1 00:00:08,119 --> 00:00:11,000 Speaker 1: Doctor Jill Biden has a brand new job where she 2 00:00:11,039 --> 00:00:14,000 Speaker 1: will hopefully be able to put that medical degree or 3 00:00:14,000 --> 00:00:16,960 Speaker 1: whatever she has a doctorate in to good use. Also, 4 00:00:17,360 --> 00:00:19,440 Speaker 1: the new study that came out that The York Time 5 00:00:19,560 --> 00:00:22,680 Speaker 1: the New York Post is reporting on confirms the fact 6 00:00:22,720 --> 00:00:25,880 Speaker 1: that defund the police was not a good idea. It's shocking, 7 00:00:25,960 --> 00:00:27,720 Speaker 1: but you're gonna want to hear about it. Also, the 8 00:00:27,760 --> 00:00:30,320 Speaker 1: Trump administration apparently is going to track down on these 9 00:00:30,360 --> 00:00:33,800 Speaker 1: woke Soros funded das, the most recent iteration coming out 10 00:00:33,840 --> 00:00:36,080 Speaker 1: of Minnesota. All that more coming up on this episode 11 00:00:36,080 --> 00:00:38,159 Speaker 1: of Turning Point Tonight. My name is Jobob. Thanks so 12 00:00:38,240 --> 00:00:40,200 Speaker 1: much for tuning in. Together, we are charting the course 13 00:00:40,200 --> 00:00:43,519 Speaker 1: of America's cultural comeback. This is Turning Point Tonight. Now, 14 00:00:43,560 --> 00:00:45,080 Speaker 1: before we get to any of those stories and to 15 00:00:45,159 --> 00:00:48,200 Speaker 1: our fantastic panel, we have to talk about the big 16 00:00:48,479 --> 00:00:52,320 Speaker 1: bronze statue that popped up in New York City's Times Square. 17 00:00:52,640 --> 00:00:55,760 Speaker 1: If you're not hip to this story, that's effectively what 18 00:00:55,800 --> 00:00:59,720 Speaker 1: it is, a very large twelve foot statue. You can 19 00:00:59,760 --> 00:01:02,160 Speaker 1: see the picture. I'm not gonna describe it for you 20 00:01:02,200 --> 00:01:04,679 Speaker 1: at risk of i don't know, getting thrown off the 21 00:01:04,720 --> 00:01:08,440 Speaker 1: internet by the woke mobsters. But it is what it is. 22 00:01:08,600 --> 00:01:12,679 Speaker 1: It seems to be a rotund possibly African American woman, 23 00:01:12,800 --> 00:01:16,960 Speaker 1: unless it is a white woman culturally appropriating the African 24 00:01:16,959 --> 00:01:20,720 Speaker 1: American woman hairstyle. All that to be said, a lot 25 00:01:20,720 --> 00:01:23,720 Speaker 1: of people are asking why is it here, what is 26 00:01:23,760 --> 00:01:27,760 Speaker 1: it doing? What purpose does it serve? Rather than just 27 00:01:27,880 --> 00:01:30,679 Speaker 1: kind of poking fun at the ridiculous of it all. 28 00:01:31,040 --> 00:01:33,160 Speaker 1: But I'd actually bring you some fun facts about it. 29 00:01:33,440 --> 00:01:37,720 Speaker 1: The Times Square official website has a full on bio 30 00:01:38,080 --> 00:01:41,639 Speaker 1: of what this is doing here, how long it's gonna stay, 31 00:01:42,080 --> 00:01:45,520 Speaker 1: and its purpose, which I find hilarious. First things first, 32 00:01:45,800 --> 00:01:47,800 Speaker 1: it went up at the end of the month, or sorry, 33 00:01:47,840 --> 00:01:50,480 Speaker 1: at the end of last month. Will be here until June. 34 00:01:50,520 --> 00:01:52,640 Speaker 1: It is a twelve foot bronze statue. It is called 35 00:01:53,200 --> 00:01:59,040 Speaker 1: Grounded in the Stars for some reason, and in part 36 00:01:59,120 --> 00:02:02,720 Speaker 1: it was taxpayer fun. Now, the website says that while 37 00:02:02,760 --> 00:02:05,600 Speaker 1: there's some private funding, there's some public funding. But just 38 00:02:05,760 --> 00:02:07,640 Speaker 1: know that New York City and New York State has 39 00:02:07,720 --> 00:02:12,760 Speaker 1: tens of millions of dollars quote unquote invested into art projects. 40 00:02:12,800 --> 00:02:16,320 Speaker 1: Now here's where I think it gets fascinating. The reason 41 00:02:16,440 --> 00:02:20,720 Speaker 1: for this statue is to confront perceived notions of identity 42 00:02:20,760 --> 00:02:24,640 Speaker 1: and representation. Now, of course, obviously we can find a 43 00:02:24,720 --> 00:02:29,320 Speaker 1: real individual that best confronts the notions of identity and representation. 44 00:02:29,760 --> 00:02:32,440 Speaker 1: But instead of doing that, they made up a fictional person. 45 00:02:33,040 --> 00:02:36,440 Speaker 1: The fictionalized character that is depicted in this statue is 46 00:02:36,480 --> 00:02:41,480 Speaker 1: constructed from images, observations, and open calls spanning between Los 47 00:02:41,520 --> 00:02:45,720 Speaker 1: Angeles and London. In other words, I'm sure, at great expense, 48 00:02:46,200 --> 00:02:49,760 Speaker 1: somebody traveled halfway around the world to be able to 49 00:02:49,800 --> 00:02:53,840 Speaker 1: come up with a pretty average looking person. Lastly, and 50 00:02:53,880 --> 00:02:55,880 Speaker 1: I thought this was the most hilarious part. On the 51 00:02:56,000 --> 00:02:59,960 Speaker 1: Times Square website, it said this, it made a compare 52 00:03:00,400 --> 00:03:03,600 Speaker 1: to this new statue, saying the ease of her stance 53 00:03:03,800 --> 00:03:08,320 Speaker 1: is a subtle nod to Michaelangelo's David. Yes, the statue 54 00:03:08,320 --> 00:03:13,720 Speaker 1: in New York City of Rotunda Black Woman is comparable 55 00:03:13,880 --> 00:03:18,840 Speaker 1: to Michelangelo's masterpiece work of David. Here to covets on 56 00:03:18,960 --> 00:03:22,240 Speaker 1: that and actually more serious things eventually down the road. 57 00:03:22,800 --> 00:03:27,600 Speaker 1: Comedians commentator, Instagram influencer Bobby saus Bobby Saucelito, and Prepatel 58 00:03:27,600 --> 00:03:29,840 Speaker 1: conservative commentator guys, thanks so much for joining us. Really 59 00:03:29,840 --> 00:03:34,600 Speaker 1: appreciate it. Hey, you take it the time our pleasure. Bobby, 60 00:03:34,600 --> 00:03:37,480 Speaker 1: I want to start with you here just overall thoughts. Well, 61 00:03:37,520 --> 00:03:39,120 Speaker 1: first of all, actually I want to ask you specifically, 62 00:03:39,400 --> 00:03:43,200 Speaker 1: should any tax payer dollars be going towards art right? 63 00:03:43,280 --> 00:03:46,120 Speaker 1: Because art can be pretty much anything the Libs want 64 00:03:46,160 --> 00:03:48,960 Speaker 1: to funnel to their cronies and call it art. But 65 00:03:49,600 --> 00:03:52,360 Speaker 1: on top of that, just what do you think of it? Overall? 66 00:03:53,040 --> 00:03:57,040 Speaker 2: Well, I definitely think that it's okay for taxpayer dollars 67 00:03:57,080 --> 00:03:59,920 Speaker 2: to go to art. I think that cultural significance is 68 00:04:00,080 --> 00:04:03,520 Speaker 2: definitely important, So to dismiss it as not being necessary 69 00:04:03,560 --> 00:04:06,760 Speaker 2: I don't think is fair or accurate. But this particular 70 00:04:07,400 --> 00:04:11,800 Speaker 2: thing is quite hilarious, and it's like she's not even 71 00:04:11,840 --> 00:04:14,400 Speaker 2: really dressed like a traditional woman is. So I just 72 00:04:14,440 --> 00:04:19,720 Speaker 2: really don't understand the purpose or the cultural significance of it. 73 00:04:18,920 --> 00:04:22,599 Speaker 2: It's almost like laughably stupid. It's like they could have 74 00:04:22,640 --> 00:04:24,920 Speaker 2: her like, for example, if you were to go out 75 00:04:24,960 --> 00:04:27,599 Speaker 2: to pick up something from the bodega, you might dress 76 00:04:27,680 --> 00:04:31,120 Speaker 2: like this, But why couldn't they just be dressed normal, 77 00:04:31,240 --> 00:04:33,039 Speaker 2: like there were going out to an event or going 78 00:04:33,080 --> 00:04:35,720 Speaker 2: out to meet other people or be seen. It kind 79 00:04:35,720 --> 00:04:38,280 Speaker 2: of looks like she's going to the airport to catch 80 00:04:38,279 --> 00:04:40,359 Speaker 2: a flight, and she has this kind of weird stance 81 00:04:40,640 --> 00:04:42,320 Speaker 2: where she just almost looks angry. 82 00:04:42,680 --> 00:04:44,720 Speaker 3: So I don't get it. I hate it. I think 83 00:04:44,720 --> 00:04:45,360 Speaker 3: it's really dumb. 84 00:04:45,400 --> 00:04:47,039 Speaker 2: And there's a lot of other things that you could 85 00:04:47,040 --> 00:04:48,440 Speaker 2: have done that would have been a lot better than that. 86 00:04:48,560 --> 00:04:51,719 Speaker 3: But I'm not surprised. I can't say I'm surprised. 87 00:04:52,080 --> 00:04:55,640 Speaker 1: Yeah, I unfortunately, I was scrolling through X trying to, 88 00:04:55,720 --> 00:04:57,279 Speaker 1: you know, look for stories of the day at this 89 00:04:57,320 --> 00:05:00,279 Speaker 1: popped up, and like, yeah, I mean, of course, would 90 00:05:00,320 --> 00:05:03,360 Speaker 1: be a twelve foot bronze statue of a rotund black 91 00:05:03,400 --> 00:05:05,479 Speaker 1: woman in New York City? Why would there not be 92 00:05:05,560 --> 00:05:08,760 Speaker 1: pre you know, considering the fact that it seems like 93 00:05:08,839 --> 00:05:11,440 Speaker 1: the people that get this sort of funding tend to 94 00:05:11,480 --> 00:05:17,200 Speaker 1: come up with projects based on buzzwords like identity and representation, 95 00:05:17,360 --> 00:05:19,920 Speaker 1: I guess you know what else might be in the 96 00:05:19,960 --> 00:05:22,480 Speaker 1: works on the lefty side of the aisle here? And 97 00:05:22,520 --> 00:05:25,560 Speaker 1: will they continue to pound that sort of pavement and 98 00:05:25,640 --> 00:05:28,480 Speaker 1: continue putting out you know, nonsense like this. 99 00:05:29,480 --> 00:05:32,520 Speaker 4: My gosh, I mean, especially in liberal New York, anything 100 00:05:32,600 --> 00:05:35,360 Speaker 4: is possible, to be honest with you, I mean, the 101 00:05:35,400 --> 00:05:39,120 Speaker 4: next best thing could be, you know, a trans cat 102 00:05:39,240 --> 00:05:43,480 Speaker 4: who knows, but just tapping into any of the sort 103 00:05:43,560 --> 00:05:47,760 Speaker 4: of niche identities that the left loves to push on 104 00:05:48,000 --> 00:05:52,680 Speaker 4: the entirety of the population nowadays. It's really just beyond 105 00:05:52,720 --> 00:05:56,560 Speaker 4: ridiculous to me. I don't understand why we couldn't have, 106 00:05:56,720 --> 00:05:59,640 Speaker 4: like you said, found an individual that might represent these 107 00:05:59,680 --> 00:06:03,559 Speaker 4: ideas that you want to portray to the public through 108 00:06:03,800 --> 00:06:07,320 Speaker 4: these art pieces. But this is just a very I 109 00:06:07,360 --> 00:06:12,359 Speaker 4: mean saying an average looking person is might potentially generous, 110 00:06:12,400 --> 00:06:16,520 Speaker 4: to be honest with you, this visibly overweight individual that 111 00:06:16,800 --> 00:06:18,920 Speaker 4: may or may not be a black woman. I don't 112 00:06:18,960 --> 00:06:22,080 Speaker 4: understand exactly what that's supposed to represent in our culture. 113 00:06:22,160 --> 00:06:26,480 Speaker 4: I don't understand what positive attributes it it shows and portrays. 114 00:06:26,600 --> 00:06:30,200 Speaker 1: But hey, yeah, and to I think I'm with Bobby 115 00:06:30,240 --> 00:06:32,840 Speaker 1: in terms of, you know, art is good, culture is good, 116 00:06:33,279 --> 00:06:35,839 Speaker 1: and maybe we can find some people and promote them 117 00:06:35,880 --> 00:06:38,360 Speaker 1: to prominence by putting statues of them up in other word, 118 00:06:38,720 --> 00:06:42,039 Speaker 1: or or we can just put up random fictionalized characters. 119 00:06:42,600 --> 00:06:46,679 Speaker 1: Speaking of some woke stuff going on, the Department of Justice, 120 00:06:46,680 --> 00:06:48,800 Speaker 1: Pam Bondi is now said she's going to start looking 121 00:06:48,839 --> 00:06:53,240 Speaker 1: into the woke activist das who are not charging people 122 00:06:53,520 --> 00:06:56,520 Speaker 1: for crimes that they've committed. This one, specifically is a 123 00:06:56,560 --> 00:07:01,240 Speaker 1: district attorney in Minnesota who effectively openly created a two 124 00:07:01,400 --> 00:07:04,840 Speaker 1: tier legal system based on race. Bobby, I'm going to 125 00:07:04,920 --> 00:07:09,680 Speaker 1: read you something from her negotiation policy for cases involving 126 00:07:09,720 --> 00:07:13,800 Speaker 1: adult defendants. It says racial identity should be part of 127 00:07:13,840 --> 00:07:18,480 Speaker 1: the overall analysis and prosecutors quote should be identifying and 128 00:07:18,520 --> 00:07:23,440 Speaker 1: addressing racial disparities at decision points as appropriate. At what 129 00:07:23,920 --> 00:07:28,920 Speaker 1: point do is she aware of this being in direct 130 00:07:28,960 --> 00:07:32,760 Speaker 1: opposition to the Constitution and creating an equal playing field 131 00:07:32,760 --> 00:07:35,280 Speaker 1: for everybody? Or is it like delusion? Like it is 132 00:07:35,320 --> 00:07:38,360 Speaker 1: it done intentionally? Or does she not know that this 133 00:07:38,520 --> 00:07:41,880 Speaker 1: is a massive problem and part of the very thing 134 00:07:41,920 --> 00:07:43,960 Speaker 1: the United States was created to avoid. 135 00:07:45,280 --> 00:07:49,640 Speaker 2: Yeah, well, they have a habit of theoretically having the 136 00:07:49,680 --> 00:07:54,080 Speaker 2: best and most empathetic intentions, And it's like, as we 137 00:07:54,120 --> 00:07:55,600 Speaker 2: all know the saying, it's like the road to hell 138 00:07:55,720 --> 00:07:58,360 Speaker 2: is paved with good intentions. I understand what they're trying 139 00:07:58,520 --> 00:08:01,240 Speaker 2: to do, and I don't, and I don't necessarily believe 140 00:08:01,320 --> 00:08:04,560 Speaker 2: that every leftist inherently is just evil and bad and 141 00:08:04,600 --> 00:08:05,960 Speaker 2: just wants the worst things. 142 00:08:06,160 --> 00:08:07,600 Speaker 1: But when you actually see. 143 00:08:07,440 --> 00:08:10,239 Speaker 2: It played out in real time, and what it actually does, 144 00:08:10,480 --> 00:08:13,480 Speaker 2: it actually ends up hurting those exact people even more. 145 00:08:13,800 --> 00:08:17,560 Speaker 2: And the idea that you would treat people differently as 146 00:08:17,560 --> 00:08:20,000 Speaker 2: a result of their race to try to equalize some 147 00:08:20,080 --> 00:08:22,040 Speaker 2: type of playing field is only going to end up 148 00:08:22,040 --> 00:08:23,480 Speaker 2: making it worse anyhow. 149 00:08:23,760 --> 00:08:25,920 Speaker 3: And of course it is against. 150 00:08:25,960 --> 00:08:29,480 Speaker 2: Any legal any normal legal process, so it seems like 151 00:08:29,520 --> 00:08:32,959 Speaker 2: it would be illegal or at the very least unconstitutional whatever. 152 00:08:32,679 --> 00:08:33,560 Speaker 3: For them to not do it. 153 00:08:33,760 --> 00:08:36,320 Speaker 2: But it's going to have other negative ramifications as time 154 00:08:36,960 --> 00:08:39,840 Speaker 2: as time goes on. So it's obviously a bad thing, 155 00:08:40,400 --> 00:08:43,040 Speaker 2: and it's going to actually punish that group of people 156 00:08:43,320 --> 00:08:45,840 Speaker 2: even more than it's going to theoretically advance them. But 157 00:08:45,880 --> 00:08:48,120 Speaker 2: the only thing that they ever care about with every 158 00:08:48,200 --> 00:08:51,400 Speaker 2: single thing they do is scoring the woke points, scoring 159 00:08:51,480 --> 00:08:53,880 Speaker 2: the empathy points. Where it's like a person on the 160 00:08:53,960 --> 00:08:57,240 Speaker 2: left will say, I think that we should give money 161 00:08:57,240 --> 00:08:59,160 Speaker 2: to the homeless, or we should give free apartments to 162 00:08:59,200 --> 00:09:01,200 Speaker 2: the homeless because we don't want them to be homeless. 163 00:09:01,240 --> 00:09:03,920 Speaker 2: Isn't that empathetic. We're caring about these people. But really 164 00:09:03,960 --> 00:09:06,320 Speaker 2: what it does is just enable them to do more 165 00:09:06,400 --> 00:09:09,120 Speaker 2: bad things and create worse times for the people who 166 00:09:09,120 --> 00:09:11,240 Speaker 2: are not homeless that live in that area. You're not 167 00:09:11,280 --> 00:09:13,760 Speaker 2: actually helping them. You're not teaching them how to fish. 168 00:09:13,920 --> 00:09:15,920 Speaker 2: You're giving them a fish, and as a result, as 169 00:09:15,960 --> 00:09:17,680 Speaker 2: soon as they consume that fish, they have to go 170 00:09:17,720 --> 00:09:19,280 Speaker 2: and figure out a way to find another one, and 171 00:09:19,320 --> 00:09:21,480 Speaker 2: if they can't, they'll have to steal it from somebody else. 172 00:09:21,600 --> 00:09:23,880 Speaker 2: So you're not teaching them anything, you're not helping them, 173 00:09:24,040 --> 00:09:27,559 Speaker 2: you're only setting them back. So it's obviously generally bad. 174 00:09:27,760 --> 00:09:31,800 Speaker 1: Yeah, of course, Yeah, no, no disagreements here. Pria. This 175 00:09:32,280 --> 00:09:35,400 Speaker 1: da Mary Moriarty is the same one that didn't press 176 00:09:35,480 --> 00:09:39,160 Speaker 1: charges on the Minnesota employee, the state employee that went 177 00:09:39,160 --> 00:09:42,000 Speaker 1: around and vandalized a bunch of Tesla's. One of my 178 00:09:42,200 --> 00:09:44,920 Speaker 1: biggest problems, and maybe this will rub some people the 179 00:09:44,960 --> 00:09:48,840 Speaker 1: wrong way, is that at some point, at least some 180 00:09:48,920 --> 00:09:51,600 Speaker 1: people are trying to hide it. This seems so open 181 00:09:51,720 --> 00:09:54,000 Speaker 1: and brazen, and to me, that's like an insult to 182 00:09:54,040 --> 00:09:56,160 Speaker 1: my intelligence. It's almost like, I'm just gonna do this 183 00:09:56,240 --> 00:09:57,880 Speaker 1: in front of your face and you're not gonna care 184 00:09:57,920 --> 00:10:00,680 Speaker 1: at all about it. And I'm thinking, dude, you know 185 00:10:01,200 --> 00:10:03,040 Speaker 1: we're smarter than that. We can see this, and it's 186 00:10:03,080 --> 00:10:05,840 Speaker 1: in broad daylight. I don't know, is this an insult 187 00:10:05,840 --> 00:10:08,920 Speaker 1: to the American people's intelligence or is it just they 188 00:10:09,120 --> 00:10:13,239 Speaker 1: just don't think that this is inherently bad. 189 00:10:13,880 --> 00:10:15,680 Speaker 4: You know, I think it absolutely is an insult to 190 00:10:15,720 --> 00:10:19,240 Speaker 4: the American people's intelligence. To think that these prosecutors can 191 00:10:19,320 --> 00:10:23,320 Speaker 4: just get away with this selective policing and prosecution is 192 00:10:23,360 --> 00:10:28,559 Speaker 4: just ridiculous. I mean, it's completely unconstitutional, and to override 193 00:10:29,000 --> 00:10:32,920 Speaker 4: the individual rights that everybody has to equal protection under 194 00:10:32,960 --> 00:10:37,600 Speaker 4: the law, it's just ridiculous. And this selective prosecution under 195 00:10:37,600 --> 00:10:42,439 Speaker 4: the guise of race. Again, the left loves to push 196 00:10:42,520 --> 00:10:46,640 Speaker 4: this idea of reverse racism, like, no, it's just racism. 197 00:10:46,760 --> 00:10:49,120 Speaker 4: That's exactly what it is at the end of the day. 198 00:10:49,559 --> 00:10:52,600 Speaker 4: And like Bobby was mentioning, this notion of the bleeding 199 00:10:52,640 --> 00:10:54,680 Speaker 4: heart liberal is so true. A lot of people that 200 00:10:54,720 --> 00:10:57,200 Speaker 4: I know that our liberal are just the kindest and 201 00:10:57,240 --> 00:11:00,000 Speaker 4: most empathetic people that I could possibly image. 202 00:11:00,600 --> 00:11:01,479 Speaker 5: But they don't. 203 00:11:01,240 --> 00:11:05,000 Speaker 4: Realize that if you follow these ideas out to their 204 00:11:05,080 --> 00:11:07,920 Speaker 4: logical conclusions, that they just end up hurting the group 205 00:11:07,960 --> 00:11:09,160 Speaker 4: that you intend to help. 206 00:11:10,160 --> 00:11:13,320 Speaker 1: Yeah, it's the parent that just wants to be nice 207 00:11:13,360 --> 00:11:16,440 Speaker 1: and gives their kid dessert every single day all you 208 00:11:16,440 --> 00:11:19,000 Speaker 1: can eat donuts. It sounds good then, but it's not 209 00:11:19,040 --> 00:11:21,600 Speaker 1: so great when your kid has diabetes and is overweight, 210 00:11:21,600 --> 00:11:24,360 Speaker 1: and it's just a bad situation. Pre and Bobby will 211 00:11:24,360 --> 00:11:27,239 Speaker 1: be right back after the break to discuss these shocking 212 00:11:27,320 --> 00:11:29,600 Speaker 1: statistics and a new study reported in the New York 213 00:11:29,640 --> 00:11:32,240 Speaker 1: Post about whether or not the defund the police movement 214 00:11:32,360 --> 00:11:35,800 Speaker 1: actually worked. Also, doctor Jill Biden has a new job. 215 00:11:35,880 --> 00:11:37,960 Speaker 1: We'll discuss after the break. Don't go away, We'll be 216 00:11:38,040 --> 00:11:54,040 Speaker 1: right back after this. Welcome back to Turning Point tonight. 217 00:11:54,080 --> 00:11:56,679 Speaker 1: We're together. We are charting the course of America's cultural comeback. 218 00:11:56,720 --> 00:11:58,800 Speaker 1: Let's check in with White House correspondent for Turning Point, 219 00:11:58,840 --> 00:12:02,200 Speaker 1: Monica Page at the White House today. We were talking 220 00:12:02,360 --> 00:12:05,440 Speaker 1: briefly before this about the fact that it was not 221 00:12:05,520 --> 00:12:07,400 Speaker 1: a ton going on, but of the stuff that is 222 00:12:07,440 --> 00:12:09,200 Speaker 1: going on, Can you fill us in on what's happening? 223 00:12:09,240 --> 00:12:11,959 Speaker 1: And then I have an interesting question for you after that. 224 00:12:13,120 --> 00:12:15,360 Speaker 6: Sure, Well, I mean it seems like there's nothing going on, 225 00:12:15,400 --> 00:12:18,480 Speaker 6: at least not visually, but of course behind closed doors. 226 00:12:18,640 --> 00:12:22,559 Speaker 6: The President is hosting a ambassador at a China ceremony 227 00:12:22,600 --> 00:12:24,600 Speaker 6: swearing in, so he opened that up to some of 228 00:12:24,640 --> 00:12:27,880 Speaker 6: the media members to ask questions. But ultimately the press 229 00:12:27,880 --> 00:12:29,679 Speaker 6: briefing today that was supposed to be scheduled for one 230 00:12:29,679 --> 00:12:31,800 Speaker 6: pm was canceled just due to the fact that the 231 00:12:31,800 --> 00:12:34,520 Speaker 6: President wanted to open up the Oval Office to the media, 232 00:12:34,600 --> 00:12:37,199 Speaker 6: so you not only just have access to Caroline Leva, 233 00:12:37,280 --> 00:12:39,280 Speaker 6: but you always have access to the President himself on 234 00:12:39,320 --> 00:12:41,600 Speaker 6: a day to day basis. So even though it seems 235 00:12:41,600 --> 00:12:44,040 Speaker 6: like there's a quieter White House on the outside, there's 236 00:12:44,040 --> 00:12:45,479 Speaker 6: still a lot going on on the inside. 237 00:12:45,679 --> 00:12:48,479 Speaker 1: Well, it was fascinating when we were talking briefly beforehand, 238 00:12:48,559 --> 00:12:50,439 Speaker 1: You're like, yeah, there's not much going on. JD's a 239 00:12:50,679 --> 00:12:54,360 Speaker 1: at a munich or security conference. The President has a 240 00:12:54,400 --> 00:12:57,600 Speaker 1: swearing in for China, And it got me thinking, what 241 00:12:57,720 --> 00:13:00,520 Speaker 1: was the last administration like, because we're so, oh, we're 242 00:13:00,559 --> 00:13:02,320 Speaker 1: so fixated on what's going on in the White House. 243 00:13:02,360 --> 00:13:04,280 Speaker 1: Now that there's stuff going on and on and on. 244 00:13:04,400 --> 00:13:06,880 Speaker 1: The President is super busy keeping a schedule jam packed. 245 00:13:07,280 --> 00:13:10,320 Speaker 1: What did your colleagues do in the last administration. If 246 00:13:10,360 --> 00:13:13,640 Speaker 1: this is a boring day with the President hosting dignitaries 247 00:13:13,679 --> 00:13:15,319 Speaker 1: that are going to be out to foreign lens and 248 00:13:15,720 --> 00:13:18,000 Speaker 1: the Security Council, all that sort what did the average 249 00:13:18,040 --> 00:13:20,800 Speaker 1: day look like to your colleagues and are they exhausted now? 250 00:13:20,840 --> 00:13:22,760 Speaker 1: At this point, I. 251 00:13:22,720 --> 00:13:25,000 Speaker 6: Can tell you in confidence that we would show up 252 00:13:25,000 --> 00:13:28,080 Speaker 6: around eleven am Eastern time, stay for about two or 253 00:13:28,080 --> 00:13:30,079 Speaker 6: three hours. The White House will call it around two 254 00:13:30,080 --> 00:13:32,080 Speaker 6: pm Eastern time, and you wouldn't hear from the president 255 00:13:32,120 --> 00:13:34,600 Speaker 6: at all in the early evening or late evening at 256 00:13:34,640 --> 00:13:37,280 Speaker 6: that and just wouldn't hear from the president at all. 257 00:13:37,720 --> 00:13:40,160 Speaker 6: Even if there were going to be a press briefing, 258 00:13:40,559 --> 00:13:42,720 Speaker 6: it would be maybe about thirty to forty five minutes, 259 00:13:42,720 --> 00:13:45,240 Speaker 6: and you really wouldn't get any answers. It was always oh, 260 00:13:45,320 --> 00:13:47,040 Speaker 6: you know, I just don't have anything, or oh, like, 261 00:13:47,080 --> 00:13:50,320 Speaker 6: we'll circle back to you on that request. But it 262 00:13:50,360 --> 00:13:53,560 Speaker 6: was very very quiet. Not every single tent on this 263 00:13:54,040 --> 00:13:56,920 Speaker 6: pebble beach here was filled. There would be some reporters 264 00:13:56,960 --> 00:13:58,839 Speaker 6: that just wouldn't show up. Maybe they just be from 265 00:13:58,840 --> 00:14:00,680 Speaker 6: the office, maybe I don't know, but it was a 266 00:14:00,720 --> 00:14:02,880 Speaker 6: lot quieter than it is today, and it's not even 267 00:14:02,920 --> 00:14:03,439 Speaker 6: that quiet. 268 00:14:03,880 --> 00:14:06,680 Speaker 1: Yeah, really seriously, And you mentioned the president had lunch 269 00:14:06,679 --> 00:14:08,920 Speaker 1: with the vice president, and the vice president obviously is 270 00:14:08,960 --> 00:14:12,480 Speaker 1: participating in the Munich Security Conference. Can you talk a 271 00:14:12,520 --> 00:14:15,040 Speaker 1: little bit about what President Vice President Jady Vance was 272 00:14:15,360 --> 00:14:19,320 Speaker 1: saying there and where the Munich Security Conference actually happens 273 00:14:19,320 --> 00:14:19,520 Speaker 1: to be. 274 00:14:20,800 --> 00:14:23,800 Speaker 6: So, before I realized where the Munich Security Conference was, 275 00:14:24,200 --> 00:14:25,720 Speaker 6: I thought it was in Germany. It was right here 276 00:14:25,720 --> 00:14:27,920 Speaker 6: in Washington, d C. The entire time. So when I 277 00:14:27,920 --> 00:14:30,320 Speaker 6: was kind of doing some research into what exactly was 278 00:14:30,360 --> 00:14:32,960 Speaker 6: on the table for jd Vance at this summit, he 279 00:14:33,040 --> 00:14:36,680 Speaker 6: basically gave us an inside look into how this administration 280 00:14:36,800 --> 00:14:39,960 Speaker 6: is dealing with the Russia Ukraine conflict. And I think 281 00:14:40,000 --> 00:14:43,480 Speaker 6: what's interesting is that the United States has really been 282 00:14:43,480 --> 00:14:47,280 Speaker 6: trying to mediate the two nations, trying to appease both 283 00:14:47,320 --> 00:14:50,720 Speaker 6: sides and try to have conversations, to which jd Vance 284 00:14:50,800 --> 00:14:54,080 Speaker 6: is calling strategic realism. He used that as a way 285 00:14:54,160 --> 00:14:55,720 Speaker 6: to say, hey, you don't have to agree with the 286 00:14:55,760 --> 00:14:57,480 Speaker 6: other side or what the other side is trying to do, 287 00:14:57,640 --> 00:14:59,720 Speaker 6: but at least hear each other out and try to 288 00:14:59,760 --> 00:15:03,240 Speaker 6: come some kind of conclusion for what we understand. Russia 289 00:15:03,280 --> 00:15:06,360 Speaker 6: apparently wants peace, but apparently they've been asking for too much. 290 00:15:06,400 --> 00:15:07,200 Speaker 5: On their side. 291 00:15:07,400 --> 00:15:10,160 Speaker 6: Ukraine wants a thirty day cease fire, but Russia says 292 00:15:10,200 --> 00:15:13,200 Speaker 6: that doesn't fit into their strategic plan. So trying to 293 00:15:13,280 --> 00:15:16,360 Speaker 6: kind of mediate those two sides is kind of proving 294 00:15:16,360 --> 00:15:19,080 Speaker 6: to be a little bit difficult. So as a result, 295 00:15:19,120 --> 00:15:21,520 Speaker 6: the United States is really giving maybe four to five 296 00:15:21,560 --> 00:15:24,480 Speaker 6: weeks to kind of revisit the conversation overseas and then 297 00:15:24,480 --> 00:15:26,160 Speaker 6: dedicate a week at a time to kind of come 298 00:15:26,200 --> 00:15:28,320 Speaker 6: together and say, hey, how we decide don't on what 299 00:15:28,320 --> 00:15:30,840 Speaker 6: we want to do here moving forward. But the next 300 00:15:30,840 --> 00:15:33,160 Speaker 6: steps is, you know, how do we get both sides 301 00:15:33,200 --> 00:15:34,840 Speaker 6: to talk to each other. How do we get Ukraine 302 00:15:34,840 --> 00:15:36,440 Speaker 6: and Russia to come to the table, look at each 303 00:15:36,440 --> 00:15:38,359 Speaker 6: other face to face and try to figure. 304 00:15:38,120 --> 00:15:38,840 Speaker 5: Out a solution. 305 00:15:39,480 --> 00:15:42,280 Speaker 6: But since they won't really do that and you won't, 306 00:15:42,440 --> 00:15:45,200 Speaker 6: you know, agree to a cease fire, they're kind of 307 00:15:45,240 --> 00:15:48,360 Speaker 6: trying to see how would another long term plan kind 308 00:15:48,360 --> 00:15:50,360 Speaker 6: of look like in the area. And Jade Vance kind 309 00:15:50,360 --> 00:15:51,720 Speaker 6: of said, you know, if you talked to both sides 310 00:15:51,760 --> 00:15:54,320 Speaker 6: for about thirty minutes or so, both sides will kind 311 00:15:54,320 --> 00:15:55,960 Speaker 6: of just say how much they hate each other. And 312 00:15:55,960 --> 00:15:58,080 Speaker 6: at the end of the day, it's not about how 313 00:15:58,160 --> 00:16:00,520 Speaker 6: much you hate each other, It's about coming together and 314 00:16:00,520 --> 00:16:04,160 Speaker 6: seeing what looks best economically for both sides, the best interests, 315 00:16:04,240 --> 00:16:06,840 Speaker 6: So to see a little bit of an inside look 316 00:16:06,880 --> 00:16:08,880 Speaker 6: into how the United States is dealing with this. It 317 00:16:08,920 --> 00:16:12,200 Speaker 6: really was very interesting, and I believe that this administration 318 00:16:12,320 --> 00:16:15,040 Speaker 6: could see an end to this conflict in the maybe 319 00:16:15,080 --> 00:16:18,240 Speaker 6: coming months. Say, but it was definitely a very positive 320 00:16:18,800 --> 00:16:22,720 Speaker 6: and encouraging, reinforcing conversation on the world stage. 321 00:16:22,720 --> 00:16:26,200 Speaker 1: Of course, yeah, exactly. It's a very difficult and contentious 322 00:16:26,600 --> 00:16:27,880 Speaker 1: time to be in and I don't want to make 323 00:16:27,920 --> 00:16:30,320 Speaker 1: light of it, but the Munich Security Council in Washington, 324 00:16:30,400 --> 00:16:34,440 Speaker 1: d C. Reminds me of my beachfront Miami property in Tulsa, Oklahoma. 325 00:16:35,160 --> 00:16:37,640 Speaker 1: On a page turning point white, how correspondent, thanks so 326 00:16:37,720 --> 00:16:39,800 Speaker 1: much for joining us. Really appreciate it. We'll see you tomorrow. 327 00:16:40,520 --> 00:16:44,640 Speaker 1: Thanks so much, guys, Thank you now for more shocking information. 328 00:16:44,880 --> 00:16:49,040 Speaker 1: The defund the police movement was ubiquitous around the country, 329 00:16:49,080 --> 00:16:53,000 Speaker 1: wokes everywhere in major cities across the country saying we 330 00:16:53,240 --> 00:16:58,200 Speaker 1: have to defund the police. If only someone would have mentioned, hey, 331 00:16:58,440 --> 00:17:01,840 Speaker 1: that's that's not a good idea, then maybe they wouldn't 332 00:17:01,880 --> 00:17:03,800 Speaker 1: have done it. But unfortunately they did. And now the 333 00:17:03,840 --> 00:17:06,400 Speaker 1: stats are out. In a new report that was reported 334 00:17:06,440 --> 00:17:09,080 Speaker 1: on in the New York Post. Some of the statistics 335 00:17:09,440 --> 00:17:11,960 Speaker 1: may shock you. Let's bring our panel back before we 336 00:17:12,000 --> 00:17:16,240 Speaker 1: talk about some of these just unbelievable statistics that everyone 337 00:17:16,320 --> 00:17:21,679 Speaker 1: saw coming Bobby. The report says this, the arrests and 338 00:17:21,880 --> 00:17:25,640 Speaker 1: stops went down forty percent in the post George Floyd era. 339 00:17:25,920 --> 00:17:28,399 Speaker 1: And while arrest and stops by the police went down, 340 00:17:28,720 --> 00:17:31,680 Speaker 1: the number of murders went up by fifty four percent. Now, 341 00:17:31,720 --> 00:17:36,200 Speaker 1: when that rebounded, the arrest and stops rebounded, going up 342 00:17:36,200 --> 00:17:40,200 Speaker 1: about thirty seven percent, and murders went down about thirty 343 00:17:40,200 --> 00:17:42,879 Speaker 1: two percent. It seems to be a direct correlation. The 344 00:17:42,920 --> 00:17:46,119 Speaker 1: more stops and arrest police make, the less people get killed. 345 00:17:46,560 --> 00:17:49,480 Speaker 1: I think that's a good thing. I probably could have 346 00:17:49,560 --> 00:17:51,879 Speaker 1: told you, and I probably definitely could have told you 347 00:17:51,920 --> 00:17:54,119 Speaker 1: that that was exactly what was going to happen. But 348 00:17:55,480 --> 00:17:58,040 Speaker 1: you know, I feel like this is repetitive. But at 349 00:17:58,080 --> 00:18:00,840 Speaker 1: what point is it going to go through the heads 350 00:18:00,840 --> 00:18:03,479 Speaker 1: of the libs that the fluffies down. Stuff like we 351 00:18:03,480 --> 00:18:06,880 Speaker 1: were talking about last segment isn't good. Sounds good, doesn't work. 352 00:18:06,920 --> 00:18:08,399 Speaker 1: It's kind of a saying we have on the right 353 00:18:08,440 --> 00:18:09,280 Speaker 1: side of things. 354 00:18:10,000 --> 00:18:13,280 Speaker 2: Yeah, I mean, I remember, I remember when right after 355 00:18:13,320 --> 00:18:15,879 Speaker 2: George Floyd. I remember them talking about I remember reading 356 00:18:15,880 --> 00:18:19,480 Speaker 2: news articles about how about how police officers were not 357 00:18:19,640 --> 00:18:23,119 Speaker 2: pulling over people of color that were driving and speeding 358 00:18:23,359 --> 00:18:26,200 Speaker 2: on the highway because they were afraid of being labeled 359 00:18:26,240 --> 00:18:28,680 Speaker 2: as racist by pulling these people over. 360 00:18:28,840 --> 00:18:30,920 Speaker 3: And as a result, all of the car. 361 00:18:30,720 --> 00:18:33,560 Speaker 2: Accident deaths and motor vehicle deaths for people of color 362 00:18:33,760 --> 00:18:35,840 Speaker 2: started to go up as a result. So it's like 363 00:18:36,520 --> 00:18:38,959 Speaker 2: the thing that always again, like I was saying before, 364 00:18:39,440 --> 00:18:42,680 Speaker 2: is that I understand what they're theoretically trying to do, 365 00:18:42,760 --> 00:18:45,399 Speaker 2: but how it actually plays out in practice is not 366 00:18:45,520 --> 00:18:49,639 Speaker 2: important to your virtue signaling. Like general leftoid, it's like 367 00:18:49,720 --> 00:18:52,440 Speaker 2: they don't really care what happens. All they care about 368 00:18:52,480 --> 00:18:56,639 Speaker 2: is being perceived as virtuous by endorsing the policy that 369 00:18:57,359 --> 00:18:59,720 Speaker 2: should work in theory, but actually doesn't. 370 00:19:00,000 --> 00:19:02,000 Speaker 3: You only believe that it would work in theory. 371 00:19:01,720 --> 00:19:03,560 Speaker 2: If you don't care about results and you don't care 372 00:19:03,600 --> 00:19:06,240 Speaker 2: about consequences, and you don't look at what happens later. 373 00:19:06,400 --> 00:19:08,560 Speaker 2: It's almost like if you release a headline in the 374 00:19:08,560 --> 00:19:11,000 Speaker 2: newspaper and then when it turns out to not be true, 375 00:19:11,119 --> 00:19:14,240 Speaker 2: you put the redaction on page fifteen in the last paragraph. 376 00:19:14,400 --> 00:19:17,240 Speaker 2: They don't care about what actually occurs. They only care 377 00:19:17,280 --> 00:19:20,520 Speaker 2: about appearing empathetic at the beginning. So is it any 378 00:19:20,520 --> 00:19:23,120 Speaker 2: surprise to anybody that more people are getting murdered when 379 00:19:23,160 --> 00:19:25,040 Speaker 2: you take the cops out of these neighborhoods. And on 380 00:19:25,080 --> 00:19:27,280 Speaker 2: top of that, I saw in a video the other 381 00:19:27,359 --> 00:19:30,600 Speaker 2: day where people were like, police are racist because there's 382 00:19:30,680 --> 00:19:33,760 Speaker 2: more cops in the brown neighborhoods. And it's just like 383 00:19:33,960 --> 00:19:36,679 Speaker 2: when the police officers come into the building at the 384 00:19:36,680 --> 00:19:39,680 Speaker 2: beginning of the morning, they're like, here's where the crimes are, 385 00:19:39,880 --> 00:19:41,560 Speaker 2: here's where we need to go. The fact that it 386 00:19:41,680 --> 00:19:44,320 Speaker 2: ends up being those people isn't a decision based on 387 00:19:44,359 --> 00:19:47,439 Speaker 2: the race, because if more murders were happening in the 388 00:19:47,760 --> 00:19:51,400 Speaker 2: quote unquote white neighborhood or the Filipino neighborhood, they would 389 00:19:51,400 --> 00:19:54,000 Speaker 2: be there. So it's like they don't really care about 390 00:19:54,000 --> 00:19:56,640 Speaker 2: how things cause an effect. They don't care about connecting 391 00:19:56,680 --> 00:19:59,040 Speaker 2: the dots of what really happens. The only thing that 392 00:19:59,080 --> 00:20:01,520 Speaker 2: matters in the mind of your average left tooid is 393 00:20:01,600 --> 00:20:04,560 Speaker 2: perceiving as empathetic and then and then putting it out 394 00:20:04,600 --> 00:20:07,040 Speaker 2: there to prove that you're one of theirs, you're on 395 00:20:07,160 --> 00:20:09,840 Speaker 2: their side, and you're a you're a virtuous person, but 396 00:20:09,960 --> 00:20:12,840 Speaker 2: you don't care about what actually happens. And then they say, well, look, 397 00:20:12,880 --> 00:20:14,920 Speaker 2: I care about people, and it's like, if you cared 398 00:20:14,920 --> 00:20:18,200 Speaker 2: about people, you'd care about the results. So we actually 399 00:20:18,240 --> 00:20:20,440 Speaker 2: tend to care more about them because we care about 400 00:20:20,440 --> 00:20:23,680 Speaker 2: what's actually happening, not how it makes us look. That's 401 00:20:23,720 --> 00:20:24,440 Speaker 2: the important thing. 402 00:20:24,600 --> 00:20:26,760 Speaker 1: Yeah, you bring up a good point. When they do 403 00:20:26,880 --> 00:20:30,040 Speaker 1: a few corrections or accidentally say something true. I guarantee 404 00:20:30,080 --> 00:20:31,359 Speaker 1: I don't have any proof of this right now, but 405 00:20:31,440 --> 00:20:33,640 Speaker 1: because I haven't looked, but I guarantee you like, there's 406 00:20:33,640 --> 00:20:37,119 Speaker 1: some mother Jones article out there that has defund the police, 407 00:20:37,160 --> 00:20:39,679 Speaker 1: and then like it's a twenty two paragraph article, and 408 00:20:39,760 --> 00:20:41,960 Speaker 1: like paragraph twenty one. By the way, none of this 409 00:20:42,000 --> 00:20:45,199 Speaker 1: actually worked, so and that's yeah, that's that's how they 410 00:20:45,200 --> 00:20:49,359 Speaker 1: do things. Uh, Priya, everybody and their mother could have said, hey, 411 00:20:49,400 --> 00:20:52,480 Speaker 1: this isn't gonna work. Why wasn't such a big movement 412 00:20:52,520 --> 00:20:55,960 Speaker 1: in your opinion, just kind of being around it, especially 413 00:20:56,000 --> 00:20:58,720 Speaker 1: being in a blue state. Why was this such a 414 00:20:58,840 --> 00:21:03,200 Speaker 1: massive movement that didn't stop really until it just kind 415 00:21:03,200 --> 00:21:05,360 Speaker 1: of lost Furvor. It wasn't like the logic took over. 416 00:21:05,560 --> 00:21:07,920 Speaker 1: It just kind of fizzled out. How did it get 417 00:21:07,960 --> 00:21:08,880 Speaker 1: to be such a big thing. 418 00:21:10,200 --> 00:21:12,480 Speaker 4: Yeah, well, you make you make a really great point 419 00:21:12,480 --> 00:21:14,040 Speaker 4: when you say that it just kind of fizzled out. 420 00:21:14,080 --> 00:21:17,399 Speaker 4: There was no actual correction even on this, even in 421 00:21:17,440 --> 00:21:20,240 Speaker 4: part of the politicians that pushed for these agendas and 422 00:21:20,280 --> 00:21:22,560 Speaker 4: these policies to defund the police. 423 00:21:22,920 --> 00:21:24,360 Speaker 5: The problem is is that, like. 424 00:21:24,359 --> 00:21:28,480 Speaker 4: Bobby mentioned, a lot of these neighborhoods that have high murder, 425 00:21:28,560 --> 00:21:34,000 Speaker 4: high crime rates are minority neighborhoods. And what these cities 426 00:21:34,040 --> 00:21:37,480 Speaker 4: neighborhoods need is more policing, not less policing, to protect 427 00:21:37,520 --> 00:21:41,560 Speaker 4: the population that actually isn't committing the crimes. 428 00:21:41,960 --> 00:21:45,320 Speaker 5: But yeah, I don't know, it's just it's. 429 00:21:45,240 --> 00:21:48,959 Speaker 4: Really ridiculous to me that these types of agendas just 430 00:21:49,359 --> 00:21:54,560 Speaker 4: over time keep getting pushed time and time again. And yeah, 431 00:21:54,720 --> 00:21:58,840 Speaker 4: like Bobby said, it's in large part the bleeding heart liberal. 432 00:21:59,280 --> 00:22:03,440 Speaker 4: But you know, it's just again not following these policies 433 00:22:03,480 --> 00:22:07,520 Speaker 4: and these ideas to their logical conclusions. Right, les police 434 00:22:07,560 --> 00:22:09,520 Speaker 4: means more crime at the end of the day. That's 435 00:22:09,640 --> 00:22:11,440 Speaker 4: just the simple fact of it. And like you said, 436 00:22:11,560 --> 00:22:14,679 Speaker 4: everybody and their mother did say this, But you know, 437 00:22:15,080 --> 00:22:17,919 Speaker 4: it's just it's a fallacy of not being able to 438 00:22:18,040 --> 00:22:22,119 Speaker 4: actually think through the conclusions of what you're trying to 439 00:22:22,160 --> 00:22:22,880 Speaker 4: do and get done. 440 00:22:23,600 --> 00:22:27,119 Speaker 1: Yeah, speaking of the libtoids that would believe in that 441 00:22:27,160 --> 00:22:30,120 Speaker 1: sort of thing, Doctor Jill Biden has a new job. 442 00:22:30,280 --> 00:22:34,280 Speaker 1: She's going to be leading the California based think tank, 443 00:22:34,359 --> 00:22:38,600 Speaker 1: the Milken Group based in Santa Monica, in the initiative 444 00:22:38,640 --> 00:22:42,920 Speaker 1: aimed at improving women's health. Now Priya, as a doctor, 445 00:22:43,200 --> 00:22:46,359 Speaker 1: I would hope that doctor Jill Biden would have a 446 00:22:46,400 --> 00:22:48,639 Speaker 1: lot of say in the women's health Do you think 447 00:22:48,720 --> 00:22:51,120 Speaker 1: she'll make a huge impact here. 448 00:22:52,560 --> 00:22:56,560 Speaker 4: You know, with her doctorate that she has as a teacher, 449 00:22:56,680 --> 00:22:59,480 Speaker 4: you know, I think she's gonna make a large, large 450 00:22:59,480 --> 00:23:02,359 Speaker 4: impact the medical community, you know. I mean, at the 451 00:23:02,440 --> 00:23:06,080 Speaker 4: end of the day, it's just really ridiculous that for 452 00:23:06,160 --> 00:23:09,680 Speaker 4: so long this was such a contentious topic on whether 453 00:23:09,800 --> 00:23:14,680 Speaker 4: to call her missus Biden or doctor Biden. It's just ridiculous. 454 00:23:14,720 --> 00:23:17,720 Speaker 4: You are not a physician, you are not a licensed physician. 455 00:23:17,800 --> 00:23:20,879 Speaker 4: You do not earn that title, and for it to 456 00:23:20,960 --> 00:23:23,760 Speaker 4: be such a such a passionate issue on her part 457 00:23:23,880 --> 00:23:24,920 Speaker 4: is just ridiculous. 458 00:23:25,840 --> 00:23:26,040 Speaker 1: You know. 459 00:23:26,200 --> 00:23:30,280 Speaker 4: I the initiative is a great idea, you know, improving 460 00:23:30,400 --> 00:23:34,520 Speaker 4: studies within a woman's health. But I really don't see 461 00:23:34,560 --> 00:23:38,600 Speaker 4: how doctor Jill specifically is going to make any any 462 00:23:39,000 --> 00:23:40,760 Speaker 4: large headway in this issue. 463 00:23:41,280 --> 00:23:43,679 Speaker 1: She's a doctor, Whoopi Goldberg wanted her to be the 464 00:23:43,720 --> 00:23:49,199 Speaker 1: surgeon general. How could she not? Bobby Not not to 465 00:23:49,240 --> 00:23:51,879 Speaker 1: take this too much more seriously. But here here's what 466 00:23:51,920 --> 00:23:53,879 Speaker 1: I see about this. First of all, why would you 467 00:23:53,920 --> 00:23:57,560 Speaker 1: not just retire? To me, this is kind of justification 468 00:23:57,760 --> 00:24:00,480 Speaker 1: or verification that Jill was the one the White House 469 00:24:00,480 --> 00:24:03,320 Speaker 1: pulling the string saying run, Joe, just keep running. I 470 00:24:03,440 --> 00:24:06,120 Speaker 1: want to stay in it. This seems to me if 471 00:24:06,119 --> 00:24:07,840 Speaker 1: her wanting to stay in it, and it's kind of 472 00:24:07,880 --> 00:24:10,800 Speaker 1: proof of that. And I don't know, does that justify 473 00:24:10,840 --> 00:24:12,320 Speaker 1: it in your mind that she was the one pull 474 00:24:12,359 --> 00:24:15,200 Speaker 1: in the strings trying to keep the decrepit old president 475 00:24:15,240 --> 00:24:16,639 Speaker 1: house plant in the running. 476 00:24:17,280 --> 00:24:19,680 Speaker 2: Well, I think that is obviously true. I think that 477 00:24:19,720 --> 00:24:22,560 Speaker 2: we all saw and witnessed that, so that is a certainty. 478 00:24:22,640 --> 00:24:26,240 Speaker 2: But it's actually interesting how I see this, because I 479 00:24:26,280 --> 00:24:29,359 Speaker 2: believe that it's actually like a symbiotic relationship, whereas this 480 00:24:29,480 --> 00:24:33,960 Speaker 2: institute gets pressed and gets attention and gets notoriety and 481 00:24:34,080 --> 00:24:37,879 Speaker 2: ultimately will attract donors as a result of her name recognition, 482 00:24:38,119 --> 00:24:41,360 Speaker 2: and it also allows her to basically play as if 483 00:24:41,359 --> 00:24:44,240 Speaker 2: she is significant or actually matters. And it's yet another 484 00:24:44,280 --> 00:24:47,680 Speaker 2: perfect example of caring about how something looks, not caring 485 00:24:47,680 --> 00:24:48,760 Speaker 2: about what actually happens. 486 00:24:48,880 --> 00:24:50,480 Speaker 3: I would guarantee you that there's a. 487 00:24:50,480 --> 00:24:53,840 Speaker 2: Prominent woman that is highly intelligent in these fields of 488 00:24:53,880 --> 00:24:56,200 Speaker 2: health that could do something that would be really impactful 489 00:24:56,200 --> 00:24:59,320 Speaker 2: and important, but it might not garner as many headlines. 490 00:24:59,440 --> 00:25:01,440 Speaker 2: So instead of taking the person that could actually do 491 00:25:01,480 --> 00:25:04,080 Speaker 2: something that could draw attention to the institute as a 492 00:25:04,119 --> 00:25:07,320 Speaker 2: result of the positive output of what they're creating, they 493 00:25:07,359 --> 00:25:09,440 Speaker 2: would rather just give. They would rather just bring a 494 00:25:09,480 --> 00:25:11,560 Speaker 2: person in that is going to be purely a headline, 495 00:25:11,640 --> 00:25:13,800 Speaker 2: that is purely going to be a show person. And 496 00:25:13,840 --> 00:25:17,600 Speaker 2: for doctor Jill, she absolutely loves it because she wants 497 00:25:17,640 --> 00:25:19,840 Speaker 2: to be relevant. She wants to be on the cover 498 00:25:19,880 --> 00:25:21,560 Speaker 2: of Vogue, she wants to be on the cover of 499 00:25:21,600 --> 00:25:25,480 Speaker 2: Vanity Fair. She loves that attention, and anything that could 500 00:25:25,520 --> 00:25:28,880 Speaker 2: continue to bring her into the spotlight she's gonna obviously take. 501 00:25:29,040 --> 00:25:31,320 Speaker 2: So they're both kind of like grifting off of each other, 502 00:25:31,600 --> 00:25:33,920 Speaker 2: and the person that loses is the person that would 503 00:25:33,920 --> 00:25:36,679 Speaker 2: benefit as a result of this institute doing something that 504 00:25:36,760 --> 00:25:39,359 Speaker 2: really is significant to health. She's not going to contribute 505 00:25:39,560 --> 00:25:42,600 Speaker 2: anything of any value. She's only going to get headlines. 506 00:25:42,600 --> 00:25:45,320 Speaker 2: And a lot of those headlines are going to be consumed, recirculated, 507 00:25:45,359 --> 00:25:48,320 Speaker 2: and regurgitated by us people that think it's hilarious, but 508 00:25:48,359 --> 00:25:51,400 Speaker 2: they don't care. All they want is eyeballs. All they 509 00:25:51,440 --> 00:25:54,159 Speaker 2: believe is that what matters is the optics, not what 510 00:25:54,240 --> 00:25:58,000 Speaker 2: actually comes through. And there's probably another health professional boss 511 00:25:58,080 --> 00:26:00,960 Speaker 2: female that could produce a lot wouldn't get the headlines 512 00:26:01,000 --> 00:26:03,239 Speaker 2: that would ultimately be more beneficial to their cause, but 513 00:26:03,240 --> 00:26:05,359 Speaker 2: they completely overlooked it for doctor Jilly. 514 00:26:05,840 --> 00:26:08,280 Speaker 1: Yeah, they looked at doctor Joe Biden and said, see, 515 00:26:08,359 --> 00:26:11,800 Speaker 1: say Puadway, you can totally do whatever it is that 516 00:26:11,800 --> 00:26:13,639 Speaker 1: this is requiring prey. But tell Bobby Sauce, thank you 517 00:26:13,640 --> 00:26:15,440 Speaker 1: guys so much for joining us. Really appreciate you taking 518 00:26:15,480 --> 00:26:16,119 Speaker 1: the time. 519 00:26:16,359 --> 00:26:16,879 Speaker 3: My pleasure. 520 00:26:17,160 --> 00:26:20,280 Speaker 1: Thank you you coming up a fascinating Cliff and Ox 521 00:26:20,320 --> 00:26:22,720 Speaker 1: Clark's Culture Apothecary podcast. Don't go ahead, we'll be right 522 00:26:22,760 --> 00:26:23,399 Speaker 1: back after this. 523 00:26:40,200 --> 00:26:43,040 Speaker 7: You brought up testosterone. We need to have a come 524 00:26:43,040 --> 00:26:46,199 Speaker 7: to Jesus talk with the men. Yeah, we're seeing a 525 00:26:46,600 --> 00:26:52,040 Speaker 7: terrifying testosterone crisis, right, So what is happening and what 526 00:26:52,119 --> 00:26:54,680 Speaker 7: will it mean for civilization if we do not fix this? 527 00:26:55,000 --> 00:26:57,680 Speaker 8: When we look at the statistics of how far men's 528 00:26:57,680 --> 00:27:00,600 Speaker 8: testosterone levels have plummeted over the last fifty d plus years, 529 00:27:00,640 --> 00:27:03,640 Speaker 8: it's absolutely staggering. It's around thirty five percent that would 530 00:27:03,720 --> 00:27:06,679 Speaker 8: be a man in their twenties today has an average 531 00:27:06,720 --> 00:27:10,560 Speaker 8: testosterone of a man did in their seventies back fifty 532 00:27:10,560 --> 00:27:11,320 Speaker 8: plus years ago. 533 00:27:11,520 --> 00:27:13,520 Speaker 5: So, then is the fertility crisis that we're seeing. 534 00:27:13,640 --> 00:27:16,200 Speaker 7: Is it equal blame between men and women of stuff 535 00:27:16,240 --> 00:27:18,159 Speaker 7: that's going on with us, or is there. 536 00:27:18,000 --> 00:27:18,880 Speaker 5: A lot on the men Here? 537 00:27:18,920 --> 00:27:23,680 Speaker 8: Statistically it's still skews towards the women, but men, more 538 00:27:23,800 --> 00:27:27,920 Speaker 8: now than ever before, are also are contributing, There's no 539 00:27:27,960 --> 00:27:28,560 Speaker 8: doubt about it. 540 00:27:28,600 --> 00:27:30,919 Speaker 5: And why are we seeing these testosterone levels drop like this? 541 00:27:31,119 --> 00:27:37,080 Speaker 8: Well, I think there's a combination of dietary toxicity and 542 00:27:37,480 --> 00:27:40,760 Speaker 8: cultural and so here's what I mean. So when you 543 00:27:40,880 --> 00:27:46,840 Speaker 8: look at chemicals like roundup in glychosate, those definitely decrease 544 00:27:47,080 --> 00:27:49,240 Speaker 8: testosterone levels. When you look at stalates, these are found 545 00:27:49,240 --> 00:27:51,680 Speaker 8: in everything from the receipts we buy at stores. Those 546 00:27:51,720 --> 00:27:58,920 Speaker 8: have chemicals that decrease testosterone. Plastics, microplastics increase estrogen, decreased testosterone. 547 00:27:59,359 --> 00:28:03,200 Speaker 8: The food we're eating, like vegan diets, those decreased testosterone. 548 00:28:03,240 --> 00:28:05,840 Speaker 8: So a lot of our the foods we're not getting 549 00:28:05,840 --> 00:28:08,200 Speaker 8: the nutrients were not getting from red meat and organ 550 00:28:08,240 --> 00:28:11,000 Speaker 8: meats and nuts and seeds, some of those those are 551 00:28:11,040 --> 00:28:13,280 Speaker 8: a lot of the testosterrum boosting foods. 552 00:28:13,400 --> 00:28:16,600 Speaker 7: Is ultra processed food contributing to the testosterone crisis, Like 553 00:28:16,640 --> 00:28:18,560 Speaker 7: guys that are going to wednies every day, from. 554 00:28:18,480 --> 00:28:21,720 Speaker 8: Life absolutely, seed oils, process foods, all of these again 555 00:28:22,119 --> 00:28:24,720 Speaker 8: boost estrogen, decreased testosterone. 556 00:28:24,760 --> 00:28:27,199 Speaker 5: Oh my gosh, Oh my gosh. The fast food is 557 00:28:27,200 --> 00:28:27,919 Speaker 5: feminizing the men. 558 00:28:28,119 --> 00:28:29,960 Speaker 7: So for the women that are like I just don't 559 00:28:30,000 --> 00:28:31,520 Speaker 7: know what to do, Alex, I'm so on board with 560 00:28:31,560 --> 00:28:33,719 Speaker 7: all of this, but my husband, like, I can't convince him. 561 00:28:33,760 --> 00:28:35,240 Speaker 5: I don't know what to say to convince him. 562 00:28:35,600 --> 00:28:38,800 Speaker 7: I feel like saying, what you're door dashing every day, 563 00:28:38,840 --> 00:28:42,800 Speaker 7: where you're going on lunch at work, it is making 564 00:28:42,840 --> 00:28:43,720 Speaker 7: you more womanly. 565 00:28:44,120 --> 00:28:46,200 Speaker 3: It's it's destroying testosterone. Men. 566 00:28:46,240 --> 00:28:50,440 Speaker 8: Absolutely, all the altar processed food is destroying tesosterone and men. 567 00:28:50,680 --> 00:28:53,680 Speaker 8: And what men can do is just pick a different 568 00:28:53,720 --> 00:28:59,640 Speaker 8: restaurant to DoorDash from, buy from Kava, or a faux restaurant, 569 00:29:00,360 --> 00:29:03,080 Speaker 8: buy you know, whole Food's market, true food kitchen. I mean, 570 00:29:03,280 --> 00:29:05,520 Speaker 8: there are other options out there where you can buy 571 00:29:05,680 --> 00:29:09,920 Speaker 8: organic meat and even whole grain bread. You have your 572 00:29:09,920 --> 00:29:12,360 Speaker 8: wife makes sour dough for you. And second there's some 573 00:29:12,480 --> 00:29:14,760 Speaker 8: you know, sliced turkey meat. But let me say a 574 00:29:14,760 --> 00:29:17,120 Speaker 8: few other things about testosterone, Yes, that people need to 575 00:29:17,120 --> 00:29:18,960 Speaker 8: know about. It's not just the men that have a 576 00:29:18,960 --> 00:29:20,000 Speaker 8: low testosterone. 577 00:29:20,400 --> 00:29:20,720 Speaker 5: Women. 578 00:29:21,160 --> 00:29:23,120 Speaker 3: A lot of women now have very. 579 00:29:23,000 --> 00:29:26,000 Speaker 8: Low testosterone as well, and it's because the microplastics, the 580 00:29:26,040 --> 00:29:29,520 Speaker 8: processed food. The other thing is it's the feminization of society. Now, 581 00:29:29,560 --> 00:29:31,920 Speaker 8: I know this might be a little bit controversial for 582 00:29:31,960 --> 00:29:34,640 Speaker 8: my audience, but yeah, you're right exactly, not for your audience. 583 00:29:34,720 --> 00:29:40,000 Speaker 8: We have glorified it's not even true feminism, but feminism today. 584 00:29:40,120 --> 00:29:42,600 Speaker 8: But it's more the feminization of men. So it's like 585 00:29:42,600 --> 00:29:43,680 Speaker 8: we're trying to make. 586 00:29:43,720 --> 00:29:45,760 Speaker 5: Like victimhood almonds, women more. 587 00:29:45,680 --> 00:29:50,200 Speaker 8: Like men and men more like women. And there's a 588 00:29:50,200 --> 00:29:52,280 Speaker 8: study I came across on one of the number one 589 00:29:52,280 --> 00:29:54,480 Speaker 8: things you could do to build testosterone, and you know 590 00:29:54,520 --> 00:29:58,760 Speaker 8: what it was men going out and chopping would love. 591 00:29:59,040 --> 00:30:01,120 Speaker 7: Yes, let's set up a camera and you know what, 592 00:30:01,400 --> 00:30:03,960 Speaker 7: and we can judge it. 593 00:30:03,880 --> 00:30:06,800 Speaker 8: Was actually more effective than playing sports like soccer and 594 00:30:06,880 --> 00:30:10,120 Speaker 8: basketball and other athletic events. Going out and chopping in 595 00:30:10,280 --> 00:30:12,280 Speaker 8: the backyard for men, And I think there's a combination 596 00:30:12,360 --> 00:30:15,360 Speaker 8: of it's a full body activity, but also it makes 597 00:30:15,400 --> 00:30:16,680 Speaker 8: you feel like a man. I can tell you when 598 00:30:16,680 --> 00:30:18,280 Speaker 8: my dad brought me out in my yard when I 599 00:30:18,320 --> 00:30:20,000 Speaker 8: was a kid and he taught me how to chot 600 00:30:20,040 --> 00:30:22,200 Speaker 8: fire what it was probably the most outside of shooting 601 00:30:22,200 --> 00:30:24,440 Speaker 8: a bone arrow, Those are like the most manly things 602 00:30:24,480 --> 00:30:26,600 Speaker 8: I remember my dad ever teaching me to do. So 603 00:30:26,680 --> 00:30:28,680 Speaker 8: I think men have lost the art of being men. 604 00:30:28,760 --> 00:30:31,960 Speaker 8: A lot of men today, when your testosterone goes down, 605 00:30:32,240 --> 00:30:35,120 Speaker 8: you don't feel motivated, you don't pursue your wife as much, 606 00:30:35,120 --> 00:30:38,040 Speaker 8: you're not attracted, you're not as attractive yourself. All of 607 00:30:38,080 --> 00:30:40,160 Speaker 8: those things start to happen. But there's a lot of 608 00:30:40,200 --> 00:30:42,920 Speaker 8: men today that are demotivated. They're not as ambitious as 609 00:30:42,920 --> 00:30:45,200 Speaker 8: they ambitious as they used to be. And I think 610 00:30:45,200 --> 00:30:46,920 Speaker 8: a lot of women see that and they're like, what's 611 00:30:46,960 --> 00:30:49,760 Speaker 8: going on with my husband, what's going on with my 612 00:30:50,560 --> 00:30:53,920 Speaker 8: mate here? And their testosterone has crashed, and so a 613 00:30:53,920 --> 00:30:54,600 Speaker 8: few things they. 614 00:30:54,480 --> 00:30:55,000 Speaker 3: Can do it. 615 00:30:55,200 --> 00:30:59,640 Speaker 8: They need They need more certified organic grass fed red meat, 616 00:30:59,680 --> 00:31:02,920 Speaker 8: so they need more meat. Brazil Nuts are great, walnuts 617 00:31:02,960 --> 00:31:06,240 Speaker 8: are great, more healthy fasts from coconut herbs like gin 618 00:31:06,400 --> 00:31:10,160 Speaker 8: seing herbs like Ashwa, ganda, fenya, Greek cinnamon, and they 619 00:31:10,200 --> 00:31:12,760 Speaker 8: need to be working out and hanging out with other 620 00:31:12,960 --> 00:31:15,719 Speaker 8: masculine guys is maybe the single greatest thing they can do, 621 00:31:15,960 --> 00:31:19,160 Speaker 8: along with chopping wood to help get those testosterone levels up. 622 00:31:19,200 --> 00:31:22,040 Speaker 8: And for women, they need to do more of those 623 00:31:22,120 --> 00:31:26,480 Speaker 8: warming herbs that we talked about, cinnamon, ginger, fenya, Greek, 624 00:31:26,640 --> 00:31:31,240 Speaker 8: holy basil, ganda, the cordycepsies. 625 00:31:30,480 --> 00:31:33,120 Speaker 3: Are all good for women. And I think that when 626 00:31:33,120 --> 00:31:33,560 Speaker 3: women have. 627 00:31:33,560 --> 00:31:37,920 Speaker 8: Low testosterone also sometimes that's correlated with hypothyroidism as well. 628 00:31:38,040 --> 00:31:42,120 Speaker 7: Why is the American Heart Association in particular corrupt? 629 00:31:42,640 --> 00:31:45,520 Speaker 8: Oh goodness, I mean, this would be a whole tirade 630 00:31:45,560 --> 00:31:47,280 Speaker 8: I could get into, but I mean, it's a really 631 00:31:47,320 --> 00:31:53,320 Speaker 8: sad truth that most of these organizations basically embrace an 632 00:31:53,360 --> 00:31:56,680 Speaker 8: ideology from years ago and then they never change. And 633 00:31:56,720 --> 00:31:59,840 Speaker 8: here's the reason why Ego and pride. They don't want 634 00:31:59,880 --> 00:32:02,440 Speaker 8: to say they're wrong, and that is actually the number 635 00:32:02,480 --> 00:32:04,440 Speaker 8: one reason. So this is why most doctors in the 636 00:32:04,600 --> 00:32:08,280 Speaker 8: whole conventional medical system and the AMA and the American 637 00:32:08,280 --> 00:32:11,480 Speaker 8: Heart Association, all of them are that they're holding onto 638 00:32:11,520 --> 00:32:13,760 Speaker 8: the past. They don't want to change it. And again 639 00:32:13,800 --> 00:32:15,920 Speaker 8: it's a pride issue. Doctors, many of them have a 640 00:32:15,920 --> 00:32:18,280 Speaker 8: God complex. They don't want to be wrong, and so 641 00:32:18,320 --> 00:32:20,360 Speaker 8: they'll hold on to these old things that they've done 642 00:32:20,400 --> 00:32:25,560 Speaker 8: for years. And the medical system also does not support 643 00:32:26,040 --> 00:32:29,560 Speaker 8: very well due to the pharmaceutical interests doing things that 644 00:32:29,640 --> 00:32:33,960 Speaker 8: are non medical, and even things that are new, they're 645 00:32:34,040 --> 00:32:36,920 Speaker 8: very slow to adopt if it's not going to make 646 00:32:36,960 --> 00:32:39,560 Speaker 8: money for the industry. And so the reality is the 647 00:32:39,880 --> 00:32:42,160 Speaker 8: big issue is is that there are so much money 648 00:32:42,160 --> 00:32:45,880 Speaker 8: relying on these things and so much pride. It's money 649 00:32:45,880 --> 00:32:47,600 Speaker 8: and pride. Those are the biggest reasons. 650 00:32:47,640 --> 00:32:51,080 Speaker 7: I also think it's incredibly disturbing if you look at 651 00:32:51,160 --> 00:32:54,080 Speaker 7: the American Heart Association's website and you look at who 652 00:32:54,120 --> 00:32:57,880 Speaker 7: the biggest, you know, sponsors are. Whatever, Canola oil is 653 00:32:57,920 --> 00:33:00,480 Speaker 7: one of them, yes, and you know that's like this 654 00:33:00,520 --> 00:33:02,640 Speaker 7: whole thing they try to say, like they try to 655 00:33:02,640 --> 00:33:04,840 Speaker 7: say seed oils, vegetable oils, or heart healthy. 656 00:33:05,560 --> 00:33:06,920 Speaker 5: What is your response to that. 657 00:33:07,040 --> 00:33:09,160 Speaker 8: Well, one that this came from the just the most 658 00:33:09,200 --> 00:33:11,520 Speaker 8: flawed studies of all time, I mean like some like 659 00:33:11,560 --> 00:33:15,480 Speaker 8: one study in particular was back in the you know nineteen, 660 00:33:15,680 --> 00:33:18,400 Speaker 8: you know, sixties or seventies, and they did they the 661 00:33:18,440 --> 00:33:20,400 Speaker 8: study was done on animals. It was done on rabbits 662 00:33:20,400 --> 00:33:21,960 Speaker 8: and they gave them red meat, and I thought it 663 00:33:21,960 --> 00:33:26,560 Speaker 8: increased their risk of heart disease. Well, one, rabbits are herbivores, 664 00:33:26,600 --> 00:33:29,360 Speaker 8: not omnivores. Even their systems are not meant to eat meat, 665 00:33:29,440 --> 00:33:31,800 Speaker 8: so that doesn't make any sense. And then also it's 666 00:33:31,880 --> 00:33:35,000 Speaker 8: conventional meat, so so people always throw the bag maybe 667 00:33:35,040 --> 00:33:37,040 Speaker 8: out at the battle with water. Let me share a 668 00:33:37,080 --> 00:33:39,960 Speaker 8: statistic that I found study. I recently on my podcast 669 00:33:40,000 --> 00:33:42,920 Speaker 8: did an episode on the percentages of studies that are 670 00:33:42,960 --> 00:33:47,160 Speaker 8: actually accurate. Fifty one point six percent of studies today 671 00:33:47,240 --> 00:33:49,720 Speaker 8: are inaccurate. So less than fifty percent. 672 00:33:49,840 --> 00:33:51,680 Speaker 5: How do you know what's true and what is it? 673 00:33:51,880 --> 00:33:54,240 Speaker 8: And here's why, here's why they found this in the study. 674 00:33:54,240 --> 00:33:56,480 Speaker 8: One is there was so much bias from the pharmaceutical 675 00:33:56,720 --> 00:34:00,760 Speaker 8: companies funding studies, but also cherry picking data the sample 676 00:34:00,800 --> 00:34:03,280 Speaker 8: studies of the sample size was too small of people. 677 00:34:03,280 --> 00:34:05,720 Speaker 8: It wasn't reproducible. You know how many studies there are 678 00:34:05,760 --> 00:34:07,800 Speaker 8: on red meat being bad for you a lot. You 679 00:34:07,800 --> 00:34:09,560 Speaker 8: know how many there are though on it being good 680 00:34:09,560 --> 00:34:11,840 Speaker 8: for you a lot too. Which one do you believe 681 00:34:11,880 --> 00:34:14,400 Speaker 8: that red meat is the most amazing healing food or 682 00:34:14,440 --> 00:34:17,600 Speaker 8: that it's going to kill you? Well one you need 683 00:34:17,640 --> 00:34:19,160 Speaker 8: to go and look at the find details. Was it 684 00:34:19,280 --> 00:34:23,480 Speaker 8: actually done on certified grass fed, organic regenitive meat. It's 685 00:34:23,520 --> 00:34:27,440 Speaker 8: a very big difference between that and the conventional GMO 686 00:34:27,640 --> 00:34:30,400 Speaker 8: fed you know cols today and their lifestyle, the way 687 00:34:30,440 --> 00:34:32,719 Speaker 8: they're slaughtered all of it. These are two very very 688 00:34:32,719 --> 00:34:34,719 Speaker 8: different things. And so the first thing we need to 689 00:34:34,760 --> 00:34:38,760 Speaker 8: know is so many of these studies are not true. 690 00:34:38,800 --> 00:34:41,160 Speaker 8: So just because you see it on Instagram or you 691 00:34:41,200 --> 00:34:44,359 Speaker 8: hear somebody quote it, it doesn't necessarily mean it's true. 692 00:34:44,360 --> 00:34:45,799 Speaker 8: So what we tend to want to do is look 693 00:34:45,840 --> 00:34:48,600 Speaker 8: at something called a meta analysis, which is where we 694 00:34:48,840 --> 00:34:51,680 Speaker 8: pull all the studies together on a topic, or at 695 00:34:51,760 --> 00:34:54,920 Speaker 8: least many studies together, and we look at at it 696 00:34:55,040 --> 00:34:57,439 Speaker 8: over a long period of time to discover the truth. 697 00:34:57,520 --> 00:35:01,200 Speaker 8: You want to do that, combined with a level of 698 00:35:01,280 --> 00:35:05,200 Speaker 8: wisdom and common sense about what maybe ancients practice or 699 00:35:05,239 --> 00:35:07,520 Speaker 8: what's been known for a long time, and make your 700 00:35:07,560 --> 00:35:09,120 Speaker 8: decisions based off of that information. 701 00:35:09,200 --> 00:35:09,960 Speaker 3: You know, here's another thing. 702 00:35:09,960 --> 00:35:11,640 Speaker 8: You might be like most of our listeners, they're not 703 00:35:11,640 --> 00:35:13,480 Speaker 8: going to go and read the meta analysis. Well, then 704 00:35:13,480 --> 00:35:16,000 Speaker 8: here's where I would say. There's a Bible verse I 705 00:35:16,040 --> 00:35:18,560 Speaker 8: Love and Jesus basically says, buy your fruit. You will 706 00:35:18,600 --> 00:35:21,040 Speaker 8: recognize them. Go and look at the people that are 707 00:35:21,080 --> 00:35:23,359 Speaker 8: physically healthy. Go and look at the doctors that are 708 00:35:23,360 --> 00:35:25,520 Speaker 8: helping people get the best results without the side effects. 709 00:35:25,560 --> 00:35:27,920 Speaker 8: Like if I'm going to listen to somebody in the 710 00:35:27,920 --> 00:35:30,640 Speaker 8: government about health, I'm listening to RFK Junior. Have you 711 00:35:30,719 --> 00:35:33,799 Speaker 8: seen the guy. The guy is ripped, he's healthy in 712 00:35:33,840 --> 00:35:34,480 Speaker 8: his seventies. 713 00:35:34,640 --> 00:35:36,400 Speaker 5: You're not gonna listen to the man dressed like a woman. 714 00:35:37,200 --> 00:35:39,759 Speaker 8: My point exactly, you don't listen to that person or 715 00:35:39,800 --> 00:35:42,319 Speaker 8: you're gonna end up the same results with them. These 716 00:35:42,440 --> 00:35:45,640 Speaker 8: are principles if you want to be healthy, follow the 717 00:35:45,680 --> 00:35:57,319 Speaker 8: people and the groups that are actually healthy. 718 00:35:53,320 --> 00:35:53,400 Speaker 4: And. 719 00:35:56,719 --> 00:35:59,640 Speaker 9: Immediately nobodys thought about you, who's just twenty four to 720 00:35:59,680 --> 00:36:02,200 Speaker 9: seven flooding the zone. Back to my thirteen year old 721 00:36:02,360 --> 00:36:05,000 Speaker 9: owning this space every day, getting a convert, and then 722 00:36:05,040 --> 00:36:08,440 Speaker 9: I'm thinking about we're gonna stand back and watch you 723 00:36:09,120 --> 00:36:10,279 Speaker 9: run circles around us. 724 00:36:10,400 --> 00:36:13,080 Speaker 10: He said it best. At Turning Point USA, We're relentless. 725 00:36:13,160 --> 00:36:17,520 Speaker 10: We're changing minds on campuses every semester, defending conservative values 726 00:36:17,719 --> 00:36:21,080 Speaker 10: and fighting for America's future. Your donation helps keep us 727 00:36:21,120 --> 00:36:24,680 Speaker 10: on campus. Join the movement and donate to TPUSA today. 728 00:36:26,680 --> 00:36:28,840 Speaker 1: Welcome back to Turning Point tonight. We're together. We are 729 00:36:28,920 --> 00:36:31,719 Speaker 1: charting the course of America's cultural comeback again. TPUSA dot 730 00:36:31,719 --> 00:36:34,120 Speaker 1: com great place to go if you want to donate 731 00:36:34,160 --> 00:36:37,560 Speaker 1: to keep the conservative conversation alive and well on college campuses, 732 00:36:37,760 --> 00:36:39,440 Speaker 1: or if you want to go to any of our 733 00:36:39,480 --> 00:36:41,760 Speaker 1: fantastic events coming up in June, as the Young Women's 734 00:36:41,800 --> 00:36:46,239 Speaker 1: Leadership Summit YWLS in Dallas. You can't go if you're 735 00:36:46,280 --> 00:36:49,520 Speaker 1: a man. Just don't don't even try. They will Actually 736 00:36:49,719 --> 00:36:51,960 Speaker 1: if you did try, it would be very, very funny 737 00:36:52,120 --> 00:36:54,480 Speaker 1: and it might actually make it onto this show the 738 00:36:54,520 --> 00:36:56,839 Speaker 1: footage of that. But you can't go if you're man. 739 00:36:57,000 --> 00:37:00,560 Speaker 1: But you can go if you're a male or female 740 00:37:00,560 --> 00:37:04,160 Speaker 1: to sas the Student Action Summit in Tampa, Florida in July. 741 00:37:04,320 --> 00:37:06,319 Speaker 1: TPUSA dot com is where you find out all the 742 00:37:06,320 --> 00:37:09,719 Speaker 1: information about those fantastic events. You can also email the 743 00:37:09,719 --> 00:37:12,600 Speaker 1: show TPT at tpusa dot com. You can email whether 744 00:37:12,640 --> 00:37:15,000 Speaker 1: you agree or you're wrong. We love reading all of 745 00:37:15,000 --> 00:37:19,640 Speaker 1: your emails every single day. TPUs TPT at tpusa dot com. 746 00:37:19,680 --> 00:37:28,080 Speaker 1: Without further ado, it is time for Woke Wednesday. I 747 00:37:28,200 --> 00:37:31,680 Speaker 1: don't ever really get tired of watching that lady scream 748 00:37:31,760 --> 00:37:34,040 Speaker 1: it is sorry, sorry that they I don't. I don't. 749 00:37:34,280 --> 00:37:38,719 Speaker 1: I don't want to assume her gender. They're so confusing 750 00:37:39,760 --> 00:37:43,120 Speaker 1: with that. Woke Wednesday starts off like this. Do you 751 00:37:43,200 --> 00:37:45,800 Speaker 1: know people like this? I'm sure you probably do unless 752 00:37:45,840 --> 00:37:48,239 Speaker 1: you live in a same place. But I'm sure there's 753 00:37:48,280 --> 00:37:51,680 Speaker 1: people walking around with masks on in the year twenty 754 00:37:51,760 --> 00:37:55,200 Speaker 1: twenty five, and their reasoning may shock you or or 755 00:37:55,239 --> 00:37:57,640 Speaker 1: it won't because it's ridiculous. Go ahead and play clip three. 756 00:37:57,920 --> 00:38:00,480 Speaker 1: Why tis not too? 757 00:38:00,680 --> 00:38:01,359 Speaker 8: I just like it. 758 00:38:01,400 --> 00:38:03,759 Speaker 2: I got used to it. I don't mind wearing it. 759 00:38:03,960 --> 00:38:05,000 Speaker 4: I guess I'm just used to it. 760 00:38:05,040 --> 00:38:06,799 Speaker 1: I guess I did have a dark fog was on? 761 00:38:06,880 --> 00:38:07,240 Speaker 2: You forgot? 762 00:38:07,560 --> 00:38:07,920 Speaker 3: Are you back? 763 00:38:07,960 --> 00:38:09,120 Speaker 1: So? 764 00:38:09,160 --> 00:38:10,359 Speaker 2: Why you wear your mouth cuts off? 765 00:38:10,400 --> 00:38:11,279 Speaker 1: What's your result process? 766 00:38:20,080 --> 00:38:20,319 Speaker 2: Come? 767 00:38:20,680 --> 00:38:23,439 Speaker 6: I just feel like I asked to wear I don't 768 00:38:23,440 --> 00:38:23,839 Speaker 6: know why. 769 00:38:23,920 --> 00:38:25,840 Speaker 3: I guess I want to wear it. 770 00:38:26,280 --> 00:38:28,000 Speaker 6: Yeah, I guess like my friends wear them, so I'm like, 771 00:38:28,200 --> 00:38:31,120 Speaker 6: if i'm I might as well as too. I feel 772 00:38:31,160 --> 00:38:34,520 Speaker 6: like I will take off my mask until everybody does. 773 00:38:34,920 --> 00:38:37,520 Speaker 2: Oh yeah, I mean it's just there's a lot of anxieties, 774 00:38:37,520 --> 00:38:39,279 Speaker 2: but taking the mask off, you know, for the. 775 00:38:39,200 --> 00:38:40,919 Speaker 3: First time, so it's probably been so long. 776 00:38:41,000 --> 00:38:43,080 Speaker 1: Yeah, it's like a social anxiety at this point. It's 777 00:38:43,160 --> 00:38:45,640 Speaker 1: just you know, mental world being, and so I personally 778 00:38:45,680 --> 00:38:47,520 Speaker 1: still wouldn't want to take the risk anyway. 779 00:38:47,600 --> 00:38:48,759 Speaker 3: I don't trust anyone else. 780 00:38:49,239 --> 00:38:51,600 Speaker 1: I'm just doing it for min Even if the science 781 00:38:51,600 --> 00:38:53,680 Speaker 1: said it was like basically impossible, it still doesn't matter. 782 00:38:54,160 --> 00:38:54,359 Speaker 9: Yeah. 783 00:38:56,880 --> 00:38:58,600 Speaker 1: Yeah, uh, I'll be honest with you. I'm not even 784 00:38:58,680 --> 00:39:00,560 Speaker 1: sure if that was exactly twenty two twentive, but we 785 00:39:00,600 --> 00:39:02,360 Speaker 1: all know people out there that are still in the 786 00:39:02,440 --> 00:39:05,440 Speaker 1: year twenty twenty five putting their masks on. I do 787 00:39:05,520 --> 00:39:08,200 Speaker 1: have the definitive reasoning as to why those people are 788 00:39:08,200 --> 00:39:12,480 Speaker 1: wearing masks because they're British, meaning that they probably have 789 00:39:12,719 --> 00:39:15,760 Speaker 1: unfortunate teeth and therefore want to hide it from the world. 790 00:39:15,800 --> 00:39:18,360 Speaker 1: Either that or they're just ugly. That's the only reason. 791 00:39:18,440 --> 00:39:21,400 Speaker 1: I can see feasible why anybody would still be wearing 792 00:39:21,400 --> 00:39:23,600 Speaker 1: a mask in twenty twenty five. Again, I'm not actually 793 00:39:23,640 --> 00:39:27,000 Speaker 1: sure that that video is from super recently, but even then, 794 00:39:27,040 --> 00:39:29,359 Speaker 1: even if it was twenty twenty two or twenty three, 795 00:39:29,400 --> 00:39:33,800 Speaker 1: which it probably is, Holy cow, get over yourself. You're outside. 796 00:39:33,840 --> 00:39:36,399 Speaker 1: You couldn't catch it if you tried. Before we run 797 00:39:36,440 --> 00:39:38,839 Speaker 1: out of time, Let's play this clip too, really quick, 798 00:39:39,080 --> 00:39:43,040 Speaker 1: very very short, and it actually might change your mind. Hell, 799 00:39:55,760 --> 00:39:57,359 Speaker 1: I don't know what that last part was, but that 800 00:39:57,400 --> 00:40:01,440 Speaker 1: first part was compelling. Consider my change. I was a 801 00:40:01,480 --> 00:40:07,040 Speaker 1: Mark Zuckerberg fanboy until that woman stomped on the ground 802 00:40:07,080 --> 00:40:12,240 Speaker 1: and thrust her arms to the side, screaming incoherently. Ah, 803 00:40:12,520 --> 00:40:14,279 Speaker 1: that's how you change hearts and minds. People. If you 804 00:40:14,320 --> 00:40:16,120 Speaker 1: don't know, you should get out there and try it. 805 00:40:16,200 --> 00:40:18,040 Speaker 1: As a matter of fact, everyone should take to the 806 00:40:18,040 --> 00:40:21,400 Speaker 1: streets and scream incoherently when names of people that you 807 00:40:21,480 --> 00:40:24,960 Speaker 1: dislike are mentioned. That is what changed his hearts and minds. 808 00:40:25,840 --> 00:40:27,400 Speaker 1: Thanks guys so much for tuning again. We will be 809 00:40:27,400 --> 00:40:30,080 Speaker 1: back tomorrow, same time, same place. Charlie Kirk is gonna 810 00:40:30,080 --> 00:40:31,600 Speaker 1: take us out. Thanks so much for tuning in each 811 00:40:31,600 --> 00:40:33,360 Speaker 1: and every night. Do turning Point tonight, see tomorrow. 812 00:40:33,400 --> 00:40:47,600 Speaker 11: God bless America. 813 00:40:48,239 --> 00:40:50,880 Speaker 10: Lots to talk about today. We're finally back in our studio. 814 00:40:50,960 --> 00:40:53,680 Speaker 10: We've been traveling all week San Diego. I was in 815 00:40:53,719 --> 00:40:56,960 Speaker 10: San Francisco yesterday. We will recap that I was in 816 00:40:57,080 --> 00:41:00,480 Speaker 10: San Diego doing events there. We are also in Long 817 00:41:00,520 --> 00:41:03,799 Speaker 10: Beach as well. Lots to cover, and I've been just 818 00:41:04,160 --> 00:41:07,239 Speaker 10: chomping at the bit to be able to get in 819 00:41:07,320 --> 00:41:11,080 Speaker 10: on this Tom Tillis story. Andrew did a great job 820 00:41:11,239 --> 00:41:15,880 Speaker 10: filling in yesterday talking about Senator Tom Tillis from North 821 00:41:15,880 --> 00:41:21,400 Speaker 10: Carolina decided now to oppose Ed Martin as Washington DC 822 00:41:21,800 --> 00:41:24,919 Speaker 10: US attorney. So let's set the stage here and set 823 00:41:24,960 --> 00:41:29,920 Speaker 10: the table. So the DCUs attorney is arguably the most 824 00:41:29,960 --> 00:41:34,600 Speaker 10: important US attorney when it comes to politics, the president, 825 00:41:35,320 --> 00:41:38,719 Speaker 10: Anything that happens in the jurisdiction of Washington, d C. 826 00:41:39,680 --> 00:41:42,720 Speaker 10: Which is a lot of power broking and a lot 827 00:41:42,719 --> 00:41:48,080 Speaker 10: of activity, falls under the DC US attorney. Now, the 828 00:41:48,200 --> 00:41:54,520 Speaker 10: Washington DC US attorney in years past have been enemies 829 00:41:55,360 --> 00:41:58,520 Speaker 10: of the MAGA movement, have been out of control. The 830 00:41:58,600 --> 00:42:01,680 Speaker 10: DCUs attorney Matthew Graves, which we'll get back to in 831 00:42:01,680 --> 00:42:05,320 Speaker 10: a second was the architect of the out of control 832 00:42:05,480 --> 00:42:09,720 Speaker 10: January sixth behavior. So this is a big one. President 833 00:42:09,760 --> 00:42:13,360 Speaker 10: Trump put in on a temporary and a provisional basis. 834 00:42:13,800 --> 00:42:16,279 Speaker 10: Ed Martin, let me tell you about Ed Martin. Ed 835 00:42:16,320 --> 00:42:17,799 Speaker 10: Martin is the real deal. 836 00:42:19,239 --> 00:42:19,680 Speaker 1: Ed Martin. 837 00:42:20,400 --> 00:42:24,520 Speaker 10: It's part of the Phyllis Schlaffley coalition. 838 00:42:26,440 --> 00:42:27,279 Speaker 3: Ed Martin. 839 00:42:29,560 --> 00:42:35,600 Speaker 10: Literally ran the Phyllis Schlaffley Eagles for years from Missouri. 840 00:42:36,880 --> 00:42:42,560 Speaker 10: A lawyer and a truly committed patriot. Now I'll fully 841 00:42:42,640 --> 00:42:49,640 Speaker 10: acknowledge that President Trump picked someone that was very conservative, 842 00:42:50,320 --> 00:42:57,479 Speaker 10: very outspoken, not your normal kind of cut DCUs attorney type. 843 00:42:58,160 --> 00:43:00,719 Speaker 10: He's a threat to the uniparty in Washington, d C. 844 00:43:00,800 --> 00:43:04,160 Speaker 10: Because he is willing to push the boundaries of what 845 00:43:04,280 --> 00:43:07,680 Speaker 10: is normal and acceptable in the best possible way. 846 00:43:09,400 --> 00:43:11,600 Speaker 1: So Ed Martin in just. 847 00:43:11,560 --> 00:43:15,440 Speaker 10: His couple of weeks and just with a couple of 848 00:43:15,440 --> 00:43:19,160 Speaker 10: months of being DC US attorney, has probably been the 849 00:43:19,200 --> 00:43:23,160 Speaker 10: best performing US attorney that President Trump has put in. 850 00:43:23,560 --> 00:43:27,839 Speaker 10: Without a doubt. He's actually gotten stuff done. He has 851 00:43:28,880 --> 00:43:32,960 Speaker 10: or reorganized his office. He's fired bad attorneys in the 852 00:43:33,040 --> 00:43:37,160 Speaker 10: DC office. And that is a tough, difficult, very very 853 00:43:37,440 --> 00:43:41,960 Speaker 10: very overwhelming assignment. And Ed Martin has taken it with 854 00:43:42,000 --> 00:43:46,840 Speaker 10: his head down, punching, punching, punching. So President Trump, knowing 855 00:43:46,880 --> 00:43:50,160 Speaker 10: that Ed Martin has been restoring integrity, has decided now 856 00:43:50,160 --> 00:43:55,960 Speaker 10: to put Ed Martin as the permanent nominee for DCUs attorney. 857 00:43:56,760 --> 00:43:59,200 Speaker 10: Ed Martin is a bulldog and that is exactly what 858 00:43:59,239 --> 00:44:02,400 Speaker 10: we need, and that is what President Trump has earned. 859 00:44:03,000 --> 00:44:06,360 Speaker 10: President Trump was facing seven hundred years in federal prison. 860 00:44:07,280 --> 00:44:09,839 Speaker 10: He gets the dc US attorney that he wants. And 861 00:44:10,000 --> 00:44:13,200 Speaker 10: remember he did not get the US attorney that he wanted. 862 00:44:14,760 --> 00:44:18,040 Speaker 10: The Senate quietly without there was a vote, before there 863 00:44:18,040 --> 00:44:22,640 Speaker 10: was a vote, rejected President Donald Trump's Attorney General's nominee, 864 00:44:22,840 --> 00:44:25,719 Speaker 10: which of course was Matt Gates. So then we got 865 00:44:25,719 --> 00:44:28,880 Speaker 10: pambondy Okay, I like Pam, but that wasn't Donald Trump's 866 00:44:28,920 --> 00:44:32,080 Speaker 10: first choice. So now we go to the DCUs attorney. 867 00:44:32,120 --> 00:44:36,480 Speaker 10: And you would think after President Trump was facing nearly 868 00:44:36,520 --> 00:44:39,520 Speaker 10: a thousand years in federal prison, after President Trump has 869 00:44:39,600 --> 00:44:43,120 Speaker 10: been shot, was spied on Byron intel agencies, you would 870 00:44:43,200 --> 00:44:46,200 Speaker 10: think that it would be an easy box to check. 871 00:44:46,520 --> 00:44:51,600 Speaker 10: After he won a popular vote and an electoral vote landslide, 872 00:44:51,640 --> 00:44:54,360 Speaker 10: the first Republican in twenty years to win a popular 873 00:44:54,440 --> 00:44:57,279 Speaker 10: vote was George W. Bush in two thousand and four. 874 00:44:57,520 --> 00:45:00,000 Speaker 10: You would think that President Trump would get the benefit 875 00:45:00,080 --> 00:45:04,920 Speaker 10: of the doubt. And we are told that we control Congress, 876 00:45:05,920 --> 00:45:09,080 Speaker 10: we are told that we control the house in the Senate, 877 00:45:09,120 --> 00:45:10,239 Speaker 10: but do we really. 878 00:45:12,200 --> 00:45:12,319 Speaker 4: So? 879 00:45:12,360 --> 00:45:16,279 Speaker 10: Then Tom Tillis, the US Senator from North Carolina who 880 00:45:16,320 --> 00:45:19,960 Speaker 10: is in cycle right now, comes out and does the 881 00:45:20,000 --> 00:45:21,719 Speaker 10: following let's play cut two twenty four. 882 00:45:24,200 --> 00:45:26,400 Speaker 12: He is I don't believe he's being advanced to the 883 00:45:26,440 --> 00:45:30,520 Speaker 12: markup and I'm met with mister Martin. He seems like 884 00:45:30,560 --> 00:45:35,480 Speaker 12: a good man. Most of my concerns related to January sixth, 885 00:45:35,719 --> 00:45:39,239 Speaker 12: and he built a compelling case on some of the 886 00:45:39,280 --> 00:45:43,840 Speaker 12: fifteen twelve prosecutions that were probably heat of the moment, 887 00:45:43,920 --> 00:45:48,440 Speaker 12: bad decisions. But where we probably have a difference is 888 00:45:48,480 --> 00:45:50,839 Speaker 12: I think anybody that breached the perimeter should have been 889 00:45:50,880 --> 00:45:52,120 Speaker 12: in prison for some period of time. 890 00:45:52,160 --> 00:45:53,240 Speaker 1: Whether it's thirty days. 891 00:45:53,080 --> 00:45:54,320 Speaker 3: Or three years is debatable. 892 00:45:54,360 --> 00:45:58,040 Speaker 12: But I have no tolerance for anybody who entered the 893 00:45:58,040 --> 00:46:00,399 Speaker 12: building on January the sixth, and that's probably where most 894 00:46:00,400 --> 00:46:01,200 Speaker 12: of the friction was. 895 00:46:01,400 --> 00:46:02,839 Speaker 3: So the difference wasn't that they. 896 00:46:02,719 --> 00:46:06,120 Speaker 12: Should be charged in my estimation, it's by how much 897 00:46:06,200 --> 00:46:07,560 Speaker 12: I've indicated to the White House. 898 00:46:07,600 --> 00:46:10,799 Speaker 3: I wouldn't support his nomination. Whoa, whoa, whoa, whoa. 899 00:46:10,880 --> 00:46:13,800 Speaker 10: There is a lot of stuff wrong with that number one. 900 00:46:13,840 --> 00:46:17,160 Speaker 10: He is basically saying anyone who breached the perimeter, including 901 00:46:17,320 --> 00:46:21,200 Speaker 10: Siaka Massaqui, who went into the US Congress for ten 902 00:46:21,280 --> 00:46:24,439 Speaker 10: seconds to say a prayer and then left. He's talking 903 00:46:24,440 --> 00:46:27,440 Speaker 10: about non violent people that need to be thrown in jail. 904 00:46:28,480 --> 00:46:32,000 Speaker 10: He's talking about Grandma's that had US constitutions in there 905 00:46:32,560 --> 00:46:35,759 Speaker 10: perse holding it up. We're not even talking about the 906 00:46:35,800 --> 00:46:39,840 Speaker 10: violent folks. We're not talking about the people that smashed windows, 907 00:46:39,960 --> 00:46:42,879 Speaker 10: not amy the people that hit police officers. You could 908 00:46:42,880 --> 00:46:46,399 Speaker 10: get a trespassing fine. But Tom Tillis the reason he's 909 00:46:46,440 --> 00:46:50,080 Speaker 10: not voting for Ed Martin is the fact that he 910 00:46:50,160 --> 00:46:53,680 Speaker 10: wants to see prison time for people that quote breached 911 00:46:53,800 --> 00:46:57,439 Speaker 10: the perimeter, even though in certain circumstances police held open 912 00:46:57,480 --> 00:47:01,879 Speaker 10: the doors. Now, Tom Tillis and I actually agree on 913 00:47:01,880 --> 00:47:06,439 Speaker 10: one thing. We agree on something fundamental and it needs 914 00:47:06,440 --> 00:47:10,560 Speaker 10: to be repeated. I want to see the North Carolina 915 00:47:10,640 --> 00:47:16,080 Speaker 10: Senate seat remain Republican. It's in cycle. Former governor of 916 00:47:16,080 --> 00:47:20,240 Speaker 10: North Carolina and very popular Democrat Roy Cooper is thinking 917 00:47:20,239 --> 00:47:23,160 Speaker 10: about running for the North Carolina Senate seat, which would 918 00:47:23,200 --> 00:47:26,760 Speaker 10: be a very difficult task for anybody, including Tom Tillis, 919 00:47:26,800 --> 00:47:30,120 Speaker 10: to go up against. So I have agreement with Tom Tillis. 920 00:47:30,320 --> 00:47:34,440 Speaker 10: I don't want to lose that Senate seat be bad. 921 00:47:35,080 --> 00:47:37,120 Speaker 10: We want President Trump to be able to confirm his 922 00:47:37,200 --> 00:47:40,200 Speaker 10: nominees well. We want President Trump, if there is a 923 00:47:40,200 --> 00:47:42,520 Speaker 10: Supreme Court justice, to be able to fill it easier 924 00:47:42,520 --> 00:47:45,520 Speaker 10: than not. We do not want to give away Senate 925 00:47:45,520 --> 00:47:49,960 Speaker 10: seats to Democrats. It is never helpful to do kamikaze 926 00:47:50,040 --> 00:47:52,799 Speaker 10: missions because it makes you feel good. It is never 927 00:47:52,840 --> 00:47:55,640 Speaker 10: helpful to go on a suicide pact just to try 928 00:47:55,680 --> 00:47:57,280 Speaker 10: to teach somebody a lesson. 929 00:48:01,040 --> 00:48:01,080 Speaker 6: S