill saying that it actually cuts spending. 349 00:16:44,440 --> 00:16:46,480 Speaker 1: So joining us now to break it all down, break 350 00:16:46,480 --> 00:16:48,680 Speaker 1: down the ins and outs of this bill and what 351 00:16:48,720 --> 00:16:51,080 Speaker 1: it means for the economy and the American people is 352 00:16:51,160 --> 00:16:55,440 Speaker 1: economists from the American Institute for Economic Research, Thomas Savage. Thomas, 353 00:16:55,440 --> 00:16:56,520 Speaker 1: thanks so much for being. 354 00:16:56,360 --> 00:16:58,480 Speaker 4: Here, Thanks for having me on, Amanda. 355 00:16:58,640 --> 00:17:00,240 Speaker 2: All right, I want to start. 356 00:17:00,360 --> 00:17:03,520 Speaker 1: Let's start at budgeting one oh one, because I think 357 00:17:03,560 --> 00:17:06,199 Speaker 1: for the American people, it just seems really wonky that 358 00:17:06,240 --> 00:17:08,960 Speaker 1: you can cut spending at the same time that a bill, 359 00:17:09,000 --> 00:17:12,400 Speaker 1: a budget bill, or a reconciliation bill increases the debt 360 00:17:12,480 --> 00:17:16,359 Speaker 1: or the deficit. But those three things can coexist, can 361 00:17:16,400 --> 00:17:16,639 Speaker 1: they not? 362 00:17:16,800 --> 00:17:18,680 Speaker 9: And how well? 363 00:17:18,720 --> 00:17:21,520 Speaker 10: So this is something that's called a reconciliation bill, and 364 00:17:21,800 --> 00:17:25,200 Speaker 10: that's where we can that's where Congress tries to usher 365 00:17:25,240 --> 00:17:29,480 Speaker 10: the bill, usher a spending bill through through an expedited 366 00:17:29,560 --> 00:17:32,560 Speaker 10: process to try to get in something faster than the 367 00:17:32,600 --> 00:17:35,240 Speaker 10: normal budget process. We've seen this not just with a 368 00:17:35,240 --> 00:17:38,720 Speaker 10: one big, beautiful bill, with those numerous omnimous bills over 369 00:17:38,760 --> 00:17:41,399 Speaker 10: the years where Congress is trying to get something on 370 00:17:41,440 --> 00:17:44,400 Speaker 10: the President's desk by the eleventh hour. Makes you think 371 00:17:44,400 --> 00:17:47,400 Speaker 10: of those students in school that we're working on something 372 00:17:47,440 --> 00:17:50,240 Speaker 10: and just submitting it before the deadline at eleven fifty 373 00:17:50,320 --> 00:17:53,400 Speaker 10: nine pm. And so that's kind of what's going on there. 374 00:17:53,440 --> 00:17:56,480 Speaker 10: They're trying to meet that July fourth deadline. But I 375 00:17:56,480 --> 00:17:59,920 Speaker 10: think as a representative, growthman just before me said they'd 376 00:18:00,080 --> 00:18:02,639 Speaker 10: either have a good bill get in on July twenty first, 377 00:18:02,680 --> 00:18:05,520 Speaker 10: and try to rush something in that's not great on 378 00:18:05,920 --> 00:18:06,760 Speaker 10: July fourth. 379 00:18:07,359 --> 00:18:08,040 Speaker 2: Yeah. 380 00:18:08,080 --> 00:18:10,080 Speaker 1: And by the way, I was a college student for 381 00:18:10,119 --> 00:18:12,680 Speaker 1: practically every single good lighte So now I'm in the share. 382 00:18:12,760 --> 00:18:14,760 Speaker 4: We've all had those moments, We've all let uh. 383 00:18:15,480 --> 00:18:19,120 Speaker 1: Yeah, yeah, I'm sure those moments are few and are between. 384 00:18:19,160 --> 00:18:21,080 Speaker 2: For me, I'm sure. All right, the good, the bad, 385 00:18:21,119 --> 00:18:23,240 Speaker 2: and the ugly of this bill. What's good? 386 00:18:24,400 --> 00:18:26,359 Speaker 10: So the good thing is the good thing is the 387 00:18:26,400 --> 00:18:30,159 Speaker 10: extension of the twenty seventeen tax cuts. We like to 388 00:18:30,160 --> 00:18:32,399 Speaker 10: see that. We want to see Americans keep what they're earning, 389 00:18:32,400 --> 00:18:34,480 Speaker 10: because otherwise they would have been hit with a tax hike. 390 00:18:35,359 --> 00:18:37,399 Speaker 10: You'd like to see those you know, you want to 391 00:18:37,440 --> 00:18:39,959 Speaker 10: see you want to see those no taxes on overtime. 392 00:18:40,520 --> 00:18:42,280 Speaker 10: You want to see those. It's good that, you know, 393 00:18:42,320 --> 00:18:44,600 Speaker 10: it's good that Americans are keeping their hard earned money. 394 00:18:44,840 --> 00:18:47,359 Speaker 10: But even with this good stuff, it's a first step 395 00:18:47,400 --> 00:18:50,160 Speaker 10: on a long road ahead. We need to the long 396 00:18:50,320 --> 00:18:53,919 Speaker 10: term goal there should be simplifying the tax code instead 397 00:18:53,960 --> 00:18:56,720 Speaker 10: of having, you know, a graduated income tax system with 398 00:18:56,840 --> 00:19:01,119 Speaker 10: different rates for different different incomes and dozens of escape 399 00:19:01,119 --> 00:19:04,560 Speaker 10: hatches so people end up declaring lower income or fewer 400 00:19:04,560 --> 00:19:06,360 Speaker 10: income or saying this is exempted. 401 00:19:06,440 --> 00:19:09,280 Speaker 4: That simplify things. Keep it simple. 402 00:19:09,640 --> 00:19:12,320 Speaker 10: You should be able to file your taxes on a postcard. 403 00:19:12,720 --> 00:19:15,639 Speaker 10: That's how simple it should be. Is that way you 404 00:19:15,680 --> 00:19:19,800 Speaker 10: know it's there's reduces uncertainty. Everybody pays a flat rate 405 00:19:20,200 --> 00:19:22,920 Speaker 10: and you save time, you save money, you keep your 406 00:19:22,920 --> 00:19:25,200 Speaker 10: hard earned money, and you don't get punished for making 407 00:19:25,240 --> 00:19:25,960 Speaker 10: more money either. 408 00:19:26,240 --> 00:19:27,439 Speaker 2: Well and Thomas, what happened to that? 409 00:19:27,480 --> 00:19:29,360 Speaker 1: Because that was I remember that was a big initiative 410 00:19:29,400 --> 00:19:32,240 Speaker 1: during President Trump's first term, and then President Trump was 411 00:19:32,280 --> 00:19:34,840 Speaker 1: out of office, Danny warfol came in and that initiative 412 00:19:34,920 --> 00:19:38,760 Speaker 1: fell completely flat. Is there you think there's any chance 413 00:19:38,760 --> 00:19:40,080 Speaker 1: that they'll pick that football up again. 414 00:19:41,400 --> 00:19:45,560 Speaker 10: Well, let's hope, but the jury's still out on that one. Unfortunately, 415 00:19:45,720 --> 00:19:49,119 Speaker 10: with as with anything in Washington, you know, once something 416 00:19:49,119 --> 00:19:52,040 Speaker 10: gets started, it's very hard to stop it even harder 417 00:19:52,040 --> 00:19:55,399 Speaker 10: to get something to reverse course. So even just trying 418 00:19:55,440 --> 00:19:58,320 Speaker 10: to undo a lot of the Medicaid expansion that's happened 419 00:19:58,359 --> 00:20:02,000 Speaker 10: over the previous administration and try to rein in a 420 00:20:02,000 --> 00:20:04,240 Speaker 10: lot of that waste, fraud, and abuse that we're seeing 421 00:20:04,280 --> 00:20:07,720 Speaker 10: in these government funded healthcare programs, just to keep them, 422 00:20:08,359 --> 00:20:10,919 Speaker 10: just to keep them financially stable at least for a 423 00:20:10,960 --> 00:20:14,960 Speaker 10: couple more years instead of having them dangerously run close 424 00:20:15,000 --> 00:20:17,360 Speaker 10: to the edge. There is proving to be more difficult 425 00:20:17,400 --> 00:20:18,119 Speaker 10: than expected. 426 00:20:19,119 --> 00:20:21,200 Speaker 1: All Right, So I already know what you're going to 427 00:20:21,240 --> 00:20:22,800 Speaker 1: say about the bad part of this bill, and I 428 00:20:22,840 --> 00:20:25,359 Speaker 1: totally agree with respect to the state and local tax 429 00:20:25,400 --> 00:20:29,320 Speaker 1: seduction cap that was raised to forty thousand dollars. 430 00:20:29,359 --> 00:20:30,200 Speaker 2: What was it before? 431 00:20:31,440 --> 00:20:34,000 Speaker 4: So previously it was capped at ten thousand dollars. 432 00:20:34,000 --> 00:20:36,680 Speaker 10: That came out under the Tax Cuts and Jobs Act 433 00:20:36,720 --> 00:20:37,960 Speaker 10: back in twenty seventeen. 434 00:20:38,400 --> 00:20:39,560 Speaker 4: And so when you think. 435 00:20:39,400 --> 00:20:44,240 Speaker 10: About this, it's really it allows big tax and spending states, 436 00:20:44,280 --> 00:20:47,480 Speaker 10: States like California, states like Illinois, states like New York 437 00:20:47,960 --> 00:20:50,959 Speaker 10: to tax and spend as much as they like, and 438 00:20:51,000 --> 00:20:55,120 Speaker 10: that have some of that offset by taxpayers in other states. 439 00:20:55,280 --> 00:20:56,760 Speaker 4: If you're paying you know, if you're. 440 00:20:56,680 --> 00:20:59,600 Speaker 10: Paying higher taxes, If you're paying higher taxes, you deduct 441 00:20:59,600 --> 00:21:02,000 Speaker 10: some of that in your federal tax bill, and that 442 00:21:02,160 --> 00:21:05,680 Speaker 10: ends up being covered by the tax payments of folks 443 00:21:05,720 --> 00:21:08,080 Speaker 10: who are living in low tax states. And so in 444 00:21:08,119 --> 00:21:12,480 Speaker 10: a way, SALT allows irresponsible government spending at the state level. 445 00:21:12,800 --> 00:21:14,680 Speaker 10: And for those folks that are still in the high 446 00:21:14,680 --> 00:21:17,199 Speaker 10: tax states, I would say, like you know, many of 447 00:21:17,200 --> 00:21:20,320 Speaker 10: my friends and family in New York, it's not the 448 00:21:20,359 --> 00:21:23,440 Speaker 10: federal government's fault. It's not Washington's fault that your state 449 00:21:23,480 --> 00:21:27,440 Speaker 10: tax bill is bigger. It's Albany's fault. The state governments 450 00:21:27,720 --> 00:21:30,840 Speaker 10: need to rein in spending just as much as DC does. 451 00:21:31,240 --> 00:21:34,560 Speaker 1: Yeah, well, and I hate to talk about the obvious, 452 00:21:34,640 --> 00:21:36,280 Speaker 1: but when it comes, I mean, if you've got a 453 00:21:36,320 --> 00:21:39,120 Speaker 1: forty thousand dollars cap on state and local taxes, anyone 454 00:21:39,119 --> 00:21:43,160 Speaker 1: who's paying forty thousand dollars just in state and local taxes, 455 00:21:43,359 --> 00:21:44,920 Speaker 1: I'm pretty sure they're doing just fine. 456 00:21:44,920 --> 00:21:47,159 Speaker 2: And maybe they don't need the deductions to begin with. 457 00:21:49,000 --> 00:21:51,800 Speaker 10: Well, that's the That's the difficult thing is, of course 458 00:21:51,840 --> 00:21:54,600 Speaker 10: a dollar goes only goes so far in certain states. 459 00:21:54,640 --> 00:21:56,960 Speaker 10: It goes much farther in low tax states than it 460 00:21:57,000 --> 00:21:59,679 Speaker 10: doesn't higher tax states. And you know, it's like I 461 00:21:59,680 --> 00:22:01,440 Speaker 10: can you can kind of feel the sympathy if you 462 00:22:02,000 --> 00:22:05,040 Speaker 10: hear from folks that they're losing, they're losing money, they're 463 00:22:05,080 --> 00:22:06,760 Speaker 10: not being able to keep their harder and money. But 464 00:22:06,840 --> 00:22:10,639 Speaker 10: that should translate into pressure on state and local governments 465 00:22:10,760 --> 00:22:14,800 Speaker 10: to budget more responsibly and at best, you know, the 466 00:22:14,800 --> 00:22:17,159 Speaker 10: folks that are being hit by salt. You knows, salt 467 00:22:17,240 --> 00:22:19,639 Speaker 10: is at best a band aid, but for those folks 468 00:22:19,640 --> 00:22:23,040 Speaker 10: that are really being hit. But ultimately, again it's hurting 469 00:22:23,280 --> 00:22:28,160 Speaker 10: the majority of Americans. It's the majority of Americans covering 470 00:22:28,400 --> 00:22:33,200 Speaker 10: the tax bills of folks, of wealthy folks in high 471 00:22:33,240 --> 00:22:34,480 Speaker 10: tags and spending states. 472 00:22:34,840 --> 00:22:35,520 Speaker 2: Yeah. 473 00:22:35,560 --> 00:22:38,560 Speaker 1: Well, as a Californian, I don't expect Gavin Newsom or 474 00:22:38,600 --> 00:22:40,879 Speaker 1: anybody in Sacramento to have any type of come to 475 00:22:40,960 --> 00:22:43,240 Speaker 1: Jesus moment when it comes to budgeting. But I guess 476 00:22:43,800 --> 00:22:45,760 Speaker 1: we can certainly hope that the pressure would be put on. 477 00:22:45,800 --> 00:22:48,480 Speaker 1: All right, the ugly part of this that I mean 478 00:22:48,480 --> 00:22:50,639 Speaker 1: this is this is a big piece of legislation. It 479 00:22:50,720 --> 00:22:52,920 Speaker 1: is in the name of the bill, big beautiful bill. 480 00:22:53,600 --> 00:22:56,000 Speaker 1: So there's obviously going to be a lot of compromise. 481 00:22:56,160 --> 00:23:01,040 Speaker 1: It means diluting some of the meaningful reforms Medicaid, reducing 482 00:23:01,040 --> 00:23:03,720 Speaker 1: green energy subsidies, what happened to all of that. I mean, 483 00:23:03,720 --> 00:23:05,800 Speaker 1: it obviously is not as potent as it was before. 484 00:23:07,480 --> 00:23:10,280 Speaker 10: Well, like you said, you know these bills, you any 485 00:23:10,320 --> 00:23:14,080 Speaker 10: piece of legislation, but especially the large pieces there. You know, 486 00:23:14,200 --> 00:23:17,679 Speaker 10: legislation in this country requires compromise to get across the 487 00:23:17,680 --> 00:23:18,520 Speaker 10: finish line. 488 00:23:18,680 --> 00:23:19,800 Speaker 4: And so there are going to be. 489 00:23:19,760 --> 00:23:23,479 Speaker 10: Members of both Houses of Congress that aren't quite happy 490 00:23:23,560 --> 00:23:27,080 Speaker 10: with the you know, with the straightforward cuts. So they're 491 00:23:27,080 --> 00:23:29,640 Speaker 10: going to want to water stuff down or add things here, 492 00:23:29,960 --> 00:23:33,760 Speaker 10: or extend the timeline on these certain things. But you know, 493 00:23:33,800 --> 00:23:36,199 Speaker 10: I think it was really interesting that even with the 494 00:23:36,240 --> 00:23:40,520 Speaker 10: watering down of those Medicaid reforms, speaking of speaking of 495 00:23:40,560 --> 00:23:47,480 Speaker 10: Governor Newsom, I was surprised to see that this week California, Illinois, Minnesota, 496 00:23:47,520 --> 00:23:52,679 Speaker 10: and Washington d c ended Medicaid coverage for illegal immigrants, 497 00:23:52,720 --> 00:23:56,159 Speaker 10: and California was even talking about adding a premium for 498 00:23:56,320 --> 00:23:58,400 Speaker 10: Medicaid on legal. 499 00:23:58,040 --> 00:23:59,960 Speaker 4: Immigrants, and I think that show. 500 00:24:00,040 --> 00:24:02,440 Speaker 10: Oh it was really the states, like you had mentioned, 501 00:24:02,880 --> 00:24:05,760 Speaker 10: Of all places, I'm surprised California's having this commed the 502 00:24:05,840 --> 00:24:09,840 Speaker 10: Jesus moment where they're realizing that, whether it happens in 503 00:24:09,880 --> 00:24:13,320 Speaker 10: this bill or sometime in the near future, Medicaid cuts 504 00:24:13,359 --> 00:24:17,480 Speaker 10: are coming. So they would rather make those Medicaid changes 505 00:24:17,640 --> 00:24:22,040 Speaker 10: on their own terms than have some surprise rug pull 506 00:24:22,200 --> 00:24:25,040 Speaker 10: happened to them when the federal government says, hoops, we 507 00:24:25,080 --> 00:24:27,800 Speaker 10: can't afford to keep things going the way they are. 508 00:24:28,160 --> 00:24:30,520 Speaker 10: We need to adjust the matching rate, and the states 509 00:24:30,560 --> 00:24:33,200 Speaker 10: need to pick up more of the bill. So that 510 00:24:33,400 --> 00:24:36,200 Speaker 10: was you know, I was surprised, but at the very least, 511 00:24:36,240 --> 00:24:39,399 Speaker 10: it's good to see folks in these high good to seeing, 512 00:24:39,440 --> 00:24:41,840 Speaker 10: of all places, California, it's good to see them waking 513 00:24:41,880 --> 00:24:43,040 Speaker 10: up in Sacramento to this. 514 00:24:43,320 --> 00:24:43,520 Speaker 6: Yeah. 515 00:24:43,560 --> 00:24:46,480 Speaker 1: Well, California had a twelve billion dollar deficit that was 516 00:24:46,560 --> 00:24:49,840 Speaker 1: ever increasing, so you know, they claim to have sympathy 517 00:24:49,840 --> 00:24:51,920 Speaker 1: for illegal immigrants, but I guess they had to put 518 00:24:51,920 --> 00:24:53,919 Speaker 1: a price tag on that sympathy and turns out as 519 00:24:53,920 --> 00:24:58,879 Speaker 1: twelve billion dollars. So yes, Economist Thomas Savage, this was 520 00:24:58,920 --> 00:25:00,000 Speaker 1: such a great conversation. 521 00:25:00,280 --> 00:25:01,600 Speaker 2: Thank you so much for being here. 522 00:25:02,240 --> 00:25:02,920 Speaker 4: Thanks Amanda. 523 00:25:03,240 --> 00:25:05,240 Speaker 2: Absolutely, all right, everybody after the break. 524 00:25:05,640 --> 00:25:08,760 Speaker 1: Remember all of the high level investment firms like Blackrock 525 00:25:08,840 --> 00:25:11,000 Speaker 1: pushing woke ESG policies. 526 00:25:11,040 --> 00:25:12,960 Speaker 2: We haven't heard much about that in a little while. 527 00:25:13,040 --> 00:25:14,800 Speaker 2: Is it still happening? Is it still an issue. 528 00:25:14,800 --> 00:25:16,840 Speaker 1: We're going to talk to the founder of a fund 529 00:25:16,880 --> 00:25:20,600 Speaker 1: who is fighting against woke ESG investment policies about that. 530 00:25:20,760 --> 00:25:21,040 Speaker 11: Next. 531 00:25:25,960 --> 00:25:26,600 Speaker 2: Tell me the truth. 532 00:25:26,680 --> 00:25:29,199 Speaker 1: How many different beauty potions do you have sitting on 533 00:25:29,240 --> 00:25:32,080 Speaker 1: your bathroom counter right now? If it's more than just 534 00:25:32,200 --> 00:25:35,520 Speaker 1: vibrant super ccrum, listen up. 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So go to vibrants dot 545 00:26:05,240 --> 00:26:08,200 Speaker 1: com slash just news to save up to thirty seven 546 00:26:08,280 --> 00:26:12,320 Speaker 1: percent off and free shipping. That is Vibrance v b 547 00:26:12,640 --> 00:26:17,280 Speaker 1: r ia Ncee Vibrance dot com slashes news. 548 00:26:24,960 --> 00:26:25,960 Speaker 2: Welcome back, everybody. 549 00:26:26,080 --> 00:26:30,160 Speaker 1: The fight against woke capitalism is just escalated. The American 550 00:26:30,240 --> 00:26:34,360 Speaker 1: Conservative Values Fund, or ACVF for short, is a proudly 551 00:26:34,440 --> 00:26:38,000 Speaker 1: anti woke investment fund traded on the New York Stock Exchange, 552 00:26:38,040 --> 00:26:41,719 Speaker 1: and they are taking Airbnb to court after the company 553 00:26:41,760 --> 00:26:45,240 Speaker 1: shut down a shareholder proposal that dared to challenge its 554 00:26:45,240 --> 00:26:48,840 Speaker 1: political agenda, backed by Heritage by the Heritage Foundation, the 555 00:26:48,880 --> 00:26:52,520 Speaker 1: lawsuit argues that Airbnb broke the rules by refusing to 556 00:26:52,600 --> 00:26:55,760 Speaker 1: let shareholders even vote on a simple request, which was 557 00:26:55,800 --> 00:26:59,399 Speaker 1: basically just to stop playing politics and focus on running 558 00:26:59,440 --> 00:26:59,840 Speaker 1: the business. 559 00:27:00,040 --> 00:27:02,600 Speaker 2: Imagine that. So joining us now is William Flag. 560 00:27:02,720 --> 00:27:05,639 Speaker 1: He's the founder and CEO of the American Conservative Value 561 00:27:05,880 --> 00:27:07,040 Speaker 1: Fun William, thanks. 562 00:27:06,880 --> 00:27:07,800 Speaker 2: So much for being here. 563 00:27:08,359 --> 00:27:09,479 Speaker 4: Thank you for having me, Amanda. 564 00:27:09,960 --> 00:27:12,199 Speaker 1: All right, so I want to actually go to the 565 00:27:12,240 --> 00:27:15,800 Speaker 1: origins story of this lawsuit because there had to have 566 00:27:15,920 --> 00:27:20,280 Speaker 1: been some instances, some pseudo scandals or whatever with Airbnb 567 00:27:20,880 --> 00:27:24,960 Speaker 1: that caused a shareholder or shareholders to bring up the 568 00:27:25,000 --> 00:27:27,119 Speaker 1: point that they should not be politicized. 569 00:27:27,600 --> 00:27:31,440 Speaker 2: Did that happen, Yes, I mean there's. 570 00:27:31,280 --> 00:27:35,600 Speaker 6: A couple of instances a few years back, a few 571 00:27:35,680 --> 00:27:39,440 Speaker 6: years back where we became concerned that they were using 572 00:27:39,480 --> 00:27:41,880 Speaker 6: their matching system, which is essentially kind. 573 00:27:41,720 --> 00:27:41,919 Speaker 4: Of a. 574 00:27:43,560 --> 00:27:47,000 Speaker 6: Credit score, if you will, for the people renting and 575 00:27:47,040 --> 00:27:51,639 Speaker 6: the people renters, and that algorithm has the ability to 576 00:27:51,680 --> 00:27:56,440 Speaker 6: discriminate against politically conservative people. That ability decriminate events do 577 00:27:56,440 --> 00:27:59,000 Speaker 6: you want anyone, But our concern is that it could 578 00:27:59,040 --> 00:28:02,399 Speaker 6: be used, you know, for that purpose, and there was 579 00:28:02,640 --> 00:28:05,399 Speaker 6: some evidence that that appeared to be the case, and 580 00:28:05,800 --> 00:28:09,720 Speaker 6: that's kind of why we took the action we did 581 00:28:09,720 --> 00:28:10,919 Speaker 6: to submit the proposal. 582 00:28:11,560 --> 00:28:13,760 Speaker 2: Yeah, all right, So tell us about this lawsuit. 583 00:28:13,760 --> 00:28:17,680 Speaker 1: What exactly are you guys targeting and what's the strategy. 584 00:28:17,880 --> 00:28:20,160 Speaker 4: Yes, so it's it is somewhat unusual. 585 00:28:20,200 --> 00:28:24,440 Speaker 6: So the fund primarily we try to avoid the companies 586 00:28:24,920 --> 00:28:27,119 Speaker 6: that we feel the most hostile to conservative values. 587 00:28:27,760 --> 00:28:29,840 Speaker 4: We keep them out of the portfolio. 588 00:28:30,520 --> 00:28:32,560 Speaker 6: For companies we do own, I'd say it's the next 589 00:28:32,680 --> 00:28:36,440 Speaker 6: level of advocacy. We submit shareholder proposals. It's the right 590 00:28:36,480 --> 00:28:40,960 Speaker 6: of every shareholder to do so. We've been doing that 591 00:28:41,040 --> 00:28:43,800 Speaker 6: for a few years at this point with various companies, 592 00:28:44,240 --> 00:28:48,080 Speaker 6: and Airbnb was the first that, you know, lost the 593 00:28:48,120 --> 00:28:50,719 Speaker 6: proposal so to speak. There's rules where you mail at, 594 00:28:50,720 --> 00:28:52,320 Speaker 6: how you address it when it has to get there, 595 00:28:52,880 --> 00:28:55,360 Speaker 6: and they lost the proposal. And not only did they 596 00:28:55,360 --> 00:29:00,680 Speaker 6: lose that proposal, they lost Heritage Foundations proposal as well. 597 00:29:01,080 --> 00:29:04,480 Speaker 6: And somehow they didn't lose a proposal, a liberal proposal 598 00:29:04,520 --> 00:29:11,320 Speaker 6: from Connecticut Retirement Fund. So so as it's very rare 599 00:29:11,360 --> 00:29:13,560 Speaker 6: that this happens, and I think it's even more rare 600 00:29:13,640 --> 00:29:15,960 Speaker 6: what happens next, which is when we brought it to 601 00:29:15,960 --> 00:29:16,479 Speaker 6: their attention. 602 00:29:17,720 --> 00:29:19,760 Speaker 4: They didn't at that point say, oh, you know, we 603 00:29:19,840 --> 00:29:20,520 Speaker 4: made a mistake. 604 00:29:21,240 --> 00:29:25,680 Speaker 6: Let's let's it's a little extra work, but let's use proxies. 605 00:29:26,520 --> 00:29:29,560 Speaker 4: They just said it was lost, and you know, that's it. 606 00:29:30,040 --> 00:29:34,360 Speaker 6: No recourse, and that's when the decision is made to 607 00:29:34,080 --> 00:29:35,040 Speaker 6: to take them to. 608 00:29:35,080 --> 00:29:36,240 Speaker 4: Court to sue them. 609 00:29:36,720 --> 00:29:39,040 Speaker 1: So here's what I don't understand. And this seems like 610 00:29:39,120 --> 00:29:41,920 Speaker 1: kind of a conundrum for liberals. And I guess maybe 611 00:29:41,960 --> 00:29:45,120 Speaker 1: it's because they maybe they're just so consumed with their ideology. 612 00:29:45,440 --> 00:29:49,240 Speaker 1: But if they think that their ideology is so morally right, 613 00:29:49,400 --> 00:29:53,000 Speaker 1: it's so ethically proper, it is so popular, then why 614 00:29:53,040 --> 00:29:55,720 Speaker 1: are they so afraid to have the consensus of their 615 00:29:55,760 --> 00:29:56,720 Speaker 1: shareholders on it? 616 00:29:57,840 --> 00:29:58,080 Speaker 4: Yeah? 617 00:29:58,120 --> 00:30:00,720 Speaker 6: I mean, but on a side that that drives me 618 00:30:00,800 --> 00:30:03,840 Speaker 6: crazy is they just think they have the moral high ground. 619 00:30:04,880 --> 00:30:06,640 Speaker 4: And it's it's. 620 00:30:06,440 --> 00:30:08,080 Speaker 2: Perplexing, It absolutely is. 621 00:30:08,760 --> 00:30:12,120 Speaker 1: So we are seeing a lot of companies put woke ideology, 622 00:30:12,440 --> 00:30:16,640 Speaker 1: you know, DEI hiring esg investments, even anti Israel activism. 623 00:30:16,680 --> 00:30:19,400 Speaker 1: They are putting that ahead of profits and therefore putting 624 00:30:19,400 --> 00:30:22,800 Speaker 1: it ahead of the profits of their shareholders. How how 625 00:30:22,840 --> 00:30:25,040 Speaker 1: did we get to this place in this country where 626 00:30:25,080 --> 00:30:28,640 Speaker 1: Fortune five hundred companies are more concerned about caving to 627 00:30:28,760 --> 00:30:32,160 Speaker 1: woke ink than they are focusing on core values like oh, 628 00:30:32,280 --> 00:30:33,360 Speaker 1: I don't know, making money. 629 00:30:34,800 --> 00:30:36,880 Speaker 4: Yeah, well, it took a while, it took a while 630 00:30:36,880 --> 00:30:37,320 Speaker 4: to happen. 631 00:30:37,520 --> 00:30:40,960 Speaker 6: And I believe the pendulum has you know, reached its 632 00:30:41,200 --> 00:30:44,280 Speaker 6: apex and it's going the other way, which is which 633 00:30:44,320 --> 00:30:45,000 Speaker 6: is the good news. 634 00:30:45,040 --> 00:30:46,080 Speaker 4: And uh, you. 635 00:30:46,000 --> 00:30:48,080 Speaker 6: Know, Donald Trump's exerting a lot of pressure on them 636 00:30:48,400 --> 00:30:52,040 Speaker 6: as long as you know, as well as conservative advocacy groups. 637 00:30:52,280 --> 00:30:55,400 Speaker 6: But I think it's you know, it goes back away 638 00:30:55,560 --> 00:31:00,440 Speaker 6: the conservatives of a silent majority so whenever the left 639 00:31:00,560 --> 00:31:04,280 Speaker 6: is offended, you know, it's there's there's this outrage and 640 00:31:04,560 --> 00:31:08,440 Speaker 6: mobilization and activism on their end, and they do have 641 00:31:08,520 --> 00:31:13,920 Speaker 6: some captive CEOs like Larry Fink and some of the 642 00:31:13,920 --> 00:31:17,560 Speaker 6: tech CEOs that are that are true believers in this stuff. 643 00:31:17,600 --> 00:31:20,160 Speaker 6: And just basically the path of these resistance for corporate 644 00:31:20,200 --> 00:31:23,440 Speaker 6: America to to not get yelled at was to to 645 00:31:23,600 --> 00:31:28,600 Speaker 6: bow to you know, uh pressure from the left. You know, 646 00:31:29,000 --> 00:31:34,560 Speaker 6: the boycott's, shareholder proposals just conversations in the public square. 647 00:31:35,000 --> 00:31:38,600 Speaker 6: Whereas conservatives, I think I'd say, we you know, we 648 00:31:38,720 --> 00:31:40,520 Speaker 6: get upset once in a while, make some noise, but 649 00:31:40,640 --> 00:31:43,840 Speaker 6: it is never anything sustained. And I think we're finally 650 00:31:43,880 --> 00:31:48,800 Speaker 6: at the point where we have a sustained voice to 651 00:31:48,960 --> 00:31:52,680 Speaker 6: put reinforced at the companies to the shareholders are first. 652 00:31:52,680 --> 00:31:55,240 Speaker 4: It's not stakeholder capitalism, shareholder. 653 00:31:54,840 --> 00:32:00,040 Speaker 6: Capitalism, and and companies are starting to move back towards new. 654 00:32:00,840 --> 00:32:03,440 Speaker 1: Yeah, William, I remember a few years ago I was 655 00:32:03,520 --> 00:32:06,920 Speaker 1: keeping a very close eye on the activities of Black Rock, 656 00:32:07,000 --> 00:32:09,560 Speaker 1: and they seem to be very anti American because they, 657 00:32:09,680 --> 00:32:12,760 Speaker 1: you know, we're participating in the sale of land, you know, 658 00:32:13,080 --> 00:32:16,200 Speaker 1: even properties and investments to the Chinese, even down to 659 00:32:16,320 --> 00:32:17,920 Speaker 1: like talent agencies in Hollywood. 660 00:32:17,960 --> 00:32:20,000 Speaker 2: It was bizarre. Are they still up to their same 661 00:32:20,000 --> 00:32:20,520 Speaker 2: old tricks? 662 00:32:22,040 --> 00:32:26,320 Speaker 6: Well, Larry, I think publicly has backed away from a 663 00:32:26,320 --> 00:32:31,200 Speaker 6: lot of the DEI initiatives. In particular, he's such a 664 00:32:31,240 --> 00:32:33,760 Speaker 6: true blue believer, and when when something like this happens, 665 00:32:33,800 --> 00:32:35,440 Speaker 6: I mean, you have to question this sincerity, right. 666 00:32:35,440 --> 00:32:39,920 Speaker 4: Obviously he's under a lot of pressure at. 667 00:32:39,240 --> 00:32:43,360 Speaker 6: This point to at least not be so public with 668 00:32:43,400 --> 00:32:46,600 Speaker 6: his viewpoints. So you know, they give the impression that 669 00:32:47,280 --> 00:32:49,720 Speaker 6: they've changed or they're going in the right direction. 670 00:32:50,760 --> 00:32:52,240 Speaker 4: Of course we have to question. 671 00:32:52,000 --> 00:32:57,000 Speaker 6: This sincerity and see where it goes. But you know 672 00:32:57,120 --> 00:33:00,120 Speaker 6: the overtures are are there that he's toning it down? 673 00:33:00,520 --> 00:33:03,160 Speaker 1: Yeah, William, I don't know if a lot of our 674 00:33:03,200 --> 00:33:05,920 Speaker 1: audience is familiar with your organization. They probably are, but 675 00:33:05,960 --> 00:33:09,120 Speaker 1: I want them to know more about American Conservative Values fund. 676 00:33:09,120 --> 00:33:10,120 Speaker 2: So give everybody just. 677 00:33:10,080 --> 00:33:11,640 Speaker 1: A bit of a primer on the types of things 678 00:33:11,680 --> 00:33:13,480 Speaker 1: that you invest in, what your mission is. 679 00:33:13,840 --> 00:33:14,920 Speaker 2: Tell everybody about that. 680 00:33:15,800 --> 00:33:18,440 Speaker 6: Sure, thank you, Yes, I mean we launched in twenty twenty, 681 00:33:19,400 --> 00:33:22,840 Speaker 6: the right really tough time to launch. We launched right 682 00:33:22,840 --> 00:33:26,680 Speaker 6: after the election of twenty twenty, and it was pretty 683 00:33:26,720 --> 00:33:30,800 Speaker 6: much a low point for concerns that I spoke with, 684 00:33:30,880 --> 00:33:35,720 Speaker 6: and then we had the Black Lives Matter and. 685 00:33:34,520 --> 00:33:36,000 Speaker 4: You know, all of that. 686 00:33:36,040 --> 00:33:39,960 Speaker 6: It was a difficult time, and we launched and the 687 00:33:40,040 --> 00:33:42,560 Speaker 6: idea was, you know, kind of like we were talked 688 00:33:42,560 --> 00:33:46,320 Speaker 6: about earlier, let's get politics out of the companies. Let's 689 00:33:46,360 --> 00:33:53,480 Speaker 6: focus on shareholder value, maximizing shareholder value. And the fund 690 00:33:54,200 --> 00:33:58,640 Speaker 6: we basically try to avoid. We're a large cap exchange 691 00:33:58,640 --> 00:34:02,800 Speaker 6: traded funds, so a lot of people own you know, 692 00:34:02,880 --> 00:34:04,960 Speaker 6: four oh one k's and high raise in there. There's 693 00:34:05,000 --> 00:34:07,360 Speaker 6: a mutual fund, a large cat neutral fund owned some 694 00:34:07,400 --> 00:34:10,440 Speaker 6: of the biggest companies, and I don't think a lot 695 00:34:10,480 --> 00:34:13,279 Speaker 6: of people when they look at that, they realize, you know, 696 00:34:13,719 --> 00:34:17,440 Speaker 6: through that they're owning Disney, They're owning Nike, you know, 697 00:34:17,520 --> 00:34:23,480 Speaker 6: they're they own Meta, you know formally Facebook, you know, 698 00:34:23,600 --> 00:34:27,600 Speaker 6: companies that are really working against their their values. And 699 00:34:28,040 --> 00:34:31,759 Speaker 6: on what we offer as an alternative is, you know, 700 00:34:31,800 --> 00:34:35,040 Speaker 6: a fund that is trying to eliminate the companies that 701 00:34:35,080 --> 00:34:36,760 Speaker 6: are the most hospital conservative values. 702 00:34:37,120 --> 00:34:39,360 Speaker 1: Fantastic and I love that and I know our audiences 703 00:34:39,360 --> 00:34:43,000 Speaker 1: to William Flake, founder and CEO of the American Conservative 704 00:34:43,080 --> 00:34:45,240 Speaker 1: Values Fund, Thanks so much for being with us tonight. 705 00:34:45,080 --> 00:34:46,800 Speaker 2: William, thank you, Amanda. 706 00:34:47,000 --> 00:34:49,319 Speaker 1: Absolutely all right, everybody up next. Even though John is 707 00:34:49,320 --> 00:34:51,120 Speaker 1: out on assignments and I he's going to be back 708 00:34:51,160 --> 00:34:53,520 Speaker 1: for this one segment. Coming up are Weekly Just the 709 00:34:53,560 --> 00:34:55,040 Speaker 1: News Health Update that's going to. 710 00:34:55,000 --> 00:34:56,560 Speaker 2: Be here right after this break. 711 00:35:06,400 --> 00:35:08,920 Speaker 5: It's almost Independence Day and all of America will be 712 00:35:08,960 --> 00:35:12,000 Speaker 5: celebrating data a little bit here in Real America's voice. 713 00:35:12,080 --> 00:35:14,719 Speaker 5: We want to celebrate you every day from June thirty 714 00:35:14,800 --> 00:35:17,600 Speaker 5: through July fourth, We're giving away a handcrafted a hand 715 00:35:17,640 --> 00:35:18,880 Speaker 5: paint at Hardwood. 716 00:35:18,480 --> 00:35:20,360 Speaker 8: Flag to one lucky REV viewer. 717 00:35:20,440 --> 00:35:21,720 Speaker 4: Of these beautiful. 718 00:35:21,280 --> 00:35:23,880 Speaker 5: Flags come from your American Flagstore dot com, where ten 719 00:35:23,920 --> 00:35:26,600 Speaker 5: percent of every purchase goes to your American Flag Foundation. 720 00:35:26,920 --> 00:35:29,080 Speaker 5: Scan the QR code to opt in for your chance 721 00:35:29,120 --> 00:35:32,440 Speaker 5: to win and receive future RAV promotions from our hearts 722 00:35:32,480 --> 00:35:35,040 Speaker 5: for your home use code RAB for free shipping. 723 00:35:42,120 --> 00:35:42,960 Speaker 4: Welcome back, folks. 724 00:35:42,960 --> 00:35:44,960 Speaker 3: One of my favorite moments of the week are Just 725 00:35:45,040 --> 00:35:47,320 Speaker 3: the News Weekly Health Update, brought to you by our. 726 00:35:47,239 --> 00:35:48,440 Speaker 4: Friends at Natapath. 727 00:35:48,480 --> 00:35:51,120 Speaker 3: Joining us right now the co founder and chief culture 728 00:35:51,120 --> 00:35:53,960 Speaker 3: officer at Natapath. He's one of my biggest gurls. He's 729 00:35:54,000 --> 00:35:56,879 Speaker 3: really helped me get healthier, Doctor Chad Walding. Doctor, good 730 00:35:56,880 --> 00:35:57,920 Speaker 3: to have you back on the show. 731 00:36:00,640 --> 00:36:01,160 Speaker 9: A me. 732 00:36:01,800 --> 00:36:03,399 Speaker 4: We spent a lot of time the. 733 00:36:03,400 --> 00:36:06,480 Speaker 3: Last three weeks going through and understanding the dangers of 734 00:36:06,560 --> 00:36:07,399 Speaker 3: process food, and. 735 00:36:07,640 --> 00:36:08,960 Speaker 4: I want to pivot today too. A. 736 00:36:09,040 --> 00:36:11,719 Speaker 3: Right, we now know the dangers. We now know the sugars, 737 00:36:11,719 --> 00:36:15,600 Speaker 3: the pacify, the pesticides, the lack of protein. When you 738 00:36:15,680 --> 00:36:18,280 Speaker 3: start eating more healthy, when you start pushing the processed 739 00:36:18,280 --> 00:36:21,200 Speaker 3: food out, natural food back in, then you'd supplement it 740 00:36:21,239 --> 00:36:23,319 Speaker 3: with things like native path tell us some of the 741 00:36:23,320 --> 00:36:26,520 Speaker 3: things you're going to see in improvements and changes once 742 00:36:26,520 --> 00:36:27,239 Speaker 3: you start doing this. 743 00:36:28,640 --> 00:36:28,839 Speaker 4: Yeah. 744 00:36:28,880 --> 00:36:32,200 Speaker 12: Once, once we start moving away from the process from 745 00:36:32,400 --> 00:36:35,480 Speaker 12: food refined food, diet that we've all been fed right 746 00:36:35,520 --> 00:36:37,200 Speaker 12: that many of us have been eating for a long time, 747 00:36:37,320 --> 00:36:39,959 Speaker 12: and we start moving back on the path whole real food, 748 00:36:40,000 --> 00:36:43,080 Speaker 12: in other words, the way our great great grandparents would eat, 749 00:36:43,280 --> 00:36:45,640 Speaker 12: we're going to start to notice huge changes in our 750 00:36:45,680 --> 00:36:47,960 Speaker 12: overall health. There's really three key areas that I always 751 00:36:48,000 --> 00:36:50,759 Speaker 12: point to. Right, blood sugar regulation, this is one of 752 00:36:50,800 --> 00:36:53,160 Speaker 12: the biggest things. Like insulin resistance is one of the 753 00:36:53,239 --> 00:36:55,680 Speaker 12: key areas of what's making us so sick. Right, so 754 00:36:55,680 --> 00:36:58,000 Speaker 12: when you balance your blood sugar through whole real food 755 00:36:58,120 --> 00:36:59,880 Speaker 12: rather than food that's got a lot of sugar in it, 756 00:37:00,400 --> 00:37:03,239 Speaker 12: you are going to radically reduce a lot of the 757 00:37:03,280 --> 00:37:07,200 Speaker 12: metabolic issues that you feel. So weight loss, right, obesity, 758 00:37:07,360 --> 00:37:10,200 Speaker 12: things like that. Blood sugar issues tend to go away 759 00:37:10,239 --> 00:37:14,840 Speaker 12: a lot easier, blood pressure issues, high triglycerides, cholesterol issues, 760 00:37:14,960 --> 00:37:17,719 Speaker 12: all the things around the heart tend to get a 761 00:37:17,760 --> 00:37:20,560 Speaker 12: lot easier when you go to a whole real food diet. 762 00:37:20,760 --> 00:37:22,840 Speaker 12: And also another one that most people don't think about 763 00:37:23,200 --> 00:37:25,279 Speaker 12: is your gut. Right when we move to a whole 764 00:37:25,280 --> 00:37:27,480 Speaker 12: real food diet and move away from the process and 765 00:37:27,560 --> 00:37:30,600 Speaker 12: refined foods, our gut health starts to improve. You know, 766 00:37:30,640 --> 00:37:34,600 Speaker 12: Socrates said, our true health begins in the gut. This 767 00:37:34,640 --> 00:37:37,200 Speaker 12: is where we break down food. It's where we absorb 768 00:37:37,239 --> 00:37:40,040 Speaker 12: the vitamins and the minerals that we eat from the food. 769 00:37:40,200 --> 00:37:42,640 Speaker 12: It's also when we eliminate toxins. Right, So when we 770 00:37:42,719 --> 00:37:44,960 Speaker 12: have bad gut health, that's going to set us up 771 00:37:45,000 --> 00:37:47,520 Speaker 12: for a lot of the autoimmune issues that people might 772 00:37:47,560 --> 00:37:48,800 Speaker 12: have a lot of stuff. When people go to the 773 00:37:48,880 --> 00:37:51,239 Speaker 12: doctor and they're like, I feel bad, I don't know 774 00:37:51,239 --> 00:37:53,080 Speaker 12: what's going on. The doctor's like, I don't know what's 775 00:37:53,080 --> 00:37:55,239 Speaker 12: going on either, Let's just give you some pills. You know, 776 00:37:55,600 --> 00:37:58,240 Speaker 12: sometimes that can be helpful, but sometimes it's just poor 777 00:37:58,280 --> 00:38:00,840 Speaker 12: gut health. And we have good gut health health and 778 00:38:00,920 --> 00:38:03,680 Speaker 12: digestion gets better, your mood gets better. You know, a 779 00:38:03,680 --> 00:38:06,080 Speaker 12: lot of the inflammatory issues that a lot of people 780 00:38:06,120 --> 00:38:08,719 Speaker 12: have dealt with start to get better, so, you know, 781 00:38:08,840 --> 00:38:12,320 Speaker 12: improving the quality of your life, Extending the quality of 782 00:38:12,360 --> 00:38:15,960 Speaker 12: your life, having more energy, having more productivity, being happier, 783 00:38:16,040 --> 00:38:19,919 Speaker 12: being healthier, less dependency on pain meds. All of these 784 00:38:19,960 --> 00:38:23,640 Speaker 12: things are a byproduct of moving towards a more whole 785 00:38:23,680 --> 00:38:26,080 Speaker 12: real food diet, as we say, getting on the path. 786 00:38:26,800 --> 00:38:28,080 Speaker 3: One of the ones that I know is that I 787 00:38:28,120 --> 00:38:29,680 Speaker 3: have to tell you it was the one I least 788 00:38:29,680 --> 00:38:31,719 Speaker 3: expected when I started on this journey, and that is 789 00:38:32,120 --> 00:38:34,960 Speaker 3: I sleep better. I'm not agitated. I just I wake 790 00:38:35,000 --> 00:38:36,759 Speaker 3: up in the morning. I'm way more refreshed than I 791 00:38:36,840 --> 00:38:39,480 Speaker 3: used to be. Is that another part of the body 792 00:38:39,520 --> 00:38:42,360 Speaker 3: that just gets affected when you get on this path. 793 00:38:43,360 --> 00:38:45,760 Speaker 12: Absolutely, And a lot of that comes down to sugar. 794 00:38:45,800 --> 00:38:47,920 Speaker 12: And when people are dependent on sugar and they have 795 00:38:48,880 --> 00:38:51,400 Speaker 12: big ups and downs with their blood sugar, right, you 796 00:38:51,440 --> 00:38:53,280 Speaker 12: wake up in the morning. Let's say you have a cereal, 797 00:38:53,360 --> 00:38:55,239 Speaker 12: some orange juice and a toast and a pop tid 798 00:38:55,360 --> 00:38:57,920 Speaker 12: or something like that. That big up and down cycle 799 00:38:58,040 --> 00:39:00,279 Speaker 12: leads to big swings in your energy, right, and a 800 00:39:00,320 --> 00:39:02,680 Speaker 12: lot of times people will have that throughout the day. 801 00:39:02,800 --> 00:39:05,319 Speaker 12: And then you know, if they're eating carbs a lot 802 00:39:05,400 --> 00:39:08,360 Speaker 12: throughout the day, and I'm really referring to refined carbohydrates, 803 00:39:08,520 --> 00:39:10,239 Speaker 12: you go to bed, you're ready to sleep, but your 804 00:39:10,239 --> 00:39:13,160 Speaker 12: blood sugar just takes this big spike again, right, And 805 00:39:13,400 --> 00:39:15,840 Speaker 12: what that does is it gets your energy up and 806 00:39:15,880 --> 00:39:17,440 Speaker 12: you're wired and tired. 807 00:39:17,600 --> 00:39:17,799 Speaker 4: Right. 808 00:39:18,040 --> 00:39:20,440 Speaker 12: When you regulate your blood sugar a lot more with 809 00:39:20,640 --> 00:39:23,879 Speaker 12: specifically with good quality protein or surrounded by whole real 810 00:39:23,880 --> 00:39:26,280 Speaker 12: food and good fast you don't have those big highs 811 00:39:26,280 --> 00:39:29,440 Speaker 12: and big lows. It's more stable throughout the day. It's 812 00:39:29,560 --> 00:39:32,239 Speaker 12: less volatile, and that allows you when you go to bed, 813 00:39:32,560 --> 00:39:35,440 Speaker 12: to fall asleep easy, to fall asleep fast, and to 814 00:39:35,600 --> 00:39:38,040 Speaker 12: stay asleep through the rest of the night because your 815 00:39:38,040 --> 00:39:41,120 Speaker 12: blood sugar is more regulated, which comes from whole real 816 00:39:41,120 --> 00:39:42,840 Speaker 12: food and good quality of protein sources. 817 00:39:42,880 --> 00:39:45,040 Speaker 4: So we hear that a lot, and that's a big thing. 818 00:39:45,080 --> 00:39:48,239 Speaker 12: And when you sleep better, everything about your health gets better. 819 00:39:48,239 --> 00:39:51,360 Speaker 12: That's a whole other world that gets gets underlooked because 820 00:39:51,400 --> 00:39:54,200 Speaker 12: of the way we're kind of eating, but also our 821 00:39:54,280 --> 00:39:57,320 Speaker 12: relationship to light in the modern world. Right, So fixing 822 00:39:57,360 --> 00:39:58,720 Speaker 12: sleep fixes a whole lot of things. 823 00:39:59,080 --> 00:39:59,719 Speaker 4: That sure does. 824 00:40:00,160 --> 00:40:02,279 Speaker 3: I have been one of the many benefits, all right. 825 00:40:02,320 --> 00:40:04,719 Speaker 3: One of the things I love about native path is 826 00:40:04,880 --> 00:40:07,560 Speaker 3: it's so easy to do. I usually throw it in 827 00:40:07,560 --> 00:40:10,120 Speaker 3: my coffee or sometimes I'll have a strawberry smoothie in 828 00:40:10,160 --> 00:40:12,000 Speaker 3: the morning. I love that, and I just sew it 829 00:40:12,040 --> 00:40:16,000 Speaker 3: in no flavor, there's no additives. It's easiest thing in 830 00:40:16,000 --> 00:40:17,759 Speaker 3: the world to do to get, you know, a really 831 00:40:17,800 --> 00:40:18,920 Speaker 3: big boost in your. 832 00:40:20,440 --> 00:40:20,720 Speaker 4: Health. 833 00:40:20,760 --> 00:40:21,200 Speaker 8: Overall. 834 00:40:22,200 --> 00:40:24,920 Speaker 3: What goes on after that happens. I take it, I 835 00:40:25,000 --> 00:40:26,400 Speaker 3: drink it down, I go and I know I'm feeling 836 00:40:26,400 --> 00:40:29,000 Speaker 3: better in a couple of days. But under all of that, 837 00:40:29,040 --> 00:40:31,600 Speaker 3: there's some amazing things going on in your body when 838 00:40:31,640 --> 00:40:33,880 Speaker 3: that absorption of the peptide formula starts occurring. 839 00:40:33,960 --> 00:40:37,520 Speaker 12: Right, that's right, And we're referring to collagen here, right. 840 00:40:37,560 --> 00:40:39,919 Speaker 12: Collagen is the most abundant protein. 841 00:40:39,600 --> 00:40:40,080 Speaker 4: In the body. 842 00:40:40,120 --> 00:40:42,719 Speaker 12: And like you said, you know, this is a tasteless, 843 00:40:42,960 --> 00:40:46,360 Speaker 12: odorless powder that you can put in your coffee, you 844 00:40:46,440 --> 00:40:48,200 Speaker 12: can put it in your tea, you can just make 845 00:40:48,239 --> 00:40:51,000 Speaker 12: it a part of your morning routine. And what you're 846 00:40:51,040 --> 00:40:54,120 Speaker 12: going to be doing is restoring your collagen levels, which 847 00:40:54,160 --> 00:40:57,200 Speaker 12: have been depleted because of the way we've all been 848 00:40:57,239 --> 00:40:59,640 Speaker 12: eating and living in this modern world. We have to 849 00:40:59,719 --> 00:41:03,200 Speaker 12: keep it mind like what our biology actually wants in 850 00:41:03,280 --> 00:41:05,640 Speaker 12: terms of diet, and our ancestors would get plenty of 851 00:41:05,680 --> 00:41:08,200 Speaker 12: collagen because they would eat nose to tail, and it's 852 00:41:08,200 --> 00:41:10,520 Speaker 12: the most abundant protein in the body. It's what makes 853 00:41:10,560 --> 00:41:15,160 Speaker 12: up our hair, our skin, our ligaments, even underneath our tendons, 854 00:41:15,480 --> 00:41:18,560 Speaker 12: our gut lining, even our heart is dependent on collagen. 855 00:41:18,760 --> 00:41:21,200 Speaker 12: But we're not getting near enough, so many of us are. 856 00:41:21,040 --> 00:41:22,080 Speaker 8: Depleted in that. 857 00:41:22,280 --> 00:41:25,040 Speaker 12: So when you start consuming collagen on a consistent basis, 858 00:41:25,200 --> 00:41:27,600 Speaker 12: you know people will notice. They report to us changes, 859 00:41:27,640 --> 00:41:29,640 Speaker 12: and one of the first things they notice is what's 860 00:41:29,640 --> 00:41:32,560 Speaker 12: happened in the outside. But my nails are growing faster, 861 00:41:32,680 --> 00:41:35,520 Speaker 12: they're stronger, they're not as burtal, they're not breaking as much. 862 00:41:35,920 --> 00:41:39,160 Speaker 12: When that change happens, you're also people notice less wrinkles, 863 00:41:39,400 --> 00:41:42,520 Speaker 12: the hair starts to grow back, and then the bigger stuff, 864 00:41:42,719 --> 00:41:46,360 Speaker 12: the joints, like how well we moved you mentioned earlier 865 00:41:46,560 --> 00:41:48,600 Speaker 12: and in a former talk we had about your elbow 866 00:41:48,600 --> 00:41:52,640 Speaker 12: getting better, the paying getting better, back pay, and getting better. Yeah, 867 00:41:52,680 --> 00:41:55,120 Speaker 12: so all of that changes because collagen, when we consume 868 00:41:55,160 --> 00:41:58,200 Speaker 12: it on a consistent basis and we break it down, 869 00:41:58,239 --> 00:42:01,600 Speaker 12: it goes into into our body. The collagen doesn't just 870 00:42:01,640 --> 00:42:04,800 Speaker 12: go to random areas of the body. It specifically goes 871 00:42:04,840 --> 00:42:08,600 Speaker 12: to areas that are damaged and helps rebuild them. It's 872 00:42:08,600 --> 00:42:11,719 Speaker 12: an amazing little molecule that has this intelligence on its own. 873 00:42:12,120 --> 00:42:14,600 Speaker 12: So taking it consistently making a part of your morning 874 00:42:14,640 --> 00:42:16,360 Speaker 12: routine is one of the easiest things you can do 875 00:42:16,400 --> 00:42:16,920 Speaker 12: for your health. 876 00:42:17,440 --> 00:42:20,680 Speaker 3: That's amazing. You mentioned before in some of the resistance, 877 00:42:20,719 --> 00:42:23,320 Speaker 3: and there's the new fath of GLP one injections. Everyone's 878 00:42:23,360 --> 00:42:25,960 Speaker 3: getting under the magic weight loss, but a lot of 879 00:42:25,960 --> 00:42:28,759 Speaker 3: people can avoid that injection routine and the expense of it. 880 00:42:29,160 --> 00:42:31,560 Speaker 3: If you just get on a healthier path and you 881 00:42:31,680 --> 00:42:34,319 Speaker 3: start getting calligen, you really won't need those injections, right, 882 00:42:34,320 --> 00:42:37,160 Speaker 3: because your body's going to heal itself from the inside. 883 00:42:37,680 --> 00:42:39,640 Speaker 4: That's right. Yeah, And it's a good thing to bring up. 884 00:42:39,760 --> 00:42:42,360 Speaker 12: Is like, why were we having obesity weight issues in 885 00:42:42,360 --> 00:42:45,680 Speaker 12: the first place because of refined, processed foods and sugar. Right, 886 00:42:46,000 --> 00:42:49,560 Speaker 12: So moving back to the basics, and I mentioned earlier, 887 00:42:49,640 --> 00:42:51,960 Speaker 12: protein is one of the best things we can do. 888 00:42:52,040 --> 00:42:55,279 Speaker 12: All the benefits that people are hoping to get from 889 00:42:55,280 --> 00:42:58,880 Speaker 12: the GOLP products, they can also get that with a chicken. 890 00:42:59,440 --> 00:43:01,480 Speaker 12: They could also get that with a steak and some 891 00:43:01,560 --> 00:43:04,759 Speaker 12: ground meeting some eggs without the side effects. And I'm 892 00:43:04,760 --> 00:43:08,279 Speaker 12: not saying don't take the medication, but support it with this. 893 00:43:08,480 --> 00:43:11,400 Speaker 12: Right you use whole real food, good quality protein, and 894 00:43:11,480 --> 00:43:14,560 Speaker 12: things like college and to support you on your health journey. 895 00:43:14,560 --> 00:43:17,200 Speaker 12: In some cases the medications can be helpful given the 896 00:43:17,239 --> 00:43:21,120 Speaker 12: context of where people at, but really support that with good, 897 00:43:21,200 --> 00:43:23,520 Speaker 12: healthy things that you put into your body, and you'll 898 00:43:23,560 --> 00:43:24,720 Speaker 12: see even better results. 899 00:43:25,239 --> 00:43:25,880 Speaker 4: That's amazing. 900 00:43:26,080 --> 00:43:28,719 Speaker 3: It's really I'm a first hand witness to this, and 901 00:43:28,760 --> 00:43:30,160 Speaker 3: you know, I'm pretty suspicious. 902 00:43:30,200 --> 00:43:31,080 Speaker 4: I'm an investigative and. 903 00:43:31,080 --> 00:43:33,160 Speaker 3: Partly I don't think it's going It really works, and 904 00:43:33,200 --> 00:43:36,720 Speaker 3: it's made a huge difference. I'm happier and healthier because 905 00:43:36,760 --> 00:43:38,160 Speaker 3: of the path I've been on, and I want to 906 00:43:38,200 --> 00:43:40,799 Speaker 3: thank you for helping me get there, Doctor Chad, You're 907 00:43:40,840 --> 00:43:43,120 Speaker 3: and your education, the great products you have it Ata 908 00:43:43,160 --> 00:43:45,200 Speaker 3: path are just amazing. 909 00:43:45,280 --> 00:43:45,680 Speaker 8: Folks. 910 00:43:46,160 --> 00:43:48,480 Speaker 3: I want you to join me if you're moved by 911 00:43:48,520 --> 00:43:50,440 Speaker 3: what we talked about tay, because would you go to 912 00:43:50,840 --> 00:43:53,520 Speaker 3: get natapath dot com slash just news right now. There's 913 00:43:53,520 --> 00:43:56,560 Speaker 3: a special bundle deal only available because you love rap 914 00:43:56,560 --> 00:43:58,480 Speaker 3: and you love just the news. It's a fraction of 915 00:43:58,480 --> 00:44:00,040 Speaker 3: the retail price. All you got to do is go 916 00:44:00,080 --> 00:44:02,720 Speaker 3: to that website. Get natapath dot com slash just News 917 00:44:03,160 --> 00:44:05,280 Speaker 3: over four million jars if this has been sold thousands 918 00:44:05,280 --> 00:44:07,279 Speaker 3: of five star reviews on one of them, three hundred 919 00:44:07,280 --> 00:44:08,160 Speaker 3: and sixty five money. 920 00:44:08,000 --> 00:44:08,880 Speaker 4: Day back guaranteed. 921 00:44:09,080 --> 00:44:11,800 Speaker 3: This is your moment to take control of aging before 922 00:44:12,080 --> 00:44:14,960 Speaker 3: the symptoms get out of control. Go to get natapath 923 00:44:15,000 --> 00:44:16,640 Speaker 3: dot com slash just news right now. 924 00:44:16,640 --> 00:44:19,160 Speaker 4: Join me, check it out. You won't be disappointed. 925 00:44:19,239 --> 00:44:20,759 Speaker 3: All right, We're gonna take a quicker vers for making 926 00:44:20,800 --> 00:44:23,280 Speaker 3: Man'll be back in a second, but first a few messages. 927 00:44:31,400 --> 00:44:32,360 Speaker 2: Welcome back, everybody. 928 00:44:32,480 --> 00:44:35,120 Speaker 1: Highlighted a story about a month ago about Emmy Award 929 00:44:35,120 --> 00:44:40,320 Speaker 1: winning actress Martha Byrne her husband NYPD Sergeant Michael McMahon. 930 00:44:40,640 --> 00:44:43,040 Speaker 1: Martha tells us that her husband is a victim of 931 00:44:43,080 --> 00:44:46,680 Speaker 1: weaponized justice perpetrated under the Biden administration. She's written a 932 00:44:46,680 --> 00:44:48,759 Speaker 1: book all about it too, so everybody go check it out. 933 00:44:48,800 --> 00:44:51,560 Speaker 1: It's called in the Interest of Justice. Well, her husband 934 00:44:51,560 --> 00:44:54,080 Speaker 1: has now booken his prison sentence. Joining us now to 935 00:44:54,120 --> 00:44:55,840 Speaker 1: talk about all this and to get an update is 936 00:44:56,120 --> 00:44:57,120 Speaker 1: the wife Martha Burn. 937 00:44:57,160 --> 00:44:58,600 Speaker 2: Martha, thanks so much for being here. 938 00:44:59,280 --> 00:45:01,560 Speaker 9: Thank you so much for having me. I really appreciate 939 00:45:01,600 --> 00:45:02,279 Speaker 9: you having back on. 940 00:45:02,480 --> 00:45:05,600 Speaker 1: Of course, and you're such a wonderful, wonderful aggressive advocate 941 00:45:05,640 --> 00:45:07,440 Speaker 1: for your husband, which I would want my spouse to 942 00:45:07,440 --> 00:45:08,880 Speaker 1: be if I was in the same situation. 943 00:45:09,600 --> 00:45:10,920 Speaker 2: We've only got a few minutes left in. 944 00:45:10,920 --> 00:45:13,359 Speaker 1: The show, but this is important, so take a few 945 00:45:13,400 --> 00:45:14,520 Speaker 1: minutes and tell our audience. 946 00:45:14,560 --> 00:45:15,640 Speaker 2: For those who didn't. 947 00:45:15,400 --> 00:45:18,040 Speaker 1: See you on this show a month ago, just give 948 00:45:18,040 --> 00:45:20,480 Speaker 1: everybody kind of a quick briefer on what has happened 949 00:45:20,480 --> 00:45:21,080 Speaker 1: to your husband. 950 00:45:21,920 --> 00:45:24,680 Speaker 13: Oh, he's a retired NYPD sergeant and he retired and 951 00:45:24,719 --> 00:45:26,040 Speaker 13: became a private investigator. 952 00:45:27,160 --> 00:45:29,799 Speaker 9: In twenty sixteen, he did a routine case, you. 953 00:45:29,760 --> 00:45:33,399 Speaker 13: Know, some background checks, asset churches, some surveillance, and never 954 00:45:33,440 --> 00:45:36,319 Speaker 13: thought about it again. Totally routine case. And then four 955 00:45:36,400 --> 00:45:39,400 Speaker 13: years later they arrested him. The FBI came to my 956 00:45:39,480 --> 00:45:43,319 Speaker 13: house for failure to register as a foreign agent, and 957 00:45:43,560 --> 00:45:46,920 Speaker 13: interstate stalking, and it was outrageous because there was no 958 00:45:47,480 --> 00:45:51,080 Speaker 13: evidence of any wrongdoing, no crime, So of course we felt, 959 00:45:51,160 --> 00:45:54,200 Speaker 13: let's go to trial and he'll win. But what we 960 00:45:54,280 --> 00:45:58,080 Speaker 13: saw happened was insane, and he was found guilty of 961 00:45:58,200 --> 00:46:02,440 Speaker 13: interstate stalking and fail to register for FARA and given 962 00:46:02,520 --> 00:46:05,840 Speaker 13: eighteen months in federal prison. And the judge said she 963 00:46:05,920 --> 00:46:08,680 Speaker 13: wasn't giving him that time because of the crime, because 964 00:46:08,680 --> 00:46:11,160 Speaker 13: he kind of said he didn't do a crime, but 965 00:46:11,200 --> 00:46:12,799 Speaker 13: that he had no remorse for. 966 00:46:12,920 --> 00:46:15,719 Speaker 9: The victims, which the victims couldn't even identify. 967 00:46:15,480 --> 00:46:17,279 Speaker 13: Him in courts and had no idea who he was, 968 00:46:17,320 --> 00:46:20,000 Speaker 13: so I'm not sure how that worked, but he had 969 00:46:20,040 --> 00:46:22,000 Speaker 13: to report yesterday. 970 00:46:22,040 --> 00:46:24,479 Speaker 9: I just got back from Michigan. They sent him six. 971 00:46:24,480 --> 00:46:28,480 Speaker 13: Hundred miles away from my family and Amanda. I can't 972 00:46:28,520 --> 00:46:33,239 Speaker 13: even grab my brain around it. It's so outrageous that 973 00:46:33,320 --> 00:46:36,720 Speaker 13: they're putting a man who committed no crime and had evidence, 974 00:46:36,800 --> 00:46:39,800 Speaker 13: overwhelming evidence of his innocence that we couldn't present a trial. 975 00:46:40,160 --> 00:46:43,080 Speaker 13: They suppressed evidence, they lied at the jury, FBI agent's 976 00:46:43,080 --> 00:46:48,239 Speaker 13: flight on search warrants, on criminal complaints, and I'm speechless. 977 00:46:48,360 --> 00:46:49,400 Speaker 9: As to that. 978 00:46:49,480 --> 00:46:51,760 Speaker 13: My husband is six hundred miles away in a federal 979 00:46:51,800 --> 00:46:52,960 Speaker 13: prison now, and. 980 00:46:53,000 --> 00:46:56,200 Speaker 1: Remind me again the CCP connection, how does that tie 981 00:46:56,200 --> 00:46:56,680 Speaker 1: into all this? 982 00:46:57,520 --> 00:47:01,040 Speaker 13: So the alleged victims, he was actually a former Wuhan 983 00:47:01,120 --> 00:47:05,520 Speaker 13: official who was here in this country. It's illegally. My 984 00:47:05,600 --> 00:47:07,600 Speaker 13: husband was hired. He was hired just to find assets 985 00:47:07,640 --> 00:47:09,800 Speaker 13: of a man that had apparently stolen money from China. 986 00:47:09,920 --> 00:47:13,120 Speaker 13: That's all he knew. His client had millions of dollars 987 00:47:13,120 --> 00:47:15,839 Speaker 13: stolen from his family business, and my husband was hired 988 00:47:15,840 --> 00:47:17,680 Speaker 13: by a New York company to find his houses. 989 00:47:17,960 --> 00:47:18,120 Speaker 2: You know. 990 00:47:18,160 --> 00:47:19,759 Speaker 13: It was like a day in the life kind of thing, 991 00:47:20,120 --> 00:47:23,560 Speaker 13: and sure enough, he found millions of dollars of real 992 00:47:23,640 --> 00:47:25,600 Speaker 13: estate transactions and then he just kind of moved on 993 00:47:25,640 --> 00:47:29,959 Speaker 13: with his life. Typical case. But apparently there was another 994 00:47:30,040 --> 00:47:31,920 Speaker 13: lane going on that Mike had nothing to do with. 995 00:47:32,560 --> 00:47:37,759 Speaker 13: That was about repatriating this fellow back to China. But 996 00:47:38,520 --> 00:47:40,640 Speaker 13: the crimes that he had committed in the United States, 997 00:47:40,719 --> 00:47:42,360 Speaker 13: this man, we were not allowed to even bring up 998 00:47:42,400 --> 00:47:43,000 Speaker 13: that at trial. 999 00:47:43,080 --> 00:47:44,960 Speaker 9: So there's a big CCP connection. 1000 00:47:45,120 --> 00:47:48,200 Speaker 13: One of the agents, Robert Riley, a FBI agents in 1001 00:47:48,200 --> 00:47:51,720 Speaker 13: New Jersey, was actually communicating with the alleged victim, helping 1002 00:47:51,719 --> 00:47:53,359 Speaker 13: them with their immigration, helping them with. 1003 00:47:53,320 --> 00:47:54,120 Speaker 9: The civil lawsuits. 1004 00:47:54,160 --> 00:47:57,080 Speaker 13: So there's a lot of complicated stuff that has nothing 1005 00:47:57,120 --> 00:47:57,759 Speaker 13: to do with Mike. 1006 00:47:58,520 --> 00:47:59,879 Speaker 9: He was just suing a routine job. 1007 00:48:00,040 --> 00:48:02,959 Speaker 1: And I know that this started under President Trump's first term, 1008 00:48:03,000 --> 00:48:06,200 Speaker 1: but it was the Biden DOJ who was really weaponized 1009 00:48:06,200 --> 00:48:06,960 Speaker 1: against Mike. 1010 00:48:06,880 --> 00:48:10,880 Speaker 13: Right, correct, Because under Trump's first term, as we know, 1011 00:48:11,560 --> 00:48:14,360 Speaker 13: Christopher Ray and call me, I mean, they were spying 1012 00:48:14,360 --> 00:48:17,200 Speaker 13: on cash Ftel Carter Page, I mean, Donald, they were 1013 00:48:17,520 --> 00:48:18,120 Speaker 13: off the rail. 1014 00:48:18,320 --> 00:48:20,879 Speaker 9: So the fact that my husband was victim. 1015 00:48:20,600 --> 00:48:23,040 Speaker 13: Of that is not no surprise, right, But the fact 1016 00:48:23,160 --> 00:48:25,080 Speaker 13: is it's all coming out now of what was really 1017 00:48:25,080 --> 00:48:27,400 Speaker 13: going on in the spying, and we're a victim of 1018 00:48:27,400 --> 00:48:29,160 Speaker 13: that as well. I Mean, it's so similar to Trump 1019 00:48:29,160 --> 00:48:32,200 Speaker 13: Donald Trump's case of just making things up to make 1020 00:48:32,200 --> 00:48:33,520 Speaker 13: it a case out of nothing. 1021 00:48:33,760 --> 00:48:36,200 Speaker 1: Well, and one of the biggest successes of President Trump's 1022 00:48:36,200 --> 00:48:40,200 Speaker 1: first term was the First Step Act, and under that provision, 1023 00:48:40,200 --> 00:48:41,920 Speaker 1: I mean, there was a great amount of sympathy that 1024 00:48:41,960 --> 00:48:43,920 Speaker 1: was shown by President Trump and the people who were 1025 00:48:43,960 --> 00:48:47,200 Speaker 1: supporting this reform because they laid out a limit of 1026 00:48:47,239 --> 00:48:50,040 Speaker 1: how far someone can be imprisoned away from their family, 1027 00:48:50,080 --> 00:48:51,560 Speaker 1: and this violates that, doesn't. 1028 00:48:51,320 --> 00:48:52,439 Speaker 9: It It does. 1029 00:48:52,480 --> 00:48:56,239 Speaker 13: It's six hundred miles away, I mean, and again, what 1030 00:48:56,280 --> 00:48:57,680 Speaker 13: I have to tell you this is that based on 1031 00:48:57,800 --> 00:49:01,880 Speaker 13: the sentencing report, which was filled with lies about my husband, 1032 00:49:01,920 --> 00:49:04,560 Speaker 13: that he's this horrible person, he's the stock. Of course, 1033 00:49:04,600 --> 00:49:06,680 Speaker 13: they're going to send him far away and far away 1034 00:49:06,680 --> 00:49:09,600 Speaker 13: from as a police officer former, away from this area. 1035 00:49:10,239 --> 00:49:14,160 Speaker 13: But you're basing it on bad information. So and listen, 1036 00:49:14,160 --> 00:49:18,440 Speaker 13: everybody was very kind there yesterday. Was leaving him there 1037 00:49:18,520 --> 00:49:22,960 Speaker 13: was extremely painful, but everyone was nice to him. But yes, 1038 00:49:23,000 --> 00:49:25,120 Speaker 13: I think Donald Trump is going to be horrified because 1039 00:49:25,200 --> 00:49:28,120 Speaker 13: I can't visit him every day, or my children or 1040 00:49:28,520 --> 00:49:30,440 Speaker 13: you know, to fly six hundred miles away just. 1041 00:49:30,360 --> 00:49:31,560 Speaker 9: So we can see him for an hour. 1042 00:49:31,600 --> 00:49:33,759 Speaker 13: I mean, I'm getting it's making me sick as even 1043 00:49:33,800 --> 00:49:36,000 Speaker 13: saying that, you know, because he's done nothing wrong. 1044 00:49:36,120 --> 00:49:40,360 Speaker 9: So again he's over punished, overcharged. 1045 00:49:41,200 --> 00:49:43,920 Speaker 13: It is the classic case of abuse and weaponization of 1046 00:49:44,000 --> 00:49:46,240 Speaker 13: the FBI, which is out of control and the DJ 1047 00:49:46,400 --> 00:49:47,200 Speaker 13: and the Eastern set. 1048 00:49:48,000 --> 00:49:49,319 Speaker 1: Martha, I don't want to cut you off, but I 1049 00:49:49,360 --> 00:49:52,120 Speaker 1: spent about thirty minutes everybody with Martha on my podcast. 1050 00:49:52,200 --> 00:49:54,080 Speaker 2: Furthermore with Amanda head so if you want to hear 1051 00:49:54,320 --> 00:49:56,319 Speaker 2: more details about it, go check that out. But that's 1052 00:49:56,360 --> 00:49:58,040 Speaker 2: all we have time for tonight. Have a great night. 1053 00:49:58,040 --> 00:49:58,719 Speaker 2: We'll see them Mark