1
00:00:02,360 --> 00:00:05,120
Speaker 1: Welcome back to a numbers game podcast. Happy Monday. I

2
00:00:05,160 --> 00:00:07,960
Speaker 1: hope you have had a great day so far. I

3
00:00:08,039 --> 00:00:10,520
Speaker 1: want to tell you all the whole story. The year

4
00:00:10,600 --> 00:00:13,720
Speaker 1: was nineteen ninety four, and there was once a boy

5
00:00:13,800 --> 00:00:17,119
Speaker 1: named Ryan and his mother made him broccoli and he

6
00:00:17,200 --> 00:00:19,440
Speaker 1: threw it out and blamed his little brother and it

7
00:00:19,560 --> 00:00:23,480
Speaker 1: wasn't right. And I did do it, and my brother

8
00:00:23,560 --> 00:00:26,000
Speaker 1: never forgot it. But thirty one years later, I received

9
00:00:26,000 --> 00:00:31,040
Speaker 1: a screenshot on my phone from that said brother showing

10
00:00:31,160 --> 00:00:34,440
Speaker 1: my picture of my podcast with a one star review. Now,

11
00:00:34,479 --> 00:00:36,800
Speaker 1: I know I'm not a hero in this story or

12
00:00:36,840 --> 00:00:39,720
Speaker 1: a victim in any sense of the word. But if

13
00:00:39,800 --> 00:00:42,680
Speaker 1: you think a thirty one year vengeance tour is a

14
00:00:42,680 --> 00:00:45,240
Speaker 1: little too much, please give me a five star review

15
00:00:45,320 --> 00:00:51,080
Speaker 1: on Apple Podcasts or Spotify or regular listeners podcast. I

16
00:00:51,120 --> 00:00:54,240
Speaker 1: think a thirty one year jihad is needs a little

17
00:00:54,560 --> 00:00:58,000
Speaker 1: support from my listeners, so please like and subscribe and

18
00:00:58,000 --> 00:00:59,440
Speaker 1: give me a five star review. I needed to get

19
00:00:59,480 --> 00:01:00,840
Speaker 1: that out of the way because I thought it was

20
00:01:00,880 --> 00:01:03,920
Speaker 1: one hilarious and my brother did that and too. Always

21
00:01:04,000 --> 00:01:06,039
Speaker 1: encouraging people to give a review to the podcast because

22
00:01:06,080 --> 00:01:08,520
Speaker 1: it does help if people find it and listen to it.

23
00:01:08,640 --> 00:01:11,039
Speaker 1: So this episode is a bit of a mashup. I

24
00:01:11,080 --> 00:01:13,600
Speaker 1: have some data, I have an interview, and I have

25
00:01:13,720 --> 00:01:16,959
Speaker 1: some fascinating DC gossip that I think you'll all really like,

26
00:01:17,000 --> 00:01:18,840
Speaker 1: and then of course ask me anything. So first on

27
00:01:18,880 --> 00:01:21,679
Speaker 1: the data. Everyone is talking about the New York Times

28
00:01:21,760 --> 00:01:26,920
Speaker 1: article about voter registration and the Democrats numbers plummeting nationwide. Now,

29
00:01:26,920 --> 00:01:28,760
Speaker 1: for those who listen to the show very often, I

30
00:01:28,800 --> 00:01:31,880
Speaker 1: have talked about this a lot New Jersey in California especially,

31
00:01:31,920 --> 00:01:36,199
Speaker 1: and how it has reflected poorly on the Democratic Party. Unfortunately,

32
00:01:36,200 --> 00:01:39,000
Speaker 1: most Americans don't listen to this podcast. So the Times

33
00:01:39,080 --> 00:01:41,880
Speaker 1: article seems like it's brand new, and I want to

34
00:01:41,920 --> 00:01:44,920
Speaker 1: go through the information really explain it to you in

35
00:01:44,959 --> 00:01:47,280
Speaker 1: a deep way. The article is by Shane Goldmacher and

36
00:01:47,360 --> 00:01:49,720
Speaker 1: Jonah Smith. I'm not familiar with Jonah Smith, but Shane's

37
00:01:49,720 --> 00:01:52,880
Speaker 1: a very solid journalist. I actually invite him on this podcast.

38
00:01:52,960 --> 00:01:56,360
Speaker 1: So he writes the Democratic Party is hemorrhaging voters long

39
00:01:56,440 --> 00:01:59,160
Speaker 1: before they even go to the poles. Of the thirties

40
00:01:59,240 --> 00:02:02,880
Speaker 1: dates that track to registration by political party, Democrats lost

41
00:02:02,880 --> 00:02:06,080
Speaker 1: ground to Republicans in every single one between twenty twenty

42
00:02:06,240 --> 00:02:08,920
Speaker 1: and twenty twenty four, often by a lot. The four

43
00:02:09,040 --> 00:02:12,000
Speaker 1: year swing towards Republicans add up to four point five

44
00:02:12,400 --> 00:02:16,160
Speaker 1: million voters, a deep political hole that could take Democrats

45
00:02:16,240 --> 00:02:19,120
Speaker 1: years to climb out for out of And they use

46
00:02:19,280 --> 00:02:20,440
Speaker 1: L two data to cite this.

47
00:02:20,480 --> 00:02:22,160
Speaker 2: All I've used L two. L two is just a

48
00:02:22,240 --> 00:02:25,640
Speaker 2: voter data company.

49
00:02:25,760 --> 00:02:27,320
Speaker 1: So basically, if I say, hey, I'm going to do

50
00:02:27,320 --> 00:02:30,360
Speaker 1: a school board election in lim Brook, Long Island, or

51
00:02:30,360 --> 00:02:32,680
Speaker 1: whatever the case is, L two can provide me data

52
00:02:32,720 --> 00:02:35,000
Speaker 1: of who's likely to vote most most often, what party

53
00:02:35,000 --> 00:02:37,720
Speaker 1: they're registered under. It's a good company anyway. They use

54
00:02:37,760 --> 00:02:41,480
Speaker 1: that data to justify what they're talking about. So a

55
00:02:41,480 --> 00:02:44,480
Speaker 1: little background in fact, For the first instance, twenty eighteen

56
00:02:44,560 --> 00:02:47,800
Speaker 1: more new voters nationwide chose to be Republicans than Democrats

57
00:02:47,880 --> 00:02:50,840
Speaker 1: last year. All told, Democrats lost two point one million

58
00:02:50,919 --> 00:02:53,320
Speaker 1: registered voters between twenty twenty and twenty twenty four in

59
00:02:53,360 --> 00:02:56,520
Speaker 1: those thirty states that allow people to register by political party,

60
00:02:56,520 --> 00:02:59,240
Speaker 1: and Republicans gain two point four million. Consider this, In

61
00:02:59,280 --> 00:03:04,040
Speaker 1: twenty eighteen, Democrats accounted for thirty four percent of new

62
00:03:04,320 --> 00:03:08,160
Speaker 1: voter registrations nationwide. Republicans were only twenty get In twenty

63
00:03:08,200 --> 00:03:12,240
Speaker 1: twenty four, Republicans had overtaken Democrats. For years, the left

64
00:03:12,240 --> 00:03:16,200
Speaker 1: had relied on sprawling network of nonprofits which solicit donations

65
00:03:16,200 --> 00:03:20,320
Speaker 1: from people whose identities they do not disclose, to register

66
00:03:20,440 --> 00:03:24,480
Speaker 1: black and Latino young voters. Though the groups are technically nonpartisan,

67
00:03:24,880 --> 00:03:28,600
Speaker 1: there is an underlying assumption that most of these voters

68
00:03:28,639 --> 00:03:31,799
Speaker 1: will be Democrat. You can't just register young Latino or

69
00:03:31,840 --> 00:03:34,000
Speaker 1: young black voter and assume that they're going to know

70
00:03:34,080 --> 00:03:37,080
Speaker 1: that it's Democrat and that they have the best policies,

71
00:03:37,160 --> 00:03:40,560
Speaker 1: says MS. Cardona, who is a liberal person. Okay, so

72
00:03:41,360 --> 00:03:44,640
Speaker 1: stop right there with the article. Buck Sexton had mentioned

73
00:03:44,680 --> 00:03:46,480
Speaker 1: this in his podcast, and he was one hundred percent right.

74
00:03:46,640 --> 00:03:53,600
Speaker 1: Liberals have been scamming tax nonprofit statuses for years to

75
00:03:53,760 --> 00:03:58,480
Speaker 1: bolster Democratic voter registration. They knew that going into major

76
00:03:58,600 --> 00:04:02,600
Speaker 1: urban areas and looking for someone with dark skin would

77
00:04:02,640 --> 00:04:05,560
Speaker 1: be a positive assumption that they are more than likely

78
00:04:05,640 --> 00:04:07,840
Speaker 1: than not to be Democrat, and probably nine times out

79
00:04:07,880 --> 00:04:12,280
Speaker 1: of ten in many cases. But these nonprofits, and I

80
00:04:12,320 --> 00:04:15,040
Speaker 1: give them credit, I mean, listen, they have worked the

81
00:04:15,080 --> 00:04:19,240
Speaker 1: system for a long time to give tax breaks to

82
00:04:19,320 --> 00:04:21,599
Speaker 1: these liberal donors. Basically, a liberal donor will give a

83
00:04:21,680 --> 00:04:24,480
Speaker 1: nonprofit a million dollars or however how much they get

84
00:04:24,480 --> 00:04:26,880
Speaker 1: to write off on their taxes as being you know,

85
00:04:27,320 --> 00:04:30,640
Speaker 1: beneficial to society, and Democrats get more into registered voters.

86
00:04:30,640 --> 00:04:33,080
Speaker 1: I mean, at least Scott Presler has a super pack

87
00:04:33,120 --> 00:04:35,560
Speaker 1: where he doesn't get a tax break, you know, for

88
00:04:35,720 --> 00:04:40,000
Speaker 1: registering Republicans. This is explicitly using the tax code to

89
00:04:40,000 --> 00:04:43,960
Speaker 1: benefit to benefit Democrats. They claim that the reason they

90
00:04:44,080 --> 00:04:46,760
Speaker 1: can't do this anymore though in the same capacity that

91
00:04:46,800 --> 00:04:49,200
Speaker 1: they used to, is because of President Trump and how

92
00:04:49,279 --> 00:04:54,679
Speaker 1: President Trump has changed the parties. So what they're missing

93
00:04:54,760 --> 00:04:56,960
Speaker 1: from the story, what Democrats are missing from this narrative,

94
00:04:56,960 --> 00:04:59,240
Speaker 1: And with the New York Times reporters, and they're good reporters,

95
00:04:59,240 --> 00:05:01,920
Speaker 1: but what they're missing from this is that this didn't

96
00:05:01,960 --> 00:05:05,520
Speaker 1: happen between twenty and twenty four. It did partially, but

97
00:05:05,640 --> 00:05:09,120
Speaker 1: this has been going on for a long time, right,

98
00:05:09,240 --> 00:05:12,480
Speaker 1: this at least the last four election cycles. So there's

99
00:05:12,680 --> 00:05:15,400
Speaker 1: for a liberal firm called Catalyst, and they did this

100
00:05:15,520 --> 00:05:17,560
Speaker 1: big breakdown of the twenty twenty four election in the

101
00:05:17,600 --> 00:05:24,280
Speaker 1: past four elections, specifically looking at young minorities Democrats. This

102
00:05:24,320 --> 00:05:27,200
Speaker 1: is among young black men, young black men being those

103
00:05:27,200 --> 00:05:30,560
Speaker 1: who are under thirty years old. Democrats won ninety four

104
00:05:30,640 --> 00:05:34,200
Speaker 1: percent of young black men in twenty twelve, ninety percent

105
00:05:34,240 --> 00:05:37,960
Speaker 1: in twenty sixteen, eighty five percent in twenty twenty, and

106
00:05:38,120 --> 00:05:41,359
Speaker 1: seventy five percent in twenty twenty four. That means that

107
00:05:41,480 --> 00:05:46,200
Speaker 1: a quote nonprofit that is registering voters in the inner city,

108
00:05:46,240 --> 00:05:49,880
Speaker 1: and they're almost all likely Black or Latino, they had

109
00:05:50,040 --> 00:05:53,680
Speaker 1: a chance for every twenty five people they registered to

110
00:05:53,760 --> 00:05:55,640
Speaker 1: vote in one of the two major political parties, twenty

111
00:05:55,640 --> 00:05:58,160
Speaker 1: four of them would be guaranteed Democrats young Black men

112
00:05:58,560 --> 00:06:02,200
Speaker 1: twenty four to twenty five twelve years ago. It's not

113
00:06:02,240 --> 00:06:04,520
Speaker 1: that long ago, but a little by little it's been

114
00:06:04,520 --> 00:06:07,960
Speaker 1: taken away. For young Hispanic it's been young Hispanic men. Rather,

115
00:06:08,000 --> 00:06:11,320
Speaker 1: it's been even more extreme. Democrats went from winning seventy

116
00:06:11,440 --> 00:06:14,320
Speaker 1: one percent of young Latino men in twenty twelve to

117
00:06:14,480 --> 00:06:17,760
Speaker 1: sixty seven percent in twenty sixteen, to sixty three percent

118
00:06:17,760 --> 00:06:20,920
Speaker 1: in twenty twenty, to forty seven percent in twenty twenty four.

119
00:06:20,960 --> 00:06:23,679
Speaker 1: It's all according to catalyst, and I want to point

120
00:06:23,680 --> 00:06:25,680
Speaker 1: out that it is a trend because it is important

121
00:06:25,720 --> 00:06:30,560
Speaker 1: to notice. Very few major political changes happen overnight. Right

122
00:06:30,680 --> 00:06:35,119
Speaker 1: even the white working classes changed for Republicans. The last

123
00:06:35,120 --> 00:06:38,120
Speaker 1: time that there was a overnight transformation, I would say

124
00:06:38,200 --> 00:06:41,800
Speaker 1: would be like Cubans in the nineteen sixty who did

125
00:06:41,920 --> 00:06:45,360
Speaker 1: change overnight with the Cuban missile crisis and the Bay

126
00:06:45,400 --> 00:06:49,440
Speaker 1: of Pigs, like it was a overnight transformation. But that's

127
00:06:49,440 --> 00:06:51,360
Speaker 1: probably the last one. It's probably the last time there

128
00:06:51,400 --> 00:06:55,600
Speaker 1: was an overnight transformation of a specific demographic for a

129
00:06:55,640 --> 00:07:00,200
Speaker 1: specific reason, because Democrats among young black men lost four

130
00:07:00,200 --> 00:07:03,240
Speaker 1: percent between twenty twelve to twenty sixteen, five percent from

131
00:07:03,240 --> 00:07:05,760
Speaker 1: twenty sixteen to twenty twenty, and ten percent from twenty

132
00:07:05,760 --> 00:07:10,000
Speaker 1: twenty twenty twenty four. Among young Latino men four percent

133
00:07:10,000 --> 00:07:13,360
Speaker 1: from twenty twelve, four percent from twenty sixteen, and then

134
00:07:13,440 --> 00:07:16,280
Speaker 1: sixteen percent between twenty twenty and twenty twenty four. They

135
00:07:16,440 --> 00:07:20,160
Speaker 1: had that shift going on, they just refused to notice

136
00:07:20,160 --> 00:07:23,040
Speaker 1: it until it was too big, and not to notice

137
00:07:23,200 --> 00:07:25,720
Speaker 1: until instead of going from twenty four out of twenty

138
00:07:25,720 --> 00:07:28,680
Speaker 1: five young black men being Democrats to being three out

139
00:07:28,680 --> 00:07:32,080
Speaker 1: of four, which is substantially less, and they don't want

140
00:07:32,080 --> 00:07:36,120
Speaker 1: to risk bolstering so many more Republicans. Okay, back to

141
00:07:36,160 --> 00:07:39,680
Speaker 1: the article not so long ago. In twenty eighteen, democrats

142
00:07:39,720 --> 00:07:43,040
Speaker 1: accounted for sixty six percent of new voters under forty

143
00:07:43,080 --> 00:07:45,680
Speaker 1: five who registered with one of the two major parties.

144
00:07:46,040 --> 00:07:48,760
Speaker 1: Yet in twenty twenty four, that share has fallen to

145
00:07:49,040 --> 00:07:52,880
Speaker 1: forty eight percent. In other words, Republicans went from roughly

146
00:07:52,960 --> 00:07:56,760
Speaker 1: one third of newly registered voters under forty five to

147
00:07:56,880 --> 00:08:00,320
Speaker 1: a majority in over six years. The story is leaker

148
00:08:00,320 --> 00:08:03,080
Speaker 1: for Democrats in some key states. In Nevada, which releases

149
00:08:03,160 --> 00:08:06,360
Speaker 1: particular detailed data, Republicans added twice as many voters under

150
00:08:06,400 --> 00:08:09,640
Speaker 1: thirty five as Democrats did. The shift among men is

151
00:08:09,640 --> 00:08:13,200
Speaker 1: substantially different. From nearly forty nine percent of newly registered

152
00:08:13,280 --> 00:08:16,560
Speaker 1: voters and a major party chose the Democrats in twenty twenty,

153
00:08:16,920 --> 00:08:20,400
Speaker 1: that number went to thirty nine percent in twenty twenty four.

154
00:08:20,680 --> 00:08:24,800
Speaker 1: I want to focus on men because that's really where

155
00:08:24,800 --> 00:08:27,760
Speaker 1: you're seeing these crazy numbers. Zachary Donini, who I've had

156
00:08:27,760 --> 00:08:30,240
Speaker 1: on this podcast. He is a data scientist for Decision Desk.

157
00:08:30,920 --> 00:08:35,560
Speaker 1: He posted that young white men, young white men, those

158
00:08:35,679 --> 00:08:38,760
Speaker 1: being probably under thirty, definitely under thirty, maybe even under

159
00:08:38,760 --> 00:08:43,400
Speaker 1: twenty five, are really the catalyst. Now there's a big

160
00:08:43,440 --> 00:08:45,840
Speaker 1: shift among young Latinos. They're a majority of young Latino

161
00:08:45,880 --> 00:08:50,000
Speaker 1: men voting, registering Republican one in four young black men.

162
00:08:50,480 --> 00:08:52,160
Speaker 1: But I want to talk about young white men for

163
00:08:52,200 --> 00:08:54,640
Speaker 1: a second, because it is the biggest demographic among young

164
00:08:54,640 --> 00:08:57,600
Speaker 1: men in this country. Young white men, according to Ainy,

165
00:08:57,760 --> 00:09:02,320
Speaker 1: are registering or a Republican at an on precedented level.

166
00:09:03,040 --> 00:09:06,240
Speaker 1: White men born in the eighties and early nineties, my

167
00:09:06,400 --> 00:09:09,400
Speaker 1: generation right, who came of age when George W. Bush

168
00:09:09,440 --> 00:09:11,000
Speaker 1: was president, and I know some people like him. I

169
00:09:11,040 --> 00:09:13,720
Speaker 1: thought it was a horrible president. But they almost broke

170
00:09:13,760 --> 00:09:16,680
Speaker 1: fifty to fifty Democrat Republican white men, which is like

171
00:09:16,720 --> 00:09:19,760
Speaker 1: the Republican's key demographic. It was really bad when they

172
00:09:19,760 --> 00:09:21,840
Speaker 1: started registering voting because the other the Iraq War, and

173
00:09:22,000 --> 00:09:25,320
Speaker 1: Bush was just horrible. Now, young white men who register

174
00:09:25,440 --> 00:09:29,120
Speaker 1: for one of the two major parties register seventy one

175
00:09:29,400 --> 00:09:33,240
Speaker 1: to twenty nine Republican. It is the highest amount of

176
00:09:33,320 --> 00:09:38,640
Speaker 1: any generation recorded since the nineteen thirties. Seventy one to

177
00:09:38,920 --> 00:09:42,760
Speaker 1: twenty nine. That is fifty That was almost fifty points,

178
00:09:42,840 --> 00:09:46,480
Speaker 1: or it's forty five points, whatever, it's forty two. Sorry,

179
00:09:46,640 --> 00:09:50,080
Speaker 1: my internal math numbers coup in catching up forty two points.

180
00:09:50,240 --> 00:09:53,880
Speaker 1: So although it's a six point Republican majority among young Latinos,

181
00:09:54,200 --> 00:09:58,000
Speaker 1: and it's they're losing young young blacks by fifty points

182
00:09:58,040 --> 00:10:01,560
Speaker 1: instead of you know, ninety two points. That forty two

183
00:10:01,600 --> 00:10:05,640
Speaker 1: point bump for young white men is the game. It's

184
00:10:05,679 --> 00:10:08,480
Speaker 1: it's that that is the number game. That is their path.

185
00:10:09,080 --> 00:10:11,280
Speaker 1: As they continue to vote, as they vote more frequently,

186
00:10:11,320 --> 00:10:13,720
Speaker 1: as they start paying taxes and becoming older and being

187
00:10:13,720 --> 00:10:18,559
Speaker 1: more involved, that is the game for Republicans to grow substantially.

188
00:10:19,280 --> 00:10:24,760
Speaker 1: Growing up hearing that you're a cancer for being a

189
00:10:24,800 --> 00:10:27,679
Speaker 1: young white man, being you're part of the patriarchy, you

190
00:10:27,800 --> 00:10:32,600
Speaker 1: are responsible for the victimhood of all generations throughout history,

191
00:10:33,480 --> 00:10:37,840
Speaker 1: absolutely propelled this group of people. And even young white women,

192
00:10:37,880 --> 00:10:41,240
Speaker 1: by the way, register a majority Republican fifty three to

193
00:10:41,280 --> 00:10:44,320
Speaker 1: forty seven. Obviously not nearly as much as men. But

194
00:10:44,440 --> 00:10:48,120
Speaker 1: it's not what you would think watching the internet where

195
00:10:48,120 --> 00:10:50,440
Speaker 1: you see that all these like blue haired, short shaped,

196
00:10:50,760 --> 00:10:54,440
Speaker 1: you know, white women who are all screaming about abortion progressive.

197
00:10:54,440 --> 00:10:59,080
Speaker 1: No majority white women, young white women are registering Republican. Now,

198
00:10:59,640 --> 00:11:02,520
Speaker 1: I want to remind you all that the trend of

199
00:11:02,600 --> 00:11:05,679
Speaker 1: young people and minorities moving to the right is not

200
00:11:05,800 --> 00:11:10,120
Speaker 1: isolated to America. We're seeing trends among minorities in basically

201
00:11:10,280 --> 00:11:14,120
Speaker 1: every part of the Anglo world, in Australia, in Canada

202
00:11:14,200 --> 00:11:18,280
Speaker 1: and the UK, more and more, especially Indian and Arab

203
00:11:20,000 --> 00:11:23,280
Speaker 1: immigrant children who are registering to vote in those countries

204
00:11:23,400 --> 00:11:26,920
Speaker 1: are increasingly voting for the Republican like party of the

205
00:11:27,000 --> 00:11:30,840
Speaker 1: Tories or the Canadian Conservative Party or whatnot. Zachary Dnini

206
00:11:30,880 --> 00:11:34,160
Speaker 1: once again, he actually looked at the name Mohammad, which

207
00:11:34,200 --> 00:11:36,360
Speaker 1: is Zachary is so smart. He looked at the name

208
00:11:36,400 --> 00:11:39,200
Speaker 1: Mohammad because it's obviously a very specific ethnicity, it's a

209
00:11:39,360 --> 00:11:44,400
Speaker 1: very specific religion. Men who were born in nineteen sixty

210
00:11:44,520 --> 00:11:48,800
Speaker 1: with the name Mohammad registered eighty eight to twelve Democrat.

211
00:11:50,200 --> 00:11:52,679
Speaker 1: Men born in two thousand and five with the name

212
00:11:52,760 --> 00:11:58,000
Speaker 1: Mohammad registered fifty nine forty one Democrat. Look at that

213
00:11:58,240 --> 00:12:01,560
Speaker 1: drop with this demo graphic, and this is a demographic

214
00:12:01,600 --> 00:12:06,439
Speaker 1: who probably is pro Gaza, probably is or on the

215
00:12:06,480 --> 00:12:08,720
Speaker 1: side of the palace stating and people. Rather, this is

216
00:12:08,720 --> 00:12:12,280
Speaker 1: a demographic who has a lot in common on its

217
00:12:12,280 --> 00:12:14,679
Speaker 1: space of the Democratic Party, and yet they are abandoning

218
00:12:14,720 --> 00:12:17,800
Speaker 1: them because the people who run the Democra Party aren't

219
00:12:18,600 --> 00:12:22,760
Speaker 1: screaming college educated women or black activists saying you should

220
00:12:22,800 --> 00:12:25,280
Speaker 1: feel bad. I need reparations, I am the victim, or

221
00:12:25,640 --> 00:12:28,199
Speaker 1: don't you shouldn't arrest somebody for burning down a building,

222
00:12:28,280 --> 00:12:30,360
Speaker 1: burning down a school, not a school, but you know,

223
00:12:30,400 --> 00:12:32,920
Speaker 1: a store or whatever. Now let's look at some key states,

224
00:12:33,000 --> 00:12:38,199
Speaker 1: because remember, only thirty states have registered people by party registration. Okay,

225
00:12:38,200 --> 00:12:42,040
Speaker 1: so places like Texas, Michigan, Virginia, Wisconsin, they don't register

226
00:12:42,080 --> 00:12:44,080
Speaker 1: people by party. I wish they did it make my

227
00:12:44,080 --> 00:12:46,080
Speaker 1: life a lot easier, but they don't. So I'm going

228
00:12:46,120 --> 00:12:48,160
Speaker 1: to go over a few states because I think that

229
00:12:48,160 --> 00:12:51,240
Speaker 1: that's important, just to highlight a few. One last thing

230
00:12:51,360 --> 00:12:55,079
Speaker 1: voter registration except for new voters. Right, if you're eighteen

231
00:12:55,080 --> 00:12:57,160
Speaker 1: in registering for the first time, you obviously didn't change party.

232
00:12:57,160 --> 00:13:00,199
Speaker 1: But if you are changing parties and you're thirty, you're

233
00:13:00,240 --> 00:13:02,480
Speaker 1: forty or fifty or sixty or whatever, it is the

234
00:13:02,600 --> 00:13:07,439
Speaker 1: last thing to do before you've been a full transformation

235
00:13:07,600 --> 00:13:10,040
Speaker 1: from one party to the other. In other words, no

236
00:13:10,040 --> 00:13:12,560
Speaker 1: one who at fifty five years old, who has voted

237
00:13:12,600 --> 00:13:16,040
Speaker 1: most of their life, who's re registering party registration as

238
00:13:16,080 --> 00:13:18,640
Speaker 1: a Republican is because they're voting Republican for the first

239
00:13:18,640 --> 00:13:21,760
Speaker 1: time ever. And not in most cases. Rather, so you're

240
00:13:22,000 --> 00:13:25,520
Speaker 1: likely have voted Republican. If you're a demok registered Democrat

241
00:13:25,679 --> 00:13:27,559
Speaker 1: and you're making the switch or vice versa, you have

242
00:13:27,640 --> 00:13:31,319
Speaker 1: voted Republican for ten years, but you're friendly changing parties.

243
00:13:31,600 --> 00:13:34,360
Speaker 1: So it's the last thing that ever ends up happening. Okay,

244
00:13:34,640 --> 00:13:37,640
Speaker 1: So let's look at West Virginia because it is the

245
00:13:37,640 --> 00:13:39,640
Speaker 1: most extreme cases. It's not a swing state that on

246
00:13:39,760 --> 00:13:44,760
Speaker 1: many congressional seats, but it is the It's almost all white,

247
00:13:44,880 --> 00:13:48,280
Speaker 1: it is working class, very little college education, and it

248
00:13:48,360 --> 00:13:52,160
Speaker 1: is a zeitgeist into the or it is a it

249
00:13:52,280 --> 00:13:55,840
Speaker 1: is a it is a perfect analogy into the broader

250
00:13:57,160 --> 00:14:00,400
Speaker 1: crisis democrats are having with white working class people. Remember

251
00:14:00,400 --> 00:14:03,640
Speaker 1: West Virginia, for as Republican as it is now, was

252
00:14:03,679 --> 00:14:05,960
Speaker 1: one of the few states that Jimmy Carter won over

253
00:14:06,040 --> 00:14:08,079
Speaker 1: Ronald Reagan in nineteen eighty. It is a state that

254
00:14:08,160 --> 00:14:10,640
Speaker 1: voted for Bill Clinton twice. It is a state that

255
00:14:12,240 --> 00:14:14,400
Speaker 1: probably if Hillary Clinton was the nomine in two thousand

256
00:14:14,400 --> 00:14:16,679
Speaker 1: and eight, she'd be competitive, and Al Gore almost won

257
00:14:16,760 --> 00:14:20,400
Speaker 1: it in two thousand, so that's not that long ago.

258
00:14:20,560 --> 00:14:24,120
Speaker 1: It was a solid, solid democratic state, more democratic than

259
00:14:24,200 --> 00:14:28,520
Speaker 1: like New Jersey, was from twenty sixteen until August twenty

260
00:14:28,600 --> 00:14:33,560
Speaker 1: twenty five, Democrats lost forty one point five percent of

261
00:14:33,720 --> 00:14:38,880
Speaker 1: all their registered voters in that state forty forty one

262
00:14:38,880 --> 00:14:43,160
Speaker 1: point five percent. Republicans grew their registration by twenty six percent.

263
00:14:43,520 --> 00:14:46,160
Speaker 1: And I'm using twenty sixteen right, which is different than

264
00:14:46,200 --> 00:14:49,080
Speaker 1: the New York Times article, because here's what happened. Between

265
00:14:49,080 --> 00:14:52,120
Speaker 1: twenty sixteen and twenty twenty. Most state Democratic parties saw

266
00:14:52,160 --> 00:14:54,920
Speaker 1: a big bump because it was you know, Trump's in power,

267
00:14:54,960 --> 00:14:58,200
Speaker 1: it's fascism, it's you know, everyone puts your pink pussy

268
00:14:58,200 --> 00:15:00,160
Speaker 1: hats on and sit there and start screaming into the

269
00:15:00,160 --> 00:15:03,200
Speaker 1: wild like that was happening for those four years, and

270
00:15:03,240 --> 00:15:08,120
Speaker 1: that bolster Democrat registration, and then twenty twenty happens. Obviously, yes,

271
00:15:08,200 --> 00:15:13,240
Speaker 1: Biden's in charge, but the great wokeism happens, and you know,

272
00:15:13,360 --> 00:15:16,240
Speaker 1: everyone's being me tooed and everyone's being canceled, and everyone's

273
00:15:16,240 --> 00:15:17,880
Speaker 1: are racist, and you know, we have to have the

274
00:15:17,880 --> 00:15:20,400
Speaker 1: trans bathing suits for six year olds of target. All

275
00:15:20,480 --> 00:15:22,480
Speaker 1: that stuff happens post twenty twenty. But I'm looking at

276
00:15:22,480 --> 00:15:27,320
Speaker 1: the long view from twenty sixteen. Okay, in Nevada, since

277
00:15:27,320 --> 00:15:30,240
Speaker 1: twenty sixteen, No Democrats have actually grown their voter registration

278
00:15:30,360 --> 00:15:32,680
Speaker 1: in Nevada. Nevada is a very fast growing state, so

279
00:15:32,760 --> 00:15:36,840
Speaker 1: this makes sense. Democrats gained thirty three thousand, five hundred

280
00:15:36,960 --> 00:15:41,760
Speaker 1: registered voters. Republicans gained almost one hundred and nineteen thousand

281
00:15:41,800 --> 00:15:47,280
Speaker 1: registered Republicans. In New Hampshire, a semi swing state which

282
00:15:47,320 --> 00:15:51,440
Speaker 1: has Republican local government Democrat federal government, Democrats have lost

283
00:15:51,440 --> 00:15:54,040
Speaker 1: five percent of all their registered voters, Republicans have gained.

284
00:15:54,080 --> 00:15:56,800
Speaker 1: Republicans actually have a plurality of all or sorry, they

285
00:15:56,840 --> 00:15:59,520
Speaker 1: have more registered Republicans in the state of New Hampshire

286
00:15:59,520 --> 00:16:03,480
Speaker 1: than Demorcrats. In Pennsylvania, the most important swing state in

287
00:16:03,520 --> 00:16:08,840
Speaker 1: the country, Democrats have lost sixteen percent of all their

288
00:16:08,880 --> 00:16:13,920
Speaker 1: registered voters since twenty sixteen. Republicans have gained six percent.

289
00:16:14,360 --> 00:16:16,640
Speaker 1: I have increased their popular their numbers by six percent.

290
00:16:17,080 --> 00:16:21,960
Speaker 1: You have to two things. Democrats had nine hundred thousand

291
00:16:22,280 --> 00:16:26,280
Speaker 1: more registered voters than Republicans in twenty sixteen. That's down

292
00:16:26,320 --> 00:16:30,400
Speaker 1: to fifty nine thousand this time. And Scott Presser has

293
00:16:30,440 --> 00:16:31,840
Speaker 1: done a lot of work and people have done a

294
00:16:31,880 --> 00:16:34,120
Speaker 1: lot of work in Pennsylvania. But there's one thing that

295
00:16:34,160 --> 00:16:36,040
Speaker 1: no one ever talks about, and I want to talk

296
00:16:36,040 --> 00:16:40,240
Speaker 1: about it for one second, about Pennsylvania specifically. In twenty sixteen,

297
00:16:40,880 --> 00:16:42,520
Speaker 1: there was an article I think it was my, it

298
00:16:42,560 --> 00:16:44,200
Speaker 1: was my Nate Cohen, it was by It was in

299
00:16:44,200 --> 00:16:46,480
Speaker 1: five point thirty eight. It's called like the missing white voter.

300
00:16:46,600 --> 00:16:49,760
Speaker 1: If Trump can find them, there are there were. As

301
00:16:49,760 --> 00:16:53,920
Speaker 1: a twenty sixteen there were forty four million non college

302
00:16:54,120 --> 00:16:59,320
Speaker 1: educated white Americans who were not registered to vote, and

303
00:16:59,520 --> 00:17:03,000
Speaker 1: million of them lived in one state in particular, and

304
00:17:03,040 --> 00:17:06,680
Speaker 1: that was Pennsylvania. So what happened in twenty twenty three

305
00:17:06,960 --> 00:17:09,800
Speaker 1: that didn't really make a lot of national news, Well,

306
00:17:09,880 --> 00:17:14,160
Speaker 1: Governor Josh Shapiro announced automatic voter registration for people when

307
00:17:14,200 --> 00:17:18,040
Speaker 1: they get driver's licenses, So everyone who renews, all of

308
00:17:18,080 --> 00:17:19,800
Speaker 1: a sudden has to register, vote, and register in a

309
00:17:19,840 --> 00:17:23,600
Speaker 1: major political party. And though the decline for the Democratic

310
00:17:23,720 --> 00:17:28,600
Speaker 1: Party was happening before that happened, it expedited the process.

311
00:17:29,160 --> 00:17:33,879
Speaker 1: Republicans started gaining thousands more than Democrats after that happened

312
00:17:33,920 --> 00:17:37,920
Speaker 1: because all the non college educated white Americans who never

313
00:17:38,040 --> 00:17:39,960
Speaker 1: bothered to vote, but all of a sudden it had

314
00:17:40,000 --> 00:17:43,959
Speaker 1: to register to vote, who were registering Republican in huge numbers,

315
00:17:44,000 --> 00:17:46,440
Speaker 1: and that was a major game changer in Pennsylvania that

316
00:17:46,480 --> 00:17:48,920
Speaker 1: I think Joshapiro did not think long terms. I don't

317
00:17:48,920 --> 00:17:50,240
Speaker 1: know if you would have done the same thing over

318
00:17:50,240 --> 00:17:52,639
Speaker 1: again if he would have known how horrible it was

319
00:17:52,680 --> 00:17:56,800
Speaker 1: for his party, last, but not least, the state of Florida.

320
00:17:56,840 --> 00:17:59,600
Speaker 1: Because this is I mean, this is this is the

321
00:17:59,640 --> 00:18:02,440
Speaker 1: whole kit and kaboodle. Democrats in twenty sixteen and three

322
00:18:02,560 --> 00:18:06,000
Speaker 1: hundred and fifty thousand more registered members of their party

323
00:18:06,000 --> 00:18:10,920
Speaker 1: than Republicans. And since twenty sixteen, Democrats lost seven hundred

324
00:18:11,240 --> 00:18:15,480
Speaker 1: thousand registered members their party and Republicans gained one million,

325
00:18:16,400 --> 00:18:20,479
Speaker 1: one million. It is a collapse of a party that

326
00:18:20,560 --> 00:18:23,439
Speaker 1: has no chance in the third largest day in this

327
00:18:23,520 --> 00:18:27,760
Speaker 1: country for a very, very, very long time. I don't

328
00:18:27,760 --> 00:18:30,120
Speaker 1: even know how you rebuild a party in that kind

329
00:18:30,160 --> 00:18:34,640
Speaker 1: of situation. And once again, the differs from what I'm

330
00:18:34,640 --> 00:18:36,639
Speaker 1: saying in the New York Times. I'm looking at the

331
00:18:36,720 --> 00:18:40,399
Speaker 1: long view, looking since twenty sixteen, because I think that

332
00:18:40,480 --> 00:18:43,960
Speaker 1: it's important to see that even when you count the

333
00:18:44,080 --> 00:18:47,919
Speaker 1: resist Trump voter surge that happened when you know he

334
00:18:48,040 --> 00:18:50,320
Speaker 1: first took office and Madonna sanctioned to blow up the

335
00:18:50,320 --> 00:18:52,200
Speaker 1: White House and all the rest of it, and Kathy

336
00:18:52,200 --> 00:18:54,840
Speaker 1: Griffin is holding up a you know, is a fake

337
00:18:54,920 --> 00:18:58,800
Speaker 1: head and is bleeding, even when you include that Democrats

338
00:18:58,840 --> 00:19:01,439
Speaker 1: are in a worse place years later, even when you

339
00:19:01,480 --> 00:19:04,680
Speaker 1: consider all of that. Okay, that's enough for the data.

340
00:19:04,800 --> 00:19:07,679
Speaker 1: I have a great interesting guest coming up next. I

341
00:19:07,680 --> 00:19:09,359
Speaker 1: saw him online and I was like, I got to

342
00:19:09,400 --> 00:19:11,280
Speaker 1: talk to this kid. I think you guys would find

343
00:19:11,320 --> 00:19:17,439
Speaker 1: him fascinating. That's coming up right after this. So I

344
00:19:17,480 --> 00:19:20,920
Speaker 1: was scrolling on Twitter a couple of days ago, maybe

345
00:19:20,920 --> 00:19:23,720
Speaker 1: a wee could go now, and I came across this

346
00:19:24,119 --> 00:19:26,720
Speaker 1: episode of Jubilee. It's this kind of crazy website where

347
00:19:26,720 --> 00:19:29,480
Speaker 1: twenty people scream at one person, and there was an

348
00:19:30,400 --> 00:19:33,560
Speaker 1: activist by name Amanda Seals. I think I'm pouncing her

349
00:19:33,600 --> 00:19:36,719
Speaker 1: last thing correctly, and she was debating twenty black conservatives

350
00:19:36,720 --> 00:19:39,200
Speaker 1: and this young man, Matt Nuclear who's with us today,

351
00:19:39,400 --> 00:19:42,200
Speaker 1: was on and he was really smart and came across

352
00:19:42,280 --> 00:19:44,639
Speaker 1: really thought provoking, and I want to have him on

353
00:19:44,640 --> 00:19:48,160
Speaker 1: the pod and talk about the debate experience and how

354
00:19:48,200 --> 00:19:52,120
Speaker 1: he became such a well spoken conservative. And you're eighteen

355
00:19:52,160 --> 00:19:52,800
Speaker 1: years old, right.

356
00:19:52,680 --> 00:19:56,160
Speaker 2: Matt, I Indiana, i'ma maintained, I'm turning nineteen in two months,

357
00:19:56,359 --> 00:20:00,800
Speaker 2: So how did you get invited to Jubilee. I've been

358
00:20:00,840 --> 00:20:03,520
Speaker 2: doing like TikTok live debates for a bit, and I

359
00:20:03,600 --> 00:20:06,520
Speaker 2: believe that they invited me from that specifically. It's not

360
00:20:06,560 --> 00:20:08,440
Speaker 2: like I asked them to come on. And I was

361
00:20:08,440 --> 00:20:11,880
Speaker 2: supposed to originally do a different episode that was canceled.

362
00:20:11,960 --> 00:20:14,440
Speaker 2: But because they, you know, like my performance on the

363
00:20:14,480 --> 00:20:17,479
Speaker 2: episode that got canceled, they invited me back to debate

364
00:20:17,560 --> 00:20:20,160
Speaker 2: a radical, you know, black person, and I was like, sure,

365
00:20:20,160 --> 00:20:20,600
Speaker 2: I'll do it.

366
00:20:21,240 --> 00:20:23,840
Speaker 1: So how long are you there for? By the way,

367
00:20:23,880 --> 00:20:27,919
Speaker 1: is it hours and hours? I believe I believe that

368
00:20:28,000 --> 00:20:29,639
Speaker 1: was three hours or two hours?

369
00:20:29,680 --> 00:20:31,360
Speaker 2: It was that long. Okay.

370
00:20:31,680 --> 00:20:34,680
Speaker 1: So now Amanda I never heard of Amanda Steals before.

371
00:20:35,040 --> 00:20:36,320
Speaker 1: Her position was.

372
00:20:36,400 --> 00:20:41,280
Speaker 2: What her position essentially was that reparations were just and necessary.

373
00:20:41,400 --> 00:20:43,040
Speaker 2: I mean she's also now came out and to that

374
00:20:43,080 --> 00:20:45,119
Speaker 2: black on black crime does not exist and it's not

375
00:20:45,240 --> 00:20:49,399
Speaker 2: something of any relevancy whatsoever. And essentially that you know,

376
00:20:49,560 --> 00:20:51,840
Speaker 2: black people are being oppressed by white people and this

377
00:20:51,880 --> 00:20:54,679
Speaker 2: is why these sort of disparities exist.

378
00:20:55,160 --> 00:20:59,840
Speaker 1: Now, you were you were really really smart, and how

379
00:20:59,880 --> 00:21:03,480
Speaker 1: you came across what was your biggest oppositions to what

380
00:21:03,520 --> 00:21:03,800
Speaker 1: she said?

381
00:21:03,800 --> 00:21:07,720
Speaker 2: Are you naturally very conservative? Yeah, I am typically very

382
00:21:07,720 --> 00:21:11,640
Speaker 2: conservative on basically almost everything, Okay, but I just naturally

383
00:21:11,640 --> 00:21:15,280
Speaker 2: opposed to these handout to that this really isn't going

384
00:21:15,320 --> 00:21:17,000
Speaker 2: to fix any problem. Like I told her, if you

385
00:21:17,040 --> 00:21:20,840
Speaker 2: hand every black person fifty thousand dollars check in America,

386
00:21:21,400 --> 00:21:23,480
Speaker 2: it isn't really going to increase the median huscle income

387
00:21:23,520 --> 00:21:26,680
Speaker 2: by any significant amount in the next decade or two.

388
00:21:27,320 --> 00:21:29,879
Speaker 2: It's not really going to change anything significantly. What we

389
00:21:29,880 --> 00:21:32,679
Speaker 2: need to do is bring back the black nuclear family

390
00:21:33,000 --> 00:21:36,200
Speaker 2: and you know, you know, stop the issues and reference

391
00:21:36,240 --> 00:21:38,520
Speaker 2: to violence and reference to gain crime, and then we

392
00:21:38,520 --> 00:21:40,880
Speaker 2: can see some improvements. But this idea that handing people

393
00:21:40,920 --> 00:21:44,440
Speaker 2: a check is going to change something radically is just humorous.

394
00:21:44,880 --> 00:21:47,320
Speaker 1: Now, how was she packs each other? I think you

395
00:21:47,400 --> 00:21:49,840
Speaker 1: dm me said that she wanted to cut you off,

396
00:21:49,920 --> 00:21:52,680
Speaker 1: or she didn't want parts of what you said aired right.

397
00:21:53,240 --> 00:21:55,040
Speaker 2: No, No, it's it's she just didn't want to debate me.

398
00:21:55,040 --> 00:21:57,960
Speaker 2: Like there was a point where, like I said, redlining

399
00:21:58,000 --> 00:22:00,320
Speaker 2: didn't exist to the extent that you know, they tried

400
00:22:00,359 --> 00:22:02,199
Speaker 2: to act as if it existed, and you didn't want

401
00:22:02,240 --> 00:22:04,119
Speaker 2: to debate me right there, Like she literally asked the

402
00:22:04,200 --> 00:22:08,840
Speaker 2: producers just not to debate me, and so they, well,

403
00:22:08,880 --> 00:22:10,800
Speaker 2: they just wanted her to just finish that debate. They

404
00:22:10,880 --> 00:22:14,600
Speaker 2: try to encourage her to just finish that debate. And yeah,

405
00:22:14,640 --> 00:22:17,679
Speaker 2: I mean she kept threatening to quit debating a lot

406
00:22:17,760 --> 00:22:20,600
Speaker 2: of people, like multiple different times during the break. I mean,

407
00:22:20,600 --> 00:22:23,720
Speaker 2: it was it was insane. But that's that's wild, you

408
00:22:23,760 --> 00:22:23,960
Speaker 2: know what.

409
00:22:24,000 --> 00:22:27,000
Speaker 1: I don't and this would never happen with a white

410
00:22:27,080 --> 00:22:29,280
Speaker 1: conservative versus white liberal, but she did it to you.

411
00:22:29,920 --> 00:22:31,640
Speaker 1: She said at one point, talk to me like I'm

412
00:22:31,680 --> 00:22:34,679
Speaker 1: your mama or something. We would never say that to

413
00:22:34,720 --> 00:22:36,840
Speaker 1: each other. What was your reaction when.

414
00:22:36,720 --> 00:22:40,320
Speaker 2: She said that? Well, I just thought, like, what is

415
00:22:40,520 --> 00:22:42,240
Speaker 2: what is going on with this woman? Like is is

416
00:22:42,320 --> 00:22:44,040
Speaker 2: she okay in the head? Like, I don't know how

417
00:22:44,080 --> 00:22:45,960
Speaker 2: that's a normal thing you can say to someone, like

418
00:22:46,040 --> 00:22:49,280
Speaker 2: we're having a conversation and someone makes an argument and

419
00:22:49,320 --> 00:22:50,880
Speaker 2: you are like, you know, speak to me as if

420
00:22:50,880 --> 00:22:53,520
Speaker 2: I was your mama, Like, well, who says things like that.

421
00:22:53,640 --> 00:22:56,720
Speaker 2: It's not a normal thing to say. And I remember

422
00:22:56,760 --> 00:22:58,320
Speaker 2: watching the Megan Kelly Show. There was a guy on

423
00:22:58,359 --> 00:23:00,199
Speaker 2: there who was like, when if I told someone, you know,

424
00:23:00,200 --> 00:23:01,800
Speaker 2: speak to me as if I was their father during

425
00:23:01,840 --> 00:23:04,080
Speaker 2: the middle of a conversation doesn't really make any sense.

426
00:23:04,080 --> 00:23:06,720
Speaker 2: It's a weird thing. And yeah, that's a weird way

427
00:23:06,760 --> 00:23:08,959
Speaker 2: to respond to someone's argument, is they should treat you

428
00:23:09,080 --> 00:23:11,199
Speaker 2: or speak to you as if they were you know

429
00:23:12,080 --> 00:23:15,200
Speaker 2: the mother WHOA sorry, it's just so weird.

430
00:23:15,600 --> 00:23:18,000
Speaker 1: What was was her?

431
00:23:18,400 --> 00:23:19,600
Speaker 2: A lot of her arguments?

432
00:23:19,680 --> 00:23:22,520
Speaker 1: I mean, there were grains from what I heard of it.

433
00:23:22,560 --> 00:23:23,760
Speaker 2: I didn't watch the entire episode.

434
00:23:23,760 --> 00:23:25,560
Speaker 1: I literally just watched your segment because I thought you

435
00:23:25,560 --> 00:23:28,440
Speaker 1: were really really well spoken, especially for such a young

436
00:23:28,560 --> 00:23:30,720
Speaker 1: man and who doesn't do this for a living. There

437
00:23:30,760 --> 00:23:34,119
Speaker 1: were like grains of truth and then a lot of

438
00:23:34,160 --> 00:23:36,880
Speaker 1: emotional attachment to that. Is that what you found when

439
00:23:36,880 --> 00:23:37,679
Speaker 1: she was talking to you?

440
00:23:39,240 --> 00:23:41,639
Speaker 2: I think so. But I didn't really find that a

441
00:23:41,640 --> 00:23:43,639
Speaker 2: lot of grains of truth really either. I mean, she

442
00:23:43,720 --> 00:23:45,439
Speaker 2: try to act as if black people are still not

443
00:23:45,480 --> 00:23:48,320
Speaker 2: considered what like a full person in America, which obviously

444
00:23:48,359 --> 00:23:52,679
Speaker 2: isn't true. So yeah, I mean, it was not a

445
00:23:52,680 --> 00:23:54,639
Speaker 2: lot of truth. And when, to be honest, I have

446
00:23:54,760 --> 00:23:57,639
Speaker 2: a hypothesis.

447
00:23:57,880 --> 00:24:01,480
Speaker 1: So I'm from Queens, New York, where most Black Americans

448
00:24:01,480 --> 00:24:05,600
Speaker 1: living in my county are immigrants right there from Jamaica, Caribbean,

449
00:24:05,920 --> 00:24:09,560
Speaker 1: they have the highest household income of any group of people, right,

450
00:24:10,160 --> 00:24:13,040
Speaker 1: I mean far so exceeding even white This is according

451
00:24:13,080 --> 00:24:15,359
Speaker 1: to the New York Times. You're an immigrant from I

452
00:24:15,359 --> 00:24:16,520
Speaker 1: think Angola, Right.

453
00:24:16,680 --> 00:24:18,760
Speaker 2: Yeah, I came from America in six.

454
00:24:18,880 --> 00:24:23,359
Speaker 1: So do you think because you were not broad? Maybe

455
00:24:23,359 --> 00:24:25,240
Speaker 1: you were, but were you.

456
00:24:25,119 --> 00:24:25,600
Speaker 2: Kind of.

457
00:24:27,040 --> 00:24:31,160
Speaker 1: Kind of thrown at what you expect of the black

458
00:24:31,240 --> 00:24:34,399
Speaker 1: experience in America in the same way that maybe somebody

459
00:24:34,440 --> 00:24:36,840
Speaker 1: who's general, who's been here for generations would have been.

460
00:24:37,240 --> 00:24:40,439
Speaker 1: Or maybe because because immigrants from Africa, not all of Africa,

461
00:24:40,520 --> 00:24:44,720
Speaker 1: like Sudan and Somalians are not really exceeding, but but

462
00:24:44,880 --> 00:24:48,120
Speaker 1: immigrants from Jamaica, Angla, black immigrant from Jamaica and gol

463
00:24:48,160 --> 00:24:51,800
Speaker 1: a place like that, Nigeria, they do Kenya, they exceed

464
00:24:51,920 --> 00:24:55,399
Speaker 1: Black Americans who have been here since slavery. Do you

465
00:24:55,480 --> 00:25:01,399
Speaker 1: think because having a more immigrant experience had brought you

466
00:25:01,480 --> 00:25:05,439
Speaker 1: different kinds of potential and different kinds of understanding what

467
00:25:05,440 --> 00:25:08,360
Speaker 1: it's like to be an American maybe change why you're

468
00:25:08,480 --> 00:25:09,320
Speaker 1: more conservative?

469
00:25:09,400 --> 00:25:11,119
Speaker 2: Is that part? I think? I think it may have

470
00:25:11,160 --> 00:25:12,640
Speaker 2: influenced me a little bit, But I just have to

471
00:25:12,640 --> 00:25:14,600
Speaker 2: preface it by saying I was raised here. I mean,

472
00:25:14,600 --> 00:25:16,160
Speaker 2: I've been living here since I was six years old.

473
00:25:16,600 --> 00:25:18,160
Speaker 2: Not a lot of people, not a lot of people

474
00:25:18,160 --> 00:25:20,679
Speaker 2: can tell you, you know, what they were doing prior to

475
00:25:20,720 --> 00:25:22,200
Speaker 2: the age of six, or even remember a lot of

476
00:25:22,200 --> 00:25:24,679
Speaker 2: those things, right, So the only difference was is that

477
00:25:24,680 --> 00:25:28,000
Speaker 2: I was raised in Maine, which is like a significant

478
00:25:28,000 --> 00:25:30,880
Speaker 2: majority white state, although I did live around a black

479
00:25:30,960 --> 00:25:34,720
Speaker 2: immigrant community as well, and you know, I was taught

480
00:25:34,800 --> 00:25:36,600
Speaker 2: you know, by my parents, I should respect this country,

481
00:25:36,640 --> 00:25:39,080
Speaker 2: I should be grateful for being in this country. And

482
00:25:39,119 --> 00:25:41,320
Speaker 2: so I've always had this kind of like appreciative look

483
00:25:41,400 --> 00:25:45,360
Speaker 2: on America and its founding in general, where a lot

484
00:25:45,400 --> 00:25:47,359
Speaker 2: of you know, people like a man Oficios obviously are

485
00:25:47,400 --> 00:25:50,320
Speaker 2: not very appreciative at all, And that might be some

486
00:25:50,359 --> 00:25:52,200
Speaker 2: of the distinctions and some of the differences. But apart

487
00:25:52,200 --> 00:25:54,040
Speaker 2: from that, yeah, I think my experience.

488
00:25:54,000 --> 00:25:55,960
Speaker 1: When I when I said the Emmergan experience, I more

489
00:25:56,000 --> 00:25:58,760
Speaker 1: meant in your parents than you, Yeah, because your parents

490
00:25:58,800 --> 00:26:01,040
Speaker 1: would have probably been more like, you need to hustle

491
00:26:01,080 --> 00:26:03,600
Speaker 1: and make it and do everything that you possibly can.

492
00:26:04,040 --> 00:26:06,280
Speaker 1: Have a different appreciation than somebody.

493
00:26:06,160 --> 00:26:07,119
Speaker 2: Who's kind of been.

494
00:26:08,640 --> 00:26:11,760
Speaker 1: Rightly or wrongly kind of bay them multi generational of

495
00:26:11,960 --> 00:26:14,880
Speaker 1: like feelings of you know, you're a victim. You're a victim,

496
00:26:14,920 --> 00:26:17,640
Speaker 1: and also every institution will rewards you for believing you're

497
00:26:17,640 --> 00:26:18,160
Speaker 1: a victim.

498
00:26:18,880 --> 00:26:22,440
Speaker 2: Yeah. No, my parents, especially my mother has always told

499
00:26:22,480 --> 00:26:24,679
Speaker 2: me to be appreciative of this country and to always

500
00:26:24,720 --> 00:26:26,600
Speaker 2: look back at you know, where people in Engla, the

501
00:26:26,640 --> 00:26:29,600
Speaker 2: DRC or an id year it currently are. And so

502
00:26:29,760 --> 00:26:31,520
Speaker 2: that's that's one of the reasons why I have been

503
00:26:31,520 --> 00:26:33,800
Speaker 2: a conservative or someone who is proud of this country

504
00:26:34,359 --> 00:26:36,280
Speaker 2: is because of the opportunity this country has given me

505
00:26:36,480 --> 00:26:38,600
Speaker 2: and the opportunity this country has given Black Americans. They

506
00:26:38,600 --> 00:26:40,080
Speaker 2: should be very much proud too. I don't get the

507
00:26:40,160 --> 00:26:42,399
Speaker 2: entitlement because while they may be making I don't know

508
00:26:42,440 --> 00:26:44,920
Speaker 2: on average, I don't know, is it thirty six thousany

509
00:26:44,920 --> 00:26:47,320
Speaker 2: five thousand dollars a year? There are people are living

510
00:26:47,400 --> 00:26:49,520
Speaker 2: off of a dollar a year right now, right our

511
00:26:49,520 --> 00:26:51,639
Speaker 2: people in Africa. So it's like very much. You got

512
00:26:51,680 --> 00:26:54,399
Speaker 2: to be very much appreciative, right, I mean, you would

513
00:26:54,520 --> 00:26:57,399
Speaker 2: much rather be a black black in America than black

514
00:26:57,480 --> 00:27:01,440
Speaker 2: and Sudan. Right. Try to act as if they wouldn't.

515
00:27:01,440 --> 00:27:04,560
Speaker 2: They try to act as if it's like there's always

516
00:27:04,560 --> 00:27:07,359
Speaker 2: this constant mention of the transatlantic slave trade, which did happen.

517
00:27:07,480 --> 00:27:10,280
Speaker 2: But let's be honest, Like when the Europeans were sailing south,

518
00:27:10,359 --> 00:27:13,160
Speaker 2: either from North America or whatever, It's not like they

519
00:27:13,520 --> 00:27:15,560
Speaker 2: would sail all the way down to Subseran African to

520
00:27:15,600 --> 00:27:19,080
Speaker 2: start grabbing people, grabbing these Africans who are running constantly.

521
00:27:19,119 --> 00:27:22,320
Speaker 2: That's not something that is even it makes any sense.

522
00:27:23,200 --> 00:27:26,639
Speaker 2: These people were already brought as slaves by other African

523
00:27:26,720 --> 00:27:28,800
Speaker 2: rulers of the coast because they knew Europeans would be

524
00:27:28,800 --> 00:27:33,040
Speaker 2: there ready to trade, you know, give them items, gun

525
00:27:33,080 --> 00:27:36,359
Speaker 2: and stuff like that for these slaves. It's the majority

526
00:27:36,400 --> 00:27:40,600
Speaker 2: of these slaves were brought by Sub Saharan Africans themselves, who,

527
00:27:40,640 --> 00:27:42,920
Speaker 2: by the way, really didn't want the transit land slave

528
00:27:42,960 --> 00:27:45,080
Speaker 2: trade to end because they were enriching themselves, which she

529
00:27:45,080 --> 00:27:47,560
Speaker 2: failed to understand with her you know degree in that

530
00:27:47,760 --> 00:27:48,920
Speaker 2: African American studies.

531
00:27:50,080 --> 00:27:52,400
Speaker 1: Do you have you been to Angle since moving here?

532
00:27:53,240 --> 00:27:55,080
Speaker 2: No? No, no Ah, you've ever been back? Okay.

533
00:27:55,080 --> 00:27:58,400
Speaker 1: I was wondering if there was a different opinion of

534
00:28:00,480 --> 00:28:04,359
Speaker 1: black slavery in Africa versus America. I'm sure there is.

535
00:28:04,400 --> 00:28:06,080
Speaker 1: I just don't know what is I've never been in Africa,

536
00:28:06,119 --> 00:28:08,440
Speaker 1: but I just something that kind of popped in my head.

537
00:28:08,880 --> 00:28:11,720
Speaker 1: What you know, I've been doing this whole thing today

538
00:28:11,760 --> 00:28:14,640
Speaker 1: about the New York Times piece about voter registration right,

539
00:28:14,960 --> 00:28:17,680
Speaker 1: and how voter registration has changed away from Democratic Party,

540
00:28:17,760 --> 00:28:20,640
Speaker 1: especially for specifically young men. You are a young man,

541
00:28:20,720 --> 00:28:24,240
Speaker 1: you're eighteen years old. Is this something that you have

542
00:28:24,520 --> 00:28:29,760
Speaker 1: noticed a phenomenon among other young men in your age group?

543
00:28:29,800 --> 00:28:32,240
Speaker 1: Because young men, young black men went from voting I

544
00:28:32,280 --> 00:28:35,560
Speaker 1: think ninety six percent for Democrats in twenty twelve just

545
00:28:35,560 --> 00:28:38,000
Speaker 1: something like seventy five percent. So I went from like

546
00:28:38,040 --> 00:28:40,280
Speaker 1: twenty four to twenty five to one in four. We're

547
00:28:40,360 --> 00:28:43,200
Speaker 1: voting republic when I was twenty five, voting Republican twelve

548
00:28:43,280 --> 00:28:45,440
Speaker 1: years ago, when you were like six, and now it's

549
00:28:45,440 --> 00:28:49,480
Speaker 1: like one in four. That's a hu tremendous growth. Is

550
00:28:49,480 --> 00:28:52,400
Speaker 1: that something that you've seen among other like this growth

551
00:28:52,400 --> 00:28:55,400
Speaker 1: of it, this acceptance, is normalization something you've seen among

552
00:28:55,480 --> 00:28:57,320
Speaker 1: other young men your age?

553
00:28:58,040 --> 00:29:00,480
Speaker 2: I definitely have seen it. And the reason obvious for

554
00:29:00,560 --> 00:29:02,520
Speaker 2: why this is the case is because the Democratic Party

555
00:29:02,520 --> 00:29:05,160
Speaker 2: really isn't giving any solutions. All they are doing is

556
00:29:05,160 --> 00:29:07,640
Speaker 2: telling black people that you're a perpetual victim, and to

557
00:29:07,720 --> 00:29:09,520
Speaker 2: freak out whenever there is a white man or a

558
00:29:09,560 --> 00:29:12,080
Speaker 2: white police officer who want alives you when we have

559
00:29:12,240 --> 00:29:14,920
Speaker 2: you know, black men being unlived every single day in America,

560
00:29:15,120 --> 00:29:18,320
Speaker 2: And it's really a hypocritical perspective to act as if

561
00:29:18,600 --> 00:29:23,680
Speaker 2: it is, you know, this atrocity, this significant injustice when

562
00:29:23,680 --> 00:29:25,360
Speaker 2: you don't come outside every day when there are black

563
00:29:25,400 --> 00:29:27,320
Speaker 2: men being un alive in southside Chicago. So are you

564
00:29:27,360 --> 00:29:29,920
Speaker 2: really black lives matter? Or are you trying to just

565
00:29:30,080 --> 00:29:33,000
Speaker 2: make white people look bad? Right?

566
00:29:33,440 --> 00:29:35,760
Speaker 1: Yeah, well you grew up in Maine, you said, which

567
00:29:35,800 --> 00:29:37,960
Speaker 1: is a fairly liberal state. It's not the most liberal.

568
00:29:37,960 --> 00:29:39,640
Speaker 1: It's not Vermont, it's really liberal.

569
00:29:39,880 --> 00:29:40,080
Speaker 2: Yeah.

570
00:29:41,040 --> 00:29:43,880
Speaker 1: Do you what do you like when you speak to

571
00:29:44,160 --> 00:29:47,400
Speaker 1: like young, younger white people who have a tremendous level

572
00:29:47,400 --> 00:29:51,160
Speaker 1: of white guilt or like they're extremely woke around race relations.

573
00:29:51,400 --> 00:29:53,920
Speaker 1: How do you approach that? Because you know a lot

574
00:29:54,040 --> 00:29:56,200
Speaker 1: more I feel like than the average person on even

575
00:29:56,280 --> 00:29:59,600
Speaker 1: like slavery, with what you mentioned today, Yeah, I try

576
00:29:59,600 --> 00:30:02,160
Speaker 1: to approach with just some like basic questions.

577
00:30:02,600 --> 00:30:04,520
Speaker 2: You know that do you ever participate in slavery? Do

578
00:30:04,560 --> 00:30:07,280
Speaker 2: you believe in generational punishment? Right? Countries like North Korea

579
00:30:07,320 --> 00:30:09,440
Speaker 2: have like the three generational rule where if you know

580
00:30:09,960 --> 00:30:12,280
Speaker 2: you do something, your children will suffer and you know

581
00:30:12,920 --> 00:30:15,400
Speaker 2: your your father will suffer or something like that. I mean,

582
00:30:15,720 --> 00:30:18,360
Speaker 2: you don't you shouldn't have to pay for the consequences

583
00:30:18,400 --> 00:30:21,840
Speaker 2: of your ancestors. Not to mention, many of these white

584
00:30:21,840 --> 00:30:24,760
Speaker 2: people today did arrive as immigrants in the seventeen hundreds

585
00:30:24,840 --> 00:30:27,000
Speaker 2: or eighteen hundreds and nineteen hundreds, so a lot of

586
00:30:27,000 --> 00:30:29,640
Speaker 2: them weren't even you know, their their family lineage, weren't

587
00:30:29,640 --> 00:30:32,680
Speaker 2: even owning any slaves. They should still have to pay reparations.

588
00:30:32,680 --> 00:30:35,840
Speaker 2: A lot of this is fallacious, and there has been

589
00:30:36,120 --> 00:30:39,520
Speaker 2: reparations in terms of investment in low income black communities already.

590
00:30:40,320 --> 00:30:43,320
Speaker 2: For example, I'm pretty sure what is they have Baltimore.

591
00:30:43,320 --> 00:30:45,600
Speaker 2: I think, yeah, Baltimore public schools, it's twenty two thousand,

592
00:30:45,680 --> 00:30:49,920
Speaker 2: five hundred like dollars per students. There in Utah it's

593
00:30:49,920 --> 00:30:53,240
Speaker 2: like half that, with like eleven thousand per student. And

594
00:30:53,320 --> 00:30:56,520
Speaker 2: yet there's a big difference in like you know, test scores,

595
00:30:56,960 --> 00:30:58,920
Speaker 2: in like school outcomes and so on and so forth.

596
00:30:58,920 --> 00:31:00,800
Speaker 2: So it's not even just funding. A lot of this

597
00:31:00,920 --> 00:31:04,440
Speaker 2: has to do with, you know, the nuclear family, with

598
00:31:04,560 --> 00:31:07,120
Speaker 2: prioritizing education, with having a father in the home, like

599
00:31:07,160 --> 00:31:09,040
Speaker 2: all of those different other factors. We just know that

600
00:31:09,080 --> 00:31:11,640
Speaker 2: pumping money into things just doesn't fix issues as long

601
00:31:11,680 --> 00:31:13,880
Speaker 2: as much as like I know, that's what democrats want

602
00:31:13,880 --> 00:31:15,600
Speaker 2: to hear and what leftists want to hear, that if

603
00:31:15,600 --> 00:31:17,520
Speaker 2: you just pump money into these different things and don't

604
00:31:17,520 --> 00:31:20,840
Speaker 2: focus on any cultural problems because there is no cultural

605
00:31:20,840 --> 00:31:24,240
Speaker 2: problems according to the left, that that will fix the issue.

606
00:31:24,240 --> 00:31:25,680
Speaker 2: But it just doesn't prove to be true.

607
00:31:25,960 --> 00:31:29,320
Speaker 1: It's basically everything in Thomasaul has been saying for eighty

608
00:31:29,360 --> 00:31:31,400
Speaker 1: five years. What did you ever read him?

609
00:31:31,400 --> 00:31:35,320
Speaker 2: By the way, yes, Thomas Soul, He's also a big inspiration.

610
00:31:36,200 --> 00:31:38,960
Speaker 1: Where did you get your concern? I mean you said

611
00:31:39,040 --> 00:31:41,040
Speaker 1: your parents, but like where did you learn things from

612
00:31:41,040 --> 00:31:42,840
Speaker 1: the internet mostly or did you read or.

613
00:31:43,480 --> 00:31:45,200
Speaker 2: I think a combination of a little bit of both.

614
00:31:45,240 --> 00:31:48,440
Speaker 2: I've looked into Ben Carson, Thomas Soul, and I've just

615
00:31:48,600 --> 00:31:50,200
Speaker 2: done a lot of a decent amount of reading. Not

616
00:31:50,200 --> 00:31:51,680
Speaker 2: I would say, like a crazy amount of ring, but

617
00:31:51,720 --> 00:31:53,680
Speaker 2: I've done decent amount of reading in general. In reference

618
00:31:53,680 --> 00:31:57,040
Speaker 2: to looking at things online, looking at statistics, looking at

619
00:31:57,040 --> 00:31:59,080
Speaker 2: the facts, looking at the data, and then just starting

620
00:31:59,080 --> 00:32:01,040
Speaker 2: to kind of figure things out, right, like one set up,

621
00:32:01,280 --> 00:32:02,920
Speaker 2: one step at a time, trying to figure things out.

622
00:32:03,320 --> 00:32:06,200
Speaker 2: And then middle started tiktoking your opinion right, just started Yeah,

623
00:32:06,240 --> 00:32:07,600
Speaker 2: just started doing stick to doll lives.

624
00:32:07,840 --> 00:32:11,560
Speaker 1: Normal gen Z stuff. So just two quick things. So

625
00:32:11,680 --> 00:32:14,280
Speaker 1: one actually brought up to schools and in have you

626
00:32:14,320 --> 00:32:16,320
Speaker 1: heard of the miracle from Mississippi? Have you heard of

627
00:32:16,320 --> 00:32:20,680
Speaker 1: this phenomenon? Mississippi changed a rule when it came to education,

628
00:32:20,760 --> 00:32:22,600
Speaker 1: which basically means if you could not read at a

629
00:32:22,640 --> 00:32:24,400
Speaker 1: third grade level, you could not go to fourth grade.

630
00:32:24,400 --> 00:32:26,240
Speaker 1: And there was basically no exemptions. And it was ten

631
00:32:26,400 --> 00:32:29,560
Speaker 1: years but there was very little financial increases. But they

632
00:32:29,560 --> 00:32:32,440
Speaker 1: got everyone on board. They retrained teachers, they did the

633
00:32:32,520 --> 00:32:35,920
Speaker 1: science of reading, and black Americans in Mississippi actually have

634
00:32:36,000 --> 00:32:38,960
Speaker 1: higher test scores than black Americans in Maryland, right among

635
00:32:39,000 --> 00:32:44,920
Speaker 1: many other places. Refusing to allow people to fail and

636
00:32:44,960 --> 00:32:48,640
Speaker 1: they fail forwards especially is a huge incentive to really

637
00:32:48,680 --> 00:32:53,120
Speaker 1: improving the overall standards. Is this something that like is

638
00:32:53,160 --> 00:32:56,440
Speaker 1: a broad understanding among like, I mean, I can know

639
00:32:56,520 --> 00:32:58,440
Speaker 1: it's for conservatives, but I know I'm asking you a

640
00:32:58,520 --> 00:33:01,760
Speaker 1: question me a conservative. Yeah, I believe it's like for

641
00:33:01,840 --> 00:33:02,680
Speaker 1: other black people.

642
00:33:03,800 --> 00:33:06,040
Speaker 2: I don't know if it's abroad, I don't think most

643
00:33:06,080 --> 00:33:08,600
Speaker 2: black people would necessarily agree with that. I'm not necessarily sure.

644
00:33:08,680 --> 00:33:11,920
Speaker 2: I would assume that they probably you know, woul Int

645
00:33:12,040 --> 00:33:14,920
Speaker 2: grew with it. But like I think it's I think

646
00:33:14,920 --> 00:33:18,480
Speaker 2: it's better for us to focus on, you know, the whole,

647
00:33:18,520 --> 00:33:20,480
Speaker 2: like no Child Left Behind, steff just doesn't work, Like

648
00:33:20,480 --> 00:33:23,080
Speaker 2: we have the data on this stuff. Nothing really is

649
00:33:23,120 --> 00:33:26,720
Speaker 2: fixed by the trying to fix theseusparities, like the whole

650
00:33:26,800 --> 00:33:29,920
Speaker 2: Lebron James School that's heavily funded still received like low

651
00:33:30,480 --> 00:33:34,320
Speaker 2: test word. I'm pretty sure like the Akron Akron aboard

652
00:33:35,880 --> 00:33:38,200
Speaker 2: they figured out that. Hold on, there's so much money

653
00:33:38,280 --> 00:33:40,120
Speaker 2: being pumped in, why are the test scores not, you know,

654
00:33:40,200 --> 00:33:44,720
Speaker 2: significantly increasing. So, yeah, there's there's cultural.

655
00:33:44,280 --> 00:33:49,160
Speaker 1: Issues here right in among an immigrant you see you're

656
00:33:49,240 --> 00:33:53,000
Speaker 1: you're with a lot of African immigrants in Maine. Was

657
00:33:53,040 --> 00:33:56,959
Speaker 1: this a broadly accepted concept among African immigrants in America

658
00:33:57,080 --> 00:34:01,200
Speaker 1: that the family unit is so important to raising people?

659
00:34:01,280 --> 00:34:01,640
Speaker 2: Right? Is that?

660
00:34:01,800 --> 00:34:05,240
Speaker 1: Is that a big difference between African Americans there's African immigrants.

661
00:34:05,040 --> 00:34:07,920
Speaker 2: No, absolutely, I think there's a different cultural there's a

662
00:34:07,920 --> 00:34:10,600
Speaker 2: significant cultural difference when it comes to that. I believe

663
00:34:10,600 --> 00:34:13,920
Speaker 2: that we're much more appreciative when it comes to United States,

664
00:34:15,320 --> 00:34:17,920
Speaker 2: less entitled as well more grateful because of where we're

665
00:34:17,920 --> 00:34:22,560
Speaker 2: coming from specifically and understanding that. And yeah, big emphasis

666
00:34:22,600 --> 00:34:23,160
Speaker 2: on the family.

667
00:34:23,719 --> 00:34:26,520
Speaker 1: There's a huge difference from how I've noticed my friends

668
00:34:26,520 --> 00:34:29,200
Speaker 1: who are African and Caribbean immigrants, how they speak of

669
00:34:29,239 --> 00:34:31,880
Speaker 1: Black Americans, including my own family members. I have a

670
00:34:31,880 --> 00:34:33,839
Speaker 1: few family mems who are Black Caribbean and they are

671
00:34:34,400 --> 00:34:37,480
Speaker 1: They do not speak about African Americans the sentence of

672
00:34:37,520 --> 00:34:40,960
Speaker 1: slaves very well. Just little note, side note. I don't

673
00:34:40,960 --> 00:34:43,279
Speaker 1: know if you can agree and disagree, but I agree.

674
00:34:43,320 --> 00:34:45,080
Speaker 2: Yeah.

675
00:34:45,239 --> 00:34:50,760
Speaker 1: But the the interesting trend that no one really talks

676
00:34:50,760 --> 00:34:54,480
Speaker 1: about or knows is that black fertility rates African Americans

677
00:34:54,520 --> 00:34:56,880
Speaker 1: hill rates is decline substantially. It's actually lower than whites

678
00:34:56,880 --> 00:35:00,479
Speaker 1: for the first time I think almost ever documented. And

679
00:35:00,600 --> 00:35:03,040
Speaker 1: a bigger and bigger percentage of people who have children

680
00:35:03,080 --> 00:35:06,919
Speaker 1: today who are Black have ancestry in immigration right, which

681
00:35:06,960 --> 00:35:11,560
Speaker 1: is completely different from all historical standards. I wonder if

682
00:35:11,600 --> 00:35:16,280
Speaker 1: that changes the dynamics of the future of how Black

683
00:35:16,320 --> 00:35:21,080
Speaker 1: Americans a significant portion no longer rooting their life to slavery,

684
00:35:21,160 --> 00:35:25,160
Speaker 1: into redlining and to everything else will change their relationship

685
00:35:25,400 --> 00:35:28,800
Speaker 1: either not only just between the parties and African Americans,

686
00:35:28,840 --> 00:35:31,440
Speaker 1: but African Americans' opinions of our own country because it

687
00:35:31,520 --> 00:35:32,360
Speaker 1: is very low.

688
00:35:33,920 --> 00:35:35,960
Speaker 2: I believe it. I believe it would. It's definitely a

689
00:35:35,960 --> 00:35:38,600
Speaker 2: possibility that there's going to definitely be some change there

690
00:35:38,600 --> 00:35:40,560
Speaker 2: in general. But I also do see a lot of

691
00:35:40,560 --> 00:35:45,200
Speaker 2: African Americans who try to assimilate into Black American culture

692
00:35:45,239 --> 00:35:47,400
Speaker 2: a lot of the times, and you know that's also something.

693
00:35:47,480 --> 00:35:50,520
Speaker 1: So what does that means assimiling in Black American culture?

694
00:35:51,040 --> 00:35:54,200
Speaker 2: Well, I think a lot of them that are immigrants

695
00:35:54,400 --> 00:35:56,279
Speaker 2: who come here try to do this thing where they're

696
00:35:56,280 --> 00:35:59,200
Speaker 2: trying to necessarily fit in with all of the narratives

697
00:35:59,200 --> 00:36:02,279
Speaker 2: surrounding Black America Erica, and to me, I find find

698
00:36:02,280 --> 00:36:04,640
Speaker 2: it a lot of cringe cringeing. I'm not saying Black

699
00:36:04,680 --> 00:36:07,200
Speaker 2: American culture is just gang violence, because of course there's

700
00:36:07,239 --> 00:36:08,680
Speaker 2: more than just gang violence, but a lot of them

701
00:36:08,719 --> 00:36:11,480
Speaker 2: do specifically try to get on the negative parts and

702
00:36:11,719 --> 00:36:15,200
Speaker 2: try to, you know, join gangs or be in the

703
00:36:15,239 --> 00:36:17,880
Speaker 2: street life in general, which I don't understand how you

704
00:36:17,920 --> 00:36:19,920
Speaker 2: could after you come from a third world country and

705
00:36:19,920 --> 00:36:23,320
Speaker 2: you're given such an opportunity, but you know, stuff works

706
00:36:23,600 --> 00:36:23,880
Speaker 2: right now?

707
00:36:23,960 --> 00:36:26,239
Speaker 1: I I that's that's really interesting. I live a lot

708
00:36:26,280 --> 00:36:27,799
Speaker 1: of times in the zeep South. A half the year

709
00:36:27,800 --> 00:36:30,640
Speaker 1: I spend in Louisiana, so I see a lot of

710
00:36:32,000 --> 00:36:34,160
Speaker 1: a lot of that, more than I than I care to.

711
00:36:34,680 --> 00:36:36,920
Speaker 1: What do you think if you're a young person, if

712
00:36:36,960 --> 00:36:39,560
Speaker 1: you you do some TikTok all the time, what are

713
00:36:39,680 --> 00:36:43,200
Speaker 1: like three two or three things that like young people

714
00:36:43,200 --> 00:36:45,600
Speaker 1: are talking about on the internet As far as because

715
00:36:45,600 --> 00:36:47,480
Speaker 1: you talk a lot about Israel and other things, I've

716
00:36:47,520 --> 00:36:48,960
Speaker 1: noticed I saw some of your tiktoks?

717
00:36:49,920 --> 00:36:52,120
Speaker 2: What made you engage? Like?

718
00:36:52,200 --> 00:36:54,759
Speaker 1: What are the topics that you ask so often find

719
00:36:54,800 --> 00:36:57,360
Speaker 1: yourself engaged? Obviously it's not all race relations as it

720
00:36:57,440 --> 00:36:59,879
Speaker 1: was in this you you Believe video? No, yeah, it's

721
00:37:00,000 --> 00:37:01,840
Speaker 1: fleeen Israel and Palestine. And the reason why I started

722
00:37:01,840 --> 00:37:05,520
Speaker 1: engaging in those conversations is because I kind of I

723
00:37:05,520 --> 00:37:07,360
Speaker 1: saw the whole cures for Palestine movement and I'm like,

724
00:37:07,400 --> 00:37:09,120
Speaker 1: how can you support people who would literally want you

725
00:37:09,200 --> 00:37:12,600
Speaker 1: dead and don't align with the views whatsoever? And you know,

726
00:37:12,680 --> 00:37:16,200
Speaker 1: I went into the whole conversation about you know, Israel

727
00:37:16,239 --> 00:37:19,000
Speaker 1: being that's basically the only democracy in the Middle East,

728
00:37:19,040 --> 00:37:22,120
Speaker 1: the only country where Arabs can vote in the Middle East,

729
00:37:22,920 --> 00:37:25,279
Speaker 1: in the only country that is not an open deocracy

730
00:37:25,360 --> 00:37:27,920
Speaker 1: in the Middle East, who was attacked and should have

731
00:37:27,960 --> 00:37:29,960
Speaker 1: the right to at least defend itself as any other

732
00:37:29,960 --> 00:37:31,840
Speaker 1: country would probably behaved if they were an attacked in

733
00:37:31,880 --> 00:37:33,840
Speaker 1: the same exact way. And so what I felt that

734
00:37:33,880 --> 00:37:36,040
Speaker 1: I have a duty as an American to support our

735
00:37:36,080 --> 00:37:39,440
Speaker 1: ally and give justifications for why we support our ally

736
00:37:40,280 --> 00:37:42,200
Speaker 1: and why a lot of people just don't have good

737
00:37:42,239 --> 00:37:45,880
Speaker 1: reasons as to why we shouldn't support Israel. And so

738
00:37:45,960 --> 00:37:47,959
Speaker 1: that's kind of how I got into that whole thing,

739
00:37:48,360 --> 00:37:51,000
Speaker 1: and it kind of leaks over into the whole idea

740
00:37:51,120 --> 00:37:58,080
Speaker 1: of colonialism of people who are who are victims versus

741
00:37:58,640 --> 00:38:02,120
Speaker 1: you know, people who can com people who commit atroscies

742
00:38:02,120 --> 00:38:05,720
Speaker 1: on people versus victims. Their whole understanding, I'm very basic understanding.

743
00:38:05,760 --> 00:38:08,120
Speaker 1: I have like two woke white lived cousins who like

744
00:38:08,200 --> 00:38:10,319
Speaker 1: say shit like this all the time, but they're like

745
00:38:11,000 --> 00:38:13,560
Speaker 1: they very much opinion is well, if they are brown

746
00:38:13,640 --> 00:38:15,200
Speaker 1: or therefore they must be victims.

747
00:38:15,200 --> 00:38:17,160
Speaker 2: It kind of does boil down to that. Did you

748
00:38:17,320 --> 00:38:20,280
Speaker 2: ever come across absolutely that is essentially left this ideology.

749
00:38:20,280 --> 00:38:21,680
Speaker 2: A lot of people ask me why don't people care

750
00:38:21,719 --> 00:38:23,680
Speaker 2: about the DRC or Sudan. Is it because the people

751
00:38:23,680 --> 00:38:26,640
Speaker 2: that are black? And that's not really the reason, because

752
00:38:26,920 --> 00:38:29,440
Speaker 2: the Arabs in Gaza are not much different from the

753
00:38:29,480 --> 00:38:32,920
Speaker 2: Arabs in Cyria or the Arabs in Yemen, who have

754
00:38:33,040 --> 00:38:36,560
Speaker 2: went through worse things and have you know, actually experienced

755
00:38:36,560 --> 00:38:38,560
Speaker 2: a lot of hunger while Kaza has received the most

756
00:38:38,560 --> 00:38:41,200
Speaker 2: amount of food or capita. And it's not about the

757
00:38:41,200 --> 00:38:43,440
Speaker 2: death count obviously either. So what the MA main issue

758
00:38:43,520 --> 00:38:45,080
Speaker 2: is that the left in order for them to care

759
00:38:45,120 --> 00:38:48,560
Speaker 2: about anything, is that there has to be a white

760
00:38:48,719 --> 00:38:50,680
Speaker 2: or if you know, they state they make Jews white

761
00:38:50,719 --> 00:38:53,000
Speaker 2: in order if for it to fit the narrative, you know,

762
00:38:53,040 --> 00:38:56,600
Speaker 2: oppressor slash brown black victim. If there's not that dynamic,

763
00:38:56,600 --> 00:38:59,200
Speaker 2: then they don't really care. It's not about atrocities, it's

764
00:38:59,200 --> 00:39:01,359
Speaker 2: not about who's hungry. It's not about what's going on

765
00:39:01,440 --> 00:39:03,920
Speaker 2: and how bad it is, how bad the conditions are.

766
00:39:03,960 --> 00:39:06,760
Speaker 2: Because when the Rwanda, which is a black majority country

767
00:39:06,800 --> 00:39:08,960
Speaker 2: in some Seran Africa, invades at the RC while they're

768
00:39:08,960 --> 00:39:10,960
Speaker 2: both black guys, so we can't call Rwanda apparently a

769
00:39:10,960 --> 00:39:14,560
Speaker 2: colonizer because you know, white people never imperialize each other,

770
00:39:15,000 --> 00:39:17,080
Speaker 2: or black people can't imperialize each other. So it's just

771
00:39:17,120 --> 00:39:20,280
Speaker 2: typicualt left this ideology, and that leaks othern to America.

772
00:39:20,320 --> 00:39:21,880
Speaker 2: What you said before, why don't you care about the

773
00:39:21,880 --> 00:39:27,600
Speaker 2: southside of Chicago because it's a black person killing another

774
00:39:27,600 --> 00:39:31,000
Speaker 2: black person? Exactly, it's typical left this ideology, the same

775
00:39:31,000 --> 00:39:32,960
Speaker 2: thing that works with BLM, the same thing that works

776
00:39:33,000 --> 00:39:37,759
Speaker 2: with the you know, radical movements. You have to have

777
00:39:37,800 --> 00:39:39,800
Speaker 2: that sort of dynamic. You have to have someone to

778
00:39:39,920 --> 00:39:41,080
Speaker 2: blame right.

779
00:39:41,480 --> 00:39:47,279
Speaker 1: Right, and unlike I think, unlike leftist theory from even

780
00:39:47,360 --> 00:39:49,360
Speaker 1: thirty years ago when I was a kid, which is

781
00:39:49,400 --> 00:39:51,839
Speaker 1: a lot of which is a lot of rooted in

782
00:39:52,000 --> 00:39:55,400
Speaker 1: class dynamics, it's almost all race dynamics.

783
00:39:55,440 --> 00:39:55,560
Speaker 2: Now.

784
00:39:55,560 --> 00:39:57,920
Speaker 1: I mean there's, I guess hints of class dynamics, but

785
00:39:57,960 --> 00:39:58,839
Speaker 1: it's almost.

786
00:39:58,520 --> 00:39:59,760
Speaker 2: All the basis of race.

787
00:40:00,960 --> 00:40:05,080
Speaker 1: And I wonder if that has affected because I said

788
00:40:05,080 --> 00:40:07,560
Speaker 1: this in the in the in the monogue earlier, seventy

789
00:40:07,560 --> 00:40:11,360
Speaker 1: one percent of white young white men are now registering

790
00:40:11,400 --> 00:40:13,680
Speaker 1: Republicans people who are born when you were born, right,

791
00:40:14,000 --> 00:40:17,120
Speaker 1: That has never happened before, and there's been an increase

792
00:40:17,160 --> 00:40:19,680
Speaker 1: in black and Hispanic too. But I wonder if the

793
00:40:20,000 --> 00:40:23,000
Speaker 1: overwhelming consciousness of race being the center of everything has

794
00:40:23,080 --> 00:40:27,520
Speaker 1: really turned down young gen Z men like yourself.

795
00:40:28,320 --> 00:40:30,760
Speaker 2: Oh no, absolutely, And people say, you know, black fatigue

796
00:40:30,760 --> 00:40:32,880
Speaker 2: and all these different things. It's really just leftist fatigue

797
00:40:32,880 --> 00:40:35,680
Speaker 2: and leftist ideology fatigue in general. I mean, I think

798
00:40:35,680 --> 00:40:37,239
Speaker 2: everyone's tired of it. I think this is why many

799
00:40:37,360 --> 00:40:39,880
Speaker 2: young men, regardless of black or white or you know,

800
00:40:39,960 --> 00:40:41,960
Speaker 2: leaning more conservative, leaning more right, and which is why

801
00:40:42,000 --> 00:40:44,680
Speaker 2: the Democratic Party is losing out of support, because people

802
00:40:44,719 --> 00:40:47,759
Speaker 2: are tired of the Democratic Parties, you know, you know,

803
00:40:47,880 --> 00:40:50,720
Speaker 2: exhausted arguments that people are tired of hearing the other victim.

804
00:40:51,360 --> 00:40:53,799
Speaker 2: People are tired of not getting any answers or any

805
00:40:53,800 --> 00:40:57,320
Speaker 2: explanations whatsoever. And of course it's made the popular party,

806
00:40:57,600 --> 00:40:59,440
Speaker 2: I mean, made it more unpopular. And when you have

807
00:40:59,440 --> 00:41:02,000
Speaker 2: someone like, for sample, a man of seals who responds

808
00:41:02,000 --> 00:41:04,319
Speaker 2: to people's arguments by saying that, you know, treat me

809
00:41:04,320 --> 00:41:05,600
Speaker 2: as if I was your mom, or speak to me

810
00:41:05,640 --> 00:41:07,680
Speaker 2: as if I was your mom, it's not really, you know,

811
00:41:07,719 --> 00:41:10,600
Speaker 2: anything that's compelling. It's not a compelling argument whatsoever. So

812
00:41:10,760 --> 00:41:12,680
Speaker 2: I don't know how can they not lose a part

813
00:41:12,719 --> 00:41:15,319
Speaker 2: when that's how they behave, when they behave out of emotionality.

814
00:41:15,680 --> 00:41:17,960
Speaker 1: Two quick questions, so too, last questions. One, is there

815
00:41:18,000 --> 00:41:20,160
Speaker 1: anything you didn't get to say in that Jubilee debate

816
00:41:20,200 --> 00:41:22,239
Speaker 1: that you wished you would have that you could say now?

817
00:41:23,600 --> 00:41:25,839
Speaker 2: Yeah, I think I wanted to mention more, you know,

818
00:41:26,920 --> 00:41:30,879
Speaker 2: in like ways that racism has been happening against white people.

819
00:41:30,920 --> 00:41:33,280
Speaker 2: I did mention the University of Western Washington, but for example,

820
00:41:33,280 --> 00:41:36,880
Speaker 2: Brandon Johnson, the mayor of Chicago, who has been touting

821
00:41:36,920 --> 00:41:40,040
Speaker 2: the amount of black people he's hired for his you know, administration,

822
00:41:40,520 --> 00:41:42,520
Speaker 2: and help few white people and all those different things.

823
00:41:42,520 --> 00:41:45,360
Speaker 2: The DJ Actually, I think the Civil Rights Division specifically

824
00:41:45,480 --> 00:41:48,960
Speaker 2: opened up an investigation into Brandon Johnson because of that, obviously,

825
00:41:49,680 --> 00:41:52,480
Speaker 2: and that's another waste of something racism has been going on.

826
00:41:52,560 --> 00:41:55,920
Speaker 2: I also wanted to mention United air Yeah, United Airlines,

827
00:41:56,520 --> 00:41:58,680
Speaker 2: because they said that what in the year twenty fifty,

828
00:41:59,239 --> 00:42:01,680
Speaker 2: I don't know that there or forty percent of the

829
00:42:01,719 --> 00:42:03,919
Speaker 2: pilots will be block It's like this weird thing where

830
00:42:03,920 --> 00:42:05,719
Speaker 2: you're like, we know for a fact, by this year

831
00:42:06,040 --> 00:42:07,920
Speaker 2: we're going to have this many black pilots and we're

832
00:42:07,960 --> 00:42:11,040
Speaker 2: totally not discriminating anyone to get to that point, totally

833
00:42:11,040 --> 00:42:13,320
Speaker 2: not right. So I think I wanted to mention that

834
00:42:13,360 --> 00:42:14,880
Speaker 2: as well, because it's like, it's it's silly if if

835
00:42:14,920 --> 00:42:17,960
Speaker 2: any this is the thing is that it's so hypocritical.

836
00:42:18,120 --> 00:42:20,080
Speaker 2: A lot of black people can do things that white

837
00:42:20,120 --> 00:42:22,880
Speaker 2: people could never do or even say. Right, if any

838
00:42:23,080 --> 00:42:26,280
Speaker 2: like you know, black person you know, owned any company

839
00:42:26,280 --> 00:42:28,200
Speaker 2: and said I'm going to make sure that this is

840
00:42:28,200 --> 00:42:30,960
Speaker 2: going to be fifty percent black by this year, no

841
00:42:30,960 --> 00:42:32,480
Speaker 2: one's gonna have a problem. Then I's gonna figure out.

842
00:42:32,480 --> 00:42:33,680
Speaker 2: If a white person said I'm gona sure this is

843
00:42:33,680 --> 00:42:36,880
Speaker 2: fifty or sixty percent white by this year, everyone goes out.

844
00:42:36,880 --> 00:42:38,560
Speaker 2: I might as well, you know, do riots and loot

845
00:42:38,560 --> 00:42:41,359
Speaker 2: from small businesses when that happens, right, So it's it's

846
00:42:41,400 --> 00:42:44,919
Speaker 2: just humorous. Everyone's tired of this whole you know, you know,

847
00:42:45,120 --> 00:42:47,840
Speaker 2: white people are guilty, White people are evil, colonizers, and

848
00:42:47,880 --> 00:42:50,880
Speaker 2: all these sorts of different things. People are tired of it.

849
00:42:50,920 --> 00:42:51,800
Speaker 2: And that's just the truth.

850
00:42:52,160 --> 00:42:54,279
Speaker 1: Do you find that in like your own life in

851
00:42:54,360 --> 00:42:57,520
Speaker 1: Maine like that? I mean I asked this before, but like,

852
00:42:57,680 --> 00:42:59,680
Speaker 1: is it more common than not even in a blue

853
00:42:59,719 --> 00:43:01,919
Speaker 1: place like that. But do you ever find someone who,

854
00:43:02,560 --> 00:43:04,200
Speaker 1: like a white kid, who does say those things and

855
00:43:04,239 --> 00:43:05,920
Speaker 1: you're like, Wow, this is really refreshing and doesn't come

856
00:43:05,960 --> 00:43:07,160
Speaker 1: off like a crazy person to you.

857
00:43:09,520 --> 00:43:10,960
Speaker 2: Well, I didn't. Well, when I was in Maine, I

858
00:43:11,000 --> 00:43:13,239
Speaker 2: didn't really hear much people will specifically talk about that.

859
00:43:13,239 --> 00:43:15,960
Speaker 2: The people in Maine, by the way, are very nice

860
00:43:16,080 --> 00:43:18,840
Speaker 2: in general, very kind hearted people, although I did is

861
00:43:18,840 --> 00:43:23,239
Speaker 2: a majority liberal state, but in general, I mean, I

862
00:43:23,239 --> 00:43:24,600
Speaker 2: don't know if I've ever heard a lot of these

863
00:43:24,680 --> 00:43:26,680
Speaker 2: arguments from the white people in main in general. I

864
00:43:26,680 --> 00:43:28,560
Speaker 2: don't think that they're really willing to say that because

865
00:43:28,560 --> 00:43:30,680
Speaker 2: they think that you might come out as racist or evil,

866
00:43:31,360 --> 00:43:33,200
Speaker 2: which you know, brings me to another point is the

867
00:43:33,239 --> 00:43:35,160
Speaker 2: fact that if we were sitting across from NSCLS and

868
00:43:35,160 --> 00:43:37,920
Speaker 2: we were white, she would definitely be calling us racist, okay,

869
00:43:38,440 --> 00:43:40,719
Speaker 2: And she tried to exclude me by oh, well, you

870
00:43:40,719 --> 00:43:44,200
Speaker 2: you know, you came from Africa a little later than

871
00:43:44,239 --> 00:43:46,319
Speaker 2: my family did, therefore were better than you in some

872
00:43:46,360 --> 00:43:47,240
Speaker 2: sort of way or something.

873
00:43:47,680 --> 00:43:50,759
Speaker 1: Yeah, are more like got that, yes, which is really

874
00:43:50,760 --> 00:43:53,120
Speaker 1: silly as well. If a white person ever said that

875
00:43:53,160 --> 00:43:56,239
Speaker 1: you're less authentically American to a black person, it would

876
00:43:56,239 --> 00:43:59,160
Speaker 1: also be considered racist. Matt, where can people go to

877
00:43:59,280 --> 00:44:01,359
Speaker 1: like listen to you more and see more of your stuff?

878
00:44:01,360 --> 00:44:03,359
Speaker 1: Because I think you're really engaging, that you're really smart.

879
00:44:03,400 --> 00:44:06,160
Speaker 1: I think you could have a big career in this.

880
00:44:06,280 --> 00:44:08,879
Speaker 1: And I was tweeting about you like crazy, saying someone

881
00:44:09,239 --> 00:44:11,279
Speaker 1: and I think you're to twenty thousand followers close to.

882
00:44:11,280 --> 00:44:13,360
Speaker 2: On Twitter and I at twenty one point three or

883
00:44:13,400 --> 00:44:17,439
Speaker 2: four thousand followers now, and and I appreciate everyone follow

884
00:44:17,480 --> 00:44:19,480
Speaker 2: the kind messages and generosity. People can find me on

885
00:44:19,480 --> 00:44:21,440
Speaker 2: the X. I did finally fix my handle. It's just

886
00:44:21,560 --> 00:44:25,560
Speaker 2: Matt nuclear X. It is Matt Nuclear. On TikTok. It

887
00:44:25,600 --> 00:44:28,600
Speaker 2: is Matt Nuclear also on YouTube, and I'm going to

888
00:44:28,640 --> 00:44:32,440
Speaker 2: create a Instagram account as well pretty soon so people

889
00:44:32,480 --> 00:44:35,719
Speaker 2: can find me there. Yeah, and you're going to talk

890
00:44:35,880 --> 00:44:38,360
Speaker 2: about Israel and other stuff like this or yeah, I

891
00:44:38,360 --> 00:44:41,240
Speaker 2: talk about multiple different subjects, whether it's Israel also semic racism,

892
00:44:41,320 --> 00:44:42,320
Speaker 2: any of these different things.

893
00:44:42,560 --> 00:44:44,560
Speaker 1: Awesome, Matt, You're really smart. I can't wait to see

894
00:44:44,560 --> 00:44:46,040
Speaker 1: where you go with this stuff. And I think that

895
00:44:46,400 --> 00:44:47,759
Speaker 1: I think you have a bright future ahead of you.

896
00:44:47,880 --> 00:44:49,640
Speaker 2: So thank you so much for having you onrun.

897
00:44:49,920 --> 00:44:52,240
Speaker 3: You're listening to it's a numbers game with Ryan Grodowski.

898
00:44:52,320 --> 00:44:58,040
Speaker 3: We'll be right back after this message. Well, I think

899
00:44:58,120 --> 00:45:00,560
Speaker 3: Matt Nuclear was super interesting. I hope you liked him

900
00:45:00,560 --> 00:45:00,879
Speaker 3: all right.

901
00:45:00,920 --> 00:45:03,319
Speaker 1: So a piece of DC gossip that I heard that

902
00:45:03,400 --> 00:45:06,400
Speaker 1: I thought you guys would find fascinating. There is a

903
00:45:06,480 --> 00:45:09,000
Speaker 1: member of Trump's cabinet. I'm not going to name names

904
00:45:09,080 --> 00:45:12,440
Speaker 1: until this comes out publicly, but you guys put two

905
00:45:12,480 --> 00:45:14,520
Speaker 1: and two together and you'll know what I'm talking about.

906
00:45:14,719 --> 00:45:19,160
Speaker 1: There is a member of the cabinet who's well known,

907
00:45:19,920 --> 00:45:21,800
Speaker 1: and it's well known that this member, it's a woman,

908
00:45:21,920 --> 00:45:25,799
Speaker 1: is having an affair, a very semi public affair, and

909
00:45:25,840 --> 00:45:27,319
Speaker 1: if you're in political circles, you know.

910
00:45:27,719 --> 00:45:27,919
Speaker 2: Well.

911
00:45:27,960 --> 00:45:32,080
Speaker 1: A reporter walked up to her and said to her,

912
00:45:32,320 --> 00:45:34,719
Speaker 1: why are you having this affair? Why haven't you met

913
00:45:34,800 --> 00:45:36,520
Speaker 1: up with your husand why don't you divorcing your husband?

914
00:45:36,800 --> 00:45:39,280
Speaker 1: And she blurted out to this reporter who.

915
00:45:39,120 --> 00:45:42,600
Speaker 2: I know, and said, oh, my husband's gay.

916
00:45:43,520 --> 00:45:49,680
Speaker 1: Like what, didn't even try and I don't know, make

917
00:45:49,760 --> 00:45:51,799
Speaker 1: something up. Oh why we're doing it for the kids,

918
00:45:51,800 --> 00:45:54,640
Speaker 1: we're still together, Please respect my prep blurt it out,

919
00:45:55,080 --> 00:45:57,600
Speaker 1: blurted it out. I don't know if it's going to

920
00:45:57,640 --> 00:45:58,840
Speaker 1: come forward. I don't know if they're going to do

921
00:45:58,840 --> 00:46:02,719
Speaker 1: a story, and it's maybe to gossiping. I found it

922
00:46:02,960 --> 00:46:09,000
Speaker 1: so interesting that they just blurted out and whatever, we'll

923
00:46:09,040 --> 00:46:10,640
Speaker 1: see if it comes about. I thought you guys would

924
00:46:10,640 --> 00:46:12,600
Speaker 1: find it fascinating. If it becomes a story, I'll talk

925
00:46:12,640 --> 00:46:15,440
Speaker 1: more about it. I don't someone's private life, but if

926
00:46:15,480 --> 00:46:17,319
Speaker 1: it becomes a story, I just think that it's very

927
00:46:17,360 --> 00:46:21,359
Speaker 1: interesting that they this person did not try harder to

928
00:46:21,480 --> 00:46:26,000
Speaker 1: protect their spouse in this conversation. All right, let's get

929
00:46:26,000 --> 00:46:29,400
Speaker 1: to ask me anything. I know some people really like

930
00:46:29,400 --> 00:46:30,719
Speaker 1: the gossip, so I try to give it when I

931
00:46:30,760 --> 00:46:33,680
Speaker 1: have it. All right, so they asked Me Anything segment

932
00:46:33,760 --> 00:46:35,480
Speaker 1: of this podcast. If you want to part of Ask

933
00:46:35,560 --> 00:46:39,280
Speaker 1: Me Anything, email me Ryan at numbers Game podcast dot com.

934
00:46:39,480 --> 00:46:42,200
Speaker 1: That's Ryan at numbers Game podcast dot com. The first

935
00:46:42,280 --> 00:46:43,880
Speaker 1: question I have is from a friend of mine who

936
00:46:43,960 --> 00:46:46,840
Speaker 1: doesn't want their name revealed, which is most friends of

937
00:46:46,880 --> 00:46:49,319
Speaker 1: mine when they have to associate with me. They say,

938
00:46:49,360 --> 00:46:53,440
Speaker 1: how does someone who has never been pulled get their

939
00:46:53,520 --> 00:46:56,760
Speaker 1: voice heard? And what is your implication towards voluntary polling

940
00:46:56,840 --> 00:47:00,239
Speaker 1: responses and biases? Okay, this is a great question. So

941
00:47:00,920 --> 00:47:03,600
Speaker 1: there is a polling bias in the sense that people

942
00:47:03,760 --> 00:47:09,000
Speaker 1: who want to be polls listen. Polling is very expensive, right,

943
00:47:09,080 --> 00:47:13,000
Speaker 1: It's extremely expensive. Polls cost thirty forty fifty thousand dollars

944
00:47:13,000 --> 00:47:15,160
Speaker 1: per pole. That's why you're seeing fewer and fewer poles

945
00:47:15,200 --> 00:47:16,480
Speaker 1: come out. By the way, if you notice there was

946
00:47:16,520 --> 00:47:19,400
Speaker 1: a lot more polls back in twenty sixteen and twenty twelve,

947
00:47:19,600 --> 00:47:21,960
Speaker 1: when you could just still still sit there and call

948
00:47:22,200 --> 00:47:24,359
Speaker 1: a landline or you know, just get a hold too

949
00:47:24,560 --> 00:47:26,560
Speaker 1: much easier. It's much harder now and you have to

950
00:47:26,680 --> 00:47:29,640
Speaker 1: use different forms of technology to get a hold of somebody.

951
00:47:29,680 --> 00:47:30,880
Speaker 2: Well, the.

952
00:47:33,640 --> 00:47:38,040
Speaker 1: Story with polling biases. People who answer polls are asked

953
00:47:38,120 --> 00:47:42,040
Speaker 1: again more often because they know they're likely to answer,

954
00:47:42,120 --> 00:47:44,520
Speaker 1: so it creates a polling bias. And also people who

955
00:47:44,560 --> 00:47:49,560
Speaker 1: are highly engaged in polling usually want to answer them more.

956
00:47:49,640 --> 00:47:51,359
Speaker 1: That's the kind of like the bias. And you can

957
00:47:51,400 --> 00:47:54,520
Speaker 1: see it sometimes in the cross tabs when you see

958
00:47:55,320 --> 00:47:57,160
Speaker 1: you'll see a poll and it'll be like Trump is

959
00:47:57,320 --> 00:48:01,160
Speaker 1: losing perfect I have perfect perfec. For example an Seltzer

960
00:48:01,200 --> 00:48:03,799
Speaker 1: and Seltzer's famous Iowa pull from twenty twenty four. I

961
00:48:04,000 --> 00:48:06,080
Speaker 1: called this as BS from the get go, and why

962
00:48:06,080 --> 00:48:07,400
Speaker 1: do I call it this bs? From the get go,

963
00:48:07,920 --> 00:48:11,560
Speaker 1: they had Trump losing white women over sixty five by

964
00:48:11,600 --> 00:48:15,480
Speaker 1: like thirty points. It was his worst demographic. Now, sixty

965
00:48:15,480 --> 00:48:17,560
Speaker 1: five year old white women in Iowa are more than

966
00:48:17,680 --> 00:48:23,120
Speaker 1: likely fairly religious, evangelical. They're probably not watching Rachel Maddow,

967
00:48:23,760 --> 00:48:27,720
Speaker 1: that is, and yet they were overwhelmingly shown in this poll.

968
00:48:27,960 --> 00:48:30,879
Speaker 1: They were overwhelmingly noticed in this poll. And you could

969
00:48:30,880 --> 00:48:33,080
Speaker 1: just spot it out saying there's there shouldn't be this

970
00:48:33,400 --> 00:48:38,120
Speaker 1: forty point demographic fallout with population. It's fairly fixed. It's

971
00:48:38,120 --> 00:48:41,240
Speaker 1: not like you know your your there's a huge population

972
00:48:41,360 --> 00:48:45,240
Speaker 1: changed in Iowa. It's not like you're importing a million

973
00:48:45,320 --> 00:48:47,319
Speaker 1: sixty five year olds and their sixty five year old women.

974
00:48:47,760 --> 00:48:50,520
Speaker 1: It was a very obvious thing, and so you can

975
00:48:50,600 --> 00:48:52,600
Speaker 1: kind of spot the biases there. And that's why a

976
00:48:52,600 --> 00:48:56,480
Speaker 1: lot of these pollsters are showing up huge problems when

977
00:48:56,520 --> 00:48:59,600
Speaker 1: it comes to their results, especially when Trump's involved, because

978
00:48:59,600 --> 00:49:01,919
Speaker 1: they can't get a hold of the low information voter

979
00:49:02,000 --> 00:49:04,399
Speaker 1: or something they don't want to show them. They would

980
00:49:04,400 --> 00:49:06,640
Speaker 1: love to that the polster who got it right. A

981
00:49:06,640 --> 00:49:08,239
Speaker 1: lot of them can't find them, and they do the

982
00:49:08,320 --> 00:49:12,160
Speaker 1: lazy work, and if a poll asks like seventy five

983
00:49:12,239 --> 00:49:16,600
Speaker 1: eighty questions, only someone who's so deranged like me would

984
00:49:16,640 --> 00:49:18,799
Speaker 1: answer eighty questions to a polster and they can't wait

985
00:49:18,840 --> 00:49:21,040
Speaker 1: for it. A normal poll would be like seven eight

986
00:49:21,120 --> 00:49:22,960
Speaker 1: questions because someone's got to cook dinner, they got to

987
00:49:22,960 --> 00:49:24,120
Speaker 1: go take care of the kids, they got to do

988
00:49:24,200 --> 00:49:26,880
Speaker 1: they got to go to work. They're not answering eighty questions.

989
00:49:26,960 --> 00:49:29,640
Speaker 1: So you can kind of see the participation rates by

990
00:49:29,719 --> 00:49:31,719
Speaker 1: how many questions are asked of whether or not it

991
00:49:32,400 --> 00:49:35,920
Speaker 1: has a likelihood have a high voter bias. How do

992
00:49:35,960 --> 00:49:38,520
Speaker 1: you get your voice across answer one poll? I mean,

993
00:49:39,080 --> 00:49:41,520
Speaker 1: that's basically it. You probably will get polled at least

994
00:49:41,560 --> 00:49:44,080
Speaker 1: one point. You can't ask the polster like, oh, please,

995
00:49:44,560 --> 00:49:48,520
Speaker 1: please reach out to me, but if you answer once,

996
00:49:48,560 --> 00:49:50,879
Speaker 1: you'll more than likely be asked again. I can ask

997
00:49:50,920 --> 00:49:53,440
Speaker 1: pretty frequently to answer a poll because they know I

998
00:49:53,520 --> 00:49:57,680
Speaker 1: answer them. But I'm the wrong person because I love politics.

999
00:49:57,680 --> 00:49:58,400
Speaker 1: I'm too involved.

1000
00:49:58,640 --> 00:49:59,520
Speaker 2: You need people who.

1001
00:49:59,480 --> 00:50:02,720
Speaker 1: Are not so in love to be more representative. Anyway,

1002
00:50:02,719 --> 00:50:04,239
Speaker 1: that's a great question. Thank you to my friend who

1003
00:50:04,280 --> 00:50:07,560
Speaker 1: asked a question. Last question of the Paul today comes

1004
00:50:07,600 --> 00:50:11,200
Speaker 1: from John from Connecticut. He writes, Ryan great podcasts. I

1005
00:50:11,280 --> 00:50:14,040
Speaker 1: know you favorite jdvans, but what is Disanta's path to

1006
00:50:14,120 --> 00:50:17,319
Speaker 1: the presidency if you are gaming it out? He can't

1007
00:50:17,360 --> 00:50:19,920
Speaker 1: wait eight years of JD? Does he need the economy

1008
00:50:19,960 --> 00:50:22,840
Speaker 1: to crash or what other considerations are at play?

1009
00:50:23,040 --> 00:50:23,440
Speaker 2: Okay?

1010
00:50:23,920 --> 00:50:27,560
Speaker 1: I like both JD and Dessanta's. I think Desanda has

1011
00:50:27,600 --> 00:50:29,000
Speaker 1: been a great governor JD.

1012
00:50:29,120 --> 00:50:29,759
Speaker 2: I worked for him.

1013
00:50:29,800 --> 00:50:31,960
Speaker 1: I'm a big fan of what he does publicly, so

1014
00:50:31,960 --> 00:50:36,959
Speaker 1: I'm not you know, I'm not besmirching one or the other.

1015
00:50:37,560 --> 00:50:40,239
Speaker 1: They're two totally different types of animals. And I met

1016
00:50:40,800 --> 00:50:42,880
Speaker 1: It's very well known because I wrote about it because

1017
00:50:43,000 --> 00:50:45,480
Speaker 1: it was being leaked about. But I met with Dessanta's

1018
00:50:45,520 --> 00:50:47,080
Speaker 1: to try to talk to about the twenty twenty four

1019
00:50:47,160 --> 00:50:56,560
Speaker 1: election primary. And this is Desanta's problem one. The policies

1020
00:50:56,560 --> 00:50:59,560
Speaker 1: are there, but the vibes aren't. He's got to loose

1021
00:50:59,560 --> 00:51:01,120
Speaker 1: a lot more. And I sat talking about music the

1022
00:51:01,120 --> 00:51:02,480
Speaker 1: other day, but it was kind of stiff what he

1023
00:51:02,560 --> 00:51:05,879
Speaker 1: was saying. He needs to show more that he's a dad.

1024
00:51:06,040 --> 00:51:08,000
Speaker 1: He needs to show more that he is a person.

1025
00:51:08,160 --> 00:51:11,640
Speaker 1: He needs to show less about policy. He needs to

1026
00:51:11,680 --> 00:51:14,800
Speaker 1: build his social media following. That's like more friendly towards

1027
00:51:14,800 --> 00:51:16,680
Speaker 1: like who he is as a person. I mean, that's

1028
00:51:16,719 --> 00:51:19,319
Speaker 1: a four year job right there, and I don't know

1029
00:51:19,320 --> 00:51:21,480
Speaker 1: if he's even comfortable doing that. Like I told when

1030
00:51:21,480 --> 00:51:23,680
Speaker 1: I talked to the Sandas, I said to him, you

1031
00:51:23,760 --> 00:51:26,560
Speaker 1: need to bring up the fact that if he for

1032
00:51:26,680 --> 00:51:29,760
Speaker 1: as good as a ballplayer as you were and as smart

1033
00:51:29,760 --> 00:51:32,680
Speaker 1: as you are, you would have not likely gotten to

1034
00:51:32,920 --> 00:51:35,480
Speaker 1: Yale if you were born twenty years apart because you're

1035
00:51:35,520 --> 00:51:37,840
Speaker 1: a white man and they're discriminated against. And he wouldn't

1036
00:51:37,920 --> 00:51:40,000
Speaker 1: bring that up. And I know people brought up to

1037
00:51:40,040 --> 00:51:42,399
Speaker 1: him afterwards and he would not bring that part up.

1038
00:51:44,320 --> 00:51:47,200
Speaker 1: So he'd have to tactically move to the right in

1039
00:51:47,440 --> 00:51:50,040
Speaker 1: uncomfortable conversations that I don't think that he's been willing

1040
00:51:50,080 --> 00:51:52,360
Speaker 1: to have. He needs to show more of his personal side.

1041
00:51:54,440 --> 00:51:59,239
Speaker 1: But look, unless Jad really says something wild and out there,

1042
00:51:59,360 --> 00:52:02,839
Speaker 1: or Trump and horses against him, I don't think there's

1043
00:52:02,880 --> 00:52:05,080
Speaker 1: anyone who could beat him. And I'm just being frank.

1044
00:52:05,160 --> 00:52:07,680
Speaker 1: I don't even know how to game it out because

1045
00:52:08,880 --> 00:52:11,800
Speaker 1: it just I just don't see how that's I just

1046
00:52:11,840 --> 00:52:15,120
Speaker 1: don't see the path. There's only been one vice president

1047
00:52:15,120 --> 00:52:17,879
Speaker 1: who's ever ran for the party's nomination and lost it

1048
00:52:17,960 --> 00:52:20,200
Speaker 1: in any sort of living memory, and it was Mike

1049
00:52:20,239 --> 00:52:22,360
Speaker 1: Pence and it's only because he ran against Donald Trump.

1050
00:52:24,400 --> 00:52:27,040
Speaker 2: Yeah, I don't know.

1051
00:52:27,239 --> 00:52:29,560
Speaker 1: I think doing what I advised to Santas to do

1052
00:52:29,640 --> 00:52:31,680
Speaker 1: would help him overall long term if he wanted to

1053
00:52:31,680 --> 00:52:33,239
Speaker 1: be a senator, which I don't think he wants to be,

1054
00:52:33,320 --> 00:52:35,799
Speaker 1: or do something else, or prepare for a run at

1055
00:52:35,800 --> 00:52:41,560
Speaker 1: some point, but it's very difficult to unsee the party's

1056
00:52:41,640 --> 00:52:44,359
Speaker 1: nominee also talk less about Florida. I was, I told

1057
00:52:44,400 --> 00:52:47,440
Speaker 1: it to Santa's, like, no one like the whole country

1058
00:52:47,480 --> 00:52:49,480
Speaker 1: is in Florida. I know you guys love it down

1059
00:52:49,520 --> 00:52:51,560
Speaker 1: there and you think you're your own country, but it's

1060
00:52:52,400 --> 00:52:54,680
Speaker 1: it's not the whole country like some people do want

1061
00:52:54,680 --> 00:52:56,879
Speaker 1: to live in Michigan. So like, I mean, you got

1062
00:52:56,920 --> 00:52:59,200
Speaker 1: to talk about bigger things than that. Anyway, I like

1063
00:52:59,239 --> 00:53:01,719
Speaker 1: Desanta's I'm not I'm not crapping on him, and I

1064
00:53:01,760 --> 00:53:03,719
Speaker 1: you know, I'm I'm a big fan of JD. But

1065
00:53:03,760 --> 00:53:06,120
Speaker 1: that's what I would best advise. I guess if I

1066
00:53:06,200 --> 00:53:09,080
Speaker 1: was going to take on climbing that adverse, which is that?

1067
00:53:09,520 --> 00:53:11,280
Speaker 2: So anyway, thank you guys for listening. To this podcast.

1068
00:53:11,360 --> 00:53:13,440
Speaker 1: If you like this podcast, please like and subscribe on

1069
00:53:13,480 --> 00:53:16,480
Speaker 1: the iHeartRadio app, Apple Podcasts, wherever you get your podcasts,

1070
00:53:16,480 --> 00:53:20,040
Speaker 1: and I will talk to you guys on Thursday. Thank you,