1 00:00:08,240 --> 00:00:11,600 Speaker 1: The Libs finally created a funny meme for the first 2 00:00:11,600 --> 00:00:14,880 Speaker 1: time in geez decades, it seems, and of course the 3 00:00:14,960 --> 00:00:17,759 Speaker 1: right has taken it over and made it funny for ourselves. Also, 4 00:00:17,840 --> 00:00:23,160 Speaker 1: the House actually agreed on something except for one specific member. 5 00:00:23,480 --> 00:00:24,759 Speaker 2: What's funny? We'll talk about that. 6 00:00:24,960 --> 00:00:29,280 Speaker 1: And another prominent lib is starting a podcast. What are 7 00:00:29,320 --> 00:00:31,960 Speaker 1: they them going to talk about? All that more coming 8 00:00:32,000 --> 00:00:34,239 Speaker 1: up on this episode of Turning Point Tonight. Thanks so 9 00:00:34,320 --> 00:00:36,320 Speaker 1: much for tuning in. My name is Jobobin. Together we 10 00:00:36,320 --> 00:00:38,879 Speaker 1: are charting the course of America's cultural comeback. 11 00:00:39,000 --> 00:00:40,520 Speaker 2: This is Turning Point Tonight. 12 00:00:40,840 --> 00:00:44,120 Speaker 1: As always, you can email the show TPT at tpusa 13 00:00:44,280 --> 00:00:46,760 Speaker 1: dot com. You'll see that throughout the show. We love 14 00:00:46,760 --> 00:00:49,800 Speaker 1: to read your emails, whether they're complimentary or you're wrong. 15 00:00:50,640 --> 00:00:53,320 Speaker 1: If they're disgusting and vile, we will read them on 16 00:00:53,360 --> 00:00:54,960 Speaker 1: the air if we get time to do so. But 17 00:00:55,080 --> 00:00:58,760 Speaker 1: first we have to talk about this hilarious at my 18 00:00:58,880 --> 00:01:04,160 Speaker 1: Opinion's story about the CBP app. If you remember this, 19 00:01:04,520 --> 00:01:08,240 Speaker 1: the Biden administration, in an attempt to I guess further 20 00:01:08,360 --> 00:01:12,440 Speaker 1: the infiltration of the country with illegals, created an app, 21 00:01:12,560 --> 00:01:17,319 Speaker 1: or at least revitalized an app for illegals to register 22 00:01:17,600 --> 00:01:20,000 Speaker 1: and do all of the fluffy stuff that didn't actually 23 00:01:20,080 --> 00:01:23,280 Speaker 1: end up mattering during the Biden administration. Now we've all 24 00:01:23,400 --> 00:01:27,800 Speaker 1: used apps to order food, order a car, order, you know, 25 00:01:27,800 --> 00:01:30,959 Speaker 1: whatever it is that you want from Amazon. But now 26 00:01:31,200 --> 00:01:34,600 Speaker 1: the CBP app as taken over by the Trump administration, 27 00:01:35,120 --> 00:01:39,520 Speaker 1: you can through your phone self deport. Yes, the Trump 28 00:01:39,560 --> 00:01:44,399 Speaker 1: administration has initiated a submit intent to depart the United 29 00:01:44,440 --> 00:01:48,320 Speaker 1: States of America in an attempt to encourage illegals to 30 00:01:49,040 --> 00:01:52,240 Speaker 1: welp exit the country. Now, of course you might be saying, 31 00:01:52,280 --> 00:01:54,680 Speaker 1: and our panelists will probably also have some thoughts on this, well, 32 00:01:54,680 --> 00:01:57,680 Speaker 1: why would anybody do that? Oh, it's actually a pretty 33 00:01:57,680 --> 00:02:02,240 Speaker 1: interesting incentive and disincentive structure. If you do actually self 34 00:02:02,240 --> 00:02:05,120 Speaker 1: deport and leave the country, you have the opportunity then 35 00:02:05,160 --> 00:02:08,040 Speaker 1: to come in the correct way as you're supposed to do. 36 00:02:08,720 --> 00:02:12,040 Speaker 1: If you don't self deport and the Trump administration catches. 37 00:02:11,720 --> 00:02:14,040 Speaker 2: You, the ability to re. 38 00:02:14,320 --> 00:02:17,680 Speaker 1: Enter the country is eliminated for life, in which case 39 00:02:18,200 --> 00:02:20,760 Speaker 1: you can't come back in ever. So it is a 40 00:02:20,760 --> 00:02:24,799 Speaker 1: really interesting incentive and disincentive structure and a hilarious repurposing 41 00:02:25,160 --> 00:02:29,440 Speaker 1: of a Biden administration CBP app here to comments on 42 00:02:29,520 --> 00:02:33,119 Speaker 1: that and more. Are our fantastic guests, Aaron Wexler, who 43 00:02:33,160 --> 00:02:36,760 Speaker 1: is an online superstar conservative commentator, and Chris Hand hosted 44 00:02:36,800 --> 00:02:40,280 Speaker 1: the Chris Hand Show in the Nashville area, among other places. Guys, 45 00:02:40,320 --> 00:02:41,560 Speaker 1: thanks so much for joining us. 46 00:02:42,120 --> 00:02:45,040 Speaker 2: Thank sing so, Aaron. 47 00:02:45,080 --> 00:02:47,639 Speaker 1: I want to start with you. I know Chris has 48 00:02:47,680 --> 00:02:50,240 Speaker 1: some thoughts because we've talked about this offline. Do we 49 00:02:50,360 --> 00:02:53,880 Speaker 1: think that the illegals are going to actually utilize the 50 00:02:54,000 --> 00:02:57,160 Speaker 1: app to self deport or what do you think's got 51 00:02:57,160 --> 00:02:59,640 Speaker 1: to be going through their heads considering this conundrum that 52 00:02:59,680 --> 00:03:00,960 Speaker 1: they have put themselves in. 53 00:03:01,800 --> 00:03:03,680 Speaker 3: Well, this is obviously brilliant. First of all, from the 54 00:03:03,680 --> 00:03:06,920 Speaker 3: Trump Admin's point, it's very elon doje asked to be 55 00:03:06,960 --> 00:03:09,680 Speaker 3: so efficient. Coming from the tech space, I have a 56 00:03:09,720 --> 00:03:12,600 Speaker 3: tech background, it's very classic tech to say, let's take 57 00:03:12,639 --> 00:03:15,359 Speaker 3: this product and just repurpose it. But in terms of 58 00:03:15,400 --> 00:03:17,600 Speaker 3: what I think if illegals are going to self deport, 59 00:03:17,800 --> 00:03:19,720 Speaker 3: I think we've already seen that they are. We've seen 60 00:03:19,720 --> 00:03:21,160 Speaker 3: in New York City a lot of them have cleared 61 00:03:21,200 --> 00:03:23,280 Speaker 3: out here. I'm down in South Florida. 62 00:03:23,639 --> 00:03:24,320 Speaker 4: It's actually a. 63 00:03:24,240 --> 00:03:26,600 Speaker 3: Lot harder to get an uber these days. My uber 64 00:03:26,680 --> 00:03:30,040 Speaker 3: drivers actually tend to speak English. Now, I think they 65 00:03:30,080 --> 00:03:32,840 Speaker 3: really are self supporting. I think they're afraid of Trump, 66 00:03:32,919 --> 00:03:35,320 Speaker 3: They're afraid of Tom hom and I think I don't 67 00:03:35,320 --> 00:03:36,840 Speaker 3: know if they're afraid of Christy now, but I know 68 00:03:37,120 --> 00:03:40,640 Speaker 3: they know she's serious. And yeah, I think they really 69 00:03:40,640 --> 00:03:42,040 Speaker 3: will be self supporting. 70 00:03:43,360 --> 00:03:43,640 Speaker 2: Yeah. 71 00:03:43,760 --> 00:03:47,120 Speaker 1: I interesting because I'm not sure, and I don't want 72 00:03:47,120 --> 00:03:48,400 Speaker 1: to put words in his mouth, but I don't know 73 00:03:48,400 --> 00:03:50,800 Speaker 1: if Chris actually agrees. Chris, what do you think? Do 74 00:03:50,800 --> 00:03:53,480 Speaker 1: you think people actually will self deport? And I'd love 75 00:03:53,520 --> 00:03:55,040 Speaker 1: to hear another side of the argument. 76 00:03:54,800 --> 00:03:56,360 Speaker 2: If you've got that. I don't want to put word 77 00:03:56,400 --> 00:03:56,800 Speaker 2: in your mouth. 78 00:03:57,560 --> 00:03:59,480 Speaker 5: I mean, if I'm an illegal alien and I'm already 79 00:03:59,480 --> 00:04:01,560 Speaker 5: here and I went to all this trouble, I'm probably 80 00:04:01,600 --> 00:04:04,360 Speaker 5: not gonna self deport. I do think, though, that there 81 00:04:04,480 --> 00:04:06,440 Speaker 5: is going to be a large portion of illegal aliens 82 00:04:06,480 --> 00:04:08,200 Speaker 5: who are going to self deport, who do want to 83 00:04:08,200 --> 00:04:10,440 Speaker 5: live the American dream and don't want to have that 84 00:04:10,520 --> 00:04:13,560 Speaker 5: taken away from them. It is hilarious that they repurpose 85 00:04:13,640 --> 00:04:17,160 Speaker 5: this app though, And I just for me, my thought 86 00:04:17,160 --> 00:04:19,159 Speaker 5: process goes to the guy who's on the other side 87 00:04:19,200 --> 00:04:21,359 Speaker 5: of the border, who's been checking that app every day 88 00:04:21,720 --> 00:04:24,920 Speaker 5: waiting to sneak into our country, break into our country. 89 00:04:25,320 --> 00:04:26,599 Speaker 5: And I want, I wish I could have been a 90 00:04:26,600 --> 00:04:28,360 Speaker 5: fly on the wall when he first opened that up 91 00:04:28,400 --> 00:04:31,920 Speaker 5: and saw that everything has changed, like, oh no, this 92 00:04:31,960 --> 00:04:33,680 Speaker 5: isn't going to happen the way I thought it was. 93 00:04:34,400 --> 00:04:36,400 Speaker 5: I do think people will self deport I don't know 94 00:04:36,400 --> 00:04:37,880 Speaker 5: if it's gonna be the numbers that we need, but 95 00:04:38,000 --> 00:04:40,799 Speaker 5: I mean you could talk to some prominent border reporters. 96 00:04:41,120 --> 00:04:43,039 Speaker 5: The traffic is really in one way right now and 97 00:04:43,040 --> 00:04:43,880 Speaker 5: it's out of the country. 98 00:04:44,440 --> 00:04:46,680 Speaker 1: Yeah, I know this is all speculation. I kind of 99 00:04:46,920 --> 00:04:50,600 Speaker 1: happen to think that more people might actually take advantage 100 00:04:50,640 --> 00:04:53,520 Speaker 1: of this than we might think, just specifically because the 101 00:04:53,560 --> 00:04:55,760 Speaker 1: punishment of never. 102 00:04:55,560 --> 00:04:58,080 Speaker 2: Being able to immigrate here legally it seems to be 103 00:04:58,120 --> 00:04:59,320 Speaker 2: pretty dang severe. 104 00:05:00,000 --> 00:05:01,960 Speaker 1: So again, well, I guess it remains to be seen, 105 00:05:02,000 --> 00:05:07,000 Speaker 1: but overall, hilarious move by the administration repurposing this app. 106 00:05:07,360 --> 00:05:08,000 Speaker 2: I want to get to this. 107 00:05:08,040 --> 00:05:13,359 Speaker 1: Speaking of the administration, you know when celebrities come out 108 00:05:13,400 --> 00:05:16,880 Speaker 1: and endorse candidates, they talk about, you know, we've taken 109 00:05:16,880 --> 00:05:20,320 Speaker 1: a brave stance to protect democracy or whatever the buzzwords 110 00:05:20,320 --> 00:05:23,680 Speaker 1: they've used. They're not really taking any risks because all 111 00:05:23,680 --> 00:05:26,680 Speaker 1: of their friends and their social circles already always agree 112 00:05:26,680 --> 00:05:29,280 Speaker 1: with them. Elon Musk, on the other hand, took a 113 00:05:29,600 --> 00:05:33,800 Speaker 1: massive financial risk in supporting President Trump, and unfortunately is 114 00:05:34,040 --> 00:05:37,640 Speaker 1: feeling some of the repercussions of that. Tesla stock is 115 00:05:37,680 --> 00:05:42,400 Speaker 1: down forty five percent since the inauguration. People on the 116 00:05:42,440 --> 00:05:45,320 Speaker 1: left have said, well, driving to Tesla's basically just wearing 117 00:05:45,360 --> 00:05:49,400 Speaker 1: a big Maga hat out in public. Overall, you know, 118 00:05:49,960 --> 00:05:53,719 Speaker 1: political maneuvering happens personally. I think, you know, there's a 119 00:05:53,839 --> 00:05:56,680 Speaker 1: possibility that while Tesla products are just better and this 120 00:05:56,760 --> 00:05:59,120 Speaker 1: is just kind of a blip. But I'm curious, Aaron, 121 00:05:59,160 --> 00:06:01,680 Speaker 1: what do you think is going on here? Do you 122 00:06:01,720 --> 00:06:04,720 Speaker 1: think Tesla rebounds because of how good their product is? 123 00:06:05,160 --> 00:06:08,080 Speaker 1: Do you think considering the fact that Tesla used to 124 00:06:08,160 --> 00:06:11,240 Speaker 1: be the toast of libs who used to love EV's 125 00:06:11,720 --> 00:06:12,720 Speaker 1: what is going on here? 126 00:06:13,520 --> 00:06:13,760 Speaker 4: Yeah? 127 00:06:13,760 --> 00:06:15,880 Speaker 3: So there are a few things. First, I would never 128 00:06:15,920 --> 00:06:18,480 Speaker 3: bet against Elon Musk. I think that's a generally good 129 00:06:18,560 --> 00:06:21,520 Speaker 3: rule of thumb. And we've seen, similar to Trump, that 130 00:06:21,640 --> 00:06:24,039 Speaker 3: character arc right where the left for so long made 131 00:06:24,040 --> 00:06:26,320 Speaker 3: fun of him. I remember again, because I come from 132 00:06:26,320 --> 00:06:29,160 Speaker 3: this tech background, I remember people making fun of his 133 00:06:29,240 --> 00:06:31,599 Speaker 3: ambition and his goals and saying that none of this 134 00:06:31,600 --> 00:06:34,920 Speaker 3: would ever succeed. And now we're watching as he's restructuring 135 00:06:35,040 --> 00:06:37,880 Speaker 3: the government, while simultaneously you could be on a flight 136 00:06:37,960 --> 00:06:41,480 Speaker 3: as I was, and see SpaceX rockets in the air, 137 00:06:41,720 --> 00:06:43,719 Speaker 3: and it's pretty unbelievable. What I think in terms of 138 00:06:43,760 --> 00:06:45,840 Speaker 3: the stock though, is you know, if you're looking at 139 00:06:45,839 --> 00:06:49,000 Speaker 3: the macro picture, stocks are down across the board. Tech 140 00:06:49,080 --> 00:06:51,200 Speaker 3: is down across the board, and so I do think 141 00:06:51,200 --> 00:06:54,360 Speaker 3: it's kind of this glitzy headline of Wow, Tesla's down, 142 00:06:54,360 --> 00:06:57,760 Speaker 3: and of course we're seeing these attacks. It's absolutely deranged 143 00:06:57,839 --> 00:07:00,320 Speaker 3: how the left is trying to burn Tesla. As I 144 00:07:00,360 --> 00:07:02,520 Speaker 3: saw overnight there were dozens of cars in a parking 145 00:07:02,560 --> 00:07:05,840 Speaker 3: lot in Texas where the tires were just stolen off 146 00:07:05,880 --> 00:07:08,520 Speaker 3: these cars, just as a big clearly you know, middle 147 00:07:08,560 --> 00:07:11,120 Speaker 3: finger to anyone with a Tesla at Elon Musk. But 148 00:07:11,440 --> 00:07:13,000 Speaker 3: you know, I think it's just really a part of 149 00:07:13,040 --> 00:07:15,960 Speaker 3: this macro trend where it's it's not fun. But what 150 00:07:16,000 --> 00:07:19,280 Speaker 3: Trump and Elon are doing is dealing with the legacy 151 00:07:19,320 --> 00:07:21,840 Speaker 3: of the Left, which is very bad economic policy, a 152 00:07:21,840 --> 00:07:23,800 Speaker 3: lot of printing money and so we're gonna have to 153 00:07:23,840 --> 00:07:24,840 Speaker 3: see some adjustment to that. 154 00:07:25,480 --> 00:07:28,800 Speaker 1: Yeah, Chris, we were looking at some video of some 155 00:07:29,200 --> 00:07:32,120 Speaker 1: would look like fire bombings of Tesla cyber trucks. I 156 00:07:32,160 --> 00:07:35,720 Speaker 1: think in the Seattle area the Lips have taken to 157 00:07:35,840 --> 00:07:39,120 Speaker 1: protesting at Tesla showrooms and making a big show of that. 158 00:07:40,040 --> 00:07:41,400 Speaker 1: I mean, I think I know the answer to this, 159 00:07:41,480 --> 00:07:43,400 Speaker 1: But how much more does this make you want to 160 00:07:43,440 --> 00:07:44,239 Speaker 1: buy a Tesla. 161 00:07:45,360 --> 00:07:47,120 Speaker 5: I want to buy a Tesla. I mean for the 162 00:07:47,160 --> 00:07:49,120 Speaker 5: self driving alone. I can get some work done. Yeah, 163 00:07:49,120 --> 00:07:53,200 Speaker 5: commute in Nashville. But it just shows that Elon is 164 00:07:53,200 --> 00:07:55,560 Speaker 5: doing this for the right reasons. I mean, we say 165 00:07:55,600 --> 00:07:57,400 Speaker 5: this about Trump all the time. He doesn't need to 166 00:07:57,400 --> 00:07:58,960 Speaker 5: do this. He's got all the money in the world, 167 00:07:59,080 --> 00:08:01,480 Speaker 5: well like multiplied by ten, and then you have Elon's 168 00:08:01,480 --> 00:08:04,800 Speaker 5: money and Elon's value. Elon doesn't need to be here, 169 00:08:04,880 --> 00:08:06,680 Speaker 5: he doesn't need to worry about this. He would still 170 00:08:06,680 --> 00:08:08,360 Speaker 5: be a darling of the left if he wasn't. 171 00:08:08,120 --> 00:08:08,640 Speaker 6: Doing any of this. 172 00:08:09,040 --> 00:08:12,440 Speaker 5: And in the meantime, you're seeing deranged leftists due deranged 173 00:08:12,480 --> 00:08:14,960 Speaker 5: leftist things. I saw one guy this story was in Portland. 174 00:08:15,200 --> 00:08:18,160 Speaker 5: He had a swastika scratched into the hood of his Tesla, 175 00:08:18,640 --> 00:08:21,080 Speaker 5: and this guy was a left to himself. He said, guys, 176 00:08:21,240 --> 00:08:23,000 Speaker 5: I could have used the money to fix this and 177 00:08:23,160 --> 00:08:23,760 Speaker 5: donated it. 178 00:08:23,720 --> 00:08:24,320 Speaker 2: To the DNC. 179 00:08:25,040 --> 00:08:27,560 Speaker 5: Even after all this, a lot of these leftists still 180 00:08:27,600 --> 00:08:28,920 Speaker 5: won't learn. It's embarrassing. 181 00:08:29,680 --> 00:08:34,199 Speaker 1: Yeah, the economics of it is fascinating, especially considering how 182 00:08:34,280 --> 00:08:37,480 Speaker 1: much they just loved Tesla. Also Tesla being the only 183 00:08:37,520 --> 00:08:40,760 Speaker 1: electric car maker that made any sort of dent. And 184 00:08:40,960 --> 00:08:43,640 Speaker 1: I think we all remember Biden never mentioning Tesla when 185 00:08:43,640 --> 00:08:47,280 Speaker 1: he's talking about the auto industry. Speaking of economics, I thought. 186 00:08:47,040 --> 00:08:48,600 Speaker 2: This was hilarious. You know. 187 00:08:48,720 --> 00:08:51,240 Speaker 1: Obviously, of course, this goes without saying. We're all massive 188 00:08:51,400 --> 00:08:54,480 Speaker 1: WNBA fans. I personally never miss a game, Chris. I 189 00:08:54,520 --> 00:08:58,440 Speaker 1: know you have floor seats to every WNBA game. That is, 190 00:08:58,480 --> 00:09:00,760 Speaker 1: in fact, if Nashville even had the team. I don't 191 00:09:00,800 --> 00:09:02,880 Speaker 1: actually know that for a fact, even as a massive 192 00:09:02,960 --> 00:09:05,679 Speaker 1: w NBA fan myself. I want to play this clip 193 00:09:05,720 --> 00:09:09,360 Speaker 1: of Angela Reese, one of the dominant w NBA players, 194 00:09:09,520 --> 00:09:12,880 Speaker 1: talking about the pay that the w NBA players receive 195 00:09:12,920 --> 00:09:15,400 Speaker 1: and what she may do and her fellow teammates may 196 00:09:15,440 --> 00:09:17,680 Speaker 1: do if the pay does not increase. Let's watch this 197 00:09:17,720 --> 00:09:18,760 Speaker 1: and we'll get your reactions. 198 00:09:19,160 --> 00:09:23,199 Speaker 6: So y'all benefited from everything, y'all Youngin's benefited from nil. 199 00:09:23,480 --> 00:09:24,360 Speaker 5: What does that mean? 200 00:09:24,480 --> 00:09:27,080 Speaker 2: We deserve more of everybody? 201 00:09:27,080 --> 00:09:28,680 Speaker 4: I agree every I agree with that. 202 00:09:29,120 --> 00:09:29,840 Speaker 5: But we gotta get pa. 203 00:09:31,120 --> 00:09:33,080 Speaker 2: We gotta get y'all something. 204 00:09:33,679 --> 00:09:34,880 Speaker 1: Y'all gotta do something. 205 00:09:35,440 --> 00:09:38,640 Speaker 7: I've been in the meetings. They are I didn't get done. 206 00:09:39,160 --> 00:09:41,319 Speaker 1: You need it comes in getting the meetings because I'm 207 00:09:41,360 --> 00:09:43,080 Speaker 1: hearing like they don't give it, and y'all don't give 208 00:09:43,120 --> 00:09:43,720 Speaker 1: us what we want. 209 00:09:43,840 --> 00:09:47,160 Speaker 7: Like we said out that's a possibility for real. 210 00:09:47,480 --> 00:09:50,080 Speaker 2: Yeah, yeah, interesting there. 211 00:09:50,600 --> 00:09:54,320 Speaker 1: Just for some statistical reference then, The w NBA has 212 00:09:54,360 --> 00:09:56,240 Speaker 1: been around since nineteen ninety six. It has yet to 213 00:09:56,280 --> 00:09:59,640 Speaker 1: turn a profit. It is lost about ten million dollars 214 00:09:59,679 --> 00:10:02,600 Speaker 1: per year, and twenty twenty four reports from the Washington 215 00:10:02,640 --> 00:10:05,440 Speaker 1: Post and the New York Post projected losses ranging between 216 00:10:05,480 --> 00:10:08,360 Speaker 1: forty and fifty million dollars per year. Now they say 217 00:10:08,400 --> 00:10:10,800 Speaker 1: they want what the NBA wants, which is a revenue share. 218 00:10:10,920 --> 00:10:14,440 Speaker 1: If they were to share the cost of losing fifty 219 00:10:14,480 --> 00:10:17,479 Speaker 1: million dollars a year, that would mean that every WNBA 220 00:10:17,559 --> 00:10:19,560 Speaker 1: player would need to pay one hundred and seventy three 221 00:10:19,559 --> 00:10:21,320 Speaker 1: thousand dollars in order to play. 222 00:10:21,360 --> 00:10:23,680 Speaker 2: That's not making any money. That's out of their own pocket. 223 00:10:23,720 --> 00:10:26,960 Speaker 1: Aaron, what are your thoughts overall with the misunderstanding of 224 00:10:26,960 --> 00:10:28,480 Speaker 1: how supply and demand works. 225 00:10:29,600 --> 00:10:32,440 Speaker 3: I'm so glad you asked, because really, what it boils 226 00:10:32,480 --> 00:10:36,560 Speaker 3: down to is that the WNBA is welfare for tall 227 00:10:36,640 --> 00:10:41,240 Speaker 3: women in America, right if they if we were following 228 00:10:41,280 --> 00:10:45,000 Speaker 3: basic economic principles like you said, these women would owe 229 00:10:45,080 --> 00:10:47,880 Speaker 3: us money for being forced to even talk. I want 230 00:10:47,880 --> 00:10:50,439 Speaker 3: money for having to talk about this on this program. Okay, 231 00:10:50,840 --> 00:10:54,280 Speaker 3: this is so boring. They are so bad. And you 232 00:10:54,320 --> 00:10:56,520 Speaker 3: know what, if she's threatening to not ply until she 233 00:10:56,559 --> 00:10:59,520 Speaker 3: gets paid more, don't threaten me with a good time. 234 00:10:59,760 --> 00:11:03,280 Speaker 3: Go ahead, be my guest, don't play. And let's just 235 00:11:03,480 --> 00:11:05,800 Speaker 3: I would. I would, honestly, I would contribute money. I've 236 00:11:05,800 --> 00:11:08,240 Speaker 3: never been to a WNBA game. I would pay the 237 00:11:08,280 --> 00:11:10,200 Speaker 3: ticket cost for them to not play. 238 00:11:10,600 --> 00:11:11,439 Speaker 8: That's how far all go. 239 00:11:11,880 --> 00:11:14,080 Speaker 3: Okay, that's how much I hate the WNBA. 240 00:11:14,520 --> 00:11:16,800 Speaker 9: Maybe maybe that would be a that would be a 241 00:11:16,880 --> 00:11:19,319 Speaker 9: hilarious I don't know if you would call it a protest, 242 00:11:19,400 --> 00:11:22,080 Speaker 9: but like a stunt to publicity stunt the way to 243 00:11:22,120 --> 00:11:25,200 Speaker 9: have the entire arena be sold out specifically to not 244 00:11:25,360 --> 00:11:26,280 Speaker 9: watch them play back. 245 00:11:26,440 --> 00:11:29,720 Speaker 3: Please, please do not diminish my cause, which is to 246 00:11:29,840 --> 00:11:32,800 Speaker 3: stop the terrors that is the w NBA, so we 247 00:11:32,840 --> 00:11:34,559 Speaker 3: can all move on with our lives. 248 00:11:35,240 --> 00:11:38,839 Speaker 1: Chris, you are obviously, you know, gonna fully disagree. Is 249 00:11:38,880 --> 00:11:42,040 Speaker 1: you are a die hard whatever in WNBA team is 250 00:11:42,040 --> 00:11:45,880 Speaker 1: in Nashville, I think. But do you think there is 251 00:11:45,960 --> 00:11:49,880 Speaker 1: going to be any sort of I don't know, lesson 252 00:11:50,120 --> 00:11:52,240 Speaker 1: of economics that is going to be taught to these 253 00:11:52,280 --> 00:11:55,800 Speaker 1: women who are apparently won the big money, the big 254 00:11:55,840 --> 00:11:58,640 Speaker 1: bucks that the league that actually has viewers gets like, 255 00:11:58,880 --> 00:12:00,079 Speaker 1: will they learn at any. 256 00:12:00,840 --> 00:12:02,840 Speaker 5: Well, if they actually set out, I mean, they're going 257 00:12:02,880 --> 00:12:04,920 Speaker 5: to learn a few things the hard road, that's for sure. 258 00:12:05,880 --> 00:12:08,360 Speaker 5: Who is going to come back to the NBA after 259 00:12:08,480 --> 00:12:10,880 Speaker 5: the WNBA, after they've turned their back on their fan 260 00:12:11,679 --> 00:12:14,120 Speaker 5: I don't know who would return to that. But the 261 00:12:14,160 --> 00:12:16,840 Speaker 5: thing that the WNBA has is an issue in making stars. 262 00:12:16,880 --> 00:12:19,120 Speaker 5: They had a star ready to go, Caitlyn Clark, and 263 00:12:19,160 --> 00:12:21,600 Speaker 5: then they doubled down on wokeism, they doubled down on 264 00:12:21,640 --> 00:12:23,720 Speaker 5: the ideology and then she's like, oh, I'm so sorry 265 00:12:23,720 --> 00:12:27,440 Speaker 5: for being white. The WNBA has a really big issue. 266 00:12:27,880 --> 00:12:30,280 Speaker 5: It really does start and end with the players, though. 267 00:12:30,679 --> 00:12:33,080 Speaker 1: Yeah, I've never seen a league, or even group of 268 00:12:33,080 --> 00:12:36,720 Speaker 1: people for that matter, be so hostile toward their own 269 00:12:36,840 --> 00:12:39,880 Speaker 1: success as they finally got one player that everybody's watching 270 00:12:39,920 --> 00:12:40,480 Speaker 1: and they're. 271 00:12:40,240 --> 00:12:43,839 Speaker 2: Like, oh, we hate this. Aaron and Chris, thanks so much. 272 00:12:44,120 --> 00:12:46,240 Speaker 1: The panel will be back right after the break, and 273 00:12:46,320 --> 00:12:48,719 Speaker 1: also we will check in with Turning Points White House 274 00:12:48,720 --> 00:12:51,840 Speaker 1: Correspondent Monica Page on what's going on in the Oval 275 00:12:51,840 --> 00:12:54,360 Speaker 1: Office and beyond. O'kle oyle will be right back after this. 276 00:13:05,920 --> 00:13:08,280 Speaker 1: Welcome back to Turning Point tonight, where we are charting 277 00:13:08,280 --> 00:13:10,839 Speaker 1: the course of America's cultural comeback. My name is Joe Bob, 278 00:13:10,880 --> 00:13:13,079 Speaker 1: and I'm so glad you're stuck with that. They're stuck 279 00:13:13,160 --> 00:13:15,800 Speaker 1: with us through the break. We also don't forget you 280 00:13:15,800 --> 00:13:18,280 Speaker 1: can email the show anytime you want to TPT at 281 00:13:18,520 --> 00:13:21,240 Speaker 1: tpusa dot com. We love to read everything you have 282 00:13:21,280 --> 00:13:23,920 Speaker 1: to say, if you agree with us or you're wrong. 283 00:13:24,400 --> 00:13:26,000 Speaker 1: But it's time for our favorite part of the day, 284 00:13:26,080 --> 00:13:28,360 Speaker 1: when we check in with Turning Points White House Correspondent 285 00:13:28,400 --> 00:13:31,319 Speaker 1: Monica Page where there's some really interesting news coming out 286 00:13:31,320 --> 00:13:33,000 Speaker 1: of the Oval Office. You want to tell us about 287 00:13:33,080 --> 00:13:36,160 Speaker 1: this whole Ukraine thing. That's happening now in real time. 288 00:13:37,200 --> 00:13:39,280 Speaker 4: Yeah, Joe, Bob, great to be with you as always. Well, 289 00:13:39,280 --> 00:13:42,079 Speaker 4: it appears that there could be a thirty day ceasefire 290 00:13:42,120 --> 00:13:45,400 Speaker 4: deal that has officially been brokered between Ukraine and Russia. 291 00:13:45,440 --> 00:13:48,000 Speaker 4: Now the ball is in Russia's court, but essentially Secretary 292 00:13:48,000 --> 00:13:52,600 Speaker 4: of State Marco Rubio is overseas with Mike Waltz in 293 00:13:52,640 --> 00:13:57,600 Speaker 4: Saudi Arabia brokering this deal between Ukraine and Russia, where apparently, 294 00:13:57,679 --> 00:14:01,480 Speaker 4: you know, originally we had off or paused all kinds 295 00:14:01,520 --> 00:14:04,560 Speaker 4: of intel and military assistance to Ukraine because it was 296 00:14:04,600 --> 00:14:07,280 Speaker 4: clear that Ukraine back here at the White House didn't 297 00:14:07,280 --> 00:14:09,560 Speaker 4: seem to really want peace, didn't see them to really 298 00:14:09,600 --> 00:14:12,080 Speaker 4: want to forge the way for peace. But now things 299 00:14:12,080 --> 00:14:14,760 Speaker 4: have changed after these meetings that have happened overseas, where 300 00:14:14,800 --> 00:14:17,440 Speaker 4: it appears now that Ukraine is ready for peace. So 301 00:14:17,800 --> 00:14:20,480 Speaker 4: now there will be a thirty day cease fire in 302 00:14:20,520 --> 00:14:23,200 Speaker 4: which we will be providing some more intel assistance and 303 00:14:23,240 --> 00:14:26,920 Speaker 4: military assistance to Ukraine. If peace is really on the table, 304 00:14:26,960 --> 00:14:29,480 Speaker 4: if Ukraine says they want peace this much, then let's 305 00:14:29,480 --> 00:14:32,240 Speaker 4: put this to the test, and let's see by giving 306 00:14:32,480 --> 00:14:35,520 Speaker 4: Ukraine and allowing the intel and military assistants to be 307 00:14:35,760 --> 00:14:38,800 Speaker 4: happening here once again, so very interesting stuff. We'll see 308 00:14:39,120 --> 00:14:42,160 Speaker 4: if Russia will agree to this deal or not. But 309 00:14:42,280 --> 00:14:44,320 Speaker 4: essentially that's what's coming out of the White House right now. 310 00:14:44,360 --> 00:14:46,480 Speaker 4: So we'll see if Ukraine really wants peace or not. 311 00:14:46,520 --> 00:14:48,360 Speaker 4: We'll see if Russia really wants to end this war 312 00:14:48,400 --> 00:14:50,720 Speaker 4: as well. And that's the latest coming out of the 313 00:14:50,720 --> 00:14:51,440 Speaker 4: White House today. 314 00:14:51,920 --> 00:14:54,040 Speaker 1: Yeah, I was going to ask if you know this 315 00:14:54,160 --> 00:14:57,520 Speaker 1: obviously contingent on what Russia says as well, considering all 316 00:14:57,520 --> 00:15:00,360 Speaker 1: the pushback the President Trump got with his over office 317 00:15:00,360 --> 00:15:01,359 Speaker 1: meeting with Zelenski. 318 00:15:01,400 --> 00:15:02,400 Speaker 2: What was that two weeks ago? 319 00:15:02,440 --> 00:15:05,960 Speaker 1: Now almost you know, I guess how is this news 320 00:15:05,960 --> 00:15:11,800 Speaker 1: being received by your counterparts in the White House Press Cohort? 321 00:15:12,520 --> 00:15:14,920 Speaker 4: Well, the White House Press seemed to kind of be 322 00:15:15,040 --> 00:15:17,360 Speaker 4: taken aback. They seem to be taken by surprise by 323 00:15:17,400 --> 00:15:19,440 Speaker 4: this latest news. I mean to hear some of the 324 00:15:19,480 --> 00:15:22,840 Speaker 4: reporters in the press briefing this afternoon, they seem to 325 00:15:23,160 --> 00:15:25,080 Speaker 4: I mean, I feel like they're a little bit in shock, 326 00:15:25,200 --> 00:15:27,720 Speaker 4: but by the fact that President Trump could do this. 327 00:15:27,840 --> 00:15:29,720 Speaker 4: But this is something that President Trump has been clear 328 00:15:29,720 --> 00:15:32,560 Speaker 4: about on day one, that he could end this war 329 00:15:33,080 --> 00:15:35,120 Speaker 4: if he really wanted to within forty eight hours. And 330 00:15:35,160 --> 00:15:37,960 Speaker 4: we're seeing that less than three months into this presidency 331 00:15:38,000 --> 00:15:41,160 Speaker 4: that he's already taking those necessary steps to end this war. 332 00:15:41,200 --> 00:15:43,640 Speaker 4: I mean, granted it hasn't been forty eight hours, but 333 00:15:43,720 --> 00:15:47,280 Speaker 4: it's still massive progress considering this war has been happening 334 00:15:47,280 --> 00:15:48,920 Speaker 4: for well over two years now. It happened under the 335 00:15:48,960 --> 00:15:52,000 Speaker 4: Biden administration, and President Trump has been clear. So I 336 00:15:52,040 --> 00:15:53,520 Speaker 4: think a lot of the reporters here are a little 337 00:15:53,560 --> 00:15:55,880 Speaker 4: bit surprised that President Trump could really pull this off. 338 00:15:55,960 --> 00:15:58,160 Speaker 4: But at the end of the day, I mean here 339 00:15:58,480 --> 00:16:00,680 Speaker 4: at the White House, I mean, I'm personally not surprised. 340 00:16:00,680 --> 00:16:02,760 Speaker 4: I knew this is what President Trump wanted. I know 341 00:16:02,840 --> 00:16:05,960 Speaker 4: this is what Ukraine wants, especially there's been killings both 342 00:16:06,080 --> 00:16:08,880 Speaker 4: Ukraine and Russia side, of course, and President Trump has 343 00:16:08,880 --> 00:16:09,880 Speaker 4: wanted to put a stop to this. 344 00:16:10,720 --> 00:16:13,400 Speaker 1: Yeah, well it sounds like, hey, maybe hold your horses, 345 00:16:13,440 --> 00:16:16,480 Speaker 1: big time media and let's just see how things play out. 346 00:16:17,040 --> 00:16:20,640 Speaker 1: It may actually work out in everyone's favor. Monica only 347 00:16:20,680 --> 00:16:22,840 Speaker 1: got like twenty seconds on this, but President Trump came 348 00:16:22,840 --> 00:16:24,240 Speaker 1: out and said, hey, he's going to buy a Tesla 349 00:16:24,280 --> 00:16:27,440 Speaker 1: to support all of the protests going on against Elon 350 00:16:27,600 --> 00:16:31,440 Speaker 1: by the deranged lunatics. Do you think that you might 351 00:16:31,600 --> 00:16:34,720 Speaker 1: get that Tesla and be the recipient of President Trump's purchase. 352 00:16:36,160 --> 00:16:38,480 Speaker 4: I wish and I hope, especially if he buys a 353 00:16:38,520 --> 00:16:40,880 Speaker 4: cyber truck, because I am probably the world's biggest cyber 354 00:16:40,880 --> 00:16:42,920 Speaker 4: truck fan. If you follow me on social media, you 355 00:16:42,960 --> 00:16:45,160 Speaker 4: probably know that. I think it's pretty funny. But President 356 00:16:45,200 --> 00:16:48,160 Speaker 4: Trump did check out a range of Tesla's, of course, 357 00:16:48,240 --> 00:16:50,400 Speaker 4: the Model S, the Model three, the Model X, the 358 00:16:50,400 --> 00:16:53,000 Speaker 4: Model Y, all spelling out sexy, which I think is 359 00:16:53,040 --> 00:16:55,640 Speaker 4: also pretty funny that Elon Musk did that. But he 360 00:16:55,760 --> 00:16:59,640 Speaker 4: did go with a bright red Model S. He sat 361 00:16:59,680 --> 00:17:01,720 Speaker 4: in the driver's seat and he checked out the dashboard 362 00:17:01,760 --> 00:17:03,320 Speaker 4: and he was like, it's like the whole thing's a computer. 363 00:17:03,440 --> 00:17:05,520 Speaker 4: He was pretty shocked and taken it back by the 364 00:17:05,560 --> 00:17:08,600 Speaker 4: really cool technology that Tesla has. Elon Musk, and of 365 00:17:08,600 --> 00:17:11,520 Speaker 4: course Little X was accompanying him on the South Lawn 366 00:17:11,560 --> 00:17:13,920 Speaker 4: this afternoon while President Trump was showing his support for 367 00:17:13,960 --> 00:17:16,840 Speaker 4: Tesla's So all positive news here from the White House, 368 00:17:16,880 --> 00:17:19,239 Speaker 4: and we'll see how the next couple of days turns out. 369 00:17:19,280 --> 00:17:19,720 Speaker 4: But the rest of the. 370 00:17:19,720 --> 00:17:22,600 Speaker 1: Week, so what I heard was unconfirmed that Monica Page 371 00:17:22,640 --> 00:17:24,280 Speaker 1: will actually get the Tesla. 372 00:17:25,359 --> 00:17:26,720 Speaker 2: Thanks Bondiga, I really. 373 00:17:26,560 --> 00:17:28,360 Speaker 4: Appreciate it those unconfirmed reports. 374 00:17:29,160 --> 00:17:30,720 Speaker 2: I really appreciate you taking the time. 375 00:17:30,600 --> 00:17:32,400 Speaker 4: To chat with us anytime. 376 00:17:32,440 --> 00:17:35,120 Speaker 2: Thanks Joe, Bob, thank you, Monica Page. 377 00:17:35,160 --> 00:17:38,520 Speaker 1: Turning points White House Correspondent always a pleasure. You know, 378 00:17:39,440 --> 00:17:42,640 Speaker 1: there's been a whole thing the Left can't meme. Conservatives 379 00:17:42,800 --> 00:17:46,280 Speaker 1: have dominated the meme wars. We have a you know, 380 00:17:46,520 --> 00:17:48,760 Speaker 1: a general in the mean wars as the president's son, 381 00:17:48,840 --> 00:17:50,879 Speaker 1: Donald J. Trump Junior. Actually I don't know if his 382 00:17:50,880 --> 00:17:53,639 Speaker 1: middle name is Jay. Regardless, the left can't meme has 383 00:17:53,680 --> 00:17:58,160 Speaker 1: been a thing ever since memes were invented. And now 384 00:17:58,560 --> 00:18:03,560 Speaker 1: finally it appears the left has started this kind of 385 00:18:03,680 --> 00:18:08,719 Speaker 1: funny meme. Right, They've struck something that actually is funny 386 00:18:08,760 --> 00:18:11,120 Speaker 1: and entertaining and engaging, and its memes about JD. 387 00:18:11,280 --> 00:18:14,280 Speaker 2: Vance. Now, the good news is we have now. 388 00:18:14,240 --> 00:18:18,080 Speaker 1: Adopted that into our own meme culture and made it 389 00:18:18,160 --> 00:18:21,399 Speaker 1: even better. Let's bring our panel back Aaron Wexler and 390 00:18:21,480 --> 00:18:25,680 Speaker 1: Chris Hand to chat about this. You know, I think, 391 00:18:26,119 --> 00:18:28,120 Speaker 1: first of all, if this is the TV audience, it 392 00:18:28,160 --> 00:18:31,600 Speaker 1: may be that they haven't seen everything that's going on 393 00:18:31,600 --> 00:18:35,680 Speaker 1: on the X space all of the social media platforms. 394 00:18:35,720 --> 00:18:37,280 Speaker 2: But this has been a massive thing. Jd. 395 00:18:37,400 --> 00:18:41,320 Speaker 1: Vance is now everywhere doing everything as his face is 396 00:18:41,359 --> 00:18:45,440 Speaker 1: being replaced in pretty much every famous photo ever created. 397 00:18:45,480 --> 00:18:47,800 Speaker 1: You'll see some of those photos in the b roll 398 00:18:47,840 --> 00:18:49,639 Speaker 1: while our guests are speaking. But Aaron, I want to 399 00:18:49,680 --> 00:18:53,639 Speaker 1: get your take on this. I guess what does it 400 00:18:53,720 --> 00:18:55,919 Speaker 1: mean now that the left has finally found something funny 401 00:18:55,920 --> 00:18:58,160 Speaker 1: that we've kind of co opted and made our own. 402 00:18:58,400 --> 00:18:59,640 Speaker 1: I guess what does this say? 403 00:18:59,680 --> 00:18:59,760 Speaker 6: It? 404 00:19:00,480 --> 00:19:02,640 Speaker 3: Well, this is this is what keeps happening with the left. 405 00:19:02,680 --> 00:19:05,320 Speaker 3: So they actually tried first to paint us as villains 406 00:19:05,320 --> 00:19:08,040 Speaker 3: the selection cycle. And I recently wrote about this in 407 00:19:08,119 --> 00:19:10,080 Speaker 3: Human Events. Not to plug that, but it is an 408 00:19:10,119 --> 00:19:13,199 Speaker 3: article where I am talking about how the left, in 409 00:19:13,240 --> 00:19:15,520 Speaker 3: painting us one way that we actually embrace, they don't 410 00:19:15,520 --> 00:19:17,239 Speaker 3: know what to do with it. And so, you know, 411 00:19:17,280 --> 00:19:19,280 Speaker 3: in being the villain and looking good that way, in 412 00:19:19,359 --> 00:19:22,200 Speaker 3: like dark Maga, people became. 413 00:19:21,960 --> 00:19:22,639 Speaker 4: Attracted to us. 414 00:19:22,680 --> 00:19:24,920 Speaker 3: And the same thing is happening here now with this joke. 415 00:19:25,119 --> 00:19:27,719 Speaker 3: The left didn't They weren't even trying to be funny. 416 00:19:27,800 --> 00:19:29,840 Speaker 3: That's what makes it so funny. They were trying to 417 00:19:29,880 --> 00:19:33,720 Speaker 3: be hateful and hurtful, and instead JD. Vance is tweeting 418 00:19:33,800 --> 00:19:37,040 Speaker 3: out these memes of himself And I think that's the 419 00:19:37,080 --> 00:19:39,520 Speaker 3: sign of true humor when you're able to laugh at yourself. 420 00:19:39,520 --> 00:19:41,719 Speaker 3: If you're not able to laugh at yourself, you're not 421 00:19:41,760 --> 00:19:44,640 Speaker 3: actually funny. And the left is so unfunny right now. 422 00:19:44,640 --> 00:19:48,160 Speaker 3: They're so unable to self reflect and even laugh at themselves, 423 00:19:48,280 --> 00:19:49,760 Speaker 3: and they don't know what to do when we take 424 00:19:49,800 --> 00:19:52,800 Speaker 3: a meme like this and just absolutely embrace it. And 425 00:19:52,840 --> 00:19:55,080 Speaker 3: that's again what we're doing on the right with all 426 00:19:55,240 --> 00:19:57,040 Speaker 3: these things that they keep trying to throw at us. 427 00:19:57,400 --> 00:20:01,520 Speaker 1: You know, it reminds me of there's seven either memes 428 00:20:01,600 --> 00:20:06,520 Speaker 1: or reels of pro abortionists saying, well, if women can't 429 00:20:06,520 --> 00:20:09,080 Speaker 1: don't have control over their body, then the men should 430 00:20:09,160 --> 00:20:12,160 Speaker 1: be forced to stay. And we are like, well, us 431 00:20:12,200 --> 00:20:15,320 Speaker 1: the pro life conservatives agree with this message. Thank you 432 00:20:15,359 --> 00:20:18,919 Speaker 1: for making our point for us, Chris. Is this an 433 00:20:18,920 --> 00:20:22,080 Speaker 1: instance where the left is going to recognize, Hey, you 434 00:20:22,200 --> 00:20:25,120 Speaker 1: making fun of us is not actually getting the point 435 00:20:25,119 --> 00:20:27,840 Speaker 1: across that you think it is, or are they going 436 00:20:27,880 --> 00:20:30,920 Speaker 1: to continue to go down the dismal hellhole of unfunny 437 00:20:30,920 --> 00:20:31,840 Speaker 1: internet memes. 438 00:20:32,359 --> 00:20:34,320 Speaker 5: I feel like you're putting a lot on the left 439 00:20:34,400 --> 00:20:37,280 Speaker 5: asking for them to have self awareness just for startups, 440 00:20:37,359 --> 00:20:41,280 Speaker 5: but that'll never happen. But to piggyback on what Aaron said, 441 00:20:41,720 --> 00:20:44,720 Speaker 5: it's so true. They tried to make something hateful. They 442 00:20:44,760 --> 00:20:47,359 Speaker 5: tried to make something to bash jd Vance and everybody what, 443 00:20:47,680 --> 00:20:50,680 Speaker 5: that's hilarious, let's use that, and then they put rocket 444 00:20:50,680 --> 00:20:52,840 Speaker 5: boosters on it and it turned into what we saw today. 445 00:20:53,600 --> 00:20:57,000 Speaker 5: That's my favorite. Dvance is, mister Rodgers. What one was 446 00:20:57,040 --> 00:20:59,760 Speaker 5: your favorite? There are so many to choose from, because 447 00:20:59,800 --> 00:21:03,480 Speaker 5: the right right now is the creative space. It is 448 00:21:03,560 --> 00:21:06,439 Speaker 5: where the new ideas are coming from. And you can 449 00:21:06,520 --> 00:21:08,879 Speaker 5: see it just with the creativity and the memes. 450 00:21:09,320 --> 00:21:13,720 Speaker 1: Yeah, you know, speaking of big time libs and creativity, 451 00:21:13,960 --> 00:21:16,720 Speaker 1: another big time lib has launched into. 452 00:21:16,400 --> 00:21:17,639 Speaker 2: This podcast space. 453 00:21:17,720 --> 00:21:21,080 Speaker 1: We all, I think watched Charlie Kirk's podcast with Gavin 454 00:21:21,160 --> 00:21:25,320 Speaker 1: Newsom in which Gavin apparently agrees with everything that Charlie said, 455 00:21:25,320 --> 00:21:28,520 Speaker 1: which I thought was fascinating. But in that podcast space 456 00:21:28,560 --> 00:21:31,280 Speaker 1: there's a new lib trying to take take hold, and 457 00:21:31,440 --> 00:21:34,560 Speaker 1: that lib is Michelle Obama, who announced a podcast that 458 00:21:34,640 --> 00:21:37,679 Speaker 1: she's going to be doing with her brother Craig Robinson 459 00:21:37,800 --> 00:21:41,000 Speaker 1: called I Am O which some people say stands for. 460 00:21:41,080 --> 00:21:43,640 Speaker 1: In my opinion, I thought it was insightful male Oprah, 461 00:21:43,760 --> 00:21:49,520 Speaker 1: I'm not entirely sure what it is, but Aaron, do 462 00:21:49,600 --> 00:21:51,640 Speaker 1: you think this sort of. 463 00:21:51,640 --> 00:21:53,920 Speaker 2: Format is actually going to work for Libs? 464 00:21:53,960 --> 00:21:55,800 Speaker 1: They've been saying for a long time, we need a 465 00:21:55,880 --> 00:21:58,680 Speaker 1: Joe Rogan, we need a Theo Vaughn. 466 00:21:59,600 --> 00:22:01,720 Speaker 2: Is this the answer? Is Michelle Obama going to be 467 00:22:01,720 --> 00:22:02,159 Speaker 2: the answer? 468 00:22:02,800 --> 00:22:06,480 Speaker 3: Well, Michelle Obama is obviously a highly popular on the left. 469 00:22:06,560 --> 00:22:08,440 Speaker 3: I was very afraid when it looked when we knew 470 00:22:08,480 --> 00:22:09,840 Speaker 3: that Joe Biden was going to be dropping out of 471 00:22:09,880 --> 00:22:12,560 Speaker 3: the race, I was deeply, deeply afraid Michelle would run 472 00:22:12,640 --> 00:22:14,480 Speaker 3: to take his place. And I was just relieved to 473 00:22:14,480 --> 00:22:16,080 Speaker 3: know that she enjoyed her life too much and the 474 00:22:16,119 --> 00:22:18,560 Speaker 3: celebrity and really did not want to run for president. 475 00:22:18,720 --> 00:22:20,480 Speaker 3: That that's what saved us, because I think she really 476 00:22:20,520 --> 00:22:25,040 Speaker 3: had a good chance of winning. But regardless, today we 477 00:22:25,080 --> 00:22:27,760 Speaker 3: are cursed these days with a Megan Markle show and 478 00:22:27,800 --> 00:22:31,840 Speaker 3: now it seems a Michelle Obama podcast, And I actually 479 00:22:31,840 --> 00:22:34,240 Speaker 3: think I look at this less as maybe she's trying 480 00:22:34,280 --> 00:22:36,560 Speaker 3: to be Joe Rogan and more of a are she 481 00:22:36,640 --> 00:22:39,720 Speaker 3: and Barack soft launching a divorce, and is that what 482 00:22:39,920 --> 00:22:42,080 Speaker 3: this is? And this is Michelle kind of stepping out 483 00:22:42,119 --> 00:22:44,320 Speaker 3: on her own and bringing her brother into it, and 484 00:22:44,359 --> 00:22:47,240 Speaker 3: that would be just huge. I don't think we've ever 485 00:22:47,280 --> 00:22:51,440 Speaker 3: seen a presidential divorce as a nation. So we'll wait 486 00:22:51,520 --> 00:22:53,720 Speaker 3: and see, but I think that's really what's going on here. 487 00:22:54,240 --> 00:22:59,560 Speaker 1: Yeah, Chris, I'm curious. Do you think she's kind of 488 00:23:00,160 --> 00:23:03,240 Speaker 1: seeing what's out there in regards to running in twenty 489 00:23:03,320 --> 00:23:06,040 Speaker 1: twenty eight as the Democratic nomination? Aaron, I think is 490 00:23:06,080 --> 00:23:08,440 Speaker 1: absolutely right. I think a lot of people were really 491 00:23:08,480 --> 00:23:10,760 Speaker 1: nervous that she was going to backfill Joe Biden when 492 00:23:10,760 --> 00:23:12,320 Speaker 1: he dropped out. Do you think this is setting her 493 00:23:12,400 --> 00:23:15,440 Speaker 1: up to potentially be the DNC nominee. 494 00:23:16,280 --> 00:23:17,840 Speaker 5: I mean, I could see why you would think that, 495 00:23:18,000 --> 00:23:20,959 Speaker 5: especially after the Gavin Newsom podcast, because everybody says, well, 496 00:23:20,960 --> 00:23:23,320 Speaker 5: he's running in twenty twenty eight. I think if she 497 00:23:23,359 --> 00:23:24,960 Speaker 5: had wanted to do that, she would have struck a 498 00:23:25,000 --> 00:23:27,480 Speaker 5: lot sooner while the iron was hot. I don't think 499 00:23:27,560 --> 00:23:29,399 Speaker 5: that she's going to have the momentum if she was 500 00:23:29,440 --> 00:23:31,000 Speaker 5: to run in twenty twenty eight that she could have 501 00:23:31,040 --> 00:23:34,320 Speaker 5: had replacing Joe Biden. So that doesn't really make me 502 00:23:34,800 --> 00:23:37,280 Speaker 5: nervous at all. I know it makes some conservative nervous 503 00:23:37,280 --> 00:23:39,359 Speaker 5: and I totally get it, but I don't see it 504 00:23:39,640 --> 00:23:43,480 Speaker 5: for me. I just think Michelle Obama really likes Michelle Obama, 505 00:23:43,560 --> 00:23:46,439 Speaker 5: and she really likes being famous a lot more than 506 00:23:46,480 --> 00:23:48,879 Speaker 5: she likes spending time in DC. And I think that 507 00:23:48,960 --> 00:23:51,439 Speaker 5: she saw the attention that Gavin Newsom was getting or 508 00:23:51,560 --> 00:23:54,320 Speaker 5: was about to get, and saw an opening for herself. 509 00:23:54,560 --> 00:23:56,600 Speaker 5: And she also has this big production company and they 510 00:23:56,640 --> 00:23:58,240 Speaker 5: got to spend some of that money. So why not 511 00:23:58,280 --> 00:23:59,600 Speaker 5: a Michelle Obama podcast? 512 00:24:00,119 --> 00:24:02,640 Speaker 1: Yeah, just to clear the air here and make sure 513 00:24:02,640 --> 00:24:03,919 Speaker 1: I don't get myself in trouble. 514 00:24:04,200 --> 00:24:06,040 Speaker 2: That was a joke what I said earlier. 515 00:24:06,080 --> 00:24:07,639 Speaker 1: If you remember it, great, If you don't remember it, 516 00:24:07,680 --> 00:24:11,880 Speaker 1: that's fine too, But definitely a joke kind of let's 517 00:24:11,920 --> 00:24:15,280 Speaker 1: see in the thirty seconds we've got left, the house 518 00:24:15,359 --> 00:24:18,760 Speaker 1: actually agreed on something and voted four two to one, 519 00:24:19,200 --> 00:24:23,240 Speaker 1: including yes votes from AOC and Ilhan Omar, that the 520 00:24:23,560 --> 00:24:25,880 Speaker 1: Border Patrol needs to submit a report about the tunnels 521 00:24:25,880 --> 00:24:28,720 Speaker 1: that the cartel is creating. The only descent was from 522 00:24:28,840 --> 00:24:32,959 Speaker 1: Rashida Talib. Chris, you had some comments earlier. I'd love 523 00:24:33,000 --> 00:24:35,639 Speaker 1: for you to share that why you think Rashida Talib 524 00:24:35,960 --> 00:24:40,399 Speaker 1: was the only nay vote on the cartels. 525 00:24:41,240 --> 00:24:42,800 Speaker 5: Well, the only thing I could think of is that 526 00:24:42,840 --> 00:24:46,679 Speaker 5: she's so used to supporting terrorists that now that cartels 527 00:24:46,720 --> 00:24:50,000 Speaker 5: are terrorist organizations, she saw this bill that was anti 528 00:24:50,080 --> 00:24:52,320 Speaker 5: terrorists and thought, no, no, no, I need to go the 529 00:24:52,359 --> 00:24:54,119 Speaker 5: other way on this. It's the only thing that can 530 00:24:54,200 --> 00:24:57,320 Speaker 5: make any sense to me. Rashida Talib, She's she's usually 531 00:24:57,320 --> 00:24:59,919 Speaker 5: in supportive terrorists and now she's just doing terrorists. And 532 00:25:00,200 --> 00:25:03,320 Speaker 5: as well, why would anybody vot vote against this? It 533 00:25:03,760 --> 00:25:05,280 Speaker 5: makes no sense that. 534 00:25:05,440 --> 00:25:07,840 Speaker 1: That is an interesting take, Aaron, do you have any 535 00:25:07,840 --> 00:25:10,159 Speaker 1: final thoughts as we wrap up? Got about thirty seconds. 536 00:25:10,520 --> 00:25:10,760 Speaker 8: Yeah. 537 00:25:10,800 --> 00:25:13,840 Speaker 3: I mean it's part of her family's culture tunnels, right, 538 00:25:13,960 --> 00:25:16,600 Speaker 3: so I guess it's just par for the course. 539 00:25:18,600 --> 00:25:23,280 Speaker 1: Okay, great, Aaron Wexler Chris had our awesome panel for today. 540 00:25:23,359 --> 00:25:26,160 Speaker 1: Really appreciate you guys coming in. We'll have you back soon. 541 00:25:26,240 --> 00:25:31,600 Speaker 1: Thank you, thanks so much. Awesome Coming up, We've got 542 00:25:31,600 --> 00:25:35,600 Speaker 1: a fantastic cliff from Alex Klark's Culture Apothecary podcast coming 543 00:25:35,640 --> 00:25:36,080 Speaker 1: out next. 544 00:25:36,080 --> 00:25:37,520 Speaker 2: Don't go away, We'll be right back. 545 00:25:43,280 --> 00:25:46,200 Speaker 8: What were your feelings towards going to the ocean after this, 546 00:25:46,760 --> 00:25:51,240 Speaker 8: absolutely terrified. Heck no, no, thank you, Like, do not 547 00:25:51,280 --> 00:25:54,360 Speaker 8: give me anywhere close to the ocean. Were you swimming 548 00:25:54,440 --> 00:25:56,600 Speaker 8: like even in a pool or you away from water? 549 00:25:56,680 --> 00:25:57,720 Speaker 4: No baths? Like what were you? 550 00:25:57,840 --> 00:26:00,840 Speaker 8: I mean really going through bas I remember having like 551 00:26:00,920 --> 00:26:05,960 Speaker 8: sometimes I get flashbacks, but like it was the ocean. 552 00:26:06,240 --> 00:26:08,679 Speaker 8: I feel like I could just go to the difference. 553 00:26:08,720 --> 00:26:11,359 Speaker 8: I canna understand the difference between like salty water and 554 00:26:11,400 --> 00:26:14,639 Speaker 8: regular water. And it was like the ocean. I was like, no, 555 00:26:15,359 --> 00:26:17,399 Speaker 8: I do not know. I don't want to be a neared. 556 00:26:17,520 --> 00:26:20,800 Speaker 10: And your parents had a very interesting way of getting 557 00:26:20,800 --> 00:26:21,639 Speaker 10: you to deal with that. 558 00:26:21,760 --> 00:26:23,280 Speaker 8: What did they tell you that you were going to 559 00:26:23,320 --> 00:26:27,440 Speaker 8: be doing? So they're like like whatever. Six months or 560 00:26:27,440 --> 00:26:30,280 Speaker 8: a year later, they're like, sit us down and they're like, girls, 561 00:26:31,240 --> 00:26:34,359 Speaker 8: we have enrolled to you in beach lifeguard training. 562 00:26:35,320 --> 00:26:40,120 Speaker 10: And I was like, what after surviving a tsunami, your 563 00:26:40,160 --> 00:26:42,199 Speaker 10: parents need to write a parenting book. This is they 564 00:26:42,200 --> 00:26:47,400 Speaker 10: have the most interesting parent approaches I've ever heard, but in. 565 00:26:47,359 --> 00:26:47,920 Speaker 8: A great way. 566 00:26:48,240 --> 00:26:51,000 Speaker 10: This is phenomenal, Like I don't think any modern parents 567 00:26:51,000 --> 00:26:52,520 Speaker 10: would would think to do this. 568 00:26:52,720 --> 00:26:54,920 Speaker 8: So they say you're going to be doing what is 569 00:26:54,960 --> 00:26:57,080 Speaker 8: it called beach life guard training. So you're literally going 570 00:26:57,160 --> 00:27:00,400 Speaker 8: to be training during summer to be a life guard 571 00:27:00,440 --> 00:27:03,360 Speaker 8: on the beach and save people from drowning. Uh huh 572 00:27:03,359 --> 00:27:05,480 Speaker 8: and swim in the ocean. How did that go? 573 00:27:06,280 --> 00:27:06,520 Speaker 4: Well? 574 00:27:06,560 --> 00:27:11,040 Speaker 8: I have a lot of anger at work through, but 575 00:27:11,760 --> 00:27:14,960 Speaker 8: I think my parents, honestly, they really crushed as parents, 576 00:27:14,960 --> 00:27:17,520 Speaker 8: and they were really good at teaching us, like honestly 577 00:27:17,520 --> 00:27:21,080 Speaker 8: like obedience, like just trust wow, which is really because 578 00:27:21,080 --> 00:27:23,439 Speaker 8: they see like the goal as parents to be to 579 00:27:23,560 --> 00:27:26,720 Speaker 8: teach your children obedience because if they're obedient to your 580 00:27:26,760 --> 00:27:29,440 Speaker 8: earthly parents, they're going to be obedient to their heavenly father. 581 00:27:30,119 --> 00:27:33,399 Speaker 8: And like God's love language is obedience. And so I 582 00:27:34,200 --> 00:27:36,480 Speaker 8: just remember being like angry and I was able to 583 00:27:36,520 --> 00:27:38,800 Speaker 8: express it, but I was still like I just had 584 00:27:38,920 --> 00:27:41,480 Speaker 8: so much trust. My parents at this point had been 585 00:27:41,520 --> 00:27:44,240 Speaker 8: good parents, and so even though I didn't understand it 586 00:27:44,280 --> 00:27:47,400 Speaker 8: and I expressed my lack of understanding, I trusted them. 587 00:27:47,920 --> 00:27:50,880 Speaker 8: And so you know, months go by and I'm terrified. 588 00:27:50,920 --> 00:27:53,000 Speaker 8: I'm like, jeez, I know that day's coming. I'm like, 589 00:27:53,080 --> 00:27:55,119 Speaker 8: this is the day. I'm like, I don't want to 590 00:27:55,119 --> 00:27:57,840 Speaker 8: do this. So that day shows up and it's the 591 00:27:57,880 --> 00:28:00,800 Speaker 8: first day of training. I wake up. I had had 592 00:28:00,840 --> 00:28:04,200 Speaker 8: a horrible nightmare. I had had a nightmare that this 593 00:28:04,280 --> 00:28:08,520 Speaker 8: tsunami had swallowed me. And my hair is a complete mess. 594 00:28:08,560 --> 00:28:12,720 Speaker 8: I'm like nervous, being like ten times and I'm looking 595 00:28:12,760 --> 00:28:16,200 Speaker 8: in the mirror and my dad he sees me, and 596 00:28:15,840 --> 00:28:18,440 Speaker 8: you know, he just can tell what's going on, and 597 00:28:19,040 --> 00:28:20,800 Speaker 8: he comes up to me. He gets down on his knees. 598 00:28:20,800 --> 00:28:22,439 Speaker 8: He looks me in the eye and he goes Riley, 599 00:28:23,119 --> 00:28:26,320 Speaker 8: you are fighting a battle between courage and fear, and 600 00:28:26,760 --> 00:28:29,840 Speaker 8: all you need is a little more courage. And that 601 00:28:30,800 --> 00:28:34,719 Speaker 8: those few words, a little more courage like has become 602 00:28:34,720 --> 00:28:38,120 Speaker 8: my motto in life because everyone ever listening to this 603 00:28:38,200 --> 00:28:40,400 Speaker 8: right now, you're fighting a battle between courage and fear. 604 00:28:40,480 --> 00:28:44,080 Speaker 8: It's an everyday thing. It might be like social anxiety, 605 00:28:44,160 --> 00:28:47,960 Speaker 8: or it might be like wanting to enroll in that job, 606 00:28:48,080 --> 00:28:50,800 Speaker 8: or like it's just so many things, but we are 607 00:28:50,840 --> 00:28:54,440 Speaker 8: fighting a battle. And like, fear does not it does 608 00:28:54,480 --> 00:28:58,800 Speaker 8: not stop like death. It stops life. And my parents 609 00:28:58,880 --> 00:29:01,880 Speaker 8: wanted me to live a life, like a life with life, 610 00:29:02,360 --> 00:29:05,680 Speaker 8: and so they my dad like has this saying in 611 00:29:05,720 --> 00:29:08,080 Speaker 8: me and it just was just it did something to 612 00:29:08,120 --> 00:29:09,840 Speaker 8: my heart in that moment and even though I was 613 00:29:09,880 --> 00:29:12,600 Speaker 8: so scared, we get in the car, we drive down 614 00:29:13,160 --> 00:29:16,040 Speaker 8: and we go to beach lifeguard training. We were like 615 00:29:16,160 --> 00:29:18,080 Speaker 8: we had bought a beach house, like on the very 616 00:29:18,160 --> 00:29:19,920 Speaker 8: very top of a hill, which I'm like that was 617 00:29:19,920 --> 00:29:23,240 Speaker 8: definitely a decision motivated after the tsunami, and it was 618 00:29:23,280 --> 00:29:24,520 Speaker 8: like on the top of the hill and we go 619 00:29:24,640 --> 00:29:27,160 Speaker 8: back down. We go, We show up and I remember 620 00:29:27,200 --> 00:29:30,320 Speaker 8: walking around and being like, how's everyone so happy right now? 621 00:29:30,760 --> 00:29:33,120 Speaker 8: Like kids were so excited. And then this little girl 622 00:29:33,200 --> 00:29:35,560 Speaker 8: named Rosie comes up to me and she's like hi, 623 00:29:36,120 --> 00:29:37,920 Speaker 8: and she's like start chatting to me, and she's like 624 00:29:38,000 --> 00:29:40,080 Speaker 8: it's okay, if you're quiet, you can just stand by me. 625 00:29:40,800 --> 00:29:43,000 Speaker 8: Like she just took care of me the whole summer, 626 00:29:43,320 --> 00:29:46,280 Speaker 8: because there were times when I would just like walk 627 00:29:46,280 --> 00:29:48,959 Speaker 8: into the ocean and it's like turn around and just 628 00:29:49,000 --> 00:29:50,800 Speaker 8: not want to touch the water. She was like your 629 00:29:50,800 --> 00:29:53,440 Speaker 8: little guardian angel, no I know, and she'd be like 630 00:29:53,440 --> 00:29:56,200 Speaker 8: it's okay. And so there's one moment we like swim 631 00:29:56,240 --> 00:29:59,080 Speaker 8: out and it was like stormy day and the waves 632 00:29:59,080 --> 00:30:01,240 Speaker 8: are really big. So I got scared and I ran back. 633 00:30:01,360 --> 00:30:03,200 Speaker 8: I swam back in and I sat on the shore 634 00:30:03,920 --> 00:30:05,720 Speaker 8: and she comes up to me and she goes she 635 00:30:05,840 --> 00:30:08,800 Speaker 8: tells me, and she's like, we're eleven, and she goes 636 00:30:08,840 --> 00:30:10,760 Speaker 8: finally like do you want to know a secret? And 637 00:30:10,800 --> 00:30:12,720 Speaker 8: I was like, yeah, what, And She's like, when I 638 00:30:12,760 --> 00:30:16,200 Speaker 8: get scared of something, I always want to close my eyes. 639 00:30:16,280 --> 00:30:18,560 Speaker 8: I open my eyes and I try and find the beauty. 640 00:30:19,200 --> 00:30:21,320 Speaker 8: And so that was like, my little thing in the 641 00:30:21,360 --> 00:30:22,480 Speaker 8: world is your wife. 642 00:30:23,240 --> 00:30:27,560 Speaker 10: Girls, It's crazier, crazier. 643 00:30:27,640 --> 00:30:32,240 Speaker 8: It's so precious, isn't it. Wow, Yes, it's what happens 644 00:30:32,240 --> 00:30:33,360 Speaker 8: when you give God the pen. 645 00:30:35,720 --> 00:30:37,320 Speaker 4: I love that, give God the pen. 646 00:30:37,640 --> 00:30:40,760 Speaker 3: I love that as you grew up, what did you 647 00:30:40,840 --> 00:30:43,080 Speaker 3: feel like God was calling you to do with your life? 648 00:30:43,280 --> 00:30:47,000 Speaker 8: He was calling me to like live a life of courage, 649 00:30:47,360 --> 00:30:49,920 Speaker 8: and he was calling me to help others live that 650 00:30:50,040 --> 00:30:53,200 Speaker 8: life too. I mean just having done, like experienced the 651 00:30:53,200 --> 00:30:55,480 Speaker 8: beach lifeguard training and then I ended up becoming a 652 00:30:55,520 --> 00:30:59,640 Speaker 8: beach lifeguard and lifeguarded for summers and summers and years 653 00:30:59,640 --> 00:31:03,960 Speaker 8: and years in years. And there was this one story 654 00:31:04,000 --> 00:31:05,640 Speaker 8: that I would love to share with you. So it's 655 00:31:05,880 --> 00:31:09,760 Speaker 8: Valentine's Day, which is so sweet because I'm pregnant and 656 00:31:09,840 --> 00:31:12,320 Speaker 8: my baby's ju daate is Valentine's Day. Oh my God, 657 00:31:12,440 --> 00:31:15,240 Speaker 8: and I feel like God does something social on Valentine's Day. 658 00:31:15,280 --> 00:31:19,360 Speaker 8: And so this is years after that. I am I 659 00:31:19,440 --> 00:31:22,840 Speaker 8: had been now a lifeguard for years, and I'm at 660 00:31:22,840 --> 00:31:26,040 Speaker 8: my beach house and it's a stormy day. I'd gone 661 00:31:26,080 --> 00:31:29,240 Speaker 8: there to study because I'm super preeople person and if 662 00:31:29,240 --> 00:31:32,200 Speaker 8: I'm around people, I like get no study done. So 663 00:31:32,240 --> 00:31:34,720 Speaker 8: I'd taken myself out, like to our beach house in 664 00:31:34,760 --> 00:31:39,520 Speaker 8: this quiet, tiny, little beach town, and I decided, even 665 00:31:39,560 --> 00:31:41,360 Speaker 8: though it was stormy, to go for a swim. And 666 00:31:41,400 --> 00:31:43,600 Speaker 8: when I'm out there swimming and nobody else is on 667 00:31:43,640 --> 00:31:46,040 Speaker 8: this beach. When I'm out there swimming, I noticed that, 668 00:31:46,120 --> 00:31:48,640 Speaker 8: like there's huge riptides and it was kind of it 669 00:31:48,680 --> 00:31:50,400 Speaker 8: was like I was freaking out a little bit from 670 00:31:50,440 --> 00:31:54,480 Speaker 8: being out there swimming huge riptides, massive waves, and I'm like, 671 00:31:54,520 --> 00:31:56,160 Speaker 8: this is dangerous. What am I doing right now? So 672 00:31:56,200 --> 00:31:58,560 Speaker 8: I come back in and I sit on the beach, 673 00:31:58,600 --> 00:32:01,240 Speaker 8: and for some reason, I just felt this like inclination 674 00:32:01,400 --> 00:32:03,920 Speaker 8: to wait a little bit. And then all of a sudden, 675 00:32:04,040 --> 00:32:08,320 Speaker 8: I hear this man yelling help, help, and I look 676 00:32:08,440 --> 00:32:11,800 Speaker 8: out to him and he's pointing out at a man 677 00:32:12,160 --> 00:32:16,920 Speaker 8: that's way out past the waves, that's drowning, and instincts 678 00:32:17,080 --> 00:32:19,680 Speaker 8: kick in and my years of training kick in. But 679 00:32:19,720 --> 00:32:22,360 Speaker 8: then I start running to go and like attempt to 680 00:32:22,400 --> 00:32:25,320 Speaker 8: help this man, and knowing that I'd just been in 681 00:32:25,360 --> 00:32:27,080 Speaker 8: the water and I barely went out deep and it 682 00:32:27,160 --> 00:32:29,760 Speaker 8: was already really dangerous, and this man is so far 683 00:32:29,800 --> 00:32:33,880 Speaker 8: out there, He's way past these massive ways. And I 684 00:32:33,920 --> 00:32:37,720 Speaker 8: had this moment where stop right before the water, and 685 00:32:37,880 --> 00:32:40,560 Speaker 8: I was like, what am I doing? Should I do this? 686 00:32:41,240 --> 00:32:44,960 Speaker 8: And all the things of like the instincts of training 687 00:32:45,000 --> 00:32:47,320 Speaker 8: and then the instincts that my parents had put in me, 688 00:32:47,360 --> 00:32:50,200 Speaker 8: of like having the courage to care. And I just 689 00:32:50,240 --> 00:32:52,360 Speaker 8: stood there and I counted to three, and I was like, 690 00:32:52,680 --> 00:32:55,760 Speaker 8: at the point that I say three, I'm going in 691 00:32:55,800 --> 00:32:58,760 Speaker 8: this water, because fear was like coming back up in me. 692 00:32:59,160 --> 00:33:01,080 Speaker 8: And it was like this stormy day and it was 693 00:33:01,120 --> 00:33:03,680 Speaker 8: just like I was just feeling so much and like 694 00:33:03,720 --> 00:33:05,760 Speaker 8: sometimes I get flashbacks, and I was giving a flashback 695 00:33:05,800 --> 00:33:08,200 Speaker 8: of the tsunami and thinking what if I die, like 696 00:33:08,320 --> 00:33:09,760 Speaker 8: I was. All these things were going through my head, 697 00:33:09,800 --> 00:33:11,640 Speaker 8: and so I counted to three and I stepped into 698 00:33:11,640 --> 00:33:14,040 Speaker 8: the water. I start running out to this man. And 699 00:33:14,040 --> 00:33:17,000 Speaker 8: then I'm swimming out to him, and thankfully that day 700 00:33:17,040 --> 00:33:19,200 Speaker 8: I had brought with me like flippers, like fins, and 701 00:33:19,240 --> 00:33:21,080 Speaker 8: so I put them on and they're just like so 702 00:33:21,120 --> 00:33:23,680 Speaker 8: helpful to camp me there to reach his man quicker. 703 00:33:23,960 --> 00:33:27,520 Speaker 8: And when I'm about like fifty meters from him, I 704 00:33:27,600 --> 00:33:30,560 Speaker 8: realized he's he put his head. They do this thing 705 00:33:30,600 --> 00:33:32,720 Speaker 8: when you're drowning. It's called like climbing the ladder, where 706 00:33:32,720 --> 00:33:35,280 Speaker 8: you're like like moving your hands up and down like 707 00:33:35,320 --> 00:33:37,440 Speaker 8: you're climbing a ladder, and he'd stopped doing that, and 708 00:33:37,480 --> 00:33:39,640 Speaker 8: his head was now on the ground in the water, 709 00:33:39,720 --> 00:33:41,640 Speaker 8: I mean. And as I'm getting closer and closer, his 710 00:33:41,720 --> 00:33:45,800 Speaker 8: body starts drifting underneath the water to the bottom. And 711 00:33:45,920 --> 00:33:48,080 Speaker 8: I dive down and I grab him and I pull 712 00:33:48,160 --> 00:33:51,400 Speaker 8: him up on my chest and I'm yelling at him 713 00:33:51,440 --> 00:33:54,480 Speaker 8: no response, and I'm checking his pulse and I can't 714 00:33:54,480 --> 00:33:57,480 Speaker 8: found a pulse. He had drowned. And so I had 715 00:33:57,520 --> 00:33:59,360 Speaker 8: this moment where I counted three again and I'm like, 716 00:33:59,520 --> 00:34:03,280 Speaker 8: I will not give up on you. You are not done. 717 00:34:03,440 --> 00:34:05,440 Speaker 8: And so I grabbed this man, even though he was 718 00:34:05,600 --> 00:34:07,240 Speaker 8: he was a large man, and I pull him on 719 00:34:07,280 --> 00:34:10,759 Speaker 8: top of me and start cpr on his chest in 720 00:34:11,239 --> 00:34:13,640 Speaker 8: the water, in the water, and he was like, you 721 00:34:13,719 --> 00:34:16,000 Speaker 8: like pull the person on top of you, and you're 722 00:34:16,080 --> 00:34:19,719 Speaker 8: behind them pumping into their chest and then you pull 723 00:34:19,760 --> 00:34:22,120 Speaker 8: them over and then you blow into their mouth. And 724 00:34:22,280 --> 00:34:24,720 Speaker 8: my fins are like working like I was like grief, 725 00:34:24,719 --> 00:34:27,400 Speaker 8: white fins. So it was like a little bit easier 726 00:34:27,400 --> 00:34:30,359 Speaker 8: for me to say water, yeah, very deep water. And 727 00:34:30,480 --> 00:34:34,120 Speaker 8: he all of a sudden throws up and come and 728 00:34:34,280 --> 00:34:38,000 Speaker 8: literally comes back to life, this man, and so I 729 00:34:38,080 --> 00:34:40,200 Speaker 8: grab him and I start pulling him back within. These 730 00:34:40,239 --> 00:34:42,359 Speaker 8: waves are coming in. At one point I lose him 731 00:34:42,640 --> 00:34:44,480 Speaker 8: and I have to like dive under and grab and 732 00:34:44,520 --> 00:34:47,640 Speaker 8: I'm like, you are staying with me, You're surviving. And 733 00:34:47,680 --> 00:34:50,040 Speaker 8: I pull this man and he was a German tourist 734 00:34:50,040 --> 00:34:54,480 Speaker 8: swimming in jeans in the ocean, and pull him onto 735 00:34:54,520 --> 00:34:59,280 Speaker 8: the shore, and another crazy coincidence happened. Another small miracle 736 00:34:59,840 --> 00:35:03,680 Speaker 8: is this is a small beach town on a stormy day. 737 00:35:04,000 --> 00:35:07,560 Speaker 8: It happened that the local doctor also wanted to go 738 00:35:07,640 --> 00:35:09,520 Speaker 8: for a walk at this time. Oh my god, I've 739 00:35:09,520 --> 00:35:13,319 Speaker 8: seen this whole thing happen, and thought to himself, dear God, 740 00:35:13,360 --> 00:35:16,480 Speaker 8: there's gonna be two deaths today called the ambulance and 741 00:35:16,520 --> 00:35:19,920 Speaker 8: said prepare for two bodies, because he saw me running 742 00:35:19,920 --> 00:35:21,560 Speaker 8: out to rescue this man and saw that man, think 743 00:35:21,560 --> 00:35:24,880 Speaker 8: you're both gonna die. So the ambulance is already on 744 00:35:24,960 --> 00:35:27,320 Speaker 8: its way. He comes over to us because I'm trained 745 00:35:27,360 --> 00:35:29,480 Speaker 8: on how to like rescue this man on the water, 746 00:35:29,520 --> 00:35:31,440 Speaker 8: but I'm not trained on like how to take care 747 00:35:31,440 --> 00:35:34,440 Speaker 8: of his body after having just like been like his 748 00:35:34,520 --> 00:35:36,600 Speaker 8: heart stopped and then it came back like I don't 749 00:35:36,640 --> 00:35:40,040 Speaker 8: know what to do. So this man takes over and 750 00:35:40,239 --> 00:35:43,239 Speaker 8: he like helps this man recover. The ambulance shows up 751 00:35:43,280 --> 00:35:45,839 Speaker 8: like a minute later, and I walk away from this 752 00:35:46,120 --> 00:35:48,920 Speaker 8: from this and the man, as the man that had rescued, 753 00:35:48,960 --> 00:35:52,080 Speaker 8: as he's been put in the ambulance, just turns to 754 00:35:52,120 --> 00:35:55,160 Speaker 8: me and says thank you. And as I'm walking away, 755 00:35:55,280 --> 00:35:58,160 Speaker 8: walking back to my beach house, like to go by 756 00:35:58,200 --> 00:36:00,160 Speaker 8: our studying law. At this point, I'm like to oh 757 00:36:00,360 --> 00:36:04,120 Speaker 8: back to my lawest studies, I just remember thinking I 758 00:36:04,200 --> 00:36:06,880 Speaker 8: did it. The place that was once a place of 759 00:36:07,040 --> 00:36:10,080 Speaker 8: death is now a place of victory. And I want 760 00:36:10,120 --> 00:36:14,359 Speaker 8: to teach everyone to turn their place that reminds them 761 00:36:14,400 --> 00:36:16,880 Speaker 8: of death and destruction the place that they're terrified of 762 00:36:17,160 --> 00:36:20,120 Speaker 8: the person the opportunity that they're terrified of. I want 763 00:36:20,160 --> 00:36:24,120 Speaker 8: them to turn that into a place of victory and 764 00:36:24,200 --> 00:36:26,840 Speaker 8: to use like just something as simple as three seconds 765 00:36:26,840 --> 00:36:29,239 Speaker 8: of courage, Like it takes three seconds of courage to 766 00:36:29,239 --> 00:36:32,279 Speaker 8: call somebody, to say yes, to say please, forgive me 767 00:36:32,600 --> 00:36:36,600 Speaker 8: all these like tiny micro moments of courage just three seconds, 768 00:36:36,800 --> 00:36:39,200 Speaker 8: and our whole lives can be radically changed. 769 00:36:45,080 --> 00:36:47,200 Speaker 1: Welcome back to Turning Point tonight, where we are churning 770 00:36:47,200 --> 00:36:49,319 Speaker 1: the course of America's cultural comeback. My name is job 771 00:36:49,320 --> 00:36:51,880 Speaker 1: Bob and we are so glad to have you. As always, 772 00:36:51,920 --> 00:36:55,640 Speaker 1: you can email the show a TPT at tpusa dot com. 773 00:36:55,960 --> 00:36:58,400 Speaker 1: Email us your thoughts, what we should be talking about, 774 00:36:58,480 --> 00:37:01,440 Speaker 1: whether or not you agree with us or wrong. Whatever 775 00:37:01,480 --> 00:37:03,480 Speaker 1: you want to email, send an email to TPT at 776 00:37:03,480 --> 00:37:06,279 Speaker 1: tpusa dot com. It is Tuesday, so it is time 777 00:37:06,320 --> 00:37:10,760 Speaker 1: to take a look at TikTok On TikTok Tuesday, first 778 00:37:10,840 --> 00:37:11,560 Speaker 1: video comes. 779 00:37:11,560 --> 00:37:14,080 Speaker 2: I thought this was actually fascinating to watch and listen. 780 00:37:13,840 --> 00:37:16,080 Speaker 1: To, so well, let's just play it and we will 781 00:37:16,280 --> 00:37:19,960 Speaker 1: discuss what this young man has to say about a state. 782 00:37:19,760 --> 00:37:20,560 Speaker 2: We all know and love. 783 00:37:21,360 --> 00:37:24,480 Speaker 6: I am clearly a flaming homosexual. And I am in 784 00:37:24,520 --> 00:37:27,400 Speaker 6: the deep red state of Texas. When I tell you 785 00:37:27,440 --> 00:37:29,359 Speaker 6: I'm in the country, everywhere you go there's a Trump sign. 786 00:37:30,560 --> 00:37:33,000 Speaker 6: And when I tell you, every person that I've met 787 00:37:33,480 --> 00:37:38,040 Speaker 6: has been the nicest person I have come across in years. 788 00:37:39,600 --> 00:37:45,120 Speaker 6: And there's this narrative that big city liberals spread about 789 00:37:45,120 --> 00:37:50,520 Speaker 6: country people that they're all and rass And it's the 790 00:37:50,560 --> 00:37:53,560 Speaker 6: furthest thing from the truth. If you're somebody who looks 791 00:37:53,600 --> 00:37:57,240 Speaker 6: down on country people or people who live in the country, 792 00:37:57,480 --> 00:37:59,960 Speaker 6: you look at them with moral superiority, like you are 793 00:38:00,160 --> 00:38:03,800 Speaker 6: are smarter than them, or you're more intellectual. I challenge 794 00:38:03,800 --> 00:38:05,719 Speaker 6: you to come out here and spend a few days here. 795 00:38:07,120 --> 00:38:08,840 Speaker 6: These people are not what they're made out to be. 796 00:38:10,640 --> 00:38:13,759 Speaker 1: I guess I never I've heard all of that, you know, 797 00:38:13,880 --> 00:38:17,839 Speaker 1: being in big cities a lot of New York, LA specifically, Yeah, 798 00:38:17,880 --> 00:38:19,040 Speaker 1: you do hear that all the time. 799 00:38:19,040 --> 00:38:20,480 Speaker 2: But I like all those people in the country, No, 800 00:38:20,520 --> 00:38:21,920 Speaker 2: they're all. Everybody's super nice. 801 00:38:21,960 --> 00:38:24,320 Speaker 1: Have you ever gone to any part of the country 802 00:38:24,320 --> 00:38:27,640 Speaker 1: that isn't your big urban population centers. Everywhere is nice. 803 00:38:27,719 --> 00:38:30,680 Speaker 1: It's funny because the big urban population centers are like, 804 00:38:30,760 --> 00:38:33,440 Speaker 1: we need more of this than that, and then everybody's 805 00:38:33,480 --> 00:38:35,759 Speaker 1: mad and angry all the time. And you go to 806 00:38:35,960 --> 00:38:40,560 Speaker 1: you know, like rural Texas or rural Oklahoma, and you know, 807 00:38:41,080 --> 00:38:44,160 Speaker 1: there's less stuff, there's no subways, there's no public transportation. 808 00:38:44,239 --> 00:38:47,759 Speaker 1: But also everybody's happier. So you know, maybe maybe some 809 00:38:47,880 --> 00:38:50,040 Speaker 1: days the libs will learn. Let's get onto the next one. 810 00:38:50,120 --> 00:39:05,799 Speaker 2: Watch this sterilize, because all right, now, that's just sad. 811 00:39:06,080 --> 00:39:07,799 Speaker 1: If you're just listening to this on the podcast, it 812 00:39:07,840 --> 00:39:11,680 Speaker 1: was a video that some girl maids celebrating getting sterilized 813 00:39:11,760 --> 00:39:15,879 Speaker 1: because Trump got elected. You know, you can make fun 814 00:39:15,920 --> 00:39:18,400 Speaker 1: of that, you can be all up in arms about it. 815 00:39:18,400 --> 00:39:19,040 Speaker 2: It's just sad. 816 00:39:19,080 --> 00:39:20,359 Speaker 1: At this point, I'm at a point in my life 817 00:39:20,400 --> 00:39:23,480 Speaker 1: where people doing things out of spite for something that 818 00:39:23,800 --> 00:39:27,120 Speaker 1: really shouldn't impact their life at all. It is just said, 819 00:39:27,239 --> 00:39:28,920 Speaker 1: you're not going to have a I don't know, a 820 00:39:29,120 --> 00:39:32,080 Speaker 1: happy and fulfilling life. Probably I would hope so, but 821 00:39:32,680 --> 00:39:35,000 Speaker 1: that is not going in the correct direction. Let's squeeze 822 00:39:35,000 --> 00:39:37,000 Speaker 1: this last one in right under the time frame. 823 00:39:37,040 --> 00:39:37,360 Speaker 2: Watch this. 824 00:39:40,880 --> 00:39:43,839 Speaker 1: Did you just tell me I don't have a uterus 825 00:39:43,880 --> 00:39:44,520 Speaker 1: come to you? 826 00:39:44,719 --> 00:39:45,440 Speaker 3: It will not common? 827 00:39:47,719 --> 00:39:51,440 Speaker 9: Well, you couldn't tell me I don't I pronounce our 828 00:39:51,600 --> 00:39:53,200 Speaker 9: utero coner mail. 829 00:39:56,080 --> 00:39:59,120 Speaker 1: I'm I'm still waiting, and I think all of us 830 00:39:59,120 --> 00:40:01,800 Speaker 1: are still waiting for the day that won't be funny. 831 00:40:01,880 --> 00:40:04,480 Speaker 1: But the day has not yet come because the whole 832 00:40:04,520 --> 00:40:07,560 Speaker 1: idea I've missed. You can't tell me I'm not it's 833 00:40:07,600 --> 00:40:09,680 Speaker 1: still funny anyway. That's gonna do it for us here 834 00:40:09,680 --> 00:40:11,759 Speaker 1: at turning Points tonight, Charlie is going to take us out. 835 00:40:11,800 --> 00:40:13,640 Speaker 1: Really appreciate you sticking around and tuning in. We will 836 00:40:13,640 --> 00:40:24,000 Speaker 1: see you tomorrow, same time saying place God bless America. 837 00:40:24,760 --> 00:40:29,239 Speaker 7: The left is waking up since the inauguration, even since 838 00:40:29,239 --> 00:40:33,520 Speaker 7: election Day, we said, where is the resistance? Where is it? 839 00:40:33,520 --> 00:40:36,759 Speaker 7: It's not in the streets, it's not protesting, And for 840 00:40:36,880 --> 00:40:41,839 Speaker 7: a period of time that was absolutely true. During the inauguration, 841 00:40:41,920 --> 00:40:43,719 Speaker 7: it was not to be found in the streets. There 842 00:40:43,760 --> 00:40:47,680 Speaker 7: was no Woman's March. The left is starting to wake up. 843 00:40:47,719 --> 00:40:50,720 Speaker 7: They are getting out of their slumber. 844 00:40:51,800 --> 00:40:51,920 Speaker 4: Now. 845 00:40:51,920 --> 00:40:55,000 Speaker 7: I'm not saying this to try to depress you. I'm 846 00:40:55,040 --> 00:40:57,719 Speaker 7: not telling you this to say that everything is coming 847 00:40:57,760 --> 00:41:00,879 Speaker 7: to an end. Exactly the opposite. Actually, I'm telling you that, 848 00:41:01,960 --> 00:41:04,920 Speaker 7: of course, there is half the country that opposes what 849 00:41:04,960 --> 00:41:08,160 Speaker 7: we're doing. Of course, there is a significant portion of 850 00:41:08,160 --> 00:41:12,400 Speaker 7: America that wants to see the federal government keep on 851 00:41:12,440 --> 00:41:17,160 Speaker 7: sending out erroneous checks. The left has been poking around 852 00:41:17,200 --> 00:41:20,440 Speaker 7: and looking for a spark. This last weeknd Elizabeth Warren 853 00:41:20,520 --> 00:41:23,719 Speaker 7: drew two to three thousand people in Texas. I mean, 854 00:41:23,719 --> 00:41:27,840 Speaker 7: that's not a game changer crowd, but it's something. Bernie 855 00:41:27,880 --> 00:41:31,399 Speaker 7: Sanders drew a similar crowd in Wisconsin. Speaking of which 856 00:41:31,640 --> 00:41:34,240 Speaker 7: Donald Trump Junior and I will be an Economa walk 857 00:41:34,360 --> 00:41:38,640 Speaker 7: say that three times fast on Monday, which is a 858 00:41:38,680 --> 00:41:42,640 Speaker 7: suburb of Milwaukee. We'll be having a great town hall. 859 00:41:43,000 --> 00:41:45,000 Speaker 7: These are just some data points that I want you 860 00:41:45,080 --> 00:41:48,960 Speaker 7: to process. It's very tempting to believe that just because 861 00:41:49,000 --> 00:41:52,439 Speaker 7: the Left has been asleep the last couple of months, 862 00:41:52,480 --> 00:41:55,560 Speaker 7: since we knocked them out in November, that they are 863 00:41:55,600 --> 00:42:01,960 Speaker 7: going to stay asleep. Bernie Sanders is probably taking the 864 00:42:01,960 --> 00:42:05,640 Speaker 7: most potent line of criticism, saying that we must fight 865 00:42:05,840 --> 00:42:09,120 Speaker 7: the oligarchy now. Of course, the oligarchy that is actually 866 00:42:09,160 --> 00:42:13,279 Speaker 7: running the country is an unelected deep state bureaucracy sympathetic 867 00:42:13,600 --> 00:42:16,760 Speaker 7: to the aims, wants, and ambitions of growing the size 868 00:42:16,800 --> 00:42:20,520 Speaker 7: and scope of government, not the idea of people like 869 00:42:20,560 --> 00:42:23,520 Speaker 7: Elon Musk, but for someone that doesn't quite understand what 870 00:42:23,680 --> 00:42:29,520 Speaker 7: is happening in DC right now, the bipartisan bureaucratic regime 871 00:42:30,000 --> 00:42:32,439 Speaker 7: that has existed for the last one hundred years, called 872 00:42:32,440 --> 00:42:37,880 Speaker 7: the administrative state, it sounds and feels good. So the 873 00:42:37,960 --> 00:42:42,360 Speaker 7: left is starting to awaken from their slumber. Is it 874 00:42:42,400 --> 00:42:46,200 Speaker 7: going to ramp up even further? Possibly? And that's why 875 00:42:46,239 --> 00:42:49,560 Speaker 7: everyone in this audience, it's time to continue to stay engaged, 876 00:42:50,800 --> 00:42:52,920 Speaker 7: to keep the pressure on the Democrats for why they 877 00:42:52,920 --> 00:42:57,080 Speaker 7: are not supporting President Trump's agenda, To stay involved in 878 00:42:57,120 --> 00:42:59,200 Speaker 7: your local county committees, to stay involved in your local 879 00:42:59,200 --> 00:43:01,320 Speaker 7: Republican Party. Some of you might be saying, but Charlie, 880 00:43:01,320 --> 00:43:04,919 Speaker 7: we just had an election. I'm exhausted. Look, our off 881 00:43:04,960 --> 00:43:07,239 Speaker 7: season in politics is like the hockey offseason. It's like 882 00:43:07,320 --> 00:43:10,960 Speaker 7: ninety days, like the baseball off season. It's like maybe 883 00:43:11,000 --> 00:43:12,759 Speaker 7: one hundred to one hundred and twenty days. And we 884 00:43:12,840 --> 00:43:15,279 Speaker 7: have not even rested. We did not take any time off. 885 00:43:16,640 --> 00:43:20,240 Speaker 7: Neutral gear is the kiss of death in politics. Acting 886 00:43:20,280 --> 00:43:24,000 Speaker 7: as if you are in the happy, agreeable middle. Instead 887 00:43:24,160 --> 00:43:26,600 Speaker 7: if you off if you are not on offense, you 888 00:43:26,680 --> 00:43:31,760 Speaker 7: are on defense. And if you're not first your last, 889 00:43:31,800 --> 00:43:36,000 Speaker 7: to quote a great scholar from Talladega. 890 00:43:36,280 --> 00:43:36,799 Speaker 2: This is. 891 00:43:38,440 --> 00:43:40,600 Speaker 7: The energy of the left is going from one issue 892 00:43:40,600 --> 00:43:42,600 Speaker 7: to the other. They're still trying to figure out the 893 00:43:42,640 --> 00:43:47,480 Speaker 7: best one to completely resist us. On you hat Al 894 00:43:47,560 --> 00:43:50,319 Speaker 7: Green shout out at the speech last week, and the 895 00:43:50,320 --> 00:43:52,680 Speaker 7: Democrats did us a great gift, by the way, they 896 00:43:52,680 --> 00:43:55,520 Speaker 7: did a great gift last week when they were not 897 00:43:55,600 --> 00:43:59,160 Speaker 7: applauding the kid with brain cancer that had real rank 898 00:43:59,280 --> 00:44:03,400 Speaker 7: and file impact. But the base of the Democrat Party 899 00:44:03,400 --> 00:44:05,680 Speaker 7: and the Democrats are trying to build a base first 900 00:44:05,680 --> 00:44:09,440 Speaker 7: strategy as you would expect them. The base of the 901 00:44:09,440 --> 00:44:14,399 Speaker 7: Democrat Party is getting animated and fired up. Yesterday there 902 00:44:14,480 --> 00:44:18,000 Speaker 7: was a phenomenal announcement from President Trump and Mark Rubio. 903 00:44:18,480 --> 00:44:21,760 Speaker 7: Now President Trump and Mark Rubio's strategy is they want 904 00:44:21,800 --> 00:44:27,759 Speaker 7: to first find a singular person to deport and make 905 00:44:27,800 --> 00:44:34,720 Speaker 7: the case around this person that is on a student 906 00:44:34,840 --> 00:44:39,360 Speaker 7: visa supported hamas and should be deported back to their 907 00:44:39,400 --> 00:44:42,040 Speaker 7: country of origin. So you're going to now know the 908 00:44:42,160 --> 00:44:48,040 Speaker 7: name Makmud Khalil. The Left is trying to wake up 909 00:44:48,120 --> 00:44:52,399 Speaker 7: their rank and file troops around this individual. The Trump 910 00:44:52,440 --> 00:44:56,560 Speaker 7: administration has been trying to deport him. A federal judge 911 00:44:56,760 --> 00:44:59,879 Speaker 7: just blocked that. Again, the idea of these judges coming 912 00:45:00,080 --> 00:45:03,360 Speaker 7: in and blocking the action of the executive branch, it 913 00:45:03,480 --> 00:45:08,239 Speaker 7: is an intentional run out the clock strategy. Let me 914 00:45:08,280 --> 00:45:13,160 Speaker 7: be very clear. The Democrats are trying to use district 915 00:45:13,280 --> 00:45:18,480 Speaker 7: court and circuit court judges to block President Trump's administration 916 00:45:18,800 --> 00:45:22,640 Speaker 7: to run out the clock. So major protests are now 917 00:45:22,640 --> 00:45:25,920 Speaker 7: breaking out all over New York City in support of 918 00:45:26,040 --> 00:45:29,200 Speaker 7: Machmud Khalil. They're trying to turn him into a martyr. 919 00:45:29,880 --> 00:45:32,400 Speaker 7: When President Trump ran on a promise to fight against 920 00:45:32,480 --> 00:45:36,920 Speaker 7: the pro terrorist, anti Jewish radicalism that has been flourishing 921 00:45:37,280 --> 00:45:40,200 Speaker 7: on college campuses, one of the ways he vowed to 922 00:45:40,200 --> 00:45:43,520 Speaker 7: do that is by kicking out agitators coming here from 923 00:45:43,560 --> 00:45:49,200 Speaker 7: abroad to study on our campuses. American citizens have strong 924 00:45:49,360 --> 00:45:53,080 Speaker 7: freedom of speech, but there is zero reason that America 925 00:45:53,120 --> 00:45:57,680 Speaker 7: should be welcoming foreigners from abroad whose chief occupation will 926 00:45:57,680 --> 00:46:01,040 Speaker 7: be too agitating on behalf of American enemy who murder 927 00:46:01,320 --> 00:46:04,160 Speaker 7: women and children as their primary strategy. And that is 928 00:46:04,200 --> 00:46:08,000 Speaker 7: exactly what Mahmud Khalil did. Now, he's not some kid, 929 00:46:08,400 --> 00:46:11,680 Speaker 7: he's not eighteen or nineteen years old. He's a thirty 930 00:46:11,800 --> 00:46:14,040 Speaker 7: year old. He's twenty nine or thirty years old, a 931 00:46:14,239 --> 00:46:17,120 Speaker 7: former Columba University graduate student. In the wards The New 932 00:46:17,200 --> 00:46:21,560 Speaker 7: York Times, Khalil was quote the public face of protest 933 00:46:21,600 --> 00:46:24,520 Speaker 7: against Israel. He wasn't just some guy that showed up 934 00:46:24,680 --> 00:46:28,040 Speaker 7: at a rally. He was the public, front facing face 935 00:46:29,560 --> 00:46:34,080 Speaker 7: of what happened at Columba University. What Khalil did went 936 00:46:34,200 --> 00:46:38,600 Speaker 7: far beyond attending marches or writing op eds. Just this 937 00:46:38,760 --> 00:46:42,839 Speaker 7: past January, Khalil was in a group that disrupted a 938 00:46:42,920 --> 00:46:47,920 Speaker 7: Columbia class on Israeli history to attack the country and 939 00:46:48,000 --> 00:46:53,200 Speaker 7: the professor for quote normalizing genocide. Khalil collaborated with students 940 00:46:53,360 --> 00:46:57,520 Speaker 7: who started a tent city on Columbia's campus who illegally 941 00:46:57,560 --> 00:47:00,279 Speaker 7: took over a campus building. Though he didn't party spate 942 00:47:00,320 --> 00:47:04,759 Speaker 7: directly in these events, perhaps to avoid deportation, Khalil distributed 943 00:47:04,800 --> 00:47:10,400 Speaker 7: pamphlets on hamasa's propaganda titled quote Operation al Aksasca Flood. 944 00:47:10,440 --> 00:47:15,520 Speaker 7: Alaska is, of course the Temple Mount in Jerusalem our narrative. 945 00:47:16,640 --> 00:47:21,320 Speaker 7: Alaska Flood is hamasa's code name for the October seventh 946 00:47:21,400 --> 00:47:25,920 Speaker 7: terrorist attacks. All of these actions violate the rules that 947 00:47:26,000 --> 00:47:29,399 Speaker 7: Khalil had to come here as a visitor to come 948 00:47:29,400 --> 00:47:33,680 Speaker 7: here as an immigrant. Khalil claims to have a green card. 949 00:47:33,760 --> 00:47:37,520 Speaker 7: At this point doesn't matter. It should only come down 950 00:47:37,600 --> 00:47:43,399 Speaker 7: to this fundamental question, would you would we have let 951 00:47:43,440 --> 00:47:46,520 Speaker 7: this man into our country in the first place, knowing 952 00:47:46,600 --> 00:47:51,560 Speaker 7: he was a public hamas propagandist who participates in illegal 953 00:47:51,640 --> 00:47:59,800 Speaker 7: protests and