1 00:00:03,680 --> 00:00:05,920 Speaker 1: Welcome back to a Numbers Game with Ryan Grodski. Thank 2 00:00:05,960 --> 00:00:08,160 Speaker 1: you all for being here again. Thank you for everyone 3 00:00:08,160 --> 00:00:11,680 Speaker 1: who is subscribed to my YouTube channel. It means so 4 00:00:11,800 --> 00:00:13,880 Speaker 1: much to me. I've been trying to put work into 5 00:00:13,920 --> 00:00:16,479 Speaker 1: make sure that there's new grafts and interesting data up 6 00:00:16,480 --> 00:00:19,319 Speaker 1: there and uploading all my old interviews. So check out 7 00:00:19,440 --> 00:00:21,639 Speaker 1: on me on a Numbers Game with Ryan Gurdusky on 8 00:00:21,680 --> 00:00:24,360 Speaker 1: YouTube and please like and press the subscribe button so 9 00:00:24,360 --> 00:00:27,320 Speaker 1: you never missed a single episode. Anyway, before I get 10 00:00:27,360 --> 00:00:29,880 Speaker 1: to today's episode, I need to tell my listener something 11 00:00:29,920 --> 00:00:32,320 Speaker 1: because you guys who listen this podcast a lot know 12 00:00:32,560 --> 00:00:34,680 Speaker 1: that I am not a sports guy. I don't watch 13 00:00:34,680 --> 00:00:37,640 Speaker 1: sports very often. So last night I went to a 14 00:00:37,680 --> 00:00:40,560 Speaker 1: bar just to have some food and a drink, and 15 00:00:40,800 --> 00:00:44,120 Speaker 1: you know, I kind of christal out the weekend and 16 00:00:44,440 --> 00:00:47,280 Speaker 1: a channel called ESPN News was on. Now I thought 17 00:00:47,320 --> 00:00:50,280 Speaker 1: that was just ESPN, So I'm looking around. I have 18 00:00:50,320 --> 00:00:53,600 Speaker 1: something called Pop a Shot Men's Championship, which is that 19 00:00:53,720 --> 00:00:56,560 Speaker 1: game at Dave and Busters that you play standing up 20 00:00:56,600 --> 00:00:59,320 Speaker 1: by yourself throwing a basketball into a hoop. And like, 21 00:00:59,560 --> 00:01:02,760 Speaker 1: the crazy easiest thing was was they hit Sponsors people 22 00:01:02,800 --> 00:01:05,520 Speaker 1: are making money off of this, and I guess there 23 00:01:05,600 --> 00:01:08,760 Speaker 1: was a prize. If you're in the championship, it's a 24 00:01:08,800 --> 00:01:12,160 Speaker 1: game at David Buster's. Then I'm finishing dinner. I look 25 00:01:12,200 --> 00:01:17,760 Speaker 1: up again. They have Championship Men's Pillow Fight League. I 26 00:01:18,240 --> 00:01:21,240 Speaker 1: need to make a new career for myself. I made 27 00:01:21,319 --> 00:01:24,680 Speaker 1: all the wrong choices in my life. If you could 28 00:01:24,800 --> 00:01:29,760 Speaker 1: make money doing pillow fighting against other men for three minutes, 29 00:01:29,800 --> 00:01:32,720 Speaker 1: if these people make six figures, I am going to 30 00:01:32,880 --> 00:01:36,080 Speaker 1: scream into the you know, into a bag somewhere because 31 00:01:36,640 --> 00:01:40,000 Speaker 1: this is nuts. I just I was very I was interested. 32 00:01:40,440 --> 00:01:42,560 Speaker 1: Then I was, you know, wanting to give up a 33 00:01:42,640 --> 00:01:44,760 Speaker 1: humanity that people were watching us. And then I was 34 00:01:44,760 --> 00:01:47,880 Speaker 1: making questions of my own career choices in life because 35 00:01:47,880 --> 00:01:50,040 Speaker 1: I can't imagine the fact that they make more than 36 00:01:50,080 --> 00:01:51,760 Speaker 1: I do when I work seven days a week and 37 00:01:51,760 --> 00:01:53,960 Speaker 1: they have pillow fights for nine minutes. I'm not joking. 38 00:01:54,040 --> 00:01:56,000 Speaker 1: I'm It's going to be a dark moment in the 39 00:01:56,040 --> 00:01:58,520 Speaker 1: life of Ryan Rudusky. I will tell you that anyway. Okay, 40 00:01:58,760 --> 00:02:00,960 Speaker 1: so sorry to go into the pill If I think 41 00:02:01,240 --> 00:02:02,960 Speaker 1: I want to sit there and talk a little bit 42 00:02:03,000 --> 00:02:05,520 Speaker 1: more breakdown on the data from last week's elections about 43 00:02:05,520 --> 00:02:08,480 Speaker 1: the Democrats' victory. I wrote an article in the American 44 00:02:08,520 --> 00:02:11,760 Speaker 1: Conservative magazine and I got a little backlash or commentary 45 00:02:11,840 --> 00:02:15,160 Speaker 1: on social media. But I want to really push what 46 00:02:15,240 --> 00:02:18,160 Speaker 1: I think. I still think New Jersey as a swing 47 00:02:18,200 --> 00:02:21,920 Speaker 1: statement making. I know that seems like now, Ryan, we 48 00:02:22,000 --> 00:02:23,800 Speaker 1: said a blowout loss or a blow out win if 49 00:02:23,800 --> 00:02:26,800 Speaker 1: you're a Democrat. Here's why. And I'm going to put 50 00:02:26,800 --> 00:02:30,320 Speaker 1: a big emphasis on voter registration. Now, do you remember 51 00:02:30,400 --> 00:02:33,639 Speaker 1: what happened after twenty sixteen? After the twenty sixteen election. 52 00:02:34,000 --> 00:02:36,520 Speaker 1: I remember all the women wearing pink hats and the 53 00:02:36,600 --> 00:02:38,960 Speaker 1: constant comments that the wall was closing in and Trump 54 00:02:38,960 --> 00:02:40,919 Speaker 1: need to the twenty fifth Amendment and he was losing 55 00:02:40,919 --> 00:02:44,560 Speaker 1: his mind, and he was impeached twice. That time in America, 56 00:02:44,680 --> 00:02:48,280 Speaker 1: there was a huge surge of support for Democrats, especially 57 00:02:48,320 --> 00:02:51,520 Speaker 1: in New Jersey. From twenty sixteen to twenty twenty, New 58 00:02:51,600 --> 00:02:57,320 Speaker 1: Jersey registered four hundred and fifty thousand new Democrats compared 59 00:02:57,360 --> 00:03:01,839 Speaker 1: to only two hundred and thirty three thousand new Republicans. Right, 60 00:03:02,120 --> 00:03:06,680 Speaker 1: so big advantaged Democrat registration. Voter advantage grew from eight 61 00:03:06,840 --> 00:03:10,080 Speaker 1: hundred and sixty two thousand, one million, seventy nine thousand 62 00:03:10,200 --> 00:03:13,240 Speaker 1: in just four years. Trump being president was great for 63 00:03:13,320 --> 00:03:15,920 Speaker 1: Democrats during that time. In the four years that followed 64 00:03:15,960 --> 00:03:20,640 Speaker 1: twenty twenty, Democrats added only ten thousand, seven hundred and 65 00:03:20,680 --> 00:03:24,040 Speaker 1: seventy eight new voters while Republicans added one hundred and 66 00:03:24,120 --> 00:03:27,519 Speaker 1: eighty four thousand. Now we're almost done with the year one, 67 00:03:27,600 --> 00:03:30,680 Speaker 1: the first full year of Trump's presidency in the second term, 68 00:03:31,200 --> 00:03:34,280 Speaker 1: and that energy that you would expect to go back 69 00:03:34,320 --> 00:03:38,320 Speaker 1: towards Democrats that was there the first term hasn't metastasize. 70 00:03:38,840 --> 00:03:43,840 Speaker 1: In this year, Republicans added forty four thousand new voters 71 00:03:43,840 --> 00:03:48,880 Speaker 1: in New Jersey while Democrats lost nine thousand. Democrat voter 72 00:03:48,960 --> 00:03:52,040 Speaker 1: advantage in New Jersey today is smaller than it was 73 00:03:52,360 --> 00:03:55,360 Speaker 1: before Trump took the White House in twenty sixteen. Right, 74 00:03:55,880 --> 00:03:58,320 Speaker 1: So all that momentum that Democrats have built during that 75 00:03:58,360 --> 00:04:01,440 Speaker 1: first Trump term is completely on that huge advantage that 76 00:04:01,480 --> 00:04:03,160 Speaker 1: they were going to have to make the state even 77 00:04:03,240 --> 00:04:06,600 Speaker 1: bluer and blue and bluer. A big part of the 78 00:04:06,640 --> 00:04:11,040 Speaker 1: wind from last Tuesday was because Democrats still have that 79 00:04:11,160 --> 00:04:15,160 Speaker 1: voter advantage. Right, They ginned up their base. Voter participation 80 00:04:15,440 --> 00:04:19,160 Speaker 1: was well over fifty percent among everybody, and that's a 81 00:04:19,200 --> 00:04:22,479 Speaker 1: ten point increase from twenty twenty one, but among Democrats 82 00:04:22,520 --> 00:04:26,680 Speaker 1: it's substantially higher. Right, Republicans did do a decent job 83 00:04:26,680 --> 00:04:29,400 Speaker 1: at turning out their own base, but Democrats not only 84 00:04:29,440 --> 00:04:32,040 Speaker 1: matched them, but they exceeded them. And remember, even though 85 00:04:32,040 --> 00:04:35,400 Speaker 1: it's trending in Republican direction, there's just still eight hundred 86 00:04:35,400 --> 00:04:37,920 Speaker 1: and fifth of voters to contend with. We're not there yet, 87 00:04:38,120 --> 00:04:40,720 Speaker 1: but I think we're getting there. And a lot has 88 00:04:40,760 --> 00:04:44,400 Speaker 1: been made over the conversation of Latinos, right, Latinos that 89 00:04:44,440 --> 00:04:46,919 Speaker 1: showed up for Trump. Trump swung Latinos in his direction 90 00:04:47,000 --> 00:04:49,560 Speaker 1: northern New Jersey, and then they swung back, meaning the 91 00:04:49,560 --> 00:04:52,160 Speaker 1: whole Trump Latino thing is over, and they're going to 92 00:04:52,200 --> 00:04:55,880 Speaker 1: be just basic Democrats again. I broke down the numbers 93 00:04:55,880 --> 00:04:58,520 Speaker 1: on this, and this is why I also disagree. I 94 00:04:58,520 --> 00:05:02,360 Speaker 1: don't think that this is actual accurate portrayal. What's really happening. First, 95 00:05:02,680 --> 00:05:04,960 Speaker 1: when you look at the governor's elections the last three 96 00:05:05,120 --> 00:05:08,440 Speaker 1: twenty seventeen, twenty twenty one, and twenty twenty five, Republicans 97 00:05:08,480 --> 00:05:12,120 Speaker 1: have seen their level of support in Latina majority towns 98 00:05:12,320 --> 00:05:16,560 Speaker 1: increase at a faster rate than Democrats. Right, some Latino towns, 99 00:05:16,560 --> 00:05:19,080 Speaker 1: not all of them, but like Passaic County, New Jersey, 100 00:05:19,080 --> 00:05:22,119 Speaker 1: which is one of the bigger Latina majority towns, more 101 00:05:22,560 --> 00:05:26,400 Speaker 1: new Republicans people for the Republicans than new people voted 102 00:05:26,400 --> 00:05:31,520 Speaker 1: for Democrats. Republicans are increasing in the raw turnout, even 103 00:05:31,520 --> 00:05:34,359 Speaker 1: when you consider that in twenty seventeen and in twenty 104 00:05:34,400 --> 00:05:37,920 Speaker 1: twenty five it was democratic landslides where the Democratic candidate 105 00:05:38,080 --> 00:05:41,240 Speaker 1: basically got the same percentage of the vote in Passaic, 106 00:05:41,320 --> 00:05:44,719 Speaker 1: in North Bergen and East New York, Republicans raw vote 107 00:05:44,800 --> 00:05:47,919 Speaker 1: is increasing at a faster rate than even Democrats. And 108 00:05:47,960 --> 00:05:51,080 Speaker 1: when you compare how Republicans perform in all those Hispanic 109 00:05:51,120 --> 00:05:54,320 Speaker 1: places in twenty seventeen compared to Democrats, when you say 110 00:05:54,360 --> 00:05:57,760 Speaker 1: there's this, they're both won by fourteen points. Look at 111 00:05:57,760 --> 00:06:01,400 Speaker 1: how they did as a whole five to six points 112 00:06:01,520 --> 00:06:05,760 Speaker 1: better in Latino majority towns in northern New Jersey from 113 00:06:05,800 --> 00:06:10,719 Speaker 1: twenty seventeen to twenty twenty five. So the state numbers, 114 00:06:10,760 --> 00:06:13,839 Speaker 1: overall numbers are the same. Latino towns are moving to 115 00:06:13,880 --> 00:06:16,880 Speaker 1: the right. The media is running around sitting there and saying, oh, 116 00:06:16,920 --> 00:06:20,800 Speaker 1: this is all part of a backlash over Trump's immigration policy. Right, 117 00:06:20,800 --> 00:06:24,400 Speaker 1: it's immigration, immigration, immigration. Latinos are angry, they are Abella's 118 00:06:24,480 --> 00:06:27,960 Speaker 1: being deported or whatever they're saying, and that might be 119 00:06:28,000 --> 00:06:30,280 Speaker 1: part of it. Right, I'm willing to concede that there's 120 00:06:30,320 --> 00:06:32,960 Speaker 1: probably a lot of Latinos who are angry over immigration. 121 00:06:33,640 --> 00:06:36,640 Speaker 1: But it's just one little piece of data. Because there's 122 00:06:36,760 --> 00:06:39,080 Speaker 1: I want to give. I want to look at Chittarelli's 123 00:06:39,080 --> 00:06:42,760 Speaker 1: performance not only among Latinos but among working class whites 124 00:06:43,000 --> 00:06:47,159 Speaker 1: from twenty twenty one. Right, there are four towns I 125 00:06:47,160 --> 00:06:50,479 Speaker 1: looked at called South Amboy, South River Borough, Manville Burrow, 126 00:06:50,600 --> 00:06:55,720 Speaker 1: and Kyeport Borough. They are white working class towns. When 127 00:06:55,800 --> 00:06:59,760 Speaker 1: you compare how Chittarelli did come in twenty twenty five 128 00:06:59,839 --> 00:07:03,240 Speaker 1: vers is how he did in twenty twenty one, Chitarelly 129 00:07:03,400 --> 00:07:07,320 Speaker 1: went down anywhere between fifteen points in the case of 130 00:07:07,400 --> 00:07:11,920 Speaker 1: Kyport Borough to thirty points in the case of Manville Borough. Right, 131 00:07:12,200 --> 00:07:17,520 Speaker 1: Chitarelly lost so much support among white working class voters. Now, 132 00:07:17,600 --> 00:07:22,520 Speaker 1: look at the Latino areas Perth and Boy, Western New York, Passaic, Gudenberg, 133 00:07:22,720 --> 00:07:27,400 Speaker 1: North Bergen, prostect Park. They were mixed. Right in places 134 00:07:27,400 --> 00:07:30,640 Speaker 1: like Perth and Boy, Chitarelli lost about seven point support 135 00:07:30,720 --> 00:07:33,320 Speaker 1: in prospect Park. He lost about fourteen point SUP support 136 00:07:33,600 --> 00:07:36,960 Speaker 1: in Passaic, in Guttenberg, in north Bergen he gained from 137 00:07:37,000 --> 00:07:39,520 Speaker 1: where he was in twenty seventeen. He didn't lose. So 138 00:07:40,400 --> 00:07:43,320 Speaker 1: it makes youres that they're gonna say, why are why 139 00:07:43,360 --> 00:07:46,600 Speaker 1: are Hispanics and white working class people, Why are they 140 00:07:46,600 --> 00:07:50,920 Speaker 1: coming at a crossroads right where they're voting more similarly, 141 00:07:51,400 --> 00:07:53,840 Speaker 1: even though obviously whites without a college or grey voting 142 00:07:53,960 --> 00:07:57,280 Speaker 1: much more to the right. But when one is swinging 143 00:07:57,320 --> 00:07:59,760 Speaker 1: the other one swinging as well, right in the same direction, 144 00:08:00,200 --> 00:08:03,760 Speaker 1: what is happening? I don't believe the primary motivating fact 145 00:08:03,840 --> 00:08:06,160 Speaker 1: was immigration. I think it was the economy. And I 146 00:08:06,160 --> 00:08:07,680 Speaker 1: have a little bit more evidence to say. They're gonna 147 00:08:07,680 --> 00:08:11,960 Speaker 1: say this the Polster Unidose, which the Latino Polster. The 148 00:08:12,000 --> 00:08:14,720 Speaker 1: media loves to cite them, loves talking with them. They're 149 00:08:14,760 --> 00:08:17,680 Speaker 1: not a very accurate polster and they're never held accountable 150 00:08:17,720 --> 00:08:19,640 Speaker 1: for that, but I will I'm going to cite them 151 00:08:19,680 --> 00:08:22,440 Speaker 1: because it's all we have, but take it with a 152 00:08:22,480 --> 00:08:25,440 Speaker 1: grain of salt. But they're a democratic leaning polster. And 153 00:08:25,440 --> 00:08:27,800 Speaker 1: they still said when they asked Latinos what is the 154 00:08:27,840 --> 00:08:32,120 Speaker 1: top five issues going into the selection? They said affordability 155 00:08:32,120 --> 00:08:36,560 Speaker 1: and the cost of living, healthcare, jobs in the economy, housing, 156 00:08:36,720 --> 00:08:40,319 Speaker 1: and then gun violence. It was an immigration. Immigration did 157 00:08:40,360 --> 00:08:45,240 Speaker 1: not make the top five among any of these Latino 158 00:08:45,320 --> 00:08:47,960 Speaker 1: voters being polled in all these being important swing states. 159 00:08:48,559 --> 00:08:51,480 Speaker 1: Right now is a weak economy, right working class people 160 00:08:51,520 --> 00:08:53,800 Speaker 1: are feeling it. They're maxing out their credit cards. It 161 00:08:53,920 --> 00:08:57,440 Speaker 1: is tough. Prices did not go down after Biden's inflation. 162 00:08:57,559 --> 00:09:01,520 Speaker 1: Inflation went down, but prices did it. People are still 163 00:09:01,840 --> 00:09:05,120 Speaker 1: feeling feeling it, you know, four years later, three years later, 164 00:09:05,160 --> 00:09:08,400 Speaker 1: since COVID. That's just a reality. That's just a function 165 00:09:08,520 --> 00:09:11,480 Speaker 1: of how it's how it's going. And they wanted Trump 166 00:09:11,520 --> 00:09:13,160 Speaker 1: to have like a magic wand or a band ait 167 00:09:13,240 --> 00:09:16,559 Speaker 1: and it couldn't. Right. So now they're angry the Republicans. 168 00:09:16,559 --> 00:09:19,200 Speaker 1: They're angered the trumpministration. They'll be angry at the next Democrats, 169 00:09:19,200 --> 00:09:23,000 Speaker 1: the next Republican whatever. If this continues, something has to happen. 170 00:09:23,480 --> 00:09:27,680 Speaker 1: But that anxiety among working class people, both Latino and white, 171 00:09:28,000 --> 00:09:31,480 Speaker 1: and the overall increase in activist Democrats. People go to 172 00:09:31,520 --> 00:09:33,760 Speaker 1: the No King's rally, who show up with those kinds 173 00:09:33,800 --> 00:09:36,080 Speaker 1: of things to go vote at a higher rate than 174 00:09:36,120 --> 00:09:39,720 Speaker 1: the average Republican is what punished Republicans because they were 175 00:09:39,760 --> 00:09:43,600 Speaker 1: also punished Trump. The fundamentals of New Jersey as I 176 00:09:43,640 --> 00:09:45,760 Speaker 1: see it, as I believe it says it's going to 177 00:09:45,840 --> 00:09:48,200 Speaker 1: still be a swing state. Though I really do believe 178 00:09:48,200 --> 00:09:51,839 Speaker 1: that New voters are picking the GOP over the Democrats. 179 00:09:51,840 --> 00:09:56,280 Speaker 1: And it's completely organic. There's no huge, you know, Republican 180 00:09:56,360 --> 00:09:59,400 Speaker 1: Party actively registering people. This has been a trend on 181 00:09:59,480 --> 00:10:02,520 Speaker 1: their own. They know the Democratic Party isn't working for 182 00:10:02,559 --> 00:10:05,120 Speaker 1: working class people, even if they were angry in the 183 00:10:05,160 --> 00:10:09,400 Speaker 1: moment they voted Republican. Growth even in Latino neighborhoods is 184 00:10:09,600 --> 00:10:12,400 Speaker 1: up from twenty twenty one, and it's way up from 185 00:10:12,440 --> 00:10:16,480 Speaker 1: twenty seventeen. We will see if Chimmean's change in twenty 186 00:10:16,520 --> 00:10:19,040 Speaker 1: twenty six, but as of now, the trend lines in 187 00:10:19,160 --> 00:10:23,840 Speaker 1: New Jersey to me seem very very straightforward. Now there's 188 00:10:23,880 --> 00:10:27,760 Speaker 1: a lot of conversations happening online about a generational divide, 189 00:10:27,800 --> 00:10:32,679 Speaker 1: a generational splinter among Republicans. I know it's that was 190 00:10:32,679 --> 00:10:35,360 Speaker 1: a harsh transition. Enough about New Jersey. I believe it's 191 00:10:35,400 --> 00:10:37,480 Speaker 1: the swings day in the future. Let me bring up 192 00:10:37,480 --> 00:10:38,719 Speaker 1: what I want to talk about with the rest of 193 00:10:38,720 --> 00:10:42,680 Speaker 1: this episode, which is this generational divide Online, there's a 194 00:10:42,679 --> 00:10:48,720 Speaker 1: lot of conversation that younger gen Z Republicans are they're 195 00:10:48,840 --> 00:10:52,120 Speaker 1: you know, they're tougher than their parents on certain positions, 196 00:10:52,160 --> 00:10:55,559 Speaker 1: and that they are especially more nationalists right. They are 197 00:10:56,080 --> 00:10:59,760 Speaker 1: less supportive unrestricted free trade, they are less supportive of immigration, 198 00:11:00,120 --> 00:11:03,520 Speaker 1: they want more immigration restrictions. They are just more like 199 00:11:03,600 --> 00:11:06,000 Speaker 1: Donald Trump and the party that he built. My guest, 200 00:11:06,040 --> 00:11:09,079 Speaker 1: some today's episode has been making a lot of attention 201 00:11:09,440 --> 00:11:12,320 Speaker 1: when it comes to, you know, breaking off from I 202 00:11:12,320 --> 00:11:16,160 Speaker 1: guess the political establishment of yesterdayear or the political thought 203 00:11:16,400 --> 00:11:19,600 Speaker 1: of his parents' generation. And that is Nalan Haley, the 204 00:11:19,640 --> 00:11:23,160 Speaker 1: son of former South Carolina Governor Nicki Haley. He is 205 00:11:23,520 --> 00:11:27,120 Speaker 1: so interesting. He has got a while take on many 206 00:11:27,120 --> 00:11:32,440 Speaker 1: many things, and he will be up. Nalan Haley became 207 00:11:32,440 --> 00:11:34,640 Speaker 1: a public figure during his mom, Nicki Haley's run for 208 00:11:34,640 --> 00:11:36,240 Speaker 1: the White House, and he's been stepping out on his 209 00:11:36,280 --> 00:11:39,080 Speaker 1: own and getting a lot of attention because he's quote 210 00:11:39,120 --> 00:11:42,760 Speaker 1: unquote a radical. Naleen, thank you for being on this podcast. 211 00:11:42,800 --> 00:11:43,640 Speaker 1: I appreciate it. 212 00:11:43,880 --> 00:11:44,560 Speaker 2: Thanks for having me. 213 00:11:44,640 --> 00:11:44,920 Speaker 3: Ryan. 214 00:11:45,280 --> 00:11:46,760 Speaker 1: So Naylan, I want to ask you first of a 215 00:11:46,800 --> 00:11:49,280 Speaker 1: couple basic questions, would do you remember a time in 216 00:11:49,320 --> 00:11:51,600 Speaker 1: your life before, like your mom was a politician. 217 00:11:52,960 --> 00:11:54,320 Speaker 2: Yeah, I remember it pretty well. 218 00:11:54,520 --> 00:11:57,920 Speaker 3: I think things started to change was when she won 219 00:11:58,280 --> 00:11:59,560 Speaker 3: and all was in third grade. 220 00:12:00,160 --> 00:12:03,640 Speaker 2: But before that it was just a very simple life. 221 00:12:03,720 --> 00:12:06,120 Speaker 3: My mom was an account at my dad was in 222 00:12:06,160 --> 00:12:11,079 Speaker 3: the military, and we lived the very typical suburban family life. 223 00:12:11,200 --> 00:12:14,640 Speaker 3: And then once she won, my life changed and was 224 00:12:14,840 --> 00:12:17,240 Speaker 3: never the same in a good way or a bad way. 225 00:12:18,040 --> 00:12:20,000 Speaker 3: And I mean, in some ways it's both. I like 226 00:12:20,080 --> 00:12:23,360 Speaker 3: to think of it as more optimistic than negative. I mean, 227 00:12:23,400 --> 00:12:28,280 Speaker 3: there's definitely some elements, such as my life being so public. 228 00:12:28,320 --> 00:12:31,520 Speaker 3: I would prefer it to be more private, But in 229 00:12:31,559 --> 00:12:33,520 Speaker 3: a lot of ways, I got to experience a lot 230 00:12:33,520 --> 00:12:35,600 Speaker 3: of cool things, meet a lot of cool people, see 231 00:12:35,640 --> 00:12:39,240 Speaker 3: a lot of the state, So I value a lot 232 00:12:39,280 --> 00:12:39,959 Speaker 3: of that as well. 233 00:12:40,280 --> 00:12:42,319 Speaker 1: I think people like to imagine for those who don't 234 00:12:42,360 --> 00:12:44,120 Speaker 1: have like a politician parent, like to imagine like they 235 00:12:44,120 --> 00:12:45,600 Speaker 1: come home at the dinner table and or like you'll 236 00:12:45,600 --> 00:12:48,400 Speaker 1: never believe what the budget was like, like you know. 237 00:12:48,920 --> 00:12:51,839 Speaker 3: Not at all, not at all at all, and it's 238 00:12:52,080 --> 00:12:55,480 Speaker 3: it's like we don't talk about politics at all. Like 239 00:12:55,559 --> 00:12:58,480 Speaker 3: it's it's very the reason why people think that is 240 00:12:58,480 --> 00:13:02,480 Speaker 3: because they only know Nicky Hayes. They don't know my mom, 241 00:13:02,679 --> 00:13:05,800 Speaker 3: and those two things, they're the same person. But to me, 242 00:13:06,040 --> 00:13:08,800 Speaker 3: it's mom. To everyone else's Sneaky Haley, So they can't 243 00:13:08,880 --> 00:13:12,280 Speaker 3: rationalize her being just a mom. And so whether it's 244 00:13:12,320 --> 00:13:15,560 Speaker 3: with my family or even my friends, like my friends 245 00:13:15,600 --> 00:13:18,480 Speaker 3: know nothing about politics, and that's not on accident, because 246 00:13:18,679 --> 00:13:19,640 Speaker 3: that's why they're my friends. 247 00:13:19,679 --> 00:13:21,760 Speaker 1: I don't want friends that know everything about politics. And 248 00:13:21,800 --> 00:13:24,120 Speaker 1: my friends aren't even know my life. No I know, 249 00:13:24,320 --> 00:13:25,920 Speaker 1: I mean I work in it. I don't know what 250 00:13:26,000 --> 00:13:28,440 Speaker 1: I do. What when did you know like your mom 251 00:13:28,480 --> 00:13:29,959 Speaker 1: was famed? The last question your mom just wanted to know, 252 00:13:30,040 --> 00:13:32,120 Speaker 1: like when did you realize like your mom was famous? 253 00:13:32,120 --> 00:13:34,079 Speaker 1: So I asked people this question a lot. 254 00:13:34,240 --> 00:13:38,080 Speaker 3: Yeah, I think when she was running it was the 255 00:13:38,120 --> 00:13:41,640 Speaker 3: primary and started to pick up where she was doing. Well, 256 00:13:41,679 --> 00:13:43,920 Speaker 3: you started to see your signs everywhere, people started to 257 00:13:43,920 --> 00:13:46,880 Speaker 3: stop at the grocery store. I think that was when 258 00:13:47,120 --> 00:13:51,600 Speaker 3: I noticed that something was different. Yeah, was about probably 259 00:13:51,640 --> 00:13:52,880 Speaker 3: second third grade. 260 00:13:53,040 --> 00:13:55,560 Speaker 1: Well, I talked to my buddy Megan McCain ahead of 261 00:13:55,559 --> 00:13:58,200 Speaker 1: this interview because obviously her dad John McCain, and I 262 00:13:58,280 --> 00:14:00,360 Speaker 1: was just like what was it like, you know, talking 263 00:14:00,360 --> 00:14:02,120 Speaker 1: to her about her and she's like, my dad always 264 00:14:02,160 --> 00:14:04,560 Speaker 1: said to me, be yourself, Like, don't worry, I'm not 265 00:14:04,600 --> 00:14:07,160 Speaker 1: gonna make you believe what I believe. I imagine that your 266 00:14:07,160 --> 00:14:09,040 Speaker 1: mom was a lot of the same things. 267 00:14:09,520 --> 00:14:12,439 Speaker 3: Yeah, I mean again, we never really talked about politics, 268 00:14:12,480 --> 00:14:15,720 Speaker 3: so and they always encourage me to think for myself. 269 00:14:15,800 --> 00:14:18,680 Speaker 3: And that's the thing is like a lot of people 270 00:14:18,760 --> 00:14:21,840 Speaker 3: can't seem to understand. It's like, well, I can't believe 271 00:14:21,880 --> 00:14:23,600 Speaker 3: you have different views than your mom. And it's like, 272 00:14:23,960 --> 00:14:25,640 Speaker 3: do you have the same views as your mom? And 273 00:14:25,640 --> 00:14:27,480 Speaker 3: they'll say no. So I just tell them, why would 274 00:14:27,480 --> 00:14:30,440 Speaker 3: I be any different. I'm from a different generation. We 275 00:14:30,520 --> 00:14:33,280 Speaker 3: have different problems, so therefore I have different solutions. 276 00:14:33,720 --> 00:14:36,440 Speaker 1: Well, I want to talk to your generation is you. 277 00:14:36,480 --> 00:14:38,680 Speaker 1: People pay a lot of attention to you, obviously because 278 00:14:38,680 --> 00:14:41,040 Speaker 1: of familiar reasons, but you have interesting takes, which is 279 00:14:41,080 --> 00:14:44,240 Speaker 1: why they stay paying attention to you. You know, I 280 00:14:44,280 --> 00:14:46,560 Speaker 1: think you talk a lot about your own life experiences, 281 00:14:46,600 --> 00:14:49,160 Speaker 1: that of friends of yours, struggling to find a job, 282 00:14:49,200 --> 00:14:50,840 Speaker 1: struggling to be able to get a house one day, 283 00:14:51,080 --> 00:14:55,480 Speaker 1: even for yourself. What about today? For gen z is 284 00:14:55,640 --> 00:14:58,880 Speaker 1: especially hard. That has changed a lot of their politics. 285 00:15:00,560 --> 00:15:04,880 Speaker 3: I definitely think it's a mixture of economic and cultural changes. 286 00:15:05,720 --> 00:15:08,320 Speaker 3: I think we've seen it in just such a short 287 00:15:08,360 --> 00:15:11,840 Speaker 3: period of time. The economy mainly is causing a lot 288 00:15:11,880 --> 00:15:14,640 Speaker 3: of frustration when people don't work, when people aren't getting paid, 289 00:15:14,640 --> 00:15:17,800 Speaker 3: they get frustrated, and they're right to be frustrated because 290 00:15:17,800 --> 00:15:20,040 Speaker 3: they're not doing anything wrong. It'd be one thing if 291 00:15:20,040 --> 00:15:23,080 Speaker 3: they were lazy, not getting their education, not willing to 292 00:15:23,120 --> 00:15:26,120 Speaker 3: put in the work. But gen Z in some ways 293 00:15:26,200 --> 00:15:30,520 Speaker 3: has a problem with work ethic. But mostly when they 294 00:15:30,560 --> 00:15:32,840 Speaker 3: want to work, they will, and they're good at it. 295 00:15:32,920 --> 00:15:36,800 Speaker 3: So when they have the opportunity to try and make 296 00:15:36,880 --> 00:15:38,880 Speaker 3: something of themselves and I'm not even getting a chance 297 00:15:38,920 --> 00:15:42,640 Speaker 3: to start, that's when they get angry, and they've every. 298 00:15:42,440 --> 00:15:42,840 Speaker 2: Right to be. 299 00:15:43,720 --> 00:15:47,080 Speaker 1: Does do you feel like your generation, Well, you and 300 00:15:47,120 --> 00:15:50,000 Speaker 1: your generation I guess is not a spokes but someone 301 00:15:50,120 --> 00:15:52,520 Speaker 1: dealing with it that they have like sort of animus 302 00:15:52,560 --> 00:15:55,440 Speaker 1: towards Baby boomers, like you feel like they screwed. 303 00:15:55,120 --> 00:15:58,480 Speaker 3: Yeah, I absolutely do. I absolutely do. Because they inherited everything. 304 00:15:58,760 --> 00:16:00,960 Speaker 3: They inherited something that was great and they turned it 305 00:16:01,000 --> 00:16:02,240 Speaker 3: into something that was terrible. 306 00:16:02,280 --> 00:16:05,480 Speaker 2: For us. They were. I mean, you think about what 307 00:16:05,560 --> 00:16:05,960 Speaker 2: a lot. 308 00:16:05,840 --> 00:16:08,320 Speaker 3: Of boomers had, a lot of them were able to 309 00:16:08,960 --> 00:16:11,520 Speaker 3: afford a home, afford two cars, and their kids to 310 00:16:11,560 --> 00:16:13,800 Speaker 3: school off of just one salary. Back then, the mom 311 00:16:13,800 --> 00:16:17,120 Speaker 3: didn't even work. They're able to have all those things, 312 00:16:17,520 --> 00:16:20,080 Speaker 3: and it was the golden age for them. Everything was affordable. 313 00:16:20,120 --> 00:16:21,440 Speaker 3: A lot of people a job. I'm not saying what's 314 00:16:21,480 --> 00:16:24,000 Speaker 3: like that for everyone, but by and large, it was 315 00:16:24,240 --> 00:16:27,800 Speaker 3: very simple, easy and it worked. And now we have 316 00:16:27,920 --> 00:16:31,120 Speaker 3: things where people don't have jobs, crime is out of control, 317 00:16:31,200 --> 00:16:33,600 Speaker 3: things don't work, and so people were frustrated that something 318 00:16:34,000 --> 00:16:36,960 Speaker 3: that was inherited to that generation is now being turned 319 00:16:37,040 --> 00:16:39,320 Speaker 3: upside down because of those boomer policies. 320 00:16:39,920 --> 00:16:42,560 Speaker 1: What would you say if somebody pushed back and said, well, 321 00:16:42,640 --> 00:16:44,840 Speaker 1: boomers had to a lot of them, depending how old 322 00:16:44,880 --> 00:16:47,960 Speaker 1: they are, they had to serve in Vietnam or be drafted. 323 00:16:48,000 --> 00:16:52,680 Speaker 1: That they had that they had less opportunity, less less 324 00:16:53,000 --> 00:16:56,840 Speaker 1: you know, technology and availability towards luxury items than you do. 325 00:16:56,920 --> 00:16:58,960 Speaker 1: That they're cheaper. Now, what would you say something like that. 326 00:16:59,800 --> 00:17:01,680 Speaker 2: I mean, I would say that it's good that they 327 00:17:02,080 --> 00:17:02,880 Speaker 2: served in wars. 328 00:17:02,920 --> 00:17:05,680 Speaker 3: I think that's great, but I mean it doesn't change 329 00:17:05,720 --> 00:17:07,720 Speaker 3: the fact that they have bad policies, and there are 330 00:17:07,720 --> 00:17:10,600 Speaker 3: a lot of the reasons why we have economic struggles 331 00:17:10,640 --> 00:17:12,720 Speaker 3: while we have too much immigration. A lot of the 332 00:17:12,760 --> 00:17:15,480 Speaker 3: problems that we see are boomers just not doing what 333 00:17:15,480 --> 00:17:17,960 Speaker 3: they're supposed to do. They have what they had, they 334 00:17:18,040 --> 00:17:21,480 Speaker 3: changed it, and our generation's feeling it now. 335 00:17:22,720 --> 00:17:24,760 Speaker 1: I wanted about immigration because you talk about that a lot. 336 00:17:24,800 --> 00:17:26,560 Speaker 1: It's something I've talked about a lot. It was definitely 337 00:17:26,600 --> 00:17:30,359 Speaker 1: a red pilling issue for me. What do you say 338 00:17:30,359 --> 00:17:32,200 Speaker 1: to people who sit there insane? I've seen people say 339 00:17:32,200 --> 00:17:33,760 Speaker 1: this to you on Twitter, so's why I'm asking. But 340 00:17:33,800 --> 00:17:35,720 Speaker 1: people who sat there and said to you, nail In, 341 00:17:35,880 --> 00:17:39,160 Speaker 1: your grandparents are Indian immigrants, How could you be against immigration? 342 00:17:39,320 --> 00:17:40,040 Speaker 2: Yeah, that's stupid. 343 00:17:40,119 --> 00:17:44,000 Speaker 3: It's stupid because one, it's not nineteen sixty nine. Everyone 344 00:17:44,000 --> 00:17:46,360 Speaker 3: can look around and see that it's a very different country, 345 00:17:46,600 --> 00:17:49,120 Speaker 3: that we have a very different set of circumstances. It 346 00:17:49,160 --> 00:17:52,880 Speaker 3: is rational to then adapt and change those policies. It's 347 00:17:52,880 --> 00:17:59,240 Speaker 3: also stupid because I'm not loyal to, you know, my grandparents' 348 00:17:59,320 --> 00:18:03,520 Speaker 3: way of thinking or what they did, just like you aren't. 349 00:18:03,600 --> 00:18:04,240 Speaker 2: Just like they aren't. 350 00:18:04,240 --> 00:18:05,880 Speaker 3: If a lot of us believe in the same things 351 00:18:05,880 --> 00:18:09,040 Speaker 3: our grandparents did, then we would have a different country. 352 00:18:09,119 --> 00:18:12,520 Speaker 3: But no one believes in what their grandparents do or 353 00:18:12,600 --> 00:18:16,320 Speaker 3: think very few do, So why would I then accept 354 00:18:16,359 --> 00:18:19,200 Speaker 3: that when they had a different upbringing, a different way 355 00:18:19,200 --> 00:18:20,480 Speaker 3: of life than I do. 356 00:18:21,080 --> 00:18:21,920 Speaker 2: It doesn't make sense. 357 00:18:22,080 --> 00:18:23,800 Speaker 1: Yeah, So what you're saying is you can respect to 358 00:18:23,840 --> 00:18:26,359 Speaker 1: your grandparents for our people, but we can't have a 359 00:18:26,720 --> 00:18:31,040 Speaker 1: first century econ of the twentieth century immigration system, because 360 00:18:31,080 --> 00:18:33,320 Speaker 1: that's what I immigration was created. It was created over 361 00:18:33,359 --> 00:18:36,520 Speaker 1: a half a century ago. It's not for a high tech, 362 00:18:36,640 --> 00:18:38,840 Speaker 1: high skill population, right. 363 00:18:38,760 --> 00:18:41,960 Speaker 3: It's not sustainable and it's irresponsible to have it right now, 364 00:18:42,000 --> 00:18:44,600 Speaker 3: even the legal immigration. And it's because we have an 365 00:18:44,600 --> 00:18:47,160 Speaker 3: economy that's fragile. We have AI taking a lot of jobs, 366 00:18:47,200 --> 00:18:49,240 Speaker 3: and we have companies not hiring. So why would we 367 00:18:49,320 --> 00:18:51,840 Speaker 3: import more workers when we already have that struggle? 368 00:18:52,280 --> 00:18:56,159 Speaker 1: And I think that what people people are realizing it now, 369 00:18:56,280 --> 00:18:58,399 Speaker 1: I feel like more than ever, but they didn't before 370 00:18:58,440 --> 00:19:00,879 Speaker 1: the New York City election, are like, oh, some people 371 00:19:01,040 --> 00:19:04,120 Speaker 1: we import really do support socialism when we are importing 372 00:19:04,119 --> 00:19:06,520 Speaker 1: the third world? And I mean I would go back 373 00:19:06,560 --> 00:19:10,920 Speaker 1: to twenty sixteenth primary where Ted Kruz literally said good immigration, 374 00:19:11,080 --> 00:19:13,320 Speaker 1: legal immigration good, illegal immigration bad. 375 00:19:13,400 --> 00:19:15,920 Speaker 2: He was the me right. 376 00:19:16,000 --> 00:19:18,919 Speaker 3: And it's more so like they're not they're just oh, 377 00:19:19,000 --> 00:19:22,520 Speaker 3: they're supporting socialism and leftist policies. They're not even identifying 378 00:19:22,560 --> 00:19:24,520 Speaker 3: as American a lot of them. And I think we 379 00:19:24,600 --> 00:19:27,919 Speaker 3: started to see around the Obama years was when we 380 00:19:28,040 --> 00:19:30,480 Speaker 3: started to see immigrants come in and they said, you 381 00:19:30,480 --> 00:19:32,840 Speaker 3: don't need to change anything. You're good the way you are. 382 00:19:32,840 --> 00:19:34,880 Speaker 3: You don't have to assimilate, you don't have to do 383 00:19:34,920 --> 00:19:38,000 Speaker 3: this or that. But what it does is it loses 384 00:19:38,040 --> 00:19:40,159 Speaker 3: our very identity, is what we are as America. If 385 00:19:40,160 --> 00:19:42,960 Speaker 3: the people coming in don't see themselves as American, we're 386 00:19:43,080 --> 00:19:47,119 Speaker 3: essentially just a globalist entity, not even a country, not 387 00:19:47,200 --> 00:19:51,200 Speaker 3: with a specific identity, a culture or anything, a language, religion. 388 00:19:51,480 --> 00:19:54,159 Speaker 3: We're just a globalist entity. And that's not what I 389 00:19:54,200 --> 00:19:56,760 Speaker 3: want to be, and I never wanted to become that. Yes, 390 00:19:56,840 --> 00:19:59,720 Speaker 3: and that's why I want to stop immigration, both illegal 391 00:19:59,720 --> 00:20:01,480 Speaker 3: and irresponsible. 392 00:20:02,240 --> 00:20:04,919 Speaker 1: Yeah, talk to me about the isthing. I kind of 393 00:20:04,960 --> 00:20:07,919 Speaker 1: don't even understand. I'm like fifteen years older than you. Like, 394 00:20:08,280 --> 00:20:12,600 Speaker 1: what is it with women in gen Z? Why are 395 00:20:12,640 --> 00:20:16,000 Speaker 1: they so far left? 396 00:20:15,280 --> 00:20:16,720 Speaker 2: I think. 397 00:20:18,119 --> 00:20:20,480 Speaker 3: I would say, I would be hesitant to say that 398 00:20:20,520 --> 00:20:24,159 Speaker 3: they're like that. I know a majority are, but I 399 00:20:24,160 --> 00:20:27,440 Speaker 3: wouldn't say it's as much as people think. I think 400 00:20:27,480 --> 00:20:29,720 Speaker 3: a lot of it has to do with the Internet. 401 00:20:30,040 --> 00:20:32,520 Speaker 3: The Internet shapes the way a lot of gen z thinks. 402 00:20:33,160 --> 00:20:36,040 Speaker 3: And if you have a for you page, you're on 403 00:20:36,119 --> 00:20:39,440 Speaker 3: TikTok or Instagram, all you have to do is put 404 00:20:39,440 --> 00:20:41,840 Speaker 3: your gender in there. If you put no other information 405 00:20:41,920 --> 00:20:44,879 Speaker 3: and just your gender, the algorithm will then feed you 406 00:20:45,119 --> 00:20:48,560 Speaker 3: complete opposite stuff. And this is what a lot of 407 00:20:48,600 --> 00:20:51,359 Speaker 3: these companies do, what a lot of foreign governments do, 408 00:20:51,480 --> 00:20:54,520 Speaker 3: is they want to create a divide And so I 409 00:20:54,560 --> 00:20:57,000 Speaker 3: have been saying for years the future of divide and 410 00:20:57,040 --> 00:20:59,919 Speaker 3: division in America likely isn't going to be race, or 411 00:21:00,080 --> 00:21:02,520 Speaker 3: income or a lot of stuff. It's going to be gender, 412 00:21:02,600 --> 00:21:06,440 Speaker 3: which is specifically a problem because we need each other. 413 00:21:06,560 --> 00:21:09,720 Speaker 2: We need women and women need men. It's just the truth. 414 00:21:10,359 --> 00:21:12,760 Speaker 1: Yeah, as someone who's a millennial, I feel like one 415 00:21:12,800 --> 00:21:14,760 Speaker 1: of the biggest lies that was told to women in 416 00:21:14,840 --> 00:21:16,639 Speaker 1: my generation, and I have a lot of friends in 417 00:21:16,680 --> 00:21:19,040 Speaker 1: their late thirties right now, was like, you have all 418 00:21:19,080 --> 00:21:21,359 Speaker 1: the time in the world to have kids, all the 419 00:21:21,400 --> 00:21:22,679 Speaker 1: time in the world to start a family, and I 420 00:21:22,680 --> 00:21:25,600 Speaker 1: know women in my life thirties who are like scrambling 421 00:21:25,640 --> 00:21:27,320 Speaker 1: to find a husband. They are like, this is my 422 00:21:27,400 --> 00:21:29,879 Speaker 1: last chance. I need to get a baby immediately, and 423 00:21:30,000 --> 00:21:33,000 Speaker 1: it's it's hard to sit there and see these people 424 00:21:33,080 --> 00:21:34,880 Speaker 1: like this. So I really hope that women in your 425 00:21:34,920 --> 00:21:36,920 Speaker 1: generation don't kind of fall for the same thing. I mean, 426 00:21:36,920 --> 00:21:40,280 Speaker 1: there is biologies real, and time is real, and there's 427 00:21:40,280 --> 00:21:42,320 Speaker 1: no other way about it. What about young men in 428 00:21:42,359 --> 00:21:45,960 Speaker 1: your generation, are they because there's like there seems to 429 00:21:46,000 --> 00:21:48,480 Speaker 1: be you know, the Harry Simpsons of the world, and 430 00:21:48,480 --> 00:21:50,200 Speaker 1: then there's not real. 431 00:21:50,240 --> 00:21:52,359 Speaker 3: By the way, he's not a real person. Views aren't 432 00:21:52,359 --> 00:21:54,440 Speaker 3: real completely paid, not really. 433 00:21:54,480 --> 00:21:56,600 Speaker 1: Yeah, because he doesn't have consulting fees and stuff like that. 434 00:21:56,680 --> 00:21:59,720 Speaker 3: Right yeah, yeah, I mean it's all, well, what was 435 00:21:59,800 --> 00:22:00,800 Speaker 3: your political evolution? 436 00:22:00,880 --> 00:22:02,879 Speaker 1: Was there a book or experience do you have that 437 00:22:02,960 --> 00:22:05,520 Speaker 1: maybe you like sit there and say, like, I believe 438 00:22:05,520 --> 00:22:06,960 Speaker 1: in these things this way. 439 00:22:07,840 --> 00:22:10,200 Speaker 3: I would say, I feel like I was very typical 440 00:22:10,720 --> 00:22:14,080 Speaker 3: Maga Republican for a lot of high school, but I 441 00:22:14,119 --> 00:22:17,719 Speaker 3: would say it wasn't until late junior year where I 442 00:22:17,760 --> 00:22:21,640 Speaker 3: feel like I started to think outside of that, particularly 443 00:22:21,720 --> 00:22:27,520 Speaker 3: with immigration, particularly with maybe some of our relations with 444 00:22:27,560 --> 00:22:31,600 Speaker 3: other governments and foreign policy being you know, not so interventionist. 445 00:22:32,359 --> 00:22:34,560 Speaker 2: I think I would say that was late junior year 446 00:22:34,600 --> 00:22:35,160 Speaker 2: of high school. 447 00:22:35,240 --> 00:22:37,040 Speaker 1: Or was it like YouTube videos or was it No. 448 00:22:37,080 --> 00:22:39,199 Speaker 3: It wasn't anything that happened. I think I just started 449 00:22:39,200 --> 00:22:41,000 Speaker 3: to research it more. I started to think more. I 450 00:22:41,080 --> 00:22:43,920 Speaker 3: started to not just accept what I was given on 451 00:22:43,960 --> 00:22:47,479 Speaker 3: the internet and by you know, con inc you know, 452 00:22:47,600 --> 00:22:49,160 Speaker 3: I wanted to think for myself. 453 00:22:49,840 --> 00:22:51,959 Speaker 1: Okay, if you were, if you were, if someone a 454 00:22:52,000 --> 00:22:53,760 Speaker 1: parent was to say, hey, now, when I have a 455 00:22:53,800 --> 00:22:56,080 Speaker 1: fifteen year old, what should I point them to that 456 00:22:56,280 --> 00:22:58,120 Speaker 1: made you like this? What would it be? 457 00:22:58,359 --> 00:23:00,439 Speaker 3: I don't know where they should go because I just 458 00:23:00,520 --> 00:23:03,280 Speaker 3: hate all media, I really do. The media is they're 459 00:23:03,280 --> 00:23:05,760 Speaker 3: the worst people in the world, the biggest enemy to 460 00:23:05,760 --> 00:23:08,960 Speaker 3: the American people. It's not Iran, it's not China, it's 461 00:23:09,000 --> 00:23:11,600 Speaker 3: not Russia, it's not even the Democrats. It's the media. 462 00:23:11,720 --> 00:23:15,280 Speaker 3: They're the worst. They're vultures, they're blood sucking leeches. All 463 00:23:15,320 --> 00:23:18,440 Speaker 3: they do is just cause division and chaos in America. 464 00:23:18,720 --> 00:23:21,080 Speaker 3: They do that because that's how they get money in ratings. 465 00:23:21,080 --> 00:23:24,200 Speaker 3: They have no loyalty to a country, to an ideology, 466 00:23:24,400 --> 00:23:27,000 Speaker 3: to a people only their money in the ratings, which 467 00:23:27,040 --> 00:23:29,600 Speaker 3: come from chaos and a vision. They don't care about 468 00:23:29,600 --> 00:23:32,000 Speaker 3: telling the truth. They want to make the story, not 469 00:23:32,040 --> 00:23:34,119 Speaker 3: tell it. So I don't know where to go because 470 00:23:34,119 --> 00:23:34,920 Speaker 3: I hate all of them. 471 00:23:35,240 --> 00:23:37,440 Speaker 1: Okay, well it's not as helpful as I thought it 472 00:23:37,440 --> 00:23:38,960 Speaker 1: would be. 473 00:23:39,320 --> 00:23:41,280 Speaker 2: The last question, Now, you know the media sucks and 474 00:23:41,320 --> 00:23:42,080 Speaker 2: everyone knows that. 475 00:23:42,240 --> 00:23:42,400 Speaker 3: Well. 476 00:23:42,440 --> 00:23:44,280 Speaker 1: I've worked in the media. I worked with Bill Chrispwall 477 00:23:44,280 --> 00:23:46,439 Speaker 1: with the Washington Examiner. That was in twenty sixteen. That 478 00:23:46,480 --> 00:23:50,080 Speaker 1: was a rough experience. Last question, if you were to 479 00:23:50,119 --> 00:23:52,960 Speaker 1: get a vice president of answered President Trump and a 480 00:23:53,040 --> 00:23:55,520 Speaker 1: room and say like, these are the three things or 481 00:23:55,560 --> 00:23:57,720 Speaker 1: the two things that you need to focus on for 482 00:23:57,840 --> 00:24:00,199 Speaker 1: my generations heading to the mid terms? In there, like 483 00:24:00,280 --> 00:24:02,240 Speaker 1: this is what we need. What would it be that 484 00:24:02,520 --> 00:24:03,480 Speaker 1: you guys need. 485 00:24:03,400 --> 00:24:05,359 Speaker 3: I would say, in terms of what they need to do, 486 00:24:05,359 --> 00:24:09,400 Speaker 3: I would say in H one B visa's stop legal immigration, 487 00:24:11,119 --> 00:24:14,120 Speaker 3: try to curb AI and technology from taking a lot 488 00:24:14,160 --> 00:24:16,800 Speaker 3: of jobs, which is not just my generation, that's everyone. 489 00:24:16,960 --> 00:24:20,960 Speaker 3: And I would say not be so interventionist in a 490 00:24:21,000 --> 00:24:22,919 Speaker 3: lot of foreign governments. But I think Trump does a 491 00:24:22,920 --> 00:24:25,920 Speaker 3: good job because he's very pragmatic on foreign policy. Yeah, 492 00:24:26,000 --> 00:24:28,840 Speaker 3: that's more of an advice for advance to more adopt 493 00:24:28,880 --> 00:24:32,679 Speaker 3: Trump's foreign policy. But I would say those are some 494 00:24:32,760 --> 00:24:37,640 Speaker 3: big things because the main issue is jobs, affordability and safety. 495 00:24:38,840 --> 00:24:42,480 Speaker 1: Yeah, and immigration. Yeah, and you mentioned safety. I want 496 00:24:42,480 --> 00:24:44,199 Speaker 1: to put this idea in your head. Think of like 497 00:24:44,240 --> 00:24:47,840 Speaker 1: all the homes in like really bad crimeer in neighborhoods 498 00:24:47,840 --> 00:24:49,440 Speaker 1: that no one wants to live in if they were 499 00:24:49,480 --> 00:24:52,440 Speaker 1: available because the crime wasn't there, housing prices would be 500 00:24:52,480 --> 00:24:54,520 Speaker 1: solved a lot thel And where can people go to 501 00:24:54,600 --> 00:24:56,280 Speaker 1: read more about what you could put out? Because you 502 00:24:56,280 --> 00:24:59,560 Speaker 1: put out the fiery, spiciest tweets on the Internet, And like, 503 00:25:00,359 --> 00:25:02,280 Speaker 1: I spend so much time like, oh god, what did 504 00:25:02,359 --> 00:25:04,560 Speaker 1: Nayaleen say about this or that? And I know a 505 00:25:04,600 --> 00:25:06,840 Speaker 1: lot of times I laugh out loud, but like I'm 506 00:25:06,920 --> 00:25:07,879 Speaker 1: always curious. 507 00:25:08,240 --> 00:25:10,240 Speaker 3: It's not meant to be funny. It's not meant to 508 00:25:10,240 --> 00:25:12,600 Speaker 3: get attention. These are literally I don't even think when 509 00:25:12,600 --> 00:25:14,880 Speaker 3: I do it. It's just me being genuine and it's 510 00:25:14,920 --> 00:25:16,160 Speaker 3: just I react to what I see. 511 00:25:16,160 --> 00:25:18,280 Speaker 1: But well, some people are genuinely funny. I mean they 512 00:25:18,280 --> 00:25:20,880 Speaker 1: don't have to. That's what makes people like interesting. 513 00:25:21,000 --> 00:25:23,320 Speaker 3: Yeah, I would say they could find me on X. 514 00:25:23,560 --> 00:25:27,280 Speaker 3: It's just nailing underscore Haley. And then if you're local 515 00:25:27,359 --> 00:25:29,400 Speaker 3: or you're in South Carolina and you want to get involved, 516 00:25:29,400 --> 00:25:33,520 Speaker 3: I would say I'm starting a Young Republicans group for York, Lancaster, 517 00:25:33,640 --> 00:25:34,600 Speaker 3: and Chester counties. 518 00:25:35,080 --> 00:25:38,720 Speaker 2: It's going to be South Carolina, right, it's South Carolina. 519 00:25:38,760 --> 00:25:40,199 Speaker 2: It's just south of Charlotte and. 520 00:25:40,200 --> 00:25:41,800 Speaker 1: That reason in northern South Carolina. 521 00:25:41,920 --> 00:25:45,399 Speaker 3: Yeah, yeah, yeah, And so we're focused on advocating for 522 00:25:45,480 --> 00:25:48,080 Speaker 3: gen Z causes. We want a campaign and door knock 523 00:25:48,119 --> 00:25:51,520 Speaker 3: and get on the ground for conservative candidates, and we 524 00:25:51,560 --> 00:25:52,640 Speaker 3: want to increase turnout. 525 00:25:53,040 --> 00:25:56,040 Speaker 2: Young Republicans are notorious for not doing anything, so I 526 00:25:56,080 --> 00:25:56,760 Speaker 2: want to change that. 527 00:25:56,800 --> 00:26:00,000 Speaker 3: I want to make it an actual, active, grassroots local movie. 528 00:26:00,920 --> 00:26:01,840 Speaker 1: Do you still door knock? 529 00:26:03,480 --> 00:26:03,680 Speaker 2: Yeah? 530 00:26:03,720 --> 00:26:05,679 Speaker 3: I mean I try to if it's someone that I 531 00:26:05,800 --> 00:26:07,439 Speaker 3: that I really want to support you. I was in 532 00:26:07,440 --> 00:26:09,600 Speaker 3: Iowa and I doorknocked the negative fifty degrees. 533 00:26:09,880 --> 00:26:10,920 Speaker 2: I'll never do that again. 534 00:26:11,080 --> 00:26:14,120 Speaker 1: But did she do you ever door knock and someone 535 00:26:14,160 --> 00:26:15,960 Speaker 1: else the door like, oh my god, it's nailing, Like 536 00:26:16,040 --> 00:26:16,720 Speaker 1: that's crazy. 537 00:26:17,200 --> 00:26:19,159 Speaker 2: No now, and I prefer. 538 00:26:18,960 --> 00:26:22,560 Speaker 1: It that way. Okay, cool, Well, thank you everyoning this podcast. 539 00:26:22,600 --> 00:26:23,800 Speaker 1: I appreciate so much. 540 00:26:24,160 --> 00:26:24,800 Speaker 2: Thank you, Ryan. 541 00:26:28,480 --> 00:26:30,359 Speaker 1: Now it's time for Asking Me Anything. If you want 542 00:26:30,400 --> 00:26:32,520 Speaker 1: to be part of the Ask Me Anything segment, email 543 00:26:32,560 --> 00:26:35,680 Speaker 1: me Ryan at Numbers Game podcast dot com. That's Ryan 544 00:26:35,720 --> 00:26:39,360 Speaker 1: at Numbers Game podcast dot com. Plural numbers. I read 545 00:26:39,400 --> 00:26:41,600 Speaker 1: them all, I get to them. I have a big stack. 546 00:26:41,640 --> 00:26:43,639 Speaker 1: I'm gonna have to do a whole ask Me Anything 547 00:26:43,680 --> 00:26:46,520 Speaker 1: day one day. But I love getting these questions and 548 00:26:46,560 --> 00:26:49,280 Speaker 1: I answer them all either on the air or on 549 00:26:49,440 --> 00:26:52,359 Speaker 1: private email emailing you back. So this one comes from Frank. 550 00:26:52,440 --> 00:26:55,480 Speaker 1: He writes, you mentioned that you listen to an unhinged 551 00:26:55,880 --> 00:26:59,400 Speaker 1: You listen to unhinged liberal podcasts. Can you recommend any 552 00:26:59,400 --> 00:27:03,160 Speaker 1: particularly fun ones or better, Yeah, particularly funny individual episodes 553 00:27:03,240 --> 00:27:05,879 Speaker 1: or clips. I remember long ago you recommend a listening 554 00:27:06,119 --> 00:27:10,200 Speaker 1: to a podcast episode from Mary Trump and it was fantastic. Yes, Frank, 555 00:27:10,320 --> 00:27:12,959 Speaker 1: thank you for listening. What I'm saying that was the 556 00:27:13,080 --> 00:27:17,800 Speaker 1: Mary L. Trump Election Day podcast. It was so deranged. 557 00:27:17,960 --> 00:27:20,359 Speaker 1: It was so fun because it's like seven hours long, 558 00:27:20,359 --> 00:27:22,960 Speaker 1: as you're kind of skip until like results are coming out. 559 00:27:23,240 --> 00:27:25,400 Speaker 1: But in the beginning they were like we're kinna sweep 560 00:27:25,880 --> 00:27:29,280 Speaker 1: you know, Florida and Texas and it's all going blue 561 00:27:29,359 --> 00:27:31,520 Speaker 1: and then like the night goes on, they go you know, 562 00:27:31,680 --> 00:27:34,480 Speaker 1: they're like they're like, we don't need it, we don't 563 00:27:34,480 --> 00:27:37,200 Speaker 1: need the state, we don't need that state. We're still good. 564 00:27:37,359 --> 00:27:39,639 Speaker 1: The blue walls still holding, the blue wall still holding. 565 00:27:39,680 --> 00:27:43,480 Speaker 1: And then it just goes the whole map goes red 566 00:27:43,920 --> 00:27:47,280 Speaker 1: and they just start losing their minds. They're like crying 567 00:27:47,359 --> 00:27:50,000 Speaker 1: on air and they're like, at least we still have 568 00:27:50,119 --> 00:27:52,840 Speaker 1: the house, Like no, we don't have the house. And 569 00:27:53,240 --> 00:27:56,800 Speaker 1: like I mean, one one literally balls crying, like screamed out, 570 00:27:56,880 --> 00:27:59,600 Speaker 1: like it was. It was like a guttural cry. It 571 00:27:59,640 --> 00:28:01,680 Speaker 1: was so good. It was so I remember, I gonna 572 00:28:01,680 --> 00:28:03,399 Speaker 1: watch that tonight instead of a movie. Just sit there 573 00:28:03,400 --> 00:28:07,000 Speaker 1: and put that on. Election nights are great resources for 574 00:28:07,119 --> 00:28:12,440 Speaker 1: unhinged liberals. Destiny had an unhinged, unhinged episode on his 575 00:28:12,960 --> 00:28:17,120 Speaker 1: YouTube where he was like, you know, hopeful and optimistic. 576 00:28:17,240 --> 00:28:19,760 Speaker 1: I think the king of it though, is Alan Lichtman. 577 00:28:20,359 --> 00:28:21,520 Speaker 1: I don't know if you know who he is. He's 578 00:28:21,560 --> 00:28:23,320 Speaker 1: the guy who had like the thirteen Keys or the 579 00:28:23,359 --> 00:28:27,800 Speaker 1: sixteen Keys. This man's an utter freakin' moron. This man 580 00:28:27,960 --> 00:28:31,560 Speaker 1: is dumber than a sack of bricks, and he really 581 00:28:31,680 --> 00:28:33,679 Speaker 1: loves to tell him that he's a genius, and I 582 00:28:33,720 --> 00:28:36,240 Speaker 1: could not. I'm not. I'm not joking to you if 583 00:28:36,320 --> 00:28:39,480 Speaker 1: he was, you know, if he had, I'm not gonna 584 00:28:39,520 --> 00:28:40,560 Speaker 1: say what we want to say. I want to say 585 00:28:40,560 --> 00:28:43,720 Speaker 1: something very crude. But if he had, you know, never mind, 586 00:28:43,720 --> 00:28:46,040 Speaker 1: I'm not gonna say. I'm not. I'm not something that 587 00:28:46,080 --> 00:28:47,880 Speaker 1: my father always say and my father has a mouth 588 00:28:47,920 --> 00:28:50,000 Speaker 1: like a truck driver, and I keep the podcast clean. 589 00:28:50,400 --> 00:28:53,680 Speaker 1: He is not a bright man, is my point. His 590 00:28:53,840 --> 00:28:57,920 Speaker 1: election ay podcast about why his thirteen Keys were so 591 00:28:58,000 --> 00:29:00,480 Speaker 1: accurate and so smart and you can't agree from the 592 00:29:00,520 --> 00:29:03,480 Speaker 1: thirteen Keys. Oh it's so good because he's delusional. Any 593 00:29:03,480 --> 00:29:05,440 Speaker 1: other ones that are really really good. I have to 594 00:29:06,120 --> 00:29:08,040 Speaker 1: sit there and go back and watch what I'm watching. 595 00:29:08,440 --> 00:29:11,800 Speaker 1: I watch a bunch of Rosie. It's always the women too, 596 00:29:11,880 --> 00:29:16,040 Speaker 1: like middle aged women who are like completely obsessed with politics. 597 00:29:16,080 --> 00:29:18,440 Speaker 1: Are the ones who are on the left, who are 598 00:29:18,440 --> 00:29:20,760 Speaker 1: the ones who are all like completely out there. I 599 00:29:20,800 --> 00:29:23,920 Speaker 1: watch every Rosie o'donnald interview I can, because like they're 600 00:29:23,960 --> 00:29:26,520 Speaker 1: not all gems. But when I grew up watching her show, 601 00:29:26,520 --> 00:29:28,520 Speaker 1: so I kind of like her from as a kid, 602 00:29:28,600 --> 00:29:32,600 Speaker 1: like enjoying her show. But two because when she is 603 00:29:32,640 --> 00:29:34,800 Speaker 1: on Hinge, when she goes for a comment about Trump 604 00:29:34,800 --> 00:29:37,720 Speaker 1: that is completely not true, like that Elon stole the election. 605 00:29:38,320 --> 00:29:41,320 Speaker 1: It is just heaven, like it is heaven. So it's 606 00:29:41,360 --> 00:29:43,400 Speaker 1: not a podcast because she doesn't say it all the time, 607 00:29:43,440 --> 00:29:47,280 Speaker 1: but when she does, oh it's gold, and then this 608 00:29:47,400 --> 00:29:49,239 Speaker 1: is not a podcast. But if you want to like 609 00:29:49,400 --> 00:29:53,280 Speaker 1: laugh sometimes, you know on MSNBC and CNN, they like 610 00:29:53,320 --> 00:29:56,520 Speaker 1: to show themselves very serious. They're very very intelligent. They read. 611 00:29:56,880 --> 00:29:59,560 Speaker 1: It's the sound of a newspaper flipping over. There's so smart. 612 00:29:59,600 --> 00:30:02,680 Speaker 1: Morning has seven hundred newspapers everywhere and none of them 613 00:30:02,720 --> 00:30:05,200 Speaker 1: are opened, but he's got them constantly. They are the 614 00:30:05,280 --> 00:30:08,600 Speaker 1: great props Rachel Maddow. And she did this a couple 615 00:30:08,600 --> 00:30:11,320 Speaker 1: of times. An colter always tells me, like, Rachel Mattow 616 00:30:11,360 --> 00:30:13,640 Speaker 1: is the biggest conspiracy theorist on television. She's bigger than 617 00:30:13,640 --> 00:30:17,600 Speaker 1: Alex Jones, and she very much is a wild conspiracy theorist. 618 00:30:17,880 --> 00:30:21,960 Speaker 1: In twenty nineteen, she said on air, because I remember 619 00:30:22,000 --> 00:30:24,040 Speaker 1: watching this and I couldn't believe she said this. In 620 00:30:24,080 --> 00:30:27,520 Speaker 1: twenty nineteen, she said that Russia was planning to hack 621 00:30:27,640 --> 00:30:31,800 Speaker 1: America's energy grid to freeze the entire state of North 622 00:30:31,880 --> 00:30:37,080 Speaker 1: Dakota to death. Yes, the whole state of North Dakota 623 00:30:37,200 --> 00:30:40,680 Speaker 1: was going to die in twenty nineteen, according to Rachel Maddow. 624 00:30:41,200 --> 00:30:44,320 Speaker 1: And I remember hearing it go. Did she just say, 625 00:30:44,720 --> 00:30:48,320 Speaker 1: is anyone is this a gag? She was completely serious, 626 00:30:48,360 --> 00:30:51,000 Speaker 1: and she said at another time too, she repeated her conversation, 627 00:30:51,160 --> 00:30:53,280 Speaker 1: said you know they're going to hack the power grid 628 00:30:53,280 --> 00:30:56,760 Speaker 1: and freeze everyone in North Dakota to death. And I 629 00:30:56,880 --> 00:30:59,280 Speaker 1: still can't get over that. And she's never been fired 630 00:30:59,360 --> 00:31:01,840 Speaker 1: or called out for like no comment ever. I think 631 00:31:01,840 --> 00:31:04,880 Speaker 1: she was given a raise. But yeah, those kinds of things, 632 00:31:04,920 --> 00:31:08,680 Speaker 1: when liberals will say something that's utterly nutty, I find fasting. 633 00:31:08,760 --> 00:31:11,320 Speaker 1: There's that one woman who's going very popular on the blogs. 634 00:31:12,200 --> 00:31:14,400 Speaker 1: She's got a lot of botox, she came with her 635 00:31:14,400 --> 00:31:16,560 Speaker 1: face very well. I don't even know her name. She's 636 00:31:16,600 --> 00:31:18,720 Speaker 1: like anger and screaming all the time. I don't enjoy 637 00:31:18,800 --> 00:31:22,400 Speaker 1: her because I find her like to be extremely annoying. 638 00:31:22,520 --> 00:31:25,400 Speaker 1: Kar Swishers the same way, like Karen can have moments 639 00:31:25,400 --> 00:31:28,400 Speaker 1: where I'm like, well that Carra has a show with 640 00:31:28,440 --> 00:31:31,040 Speaker 1: her with like a liberal guy who's a teacher at 641 00:31:31,040 --> 00:31:35,160 Speaker 1: Scott Galloway's its persiony you and like sometimes when it's attack, 642 00:31:35,280 --> 00:31:37,160 Speaker 1: that's something very interesting to sit there and say, or 643 00:31:37,200 --> 00:31:39,520 Speaker 1: about the markets. They lapsing, very very smart. They'll take 644 00:31:39,520 --> 00:31:41,760 Speaker 1: from me, and then when they talk about politics they'll 645 00:31:41,760 --> 00:31:46,680 Speaker 1: say something completely delusional. And their post and pre election 646 00:31:47,240 --> 00:31:52,520 Speaker 1: was fantastic, fantastic because they have no shame in being 647 00:31:52,560 --> 00:31:56,840 Speaker 1: wrong all the time. Uh, and they are very proud 648 00:31:56,880 --> 00:32:00,200 Speaker 1: of it. They're very proud of their opinions. Even their 649 00:32:00,240 --> 00:32:05,520 Speaker 1: opinions are you know, jaw droppingly incorrect. Scott Galloway was 650 00:32:05,960 --> 00:32:07,520 Speaker 1: on a school board. He said this. He was on 651 00:32:07,520 --> 00:32:08,920 Speaker 1: the school board and he voted to shut the school 652 00:32:08,920 --> 00:32:13,240 Speaker 1: board down. He caused irreparable damage to young men and 653 00:32:13,280 --> 00:32:15,400 Speaker 1: young women's lives by shutting it on a school He 654 00:32:15,520 --> 00:32:17,560 Speaker 1: has no shame in it whatsoever. And he said, you 655 00:32:17,600 --> 00:32:21,880 Speaker 1: guys should all just move on. No, I love watching 656 00:32:21,920 --> 00:32:25,760 Speaker 1: them suffer, like I really do, and and embarrass themselves. 657 00:32:25,800 --> 00:32:28,720 Speaker 1: I really really do, because while you know there's no 658 00:32:28,760 --> 00:32:31,480 Speaker 1: harm in them being wrong on a podcast, he has 659 00:32:31,840 --> 00:32:35,320 Speaker 1: actually harmed people in his lives. Not great when it 660 00:32:35,320 --> 00:32:38,840 Speaker 1: comes to being accountable anyway. That's a long rane. Those 661 00:32:38,880 --> 00:32:41,440 Speaker 1: are some good episodes. I like to watch them. Kathy 662 00:32:41,480 --> 00:32:44,360 Speaker 1: Griffin also has like delusional things that she says a 663 00:32:44,400 --> 00:32:47,800 Speaker 1: lot of her on her podcasts on YouTube. She actually 664 00:32:48,280 --> 00:32:50,040 Speaker 1: one last thing and I'm going to close the show. 665 00:32:50,520 --> 00:32:54,040 Speaker 1: She actually was the first person I've heard this rumor 666 00:32:54,120 --> 00:32:56,520 Speaker 1: in DC circles. I never believed it, so I never 667 00:32:56,560 --> 00:32:59,000 Speaker 1: repeated it. But there was always a rumor in DC 668 00:32:59,120 --> 00:33:02,760 Speaker 1: circles that Elon Musk was having an affair with Stephen 669 00:33:02,760 --> 00:33:05,120 Speaker 1: Willer Miller's wife. Once again, I don't believe it. I 670 00:33:05,200 --> 00:33:07,240 Speaker 1: never believed it was just a rumor that I constantly heard. 671 00:33:07,320 --> 00:33:10,239 Speaker 1: These rumors were circulating around constant, but other things, and 672 00:33:10,280 --> 00:33:12,120 Speaker 1: you have to parse what seems like it's nonsense and 673 00:33:12,160 --> 00:33:15,040 Speaker 1: what seems like it doesn't. She was the first person 674 00:33:15,080 --> 00:33:17,520 Speaker 1: I ever heard who said this out loud on a 675 00:33:17,560 --> 00:33:19,840 Speaker 1: podcast and was like, oh, yeah, you know this is 676 00:33:20,080 --> 00:33:22,480 Speaker 1: this is how uh, this is what's going on. I 677 00:33:22,560 --> 00:33:24,360 Speaker 1: was like, WHOA, One, how did she hear that kind 678 00:33:24,400 --> 00:33:27,479 Speaker 1: of gossip? And two it's absolutely alive she's saying it. 679 00:33:27,520 --> 00:33:29,960 Speaker 1: You know WHAT'SI because she's never you know, she's also 680 00:33:30,200 --> 00:33:33,520 Speaker 1: another crazy one like Rosie who's never accurate but makes 681 00:33:33,520 --> 00:33:36,360 Speaker 1: me laugh sometimes. Anyway, Thank you for listening to podcast. 682 00:33:36,440 --> 00:33:38,760 Speaker 1: If you like this podcast, please like and subscribe give 683 00:33:38,760 --> 00:33:40,160 Speaker 1: me a five star review if you like that on 684 00:33:40,200 --> 00:33:42,960 Speaker 1: the iHeartRadio app, Apple Podcasts, where ever get your podcast. 685 00:33:43,080 --> 00:33:45,719 Speaker 1: Subscribe on YouTube really means a lot and I will 686 00:33:45,760 --> 00:33:47,040 Speaker 1: see you guys on Thursday.