1
00:00:18,600 --> 00:00:22,000
Speaker 1: Well, good evening, everyone, Welcome to Stinsfield. President Trump says

2
00:00:22,040 --> 00:00:26,160
Speaker 1: his patience is wearing thin with Elon Musk. I would

3
00:00:26,239 --> 00:00:30,680
Speaker 1: reiterate those exact same sentiments. Elon Musk is out of line,

4
00:00:30,880 --> 00:00:33,800
Speaker 1: and now I believe he is actually going down the

5
00:00:33,880 --> 00:00:37,960
Speaker 1: road of putting national security at risk by this unhinged,

6
00:00:38,560 --> 00:00:43,280
Speaker 1: crazy rant on X about President Trump and his dissatisfaction

7
00:00:43,360 --> 00:00:46,920
Speaker 1: with the big beautiful Bill and President Trump. The one

8
00:00:47,920 --> 00:00:51,240
Speaker 1: tweak that is making the biggest news is this one

9
00:00:51,280 --> 00:00:52,320
Speaker 1: by Elon Musk.

10
00:00:52,360 --> 00:00:53,159
Speaker 2: I'll read it to you.

11
00:00:53,840 --> 00:00:57,560
Speaker 1: Time to drop the really big bomb at real Donald

12
00:00:57,600 --> 00:01:01,280
Speaker 1: Trump is in the Epstein file. That is the real

13
00:01:01,400 --> 00:01:05,319
Speaker 1: reason they have not been made public. Have a nice day,

14
00:01:06,000 --> 00:01:08,080
Speaker 1: DJT What would that?

15
00:01:08,160 --> 00:01:08,640
Speaker 2: Folks?

16
00:01:08,680 --> 00:01:14,440
Speaker 1: Clearly the the the bromance between President Trump and Elon

17
00:01:14,560 --> 00:01:19,679
Speaker 1: Musk is over. I would offer this up. How are

18
00:01:19,720 --> 00:01:23,320
Speaker 1: you so disloyal to a man? Elon Musk? I'm talking

19
00:01:23,319 --> 00:01:26,680
Speaker 1: about you to President Trump when President Trump invited you

20
00:01:26,760 --> 00:01:28,200
Speaker 1: into his inner circle.

21
00:01:28,800 --> 00:01:30,679
Speaker 2: This is so far out of line. Now.

22
00:01:30,680 --> 00:01:33,959
Speaker 1: Before that tweet, President Trump was asked about the brew

23
00:01:34,360 --> 00:01:39,039
Speaker 1: brewing feud with Elon Musk, and he said this, And I'll.

24
00:01:38,920 --> 00:01:40,559
Speaker 2: Be honest, I think he misses the place.

25
00:01:41,240 --> 00:01:42,640
Speaker 3: I think he got out there and all of a

26
00:01:42,680 --> 00:01:43,640
Speaker 3: sudden he wasn't.

27
00:01:43,440 --> 00:01:45,399
Speaker 2: In this beautiful over office, and he wasn't.

28
00:01:45,480 --> 00:01:48,960
Speaker 3: He's got nice officers, Sue, But there's something about this one.

29
00:01:49,120 --> 00:01:54,880
Speaker 2: I'll tell you. He's not the first. He believe my administration,

30
00:01:56,440 --> 00:01:57,520
Speaker 2: and they love us.

31
00:01:58,400 --> 00:02:01,280
Speaker 3: And then at some point if they missed it so badly,

32
00:02:01,360 --> 00:02:04,280
Speaker 3: and some of them embrace it, and some of them

33
00:02:04,320 --> 00:02:05,520
Speaker 3: actually become hustle.

34
00:02:06,040 --> 00:02:06,880
Speaker 2: I don't know what it is.

35
00:02:06,920 --> 00:02:08,760
Speaker 3: It's sort of Trump derangement syndrome.

36
00:02:08,800 --> 00:02:12,320
Speaker 2: I guess they all right.

37
00:02:12,720 --> 00:02:18,000
Speaker 1: So President Trump later tweeted out, this elon was wearing thin.

38
00:02:18,160 --> 00:02:19,360
Speaker 2: I asked him to leave.

39
00:02:19,480 --> 00:02:23,320
Speaker 1: I took away his evy mandate and forced everyone to

40
00:02:23,320 --> 00:02:26,960
Speaker 1: buy electric cars that nobody else wanted that he knew

41
00:02:27,000 --> 00:02:29,440
Speaker 1: for months I was going to do. And he just

42
00:02:29,560 --> 00:02:33,040
Speaker 1: went crazy. And this all led to a back and forth.

43
00:02:33,120 --> 00:02:36,520
Speaker 1: Really the back and forth doesn't matter. But the reality is,

44
00:02:37,040 --> 00:02:42,080
Speaker 1: where I'm from, you don't do this. Loyalty means something.

45
00:02:42,480 --> 00:02:46,519
Speaker 1: Forget about everything surrounding this, forget about the money, forget

46
00:02:46,560 --> 00:02:49,880
Speaker 1: about forget about the big beautiful bill. If you were

47
00:02:49,919 --> 00:02:54,120
Speaker 1: friends with somebody, you handle it behind closed doors. You

48
00:02:54,240 --> 00:02:57,040
Speaker 1: don't act in a bush league manner like you're out

49
00:02:57,120 --> 00:02:59,639
Speaker 1: in the school yard. And quite frankly, Elon Musk is

50
00:02:59,639 --> 00:03:03,720
Speaker 1: powerful is as he is, this does put national security

51
00:03:03,720 --> 00:03:06,560
Speaker 1: at risk. I do not think this is good at

52
00:03:06,600 --> 00:03:09,280
Speaker 1: all for the country, and I think Elon Musk ought

53
00:03:09,280 --> 00:03:10,760
Speaker 1: to knock it off, and knock.

54
00:03:10,560 --> 00:03:11,880
Speaker 2: It off immediately.

55
00:03:12,680 --> 00:03:15,360
Speaker 1: Here's why I'll tell you President Trump is not in

56
00:03:15,400 --> 00:03:19,560
Speaker 1: the Epstein files. If he was Joe Biden and the

57
00:03:19,560 --> 00:03:24,880
Speaker 1: Biden DOJ, even the DOJ under the Obama rule with

58
00:03:24,960 --> 00:03:28,359
Speaker 1: Hillary Clinton running for president way back when, they would

59
00:03:28,360 --> 00:03:31,320
Speaker 1: have released this so quickly you would have seen it.

60
00:03:31,840 --> 00:03:36,240
Speaker 1: Number two, if he was Epstein himself would have used

61
00:03:36,240 --> 00:03:40,720
Speaker 1: the blackmail evidence of any video or photographic evidence there

62
00:03:40,840 --> 00:03:41,960
Speaker 1: was of President Trump.

63
00:03:42,200 --> 00:03:43,560
Speaker 2: We haven't seen any of that.

64
00:03:43,760 --> 00:03:46,680
Speaker 1: Why because, in my opinion and my belief, it doesn't exist.

65
00:03:46,880 --> 00:03:49,480
Speaker 1: And the third reason, I have done a deep dive

66
00:03:49,520 --> 00:03:52,760
Speaker 1: into this case, probably more than most cases, and I

67
00:03:53,000 --> 00:03:58,680
Speaker 1: just don't see any real connection to Jeffrey Epstein and

68
00:03:58,760 --> 00:04:00,120
Speaker 1: President Trump other than.

69
00:04:00,120 --> 00:04:01,720
Speaker 2: Pictures and pictures.

70
00:04:01,760 --> 00:04:05,080
Speaker 1: You're a billionaire in America, you take pictures with other billionaires.

71
00:04:05,160 --> 00:04:09,440
Speaker 1: Remember President Trump kicked Elon out of Mari Lago, So

72
00:04:09,480 --> 00:04:13,600
Speaker 1: I believe Elon now is unhinged and he's spouting off

73
00:04:13,880 --> 00:04:17,480
Speaker 1: like a child. And mind you, I warned you a

74
00:04:17,520 --> 00:04:20,240
Speaker 1: long time ago that we have to be very careful

75
00:04:20,279 --> 00:04:25,240
Speaker 1: about trusting anybody that was a Democrat and now claims

76
00:04:25,279 --> 00:04:30,160
Speaker 1: to be a Republican, including Elon Musk and others. I

77
00:04:30,240 --> 00:04:34,640
Speaker 1: still have every eye open. This is Sean Davis of

78
00:04:34,680 --> 00:04:37,159
Speaker 1: the Federalist talking about this feud.

79
00:04:37,240 --> 00:04:37,480
Speaker 2: Now.

80
00:04:38,800 --> 00:04:40,400
Speaker 4: Well, I mean, this is also a guy who just

81
00:04:40,400 --> 00:04:43,640
Speaker 4: spent two hundred and fifty million on getting Trump elected.

82
00:04:43,760 --> 00:04:46,839
Speaker 4: So he's obviously kind of an emotional and volatle guy.

83
00:04:47,000 --> 00:04:50,240
Speaker 4: So if he can swing one way, you know that

84
00:04:51,720 --> 00:04:54,560
Speaker 4: rapidly he can swing back the other way. But look,

85
00:04:54,560 --> 00:04:56,520
Speaker 4: at the end of the day, American people, they elected

86
00:04:56,520 --> 00:04:59,880
Speaker 4: Donald Trump, they didn't elect Elon Musk. And Donald Trump's president.

87
00:05:00,000 --> 00:05:02,920
Speaker 4: He was this morning, he will be tomorrow. You know,

88
00:05:02,920 --> 00:05:05,000
Speaker 4: people are pretty clear on what he believes and what

89
00:05:05,040 --> 00:05:06,960
Speaker 4: he wants, and he's the president.

90
00:05:08,680 --> 00:05:08,800
Speaker 5: You know.

91
00:05:09,279 --> 00:05:12,440
Speaker 1: Even the very least of it is Elon Musk causes

92
00:05:12,480 --> 00:05:15,799
Speaker 1: a headache for President Trump dealing with the mainstream media.

93
00:05:15,800 --> 00:05:18,200
Speaker 2: They latch onto this fodder. Now when we.

94
00:05:18,160 --> 00:05:21,239
Speaker 1: Have real business to take care of, and now taking

95
00:05:21,240 --> 00:05:24,880
Speaker 1: care of that business gets put in jeopardy because everything

96
00:05:24,920 --> 00:05:27,240
Speaker 1: gets thrown into flux. We're not talking about the things

97
00:05:27,240 --> 00:05:29,760
Speaker 1: we need to be talking about. Well, I'll bring in

98
00:05:30,080 --> 00:05:36,080
Speaker 1: now Colorado Congressman Republican Lauren Bolbert is with us Congress.

99
00:05:36,279 --> 00:05:39,479
Speaker 2: It's great to have you back on the program. Great

100
00:05:39,520 --> 00:05:40,400
Speaker 2: to be on Grant.

101
00:05:40,480 --> 00:05:43,039
Speaker 6: You know, the big question of the day is is

102
00:05:43,080 --> 00:05:44,400
Speaker 6: mercury in retrograde?

103
00:05:44,520 --> 00:05:46,080
Speaker 5: What is going on here?

104
00:05:46,720 --> 00:05:50,960
Speaker 6: But I do want to agree with your statements there.

105
00:05:51,440 --> 00:05:53,920
Speaker 6: We do not need this distraction, We do not need

106
00:05:53,920 --> 00:05:57,240
Speaker 6: this divide, this discourse. I am loyal to President Trump,

107
00:05:57,360 --> 00:06:00,520
Speaker 6: just as you are and the millions of Americans who

108
00:06:00,640 --> 00:06:04,159
Speaker 6: have elected him yet again as President of the United States.

109
00:06:04,640 --> 00:06:07,480
Speaker 6: They have given him a mandate that we are delivering

110
00:06:07,560 --> 00:06:10,359
Speaker 6: on right here in Congress, and that needs to be

111
00:06:10,400 --> 00:06:11,159
Speaker 6: our focal point.

112
00:06:11,839 --> 00:06:14,160
Speaker 1: Look, I'm going to give an example. I'm going to

113
00:06:14,480 --> 00:06:16,880
Speaker 1: use you and I as an example. You and I

114
00:06:16,960 --> 00:06:19,560
Speaker 1: are probably not as good a friends as Elon Musk

115
00:06:19,600 --> 00:06:20,279
Speaker 1: and President Trump.

116
00:06:20,279 --> 00:06:22,960
Speaker 2: They spent every waking hour together for the last seven months.

117
00:06:23,360 --> 00:06:25,919
Speaker 1: But if I had a problem with you, I'm not

118
00:06:26,040 --> 00:06:28,560
Speaker 1: coming on this TV show and spouting it off for

119
00:06:28,640 --> 00:06:29,839
Speaker 1: all the world to see.

120
00:06:30,120 --> 00:06:31,360
Speaker 2: I'm calling you up and.

121
00:06:31,279 --> 00:06:33,279
Speaker 1: I'm I'm going to tell you what the problem is,

122
00:06:33,680 --> 00:06:35,600
Speaker 1: and I would hope that we would hash it out

123
00:06:35,880 --> 00:06:38,600
Speaker 1: for the good of the party, for the good of Conservatism,

124
00:06:38,640 --> 00:06:41,159
Speaker 1: for the good of MAGA Republicans.

125
00:06:41,600 --> 00:06:44,160
Speaker 2: What Elon did here is like the.

126
00:06:44,120 --> 00:06:48,000
Speaker 1: Total opposite of what loyalty means today.

127
00:06:49,680 --> 00:06:53,960
Speaker 6: Yes, Grant, I travel Colorado and in the GOP sphere,

128
00:06:54,080 --> 00:06:56,799
Speaker 6: I give that same exact speech. Most of the people

129
00:06:56,880 --> 00:06:59,719
Speaker 6: you are on Facebook, in the comments or on Twitter

130
00:07:00,600 --> 00:07:03,039
Speaker 6: arguing with you have their cell phone number. Pick up

131
00:07:03,040 --> 00:07:05,200
Speaker 6: the phone and call them. Some of the folks that

132
00:07:05,240 --> 00:07:09,480
Speaker 6: I have had the most aggressive discourse with in our

133
00:07:09,560 --> 00:07:12,400
Speaker 6: own stage GOP, I have picked up the phone and

134
00:07:12,440 --> 00:07:17,040
Speaker 6: called and had conversations, and we are closer allies for it.

135
00:07:17,680 --> 00:07:21,240
Speaker 6: So for Elon must to use his platform to go

136
00:07:21,320 --> 00:07:24,880
Speaker 6: after President Trump like this certainly was a surprise. We

137
00:07:24,880 --> 00:07:28,120
Speaker 6: were grateful for everything that Elon did in the last election,

138
00:07:28,240 --> 00:07:32,040
Speaker 6: but ultimately President Trump did win because he is President Trump.

139
00:07:32,600 --> 00:07:36,680
Speaker 6: People elected Donald Trump. I'm grateful for DOGE. Now my

140
00:07:36,800 --> 00:07:41,200
Speaker 6: real battle is ensuring that Congress codifies DOGE and so

141
00:07:41,400 --> 00:07:44,680
Speaker 6: much more, because we need a lot more than nine

142
00:07:44,720 --> 00:07:46,160
Speaker 6: billion dollars to codify.

143
00:07:46,840 --> 00:07:47,080
Speaker 2: Yeah.

144
00:07:47,080 --> 00:07:50,360
Speaker 1: Look, President Trump was quick to point out the EV

145
00:07:50,640 --> 00:07:53,960
Speaker 1: mandate's electric vehicle mandates the subsidies was basically stripped from

146
00:07:53,960 --> 00:07:54,320
Speaker 1: the bill.

147
00:07:54,760 --> 00:07:56,480
Speaker 2: Is he angry about that?

148
00:07:56,880 --> 00:07:59,000
Speaker 1: Was there a chance that Elon must thought that maybe

149
00:07:59,040 --> 00:08:02,360
Speaker 1: he could buy a Trump by him meaning helping with

150
00:08:02,400 --> 00:08:05,400
Speaker 1: the election. Look, Elon was instrumental in us winning. I'm

151
00:08:05,440 --> 00:08:07,160
Speaker 1: not going to say President Trump couldn't have done it

152
00:08:07,160 --> 00:08:09,680
Speaker 1: without him, but certainly Elon was a help with not

153
00:08:09,760 --> 00:08:13,280
Speaker 1: only his money, but buying Twitter and now X, all

154
00:08:13,320 --> 00:08:15,440
Speaker 1: of that a big help. But I think this proof

155
00:08:15,520 --> 00:08:19,160
Speaker 1: President Trump cannot be bought. Maybe there was a part

156
00:08:19,160 --> 00:08:20,480
Speaker 1: of Elon that thought he could be.

157
00:08:22,720 --> 00:08:25,840
Speaker 6: Yes, It's really unfortunate when motive seems to seem to

158
00:08:25,840 --> 00:08:29,440
Speaker 6: start surfacing like that. I would still like to believe

159
00:08:29,520 --> 00:08:32,960
Speaker 6: that he wasn't trying to buy his way into relationship

160
00:08:33,000 --> 00:08:34,880
Speaker 6: with President Trump and have.

161
00:08:34,720 --> 00:08:36,120
Speaker 7: That close connection.

162
00:08:36,840 --> 00:08:41,920
Speaker 6: But seeing these EV mandates rightfully stripped, and I wish

163
00:08:41,920 --> 00:08:46,480
Speaker 6: the bill even went further with them, it really is troublesome,

164
00:08:46,960 --> 00:08:49,880
Speaker 6: especially when we have so much more going on right now.

165
00:08:50,080 --> 00:08:52,600
Speaker 6: I mean, we really have a Democrat party who is

166
00:08:52,760 --> 00:08:56,400
Speaker 6: on the floor and they don't know which direction to go.

167
00:08:57,040 --> 00:08:58,559
Speaker 2: They have to admit the.

168
00:08:58,520 --> 00:09:03,040
Speaker 6: Cognitive decline of o'biden and the administrative the administration of

169
00:09:03,080 --> 00:09:05,840
Speaker 6: the Auto pen, even to the point where Koreine Jean

170
00:09:05,920 --> 00:09:09,360
Speaker 6: Pierre is saying, I'm out. I'm not a Democrat, I'm

171
00:09:09,360 --> 00:09:11,760
Speaker 6: an independent. And so we have all of these other

172
00:09:11,800 --> 00:09:15,079
Speaker 6: things to focus on while simultaneously passing this one big

173
00:09:15,120 --> 00:09:18,320
Speaker 6: beautiful bill and ensuring that it is right before it

174
00:09:18,440 --> 00:09:23,480
Speaker 6: actually leaves this body and goes over to the Oval Office.

175
00:09:23,960 --> 00:09:28,440
Speaker 1: I've made public comments that I'm not crazy about the

176
00:09:28,480 --> 00:09:30,599
Speaker 1: one big beautiful bill, but I know it's got to

177
00:09:30,640 --> 00:09:33,640
Speaker 1: get passed in order to get onto the next phase

178
00:09:33,720 --> 00:09:36,280
Speaker 1: of making America great again. I think in some respects

179
00:09:36,320 --> 00:09:39,320
Speaker 1: the tax cuts. Whoever put this thing together was brilliant

180
00:09:39,360 --> 00:09:41,880
Speaker 1: because they held the big beautiful bill hostage with the

181
00:09:41,920 --> 00:09:44,360
Speaker 1: tax cuts. I think everybody knows those tax cuts have

182
00:09:44,440 --> 00:09:49,240
Speaker 1: to go through. Let me play for you Russ Void,

183
00:09:49,320 --> 00:09:52,760
Speaker 1: who's the budget director for President Trump in the Oval

184
00:09:52,800 --> 00:09:54,920
Speaker 1: Office today? All right, excuse me, this was a House

185
00:09:54,920 --> 00:09:57,679
Speaker 1: budget hearing today. Let me play that clip and then

186
00:09:57,720 --> 00:09:58,520
Speaker 1: get your response.

187
00:10:00,200 --> 00:10:04,960
Speaker 7: One fails if whatever comes back from the Senate fails

188
00:10:05,000 --> 00:10:06,839
Speaker 7: to get to the desk of the President and signed

189
00:10:06,840 --> 00:10:07,160
Speaker 7: in the law.

190
00:10:07,240 --> 00:10:09,120
Speaker 2: What happens at the end of this year. I think

191
00:10:09,160 --> 00:10:10,000
Speaker 2: we'll have a recession.

192
00:10:10,080 --> 00:10:13,280
Speaker 7: I think we will be economic storm clouds will be

193
00:10:13,360 --> 00:10:13,760
Speaker 7: very dark.

194
00:10:13,840 --> 00:10:15,960
Speaker 8: I think we'll have a sixty percent tax increase in

195
00:10:16,000 --> 00:10:16,880
Speaker 8: the American people.

196
00:10:19,480 --> 00:10:23,040
Speaker 2: What do you make of those comments, congresswomen. Yes, So

197
00:10:23,360 --> 00:10:24,760
Speaker 2: this is a special kind of bill.

198
00:10:24,800 --> 00:10:27,240
Speaker 6: This is a budget reconciliation, and it is a bill

199
00:10:27,280 --> 00:10:29,880
Speaker 6: that does not require any Democrat support. It does not

200
00:10:29,960 --> 00:10:32,520
Speaker 6: require sixty votes in the Senate. We just need a

201
00:10:32,520 --> 00:10:36,240
Speaker 6: simple majority amongst Republicans, and we have that. So it's

202
00:10:36,280 --> 00:10:39,360
Speaker 6: not necessarily just holding it hostage with the tax cuts.

203
00:10:39,520 --> 00:10:41,600
Speaker 6: But I'm glad that they are in there, because making

204
00:10:41,640 --> 00:10:46,080
Speaker 6: these cuts permanent is something that we certainly need to

205
00:10:46,080 --> 00:10:49,079
Speaker 6: do and something that President Trump campaigned on. The child

206
00:10:49,120 --> 00:10:52,760
Speaker 6: tax credit raised to twenty five hundred dollars, overtime pay

207
00:10:52,840 --> 00:10:58,920
Speaker 6: tax fee, removed one point six trillion dollars in spending cuts,

208
00:10:58,960 --> 00:11:03,280
Speaker 6: and of course the largest the largest support we've seen

209
00:11:03,320 --> 00:11:06,559
Speaker 6: to our border patrol agents in decades. We are going

210
00:11:06,600 --> 00:11:08,840
Speaker 6: to secure the border, we are going to hire more agents,

211
00:11:08,840 --> 00:11:11,600
Speaker 6: and we are going to deport more illegal aliens. So

212
00:11:11,760 --> 00:11:14,600
Speaker 6: this is a very important bill, and of course we

213
00:11:14,640 --> 00:11:18,320
Speaker 6: are going to speak out when it's not perfect. I

214
00:11:18,360 --> 00:11:21,960
Speaker 6: believe that the Senate can do better at really reforming

215
00:11:22,040 --> 00:11:24,520
Speaker 6: some of the welfare that is in there. We were

216
00:11:24,559 --> 00:11:29,880
Speaker 6: able to get transgender surgeries removed from our children and adults.

217
00:11:29,880 --> 00:11:32,160
Speaker 6: We were able to remove a lot of the illegal

218
00:11:32,200 --> 00:11:35,280
Speaker 6: aliens that we are paying for, but not all of

219
00:11:35,320 --> 00:11:40,000
Speaker 6: the able body credits for Medicare or excuse me, for

220
00:11:40,120 --> 00:11:43,560
Speaker 6: Medicaid are removed, so we still have more.

221
00:11:43,440 --> 00:11:44,080
Speaker 2: Work to do.

222
00:11:44,520 --> 00:11:48,000
Speaker 6: This bill is precious because it does not need Democrat

223
00:11:48,080 --> 00:11:52,400
Speaker 6: support and it can pass without the filibuster in the Senate.

224
00:11:52,440 --> 00:11:54,120
Speaker 6: So we've just got to get it right and then

225
00:11:54,200 --> 00:11:56,880
Speaker 6: it will be a one big, beautiful bill.

226
00:11:57,880 --> 00:12:00,360
Speaker 1: President Trump has said, we've got to move on to

227
00:12:00,480 --> 00:12:03,559
Speaker 1: getting some of these spending cuts in other bills. You

228
00:12:03,720 --> 00:12:06,439
Speaker 1: vowed that that would happen. I've got to trust leadership

229
00:12:06,520 --> 00:12:08,599
Speaker 1: on that. I have some problems with leadership that have

230
00:12:08,640 --> 00:12:10,720
Speaker 1: I've always lived up to their promises here.

231
00:12:11,160 --> 00:12:12,880
Speaker 2: One example of this is.

232
00:12:12,800 --> 00:12:16,840
Speaker 1: This artificial intelligence provision on page two hundred and something

233
00:12:17,360 --> 00:12:22,240
Speaker 1: clearly stuck into this bill late before passage that basically

234
00:12:22,280 --> 00:12:25,440
Speaker 1: takes away states' rights to regulate anything to do with

235
00:12:25,559 --> 00:12:29,520
Speaker 1: artificial intelligence. AI is not a constitutional right, okay, So

236
00:12:29,880 --> 00:12:31,880
Speaker 1: with that, the states have a right to do with

237
00:12:31,920 --> 00:12:35,000
Speaker 1: what they want to do with this. I wish it

238
00:12:35,080 --> 00:12:38,000
Speaker 1: was out. Here's my question for you. I think I

239
00:12:38,080 --> 00:12:41,360
Speaker 1: know the answer, but how does something like this get missed?

240
00:12:41,440 --> 00:12:43,079
Speaker 1: I know we always say all of you should be

241
00:12:43,160 --> 00:12:46,280
Speaker 1: reading the bill, But what I've found out is this bill,

242
00:12:46,440 --> 00:12:49,440
Speaker 1: all the rules were waived about you getting the amount

243
00:12:49,480 --> 00:12:52,160
Speaker 1: of time you need to read the bill. That they

244
00:12:52,240 --> 00:12:54,600
Speaker 1: waived all these rules and they pushed it and had

245
00:12:54,640 --> 00:12:56,000
Speaker 1: it voted on right away.

246
00:12:56,120 --> 00:12:59,000
Speaker 2: Is all that true? Almost correct?

247
00:12:59,120 --> 00:13:02,400
Speaker 6: So, first of all, each committee has put forward their

248
00:13:02,440 --> 00:13:04,480
Speaker 6: portion of the bill, and I believe that that AI

249
00:13:04,600 --> 00:13:08,080
Speaker 6: language was in committee and passed out of committee before

250
00:13:08,080 --> 00:13:08,680
Speaker 6: it came.

251
00:13:08,520 --> 00:13:09,520
Speaker 2: To the floor.

252
00:13:10,000 --> 00:13:12,760
Speaker 6: Now, where the big change happened was in a manager's

253
00:13:12,800 --> 00:13:16,160
Speaker 6: amendment in the rules committee, and that did happen hours

254
00:13:16,280 --> 00:13:19,480
Speaker 6: before the final passage of the vote. And this was

255
00:13:19,559 --> 00:13:21,480
Speaker 6: right around one hundred pages. I think it was a

256
00:13:21,480 --> 00:13:24,080
Speaker 6: little bit less, but I could be wrong there. But

257
00:13:24,360 --> 00:13:26,480
Speaker 6: this was a manager's amendment where we were trying to

258
00:13:26,559 --> 00:13:30,160
Speaker 6: get good language in the bill before it actually went

259
00:13:30,160 --> 00:13:31,719
Speaker 6: to the floor for a vote. So those are those

260
00:13:31,800 --> 00:13:34,240
Speaker 6: late night changes that you were hearing about the other

261
00:13:34,280 --> 00:13:36,800
Speaker 6: portions of the bill had been out for weeks, having

262
00:13:36,840 --> 00:13:40,760
Speaker 6: passed committee, having had their hearings and markups. With this

263
00:13:40,880 --> 00:13:44,520
Speaker 6: AI language. The best I heard it described was by

264
00:13:44,559 --> 00:13:47,160
Speaker 6: Stephen Miller today when he was having a conversation with

265
00:13:47,280 --> 00:13:50,480
Speaker 6: Charlie Kirk, and he said that language is there. So

266
00:13:50,720 --> 00:13:56,120
Speaker 6: California does not set the standard for AI regulations because

267
00:13:56,240 --> 00:13:59,360
Speaker 6: they are the ones who have the state that has

268
00:13:59,440 --> 00:14:03,079
Speaker 6: the most operations taking place there and they do not

269
00:14:03,240 --> 00:14:05,600
Speaker 6: want them to be the standard bearer. Now, if that

270
00:14:05,720 --> 00:14:08,400
Speaker 6: holds water, we'll see. But I do know that I

271
00:14:08,440 --> 00:14:11,120
Speaker 6: have colleagues in the Senate who are working on that

272
00:14:11,200 --> 00:14:14,360
Speaker 6: portion of language. Now that it has been brought up

273
00:14:14,400 --> 00:14:17,000
Speaker 6: and brought to the attention of Congress, that the American

274
00:14:17,040 --> 00:14:19,160
Speaker 6: people want something done about it, all right.

275
00:14:19,320 --> 00:14:20,400
Speaker 2: That is all good news.

276
00:14:20,680 --> 00:14:22,800
Speaker 1: I would offer up this to Steven Miller, who I'm

277
00:14:22,840 --> 00:14:26,040
Speaker 1: a huge fan of. Is Texas, where we broadcast from,

278
00:14:26,240 --> 00:14:29,520
Speaker 1: is also big time in the race for these AI

279
00:14:29,720 --> 00:14:33,600
Speaker 1: data centers. If California is screwing it up, AI companies

280
00:14:33,600 --> 00:14:34,400
Speaker 1: aren't going to go there and.

281
00:14:34,400 --> 00:14:36,880
Speaker 2: Deal with their regulation. Let them regulate it all they want.

282
00:14:37,040 --> 00:14:39,800
Speaker 1: They'll come to Texas and we'll be happy to have them.

283
00:14:40,000 --> 00:14:41,440
Speaker 2: Last red thank you for you.

284
00:14:42,520 --> 00:14:46,160
Speaker 1: What's that I was going to say? Last word for you.

285
00:14:46,240 --> 00:14:48,600
Speaker 1: We've got to pass some of these spending cuts, these

286
00:14:48,640 --> 00:14:51,880
Speaker 1: recisions packages. I wanted to see us voting on these

287
00:14:51,920 --> 00:14:55,440
Speaker 1: hour by hour. Right now, when do we see them?

288
00:14:55,800 --> 00:14:56,040
Speaker 2: Yes?

289
00:14:56,120 --> 00:14:59,400
Speaker 6: Well, single subject spending cuts aren't going to pass the Senate.

290
00:14:59,640 --> 00:15:02,240
Speaker 2: They need sixty votes. Democrats are not going to help us.

291
00:15:02,840 --> 00:15:05,880
Speaker 6: But we are going to pass this recisions package. This

292
00:15:05,920 --> 00:15:08,640
Speaker 6: is more of a procedural vote, so I think that

293
00:15:08,680 --> 00:15:09,560
Speaker 6: will pass the Senate.

294
00:15:09,640 --> 00:15:09,960
Speaker 2: Just fine.

295
00:15:10,000 --> 00:15:12,680
Speaker 6: That's about nine billion dollars in cuts, and I want

296
00:15:12,720 --> 00:15:16,160
Speaker 6: to see more recisions package passed our way. We do

297
00:15:16,240 --> 00:15:18,520
Speaker 6: want to see those single subject bills passed out of

298
00:15:18,520 --> 00:15:22,040
Speaker 6: the House. Put people on record so the American people

299
00:15:22,080 --> 00:15:24,280
Speaker 6: know who to vote for, and grant. You can have

300
00:15:24,320 --> 00:15:26,920
Speaker 6: ten thousand new ice agents from this big beautiful bill.

301
00:15:27,080 --> 00:15:30,080
Speaker 6: You can have the AI headquarters. I'm fine with that

302
00:15:30,160 --> 00:15:33,720
Speaker 6: as long as Colorado gets to keep our precious space command.

303
00:15:35,080 --> 00:15:39,600
Speaker 1: Absolutely, I'll make that deal with you, no problem, deal, Yes, signed, sealed, delivered,

304
00:15:39,680 --> 00:15:42,120
Speaker 1: all right. Kira's woman, Lauren Pulward, it's so great having

305
00:15:42,120 --> 00:15:42,800
Speaker 1: you on the program.

306
00:15:42,840 --> 00:15:46,640
Speaker 2: Thank you as always thanks Grant. Hey, you got it

307
00:15:46,960 --> 00:15:47,680
Speaker 2: all right, folks.

308
00:15:48,200 --> 00:15:51,480
Speaker 1: Now other big news every day is a huge news

309
00:15:51,600 --> 00:15:54,520
Speaker 1: day with President Trump in office and the people he

310
00:15:54,560 --> 00:15:55,800
Speaker 1: surrounds himself with.

311
00:15:56,320 --> 00:15:58,480
Speaker 2: I want to turn now to China.

312
00:15:59,080 --> 00:16:02,040
Speaker 1: President Trump had a ninety minute phone call with President

313
00:16:02,160 --> 00:16:05,720
Speaker 1: Jijing Ping talking about the trade deal. Now, China is

314
00:16:05,760 --> 00:16:08,920
Speaker 1: in deep trouble. I almost use the S word. They're

315
00:16:08,960 --> 00:16:11,280
Speaker 1: in deep trouble. The problem with the guy like Jijing

316
00:16:11,400 --> 00:16:15,400
Speaker 1: Ping is heck, he'll make his people, you know, eat

317
00:16:15,440 --> 00:16:18,160
Speaker 1: bugs for crying out loud. He didn't care about his people.

318
00:16:18,800 --> 00:16:21,080
Speaker 1: But it looks like a corner President Trump.

319
00:16:21,640 --> 00:16:25,400
Speaker 2: They have a deal. No, I think we have everything.

320
00:16:25,520 --> 00:16:28,040
Speaker 3: I think we're very good shake with China and the

321
00:16:28,120 --> 00:16:31,840
Speaker 3: trade deal. We have a deal with China, as you know,

322
00:16:32,000 --> 00:16:34,200
Speaker 3: but we were straightening out some of the.

323
00:16:34,160 --> 00:16:39,520
Speaker 2: Points having to do mostly with rare earth magnets and

324
00:16:39,600 --> 00:16:42,320
Speaker 2: some other things. So it's reduced trade tariff rates. They

325
00:16:42,400 --> 00:16:45,840
Speaker 2: remain in effect. We have the deal. I mean, we've

326
00:16:45,880 --> 00:16:46,320
Speaker 2: had a deal.

327
00:16:46,320 --> 00:16:49,800
Speaker 3: We announced the deal, and what would be I.

328
00:16:49,720 --> 00:16:52,240
Speaker 9: Guess you could say, I wouldn't even say finalizing it

329
00:16:52,360 --> 00:16:54,040
Speaker 9: up Scott, I would say we have a deal and

330
00:16:54,040 --> 00:16:56,400
Speaker 9: we're going to just make sure that everybody understands what

331
00:16:56,480 --> 00:16:57,040
Speaker 9: the deal is.

332
00:16:58,680 --> 00:17:02,400
Speaker 1: Well, that's better news than the left wing media wants

333
00:17:02,440 --> 00:17:05,919
Speaker 1: to report, because you listen to President Trump there, he

334
00:17:06,080 --> 00:17:10,080
Speaker 1: seems to think this deal is signed, sealed, delivered. I

335
00:17:10,119 --> 00:17:12,680
Speaker 1: want to bring in now, senior research fellow for China

336
00:17:12,760 --> 00:17:15,920
Speaker 1: and National Security at the Heritage Foundation, Steve Yates.

337
00:17:16,320 --> 00:17:20,520
Speaker 2: Steve, welcome to the program. Thank you very much. All right.

338
00:17:20,560 --> 00:17:23,199
Speaker 1: In many respects, is the best thing that could have

339
00:17:23,240 --> 00:17:25,520
Speaker 1: come out of Trump's mouth when it comes to China.

340
00:17:26,119 --> 00:17:28,520
Speaker 1: But I don't know if I trust Shiji Bing.

341
00:17:28,560 --> 00:17:31,120
Speaker 2: Do you not even a little bit?

342
00:17:31,600 --> 00:17:34,960
Speaker 8: And I consider him to be among the most dangerous,

343
00:17:35,040 --> 00:17:38,960
Speaker 8: murderous leaders we have on the planet. I consider him

344
00:17:38,960 --> 00:17:41,840
Speaker 8: to be responsible for the millions who died under COVID,

345
00:17:42,640 --> 00:17:45,280
Speaker 8: the hundreds of thousands of Americans who've died from FENSANYL,

346
00:17:46,119 --> 00:17:48,560
Speaker 8: has stolen trillions of dollars from our economy in a

347
00:17:48,640 --> 00:17:51,160
Speaker 8: number of ways. So in some I don't think he's

348
00:17:51,200 --> 00:17:54,120
Speaker 8: a good guy. I also don't think we can trust

349
00:17:54,200 --> 00:17:56,119
Speaker 8: him as far as we can throw him. Now. I

350
00:17:56,160 --> 00:17:59,119
Speaker 8: think President Trump knows exactly how to deal with people

351
00:17:59,240 --> 00:17:59,520
Speaker 8: like this.

352
00:17:59,640 --> 00:18:03,320
Speaker 2: He sized up people like this his whole life.

353
00:18:03,440 --> 00:18:07,240
Speaker 8: And his career, So I have some grace that I

354
00:18:07,240 --> 00:18:11,159
Speaker 8: would give him in trying to engage this conversation. And

355
00:18:11,240 --> 00:18:14,600
Speaker 8: we do need a fundamental reset in our relationship with China.

356
00:18:14,680 --> 00:18:18,000
Speaker 8: President Trump did not dig us into the multiple trillion

357
00:18:18,040 --> 00:18:21,480
Speaker 8: dollar hold of dependency with China. He's trying to push

358
00:18:21,520 --> 00:18:23,840
Speaker 8: the big golden reset to go the other direction.

359
00:18:24,320 --> 00:18:25,320
Speaker 2: I don't think it's going to be.

360
00:18:25,320 --> 00:18:29,640
Speaker 8: As fast as easy as sometimes the words make it sound.

361
00:18:30,000 --> 00:18:32,440
Speaker 8: And I don't think she's going to come along willingly

362
00:18:32,480 --> 00:18:35,760
Speaker 8: and happily. But I think that President Trump is going

363
00:18:35,800 --> 00:18:39,840
Speaker 8: to bring strong incentives and disincentives to the table, and

364
00:18:39,880 --> 00:18:42,600
Speaker 8: that's going to be up to trust Secretary Treasury Vessent

365
00:18:42,720 --> 00:18:45,359
Speaker 8: to lead the way in the follow up. So we

366
00:18:45,440 --> 00:18:47,800
Speaker 8: have a deal to negotiate, I don't think we have

367
00:18:47,840 --> 00:18:49,160
Speaker 8: a deal to implement.

368
00:18:48,840 --> 00:18:53,680
Speaker 1: Yet, all right, And that's what really everybody's waiting for

369
00:18:53,800 --> 00:18:56,000
Speaker 1: a signed deal that we can actually count on. I

370
00:18:56,000 --> 00:18:57,159
Speaker 1: don't know if we ever get to the point we

371
00:18:57,200 --> 00:18:58,560
Speaker 1: can actually count on it with China.

372
00:18:58,600 --> 00:18:59,399
Speaker 2: And I'll tell you why.

373
00:19:00,080 --> 00:19:03,360
Speaker 1: You know, as President Trump's negotiating this deal with Jijingping,

374
00:19:03,400 --> 00:19:06,800
Speaker 1: we get word yesterday day before that there was this

375
00:19:06,960 --> 00:19:13,679
Speaker 1: agro terrorism fungus that a researcher Chinese student ties to

376
00:19:13,720 --> 00:19:15,080
Speaker 1: the CCP.

377
00:19:14,800 --> 00:19:16,360
Speaker 2: At the University of Michigan.

378
00:19:17,000 --> 00:19:21,800
Speaker 1: They sneak this Fusarium granderrium. However, you say at a

379
00:19:21,840 --> 00:19:26,320
Speaker 1: fungus that's responds billions of dollars in crop, Yeah, billions

380
00:19:26,320 --> 00:19:30,480
Speaker 1: of dollars in crop damage and also can play quite a.

381
00:19:30,480 --> 00:19:33,160
Speaker 2: Role in making human sick.

382
00:19:34,000 --> 00:19:36,120
Speaker 1: This is coming in. There's no doubt in my mind

383
00:19:36,160 --> 00:19:37,600
Speaker 1: the CCP was behind this.

384
00:19:37,760 --> 00:19:40,080
Speaker 2: Steve no and.

385
00:19:39,920 --> 00:19:44,560
Speaker 8: Then the FBI documentation they intimate that in the electronics

386
00:19:44,560 --> 00:19:47,960
Speaker 8: I assume the phone of one of these travelers, there

387
00:19:48,160 --> 00:19:52,000
Speaker 8: was a document that was titled something along the lines

388
00:19:52,040 --> 00:19:57,800
Speaker 8: of plant contagion Warfare. And so, I mean, who writes

389
00:19:57,920 --> 00:20:00,920
Speaker 8: things like that, Who takes some like that on their

390
00:20:01,000 --> 00:20:05,080
Speaker 8: phone to travel abroad? Well, maybe wonky researchers do, but

391
00:20:05,119 --> 00:20:08,159
Speaker 8: it's pretty much the People's Liberation Army that does stuff

392
00:20:08,160 --> 00:20:08,359
Speaker 8: like this.

393
00:20:08,400 --> 00:20:10,200
Speaker 2: And it's not like this is a one off.

394
00:20:10,560 --> 00:20:12,879
Speaker 8: There were students in Florida that were going around to

395
00:20:12,920 --> 00:20:16,560
Speaker 8: the University of Florida getting unauthorized toxins and other things

396
00:20:16,560 --> 00:20:19,040
Speaker 8: to send back to China to do bad things. In

397
00:20:19,040 --> 00:20:21,960
Speaker 8: twenty twenty two, there is this weird lab in California

398
00:20:22,200 --> 00:20:25,240
Speaker 8: and all kinds of scary stuff in it, and it's

399
00:20:25,280 --> 00:20:27,160
Speaker 8: just like, one of these things is not like the others.

400
00:20:27,280 --> 00:20:30,520
Speaker 8: Is only one country that this keeps happening with, so

401
00:20:30,600 --> 00:20:33,160
Speaker 8: you stack it up with COVID and fentanyl and other things,

402
00:20:33,200 --> 00:20:34,960
Speaker 8: and it's like, well, this is really different.

403
00:20:35,000 --> 00:20:36,080
Speaker 2: So this is hard.

404
00:20:36,200 --> 00:20:38,199
Speaker 8: President Trump's going to have to push really hard on

405
00:20:38,240 --> 00:20:39,240
Speaker 8: rebalancing that part.

406
00:20:39,280 --> 00:20:41,159
Speaker 2: Yeah, yeah, think about it.

407
00:20:41,200 --> 00:20:43,720
Speaker 1: You're trying to do this trade deal and literally you're

408
00:20:43,760 --> 00:20:48,160
Speaker 1: bringing in China is bringing in a fungus that could

409
00:20:48,240 --> 00:20:51,680
Speaker 1: wipe out our crops. That's about feeding American citizens, that's

410
00:20:51,680 --> 00:20:56,280
Speaker 1: about making Americans sick. I wonder I would hope President

411
00:20:56,280 --> 00:20:58,600
Speaker 1: Trump brought this up today on the phone conversation. I'm

412
00:20:58,640 --> 00:21:00,159
Speaker 1: not sure if any of the media asked them about it,

413
00:21:00,240 --> 00:21:00,880
Speaker 1: but you would.

414
00:21:00,760 --> 00:21:03,000
Speaker 2: Hope, Yeah, you would hope.

415
00:21:03,040 --> 00:21:05,560
Speaker 8: I mean, really, fundamentally, it begs the question, can you

416
00:21:05,640 --> 00:21:10,480
Speaker 8: have normal negotiations and relations with a government that allows

417
00:21:10,600 --> 00:21:14,439
Speaker 8: things like this to happen with impunity and even worse

418
00:21:14,560 --> 00:21:16,520
Speaker 8: if they know about it and they're doing it. And

419
00:21:16,560 --> 00:21:19,600
Speaker 8: I don't think that these are secret in the CCP system.

420
00:21:19,680 --> 00:21:22,439
Speaker 8: I mean Cigmping's government cracks down on people who have

421
00:21:22,560 --> 00:21:26,440
Speaker 8: unauthorized pictures of Winnie the Pooh because they resemble his physique.

422
00:21:26,840 --> 00:21:30,080
Speaker 8: And so I mean no doubt in my mind he knows.

423
00:21:30,119 --> 00:21:33,280
Speaker 8: The CCP knows, and so I think President Trump is

424
00:21:33,400 --> 00:21:36,639
Speaker 8: wise to this. But really, one of the only reasons

425
00:21:36,680 --> 00:21:39,159
Speaker 8: we have a federal government is to provide for the

426
00:21:39,200 --> 00:21:43,879
Speaker 8: common defense, protect our citizens. And right now, the People's

427
00:21:43,920 --> 00:21:47,000
Speaker 8: Republic of China, I think has brought more casualties to

428
00:21:47,000 --> 00:21:50,200
Speaker 8: the American citizenry than anyone in modern history has.

429
00:21:51,320 --> 00:21:53,560
Speaker 1: Yeah, and I'm glad you point out it is the

430
00:21:53,560 --> 00:21:57,200
Speaker 1: People's Republic of China, it's the CCP. The Chinese people,

431
00:21:57,240 --> 00:21:59,320
Speaker 1: I believe are victims in all of this. I think

432
00:21:59,359 --> 00:22:02,000
Speaker 1: they really are under the thumb of a dictator and

433
00:22:02,760 --> 00:22:05,560
Speaker 1: it's sad. Hopefully President Trump, if anybody, can do what

434
00:22:05,640 --> 00:22:08,560
Speaker 1: President Trump can, and I know he's always consulting with

435
00:22:08,880 --> 00:22:11,280
Speaker 1: all of you folks over Heritage Foundation, which I appreciate.

436
00:22:11,280 --> 00:22:14,280
Speaker 2: Steve Yates, thank you a pleasure, Thank you so much.

437
00:22:15,119 --> 00:22:20,960
Speaker 1: Absolutely, you know this crop agro terrorism could really do

438
00:22:21,080 --> 00:22:24,000
Speaker 1: some serious damage. Then I read GNC, you know, the

439
00:22:24,040 --> 00:22:27,440
Speaker 1: Vitamin Store. I had no idea the CCP owns it.

440
00:22:27,480 --> 00:22:30,879
Speaker 1: Guess where there's a GNC on Every military base across

441
00:22:30,960 --> 00:22:33,360
Speaker 1: the country has a GNC. We've got to really get

442
00:22:33,359 --> 00:22:35,399
Speaker 1: to the bottom of how much access we're giving the

443
00:22:35,440 --> 00:22:37,399
Speaker 1: CCP in this country. It's a real problem. We're going

444
00:22:37,440 --> 00:22:39,160
Speaker 1: to talk about that a little later in the program

445
00:22:39,200 --> 00:22:42,520
Speaker 1: as well. All right, tax day has passed, but for millions,

446
00:22:42,560 --> 00:22:45,560
Speaker 1: the real trouble is just beginning. Missed the April fifteenth

447
00:22:45,600 --> 00:22:48,320
Speaker 1: deadline or rope back taxes. With five thousand new tax

448
00:22:48,400 --> 00:22:52,119
Speaker 1: liens daily plus seizure's levies and garnishments, the IRS is

449
00:22:52,119 --> 00:22:55,800
Speaker 1: cracking down hard. But there's hope. Tax Network USA can

450
00:22:55,880 --> 00:22:58,560
Speaker 1: help you. Are you self employed or a business owner

451
00:22:58,560 --> 00:23:01,720
Speaker 1: with messy books, they clean it up past Your free

452
00:23:01,720 --> 00:23:05,840
Speaker 1: consultation could stop penalties, letters and levies before they escalate.

453
00:23:06,200 --> 00:23:08,879
Speaker 1: Call one eight hundred nine oh five eight thousand or

454
00:23:09,040 --> 00:23:14,359
Speaker 1: visit TNUSA dot com. Forward slash rev act now before

455
00:23:14,400 --> 00:23:15,320
Speaker 1: the IRS does.

456
00:23:16,200 --> 00:23:19,040
Speaker 2: All right, it is no question that leftist.

457
00:23:18,600 --> 00:23:24,879
Speaker 1: Policies make communities less safe, dangerous, but now we have

458
00:23:24,960 --> 00:23:28,560
Speaker 1: the numbers to literally back it up. We get into

459
00:23:28,600 --> 00:23:44,440
Speaker 1: it next. Welcome back everyone. We know when it comes

460
00:23:44,480 --> 00:23:48,480
Speaker 1: to keeping communities safe, there's no more aspect that's important

461
00:23:48,880 --> 00:23:50,040
Speaker 1: than our police.

462
00:23:50,560 --> 00:23:50,800
Speaker 2: Now.

463
00:23:50,880 --> 00:23:54,760
Speaker 1: It takes community involvement to get behind the police. From

464
00:23:54,760 --> 00:23:58,560
Speaker 1: a city hall perspective and from a community involvement perspective.

465
00:23:59,000 --> 00:24:02,280
Speaker 1: President Trump had some of a roundtable today at the

466
00:24:02,320 --> 00:24:05,800
Speaker 1: White House. He talked about how we retain cops and

467
00:24:05,880 --> 00:24:07,520
Speaker 1: get more cops into the system.

468
00:24:07,600 --> 00:24:11,760
Speaker 9: Listen, I ordered other federal agencies to boost funding for

469
00:24:11,840 --> 00:24:15,760
Speaker 9: police recruitment, retention, and pay. And I've asked Attorney General

470
00:24:15,840 --> 00:24:19,119
Speaker 9: Bondi to pursue the death penalty for anyone convicted of

471
00:24:19,240 --> 00:24:22,199
Speaker 9: killing a police officer, which is very appropriate.

472
00:24:24,119 --> 00:24:26,360
Speaker 2: All right, so all great stuff.

473
00:24:26,720 --> 00:24:28,600
Speaker 1: You kill a police officer, you ought to face the

474
00:24:28,600 --> 00:24:33,880
Speaker 1: death penalty many states, that's already the situation now. President

475
00:24:33,880 --> 00:24:39,840
Speaker 1: Trump is also overturning these restrictive so called consent decrees.

476
00:24:40,560 --> 00:24:43,320
Speaker 1: These were big during the Obama administration, big during the

477
00:24:43,359 --> 00:24:48,480
Speaker 1: Biden administration, where the Biden DOJ would make deals with

478
00:24:48,520 --> 00:24:51,920
Speaker 1: the police departments that we're gonna give big time oversight

479
00:24:52,000 --> 00:24:55,320
Speaker 1: to you. We're gonna make you hire diversity, equity and

480
00:24:55,400 --> 00:24:59,200
Speaker 1: inclusion hires. We're gonna make you hire more minorities, make

481
00:24:59,240 --> 00:25:03,000
Speaker 1: you hire more females, and make you conform to this

482
00:25:03,080 --> 00:25:05,640
Speaker 1: politically correct version of the police that they want that's

483
00:25:05,640 --> 00:25:06,600
Speaker 1: not a crime.

484
00:25:06,320 --> 00:25:08,480
Speaker 2: Fighting version of police.

485
00:25:08,600 --> 00:25:14,160
Speaker 1: Well, this is micromanaging, and it turns out the communities

486
00:25:14,800 --> 00:25:19,000
Speaker 1: are less safe because of this. Trump is ending this.

487
00:25:19,040 --> 00:25:21,359
Speaker 1: Here's Pam Bondi, the Attorney General.

488
00:25:22,000 --> 00:25:27,199
Speaker 5: We're also ending consent decrees that take control away from you,

489
00:25:27,960 --> 00:25:29,480
Speaker 5: destroy morale.

490
00:25:29,680 --> 00:25:31,560
Speaker 2: And increase violence.

491
00:25:32,280 --> 00:25:36,480
Speaker 5: Instead, we're working with local law enforcement to give you

492
00:25:36,560 --> 00:25:39,600
Speaker 5: the tools that you need to make our streets safer.

493
00:25:41,800 --> 00:25:46,080
Speaker 1: All right, So don't micro manage police departments from a

494
00:25:46,119 --> 00:25:47,919
Speaker 1: federal level, from any level.

495
00:25:47,960 --> 00:25:48,240
Speaker 2: Really.

496
00:25:48,720 --> 00:25:51,080
Speaker 1: So here's the thing you want, the proof. The Crime

497
00:25:51,080 --> 00:25:54,119
Speaker 1: Prevention Research Center today study. We've got a lot of

498
00:25:54,119 --> 00:25:56,240
Speaker 1: statistics to go through. I'm going to give you one though.

499
00:25:57,160 --> 00:26:02,920
Speaker 1: This is before consent decree were instituted. There was five

500
00:26:02,960 --> 00:26:08,560
Speaker 1: point three percent less crime. After the consent decree is instituted,

501
00:26:08,680 --> 00:26:11,320
Speaker 1: crime goes up by nearly five percent.

502
00:26:11,840 --> 00:26:14,920
Speaker 2: Okay, why is that. I'll tell you why.

503
00:26:14,920 --> 00:26:18,760
Speaker 1: It is because they're not policing and they're hiring inferior

504
00:26:18,880 --> 00:26:21,840
Speaker 1: police officers and getting in the way of the officers'

505
00:26:21,840 --> 00:26:22,960
Speaker 1: ability to do their job.

506
00:26:23,520 --> 00:26:25,679
Speaker 2: I want to bring in now to talk about this.

507
00:26:25,880 --> 00:26:28,760
Speaker 1: The man behind that study, the President of the Crime

508
00:26:28,800 --> 00:26:31,320
Speaker 1: Prevention Research Center, Doctor John Lott is with us.

509
00:26:31,520 --> 00:26:34,480
Speaker 2: John, it's great to have you back on It's great

510
00:26:34,480 --> 00:26:35,520
Speaker 2: to talk to you again. Grant.

511
00:26:36,440 --> 00:26:39,199
Speaker 1: All right, I take it you expected these results, but

512
00:26:39,320 --> 00:26:41,800
Speaker 1: what was your response when they started to come in.

513
00:26:43,840 --> 00:26:46,760
Speaker 7: Well, I mean some of the impacts are pretty large.

514
00:26:47,840 --> 00:26:51,440
Speaker 7: You know, you have two different types of affirmative action

515
00:26:51,640 --> 00:26:55,680
Speaker 7: rules that they have there. The issue isn't hiring minorities

516
00:26:55,760 --> 00:26:58,760
Speaker 7: or hiring women. It's the fact that they're changing the

517
00:26:58,840 --> 00:27:02,760
Speaker 7: standards for people to get hired. So, for example, there

518
00:27:02,760 --> 00:27:05,920
Speaker 7: are two basic changes that they make. Either they get

519
00:27:06,000 --> 00:27:08,679
Speaker 7: rid of things like intelligence tests, and these are not

520
00:27:09,160 --> 00:27:12,719
Speaker 7: complicated things. It's basic math. It's ability to go and

521
00:27:12,760 --> 00:27:16,639
Speaker 7: write and read. And the reason why you want to

522
00:27:16,680 --> 00:27:19,520
Speaker 7: go and test whether somebody can read and write is

523
00:27:19,520 --> 00:27:22,840
Speaker 7: that they have to fill out police reports that are there.

524
00:27:23,400 --> 00:27:26,760
Speaker 7: And what you find when many of these rules get

525
00:27:26,840 --> 00:27:30,000
Speaker 7: changed so they no longer test for people's ability to

526
00:27:30,080 --> 00:27:34,440
Speaker 7: do things like write, you're going to get trials where

527
00:27:34,440 --> 00:27:36,880
Speaker 7: they're not able to go and use the police report

528
00:27:36,920 --> 00:27:40,119
Speaker 7: that they can't bring the officers on to go and

529
00:27:40,160 --> 00:27:43,239
Speaker 7: testify to what they see because the police reports are

530
00:27:43,320 --> 00:27:48,560
Speaker 7: basically incomprehensible and the defense attorney is going to tear

531
00:27:48,960 --> 00:27:51,959
Speaker 7: their reports apart there and so what you have happened

532
00:27:52,080 --> 00:27:55,879
Speaker 7: then is that prosecutors drop those cases. And so it

533
00:27:55,960 --> 00:27:58,399
Speaker 7: makes it so that it's less risky for criminals to

534
00:27:58,440 --> 00:28:01,359
Speaker 7: go and commit crime, and that's what they commit, more crime.

535
00:28:02,359 --> 00:28:05,200
Speaker 2: All right, Look, this is my belief.

536
00:28:05,960 --> 00:28:10,560
Speaker 1: The reason they lower the standards is because they want

537
00:28:10,640 --> 00:28:14,200
Speaker 1: to hire more minorities, and not enough minorities were passing

538
00:28:14,240 --> 00:28:17,080
Speaker 1: the test that they originally had. Now they may tell

539
00:28:17,080 --> 00:28:19,520
Speaker 1: you that's the case or not the case, but that

540
00:28:19,720 --> 00:28:22,800
Speaker 1: leads to the whole DEI. That's why I believe DEI

541
00:28:22,880 --> 00:28:25,679
Speaker 1: played such a role. Now you add another statistic, this

542
00:28:25,800 --> 00:28:27,880
Speaker 1: is graphics too. I want the guys to put up

543
00:28:28,720 --> 00:28:32,320
Speaker 1: DEI hiring practices correlate with increasing crime rates. A one

544
00:28:32,440 --> 00:28:37,880
Speaker 1: percent increase in DEI hires equals a four percent increase

545
00:28:38,000 --> 00:28:42,600
Speaker 1: in property crime and a five percent increase in violent crime.

546
00:28:43,000 --> 00:28:46,560
Speaker 1: So just increasing the DEI hires one percent had that

547
00:28:46,680 --> 00:28:48,560
Speaker 1: dramatic effect on crime like that.

548
00:28:50,520 --> 00:28:55,040
Speaker 7: Well, unfortunately, you know those were the numbers that are there.

549
00:28:55,480 --> 00:28:59,520
Speaker 7: And you know you have, as I say, you have

550
00:28:59,560 --> 00:29:03,240
Speaker 7: two different things. One is you also have not just

551
00:29:03,640 --> 00:29:07,680
Speaker 7: the intelligence test, but you also have physical strength changes

552
00:29:07,720 --> 00:29:12,040
Speaker 7: that are there, and what you're talking about is very explicit.

553
00:29:12,120 --> 00:29:15,520
Speaker 7: They do these changes precisely to make sure that more

554
00:29:15,600 --> 00:29:19,959
Speaker 7: minorities will get hired. And everybody can want more minorities

555
00:29:19,960 --> 00:29:22,480
Speaker 7: to be hired, but the question is you want to

556
00:29:22,520 --> 00:29:25,160
Speaker 7: have a certain standard. There's a rule reason why the

557
00:29:25,240 --> 00:29:27,240
Speaker 7: rules were there, and also for the strength test. The

558
00:29:27,280 --> 00:29:32,760
Speaker 7: strength tests changes are basically done to get more women

559
00:29:32,920 --> 00:29:36,760
Speaker 7: to be able to go and qualify. But it's not

560
00:29:36,920 --> 00:29:40,280
Speaker 7: just with police departments. The buy An administration was pushing

561
00:29:40,440 --> 00:29:45,560
Speaker 7: changes in hiring rules and promotion rules for fire departments.

562
00:29:45,640 --> 00:29:49,360
Speaker 7: Last year, you had a situation where one of the

563
00:29:49,400 --> 00:29:52,280
Speaker 7: top people in the Los Angeles Fire Department, when they

564
00:29:52,280 --> 00:29:55,320
Speaker 7: were having all these fires and palisades and other places,

565
00:29:56,000 --> 00:29:58,720
Speaker 7: was asked the question about what would she do if

566
00:29:58,760 --> 00:30:03,280
Speaker 7: she went into a house and the spouse of one

567
00:30:03,320 --> 00:30:06,880
Speaker 7: of the of a woman there was there and she

568
00:30:06,920 --> 00:30:10,320
Speaker 7: couldn't carry them out. And her response was, well, it's

569
00:30:10,320 --> 00:30:13,000
Speaker 7: basically his fault for being in the wrong place at

570
00:30:13,000 --> 00:30:14,920
Speaker 7: the wrong time and having you deal with the fire.

571
00:30:15,360 --> 00:30:18,480
Speaker 7: You know, there's a reason why we have certain strength

572
00:30:18,520 --> 00:30:22,000
Speaker 7: requirements and when for police departments when you get rid

573
00:30:22,040 --> 00:30:24,240
Speaker 7: of them, you see a lot of changes in how

574
00:30:24,280 --> 00:30:27,640
Speaker 7: police departments are organized. You see a movement away from

575
00:30:27,680 --> 00:30:30,880
Speaker 7: single officer patrol units to two officer patrol units.

576
00:30:30,880 --> 00:30:31,880
Speaker 2: That means you can't.

577
00:30:31,640 --> 00:30:34,800
Speaker 7: Cover as much area. You see the elimination of foot

578
00:30:34,800 --> 00:30:38,520
Speaker 7: patrols or bicycle patrols and moving to car patrols. There's

579
00:30:38,520 --> 00:30:41,280
Speaker 7: a reason why they wanted to have some people that

580
00:30:41,320 --> 00:30:44,160
Speaker 7: would walk around and get to meet the people more

581
00:30:44,200 --> 00:30:45,240
Speaker 7: that were in the area.

582
00:30:46,560 --> 00:30:48,840
Speaker 1: You also want to get to one more statistic john

583
00:30:48,880 --> 00:30:51,720
Speaker 1: before before because I think this was an important one

584
00:30:52,360 --> 00:30:53,600
Speaker 1: and a couple of things.

585
00:30:53,600 --> 00:30:54,560
Speaker 2: I want to make clear everybody.

586
00:30:54,640 --> 00:30:57,120
Speaker 1: I'm not against minorities in these departments. You need them

587
00:30:57,600 --> 00:31:01,480
Speaker 1: in impoverished areas. Know you have black officers going into

588
00:31:01,520 --> 00:31:02,800
Speaker 1: predominant black neighborhoods.

589
00:31:02,800 --> 00:31:03,400
Speaker 2: That's a good thing.

590
00:31:03,880 --> 00:31:07,600
Speaker 1: Some of these Asian neighborhoods Vietnamese officers. There's like no

591
00:31:07,720 --> 00:31:10,880
Speaker 1: trust of law enforcement on the Vietnamese community. You need

592
00:31:10,960 --> 00:31:15,800
Speaker 1: Vietnamese officers, so I get that. But you can't sacrifice standards.

593
00:31:15,960 --> 00:31:19,960
Speaker 1: And this was interesting because you talk about strength. We

594
00:31:20,000 --> 00:31:22,160
Speaker 1: know there's a debate about men versus women. I'm here

595
00:31:22,160 --> 00:31:25,600
Speaker 1: to tell you overall men are stronger than women. I

596
00:31:25,680 --> 00:31:29,080
Speaker 1: know there are anominalies, but overall this is a core

597
00:31:29,160 --> 00:31:33,560
Speaker 1: to the Crime Prevention Research Center. Assaults on police increase

598
00:31:34,280 --> 00:31:38,640
Speaker 1: with more female officers. A one percent increase of female

599
00:31:38,680 --> 00:31:43,400
Speaker 1: police officers correlates with a fifteen to twenty percent increase

600
00:31:43,800 --> 00:31:45,280
Speaker 1: in police assaults.

601
00:31:45,840 --> 00:31:47,200
Speaker 2: John, that's stunning.

602
00:31:46,800 --> 00:31:48,800
Speaker 1: Because we don't want to see our cops getting assaulted.

603
00:31:48,840 --> 00:31:50,080
Speaker 1: I'll give you the last word.

604
00:31:51,240 --> 00:31:53,920
Speaker 7: Right well, I mean criminals when they're making a decision

605
00:31:54,000 --> 00:31:56,800
Speaker 7: whether or not to assault a police officer who's trying

606
00:31:56,800 --> 00:31:59,720
Speaker 7: to arrest them, their calculation is can I get away

607
00:31:59,760 --> 00:32:02,120
Speaker 7: with it? Am I going to be successful in assaulting

608
00:32:02,160 --> 00:32:06,440
Speaker 7: the police officer? And the problem is is that what

609
00:32:06,480 --> 00:32:10,960
Speaker 7: you actually find is more accidental shootings when you lower

610
00:32:11,040 --> 00:32:16,000
Speaker 7: the strength standards for women. That a strong police officer,

611
00:32:16,400 --> 00:32:19,680
Speaker 7: if he's having to come into physical contact with the criminal,

612
00:32:20,160 --> 00:32:23,560
Speaker 7: knows that if things get bad, he has his strength

613
00:32:23,640 --> 00:32:26,040
Speaker 7: to be able to fall back on. But if you're

614
00:32:26,080 --> 00:32:30,040
Speaker 7: a relatively weaker officer that's there and you're facing attack,

615
00:32:30,080 --> 00:32:32,800
Speaker 7: you're more likely to have to use your gun quickly

616
00:32:32,920 --> 00:32:35,880
Speaker 7: just because you can't risk what might happen if you

617
00:32:36,000 --> 00:32:38,840
Speaker 7: actually have to physically deal with the criminal there.

618
00:32:38,920 --> 00:32:39,120
Speaker 2: Yeah.

619
00:32:39,880 --> 00:32:44,719
Speaker 1: Yeah, it's one of my biggest mantras out there for

620
00:32:44,880 --> 00:32:46,840
Speaker 1: all police officers, not just women.

621
00:32:47,280 --> 00:32:50,080
Speaker 2: You have got to be in shape. It is life

622
00:32:50,200 --> 00:32:50,640
Speaker 2: or death.

623
00:32:50,880 --> 00:32:53,120
Speaker 1: This is not a desk job sitting behind in a

624
00:32:53,120 --> 00:32:56,000
Speaker 1: cubicle some place. You got people, very strong people that

625
00:32:56,080 --> 00:32:56,840
Speaker 1: will kill you.

626
00:32:56,680 --> 00:32:58,240
Speaker 2: You have to be in shape.

627
00:32:58,480 --> 00:32:58,720
Speaker 7: Men.

628
00:32:59,000 --> 00:33:01,240
Speaker 1: That goes for you to because there's a lot of

629
00:33:01,480 --> 00:33:05,600
Speaker 1: not in shape cops out there from both sexes, and

630
00:33:06,040 --> 00:33:06,600
Speaker 1: that's got to.

631
00:33:06,640 --> 00:33:08,440
Speaker 2: Change because it will get people killed.

632
00:33:08,800 --> 00:33:10,920
Speaker 1: Doctor John Lott, I appreciate the work you always do.

633
00:33:10,960 --> 00:33:14,120
Speaker 1: It's always fascinating, keep us, keep us informed with.

634
00:33:14,040 --> 00:33:14,640
Speaker 2: The next study.

635
00:33:15,560 --> 00:33:16,920
Speaker 7: Well, thank you very much, Grant.

636
00:33:18,000 --> 00:33:19,400
Speaker 2: Absolutely always good to see you.

637
00:33:19,800 --> 00:33:22,520
Speaker 1: All right, folks, you need to learn about energized health

638
00:33:22,600 --> 00:33:26,400
Speaker 1: and intercellular hydration. Hey, if you're one of those overweight officers,

639
00:33:26,440 --> 00:33:31,440
Speaker 1: listen call energized Health. Supercharge your energy, boost your immune system,

640
00:33:31,560 --> 00:33:35,280
Speaker 1: and dramatically increase your brain function, look and feel years younger,

641
00:33:35,320 --> 00:33:37,360
Speaker 1: all for simple and natural process.

642
00:33:37,400 --> 00:33:38,040
Speaker 2: Don't believe me.

643
00:33:38,320 --> 00:33:40,840
Speaker 1: Go to energized health dot com check out hundreds of

644
00:33:40,880 --> 00:33:44,640
Speaker 1: amazing testimonials. Energized Health offers a one hundred percent money

645
00:33:44,640 --> 00:33:47,640
Speaker 1: back guarantee. They're A plus rated and have helped thousands

646
00:33:47,680 --> 00:33:48,560
Speaker 1: over twenty years.

647
00:33:48,880 --> 00:33:50,520
Speaker 2: Go to Energized health dot com.

648
00:33:50,520 --> 00:33:53,960
Speaker 1: While you're there, check out their free masterclass that's energized

649
00:33:53,960 --> 00:33:55,920
Speaker 1: health dot com. I told you with them, I lost

650
00:33:55,920 --> 00:33:59,520
Speaker 1: fifteen pounds in two weeks on that program. When you

651
00:33:59,560 --> 00:34:02,040
Speaker 1: call them, go to the website energize heelth dot com

652
00:34:02,040 --> 00:34:04,560
Speaker 1: and you tell him Grant Stinchfield send you all right.

653
00:34:04,640 --> 00:34:07,760
Speaker 1: Arizona's governor veto d a bill that would ban the

654
00:34:07,800 --> 00:34:12,360
Speaker 1: CCP from owning land in her state. What is the

655
00:34:12,400 --> 00:34:15,160
Speaker 1: governor of Arizona thinking, it's next.

656
00:34:26,560 --> 00:34:27,480
Speaker 2: Welcome back everyone.

657
00:34:27,480 --> 00:34:29,879
Speaker 1: So, as President Trump says he's got a trade deal

658
00:34:29,920 --> 00:34:33,439
Speaker 1: in the making with Jijingping, the leader of China, We've

659
00:34:33,480 --> 00:34:36,680
Speaker 1: got to ask ourselves how far do we let China

660
00:34:36,760 --> 00:34:40,200
Speaker 1: infiltrate itself into the United States, specifically the CCP.

661
00:34:40,360 --> 00:34:41,480
Speaker 2: Take a look at this map.

662
00:34:42,160 --> 00:34:48,319
Speaker 1: This is farmland property owned by CCP controlled entities here

663
00:34:48,320 --> 00:34:49,200
Speaker 1: in the United States.

664
00:34:49,440 --> 00:34:51,160
Speaker 2: Those red sections.

665
00:34:50,680 --> 00:34:55,760
Speaker 1: On the map, most of them are near military basis. Well,

666
00:34:55,880 --> 00:35:01,040
Speaker 1: in Arizona, there was a bill up to to ban

667
00:35:01,520 --> 00:35:05,120
Speaker 1: the CCP from owning property in Arizona. It passed the

668
00:35:05,160 --> 00:35:08,640
Speaker 1: House and Senate went to the governor's desk. Katie Hobbs,

669
00:35:08,640 --> 00:35:11,839
Speaker 1: the radical liberal vetoed it. I want to bring in

670
00:35:11,920 --> 00:35:17,760
Speaker 1: now Republican senator from Arizona, Wendy Rogers is with. Senator's

671
00:35:17,760 --> 00:35:19,560
Speaker 1: great to have you back on the program.

672
00:35:20,000 --> 00:35:22,879
Speaker 10: Thanks, great to be with you. I'm actually traveling. I'm

673
00:35:22,920 --> 00:35:25,759
Speaker 10: with a bunch of other state legislators from all over

674
00:35:25,800 --> 00:35:29,880
Speaker 10: the country up here in Alaska, the Great White North,

675
00:35:30,080 --> 00:35:35,200
Speaker 10: and we're discussing elections problems. But at dinner last night

676
00:35:35,280 --> 00:35:39,440
Speaker 10: they all knew about this, Hobbs veto. It's a national

677
00:35:39,640 --> 00:35:40,920
Speaker 10: security concern.

678
00:35:42,920 --> 00:35:45,160
Speaker 1: How big of a concern is it for not just

679
00:35:45,320 --> 00:35:48,600
Speaker 1: Arizona but others. You're a longtime member of the United

680
00:35:48,600 --> 00:35:54,919
Speaker 1: States military, Senator, They've got property around military basis, sensitive locations.

681
00:35:55,680 --> 00:35:57,279
Speaker 2: How does she veto something.

682
00:35:57,040 --> 00:36:03,080
Speaker 10: Like this, I don't know. It's unexplainable. But China will

683
00:36:03,080 --> 00:36:07,759
Speaker 10: tell you their mo is to take over without a

684
00:36:07,840 --> 00:36:12,000
Speaker 10: shot being fired. And my colleague a great shout out

685
00:36:12,080 --> 00:36:15,839
Speaker 10: to Senator Janey Shamp who ran this bill, who has

686
00:36:16,360 --> 00:36:20,279
Speaker 10: Luke Air Force Base in her district, Luke Air Force

687
00:36:20,400 --> 00:36:23,120
Speaker 10: Base where we train F thirty five pilots. I was

688
00:36:23,160 --> 00:36:28,200
Speaker 10: a C one pilot as a career pilot myself. We

689
00:36:28,320 --> 00:36:31,640
Speaker 10: have more than Luke Air Force Base in Arizona. You

690
00:36:31,719 --> 00:36:36,719
Speaker 10: saw that huge chunk of red space in Arizona. We

691
00:36:36,840 --> 00:36:41,720
Speaker 10: have Fort Watchuka, which is the Army's center for intelligence

692
00:36:42,600 --> 00:36:46,120
Speaker 10: of all things. We have the Yuma Proving Ground. We

693
00:36:46,200 --> 00:36:51,640
Speaker 10: have Davis monthan Air Force base outside Tucson. We have

694
00:36:51,880 --> 00:36:56,239
Speaker 10: Camp Navajo up in my district near Flagstaff. And the

695
00:36:56,320 --> 00:36:59,080
Speaker 10: list goes on and on, and this is what they do.

696
00:36:59,280 --> 00:37:03,400
Speaker 10: And the bill even says that the land has to

697
00:37:03,440 --> 00:37:06,839
Speaker 10: be thirty percent or more owned by the CCP. Well,

698
00:37:06,840 --> 00:37:10,560
Speaker 10: grant you and I know that nothing happens as far

699
00:37:10,600 --> 00:37:15,320
Speaker 10: as China goes without the CCP being completely involved.

700
00:37:17,080 --> 00:37:20,680
Speaker 1: That's exactly right, and they are very good at hiding

701
00:37:20,719 --> 00:37:25,320
Speaker 1: their ties to these companies as well. Arizona's not alone,

702
00:37:25,360 --> 00:37:28,440
Speaker 1: you know. I broadcast from Texas. The legislative session in

703
00:37:28,480 --> 00:37:31,400
Speaker 1: Texas just ended. There was a big push to do

704
00:37:31,719 --> 00:37:35,400
Speaker 1: something very similar to this. It died in the Senate

705
00:37:35,480 --> 00:37:38,600
Speaker 1: as well. So you've got a conservative state like Texas

706
00:37:38,920 --> 00:37:42,200
Speaker 1: still not getting this done. What do you think the

707
00:37:42,239 --> 00:37:46,319
Speaker 1: hold up is? Is it democrats? Is it Republicans and

708
00:37:46,400 --> 00:37:49,440
Speaker 1: their belief that property ownership should not be stifled.

709
00:37:49,840 --> 00:37:51,239
Speaker 2: Where's the hold up in this?

710
00:37:52,280 --> 00:37:57,720
Speaker 10: I think there's a broad naivete in the Western mind set.

711
00:37:58,400 --> 00:38:02,719
Speaker 10: We do not think like our adversaries think. To them,

712
00:38:03,000 --> 00:38:07,919
Speaker 10: it's the long gay. It's getting students into universities, it's

713
00:38:07,960 --> 00:38:13,840
Speaker 10: pirrating everything that they can get. It's buying land near bases,

714
00:38:13,960 --> 00:38:18,520
Speaker 10: flying balloons over the country. It's all these little things

715
00:38:18,560 --> 00:38:21,200
Speaker 10: that add up and they don't stop a lot of

716
00:38:21,360 --> 00:38:24,799
Speaker 10: information we knew when we were Air Force officers. My

717
00:38:24,880 --> 00:38:29,560
Speaker 10: husband and I was open Source Aviation Week in space technology.

718
00:38:29,600 --> 00:38:32,440
Speaker 10: All you had to do is read it, and ninety

719
00:38:32,480 --> 00:38:37,520
Speaker 10: five percent of it was in some cases classified to

720
00:38:37,600 --> 00:38:40,919
Speaker 10: some level. But because it was open source, they would

721
00:38:40,960 --> 00:38:45,160
Speaker 10: get it. They're tenacious, and this has got to stop.

722
00:38:45,520 --> 00:38:49,920
Speaker 10: We have to convince legislators and fellow Americans that this

723
00:38:50,120 --> 00:38:55,160
Speaker 10: is a very near threat. And her veto language was

724
00:38:55,239 --> 00:39:00,319
Speaker 10: really kind of idiotic. It said, well, this isn't the way,

725
00:39:00,640 --> 00:39:03,520
Speaker 10: you know, to so called win the battle. We have

726
00:39:03,680 --> 00:39:09,960
Speaker 10: to prevent them from being there to win the battle. Okay,

727
00:39:10,000 --> 00:39:13,440
Speaker 10: you don't wait till they're there and then deal with it.

728
00:39:13,440 --> 00:39:14,440
Speaker 10: It's too late.

729
00:39:14,280 --> 00:39:18,839
Speaker 1: Then, yeah, and in many respects, as you mentioned, they

730
00:39:18,880 --> 00:39:21,400
Speaker 1: are already there. You know, we were texting earlier in

731
00:39:21,400 --> 00:39:24,040
Speaker 1: the week, and then the story came out about these

732
00:39:24,160 --> 00:39:28,600
Speaker 1: Chinese researchers, students at the University of Michigan sneaking in

733
00:39:28,680 --> 00:39:33,120
Speaker 1: an agro terror fungus. You've got military bases that are

734
00:39:33,160 --> 00:39:36,000
Speaker 1: next to these farmland owned by the CCP.

735
00:39:36,239 --> 00:39:37,680
Speaker 2: What are they going to do with this?

736
00:39:37,760 --> 00:39:40,480
Speaker 1: I mean, I agree with you that people are naive

737
00:39:40,520 --> 00:39:42,719
Speaker 1: to the threat that we face right now. They are here,

738
00:39:43,000 --> 00:39:45,440
Speaker 1: those people were caught, how many.

739
00:39:45,239 --> 00:39:47,440
Speaker 2: Were not caught? And I'll give you the last word.

740
00:39:47,280 --> 00:39:53,240
Speaker 10: Senator, precisely, And we come back to the necessary move

741
00:39:53,480 --> 00:39:58,320
Speaker 10: to replace Katie Hobbs with someone who understands what national

742
00:39:58,360 --> 00:40:02,000
Speaker 10: defense is all about, the great Congressman Andy Biggs, who

743
00:40:02,080 --> 00:40:06,000
Speaker 10: I've promoted before on your show. The only way we

744
00:40:06,040 --> 00:40:12,080
Speaker 10: win these back and forth is to replace incompetent, naive

745
00:40:12,560 --> 00:40:17,040
Speaker 10: and possibly co opted elected officials. We don't even know

746
00:40:18,400 --> 00:40:24,080
Speaker 10: that avenue as being a possibility of elected officials, you know,

747
00:40:24,200 --> 00:40:27,680
Speaker 10: being co opted by other means.

748
00:40:28,440 --> 00:40:30,960
Speaker 1: Yeah, all very very good points, and I'm with you

749
00:40:31,000 --> 00:40:33,160
Speaker 1: on Andy Biggs. He'd be great for Arizona, he'd be

750
00:40:33,200 --> 00:40:34,239
Speaker 1: great for any state.

751
00:40:34,040 --> 00:40:34,720
Speaker 2: For that matter.

752
00:40:35,320 --> 00:40:38,040
Speaker 1: Please keep us posted on what you learn up there

753
00:40:38,080 --> 00:40:41,879
Speaker 1: in Alaska on this election integrity conference. I'm fascinated. I'm

754
00:40:41,880 --> 00:40:43,680
Speaker 1: glad you're up there. I'm glad it's going on. I'm

755
00:40:43,719 --> 00:40:46,680
Speaker 1: glad people are not forgetting about that very important issue.

756
00:40:46,840 --> 00:40:49,719
Speaker 1: But Senator Wendy Rodgers, real quick, where can people find you?

757
00:40:51,080 --> 00:40:55,520
Speaker 10: My website is Wendy Rogers dotrg Wendy Rogers dot org

758
00:40:55,640 --> 00:40:59,040
Speaker 10: and please follow me on X Wendy Rogers a Z.

759
00:40:59,440 --> 00:41:02,000
Speaker 10: I'm chatty on X.

760
00:41:02,040 --> 00:41:05,239
Speaker 2: I keep you posted. Well, that is for sure. I

761
00:41:05,239 --> 00:41:07,319
Speaker 2: can back her up on that. Senator Rogers is great

762
00:41:07,360 --> 00:41:09,279
Speaker 2: to have you on. Thank you, Thank you.

763
00:41:09,400 --> 00:41:11,279
Speaker 10: Grant all right, and.

764
00:41:11,239 --> 00:41:13,400
Speaker 1: Safe travels back to the lower forty eight when that

765
00:41:13,440 --> 00:41:16,520
Speaker 1: happens as well. All right, the left is losing it

766
00:41:16,960 --> 00:41:18,960
Speaker 1: over President Trump's new travel ban.

767
00:41:19,600 --> 00:41:31,120
Speaker 2: We get into that next. Well.

768
00:41:31,160 --> 00:41:34,680
Speaker 1: President Trump had made a very important announcement that the

769
00:41:34,719 --> 00:41:39,719
Speaker 1: so called travel ban was being reinstituted for twelve countries

770
00:41:39,880 --> 00:41:42,719
Speaker 1: that are what do you call it, terror torn.

771
00:41:42,680 --> 00:41:45,160
Speaker 2: That really don't have a centralized government.

772
00:41:45,239 --> 00:41:49,319
Speaker 1: You can't vet people coming from these countries, and typically

773
00:41:49,600 --> 00:41:52,399
Speaker 1: they're overrun with terrorists, so they're dangerous people. We don't

774
00:41:52,440 --> 00:41:55,080
Speaker 1: want them in the United States. What are some of

775
00:41:55,120 --> 00:41:56,919
Speaker 1: these countries. I'll just give you someone. Not gonna list

776
00:41:56,920 --> 00:42:03,880
Speaker 1: all twelve, Chad, Livia, Yemen, Samala, Yah, Afghanistan, Burma, Equatorial

777
00:42:04,040 --> 00:42:08,400
Speaker 1: New Guinea, Venezuela, Cuba, Haiti, the Congo, Burma, and a

778
00:42:08,440 --> 00:42:13,560
Speaker 1: few others. Again, you can't vet the people coming there.

779
00:42:13,920 --> 00:42:19,560
Speaker 1: This is President Trump last night announcing this cut to please.

780
00:42:20,920 --> 00:42:24,600
Speaker 11: We cannot have open migration from any country where we

781
00:42:24,640 --> 00:42:28,440
Speaker 11: cannot safely and reliably vet and screen those who seek

782
00:42:28,760 --> 00:42:32,279
Speaker 11: to enter the United States. That is why today I

783
00:42:32,320 --> 00:42:36,640
Speaker 11: am signing a new executive order placing travel restrictions on

784
00:42:37,160 --> 00:42:44,080
Speaker 11: countries including Yemen, Somalia, Haiti, Libya, and numerous others. The

785
00:42:44,200 --> 00:42:48,560
Speaker 11: strength of the restrictions were applying depends on the severity

786
00:42:48,560 --> 00:42:51,120
Speaker 11: of the threat post.

787
00:42:51,360 --> 00:42:55,319
Speaker 1: All right, listen, this is exactly what the people voted for.

788
00:42:55,800 --> 00:42:59,160
Speaker 1: We just want to be safe and secure in our country. Now,

789
00:42:59,200 --> 00:43:02,440
Speaker 1: Egypt was not on the lift list. Where this lunatic

790
00:43:02,800 --> 00:43:05,840
Speaker 1: who tried to light Jews on fire and Boulder, Colorado

791
00:43:05,960 --> 00:43:07,880
Speaker 1: is from Egypt's not on the list.

792
00:43:08,040 --> 00:43:08,560
Speaker 2: Interesting.

793
00:43:09,160 --> 00:43:12,680
Speaker 1: President Trump did talk about this in the Oval Office today,

794
00:43:13,360 --> 00:43:16,000
Speaker 1: about the travel band that the left is freaking out over.

795
00:43:16,719 --> 00:43:18,960
Speaker 3: And why now I can say that it can't come

796
00:43:19,040 --> 00:43:22,400
Speaker 3: soon enough, frankly, and we want to keep people out

797
00:43:22,480 --> 00:43:28,160
Speaker 3: of our country. Divided administration allowed some horrendous people that

798
00:43:28,239 --> 00:43:30,279
Speaker 3: we're getting them out of one by one.

799
00:43:30,560 --> 00:43:35,359
Speaker 2: We're not stopping until we get them out, all right,

800
00:43:35,400 --> 00:43:36,080
Speaker 2: that's good news.

801
00:43:36,120 --> 00:43:38,040
Speaker 1: Now, as you can imagine, the left goes crazy on

802
00:43:38,120 --> 00:43:38,520
Speaker 1: all of this.

803
00:43:38,680 --> 00:43:40,680
Speaker 2: They hate the idea and.

804
00:43:40,600 --> 00:43:45,000
Speaker 1: They bring back the tired but oh so tried and

805
00:43:45,120 --> 00:43:47,920
Speaker 1: true argument for the left that somehow President Trump is

806
00:43:47,960 --> 00:43:51,359
Speaker 1: a racist for literally wanting stop terrorists from coming into

807
00:43:51,360 --> 00:43:54,520
Speaker 1: this country. This loudmouth Dan Goldman, he's the worst, and

808
00:43:54,560 --> 00:43:57,239
Speaker 1: he's getting worse every day, by the way, listen to him.

809
00:43:57,680 --> 00:44:01,080
Speaker 12: I mean, it's pretty consistent with what hisquote unquote immigration

810
00:44:01,200 --> 00:44:05,240
Speaker 12: policy is, which is just essentially to keep anyone who's

811
00:44:05,280 --> 00:44:08,319
Speaker 12: not white out of the country. And that's what he's

812
00:44:08,360 --> 00:44:11,239
Speaker 12: trying to do with these massboard deportations of people who

813
00:44:11,960 --> 00:44:15,040
Speaker 12: are going through the asylum process, which is a lawful pathway.

814
00:44:15,080 --> 00:44:18,480
Speaker 12: That's now what he's trying to do in targeting these

815
00:44:19,080 --> 00:44:22,920
Speaker 12: specific countries. And so it's a combination of this effort

816
00:44:23,080 --> 00:44:26,960
Speaker 12: to push forward with this great replacement theory.

817
00:44:29,360 --> 00:44:32,280
Speaker 1: Great replacement theory, what is he talking about there's nothing

818
00:44:32,360 --> 00:44:35,759
Speaker 1: racist about this. If we can't vet you and you're

819
00:44:35,800 --> 00:44:39,520
Speaker 1: coming from a country that's overrun with Jihattis, we're not

820
00:44:39,680 --> 00:44:42,439
Speaker 1: letting you in until we can figure out exactly who

821
00:44:42,480 --> 00:44:45,360
Speaker 1: you are. It's not going to happen anytime soon for

822
00:44:45,400 --> 00:44:48,280
Speaker 1: people coming from the Congo and Burma.

823
00:44:48,760 --> 00:44:49,600
Speaker 2: I hate to break the.

824
00:44:49,560 --> 00:44:51,960
Speaker 1: News to those people, but I love to break the

825
00:44:52,000 --> 00:44:52,759
Speaker 1: news to all of you.

826
00:44:52,800 --> 00:44:54,680
Speaker 2: We don't have to get worried about getting blown up

827
00:44:54,719 --> 00:44:56,120
Speaker 2: by somebody coming.

828
00:44:55,880 --> 00:44:58,719
Speaker 1: From there in the near future. Unless they're already here.

829
00:44:58,760 --> 00:45:00,200
Speaker 1: Then we have to worry a lot of them out

830
00:45:00,200 --> 00:45:03,600
Speaker 1: of Thanks to Joe Biden. Speaking of that, Bill Clinton

831
00:45:04,280 --> 00:45:08,520
Speaker 1: was on the View today. He talked about all of

832
00:45:08,560 --> 00:45:11,480
Speaker 1: this hullabaloo about Joe Biden and his mental capacity and

833
00:45:12,320 --> 00:45:13,919
Speaker 1: kind of contradicts himself here.

834
00:45:15,280 --> 00:45:18,040
Speaker 13: All I can say is, whenever I was around him,

835
00:45:19,160 --> 00:45:23,480
Speaker 13: his mind was clear, his judgment was good, and he

836
00:45:23,560 --> 00:45:28,400
Speaker 13: was on top of his brief. But look look at

837
00:45:28,440 --> 00:45:31,879
Speaker 13: that debate, for example, what happened in the ten Days

838
00:45:31,960 --> 00:45:35,080
Speaker 13: Forest debate? And what were the White House staff thinking?

839
00:45:35,560 --> 00:45:38,480
Speaker 13: He went to Europe, him back twice, and then he

840
00:45:38,520 --> 00:45:41,279
Speaker 13: went to California and.

841
00:45:41,239 --> 00:45:43,520
Speaker 2: He was eighty years old. What the heck is he

842
00:45:43,560 --> 00:45:50,080
Speaker 2: doing that? Sick? Listen to me, you'll watch President Trump.

843
00:45:50,080 --> 00:45:53,280
Speaker 1: He's nearly the same age, running all over the place

844
00:45:53,520 --> 00:45:55,839
Speaker 1: to the Middle East and back and down to Mary

845
00:45:55,960 --> 00:45:59,719
Speaker 1: Lago and holding state dinners and having world leaders come

846
00:45:59,760 --> 00:46:04,120
Speaker 1: into the office. Bill Clinton just said he was strong

847
00:46:04,200 --> 00:46:06,759
Speaker 1: and vibrant with it, but then he can't travel too

848
00:46:06,800 --> 00:46:09,960
Speaker 1: much leading up to advant How much rest do you need?

849
00:46:10,440 --> 00:46:11,920
Speaker 1: I get you might need a couple of days. You

850
00:46:11,920 --> 00:46:13,719
Speaker 1: come back from the Middle East. You're all messed up

851
00:46:13,719 --> 00:46:14,720
Speaker 1: because your body clock.

852
00:46:14,800 --> 00:46:18,399
Speaker 2: I get it, but ten days. Come on.

853
00:46:19,080 --> 00:46:21,439
Speaker 1: This guy was out the lunch and Bill Clinton knows

854
00:46:21,480 --> 00:46:25,640
Speaker 1: it all right. The leftists didn't invite her cop cousin

855
00:46:25,760 --> 00:46:30,280
Speaker 1: to her lesbian wedding. Hear her insane reason why her

856
00:46:30,520 --> 00:46:46,160
Speaker 1: cop cousin didn't get invited to her lesbian wedding next Now,

857
00:46:46,200 --> 00:46:49,560
Speaker 1: this isn't very nice. You don't invite your cousin to

858
00:46:49,680 --> 00:46:52,200
Speaker 1: your extremely gay wedding.

859
00:46:52,280 --> 00:46:54,080
Speaker 2: That's a quote, by the way, roll it.

860
00:46:54,920 --> 00:46:58,120
Speaker 14: I got a text today asking why my cousin who's

861
00:46:58,120 --> 00:47:01,759
Speaker 14: a cop isn't invited to my extremely gay wedding, And

862
00:47:01,800 --> 00:47:04,439
Speaker 14: I said, we don't eat pork, and I don't want

863
00:47:04,480 --> 00:47:06,480
Speaker 14: pigs at my wedding, thank you so much.

864
00:47:09,840 --> 00:47:14,319
Speaker 2: And then she went, do you smell bacon? You smell bacon. No,

865
00:47:14,520 --> 00:47:15,200
Speaker 2: she didn't do that.

866
00:47:16,040 --> 00:47:18,800
Speaker 1: Is she crazy? Of course she is, because she's a leftist.

867
00:47:19,120 --> 00:47:22,239
Speaker 1: It's just flat out rude, by the way. And I

868
00:47:22,239 --> 00:47:24,759
Speaker 1: don't know, I don't even really find that funny at all,

869
00:47:24,960 --> 00:47:28,560
Speaker 1: but that's what you get from the quote tolerant left

870
00:47:29,400 --> 00:47:31,400
Speaker 1: calling people who put their life on the line to

871
00:47:31,560 --> 00:47:35,560
Speaker 1: defend you pigs and pork.

872
00:47:35,880 --> 00:47:39,160
Speaker 2: It's not right anyway. It's gonna do it for us, folks.

873
00:47:39,160 --> 00:47:40,480
Speaker 2: Thanks for watching.

874
00:47:41,120 --> 00:47:44,960
Speaker 1: I'll be following Elon and Trump today on X and

875
00:47:45,040 --> 00:47:48,279
Speaker 1: truth Social. We'll see what happens tonight. We'll bring it

876
00:47:48,320 --> 00:47:51,239
Speaker 1: to you tomorrow. I'm sure Stin Shield's army rolls see then.