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