1 00:00:01,080 --> 00:00:03,320 Speaker 1: Welcome back to a Numbers game with Ryan Grodowski. I'm 2 00:00:03,360 --> 00:00:05,960 Speaker 1: your host and very happy to be here. I hope 3 00:00:05,960 --> 00:00:08,760 Speaker 1: you enjoyed my conversation with Alex Thompson on his book 4 00:00:08,800 --> 00:00:11,960 Speaker 1: Original Sin that came out on Monday. I was excited 5 00:00:12,000 --> 00:00:14,520 Speaker 1: because I was one of only two conservatives to get 6 00:00:14,560 --> 00:00:17,079 Speaker 1: an interview about the book the first week it came out, 7 00:00:17,200 --> 00:00:19,640 Speaker 1: so that was that was great. If you didn't catch 8 00:00:19,640 --> 00:00:21,960 Speaker 1: the episode, it came out Memorial Day, so you can 9 00:00:22,000 --> 00:00:25,799 Speaker 1: listen on whatever streaming platform you're on. I took part 10 00:00:25,880 --> 00:00:29,280 Speaker 1: in a debate on Tuesday for the group Young Voices. 11 00:00:29,320 --> 00:00:32,880 Speaker 1: I debated Michael Tracy on the Trump administration's first four 12 00:00:32,920 --> 00:00:35,840 Speaker 1: months and if the America First Agenda was a net 13 00:00:35,840 --> 00:00:40,120 Speaker 1: positive for Americans economic prosperity, security, and civil liberties. Was 14 00:00:40,120 --> 00:00:42,520 Speaker 1: an Oxford style debate, so I couldn't like tell jokes 15 00:00:42,560 --> 00:00:45,720 Speaker 1: in a little bit. It's very serious. But the audience 16 00:00:45,800 --> 00:00:49,680 Speaker 1: voted before and after whose minds had changed most people 17 00:00:49,680 --> 00:00:51,760 Speaker 1: and I won, which was exciting because the room was 18 00:00:51,760 --> 00:00:55,360 Speaker 1: like mostly libertarians and liberals, so arguing in favor of 19 00:00:56,040 --> 00:00:59,840 Speaker 1: tariffs and mass deportation not the easiest thing to do, 20 00:01:00,760 --> 00:01:03,040 Speaker 1: but I won, so I was excited, And if you 21 00:01:03,080 --> 00:01:06,200 Speaker 1: want to watch debate, it's somewhere onlines on social media somewhere. 22 00:01:06,200 --> 00:01:09,520 Speaker 1: I think it's on x and you can go to 23 00:01:09,600 --> 00:01:12,080 Speaker 1: Young Voices or my Twitter account and you can watch 24 00:01:12,120 --> 00:01:15,680 Speaker 1: the full debate. It's a little boring. Michael Tracy talked 25 00:01:15,720 --> 00:01:19,040 Speaker 1: about Israel, but you know whatever, I kept it. It 26 00:01:19,120 --> 00:01:22,039 Speaker 1: kept it to the numbers because that's what I'm interested in. 27 00:01:22,600 --> 00:01:25,920 Speaker 1: So there are two big number data things that were 28 00:01:25,959 --> 00:01:29,360 Speaker 1: out this week that I want to talk to listeners about. 29 00:01:29,400 --> 00:01:32,000 Speaker 1: It's a solo episode, but I think there's a lot 30 00:01:32,080 --> 00:01:33,840 Speaker 1: of data heavy stuff that really it would be hard 31 00:01:33,880 --> 00:01:36,000 Speaker 1: to find a guest who was as interested in as 32 00:01:36,040 --> 00:01:39,000 Speaker 1: I was. So the first is this map that came 33 00:01:39,040 --> 00:01:41,120 Speaker 1: out from the New York Times over the week, The 34 00:01:41,120 --> 00:01:43,800 Speaker 1: New York Times tracked every county in the country and 35 00:01:43,840 --> 00:01:47,480 Speaker 1: how it moved towards Republicans while Trump was the nominee 36 00:01:47,520 --> 00:01:50,559 Speaker 1: in the last three elections compared to twenty twelve, and 37 00:01:50,680 --> 00:01:54,680 Speaker 1: how counties moved in the last three elections towards Democrats since 38 00:01:54,840 --> 00:01:58,080 Speaker 1: Trump became the nominee. So their triple red or triple 39 00:01:58,160 --> 00:02:01,640 Speaker 1: blue counties, That's how I'm describing them, right Triple Red 40 00:02:01,680 --> 00:02:04,600 Speaker 1: being they moved towards Trump more and every single election. 41 00:02:04,760 --> 00:02:07,600 Speaker 1: Triple Blue is obviously moved away from Trump and towards 42 00:02:07,680 --> 00:02:11,880 Speaker 1: Democrats and every election. Okay, all told, there were one thousand, 43 00:02:12,080 --> 00:02:15,280 Speaker 1: four hundred and thirty three counties that moved to the 44 00:02:15,400 --> 00:02:18,600 Speaker 1: right in every one of the last three elections. Now, 45 00:02:18,639 --> 00:02:21,800 Speaker 1: remember there are only three thousand, one hundred and forty 46 00:02:21,800 --> 00:02:25,000 Speaker 1: three counties total in the country. So Trump increased his 47 00:02:25,040 --> 00:02:28,959 Speaker 1: support in every election in forty five percent of all 48 00:02:29,000 --> 00:02:32,519 Speaker 1: the counties in the country. Democrats, on the other hand, 49 00:02:32,639 --> 00:02:37,119 Speaker 1: only had a continual gain in fifty seven counties. Now, 50 00:02:37,160 --> 00:02:39,840 Speaker 1: obviously we know that all counties aren't made equal rights. 51 00:02:39,840 --> 00:02:43,600 Speaker 1: Some are more populated, some are wealthier, whiter, blacker, more Hispanic, 52 00:02:43,639 --> 00:02:48,480 Speaker 1: more working class, whatever. But that is wild. That is 53 00:02:48,520 --> 00:02:55,160 Speaker 1: a huge, huge difference in general trajection from one party 54 00:02:55,240 --> 00:02:59,240 Speaker 1: the other. Average Triple blue county, right, the average county 55 00:02:59,240 --> 00:03:01,200 Speaker 1: that moved away from Trump and last three elections, the 56 00:03:01,240 --> 00:03:05,239 Speaker 1: average blue county had an average population of one hundred 57 00:03:05,280 --> 00:03:09,200 Speaker 1: and forty two thousand people. The average Triple red county 58 00:03:09,720 --> 00:03:14,080 Speaker 1: was just shy of thirty thousand. So Trump gained much 59 00:03:14,200 --> 00:03:19,040 Speaker 1: more in rural and exurban Americans parts of America, while 60 00:03:19,080 --> 00:03:24,040 Speaker 1: Democrats gained primarily in suburbs, not cities. Suburbs. It's very 61 00:03:24,080 --> 00:03:29,280 Speaker 1: important difference. What is interesting about the triple red counties 62 00:03:29,320 --> 00:03:34,400 Speaker 1: are where they exist in urban areas. They're all triple red. 63 00:03:34,639 --> 00:03:38,760 Speaker 1: They're all triple they all went towards Trump three consecutive elections. 64 00:03:39,200 --> 00:03:44,840 Speaker 1: No major urban areas went more blue since twenty twelve, 65 00:03:45,040 --> 00:03:48,960 Speaker 1: not one. That's a very big thing because in some 66 00:03:49,040 --> 00:03:52,400 Speaker 1: of the most some of the largest areas of this country, 67 00:03:52,600 --> 00:03:56,360 Speaker 1: the counties that have the largest cities. Shit, Okay, what's 68 00:03:56,400 --> 00:04:00,600 Speaker 1: interesting is that these triple red counties where gained in 69 00:04:00,640 --> 00:04:02,920 Speaker 1: these urban areas. They have some of our biggest cities. 70 00:04:03,200 --> 00:04:07,920 Speaker 1: So Miami Dade County, home of obviously Miami, Bark County, Nevada, 71 00:04:08,040 --> 00:04:11,080 Speaker 1: the home of Las Vegas, Honolulu County obviously the home 72 00:04:11,120 --> 00:04:15,120 Speaker 1: of Honolulu, Cuyahoga County, the home of Cleveland. Philadelphia County, 73 00:04:15,280 --> 00:04:18,520 Speaker 1: which is the home of obviously Philadelphia, and several of 74 00:04:18,560 --> 00:04:22,200 Speaker 1: the boroughs of New York City, including my own Queens Brooklyn, 75 00:04:22,279 --> 00:04:26,880 Speaker 1: and the Bronx all were triple read. They'd all moved 76 00:04:27,160 --> 00:04:31,080 Speaker 1: more Republican election over election. So what does this tell 77 00:04:31,160 --> 00:04:37,440 Speaker 1: US the rural and exurban counties that moved consecutively. That is, 78 00:04:37,480 --> 00:04:41,920 Speaker 1: the white working class getting closer and closer towards Saddam 79 00:04:42,000 --> 00:04:45,640 Speaker 1: Hussein level of support for Donald Trump. Right we're approaching 80 00:04:46,320 --> 00:04:50,280 Speaker 1: the seventy eighty in some parts of West Texas, for example, 81 00:04:50,480 --> 00:04:55,880 Speaker 1: ninety percent support for Donald Trump among white working class voters. 82 00:04:56,400 --> 00:04:59,440 Speaker 1: But in the cities primarily now there's some rural areas 83 00:04:59,480 --> 00:05:02,680 Speaker 1: that are already around the Mississippi Delta and the Texas 84 00:05:03,240 --> 00:05:06,360 Speaker 1: border with Mexico. The majority Hispanic or majority Black book 85 00:05:06,360 --> 00:05:09,960 Speaker 1: for the most part, where the growth came from from 86 00:05:10,040 --> 00:05:14,200 Speaker 1: minorities was in these city centers, these urban areas, these 87 00:05:14,240 --> 00:05:17,400 Speaker 1: big urban areas and like New York City that are 88 00:05:17,440 --> 00:05:20,960 Speaker 1: growing leaps and bounds towards Republicans. The New York Times 89 00:05:21,040 --> 00:05:23,840 Speaker 1: put this data out, and I think listeners should hear 90 00:05:23,880 --> 00:05:27,919 Speaker 1: this part. All told, one hundred and thirty five counties 91 00:05:28,000 --> 00:05:31,240 Speaker 1: voted more Democrat in twenty twenty four than they did 92 00:05:31,320 --> 00:05:34,800 Speaker 1: in twenty twelve by an average of eight point eight percent. 93 00:05:35,520 --> 00:05:40,279 Speaker 1: Two thousand, six hundred and seventy eight counties became more 94 00:05:40,279 --> 00:05:44,359 Speaker 1: Republican by an average of thirteen point three percent. That's 95 00:05:44,480 --> 00:05:47,400 Speaker 1: six times as many counties that moved towards the GOP 96 00:05:47,520 --> 00:05:50,800 Speaker 1: that moved towards the Democratic Party, and by a substantially 97 00:05:51,040 --> 00:05:55,880 Speaker 1: wider margin. The erosion of the working class support among black, white, 98 00:05:56,080 --> 00:06:00,880 Speaker 1: and Latino voters alike has unnerved every ideological wing of 99 00:06:00,960 --> 00:06:05,039 Speaker 1: the Democratic Party. This is why if you listen to 100 00:06:05,040 --> 00:06:06,880 Speaker 1: a lot of lefty podcasts, I know most of my 101 00:06:06,920 --> 00:06:10,440 Speaker 1: audients probably doesn't I do. I have a sick obsession 102 00:06:10,480 --> 00:06:13,760 Speaker 1: to hear what liberals are talking about. There's a lot 103 00:06:13,800 --> 00:06:17,920 Speaker 1: of conversation outside, like out besides the bulwark, which is 104 00:06:18,000 --> 00:06:20,640 Speaker 1: just constantly like Trump has owned this week, but the 105 00:06:20,720 --> 00:06:25,159 Speaker 1: rest of the conversation around smart liberals is where are 106 00:06:25,160 --> 00:06:27,440 Speaker 1: we going as a party? What are we doing? This 107 00:06:28,120 --> 00:06:33,240 Speaker 1: frantic search for an identity and a leader is because 108 00:06:33,760 --> 00:06:37,359 Speaker 1: these numbers are I think that when now that the 109 00:06:37,400 --> 00:06:41,599 Speaker 1: election is far out and people can do solid data 110 00:06:41,680 --> 00:06:45,400 Speaker 1: reporting based upon the voter file, it's far worse than 111 00:06:45,440 --> 00:06:49,719 Speaker 1: people even imagined. Because it's a trend. It's not a 112 00:06:49,800 --> 00:06:52,440 Speaker 1: one off. It's not like, oh, twenty twenty four happened, 113 00:06:52,760 --> 00:06:55,080 Speaker 1: but twenty twenty and twenty sixteen didn't know. These things 114 00:06:55,120 --> 00:07:00,200 Speaker 1: are continuing, They're moving in this direction, and yes, Trump 115 00:07:00,200 --> 00:07:02,039 Speaker 1: will be on the ticket in twenty twenty eight, but 116 00:07:03,320 --> 00:07:06,560 Speaker 1: it's a sign of where we are going. Trump not 117 00:07:06,640 --> 00:07:10,920 Speaker 1: only one major gains in Hispanic areas, as everyone knows, 118 00:07:10,960 --> 00:07:14,120 Speaker 1: and Decision Desk, this website, Decision Desk, they put out 119 00:07:14,120 --> 00:07:18,800 Speaker 1: a report that actually Trump won a majority of Hispanics 120 00:07:18,800 --> 00:07:24,000 Speaker 1: in sixteen states, but more counties with a black voter 121 00:07:24,280 --> 00:07:28,760 Speaker 1: majority shifted towards Republicans in each of the last fifty 122 00:07:28,800 --> 00:07:31,400 Speaker 1: three sorry, in each of the last three elections than 123 00:07:31,440 --> 00:07:34,400 Speaker 1: the total number of counties nationwide that trended towards Democrats. 124 00:07:34,680 --> 00:07:39,520 Speaker 1: Fifty eight counties that are black majority trended towards Republicans, 125 00:07:39,760 --> 00:07:44,240 Speaker 1: fifty seven counties that are black majority trended towards Democrats. 126 00:07:45,280 --> 00:07:48,000 Speaker 1: That is a number that is somebody who's been filling 127 00:07:48,040 --> 00:07:50,960 Speaker 1: politics in two thousand and eight. I probably never would 128 00:07:51,000 --> 00:07:53,200 Speaker 1: have believed that was a substantial thing that was going on. 129 00:07:53,280 --> 00:07:58,280 Speaker 1: But it's happening a lot in rural black counties in 130 00:07:58,320 --> 00:08:01,680 Speaker 1: this country. And I will tell you guys a story. 131 00:08:01,760 --> 00:08:03,680 Speaker 1: It seems kind of like doesn't make any sense, but 132 00:08:03,840 --> 00:08:08,440 Speaker 1: it does. During Stacy Abrams' first run for governor in 133 00:08:08,520 --> 00:08:11,600 Speaker 1: twenty eighteen, I was like, my first time really in 134 00:08:11,640 --> 00:08:16,920 Speaker 1: Georgia for any long period of time, and I passed 135 00:08:16,960 --> 00:08:22,400 Speaker 1: somebody who a rural, you know, Georgian. It was not 136 00:08:22,560 --> 00:08:25,720 Speaker 1: a big area. I was in South Georgia and he 137 00:08:25,800 --> 00:08:28,800 Speaker 1: had a Brian Kemp sign and I said to him, 138 00:08:29,080 --> 00:08:32,319 Speaker 1: why are you voting for Brian Kemp? And he said, no, 139 00:08:32,559 --> 00:08:36,520 Speaker 1: fat lesbian from Atlanta is going to take away my gun. 140 00:08:36,920 --> 00:08:41,240 Speaker 1: I know, obviously that's really funny and shocking, but I 141 00:08:41,280 --> 00:08:46,440 Speaker 1: could not believe his identification as a voter, which for 142 00:08:46,600 --> 00:08:49,640 Speaker 1: so often for black voters in the country, was based 143 00:08:49,679 --> 00:08:53,000 Speaker 1: on race, for him, in this very brief conversation I had, 144 00:08:53,240 --> 00:08:56,640 Speaker 1: was based on ideology and specifically gun rights. A lot 145 00:08:56,679 --> 00:09:00,520 Speaker 1: of rural blacks in this country are gun owners, and 146 00:09:00,880 --> 00:09:03,760 Speaker 1: they are culturally much more like a Republican than they 147 00:09:03,760 --> 00:09:05,840 Speaker 1: are like a Democrat, even though a majority still votes 148 00:09:05,960 --> 00:09:08,679 Speaker 1: for the Democratic Party. But it's clearly breaking. This is 149 00:09:08,920 --> 00:09:12,640 Speaker 1: in the last election, Republicans gained ground in one hundred 150 00:09:12,720 --> 00:09:17,520 Speaker 1: and ninety three of the country's two hundred most predominantly 151 00:09:17,559 --> 00:09:22,320 Speaker 1: black counties. Think about that, ninety three of the two 152 00:09:22,480 --> 00:09:26,520 Speaker 1: hundred most predominantly black counties. This is the base. This 153 00:09:26,679 --> 00:09:29,280 Speaker 1: is the heartbeat of the Democratic Party. They are not 154 00:09:29,400 --> 00:09:33,000 Speaker 1: a party without majority black support, and not even majority. 155 00:09:33,320 --> 00:09:36,240 Speaker 1: They are not at party a functioning party without eighty 156 00:09:36,280 --> 00:09:40,320 Speaker 1: five to ninety percent majority Black support. If that ever 157 00:09:40,320 --> 00:09:43,920 Speaker 1: slips to seventy percent, call it a night they cannot win. 158 00:09:44,160 --> 00:09:45,840 Speaker 1: Or if blacks just don't turn out like they didn't 159 00:09:45,760 --> 00:09:49,160 Speaker 1: in the last election because they're not energized by a candidate, 160 00:09:49,160 --> 00:09:52,640 Speaker 1: because they don't perceive them as being authentic for whatever reason. 161 00:09:53,640 --> 00:09:56,160 Speaker 1: Of the sixty seven counties in America with a majority 162 00:09:56,520 --> 00:10:01,160 Speaker 1: Hispanic population, guess how many voted more Republican in twenty 163 00:10:01,160 --> 00:10:05,760 Speaker 1: twenty four than twenty twelve. Sixty six sixty six of 164 00:10:05,920 --> 00:10:10,400 Speaker 1: sixty seven counties. Even more, according to nd Times, even 165 00:10:10,400 --> 00:10:13,200 Speaker 1: more arresting is the average swing towards a GOP in 166 00:10:13,240 --> 00:10:18,840 Speaker 1: those sixty six Hispanic majority counties was twenty three percentage points, 167 00:10:18,880 --> 00:10:22,640 Speaker 1: a political earthquake with which both parties are still coming 168 00:10:22,760 --> 00:10:27,080 Speaker 1: to terms d three points. With black with black majority counties, 169 00:10:27,080 --> 00:10:31,280 Speaker 1: it was two three. Listen, we'll take it whatever. Three. 170 00:10:31,720 --> 00:10:34,680 Speaker 1: If that happened, If that kind of switch happened for 171 00:10:34,800 --> 00:10:37,480 Speaker 1: working class white voters towards the Democratic parties at the 172 00:10:37,520 --> 00:10:41,679 Speaker 1: Republican Party, it would be a nineteen sixty four style 173 00:10:42,160 --> 00:10:47,080 Speaker 1: landslide election for the Democrats. Of the triple Red counties, 174 00:10:47,400 --> 00:10:52,120 Speaker 1: ninety five percent had immediate income below thousand dollars a year. 175 00:10:52,240 --> 00:10:54,240 Speaker 1: They were earning less than eighty thousand dollars a year, 176 00:10:54,240 --> 00:10:56,319 Speaker 1: which is the immediate income for the whole country. Seventy 177 00:10:56,400 --> 00:10:59,120 Speaker 1: five percent of the triple blue counties head to meet 178 00:10:59,120 --> 00:11:05,800 Speaker 1: income higher than an African national average. Haitian and wealth 179 00:11:06,559 --> 00:11:09,720 Speaker 1: are the political dividers of the future. It is not 180 00:11:09,880 --> 00:11:12,680 Speaker 1: so much race, which it has been in our country 181 00:11:13,600 --> 00:11:19,319 Speaker 1: since I don't know in in ten, nineteen, twelve hundred years, 182 00:11:19,360 --> 00:11:24,000 Speaker 1: one hundred years of race being the deciding factor in 183 00:11:24,080 --> 00:11:26,880 Speaker 1: how you support somebody will now be replaced by education 184 00:11:27,480 --> 00:11:33,640 Speaker 1: and income, and it means a world of difference in 185 00:11:33,720 --> 00:11:39,000 Speaker 1: the country. You'll start seeing places like Kansas and Nebraska 186 00:11:39,120 --> 00:11:41,960 Speaker 1: get bluer and bluer and bluer, and you will start 187 00:11:42,000 --> 00:11:45,880 Speaker 1: seeing places like California and New York and New Jersey 188 00:11:46,160 --> 00:11:50,880 Speaker 1: get redder and redder. And I don't think people are 189 00:11:51,320 --> 00:11:56,800 Speaker 1: understand that that movement is happening. Education is increasingly becoming 190 00:11:56,880 --> 00:12:00,360 Speaker 1: a more likely predictor of voting habits than race, about 191 00:12:00,360 --> 00:12:03,640 Speaker 1: a college degree, more than your skin tone and your 192 00:12:03,679 --> 00:12:06,680 Speaker 1: skin color. So the big question I want to present 193 00:12:06,720 --> 00:12:12,040 Speaker 1: to my audience is this, what can this continue, especially 194 00:12:12,080 --> 00:12:16,000 Speaker 1: in a Trump free in a post Trump world, the 195 00:12:16,000 --> 00:12:20,240 Speaker 1: Trump free Republican Party. I mean, obviously they'll all like him, 196 00:12:20,240 --> 00:12:23,320 Speaker 1: but he won't be on the ticket. That's the big question. 197 00:12:23,559 --> 00:12:28,200 Speaker 1: In my opinion, it can, but it's not definite, not 198 00:12:28,280 --> 00:12:30,640 Speaker 1: in the way the Republican Party is made up in 199 00:12:30,760 --> 00:12:32,679 Speaker 1: DC right now. I spend a lot of time in 200 00:12:32,720 --> 00:12:34,760 Speaker 1: the Capitol. I spend a lot of time members of Congress. 201 00:12:34,800 --> 00:12:37,960 Speaker 1: I've been there for more years than I care to remember. 202 00:12:39,320 --> 00:12:43,280 Speaker 1: And for the most part, they're still naked ideologues. They're 203 00:12:43,320 --> 00:12:47,120 Speaker 1: holding onto a Republican Party in many senses that they 204 00:12:47,160 --> 00:12:50,120 Speaker 1: grew up with from decades past. They are not living 205 00:12:50,640 --> 00:12:54,600 Speaker 1: in today's world. You know, Yes, they support President Trump, 206 00:12:54,640 --> 00:12:56,680 Speaker 1: they like a lot of agenda. They own a MAGA hat. 207 00:12:56,720 --> 00:13:00,000 Speaker 1: They put their make America Great bumper sticker over there, 208 00:13:00,000 --> 00:13:03,439 Speaker 1: George Bush, Mitt Romney, John McCain bumber sticker. But if 209 00:13:03,440 --> 00:13:04,960 Speaker 1: you were to wake them up at three o'clock in 210 00:13:05,000 --> 00:13:07,200 Speaker 1: the morning and water bore them until they announce what 211 00:13:07,240 --> 00:13:10,000 Speaker 1: they actually believed in. It will look a lot more 212 00:13:10,040 --> 00:13:15,000 Speaker 1: like Mitt Romney than Donald Trump. And maybe they've gotten 213 00:13:15,040 --> 00:13:17,960 Speaker 1: more aggressive on issues like illegal immigration, But on trade, 214 00:13:18,000 --> 00:13:20,640 Speaker 1: do you think any of them support tariffs? Really? What 215 00:13:20,720 --> 00:13:24,839 Speaker 1: about a millionaire's tax like President Trump suggested but didn't get, 216 00:13:25,000 --> 00:13:27,719 Speaker 1: or earn closing of the earn interest loophole which he 217 00:13:27,760 --> 00:13:30,600 Speaker 1: didn't get. How about paid maternity leave, which he's talked 218 00:13:30,600 --> 00:13:32,880 Speaker 1: about for five years, has never got it, never gotten 219 00:13:32,920 --> 00:13:35,680 Speaker 1: close to it. What about cutting some spending to the Pentagon, 220 00:13:35,720 --> 00:13:39,120 Speaker 1: which is refusing to meet an audit and is rippled 221 00:13:39,160 --> 00:13:42,079 Speaker 1: with misappropriated funds. How about cutting any money to them 222 00:13:42,120 --> 00:13:45,720 Speaker 1: or holding them accountable? Probably not? What about the Raise Act, 223 00:13:45,760 --> 00:13:48,600 Speaker 1: which would have reduced legal immigration by fifty percent? What 224 00:13:48,600 --> 00:13:51,240 Speaker 1: about any reduction to legal immigration which a majority of 225 00:13:51,280 --> 00:13:56,160 Speaker 1: Republican voters want. Maybe you'd get two dozen of the 226 00:13:56,679 --> 00:13:59,920 Speaker 1: two hundred plus members. Maybe two dozen if you're like, 227 00:14:00,720 --> 00:14:04,160 Speaker 1: I'll tell you one story. I was in and off 228 00:14:04,200 --> 00:14:08,439 Speaker 1: the record congressional event. This is in twenty twenty on 229 00:14:09,040 --> 00:14:11,599 Speaker 1: and Biden's in the White House. Maybe it was in 230 00:14:11,640 --> 00:14:15,440 Speaker 1: twenty twenty two. The Ukraine War had just started, Zelensky 231 00:14:15,440 --> 00:14:18,160 Speaker 1: had just come to Congress to go and speak to, 232 00:14:18,679 --> 00:14:21,200 Speaker 1: you know, the Congress basically asking for endless support for 233 00:14:21,360 --> 00:14:24,040 Speaker 1: the war in Ukraine. And I, you know, I understand 234 00:14:24,080 --> 00:14:25,520 Speaker 1: the feeling that you should be on the side of 235 00:14:25,520 --> 00:14:27,800 Speaker 1: the Ukrainian people, especially in this time, and you know, 236 00:14:27,920 --> 00:14:31,800 Speaker 1: wanting to help out a country that was being invaded. 237 00:14:32,280 --> 00:14:36,400 Speaker 1: Totally understand that. I totally get that the level at 238 00:14:36,440 --> 00:14:44,240 Speaker 1: which these congressmen were hungry to support a war was 239 00:14:44,280 --> 00:14:49,720 Speaker 1: strange to me. They had no idea at which the 240 00:14:49,720 --> 00:14:53,040 Speaker 1: place Americans were and how war we were, where we were, 241 00:14:53,440 --> 00:14:56,680 Speaker 1: how much Americans, especially when whole Republican voters were tired 242 00:14:56,720 --> 00:14:59,160 Speaker 1: of being the world's policemen, tired of being the world's 243 00:14:59,160 --> 00:15:02,440 Speaker 1: piggy bank, felt that we were being taken advantage of. 244 00:15:02,800 --> 00:15:07,120 Speaker 1: Didn't understand it at all whatsoever. One congressman, I will 245 00:15:07,160 --> 00:15:09,480 Speaker 1: never forget this, stood up in front of the entire 246 00:15:09,600 --> 00:15:11,880 Speaker 1: group of other congressmen and said that he wanted to 247 00:15:11,880 --> 00:15:15,600 Speaker 1: put a bust of Zelenski in the capitol of Rotunda, 248 00:15:15,680 --> 00:15:19,320 Speaker 1: our capital which has nothing to do with Ukraine, next 249 00:15:19,360 --> 00:15:22,840 Speaker 1: to a statue of Winston Churchill, who was our ally 250 00:15:22,920 --> 00:15:25,160 Speaker 1: to defeat the Nazis, because he said he's the most 251 00:15:25,200 --> 00:15:31,200 Speaker 1: Churchillian figure in the world right now, completely and utterly 252 00:15:31,720 --> 00:15:35,520 Speaker 1: out of touch. There aren't enough people in DC that 253 00:15:35,560 --> 00:15:38,360 Speaker 1: reflect the voters. And I'm not talking about like someone's 254 00:15:38,440 --> 00:15:41,320 Speaker 1: race and how they look, or gender or religion or whatnot. 255 00:15:41,400 --> 00:15:45,080 Speaker 1: I'm talking about life experience too. Many of these people 256 00:15:45,200 --> 00:15:49,480 Speaker 1: come from money, have never spent a true day as 257 00:15:49,520 --> 00:15:52,560 Speaker 1: an adult as a member of the working class. They 258 00:15:52,800 --> 00:15:55,560 Speaker 1: don't have staff who have there. Try to get a 259 00:15:55,560 --> 00:15:58,240 Speaker 1: staffing job without a college degree. I mean I've met 260 00:15:58,280 --> 00:16:01,440 Speaker 1: maybe four people ever was a staff or without without 261 00:16:01,440 --> 00:16:08,000 Speaker 1: a college degree. They live in places that are walled 262 00:16:08,040 --> 00:16:13,760 Speaker 1: off from the working class experience, and the consulting class 263 00:16:13,840 --> 00:16:17,000 Speaker 1: who advises them nine times out of ten has distain 264 00:16:17,080 --> 00:16:20,200 Speaker 1: for the voter. They've total disdain for the Republican voter. 265 00:16:20,480 --> 00:16:24,680 Speaker 1: They don't understand their feelings on issues at all. And 266 00:16:24,720 --> 00:16:26,480 Speaker 1: don't even get me sorry them about the lobbyists and 267 00:16:26,480 --> 00:16:30,640 Speaker 1: about you know, the Chamber of Commerce and these other 268 00:16:30,760 --> 00:16:35,920 Speaker 1: organizations in DC who pedal endless immigration and promoting war 269 00:16:36,080 --> 00:16:41,400 Speaker 1: and NonStop tax cuts and just things that can be 270 00:16:41,440 --> 00:16:45,360 Speaker 1: good at times, but it is their only ideology, is 271 00:16:45,400 --> 00:16:50,720 Speaker 1: their only worldview. They are only pushing towards one thing. Anyway, 272 00:16:51,040 --> 00:16:52,760 Speaker 1: we have a long way to go as a party, 273 00:16:52,800 --> 00:16:57,520 Speaker 1: I think, to reflect what the voters want, which means 274 00:16:57,800 --> 00:17:01,000 Speaker 1: until we do them, voters will become more extreme in 275 00:17:01,080 --> 00:17:04,000 Speaker 1: their demands because they feel like they're not being met. 276 00:17:04,880 --> 00:17:07,200 Speaker 1: That's my opinion on that. But the data is very 277 00:17:07,200 --> 00:17:10,560 Speaker 1: interesting and very very important. There's one other data story 278 00:17:10,560 --> 00:17:14,200 Speaker 1: that came out this week, very important most people in 279 00:17:14,200 --> 00:17:15,880 Speaker 1: the media. Actually, I haven't seen anyone in the media 280 00:17:15,920 --> 00:17:18,960 Speaker 1: acknowledge it yet, but it's about who we are as 281 00:17:18,960 --> 00:17:21,840 Speaker 1: a country, what we believe, and I'm going to cover 282 00:17:21,920 --> 00:17:23,720 Speaker 1: it so that way you could hear about it first. 283 00:17:23,840 --> 00:17:29,639 Speaker 1: Stay tuned right for these messages. The General Social Survey, 284 00:17:29,680 --> 00:17:32,280 Speaker 1: which has been around since nineteen seventy two, was created 285 00:17:32,320 --> 00:17:36,040 Speaker 1: by the University of Chicago and the National Opinion Research Center. 286 00:17:36,359 --> 00:17:39,399 Speaker 1: The GSS is a big amount of data that comes 287 00:17:39,400 --> 00:17:42,320 Speaker 1: out every other year, so it comes out twenty twenty two, 288 00:17:42,359 --> 00:17:45,960 Speaker 1: twenty twenty, twenty twenty four. The twenty twenty four data 289 00:17:46,440 --> 00:17:50,040 Speaker 1: just came out, and it really looks into who we 290 00:17:50,080 --> 00:17:54,240 Speaker 1: are as Americans and what we value, what we believe 291 00:17:54,280 --> 00:17:56,760 Speaker 1: in on a number of things, like I mean, they 292 00:17:56,840 --> 00:18:01,520 Speaker 1: ask hundreds and hundreds of questions spend over a year 293 00:18:01,920 --> 00:18:05,320 Speaker 1: analyzing and pouring over the data. And you have heard 294 00:18:05,320 --> 00:18:09,200 Speaker 1: about the GSS because when another news story breaks out, 295 00:18:09,600 --> 00:18:13,000 Speaker 1: they reference it. So when there's the racial reckoning, they'll 296 00:18:13,040 --> 00:18:16,000 Speaker 1: be like, this is how Americans feel about race relations 297 00:18:16,000 --> 00:18:18,560 Speaker 1: over time, and they'll use GSS data. But when it 298 00:18:18,680 --> 00:18:21,800 Speaker 1: comes out, you know, when it comes out. Matter of fact, 299 00:18:21,840 --> 00:18:23,480 Speaker 1: when it comes out like the day Cup, no one 300 00:18:23,520 --> 00:18:27,680 Speaker 1: reports it. They only report it to tie into other narratives. 301 00:18:27,840 --> 00:18:29,600 Speaker 1: So I want to talk about some of things. Because 302 00:18:29,600 --> 00:18:31,920 Speaker 1: it's hundreds of pages long. I can't possibly go through 303 00:18:31,920 --> 00:18:33,439 Speaker 1: all of it. You probably wouldn't be interested in all 304 00:18:33,480 --> 00:18:35,840 Speaker 1: of it, but I think that there's a number of 305 00:18:35,880 --> 00:18:38,879 Speaker 1: things that are vital in it. So let's talk first 306 00:18:39,080 --> 00:18:43,639 Speaker 1: about social trust. We as a nation used to be 307 00:18:43,680 --> 00:18:46,280 Speaker 1: a very high trusting country, and there are other high 308 00:18:46,280 --> 00:18:50,200 Speaker 1: trust in countries. Japan is a high trust society. Scandinavia 309 00:18:50,200 --> 00:18:54,240 Speaker 1: is a high trust society the Scandinavian countries. When you 310 00:18:54,359 --> 00:18:57,280 Speaker 1: have a high level of social trust, you're not only 311 00:18:57,400 --> 00:19:00,480 Speaker 1: likely to believe people who are different than you who 312 00:19:00,480 --> 00:19:04,000 Speaker 1: look different than you more, you're likely to believe people 313 00:19:04,280 --> 00:19:06,600 Speaker 1: who look the same as you more. You're more likely 314 00:19:06,680 --> 00:19:09,959 Speaker 1: to want to volunteer of your own free will and 315 00:19:10,040 --> 00:19:13,239 Speaker 1: volunteer civically. In World War II, for example, we were 316 00:19:13,280 --> 00:19:18,280 Speaker 1: a very high trust society. People were okay with giving 317 00:19:18,400 --> 00:19:22,520 Speaker 1: up things for the better mean of winning the war 318 00:19:22,640 --> 00:19:25,359 Speaker 1: and being part of a movement. That's what happens in 319 00:19:25,359 --> 00:19:28,760 Speaker 1: a hydra society. We have definitely obviously, I mean, you 320 00:19:28,800 --> 00:19:32,840 Speaker 1: shouldn't be shocked. We've lost our steps. They asked which 321 00:19:32,960 --> 00:19:38,159 Speaker 1: institutions Americans had great confidence in. I'm looking at the 322 00:19:38,240 --> 00:19:44,040 Speaker 1: data right now. The only institutions where Americans have are 323 00:19:44,080 --> 00:19:46,000 Speaker 1: more likely to say they have a high level of 324 00:19:46,040 --> 00:19:49,680 Speaker 1: confidence than a low level of confidence. There's only three. 325 00:19:50,320 --> 00:19:53,120 Speaker 1: Medicine twenty six percent, so they have a high level 326 00:19:53,160 --> 00:19:55,640 Speaker 1: of confidence, twenty percent so they have a low level 327 00:19:55,680 --> 00:20:00,320 Speaker 1: of confidence. The scientific community, which they've been to hit, 328 00:20:00,720 --> 00:20:03,400 Speaker 1: they've been hit a lot post COVID, but thirty six 329 00:20:03,400 --> 00:20:05,480 Speaker 1: percent so they have a high level of social trust, 330 00:20:05,640 --> 00:20:07,800 Speaker 1: thirteen percent that they have a low level. And the 331 00:20:07,840 --> 00:20:10,640 Speaker 1: military forty two percent, so they have a high level 332 00:20:10,640 --> 00:20:12,719 Speaker 1: of social trust. Thirteen percent that they have a low 333 00:20:12,800 --> 00:20:16,080 Speaker 1: level social trust. That's it, just three. These are the 334 00:20:16,119 --> 00:20:24,640 Speaker 1: institutions that are greatly underwater. Banking mat your companies organize religion, education. 335 00:20:24,800 --> 00:20:26,560 Speaker 1: I think this is the first time ever education has 336 00:20:26,560 --> 00:20:34,760 Speaker 1: been underwater. The executive branch organized labor, Congress, television. So 337 00:20:34,800 --> 00:20:39,640 Speaker 1: I think that means including the media, the Supreme Court, 338 00:20:38,960 --> 00:20:44,159 Speaker 1: and the Supreme Court hit forty percent, primarily because it 339 00:20:44,200 --> 00:20:46,680 Speaker 1: has to be Democrats. There's no other way. Democrats must 340 00:20:46,680 --> 00:20:49,480 Speaker 1: have absolutely fled for the hills after the abortion decision. 341 00:20:49,480 --> 00:20:51,400 Speaker 1: That's why I'm going to equate that with this more. 342 00:20:51,480 --> 00:20:55,480 Speaker 1: But those, all those institutions are very much underwater, where 343 00:20:55,480 --> 00:20:58,119 Speaker 1: people have no trust for them, then a lot of trust. 344 00:20:58,760 --> 00:21:03,119 Speaker 1: When asked do you think people are genuinely helpful or 345 00:21:03,160 --> 00:21:06,720 Speaker 1: are mostly looking out for themselves, forty seven percent of 346 00:21:06,760 --> 00:21:10,280 Speaker 1: Americans said people are mostly looking out for themselves. Thirty 347 00:21:10,359 --> 00:21:14,320 Speaker 1: nine percent said that people are genuinely helpful. Forty six 348 00:21:14,400 --> 00:21:19,240 Speaker 1: percent said most believe that most people will take advantage 349 00:21:19,240 --> 00:21:22,879 Speaker 1: of you. Forty two percent believe people are trying to 350 00:21:23,000 --> 00:21:26,840 Speaker 1: be fair. What does that mean on a country level? 351 00:21:27,320 --> 00:21:30,720 Speaker 1: What does it mean as a country that almost a 352 00:21:30,800 --> 00:21:37,640 Speaker 1: majority do not have faith and trust in their fellow citizen, 353 00:21:37,840 --> 00:21:40,480 Speaker 1: in their neighbor. What are they likely to do? What 354 00:21:40,520 --> 00:21:42,679 Speaker 1: are they not likely to do? I'll give you an 355 00:21:42,720 --> 00:21:45,600 Speaker 1: example when Japan, this is a couple of years ago, 356 00:21:45,680 --> 00:21:48,680 Speaker 1: Japan was hit with some kind of natural disaster. They 357 00:21:48,680 --> 00:21:51,320 Speaker 1: needed everyone in the country to turn out their lights. 358 00:21:51,359 --> 00:21:53,719 Speaker 1: I think you have like six o'clock to conserve energy, 359 00:21:53,800 --> 00:21:57,760 Speaker 1: and like ninety four percent of people complied, ninety five 360 00:21:57,880 --> 00:22:00,080 Speaker 1: it was well over ninety percent people And there were 361 00:22:00,160 --> 00:22:02,600 Speaker 1: no law. No one in the military was like walking 362 00:22:02,640 --> 00:22:04,720 Speaker 1: around with a gun saying shut off your lights. They 363 00:22:04,760 --> 00:22:07,760 Speaker 1: did this voluntarily because they were a high trust society. 364 00:22:08,720 --> 00:22:12,480 Speaker 1: Almost half of Americans don't think think that their neighbor 365 00:22:12,560 --> 00:22:15,280 Speaker 1: or their fellow American would take advantage of them, and 366 00:22:15,280 --> 00:22:18,119 Speaker 1: that they're only looking out for themselves. Would they be 367 00:22:18,200 --> 00:22:23,320 Speaker 1: willing to sacrifice when the country needs them, like on 368 00:22:23,359 --> 00:22:26,760 Speaker 1: their own, not because you know there's not because there's 369 00:22:26,760 --> 00:22:28,879 Speaker 1: someone walking around like was the COVID and that you 370 00:22:28,880 --> 00:22:31,160 Speaker 1: had to you know, right where you've been, what you're 371 00:22:31,160 --> 00:22:33,920 Speaker 1: doing at the airport, but on their own. And most 372 00:22:33,920 --> 00:22:37,200 Speaker 1: people sit there and say, no, why is that. Well, 373 00:22:37,359 --> 00:22:40,840 Speaker 1: there's a number of reasons. Obviously, there's been a lot 374 00:22:40,840 --> 00:22:43,439 Speaker 1: of scandals over the last several decades over why you 375 00:22:43,560 --> 00:22:47,560 Speaker 1: can't trust any institutions, why people are flawed, politicians who've 376 00:22:47,560 --> 00:22:52,360 Speaker 1: taken advantage bankers and wealthy people, and businessmen who frauded investors. 377 00:22:53,080 --> 00:22:56,280 Speaker 1: All of that's true, but there's also another reason, which 378 00:22:56,320 --> 00:23:01,480 Speaker 1: is immigration. There's been many, many social science studies on this. 379 00:23:01,600 --> 00:23:03,840 Speaker 1: There's a book called Bowling Alone by Robert Puttnam. It's 380 00:23:03,920 --> 00:23:05,959 Speaker 1: dated now, it's from the I think two thousand, two 381 00:23:05,960 --> 00:23:09,560 Speaker 1: thousand and one. But they asked the question of what 382 00:23:09,840 --> 00:23:12,720 Speaker 1: happens when you have mass immigration inflicted in a society, 383 00:23:12,840 --> 00:23:16,840 Speaker 1: social trust declines. It's one of the fastest ways to 384 00:23:17,080 --> 00:23:19,960 Speaker 1: have declining social trust. And I don't think that it 385 00:23:20,000 --> 00:23:22,560 Speaker 1: should go without saying that that is what we have 386 00:23:22,640 --> 00:23:26,560 Speaker 1: seen in this country over the last two decades, primarily 387 00:23:27,240 --> 00:23:31,240 Speaker 1: when you feel alienated from your fellow American, from your neighbor, 388 00:23:31,880 --> 00:23:34,560 Speaker 1: you are alienated from the idea of giving towards that 389 00:23:34,600 --> 00:23:38,639 Speaker 1: person of your own volition. Other interesting things from the 390 00:23:38,680 --> 00:23:42,040 Speaker 1: gs AS survey. I'm going to run down some bullet 391 00:23:42,080 --> 00:23:44,359 Speaker 1: points almost I think they're fascinating. Thing you should I 392 00:23:44,359 --> 00:23:47,280 Speaker 1: think it could be worth hearing it. Forty one percent 393 00:23:47,320 --> 00:23:50,560 Speaker 1: of Americans are currently married, twenty six percent are a 394 00:23:50,640 --> 00:23:53,959 Speaker 1: widowed or divorce thirty two percent have never been married. 395 00:23:54,600 --> 00:23:57,200 Speaker 1: That thirty two percent number is I think the highest 396 00:23:57,400 --> 00:24:01,040 Speaker 1: that has ever been reported. It will likely go high, which, 397 00:24:02,040 --> 00:24:05,280 Speaker 1: as from a political standpoint, not wonderful when the base 398 00:24:05,280 --> 00:24:09,560 Speaker 1: of the Democratic Party are unmarried women who've never been married. 399 00:24:09,840 --> 00:24:13,119 Speaker 1: And also there's a happiness thing. Married people tend to 400 00:24:13,240 --> 00:24:16,080 Speaker 1: be happier than not married people. It is the opposite 401 00:24:16,080 --> 00:24:18,879 Speaker 1: of what you hear from every sitcom of the husband 402 00:24:18,880 --> 00:24:21,560 Speaker 1: who rolls to the al bundi who rolls his eyes 403 00:24:21,960 --> 00:24:25,280 Speaker 1: married with children in the show I grew up watching 404 00:24:25,359 --> 00:24:27,800 Speaker 1: my Grandfather, which was much of the chagrin of my mother. 405 00:24:28,000 --> 00:24:31,359 Speaker 1: But that thing is actually not the true. Most people 406 00:24:31,359 --> 00:24:33,240 Speaker 1: who are married tend to be happier than people who 407 00:24:33,240 --> 00:24:35,119 Speaker 1: are not married, especially as they get into their fifties 408 00:24:35,119 --> 00:24:38,720 Speaker 1: and sixties. Ten percent of Americans are homemakers, which I 409 00:24:38,840 --> 00:24:41,720 Speaker 1: found shocking because it is you never hear really about 410 00:24:41,720 --> 00:24:44,720 Speaker 1: people being homemakers before, but one intent are homemakers. And 411 00:24:44,800 --> 00:24:47,080 Speaker 1: also one in ten people work more than sixty hours 412 00:24:47,080 --> 00:24:49,280 Speaker 1: a week. And really a political take with that, I 413 00:24:49,280 --> 00:24:53,760 Speaker 1: found that very very interesting. Americans are as likely to 414 00:24:53,880 --> 00:24:57,879 Speaker 1: have three children or more as they are likely to 415 00:24:57,920 --> 00:25:03,400 Speaker 1: have one. The outgrowth of childlessness, which I have to 416 00:25:03,400 --> 00:25:05,680 Speaker 1: touch on for a second, because again, to argue with 417 00:25:05,720 --> 00:25:07,159 Speaker 1: my friend and culture all the time, she doesn't think 418 00:25:07,160 --> 00:25:10,040 Speaker 1: it's a big deal, but it is. It is a 419 00:25:10,040 --> 00:25:14,840 Speaker 1: big deal. One in five conservatives have no kids. Okay, fine, 420 00:25:15,000 --> 00:25:17,640 Speaker 1: that's about the same as nineteen eighty four. The number 421 00:25:17,680 --> 00:25:21,640 Speaker 1: of conservative leaning people who don't have kids has been 422 00:25:21,680 --> 00:25:26,560 Speaker 1: flat for about forty years. The number of moderates who 423 00:25:26,560 --> 00:25:30,080 Speaker 1: don't have children went from thirteen percent to twenty two percent. 424 00:25:30,119 --> 00:25:33,200 Speaker 1: So that's a big uptick in moderates, right who. I 425 00:25:33,200 --> 00:25:34,840 Speaker 1: don't know if they can't afford it or what the 426 00:25:34,840 --> 00:25:37,600 Speaker 1: case is, but they or they just choose not to 427 00:25:37,600 --> 00:25:39,560 Speaker 1: have kids. But that's a nine percent of tick. The 428 00:25:39,640 --> 00:25:44,080 Speaker 1: number of liberals who don't have children went from twenty 429 00:25:44,160 --> 00:25:49,160 Speaker 1: two percent in nineteen eighty four to forty percent. Almost 430 00:25:49,240 --> 00:25:53,399 Speaker 1: half the population of self proclaimed liberals do not have kids. 431 00:25:55,400 --> 00:25:59,240 Speaker 1: Part can. I talked to Tim Poole about this. He's like, great, 432 00:25:59,560 --> 00:26:05,040 Speaker 1: Nober means you know, no liberal kids means no liberal future. Yeah, 433 00:26:05,119 --> 00:26:08,600 Speaker 1: but it means a lot of people who don't have 434 00:26:08,680 --> 00:26:11,640 Speaker 1: a clear investment in the future as far as they 435 00:26:11,680 --> 00:26:17,080 Speaker 1: see themselves, they see their future in the next generation. 436 00:26:17,520 --> 00:26:20,240 Speaker 1: It means something. It just does your life does change 437 00:26:20,240 --> 00:26:23,280 Speaker 1: when you have a kid. It does mean that a 438 00:26:23,320 --> 00:26:26,000 Speaker 1: lot of people experience loneliness. Not everyone who does have 439 00:26:26,040 --> 00:26:27,840 Speaker 1: a kid is lonely, but there are is a connection 440 00:26:27,880 --> 00:26:32,320 Speaker 1: between loneliness and no family, no children. It also means 441 00:26:33,280 --> 00:26:37,760 Speaker 1: a lot of baby boomers today, who you know, they 442 00:26:37,800 --> 00:26:41,640 Speaker 1: worked hard and they expected this future where they would 443 00:26:41,680 --> 00:26:46,240 Speaker 1: be grandparents, are experiencing loneliness now because they don't their 444 00:26:46,720 --> 00:26:49,240 Speaker 1: liberal children. And they're liberal for who knows what reason, 445 00:26:49,640 --> 00:26:52,399 Speaker 1: never had never had children. It's an end of that 446 00:26:52,680 --> 00:26:59,399 Speaker 1: entire bloodline, uh, that entire family. And it means and 447 00:26:59,440 --> 00:27:02,600 Speaker 1: I've ends like this, who are you know there? I 448 00:27:02,600 --> 00:27:04,480 Speaker 1: would say they're middle world. They're not even liberal, they're 449 00:27:04,560 --> 00:27:07,800 Speaker 1: kind of left leaning. But they're all in their mid 450 00:27:07,880 --> 00:27:09,919 Speaker 1: and till eight thirties. They don't have children, and they 451 00:27:09,960 --> 00:27:12,840 Speaker 1: have smaller families than on my own. And I say 452 00:27:12,840 --> 00:27:15,480 Speaker 1: to them, they live so heavily in the moment, I 453 00:27:15,520 --> 00:27:18,560 Speaker 1: have this conversational concert. They live completely in the moment, 454 00:27:18,640 --> 00:27:23,399 Speaker 1: And I say to them, you're not looking twenty years 455 00:27:23,440 --> 00:27:26,119 Speaker 1: down the line when your parents aren't here anymore, or 456 00:27:26,119 --> 00:27:28,640 Speaker 1: twenty five years, not going to as long as humanly possible, 457 00:27:29,400 --> 00:27:33,280 Speaker 1: when you don't when a holiday is literally being alone, 458 00:27:33,960 --> 00:27:37,720 Speaker 1: Like that's a very hard thing for a lot of people. 459 00:27:38,000 --> 00:27:40,240 Speaker 1: And we see depression and we see suicides, and we 460 00:27:40,280 --> 00:27:45,399 Speaker 1: see addiction spike during those time periods that loneliness is 461 00:27:45,440 --> 00:27:49,400 Speaker 1: getting higher, and it's specifically among a lot of college 462 00:27:49,600 --> 00:27:53,600 Speaker 1: educated women who are being pressured to one think that 463 00:27:53,800 --> 00:27:58,280 Speaker 1: they have to work to show that they are worthy, 464 00:27:58,440 --> 00:28:01,000 Speaker 1: that their work is what they kind to find themselves in. 465 00:28:01,359 --> 00:28:03,760 Speaker 1: And also because they're in school until their mid thirties 466 00:28:03,800 --> 00:28:06,040 Speaker 1: and by the time that the opportunity to have children 467 00:28:06,080 --> 00:28:08,879 Speaker 1: comes up, time has kind of passed them by and 468 00:28:08,920 --> 00:28:12,640 Speaker 1: no one warned them. There's also a connection between mental 469 00:28:13,000 --> 00:28:19,879 Speaker 1: health problems in this study and political stuff. Voters under 470 00:28:20,000 --> 00:28:25,400 Speaker 1: thirty people who are extremely liberal, fifty six percent said 471 00:28:25,440 --> 00:28:28,760 Speaker 1: that they were diagnosed with a mental health problem. Think 472 00:28:28,800 --> 00:28:32,760 Speaker 1: about that, people who are very liberal under the age 473 00:28:32,760 --> 00:28:36,440 Speaker 1: of thirty a majority, So they were diagnosed with a 474 00:28:36,520 --> 00:28:42,040 Speaker 1: mental health problem. According to the GSS study. If is 475 00:28:42,120 --> 00:28:46,480 Speaker 1: that there's two questions. Is it that liberalism attracts mentally 476 00:28:46,520 --> 00:28:50,760 Speaker 1: ill people, which there are times that I could get 477 00:28:50,760 --> 00:28:54,200 Speaker 1: on board with that message, or is it that very 478 00:28:54,400 --> 00:28:59,280 Speaker 1: liberal people are trying to diagnose themselves with problems. They're 479 00:28:59,320 --> 00:29:02,880 Speaker 1: over trying to find a reason that their life isn't well, 480 00:29:02,960 --> 00:29:05,160 Speaker 1: or that they're not perfect, or whatever the case may be. 481 00:29:05,600 --> 00:29:08,800 Speaker 1: I'm not sure, but there is a sliding scale. Fifty 482 00:29:08,840 --> 00:29:11,800 Speaker 1: six percent of extreme liberals under THEASA thirty have a 483 00:29:11,960 --> 00:29:14,800 Speaker 1: mental health problem. Thirty seven percent of people who are 484 00:29:14,840 --> 00:29:17,959 Speaker 1: just regularly liberal have a mental health problem. Thirty percent 485 00:29:18,000 --> 00:29:21,400 Speaker 1: of moderates have say they have a diagnosed mental health problem, 486 00:29:21,440 --> 00:29:25,120 Speaker 1: only fifteen percent of conservatives and only ten percent of 487 00:29:25,320 --> 00:29:29,240 Speaker 1: very conservative people. And this, by the way, this sliding 488 00:29:29,280 --> 00:29:32,040 Speaker 1: scale people under thirty is not true. People over thirty, 489 00:29:32,600 --> 00:29:36,880 Speaker 1: over thirty, extreme conservatives, conservatives, moderates all have the same 490 00:29:36,880 --> 00:29:40,600 Speaker 1: amount sixteen to seventeen percent, liberals twenty four, extreme liberals 491 00:29:40,600 --> 00:29:43,120 Speaker 1: twenty eight. Okay, slide uptick with extreme liberals and liberals, 492 00:29:43,160 --> 00:29:46,400 Speaker 1: but not significance. You know, ten points at the most, 493 00:29:46,480 --> 00:29:49,080 Speaker 1: but it's usually like six, not a lot. Not a 494 00:29:49,080 --> 00:29:53,080 Speaker 1: big growth among young people, and I would guess specifically 495 00:29:53,160 --> 00:29:57,480 Speaker 1: young women who are liberal. It is a social contagion. 496 00:29:58,360 --> 00:30:01,400 Speaker 1: It's wild, in my opinion, and it's not good. It's 497 00:30:01,480 --> 00:30:03,880 Speaker 1: not a healthy place to be and it will probably 498 00:30:03,880 --> 00:30:06,880 Speaker 1: mean of a democratic party in the future. That reflects 499 00:30:06,880 --> 00:30:09,120 Speaker 1: those kinds of voters where you're like, wow, everyone seems 500 00:30:09,120 --> 00:30:12,720 Speaker 1: like they're diagnosed with the mental health issue. Anyway, Okay, 501 00:30:12,920 --> 00:30:14,840 Speaker 1: I want to go to two more things and then 502 00:30:14,880 --> 00:30:17,320 Speaker 1: we'll get to the Q and A. Because the study 503 00:30:17,360 --> 00:30:20,600 Speaker 1: is really long, I could go through everything. Other interesting 504 00:30:20,640 --> 00:30:23,040 Speaker 1: thing that I found on other tidbit was this when 505 00:30:23,120 --> 00:30:25,480 Speaker 1: it comes to idea of free speech. Now, this is 506 00:30:25,520 --> 00:30:28,160 Speaker 1: something that we as Americans hold is the greatest ideal. 507 00:30:28,200 --> 00:30:31,080 Speaker 1: It's something we can generally get a board, get on 508 00:30:31,160 --> 00:30:33,800 Speaker 1: board despite our politics, right the belief of free speech. 509 00:30:34,040 --> 00:30:38,280 Speaker 1: That's what we're told. There is a big difference between 510 00:30:38,400 --> 00:30:43,280 Speaker 1: free speech depending on what you are criticizing. So they 511 00:30:43,360 --> 00:30:47,840 Speaker 1: ask people, if someone spoke out against all religion, should 512 00:30:47,840 --> 00:30:51,320 Speaker 1: they be allowed to speak? Seventy nine percent said yes, 513 00:30:51,640 --> 00:30:54,680 Speaker 1: twenty one percent said no. If someone was in an 514 00:30:54,680 --> 00:30:57,920 Speaker 1: admitnute and a vowed communist, should they be allowed to speak? 515 00:30:58,160 --> 00:31:01,600 Speaker 1: Sixty six percent said yes, thirty four percent said no. 516 00:31:02,240 --> 00:31:05,320 Speaker 1: If someone said that they believe one race was inferior 517 00:31:05,360 --> 00:31:07,760 Speaker 1: to another, should they be about to speak? Forty nine 518 00:31:07,800 --> 00:31:14,120 Speaker 1: percent said yes, fifty one percent said no. That is dramatic. 519 00:31:14,280 --> 00:31:17,560 Speaker 1: Now I do not believe any race is specifically inferior 520 00:31:17,600 --> 00:31:20,600 Speaker 1: than another race, and I wouldn't get on board with 521 00:31:20,600 --> 00:31:24,280 Speaker 1: that message, but I do believe that that person has 522 00:31:24,320 --> 00:31:27,320 Speaker 1: the right to speak, and sometimes it's good that they 523 00:31:27,320 --> 00:31:29,959 Speaker 1: speak so that way everything is aired out, you can 524 00:31:30,560 --> 00:31:33,000 Speaker 1: tell who the real racist is, Like I think a 525 00:31:33,000 --> 00:31:38,000 Speaker 1: communist should be allowed to speak. That is jarring though 526 00:31:38,600 --> 00:31:41,400 Speaker 1: that we have. This is something that Chrystal Colwell wrote 527 00:31:41,400 --> 00:31:45,880 Speaker 1: about in his brilliant book, that we had a second 528 00:31:45,880 --> 00:31:50,000 Speaker 1: Constitution during the Civil rights era, that there is a 529 00:31:50,040 --> 00:31:54,720 Speaker 1: belief that conversations and discussions over race really triumph over all, 530 00:31:55,920 --> 00:32:01,240 Speaker 1: and that is something that's very I mean, thank god 531 00:32:01,240 --> 00:32:03,320 Speaker 1: we have a Supreme Court that's always usually my think, 532 00:32:03,360 --> 00:32:06,960 Speaker 1: almost always held up the right to speak. But that's 533 00:32:07,040 --> 00:32:11,320 Speaker 1: nerve racking that the public does feel like some conversations 534 00:32:12,000 --> 00:32:14,560 Speaker 1: deserve you to take your rights away. That would support 535 00:32:14,560 --> 00:32:18,640 Speaker 1: things like hate speech laws, which is against our First Amendment. 536 00:32:20,320 --> 00:32:25,680 Speaker 1: They also asked if somebody had an opinion that if 537 00:32:25,680 --> 00:32:27,920 Speaker 1: someone was spoken against all religions, should they be allow 538 00:32:28,000 --> 00:32:31,160 Speaker 1: to teach. Sixty three percent said yes for teaching, but 539 00:32:31,200 --> 00:32:34,600 Speaker 1: if they have the same opinion over race, only forty 540 00:32:34,680 --> 00:32:36,080 Speaker 1: nine percent, so that they should be allowed to hold 541 00:32:36,200 --> 00:32:39,680 Speaker 1: a teaching job. Once again. You shouldn't be allowed to speak, 542 00:32:39,720 --> 00:32:44,160 Speaker 1: shouldn't be allowed to work if you hold unpolite positions. 543 00:32:44,600 --> 00:32:47,440 Speaker 1: Now it's fifty to fifty. I'm sure it's actually better. 544 00:32:47,480 --> 00:32:49,280 Speaker 1: I wasn't able to find the data from twenty twenty. 545 00:32:49,440 --> 00:32:51,880 Speaker 1: I don't know they asked this question. I'm sure it's 546 00:32:51,880 --> 00:32:54,640 Speaker 1: better than knowing the racial reckoning. But it says a 547 00:32:54,680 --> 00:32:57,760 Speaker 1: lot that our rights are conditional to what we say 548 00:32:57,800 --> 00:33:02,040 Speaker 1: to a lot of people. Okay, last few things that 549 00:33:02,080 --> 00:33:05,480 Speaker 1: I think are super fascinating. One in four people living 550 00:33:05,480 --> 00:33:07,600 Speaker 1: in the country have at least one immigrant parent, and 551 00:33:07,640 --> 00:33:11,880 Speaker 1: only sixty four percent have all four grandparents born in 552 00:33:11,880 --> 00:33:13,680 Speaker 1: the US. I'm one of the sixty four percent. I 553 00:33:13,680 --> 00:33:16,880 Speaker 1: thought it'd be higher, honestly, but I guess mass immigration 554 00:33:16,920 --> 00:33:19,200 Speaker 1: will do that to you. Thirty six percent of people 555 00:33:19,200 --> 00:33:21,719 Speaker 1: who did not vote in the twenty six sixteen election 556 00:33:22,200 --> 00:33:24,000 Speaker 1: because they were either too young or they didn't vote, 557 00:33:24,240 --> 00:33:26,120 Speaker 1: thirty six percent of those people would voted for Trump, 558 00:33:26,200 --> 00:33:29,960 Speaker 1: twenty nine percent for Clinton. That shows you the projection 559 00:33:30,160 --> 00:33:32,800 Speaker 1: of where new voters are are still leaning to the right. 560 00:33:33,320 --> 00:33:39,000 Speaker 1: That's good. The next question and I'll go over Thirty 561 00:33:39,040 --> 00:33:42,280 Speaker 1: five percent of people say that they attend church once 562 00:33:42,440 --> 00:33:45,600 Speaker 1: a month or more, thirty three percent attends a few 563 00:33:45,640 --> 00:33:48,760 Speaker 1: times a year, thirty one percent never attend church. Eighty 564 00:33:48,800 --> 00:33:52,840 Speaker 1: three percent of Americans believe in life after death, seventeen 565 00:33:52,880 --> 00:33:55,280 Speaker 1: percent do not. I'm in the eighty three percent camp. 566 00:33:55,640 --> 00:33:58,800 Speaker 1: Sixty eight percent prey at least once a week, twenty 567 00:33:58,800 --> 00:34:03,120 Speaker 1: percent never do. Fifty four percent of Americans support prayer 568 00:34:03,200 --> 00:34:06,200 Speaker 1: in school, despite what the media will tell you, majority 569 00:34:06,200 --> 00:34:09,279 Speaker 1: of Americans support prayer in school, Forty six percent do not. 570 00:34:10,400 --> 00:34:12,560 Speaker 1: Twenty percent of Americans believe you should have the right 571 00:34:12,600 --> 00:34:15,200 Speaker 1: to discriminate when selling a home. You should be able 572 00:34:15,200 --> 00:34:17,120 Speaker 1: to sell your home to whoever you want to depending 573 00:34:17,120 --> 00:34:21,040 Speaker 1: on your own biases. Majority of Americans obviously do not. 574 00:34:22,200 --> 00:34:25,080 Speaker 1: About a quarter of Americans support affirmative action when it 575 00:34:25,120 --> 00:34:29,799 Speaker 1: comes to hiring minorities seventy three percent a pose which 576 00:34:29,880 --> 00:34:32,239 Speaker 1: also not a thing that the media would ever sit 577 00:34:32,239 --> 00:34:33,960 Speaker 1: there in track. I'm sure if I sit on seen 578 00:34:34,000 --> 00:34:36,239 Speaker 1: it and I'd be banned all over again, and then 579 00:34:36,360 --> 00:34:38,160 Speaker 1: I'll go over the last thing. Thirty six percent of 580 00:34:38,200 --> 00:34:41,880 Speaker 1: Americans own a firearm, be one percent believe it is 581 00:34:41,920 --> 00:34:44,120 Speaker 1: better for a man to be the breadwinner and household 582 00:34:44,200 --> 00:34:48,520 Speaker 1: and the woman to be a homemaker. Interesting stuff, interesting data. 583 00:34:48,760 --> 00:34:51,239 Speaker 1: I thought you guys would like it. I enjoy that 584 00:34:51,280 --> 00:34:53,160 Speaker 1: kind of stuff. Once again. It's one hundreds of pages long. 585 00:34:53,200 --> 00:34:56,400 Speaker 1: You could download it for free the General Social Survey. 586 00:34:56,800 --> 00:35:00,759 Speaker 1: I highly recommend. It's just fascinating. Let's get to let's 587 00:35:00,840 --> 00:35:03,600 Speaker 1: land this plane. Let's get to the question answer. If 588 00:35:03,640 --> 00:35:05,759 Speaker 1: you have a question for me, you can email me 589 00:35:06,320 --> 00:35:09,920 Speaker 1: Ryan at Numbers Game podcast dot com. Ryan at Plural 590 00:35:10,000 --> 00:35:12,759 Speaker 1: Numbers Game podcast dot com. You're listening to It's a 591 00:35:12,840 --> 00:35:15,359 Speaker 1: Numbers Game with Ryan Grodowski. We'll be right back after 592 00:35:15,400 --> 00:35:22,520 Speaker 1: this message. This email comes from Russell Klugg. Russell says, Hello, Ryan, 593 00:35:22,840 --> 00:35:25,960 Speaker 1: burn through all your episodes on a recent new show. Congrats. 594 00:35:26,680 --> 00:35:29,920 Speaker 1: Interest in your work sparked from an older conversation you 595 00:35:30,000 --> 00:35:33,520 Speaker 1: had with Emily Jazinski last year on Breaking Points. Yeah, 596 00:35:33,520 --> 00:35:35,279 Speaker 1: I know I was on that show. I haven't had 597 00:35:35,320 --> 00:35:38,560 Speaker 1: me on a long time now, where you responded humorously 598 00:35:38,640 --> 00:35:42,160 Speaker 1: that to a Karen led online Democratic fundraiser for Harris 599 00:35:42,239 --> 00:35:44,960 Speaker 1: or something, wanting someone to say, ma'am, this is a 600 00:35:45,000 --> 00:35:47,480 Speaker 1: Wendy's to the lead. Karen, Oh, yeah, that was true. 601 00:35:47,600 --> 00:35:49,960 Speaker 1: This is when they were like, it's a bunch of 602 00:35:49,960 --> 00:35:53,200 Speaker 1: like white women for Harris, and they were like giving 603 00:35:53,400 --> 00:35:55,960 Speaker 1: context of what you should say and when and not 604 00:35:56,000 --> 00:35:58,320 Speaker 1: to hurt anyone's feelings. And oh my god, how exhausting. 605 00:35:58,600 --> 00:36:01,440 Speaker 1: Two questions. And if you had numbers on them. Do 606 00:36:01,520 --> 00:36:05,000 Speaker 1: Democrats have a smug elitist problem? Are they perceived by 607 00:36:05,040 --> 00:36:07,920 Speaker 1: the average person or majority of the population is arrogant 608 00:36:08,040 --> 00:36:11,560 Speaker 1: or out of touch? If so, does this perception change 609 00:36:11,640 --> 00:36:16,600 Speaker 1: based on respondence being in out group Democrat Republicans? Do 610 00:36:16,719 --> 00:36:19,919 Speaker 1: Republicans and independence know how democrats think see the world 611 00:36:20,040 --> 00:36:24,440 Speaker 1: versus Democrats cannot understand how Republicans and independency the world. Okay, 612 00:36:24,560 --> 00:36:28,920 Speaker 1: so let me answer the second question. First, there is 613 00:36:28,960 --> 00:36:33,319 Speaker 1: a general misperception on many things when it comes to 614 00:36:33,920 --> 00:36:39,240 Speaker 1: both the opposite party, when it comes to what people 615 00:36:39,239 --> 00:36:43,680 Speaker 1: think Republicans versus what people think Democrats believe. Right, there 616 00:36:43,840 --> 00:36:47,719 Speaker 1: is a general belief also that the country as a 617 00:36:47,760 --> 00:36:51,799 Speaker 1: whole is different than what it is. Right, This is 618 00:36:51,840 --> 00:36:54,120 Speaker 1: not just this is just based on your personal bias. 619 00:36:54,560 --> 00:36:57,840 Speaker 1: So there was there was this one study and I 620 00:36:57,880 --> 00:37:00,279 Speaker 1: can't remember everybody do with the data. So we asked 621 00:37:00,320 --> 00:37:03,360 Speaker 1: Americans how many people do you think in this country 622 00:37:03,880 --> 00:37:08,239 Speaker 1: are live in New York City? Thirty percent said? They 623 00:37:08,239 --> 00:37:10,160 Speaker 1: said thirty percent that they lived in New York City. 624 00:37:11,239 --> 00:37:14,000 Speaker 1: It's three percent. They asked, how many people you think 625 00:37:14,040 --> 00:37:16,880 Speaker 1: are transgender? They said twenty one percent, it was one percent. 626 00:37:17,200 --> 00:37:19,640 Speaker 1: How many people have a household income of over a million? 627 00:37:19,680 --> 00:37:22,560 Speaker 1: They thought it was twenty percent. It's less than one percent. 628 00:37:23,920 --> 00:37:26,520 Speaker 1: They asked, how people do you think are gay? They 629 00:37:26,520 --> 00:37:29,000 Speaker 1: said thirty percent. It's like three percent or openly gay. 630 00:37:29,080 --> 00:37:32,279 Speaker 1: There's another six percent or bisexual whatever. The numbers were 631 00:37:32,800 --> 00:37:35,719 Speaker 1: wildly off, and that is as true for Republicans as 632 00:37:35,719 --> 00:37:37,960 Speaker 1: it is for Democrats. There's been a number of studies 633 00:37:38,440 --> 00:37:43,759 Speaker 1: and about how misperception within the parties exists. But it's 634 00:37:43,800 --> 00:37:47,680 Speaker 1: not just within the parties. It's within the greater context 635 00:37:47,760 --> 00:37:50,600 Speaker 1: of the of the of the country. Like they the 636 00:37:50,640 --> 00:37:54,520 Speaker 1: average person is not always finally in tune with the 637 00:37:54,560 --> 00:37:57,560 Speaker 1: actual percentages of the country and how and what they 638 00:37:57,600 --> 00:38:01,680 Speaker 1: actually believe. Do they have a smug or elitist problem? 639 00:38:02,080 --> 00:38:06,560 Speaker 1: It depends who right, It depends who in the party. 640 00:38:06,600 --> 00:38:09,000 Speaker 1: Bernie Sanders does not have a smug or elitist problem. 641 00:38:09,320 --> 00:38:13,439 Speaker 1: Bernie Sanders can go on a comedy podcast and talk 642 00:38:13,440 --> 00:38:16,719 Speaker 1: about the history of the Dodgers and have a normal conversation. 643 00:38:17,880 --> 00:38:21,319 Speaker 1: Kamala Harris had a smug or elitist problem, I would 644 00:38:21,400 --> 00:38:25,560 Speaker 1: say AOC could have a No, I don't think it's this. 645 00:38:25,600 --> 00:38:27,040 Speaker 1: I wouldn't say it's a smug Reliaus. She has a 646 00:38:27,040 --> 00:38:28,960 Speaker 1: different problem, but it's not a smug or elatest problem. 647 00:38:29,239 --> 00:38:32,879 Speaker 1: She definitely comes off more regular. Pete Footage just does 648 00:38:32,920 --> 00:38:34,959 Speaker 1: not have a smug or elitist problem. He's a different 649 00:38:34,960 --> 00:38:36,560 Speaker 1: problem when it comes to winning a national election in 650 00:38:36,560 --> 00:38:38,719 Speaker 1: the sense that black voters in the Democratic Party, I 651 00:38:38,719 --> 00:38:41,320 Speaker 1: don't believe we're gonna lect a gay guy. Gavin Newsom 652 00:38:41,400 --> 00:38:45,440 Speaker 1: has a smug an elitist problem. So I don't think 653 00:38:45,480 --> 00:38:48,640 Speaker 1: as a party as a whole, they can answer that 654 00:38:48,760 --> 00:38:51,600 Speaker 1: question when it comes to certain cannons. Yes, but it's 655 00:38:51,640 --> 00:38:54,000 Speaker 1: not every candidate in the Democratic Party. And you could 656 00:38:54,000 --> 00:38:56,520 Speaker 1: see the ones who don't have it, the ones who 657 00:38:56,560 --> 00:39:02,920 Speaker 1: come off more you know, regular, regular Joe. They they 658 00:39:03,080 --> 00:39:07,640 Speaker 1: are the leading contenders for the Democratic nomination. I think 659 00:39:07,640 --> 00:39:10,000 Speaker 1: when you come, I think I think the better question 660 00:39:10,239 --> 00:39:12,799 Speaker 1: is not really the elected officials as much as it 661 00:39:12,840 --> 00:39:18,040 Speaker 1: is representatives of the Democratic Party, George Clooney obviously a 662 00:39:18,160 --> 00:39:24,239 Speaker 1: leadiest problem, Steven Spielberg, obviously a tailor swift, Oprah Winfrey. 663 00:39:24,520 --> 00:39:28,080 Speaker 1: These are all celebrities or they're left wing influencers who 664 00:39:28,719 --> 00:39:30,960 Speaker 1: either look like they are they have a missing chromozoon 665 00:39:31,080 --> 00:39:33,320 Speaker 1: or an extra one. There's something like wrong with these people. 666 00:39:33,560 --> 00:39:36,160 Speaker 1: They are very, very very far to the left. So 667 00:39:36,200 --> 00:39:38,759 Speaker 1: I think that when you look at the representation of 668 00:39:38,840 --> 00:39:41,560 Speaker 1: who who is out there talking with the Democratic Party 669 00:39:41,640 --> 00:39:44,880 Speaker 1: so often, yes, the act elected officials who have to 670 00:39:44,880 --> 00:39:49,000 Speaker 1: get votes, it's a mixed back anyway. I hope that 671 00:39:49,040 --> 00:39:51,640 Speaker 1: answers your question. If I find any more information on this, 672 00:39:51,680 --> 00:39:53,600 Speaker 1: I'm actually gonna bring us up next week on the 673 00:39:53,600 --> 00:39:56,080 Speaker 1: podcast to talk about this. I think it's an interesting subject. 674 00:39:56,440 --> 00:39:58,839 Speaker 1: But I will look for that for on Monday. So 675 00:39:58,920 --> 00:40:02,120 Speaker 1: tune in, please like in, subscribe to this podcast on 676 00:40:02,160 --> 00:40:05,480 Speaker 1: the iHeartRadio app, Apple Podcasts, wherever you get your podcasts. 677 00:40:05,480 --> 00:40:07,680 Speaker 1: I will see you on Monday with a special guest. 678 00:40:07,960 --> 00:40:08,520 Speaker 1: Talk to you then,