1 00:00:04,800 --> 00:00:11,520 Speaker 1: It's that time, time, time, time, luck and load. The 2 00:00:11,640 --> 00:00:13,840 Speaker 1: Michael Verie Show is on the air. 3 00:00:34,600 --> 00:00:37,680 Speaker 2: Let's talk about health from moment showing welcome back to 4 00:00:37,680 --> 00:00:42,720 Speaker 2: crazy democrats. I don't want to be preachy. I don't 5 00:00:42,720 --> 00:00:48,800 Speaker 2: want to be the voice of the zealot. But I 6 00:00:48,800 --> 00:00:52,400 Speaker 2: am a believer in health and wellness. Hey, aren't you 7 00:00:52,440 --> 00:00:54,480 Speaker 2: the guy who spokes to gars and drinks bourbon? 8 00:00:54,560 --> 00:00:56,560 Speaker 1: I am? I am. 9 00:00:56,920 --> 00:00:58,480 Speaker 2: And there are a lot of things that are not 10 00:00:58,560 --> 00:01:03,400 Speaker 2: understood by people. I have people who weigh three hundred 11 00:01:03,440 --> 00:01:09,040 Speaker 2: pounds who will say to me, if I post that 12 00:01:09,080 --> 00:01:10,039 Speaker 2: I'm eating a bowl of ice. 13 00:01:10,000 --> 00:01:12,360 Speaker 1: Cream, you say, you eat that ice cream, you get fat. 14 00:01:13,160 --> 00:01:16,679 Speaker 2: No, I'm not, because I understand how food works. I 15 00:01:16,800 --> 00:01:18,800 Speaker 2: understand the house and whys of when to eat and 16 00:01:18,840 --> 00:01:21,720 Speaker 2: how much to eat, and what foods to eat, and 17 00:01:22,240 --> 00:01:28,280 Speaker 2: how to balance those things. And it bothers me that 18 00:01:28,480 --> 00:01:35,800 Speaker 2: in this country, the richest nation in history, we have 19 00:01:36,000 --> 00:01:40,679 Speaker 2: replaced what is good and natural in the world, what 20 00:01:40,840 --> 00:01:45,119 Speaker 2: God gave us. We have replaced with things that are 21 00:01:45,160 --> 00:01:50,440 Speaker 2: not only not good, they're actively bad for us. This 22 00:01:50,640 --> 00:01:56,680 Speaker 2: damn red dye. I learned about red dye several years ago. 23 00:01:57,600 --> 00:01:58,160 Speaker 3: And. 24 00:01:59,480 --> 00:02:03,000 Speaker 2: It is it is it is awful, but it's only 25 00:02:03,040 --> 00:02:05,840 Speaker 2: one of many things that are absolutely awful. My wife 26 00:02:05,880 --> 00:02:08,480 Speaker 2: has a rule of thumb, and that rule of thumb is, 27 00:02:09,560 --> 00:02:12,040 Speaker 2: if it's not provided by God, if it's not even 28 00:02:12,120 --> 00:02:15,000 Speaker 2: natural food, it's not good for you. Now does that 29 00:02:15,040 --> 00:02:20,120 Speaker 2: mean I don't drink it Old Mexican coke or doctor Pepper? 30 00:02:20,560 --> 00:02:23,840 Speaker 1: I absolutely do. Those tobacco leaves that they dry and 31 00:02:23,880 --> 00:02:25,960 Speaker 1: wrap I burn. Are they great for you? 32 00:02:26,000 --> 00:02:26,080 Speaker 3: Know? 33 00:02:26,360 --> 00:02:27,160 Speaker 4: I don't. 34 00:02:27,320 --> 00:02:29,640 Speaker 2: Everything I eat is not great for me, but I 35 00:02:29,720 --> 00:02:31,919 Speaker 2: know when I'm doing it that it's an indulgence. Do 36 00:02:31,960 --> 00:02:34,960 Speaker 2: you understand the difference? You understand the difference, because it's 37 00:02:34,960 --> 00:02:40,720 Speaker 2: important that you do. Kelly Means was on Doctor Phil 38 00:02:40,760 --> 00:02:43,560 Speaker 2: where he said the food industry spends millions of dollars 39 00:02:43,600 --> 00:02:48,000 Speaker 2: on nutrition research to normalize addictive foods. 40 00:02:48,400 --> 00:02:49,280 Speaker 1: Let me get this straight. 41 00:02:49,680 --> 00:02:53,560 Speaker 5: You're saying that the major beverage companies, food companies, all 42 00:02:53,600 --> 00:02:59,760 Speaker 5: of them are bribing the scientists, bribing the regulatory agencies too, 43 00:02:59,840 --> 00:03:04,880 Speaker 5: in endorse their formulas, their ingredients for food to say 44 00:03:04,919 --> 00:03:07,600 Speaker 5: that they're good, say that they're okay, And in fact, 45 00:03:07,680 --> 00:03:12,280 Speaker 5: those ingredients are meant to addict people to the foods 46 00:03:12,320 --> 00:03:12,919 Speaker 5: that they're selling. 47 00:03:12,960 --> 00:03:14,120 Speaker 1: It's the express purpose. 48 00:03:14,200 --> 00:03:16,720 Speaker 4: I was shocked as a junior employee to see a 49 00:03:16,760 --> 00:03:19,239 Speaker 4: list of names of professors from Harvard and tough Nutrition 50 00:03:19,320 --> 00:03:21,880 Speaker 4: School from Stanford, and as a junior employee working for 51 00:03:21,919 --> 00:03:23,120 Speaker 4: the food companies is concilling. 52 00:03:23,120 --> 00:03:24,720 Speaker 1: I steered money to those schools. 53 00:03:24,919 --> 00:03:27,920 Speaker 4: The food industry funds nutrition researcher in this country eleven 54 00:03:27,960 --> 00:03:31,000 Speaker 4: times more than the NIH. We are allowed to find 55 00:03:31,240 --> 00:03:33,720 Speaker 4: a nutrition research who's not directly paid with the direct 56 00:03:33,720 --> 00:03:37,160 Speaker 4: consulting agreements bribes, and their research is predominantly funded by 57 00:03:37,160 --> 00:03:37,920 Speaker 4: the food industry. 58 00:03:38,320 --> 00:03:39,240 Speaker 1: I can tell you from. 59 00:03:39,120 --> 00:03:41,160 Speaker 4: Working for this industry that that's not out of a 60 00:03:41,160 --> 00:03:41,800 Speaker 4: phone drop at. 61 00:03:41,760 --> 00:03:43,480 Speaker 1: Goodwill for unbiased research. 62 00:03:43,760 --> 00:03:45,760 Speaker 4: The food industry is spending one hundreds of millions of 63 00:03:45,800 --> 00:03:49,080 Speaker 4: dollars on nutrition research to enhance their bottom line. It's 64 00:03:49,120 --> 00:03:51,160 Speaker 4: to normalize these addictive foods. 65 00:03:51,520 --> 00:03:54,200 Speaker 1: And that's my setup for this make America healthy again. 66 00:03:54,320 --> 00:03:57,920 Speaker 2: FDA Commissioner Marty McCrary has announced that the Trump administration 67 00:03:58,040 --> 00:04:01,440 Speaker 2: is moving to ban essentially all all artificial food dyes 68 00:04:01,480 --> 00:04:04,960 Speaker 2: of the US food supply at the direction of RFK Junior. 69 00:04:05,120 --> 00:04:07,960 Speaker 2: If you don't know already, this stuff is horrible for 70 00:04:08,000 --> 00:04:09,280 Speaker 2: you and doesn't need to be there a. 71 00:04:09,440 --> 00:04:12,960 Speaker 6: The FDA is taking action to remove petroleum based food 72 00:04:13,040 --> 00:04:16,880 Speaker 6: dyes from the US food supply and from medications. For 73 00:04:16,920 --> 00:04:20,240 Speaker 6: the last fifty years, American children have increasingly been living 74 00:04:20,279 --> 00:04:25,240 Speaker 6: in a toxic soup of synthetic chemicals. The scientific community 75 00:04:25,240 --> 00:04:28,560 Speaker 6: has conducted a number of studies raising concerns about the 76 00:04:28,560 --> 00:04:33,839 Speaker 6: correlation between petroleum based synthetic dyes and several health conditions 77 00:04:33,880 --> 00:04:40,560 Speaker 6: such as attention deficit, hyperactivity disorder, obesity, diabetes, insulin resistance, cancer, 78 00:04:40,880 --> 00:04:44,480 Speaker 6: genomic disruption, GI issues as I've seen in the hospital, 79 00:04:44,839 --> 00:04:46,200 Speaker 6: and allergic reactions. 80 00:04:47,760 --> 00:04:49,680 Speaker 1: For example, this Lances. 81 00:04:49,279 --> 00:04:56,960 Speaker 6: Study conducted a randomized, double blinded, placebo controlled study on 82 00:04:57,120 --> 00:04:59,920 Speaker 6: food dies and concluded that artificial colors in the d 83 00:05:00,080 --> 00:05:04,040 Speaker 6: I quote result in increased hyperactivity. 84 00:05:04,400 --> 00:05:05,799 Speaker 1: So why are we taking a gamble? 85 00:05:08,640 --> 00:05:11,640 Speaker 6: Parents, moms and dads have also tried to raise attention 86 00:05:11,680 --> 00:05:15,400 Speaker 6: to the issue. Some parents have observed that these chemicals 87 00:05:15,400 --> 00:05:19,360 Speaker 6: cause hyperactivity and even aggressive behavior, and that it subsides 88 00:05:19,360 --> 00:05:22,400 Speaker 6: when the chemicals are removed from the diet of the child, 89 00:05:22,520 --> 00:05:26,719 Speaker 6: and sometimes even reoccurs when those petroleum based chemical dyes 90 00:05:26,760 --> 00:05:31,840 Speaker 6: are reintroduced. As I know from my experience taking care 91 00:05:31,920 --> 00:05:35,800 Speaker 6: of children. As a doctor, you have to always listen 92 00:05:36,000 --> 00:05:41,280 Speaker 6: to the mom. Other studies have found that artificial colors 93 00:05:41,400 --> 00:05:44,839 Speaker 6: that create vibrant colors mess with the child's developing brain 94 00:05:45,480 --> 00:05:48,440 Speaker 6: to make ultra processed foods more attractive. 95 00:05:49,440 --> 00:05:51,839 Speaker 1: Even when the child already feels full. 96 00:05:53,360 --> 00:05:58,080 Speaker 6: These studies have associated food colors directly with obesity and diabetes. 97 00:05:58,880 --> 00:06:03,200 Speaker 6: While America's children are sick and suffering, forty one percent 98 00:06:03,240 --> 00:06:05,919 Speaker 6: of children at least have at least one health condition 99 00:06:06,279 --> 00:06:09,840 Speaker 6: and one in five are on medication. The answer is 100 00:06:09,880 --> 00:06:15,920 Speaker 6: not more ozepic, more ADHD medication, and more antidepressants. There's 101 00:06:15,920 --> 00:06:18,680 Speaker 6: a role for those medications, but we have to look 102 00:06:18,720 --> 00:06:24,159 Speaker 6: at underlying root causes. The fn FDA stands for food. 103 00:06:25,279 --> 00:06:28,200 Speaker 6: Now there's no one ingredient that accounts for the child 104 00:06:28,240 --> 00:06:29,440 Speaker 6: chronic disease epidemic. 105 00:06:29,960 --> 00:06:32,600 Speaker 1: And let's be honest, taking petroleum. 106 00:06:32,040 --> 00:06:33,960 Speaker 6: Based food dies out of the food supply is not 107 00:06:34,000 --> 00:06:37,359 Speaker 6: a silver bullet that will instantly make America's children healthy, 108 00:06:37,880 --> 00:06:41,560 Speaker 6: but it is one important step. This administration is not 109 00:06:41,680 --> 00:06:45,280 Speaker 6: interested in continuing down the path of doing the same 110 00:06:45,279 --> 00:06:48,640 Speaker 6: old things. As we watch our nation's children get sicker, 111 00:06:49,760 --> 00:06:54,960 Speaker 6: we need fresh new approaches cancer and diabetes. And young 112 00:06:55,000 --> 00:06:57,680 Speaker 6: people is going up at an alarming rate, and nobody 113 00:06:57,720 --> 00:07:01,640 Speaker 6: seems to know why. We have to turn our attention 114 00:07:02,720 --> 00:07:07,040 Speaker 6: to underlying causes such as chemicals and toxins that children 115 00:07:07,080 --> 00:07:13,040 Speaker 6: are exposed to, not just more insulin and chemotherapy. And 116 00:07:13,120 --> 00:07:15,360 Speaker 6: let's not forget that the best way to lower drug 117 00:07:15,440 --> 00:07:22,280 Speaker 6: prices is to stop taking drugs we don't need. Thirty 118 00:07:22,320 --> 00:07:27,200 Speaker 6: states concerned about this very issue have introduced bills or 119 00:07:27,280 --> 00:07:32,280 Speaker 6: laws with a patchwork of standards for food companies. So 120 00:07:32,320 --> 00:07:35,720 Speaker 6: the food industry, which has many good people, has asked 121 00:07:35,720 --> 00:07:40,320 Speaker 6: for clarity. So today the FDA is taking the following steps. 122 00:07:40,400 --> 00:07:44,160 Speaker 6: Number One, establishing a national standard and timeline for the 123 00:07:44,160 --> 00:07:47,760 Speaker 6: food industry to transition from petroleum based food dyes to 124 00:07:48,040 --> 00:07:49,600 Speaker 6: natural alternative. 125 00:07:50,160 --> 00:07:54,480 Speaker 1: The King of ding It and this other guy, Michael Barry, 126 00:07:54,640 --> 00:07:56,840 Speaker 1: these are the kind of gosh, you're like a smacking ass. 127 00:07:59,240 --> 00:08:04,280 Speaker 2: J Bochar went from being called a kook for pointing 128 00:08:04,320 --> 00:08:09,320 Speaker 2: out the problems with the MR in a quote unquote vaccine. 129 00:08:09,360 --> 00:08:10,560 Speaker 1: It's not a vaccine. 130 00:08:11,720 --> 00:08:14,520 Speaker 2: The vaccine that was approved for use in the United 131 00:08:14,600 --> 00:08:18,880 Speaker 2: States was not the product that was shot into your 132 00:08:19,040 --> 00:08:21,760 Speaker 2: arms that caused so many people to die. 133 00:08:22,040 --> 00:08:23,520 Speaker 1: It's important to understand that. 134 00:08:24,240 --> 00:08:26,160 Speaker 2: I know it's hard for people to believe that, and 135 00:08:26,200 --> 00:08:28,720 Speaker 2: it's kind of like the deep state spying on your 136 00:08:28,720 --> 00:08:32,480 Speaker 2: phone calls and internet usage. You just prefer not to 137 00:08:32,480 --> 00:08:34,920 Speaker 2: think about it, because if you thought about it and 138 00:08:34,960 --> 00:08:39,640 Speaker 2: had to confront it, it's frustrating and scary. I didn't 139 00:08:39,679 --> 00:08:42,280 Speaker 2: take the stupid clot shot because I didn't hand it. 140 00:08:42,320 --> 00:08:43,959 Speaker 1: I don't have happy feet in the pocket. 141 00:08:44,800 --> 00:08:47,440 Speaker 2: I don't trust the government, and I don't just not 142 00:08:47,559 --> 00:08:50,240 Speaker 2: trust the government when Donald Trump tells me not to 143 00:08:50,240 --> 00:08:53,600 Speaker 2: trust the government, or when there's a study that comes 144 00:08:53,600 --> 00:08:55,680 Speaker 2: out that says I shouldn't have trusted the I don't 145 00:08:55,720 --> 00:08:59,680 Speaker 2: trust them ever, and that's probably a better default setting 146 00:08:59,679 --> 00:09:04,240 Speaker 2: for most of you. So Jay Bodicharia has called for 147 00:09:04,320 --> 00:09:09,000 Speaker 2: a halt to the mr NA platform itself. That is 148 00:09:09,200 --> 00:09:15,599 Speaker 2: not a good means by which to compound a dosage 149 00:09:16,120 --> 00:09:21,480 Speaker 2: as a quote unquote vaccine. It is very, very dangerous, 150 00:09:21,880 --> 00:09:26,200 Speaker 2: and it lives on forever. And the evidence is showing, 151 00:09:26,280 --> 00:09:29,840 Speaker 2: as more and more people are dropping dead with this 152 00:09:30,040 --> 00:09:34,160 Speaker 2: damn shot that it did way more damage than the 153 00:09:34,200 --> 00:09:37,880 Speaker 2: actual COVID itself, which was nothing worse than the flu 154 00:09:38,360 --> 00:09:42,440 Speaker 2: would have done. I know, I know those are crazy thoughts, Michael, 155 00:09:42,880 --> 00:09:44,760 Speaker 2: It can't be true. There's no way they're all lying 156 00:09:44,800 --> 00:09:48,800 Speaker 2: to us. You'd be surprised here he is. Oh, by 157 00:09:48,800 --> 00:09:51,800 Speaker 2: the way, he's now the NIH director. He went from 158 00:09:52,000 --> 00:09:55,280 Speaker 2: crazy kook according to Joe Biden, to he's the National 159 00:09:55,280 --> 00:09:58,600 Speaker 2: institut of Health director. He is the new doctor Fauci, 160 00:09:58,840 --> 00:10:01,560 Speaker 2: and he ain't getting paid by the pharmacy companies. 161 00:10:01,600 --> 00:10:03,960 Speaker 1: Wait till you hear what they're up to just a 162 00:10:04,000 --> 00:10:04,880 Speaker 1: moment after this clip. 163 00:10:05,160 --> 00:10:08,079 Speaker 7: The COVID vaccines themselves, if you look at the actual 164 00:10:08,160 --> 00:10:12,520 Speaker 7: uptake around the world, certainly the United States, it's collapsed standard. 165 00:10:12,760 --> 00:10:14,640 Speaker 7: I don't think we take that much more in the 166 00:10:14,679 --> 00:10:17,360 Speaker 7: sense that very very very very few people are still 167 00:10:17,360 --> 00:10:20,560 Speaker 7: taking these things, and certainly children. The uptake was never 168 00:10:20,679 --> 00:10:23,120 Speaker 7: very very high, which is which is actually really quite 169 00:10:23,160 --> 00:10:25,559 Speaker 7: a good thing, at least in the United States. So 170 00:10:27,040 --> 00:10:29,480 Speaker 7: I think in that sense, the m RNA vaccines for 171 00:10:29,640 --> 00:10:33,160 Speaker 7: COVID are already in the minds of the public in 172 00:10:33,200 --> 00:10:37,920 Speaker 7: the marketplace, effectively dead. The money that Pfizer is getting 173 00:10:37,920 --> 00:10:39,560 Speaker 7: from them, the money that majerials getting from them, is 174 00:10:39,600 --> 00:10:43,720 Speaker 7: collapsed from the astronomical levels they got in twenty twenty one. 175 00:10:44,240 --> 00:10:46,200 Speaker 7: To me, the next step is the MR and a 176 00:10:46,240 --> 00:10:50,240 Speaker 7: platform itself. So I've been looking very carefully at the 177 00:10:50,559 --> 00:10:53,880 Speaker 7: data that have started to come out on you know, 178 00:10:53,920 --> 00:10:56,640 Speaker 7: so the theory, like I'm just telling you what the 179 00:10:56,640 --> 00:10:59,560 Speaker 7: theory is versus the reality. The theory is that I 180 00:10:59,640 --> 00:11:02,840 Speaker 7: give you this MR and a code. Your body, your 181 00:11:02,880 --> 00:11:07,120 Speaker 7: cells produce the antigen that I the scientists wanted to produce. 182 00:11:07,400 --> 00:11:09,040 Speaker 1: Your your immune system. 183 00:11:08,760 --> 00:11:11,680 Speaker 7: Reacts to it and then trains it to react to 184 00:11:11,720 --> 00:11:14,160 Speaker 7: that anigen, which is similar to the some of the 185 00:11:14,679 --> 00:11:17,840 Speaker 7: the covid covid virus nogen, right, And that's why that's 186 00:11:17,840 --> 00:11:21,360 Speaker 7: the theory of the protection. The reality is that the 187 00:11:21,400 --> 00:11:25,839 Speaker 7: dose of the antigen that's produced that you're induced by 188 00:11:25,880 --> 00:11:31,600 Speaker 7: one MR and a strand it could be one, one, two, three, five, 189 00:11:32,000 --> 00:11:34,960 Speaker 7: there's no control over it. The dose of the anergen. 190 00:11:35,120 --> 00:11:38,319 Speaker 7: The dose of the mRNA you may have some control over, 191 00:11:38,360 --> 00:11:40,240 Speaker 7: but the dose of the anigen almost none because you 192 00:11:40,240 --> 00:11:41,960 Speaker 7: don't have control over how many copies are. 193 00:11:41,880 --> 00:11:45,320 Speaker 1: Made of the energen per per string. 194 00:11:45,760 --> 00:11:50,679 Speaker 7: The biodistribution of it also is not controllable. Right, So 195 00:11:51,360 --> 00:11:53,720 Speaker 7: you see evidence of harms in lots of different body 196 00:11:53,760 --> 00:11:57,240 Speaker 7: systems because The one reason might be because the bio 197 00:11:57,280 --> 00:12:01,080 Speaker 7: distribution of where these antigens are made is controllable. And 198 00:12:01,160 --> 00:12:04,520 Speaker 7: the third thing is that the fidelity of the proteins 199 00:12:04,559 --> 00:12:08,640 Speaker 7: made by the code is it for the mRNA technology 200 00:12:08,800 --> 00:12:13,640 Speaker 7: is not perfect. You often get antigens and proteins that 201 00:12:13,679 --> 00:12:16,920 Speaker 7: are not in the code itself because they're skipping frame 202 00:12:16,960 --> 00:12:20,199 Speaker 7: shifts and other things. And so from a regulatory perspective, 203 00:12:21,320 --> 00:12:24,840 Speaker 7: how is a regulator do you say, Okay, you can 204 00:12:24,920 --> 00:12:28,840 Speaker 7: give this product to people, even though you don't know 205 00:12:28,880 --> 00:12:30,839 Speaker 7: the dose that you're giving to people, even though you 206 00:12:30,880 --> 00:12:32,839 Speaker 7: don't know where it's going in the body, and even 207 00:12:32,880 --> 00:12:35,559 Speaker 7: though you don't know that you're producing the target energen 208 00:12:35,600 --> 00:12:36,400 Speaker 7: that you want to produce. 209 00:12:37,280 --> 00:12:39,559 Speaker 1: Right, and so as. 210 00:12:39,360 --> 00:12:43,280 Speaker 7: A future platform, okay, there's a Nobel Prize awarder for 211 00:12:43,320 --> 00:12:46,320 Speaker 7: the mRNA technology begin with that allowed it so that 212 00:12:46,320 --> 00:12:49,280 Speaker 7: it would actually produce the energens without your body sort 213 00:12:49,280 --> 00:12:52,640 Speaker 7: of overreacting and with this immune overreaction and destroying it 214 00:12:52,720 --> 00:12:57,160 Speaker 7: or just getting rid of it. There's going to need 215 00:12:57,200 --> 00:12:59,720 Speaker 7: to be two or three more Nobel Prize winning advances 216 00:12:59,720 --> 00:13:02,240 Speaker 7: before this is ready for prime time, I think. So 217 00:13:02,280 --> 00:13:05,760 Speaker 7: that's the next step is making sure the regulators understand 218 00:13:05,760 --> 00:13:09,000 Speaker 7: that when they improve products with this MR and a platform, 219 00:13:09,240 --> 00:13:12,200 Speaker 7: they're proving platforms where the manufacturer has no idea what 220 00:13:12,240 --> 00:13:15,240 Speaker 7: the dose they're giving, no idea where it goes in 221 00:13:15,280 --> 00:13:17,920 Speaker 7: the body, and whether the anig in itself that they're 222 00:13:17,920 --> 00:13:21,200 Speaker 7: supposedly producing is actually produced, not just off target and 223 00:13:21,280 --> 00:13:23,959 Speaker 7: also not also off target antigens as well. 224 00:13:25,600 --> 00:13:29,080 Speaker 2: I know that's a lot of science speak, but I 225 00:13:29,120 --> 00:13:37,000 Speaker 2: think you get the point. Pfizer's CEO, Albert Borlow, this 226 00:13:37,040 --> 00:13:39,360 Speaker 2: is the kind of stuff that if we told you 227 00:13:39,440 --> 00:13:42,400 Speaker 2: they were doing it, they would say, oh, those crazy 228 00:13:42,520 --> 00:13:49,439 Speaker 2: conspiracy theorists. And it turns out they are the conspiracy 229 00:13:49,480 --> 00:13:54,440 Speaker 2: theorists are undefeated the oh there they go again, crowd. 230 00:13:55,480 --> 00:13:58,600 Speaker 2: They haven't won one yet. So this is the CEO 231 00:13:58,640 --> 00:14:04,640 Speaker 2: of Pfizer eating at the World Economic Forum, where else promoting? 232 00:14:05,440 --> 00:14:06,880 Speaker 1: Are you ready for this, folks? 233 00:14:08,360 --> 00:14:14,280 Speaker 2: Promoting and ingestible that means you eat it, chip that 234 00:14:14,400 --> 00:14:19,880 Speaker 2: will track a patient's compliance. See, this has always been 235 00:14:19,920 --> 00:14:27,240 Speaker 2: about control, never health, never safety. Always about control. We 236 00:14:27,360 --> 00:14:31,360 Speaker 2: need to know that you're taking the meds. Because you're 237 00:14:31,400 --> 00:14:34,360 Speaker 2: taking the meds is how we get rich. And so 238 00:14:34,400 --> 00:14:36,640 Speaker 2: in order to know if you're taking the medge. We're 239 00:14:36,680 --> 00:14:39,280 Speaker 2: going to plant a chip in them. This is some 240 00:14:39,520 --> 00:14:43,360 Speaker 2: sci fi Aldest Huxley level crazy stuff. 241 00:14:44,400 --> 00:14:47,960 Speaker 8: FDA approved the first electronic pill, if I can call 242 00:14:48,000 --> 00:14:52,360 Speaker 8: it like that. So it is a basically biological ship 243 00:14:52,640 --> 00:14:55,520 Speaker 8: that it is in the tablet, and once you take 244 00:14:55,560 --> 00:14:58,920 Speaker 8: the tablet and this alves into your stomach, sends a signal, 245 00:14:58,960 --> 00:15:02,440 Speaker 8: But you took the tablet. So imagine the applications of 246 00:15:02,480 --> 00:15:06,200 Speaker 8: that compliance. The insturdance combines to know that the medicines 247 00:15:06,240 --> 00:15:10,040 Speaker 8: that patients should take they do take them. It is 248 00:15:10,480 --> 00:15:13,400 Speaker 8: fascinating what happens in this field. 249 00:15:13,880 --> 00:15:18,360 Speaker 1: Good thing. He doesn't sound like a Bond villain. Huhm. 250 00:15:18,400 --> 00:15:23,040 Speaker 2: Can you put a little Bond theme song under him 251 00:15:23,080 --> 00:15:27,480 Speaker 2: and have him talk? That is Bond villain central casting 252 00:15:28,400 --> 00:15:30,600 Speaker 2: in how very appropriate? 253 00:15:31,480 --> 00:15:35,400 Speaker 1: Yeah, again the father CEO bill, if. 254 00:15:35,280 --> 00:15:38,560 Speaker 8: I can call it like that. So it is basically 255 00:15:38,560 --> 00:15:42,920 Speaker 8: biological ship that it is in the tablet, and once 256 00:15:42,960 --> 00:15:45,640 Speaker 8: you take the tablet and this alves into your stomach, 257 00:15:45,720 --> 00:15:48,560 Speaker 8: that sends a signal, But you took the tablet. So 258 00:15:48,800 --> 00:15:52,880 Speaker 8: imagine the applications of that compliance. The insurance compinies to 259 00:15:52,960 --> 00:15:55,760 Speaker 8: know that the medicines that patients should take they do 260 00:15:56,280 --> 00:16:01,200 Speaker 8: to take them. It is fascinating what happens in this field. 261 00:16:02,160 --> 00:16:06,360 Speaker 1: This is Michael Verie show. Enjoy it. 262 00:16:09,480 --> 00:16:14,680 Speaker 2: A new study shows what men have always known. Good 263 00:16:14,800 --> 00:16:20,720 Speaker 2: natured ribbing is good for a friendship. It increases the 264 00:16:20,880 --> 00:16:25,600 Speaker 2: likelihood that that friendship will last. I'll play the clip 265 00:16:25,600 --> 00:16:26,960 Speaker 2: and I have a lot to say about this. 266 00:16:28,000 --> 00:16:32,200 Speaker 9: New study finds that friends who often playfully insult each 267 00:16:32,240 --> 00:16:37,680 Speaker 9: other are three hundred percent more honest and loyal. Research 268 00:16:37,720 --> 00:16:41,000 Speaker 9: shows that we should all absolutely relentlessly roast our friends. 269 00:16:41,080 --> 00:16:43,920 Speaker 9: Contrary to popular beliefs, psychologists believe that friends who grill 270 00:16:43,960 --> 00:16:47,720 Speaker 9: each other with frequent, good natured jokes might have stronger friendships. 271 00:16:47,760 --> 00:16:50,200 Speaker 1: After all, have I told you how much older you 272 00:16:50,240 --> 00:16:50,960 Speaker 1: are than me? Lately? 273 00:16:51,320 --> 00:16:59,320 Speaker 2: Off? So Stephen Levitt of Freakonomics fain would hear that 274 00:16:59,720 --> 00:17:03,280 Speaker 2: and rightfully say, you have to know the difference between 275 00:17:03,280 --> 00:17:09,240 Speaker 2: correlative and causative. You have to know what two things 276 00:17:09,320 --> 00:17:12,760 Speaker 2: happened to parallelites each other, and you have to know 277 00:17:12,840 --> 00:17:15,760 Speaker 2: the things that cause the other ones. 278 00:17:16,600 --> 00:17:16,800 Speaker 1: Right. 279 00:17:18,520 --> 00:17:23,199 Speaker 2: Being black and obese are factors that are often correlative. 280 00:17:24,240 --> 00:17:27,680 Speaker 2: There are many black people who are also obese. They're 281 00:17:27,680 --> 00:17:31,920 Speaker 2: not obese because they're black. Their blackness did not cause 282 00:17:31,960 --> 00:17:36,640 Speaker 2: their obesity. They just happened to both occur in that 283 00:17:36,680 --> 00:17:39,080 Speaker 2: one person, which happens a lot. 284 00:17:40,000 --> 00:17:42,879 Speaker 1: And we know the reason, and the reason is diet, 285 00:17:44,359 --> 00:17:45,120 Speaker 1: and you. 286 00:17:45,200 --> 00:17:52,560 Speaker 2: Have cultural norms of diet that lead to obesity. We 287 00:17:52,680 --> 00:17:57,119 Speaker 2: know that poor whites have a rate of obesity that 288 00:17:57,320 --> 00:18:03,040 Speaker 2: is many multiples of rich whites. Why poor people tend 289 00:18:03,080 --> 00:18:08,280 Speaker 2: to eat fast food and fatty food, rich people tend 290 00:18:08,320 --> 00:18:12,800 Speaker 2: to eat more refined food. Refined is probably not the 291 00:18:12,840 --> 00:18:16,560 Speaker 2: word I meant there, what would be called cleaner foods. 292 00:18:17,080 --> 00:18:22,399 Speaker 2: They're going to eat more salmons and vegetables. There's a 293 00:18:22,400 --> 00:18:25,960 Speaker 2: lot more that goes into that. Correlative means they both happen, 294 00:18:26,040 --> 00:18:31,840 Speaker 2: they correlate. Causative means it causes that people who eat 295 00:18:31,920 --> 00:18:34,680 Speaker 2: fast food as opposed to people who are black, many 296 00:18:34,680 --> 00:18:37,200 Speaker 2: of whom do eat fast food. People who eat fast 297 00:18:37,240 --> 00:18:41,639 Speaker 2: food have a much higher rate of obesity. Okay, the 298 00:18:41,800 --> 00:18:46,560 Speaker 2: fast food is causative, not just correlative. So when you 299 00:18:46,600 --> 00:18:52,879 Speaker 2: hear a study that says good natured ribbing occurs in 300 00:18:52,920 --> 00:18:56,080 Speaker 2: relationships that are three hundred percent more likely as friends 301 00:18:56,119 --> 00:19:00,959 Speaker 2: platonic non dating to last, it doesn't mean that if 302 00:19:01,000 --> 00:19:03,360 Speaker 2: you have a friendship on the rocks, y'all should start 303 00:19:03,840 --> 00:19:07,160 Speaker 2: ribbing each other because a friendship won't last anyway. What 304 00:19:07,200 --> 00:19:10,600 Speaker 2: it does mean is this, it's not the ribbing that 305 00:19:10,640 --> 00:19:15,080 Speaker 2: makes the friendship last. Ribbing is a manifestation of love 306 00:19:16,280 --> 00:19:20,280 Speaker 2: and of trust. One of the things the Left has 307 00:19:20,280 --> 00:19:22,439 Speaker 2: managed to do in this country, and they have managed 308 00:19:22,480 --> 00:19:27,440 Speaker 2: to do it, is to resegregate society. Blacks over here 309 00:19:27,440 --> 00:19:30,720 Speaker 2: and whites over here. Blacks hate the whites because the 310 00:19:30,720 --> 00:19:33,160 Speaker 2: whites are all trying to kill them, or so they're told. 311 00:19:33,200 --> 00:19:35,360 Speaker 2: The data does not support that, quite the opposite, quite 312 00:19:35,400 --> 00:19:40,320 Speaker 2: the inverse. And whites fear blacks because the data shows 313 00:19:40,960 --> 00:19:43,080 Speaker 2: that they're more likely to be attacked than anyone else, 314 00:19:43,119 --> 00:19:46,640 Speaker 2: and that blacks are more likely to do it. And 315 00:19:46,880 --> 00:19:49,840 Speaker 2: so what you end up with is people who don't 316 00:19:49,920 --> 00:19:54,040 Speaker 2: find any common ground, and so they don't live near 317 00:19:54,040 --> 00:19:55,720 Speaker 2: each other, they don't worship with each other, they don't 318 00:19:55,720 --> 00:19:57,760 Speaker 2: go to school with each other, they don't work with 319 00:19:57,840 --> 00:20:02,160 Speaker 2: each other. So they don't make friendsh and that's exactly 320 00:20:02,200 --> 00:20:06,160 Speaker 2: what the Left wants. Because you have to separate blacks 321 00:20:06,160 --> 00:20:09,920 Speaker 2: from the herd. You cannot let blacks integrate into society 322 00:20:10,480 --> 00:20:13,400 Speaker 2: if you're the Democrat party, because for you to control 323 00:20:13,520 --> 00:20:17,320 Speaker 2: ninety nine percent or ninety some high number, ninety percent 324 00:20:17,480 --> 00:20:21,520 Speaker 2: or more of a population, you cannot let them blend 325 00:20:21,600 --> 00:20:25,840 Speaker 2: in with other influences on their value system. 326 00:20:26,640 --> 00:20:28,160 Speaker 1: We know that when. 327 00:20:28,000 --> 00:20:33,040 Speaker 2: Black people leave all black neighborhoods and move to neighborhoods 328 00:20:33,040 --> 00:20:35,720 Speaker 2: that are all white except for them, they're the first 329 00:20:35,720 --> 00:20:39,400 Speaker 2: one in. We know that their politics tend to change. 330 00:20:39,800 --> 00:20:41,840 Speaker 2: We know that when blacks leave the all black church 331 00:20:42,440 --> 00:20:45,120 Speaker 2: and start going to all white churches or mixed churches, 332 00:20:45,760 --> 00:20:48,119 Speaker 2: we know that as a whole, not every single person, 333 00:20:48,119 --> 00:20:52,440 Speaker 2: but many, their politics will change. The worship experience may change. 334 00:20:52,840 --> 00:20:56,640 Speaker 2: We know that when blacks enter the workforce in an 335 00:20:56,680 --> 00:21:01,520 Speaker 2: all white environment that they tend to change their value 336 00:21:01,560 --> 00:21:05,040 Speaker 2: systems regarding a number of things. And we know that 337 00:21:05,080 --> 00:21:10,480 Speaker 2: as blacks move out of all black influence in their lives, school, work, 338 00:21:10,960 --> 00:21:18,920 Speaker 2: neighbor family, church, we know that their attitudes with regard 339 00:21:19,000 --> 00:21:23,320 Speaker 2: to crime and punishment tend to change. We know that 340 00:21:23,320 --> 00:21:30,239 Speaker 2: their attitudes on American patriotism and opportunity and sacrifice and 341 00:21:30,320 --> 00:21:34,400 Speaker 2: thrift and all of these things tend to change. 342 00:21:34,600 --> 00:21:34,840 Speaker 1: Well. 343 00:21:35,080 --> 00:21:38,880 Speaker 2: We know it, and the people who need to accumulate 344 00:21:38,960 --> 00:21:40,240 Speaker 2: power on their backs. 345 00:21:40,520 --> 00:21:40,920 Speaker 8: Know it. 346 00:21:41,920 --> 00:21:43,600 Speaker 2: So how do we hold on to people who are 347 00:21:43,600 --> 00:21:47,399 Speaker 2: going out into the world. If your child is leaving 348 00:21:47,880 --> 00:21:51,240 Speaker 2: home and moving forward states away, your influence on them 349 00:21:51,320 --> 00:21:56,440 Speaker 2: is going to change, right, Well, if they're slaves, which 350 00:21:56,480 --> 00:21:58,640 Speaker 2: is how they view blacks, Let's be very clear, that's 351 00:21:58,640 --> 00:22:01,879 Speaker 2: how the Democrats view blacks. They they own those people. 352 00:22:02,320 --> 00:22:04,679 Speaker 2: And if you don't believe they own them, and you 353 00:22:04,720 --> 00:22:07,920 Speaker 2: want to see the slave master engage in the violence 354 00:22:07,920 --> 00:22:12,160 Speaker 2: of the slave master, you watch a black independent. 355 00:22:12,880 --> 00:22:17,080 Speaker 1: You watch how white liberals will shred them. They will 356 00:22:17,200 --> 00:22:19,480 Speaker 1: call them the nastiest names. 357 00:22:19,880 --> 00:22:24,960 Speaker 2: They will attack their sexuality, they will attack their manhood, 358 00:22:25,000 --> 00:22:27,960 Speaker 2: they will attack their brain, they will claim. 359 00:22:27,720 --> 00:22:29,000 Speaker 1: They are traitors to the race. 360 00:22:30,160 --> 00:22:32,679 Speaker 2: If you are not aware of this because you've not 361 00:22:32,720 --> 00:22:35,600 Speaker 2: seen it firsthand, trust me on this. 362 00:22:36,560 --> 00:22:40,160 Speaker 1: Believe me. This is true. 363 00:22:40,320 --> 00:22:45,800 Speaker 2: It is absolutely true. They view black people as their pets. 364 00:22:46,640 --> 00:22:49,120 Speaker 2: They view black people as the votes they can count 365 00:22:49,200 --> 00:22:53,200 Speaker 2: on for ideas that they can't get the average white 366 00:22:53,240 --> 00:22:57,360 Speaker 2: people to vote for, so they have to go over 367 00:22:57,359 --> 00:23:02,800 Speaker 2: there and build their power base on blacks Hispanics, who 368 00:23:02,840 --> 00:23:05,320 Speaker 2: they have to convince you don't fit in. Whites don't 369 00:23:05,359 --> 00:23:06,800 Speaker 2: like you. They all they want to deport you, even 370 00:23:06,800 --> 00:23:08,919 Speaker 2: though you've been here for eight generations. They want to 371 00:23:08,920 --> 00:23:10,160 Speaker 2: deport you. 372 00:23:10,240 --> 00:23:10,600 Speaker 1: Gays. 373 00:23:11,880 --> 00:23:15,680 Speaker 2: Uh, they create young people. They have created a coalition, 374 00:23:16,119 --> 00:23:19,959 Speaker 2: but in order to maintain the power over that coalition, 375 00:23:21,080 --> 00:23:25,120 Speaker 2: they have to keep d Really, it's a sci fi novel. 376 00:23:25,720 --> 00:23:29,359 Speaker 2: It's it's like something Huxley would write. It is the 377 00:23:29,440 --> 00:23:33,919 Speaker 2: control of your brain through through this. It's it's like 378 00:23:34,000 --> 00:23:39,520 Speaker 2: in U a clockwork orange when when uh, lovely, lovely 379 00:23:39,640 --> 00:23:43,400 Speaker 2: Ludwig Vaughan is taken from something that Malcolm McDowell, your 380 00:23:43,400 --> 00:23:49,840 Speaker 2: your Your lead character loves to images that are and uh, 381 00:23:50,560 --> 00:23:52,720 Speaker 2: poison is put into his body, causing him to throw 382 00:23:52,800 --> 00:23:56,000 Speaker 2: up as he hears that, so that his favorite classical 383 00:23:56,359 --> 00:24:01,520 Speaker 2: piece becomes the most hated thing to him. They retrained 384 00:24:01,520 --> 00:24:07,280 Speaker 2: his brain, and they retrained the brain of liberals, especially blacks, 385 00:24:07,920 --> 00:24:12,639 Speaker 2: young people, women. Every day in this control the Michael 386 00:24:12,720 --> 00:24:19,919 Speaker 2: Berry Show. 387 00:24:17,600 --> 00:24:19,639 Speaker 1: We'll listen some good news if you needed it today. 388 00:24:19,640 --> 00:24:23,560 Speaker 2: Pete Hegseth, the Defense Secretary on Fox News, says the 389 00:24:23,720 --> 00:24:28,800 Speaker 2: Trump presidency has caused good people to want to join 390 00:24:28,880 --> 00:24:32,160 Speaker 2: our military, to serve our country, to wear our uniform, 391 00:24:32,240 --> 00:24:35,600 Speaker 2: to defend us against enemies, the. 392 00:24:35,600 --> 00:24:37,200 Speaker 1: Army, Air Force, Marines. 393 00:24:37,840 --> 00:24:40,400 Speaker 3: You were up one hundred and eight percent in November, 394 00:24:40,440 --> 00:24:43,520 Speaker 3: one hundred and nineteen percent in February one hundred and 395 00:24:43,520 --> 00:24:46,040 Speaker 3: eight percent after election, one hundred and five percent. 396 00:24:45,800 --> 00:24:48,120 Speaker 1: With the Navy, with the Marines. 397 00:24:47,720 --> 00:24:49,879 Speaker 3: Up one hundred and twelve percent and one hundred percent 398 00:24:50,760 --> 00:24:54,000 Speaker 3: they are through the roof the US Air Force one 399 00:24:54,080 --> 00:24:58,119 Speaker 3: hundred percent of its goal, same thing in February, and 400 00:24:58,400 --> 00:25:01,320 Speaker 3: Space Force is also over one hundred percent. 401 00:25:02,240 --> 00:25:02,680 Speaker 1: I think the. 402 00:25:02,640 --> 00:25:06,679 Speaker 3: Warfighters are happy to have a warfighter up top. Mister Secretary, 403 00:25:07,359 --> 00:25:08,920 Speaker 3: with all this controvers. 404 00:25:08,520 --> 00:25:11,359 Speaker 1: Everything's swirling around, have you ever doubted your decision to 405 00:25:11,400 --> 00:25:14,200 Speaker 1: take this job? Oh, not for a minute. 406 00:25:14,280 --> 00:25:16,480 Speaker 10: I didn't hesitate when the President asked me, and I 407 00:25:16,480 --> 00:25:19,920 Speaker 10: haven't hesitated for a moment. Because those numbers are reflection 408 00:25:20,040 --> 00:25:23,000 Speaker 10: of why we're here. We call it the Trump bump. Internally, 409 00:25:23,040 --> 00:25:26,560 Speaker 10: the reality is when war fighting and lethality is brought 410 00:25:26,600 --> 00:25:30,280 Speaker 10: back and it's serious that what we're doing here is 411 00:25:30,320 --> 00:25:34,480 Speaker 10: serious about getting after soldiering and war fighting. American people 412 00:25:34,520 --> 00:25:36,520 Speaker 10: want to come back in, they want to sign up. 413 00:25:36,680 --> 00:25:38,240 Speaker 1: These recruiting numbers don't surprise me. 414 00:25:38,400 --> 00:25:41,439 Speaker 10: They don't surprise me one bit They're a reflection of 415 00:25:41,480 --> 00:25:45,359 Speaker 10: a yearning from the American public of young people to 416 00:25:45,359 --> 00:25:47,800 Speaker 10: be proud of their country, to be proud of their military, 417 00:25:48,000 --> 00:25:49,439 Speaker 10: to make sure when they serve their. 418 00:25:49,280 --> 00:25:50,200 Speaker 1: Given everything they need. 419 00:25:50,200 --> 00:25:53,000 Speaker 10: That's why we've I've fought for the budget that the 420 00:25:53,040 --> 00:25:56,199 Speaker 10: Defense Department requires, and the President said, we'll have our 421 00:25:56,240 --> 00:26:00,000 Speaker 10: first trillion dollar budget because my kids, my fourteen year old, 422 00:26:00,560 --> 00:26:03,119 Speaker 10: if he joins, he's going to have a great military, 423 00:26:03,200 --> 00:26:05,359 Speaker 10: He's going to have peace through strength because of the 424 00:26:05,440 --> 00:26:09,080 Speaker 10: historic investments of this president's own. No, I haven't blinked, 425 00:26:09,280 --> 00:26:12,920 Speaker 10: and I won't blink because this job is too big 426 00:26:12,960 --> 00:26:15,520 Speaker 10: and too important for the American people, and I'm grateful. 427 00:26:17,240 --> 00:26:21,840 Speaker 2: The good doesn't end. They took your money and they 428 00:26:21,880 --> 00:26:26,000 Speaker 2: took over the student loan debt business. Barack Obama did 429 00:26:26,040 --> 00:26:29,520 Speaker 2: thatb and the reason is not to help the students. Again, 430 00:26:29,680 --> 00:26:34,080 Speaker 2: it's about power. The government got into the student loan 431 00:26:34,160 --> 00:26:38,800 Speaker 2: business because a government powerful enough to give you a 432 00:26:38,880 --> 00:26:42,440 Speaker 2: loan to go to college is powerful enough to keep 433 00:26:42,480 --> 00:26:45,840 Speaker 2: you from getting that loan if you say or do 434 00:26:46,000 --> 00:26:50,840 Speaker 2: anything we don't like. You're out there telling people not 435 00:26:51,119 --> 00:26:56,639 Speaker 2: to take the clock shot. Well, we'll meet through the 436 00:26:56,720 --> 00:27:01,760 Speaker 2: FBI with Facebook every week, and have you deplatformed. You're 437 00:27:01,800 --> 00:27:05,880 Speaker 2: out there suggesting that the clock shot doesn't work, or 438 00:27:05,880 --> 00:27:07,960 Speaker 2: this or that or this or that. Well, guess what, 439 00:27:09,560 --> 00:27:15,959 Speaker 2: you don't qualify you're a social justice score suggests that 440 00:27:16,000 --> 00:27:17,840 Speaker 2: you're not a good risk for a student loan. 441 00:27:17,920 --> 00:27:19,080 Speaker 1: But I've paid back every loan. 442 00:27:19,480 --> 00:27:22,359 Speaker 2: No, no, no, no, you don't understand. This is a 443 00:27:22,400 --> 00:27:24,360 Speaker 2: metric that has nothing to do with whether you'll pay 444 00:27:24,359 --> 00:27:27,640 Speaker 2: it back. We're never going to make anybody pay it back. 445 00:27:29,040 --> 00:27:31,560 Speaker 2: We just call it a loan. And then after you 446 00:27:31,600 --> 00:27:33,840 Speaker 2: get the loan and you go through your re education 447 00:27:34,040 --> 00:27:35,840 Speaker 2: camp when you get. 448 00:27:35,720 --> 00:27:37,680 Speaker 1: Out, if you show you're a good. 449 00:27:37,560 --> 00:27:43,719 Speaker 2: Soldier or our communist Marxist progressivism, then we'll forgive your 450 00:27:43,720 --> 00:27:46,240 Speaker 2: student loan, but only a little bit at a time, 451 00:27:46,359 --> 00:27:49,320 Speaker 2: so you keep voting for us, because otherwise you might 452 00:27:49,440 --> 00:27:54,440 Speaker 2: forget how grateful you're supposed to be. Well, what about 453 00:27:54,440 --> 00:27:58,720 Speaker 2: the guy that graduates high school or doesn't and goes 454 00:27:58,760 --> 00:28:02,160 Speaker 2: to work with his daddy as a plumber, starts at 455 00:28:02,160 --> 00:28:06,119 Speaker 2: the bottom sweeping up, stays late, drives his dad to 456 00:28:06,160 --> 00:28:11,200 Speaker 2: the job, learns the business. Eventually his dad hands it 457 00:28:11,240 --> 00:28:13,120 Speaker 2: over to him. He pays his dad out and as 458 00:28:13,119 --> 00:28:16,760 Speaker 2: his dad retires and he didn't go to college, he 459 00:28:16,800 --> 00:28:21,120 Speaker 2: didn't get to wear the toga and have fraternity parties. 460 00:28:22,000 --> 00:28:25,040 Speaker 2: He just pays taxes and those taxes are then redirected 461 00:28:25,600 --> 00:28:30,159 Speaker 2: to the kids who go to fraternity parties. Why is 462 00:28:30,200 --> 00:28:32,880 Speaker 2: that just if you want to go have a four 463 00:28:32,960 --> 00:28:35,959 Speaker 2: year party? So bit, I'm not against it. My oldest 464 00:28:35,960 --> 00:28:38,600 Speaker 2: son is at the University of Texas right now, and 465 00:28:38,920 --> 00:28:41,240 Speaker 2: I'm proud to pay for it, and I'm lucky I 466 00:28:41,280 --> 00:28:44,040 Speaker 2: can't pay for it, to be completely honest, we started 467 00:28:44,040 --> 00:28:49,240 Speaker 2: saving when he was two years old, and I'm delighted 468 00:28:49,280 --> 00:28:51,840 Speaker 2: he's having the experience and he's making a lot of 469 00:28:51,880 --> 00:28:54,600 Speaker 2: contacts and he's learning a lot of things. And it's 470 00:28:54,680 --> 00:28:57,719 Speaker 2: my dream that one day he'd be a filmmaker. But 471 00:28:57,760 --> 00:29:01,200 Speaker 2: that has to be his dream. We'll see, because I 472 00:29:01,240 --> 00:29:04,400 Speaker 2: think you can really change the world through film. But 473 00:29:04,840 --> 00:29:07,840 Speaker 2: we'll see what he does with his degree when the 474 00:29:07,880 --> 00:29:10,560 Speaker 2: time comes. But I don't believe the government should have 475 00:29:10,560 --> 00:29:12,560 Speaker 2: gotten in the student loan business to start with. And 476 00:29:12,600 --> 00:29:14,760 Speaker 2: I don't believe the government should pick winners and losers. 477 00:29:14,840 --> 00:29:18,760 Speaker 2: Oh you don't have to pay your student loans back? Well, well, 478 00:29:18,800 --> 00:29:22,440 Speaker 2: what about everybody else? We got to pay our credit cards, 479 00:29:22,480 --> 00:29:23,840 Speaker 2: we got to pay our house, we got. 480 00:29:23,720 --> 00:29:24,360 Speaker 1: To pay our car. 481 00:29:25,280 --> 00:29:27,440 Speaker 2: And you go, yeah, but we told all the young 482 00:29:27,480 --> 00:29:30,720 Speaker 2: people to vote for us. What And you know what's 483 00:29:30,760 --> 00:29:34,160 Speaker 2: amazing about that? I just saw a staff fifty five 484 00:29:34,320 --> 00:29:39,120 Speaker 2: percent of young men eighteen to twenty one voted for 485 00:29:39,200 --> 00:29:43,800 Speaker 2: Donald Trump, not Kamala Harris. Fifty five percent eighteen to 486 00:29:43,840 --> 00:29:50,200 Speaker 2: twenty one. That is a massive change in historical numbers. 487 00:29:50,680 --> 00:29:55,240 Speaker 2: You remember what Winston Churchill said, if you're eighteen and 488 00:29:55,360 --> 00:29:57,840 Speaker 2: not an if you're thirty five and not a liberal, 489 00:29:57,920 --> 00:29:58,600 Speaker 2: you have no heart. 490 00:30:00,160 --> 00:30:00,800 Speaker 1: Thirty five. 491 00:30:01,600 --> 00:30:03,720 Speaker 2: Sorry, if you're eighteen and not a liberal, you have 492 00:30:03,800 --> 00:30:06,760 Speaker 2: no heart. If you're thirty five and not a conservative, 493 00:30:06,800 --> 00:30:11,000 Speaker 2: you have no head. Young people are notoriously hard to 494 00:30:11,120 --> 00:30:15,040 Speaker 2: get to vote right, to get to think about big issues. 495 00:30:16,040 --> 00:30:18,360 Speaker 2: They drive past the homeless guy at the bus shelter 496 00:30:18,800 --> 00:30:20,360 Speaker 2: screaming craziness and say. 497 00:30:20,520 --> 00:30:23,920 Speaker 1: Let's stop and help him, mama, let's bring him home 498 00:30:24,000 --> 00:30:24,920 Speaker 1: with us. 499 00:30:25,480 --> 00:30:27,520 Speaker 2: Because they're young and dumb, they had learned they will, 500 00:30:27,600 --> 00:30:30,080 Speaker 2: you hope they will. It's a transition period, you know. 501 00:30:30,480 --> 00:30:33,080 Speaker 1: Well, now that's a whole different meaning. Transition period or moment. 502 00:30:33,840 --> 00:30:36,760 Speaker 2: Lord help us all what times we're living through. But 503 00:30:36,800 --> 00:30:38,960 Speaker 2: here is Carolyn love Att, the White House Press Secretary. 504 00:30:39,000 --> 00:30:40,320 Speaker 2: I guess we'll take this one to the break. I 505 00:30:40,320 --> 00:30:43,840 Speaker 2: just rose them up against a break. I play this 506 00:30:43,960 --> 00:30:46,600 Speaker 2: for you to tell you that Trump's doing what he 507 00:30:46,600 --> 00:30:49,000 Speaker 2: said he would. And you know he doesn't have to 508 00:30:49,040 --> 00:30:52,800 Speaker 2: do all this. Our folks are gonna love Trump because 509 00:30:52,840 --> 00:30:57,360 Speaker 2: he won and defeated Kamala. Everything he does, he's making 510 00:30:57,480 --> 00:31:03,560 Speaker 2: enemies more enemies by doing this. Then he gains fans 511 00:31:03,840 --> 00:31:06,480 Speaker 2: because our people are already with him. But he's doing 512 00:31:06,520 --> 00:31:10,040 Speaker 2: it because it's the right darn thing to do. So 513 00:31:10,080 --> 00:31:12,000 Speaker 2: I'll take it to the break on Carolyn Levitt with 514 00:31:12,360 --> 00:31:13,400 Speaker 2: the President doing what he. 515 00:31:13,360 --> 00:31:14,000 Speaker 1: Promised you to do. 516 00:31:14,520 --> 00:31:17,200 Speaker 11: In other news, the Trump administration has announced we will 517 00:31:17,200 --> 00:31:20,760 Speaker 11: put an end to Joe Biden's illegal student loan bailout attempts. 518 00:31:21,240 --> 00:31:24,480 Speaker 11: No student loan has been referred to collections since March 519 00:31:24,560 --> 00:31:25,600 Speaker 11: of twenty twenty. 520 00:31:26,040 --> 00:31:27,959 Speaker 1: That comes to an end on May fifth. 521 00:31:28,160 --> 00:31:32,200 Speaker 11: The Department of Education will resume involuntary collections for borrowers 522 00:31:32,240 --> 00:31:36,320 Speaker 11: with defaulted federal student loans. The student loan portfolio controlled 523 00:31:36,320 --> 00:31:40,160 Speaker 11: by the federal government is nearly one point six trillion dollars, 524 00:31:40,680 --> 00:31:44,200 Speaker 11: but fewer than four out of ten borrowers are in repayment. 525 00:31:44,640 --> 00:31:49,959 Speaker 11: This is unsustainable, unfair, and a huge liability for American taxpayers. 526 00:31:50,600 --> 00:31:53,400 Speaker 11: Debt cannot be wiped away. It just ends up getting 527 00:31:53,400 --> 00:31:56,320 Speaker 11: transferred to others. So why should Americans who didn't go 528 00:31:56,360 --> 00:31:59,080 Speaker 11: to college or went to college and responsibly paid back 529 00:31:59,080 --> 00:32:01,920 Speaker 11: their loans pay for the student loans of other Americans. 530 00:32:02,320 --> 00:32:05,560 Speaker 11: The Trump administration will never force taxpayers to pay student 531 00:32:05,600 --> 00:32:09,200 Speaker 11: loan debts that don't belong to them. Student loan borrowers 532 00:32:09,240 --> 00:32:12,560 Speaker 11: need clarity, and we're finally giving it to them. Borrowers 533 00:32:12,600 --> 00:32:15,440 Speaker 11: will now be clearly expected to repay their loans, and 534 00:32:15,480 --> 00:32:19,760 Speaker 11: those who default on their loan obligations will face involuntary collections. 535 00:32:20,240 --> 00:32:23,400 Speaker 11: The government can and will collect defaulted federal student loan 536 00:32:23,440 --> 00:32:27,400 Speaker 11: debt by withholding money from borrowers, tax refunds, federal pensions, 537 00:32:27,400 --> 00:32:30,920 Speaker 11: and even their wages. America is thirty six trillion dollars 538 00:32:30,960 --> 00:32:33,160 Speaker 11: in debt. We must get our fiscal house in order 539 00:32:33,200 --> 00:32:36,080 Speaker 11: and restore common sense to our country. If you take 540 00:32:36,120 --> 00:32:38,280 Speaker 11: out a loan, you have to pay it back. It's 541 00:32:38,400 --> 00:32:41,560 Speaker 11: very simple. President Trump will not kick the can down 542 00:32:41,600 --> 00:32:42,440 Speaker 11: the road. Anymore. 543 00:32:42,640 --> 00:32:45,720 Speaker 1: That's true of everything he's doing. It's a great way 544 00:32:45,720 --> 00:32:50,000 Speaker 1: to end the show, and good night