1 00:00:00,960 --> 00:00:04,440 Speaker 1: Welcome back to a Numbers Game Podcast, Ryan Gradowski, Welcome 2 00:00:04,480 --> 00:00:07,880 Speaker 1: to the very special Ask Me Anything episode. When Buck 3 00:00:07,920 --> 00:00:11,320 Speaker 1: Sexton told me to start doing this segment of the show, 4 00:00:12,640 --> 00:00:15,360 Speaker 1: I was like, Okay, this sounds great, but I got 5 00:00:15,400 --> 00:00:18,440 Speaker 1: so few questions. My first few weeks, I was texting 6 00:00:18,480 --> 00:00:21,360 Speaker 1: friends and co workers and family members like give me 7 00:00:21,400 --> 00:00:23,240 Speaker 1: a question. I have no one who sent me questions, 8 00:00:23,720 --> 00:00:27,479 Speaker 1: and thankfully that is no longer the case. I have 9 00:00:27,560 --> 00:00:30,159 Speaker 1: gotten so many questions. We have a backlog that I 10 00:00:30,200 --> 00:00:32,640 Speaker 1: want to get to. It is the dead of summer, 11 00:00:32,680 --> 00:00:36,000 Speaker 1: and I figured why not have a special episode where 12 00:00:36,000 --> 00:00:38,440 Speaker 1: I thank the listeners for being with me here and 13 00:00:38,560 --> 00:00:40,600 Speaker 1: answering some of your questions. And if you want to 14 00:00:40,640 --> 00:00:43,440 Speaker 1: be part of future Ask Me Anything segments of the 15 00:00:43,479 --> 00:00:46,080 Speaker 1: show at the end of the podcast, email me Ryan 16 00:00:46,200 --> 00:00:49,479 Speaker 1: at Numbers Game Podcast dot com. It's Ryan at Numbers 17 00:00:49,479 --> 00:00:52,680 Speaker 1: Plural Numbers Game Podcast dot com. I read every email 18 00:00:52,680 --> 00:00:55,680 Speaker 1: and I would love to hear from you. So let's 19 00:00:55,680 --> 00:00:59,040 Speaker 1: go to some listener questions. First up is Joel from Ohio. 20 00:00:59,640 --> 00:01:01,800 Speaker 1: I love your show and wish it came out before 21 00:01:01,920 --> 00:01:04,160 Speaker 1: seven am because I'm often busy and can't get to 22 00:01:04,240 --> 00:01:07,319 Speaker 1: until later in the day, but today's a slow day anyway. 23 00:01:07,360 --> 00:01:09,240 Speaker 1: My question has to do with the situation in Iran. 24 00:01:09,360 --> 00:01:12,160 Speaker 1: My concern is that the Iranian regime will fall and 25 00:01:12,160 --> 00:01:14,120 Speaker 1: that there will be chaos in the streets. That's no 26 00:01:14,200 --> 00:01:16,000 Speaker 1: good for anyone. What I like to see is a 27 00:01:16,040 --> 00:01:19,000 Speaker 1: government in exile be formed with the support of Saudi Arabia, Qatar, 28 00:01:19,480 --> 00:01:22,919 Speaker 1: United Arab Emirates and Israel that's able to take power 29 00:01:22,920 --> 00:01:26,040 Speaker 1: on day one. Here's the question. Is any polling organization 30 00:01:26,160 --> 00:01:30,039 Speaker 1: asking in its current polls, if the poll if the 31 00:01:30,040 --> 00:01:34,320 Speaker 1: Polie would support regime change, if Iran change in Iran, 32 00:01:34,360 --> 00:01:36,600 Speaker 1: if there was a government in exile waiting for power. 33 00:01:36,959 --> 00:01:40,520 Speaker 1: Great question, Joel, appreciate it. So I think the problem 34 00:01:40,520 --> 00:01:42,679 Speaker 1: with the question you're asking is in the framing. The 35 00:01:42,760 --> 00:01:46,360 Speaker 1: idea of regime change, to the minds of Americans means 36 00:01:46,400 --> 00:01:49,520 Speaker 1: boots on the ground, and that is extremely unpopular. That's 37 00:01:49,520 --> 00:01:52,560 Speaker 1: what people go to when they hear regime change. According 38 00:01:52,600 --> 00:01:55,280 Speaker 1: to a Washington Post poll from June twenty third, is 39 00:01:55,360 --> 00:01:59,240 Speaker 1: twenty two percent of American support military intervention aimed at 40 00:01:59,280 --> 00:02:02,440 Speaker 1: toppling the current government of Iran, while forty eight percent oppose. 41 00:02:02,960 --> 00:02:06,280 Speaker 1: Only thirty six percent of Republicans, they support sending troops 42 00:02:06,440 --> 00:02:10,560 Speaker 1: into Iran, So there's no appetite at all, and all 43 00:02:10,639 --> 00:02:15,240 Speaker 1: pollings surrounding the term regime change is directly related in 44 00:02:15,280 --> 00:02:19,440 Speaker 1: the minds of people, whether correct or incorrect, to military 45 00:02:19,480 --> 00:02:22,800 Speaker 1: intervention ie boots in the ground. I know that's probably 46 00:02:22,840 --> 00:02:25,800 Speaker 1: not what she meant, but that's people think. Now here's 47 00:02:25,840 --> 00:02:30,639 Speaker 1: the idea of a government in exile. The problem is Iranians, 48 00:02:30,639 --> 00:02:33,200 Speaker 1: according to the polls available, which is very limited. I 49 00:02:33,240 --> 00:02:36,440 Speaker 1: will give you that note first. It's extremely limited. But 50 00:02:36,560 --> 00:02:39,960 Speaker 1: according to the polls available, Iranians aren't exactly sure what 51 00:02:40,040 --> 00:02:42,960 Speaker 1: kind of government they even want. A twenty twenty three 52 00:02:43,160 --> 00:02:46,400 Speaker 1: Gamand survey of one hundred and fifty eight thousand online 53 00:02:46,560 --> 00:02:51,040 Speaker 1: Iranian respondent so that eighty one percent rejected the Islamic Republic, 54 00:02:51,600 --> 00:02:55,200 Speaker 1: but twenty two percent actually favored a constitutional monarchy as 55 00:02:55,360 --> 00:02:59,000 Speaker 1: the alternative. Twenty eight percent wanted a presidential republic and 56 00:02:59,040 --> 00:03:03,400 Speaker 1: twelve percent a parliamentary republic. So while the Iranian people 57 00:03:03,639 --> 00:03:07,840 Speaker 1: don't like the current Islamic regime, who knows what future 58 00:03:07,840 --> 00:03:10,600 Speaker 1: government they want and they have to be part of 59 00:03:10,639 --> 00:03:13,480 Speaker 1: that process and they have to decide that for it 60 00:03:13,520 --> 00:03:16,720 Speaker 1: to be legitimate. We can't decide that for them, and 61 00:03:16,760 --> 00:03:18,840 Speaker 1: that's where it gets a little complicated. But thank you 62 00:03:18,880 --> 00:03:22,720 Speaker 1: for your question. Next up, Casey, she writes, new listener 63 00:03:22,760 --> 00:03:26,359 Speaker 1: to your show, but loving it. My question is an 64 00:03:26,480 --> 00:03:29,919 Speaker 1: issue that is being underreported is the immense pushback from 65 00:03:29,960 --> 00:03:33,200 Speaker 1: Senator Mike Lee has faced for his amendment in the 66 00:03:33,200 --> 00:03:36,280 Speaker 1: second in the Senate Reconciliation bill that would sell millions 67 00:03:36,280 --> 00:03:39,480 Speaker 1: of acres of public land in Western states. Right leaning 68 00:03:39,480 --> 00:03:42,640 Speaker 1: groups and voters have publicly denounced the bill, with one 69 00:03:42,640 --> 00:03:45,119 Speaker 1: of the loudest voices coming from hunters who lean right. 70 00:03:45,560 --> 00:03:49,240 Speaker 1: Following the pushback from other Western Republican senators, Mike Lee 71 00:03:49,280 --> 00:03:53,160 Speaker 1: is thinking his overthinking his approach. Is it smart for 72 00:03:53,200 --> 00:03:56,240 Speaker 1: Senator Lee to add such a controversial position to an 73 00:03:56,280 --> 00:03:58,920 Speaker 1: already contentious bill? Could this be an issue that splinter's 74 00:03:58,920 --> 00:04:01,280 Speaker 1: the Republican Party? Thanks? See okay, I got this email 75 00:04:01,560 --> 00:04:05,880 Speaker 1: before that The amendment in question would have sold three 76 00:04:05,920 --> 00:04:09,280 Speaker 1: point three million acres of land that the government owns 77 00:04:09,280 --> 00:04:12,760 Speaker 1: that's managed by the Bureau of Land Management and US 78 00:04:12,760 --> 00:04:16,760 Speaker 1: four Services. It would have sold those three point three 79 00:04:16,800 --> 00:04:20,200 Speaker 1: million acres and to private enterprise into private businesses. But 80 00:04:20,279 --> 00:04:23,679 Speaker 1: because of pressure from Republican senators like the Montana Senator 81 00:04:23,880 --> 00:04:26,520 Speaker 1: Tim Sheheeney. It's out of the bill, so it wasn't 82 00:04:26,520 --> 00:04:30,480 Speaker 1: even voted on. They took it right out of the bill. However, 83 00:04:30,720 --> 00:04:33,320 Speaker 1: I think I'm going to I'm going to give Mike 84 00:04:33,400 --> 00:04:36,159 Speaker 1: Lee a little grace. I don't agree with the approach 85 00:04:36,200 --> 00:04:38,680 Speaker 1: of just selling all of our government owned land, our 86 00:04:38,720 --> 00:04:42,440 Speaker 1: federal own land. Mike Lee has got libertarian leanings, so 87 00:04:42,480 --> 00:04:44,960 Speaker 1: they don't support federal owned land, which I understand. But 88 00:04:45,279 --> 00:04:49,680 Speaker 1: I think that specific to the state of Utah, unlike 89 00:04:49,760 --> 00:04:54,040 Speaker 1: other states, the federal land brushes right up to some 90 00:04:54,120 --> 00:04:57,160 Speaker 1: of their cities. It's not just like in the middle 91 00:04:57,160 --> 00:04:59,359 Speaker 1: of nowhere like it is for some states. Places like 92 00:04:59,440 --> 00:05:02,799 Speaker 1: Saint Utah, which is one of the fastest growing parts 93 00:05:02,839 --> 00:05:06,839 Speaker 1: of southern Utah, has very limited space because of the 94 00:05:06,839 --> 00:05:10,919 Speaker 1: federal land. I think a better solution would be to 95 00:05:11,000 --> 00:05:14,839 Speaker 1: look at where specific areas of federal land are stopping 96 00:05:14,960 --> 00:05:20,080 Speaker 1: urban planning in very specific location. Not millions of acres 97 00:05:20,080 --> 00:05:22,520 Speaker 1: across the country, but you know, maybe a several few 98 00:05:22,560 --> 00:05:25,560 Speaker 1: thousand acres in very select places. That would be in 99 00:05:25,640 --> 00:05:30,120 Speaker 1: a better alternative than Mike Lee's approach. But thank you 100 00:05:30,279 --> 00:05:36,080 Speaker 1: for that question. Next up is John Buckwalter from Scottsdale, Arizona. 101 00:05:36,120 --> 00:05:38,560 Speaker 1: By the way, guys, if I mispronounce your name, you 102 00:05:38,640 --> 00:05:41,320 Speaker 1: have to understand I can barely pronounce my own name. 103 00:05:41,360 --> 00:05:43,839 Speaker 1: I think I got John's name correctly, but other people's names. 104 00:05:43,920 --> 00:05:46,800 Speaker 1: If I mispronounce your name, I apologize. I am from 105 00:05:46,839 --> 00:05:50,800 Speaker 1: New York, I can I am missing whole syllables and 106 00:05:50,839 --> 00:05:54,839 Speaker 1: consonants in my alphabet. I am struggling through the English language. 107 00:05:54,960 --> 00:05:58,279 Speaker 1: Please forgive me ahead of time. Okay, Ryan, I just 108 00:05:58,279 --> 00:06:00,200 Speaker 1: thought I would reach out and say thank you. Listen 109 00:06:00,240 --> 00:06:02,760 Speaker 1: to a fair amount of conservative podcast I really like yours. 110 00:06:02,839 --> 00:06:06,320 Speaker 1: I value quality information on relevant topics and guests and 111 00:06:06,400 --> 00:06:08,599 Speaker 1: expert analysis. You do it like no one else I 112 00:06:08,600 --> 00:06:10,680 Speaker 1: have found, and you don't waste my time. Thank you. 113 00:06:10,720 --> 00:06:13,600 Speaker 1: I hate waste people's time. You must work really hard 114 00:06:13,640 --> 00:06:16,279 Speaker 1: to do your research and organize guests. Are you on 115 00:06:16,480 --> 00:06:19,000 Speaker 1: channels other than the free podcast that I should find 116 00:06:19,040 --> 00:06:21,600 Speaker 1: you on? Great content deserves my support. Keep it up. 117 00:06:21,920 --> 00:06:23,960 Speaker 1: Thank you so much, John, that's really really nice of you. 118 00:06:24,920 --> 00:06:28,120 Speaker 1: I have a newsletter called the National Poplist Newsletter on substack. 119 00:06:28,160 --> 00:06:31,360 Speaker 1: It's fifty dollars a year for a subscription, and that's 120 00:06:31,360 --> 00:06:34,719 Speaker 1: basically it. I have been asked many times to start 121 00:06:34,760 --> 00:06:37,760 Speaker 1: a YouTube channel for this podcast, and something I hope 122 00:06:37,800 --> 00:06:39,800 Speaker 1: to do at some point this year is to get 123 00:06:39,800 --> 00:06:41,760 Speaker 1: this on youtubecause people like to listen and watch a 124 00:06:41,839 --> 00:06:45,080 Speaker 1: video seeming to be very animated with my hands flailing 125 00:06:45,600 --> 00:06:48,880 Speaker 1: and all my italianness. But that is something that I 126 00:06:48,920 --> 00:06:51,360 Speaker 1: plan on doing, hopefully sometime this year, if I can 127 00:06:51,400 --> 00:06:52,919 Speaker 1: get around to it. I don't really know how to 128 00:06:52,960 --> 00:06:54,560 Speaker 1: do that though, so I'm going to figure it out. 129 00:06:55,360 --> 00:06:58,920 Speaker 1: Another big fantasy goal of mine for this podcast eventually 130 00:06:58,960 --> 00:07:01,080 Speaker 1: if it continues to grow, and last month was my 131 00:07:01,120 --> 00:07:04,480 Speaker 1: best month ever, so I'm so appreciative to every person 132 00:07:04,839 --> 00:07:08,320 Speaker 1: who spends the thirty to forty five minutes hearing my voice. 133 00:07:08,440 --> 00:07:10,400 Speaker 1: You have no idea how grateful I am. No one 134 00:07:10,400 --> 00:07:12,000 Speaker 1: in my family would do that if I paid them 135 00:07:12,080 --> 00:07:15,640 Speaker 1: to do it. But a big goal of mine eventually 136 00:07:15,640 --> 00:07:17,280 Speaker 1: if it continues to grow, is I would love to 137 00:07:17,320 --> 00:07:19,760 Speaker 1: do a live audience taping one day with like a 138 00:07:19,800 --> 00:07:21,880 Speaker 1: guest like I would if I can ask Anne Cole 139 00:07:21,960 --> 00:07:23,360 Speaker 1: to do it with me one day, that would be 140 00:07:23,360 --> 00:07:25,680 Speaker 1: fun in a theater or something. I don't know. If 141 00:07:25,680 --> 00:07:27,680 Speaker 1: people would pay to attend that, but that would be 142 00:07:27,920 --> 00:07:29,680 Speaker 1: fun and that's something I would love to do. But 143 00:07:29,760 --> 00:07:32,320 Speaker 1: as for right now, it's just the substack. So thank 144 00:07:32,320 --> 00:07:35,960 Speaker 1: you for listening and maybe subscribe. Now let's go to Russell. 145 00:07:36,520 --> 00:07:40,520 Speaker 1: I'm gonna mispronounce your name Kluge. I think hello Ryan, 146 00:07:40,680 --> 00:07:42,680 Speaker 1: great work on your show. I increasing look forward to 147 00:07:42,760 --> 00:07:45,400 Speaker 1: Mondays and Thursdays. I will try to be as concise 148 00:07:45,440 --> 00:07:47,680 Speaker 1: as possible with twenty sixteen and twenty twenty four now 149 00:07:47,720 --> 00:07:50,400 Speaker 1: in the review mirror, What do you think about and 150 00:07:50,480 --> 00:07:53,160 Speaker 1: are there any numbers on the assumption often repeated by 151 00:07:53,200 --> 00:07:55,600 Speaker 1: Democratic pundits in both election years, that the US will 152 00:07:55,600 --> 00:07:58,400 Speaker 1: never elect a female president is the assumption that a 153 00:07:58,400 --> 00:08:01,640 Speaker 1: Democratic nominee is more likely to win if Vance is 154 00:08:01,640 --> 00:08:04,600 Speaker 1: the Republican air apparent. Is there any possibility of a 155 00:08:04,600 --> 00:08:08,280 Speaker 1: female VP pick over, say Marco Rubio or another male 156 00:08:08,800 --> 00:08:13,080 Speaker 1: cabinet member. I've included three major observations and one prompt 157 00:08:13,160 --> 00:08:17,360 Speaker 1: about a candidate that have influenced my own thinking that 158 00:08:17,400 --> 00:08:21,360 Speaker 1: possibly refused the above assumption. The twenty sixteen gender gap, 159 00:08:21,400 --> 00:08:23,360 Speaker 1: which shows there was no differs between Clinton and the 160 00:08:23,400 --> 00:08:27,600 Speaker 1: Trump debates candidate quality in the twenty twenty two elections 161 00:08:27,640 --> 00:08:30,680 Speaker 1: where female candidates. One I'm concise what he says there 162 00:08:30,720 --> 00:08:32,440 Speaker 1: and says, by the way, because it's paragraphs so long. 163 00:08:33,040 --> 00:08:34,760 Speaker 1: Donald Trump himself, no one thought that he was a 164 00:08:34,800 --> 00:08:39,000 Speaker 1: serious candidate before he ran. And Sarah Palin that she 165 00:08:39,240 --> 00:08:43,080 Speaker 1: was not hurt from being a woman. Okay, I appreciate 166 00:08:44,920 --> 00:08:46,800 Speaker 1: he says, by the I appreciate your time that you 167 00:08:46,880 --> 00:08:50,120 Speaker 1: take for your response. Okay, thank you so much, Russell. 168 00:08:50,200 --> 00:08:52,719 Speaker 1: This is Russell Klug. I don't think I'm spelling that 169 00:08:52,880 --> 00:08:55,520 Speaker 1: pronouncing that name correctly anyway, but Russell Klug, thank you, 170 00:08:57,120 --> 00:09:02,400 Speaker 1: very astute observations. I think Kamala Harris and Hillary Clinton 171 00:09:02,800 --> 00:09:05,920 Speaker 1: set women politicians back in this country. I really do. 172 00:09:06,040 --> 00:09:10,440 Speaker 1: With their losses, especially Kamala even more than Hillary. I 173 00:09:10,440 --> 00:09:13,839 Speaker 1: think people thought Hillary would be a fluke, and Kamala 174 00:09:13,880 --> 00:09:16,280 Speaker 1: losing the popular vote and losing every swing state and 175 00:09:16,440 --> 00:09:19,640 Speaker 1: making some states more competitive than they should have been 176 00:09:20,559 --> 00:09:25,240 Speaker 1: really hurt female candidates. And I do think it will 177 00:09:25,280 --> 00:09:28,920 Speaker 1: be a bit of time before Democrats nominate a woman again. 178 00:09:29,480 --> 00:09:33,800 Speaker 1: As far as Republicans go, my bigger question is who 179 00:09:33,800 --> 00:09:36,480 Speaker 1: would they pick right And I've heard through the grape 180 00:09:36,520 --> 00:09:38,480 Speaker 1: vine that elis Stephonic is planning to make a run 181 00:09:38,520 --> 00:09:40,480 Speaker 1: in twenty twenty eight, whether or not she wins the 182 00:09:40,480 --> 00:09:44,160 Speaker 1: governorship of New York. I'm sorry, but I don't think 183 00:09:44,240 --> 00:09:48,640 Speaker 1: she's got a shot in hell. Allegedly Trump said that 184 00:09:48,679 --> 00:09:51,880 Speaker 1: she looks like this is mean, but this is what 185 00:09:51,960 --> 00:09:54,559 Speaker 1: I heard through the grape vine. Allegedly Trump said she 186 00:09:54,720 --> 00:09:57,120 Speaker 1: dresses like a couch. And the sad thing is, we 187 00:09:57,160 --> 00:10:00,000 Speaker 1: all know which couch's talking about. It's the couch from Rosanna. 188 00:10:00,440 --> 00:10:02,839 Speaker 1: We know it. A big part of it is not 189 00:10:03,080 --> 00:10:05,200 Speaker 1: cad quality in the sense of do they have what 190 00:10:05,320 --> 00:10:08,880 Speaker 1: it takes? But are they doing the correct things now 191 00:10:09,480 --> 00:10:12,840 Speaker 1: to launch a presidential bid? Are they making an effishing team? 192 00:10:12,920 --> 00:10:15,760 Speaker 1: Do they have the donors in mind? I'll tell you 193 00:10:15,800 --> 00:10:19,840 Speaker 1: Sarah Huckabee Sanders definitely did a lot of damage to 194 00:10:19,920 --> 00:10:24,080 Speaker 1: herself in Trump world when she refused to endorse him 195 00:10:24,080 --> 00:10:28,000 Speaker 1: out of the gate. Katie Britt left a lot to 196 00:10:28,040 --> 00:10:31,760 Speaker 1: be desired when she gave her rebuttal to the State 197 00:10:31,760 --> 00:10:34,679 Speaker 1: of the Union and poison the well water. A lot 198 00:10:34,720 --> 00:10:38,720 Speaker 1: with how grabby she was during the VP selection. Christy 199 00:10:38,800 --> 00:10:41,480 Speaker 1: nom she shot her dog right. That ends that there's 200 00:10:41,480 --> 00:10:43,400 Speaker 1: no America is not going to vote for the lady 201 00:10:43,400 --> 00:10:46,480 Speaker 1: who shot her puppy. I mean, you can say you 202 00:10:46,720 --> 00:10:50,559 Speaker 1: want a woman president, but unless you can give a 203 00:10:50,559 --> 00:10:53,880 Speaker 1: specific example, it's hard for me to give you a 204 00:10:53,920 --> 00:10:56,720 Speaker 1: definitive answer on whether they can be the nominee. And 205 00:10:56,800 --> 00:10:59,680 Speaker 1: there's a big difference between running for governor or Senate 206 00:10:59,760 --> 00:11:03,160 Speaker 1: and running for president. Namely, you're the commander in chief 207 00:11:03,200 --> 00:11:06,400 Speaker 1: of the armed services. So I don't know the answer. 208 00:11:06,440 --> 00:11:08,880 Speaker 1: I know, like my buddy Megan McCain really wants there 209 00:11:08,880 --> 00:11:12,200 Speaker 1: to be a woman president one day, and people have 210 00:11:12,280 --> 00:11:15,200 Speaker 1: mentioned a lot of names. I don't see someone on 211 00:11:15,240 --> 00:11:18,000 Speaker 1: the horizon right now. Doesn't mean there can't be, but 212 00:11:18,080 --> 00:11:20,160 Speaker 1: it's like it's like someone saying, will ever be a 213 00:11:20,200 --> 00:11:23,440 Speaker 1: gay president? Not Pete poota judge. That's the answer to that. 214 00:11:23,679 --> 00:11:26,000 Speaker 1: Will there be one? There's no Republican on the horizon. 215 00:11:26,040 --> 00:11:29,960 Speaker 1: Could there be one? Maybe, but until you give me 216 00:11:30,000 --> 00:11:32,960 Speaker 1: a name, I can't give you an answer. Okay, we'll 217 00:11:32,960 --> 00:11:36,320 Speaker 1: be back with more listener questions after this brief break. 218 00:11:36,360 --> 00:11:42,520 Speaker 1: Stay tuned, Welcome back. Our next listener question comes from 219 00:11:42,559 --> 00:11:45,080 Speaker 1: Andy Kirby. He writes, Hey, Ryan, love the podcast and 220 00:11:45,120 --> 00:11:47,480 Speaker 1: what you do for the seventeen seventy six project. I 221 00:11:47,559 --> 00:11:50,800 Speaker 1: use numbers like number websites like numbers USA and Liberty 222 00:11:50,840 --> 00:11:53,960 Speaker 1: Score to make sure that Republican politicians in my state 223 00:11:54,040 --> 00:11:57,000 Speaker 1: aren't going along with libtard policies. I love that you 224 00:11:57,080 --> 00:12:00,200 Speaker 1: said libtard. Is there any other? Is there any any 225 00:12:00,240 --> 00:12:03,360 Speaker 1: other or better website like that to track how people 226 00:12:03,440 --> 00:12:07,000 Speaker 1: are voting in DC and on state level stuff? Also, 227 00:12:07,120 --> 00:12:09,800 Speaker 1: do we have a chance of winning the governor's mansion 228 00:12:09,840 --> 00:12:13,280 Speaker 1: in Wisconsin replacing Tony Evers? Or do you have any 229 00:12:13,360 --> 00:12:16,160 Speaker 1: of the stories about Wisconsin other than why Tom Tiffany 230 00:12:16,240 --> 00:12:21,400 Speaker 1: is the best elected representative Wisconsin. Thanks so much. Okay, Andy, No, 231 00:12:21,559 --> 00:12:23,480 Speaker 1: there is not a better website. And I know this 232 00:12:23,520 --> 00:12:26,720 Speaker 1: because I have told so many people like Amy Kramer 233 00:12:26,760 --> 00:12:29,320 Speaker 1: and John Magantee and people, and I'm like, make this website, 234 00:12:29,360 --> 00:12:32,720 Speaker 1: make a Magascore website for politicians. It would be a 235 00:12:33,040 --> 00:12:41,000 Speaker 1: huge hit, right. Take big topics trade, foreign policy, you know, infrastructure, whatever, 236 00:12:41,679 --> 00:12:44,920 Speaker 1: immigration obviously, and rank how people vote and make sure 237 00:12:44,920 --> 00:12:48,240 Speaker 1: people know how they're voting, how the representatives are voting 238 00:12:48,280 --> 00:12:50,400 Speaker 1: in terms of things that you like, and include amendments 239 00:12:50,400 --> 00:12:52,959 Speaker 1: and stuff like this. And a lot of people been interested, 240 00:12:52,960 --> 00:12:55,880 Speaker 1: but no, one has done it, and I don't understand why, 241 00:12:55,920 --> 00:12:58,120 Speaker 1: and I'm too busy to do it. But someone should 242 00:12:58,160 --> 00:12:59,800 Speaker 1: do it. Someone should have been doing it for a 243 00:12:59,840 --> 00:13:04,560 Speaker 1: year years. As far as Wisconsin goes, my friend is 244 00:13:04,760 --> 00:13:07,040 Speaker 1: Rebecca Cleafish. She does a lot of school board stuff 245 00:13:07,080 --> 00:13:12,280 Speaker 1: with me, like our nonprofits do, so I respect her 246 00:13:12,320 --> 00:13:14,040 Speaker 1: a lot. I really like her. I think she'd be 247 00:13:14,040 --> 00:13:16,160 Speaker 1: a great governor. I told her on the phone to run, 248 00:13:16,320 --> 00:13:18,120 Speaker 1: and she didn't really give me a clearance when she 249 00:13:18,200 --> 00:13:20,319 Speaker 1: was going to do it or not. Wisconsin is a 250 00:13:20,480 --> 00:13:23,679 Speaker 1: very tough state, and a lot of people from Illinois 251 00:13:23,800 --> 00:13:26,760 Speaker 1: and Minnesota have moved there and taken their politics there. 252 00:13:26,880 --> 00:13:29,680 Speaker 1: It was the closest swing state that voted for Trump. 253 00:13:29,720 --> 00:13:32,920 Speaker 1: In terms of the raw vocoes. You have to either 254 00:13:32,960 --> 00:13:34,800 Speaker 1: get someone who has the Trump effect in the rural 255 00:13:34,840 --> 00:13:38,640 Speaker 1: counties or runs decent numbers in the cities like Dane 256 00:13:38,679 --> 00:13:42,040 Speaker 1: and Milwaukee, or you turn out the wow counties with 257 00:13:42,200 --> 00:13:45,600 Speaker 1: huge numbers. So Wisconsin's a tough state to win. I 258 00:13:45,600 --> 00:13:49,200 Speaker 1: mean it's possible. For sure. Tony Evers is going to 259 00:13:49,200 --> 00:13:52,880 Speaker 1: be a prime target for a flip in Republican for 260 00:13:52,920 --> 00:13:55,319 Speaker 1: the RGA in twenty twenty six, and I think they'll 261 00:13:55,320 --> 00:13:58,160 Speaker 1: put a lot of money there, but I don't know. 262 00:13:58,280 --> 00:13:59,920 Speaker 1: I mean, I have to see the nominee as first. 263 00:14:00,240 --> 00:14:03,160 Speaker 1: As far as Wisconsin stories go, it's tough. I've only 264 00:14:03,200 --> 00:14:05,800 Speaker 1: for the school board races. I've never actually visited the state. 265 00:14:05,840 --> 00:14:08,480 Speaker 1: Of a lot of friends from Wisconsin who will always 266 00:14:08,520 --> 00:14:10,480 Speaker 1: tell me come up there for the beer, the cheese 267 00:14:10,520 --> 00:14:12,800 Speaker 1: and the lakes, and I have not had a chance to. 268 00:14:13,320 --> 00:14:16,119 Speaker 1: It should be my bucket list, though, to go to Wisconsin. 269 00:14:16,240 --> 00:14:19,000 Speaker 1: I heard it's a beautiful state, but I haven't been. 270 00:14:19,680 --> 00:14:22,640 Speaker 1: Next question is from Olivia Hutchins. Okay, this is a 271 00:14:22,880 --> 00:14:26,480 Speaker 1: very long question. I'm going to try to condense it. Olivia, Ryan, 272 00:14:26,520 --> 00:14:28,280 Speaker 1: I'm a huge fan of the podcast. I've been meaning 273 00:14:28,320 --> 00:14:31,520 Speaker 1: to email you to cover some things about polling for 274 00:14:31,680 --> 00:14:35,640 Speaker 1: my background on my evolution. We are around the same age. 275 00:14:35,680 --> 00:14:38,520 Speaker 1: I'm thirty nine, she's thirty nine. I'm thirty eight, but 276 00:14:38,800 --> 00:14:42,440 Speaker 1: i'm thirty nine. I'll be forty next year. I canvassed 277 00:14:42,440 --> 00:14:44,600 Speaker 1: for Hillary in two thousand and seven, voted for Obama 278 00:14:44,640 --> 00:14:47,760 Speaker 1: in eight and twelve Hillary, and sixteen cry when Trump won, 279 00:14:48,120 --> 00:14:50,000 Speaker 1: then voted for Trump and twenty and twenty four and 280 00:14:50,040 --> 00:14:53,720 Speaker 1: couldn't be happy with how things are going. She's lived 281 00:14:53,760 --> 00:14:56,400 Speaker 1: all around the country, from Philly to San Francisco to 282 00:14:56,440 --> 00:14:59,440 Speaker 1: now Denver. I'm moving back east. A couple of things. 283 00:14:59,480 --> 00:15:03,440 Speaker 1: I'm pretty radicalizednse beingcoming a mom, and I have no 284 00:15:03,560 --> 00:15:06,920 Speaker 1: tolerance for BS, which is basically the entire left right now. 285 00:15:06,960 --> 00:15:09,840 Speaker 1: Absolutely anything that puts my kids at risk is a 286 00:15:09,920 --> 00:15:13,160 Speaker 1: no from me. And I'm wondering if you've seen any research, commentary, 287 00:15:13,240 --> 00:15:16,160 Speaker 1: or polling related to women with kids. I know married 288 00:15:16,160 --> 00:15:19,040 Speaker 1: women tend to vote Republican, but I'm curious about why 289 00:15:19,120 --> 00:15:21,040 Speaker 1: that is. I grew up pretty liberal, went to a 290 00:15:21,040 --> 00:15:24,080 Speaker 1: private liberal arts school, and then went to law school 291 00:15:24,320 --> 00:15:27,480 Speaker 1: when the economy collapsed in eight graduated with lots of debt. 292 00:15:27,800 --> 00:15:31,080 Speaker 1: I paid diligently for a decade plus and now considered 293 00:15:31,120 --> 00:15:34,040 Speaker 1: a highly educated voter with a degree. But I'm not 294 00:15:34,120 --> 00:15:37,760 Speaker 1: particularly religious, so I don't think I fully fit the 295 00:15:37,800 --> 00:15:40,680 Speaker 1: mold of a conservative woman voter. Interested to see if 296 00:15:40,680 --> 00:15:44,280 Speaker 1: you've covered this or have any insight. She also asked 297 00:15:44,280 --> 00:15:48,880 Speaker 1: about the birth rate for immigrants about people who have 298 00:15:49,280 --> 00:15:55,120 Speaker 1: self deported. Okay, so, Olivia, thank you for your question. First, 299 00:15:55,160 --> 00:15:57,960 Speaker 1: I will say this, I am a low education voter 300 00:15:58,680 --> 00:16:01,160 Speaker 1: because I don't have a college degree, a college shropout 301 00:16:01,320 --> 00:16:04,600 Speaker 1: when I say low education, and when people say low education, 302 00:16:04,760 --> 00:16:08,880 Speaker 1: it should not be interpreted as low intelligence or low information. 303 00:16:09,200 --> 00:16:12,040 Speaker 1: Those are two very separate things. And I think that 304 00:16:12,040 --> 00:16:16,000 Speaker 1: that's very important, because people get very tightly wound when 305 00:16:16,000 --> 00:16:19,040 Speaker 1: they hear low education as if it means low information 306 00:16:19,400 --> 00:16:23,560 Speaker 1: or low intelligence. It's not comparable. It's not the same 307 00:16:23,560 --> 00:16:25,920 Speaker 1: thing at all. When it comes to women with children 308 00:16:26,080 --> 00:16:28,880 Speaker 1: under eighteen, I actually did this research for you. So 309 00:16:29,440 --> 00:16:31,440 Speaker 1: this is according to exit polling, which is not the 310 00:16:31,440 --> 00:16:33,000 Speaker 1: most accurate thing in the world, but it is the 311 00:16:33,040 --> 00:16:37,160 Speaker 1: only thing that actually examined this specific question. Women with 312 00:16:37,280 --> 00:16:41,240 Speaker 1: children under eighteen voted more Republican than women without children 313 00:16:41,320 --> 00:16:43,880 Speaker 1: under eighteen in the last election. According to Seen and 314 00:16:44,000 --> 00:16:47,040 Speaker 1: Exit Polls, which was done by the Edison Foundation, White 315 00:16:47,040 --> 00:16:49,440 Speaker 1: women with children under eighteen voted for Trump by a 316 00:16:49,520 --> 00:16:53,320 Speaker 1: margin of eighteen points compared to one point for women 317 00:16:53,360 --> 00:16:57,800 Speaker 1: without children under eighteen. Among Latina women, they voted double 318 00:16:57,880 --> 00:17:02,120 Speaker 1: digits more for Trump than women without children did. Even 319 00:17:02,120 --> 00:17:04,120 Speaker 1: though he didn't win them, he got a lot closer 320 00:17:04,160 --> 00:17:06,600 Speaker 1: because of children. Women and the only group that appears 321 00:17:06,640 --> 00:17:09,840 Speaker 1: to be an outlier to that trend is black women. Now, 322 00:17:09,880 --> 00:17:12,920 Speaker 1: remember I said this is exit polling, so Pew Research 323 00:17:13,000 --> 00:17:16,479 Speaker 1: and other organizations that did this research they didn't include 324 00:17:16,480 --> 00:17:19,359 Speaker 1: that question. But there are numbers for black women. And 325 00:17:19,359 --> 00:17:23,639 Speaker 1: how Trump performed was actually better than the sampling in 326 00:17:23,760 --> 00:17:26,560 Speaker 1: the exit poling, So maybe he did do better. But 327 00:17:26,640 --> 00:17:29,520 Speaker 1: it seems obvious that the trend for a Latino women 328 00:17:29,520 --> 00:17:31,639 Speaker 1: and for white women, especially which there was a large 329 00:17:31,640 --> 00:17:35,400 Speaker 1: sample size, is that he did significantly better. His margins 330 00:17:35,400 --> 00:17:39,040 Speaker 1: were double digits better for both demographics when it came 331 00:17:39,160 --> 00:17:42,080 Speaker 1: to do they have children under eighteen or not? Why 332 00:17:42,200 --> 00:17:45,800 Speaker 1: is that? Why do women with a with a spouse 333 00:17:45,800 --> 00:17:48,639 Speaker 1: and with children vote differently than those without because their 334 00:17:48,680 --> 00:17:51,959 Speaker 1: priorities are different, their life experiences are different, and I 335 00:17:52,200 --> 00:17:59,239 Speaker 1: think that there is something to women who don't And 336 00:17:59,280 --> 00:18:02,040 Speaker 1: this is no listen, everyone's their own choices in life. 337 00:18:02,280 --> 00:18:04,640 Speaker 1: Don't get married, get married, have kids, don't have kids. 338 00:18:04,720 --> 00:18:06,520 Speaker 1: I'm not putting you down for what I'm going to say, 339 00:18:06,800 --> 00:18:10,119 Speaker 1: but I think it's worth's saying there is something for women, 340 00:18:10,640 --> 00:18:15,040 Speaker 1: especially liberal women who are middle aged or older, who 341 00:18:15,080 --> 00:18:18,879 Speaker 1: don't have children, who are politics and they tend not 342 00:18:18,880 --> 00:18:23,000 Speaker 1: to be religious either, except for the nuns. Politics becomes 343 00:18:23,080 --> 00:18:28,440 Speaker 1: their family, their kids, their church, their QVC. It's where 344 00:18:28,440 --> 00:18:30,400 Speaker 1: they put money, it's where they put time, it's where 345 00:18:30,400 --> 00:18:33,560 Speaker 1: they put energy, it's where they volunteer. I respect that immensely. 346 00:18:33,600 --> 00:18:37,280 Speaker 1: You're part of the democratic process, that's great, but that 347 00:18:37,480 --> 00:18:41,119 Speaker 1: is very much their world. And I have friends in 348 00:18:41,280 --> 00:18:45,399 Speaker 1: who fall in that bracket who are liberal, and I 349 00:18:45,480 --> 00:18:48,760 Speaker 1: maintain friendships with them because I think they're good people overall, 350 00:18:48,840 --> 00:18:52,680 Speaker 1: and I like them, but they become exhausting about politics. 351 00:18:52,720 --> 00:18:55,399 Speaker 1: Sometimes they really like to talk about it quite a 352 00:18:55,520 --> 00:18:58,640 Speaker 1: bit more than I do. I don't like to talk 353 00:18:58,640 --> 00:19:00,520 Speaker 1: about politics because I work in it, so it's not 354 00:19:00,600 --> 00:19:04,439 Speaker 1: the same thing for me. But I think that's partly why. 355 00:19:04,880 --> 00:19:07,360 Speaker 1: On the second thing with supporting people, I read the 356 00:19:07,400 --> 00:19:09,320 Speaker 1: full paragraph that I'm not going to read out loud. 357 00:19:09,680 --> 00:19:12,280 Speaker 1: It's very hard for me to sit there and give 358 00:19:12,320 --> 00:19:17,320 Speaker 1: you analysis on self deportation stories because there's no hard numbers. 359 00:19:17,359 --> 00:19:19,800 Speaker 1: As I said in the previous question, a lot of 360 00:19:19,800 --> 00:19:22,920 Speaker 1: it is just the New York Times or NPR interviewed 361 00:19:22,920 --> 00:19:25,240 Speaker 1: this person or that person, they cried and they went home. 362 00:19:25,320 --> 00:19:29,199 Speaker 1: There's we just don't collected data like that, and until 363 00:19:29,280 --> 00:19:33,160 Speaker 1: an organization does that, I don't have the answers. Eventually, 364 00:19:33,160 --> 00:19:37,359 Speaker 1: hopefully I will. Okay, this next question comes from Ryan, 365 00:19:38,000 --> 00:19:42,119 Speaker 1: best name in the best name in the English language. Ryan, 366 00:19:42,359 --> 00:19:44,919 Speaker 1: I say that, I say what you said on this 367 00:19:44,960 --> 00:19:47,800 Speaker 1: podcast on Thursday, all the time you want Nancy Pelosigan. 368 00:19:47,880 --> 00:19:50,920 Speaker 1: Whoever replaces her will be ten times worse. Same with 369 00:19:51,000 --> 00:19:54,280 Speaker 1: Schumer Naler. Look at me in New Jersey Republicans hate 370 00:19:54,320 --> 00:19:56,800 Speaker 1: him Menendez, then we got Kim Way worse. Your podcast 371 00:19:56,840 --> 00:19:59,720 Speaker 1: is fantastic, getting better and better. Keep it up, Ryan, 372 00:20:00,000 --> 00:20:02,520 Speaker 1: Bryan a big fan of the name. Thank you so much. 373 00:20:02,720 --> 00:20:04,399 Speaker 1: I know it wasn't a correct question, but thanks for 374 00:20:04,440 --> 00:20:07,800 Speaker 1: the shout out. Yeah, the progresses that are coming forward, 375 00:20:08,040 --> 00:20:10,320 Speaker 1: like the Mendanis of the world, will make Build A. 376 00:20:10,359 --> 00:20:16,400 Speaker 1: Blasio look like Ronald Reagan. They are, you know, saturated 377 00:20:16,880 --> 00:20:24,840 Speaker 1: in wokeness, in identity politics, in that Marxism. It's going 378 00:20:24,920 --> 00:20:28,520 Speaker 1: to not be great. It's just not going to be great. 379 00:20:28,920 --> 00:20:33,040 Speaker 1: So I completely agree. Okay, last question, this one I'm reading, 380 00:20:33,240 --> 00:20:36,840 Speaker 1: is from Patty. I love your It's a Numbers Game podcast. 381 00:20:36,880 --> 00:20:38,760 Speaker 1: I've been a listener since you were on Clay and Buck. 382 00:20:39,280 --> 00:20:42,200 Speaker 1: I really liked your New York's New Normal podcast even 383 00:20:42,200 --> 00:20:45,000 Speaker 1: though I am from California, so interesting to hear you 384 00:20:45,080 --> 00:20:47,080 Speaker 1: lay up what's happening in New York, which I believe 385 00:20:47,119 --> 00:20:50,840 Speaker 1: is also filtering across the country and into California. Interesting 386 00:20:50,920 --> 00:20:54,120 Speaker 1: to hear how people are voting based on race, gender, nationally, 387 00:20:54,119 --> 00:20:56,879 Speaker 1: and education. However, it's hard to hear the words lower 388 00:20:57,000 --> 00:21:00,000 Speaker 1: education and less educated because that's me as a middle 389 00:21:00,040 --> 00:21:02,520 Speaker 1: class person, even though I have a college degree, just 390 00:21:02,560 --> 00:21:05,359 Speaker 1: not a higher degree. I think where the people with 391 00:21:05,440 --> 00:21:08,600 Speaker 1: real life experiences, forethought, and common sense believe your podcast 392 00:21:08,600 --> 00:21:11,240 Speaker 1: will get some New York Conservatives voting in the polls. 393 00:21:11,640 --> 00:21:13,639 Speaker 1: My vote is for you to do an in depth 394 00:21:13,680 --> 00:21:17,280 Speaker 1: podcast on California, how they vote and who's voting. We 395 00:21:17,320 --> 00:21:19,679 Speaker 1: have such a strong feeling California that it's really a 396 00:21:19,720 --> 00:21:22,000 Speaker 1: purple state, but it always comes up with such strong 397 00:21:22,040 --> 00:21:25,200 Speaker 1: blue state. Our representatives seemed very lazy. They just vote 398 00:21:25,200 --> 00:21:27,080 Speaker 1: with the Democratic Party no matter what the issue is. 399 00:21:27,080 --> 00:21:29,600 Speaker 1: Would love to hear your analysis in California. I expect 400 00:21:29,760 --> 00:21:32,160 Speaker 1: Kamala Harris be our next governor because the DNC will 401 00:21:32,160 --> 00:21:35,680 Speaker 1: pick her and Democrats's vote in line. Also, I expect 402 00:21:35,720 --> 00:21:37,760 Speaker 1: Gavin Newsom's running for president, even though he's made it 403 00:21:38,160 --> 00:21:41,159 Speaker 1: a mess of California. Love your podcast response to an 404 00:21:41,200 --> 00:21:44,359 Speaker 1: email or tidbits. Keep up the good work. Thank you 405 00:21:44,400 --> 00:21:47,000 Speaker 1: Patty for that. Okay, you want a whole California episode, 406 00:21:47,119 --> 00:21:49,760 Speaker 1: I will bring you a whole California episode. I will 407 00:21:49,960 --> 00:21:52,399 Speaker 1: ask the people. I will get people on who are 408 00:21:52,400 --> 00:21:55,000 Speaker 1: expossed on California. Patty, your wish will be my command. 409 00:21:55,040 --> 00:21:57,520 Speaker 1: I will get an episode this summer all in California. 410 00:21:57,640 --> 00:21:59,560 Speaker 1: I have some data in my head. I know California 411 00:21:59,600 --> 00:22:02,359 Speaker 1: is to a lot of new Republicans. So first and 412 00:22:02,359 --> 00:22:04,960 Speaker 1: foremost about the education thing. Once again, when you have 413 00:22:05,000 --> 00:22:08,040 Speaker 1: a college degree, you're actually not a low education voter. 414 00:22:08,160 --> 00:22:10,600 Speaker 1: You're actually a college educative voter. So if you have 415 00:22:10,640 --> 00:22:14,520 Speaker 1: a degree, you do not represent a low education voter. 416 00:22:14,760 --> 00:22:17,600 Speaker 1: I represent a low education voter. I went to Queen's 417 00:22:17,640 --> 00:22:21,560 Speaker 1: College and dropped out with studying art. I was really 418 00:22:21,600 --> 00:22:25,000 Speaker 1: not trying in school. I am the low education voter, 419 00:22:25,480 --> 00:22:27,560 Speaker 1: but I'm not a low inform voter, and I'm a 420 00:22:27,640 --> 00:22:31,960 Speaker 1: very high active voter. The problem with low education voters, 421 00:22:32,600 --> 00:22:35,800 Speaker 1: often times people without a college degree is they don't 422 00:22:35,920 --> 00:22:39,760 Speaker 1: vote frequently, and they have If you're looking at overall 423 00:22:39,840 --> 00:22:45,520 Speaker 1: demographic things, they have a lot of anti social behaviors 424 00:22:45,560 --> 00:22:49,240 Speaker 1: in the sense they don't attend churches or nonprofits, they 425 00:22:49,280 --> 00:22:51,600 Speaker 1: don't give to charity as much, they're less likely to 426 00:22:51,640 --> 00:22:55,639 Speaker 1: have many friends. All of these things are not great 427 00:22:55,760 --> 00:22:59,399 Speaker 1: for them their health and the health of the country. 428 00:22:59,440 --> 00:23:03,800 Speaker 1: And I want non college educated voters to be more engaged, 429 00:23:04,119 --> 00:23:06,320 Speaker 1: like you know, like myself. And that's a lot of 430 00:23:06,359 --> 00:23:10,919 Speaker 1: middle class behaviors come from those kinds of things, like 431 00:23:11,080 --> 00:23:17,320 Speaker 1: participation in things like church and nonprofits and groups, and 432 00:23:17,359 --> 00:23:20,400 Speaker 1: closeness to family. All of that stuff really doesn't matter. 433 00:23:20,440 --> 00:23:22,199 Speaker 1: Savings and all the rest of it. All that is 434 00:23:22,359 --> 00:23:26,160 Speaker 1: very tied together as far as race and education. How 435 00:23:26,160 --> 00:23:29,040 Speaker 1: they vote is race, religion, and gun ownership. Those are 436 00:23:29,040 --> 00:23:32,800 Speaker 1: the three biggest indicators. Gun ownership still huge indicator, race 437 00:23:33,040 --> 00:23:36,160 Speaker 1: less so because of the political realignment, it's becoming more 438 00:23:36,320 --> 00:23:41,320 Speaker 1: education than race related. But I will give you a 439 00:23:41,320 --> 00:23:44,359 Speaker 1: whole episode in California and I will talk all about 440 00:23:44,400 --> 00:23:45,840 Speaker 1: it and we will go into it. I will bring 441 00:23:45,920 --> 00:23:47,760 Speaker 1: experts on and that's what I will do for you, Patty. 442 00:23:48,000 --> 00:23:50,239 Speaker 1: We'll do it for a future episode. Okay, I have 443 00:23:50,359 --> 00:23:52,840 Speaker 1: one more segment I know I usually do and ask 444 00:23:52,880 --> 00:23:55,359 Speaker 1: me anything. Segment for the show for the last segment, 445 00:23:55,400 --> 00:23:58,239 Speaker 1: but that's kind of redundant since this whole episode has 446 00:23:58,240 --> 00:24:01,800 Speaker 1: been I have a very cool story about Nancy Pelosi's 447 00:24:01,840 --> 00:24:04,000 Speaker 1: daughter and me sharing a bus ride, which I will 448 00:24:04,000 --> 00:24:10,560 Speaker 1: share with you coming up next. Welcome back to our 449 00:24:10,600 --> 00:24:13,240 Speaker 1: final segment of this episode. Okay, So I have a 450 00:24:13,240 --> 00:24:15,880 Speaker 1: funny story that kind of crawl back in my memory 451 00:24:16,240 --> 00:24:17,320 Speaker 1: a while ago, and I was like, I got to 452 00:24:17,320 --> 00:24:19,480 Speaker 1: share this with the podcast. I've never talked about this 453 00:24:19,640 --> 00:24:23,119 Speaker 1: in real life. I was just like in conversation, but 454 00:24:23,160 --> 00:24:26,639 Speaker 1: never on like a show. In twenty thirteen, there's something 455 00:24:26,680 --> 00:24:29,240 Speaker 1: in New York called the megabus and basically, if you 456 00:24:29,320 --> 00:24:31,880 Speaker 1: booked a ride early enough, you could get a ride 457 00:24:31,880 --> 00:24:34,399 Speaker 1: from New York to DC for a dollar. And that 458 00:24:34,520 --> 00:24:36,359 Speaker 1: was like the enticing thing. And if you were broke 459 00:24:36,520 --> 00:24:38,320 Speaker 1: like I was in twenty thirteen. I don't know how 460 00:24:38,320 --> 00:24:40,640 Speaker 1: old I was, but I was definitely broken. Twenty thirteen, 461 00:24:41,000 --> 00:24:43,600 Speaker 1: you can get a cheap ride for a dollar to Washington, 462 00:24:43,640 --> 00:24:46,199 Speaker 1: d C. So I booked my ride. I think it 463 00:24:46,200 --> 00:24:48,240 Speaker 1: was like for five dollars. And I'm waiting on some 464 00:24:48,480 --> 00:24:51,600 Speaker 1: corner in Manhattan waiting for this bus to show up, 465 00:24:51,600 --> 00:24:54,439 Speaker 1: and this woman dressed all in purple, comes and stands 466 00:24:54,480 --> 00:24:57,240 Speaker 1: next to me and is just chatting my ear off, 467 00:24:57,280 --> 00:24:59,480 Speaker 1: asking how much I paid. I paid five dollars, she 468 00:24:59,600 --> 00:25:02,399 Speaker 1: paid nine dollars. Whatever it was. Her bicycle was just stolen. 469 00:25:02,720 --> 00:25:06,320 Speaker 1: She's heartbroken about this purple bicycle. I mean, just you know, 470 00:25:06,359 --> 00:25:08,360 Speaker 1: one of those times you're traveling and you don't want 471 00:25:08,400 --> 00:25:10,480 Speaker 1: to talk to anybody and you find someone who will 472 00:25:10,520 --> 00:25:14,359 Speaker 1: not stop talking to you. It was that. So the 473 00:25:14,359 --> 00:25:17,520 Speaker 1: bus arrives, we get on it, and she says to me, 474 00:25:17,720 --> 00:25:19,480 Speaker 1: what do you do for a living? And I said, 475 00:25:19,520 --> 00:25:22,320 Speaker 1: and I hate giving the correct answer, so usually I 476 00:25:22,400 --> 00:25:24,000 Speaker 1: just lie. But I didn't have the energy to make 477 00:25:24,040 --> 00:25:25,719 Speaker 1: up a lie like that. I was, you know, a 478 00:25:25,720 --> 00:25:27,960 Speaker 1: dermatologist or something, because if they asked me a real question, 479 00:25:28,040 --> 00:25:30,159 Speaker 1: I'm not going to know anything. I'll start singing the 480 00:25:30,200 --> 00:25:33,520 Speaker 1: song like the you know, the elbow bones connected to 481 00:25:33,520 --> 00:25:35,600 Speaker 1: the armbone. I have no idea. I literally don't know 482 00:25:35,760 --> 00:25:40,240 Speaker 1: about science anyway. So I say, work in politics. And 483 00:25:40,280 --> 00:25:43,360 Speaker 1: at this time, I am I am in ripped up jeans, 484 00:25:43,480 --> 00:25:47,040 Speaker 1: I am in flannel, I am in a I am 485 00:25:47,080 --> 00:25:50,080 Speaker 1: in a like hoodie. Uh no, I was in a 486 00:25:50,200 --> 00:25:53,399 Speaker 1: cart again, and I definitely look like a hipster. I 487 00:25:53,440 --> 00:25:56,719 Speaker 1: was giving off very hipster vibes and she said, oh, 488 00:25:56,720 --> 00:25:58,760 Speaker 1: what party? And I was like, all right, here you go. 489 00:25:59,080 --> 00:26:02,320 Speaker 1: I'm a Republican and she said, oh, you don't look 490 00:26:02,359 --> 00:26:04,320 Speaker 1: like a Republican. And I was like, well, my armband's 491 00:26:04,320 --> 00:26:06,159 Speaker 1: in the washing machine right now, so that's why you 492 00:26:06,160 --> 00:26:09,680 Speaker 1: can't recognize me. And she laughed and I said what 493 00:26:09,720 --> 00:26:11,480 Speaker 1: do you do? And she was, I'm a documentary filmmaker. 494 00:26:11,480 --> 00:26:13,320 Speaker 1: And I was like, oh, I watched those Alexander Pelosi 495 00:26:13,320 --> 00:26:18,080 Speaker 1: documentaries on HBO. She was, I'm Alexandra Pelosi. I was like, okay, 496 00:26:18,160 --> 00:26:21,040 Speaker 1: now I am dying to talk to you. The conversation 497 00:26:21,119 --> 00:26:25,200 Speaker 1: has just increased in interest by seven million percent. I 498 00:26:25,280 --> 00:26:27,480 Speaker 1: was like, what are you doing on a megabus going 499 00:26:27,520 --> 00:26:29,520 Speaker 1: to Washington, d C. And she was, I'm going to 500 00:26:29,520 --> 00:26:32,520 Speaker 1: go see the Anchorman two premiere at the Newseum with 501 00:26:32,600 --> 00:26:36,399 Speaker 1: my mom and her mom is it's Nancy Pelosi. Like 502 00:26:36,440 --> 00:26:40,159 Speaker 1: it's like, okay, this is interesting, and she's like, do 503 00:26:40,200 --> 00:26:42,359 Speaker 1: you like hate my mom? And I was like, no, no, 504 00:26:42,400 --> 00:26:44,399 Speaker 1: I don't hate anybody like. I mean, I don't agree 505 00:26:44,440 --> 00:26:46,480 Speaker 1: with her and stuff, but whatever. So I just started 506 00:26:46,520 --> 00:26:49,240 Speaker 1: talking to her, and she was like, fascinating woman because 507 00:26:49,280 --> 00:26:52,719 Speaker 1: she worked for NBC News for years before becoming a 508 00:26:52,760 --> 00:26:55,359 Speaker 1: documentary filmmaker. And I'm like, oh, this is the good gossip. 509 00:26:55,640 --> 00:26:57,240 Speaker 1: She says to me. This is a couple of good gusps. 510 00:26:57,240 --> 00:26:58,560 Speaker 1: But one thing she said to me, she was, you know, 511 00:26:58,640 --> 00:27:01,960 Speaker 1: I'm not one of my moms zombies. Those are the 512 00:27:02,000 --> 00:27:05,760 Speaker 1: exact words that she said to me. And I was like, oh, okay, 513 00:27:06,000 --> 00:27:08,920 Speaker 1: And I think I believe she said this, that one 514 00:27:08,960 --> 00:27:13,280 Speaker 1: of Nancy's children who lived in Texas was actually votes Republican. 515 00:27:13,359 --> 00:27:15,440 Speaker 1: I believe she said that. I don't think my memory 516 00:27:15,440 --> 00:27:19,640 Speaker 1: starts me wrong. The zombies thing definitely doesn't serve me wrong, 517 00:27:19,640 --> 00:27:23,200 Speaker 1: because I was shocked when she said it. Anyway, So 518 00:27:23,280 --> 00:27:25,920 Speaker 1: she says to me, I said, I was a writer too, 519 00:27:25,960 --> 00:27:27,920 Speaker 1: and she goes, would you want to read a screenplay 520 00:27:27,960 --> 00:27:31,360 Speaker 1: I'm working on? And she had made a documentary call 521 00:27:31,480 --> 00:27:34,840 Speaker 1: like on the Bus with George, about her time working 522 00:27:34,840 --> 00:27:37,840 Speaker 1: for NBC News with George W. Bush. So she hands 523 00:27:37,840 --> 00:27:40,840 Speaker 1: me her screenplay and I'm reading it right, and it's 524 00:27:40,880 --> 00:27:43,800 Speaker 1: about her relationship with her mother, and it's it's very good. 525 00:27:43,880 --> 00:27:46,240 Speaker 1: It was well written. She wanted she was there because 526 00:27:46,240 --> 00:27:48,720 Speaker 1: she wanted Will Farrow play George Bush in this movie 527 00:27:48,760 --> 00:27:50,240 Speaker 1: that I guess was never made because it was twelve 528 00:27:50,320 --> 00:27:54,520 Speaker 1: years ago. And she's she's going, I'm going through it. 529 00:27:54,520 --> 00:27:57,200 Speaker 1: There's a lot of personal stories about you know, mother 530 00:27:57,359 --> 00:28:01,199 Speaker 1: daughter relationship. And we started talking about her mom and 531 00:28:01,240 --> 00:28:03,040 Speaker 1: her relationship a little bit. I actually was like, I 532 00:28:03,040 --> 00:28:05,679 Speaker 1: didn't want to be like rude and be like, you know, 533 00:28:05,760 --> 00:28:08,560 Speaker 1: what's your mom think about Obamacare? But I was like, 534 00:28:09,040 --> 00:28:10,800 Speaker 1: I said, I was like, Oh, what's your mom's like 535 00:28:11,240 --> 00:28:15,000 Speaker 1: best Thanksgiving Day recipe that she cooks? And she said 536 00:28:15,040 --> 00:28:19,959 Speaker 1: she makes amazing homemade cranberry sauce. Anyway, well, we're on 537 00:28:20,000 --> 00:28:21,760 Speaker 1: the bus and she started telling me a story with 538 00:28:21,760 --> 00:28:24,160 Speaker 1: George W. Bush, and this was great. First, she said 539 00:28:24,160 --> 00:28:28,800 Speaker 1: that her mother personally enjoyed working with Bush more than Obama. 540 00:28:29,680 --> 00:28:32,919 Speaker 1: I mean because this is pre Trump. So she said, oh, 541 00:28:32,960 --> 00:28:35,840 Speaker 1: they had. She really enjoyed working with Bush. She liked 542 00:28:35,920 --> 00:28:37,560 Speaker 1: him a lot as a person. She didn't have the 543 00:28:37,600 --> 00:28:43,120 Speaker 1: same enjoyment of working with Obama. Secondly, she tells me 544 00:28:43,200 --> 00:28:46,840 Speaker 1: a story that when she was working at MBC, she 545 00:28:47,040 --> 00:28:49,440 Speaker 1: was with she was dating a guy I want to 546 00:28:49,480 --> 00:28:51,760 Speaker 1: say from ABC, but in my CBS, but she was 547 00:28:51,840 --> 00:28:54,719 Speaker 1: dating another producer or person who worked behind the scenes, 548 00:28:55,200 --> 00:28:58,600 Speaker 1: and they were both on the media bus together in 549 00:28:58,840 --> 00:29:01,880 Speaker 1: for the George covering the George W. Bush campaign. And 550 00:29:02,200 --> 00:29:06,080 Speaker 1: they went to a roadside stop somewhere in the Midwest 551 00:29:06,160 --> 00:29:08,640 Speaker 1: or you know, I don't know what state was, Iowa, Pennsylvania, pick, 552 00:29:08,720 --> 00:29:11,520 Speaker 1: you know, take your pick, and they're covering it, and 553 00:29:11,560 --> 00:29:13,320 Speaker 1: they're at a gas station. They're all getting food and 554 00:29:13,360 --> 00:29:16,080 Speaker 1: going to the bathroom. And George W. Bush, who, by 555 00:29:16,080 --> 00:29:17,400 Speaker 1: the way, I am no fan of, but this is 556 00:29:17,440 --> 00:29:21,320 Speaker 1: a cool freaking story. George W. Bush pulled her aside 557 00:29:21,720 --> 00:29:24,200 Speaker 1: and he said to her, I want you to know 558 00:29:24,360 --> 00:29:27,560 Speaker 1: your boyfriend is cheating on you and every person on 559 00:29:27,600 --> 00:29:30,840 Speaker 1: the bus nose besides you. And she said to me, 560 00:29:30,960 --> 00:29:37,280 Speaker 1: I will always respect that man, because I was so 561 00:29:37,600 --> 00:29:40,560 Speaker 1: head over heels from my boyfriend and everyone was lying 562 00:29:40,600 --> 00:29:42,520 Speaker 1: to me, and he was the only one with the 563 00:29:42,680 --> 00:29:44,640 Speaker 1: guts to sit there and tell me the truth. And 564 00:29:44,680 --> 00:29:46,880 Speaker 1: she said, I think it's because he's the dad of 565 00:29:46,960 --> 00:29:50,200 Speaker 1: two girls, but he had he was such a stand 566 00:29:50,240 --> 00:29:52,840 Speaker 1: up guy to her, and that was a really cool story. 567 00:29:53,240 --> 00:29:55,800 Speaker 1: And we shared the bus ride for the whole four 568 00:29:55,840 --> 00:29:57,960 Speaker 1: and a half five hours and we got off and 569 00:29:58,000 --> 00:30:00,000 Speaker 1: we exchanged emails and she never came on me back 570 00:30:01,200 --> 00:30:04,000 Speaker 1: story of my life. I did run into her husband 571 00:30:04,000 --> 00:30:06,760 Speaker 1: a couple of years later, and I recounted how nice 572 00:30:06,800 --> 00:30:10,800 Speaker 1: she was. She was very, very, very nice, but she 573 00:30:10,960 --> 00:30:12,960 Speaker 1: was interesting and that was a cool story, a little 574 00:30:13,120 --> 00:30:16,360 Speaker 1: tidbit of somebody in the political public eye. Anyway, thank 575 00:30:16,400 --> 00:30:18,400 Speaker 1: you again for listening to this episode of the podcast. 576 00:30:18,440 --> 00:30:20,600 Speaker 1: Tune in on Thursday. I'll be back. We'll have a 577 00:30:20,640 --> 00:30:23,840 Speaker 1: regular episode more ask Me Anything segments on the end 578 00:30:23,880 --> 00:30:26,480 Speaker 1: of the podcast. But thank you. Please like and subscribe 579 00:30:26,520 --> 00:30:29,640 Speaker 1: on the iHeartRadio app, Apple podcast, wherever you get your podcast. 580 00:30:29,880 --> 00:30:34,440 Speaker 1: I will see you guys on Thursday.