1
00:00:00,880 --> 00:00:02,840
Speaker 1: He needs to keep this promise that you don't know

2
00:00:02,880 --> 00:00:05,200
Speaker 1: what's true anymore. It hurts me to see people burning

3
00:00:05,200 --> 00:00:08,240
Speaker 1: the fierce relations don't have that. I just saw like

4
00:00:08,240 --> 00:00:12,119
Speaker 1: the politics unbelievable. It's what you've been waiting for all day.

5
00:00:12,240 --> 00:00:16,680
Speaker 1: America Now, Buck Sexton with America now joined the conversation

6
00:00:16,920 --> 00:00:20,880
Speaker 1: called Buck toll free at eight four four D Buck.

7
00:00:21,239 --> 00:00:26,720
Speaker 1: That's eight four four D to eight to five, sharp mind,

8
00:00:27,040 --> 00:00:32,280
Speaker 1: strong voice, Buck Sexton. Quite a day, quite a week,

9
00:00:32,360 --> 00:00:36,720
Speaker 1: my friends. Welcome team Buck to buck Sexton with America. Now,

10
00:00:36,560 --> 00:00:38,160
Speaker 1: how good to have you here in the Freedom Hunt.

11
00:00:38,200 --> 00:00:42,440
Speaker 1: Appreciate getting a chance to hang out with you. Much

12
00:00:42,479 --> 00:00:46,400
Speaker 1: going on in the news all week, including today and

13
00:00:47,040 --> 00:00:52,680
Speaker 1: the aftermath of that Trump clinic and how to deal

14
00:00:52,760 --> 00:00:56,560
Speaker 1: with the media yesterday still goes on. You could tell

15
00:00:56,600 --> 00:01:00,120
Speaker 1: that some of them, some of the revered journey this

16
00:01:00,280 --> 00:01:03,400
Speaker 1: out there and in the Fourth of State. They were

17
00:01:03,960 --> 00:01:05,840
Speaker 1: the Fourth of State or the fifth column. It depends

18
00:01:05,840 --> 00:01:08,560
Speaker 1: on who you talk to. Uh, they were trying to

19
00:01:09,720 --> 00:01:14,360
Speaker 1: rebound after Trump let him have it. Very entertaining stuff.

20
00:01:14,440 --> 00:01:17,240
Speaker 1: Yesterday we played through some of that audio, um and

21
00:01:17,440 --> 00:01:20,720
Speaker 1: now I think we see that there is a counter

22
00:01:20,800 --> 00:01:24,000
Speaker 1: punch We have a counter puncher in place in the

23
00:01:24,000 --> 00:01:26,720
Speaker 1: White House, because the beginning of the week was all

24
00:01:27,520 --> 00:01:33,039
Speaker 1: the Flynn resignation, Russia, Kremlin. Oh no, we have a

25
00:01:33,160 --> 00:01:36,880
Speaker 1: traitor as the commander in chief. That's what they were saying,

26
00:01:37,480 --> 00:01:40,360
Speaker 1: not necessarily in those words, but it's certainly the implication

27
00:01:41,160 --> 00:01:45,320
Speaker 1: stories about how the intelligence community can't give the president

28
00:01:45,440 --> 00:01:48,200
Speaker 1: information because he'll just run over to his buddies at

29
00:01:48,200 --> 00:01:52,240
Speaker 1: the Kremlin and hand it to them. A scurreless charge,

30
00:01:53,160 --> 00:01:56,360
Speaker 1: but one that they were making under the under the

31
00:01:56,400 --> 00:02:02,520
Speaker 1: guise of journalistic enterprise, and they were using anonymous sources.

32
00:02:02,680 --> 00:02:05,840
Speaker 1: And now here we are, one day removed from the

33
00:02:05,880 --> 00:02:08,800
Speaker 1: Trump press conference where he set the record straight on

34
00:02:08,840 --> 00:02:12,720
Speaker 1: all that and set the media straight to It feels

35
00:02:12,720 --> 00:02:15,640
Speaker 1: a bit different now, doesn't it. But that's not to

36
00:02:15,680 --> 00:02:19,440
Speaker 1: say that they have changed any of their ways. One

37
00:02:19,440 --> 00:02:22,440
Speaker 1: of the more interesting moments today in the new cycle

38
00:02:22,520 --> 00:02:28,360
Speaker 1: came when the Associated Press put out a story that

39
00:02:29,080 --> 00:02:31,800
Speaker 1: claiming a White House aid as a source that I

40
00:02:31,800 --> 00:02:33,959
Speaker 1: have to wonder who in the White House is going

41
00:02:34,000 --> 00:02:37,000
Speaker 1: to leaks, going to leak information damaging to the Trump

42
00:02:37,000 --> 00:02:40,519
Speaker 1: administration right now? That would seem to be a very

43
00:02:40,600 --> 00:02:45,720
Speaker 1: unwise career move, but they were. The Associated Press broke

44
00:02:45,760 --> 00:02:48,480
Speaker 1: a story earlier this morning that the Department of Homeland

45
00:02:48,520 --> 00:02:54,040
Speaker 1: Security was going to use the National Guard to round

46
00:02:54,160 --> 00:02:58,600
Speaker 1: up undocumented immigrants. Now the DHS has come out and

47
00:02:58,639 --> 00:03:04,640
Speaker 1: said that this isn't true, that there is no basis

48
00:03:04,720 --> 00:03:08,440
Speaker 1: for this in terms of an official memo that DHS

49
00:03:08,520 --> 00:03:12,440
Speaker 1: Secretary John Kelly, whom the AP claimed wrote the memo,

50
00:03:14,000 --> 00:03:17,480
Speaker 1: did not write the memo. Now I have to ask you,

51
00:03:18,320 --> 00:03:20,920
Speaker 1: what are we to call this reporting? What are we

52
00:03:20,960 --> 00:03:24,320
Speaker 1: supposed to say about this? They would have, of course

53
00:03:24,440 --> 00:03:27,680
Speaker 1: claimed that this isn't fake news, this is an honest,

54
00:03:27,760 --> 00:03:32,280
Speaker 1: good faith error. Perhaps they would say the White House

55
00:03:32,320 --> 00:03:38,000
Speaker 1: is lying entirely in DHS is lying. But can't we

56
00:03:38,240 --> 00:03:41,280
Speaker 1: at least say this is false news. Seems to me

57
00:03:41,320 --> 00:03:46,080
Speaker 1: to be fake, but it's inaccurate. It is false, and

58
00:03:46,160 --> 00:03:48,960
Speaker 1: yet they ran with it. We can also look at

59
00:03:48,960 --> 00:03:53,400
Speaker 1: this and say is it beneficial or hurtful to the

60
00:03:53,400 --> 00:03:56,440
Speaker 1: Trump administration. Now what's fascinating is I do think there

61
00:03:56,440 --> 00:03:59,720
Speaker 1: are people who advocate for using the National Guard on

62
00:03:59,760 --> 00:04:02,880
Speaker 1: this othern border to protect the border, not necessarily as

63
00:04:02,880 --> 00:04:06,640
Speaker 1: a deportation force. But clearly they went with this because

64
00:04:06,640 --> 00:04:09,040
Speaker 1: it feeds into the narrative. The narrative is that Trump

65
00:04:09,280 --> 00:04:13,440
Speaker 1: is soon to be hitler. He's not quite hitler. They'll

66
00:04:13,440 --> 00:04:18,320
Speaker 1: admit that. Even the craziest lefty will admit that. And

67
00:04:18,360 --> 00:04:20,599
Speaker 1: I mean lefty isn't politics, not as a left handed

68
00:04:21,440 --> 00:04:23,960
Speaker 1: you know, the term sinister, which we all know what

69
00:04:24,000 --> 00:04:26,400
Speaker 1: that means, comes from left handed, believe it or not.

70
00:04:27,560 --> 00:04:29,839
Speaker 1: And I believe that also comes from how if you

71
00:04:29,880 --> 00:04:32,719
Speaker 1: were left handed, they would sometimes search, and those of

72
00:04:32,760 --> 00:04:35,279
Speaker 1: you would that many of you would know the biblical

73
00:04:35,320 --> 00:04:38,320
Speaker 1: reference here. They would search on your left side because

74
00:04:38,320 --> 00:04:39,960
Speaker 1: you would draw your sword with your right hand. But

75
00:04:39,960 --> 00:04:42,240
Speaker 1: if you're left handed, you might carry a weapon on

76
00:04:42,320 --> 00:04:45,480
Speaker 1: your right side and would not be searched as as

77
00:04:45,520 --> 00:04:49,360
Speaker 1: seen as Latin I believe of the left anyway, left

78
00:04:49,360 --> 00:04:55,839
Speaker 1: handed people sinister, So lefties political lefties, Uh, they would

79
00:04:55,839 --> 00:04:57,760
Speaker 1: admit that Trump is not yet hitler. It's gonna be

80
00:04:57,760 --> 00:04:59,839
Speaker 1: a while before he becomes full blown hitler. Okay, well,

81
00:04:59,839 --> 00:05:03,159
Speaker 1: I'm I'm glad that we've at least established that. But

82
00:05:03,240 --> 00:05:07,279
Speaker 1: they think that all their worst fears about Trump are

83
00:05:07,360 --> 00:05:09,599
Speaker 1: coming true. And let me come back to that thought

84
00:05:09,640 --> 00:05:13,320
Speaker 1: in just a moment here, because that's that I'm not

85
00:05:13,360 --> 00:05:16,880
Speaker 1: taking that the way that many would. I'll come back

86
00:05:16,920 --> 00:05:19,800
Speaker 1: to the left's worst fears in just a second. But

87
00:05:19,880 --> 00:05:22,880
Speaker 1: they thought they had the administration not on the ropes

88
00:05:22,960 --> 00:05:26,240
Speaker 1: this week, but certainly dazed. They thought they scored some

89
00:05:26,400 --> 00:05:30,880
Speaker 1: very important points against Donald Trump and his inner circle.

90
00:05:31,279 --> 00:05:33,280
Speaker 1: And then that press conference yesterday, and then all of

91
00:05:33,320 --> 00:05:36,840
Speaker 1: a sudden, today Trump is down at Boeing and he's

92
00:05:36,839 --> 00:05:38,960
Speaker 1: speaking about jobs and the things he's going to do

93
00:05:39,000 --> 00:05:42,080
Speaker 1: with the American people, at least the American people who

94
00:05:42,160 --> 00:05:44,680
Speaker 1: voted for Trump or are willing to give Trump a chance.

95
00:05:45,160 --> 00:05:47,120
Speaker 1: They see this and they say to themselves, well, this

96
00:05:47,200 --> 00:05:50,599
Speaker 1: is what matters, this is what's important. I don't really

97
00:05:50,760 --> 00:05:55,920
Speaker 1: care what General Flynn said to the Vice President. That's

98
00:05:55,920 --> 00:05:58,080
Speaker 1: a matter for the White House to handle, and they did.

99
00:06:00,040 --> 00:06:03,359
Speaker 1: But of course the narrative continues on that Trump is

100
00:06:03,400 --> 00:06:06,640
Speaker 1: a failure, that this is terrible, that everything that's happening

101
00:06:06,720 --> 00:06:10,480
Speaker 1: is awful, and so of course when the Associated Press,

102
00:06:10,760 --> 00:06:13,120
Speaker 1: perhaps operating off of a single member, this is the

103
00:06:13,120 --> 00:06:16,839
Speaker 1: Associated Press AP wires, which you're supposed to be the

104
00:06:16,880 --> 00:06:21,240
Speaker 1: basis for many news stories across the whole spectrum. Right

105
00:06:21,520 --> 00:06:25,240
Speaker 1: many organizations pay for AP news wire feeds to keep

106
00:06:25,279 --> 00:06:27,080
Speaker 1: them up to date on all the incoming stories from

107
00:06:27,080 --> 00:06:31,520
Speaker 1: around the world. AP is supposed to be the objective

108
00:06:31,720 --> 00:06:35,440
Speaker 1: as objective a news source as you will find, gold

109
00:06:35,520 --> 00:06:37,960
Speaker 1: standard for journalists. Whether you believe that or not, I

110
00:06:38,040 --> 00:06:40,560
Speaker 1: leave that to you. But they ran with this National

111
00:06:40,600 --> 00:06:45,080
Speaker 1: Guard story based off of what could be one league.

112
00:06:45,360 --> 00:06:49,800
Speaker 1: DHS has said that it's a lie, and now whom

113
00:06:49,920 --> 00:06:53,480
Speaker 1: whom do we believe? Is this fake news? Well, it

114
00:06:53,600 --> 00:06:57,800
Speaker 1: certainly is damaging the administration, thinly sourced and has been repudiated.

115
00:06:59,480 --> 00:07:02,800
Speaker 1: So we either believe the Associated Press or we believe

116
00:07:02,920 --> 00:07:08,720
Speaker 1: the general who is currently the DHS secretary. So I'll

117
00:07:08,800 --> 00:07:13,840
Speaker 1: leave that as well to your discretion and judgment. But

118
00:07:13,920 --> 00:07:16,120
Speaker 1: they they lost no time in the left deciding that

119
00:07:16,160 --> 00:07:20,000
Speaker 1: this week was when we saw laid bear that Trump

120
00:07:20,080 --> 00:07:23,680
Speaker 1: is a massive failure. In fact, you had look MSNBC.

121
00:07:23,880 --> 00:07:26,960
Speaker 1: I tell you this, it's fine. They want to wear

122
00:07:27,000 --> 00:07:30,400
Speaker 1: their che Givara T shirts and live in Brooklyn and

123
00:07:31,080 --> 00:07:34,040
Speaker 1: hang out with all the hipsters whatever. That's cool. They

124
00:07:34,080 --> 00:07:36,600
Speaker 1: can do that. At least they're open about it. It's

125
00:07:36,640 --> 00:07:39,560
Speaker 1: not my it's not my jam. But they tell you

126
00:07:39,600 --> 00:07:42,040
Speaker 1: who they are and how they do things. Which is

127
00:07:42,480 --> 00:07:44,640
Speaker 1: more honest than a lot of the other journalistic outfits

128
00:07:44,640 --> 00:07:48,360
Speaker 1: out there. But you've got mad Ow who realizes that

129
00:07:48,440 --> 00:07:51,400
Speaker 1: she has to get to the left of CNN, she

130
00:07:51,440 --> 00:07:52,920
Speaker 1: has to get to the left of The New York Times,

131
00:07:52,920 --> 00:07:59,640
Speaker 1: because otherwise, what purpose does MSNBC serve. There isn't some progressive,

132
00:08:00,560 --> 00:08:05,960
Speaker 1: redistribution obsessed collectivist administration to support quite the opposite, So

133
00:08:06,000 --> 00:08:09,200
Speaker 1: they've got to go far left, hard left, and Mattow

134
00:08:09,320 --> 00:08:12,920
Speaker 1: does not disappoint. Let's play the audio. The the personnel

135
00:08:13,080 --> 00:08:17,160
Speaker 1: debacles and the serious scandals that already attend to this

136
00:08:17,240 --> 00:08:21,280
Speaker 1: less than one month old presidency are really, and without hyperbole,

137
00:08:21,360 --> 00:08:23,400
Speaker 1: they are unlike anything that we have ever seen at

138
00:08:23,400 --> 00:08:26,160
Speaker 1: the start of a presidential term. And nobody wants to

139
00:08:26,160 --> 00:08:31,760
Speaker 1: see the United States of America fail. But if you

140
00:08:31,760 --> 00:08:33,280
Speaker 1: want to know what it looks like when a president

141
00:08:33,320 --> 00:08:38,920
Speaker 1: fails in every conceivable way, in every conceivable measure, this

142
00:08:39,000 --> 00:08:41,640
Speaker 1: is what it looks like when a president fails in

143
00:08:41,800 --> 00:08:46,880
Speaker 1: every way, in every way. Uh, I don't know how

144
00:08:46,960 --> 00:08:49,880
Speaker 1: somebody who, of course we are, we're all supposed to

145
00:08:49,920 --> 00:08:52,160
Speaker 1: be very impressed that she's a Rhodes scholar. I will

146
00:08:52,200 --> 00:08:54,080
Speaker 1: tell you this. I've known a number of Rhodes scholars

147
00:08:54,120 --> 00:08:58,640
Speaker 1: personally in my life, oftentimes greatly overrated and not nearly

148
00:08:58,679 --> 00:09:00,719
Speaker 1: as impressive as they think they are. That has been

149
00:09:00,720 --> 00:09:04,120
Speaker 1: my experience. I'm just saying, I'm keeping it real. That's

150
00:09:04,120 --> 00:09:05,679
Speaker 1: what I do here in the Freedom Hunt. But yeah,

151
00:09:05,679 --> 00:09:07,720
Speaker 1: she's a Rhodes scholar, She's supposed to be a top

152
00:09:07,720 --> 00:09:09,960
Speaker 1: tier intellectual. The presence failing in every way, is that

153
00:09:10,040 --> 00:09:16,120
Speaker 1: really the case? Interesting he's gotten through all but one

154
00:09:16,240 --> 00:09:21,800
Speaker 1: of his cabinet nominees. He has managed to do. And

155
00:09:21,840 --> 00:09:25,800
Speaker 1: we'll get the counterpoint to this position that Rachel Matta

156
00:09:25,960 --> 00:09:27,920
Speaker 1: has put forward in just a few moments. I'll get

157
00:09:27,920 --> 00:09:31,920
Speaker 1: back to it. But he's signed an executive order dealing

158
00:09:32,000 --> 00:09:34,839
Speaker 1: with immigration. They're going to sign another one this week.

159
00:09:34,920 --> 00:09:36,480
Speaker 1: It's not gonna have to go through the courts. I

160
00:09:36,480 --> 00:09:39,360
Speaker 1: think they're gonna narrow the focus down next week so

161
00:09:39,400 --> 00:09:43,520
Speaker 1: that a federal judge will really have to expose himself

162
00:09:43,640 --> 00:09:47,960
Speaker 1: as just a wildly partisan activist without any adherence to

163
00:09:48,000 --> 00:09:51,000
Speaker 1: the law whatsoever, if they're going to combat that executive order.

164
00:09:53,880 --> 00:09:58,280
Speaker 1: And then you look at the repeal of Obamacare and

165
00:09:58,400 --> 00:10:02,200
Speaker 1: tax reform, and here is the truth of what's happening

166
00:10:02,200 --> 00:10:04,040
Speaker 1: in this country, and it's just it just begun to

167
00:10:04,120 --> 00:10:07,720
Speaker 1: hit me this week that this is why they're so upset,

168
00:10:07,800 --> 00:10:09,959
Speaker 1: this is why they're Oh, We've got Tom Friedman saying

169
00:10:10,360 --> 00:10:12,760
Speaker 1: the New York Times, I forget about Rachel matt Ow,

170
00:10:12,920 --> 00:10:18,280
Speaker 1: She's she's far left. MSNBC is honest about it's quasi

171
00:10:18,320 --> 00:10:21,080
Speaker 1: love of communism and hatred of America. They're honest about it.

172
00:10:21,320 --> 00:10:23,760
Speaker 1: I'm kidding, not really kind of kidding, maybe a little.

173
00:10:24,720 --> 00:10:27,800
Speaker 1: But you have Tom Friedman, a celebrated columnist for The

174
00:10:27,840 --> 00:10:32,120
Speaker 1: New York Times, saying that the election of Donald Trump

175
00:10:32,280 --> 00:10:35,080
Speaker 1: was comparable to an active war play. That the election

176
00:10:35,120 --> 00:10:39,280
Speaker 1: of Donald Trump on that date in November really comparable

177
00:10:39,440 --> 00:10:42,760
Speaker 1: to an act of war. I think that, um Uh,

178
00:10:42,800 --> 00:10:45,840
Speaker 1: it's one of the most dangerous and profound things that's

179
00:10:46,120 --> 00:10:49,360
Speaker 1: happened to our country, certainly in my lifetime. Because what

180
00:10:49,559 --> 00:10:52,480
Speaker 1: is it that that actually distinguishes what what are our

181
00:10:52,520 --> 00:10:56,360
Speaker 1: crown jewels? Um it's a the way we rotate power,

182
00:10:57,160 --> 00:11:00,960
Speaker 1: our institutions, our constitution, how how we can elections and

183
00:11:01,040 --> 00:11:06,480
Speaker 1: a outside power. Um. According to our top intelligence agencies

184
00:11:06,520 --> 00:11:11,040
Speaker 1: and the FBI, uh intervened in this election. You've got

185
00:11:11,160 --> 00:11:14,920
Speaker 1: Tom Friedman, one of the most overrated columnists on the planet,

186
00:11:14,960 --> 00:11:17,280
Speaker 1: by the way, both in terms of his writing and

187
00:11:17,360 --> 00:11:21,280
Speaker 1: his intellect. But he's saying that the president is really illegitimate.

188
00:11:21,320 --> 00:11:23,559
Speaker 1: That's what he is saying. Earlier in the week of

189
00:11:23,600 --> 00:11:26,360
Speaker 1: the New York Times and others writing stories about how

190
00:11:26,960 --> 00:11:29,280
Speaker 1: they couldn't and and look, the Wall Street Journal went

191
00:11:29,320 --> 00:11:31,120
Speaker 1: with this one too, and I was disappointed that they did.

192
00:11:31,280 --> 00:11:33,560
Speaker 1: Usually the Wall Street Journal is much more sound in

193
00:11:33,600 --> 00:11:35,960
Speaker 1: what it writes than this. But they're writing that the

194
00:11:36,000 --> 00:11:41,360
Speaker 1: president according to sources inside the intel community or former

195
00:11:41,440 --> 00:11:43,440
Speaker 1: U S officials. They're keeping it as broad as possible

196
00:11:43,480 --> 00:11:45,920
Speaker 1: so that we can't know. They're holding back information from

197
00:11:45,920 --> 00:11:49,760
Speaker 1: Trump because he's a traitor. That's what they're saying. And

198
00:11:50,000 --> 00:11:54,080
Speaker 1: this level of hatred is really a form of insanity.

199
00:11:54,200 --> 00:11:57,120
Speaker 1: It's not normal, it's not rational, it's not based in

200
00:11:57,160 --> 00:12:03,640
Speaker 1: any logical policy opposition. They truly hate on a deep

201
00:12:03,720 --> 00:12:05,920
Speaker 1: and personal level, this president. And here's wherever he lives.

202
00:12:06,840 --> 00:12:08,160
Speaker 1: And I want all of you to realize it too.

203
00:12:09,559 --> 00:12:15,040
Speaker 1: They don't hate him because he might destroy America. They

204
00:12:15,080 --> 00:12:18,120
Speaker 1: don't hate him because he's a fascist. He's going to

205
00:12:18,200 --> 00:12:23,160
Speaker 1: become Hitler he's a Nazi and neo Nazi. They don't

206
00:12:23,200 --> 00:12:26,320
Speaker 1: hate him because he's going to round up the UH

207
00:12:26,720 --> 00:12:30,920
Speaker 1: illegal immigrants, sword that he's anti lgbt Q, or that's

208
00:12:30,960 --> 00:12:35,080
Speaker 1: not really why they hate him. They hate him because

209
00:12:35,120 --> 00:12:39,000
Speaker 1: he might be successful. They hate him because he might

210
00:12:39,520 --> 00:12:43,520
Speaker 1: change the rules, and he might prove to the American

211
00:12:43,559 --> 00:12:48,199
Speaker 1: people that there is another way and that his way works,

212
00:12:48,640 --> 00:12:52,239
Speaker 1: and that his ideas and the ideas that he represents,

213
00:12:52,760 --> 00:12:57,960
Speaker 1: when implemented, make the lives of many Americans, millions, tens

214
00:12:58,000 --> 00:13:01,599
Speaker 1: of millions of Americans markedly better, and we become a

215
00:13:01,640 --> 00:13:05,240
Speaker 1: stronger country for it. And that would be such a

216
00:13:05,320 --> 00:13:10,320
Speaker 1: repudiation of these beliefs and ideological positions and posturing that

217
00:13:10,360 --> 00:13:13,120
Speaker 1: we see from the left that nothing could upset them

218
00:13:13,160 --> 00:13:17,280
Speaker 1: more than to be proven wrong. And that is why

219
00:13:17,320 --> 00:13:19,560
Speaker 1: they are hysterical, That is why they're so full of

220
00:13:19,559 --> 00:13:22,920
Speaker 1: hate and so angry, because he might just show that

221
00:13:23,240 --> 00:13:25,400
Speaker 1: what they've all been believing this whole time was really

222
00:13:25,400 --> 00:13:31,800
Speaker 1: a lie. Alright, team, we'll be right back, all right,

223
00:13:31,840 --> 00:13:37,319
Speaker 1: Buck Saxton with America now continues, and we, my friends,

224
00:13:37,559 --> 00:13:42,880
Speaker 1: have a new e p A head whoo party all

225
00:13:43,000 --> 00:13:45,400
Speaker 1: the e p A s where the party is going

226
00:13:45,440 --> 00:13:48,880
Speaker 1: to be because they're gonna take it and make it

227
00:13:49,000 --> 00:13:51,920
Speaker 1: much less powerful in your life, It's gonna be amazing.

228
00:13:52,160 --> 00:13:55,319
Speaker 1: Prove it. Confirmed by a Senate vote of fifty two

229
00:13:55,400 --> 00:14:01,520
Speaker 1: to forty six party line. Uh, no, surprise there, And

230
00:14:02,400 --> 00:14:05,760
Speaker 1: there's this recognition on the left. Wait a second. Obama

231
00:14:05,800 --> 00:14:09,440
Speaker 1: didn't pass any really important climate legislation he could have.

232
00:14:09,559 --> 00:14:11,760
Speaker 1: By the way, don't ever let them get away with this.

233
00:14:11,960 --> 00:14:15,839
Speaker 1: They'll act like Obama love the environment so much. Mmmm.

234
00:14:16,080 --> 00:14:19,160
Speaker 1: Interesting because when he had control of the House and

235
00:14:19,200 --> 00:14:22,520
Speaker 1: the Senate two thousand did he pass it? Was there

236
00:14:22,560 --> 00:14:25,000
Speaker 1: any important legislation on the climate that was I mean

237
00:14:25,040 --> 00:14:27,200
Speaker 1: what I mean important? Now they'll say something was important,

238
00:14:27,200 --> 00:14:30,640
Speaker 1: but anything that really mattered? Why was it? Why? Why

239
00:14:30,720 --> 00:14:33,040
Speaker 1: was there such a need to do this through executive

240
00:14:33,120 --> 00:14:37,560
Speaker 1: order only? Oh, that's right. There are Democrats senators and congressmen.

241
00:14:37,600 --> 00:14:40,880
Speaker 1: They're Democrats who live in states where the energy sector

242
00:14:40,960 --> 00:14:45,640
Speaker 1: is important. The Democrats who live in places where deciding

243
00:14:45,720 --> 00:14:48,120
Speaker 1: that you're going to force people to put solar panels

244
00:14:48,160 --> 00:14:53,160
Speaker 1: on their houses is not necessarily popular, where people want

245
00:14:53,240 --> 00:14:57,960
Speaker 1: cheap energy, and they recognize that this whole climate change

246
00:14:58,000 --> 00:15:03,200
Speaker 1: going to destroy everything. He is a ruse. Okay, But

247
00:15:03,320 --> 00:15:06,040
Speaker 1: we have this new e p A head, Prue. He's

248
00:15:06,080 --> 00:15:11,160
Speaker 1: been confirmed and he was state attorney he's uh yeah,

249
00:15:11,200 --> 00:15:14,520
Speaker 1: state attorney general for Oklahoma, and he's sued the e

250
00:15:14,640 --> 00:15:16,480
Speaker 1: p A bunch of times in the past, so he

251
00:15:16,520 --> 00:15:18,320
Speaker 1: knows how the e p A does what it does,

252
00:15:18,400 --> 00:15:20,320
Speaker 1: and he's already gone toe to toe with them. You've

253
00:15:20,360 --> 00:15:23,800
Speaker 1: got people inside the e p A lobbying against Pruett.

254
00:15:24,440 --> 00:15:28,240
Speaker 1: That's gonna be awkward. What are you gonna do now

255
00:15:28,440 --> 00:15:31,560
Speaker 1: this guy runs the place? Not a good idea usually

256
00:15:31,560 --> 00:15:34,400
Speaker 1: when someone's probably going to be your boss, to make

257
00:15:34,440 --> 00:15:37,320
Speaker 1: a lot of noise about how that person is unqualified

258
00:15:37,400 --> 00:15:39,440
Speaker 1: for the job. You certainly wouldn't do this in the

259
00:15:39,440 --> 00:15:42,160
Speaker 1: private sector. Oh, that guy is gonna be the new CEO.

260
00:15:42,280 --> 00:15:45,920
Speaker 1: I hate him. I think he's terrible. M it's a

261
00:15:45,920 --> 00:15:49,280
Speaker 1: good way to get your your walking papers. But nonetheless,

262
00:15:50,040 --> 00:15:54,680
Speaker 1: here we have Pruitt new ep A head, and he

263
00:15:54,800 --> 00:15:56,840
Speaker 1: is I was reading through this New York Times piece

264
00:15:57,080 --> 00:15:59,400
Speaker 1: on this whole situation. Of course, they're very upset about this,

265
00:16:00,440 --> 00:16:02,800
Speaker 1: and they have all and so I think the Daily

266
00:16:02,840 --> 00:16:05,160
Speaker 1: Beast also had Oh no, this is all New York Times.

267
00:16:05,200 --> 00:16:08,800
Speaker 1: Pardon me, and they're wondering, what's he going to do

268
00:16:09,440 --> 00:16:11,640
Speaker 1: prove it. Trump's choice is from the New York Times piece.

269
00:16:11,720 --> 00:16:15,920
Speaker 1: Trump's choice for EP administrator is expected to begin attacking

270
00:16:15,920 --> 00:16:21,280
Speaker 1: Obama's environmental legacy using courtroom, courtroom drama, foot dragging, and

271
00:16:21,320 --> 00:16:25,280
Speaker 1: an upending of how E. P. A treats the scientific

272
00:16:25,360 --> 00:16:30,360
Speaker 1: consensus on climate change always fun to talk about. This

273
00:16:30,560 --> 00:16:35,080
Speaker 1: consensus is not science. The scientific consensus for a long

274
00:16:35,160 --> 00:16:40,320
Speaker 1: time was as you know, that the Sun revolved around

275
00:16:40,360 --> 00:16:45,800
Speaker 1: the Earth. Right. The scientific consensus for a long time

276
00:16:46,480 --> 00:16:55,360
Speaker 1: on any number of issues was well wrong. But it changed.

277
00:16:55,440 --> 00:16:58,960
Speaker 1: It changed because someone could prove something. You can have

278
00:16:59,000 --> 00:17:01,520
Speaker 1: a whole room of science is and I'm I'm butchering

279
00:17:01,520 --> 00:17:04,080
Speaker 1: the quote for mind somewhere now, but it's more or

280
00:17:04,160 --> 00:17:06,720
Speaker 1: less said that only takes You can have a room

281
00:17:06,720 --> 00:17:08,679
Speaker 1: full of people saying one thing, but only takes one

282
00:17:08,720 --> 00:17:10,560
Speaker 1: of them to prove me wrong. It doesn't matter what

283
00:17:10,600 --> 00:17:13,320
Speaker 1: they said, it doesn't matter what the consensus is. They

284
00:17:13,359 --> 00:17:16,720
Speaker 1: have to offer up proof. It has to be repeatable,

285
00:17:17,359 --> 00:17:22,760
Speaker 1: and it shouldn't be free from constant inquiry and testing

286
00:17:22,760 --> 00:17:27,000
Speaker 1: and re testing of assumptions and looking at the original hypotheses.

287
00:17:27,119 --> 00:17:29,600
Speaker 1: This is that's all basic scientific method stuff. This is

288
00:17:29,640 --> 00:17:32,600
Speaker 1: like seventh grade science class. But we're supposed to just

289
00:17:33,000 --> 00:17:36,159
Speaker 1: cave to the consensus. The consensus is what's driving all

290
00:17:36,240 --> 00:17:42,200
Speaker 1: this total and utter nonsense. But they're upset because they

291
00:17:42,200 --> 00:17:45,720
Speaker 1: figured that under a Hillary administration they could continue doing

292
00:17:45,800 --> 00:17:48,639
Speaker 1: things like allowing the e p A to regulate c

293
00:17:48,840 --> 00:17:51,359
Speaker 1: O two in the air, pretending that CEO to carbon

294
00:17:51,359 --> 00:17:55,439
Speaker 1: dioxide is a pollutant. The Democrats stayed up all night

295
00:17:55,440 --> 00:17:59,600
Speaker 1: of the Senate floor in order to show their anger

296
00:17:59,680 --> 00:18:05,359
Speaker 1: at the pruit nomination and soon to be confirmation um

297
00:18:05,400 --> 00:18:07,879
Speaker 1: and they wanted Mitch McConnell I got Mr McConnell is

298
00:18:07,880 --> 00:18:10,080
Speaker 1: getting it done on the nominees here for the most part,

299
00:18:10,080 --> 00:18:12,680
Speaker 1: I have credit where its due, and people I think

300
00:18:12,680 --> 00:18:15,280
Speaker 1: it's really easy to talk about how terrible Mitch McConnell is.

301
00:18:15,320 --> 00:18:19,919
Speaker 1: But so Mitch McConnell is managed to get this vote

302
00:18:19,960 --> 00:18:24,720
Speaker 1: done before prue It had to release three thousand emails

303
00:18:24,720 --> 00:18:27,440
Speaker 1: related to his communications with the fossil fuel industry. The

304
00:18:27,800 --> 00:18:30,760
Speaker 1: look the Left is grasping here. They're trying to find something.

305
00:18:31,440 --> 00:18:36,040
Speaker 1: They're trying to find some means of undermining this candidacy.

306
00:18:36,240 --> 00:18:38,000
Speaker 1: This candidate for the e p A is now the

307
00:18:38,040 --> 00:18:42,240
Speaker 1: e p A guy, and they are really upset because

308
00:18:42,240 --> 00:18:44,640
Speaker 1: they have somebody here who they think is far too

309
00:18:44,680 --> 00:18:48,040
Speaker 1: friendly to the fossil fuel industry. Well, I think this

310
00:18:48,119 --> 00:18:49,960
Speaker 1: is I think this is gonna be great. It will

311
00:18:50,000 --> 00:18:53,080
Speaker 1: be really interesting to see as well if he begins

312
00:18:53,119 --> 00:18:56,679
Speaker 1: to root out some of the sketchy dealings of the

313
00:18:56,680 --> 00:18:58,320
Speaker 1: e p A. We know there are some seiure e

314
00:18:58,400 --> 00:19:03,400
Speaker 1: p A administrators who we're using emails to hide their correspondence.

315
00:19:03,560 --> 00:19:08,880
Speaker 1: We know it's a highly politicized agency full of progressive,

316
00:19:09,200 --> 00:19:13,680
Speaker 1: left wing Democrats. And he's gonna go in there, I'm

317
00:19:13,680 --> 00:19:16,119
Speaker 1: hoping not just with a with a scalpel, but with

318
00:19:16,160 --> 00:19:19,720
Speaker 1: a chainsaw, and he's gonna tear this bureaucracy up and

319
00:19:19,800 --> 00:19:22,240
Speaker 1: make sure that it only does things that really protect

320
00:19:22,280 --> 00:19:24,679
Speaker 1: the environment and clean water and clean errow, not that

321
00:19:24,760 --> 00:19:27,520
Speaker 1: pretend to under the guise of collectivism. How we got

322
00:19:27,520 --> 00:19:37,480
Speaker 1: more coming up, Buck Sexton with America now where there

323
00:19:37,560 --> 00:19:40,000
Speaker 1: is always something to talk about, where you can trade

324
00:19:40,000 --> 00:19:42,439
Speaker 1: opinions with Buck. I'm not sure you'll win though. Just

325
00:19:42,560 --> 00:19:46,200
Speaker 1: call eight four four nine hundred Buck, that's eight four

326
00:19:46,320 --> 00:19:50,760
Speaker 1: four nine hundred two eight to five. All right, Buck,

327
00:19:50,800 --> 00:19:54,480
Speaker 1: you're on alright, team Buck. We got phone lines open

328
00:19:54,560 --> 00:19:58,439
Speaker 1: eight four four nine zero zero to eight to five.

329
00:19:59,240 --> 00:20:02,719
Speaker 1: Dutch in Mississippi on the w BUV. Great to hear

330
00:20:02,760 --> 00:20:05,840
Speaker 1: from you, sir. How are you doing, young man? I'm

331
00:20:05,840 --> 00:20:09,199
Speaker 1: all right, sir, thank you for calling in. I'd like

332
00:20:09,280 --> 00:20:13,120
Speaker 1: to talk a little bit about being Ghazi. They tried

333
00:20:13,119 --> 00:20:18,400
Speaker 1: to get open nerve and security and nerve to protect

334
00:20:18,400 --> 00:20:22,760
Speaker 1: those people for well over a year. I think that

335
00:20:22,960 --> 00:20:25,760
Speaker 1: was planned. I think Obama and he will we planned that,

336
00:20:26,640 --> 00:20:29,439
Speaker 1: and they knew that was going to happen because an

337
00:20:29,480 --> 00:20:32,840
Speaker 1: English pool lock tell all their people. Yet we left

338
00:20:32,840 --> 00:20:36,199
Speaker 1: hours there. And I think the poor people who were

339
00:20:36,280 --> 00:20:40,200
Speaker 1: killed was murder and I think it should be declassified

340
00:20:40,760 --> 00:20:44,280
Speaker 1: and investigated to find out just really how much and

341
00:20:44,320 --> 00:20:47,360
Speaker 1: it was involved in that. Well, well, Dutch, I've gotta

342
00:20:47,400 --> 00:20:49,760
Speaker 1: tell you that the four people who were killed were murdered,

343
00:20:49,760 --> 00:20:52,399
Speaker 1: but they were murdered by terrorists were part of Answer

344
00:20:52,400 --> 00:20:55,960
Speaker 1: All Shariah, which is a Jihaddest group based in based

345
00:20:55,960 --> 00:20:59,960
Speaker 1: in Benghazi. I can't say that I would I had agree,

346
00:21:00,160 --> 00:21:02,080
Speaker 1: and and honestly I would need you to explain to

347
00:21:02,080 --> 00:21:04,840
Speaker 1: me why you'd ever think that Hillary would I mean this, Uh,

348
00:21:05,119 --> 00:21:07,280
Speaker 1: forget about the moral question for a second. This caused

349
00:21:07,359 --> 00:21:10,480
Speaker 1: enormous headaches for their administrations. So Dutch, I appreciate you

350
00:21:10,520 --> 00:21:14,479
Speaker 1: calling in from w BUV, Mississippi Shields. Hye, all right, everybody,

351
00:21:14,520 --> 00:21:18,120
Speaker 1: We're joined now by and Coulter. She is an eleven

352
00:21:18,160 --> 00:21:22,120
Speaker 1: time best selling author. She's a syndicated columnist. You all

353
00:21:22,160 --> 00:21:27,439
Speaker 1: know her, and thank you so much for calling in. Oh,

354
00:21:27,480 --> 00:21:30,480
Speaker 1: I'm sorry, twelve pardon me, twelve times New York Times

355
00:21:30,520 --> 00:21:32,760
Speaker 1: bestselling author. I think by sheet here at st aid eleven,

356
00:21:32,760 --> 00:21:34,960
Speaker 1: I'm gonna I'm gonna have to tell somebody they're in trouble.

357
00:21:35,280 --> 00:21:38,040
Speaker 1: So um your calumnist week on the kind. By the way,

358
00:21:38,080 --> 00:21:40,840
Speaker 1: welcome to the syndicated, nationally syndicated version of the Buck

359
00:21:40,880 --> 00:21:43,879
Speaker 1: Sexton Show. Great to have you first time with them. Um,

360
00:21:44,000 --> 00:21:46,680
Speaker 1: so you signed to the lamps Congress. I've been hearing

361
00:21:46,760 --> 00:21:49,080
Speaker 1: back and forth on this all week about whether the

362
00:21:49,119 --> 00:21:52,320
Speaker 1: Congress is are they being deliberative and strategic or are

363
00:21:52,359 --> 00:21:55,240
Speaker 1: they starting to lose their nerve? Which is it? I

364
00:21:55,280 --> 00:21:58,000
Speaker 1: think it's even worse. I think they're they're a majority

365
00:21:58,040 --> 00:22:00,639
Speaker 1: of never trumpers. I mean, we know of it. They

366
00:22:00,680 --> 00:22:04,359
Speaker 1: they were hysterical and opposed to Trump from through most

367
00:22:04,400 --> 00:22:07,080
Speaker 1: of the campaign, looking at any excuse to bail out.

368
00:22:07,400 --> 00:22:11,000
Speaker 1: And we also know what was it that allowed Trump

369
00:22:11,080 --> 00:22:15,000
Speaker 1: to come along and and sweep up first Republican primary

370
00:22:15,080 --> 00:22:18,639
Speaker 1: voters and then general election voters because neither political party,

371
00:22:18,640 --> 00:22:22,520
Speaker 1: including my own Republican party, would deal with the issues

372
00:22:22,720 --> 00:22:25,680
Speaker 1: that Americans have been begging them to deal with, trade

373
00:22:25,760 --> 00:22:29,600
Speaker 1: and most of all, I think immigration. Um. They they

374
00:22:29,680 --> 00:22:32,680
Speaker 1: want to please Chamber of Commerce and their big donors.

375
00:22:33,200 --> 00:22:38,000
Speaker 1: I mean, the Senate passed Rubio's amnesty bill. We know

376
00:22:38,040 --> 00:22:41,560
Speaker 1: where their heart is on this stuff. Um, And they're

377
00:22:41,600 --> 00:22:44,399
Speaker 1: just appalled that someone who hasn't spent his entire life,

378
00:22:44,760 --> 00:22:48,160
Speaker 1: you know, climbing up the political ladder, starting as as

379
00:22:48,200 --> 00:22:51,760
Speaker 1: some you know, local local politician making it to the

380
00:22:51,800 --> 00:22:55,600
Speaker 1: state legislature or finally running for the House, maybe working

381
00:22:55,680 --> 00:22:58,520
Speaker 1: for a senator running for the Senate, their entire lives.

382
00:22:58,560 --> 00:23:00,600
Speaker 1: Now this guy just goes out, makes a eleven billion

383
00:23:00,640 --> 00:23:03,560
Speaker 1: dollars and suddenly becomes president. I think that drives them

384
00:23:03,560 --> 00:23:07,200
Speaker 1: crazy too, now that you point out that they've they've

385
00:23:07,240 --> 00:23:11,479
Speaker 1: passed repeals of Obamacare already. Uh, Paul Ryan, if he

386
00:23:11,520 --> 00:23:14,000
Speaker 1: doesn't go to sleep with a copy of the tax code,

387
00:23:14,040 --> 00:23:16,040
Speaker 1: which I know is seventy thousand pages and probably ten

388
00:23:16,080 --> 00:23:18,120
Speaker 1: feet high or whatever. But you know, next to his bed.

389
00:23:18,200 --> 00:23:20,439
Speaker 1: I don't know who does. Why does this have to

390
00:23:20,440 --> 00:23:22,959
Speaker 1: take so long? Is there really an honest reason as

391
00:23:23,000 --> 00:23:24,960
Speaker 1: to why? As you put out two hundred days for

392
00:23:25,000 --> 00:23:27,720
Speaker 1: the repeal of Obamacare as well as to get something

393
00:23:27,720 --> 00:23:30,280
Speaker 1: going on taxes four I thought taxes were gonna be

394
00:23:30,680 --> 00:23:32,560
Speaker 1: you could do it on a postcard. It was gonna

395
00:23:32,560 --> 00:23:34,520
Speaker 1: be all simplified. If it's simplified, why does it take

396
00:23:34,560 --> 00:23:37,760
Speaker 1: so long? No? I think that's a great question. What

397
00:23:37,880 --> 00:23:40,240
Speaker 1: are they doing? And when you try to figure out

398
00:23:40,280 --> 00:23:42,640
Speaker 1: what they're doing, um, I mean, how do we know

399
00:23:42,800 --> 00:23:45,320
Speaker 1: from what we read or here in the media. Most

400
00:23:45,359 --> 00:23:48,119
Speaker 1: of their activity seems to be calling into the Washington

401
00:23:48,200 --> 00:23:51,239
Speaker 1: Post and New York Times with anti Trump quote. And

402
00:23:51,240 --> 00:23:53,160
Speaker 1: by the way, I should say there are about seven

403
00:23:53,400 --> 00:23:57,000
Speaker 1: really fantastic members. Um. I should probably list them at

404
00:23:57,080 --> 00:23:59,680
Speaker 1: some point while I'm bashing most of them, but most

405
00:23:59,720 --> 00:24:01,879
Speaker 1: of them they just they want to pat on the

406
00:24:01,960 --> 00:24:04,879
Speaker 1: head from from the Washington Post. They want to be

407
00:24:04,920 --> 00:24:09,639
Speaker 1: called respectable by ABC, NBC and CBS. They're going for

408
00:24:10,000 --> 00:24:12,840
Speaker 1: the Nobel Peace Prize by being I don't know if

409
00:24:12,840 --> 00:24:16,960
Speaker 1: you saw. Um. The name McCain is over in Europe

410
00:24:17,480 --> 00:24:22,800
Speaker 1: making hysterical comparisons of Trump to Hitler. Oh, come on,

411
00:24:23,200 --> 00:24:27,119
Speaker 1: come up with something new. McCain was, McCain was comparing

412
00:24:27,160 --> 00:24:29,760
Speaker 1: him to Hitler. That's insane. Well he was, did not

413
00:24:29,960 --> 00:24:33,240
Speaker 1: use the word Hitler. But the answer is yes, it was. Oh,

414
00:24:33,280 --> 00:24:40,440
Speaker 1: growing authoritarianism. We haven't learned the lesson of World War Two.

415
00:24:40,920 --> 00:24:43,280
Speaker 1: Well apparently, I mean he listened to the rest of

416
00:24:43,280 --> 00:24:46,360
Speaker 1: the speech. Apparently he thinks World War Two was fought

417
00:24:46,840 --> 00:24:49,439
Speaker 1: um so that we could have wide open borders and

418
00:24:49,640 --> 00:24:53,879
Speaker 1: free immigration. Um. Because that was that was his attack America.

419
00:24:53,960 --> 00:24:56,600
Speaker 1: It won't be leading the lights in the world anymore, No,

420
00:24:56,760 --> 00:24:59,720
Speaker 1: we can't. We have to fix ourselves before we can,

421
00:25:00,119 --> 00:25:02,240
Speaker 1: you know, be a light of freedom to the rest

422
00:25:02,280 --> 00:25:04,879
Speaker 1: of the world. And uh, And I want to ask you.

423
00:25:04,920 --> 00:25:07,359
Speaker 1: I know your your twelfth best seller is in Trump

424
00:25:07,400 --> 00:25:11,199
Speaker 1: We trust e plurabus awesome, But your eleven is the

425
00:25:11,240 --> 00:25:13,879
Speaker 1: one that I think might tie in here to this

426
00:25:13,960 --> 00:25:17,800
Speaker 1: New York Times piece of in audios America. You have

427
00:25:17,880 --> 00:25:22,200
Speaker 1: Mexican consulates flooded with fearful immigrants. You have to read

428
00:25:22,240 --> 00:25:24,960
Speaker 1: this New York Times piece down about four paragraphs or

429
00:25:24,960 --> 00:25:27,439
Speaker 1: five paragraphs before they point out where they they finally

430
00:25:27,480 --> 00:25:29,159
Speaker 1: say they don't want to make a big deal of it.

431
00:25:29,280 --> 00:25:31,280
Speaker 1: I mean, we're talking about illegals here, because you know,

432
00:25:31,320 --> 00:25:33,680
Speaker 1: why would why would legal immigrants be fearful at all?

433
00:25:34,160 --> 00:25:37,119
Speaker 1: And it says that the fifty Mexican consulates scattered throughout

434
00:25:37,119 --> 00:25:40,679
Speaker 1: the United States are becoming sort of war rooms for

435
00:25:40,760 --> 00:25:43,760
Speaker 1: trying to keep illegals in this country. And you've got

436
00:25:43,760 --> 00:25:47,000
Speaker 1: penyonetto the President of Mexico saying they'll spend fifty million

437
00:25:47,040 --> 00:25:50,560
Speaker 1: dollars on this. Isn't this Mexico subverting US federal law.

438
00:25:50,840 --> 00:25:53,560
Speaker 1: I'm confused that they're they're trying to help illegal stay

439
00:25:53,560 --> 00:25:58,240
Speaker 1: in our country and using diplomatic facilities and Mexican government

440
00:25:58,240 --> 00:26:01,560
Speaker 1: money to do it. No, this is shocking. Um. I

441
00:26:01,560 --> 00:26:03,960
Speaker 1: guess I saw the headlines. I didn't read the article

442
00:26:04,000 --> 00:26:06,160
Speaker 1: on that, I saw the links. I suppose it must

443
00:26:06,160 --> 00:26:11,840
Speaker 1: have been on Drudge. Um. Wow, they're spending money to

444
00:26:12,160 --> 00:26:17,000
Speaker 1: defy United States law. Uh, that's that seems like an

445
00:26:17,040 --> 00:26:18,960
Speaker 1: act of war to me. Let me give you the

446
00:26:19,040 --> 00:26:21,120
Speaker 1: quote Edge. So last month it from New York Times piece.

447
00:26:21,200 --> 00:26:24,600
Speaker 1: Last month, Mexican President Penyonetto announced he has spent fifty

448
00:26:24,640 --> 00:26:28,280
Speaker 1: million to pay for lawyers at every consulate to help

449
00:26:28,280 --> 00:26:32,280
Speaker 1: people facing deportations. So they're they're spending money to to

450
00:26:32,440 --> 00:26:34,520
Speaker 1: make it more difficult to send people illegal who are

451
00:26:34,520 --> 00:26:36,880
Speaker 1: here illegally out of the country. You know, we already

452
00:26:36,920 --> 00:26:41,479
Speaker 1: have uh one quarter of Mexico's population in this country

453
00:26:41,520 --> 00:26:44,119
Speaker 1: taken in just in the last few decades. At what

454
00:26:44,200 --> 00:26:46,120
Speaker 1: point will it be enough? And by the way, look

455
00:26:46,119 --> 00:26:51,000
Speaker 1: at president and see if he looks like your landscaper. No,

456
00:26:51,160 --> 00:26:54,560
Speaker 1: the entire ruling class in in Mexico, they're the Spaniards,

457
00:26:54,560 --> 00:26:58,920
Speaker 1: They're they're they're whiter than the Palm Beach Polo Club. Um,

458
00:26:58,960 --> 00:27:02,240
Speaker 1: but boy, they would they they want to send their

459
00:27:02,280 --> 00:27:07,080
Speaker 1: poorest Mexicans to us. And what about the Trump administration.

460
00:27:07,119 --> 00:27:10,240
Speaker 1: I know there's been some some of a something of

461
00:27:10,240 --> 00:27:12,760
Speaker 1: a dust up this week because he said Docca and

462
00:27:12,800 --> 00:27:14,760
Speaker 1: the children. What do you think he's gonna do? There's

463
00:27:14,800 --> 00:27:19,520
Speaker 1: it's not clear to me. Um, I assume he will

464
00:27:19,880 --> 00:27:24,800
Speaker 1: keep his promises. Um. I mean the DOCTA thing is

465
00:27:24,359 --> 00:27:28,960
Speaker 1: is a total scam. It isn't um for one thing,

466
00:27:29,000 --> 00:27:32,240
Speaker 1: one of the things that the most important points Trump

467
00:27:32,280 --> 00:27:35,960
Speaker 1: made on the entire immigration issue is, Um, Okay, we've

468
00:27:35,960 --> 00:27:39,360
Speaker 1: spent we've spent decades now hearing about the poor illegal

469
00:27:39,400 --> 00:27:41,919
Speaker 1: Can we hear about the poor America? Um? Can we

470
00:27:41,920 --> 00:27:44,560
Speaker 1: have a little time on what do Americans get out

471
00:27:44,560 --> 00:27:47,240
Speaker 1: of this? How's their social security holding up? With all

472
00:27:47,280 --> 00:27:52,160
Speaker 1: of the social security going to to two illegals, and

473
00:27:52,160 --> 00:27:57,280
Speaker 1: and housing aid and food stamps and medical care. Um. No,

474
00:27:57,440 --> 00:28:01,960
Speaker 1: this is Forget the criminals coming across, forget the rapists

475
00:28:02,000 --> 00:28:04,760
Speaker 1: coming across. Um. There was just one I tweeted right

476
00:28:04,800 --> 00:28:08,119
Speaker 1: before I called into you five illegals or according to

477
00:28:08,200 --> 00:28:12,000
Speaker 1: a P style, five men living here in the United

478
00:28:12,040 --> 00:28:14,879
Speaker 1: States illegally. That's a P style. You have to have

479
00:28:14,880 --> 00:28:18,080
Speaker 1: as many syllables as possible. You know, they just horribly

480
00:28:18,400 --> 00:28:22,520
Speaker 1: um kidnapped and savagely murdered a mother of four. Um.

481
00:28:22,560 --> 00:28:25,040
Speaker 1: I just tweeted out that article, even leaving that aside.

482
00:28:25,080 --> 00:28:27,640
Speaker 1: This is expensive. We have our own poor people here

483
00:28:27,640 --> 00:28:30,040
Speaker 1: in America. We have our own Americans who need jobs.

484
00:28:30,280 --> 00:28:34,359
Speaker 1: And what's been great about Trump is he has rested

485
00:28:34,400 --> 00:28:37,560
Speaker 1: the conversation to look at it, look at it from

486
00:28:37,600 --> 00:28:40,840
Speaker 1: the perspective of Americans. I eat the people who elected

487
00:28:40,920 --> 00:28:43,800
Speaker 1: him president. And I know you tweeted something out about

488
00:28:43,840 --> 00:28:46,800
Speaker 1: Justin Trudeau, who actually he came across as as pretty

489
00:28:46,840 --> 00:28:49,000
Speaker 1: slick in the Trump press conference, or at least he

490
00:28:49,040 --> 00:28:52,320
Speaker 1: behaved himself during the press conference. But this notion of

491
00:28:52,360 --> 00:28:55,000
Speaker 1: Canada as the place, you know, bring us you're tired,

492
00:28:55,000 --> 00:28:57,480
Speaker 1: you're poor, Ye're hungry, Oh, open borders Canada, That is

493
00:28:57,480 --> 00:29:00,560
Speaker 1: a complete lie. Canada has a point, sister. Canada has

494
00:29:00,640 --> 00:29:03,520
Speaker 1: very strict controls and immigration and has a tiny illegal

495
00:29:03,520 --> 00:29:06,600
Speaker 1: immigration illegal immigrant population even as a percentage of the

496
00:29:06,640 --> 00:29:09,640
Speaker 1: overall population is compared to this country. They're just social

497
00:29:09,680 --> 00:29:13,040
Speaker 1: justice whims, yes, and it's been going on, I mean

498
00:29:13,080 --> 00:29:17,120
Speaker 1: for decades now. America has taken in legally. I'm even

499
00:29:17,160 --> 00:29:20,440
Speaker 1: talking about the illegals pouring across our border and not

500
00:29:20,720 --> 00:29:25,240
Speaker 1: from our border into Canada. Um, we've taken in more

501
00:29:25,280 --> 00:29:28,800
Speaker 1: refugees than the rest of the world combined, not Canada.

502
00:29:29,560 --> 00:29:32,680
Speaker 1: So you know they can even if they did everything

503
00:29:32,800 --> 00:29:36,000
Speaker 1: Trudeaus pretending he's going to do, which is the you know,

504
00:29:36,120 --> 00:29:39,200
Speaker 1: left wing social justice warrior. We're opening opening up the

505
00:29:39,240 --> 00:29:42,760
Speaker 1: borders whomever wants to come, even if you know they

506
00:29:42,800 --> 00:29:45,000
Speaker 1: have a few decades ago before they can come close

507
00:29:45,080 --> 00:29:47,960
Speaker 1: to catching up to us. We're full on on our

508
00:29:48,080 --> 00:29:52,880
Speaker 1: charity ward cases now. Um, but you know, these DOCCA kids,

509
00:29:53,960 --> 00:29:57,760
Speaker 1: most of them aren't even what the sad stories are. Um,

510
00:29:58,400 --> 00:29:59,760
Speaker 1: just like the kids that were showing up at the

511
00:29:59,800 --> 00:30:02,240
Speaker 1: board or how all of a sudden everybody was like seventeen,

512
00:30:02,840 --> 00:30:06,280
Speaker 1: it's okay, yes, yes, yes, I mean you only have

513
00:30:06,400 --> 00:30:08,720
Speaker 1: to allege that you were brought here as a child.

514
00:30:08,760 --> 00:30:11,240
Speaker 1: How do you prove that? Yeah, I don't, I don't know.

515
00:30:11,280 --> 00:30:13,959
Speaker 1: I wonder what the document. I mean, they're undocumented, aren't they,

516
00:30:13,960 --> 00:30:15,760
Speaker 1: if you use the parlance of the left, So how

517
00:30:15,760 --> 00:30:18,719
Speaker 1: do they prove this? Right? It really is just open,

518
00:30:18,920 --> 00:30:22,040
Speaker 1: open amnesty. And you know, one of the things that's

519
00:30:22,120 --> 00:30:24,920
Speaker 1: nice about Trump is that he does take America's side,

520
00:30:25,120 --> 00:30:28,160
Speaker 1: but he's also very kind and compassionate. Always talks about

521
00:30:28,160 --> 00:30:30,440
Speaker 1: how he loves the Mexican people. For example, it's just

522
00:30:30,520 --> 00:30:34,160
Speaker 1: that our our leaders are having their lunches eaten. And

523
00:30:34,200 --> 00:30:35,640
Speaker 1: I like the way he does that, and I think

524
00:30:35,680 --> 00:30:37,600
Speaker 1: that's what he was doing with DOCCA. But they're better

525
00:30:37,640 --> 00:30:40,440
Speaker 1: not be They're better not Yeah, Okay, we'll have all

526
00:30:40,480 --> 00:30:43,760
Speaker 1: the compassion in the world, but our compassion number one

527
00:30:44,120 --> 00:30:46,560
Speaker 1: has to go to the American people. One more for you.

528
00:30:46,600 --> 00:30:48,280
Speaker 1: And I know you gotta go enjoy your weekend, but

529
00:30:48,320 --> 00:30:49,959
Speaker 1: I just want to ask you this, this story that

530
00:30:50,040 --> 00:30:53,080
Speaker 1: was wrong about the National Guard being deployed as an

531
00:30:53,080 --> 00:30:56,920
Speaker 1: immigrant illegal immigrant roundup force the ap ran it now

532
00:30:56,920 --> 00:30:59,400
Speaker 1: that Trump White House is saying, the DHS secretary saying

533
00:30:59,440 --> 00:31:01,680
Speaker 1: it's non set, what do you make of this? I

534
00:31:01,720 --> 00:31:06,840
Speaker 1: think it's a great idea. Now that the ape is suggested, gosh, fantastic.

535
00:31:06,880 --> 00:31:09,720
Speaker 1: I Trump has noticed this. I mean, why not? That

536
00:31:09,840 --> 00:31:11,800
Speaker 1: is what the National Guard is for. And especially with

537
00:31:11,840 --> 00:31:15,480
Speaker 1: what you began this telling me about they're using consulates

538
00:31:15,560 --> 00:31:22,600
Speaker 1: on in located within our country to defy our laws.

539
00:31:21,920 --> 00:31:24,080
Speaker 1: Really it's insane. I mean you have to read this

540
00:31:24,080 --> 00:31:27,160
Speaker 1: New York Times piece. It is it is like obviously propaganda,

541
00:31:27,200 --> 00:31:29,880
Speaker 1: but on top of that, it is breathtaking what Mexico

542
00:31:30,000 --> 00:31:32,680
Speaker 1: is doing in this country. Yeah, we have just become

543
00:31:32,680 --> 00:31:35,920
Speaker 1: the world floor mat and and I'm supposed to be

544
00:31:36,000 --> 00:31:38,920
Speaker 1: cheering that. Well, no, I think I'll take my own

545
00:31:38,960 --> 00:31:42,160
Speaker 1: side in an argument. And Coulter is the author of

546
00:31:42,240 --> 00:31:45,200
Speaker 1: twelve New York Times bestsellers. Her latest is in Trump,

547
00:31:45,240 --> 00:31:48,640
Speaker 1: We trust e plurabus awesome. Go check it out on Amazon.

548
00:31:48,960 --> 00:31:50,600
Speaker 1: And thank you so much for making time. Great to

549
00:31:50,640 --> 00:31:54,120
Speaker 1: have you, good to talk to. Al Right, everybody, eight

550
00:31:54,120 --> 00:32:02,920
Speaker 1: four to five will be right back. Buck Section with

551
00:32:02,960 --> 00:32:06,360
Speaker 1: America now continues. We've got phones lit up, let's take them.

552
00:32:06,600 --> 00:32:09,520
Speaker 1: Ron in North Carolina, you're on the Buck section show

553
00:32:09,560 --> 00:32:14,600
Speaker 1: my friend welcome. Well, thanks, I appreciate it. Thank you.

554
00:32:14,240 --> 00:32:17,600
Speaker 1: Getting right to what you were talking earlier about the

555
00:32:17,760 --> 00:32:23,000
Speaker 1: article about the intelligence agencies but sharring supposedly not sharing

556
00:32:23,360 --> 00:32:28,640
Speaker 1: information with the president Frum. Yeah. My take on out

557
00:32:28,920 --> 00:32:33,480
Speaker 1: is probably that's going through not just the intelligence but everything.

558
00:32:34,360 --> 00:32:37,240
Speaker 1: How does he get around that? How does he does

559
00:32:37,280 --> 00:32:40,520
Speaker 1: he have to totally clean I mean literally clean house

560
00:32:40,600 --> 00:32:44,240
Speaker 1: like you were saying with chainsaw and not a hacks off. Well,

561
00:32:44,240 --> 00:32:47,240
Speaker 1: you can't really clean house in the intelligence community because

562
00:32:47,960 --> 00:32:51,560
Speaker 1: it's not out in the open. What the political affiliations

563
00:32:51,600 --> 00:32:54,520
Speaker 1: of each individual is. First of all, intel intel community

564
00:32:54,640 --> 00:32:57,560
Speaker 1: is huge. I mean it's it is huge. Uh, it

565
00:32:57,600 --> 00:33:00,520
Speaker 1: really is. Though. It's enormous and so one, especially when

566
00:33:00,520 --> 00:33:04,720
Speaker 1: you add in the military intelligence agencies into it, it's

567
00:33:04,840 --> 00:33:08,600
Speaker 1: it's vast. Uh. So this is a very small group

568
00:33:08,640 --> 00:33:11,920
Speaker 1: of individuals, and I think you know they're trying to

569
00:33:12,000 --> 00:33:14,680
Speaker 1: obscure this because the most the most obvious place for

570
00:33:14,720 --> 00:33:18,080
Speaker 1: this to come from would be Obama appointees at d

571
00:33:18,160 --> 00:33:22,320
Speaker 1: o J maybe and elsewhere in the ladder in the

572
00:33:22,360 --> 00:33:27,440
Speaker 1: final weeks of Obama's presidency, trying to just you know,

573
00:33:29,880 --> 00:33:35,040
Speaker 1: make a problem, make a big problem for the Trump administration. Right,

574
00:33:35,640 --> 00:33:37,600
Speaker 1: And you're saying that, you know, like you were talking

575
00:33:37,600 --> 00:33:40,640
Speaker 1: about the e p A earlier, that's gonna be a

576
00:33:40,640 --> 00:33:44,040
Speaker 1: lot easier to clean up. Well, I mean, imagine who

577
00:33:44,040 --> 00:33:46,720
Speaker 1: goes to work for the e p A. A fair

578
00:33:46,720 --> 00:33:49,880
Speaker 1: amount of them, I would assume. Look, I can say this.

579
00:33:49,920 --> 00:33:51,760
Speaker 1: When I was c I A, I had no interaction

580
00:33:51,800 --> 00:33:53,920
Speaker 1: with the e p A. So I don't know. There's

581
00:33:53,960 --> 00:33:56,680
Speaker 1: some agencies that I know people I spend time working there.

582
00:33:56,680 --> 00:33:58,840
Speaker 1: I've been in the building, I've I've worked with them

583
00:33:58,840 --> 00:34:01,280
Speaker 1: on projects, and you know, so I know people. I

584
00:34:01,400 --> 00:34:03,920
Speaker 1: knew State Department people, well, for example, I don't know

585
00:34:03,960 --> 00:34:06,400
Speaker 1: e p A people, But just based on the mission set,

586
00:34:06,440 --> 00:34:07,960
Speaker 1: I think you can assume that there are a lot

587
00:34:07,960 --> 00:34:10,799
Speaker 1: of folks at the e p A who you know.

588
00:34:11,040 --> 00:34:12,839
Speaker 1: All I can say is they're rooting for Walter Peck

589
00:34:12,920 --> 00:34:19,719
Speaker 1: and Ghostbusters, you know what I mean. Yeah, you've seen Ghostbusters, right? Important? Alright, good,

590
00:34:19,719 --> 00:34:21,839
Speaker 1: just making sure you can't leave that one out wrong,

591
00:34:22,120 --> 00:34:23,839
Speaker 1: But no, I don't know how you really clean it out.

592
00:34:23,880 --> 00:34:25,839
Speaker 1: That's people keep bringing this up, and I know it's

593
00:34:26,160 --> 00:34:29,440
Speaker 1: it sounds good and I appreciate the enthusiasm behind it,

594
00:34:29,440 --> 00:34:31,640
Speaker 1: but would be a very difficult thing to do, and

595
00:34:31,719 --> 00:34:34,200
Speaker 1: I don't think it's even necessary. I think that this

596
00:34:34,360 --> 00:34:37,799
Speaker 1: becomes once you put certain kinds of people at the

597
00:34:37,840 --> 00:34:41,319
Speaker 1: top of these agencies and they set the tone, well,

598
00:34:41,360 --> 00:34:44,400
Speaker 1: then we'll see, you know, then if there are people resigning,

599
00:34:44,440 --> 00:34:47,120
Speaker 1: if there are employees at E p A and at

600
00:34:47,200 --> 00:34:49,520
Speaker 1: d o J and go down the list, if they

601
00:34:49,560 --> 00:34:52,000
Speaker 1: don't like it, they can go. But otherwise they're gonna

602
00:34:52,000 --> 00:34:55,360
Speaker 1: play ball or else they're gonna be you know, sanctioned

603
00:34:55,360 --> 00:34:58,160
Speaker 1: and possibly fired. So that's the way it's good, that's

604
00:34:58,160 --> 00:34:59,759
Speaker 1: the way it goes down. You can't sort of do

605
00:34:59,800 --> 00:35:02,319
Speaker 1: this person by person thing. But it is interesting, isn't

606
00:35:02,320 --> 00:35:03,840
Speaker 1: it that the part of the problem the federal government

607
00:35:03,880 --> 00:35:07,360
Speaker 1: is that it's so big that when people talk about reform,

608
00:35:07,480 --> 00:35:10,480
Speaker 1: I don't think they understand that, you know, they're they're

609
00:35:10,480 --> 00:35:12,720
Speaker 1: they're trying to they're trying to deal with the needle

610
00:35:12,719 --> 00:35:14,160
Speaker 1: and a stack of needles. If you know what I mean.

611
00:35:14,280 --> 00:35:17,879
Speaker 1: It's it's gonna be really hard. It's not. It's not easy,

612
00:35:18,760 --> 00:35:20,759
Speaker 1: all right, Ron and North Carolina Shields side. I thank

613
00:35:20,760 --> 00:35:25,319
Speaker 1: you for calling in Gloria in California. You're on buck

614
00:35:25,360 --> 00:35:32,080
Speaker 1: Sexton with America Now. Hi, Hi, Yeah, I'm I'm calling

615
00:35:32,120 --> 00:35:36,279
Speaker 1: about the wall, yes, ma'am. And I figured that if

616
00:35:36,360 --> 00:35:40,319
Speaker 1: some companies would supply the material, get it right off,

617
00:35:41,120 --> 00:35:43,920
Speaker 1: let the well for people who collecting offer let them

618
00:35:43,960 --> 00:35:47,440
Speaker 1: do the work. I'm sorry you're saying that people that

619
00:35:47,480 --> 00:35:50,000
Speaker 1: are collecting welfare. I missed that for a second. People

620
00:35:50,000 --> 00:35:54,080
Speaker 1: who are collecting welfare should build the wall. Yeah, let

621
00:35:54,080 --> 00:35:56,600
Speaker 1: them get out there. And do you remember Maybe you don't.

622
00:35:56,640 --> 00:36:00,880
Speaker 1: You're probably too young years ago. I can't say that

623
00:36:00,920 --> 00:36:04,160
Speaker 1: I remember that. But um, I I don't. I don't

624
00:36:04,160 --> 00:36:06,640
Speaker 1: know if the wall. First of all, the wall, I

625
00:36:06,640 --> 00:36:12,000
Speaker 1: assume would require some some skills and and background, depending

626
00:36:12,080 --> 00:36:14,960
Speaker 1: especially what we're talking about. Uh, you need you need

627
00:36:15,000 --> 00:36:17,640
Speaker 1: to know how to do construction. You I'm not sure

628
00:36:17,680 --> 00:36:21,160
Speaker 1: that that's something you could just jump into right away. Um,

629
00:36:21,200 --> 00:36:24,160
Speaker 1: I I appreciate the sentiment. I mean work instead of welfare,

630
00:36:24,200 --> 00:36:26,160
Speaker 1: and I know that's a big part of the welfare

631
00:36:26,200 --> 00:36:32,520
Speaker 1: reforms of the nineties. Yeah. Yeah, But people who don't

632
00:36:32,520 --> 00:36:35,680
Speaker 1: live near the near the Mexico Texas or or sorry

633
00:36:35,760 --> 00:36:39,000
Speaker 1: Mexico and southern U. S border, Uh, they might not

634
00:36:39,160 --> 00:36:41,279
Speaker 1: particularly want to have to go down there to go

635
00:36:41,440 --> 00:36:43,359
Speaker 1: you know what I mean. I think now you're asking,

636
00:36:43,400 --> 00:36:45,200
Speaker 1: they're telling people that if they want benefit, they're going

637
00:36:45,239 --> 00:36:47,239
Speaker 1: to have to move and leave where they are, leave

638
00:36:47,239 --> 00:36:48,640
Speaker 1: where they are, leave their families to get out of

639
00:36:48,680 --> 00:36:52,120
Speaker 1: the wall. UM. I think the wall will create obviously

640
00:36:52,200 --> 00:36:55,480
Speaker 1: would be a big employment opportunity, and there are ways

641
00:36:55,560 --> 00:36:59,080
Speaker 1: that this would benefit um, benefit the local economy down there.

642
00:36:59,120 --> 00:37:00,799
Speaker 1: There'll be a lot of construct some jobs. It's a

643
00:37:00,840 --> 00:37:03,719
Speaker 1: massive project. I mean now they've already said that it's

644
00:37:03,800 --> 00:37:06,319
Speaker 1: likely to cost more like I think the most recent

645
00:37:06,400 --> 00:37:09,640
Speaker 1: numb ourselves more like twenty five billion. That's pretty expensive.

646
00:37:09,960 --> 00:37:11,520
Speaker 1: You know, you could probably get like a couple of

647
00:37:11,520 --> 00:37:13,839
Speaker 1: subway lines in New York for that that would go

648
00:37:14,320 --> 00:37:17,400
Speaker 1: for about two miles. But to glory in California, thank

649
00:37:17,440 --> 00:37:19,799
Speaker 1: you very much for calling in Shields High and we

650
00:37:19,880 --> 00:37:23,280
Speaker 1: got our two of the Buck Sexton Show is already

651
00:37:23,360 --> 00:37:26,759
Speaker 1: upon us as wild Stuff. The show flies by. Thank

652
00:37:26,800 --> 00:37:28,440
Speaker 1: you so much for being with me here in the

653
00:37:28,480 --> 00:37:32,640
Speaker 1: Freedom Hunt. Eight four four nine to eight to five.

654
00:37:32,680 --> 00:37:36,960
Speaker 1: Eight four four nine. Buck is the phone number. Do

655
00:37:37,120 --> 00:37:39,480
Speaker 1: give a call. We should chat and we've got a

656
00:37:39,480 --> 00:37:41,359
Speaker 1: lot more to hit in the third hour today, we're

657
00:37:41,360 --> 00:37:43,480
Speaker 1: gonna get into a bit of a freestyle Friday mode

658
00:37:43,480 --> 00:37:46,359
Speaker 1: with some topics that well, you just got to sit

659
00:37:46,440 --> 00:37:48,719
Speaker 1: and wait and see. It's gonna be fun. Uh So

660
00:37:48,920 --> 00:37:50,720
Speaker 1: stay with me. We'll be back right after this break.

661
00:37:52,120 --> 00:37:54,279
Speaker 1: The things that matter most in your day to day

662
00:37:54,320 --> 00:37:57,680
Speaker 1: life are too important to trust to just anyone. That's

663
00:37:57,800 --> 00:38:02,479
Speaker 1: that's why, that's why he's here. Bud Sexton with America now,

664
00:38:02,960 --> 00:38:09,400
Speaker 1: sharp mind, strong voice, Bluck Sexton. Alright, Team Buck, we

665
00:38:09,480 --> 00:38:11,560
Speaker 1: are back. Thank you very much for being here. If

666
00:38:11,560 --> 00:38:13,879
Speaker 1: you want to call in, Freestyle Friday will be upon

667
00:38:13,960 --> 00:38:18,840
Speaker 1: us here shortly eight four four nine to eight to five.

668
00:38:19,000 --> 00:38:21,960
Speaker 1: We have Matthew Culkin as our guest now. He is

669
00:38:22,000 --> 00:38:27,440
Speaker 1: a prominent immigration lawyer and partner at Culkin and Colkin. Matthew,

670
00:38:27,440 --> 00:38:29,920
Speaker 1: thank you for calling in. I appreciate you having me

671
00:38:30,480 --> 00:38:32,239
Speaker 1: so you wrote an editor I see here in the

672
00:38:32,320 --> 00:38:36,680
Speaker 1: Daily Mail and the the headline itself is going to

673
00:38:36,760 --> 00:38:39,200
Speaker 1: get people interested, and I'm sure to take very strong

674
00:38:39,239 --> 00:38:42,640
Speaker 1: positions one way or the other. President Trump has done

675
00:38:42,640 --> 00:38:46,440
Speaker 1: more for illegal immigrant children in two weeks than Obama

676
00:38:46,480 --> 00:38:50,839
Speaker 1: did in two years, claims immigration lawyer. Do tell how

677
00:38:50,880 --> 00:38:54,000
Speaker 1: this is the case. Alright, Well, just for clarification, I

678
00:38:54,200 --> 00:38:56,440
Speaker 1: actually didn't write it. I just was I was just

679
00:38:56,640 --> 00:38:59,000
Speaker 1: quoted in a place. Oh sorry, pardon me, you're you're

680
00:38:59,080 --> 00:39:02,040
Speaker 1: quoted in this go ahead? Yes, Uh, well, okay, this

681
00:39:02,120 --> 00:39:04,759
Speaker 1: is basically just to give you a little background in history. Um,

682
00:39:05,719 --> 00:39:10,480
Speaker 1: there was a huge surge of unaccompanied miners that flowed

683
00:39:10,480 --> 00:39:13,719
Speaker 1: to the to the southern border from from Central America,

684
00:39:14,160 --> 00:39:20,760
Speaker 1: and President Obama enacted a policy that basically prioritized fast

685
00:39:20,760 --> 00:39:23,799
Speaker 1: track deportation process for them and bumped on up to

686
00:39:23,840 --> 00:39:28,000
Speaker 1: the front of the line. And uh, oftentimes, these these kids,

687
00:39:28,040 --> 00:39:31,160
Speaker 1: and it could have been children as young as two

688
00:39:31,239 --> 00:39:35,000
Speaker 1: or three years old, were required to represent themselves before

689
00:39:35,560 --> 00:39:40,360
Speaker 1: the immigration court and they they obviously were ordered reported.

690
00:39:40,440 --> 00:39:44,400
Speaker 1: Usually a three year old can't defend themselves just generally speaking. Uh.

691
00:39:44,440 --> 00:39:47,040
Speaker 1: And then what ended up happening last year in January

692
00:39:47,200 --> 00:39:49,239
Speaker 1: was exactly a year ago, there was a series of

693
00:39:49,320 --> 00:39:52,240
Speaker 1: raids where Immigration and Customs had forced them was kicking

694
00:39:52,280 --> 00:39:55,000
Speaker 1: indoors and taking these kids that have been ordered to

695
00:39:55,040 --> 00:39:57,200
Speaker 1: port without a lawyer and sending them back to their

696
00:39:57,239 --> 00:40:01,200
Speaker 1: native countries. So um, President Trump, in the first two

697
00:40:01,239 --> 00:40:06,080
Speaker 1: weeks of his presidency signed had his his immigration judges,

698
00:40:06,719 --> 00:40:10,840
Speaker 1: the Chief of Christian Judges, signed a memorandum de prioritizing

699
00:40:11,320 --> 00:40:13,919
Speaker 1: these kids deportations because they were put to the very

700
00:40:13,960 --> 00:40:16,720
Speaker 1: front of the line. They were the hot button cases

701
00:40:16,800 --> 00:40:19,520
Speaker 1: that they wanted to dispose of as quickly as possible,

702
00:40:19,960 --> 00:40:22,799
Speaker 1: and they've subsequently put them to the back of a line.

703
00:40:22,920 --> 00:40:25,520
Speaker 1: And it's not all the kids there. There are some

704
00:40:25,600 --> 00:40:29,760
Speaker 1: kids that still our priorities for deportation. But that small,

705
00:40:29,880 --> 00:40:34,960
Speaker 1: simple act of kindness is more than what we saw

706
00:40:35,000 --> 00:40:36,759
Speaker 1: out of President Obama in his first two years. You're

707
00:40:36,800 --> 00:40:38,319
Speaker 1: gonna have to unpack this a little for me, Matt,

708
00:40:38,400 --> 00:40:44,120
Speaker 1: because these the Obama administration, especially at the stage that

709
00:40:44,160 --> 00:40:48,239
Speaker 1: you're talking about of Obama's presidency, wanting to deport kids,

710
00:40:48,239 --> 00:40:52,080
Speaker 1: wanting to fast track their deportations. That seems contra so

711
00:40:52,160 --> 00:40:57,000
Speaker 1: much of the of his administration's stated goals and why

712
00:40:57,000 --> 00:41:03,640
Speaker 1: would they do that. Well, Uh, that's an interesting question. Um,

713
00:41:04,960 --> 00:41:08,000
Speaker 1: And the answer really is probably. It relates to the

714
00:41:08,040 --> 00:41:10,200
Speaker 1: fact that Hillary Clinton, when she was running for president,

715
00:41:10,280 --> 00:41:12,560
Speaker 1: said that you need to send these kids back to

716
00:41:12,600 --> 00:41:15,240
Speaker 1: send a message that just because your child gets across

717
00:41:15,239 --> 00:41:17,840
Speaker 1: the border doesn't mean that your child gets to stay.

718
00:41:17,880 --> 00:41:21,120
Speaker 1: That that was what she said. Uh, and I'm guessing

719
00:41:21,160 --> 00:41:23,839
Speaker 1: she was acting in coordination with the Obama administration when

720
00:41:23,880 --> 00:41:26,520
Speaker 1: she said that, and they decided to take a hard

721
00:41:26,600 --> 00:41:29,400
Speaker 1: line stand. And the irony is, these kids are refugees

722
00:41:29,400 --> 00:41:33,120
Speaker 1: that are fleeing unspeakable conditions in their native countries that

723
00:41:33,120 --> 00:41:36,200
Speaker 1: were created as a result of the Obama and Department

724
00:41:36,200 --> 00:41:39,160
Speaker 1: of State that Hillary Clinton was in charge of. Uh

725
00:41:39,200 --> 00:41:42,400
Speaker 1: So these were refugees. And we all know how President

726
00:41:42,440 --> 00:41:48,520
Speaker 1: Trump is being billed as as anti refugees. Well, this

727
00:41:48,600 --> 00:41:51,040
Speaker 1: part of the of the issue wasn't even the whole story.

728
00:41:51,120 --> 00:41:53,560
Speaker 1: And I'll let you ask some questions before I I

729
00:41:53,800 --> 00:41:56,600
Speaker 1: segue if you want me to. Yeah, well, I mean

730
00:41:56,719 --> 00:41:58,239
Speaker 1: I got I've got a lot of questions. First of all,

731
00:41:58,239 --> 00:42:00,600
Speaker 1: I mean, you handle immigration case is a lot in

732
00:42:00,600 --> 00:42:04,440
Speaker 1: your practice, right, it's the exclusive area of my prodect. Okay,

733
00:42:04,440 --> 00:42:10,919
Speaker 1: So right, now, the Trump administration has has come under

734
00:42:10,920 --> 00:42:15,840
Speaker 1: a lot of criticism for increasing I don't know, increasing

735
00:42:15,880 --> 00:42:19,000
Speaker 1: the pressure. People are scared. There's all the every day

736
00:42:18,960 --> 00:42:20,920
Speaker 1: in the Washing Post, New York Times, l A Times,

737
00:42:21,200 --> 00:42:23,680
Speaker 1: illegal immigrants are scared. They're they're all scared of what's

738
00:42:23,680 --> 00:42:26,920
Speaker 1: going to happen. Is something different happening now? Or is

739
00:42:26,960 --> 00:42:29,080
Speaker 1: this just a perception because of who Trump is? Because

740
00:42:29,160 --> 00:42:31,719
Speaker 1: I've had people on the show who are also immigration

741
00:42:31,760 --> 00:42:35,040
Speaker 1: experts and they say, so far, he's just been prioritizing

742
00:42:35,040 --> 00:42:38,800
Speaker 1: and deportation of criminals, not just people who are here illegally,

743
00:42:38,840 --> 00:42:40,520
Speaker 1: people who have actually broken the law in addition to

744
00:42:40,560 --> 00:42:43,239
Speaker 1: their illegal status. Is that not the case, That's what

745
00:42:43,280 --> 00:42:45,160
Speaker 1: he says he's doing. We obviously haven't been able to

746
00:42:45,239 --> 00:42:48,799
Speaker 1: untack all of the statistics yet, so we don't know

747
00:42:48,880 --> 00:42:52,920
Speaker 1: exactly who has been picked up. But um he President

748
00:42:52,920 --> 00:42:55,040
Speaker 1: Trump has indicated, which was the exact same thing that

749
00:42:55,080 --> 00:42:58,160
Speaker 1: President Obama said, that he was focusing, as you pointed out,

750
00:42:58,239 --> 00:43:02,279
Speaker 1: his his deportation mechanism on getting serious criminals out of

751
00:43:02,280 --> 00:43:06,280
Speaker 1: the United States. And the irony is that, um, I

752
00:43:06,360 --> 00:43:10,480
Speaker 1: have a higher tendency to potentially believe President Trump because

753
00:43:11,160 --> 00:43:14,560
Speaker 1: with regards to what his intentions are, because for eight

754
00:43:14,840 --> 00:43:17,040
Speaker 1: the last eight years of President Obama, he said that

755
00:43:17,080 --> 00:43:20,000
Speaker 1: he was focused on deporting people that were a threat

756
00:43:20,040 --> 00:43:24,760
Speaker 1: to national security and or individuals with particularly serious crimes.

757
00:43:24,760 --> 00:43:28,239
Speaker 1: But when and we have unpacked those statistics, and a

758
00:43:28,320 --> 00:43:33,240
Speaker 1: very small, relatively small percentage of his deportation were anyone

759
00:43:33,280 --> 00:43:35,920
Speaker 1: that was a national security threat or someone that had

760
00:43:35,960 --> 00:43:39,799
Speaker 1: a particularly serious crime. Most of the individuals had um

761
00:43:40,000 --> 00:43:43,840
Speaker 1: either minor low level offenses which would include traffic tickets

762
00:43:44,320 --> 00:43:47,759
Speaker 1: or UH convictions that they received as a result of

763
00:43:48,320 --> 00:43:51,480
Speaker 1: President Obama using his Department of Justice to ramp up

764
00:43:51,520 --> 00:43:55,840
Speaker 1: deport excuse me, to ramp up criminal prosecution of immigration

765
00:43:55,880 --> 00:43:59,560
Speaker 1: law of violators. And now in his last year, fifty

766
00:43:59,560 --> 00:44:01,719
Speaker 1: two per scent of all of the U. S. Attorney's

767
00:44:01,719 --> 00:44:08,560
Speaker 1: offices nationwide, their case load are immigration crimes that they're prosecuting,

768
00:44:08,719 --> 00:44:12,160
Speaker 1: not drug crimes. Not you know, he's he's obsessed with

769
00:44:12,160 --> 00:44:15,279
Speaker 1: getting drugs, achieved drugs and excuse me, a gun's off

770
00:44:15,320 --> 00:44:19,239
Speaker 1: the street. He's not prosecuting those people. He's prosecuting immigrants

771
00:44:19,320 --> 00:44:23,080
Speaker 1: in order to mint UH new criminal aliens that he

772
00:44:23,080 --> 00:44:25,080
Speaker 1: can use to pad that he used to pad his

773
00:44:25,680 --> 00:44:30,239
Speaker 1: deportation statistics, because I mean, I work with immigrants and wait,

774
00:44:30,440 --> 00:44:33,640
Speaker 1: oh wait, Obama was doing this. Oh yeah, if you

775
00:44:33,640 --> 00:44:36,360
Speaker 1: look at the statistics of all of his federal criminal

776
00:44:36,360 --> 00:44:44,200
Speaker 1: prosecutions nationwide immigration crimes. Really, I have to check this out.

777
00:44:44,239 --> 00:44:47,480
Speaker 1: I mean, my my understanding under the Obama administration was

778
00:44:47,560 --> 00:44:49,960
Speaker 1: that in order to seem like they were much stronger

779
00:44:50,040 --> 00:44:53,759
Speaker 1: on the border security and cracking down on a legal immigration,

780
00:44:54,120 --> 00:44:56,560
Speaker 1: they change the definition of what it meant to be

781
00:44:56,640 --> 00:44:59,880
Speaker 1: deported to anybody caught at the border and turned back,

782
00:45:00,440 --> 00:45:02,239
Speaker 1: so that they would look like they were deporting many

783
00:45:02,239 --> 00:45:04,080
Speaker 1: more people. Are you telling me that's not true, because

784
00:45:04,080 --> 00:45:07,320
Speaker 1: that's been out there for Yeah. There's there's a distinction

785
00:45:07,320 --> 00:45:10,000
Speaker 1: of a return and a removal. A return is when

786
00:45:10,040 --> 00:45:13,279
Speaker 1: someone isn't formally ordered removed in the return to their

787
00:45:13,320 --> 00:45:15,439
Speaker 1: native country, they're caught trying to come into the United

788
00:45:15,440 --> 00:45:18,160
Speaker 1: States and they're just returned, whereas a removal is where

789
00:45:18,160 --> 00:45:21,359
Speaker 1: there's an actual order from either an immigration judge or

790
00:45:21,400 --> 00:45:25,320
Speaker 1: a summary expedited removal order that would be issued by UH.

791
00:45:25,800 --> 00:45:28,640
Speaker 1: But did the Obama administration start counting both of those

792
00:45:28,680 --> 00:45:31,160
Speaker 1: as just a general deportation for the purposes of telling

793
00:45:31,200 --> 00:45:33,839
Speaker 1: the public. We're deporting a lot of people. They're they're

794
00:45:33,880 --> 00:45:37,360
Speaker 1: they're characterized with two separate statistics. Those are separate. So

795
00:45:37,400 --> 00:45:39,440
Speaker 1: this notion that they changed the definition of what it

796
00:45:39,440 --> 00:45:41,040
Speaker 1: means to be caught of the border as a deep order,

797
00:45:41,120 --> 00:45:43,319
Speaker 1: you're saying that's not true, because that's been out there

798
00:45:43,440 --> 00:45:45,520
Speaker 1: recovered a lot by a lot of different news organizations,

799
00:45:45,560 --> 00:45:48,400
Speaker 1: saying Obama changed the definition to make it seem like

800
00:45:48,400 --> 00:45:50,319
Speaker 1: he's tough. Because what you're what it sounds like you're

801
00:45:50,360 --> 00:45:53,600
Speaker 1: telling me is that Obama was actually really tough on

802
00:45:53,800 --> 00:45:56,399
Speaker 1: the illegal immigrant community, which would be news, I think,

803
00:45:56,400 --> 00:45:58,400
Speaker 1: not just the Republicans, but do a lot of Democrats.

804
00:45:59,160 --> 00:46:01,600
Speaker 1: Oh well, that's the reason why it's news is because

805
00:46:01,600 --> 00:46:04,799
Speaker 1: it's not covered because and this is what I had

806
00:46:04,960 --> 00:46:09,040
Speaker 1: said this morning on Fox and Friends, is that the

807
00:46:10,280 --> 00:46:15,839
Speaker 1: traditional media sources, Um, well, they don't really have as

808
00:46:15,960 --> 00:46:19,279
Speaker 1: much concern when a Democrat is deporting immigrants, but the

809
00:46:19,360 --> 00:46:22,120
Speaker 1: second Republican is in office, they run into the street

810
00:46:22,200 --> 00:46:24,040
Speaker 1: hyper vento, landing with their hair on fire. But what

811
00:46:24,080 --> 00:46:27,880
Speaker 1: about Obama did the executive orders to give legal status

812
00:46:27,920 --> 00:46:29,440
Speaker 1: to I think it would have been on as high

813
00:46:29,440 --> 00:46:31,560
Speaker 1: as five million people if he had gotten all of

814
00:46:31,600 --> 00:46:35,400
Speaker 1: them covered with his uh DACCA deferred action for childhood

815
00:46:35,480 --> 00:46:38,879
Speaker 1: arrivals and then deferred actions for the parents right of

816
00:46:38,880 --> 00:46:41,279
Speaker 1: of of of child arrivals as well. That would have

817
00:46:41,280 --> 00:46:43,680
Speaker 1: been a five million people that he would confer at

818
00:46:43,719 --> 00:46:46,799
Speaker 1: least a temporary legal status too. So isn't that in

819
00:46:47,160 --> 00:46:49,600
Speaker 1: huge contradiction to what you're telling me, which is that

820
00:46:49,640 --> 00:46:51,440
Speaker 1: he was deporting people left and right. It was actually

821
00:46:51,440 --> 00:46:53,239
Speaker 1: really harsh and legal limitates. I just have a hard

822
00:46:53,239 --> 00:46:56,600
Speaker 1: time reconciling these two ideas. Yeah, well, it's it's it's

823
00:46:56,640 --> 00:46:59,600
Speaker 1: hard to unpack. Um. Okay, First of all, it wasn't

824
00:46:59,680 --> 00:47:03,640
Speaker 1: an an executive order. President Trump signed in an executive order,

825
00:47:03,640 --> 00:47:05,560
Speaker 1: it actually had his signature at the bottom of the

826
00:47:05,640 --> 00:47:09,520
Speaker 1: of the page. President Obama did executive actions which were

827
00:47:09,680 --> 00:47:14,560
Speaker 1: non binding policy memorandums that were generally signed by UM

828
00:47:14,719 --> 00:47:17,839
Speaker 1: either J. Johnson signed them. There was two of them

829
00:47:17,840 --> 00:47:22,160
Speaker 1: that were signed UH, and one of them was enjoined

830
00:47:22,400 --> 00:47:26,000
Speaker 1: UH as a result of the Texas lawsuit, and that

831
00:47:26,080 --> 00:47:28,000
Speaker 1: was the expansion of different But these are at the

832
00:47:28,000 --> 00:47:31,160
Speaker 1: direction of the Obama administration. I mean, President Obama has says,

833
00:47:31,200 --> 00:47:34,120
Speaker 1: go do this. J. Johnson signs. Fair enough, but go ahead. Yes,

834
00:47:34,280 --> 00:47:37,440
Speaker 1: but in any event, yes it did temporarily, it didn't

835
00:47:37,440 --> 00:47:40,960
Speaker 1: confer any type of permanent lawful status to those individuals. Basically,

836
00:47:40,960 --> 00:47:43,560
Speaker 1: what it did was, uh, well, what it was proposed

837
00:47:43,560 --> 00:47:47,480
Speaker 1: to do was to give them, Um it was a

838
00:47:47,480 --> 00:47:49,680
Speaker 1: favorable exercise of prosecutor. But they would they would have

839
00:47:49,719 --> 00:47:50,960
Speaker 1: what they would have had, Yeah, they would have been

840
00:47:50,960 --> 00:47:52,680
Speaker 1: low in the prosecution list, so that there it would

841
00:47:52,680 --> 00:47:54,359
Speaker 1: have been very unlikely they would get deported. And also

842
00:47:54,400 --> 00:47:56,120
Speaker 1: they could have gotten working papers, right so they could

843
00:47:56,160 --> 00:47:58,640
Speaker 1: work legally and stay and they wouldn't get deported, and

844
00:47:58,680 --> 00:48:00,359
Speaker 1: the idea of being and of course event say they're

845
00:48:00,360 --> 00:48:02,319
Speaker 1: going to get some sort of permanent legal status, but

846
00:48:02,400 --> 00:48:05,239
Speaker 1: that's beyond the purposes of our discussion right now. So

847
00:48:05,280 --> 00:48:08,920
Speaker 1: Obama does that, which is clearly very pro illegal immigrant,

848
00:48:09,160 --> 00:48:11,680
Speaker 1: why would he also at the same time be so

849
00:48:11,760 --> 00:48:14,239
Speaker 1: harsh on legal immigrants in these other areas you're talking

850
00:48:14,280 --> 00:48:17,480
Speaker 1: to me about. I just I don't understand that. Okay, Well,

851
00:48:17,600 --> 00:48:21,520
Speaker 1: this is another layer, um, one of the things that

852
00:48:21,719 --> 00:48:25,239
Speaker 1: um that is actually I think Betsy Woodruff just wrote

853
00:48:25,239 --> 00:48:28,759
Speaker 1: about it in The Daily Beast. The private prison industry

854
00:48:29,000 --> 00:48:34,040
Speaker 1: has been funding Democrats for years and has benefited from

855
00:48:34,080 --> 00:48:37,520
Speaker 1: the policies and the law that's been created by Democrats.

856
00:48:37,560 --> 00:48:39,440
Speaker 1: And a lot of these individuals that are taken in

857
00:48:39,480 --> 00:48:43,319
Speaker 1: immigration custody are held in for profit private prisons. And

858
00:48:43,520 --> 00:48:46,440
Speaker 1: the only person that was running for president that uh,

859
00:48:46,560 --> 00:48:50,400
Speaker 1: Hiller quint had the second most donations from private prison industry.

860
00:48:50,560 --> 00:48:54,799
Speaker 1: Other than h I think Marco Rubio had more. So, Uh,

861
00:48:54,840 --> 00:48:57,480
Speaker 1: there's a lot of money being made for jailing immigrants

862
00:48:57,480 --> 00:48:59,839
Speaker 1: in private jails, and that's part of the reason why

863
00:49:00,080 --> 00:49:04,200
Speaker 1: is happening. But still the Democratic Party, it's all. I mean,

864
00:49:04,200 --> 00:49:06,600
Speaker 1: you got Hillary on her campaign website saying she wants

865
00:49:06,600 --> 00:49:09,560
Speaker 1: the legal immigrant to get Obamacare. I mean, if you

866
00:49:09,640 --> 00:49:12,480
Speaker 1: heard the rhetoric between Hillary and Bernie Sanders in their

867
00:49:12,520 --> 00:49:15,600
Speaker 1: debate during the primary, they both sounded like more or

868
00:49:15,680 --> 00:49:20,160
Speaker 1: less open borders candidate, so orban order. I'm sorry you

869
00:49:20,400 --> 00:49:22,279
Speaker 1: think you would think so that's what they were saying. No,

870
00:49:22,320 --> 00:49:23,839
Speaker 1: I don't think that's what they were saying. I watched

871
00:49:23,880 --> 00:49:25,960
Speaker 1: the debate, so it's very strange to me that you're

872
00:49:26,000 --> 00:49:29,080
Speaker 1: telling me that Obama was. I mean, i'd heard about

873
00:49:29,080 --> 00:49:33,239
Speaker 1: this deporter in chief and the the general consensus among

874
00:49:33,280 --> 00:49:34,839
Speaker 1: at least people I know on the right was Look,

875
00:49:34,880 --> 00:49:37,560
Speaker 1: he changed the definitions. He ramped up deportations for a

876
00:49:37,600 --> 00:49:39,920
Speaker 1: little while. They also fudge the numbers a little bit,

877
00:49:39,960 --> 00:49:41,799
Speaker 1: which maybe that's true or not true. You're telling me

878
00:49:41,800 --> 00:49:44,400
Speaker 1: it's not true. But it was also they could get

879
00:49:44,520 --> 00:49:47,359
Speaker 1: comprehensive immigration reform through and to do that, to get

880
00:49:47,400 --> 00:49:49,319
Speaker 1: the political capital to do that, he would need to

881
00:49:49,320 --> 00:49:51,160
Speaker 1: seem tough on the border and seem like the border

882
00:49:51,200 --> 00:49:53,279
Speaker 1: would secure. But you're saying that's not true. In the

883
00:49:53,360 --> 00:49:56,080
Speaker 1: very end of the Obama presidency, he was deporting people

884
00:49:56,120 --> 00:49:58,319
Speaker 1: left and right. Is that is that all correct? The

885
00:49:58,440 --> 00:50:01,480
Speaker 1: last the last year, his last year in office, really

886
00:50:01,480 --> 00:50:04,399
Speaker 1: the last two years of office in office, that's when

887
00:50:04,600 --> 00:50:08,480
Speaker 1: things were were tamper tampered down. But for the first

888
00:50:08,520 --> 00:50:11,000
Speaker 1: six years it was full steam steam ahead. There was

889
00:50:11,040 --> 00:50:14,759
Speaker 1: definitely a marked change after the Republicans took over the

890
00:50:14,800 --> 00:50:17,560
Speaker 1: Senate and he realized that, okay, so that is just something.

891
00:50:17,560 --> 00:50:19,840
Speaker 1: Comprehensive immigration reform is dead, and all of a sudden,

892
00:50:19,880 --> 00:50:21,680
Speaker 1: Obama is like, well, I'm not reporting people, So that

893
00:50:21,760 --> 00:50:24,320
Speaker 1: is that is true? That is what happened. Yeah, yes, definitely,

894
00:50:24,280 --> 00:50:26,600
Speaker 1: And when I said that, you would think so I

895
00:50:26,640 --> 00:50:29,080
Speaker 1: wasn't contradicting what you were saying. I was saying that

896
00:50:29,360 --> 00:50:33,200
Speaker 1: their rhetoric doesn't match their actions. I wasn't. No, I understand,

897
00:50:33,200 --> 00:50:35,560
Speaker 1: but I just want to be clear. So, the the

898
00:50:35,560 --> 00:50:38,279
Speaker 1: the surgeon, deportations, all the stuff that Obama was doing

899
00:50:38,560 --> 00:50:40,160
Speaker 1: before it was clear that he wasn't gonna get a

900
00:50:40,160 --> 00:50:44,000
Speaker 1: comprehensive immigration reform bill, that was to create the political

901
00:50:44,080 --> 00:50:47,040
Speaker 1: leeway to get amnesty. Really that that is true. And

902
00:50:47,080 --> 00:50:48,720
Speaker 1: then once that was gone, then all of a sudden

903
00:50:48,760 --> 00:50:51,839
Speaker 1: we saw the Obama administration's real position on this, which

904
00:50:51,880 --> 00:50:55,240
Speaker 1: is a much more laxed policy when it comes to deportations. Well,

905
00:50:55,280 --> 00:50:57,279
Speaker 1: if you, if you really go all the way to

906
00:50:57,320 --> 00:51:00,239
Speaker 1: the beginning, though, it is the second that in an

907
00:51:00,239 --> 00:51:03,760
Speaker 1: Obama named Ram Emmanuel as his chief of staff, that

908
00:51:03,760 --> 00:51:06,160
Speaker 1: that spelled the end for immigration reform, if you will

909
00:51:06,200 --> 00:51:10,279
Speaker 1: call President Obama campaign on moving on immigration reform, if

910
00:51:10,280 --> 00:51:12,719
Speaker 1: not in his first hundred days, within his first year

911
00:51:12,760 --> 00:51:16,000
Speaker 1: in office. And then Rob Emanuel said, over my dead body,

912
00:51:16,239 --> 00:51:19,879
Speaker 1: will immigration reform happened in my first term? All right, Well,

913
00:51:19,880 --> 00:51:21,640
Speaker 1: this has been very interesting. I'm gonna I'm gonna dive

914
00:51:21,640 --> 00:51:24,359
Speaker 1: into some more. Matthew Culkin is a prominent immigration lawyer

915
00:51:24,360 --> 00:51:27,160
Speaker 1: and partner at Culkin and Culkin. Matthew, appreciate you coming

916
00:51:27,160 --> 00:51:30,080
Speaker 1: on the show. Thank you have a nice weekend. Eight

917
00:51:30,080 --> 00:51:32,839
Speaker 1: four four nine to eight to five, eight four four

918
00:51:32,920 --> 00:51:38,759
Speaker 1: nine hundred Buck Team, We'll be right back. Interesting exchange

919
00:51:38,800 --> 00:51:41,600
Speaker 1: with our guests there on immigration. Buck Sexton back with

920
00:51:41,640 --> 00:51:44,480
Speaker 1: you all. Now. I'm gonna have to dive into some

921
00:51:44,640 --> 00:51:46,960
Speaker 1: of some of the things that he was saying there.

922
00:51:47,239 --> 00:51:49,719
Speaker 1: I'm not an immigration lawyer, So if he says he's

923
00:51:49,760 --> 00:51:52,600
Speaker 1: defending that three year olds have to defend themselves in court,

924
00:51:52,760 --> 00:51:55,719
Speaker 1: I've never seen any reporting on that. Again, I need

925
00:51:55,760 --> 00:51:58,759
Speaker 1: to look into this. Find that tough to believe. I

926
00:51:58,800 --> 00:52:00,640
Speaker 1: feel like Scott and Florida is gonna tell me the

927
00:52:00,640 --> 00:52:03,080
Speaker 1: same thing here, Scott, you're on the Buck Section show.

928
00:52:03,080 --> 00:52:08,560
Speaker 1: Welcome make I appreciate it. Man. That's ridiculous. That's not

929
00:52:08,640 --> 00:52:12,600
Speaker 1: even believable. Uh. They have much more serious issues and

930
00:52:12,719 --> 00:52:15,880
Speaker 1: that to deal with, and they should deal with him.

931
00:52:15,960 --> 00:52:18,600
Speaker 1: And I was calling him about immigration before and I

932
00:52:18,719 --> 00:52:22,600
Speaker 1: will see us start. Um. They deplete and destroy everything

933
00:52:22,600 --> 00:52:26,239
Speaker 1: they come in contact with. And you know you're talking

934
00:52:26,239 --> 00:52:34,280
Speaker 1: about a legal immigration right, a legal immigration undotcommitted. Yeah, man,

935
00:52:34,400 --> 00:52:37,920
Speaker 1: where did you get him? He was on Fox this morning.

936
00:52:37,960 --> 00:52:39,799
Speaker 1: We thought it would be interesting to have him on

937
00:52:39,920 --> 00:52:43,920
Speaker 1: and have a chat. Uh, I gotta check into some

938
00:52:43,960 --> 00:52:45,480
Speaker 1: of the stuff he's saying though. I just there's no

939
00:52:45,560 --> 00:52:47,360
Speaker 1: way that a y a three year old that's to

940
00:52:47,400 --> 00:52:51,920
Speaker 1: defend himself in court, and that's even with an assigned counsel. Uh,

941
00:52:52,120 --> 00:52:54,640
Speaker 1: there's just no way. And also this this idea that Obama,

942
00:52:55,120 --> 00:52:56,720
Speaker 1: it sounded to me like he was telling me Obama

943
00:52:56,760 --> 00:52:59,359
Speaker 1: was really tough on legal immigration. And then I got

944
00:52:59,400 --> 00:53:00,759
Speaker 1: him do it. We got I'm gonna tell me that

945
00:53:00,880 --> 00:53:04,080
Speaker 1: the last two years. Yeah, it was all Look, it

946
00:53:04,160 --> 00:53:06,359
Speaker 1: was pretty clear, and he did concede this. So we'll

947
00:53:06,400 --> 00:53:10,200
Speaker 1: say this that Obama was trying to create the perception

948
00:53:10,280 --> 00:53:13,040
Speaker 1: of being strong on the border and tough un immigration

949
00:53:13,320 --> 00:53:17,919
Speaker 1: because it was a bipartisan issue until in the sense

950
00:53:17,960 --> 00:53:19,680
Speaker 1: that the Democrats were at least giving lip service to

951
00:53:19,719 --> 00:53:21,799
Speaker 1: what they were pretending they talked about it. They'd say, yeah,

952
00:53:21,840 --> 00:53:26,120
Speaker 1: we need to secure border. Sure. But then after it

953
00:53:26,160 --> 00:53:27,759
Speaker 1: was clear that the Gang of Eight bill in the

954
00:53:27,760 --> 00:53:30,879
Speaker 1: Senate wasn't going to happen, Marco Rubio paid a price

955
00:53:30,920 --> 00:53:32,800
Speaker 1: for that one, I think as well. In the primary,

956
00:53:32,840 --> 00:53:35,600
Speaker 1: even though he changed his tune afterwards once it was

957
00:53:35,600 --> 00:53:38,040
Speaker 1: clear they weren't going to get amnesty, which was the

958
00:53:38,080 --> 00:53:42,120
Speaker 1: only guaranteed thing in that Gang of eight Bill Scott.

959
00:53:42,880 --> 00:53:44,839
Speaker 1: Then all of a sudden, we saw an administration that's

960
00:53:44,840 --> 00:53:48,320
Speaker 1: signing executive actions, non executive orders to keep five million

961
00:53:48,360 --> 00:53:51,960
Speaker 1: people here illegally and and give them working papers. And

962
00:53:52,040 --> 00:53:55,279
Speaker 1: you know, there's we saw what they were really all

963
00:53:55,320 --> 00:53:58,920
Speaker 1: about in terms of administration. So it wasn't really that surprising.

964
00:53:59,080 --> 00:54:02,600
Speaker 1: And I'm a little his whole point about how Trump

965
00:54:02,680 --> 00:54:05,040
Speaker 1: is better because he's okay, maybe Trump is better, and

966
00:54:05,080 --> 00:54:09,680
Speaker 1: that he's prioritizing criminals to deport, but Obama was trying

967
00:54:09,680 --> 00:54:11,839
Speaker 1: to keep millions of people here are here illegally, so

968
00:54:12,480 --> 00:54:14,680
Speaker 1: there's there was a disconnect there. I might even go

969
00:54:14,680 --> 00:54:16,560
Speaker 1: back and listen to that interview again and chase down,

970
00:54:17,080 --> 00:54:19,680
Speaker 1: uh some of what he had to say. All I

971
00:54:19,680 --> 00:54:22,560
Speaker 1: would say is dis ingenuous to think that they will

972
00:54:22,600 --> 00:54:26,120
Speaker 1: break down to steal two and three year old babies.

973
00:54:27,560 --> 00:54:30,200
Speaker 1: That's all. Yeah, there's there's no way. I mean, look

974
00:54:30,239 --> 00:54:32,200
Speaker 1: when they say deporting a three year old, clearly you're

975
00:54:32,200 --> 00:54:34,240
Speaker 1: returning a three year old to his or her family

976
00:54:35,080 --> 00:54:38,799
Speaker 1: and I suppose let's let's also talk about this. So

977
00:54:38,840 --> 00:54:40,640
Speaker 1: are we to believe at a three a three year

978
00:54:40,640 --> 00:54:44,359
Speaker 1: old is crossing the border? What without an adult? There's

979
00:54:44,400 --> 00:54:48,160
Speaker 1: no way. Obviously that's not possible. So there must be

980
00:54:48,160 --> 00:54:50,960
Speaker 1: an adult involved. I anyway, I gotta I gotta look

981
00:54:51,000 --> 00:54:52,600
Speaker 1: into that a little bit. That was I mean, his

982
00:54:54,040 --> 00:54:57,120
Speaker 1: you know, guy's a lawyer. I figure he's got he's

983
00:54:57,160 --> 00:54:59,080
Speaker 1: an immigration lawyer. I figure he's got to know something

984
00:54:59,120 --> 00:55:03,800
Speaker 1: about immigration law. So you know that, I feel like

985
00:55:03,840 --> 00:55:05,440
Speaker 1: I would do a pretty I've watched enough law in

986
00:55:05,560 --> 00:55:07,000
Speaker 1: order that I think I do a pretty good job

987
00:55:07,040 --> 00:55:11,600
Speaker 1: defending somebody if I really had to. Yeah, it's got

988
00:55:12,040 --> 00:55:14,040
Speaker 1: stills and have a good weekend. Thank you, Thank you

989
00:55:14,080 --> 00:55:16,719
Speaker 1: for calling in. All Right, someone's gonna have to tell

990
00:55:16,760 --> 00:55:20,520
Speaker 1: me what John McCain is doing. What What is John

991
00:55:20,600 --> 00:55:24,880
Speaker 1: McCain doing? Washington Post, you're reporting that you just quote

992
00:55:25,239 --> 00:55:31,560
Speaker 1: systematically dismantled Donald Trump's entire world view. Uh. He was

993
00:55:31,600 --> 00:55:36,080
Speaker 1: speaking at the Munich Security Conference in Germany, and the

994
00:55:36,120 --> 00:55:41,240
Speaker 1: Republican senator from Arizona delivered a pointed and striking, point

995
00:55:41,280 --> 00:55:44,800
Speaker 1: by point takedown of Trump's worldview and brand of nationalism.

996
00:55:44,880 --> 00:55:48,920
Speaker 1: But McCain didn't mention Trump's name once. Let me know

997
00:55:48,960 --> 00:55:50,080
Speaker 1: if we get some audio I want to get I

998
00:55:50,080 --> 00:55:52,480
Speaker 1: want to play some audio list. Uh. In his speech,

999
00:55:52,560 --> 00:55:57,000
Speaker 1: McCain suggested the Western world is uniquely imperiled this year,

1000
00:55:57,600 --> 00:56:00,960
Speaker 1: even more so than when Barack Obama was president, and

1001
00:56:01,000 --> 00:56:03,360
Speaker 1: proceeded to question whether it will even survive. This is

1002
00:56:03,360 --> 00:56:08,320
Speaker 1: often the Washing Post piece. Yeah, he said, the founders

1003
00:56:08,360 --> 00:56:10,880
Speaker 1: of the Munich Conference would be alarmed by an increasing

1004
00:56:10,920 --> 00:56:15,200
Speaker 1: turn away from universal values and toward old blood ties

1005
00:56:15,280 --> 00:56:18,399
Speaker 1: of uh oh, sorry, old ties of blood and race

1006
00:56:18,480 --> 00:56:23,000
Speaker 1: and sectarianism. They would be alarmed by the hardening resentment

1007
00:56:23,000 --> 00:56:27,160
Speaker 1: we see towards immigrants and refugees and minority groups, especially Muslims.

1008
00:56:28,080 --> 00:56:30,479
Speaker 1: They would be alarmed by the growing inability and even

1009
00:56:30,560 --> 00:56:34,400
Speaker 1: unwillingness to separate truth from lies. They will be alarmed

1010
00:56:34,400 --> 00:56:36,080
Speaker 1: that more and more of our fellow citizens seemed to

1011
00:56:36,080 --> 00:56:39,759
Speaker 1: be flirting with authoritarianism and romanticizing it as our moral equivalent.

1012
00:56:40,760 --> 00:56:43,560
Speaker 1: I mean, we gotta get John McCain a TV show

1013
00:56:43,560 --> 00:56:47,239
Speaker 1: on MSNBC. Is there an opening we might want to

1014
00:56:47,239 --> 00:56:51,480
Speaker 1: hook him up. You can stop this whole Senate situation

1015
00:56:51,680 --> 00:56:54,480
Speaker 1: and really just do what I think he'd rather do anyway,

1016
00:56:54,640 --> 00:56:57,520
Speaker 1: which is beyond TV. There are there's a whole group

1017
00:56:58,320 --> 00:57:00,880
Speaker 1: of elected officials that in the House and the Senate

1018
00:57:00,920 --> 00:57:03,239
Speaker 1: that you really get the sense that, you know, if

1019
00:57:03,280 --> 00:57:05,800
Speaker 1: if they could get a cot in the corner at CNN,

1020
00:57:06,040 --> 00:57:07,680
Speaker 1: they would take it, you know, they just they would

1021
00:57:07,680 --> 00:57:10,839
Speaker 1: They would live there if they could. Uh. But what

1022
00:57:11,040 --> 00:57:15,960
Speaker 1: is McCain doing trashing the commander in chief? Anyway? We'll

1023
00:57:15,960 --> 00:57:17,720
Speaker 1: get back to this in a second team. We've got

1024
00:57:17,760 --> 00:57:24,760
Speaker 1: a lot more on this. Stay with me, Buck Sexton,

1025
00:57:24,920 --> 00:57:28,160
Speaker 1: with America now where there's always something to talk about

1026
00:57:28,280 --> 00:57:30,680
Speaker 1: where you can trade opinion with Buck. I'm not sure

1027
00:57:30,720 --> 00:57:34,280
Speaker 1: you'll win, though. Just call eight four four nine hundred Buck.

1028
00:57:34,560 --> 00:57:39,880
Speaker 1: That's eight four four d to eight to five. Alright, Buck,

1029
00:57:39,920 --> 00:57:44,240
Speaker 1: you're on. I'm gonna tell you. I read these remarks

1030
00:57:44,280 --> 00:57:46,720
Speaker 1: from John McCain in the break because I had seen

1031
00:57:46,840 --> 00:57:49,560
Speaker 1: the coverage of it in the Washington Post. I thought

1032
00:57:49,560 --> 00:57:53,480
Speaker 1: to myself, all right, look, John McCain, maybe maybe they're

1033
00:57:53,520 --> 00:57:56,200
Speaker 1: picking out some stuff here to make it seem like

1034
00:57:56,320 --> 00:57:58,200
Speaker 1: he was saying things that he didn't say. They want

1035
00:57:58,240 --> 00:58:03,960
Speaker 1: to just cause strife and uh, dissension among the ranks

1036
00:58:03,960 --> 00:58:08,320
Speaker 1: for Republicans. No, this is pretty bad. Actually I read it.

1037
00:58:08,600 --> 00:58:14,080
Speaker 1: I I went into this. Uh he remarkably at a

1038
00:58:14,160 --> 00:58:18,400
Speaker 1: time when the West and specific remember he's giving this speech.

1039
00:58:18,560 --> 00:58:22,880
Speaker 1: He gave this speech. Uh, he gave the speech about

1040
00:58:23,120 --> 00:58:27,080
Speaker 1: the West and the threats to the West. And he's

1041
00:58:27,360 --> 00:58:34,400
Speaker 1: uh he's the Munich Security Conference. Um, yeah, during a

1042
00:58:34,400 --> 00:58:36,520
Speaker 1: speech to the Munich Security Conference. And okay, I'll making

1043
00:58:36,840 --> 00:58:40,320
Speaker 1: On John McCain's Senate website, it says Washington, d C.

1044
00:58:40,640 --> 00:58:43,200
Speaker 1: Under the remarks, No, guys, the speech was in Munich.

1045
00:58:43,280 --> 00:58:46,160
Speaker 1: Come on now, so he's at this Munich Security conference

1046
00:58:46,200 --> 00:58:51,760
Speaker 1: in Germany. Uh. And the threat to the West, to

1047
00:58:51,920 --> 00:59:01,280
Speaker 1: our order in the West right now is apparently from

1048
00:59:01,400 --> 00:59:05,480
Speaker 1: Donald Trump. I mean, that's the implication of this entire

1049
00:59:05,680 --> 00:59:08,800
Speaker 1: of this entire speech, he writes. The next panel asked

1050
00:59:08,840 --> 00:59:12,800
Speaker 1: us to consider whether the West will survive. In recent years,

1051
00:59:12,840 --> 00:59:16,880
Speaker 1: this question would invite accusations of hyperbole and alarmism. Not

1052
00:59:17,040 --> 00:59:18,880
Speaker 1: this year. If ever, there were a time to treat

1053
00:59:18,960 --> 00:59:25,360
Speaker 1: this question with a deadly seriousness, it is now. Uh wow,

1054
00:59:26,640 --> 00:59:30,400
Speaker 1: Um it happened. I mean, he he I'm trying to

1055
00:59:30,440 --> 00:59:33,280
Speaker 1: find ways to summarizes that. I having read the whole

1056
00:59:33,280 --> 00:59:38,720
Speaker 1: thing to you. Um, but this is it's clearly it

1057
00:59:38,880 --> 00:59:41,720
Speaker 1: is to me as I read it. He says, I

1058
00:59:41,760 --> 00:59:43,919
Speaker 1: know there's a profound concern across Europe in the world

1059
00:59:43,960 --> 00:59:48,080
Speaker 1: that America is laying down the mantle of global leadership. Um,

1060
00:59:48,320 --> 00:59:50,800
Speaker 1: make no mistake, my friends, either dangerous times, but you

1061
00:59:50,800 --> 00:59:55,320
Speaker 1: should not count America out. What who say is anything

1062
00:59:55,320 --> 01:00:00,080
Speaker 1: about counting America out? He He mentions this fast. He

1063
01:00:00,360 --> 01:00:05,800
Speaker 1: mentions Islam, but only the context of a fear of Muslims,

1064
01:00:05,840 --> 01:00:09,080
Speaker 1: not in a context of the threat to the West

1065
01:00:09,920 --> 01:00:14,240
Speaker 1: from jihadism from Islamism. No mention of that. As far

1066
01:00:14,280 --> 01:00:16,320
Speaker 1: as as I mean, I read this quickly in the break,

1067
01:00:16,360 --> 01:00:19,560
Speaker 1: but I did read the whole thing, and it is

1068
01:00:19,600 --> 01:00:22,000
Speaker 1: he said they would they would be alarmed by the

1069
01:00:22,040 --> 01:00:25,000
Speaker 1: hardening resentment resentment we see towards immigrants and refugees and

1070
01:00:25,040 --> 01:00:29,440
Speaker 1: minority groups, especially Muslims. Maybe John McCain hasn't seen the

1071
01:00:29,480 --> 01:00:33,200
Speaker 1: polling in Europe about how a bunch of European countries

1072
01:00:33,240 --> 01:00:36,640
Speaker 1: now really are rethinking the whole Let's just bring in

1073
01:00:36,680 --> 01:00:39,080
Speaker 1: people from disparate cultures all of the world and huge

1074
01:00:39,160 --> 01:00:42,360
Speaker 1: numbers and hope that they adopt to our ways. But

1075
01:00:42,440 --> 01:00:44,680
Speaker 1: We're not gonna make them, so they can do whatever

1076
01:00:44,720 --> 01:00:50,760
Speaker 1: they want. Wow. Given that the rise uh, this is,

1077
01:00:50,840 --> 01:00:56,720
Speaker 1: this is astonishing, the rise of recent nationalists, sir. The

1078
01:00:56,800 --> 01:01:01,880
Speaker 1: recent nationalists surge that's occurred in Europe is in large

1079
01:01:01,920 --> 01:01:06,880
Speaker 1: part in direct response to Germany taking in a million

1080
01:01:08,280 --> 01:01:12,000
Speaker 1: immigrants from the Middle East or from Muslim majority countries

1081
01:01:12,040 --> 01:01:16,640
Speaker 1: in one year, and then the number of mass casualty

1082
01:01:16,680 --> 01:01:22,320
Speaker 1: attacks that we've seen in France, as well as attempted

1083
01:01:22,800 --> 01:01:28,640
Speaker 1: and realized mass casualty attacks by either Muslim immigrants or

1084
01:01:28,640 --> 01:01:33,560
Speaker 1: the children of Muslim immigrants in Germany. And we see

1085
01:01:33,560 --> 01:01:36,480
Speaker 1: that he's saying that the threat to the Western order

1086
01:01:37,600 --> 01:01:44,160
Speaker 1: is Donald Trump. This is this is amazing. I John McCain,

1087
01:01:44,280 --> 01:01:46,560
Speaker 1: I do not know. I mean that the threat to

1088
01:01:46,560 --> 01:01:49,840
Speaker 1: the Western order comes from the guy, the commander in chief,

1089
01:01:49,880 --> 01:01:53,640
Speaker 1: who has Jim Mattis as a Secretary of Defense, who

1090
01:01:53,680 --> 01:01:57,000
Speaker 1: has Kelly as his Department of Homeland Security chief, who

1091
01:01:57,000 --> 01:01:59,120
Speaker 1: has Jeff Sessions as his attorney general, who has Mike

1092
01:01:59,120 --> 01:02:01,520
Speaker 1: Pence as his vice president. This is the guy who's

1093
01:02:01,560 --> 01:02:05,880
Speaker 1: the threat to the Western order. Look, we can talk

1094
01:02:05,920 --> 01:02:10,040
Speaker 1: about how Trump is not just rough around the edges

1095
01:02:10,120 --> 01:02:16,200
Speaker 1: but can be uh, vulgar. Yeah, you can take that position.

1096
01:02:16,240 --> 01:02:19,640
Speaker 1: Sure that he doesn't do things the way other politicians

1097
01:02:19,680 --> 01:02:21,840
Speaker 1: do them. And I know that for some people that's

1098
01:02:21,840 --> 01:02:23,960
Speaker 1: a good, that's a good in and of itself. For others,

1099
01:02:24,000 --> 01:02:25,880
Speaker 1: it's a departure and they're not used to they don't

1100
01:02:25,920 --> 01:02:28,120
Speaker 1: like it. They think that it's unbecoming of the presidency.

1101
01:02:28,120 --> 01:02:31,479
Speaker 1: I understand all that, but a threat to the Western order.

1102
01:02:32,320 --> 01:02:35,040
Speaker 1: I I want to ask John McCain and maybe we

1103
01:02:35,080 --> 01:02:36,919
Speaker 1: could get him to call into the show. It's worth

1104
01:02:36,920 --> 01:02:41,160
Speaker 1: a try, uh, Producer Amy, Let's let's see. Let's reach

1105
01:02:41,160 --> 01:02:43,200
Speaker 1: out to John McCain's office and see if he'll come on.

1106
01:02:43,320 --> 01:02:45,160
Speaker 1: I'd like to ask him what he what he thinks

1107
01:02:45,200 --> 01:02:49,000
Speaker 1: about all this Russia reporting with regard to Trump, if

1108
01:02:49,040 --> 01:02:50,840
Speaker 1: he thinks Trump is at any Look, he doesn't mention

1109
01:02:50,880 --> 01:02:55,120
Speaker 1: Trump's name, and that maybe the out here. But he's

1110
01:02:55,240 --> 01:02:58,880
Speaker 1: using a lot of talking points you'd see from the

1111
01:02:59,080 --> 01:03:05,600
Speaker 1: Daily Coast or I don't know, the Nation, Slate, Washington Post,

1112
01:03:05,680 --> 01:03:08,440
Speaker 1: New York Times, etcetera, etcetera. A lot of a lot

1113
01:03:08,480 --> 01:03:11,600
Speaker 1: of what you'd hear from them is contained in this speech,

1114
01:03:11,680 --> 01:03:15,400
Speaker 1: this speech that he's giving in a foreign country in

1115
01:03:15,400 --> 01:03:17,520
Speaker 1: which he says that we should be worried about the

1116
01:03:17,520 --> 01:03:20,640
Speaker 1: survival of the West, but then he just talks about

1117
01:03:21,600 --> 01:03:28,400
Speaker 1: problems that are associated with Donald Trump. Authoritarian is flirting

1118
01:03:28,400 --> 01:03:35,240
Speaker 1: with authoritarianism. Amazing to me. Barack Obama approved the wire

1119
01:03:35,280 --> 01:03:39,640
Speaker 1: tapping of journalists. Barack Obama prosecuted more people under the

1120
01:03:39,760 --> 01:03:44,560
Speaker 1: Espionage Act then every single president before him combined. Barack

1121
01:03:44,560 --> 01:03:47,280
Speaker 1: Obama would say that when Congress wouldn't do what he

1122
01:03:47,400 --> 01:03:50,840
Speaker 1: wanted them to do, that he had the authority to

1123
01:03:50,920 --> 01:03:52,480
Speaker 1: just go around them because he had a partner on

1124
01:03:52,520 --> 01:03:55,920
Speaker 1: the phone and he would do it himself. But Donald

1125
01:03:55,960 --> 01:03:59,040
Speaker 1: Trump is the one flirting with authoritarianism, I assume, is

1126
01:03:59,080 --> 01:04:02,400
Speaker 1: what's being said here. I mean, maybe McCain is is

1127
01:04:02,440 --> 01:04:05,680
Speaker 1: trying to leave this vague enough that he's really talking

1128
01:04:05,680 --> 01:04:09,480
Speaker 1: about Putin. That's what he's trying to say. But I

1129
01:04:09,480 --> 01:04:11,240
Speaker 1: would like to ask him, do do you think that

1130
01:04:12,320 --> 01:04:14,440
Speaker 1: the current commander in chief would betray his country for

1131
01:04:14,480 --> 01:04:18,120
Speaker 1: the Russians? Can someone, just can somebody with all this

1132
01:04:18,200 --> 01:04:22,520
Speaker 1: Russia conspiracy thuft is conspiracy stuff, just tell me why

1133
01:04:22,640 --> 01:04:26,280
Speaker 1: Donald Trump would He loves Putin so much, He loves

1134
01:04:26,320 --> 01:04:28,880
Speaker 1: Putin more than his own country than the American people

1135
01:04:29,520 --> 01:04:32,000
Speaker 1: than the futures of his children and his grandchildren. He

1136
01:04:32,240 --> 01:04:35,200
Speaker 1: really loves Russia that much? Did he sell out his

1137
01:04:35,240 --> 01:04:38,200
Speaker 1: country for them? It's not for money. Doesn't need any

1138
01:04:38,240 --> 01:04:40,680
Speaker 1: more money, and Russia is not giving him billions of dollars,

1139
01:04:40,680 --> 01:04:44,560
Speaker 1: So why would he selling his country for Russia? And

1140
01:04:44,800 --> 01:04:47,520
Speaker 1: I know this seems like a simplistic analysis to some. Sorry,

1141
01:04:47,640 --> 01:04:49,000
Speaker 1: buck Well, you've got to get to the bottom of

1142
01:04:49,000 --> 01:04:50,840
Speaker 1: you gotta dig deep. And what about all these connections

1143
01:04:51,000 --> 01:04:53,600
Speaker 1: I've read about all the connections so far. All I've

1144
01:04:53,600 --> 01:04:57,280
Speaker 1: read about her some political consultants that used to work

1145
01:04:57,320 --> 01:05:00,520
Speaker 1: for him that don't work for him anymore. That we're

1146
01:05:00,560 --> 01:05:03,000
Speaker 1: selling themselves to the highest bidder on the international political

1147
01:05:03,040 --> 01:05:06,080
Speaker 1: scene to advise them. I mean, is it something that

1148
01:05:06,120 --> 01:05:07,960
Speaker 1: you'd want to tell your grandkids about it and be

1149
01:05:08,080 --> 01:05:10,600
Speaker 1: super proud. I don't know, but I don't think it's

1150
01:05:10,640 --> 01:05:13,040
Speaker 1: the end of Western civilization. And this is what John

1151
01:05:13,120 --> 01:05:18,360
Speaker 1: McCain is saying, that this Trump crew is so dangerous

1152
01:05:18,440 --> 01:05:22,080
Speaker 1: to the Western order that is giving this this is

1153
01:05:22,120 --> 01:05:24,720
Speaker 1: really damaging. I mean, this plays into all of the

1154
01:05:24,760 --> 01:05:28,960
Speaker 1: worst fears and stereotypes that are constantly being exacerbated in

1155
01:05:29,000 --> 01:05:33,280
Speaker 1: Europe about the current administration in this country, and I

1156
01:05:33,720 --> 01:05:35,640
Speaker 1: just you know, I get a little sick of I

1157
01:05:35,680 --> 01:05:39,840
Speaker 1: know that. You know, John McCain, everybody always has stopped Oh,

1158
01:05:40,040 --> 01:05:42,920
Speaker 1: honorable service. Yeah, we of course honorable service. Right, we

1159
01:05:43,000 --> 01:05:45,479
Speaker 1: all have to always a stop set John McCain service country,

1160
01:05:45,520 --> 01:05:49,720
Speaker 1: honorably pow. I get all of that, But sometimes on policy,

1161
01:05:49,760 --> 01:05:52,320
Speaker 1: I think he stinks. And he's a senator and his

1162
01:05:52,440 --> 01:05:58,120
Speaker 1: job now is being a an advocate for different policies,

1163
01:05:58,240 --> 01:06:01,080
Speaker 1: voting for bills, voting vote things into law. This is

1164
01:06:01,080 --> 01:06:02,520
Speaker 1: what he does. Yeah, he also is a part of

1165
01:06:02,520 --> 01:06:04,520
Speaker 1: the conversation on foreign policy and other things too. But

1166
01:06:05,280 --> 01:06:07,240
Speaker 1: so I'm allowed to really not like what he says

1167
01:06:07,280 --> 01:06:10,720
Speaker 1: and does now, and you are too, And I would

1168
01:06:11,160 --> 01:06:12,720
Speaker 1: ask you if you if you get the chance, go

1169
01:06:12,760 --> 01:06:14,880
Speaker 1: and we have someone, let's play, let's play some of

1170
01:06:14,920 --> 01:06:18,920
Speaker 1: what John McKinnon to say. The Flynn issue, obviously is

1171
01:06:19,040 --> 01:06:25,040
Speaker 1: something that is shows that in many respects, this administration

1172
01:06:25,200 --> 01:06:27,840
Speaker 1: is in disarray and they've got a lot of work

1173
01:06:27,920 --> 01:06:34,440
Speaker 1: to do. The president, I think, makes statements that on

1174
01:06:34,480 --> 01:06:39,640
Speaker 1: other occasions he contradicts himself. So some of us have

1175
01:06:39,760 --> 01:06:45,280
Speaker 1: learned to watch what the president does as opposed to

1176
01:06:45,400 --> 01:06:49,480
Speaker 1: what he says. I guess that was in the Q

1177
01:06:49,640 --> 01:06:52,560
Speaker 1: and a section of this speech. I didn't see that

1178
01:06:52,600 --> 01:06:57,280
Speaker 1: in the transcript here. But you know, the White House

1179
01:06:57,280 --> 01:07:00,200
Speaker 1: in disarray. The White House doesn't see to be in

1180
01:07:00,280 --> 01:07:03,960
Speaker 1: destroyer of me. They've got to find a national security advisor. Okay,

1181
01:07:04,120 --> 01:07:06,120
Speaker 1: let's just put this out there. And I know that

1182
01:07:06,160 --> 01:07:09,720
Speaker 1: this guy, I'm actually forgetting what's his what's the guy's name?

1183
01:07:09,720 --> 01:07:12,040
Speaker 1: A nation security visor who didn't take the job. I'm

1184
01:07:12,120 --> 01:07:16,120
Speaker 1: forgetting his name now. Um, hard hard word? Yeah, thank you, yeah,

1185
01:07:16,200 --> 01:07:18,800
Speaker 1: hard word. Uh, you know you didn't take the job.

1186
01:07:19,000 --> 01:07:22,040
Speaker 1: I get it. You want to be Trump's national security advisor.

1187
01:07:22,120 --> 01:07:25,160
Speaker 1: You want to step into that pot of boiling water.

1188
01:07:25,200 --> 01:07:27,560
Speaker 1: I can imagine why that wouldn't be top of the list.

1189
01:07:27,560 --> 01:07:30,320
Speaker 1: You're now a highly is the guy's service country for decades.

1190
01:07:30,360 --> 01:07:34,120
Speaker 1: He's a former Navy seal, great, great American patriot. You

1191
01:07:34,160 --> 01:07:36,120
Speaker 1: know what, God bless him. He wants to make money,

1192
01:07:36,160 --> 01:07:37,880
Speaker 1: spend time with his family and doesn't want to do this.

1193
01:07:37,960 --> 01:07:41,240
Speaker 1: I get it. I also think it probably mattered to

1194
01:07:41,320 --> 01:07:42,880
Speaker 1: him a lot that he wasn't able to pick his

1195
01:07:42,920 --> 01:07:46,000
Speaker 1: own top team. And they don't want more departures at

1196
01:07:46,000 --> 01:07:49,120
Speaker 1: the top of the National Security Council, and I feel

1197
01:07:49,120 --> 01:07:51,680
Speaker 1: the same way if you if it's if you're gonna

1198
01:07:51,680 --> 01:07:53,720
Speaker 1: be held to account for that kind of a job,

1199
01:07:53,960 --> 01:07:55,760
Speaker 1: you've got to have your top people in place. That

1200
01:07:55,800 --> 01:07:58,760
Speaker 1: would be my my feeling at least, although I'm a

1201
01:07:58,800 --> 01:08:00,840
Speaker 1: long way from being a National Secure Advisor, although I'd

1202
01:08:00,840 --> 01:08:03,280
Speaker 1: be a good one just putting that out there. Call

1203
01:08:03,320 --> 01:08:08,040
Speaker 1: me Trump, call me uh, but yeah, it's you know,

1204
01:08:08,080 --> 01:08:09,840
Speaker 1: I can understand why he wouldn't take that job, But

1205
01:08:10,280 --> 01:08:13,040
Speaker 1: the National Security Council is large. A lot of people

1206
01:08:13,080 --> 01:08:16,400
Speaker 1: work there, and it's not like Trump is lacking in

1207
01:08:17,479 --> 01:08:19,960
Speaker 1: lacking council when it comes to military, and you know

1208
01:08:20,000 --> 01:08:22,519
Speaker 1: that Security Advisor wasn't even around. It's like a relatively

1209
01:08:22,600 --> 01:08:26,639
Speaker 1: new gig really, and you know, he's got a maddest

1210
01:08:26,680 --> 01:08:28,600
Speaker 1: his secretary offense. I'm not saying he shouldn't have an

1211
01:08:28,720 --> 01:08:30,640
Speaker 1: n s A. Although you know, once someone once a

1212
01:08:30,760 --> 01:08:33,559
Speaker 1: senior government post is created, just like a government agency.

1213
01:08:33,720 --> 01:08:35,400
Speaker 1: The idea of not having it, everyone was like, oh

1214
01:08:35,479 --> 01:08:37,360
Speaker 1: my gosh, what are we gonna do? You know, so

1215
01:08:37,400 --> 01:08:40,640
Speaker 1: well he didn't. So he goes and asks Maddis if

1216
01:08:40,680 --> 01:08:42,559
Speaker 1: he's or he talks to the head of the CIA,

1217
01:08:42,800 --> 01:08:44,240
Speaker 1: or talks to the d n I, the Director of

1218
01:08:44,320 --> 01:08:46,000
Speaker 1: National Intelligence, or talks to the head of the n

1219
01:08:46,080 --> 01:08:47,599
Speaker 1: s A, or talks to the chairman of the Joint

1220
01:08:47,640 --> 01:08:50,439
Speaker 1: Chiefs of Staff. I mean, we could do this all day. Oh,

1221
01:08:50,520 --> 01:08:52,880
Speaker 1: the White House isn't disarrayed, doesn't have a National security

1222
01:08:52,880 --> 01:08:56,800
Speaker 1: advisor for a couple of days, he'll live. It's gotta

1223
01:08:56,800 --> 01:08:58,479
Speaker 1: be honest. You know, it's gonna be okay. It's not

1224
01:08:58,520 --> 01:09:00,559
Speaker 1: the it's not the end of the world. This notion

1225
01:09:00,600 --> 01:09:02,840
Speaker 1: the White House in disarray. You know what's putting the

1226
01:09:02,840 --> 01:09:04,880
Speaker 1: White House into some level of disarray and this is

1227
01:09:04,920 --> 01:09:08,120
Speaker 1: not of course the media focus are all the leaks

1228
01:09:08,320 --> 01:09:11,799
Speaker 1: about a White House in disarray, about conversations that are private,

1229
01:09:11,840 --> 01:09:15,639
Speaker 1: that are leaked, that are classified that you know that

1230
01:09:15,720 --> 01:09:18,920
Speaker 1: makes things harder. You d love this. The press is

1231
01:09:18,960 --> 01:09:25,559
Speaker 1: simultaneously pushing the White House into quote disarray and then

1232
01:09:25,600 --> 01:09:29,160
Speaker 1: reporting on the disarray. I mean, this is like showing

1233
01:09:29,240 --> 01:09:34,200
Speaker 1: up putting in the bed bug infestation yourself and then

1234
01:09:34,280 --> 01:09:36,439
Speaker 1: be like, well, you got a bedbug infestation. You're gonna

1235
01:09:36,479 --> 01:09:37,479
Speaker 1: have to pay me a lot of money to get

1236
01:09:37,600 --> 01:09:39,160
Speaker 1: rid of that for you. I mean it's a good

1237
01:09:39,200 --> 01:09:43,760
Speaker 1: way to do it. It's amazing. This is reporting on

1238
01:09:43,760 --> 01:09:46,559
Speaker 1: all the disarray. Meanwhile, the disarray comes from the way

1239
01:09:46,560 --> 01:09:48,920
Speaker 1: the press is reporting on the administration and the problemly

1240
01:09:48,960 --> 01:09:52,400
Speaker 1: created with Flynn. But this is very fixable. I don't

1241
01:09:52,479 --> 01:09:55,400
Speaker 1: know why they're still talking about Petray as yet. That

1242
01:09:55,520 --> 01:09:57,760
Speaker 1: isn't That is a no go. And I have no

1243
01:09:57,840 --> 01:10:01,000
Speaker 1: animals against Petray as people make me stakes. I'm very

1244
01:10:01,000 --> 01:10:04,519
Speaker 1: forgiving of people's mistakes. You know, was to degree anybody

1245
01:10:04,560 --> 01:10:07,320
Speaker 1: I think sensibly can be. But what he did was

1246
01:10:07,320 --> 01:10:12,160
Speaker 1: was really bad. Professionally. I don't think he endangered natural security.

1247
01:10:12,160 --> 01:10:13,960
Speaker 1: And no one's gonna die because of what Portrays did.

1248
01:10:14,200 --> 01:10:18,960
Speaker 1: That's all true. But you know, we can't have somebody

1249
01:10:19,000 --> 01:10:23,840
Speaker 1: that just avoided felony prosecution for all right, we'll get

1250
01:10:23,840 --> 01:10:25,519
Speaker 1: back into a second and I'm gonna talking more about

1251
01:10:25,560 --> 01:10:26,800
Speaker 1: John McCain. I got a lot to talk to you

1252
01:10:26,840 --> 01:10:29,000
Speaker 1: guys about. We got third hour freestyle, which means it's

1253
01:10:29,040 --> 01:10:32,760
Speaker 1: gonna be fun and wild, crazy topics, UM eight or four,

1254
01:10:33,040 --> 01:10:35,840
Speaker 1: nine to five. We've got some spots on the lines.

1255
01:10:36,320 --> 01:10:38,000
Speaker 1: Give me a call on the Freedom Hunt. You're right back.

1256
01:10:42,760 --> 01:10:47,080
Speaker 1: Oh boy, Uh, there is this is This is not

1257
01:10:47,160 --> 01:10:51,160
Speaker 1: this is not sitting well with the press, established establishment.

1258
01:10:51,840 --> 01:10:56,719
Speaker 1: Um you have Oh oh my, let's let's see Donald

1259
01:10:56,760 --> 01:11:00,280
Speaker 1: Trump tweeting out this is great. I mean, it's I mean,

1260
01:11:00,280 --> 01:11:03,680
Speaker 1: it's entertaining the fake news media. This is just a

1261
01:11:03,680 --> 01:11:06,240
Speaker 1: little earlier too, right before I came on air today,

1262
01:11:06,360 --> 01:11:09,439
Speaker 1: Trump twoted out the fake news media failing New York Times,

1263
01:11:09,560 --> 01:11:14,880
Speaker 1: NBC News, ABC, CBS, CNN is not my enemy. It

1264
01:11:15,000 --> 01:11:20,599
Speaker 1: is the enemy of the American people. Whoo that is

1265
01:11:22,040 --> 01:11:24,160
Speaker 1: that is going to get them spun up. That is

1266
01:11:24,280 --> 01:11:29,559
Speaker 1: not going to be met favorably by the by the

1267
01:11:29,600 --> 01:11:35,080
Speaker 1: press of the media establishment. Um wow, I'm not I'm

1268
01:11:35,120 --> 01:11:39,000
Speaker 1: not surprised that some of them are going to completely

1269
01:11:39,000 --> 01:11:41,000
Speaker 1: freak out over the weekend about this. I'm sure that

1270
01:11:41,160 --> 01:11:45,040
Speaker 1: is in fact the case. Uh do we by the way,

1271
01:11:45,080 --> 01:11:49,240
Speaker 1: do we have the max this is what's other Representative

1272
01:11:49,320 --> 01:11:53,439
Speaker 1: Congresswoman Maxie and Waters is going all in on this

1273
01:11:53,640 --> 01:11:56,439
Speaker 1: Kremlin Trump thing. Just as an aside, I played a

1274
01:11:56,439 --> 01:11:58,360
Speaker 1: little bit for you, Yesterdake. We do the Yeah, she

1275
01:11:58,400 --> 01:12:02,719
Speaker 1: says he's part of a Kremlin clan play. I've come

1276
01:12:02,760 --> 01:12:10,880
Speaker 1: to conclude that Trump has the Kremlin clan surrounding him

1277
01:12:10,920 --> 01:12:13,120
Speaker 1: and have been involved with him for a long time,

1278
01:12:13,160 --> 01:12:16,200
Speaker 1: and you name some of them this evening. I believe

1279
01:12:16,280 --> 01:12:20,120
Speaker 1: there's been collusion. They were involved in his campaign, and

1280
01:12:20,160 --> 01:12:23,759
Speaker 1: we've got to dig. These investigations have got to show

1281
01:12:23,800 --> 01:12:27,760
Speaker 1: the connection and prove that collusion, because as for me,

1282
01:12:28,280 --> 01:12:32,599
Speaker 1: I think it leads to impeachment and I believe that. Okay,

1283
01:12:32,800 --> 01:12:36,040
Speaker 1: first of all, my sense of investigations is that usually

1284
01:12:36,479 --> 01:12:39,400
Speaker 1: you do it to find out information. I like the

1285
01:12:39,439 --> 01:12:44,519
Speaker 1: way that congress Woman waters Like wants investigations to happen though,

1286
01:12:44,920 --> 01:12:47,439
Speaker 1: where they find out certain things that lead to a

1287
01:12:47,479 --> 01:12:50,240
Speaker 1: certain conclusion. I like that she's up front about that.

1288
01:12:50,720 --> 01:12:52,320
Speaker 1: You know, I would like to see that, you know,

1289
01:12:52,360 --> 01:12:55,120
Speaker 1: I'd like there to be an investigation so we impeach him.

1290
01:12:55,240 --> 01:12:59,519
Speaker 1: Well wait, shouldn't you probably have something to go on

1291
01:12:59,720 --> 01:13:02,000
Speaker 1: before where you moved to that impeachment phase. Isn't that

1292
01:13:02,040 --> 01:13:06,000
Speaker 1: may be better for all involved? I would think? Or no, no, no, no,

1293
01:13:06,080 --> 01:13:07,880
Speaker 1: because of course, the real goal is to just get

1294
01:13:07,960 --> 01:13:10,599
Speaker 1: rid of this president. I have to say as well,

1295
01:13:10,800 --> 01:13:14,000
Speaker 1: if they removed the the amazing to me is if

1296
01:13:14,040 --> 01:13:17,439
Speaker 1: they remove Trump from office, Let's just say, let's just

1297
01:13:17,479 --> 01:13:19,760
Speaker 1: play this game out for a second. Let's wargame this

1298
01:13:19,760 --> 01:13:24,080
Speaker 1: puppy together. Okay, So if they managed to remove Trump

1299
01:13:24,520 --> 01:13:29,400
Speaker 1: from office, the House impeaches, the Senate removes, which unless

1300
01:13:29,439 --> 01:13:34,559
Speaker 1: they have video of Trump and putin shirtless doing the

1301
01:13:34,840 --> 01:13:37,320
Speaker 1: doing the tango with the moon in this in the air,

1302
01:13:37,400 --> 01:13:40,479
Speaker 1: and Trump saying, you know, I'll do anything for you, Vladimir,

1303
01:13:40,560 --> 01:13:42,120
Speaker 1: or I'll sell out my country. I mean, it would

1304
01:13:42,160 --> 01:13:45,920
Speaker 1: have to be really extreme stuff. But let's just say

1305
01:13:45,960 --> 01:13:48,040
Speaker 1: that that happened just for the for the for the

1306
01:13:48,080 --> 01:13:51,040
Speaker 1: purposes of our discussion. I mean, you got a congresswoman

1307
01:13:51,040 --> 01:13:53,400
Speaker 1: who's out there saying that he's part of a Kremlin clan,

1308
01:13:53,479 --> 01:13:56,920
Speaker 1: and all these other major newspapers across the country running

1309
01:13:56,920 --> 01:14:00,320
Speaker 1: these stories, The New York Times running the story about

1310
01:14:00,320 --> 01:14:05,320
Speaker 1: how he has top advisors in constant content, our continuous contact,

1311
01:14:05,400 --> 01:14:10,720
Speaker 1: frequent contact with Russian intelligence. I'd really like to see

1312
01:14:10,760 --> 01:14:16,519
Speaker 1: what that evidence is and what that's all about, um,

1313
01:14:16,560 --> 01:14:20,000
Speaker 1: and and to what end I suppose the theory here?

1314
01:14:20,160 --> 01:14:22,160
Speaker 1: Oh wait, sorry, let me not get another theory. I

1315
01:14:22,160 --> 01:14:25,439
Speaker 1: know I'm jumping around. So they removed Trump from office,

1316
01:14:26,280 --> 01:14:29,760
Speaker 1: then they just get President Pence, who is about is

1317
01:14:29,920 --> 01:14:35,080
Speaker 1: even killed straight shooter, squeaky clean background as any politician

1318
01:14:35,120 --> 01:14:39,759
Speaker 1: anybody knows. So what you know, it's amazing, it's amazing,

1319
01:14:39,760 --> 01:14:41,240
Speaker 1: and that look, I'm not saying this would be a

1320
01:14:41,280 --> 01:14:43,439
Speaker 1: good thing. I think, you know, first, I think it's crazy.

1321
01:14:43,479 --> 01:14:45,560
Speaker 1: They've been talking about it. But other people on the

1322
01:14:45,600 --> 01:14:49,320
Speaker 1: right who are trying to uh not certainly with the

1323
01:14:49,320 --> 01:14:51,479
Speaker 1: backing of the entirety of the mainstream media. But there

1324
01:14:51,479 --> 01:14:53,320
Speaker 1: were some voices that were saying, oh, from the get go,

1325
01:14:53,400 --> 01:14:56,519
Speaker 1: we need doing peach Obama. Okay, but even if they

1326
01:14:56,520 --> 01:15:00,360
Speaker 1: were successful in this pipe dream, they're just to get

1327
01:15:00,439 --> 01:15:02,800
Speaker 1: left with the President Pence anyway, who would do a

1328
01:15:02,880 --> 01:15:07,120
Speaker 1: darn good job. So, you know, they just this is

1329
01:15:07,200 --> 01:15:10,479
Speaker 1: just red meat for the base fond to flip out.

1330
01:15:10,520 --> 01:15:13,880
Speaker 1: They got nothing, nothing to talk about we're talking about

1331
01:15:13,960 --> 01:15:16,519
Speaker 1: right now other than how terrible Trump is. You know.

1332
01:15:16,560 --> 01:15:20,559
Speaker 1: They don't offer any policy solutions or anything else. So

1333
01:15:21,200 --> 01:15:24,360
Speaker 1: it's just astonishing to me that here we are, we've

1334
01:15:24,360 --> 01:15:27,040
Speaker 1: already got people saying that Trump Kremlin plan all this stuff.

1335
01:15:27,040 --> 01:15:30,240
Speaker 1: It's just nonsense, It really is, um but people are

1336
01:15:30,800 --> 01:15:32,800
Speaker 1: people are really latching onto it. All. Right, third hour,

1337
01:15:32,840 --> 01:15:37,360
Speaker 1: We've got some freestyle coming, which means random topics, fun topics,

1338
01:15:37,400 --> 01:15:39,679
Speaker 1: and some news topics. Also, you can call them whenever

1339
01:15:39,720 --> 01:15:43,280
Speaker 1: you like. Eight four four to five will be right back.

1340
01:15:45,560 --> 01:15:47,720
Speaker 1: The things that matter most in your day to day

1341
01:15:47,760 --> 01:15:51,559
Speaker 1: life are too important to trust to just anyone. That's why,

1342
01:15:51,680 --> 01:15:57,040
Speaker 1: that's why he's here, Buck Sexton with America Now, Sharp Mind,

1343
01:15:57,520 --> 01:16:02,559
Speaker 1: strong voice, Buck Sexton, Team Buck, Welcome back to the

1344
01:16:02,600 --> 01:16:05,880
Speaker 1: Freedom Hut eight four four nine zero zero to eight

1345
01:16:05,880 --> 01:16:07,640
Speaker 1: to five if you want to call in eight four

1346
01:16:07,720 --> 01:16:13,080
Speaker 1: four five. We're joined now by our guest, Jean Donaldson.

1347
01:16:13,200 --> 01:16:16,040
Speaker 1: She's one of the world's leading experts in dog training

1348
01:16:16,120 --> 01:16:19,519
Speaker 1: and behavior with over thirty years of experience. She's the

1349
01:16:19,520 --> 01:16:23,439
Speaker 1: founder and director of the San Francisco SPCA Academy for

1350
01:16:23,520 --> 01:16:27,360
Speaker 1: Dog Trainers, and she's got award winning books, including The

1351
01:16:27,360 --> 01:16:30,680
Speaker 1: Culture Class and Oh Behave Gene. Thank you very much

1352
01:16:30,680 --> 01:16:34,759
Speaker 1: for calling in. Hey, glad to be here. UM. So,

1353
01:16:34,960 --> 01:16:36,720
Speaker 1: there are a couple of new studies out. You're so

1354
01:16:36,800 --> 01:16:39,679
Speaker 1: you're you're a world leading expert in dog training behavior.

1355
01:16:39,720 --> 01:16:41,760
Speaker 1: I saw a couple of pieces. I love dogs, and

1356
01:16:41,800 --> 01:16:44,519
Speaker 1: I'd be willing to bet about of the audience listening

1357
01:16:44,600 --> 01:16:49,639
Speaker 1: right now also loves dogs. UM. One of the fascinating studies.

1358
01:16:49,880 --> 01:16:54,080
Speaker 1: One of them is about how dogs judge the behavior

1359
01:16:54,280 --> 01:16:56,799
Speaker 1: of humans. They did this experiment where they bring people

1360
01:16:57,080 --> 01:17:00,760
Speaker 1: in and they act out things where human being is

1361
01:17:00,800 --> 01:17:03,479
Speaker 1: either being kind or generous or being indifferent or not

1362
01:17:03,560 --> 01:17:06,680
Speaker 1: so nice, and the dogs respond to this. How does

1363
01:17:06,720 --> 01:17:10,240
Speaker 1: this work? That that study, we want to be a

1364
01:17:10,280 --> 01:17:13,559
Speaker 1: little bit careful about interpreting that. Um, the way it

1365
01:17:13,600 --> 01:17:17,760
Speaker 1: will set up, they had dogs witnessing people either being

1366
01:17:17,880 --> 01:17:21,320
Speaker 1: nice or not nice to a human uh near them,

1367
01:17:21,520 --> 01:17:24,280
Speaker 1: and then the dog had the option of going to

1368
01:17:24,320 --> 01:17:27,040
Speaker 1: that person to to accept a reward or not. And

1369
01:17:27,160 --> 01:17:30,559
Speaker 1: according to the study, dogs were more likely to approach

1370
01:17:30,600 --> 01:17:34,280
Speaker 1: for rewards somebody who seemed to be kind to other people.

1371
01:17:34,760 --> 01:17:37,439
Speaker 1: The problem is there, you know, that's going to need

1372
01:17:37,479 --> 01:17:41,160
Speaker 1: to be replicated before I'm personally convinced that that's what's

1373
01:17:41,200 --> 01:17:45,479
Speaker 1: going on, that dogs are evaluating morality. Um, it's really

1374
01:17:45,520 --> 01:17:48,280
Speaker 1: possible that the dog is looking and seeing, well, that

1375
01:17:48,360 --> 01:17:51,519
Speaker 1: person is the one that most recently, you know, touched

1376
01:17:51,800 --> 01:17:54,320
Speaker 1: the thing full of treats and had it open that

1377
01:17:54,400 --> 01:17:56,040
Speaker 1: you know when I was reading it through us and

1378
01:17:56,560 --> 01:17:59,280
Speaker 1: you know that we need to replicate that one and

1379
01:17:59,400 --> 01:18:02,080
Speaker 1: to be a slowly sure that that's the interpretation. But

1380
01:18:02,120 --> 01:18:05,599
Speaker 1: it's not out of the question that that's what's going on? Now?

1381
01:18:05,760 --> 01:18:10,800
Speaker 1: What is true about dogs and their ability to uh tell?

1382
01:18:10,920 --> 01:18:13,160
Speaker 1: You know, I've heard people say things like that, and

1383
01:18:13,240 --> 01:18:16,200
Speaker 1: Jerry McGuire The Kids says bees and dogs can smell fear.

1384
01:18:16,760 --> 01:18:18,960
Speaker 1: Can dogs pick up I'm probably I don't know if

1385
01:18:18,960 --> 01:18:20,679
Speaker 1: that's true about bees. I'm assuming it's not, but maybe

1386
01:18:20,680 --> 01:18:23,680
Speaker 1: it is. But can dogs pick up human emotions? Are

1387
01:18:23,720 --> 01:18:26,360
Speaker 1: they able to you know, if you're angry or sad

1388
01:18:26,479 --> 01:18:30,080
Speaker 1: or based on your tone of voice? How much emotional

1389
01:18:30,120 --> 01:18:34,080
Speaker 1: intelligence does man's Best friend really possessed when it comes

1390
01:18:34,120 --> 01:18:38,360
Speaker 1: to interacting with men and women? They have tons, tons

1391
01:18:38,400 --> 01:18:41,680
Speaker 1: of ability there. Not only can they learn, they can

1392
01:18:41,760 --> 01:18:43,960
Speaker 1: learn all kinds of subtle things that boy, when you know,

1393
01:18:44,000 --> 01:18:46,960
Speaker 1: when people start raising their voices, when people start doing

1394
01:18:46,960 --> 01:18:49,400
Speaker 1: this out of the other, it predicts bad things for me.

1395
01:18:49,800 --> 01:18:54,720
Speaker 1: They also have a long evolutionary history with people, um

1396
01:18:54,760 --> 01:18:57,759
Speaker 1: and so they're very finely tuned, and they're very finally

1397
01:18:57,760 --> 01:18:59,920
Speaker 1: tuned to their owners because the owners really the central

1398
01:19:00,040 --> 01:19:02,719
Speaker 1: their world. The owner makes all the decisions that affect

1399
01:19:02,720 --> 01:19:06,240
Speaker 1: the dog's life. Um and so it's really not surprising

1400
01:19:06,280 --> 01:19:08,599
Speaker 1: that they're so bonded to us and that they do.

1401
01:19:08,880 --> 01:19:14,200
Speaker 1: They they understand, um, you know, bad emotions, anger, when

1402
01:19:14,240 --> 01:19:17,639
Speaker 1: people are about to be scary, and they also I think,

1403
01:19:17,800 --> 01:19:19,800
Speaker 1: learn when we're in good moods and that you know,

1404
01:19:19,840 --> 01:19:22,200
Speaker 1: good things are about to happen. I mean they they

1405
01:19:22,280 --> 01:19:24,800
Speaker 1: this piece in the Mirror, the paper in the UK

1406
01:19:25,400 --> 01:19:28,240
Speaker 1: says that dogs have a human like sense of morality

1407
01:19:28,280 --> 01:19:33,320
Speaker 1: according to this research experiment done in Japan where they

1408
01:19:33,479 --> 01:19:35,760
Speaker 1: they set up I mean, this is another experiment that

1409
01:19:35,800 --> 01:19:39,080
Speaker 1: I'm sure it's imperfect but makes very interesting reading where

1410
01:19:39,120 --> 01:19:43,040
Speaker 1: they have people and in one experiment, according to the Mirror,

1411
01:19:43,160 --> 01:19:46,280
Speaker 1: involved the dog watching two people arrived with three balls,

1412
01:19:46,439 --> 01:19:48,920
Speaker 1: one asked for the one asked the other for their balls. Essentially,

1413
01:19:48,920 --> 01:19:53,080
Speaker 1: they played out a an instance of generosity and kindness

1414
01:19:53,120 --> 01:19:55,519
Speaker 1: among people. And they're saying the dogs responded to that,

1415
01:19:55,600 --> 01:19:58,920
Speaker 1: what do you say? I don't know, Uh, it's it's

1416
01:19:59,080 --> 01:20:01,519
Speaker 1: it's not out of the question, but um, I would

1417
01:20:01,520 --> 01:20:05,160
Speaker 1: want to see that replicated, um to control for effects

1418
01:20:05,160 --> 01:20:07,439
Speaker 1: like the dog saying, well, that was the person that

1419
01:20:07,600 --> 01:20:11,120
Speaker 1: handled the ball more. Um, that's the person where it's

1420
01:20:11,160 --> 01:20:13,280
Speaker 1: more fresh in the dog's mind and that's where the

1421
01:20:13,280 --> 01:20:16,599
Speaker 1: ball was actually situated. I'm not sure that that research

1422
01:20:16,800 --> 01:20:20,679
Speaker 1: did a perfect job of controlling for all alternative effects

1423
01:20:20,680 --> 01:20:22,559
Speaker 1: that could explain that. I hate to be sort of

1424
01:20:22,600 --> 01:20:25,280
Speaker 1: the buzz kill on this, but you know, I figure

1425
01:20:25,400 --> 01:20:27,800
Speaker 1: I've we brought you in for your expertise these experiments.

1426
01:20:27,800 --> 01:20:30,760
Speaker 1: I read them and think, well, it makes for interesting reading,

1427
01:20:30,760 --> 01:20:33,160
Speaker 1: which of course is why UK Tabloid is gonna be

1428
01:20:33,200 --> 01:20:36,040
Speaker 1: printing this. But they said that in this this other

1429
01:20:36,080 --> 01:20:39,200
Speaker 1: experiment that the researchers found the dogs were less inclined

1430
01:20:39,240 --> 01:20:41,160
Speaker 1: to accept treats from a person that they had observed

1431
01:20:41,200 --> 01:20:43,760
Speaker 1: doing the quote selfish behavior. So again they're saying that

1432
01:20:43,760 --> 01:20:46,160
Speaker 1: there's a response here to this, But it seems to

1433
01:20:46,200 --> 01:20:49,800
Speaker 1: me very likely based on the differences that you can

1434
01:20:49,840 --> 01:20:53,639
Speaker 1: observe that anyone can observe in a dog's behavior. When

1435
01:20:53,680 --> 01:20:55,559
Speaker 1: we when you, when you know the owners, I feel

1436
01:20:55,560 --> 01:20:58,000
Speaker 1: like you can really make the judgments pretty easily because

1437
01:20:58,000 --> 01:21:00,120
Speaker 1: you know that an attentive owner that really care is

1438
01:21:00,120 --> 01:21:02,320
Speaker 1: about the dog. That seems to be, at least in

1439
01:21:02,360 --> 01:21:05,280
Speaker 1: my experience, reflected in the dog's behavior. Whereas if a

1440
01:21:05,360 --> 01:21:08,599
Speaker 1: dog's in an erratic household, if it's uh, if it's

1441
01:21:08,600 --> 01:21:10,800
Speaker 1: put under a lot of dress or stress, if there

1442
01:21:10,840 --> 01:21:12,640
Speaker 1: are people that aren't around to take care of it.

1443
01:21:12,680 --> 01:21:14,439
Speaker 1: If it's left alone for a long periods of time

1444
01:21:14,479 --> 01:21:18,120
Speaker 1: and you know it's not taken care of properly, that

1445
01:21:18,200 --> 01:21:20,320
Speaker 1: then that also manifests itself. But I feel like people

1446
01:21:20,320 --> 01:21:22,479
Speaker 1: are most able to make those determinations when they know

1447
01:21:22,520 --> 01:21:24,640
Speaker 1: the owners, and maybe that also excused their view of

1448
01:21:24,640 --> 01:21:28,080
Speaker 1: what's going on. Certainly, I mean, the owner variable is

1449
01:21:28,360 --> 01:21:31,799
Speaker 1: enormous with dogs, I mean, um, and so what exactly

1450
01:21:31,880 --> 01:21:35,200
Speaker 1: what you just said, um is probably a more important

1451
01:21:35,200 --> 01:21:37,679
Speaker 1: sext So even if there is some ability of dogs

1452
01:21:37,720 --> 01:21:40,880
Speaker 1: to gauge and care about morality, which I would say

1453
01:21:40,880 --> 01:21:42,479
Speaker 1: remains to be seen. I mean, I think that the

1454
01:21:42,560 --> 01:21:45,519
Speaker 1: healthy skepticism here is probably a good position to take.

1455
01:21:45,640 --> 01:21:48,760
Speaker 1: And there's going to be more such research coming along. Um.

1456
01:21:48,800 --> 01:21:50,760
Speaker 1: You know, opthors are going to tempt to replicate this,

1457
01:21:50,800 --> 01:21:54,280
Speaker 1: and we'll see what they come up with. We also,

1458
01:21:54,360 --> 01:21:56,360
Speaker 1: I wanted to know what you think about this notion

1459
01:21:56,400 --> 01:21:58,960
Speaker 1: that the I've seen studies about this in the past

1460
01:21:58,960 --> 01:22:01,840
Speaker 1: two and for listen, we're speaking to Gene Donaldson. She's

1461
01:22:01,840 --> 01:22:05,679
Speaker 1: a world leading expert in dog training and behavior. UM. Gene,

1462
01:22:06,360 --> 01:22:08,160
Speaker 1: conduct when you your voice, you know people when they

1463
01:22:08,200 --> 01:22:10,320
Speaker 1: talk to their dogs, they sort of do baby talk,

1464
01:22:10,400 --> 01:22:12,880
Speaker 1: and also of course at the dog you know, goes

1465
01:22:13,560 --> 01:22:16,400
Speaker 1: we we on the rug. Then people will say, oh,

1466
01:22:16,479 --> 01:22:19,240
Speaker 1: don't you know that that's a very stern voice. Can

1467
01:22:19,280 --> 01:22:23,040
Speaker 1: they make those kinds of determinations? Is that something that's uh?

1468
01:22:23,320 --> 01:22:27,360
Speaker 1: Can they Can they make that distinction based on voice content? Yes,

1469
01:22:27,439 --> 01:22:29,519
Speaker 1: they can? Um, and not only can they do it

1470
01:22:29,560 --> 01:22:31,920
Speaker 1: for the naturally if they're going to find um. A

1471
01:22:31,920 --> 01:22:34,439
Speaker 1: lot of dogs find it inherently kind of pleasing, that

1472
01:22:34,479 --> 01:22:36,760
Speaker 1: baby talk. So if you're not good at doing it,

1473
01:22:36,760 --> 01:22:39,439
Speaker 1: it's worth cultivating the ability. It does make a difference.

1474
01:22:39,520 --> 01:22:43,160
Speaker 1: And dogs also are really expert at learning. They learn

1475
01:22:43,320 --> 01:22:45,679
Speaker 1: that when we tend to do that, we then tend

1476
01:22:45,720 --> 01:22:47,479
Speaker 1: to be nice to them, or when we tend to

1477
01:22:47,800 --> 01:22:50,240
Speaker 1: raise our voices, we then tend to be scary to them.

1478
01:22:50,360 --> 01:22:53,599
Speaker 1: So they learn those associations also really well. So you've

1479
01:22:53,600 --> 01:22:55,880
Speaker 1: got a lot of people listening, you have dogs, What

1480
01:22:56,000 --> 01:22:58,400
Speaker 1: are some of your what are some of your your

1481
01:22:58,439 --> 01:23:03,120
Speaker 1: your basic foundation all if you want a happy canine companion,

1482
01:23:03,280 --> 01:23:06,080
Speaker 1: but you want them to or her to, you know,

1483
01:23:06,520 --> 01:23:10,719
Speaker 1: obey basic commands and and have a very good relationship

1484
01:23:10,760 --> 01:23:12,320
Speaker 1: with the two of you. That makes it easier to

1485
01:23:12,320 --> 01:23:13,800
Speaker 1: deal with the dog, and you get everything you want

1486
01:23:13,840 --> 01:23:15,519
Speaker 1: out of the relationship, all the rest of it. What

1487
01:23:15,720 --> 01:23:17,479
Speaker 1: is the what are the important things that you would

1488
01:23:17,479 --> 01:23:19,479
Speaker 1: want people to know about if they've got a puppy

1489
01:23:19,560 --> 01:23:21,679
Speaker 1: or if they're about to adopt a dog, What should

1490
01:23:21,720 --> 01:23:24,400
Speaker 1: they know? How should they do this? If they've got

1491
01:23:24,400 --> 01:23:26,800
Speaker 1: a young puppy, the most important thing is to get

1492
01:23:26,800 --> 01:23:29,960
Speaker 1: that out and exposed to a wide variety of people

1493
01:23:30,240 --> 01:23:32,120
Speaker 1: and get it some age. And they send some dog

1494
01:23:32,320 --> 01:23:35,880
Speaker 1: other puppy friends, so the dog gets really socialized. They've

1495
01:23:35,880 --> 01:23:38,439
Speaker 1: gotten adult dogs, then we're onto, you know, trying to

1496
01:23:38,520 --> 01:23:40,679
Speaker 1: train them to be a good companion. In that case,

1497
01:23:40,720 --> 01:23:43,880
Speaker 1: it's all about motivation. Um, there's a saying in among

1498
01:23:44,000 --> 01:23:47,000
Speaker 1: pro trainers which is no motivation, no training. And I

1499
01:23:47,080 --> 01:23:49,880
Speaker 1: think a lot of people expect the you know, the

1500
01:23:49,960 --> 01:23:51,840
Speaker 1: dog to just obey out of some sort of sense

1501
01:23:51,880 --> 01:23:54,960
Speaker 1: of gratitude. Unfortunately, that's not going to happen, and so

1502
01:23:55,560 --> 01:23:58,759
Speaker 1: get to your fridge, get the chicken, and start motivating

1503
01:23:58,840 --> 01:24:01,799
Speaker 1: your dogs. So treats are an essential part of training

1504
01:24:01,880 --> 01:24:03,479
Speaker 1: and training a dog. I mean this is like, you know,

1505
01:24:03,479 --> 01:24:04,880
Speaker 1: if someone wants me to show up for work, they

1506
01:24:04,920 --> 01:24:06,960
Speaker 1: gotta pay me. So if you want your dog to

1507
01:24:07,000 --> 01:24:08,720
Speaker 1: do what you tell it, you gotta give it a

1508
01:24:08,800 --> 01:24:11,639
Speaker 1: little something, a little something to be excited about. Yeah.

1509
01:24:11,720 --> 01:24:14,240
Speaker 1: I mean, you might really love your job and people

1510
01:24:14,320 --> 01:24:16,200
Speaker 1: many people like their jobs, but as soon as the

1511
01:24:16,240 --> 01:24:18,680
Speaker 1: payment stops, behavior is going to die. Um, and we

1512
01:24:18,760 --> 01:24:20,680
Speaker 1: need to accept that about dog don't mean they love

1513
01:24:20,760 --> 01:24:23,400
Speaker 1: us any any loss. It just means that they're like

1514
01:24:23,479 --> 01:24:26,360
Speaker 1: a properly functioning animal and you've got to motivate them,

1515
01:24:26,400 --> 01:24:29,479
Speaker 1: and they're really good pros. No to do that. Is

1516
01:24:29,520 --> 01:24:32,280
Speaker 1: there a book or a site that you'd recommended people

1517
01:24:32,280 --> 01:24:33,840
Speaker 1: if they want to learn a bit more about how

1518
01:24:33,880 --> 01:24:38,720
Speaker 1: to properly train their dogs. We have a graduates um

1519
01:24:38,840 --> 01:24:42,400
Speaker 1: from our program, which are the most thoroughly trained trainers

1520
01:24:42,479 --> 01:24:44,559
Speaker 1: on the slip. They go to Academy for Dog Trainers

1521
01:24:44,720 --> 01:24:47,519
Speaker 1: dot com um they can do a search in their

1522
01:24:47,680 --> 01:24:50,920
Speaker 1: local area and find a competent trainer. Training is not

1523
01:24:51,080 --> 01:24:53,879
Speaker 1: regulated in this country, so it's very much buy or beware.

1524
01:24:54,160 --> 01:24:56,439
Speaker 1: Anybody can hang out a shingle, so make sure you

1525
01:24:56,520 --> 01:25:01,360
Speaker 1: get somebody who's licensed, educated, uh, knows their stuff, got credential.

1526
01:25:01,560 --> 01:25:05,720
Speaker 1: What was that sight again? Academy for Dog Painers dot Com.

1527
01:25:05,920 --> 01:25:09,719
Speaker 1: All Right, Gene Donaldson, expert in dog training and award

1528
01:25:09,800 --> 01:25:13,240
Speaker 1: winning author including The Culture Clash and Oh behave Gene,

1529
01:25:13,240 --> 01:25:15,280
Speaker 1: appreciate your time this Friday night. Have a great weekend.

1530
01:25:16,120 --> 01:25:19,960
Speaker 1: Have a great weekend. Alright, Team Buck, we've started our

1531
01:25:20,000 --> 01:25:22,439
Speaker 1: freestyle Friday action here in this hour. We can also

1532
01:25:22,479 --> 01:25:25,160
Speaker 1: take some calls from you wherever you are across the country.

1533
01:25:25,280 --> 01:25:28,760
Speaker 1: Eight four four nine zero zero to eight to five.

1534
01:25:28,960 --> 01:25:36,400
Speaker 1: We will be right back. Buck is back. Thank you

1535
01:25:36,439 --> 01:25:39,000
Speaker 1: so much for being with me. Team really appreciate it.

1536
01:25:39,200 --> 01:25:42,040
Speaker 1: We got John in Mississippi on w BUV getting a

1537
01:25:42,080 --> 01:25:45,000
Speaker 1: lot of w BUV love tonight. Thank you down there, Mississippi.

1538
01:25:45,040 --> 01:25:49,080
Speaker 1: What's up John? Well, Hello, Buck, I'm frankly, I'm I

1539
01:25:49,200 --> 01:25:51,519
Speaker 1: put myself on hold so I could hear the last

1540
01:25:51,600 --> 01:25:55,280
Speaker 1: hour of your show. And I am intrigued by your

1541
01:25:55,320 --> 01:25:59,839
Speaker 1: attempt to analyze John McCain and I considered him an enigma,

1542
01:26:00,840 --> 01:26:05,240
Speaker 1: but I think that we really don't know quite a

1543
01:26:05,320 --> 01:26:08,000
Speaker 1: few of our politicians. We have to really make an

1544
01:26:08,000 --> 01:26:10,120
Speaker 1: effort to get to know them and dig into their

1545
01:26:10,800 --> 01:26:13,680
Speaker 1: their thoughts and their feelings, what motivates them. And so

1546
01:26:13,880 --> 01:26:16,960
Speaker 1: I applaud you for apparently you have an interest in psychology,

1547
01:26:17,920 --> 01:26:21,559
Speaker 1: which this kind of tas into your last guest who

1548
01:26:21,680 --> 01:26:26,479
Speaker 1: talked about dogs how intelligent they are. So, um, I'm

1549
01:26:26,640 --> 01:26:29,200
Speaker 1: I'm interested in your show and I think I like

1550
01:26:29,360 --> 01:26:31,760
Speaker 1: the way you think, and so I'm glad I've been

1551
01:26:31,840 --> 01:26:33,519
Speaker 1: on hold. I hope you put me back on the

1552
01:26:33,600 --> 01:26:36,160
Speaker 1: hold and I hear the rest of the thank you. Look,

1553
01:26:36,560 --> 01:26:38,920
Speaker 1: I appreciate very much that you you like the show

1554
01:26:39,000 --> 01:26:41,920
Speaker 1: and you're enjoying it. So thank you John for calling in.

1555
01:26:42,000 --> 01:26:45,080
Speaker 1: And as to John, as to a John McCain, Uh,

1556
01:26:45,840 --> 01:26:48,360
Speaker 1: you go ahead. You should get a job with a

1557
01:26:48,479 --> 01:26:52,840
Speaker 1: central intelligence agency and analyze complex problems. I think you'd

1558
01:26:52,880 --> 01:26:54,800
Speaker 1: be good at that. I'll be honest with you, I

1559
01:26:54,920 --> 01:26:56,519
Speaker 1: was pretty good at it back in the day. They

1560
01:26:56,560 --> 01:26:58,800
Speaker 1: wanted they wanted me to stay very badly, but I

1561
01:26:59,080 --> 01:27:01,320
Speaker 1: decided that I had had enough working for the government.

1562
01:27:01,360 --> 01:27:05,960
Speaker 1: But John shieldside out of Mississippi, thank you very much. Uh. Yeah, No,

1563
01:27:06,040 --> 01:27:08,240
Speaker 1: I was never somebody who left when I when I

1564
01:27:08,320 --> 01:27:12,360
Speaker 1: left the CIA, it wasn't because I didn't like it

1565
01:27:12,600 --> 01:27:16,479
Speaker 1: or didn't didn't fully buying into the mission, or I

1566
01:27:16,600 --> 01:27:19,080
Speaker 1: just wanted to spend some time. I'm from New York City.

1567
01:27:19,120 --> 01:27:20,720
Speaker 1: I was born and raised here. I figured i'd spent

1568
01:27:20,800 --> 01:27:24,439
Speaker 1: some time with my family because I had been largely

1569
01:27:24,479 --> 01:27:26,400
Speaker 1: away from them for a few years. I had my

1570
01:27:26,680 --> 01:27:31,639
Speaker 1: my brothers and my sister, and my parents and aunt's, uncles, cousins,

1571
01:27:31,680 --> 01:27:33,360
Speaker 1: all the rest of it up here in New York.

1572
01:27:34,160 --> 01:27:37,120
Speaker 1: And so I asked to take a year to go

1573
01:27:37,280 --> 01:27:39,000
Speaker 1: up to New York City and work for the NYPD

1574
01:27:39,720 --> 01:27:43,040
Speaker 1: Intelligence Division while I was at the agency. So they

1575
01:27:43,120 --> 01:27:47,559
Speaker 1: gave me leave to go do that. And after being

1576
01:27:47,640 --> 01:27:50,960
Speaker 1: at the agency for about five years or so, and

1577
01:27:51,000 --> 01:27:52,960
Speaker 1: then I was thinking, well, maybe I'll go to grad school.

1578
01:27:53,800 --> 01:27:58,160
Speaker 1: And I was applying to MBA programs business business schools,

1579
01:27:59,320 --> 01:28:02,160
Speaker 1: and got into a school I was very happy to

1580
01:28:02,760 --> 01:28:05,040
Speaker 1: get into and was waiting to hear from another one.

1581
01:28:05,080 --> 01:28:06,960
Speaker 1: And I had a those of you who are wondering

1582
01:28:06,960 --> 01:28:09,400
Speaker 1: where this. I had coffee with a woman who had

1583
01:28:09,560 --> 01:28:12,439
Speaker 1: heard about me, and she had heard about me from

1584
01:28:12,720 --> 01:28:15,680
Speaker 1: a mutual well from a friend of mine an acquaintance

1585
01:28:15,720 --> 01:28:18,760
Speaker 1: of hers at a women in technology conference. And she

1586
01:28:18,880 --> 01:28:21,920
Speaker 1: had her assistant send me an email and say, hey,

1587
01:28:22,320 --> 01:28:24,800
Speaker 1: you know, I heard your thinking about business school. I'm

1588
01:28:25,600 --> 01:28:28,839
Speaker 1: and I know you're a former CI. I just resigned

1589
01:28:28,880 --> 01:28:31,880
Speaker 1: resigned the CI, A former CIA guy. I might want

1590
01:28:31,920 --> 01:28:34,360
Speaker 1: to do a little writing, you might want to do

1591
01:28:34,360 --> 01:28:36,800
Speaker 1: a little analysis while you're in school. And that was

1592
01:28:36,920 --> 01:28:39,360
Speaker 1: the at least the pretext for the meeting. And we

1593
01:28:39,479 --> 01:28:41,680
Speaker 1: sat down and turned out she was the president of

1594
01:28:41,920 --> 01:28:46,000
Speaker 1: the Blaze and had been before that the CEO of

1595
01:28:46,080 --> 01:28:50,120
Speaker 1: the Huffington Post, believe it or not. And we got

1596
01:28:50,160 --> 01:28:53,040
Speaker 1: along quite well, and she said you should come work

1597
01:28:53,080 --> 01:28:55,400
Speaker 1: for us. And that was at the Blaze, which Glenbeck

1598
01:28:55,439 --> 01:29:00,559
Speaker 1: started when he left Fox News. And I had uh

1599
01:29:00,920 --> 01:29:03,200
Speaker 1: to apply to business school. I had cashed out my

1600
01:29:03,560 --> 01:29:06,439
Speaker 1: meager four oh one k because the applications and all

1601
01:29:06,479 --> 01:29:09,680
Speaker 1: the materials and everything were expensive. And I remember and

1602
01:29:09,960 --> 01:29:12,840
Speaker 1: I was it was really at the time, pretty much

1603
01:29:13,280 --> 01:29:15,639
Speaker 1: all the money in the world that I had went

1604
01:29:15,760 --> 01:29:19,080
Speaker 1: to save a spot at a and they have a

1605
01:29:19,200 --> 01:29:21,479
Speaker 1: very long waiting lesson. They were perfectly happy to just

1606
01:29:21,600 --> 01:29:24,000
Speaker 1: keep my money, uh, to save a spot at one

1607
01:29:24,040 --> 01:29:26,000
Speaker 1: business school, and I was waiting to hear from another.

1608
01:29:26,040 --> 01:29:27,719
Speaker 1: And if you don't take the spot, they keep your money.

1609
01:29:28,400 --> 01:29:30,240
Speaker 1: And I couldn't get the money back. And the school

1610
01:29:30,280 --> 01:29:32,240
Speaker 1: gave me a T shirt. And as I like to

1611
01:29:32,280 --> 01:29:34,000
Speaker 1: say to people, that's the that's the most expensive T

1612
01:29:34,120 --> 01:29:36,519
Speaker 1: shirt in the world. Dude, that was a really and

1613
01:29:36,560 --> 01:29:38,559
Speaker 1: it's not even nice, Like the cotton is not even

1614
01:29:38,600 --> 01:29:41,760
Speaker 1: a good quality. It doesn't fit well. It's kind of

1615
01:29:41,960 --> 01:29:44,800
Speaker 1: one of those stiff T shirts. But that was the

1616
01:29:44,840 --> 01:29:46,960
Speaker 1: most expensive T shirt I ever bought, because they sent

1617
01:29:47,080 --> 01:29:48,680
Speaker 1: that to me when I sent them the deposit. I

1618
01:29:48,720 --> 01:29:51,880
Speaker 1: never got that deposit back. And it'll be six years

1619
01:29:51,920 --> 01:29:54,759
Speaker 1: ago in June that I made the decision to work

1620
01:29:55,600 --> 01:29:58,040
Speaker 1: for the Blaze, right when it was really starting up

1621
01:29:58,080 --> 01:30:00,280
Speaker 1: as a TV channel, and then later on at also

1622
01:30:00,720 --> 01:30:04,800
Speaker 1: got going with the radio station digital radio only, and

1623
01:30:05,000 --> 01:30:07,680
Speaker 1: that's how yours truly found his way. After doing that,

1624
01:30:07,880 --> 01:30:09,800
Speaker 1: and then filling in for Glenn on radio, and then

1625
01:30:10,240 --> 01:30:13,080
Speaker 1: Sean Hannity, and then Rush Limbaugh, and then filling in

1626
01:30:13,120 --> 01:30:15,800
Speaker 1: for Rush a whole bunch of times, most recently in

1627
01:30:16,120 --> 01:30:21,639
Speaker 1: in January, that's how this all happened. So the CIA

1628
01:30:21,800 --> 01:30:24,960
Speaker 1: was a very interesting place. I'll try to think. I'm

1629
01:30:24,960 --> 01:30:28,800
Speaker 1: always very cautious about talking about agency stuff for for

1630
01:30:28,920 --> 01:30:32,559
Speaker 1: obvious reasons. But since I like all of you those

1631
01:30:32,600 --> 01:30:34,639
Speaker 1: you listening to me here on the buck Sex of America,

1632
01:30:34,640 --> 01:30:37,280
Speaker 1: now I'm gonna try to think of some anecdotes to

1633
01:30:37,320 --> 01:30:38,840
Speaker 1: share with you. I'd like to tell you the funny

1634
01:30:38,880 --> 01:30:42,040
Speaker 1: stuff of being an analyst, about being an analyst there,

1635
01:30:42,080 --> 01:30:45,560
Speaker 1: and and some of the uh less James Bond like

1636
01:30:45,800 --> 01:30:49,479
Speaker 1: aspects of it. I remember driving something. I'm just giving

1637
01:30:49,520 --> 01:30:52,600
Speaker 1: you some of my my backstories. It's Friday, you know,

1638
01:30:52,640 --> 01:30:54,719
Speaker 1: a lot of you probably finished with work or finishing

1639
01:30:54,800 --> 01:30:56,800
Speaker 1: up work, getting ready for your weekends. Figured we could

1640
01:30:56,840 --> 01:30:59,240
Speaker 1: hang out for a little bit. But I remember being

1641
01:30:59,280 --> 01:31:03,160
Speaker 1: at the agency, and also it wasn't my first day,

1642
01:31:03,200 --> 01:31:04,960
Speaker 1: but it was maybe my first week there. I was

1643
01:31:05,160 --> 01:31:07,560
Speaker 1: driving up and I was trying to get my my

1644
01:31:08,000 --> 01:31:10,519
Speaker 1: badge to show them so that let me drive in,

1645
01:31:11,200 --> 01:31:13,439
Speaker 1: and I kind of fumbled and then I sort of

1646
01:31:13,600 --> 01:31:17,960
Speaker 1: didn't really uh you know. I I didn't hit the accelerator,

1647
01:31:18,000 --> 01:31:19,400
Speaker 1: but I kind of my car kind of kept going

1648
01:31:19,400 --> 01:31:20,840
Speaker 1: a little bit and almost went into one of those

1649
01:31:21,040 --> 01:31:24,240
Speaker 1: vehicle barriers, and a guy with the you know, the

1650
01:31:24,560 --> 01:31:27,439
Speaker 1: standing there with the M four or whatever he was carrying,

1651
01:31:27,600 --> 01:31:29,880
Speaker 1: comes out and you know, you're okay, And I kind

1652
01:31:29,920 --> 01:31:31,760
Speaker 1: of stopped short and I'm like, yeah, yeah, I'm just

1653
01:31:32,360 --> 01:31:35,719
Speaker 1: just a superspy man, just got all these crazy, crazy

1654
01:31:35,800 --> 01:31:39,000
Speaker 1: skills like James Bond himself. I'm like the second coming

1655
01:31:39,080 --> 01:31:43,040
Speaker 1: of Jason Bourne. So anyway, Cee I was a very

1656
01:31:43,080 --> 01:31:46,599
Speaker 1: interesting place though, and it definitely informs your worldview being

1657
01:31:46,600 --> 01:31:47,720
Speaker 1: and though a lot I know a lot of you

1658
01:31:47,800 --> 01:31:52,880
Speaker 1: are former military or current military, and I'm sure some

1659
01:31:53,000 --> 01:31:55,280
Speaker 1: of you are intel officers currently either in the i

1660
01:31:55,439 --> 01:31:58,760
Speaker 1: C or in the military military branches of the IC.

1661
01:31:59,640 --> 01:32:04,000
Speaker 1: So it's, uh, it's an interesting, interesting perspective that you

1662
01:32:04,080 --> 01:32:07,679
Speaker 1: get from all of it because you're really often looking

1663
01:32:07,840 --> 01:32:10,560
Speaker 1: at what you're what the public is not supposed to

1664
01:32:10,640 --> 01:32:13,280
Speaker 1: know about, what different governments are doing and how they operate.

1665
01:32:13,400 --> 01:32:19,200
Speaker 1: And you develop a very realistic view of governments, foreign

1666
01:32:19,280 --> 01:32:22,360
Speaker 1: governments especially, and and then you start to get this

1667
01:32:22,520 --> 01:32:25,160
Speaker 1: weird feeling that creeps up in the back of your mind.

1668
01:32:25,240 --> 01:32:28,040
Speaker 1: Sometimes you start to think, yourself, wait a second, this

1669
01:32:28,320 --> 01:32:32,160
Speaker 1: this report that I'm reading about the shady back room

1670
01:32:32,520 --> 01:32:37,799
Speaker 1: dealings and the nepotism and all the other corrupt stuff

1671
01:32:37,880 --> 01:32:43,160
Speaker 1: that's happening in Dirk and Durkistan or wherever, it kind

1672
01:32:43,200 --> 01:32:45,240
Speaker 1: of sounds like some stuff that happens in this country.

1673
01:32:45,600 --> 01:32:48,160
Speaker 1: You know. That's that comes after for me. I think

1674
01:32:48,160 --> 01:32:51,240
Speaker 1: that started to happen maybe in year two. I would

1675
01:32:51,280 --> 01:32:55,240
Speaker 1: think to myself, we're so uh so quick to point

1676
01:32:55,280 --> 01:32:57,800
Speaker 1: out that look and look, it's not I'm not saying

1677
01:32:57,840 --> 01:32:59,960
Speaker 1: it's the same here as that ever, America's number one

1678
01:33:00,040 --> 01:33:02,200
Speaker 1: with the best. But it's just funny you read reports

1679
01:33:02,240 --> 01:33:04,200
Speaker 1: of how you get to see when you're in the

1680
01:33:04,280 --> 01:33:07,600
Speaker 1: agency how other governments really function, and you get to

1681
01:33:07,640 --> 01:33:10,639
Speaker 1: see them warts and all, and then in a very

1682
01:33:11,160 --> 01:33:14,519
Speaker 1: scale down, different, much less egregious version, you sort of

1683
01:33:14,560 --> 01:33:18,000
Speaker 1: see similar things playing out here. Sometimes it depends on

1684
01:33:18,040 --> 01:33:19,960
Speaker 1: which country we're talking about, right, I mean, some of

1685
01:33:20,000 --> 01:33:24,479
Speaker 1: them are crazy autocracies, are in the midst of some

1686
01:33:24,600 --> 01:33:27,800
Speaker 1: kind of a civil war or insurgency, or they've got

1687
01:33:27,880 --> 01:33:30,920
Speaker 1: geodist grabbing parts of the country, they've got separatist groups

1688
01:33:30,960 --> 01:33:34,200
Speaker 1: that are picking off whole parts of the country. Um.

1689
01:33:34,760 --> 01:33:37,920
Speaker 1: But it is a very very worthwhile experience to get

1690
01:33:38,000 --> 01:33:40,960
Speaker 1: that view of how those other countries function. And he

1691
01:33:41,000 --> 01:33:43,000
Speaker 1: started to draw I'm just saying, you draw parallels to

1692
01:33:43,080 --> 01:33:45,840
Speaker 1: what goes on here. Sometimes you go, oh, so that's

1693
01:33:45,960 --> 01:33:48,599
Speaker 1: that's the way that it is, um, and you begin

1694
01:33:48,680 --> 01:33:52,679
Speaker 1: to see more. I think it's a very useful context

1695
01:33:52,760 --> 01:33:56,479
Speaker 1: for understanding government and you see, it's it's just a

1696
01:33:56,520 --> 01:34:00,080
Speaker 1: lot of people. It's just people who have power to

1697
01:34:00,160 --> 01:34:03,000
Speaker 1: do certain things, but they have their own interests. They're

1698
01:34:03,040 --> 01:34:07,439
Speaker 1: pursuing their own their own agendas, their careers, and their

1699
01:34:07,640 --> 01:34:11,840
Speaker 1: personal flaws and foibles certainly come into play. So and

1700
01:34:12,040 --> 01:34:14,040
Speaker 1: I really I really liked being being in the c

1701
01:34:14,200 --> 01:34:15,519
Speaker 1: I I really enjoyed it. And I'll have to tell

1702
01:34:15,560 --> 01:34:18,000
Speaker 1: you about the m YPD in Telence Division. Maybe we'll

1703
01:34:18,000 --> 01:34:22,080
Speaker 1: do like Friday Friday story Friday Spy story time. I'll

1704
01:34:22,120 --> 01:34:24,640
Speaker 1: think of a way to get that going. Um, But

1705
01:34:24,800 --> 01:34:26,680
Speaker 1: we've also got a fantastic guest coming here in a

1706
01:34:26,720 --> 01:34:28,160
Speaker 1: few minutes. I, by the way, I've been meeting and

1707
01:34:28,160 --> 01:34:31,120
Speaker 1: talk to you about Afghanistan. We had a guest who's

1708
01:34:31,120 --> 01:34:33,640
Speaker 1: a good friend of mine, who's a combat veteran of Afghanistan.

1709
01:34:33,680 --> 01:34:35,360
Speaker 1: We're gonna come on and talk about what's happening there.

1710
01:34:35,800 --> 01:34:37,599
Speaker 1: Put a pin in that for next week. We'll get

1711
01:34:37,640 --> 01:34:40,320
Speaker 1: to Afghanistan next week and do a deep dive because

1712
01:34:41,120 --> 01:34:44,639
Speaker 1: media is not covering this at all, and that place

1713
01:34:45,040 --> 01:34:48,880
Speaker 1: is gonna fall apart very quickly if we don't pay

1714
01:34:48,920 --> 01:34:51,600
Speaker 1: attention and figure out a better policy there. That's at

1715
01:34:51,680 --> 01:34:54,040
Speaker 1: least my assessment. That's a short version of a much

1716
01:34:54,120 --> 01:34:57,479
Speaker 1: longer conversation. We're gonna have together eight four four n

1717
01:34:58,160 --> 01:35:01,280
Speaker 1: eight to five. You want to call in team and otherwise,

1718
01:35:01,760 --> 01:35:03,120
Speaker 1: got a lot more show for you, so we'll be

1719
01:35:03,200 --> 01:35:14,040
Speaker 1: back right after this break. Buck is back. Everybody bucks back.

1720
01:35:14,240 --> 01:35:17,240
Speaker 1: It's more of America. Now throw in your two cents

1721
01:35:17,560 --> 01:35:21,680
Speaker 1: one a four four nine hundred buck. That's one eight

1722
01:35:21,800 --> 01:35:27,599
Speaker 1: four four nine hundred to eight to five freestyff Friday

1723
01:35:27,640 --> 01:35:30,920
Speaker 1: continues here in the Freedom Hunt, my friends, we are

1724
01:35:30,960 --> 01:35:34,680
Speaker 1: gonna talk now about Willie mammoths. That's right, there's a

1725
01:35:34,800 --> 01:35:37,200
Speaker 1: story in the Telegraph in the UK that Willy mammots

1726
01:35:37,640 --> 01:35:40,839
Speaker 1: could be brought back from extinction within two years, according

1727
01:35:40,880 --> 01:35:44,760
Speaker 1: to a world renowned geneticist and his team at Harvard University. Well,

1728
01:35:44,800 --> 01:35:48,920
Speaker 1: we've got a fantastic world renowned geneticist of our own here,

1729
01:35:49,040 --> 01:35:53,360
Speaker 1: Professor David Sinclair's is at Harvard Medical School, co director

1730
01:35:53,479 --> 01:35:57,040
Speaker 1: of the Glenn Center for Aging Research, and Time Magazines

1731
01:35:57,120 --> 01:36:00,920
Speaker 1: list of the one hundred most fluential people in the world.

1732
01:36:02,280 --> 01:36:04,880
Speaker 1: Dr Sinclair, thank you so much for joining. Are you

1733
01:36:05,000 --> 01:36:08,200
Speaker 1: welcome back? Willie mammoths could make a comeback? Is this

1734
01:36:08,360 --> 01:36:10,960
Speaker 1: for real. This sounds like the plot of Jurassic Park.

1735
01:36:11,120 --> 01:36:15,519
Speaker 1: Kind of well, it's straight out of Jurassic Park. But

1736
01:36:16,120 --> 01:36:18,360
Speaker 1: the technology is getting pretty close to being able to

1737
01:36:18,439 --> 01:36:21,120
Speaker 1: do such a thing, if if someone would it choose

1738
01:36:21,160 --> 01:36:24,679
Speaker 1: to do that. As George Church, my colleague, has said

1739
01:36:24,720 --> 01:36:26,519
Speaker 1: that he's going to try, how would they do? Can

1740
01:36:26,560 --> 01:36:28,599
Speaker 1: you walk us through this in layman's terms? How would

1741
01:36:28,600 --> 01:36:34,400
Speaker 1: they make this happen? Well, Fortunately for the listeners, I'm

1742
01:36:34,479 --> 01:36:36,760
Speaker 1: helping George a little bit with this. He's just he

1743
01:36:36,800 --> 01:36:39,200
Speaker 1: has a lab just down the hole from me, so

1744
01:36:39,240 --> 01:36:42,920
Speaker 1: I'm pretty familiar with It's a it is amazing stuff,

1745
01:36:42,960 --> 01:36:46,280
Speaker 1: So just in it in a nutshell. What what they're

1746
01:36:46,479 --> 01:36:50,320
Speaker 1: trying to do is to have cell lines, so grow

1747
01:36:50,439 --> 01:36:54,760
Speaker 1: cells from from actually from an elephant, and once you've

1748
01:36:54,760 --> 01:36:58,600
Speaker 1: grown up those cells, you can change their genetics. You

1749
01:36:58,680 --> 01:37:01,519
Speaker 1: can go in with new techno ologies that George and

1750
01:37:01,600 --> 01:37:04,840
Speaker 1: others have invented to put in genes that we know

1751
01:37:05,200 --> 01:37:08,160
Speaker 1: once existed in the mammoth and change a few of

1752
01:37:08,240 --> 01:37:12,479
Speaker 1: those and make the the elephant a little bit more hairy,

1753
01:37:13,280 --> 01:37:15,720
Speaker 1: have blood that works in the cold, and then you

1754
01:37:15,760 --> 01:37:18,040
Speaker 1: can it's pretty easy to turn a cell line now

1755
01:37:18,200 --> 01:37:20,720
Speaker 1: a cell that you grow in the lab into an

1756
01:37:20,760 --> 01:37:23,960
Speaker 1: actual animal, and that would be phased two. And they

1757
01:37:24,040 --> 01:37:27,920
Speaker 1: have used DNA for mammoths that were preserved an Arctic

1758
01:37:28,040 --> 01:37:31,920
Speaker 1: permafrost to find some of these genes that separate willie

1759
01:37:31,960 --> 01:37:34,439
Speaker 1: mammoths from elephants, and they've been able to find some

1760
01:37:34,560 --> 01:37:39,519
Speaker 1: of this. Yeah, that's routine. Now people are getting DNA

1761
01:37:39,640 --> 01:37:42,880
Speaker 1: out of a lot of fossils as well, so that's

1762
01:37:43,040 --> 01:37:45,080
Speaker 1: that's not really the challenge. We We have the genome

1763
01:37:45,160 --> 01:37:47,519
Speaker 1: of the of the mammoth, most of it, and you

1764
01:37:47,600 --> 01:37:51,080
Speaker 1: can synthesize genes easily with the machine. Anybody could do

1765
01:37:51,120 --> 01:37:53,400
Speaker 1: to high school student could do it. Now, it's just

1766
01:37:53,439 --> 01:37:55,840
Speaker 1: a question of putting two and two together, and that's

1767
01:37:55,840 --> 01:37:57,720
Speaker 1: what George is trying. What are some of the other

1768
01:37:57,840 --> 01:38:01,719
Speaker 1: extinct species if I may ask that other than willy

1769
01:38:01,800 --> 01:38:03,720
Speaker 1: mammoths that they may have been, that they've been able

1770
01:38:03,760 --> 01:38:07,320
Speaker 1: to get or could theoretically get a genetic material from

1771
01:38:07,360 --> 01:38:09,840
Speaker 1: in order to do this splicing to bring back some

1772
01:38:09,920 --> 01:38:14,840
Speaker 1: of these traits. This is fascinating stuff. While they started out,

1773
01:38:15,200 --> 01:38:19,400
Speaker 1: scientists started finding frozen animals. So this is why the

1774
01:38:19,439 --> 01:38:21,479
Speaker 1: mammoth was pretty easy, because it wasn't even a fossil

1775
01:38:21,560 --> 01:38:24,320
Speaker 1: it's still straight out of your freezer in the perma frost.

1776
01:38:24,360 --> 01:38:26,560
Speaker 1: And there are other animals from the perma frost, the

1777
01:38:26,640 --> 01:38:29,519
Speaker 1: giant elk, that the one that's about three times bigger

1778
01:38:29,520 --> 01:38:33,040
Speaker 1: than the typical elks up there. They've all been done.

1779
01:38:33,640 --> 01:38:36,320
Speaker 1: And just recently I saw that scientists were able to

1780
01:38:36,400 --> 01:38:39,679
Speaker 1: pull not just some some DNA, but actually some protein

1781
01:38:39,760 --> 01:38:43,760
Speaker 1: out of fossils from dinosaurs. And so yeah, really it's

1782
01:38:44,000 --> 01:38:47,680
Speaker 1: it's not that difficult anymore. People are pulling bacteria out

1783
01:38:47,760 --> 01:38:52,040
Speaker 1: of million year old rocks now, so okay, if they

1784
01:38:52,120 --> 01:38:56,280
Speaker 1: can pull protein, you said, protein out of some some fossils,

1785
01:38:57,200 --> 01:39:00,559
Speaker 1: where does the whole Jurassic Park theory? And Michael Crichton

1786
01:39:00,640 --> 01:39:02,240
Speaker 1: was people a lot of people don't know this, which

1787
01:39:02,240 --> 01:39:04,280
Speaker 1: I was fine, amazing. Was a Harvard trained m d.

1788
01:39:05,120 --> 01:39:06,920
Speaker 1: So he was very helpful in a lot of his

1789
01:39:06,960 --> 01:39:10,320
Speaker 1: sciences sci fi writing. Where does that bring I mean,

1790
01:39:10,360 --> 01:39:12,760
Speaker 1: how far away already from doing something like that? Where

1791
01:39:12,880 --> 01:39:16,439
Speaker 1: where does that become purely science fiction and not in

1792
01:39:16,520 --> 01:39:18,639
Speaker 1: the realm of Well, maybe in twenty or thirty years

1793
01:39:18,720 --> 01:39:24,080
Speaker 1: we can do this. Well, the problem for George uh

1794
01:39:24,320 --> 01:39:26,839
Speaker 1: And and all of us who would would even contemplate

1795
01:39:26,880 --> 01:39:30,600
Speaker 1: such a thing. Is that it's currently very difficult to

1796
01:39:30,760 --> 01:39:34,880
Speaker 1: change large parts of the genome. So George likes to say,

1797
01:39:34,960 --> 01:39:37,920
Speaker 1: Professor Church likes to say that he can tweak a

1798
01:39:38,000 --> 01:39:40,160
Speaker 1: few genes. He can go in and he can at

1799
01:39:40,240 --> 01:39:43,320
Speaker 1: maybe five or six or one day maybe even eighty

1800
01:39:43,520 --> 01:39:45,479
Speaker 1: different genes. But that's not going to give you a

1801
01:39:45,520 --> 01:39:47,600
Speaker 1: whole holy memoth. It's going to give you and this

1802
01:39:47,760 --> 01:39:50,920
Speaker 1: is a quote from him, a an elephant that likes

1803
01:39:51,000 --> 01:39:53,799
Speaker 1: the cold, uh and and looks a little bit hairrier.

1804
01:39:53,920 --> 01:39:57,479
Speaker 1: But really to make it a new species or bring

1805
01:39:57,560 --> 01:40:01,439
Speaker 1: one back, it's extremely difficult. And less it's very related

1806
01:40:01,479 --> 01:40:04,519
Speaker 1: to a current species that we have, and we don't

1807
01:40:04,640 --> 01:40:08,000
Speaker 1: have very close species to even a dinosaur, with perhaps

1808
01:40:08,040 --> 01:40:11,760
Speaker 1: the exception of some some two legged birds. But to

1809
01:40:11,880 --> 01:40:13,680
Speaker 1: be able to get a dinosaur out of those you

1810
01:40:13,800 --> 01:40:16,639
Speaker 1: need to change. I see because I remember in Jurassic Park,

1811
01:40:17,040 --> 01:40:19,320
Speaker 1: the book, the way they got around this, and I

1812
01:40:19,400 --> 01:40:21,400
Speaker 1: understand this is science fiction, but what they said was

1813
01:40:21,680 --> 01:40:24,320
Speaker 1: we'll use they spliced in I think was frog d

1814
01:40:24,479 --> 01:40:26,120
Speaker 1: n A right, that was, and that's how they filled

1815
01:40:26,160 --> 01:40:28,639
Speaker 1: in these gaps. And two people who don't actually work

1816
01:40:28,720 --> 01:40:31,120
Speaker 1: on this stuff at at a world arounound level that

1817
01:40:31,200 --> 01:40:33,439
Speaker 1: sounds sensible enough, or you know, it sounds realistic enough

1818
01:40:33,560 --> 01:40:36,160
Speaker 1: that you can suspend disbelief and go forward. But I see,

1819
01:40:36,200 --> 01:40:39,439
Speaker 1: so you need to have a close living species now

1820
01:40:39,880 --> 01:40:41,800
Speaker 1: and then you can make modifications to it. So it's

1821
01:40:41,840 --> 01:40:44,000
Speaker 1: really not so much making a wooly mament. That's making

1822
01:40:44,040 --> 01:40:46,760
Speaker 1: a hairy elephant that is okay in cold weather. Yeah,

1823
01:40:46,960 --> 01:40:49,680
Speaker 1: that's right, okay. And I also want to ask you

1824
01:40:49,760 --> 01:40:53,040
Speaker 1: about this piece in Science magazine about the US panel

1825
01:40:53,120 --> 01:40:57,960
Speaker 1: giving a yellow light. It says, here to human embryo editing,

1826
01:40:58,000 --> 01:41:02,960
Speaker 1: where are we on this? Well that uh, yeah, that's

1827
01:41:03,080 --> 01:41:06,519
Speaker 1: a very touchy topic. I'm happy to to talk about it.

1828
01:41:06,640 --> 01:41:11,479
Speaker 1: The we're at a at a point in human history

1829
01:41:11,560 --> 01:41:16,759
Speaker 1: where it is scientifically feasible to correct a genetic disease

1830
01:41:17,439 --> 01:41:21,960
Speaker 1: in an egg or an embryo before it's born, whether

1831
01:41:22,040 --> 01:41:24,680
Speaker 1: it's an animal or a human being. Um, and now

1832
01:41:24,760 --> 01:41:27,600
Speaker 1: we're at the point whether we should do that. And

1833
01:41:28,280 --> 01:41:30,960
Speaker 1: it really it doesn't really come down to the technology,

1834
01:41:31,040 --> 01:41:33,519
Speaker 1: because we have the technology to do that. It's more

1835
01:41:33,560 --> 01:41:37,719
Speaker 1: about should we is it safe, is it morally correct?

1836
01:41:38,600 --> 01:41:41,439
Speaker 1: And will it benefit the world? I mean, for I

1837
01:41:41,560 --> 01:41:44,559
Speaker 1: have Celiac disease, which, as I understand it is genetic

1838
01:41:44,680 --> 01:41:46,439
Speaker 1: and it's just you have it, and you have it.

1839
01:41:46,920 --> 01:41:49,400
Speaker 1: If there if it was possible to medically determined that

1840
01:41:49,400 --> 01:41:51,080
Speaker 1: I'd have that beforehand and make sure that I didn't

1841
01:41:51,120 --> 01:41:52,600
Speaker 1: have it, I would raise my hand and be like,

1842
01:41:52,680 --> 01:41:54,679
Speaker 1: I would really rather not have that be the case.

1843
01:41:54,760 --> 01:41:57,519
Speaker 1: So they're they're looking to do things like that right

1844
01:41:57,560 --> 01:42:02,920
Speaker 1: to prevent congenital birth defects, present prevents, um inherited and

1845
01:42:03,040 --> 01:42:06,000
Speaker 1: genetic disease. My understanding, Doc, and I don't know much

1846
01:42:06,040 --> 01:42:08,120
Speaker 1: for the stuff other than just what I read in newspapers.

1847
01:42:08,160 --> 01:42:09,680
Speaker 1: I do read a lot of newspapers, but that's all

1848
01:42:09,680 --> 01:42:12,120
Speaker 1: that I really read in terms of science is that

1849
01:42:12,560 --> 01:42:17,240
Speaker 1: they're finding that there's the genetic blueprint for people or

1850
01:42:17,560 --> 01:42:20,560
Speaker 1: a lot of disease, more disease is inherited than was

1851
01:42:20,640 --> 01:42:23,400
Speaker 1: thought even a few decades ago. Is that Is that true?

1852
01:42:23,479 --> 01:42:27,439
Speaker 1: Or is that just my perception? Oh, it's it's definitely true.

1853
01:42:27,600 --> 01:42:30,240
Speaker 1: There's there's hundreds and hundreds of diseases now that we

1854
01:42:30,360 --> 01:42:35,760
Speaker 1: know have a genetic basis, and it's not difficult to

1855
01:42:35,920 --> 01:42:39,920
Speaker 1: actually find these mutations in the genes before a child

1856
01:42:40,040 --> 01:42:45,040
Speaker 1: is born. There that technology is already available. What's different

1857
01:42:45,160 --> 01:42:47,880
Speaker 1: now is that instead of just saying I want that

1858
01:42:48,000 --> 01:42:51,640
Speaker 1: embryo and not that one, we can actually take a

1859
01:42:51,720 --> 01:42:56,360
Speaker 1: defective egg or in embryo and and potentially fix the

1860
01:42:56,439 --> 01:43:00,519
Speaker 1: gene before it's born. Um, but what that raises courses?

1861
01:43:00,920 --> 01:43:04,840
Speaker 1: What's your definition of six? Do you prevent Huntington's or

1862
01:43:04,920 --> 01:43:07,800
Speaker 1: do you say I want my future child to never

1863
01:43:07,880 --> 01:43:10,600
Speaker 1: get heart disease and to be super intelligent because that

1864
01:43:10,720 --> 01:43:13,559
Speaker 1: one day should be possible. How far are we from

1865
01:43:13,840 --> 01:43:18,640
Speaker 1: making from being able to scientifically speaking, being able to

1866
01:43:20,520 --> 01:43:23,559
Speaker 1: change an embryo? So are sorry, change an egg before

1867
01:43:23,600 --> 01:43:27,479
Speaker 1: it's even fertilized, so that there would be those kinds

1868
01:43:27,520 --> 01:43:32,360
Speaker 1: of market genetic characteristics, you know, making much more difficult,

1869
01:43:32,400 --> 01:43:34,519
Speaker 1: for examplely get heart disease. I mean, my understanding is

1870
01:43:34,520 --> 01:43:36,880
Speaker 1: that once you get above age forty, there are really

1871
01:43:36,960 --> 01:43:40,360
Speaker 1: only a few diseases that you that are likely to

1872
01:43:40,560 --> 01:43:44,160
Speaker 1: be the ones that get you. It's cancer, heart disease, stroke,

1873
01:43:44,320 --> 01:43:45,920
Speaker 1: and I think there's a fourth one that I can't remember,

1874
01:43:45,960 --> 01:43:47,960
Speaker 1: but three of the four I just named, if you

1875
01:43:48,000 --> 01:43:50,439
Speaker 1: could make people much less susceptible to those, you'd probably

1876
01:43:50,560 --> 01:43:54,080
Speaker 1: extend a lot of individuals lives. I mean, how close

1877
01:43:54,120 --> 01:43:57,920
Speaker 1: are we to being able to do that? I think

1878
01:43:58,000 --> 01:44:02,720
Speaker 1: that's it's doable right now if I supposed to do it. Um,

1879
01:44:03,040 --> 01:44:05,600
Speaker 1: we can do it in animals already, and there's just

1880
01:44:05,720 --> 01:44:07,760
Speaker 1: in the last couple of years it's become possible with

1881
01:44:07,880 --> 01:44:12,000
Speaker 1: new genetic engineering technologies and so probably someone in the

1882
01:44:12,040 --> 01:44:15,000
Speaker 1: world will do it, And um, yes, we're in in

1883
01:44:15,080 --> 01:44:18,240
Speaker 1: a in a brave new world. Are we able to

1884
01:44:18,320 --> 01:44:23,160
Speaker 1: identify at this point what you mentioned? Uh? Intelligence? And

1885
01:44:23,240 --> 01:44:25,080
Speaker 1: I know that once you started getting into the genetics

1886
01:44:25,200 --> 01:44:28,040
Speaker 1: of intelligence, that's also a highly We're talking about a

1887
01:44:28,040 --> 01:44:30,720
Speaker 1: lot of hot button stuff here. That's a very highly

1888
01:44:31,280 --> 01:44:35,600
Speaker 1: politicized and people get very intense in their discussions of

1889
01:44:35,680 --> 01:44:38,479
Speaker 1: all of that. But is it possible to identify certain

1890
01:44:38,680 --> 01:44:44,120
Speaker 1: characteristics genetic characteristics in in in egg for example, that

1891
01:44:44,400 --> 01:44:46,759
Speaker 1: would bring about that at least have a greater likelihood

1892
01:44:46,760 --> 01:44:49,479
Speaker 1: of bringing about high level of intelligence. Are we already

1893
01:44:49,640 --> 01:44:52,200
Speaker 1: there with that or is that also a few years

1894
01:44:52,280 --> 01:44:57,280
Speaker 1: off if the research continues. Heart disease is doable, But

1895
01:44:57,760 --> 01:45:00,600
Speaker 1: in longevity even we we understand a lot about longevity

1896
01:45:00,680 --> 01:45:03,920
Speaker 1: and aging what controls that, But intelligence is the hardest

1897
01:45:04,240 --> 01:45:06,800
Speaker 1: not to crack. We don't have a good idea what

1898
01:45:06,960 --> 01:45:09,880
Speaker 1: the genes are for intelligence. There's some ideas. There's there's

1899
01:45:09,920 --> 01:45:14,200
Speaker 1: one that humans have and abundance of um fox say

1900
01:45:14,240 --> 01:45:16,559
Speaker 1: one it's called But you're right, it's still a few

1901
01:45:16,600 --> 01:45:21,160
Speaker 1: years away before that's doable. But this, this science is

1902
01:45:21,240 --> 01:45:24,160
Speaker 1: moving so quickly. But blue eyes, red hair and stuff

1903
01:45:24,200 --> 01:45:26,040
Speaker 1: like that. Can you already do that? If you were

1904
01:45:26,320 --> 01:45:27,920
Speaker 1: if it forget about the ethics of it. I just

1905
01:45:27,960 --> 01:45:31,360
Speaker 1: want to know scientifically they can already do that. Yeah, wow,

1906
01:45:31,880 --> 01:45:34,439
Speaker 1: that's pretty amazing. Let me ask you, doc before I

1907
01:45:34,520 --> 01:45:35,960
Speaker 1: let you go out. I really appreciate you giving us

1908
01:45:36,000 --> 01:45:38,280
Speaker 1: your time on a Friday and we're speaking to professor

1909
01:45:38,600 --> 01:45:40,920
Speaker 1: or sorry, we're speaking the doctor David Sinclair, who's a

1910
01:45:41,120 --> 01:45:43,360
Speaker 1: well he's a professor too at Harvard Medical School and

1911
01:45:43,400 --> 01:45:46,759
Speaker 1: his co director of the Glenn Center for Aging Research.

1912
01:45:46,880 --> 01:45:48,840
Speaker 1: What are we learning about agent? How are we learning

1913
01:45:48,880 --> 01:45:53,360
Speaker 1: to prevent some of the ill effects of aging? Well,

1914
01:45:53,800 --> 01:45:55,960
Speaker 1: we started out twenty years ago when I was a

1915
01:45:56,040 --> 01:45:59,160
Speaker 1: kid in a lab trying to figure out what makes

1916
01:46:00,040 --> 01:46:03,200
Speaker 1: little animals live longer, like worms and little fruit flies.

1917
01:46:03,800 --> 01:46:06,200
Speaker 1: We've come a long way to now where we know

1918
01:46:06,360 --> 01:46:10,679
Speaker 1: which genes in the human body contribute to longer life

1919
01:46:10,760 --> 01:46:13,599
Speaker 1: and staying disease free and staying out of nursing homes.

1920
01:46:14,000 --> 01:46:17,640
Speaker 1: And there is a big push in my field and

1921
01:46:17,760 --> 01:46:22,320
Speaker 1: myself included, to find medicines that people could start taking,

1922
01:46:22,520 --> 01:46:25,400
Speaker 1: say in their forties, to make sure that they don't

1923
01:46:25,439 --> 01:46:27,880
Speaker 1: get cancer or heart disease until much later in life,

1924
01:46:27,920 --> 01:46:32,519
Speaker 1: perhaps over the age of and where we found out,

1925
01:46:32,520 --> 01:46:35,760
Speaker 1: I mean, are we is that already happening? Well, there's

1926
01:46:35,760 --> 01:46:38,400
Speaker 1: a number of clinical trials. Um, there are drugs that

1927
01:46:38,479 --> 01:46:40,600
Speaker 1: are in development, have been in humans, seem to be

1928
01:46:40,680 --> 01:46:44,040
Speaker 1: safe and yes, so it's just around the corner to

1929
01:46:44,280 --> 01:46:48,120
Speaker 1: we think. All right, Dr David Sinclair of Harvard Medical School,

1930
01:46:48,760 --> 01:46:50,680
Speaker 1: thank you so much for joining us. Fascinating stuff. We

1931
01:46:50,760 --> 01:46:55,160
Speaker 1: really appreciate it. Are you welcome back? Team Freestyle Friday

1932
01:46:55,240 --> 01:46:58,280
Speaker 1: is always awesome, see what I'm saying, learning all kinds

1933
01:46:58,320 --> 01:47:00,760
Speaker 1: of interesting stuff. That was crazy. He's talking about Willie

1934
01:47:00,840 --> 01:47:03,080
Speaker 1: Emmett's I'm like, I did want to ask you when

1935
01:47:03,160 --> 01:47:05,080
Speaker 1: can we make the saber tooth Tiger come back? Because

1936
01:47:05,160 --> 01:47:06,960
Speaker 1: that was one of my favorites as a kid, but

1937
01:47:07,000 --> 01:47:09,120
Speaker 1: I didn't want to be that guy. Well, I guess

1938
01:47:09,160 --> 01:47:11,160
Speaker 1: I'm being that guy right now, All right, team we'll

1939
01:47:11,200 --> 01:47:14,000
Speaker 1: hit a break. Will be right back, team Buck. We've

1940
01:47:14,000 --> 01:47:15,960
Speaker 1: got a couple of calls coming and want to take him.

1941
01:47:16,280 --> 01:47:20,400
Speaker 1: Chris in Pennsylvania, w A E B. What's on your mind? Sir?

1942
01:47:22,479 --> 01:47:28,240
Speaker 1: Hey good, Hey, hey there, Hey, can you hear me? Yes, sir,

1943
01:47:28,400 --> 01:47:32,559
Speaker 1: we can all hear you. I'm sorry, I was shifting

1944
01:47:32,640 --> 01:47:35,439
Speaker 1: to my getting off my speaker phone because I know

1945
01:47:35,520 --> 01:47:38,640
Speaker 1: you guys don't like that. No, it's all good. I

1946
01:47:38,800 --> 01:47:41,720
Speaker 1: was calling to congratulate you on the new gig um.

1947
01:47:41,840 --> 01:47:45,520
Speaker 1: I I drive uber all the time, and uh, previously

1948
01:47:46,000 --> 01:47:48,439
Speaker 1: the spot, I was listening to Megan McCain and uh,

1949
01:47:49,280 --> 01:47:52,080
Speaker 1: and I just wanted to call and say congratulations on

1950
01:47:52,160 --> 01:47:54,080
Speaker 1: your new show. Thank you very much. How are you

1951
01:47:54,160 --> 01:47:57,439
Speaker 1: enjoying this the show so far? I hope, I love it.

1952
01:47:57,640 --> 01:48:00,240
Speaker 1: I love it. Um. I like to make it a lot.

1953
01:48:00,360 --> 01:48:03,040
Speaker 1: But she started to get a little um. She had

1954
01:48:03,080 --> 01:48:05,240
Speaker 1: a lot of liberal guests on, and I didn't really

1955
01:48:05,360 --> 01:48:09,519
Speaker 1: enjoy that all lot though, enjoying your Well, I can

1956
01:48:09,600 --> 01:48:11,240
Speaker 1: tell you this, you won't have a lot of liberal

1957
01:48:11,280 --> 01:48:14,160
Speaker 1: guests here. So that's that is that as one promise

1958
01:48:14,200 --> 01:48:15,760
Speaker 1: I can make to you and and all the other

1959
01:48:15,880 --> 01:48:18,080
Speaker 1: folks out there, not a lot of not that I

1960
01:48:18,120 --> 01:48:21,120
Speaker 1: wouldn't have them on, but they're very slow to talk

1961
01:48:21,160 --> 01:48:23,840
Speaker 1: to you. I'm so nice. But if they're wrong, I'll

1962
01:48:23,880 --> 01:48:25,840
Speaker 1: tell them and I'll win. So that's how it goes.

1963
01:48:26,200 --> 01:48:29,519
Speaker 1: Christ and Pennsylvania. Thank you very much for calling in Felix,

1964
01:48:29,640 --> 01:48:33,360
Speaker 1: also in Pennsylvania, also on W A. E. B. Yes, sir,

1965
01:48:34,640 --> 01:48:37,080
Speaker 1: hey buck, I got a dog story to tell you

1966
01:48:38,560 --> 01:48:41,200
Speaker 1: that my mother and my aunts had told. My parents

1967
01:48:41,280 --> 01:48:43,559
Speaker 1: actually both grew up in World War two Nazi Germany

1968
01:48:44,520 --> 01:48:47,760
Speaker 1: and where my mother grew up, where she lived, they

1969
01:48:47,800 --> 01:48:49,720
Speaker 1: were subject to the air raids, you know, to the

1970
01:48:50,040 --> 01:48:53,320
Speaker 1: Allied bombings. Okay, when they had this, uh, they had

1971
01:48:53,360 --> 01:48:56,559
Speaker 1: this little docks win and uh, one day the air

1972
01:48:56,640 --> 01:49:00,240
Speaker 1: raids sirens went off, so everyone went to go to

1973
01:49:00,320 --> 01:49:02,120
Speaker 1: the you know, the air raged shelter that the user

1974
01:49:02,200 --> 01:49:05,000
Speaker 1: went to. Well, the dog was there. It was balking

1975
01:49:05,520 --> 01:49:08,240
Speaker 1: and it was growling and biting at people not to

1976
01:49:08,360 --> 01:49:10,559
Speaker 1: let them near. And they said this was awfully strange.

1977
01:49:11,160 --> 01:49:13,680
Speaker 1: So they decided, okay, they went to a different one. Well,

1978
01:49:13,760 --> 01:49:16,519
Speaker 1: as it turned out, dad shelter took a direct hit

1979
01:49:16,600 --> 01:49:22,599
Speaker 1: and was completely destroyed. Wow, it's the dogs save their lives.

1980
01:49:23,880 --> 01:49:27,479
Speaker 1: The talks saved their lives. The psychic dog. That's that's amazing.

1981
01:49:27,960 --> 01:49:33,160
Speaker 1: Dogs do have senses and sensibilities and perceptive you know,

1982
01:49:33,280 --> 01:49:37,719
Speaker 1: perceptive uh skills that are you know that are specific

1983
01:49:37,800 --> 01:49:39,720
Speaker 1: to dogs. I mean you go back at all the

1984
01:49:39,800 --> 01:49:44,560
Speaker 1: research now shows that they the human canine relationship is

1985
01:49:44,640 --> 01:49:49,600
Speaker 1: the oldest of all human animals. Before we had animal husbandry,

1986
01:49:49,680 --> 01:49:52,840
Speaker 1: before you had cattle and horde, way before we were

1987
01:49:52,920 --> 01:49:56,559
Speaker 1: riding around on horses. Uh. We've had dogs back from

1988
01:49:56,600 --> 01:49:58,439
Speaker 1: when we were living in caves and hoping that a

1989
01:49:58,479 --> 01:50:00,479
Speaker 1: savor too tired and come eat it a little, A

1990
01:50:00,479 --> 01:50:03,280
Speaker 1: little canine friend would would bark, and they've been very useful.

1991
01:50:03,360 --> 01:50:08,479
Speaker 1: So dogs and humans have been a you know, a

1992
01:50:08,600 --> 01:50:11,679
Speaker 1: team stretching back for as long as well, even before

1993
01:50:11,720 --> 01:50:14,080
Speaker 1: there was written history, and as long as we've been

1994
01:50:14,120 --> 01:50:16,800
Speaker 1: able to trace back groups of hunter gatherers as I

1995
01:50:16,880 --> 01:50:20,160
Speaker 1: understand it, running around as people. So um, yeah, I know,

1996
01:50:20,439 --> 01:50:23,880
Speaker 1: I think, Uh, it's very interesting to see what dogs

1997
01:50:23,960 --> 01:50:28,040
Speaker 1: can pick up. I've even seen recently, Um, I've even

1998
01:50:28,080 --> 01:50:33,400
Speaker 1: seen recently that dogs are able to understand like two

1999
01:50:33,520 --> 01:50:38,120
Speaker 1: hundred words or something like that that they have a vocabulary. Yeah,

2000
01:50:38,360 --> 01:50:40,080
Speaker 1: I tell you what. I've always had dogs. I've had

2001
01:50:40,120 --> 01:50:42,840
Speaker 1: German Shepherds mostly, and now I have a Chocolate lib

2002
01:50:42,880 --> 01:50:46,080
Speaker 1: and a German Shepherd, and I mean they've just I

2003
01:50:46,240 --> 01:50:48,360
Speaker 1: love my dogs. As a matter of fact, me and

2004
01:50:48,439 --> 01:50:50,360
Speaker 1: my wife one time we did a little custody battle

2005
01:50:50,400 --> 01:50:52,559
Speaker 1: of one of our dogs and it's just for fun.

2006
01:50:53,080 --> 01:50:54,960
Speaker 1: And she was standing on one end of the room

2007
01:50:55,040 --> 01:50:57,000
Speaker 1: with a treat and I was standing on the other

2008
01:50:57,120 --> 01:50:59,080
Speaker 1: room without a treat, and the dog, of course chose

2009
01:50:59,160 --> 01:51:03,360
Speaker 1: to come to me. Oh that's how you guys. Just okay,

2010
01:51:04,040 --> 01:51:09,720
Speaker 1: all right, um, Felix, Okay, it was just it was

2011
01:51:09,760 --> 01:51:12,960
Speaker 1: just something just for fun, Okay, okay, it wasn't actually

2012
01:51:12,960 --> 01:51:15,400
Speaker 1: a custody battle. It's like it's like you're some people.

2013
01:51:15,560 --> 01:51:17,519
Speaker 1: It's like they're they're trying to decide who gets custody

2014
01:51:17,520 --> 01:51:19,519
Speaker 1: of their child, and the dog is a very important,

2015
01:51:20,960 --> 01:51:24,479
Speaker 1: very important family family member. Um, thank you for calling in, Felix.

2016
01:51:24,520 --> 01:51:27,919
Speaker 1: I appreciate it. Chills high. Yeah then you too, absolutely,

2017
01:51:27,960 --> 01:51:32,800
Speaker 1: thank you. Uh yeah, dogs. I remember I remember when

2018
01:51:32,880 --> 01:51:35,800
Speaker 1: I was applying to schools and I applied to one

2019
01:51:35,800 --> 01:51:38,200
Speaker 1: school in particular for college, and I didn't get in

2020
01:51:38,439 --> 01:51:44,799
Speaker 1: and I remember being so disappointed and the family Boston Terrier, Dixie,

2021
01:51:45,080 --> 01:51:48,679
Speaker 1: who was the cutest, most awesome little dog ever. Boston

2022
01:51:48,760 --> 01:51:52,280
Speaker 1: Chairs had become much more popular now as a breed,

2023
01:51:52,360 --> 01:51:54,639
Speaker 1: at least that you see them more in pop culture

2024
01:51:54,760 --> 01:51:56,800
Speaker 1: and ads, and when when I was growing up, we

2025
01:51:56,960 --> 01:51:58,400
Speaker 1: had a Boston Chair. I think she literally be about

2026
01:51:58,400 --> 01:52:02,600
Speaker 1: thirteen or fourteen years old. And I was I, you know,

2027
01:52:02,680 --> 01:52:04,280
Speaker 1: when you're in high school and you don't get into

2028
01:52:04,320 --> 01:52:05,720
Speaker 1: the you know, it's the first school of school I

2029
01:52:05,760 --> 01:52:06,880
Speaker 1: want to go to. We don't get to school you

2030
01:52:06,920 --> 01:52:10,720
Speaker 1: want to go to? Uh, really stings, and I will

2031
01:52:10,760 --> 01:52:12,600
Speaker 1: never forget. I was sitting there at the table and

2032
01:52:12,680 --> 01:52:15,759
Speaker 1: she came over and she had never done this before

2033
01:52:16,040 --> 01:52:19,600
Speaker 1: and never done it since she came over to me.

2034
01:52:19,720 --> 01:52:21,880
Speaker 1: I was sitting there. I just got in the rejection letter,

2035
01:52:21,960 --> 01:52:24,000
Speaker 1: the thank you so much for playing, but you know

2036
01:52:24,400 --> 01:52:29,680
Speaker 1: we blah blah, you stink uh no, no super you

2037
01:52:30,479 --> 01:52:33,920
Speaker 1: um and and the dog came up to me, Dixie.

2038
01:52:34,280 --> 01:52:38,080
Speaker 1: She came over and she wrapped herself, took her body

2039
01:52:38,160 --> 01:52:40,960
Speaker 1: and wrapped herself around my feet in like a horseshoe

2040
01:52:41,080 --> 01:52:44,120
Speaker 1: shape and just stayed there, just stayed there with me,

2041
01:52:44,720 --> 01:52:48,120
Speaker 1: keep my feet and my ankles warm. I've never seen

2042
01:52:48,160 --> 01:52:49,640
Speaker 1: her do it anyway, I've never seen her do it

2043
01:52:49,720 --> 01:52:51,639
Speaker 1: before then. She never did it to me after then,

2044
01:52:52,080 --> 01:52:55,240
Speaker 1: but she knew that. I was really bummed out and

2045
01:52:55,600 --> 01:52:57,000
Speaker 1: felt like the word you know now and not just

2046
01:52:57,120 --> 01:52:59,280
Speaker 1: like who cares you? In college, it's all the same,

2047
01:52:59,360 --> 01:53:02,519
Speaker 1: it's all over price four years nonsense, just a lot

2048
01:53:02,600 --> 01:53:04,560
Speaker 1: of drinking and socializing. I don't care where you go

2049
01:53:04,640 --> 01:53:07,680
Speaker 1: to school. Yeah, I'll say it. Um, we'll have to

2050
01:53:07,720 --> 01:53:10,920
Speaker 1: talk about college with other time. Everybody. Undergrad programs should

2051
01:53:10,960 --> 01:53:13,240
Speaker 1: be two years long. You should have to work before

2052
01:53:13,280 --> 01:53:14,760
Speaker 1: you go to college for at least a year or two,

2053
01:53:14,880 --> 01:53:17,439
Speaker 1: or serving the military or serve your country in some fashion.

2054
01:53:17,680 --> 01:53:19,120
Speaker 1: I know, I'm starting to go a hold, there's gonna

2055
01:53:19,120 --> 01:53:22,519
Speaker 1: be like ten seconds, everybody, Team Buck, have a fantastic weekend.

2056
01:53:23,080 --> 01:53:25,559
Speaker 1: Uh excited to join you all next week. Every day

2057
01:53:25,680 --> 01:53:26,880
Speaker 1: until then, She'll time