1 00:00:09,200 --> 00:00:16,599 Speaker 1: Will MS now formerly MSDNC, sorry MSNBC survive in their new. 2 00:00:16,880 --> 00:00:22,599 Speaker 2: Medium away from NBC. Also, Boston collaps back. 3 00:00:22,400 --> 00:00:25,639 Speaker 1: At President Trump's initiative trying to make cities, you know, 4 00:00:25,760 --> 00:00:27,920 Speaker 1: do this crazy thing called follow the line, and it's 5 00:00:27,960 --> 00:00:30,200 Speaker 1: kind of weird, but I guess that's what the administration 6 00:00:30,280 --> 00:00:33,600 Speaker 1: is trying to do. And they had the biggest pride 7 00:00:33,640 --> 00:00:37,040 Speaker 1: flag ever flown in Yosemite, and now they've got the 8 00:00:37,040 --> 00:00:39,760 Speaker 1: biggest unemployment check, which I hope is not that big, 9 00:00:39,800 --> 00:00:41,600 Speaker 1: but I think that might be the case. All that 10 00:00:41,680 --> 00:00:43,440 Speaker 1: more coming up on this episode at Turning Point Tonight. 11 00:00:43,479 --> 00:00:45,600 Speaker 1: My name is Joe Bob. Thanks so much for tuning in. Together, 12 00:00:45,680 --> 00:00:49,000 Speaker 1: we are charting the course of America's cultural comeback. 13 00:00:49,080 --> 00:00:50,760 Speaker 2: This is Turning Point Tonight. 14 00:00:50,800 --> 00:00:53,240 Speaker 1: Now, remember you can email the show anytime you want 15 00:00:53,280 --> 00:00:56,200 Speaker 1: TPT at TPUSA dot com. We love seeing your emails, 16 00:00:56,440 --> 00:00:58,400 Speaker 1: whether or not you agree with everything we say in 17 00:00:58,480 --> 00:01:01,600 Speaker 1: the entire show or you're wrong. Love seeing emails. TPT 18 00:01:01,720 --> 00:01:06,119 Speaker 1: Turning Points Tonight TPT at TPUSA dot com. And before 19 00:01:06,120 --> 00:01:08,840 Speaker 1: we get to those stories in our fantastic panel, we 20 00:01:09,000 --> 00:01:14,520 Speaker 1: have to get to this what a shift show. Senator 21 00:01:14,560 --> 00:01:18,480 Speaker 1: Adam Schiff is at the center of a mortgage fraud scandal. 22 00:01:18,600 --> 00:01:21,440 Speaker 1: Now there's a lot to be said about that. Did 23 00:01:21,520 --> 00:01:26,800 Speaker 1: he lie to some certain regulator to decrease his mortgage rate, 24 00:01:27,000 --> 00:01:30,040 Speaker 1: did he skip out on property taxes? All of that 25 00:01:30,280 --> 00:01:33,320 Speaker 1: is going to be sorted out. What I think should 26 00:01:33,360 --> 00:01:36,560 Speaker 1: be talked more about are all of the other details 27 00:01:36,600 --> 00:01:41,000 Speaker 1: that are coming to light, like specifically where Adam Schiff lives. Now, 28 00:01:41,560 --> 00:01:45,160 Speaker 1: this is not at all a dosing moment. You're probably 29 00:01:45,160 --> 00:01:46,640 Speaker 1: gonna see a picture of his house on the b 30 00:01:46,800 --> 00:01:49,920 Speaker 1: roll not don't do any nobody's saying to do anything 31 00:01:49,920 --> 00:01:53,640 Speaker 1: with that. What we're saying is that the man represents 32 00:01:53,720 --> 00:01:57,440 Speaker 1: the greater Los Angeles area, but does he have a 33 00:01:57,480 --> 00:01:59,840 Speaker 1: presence there, does he live there, or does he live 34 00:01:59,840 --> 00:02:05,760 Speaker 1: in hihrely in his schwanky DC house. Senator Shift bought 35 00:02:05,800 --> 00:02:09,079 Speaker 1: a thirty four hundred square foot home in a very 36 00:02:09,200 --> 00:02:11,520 Speaker 1: very nice suburb of Washington, d C. 37 00:02:11,639 --> 00:02:14,880 Speaker 2: In the state of Maryland for uh, well, we. 38 00:02:14,800 --> 00:02:17,160 Speaker 1: Don't tell you how much specifically it was, but it's 39 00:02:17,240 --> 00:02:19,720 Speaker 1: doubled in value since two thousand and three when he 40 00:02:19,800 --> 00:02:22,840 Speaker 1: was in DC as a congressperson. And what does he 41 00:02:22,960 --> 00:02:26,480 Speaker 1: own in the town that he represents The constituents that 42 00:02:26,520 --> 00:02:30,760 Speaker 1: he so ardently supports well six hundred square foot one bedroom, 43 00:02:30,800 --> 00:02:34,160 Speaker 1: one bath condo and burbank. Now tell me, does that 44 00:02:34,280 --> 00:02:37,239 Speaker 1: feel like a guy who is representing his area or 45 00:02:37,600 --> 00:02:40,320 Speaker 1: a guy who went to d C and is basically 46 00:02:40,360 --> 00:02:43,440 Speaker 1: living there and just pretending to represent the folks in 47 00:02:43,480 --> 00:02:46,640 Speaker 1: California as a senator. Now Here to comment on that 48 00:02:46,800 --> 00:02:49,960 Speaker 1: and so much more is our fantastic panel. David Pollock 49 00:02:49,960 --> 00:02:51,880 Speaker 1: as a host of The David Pollock Show, and comedian 50 00:02:52,000 --> 00:02:53,880 Speaker 1: k Von Guys. Thanks so much for joining us. 51 00:02:54,919 --> 00:02:56,119 Speaker 3: Thank you, ros pleasure to be here. 52 00:02:56,720 --> 00:02:57,040 Speaker 2: David. 53 00:02:57,280 --> 00:03:00,440 Speaker 1: Look, I understand that politicians have to have play d 54 00:03:00,720 --> 00:03:02,560 Speaker 1: I'm not saying that he shouldn't have his place in DC, 55 00:03:02,720 --> 00:03:06,160 Speaker 1: but his neighbors say he spends all of his time here. 56 00:03:06,200 --> 00:03:10,120 Speaker 1: He's always here. This is his primary home. All of 57 00:03:10,160 --> 00:03:14,240 Speaker 1: the tax stuff, mortgage potential, mortgage fraud aside. What does 58 00:03:14,280 --> 00:03:17,360 Speaker 1: it say that our politicians are just so open with Yeah, 59 00:03:17,560 --> 00:03:18,600 Speaker 1: I live in d C. 60 00:03:18,840 --> 00:03:21,120 Speaker 2: But the place that I represent, I got. 61 00:03:21,040 --> 00:03:23,560 Speaker 1: A one bedroom, one bath condo that's a six hundred 62 00:03:23,560 --> 00:03:25,040 Speaker 1: square feet that I never go do. 63 00:03:25,120 --> 00:03:27,160 Speaker 4: What does that say about our modern politicians? 64 00:03:27,600 --> 00:03:29,200 Speaker 5: Yeah? I have a solution for this I think we 65 00:03:29,240 --> 00:03:32,840 Speaker 5: should put all DC politicians. Politicians in barracks, right, like 66 00:03:32,919 --> 00:03:36,720 Speaker 5: military style of barracks with bunk beds and just and 67 00:03:36,760 --> 00:03:38,320 Speaker 5: the Speaker of the House or the leader of the 68 00:03:38,360 --> 00:03:40,320 Speaker 5: Senate will be like the drill sergeants. They walk through 69 00:03:40,480 --> 00:03:42,400 Speaker 5: and they wake them up in the morning, like get up, 70 00:03:42,520 --> 00:03:46,000 Speaker 5: we have bills to pass, you know. That's what I 71 00:03:46,000 --> 00:03:47,720 Speaker 5: think we need to do, because the idea that they 72 00:03:47,760 --> 00:03:50,720 Speaker 5: can go and just win an election in a district 73 00:03:51,040 --> 00:03:53,240 Speaker 5: planned a little flag there, build a tent there in 74 00:03:53,280 --> 00:03:55,360 Speaker 5: it in place like California where that's really all you 75 00:03:55,360 --> 00:03:57,440 Speaker 5: need to be a resident, put your little tent there 76 00:03:57,440 --> 00:03:59,560 Speaker 5: in burbank, and then you go to and then you 77 00:03:59,560 --> 00:04:01,920 Speaker 5: go to Washington, DC the swamp, and you go and 78 00:04:01,960 --> 00:04:04,360 Speaker 5: buy a million plus dollar residents and you spend most 79 00:04:04,400 --> 00:04:05,640 Speaker 5: of your time there, and then you come to your 80 00:04:05,680 --> 00:04:07,760 Speaker 5: district when you have to. Meanwhile, you're flying back to 81 00:04:07,840 --> 00:04:09,600 Speaker 5: DC where you're really making a home. 82 00:04:09,760 --> 00:04:12,200 Speaker 3: This is the problem with Washington DC. This is how 83 00:04:12,240 --> 00:04:13,000 Speaker 3: we fix. 84 00:04:12,760 --> 00:04:16,880 Speaker 5: It by not allowing our politicians to own homes anywhere 85 00:04:16,880 --> 00:04:19,720 Speaker 5: but the districts that they live in other than vacation homes. 86 00:04:19,720 --> 00:04:21,160 Speaker 5: And we have to track how much time they spend 87 00:04:21,160 --> 00:04:23,360 Speaker 5: there because the idea that they can live in DC 88 00:04:23,680 --> 00:04:24,880 Speaker 5: and represent a district can. 89 00:04:24,760 --> 00:04:27,560 Speaker 3: Ever go to is everything that's wrong in Washington totally. 90 00:04:27,680 --> 00:04:29,719 Speaker 1: And the thing is, like, I don't even necessarily know 91 00:04:29,760 --> 00:04:32,480 Speaker 1: if there's a law that would feasibly make that work, 92 00:04:32,520 --> 00:04:34,520 Speaker 1: because you've got a whole bunch of different freedom issues. 93 00:04:34,600 --> 00:04:36,880 Speaker 1: What I think is it should be a voters thing. Kvon, 94 00:04:37,240 --> 00:04:40,360 Speaker 1: why are voters okay with this sort of thing? Because 95 00:04:40,520 --> 00:04:44,200 Speaker 1: to me, if you're representing my area, I want you 96 00:04:44,240 --> 00:04:47,159 Speaker 1: to know about my area, and therefore you probably should 97 00:04:47,160 --> 00:04:49,440 Speaker 1: live in my area and then go to DC when 98 00:04:49,480 --> 00:04:51,640 Speaker 1: you have to, not the other way around. 99 00:04:52,520 --> 00:04:55,000 Speaker 6: Well, as a longtime resident of California, most of the 100 00:04:55,080 --> 00:04:58,040 Speaker 6: voters there just want free handouts, so they don't care 101 00:04:58,080 --> 00:05:00,520 Speaker 6: where the politician lives as long as they're given away 102 00:05:00,560 --> 00:05:03,240 Speaker 6: the freebies. But I think it's ironic that this is 103 00:05:03,240 --> 00:05:05,279 Speaker 6: what they tried to nail Trump on, which is like 104 00:05:05,440 --> 00:05:10,080 Speaker 6: mortgage fraud. And this shift character was able to get 105 00:05:10,120 --> 00:05:13,960 Speaker 6: a three percent interest loan on his place in DC 106 00:05:14,160 --> 00:05:17,200 Speaker 6: and in Burbank, claiming as two residents, you can only 107 00:05:17,240 --> 00:05:18,840 Speaker 6: have one for that sweetheart of a deal. 108 00:05:19,240 --> 00:05:20,080 Speaker 2: And isn't it true? 109 00:05:20,080 --> 00:05:21,800 Speaker 6: And I you know when the Democrats all have the 110 00:05:21,839 --> 00:05:25,880 Speaker 6: same exact kind of talking point. I remember Jasmine Crockett 111 00:05:25,920 --> 00:05:29,600 Speaker 6: said no one is above the law, and this came 112 00:05:29,640 --> 00:05:33,240 Speaker 6: to Trump, and then Schumer said no one is above 113 00:05:33,360 --> 00:05:36,120 Speaker 6: the law, and then Nancy Pelosi came and said, you 114 00:05:36,160 --> 00:05:38,440 Speaker 6: know when you gi above the law. So if they 115 00:05:38,440 --> 00:05:40,760 Speaker 6: can say it three times, they know they are breaking 116 00:05:40,800 --> 00:05:41,239 Speaker 6: the law. 117 00:05:42,200 --> 00:05:45,480 Speaker 1: Kevon, I don't appreciate you making me stop laughing with 118 00:05:45,520 --> 00:05:50,039 Speaker 1: your fantastic impersonations there. Really don't appreciate that. And also, yeah, 119 00:05:50,040 --> 00:05:52,800 Speaker 1: I like, thanks for thanks for reminding everybody that, yeah. 120 00:05:52,680 --> 00:05:56,039 Speaker 2: This is what they quote unquote nailed President Trump on. 121 00:05:56,120 --> 00:05:58,680 Speaker 1: Hey, this deal that you made where everybody ended up 122 00:05:58,720 --> 00:06:00,599 Speaker 1: walking away happy and there was no victims, and it 123 00:06:00,640 --> 00:06:04,120 Speaker 1: we're gonna get you because you overvalued something or at 124 00:06:04,160 --> 00:06:06,599 Speaker 1: least claimed to have, and which is something that everybody 125 00:06:06,600 --> 00:06:07,800 Speaker 1: does when they're trying to take out money. 126 00:06:07,839 --> 00:06:09,000 Speaker 2: But we will leave that there. 127 00:06:09,200 --> 00:06:12,720 Speaker 1: It's crazy to me how lavishly some of these politicians 128 00:06:12,720 --> 00:06:15,080 Speaker 1: live in DC and the place they represent. They're living 129 00:06:15,120 --> 00:06:17,919 Speaker 1: in a shack or, like you said, David, possibly a 130 00:06:17,960 --> 00:06:20,480 Speaker 1: tent on this street. Here's another thing that I think 131 00:06:20,560 --> 00:06:25,600 Speaker 1: is really interesting. The blowback, so to speak. It's not blowback, 132 00:06:25,640 --> 00:06:28,320 Speaker 1: it's just interesting. I want you to watch this video. 133 00:06:28,600 --> 00:06:30,920 Speaker 1: We played it a couple months ago when it happened. 134 00:06:30,960 --> 00:06:33,720 Speaker 1: There are new developments unfolding. 135 00:06:35,040 --> 00:06:35,839 Speaker 2: Just watch the video. 136 00:06:36,279 --> 00:06:39,799 Speaker 7: Some Carrie hate. We carry the largest trans Pride flag 137 00:06:39,960 --> 00:06:42,800 Speaker 7: to ever be flown in a National park and unfurled 138 00:06:42,839 --> 00:06:45,039 Speaker 7: it on the side of our cap to prove a 139 00:06:45,120 --> 00:06:50,400 Speaker 7: point that trans is natural. The Trump administration and transphobes 140 00:06:50,440 --> 00:06:52,920 Speaker 7: would love to have you believe that being trans is 141 00:06:53,080 --> 00:06:54,080 Speaker 7: even necessarily. 142 00:06:54,080 --> 00:06:55,880 Speaker 2: We don't actually need to watch the entire thing. 143 00:06:56,240 --> 00:06:58,839 Speaker 1: You get the point we played in this video as 144 00:06:58,880 --> 00:07:02,120 Speaker 1: if by having a big flag they've done something. I 145 00:07:02,120 --> 00:07:04,160 Speaker 1: don't know if people know, the arguments that you make 146 00:07:04,279 --> 00:07:09,360 Speaker 1: don't have any more validity if your flag is bigger. David, 147 00:07:10,000 --> 00:07:12,520 Speaker 1: one of the park rangers that participated in that, has 148 00:07:12,600 --> 00:07:16,000 Speaker 1: been fired. The National Park people that employed this young 149 00:07:16,080 --> 00:07:21,840 Speaker 1: lady said, yeah, this clearly goes against protocol. Do you 150 00:07:21,920 --> 00:07:24,360 Speaker 1: think they're gonna get blowback. 151 00:07:23,840 --> 00:07:25,920 Speaker 2: On their end for firing this individual. 152 00:07:26,880 --> 00:07:29,240 Speaker 3: Well, I'm not gonna talk about any blowback. 153 00:07:29,560 --> 00:07:32,680 Speaker 5: What I will talk about is the fact that I 154 00:07:32,720 --> 00:07:35,360 Speaker 5: didn't know there was a trans flag, so I thought 155 00:07:35,400 --> 00:07:37,760 Speaker 5: the Pride flag had all the different colors on it. 156 00:07:37,800 --> 00:07:40,680 Speaker 5: I thought it included trans but apparently now they have 157 00:07:40,760 --> 00:07:43,720 Speaker 5: their own flag. Whi's interesting about this flag is that 158 00:07:43,720 --> 00:07:46,480 Speaker 5: trans people make up like one half of one percent 159 00:07:46,760 --> 00:07:49,320 Speaker 5: of the entire LGBTQ and LL plus and whatever the 160 00:07:49,320 --> 00:07:51,960 Speaker 5: other pluses are, but yet they get their own flag. 161 00:07:52,240 --> 00:07:52,880 Speaker 3: And I will say this. 162 00:07:52,960 --> 00:07:55,200 Speaker 5: They talk about transphobes, and I don't like being called 163 00:07:55,200 --> 00:07:57,800 Speaker 5: a phobic of anything, but I am phobic of somebody 164 00:07:57,880 --> 00:08:00,040 Speaker 5: with a mental illness climbing up a rock and hanging 165 00:08:00,080 --> 00:08:01,800 Speaker 5: a flag that they invented for one half of one 166 00:08:01,800 --> 00:08:03,040 Speaker 5: percent of an entire movement. 167 00:08:03,200 --> 00:08:05,640 Speaker 3: That person scares me because they're probably insane. 168 00:08:05,840 --> 00:08:08,160 Speaker 5: But you know what, like like we just talked about 169 00:08:08,160 --> 00:08:10,480 Speaker 5: in the last segment, no one is above the law, 170 00:08:10,760 --> 00:08:13,760 Speaker 5: and so either are you. And so you can't hang 171 00:08:13,840 --> 00:08:16,640 Speaker 5: flags in national parks without a permit, and so guess what, 172 00:08:16,720 --> 00:08:18,240 Speaker 5: you lose your job. And if it was one of 173 00:08:18,280 --> 00:08:20,280 Speaker 5: us hanging in an American flag or god forbid, a 174 00:08:20,320 --> 00:08:22,480 Speaker 5: Trump flag, you know they would have been probably trying 175 00:08:22,480 --> 00:08:23,760 Speaker 5: to put us in jail for a felony. 176 00:08:23,840 --> 00:08:25,840 Speaker 3: So sorry, not sorry, not crying. 177 00:08:26,240 --> 00:08:27,440 Speaker 2: Yeah, that's a good point. 178 00:08:27,440 --> 00:08:30,840 Speaker 1: If it was a Trump flag life in prison also, David, 179 00:08:30,880 --> 00:08:32,960 Speaker 1: I will say, though I do appreciate them using the 180 00:08:33,000 --> 00:08:36,520 Speaker 1: trance flag, I don't really like the new inclusive flag. 181 00:08:36,600 --> 00:08:38,720 Speaker 1: You know why because there's a brown and black stripe 182 00:08:38,720 --> 00:08:40,679 Speaker 1: on it. So I'm on the flag, Take me off 183 00:08:40,679 --> 00:08:43,079 Speaker 1: your dang flag. Places. 184 00:08:43,600 --> 00:08:47,920 Speaker 5: Congratulations on your inclusion though it's a big day. 185 00:08:48,120 --> 00:08:48,880 Speaker 2: I appreciate it. 186 00:08:48,960 --> 00:08:54,040 Speaker 1: Thank you, Kevon your thoughts on the National Parks saying Nope, 187 00:08:54,160 --> 00:08:56,120 Speaker 1: can't do that. Audios, Bye bye. 188 00:08:56,679 --> 00:08:58,720 Speaker 6: Well, when I was a kid, the mascot was Smoky 189 00:08:58,760 --> 00:09:04,280 Speaker 6: the Bear. Now that's like Shannon the Twink. But that 190 00:09:04,480 --> 00:09:07,840 Speaker 6: article came out and I googled like this story when 191 00:09:07,840 --> 00:09:10,560 Speaker 6: I heard about it, and NBC News did it first, 192 00:09:10,960 --> 00:09:13,560 Speaker 6: and the writing is so clunky. The author for the 193 00:09:13,679 --> 00:09:16,600 Speaker 6: NBC News story, which is the number one Google rated one, 194 00:09:16,679 --> 00:09:17,160 Speaker 6: his name. 195 00:09:17,080 --> 00:09:20,360 Speaker 2: Is Joe Jo. You're a kaba, So does that. 196 00:09:20,360 --> 00:09:22,840 Speaker 3: Have anything to do with you, Joe Bob, No, No. 197 00:09:22,800 --> 00:09:25,920 Speaker 2: It is not. It is okay, good you want to 198 00:09:25,960 --> 00:09:26,240 Speaker 2: read this. 199 00:09:26,600 --> 00:09:29,640 Speaker 6: I want the listeners to understand, like how clunky the 200 00:09:29,679 --> 00:09:30,240 Speaker 6: writing is. 201 00:09:30,480 --> 00:09:30,920 Speaker 3: They wrote. 202 00:09:31,200 --> 00:09:35,240 Speaker 6: Shannon Joslyn, who has been a ranger and a wildlife biologist, 203 00:09:35,720 --> 00:09:39,160 Speaker 6: said they were fired August twelfth, from what they described 204 00:09:39,240 --> 00:09:42,920 Speaker 6: as their dream job. They said part leadership told them 205 00:09:43,360 --> 00:09:46,520 Speaker 6: they failed to demonstrate acceptable conduct in their role. 206 00:09:46,800 --> 00:09:48,480 Speaker 3: And I'm like, how many people are involved in the 207 00:09:48,559 --> 00:09:50,080 Speaker 3: story one. 208 00:09:50,720 --> 00:09:53,120 Speaker 6: Either a he or a she, but they they they 209 00:09:53,400 --> 00:09:55,240 Speaker 6: even in the writing, they're just trying to kind of 210 00:09:55,320 --> 00:09:58,319 Speaker 6: program everyone's mind like this is normal. So there's a 211 00:09:58,360 --> 00:09:59,800 Speaker 6: lot of an agenda behind all this. 212 00:10:00,080 --> 00:10:00,240 Speaker 8: You know. 213 00:10:00,240 --> 00:10:04,120 Speaker 1: I think the term, the clinical term for that is schizophrenia, 214 00:10:05,080 --> 00:10:10,200 Speaker 1: multiple personality disorder, whatever it is. Geez, moving on, and 215 00:10:10,240 --> 00:10:12,320 Speaker 1: I think this is really interesting. I'm just curious about 216 00:10:12,360 --> 00:10:16,240 Speaker 1: your take. We don't need to get into the specifics 217 00:10:16,280 --> 00:10:19,880 Speaker 1: of the NBC Universal spinning off its own new venture, 218 00:10:20,280 --> 00:10:26,439 Speaker 1: which includes channels like E Oxygen and MSDNC. Sorry, MSNBC. 219 00:10:26,679 --> 00:10:30,200 Speaker 1: I think we all saw the rebranding. Ms now is 220 00:10:30,280 --> 00:10:34,559 Speaker 1: the new channel, David. Do you think these channels are 221 00:10:34,559 --> 00:10:38,640 Speaker 1: going to survive because remember MSNBC had a lot of 222 00:10:38,760 --> 00:10:43,480 Speaker 1: back and forth with m NBC, which lended reporting power, 223 00:10:43,559 --> 00:10:47,440 Speaker 1: lended shows, leaded different assets. That's all gone. They're gonna 224 00:10:47,440 --> 00:10:48,960 Speaker 1: have to figure it out on their own in the 225 00:10:49,000 --> 00:10:51,520 Speaker 1: free market. Do you think lib networks like this are 226 00:10:51,559 --> 00:10:53,319 Speaker 1: going to survive monetarily. 227 00:10:54,480 --> 00:10:59,480 Speaker 5: Well, you know, it seems that the market is speaking 228 00:10:59,559 --> 00:11:01,520 Speaker 5: about what they want to watch and not watch them. 229 00:11:01,520 --> 00:11:03,000 Speaker 5: You talk about Colbert, and you talk about some of 230 00:11:03,000 --> 00:11:05,200 Speaker 5: these late night shows being canceled, possibly the view coming 231 00:11:05,280 --> 00:11:08,719 Speaker 5: up next, and people are sick and tired of the unfunny, 232 00:11:09,480 --> 00:11:14,280 Speaker 5: sort of hateful, untrue rhetoric, and so they're not watching 233 00:11:14,360 --> 00:11:15,120 Speaker 5: any of these shows. 234 00:11:15,160 --> 00:11:15,319 Speaker 7: Now. 235 00:11:15,360 --> 00:11:18,719 Speaker 5: Of course, the left is watching MSNBC or now bsn 236 00:11:18,880 --> 00:11:20,520 Speaker 5: BSM or whatever they're calling this. 237 00:11:21,559 --> 00:11:25,240 Speaker 3: They're watching it and that's where they get their news. 238 00:11:25,280 --> 00:11:28,000 Speaker 5: But the rest of America, the mainstream of America, they 239 00:11:28,000 --> 00:11:30,520 Speaker 5: do watch NBC, though, And so where the far far 240 00:11:30,600 --> 00:11:31,359 Speaker 5: left watches. 241 00:11:31,160 --> 00:11:32,920 Speaker 3: MSNBC, the mainstream watches NBC. 242 00:11:33,040 --> 00:11:36,360 Speaker 5: And I believe the MSNBC brand is probably detracting from 243 00:11:36,400 --> 00:11:39,600 Speaker 5: the perceived credibility of NBC, not that they actually have 244 00:11:39,679 --> 00:11:42,080 Speaker 5: any from anybody who knows any better, but that being said, 245 00:11:42,240 --> 00:11:44,160 Speaker 5: it seems like what they're doing is they're sort of 246 00:11:44,200 --> 00:11:46,840 Speaker 5: cutting off the part that's hurting the brand, and I 247 00:11:46,840 --> 00:11:49,520 Speaker 5: do believe that is probably the beginning of the end 248 00:11:49,720 --> 00:11:52,040 Speaker 5: of MSNBC. A lot of their talent that they were 249 00:11:52,040 --> 00:11:54,360 Speaker 5: borrowing back and forth, they've kind of taken the good 250 00:11:54,360 --> 00:11:56,719 Speaker 5: talent to MSNBC, and they've kind of shoved aside the 251 00:11:57,200 --> 00:11:59,640 Speaker 5: poor performing talent. So I think they're just gonna make 252 00:11:59,679 --> 00:12:02,040 Speaker 5: it a trader issue and say, hey, look we're not 253 00:12:02,040 --> 00:12:03,120 Speaker 5: making any money on this network. 254 00:12:03,160 --> 00:12:04,960 Speaker 3: Let's get rid of it. And look look what's happening 255 00:12:05,000 --> 00:12:05,600 Speaker 3: in the CNN two. 256 00:12:05,679 --> 00:12:09,040 Speaker 5: I mean, nobody is watching the leftist media anymore, thank god, 257 00:12:09,080 --> 00:12:11,560 Speaker 5: because of great entertainment that's out there in great media 258 00:12:11,640 --> 00:12:14,320 Speaker 5: that's truthful. We don't have to go watch their garbage anymore. 259 00:12:14,720 --> 00:12:16,760 Speaker 1: Now, when you say talent, I think that actually is 260 00:12:16,800 --> 00:12:19,000 Speaker 1: their problem. They seem to be missing all of it 261 00:12:19,240 --> 00:12:22,199 Speaker 1: across the board. Kavon same question. Do you think lib 262 00:12:22,280 --> 00:12:25,200 Speaker 1: media will survive in an area where they have to 263 00:12:25,280 --> 00:12:29,000 Speaker 1: depend on their own revenue as opposed to taxpayers like 264 00:12:29,559 --> 00:12:33,320 Speaker 1: NPR and PBS or MSNBC that was definitely clinging on 265 00:12:33,400 --> 00:12:35,959 Speaker 1: the NBC Universal to stay afloat. 266 00:12:36,200 --> 00:12:38,080 Speaker 6: Oh, Joe, Bob, that's a great question. And you know 267 00:12:38,080 --> 00:12:39,760 Speaker 6: what's funny, I get accused. I'm sure you do all 268 00:12:39,800 --> 00:12:42,400 Speaker 6: the time of being right wing grifters that are just 269 00:12:42,480 --> 00:12:43,440 Speaker 6: in it for the money. 270 00:12:43,679 --> 00:12:44,920 Speaker 2: I say, what money? 271 00:12:45,120 --> 00:12:47,800 Speaker 3: There is no money on the right You eat. 272 00:12:47,640 --> 00:12:49,559 Speaker 6: What you kill on your own, you get iced out 273 00:12:49,600 --> 00:12:53,439 Speaker 6: of all the mainstream media handouts. But on the left, 274 00:12:53,480 --> 00:12:55,760 Speaker 6: that's the grift, where if you just lie about men 275 00:12:55,760 --> 00:12:59,040 Speaker 6: and women and sports and all the different agenda topics 276 00:12:59,040 --> 00:13:02,840 Speaker 6: and flags on Yosemite, you can get big paychecks for 277 00:13:02,960 --> 00:13:06,800 Speaker 6: ten fifteen years. Look at Stephen Colbert, not funny, not 278 00:13:07,200 --> 00:13:10,640 Speaker 6: viral clips and lasting ten to fifteen years before finally 279 00:13:10,640 --> 00:13:13,880 Speaker 6: getting the acts. Howard Stern was always great until he 280 00:13:13,960 --> 00:13:17,040 Speaker 6: went so far left that now that grift is finally 281 00:13:17,080 --> 00:13:19,079 Speaker 6: drying up. I think it's an amazing time for us 282 00:13:19,120 --> 00:13:22,880 Speaker 6: on the right to see these major legacy media talking 283 00:13:22,920 --> 00:13:25,319 Speaker 6: points just tumbling while we're watching it happen. 284 00:13:25,960 --> 00:13:27,920 Speaker 1: Yeah, I'm glad you pointed that out, because I was 285 00:13:27,960 --> 00:13:29,800 Speaker 1: curious if you were part of the grift and getting 286 00:13:29,800 --> 00:13:31,320 Speaker 1: paid big bucks. 287 00:13:31,360 --> 00:13:33,559 Speaker 2: You know, I don't know. I'm not sure where all 288 00:13:33,600 --> 00:13:35,280 Speaker 2: of those millions of millions. 289 00:13:35,120 --> 00:13:41,199 Speaker 1: Dollars am I I can be bought by the conservative machine, 290 00:13:41,240 --> 00:13:43,520 Speaker 1: And if that's possible, show me the money. 291 00:13:43,520 --> 00:13:45,840 Speaker 2: I'd love to see it. Guys. 292 00:13:46,280 --> 00:13:48,840 Speaker 1: Kvon David will be back after the break to discuss 293 00:13:48,880 --> 00:13:53,800 Speaker 1: Boston clapping back against the Trump administration in a hilarious way. 294 00:13:53,800 --> 00:13:56,480 Speaker 1: And I think political malpractice. Also, you can email the 295 00:13:56,480 --> 00:13:59,080 Speaker 1: show anytime you want. TPT at tpusa dot com. We 296 00:13:59,160 --> 00:14:01,439 Speaker 1: love seeing all of your your emails. TPT Turning Point 297 00:14:01,480 --> 00:14:04,000 Speaker 1: Tonight at TPUSA dot com. We will be back after 298 00:14:04,000 --> 00:14:04,199 Speaker 1: the break. 299 00:14:04,240 --> 00:14:07,400 Speaker 4: Don't go away. 300 00:14:12,559 --> 00:14:15,520 Speaker 9: Got to admire what you've been able to do, not 301 00:14:15,600 --> 00:14:18,959 Speaker 9: to weaponize, but to organize on these college campuses. 302 00:14:19,240 --> 00:14:22,720 Speaker 8: At Turning Point USA, we've spent thirteen years building the machine, 303 00:14:22,760 --> 00:14:25,600 Speaker 8: and last year we sought payoff. Our grassroots army is 304 00:14:25,640 --> 00:14:28,120 Speaker 8: making a real difference. Help us keep the momentum going. 305 00:14:28,320 --> 00:14:32,920 Speaker 8: Donate today and keep TPUSA strong on campuses across America. 306 00:14:33,040 --> 00:14:35,200 Speaker 10: And for a gift of any amount, you'll receive your 307 00:14:35,200 --> 00:14:40,920 Speaker 10: big Gov sucks cooler claim yours today. 308 00:14:45,000 --> 00:14:47,400 Speaker 1: Welcome back to Turning Point Tonight. We're together. We are 309 00:14:47,520 --> 00:14:50,040 Speaker 1: charting the course of America's cultural comeback. Remember, you can 310 00:14:50,040 --> 00:14:52,680 Speaker 1: email the show anytime you want. TPT at TPUSA dot com. 311 00:14:52,680 --> 00:14:55,120 Speaker 1: We welcome all emails. Whether you agree with everything we 312 00:14:55,160 --> 00:14:58,480 Speaker 1: say or you're wrong, doesn't matter. TPT at tpusa dot com. 313 00:14:58,520 --> 00:15:00,800 Speaker 1: Let's check in with Turning Points. White House Correspondent Monica 314 00:15:00,840 --> 00:15:04,640 Speaker 1: Page at the White House, Monica, this set well yesterday 315 00:15:04,840 --> 00:15:09,120 Speaker 1: I think was one of the most underrated. Holy cow, 316 00:15:09,160 --> 00:15:11,920 Speaker 1: this is happening. I don't think there's ever been that 317 00:15:12,080 --> 00:15:15,000 Speaker 1: many world leaders at the White House at one time. 318 00:15:15,640 --> 00:15:17,400 Speaker 2: We've kind of had a day to let it fizzle out. 319 00:15:17,440 --> 00:15:18,960 Speaker 1: Not much going on at the White House now, but 320 00:15:19,040 --> 00:15:21,640 Speaker 1: kind of is what has the last twenty four hours 321 00:15:21,680 --> 00:15:24,040 Speaker 1: been like on the ground at the White House. What's 322 00:15:24,120 --> 00:15:28,200 Speaker 1: kind of come of this huge meeting? Phillison, Well, it's. 323 00:15:28,040 --> 00:15:30,080 Speaker 11: Definitely been a whirlwind here at the White House, Joe, Bob, 324 00:15:30,120 --> 00:15:32,720 Speaker 11: there's so much good news coming out, essentially, but the 325 00:15:32,720 --> 00:15:35,600 Speaker 11: mainstream media likes to say, you know, I don't know 326 00:15:35,680 --> 00:15:39,000 Speaker 11: about if this meeting can happen between Zelenski and Putin, 327 00:15:39,120 --> 00:15:42,000 Speaker 11: but essentially the only president who can ever get this 328 00:15:42,080 --> 00:15:45,160 Speaker 11: done is President Trump. And what we saw yesterday was 329 00:15:45,400 --> 00:15:48,200 Speaker 11: a conglomerate of world leaders coming together and all in 330 00:15:48,280 --> 00:15:51,400 Speaker 11: agreeance that the killing has to stop, that there will 331 00:15:51,400 --> 00:15:54,840 Speaker 11: not be any American boots on the ground in Ukraine, 332 00:15:55,760 --> 00:15:59,400 Speaker 11: and that Ukraine will not be part of NATO. And 333 00:15:59,440 --> 00:16:01,240 Speaker 11: they just said, actually want this war to come to 334 00:16:01,280 --> 00:16:03,160 Speaker 11: an end. This has gone on for far too long, 335 00:16:03,520 --> 00:16:06,160 Speaker 11: and it was nice and refreshing to see the amount 336 00:16:06,200 --> 00:16:08,320 Speaker 11: of leaders come to the table and want to meet 337 00:16:08,560 --> 00:16:10,680 Speaker 11: with President Trump, and he actually got Putin on the 338 00:16:10,680 --> 00:16:14,040 Speaker 11: phone yesterday in front of the world leaders on speaker phone, 339 00:16:14,040 --> 00:16:16,920 Speaker 11: so they can see for themselves that this is happening 340 00:16:17,000 --> 00:16:20,000 Speaker 11: in real time. So that was a huge takeaway what 341 00:16:20,040 --> 00:16:23,120 Speaker 11: we saw yesterday. And moving forward now, as I've just 342 00:16:23,160 --> 00:16:26,800 Speaker 11: previously mentioned, there will now be a bilateral meeting between 343 00:16:26,920 --> 00:16:30,760 Speaker 11: Putin and Zelenski. Now, this administration is such such a 344 00:16:30,760 --> 00:16:33,800 Speaker 11: great job in not giving away too much information as 345 00:16:33,800 --> 00:16:35,800 Speaker 11: it pertains to what comes next. They're not going to 346 00:16:35,840 --> 00:16:40,440 Speaker 11: give away location, not necessarily giving away time, place, whatever 347 00:16:40,560 --> 00:16:43,560 Speaker 11: this may look like. But these two leaders coming together, 348 00:16:43,640 --> 00:16:46,000 Speaker 11: which by the way, they haven't been face to face 349 00:16:46,080 --> 00:16:49,080 Speaker 11: since twenty nineteen during some summit in Paris, but they 350 00:16:49,080 --> 00:16:51,480 Speaker 11: weren't alone face to face. They were with the leaders 351 00:16:51,480 --> 00:16:55,320 Speaker 11: of Germany and France during that specific meeting. But this 352 00:16:55,440 --> 00:16:58,200 Speaker 11: may be face to face. I don't know if it's 353 00:16:58,240 --> 00:17:00,600 Speaker 11: gonna be solo between the two of them, where they're 354 00:17:00,600 --> 00:17:03,880 Speaker 11: going to have their each respective you know, aids and 355 00:17:03,960 --> 00:17:07,960 Speaker 11: members of their respective governments there, but it's going to 356 00:17:08,040 --> 00:17:12,000 Speaker 11: be definitely something interesting to watch moving forward. So Trump 357 00:17:12,040 --> 00:17:14,040 Speaker 11: has said just just this morning on Fox and Friends 358 00:17:14,040 --> 00:17:16,920 Speaker 11: that there needs to be some flexibility on both sides 359 00:17:16,960 --> 00:17:18,760 Speaker 11: as well. You know, Zelenski needs to be flexible and 360 00:17:18,760 --> 00:17:20,600 Speaker 11: coming to the table and setting up this meeting, and 361 00:17:20,640 --> 00:17:21,720 Speaker 11: so does Bladimir Putin. 362 00:17:22,160 --> 00:17:25,160 Speaker 1: You know, Monica, I recognize that you're not the president, 363 00:17:25,160 --> 00:17:29,560 Speaker 1: but I'm just curious you're kind of gauging the vibe 364 00:17:29,600 --> 00:17:32,480 Speaker 1: of the White House, the vibe administration. I realized that 365 00:17:32,520 --> 00:17:35,840 Speaker 1: this is probably a super rudimentary question, but especially considering 366 00:17:35,840 --> 00:17:39,680 Speaker 1: the last administration where nothing was done, Why does President 367 00:17:39,720 --> 00:17:42,399 Speaker 1: Trump care so much about this to have all of 368 00:17:42,440 --> 00:17:46,000 Speaker 1: these just groundbreaking meetings with different world leaders coming to 369 00:17:46,040 --> 00:17:48,080 Speaker 1: the White House, going to meet with Putin? Why does 370 00:17:48,160 --> 00:17:49,160 Speaker 1: it matter so much to him? 371 00:17:50,200 --> 00:17:52,280 Speaker 11: Well, that's a question that it seems like the mainstream 372 00:17:52,320 --> 00:17:54,880 Speaker 11: media just really can't answer. But if you have common sense, 373 00:17:55,040 --> 00:17:58,200 Speaker 11: you realize that President Trump, he's a man for everybody. 374 00:17:58,200 --> 00:18:00,880 Speaker 11: He's a president for everybody. He wants people to stop 375 00:18:00,960 --> 00:18:02,920 Speaker 11: killing each other. He wants to be able to make 376 00:18:02,960 --> 00:18:06,080 Speaker 11: deals with other countries and help our country prosper and 377 00:18:06,200 --> 00:18:09,200 Speaker 11: have others be able to prosper in their own countries 378 00:18:09,240 --> 00:18:11,960 Speaker 11: as well. This is common sense. He wants the killing 379 00:18:11,960 --> 00:18:14,760 Speaker 11: to stop. He wants global peace, and this has really 380 00:18:14,840 --> 00:18:17,480 Speaker 11: become something that's been following him around and following the 381 00:18:17,480 --> 00:18:20,439 Speaker 11: previous president around quite some time, and there was no 382 00:18:20,560 --> 00:18:24,840 Speaker 11: progress made. Trump is showing true progress with this, and 383 00:18:25,080 --> 00:18:27,560 Speaker 11: if he can get this deal down in peace with 384 00:18:27,680 --> 00:18:30,479 Speaker 11: Russia Ukraine, this could be seriously one of the biggest 385 00:18:30,480 --> 00:18:32,040 Speaker 11: things of this administration of. 386 00:18:31,960 --> 00:18:34,800 Speaker 1: His presidency totally, and I really only asked that because 387 00:18:34,800 --> 00:18:37,600 Speaker 1: it is fascinating to watch the media go through hoops 388 00:18:37,600 --> 00:18:40,720 Speaker 1: about criticizing every little tactile movement like the last I 389 00:18:40,760 --> 00:18:44,280 Speaker 1: didn't do anything. At least, the very very very very least, 390 00:18:44,320 --> 00:18:47,399 Speaker 1: President Trump is trying to stop the killing, which I 391 00:18:47,440 --> 00:18:49,639 Speaker 1: think everybody agrees wants to happen. 392 00:18:49,640 --> 00:18:51,000 Speaker 2: Monica page go ahead. 393 00:18:51,080 --> 00:18:55,320 Speaker 11: I will say one more thing. It's fascinating how the 394 00:18:55,359 --> 00:18:58,200 Speaker 11: mainstream media wants so badly for President Trump to put 395 00:18:58,200 --> 00:19:00,960 Speaker 11: boots on the ground. They just want the satisfaction of 396 00:19:01,000 --> 00:19:03,840 Speaker 11: being able to say Trump started World War III, Trump 397 00:19:03,880 --> 00:19:06,919 Speaker 11: was getting America involved. It's not gonna happen. The complete 398 00:19:06,920 --> 00:19:09,800 Speaker 11: opposite's going to happen. So it'll be very very interesting 399 00:19:09,840 --> 00:19:11,320 Speaker 11: to see the peace coming to the table and how 400 00:19:11,320 --> 00:19:12,760 Speaker 11: the mainstream media will react to it. 401 00:19:13,160 --> 00:19:15,720 Speaker 1: Totally awesome. Manica Page turning Voice, White House Correspondent. Thanks 402 00:19:15,720 --> 00:19:17,920 Speaker 1: so much for joining us. We'll talk tomorrow. 403 00:19:18,640 --> 00:19:19,800 Speaker 2: Thanks guys, Thank you. 404 00:19:20,640 --> 00:19:22,560 Speaker 1: Now, I hate to put a damper on what is 405 00:19:22,640 --> 00:19:26,520 Speaker 1: otherwise a fantastically lighthearted and fun panel, but we do 406 00:19:26,600 --> 00:19:29,360 Speaker 1: have to talk about this. This is a horrible instance 407 00:19:29,480 --> 00:19:33,240 Speaker 1: incident that happens in Florida where an illegal who was 408 00:19:33,320 --> 00:19:36,880 Speaker 1: in the country legally waiting for an asylum claim, even 409 00:19:36,920 --> 00:19:40,080 Speaker 1: though the Trump administration had him set for fast track 410 00:19:40,640 --> 00:19:44,480 Speaker 1: deportation in twenty eighteen, was for some reason given a 411 00:19:44,520 --> 00:19:47,080 Speaker 1: CDL to drive a big rig truck and was making 412 00:19:47,119 --> 00:19:50,720 Speaker 1: an explicable illegal U turn in the state of Florida 413 00:19:50,720 --> 00:19:54,280 Speaker 1: and ended up, unfortunately killing three people in an accident. 414 00:19:54,520 --> 00:19:56,320 Speaker 1: Why this guy was eating in the country, let alone 415 00:19:56,359 --> 00:19:58,840 Speaker 1: driving a big rig is beyond me. But let's bring 416 00:19:58,840 --> 00:20:02,320 Speaker 1: our panel back to discuss this. David Pollack Cavon. Guy, David, 417 00:20:02,520 --> 00:20:04,200 Speaker 1: you know we've all seen the video, I think the 418 00:20:04,240 --> 00:20:05,320 Speaker 1: video of play in the B role. 419 00:20:05,560 --> 00:20:07,080 Speaker 2: It is awful. It's disgusting. 420 00:20:07,560 --> 00:20:10,960 Speaker 1: How in the world one was this guy still in 421 00:20:11,000 --> 00:20:13,640 Speaker 1: the country with our broken asylum system that people take 422 00:20:13,680 --> 00:20:16,160 Speaker 1: advantage of. And two, how the heck, did he get 423 00:20:16,160 --> 00:20:20,120 Speaker 1: a license to drive a truck like this, Well. 424 00:20:20,080 --> 00:20:20,720 Speaker 3: Right out the gate. 425 00:20:20,760 --> 00:20:23,240 Speaker 5: To be fair, that's how everybody drives in Florida, so 426 00:20:23,280 --> 00:20:26,960 Speaker 5: that's not that uncommon. Unfortunately, now there's plenty of bad 427 00:20:26,960 --> 00:20:30,240 Speaker 5: American drivers, so we certainly don't need to import other 428 00:20:30,320 --> 00:20:33,000 Speaker 5: bad drivers, especially illegally, to drive. 429 00:20:32,920 --> 00:20:34,040 Speaker 3: Like this on Florida roads. 430 00:20:34,200 --> 00:20:38,320 Speaker 5: Look, this guy was set for deportation. He was denied 431 00:20:38,560 --> 00:20:41,000 Speaker 5: a work permit by the Trump administration, then given a 432 00:20:41,000 --> 00:20:44,520 Speaker 5: work permit by the Biden administration, then giving a CDL 433 00:20:44,880 --> 00:20:48,120 Speaker 5: in California, where he took it to Flora d and 434 00:20:48,160 --> 00:20:51,439 Speaker 5: then he drove like this, killing three innocent people. This 435 00:20:51,640 --> 00:20:55,520 Speaker 5: just highlights the danger of Joe Biden's open border policy 436 00:20:55,720 --> 00:20:58,920 Speaker 5: and shows you how important it is that we get 437 00:20:58,920 --> 00:21:01,520 Speaker 5: some of these people out of the country that shouldn't 438 00:21:01,560 --> 00:21:04,119 Speaker 5: be here. Yes, he was out on parole or bail 439 00:21:04,240 --> 00:21:06,560 Speaker 5: or yeah, they call it parole, but it's technically waiting 440 00:21:06,600 --> 00:21:08,200 Speaker 5: for his asylum here and we didn't have him. I 441 00:21:08,240 --> 00:21:10,880 Speaker 5: think I know the outcome of his asylum hearing once 442 00:21:10,880 --> 00:21:12,800 Speaker 5: it's held. But this is why we need to fast 443 00:21:12,840 --> 00:21:14,760 Speaker 5: track these things and get these people out. These are 444 00:21:14,760 --> 00:21:17,120 Speaker 5: not people that are coming here and doing good things 445 00:21:17,119 --> 00:21:17,840 Speaker 5: for our communities. 446 00:21:17,880 --> 00:21:19,480 Speaker 3: These are people that are killing in US, in Americans, 447 00:21:19,480 --> 00:21:20,239 Speaker 3: and I'm tired of it. 448 00:21:20,320 --> 00:21:21,760 Speaker 5: And I know we'll talk with it later about what's 449 00:21:21,800 --> 00:21:23,880 Speaker 5: going on in Boston, But it's like the left can't 450 00:21:23,960 --> 00:21:26,639 Speaker 5: get enough of criminals, whether it's DC or whether it's 451 00:21:26,720 --> 00:21:29,760 Speaker 5: legal aliens committing crimes. I just don't understand how they 452 00:21:29,760 --> 00:21:32,240 Speaker 5: want these people to destroy our communities over Americans. 453 00:21:32,280 --> 00:21:32,959 Speaker 3: I just don't get it. 454 00:21:33,440 --> 00:21:35,080 Speaker 1: Yeah, I wonder if I wonder if this guy was 455 00:21:35,119 --> 00:21:37,679 Speaker 1: a Maryland father. That's probably why he was an advocate 456 00:21:37,720 --> 00:21:40,600 Speaker 1: in Florida to stay in the country despite being here illegally. 457 00:21:40,920 --> 00:21:43,440 Speaker 1: Cavon your thoughts on the terrible situation. 458 00:21:43,960 --> 00:21:45,480 Speaker 6: Yeah, not much you can be said about it. But 459 00:21:45,520 --> 00:21:47,960 Speaker 6: I do have a Latino comedian Buddy, and he was 460 00:21:48,000 --> 00:21:50,480 Speaker 6: at a truck stop doing a road gig and he 461 00:21:50,520 --> 00:21:52,920 Speaker 6: saw a Mexican guy pull in in a big rig 462 00:21:52,960 --> 00:21:54,359 Speaker 6: and jump out and he goes the kid looked like 463 00:21:54,359 --> 00:21:57,440 Speaker 6: he was nineteen years old. He goes, hey, buddy, Kibusa, 464 00:21:57,480 --> 00:21:59,960 Speaker 6: you know you got a license. He goes, no, non license, 465 00:22:00,560 --> 00:22:02,040 Speaker 6: and he said, well, how do you drive? He goes 466 00:22:02,280 --> 00:22:04,879 Speaker 6: the boss told me, if I get an accident, just run. 467 00:22:05,720 --> 00:22:07,840 Speaker 6: So that's the plan for a lot of these trucking 468 00:22:07,880 --> 00:22:10,280 Speaker 6: companies to save money, is you just if you get 469 00:22:10,280 --> 00:22:11,800 Speaker 6: in a wreck that you can get away from, just 470 00:22:11,880 --> 00:22:13,960 Speaker 6: take off into the night, and then he'll report the 471 00:22:13,960 --> 00:22:16,800 Speaker 6: truck maybe stolen or something. And that's just kind of 472 00:22:16,800 --> 00:22:19,080 Speaker 6: the way they're saving money, and they just hope nothing 473 00:22:19,119 --> 00:22:19,800 Speaker 6: bad happens. 474 00:22:20,480 --> 00:22:23,520 Speaker 1: Yeah, I you know, imagining just from a show perspective, 475 00:22:23,520 --> 00:22:26,520 Speaker 1: probably an anecdotal experience, but yeah, that sort of thing happens. 476 00:22:26,560 --> 00:22:29,840 Speaker 1: Like it's hard to figure out a way that that 477 00:22:30,119 --> 00:22:33,479 Speaker 1: wouldn't happen in a a in a system that has 478 00:22:33,520 --> 00:22:34,880 Speaker 1: been so broken for so long. 479 00:22:35,240 --> 00:22:35,760 Speaker 2: Ridiculous. 480 00:22:35,760 --> 00:22:39,920 Speaker 1: Speaking of broken systems, the Boston of mayor one Mayor 481 00:22:40,080 --> 00:22:45,280 Speaker 1: Michelle Wu David. I always say this about our lib 482 00:22:45,320 --> 00:22:48,280 Speaker 1: friends on the left. They're either stupid or lying. I 483 00:22:48,320 --> 00:22:50,919 Speaker 1: can't tell with her because she seems to be lying, 484 00:22:51,000 --> 00:22:53,480 Speaker 1: because she doesn't seem to be a dumb person except 485 00:22:53,560 --> 00:22:55,040 Speaker 1: for this, And this is not the direction that you 486 00:22:55,119 --> 00:22:55,680 Speaker 1: probably think. 487 00:22:55,680 --> 00:22:57,120 Speaker 2: I'm gonna go here. I want you to. 488 00:22:57,040 --> 00:22:59,000 Speaker 1: Play this clip and then two guys who I think 489 00:22:59,040 --> 00:23:01,320 Speaker 1: are pretty well versed in the entertainment world. I'd like 490 00:23:01,359 --> 00:23:03,600 Speaker 1: to get their comment. Watch this and we'll discuss. 491 00:23:04,280 --> 00:23:08,960 Speaker 12: The US Attorney General asked for a response by today. 492 00:23:09,359 --> 00:23:14,280 Speaker 12: So here it is, stop attacking our cities to hide 493 00:23:14,359 --> 00:23:15,960 Speaker 12: your administration's failures. 494 00:23:16,880 --> 00:23:17,440 Speaker 11: Unlike that. 495 00:23:17,640 --> 00:23:21,320 Speaker 2: Okay, we all I need uh guys. 496 00:23:22,440 --> 00:23:26,760 Speaker 1: The Libs are so good at like the punchline, not 497 00:23:26,800 --> 00:23:29,920 Speaker 1: necessarily in a joke form, but like the US Attorney 498 00:23:30,000 --> 00:23:36,159 Speaker 1: General wanted a response, here's our response. Hell no, Instead, David, 499 00:23:36,200 --> 00:23:39,440 Speaker 1: she goes your administration is trying to get to our 500 00:23:39,480 --> 00:23:43,639 Speaker 1: city because we're following the laws. What this is what 501 00:23:43,680 --> 00:23:47,000 Speaker 1: makes me think she might actually be dumb, not just evil, 502 00:23:47,119 --> 00:23:49,800 Speaker 1: but also just dumb. I don't know what would you 503 00:23:49,840 --> 00:23:51,760 Speaker 1: have said in that situation, and also you know your 504 00:23:51,760 --> 00:23:54,160 Speaker 1: further thoughts on the situation in Bosda as a whole. 505 00:23:55,080 --> 00:23:57,160 Speaker 5: Well, look, I think they're both. I think some are dumb, 506 00:23:57,160 --> 00:23:59,240 Speaker 5: and I think some are liars. Some are both, and 507 00:23:59,600 --> 00:24:03,960 Speaker 5: this is a perfect example of both. But here's the reality. 508 00:24:04,080 --> 00:24:07,560 Speaker 5: I don't understand. If you look at Karen Bass in California, 509 00:24:07,720 --> 00:24:09,479 Speaker 5: or you look at Gavin Newsom and you look at 510 00:24:09,480 --> 00:24:12,720 Speaker 5: this lady, you have all these people who act like 511 00:24:13,000 --> 00:24:17,600 Speaker 5: they're doing some sort of social justice thing by protecting 512 00:24:17,760 --> 00:24:21,080 Speaker 5: illegal aliens and allowing them to commit crimes. You literally 513 00:24:21,119 --> 00:24:25,159 Speaker 5: had people protesting in DC to stop them from enforcing 514 00:24:25,440 --> 00:24:28,160 Speaker 5: the law and arresting criminals and making DC safe. 515 00:24:28,359 --> 00:24:28,840 Speaker 3: Same thing. 516 00:24:29,080 --> 00:24:31,640 Speaker 5: You have literally no godways over the last two months 517 00:24:31,680 --> 00:24:34,080 Speaker 5: at the border, border security is an all time high. 518 00:24:34,720 --> 00:24:36,919 Speaker 5: Crime committed by illegal animals is going down. People are 519 00:24:36,960 --> 00:24:39,240 Speaker 5: self deporting. They get the message, and America is not 520 00:24:39,280 --> 00:24:41,760 Speaker 5: open for crime anymore. And then you have idiots like this, 521 00:24:42,119 --> 00:24:45,359 Speaker 5: But no, it's the federal government. These are bad guys 522 00:24:45,560 --> 00:24:47,080 Speaker 5: that are trying to force the laws. If they didn't 523 00:24:47,119 --> 00:24:49,399 Speaker 5: pay attention to the last election, they're certainly going to 524 00:24:49,400 --> 00:24:51,880 Speaker 5: pay attention to the next one. The American people do 525 00:24:51,960 --> 00:24:55,320 Speaker 5: not agree with this sort of politics that we favor 526 00:24:55,440 --> 00:24:56,800 Speaker 5: illegals over Americans. 527 00:24:56,840 --> 00:24:57,720 Speaker 3: It's kind of crazy. 528 00:24:58,320 --> 00:25:00,280 Speaker 2: Well, it's too It's interesting, yvon. 529 00:25:00,560 --> 00:25:02,520 Speaker 1: One of the things that I think Tom Homan makes 530 00:25:02,560 --> 00:25:05,159 Speaker 1: a great point about this is that, hey, if you 531 00:25:05,200 --> 00:25:07,960 Speaker 1: want to protest, anybody protests Congress, all we're doing is 532 00:25:08,040 --> 00:25:11,160 Speaker 1: following the law. And then you have people like Mayor 533 00:25:11,200 --> 00:25:13,520 Speaker 1: Michelle Wu who says, well, we're going. 534 00:25:13,480 --> 00:25:17,720 Speaker 2: To stand against what the law? What is your plan? 535 00:25:17,840 --> 00:25:20,600 Speaker 2: There's going through her head. 536 00:25:20,720 --> 00:25:23,640 Speaker 6: Yeah, well, whatever, the left is saying, just think the opposite. 537 00:25:23,680 --> 00:25:27,280 Speaker 6: You know, black lives matter, hurt people more. Planned parenthood 538 00:25:27,600 --> 00:25:29,600 Speaker 6: is a chance to get away from parenthood. And of 539 00:25:29,600 --> 00:25:34,400 Speaker 6: course gender affirmation care is gender denial surgery. So when 540 00:25:34,440 --> 00:25:37,040 Speaker 6: she's like, stop, we're going to enforce this, make it out, 541 00:25:37,440 --> 00:25:39,680 Speaker 6: just know that the opposite is probably the correct path. 542 00:25:39,920 --> 00:25:42,600 Speaker 6: I'm so glad that we're actually enforcing the laws because 543 00:25:42,600 --> 00:25:43,000 Speaker 6: they keep. 544 00:25:42,920 --> 00:25:44,000 Speaker 2: Wanting to add new laws. 545 00:25:44,040 --> 00:25:45,960 Speaker 6: We don't need any new laws. The laws are getting 546 00:25:45,960 --> 00:25:48,960 Speaker 6: so commoluted on the books. Just enforce the basic laws 547 00:25:49,000 --> 00:25:49,560 Speaker 6: we have now. 548 00:25:50,320 --> 00:25:53,199 Speaker 1: Yeah, it seems to be not all that complicated, and 549 00:25:53,280 --> 00:25:55,760 Speaker 1: for some reason a bunch of the Libs keep getting 550 00:25:55,760 --> 00:25:59,000 Speaker 1: in the way of trying to just do what Congress 551 00:25:59,000 --> 00:26:01,439 Speaker 1: has stipulated is your job to do. 552 00:26:01,640 --> 00:26:02,720 Speaker 2: It shouldn't be that difficult. 553 00:26:02,760 --> 00:26:05,320 Speaker 1: David Pollackkavon, guys, thanks so much for joining. Really appreciate 554 00:26:05,320 --> 00:26:06,000 Speaker 1: you taking the time. 555 00:26:06,520 --> 00:26:08,360 Speaker 2: Thank you, thank you, thank you. 556 00:26:08,960 --> 00:26:10,960 Speaker 1: Remember you can email the show anytime you want tpt 557 00:26:11,080 --> 00:26:13,680 Speaker 1: at tpusa dot com. We love seeing all your emails. 558 00:26:13,720 --> 00:26:15,520 Speaker 1: Send us some funny memes, some puny videos, which we 559 00:26:15,600 --> 00:26:18,479 Speaker 1: will play in the segment after What's coming up. Al 560 00:26:18,600 --> 00:26:22,880 Speaker 1: Clar's Culture Apothecary podcast, one of tpusa's number one rated podcast, 561 00:26:22,920 --> 00:26:27,080 Speaker 1: Don't goil, It'll be right back after the break. 562 00:26:31,240 --> 00:26:34,199 Speaker 9: Got to admire what you've been able to do, not 563 00:26:34,240 --> 00:26:38,199 Speaker 9: to weaponize, but to organize on these college campuses. 564 00:26:37,920 --> 00:26:41,399 Speaker 8: At Turning Point USA. We've spent thirteen years building the machine, 565 00:26:41,440 --> 00:26:44,280 Speaker 8: and last year we sought payoff. Our grassroots army is 566 00:26:44,280 --> 00:26:46,800 Speaker 8: making a real difference. Help us keep the momentum going. 567 00:26:47,000 --> 00:26:51,840 Speaker 8: Donate today and keep TPUSA strong on campuses across America, and. 568 00:26:51,840 --> 00:26:54,080 Speaker 10: For a gift of any amount, you'll receive your big 569 00:26:54,119 --> 00:27:00,400 Speaker 10: GOV Sucks cooler claim yours today. 570 00:27:01,680 --> 00:27:04,440 Speaker 13: So here's a question, because you brought up Jenny McCarthy. 571 00:27:04,600 --> 00:27:07,080 Speaker 13: When Jenny McCarthy back in the day and Jim Carrey 572 00:27:07,119 --> 00:27:09,680 Speaker 13: were going on this press who were sounding the alarms 573 00:27:09,720 --> 00:27:15,359 Speaker 13: on vaccines when Maha happened. It's interesting to me because 574 00:27:15,440 --> 00:27:19,600 Speaker 13: Jim Carrey hates Trump, but then Maha happens. I mean, 575 00:27:19,640 --> 00:27:21,879 Speaker 13: did you ever hear anything about this, Like do you 576 00:27:21,880 --> 00:27:23,520 Speaker 13: think secretly he held his nose. 577 00:27:23,400 --> 00:27:26,320 Speaker 14: And voted for Trump because of Maha. I'm dying to know. 578 00:27:26,600 --> 00:27:28,879 Speaker 15: I really don't know. Jimmy Carey I think would be 579 00:27:28,920 --> 00:27:31,040 Speaker 15: probably one of the hardest people to read on the 580 00:27:31,080 --> 00:27:36,000 Speaker 15: earth right now. I am good friends with Jenny McCarthy, 581 00:27:36,040 --> 00:27:40,199 Speaker 15: though okay, and I didn't you know, she wouldn't let 582 00:27:40,280 --> 00:27:43,240 Speaker 15: me know that she keeps whatever the relationship she still 583 00:27:43,240 --> 00:27:46,760 Speaker 15: has with Jim private. But I will say I just 584 00:27:46,760 --> 00:27:51,160 Speaker 15: want to say about her that she's one of the biggest, 585 00:27:51,720 --> 00:27:56,720 Speaker 15: you know, superheroes I've ever met. She literally put her 586 00:27:56,960 --> 00:27:59,760 Speaker 15: entire career on the line and had it destroyed trying 587 00:27:59,840 --> 00:28:02,560 Speaker 15: to warn other parents of what she had just experienced, 588 00:28:02,600 --> 00:28:05,800 Speaker 15: what she saw with her own eyes. And you still 589 00:28:05,800 --> 00:28:09,280 Speaker 15: when the topic comes up the life Playboy centerfold Janie McCarthy, 590 00:28:09,320 --> 00:28:11,760 Speaker 15: forget about all the other things she's done. It's always 591 00:28:11,800 --> 00:28:14,159 Speaker 15: tried to demean her and then say she has an 592 00:28:14,200 --> 00:28:17,560 Speaker 15: issue with vaccines. It it's been amazing to watch her 593 00:28:17,600 --> 00:28:22,000 Speaker 15: recover her career the way she has after having been devastated. 594 00:28:22,440 --> 00:28:25,080 Speaker 15: But she didn't have the advantage of a COVID. She 595 00:28:25,119 --> 00:28:27,720 Speaker 15: didn't have the advantage of an event that we all 596 00:28:27,800 --> 00:28:31,920 Speaker 15: experienced that brought in twenty fifty well really one third 597 00:28:31,920 --> 00:28:34,920 Speaker 15: of all doctors that didn't take the vaccine. So suddenly 598 00:28:35,320 --> 00:28:38,840 Speaker 15: Peter mcculloff and doctor Robert Malone and Pierre Corey and 599 00:28:38,920 --> 00:28:43,720 Speaker 15: all these guys. They came together safety in numbers. Jannie 600 00:28:43,760 --> 00:28:47,400 Speaker 15: McCarthy tried to do this all by herself, and frankly, 601 00:28:47,520 --> 00:28:49,800 Speaker 15: I think changed a lot of people's lives. I'm sure 602 00:28:49,840 --> 00:28:53,920 Speaker 15: she saved millions of children from vaccine injury, but had 603 00:28:53,920 --> 00:28:58,160 Speaker 15: her career destroyed because of it. Because she works in 604 00:28:58,160 --> 00:28:59,960 Speaker 15: television and she works for pharma. 605 00:29:00,200 --> 00:29:01,840 Speaker 14: I wonder if she'd come on my show I should 606 00:29:01,840 --> 00:29:02,160 Speaker 14: try to. 607 00:29:02,280 --> 00:29:04,360 Speaker 15: Change She definitely would. I would love to talk to 608 00:29:04,840 --> 00:29:05,680 Speaker 15: I'll help connect that. 609 00:29:05,760 --> 00:29:06,960 Speaker 14: Okay, Well, that's good. 610 00:29:07,040 --> 00:29:07,720 Speaker 16: She's amazing. 611 00:29:07,920 --> 00:29:12,680 Speaker 13: If vaccines truly bypass the gold standard testing required of 612 00:29:12,880 --> 00:29:16,719 Speaker 13: other drugs, how do you explain how regulators then legally 613 00:29:16,720 --> 00:29:17,440 Speaker 13: approve them. 614 00:29:18,440 --> 00:29:21,280 Speaker 15: I can't really, right, I mean, it's one of the 615 00:29:21,320 --> 00:29:24,280 Speaker 15: things that's so shocking. All the way through this process, 616 00:29:24,360 --> 00:29:26,600 Speaker 15: people will say to me, you know, are you telling 617 00:29:26,600 --> 00:29:29,320 Speaker 15: me you know more about vaccines than my doctor? You 618 00:29:29,360 --> 00:29:32,160 Speaker 15: know that my doctor's trying to hurt my children. I said, no, 619 00:29:32,240 --> 00:29:35,440 Speaker 15: your doctor's not trying to hurt your children. Your doctor, though, 620 00:29:35,600 --> 00:29:38,800 Speaker 15: doesn't know anything about vaccines. And yes, I'm telling you 621 00:29:38,840 --> 00:29:43,320 Speaker 15: because I've done a ten year investigation into vaccines, only. 622 00:29:43,280 --> 00:29:46,280 Speaker 13: How can you sit here and say doctors don't know 623 00:29:46,440 --> 00:29:47,680 Speaker 13: anything about vaccines. 624 00:29:47,960 --> 00:29:51,080 Speaker 15: I could play you a video from the WHO meeting 625 00:29:51,120 --> 00:29:54,200 Speaker 15: in twenty nineteen that brought in all the specialists and 626 00:29:54,240 --> 00:29:56,800 Speaker 15: scientists from around the world, and the entire meeting was 627 00:29:56,840 --> 00:30:00,720 Speaker 15: to do one thing to stop vaccine hesitancy. At that point, 628 00:30:00,720 --> 00:30:04,000 Speaker 15: they were saying anti vactionsses twenty nineteen, so I'd been 629 00:30:04,040 --> 00:30:07,440 Speaker 15: at it since twenty sixteen. With vax we were really 630 00:30:07,480 --> 00:30:11,959 Speaker 15: starting to affect the thoughts system around vaccines, and they 631 00:30:11,960 --> 00:30:14,880 Speaker 15: said anti vaxxers are a top ten global health threat. 632 00:30:15,120 --> 00:30:17,720 Speaker 15: They had an entire meeting about it. And I'll play 633 00:30:17,800 --> 00:30:21,720 Speaker 15: the video sometime where Heidi Larson, the head psychologist for 634 00:30:21,840 --> 00:30:24,880 Speaker 15: the WHO, says, in front of this giant panel, one 635 00:30:24,880 --> 00:30:28,600 Speaker 15: of our biggest problems with vaccine hesitancy is that we 636 00:30:28,680 --> 00:30:31,800 Speaker 15: have a wobbly front line. Our own doctors are now 637 00:30:31,840 --> 00:30:35,520 Speaker 15: starting to question vaccines and they are not equipped to 638 00:30:35,600 --> 00:30:39,280 Speaker 15: handle the questions that parents are now asking when they 639 00:30:39,360 --> 00:30:42,200 Speaker 15: come through the door. And she ends this statement by saying, 640 00:30:42,480 --> 00:30:46,360 Speaker 15: because as we all know, a doctor is lucky if 641 00:30:46,360 --> 00:30:49,320 Speaker 15: they have a half a day education on vaccines. 642 00:30:49,720 --> 00:30:52,560 Speaker 13: You bring this episode interesting because I just interviewed somebody 643 00:30:52,600 --> 00:30:53,120 Speaker 13: the other day. 644 00:30:53,200 --> 00:30:54,920 Speaker 14: In the middle of interviewing. 645 00:30:54,480 --> 00:30:58,200 Speaker 13: Her, she gets a text a call notifying her that 646 00:30:58,240 --> 00:31:00,760 Speaker 13: her children have now been kicked out officially her pedatricians 647 00:31:00,760 --> 00:31:04,040 Speaker 13: office because she didn't want to vaccinate. Why are pediatricians 648 00:31:04,080 --> 00:31:07,120 Speaker 13: across America kicking out patients who are not vaccinating. 649 00:31:06,920 --> 00:31:09,280 Speaker 15: Same way a bully punches a kid that asks them 650 00:31:09,280 --> 00:31:10,840 Speaker 15: a hard question, what are. 651 00:31:10,720 --> 00:31:12,920 Speaker 14: They gaining from you not being a patient? 652 00:31:12,960 --> 00:31:16,600 Speaker 15: Well, because they there's several things. Number One, they gain, 653 00:31:16,920 --> 00:31:19,640 Speaker 15: you know, feeling like they don't have to be challenged. 654 00:31:19,640 --> 00:31:21,520 Speaker 15: They don't like being challenged. But the biggest part of 655 00:31:21,560 --> 00:31:25,040 Speaker 15: it is they're being centivized to give vaccines. They have 656 00:31:25,120 --> 00:31:28,160 Speaker 15: to keep the population inside of their pediatrics. A lot 657 00:31:28,200 --> 00:31:31,040 Speaker 15: of times it's an insurance incentive, but they get an 658 00:31:31,040 --> 00:31:35,560 Speaker 15: incentive to stay above ninety ninety five percent fully vaccinated. 659 00:31:35,960 --> 00:31:38,800 Speaker 15: If they fall below that, they lose this giant bonus 660 00:31:38,800 --> 00:31:40,880 Speaker 15: that they get at the end of every year. And 661 00:31:40,960 --> 00:31:44,200 Speaker 15: so if you are not vaccinating, you are cutting into 662 00:31:44,240 --> 00:31:47,720 Speaker 15: that population percentage that they have to hold on to. 663 00:31:47,920 --> 00:31:51,240 Speaker 15: So they're being manipulated to force you into vaccination. And 664 00:31:51,240 --> 00:31:53,600 Speaker 15: they're being told and by the way, if they're kicking 665 00:31:53,600 --> 00:31:56,160 Speaker 15: you out of the practice. It means they've given up 666 00:31:56,240 --> 00:31:58,280 Speaker 15: that they No, they don't seem to be able to 667 00:31:58,320 --> 00:32:01,440 Speaker 15: have any information that can convince you. The marketing is 668 00:32:01,480 --> 00:32:03,600 Speaker 15: falling apart on this product, and so more and more 669 00:32:03,640 --> 00:32:07,120 Speaker 15: people are getting kicked out of their practice, and I 670 00:32:07,160 --> 00:32:10,120 Speaker 15: think it's amazing that that's what's being recommended to them. 671 00:32:10,160 --> 00:32:12,760 Speaker 15: If someone challenges you, you know you can make a 672 00:32:13,160 --> 00:32:15,360 Speaker 15: try this sentence, try this line, see if you can 673 00:32:15,400 --> 00:32:19,520 Speaker 15: get them. If not, kick them out of your practice. 674 00:32:19,800 --> 00:32:21,240 Speaker 15: It's really bullying. 675 00:32:21,640 --> 00:32:24,240 Speaker 14: Do they get the check or their office to spend 676 00:32:24,280 --> 00:32:24,840 Speaker 14: on office line? 677 00:32:24,880 --> 00:32:27,480 Speaker 15: I think, well, I mean, look, I probably the office. 678 00:32:27,520 --> 00:32:29,200 Speaker 15: I would guess I don't. And I think it's different 679 00:32:29,240 --> 00:32:34,520 Speaker 15: state to state. A guy, doctor Zajack up in Wisconsin, 680 00:32:34,680 --> 00:32:38,480 Speaker 15: talks about immense numbers that he makes off of these incentives. 681 00:32:38,560 --> 00:32:40,560 Speaker 15: I think if you own your own practice, that's huge. 682 00:32:40,560 --> 00:32:43,080 Speaker 15: If it's a clinic, I'm sure the clinic pays down 683 00:32:43,120 --> 00:32:44,880 Speaker 15: to you. And I'm sure, by the way, if you 684 00:32:44,960 --> 00:32:47,760 Speaker 15: aren't the one receiving the check, whoever is is telling 685 00:32:47,800 --> 00:32:49,920 Speaker 15: you better get your numbers up or you're. 686 00:32:49,800 --> 00:32:50,280 Speaker 2: Out of here. 687 00:32:50,640 --> 00:32:53,840 Speaker 13: Which vaccine on the schedule is actually the most thoroughly 688 00:32:53,880 --> 00:32:55,640 Speaker 13: tested the COVID vaccine. 689 00:32:55,960 --> 00:32:59,120 Speaker 14: How the world is that possible. 690 00:32:59,280 --> 00:33:01,800 Speaker 15: I'm telling you that is the best tested vaccine that 691 00:33:01,840 --> 00:33:02,480 Speaker 15: we've ever seen. 692 00:33:02,720 --> 00:33:05,040 Speaker 13: Okay, but this is the vaccine that all of America 693 00:33:05,080 --> 00:33:07,520 Speaker 13: collectively went, whoa, this doesn't seem right. 694 00:33:07,560 --> 00:33:10,200 Speaker 14: And you're telling me that is the most thoroughly tested. 695 00:33:10,360 --> 00:33:12,440 Speaker 15: That is the longest test we've ever seen. It's the 696 00:33:12,480 --> 00:33:16,760 Speaker 15: first time that we've ever seen a saliine placebo being used. 697 00:33:16,760 --> 00:33:18,760 Speaker 15: And by the way, it was my nonprofit that was 698 00:33:19,000 --> 00:33:20,320 Speaker 15: threatened to sue the FDA. 699 00:33:20,880 --> 00:33:22,280 Speaker 2: We said, it looks. 700 00:33:22,000 --> 00:33:24,240 Speaker 15: Like you're going to use a me ninja concle vaccine 701 00:33:24,280 --> 00:33:26,960 Speaker 15: as the placebo, and we will not accept that as 702 00:33:27,000 --> 00:33:29,720 Speaker 15: a placebo. That's not a placebo placebo. A true safety 703 00:33:29,720 --> 00:33:31,760 Speaker 15: test has to have a product that has no effect 704 00:33:31,760 --> 00:33:34,160 Speaker 15: on the human body. And if you decide to run 705 00:33:34,240 --> 00:33:39,320 Speaker 15: the Fizer MODERNA trials using a Meninja conckle vaccine, then 706 00:33:39,360 --> 00:33:41,840 Speaker 15: we will sue and we will make this the biggest scene. 707 00:33:41,880 --> 00:33:44,760 Speaker 15: And by that point I have the biggest lawyer in 708 00:33:44,840 --> 00:33:47,800 Speaker 15: the space, in Aaron Siri. We had already won millions 709 00:33:47,840 --> 00:33:51,120 Speaker 15: of dollars of lawsuits against nih, CDCA, HHS, they were 710 00:33:51,120 --> 00:33:53,560 Speaker 15: starting to take us very seriously, and they knew that 711 00:33:53,640 --> 00:33:57,200 Speaker 15: everyone was watching us, and so literally we sent a 712 00:33:57,200 --> 00:33:59,720 Speaker 15: petition to the FDA said you better turn that into 713 00:33:59,720 --> 00:34:03,360 Speaker 15: a safe placbo. They stopped the Phase three trials immediately 714 00:34:03,440 --> 00:34:06,400 Speaker 15: in their tracks they were just starting. And then six 715 00:34:06,480 --> 00:34:08,560 Speaker 15: days later they started them back up and they said, 716 00:34:08,560 --> 00:34:11,160 Speaker 15: we've traded. We're going to use a saline placebo. So 717 00:34:12,040 --> 00:34:13,600 Speaker 15: one that was one of the things. We had never 718 00:34:13,640 --> 00:34:15,799 Speaker 15: seen it in any of the childhood schedule. Like I said, 719 00:34:15,800 --> 00:34:18,040 Speaker 15: we've never seen the vaccine test against the pacibo. So 720 00:34:18,040 --> 00:34:20,520 Speaker 15: in this case they did it. The problem was, as 721 00:34:20,520 --> 00:34:22,719 Speaker 15: we all witnessed, they went through phase one with the 722 00:34:22,719 --> 00:34:25,320 Speaker 15: placebo and then they get in I mean the phase actually, 723 00:34:25,320 --> 00:34:27,560 Speaker 15: the Phase three trials is the ones we cared about. 724 00:34:27,800 --> 00:34:31,360 Speaker 15: They have Phase three, they give the pacebo. But after 725 00:34:31,400 --> 00:34:34,880 Speaker 15: the second vaccination, it was almost like within two to 726 00:34:34,960 --> 00:34:38,960 Speaker 15: three weeks they had one hundred and eighty people out 727 00:34:39,000 --> 00:34:43,560 Speaker 15: of like forty five thousand that were either testing positive 728 00:34:43,640 --> 00:34:45,919 Speaker 15: or not, and they used those one hundred and eighty 729 00:34:45,960 --> 00:34:50,239 Speaker 15: people to determine that hey, eureka, the vaccine works. One 730 00:34:50,320 --> 00:34:52,120 Speaker 15: hundred eb We were all told as a forty five 731 00:34:52,160 --> 00:34:55,279 Speaker 15: thousand person study. They just looked at the first one 732 00:34:55,360 --> 00:34:58,560 Speaker 15: hundred and eighty and said, look, you know, ninety percent 733 00:34:58,680 --> 00:35:02,280 Speaker 15: of the vaccine NATE didn't get infected in this little group, 734 00:35:02,320 --> 00:35:06,319 Speaker 15: and you know, you know then the other ones did, 735 00:35:06,360 --> 00:35:10,040 Speaker 15: the unvaccinator are getting infected, and so it was all 736 00:35:10,120 --> 00:35:13,600 Speaker 15: manufactured around a tiny group of people. But what they 737 00:35:13,680 --> 00:35:16,680 Speaker 15: did was they got the emergency use authorization off of that, 738 00:35:17,080 --> 00:35:19,440 Speaker 15: instead of waiting to see what happened with the forty 739 00:35:19,440 --> 00:35:22,280 Speaker 15: five thousand, instead of doing a long term that study 740 00:35:22,280 --> 00:35:24,880 Speaker 15: we really should have been two years long, but the 741 00:35:24,920 --> 00:35:28,880 Speaker 15: emergency use authorization allowed them, that's to sort of step 742 00:35:28,960 --> 00:35:32,120 Speaker 15: out of the safety trial early. And this was all 743 00:35:32,120 --> 00:35:33,920 Speaker 15: we saw it coming. We knew this was what they 744 00:35:33,920 --> 00:35:36,360 Speaker 15: would probably do, and sure enough, as soon as it 745 00:35:36,400 --> 00:35:40,360 Speaker 15: got an emergency use authorization just weeks after that second vaccination. 746 00:35:40,920 --> 00:35:44,080 Speaker 15: You know, at most at most that trial for some 747 00:35:44,200 --> 00:35:47,359 Speaker 15: people might have lasted about six months. They ended up 748 00:35:47,440 --> 00:35:52,479 Speaker 15: saying that, well, now that the vaccine's available for emergency use, 749 00:35:53,040 --> 00:35:57,040 Speaker 15: it's unethical to keep this placebo group, because if everyone 750 00:35:57,080 --> 00:35:59,359 Speaker 15: else in the country can get this great product, why 751 00:35:59,400 --> 00:36:02,160 Speaker 15: should they be denyed just because they were lending their 752 00:36:02,200 --> 00:36:05,040 Speaker 15: services to the trial and they went and vaccinated the 753 00:36:05,200 --> 00:36:08,600 Speaker 15: entire placebo group, erasing any ability for us to know 754 00:36:08,680 --> 00:36:11,440 Speaker 15: the long term safety consequences of this product. What happens 755 00:36:11,480 --> 00:36:13,600 Speaker 15: to you after a year, what happens to you after 756 00:36:13,640 --> 00:36:17,480 Speaker 15: two years? And now we're seeing in the Yale study 757 00:36:17,960 --> 00:36:21,440 Speaker 15: that people, some people are still producing spipe protein in 758 00:36:21,480 --> 00:36:26,560 Speaker 15: their bodies seven hundred days, two years after receiving that 759 00:36:26,600 --> 00:36:28,959 Speaker 15: first vaccination, when the spipe protein should have been gone. 760 00:36:29,120 --> 00:36:32,720 Speaker 15: They said within days, definitely less than a week. Something 761 00:36:32,840 --> 00:36:35,960 Speaker 15: is really wrong with this vaccine. We still see this 762 00:36:36,040 --> 00:36:39,440 Speaker 15: incredible rise in cancers, headlines across the country, more children 763 00:36:39,520 --> 00:36:42,920 Speaker 15: getting cancer than ever. We're seeing children collapsing on football 764 00:36:42,920 --> 00:36:46,359 Speaker 15: fields and soccer fields with heart attacks. All of those 765 00:36:46,360 --> 00:36:48,640 Speaker 15: things were things that we should have known, exact numbers. 766 00:36:48,640 --> 00:36:50,480 Speaker 15: We should have been able to watch those people for 767 00:36:50,800 --> 00:36:53,759 Speaker 15: two years, three years against what are the ones that 768 00:36:53,840 --> 00:36:56,279 Speaker 15: just got the placebo? Is it happening more in the 769 00:36:56,280 --> 00:37:00,640 Speaker 15: placibo group. We would have real hardcore answers had a 770 00:37:00,760 --> 00:37:04,080 Speaker 15: real long term study been done, But because they erased it, 771 00:37:04,120 --> 00:37:07,840 Speaker 15: they'll say, well, it's anecdotal to say that the vaccine 772 00:37:07,880 --> 00:37:10,200 Speaker 15: is causing that, and that's how this game is played. 773 00:37:15,320 --> 00:37:18,319 Speaker 9: Got to admire what you've been able to do, not 774 00:37:18,360 --> 00:37:22,359 Speaker 9: to weaponize, but to organize on these college campuses. 775 00:37:22,000 --> 00:37:25,480 Speaker 8: At Turning Point USA. We've spent thirteen years building the machine, 776 00:37:25,520 --> 00:37:28,360 Speaker 8: and last year we sought payoff. Our grassroots army is 777 00:37:28,400 --> 00:37:30,919 Speaker 8: making a real difference. Help us keep the momentum going. 778 00:37:31,080 --> 00:37:35,720 Speaker 8: Donate today and keep TPUSA strong on campuses across America. 779 00:37:35,800 --> 00:37:37,960 Speaker 10: And for a gift of any amount, you'll receive your 780 00:37:37,960 --> 00:37:40,719 Speaker 10: Big Gov Sucks Cooler claim yours today. 781 00:37:49,360 --> 00:37:51,839 Speaker 1: Welcome back to Turning Point Tonight. We're together. We are 782 00:37:51,920 --> 00:37:54,600 Speaker 1: charting the course of America's cultural comeback. You can go 783 00:37:54,640 --> 00:37:57,120 Speaker 1: to TPUSA dot com make a donation of any amount. 784 00:37:57,160 --> 00:37:59,960 Speaker 1: I know you've seen the commercials, get yourself a brand 785 00:38:00,440 --> 00:38:03,279 Speaker 1: spank and new Big Gov Sucks cooler. And you really 786 00:38:03,320 --> 00:38:05,000 Speaker 1: got to make sure your cooler says big GUF sucks 787 00:38:05,040 --> 00:38:07,719 Speaker 1: on it, because how else would people know that well, 788 00:38:07,760 --> 00:38:10,560 Speaker 1: Big Gov sucks. Tposa dot com donation of an email, 789 00:38:10,640 --> 00:38:12,799 Speaker 1: get you that cooler, get those drinks cool. You can 790 00:38:12,840 --> 00:38:15,840 Speaker 1: also email the show anytime you want tpt at TPUSA 791 00:38:16,200 --> 00:38:19,399 Speaker 1: dot com. We love seeing each and every single one 792 00:38:19,440 --> 00:38:22,240 Speaker 1: of your emails. Doesn't matter if you agree with everything 793 00:38:22,280 --> 00:38:24,640 Speaker 1: we've ever said on the show, or you're wrong, doesn't matter. 794 00:38:24,640 --> 00:38:28,080 Speaker 1: We love seeing him, except for videos that you sent 795 00:38:28,200 --> 00:38:30,760 Speaker 1: like this, this is, this is, this is a lot. 796 00:38:31,400 --> 00:38:32,399 Speaker 2: There is a. 797 00:38:32,320 --> 00:38:35,440 Speaker 1: Point to be made here, but it may not be 798 00:38:35,520 --> 00:38:38,000 Speaker 1: the point that she or they I don't know, I 799 00:38:38,000 --> 00:38:41,799 Speaker 1: don't know think they're making. It's TikTok Tuesday, and this 800 00:38:41,880 --> 00:38:42,560 Speaker 1: is the TikTok. 801 00:38:43,160 --> 00:38:48,000 Speaker 16: Does anybody else find it extremely odd that the president 802 00:38:48,040 --> 00:38:53,360 Speaker 16: that we have right now self admittingly drinks like a 803 00:38:53,480 --> 00:38:57,280 Speaker 16: twenty four pack of diet cocaine. And he's the same 804 00:38:57,360 --> 00:39:02,200 Speaker 16: exact president with the same exact presidential campaign that is 805 00:39:02,280 --> 00:39:07,000 Speaker 16: trying to take away pop and whatever else, but mainly 806 00:39:07,080 --> 00:39:13,960 Speaker 16: pop from the EBT program for poor and impoverished people. 807 00:39:15,480 --> 00:39:19,200 Speaker 16: It's it's almost like it's almost like it's not about 808 00:39:19,239 --> 00:39:23,160 Speaker 16: making America healthy again. It's just about taking things away 809 00:39:23,160 --> 00:39:27,080 Speaker 16: from poor people. It's it's literally just to be cruel. 810 00:39:27,640 --> 00:39:33,000 Speaker 16: There's there's no other reason our own president drinks dye 811 00:39:33,040 --> 00:39:35,279 Speaker 16: of coke like water, and you're sitting here and you're 812 00:39:35,280 --> 00:39:45,680 Speaker 16: telling me make America healthy again, just saying yeah. 813 00:39:45,560 --> 00:39:49,040 Speaker 1: Uh, well, I mean, there's the obvious one that I'm 814 00:39:49,080 --> 00:39:51,759 Speaker 1: sure the conclusion that you all came to is well, yeah, 815 00:39:52,400 --> 00:39:56,280 Speaker 1: he's paying for it, not taxpayer money. Well, actually, technically 816 00:39:56,320 --> 00:39:58,239 Speaker 1: I don't know who. I know the President does pay 817 00:39:58,280 --> 00:40:00,600 Speaker 1: for all of his food. I think just in the 818 00:40:00,600 --> 00:40:03,080 Speaker 1: White House there's that whole he's paying for the coke. 819 00:40:03,160 --> 00:40:05,200 Speaker 1: That's why he gets to drink all of it, you know, 820 00:40:05,280 --> 00:40:09,319 Speaker 1: if if it's my taxpayer dollars. Honestly, it's difficult to 821 00:40:09,320 --> 00:40:14,040 Speaker 1: make the argument that there that only the EBT program 822 00:40:14,080 --> 00:40:16,360 Speaker 1: goes to beans. 823 00:40:15,960 --> 00:40:16,840 Speaker 2: Rice and water. 824 00:40:17,040 --> 00:40:21,480 Speaker 1: I'm just saying it's hard to make the argument to 825 00:40:21,520 --> 00:40:23,839 Speaker 1: say that it should go to anything more than that. 826 00:40:24,560 --> 00:40:28,239 Speaker 1: There is a really interesting point here though, that I 827 00:40:28,239 --> 00:40:32,200 Speaker 1: don't think this young lady person is gonna like all 828 00:40:32,239 --> 00:40:36,399 Speaker 1: that much. And it's that when and I say when, 829 00:40:36,760 --> 00:40:39,160 Speaker 1: I hate that it's win. But I think it actually 830 00:40:39,280 --> 00:40:41,319 Speaker 1: might be if I were to put money on it, 831 00:40:41,320 --> 00:40:43,880 Speaker 1: because I well, you know what, if we can save America, 832 00:40:43,920 --> 00:40:46,040 Speaker 1: I won't be when it'll be if. So let's just say, 833 00:40:46,040 --> 00:40:49,520 Speaker 1: if if we ever go to a single payer healthcare system, 834 00:40:50,200 --> 00:40:53,640 Speaker 1: I will be advocating for getting rid of soda for everybody. Sorry, 835 00:40:53,719 --> 00:40:57,080 Speaker 1: if I have to share the burden. Producer Glenn Is 836 00:40:57,080 --> 00:40:58,840 Speaker 1: shaking his head in disgust. He doesn't want to be 837 00:40:58,880 --> 00:41:01,560 Speaker 1: taking away his diet coke, which is fine, I agree 838 00:41:01,560 --> 00:41:06,000 Speaker 1: with you, But if I am paying for everyone else's 839 00:41:06,040 --> 00:41:08,840 Speaker 1: health care, you don't get to be unhealthy. You don't 840 00:41:08,880 --> 00:41:15,040 Speaker 1: get to participate in unhealthy lifestyles. And therefore, if we're 841 00:41:15,080 --> 00:41:17,040 Speaker 1: all sharing the burden, if we don't have private insurance 842 00:41:17,080 --> 00:41:19,200 Speaker 1: where you know, you pay for your thing, and yeah, 843 00:41:19,239 --> 00:41:21,520 Speaker 1: there's some effect on my premium, but the insurance companies 844 00:41:21,560 --> 00:41:24,280 Speaker 1: figure that out. If we are all paying for everybody 845 00:41:24,320 --> 00:41:26,960 Speaker 1: else's health care, I will be on the front line 846 00:41:27,120 --> 00:41:29,040 Speaker 1: slapping big Max out of people's hands. 847 00:41:29,040 --> 00:41:30,480 Speaker 2: I don't care who pays for it. 848 00:41:30,480 --> 00:41:33,080 Speaker 1: It's if you're going to have health problems because of it, 849 00:41:33,440 --> 00:41:36,520 Speaker 1: I don't want you doing it. That is the big 850 00:41:36,560 --> 00:41:39,880 Speaker 1: downside to the universal health care thing. But overall, the 851 00:41:39,920 --> 00:41:44,319 Speaker 1: EBT card thing, Yeah, nobody nobody needs luxury food. I'ms 852 00:41:44,320 --> 00:41:48,160 Speaker 1: and we're like sodas, not a luxury it's it's it's. 853 00:41:47,880 --> 00:41:49,760 Speaker 2: More than apparently you can afford. 854 00:41:49,840 --> 00:41:53,280 Speaker 1: So yeah, it's taxpayer dollars, and you know that should 855 00:41:53,280 --> 00:41:56,160 Speaker 1: be used as wisely as humanly possible. Anyways, that's gonna 856 00:41:56,160 --> 00:41:57,880 Speaker 1: do it for us here at turning point tonight. We 857 00:41:57,960 --> 00:42:00,319 Speaker 1: appreciate you so much for tuning in each every night 858 00:42:00,360 --> 00:42:02,279 Speaker 1: here in real America's voice. Charlie is going to take 859 00:42:02,320 --> 00:42:04,320 Speaker 1: us out. We will see you tomorrow, same time, same place. 860 00:42:04,560 --> 00:42:18,000 Speaker 4: God bless America. 861 00:42:18,320 --> 00:42:19,920 Speaker 2: So it's so nice to meet you. 862 00:42:20,280 --> 00:42:23,080 Speaker 8: I've been following you from Afar for a while and 863 00:42:23,160 --> 00:42:25,560 Speaker 8: it's just kind of fun how all these paths kind 864 00:42:25,560 --> 00:42:26,759 Speaker 8: of come together, right. 865 00:42:27,080 --> 00:42:29,920 Speaker 17: It's awesome actually, and I really have to commend you. 866 00:42:30,280 --> 00:42:35,040 Speaker 17: Oh excuse me for being such a uniting cultural force. 867 00:42:35,120 --> 00:42:35,600 Speaker 8: Oh, thank you. 868 00:42:35,760 --> 00:42:36,520 Speaker 18: I appreciate it. 869 00:42:36,600 --> 00:42:39,239 Speaker 8: We have lots of voices here, lots of perspectives, and 870 00:42:40,120 --> 00:42:42,200 Speaker 8: it's exciting. So for those of you that are not 871 00:42:42,400 --> 00:42:45,239 Speaker 8: totally familiar with you or your story, who are you? 872 00:42:45,360 --> 00:42:48,760 Speaker 8: And tell us why you're so passionate about making America 873 00:42:48,760 --> 00:42:49,239 Speaker 8: healthy again? 874 00:42:49,320 --> 00:42:50,080 Speaker 18: Gosh. 875 00:42:50,160 --> 00:42:54,239 Speaker 17: Well, I am a former fat kid that fell into 876 00:42:54,320 --> 00:42:58,080 Speaker 17: fitness because I got into martial arts and I learned, 877 00:42:58,200 --> 00:43:00,680 Speaker 17: over the course of many years and great instruction that 878 00:43:00,719 --> 00:43:03,439 Speaker 17: when you feel strong physically, you feel strong in every 879 00:43:03,440 --> 00:43:04,360 Speaker 17: facet of your life. 880 00:43:05,120 --> 00:43:08,720 Speaker 18: Fell into being a fitness trainer, ended up working. 881 00:43:08,960 --> 00:43:10,279 Speaker 8: Sorry, I'll go over here. 882 00:43:11,000 --> 00:43:12,480 Speaker 17: I don't know why I felt they need to deepen 883 00:43:12,520 --> 00:43:15,000 Speaker 17: my voice as well in that moment, quite forgive me, 884 00:43:15,040 --> 00:43:15,399 Speaker 17: all right? 885 00:43:15,800 --> 00:43:18,400 Speaker 18: Anyway, I fell into fitness. 886 00:43:18,000 --> 00:43:20,520 Speaker 17: Training when I was training for my black belt, and 887 00:43:20,560 --> 00:43:22,319 Speaker 17: the rest kind of took on a life of its own. 888 00:43:22,320 --> 00:43:24,520 Speaker 17: And this is why I think when you do what 889 00:43:24,560 --> 00:43:27,960 Speaker 17: you love, the universe really does conspire on your behalf. 890 00:43:28,040 --> 00:43:30,879 Speaker 17: And I've had a huge amount of serendipity that I'm 891 00:43:30,920 --> 00:43:34,920 Speaker 17: grateful for, and how I ended up sitting here with 892 00:43:35,000 --> 00:43:38,600 Speaker 17: you Maha is definitely part of it, and I'm grateful 893 00:43:38,600 --> 00:43:39,320 Speaker 17: for that movement. 894 00:43:39,760 --> 00:43:41,200 Speaker 18: I think it's long overdue. 895 00:43:41,760 --> 00:43:47,480 Speaker 17: But health became a political football and so I was 896 00:43:47,760 --> 00:43:51,560 Speaker 17: dragged into this arena. I'm not sorry, and I think 897 00:43:51,600 --> 00:43:53,959 Speaker 17: this is where I need to be and that's where 898 00:43:53,960 --> 00:43:57,719 Speaker 17: these ven diagram, the VEN diagram of politics and wellness 899 00:43:57,760 --> 00:43:58,520 Speaker 17: intersects for me. 900 00:43:59,239 --> 00:44:01,239 Speaker 8: And so you were outspoken against a lot of the 901 00:44:01,280 --> 00:44:03,560 Speaker 8: mandates during COVID correct. 902 00:44:03,400 --> 00:44:06,279 Speaker 18: I was as time progressed. 903 00:44:06,320 --> 00:44:10,319 Speaker 17: I didn't really understand the vaccine piece of it all, 904 00:44:10,400 --> 00:44:14,120 Speaker 17: and to be dead honest, I just assumed it was safe. 905 00:44:14,160 --> 00:44:15,920 Speaker 18: I mean, why wouldn't it be safe? 906 00:44:16,440 --> 00:44:18,920 Speaker 17: To say that vaccines weren't safe was like saying the 907 00:44:19,000 --> 00:44:22,520 Speaker 17: earth was flat? What I did appreciate very early on 908 00:44:22,640 --> 00:44:26,480 Speaker 17: is that the lockdowns made no sense and the mandates 909 00:44:26,840 --> 00:44:27,560 Speaker 17: made no sense. 910 00:44:27,600 --> 00:44:29,040 Speaker 18: Like you would walk into a restaurant. 911 00:44:29,040 --> 00:44:31,120 Speaker 17: This one's my absolute favorite, and you have to wear 912 00:44:31,160 --> 00:44:33,880 Speaker 17: a mask when you walked in because you could only 913 00:44:34,000 --> 00:44:36,960 Speaker 17: catch COVID if you were standing up, and then when 914 00:44:37,000 --> 00:44:40,240 Speaker 17: you sat down you could take off your mask safely 915 00:44:40,800 --> 00:44:44,359 Speaker 17: and converse and consume food. And I remember thinking, this 916 00:44:44,400 --> 00:44:46,279 Speaker 17: does not make a ton of sense to me, and 917 00:44:46,320 --> 00:44:50,239 Speaker 17: then later I began to investigate more of what did 918 00:44:50,280 --> 00:44:51,120 Speaker 17: not make sense. 919 00:44:50,920 --> 00:44:54,359 Speaker 8: Well, And my favorite during COVID was when you flow 920 00:44:54,360 --> 00:44:57,799 Speaker 8: on an airplane, where that virus is a very very 921 00:44:57,880 --> 00:45:02,359 Speaker 8: tricky virus. It takes i'm off while you eat. Yes, yes, 922 00:45:02,520 --> 00:45:05,560 Speaker 8: so when you're eating or drinking, the virus just kind 923 00:45:05,560 --> 00:45:08,239 Speaker 8: of chills out exactly. But otherwise you must keep the 924 00:45:08,280 --> 00:45:12,440 Speaker 8: mask on. And very important, you're allowed to eat and 925 00:45:12,520 --> 00:45:15,280 Speaker 8: drink with people next to you at thirty five thousand feet, 926 00:45:15,520 --> 00:45:18,000 Speaker 8: but once you land in LA, all the restaurants are 927 00:45:18,000 --> 00:45:21,440 Speaker 8: closed because you're not allowed to eat next to people 928 00:45:21,680 --> 00:45:24,080 Speaker 8: in LA. But you're allowed to eat next to people 929 00:45:24,120 --> 00:45:26,920 Speaker 8: on your flight to LA, sitting right next to you, 930 00:45:27,480 --> 00:45:29,360 Speaker 8: and doors not socially distanced. 931 00:45:29,400 --> 00:45:33,520 Speaker 17: And the mask also screens out the virus from going 932 00:45:33,560 --> 00:45:36,720 Speaker 17: into your eyeballs, despite the fact that it only covers 933 00:45:36,760 --> 00:45:39,080 Speaker 17: your nose in your mouth. Yes, because as we know, 934 00:45:39,200 --> 00:45:43,800 Speaker 17: you can catch pathogens through your eyes, but not COVID, 935 00:45:44,120 --> 00:45:45,680 Speaker 17: especially when you're wearing the mask. 936 00:45:46,320 --> 00:45:49,719 Speaker 8: So I guess you became outspoken to this and the 937 00:45:49,760 --> 00:45:53,120 Speaker 8: backstory you were you ran or the hosts the show 938 00:45:53,160 --> 00:45:53,920 Speaker 8: the biggest loser? 939 00:45:53,960 --> 00:45:54,480 Speaker 2: Is that correct? 940 00:45:54,680 --> 00:45:54,879 Speaker 7: Yeah? 941 00:45:54,960 --> 00:45:56,960 Speaker 8: But way back when, and I think a lot of 942 00:45:56,960 --> 00:45:59,560 Speaker 8: people remember that. Who remembers that with gilia? So that's 943 00:45:59,560 --> 00:46:03,160 Speaker 8: a big, big, big show. I want to take a 944 00:46:03,160 --> 00:46:06,200 Speaker 8: sidebar and just talk about that. How did you get 945 00:46:06,239 --> 00:46:06,520 Speaker 8: into that? 946 00:46:06,560 --> 00:46:10,400 Speaker 17: First of all, Well, I opened a sports medicine facility 947 00:46:10,960 --> 00:46:13,359 Speaker 17: when I was around thirty years old, and I had 948 00:46:13,560 --> 00:46:17,399 Speaker 17: briefly worked in the entertainment industry and branding and motion 949 00:46:17,520 --> 00:46:18,320 Speaker 17: picture packaging. 950 00:46:18,400 --> 00:46:20,400 Speaker 18: So I had a lot of clients that worked. 951 00:46:20,160 --> 00:46:22,600 Speaker 17: In the entertainment industry and they'd heard about this show 952 00:46:22,960 --> 00:46:26,280 Speaker 17: on NBC and I really did. 953 00:46:26,160 --> 00:46:27,839 Speaker 18: Not like the name of the show. 954 00:46:27,600 --> 00:46:29,719 Speaker 17: But I got pushed to go out for it, and 955 00:46:29,760 --> 00:46:30,920 Speaker 17: I had thought at the time I was going to 956 00:46:30,960 --> 00:46:32,680 Speaker 17: brand my gym. I thought that was going to be 957 00:46:32,719 --> 00:46:34,960 Speaker 17: the brand, and I was going to be the next Curves, 958 00:46:34,960 --> 00:46:36,439 Speaker 17: which is probably before your time. 959 00:46:36,680 --> 00:46:37,400 Speaker 8: I remember Curves. 960 00:46:37,440 --> 00:46:43,320 Speaker 18: Okay, fair fair you work out there, Charlie. No, okay, 961 00:46:43,360 --> 00:46:43,920 Speaker 18: fair enough. 962 00:46:44,400 --> 00:46:47,480 Speaker 17: So long story short, I went out for the job, 963 00:46:47,520 --> 00:46:50,239 Speaker 17: I ended up getting it, and I had, you know, 964 00:46:50,280 --> 00:46:52,960 Speaker 17: an on again, off again relationship with the network and 965 00:46:52,960 --> 00:46:56,879 Speaker 17: the producers for all the reasons that the show remained controversial, 966 00:46:56,880 --> 00:47:00,560 Speaker 17: but nevertheless it gave me a global mega and I'm 967 00:47:00,560 --> 00:47:03,839 Speaker 17: grateful for it and hopefully doing better things with it. 968 00:47:04,760 --> 00:47:06,239 Speaker 18: Well that's kind of how I ended up here. 969 00:47:06,280 --> 00:47:12,160 Speaker 17: But as you know, politically in culture, it became we 970 00:47:12,200 --> 00:47:14,840 Speaker 17: began to glorify obesity. And I think this is really 971 00:47:14,880 --> 00:47:18,319 Speaker 17: pre COVID where I started to get red piled. That's 972 00:47:18,320 --> 00:47:21,040 Speaker 17: really when it began in twenty nineteen. And there's a 973 00:47:21,080 --> 00:47:24,040 Speaker 17: famous incident where I was asked by BuzzFeed if I 974 00:47:24,160 --> 00:47:27,440 Speaker 17: celebrated the fact that Lizzo was obese, and I was like, well, 975 00:47:27,440 --> 00:47:28,440 Speaker 17: I celebrate Lizzo. 976 00:47:28,680 --> 00:47:30,520 Speaker 18: I think she's a brilliant artist. I don't think her 977 00:47:30,520 --> 00:47:33,160 Speaker 18: body is any of my business. And I continue to 978 00:47:33,160 --> 00:47:33,879 Speaker 18: get pushed and I. 979 00:47:33,840 --> 00:47:35,480 Speaker 17: Was like, if you're asking me whether or not I 980 00:47:35,560 --> 00:47:37,840 Speaker 17: celebrate the fact that she is overweight. I do not, 981 00:47:38,480 --> 00:47:41,080 Speaker 17: because if you truly value her, you would never want 982 00:47:41,080 --> 00:47:44,880 Speaker 17: her to suffer with any of the comorbidities that obesity 983 00:47:45,080 --> 00:47:45,920 Speaker 17: carries with it. 984 00:47:46,239 --> 00:47:47,280 Speaker 18: And that was it. 985 00:47:47,280 --> 00:47:50,560 Speaker 17: It was oh my god, it was cancel culture central, 986 00:47:50,920 --> 00:47:52,959 Speaker 17: and that was really my wake up call. 987 00:47:54,440 --> 00:47:58,760 Speaker 8: So when you have dealt with this a lot, biggest 988 00:47:58,800 --> 00:48:03,279 Speaker 8: loser privately public, when somebody is obese in your experience, 989 00:48:03,520 --> 00:48:08,480 Speaker 8: what is the percentage composition of it being lifestyle agency 990 00:48:09,000 --> 00:48:11,680 Speaker 8: and genetics? So how much of it is what they 991 00:48:11,719 --> 00:48:14,040 Speaker 8: are kind of putting in their body? 992 00:48:14,160 --> 00:48:14,560 Speaker 2: Got it? 993 00:48:14,880 --> 00:48:16,720 Speaker 8: Meaning like, are they being poisoned by their food? 994 00:48:17,360 --> 00:48:18,040 Speaker 18: Unquestionably? 995 00:48:18,160 --> 00:48:18,520 Speaker 3: Got it? 996 00:48:18,560 --> 00:48:20,520 Speaker 8: So that's a factor. So we should have your passion 997 00:48:21,360 --> 00:48:29,400 Speaker 8: a factor. Yes, genetics is a factor, minimally, minimally, exceptionally minimally. Okay, 998 00:48:29,400 --> 00:48:31,279 Speaker 8: So build that out because we're you know, people say 999 00:48:31,280 --> 00:48:33,640 Speaker 8: I'm boring this way, I'm born big boned, I'm boring. 1000 00:48:34,239 --> 00:48:37,520 Speaker 18: No, So you're born with a predisposition for things. 1001 00:48:37,560 --> 00:48:40,759 Speaker 17: And I'm sure you've heard from fantastic mds for more 1002 00:48:40,880 --> 00:48:44,760 Speaker 17: credible than me tell you that while genetics loads the gun, 1003 00:48:45,239 --> 00:48:50,920 Speaker 17: lifestyle pulls the trigger. I have four obesity genes perfectly healthy. 1004 00:48:51,120 --> 00:48:53,480 Speaker 17: So while I may not get to eat as much 1005 00:48:53,560 --> 00:48:55,759 Speaker 17: as my son, who can eat anything and everything and 1006 00:48:55,800 --> 00:49:01,160 Speaker 17: never gain a pound, and it's exceptionally frustrating. But with 1007 00:49:01,320 --> 00:49:04,720 Speaker 17: that said, if I am mindful about what I eat, 1008 00:49:05,000 --> 00:49:06,160 Speaker 17: I can be very healthy. 1009 00:49:06,280 --> 00:49:09,799 Speaker 18: So you simply have to address the fact that your 1010 00:49:09,880 --> 00:49:11,720 Speaker 18: genes are predisposed. 1011 00:49:11,920 --> 00:49:15,360 Speaker 8: So got it slower metabology, so de emphasis on genetics, 1012 00:49:15,400 --> 00:49:19,359 Speaker 8: which I love because I feel as if that is disempowering. Fact, 1013 00:49:19,640 --> 00:49:22,880 Speaker 8: that's actually a really sad message to tell obese people 1014 00:49:23,200 --> 00:49:26,240 Speaker 8: because it basically removes agency from the equation. 1015 00:49:31,640 --> 00:49:34,520 Speaker 9: You've got to admire what you've been able to do, 1016 00:49:34,640 --> 00:49:38,839 Speaker 9: not to weaponize, but to organize on these college campuses. 1017 00:49:38,480 --> 00:49:41,960 Speaker 8: At Turning Point USA, We've spent thirteen years building the machine, 1018 00:49:42,000 --> 00:49:44,840 Speaker 8: and last year we sought payoff. Our grassroots army is 1019 00:49:44,880 --> 00:49:45,800 Speaker 8: making a real difference. 1020 00:49:46,000 --> 00:49:47,359 Speaker 2: Help us keep the momentum going. 1021 00:49:47,560 --> 00:49:52,920 Speaker 8: Donate today and keep tp USA strong on campuses across America. 1022 00:49:52,280 --> 00:49:54,440 Speaker 10: And for a gift of any amount, you'll receive your 1023 00:49:54,440 --> 00:49:59,520 Speaker 10: big Gov Sucks Cooler claim. Yours today