1 00:00:04,400 --> 00:00:06,840 Speaker 1: Welcome back to a Numbers Game with Ryan Grodski. I 2 00:00:06,880 --> 00:00:09,440 Speaker 1: am your host. Thank you all for being here again 3 00:00:09,480 --> 00:00:13,640 Speaker 1: this week. This week is a solo episode because this 4 00:00:13,680 --> 00:00:16,360 Speaker 1: is a number Game podcast and there was a ton 5 00:00:16,960 --> 00:00:19,720 Speaker 1: of data that came out this week, and I thought, 6 00:00:19,880 --> 00:00:24,079 Speaker 1: let's have a very autistic episode starring just me where 7 00:00:24,160 --> 00:00:27,640 Speaker 1: I can give you everything that you're here for, and 8 00:00:27,680 --> 00:00:30,040 Speaker 1: then we'll presume with a guest come next week. But 9 00:00:30,080 --> 00:00:34,320 Speaker 1: there's three topics I want to get to on today's episode, 10 00:00:34,479 --> 00:00:38,199 Speaker 1: which is the Trump whole bounce, what is going on 11 00:00:38,240 --> 00:00:40,440 Speaker 1: in New York State that I think is super interesting, 12 00:00:41,200 --> 00:00:43,240 Speaker 1: and then data that came out about the twenty twenty 13 00:00:43,240 --> 00:00:46,400 Speaker 1: four election that is very, very vital. So let's start 14 00:00:46,440 --> 00:00:51,200 Speaker 1: though with the Trump bounce. For those who don't know now, 15 00:00:51,479 --> 00:00:54,360 Speaker 1: a month ago, right the media was loving it because 16 00:00:54,360 --> 00:00:57,120 Speaker 1: Trump's numbers were down double digits in a number of 17 00:00:57,320 --> 00:01:01,960 Speaker 1: very highly accredited public holes. Public polls are not usually 18 00:01:02,000 --> 00:01:06,839 Speaker 1: as good as private polls, but they make cross tabs available, 19 00:01:06,880 --> 00:01:09,480 Speaker 1: they work with media outlets, they get a lot of coverage. 20 00:01:09,560 --> 00:01:12,760 Speaker 1: So these polls were coming out showing Trump's numbers in 21 00:01:12,880 --> 00:01:16,400 Speaker 1: the dumps. It was right after Liberation Day and fears 22 00:01:16,440 --> 00:01:20,520 Speaker 1: of recession were at a huge high, and since then, 23 00:01:20,959 --> 00:01:23,360 Speaker 1: well we haven't had a recession. Actually, the numbers from 24 00:01:23,360 --> 00:01:27,080 Speaker 1: the economy are doing pretty good. There was a reduction 25 00:01:27,319 --> 00:01:31,440 Speaker 1: in prices in wholesale prices, wages are up over three percent, 26 00:01:31,640 --> 00:01:35,880 Speaker 1: inflation is steady. Things are going well for the economy. 27 00:01:35,880 --> 00:01:39,400 Speaker 1: The economy is fairly strong, and this has been very 28 00:01:39,480 --> 00:01:43,080 Speaker 1: good news for Donald Trump. So I looked at the 29 00:01:43,560 --> 00:01:46,560 Speaker 1: seven polls that had come out recently that also came 30 00:01:46,600 --> 00:01:50,560 Speaker 1: out a month ago. They are Insider Advantage, Morning Consult, 31 00:01:50,840 --> 00:01:55,720 Speaker 1: the Economists, the Daily Mail, who James Johnson, who came 32 00:01:55,720 --> 00:01:59,120 Speaker 1: on this podcast a couple weeks ago, RMG Research, Quantus, 33 00:01:59,360 --> 00:02:03,320 Speaker 1: and Emerson and Quantas was the third most accurate polster 34 00:02:03,400 --> 00:02:05,200 Speaker 1: of the twenty twenty four election cycle, and I believe 35 00:02:05,240 --> 00:02:08,400 Speaker 1: Insider Advantage was the second, and Emerson was probably the fourth. 36 00:02:08,720 --> 00:02:12,960 Speaker 1: So highly accredited polling firms, but not the type of 37 00:02:13,040 --> 00:02:16,320 Speaker 1: polling firms that get huge coverage like The New York 38 00:02:16,360 --> 00:02:19,320 Speaker 1: Times does, or like NBC News does or whatnot, but 39 00:02:19,480 --> 00:02:24,560 Speaker 1: good polls. Right, their overall net approval for Donald Trump 40 00:02:24,840 --> 00:02:28,440 Speaker 1: in on four thirty was about negative four three point 41 00:02:28,600 --> 00:02:32,080 Speaker 1: six Right, The Economist and the Daily Mail having double 42 00:02:32,120 --> 00:02:36,119 Speaker 1: digit losses, and then RMG Research being at zero, Emerson 43 00:02:36,160 --> 00:02:38,200 Speaker 1: being plus two instead of Vanage being plus two, but 44 00:02:38,240 --> 00:02:41,880 Speaker 1: overall negative four. If you look at the average of 45 00:02:41,919 --> 00:02:44,880 Speaker 1: those of those seven polling firms. Now Trump has a 46 00:02:45,040 --> 00:02:48,960 Speaker 1: one point approval rating net approval rating that means people 47 00:02:49,360 --> 00:02:51,800 Speaker 1: you know, if the providing is fifty forty nine percent 48 00:02:51,840 --> 00:02:54,560 Speaker 1: the negative is forty eight percent right, and favorable rating 49 00:02:54,639 --> 00:02:58,800 Speaker 1: of one point. He grew about four point one points 50 00:02:58,840 --> 00:03:03,800 Speaker 1: in favorability over the last month. That is substantial. I 51 00:03:03,960 --> 00:03:06,880 Speaker 1: did the deep dives in all the cross steps that 52 00:03:06,880 --> 00:03:11,480 Speaker 1: were publicly available to me. A big part of the 53 00:03:11,560 --> 00:03:15,600 Speaker 1: bump seems to be coming from one man men across 54 00:03:15,639 --> 00:03:18,280 Speaker 1: the board, which would make sense if men felt like 55 00:03:18,320 --> 00:03:22,040 Speaker 1: a recession was happening at any time, that it would 56 00:03:22,080 --> 00:03:24,800 Speaker 1: be important to sit there into that they would have 57 00:03:24,840 --> 00:03:27,040 Speaker 1: fears and they'd have worries, and that maybe their numbers 58 00:03:27,040 --> 00:03:31,359 Speaker 1: would go down among men, but their backup Republicans are 59 00:03:31,400 --> 00:03:33,560 Speaker 1: back up men across every racial line, by the way, 60 00:03:33,639 --> 00:03:38,360 Speaker 1: saw a bounce which was very very important. But interestingly enough, 61 00:03:38,440 --> 00:03:44,480 Speaker 1: the number among Democrats had increased, specifically minority Democrats, and 62 00:03:44,520 --> 00:03:50,840 Speaker 1: what I wonder were those pollsters tracking black men and 63 00:03:50,960 --> 00:03:54,240 Speaker 1: Hispanic men who are still Democrats, but they voted for Trump, 64 00:03:55,120 --> 00:03:59,400 Speaker 1: and they were the ones having quasi buyers remorse for 65 00:03:59,440 --> 00:04:01,520 Speaker 1: a period of time, and now they're back on the 66 00:04:01,640 --> 00:04:04,800 Speaker 1: train because the recession that was the media said was 67 00:04:04,840 --> 00:04:09,680 Speaker 1: going to happen just never happened. I also wonder, and 68 00:04:09,720 --> 00:04:15,200 Speaker 1: this is part of my analyst media brain working, because 69 00:04:15,360 --> 00:04:19,000 Speaker 1: the news of Joe Biden's health and the book that 70 00:04:19,040 --> 00:04:21,360 Speaker 1: had come out with Jake Tapper and Alex Thompson called 71 00:04:21,400 --> 00:04:26,920 Speaker 1: Original Sin was out. I wonder if the conversation being 72 00:04:27,000 --> 00:04:32,120 Speaker 1: so heavily about Joe Biden is now feeding into people's 73 00:04:32,160 --> 00:04:34,960 Speaker 1: like psyche. Oh yeah, this guy was in charge for 74 00:04:35,000 --> 00:04:37,800 Speaker 1: four years and he was not only wrecking the economy 75 00:04:38,200 --> 00:04:42,719 Speaker 1: causing runaway inflation the egg prices were going up, but 76 00:04:42,880 --> 00:04:49,640 Speaker 1: also he was not mentally acute or had mental decline. 77 00:04:50,160 --> 00:04:52,320 Speaker 1: According to some people, he could have had cancer. This 78 00:04:52,520 --> 00:04:56,159 Speaker 1: entire time. Some doctors were on television sitting there and saying, 79 00:04:56,200 --> 00:04:58,800 Speaker 1: there's no way this cancer diagnosis is recent. I don't know. 80 00:04:58,960 --> 00:05:01,600 Speaker 1: I'm not a doctor. I barely pass high school biology. 81 00:05:01,680 --> 00:05:05,599 Speaker 1: But this is I think part of the narrative because 82 00:05:05,720 --> 00:05:09,520 Speaker 1: historically in the twenty sixteen election, in the twenty twenty election, 83 00:05:09,560 --> 00:05:12,120 Speaker 1: and in the twenty twenty four election, when the focus 84 00:05:12,120 --> 00:05:17,240 Speaker 1: has not been on Trump, when that heavy media obsession 85 00:05:17,680 --> 00:05:21,000 Speaker 1: and gaze has not been so focused on Donald Trump 86 00:05:21,080 --> 00:05:22,800 Speaker 1: to the point that they're wondering, if you know how 87 00:05:22,800 --> 00:05:24,840 Speaker 1: many scoops of ice from he eats? Does he have 88 00:05:25,560 --> 00:05:27,720 Speaker 1: the channel of the apes fighting? This was an old 89 00:05:27,839 --> 00:05:30,880 Speaker 1: news headline. But when that focus is not on him 90 00:05:30,960 --> 00:05:33,760 Speaker 1: to a ridiculous standpoint where he's, you know, a fascist 91 00:05:33,760 --> 00:05:37,000 Speaker 1: who's going to end the world, people generally start thinking 92 00:05:37,120 --> 00:05:40,920 Speaker 1: favorably of him. There's an unhealthy news cycle. So I 93 00:05:40,960 --> 00:05:43,719 Speaker 1: think that that is when that is dimmed. Because we're 94 00:05:43,760 --> 00:05:47,120 Speaker 1: focusing on Joe Biden's health so much, and the recession 95 00:05:47,160 --> 00:05:50,400 Speaker 1: that was supposed to happen never did happen. Maybe people's 96 00:05:50,400 --> 00:05:56,479 Speaker 1: feelings on Trump relaxed because the media fears never amounted 97 00:05:56,520 --> 00:05:59,200 Speaker 1: to anything. That's what I think. If Trump can now 98 00:05:59,240 --> 00:06:02,279 Speaker 1: come out in the next few weeks with a deal, 99 00:06:03,320 --> 00:06:05,360 Speaker 1: a trade deal, because he's got a couple I guess 100 00:06:05,360 --> 00:06:07,600 Speaker 1: in the works of the EU and several other countries, 101 00:06:08,400 --> 00:06:12,440 Speaker 1: and if he's able to maybe broke or some kind 102 00:06:12,440 --> 00:06:15,839 Speaker 1: of peace deal with either Iran or slow one of 103 00:06:15,880 --> 00:06:17,960 Speaker 1: the wars down. Not that I don't think Americans cared 104 00:06:17,960 --> 00:06:19,440 Speaker 1: that much about it, but it would be a nice 105 00:06:19,600 --> 00:06:23,480 Speaker 1: news cycle if either the Ukraine or Israel stop fighting. 106 00:06:23,839 --> 00:06:28,279 Speaker 1: That would be more positive praise in his direction. And 107 00:06:28,360 --> 00:06:32,080 Speaker 1: improve upon it at a critical time. We'll see. But 108 00:06:32,279 --> 00:06:35,280 Speaker 1: overall for Trump right now, he's had a very very 109 00:06:35,640 --> 00:06:40,800 Speaker 1: good couple of weeks. Republicans need this improvement as they 110 00:06:40,800 --> 00:06:45,360 Speaker 1: get their tax bill done, as they get the budget passed, 111 00:06:45,480 --> 00:06:48,839 Speaker 1: and all the infighting around it kind of is very 112 00:06:48,880 --> 00:06:52,599 Speaker 1: intense over spending limits and assault deductions and all the 113 00:06:52,600 --> 00:06:54,760 Speaker 1: rest of it, and no tax on tip. But as 114 00:06:54,760 --> 00:06:58,160 Speaker 1: they get those things through the finish line, to sit 115 00:06:58,200 --> 00:07:00,279 Speaker 1: there and try to go to middle class voters, working 116 00:07:00,320 --> 00:07:03,039 Speaker 1: class voters and say and senior citizens and say, look 117 00:07:03,080 --> 00:07:05,320 Speaker 1: what we delivered for you, Please reelect us give us 118 00:07:05,360 --> 00:07:08,719 Speaker 1: the House majority again, which is on the tipping point 119 00:07:08,760 --> 00:07:12,080 Speaker 1: a number of polls. He needs not to seem like 120 00:07:12,080 --> 00:07:14,920 Speaker 1: an essential threat. He needs people to be liking the 121 00:07:15,040 --> 00:07:17,560 Speaker 1: job that he's doing, and right now they are, so 122 00:07:17,880 --> 00:07:21,320 Speaker 1: this is a big win for him. The other thing 123 00:07:21,480 --> 00:07:23,200 Speaker 1: that I wanted to talk about there was another poll 124 00:07:23,280 --> 00:07:26,520 Speaker 1: that didn't get any publicity whatsoever that I thought was 125 00:07:26,880 --> 00:07:29,520 Speaker 1: very interesting. It came out of Siena College. Sana College 126 00:07:29,600 --> 00:07:31,960 Speaker 1: is a college in upstate New York. Never been there, 127 00:07:32,000 --> 00:07:33,720 Speaker 1: but they do work with The New York Times a 128 00:07:33,720 --> 00:07:38,000 Speaker 1: lot during the presidential cycles. They're considered a very accurate polster. 129 00:07:38,040 --> 00:07:40,480 Speaker 1: I think they have got an A rating by most analysts. 130 00:07:41,000 --> 00:07:44,680 Speaker 1: They produced a report on the election coming up for 131 00:07:44,800 --> 00:07:49,280 Speaker 1: governor that wasn't very interesting. But in the election underneath, 132 00:07:49,280 --> 00:07:52,400 Speaker 1: the election of vote them was all primary stuff. So 133 00:07:52,440 --> 00:07:55,640 Speaker 1: Stephanic versus Lawlor for the Republican side and Kathy Helkel 134 00:07:55,720 --> 00:07:59,200 Speaker 1: for the election. None of it was interesting. The interesting thing, though, 135 00:07:59,680 --> 00:08:02,280 Speaker 1: was when and they asked them, as the New Yorkers, 136 00:08:02,360 --> 00:08:04,760 Speaker 1: how they feel on several issues. Right, so like New 137 00:08:04,840 --> 00:08:07,800 Speaker 1: Yorkers still hate congestion pricing, that didn't change. But the 138 00:08:07,880 --> 00:08:11,480 Speaker 1: issues that were very interesting was this. They asked New 139 00:08:11,560 --> 00:08:15,160 Speaker 1: York State residents right, New York State, Liberal Democratic state 140 00:08:15,720 --> 00:08:20,800 Speaker 1: New York State residents if the state government under Governor 141 00:08:20,880 --> 00:08:25,520 Speaker 1: Kathy Hochel should be assisting the Trump administration in deporting 142 00:08:25,640 --> 00:08:32,559 Speaker 1: illegal immigrants. A plurality of New Yorkers said yes. Forty 143 00:08:32,679 --> 00:08:36,280 Speaker 1: five percent of New Yorkers said that the state of 144 00:08:37,000 --> 00:08:39,840 Speaker 1: New York under Governor Kathy Hochel should be working with 145 00:08:39,920 --> 00:08:44,080 Speaker 1: Donald Trump to deport illegal immigrants. Thirty eight percent said no, 146 00:08:44,120 --> 00:08:46,640 Speaker 1: they shouldn't. Twelve percent said they were somewhere in the middle, 147 00:08:46,640 --> 00:08:49,400 Speaker 1: they didn't know how they felt about it. The interesting 148 00:08:49,440 --> 00:08:54,280 Speaker 1: thing was not only was it basically universally yes among Republicans, 149 00:08:54,800 --> 00:08:59,200 Speaker 1: twenty five percent of Democrats said they should be working 150 00:08:59,360 --> 00:09:04,320 Speaker 1: with Trump to deported league immigrants, and a majority of 151 00:09:04,320 --> 00:09:09,600 Speaker 1: Independence fifty one percent of Independence said yes. Other groups 152 00:09:09,600 --> 00:09:13,040 Speaker 1: that had a huge number men fifty percent, not shocking, 153 00:09:13,080 --> 00:09:16,079 Speaker 1: but women women were forty one forty three. They were 154 00:09:16,120 --> 00:09:20,640 Speaker 1: evenly split, which says a lot. They also had almost 155 00:09:20,760 --> 00:09:24,880 Speaker 1: majority of Union members. They had forty percent of residents 156 00:09:24,920 --> 00:09:27,120 Speaker 1: of New York City. New York City I think went 157 00:09:27,200 --> 00:09:30,760 Speaker 1: thirty percent for Trump, so ten points more than voted 158 00:09:30,760 --> 00:09:35,760 Speaker 1: for him wanted his deportation to happen. Fifty percent of 159 00:09:35,800 --> 00:09:40,760 Speaker 1: white residents, twenty seven percent of blacks, and among Hispanics 160 00:09:40,840 --> 00:09:43,080 Speaker 1: it was tied. It was forty one forty three, which 161 00:09:43,120 --> 00:09:45,680 Speaker 1: is tied in the marginal error, but forty one forty 162 00:09:45,720 --> 00:09:49,440 Speaker 1: three said yes. Forty one percent of Latinos. This is 163 00:09:49,480 --> 00:09:54,840 Speaker 1: once again wall two wall negative mainstream news coverage of 164 00:09:54,880 --> 00:09:59,040 Speaker 1: the Maryland Man, of innocent people accidentally being arrested, of 165 00:09:59,360 --> 00:10:02,679 Speaker 1: you know, and fear, and white liberals losing their mind 166 00:10:02,880 --> 00:10:05,640 Speaker 1: each and every single day, and all the ethnic lobby 167 00:10:05,720 --> 00:10:08,479 Speaker 1: coming out and sitting there and saying this is terrorism. 168 00:10:08,600 --> 00:10:13,160 Speaker 1: This is I think. Governor Mike Waltz compared ICE agents 169 00:10:13,200 --> 00:10:17,040 Speaker 1: to the Gestapo very very much, showing how much he 170 00:10:17,120 --> 00:10:21,200 Speaker 1: supports law enforcement. Among Catholics in New York State, it 171 00:10:21,240 --> 00:10:24,400 Speaker 1: was fifty four percent Jews. It was forty seven to 172 00:10:24,440 --> 00:10:26,440 Speaker 1: forty two. They were one of the most liberal groups 173 00:10:26,480 --> 00:10:28,960 Speaker 1: in New York, although the Hasidics and Orthodox are not. 174 00:10:29,040 --> 00:10:34,480 Speaker 1: But the majority population though is pretty liberal. Protestants it 175 00:10:34,520 --> 00:10:38,839 Speaker 1: was fifty five percent, fifty percent of middle income earners. 176 00:10:40,240 --> 00:10:44,560 Speaker 1: That is wild. This is New York State. The other part, 177 00:10:44,640 --> 00:10:47,760 Speaker 1: the other question that there was was would you see 178 00:10:48,000 --> 00:10:54,520 Speaker 1: support a total outright ban on transgender students playing in 179 00:10:54,559 --> 00:10:59,839 Speaker 1: any school and any girls' sport, transgender women being biological 180 00:11:00,080 --> 00:11:03,280 Speaker 1: and playing in girl sports, a total ban in every school. 181 00:11:04,160 --> 00:11:08,280 Speaker 1: Would you want the school districts to decide individually or 182 00:11:08,360 --> 00:11:11,520 Speaker 1: would you want a total support like every school has 183 00:11:11,559 --> 00:11:16,000 Speaker 1: to allow transgender, transgender girls biological men to play in 184 00:11:16,040 --> 00:11:19,480 Speaker 1: girls sports. Right, this is what New York residents said. 185 00:11:20,160 --> 00:11:24,840 Speaker 1: Forty six percent of New York residents wanted a full 186 00:11:25,120 --> 00:11:28,439 Speaker 1: outright ban. They didn't want individual districts to decide. They 187 00:11:28,480 --> 00:11:34,760 Speaker 1: wanted a straightforward ban, including a third of Democrats, fifty 188 00:11:35,200 --> 00:11:40,440 Speaker 1: four percent of independence, fifty percent of men, forty four 189 00:11:40,440 --> 00:11:43,360 Speaker 1: percent of women, which is the biggest plurality of that 190 00:11:43,480 --> 00:11:48,600 Speaker 1: group of women. Right, A plurality of Democrats set a 191 00:11:48,600 --> 00:11:51,040 Speaker 1: full outright ban. A third of Democrats that was higher 192 00:11:51,080 --> 00:11:55,200 Speaker 1: than any other category, A third right, forty percent of 193 00:11:55,240 --> 00:11:58,480 Speaker 1: people in New York City, which was the plurality of 194 00:11:58,520 --> 00:12:01,599 Speaker 1: any of the other categories. Other groups, A majority of 195 00:12:01,600 --> 00:12:03,319 Speaker 1: the people in the suburbs, a majority of the people 196 00:12:03,520 --> 00:12:08,840 Speaker 1: in upstate, forty three percent of black residents. This was 197 00:12:08,880 --> 00:12:13,199 Speaker 1: a majority of Catholics, a majority of Protestants, a plurality 198 00:12:13,240 --> 00:12:15,520 Speaker 1: of Jews. I'm looking at the numbers right now. That 199 00:12:15,679 --> 00:12:19,840 Speaker 1: is incredible in my mind. And here's why it is incredible. 200 00:12:20,200 --> 00:12:24,480 Speaker 1: Those two questions in particular, New York State moved the 201 00:12:24,520 --> 00:12:27,800 Speaker 1: most right of any state in the country in the 202 00:12:27,920 --> 00:12:31,320 Speaker 1: last election. I have lived in New York basically my 203 00:12:31,520 --> 00:12:33,960 Speaker 1: entire life. I know the state very well, I know 204 00:12:34,040 --> 00:12:37,040 Speaker 1: residents very well. It is not that New York State 205 00:12:37,200 --> 00:12:38,960 Speaker 1: is all of a sudden going to be a swing state, 206 00:12:39,000 --> 00:12:41,880 Speaker 1: although I do believe it will continue to move several 207 00:12:41,920 --> 00:12:44,640 Speaker 1: points to the right. If you look at all the 208 00:12:44,679 --> 00:12:49,400 Speaker 1: other questions they asked about free lunches, about like more 209 00:12:50,080 --> 00:12:53,800 Speaker 1: spending on social welfare policies, New Yorkers are overwhelmingly for 210 00:12:53,960 --> 00:12:57,720 Speaker 1: it right. They have a left wing center left access 211 00:12:57,880 --> 00:13:03,120 Speaker 1: to them that high lights why they vote so liberally. However, 212 00:13:04,080 --> 00:13:08,080 Speaker 1: a big, big caveat is on these issues that people 213 00:13:08,240 --> 00:13:13,280 Speaker 1: most associate with failed governance by the Democratic Party. Even 214 00:13:13,640 --> 00:13:16,920 Speaker 1: twenty five to thirty percent of Democrats are willing to 215 00:13:17,040 --> 00:13:20,439 Speaker 1: balk at them. A huge percentage of minorities are willing 216 00:13:20,480 --> 00:13:25,200 Speaker 1: to sit there and say no. Catholics, who historically were 217 00:13:25,600 --> 00:13:27,760 Speaker 1: very Democratic right, there's a lot of Hispanics in the 218 00:13:27,760 --> 00:13:29,720 Speaker 1: Catholic Church in New York, but there's also a lot 219 00:13:29,720 --> 00:13:32,760 Speaker 1: of ethnic Whites in the Catholic Church. New York Union members. 220 00:13:33,040 --> 00:13:35,960 Speaker 1: These are people that should never be aligning with the 221 00:13:36,000 --> 00:13:38,800 Speaker 1: Republican Party and on these issues that are the most 222 00:13:39,480 --> 00:13:45,480 Speaker 1: identifiable with a single party and their governance. You have 223 00:13:46,000 --> 00:13:51,600 Speaker 1: overwhelming numbers on the side of the Conservatives, which explains 224 00:13:52,040 --> 00:13:56,680 Speaker 1: why these overall trends of working class, people, of middle class, 225 00:13:56,679 --> 00:14:00,960 Speaker 1: people of some younger people of ethnic minorities are moving 226 00:14:01,000 --> 00:14:03,280 Speaker 1: away from the Democratic Party even though the despite they 227 00:14:03,280 --> 00:14:07,480 Speaker 1: probably agree with them on most economic issues. They feel 228 00:14:07,600 --> 00:14:13,480 Speaker 1: uncomfortable with mass immigration, they feel uncomfortable with the illegal immigration, 229 00:14:13,520 --> 00:14:17,280 Speaker 1: They feel uncomfortable with the transgender sports issue. There was 230 00:14:17,320 --> 00:14:19,920 Speaker 1: another poll that came out earlier today. I'm recording this 231 00:14:20,000 --> 00:14:23,479 Speaker 1: on Wednesday for the Thursday episode. It was from Wisconsin, 232 00:14:24,200 --> 00:14:27,320 Speaker 1: and they asked would you support a full deportation of 233 00:14:27,360 --> 00:14:31,320 Speaker 1: illegal immigrants? And sixty six percent said yes. This is 234 00:14:31,480 --> 00:14:38,360 Speaker 1: after hyperbolic reactions from Democrats giving worst case scenarios over 235 00:14:38,440 --> 00:14:40,960 Speaker 1: and over and over again, and yet Joe Biden so 236 00:14:41,320 --> 00:14:44,760 Speaker 1: broke the back of the American people when it comes 237 00:14:44,760 --> 00:14:48,880 Speaker 1: to the issue immigration. They do not care. The sympathy 238 00:14:48,920 --> 00:14:53,400 Speaker 1: bank is completely empty. And there is something in our 239 00:14:53,520 --> 00:14:58,880 Speaker 1: culture called how do I put this toxic empathy where 240 00:14:58,920 --> 00:15:02,240 Speaker 1: you are to feel bad for someone who is doing 241 00:15:02,320 --> 00:15:07,000 Speaker 1: you harm. That has been behind the main driver of 242 00:15:07,160 --> 00:15:09,840 Speaker 1: many of our political decisions in our culture, which had 243 00:15:09,880 --> 00:15:11,480 Speaker 1: been very bad for a very long time, and it 244 00:15:11,520 --> 00:15:15,720 Speaker 1: was surrounding our immigration choices for a while, or allowing 245 00:15:15,760 --> 00:15:18,480 Speaker 1: our immigration laws to be skirted for a while. That 246 00:15:18,600 --> 00:15:22,840 Speaker 1: is completely run dry, so very interesting. If the Democratic 247 00:15:22,880 --> 00:15:26,480 Speaker 1: Party continues to be associated with these bad governing policies, 248 00:15:26,520 --> 00:15:28,360 Speaker 1: if they don't make an abrupt u turn like the 249 00:15:28,440 --> 00:15:31,640 Speaker 1: Labor Party, as we mentioned in the last episode about 250 00:15:31,640 --> 00:15:35,040 Speaker 1: what's going on in England right now, then I would 251 00:15:35,040 --> 00:15:37,840 Speaker 1: expect places like New Jersey, California, and New York where 252 00:15:37,880 --> 00:15:40,560 Speaker 1: these issues are front and center because Democrats refuse to 253 00:15:40,640 --> 00:15:44,640 Speaker 1: change ways on it, to be moving more of their 254 00:15:44,720 --> 00:15:47,280 Speaker 1: voters to the right. Maybe we'll make California or New 255 00:15:47,360 --> 00:15:49,720 Speaker 1: York swing state. Maybe we'll make a few more distress competitive. 256 00:15:50,040 --> 00:15:52,520 Speaker 1: It absolutely will be making New Jersey a swing state. 257 00:15:52,920 --> 00:15:55,920 Speaker 1: And I think that's very interesting. There's one more data 258 00:15:55,960 --> 00:15:57,760 Speaker 1: stuff that I want to talk about with you guys. 259 00:15:57,840 --> 00:16:01,000 Speaker 1: It is a blockbuster. Not going to want to miss it. 260 00:16:01,040 --> 00:16:06,800 Speaker 1: Stay tuned for these messages. All right, we are back. 261 00:16:06,840 --> 00:16:09,240 Speaker 1: And the last thing that I wanted to bring up 262 00:16:09,280 --> 00:16:12,120 Speaker 1: to you as far as the data goes, as far 263 00:16:12,160 --> 00:16:18,360 Speaker 1: as my autistic my autistic marathon goes, is there is 264 00:16:18,400 --> 00:16:20,160 Speaker 1: I know the election was like, you know, months and 265 00:16:20,200 --> 00:16:22,400 Speaker 1: months ago, and everyone's kind of passed it. But there 266 00:16:22,520 --> 00:16:27,680 Speaker 1: is three organizations that do post election reviews that are 267 00:16:27,880 --> 00:16:32,760 Speaker 1: super insightful for describing and analyzing what actually happened, what 268 00:16:32,920 --> 00:16:35,320 Speaker 1: actually went through. I mean, the exit polls came out, 269 00:16:35,320 --> 00:16:37,160 Speaker 1: but like the exit polls are wrong most of the time. 270 00:16:37,480 --> 00:16:40,880 Speaker 1: So there's three organizations. There's David Shore, who is, you know, 271 00:16:41,080 --> 00:16:42,560 Speaker 1: very smart, but I think he's a liberal. I don't 272 00:16:42,560 --> 00:16:44,040 Speaker 1: think he wants to be on with the Beeber guy, 273 00:16:44,080 --> 00:16:45,800 Speaker 1: but who knows. I'm a big fan still. I think 274 00:16:45,800 --> 00:16:47,920 Speaker 1: that he's a genius. His stuff came out a month ago. 275 00:16:47,960 --> 00:16:51,960 Speaker 1: That's where I said that seventy five per according to 276 00:16:52,040 --> 00:16:56,920 Speaker 1: his analysis, seventy five percent of eighteen to twenty one 277 00:16:57,000 --> 00:16:59,240 Speaker 1: year old white men in this country voted for Trump. 278 00:16:59,280 --> 00:17:01,480 Speaker 1: It was the large group that vote of a Trump 279 00:17:01,480 --> 00:17:05,399 Speaker 1: of any demographic. That was his data that came in 280 00:17:05,440 --> 00:17:08,119 Speaker 1: a few months ago. Then there's the Pew Research Center. 281 00:17:08,359 --> 00:17:10,760 Speaker 1: It's coming out in a few weeks to months. I'm 282 00:17:10,760 --> 00:17:12,480 Speaker 1: looking forward to that. I will talk about that. I 283 00:17:12,560 --> 00:17:14,040 Speaker 1: know everyone will be done with it by that point, 284 00:17:14,080 --> 00:17:15,640 Speaker 1: but I will talk about it because I can't get 285 00:17:15,760 --> 00:17:19,760 Speaker 1: enough and then the last is an organization called Catalyst. 286 00:17:20,080 --> 00:17:22,679 Speaker 1: Now they have been doing this since twenty twelve and 287 00:17:22,760 --> 00:17:25,440 Speaker 1: they are out with their report. It came out on Monday. 288 00:17:25,560 --> 00:17:30,159 Speaker 1: It is a blockbuster and it breaks apart a lot 289 00:17:30,400 --> 00:17:34,479 Speaker 1: of what Democrats have excused for Kamala Harris's loss. So 290 00:17:34,520 --> 00:17:37,320 Speaker 1: there's six points I want to go through. The first 291 00:17:37,359 --> 00:17:40,439 Speaker 1: being Democrats said that they had a turnout problem. Right, 292 00:17:40,480 --> 00:17:42,199 Speaker 1: you hear this over and over and over again. Oh, 293 00:17:42,280 --> 00:17:44,120 Speaker 1: if Omar Billigs turned out, they would have he would 294 00:17:44,119 --> 00:17:47,360 Speaker 1: have won. He would have won. Sure, So that was incorrect. 295 00:17:47,680 --> 00:17:53,480 Speaker 1: What the Catalyst information says is that not only was turnout, yes, 296 00:17:53,520 --> 00:17:56,959 Speaker 1: turnout was lower nationwide, but turnout was higher in the 297 00:17:57,000 --> 00:18:00,920 Speaker 1: swing states. So he they you have the turnoff that 298 00:18:01,000 --> 00:18:05,040 Speaker 1: they wanted in swing states. The swing state participation rate 299 00:18:05,480 --> 00:18:09,400 Speaker 1: was over seventy percent, which was higher than the sixty 300 00:18:09,480 --> 00:18:14,399 Speaker 1: four percent nationwide. So there was this excessive higher amount 301 00:18:14,440 --> 00:18:18,000 Speaker 1: of turnout in places like Georgia and Arizona and Nevada 302 00:18:18,040 --> 00:18:20,320 Speaker 1: where they wanted to have massive turnout. They got there, 303 00:18:20,800 --> 00:18:24,600 Speaker 1: but it didn't matter because Trump had won over persuasion. 304 00:18:25,119 --> 00:18:27,760 Speaker 1: People wanted him because they were persuaded to vote for 305 00:18:27,840 --> 00:18:31,639 Speaker 1: him and they were not persuaded to vote for Kamalo. Secondly, 306 00:18:32,480 --> 00:18:36,040 Speaker 1: turnout wasn't the same everywhere. This is something that Democrats 307 00:18:36,160 --> 00:18:40,800 Speaker 1: are right about, but it's not super coherent. Turnout was 308 00:18:40,840 --> 00:18:43,600 Speaker 1: down nationwide from twenty twenty to twenty twenty four, right, 309 00:18:43,800 --> 00:18:48,080 Speaker 1: but it wasn't even across the board. Among white voters, 310 00:18:48,160 --> 00:18:51,960 Speaker 1: it was down one percent. Among blacks, it was down 311 00:18:52,040 --> 00:18:56,399 Speaker 1: five point six percent, among Latinos three percent, and among 312 00:18:56,440 --> 00:19:00,040 Speaker 1: Asians six point seven percent. When you go into the 313 00:19:00,040 --> 00:19:05,520 Speaker 1: Swing States, however, black turnout was down one point six percent, 314 00:19:05,760 --> 00:19:09,320 Speaker 1: among black men two percent. Now, I want you to 315 00:19:09,440 --> 00:19:13,080 Speaker 1: go back to old media interviews in your head if 316 00:19:13,160 --> 00:19:15,800 Speaker 1: you remember them. Like there's Van Jones who was on 317 00:19:15,840 --> 00:19:17,679 Speaker 1: CNN with a few times and he was a very 318 00:19:17,760 --> 00:19:21,280 Speaker 1: nice person. I'm not behind the scenes, gentlemen, but he 319 00:19:21,359 --> 00:19:24,800 Speaker 1: would say all the time that there is this push 320 00:19:25,040 --> 00:19:27,480 Speaker 1: to get black men to support kamal law, to get 321 00:19:27,480 --> 00:19:31,840 Speaker 1: the first woman across the finish line. The Charlemagne, the 322 00:19:31,880 --> 00:19:34,680 Speaker 1: God did the same exact thing. They were all sitting 323 00:19:34,680 --> 00:19:36,399 Speaker 1: there and saying there's this push to get black man. 324 00:19:36,400 --> 00:19:37,919 Speaker 1: We're gonna get black men, We're gonna get black men. 325 00:19:38,000 --> 00:19:41,560 Speaker 1: Didn't get black men In fact, in swing states, even 326 00:19:41,800 --> 00:19:44,360 Speaker 1: where they did the souls, the polls everything, black male 327 00:19:44,400 --> 00:19:49,080 Speaker 1: participation dropped two percent, But guess what black female participation 328 00:19:49,160 --> 00:19:53,560 Speaker 1: dropped as well. Black female participation dropped by one percent 329 00:19:53,920 --> 00:19:56,760 Speaker 1: in swing states. Now, aside from Wisconsin, one percent wouldn't 330 00:19:56,760 --> 00:19:58,440 Speaker 1: have made up the difference. I don't e think what 331 00:19:58,560 --> 00:20:00,520 Speaker 1: blackmen make up ten percent to make one percent, So 332 00:20:00,520 --> 00:20:03,480 Speaker 1: it doesn't really matter. Black women weren't that interested in 333 00:20:03,520 --> 00:20:08,159 Speaker 1: Kamala either. The narrative that Black Americans were not sold 334 00:20:08,240 --> 00:20:13,280 Speaker 1: on Kammala as like being a brown a glass of shatterer, 335 00:20:13,359 --> 00:20:16,560 Speaker 1: the same way they were over Obama. Let's say it's 336 00:20:16,640 --> 00:20:18,760 Speaker 1: true Trump mentioned it, was called a racist for it, 337 00:20:18,760 --> 00:20:21,120 Speaker 1: but even like Janet Jackson was saying it, people were 338 00:20:21,160 --> 00:20:23,639 Speaker 1: saying it all over the all over that there was 339 00:20:23,680 --> 00:20:26,720 Speaker 1: a large percentage of Black America who were not sold 340 00:20:26,720 --> 00:20:28,720 Speaker 1: that she was part of their community and they were 341 00:20:28,720 --> 00:20:31,720 Speaker 1: not needing to go vote for her. White support was 342 00:20:31,840 --> 00:20:33,640 Speaker 1: up one point five percent, but it was mostly driven 343 00:20:33,680 --> 00:20:36,640 Speaker 1: by white women. White women did show up in big numbers, 344 00:20:36,960 --> 00:20:39,320 Speaker 1: it was up for white men as well. Latinos showed 345 00:20:39,400 --> 00:20:43,920 Speaker 1: up and increased numbers as well. Okay, that's that's that's important. 346 00:20:44,280 --> 00:20:49,280 Speaker 1: Second point of the entire thing, the racial breakdown, because 347 00:20:49,359 --> 00:20:53,040 Speaker 1: the white number had decreased the lowest amount nationwide and 348 00:20:53,160 --> 00:20:58,280 Speaker 1: increased the highest in swing states, was unchanged from twenty twenty. 349 00:20:58,359 --> 00:21:01,639 Speaker 1: Now there's this constant notion that, oh, you know, whites 350 00:21:01,680 --> 00:21:04,080 Speaker 1: are decreasing in every electorate. Didn't happen in twenty twenty. 351 00:21:04,119 --> 00:21:06,520 Speaker 1: It didn't happen in twenty sixteen, Monch either. It was 352 00:21:06,560 --> 00:21:08,439 Speaker 1: basically the same in twenty sixteen, but it'd not been 353 00:21:08,480 --> 00:21:11,280 Speaker 1: in twenty twenty four. But the one thing that did 354 00:21:11,320 --> 00:21:15,879 Speaker 1: happen with the racial and an education breakdown that is 355 00:21:15,960 --> 00:21:21,680 Speaker 1: extremely important is for the very first time ever as 356 00:21:21,720 --> 00:21:24,520 Speaker 1: far as I can go back, and this is especially 357 00:21:24,560 --> 00:21:30,160 Speaker 1: of the Catalyst research, non college educated whites were no 358 00:21:30,240 --> 00:21:35,720 Speaker 1: longer the largest voting block in the Democratic coalition. They 359 00:21:35,720 --> 00:21:39,239 Speaker 1: have been surpassed by college educated whites. Believe it or not, 360 00:21:39,600 --> 00:21:42,920 Speaker 1: even though the spokespeople for the Democratic Party absolutely hate 361 00:21:42,960 --> 00:21:45,600 Speaker 1: non college educated white people and trash talk them constantly. 362 00:21:46,359 --> 00:21:51,199 Speaker 1: They were still about a third of all Kamala voters, 363 00:21:51,200 --> 00:21:54,160 Speaker 1: but they were almost forty percent. They were thirty seven 364 00:21:54,200 --> 00:21:59,720 Speaker 1: percent of all guidance supporters versus twenty four percent sorry 365 00:22:00,080 --> 00:22:03,760 Speaker 1: Biden Obama twenty twelve, they were almost They were thirty 366 00:22:03,800 --> 00:22:06,719 Speaker 1: seven percent of all Obama voters and only thirty one 367 00:22:06,760 --> 00:22:10,520 Speaker 1: percent of all Comma voters. Kamala and the Democratic Party, 368 00:22:10,760 --> 00:22:15,280 Speaker 1: because of their aggressive attacks against working class white people, 369 00:22:15,680 --> 00:22:20,280 Speaker 1: have sheed twenty percent of their non college educated white 370 00:22:20,400 --> 00:22:26,719 Speaker 1: voting base, twenty percent of the largest single demographic in 371 00:22:26,760 --> 00:22:29,480 Speaker 1: the country. So while they increase their numbers among college 372 00:22:29,600 --> 00:22:33,240 Speaker 1: educated whites and lost a lot of non college educated whites, 373 00:22:33,240 --> 00:22:35,440 Speaker 1: they've also lost a lot of black support over time 374 00:22:35,440 --> 00:22:39,840 Speaker 1: because of declining participation rates, especially going back to Obama. 375 00:22:40,960 --> 00:22:43,399 Speaker 1: And they're stagnant with the Latinos because as even the 376 00:22:43,480 --> 00:22:47,320 Speaker 1: Latinos are growing in population, they are not increasing their 377 00:22:47,320 --> 00:22:49,520 Speaker 1: size and support for the Democratic Party. It's gotten done 378 00:22:49,520 --> 00:22:52,720 Speaker 1: significantly since Obama. One other caveat that I thought was 379 00:22:52,840 --> 00:22:57,159 Speaker 1: really really interesting, twenty percent of people who voted for 380 00:22:57,160 --> 00:23:01,920 Speaker 1: Trump were non white. That is the biggest single Republican 381 00:23:01,920 --> 00:23:06,040 Speaker 1: candidacy ever as far as a minority constituency, one in five. 382 00:23:06,320 --> 00:23:09,359 Speaker 1: That's never happened before, not even for George W. Bush. 383 00:23:09,520 --> 00:23:12,479 Speaker 1: It is it is the multi racial working class that 384 00:23:12,640 --> 00:23:14,840 Speaker 1: a lot of people have sat there and talked about okay. 385 00:23:15,600 --> 00:23:19,280 Speaker 1: Third point, there is this big notion that like, white 386 00:23:19,320 --> 00:23:21,920 Speaker 1: women are the end of the world, and they're all Karens. 387 00:23:21,920 --> 00:23:23,560 Speaker 1: This is an ocean among like the right, it's all 388 00:23:23,760 --> 00:23:27,200 Speaker 1: white women who are you know, the ones pushing all 389 00:23:27,200 --> 00:23:30,159 Speaker 1: the progressive agenda and they are pushing the Democratic Party 390 00:23:30,200 --> 00:23:34,919 Speaker 1: to the left. White women, however, voted more for Trump 391 00:23:35,440 --> 00:23:40,000 Speaker 1: in this election than they voted for him in the 392 00:23:40,080 --> 00:23:44,600 Speaker 1: last election. Trump won white women in this country. I 393 00:23:44,800 --> 00:23:47,800 Speaker 1: fifty two to forty eight. We got the catalyst, probably 394 00:23:47,800 --> 00:23:49,239 Speaker 1: gets rid of all the third party things, so they 395 00:23:49,240 --> 00:23:51,960 Speaker 1: make it even fifty to fifty fifty two forty eight. 396 00:23:53,840 --> 00:23:58,920 Speaker 1: Among college educated white women, Trump actually improved by one 397 00:23:58,920 --> 00:24:02,359 Speaker 1: point from twenty twenty. He actually did better among college 398 00:24:02,400 --> 00:24:06,120 Speaker 1: educated white women. After I don't know how many times 399 00:24:06,160 --> 00:24:08,199 Speaker 1: I was on the CNN panel hearing about fascism and 400 00:24:08,240 --> 00:24:10,520 Speaker 1: abortion rights and abortion rights and abortion rights and these 401 00:24:10,520 --> 00:24:12,640 Speaker 1: were going to move all these women over. He did 402 00:24:12,680 --> 00:24:18,000 Speaker 1: one point better. All of that rhetoric was nonsense. All 403 00:24:18,040 --> 00:24:22,560 Speaker 1: of that rhetoric was complete and total nonsense. Among white men. 404 00:24:23,320 --> 00:24:26,840 Speaker 1: Among white men without a college degree, Harris only got 405 00:24:26,880 --> 00:24:29,679 Speaker 1: thirty percent of the vote. Now think about it, white 406 00:24:29,680 --> 00:24:32,479 Speaker 1: men are white people are about sixty percent of the country. 407 00:24:32,520 --> 00:24:34,960 Speaker 1: White men are thirty percent White to a college degree 408 00:24:34,960 --> 00:24:37,760 Speaker 1: of twenty percent is the single largest block. Maybe white 409 00:24:37,800 --> 00:24:39,840 Speaker 1: women without a college degree are also similar, but a 410 00:24:39,880 --> 00:24:43,000 Speaker 1: twenty percent one in five voters. They've lost twenty percent 411 00:24:43,040 --> 00:24:45,120 Speaker 1: of their support, more than twenty percent of their support 412 00:24:45,240 --> 00:24:51,680 Speaker 1: with that voting base since twenty twelve, super significant in 413 00:24:51,840 --> 00:24:53,879 Speaker 1: the white vote and why the white vote has The 414 00:24:53,880 --> 00:24:56,520 Speaker 1: white vote has been basically flat though for the last 415 00:24:56,520 --> 00:24:59,600 Speaker 1: couple of election cycles, at forty two percent support for 416 00:24:59,640 --> 00:25:03,600 Speaker 1: demrik Rats. And that is because college college educated whites 417 00:25:03,680 --> 00:25:06,320 Speaker 1: have typically been moving to the left, although in this 418 00:25:06,440 --> 00:25:08,840 Speaker 1: last election they moved to the right. White men with 419 00:25:08,880 --> 00:25:11,679 Speaker 1: a college degree moved six points to the right. I know, 420 00:25:11,720 --> 00:25:13,240 Speaker 1: I'm three on a lot of numbers. I will try 421 00:25:13,280 --> 00:25:15,560 Speaker 1: to rein it back and get back to the narrative. Okay, 422 00:25:16,440 --> 00:25:23,320 Speaker 1: minority men, this is where the popular vote win happened, right, 423 00:25:23,840 --> 00:25:27,480 Speaker 1: It wasn't just I mean, making a Republican president is 424 00:25:27,520 --> 00:25:29,960 Speaker 1: like baking a cake. The batter is the white vote. 425 00:25:30,000 --> 00:25:31,760 Speaker 1: You can't win with if you don't get large sport 426 00:25:31,800 --> 00:25:35,560 Speaker 1: with the white vote. The minority vote is the cream 427 00:25:35,600 --> 00:25:42,080 Speaker 1: filling the the I don't know what are you put 428 00:25:42,080 --> 00:25:45,760 Speaker 1: on a cake? Everything, all the trimmings is the minority vote. 429 00:25:45,760 --> 00:25:47,000 Speaker 1: You can have a cake, but you can't have the 430 00:25:47,040 --> 00:25:50,439 Speaker 1: trimmings about the minority vote. Okay, So that's the popular 431 00:25:50,520 --> 00:25:55,680 Speaker 1: vote win. Among black men, ninety five percent of whom 432 00:25:56,280 --> 00:26:00,040 Speaker 1: voted for Barack Obama, almost one hundred percent universe. So 433 00:26:00,160 --> 00:26:03,960 Speaker 1: ninety percent of Black men vote for Barack Obama. Nine 434 00:26:04,040 --> 00:26:10,480 Speaker 1: percent voted for Kamala Harris inde nine percent. Among battleground 435 00:26:10,760 --> 00:26:12,800 Speaker 1: Black voters it was eighty four. So they did do 436 00:26:12,840 --> 00:26:15,640 Speaker 1: a better job in the battlegrounds where they spent more resources. 437 00:26:16,160 --> 00:26:19,359 Speaker 1: But in the nation as a whole, seventy nine percent. 438 00:26:19,560 --> 00:26:22,080 Speaker 1: If it's seventy nine percent, nation went as a whole, 439 00:26:22,160 --> 00:26:24,960 Speaker 1: and you were taking out place like Georgia and North Carolina, 440 00:26:25,119 --> 00:26:29,840 Speaker 1: in other places like Mississippi, Alabama, probably Texas as a 441 00:26:29,840 --> 00:26:33,160 Speaker 1: decent black population. You're talking about, you know, New York. 442 00:26:33,520 --> 00:26:37,040 Speaker 1: It's probably you know, maybe a third. Trump probably got 443 00:26:37,040 --> 00:26:38,880 Speaker 1: a third of the black vote. If you take out 444 00:26:38,920 --> 00:26:42,199 Speaker 1: that portion among black women, that vote was stagnant, That 445 00:26:42,280 --> 00:26:45,320 Speaker 1: vote is very hardly cemented. It was ninety percent of 446 00:26:45,359 --> 00:26:48,200 Speaker 1: the Black women voted for Trump this time ninety percent 447 00:26:48,280 --> 00:26:51,040 Speaker 1: voted last time. Maybe he went maybe one by half 448 00:26:51,040 --> 00:26:53,159 Speaker 1: a point or less than half a point, but it 449 00:26:53,200 --> 00:26:58,280 Speaker 1: wasn't significant. Black men, though, it is a gigantic drop 450 00:26:58,440 --> 00:27:02,160 Speaker 1: ninety five to seventy nine among black women from twenty 451 00:27:02,200 --> 00:27:04,560 Speaker 1: twelve overs it's a seven point drop, but among black 452 00:27:04,560 --> 00:27:11,240 Speaker 1: men sixteen points. It is substantial. Among black men under 453 00:27:11,280 --> 00:27:16,120 Speaker 1: the age of thirty, it's seventy five percent. One in 454 00:27:16,280 --> 00:27:20,800 Speaker 1: four Black men under the age of thirty voted for 455 00:27:20,960 --> 00:27:27,879 Speaker 1: Donald Trump. That is not a small, insignificant, minor group 456 00:27:27,920 --> 00:27:32,399 Speaker 1: of people. That is not a tiny fraction of a coalition. 457 00:27:32,840 --> 00:27:37,480 Speaker 1: That's one in four of the Democratic Party's base. Among 458 00:27:37,520 --> 00:27:41,359 Speaker 1: Black women under thirty, it was eighty eight percent. So 459 00:27:41,560 --> 00:27:45,440 Speaker 1: it was so younger black people in general, but mostly 460 00:27:45,520 --> 00:27:51,439 Speaker 1: younger Black men, one in four versus go back twenty 461 00:27:51,520 --> 00:27:54,520 Speaker 1: years ago, go back ten years ago to Barack Obama, 462 00:27:55,119 --> 00:27:58,600 Speaker 1: it was like one in twenty five, we're voting four 463 00:27:59,080 --> 00:28:01,919 Speaker 1: for the Republican. Now it's one in four. This is 464 00:28:01,960 --> 00:28:05,280 Speaker 1: a crazy, crazy, crazy shift. Okay, go to latinos now, 465 00:28:05,800 --> 00:28:09,280 Speaker 1: because this is wild. Trump won. This is the second 466 00:28:09,320 --> 00:28:11,760 Speaker 1: time that has been confirmed. But this is this proves it, 467 00:28:11,840 --> 00:28:15,040 Speaker 1: This proves it to be true. Trump won Latino men. 468 00:28:15,359 --> 00:28:17,600 Speaker 1: I think George W. Bush may have won it, but 469 00:28:17,680 --> 00:28:19,560 Speaker 1: the exit polling was really really bad at the time, 470 00:28:19,600 --> 00:28:22,720 Speaker 1: so you can't really trust it. But Trump won Latino 471 00:28:22,760 --> 00:28:27,320 Speaker 1: men by six points. That is insane. He only lost 472 00:28:27,359 --> 00:28:32,240 Speaker 1: the over all Latino vote by eight. This is a group. 473 00:28:32,320 --> 00:28:36,760 Speaker 1: Once again. Hillary won them by forty in the overall 474 00:28:36,800 --> 00:28:40,440 Speaker 1: head to head according to catalysts, she won them seventy thirty. 475 00:28:41,040 --> 00:28:44,280 Speaker 1: Harris won them fifty four to forty six. And the 476 00:28:44,400 --> 00:28:47,800 Speaker 1: craziest thing was they asked them across the ages. They said, 477 00:28:47,840 --> 00:28:51,480 Speaker 1: among ages, right, how old are you? How are you voting? 478 00:28:51,840 --> 00:28:56,760 Speaker 1: Among the ages, young Latinos, millennial Latinos, zoomer Latinos, fifty 479 00:28:56,800 --> 00:28:59,120 Speaker 1: seven percent voted for Harris. It dips down to fifty 480 00:28:59,160 --> 00:29:03,440 Speaker 1: two or Gen xers and early boomers, and then goes 481 00:29:03,480 --> 00:29:07,040 Speaker 1: back up to fifty seven. When you get to late Jane, sorry, 482 00:29:07,080 --> 00:29:10,320 Speaker 1: late boomers and silent generation. So old Latinos and young 483 00:29:10,400 --> 00:29:12,760 Speaker 1: Latinos at fifty seven all the middle of fifty two. 484 00:29:13,200 --> 00:29:18,960 Speaker 1: What does that show you? That shows you that the reconfiguration, 485 00:29:19,280 --> 00:29:25,160 Speaker 1: the realignment of minorities is universal. Now, this isn't true 486 00:29:25,200 --> 00:29:28,040 Speaker 1: for black voters. Black voters. There is a substantial drop 487 00:29:28,200 --> 00:29:31,160 Speaker 1: when you get younger, right, you go to older Black voters, 488 00:29:31,160 --> 00:29:34,600 Speaker 1: it's still over ninety percent. They're immovable. The only way 489 00:29:34,640 --> 00:29:38,400 Speaker 1: Republicans will win those voters they can't. I'm just gonna 490 00:29:38,400 --> 00:29:41,080 Speaker 1: say something else, but they can't. Those voters will be 491 00:29:41,120 --> 00:29:43,680 Speaker 1: Democrats of the day they die. It is the all. 492 00:29:43,720 --> 00:29:46,120 Speaker 1: It is their natural born inheritance. There is no moving 493 00:29:46,160 --> 00:29:48,480 Speaker 1: older Black voters. We can just give up on trying 494 00:29:48,480 --> 00:29:50,239 Speaker 1: to whoever we have is all we're going to have. 495 00:29:50,240 --> 00:29:53,160 Speaker 1: Of the older group, But the younger group, it's like 496 00:29:53,200 --> 00:29:58,600 Speaker 1: a thirteen point overall drop when you include men and women, right, Latinos, 497 00:29:58,760 --> 00:30:02,240 Speaker 1: it's across the board. The only group that is getting 498 00:30:02,320 --> 00:30:06,640 Speaker 1: substantially more democratic as the younger are Asians. And I 499 00:30:06,640 --> 00:30:08,800 Speaker 1: want to it to Asians. In one second, among Asians 500 00:30:09,000 --> 00:30:14,280 Speaker 1: still democratic support for among Asians among for Barack Obama 501 00:30:14,360 --> 00:30:18,520 Speaker 1: twenty twelve, seventy one percent, support for Kamala Harris twenty 502 00:30:18,600 --> 00:30:21,880 Speaker 1: twenty four fifty five percent, another sixteen point drop. This 503 00:30:21,960 --> 00:30:27,560 Speaker 1: is a male revolution, it's a male driven revolution. So 504 00:30:27,800 --> 00:30:30,240 Speaker 1: those are the important things that it's the racial breakdown 505 00:30:30,320 --> 00:30:34,480 Speaker 1: I think is very important. It does substantiate shores earlier conversation. 506 00:30:34,560 --> 00:30:37,240 Speaker 1: It's substantially is what we thought that this was a 507 00:30:37,400 --> 00:30:41,040 Speaker 1: male dominated movement and that the women are moving. But 508 00:30:41,160 --> 00:30:43,200 Speaker 1: it is. But you have to go with the context 509 00:30:43,200 --> 00:30:46,000 Speaker 1: of it's not all white women. In fact, the majority 510 00:30:45,960 --> 00:30:47,960 Speaker 1: of white women's still voter for Republicans, stale voter for 511 00:30:48,040 --> 00:30:53,840 Speaker 1: Donald Trump, and there is increased support among non white 512 00:30:53,880 --> 00:30:57,000 Speaker 1: women who are not black. Black women are just immovable 513 00:30:57,280 --> 00:31:00,240 Speaker 1: in college educated women, college educated white women right. Other 514 00:31:00,640 --> 00:31:02,760 Speaker 1: still moved towards Trump, although they gave the majority of 515 00:31:02,760 --> 00:31:07,640 Speaker 1: their support to Kamala Harris let's I'm gonna, I'm gonna, 516 00:31:07,640 --> 00:31:09,800 Speaker 1: I'm gonna land this plane very soon. I promised, stick 517 00:31:09,840 --> 00:31:12,120 Speaker 1: with me if you're still with me. Right. They gave 518 00:31:12,160 --> 00:31:16,360 Speaker 1: a demographic a demographic breakdown the only group two point 519 00:31:16,400 --> 00:31:21,320 Speaker 1: two things one for the first time in my lifetime, 520 00:31:21,440 --> 00:31:24,080 Speaker 1: first time Catalysts ever seen this. Not my lifetime, I'm 521 00:31:24,120 --> 00:31:26,080 Speaker 1: kind of old now, but first time the Catalyst has 522 00:31:26,120 --> 00:31:32,560 Speaker 1: reported this. Publicans won non college educated voters by double digits, 523 00:31:32,960 --> 00:31:39,160 Speaker 1: first time ever. Right, huge among non college educated whites. Overall, 524 00:31:39,280 --> 00:31:42,760 Speaker 1: they won them by twenty eight points. That's the same 525 00:31:42,840 --> 00:31:45,680 Speaker 1: number he won them by in twenty sixteen. This is 526 00:31:45,760 --> 00:31:51,120 Speaker 1: a general movement among a cementing of that base, non 527 00:31:51,320 --> 00:31:56,040 Speaker 1: college educated white voters that you have to have to 528 00:31:56,360 --> 00:32:00,160 Speaker 1: have to hear this point. It is so essential on 529 00:32:00,360 --> 00:32:06,680 Speaker 1: college educated white voters were the only group in America demographically, 530 00:32:06,920 --> 00:32:10,560 Speaker 1: education and race base right to give a majority of 531 00:32:10,600 --> 00:32:15,240 Speaker 1: their support for Donald Trump. College educated whites didn't, Blacks 532 00:32:15,280 --> 00:32:20,360 Speaker 1: didn't of any college education, Latinos didn't, Asians didn't, others didn't. 533 00:32:20,920 --> 00:32:26,680 Speaker 1: It was solely, solely based on the vote of the 534 00:32:26,760 --> 00:32:30,040 Speaker 1: non college educated white that gave a majority of their 535 00:32:30,080 --> 00:32:33,440 Speaker 1: support to Donald Trump. I say that not because I 536 00:32:33,440 --> 00:32:35,400 Speaker 1: want to emphasize that one group is better than the 537 00:32:35,400 --> 00:32:37,360 Speaker 1: other or more loyal than the other. I want to 538 00:32:37,400 --> 00:32:41,600 Speaker 1: say that because when we have conversations around what can 539 00:32:41,680 --> 00:32:45,080 Speaker 1: the Republican Party do more for black voters or Latino voters, 540 00:32:45,200 --> 00:32:47,360 Speaker 1: or this group or that group, or women or whatnot, 541 00:32:48,200 --> 00:32:51,680 Speaker 1: I think it's very important to understand and to remind 542 00:32:51,680 --> 00:32:56,160 Speaker 1: ourselves who is bringing home the votes to get a 543 00:32:56,240 --> 00:33:00,280 Speaker 1: Republican elected. It is non college educated white voters. What 544 00:33:00,360 --> 00:33:04,440 Speaker 1: is the Trump administration? What are Republicans? Congressional Republicans are they? 545 00:33:04,520 --> 00:33:07,880 Speaker 1: What are the Republican governors? What are they doing for them? 546 00:33:08,280 --> 00:33:11,680 Speaker 1: For all the analysts dribble, we have to hear constantly 547 00:33:12,080 --> 00:33:14,920 Speaker 1: about what are we doing to sit there and shed 548 00:33:15,240 --> 00:33:19,080 Speaker 1: one percentage more among black women? What are we doing 549 00:33:19,080 --> 00:33:23,960 Speaker 1: to deliver support for our voters, whether that be tax cuts, 550 00:33:23,960 --> 00:33:27,640 Speaker 1: whether that be opioid relief because their population has been 551 00:33:27,760 --> 00:33:31,000 Speaker 1: deficit with the opioid effect, pro family stuff. What are 552 00:33:31,040 --> 00:33:34,560 Speaker 1: we doing for those voters on all those issues? That 553 00:33:34,600 --> 00:33:37,360 Speaker 1: should be the question Republicans should take from this as Wow, 554 00:33:37,600 --> 00:33:39,560 Speaker 1: these are the only will give us a majority support? 555 00:33:39,640 --> 00:33:42,160 Speaker 1: What are we doing for them? Has to be emphasized. Okay, 556 00:33:43,160 --> 00:33:46,800 Speaker 1: landing the plane once again, back to the age range thing. 557 00:33:47,400 --> 00:33:52,200 Speaker 1: Kamala Harris lost support among every single age range in 558 00:33:52,240 --> 00:33:55,600 Speaker 1: the country. I had said this a while ago, that 559 00:33:55,800 --> 00:33:58,720 Speaker 1: these polls were coming out New York Times, Sienna, especially 560 00:33:59,000 --> 00:34:03,160 Speaker 1: where Harris seniors by like twenty points in Pennsylvania and 561 00:34:03,200 --> 00:34:05,400 Speaker 1: Wisconsin and she was going to win the senior vote. 562 00:34:05,440 --> 00:34:07,040 Speaker 1: The number of polls that said she was going to 563 00:34:07,080 --> 00:34:10,440 Speaker 1: win the senior vote were were out of control. They 564 00:34:10,440 --> 00:34:13,160 Speaker 1: were out of control. They were completely insane, and I 565 00:34:13,200 --> 00:34:16,480 Speaker 1: didn't believe it for a second. Turns out it wasn't true. 566 00:34:16,680 --> 00:34:20,640 Speaker 1: Senior citizens voted majority for Trump and actually increased their 567 00:34:20,680 --> 00:34:25,720 Speaker 1: support for Donald Trump among Trump also won every age 568 00:34:25,800 --> 00:34:28,640 Speaker 1: range of white voters. White voters between the age of 569 00:34:28,680 --> 00:34:31,240 Speaker 1: eighteen to twenty nine voted for Trump by two points. 570 00:34:31,239 --> 00:34:33,400 Speaker 1: This was a group that voted for Joe Biden. They 571 00:34:33,440 --> 00:34:36,120 Speaker 1: had moved eight points to the right for Donald Trump. 572 00:34:36,360 --> 00:34:37,840 Speaker 1: This is once again it goes back to what the 573 00:34:37,960 --> 00:34:40,279 Speaker 1: David Shore was saying, where he said young people under 574 00:34:40,280 --> 00:34:42,880 Speaker 1: twenty one who had lived during the worst of COVID 575 00:34:42,880 --> 00:34:45,480 Speaker 1: were the most radical right wing. So maybe he was 576 00:34:45,480 --> 00:34:49,239 Speaker 1: onto something right there. Double digit support and swing for 577 00:34:49,360 --> 00:34:53,640 Speaker 1: Trump came from every bracket of Latino voters, over twenty 578 00:34:53,680 --> 00:34:57,919 Speaker 1: points among young Latinos, double digits among Black voters under 579 00:34:57,920 --> 00:35:01,120 Speaker 1: the age of forty five, and and a twenty point 580 00:35:01,160 --> 00:35:05,560 Speaker 1: margin a twenty point swaying towards Trump among Asians in 581 00:35:05,600 --> 00:35:09,480 Speaker 1: that category. That's also very important and why it's important 582 00:35:09,520 --> 00:35:15,359 Speaker 1: one is seniors are changing, right people. People have come 583 00:35:15,400 --> 00:35:16,759 Speaker 1: up to me a lot and say, what's going on 584 00:35:16,800 --> 00:35:19,200 Speaker 1: with the senior But why are seniors becoming more liberal? 585 00:35:19,239 --> 00:35:22,839 Speaker 1: They are not becoming more liberal. The seniors you have 586 00:35:22,960 --> 00:35:27,360 Speaker 1: in your head as seniors are probably like your grandparents, 587 00:35:28,040 --> 00:35:31,480 Speaker 1: or their friends who may or may not have passed away, 588 00:35:32,000 --> 00:35:34,439 Speaker 1: right and increased likelihood. That's what comes with the age. 589 00:35:34,480 --> 00:35:36,719 Speaker 1: It's sad. I'm not wishing anything, but that is what 590 00:35:36,760 --> 00:35:41,040 Speaker 1: the truth is. Archie Bunker has passed away. Meathead is 591 00:35:41,080 --> 00:35:45,600 Speaker 1: a senior. Henry Fonder Fonda has passed away. Jane Fonda 592 00:35:45,760 --> 00:35:49,640 Speaker 1: is a senior. The liberal baby boomers are in their 593 00:35:49,680 --> 00:35:55,560 Speaker 1: seventies and eighties, the greatest generation, the people who worked 594 00:35:55,560 --> 00:36:00,160 Speaker 1: for Richard Nixon, the people who worked against the counter culturalists, 595 00:36:00,560 --> 00:36:03,359 Speaker 1: the ones that you probably were seniors in your mind 596 00:36:03,400 --> 00:36:05,279 Speaker 1: in the early two thousands, if you were like me, 597 00:36:05,400 --> 00:36:07,560 Speaker 1: you're a millennial, and you know you watch little giants 598 00:36:07,560 --> 00:36:10,279 Speaker 1: growing up. Those people, the World War II veterans that 599 00:36:10,320 --> 00:36:12,040 Speaker 1: you see in the stands who are rooting on the 600 00:36:12,080 --> 00:36:16,480 Speaker 1: pee football team, they're almost all gone. And it's the 601 00:36:16,600 --> 00:36:19,279 Speaker 1: liberals who were middle aged at the time who are 602 00:36:19,320 --> 00:36:22,600 Speaker 1: part of the counterculture that are like of the Joe 603 00:36:22,600 --> 00:36:25,280 Speaker 1: Biden's era, or a little young or a little older, 604 00:36:25,680 --> 00:36:29,160 Speaker 1: who are the ones who are seniors now. Nonetheless, and 605 00:36:29,239 --> 00:36:31,960 Speaker 1: yet still they didn't know for a majority for Kamala Harris, 606 00:36:32,000 --> 00:36:34,480 Speaker 1: which was a narrative the media was pushing endlessly. It's 607 00:36:34,520 --> 00:36:36,879 Speaker 1: a narrative David Shup push which I disagreed with his data. 608 00:36:36,920 --> 00:36:39,800 Speaker 1: I agree with the Kittle Catalyst data. Those are the 609 00:36:39,880 --> 00:36:44,400 Speaker 1: narratives worth dispelling, worth breaking down. I had to go 610 00:36:44,480 --> 00:36:46,160 Speaker 1: into it. I know that was long winded. I know 611 00:36:46,200 --> 00:36:48,440 Speaker 1: that that was probably a lot for people to listen to. 612 00:36:48,560 --> 00:36:51,880 Speaker 1: But thank you for hearing all the numbers because it's 613 00:36:51,920 --> 00:36:54,080 Speaker 1: a numbers game. Okay, So this is the part of 614 00:36:54,080 --> 00:36:56,560 Speaker 1: the podcast where I talk about I do you know 615 00:36:57,080 --> 00:37:00,359 Speaker 1: questions I asked me anything segment? Ryant Email me Ryan 616 00:37:00,400 --> 00:37:03,480 Speaker 1: at Numbers Game Podcast dot com, Ryan at Numbers Plural, 617 00:37:03,560 --> 00:37:05,799 Speaker 1: Numbers gamepodcast dot com. You can tweet me. I'm gonna 618 00:37:05,800 --> 00:37:08,040 Speaker 1: put a pin tweet where I'll take questions from Twitter. 619 00:37:08,120 --> 00:37:10,319 Speaker 1: If you no one can take the time to email me, 620 00:37:10,360 --> 00:37:13,120 Speaker 1: It's fine you guys send me questions. I love to 621 00:37:13,160 --> 00:37:16,359 Speaker 1: answer them on literally anything. That's what I usually do. 622 00:37:16,600 --> 00:37:20,000 Speaker 1: But this week I came across a piece of gossip 623 00:37:20,960 --> 00:37:22,640 Speaker 1: that I have to tell you guys about. I haven't 624 00:37:22,640 --> 00:37:24,759 Speaker 1: tweeted this, I haven't talked about it. I'm saving it 625 00:37:24,920 --> 00:37:28,480 Speaker 1: specifically for you. It's about a member of Congress. It 626 00:37:28,600 --> 00:37:31,279 Speaker 1: is some of the wildest stories I've ever heard it 627 00:37:31,360 --> 00:37:34,640 Speaker 1: is George Santos on steroids. I'll be back with it 628 00:37:34,680 --> 00:37:41,080 Speaker 1: after these messages. Okay, we are back for the final segment, 629 00:37:41,080 --> 00:37:43,040 Speaker 1: which is usually where I ask take questions, and I 630 00:37:43,040 --> 00:37:45,080 Speaker 1: want your questions. Email me Ryan at numbers Game dot 631 00:37:45,120 --> 00:37:48,520 Speaker 1: com right Ryan at numbers Game podcast dot com. Sorry 632 00:37:48,560 --> 00:37:51,839 Speaker 1: by that, guys. Okay, so there is a Republican member 633 00:37:51,880 --> 00:37:54,080 Speaker 1: of Congress. Stories are in the works right now, so 634 00:37:54,080 --> 00:37:56,560 Speaker 1: I don't want to burst anyone's but some have been 635 00:37:56,560 --> 00:38:00,239 Speaker 1: published already. This is a member of Congress. I'm not 636 00:38:00,239 --> 00:38:02,000 Speaker 1: going to say the name because it's going to come 637 00:38:02,000 --> 00:38:03,600 Speaker 1: out publicly, but I will give you an offense where 638 00:38:03,600 --> 00:38:05,840 Speaker 1: if you're in the know, you will know. This is 639 00:38:05,880 --> 00:38:11,799 Speaker 1: somebody who was a police had shown up at his 640 00:38:11,920 --> 00:38:17,640 Speaker 1: house because he was having a domestic with his girlfriend, 641 00:38:18,320 --> 00:38:19,560 Speaker 1: even though at the time he had said he was 642 00:38:19,600 --> 00:38:22,960 Speaker 1: married to another woman. This is a person who has 643 00:38:23,000 --> 00:38:27,560 Speaker 1: said that he has over exaggerated his military service to 644 00:38:27,600 --> 00:38:30,520 Speaker 1: the point where it could be possibly considered stolen valor 645 00:38:30,840 --> 00:38:33,439 Speaker 1: if you're in the military. I'm not so I don't 646 00:38:33,480 --> 00:38:35,839 Speaker 1: know what the record says for that are, but I've 647 00:38:35,880 --> 00:38:37,600 Speaker 1: heard people in the military say it's the degree that 648 00:38:37,600 --> 00:38:41,040 Speaker 1: it's stolen valor. I have heard, and I'm going to 649 00:38:41,040 --> 00:38:42,960 Speaker 1: get the journalist on here who's been working on it. 650 00:38:43,440 --> 00:38:48,600 Speaker 1: I have heard his dealings, his business dealings, or to 651 00:38:48,680 --> 00:38:53,640 Speaker 1: the millions and millions of dollars of debt, millions of 652 00:38:53,680 --> 00:39:01,000 Speaker 1: dollars of debt, that it's extremely shady and I'm not 653 00:39:01,080 --> 00:39:04,000 Speaker 1: sure if the debtors, the people who are lending money 654 00:39:04,040 --> 00:39:08,240 Speaker 1: are even American. This is somebody who has been trying 655 00:39:08,280 --> 00:39:15,280 Speaker 1: to sleep with every single conservative influencer woman in the business, 656 00:39:15,320 --> 00:39:19,000 Speaker 1: saying repeated lies over and over and over again. And 657 00:39:19,040 --> 00:39:24,280 Speaker 1: then this was the craziest thing. Multiple of these women 658 00:39:24,880 --> 00:39:31,560 Speaker 1: told me that he was trying to convert them to Islam. Now, 659 00:39:31,640 --> 00:39:35,200 Speaker 1: this is not a reported Muslim. This is somebody who 660 00:39:35,200 --> 00:39:37,280 Speaker 1: says that he's a Christian, who where is his religion 661 00:39:37,280 --> 00:39:42,160 Speaker 1: on his sleeve? Stories had emerged that he was married 662 00:39:42,560 --> 00:39:46,319 Speaker 1: by a very prominent in mom in a mosque by 663 00:39:46,360 --> 00:39:49,319 Speaker 1: the unindicted co conspirator of the nineteen ninety three World 664 00:39:49,360 --> 00:39:52,200 Speaker 1: Trades utder bombing, that all of his business dealings are 665 00:39:52,239 --> 00:39:59,080 Speaker 1: extraordinarily shady and weird, that his military record is completely 666 00:39:59,280 --> 00:40:03,560 Speaker 1: and totally f acated, if not fabricated, over exaggerated, and 667 00:40:03,600 --> 00:40:08,640 Speaker 1: there are multiple women speaking constantly with each other that 668 00:40:08,760 --> 00:40:11,640 Speaker 1: he has created lies about the state of one his 669 00:40:11,719 --> 00:40:13,799 Speaker 1: marriage where he says he's divorced when he's when he 670 00:40:13,880 --> 00:40:15,719 Speaker 1: wasn't at the time, or maybe now he's divorced, but 671 00:40:15,760 --> 00:40:18,600 Speaker 1: he wasn't at the time. And then once he gets 672 00:40:18,600 --> 00:40:23,439 Speaker 1: in these relationships with them, these precarious relationships, they find 673 00:40:23,440 --> 00:40:25,960 Speaker 1: themselves in position where they feel like they are threatened, 674 00:40:26,440 --> 00:40:30,600 Speaker 1: and he spends time to sit there and say, I 675 00:40:30,600 --> 00:40:32,839 Speaker 1: think the exact quotes that he was saying to them 676 00:40:32,920 --> 00:40:35,879 Speaker 1: is how Islam and Christianity were close to the same thing, 677 00:40:36,160 --> 00:40:38,520 Speaker 1: even though I'm not a religious scholar, but I know 678 00:40:38,600 --> 00:40:41,800 Speaker 1: that much they're not. And he was married by the 679 00:40:41,920 --> 00:40:46,320 Speaker 1: nineteen ninety three World Trade Center conspirat, a co conspirator. 680 00:40:47,560 --> 00:40:49,640 Speaker 1: I am going to give it to the journalist. I'm 681 00:40:49,640 --> 00:40:51,640 Speaker 1: going to invite him up. When this story is up, 682 00:40:52,320 --> 00:40:54,440 Speaker 1: and there's a woman to who's doing another story on this, 683 00:40:54,480 --> 00:40:56,400 Speaker 1: I'm going to write them both to talk about this. 684 00:40:56,480 --> 00:40:58,640 Speaker 1: I know this is not typically a numbers game. It 685 00:40:58,760 --> 00:41:03,200 Speaker 1: is the craziest, most salacious, most interesting news story about 686 00:41:03,200 --> 00:41:05,120 Speaker 1: a person. If Donald Trump was not an office right now. 687 00:41:05,160 --> 00:41:07,440 Speaker 1: This would be the front page of every single newspaper. 688 00:41:07,520 --> 00:41:10,840 Speaker 1: This would be George Sando's on crack. But you know 689 00:41:10,840 --> 00:41:12,560 Speaker 1: the media can only focus on Trump. That is my 690 00:41:12,600 --> 00:41:15,080 Speaker 1: dog snoring, by the way, Smory about that. That's that 691 00:41:15,120 --> 00:41:18,279 Speaker 1: little yelp that you hear. That's not me. It is 692 00:41:18,320 --> 00:41:21,799 Speaker 1: a wild story. Not many people are covering it. I'm 693 00:41:21,840 --> 00:41:25,920 Speaker 1: going to when this comes out because people's heads are 694 00:41:26,000 --> 00:41:29,200 Speaker 1: going to explode. It is crazy. That's my little piece 695 00:41:29,200 --> 00:41:33,040 Speaker 1: of gossip. Send me your messages Ryan at numbers gamepodcast 696 00:41:33,080 --> 00:41:36,520 Speaker 1: dot com. Please like and subscribe to this podcast and 697 00:41:36,600 --> 00:41:39,640 Speaker 1: iHeartRadio app, Apple podcasts, wherever podcasts are we ever give 698 00:41:39,680 --> 00:41:42,919 Speaker 1: your podcast. I have some incredible guests coming up next 699 00:41:42,920 --> 00:41:44,840 Speaker 1: week and the week after. You will not want to 700 00:41:44,880 --> 00:41:47,640 Speaker 1: miss it. Please like and subscribe, give me a five 701 00:41:47,680 --> 00:41:49,560 Speaker 1: star review if you're feeling generous, and I will see 702 00:41:49,600 --> 00:41:50,520 Speaker 1: you guys next week