1
00:00:03,680 --> 00:00:06,320
Speaker 1: Welcome back to a numbers game with Ryan Gradowsky. I'm

2
00:00:06,400 --> 00:00:08,920
Speaker 1: here again, Happy Monday. I hope you all had a

3
00:00:08,920 --> 00:00:11,920
Speaker 1: great weekend back at it, and I know it is

4
00:00:11,960 --> 00:00:14,080
Speaker 1: the dead of summer, so thank you for being here.

5
00:00:14,240 --> 00:00:17,880
Speaker 1: In talking about politics, last week was a busy week.

6
00:00:17,920 --> 00:00:21,080
Speaker 1: There was obviously a lot of news with Iran and Israel,

7
00:00:21,280 --> 00:00:23,480
Speaker 1: and it was kind of whiplash following it all. It's

8
00:00:23,560 --> 00:00:27,680
Speaker 1: very difficult when you're hearing international news, trying to understand

9
00:00:27,680 --> 00:00:30,280
Speaker 1: who to believe, which side you get all the information from,

10
00:00:30,320 --> 00:00:33,720
Speaker 1: and seeing clips online some of its Ai generated some

11
00:00:33,720 --> 00:00:37,479
Speaker 1: of his old video, so that's been kind of wild

12
00:00:37,520 --> 00:00:40,040
Speaker 1: to watch. Trump and Tucker even kind of got into it.

13
00:00:40,600 --> 00:00:44,519
Speaker 1: Trump called Tucker a kook on truth social after Tucker

14
00:00:44,520 --> 00:00:48,280
Speaker 1: did an introdut Steve Bannon about Iran, which I thought

15
00:00:48,320 --> 00:00:51,720
Speaker 1: was something I didn't expect to happen. I don't have

16
00:00:51,800 --> 00:00:54,880
Speaker 1: that many insights into the Middle East, and I'm not

17
00:00:55,000 --> 00:00:58,520
Speaker 1: going to do an episode on the Israel stuff. It's

18
00:00:58,640 --> 00:01:02,600
Speaker 1: just I don't have a lot of one deep felt

19
00:01:02,640 --> 00:01:07,600
Speaker 1: opinions aside from kind of bland, generic ones, and there's

20
00:01:07,720 --> 00:01:09,959
Speaker 1: just it's just not it's not for me, and it's

21
00:01:09,959 --> 00:01:12,520
Speaker 1: not what I'm planned doing this podcast on. But I

22
00:01:12,560 --> 00:01:15,200
Speaker 1: do have a good story about Tucker Carlson that I

23
00:01:15,240 --> 00:01:17,120
Speaker 1: would like to share with the listeners because I think

24
00:01:17,120 --> 00:01:19,360
Speaker 1: you guys would like it. I did Tucker's show when

25
00:01:19,360 --> 00:01:23,200
Speaker 1: he was on Fox like six times and when you

26
00:01:23,360 --> 00:01:25,000
Speaker 1: did it, because he did it out of his studio

27
00:01:25,040 --> 00:01:28,679
Speaker 1: in Maine and of his house, so he wasn't like

28
00:01:29,000 --> 00:01:30,880
Speaker 1: I was never in a room with him. I think

29
00:01:30,920 --> 00:01:32,640
Speaker 1: he moved to me, like after the first year when

30
00:01:32,640 --> 00:01:35,120
Speaker 1: there were protesters at his house in DC. This is

31
00:01:35,160 --> 00:01:38,000
Speaker 1: not hidden information, by the way, this is well reported.

32
00:01:38,360 --> 00:01:40,840
Speaker 1: So you would go. I would go to a satellite

33
00:01:40,880 --> 00:01:44,080
Speaker 1: location and sit in a black room by myself and

34
00:01:44,360 --> 00:01:46,200
Speaker 1: tape with just you know, a camera. They were not

35
00:01:46,240 --> 00:01:49,200
Speaker 1: even a camera guy, just me in a camera. And

36
00:01:51,680 --> 00:01:54,240
Speaker 1: there was complete silence on my end until the segment

37
00:01:54,280 --> 00:01:57,320
Speaker 1: started because they would do whatever they needed to do.

38
00:01:57,360 --> 00:02:00,680
Speaker 1: And that's how guests we're working with anyway, So the

39
00:02:00,720 --> 00:02:02,680
Speaker 1: whole time you were there, I'm a note taker. I

40
00:02:02,880 --> 00:02:05,840
Speaker 1: take tons of notes. If you couldn'tell him this podcast,

41
00:02:06,440 --> 00:02:09,839
Speaker 1: and I'm sitting here in complete silence. And then one

42
00:02:09,880 --> 00:02:15,440
Speaker 1: time I started to hear Tucker's side of the broadcast

43
00:02:15,480 --> 00:02:17,560
Speaker 1: and what was going on, I guess with his EPs

44
00:02:17,600 --> 00:02:22,400
Speaker 1: and his producers and whatnot. And they were blasting Willie

45
00:02:22,480 --> 00:02:26,160
Speaker 1: Nelson's Roll Me Up and Smoking When I Die, and

46
00:02:26,600 --> 00:02:31,919
Speaker 1: Tucker's like singing along. That's all I could hear as

47
00:02:31,919 --> 00:02:35,200
Speaker 1: I'm trying to remember what I'm gonna talk about, and

48
00:02:35,240 --> 00:02:38,320
Speaker 1: he's like singing, and he goes, let's go, and then

49
00:02:38,639 --> 00:02:41,320
Speaker 1: they go right on air like there was no like previews,

50
00:02:41,360 --> 00:02:45,200
Speaker 1: so you know, Tucker introduces me twenty seconds to that.

51
00:02:45,440 --> 00:02:48,239
Speaker 1: All I could hear in my head was him singing

52
00:02:48,320 --> 00:02:51,200
Speaker 1: roll Me Up and Smoking when I Die. Really funny anyway,

53
00:02:51,320 --> 00:02:53,440
Speaker 1: total side note, nothing to do with Israel, but just

54
00:02:53,440 --> 00:02:56,880
Speaker 1: a funny story anyway. This week also there is the

55
00:02:57,440 --> 00:03:00,880
Speaker 1: upcoming New York City Democratic primary for them mayor of

56
00:03:00,960 --> 00:03:04,480
Speaker 1: the city. It's tomorrow is the primary, June twenty fourth.

57
00:03:04,560 --> 00:03:08,359
Speaker 1: Early voting has started last week. The numbers coming out

58
00:03:08,400 --> 00:03:12,960
Speaker 1: of the Burroughs for who's showing up look very good

59
00:03:13,000 --> 00:03:18,160
Speaker 1: for socialist Zoran Mandini. Mendini. I know, I just butchered

60
00:03:18,160 --> 00:03:20,440
Speaker 1: that name, but don't worry about it. He's a socialist

61
00:03:20,440 --> 00:03:23,639
Speaker 1: all you have to remember. But I saw some private

62
00:03:23,720 --> 00:03:27,160
Speaker 1: democratic polling and they do believe that Andrew Cuomo got

63
00:03:27,160 --> 00:03:29,320
Speaker 1: former Governor Andrew Cuomo is going to pull this out

64
00:03:29,360 --> 00:03:33,120
Speaker 1: with a decent double digit margin. New York has the

65
00:03:33,280 --> 00:03:35,640
Speaker 1: ranked choice voting, which is the stupidest way to do

66
00:03:35,680 --> 00:03:38,080
Speaker 1: an election. Only someone with a PhD and political science

67
00:03:38,120 --> 00:03:40,320
Speaker 1: could think of that. So we won't know who's the

68
00:03:40,400 --> 00:03:42,920
Speaker 1: winner probably on election night. Will probably have to wait

69
00:03:42,960 --> 00:03:45,160
Speaker 1: several days while they rank them all and count all

70
00:03:45,160 --> 00:03:48,120
Speaker 1: the votes. But I've heard from Democrats they do feel

71
00:03:48,160 --> 00:03:50,400
Speaker 1: like Kuoma is going to pull it out, which if

72
00:03:50,400 --> 00:03:53,800
Speaker 1: he does, we'll see if the Working Family Party endorses

73
00:03:53,840 --> 00:03:56,960
Speaker 1: the Socialist and it is a four Democrat to one

74
00:03:57,000 --> 00:03:59,080
Speaker 1: Republican race, which is very possible.

75
00:04:00,000 --> 00:04:00,200
Speaker 2: Okay.

76
00:04:00,640 --> 00:04:03,440
Speaker 1: Lastly, and most consequentially though, for this podcast, what I

77
00:04:03,480 --> 00:04:06,400
Speaker 1: want to talk to listeners about was President Trump's many

78
00:04:06,520 --> 00:04:09,720
Speaker 1: different takes on immigration enforcement. So we all know that

79
00:04:09,760 --> 00:04:14,240
Speaker 1: immigration restriction was a centerpiece of Trump's two successful presidential campaigns.

80
00:04:14,240 --> 00:04:16,400
Speaker 1: In twenty sixteen, it was build the Wall that was

81
00:04:16,440 --> 00:04:18,840
Speaker 1: his rally and cry, and in twenty twenty four it

82
00:04:18,880 --> 00:04:22,119
Speaker 1: was mass deportations. You could see signs at the RNC

83
00:04:22,320 --> 00:04:26,039
Speaker 1: people waving saying mass deportations was a very proud logo,

84
00:04:26,080 --> 00:04:29,440
Speaker 1: there was no hidden agenda around it. The only campaign

85
00:04:29,520 --> 00:04:33,120
Speaker 1: that he didn't really emphasize immigration enforcement was in twenty twenty,

86
00:04:33,520 --> 00:04:36,120
Speaker 1: allegedly at the advice of his son in law, Jared Kushner.

87
00:04:36,680 --> 00:04:39,280
Speaker 1: Trump also put out a white paper in twenty sixteen

88
00:04:39,279 --> 00:04:40,960
Speaker 1: where he said he would do all these things on

89
00:04:41,320 --> 00:04:44,800
Speaker 1: legal immigration to reduce the numbers. When he first became president,

90
00:04:45,040 --> 00:04:48,480
Speaker 1: he actually supported a bill from Senator Tom Cotton called

91
00:04:48,520 --> 00:04:51,480
Speaker 1: the Rays Act, which would have created a point system

92
00:04:52,040 --> 00:04:54,880
Speaker 1: people would have allowed been allowed entering into our country

93
00:04:55,240 --> 00:04:57,160
Speaker 1: based on how many points they ranked up if they

94
00:04:57,200 --> 00:04:59,240
Speaker 1: spoke English, if they had a college degree, if they

95
00:04:59,240 --> 00:05:01,919
Speaker 1: had skills, if they had money, and it would have

96
00:05:01,960 --> 00:05:05,400
Speaker 1: cut legal immigration by fifty percent. It never got passed

97
00:05:05,400 --> 00:05:07,839
Speaker 1: into law, but Trump actually supported it when it first

98
00:05:07,839 --> 00:05:11,600
Speaker 1: came out in twenty seventeen. Now, most of those promises

99
00:05:11,640 --> 00:05:16,320
Speaker 1: on legal immigration never kept right. He just never kind

100
00:05:16,320 --> 00:05:18,039
Speaker 1: of kept them, and they kind of were sidelined by

101
00:05:18,080 --> 00:05:20,400
Speaker 1: a lot of people in the ADMIN who were big

102
00:05:20,400 --> 00:05:23,680
Speaker 1: supporters of mass legal immigration. It wasn't all of Trump's fault,

103
00:05:23,720 --> 00:05:28,360
Speaker 1: but it happened right before COVID and actually legal immigration

104
00:05:28,440 --> 00:05:33,440
Speaker 1: started taking up. Throughout Trump's term, there was intense pressure

105
00:05:33,440 --> 00:05:36,720
Speaker 1: from corporate donors and from the Republican business class. When

106
00:05:36,760 --> 00:05:40,120
Speaker 1: he announced his run in twenty twenty four. President Trump

107
00:05:40,200 --> 00:05:42,160
Speaker 1: really did back away from a lot of the earlier

108
00:05:42,200 --> 00:05:45,160
Speaker 1: stuff he made in twenty sixteen about reducing legal immigration,

109
00:05:45,320 --> 00:05:48,520
Speaker 1: but mass deportition was still the center theme. He was

110
00:05:48,760 --> 00:05:52,160
Speaker 1: very much holding on to that campaign promise. And as

111
00:05:52,200 --> 00:05:55,480
Speaker 1: someone who was a day one twenty sixteen, twenty fifteen,

112
00:05:55,520 --> 00:05:58,039
Speaker 1: whatever it was, Trump's supporter, which was actually ten years

113
00:05:58,080 --> 00:06:01,480
Speaker 1: ago from last week, I was very skeptical that he

114
00:06:01,520 --> 00:06:05,080
Speaker 1: would keep the promises the second time that he won

115
00:06:05,160 --> 00:06:07,240
Speaker 1: successfully in twenty twenty four, the third time he ran,

116
00:06:07,600 --> 00:06:10,800
Speaker 1: I was very skeptical he would keep those promises because

117
00:06:10,800 --> 00:06:12,680
Speaker 1: he had walked away from so many of the legal

118
00:06:12,720 --> 00:06:16,920
Speaker 1: immigration stuff in twenty sixteen. And I'm happy to sit

119
00:06:16,960 --> 00:06:19,799
Speaker 1: there and say I was wrong, you know. And actually

120
00:06:20,279 --> 00:06:23,400
Speaker 1: the reason I took the meeting, even with the Desanta's

121
00:06:23,480 --> 00:06:26,560
Speaker 1: influencers in twenty twenty four was because I was so skeptical.

122
00:06:26,600 --> 00:06:29,039
Speaker 1: But I'm happy that I was wrong. So here we

123
00:06:29,080 --> 00:06:32,280
Speaker 1: are six months into President Trump's second term.

124
00:06:32,640 --> 00:06:33,039
Speaker 2: And.

125
00:06:34,480 --> 00:06:39,719
Speaker 1: Legal illegal immigration is down substantially. Right, he has completely

126
00:06:39,760 --> 00:06:43,160
Speaker 1: kept his promises. On enforcing the border. There's essentially no

127
00:06:43,360 --> 00:06:47,680
Speaker 1: border crossings. From February to April twenty twenty five, there

128
00:06:47,680 --> 00:06:52,159
Speaker 1: were thirty five thousand illegal alien encounters at our southern border.

129
00:06:52,839 --> 00:06:56,919
Speaker 1: That's down from five hundred and fifty nine thousand during

130
00:06:56,920 --> 00:07:00,960
Speaker 1: the same three month period the year prior under President Biden.

131
00:07:01,120 --> 00:07:04,040
Speaker 1: So from five hundred and fifty nine thousand to thirty

132
00:07:04,040 --> 00:07:08,240
Speaker 1: five thousand, that's almost a complete shutdown. And ICE has

133
00:07:08,279 --> 00:07:11,800
Speaker 1: done a really incredible job at increasing their capacity to

134
00:07:11,840 --> 00:07:16,280
Speaker 1: do interior apprehensions. The most recent ICE detention data shows

135
00:07:16,280 --> 00:07:18,880
Speaker 1: that the average number of people held is up twenty

136
00:07:19,000 --> 00:07:22,760
Speaker 1: five percent since President Trump took office. You might have

137
00:07:22,880 --> 00:07:25,000
Speaker 1: heard there's a trope coming out of the media that

138
00:07:25,240 --> 00:07:29,200
Speaker 1: President Trump is deporting less people than President Biden or

139
00:07:29,240 --> 00:07:33,480
Speaker 1: President Obama. That is really just based on how President

140
00:07:33,560 --> 00:07:37,600
Speaker 1: Biden and President Obama cooked the numbers, because what they

141
00:07:37,640 --> 00:07:40,480
Speaker 1: were doing where they were counting everyone arrested by CBP,

142
00:07:40,720 --> 00:07:43,760
Speaker 1: that's the Border Patrol agents who were being turned back

143
00:07:43,800 --> 00:07:47,640
Speaker 1: at the border as deportations, even though they were never

144
00:07:47,680 --> 00:07:52,440
Speaker 1: in the interior of the country. So President Trump's apprehensions

145
00:07:52,480 --> 00:07:55,760
Speaker 1: and deportations are coming from within the country. People who've

146
00:07:55,760 --> 00:07:58,280
Speaker 1: been living here rather than people who just come to

147
00:07:58,320 --> 00:08:01,480
Speaker 1: the border and are turned away, which President Biden wasn't

148
00:08:01,480 --> 00:08:03,760
Speaker 1: really doing a lot of that anyway, at the advice

149
00:08:03,800 --> 00:08:07,280
Speaker 1: of Ron Klain, So Ron claim was his advisor, who

150
00:08:07,280 --> 00:08:10,200
Speaker 1: was very liberal and immigration anyway. So now let's talk

151
00:08:10,200 --> 00:08:14,120
Speaker 1: about mass deportation. That's another story entirely. In the first

152
00:08:14,120 --> 00:08:17,200
Speaker 1: one hundred days in office, I sufficially report that there

153
00:08:17,200 --> 00:08:21,200
Speaker 1: were about sixty five thousand illegal aliens removed from our country.

154
00:08:21,760 --> 00:08:25,320
Speaker 1: While there's been no official update since that one hundred days,

155
00:08:25,760 --> 00:08:28,840
Speaker 1: the estimates coming out of people in the know and

156
00:08:28,920 --> 00:08:32,400
Speaker 1: the administration, though not in ICE specifically, say that it's

157
00:08:32,440 --> 00:08:35,440
Speaker 1: been one hundred and forty thousand to two hundred and

158
00:08:35,559 --> 00:08:39,400
Speaker 1: seven thousand total deportation in the six months. We'll have

159
00:08:39,440 --> 00:08:42,720
Speaker 1: to wait till ICE gives them gives an official number

160
00:08:43,080 --> 00:08:47,760
Speaker 1: whenever they update their numbers periodically to find the exact amount,

161
00:08:47,800 --> 00:08:50,320
Speaker 1: but one hundred and forty thousand, two hundred and seven

162
00:08:50,320 --> 00:08:53,760
Speaker 1: thousand is our best estimate. There's a question also a

163
00:08:53,960 --> 00:08:57,400
Speaker 1: self deportation, the number of people choosing to leave the

164
00:08:57,440 --> 00:09:00,720
Speaker 1: country on their own devices because they don't want to

165
00:09:00,720 --> 00:09:04,800
Speaker 1: be arrested and deported. President Trump's administration is actually offering

166
00:09:04,840 --> 00:09:08,520
Speaker 1: to pay illegals one thousand dollars plus a free flight

167
00:09:08,520 --> 00:09:10,880
Speaker 1: out of the country if they leave without having to

168
00:09:10,880 --> 00:09:13,600
Speaker 1: go through the rigmarole of a cord and an arrest

169
00:09:13,640 --> 00:09:15,800
Speaker 1: and all the rest of it. And several thousand have

170
00:09:15,920 --> 00:09:19,079
Speaker 1: taken the administration up on their offer. A story from

171
00:09:19,080 --> 00:09:21,360
Speaker 1: the Wall Street Journal that's gone viral over the last

172
00:09:21,400 --> 00:09:24,520
Speaker 1: few days is that data released alongside the recent job

173
00:09:24,559 --> 00:09:27,240
Speaker 1: report from the Labor Department show that the number of

174
00:09:27,320 --> 00:09:30,800
Speaker 1: form born people either working or looking for work fell

175
00:09:30,920 --> 00:09:34,959
Speaker 1: by one million from March to April. That's the biggest

176
00:09:35,000 --> 00:09:37,800
Speaker 1: two month decline in form born labor force since the

177
00:09:37,840 --> 00:09:41,760
Speaker 1: early days of the pandemic. It's unclear if they are

178
00:09:41,880 --> 00:09:44,920
Speaker 1: leaving the country or just leaving the workforce because they're

179
00:09:44,960 --> 00:09:49,120
Speaker 1: afraid of being arrested and deported. A resource that I

180
00:09:49,240 --> 00:09:53,240
Speaker 1: have started to use to look at if there's indications

181
00:09:53,280 --> 00:09:57,280
Speaker 1: of self deportations by different groups is the CDC Wonder

182
00:09:57,360 --> 00:10:02,840
Speaker 1: Fertility Data. Okay, let me explain. Back in twenty ten,

183
00:10:03,080 --> 00:10:06,240
Speaker 1: there was a law that Arizona pass called SB ten seventy,

184
00:10:06,280 --> 00:10:10,080
Speaker 1: which would allow local law enforcement to ask people for

185
00:10:10,200 --> 00:10:13,680
Speaker 1: proof of citizenship during routine encounters like traffic stops that

186
00:10:13,720 --> 00:10:16,520
Speaker 1: they suspected the person was not legally in the country.

187
00:10:17,320 --> 00:10:22,000
Speaker 1: And what happened was when the Arizona Health Department updated

188
00:10:22,040 --> 00:10:26,680
Speaker 1: their birth data year and year, year by year, there

189
00:10:26,760 --> 00:10:30,080
Speaker 1: was a five percent decline in the number of children

190
00:10:30,160 --> 00:10:33,360
Speaker 1: being born to Hispanic women in the state from twenty

191
00:10:33,480 --> 00:10:36,079
Speaker 1: from two thousand and eight to twenty twelve. Because remember

192
00:10:36,160 --> 00:10:40,599
Speaker 1: signed twenty ten, the number dropped by a while fourteen

193
00:10:40,920 --> 00:10:46,000
Speaker 1: percent fewer children being born by Hispanic women. Hispanic women

194
00:10:46,040 --> 00:10:49,000
Speaker 1: went from having three thousand more children than white women

195
00:10:49,040 --> 00:10:52,640
Speaker 1: in the state to five thousand, five hundred fewer. That's

196
00:10:52,720 --> 00:10:54,760
Speaker 1: because they were self supporting from the state. They were

197
00:10:54,880 --> 00:10:58,319
Speaker 1: leaving the state in order not to be asked when

198
00:10:58,320 --> 00:11:01,160
Speaker 1: they were driving to a stop line or whatever if

199
00:11:01,160 --> 00:11:03,760
Speaker 1: they were legally in the country. Illegal aliens were not,

200
00:11:04,000 --> 00:11:07,800
Speaker 1: you know, not just your regular legal Hispanic American, but

201
00:11:07,880 --> 00:11:10,800
Speaker 1: illegal aliens were leaving. And they didn't necessarily all go

202
00:11:10,840 --> 00:11:13,640
Speaker 1: to Mexico, but or or wherever their native country was.

203
00:11:13,640 --> 00:11:16,240
Speaker 1: A lot went to California or Nevada or New Mexico,

204
00:11:16,559 --> 00:11:21,559
Speaker 1: states with looser immigration laws, but they did leave Arizona.

205
00:11:21,720 --> 00:11:25,679
Speaker 1: So what does the CDC wonder early data say about

206
00:11:25,679 --> 00:11:28,400
Speaker 1: the country as a whole now that Trump is doing

207
00:11:28,440 --> 00:11:31,760
Speaker 1: these strict immigration enforcement. I want to sit there and

208
00:11:31,800 --> 00:11:35,040
Speaker 1: note that there's this is the preliminary data that only

209
00:11:35,080 --> 00:11:37,720
Speaker 1: goes to April, so we're not but we're not getting

210
00:11:37,760 --> 00:11:40,719
Speaker 1: like the full number because they didn't include May and

211
00:11:40,800 --> 00:11:43,400
Speaker 1: June and that's when a lot of the immigration enforcement happened.

212
00:11:44,080 --> 00:11:47,720
Speaker 1: So March and April twenty twenty five compared to a

213
00:11:47,800 --> 00:11:50,920
Speaker 1: year ago, there's been about a one percent drop in

214
00:11:51,000 --> 00:11:54,680
Speaker 1: Asian births, and Hispanic birth rate is basically flat. There's

215
00:11:54,679 --> 00:11:58,880
Speaker 1: almost no change completely. Side note, birth rates among black

216
00:11:58,880 --> 00:12:02,000
Speaker 1: women drop substained at four percent, and birth rates among

217
00:12:02,000 --> 00:12:04,560
Speaker 1: white women who has dropped about one percent, which is

218
00:12:05,080 --> 00:12:07,880
Speaker 1: kind of normal considering there's less of people having kids.

219
00:12:08,000 --> 00:12:11,560
Speaker 1: But once again there's the Hispanic birth rate is flat.

220
00:12:12,120 --> 00:12:16,720
Speaker 1: So it's only two months, it's only early data. But

221
00:12:17,120 --> 00:12:21,400
Speaker 1: if there was a sign for mass deportation at a

222
00:12:21,559 --> 00:12:25,400
Speaker 1: million people, which is a substantial amount of people, you

223
00:12:25,440 --> 00:12:28,640
Speaker 1: would see something in the birth data, and it's not there.

224
00:12:29,120 --> 00:12:31,839
Speaker 1: So I kind of have my hesitancy towards whether or

225
00:12:31,880 --> 00:12:35,240
Speaker 1: not that million number is correct. Maybe it will, we'll

226
00:12:35,280 --> 00:12:37,120
Speaker 1: have to sit there and wait for more data to

227
00:12:37,160 --> 00:12:39,800
Speaker 1: come out in May and June. Maybe they will show

228
00:12:39,920 --> 00:12:44,920
Speaker 1: numbers that coincide with the million number coming out of

229
00:12:44,960 --> 00:12:49,960
Speaker 1: the Labor Department. This hasn't stopped researchers from believing that

230
00:12:50,000 --> 00:12:52,920
Speaker 1: we're about to see the first net decline in overall

231
00:12:52,960 --> 00:12:56,360
Speaker 1: immigration population for the first time in fifty years. According

232
00:12:56,360 --> 00:12:59,720
Speaker 1: to The Washington Post, two economists from the Brooklyn Institute,

233
00:12:59,720 --> 00:13:02,000
Speaker 1: which is liberal thing tank, and AI, which is a

234
00:13:02,000 --> 00:13:04,960
Speaker 1: conservative thing tank. They both kind of suck on immigration

235
00:13:05,120 --> 00:13:07,240
Speaker 1: as a side note, but they are coming out with

236
00:13:07,280 --> 00:13:10,360
Speaker 1: a paper this month staying that immigration is likely to

237
00:13:10,440 --> 00:13:13,600
Speaker 1: be in negative numbers for the first time in fifty

238
00:13:13,679 --> 00:13:16,720
Speaker 1: years and twenty twenty five, which leads us back to Trump.

239
00:13:17,520 --> 00:13:20,560
Speaker 1: Mass deportation was obviously on the menu when he became president.

240
00:13:21,000 --> 00:13:25,360
Speaker 1: Democrats seemed completely shocked that that means actually deporting people.

241
00:13:25,400 --> 00:13:27,920
Speaker 1: I think that they must thought of mean vibes or something.

242
00:13:27,960 --> 00:13:31,480
Speaker 1: But it actually is what he says it is, and

243
00:13:32,600 --> 00:13:36,720
Speaker 1: he was really carrying that vision out him and his

244
00:13:36,760 --> 00:13:40,600
Speaker 1: advisors and Steven Miller and everything until last week when

245
00:13:40,640 --> 00:13:43,200
Speaker 1: out of nowhere, President Trump, at the advice of his

246
00:13:43,240 --> 00:13:47,720
Speaker 1: Agriculture secretary Brook Rollins, a former close ally of Jared Kushner's,

247
00:13:48,120 --> 00:13:51,120
Speaker 1: announced that they would no longer be doing immigration enforcement

248
00:13:51,200 --> 00:13:55,800
Speaker 1: in farms, restaurants, and hotels. It was this abrupt turn

249
00:13:55,880 --> 00:13:58,160
Speaker 1: of events that led to a bit of a backlash

250
00:13:58,160 --> 00:14:02,040
Speaker 1: amongst some conservatives. All progress was being made on the

251
00:14:02,040 --> 00:14:06,240
Speaker 1: side of the American worker even in those industries. Meatpacking

252
00:14:06,320 --> 00:14:09,600
Speaker 1: giant JBS signed a new labor contract with the Commercial

253
00:14:09,640 --> 00:14:14,280
Speaker 1: Workers International Union for higher wages, better safety standards, and

254
00:14:14,320 --> 00:14:17,520
Speaker 1: paid sickly. It was the first time in forty years

255
00:14:17,559 --> 00:14:20,000
Speaker 1: that this meat packing giant chose to just that they're

256
00:14:20,040 --> 00:14:23,880
Speaker 1: in doing improved wages and safety standards, and it was

257
00:14:23,920 --> 00:14:28,000
Speaker 1: because they didn't have an endless stream of illegal aliens

258
00:14:28,040 --> 00:14:32,120
Speaker 1: crossing the border like they had under previous administrations. After

259
00:14:32,160 --> 00:14:35,600
Speaker 1: receiving initial pushback from conservatives, Brooke Rollins came out with

260
00:14:35,600 --> 00:14:38,640
Speaker 1: a Twitter post which was very much like, these allegations

261
00:14:38,640 --> 00:14:40,640
Speaker 1: against me are not true, but it's good that it's

262
00:14:40,680 --> 00:14:43,800
Speaker 1: happening that we're not doing this enforcement very much kind

263
00:14:43,800 --> 00:14:47,720
Speaker 1: of showing her face. Remember she has spent a decade

264
00:14:47,880 --> 00:14:51,520
Speaker 1: on record supporting amnesty for illegal aliens and jail break

265
00:14:51,560 --> 00:14:56,200
Speaker 1: for criminals, and definitely more one of more liberal people

266
00:14:56,240 --> 00:14:59,760
Speaker 1: in Trump's orbit, so it wouldn't be surprising to anybody

267
00:14:59,800 --> 00:15:02,480
Speaker 1: who knows people in the administration that she was doing

268
00:15:02,520 --> 00:15:05,560
Speaker 1: this to begin with. President Trump came out with a

269
00:15:05,600 --> 00:15:08,920
Speaker 1: truth social post quickly after she made those comments, stating

270
00:15:08,960 --> 00:15:12,960
Speaker 1: that he was going to continue deportations, but only in

271
00:15:13,080 --> 00:15:16,200
Speaker 1: blue states, as if millions of illegal aliens don't live

272
00:15:16,240 --> 00:15:20,200
Speaker 1: in Georgia, Florida, Texas, and Arizona. Then within twenty four

273
00:15:20,200 --> 00:15:22,440
Speaker 1: hours of that truth social post, a story from the

274
00:15:22,560 --> 00:15:25,560
Speaker 1: Washington Post broke, where the Department of Home and Security

275
00:15:25,600 --> 00:15:28,080
Speaker 1: announced to its depth they were reversed in the guidelines

276
00:15:28,120 --> 00:15:32,160
Speaker 1: again and continuing mass deportations at farms, hotels, and restaurants.

277
00:15:32,560 --> 00:15:35,200
Speaker 1: The Post suggested that Stephen Miller was behind the reversal

278
00:15:35,240 --> 00:15:39,400
Speaker 1: of the earlier decision, which good for Stephen, But what

279
00:15:39,520 --> 00:15:42,960
Speaker 1: about farms and endless stories about rotting fruit? You may ask,

280
00:15:43,000 --> 00:15:45,720
Speaker 1: what about these need to have an endless supply of

281
00:15:45,800 --> 00:15:50,000
Speaker 1: illegal aliens, which they always say whenever you have any

282
00:15:50,120 --> 00:15:54,760
Speaker 1: pushback against illegal aliens at farms, Well, farmers can apply

283
00:15:54,840 --> 00:15:57,560
Speaker 1: for an H two A visa, that is the farm

284
00:15:57,560 --> 00:16:01,000
Speaker 1: worker visa. We issue more than three one hundred thousand

285
00:16:01,480 --> 00:16:04,840
Speaker 1: h twoa VSAs per year. But here's the thing. If

286
00:16:04,880 --> 00:16:08,080
Speaker 1: you apply the legal way, farmers have to ensure that

287
00:16:08,080 --> 00:16:11,760
Speaker 1: they're not affecting American workers, that they're paying prevailing wages,

288
00:16:12,000 --> 00:16:16,360
Speaker 1: and they're offering housing and transportation. With illegal immigration, they

289
00:16:16,360 --> 00:16:18,320
Speaker 1: don't have to do any of that. They can pass

290
00:16:18,440 --> 00:16:21,720
Speaker 1: any costs over to taxpayers who get sit there in

291
00:16:21,800 --> 00:16:24,160
Speaker 1: fund illegal aliens when they go to the hospitals when

292
00:16:24,160 --> 00:16:27,080
Speaker 1: they need when if they have children here, the children

293
00:16:27,200 --> 00:16:30,080
Speaker 1: qualify for SNAP and for all these food benefits, and

294
00:16:30,120 --> 00:16:33,040
Speaker 1: for public housing and all the rest of it. Taxpayers

295
00:16:33,080 --> 00:16:38,400
Speaker 1: absorb the costs for big agriculture. Immigration enforcement is at

296
00:16:38,440 --> 00:16:41,120
Speaker 1: the root of the Trump movement and by the way,

297
00:16:41,240 --> 00:16:44,040
Speaker 1: most nationalist movements across the entire world, not just talking

298
00:16:44,040 --> 00:16:47,360
Speaker 1: about Europe, but in Asia and Latin America and Africa.

299
00:16:47,960 --> 00:16:52,480
Speaker 1: Immigration is the root cause of nationalist movements across the

300
00:16:52,640 --> 00:16:58,400
Speaker 1: entire globe. The thing that established in politicians globalists establish

301
00:16:58,480 --> 00:17:02,400
Speaker 1: political parties, the thing that they hate the most, which

302
00:17:02,440 --> 00:17:05,560
Speaker 1: is a populist movement they are responsible for because they

303
00:17:05,560 --> 00:17:09,960
Speaker 1: refuse to enforce immigration. That's the long and complete short

304
00:17:09,960 --> 00:17:11,720
Speaker 1: of it. With me this week is an expert on

305
00:17:11,760 --> 00:17:14,280
Speaker 1: immigration who's been writing about this for decades. He's been

306
00:17:14,320 --> 00:17:16,840
Speaker 1: doing it longer than I've been an adult. He knows

307
00:17:16,880 --> 00:17:19,160
Speaker 1: what's going on in the Trump administration, what they're doing right,

308
00:17:19,280 --> 00:17:21,200
Speaker 1: what they can improve on, and if we're ever going

309
00:17:21,240 --> 00:17:28,399
Speaker 1: to get real mass deportation. Stay tuned. Mark corn is

310
00:17:28,440 --> 00:17:30,240
Speaker 1: my guest this week. He is the executive director for

311
00:17:30,320 --> 00:17:33,320
Speaker 1: the Center for Immigration Studies, a fabulous nonprofit. I highly

312
00:17:33,359 --> 00:17:35,840
Speaker 1: recommend everyone checking out. Mark. Thank you for being here.

313
00:17:36,240 --> 00:17:37,000
Speaker 2: Glad to be here.

314
00:17:37,440 --> 00:17:37,720
Speaker 3: Mark.

315
00:17:37,960 --> 00:17:41,159
Speaker 1: What do you make of the administration's abrupt series of

316
00:17:41,240 --> 00:17:44,440
Speaker 1: changes when it comes to immigration enforcement during the week.

317
00:17:44,880 --> 00:17:49,240
Speaker 2: Well, what happened was that the President seemed to suggest

318
00:17:49,320 --> 00:17:55,280
Speaker 2: and PIS actually ordered its agents to exempt from enforcement

319
00:17:56,600 --> 00:18:03,680
Speaker 2: all farms, meat packers, restaurants, and hotels. And that was crazy.

320
00:18:04,080 --> 00:18:08,720
Speaker 2: It just doesn't make sense. And it only lasted though

321
00:18:08,760 --> 00:18:12,080
Speaker 2: for a brief time. He was caving to pressure from

322
00:18:13,160 --> 00:18:18,600
Speaker 2: business interests and from even within his own administration, the

323
00:18:18,640 --> 00:18:23,600
Speaker 2: Secretary of Agriculture, Brooke Rollins, who was kind of, in

324
00:18:23,600 --> 00:18:27,760
Speaker 2: a sense more of agriculture's lobbyist in the administration rather

325
00:18:27,800 --> 00:18:31,199
Speaker 2: than the administration's representative high culture.

326
00:18:31,800 --> 00:18:34,800
Speaker 1: But we saw this is the first Trump term two

327
00:18:34,840 --> 00:18:38,040
Speaker 1: that the Secretary of Agriculture was very hesitant towards a

328
00:18:38,080 --> 00:18:40,520
Speaker 1: lot of stuff. So that's not unusual. But I went

329
00:18:40,640 --> 00:18:43,160
Speaker 1: to brook and during my monologue but go ahead, sorry,

330
00:18:43,240 --> 00:18:44,440
Speaker 1: yeah so, but I.

331
00:18:44,359 --> 00:18:47,080
Speaker 2: Mean it is an example of I guess regulatory capture

332
00:18:47,160 --> 00:18:49,199
Speaker 2: is what they call it in political science. But the

333
00:18:49,200 --> 00:18:52,000
Speaker 2: fact is President is a good relationship with her. He's

334
00:18:52,040 --> 00:18:55,000
Speaker 2: also a businessman. He hears from other businessmen, and so

335
00:18:55,720 --> 00:18:58,119
Speaker 2: you know, he said, okay, yeah, this is important, and

336
00:18:58,200 --> 00:19:02,280
Speaker 2: so we'll back off on this. Well, immediately he faced

337
00:19:02,400 --> 00:19:05,919
Speaker 2: not just a resistance from his own base, you know,

338
00:19:06,000 --> 00:19:09,680
Speaker 2: people online and elsewhere saying this is crazy, but within

339
00:19:09,720 --> 00:19:14,560
Speaker 2: the administration itself there was extreme pushback. I only know

340
00:19:14,640 --> 00:19:16,760
Speaker 2: a few of the details. I can't really talk about

341
00:19:16,800 --> 00:19:19,879
Speaker 2: what the little that I know, but there was strong pushback.

342
00:19:20,280 --> 00:19:25,720
Speaker 2: And so on Monday they reversed course and set the

343
00:19:27,000 --> 00:19:31,960
Speaker 2: kind of a message reversing the ban on doing immigration

344
00:19:32,160 --> 00:19:35,200
Speaker 2: enforcement in the whole sectors of the economy. And it's

345
00:19:35,200 --> 00:19:38,960
Speaker 2: good he did both for political and policy reasons that

346
00:19:39,040 --> 00:19:42,399
Speaker 2: he stuck to his original you know, his original strategy.

347
00:19:43,080 --> 00:19:45,760
Speaker 1: What gets me is, and I don't know if you

348
00:19:45,760 --> 00:19:47,720
Speaker 1: saw this or not, it just and it is not

349
00:19:47,800 --> 00:19:49,760
Speaker 1: important if you did him. But I was watching two

350
00:19:49,840 --> 00:19:52,399
Speaker 1: Way the other morning on Monday morning when they were

351
00:19:52,400 --> 00:19:56,359
Speaker 1: talking about this, and they had this is pre reversal,

352
00:19:56,920 --> 00:19:59,479
Speaker 1: and Sean Spicer, who was in the first Trump cabinet,

353
00:19:59,560 --> 00:20:02,040
Speaker 1: was a very high ranking member of the Republican Party

354
00:20:02,040 --> 00:20:05,000
Speaker 1: for some time has probably a year close to the

355
00:20:05,040 --> 00:20:10,080
Speaker 1: president still or mouth close to the president, sat there

356
00:20:10,119 --> 00:20:13,480
Speaker 1: and said, this is republic the Republican Party's chance to

357
00:20:13,600 --> 00:20:17,280
Speaker 1: really go big on immigration and get an amnesty done

358
00:20:17,640 --> 00:20:23,800
Speaker 1: without voting rights, which is it drives me genuinely wanting

359
00:20:23,800 --> 00:20:25,959
Speaker 1: to jump through screens to scream at people when they

360
00:20:26,000 --> 00:20:30,520
Speaker 1: say you can pass amnesties without voting rights. You've been

361
00:20:30,560 --> 00:20:33,840
Speaker 1: working on immigration longer than I have been an adult.

362
00:20:34,440 --> 00:20:37,440
Speaker 1: No shame in that. You're very qualified to talk about this.

363
00:20:38,200 --> 00:20:40,960
Speaker 1: Can you talk about for anyone who was like, oh,

364
00:20:40,960 --> 00:20:45,879
Speaker 1: that's a reasonable position, Talk about what happens when judges

365
00:20:46,560 --> 00:20:50,560
Speaker 1: get their hands on things like the eighty six Reagan amnesty,

366
00:20:51,040 --> 00:20:55,840
Speaker 1: how they kept it going for years and expanding it

367
00:20:55,880 --> 00:20:59,720
Speaker 1: for years after you know, it was even assigned by

368
00:20:59,720 --> 00:21:00,240
Speaker 1: the presid that.

369
00:21:01,280 --> 00:21:05,359
Speaker 2: Yeah, you know, to adapt something Ronald Reagan used to say,

370
00:21:06,680 --> 00:21:11,479
Speaker 2: immigration control is only one memo away from extinction. In

371
00:21:11,520 --> 00:21:15,639
Speaker 2: other words, the business interests and the libertarian interest on

372
00:21:15,680 --> 00:21:23,080
Speaker 2: the Republican side, even if they appear in magaphace, really

373
00:21:23,119 --> 00:21:27,440
Speaker 2: haven't changed. They still want as soon as the opportunity

374
00:21:27,480 --> 00:21:30,280
Speaker 2: presents itself, they're going to say, now is the time

375
00:21:30,320 --> 00:21:33,080
Speaker 2: to amnesty all the illegal immigrants and to you know,

376
00:21:33,200 --> 00:21:36,560
Speaker 2: expand legal immigration even more than the million we take

377
00:21:36,600 --> 00:21:40,080
Speaker 2: it now every year. So that's always going to be there,

378
00:21:40,160 --> 00:21:43,680
Speaker 2: and you know, eternal vigilance is the price of immigration control.

379
00:21:44,080 --> 00:21:48,840
Speaker 2: So this incident didn't really surprise me, at least the

380
00:21:49,400 --> 00:21:52,439
Speaker 2: impulses of the people trying to take advantage of it.

381
00:21:52,640 --> 00:21:56,280
Speaker 2: For instance, there were some before even this happened, there

382
00:21:56,359 --> 00:21:59,000
Speaker 2: was an open letter from a bunch of Republican congressmen.

383
00:21:59,320 --> 00:22:01,440
Speaker 2: I think there were his Spanic Republicans from.

384
00:22:01,560 --> 00:22:04,439
Speaker 3: Narius Sorrows and are was I did the name person

385
00:22:04,640 --> 00:22:09,760
Speaker 3: she's baffering, Ladeo from California. He's actually not Hispanic, he's Portugese.

386
00:22:09,760 --> 00:22:12,240
Speaker 3: But he's also horrendous on immigration.

387
00:22:13,160 --> 00:22:16,480
Speaker 2: Immigration. But they were saying, look, we backed the president

388
00:22:16,640 --> 00:22:20,000
Speaker 2: and we wanted to deport criminals too, but let's not

389
00:22:20,080 --> 00:22:24,560
Speaker 2: deport anybody else. So that that impulse is always there.

390
00:22:24,760 --> 00:22:29,639
Speaker 2: And you know, the president has changed the kind of

391
00:22:29,680 --> 00:22:32,760
Speaker 2: the perspective of the party in general, but that perspective,

392
00:22:33,040 --> 00:22:37,200
Speaker 2: that minority perspective, if you will, among Republicans isn't going away,

393
00:22:37,240 --> 00:22:39,040
Speaker 2: and it's always going to try to, like a weed,

394
00:22:39,760 --> 00:22:42,280
Speaker 2: you know, grow up through the cracks and the sidewalk

395
00:22:42,320 --> 00:22:44,000
Speaker 2: again if it's allowed to.

396
00:22:44,560 --> 00:22:46,639
Speaker 1: Well, you've been you've been going, You've been writing. I

397
00:22:46,640 --> 00:22:49,680
Speaker 1: think you started writing in nineteen ninety five. I think

398
00:22:49,720 --> 00:22:52,000
Speaker 1: that that was the year I looked you up because

399
00:22:52,040 --> 00:22:53,600
Speaker 1: I was like, I actually know Mark for a long time,

400
00:22:53,600 --> 00:22:56,840
Speaker 1: but I don't know his whole biography. He marine's in

401
00:22:56,920 --> 00:23:02,080
Speaker 1: nineteen ninety five. In there when you started, right, Bill

402
00:23:02,119 --> 00:23:05,359
Speaker 1: Clinton was the president. The Barbara Jordan Commission, and for

403
00:23:05,359 --> 00:23:06,600
Speaker 1: those who don't know what it was, it was a

404
00:23:06,600 --> 00:23:09,920
Speaker 1: Democratic black congresswoman who had started a commission on how

405
00:23:09,920 --> 00:23:12,199
Speaker 1: to improve the lives of working class people, and she

406
00:23:12,240 --> 00:23:13,760
Speaker 1: came up with the idea of you need to reduce

407
00:23:13,840 --> 00:23:18,280
Speaker 1: legal immigration was going on, and it was Republicans that

408
00:23:18,359 --> 00:23:23,120
Speaker 1: really killed Barbara Jordan Commission's full adoption because I think

409
00:23:23,119 --> 00:23:25,719
Speaker 1: Clinton was willing to do it. How has the Republican

410
00:23:25,800 --> 00:23:28,720
Speaker 1: Party changed since the mid nineties amics, as you have

411
00:23:28,880 --> 00:23:32,120
Speaker 1: they aside from Donald Trump, are we just one non

412
00:23:32,200 --> 00:23:36,240
Speaker 1: Trump election away from fading back into old habits?

413
00:23:36,920 --> 00:23:40,560
Speaker 2: Well, just to defend the some of the Republicans back

414
00:23:40,560 --> 00:23:45,840
Speaker 2: in nineteen ninety five, the legislation that was introduced based

415
00:23:45,880 --> 00:23:48,840
Speaker 2: on the Barbara Jordan Commission was in the Republican Congress.

416
00:23:48,880 --> 00:23:49,320
Speaker 1: It was.

417
00:23:51,160 --> 00:23:55,040
Speaker 2: Written by Republican Senator Al Simpson and the Senate and

418
00:23:55,400 --> 00:23:59,159
Speaker 2: Lamar Smith, republic congressman in the House. It was killed

419
00:23:59,200 --> 00:24:03,600
Speaker 2: though by or not killed, but it was gutted by

420
00:24:03,720 --> 00:24:07,800
Speaker 2: Spencer Abraham, who was a pro business Republican in the Senate.

421
00:24:08,040 --> 00:24:12,160
Speaker 2: So it was almost a kind of debate among Republicans.

422
00:24:12,160 --> 00:24:16,760
Speaker 2: The Democrats weren't even really part of the discussion. And

423
00:24:18,320 --> 00:24:20,280
Speaker 2: Clinton would have gone along with it so long as

424
00:24:20,280 --> 00:24:23,880
Speaker 2: Barbara Jordan was alive, because the woman had real moral

425
00:24:24,200 --> 00:24:27,399
Speaker 2: theft among Republicans. As soon as she died, he just

426
00:24:27,480 --> 00:24:30,080
Speaker 2: flushed the whole thing down the toilet. And so Congress

427
00:24:30,119 --> 00:24:32,919
Speaker 2: passed a good law, but it was just enforcement. It

428
00:24:32,960 --> 00:24:37,399
Speaker 2: didn't include legal immigration cuts. And what's changed, I think

429
00:24:37,560 --> 00:24:40,240
Speaker 2: is that, and it has changed on the Republican side,

430
00:24:40,480 --> 00:24:45,359
Speaker 2: is that although there are still pro amnesty, These de

431
00:24:45,520 --> 00:24:50,119
Speaker 2: facto open borders Republicans, they are now no longer in

432
00:24:50,160 --> 00:24:52,680
Speaker 2: any position to be driving the bus. In other words,

433
00:24:52,720 --> 00:24:59,320
Speaker 2: they're kind of the tolerated rump of the old Republican

434
00:25:00,119 --> 00:25:04,360
Speaker 2: consensus on mass immigration, who agree on other issues and

435
00:25:04,440 --> 00:25:08,400
Speaker 2: every coalition has many parts to it, but they are

436
00:25:08,440 --> 00:25:11,760
Speaker 2: now clearly pushed to the back of the bus. They're

437
00:25:11,800 --> 00:25:15,680
Speaker 2: not in any position to you know, kind of dictate

438
00:25:15,800 --> 00:25:17,200
Speaker 2: terms to the rest of the party.

439
00:25:17,320 --> 00:25:20,680
Speaker 1: That's who are for Okay, So for the average listener,

440
00:25:20,760 --> 00:25:23,440
Speaker 1: because I always try to give my audience as much

441
00:25:23,480 --> 00:25:25,600
Speaker 1: facts as they can possibly get, they don't get a

442
00:25:25,880 --> 00:25:30,440
Speaker 1: you know, more narrative driven podcasting and television shows. Who

443
00:25:30,600 --> 00:25:35,199
Speaker 1: are members of Congress that are driving the bus on

444
00:25:35,760 --> 00:25:38,840
Speaker 1: a more restriction as side of lower levels of league

445
00:25:38,840 --> 00:25:43,439
Speaker 1: immigration and enforcing the laws to actually get rid of

446
00:25:43,480 --> 00:25:46,400
Speaker 1: illegal immigration. Who are some people that people should look

447
00:25:46,440 --> 00:25:49,439
Speaker 1: at and say, this is the little leader you know.

448
00:25:50,640 --> 00:25:56,000
Speaker 2: On illegal immigration and enforcement, which is an easier issue. Obviously,

449
00:25:56,320 --> 00:25:59,240
Speaker 2: pretty much everybody in leadership is in good you know,

450
00:25:59,359 --> 00:26:03,199
Speaker 2: is solid on that speaker Johnson. You know, people a

451
00:26:03,200 --> 00:26:05,960
Speaker 2: lot of sort of are more excitable. People on the

452
00:26:06,040 --> 00:26:09,240
Speaker 2: right are dissatisfied with what he's doing, but he's actually

453
00:26:09,520 --> 00:26:13,440
Speaker 2: with a what three vote majority or something, been phenomenally effective.

454
00:26:14,600 --> 00:26:17,880
Speaker 2: And they passed in the last Congress HR two, which

455
00:26:17,920 --> 00:26:22,800
Speaker 2: had a whole panoply of important changes, the kinds of

456
00:26:22,840 --> 00:26:26,399
Speaker 2: things that can't be in a reconciliation built in other words,

457
00:26:26,440 --> 00:26:29,560
Speaker 2: that substantive changes, and they're going to reintroduce that. So

458
00:26:29,720 --> 00:26:35,439
Speaker 2: on immigration enforcement, you're pretty much going to be, you know,

459
00:26:35,600 --> 00:26:37,640
Speaker 2: almost all the Republicans are going to be pretty good.

460
00:26:38,119 --> 00:26:41,320
Speaker 2: Legal immigration numbers is where the issue is, and I

461
00:26:41,359 --> 00:26:44,680
Speaker 2: think in the House a future leader on this issue.

462
00:26:44,720 --> 00:26:48,600
Speaker 2: All current leader is Chip Roy. He's good in other words,

463
00:26:48,640 --> 00:26:53,240
Speaker 2: he's committed to broadly reducing immigration, not just enforcing the law.

464
00:26:53,560 --> 00:26:56,560
Speaker 2: And an up and coming person a freshman is Brandon

465
00:26:56,600 --> 00:27:00,840
Speaker 2: Gill from Texas, who's definitely wants to make this issue

466
00:27:00,920 --> 00:27:03,520
Speaker 2: again legal numbers as well his and.

467
00:27:04,080 --> 00:27:06,960
Speaker 1: Who was Brandon's a GC for his first campaign.

468
00:27:07,480 --> 00:27:13,200
Speaker 2: I don't know, thank you? Oh really, okay, congratulations yet,

469
00:27:13,600 --> 00:27:13,960
Speaker 2: thank you?

470
00:27:14,760 --> 00:27:17,159
Speaker 1: Then it has to be Tom Cotton, right, yeah.

471
00:27:17,040 --> 00:27:21,760
Speaker 2: Tom Cotton, clearly, Josh Hawley as well, he's sort of,

472
00:27:22,080 --> 00:27:24,560
Speaker 2: you know, taken the lead on other issues, but he

473
00:27:24,640 --> 00:27:28,040
Speaker 2: is definitely on this issue. And I got to say,

474
00:27:28,680 --> 00:27:33,920
Speaker 2: even Ted Cruz has become better on the legal immigration issue.

475
00:27:33,960 --> 00:27:36,000
Speaker 2: He used to be more of just a kind of

476
00:27:36,400 --> 00:27:40,320
Speaker 2: conventional legal good, illegal bad Republican. In fact, he literally

477
00:27:40,320 --> 00:27:42,480
Speaker 2: said that once on the four of the Senate, my

478
00:27:42,600 --> 00:27:45,320
Speaker 2: immigration policy is legal good, illegal bad. And I was

479
00:27:45,720 --> 00:27:47,920
Speaker 2: I felt like saying, Ted, that's like a joke, that's

480
00:27:47,920 --> 00:27:50,760
Speaker 2: a meb, what are you doing? But he's gotten better.

481
00:27:51,119 --> 00:27:53,080
Speaker 2: And yeah, and I'm gonna say, one of the best

482
00:27:53,119 --> 00:27:57,040
Speaker 2: people who's no longer in the Senate is Jade Vance

483
00:27:57,400 --> 00:28:01,879
Speaker 2: on irbiration. So you know, if knock on wood, you know,

484
00:28:02,200 --> 00:28:05,199
Speaker 2: things work out. In three and a half years, I

485
00:28:05,240 --> 00:28:10,399
Speaker 2: think we would have, you know, an actual restrictionist in

486
00:28:10,440 --> 00:28:14,199
Speaker 2: the White House. Whereas with Trump. Look, I voted for

487
00:28:14,240 --> 00:28:17,240
Speaker 2: the guy all three times. I'm delighted his president, but

488
00:28:18,240 --> 00:28:20,800
Speaker 2: you know, he's not really a restrictionist. He's more of

489
00:28:20,840 --> 00:28:25,360
Speaker 2: an enforced the law. But we need lots of legal immigrants.

490
00:28:25,800 --> 00:28:27,760
Speaker 2: Would you say transitional figure? I think?

491
00:28:27,920 --> 00:28:30,600
Speaker 1: Would you say he's the most conservative president immigration in

492
00:28:30,640 --> 00:28:31,600
Speaker 1: your lifetime? Oh?

493
00:28:31,640 --> 00:28:34,720
Speaker 2: Absolutely, no question about it. Well, I mean I don't know, let's.

494
00:28:34,520 --> 00:28:38,960
Speaker 1: See, yeah, lifetime thus far. Okay, So the left, the

495
00:28:38,960 --> 00:28:43,280
Speaker 1: Democrats and the left broadly have used the law Fair

496
00:28:43,760 --> 00:28:46,880
Speaker 1: to try to slow down his agenda on immigration. How

497
00:28:46,960 --> 00:28:52,600
Speaker 1: effective have they been because you've seen screaming on the

498
00:28:52,600 --> 00:28:57,959
Speaker 1: part of you know, commentary and commentators that he is

499
00:28:58,320 --> 00:29:01,760
Speaker 1: usurped the judiciary, which is never wrong in their eyes,

500
00:29:02,760 --> 00:29:07,120
Speaker 1: to deep poorty illegal aliens. Have they have they been

501
00:29:07,160 --> 00:29:09,480
Speaker 1: that effective on it because it feels like he's kind

502
00:29:09,480 --> 00:29:12,160
Speaker 1: of doing what we need to get done to do

503
00:29:12,240 --> 00:29:13,520
Speaker 1: mass deportation. Anyway.

504
00:29:14,360 --> 00:29:17,719
Speaker 2: Uh, he's been way more effective than the first time around.

505
00:29:18,000 --> 00:29:20,360
Speaker 2: They learned a lot of lessons. They learned if you're

506
00:29:20,400 --> 00:29:23,440
Speaker 2: gonna spark a lawsuit, get the thing going early so

507
00:29:23,480 --> 00:29:25,960
Speaker 2: you have time to work it through the courts and win.

508
00:29:26,280 --> 00:29:29,000
Speaker 2: Because there were things triggers they pulled at the end

509
00:29:29,000 --> 00:29:31,080
Speaker 2: of the last administration and they just ran out of

510
00:29:31,120 --> 00:29:34,280
Speaker 2: time and so Biden just reversed them all. So, yeah,

511
00:29:34,320 --> 00:29:37,440
Speaker 2: he's been much more effective. But the Lawfair, Look, it's

512
00:29:37,560 --> 00:29:43,000
Speaker 2: been pretty effective, but it hasn't stopped them from doing

513
00:29:43,040 --> 00:29:45,360
Speaker 2: what they need to do. And in fact, if anything,

514
00:29:46,200 --> 00:29:51,560
Speaker 2: the bottleneck in getting more deportations, for instance, has been money.

515
00:29:51,920 --> 00:29:54,800
Speaker 2: That's what the big beautiful bill is. You know, we're

516
00:29:54,800 --> 00:29:57,160
Speaker 2: going to do it's not just hiring more ice agents

517
00:29:57,160 --> 00:29:59,640
Speaker 2: of what have you, because that takes years to recruit

518
00:29:59,680 --> 00:30:02,480
Speaker 2: and train people and all that. It's more money for

519
00:30:02,600 --> 00:30:05,240
Speaker 2: detention space because you're going to arrest all the people

520
00:30:05,280 --> 00:30:06,920
Speaker 2: you want. If you've got nowhere to hold them while

521
00:30:06,960 --> 00:30:09,520
Speaker 2: you do the paperwork send them home, you end up

522
00:30:09,560 --> 00:30:11,640
Speaker 2: having to let them go, and that's sort of missing

523
00:30:11,640 --> 00:30:14,800
Speaker 2: the whole point. So I think once that bill is

524
00:30:14,920 --> 00:30:18,880
Speaker 2: passed and the money is authorized or appropriated for them

525
00:30:18,960 --> 00:30:23,400
Speaker 2: to let out more contracts for detention space, you're going

526
00:30:23,480 --> 00:30:28,200
Speaker 2: to see deportations actually go up significantly, and there's just

527
00:30:28,280 --> 00:30:31,480
Speaker 2: nothing that the other side can do in court stop that.

528
00:30:31,520 --> 00:30:36,360
Speaker 2: The lawfair has mainly been about more narrow issues like

529
00:30:36,480 --> 00:30:40,840
Speaker 2: that jew hating crackpot in New York. Who is the

530
00:30:40,840 --> 00:30:44,280
Speaker 2: Columbia guy. That's just one guy, So it's holding up

531
00:30:44,320 --> 00:30:48,280
Speaker 2: that there's that you know, the court case is, you know,

532
00:30:48,720 --> 00:30:51,280
Speaker 2: getting a lot of attention, but it's just the detention

533
00:30:51,360 --> 00:30:54,000
Speaker 2: of one guy, and they're deporting a thousand people while

534
00:30:54,040 --> 00:30:56,280
Speaker 2: that's going on, you see what I mean. So so

535
00:30:56,360 --> 00:31:02,000
Speaker 2: the lawfare is almost more a kind of to make

536
00:31:02,080 --> 00:31:05,240
Speaker 2: the left feel better because they're stopping the deportation of

537
00:31:05,280 --> 00:31:09,640
Speaker 2: one guy rather than actually interfering with the president's agenda.

538
00:31:10,120 --> 00:31:12,360
Speaker 1: Damy's allowed, but jew hitting crack pop, which is a

539
00:31:12,440 --> 00:31:14,360
Speaker 1: very funny turn of phrase, though.

540
00:31:16,000 --> 00:31:19,000
Speaker 2: It applies to a lot of people. I'm afraid that's

541
00:31:19,040 --> 00:31:20,360
Speaker 2: one hundred is untrue.

542
00:31:20,960 --> 00:31:25,360
Speaker 1: I wanted so. I did a debate in October September

543
00:31:25,400 --> 00:31:28,320
Speaker 1: of last year with the libertarian cant running for president

544
00:31:29,360 --> 00:31:32,080
Speaker 1: in case Olive I think his name was, and he

545
00:31:32,160 --> 00:31:34,560
Speaker 1: would say things and I want you to answer them,

546
00:31:34,600 --> 00:31:38,280
Speaker 1: because this is what a lot of regular people here

547
00:31:38,640 --> 00:31:40,480
Speaker 1: day in and day out. And on its face it

548
00:31:40,680 --> 00:31:45,440
Speaker 1: sounds good policy, but it's not good policy. So why

549
00:31:45,560 --> 00:31:48,200
Speaker 1: is it not a good idea just to let the

550
00:31:48,360 --> 00:31:52,360
Speaker 1: market and businesses set immigration standards.

551
00:31:51,920 --> 00:31:56,600
Speaker 2: Because there's an unlimited demand to come to the United States.

552
00:31:56,840 --> 00:31:59,080
Speaker 2: I mean, there's only you know, what is it, seven

553
00:31:59,120 --> 00:32:01,720
Speaker 2: and a half billion people outside the United States, but

554
00:32:02,040 --> 00:32:03,840
Speaker 2: you know ten percent of them come here. The United

555
00:32:03,880 --> 00:32:08,440
Speaker 2: States seas is to exist in any mediefal sense. And

556
00:32:08,600 --> 00:32:11,680
Speaker 2: this idea of a market based immigration policy means that

557
00:32:11,760 --> 00:32:16,640
Speaker 2: every American worker is now in direct competition with everybody

558
00:32:16,720 --> 00:32:21,280
Speaker 2: abroad who have you know, totally different expectations about salary

559
00:32:21,480 --> 00:32:25,160
Speaker 2: or work. You know, conditions or any any of that.

560
00:32:26,080 --> 00:32:32,640
Speaker 2: We have immigration limits precisely because there's only so much

561
00:32:32,640 --> 00:32:38,720
Speaker 2: immigration our system, broadly speaking, can successfully deal with, for instance,

562
00:32:40,200 --> 00:32:46,440
Speaker 2: in work in employment, we have a post industrial knowledge

563
00:32:46,480 --> 00:32:49,200
Speaker 2: based economy. If we're going to let everybody in the

564
00:32:49,240 --> 00:32:51,600
Speaker 2: world in, we're going to end up with a third

565
00:32:51,680 --> 00:32:55,560
Speaker 2: world low productivity economy, because that's what we be important.

566
00:32:55,880 --> 00:32:59,360
Speaker 2: We have a welfare state. Libertarians say, oh, that's true,

567
00:32:59,360 --> 00:33:02,160
Speaker 2: but let's just and welfare. Well, okay, you know, do

568
00:33:02,280 --> 00:33:03,320
Speaker 2: that and then give me a call.

569
00:33:03,360 --> 00:33:03,880
Speaker 1: You know what I mean.

570
00:33:03,920 --> 00:33:07,240
Speaker 2: It's a part of any modern society. And then there's assimilation.

571
00:33:09,280 --> 00:33:11,760
Speaker 2: Even one hundred or two hundred years ago, assimilation was

572
00:33:11,800 --> 00:33:14,840
Speaker 2: still a difficult thing. It always is, but in a

573
00:33:14,880 --> 00:33:20,680
Speaker 2: modern society with both advanced communications and transportation so that

574
00:33:20,720 --> 00:33:23,080
Speaker 2: you can keep in touch, you know, with the old

575
00:33:23,120 --> 00:33:25,360
Speaker 2: country and basically almost live in two countries at the

576
00:33:25,400 --> 00:33:30,520
Speaker 2: same time, combined with a leadership class not just in

577
00:33:30,560 --> 00:33:34,200
Speaker 2: government but in business and schools and religion everywhere that

578
00:33:34,400 --> 00:33:38,760
Speaker 2: basically don't believe in assimilation. How can you americanize people?

579
00:33:38,800 --> 00:33:43,280
Speaker 2: So a market driven immigration policy is just a fancy

580
00:33:43,280 --> 00:33:48,760
Speaker 2: way of saying unlimited immigration and everybody sort of gets

581
00:33:48,760 --> 00:33:52,040
Speaker 2: except for some libertarians, that unlimited immigration is bad for

582
00:33:52,120 --> 00:33:52,680
Speaker 2: the country.

583
00:33:53,240 --> 00:33:56,840
Speaker 1: And and what I think a lot of people don't know,

584
00:33:57,040 --> 00:34:01,480
Speaker 1: because not everyone knows history, especially on this issue specifically,

585
00:34:01,520 --> 00:34:05,400
Speaker 1: as well as maybe they should, is that for forty years,

586
00:34:05,440 --> 00:34:08,160
Speaker 1: we essentially had almost no legal immigration. I mean, it

587
00:34:08,200 --> 00:34:11,760
Speaker 1: was very close to zero between what was in nineteen

588
00:34:11,800 --> 00:34:13,880
Speaker 1: twenty four, ninety four.

589
00:34:13,880 --> 00:34:16,680
Speaker 2: Nineteen sixty five, and I think we happy immigration, but

590
00:34:16,719 --> 00:34:18,600
Speaker 2: it was a lot lower than it had.

591
00:34:18,440 --> 00:34:22,920
Speaker 1: Been and during their forty year period we had. It

592
00:34:22,960 --> 00:34:26,520
Speaker 1: was funny. I had a tweet that went slightly viral

593
00:34:26,840 --> 00:34:31,160
Speaker 1: because someone was saying, the the fact that there is

594
00:34:31,200 --> 00:34:34,880
Speaker 1: a white that people are perceived as being white, is

595
00:34:35,000 --> 00:34:40,000
Speaker 1: a means assimilation works. Yes, after two hundred years, several

596
00:34:41,120 --> 00:34:45,120
Speaker 1: forced integration through through the draft wars. I think there

597
00:34:45,160 --> 00:34:48,080
Speaker 1: was four drafts between or three drafts between the nineteen

598
00:34:48,080 --> 00:34:52,040
Speaker 1: twenty fourteen sixty five Vietnam Korea and World War Two,

599
00:34:52,840 --> 00:34:56,320
Speaker 1: and a unique culture people who all came from a

600
00:34:56,360 --> 00:34:58,719
Speaker 1: regions two hundred miles apart from each other seemed to

601
00:34:58,719 --> 00:35:05,239
Speaker 1: assimilate in America anyway. Sorry, Okay, last question for you.

602
00:35:05,560 --> 00:35:09,840
Speaker 1: What is something that Congress should be moving forward? To

603
00:35:09,920 --> 00:35:12,680
Speaker 1: achieve the president's agenda on immigration.

604
00:35:15,360 --> 00:35:18,839
Speaker 2: Let me just mention two things that Congress would need

605
00:35:18,880 --> 00:35:23,080
Speaker 2: to do. One is mandatory everify.

606
00:35:23,880 --> 00:35:26,360
Speaker 1: That's explain, explain explain that though.

607
00:35:26,200 --> 00:35:30,640
Speaker 2: That's the online system that it's free for employers to use,

608
00:35:31,120 --> 00:35:33,799
Speaker 2: and what it involves is when you hire somebody, you

609
00:35:33,880 --> 00:35:36,960
Speaker 2: do the payroll information with Social Security and IRS. Anyway,

610
00:35:37,160 --> 00:35:40,400
Speaker 2: it's just another website you go to verify the person's

611
00:35:40,480 --> 00:35:44,040
Speaker 2: lawfully authorized to work. And it's not perfect, but it's

612
00:35:44,040 --> 00:35:46,680
Speaker 2: pretty good. It's it can be gained, but it's not

613
00:35:46,800 --> 00:35:50,279
Speaker 2: easy to gain. And it exists now. It's up and

614
00:35:50,320 --> 00:35:52,879
Speaker 2: running for a government program and actually works pretty well.

615
00:35:53,280 --> 00:35:56,680
Speaker 2: But it's voluntary and so only about half of new

616
00:35:56,760 --> 00:36:00,319
Speaker 2: hires of screens through it. Everybody needs to do that.

617
00:36:00,360 --> 00:36:01,960
Speaker 2: It needs to be just a regular part of the

618
00:36:02,040 --> 00:36:05,560
Speaker 2: hiring process on its own. It's not a magic bullet

619
00:36:05,560 --> 00:36:07,480
Speaker 2: that's going to end illegal immigration, but it's kind of

620
00:36:07,520 --> 00:36:10,600
Speaker 2: the lowest hanging fruit. The most obvious thing we need

621
00:36:10,680 --> 00:36:12,960
Speaker 2: to do, and the other thing Congress needs to do

622
00:36:13,080 --> 00:36:18,280
Speaker 2: is reform asylum rules because under Biden, that was the

623
00:36:18,320 --> 00:36:22,600
Speaker 2: excuse for opening up the border was while these people

624
00:36:22,640 --> 00:36:28,080
Speaker 2: are asylum seekers and Asylum is an artifact of the

625
00:36:28,120 --> 00:36:30,279
Speaker 2: Cold War and the end of World War Two. It

626
00:36:30,320 --> 00:36:33,360
Speaker 2: basically was invented in nineteen fifty one by UN treaty.

627
00:36:33,800 --> 00:36:37,120
Speaker 2: The president can in fact start the process of reforming

628
00:36:37,160 --> 00:36:41,360
Speaker 2: it by withdrawing from the UN Refugee treat we signed

629
00:36:41,480 --> 00:36:44,000
Speaker 2: the nineteen sixty seven version of but it doesn't really matter.

630
00:36:44,000 --> 00:36:46,000
Speaker 2: But the point is he can withdraw from the treaty.

631
00:36:46,600 --> 00:36:49,720
Speaker 2: Congress still has to change the law, but I think

632
00:36:49,800 --> 00:36:52,640
Speaker 2: politically the way to get the ball rolling is for

633
00:36:52,719 --> 00:36:56,120
Speaker 2: the president to withdraw from the treaty. I actually suggested

634
00:36:56,160 --> 00:36:59,720
Speaker 2: that to the White House last time, and some people

635
00:36:59,760 --> 00:37:02,400
Speaker 2: were perceptive, and it never went anywhere mean because Jared

636
00:37:02,440 --> 00:37:06,080
Speaker 2: Kushner liked the idea, or Ivanka was like, oh, that's mean,

637
00:37:06,160 --> 00:37:08,880
Speaker 2: daddy or something. Anyway, whatever it is, it didn't happen.

638
00:37:09,680 --> 00:37:13,319
Speaker 2: It's put completely within the president's power and it is

639
00:37:13,440 --> 00:37:19,840
Speaker 2: essential because asylum is different from refugee reso refugees. We

640
00:37:19,880 --> 00:37:23,400
Speaker 2: could do it badly. We often have ilan Omar as

641
00:37:23,440 --> 00:37:26,279
Speaker 2: an example a case in point, but it's something that

642
00:37:26,360 --> 00:37:29,080
Speaker 2: we It's an active American it's a sovereign act of

643
00:37:29,120 --> 00:37:32,759
Speaker 2: the government. Asylum is an illegal alien, breaking into your

644
00:37:32,760 --> 00:37:34,680
Speaker 2: country and saying you you have no choice but to

645
00:37:34,760 --> 00:37:37,560
Speaker 2: let me stay because I have a right to stay

646
00:37:37,560 --> 00:37:40,400
Speaker 2: here whether you like it or not. That has to change.

647
00:37:40,760 --> 00:37:45,319
Speaker 2: It's the big vulnerability in all developed countries. Europe is

648
00:37:45,360 --> 00:37:48,920
Speaker 2: facing this asylum being the way that is sort of

649
00:37:48,920 --> 00:37:52,120
Speaker 2: the vehicle for illegal immigration. Israel is facing it, people

650
00:37:52,400 --> 00:37:56,080
Speaker 2: waiting across the Jordan River from Africa and saying you know,

651
00:37:56,120 --> 00:37:58,600
Speaker 2: you have to let me stay. Australia's dealt with it.

652
00:37:58,640 --> 00:38:01,920
Speaker 2: So all modern societies need to deal with the sylo

653
00:38:02,080 --> 00:38:05,560
Speaker 2: n Ultimately it's Congress that needs to fix that. In

654
00:38:05,640 --> 00:38:06,200
Speaker 2: our case.

655
00:38:06,880 --> 00:38:09,399
Speaker 1: Where can people go to read more about from americansern

656
00:38:09,800 --> 00:38:12,200
Speaker 1: Immigration Studies and from your stuff?

657
00:38:12,680 --> 00:38:16,360
Speaker 2: We're online at CIS dot org. Everything's there. We have

658
00:38:16,440 --> 00:38:21,480
Speaker 2: new blog posts every day, and anything we do elsewhere,

659
00:38:21,520 --> 00:38:23,680
Speaker 2: like op eds and stuff, we always have in the

660
00:38:23,840 --> 00:38:25,759
Speaker 2: link in the in the blog. So that's kind of

661
00:38:25,760 --> 00:38:28,600
Speaker 2: the one place to go. And if you like snark

662
00:38:28,640 --> 00:38:32,560
Speaker 2: and sarcasm, I'm on Twitter at Mark s as In

663
00:38:32,680 --> 00:38:34,319
Speaker 2: Stephen Mark s. Crecoria.

664
00:38:34,960 --> 00:38:37,200
Speaker 1: Well Mark, thank you for being here. Check out Center

665
00:38:37,200 --> 00:38:39,600
Speaker 1: for Immigration Studies. I love that website. I go to

666
00:38:39,640 --> 00:38:41,560
Speaker 1: it all the time. Thank you for being on this podcast.

667
00:38:41,680 --> 00:38:43,839
Speaker 1: Thank you Ryan, you're listening to It's The Numbers Game

668
00:38:43,840 --> 00:38:46,680
Speaker 1: with Ryan Grodwsky. We'll be right back after this message.

669
00:38:50,239 --> 00:38:52,160
Speaker 1: Now it's time for the Ask Me Anything segment of

670
00:38:52,200 --> 00:38:53,960
Speaker 1: the show. I have to tell you I have received

671
00:38:54,040 --> 00:38:57,520
Speaker 1: so many emails recently and it means so much to me,

672
00:38:57,640 --> 00:39:02,000
Speaker 1: Like it's I'm very humble by because everything that I

673
00:39:02,040 --> 00:39:04,279
Speaker 1: do in my professional life are most things I do

674
00:39:04,320 --> 00:39:07,359
Speaker 1: in my professional life is very solitary. I don't work

675
00:39:07,400 --> 00:39:09,520
Speaker 1: in an office. I really never have worked in an office.

676
00:39:09,800 --> 00:39:13,239
Speaker 1: I do a podcast with just a producer. I'll do television.

677
00:39:13,239 --> 00:39:17,000
Speaker 1: I'm invited with just a cameraman. I write alone. So

678
00:39:17,080 --> 00:39:20,960
Speaker 1: I don't ever feel like anyone is listening. Even though

679
00:39:20,960 --> 00:39:24,200
Speaker 1: I see number of reports, it doesn't mean as much

680
00:39:24,239 --> 00:39:27,160
Speaker 1: as getting some human communication that there's somebody else on

681
00:39:27,200 --> 00:39:30,560
Speaker 1: the other side of this phone or wherever you're listening.

682
00:39:30,600 --> 00:39:33,120
Speaker 1: So it really it means a lot to me. If

683
00:39:33,160 --> 00:39:34,960
Speaker 1: you want to be part of the ask Me Anything segment,

684
00:39:34,960 --> 00:39:37,040
Speaker 1: if you want to ask me any questions on polling

685
00:39:37,160 --> 00:39:41,080
Speaker 1: or policy or my favorite movie or whatever, email me

686
00:39:41,200 --> 00:39:44,600
Speaker 1: ryanat Numbers Game podcast dot com. Let's plug Ryan at

687
00:39:44,719 --> 00:39:48,040
Speaker 1: Numbers Game Podcast dot com I read every email, and

688
00:39:48,719 --> 00:39:52,040
Speaker 1: those that I can't answer on air, I will personally

689
00:39:52,080 --> 00:39:54,839
Speaker 1: email them back. So I have two questions this week.

690
00:39:54,880 --> 00:39:57,520
Speaker 1: First question this week comes from Jill. She writes, after

691
00:39:57,600 --> 00:40:01,480
Speaker 1: listening to your May twenty ninth podcast about shifting political landscapes,

692
00:40:01,560 --> 00:40:04,520
Speaker 1: I am interested in your thoughts on whether Americans would

693
00:40:04,520 --> 00:40:07,840
Speaker 1: come together if attacked by another country. Seeing videos of

694
00:40:07,880 --> 00:40:11,360
Speaker 1: bombs falling on Tel Aviv. I fear politically divided America

695
00:40:11,360 --> 00:40:15,000
Speaker 1: would not stand strong and united. Your thoughts that is

696
00:40:15,239 --> 00:40:19,240
Speaker 1: a great question. Thank you for sending me that email.

697
00:40:20,440 --> 00:40:24,719
Speaker 1: I think, like many people of a particular age, when

698
00:40:24,760 --> 00:40:27,240
Speaker 1: I think about Americans coming together in a time of tragedy,

699
00:40:27,239 --> 00:40:30,640
Speaker 1: I think about nine to eleven. It happened twenty four

700
00:40:30,719 --> 00:40:32,400
Speaker 1: years ago. So it's weird to say people of a

701
00:40:32,400 --> 00:40:35,080
Speaker 1: certain age because it feels like it was just like

702
00:40:36,000 --> 00:40:38,880
Speaker 1: last year in some sense, like it doesn't feel like

703
00:40:38,920 --> 00:40:42,360
Speaker 1: as long as it actually was. And you know, I

704
00:40:42,400 --> 00:40:44,920
Speaker 1: don't talk a lot about my personal life, but nine

705
00:40:44,960 --> 00:40:48,719
Speaker 1: to eleven was deeply, deeply personal to me in a

706
00:40:48,719 --> 00:40:50,839
Speaker 1: certain way because my mom worked on the ninety seventh

707
00:40:50,840 --> 00:40:54,160
Speaker 1: floor of Tower One. Thankfully she made it out alive

708
00:40:54,239 --> 00:40:56,680
Speaker 1: because she wasn't in her office yet if she had been,

709
00:40:56,719 --> 00:41:00,360
Speaker 1: she would have been killed. My uncle was a window

710
00:41:00,480 --> 00:41:04,080
Speaker 1: washer at the World Trade Center, so and thankfully he

711
00:41:04,120 --> 00:41:07,799
Speaker 1: made it out alive. So the memories of that day

712
00:41:08,040 --> 00:41:12,920
Speaker 1: were very real because of how personal it was, and

713
00:41:12,960 --> 00:41:16,239
Speaker 1: I guess parts of the country it was, but it

714
00:41:16,440 --> 00:41:18,720
Speaker 1: wasn't at the same way. But they was a feeling

715
00:41:18,719 --> 00:41:21,399
Speaker 1: of we should all be together. I would actually love

716
00:41:23,080 --> 00:41:25,120
Speaker 1: to do a podcast for nine to eleven with my

717
00:41:25,239 --> 00:41:27,919
Speaker 1: mom and my uncle on it and talk about that day.

718
00:41:28,160 --> 00:41:31,120
Speaker 1: I didn't even mention this on to this to them yet.

719
00:41:31,160 --> 00:41:33,080
Speaker 1: They have no idea. I'm going to pitch this them,

720
00:41:33,080 --> 00:41:34,480
Speaker 1: but I'm going to do it and we'll see if

721
00:41:34,480 --> 00:41:36,600
Speaker 1: they're if they'll be up in it, they'll be up

722
00:41:36,640 --> 00:41:39,080
Speaker 1: for it. But growing up in New York City, I think,

723
00:41:39,600 --> 00:41:43,440
Speaker 1: and being middle aged at this point, I think that

724
00:41:43,440 --> 00:41:48,040
Speaker 1: that day and those memories of even the post nine

725
00:41:48,080 --> 00:41:52,480
Speaker 1: to eleven are so palpable and more than than they

726
00:41:52,520 --> 00:41:55,719
Speaker 1: even were when when it first happened, because there was

727
00:41:55,760 --> 00:41:58,960
Speaker 1: a real sense of unity and that everyone was for

728
00:41:59,160 --> 00:42:01,640
Speaker 1: New York City, which being a New Yorker, you know

729
00:42:02,480 --> 00:42:05,200
Speaker 1: that doesn't happen very often. I think there was a

730
00:42:04,520 --> 00:42:07,720
Speaker 1: Woody Allen line from Annie Hall where he thinks everyone,

731
00:42:08,160 --> 00:42:10,080
Speaker 1: if the whole country thinks everyone from New York is

732
00:42:10,239 --> 00:42:13,920
Speaker 1: a Jewish, pornographic homosexuals, a socialist. And I think that,

733
00:42:13,960 --> 00:42:17,160
Speaker 1: and I live here. That's very much true how some

734
00:42:17,200 --> 00:42:19,640
Speaker 1: people view in New York City. So the fact the

735
00:42:19,640 --> 00:42:24,520
Speaker 1: whole country came together is super powerful, super meaningful, and

736
00:42:25,920 --> 00:42:27,920
Speaker 1: I don't think it would happen again. I talked to

737
00:42:28,000 --> 00:42:31,000
Speaker 1: a veteran recently who served in Iraq and signed up

738
00:42:31,000 --> 00:42:32,839
Speaker 1: after nine to eleven, and he was from the middle

739
00:42:32,880 --> 00:42:34,920
Speaker 1: of the country, and he said some of the effect

740
00:42:35,000 --> 00:42:39,400
Speaker 1: of like viewing how New Yorkers feel about us, I

741
00:42:39,440 --> 00:42:43,160
Speaker 1: wouldn't go fight for them anymore. And I feel like

742
00:42:43,239 --> 00:42:45,840
Speaker 1: he's probably not alone. So my heart tells me that

743
00:42:45,920 --> 00:42:48,600
Speaker 1: they would, that we would do it, but because of

744
00:42:48,640 --> 00:42:52,279
Speaker 1: the Internet, because of grifters who try to make a

745
00:42:52,360 --> 00:42:58,480
Speaker 1: name for themselves pedaling conspiracy theories or unpopular sentiment, attacking

746
00:42:58,560 --> 00:43:02,200
Speaker 1: our own country, attacking our own people. I think that

747
00:43:02,239 --> 00:43:05,319
Speaker 1: there would be a real incentive for people out there

748
00:43:05,360 --> 00:43:10,080
Speaker 1: to make money by, you know, tearing each other down

749
00:43:10,200 --> 00:43:13,480
Speaker 1: in a time when we really need help. And I

750
00:43:14,080 --> 00:43:15,960
Speaker 1: just feel it that way. Maybe I'm wrong maybe. I

751
00:43:15,960 --> 00:43:18,680
Speaker 1: mean the floods in North Carolina were a good example that,

752
00:43:19,960 --> 00:43:22,759
Speaker 1: and the fires and flora in California were a good

753
00:43:22,760 --> 00:43:26,560
Speaker 1: example of people rallying around and coming together. My heart

754
00:43:26,600 --> 00:43:28,640
Speaker 1: tells me that they would, but my head sits there

755
00:43:28,680 --> 00:43:31,719
Speaker 1: and says, now, they would probably use the moment to really,

756
00:43:31,800 --> 00:43:35,640
Speaker 1: especially in a war, to fracture us. So all right,

757
00:43:35,680 --> 00:43:37,040
Speaker 1: I'm not going to leave it on a down or not.

758
00:43:37,120 --> 00:43:41,040
Speaker 1: I'm going to do one more email. Here's the here

759
00:43:41,239 --> 00:43:44,680
Speaker 1: is the so, he says, HI love the podcast. First

760
00:43:44,680 --> 00:43:47,960
Speaker 1: heard you on Claim Buck and had to follow yours. Truly,

761
00:43:48,760 --> 00:43:51,480
Speaker 1: keep keep this brief, and I get a lot of emails,

762
00:43:51,480 --> 00:43:52,839
Speaker 1: And I don't get a lot of emails, by the way,

763
00:43:52,880 --> 00:43:55,359
Speaker 1: I just get very few, but I appreciate them. In

764
00:43:55,400 --> 00:43:58,280
Speaker 1: response to your Omaha e Verify story you covered Friday

765
00:43:58,480 --> 00:44:01,480
Speaker 1: years ago, I ran EACHR at a small manufacturing plant

766
00:44:01,480 --> 00:44:05,000
Speaker 1: in Lincoln. I guess Lincoln, Nebraska, forty miles southwest of Omaha.

767
00:44:05,640 --> 00:44:08,880
Speaker 1: Low paid, no skilled jobs, hard to hire folks. We

768
00:44:08,920 --> 00:44:12,720
Speaker 1: employed ninety percent immigrants. Received a letter from Social Security

769
00:44:12,760 --> 00:44:15,640
Speaker 1: that sixty of our one hundred and twenty social Security

770
00:44:15,680 --> 00:44:18,680
Speaker 1: numbers were invalid, not stolen, but they did not exist.

771
00:44:18,880 --> 00:44:21,239
Speaker 1: I put out a notice that we need to reverify

772
00:44:21,280 --> 00:44:23,759
Speaker 1: their social secure numbers, so to bring their IDs and

773
00:44:23,800 --> 00:44:27,120
Speaker 1: Social Security cards the next day and we could clear it.

774
00:44:27,680 --> 00:44:30,160
Speaker 1: None showed up to work the next day or ever again.

775
00:44:30,520 --> 00:44:33,000
Speaker 1: My CEO often turned a blind eye to this, for

776
00:44:33,120 --> 00:44:36,279
Speaker 1: one simple operational reality is that he needs workers and

777
00:44:36,280 --> 00:44:38,560
Speaker 1: they only be paid. Over the years, we had a

778
00:44:38,640 --> 00:44:42,280
Speaker 1: handful of stolen ones, but mostly fake social Security numbers.

779
00:44:42,360 --> 00:44:45,240
Speaker 1: I copy them all as an onboarding and they looked legit,

780
00:44:45,440 --> 00:44:49,000
Speaker 1: like a legit documentation. At the Omaha plant, they are

781
00:44:49,040 --> 00:44:52,000
Speaker 1: facing a similar situation. I suspect a few residents like

782
00:44:52,080 --> 00:44:54,520
Speaker 1: to want to work there or at all, so the

783
00:44:54,520 --> 00:44:56,840
Speaker 1: illegal aliens who want to are welcome by the company.

784
00:44:57,160 --> 00:45:00,080
Speaker 1: Supply met demand, and the firm used e verify the

785
00:45:00,080 --> 00:45:02,560
Speaker 1: best that they could quote unquote and hope that they'd

786
00:45:02,600 --> 00:45:05,040
Speaker 1: fly under the radar. Illegal entry is a crime, and

787
00:45:05,080 --> 00:45:08,520
Speaker 1: I am for deportations and against the bogus orchestrated protests,

788
00:45:08,640 --> 00:45:11,479
Speaker 1: but I do understand the business's case when citizens would

789
00:45:11,600 --> 00:45:14,239
Speaker 1: rather sit at home and lemmit that they can't start

790
00:45:14,280 --> 00:45:17,040
Speaker 1: their careers at the same point as their parents are today.

791
00:45:17,160 --> 00:45:19,320
Speaker 1: I don't mean that to paint everyone the same brush.

792
00:45:19,560 --> 00:45:22,040
Speaker 1: But I'm a finance but I'm a finance professor and

793
00:45:22,080 --> 00:45:26,000
Speaker 1: see enough of the stereotype. I'm afraid. While the manufacturers

794
00:45:26,040 --> 00:45:28,719
Speaker 1: need workers to get product out the door. Anyway, I

795
00:45:28,760 --> 00:45:31,240
Speaker 1: don't write often a podcast I follow, but the story

796
00:45:31,320 --> 00:45:35,920
Speaker 1: was literally so close to my home. Appreciate your intellect. LW. Hughes, LW.

797
00:45:36,080 --> 00:45:38,800
Speaker 1: Thank you for this email. Yeah. I speak to people

798
00:45:38,800 --> 00:45:40,319
Speaker 1: all the time, business people, and they say, what do

799
00:45:40,360 --> 00:45:43,960
Speaker 1: you want me to do? It is a problem with

800
00:45:44,640 --> 00:45:47,200
Speaker 1: the fact that there are a lot of Americans who

801
00:45:47,320 --> 00:45:50,880
Speaker 1: are comfortable enough and this is true my own family,

802
00:45:51,600 --> 00:45:55,880
Speaker 1: that they don't let their teenage children or sometimes twenty

803
00:45:55,960 --> 00:45:58,799
Speaker 1: some adudi year old children work because they don't have to.

804
00:45:59,360 --> 00:46:02,319
Speaker 1: So there's millions out of the laborpool who could be

805
00:46:02,360 --> 00:46:05,440
Speaker 1: getting jobs. Let's not even say agriculture jobs, but just

806
00:46:05,480 --> 00:46:08,520
Speaker 1: some jobs out there that have to go to resources

807
00:46:08,560 --> 00:46:11,319
Speaker 1: like illegal immigration. But there's also the problem of that

808
00:46:11,520 --> 00:46:14,720
Speaker 1: we do give out visas. We give out a million

809
00:46:14,760 --> 00:46:19,279
Speaker 1: plus visas a year. We don't do the job of

810
00:46:19,719 --> 00:46:23,560
Speaker 1: having our visas because most visas, most green cards and

811
00:46:23,640 --> 00:46:28,120
Speaker 1: visas are through family reunification and not through work needs,

812
00:46:29,120 --> 00:46:31,600
Speaker 1: so we don't have enough going to the right place.

813
00:46:31,719 --> 00:46:34,839
Speaker 1: One and two, employers do not want to go through

814
00:46:34,880 --> 00:46:38,640
Speaker 1: the process of housing and transporting these people and applying

815
00:46:38,680 --> 00:46:41,920
Speaker 1: for the visas. They just want the illegal alien stuff.

816
00:46:41,920 --> 00:46:44,600
Speaker 1: And I understand the need of businesses to operate. I

817
00:46:44,640 --> 00:46:48,759
Speaker 1: completely get that, but for in the agriculture industry, they

818
00:46:48,760 --> 00:46:51,799
Speaker 1: should be doing two to three things. One, changing the

819
00:46:51,840 --> 00:46:55,920
Speaker 1: agriculture visa to make it possible for people to apply easier.

820
00:46:56,960 --> 00:47:00,960
Speaker 1: To mechanize because we have I have the machinery to

821
00:47:01,000 --> 00:47:05,880
Speaker 1: do most farm labor. Now Japan doesn't have a plethora

822
00:47:06,280 --> 00:47:09,760
Speaker 1: of Mexican showing up every year to do their rice patties.

823
00:47:09,800 --> 00:47:12,759
Speaker 1: They have machines that do them. We could mechanize a

824
00:47:12,800 --> 00:47:15,799
Speaker 1: lot of our labor force. And Three, we need to

825
00:47:15,880 --> 00:47:19,479
Speaker 1: reform the way we do welfare to make sure able

826
00:47:19,520 --> 00:47:23,080
Speaker 1: body people are working. I mean, that's just I think

827
00:47:23,160 --> 00:47:25,279
Speaker 1: the three things. And I wish we had lived in

828
00:47:25,320 --> 00:47:29,520
Speaker 1: a culture that would produce people who war teenagers in

829
00:47:29,520 --> 00:47:32,880
Speaker 1: Ano their twenties to do jobs. I mean, that's just

830
00:47:33,400 --> 00:47:35,880
Speaker 1: that's just, you know, they don't I agree with the

831
00:47:35,920 --> 00:47:38,680
Speaker 1: old w Thank you for your email. I appreciate you.

832
00:47:38,719 --> 00:47:41,440
Speaker 1: I appreciate all you guys. Please like and subscribe to

833
00:47:41,440 --> 00:47:43,600
Speaker 1: this podcast each and every week. It means a lot.

834
00:47:43,840 --> 00:47:46,280
Speaker 1: You can do it on the iHeartRadio app, Apple Podcasts,

835
00:47:46,280 --> 00:47:48,200
Speaker 1: wherever you get your podcast. I'll speak to you guys

836
00:47:48,200 --> 00:47:53,040
Speaker 1: on Thursday. Thank you,