1 00:00:08,640 --> 00:00:11,080 Speaker 1: Rich Libs to the rescue. 2 00:00:11,200 --> 00:00:14,720 Speaker 2: Can the folks that suffer from severe savior complex save 3 00:00:15,000 --> 00:00:18,840 Speaker 2: NPR and PBS. Also, the border Wall is getting a 4 00:00:18,880 --> 00:00:22,160 Speaker 2: new fresh code of paint. It is funny and also 5 00:00:22,520 --> 00:00:26,120 Speaker 2: kind of makes a lot of sense. And more DC 6 00:00:26,600 --> 00:00:30,200 Speaker 2: problems with the statistics around how the police are counting 7 00:00:30,320 --> 00:00:33,360 Speaker 2: things including death. All that and coming up on this 8 00:00:33,400 --> 00:00:35,279 Speaker 2: episode at Turning Point tonight. My name is Joe Bob. 9 00:00:35,320 --> 00:00:37,640 Speaker 2: Thanks so much for tuning in. Together we are charting 10 00:00:37,680 --> 00:00:42,000 Speaker 2: the course of America's cultural comeback. This is Turning Point tonight. Remember, 11 00:00:42,000 --> 00:00:44,279 Speaker 2: you can email the show any time you want. We've 12 00:00:44,320 --> 00:00:47,319 Speaker 2: got so many fascinating emails that come in TPT at 13 00:00:47,320 --> 00:00:48,479 Speaker 2: tpusa dot com. 14 00:00:48,520 --> 00:00:50,599 Speaker 1: We love seeing each and every one of your emails. 15 00:00:50,880 --> 00:00:52,560 Speaker 2: Whether you agree with everything we've ever said on the 16 00:00:52,600 --> 00:00:55,720 Speaker 2: show or you're wrong, doesn't matter. Love seeing them TPT 17 00:00:55,880 --> 00:00:58,200 Speaker 2: at tpusa dot com. Now, before we get to those 18 00:00:58,200 --> 00:01:00,480 Speaker 2: stories and our fantastic panel for and we do have 19 00:01:00,520 --> 00:01:02,639 Speaker 2: a fantastic panel for it, today, we got to talk 20 00:01:02,640 --> 00:01:05,720 Speaker 2: about what is going on in the state of Oklahoma. 21 00:01:05,840 --> 00:01:08,640 Speaker 1: I think this is fascinating. I think it is interesting, 22 00:01:08,680 --> 00:01:13,120 Speaker 1: it's awesome and should be mandatory in every state. 23 00:01:13,319 --> 00:01:16,919 Speaker 2: In the country, well in forty eight of the states, 24 00:01:16,920 --> 00:01:19,920 Speaker 2: because two of them can't participate because they're at the 25 00:01:20,040 --> 00:01:24,600 Speaker 2: crux of what the issue is. Oklahoma, the education guy, 26 00:01:24,640 --> 00:01:28,440 Speaker 2: the superintendent over at Oklahoma's Education Department, said he will 27 00:01:28,480 --> 00:01:32,960 Speaker 2: now be requiring a new test for any teacher to 28 00:01:33,040 --> 00:01:37,400 Speaker 2: become certified to teach in Oklahoma. If you are coming 29 00:01:37,400 --> 00:01:40,200 Speaker 2: to the state from New York or California, Yes, in 30 00:01:40,240 --> 00:01:44,679 Speaker 2: an attempt to eliminate woke radical left ideology, says, Hey, 31 00:01:44,880 --> 00:01:47,520 Speaker 2: we're going to give you this test to make sure 32 00:01:47,640 --> 00:01:51,120 Speaker 2: that you're not a freaking crazy person coming from the 33 00:01:51,160 --> 00:01:53,760 Speaker 2: most ridiculous states in the Union. Now you may be 34 00:01:53,800 --> 00:01:57,200 Speaker 2: wondering why is Dennis Praeger on the screen in the 35 00:01:58,080 --> 00:02:00,800 Speaker 2: over the shoulder box. Well, the reason is because the 36 00:02:00,920 --> 00:02:03,040 Speaker 2: test will be administered by Preger. 37 00:02:03,120 --> 00:02:03,200 Speaker 3: You. 38 00:02:03,320 --> 00:02:05,920 Speaker 2: It'll be a fifty question test, and although the Oklahoma 39 00:02:06,520 --> 00:02:10,200 Speaker 2: superintendent hasn't released the full test, they did release a 40 00:02:10,240 --> 00:02:14,400 Speaker 2: couple sample questions. And before libs lose their mind, I 41 00:02:14,440 --> 00:02:17,160 Speaker 2: have pretty strong opinions on this. If you can't answer 42 00:02:17,200 --> 00:02:20,639 Speaker 2: some of these questions for the sample question, I don't 43 00:02:20,639 --> 00:02:23,079 Speaker 2: know why you have any business teaching America's kids, let 44 00:02:23,120 --> 00:02:25,960 Speaker 2: alone freaking voting. Although I don't know if I have 45 00:02:26,000 --> 00:02:29,760 Speaker 2: the power to unilaterally take away that right from American citizens. 46 00:02:29,919 --> 00:02:30,760 Speaker 1: I wish I did. 47 00:02:30,840 --> 00:02:33,320 Speaker 2: But some of the questions, well, for example, one of 48 00:02:33,320 --> 00:02:37,600 Speaker 2: the questions is this, can you name or recite the 49 00:02:37,720 --> 00:02:42,040 Speaker 2: first three words in the US Constitution? Now, I'll give 50 00:02:42,160 --> 00:02:44,760 Speaker 2: AOC and our other LIB viewers a chance to think 51 00:02:44,760 --> 00:02:47,440 Speaker 2: about that, because that's not something they're familiar with the 52 00:02:47,440 --> 00:02:50,840 Speaker 2: whole US Constitution and the idea of America as a whole. 53 00:02:51,160 --> 00:02:54,440 Speaker 2: But again, if you can't answer that question, yeah, I 54 00:02:54,480 --> 00:02:57,320 Speaker 2: don't think you should be teaching in Oklahoma schools, let 55 00:02:57,360 --> 00:03:00,840 Speaker 2: alone voting in our elections. I think you should self 56 00:03:01,040 --> 00:03:04,680 Speaker 2: unvote or keep yourself from the polls, because if you 57 00:03:04,720 --> 00:03:07,000 Speaker 2: don't know that, I'm not sure what else you know. 58 00:03:07,360 --> 00:03:10,080 Speaker 2: Here to comments on that and so much more is 59 00:03:10,280 --> 00:03:12,720 Speaker 2: Justine Murray, who's with the Media Research Center and Turning 60 00:03:12,720 --> 00:03:15,799 Speaker 2: Point USA contributor Anthony Watson. Guys, thanks so much for joining. 61 00:03:15,840 --> 00:03:17,080 Speaker 2: Really appreciate you taking the time. 62 00:03:17,480 --> 00:03:18,399 Speaker 4: Thanks for having me on. 63 00:03:19,320 --> 00:03:23,440 Speaker 1: Anthony. Let's start with you here. There's obviously pushback. 64 00:03:23,880 --> 00:03:28,840 Speaker 2: Randy Winingarten, the head of the biggest mob sorry teachers 65 00:03:28,960 --> 00:03:31,000 Speaker 2: union in the country, is saying. 66 00:03:30,760 --> 00:03:33,320 Speaker 1: This is just a mag loyalty test. 67 00:03:33,919 --> 00:03:36,480 Speaker 2: What do you think about Oklahoma instituting a test for 68 00:03:36,600 --> 00:03:39,880 Speaker 2: teachers coming from again New York at California. 69 00:03:40,680 --> 00:03:43,160 Speaker 5: Well, I think it's what everyone's been saying in the media, 70 00:03:43,280 --> 00:03:46,200 Speaker 5: everyone who's a parent, everyone who's been in communities that 71 00:03:46,240 --> 00:03:49,000 Speaker 5: have seen people impacted by the lack of education, and. 72 00:03:49,000 --> 00:03:50,960 Speaker 4: From what schools have been producing nowadays. 73 00:03:51,160 --> 00:03:54,080 Speaker 5: And if everyone remembers, if you look at the electoral 74 00:03:54,160 --> 00:03:57,560 Speaker 5: voting map from twenty twenty four, Oklahoma was the only 75 00:03:57,640 --> 00:04:01,960 Speaker 5: state that was entirely read. There was no blue, no Liberal, 76 00:04:02,000 --> 00:04:03,680 Speaker 5: and no counties in there that did that. 77 00:04:03,800 --> 00:04:05,160 Speaker 4: So it's no surprise to me. 78 00:04:05,320 --> 00:04:07,560 Speaker 5: We're all across the country, all of these big cities, 79 00:04:07,760 --> 00:04:11,240 Speaker 5: these corrupt school boards where education has been proven to fail. 80 00:04:11,360 --> 00:04:14,000 Speaker 5: The people that it's been designed to help are now 81 00:04:14,080 --> 00:04:16,600 Speaker 5: looking to the Midwest to now find out what it 82 00:04:16,640 --> 00:04:20,080 Speaker 5: is that's working, that's actually started to produce results. 83 00:04:20,600 --> 00:04:23,000 Speaker 4: All of these things that you've started seeing from everybody else. 84 00:04:23,200 --> 00:04:25,160 Speaker 5: Everyone has been saying, it's this new thing that's going 85 00:04:25,200 --> 00:04:27,840 Speaker 5: to make it easier, going to make education and information 86 00:04:27,880 --> 00:04:30,880 Speaker 5: more attainable and more applicable in areas. You know, if 87 00:04:30,920 --> 00:04:32,920 Speaker 5: we just tell kids how gay they are, or how 88 00:04:32,960 --> 00:04:35,039 Speaker 5: black they are, or how pressed they are, all of 89 00:04:35,040 --> 00:04:36,599 Speaker 5: these other things, and then when they get into the 90 00:04:36,640 --> 00:04:39,320 Speaker 5: real world, they're not equipped for anything that is corporate. 91 00:04:39,320 --> 00:04:41,839 Speaker 5: They're not equipped for anything that actually has merit or 92 00:04:41,880 --> 00:04:44,680 Speaker 5: any kind of meritocracy, or any kind of articulation that 93 00:04:44,720 --> 00:04:47,240 Speaker 5: needs to show that they've actually learned something, which then 94 00:04:47,320 --> 00:04:48,840 Speaker 5: sends them just to go work for all of these 95 00:04:48,880 --> 00:04:51,159 Speaker 5: nonprofits where they just rage bake people in the guilt 96 00:04:51,160 --> 00:04:54,279 Speaker 5: tripping them into giving them more money. So Dennis Prager 97 00:04:54,320 --> 00:04:56,920 Speaker 5: has always been the leader of all of these things, 98 00:04:56,960 --> 00:04:58,720 Speaker 5: from his informational videos to all the. 99 00:04:58,760 --> 00:04:59,960 Speaker 4: Education that he's put out there. 100 00:05:00,040 --> 00:05:02,000 Speaker 5: So I'm really excited and I'm really impressed to see 101 00:05:02,000 --> 00:05:03,320 Speaker 5: what Oklahoma produces. 102 00:05:03,000 --> 00:05:03,279 Speaker 4: Out of that. 103 00:05:03,800 --> 00:05:06,120 Speaker 2: I really am excited to it. I'm excited to prayer 104 00:05:06,240 --> 00:05:11,279 Speaker 2: you is going to be administering those tests. Justine Tina Ellsworth, 105 00:05:11,360 --> 00:05:14,200 Speaker 2: who is the president of the nonprofit National Council for 106 00:05:14,320 --> 00:05:16,320 Speaker 2: Social Studies, said this, and this. 107 00:05:16,279 --> 00:05:16,880 Speaker 1: Is a quote. 108 00:05:17,160 --> 00:05:20,719 Speaker 2: State boards of education should stay true to the values 109 00:05:20,760 --> 00:05:25,040 Speaker 2: and principles of the US Constitution. Imposing an ideology test 110 00:05:25,360 --> 00:05:28,640 Speaker 2: to become a teacher in our great democracy is antithetical 111 00:05:28,720 --> 00:05:32,200 Speaker 2: to those principles. In other words, saying, okay, asking teachers 112 00:05:32,240 --> 00:05:36,279 Speaker 2: if they know anything about the Constitution is not constitutional. 113 00:05:36,320 --> 00:05:38,640 Speaker 2: I'm not sure if that makes sense, but what are 114 00:05:38,680 --> 00:05:39,640 Speaker 2: your thoughts there? 115 00:05:40,680 --> 00:05:40,840 Speaker 4: Right? 116 00:05:40,880 --> 00:05:43,200 Speaker 6: And you think being a social studies teacher you would 117 00:05:43,200 --> 00:05:46,280 Speaker 6: be required to know what the Constitution actually states and 118 00:05:46,360 --> 00:05:50,320 Speaker 6: not actually stand against a cognitive test. But of course 119 00:05:50,360 --> 00:05:52,919 Speaker 6: these people would be angry, especially coming from New York 120 00:05:53,120 --> 00:05:56,680 Speaker 6: where they actually they did away with cognitive tests in 121 00:05:56,760 --> 00:06:00,760 Speaker 6: order to become a teacher just recently, and Ffoornia, where 122 00:06:00,800 --> 00:06:05,760 Speaker 6: San Francisco required students to take these critical race theory 123 00:06:05,839 --> 00:06:10,200 Speaker 6: courses they taught sixteen nineteen as an ideology, claiming that 124 00:06:10,279 --> 00:06:14,200 Speaker 6: America was founded in sixteen nineteen and America was based 125 00:06:14,240 --> 00:06:17,320 Speaker 6: on slavery and evil. They're the ones who wanted to 126 00:06:17,400 --> 00:06:20,599 Speaker 6: change history and indoctrinate students, and now they're claiming that, 127 00:06:20,800 --> 00:06:23,800 Speaker 6: oh well, prigger, you asking you to basically know your 128 00:06:23,960 --> 00:06:26,960 Speaker 6: history and know your facts before becoming a teacher, Well, 129 00:06:27,120 --> 00:06:28,280 Speaker 6: that's in doctrination. 130 00:06:29,440 --> 00:06:29,760 Speaker 1: Yeah. 131 00:06:29,960 --> 00:06:33,080 Speaker 2: It is ridiculous too, especially when you saw places like 132 00:06:33,120 --> 00:06:35,280 Speaker 2: California saying, hey, in order to be a part of 133 00:06:35,279 --> 00:06:38,279 Speaker 2: our school faculty here at the University of California. You 134 00:06:38,320 --> 00:06:41,279 Speaker 2: have to pledge allegiance to the woke mob and the 135 00:06:41,320 --> 00:06:44,600 Speaker 2: fact that a state saying, hey, what are the first 136 00:06:44,600 --> 00:06:46,000 Speaker 2: three words in the US Constitution? 137 00:06:47,600 --> 00:06:49,360 Speaker 1: That's all this this. 138 00:06:49,240 --> 00:06:51,719 Speaker 2: Is terrible, Like all right, give me a break, especially 139 00:06:51,720 --> 00:06:57,360 Speaker 2: with the hypocrisy there, speaking of ridiculousness coming out of 140 00:06:57,440 --> 00:06:58,520 Speaker 2: woke places. 141 00:07:00,080 --> 00:07:00,880 Speaker 4: Washington, d C. 142 00:07:01,240 --> 00:07:04,320 Speaker 2: Police crime statistics. We've talked a lot about this on 143 00:07:04,320 --> 00:07:08,200 Speaker 2: this particular show. Yet another thing is coming to light 144 00:07:08,279 --> 00:07:12,520 Speaker 2: another lawsuit that alleges police departments, the police Department in Washington, 145 00:07:12,600 --> 00:07:16,280 Speaker 2: d C has changed and manipulated some of the stats, 146 00:07:16,280 --> 00:07:22,280 Speaker 2: and this one specifically saying deaths were counted as accidents 147 00:07:22,400 --> 00:07:25,800 Speaker 2: instead of what they actually were. For example, Anthony. In 148 00:07:25,840 --> 00:07:28,960 Speaker 2: November twenty nineteen, a DC man was killed after being 149 00:07:29,080 --> 00:07:32,880 Speaker 2: struck in the head with a brick. Despite the autopsy 150 00:07:32,960 --> 00:07:36,120 Speaker 2: reporting the identifying the death as a homicide, the crime 151 00:07:36,120 --> 00:07:38,720 Speaker 2: scene video of the suspect and cell phone tracking data 152 00:07:39,160 --> 00:07:42,760 Speaker 2: MPD falsely and fraudulently, according to the lawsuit, reported the 153 00:07:42,800 --> 00:07:45,320 Speaker 2: victim's death an accident. Don't don't you just hate that 154 00:07:45,720 --> 00:07:48,280 Speaker 2: when you're walking down the street, Nah, you accidentally getting 155 00:07:48,360 --> 00:07:50,200 Speaker 2: hit in the head and killed with a brick. I 156 00:07:50,240 --> 00:07:56,360 Speaker 2: you know what, excuse the pun, what next brick has 157 00:07:56,400 --> 00:07:59,000 Speaker 2: to fall? To make sure to make so that the 158 00:07:59,000 --> 00:08:02,280 Speaker 2: people understand Washington, DC crime statistics that lives have been 159 00:08:02,280 --> 00:08:05,960 Speaker 2: pushing in in a opposition to Trump are just bunk 160 00:08:06,040 --> 00:08:06,679 Speaker 2: and awful. 161 00:08:07,720 --> 00:08:10,360 Speaker 5: Well, I mean, it's no surprise that people are doing that, 162 00:08:10,400 --> 00:08:13,840 Speaker 5: but I'm not sure how people aren't even questioning the 163 00:08:13,920 --> 00:08:15,600 Speaker 5: you know, the actions of all of this in the 164 00:08:15,600 --> 00:08:17,880 Speaker 5: first place, because who the heck builds with brick in 165 00:08:17,960 --> 00:08:21,280 Speaker 5: twenty twenty five, and you know, these are the things 166 00:08:21,280 --> 00:08:24,760 Speaker 5: that people put on pylons all throughout cities when you know, 167 00:08:24,800 --> 00:08:27,480 Speaker 5: when raids and all of these riots are being organized, 168 00:08:27,600 --> 00:08:29,440 Speaker 5: is the only time you ever see brick and mortar 169 00:08:29,520 --> 00:08:31,640 Speaker 5: being laid out that kind of in these kind of 170 00:08:31,680 --> 00:08:34,959 Speaker 5: places now. But this is the only truth behind all 171 00:08:35,000 --> 00:08:38,920 Speaker 5: of this stuff. This doesn't enable citizens to be law abiding. 172 00:08:39,120 --> 00:08:42,520 Speaker 5: This makes more areas for criminals to now get away 173 00:08:42,559 --> 00:08:45,120 Speaker 5: with things because now things that used to carry heavy 174 00:08:45,160 --> 00:08:48,440 Speaker 5: sentences you know, now are just slap down to misdemeanors 175 00:08:48,559 --> 00:08:51,960 Speaker 5: or first time offenders. And so everything from you know, 176 00:08:52,120 --> 00:08:55,400 Speaker 5: gun control to all of these things where you mislabel crime, 177 00:08:55,679 --> 00:08:57,480 Speaker 5: all it does is find ways. 178 00:08:57,200 --> 00:08:59,319 Speaker 4: For the people who never wanted to follow rules in 179 00:08:59,360 --> 00:09:00,360 Speaker 4: the beginning to. 180 00:09:00,360 --> 00:09:03,439 Speaker 5: Now go around the rules and now find new areas 181 00:09:03,440 --> 00:09:05,880 Speaker 5: to now exploit the law of knowing that they're gonna 182 00:09:05,920 --> 00:09:07,880 Speaker 5: have people that will just label it this way. And 183 00:09:07,920 --> 00:09:10,400 Speaker 5: everyone's saying, well, we're cracking down on crime, and I'm 184 00:09:10,440 --> 00:09:12,720 Speaker 5: just like, well, say that no pun intended to all 185 00:09:12,720 --> 00:09:14,200 Speaker 5: the bricks that are falling on people. 186 00:09:14,480 --> 00:09:16,000 Speaker 4: You know, what's it going to be next? You know, 187 00:09:16,280 --> 00:09:17,200 Speaker 4: is it going to be people? 188 00:09:17,200 --> 00:09:19,720 Speaker 5: It's just like, yes, if you accidentally mow people over 189 00:09:19,760 --> 00:09:21,960 Speaker 5: in a vehicle, as long as it's not five or more, 190 00:09:22,160 --> 00:09:24,480 Speaker 5: then we won't count it as murder. It'll just be 191 00:09:24,600 --> 00:09:27,040 Speaker 5: a happy accident. There's always going to be people that 192 00:09:27,160 --> 00:09:29,520 Speaker 5: look to get away with things. And so the issue 193 00:09:29,559 --> 00:09:31,360 Speaker 5: and the arguments of like, you know, the type of 194 00:09:31,400 --> 00:09:33,200 Speaker 5: weapon that they use, the kind of way that it 195 00:09:33,240 --> 00:09:37,319 Speaker 5: happens is obsolete now because point proven people are dying 196 00:09:37,760 --> 00:09:40,080 Speaker 5: and you can say it's accidental, you can say that 197 00:09:40,120 --> 00:09:42,160 Speaker 5: it's on purpose, you can call it whatever you want. 198 00:09:42,200 --> 00:09:43,600 Speaker 5: At the end of the day, a life is gone. 199 00:09:43,920 --> 00:09:46,520 Speaker 5: And so there's no way to reverse that except cracking 200 00:09:46,559 --> 00:09:48,160 Speaker 5: down on it. And so I'm all about all of 201 00:09:48,200 --> 00:09:50,320 Speaker 5: these whistleblowers and all of these leaks that are coming 202 00:09:50,360 --> 00:09:53,720 Speaker 5: out because it's a cliche that's being true and it's 203 00:09:53,720 --> 00:09:54,880 Speaker 5: being set all over the place. 204 00:09:54,920 --> 00:09:57,120 Speaker 4: But the American people deserve to know. 205 00:09:58,000 --> 00:09:59,280 Speaker 1: Yeah, No, I couldn't agree more. 206 00:09:59,320 --> 00:10:02,640 Speaker 2: It's a the idea that people saying DC is totally 207 00:10:02,720 --> 00:10:06,120 Speaker 2: safe has been a farce from the beginning, Justine. There's 208 00:10:06,120 --> 00:10:08,559 Speaker 2: obviously a bunch of other different examples. This was from 209 00:10:08,559 --> 00:10:11,199 Speaker 2: the Washington Free Beacon. But one thing in the article 210 00:10:11,200 --> 00:10:14,120 Speaker 2: that that was really interesting is this lawsuit was filed 211 00:10:14,160 --> 00:10:17,280 Speaker 2: in twenty twenty one, and it's set for an arbitration 212 00:10:17,480 --> 00:10:21,080 Speaker 2: date in twenty twenty six. In other words, five years 213 00:10:21,120 --> 00:10:23,920 Speaker 2: after this thing was filed, they're going to finally start taking. 214 00:10:23,679 --> 00:10:24,560 Speaker 1: A look at it. 215 00:10:25,000 --> 00:10:27,600 Speaker 2: That kind of leads me to believe that President Trump 216 00:10:27,640 --> 00:10:31,440 Speaker 2: taking the reins of DC was justified considering how long 217 00:10:31,559 --> 00:10:34,920 Speaker 2: this stuff takes to play out and actually get the 218 00:10:34,960 --> 00:10:35,800 Speaker 2: truth exposed. 219 00:10:35,800 --> 00:10:38,840 Speaker 6: What do you think, right Meanwhile, if it weren't for 220 00:10:38,880 --> 00:10:42,800 Speaker 6: President Trump, all those bums blood theirst animals who are 221 00:10:43,000 --> 00:10:48,640 Speaker 6: just accidentally stabbed youing the face are back on the 222 00:10:48,720 --> 00:10:53,000 Speaker 6: streets accidentally stabbing more people. And it goes even far 223 00:10:53,080 --> 00:10:57,480 Speaker 6: beyond that the legacy media MSNBC and CNN. This is 224 00:10:57,520 --> 00:10:59,959 Speaker 6: a study that my colleagues at the Media Research Centers 225 00:11:00,280 --> 00:11:05,319 Speaker 6: USBUSTERS conducted within the first seventy within the first twenty 226 00:11:05,400 --> 00:11:10,120 Speaker 6: four hours of last week's media coverage, they both cited 227 00:11:10,400 --> 00:11:13,040 Speaker 6: false statistics seventy three times. 228 00:11:13,080 --> 00:11:15,480 Speaker 7: And the false statistics was this. 229 00:11:15,679 --> 00:11:20,640 Speaker 6: Police chief or police commissioner who pretended that crime was 230 00:11:20,760 --> 00:11:24,240 Speaker 6: actually low in DC and that's the murder and the 231 00:11:24,320 --> 00:11:27,840 Speaker 6: violence rates they were low. It was just you know, 232 00:11:28,000 --> 00:11:31,640 Speaker 6: random little misdemeanors, and that guy is actually placed on 233 00:11:31,720 --> 00:11:34,079 Speaker 6: leave right now. But it doesn't matter how many times 234 00:11:34,320 --> 00:11:37,439 Speaker 6: you explain to these legacy media outlets, hey, you're citing 235 00:11:37,480 --> 00:11:40,280 Speaker 6: misinformation where they love to use all the time, They'll 236 00:11:40,320 --> 00:11:42,520 Speaker 6: still peddle the same fake news. 237 00:11:42,720 --> 00:11:45,080 Speaker 7: I lived in New Jersey. I'm from New Jersey. 238 00:11:45,080 --> 00:11:47,520 Speaker 6: I commuted to New York every day, had to stand 239 00:11:47,559 --> 00:11:52,040 Speaker 6: on the subway sideways vertically all different directions in case 240 00:11:52,040 --> 00:11:55,760 Speaker 6: above would accidentally shoved me on the tracks, and I 241 00:11:55,880 --> 00:11:58,679 Speaker 6: moved back to BAC. I lived in DC a while previously. 242 00:11:58,720 --> 00:12:01,880 Speaker 6: It was very bad trying to get outside your apartment, 243 00:12:02,000 --> 00:12:05,640 Speaker 6: even when you're you're the capital area where the Democrats 244 00:12:05,720 --> 00:12:09,400 Speaker 6: after January sixth, they shut everything down. You couldn't even 245 00:12:09,480 --> 00:12:12,920 Speaker 6: go into a store without being vaccinated. Oh but you 246 00:12:13,040 --> 00:12:15,800 Speaker 6: get muggs on the street and nothing would happen. 247 00:12:15,800 --> 00:12:18,200 Speaker 2: Justin The only quibble I have to pick with you 248 00:12:18,320 --> 00:12:22,480 Speaker 2: is you did say MSNBC. It's actually pms NOW. Sorry 249 00:12:22,720 --> 00:12:25,360 Speaker 2: ms NOW, But the logo makes it look like that. 250 00:12:25,400 --> 00:12:27,120 Speaker 2: But I think that's probably what it should be called. 251 00:12:27,160 --> 00:12:31,000 Speaker 2: Speaking of lib outlets that are just going down the drain, 252 00:12:31,600 --> 00:12:32,520 Speaker 2: this is really interesting. 253 00:12:32,520 --> 00:12:33,520 Speaker 1: Already, get your thoughts here. 254 00:12:33,760 --> 00:12:37,679 Speaker 2: There are rich liberals that are coming to the rescue. 255 00:12:38,280 --> 00:12:41,520 Speaker 2: According to the Washington Post, a bunch of money from 256 00:12:41,559 --> 00:12:45,120 Speaker 2: a bunch of rich libs is flooding into save PBS 257 00:12:45,120 --> 00:12:48,839 Speaker 2: and NPR and other public broadcasting systems. I don't know 258 00:12:48,880 --> 00:12:51,160 Speaker 2: if it's gonna be enough money, because they were getting 259 00:12:51,200 --> 00:12:54,200 Speaker 2: a billion dollars from the federal government that's now no 260 00:12:54,240 --> 00:12:57,640 Speaker 2: longer there thanks to President Trump. But Anthony, do you 261 00:12:57,800 --> 00:13:02,960 Speaker 2: think that this is going to revive the lib media 262 00:13:02,960 --> 00:13:06,240 Speaker 2: outlets that are I think gonna go away without that 263 00:13:06,360 --> 00:13:07,120 Speaker 2: federal funding? 264 00:13:08,160 --> 00:13:08,720 Speaker 1: Of course not. 265 00:13:09,160 --> 00:13:12,400 Speaker 5: You know, to put it in a very artistic photo 266 00:13:12,480 --> 00:13:15,040 Speaker 5: form for you, what they're doing is trying to slap 267 00:13:15,080 --> 00:13:19,040 Speaker 5: a band on a stage four dying cancer patient like 268 00:13:19,440 --> 00:13:23,000 Speaker 5: the doom is inevitable. It's unavoidable at this point, and 269 00:13:23,040 --> 00:13:26,199 Speaker 5: it's all by their doing because people who have tried 270 00:13:26,240 --> 00:13:29,280 Speaker 5: to go by what is culturally popular and for all 271 00:13:29,320 --> 00:13:32,880 Speaker 5: of these past eight years, have lied to the American people, 272 00:13:33,080 --> 00:13:35,679 Speaker 5: have twisted facts, have been caught red handed in a 273 00:13:35,679 --> 00:13:37,600 Speaker 5: lot of things. That's why you see all of these 274 00:13:37,640 --> 00:13:41,040 Speaker 5: talk show hosts from MSNBC, from CBS, from ABC, from 275 00:13:41,040 --> 00:13:43,400 Speaker 5: all of these other places that have been fired, shows 276 00:13:43,400 --> 00:13:44,200 Speaker 5: have been canceled. 277 00:13:44,400 --> 00:13:46,720 Speaker 4: CNN is no longer in existence anymore. 278 00:13:46,880 --> 00:13:48,719 Speaker 5: I was like, people just watch it when they need 279 00:13:48,760 --> 00:13:50,720 Speaker 5: something to make fun of in the laugh at You know, 280 00:13:51,160 --> 00:13:52,719 Speaker 5: journalism and television. 281 00:13:52,760 --> 00:13:54,680 Speaker 4: The thing that you're doing now jobob used to be 282 00:13:54,720 --> 00:13:55,199 Speaker 4: for one thing. 283 00:13:55,280 --> 00:13:57,280 Speaker 5: It used to be the gather the facts and to 284 00:13:57,320 --> 00:13:59,640 Speaker 5: put the entire story out there so that people who 285 00:13:59,640 --> 00:14:01,240 Speaker 5: are listen and then can make up their minds to 286 00:14:01,240 --> 00:14:03,040 Speaker 5: find out what it is that they want to believe. 287 00:14:03,280 --> 00:14:05,920 Speaker 5: But that's changed now because now everyone's in the profit 288 00:14:06,000 --> 00:14:08,640 Speaker 5: and the business of gaining something from it. Nobody's buying 289 00:14:08,679 --> 00:14:12,079 Speaker 5: what they're selling anymore, nobody's listening anymore. And nobody cares 290 00:14:12,080 --> 00:14:13,960 Speaker 5: to because at the end of the day, it's just 291 00:14:14,000 --> 00:14:16,160 Speaker 5: like you're supposed to let people give that here, and 292 00:14:16,200 --> 00:14:19,640 Speaker 5: everyone keeps saying it's a democracy, and in democracy, that's 293 00:14:19,680 --> 00:14:21,680 Speaker 5: when the elites tell the littles what's going to happen. 294 00:14:21,840 --> 00:14:23,760 Speaker 4: Here in a constitutional. 295 00:14:23,040 --> 00:14:26,280 Speaker 5: Republic, it's the littles that tell the elites what's going on. 296 00:14:26,720 --> 00:14:29,160 Speaker 5: And so for years they've tried to dictate that and 297 00:14:29,280 --> 00:14:33,280 Speaker 5: change that narrative through different verbiage, through different tactics, through 298 00:14:33,320 --> 00:14:35,120 Speaker 5: all these things, and now they're on the edge of 299 00:14:35,120 --> 00:14:37,920 Speaker 5: their heels because they've got no viewers. All of these 300 00:14:37,960 --> 00:14:40,120 Speaker 5: people that used to be at the mount Rushmore of 301 00:14:40,160 --> 00:14:42,160 Speaker 5: all of the late show times, the numbers and the 302 00:14:42,280 --> 00:14:45,000 Speaker 5: ratings that used to like set record numbers are now 303 00:14:45,160 --> 00:14:47,800 Speaker 5: has beens of yesteryear. And now they're on their way 304 00:14:47,800 --> 00:14:50,360 Speaker 5: out because everyone now with the simple use of their 305 00:14:50,360 --> 00:14:52,760 Speaker 5: computer that they carry every single day, their cell phones, 306 00:14:53,160 --> 00:14:55,000 Speaker 5: all of these things where they get the real footage 307 00:14:55,040 --> 00:14:57,120 Speaker 5: and they just put it on their own platform. Everyone's 308 00:14:57,160 --> 00:14:59,480 Speaker 5: now grafting to all of those places to go get 309 00:14:59,480 --> 00:15:03,280 Speaker 5: the truth. So mainstream media in this way is dying, 310 00:15:03,520 --> 00:15:05,240 Speaker 5: and it's one of those funerals that I can't wait 311 00:15:05,240 --> 00:15:06,360 Speaker 5: to dress up for to attend. 312 00:15:06,920 --> 00:15:09,360 Speaker 2: Yeah, I don't know if you're gonna be invited, considering 313 00:15:09,400 --> 00:15:11,800 Speaker 2: the fact that I think we're together and hoping that 314 00:15:11,880 --> 00:15:16,200 Speaker 2: they die quicker. But Justine, I actually, okay, this may 315 00:15:16,240 --> 00:15:19,720 Speaker 2: be a hot take. I appreciate the fact that libs 316 00:15:19,720 --> 00:15:22,520 Speaker 2: are giving money to NPR and PBS to try and 317 00:15:22,600 --> 00:15:24,880 Speaker 2: keep them afloat, because to me, that says, all right, well, 318 00:15:24,880 --> 00:15:26,960 Speaker 2: now there's less money to go in the coffers of 319 00:15:27,000 --> 00:15:29,520 Speaker 2: all of your campaign stuff, and hopefully you lose more 320 00:15:29,560 --> 00:15:33,120 Speaker 2: elections going forward. Same kind of question, give it a 321 00:15:33,160 --> 00:15:34,840 Speaker 2: little bit shorter, but do you what do you think 322 00:15:34,920 --> 00:15:38,000 Speaker 2: is going to happen to NBC or sorry, NPR and 323 00:15:38,120 --> 00:15:39,640 Speaker 2: PBS going forward. 324 00:15:39,640 --> 00:15:43,120 Speaker 6: Here, I don't care as long as I'm not paying 325 00:15:43,160 --> 00:15:43,440 Speaker 6: for it. 326 00:15:43,480 --> 00:15:47,200 Speaker 7: We've been pay yeah, right, hundreds of thousands. 327 00:15:46,800 --> 00:15:49,360 Speaker 6: Of dollars each year, So NPR CEO could tell us 328 00:15:49,400 --> 00:15:52,560 Speaker 6: that truth is just a distraction. The Media Research Center 329 00:15:52,640 --> 00:15:57,760 Speaker 6: we actually collected over decades of legacy media buys perpetuated 330 00:15:57,800 --> 00:15:58,320 Speaker 6: by these. 331 00:15:58,160 --> 00:16:00,480 Speaker 7: Two outlets, and we made a tower of them. 332 00:16:00,680 --> 00:16:04,600 Speaker 6: I dragged this tower into both headquarters because both outlets 333 00:16:04,640 --> 00:16:07,200 Speaker 6: suggested in a testimony that they would like to see 334 00:16:07,200 --> 00:16:10,680 Speaker 6: evidence of their bias. So when I went to both buildings, 335 00:16:10,840 --> 00:16:12,040 Speaker 6: they called security on me. 336 00:16:12,240 --> 00:16:12,880 Speaker 7: Immediately. 337 00:16:14,320 --> 00:16:17,240 Speaker 6: I kicked this out, But they still can't decide whether 338 00:16:17,280 --> 00:16:19,080 Speaker 6: they're going to tell us they still. 339 00:16:18,800 --> 00:16:22,040 Speaker 7: Need our money or that well, only one percent. 340 00:16:21,720 --> 00:16:26,080 Speaker 6: Of our taxpayer funding apparently goes towards them, So okay, 341 00:16:26,120 --> 00:16:29,160 Speaker 6: So then why why are you so angry that we're defunding? 342 00:16:29,600 --> 00:16:30,560 Speaker 7: Like take aside? 343 00:16:31,000 --> 00:16:33,080 Speaker 2: Yeah, should be should be fine. That was always a 344 00:16:33,120 --> 00:16:35,640 Speaker 2: lie to begin with. They obfuscated the truth as they 345 00:16:35,680 --> 00:16:38,240 Speaker 2: always do. But yeah, it's good to see them going away. 346 00:16:38,560 --> 00:16:40,920 Speaker 2: Anthony and Justine will be back after the break to 347 00:16:41,120 --> 00:16:45,040 Speaker 2: discuss whether or not you should endorse people from the pulpit, 348 00:16:45,080 --> 00:16:48,920 Speaker 2: and this particular instance is quite interesting and the paint 349 00:16:49,000 --> 00:16:51,240 Speaker 2: job that the border wall is getting. Also, you can 350 00:16:51,240 --> 00:16:54,120 Speaker 2: email the show anytime you want tpt at TPUSA dot com. 351 00:16:54,600 --> 00:16:58,960 Speaker 1: We'll be right back after the break. Don't go away. 352 00:17:00,760 --> 00:17:03,760 Speaker 8: Got to admire what you've been able to do, not 353 00:17:03,800 --> 00:17:07,760 Speaker 8: to weaponize, but to organize on these college campuses. 354 00:17:07,480 --> 00:17:10,959 Speaker 3: At Turning Point USA. We've spent thirteen years building the machine, 355 00:17:11,000 --> 00:17:13,840 Speaker 3: and last year we sought payoff our grassroots army is 356 00:17:13,840 --> 00:17:14,800 Speaker 3: making a real difference. 357 00:17:15,000 --> 00:17:16,360 Speaker 1: Help us keep the momentum going. 358 00:17:16,560 --> 00:17:21,160 Speaker 3: Donate today and keep TPUSA strong on campuses across America. 359 00:17:21,280 --> 00:17:23,440 Speaker 9: And for a gift of any amount, you'll receive your 360 00:17:23,440 --> 00:17:25,760 Speaker 9: big Gov sucks cooler claim yours today. 361 00:17:32,640 --> 00:17:34,840 Speaker 2: Welcome back to Turning Point Tonight. We're together. We are 362 00:17:34,920 --> 00:17:37,520 Speaker 2: charting the course of America's cultural comeback. As always, you 363 00:17:37,520 --> 00:17:40,600 Speaker 2: can email the show anytime you want. TPT at TPUSA 364 00:17:40,720 --> 00:17:44,080 Speaker 2: dot com, Turning Point Tonight, TPT at tpusa dot com, 365 00:17:44,080 --> 00:17:47,320 Speaker 2: Monica page, Turning Points. White House correspondent has abandoned the 366 00:17:47,359 --> 00:17:50,280 Speaker 2: show and the American people in their time of greatest need, 367 00:17:50,720 --> 00:17:52,359 Speaker 2: and we'll not be joining us today. If you just 368 00:17:52,400 --> 00:17:54,200 Speaker 2: had the day off, she's totally fine. We'll see her 369 00:17:54,480 --> 00:17:56,359 Speaker 2: when she comes back. So we're gonna bring our panel 370 00:17:56,440 --> 00:18:01,040 Speaker 2: back prematurely. But Anthony Watson, Justine Murray, Guys, this is 371 00:18:01,080 --> 00:18:04,960 Speaker 2: actually really I think an interesting development here, and I'm 372 00:18:05,000 --> 00:18:09,160 Speaker 2: curious about your thoughts as to why this particular thing happened. 373 00:18:09,400 --> 00:18:13,320 Speaker 2: Last month, the IRS kind of removed a rule that 374 00:18:13,480 --> 00:18:17,880 Speaker 2: said that pastors or preachers or whatever your church calls 375 00:18:17,920 --> 00:18:21,520 Speaker 2: the guy who talks can endorse political candidates from the 376 00:18:21,520 --> 00:18:23,520 Speaker 2: pulpit for the last seventy years that has been not 377 00:18:23,800 --> 00:18:26,560 Speaker 2: okay to do, at least according to the IRS, people 378 00:18:26,640 --> 00:18:30,199 Speaker 2: or churches would risk losing their tax exempt status. The 379 00:18:30,240 --> 00:18:35,000 Speaker 2: New York Times then highlighted this guy, Reverend Jonathan Barker 380 00:18:35,320 --> 00:18:39,640 Speaker 2: in Kenosha, Wisconsin, when he planned a politically charged sermon 381 00:18:40,040 --> 00:18:44,480 Speaker 2: for his parishioners. He found out the day before that 382 00:18:44,560 --> 00:18:47,760 Speaker 2: he was going to deliver this sermon that he was fired. 383 00:18:47,800 --> 00:18:51,200 Speaker 2: Now The New York Times Anthony makes the case, well, look, 384 00:18:51,400 --> 00:18:54,520 Speaker 2: some churches have hard and fast rules about this, and 385 00:18:54,840 --> 00:18:57,959 Speaker 2: you can't get around those rules. They don't want any politics. 386 00:18:58,520 --> 00:19:01,080 Speaker 2: I happened to think that man was what he was 387 00:19:01,280 --> 00:19:04,360 Speaker 2: going to say, which caused the problem. He was going 388 00:19:04,400 --> 00:19:08,000 Speaker 2: to get up there and do an entire sermon urging 389 00:19:08,160 --> 00:19:13,320 Speaker 2: Representative Alexandria of Casio Cortes AOC to run for president 390 00:19:13,400 --> 00:19:16,600 Speaker 2: in twenty twenty eight. Anthony, do you think that it 391 00:19:16,680 --> 00:19:19,879 Speaker 2: is the Lutheran Church's hard and fast rules that can't 392 00:19:19,920 --> 00:19:22,120 Speaker 2: be got around, or do you think is the fact 393 00:19:22,119 --> 00:19:24,119 Speaker 2: that he was going to endorse AOC for running for 394 00:19:24,160 --> 00:19:26,080 Speaker 2: president why this guy lost his job. 395 00:19:27,840 --> 00:19:31,640 Speaker 5: Well, this is tricky for me because when it comes 396 00:19:31,640 --> 00:19:35,000 Speaker 5: to AOC. That's a fireable offense if anyone supports that. 397 00:19:37,240 --> 00:19:39,760 Speaker 5: But in the reality of the matter, this is where 398 00:19:39,800 --> 00:19:42,880 Speaker 5: I stand on it. For years, we have said, as 399 00:19:42,920 --> 00:19:46,240 Speaker 5: a Christian myself and as somebody who supports religious freedom, 400 00:19:46,480 --> 00:19:49,480 Speaker 5: that believers and people of faith need to get more 401 00:19:49,520 --> 00:19:53,280 Speaker 5: involved because that is the moral compass, that is the 402 00:19:53,400 --> 00:19:56,119 Speaker 5: values that our country was founded on. Those are the 403 00:19:56,160 --> 00:19:59,600 Speaker 5: things that actually prove and have proven to have long lasting, 404 00:19:59,640 --> 00:20:03,960 Speaker 5: long devity in societies, in communities, in families, and in 405 00:20:04,080 --> 00:20:07,320 Speaker 5: personal growth for the person and the individual that practices 406 00:20:07,359 --> 00:20:11,320 Speaker 5: these things devoutly. Now where I disagree with that is like, 407 00:20:11,400 --> 00:20:13,960 Speaker 5: if people are pushing narratives that are going to harm people, 408 00:20:14,000 --> 00:20:16,320 Speaker 5: then by all means take them up back and just 409 00:20:16,480 --> 00:20:19,400 Speaker 5: you know, put them down, you know, as one might say. 410 00:20:19,720 --> 00:20:21,920 Speaker 4: But in other cases this also. 411 00:20:21,600 --> 00:20:23,960 Speaker 2: Totally metaphorically speaking, I want to make. 412 00:20:25,600 --> 00:20:27,200 Speaker 1: We're talking to metaphor here. 413 00:20:27,200 --> 00:20:31,880 Speaker 5: Metaphorically metaphorically definitely not no, no real cast to action here, 414 00:20:32,119 --> 00:20:33,919 Speaker 5: but the real state of the the truth is this, 415 00:20:34,119 --> 00:20:37,040 Speaker 5: How much more effective would our elections be if pastors 416 00:20:37,040 --> 00:20:39,760 Speaker 5: were allowed to give people the truth about what politicians are. 417 00:20:39,680 --> 00:20:41,280 Speaker 4: Doing in their state, in their cities, and in. 418 00:20:41,240 --> 00:20:44,080 Speaker 5: Their counties because for years, you know, when it was 419 00:20:44,160 --> 00:20:46,960 Speaker 5: everyone that wanted to protest the fauciauci, when it was 420 00:20:47,000 --> 00:20:49,359 Speaker 5: everybody that wanted to protest all of these other things, 421 00:20:49,520 --> 00:20:52,000 Speaker 5: you know, people came after churches and they scared people 422 00:20:52,000 --> 00:20:54,800 Speaker 5: into silence. Now that this is taken away, people are 423 00:20:54,800 --> 00:20:57,920 Speaker 5: given the options to have both sides be up publicly 424 00:20:57,960 --> 00:21:01,439 Speaker 5: spoken about, and now become the thing of what truth 425 00:21:01,520 --> 00:21:04,639 Speaker 5: is going to prevail and not your version, my version, 426 00:21:04,800 --> 00:21:07,680 Speaker 5: but the version, especially when it comes to faith, there's 427 00:21:07,680 --> 00:21:10,399 Speaker 5: only one truth. And if you're someone speaking from the pulpit, 428 00:21:10,800 --> 00:21:13,160 Speaker 5: you have to understand and know this that God said 429 00:21:13,200 --> 00:21:16,280 Speaker 5: in the Bible that he holds people of leadership more 430 00:21:16,320 --> 00:21:19,359 Speaker 5: accountable ten times more than the people who are in 431 00:21:19,400 --> 00:21:21,320 Speaker 5: the audience listening to all of that. 432 00:21:21,880 --> 00:21:23,760 Speaker 4: And so that's the bigger thing that people need to 433 00:21:23,800 --> 00:21:24,560 Speaker 4: know and understand. 434 00:21:24,600 --> 00:21:26,879 Speaker 5: But as far as AOC for president, I was just like, 435 00:21:27,280 --> 00:21:28,879 Speaker 5: that's just one of those things that I hope will 436 00:21:28,880 --> 00:21:33,960 Speaker 5: always just remain a fantasy. 437 00:21:32,720 --> 00:21:36,200 Speaker 2: Justin the I think the biggest thing here is right, 438 00:21:36,240 --> 00:21:38,240 Speaker 2: they're trying to make the case of like, look this 439 00:21:38,240 --> 00:21:40,439 Speaker 2: this still is kind of a big no no. But 440 00:21:40,480 --> 00:21:43,119 Speaker 2: again I kind of think that well, Yeah, it's because 441 00:21:43,200 --> 00:21:47,320 Speaker 2: what you said not necessarily that you said something political, 442 00:21:47,400 --> 00:21:51,560 Speaker 2: right like in you know, various churches, synagogues, other places 443 00:21:51,560 --> 00:21:53,880 Speaker 2: of worship around the country. You know, if you say 444 00:21:53,880 --> 00:21:56,480 Speaker 2: something crazy, you're still you know, you have to face 445 00:21:56,480 --> 00:21:59,439 Speaker 2: the consequences of saying something crazy, like having AOC road 446 00:21:59,520 --> 00:21:59,919 Speaker 2: for president. 447 00:22:00,240 --> 00:22:01,200 Speaker 1: What are your thoughts? 448 00:22:01,680 --> 00:22:04,600 Speaker 6: Well, notice the hypocrisy coming from the New York Times. 449 00:22:04,800 --> 00:22:07,520 Speaker 7: Every time a Christian or pro life group is shut. 450 00:22:07,320 --> 00:22:13,600 Speaker 6: Down by the state for refusing to support murdering babies. Suddenly, yeah, 451 00:22:13,600 --> 00:22:16,560 Speaker 6: suddenly they're angry that a preacher just can't go up 452 00:22:16,600 --> 00:22:20,960 Speaker 6: on the altar, go up and say that AOC should 453 00:22:21,080 --> 00:22:26,280 Speaker 6: should be president or should be elected again. This is 454 00:22:26,320 --> 00:22:29,920 Speaker 6: coming from someone who I grew up around religion where 455 00:22:29,960 --> 00:22:32,639 Speaker 6: my rabbi was so woke to the point where my 456 00:22:32,760 --> 00:22:35,480 Speaker 6: mom she was sitting on what we call a bema 457 00:22:35,600 --> 00:22:38,200 Speaker 6: and she wants to just get off and walk away. 458 00:22:38,240 --> 00:22:41,760 Speaker 6: We actually had to switch synagogues because she was so woked. 459 00:22:41,800 --> 00:22:42,640 Speaker 7: She made it political. 460 00:22:43,280 --> 00:22:47,920 Speaker 6: She used what should have been a religious experience and 461 00:22:48,040 --> 00:22:51,320 Speaker 6: a connection to God to bash this country and the 462 00:22:51,359 --> 00:22:54,600 Speaker 6: country that grants us all the religious liberties. 463 00:22:54,160 --> 00:22:55,119 Speaker 7: That we have now. 464 00:22:55,240 --> 00:22:57,840 Speaker 6: And it's very frustrating to see how the left can't 465 00:22:57,840 --> 00:23:02,240 Speaker 6: decide whether to complete get rid of religion, attack religion, 466 00:23:02,480 --> 00:23:06,040 Speaker 6: attack Jews and Christians, or whether to rewrite both of 467 00:23:06,080 --> 00:23:11,320 Speaker 6: our religions to justify their sin, to justify their transgressions. 468 00:23:11,359 --> 00:23:15,000 Speaker 6: It's like they either hate Jesus or they claim he 469 00:23:15,160 --> 00:23:21,919 Speaker 6: was a Venezuelan anchor baby, and we support illegal aliens 470 00:23:22,000 --> 00:23:24,520 Speaker 6: because Jesus apparently was one two. 471 00:23:25,160 --> 00:23:29,480 Speaker 2: Yeah, jeez, that's funny. Venezuela and ancre baby. You know 472 00:23:29,560 --> 00:23:32,800 Speaker 2: what's not going to have more anchor babies. The fact 473 00:23:32,800 --> 00:23:34,800 Speaker 2: that Christy Noman is saying, hey, we're gonna paint the 474 00:23:34,840 --> 00:23:38,040 Speaker 2: wall black, which if you're not familiar with this story, 475 00:23:38,040 --> 00:23:39,760 Speaker 2: I'm sure people have already who are watching this have 476 00:23:39,800 --> 00:23:43,200 Speaker 2: already heard about this. But the border wall is getting 477 00:23:43,200 --> 00:23:45,200 Speaker 2: a new paint job. I think there's a video clip 478 00:23:45,240 --> 00:23:48,640 Speaker 2: we got there of Christy Noman the team working on 479 00:23:48,720 --> 00:23:52,760 Speaker 2: that already. The goal is to make it hotter so 480 00:23:52,800 --> 00:23:55,960 Speaker 2: that people won't try and climb it because out it'll 481 00:23:56,040 --> 00:23:59,280 Speaker 2: be hot, to which of course the lives. Anthony said, well, 482 00:23:59,280 --> 00:24:01,960 Speaker 2: they'll just where gloves. Now, It's like, okay, so we 483 00:24:02,040 --> 00:24:05,919 Speaker 2: shouldn't try at all. I think this is a great idea, 484 00:24:06,040 --> 00:24:10,000 Speaker 2: just just from like a if it helps one percent, 485 00:24:10,160 --> 00:24:11,080 Speaker 2: fine do it. 486 00:24:11,200 --> 00:24:13,240 Speaker 1: Let's let's just keep this border secure. 487 00:24:13,359 --> 00:24:15,399 Speaker 2: And if it makes it a little bit more uncomfortable, 488 00:24:15,400 --> 00:24:16,920 Speaker 2: I'm all for what do you think. 489 00:24:17,560 --> 00:24:20,119 Speaker 5: Well, I'm all about anything to protect the country that 490 00:24:20,160 --> 00:24:22,280 Speaker 5: I care about the most. You know, you know, Charlie 491 00:24:22,320 --> 00:24:24,200 Speaker 5: Kirk has said it best. You know, walls aren't meant 492 00:24:24,200 --> 00:24:26,679 Speaker 5: to deter, They're meant to protect. You know, it's a 493 00:24:26,760 --> 00:24:29,600 Speaker 5: defense from the people who are outside to protect the 494 00:24:29,640 --> 00:24:33,159 Speaker 5: people who are inside. And so we see all around 495 00:24:33,200 --> 00:24:35,520 Speaker 5: the world you have countries that we have sent our 496 00:24:35,560 --> 00:24:38,480 Speaker 5: hardworking money to for their border security, while we leave 497 00:24:38,520 --> 00:24:41,360 Speaker 5: ours wide open. And so you have the people here 498 00:24:41,560 --> 00:24:43,840 Speaker 5: that have left it wide open for one only in 499 00:24:43,880 --> 00:24:46,760 Speaker 5: particular reason, and it's literally been for votes. You know, 500 00:24:46,800 --> 00:24:48,359 Speaker 5: they get a bunch of people in, they put them 501 00:24:48,400 --> 00:24:50,119 Speaker 5: in cities, they put them on Medicaid, and then in 502 00:24:50,160 --> 00:24:52,680 Speaker 5: the end in election time. Because I grew up on medicaid, 503 00:24:52,680 --> 00:24:54,159 Speaker 5: and one of the things that we did in the 504 00:24:54,200 --> 00:24:56,240 Speaker 5: ghettos that we grew up in was that when they 505 00:24:56,320 --> 00:24:58,360 Speaker 5: brought you into the Medicaid office, they would always say, 506 00:24:58,400 --> 00:25:00,439 Speaker 5: so are you registered to vote? Because we have this 507 00:25:00,560 --> 00:25:02,640 Speaker 5: very good policy that if you lean this way, we're 508 00:25:02,680 --> 00:25:04,240 Speaker 5: able to get you more of this. We're gad to 509 00:25:04,240 --> 00:25:07,080 Speaker 5: get you more government assistance, more of this. That's the incentive. 510 00:25:07,440 --> 00:25:09,760 Speaker 5: So they pile all these people in here, and then 511 00:25:09,760 --> 00:25:12,320 Speaker 5: when election time comes, if you want to keep what this, 512 00:25:12,480 --> 00:25:15,480 Speaker 5: we gave you what most people would call trash. This 513 00:25:15,600 --> 00:25:18,520 Speaker 5: gifferent people who literally come from nothing to get the 514 00:25:18,640 --> 00:25:20,880 Speaker 5: very minimum that a lot of people would spit on today. 515 00:25:21,040 --> 00:25:24,160 Speaker 5: This is what they require in exchange. And if you know, member, 516 00:25:24,160 --> 00:25:26,320 Speaker 5: when in Texas, when you know Governor Abbott put all 517 00:25:26,359 --> 00:25:28,639 Speaker 5: of those buoys in the water with the blades on them, 518 00:25:28,640 --> 00:25:30,879 Speaker 5: they were calling it. In Maine, when he put barbed 519 00:25:30,880 --> 00:25:32,919 Speaker 5: wire around all of the fences, when he had you know, 520 00:25:32,960 --> 00:25:36,399 Speaker 5: border patrol agents on horses literally chasing people across the border, 521 00:25:36,400 --> 00:25:38,560 Speaker 5: everyone called it in humane. I'm just like, listen, we 522 00:25:38,640 --> 00:25:41,159 Speaker 5: have read throughout history what borders have looked like, and 523 00:25:41,160 --> 00:25:43,320 Speaker 5: we have cheered people on in the history stories that 524 00:25:43,359 --> 00:25:46,960 Speaker 5: we have read from everyone defending their borders, defending their walls. 525 00:25:46,680 --> 00:25:47,919 Speaker 4: And their countries tirelessly. 526 00:25:47,960 --> 00:25:51,600 Speaker 5: But we've demonalized, we've criminalized, and we've ostracized all the 527 00:25:51,600 --> 00:25:53,320 Speaker 5: people that are doing that here for the people who 528 00:25:53,400 --> 00:25:56,480 Speaker 5: live in it. So if hey, painting the border black 529 00:25:56,560 --> 00:25:59,160 Speaker 5: to make it seventeen degrees hotter so that people will 530 00:25:59,160 --> 00:26:01,600 Speaker 5: I think twice before scaling it, I'm all for it. 531 00:26:02,480 --> 00:26:07,000 Speaker 2: Yeah right, that's any little amount will help me, Justine. 532 00:26:07,040 --> 00:26:10,240 Speaker 2: So this is not really like a new idea. Apparently 533 00:26:10,280 --> 00:26:14,160 Speaker 2: this was kicked around during President Trump's first administration saying, hey, 534 00:26:14,160 --> 00:26:16,960 Speaker 2: we're gonna consider painting in black over these particular eighty 535 00:26:17,040 --> 00:26:19,320 Speaker 2: miles because this is where people scale the walls. So 536 00:26:19,400 --> 00:26:21,680 Speaker 2: this is not really a new idea yet. Libs are 537 00:26:21,720 --> 00:26:26,840 Speaker 2: freaking out about it. You know your thoughts, of course. 538 00:26:26,640 --> 00:26:28,680 Speaker 7: As they always do. But there's one solution. 539 00:26:29,280 --> 00:26:32,680 Speaker 6: Don't jump a border and invade another person's country. 540 00:26:32,720 --> 00:26:35,680 Speaker 7: Don't invade nothing. That's all they have to do. 541 00:26:36,240 --> 00:26:40,040 Speaker 6: It's very different from other countries from a tyrannical regimes 542 00:26:40,119 --> 00:26:43,520 Speaker 6: and especially throughout history, where they spiked the border, they 543 00:26:43,560 --> 00:26:47,359 Speaker 6: put barbed wire up around the border and electrified it 544 00:26:47,400 --> 00:26:50,040 Speaker 6: to keep their residents inside. 545 00:26:50,119 --> 00:26:51,040 Speaker 7: They do that in. 546 00:26:51,040 --> 00:26:55,160 Speaker 6: North Korea, you know, places that the left would love 547 00:26:55,200 --> 00:26:57,879 Speaker 6: to turn this country into. But we actually want to 548 00:26:58,000 --> 00:27:01,639 Speaker 6: protect this country. We want to protect the people in 549 00:27:01,680 --> 00:27:05,200 Speaker 6: it as Anthony said, and it's so ridiculous that every 550 00:27:05,280 --> 00:27:08,679 Speaker 6: other country on this planet is somehow allowed to protect 551 00:27:08,720 --> 00:27:10,920 Speaker 6: their borders except for US. 552 00:27:11,400 --> 00:27:13,520 Speaker 2: Yeah, you know you said there that you know, just 553 00:27:13,600 --> 00:27:16,240 Speaker 2: don't commit crime and you won't be a criminal, or 554 00:27:16,280 --> 00:27:18,360 Speaker 2: you won't face the consequences of being a criminal. I'm 555 00:27:18,400 --> 00:27:20,440 Speaker 2: not sure if that tracks. I'm not sure if that's defensible. 556 00:27:20,520 --> 00:27:22,520 Speaker 2: But unfortunately we're out of time and we won't be 557 00:27:22,520 --> 00:27:26,360 Speaker 2: able to defend that thoroughly reasonable thought. Anthony Watson justin Murray, Guys, 558 00:27:26,400 --> 00:27:28,120 Speaker 2: thanks so much for joining us. Really appreciate you taking 559 00:27:28,119 --> 00:27:28,520 Speaker 2: the time. 560 00:27:29,040 --> 00:27:29,679 Speaker 4: Thank you so much. 561 00:27:29,800 --> 00:27:31,000 Speaker 1: Aboub thank you. 562 00:27:31,280 --> 00:27:32,760 Speaker 2: Coming up next year in Turning Points Tonight, I got 563 00:27:32,760 --> 00:27:36,320 Speaker 2: a fascinating clipped mouse close Culture Apothecary podcast that is 564 00:27:36,359 --> 00:27:38,440 Speaker 2: one of the number one held in all this podcasts 565 00:27:38,480 --> 00:27:40,560 Speaker 2: produced by Turning Point USA. Also, you can email the 566 00:27:40,600 --> 00:27:42,879 Speaker 2: show anytime you want tpt ATPUSA dot com. 567 00:27:42,960 --> 00:27:44,720 Speaker 1: We will be right back after the break. Don't go away. 568 00:27:49,440 --> 00:27:52,439 Speaker 8: Got to admire what you've been able to do, not 569 00:27:52,480 --> 00:27:55,879 Speaker 8: to weaponize, but to organize on these college campuses. 570 00:27:56,160 --> 00:27:59,240 Speaker 3: At Turning Point USA, we've spent thirteen years building the 571 00:27:59,280 --> 00:28:02,760 Speaker 3: machine chere. We sought payoff our grassroots army is making 572 00:28:02,760 --> 00:28:03,480 Speaker 3: a real difference. 573 00:28:03,680 --> 00:28:05,040 Speaker 1: Help us keep the momentum going. 574 00:28:05,240 --> 00:28:10,600 Speaker 3: Donate today and keep TPUSA strong on campuses across America. 575 00:28:09,960 --> 00:28:12,120 Speaker 9: And for a gift of any amount, you'll receive your 576 00:28:12,119 --> 00:28:14,440 Speaker 9: big Gov sucks cooler claim yours today. 577 00:28:20,800 --> 00:28:23,680 Speaker 10: What is the single fact about the childhood vaccine schedule 578 00:28:23,680 --> 00:28:26,320 Speaker 10: that if parents knew it, you believe, would shatter their 579 00:28:26,359 --> 00:28:27,800 Speaker 10: trust in the system instantly. 580 00:28:28,040 --> 00:28:30,600 Speaker 11: The fact that not a single one of these vaccines 581 00:28:30,640 --> 00:28:33,560 Speaker 11: ever went through a safety trial full stop. The only 582 00:28:33,640 --> 00:28:36,320 Speaker 11: way you determine safety in a pharmaceutical product is a 583 00:28:36,359 --> 00:28:40,160 Speaker 11: double blind, placebo based study where one group gets the product, 584 00:28:40,240 --> 00:28:42,320 Speaker 11: the other group gets a In this case, a saline 585 00:28:42,320 --> 00:28:44,760 Speaker 11: injection has no effect on the human body, and you 586 00:28:44,840 --> 00:28:48,440 Speaker 11: track their health comes, outcomes for you know, at least 587 00:28:48,640 --> 00:28:52,680 Speaker 11: in most drug cases two years, six years. They never 588 00:28:52,760 --> 00:28:55,720 Speaker 11: ever did that on a single childhood vaccine, so there's 589 00:28:55,840 --> 00:28:58,000 Speaker 11: no way to say that the product is safe. And 590 00:28:58,040 --> 00:29:01,840 Speaker 11: then there's never been a study comparing the seventy two 591 00:29:02,040 --> 00:29:03,760 Speaker 11: and now it might you know, when you start adding 592 00:29:03,760 --> 00:29:06,240 Speaker 11: COVID and the new vaccines coming, it could be as 593 00:29:06,320 --> 00:29:09,400 Speaker 11: high as ninety vaccines. By the time you're eighteen. There 594 00:29:09,440 --> 00:29:13,600 Speaker 11: has never been one single study ever done comparing kids 595 00:29:13,640 --> 00:29:17,400 Speaker 11: who get seventy two vaccines to those that get none. 596 00:29:18,120 --> 00:29:21,120 Speaker 11: And so if you have no concept of their safe 597 00:29:21,440 --> 00:29:24,280 Speaker 11: and you've never proven that kids that get vaccinations are 598 00:29:24,280 --> 00:29:27,400 Speaker 11: healthier than those that don't, then I just have a 599 00:29:27,600 --> 00:29:30,240 Speaker 11: standard principle where I don't inject myself and my kids 600 00:29:30,280 --> 00:29:32,240 Speaker 11: with products that have never been through a safety study, 601 00:29:32,760 --> 00:29:36,160 Speaker 11: and I want evidence that these things actually make us healthier. 602 00:29:36,200 --> 00:29:38,840 Speaker 10: Do you believe that the CDC knows that they're harming 603 00:29:38,920 --> 00:29:41,960 Speaker 10: children with the current vaccine schedule and yet continues to anyway? 604 00:29:42,160 --> 00:29:44,840 Speaker 11: No, I believe that for the most and CDC is 605 00:29:44,960 --> 00:29:48,600 Speaker 11: broad term, right, I mean, I think there are a 606 00:29:49,160 --> 00:29:53,760 Speaker 11: very small group of individuals that actually understand the carnage 607 00:29:53,760 --> 00:29:56,200 Speaker 11: that is taking place from the vaccine program. But for 608 00:29:56,240 --> 00:29:59,520 Speaker 11: the most part, I think that science is based is 609 00:29:59,560 --> 00:30:03,400 Speaker 11: compared mentalized. People are siloed into different parts of the 610 00:30:03,520 --> 00:30:07,239 Speaker 11: science or the investigation. They mean very well, but they 611 00:30:07,280 --> 00:30:09,640 Speaker 11: have no idea what they're a part of. For instance, 612 00:30:09,680 --> 00:30:12,560 Speaker 11: they don't know that no vaccine's ever been through a 613 00:30:12,600 --> 00:30:15,360 Speaker 11: safety study. They don't know that we've never tested the 614 00:30:15,520 --> 00:30:17,360 Speaker 11: entire vaccine schedule. 615 00:30:18,320 --> 00:30:21,600 Speaker 10: How do the people suggesting what the childhood schedule should be. 616 00:30:21,680 --> 00:30:24,560 Speaker 11: Not know that it's incredible, isn't it. I mean, this 617 00:30:24,680 --> 00:30:28,640 Speaker 11: story is the most amazing story anyone could ever investigate, 618 00:30:28,640 --> 00:30:31,080 Speaker 11: which is why as a journalist, that's why I left 619 00:30:31,080 --> 00:30:33,600 Speaker 11: the Doctor's television Show on CBS, where I won an 620 00:30:33,640 --> 00:30:36,480 Speaker 11: Emmy Award, I got into an investigation that ended up 621 00:30:36,520 --> 00:30:40,480 Speaker 11: being I think the most important and fascinating investigation in 622 00:30:40,480 --> 00:30:45,800 Speaker 11: our lifetime. This pharmacyical, especially this vaccine story, encompasses everything 623 00:30:45,920 --> 00:30:49,360 Speaker 11: there is to do with corruption, the corruption of your government, 624 00:30:49,400 --> 00:30:55,080 Speaker 11: the corruption of your media, the corporate capture of America 625 00:30:55,120 --> 00:30:57,880 Speaker 11: and really the world. This isn't just the US's problem. 626 00:30:58,120 --> 00:31:01,600 Speaker 11: The entire COVID pandemic was foisted upon us by the 627 00:31:01,600 --> 00:31:06,840 Speaker 11: pharmaceutical industry that also controls WHO World Economic Forum. This 628 00:31:06,920 --> 00:31:09,200 Speaker 11: thing is as big and as ugly and as dark 629 00:31:09,240 --> 00:31:12,440 Speaker 11: as it gets, and I believe it's all around the 630 00:31:12,480 --> 00:31:16,080 Speaker 11: greatest lie ever told, which is that vaccines are safe 631 00:31:16,440 --> 00:31:20,280 Speaker 11: and vaccines are effective. People have finally just started waking 632 00:31:20,280 --> 00:31:23,880 Speaker 11: their eyes because they saw the COVID vaccine. They recognize 633 00:31:23,920 --> 00:31:26,400 Speaker 11: we're lied to. They know now that the government got 634 00:31:26,480 --> 00:31:29,200 Speaker 11: up and said this is ninety five percent effective. If 635 00:31:29,240 --> 00:31:32,040 Speaker 11: you take this, it'll stop. It stops with you, virus 636 00:31:32,040 --> 00:31:35,120 Speaker 11: stops with you, You'll never transmit it to anyone else. Everyone 637 00:31:35,160 --> 00:31:37,440 Speaker 11: knows that was a lie, and it's a lie because 638 00:31:37,520 --> 00:31:40,680 Speaker 11: I reported one day before anyone received that vaccine outside 639 00:31:40,680 --> 00:31:43,560 Speaker 11: the trial saying this is a lie. It's not ninety 640 00:31:43,560 --> 00:31:46,680 Speaker 11: five percent effective. I pointed out the emergency use authorization 641 00:31:46,840 --> 00:31:49,560 Speaker 11: by the FDA where they stated, we have known idea 642 00:31:49,600 --> 00:31:52,280 Speaker 11: if this thing stops transmission. So I proved on day 643 00:31:52,360 --> 00:31:56,000 Speaker 11: one they're already lying to you. Now we see turbo cancers. 644 00:31:56,040 --> 00:31:58,719 Speaker 11: Now we know for a fact that the heart swells 645 00:31:58,720 --> 00:32:04,160 Speaker 11: in our children pericarditis, myocarditis. This is a known fact. 646 00:32:04,160 --> 00:32:05,760 Speaker 11: So now we know for the first time that this 647 00:32:05,880 --> 00:32:09,040 Speaker 11: vaccine is more dangerous than the virus was itself, is 648 00:32:09,080 --> 00:32:11,760 Speaker 11: going to cause more death than children. So that was 649 00:32:11,800 --> 00:32:14,360 Speaker 11: an eye opening moment for the world. It wasn't for 650 00:32:14,440 --> 00:32:17,680 Speaker 11: me because I know every other vaccine prior to that 651 00:32:17,960 --> 00:32:20,320 Speaker 11: was rusted under the market the exact same way and 652 00:32:20,360 --> 00:32:23,960 Speaker 11: as many of the same side effects, and also rarely 653 00:32:24,080 --> 00:32:27,560 Speaker 11: stops transmission. So people are waking up to something that 654 00:32:27,600 --> 00:32:29,960 Speaker 11: I've been on investigation for nearly ten years on. 655 00:32:30,120 --> 00:32:32,320 Speaker 10: How do you know which science to reject, in which 656 00:32:32,360 --> 00:32:33,280 Speaker 10: science to trust? 657 00:32:33,800 --> 00:32:37,840 Speaker 11: You have to know what science is. Okay. Science has 658 00:32:37,920 --> 00:32:40,720 Speaker 11: to be reproducible. You have to be able to produce. 659 00:32:42,320 --> 00:32:44,480 Speaker 11: If the drug works, then anybody should be able to 660 00:32:44,560 --> 00:32:48,320 Speaker 11: run the same study get the same result. Also, science 661 00:32:48,320 --> 00:32:52,520 Speaker 11: should invite the challenge. The scientific method requires that we 662 00:32:53,360 --> 00:32:57,360 Speaker 11: hit a hypothesis, if you will. With every problem we 663 00:32:57,440 --> 00:32:59,600 Speaker 11: have with we try to tear it down. Every scientist 664 00:32:59,600 --> 00:33:02,360 Speaker 11: should come from around the world and tear down someone's 665 00:33:02,440 --> 00:33:04,840 Speaker 11: hypothesis of what they think is happening. If you can't, 666 00:33:05,160 --> 00:33:07,479 Speaker 11: then it moves into being an official theory, and then 667 00:33:07,560 --> 00:33:10,120 Speaker 11: years later someone may come up with an argument you've 668 00:33:10,160 --> 00:33:12,560 Speaker 11: never seen before and they end up that theory changes. 669 00:33:12,640 --> 00:33:16,680 Speaker 11: That's how science works. Same thing with you know, scientific products. 670 00:33:16,880 --> 00:33:20,400 Speaker 11: If someone believes that a vaccine is dangerous, they should 671 00:33:20,400 --> 00:33:22,320 Speaker 11: be invited onto a podium in front of the world 672 00:33:22,400 --> 00:33:24,640 Speaker 11: say lay it on us, how do you think this 673 00:33:24,760 --> 00:33:27,440 Speaker 11: vaccine is dangerous? How do you think it causes harm? 674 00:33:27,720 --> 00:33:30,239 Speaker 11: And then they should bring all of that science and 675 00:33:30,480 --> 00:33:33,640 Speaker 11: challenge the product and say, just like a crash test, 676 00:33:33,640 --> 00:33:36,840 Speaker 11: that's why we run you know, trucks into walls and 677 00:33:36,880 --> 00:33:38,840 Speaker 11: things to make sure that it's as safe as the 678 00:33:38,920 --> 00:33:42,960 Speaker 11: manufacturer says. You don't want the manufacturer doing their own 679 00:33:43,000 --> 00:33:46,280 Speaker 11: safety tests, but that's what they do in the pharmaceutical industry. 680 00:33:46,440 --> 00:33:49,240 Speaker 11: And you don't want all people from the pharmaceutical industry, 681 00:33:49,360 --> 00:33:51,840 Speaker 11: the ones that are on your like regulatory boards, making 682 00:33:51,880 --> 00:33:54,040 Speaker 11: sure that the tests are being done right. And when 683 00:33:54,080 --> 00:33:56,440 Speaker 11: you see people that are questioning the safety of a 684 00:33:56,520 --> 00:34:01,120 Speaker 11: vaccine lose their license, get ridiculed like Robert Kennedy Junior 685 00:34:01,240 --> 00:34:04,200 Speaker 11: has for twenty years, when they get attacked for asking 686 00:34:04,280 --> 00:34:07,440 Speaker 11: really basic questions like why have you never done a 687 00:34:07,440 --> 00:34:11,080 Speaker 11: double blind placebo trial. Why is no comparative study between 688 00:34:11,080 --> 00:34:13,960 Speaker 11: the vaccine and the unvaccinated proving that our children are 689 00:34:14,000 --> 00:34:16,960 Speaker 11: safer when they're vaccinated. You're a heretic, he's a liar. 690 00:34:17,120 --> 00:34:19,800 Speaker 11: He should he should never be allowed to speak. That 691 00:34:20,200 --> 00:34:22,600 Speaker 11: means you are no longer involved in science. That is 692 00:34:22,640 --> 00:34:25,959 Speaker 11: a religion. Religions are based on faith. Religions are based 693 00:34:26,000 --> 00:34:29,160 Speaker 11: on attacks. Religions are based on war. They're not based 694 00:34:29,160 --> 00:34:32,240 Speaker 11: on the scientific method, which is bring us your best argument, 695 00:34:32,280 --> 00:34:35,000 Speaker 11: and we were refuted. And now up until this moment, 696 00:34:35,120 --> 00:34:37,440 Speaker 11: no doctor or scientist will never step on a stage 697 00:34:37,440 --> 00:34:39,479 Speaker 11: with me. Will never step on a stage with Robert 698 00:34:39,560 --> 00:34:43,759 Speaker 11: Kennedy Junior. Even Joe Rogan challenged Peter Hotez one time, 699 00:34:43,840 --> 00:34:46,520 Speaker 11: just a couple of years ago, saying, Hey, Robert Kennedy 700 00:34:46,640 --> 00:34:48,600 Speaker 11: Junior is willing to sit on a stage with you 701 00:34:49,000 --> 00:34:52,319 Speaker 11: and have a debate about the safety of vaccines. And 702 00:34:52,400 --> 00:34:55,280 Speaker 11: Hotez refused. And I think there was even they offered 703 00:34:55,320 --> 00:34:57,719 Speaker 11: moneys like people started saying, I'll offer money for him 704 00:34:57,719 --> 00:34:58,759 Speaker 11: to do it, and I believe it was like a 705 00:34:58,800 --> 00:35:01,719 Speaker 11: million dollars to any charity of your choice, ended up 706 00:35:01,760 --> 00:35:05,680 Speaker 11: being offered by people from around the country, and he 707 00:35:05,840 --> 00:35:07,920 Speaker 11: still refused. That is not science. 708 00:35:08,239 --> 00:35:10,000 Speaker 10: So how do you go from being one of the 709 00:35:10,040 --> 00:35:13,920 Speaker 10: most sought after executive producers in television to becoming the 710 00:35:14,000 --> 00:35:16,160 Speaker 10: leading anti vax activist in America. 711 00:35:16,239 --> 00:35:20,600 Speaker 11: I'm amazed more people haven't done it. But I consider 712 00:35:20,640 --> 00:35:24,960 Speaker 11: myself a journalist because I'm fascinated by people. I am 713 00:35:25,040 --> 00:35:27,879 Speaker 11: fascinated by a good story and a good investigation. We're 714 00:35:27,920 --> 00:35:31,400 Speaker 11: really just detectives, if you will. And this was a 715 00:35:31,440 --> 00:35:34,759 Speaker 11: story that once I saw it, when I mean really, 716 00:35:34,760 --> 00:35:37,760 Speaker 11: it started with the documentary VAX that I made about 717 00:35:37,760 --> 00:35:40,680 Speaker 11: a whistle lower inside the CDC doctor William Thompson that 718 00:35:40,760 --> 00:35:44,560 Speaker 11: came forward in twenty fifteen and said, we're committing scientific 719 00:35:44,640 --> 00:35:47,239 Speaker 11: fraud on the vaccine safety studies in here. That's as 720 00:35:47,239 --> 00:35:49,319 Speaker 11: big a statement as I'd ever heard my life. And 721 00:35:49,360 --> 00:35:52,799 Speaker 11: then when he provided ten thousand documents showing how they 722 00:35:52,800 --> 00:35:56,680 Speaker 11: committed fraud, especially on the MMR autism study. So this 723 00:35:56,800 --> 00:35:58,920 Speaker 11: was the Measles Moms rebellous study that was done in 724 00:35:58,960 --> 00:36:01,040 Speaker 11: two thousand, Between two thousand and two thousand and four, 725 00:36:01,360 --> 00:36:05,279 Speaker 11: you know, is the MMR vaccine related to autism? And 726 00:36:05,840 --> 00:36:08,799 Speaker 11: when you look and Vaxed covers it. My film covered that. 727 00:36:09,080 --> 00:36:12,560 Speaker 11: I left CBS to make this documentary. It was clear 728 00:36:12,600 --> 00:36:16,960 Speaker 11: to me, as clear as day that our CDC committed 729 00:36:17,000 --> 00:36:22,480 Speaker 11: scientific fraud over the most controversial conversation there is around vaccines, 730 00:36:22,600 --> 00:36:27,239 Speaker 11: does it cause autism? And so when I saw that, 731 00:36:27,400 --> 00:36:29,719 Speaker 11: you know, all of us we've heard this has been 732 00:36:29,760 --> 00:36:33,719 Speaker 11: studied extensively. There's mountains of evidence showing that vaccine is 733 00:36:33,800 --> 00:36:37,400 Speaker 11: the one thing we know doesn't cause autism. When I 734 00:36:37,440 --> 00:36:39,480 Speaker 11: looked at this study and saw the fraud around it, 735 00:36:39,520 --> 00:36:41,040 Speaker 11: I thought, oh my. 736 00:36:41,080 --> 00:36:42,640 Speaker 12: God, what fraud did you see? 737 00:36:42,800 --> 00:36:45,000 Speaker 11: Well, the fact that they kicked half the kids off 738 00:36:45,040 --> 00:36:48,360 Speaker 11: the study in the middle of the trial, the of 739 00:36:48,400 --> 00:36:51,520 Speaker 11: the study. I mean, that's scientific fraud. You have a protocol. 740 00:36:51,600 --> 00:36:54,719 Speaker 11: The way science works is in this case, five scientists 741 00:36:54,800 --> 00:36:57,400 Speaker 11: sit together, they say, we're going to study this group 742 00:36:57,440 --> 00:37:00,440 Speaker 11: of children from the Atlanta school district. Were going to 743 00:37:00,480 --> 00:37:02,680 Speaker 11: look at their health records, We're going to look at 744 00:37:02,680 --> 00:37:05,240 Speaker 11: their school records, We're going to look at their vaccine records. 745 00:37:05,600 --> 00:37:08,520 Speaker 11: And the study was really simple. They thought, well, if 746 00:37:08,600 --> 00:37:13,360 Speaker 11: vaccines or if the MMR does contribute to autism, would 747 00:37:13,360 --> 00:37:15,319 Speaker 11: it make a difference if you got it younger in 748 00:37:15,360 --> 00:37:17,680 Speaker 11: life for older in life. And that's all the study was. 749 00:37:17,760 --> 00:37:21,480 Speaker 11: It was a timing study. Again, no one unvaccinated in 750 00:37:21,480 --> 00:37:24,840 Speaker 11: this study. It simply compared children that got the vaccine 751 00:37:25,200 --> 00:37:28,080 Speaker 11: at twelve months old to those that got it after 752 00:37:28,320 --> 00:37:30,960 Speaker 11: three years old. That was it. Two different groups. Those 753 00:37:30,960 --> 00:37:33,520 Speaker 11: got it older, those that got it younger. The ones 754 00:37:33,560 --> 00:37:36,759 Speaker 11: that got it younger were four times more likely to 755 00:37:36,840 --> 00:37:40,839 Speaker 11: have autism. Wow, huge, huge, And again we have no 756 00:37:41,000 --> 00:37:44,200 Speaker 11: idea how many time much more times they would have 757 00:37:44,280 --> 00:37:47,200 Speaker 11: autism if they were compared against kids that never got 758 00:37:47,280 --> 00:37:50,719 Speaker 11: this vaccine. Only the ones that they waited until after 759 00:37:50,719 --> 00:37:53,120 Speaker 11: they're three years old. And as soon as they saw 760 00:37:53,239 --> 00:37:56,799 Speaker 11: that that those reactions and those numbers exist because doctor 761 00:37:56,840 --> 00:38:00,400 Speaker 11: William Thompson provided us with here were the original numbers. 762 00:38:00,400 --> 00:38:03,080 Speaker 11: He was the epidemiologist. Here's how it laid out, here's 763 00:38:03,120 --> 00:38:04,760 Speaker 11: what we saw. It can show it. Here's the numbers. 764 00:38:04,760 --> 00:38:05,440 Speaker 1: They prove it. 765 00:38:05,920 --> 00:38:08,320 Speaker 11: And then they went and said, well, we have a problem, Houston, 766 00:38:08,400 --> 00:38:11,400 Speaker 11: we have a problem. And then they kicked half the 767 00:38:11,480 --> 00:38:15,080 Speaker 11: kids off the study to dilute that number. It's still, 768 00:38:15,120 --> 00:38:17,800 Speaker 11: by the way, showed that there was a slight increase 769 00:38:17,800 --> 00:38:20,520 Speaker 11: in autism, but there weren't enough children in the study 770 00:38:20,560 --> 00:38:23,680 Speaker 11: any longer to call it statistically significant, and so they 771 00:38:23,719 --> 00:38:26,640 Speaker 11: said there's nothing to see here, and they used that. 772 00:38:26,800 --> 00:38:29,520 Speaker 11: And by the way, that was the last study ever 773 00:38:29,640 --> 00:38:32,799 Speaker 11: done in the United States of America looking at vaccines 774 00:38:32,880 --> 00:38:35,080 Speaker 11: and autism, and that was a study from two thousand. 775 00:38:35,400 --> 00:38:39,440 Speaker 11: So for twenty five years, our government keeps telling us 776 00:38:39,440 --> 00:38:43,080 Speaker 11: we've extensively looked at this, and they're using a fraudulent 777 00:38:43,160 --> 00:38:46,400 Speaker 11: study where you change when you change your study protocol, 778 00:38:46,440 --> 00:38:47,759 Speaker 11: when you say we're going to look at this and 779 00:38:47,800 --> 00:38:49,880 Speaker 11: we're going to report everything we find, and in the 780 00:38:49,880 --> 00:38:52,600 Speaker 11: middle of finding things, you change the kids that are 781 00:38:52,600 --> 00:38:55,799 Speaker 11: in the study. That's fraud, hands down, no other way 782 00:38:55,840 --> 00:38:58,120 Speaker 11: to describe it. And so what I'll say to people is, 783 00:38:58,800 --> 00:39:04,080 Speaker 11: vax doesn't proof that the MMR causes autism. Vaxxed. My 784 00:39:04,239 --> 00:39:08,719 Speaker 11: film proves that five scientists were so horrified by the 785 00:39:08,760 --> 00:39:11,640 Speaker 11: results they were getting in a study that they committed 786 00:39:11,680 --> 00:39:17,080 Speaker 11: scientific fraud to hide it. 787 00:39:18,360 --> 00:39:21,359 Speaker 8: Got to admire what you've been able to do, not 788 00:39:21,400 --> 00:39:25,399 Speaker 8: to weaponize, but to organize on these college campuses. 789 00:39:25,080 --> 00:39:28,520 Speaker 3: At Turning Point USA. We've spent thirteen years building the machine, 790 00:39:28,560 --> 00:39:29,200 Speaker 3: and last. 791 00:39:29,040 --> 00:39:30,040 Speaker 1: Year we sought payoff. 792 00:39:30,400 --> 00:39:32,920 Speaker 3: Our grassroots army is making a real difference. Help us 793 00:39:33,000 --> 00:39:36,680 Speaker 3: keep the momentum going. Donate today and keep TPUSA strong 794 00:39:36,840 --> 00:39:39,000 Speaker 3: on campuses across America, and. 795 00:39:39,000 --> 00:39:41,239 Speaker 9: For a gift of any amount, you'll receive your big 796 00:39:41,239 --> 00:39:46,840 Speaker 9: Gov sucks Cooler claim yours today. 797 00:39:50,120 --> 00:39:52,520 Speaker 2: Welcome back to Turning Point Tonight, We're together. We are 798 00:39:52,600 --> 00:39:55,560 Speaker 2: charting the course of America's cultural comeback. We don't have 799 00:39:55,600 --> 00:39:57,560 Speaker 2: a ton of time for this segment, so quickly remind 800 00:39:57,600 --> 00:40:00,719 Speaker 2: you TPT at TPUSA dot com is the email. Send 801 00:40:00,800 --> 00:40:03,480 Speaker 2: whatever you want, send us hilarious memes, and send us 802 00:40:03,560 --> 00:40:12,879 Speaker 2: videos like this. So without further Ado, it is woke Wednesday. Now, 803 00:40:12,920 --> 00:40:17,399 Speaker 2: when you or I see someone with a big, obtuse nosering, 804 00:40:17,680 --> 00:40:21,680 Speaker 2: we generally have a stereotypical understanding of how that person 805 00:40:21,760 --> 00:40:25,480 Speaker 2: is going to be. In most cases, it's true, and 806 00:40:25,520 --> 00:40:29,320 Speaker 2: it's more true in this particular instance where this young lady, 807 00:40:29,640 --> 00:40:31,560 Speaker 2: which you know, I don't want to assume her gender, 808 00:40:31,640 --> 00:40:35,480 Speaker 2: but I'm pretty sure there it's a young lady has 809 00:40:35,520 --> 00:40:39,680 Speaker 2: a nose ring and is really upset about people stereotyping 810 00:40:39,800 --> 00:40:40,840 Speaker 2: nosering theory. 811 00:40:41,320 --> 00:40:42,040 Speaker 1: And what she. 812 00:40:42,040 --> 00:40:45,560 Speaker 2: Says afterwards is funny, ironic, and it's just silly overall. 813 00:40:45,600 --> 00:40:45,960 Speaker 11: Watch this. 814 00:40:46,880 --> 00:40:48,960 Speaker 13: I'm going to hold your hand with an industrial paper 815 00:40:49,000 --> 00:40:51,200 Speaker 13: towel when I tell you that your comments saying. 816 00:40:51,560 --> 00:40:55,080 Speaker 1: Nose ring theory are literally doing. 817 00:40:54,800 --> 00:40:56,440 Speaker 4: The opposite of what you think they are. 818 00:40:57,440 --> 00:40:59,080 Speaker 13: I want to look this way. I want you to 819 00:40:59,120 --> 00:41:01,000 Speaker 13: be able to look at me and see that I 820 00:41:01,040 --> 00:41:03,000 Speaker 13: am a safe space and that I don't tolerate for 821 00:41:04,120 --> 00:41:07,040 Speaker 13: I want you to look at me and know Donald 822 00:41:07,040 --> 00:41:11,440 Speaker 13: Trump ock man, honestly, and what's going on in the 823 00:41:11,480 --> 00:41:15,600 Speaker 13: world right now, the genocide and Gaza and anybody who 824 00:41:15,640 --> 00:41:21,000 Speaker 13: thinks any differently, Honestly, if I'm not for you good. 825 00:41:23,160 --> 00:41:25,880 Speaker 1: That the funniest part about that is I am a 826 00:41:25,920 --> 00:41:30,440 Speaker 1: safe space. I'm a fucking safe space. I'm mad about it. 827 00:41:30,600 --> 00:41:34,760 Speaker 2: Just the idea that, Okay, there's this guy that said 828 00:41:35,400 --> 00:41:37,160 Speaker 2: what I think is one of the most true things 829 00:41:37,239 --> 00:41:41,480 Speaker 2: I've ever heard. He was like, hippies are really really 830 00:41:41,560 --> 00:41:45,280 Speaker 2: mean people cause playing as nice people. And metal heads 831 00:41:45,320 --> 00:41:48,960 Speaker 2: are really really nice people cause playing as mean people. 832 00:41:49,239 --> 00:41:51,840 Speaker 2: And that is just so accurate. Anytime you meet like 833 00:41:51,840 --> 00:41:54,400 Speaker 2: a metal head, you kind of think grunchy, kind of 834 00:41:54,440 --> 00:41:56,759 Speaker 2: looking dude, and turns out is the nicest guy in 835 00:41:56,800 --> 00:41:59,360 Speaker 2: the world. And then you walk over to the vegan 836 00:41:59,560 --> 00:42:01,120 Speaker 2: store and the hippies. 837 00:42:00,719 --> 00:42:03,560 Speaker 1: Are like, hey, will peace and love. Also, if you 838 00:42:03,719 --> 00:42:05,880 Speaker 1: if you voted for Donald Trump, you're the worst. 839 00:42:05,960 --> 00:42:09,640 Speaker 2: I hate you exactly like with this, I am a 840 00:42:09,719 --> 00:42:13,879 Speaker 2: safe space and f this f that I hate this. 841 00:42:14,120 --> 00:42:18,440 Speaker 1: I hate you. Go to hell for safety. I guess 842 00:42:19,800 --> 00:42:20,160 Speaker 1: I don't know. 843 00:42:20,200 --> 00:42:23,719 Speaker 2: It never never ceases to amaze me, the irony there 844 00:42:23,760 --> 00:42:26,480 Speaker 2: of like I'm a safe space, but also none of 845 00:42:26,680 --> 00:42:29,239 Speaker 2: nothing about me is safe in any way, shape or form. 846 00:42:29,880 --> 00:42:30,799 Speaker 1: That's gonna do it for us. 847 00:42:30,840 --> 00:42:32,560 Speaker 2: I told you we got a minimal amount of time today, 848 00:42:32,560 --> 00:42:34,640 Speaker 2: but really appreciate you sticking around in tuning in Charlie 849 00:42:34,680 --> 00:42:36,400 Speaker 2: Kirk is gonna take us out. We will see tomorrow, 850 00:42:36,480 --> 00:42:43,040 Speaker 2: same time, same place. God bless America. 851 00:42:49,000 --> 00:42:51,680 Speaker 14: So, for example, the sye op with Big Food is 852 00:42:51,719 --> 00:42:53,680 Speaker 14: that you can be healthy in any size, and we 853 00:42:53,800 --> 00:42:57,440 Speaker 14: know that they paid off influencers and even registered dietitians 854 00:42:57,480 --> 00:43:01,440 Speaker 14: to spread this messaging. And then one Big Pharma's narrative 855 00:43:01,480 --> 00:43:02,600 Speaker 14: is no, no, no, no. 856 00:43:03,160 --> 00:43:05,080 Speaker 12: Don't worry you sad, sorry thing. 857 00:43:06,400 --> 00:43:08,799 Speaker 14: You will never be able to help yourself out of this, 858 00:43:08,880 --> 00:43:10,520 Speaker 14: So just take this drug. 859 00:43:10,840 --> 00:43:11,800 Speaker 12: And then you'll be okay. 860 00:43:11,920 --> 00:43:14,320 Speaker 14: But by the way, the only mechanism by which the 861 00:43:14,400 --> 00:43:17,879 Speaker 14: drug facilitates weight loss is that it helps you eat 862 00:43:18,000 --> 00:43:22,479 Speaker 14: less food, which brings me to the factor you didn't mention, 863 00:43:22,600 --> 00:43:24,080 Speaker 14: and that's the psychological That's. 864 00:43:23,920 --> 00:43:25,239 Speaker 3: What that was the last one. So if you had 865 00:43:25,280 --> 00:43:28,160 Speaker 3: to wait it out of a scale of one hundred, yeah, no, 866 00:43:28,239 --> 00:43:32,440 Speaker 3: But how much of it would be like agency attitude, mindset? 867 00:43:32,960 --> 00:43:35,960 Speaker 3: What would you put that eighty percent ninety percent of 868 00:43:36,000 --> 00:43:36,560 Speaker 3: the problem. 869 00:43:36,640 --> 00:43:38,880 Speaker 14: For people that are morbidly obese, I would put it 870 00:43:38,920 --> 00:43:43,120 Speaker 14: at eighty percent of the problem because for them, food 871 00:43:43,560 --> 00:43:45,960 Speaker 14: is equated with their psychological survival. 872 00:43:46,000 --> 00:43:48,160 Speaker 12: And I'll give you a very obvious example. 873 00:43:47,760 --> 00:43:51,600 Speaker 14: If somebody has been insested or raped or sexually abused, 874 00:43:52,760 --> 00:43:57,560 Speaker 14: they may choose to desexualize by eating a lot and 875 00:43:57,640 --> 00:44:03,799 Speaker 14: getting bigger. It's not ONNCIS necessarily, but many people do this, 876 00:44:04,040 --> 00:44:08,240 Speaker 14: and there are many different examples in response to different trauma. 877 00:44:08,360 --> 00:44:10,799 Speaker 14: So they're they're not lazy, they're not dumb, they're not weak, 878 00:44:10,800 --> 00:44:13,799 Speaker 14: they're not stupid. And if you haven't experienced that and 879 00:44:13,800 --> 00:44:18,840 Speaker 14: you're not morbidly obese, we are still overworked, overstressed, We 880 00:44:18,880 --> 00:44:21,600 Speaker 14: are spread far too thin, and. 881 00:44:21,520 --> 00:44:23,560 Speaker 12: This food is engineered to be addictive. 882 00:44:23,600 --> 00:44:28,239 Speaker 14: It's omnipresent, so they exploit people's vulnerabilities. And this is 883 00:44:28,280 --> 00:44:31,319 Speaker 14: why we went from five percent of our population being 884 00:44:31,560 --> 00:44:34,920 Speaker 14: overweight in the seventies to seventy four percent of our 885 00:44:34,960 --> 00:44:36,280 Speaker 14: adult population. 886 00:44:35,880 --> 00:44:37,040 Speaker 12: Being overweight today. 887 00:44:37,080 --> 00:44:40,319 Speaker 14: It's not a quantum leap in genetics, and it's not 888 00:44:40,520 --> 00:44:43,279 Speaker 14: a moral failing of the vast. 889 00:44:43,040 --> 00:44:46,320 Speaker 12: Majority of our adults. You're being set up. The system 890 00:44:46,360 --> 00:44:46,760 Speaker 12: is rigged. 891 00:44:46,800 --> 00:44:50,040 Speaker 3: It's also lack of nicotine. Of course, well, I think 892 00:44:50,560 --> 00:44:51,160 Speaker 3: use nicotine. 893 00:44:51,280 --> 00:44:53,040 Speaker 12: Right, Do people think I smoked? They're like, I didn't 894 00:44:53,040 --> 00:44:54,400 Speaker 12: know she was a smoker. I'm like, no, no. 895 00:44:54,840 --> 00:44:56,719 Speaker 3: No, that nicotine's appetite suppressant. 896 00:44:56,840 --> 00:45:00,440 Speaker 12: So I mean it's say, also big cognitive enhancer of. 897 00:45:00,440 --> 00:45:01,440 Speaker 4: Course, yeah, that's why you use. 898 00:45:01,520 --> 00:45:03,760 Speaker 3: Yeah, it does, and it constricts blood vessels and actually 899 00:45:03,760 --> 00:45:07,920 Speaker 3: prevents dimension Alzheimer's and Parkinson's. But no, I have a 900 00:45:07,920 --> 00:45:10,319 Speaker 3: whole theory that smoking is bad. You should not smoke. 901 00:45:10,440 --> 00:45:12,399 Speaker 3: Smoking is bad, and I think it's disgusting. I hate 902 00:45:12,400 --> 00:45:14,640 Speaker 3: the smell of smoking. But we were a thinner country 903 00:45:14,640 --> 00:45:17,399 Speaker 3: when people smoked. Obviously, well that that definitely played a role. 904 00:45:17,760 --> 00:45:19,400 Speaker 3: I mean, because it's just when you're smoking as an 905 00:45:19,400 --> 00:45:21,840 Speaker 3: appetite suppressant. But I'm not we should not do smoking, like, 906 00:45:22,080 --> 00:45:23,000 Speaker 3: do not smoke. 907 00:45:22,840 --> 00:45:25,040 Speaker 11: That's yes, please, don't you know. 908 00:45:25,239 --> 00:45:26,479 Speaker 1: But you could make an. 909 00:45:26,400 --> 00:45:29,400 Speaker 3: Argument though that even with a smoke, like it's funny 910 00:45:29,400 --> 00:45:31,680 Speaker 3: when when more people smoke, we were a healthier country. 911 00:45:32,360 --> 00:45:34,160 Speaker 12: There were also a lot of other factors. 912 00:45:34,200 --> 00:45:39,000 Speaker 14: The food you milk was not filled with hormones and antibiotics, 913 00:45:39,080 --> 00:45:43,160 Speaker 14: and ultra processed food was really just sugar and fat, 914 00:45:43,280 --> 00:45:46,080 Speaker 14: not high fructose corns. Row have been ten thousand other 915 00:45:46,239 --> 00:45:49,000 Speaker 14: ingredients that are designed to trigger the dopamine center in 916 00:45:49,080 --> 00:45:52,000 Speaker 14: your brain, and you know, impede your satiety hormones like 917 00:45:52,360 --> 00:45:54,839 Speaker 14: it's it's a it's a science experiment for sure. 918 00:45:54,920 --> 00:45:59,040 Speaker 3: So for people that say, let's say they're overweight, how 919 00:45:59,120 --> 00:46:02,200 Speaker 3: much of them here's now the other kicker, exercise versus diet. 920 00:46:02,719 --> 00:46:04,920 Speaker 14: Great question, all right, So it depends on what you're 921 00:46:04,960 --> 00:46:07,640 Speaker 14: trying to achieve. If you're trying to maintain your weight, 922 00:46:08,840 --> 00:46:11,960 Speaker 14: phoot is a factor, But if you're working out, it's 923 00:46:12,080 --> 00:46:18,080 Speaker 14: arguably the most effective tool at maintaining metabolism exactly. Truthfully, 924 00:46:18,239 --> 00:46:20,239 Speaker 14: if you overeat, that's the thing that's going to make 925 00:46:20,280 --> 00:46:22,399 Speaker 14: you gain weight. You can't really exercise your way out 926 00:46:22,440 --> 00:46:24,279 Speaker 14: of it. But if you have a lot of weight 927 00:46:24,320 --> 00:46:26,600 Speaker 14: to lose, I can't starve it off of you. So 928 00:46:26,680 --> 00:46:29,160 Speaker 14: here's what I mean. With the contestants on the show 929 00:46:29,200 --> 00:46:32,359 Speaker 14: that people saw go from four hundred pounds to one 930 00:46:32,440 --> 00:46:36,479 Speaker 14: hundred and eighty pounds, I'm not dropping their calories to zero. 931 00:46:36,560 --> 00:46:39,719 Speaker 14: And even if I did, the math isn't there anyway. 932 00:46:39,800 --> 00:46:42,680 Speaker 14: In other words, if it takes thirty five hundred calories 933 00:46:43,080 --> 00:46:45,480 Speaker 14: to burn off a pound of fat roughly give or take, 934 00:46:45,520 --> 00:46:49,839 Speaker 14: it's an estimate. But nevertheless, okay, so you eat zero, 935 00:46:50,280 --> 00:46:51,640 Speaker 14: how much does your body burn in a day. 936 00:46:51,680 --> 00:46:52,760 Speaker 12: Let's say it's three thousand. 937 00:46:53,280 --> 00:46:55,080 Speaker 14: I mean, that's like your best case scenario, and you'll 938 00:46:55,120 --> 00:46:58,359 Speaker 14: end up destroying your health. So steady state cardio, that's 939 00:46:58,400 --> 00:46:59,600 Speaker 14: how I would kind of push them. 940 00:46:59,680 --> 00:47:00,439 Speaker 12: I would make them. 941 00:47:00,360 --> 00:47:02,920 Speaker 14: Going what I would call the walk to China, though 942 00:47:02,920 --> 00:47:04,839 Speaker 14: that's probably the wrong country to bring up here, but 943 00:47:04,960 --> 00:47:10,239 Speaker 14: it had no it had no charge back in the day. 944 00:47:10,360 --> 00:47:12,399 Speaker 12: That's for perfect Yes, a Europe at the same place. 945 00:47:13,400 --> 00:47:16,359 Speaker 14: So long story shorties, that would have them do this long, 946 00:47:16,360 --> 00:47:20,120 Speaker 14: steady state duration cardio to create a massive energy call 947 00:47:20,640 --> 00:47:22,400 Speaker 14: and that's all that is. 948 00:47:22,680 --> 00:47:25,640 Speaker 3: It stored energ raises their metabolic rate, yeah, burns calory. 949 00:47:25,719 --> 00:47:28,600 Speaker 3: So so then so you want obviously, I mean, look, 950 00:47:28,600 --> 00:47:31,480 Speaker 3: if you want to lose weight, just being a calorie deficit, right, yeah, 951 00:47:31,520 --> 00:47:34,399 Speaker 3: it's not that hard. It's like it's just burn more 952 00:47:34,440 --> 00:47:37,600 Speaker 3: calories than you put in and definitionally you'll you'll lose weight. 953 00:47:37,920 --> 00:47:39,759 Speaker 3: So just excite note because it just came to me. 954 00:47:39,840 --> 00:47:42,319 Speaker 3: So you did it for thirteen years gosh did I 955 00:47:42,320 --> 00:47:43,160 Speaker 3: I know you said. 956 00:47:42,920 --> 00:47:44,880 Speaker 12: That right on the Biggest Loser. 957 00:47:45,200 --> 00:47:47,000 Speaker 3: Gosh, maybe that's what you said, right, I don't know, 958 00:47:47,080 --> 00:47:49,600 Speaker 3: maybe thirteen years ago or maybe they were thirteen years. 959 00:47:49,960 --> 00:47:52,520 Speaker 12: Jeez, okay, I did it for maybe a long time. 960 00:47:53,080 --> 00:47:56,480 Speaker 3: So you had hundreds of contestants, dozens. 961 00:47:56,520 --> 00:48:00,440 Speaker 14: Okay, So I would imagine that probably while I was 962 00:48:00,480 --> 00:48:03,200 Speaker 14: on the show, several hundred came through. 963 00:48:03,920 --> 00:48:06,759 Speaker 12: I worked with half of them. 964 00:48:07,080 --> 00:48:11,200 Speaker 14: Now, the sad part of this is that you would 965 00:48:11,200 --> 00:48:12,200 Speaker 14: only get a few of them. 966 00:48:12,239 --> 00:48:13,040 Speaker 12: It was a game show. 967 00:48:13,080 --> 00:48:14,920 Speaker 14: It was the gamification of weight loss, which I actually 968 00:48:15,000 --> 00:48:16,960 Speaker 14: don't agree with and was one of the things that 969 00:48:17,000 --> 00:48:20,400 Speaker 14: I took mbage with with the producers. 970 00:48:20,440 --> 00:48:23,200 Speaker 12: But they would go home week one, week two, week three. 971 00:48:23,320 --> 00:48:26,759 Speaker 14: But the reality is that probably thirty five percent of 972 00:48:26,760 --> 00:48:29,920 Speaker 14: the people I worked with continue to be healthy and 973 00:48:29,960 --> 00:48:30,520 Speaker 14: keep that was. 974 00:48:30,520 --> 00:48:32,719 Speaker 3: Give me my question, So what percentage of the people 975 00:48:32,760 --> 00:48:35,480 Speaker 3: that went from four hundred to one eighty stayed in 976 00:48:35,520 --> 00:48:36,320 Speaker 3: that range? 977 00:48:36,480 --> 00:48:38,200 Speaker 12: For me, roughly thirty five percent. 978 00:48:38,320 --> 00:48:40,120 Speaker 3: Well, did they go back to four hundred or did 979 00:48:40,160 --> 00:48:41,719 Speaker 3: they like go to two fifty. 980 00:48:42,200 --> 00:48:45,680 Speaker 14: Not the ones that maintained. The ones that maintained probably 981 00:48:45,680 --> 00:48:49,760 Speaker 14: went up twenty pounds for the guys, ten to fifteen 982 00:48:49,760 --> 00:48:50,560 Speaker 14: pounds for the girls. 983 00:48:50,560 --> 00:48:51,759 Speaker 12: Because you also have. 984 00:48:51,719 --> 00:48:55,520 Speaker 14: To remember they were coming in at that finale, like 985 00:48:56,160 --> 00:48:58,359 Speaker 14: you know, so lean and. 986 00:48:58,280 --> 00:48:59,560 Speaker 3: They relaxed and they motivated. 987 00:48:59,719 --> 00:49:02,839 Speaker 14: Yeah, but the ones that put it all back put 988 00:49:02,880 --> 00:49:04,000 Speaker 14: it all back. 989 00:49:03,760 --> 00:49:06,640 Speaker 12: And some did oh sixty six percent, I would say, and. 990 00:49:06,880 --> 00:49:07,719 Speaker 3: It's unbelievable me. 991 00:49:07,800 --> 00:49:08,720 Speaker 4: So that's nothing. 992 00:49:09,440 --> 00:49:13,000 Speaker 14: Five percent of the people that lose weight are the 993 00:49:13,080 --> 00:49:14,000 Speaker 14: ones that keep it off. 994 00:49:14,160 --> 00:49:18,640 Speaker 3: N But what is the data on dramatic weight loss? 995 00:49:18,760 --> 00:49:21,439 Speaker 3: It's that so, I mean meaning people will lose two 996 00:49:21,520 --> 00:49:23,200 Speaker 3: hundred to go regain two hundreds. 997 00:49:23,200 --> 00:49:24,240 Speaker 12: Absolutely, yes. 998 00:49:24,680 --> 00:49:28,520 Speaker 14: And the reason it's so sad here's why, though, because 999 00:49:28,560 --> 00:49:31,080 Speaker 14: while you and I consider and say, look, how. 1000 00:49:30,920 --> 00:49:33,759 Speaker 3: Simple this is just I'm not saying it's simple. I'm 1001 00:49:33,800 --> 00:49:34,520 Speaker 3: just saying it's sad. 1002 00:49:34,920 --> 00:49:38,040 Speaker 14: Or the simple math meaning right that the math is 1003 00:49:38,120 --> 00:49:39,760 Speaker 14: very simple, not hard to understand. 1004 00:49:39,840 --> 00:49:41,319 Speaker 12: To eat less food, you'll lose weight. 1005 00:49:41,360 --> 00:49:45,560 Speaker 14: Don't buy into the narratives it's it's simple. But just 1006 00:49:45,560 --> 00:49:48,200 Speaker 14: because it's simple doesn't mean it's easy. So whatever it 1007 00:49:48,400 --> 00:49:53,640 Speaker 14: was that the food afforded them, generally speaking, it doesn't 1008 00:49:53,640 --> 00:49:54,400 Speaker 14: get resolved