1
00:00:08,119 --> 00:00:10,440
Speaker 1: Of all of the people that the Libs should have

2
00:00:10,680 --> 00:00:15,600
Speaker 1: weighing in on the whole signal problem slash issue, it

3
00:00:15,720 --> 00:00:19,280
Speaker 1: shouldn't be this one that we're going to talk about. Also,

4
00:00:19,440 --> 00:00:22,040
Speaker 1: one of the leading libs say the Libs should have

5
00:00:22,160 --> 00:00:25,239
Speaker 1: doubled down on DEI I wonder if that's ultimately going

6
00:00:25,280 --> 00:00:28,760
Speaker 1: to be a good strategy. And also, we overpaid for

7
00:00:28,840 --> 00:00:34,440
Speaker 1: something by literally one million percent, not hyperbole, we over

8
00:00:34,520 --> 00:00:36,879
Speaker 1: paid by a million percent. All that more coming up

9
00:00:37,040 --> 00:00:39,240
Speaker 1: on this episode of Turning Points Tonight. My name is Jobob.

10
00:00:39,280 --> 00:00:41,159
Speaker 1: Thanks much for twing in together. We are charting the

11
00:00:41,200 --> 00:00:44,600
Speaker 1: course of America's cultural comeback. This is Turning Point Tonight. Now,

12
00:00:44,680 --> 00:00:47,080
Speaker 1: remember you can email the show anytime you want tpt

13
00:00:47,200 --> 00:00:48,360
Speaker 1: at tpusa dot com.

14
00:00:48,360 --> 00:00:49,320
Speaker 2: You can email us.

15
00:00:49,320 --> 00:00:52,120
Speaker 1: Whether you agree with us or whether you're wrong. We

16
00:00:52,159 --> 00:00:54,400
Speaker 1: accept all kinds of emails anytime a day. Shoot the

17
00:00:54,440 --> 00:00:56,560
Speaker 1: email across and we tend to read those at around

18
00:00:56,560 --> 00:00:59,720
Speaker 1: segment four of this show, So stick around and you

19
00:00:59,720 --> 00:01:02,640
Speaker 1: can maybe get your email read Before we talk about

20
00:01:02,640 --> 00:01:04,959
Speaker 1: all of those things. With our awesome panel coming up,

21
00:01:05,200 --> 00:01:08,240
Speaker 1: I want to hit on this particular story that has

22
00:01:08,240 --> 00:01:13,120
Speaker 1: been making libs upset. Ezracline had a big podcast with

23
00:01:13,200 --> 00:01:18,280
Speaker 1: John Stewart in which they discussed the forty two billion

24
00:01:18,400 --> 00:01:22,240
Speaker 1: dollars that was going to be spent on broadband issued

25
00:01:22,280 --> 00:01:26,240
Speaker 1: by the Biden administration. Now, for that forty two billion dollars,

26
00:01:26,319 --> 00:01:30,560
Speaker 1: guess how much broadband the American people received. That's correct,

27
00:01:31,000 --> 00:01:33,640
Speaker 1: zero And that is part of their conversation as to win.

28
00:01:33,640 --> 00:01:35,720
Speaker 1: And we're gonna play clip from that conversation when we

29
00:01:35,760 --> 00:01:38,880
Speaker 1: bring our panel in and react to the utter astonishment

30
00:01:38,920 --> 00:01:41,240
Speaker 1: on John Stewart's face. But you have to ask yourself

31
00:01:41,840 --> 00:01:47,559
Speaker 1: why were zero new infrastructure built for this broad band initiative? Well,

32
00:01:48,000 --> 00:01:49,760
Speaker 1: as Recline points it out, and we're not gonna play

33
00:01:49,800 --> 00:01:53,400
Speaker 1: the whole clip. Oh, basically bring it to this the

34
00:01:53,600 --> 00:01:58,000
Speaker 1: fourteen different steps that states and jurisdictions had to go

35
00:01:58,120 --> 00:02:01,880
Speaker 1: through in order to get approved four part of that

36
00:02:01,920 --> 00:02:04,680
Speaker 1: forty two billion dollars. The states had to submit letters

37
00:02:04,680 --> 00:02:08,639
Speaker 1: of intent. They then had to request planning grants. Then

38
00:02:09,000 --> 00:02:13,520
Speaker 1: the National Telecommunications Information Administration needed to review, Then the

39
00:02:13,520 --> 00:02:15,480
Speaker 1: states needed to create a five year action plan, and

40
00:02:15,520 --> 00:02:17,840
Speaker 1: the federal government need to release and it goes on

41
00:02:18,080 --> 00:02:20,680
Speaker 1: and on and on all the way to the point

42
00:02:20,840 --> 00:02:26,080
Speaker 1: where by step thirteen, only three states had continued to

43
00:02:26,160 --> 00:02:29,680
Speaker 1: participate in the process. In other words, the Libs made

44
00:02:29,680 --> 00:02:33,600
Speaker 1: this big stink about, well, everyone deserves broadband in the country.

45
00:02:33,680 --> 00:02:37,280
Speaker 1: We're going to allocate forty two billion dollars for everyone

46
00:02:37,360 --> 00:02:39,640
Speaker 1: to get broadband, and also we're going to make it

47
00:02:39,720 --> 00:02:42,640
Speaker 1: so freaking hard to get that nobody actually will ever

48
00:02:42,720 --> 00:02:43,560
Speaker 1: get broadband.

49
00:02:43,639 --> 00:02:44,480
Speaker 2: In three years.

50
00:02:45,240 --> 00:02:49,280
Speaker 1: Zero new infrastructure has been built by this massive amount

51
00:02:49,320 --> 00:02:52,520
Speaker 1: of money that has been wasted by the Libs. Here

52
00:02:52,560 --> 00:02:55,359
Speaker 1: to comment on that and so much more. Matt Riggle

53
00:02:55,440 --> 00:02:58,080
Speaker 1: is a comedian. Paula Scanlon is the coordinator for Early

54
00:02:58,160 --> 00:03:00,480
Speaker 1: Vote Action. Guys, thanks so much for joining Yes today.

55
00:03:02,919 --> 00:03:04,679
Speaker 1: Now I want to play this. I want to play

56
00:03:04,680 --> 00:03:06,200
Speaker 1: this clip of what we just talked about. This is

57
00:03:06,280 --> 00:03:10,600
Speaker 1: John Stewart's reaction to the laundry list of things that

58
00:03:10,639 --> 00:03:13,160
Speaker 1: people had to do states had to do in order

59
00:03:13,200 --> 00:03:15,280
Speaker 1: to get this. Let's play this clip and we'll get

60
00:03:15,280 --> 00:03:15,680
Speaker 1: your reaction.

61
00:03:15,720 --> 00:03:16,239
Speaker 2: On the other side.

62
00:03:16,360 --> 00:03:18,880
Speaker 3: States must submit a five year action plan, so the

63
00:03:18,919 --> 00:03:20,680
Speaker 3: states kind of go back and they kind of think

64
00:03:20,680 --> 00:03:24,639
Speaker 3: about how they're going to do this to make allocation decisions. Then,

65
00:03:24,760 --> 00:03:27,400
Speaker 3: having already done their letter of intent, the requests for

66
00:03:27,560 --> 00:03:28,400
Speaker 3: planning grants and.

67
00:03:28,400 --> 00:03:30,239
Speaker 2: What the did they apply for?

68
00:03:30,680 --> 00:03:32,040
Speaker 4: What was their no fault?

69
00:03:32,200 --> 00:03:36,520
Speaker 3: Like if the five Action Plan. Step nine, NTIA must

70
00:03:36,560 --> 00:03:41,200
Speaker 3: review and approve each states again initial proposal. By my read,

71
00:03:41,280 --> 00:03:43,600
Speaker 3: we have had at least two initial proposals here. But

72
00:03:43,640 --> 00:03:44,680
Speaker 3: that's a different issue.

73
00:03:45,000 --> 00:03:47,320
Speaker 2: Wait, who's challenging it within the state?

74
00:03:47,880 --> 00:03:50,680
Speaker 3: Well, you know organized interest groups, environmental group like I

75
00:03:50,680 --> 00:03:52,440
Speaker 3: don't know who specifically, but any.

76
00:03:52,400 --> 00:03:55,040
Speaker 4: Literally, anybody. This is I want to say something because.

77
00:03:54,800 --> 00:03:57,640
Speaker 3: It's very important I say this. This is the Biden

78
00:03:57,760 --> 00:04:00,240
Speaker 3: administration's process for its own.

79
00:04:00,240 --> 00:04:01,760
Speaker 4: They wanted this to happen.

80
00:04:02,200 --> 00:04:05,000
Speaker 3: This is how liberal government works. Now, this is something

81
00:04:05,160 --> 00:04:09,080
Speaker 3: they instituted for this bill.

82
00:04:09,040 --> 00:04:09,960
Speaker 4: For their bill.

83
00:04:10,320 --> 00:04:14,880
Speaker 3: This is a bill by Democrats with a regulatory structure

84
00:04:15,080 --> 00:04:20,000
Speaker 3: ridden by democratic administration. Step twelve, States must run a

85
00:04:20,120 --> 00:04:22,480
Speaker 3: competitive sub granting propose.

86
00:04:22,520 --> 00:04:28,160
Speaker 4: Oh my god. At step twelve, by after all this

87
00:04:28,240 --> 00:04:29,200
Speaker 4: has been done.

88
00:04:29,720 --> 00:04:31,680
Speaker 3: Yeah, none of that could have happened along the way

89
00:04:31,680 --> 00:04:37,520
Speaker 3: here when summary colin states are nearly at the finish line,

90
00:04:38,240 --> 00:04:41,359
Speaker 3: and it says to stop their progress now or worse,

91
00:04:41,480 --> 00:04:44,240
Speaker 3: to make them go backwards would be a stick in

92
00:04:44,279 --> 00:04:45,440
Speaker 3: the spokes.

93
00:04:46,160 --> 00:04:46,400
Speaker 4: I think.

94
00:04:46,640 --> 00:04:49,560
Speaker 1: So that's John Stewart of Daily Show fame, who is

95
00:04:49,720 --> 00:04:53,440
Speaker 1: not a conservative by any stretch of the imagination, reacting

96
00:04:53,560 --> 00:04:57,760
Speaker 1: as a conservative would getting this information, Matt, your thoughts

97
00:04:57,880 --> 00:05:02,760
Speaker 1: on even the Libs, Yeah, this is insane.

98
00:05:03,000 --> 00:05:07,320
Speaker 5: Well, just listening to part of that twelve step program,

99
00:05:07,720 --> 00:05:09,880
Speaker 5: I think a lot of people would need another type

100
00:05:09,880 --> 00:05:10,520
Speaker 5: of twelve.

101
00:05:10,279 --> 00:05:14,480
Speaker 4: Step program after the fact, you know.

102
00:05:15,440 --> 00:05:18,320
Speaker 5: More, one that's actually proven to be a little bit

103
00:05:18,360 --> 00:05:20,960
Speaker 5: more helpful. The other thing that sticks out to me, well,

104
00:05:21,000 --> 00:05:24,600
Speaker 5: first of all, when I read the article, when I

105
00:05:24,680 --> 00:05:29,480
Speaker 5: see the word broadband or rural broadband, I go, Okay,

106
00:05:29,560 --> 00:05:31,039
Speaker 5: I think, I know, I'm pretty sure I know what

107
00:05:31,080 --> 00:05:32,760
Speaker 5: that means, but I'm going to google it just to

108
00:05:32,839 --> 00:05:36,280
Speaker 5: make sure. And then I do, and I still go

109
00:05:37,920 --> 00:05:44,440
Speaker 5: after forty billion, nothing comes after that, Like when when

110
00:05:44,480 --> 00:05:48,560
Speaker 5: you propose something that includes the number forty two billion,

111
00:05:48,880 --> 00:05:52,720
Speaker 5: it doesn't matter what comes after that, like short of

112
00:05:53,480 --> 00:05:57,120
Speaker 5: like all of homelessness, not like a dend, like all

113
00:05:57,160 --> 00:06:01,000
Speaker 5: of homelessness is gone, or all the veterans are taking

114
00:06:01,040 --> 00:06:03,000
Speaker 5: care of for the rest of their lives, like short

115
00:06:03,000 --> 00:06:05,719
Speaker 5: of anything like that. And I think even at that point,

116
00:06:05,760 --> 00:06:07,920
Speaker 5: the veterans would go, Yo, that's still a little steeper.

117
00:06:08,080 --> 00:06:14,159
Speaker 5: But so yeah, it's it's uh, it's wild, Paula.

118
00:06:14,279 --> 00:06:18,000
Speaker 1: This is again we generally don't see libs usually defend

119
00:06:18,200 --> 00:06:20,920
Speaker 1: dumb lib takes, but then this, even in this.

120
00:06:20,960 --> 00:06:24,200
Speaker 2: Case, John Stewart is one of the chief libs. He

121
00:06:24,279 --> 00:06:27,400
Speaker 2: is even going, what what the F is going on?

122
00:06:27,760 --> 00:06:28,600
Speaker 2: What are your thoughts?

123
00:06:29,600 --> 00:06:32,760
Speaker 6: I honestly this entire situation. I mean, I can't even

124
00:06:32,760 --> 00:06:35,080
Speaker 6: say I'm surprised because anyone was surprised by this, but

125
00:06:35,200 --> 00:06:37,880
Speaker 6: seeing his reaction is really showing me that this is

126
00:06:38,040 --> 00:06:40,960
Speaker 6: just not even conservative or liberal. Okay, this is like

127
00:06:41,240 --> 00:06:45,880
Speaker 6: insanity versus just normal people's reaction. And his reaction was

128
00:06:45,920 --> 00:06:47,760
Speaker 6: not even what we should expect of a conservative.

129
00:06:47,760 --> 00:06:48,560
Speaker 4: It is what we should.

130
00:06:48,320 --> 00:06:49,920
Speaker 7: Expect of a person who's brain cells.

131
00:06:50,240 --> 00:06:52,600
Speaker 6: And so I guess I'm honestly grateful to find out

132
00:06:52,600 --> 00:06:54,160
Speaker 6: that he has brain cells, which I didn't think he

133
00:06:54,240 --> 00:06:55,400
Speaker 6: had for a really long time.

134
00:06:55,839 --> 00:06:57,279
Speaker 4: So I'm grateful.

135
00:06:57,360 --> 00:07:00,120
Speaker 6: That's my biggest takeaway from this, because John Stewart is

136
00:07:00,120 --> 00:07:03,040
Speaker 6: is actually an intelligent, living human being with a functioning

137
00:07:03,040 --> 00:07:05,000
Speaker 6: brand sentient.

138
00:07:05,360 --> 00:07:07,560
Speaker 1: I don't know if that's what the libs would like

139
00:07:07,680 --> 00:07:11,280
Speaker 1: as their bar for success. If you're sentient, you're good

140
00:07:11,320 --> 00:07:13,920
Speaker 1: with us. But also, you know, who can blame them

141
00:07:13,920 --> 00:07:17,280
Speaker 1: after the last four years speaking of people who may

142
00:07:17,520 --> 00:07:20,920
Speaker 1: may or may not have some brain cells. Tim Walls,

143
00:07:21,000 --> 00:07:24,520
Speaker 1: And again, I never anticipated continuing to talk about the

144
00:07:24,520 --> 00:07:28,960
Speaker 1: Biden administration or Tim Walls for example. But here's the thing.

145
00:07:29,000 --> 00:07:31,640
Speaker 1: The Libs are kind of trying to choose their next

146
00:07:31,760 --> 00:07:35,480
Speaker 1: person who's going to take the mantle and run with

147
00:07:35,520 --> 00:07:38,440
Speaker 1: it In the twenty twenty eight election. Tim Walls, governor

148
00:07:38,440 --> 00:07:41,800
Speaker 1: of Minnesota and the former vice presidential candidate, failed vice

149
00:07:41,800 --> 00:07:45,480
Speaker 1: presidential candidate, is vying for that spot. He was He's

150
00:07:45,480 --> 00:07:49,040
Speaker 1: on a public speaking tour in which he said this,

151
00:07:49,400 --> 00:07:51,760
Speaker 1: and you know, I have some thoughts, but let's play

152
00:07:51,760 --> 00:07:54,320
Speaker 1: this clip and get your reaction on the other side, that.

153
00:07:54,400 --> 00:07:56,040
Speaker 4: Our strength is our diversity.

154
00:07:56,360 --> 00:07:59,400
Speaker 8: We've been talking about this for years as a country

155
00:07:59,400 --> 00:08:02,800
Speaker 8: of immigrants, and we let them define the issue on immigration.

156
00:08:03,120 --> 00:08:06,240
Speaker 8: We let them define the issue on d and I DEI,

157
00:08:06,520 --> 00:08:11,120
Speaker 8: and we let them define what woke is. We got

158
00:08:11,160 --> 00:08:13,920
Speaker 8: ourselves in this mask because we weren't bold enough to

159
00:08:13,960 --> 00:08:15,520
Speaker 8: stand up and say, you damn right.

160
00:08:15,400 --> 00:08:16,680
Speaker 4: We're proud of these policies.

161
00:08:16,880 --> 00:08:19,720
Speaker 8: We're gonna put them in and we're gonna execute them.

162
00:08:20,240 --> 00:08:25,120
Speaker 1: And so oh okay, Tim Walls, I guess you've learned

163
00:08:25,320 --> 00:08:29,040
Speaker 1: nothing as to why you lost. Having said that, Paula

164
00:08:29,120 --> 00:08:31,800
Speaker 1: as a coordinator for early vote action, does this make

165
00:08:31,840 --> 00:08:35,480
Speaker 1: your job easier now that they're continuing to double down

166
00:08:35,600 --> 00:08:38,040
Speaker 1: on things that they have proven to have lost on

167
00:08:38,679 --> 00:08:40,840
Speaker 1: from this election and especially going forward.

168
00:08:41,440 --> 00:08:43,240
Speaker 6: I mean, it certainly does make my job easier.

169
00:08:43,320 --> 00:08:45,319
Speaker 7: Maybe they just don't want to win elections.

170
00:08:45,400 --> 00:08:47,960
Speaker 6: I mean I truly thought that they would try to

171
00:08:47,960 --> 00:08:49,880
Speaker 6: walk this back and do what the Democrats always do

172
00:08:49,960 --> 00:08:52,800
Speaker 6: and say we never said that, we never stood by that,

173
00:08:52,960 --> 00:08:55,240
Speaker 6: we never said anything about DEI what are you talking

174
00:08:55,280 --> 00:08:58,640
Speaker 6: about the gas lighting strategy? But apparently they're not even

175
00:08:58,679 --> 00:09:02,240
Speaker 6: trying that anymore, and they're just saying we stand by this, we.

176
00:09:02,160 --> 00:09:02,920
Speaker 7: Didn't do enough.

177
00:09:03,000 --> 00:09:06,400
Speaker 6: And also his biggest competition right now is AOC.

178
00:09:06,520 --> 00:09:07,400
Speaker 3: I mean AOC is.

179
00:09:07,360 --> 00:09:09,079
Speaker 6: Making a run for the ticket in twenty twenty eight,

180
00:09:09,280 --> 00:09:11,439
Speaker 6: Like that is who they have to put up for this.

181
00:09:12,600 --> 00:09:14,760
Speaker 6: I feel bad, truly, I feel bad for them. I

182
00:09:14,760 --> 00:09:16,520
Speaker 6: feel bad that this is the way that they are going,

183
00:09:16,760 --> 00:09:18,920
Speaker 6: and I, for their sake, hope they figure it out.

184
00:09:19,480 --> 00:09:20,439
Speaker 2: Yeah, Matt.

185
00:09:20,520 --> 00:09:25,640
Speaker 1: When Charlie was on Gavin Newsom's podcast, it was fascinating

186
00:09:25,720 --> 00:09:30,160
Speaker 1: for me to see the super progressive governor of California

187
00:09:30,280 --> 00:09:33,079
Speaker 1: effectively agree with all of the things that Charlie was saying,

188
00:09:33,160 --> 00:09:36,680
Speaker 1: especially when he was criticizing the Libs for their side,

189
00:09:37,840 --> 00:09:41,240
Speaker 1: which side I think here ultimately wins out. And I'm

190
00:09:41,240 --> 00:09:43,920
Speaker 1: not calling Gavin a sane person by any stretch of

191
00:09:43,920 --> 00:09:46,320
Speaker 1: the imagination, but he's clearly pushing for Libs to go

192
00:09:46,440 --> 00:09:48,560
Speaker 1: kind of back towards the middle and away from this stuff.

193
00:09:48,640 --> 00:09:50,679
Speaker 1: And then you've got, like Paula was saying, the AOC

194
00:09:50,880 --> 00:09:52,800
Speaker 1: side and the Tim Walls side that is even pushing

195
00:09:52,960 --> 00:09:56,400
Speaker 1: further towards the DEI stuff. In terms of just the

196
00:09:56,480 --> 00:09:59,720
Speaker 1: Libs as a whole, which push and pull side is

197
00:09:59,720 --> 00:10:01,280
Speaker 1: gonna is going to come out ahead?

198
00:10:01,280 --> 00:10:04,280
Speaker 4: Do you think, well, I don't know.

199
00:10:04,360 --> 00:10:08,600
Speaker 5: In terms of what you said about Gavin wanting to

200
00:10:08,920 --> 00:10:11,160
Speaker 5: I don't know that I agree that he's trying to

201
00:10:11,200 --> 00:10:16,480
Speaker 5: pull Libs more to the center. I think he's trying

202
00:10:16,520 --> 00:10:19,800
Speaker 5: to be viewed as more in the center so that

203
00:10:20,000 --> 00:10:22,600
Speaker 5: he gets more of that swing vote and seems a

204
00:10:22,600 --> 00:10:27,760
Speaker 5: little less you know, unreasonable as some might appear.

205
00:10:28,160 --> 00:10:31,200
Speaker 4: In terms of what Tim Walls said in that clip.

206
00:10:31,520 --> 00:10:32,600
Speaker 4: I had two thoughts on it.

207
00:10:32,679 --> 00:10:36,640
Speaker 5: The first one is he's almost he's almost correct in

208
00:10:36,640 --> 00:10:38,920
Speaker 5: a way on what he says when he says we

209
00:10:38,960 --> 00:10:42,120
Speaker 5: didn't push hard enough on this, this, and this, because

210
00:10:42,200 --> 00:10:44,640
Speaker 5: they basically didn't run on any policy.

211
00:10:45,080 --> 00:10:47,840
Speaker 4: They didn't use policy to try and win that election.

212
00:10:48,240 --> 00:10:49,880
Speaker 4: So in a way he's almost correct.

213
00:10:50,040 --> 00:10:54,120
Speaker 5: The other thought I had was just, you know, when

214
00:10:54,160 --> 00:10:56,800
Speaker 5: you just on the surface of it, we didn't go

215
00:10:56,840 --> 00:10:59,000
Speaker 5: hard enough on DEEI, we didn't go hard.

216
00:10:58,920 --> 00:11:01,680
Speaker 4: Enough on on immigration and such.

217
00:11:01,960 --> 00:11:04,400
Speaker 5: And that's kind of like Starbucks going, you know, I

218
00:11:04,440 --> 00:11:06,960
Speaker 5: don't think we're pushing the coffee hard enough. I don't

219
00:11:07,000 --> 00:11:08,920
Speaker 5: think I don't think people know we have it. I

220
00:11:08,920 --> 00:11:10,520
Speaker 5: think we need to go a little harder on the

221
00:11:10,600 --> 00:11:11,320
Speaker 5: on the coffee.

222
00:11:11,720 --> 00:11:15,360
Speaker 1: So yeah, yeah, and that's that's assuming that you know,

223
00:11:15,400 --> 00:11:17,719
Speaker 1: you you don't like your coffee that way, because the

224
00:11:17,720 --> 00:11:21,320
Speaker 1: American people have been abundantly clear, Yeah, we don't like

225
00:11:21,400 --> 00:11:23,599
Speaker 1: any of that sort of stuff. And also regarding the

226
00:11:24,000 --> 00:11:26,040
Speaker 1: thing with Gavin, I don't want to mislead yours. I

227
00:11:26,080 --> 00:11:28,480
Speaker 1: don't actually think Gavin thinks any of the things that

228
00:11:28,520 --> 00:11:31,400
Speaker 1: he was saying, But you're right, he's specifically trying to

229
00:11:31,400 --> 00:11:36,080
Speaker 1: pull voters away from the the other candidates that are

230
00:11:36,080 --> 00:11:39,760
Speaker 1: also vuying for that same top title running for president,

231
00:11:40,240 --> 00:11:42,440
Speaker 1: Matt and Paula will be right back after the break

232
00:11:42,480 --> 00:11:45,439
Speaker 1: to discuss a whole lot more. Also, we're gonna check

233
00:11:45,440 --> 00:11:48,000
Speaker 1: in with Monica Page Turning Points, White House Correspondent right

234
00:11:48,040 --> 00:11:48,520
Speaker 1: after the break.

235
00:11:48,520 --> 00:11:50,040
Speaker 2: Don't go, it will be right back after this.

236
00:12:00,760 --> 00:12:02,760
Speaker 1: Welcome back to Turning Point tonight, where we are charting

237
00:12:02,760 --> 00:12:04,160
Speaker 1: the course of America's cultural comeback.

238
00:12:04,160 --> 00:12:06,200
Speaker 2: My name is Jobob. Thanks so much for sticking with us.

239
00:12:06,280 --> 00:12:08,080
Speaker 1: It is now time to check in with Turning Points

240
00:12:08,120 --> 00:12:11,520
Speaker 1: White House Correspondent Monica Page at the White House. Monica,

241
00:12:11,520 --> 00:12:14,560
Speaker 1: thanks for joining us. So the big thing, not the

242
00:12:14,720 --> 00:12:17,040
Speaker 1: big thing. There's many big things going on all the

243
00:12:17,080 --> 00:12:19,319
Speaker 1: time over there in DC. But the thing that I've

244
00:12:19,360 --> 00:12:23,000
Speaker 1: been keeping my eye on is jd and Usha Vance,

245
00:12:23,280 --> 00:12:25,959
Speaker 1: Vice President second Lady in the United States are off

246
00:12:26,040 --> 00:12:29,840
Speaker 1: to Greenland or in Greenland? Now, can you kind of

247
00:12:29,880 --> 00:12:32,040
Speaker 1: talk about the dynamics they are going on?

248
00:12:32,160 --> 00:12:32,360
Speaker 4: Now?

249
00:12:32,520 --> 00:12:34,600
Speaker 1: A lot of people are making a big fuss about

250
00:12:34,600 --> 00:12:37,480
Speaker 1: wholla with the United States and Greenland, But in reality

251
00:12:37,520 --> 00:12:40,120
Speaker 1: there are some real world consequences. The New York Times

252
00:12:40,160 --> 00:12:43,960
Speaker 1: had a big piece about the ice caps melting and

253
00:12:44,040 --> 00:12:46,240
Speaker 1: if they're right and that's true, okay, well that opens

254
00:12:46,320 --> 00:12:49,360
Speaker 1: up shipping lanes, which means Russia and China have easier

255
00:12:49,400 --> 00:12:51,440
Speaker 1: access to each other. So we probably should have a

256
00:12:51,480 --> 00:12:53,240
Speaker 1: presence there. I know I'm throwing a lot at you

257
00:12:53,360 --> 00:12:54,760
Speaker 1: right now, but you do you kind to talk about

258
00:12:54,800 --> 00:12:58,680
Speaker 1: the administration and their whole push to make Greenland friendly

259
00:12:58,720 --> 00:12:59,560
Speaker 1: to the United States.

260
00:13:00,720 --> 00:13:02,680
Speaker 7: Sure, well, of course, thanks so much for having me.

261
00:13:02,760 --> 00:13:05,560
Speaker 7: As always, well, the Trump administration is really looking to

262
00:13:06,120 --> 00:13:10,720
Speaker 7: capitalize on Greenland, as Greenland is known for not only

263
00:13:10,840 --> 00:13:14,120
Speaker 7: rare earth minerals, but also, like you just mentioned, the

264
00:13:14,160 --> 00:13:16,800
Speaker 7: icebergs are melting over there, which is in turn opening

265
00:13:16,920 --> 00:13:20,520
Speaker 7: up shipping lanes and shipping ports, which could in turn

266
00:13:20,640 --> 00:13:24,560
Speaker 7: benefit the United States for shipping and trade. So, of course,

267
00:13:24,640 --> 00:13:29,160
Speaker 7: a second Lady Usha Vance was set to go solo,

268
00:13:30,000 --> 00:13:32,839
Speaker 7: but the leader of Greenland didn't really seem too thrilled

269
00:13:32,880 --> 00:13:36,280
Speaker 7: about her going. So now the Vice President, her husband,

270
00:13:36,360 --> 00:13:39,000
Speaker 7: is accompanying her on this trip, so now they're both

271
00:13:39,040 --> 00:13:41,640
Speaker 7: going to be there together. They have landed this afternoon,

272
00:13:41,640 --> 00:13:44,640
Speaker 7: they're there right now, hosting a number of meetings, taking

273
00:13:44,880 --> 00:13:48,360
Speaker 7: a number of tours various different sites, and you not

274
00:13:48,480 --> 00:13:51,600
Speaker 7: only have these shipping ports that are going to be

275
00:13:51,600 --> 00:13:53,960
Speaker 7: beneficial for the United States if they can get to

276
00:13:54,000 --> 00:13:56,319
Speaker 7: an agreement, but you also have the rare earth minerals

277
00:13:56,320 --> 00:13:59,079
Speaker 7: which could also be used as a trade deal between

278
00:13:59,080 --> 00:14:01,280
Speaker 7: the United States and greens But you also have a

279
00:14:01,280 --> 00:14:04,320
Speaker 7: missile defense system as well, which is great for our

280
00:14:04,400 --> 00:14:07,320
Speaker 7: national security as well and as well as Greenland's. So

281
00:14:07,440 --> 00:14:10,240
Speaker 7: by teaming up and kind of pushing and forging ahead

282
00:14:10,480 --> 00:14:13,400
Speaker 7: with this partnership that could come to fruition. I think

283
00:14:13,400 --> 00:14:16,200
Speaker 7: it could be very beneficial to the United States, and

284
00:14:16,280 --> 00:14:18,120
Speaker 7: it would be interesting to see if Greenland wants to

285
00:14:18,120 --> 00:14:19,720
Speaker 7: come to the table and make a deal with the

286
00:14:19,800 --> 00:14:22,880
Speaker 7: United States. So by having a presence there, we'll see

287
00:14:23,320 --> 00:14:25,800
Speaker 7: how the meetings go and how the tour goes. I

288
00:14:25,840 --> 00:14:28,920
Speaker 7: know that the President is very enthusiastic about Greenland and

289
00:14:28,960 --> 00:14:32,280
Speaker 7: occupying it as well as trying to make Canada our

290
00:14:32,320 --> 00:14:36,160
Speaker 7: fifty first state as well, and also the Panama Canal

291
00:14:36,280 --> 00:14:39,200
Speaker 7: occupying that as well. So definitely going to be interesting

292
00:14:39,280 --> 00:14:41,280
Speaker 7: these next couple weeks to see how things develop.

293
00:14:41,760 --> 00:14:43,240
Speaker 1: Yeah, I'd love to get your take more on the

294
00:14:43,280 --> 00:14:45,760
Speaker 1: Canada thing, But first I feel like people need to

295
00:14:45,800 --> 00:14:48,120
Speaker 1: know about Greenland. Especially all the Libs that are up

296
00:14:48,160 --> 00:14:50,200
Speaker 1: in arms about it is the United States is trying

297
00:14:50,240 --> 00:14:53,880
Speaker 1: to make a partnership in a very cordial manner. They

298
00:14:53,920 --> 00:14:56,800
Speaker 1: don't get that opportunity if Russia decides they want Greenland

299
00:14:56,920 --> 00:14:59,960
Speaker 1: or China decides they want Greenland. The best case scenari

300
00:15:00,520 --> 00:15:02,960
Speaker 1: if it is in fact that Greenland is a conduit

301
00:15:02,960 --> 00:15:06,320
Speaker 1: to one of the biggest major trade routes with the

302
00:15:06,320 --> 00:15:09,240
Speaker 1: the Arctic Ocean opening up, the United States is going

303
00:15:09,240 --> 00:15:10,800
Speaker 1: to be the one who's going to do it most

304
00:15:10,840 --> 00:15:14,840
Speaker 1: peacefully in the best especially if you're looking at it

305
00:15:14,880 --> 00:15:17,640
Speaker 1: relative to how China or Russia would handle it. But anyways,

306
00:15:18,320 --> 00:15:21,440
Speaker 1: very quickly, the whole fifty first eight thing in Canada,

307
00:15:21,480 --> 00:15:23,480
Speaker 1: it kind of started off as an offhanded joke with

308
00:15:23,520 --> 00:15:26,520
Speaker 1: Trudeau and Trump at mar A Lago. It is now

309
00:15:26,560 --> 00:15:29,520
Speaker 1: blossomed into a big thing that the lib media is like,

310
00:15:29,560 --> 00:15:32,400
Speaker 1: can you believe they still want to do this? First

311
00:15:32,440 --> 00:15:35,200
Speaker 1: of all, is it still a joke in the White House?

312
00:15:35,240 --> 00:15:38,000
Speaker 1: And like again, I kind of think it's still funny.

313
00:15:38,000 --> 00:15:39,600
Speaker 1: But at the same time, like right, if they do

314
00:15:39,680 --> 00:15:41,560
Speaker 1: want to, you know, make that happen, I feel like

315
00:15:41,600 --> 00:15:43,360
Speaker 1: President Trump could make it, make it work.

316
00:15:44,440 --> 00:15:47,600
Speaker 7: Yeah, I mean it's a funny little dynamic, especially in

317
00:15:47,600 --> 00:15:50,240
Speaker 7: the press freaking room land. Any reporter asked the question

318
00:15:50,280 --> 00:15:53,760
Speaker 7: about Canada and the Press Secretary of Caroline Levitt, you know, says, oh,

319
00:15:53,800 --> 00:15:56,440
Speaker 7: you mean our fifty first state. So that that dynamic,

320
00:15:56,680 --> 00:16:00,240
Speaker 7: that half hearted joking, half serious, it's it's it's a

321
00:16:00,320 --> 00:16:02,320
Speaker 7: very lighthearted comment. It's a very light hearted joke. But

322
00:16:02,320 --> 00:16:04,720
Speaker 7: at in the day, if Canada really wanted to join

323
00:16:04,800 --> 00:16:06,840
Speaker 7: and there could be a deal, President Trump is the

324
00:16:06,920 --> 00:16:09,600
Speaker 7: king maker of deals, so something could happen. I mean,

325
00:16:09,800 --> 00:16:13,000
Speaker 7: we know that the United States is getting ready to

326
00:16:13,320 --> 00:16:16,600
Speaker 7: implement the tariffs on April second, as we know, that's

327
00:16:16,680 --> 00:16:20,000
Speaker 7: what President Trump dubs his Liberation Day for America. And

328
00:16:20,040 --> 00:16:23,480
Speaker 7: he's huge on made in America vehicles, made in America products,

329
00:16:23,560 --> 00:16:26,400
Speaker 7: and really, you know, hitting hard on these tariffs internationally.

330
00:16:26,480 --> 00:16:28,680
Speaker 7: So you know, if Canada wants to come to the

331
00:16:28,680 --> 00:16:30,720
Speaker 7: table and make a deal with the United States involving

332
00:16:31,080 --> 00:16:34,240
Speaker 7: products or trade, whatever it may be, I'm sure that

333
00:16:34,280 --> 00:16:36,440
Speaker 7: they could work something out. But like you mentioned, Jobob,

334
00:16:36,480 --> 00:16:38,920
Speaker 7: I mean, the United States and the Trump administration is

335
00:16:39,360 --> 00:16:41,680
Speaker 7: very good at doing things very peacefully, in a peaceful manner.

336
00:16:41,840 --> 00:16:43,960
Speaker 7: And making sure that both sides benefit at the end

337
00:16:43,960 --> 00:16:46,400
Speaker 7: of the day and coming to this agreement, so it'll

338
00:16:46,440 --> 00:16:49,360
Speaker 7: be you know, it's something that I think could come

339
00:16:49,400 --> 00:16:51,560
Speaker 7: to the table sooner rather than later. We're definitely keeping

340
00:16:51,560 --> 00:16:52,920
Speaker 7: our eyes on Canada for sure.

341
00:16:53,320 --> 00:16:55,760
Speaker 1: Yeah, definitely a fun one to keep an eye out for.

342
00:16:55,880 --> 00:16:58,520
Speaker 1: Monica Page turning points, White House Correspondent, thanks so much

343
00:16:58,520 --> 00:16:59,240
Speaker 1: for joining us.

344
00:16:59,200 --> 00:17:00,000
Speaker 2: And have a great weekend.

345
00:17:00,960 --> 00:17:02,960
Speaker 7: Thanks you too, Joebob, thank you.

346
00:17:03,320 --> 00:17:06,080
Speaker 1: Now, we've talked a lot about libs and who's going

347
00:17:06,160 --> 00:17:08,239
Speaker 1: to be in charge and who's going to be the

348
00:17:08,280 --> 00:17:11,480
Speaker 1: main lib coming through, especially in the next presidential in

349
00:17:11,480 --> 00:17:12,280
Speaker 1: twenty twenty eight.

350
00:17:12,280 --> 00:17:13,440
Speaker 2: And one of the people that we've been.

351
00:17:13,400 --> 00:17:15,640
Speaker 1: Keeping our eyes on a lot, not because she makes

352
00:17:15,680 --> 00:17:17,920
Speaker 1: a lot of sense, but because she's easy to mock

353
00:17:18,240 --> 00:17:20,919
Speaker 1: is Congresswoman Jasmine Crockett. Now, I want to bring our

354
00:17:20,920 --> 00:17:23,920
Speaker 1: panel back in here because Jasmine Crockett, in my opinion,

355
00:17:24,040 --> 00:17:26,840
Speaker 1: has crossed many lines, but more specifically cross the line

356
00:17:26,840 --> 00:17:30,680
Speaker 1: when talking about Governor Greg Abbott, who's a fantastic governor

357
00:17:30,720 --> 00:17:33,600
Speaker 1: of Texas and also happens to be in a wheelchair.

358
00:17:34,000 --> 00:17:38,879
Speaker 1: Let me play you this clip of Congresswoman crocket saying

359
00:17:38,960 --> 00:17:39,960
Speaker 1: some things that.

360
00:17:40,760 --> 00:17:42,919
Speaker 2: I just thought this was super out of bounds. Watch this,

361
00:17:43,560 --> 00:17:43,960
Speaker 2: y'all know.

362
00:17:43,960 --> 00:17:47,080
Speaker 7: We got Governor hot Wheels down there, come on now.

363
00:17:48,760 --> 00:17:51,560
Speaker 9: And the only thing hot about him is that he

364
00:17:51,680 --> 00:17:53,040
Speaker 9: is a hot ass mess.

365
00:17:53,080 --> 00:17:56,240
Speaker 1: Honey. Look, I think we can all agree. You can

366
00:17:56,280 --> 00:17:59,760
Speaker 1: make fun of people's ideas, thoughts, what they say, but

367
00:18:00,040 --> 00:18:04,160
Speaker 1: it comes to immutable characteristics like you know the fact

368
00:18:04,160 --> 00:18:07,000
Speaker 1: that he's disabled and can't walk. That that seems so

369
00:18:07,320 --> 00:18:12,040
Speaker 1: below the belt. Having said that, here's how Governor Abbott responded,

370
00:18:12,080 --> 00:18:15,360
Speaker 1: if we can pull that clip up here, somebody put

371
00:18:15,400 --> 00:18:19,680
Speaker 1: him in an X Men costume and he said, yeah,

372
00:18:19,720 --> 00:18:21,240
Speaker 1: I got to add this to my resume. I also

373
00:18:21,280 --> 00:18:24,680
Speaker 1: need the outfit they see me rolling, which I think

374
00:18:24,720 --> 00:18:27,440
Speaker 1: exactly the way you respond to that sort of thing,

375
00:18:27,520 --> 00:18:31,240
Speaker 1: a Matt. So you know, we all fun in games, right,

376
00:18:31,359 --> 00:18:35,320
Speaker 1: but at a certain point, especially if you vehemently dislike

377
00:18:35,520 --> 00:18:39,720
Speaker 1: someone like Jasmine Crockett does for Governor Abbott.

378
00:18:40,000 --> 00:18:41,120
Speaker 2: Seems out of bounds.

379
00:18:41,480 --> 00:18:44,320
Speaker 1: And you know, is this the appropriate way for conservatives

380
00:18:44,320 --> 00:18:48,120
Speaker 1: to respond to what was the Michelle Obama thing? When

381
00:18:48,119 --> 00:18:50,439
Speaker 1: they go low, we go high, which seems to be

382
00:18:50,480 --> 00:18:51,520
Speaker 1: what we are doing now.

383
00:18:53,119 --> 00:18:53,479
Speaker 4: Yeah.

384
00:18:53,520 --> 00:18:58,240
Speaker 5: Well, okay, so as a comedian, I have maybe a

385
00:18:58,359 --> 00:19:01,960
Speaker 5: unique take on it. When it comes to jokes, I

386
00:19:02,000 --> 00:19:07,000
Speaker 5: often lean on the side of jokes are just jokes. However,

387
00:19:08,520 --> 00:19:12,679
Speaker 5: you can also kind of picture, you know, what this

388
00:19:12,720 --> 00:19:15,800
Speaker 5: would look like, you know, if that were said by

389
00:19:15,840 --> 00:19:18,840
Speaker 5: Donald Trump about someone, or if it were said by

390
00:19:19,200 --> 00:19:20,159
Speaker 5: Musk about someone.

391
00:19:21,200 --> 00:19:22,359
Speaker 4: You know, So there's that.

392
00:19:24,600 --> 00:19:27,960
Speaker 5: I think the governor responded in probably the best way

393
00:19:28,320 --> 00:19:31,720
Speaker 5: the possible. But it was almost like in the clip

394
00:19:31,760 --> 00:19:36,159
Speaker 5: when she says it, like you can just like in

395
00:19:36,200 --> 00:19:38,320
Speaker 5: your mind's eye, you can see the people that are

396
00:19:38,359 --> 00:19:39,720
Speaker 5: just off stage going.

397
00:19:41,400 --> 00:19:47,119
Speaker 1: Yeah, you know, yeah, no, that's it's a it's a

398
00:19:47,119 --> 00:19:49,159
Speaker 1: fair point. Yeah, I think jokes are jokes, but the

399
00:19:49,200 --> 00:19:52,520
Speaker 1: problem with this particular situation is she's not joking. She

400
00:19:52,600 --> 00:19:55,640
Speaker 1: genuinely does not like like him, which you know, that's

401
00:19:55,720 --> 00:19:58,440
Speaker 1: that's not cool, Paula Matt brought up. But I thought,

402
00:19:58,480 --> 00:20:00,000
Speaker 1: I think it's a good point, Like the whole shoe

403
00:20:00,080 --> 00:20:02,959
Speaker 1: On the other foot, think could you imagine if President

404
00:20:03,000 --> 00:20:07,320
Speaker 1: Trump was this overt about attacking someone based on nothing

405
00:20:07,440 --> 00:20:11,159
Speaker 1: other than characteristics that they can't help Like that not

406
00:20:11,160 --> 00:20:11,760
Speaker 1: not cool?

407
00:20:12,080 --> 00:20:12,919
Speaker 2: Your thoughts?

408
00:20:13,280 --> 00:20:15,679
Speaker 6: I mean, yeah, they're always calling people ablests and like

409
00:20:15,800 --> 00:20:16,520
Speaker 6: agent whatever.

410
00:20:16,560 --> 00:20:18,399
Speaker 7: You know, they're coming up with whatever the new word is.

411
00:20:18,640 --> 00:20:20,679
Speaker 10: But I think what was so funny is I'm not

412
00:20:20,680 --> 00:20:23,199
Speaker 10: sure if you guys saw her response to it. So

413
00:20:23,240 --> 00:20:26,439
Speaker 10: she tried to say that she meant hot wheels in

414
00:20:26,480 --> 00:20:29,560
Speaker 10: the terms of transportation is bad and did anyone else

415
00:20:29,600 --> 00:20:32,639
Speaker 10: see this? Transportation is bad in Texas? That was what

416
00:20:32,760 --> 00:20:34,600
Speaker 10: she claims that she was talking about.

417
00:20:35,840 --> 00:20:39,200
Speaker 6: I like, you know, it's it's the gaslighting strategy again

418
00:20:39,200 --> 00:20:41,119
Speaker 6: that the Democrats always use to try to say. I

419
00:20:41,160 --> 00:20:43,080
Speaker 6: didn't say that. I didn't mean that. It had nothing

420
00:20:43,119 --> 00:20:44,760
Speaker 6: to do with the fact that he was in a milchair.

421
00:20:45,240 --> 00:20:47,240
Speaker 6: What else would she be referring to calling.

422
00:20:47,760 --> 00:20:49,240
Speaker 4: I think that's what we call a stretch.

423
00:20:51,200 --> 00:20:54,800
Speaker 6: Yeah, SERI, I did not brain cells, but I'm not

424
00:20:54,880 --> 00:20:55,439
Speaker 6: that dumb.

425
00:20:55,520 --> 00:20:56,320
Speaker 8: Like I can.

426
00:20:56,400 --> 00:20:59,159
Speaker 6: I can read through this and this is just nobody's

427
00:20:59,160 --> 00:21:00,480
Speaker 6: buying that.

428
00:21:00,480 --> 00:21:03,360
Speaker 2: That is interesting. Did I actually didn't see that, but yeah,

429
00:21:03,400 --> 00:21:05,119
Speaker 2: that is a stretch.

430
00:21:05,200 --> 00:21:06,639
Speaker 1: It reminds me of I don't know if you all

431
00:21:06,680 --> 00:21:09,600
Speaker 1: saw this, but in the NPR hearings, I believe it was.

432
00:21:09,640 --> 00:21:14,199
Speaker 1: Congressman Brandon Gill asked the CEO of NPR, Hey, you

433
00:21:14,280 --> 00:21:18,600
Speaker 1: tweeted white people should pay what reparations, and she's like,

434
00:21:18,600 --> 00:21:21,920
Speaker 1: well that I didn't mean monetary reparations. I just meant,

435
00:21:21,920 --> 00:21:25,760
Speaker 1: you know, observing what we have all benefited from. Like, yeah,

436
00:21:26,680 --> 00:21:29,240
Speaker 1: I don't think that's what you meant by that one,

437
00:21:29,600 --> 00:21:34,520
Speaker 1: But nice try, lady. You know the kind of changing

438
00:21:34,520 --> 00:21:39,400
Speaker 1: topics entirely doge. We've talked about this pretty much endlessly.

439
00:21:40,160 --> 00:21:42,240
Speaker 1: A lot of support from the American people in terms

440
00:21:42,320 --> 00:21:46,840
Speaker 1: of canceling money that shouldn't be going places taxpayer dollars

441
00:21:46,840 --> 00:21:50,520
Speaker 1: and saving taxpayer dollars. Elon Musk and his team did

442
00:21:50,560 --> 00:21:53,199
Speaker 1: an interview with Brett Behar. A lot of stuff in

443
00:21:53,240 --> 00:21:55,240
Speaker 1: that whole interview. You can watch the whole thing on

444
00:21:55,440 --> 00:21:57,159
Speaker 1: X if you'd like. But I thought this was the

445
00:21:57,200 --> 00:21:59,600
Speaker 1: most fascinating clip. Brett bear asks, Hey, what's the most

446
00:22:00,119 --> 00:22:02,480
Speaker 1: regious thing that you've seen so far?

447
00:22:02,680 --> 00:22:05,080
Speaker 2: And this was Elon's answer. Play that clip.

448
00:22:05,480 --> 00:22:05,680
Speaker 4: Yeah.

449
00:22:05,760 --> 00:22:11,919
Speaker 9: For example, like the simple survey that was literally ten

450
00:22:12,000 --> 00:22:13,920
Speaker 9: question survey that you could do with survey monkey quash

451
00:22:13,960 --> 00:22:17,679
Speaker 9: about ten thousand dollars was the government was being charged

452
00:22:17,880 --> 00:22:19,040
Speaker 9: almost a billion.

453
00:22:18,720 --> 00:22:20,520
Speaker 4: Dollars for that for just a survey.

454
00:22:20,520 --> 00:22:22,760
Speaker 9: A billion dollars for a simple online survey.

455
00:22:22,800 --> 00:22:23,960
Speaker 2: Do you like the National Park.

456
00:22:24,440 --> 00:22:26,399
Speaker 9: And then there've hit me no feedback loop for what

457
00:22:26,440 --> 00:22:28,040
Speaker 9: would be done with that survey, so the so we

458
00:22:28,040 --> 00:22:28,320
Speaker 9: would just.

459
00:22:28,320 --> 00:22:28,920
Speaker 4: Go to nothing.

460
00:22:31,040 --> 00:22:36,760
Speaker 1: So to characterize that we spent a million percent more

461
00:22:36,880 --> 00:22:40,800
Speaker 1: than we probably should have on a survey that won,

462
00:22:40,840 --> 00:22:43,119
Speaker 1: in my opinion, didn't matter early. I don't people like

463
00:22:43,160 --> 00:22:45,119
Speaker 1: the national parks? Do we really need a survey for that?

464
00:22:45,240 --> 00:22:47,600
Speaker 1: And two didn't actually go anywhere, like there were no

465
00:22:47,640 --> 00:22:50,440
Speaker 1: real results and they didn't kind of go anywhere. Matt,

466
00:22:50,520 --> 00:22:53,600
Speaker 1: you know, how much would you charge the federal government

467
00:22:53,720 --> 00:23:00,000
Speaker 1: for conducting a similar survey if it were up to you.

468
00:22:59,520 --> 00:23:03,040
Speaker 4: I mean, I wouldn't be smart enough to ask them

469
00:23:03,040 --> 00:23:03,520
Speaker 4: for money.

470
00:23:03,800 --> 00:23:06,800
Speaker 5: It's really that simple, like, well, you all you want

471
00:23:06,840 --> 00:23:09,119
Speaker 5: to know if they like the national parks? Hey, Joe

472
00:23:09,520 --> 00:23:12,040
Speaker 5: you like National Park? Yeah, Joe likes some you know.

473
00:23:13,119 --> 00:23:18,520
Speaker 5: And what's fascinating is, you know, the backlash to the

474
00:23:19,320 --> 00:23:22,919
Speaker 5: whole idea of making the government more efficient. And I

475
00:23:23,000 --> 00:23:26,639
Speaker 5: ask these people's like, are you against government efficiency or

476
00:23:26,680 --> 00:23:29,240
Speaker 5: are you just against elon Musk? Because I feel like

477
00:23:29,680 --> 00:23:33,399
Speaker 5: it kind of leans towards the ladder there because really

478
00:23:34,040 --> 00:23:35,640
Speaker 5: it's like we all have those.

479
00:23:35,480 --> 00:23:38,040
Speaker 4: Apps or I mean I have an app that tells

480
00:23:38,080 --> 00:23:38,960
Speaker 4: me like, hey.

481
00:23:39,320 --> 00:23:43,080
Speaker 5: You subscribe to HBO Max, you never watch it, stop

482
00:23:43,160 --> 00:23:45,400
Speaker 5: paying for it. And I feel like that's just what

483
00:23:45,440 --> 00:23:49,680
Speaker 5: Elon's doing for the country is like, hey, America, you

484
00:23:49,680 --> 00:23:51,960
Speaker 5: you know, have too many streaming services.

485
00:23:52,000 --> 00:23:53,880
Speaker 4: You don't need them all, so you know.

486
00:23:54,359 --> 00:23:57,159
Speaker 1: Yeah, it feels like a very bipartisan issue when it

487
00:23:57,160 --> 00:23:59,680
Speaker 1: comes like we don't want to just light money on fire, Paula.

488
00:23:59,800 --> 00:24:03,640
Speaker 1: But for some reason, this type of stuff Elon's saying, Hey,

489
00:24:04,080 --> 00:24:06,199
Speaker 1: we paid a billion dollars for something that should have

490
00:24:06,240 --> 00:24:10,600
Speaker 1: cost ten grand. That's kind of a problem. That sort

491
00:24:10,640 --> 00:24:17,879
Speaker 1: of things has made people burn Tesla's, point guns at

492
00:24:17,880 --> 00:24:21,679
Speaker 1: people who work at Tesla dealerships, throw molotov cost cocktails

493
00:24:21,920 --> 00:24:24,800
Speaker 1: into showrooms, Like what is going on.

494
00:24:26,560 --> 00:24:27,119
Speaker 4: This whole thing?

495
00:24:27,160 --> 00:24:28,800
Speaker 6: I mean, I want to laugh first at this ten

496
00:24:28,880 --> 00:24:31,399
Speaker 6: billion dollars thing. But my money, your money, all of

497
00:24:31,400 --> 00:24:34,000
Speaker 6: our money went to that, Like that's what our money

498
00:24:34,040 --> 00:24:37,000
Speaker 6: went to, and the entire government. I think what we're

499
00:24:37,000 --> 00:24:41,760
Speaker 6: realizing is a giant money laundering scheme. I'm sorry, how

500
00:24:41,800 --> 00:24:44,120
Speaker 6: are you spending a billion dollars on this? I mean,

501
00:24:44,200 --> 00:24:46,560
Speaker 6: this has got to be money laundering. They're better than

502
00:24:46,560 --> 00:24:50,960
Speaker 6: the cartels down in Mexico. I mean, it's just scam.

503
00:24:51,040 --> 00:24:54,120
Speaker 6: And what we found by this is the entire scam

504
00:24:54,200 --> 00:24:57,400
Speaker 6: has been run by Democrats doing this, and that's why

505
00:24:57,400 --> 00:24:59,520
Speaker 6: they're holding onto this so much, because all they've had

506
00:24:59,600 --> 00:25:02,040
Speaker 6: is the beerocracy that they have going on here. I mean,

507
00:25:02,119 --> 00:25:04,919
Speaker 6: it's I don't even know what to do. I mean,

508
00:25:04,920 --> 00:25:07,320
Speaker 6: I'm grateful for Elon Musk for even doing all of this,

509
00:25:07,440 --> 00:25:12,240
Speaker 6: but what they are defending it because they have something

510
00:25:12,280 --> 00:25:12,720
Speaker 6: to hide.

511
00:25:13,640 --> 00:25:16,720
Speaker 1: Yeah, I know that that seems to be exactly what

512
00:25:16,880 --> 00:25:18,480
Speaker 1: is going on. But what it sounds like to me

513
00:25:18,720 --> 00:25:21,960
Speaker 1: is that Paula Jobob matt Enko needs to charge the

514
00:25:22,000 --> 00:25:25,200
Speaker 1: next LIB president half of that. We'll charge five hundred

515
00:25:25,200 --> 00:25:27,639
Speaker 1: million dollars for the survey that doesn't go anywhere as

516
00:25:27,680 --> 00:25:29,920
Speaker 1: long as the check clears, you know, Yeah, maybe we'll

517
00:25:29,920 --> 00:25:30,560
Speaker 1: be cool with that.

518
00:25:31,240 --> 00:25:32,320
Speaker 4: I can make a great survey.

519
00:25:34,480 --> 00:25:36,159
Speaker 6: I can make a wonderful time question survey.

520
00:25:37,680 --> 00:25:40,240
Speaker 1: Matt Paula, thank you so much for joining us awesome

521
00:25:40,280 --> 00:25:43,440
Speaker 1: battle today. I would love to have you back. Coming

522
00:25:43,560 --> 00:25:46,760
Speaker 1: up next a culture apothecary clip that you're not gonna

523
00:25:46,800 --> 00:25:50,760
Speaker 1: want to miss. And also that whole who is the

524
00:25:50,880 --> 00:25:53,480
Speaker 1: right person to be poking the bear when it comes

525
00:25:53,520 --> 00:25:55,600
Speaker 1: to the whole signal gate, or at least that's what

526
00:25:55,640 --> 00:25:57,960
Speaker 1: the libs are saying. Is it the right person or

527
00:25:58,000 --> 00:25:59,560
Speaker 1: the libs putting up the right person for it? I

528
00:25:59,560 --> 00:26:01,920
Speaker 1: don't act so all that more coming up after the break,

529
00:26:01,920 --> 00:26:03,480
Speaker 1: don't go. I'll be right back after this.

530
00:26:11,480 --> 00:26:14,720
Speaker 11: An acupuncture really cure chronic pain or is it just

531
00:26:14,720 --> 00:26:15,320
Speaker 11: a placebo?

532
00:26:15,680 --> 00:26:18,760
Speaker 12: Absolutely, it can cure it. I've seen it for sure.

533
00:26:18,840 --> 00:26:20,760
Speaker 12: Chronic pain is one of the main things that we

534
00:26:20,840 --> 00:26:24,920
Speaker 12: treat when we go into people's homes, and it's debilitating,

535
00:26:25,040 --> 00:26:27,879
Speaker 12: and so it takes a series of treatments. Absolutely, And

536
00:26:27,880 --> 00:26:30,720
Speaker 12: I always tell people it depends on how severe and

537
00:26:30,760 --> 00:26:34,200
Speaker 12: how chronic, how long you've had the pain as far

538
00:26:34,200 --> 00:26:36,240
Speaker 12: as how many treatments you will need. And we'll give

539
00:26:36,280 --> 00:26:38,480
Speaker 12: people that information when we go into their home and

540
00:26:38,520 --> 00:26:41,200
Speaker 12: do the initial exam. But if they stick to their

541
00:26:41,240 --> 00:26:46,040
Speaker 12: care plan one percent, we recommend other things in conjunction

542
00:26:46,200 --> 00:26:49,639
Speaker 12: with acupuncture that's going to support their ability to not

543
00:26:49,760 --> 00:26:52,439
Speaker 12: only get better but stay better.

544
00:26:52,640 --> 00:26:56,440
Speaker 11: Have you always been interested in Chinese medicine and acupuncture?

545
00:26:56,640 --> 00:26:58,520
Speaker 11: Did you kind of get radicalized on all of.

546
00:26:58,480 --> 00:27:01,720
Speaker 12: This so I an undergo was pre med I thought

547
00:27:01,720 --> 00:27:04,080
Speaker 12: I was going to be a doctor and realized really

548
00:27:04,160 --> 00:27:07,040
Speaker 12: quick that that was not my path. I ended up

549
00:27:07,080 --> 00:27:10,640
Speaker 12: taking a year off and just researching holistic modalities that

550
00:27:10,880 --> 00:27:15,080
Speaker 12: actually work. There is a lot of science behind acupuncture,

551
00:27:15,160 --> 00:27:18,280
Speaker 12: and I found that out very quickly, and that is

552
00:27:18,280 --> 00:27:21,320
Speaker 12: what radicalized me, honestly, was studying the science.

553
00:27:21,440 --> 00:27:23,080
Speaker 11: What does the science say about acupuncture.

554
00:27:23,160 --> 00:27:26,520
Speaker 12: My favorite studies have to do with functional MRIs, and

555
00:27:26,600 --> 00:27:29,879
Speaker 12: they show different parts of the brain lighting up. So

556
00:27:30,119 --> 00:27:33,560
Speaker 12: they'll take the images of somebody in pain and they'll

557
00:27:33,600 --> 00:27:37,600
Speaker 12: have their initial image. They'll do acupuncture on those patients

558
00:27:37,640 --> 00:27:40,360
Speaker 12: and take more images. The parts that lit up while

559
00:27:40,400 --> 00:27:43,399
Speaker 12: they were in pain diminish. Other parts of the brain

560
00:27:43,880 --> 00:27:46,880
Speaker 12: light up. These parts of the brain, particularly the pain

561
00:27:47,040 --> 00:27:53,320
Speaker 12: processing centers, are the ACC which is the anterior singulate cortex.

562
00:27:53,600 --> 00:27:55,880
Speaker 12: This has to do with the emotional side of pain.

563
00:27:55,920 --> 00:27:59,080
Speaker 12: So you know, we've all either had severe pain or

564
00:27:59,160 --> 00:28:02,120
Speaker 12: know someone who's been in pain who is just in tears,

565
00:28:02,320 --> 00:28:04,439
Speaker 12: or you know, ten out of ten, but even if

566
00:28:04,480 --> 00:28:07,800
Speaker 12: five out of ten pain level, you're miserable, and so

567
00:28:07,920 --> 00:28:12,520
Speaker 12: that emotional aspect is these studies suggest acupuncture decreases that

568
00:28:13,320 --> 00:28:17,639
Speaker 12: the other pain processing center has to do with sensory integration,

569
00:28:17,760 --> 00:28:20,760
Speaker 12: so the experience of pain. And then in the brain

570
00:28:20,800 --> 00:28:23,000
Speaker 12: stem there's a part of the brain that lights up

571
00:28:23,040 --> 00:28:27,560
Speaker 12: that releases endorphits, so a natural analgesic essentially. And then

572
00:28:27,600 --> 00:28:31,040
Speaker 12: also the spinal cord, and the spinal cord is responsible

573
00:28:31,080 --> 00:28:34,200
Speaker 12: for sending pain signals to and from the body and

574
00:28:34,240 --> 00:28:38,080
Speaker 12: the brain, and that lights up and suggests that it

575
00:28:38,480 --> 00:28:41,160
Speaker 12: pretty much stops the feeling of pain, depending on how

576
00:28:41,200 --> 00:28:44,240
Speaker 12: severe it is. But that also when you're not in pain,

577
00:28:44,560 --> 00:28:48,320
Speaker 12: your body can go into that parasympathetic state, rest and

578
00:28:48,400 --> 00:28:52,920
Speaker 12: digest and heal. Ultimately, our bodies are created so well

579
00:28:53,280 --> 00:28:56,120
Speaker 12: that we actually can heal from a lot.

580
00:28:56,360 --> 00:28:58,760
Speaker 11: What are some of the craziest things you've helped people

581
00:28:58,800 --> 00:29:00,160
Speaker 11: heal from with acubumpu?

582
00:29:00,400 --> 00:29:04,240
Speaker 12: Stroke is a big one. Paralysis, right, so when people

583
00:29:04,240 --> 00:29:07,640
Speaker 12: have brain injuries, paralysis is what tends to come. I

584
00:29:07,680 --> 00:29:09,920
Speaker 12: worked in a stroke rehab in a hospital up in

585
00:29:09,960 --> 00:29:13,560
Speaker 12: the Bay Area for a number of years, and so

586
00:29:13,800 --> 00:29:17,560
Speaker 12: seeing people paralyzed and then able to either use their

587
00:29:17,600 --> 00:29:21,719
Speaker 12: hands or walk was mind blowing for me, even as

588
00:29:21,760 --> 00:29:25,760
Speaker 12: an acupuncturist. That is where this medicine blew me away.

589
00:29:26,000 --> 00:29:29,400
Speaker 12: Another patient that I've had most recently is a little

590
00:29:29,440 --> 00:29:34,280
Speaker 12: boy who drowned and so another anoxic brain injury, and

591
00:29:35,160 --> 00:29:39,920
Speaker 12: he was completely paralyzed on a ventilator. His parents fought

592
00:29:39,960 --> 00:29:42,600
Speaker 12: to get him out of the hospital because the doctors

593
00:29:42,600 --> 00:29:46,680
Speaker 12: were trying to convince them to euthanize him. What yeah,

594
00:29:46,800 --> 00:29:49,360
Speaker 12: telling them there was no hope at all and that

595
00:29:49,440 --> 00:29:51,000
Speaker 12: he was gone. He was at the bottom of the

596
00:29:51,000 --> 00:29:52,160
Speaker 12: pool for fifteen.

597
00:29:51,840 --> 00:29:54,160
Speaker 11: Minutes, Oh my gosh, and he lived.

598
00:29:55,320 --> 00:29:57,600
Speaker 12: So they revived him. He was in the hospital for

599
00:29:57,640 --> 00:30:00,000
Speaker 12: seven months. They fought to get him out. They finally

600
00:30:00,120 --> 00:30:03,880
Speaker 12: they brought him home with the vent and all the setup.

601
00:30:04,280 --> 00:30:07,720
Speaker 12: And they found me right away and I went in there.

602
00:30:08,040 --> 00:30:12,760
Speaker 12: He went from you know, in a vegetative state essentially

603
00:30:13,120 --> 00:30:18,400
Speaker 12: to opening his eyes. He was he still is tracking

604
00:30:18,440 --> 00:30:22,440
Speaker 12: me around the hospital bed in his room. He's moving

605
00:30:22,480 --> 00:30:28,240
Speaker 12: his legs independently. He's able to squeeze. He has facial

606
00:30:28,440 --> 00:30:32,040
Speaker 12: expressions now when he sees me, his face softens like

607
00:30:32,080 --> 00:30:38,160
Speaker 12: he's actually happy to see me. And it's unbelievable, really smoke.

608
00:30:38,680 --> 00:30:41,600
Speaker 11: How did those parents think to go seek out an

609
00:30:41,600 --> 00:30:43,520
Speaker 11: acupuncturist after their child drowned.

610
00:30:43,640 --> 00:30:48,120
Speaker 12: She's a very smart woman. She's like, very highly educated

611
00:30:48,200 --> 00:30:51,200
Speaker 12: and has you know, just a brain. I mean, she

612
00:30:51,360 --> 00:30:54,760
Speaker 12: really fought so hard in that hospital, which you have

613
00:30:54,840 --> 00:30:58,480
Speaker 12: to do a lot of times when anybody is hospitalized,

614
00:30:58,520 --> 00:31:01,240
Speaker 12: is to be your own advocate. She was doing biineur

615
00:31:01,280 --> 00:31:04,000
Speaker 12: old beats, she was you name it, she did it,

616
00:31:04,240 --> 00:31:07,880
Speaker 12: Cranial sacral work, massage, we did cupping in those treatments,

617
00:31:08,240 --> 00:31:14,200
Speaker 12: mock sebustion, infrared. We pulled out all the stops and

618
00:31:14,240 --> 00:31:16,520
Speaker 12: we still are. I haven't seen him for a couple

619
00:31:16,520 --> 00:31:19,080
Speaker 12: months because I recently had a baby, and so my

620
00:31:19,160 --> 00:31:22,560
Speaker 12: acupuncturist has taken over for me and they're still just

621
00:31:23,120 --> 00:31:26,040
Speaker 12: every day seeing miracles out of this little boy.

622
00:31:26,240 --> 00:31:28,960
Speaker 11: I love that you brought up infrared light therapy and

623
00:31:29,000 --> 00:31:31,360
Speaker 11: red light therapy. I have not had a guest on

624
00:31:31,400 --> 00:31:34,600
Speaker 11: the show yet say anything bad about red light therapy,

625
00:31:34,680 --> 00:31:37,040
Speaker 11: only just singing its praises, saying it's like the future

626
00:31:37,080 --> 00:31:37,520
Speaker 11: of health.

627
00:31:37,760 --> 00:31:40,600
Speaker 12: Absolutely, And if I could say, the only thing bad

628
00:31:40,720 --> 00:31:43,000
Speaker 12: is if you get a junkie light, so make sure

629
00:31:43,040 --> 00:31:46,320
Speaker 12: you get a good one. We actually rent infrared saunas

630
00:31:46,640 --> 00:31:51,440
Speaker 12: through our company in southern California. These tents are mobile,

631
00:31:51,520 --> 00:31:55,400
Speaker 12: so they're really cool, but they also are really well made,

632
00:31:55,440 --> 00:31:58,640
Speaker 12: the Amish make them, and the lights themselves are the

633
00:31:58,680 --> 00:32:01,120
Speaker 12: best lights on the market. So if you're going to

634
00:32:01,120 --> 00:32:03,440
Speaker 12: buy a smaller device or go for a full sauna,

635
00:32:03,640 --> 00:32:05,920
Speaker 12: really just do your research, is what I would say,

636
00:32:05,920 --> 00:32:08,080
Speaker 12: and make sure you're getting a good one, because there

637
00:32:08,120 --> 00:32:11,640
Speaker 12: are bad ones out there. But oh yeah, it is phenomenal. Really,

638
00:32:11,720 --> 00:32:15,880
Speaker 12: I mean the research on infrared is also mind blowing,

639
00:32:16,080 --> 00:32:18,720
Speaker 12: Like it would be dumb not to use infrared.

640
00:32:19,000 --> 00:32:21,760
Speaker 11: How does acupuncture actually work, Like what is going on

641
00:32:21,960 --> 00:32:22,680
Speaker 11: under the skin?

642
00:32:22,920 --> 00:32:26,120
Speaker 12: I like to go back to the functional MRI studies

643
00:32:26,160 --> 00:32:28,920
Speaker 12: because other parts of the brain light up to depending

644
00:32:28,920 --> 00:32:33,320
Speaker 12: on what they're looking at, and so emotional responses. It activates,

645
00:32:34,160 --> 00:32:38,800
Speaker 12: you know, things that are important for motivation, the reward

646
00:32:38,920 --> 00:32:43,120
Speaker 12: system in the brain, but also the hypothalamus, and the

647
00:32:43,200 --> 00:32:47,160
Speaker 12: hypothalamus is part of the autonomic nervous system. The autonomic

648
00:32:47,240 --> 00:32:52,800
Speaker 12: nervous system is all about involuntary things, so heart rate, digestion,

649
00:32:53,240 --> 00:32:56,280
Speaker 12: stress response. And if you think about that, you can

650
00:32:56,880 --> 00:33:02,280
Speaker 12: assume that acupuncture works for blood pressure, any kind of

651
00:33:02,320 --> 00:33:05,840
Speaker 12: digestive issues. Really, I mean ibs, you talk about chrones

652
00:33:06,240 --> 00:33:09,720
Speaker 12: olservative colitis. The amount of things that you can treat

653
00:33:09,760 --> 00:33:14,760
Speaker 12: with acupuncture is vast but because it's the hypothalamus, it

654
00:33:14,880 --> 00:33:20,640
Speaker 12: also impacts the hypothalamic pituitary adrenal axis. And this is

655
00:33:20,680 --> 00:33:25,440
Speaker 12: about reproduction, so fertility is a big one.

656
00:33:25,600 --> 00:33:29,120
Speaker 11: Acupuncture can help cure infertility absolutely.

657
00:33:29,200 --> 00:33:32,760
Speaker 12: So when I first started my journey in acupuncture in

658
00:33:32,800 --> 00:33:36,120
Speaker 12: my career, once I graduated and got my license, I

659
00:33:36,280 --> 00:33:39,800
Speaker 12: was hired to a company that worked for big name

660
00:33:39,840 --> 00:33:43,560
Speaker 12: infertility doctors, and one in particular. We had an office

661
00:33:43,600 --> 00:33:46,840
Speaker 12: in their medical office, and so we saw a lot

662
00:33:46,880 --> 00:33:50,520
Speaker 12: of patients through them, and they did their own statistics

663
00:33:50,520 --> 00:33:54,240
Speaker 12: on us, and they found that the patients who had

664
00:33:54,440 --> 00:33:58,000
Speaker 12: IVF and IUI and clomate and any kind of infertility

665
00:33:58,040 --> 00:34:03,560
Speaker 12: treatments that combined those treatments with acupuncture were sixty five

666
00:34:03,800 --> 00:34:08,719
Speaker 12: percent more likely to get pregnant, stay pregnant, and come

667
00:34:08,760 --> 00:34:13,360
Speaker 12: to full term. That is unreal, Yeah, whoa yeah. So

668
00:34:13,360 --> 00:34:15,400
Speaker 12: they kept us very busy, as did a lot of

669
00:34:15,520 --> 00:34:18,040
Speaker 12: doctors up there in the Bay area. And it was fun.

670
00:34:18,080 --> 00:34:20,000
Speaker 12: It was I was young, it was before I had

671
00:34:20,080 --> 00:34:23,960
Speaker 12: children and knew a ton about IVF in that whole world.

672
00:34:24,520 --> 00:34:26,239
Speaker 12: But we had a lot of patients that came in

673
00:34:26,280 --> 00:34:29,600
Speaker 12: and got pregnant naturally, whether they were having recurrent miscarriages

674
00:34:30,080 --> 00:34:33,399
Speaker 12: or we're having a hard time getting pregnant anyway, and

675
00:34:33,600 --> 00:34:35,960
Speaker 12: we saw a lot of natural pregnancy.

676
00:34:36,080 --> 00:34:40,200
Speaker 11: When you are putting the needle in and it gets

677
00:34:40,360 --> 00:34:43,400
Speaker 11: red around the needle, what is the body telling you

678
00:34:43,640 --> 00:34:44,920
Speaker 11: about that acupuncture point?

679
00:34:45,200 --> 00:34:48,400
Speaker 12: So much so when I see the redness around the needle,

680
00:34:48,560 --> 00:34:50,319
Speaker 12: I know that this is going to be a very

681
00:34:50,400 --> 00:34:53,600
Speaker 12: effective treatment. And right away the patient's going to come

682
00:34:53,640 --> 00:34:55,759
Speaker 12: back to me, either the next day or that night

683
00:34:55,800 --> 00:34:58,200
Speaker 12: and be like, I either feel so good and relaxed,

684
00:34:58,480 --> 00:35:00,440
Speaker 12: or the next day I slept through the for the

685
00:35:00,440 --> 00:35:04,520
Speaker 12: first time in who knows how long. My bowel movements

686
00:35:04,880 --> 00:35:10,040
Speaker 12: are much more normal. I feel happier, my anxiety is less,

687
00:35:10,080 --> 00:35:12,080
Speaker 12: whatever it may be. They'll come back and tell me.

688
00:35:12,160 --> 00:35:16,279
Speaker 12: Because that redness signifies that the brain is being activated.

689
00:35:16,400 --> 00:35:18,880
Speaker 12: You know, the skin is your largest organ, right and

690
00:35:18,960 --> 00:35:21,879
Speaker 12: so when we put the needles in, it tells your

691
00:35:21,880 --> 00:35:24,600
Speaker 12: brain there's been a breach in the skin. The brain

692
00:35:24,800 --> 00:35:29,720
Speaker 12: understands that sins through the blood kind of investigative soldier

693
00:35:29,760 --> 00:35:33,280
Speaker 12: cells to figure out what's going on. It realizes there's

694
00:35:33,320 --> 00:35:36,640
Speaker 12: no open major wound, we're not bleeding out, and does

695
00:35:36,719 --> 00:35:41,560
Speaker 12: further investigation to understand what's going on locally but also systemically,

696
00:35:41,640 --> 00:35:44,840
Speaker 12: So it's looking at how your organs are functioning. But

697
00:35:45,000 --> 00:35:48,120
Speaker 12: also if we're treating me pain, it's going to the

698
00:35:48,160 --> 00:35:51,200
Speaker 12: knee and understanding, okay, maybe there's inflammation there, or maybe

699
00:35:51,200 --> 00:35:54,120
Speaker 12: we have a tear and a tendon or meniscus. You know,

700
00:35:54,160 --> 00:35:57,239
Speaker 12: the list goes on depending on what you're treating. Reports

701
00:35:57,360 --> 00:36:02,319
Speaker 12: back to the brain, and the brain releases biochemicals into

702
00:36:02,400 --> 00:36:04,960
Speaker 12: the brain, into the spinal cord, into the muscles, into

703
00:36:04,960 --> 00:36:08,239
Speaker 12: the circulatory system, and that's what brings about healing and

704
00:36:08,400 --> 00:36:10,480
Speaker 12: homeostasis ultimately balance.

705
00:36:26,239 --> 00:36:28,200
Speaker 2: Welcome back to turning Point tonight. We're together.

706
00:36:28,280 --> 00:36:30,560
Speaker 1: We are charting the course of America's cultural comeback. My

707
00:36:30,640 --> 00:36:33,000
Speaker 1: name is Joe Bob. Thanks so much for sticking with us.

708
00:36:33,480 --> 00:36:35,440
Speaker 1: You know, love to get to the emails. You can

709
00:36:35,480 --> 00:36:38,280
Speaker 1: email anytime, by the way, tpt at TPUSA dot com

710
00:36:38,320 --> 00:36:40,960
Speaker 1: anytime a day during the show, after the show, if

711
00:36:40,960 --> 00:36:43,279
Speaker 1: you're thinking of something while you're having breakfast, you're like, hey,

712
00:36:43,320 --> 00:36:45,040
Speaker 1: they should talk about this. Or you see a TikTok

713
00:36:45,160 --> 00:36:47,920
Speaker 1: or a reel or an Instagram video or whatever content

714
00:36:48,040 --> 00:36:50,719
Speaker 1: you might suggest, they're like, hey, they should see this,

715
00:36:50,880 --> 00:36:53,200
Speaker 1: send it over to us, and if it's gross and

716
00:36:53,239 --> 00:36:55,879
Speaker 1: abhorrent and terrible, there's a good likelihood that will play

717
00:36:55,880 --> 00:36:58,680
Speaker 1: it on this show. We've already played several clips in

718
00:36:58,719 --> 00:37:02,600
Speaker 1: this segment that people send us that well, we're not

719
00:37:02,760 --> 00:37:08,200
Speaker 1: exactly how should I say, family friendly, but still funny nonetheless,

720
00:37:08,200 --> 00:37:10,400
Speaker 1: because the libs are funny to make fun of. So anyways,

721
00:37:10,400 --> 00:37:13,520
Speaker 1: tpt at tpusa dot com. You can email us anytime,

722
00:37:13,560 --> 00:37:15,600
Speaker 1: whether you agree or you're wrong. We love to read

723
00:37:15,600 --> 00:37:18,839
Speaker 1: your emails. Glenn reads every single email that comes through,

724
00:37:18,880 --> 00:37:21,880
Speaker 1: top to bottom, head to toe, so you know, feel

725
00:37:21,880 --> 00:37:24,319
Speaker 1: free to abuse his time in any way you see fit.

726
00:37:25,080 --> 00:37:26,720
Speaker 2: Ronda said this today.

727
00:37:26,800 --> 00:37:29,399
Speaker 1: Hey, my husband and I love your show, enjoying the show,

728
00:37:29,400 --> 00:37:31,120
Speaker 1: refreshing change, really excited about it.

729
00:37:31,120 --> 00:37:31,680
Speaker 2: Thank you, Rond.

730
00:37:31,680 --> 00:37:33,759
Speaker 1: I really appreciate you sending that nice email. And there's

731
00:37:33,760 --> 00:37:36,440
Speaker 1: a bunch of other nice emails. However, I gotta get

732
00:37:36,480 --> 00:37:37,920
Speaker 1: to this because we teased it in the beginning of

733
00:37:37,920 --> 00:37:39,320
Speaker 1: the show, and I don't want to leave you hanging.

734
00:37:39,760 --> 00:37:43,279
Speaker 1: I was sitting in bed this morning and I get

735
00:37:43,400 --> 00:37:45,279
Speaker 1: updates from the New York Times, and I do that

736
00:37:45,320 --> 00:37:47,440
Speaker 1: so that you don't have to do anything that the libs

737
00:37:47,440 --> 00:37:50,800
Speaker 1: are talking about in the New York Times. I try

738
00:37:50,840 --> 00:37:53,239
Speaker 1: to go through it myself and then bring it to

739
00:37:53,280 --> 00:37:55,720
Speaker 1: you so that you don't have to get pestering updates

740
00:37:55,760 --> 00:37:58,880
Speaker 1: from the New York Times. But this particular one, I

741
00:37:58,960 --> 00:38:02,719
Speaker 1: thought to myself. I read it and I went, no, this.

742
00:38:02,840 --> 00:38:04,600
Speaker 2: Is not no.

743
00:38:04,600 --> 00:38:10,040
Speaker 1: No, of all people, it was talking about slack gait.

744
00:38:10,920 --> 00:38:13,560
Speaker 1: And by the way, this is not condoning anything in

745
00:38:13,600 --> 00:38:17,040
Speaker 1: that situation. Not a good look for the Trump administration

746
00:38:17,120 --> 00:38:19,720
Speaker 1: to be communicating about what was going on in Yemen

747
00:38:19,920 --> 00:38:23,239
Speaker 1: on an unsecure network that none of that needs to

748
00:38:23,239 --> 00:38:26,520
Speaker 1: be relitigated. But at the same time, if you're going

749
00:38:26,560 --> 00:38:32,040
Speaker 1: to criticize it from the libs, the absolute last person

750
00:38:32,160 --> 00:38:36,839
Speaker 1: that probably has the gravitas to be able to criticize

751
00:38:36,880 --> 00:38:41,040
Speaker 1: it would be Hillary freaking Clinton. And who do I

752
00:38:41,160 --> 00:38:44,120
Speaker 1: see on my phone who wrote an opinion piece for

753
00:38:44,200 --> 00:38:50,040
Speaker 1: The New York Times about the whole signal isssue Hillary

754
00:38:50,080 --> 00:38:54,640
Speaker 1: Freaking Clinton, entitled Hillary Clinton, how much dumber will this get?

755
00:38:55,160 --> 00:38:58,239
Speaker 2: I don't know, Hillary. I wanted to you ask the

756
00:38:58,239 --> 00:38:59,279
Speaker 2: people that set up.

757
00:38:59,200 --> 00:39:02,560
Speaker 1: Your private server at your house. Why don't you ask

758
00:39:02,719 --> 00:39:05,719
Speaker 1: Jesus Again? I don't want to get too worked up

759
00:39:05,760 --> 00:39:08,040
Speaker 1: about ben Ghazi. I don't want to get too worked

760
00:39:08,080 --> 00:39:10,640
Speaker 1: up about the fact that the DNC and the Hillary

761
00:39:10,640 --> 00:39:15,120
Speaker 1: Clinton campaign started the whole Russia Gate. Of all of

762
00:39:15,160 --> 00:39:21,279
Speaker 1: the people that have any business criticizing, specifically not having

763
00:39:21,360 --> 00:39:25,880
Speaker 1: quote unquote secure communication, it is freaking Hillary Clinton. Oh

764
00:39:25,920 --> 00:39:28,319
Speaker 1: my gosh, I ranted and railed for way too long.

765
00:39:28,360 --> 00:39:30,000
Speaker 1: I'm not sure we can get to this video clip.

766
00:39:30,440 --> 00:39:34,120
Speaker 1: Uh sorry, it was just it was just a morning

767
00:39:34,320 --> 00:39:36,799
Speaker 1: I saw my phone and I just went, no, this

768
00:39:36,960 --> 00:39:37,480
Speaker 1: is too.

769
00:39:37,360 --> 00:39:40,320
Speaker 2: Much, seriously too much.

770
00:39:41,160 --> 00:39:42,880
Speaker 1: We may just have time to exqueeze this clip and

771
00:39:42,960 --> 00:39:45,400
Speaker 1: under the belt. It is fun Friday. Let's have some

772
00:39:45,480 --> 00:39:48,040
Speaker 1: fun fun female Friday. Speaking of Hillary Clinton, who is

773
00:39:48,040 --> 00:39:50,080
Speaker 1: not a woman, who will ever be the president, Play

774
00:39:50,120 --> 00:39:52,279
Speaker 1: this clip and we'll we'll wrap it up.

775
00:39:53,560 --> 00:39:57,640
Speaker 4: Did they have a female president? Guys? Yay, a female.

776
00:40:00,080 --> 00:40:03,560
Speaker 13: People think People think a female president is good because

777
00:40:03,800 --> 00:40:06,839
Speaker 13: a female president would have never start a war, right,

778
00:40:07,040 --> 00:40:08,799
Speaker 13: what is the last time a woman started a fight?

779
00:40:08,920 --> 00:40:18,520
Speaker 13: I think a female president will's not a war on

780
00:40:18,600 --> 00:40:22,600
Speaker 13: other country, but the other country will have to guess

781
00:40:22,680 --> 00:40:35,799
Speaker 13: what they did the wrong. A female president would have

782
00:40:35,800 --> 00:40:38,239
Speaker 13: started war or other country over something they did. The

783
00:40:38,280 --> 00:40:39,319
Speaker 13: wrong five years ago.

784
00:40:42,840 --> 00:40:45,319
Speaker 2: That's that's all the time we have for I gotta

785
00:40:45,360 --> 00:40:46,960
Speaker 2: wrap it up. Charlie's gonna take us out. We will

786
00:40:46,960 --> 00:40:48,600
Speaker 2: see you next week. Have a great weekend.

787
00:40:48,719 --> 00:40:54,239
Speaker 1: Until we see a God bless America.

788
00:40:54,480 --> 00:40:57,640
Speaker 14: The media has done everything they possibly can to weaken

789
00:40:57,800 --> 00:41:01,279
Speaker 14: Elon Musk and the DOJE effort. The DOJE effort, the

790
00:41:01,280 --> 00:41:05,240
Speaker 14: Department of Government Efficiency is a once in a century

791
00:41:05,280 --> 00:41:09,720
Speaker 14: opportunity to restrain the size the scope of the federal government.

792
00:41:09,960 --> 00:41:12,239
Speaker 14: We have gone so far off the founders and the

793
00:41:12,239 --> 00:41:16,799
Speaker 14: Framer's original intent on what a constitutional purpose should be

794
00:41:16,880 --> 00:41:20,680
Speaker 14: for our federal government. Elon Musk sat down yesterday with

795
00:41:20,719 --> 00:41:24,120
Speaker 14: Brett Baer with his team of super geniuses, and this

796
00:41:24,200 --> 00:41:27,759
Speaker 14: is worth going clip by clip and piece by piece.

797
00:41:27,800 --> 00:41:31,400
Speaker 14: If you missed it, we're going to bring you up

798
00:41:31,400 --> 00:41:36,080
Speaker 14: to speed. It was phenomenal. This group of super geniuses

799
00:41:36,160 --> 00:41:39,400
Speaker 14: are a blessing to our nation. You see, the media

800
00:41:39,440 --> 00:41:41,279
Speaker 14: wants you to believe that they are a menace to

801
00:41:41,360 --> 00:41:44,759
Speaker 14: our nation, when in reality, it's the permanent federal bureaucracy

802
00:41:44,800 --> 00:41:48,200
Speaker 14: that does nothing all day long at best, and does

803
00:41:48,280 --> 00:41:51,960
Speaker 14: active damage to our country at worst. They're passing rules

804
00:41:51,960 --> 00:41:55,439
Speaker 14: and regulations that have no applicability to your life. They're

805
00:41:55,440 --> 00:41:58,399
Speaker 14: the ones that we're investigating President Trump. They're the ones

806
00:41:58,440 --> 00:42:00,759
Speaker 14: that are going after small businesses. They're the ones that

807
00:42:00,840 --> 00:42:04,280
Speaker 14: were going after moms and dads at school board meetings.

808
00:42:05,360 --> 00:42:09,279
Speaker 14: And also there's just the unnecessary administrative bloat at the

809
00:42:09,280 --> 00:42:12,640
Speaker 14: Department of Education and Health and Human Services. For example,

810
00:42:12,960 --> 00:42:15,480
Speaker 14: at the Department of Health and Human Services, Bobby Kennedy

811
00:42:15,520 --> 00:42:19,000
Speaker 14: has identified there are one hundred communication departments.

812
00:42:20,200 --> 00:42:20,800
Speaker 2: One hundred.

813
00:42:21,600 --> 00:42:24,440
Speaker 14: He says, we should just have one, consolidate it. We

814
00:42:24,480 --> 00:42:29,560
Speaker 14: don't need one hundred separate communication departments. And at every corner,

815
00:42:29,719 --> 00:42:32,960
Speaker 14: every turn, as you work hard to write your checks

816
00:42:32,960 --> 00:42:35,320
Speaker 14: by April fifteenth and tax days right around the corner,

817
00:42:35,560 --> 00:42:38,480
Speaker 14: you send that money to Washington, DC and have it

818
00:42:38,520 --> 00:42:45,080
Speaker 14: wasted with zero concern for fiscal prudence, for zero concern

819
00:42:46,360 --> 00:42:50,520
Speaker 14: to try to balance the budget. And Elon Musk, despite

820
00:42:50,680 --> 00:42:55,560
Speaker 14: everything that he has to lose the teslatarism to death threats,

821
00:42:56,280 --> 00:42:59,800
Speaker 14: them going after his children. Elon Musk is an anti

822
00:43:00,120 --> 00:43:06,400
Speaker 14: fragile individual. You could be fragile, you shatter upon any opposition.

823
00:43:06,440 --> 00:43:11,520
Speaker 14: You could be strong, someone that is able to endure opposition,

824
00:43:11,560 --> 00:43:15,000
Speaker 14: but anti fragile and Donald Trump is the same way.

825
00:43:15,239 --> 00:43:21,640
Speaker 14: They get stronger the more you attack them. They find

826
00:43:21,840 --> 00:43:24,200
Speaker 14: energy and a life force the more that you throw

827
00:43:24,200 --> 00:43:27,520
Speaker 14: at them. Elon must set down with this group of

828
00:43:27,560 --> 00:43:31,799
Speaker 14: super geniuses and understand how blessed we are to have

829
00:43:31,880 --> 00:43:36,000
Speaker 14: people with this high iq, this determination working in our

830
00:43:36,040 --> 00:43:39,920
Speaker 14: government and our media is truly the enemy of the

831
00:43:39,920 --> 00:43:43,120
Speaker 14: American people for trying to dox them and stop them.

832
00:43:43,280 --> 00:43:46,080
Speaker 14: We may never have this chance again to have this

833
00:43:46,560 --> 00:43:51,319
Speaker 14: many capable people serving in our government, to restore the

834
00:43:51,480 --> 00:43:59,440
Speaker 14: constitutional intent with real kind of business expertise, real wisdom.

835
00:43:59,640 --> 00:44:01,960
Speaker 14: These studs and I want to play this. Let's just

836
00:44:02,000 --> 00:44:04,760
Speaker 14: go one by one. Let's start with cut three forty

837
00:44:04,800 --> 00:44:06,719
Speaker 14: and by the way, credit to Brett Baer, he did

838
00:44:06,719 --> 00:44:09,799
Speaker 14: a terrific job last night play cut three forty.

839
00:44:10,200 --> 00:44:13,040
Speaker 9: And I sort of at a high level, you should

840
00:44:13,040 --> 00:44:15,560
Speaker 9: think of this as we are. We want to reduce

841
00:44:15,680 --> 00:44:19,040
Speaker 9: the spending by eliminating waste and forward, reduce the spending

842
00:44:19,080 --> 00:44:23,600
Speaker 9: by fifteen percent, which seems really quite achievable. The government

843
00:44:23,719 --> 00:44:27,520
Speaker 9: is not if not efficient, and there's a lot of

844
00:44:27,560 --> 00:44:31,160
Speaker 9: waste forward, so we feel confident that fifteen percent reduction

845
00:44:31,719 --> 00:44:36,960
Speaker 9: can can be done without affecting any of the critical

846
00:44:37,000 --> 00:44:38,120
Speaker 9: government services.

847
00:44:38,400 --> 00:44:42,759
Speaker 14: You could only be against this if you work for

848
00:44:42,800 --> 00:44:47,239
Speaker 14: the government, are receiving graft from the federal government, or

849
00:44:47,280 --> 00:44:50,760
Speaker 14: you're in on the entire cabal against the American people.

850
00:44:51,400 --> 00:44:56,040
Speaker 14: This truly is the citizens versus the Leviathan. It is

851
00:44:56,080 --> 00:45:05,960
Speaker 14: the citizens versus the the intractable federal bureaucracy. Elon Musk continues,

852
00:45:06,840 --> 00:45:10,280
Speaker 14: Let's play cut three forty four Social Security.

853
00:45:10,840 --> 00:45:13,080
Speaker 15: One of the first things we learned is that they

854
00:45:13,080 --> 00:45:15,680
Speaker 15: get phone calls every day of people trying to change

855
00:45:15,680 --> 00:45:18,520
Speaker 15: direct positive information. So when you want to change your

856
00:45:18,560 --> 00:45:21,520
Speaker 15: bank account, you can call sercial Security. We learned forty

857
00:45:21,520 --> 00:45:24,279
Speaker 15: percent of the phone calls that they get are from fraudsters,

858
00:45:24,480 --> 00:45:25,240
Speaker 15: almost half.

859
00:45:25,200 --> 00:45:28,560
Speaker 9: Yes, and they steal people's social security. Is what happens

860
00:45:28,800 --> 00:45:31,440
Speaker 9: is they call in, they say they claim to be

861
00:45:32,200 --> 00:45:36,239
Speaker 9: a retiree. Then they and they convinced the post the

862
00:45:36,239 --> 00:45:39,480
Speaker 9: Social Security posts on the phone to change where.

863
00:45:39,280 --> 00:45:40,080
Speaker 4: The money is flowing.

864
00:45:40,640 --> 00:45:43,279
Speaker 9: It actually goes to some fraudster. Is this happening all

865
00:45:43,360 --> 00:45:45,879
Speaker 9: day every day and then somebody doesn't received their social

866
00:45:45,880 --> 00:45:49,080
Speaker 9: security Is because of all the fraud loopholes in the

867
00:45:49,080 --> 00:45:53,520
Speaker 9: social security system.

868
00:45:53,680 --> 00:45:56,360
Speaker 14: You have the world's richest man and the greatest innovator

869
00:45:58,080 --> 00:46:00,640
Speaker 14: maybe of the last one hundred years, definitely of a

870
00:46:00,680 --> 00:46:05,600
Speaker 14: generation that is using his brain power, his capacity, his

871
00:46:05,800 --> 00:46:09,680
Speaker 14: fortune to go make sure that fraudsters are not able

872
00:46:09,719 --> 00:46:12,880
Speaker 14: to steal social Security checks. The Democrats in the media

873
00:46:12,920 --> 00:46:15,719
Speaker 14: are lying, oh, they want to cut Social Security. They're

874
00:46:15,760 --> 00:46:18,040
Speaker 14: actually trying to save it for all of you that

875
00:46:18,080 --> 00:46:21,719
Speaker 14: paid into it. Stephen Davis, who have had an opportunity

876
00:46:21,760 --> 00:46:25,200
Speaker 14: to know who is a super genius. This is a

877
00:46:25,239 --> 00:46:28,319
Speaker 14: guy that could run any fortune one hundred company. He

878
00:46:28,360 --> 00:46:31,640
Speaker 14: could run Amazon, he could run Salesforce, he could run

879
00:46:32,280 --> 00:46:38,120
Speaker 14: drop Box, he could run Alphabet. This guy is incredibly bright.

880
00:46:38,840 --> 00:46:41,319
Speaker 14: And instead the Democrats, they don't want to try to

881
00:46:41,400 --> 00:46:45,680
Speaker 14: work in the middle to try and find common sense solutions.

882
00:46:45,920 --> 00:46:51,080
Speaker 14: They have zero, zero interest in trying to deliver for

883
00:46:51,080 --> 00:46:54,440
Speaker 14: the American people, because if you're going after the size

884
00:46:54,440 --> 00:46:58,000
Speaker 14: of the federal government, you are going after the untouchable

885
00:46:58,440 --> 00:47:03,200
Speaker 14: relic of the Democrat Party. They worship the state. They

886
00:47:03,200 --> 00:47:08,080
Speaker 14: find meaning from the state. And these group of super geniuses,

887
00:47:08,160 --> 00:47:11,560
Speaker 14: this group of men, they're not flashy, they're motivated by

888
00:47:11,600 --> 00:47:15,520
Speaker 14: patriotism and it's honestly inspiring. It means that we should

889
00:47:15,520 --> 00:47:18,000
Speaker 14: fight even harder here in the grassroots. We should fight

890
00:47:18,040 --> 00:47:20,759
Speaker 14: harder in the trenches, that we should do even more

891
00:47:22,360 --> 00:47:25,239
Speaker 14: because they're out there. There is no reason they have

892
00:47:25,280 --> 00:47:27,480
Speaker 14: to be doing this. It's not for money, it's not

893
00:47:27,520 --> 00:47:30,719
Speaker 14: for fame or fortune. They have themselves docked, they have

894
00:47:30,800 --> 00:47:35,719
Speaker 14: their families being targeted. They're all getting death threats, We're

895
00:47:35,719 --> 00:47:39,440
Speaker 14: all getting death threats. The media is going after them relentlessly.

896
00:47:39,480 --> 00:47:42,680
Speaker 14: Capitol Hill is trying to assail them. And it's all

897
00:47:42,760 --> 00:47:47,560
Speaker 14: because they know that we are careening towards bankruptcy as

898
00:47:47,600 --> 00:47:51,960
Speaker 14: a nation if we do not cut spending significantly. Find

899
00:47:51,960 --> 00:47:55,680
Speaker 14: the waste, find the abuse, find the bloat, find the

900
00:47:55,800 --> 00:47:59,239
Speaker 14: unconstitutional programs. We will rich reach a tipping point of

901
00:47:59,239 --> 00:48:02,080
Speaker 14: no return.

902
00:48:01,800 --> 00:48:02,000
Speaker 7: Eight