1
00:00:05,160 --> 00:00:10,760
Speaker 1: Live from the Heartbeiner and the Crossroads of America. It's

2
00:00:10,840 --> 00:00:16,920
Speaker 1: Tony Katz Today. Well, hey there everybody, I am Andrew

3
00:00:17,000 --> 00:00:20,560
Speaker 1: Langer in for Tony Katz today on Tony Katz Today.

4
00:00:20,600 --> 00:00:22,599
Speaker 1: So glad I can join you and you can join

5
00:00:22,640 --> 00:00:26,880
Speaker 1: me on this Monday, the Monday of Christmas, week of

6
00:00:27,160 --> 00:00:31,200
Speaker 1: the Honukkah, and of course Festivus, the Festivus for the

7
00:00:31,200 --> 00:00:33,239
Speaker 1: rest of us, which is happening. That's why Tony's off,

8
00:00:33,240 --> 00:00:36,800
Speaker 1: by the way he is do you celebrate Festivus or

9
00:00:36,840 --> 00:00:39,800
Speaker 1: do you just observe it? I think you observe it. Yes,

10
00:00:39,880 --> 00:00:42,080
Speaker 1: there will be an airing of grievances here on the

11
00:00:42,120 --> 00:00:45,440
Speaker 1: show today. We got a great show. We're gonna be

12
00:00:45,520 --> 00:00:47,320
Speaker 1: joining them a little bit by Andrew Wilfer from the

13
00:00:47,400 --> 00:00:52,559
Speaker 1: National Taxpayers Union. He is their expert on economic migration

14
00:00:53,280 --> 00:00:56,480
Speaker 1: and how the various states are doing how as a

15
00:00:56,560 --> 00:00:59,680
Speaker 1: competitive federalism is faring in which states are dealing with

16
00:00:59,720 --> 00:01:02,880
Speaker 1: what who's going where? We got Rachel Moon. She is

17
00:01:02,960 --> 00:01:05,679
Speaker 1: a conservative activist, a pro Israel activist. She's going to

18
00:01:05,680 --> 00:01:07,880
Speaker 1: be joining us. I had to cost to meet her.

19
00:01:07,959 --> 00:01:12,040
Speaker 1: Last week. We got Kent Strang from Americans for Prosperity

20
00:01:12,160 --> 00:01:14,160
Speaker 1: is going to be joining us today. And then my

21
00:01:14,200 --> 00:01:18,520
Speaker 1: good buddy Tom Shatz from Citizens Against Government Waste to

22
00:01:18,640 --> 00:01:26,200
Speaker 1: talk about something fascinating happening, this entity called CMMI, and

23
00:01:26,240 --> 00:01:28,960
Speaker 1: you would be surprised, guys, you would be surprised. Maybe

24
00:01:28,959 --> 00:01:30,920
Speaker 1: you wouldn't be surprised. You might not be surprised to

25
00:01:31,000 --> 00:01:34,199
Speaker 1: learn that an entity which was set up to save

26
00:01:34,360 --> 00:01:37,800
Speaker 1: the federal taxpayers money but has actually cost the federal

27
00:01:37,840 --> 00:01:42,560
Speaker 1: taxpayers billions. If it were to be zeroed out, CBO

28
00:01:42,640 --> 00:01:48,920
Speaker 1: would score it as a negatively impacting revenue. Even though

29
00:01:48,920 --> 00:01:51,920
Speaker 1: it would save the taxpayers billions of dollars, CBO would

30
00:01:51,920 --> 00:01:55,040
Speaker 1: score it as costing taxpayers billions. We're going to find

31
00:01:55,040 --> 00:01:58,320
Speaker 1: out what the deal is with Tom Shatz in the meantime.

32
00:01:58,360 --> 00:02:00,640
Speaker 1: By the way, if you're out there and you're getting

33
00:02:00,680 --> 00:02:05,080
Speaker 1: your powerball tickets, save some for me. Please. The powerball

34
00:02:05,160 --> 00:02:08,840
Speaker 1: jackpot up to one point six billion now because no

35
00:02:09,000 --> 00:02:13,000
Speaker 1: numbers were called on Friday or Saturday Saturdays when it

36
00:02:13,040 --> 00:02:17,120
Speaker 1: was so let's go here, because the big thing in

37
00:02:17,160 --> 00:02:19,920
Speaker 1: the news over the weekend was the big turning point

38
00:02:20,000 --> 00:02:25,480
Speaker 1: USA America Fest and lots of discussion, lots of back

39
00:02:25,520 --> 00:02:28,480
Speaker 1: and forth about this. But I want to start here,

40
00:02:28,680 --> 00:02:32,280
Speaker 1: which is, of course, we had the meeting between Erica

41
00:02:32,360 --> 00:02:34,720
Speaker 1: Kirk and Candace Owen's was it last week? Is it

42
00:02:34,800 --> 00:02:42,119
Speaker 1: only last week? But Rob Schneider had some choice words.

43
00:02:42,600 --> 00:02:45,640
Speaker 1: Let's start with that. Let's go to cut number one landing.

44
00:02:46,400 --> 00:02:50,120
Speaker 2: I just I just heard that Candace Owen has proof

45
00:02:50,600 --> 00:02:54,120
Speaker 2: that the Venezuelan boats were blown up by the Zionist.

46
00:02:53,680 --> 00:02:54,560
Speaker 1: State of Israel.

47
00:02:56,680 --> 00:02:59,680
Speaker 2: And it's true because Candace had a dream about it.

48
00:03:01,880 --> 00:03:05,680
Speaker 2: All of Cannis's dreams come true, especially the dreams she

49
00:03:05,720 --> 00:03:07,960
Speaker 2: had when she was a little girl about one day

50
00:03:08,280 --> 00:03:11,040
Speaker 2: becoming the biggest drifter the Internet has ever seen.

51
00:03:12,200 --> 00:03:14,520
Speaker 1: All Right, we can hit it there. That was that's

52
00:03:14,600 --> 00:03:18,040
Speaker 1: fin lessons Rob Schneider Man, I love Rob Schneider. We

53
00:03:18,080 --> 00:03:19,920
Speaker 1: need to land We need to get Rob Schneider on

54
00:03:19,960 --> 00:03:24,200
Speaker 1: the air. That was. That was really good. Obviously, jad

55
00:03:24,320 --> 00:03:27,960
Speaker 1: Vance spoke yesterday lots of discussion about feuding in the

56
00:03:28,040 --> 00:03:31,760
Speaker 1: movement and about his comments about America as a Christian nation.

57
00:03:32,720 --> 00:03:35,600
Speaker 1: But I want to start with what he talked about

58
00:03:35,640 --> 00:03:38,840
Speaker 1: regarding the successes of the Trump administration. And we know

59
00:03:38,840 --> 00:03:40,440
Speaker 1: the President gave a speech last week. I don't know

60
00:03:40,440 --> 00:03:45,040
Speaker 1: what Tony said about it. If you read the speech,

61
00:03:45,480 --> 00:03:49,080
Speaker 1: you came away with a very different perspective than if

62
00:03:49,080 --> 00:03:52,800
Speaker 1: you watched the speech. But you know there are there

63
00:03:52,800 --> 00:03:55,240
Speaker 1: are lots to be cheering in terms of what's going

64
00:03:55,280 --> 00:03:58,560
Speaker 1: on in the American economy. The Vice President laid it out.

65
00:03:58,600 --> 00:04:02,600
Speaker 1: Let's play cut number two. There's still so much important

66
00:04:02,640 --> 00:04:03,040
Speaker 1: work to do.

67
00:04:03,120 --> 00:04:06,600
Speaker 3: My friends were barely a year into this administration, not

68
00:04:06,680 --> 00:04:09,880
Speaker 3: even a year into the administration. But I'm so proud

69
00:04:09,920 --> 00:04:13,040
Speaker 3: of the accomplishments of the President and the entire administration.

70
00:04:13,800 --> 00:04:18,000
Speaker 3: In just a year, we ended Joe Biden Kamala Harris's

71
00:04:18,000 --> 00:04:31,480
Speaker 3: border crisis. December marks seven months straight of zero releases

72
00:04:31,560 --> 00:04:40,839
Speaker 3: at the southern border. More than two point five million

73
00:04:40,880 --> 00:04:44,320
Speaker 3: illegal immigrants have left the United States, the first time

74
00:04:44,720 --> 00:04:48,799
Speaker 3: in over fifty years that we have had negative net migration.

75
00:04:49,040 --> 00:04:55,680
Speaker 1: And it's just the start. When you restore.

76
00:04:55,400 --> 00:04:58,640
Speaker 3: Sanity at the border, it shows up everywhere else. Rent

77
00:04:58,680 --> 00:05:01,560
Speaker 3: prices are dropping four months in a row, and more

78
00:05:01,720 --> 00:05:06,400
Speaker 3: native born Americans are working than ever before. Kamala Harrison

79
00:05:06,480 --> 00:05:10,320
Speaker 3: opened the border and destroyed the economy. The Trump administration

80
00:05:10,520 --> 00:05:14,640
Speaker 3: gave you net negative migration and much more job creation.

81
00:05:14,880 --> 00:05:21,960
Speaker 1: We can end it there, and so much stems from that,

82
00:05:23,120 --> 00:05:26,120
Speaker 1: and there's a lot there some more discussion as to

83
00:05:26,839 --> 00:05:29,200
Speaker 1: you know, something land and I hate to jump down,

84
00:05:29,760 --> 00:05:32,760
Speaker 1: but let's go down if you can. To cut number

85
00:05:32,760 --> 00:05:35,440
Speaker 1: twenty three. Here's Kevin Hassett from the National Economics Council.

86
00:05:36,080 --> 00:05:39,520
Speaker 1: Here he is talking about the Bidenomics mess. Let's play

87
00:05:39,520 --> 00:05:40,520
Speaker 1: cut number twenty three if.

88
00:05:40,400 --> 00:05:44,200
Speaker 4: You would well already what we've seen is after four

89
00:05:44,279 --> 00:05:47,560
Speaker 4: years under the Biden administration, where real incomes went down

90
00:05:47,600 --> 00:05:50,279
Speaker 4: by three thousand dollars for the typical family, they've gone

91
00:05:50,320 --> 00:05:53,320
Speaker 4: up by thirteen hundred dollars this year. Now, it doesn't

92
00:05:53,320 --> 00:05:56,320
Speaker 4: mean that you know, Biden dig he really dug a

93
00:05:56,320 --> 00:05:59,560
Speaker 4: big hole. Doesn't mean that we've fixed all the problems

94
00:05:59,560 --> 00:06:02,240
Speaker 4: that Joe by and created, but were making great progress.

95
00:06:02,240 --> 00:06:04,000
Speaker 4: And one of the things that I think I really

96
00:06:04,120 --> 00:06:07,279
Speaker 4: liked most about the President's speeches this week, but I'm biased,

97
00:06:07,279 --> 00:06:08,880
Speaker 4: I'm an economist, is he put up a lot of

98
00:06:08,960 --> 00:06:11,960
Speaker 4: charts to show people like why they should truly believe

99
00:06:12,000 --> 00:06:14,320
Speaker 4: that we're going to make lots of progress out affordability. So,

100
00:06:14,360 --> 00:06:16,960
Speaker 4: for example, he put up a chart that showed all

101
00:06:17,000 --> 00:06:20,880
Speaker 4: the electric power generation plants that we've approved that it'll

102
00:06:20,920 --> 00:06:22,800
Speaker 4: be in place over the next year or two. And

103
00:06:22,839 --> 00:06:24,880
Speaker 4: he had a big map in the United States and

104
00:06:25,000 --> 00:06:28,279
Speaker 4: showed like I think it was sixteen hundred new power plants,

105
00:06:28,320 --> 00:06:30,760
Speaker 4: which is like, that's how you get electricity prices down, right,

106
00:06:30,800 --> 00:06:33,040
Speaker 4: So you don't just talk about it all right, let.

107
00:06:32,960 --> 00:06:35,479
Speaker 1: Me get into there. That is how you would normally

108
00:06:35,480 --> 00:06:39,360
Speaker 1: get electricity prices down. But one of the real concerns

109
00:06:39,400 --> 00:06:43,240
Speaker 1: that I have moving forward is how many of these

110
00:06:43,279 --> 00:06:49,239
Speaker 1: states have rate setting agencies that set the electric power rates,

111
00:06:49,279 --> 00:06:51,720
Speaker 1: and how many of those states are in you know,

112
00:06:51,760 --> 00:06:56,039
Speaker 1: are democratically controlled. How many of these rate setting boards

113
00:06:56,320 --> 00:07:00,400
Speaker 1: are democratically controlled, Because what the Vice President was talking

114
00:07:00,480 --> 00:07:03,560
Speaker 1: about and what Kevin Hassett was talking about, it really

115
00:07:03,680 --> 00:07:05,600
Speaker 1: is and this is going to sound like tinfoil hat

116
00:07:05,640 --> 00:07:09,240
Speaker 1: conspiracy theorizing, and it's not. I mean, this is this

117
00:07:09,279 --> 00:07:11,440
Speaker 1: is not me sort of talking about people in smokefield

118
00:07:11,520 --> 00:07:15,280
Speaker 1: rooms sort of making decisions. This is just about decisions

119
00:07:15,320 --> 00:07:19,120
Speaker 1: that were being made by the Biden administration and Democrats generally,

120
00:07:19,480 --> 00:07:22,880
Speaker 1: and what happens what happens, you know, with the American

121
00:07:22,920 --> 00:07:27,440
Speaker 1: economy when you kill nearly one hundred million if not

122
00:07:27,520 --> 00:07:30,680
Speaker 1: over one hundred million chickens, which is what happened in

123
00:07:30,720 --> 00:07:33,800
Speaker 1: the waning days of the Biden administration. Both chicken and

124
00:07:33,840 --> 00:07:36,720
Speaker 1: egg prices. I'm not making a pun here. Both chicken

125
00:07:36,720 --> 00:07:41,120
Speaker 1: and egg prices skyrocket, that's what we saw. And both

126
00:07:41,200 --> 00:07:43,920
Speaker 1: prices are coming down. Why because we're not killing tens

127
00:07:44,120 --> 00:07:46,080
Speaker 1: of millions, if not out more than one hundred million

128
00:07:46,200 --> 00:07:51,040
Speaker 1: chickens at a time. When you extract more gas, when

129
00:07:51,080 --> 00:07:55,280
Speaker 1: you refine more gas, when you signal to the petrochemical

130
00:07:55,320 --> 00:07:57,840
Speaker 1: industry that more gas is going to be coming in

131
00:07:57,880 --> 00:08:00,000
Speaker 1: and it's going to be easier to refine that gas,

132
00:08:01,320 --> 00:08:03,760
Speaker 1: then gas prices are going to come down. I don't

133
00:08:03,800 --> 00:08:06,760
Speaker 1: know how much a cost where you are. I know

134
00:08:06,880 --> 00:08:09,280
Speaker 1: where I am and the particular brand of gas that

135
00:08:09,400 --> 00:08:14,280
Speaker 1: I buy. You know, I buy an ethanol blended eighty

136
00:08:14,320 --> 00:08:17,840
Speaker 1: eight octane gas at a a with a regional chain.

137
00:08:19,000 --> 00:08:22,080
Speaker 1: I paid two twenty nine a gallon when I filled

138
00:08:22,120 --> 00:08:26,080
Speaker 1: up my tank on Saturday. That is that is astounding,

139
00:08:26,720 --> 00:08:30,600
Speaker 1: And I know regular gasoline is slightly higher than that.

140
00:08:31,480 --> 00:08:34,600
Speaker 1: At this particular gas station, it was I want to say,

141
00:08:34,840 --> 00:08:37,680
Speaker 1: in the two fifty range, but what do they say?

142
00:08:37,800 --> 00:08:41,960
Speaker 1: Forty three states out of fifty have gasoline under three

143
00:08:42,000 --> 00:08:48,680
Speaker 1: dollars a gallon. These things have an impact, and we

144
00:08:48,760 --> 00:08:51,040
Speaker 1: have to be talking about it. And what what I

145
00:08:51,360 --> 00:08:56,640
Speaker 1: what you know? The converse to what Joe Biden warned

146
00:08:56,720 --> 00:08:59,640
Speaker 1: way way back when. Remember Joe Biden at one point

147
00:08:59,679 --> 00:09:03,440
Speaker 1: was in the way Joe Biden would carp was carping

148
00:09:03,520 --> 00:09:06,320
Speaker 1: about people being able to drive down the road and

149
00:09:06,520 --> 00:09:09,760
Speaker 1: see gas prices on the big signs of the gas station.

150
00:09:11,040 --> 00:09:13,320
Speaker 1: I wish people couldn't see that, right because it's a

151
00:09:13,360 --> 00:09:17,000
Speaker 1: constant reminder of how Joe Biden and Kamala Harris were

152
00:09:17,000 --> 00:09:22,040
Speaker 1: messing up the economy. The converse is largely true. People

153
00:09:22,160 --> 00:09:24,600
Speaker 1: know when they go to the pump and they see

154
00:09:25,600 --> 00:09:30,360
Speaker 1: less expensive gas. That has an impact, even if they're

155
00:09:30,400 --> 00:09:32,800
Speaker 1: being told that things are not right with the economy.

156
00:09:32,840 --> 00:09:36,800
Speaker 1: And then there are ripple effects that happen. As the

157
00:09:36,880 --> 00:09:40,040
Speaker 1: Vice President said, as Kevin has Hat said, real wages

158
00:09:40,080 --> 00:09:44,240
Speaker 1: are going up, rents are coming down. As we deal

159
00:09:44,280 --> 00:09:48,280
Speaker 1: with the permitting issues and the ability to source materials

160
00:09:48,320 --> 00:09:50,960
Speaker 1: for building here in the United States, the cost of

161
00:09:50,960 --> 00:09:54,040
Speaker 1: building housing is going to come down. I just filed

162
00:09:54,040 --> 00:09:56,720
Speaker 1: comments with an agency about them. We're going to continue

163
00:09:56,760 --> 00:09:59,760
Speaker 1: to have this discussion because I want to talk about something,

164
00:09:59,760 --> 00:10:04,840
Speaker 1: really talk about conspiracy theorizing. I want to talk about something.

165
00:10:04,920 --> 00:10:09,480
Speaker 1: Jasmine Crockett the right now, the presumptive Democratic nominee for

166
00:10:09,640 --> 00:10:13,600
Speaker 1: Senate in Texas. She had a whopper of a conspiracy

167
00:10:13,640 --> 00:10:16,160
Speaker 1: theory over the weekend in the wake of the Vice

168
00:10:16,160 --> 00:10:19,320
Speaker 1: President's speech. I want to hear from you. Facebook dot com,

169
00:10:19,320 --> 00:10:21,960
Speaker 1: slash Andrew Langer shows how you get a hold of me.

170
00:10:22,840 --> 00:10:26,880
Speaker 1: You can also call us here if you want no,

171
00:10:27,080 --> 00:10:28,520
Speaker 1: you know something, I don't have the number here, handy,

172
00:10:28,600 --> 00:10:31,320
Speaker 1: let me let here we go, but you can message

173
00:10:31,360 --> 00:10:33,720
Speaker 1: me on Facebook, Facebook dot com, slash Andrew Langer Show.

174
00:10:33,840 --> 00:10:35,760
Speaker 1: You can add me on Twitter. I still call it

175
00:10:35,800 --> 00:10:39,440
Speaker 1: Twitter at Andrew Underscore Langer. I am Andrew Langer. This

176
00:10:39,559 --> 00:10:42,440
Speaker 1: is Tony Katz Today. We are back. I am Andrew

177
00:10:42,520 --> 00:10:45,760
Speaker 1: Langer and for Tony Katz today. Happy Hanaka to all

178
00:10:45,800 --> 00:10:48,880
Speaker 1: who celebrate, Happy Festivus, for those of you who trying

179
00:10:48,920 --> 00:10:52,240
Speaker 1: to noodle through exactly how you celebrate festivals. And of

180
00:10:52,240 --> 00:10:55,480
Speaker 1: course it's Christmas. You know I meant to I'm mental

181
00:10:55,559 --> 00:10:57,640
Speaker 1: and I meant to send you Christmas music. Tomorrow. I

182
00:10:57,640 --> 00:11:00,480
Speaker 1: will have Christmas music for you because I've got a

183
00:11:00,480 --> 00:11:03,240
Speaker 1: whole I got a whole list of fun stuff that

184
00:11:03,640 --> 00:11:05,960
Speaker 1: I want to play in any case, I'm Andrew Langer

185
00:11:05,960 --> 00:11:07,599
Speaker 1: in for Tony Kats today, going to be joining in

186
00:11:07,640 --> 00:11:10,160
Speaker 1: a couple of minutes by Andrew Wilford from the National

187
00:11:10,200 --> 00:11:14,520
Speaker 1: Taxpayers Union. He's director of their Interstate Commerce Initiative. But

188
00:11:14,600 --> 00:11:16,800
Speaker 1: I want to go here. So obviously, as we've been

189
00:11:16,840 --> 00:11:18,800
Speaker 1: talking about, you probably watched a lot of it over

190
00:11:18,800 --> 00:11:22,560
Speaker 1: the weekend. Turning Point USA had their America Fest. I

191
00:11:22,679 --> 00:11:25,360
Speaker 1: was not out there. I had way too much policy

192
00:11:25,400 --> 00:11:28,760
Speaker 1: work to do. If you don't know, I wear a hat.

193
00:11:28,840 --> 00:11:31,160
Speaker 1: I do policy work for SEAPAC, the folks who put

194
00:11:31,160 --> 00:11:35,000
Speaker 1: the big conference on every year. Next Seapack happening in

195
00:11:35,120 --> 00:11:39,280
Speaker 1: Dallas in late March. I do healthcare policy, regulatory policy,

196
00:11:39,520 --> 00:11:43,040
Speaker 1: and it's a busy time of the year getting stuff done,

197
00:11:43,559 --> 00:11:45,680
Speaker 1: you know, even though it's the holiday week. I got

198
00:11:45,800 --> 00:11:49,480
Speaker 1: three different sets of regulatory comments to file, so I've

199
00:11:49,480 --> 00:11:51,920
Speaker 1: been working on those, so I couldn't get out to

200
00:11:52,480 --> 00:11:58,120
Speaker 1: the TPUSA event. I had looked just incredible, I really

201
00:11:58,200 --> 00:12:03,480
Speaker 1: really is. The production. The production values were very high.

202
00:12:03,720 --> 00:12:06,320
Speaker 1: The vice president capped it off. I will get into

203
00:12:06,400 --> 00:12:09,560
Speaker 1: what you don junior playing the message from President Trump.

204
00:12:10,160 --> 00:12:12,920
Speaker 1: But Vice President Vance had this to say, let's play

205
00:12:12,920 --> 00:12:13,560
Speaker 1: cut number three.

206
00:12:17,280 --> 00:12:20,400
Speaker 3: But ask yourself, what do all of these people have

207
00:12:20,640 --> 00:12:24,240
Speaker 3: in common? And the unfortunate answer is they are puppets.

208
00:12:24,559 --> 00:12:27,640
Speaker 3: They don't actually matter. They are cogs in a machine

209
00:12:28,040 --> 00:12:31,200
Speaker 3: that wants to make you poor, that wants to make

210
00:12:31,280 --> 00:12:34,960
Speaker 3: you less powerful, and wants to make you less safe

211
00:12:35,240 --> 00:12:38,840
Speaker 3: in the country your ancestors built. And while President Trump

212
00:12:38,920 --> 00:12:39,680
Speaker 3: and I are doing.

213
00:12:39,600 --> 00:12:43,120
Speaker 1: Everything you can to the landing. So yeah, so he's

214
00:12:43,120 --> 00:12:45,240
Speaker 1: saying the Democrats, and it gets into what I'm saying,

215
00:12:45,320 --> 00:12:49,200
Speaker 1: right if if the Democrats, it's basic what they call

216
00:12:49,640 --> 00:12:54,199
Speaker 1: Marxist or Hegelian dialectic. You create a problem, you exacerbate

217
00:12:54,240 --> 00:12:58,320
Speaker 1: the problem, and then government becomes the solution. Right, you

218
00:12:58,440 --> 00:13:01,240
Speaker 1: make the streets less safe. So now we have to

219
00:13:01,280 --> 00:13:03,240
Speaker 1: take away your guns. Now we have to do this.

220
00:13:03,320 --> 00:13:05,360
Speaker 1: Now we have to do that. We're not empowering people

221
00:13:05,440 --> 00:13:09,320
Speaker 1: to act on their own behalf. We make things more expensive,

222
00:13:09,360 --> 00:13:11,880
Speaker 1: therefore we need to subsidize it elsewhere. I got a

223
00:13:11,880 --> 00:13:14,040
Speaker 1: big problem with that, regardless of who does it. By

224
00:13:14,040 --> 00:13:17,600
Speaker 1: the way, so he calls Democrats cogs, he calls them puppets.

225
00:13:18,320 --> 00:13:22,640
Speaker 1: Jasmine Crockett didn't like that. She was on M Snow.

226
00:13:22,679 --> 00:13:25,520
Speaker 1: By the way, you know MSNBC, or some folks called

227
00:13:25,640 --> 00:13:30,040
Speaker 1: ms DNC, MSNBC is now ms now. I call it

228
00:13:30,280 --> 00:13:33,640
Speaker 1: M snow just because it's a very strange ms now.

229
00:13:33,760 --> 00:13:36,080
Speaker 1: I call it M Snow. So Jasua Crockett was on

230
00:13:36,360 --> 00:13:38,880
Speaker 1: M Snow and she had this to say, let's go

231
00:13:38,880 --> 00:13:40,040
Speaker 1: ahead and play cut number four.

232
00:13:40,600 --> 00:13:43,040
Speaker 5: And that is actually what they are fearful of, is

233
00:13:43,120 --> 00:13:46,920
Speaker 5: my authenticity because it rings true with every single American,

234
00:13:46,960 --> 00:13:48,200
Speaker 5: whether they're a Texan or not.

235
00:13:48,720 --> 00:13:51,840
Speaker 6: It rings true that I am fighting for real, everyday people.

236
00:13:52,240 --> 00:13:54,920
Speaker 5: And instead of talking about policy, when you're talking about

237
00:13:54,960 --> 00:13:58,160
Speaker 5: the record speaks for itself. Baby, Let's talk about your record,

238
00:13:58,360 --> 00:14:00,839
Speaker 5: because the only reason you're the vice president is because

239
00:14:00,880 --> 00:14:04,040
Speaker 5: the current president tried to have his last president killed.

240
00:14:04,400 --> 00:14:06,280
Speaker 5: Let's talk about qualifications.

241
00:14:07,080 --> 00:14:11,679
Speaker 1: She said, what I mean, I just I sat there

242
00:14:11,679 --> 00:14:13,320
Speaker 1: and I heard this, and I'm like, Okay, we're gonna go.

243
00:14:13,360 --> 00:14:15,160
Speaker 1: We can talk about Jasmin Crockett. By the way, if

244
00:14:15,160 --> 00:14:17,800
Speaker 1: you don't know, Jasmin Crockett is a Democratic Member of

245
00:14:17,800 --> 00:14:21,560
Speaker 1: Congress from Texas. She is running for the US Senate

246
00:14:21,640 --> 00:14:26,240
Speaker 1: in Texas as I said on Newsmax the other day,

247
00:14:27,000 --> 00:14:31,080
Speaker 1: she's like Beto O'Rourke without all the mass appeal. Nobody.

248
00:14:31,160 --> 00:14:34,359
Speaker 1: By the way, Congresswoman of Crockett is talking about your authenticity,

249
00:14:34,640 --> 00:14:38,800
Speaker 1: especially when accent changes depending on which audience you're talking to.

250
00:14:39,240 --> 00:14:40,840
Speaker 1: But Lindon, I want you to play that again. I

251
00:14:40,880 --> 00:14:42,760
Speaker 1: want you to hear what she's saying. So she's going

252
00:14:42,800 --> 00:14:48,160
Speaker 1: after Vice President Vance his comments at turning point, talking

253
00:14:48,200 --> 00:14:54,200
Speaker 1: about the successes of the Trump presidency Trump two. But

254
00:14:54,320 --> 00:14:56,840
Speaker 1: then she gets in a very strange thing. Let's play

255
00:14:56,880 --> 00:14:57,680
Speaker 1: cut number four again.

256
00:14:58,120 --> 00:15:00,600
Speaker 5: And that is actually what they are fearful of, is

257
00:15:00,640 --> 00:15:04,440
Speaker 5: my authenticity because it rings true with every single American,

258
00:15:04,480 --> 00:15:05,720
Speaker 5: whether they're a Texan or not.

259
00:15:06,280 --> 00:15:07,480
Speaker 6: It rings true that I.

260
00:15:07,400 --> 00:15:10,840
Speaker 5: Am fighting for real, everyday people. And instead of talking

261
00:15:10,840 --> 00:15:13,760
Speaker 5: about policy, when you're talking about the record, speaks for yourself.

262
00:15:14,120 --> 00:15:16,360
Speaker 6: Baby, Let's talk about your record, because.

263
00:15:16,160 --> 00:15:18,480
Speaker 5: The only reason you're the vice president is because the

264
00:15:18,520 --> 00:15:21,560
Speaker 5: current president tried to have his last president killed.

265
00:15:21,920 --> 00:15:23,720
Speaker 6: Let's talk about qualifications.

266
00:15:25,560 --> 00:15:29,160
Speaker 1: I don't even Here's the thing, right. Sometimes sometimes you

267
00:15:29,200 --> 00:15:33,480
Speaker 1: can kind of noodle through and figure out what event

268
00:15:33,600 --> 00:15:38,400
Speaker 1: she's talking about. We know, you know, Frankly to help

269
00:15:38,480 --> 00:15:41,000
Speaker 1: drop for right, right, Lisa was looking at looking at

270
00:15:41,080 --> 00:15:46,680
Speaker 1: investigating the Biden family for corruption. Absolutely true. We know

271
00:15:46,960 --> 00:15:50,320
Speaker 1: that the President has called for an investigation into various

272
00:15:50,320 --> 00:15:56,120
Speaker 1: people who are serving to actively undermine the military, and

273
00:15:56,160 --> 00:15:58,680
Speaker 1: one can discuss whether or not that is trees in

274
00:15:58,760 --> 00:16:01,000
Speaker 1: this activity. I don't think it's treason this per se,

275
00:16:01,600 --> 00:16:04,640
Speaker 1: but we can have that discussion. But I don't think

276
00:16:04,720 --> 00:16:09,080
Speaker 1: there's been any moment where Donald Trump. Now remember Joe

277
00:16:09,120 --> 00:16:13,240
Speaker 1: Biden threatened multiple times. You know, we're constantly talking about

278
00:16:14,040 --> 00:16:17,200
Speaker 1: talking about taking Donald Trump out behind the school and

279
00:16:17,280 --> 00:16:21,560
Speaker 1: the schoolyard and punching him in the nose, stirring this

280
00:16:21,760 --> 00:16:27,640
Speaker 1: climate of violence against Donald Trump, who incidentally, there were

281
00:16:27,800 --> 00:16:31,680
Speaker 1: two assassination attempts against Donald Trump during the twenty twenty

282
00:16:31,680 --> 00:16:39,040
Speaker 1: four campaign. So I genuinely have no idea what Jasmine

283
00:16:39,120 --> 00:16:45,280
Speaker 1: Crockett is referring to in that statement, President Trump tried

284
00:16:45,280 --> 00:16:49,640
Speaker 1: to have bud Joe Biden killed. What please to explain

285
00:16:50,080 --> 00:16:53,720
Speaker 1: what that means? And of course m snow the ms now.

286
00:16:54,480 --> 00:16:57,000
Speaker 1: It didn't follow up by saying wait, wait, wait time

287
00:16:57,040 --> 00:16:59,960
Speaker 1: out for a second. You know, we've got Rob Schneider

288
00:17:00,200 --> 00:17:03,600
Speaker 1: asking about Candie Owens and other people asking about Candas

289
00:17:03,600 --> 00:17:07,960
Speaker 1: Owens and her conspiracy theories regarding the assassination of of

290
00:17:07,960 --> 00:17:12,520
Speaker 1: of Charlie Kirk. But you know, you've now made a whopper,

291
00:17:13,320 --> 00:17:17,800
Speaker 1: a whopper of an accusation against Donald Trump that he

292
00:17:17,960 --> 00:17:21,000
Speaker 1: tried to have was working to have Joe Biden killed.

293
00:17:23,200 --> 00:17:25,320
Speaker 1: And I'm not gonna play the whole thing a third time,

294
00:17:25,600 --> 00:17:27,679
Speaker 1: but I want you to hear something else that she said.

295
00:17:28,640 --> 00:17:32,000
Speaker 1: Let's we may get more into this tomorrow too, but Landon,

296
00:17:32,000 --> 00:17:33,200
Speaker 1: I want you to play it one more time, play

297
00:17:33,240 --> 00:17:34,639
Speaker 1: Cup four one more time for me, please.

298
00:17:35,200 --> 00:17:37,679
Speaker 5: And that is actually what they are fearful of is

299
00:17:37,720 --> 00:17:41,120
Speaker 5: my authenticity because it rings true with every single.

300
00:17:40,960 --> 00:17:44,159
Speaker 1: Part mare stop it there what they're they're they're scared

301
00:17:44,200 --> 00:17:47,159
Speaker 1: of my authenticity. You know, this is something that the

302
00:17:47,280 --> 00:17:50,679
Speaker 1: Democrats and it's not just Jasmine Crockett have used this

303
00:17:50,720 --> 00:17:53,320
Speaker 1: for Oh man, they opposed me because they're scared of X,

304
00:17:53,440 --> 00:17:55,400
Speaker 1: Y and Z. Right. This was Tim Wallas a couple

305
00:17:55,440 --> 00:17:58,920
Speaker 1: of weeks ago. Oh they're threatened by my masculinity. No,

306
00:18:00,560 --> 00:18:03,280
Speaker 1: Tim Walls. No, we're going to get into Tim Walls

307
00:18:03,280 --> 00:18:06,280
Speaker 1: and what's going on in Minnesota in a minute. Nobody

308
00:18:06,400 --> 00:18:08,880
Speaker 1: is threatened by your masculinity. Nobody is threatened by your

309
00:18:08,880 --> 00:18:12,040
Speaker 1: masculinity last year when you were running for Vice president

310
00:18:12,080 --> 00:18:14,880
Speaker 1: of the United States. Certainly nobody's been threatened by your

311
00:18:14,880 --> 00:18:17,679
Speaker 1: masculinity when you were in Congress, or threatened by your

312
00:18:17,680 --> 00:18:20,199
Speaker 1: masculinity when you were when you were running for governor.

313
00:18:20,520 --> 00:18:25,200
Speaker 1: No Jas mc crockett. Nobody is threatened by your your authenticity.

314
00:18:26,080 --> 00:18:30,040
Speaker 1: We are threatened by your by your stupidity. With Tim Walls,

315
00:18:30,040 --> 00:18:34,320
Speaker 1: we're threatened by his, by by his well, frankly, by

316
00:18:34,359 --> 00:18:38,280
Speaker 1: his corruption. You know, I mean, this was this was

317
00:18:38,280 --> 00:18:43,000
Speaker 1: the situation. I mean, yeah, he's an idiot that that's

318
00:18:43,040 --> 00:18:47,919
Speaker 1: absolutely true, without a doubt. But he was responsible, and

319
00:18:47,920 --> 00:18:50,400
Speaker 1: we're going to get into this. As I said, he

320
00:18:50,640 --> 00:18:56,399
Speaker 1: his administration turned a blind eye towards rampant corruption, the

321
00:18:56,560 --> 00:19:00,919
Speaker 1: rampant fleecing of both the Minnesota and the American taxpayer

322
00:19:01,000 --> 00:19:04,359
Speaker 1: billions of dollars in taxpayer money, whether it's three billion,

323
00:19:04,359 --> 00:19:09,080
Speaker 1: whether it's nine billion, either way, Tim Walls was made

324
00:19:09,160 --> 00:19:14,720
Speaker 1: aware of this corruption and turned a blind eye. Nobody's

325
00:19:14,720 --> 00:19:19,919
Speaker 1: asked how many times Tim Walls go to China? What

326
00:19:20,080 --> 00:19:21,960
Speaker 1: happened when he was a Joe? Why is Tim Walls

327
00:19:22,000 --> 00:19:27,040
Speaker 1: why does he love China so much. No, we're not

328
00:19:27,119 --> 00:19:30,360
Speaker 1: threatened by your masculinity, Jasmine Crockett. We're not threatened by

329
00:19:30,359 --> 00:19:34,720
Speaker 1: your authenticity because you're just not authentic. Listen, when we

330
00:19:34,800 --> 00:19:38,320
Speaker 1: come back, Andrew Wilford from the National Taxpayers Union is

331
00:19:38,320 --> 00:19:40,560
Speaker 1: going to be joining us. I am Andrew Langer in

332
00:19:40,640 --> 00:19:43,160
Speaker 1: for Tony Kats Today, and this, of course is Tony

333
00:19:43,200 --> 00:19:48,120
Speaker 1: Kats Today. So as we're talking about the economy and

334
00:19:48,359 --> 00:19:51,639
Speaker 1: what's going on in the country, obviously lots of changes

335
00:19:51,680 --> 00:19:55,080
Speaker 1: happening at the state level. We're talking about the states

336
00:19:55,080 --> 00:19:59,920
Speaker 1: as laboratories of democracy. It's the concept of competitive federalism.

337
00:20:00,080 --> 00:20:03,200
Speaker 1: People can make changes, States can make changes to attract

338
00:20:03,520 --> 00:20:06,040
Speaker 1: sometimes they repel people. Joining us right now is a

339
00:20:06,040 --> 00:20:08,240
Speaker 1: guy named Andrew Wilford. He is the director of the

340
00:20:08,280 --> 00:20:11,280
Speaker 1: Interstate Commerce Initiative. I love that name, by the way,

341
00:20:11,280 --> 00:20:15,080
Speaker 1: at the National Taxpayers Union, yet another great, great thing,

342
00:20:15,119 --> 00:20:20,480
Speaker 1: you guys, Pete sepp Is is heading up. It sounds

343
00:20:20,520 --> 00:20:24,399
Speaker 1: like a part of the Marvel Universe, the Interstate Commerce Initiative. Andrew,

344
00:20:24,680 --> 00:20:26,520
Speaker 1: talk to us about about what's going on. Talk to

345
00:20:26,640 --> 00:20:28,880
Speaker 1: us about the initiative, but talk to us about what's

346
00:20:28,880 --> 00:20:29,840
Speaker 1: going on. In these states.

347
00:20:31,440 --> 00:20:33,679
Speaker 7: Yeah, I don't know if we're as exciting as the

348
00:20:33,680 --> 00:20:40,160
Speaker 7: Marvel Universe, but aid it's great man, certainly some you know,

349
00:20:40,240 --> 00:20:45,200
Speaker 7: some very revealing things we're finding. So the Slaves Report,

350
00:20:45,240 --> 00:20:49,800
Speaker 7: we're looking at how frequently tax payers move from one

351
00:20:49,840 --> 00:20:53,000
Speaker 7: state to another, in which states they're they're they're going towards.

352
00:20:54,000 --> 00:20:56,119
Speaker 7: And you know, we tried to put it in a

353
00:20:56,160 --> 00:20:59,720
Speaker 7: more sort of accessible way of thinking about this because

354
00:20:59,760 --> 00:21:01,440
Speaker 7: you can, you know, you can see large numbers and

355
00:21:01,480 --> 00:21:04,120
Speaker 7: see hundreds of thousands, tens of thousands of people are moving.

356
00:21:04,119 --> 00:21:07,199
Speaker 7: What does that mean? And in this case, you know,

357
00:21:07,200 --> 00:21:09,240
Speaker 7: we found in the states like California and New York

358
00:21:09,320 --> 00:21:13,679
Speaker 7: are losing a taxpayer about every two minutes. Well, Florida

359
00:21:13,760 --> 00:21:16,880
Speaker 7: is gaining one in that period. And I should note

360
00:21:16,920 --> 00:21:21,480
Speaker 7: that that's counting, that's counting moves the other direction. So, right,

361
00:21:21,920 --> 00:21:24,199
Speaker 7: it's not just how often someone's leaving California, it's how

362
00:21:24,240 --> 00:21:27,240
Speaker 7: often someone's leaving California, even after you factor factor in

363
00:21:27,280 --> 00:21:29,000
Speaker 7: people coming right.

364
00:21:29,000 --> 00:21:33,240
Speaker 1: Right, it's the issue of net versus gross right, right, yeah, right,

365
00:21:33,320 --> 00:21:36,440
Speaker 1: because you can have two hundred thousand people move into

366
00:21:36,440 --> 00:21:38,399
Speaker 1: a state. Hey, we'll look at this, two hundred thousand

367
00:21:38,400 --> 00:21:41,159
Speaker 1: people move to California, but if three hundred thousand left,

368
00:21:41,760 --> 00:21:44,720
Speaker 1: that's that's it's a net loss. And I know it's

369
00:21:44,720 --> 00:21:47,840
Speaker 1: more than that. I mean, we're not surprised at this.

370
00:21:47,960 --> 00:21:49,960
Speaker 1: We've been talking about it. What is it? U haul

371
00:21:50,080 --> 00:21:53,480
Speaker 1: does their annual survey of this in terms of U

372
00:21:53,480 --> 00:21:57,199
Speaker 1: haul rentals? Do we know? Are you guys charting? You

373
00:21:57,240 --> 00:22:00,439
Speaker 1: know where they're going? For like, like when California lose somebody,

374
00:22:00,480 --> 00:22:03,000
Speaker 1: they're going to Arizona, They're going to Nevada. Where are

375
00:22:03,000 --> 00:22:05,040
Speaker 1: they going? Same thing with New I mean, obviously we

376
00:22:05,080 --> 00:22:06,959
Speaker 1: can make the joke about New York and Florida, but

377
00:22:07,000 --> 00:22:08,200
Speaker 1: do we know where they're all going?

378
00:22:09,600 --> 00:22:12,480
Speaker 7: Yeah? We do, and you know we have that state

379
00:22:12,520 --> 00:22:17,800
Speaker 7: by state on the broader sense. I mean, the states

380
00:22:18,040 --> 00:22:19,960
Speaker 7: they're all leaving and the states are all going. The

381
00:22:20,520 --> 00:22:23,400
Speaker 7: top ones kind of appear no matter what state you're

382
00:22:23,400 --> 00:22:27,080
Speaker 7: looking at. So sure, for California, the top states are

383
00:22:27,119 --> 00:22:30,280
Speaker 7: going to our Texas and Florida. It's not you know,

384
00:22:30,560 --> 00:22:32,320
Speaker 7: I mean a lot of them go to Arizona, but

385
00:22:32,840 --> 00:22:36,040
Speaker 7: the Texas and Florida still clearly end up being the

386
00:22:36,359 --> 00:22:39,400
Speaker 7: biggest destinations. And the same is true for New York

387
00:22:39,440 --> 00:22:42,280
Speaker 7: so halfway across the country. It's all the way across

388
00:22:42,280 --> 00:22:43,720
Speaker 7: the country, right.

389
00:22:43,880 --> 00:22:48,320
Speaker 1: And so the problem then becomes the issue of people

390
00:22:48,440 --> 00:22:52,879
Speaker 1: fleeing bad policies and bad policy outcomes in states like

391
00:22:52,920 --> 00:22:56,440
Speaker 1: New York, but then taking those bad policies with them

392
00:22:56,480 --> 00:22:59,520
Speaker 1: when they go to the new state, you know, And

393
00:22:59,560 --> 00:23:03,560
Speaker 1: this accounts in some way for some of the shifting

394
00:23:03,760 --> 00:23:07,280
Speaker 1: you know, marginally red states that are now turning purple.

395
00:23:07,359 --> 00:23:09,760
Speaker 1: I mean, Virginia is a really good example. It's not just,

396
00:23:09,880 --> 00:23:13,520
Speaker 1: for instance, it's not just that we have the federal

397
00:23:13,560 --> 00:23:16,000
Speaker 1: government you know in DC right there, and so many

398
00:23:16,000 --> 00:23:19,560
Speaker 1: federal agencies in northern Virginia. But elsewhere in Virginia, you're

399
00:23:19,600 --> 00:23:25,000
Speaker 1: seeing the climate, the political climate shift as more folks

400
00:23:25,040 --> 00:23:28,439
Speaker 1: from New York, New Jersey, and Connecticut move to you know,

401
00:23:28,840 --> 00:23:33,640
Speaker 1: rural Virginia, rural North Carolina and take those bad possible

402
00:23:33,880 --> 00:23:37,080
Speaker 1: or Florida talk about that, Yeah, I mean.

403
00:23:37,000 --> 00:23:41,200
Speaker 7: So North Carolina is really number is generally number three

404
00:23:41,400 --> 00:23:44,360
Speaker 7: after Florida and Texas in terms of you know, gaining

405
00:23:44,520 --> 00:23:47,600
Speaker 7: gaining new residents. I think Florida, Florida, and Texas kind

406
00:23:47,600 --> 00:23:51,040
Speaker 7: of have enough of enough of a population buffer that

407
00:23:51,080 --> 00:23:53,200
Speaker 7: there they've been a little insulated from this. But North

408
00:23:53,240 --> 00:23:57,000
Speaker 7: Carolina has become a very purple state, right, Arizona kind

409
00:23:57,000 --> 00:24:00,000
Speaker 7: of the same same thing. They're number six on our report.

410
00:24:00,200 --> 00:24:04,359
Speaker 7: So you know, it's it's definitely a dynamic. I think

411
00:24:04,680 --> 00:24:08,480
Speaker 7: you certainly want it's certainly a good sign when you're

412
00:24:08,520 --> 00:24:11,640
Speaker 7: winning the taxpayers in the in the sort of interstate

413
00:24:11,640 --> 00:24:15,720
Speaker 7: competition battle. But it's I mean, you raise a great point.

414
00:24:15,760 --> 00:24:18,399
Speaker 7: It's something that that policymakers have to be mindful of

415
00:24:18,560 --> 00:24:22,720
Speaker 7: that and people moving too. They have to realize, hey,

416
00:24:22,760 --> 00:24:24,439
Speaker 7: I left that state because I don't want to be

417
00:24:24,480 --> 00:24:27,120
Speaker 7: in that kind of you know, political environment, I don't

418
00:24:27,119 --> 00:24:29,879
Speaker 7: want to be in that tax environment. I shouldn't just

419
00:24:29,920 --> 00:24:32,199
Speaker 7: go for the same stuff once I moved to a

420
00:24:32,240 --> 00:24:33,919
Speaker 7: state that doesn't have those problems.

421
00:24:34,680 --> 00:24:38,440
Speaker 1: Indiana ranks number nineteen in terms of net gain, a

422
00:24:38,680 --> 00:24:41,720
Speaker 1: number of someone new moves to Indiana every one hour,

423
00:24:41,840 --> 00:24:43,919
Speaker 1: twenty two minutes and thirty six seconds. So in the

424
00:24:43,960 --> 00:24:47,520
Speaker 1: span of Tony's show today, will go Indiana will will

425
00:24:47,560 --> 00:24:50,959
Speaker 1: net two more residents. I mean, my philosophy and all

426
00:24:51,000 --> 00:24:53,600
Speaker 1: of this. Andrew, and we're talking with Andrew Wilford from

427
00:24:53,640 --> 00:24:57,480
Speaker 1: the National Taxpayers Union, Bring your food with you, like

428
00:24:57,560 --> 00:25:00,280
Speaker 1: bring your cuisine with you, so you know, when you

429
00:25:00,359 --> 00:25:03,520
Speaker 1: come to Virginia or when you're going to Arizona and

430
00:25:03,560 --> 00:25:06,280
Speaker 1: you're coming from New York, bring good deli, bring good

431
00:25:06,280 --> 00:25:09,400
Speaker 1: Italian food, bring a good Asian market, but don't bring

432
00:25:09,400 --> 00:25:11,439
Speaker 1: your tax policy. I mean, this is this is the problem,

433
00:25:11,480 --> 00:25:11,880
Speaker 1: isn't it.

434
00:25:12,840 --> 00:25:17,120
Speaker 7: Yeah, I mean absolutely and here here in I'm also

435
00:25:17,160 --> 00:25:19,879
Speaker 7: a Virginia resident, and we could certainly use some more

436
00:25:19,920 --> 00:25:22,639
Speaker 7: cuisine and a lot of the a lot of the

437
00:25:22,680 --> 00:25:26,240
Speaker 7: places I live nearby, but certainly not not the votes

438
00:25:26,240 --> 00:25:30,000
Speaker 7: we've been getting, right, So you know, it's it's it's

439
00:25:30,000 --> 00:25:33,600
Speaker 7: certainly certainly dynamics that adds to this. But on the

440
00:25:33,640 --> 00:25:37,960
Speaker 7: other hand, you know all the you know, people people

441
00:25:38,040 --> 00:25:41,200
Speaker 7: leave states, people coming to states. It's not just really

442
00:25:41,280 --> 00:25:44,000
Speaker 7: it's not just the metric of how how well your

443
00:25:44,040 --> 00:25:46,800
Speaker 7: state is doing, even though it is that. It's also

444
00:25:47,000 --> 00:25:48,480
Speaker 7: you know, it has a real impact. It has an

445
00:25:48,520 --> 00:25:51,600
Speaker 7: impact on revenue. Like we estimate that California is going

446
00:25:51,680 --> 00:25:55,320
Speaker 7: to lose four and a half billion dollars this year

447
00:25:55,400 --> 00:25:58,760
Speaker 7: in state and local revenue just because of migration in

448
00:25:58,800 --> 00:25:59,360
Speaker 7: that one year.

449
00:25:59,440 --> 00:26:00,760
Speaker 1: So that's not even cumulative.

450
00:26:00,760 --> 00:26:03,399
Speaker 7: It's not looking at you know, all the all the

451
00:26:03,400 --> 00:26:06,200
Speaker 7: people who left in the years past, that's just that's

452
00:26:06,280 --> 00:26:10,199
Speaker 7: just in twenty twenty five. So you know, it's it

453
00:26:10,280 --> 00:26:12,320
Speaker 7: really can be death by a thousand cuts because if

454
00:26:13,600 --> 00:26:15,720
Speaker 7: you know, you look at caliborniho's budget situation right now,

455
00:26:15,720 --> 00:26:16,320
Speaker 7: it's not great.

456
00:26:17,160 --> 00:26:18,560
Speaker 1: So here's here's a tail.

457
00:26:18,600 --> 00:26:19,720
Speaker 7: It's a lot off like that.

458
00:26:19,840 --> 00:26:21,879
Speaker 1: I would almost want to drill down. This is the

459
00:26:21,920 --> 00:26:24,880
Speaker 1: really fascinating thing. And then by the way, uh check

460
00:26:24,880 --> 00:26:27,720
Speaker 1: out the map that NTU has, I'll post it on

461
00:26:28,160 --> 00:26:32,480
Speaker 1: my Twitter paget Andrew underscore Langer. What I appreciate about

462
00:26:32,480 --> 00:26:35,240
Speaker 1: this is so you've got Mississippi, which is right in

463
00:26:35,240 --> 00:26:38,320
Speaker 1: the middle. It's ranked number twenty six. They have people

464
00:26:38,720 --> 00:26:42,320
Speaker 1: leaving Mississippi, but only every thirteen hours, nine minutes, and

465
00:26:42,359 --> 00:26:48,639
Speaker 1: eleven seconds. But you've got Utah at number twenty five.

466
00:26:48,080 --> 00:26:54,640
Speaker 1: They have very slow net migration inward and just diagonal

467
00:26:54,720 --> 00:26:57,760
Speaker 1: to them to the southeast is New Mexico, which is

468
00:26:57,840 --> 00:27:01,439
Speaker 1: you know, someone's leaving New Mexico every seven hours, So

469
00:27:02,359 --> 00:27:05,040
Speaker 1: you know, what's what's the Have you drilled down into

470
00:27:05,119 --> 00:27:08,360
Speaker 1: the stark difference between those two policies. Who's doing what?

471
00:27:08,359 --> 00:27:11,840
Speaker 1: What is? What is Utah barely doing right? What is

472
00:27:11,880 --> 00:27:13,359
Speaker 1: New Mexico barely doing wrong?

473
00:27:14,760 --> 00:27:16,919
Speaker 7: Yeah, I mean what once you get to that that

474
00:27:17,000 --> 00:27:20,320
Speaker 7: granular of a level, it's it's not always that clear.

475
00:27:20,880 --> 00:27:23,920
Speaker 7: Sure on the macro level, you can always see I mean,

476
00:27:24,400 --> 00:27:27,280
Speaker 7: for example, like if you just look at uh wealthy

477
00:27:27,320 --> 00:27:30,399
Speaker 7: tax payers where they're moving, there's obviously I mean, this

478
00:27:30,680 --> 00:27:33,680
Speaker 7: can sound like an obvious thing I'm saying, but people

479
00:27:33,680 --> 00:27:36,920
Speaker 7: don't necessarily think it is so right saying, but there's

480
00:27:36,960 --> 00:27:40,160
Speaker 7: not There's not a single state that has raised taxes

481
00:27:42,080 --> 00:27:46,639
Speaker 7: that has gained more uh that his that is, that

482
00:27:46,760 --> 00:27:49,800
Speaker 7: is doing better in migration among wealthy tax payers than

483
00:27:49,840 --> 00:27:52,280
Speaker 7: the state that's lowered them. So every single state that's

484
00:27:52,320 --> 00:27:56,520
Speaker 7: lower taxes is gaining more uh, gaining more residents than

485
00:27:56,560 --> 00:27:59,080
Speaker 7: states that have raised them. And like, you know, that's

486
00:27:59,160 --> 00:28:01,400
Speaker 7: again me just saying that to you.

487
00:28:01,400 --> 00:28:03,639
Speaker 1: You're like, oh, of course, but sure, you know, I

488
00:28:03,680 --> 00:28:04,280
Speaker 1: think I.

489
00:28:04,240 --> 00:28:08,120
Speaker 7: Think this is not something that policy makers necessarily think about. Yeah,

490
00:28:08,240 --> 00:28:11,160
Speaker 7: I mean, not a state that's lowering taxes recently.

491
00:28:11,320 --> 00:28:14,520
Speaker 6: So right, you know, listen.

492
00:28:14,400 --> 00:28:16,440
Speaker 1: I'm going to make a bold prediction. I think you're

493
00:28:16,480 --> 00:28:20,720
Speaker 1: going to see more more net migration into Utah. Their

494
00:28:20,800 --> 00:28:25,040
Speaker 1: regulatory climate has been changing. Idaho's regulatory climate wide. Hose

495
00:28:25,119 --> 00:28:27,960
Speaker 1: number ranked number ten. Someone who moves to Idaho every

496
00:28:28,000 --> 00:28:31,320
Speaker 1: twenty six minutes and nine seconds. Again has contrasted with

497
00:28:31,440 --> 00:28:37,760
Speaker 1: the Oregon and Washington State. Someone two people leave Washington

498
00:28:37,800 --> 00:28:42,840
Speaker 1: State every hour in terms of the net you know, again,

499
00:28:43,080 --> 00:28:45,840
Speaker 1: this is this is what it's what it's all about.

500
00:28:46,200 --> 00:28:49,360
Speaker 1: It is. It is fascinating to me and you guys

501
00:28:49,360 --> 00:28:51,320
Speaker 1: are doing the whole series. So what's the goal here?

502
00:28:51,360 --> 00:28:54,400
Speaker 1: What where we're how what is what is the plan

503
00:28:54,440 --> 00:28:57,280
Speaker 1: for using this information? What's the plan for the initiative?

504
00:28:58,280 --> 00:29:02,200
Speaker 7: Well, you know, I think more broadly speaking, are you know,

505
00:29:02,200 --> 00:29:04,600
Speaker 7: the Interstate Commerce Initiative is looking at how states are

506
00:29:04,920 --> 00:29:07,400
Speaker 7: you know, taxing and regulating outside their borders. And kind

507
00:29:07,480 --> 00:29:11,200
Speaker 7: of what we're concerned about here is that we're seeing

508
00:29:11,280 --> 00:29:14,760
Speaker 7: states like California and like New York who are continually

509
00:29:14,800 --> 00:29:18,040
Speaker 7: losing taxpayers to other states. Their budget sizes continuous well,

510
00:29:18,240 --> 00:29:22,960
Speaker 7: not shrinking, you know, in total total in an absolute sense,

511
00:29:23,000 --> 00:29:25,600
Speaker 7: but it's it's not growing as much as other states are.

512
00:29:26,000 --> 00:29:30,080
Speaker 7: And it's because you know, they're what they're what they're

513
00:29:30,080 --> 00:29:33,640
Speaker 7: doing is instead of trying to you know, trying to

514
00:29:33,680 --> 00:29:36,320
Speaker 7: make the numbers work at their own local you know,

515
00:29:36,360 --> 00:29:39,400
Speaker 7: at the state level, they're seeing tax chairs in other states.

516
00:29:39,440 --> 00:29:41,840
Speaker 7: They're seeing taxairs who are in Arizona and Nevada who

517
00:29:42,240 --> 00:29:44,640
Speaker 7: who are you know, shipping goods around the country things

518
00:29:44,680 --> 00:29:47,080
Speaker 7: like that, and saying we're going to try and tax

519
00:29:47,160 --> 00:29:49,360
Speaker 7: more of this. And that's what we're really concerned about,

520
00:29:49,480 --> 00:29:53,000
Speaker 7: is that that sort of tendency among these sort of

521
00:29:53,040 --> 00:29:57,600
Speaker 7: loser states to try and instead of instead of become

522
00:29:57,680 --> 00:30:02,640
Speaker 7: more competitive, try and just know, throw the throw the

523
00:30:02,920 --> 00:30:04,760
Speaker 7: throw the pieces off the table and say we're just

524
00:30:04,760 --> 00:30:05,880
Speaker 7: going to tax whatever we want.

525
00:30:06,240 --> 00:30:08,040
Speaker 1: It's a d C. At one point, we're floating an

526
00:30:08,040 --> 00:30:10,920
Speaker 1: idea where if you worked in d C, but you

527
00:30:11,600 --> 00:30:13,760
Speaker 1: but you lived in Virginia, they would tax you. I

528
00:30:13,760 --> 00:30:17,000
Speaker 1: mean that, which is which is amazing to me. You know,

529
00:30:17,000 --> 00:30:19,560
Speaker 1: I'm sitting here looking at at uh. You know, it's

530
00:30:19,720 --> 00:30:23,000
Speaker 1: it's that issue. Part of this is, Andrew, is you know,

531
00:30:23,040 --> 00:30:25,840
Speaker 1: when you have a state like California or or you

532
00:30:25,880 --> 00:30:29,360
Speaker 1: have a state like Maryland and they're trying to make policy,

533
00:30:29,960 --> 00:30:31,800
Speaker 1: uh that is essentially going to affect the rest of

534
00:30:31,840 --> 00:30:34,400
Speaker 1: the nation. This is this is not this is not

535
00:30:34,440 --> 00:30:36,800
Speaker 1: what we want is it absolutely?

536
00:30:36,840 --> 00:30:40,240
Speaker 7: And you know you say that that that dec proposal,

537
00:30:40,360 --> 00:30:43,040
Speaker 7: like it's something crazy, But New York, New York does that,

538
00:30:43,560 --> 00:30:46,080
Speaker 7: and like there are there's a few other states that

539
00:30:46,160 --> 00:30:49,320
Speaker 7: do so. Like that's that's exactly the kind of thing

540
00:30:49,360 --> 00:30:50,200
Speaker 7: we're concerned about.

541
00:30:50,920 --> 00:30:52,680
Speaker 1: Amen to that. And listen, you can go check this

542
00:30:52,760 --> 00:30:55,640
Speaker 1: out into you dot org. Uh it's their foundation, the

543
00:30:55,680 --> 00:30:58,800
Speaker 1: National tax Resi Union Foundation. Uh, it has the piece up.

544
00:30:58,800 --> 00:31:00,600
Speaker 1: I'm going to tweet this out in just a couple

545
00:31:00,600 --> 00:31:04,400
Speaker 1: of minutes. Andrew Wilford from and to you, thank you

546
00:31:04,400 --> 00:31:05,160
Speaker 1: for joining us, my.

547
00:31:05,120 --> 00:31:08,240
Speaker 7: Friend, Thank you very much, have a happy holiday.

548
00:31:08,680 --> 00:31:11,040
Speaker 1: Take care. That was Andrew Wilford. He is the director

549
00:31:11,120 --> 00:31:18,040
Speaker 1: of there of the National Taxpayers Union Foundation's Interstate Commerce Initiative. Fascinating,

550
00:31:18,080 --> 00:31:21,440
Speaker 1: fascinating work. And yeah, that's the aphorism. Right, if you're

551
00:31:21,440 --> 00:31:24,200
Speaker 1: gonna if you're gonna make the move, right, if you're

552
00:31:24,200 --> 00:31:26,480
Speaker 1: gonna make the move from Illinois, which is ranked number

553
00:31:26,600 --> 00:31:30,720
Speaker 1: forty nine, or you're gonna move from Ohio, which is

554
00:31:30,800 --> 00:31:36,160
Speaker 1: ranked number thirty six, into Indiana, don't take Illinois or

555
00:31:36,200 --> 00:31:41,240
Speaker 1: Indiana or Michigan's policies with you. Leave them there. Take

556
00:31:41,240 --> 00:31:42,920
Speaker 1: whatever the best food is in bringing with you. That's

557
00:31:42,920 --> 00:31:45,000
Speaker 1: all I have to say. I'm Andrew lagger In for

558
00:31:45,080 --> 00:31:47,560
Speaker 1: Tony Kats. This is Tony Kats Today. So we were

559
00:31:47,640 --> 00:31:52,040
Speaker 1: talking about this bizarre statement that Jazz Crocket made on

560
00:31:52,480 --> 00:31:56,200
Speaker 1: M Snow yesterday. Then if you're go ahead, let's pull

561
00:31:56,240 --> 00:31:58,760
Speaker 1: play at number four again, real quick, stem Missy.

562
00:32:00,760 --> 00:32:03,200
Speaker 5: And that is actually what they are fearful of is

563
00:32:03,240 --> 00:32:07,080
Speaker 5: my authenticity because it rings true with every single American,

564
00:32:07,120 --> 00:32:09,760
Speaker 5: whether they're a Texan or not. It rings true that

565
00:32:09,880 --> 00:32:13,160
Speaker 5: I am fighting for real, everyday people. And instead of

566
00:32:13,200 --> 00:32:15,840
Speaker 5: talking about policy, when you're talking about the record speaks

567
00:32:15,840 --> 00:32:18,920
Speaker 5: for itself. Baby, Let's talk about your record because the

568
00:32:18,960 --> 00:32:21,440
Speaker 5: only reason you're the vice president is because the current

569
00:32:21,480 --> 00:32:24,200
Speaker 5: president tried to have his last president killed.

570
00:32:24,560 --> 00:32:26,080
Speaker 6: Let's talk about qualification.

571
00:32:26,280 --> 00:32:32,280
Speaker 1: Oh I see so yeah, So listener, Randy messaged in.

572
00:32:33,240 --> 00:32:37,000
Speaker 1: She misspoke what she's saying. She was referring to Vice

573
00:32:37,040 --> 00:32:40,640
Speaker 1: President Pence that the only reason why your vice president

574
00:32:41,080 --> 00:32:45,400
Speaker 1: is because Donald Trump tried to have Mike Pence killed.

575
00:32:45,440 --> 00:32:47,680
Speaker 1: It's a very very strange way of looking at it.

576
00:32:47,760 --> 00:32:49,480
Speaker 1: But I want to thank you for that, Randy. That

577
00:32:50,280 --> 00:32:52,720
Speaker 1: was a good that's a good pick up there. But

578
00:32:53,160 --> 00:32:57,240
Speaker 1: this idea of being threatened by her authenticity. I made

579
00:32:57,480 --> 00:32:59,800
Speaker 1: the case that this is what Tim Waltz was trying

580
00:32:59,840 --> 00:33:03,440
Speaker 1: to do. Here is Tim Waltz at the DNC last

581
00:33:03,480 --> 00:33:06,440
Speaker 1: summer Summer of twenty twenty four, talking about what a

582
00:33:06,440 --> 00:33:08,080
Speaker 1: good shot he is. Let's play that.

583
00:33:08,440 --> 00:33:12,120
Speaker 8: Is, I'm trying to own masculinity in the most regressive,

584
00:33:12,360 --> 00:33:16,720
Speaker 8: sort of misogynous way possible. Jd Vance, lecturing everybody on

585
00:33:17,280 --> 00:33:18,880
Speaker 8: what a family means, what it means to.

586
00:33:18,840 --> 00:33:19,280
Speaker 6: Be a man.

587
00:33:19,400 --> 00:33:22,240
Speaker 8: Donald Trump obviously has his own version of manhood. To

588
00:33:22,400 --> 00:33:26,040
Speaker 8: see Tim Walls out there as a man who is

589
00:33:26,720 --> 00:33:30,320
Speaker 8: just joyfully embracing his role as the vice potential vice

590
00:33:30,360 --> 00:33:33,920
Speaker 8: president to the woman, the nation's first female president, is

591
00:33:33,960 --> 00:33:38,160
Speaker 8: an extraordinary thing. But also to see his son weeping

592
00:33:38,280 --> 00:33:41,760
Speaker 8: for his father in a deeply tender and emotional way.

593
00:33:42,040 --> 00:33:43,720
Speaker 6: And then the last thing I'll say, because I think

594
00:33:43,720 --> 00:33:45,240
Speaker 6: this hasn't been talked about enough.

595
00:33:45,120 --> 00:33:49,320
Speaker 8: To see Democrats champion men as voices on reproductive choice.

596
00:33:49,560 --> 00:33:53,200
Speaker 1: As you saw, good lord, you know something. But what

597
00:33:53,240 --> 00:33:56,120
Speaker 1: they're referring to was this clip also at the DNC.

598
00:33:56,520 --> 00:33:58,560
Speaker 1: Here's Tim Waltz talking about what a great shot he was.

599
00:34:00,440 --> 00:34:05,160
Speaker 3: I know guns I'm a veteran, I'm a hunter, and

600
00:34:05,280 --> 00:34:07,920
Speaker 3: I was a better shot than most Republicans in Congress,

601
00:34:07,920 --> 00:34:09,480
Speaker 3: and I got the trophies to prove it.

602
00:34:11,000 --> 00:34:15,040
Speaker 1: Yet no, there's, by the way, very little indication that

603
00:34:15,040 --> 00:34:19,600
Speaker 1: that story was true. In fact, just the opposite, very

604
00:34:19,600 --> 00:34:21,160
Speaker 1: little in the way of proof that he was a

605
00:34:21,160 --> 00:34:23,680
Speaker 1: better shot than most Republicans. I got the trophies to

606
00:34:23,719 --> 00:34:25,879
Speaker 1: prove it. We went, we went through, when we when

607
00:34:25,880 --> 00:34:28,319
Speaker 1: we peeled peeled that back. I'll say it again because

608
00:34:28,480 --> 00:34:30,160
Speaker 1: in the next hour we're going to talk about this

609
00:34:30,680 --> 00:34:33,840
Speaker 1: Somalia's situation. And I think I brought this up the

610
00:34:33,880 --> 00:34:35,640
Speaker 1: last time I was in for Tony is this this

611
00:34:35,760 --> 00:34:39,360
Speaker 1: story was starting to break. I think my lucky stars

612
00:34:40,400 --> 00:34:42,200
Speaker 1: that this guy. I mean, there are a lot of

613
00:34:42,280 --> 00:34:45,799
Speaker 1: reasons why I'm thankful that these two nincompoops didn't get

614
00:34:45,800 --> 00:34:48,839
Speaker 1: elected president and vice president. And some of it has

615
00:34:48,880 --> 00:34:52,479
Speaker 1: to do with the just the horrible, the horrible way

616
00:34:52,560 --> 00:34:56,680
Speaker 1: America's semi sequentinnial, the two hundred and fiftieth anniversary would

617
00:34:56,680 --> 00:34:59,200
Speaker 1: be portrayed. Some of it is going to be about

618
00:34:59,200 --> 00:35:02,960
Speaker 1: who's president and how we celebrate America's return to the

619
00:35:03,000 --> 00:35:05,200
Speaker 1: surface of the Moon. In the next couple of years,

620
00:35:05,920 --> 00:35:07,920
Speaker 1: but some of it has to do and the lion's

621
00:35:07,960 --> 00:35:11,840
Speaker 1: share of my relief comes from as we peel back

622
00:35:12,400 --> 00:35:16,000
Speaker 1: at the very least Tim Waltz's record and the level

623
00:35:16,080 --> 00:35:21,200
Speaker 1: of corruption and the questions. Just thank God, thank God

624
00:35:21,880 --> 00:35:24,799
Speaker 1: that this guy is not vice president, because either a

625
00:35:25,200 --> 00:35:28,120
Speaker 1: we never would have learned about this Somali fraud it

626
00:35:28,120 --> 00:35:31,720
Speaker 1: would have been swept under the rug, or god forbid,

627
00:35:31,800 --> 00:35:35,160
Speaker 1: we had actually found out about it. In the most

628
00:35:35,239 --> 00:35:38,160
Speaker 1: amazing sense, we would be dealing with it as this

629
00:35:38,200 --> 00:35:40,680
Speaker 1: guy was Vice President of the United States, and we'd

630
00:35:40,719 --> 00:35:44,800
Speaker 1: be referring to him as the next coming of Ted Agnew.

631
00:35:45,840 --> 00:35:49,160
Speaker 1: So we got a jam packed hour. Next hour, Yeah,

632
00:35:49,200 --> 00:35:51,200
Speaker 1: I call him Ted Agnew. If you spent any time

633
00:35:51,200 --> 00:35:53,839
Speaker 1: in Maryland, called Ted Agnew. Next how we got Rachel Moon.

634
00:35:54,080 --> 00:35:57,960
Speaker 1: She's a conservative anti semitism activist, also Ken Strength from AFP.

635
00:35:58,200 --> 00:35:59,920
Speaker 1: I'm Andrew Langlet. This is Tony Katsky