1
00:00:03,360 --> 00:00:14,920
Speaker 1: You are entering the freedom much. Why would the elites

2
00:00:15,000 --> 00:00:19,439
Speaker 1: want to cancel Abraham Lincoln Obama knew more about Russia

3
00:00:19,480 --> 00:00:23,560
Speaker 1: Gate than we were told. Conspiracy theorist Jennifer Granholm for

4
00:00:23,680 --> 00:00:27,400
Speaker 1: a Biden Energy secretary? And will there be a COVID

5
00:00:27,440 --> 00:00:32,760
Speaker 1: relief package? Buck Sexton coding the news and disseminating information

6
00:00:33,040 --> 00:00:39,120
Speaker 1: with actionable intelligence. Make no mistake America great, You're a

7
00:00:39,200 --> 00:00:43,880
Speaker 1: great American again. This is the Buck Sexton Show. Homeless

8
00:00:43,880 --> 00:00:47,720
Speaker 1: CIA analysts. I can speak to three hours without a

9
00:00:47,760 --> 00:00:52,680
Speaker 1: phone call. Try doing that sometime. No, Welcome to the

10
00:00:52,720 --> 00:00:55,360
Speaker 1: Buck Sexton Show. Friends, honored and privilege to have you

11
00:00:55,520 --> 00:00:58,680
Speaker 1: here with me. There are only a few names that

12
00:00:58,880 --> 00:01:01,040
Speaker 1: you can think of from a American history that we

13
00:01:01,120 --> 00:01:06,640
Speaker 1: are all supposed to that we all have some degree

14
00:01:07,480 --> 00:01:10,760
Speaker 1: of reverence for right that we're supposed to believe. No

15
00:01:10,920 --> 00:01:12,880
Speaker 1: matter who you are, where you come from this country,

16
00:01:12,880 --> 00:01:15,080
Speaker 1: you're supposed to think, well, that's a great man. There

17
00:01:15,120 --> 00:01:19,559
Speaker 1: are only a few names where that is the case.

18
00:01:20,600 --> 00:01:24,559
Speaker 1: And you can start with the founding fathers, the people

19
00:01:24,600 --> 00:01:29,600
Speaker 1: on Mount Rushmore, and you would add Martin Luther King Junior,

20
00:01:29,800 --> 00:01:32,160
Speaker 1: and you beat some people would add I don't know

21
00:01:32,440 --> 00:01:34,560
Speaker 1: you know, they're they're a handful of these names out

22
00:01:34,600 --> 00:01:37,800
Speaker 1: there that when someone says who's a great American and

23
00:01:37,880 --> 00:01:40,480
Speaker 1: we can all agree on it, there are only a

24
00:01:40,520 --> 00:01:43,760
Speaker 1: handful of names that come to mind, And for a

25
00:01:43,880 --> 00:01:47,120
Speaker 1: lot of people, they were at least under the impression

26
00:01:47,200 --> 00:01:51,280
Speaker 1: until recently that Abraham Lincoln was one of them, that

27
00:01:51,440 --> 00:01:55,280
Speaker 1: Abraham Lincoln would be free from cancel culture, that this

28
00:01:55,360 --> 00:01:57,640
Speaker 1: would be a guy that we could all agree did

29
00:01:57,760 --> 00:02:03,400
Speaker 1: something pretty extraordinary and wasn't perfect by any means, But

30
00:02:03,560 --> 00:02:05,640
Speaker 1: at the end of the day, he was on the

31
00:02:05,800 --> 00:02:10,040
Speaker 1: right side and was the commander in chief of a

32
00:02:10,200 --> 00:02:14,120
Speaker 1: military that ended slavery in the United States, and that's

33
00:02:14,120 --> 00:02:16,160
Speaker 1: a pretty remarkable thing. So we tend to give him

34
00:02:16,880 --> 00:02:18,480
Speaker 1: a lot of plaudits for this, and as we know,

35
00:02:18,520 --> 00:02:22,720
Speaker 1: he was assassinated afterwards for it. But Abraham Lincoln would

36
00:02:22,720 --> 00:02:24,720
Speaker 1: be one of those names where you'd say, well, the

37
00:02:24,880 --> 00:02:29,639
Speaker 1: greatness of what he accomplished with the ending of slavery,

38
00:02:30,760 --> 00:02:34,200
Speaker 1: the greatness that he accomplished with all of this, wouldn't

39
00:02:34,240 --> 00:02:37,239
Speaker 1: that then make him at least somewhat immune to these

40
00:02:37,320 --> 00:02:42,880
Speaker 1: efforts to destroy historical figures based upon some perception of

41
00:02:42,960 --> 00:02:45,919
Speaker 1: what they should be that's constantly changing and very new

42
00:02:46,080 --> 00:02:49,079
Speaker 1: to our current moment. But then I bring you the

43
00:02:49,280 --> 00:02:55,639
Speaker 1: modern American lib the left, the Democrats, and their wokeness,

44
00:02:56,040 --> 00:03:01,120
Speaker 1: their psychological disorder known as wokeness. We have yet another

45
00:03:01,240 --> 00:03:04,359
Speaker 1: example of just how far that will go. You have

46
00:03:04,480 --> 00:03:09,200
Speaker 1: Abraham Lincoln as a name that a San Francisco high

47
00:03:09,240 --> 00:03:12,640
Speaker 1: school board or some kind of a committee that's looking

48
00:03:12,680 --> 00:03:16,040
Speaker 1: to rename schools, and it's in San fran and they

49
00:03:16,160 --> 00:03:18,600
Speaker 1: want to get rid of Abraham Lincoln's name from a

50
00:03:18,600 --> 00:03:22,120
Speaker 1: school because he was I believe the quote is insufficiently

51
00:03:22,240 --> 00:03:27,880
Speaker 1: committed to black lives mattering or to the matter of

52
00:03:28,200 --> 00:03:31,760
Speaker 1: black lives. Now, for the man that ordered hundreds of

53
00:03:31,880 --> 00:03:39,160
Speaker 1: thousands of Americans to their deaths or to extreme pain, mutilation,

54
00:03:40,360 --> 00:03:43,440
Speaker 1: being wounded on the battlefield to end slavery, to say

55
00:03:43,520 --> 00:03:49,080
Speaker 1: that he was insufficiently committed to black lives mattering would

56
00:03:49,080 --> 00:03:52,480
Speaker 1: seem to be the height of insanity, and it is.

57
00:03:53,600 --> 00:03:56,160
Speaker 1: But there's a reason behind all of this. So we

58
00:03:56,240 --> 00:03:58,640
Speaker 1: need to start examining what's really going on in this

59
00:03:58,840 --> 00:04:01,840
Speaker 1: country because we're at this point where we're told that

60
00:04:01,880 --> 00:04:06,760
Speaker 1: the Democrats are calling for unity, that Joe Biden and

61
00:04:06,920 --> 00:04:10,880
Speaker 1: his would be cabinet. They're saying unify, and as we know,

62
00:04:11,040 --> 00:04:13,800
Speaker 1: unify really means bend the need of me. Do what

63
00:04:14,040 --> 00:04:17,520
Speaker 1: I say, and we'll call it unity. But while they're

64
00:04:17,560 --> 00:04:20,960
Speaker 1: calling for this, we also see time and again they

65
00:04:21,080 --> 00:04:27,840
Speaker 1: don't particularly have any sense of unity to America as

66
00:04:27,920 --> 00:04:32,240
Speaker 1: we know it. There's something very different going on. And

67
00:04:32,400 --> 00:04:37,760
Speaker 1: it usually is incremental that this happens. They start with

68
00:04:37,920 --> 00:04:40,600
Speaker 1: something where we say, okay, fine, you know, and this

69
00:04:40,800 --> 00:04:43,000
Speaker 1: is why when there was that old dust up about

70
00:04:43,480 --> 00:04:47,880
Speaker 1: about Confederate generals, I was saying, look, I'm I'm not

71
00:04:48,839 --> 00:04:53,520
Speaker 1: somebody that is going to carry any water for the

72
00:04:53,839 --> 00:04:56,960
Speaker 1: keep up some of these Confederate General's statute side of

73
00:04:57,040 --> 00:04:59,680
Speaker 1: this brief it's, you know, it's a community decision, a

74
00:04:59,720 --> 00:05:02,480
Speaker 1: commun unity standard. But understand this, they're coming for the

75
00:05:02,520 --> 00:05:06,720
Speaker 1: founding Father's next. In fact, Donald Trump said at the time,

76
00:05:07,680 --> 00:05:10,920
Speaker 1: well what about Jefferson? What about Washington area? Are they

77
00:05:10,960 --> 00:05:13,760
Speaker 1: going to tear down those statues? There is here in

78
00:05:13,839 --> 00:05:16,440
Speaker 1: New York City. I've seen this so many nights because

79
00:05:16,440 --> 00:05:19,920
Speaker 1: I go for walks sometimes right near what is known

80
00:05:19,960 --> 00:05:22,800
Speaker 1: as Columbus Circle, named for Christopher Columbus, is a very large,

81
00:05:22,920 --> 00:05:27,320
Speaker 1: very prominent statue of Christopher Columbus. There is an army

82
00:05:27,600 --> 00:05:32,320
Speaker 1: of NYPD officers that are deployed in a huge circle

83
00:05:32,480 --> 00:05:37,480
Speaker 1: with barricades, and they've got they've got all kinds of

84
00:05:37,720 --> 00:05:42,600
Speaker 1: additional e su and vehicles deployed. It's it's crazy. And

85
00:05:42,720 --> 00:05:45,000
Speaker 1: I've asked the cops. I've said, is this really because

86
00:05:45,200 --> 00:05:47,960
Speaker 1: you guys are worried that one night the radical left

87
00:05:48,080 --> 00:05:50,120
Speaker 1: is just going to show up and destroy this statue

88
00:05:50,120 --> 00:05:52,800
Speaker 1: of Christopher Columbus. And they said, yes, absolutely, that is

89
00:05:53,279 --> 00:05:56,200
Speaker 1: why we are deployed here. And this is in one

90
00:05:56,240 --> 00:05:59,280
Speaker 1: of the ritzier parts of New York City. It's outside

91
00:05:59,320 --> 00:06:03,360
Speaker 1: the Time Warner Center. So even Deblasio realizes this would

92
00:06:03,400 --> 00:06:06,760
Speaker 1: get some attention. But they say that Columbus was a

93
00:06:09,040 --> 00:06:13,760
Speaker 1: genocidal essentially a genocidal maniac who was engaged in the

94
00:06:13,880 --> 00:06:16,600
Speaker 1: exploitation of humanity and so on and so forth. They

95
00:06:16,680 --> 00:06:20,320
Speaker 1: don't care that we celebrate Columbus for discovering the New

96
00:06:20,360 --> 00:06:23,479
Speaker 1: World for Europe and the rest of the world. They

97
00:06:23,520 --> 00:06:27,840
Speaker 1: don't care about that. That's that's not enough. And as

98
00:06:27,839 --> 00:06:29,760
Speaker 1: we see with Abraham Lincoln, it's not enough that he

99
00:06:30,960 --> 00:06:33,960
Speaker 1: was the commander in chief and the president who led

100
00:06:34,040 --> 00:06:37,360
Speaker 1: us into war, a war that did end slavery in

101
00:06:37,480 --> 00:06:39,960
Speaker 1: this country, and that he called for the freeing of

102
00:06:40,160 --> 00:06:44,920
Speaker 1: the slaves during that war. What's really happening here? There

103
00:06:45,120 --> 00:06:49,360
Speaker 1: is an essay that I came across. I've never I've

104
00:06:49,360 --> 00:06:52,240
Speaker 1: never even heard of this publication before, and I haven't

105
00:06:52,279 --> 00:06:55,320
Speaker 1: heard of this author before. But I thought this essay

106
00:06:56,000 --> 00:07:02,040
Speaker 1: was extraordinary. And I read constantly of the commentary all

107
00:07:02,080 --> 00:07:05,080
Speaker 1: over the web, and I'm always looking to see who

108
00:07:05,279 --> 00:07:08,040
Speaker 1: who's worth reading because most of it, ninety percent of

109
00:07:08,080 --> 00:07:11,880
Speaker 1: what's published on the internet, even by so called conservatives

110
00:07:11,960 --> 00:07:14,720
Speaker 1: or whatever it is, really it's repetitive. It's an echo chamber.

111
00:07:14,800 --> 00:07:17,440
Speaker 1: It's just not worth spending much time on, at least

112
00:07:17,440 --> 00:07:20,640
Speaker 1: for me as someone who's reading this stuff all day long.

113
00:07:21,400 --> 00:07:25,560
Speaker 1: This was really good. It was at unheard dot com

114
00:07:26,200 --> 00:07:29,760
Speaker 1: and the author is Matthew Crawford, who is a fellow

115
00:07:29,840 --> 00:07:33,000
Speaker 1: at the Institute for Advanced Studies in Culture at the

116
00:07:33,160 --> 00:07:38,680
Speaker 1: University of Virginia. The title is How Race Politics Liberated

117
00:07:38,760 --> 00:07:46,120
Speaker 1: the Elites? And this is absolutely top notch analysis. It's

118
00:07:46,320 --> 00:07:50,120
Speaker 1: it's phenomenal. Really, it's a really really strong piece. And

119
00:07:50,320 --> 00:07:52,320
Speaker 1: here let me give you some of what we're talking

120
00:07:52,480 --> 00:07:57,720
Speaker 1: about here and why this I think defines our current

121
00:07:57,840 --> 00:08:01,920
Speaker 1: moment for the Democrat Party and for the left. The

122
00:08:02,120 --> 00:08:04,160
Speaker 1: idea of a common good this is a quote from

123
00:08:04,200 --> 00:08:06,920
Speaker 1: the piece, has given way to a partition of citizens

124
00:08:06,960 --> 00:08:10,520
Speaker 1: along the lines of a moral hierarchy. Instead of feeling

125
00:08:10,640 --> 00:08:13,960
Speaker 1: bound up in a shared fate with one's country a countryman,

126
00:08:14,600 --> 00:08:19,080
Speaker 1: one develops an alternate, alternate solidarity that is placeless. The

127
00:08:19,200 --> 00:08:23,720
Speaker 1: relatability across national borders that the genteel folk feel in

128
00:08:23,840 --> 00:08:28,600
Speaker 1: one another's company, the gracious ease and trust, the shared

129
00:08:28,680 --> 00:08:32,920
Speaker 1: points of reference in high prestige opinion has something to

130
00:08:33,000 --> 00:08:36,720
Speaker 1: do with their uniformly high standing in the moral hierarchy

131
00:08:36,800 --> 00:08:42,360
Speaker 1: that divides citizen from citizen within their own nations. The

132
00:08:42,520 --> 00:08:45,720
Speaker 1: decision making class has discovered that it enjoys the mandate

133
00:08:45,800 --> 00:08:50,800
Speaker 1: of Heaven, and with this comes certain permissions, certain exemptions

134
00:08:51,080 --> 00:08:58,559
Speaker 1: from democratic scruple. This is spot on, this is excellent.

135
00:08:58,800 --> 00:09:03,040
Speaker 1: He's talking about how in our country now, because America,

136
00:09:03,080 --> 00:09:05,679
Speaker 1: I mean, the short version of this is that because America,

137
00:09:06,160 --> 00:09:12,400
Speaker 1: according to the left now, is inherently racist and misogynist,

138
00:09:13,360 --> 00:09:16,719
Speaker 1: it gives the elites that gives this ruling class a

139
00:09:16,840 --> 00:09:23,319
Speaker 1: mentality that they owe no allegiance to that entity, to America,

140
00:09:23,960 --> 00:09:28,240
Speaker 1: at least to the idea, to the ideals of traditional America.

141
00:09:28,760 --> 00:09:33,079
Speaker 1: They have something better, they're working for something better, and

142
00:09:33,320 --> 00:09:36,880
Speaker 1: so there's no need for them to debase themselves by

143
00:09:36,960 --> 00:09:41,079
Speaker 1: pretending that our flag waving, jingo wistic we love the

144
00:09:41,160 --> 00:09:44,880
Speaker 1: founding Fathers and the Constitution nonsense, should in any way

145
00:09:45,559 --> 00:09:48,120
Speaker 1: slow their role. They get to do whatever they want.

146
00:09:49,040 --> 00:09:52,480
Speaker 1: They know better. You see, they're above it. But this

147
00:09:52,679 --> 00:09:54,840
Speaker 1: is a version of something I've said to you many

148
00:09:54,920 --> 00:09:59,160
Speaker 1: times before. There are those of us who take tremendous

149
00:09:59,280 --> 00:10:02,880
Speaker 1: pride being American, and then there are those of us

150
00:10:03,200 --> 00:10:06,320
Speaker 1: who take pride in believing we are better than America,

151
00:10:07,360 --> 00:10:11,240
Speaker 1: and those are called liberals. Those are leftists. That's what

152
00:10:11,520 --> 00:10:14,880
Speaker 1: they are. That's how they think. The reason that they're

153
00:10:14,960 --> 00:10:22,440
Speaker 1: constantly encouraging the most toxic identity politics, racial politics, gender politics,

154
00:10:22,640 --> 00:10:25,400
Speaker 1: the reason they do this is because they've adopted a

155
00:10:25,440 --> 00:10:30,920
Speaker 1: philosophy that America is actually bad, that there's this moral

156
00:10:31,160 --> 00:10:34,240
Speaker 1: rot at the center of this country. They've identified it.

157
00:10:34,480 --> 00:10:37,120
Speaker 1: It's almost like they stumbled upon some secret knowledge and

158
00:10:37,160 --> 00:10:40,600
Speaker 1: now they're spreading this great wisdom to all the rest

159
00:10:40,640 --> 00:10:44,080
Speaker 1: of us, and anyone who rejects this, anyone who sees

160
00:10:44,160 --> 00:10:49,080
Speaker 1: this for the intense hypocrisy that it is, is shouted down.

161
00:10:49,920 --> 00:10:54,800
Speaker 1: Part of the patriarchy, part of the racist, misogynistic system.

162
00:10:55,000 --> 00:10:57,719
Speaker 1: And also it gives the people at the top a

163
00:10:57,880 --> 00:11:01,079
Speaker 1: total pass for not working for what we think of

164
00:11:01,200 --> 00:11:04,520
Speaker 1: as the common good, not working for what we consider

165
00:11:04,600 --> 00:11:09,640
Speaker 1: to be universal American values. They can live their lives.

166
00:11:09,800 --> 00:11:12,880
Speaker 1: This is why they can fly on private jets to

167
00:11:13,080 --> 00:11:16,079
Speaker 1: climate change conferences where they're going to talk about how

168
00:11:16,280 --> 00:11:19,360
Speaker 1: you should be. You know, walking three miles or biking

169
00:11:19,440 --> 00:11:21,640
Speaker 1: ten miles to work every day can put all that

170
00:11:21,800 --> 00:11:24,640
Speaker 1: co two in the air. Well, they're above you, you see,

171
00:11:24,960 --> 00:11:28,920
Speaker 1: they're working for this better world, this better place. You

172
00:11:29,559 --> 00:11:34,360
Speaker 1: are part of this traditional America that's just so racist

173
00:11:34,480 --> 00:11:42,439
Speaker 1: and misogynistic and so awful. And so this goes way beyond,

174
00:11:42,760 --> 00:11:47,880
Speaker 1: even way beyond the usual liberal hypocrisy. This is a

175
00:11:48,000 --> 00:11:54,719
Speaker 1: kind of religion of elites excellence, and they are devotees

176
00:11:54,800 --> 00:11:57,080
Speaker 1: of it, and they also get to think of themselves

177
00:11:57,120 --> 00:12:00,880
Speaker 1: as great heroes for standing up for the pressed. I mean,

178
00:12:01,000 --> 00:12:03,520
Speaker 1: how many of you does this sound like your smug

179
00:12:03,640 --> 00:12:07,760
Speaker 1: neighbor who has a big Biden Harris sign in their yard, right,

180
00:12:07,800 --> 00:12:11,560
Speaker 1: don't they always think that they're somehow so morally enlightened,

181
00:12:11,640 --> 00:12:14,640
Speaker 1: even if their own personal choices are really crappy, and

182
00:12:14,760 --> 00:12:16,640
Speaker 1: even if they don't really care about other people or

183
00:12:16,679 --> 00:12:20,280
Speaker 1: help them very much. But they stand for equality. In fact,

184
00:12:20,360 --> 00:12:24,560
Speaker 1: these days they stand for equity the preferred term, which

185
00:12:24,640 --> 00:12:28,600
Speaker 1: is just the quality of outcome, which is Marxism. Back

186
00:12:28,720 --> 00:12:30,760
Speaker 1: into this piece for a second quote. In the Revolt

187
00:12:30,800 --> 00:12:33,439
Speaker 1: of the Elites, Christopher Lash spelled out in greater detail

188
00:12:34,040 --> 00:12:37,200
Speaker 1: the role that claims of racial and sexual oppression play

189
00:12:37,360 --> 00:12:41,000
Speaker 1: in securing release from allegiance to the nation, not just

190
00:12:41,200 --> 00:12:45,480
Speaker 1: for those who identify as its victims, but for those

191
00:12:45,559 --> 00:12:49,120
Speaker 1: with the moral sensitivity to see victimization where it may

192
00:12:49,200 --> 00:12:54,640
Speaker 1: not be apparent, and who make this capacity a touchstone

193
00:12:54,720 --> 00:12:58,400
Speaker 1: of their identity. It becomes a token of moral elevation

194
00:12:59,360 --> 00:13:02,520
Speaker 1: by which we recognize one another and distinguish ourselves from

195
00:13:02,559 --> 00:13:06,400
Speaker 1: the broader run of citizens. Both Lash and Hannah Arrant

196
00:13:06,960 --> 00:13:10,679
Speaker 1: argue that black Americans serve a crucial function for the

197
00:13:10,760 --> 00:13:16,240
Speaker 1: white bourgeoisie as the emblement proof of America's illegitimacy. They

198
00:13:16,400 --> 00:13:20,719
Speaker 1: anchor a politics of repudiation in which the idea of

199
00:13:20,800 --> 00:13:25,360
Speaker 1: a common good has little purchase, and quote saying all

200
00:13:25,440 --> 00:13:32,160
Speaker 1: those elitist, white, college educated liberal democrats out there, the

201
00:13:32,320 --> 00:13:36,319
Speaker 1: libs who are always talking about racism, they don't do

202
00:13:36,440 --> 00:13:39,839
Speaker 1: anything to solve racism. They don't spend any time in

203
00:13:40,000 --> 00:13:43,199
Speaker 1: black majority neighborhoods. They don't really know what's going on

204
00:13:43,360 --> 00:13:46,040
Speaker 1: within the black community. But they love pointing out the

205
00:13:46,240 --> 00:13:48,560
Speaker 1: racism all around them all the time, even where there's

206
00:13:48,559 --> 00:13:54,000
Speaker 1: no actual racism. Sometimes they do this because by demeaning

207
00:13:54,559 --> 00:13:59,880
Speaker 1: traditional America American values, by saying that this place is

208
00:14:00,240 --> 00:14:05,280
Speaker 1: racist and wrong and evil, they're not bound by the

209
00:14:05,520 --> 00:14:09,559
Speaker 1: generally held conceptions of what makes a good American citizen

210
00:14:09,640 --> 00:14:12,400
Speaker 1: these days, because they know better. They're above it, they're

211
00:14:12,440 --> 00:14:16,719
Speaker 1: elevated beyond it. Doesn't this all sound exactly like the

212
00:14:16,920 --> 00:14:20,600
Speaker 1: ethos the modern philosophy of a democrat. Don't you all

213
00:14:20,640 --> 00:14:23,480
Speaker 1: have friends that are just like this. They've never actually

214
00:14:23,920 --> 00:14:30,000
Speaker 1: been in a high crime, majority minority neighborhood for more

215
00:14:30,080 --> 00:14:32,480
Speaker 1: than a couple of hours or maybe driving through it.

216
00:14:32,840 --> 00:14:35,760
Speaker 1: But they want to give you lectures about BLM. That's right,

217
00:14:35,800 --> 00:14:38,840
Speaker 1: they want to lecture you about BLM from their million

218
00:14:38,920 --> 00:14:42,440
Speaker 1: dollar house in an all white suburb. These are the

219
00:14:42,560 --> 00:14:46,240
Speaker 1: kind of libs we're talking about here, the ones who

220
00:14:46,280 --> 00:14:51,480
Speaker 1: are frauds, the ones who are fakes. How do they

221
00:14:51,680 --> 00:14:54,560
Speaker 1: get away with this in their own minds? This is

222
00:14:54,640 --> 00:14:58,440
Speaker 1: how they don't take pride in being Americans. They think

223
00:14:58,520 --> 00:15:02,440
Speaker 1: they are better than America, they know better than America,

224
00:15:03,040 --> 00:15:05,640
Speaker 1: and they want to transform this place in this image.

225
00:15:05,800 --> 00:15:11,240
Speaker 1: And that's what we are facing now going forward. You're

226
00:15:11,320 --> 00:15:15,000
Speaker 1: in the Freedom This is the Buck Sex and Show podcast,

227
00:15:18,960 --> 00:15:23,040
Speaker 1: How Race Politics Liberated the Elites by Matthew Crawford. Unheard

228
00:15:23,120 --> 00:15:26,320
Speaker 1: dot Com is the site. And I just I thought

229
00:15:26,360 --> 00:15:28,760
Speaker 1: this was a fascinating analysis. And I like to give

230
00:15:28,840 --> 00:15:31,960
Speaker 1: people credit when they do something like this that really

231
00:15:32,000 --> 00:15:35,120
Speaker 1: advances the conversation. Other people just like to rip people

232
00:15:35,200 --> 00:15:37,720
Speaker 1: off and pretend it's there's no want. I want Matthew

233
00:15:37,760 --> 00:15:40,280
Speaker 1: Crawford to get the high five he deserves for this.

234
00:15:41,400 --> 00:15:44,200
Speaker 1: And he goes on, and I think we have to

235
00:15:44,240 --> 00:15:49,200
Speaker 1: remember there's a another way to prove this analysis or

236
00:15:49,280 --> 00:15:53,840
Speaker 1: this line of thinking, the legitimacy, the integrity of this

237
00:15:54,800 --> 00:15:59,040
Speaker 1: philosophical approach, because it's not only in America that this

238
00:15:59,160 --> 00:16:03,160
Speaker 1: actually has now spread. It's gone beyond American borders. So

239
00:16:03,280 --> 00:16:08,880
Speaker 1: you'd think that the left's unique revulsion at the longstanding

240
00:16:09,040 --> 00:16:13,520
Speaker 1: history of slavery in this country and then Jim Crow

241
00:16:13,720 --> 00:16:16,840
Speaker 1: and segregation, and you know, they say that they're they're

242
00:16:17,520 --> 00:16:20,440
Speaker 1: confronting that even today. That's what the left will tell you.

243
00:16:20,720 --> 00:16:26,120
Speaker 1: But yet there are BLM protests in London, in Paris,

244
00:16:26,280 --> 00:16:31,320
Speaker 1: in Germany. And the author points this out. This illegitimacy

245
00:16:32,120 --> 00:16:38,960
Speaker 1: transcends any particular historical facts about slavery and segregation, and

246
00:16:39,120 --> 00:16:42,760
Speaker 1: indeed transcends America, as one can surmise by the ease

247
00:16:42,920 --> 00:16:47,280
Speaker 1: with which American grievance politics have been exported throughout the

248
00:16:47,360 --> 00:16:51,800
Speaker 1: Western world. In this we sometimes see the use of

249
00:16:51,920 --> 00:16:57,560
Speaker 1: historical American references that have been weirdly transposed, as when

250
00:16:57,560 --> 00:17:00,760
Speaker 1: a house once lived in by Rosa Parks was relocated

251
00:17:00,840 --> 00:17:04,879
Speaker 1: from Detroit to Berlin, the financial seat of the European Union.

252
00:17:05,800 --> 00:17:08,760
Speaker 1: Under the Empire of Christendom, the market for material relics

253
00:17:08,800 --> 00:17:11,800
Speaker 1: from the Passion of the Christ was similarly global. They

254
00:17:11,920 --> 00:17:14,200
Speaker 1: left the Holy Land that ended up in various seats

255
00:17:14,240 --> 00:17:19,120
Speaker 1: of earthly power, most recently, the Transatlantic Festival of George

256
00:17:19,200 --> 00:17:22,600
Speaker 1: Floyd attests to the fact that it isn't simply America

257
00:17:22,720 --> 00:17:26,920
Speaker 1: that stands accused the social order is corrupt. Then the

258
00:17:27,080 --> 00:17:29,920
Speaker 1: labor movement once had an alternative order to offer in

259
00:17:30,000 --> 00:17:33,560
Speaker 1: its stead, drawing on the socialist tradition. It was one

260
00:17:33,600 --> 00:17:37,440
Speaker 1: that included African Americans, not as African Americans, but as workers,

261
00:17:37,880 --> 00:17:42,159
Speaker 1: and this movement was fairly successful. What happened then, The

262
00:17:42,280 --> 00:17:45,399
Speaker 1: prominence of the term repressed in the nineteen sixties is

263
00:17:45,480 --> 00:17:48,359
Speaker 1: significant and marks a shift into a new terrain of

264
00:17:48,440 --> 00:17:52,920
Speaker 1: psychologized politics. The object of attack for the new left

265
00:17:53,000 --> 00:17:56,280
Speaker 1: was no longer leis a fair capitalism, but society, the

266
00:17:56,400 --> 00:17:59,040
Speaker 1: Freudian super ego more or less, with its insistence on

267
00:17:59,160 --> 00:18:03,639
Speaker 1: standards of behavior that are binding on all society, is

268
00:18:03,680 --> 00:18:07,359
Speaker 1: to be taken as inherently oppressive and discredited in the

269
00:18:07,520 --> 00:18:15,080
Speaker 1: name of liberation. Effectively, America is so oppressive, racist, evil,

270
00:18:15,960 --> 00:18:20,040
Speaker 1: gender discriminatory. It's such a bad place that the left

271
00:18:20,080 --> 00:18:23,280
Speaker 1: can completely rewrite the rules of what we should be

272
00:18:23,320 --> 00:18:26,080
Speaker 1: trying to achieve in this country. And on a personal level,

273
00:18:26,359 --> 00:18:31,320
Speaker 1: they feel no particular allegiance to traditional America, and they

274
00:18:31,400 --> 00:18:34,840
Speaker 1: feel like their actions are always justified because they're working

275
00:18:34,960 --> 00:18:39,520
Speaker 1: for this greater idealized future. Isn't this every lib you know?

276
00:18:40,400 --> 00:18:44,600
Speaker 1: Isn't this every smug Biden voter you've come across in

277
00:18:44,640 --> 00:18:47,359
Speaker 1: the last year or so. I'm sure there are some exceptions,

278
00:18:47,440 --> 00:18:50,399
Speaker 1: but I'm betting it's most of them. Just to finish

279
00:18:50,440 --> 00:18:52,920
Speaker 1: this up quote, if the ideal of a demoralized public

280
00:18:52,960 --> 00:18:56,680
Speaker 1: sphere was a signature aspiration of liberal secularism, it seems

281
00:18:56,720 --> 00:19:00,440
Speaker 1: we have entered a post secular age populism, and because

282
00:19:00,480 --> 00:19:03,040
Speaker 1: it became widely noticed that we have transition from a

283
00:19:03,119 --> 00:19:08,320
Speaker 1: liberal society to something that more closely resembles a corrupt theocracy.

284
00:19:08,480 --> 00:19:12,640
Speaker 1: End quote. Yeah, this is the religion of the elites

285
00:19:12,840 --> 00:19:16,200
Speaker 1: we are talking about. Thanks for listening to the buses

286
00:19:16,320 --> 00:19:20,119
Speaker 1: and show posts. Remember to subscribe on Apple podcasts, the

287
00:19:20,200 --> 00:19:24,800
Speaker 1: iHeartRadio app, or wherever you get your podcasts. I've been

288
00:19:24,880 --> 00:19:30,080
Speaker 1: saying for four years now that it's a certainty that

289
00:19:30,200 --> 00:19:35,600
Speaker 1: Barack Obama, when he was president, knew that his administration

290
00:19:35,720 --> 00:19:41,399
Speaker 1: on the way out was running essentially a spying and

291
00:19:43,320 --> 00:19:49,280
Speaker 1: and disinformation campaign against the incoming Trump administration. It's obvious

292
00:19:49,400 --> 00:19:54,240
Speaker 1: there's no way that Komey and Brennan and Clapper and

293
00:19:54,600 --> 00:19:57,280
Speaker 1: go down the list there's no way that they would

294
00:19:57,280 --> 00:19:59,440
Speaker 1: have been able to that they would have felt comfortable

295
00:19:59,520 --> 00:20:04,160
Speaker 1: doing stuff if they didn't feel like ultimately they had

296
00:20:04,320 --> 00:20:07,240
Speaker 1: cover from Obama for it, that he had at least

297
00:20:07,280 --> 00:20:10,119
Speaker 1: been informed. And you'd say, well, how does that protect them?

298
00:20:10,280 --> 00:20:12,520
Speaker 1: They would say, they went through chain of command. This

299
00:20:12,720 --> 00:20:17,800
Speaker 1: is how bureaucracies avoid accountability. No one is ever really

300
00:20:17,880 --> 00:20:22,520
Speaker 1: accountable for anything because everyone's accountable for everything. That's the

301
00:20:22,600 --> 00:20:24,840
Speaker 1: way they do it. So they just say, well, I

302
00:20:25,200 --> 00:20:28,240
Speaker 1: didn't I approve this FISA, but somebody else wrote up

303
00:20:28,280 --> 00:20:31,399
Speaker 1: the FISA. Well I wrote up the FISA, but somebody

304
00:20:31,440 --> 00:20:33,760
Speaker 1: else provided the raw mature of the raw information I

305
00:20:33,880 --> 00:20:36,320
Speaker 1: used for the FISA. Well I approved it, but somebody

306
00:20:36,359 --> 00:20:38,280
Speaker 1: else was supposed to review it. Right, So no one

307
00:20:38,320 --> 00:20:42,439
Speaker 1: ever really gets nailed. But they all know what they're doing, right.

308
00:20:42,480 --> 00:20:46,600
Speaker 1: They're all part of what is almost like a federal

309
00:20:46,680 --> 00:20:51,639
Speaker 1: government racketeering operation. You know, that's what you see happening here,

310
00:20:51,640 --> 00:20:53,120
Speaker 1: they're all, they're all a part of it. You want

311
00:20:53,119 --> 00:20:56,200
Speaker 1: to bring like a Rico charge against them because it's

312
00:20:56,880 --> 00:21:01,600
Speaker 1: a multi layered conspiracy, and that is exactly what Russia

313
00:21:01,640 --> 00:21:05,160
Speaker 1: collusion was. And I understand right now, there's frustration because

314
00:21:05,200 --> 00:21:09,120
Speaker 1: the Durham probe has not resulted and even a report,

315
00:21:10,000 --> 00:21:11,520
Speaker 1: and I knew it wasn't going to happen on a

316
00:21:11,640 --> 00:21:16,000
Speaker 1: timeline for the election, because ultimately, guys like Durham, guys

317
00:21:16,080 --> 00:21:20,359
Speaker 1: like Bill Barr, they understand the politics involved here and

318
00:21:20,800 --> 00:21:24,440
Speaker 1: they're not they for whatever, for their own reasons, for

319
00:21:24,520 --> 00:21:27,840
Speaker 1: their own ethical choices and decisions, they will not bend

320
00:21:27,880 --> 00:21:29,879
Speaker 1: the rules to be more political. They won't do it.

321
00:21:31,320 --> 00:21:33,879
Speaker 1: They also maybe won't allow the other side to get

322
00:21:33,880 --> 00:21:37,080
Speaker 1: away with doing it, but they themselves will not, will

323
00:21:37,160 --> 00:21:39,680
Speaker 1: not bend the rules in order to score political points.

324
00:21:39,720 --> 00:21:42,000
Speaker 1: So they weren't going to accelerate the Durham probe, That's

325
00:21:42,040 --> 00:21:44,359
Speaker 1: what I'm telling you. But now it's been it's been

326
00:21:44,400 --> 00:21:47,840
Speaker 1: designated as a special counsel, and as we know, the

327
00:21:47,880 --> 00:21:50,639
Speaker 1: Democrats will just say, oh, who cares, We'll get rid

328
00:21:50,640 --> 00:21:54,240
Speaker 1: of that as soon as there's a Biden, a Biden presidency.

329
00:21:55,320 --> 00:21:57,239
Speaker 1: It will be more difficult, though, and it will give

330
00:21:57,320 --> 00:22:00,800
Speaker 1: us something to work with and perhaps even escalate to

331
00:22:00,880 --> 00:22:03,440
Speaker 1: where the Republicans are talking about impeachment. And I'm just

332
00:22:03,520 --> 00:22:06,280
Speaker 1: gonna say this, I believe in using all the tactics

333
00:22:06,400 --> 00:22:11,760
Speaker 1: and all the stratagems that the left engaged in against Trump.

334
00:22:11,840 --> 00:22:13,920
Speaker 1: I think that we should hold them to their standards

335
00:22:13,960 --> 00:22:17,879
Speaker 1: going forward, which means the bar for a Joe Biden,

336
00:22:18,240 --> 00:22:22,520
Speaker 1: Joe Biden presidency, for impeachment, for special counsel, it's very low,

337
00:22:23,520 --> 00:22:27,320
Speaker 1: very low. Take toll this with that phone call that

338
00:22:27,560 --> 00:22:31,480
Speaker 1: Trump had with his Ukrainian counterpart. If that can get

339
00:22:31,520 --> 00:22:34,080
Speaker 1: you impeach Joe Biden, better watch his step the moment

340
00:22:34,160 --> 00:22:36,720
Speaker 1: the Republicans take back the House majority, and I'm not

341
00:22:36,760 --> 00:22:38,160
Speaker 1: going to stand in their way. I'm gonna be cheering

342
00:22:38,160 --> 00:22:40,760
Speaker 1: them on, saying, Yep, let's go for it. What's good

343
00:22:40,800 --> 00:22:43,800
Speaker 1: for one side, good for the other. The only way

344
00:22:44,320 --> 00:22:47,520
Speaker 1: to make them think twice about the kinds of underhanded

345
00:22:47,560 --> 00:22:50,520
Speaker 1: tactics they use is to make them live by those tactics.

346
00:22:50,920 --> 00:22:54,600
Speaker 1: It's the only way. Now, let's get back to what

347
00:22:54,880 --> 00:22:59,520
Speaker 1: the former president Obama knew and hat tip Sean Davis

348
00:22:59,640 --> 00:23:03,480
Speaker 1: of the Federalist dot Com for this piece. D and

349
00:23:03,560 --> 00:23:07,920
Speaker 1: I declassifies handwritten notes from John Brennan twenty sixteen CI

350
00:23:08,119 --> 00:23:11,639
Speaker 1: referral on Clinton campaign's collusion operation. Here's what he writes.

351
00:23:11,800 --> 00:23:15,960
Speaker 1: Quote on Tuesday, Director of National Intelligence John Ratcliffe declassified

352
00:23:16,000 --> 00:23:19,240
Speaker 1: and released to Congress handwritten notes from CI director Brennan,

353
00:23:19,560 --> 00:23:22,560
Speaker 1: as well as a CIA investigative referral to James Coomey

354
00:23:22,680 --> 00:23:26,560
Speaker 1: and Peter Struck requesting that they investigate Russian knowledge of

355
00:23:26,640 --> 00:23:32,159
Speaker 1: Hillary Clinton's anti Trump collusion smear operation. He goes on

356
00:23:32,880 --> 00:23:36,159
Speaker 1: top US intelligence officials were so concerned heading into the

357
00:23:36,200 --> 00:23:39,720
Speaker 1: twenty sixteen election that the Russians were aware of and

358
00:23:39,880 --> 00:23:44,280
Speaker 1: potentially manipulating Democratic presidential candidate Hillary Clinton's plans to smear

359
00:23:44,359 --> 00:23:47,960
Speaker 1: Donald Trump as a Russian agent, that they personally briefed

360
00:23:48,000 --> 00:23:52,240
Speaker 1: President Barack Obama on the matter. Newly declassified Central Intelligence

361
00:23:52,240 --> 00:23:56,320
Speaker 1: Agency documents show CI officials also requested that the FBI

362
00:23:56,520 --> 00:24:02,440
Speaker 1: investigate Russian knowledge of the Clinton campaign's collus Lusian smear operation.

363
00:24:04,359 --> 00:24:07,280
Speaker 1: Newly declassified handwritten notes from the former CI director John

364
00:24:07,320 --> 00:24:10,760
Speaker 1: Brennan show the US intelligence community knew in twenty sixteen

365
00:24:10,760 --> 00:24:15,320
Speaker 1: that Russian intelligence was actively monitoring and potentially injecting disinformation

366
00:24:15,760 --> 00:24:19,760
Speaker 1: into Clinton's anti Trump collusion narrative. The intelligence concerning Russia's

367
00:24:19,800 --> 00:24:22,720
Speaker 1: knowledge of Clinton campaign plans was so concerning to Brennan

368
00:24:22,760 --> 00:24:27,480
Speaker 1: and other national security officials that they personally informed Obama

369
00:24:27,680 --> 00:24:30,520
Speaker 1: of the matter in the Oval office in the summer

370
00:24:30,600 --> 00:24:34,040
Speaker 1: of twenty sixteen. These are handwritten notes from CI director Brennan,

371
00:24:34,359 --> 00:24:38,040
Speaker 1: So they were telling the president then Barack Obama, they

372
00:24:38,119 --> 00:24:41,680
Speaker 1: were telling him, Yeah, there's Russian disinformation stuff going on here.

373
00:24:41,760 --> 00:24:44,520
Speaker 1: We got real concerns about this. But you know, maybe

374
00:24:44,560 --> 00:24:48,600
Speaker 1: we could also use this. Maybe we run with this. See,

375
00:24:48,640 --> 00:24:52,159
Speaker 1: that's what the decision was. This would be something like

376
00:24:52,440 --> 00:24:57,240
Speaker 1: if a person came in and said, you know, I know,

377
00:24:58,320 --> 00:25:04,080
Speaker 1: I know that you know, John my neighbor assassinated not

378
00:25:04,240 --> 00:25:08,639
Speaker 1: John Wilkes Booth, obviously, John my neighbor assassinated Abraham Lincoln.

379
00:25:09,200 --> 00:25:11,399
Speaker 1: I mean, you could walk into a into a police

380
00:25:11,400 --> 00:25:14,160
Speaker 1: station and you know, there's no statute of limitations on murder,

381
00:25:14,359 --> 00:25:18,040
Speaker 1: so you know, they would usually say, okay, let's a

382
00:25:18,200 --> 00:25:23,000
Speaker 1: normal reaction would be, let's take this person for psychological evaluation,

383
00:25:23,280 --> 00:25:24,800
Speaker 1: or maybe you just ignore them and say get out

384
00:25:24,840 --> 00:25:29,040
Speaker 1: of here, buddy. But it's not always the case that

385
00:25:29,119 --> 00:25:31,800
Speaker 1: people will act ethically when they're presented with information that

386
00:25:32,080 --> 00:25:36,639
Speaker 1: a normal analysis would tell them is absurd, and so

387
00:25:37,600 --> 00:25:41,040
Speaker 1: it also provides an opportunity for the unscrupulous. They can

388
00:25:41,400 --> 00:25:46,679
Speaker 1: use that as the basis for an investigation. That's exactly

389
00:25:47,240 --> 00:25:50,080
Speaker 1: what they did in Russia Gate. All this stuff was

390
00:25:50,119 --> 00:25:52,280
Speaker 1: being said, all these rumors, They had no real evidence

391
00:25:52,320 --> 00:25:56,119
Speaker 1: at all, and there was Russian disinformation out there, and

392
00:25:56,280 --> 00:25:58,560
Speaker 1: they figured, well, what if we just rely on the

393
00:25:58,640 --> 00:26:01,200
Speaker 1: Russian disinformation and pretend and that we believe it, and

394
00:26:01,359 --> 00:26:03,480
Speaker 1: maybe we do a little bit, but not really, but maybe,

395
00:26:04,240 --> 00:26:11,600
Speaker 1: and then we start monitoring, investigating spying on the Trump campaign. Right,

396
00:26:11,680 --> 00:26:13,480
Speaker 1: this would be like your neighbor John all of a

397
00:26:13,520 --> 00:26:17,000
Speaker 1: sudden has police officers banging on his doors saying, we

398
00:26:17,080 --> 00:26:19,159
Speaker 1: have a you know, we have a report that you

399
00:26:19,240 --> 00:26:23,719
Speaker 1: assassinated Abraham Lincoln. They could do that, right, I mean

400
00:26:23,760 --> 00:26:25,760
Speaker 1: they could say that. I mean maybe in that case

401
00:26:25,840 --> 00:26:28,159
Speaker 1: the case was never opened. It's not their jurisdiction, but

402
00:26:28,240 --> 00:26:29,760
Speaker 1: you get what I'm saying, right, I mean, you know

403
00:26:29,840 --> 00:26:33,840
Speaker 1: they could. They could come to you and if you

404
00:26:33,920 --> 00:26:37,040
Speaker 1: were accused of a murder in California when you were

405
00:26:37,080 --> 00:26:41,560
Speaker 1: actually in Omaha, Nebraska, and the police knew that they

406
00:26:41,600 --> 00:26:44,680
Speaker 1: could still continue the investigation of you, they could still say, well,

407
00:26:44,840 --> 00:26:48,119
Speaker 1: you know, it's not totally not totally proven yet, but

408
00:26:48,280 --> 00:26:53,159
Speaker 1: we rely at some level on good faith operations from

409
00:26:53,240 --> 00:26:56,040
Speaker 1: people who have this kind of power. If you're willing

410
00:26:56,119 --> 00:27:00,720
Speaker 1: to abuse good faith, you can find a justification to

411
00:27:00,840 --> 00:27:04,360
Speaker 1: investigate anyone you want for anything you want. That's exactly

412
00:27:04,920 --> 00:27:09,040
Speaker 1: what Obama and all the clowns around him did. Now

413
00:27:09,080 --> 00:27:14,520
Speaker 1: we know Obama knew about this, and Obama never spoke out.

414
00:27:15,200 --> 00:27:18,119
Speaker 1: He would have known that there was Russian disinformation, that

415
00:27:18,240 --> 00:27:20,840
Speaker 1: the Russians were actively trying to lie about Trump to

416
00:27:20,920 --> 00:27:23,960
Speaker 1: get this whole story of stealing the election and Trump

417
00:27:24,080 --> 00:27:26,440
Speaker 1: working with the Russians. He would have known that it

418
00:27:26,520 --> 00:27:30,240
Speaker 1: was all out there. Did he ever speak out about this? Obama, right,

419
00:27:30,320 --> 00:27:32,760
Speaker 1: the great patriot, the guy who loves the country so much.

420
00:27:33,040 --> 00:27:35,760
Speaker 1: I mean, if you read the reviews of his most

421
00:27:35,880 --> 00:27:39,080
Speaker 1: recent autobiography, because I think he's got four now, at

422
00:27:39,160 --> 00:27:44,640
Speaker 1: least three, you're either reviews. I've never seen such sycophantic

423
00:27:44,800 --> 00:27:49,359
Speaker 1: rantings from people who at least ostensibly make a living

424
00:27:50,400 --> 00:27:53,640
Speaker 1: from telling people important truths that they may not want

425
00:27:53,680 --> 00:27:56,000
Speaker 1: to hear in the media. Right, they don't really make

426
00:27:56,040 --> 00:27:59,640
Speaker 1: a living doing that, but that is what they say.

427
00:28:01,880 --> 00:28:04,560
Speaker 1: They love Obama in a way they've never loved any politician.

428
00:28:04,640 --> 00:28:08,240
Speaker 1: The Democrats and the mainstream Democrat Party and its elites

429
00:28:08,320 --> 00:28:13,040
Speaker 1: and intelligentsia think that Barack Obama is really above human

430
00:28:13,560 --> 00:28:15,920
Speaker 1: not quite a god, but not quite a human being either.

431
00:28:16,000 --> 00:28:19,600
Speaker 1: He's something even more special than that. And they were

432
00:28:19,680 --> 00:28:23,280
Speaker 1: never going to push him on. Why didn't you, out

433
00:28:23,280 --> 00:28:26,200
Speaker 1: of love for your country, come forward and say, hey, guys,

434
00:28:26,480 --> 00:28:28,840
Speaker 1: this stuff about Trump being a Russian trader, it really

435
00:28:29,040 --> 00:28:32,200
Speaker 1: is really not it's really not true. We should say,

436
00:28:32,200 --> 00:28:34,040
Speaker 1: there's a lot of other reasons that we as Democrats

437
00:28:34,119 --> 00:28:35,920
Speaker 1: don't like this guy. But that's not what No, of

438
00:28:35,960 --> 00:28:38,040
Speaker 1: course he was silent about it, pretend that he didn't

439
00:28:38,040 --> 00:28:41,560
Speaker 1: know anything about it. No, no, no, you know, it's

440
00:28:41,600 --> 00:28:44,680
Speaker 1: just the intelligence community. Man, there's no politics here. It's

441
00:28:44,680 --> 00:28:47,479
Speaker 1: just the ice doing what they do. That's what they

442
00:28:47,520 --> 00:28:51,440
Speaker 1: tell us, that's what they claim. It's all a lie.

443
00:28:53,720 --> 00:28:58,160
Speaker 1: We are heading into this period in American politics where

444
00:28:58,280 --> 00:29:02,240
Speaker 1: I think they hope, the left and the Democrats, hope

445
00:29:02,280 --> 00:29:05,960
Speaker 1: that they can bend us to their will about what

446
00:29:06,120 --> 00:29:10,760
Speaker 1: we even remember that the brainwashing will extend well beyond

447
00:29:10,960 --> 00:29:13,800
Speaker 1: their most ardent supporters to people who are just trying

448
00:29:13,840 --> 00:29:16,040
Speaker 1: to keep up with what's going on and they are

449
00:29:16,160 --> 00:29:18,800
Speaker 1: overwhelmed by the propaganda machine. So let me just tell

450
00:29:18,840 --> 00:29:21,320
Speaker 1: you right now. Let's get this for our purposes on

451
00:29:21,400 --> 00:29:25,400
Speaker 1: the record so we can remember this. Barack Obama knew

452
00:29:25,440 --> 00:29:30,400
Speaker 1: about the Russia collusion smear against Trump, almost certainly ordered

453
00:29:30,440 --> 00:29:33,800
Speaker 1: it to escalate. He definitely knew about it, and he

454
00:29:33,960 --> 00:29:41,360
Speaker 1: did nothing to stop it. As completely unethical political assassin.

455
00:29:41,560 --> 00:29:45,600
Speaker 1: Democrats went after the Trump administration with this lie for years.

456
00:29:46,720 --> 00:29:51,800
Speaker 1: It is the worst political scandal of my lifetime. It's

457
00:29:51,800 --> 00:29:55,800
Speaker 1: a disgrace. And all this stuff about respect our democracy

458
00:29:55,880 --> 00:29:57,840
Speaker 1: and give up Trump and all this other stuff is

459
00:29:57,880 --> 00:30:00,720
Speaker 1: coming from people who do not give a crap about

460
00:30:00,760 --> 00:30:06,600
Speaker 1: the ideals or the rules or the aspirations enshrined in

461
00:30:06,640 --> 00:30:10,520
Speaker 1: the Constitution and in the history of this republic. They

462
00:30:10,560 --> 00:30:13,040
Speaker 1: could care less about any of that. They're raw exercise

463
00:30:13,080 --> 00:30:16,840
Speaker 1: of power. Me me, me, I want mine. I'm right,

464
00:30:17,040 --> 00:30:19,880
Speaker 1: I'm a lib You be quiet. The media agrees with me.

465
00:30:20,320 --> 00:30:23,280
Speaker 1: That is how they view all of this, So get

466
00:30:23,360 --> 00:30:27,240
Speaker 1: ready for that going forward. Don't expect any good faith

467
00:30:27,320 --> 00:30:31,160
Speaker 1: operations from their side. They feel like they largely got

468
00:30:31,200 --> 00:30:34,640
Speaker 1: away with this, which means they'll try similar stuff in

469
00:30:34,680 --> 00:30:36,800
Speaker 1: the future. And the only way that we can push

470
00:30:36,880 --> 00:30:40,840
Speaker 1: back is by shouting the truth in their faces and

471
00:30:41,000 --> 00:30:44,120
Speaker 1: refusing to bend when they try to coerce us with

472
00:30:44,240 --> 00:30:49,880
Speaker 1: even more lies. You're in the freedom hunt. This is

473
00:30:49,960 --> 00:30:56,120
Speaker 1: the buck Sex and Show podcast hasn't been talking here.

474
00:30:56,120 --> 00:30:58,200
Speaker 1: It's hardly a profile. Encourage from McConnell come out and

475
00:30:58,240 --> 00:31:00,840
Speaker 1: say this. Now, his delay has had a real world

476
00:31:01,000 --> 00:31:05,120
Speaker 1: impact and been physically dangerous for some people around the country,

477
00:31:05,160 --> 00:31:07,440
Speaker 1: which we'll talk about over the course of this broadcast.

478
00:31:08,560 --> 00:31:11,880
Speaker 1: What what's seeing it? What kind of craziness is se

479
00:31:11,960 --> 00:31:15,160
Speaker 1: Ann saying? Now that's been physically dangerous. Let's go ahead.

480
00:31:15,200 --> 00:31:17,680
Speaker 1: That is physically dangerous. The people have for maccado to

481
00:31:17,760 --> 00:31:22,400
Speaker 1: det No, it's not. The guy hadn't been declared the

482
00:31:22,440 --> 00:31:25,880
Speaker 1: president by the Electoral College. That's when he's the president elect.

483
00:31:26,640 --> 00:31:28,240
Speaker 1: You know what's next, The meeting's going to say you

484
00:31:28,280 --> 00:31:30,760
Speaker 1: have to declare the winner of the presidency before the

485
00:31:30,840 --> 00:31:33,280
Speaker 1: actual election happens. Look at the polls, man, look at

486
00:31:33,320 --> 00:31:35,200
Speaker 1: the polls. Well, that's not how it works, is it.

487
00:31:35,440 --> 00:31:38,160
Speaker 1: As we know, you better not trust those polls. Just

488
00:31:38,360 --> 00:31:41,440
Speaker 1: remember this. Look at look at just a series of

489
00:31:41,560 --> 00:31:46,600
Speaker 1: issues from from recent times, whether it is on this

490
00:31:46,800 --> 00:31:52,400
Speaker 1: election or it's on the BLM movement, the renaming of statues,

491
00:31:53,840 --> 00:31:57,880
Speaker 1: police reform, all of these issues. The people that try

492
00:31:57,960 --> 00:32:00,200
Speaker 1: to try to bend the knee to the lad in

493
00:32:00,240 --> 00:32:02,200
Speaker 1: the hope that this will bring them closer to our

494
00:32:02,280 --> 00:32:06,000
Speaker 1: side and will open dialogue, and the Democrats will all

495
00:32:06,000 --> 00:32:10,600
Speaker 1: of a sudden respond in good faith. They're always disappointed

496
00:32:11,480 --> 00:32:16,040
Speaker 1: because when they're making outlandish demands or they're they're basing

497
00:32:16,080 --> 00:32:21,760
Speaker 1: their whole argument in lies, in misrepresentations, and you say, okay, okay,

498
00:32:21,840 --> 00:32:23,840
Speaker 1: but they're so angry about this, fine, we'll give them.

499
00:32:23,920 --> 00:32:26,560
Speaker 1: It's like it's like giving a child throwing a tantrum

500
00:32:26,640 --> 00:32:29,920
Speaker 1: what he wants. It's not going to get better now

501
00:32:30,000 --> 00:32:33,520
Speaker 1: they know, Oh, okay, so we just we just throw

502
00:32:33,560 --> 00:32:39,000
Speaker 1: another tantrum. Great, Okay, we can do that again. This

503
00:32:39,320 --> 00:32:41,560
Speaker 1: is the only way you can deal with the left.

504
00:32:41,960 --> 00:32:46,480
Speaker 1: You make overtures to the Democrats when it is in

505
00:32:46,640 --> 00:32:50,360
Speaker 1: our interests and within our principles, and when it shows

506
00:32:50,960 --> 00:32:53,960
Speaker 1: good faith from their side. That's it. You don't do

507
00:32:54,080 --> 00:32:58,080
Speaker 1: it because you hope they'll be less crazy once you've

508
00:32:58,160 --> 00:33:00,760
Speaker 1: given them something they want. That never works. Oh, you're

509
00:33:00,840 --> 00:33:03,880
Speaker 1: just encouraging the encouraging the monster. That's all you're doing,

510
00:33:05,000 --> 00:33:08,480
Speaker 1: all right, Mitch, McConnell said, calls Biden president elect the

511
00:33:08,680 --> 00:33:13,720
Speaker 1: day of the Electoral College vote being held. Do they say,

512
00:33:14,080 --> 00:33:15,920
Speaker 1: all right, good for Mitch McConnell that, you know, No,

513
00:33:16,040 --> 00:33:18,440
Speaker 1: of course not. They hate Mitch McConnell, They hate the Republicans.

514
00:33:20,120 --> 00:33:22,400
Speaker 1: It's hardly a pro valid courage. And people are data.

515
00:33:22,640 --> 00:33:24,760
Speaker 1: I know Stelter and Berman apparently sound the same, but

516
00:33:24,800 --> 00:33:27,160
Speaker 1: they do kind of sound the same. Hire the a

517
00:33:27,200 --> 00:33:30,520
Speaker 1: pervalid courage. What was he supposed to do? Why call

518
00:33:30,600 --> 00:33:33,920
Speaker 1: him president elect Biden before he's actually formerly the president elect?

519
00:33:34,200 --> 00:33:36,800
Speaker 1: This is a United States senator. There were legal challenge

520
00:33:36,840 --> 00:33:38,960
Speaker 1: making their way through the court. There still are legal

521
00:33:39,080 --> 00:33:43,560
Speaker 1: challenges making their way through the courts. But you see,

522
00:33:43,560 --> 00:33:48,040
Speaker 1: it's it's not enough. They tell you right now, admit

523
00:33:48,160 --> 00:33:50,520
Speaker 1: that they're just say Biden is a president and tell

524
00:33:50,600 --> 00:33:53,200
Speaker 1: us that there was no fraud. We can all be friends.

525
00:33:53,320 --> 00:33:55,520
Speaker 1: Just say that there wasn't fraud and that Biden really

526
00:33:55,600 --> 00:33:59,840
Speaker 1: won one, fair and square, no cheating whatsoever. Will like you,

527
00:34:00,080 --> 00:34:05,120
Speaker 1: then I guarantee you if you do that, if you

528
00:34:05,200 --> 00:34:08,120
Speaker 1: were to profess to you know, your co workers, or

529
00:34:08,160 --> 00:34:10,120
Speaker 1: if you were to say online and someone you're having

530
00:34:10,160 --> 00:34:12,080
Speaker 1: a debate over politics, or if you know what, you're right.

531
00:34:13,040 --> 00:34:16,040
Speaker 1: Biden didn't that. There wasn't cheating to help him win.

532
00:34:16,120 --> 00:34:19,839
Speaker 1: There was no frall. This was totally fair. And they'll say,

533
00:34:19,880 --> 00:34:24,160
Speaker 1: ha ha, you lost, you suck, it's all. It's all

534
00:34:24,239 --> 00:34:27,200
Speaker 1: over for you. You you know, you dumb trumper. Like

535
00:34:27,280 --> 00:34:31,320
Speaker 1: they don't. They don't want to be fair minded to

536
00:34:31,360 --> 00:34:34,480
Speaker 1: you at all. So when they pretend that that's where

537
00:34:34,520 --> 00:34:38,480
Speaker 1: this is coming from, it's a trap. It's a trap.

538
00:34:39,239 --> 00:34:41,400
Speaker 1: It's the guy who you walk past on the street.

539
00:34:41,440 --> 00:34:44,399
Speaker 1: It says, hey, madam, I'm having a really hard time here,

540
00:34:44,440 --> 00:34:46,239
Speaker 1: and you know, I just I just could you, I

541
00:34:46,360 --> 00:34:47,919
Speaker 1: just can you? Can you just give me a dollar?

542
00:34:48,160 --> 00:34:50,560
Speaker 1: I swear, I just I need a dollar for bus fare,

543
00:34:51,160 --> 00:34:53,920
Speaker 1: and you know then I'll be fine. And you say

544
00:34:54,000 --> 00:34:55,279
Speaker 1: all right, buddy, and you go for your wallet and

545
00:34:55,280 --> 00:34:56,560
Speaker 1: he goes no, and he pulls out a knife and

546
00:34:56,560 --> 00:34:58,359
Speaker 1: he says, I'll just take your wallet, thanks so much.

547
00:34:58,960 --> 00:35:02,440
Speaker 1: That's how the Democrat play this game. Do not forget it.

548
00:35:03,280 --> 00:35:07,239
Speaker 1: But also don't forget that Trump's not going anywhere either way.

549
00:35:08,280 --> 00:35:10,520
Speaker 1: They're starting to realize it's what two even Romney knows

550
00:35:10,560 --> 00:35:14,120
Speaker 1: at play eighteen. Well, I think President Trump will continue

551
00:35:14,160 --> 00:35:16,560
Speaker 1: to have substantial influence on the party. And I think

552
00:35:16,600 --> 00:35:18,400
Speaker 1: if you look at the people who are rumored to

553
00:35:18,480 --> 00:35:22,600
Speaker 1: be thinking of running in twenty twenty four, besides the president,

554
00:35:23,520 --> 00:35:26,359
Speaker 1: those are people who are trying to appeal to kind

555
00:35:26,360 --> 00:35:29,800
Speaker 1: of a populist approach. So I don't think Trump is

556
00:35:29,840 --> 00:35:32,719
Speaker 1: um is going away, but I hope that we can

557
00:35:32,840 --> 00:35:36,000
Speaker 1: have disagreements over policy and a vision of our respective

558
00:35:36,040 --> 00:35:41,560
Speaker 1: parties without continue to promote a narrative which puts democracy

559
00:35:41,680 --> 00:35:45,160
Speaker 1: itself in jeopardy. And when you tell people that voting

560
00:35:45,360 --> 00:35:48,480
Speaker 1: doesn't work and that democracy can't work because we don't

561
00:35:48,520 --> 00:35:52,120
Speaker 1: have legitimate elections, that's a very dangerous thing to be saying.

562
00:35:52,480 --> 00:35:55,200
Speaker 1: No one says that democracy doesn't work. I mean, now

563
00:35:55,239 --> 00:35:58,680
Speaker 1: he's just creating straw men. We're saying that when Democrats

564
00:35:58,880 --> 00:36:02,320
Speaker 1: change major rules than an election to create mail and balloting,

565
00:36:02,360 --> 00:36:04,880
Speaker 1: which are which leaves the door wide open for fraud.

566
00:36:05,640 --> 00:36:07,520
Speaker 1: And then there's all these really sketchy numbers and all

567
00:36:07,520 --> 00:36:11,560
Speaker 1: these affidavits. We got questions and we want answers. Oh,

568
00:36:11,680 --> 00:36:15,400
Speaker 1: but why are you threatening our democracy? Democrats? We're arguing

569
00:36:15,520 --> 00:36:18,560
Speaker 1: for faithless electors in twenty sixteen. Do you remember that

570
00:36:18,640 --> 00:36:21,880
Speaker 1: the Democrats were arguing for the election to be nullified

571
00:36:21,920 --> 00:36:25,760
Speaker 1: in twenty sixteen. Thanks for listening to the Bus Sesson

572
00:36:25,800 --> 00:36:30,560
Speaker 1: Show podcasts. Remember to subscribe on Apple podcasts, the iHeartRadio app,

573
00:36:30,760 --> 00:36:35,360
Speaker 1: or wherever you get your podcasts. Just for your viewers

574
00:36:35,400 --> 00:36:38,279
Speaker 1: out there. I know one of the ind officials who

575
00:36:38,440 --> 00:36:40,759
Speaker 1: we just saw get vaccinated is planning on traveling after

576
00:36:40,840 --> 00:36:45,000
Speaker 1: the second dose. This is a source of confusion. But no,

577
00:36:45,840 --> 00:36:47,719
Speaker 1: this is one of the misperceptions here. Just because you

578
00:36:47,800 --> 00:36:51,400
Speaker 1: get vaccinated with that second dose does not mean you

579
00:36:51,440 --> 00:36:54,279
Speaker 1: should be participating in things like traveling in the middle

580
00:36:54,280 --> 00:36:57,440
Speaker 1: of an outive control pandemic, or that you're liberated from masks.

581
00:36:57,880 --> 00:37:01,560
Speaker 1: Everything still applies until all of us get the two

582
00:37:01,640 --> 00:37:03,799
Speaker 1: dose regiment, and we don't think that's going to happen

583
00:37:03,880 --> 00:37:06,440
Speaker 1: until June July. But and again this goes back to

584
00:37:06,480 --> 00:37:08,960
Speaker 1: what we just talked about, Chuck. We don't know if

585
00:37:09,400 --> 00:37:12,920
Speaker 1: just getting the vaccination prevents serious illness or does it

586
00:37:12,960 --> 00:37:17,040
Speaker 1: also prevent you from getting infection entirely, meaning you can

587
00:37:17,040 --> 00:37:19,480
Speaker 1: still get infected with the virus potentially and pass it

588
00:37:19,560 --> 00:37:23,319
Speaker 1: on to others. So really, really critical, don't let your

589
00:37:23,360 --> 00:37:26,080
Speaker 1: guard down just because you got vaccinated, you still might

590
00:37:26,120 --> 00:37:28,239
Speaker 1: be able to get affect with the virus and pass

591
00:37:28,320 --> 00:37:31,239
Speaker 1: on others, so please keep that in mind. So there's

592
00:37:31,280 --> 00:37:33,360
Speaker 1: a lot they don't know. And the response to what

593
00:37:33,520 --> 00:37:36,640
Speaker 1: they don't know is you can't have basic liberties and

594
00:37:36,800 --> 00:37:39,200
Speaker 1: freedoms back, you can't live your life because they don't know.

595
00:37:39,800 --> 00:37:45,279
Speaker 1: So let's just air on the side of continued isolation, depression,

596
00:37:45,560 --> 00:37:49,280
Speaker 1: destruction of small businesses still at least next summer, until

597
00:37:49,320 --> 00:37:52,160
Speaker 1: the virus is zero. None of us are safe. None

598
00:37:52,200 --> 00:37:57,239
Speaker 1: of us are safe. This mentality is outrageous. Unfortunately, it

599
00:37:57,440 --> 00:38:00,799
Speaker 1: is the consensus mentality among the elites and democrats, among

600
00:38:00,920 --> 00:38:04,360
Speaker 1: social media giants. They will censor you, as they have

601
00:38:04,440 --> 00:38:07,399
Speaker 1: done to me for even questioning this. We've got another buddy, though,

602
00:38:07,480 --> 00:38:10,920
Speaker 1: who also questions it and sees the damage the devastation

603
00:38:11,760 --> 00:38:14,800
Speaker 1: across the country and in his hometown area of Boston.

604
00:38:15,000 --> 00:38:16,960
Speaker 1: Jerry Callahan is with us now. He is the host

605
00:38:17,000 --> 00:38:21,520
Speaker 1: of the Jerry Callahan Podcast, longtime Boston radio legend. Jerry,

606
00:38:21,560 --> 00:38:25,759
Speaker 1: Thanks for joining us, Hey, Buck, how's it going. I'm

607
00:38:25,800 --> 00:38:28,239
Speaker 1: all right, man, but I'm worried because I think that

608
00:38:28,400 --> 00:38:32,320
Speaker 1: the lockdown left is already showing us that they have.

609
00:38:32,560 --> 00:38:36,120
Speaker 1: They have no intention of letting us start to go

610
00:38:36,239 --> 00:38:39,560
Speaker 1: back to normal life until at least next summer, and

611
00:38:40,080 --> 00:38:44,279
Speaker 1: others are saying until this time next year already. And

612
00:38:44,600 --> 00:38:47,759
Speaker 1: it seems to me that no matter how much we

613
00:38:47,880 --> 00:38:50,000
Speaker 1: can show that the data doesn't support some of the

614
00:38:50,080 --> 00:38:53,759
Speaker 1: things they're doing. And what they're doing is catastrophic for

615
00:38:54,080 --> 00:38:56,560
Speaker 1: millions of people who are going bankrupt, their businesses are

616
00:38:56,600 --> 00:38:59,040
Speaker 1: going under. They just don't seem to care, Jerry. They

617
00:38:59,080 --> 00:39:03,600
Speaker 1: think they've got all the ant No, it is frightening Bucket.

618
00:39:03,640 --> 00:39:06,680
Speaker 1: It's getting worse. And today on my podcast, we developed

619
00:39:06,760 --> 00:39:08,920
Speaker 1: we came up with a new word. We've heard of, Karen's.

620
00:39:09,080 --> 00:39:11,200
Speaker 1: We all know what a Karen is. Well, now we

621
00:39:11,320 --> 00:39:16,480
Speaker 1: have gooped us. Guptas are cable TV doctors who don't

622
00:39:16,640 --> 00:39:19,560
Speaker 1: ever want this to end, who are literally telling us

623
00:39:19,680 --> 00:39:22,920
Speaker 1: you will not be liberated. I mean that that's kind

624
00:39:22,960 --> 00:39:25,120
Speaker 1: of a scary word. It should be at least that

625
00:39:25,640 --> 00:39:28,400
Speaker 1: we're not going to liberate you from all these restrictions

626
00:39:28,520 --> 00:39:32,319
Speaker 1: and these rules, and you're gonna have to continue wearing

627
00:39:32,320 --> 00:39:34,759
Speaker 1: a mask, and you're gonna have to stay out of

628
00:39:34,840 --> 00:39:37,920
Speaker 1: restaurants and bars and and don't travel. I mean He

629
00:39:38,040 --> 00:39:40,280
Speaker 1: literally says, you're not going to be able to travel

630
00:39:40,560 --> 00:39:43,320
Speaker 1: even after you get the vaccine. Well, what is the

631
00:39:43,360 --> 00:39:46,239
Speaker 1: point of the vaccine? It's it's bizarre. And I think

632
00:39:46,320 --> 00:39:48,080
Speaker 1: you and I have agreed on this for a while

633
00:39:48,160 --> 00:39:50,360
Speaker 1: now that they're just they're never going to let this go.

634
00:39:50,520 --> 00:39:54,239
Speaker 1: They're going to continue to try to keep us under

635
00:39:54,360 --> 00:39:57,160
Speaker 1: their control forever. Well that's that's where I wanted to

636
00:39:57,200 --> 00:40:00,279
Speaker 1: go next, because I think that we should establish a

637
00:40:00,400 --> 00:40:03,440
Speaker 1: kind of philosophical understanding right now of what we're actually

638
00:40:03,520 --> 00:40:07,560
Speaker 1: facing here. Because let's just say, for example, that we

639
00:40:07,640 --> 00:40:10,399
Speaker 1: were to listen to everything that these various Blue check

640
00:40:10,600 --> 00:40:12,880
Speaker 1: mds who go on on the different cable channels, that

641
00:40:12,960 --> 00:40:15,719
Speaker 1: doctor Fauci, who I honestly think is a disaster, and

642
00:40:16,680 --> 00:40:18,600
Speaker 1: just I don't know if he's not that bright, I

643
00:40:18,600 --> 00:40:20,680
Speaker 1: don't know what his problem is. His judgment is horrible.

644
00:40:20,880 --> 00:40:22,680
Speaker 1: I think it's more than he's a coward, actually than

645
00:40:22,719 --> 00:40:27,160
Speaker 1: he's dumb. But you look at where this all goes, Jerry,

646
00:40:27,800 --> 00:40:32,319
Speaker 1: and the moment that we start seeing stories in let's

647
00:40:32,360 --> 00:40:34,440
Speaker 1: say May or June about you know, there's gonna be

648
00:40:34,480 --> 00:40:37,640
Speaker 1: some relaxation. The cases are way down, We've got you know,

649
00:40:37,719 --> 00:40:41,520
Speaker 1: fifty million Americans vaccinated, one hundred million Americans vaccinated. I

650
00:40:41,600 --> 00:40:43,840
Speaker 1: can almost see right now you're gonna see stories about

651
00:40:44,280 --> 00:40:48,439
Speaker 1: but what about mutations, what about COVID twenty what about

652
00:40:48,480 --> 00:40:51,719
Speaker 1: COVID twenty one. We have to keep these things, you know,

653
00:40:52,080 --> 00:40:54,120
Speaker 1: ready to go here because of the moment. And then

654
00:40:54,160 --> 00:40:57,719
Speaker 1: I think people realize that if there's a zero risk

655
00:40:57,840 --> 00:41:00,719
Speaker 1: to your health standard that these people can enforce and

656
00:41:00,800 --> 00:41:03,440
Speaker 1: shut down your business and keep you away from relatives

657
00:41:03,480 --> 00:41:06,160
Speaker 1: on the holidays. If that's the standard, they can use

658
00:41:06,280 --> 00:41:09,759
Speaker 1: that standard going forward for other things too. And just

659
00:41:10,239 --> 00:41:13,120
Speaker 1: once they're done with the mutations of the virus, you know,

660
00:41:13,320 --> 00:41:16,439
Speaker 1: and I know what we're moving on to, and John

661
00:41:16,520 --> 00:41:18,759
Speaker 1: Kerry will be leading the way, and it'll be we

662
00:41:18,920 --> 00:41:22,200
Speaker 1: have to do these things to control climate change. It's

663
00:41:22,239 --> 00:41:24,560
Speaker 1: for your own good. And I'm telling you, I don't

664
00:41:24,560 --> 00:41:25,960
Speaker 1: know if you agree with me on this, Buck because

665
00:41:25,960 --> 00:41:28,719
Speaker 1: you're in New York City. I'm in Boston. I'm kind

666
00:41:28,760 --> 00:41:32,600
Speaker 1: of disappointed in the level of compliance and the just

667
00:41:32,800 --> 00:41:36,359
Speaker 1: the the docile submission of so many people. I'm out

668
00:41:36,560 --> 00:41:39,399
Speaker 1: every day, I'm running or walking the dog, and when

669
00:41:39,440 --> 00:41:42,000
Speaker 1: i'm by myself, I'm not wearing a mask, because why

670
00:41:42,080 --> 00:41:45,279
Speaker 1: would I let me tell you everybody else's They are

671
00:41:45,400 --> 00:41:50,520
Speaker 1: all going along with this, and they're accepting these measures,

672
00:41:50,920 --> 00:41:53,600
Speaker 1: even if they make no sense. Seem it's one thing

673
00:41:53,640 --> 00:41:57,160
Speaker 1: if they tell you you must do whatever because of

674
00:41:57,320 --> 00:41:59,799
Speaker 1: this reason, and they give it and they explain it. Well,

675
00:42:00,040 --> 00:42:04,120
Speaker 1: what happened yesterday in Boston The mayor shut all gyms

676
00:42:04,320 --> 00:42:06,160
Speaker 1: for the next three weeks. I mean they've already been

677
00:42:06,239 --> 00:42:09,840
Speaker 1: living with all kinds of restrictions and you know, limited

678
00:42:09,880 --> 00:42:12,480
Speaker 1: hours in space, and he just said we're going to

679
00:42:12,520 --> 00:42:14,759
Speaker 1: close all gyms for three weeks. And you know what

680
00:42:14,880 --> 00:42:17,879
Speaker 1: the reason is. He didn't have one. He literally does

681
00:42:17,960 --> 00:42:20,879
Speaker 1: not have one. They're not a hotspot, they're not a vector.

682
00:42:20,920 --> 00:42:22,920
Speaker 1: I could give you the numbers. It's unbelievable. They do

683
00:42:23,080 --> 00:42:28,480
Speaker 1: not there's no evidence that the the virus is transmitted

684
00:42:28,520 --> 00:42:31,440
Speaker 1: in gyms. He just said, we're locking you down because

685
00:42:31,480 --> 00:42:33,800
Speaker 1: that's what we did last time. We did a lockdown,

686
00:42:33,960 --> 00:42:36,839
Speaker 1: and we're gonna follow that protocol. So he puts people

687
00:42:37,000 --> 00:42:40,960
Speaker 1: out of work, puts people out of business essentially ten

688
00:42:41,040 --> 00:42:44,200
Speaker 1: days before Christmas, and doesn't really give them a reason.

689
00:42:44,680 --> 00:42:48,320
Speaker 1: And if that doesn't outrage, I mean it should outrage

690
00:42:48,360 --> 00:42:50,920
Speaker 1: everyone as much as it does me and you and

691
00:42:51,040 --> 00:42:54,040
Speaker 1: it doesn't and that I don't know that just bothers me. Well,

692
00:42:54,120 --> 00:42:56,640
Speaker 1: one thing I think, and we're speaking to Jerry Callahan.

693
00:42:57,000 --> 00:42:59,640
Speaker 1: He is the host of Jerry Callahan podcast, long time

694
00:42:59,719 --> 00:43:04,160
Speaker 1: ball and radio legend. Jerry, you know, we've had a

695
00:43:04,200 --> 00:43:07,719
Speaker 1: couple of things coinciding here. One is that the lockdown

696
00:43:07,920 --> 00:43:10,440
Speaker 1: left turn this into a kind of anti Trump thing,

697
00:43:10,960 --> 00:43:13,440
Speaker 1: that this was about, that there was this political separation.

698
00:43:13,600 --> 00:43:16,200
Speaker 1: And that's why I'm running around now saying forget about Trump,

699
00:43:16,239 --> 00:43:18,480
Speaker 1: for this isn't about Trump. This is about freedom. This

700
00:43:18,600 --> 00:43:21,400
Speaker 1: is about what's true. This is about free discourse and

701
00:43:21,640 --> 00:43:25,520
Speaker 1: individual liberty and businesses that should be surviving. And and

702
00:43:25,920 --> 00:43:27,960
Speaker 1: there's still this mentality I think of, oh no, but

703
00:43:28,440 --> 00:43:30,480
Speaker 1: that's what trumpers say or something has nothing to do

704
00:43:30,600 --> 00:43:32,400
Speaker 1: in my mind, this has nothing to do with Trump.

705
00:43:32,480 --> 00:43:35,160
Speaker 1: This is about what's what's true and what's happening around us.

706
00:43:35,560 --> 00:43:41,200
Speaker 1: And then there's also the most concerted suppression campaign I've

707
00:43:41,239 --> 00:43:45,560
Speaker 1: ever seen in social media. And I've been formally reprimanded

708
00:43:45,640 --> 00:43:49,279
Speaker 1: by the social media giants for sharing CDC studies, for

709
00:43:49,400 --> 00:43:52,360
Speaker 1: sharing things that I just say, well, look at this

710
00:43:52,600 --> 00:43:55,600
Speaker 1: doesn't this raise the following questions, and they'll put these,

711
00:43:56,120 --> 00:43:58,760
Speaker 1: you know, fact checks that aren't actually checking any facts.

712
00:43:58,800 --> 00:44:03,319
Speaker 1: They just say, well, this lacks context, doctor Fauci said, otherwise, Oh,

713
00:44:03,400 --> 00:44:06,160
Speaker 1: I'm sorry. So so now if doctor Fauci says something,

714
00:44:06,200 --> 00:44:08,799
Speaker 1: it's a fact check. That's fascinating because he told us

715
00:44:08,840 --> 00:44:11,880
Speaker 1: at the beginning of the pandemic, when this was considered

716
00:44:11,920 --> 00:44:14,520
Speaker 1: to be far more dangerous actually by the individual case

717
00:44:14,600 --> 00:44:17,840
Speaker 1: fatality that it was, don't wear masks. That was Fauci

718
00:44:18,000 --> 00:44:20,680
Speaker 1: this year. But now he's a one man fact check. Oh,

719
00:44:20,719 --> 00:44:25,480
Speaker 1: that's fascinating. He told us on March nine, Buck, don't

720
00:44:25,520 --> 00:44:28,719
Speaker 1: hesitate to go on a cruise. Doctor Faucci told us

721
00:44:28,760 --> 00:44:30,640
Speaker 1: to go ahead, you know, go ahead, go on a cruise,

722
00:44:30,719 --> 00:44:32,960
Speaker 1: have fun, and by the way, go on Tinder and

723
00:44:33,080 --> 00:44:35,000
Speaker 1: find love if you're if that's what you're looking for.

724
00:44:35,440 --> 00:44:39,000
Speaker 1: Doctor Fauci gave you his blessing, and we know he's

725
00:44:39,040 --> 00:44:42,160
Speaker 1: been wrong about everything, and yet you can't challenge him.

726
00:44:42,320 --> 00:44:45,920
Speaker 1: It is bizarre, and to me, it is it flies

727
00:44:45,960 --> 00:44:48,080
Speaker 1: in the face of you know what we see every

728
00:44:48,200 --> 00:44:50,959
Speaker 1: day on the streets. I'm walking around, you're walking around,

729
00:44:50,960 --> 00:44:53,680
Speaker 1: You're seeing these restaurants and businesses, and Jim, it's just

730
00:44:53,800 --> 00:44:56,960
Speaker 1: closed up, boarded up, gone forever. So you try to

731
00:44:57,040 --> 00:45:02,279
Speaker 1: point out this real ancillary effects here, this this real

732
00:45:02,360 --> 00:45:06,000
Speaker 1: collateral damage, and it's like, yeah, but um, you know

733
00:45:06,160 --> 00:45:08,440
Speaker 1: it's a virus or you know people they give you

734
00:45:08,520 --> 00:45:11,239
Speaker 1: the number three thousand dead and you say, but do

735
00:45:11,320 --> 00:45:14,920
Speaker 1: you know how many people are unemployed or on drugs

736
00:45:15,040 --> 00:45:19,120
Speaker 1: or alcohol or their business is destroyed, and it's it's

737
00:45:19,680 --> 00:45:23,080
Speaker 1: almost irrelevant. They don't want to hear it. They just say, yeah,

738
00:45:23,239 --> 00:45:25,839
Speaker 1: but the virus. It's like the only thing that matter

739
00:45:25,920 --> 00:45:28,680
Speaker 1: is when your your eyeballs tell you that there's a

740
00:45:28,800 --> 00:45:31,600
Speaker 1: lot of other things going on that just a really

741
00:45:31,800 --> 00:45:34,759
Speaker 1: really bad for society as a whole. What are you

742
00:45:34,840 --> 00:45:37,480
Speaker 1: seeing in Boston about this, Because in New York we've

743
00:45:37,560 --> 00:45:40,879
Speaker 1: had a couple of people and in New Jersey too.

744
00:45:40,920 --> 00:45:43,720
Speaker 1: In New Jersey there's analysts, Jim, they've been telling everyone

745
00:45:43,800 --> 00:45:46,080
Speaker 1: they got a one point two million dollars and counting

746
00:45:46,719 --> 00:45:49,920
Speaker 1: uh finds from the city and from the state of

747
00:45:49,960 --> 00:45:53,200
Speaker 1: New Jersey. In New York, we had this this pub

748
00:45:53,520 --> 00:45:56,239
Speaker 1: and restaurant on Staten Island where the guys wouldn't shut

749
00:45:56,280 --> 00:45:57,480
Speaker 1: down even though they were told they were in the

750
00:45:57,560 --> 00:45:59,360
Speaker 1: red zone or the orange zone or whatever it was,

751
00:46:00,080 --> 00:46:04,600
Speaker 1: and call those babies, Pete Davidson, and I say, those

752
00:46:04,640 --> 00:46:06,640
Speaker 1: there are a bunch of babies. But go ahead, Yeah,

753
00:46:06,840 --> 00:46:09,040
Speaker 1: I heard that guy. It's it's nice if you're in

754
00:46:09,200 --> 00:46:11,600
Speaker 1: media and making a ton of money and can work

755
00:46:11,680 --> 00:46:14,719
Speaker 1: remotely and or you know, not have to worry about

756
00:46:14,719 --> 00:46:17,640
Speaker 1: a paycheck at all, that you get to just tell

757
00:46:17,719 --> 00:46:19,800
Speaker 1: people that are losing their business is losing you know,

758
00:46:20,040 --> 00:46:22,880
Speaker 1: decades of work in some cases. And the other thing

759
00:46:22,920 --> 00:46:25,120
Speaker 1: that I would say, Jerry, is that when we see this,

760
00:46:25,440 --> 00:46:28,279
Speaker 1: the chance that any one individual restaurant is a real

761
00:46:28,440 --> 00:46:32,000
Speaker 1: problem in this pandemic, based on New York City's official numbers,

762
00:46:32,800 --> 00:46:34,520
Speaker 1: is very very low. They say they think there's one

763
00:46:34,600 --> 00:46:37,840
Speaker 1: percent of the spread they can trace to restaurants. One percent.

764
00:46:38,360 --> 00:46:42,560
Speaker 1: We're shutting down ten thousand restaurants. I believe, go ahead.

765
00:46:43,000 --> 00:46:45,279
Speaker 1: It's it's much like the gyms. They don't like the

766
00:46:45,480 --> 00:46:50,280
Speaker 1: Antilles gym, they have zero they've had zero members test pausing,

767
00:46:50,719 --> 00:46:53,520
Speaker 1: and they've had something like a million visits since they

768
00:46:53,960 --> 00:46:57,080
Speaker 1: opened up illegally. But you're right, restaurants, it's like one

769
00:46:57,160 --> 00:47:00,040
Speaker 1: percent gyms. It's much much less than one percent. So

770
00:47:00,080 --> 00:47:03,719
Speaker 1: again they're telling you to do things that make no sense.

771
00:47:04,400 --> 00:47:06,040
Speaker 1: It's one thing to tell you to do something, it's

772
00:47:06,239 --> 00:47:09,279
Speaker 1: another thing to not give you a reason. It's the

773
00:47:09,360 --> 00:47:11,600
Speaker 1: same thing here. They came up with these new rules

774
00:47:11,719 --> 00:47:15,120
Speaker 1: because there was a spike, and we know that most

775
00:47:15,160 --> 00:47:18,120
Speaker 1: of the cases are at home or nursing homes or hospitals.

776
00:47:18,160 --> 00:47:20,920
Speaker 1: So they decide, you know, here's an idea, let's make

777
00:47:20,960 --> 00:47:23,880
Speaker 1: everyone go home and get out of the restaurants and

778
00:47:23,920 --> 00:47:28,240
Speaker 1: get out of the gyms. And here, yesterday the restaurants

779
00:47:28,239 --> 00:47:32,719
Speaker 1: were already operating and limited capacity. Yesterday they closed all

780
00:47:32,840 --> 00:47:36,759
Speaker 1: bar seating, no reason given, just we decided we have

781
00:47:36,880 --> 00:47:39,080
Speaker 1: to do something here to make it look like we're

782
00:47:39,480 --> 00:47:42,799
Speaker 1: trying to protect you from the evil virus. So we're

783
00:47:42,840 --> 00:47:45,320
Speaker 1: not going to let people sit at the bar anymore.

784
00:47:45,719 --> 00:47:47,719
Speaker 1: And they're just going to keep coming up with new

785
00:47:47,760 --> 00:47:50,200
Speaker 1: measures until every damn restaurant is gone. I mean, it's

786
00:47:50,560 --> 00:47:54,040
Speaker 1: the last number I saw, it was five thousand restaurants

787
00:47:54,160 --> 00:47:57,160
Speaker 1: in the state, restaurants and bars that have gone under.

788
00:47:57,239 --> 00:47:59,840
Speaker 1: It's obviously higher in New York and across the country.

789
00:48:00,320 --> 00:48:03,279
Speaker 1: And it doesn't seem to affect these you know, these

790
00:48:03,400 --> 00:48:09,279
Speaker 1: these public officeholders who risk nothing, who sacrificed nothing. Did

791
00:48:09,320 --> 00:48:10,920
Speaker 1: you sit there in their office and say, you know what,

792
00:48:11,360 --> 00:48:14,880
Speaker 1: I'm just gonna put another thousand people out of business

793
00:48:14,960 --> 00:48:18,080
Speaker 1: and put another countless thousands of people out of work

794
00:48:18,239 --> 00:48:20,520
Speaker 1: before Christmas. And they don't, they don't bet an eye.

795
00:48:20,640 --> 00:48:24,480
Speaker 1: It's remarkable, is Jerry Callahan? I'm with you on this stuff. Man,

796
00:48:24,640 --> 00:48:27,400
Speaker 1: keep the faith and hold strong up there in Boston.

797
00:48:28,160 --> 00:48:30,560
Speaker 1: Go check out the Jerry Callahan podcast. Where have you

798
00:48:30,600 --> 00:48:32,680
Speaker 1: listen to? Podcast? Jerry, thanks so much for joining us man.

799
00:48:32,719 --> 00:48:39,800
Speaker 1: We appreciate it. Thanks. Buck, good Lucky, You're in the

800
00:48:39,960 --> 00:48:47,640
Speaker 1: freedom Mine. This is the Buck Sex and Show podcast. Yesterday,

801
00:48:47,719 --> 00:48:52,360
Speaker 1: the United States witnessed a medical miracle. The first doses

802
00:48:52,440 --> 00:48:56,280
Speaker 1: of a COVID vaccine were administered to frontline workers across

803
00:48:56,440 --> 00:49:00,960
Speaker 1: the country. The President promised a safe and effective vaccine

804
00:49:01,000 --> 00:49:05,520
Speaker 1: and record time, and President Trump delivered. Earlier this year,

805
00:49:05,640 --> 00:49:08,360
Speaker 1: we heard from several news outlets and so called fact

806
00:49:08,440 --> 00:49:12,600
Speaker 1: checks that President Trump would need quote a miracle to

807
00:49:12,800 --> 00:49:16,200
Speaker 1: be right. That was an NBC News article. We were told,

808
00:49:16,239 --> 00:49:20,000
Speaker 1: according to helpline quote, a vaccine will still take more

809
00:49:20,080 --> 00:49:24,000
Speaker 1: than a year to develop. USA Today warned us that

810
00:49:24,200 --> 00:49:28,359
Speaker 1: quote despite medical researchers progress, a vaccine quote was more

811
00:49:28,480 --> 00:49:32,799
Speaker 1: than a year away, and National Geographic even told us

812
00:49:32,880 --> 00:49:36,040
Speaker 1: that achieving a vaccine within quote a year to eighteen

813
00:49:36,120 --> 00:49:41,920
Speaker 1: months would be absolutely unprecedented end quote. These reports deserve

814
00:49:42,040 --> 00:49:48,480
Speaker 1: their own fact check false indeed, And we see once

815
00:49:48,560 --> 00:49:56,040
Speaker 1: again how fact checking is abused by libs, how fact

816
00:49:56,120 --> 00:49:58,520
Speaker 1: checking isn't really about facts. It's just a way to

817
00:49:58,600 --> 00:50:04,400
Speaker 1: try to add additional gravitas to their opinions and to

818
00:50:04,640 --> 00:50:07,400
Speaker 1: use it to silence opinions they don't like. Oh, we

819
00:50:07,520 --> 00:50:09,440
Speaker 1: did a fact check and we're right and you're wrong.

820
00:50:09,640 --> 00:50:12,719
Speaker 1: We fact check Trump and here's what we found. How

821
00:50:12,760 --> 00:50:16,520
Speaker 1: do you fact check a prediction? They don't never think

822
00:50:16,560 --> 00:50:18,359
Speaker 1: about this. How do you fact check a prediction? Does

823
00:50:18,600 --> 00:50:20,800
Speaker 1: that ever occur to the people that are trying to

824
00:50:20,840 --> 00:50:23,680
Speaker 1: do this stuff? You can't, right, if I told you

825
00:50:24,440 --> 00:50:26,640
Speaker 1: that the stock market was going to be down fifty

826
00:50:26,680 --> 00:50:29,360
Speaker 1: percent in six months, you can't fact check me on that.

827
00:50:29,400 --> 00:50:33,839
Speaker 1: Hopefully that doesn't happen, by the way, because nobody knows,

828
00:50:34,360 --> 00:50:36,680
Speaker 1: not possible to fact check it. So what they do

829
00:50:36,800 --> 00:50:38,239
Speaker 1: is they call it a fact check. Then let's say

830
00:50:38,440 --> 00:50:42,560
Speaker 1: experts disagree, that's not a fact they conflate these things.

831
00:50:42,640 --> 00:50:46,080
Speaker 1: They do this intentionally. The media did this about the vaccine,

832
00:50:46,960 --> 00:50:51,320
Speaker 1: and this, yes, certainly had some impact on the election.

833
00:50:52,120 --> 00:50:54,840
Speaker 1: We had a lot of people who are being told

834
00:50:54,880 --> 00:50:58,880
Speaker 1: all year you can't expect that there'll be a vaccine

835
00:50:58,960 --> 00:51:01,280
Speaker 1: because the media is telling you that Trump is lying

836
00:51:01,520 --> 00:51:03,799
Speaker 1: and Trump's never going to get a vaccine, and that's

837
00:51:03,840 --> 00:51:06,920
Speaker 1: what they were saying. And then we turned around and say, well,

838
00:51:07,160 --> 00:51:10,480
Speaker 1: hold on a second, what would perception have been, what

839
00:51:10,600 --> 00:51:13,480
Speaker 1: would people have been thinking was likely to happen by

840
00:51:13,520 --> 00:51:16,560
Speaker 1: the end of the year in terms of the election,

841
00:51:17,760 --> 00:51:19,920
Speaker 1: And if they believe that a vaccine was on the

842
00:51:20,000 --> 00:51:22,480
Speaker 1: way and would be here in December, as it is,

843
00:51:23,440 --> 00:51:25,279
Speaker 1: this is now. The fact is that it is here.

844
00:51:25,880 --> 00:51:28,560
Speaker 1: Did do they feel any sense of remorse or any

845
00:51:28,600 --> 00:51:31,120
Speaker 1: sense of embarrassment for getting this wrong? Now? Of course not.

846
00:51:31,280 --> 00:51:36,200
Speaker 1: They did it for a reason, and unfortunately the reason

847
00:51:36,840 --> 00:51:40,120
Speaker 1: was to stop Trump from winning this election. So they

848
00:51:40,280 --> 00:51:44,000
Speaker 1: view this probably as a big success. They got away

849
00:51:44,040 --> 00:51:46,680
Speaker 1: with yet another lie. Russia collusion was a lie, but

850
00:51:46,880 --> 00:51:50,400
Speaker 1: did it work for the Democrats? Trump is trying to

851
00:51:50,520 --> 00:51:53,359
Speaker 1: destroy the Post Office was a lie? But did it work?

852
00:51:53,480 --> 00:51:55,680
Speaker 1: And now we have the vaccine coming this year, they

853
00:51:55,880 --> 00:51:58,040
Speaker 1: said it would never happen. Who was right, who was wrong?

854
00:52:00,000 --> 00:52:01,960
Speaker 1: How to pay attention to this stuff? Got to remember

855
00:52:02,000 --> 00:52:04,920
Speaker 1: it too, because these are the people who will turn

856
00:52:04,960 --> 00:52:07,240
Speaker 1: around now. I mean, this is the same news media

857
00:52:08,160 --> 00:52:10,640
Speaker 1: that is going to say that we should all, you know,

858
00:52:10,840 --> 00:52:13,719
Speaker 1: respect our journos, and they're gonna try this whole game

859
00:52:13,840 --> 00:52:18,080
Speaker 1: of oh now now we can finally trust them, Now

860
00:52:18,200 --> 00:52:21,680
Speaker 1: we can finally trust them. No, we actually cannot trust them.

861
00:52:22,400 --> 00:52:26,560
Speaker 1: We cannot, and it's because they've shown us who they are. Here.

862
00:52:26,680 --> 00:52:33,920
Speaker 1: Here's among the most preposterous, the most vain, ignorant, and

863
00:52:34,120 --> 00:52:37,399
Speaker 1: worthless of the journals because he's just a journalist, man,

864
00:52:37,680 --> 00:52:42,360
Speaker 1: Jim Jim Accostum's just a journalist. This guy managed to

865
00:52:42,400 --> 00:52:46,080
Speaker 1: build a career around Trump hatred and then acts like

866
00:52:47,400 --> 00:52:51,440
Speaker 1: he's honest and ethical as a journal I mean, it's absurd.

867
00:52:51,840 --> 00:52:54,640
Speaker 1: This is what he yells at the White House Press

868
00:52:54,680 --> 00:52:58,720
Speaker 1: secretary after she leaves the podium, like the sniveling little coward.

869
00:52:58,880 --> 00:53:03,600
Speaker 1: He is. Play really interesting turn of events, and good

870
00:53:03,680 --> 00:53:05,840
Speaker 1: for those who covered what was a story all along

871
00:53:05,960 --> 00:53:09,680
Speaker 1: and not Russia disinformation. For you to accuse others of

872
00:53:09,760 --> 00:53:14,120
Speaker 1: disinformation when you spread it every day you hear that

873
00:53:14,320 --> 00:53:16,640
Speaker 1: nasty little It's it's like he's like a mean girl

874
00:53:16,680 --> 00:53:19,040
Speaker 1: in high school. Isn't hippo critic girl? For you to

875
00:53:19,080 --> 00:53:22,719
Speaker 1: see it, it's been you spread disinformation every day. This

876
00:53:22,960 --> 00:53:25,879
Speaker 1: is this is CNN's White House Correspondent senior, a White

877
00:53:25,920 --> 00:53:29,759
Speaker 1: House correspondent. Well, we're supposed to take him seriously. Now,

878
00:53:29,960 --> 00:53:32,000
Speaker 1: I don't know if anyone takes down Lemon seriously, but

879
00:53:32,120 --> 00:53:34,680
Speaker 1: here he is talking about the White House Press Secretary thirteen.

880
00:53:36,440 --> 00:53:40,200
Speaker 1: He's still pursuing on ongoing litigation at the moment. Did yes,

881
00:53:40,239 --> 00:53:43,839
Speaker 1: she also works for a girl? Bye? I mean there's

882
00:53:43,880 --> 00:53:48,480
Speaker 1: no other girl. Bye, good bye. That's all he's got for.

883
00:53:49,719 --> 00:53:51,920
Speaker 1: That's that's how respectful they are of the White House

884
00:53:51,960 --> 00:53:54,520
Speaker 1: Press sectorty. That's how respectful they are of the process

885
00:53:55,360 --> 00:53:58,759
Speaker 1: and the sacred norms of our democracy. These journalists make

886
00:53:58,800 --> 00:54:01,360
Speaker 1: a mockery of their profession on a regular basis, and

887
00:54:01,400 --> 00:54:03,000
Speaker 1: then they turn around and they expect the rest of

888
00:54:03,080 --> 00:54:07,640
Speaker 1: us to give them respect. They expect us to treat

889
00:54:07,680 --> 00:54:09,760
Speaker 1: their pronouncements as though they don't come from a place

890
00:54:10,440 --> 00:54:16,680
Speaker 1: of ignorance. Partisanship, bitterness, vanity. Yeah, those are the defining

891
00:54:16,760 --> 00:54:19,920
Speaker 1: characteristics of the modern political media these days. That's what

892
00:54:20,000 --> 00:54:22,360
Speaker 1: they actually show us day in and day out, so

893
00:54:22,520 --> 00:54:25,640
Speaker 1: I think we should treat them as such. I have

894
00:54:26,200 --> 00:54:31,719
Speaker 1: absolutely no desire, no plan, no willingness to pretend that

895
00:54:31,800 --> 00:54:35,640
Speaker 1: the journos are somehow going to get better in the

896
00:54:35,719 --> 00:54:37,919
Speaker 1: next four years. I think we all know they're only

897
00:54:38,320 --> 00:54:41,319
Speaker 1: going to get worse, and they deserve to be held

898
00:54:41,360 --> 00:54:46,160
Speaker 1: to account, and that means substantial amounts of mockery and ridicule,

899
00:54:46,400 --> 00:54:49,960
Speaker 1: because that's what really bothers them. Thanks for listening to

900
00:54:50,000 --> 00:54:54,280
Speaker 1: the Busess and show podcasts. Remember to subscribe on Apple podcasts,

901
00:54:54,480 --> 00:54:59,440
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. Georgia

902
00:54:59,560 --> 00:55:02,719
Speaker 1: Senate on Off just a few weeks away. As I've

903
00:55:02,719 --> 00:55:05,120
Speaker 1: been telling you, this is absolutely critical. I want to

904
00:55:05,160 --> 00:55:08,120
Speaker 1: get the most up to date information on this possible

905
00:55:08,160 --> 00:55:09,880
Speaker 1: to all of you. For that, we bring in our

906
00:55:09,920 --> 00:55:13,640
Speaker 1: friend Ryan Grudusky. He's the author of They're Not Listening

907
00:55:14,040 --> 00:55:17,440
Speaker 1: How the Elites Created a National Populist Revolution, and he

908
00:55:17,640 --> 00:55:21,120
Speaker 1: is a political political big brain. He's gonna tell us

909
00:55:21,120 --> 00:55:23,000
Speaker 1: what's going on here. Ryan, Thanks so much for joining,

910
00:55:24,920 --> 00:55:27,759
Speaker 1: Thank you for having me. What is happening right now

911
00:55:27,840 --> 00:55:32,080
Speaker 1: with the early vote in Georgia tell us so as

912
00:55:32,120 --> 00:55:34,919
Speaker 1: of right now, seven hundred and fifty As of this morning,

913
00:55:35,000 --> 00:55:39,600
Speaker 1: seven hundred and fifteen, seven hundred, fifteen thousand, rather people

914
00:55:39,640 --> 00:55:42,759
Speaker 1: have voted in the state of Georgia. Georgie is one

915
00:55:42,760 --> 00:55:44,640
Speaker 1: of the one of the states like many that do

916
00:55:44,800 --> 00:55:47,400
Speaker 1: not register people by parties, So we don't know what

917
00:55:48,040 --> 00:55:50,640
Speaker 1: person's party has come out and vote, but we do

918
00:55:50,840 --> 00:55:54,120
Speaker 1: know their we do ano their age and their race.

919
00:55:54,880 --> 00:55:58,520
Speaker 1: So about fifty four point five percent are have been

920
00:55:58,840 --> 00:56:01,759
Speaker 1: a non Hispanic wife, eight thirty three point one percent

921
00:56:01,880 --> 00:56:05,759
Speaker 1: have been non Hispanic Black. Most of the people are

922
00:56:07,239 --> 00:56:09,040
Speaker 1: fourty nine percent of Olas who have voted are over

923
00:56:09,040 --> 00:56:13,400
Speaker 1: the age of sixty five. And most interestingly, about eighteen thousand,

924
00:56:13,680 --> 00:56:16,319
Speaker 1: a little over eighteen thousand and five hundred are vote

925
00:56:16,320 --> 00:56:19,280
Speaker 1: people who did not vote in the twenty twenty general election.

926
00:56:19,560 --> 00:56:23,040
Speaker 1: They're new voters. So how's it looking right now for

927
00:56:23,320 --> 00:56:28,640
Speaker 1: Leffler and Purdue, the Republican candidates. Well, ideally, for Republicans,

928
00:56:28,719 --> 00:56:31,240
Speaker 1: you want the black vote because blacks vote ninety percent

929
00:56:31,400 --> 00:56:33,879
Speaker 1: or above. For the Democrats, you like the black vote

930
00:56:33,920 --> 00:56:36,560
Speaker 1: to be under thirty percent. They're at thirty three point one.

931
00:56:36,640 --> 00:56:38,720
Speaker 1: It's been dropping every day. It was over at thirty

932
00:56:38,840 --> 00:56:40,920
Speaker 1: I think seven and thirty eight percent the first day.

933
00:56:41,880 --> 00:56:44,800
Speaker 1: So the energy and momentum for a huge surge of

934
00:56:44,840 --> 00:56:48,359
Speaker 1: Stacy Abrams voters, especially in the Atlanta metro area, has

935
00:56:48,440 --> 00:56:52,399
Speaker 1: kind of diminished somewhat slightly as days go by. Now,

936
00:56:52,719 --> 00:56:56,760
Speaker 1: one thing I've learned covering Georgia is that Stacey Abrams

937
00:56:56,800 --> 00:56:59,080
Speaker 1: has a tendency to take credit for everything she does

938
00:56:59,120 --> 00:57:01,480
Speaker 1: it or sho doesn't do it. Um, you mean you

939
00:57:01,560 --> 00:57:05,920
Speaker 1: mean the governor of the Governor of Georgia, Ryan, the

940
00:57:06,560 --> 00:57:11,160
Speaker 1: fake governor of Georgia. Yo. So she was talking about

941
00:57:11,200 --> 00:57:13,959
Speaker 1: how she was getting one point I guess three million

942
00:57:14,000 --> 00:57:17,480
Speaker 1: absentee ballots out. A majority of those actually came from

943
00:57:17,560 --> 00:57:24,520
Speaker 1: senior citizens, military personnel, and disabled who automatically get ballads. So, um,

944
00:57:24,800 --> 00:57:28,200
Speaker 1: they were not anyone that she was requesting for a ballot.

945
00:57:28,240 --> 00:57:31,600
Speaker 1: They were people who would get ballots normally under Georgia law.

946
00:57:32,360 --> 00:57:35,120
Speaker 1: As of right now, one point six million people total

947
00:57:35,280 --> 00:57:39,360
Speaker 1: have requested absentee ballots. By the way, is crazy high.

948
00:57:39,480 --> 00:57:42,000
Speaker 1: It's gonna be a huge, huge, huge run off election,

949
00:57:42,120 --> 00:57:45,840
Speaker 1: much higher than past run off elections. So this so

950
00:57:46,000 --> 00:57:49,560
Speaker 1: just so we can some of the top line here, Um,

951
00:57:49,920 --> 00:57:54,160
Speaker 1: we have a Georgia runoff that is already showing that

952
00:57:54,360 --> 00:57:57,680
Speaker 1: people are very they're they're very focused on this. Ryan.

953
00:57:57,920 --> 00:58:00,280
Speaker 1: I'm hearing from some folks on the right who want

954
00:58:00,320 --> 00:58:02,240
Speaker 1: to say this that much publicly, but they they are

955
00:58:02,320 --> 00:58:05,560
Speaker 1: saying the Democrats could actually steal these two seats, that

956
00:58:05,680 --> 00:58:08,440
Speaker 1: that could happen, and everyone needs to take that very seriously.

957
00:58:08,480 --> 00:58:11,720
Speaker 1: What do you say to that. The law in Georgia

958
00:58:12,280 --> 00:58:14,920
Speaker 1: is probably the election laws in Georgia are probably some

959
00:58:15,080 --> 00:58:18,160
Speaker 1: of the worst in the country as far as I

960
00:58:18,240 --> 00:58:24,520
Speaker 1: could tell. So. So, for instance, after it came out

961
00:58:24,520 --> 00:58:26,960
Speaker 1: of Joe Biden was ahead in the vote count, Donald

962
00:58:27,000 --> 00:58:29,720
Speaker 1: Trump requested a recount, which is perfectly legal for a

963
00:58:29,920 --> 00:58:33,960
Speaker 1: loser to look for a recount, and they found between

964
00:58:34,040 --> 00:58:37,440
Speaker 1: three or four thousand more Trump votes during the recount

965
00:58:38,000 --> 00:58:39,840
Speaker 1: in Georgia, which gave him a little bit of an edge,

966
00:58:39,840 --> 00:58:42,280
Speaker 1: but it didn't put him over the number he needed

967
00:58:42,360 --> 00:58:46,440
Speaker 1: to win. Now, if you remember, David Purdue was the

968
00:58:46,520 --> 00:58:48,720
Speaker 1: winner of that election, but he didn't win enough to

969
00:58:49,400 --> 00:58:51,720
Speaker 1: he didn't get over fifty percent to avoid a runoff.

970
00:58:52,120 --> 00:58:54,520
Speaker 1: So I simply asked, well, how much of those three

971
00:58:54,640 --> 00:58:57,320
Speaker 1: or four thousand to David Purdue get and they said, oh, well,

972
00:58:57,360 --> 00:58:59,920
Speaker 1: we can't count those because only the loser can request

973
00:59:00,000 --> 00:59:03,320
Speaker 1: to recount, So they could not count any other of

974
00:59:03,400 --> 00:59:06,520
Speaker 1: the votes besides the Donald Trump votes. So David Purdue

975
00:59:06,680 --> 00:59:09,800
Speaker 1: very well could have ended up getting over fifty percent

976
00:59:09,800 --> 00:59:11,960
Speaker 1: of the vote had he been able to request or recount,

977
00:59:12,000 --> 00:59:14,920
Speaker 1: but he can because of Georgia's so so he may so. Then,

978
00:59:14,960 --> 00:59:17,160
Speaker 1: to be clear, this is not even a little bit

979
00:59:17,240 --> 00:59:19,160
Speaker 1: beyond the realm of possibility what you're laying out here.

980
00:59:19,200 --> 00:59:21,560
Speaker 1: By the numbers, Purdue might have actually won enough to

981
00:59:21,680 --> 00:59:23,960
Speaker 1: not even be in a runoff, But because of the Georgia,

982
00:59:24,560 --> 00:59:27,880
Speaker 1: because of the Georgia laws, they weren't able. They weren't

983
00:59:27,920 --> 00:59:30,360
Speaker 1: able to look for those irregularities that they did find

984
00:59:30,440 --> 00:59:32,720
Speaker 1: for Trump that might have put Purdue over. So there's

985
00:59:32,760 --> 00:59:38,400
Speaker 1: no runoff. Correct, Yes, unbelieve the Republicans would have to senate. Yes,

986
00:59:38,960 --> 00:59:41,760
Speaker 1: it is. It is the most insane series of laws

987
00:59:41,840 --> 00:59:44,680
Speaker 1: you've ever heard of in your life. A big problem

988
00:59:44,760 --> 00:59:46,640
Speaker 1: that I've had, I've raised to a lot of people

989
00:59:46,840 --> 00:59:50,840
Speaker 1: is these drop off, these these ballot drop offs that

990
00:59:50,920 --> 00:59:53,680
Speaker 1: they've been having. They have twenty one in one county alone,

991
00:59:54,520 --> 00:59:58,480
Speaker 1: and the question comes up of ballot harvesting. It is

992
00:59:58,480 --> 01:00:01,040
Speaker 1: illegal in the state of Georgia. Two ballot harvest You

993
01:00:01,160 --> 01:00:05,480
Speaker 1: can't deliver any other ballot besides your own. But the

994
01:00:05,880 --> 01:00:10,240
Speaker 1: problem is, and under the law written in the words

995
01:00:10,280 --> 01:00:12,960
Speaker 1: and the Georgia law is that you have to have

996
01:00:13,160 --> 01:00:15,920
Speaker 1: two people witness you dropping off a ballot. Right now,

997
01:00:16,040 --> 01:00:18,440
Speaker 1: because of COVID, they made these in these draw of

998
01:00:18,560 --> 01:00:21,880
Speaker 1: these ballot the ballot drop off boxes where you just

999
01:00:21,960 --> 01:00:24,560
Speaker 1: walk into a box, you deliver it, but there's nobody

1000
01:00:24,640 --> 01:00:26,960
Speaker 1: watching these boxes to make sure there only one ballot

1001
01:00:27,040 --> 01:00:29,600
Speaker 1: is going in there at a time. They have a

1002
01:00:29,680 --> 01:00:32,200
Speaker 1: camera these boxes, but the camera's only looking to see

1003
01:00:32,200 --> 01:00:35,120
Speaker 1: if someone you know, destroys the boxes, not if somebody

1004
01:00:35,240 --> 01:00:39,560
Speaker 1: delivers fifty or sixty ballots at one single time. There's

1005
01:00:39,600 --> 01:00:41,600
Speaker 1: so much money in Georgia, by the way, right now

1006
01:00:41,680 --> 01:00:44,920
Speaker 1: that Carl Rove could hire somebody to sit in front

1007
01:00:45,000 --> 01:00:48,200
Speaker 1: of every ballot drop off place all day long, every

1008
01:00:48,280 --> 01:00:51,240
Speaker 1: single day to make sure that no one's dropping up

1009
01:00:51,240 --> 01:00:54,120
Speaker 1: sixty or seventy ballots thirty times a day. But no

1010
01:00:54,240 --> 01:00:56,240
Speaker 1: one's doing that. As a right now, we're speaking of

1011
01:00:56,320 --> 01:00:58,680
Speaker 1: Ryan Grudusky, author if they're not listening how the elites

1012
01:00:58,720 --> 01:01:03,959
Speaker 1: created a national popst revolution. And he's a political analyst, Ryan,

1013
01:01:04,040 --> 01:01:08,440
Speaker 1: tell me this, what is the GOP not doing in George.

1014
01:01:08,520 --> 01:01:10,880
Speaker 1: I mean, let's let's put aside the issue of fraud

1015
01:01:10,920 --> 01:01:13,680
Speaker 1: for a second. There's also the possibility, it seems that

1016
01:01:14,040 --> 01:01:16,360
Speaker 1: maybe they could win these two Senate seats fair and

1017
01:01:16,440 --> 01:01:18,480
Speaker 1: square based on all the money and attention that these

1018
01:01:18,560 --> 01:01:21,840
Speaker 1: races are getting. What do you make of that risk

1019
01:01:21,960 --> 01:01:25,000
Speaker 1: and what would you want to see the GOP and

1020
01:01:25,280 --> 01:01:28,959
Speaker 1: these candidates and Trump and Pence do to make sure

1021
01:01:29,080 --> 01:01:32,400
Speaker 1: that we don't lose Senate control. Because I can handle

1022
01:01:33,040 --> 01:01:35,440
Speaker 1: whatever whatever the outcome of the presidential election is. I

1023
01:01:35,480 --> 01:01:38,120
Speaker 1: feel like we can weather that storm. It gets a

1024
01:01:38,160 --> 01:01:40,840
Speaker 1: lot harder whether if the Democrats have the House and

1025
01:01:40,960 --> 01:01:43,800
Speaker 1: the Senate. Yeah, so, I mean there's I mean, I

1026
01:01:43,960 --> 01:01:47,400
Speaker 1: can't over how much money and people there are right

1027
01:01:47,440 --> 01:01:49,800
Speaker 1: now in Georgia so far, and Georgia the Republicans, not

1028
01:01:49,880 --> 01:01:53,280
Speaker 1: the Democrats, just Republicans that have knocked about six million doors,

1029
01:01:53,400 --> 01:01:57,040
Speaker 1: which is basically every one of their voters five times over.

1030
01:01:58,080 --> 01:02:01,200
Speaker 1: They've done in a tremendous GEO TV job. There's tons

1031
01:02:01,240 --> 01:02:03,440
Speaker 1: of money being ported and one of the major problems

1032
01:02:03,520 --> 01:02:06,080
Speaker 1: of the Trump campaign was that they did not have

1033
01:02:06,240 --> 01:02:11,360
Speaker 1: any money in the Shatnuga media market. Now Chatanooga media

1034
01:02:11,360 --> 01:02:14,000
Speaker 1: market is only two percent of Georgia, but it's even

1035
01:02:14,040 --> 01:02:17,080
Speaker 1: the most Republican area of Georgia. So all two percent

1036
01:02:17,240 --> 01:02:21,400
Speaker 1: are heavily Republicans. In the ninth Congressional Marge Now congress

1037
01:02:21,400 --> 01:02:25,000
Speaker 1: from Marjorie Green, Margie Taylor Green's congressional district the second

1038
01:02:25,040 --> 01:02:27,680
Speaker 1: most Republican district of the state and the most Republican

1039
01:02:27,720 --> 01:02:30,440
Speaker 1: area of that congressional district. She had a voter, she

1040
01:02:30,480 --> 01:02:32,640
Speaker 1: did not have a Democrat opponent in the general election,

1041
01:02:32,960 --> 01:02:35,560
Speaker 1: and there was about seventy thousand fewer voters in her

1042
01:02:35,680 --> 01:02:38,200
Speaker 1: district than in the neighboring district. And those are two

1043
01:02:38,240 --> 01:02:41,320
Speaker 1: of the most Republican areas of the state. So I

1044
01:02:41,520 --> 01:02:44,680
Speaker 1: hope that those mistakes that I've reached out to several

1045
01:02:44,800 --> 01:02:46,800
Speaker 1: super pacts working in the state, and I've told them,

1046
01:02:46,840 --> 01:02:48,720
Speaker 1: you know, you need to make sure you Yeah, I

1047
01:02:48,800 --> 01:02:50,360
Speaker 1: know it's only two percent of the state, but it

1048
01:02:50,480 --> 01:02:52,800
Speaker 1: is an important two percent the state for Republicans that

1049
01:02:52,880 --> 01:02:56,840
Speaker 1: you should be advertising. I know, Miss McConnell and Carl

1050
01:02:56,960 --> 01:02:58,760
Speaker 1: Rove are spending a lot of time and energy down

1051
01:02:58,840 --> 01:03:01,560
Speaker 1: there as well as well as Donald Trump Junior. The

1052
01:03:01,640 --> 01:03:04,440
Speaker 1: President had a huge turnout. Mike Pence's turnout has been

1053
01:03:05,080 --> 01:03:08,000
Speaker 1: fairly low. Honestly right now, it has not been that

1054
01:03:08,160 --> 01:03:10,840
Speaker 1: strong as far as turning out major A lot of

1055
01:03:10,880 --> 01:03:15,040
Speaker 1: people to his rallies goes, but they I mean the

1056
01:03:15,160 --> 01:03:18,040
Speaker 1: problem is is the messaging that Trump gave early on

1057
01:03:18,240 --> 01:03:20,680
Speaker 1: it don't vote early, vote day of I think it

1058
01:03:20,720 --> 01:03:22,560
Speaker 1: was the wrong message to really have. I think that

1059
01:03:22,800 --> 01:03:26,600
Speaker 1: voting early is really really important because you don't know

1060
01:03:26,680 --> 01:03:28,520
Speaker 1: what's going to happen on election day. You get sick,

1061
01:03:28,600 --> 01:03:31,800
Speaker 1: your kid gets sick. Yeah, there's a snowstorm, there's a hurricane,

1062
01:03:31,880 --> 01:03:34,760
Speaker 1: whatever the case is, and you can't get to the polls.

1063
01:03:35,480 --> 01:03:40,440
Speaker 1: And Democrats are definitely utilizing this early ballot system. As

1064
01:03:40,480 --> 01:03:43,880
Speaker 1: far as the problems that went on last time, I

1065
01:03:44,080 --> 01:03:45,880
Speaker 1: think that there is a major issue right now with

1066
01:03:45,920 --> 01:03:48,880
Speaker 1: the Secretary of State's office. It's not just the Secretary

1067
01:03:48,920 --> 01:03:51,960
Speaker 1: of State who's incompetent, which he is. He's basically just

1068
01:03:52,080 --> 01:03:54,400
Speaker 1: a rich guy who wanted to run for governor one day,

1069
01:03:54,800 --> 01:03:57,200
Speaker 1: so he ran for secretary of State as a platform

1070
01:03:57,280 --> 01:04:00,439
Speaker 1: to then run for governor with no experience being Secretary state.

1071
01:04:00,840 --> 01:04:03,200
Speaker 1: The deput Secretary state for her last name is Foush.

1072
01:04:03,240 --> 01:04:04,880
Speaker 1: I forget her. First night's Diae, but it might not

1073
01:04:04,880 --> 01:04:07,120
Speaker 1: be dynas Foush is the last name for that. She's

1074
01:04:07,160 --> 01:04:10,360
Speaker 1: been making a lot of the calls and she's incredibly incompetent.

1075
01:04:10,720 --> 01:04:13,360
Speaker 1: Her big plan earlier this year was she wanted to

1076
01:04:13,440 --> 01:04:16,640
Speaker 1: have Cardi B cut commercials for the state to ask

1077
01:04:16,720 --> 01:04:20,360
Speaker 1: for poll watchers. Now, if you're a Republican, what kind

1078
01:04:20,400 --> 01:04:23,400
Speaker 1: of poll watchers is Cardi B going to attract? Sit

1079
01:04:23,440 --> 01:04:26,080
Speaker 1: there and make sure everything's going okay for your election?

1080
01:04:27,520 --> 01:04:30,160
Speaker 1: This is what this is what the state is right

1081
01:04:30,200 --> 01:04:32,880
Speaker 1: now in the Secretary of State's office. So there's very

1082
01:04:32,880 --> 01:04:37,040
Speaker 1: little competence there. And basically, since the Senators have both

1083
01:04:37,200 --> 01:04:40,000
Speaker 1: called on him to resign because of his incompetency with

1084
01:04:40,160 --> 01:04:43,880
Speaker 1: this election, he has kind of been blowing a lot

1085
01:04:43,960 --> 01:04:49,560
Speaker 1: of people off. So would you say it's on track

1086
01:04:49,840 --> 01:04:53,080
Speaker 1: or are you concerned now about these two Senate seats

1087
01:04:53,520 --> 01:04:56,680
Speaker 1: that will determine control of the United States Senate for

1088
01:04:56,760 --> 01:05:00,680
Speaker 1: the next two years? Well, I'm certain. I mean, the

1089
01:05:00,840 --> 01:05:03,080
Speaker 1: landmark pole just came out. It's a pretty good polling

1090
01:05:03,120 --> 01:05:05,120
Speaker 1: for him in Georgia's as far as polls go, which

1091
01:05:05,120 --> 01:05:06,560
Speaker 1: a lot of them have been off, but it's a

1092
01:05:06,600 --> 01:05:08,960
Speaker 1: pretty good polling for him, and they both had Laffler

1093
01:05:09,040 --> 01:05:12,760
Speaker 1: and Purdue up by one point. The attack ads against

1094
01:05:12,800 --> 01:05:16,280
Speaker 1: Perdue are very very effective, and he has not been

1095
01:05:16,360 --> 01:05:18,960
Speaker 1: able to really respond to them. In the fact of

1096
01:05:19,000 --> 01:05:23,120
Speaker 1: the insider trading and selling so many stocks, it's been

1097
01:05:23,320 --> 01:05:26,360
Speaker 1: very very very very very effective. Now that being said,

1098
01:05:26,480 --> 01:05:29,280
Speaker 1: also is a known quantity in Georgia because of his

1099
01:05:29,320 --> 01:05:32,240
Speaker 1: congressional run, is high probode congressional run, and he's pretty

1100
01:05:32,360 --> 01:05:36,400
Speaker 1: well hated throughout Georgia. Nonetheless, if they're able to sit

1101
01:05:36,400 --> 01:05:38,280
Speaker 1: there in serge these people out of the inner city,

1102
01:05:39,080 --> 01:05:41,520
Speaker 1: we'll see. I will say the one thing going for

1103
01:05:41,760 --> 01:05:43,720
Speaker 1: them going for a Laffler and Purdue that was not

1104
01:05:43,880 --> 01:05:46,320
Speaker 1: going for a Trump is they do not alienate suburban

1105
01:05:46,680 --> 01:05:51,200
Speaker 1: white voters. In the same capacity, Perdue and Laffler both

1106
01:05:51,320 --> 01:05:55,120
Speaker 1: overperformed Trump, and we'll really Purdue becau. Laffler had another

1107
01:05:55,240 --> 01:05:59,360
Speaker 1: Republican but Purdue overperform Trump in the sixth and seven

1108
01:05:59,400 --> 01:06:03,480
Speaker 1: Congression district which are the two suburban Atlantic Congression districts

1109
01:06:03,720 --> 01:06:06,520
Speaker 1: that flow from Republican to Democrats since twenty eighteen, just

1110
01:06:06,600 --> 01:06:08,280
Speaker 1: to switching gears. Before we let you go, we're speaking

1111
01:06:08,280 --> 01:06:10,880
Speaker 1: of Ryan Grudusky, author, if they're not listening, how the

1112
01:06:10,960 --> 01:06:15,960
Speaker 1: elites created a national populist revolution. Ryan, You and I've

1113
01:06:15,960 --> 01:06:17,280
Speaker 1: talked to this before, but I want you to lay

1114
01:06:17,280 --> 01:06:21,120
Speaker 1: it out for everybody. In the post election analysis here,

1115
01:06:21,480 --> 01:06:25,160
Speaker 1: there was a problem for Trump with what was the

1116
01:06:25,240 --> 01:06:28,680
Speaker 1: primary What was it white working class voters not turning

1117
01:06:28,720 --> 01:06:33,640
Speaker 1: out enough, or was it white college educated suburban voters

1118
01:06:34,120 --> 01:06:36,560
Speaker 1: who either wouldn't vote for them or voted for Biden.

1119
01:06:37,360 --> 01:06:40,439
Speaker 1: So the main problem with the Trump campaign was their

1120
01:06:40,760 --> 01:06:43,640
Speaker 1: idea always was we're listening, We're gonna lose white college

1121
01:06:43,720 --> 01:06:46,680
Speaker 1: educated voters. Guy's kind of baked in the bread. So

1122
01:06:46,760 --> 01:06:49,000
Speaker 1: we're gonna make up for that by getting more minority

1123
01:06:49,080 --> 01:06:51,160
Speaker 1: voters out. Now in a state Lake Florida, in a

1124
01:06:51,240 --> 01:06:54,480
Speaker 1: state Lake Texas, that idea worked, and it worked very

1125
01:06:54,560 --> 01:06:56,480
Speaker 1: very well. They did an excellent job. And they did

1126
01:06:56,480 --> 01:06:58,680
Speaker 1: an excellent job, by the way, in almost every major

1127
01:06:58,760 --> 01:07:04,440
Speaker 1: city Los Angeles, New York, Philadelphia, Detroit, Cleveland, El Paso, Miami.

1128
01:07:04,880 --> 01:07:09,479
Speaker 1: All these cities, especially those experienced surges of the Black

1129
01:07:09,560 --> 01:07:13,280
Speaker 1: Lives Matter riots did vote more Republican, which was great.

1130
01:07:13,800 --> 01:07:18,800
Speaker 1: The problem is in places like Wisconsin, Arizona, Pennsylvania, there

1131
01:07:18,840 --> 01:07:21,200
Speaker 1: just were not enough of those voters to make up

1132
01:07:21,280 --> 01:07:23,440
Speaker 1: for the only way you were going to make up

1133
01:07:23,480 --> 01:07:27,280
Speaker 1: for that surge of non college educated, surge of college

1134
01:07:27,360 --> 01:07:31,040
Speaker 1: educated whites voting Democrat was by getting non college educated

1135
01:07:31,080 --> 01:07:34,080
Speaker 1: whites to vote Republican and more of them and registering them.

1136
01:07:34,400 --> 01:07:37,160
Speaker 1: There was never a ground game in place at all

1137
01:07:37,600 --> 01:07:39,920
Speaker 1: by any Republicans for the last four years. And I

1138
01:07:40,120 --> 01:07:44,120
Speaker 1: brought this idea to Brad Parscal back in twenty seventeen.

1139
01:07:44,160 --> 01:07:48,000
Speaker 1: I said, there are forty seven million non college educated

1140
01:07:48,120 --> 01:07:51,320
Speaker 1: white Americans who are not registered to vote. If you

1141
01:07:51,440 --> 01:07:54,200
Speaker 1: register ten percent of them, you don't have a problem.

1142
01:07:54,240 --> 01:07:56,080
Speaker 1: And most of those people, by the way, live in

1143
01:07:56,120 --> 01:07:58,280
Speaker 1: the Midwest. They live in the swing states that Trump

1144
01:07:58,280 --> 01:08:01,920
Speaker 1: flipped from Obama, so it's not impossible to sit there.

1145
01:08:02,000 --> 01:08:04,240
Speaker 1: And when every one of those states all over again,

1146
01:08:04,600 --> 01:08:07,240
Speaker 1: there is This is a truth about campaigns. When it

1147
01:08:07,240 --> 01:08:10,000
Speaker 1: comes to voter registrations, it's very difficult and there's not

1148
01:08:10,080 --> 01:08:11,960
Speaker 1: a lot of money in it, so there's not a

1149
01:08:12,000 --> 01:08:14,160
Speaker 1: lot of consultants who want to go run a voter

1150
01:08:14,280 --> 01:08:20,320
Speaker 1: registration organization, and looking up Brad Parscal made a lot

1151
01:08:20,400 --> 01:08:22,479
Speaker 1: of money off that campaign. It seems like he kind

1152
01:08:22,479 --> 01:08:23,720
Speaker 1: of took that advice. So there's not a lot of

1153
01:08:23,760 --> 01:08:26,320
Speaker 1: money in voter registration, let's look at doing other things.

1154
01:08:26,920 --> 01:08:29,519
Speaker 1: So they chased phantom Hispanic voters in New Mexico for

1155
01:08:29,640 --> 01:08:33,760
Speaker 1: three years and lo and behold, I mean it just

1156
01:08:33,840 --> 01:08:35,840
Speaker 1: didn't work out. I'll say there's one statistic for you

1157
01:08:35,880 --> 01:08:37,960
Speaker 1: before we go, because they know running a time, there

1158
01:08:38,000 --> 01:08:40,719
Speaker 1: were twenty three counties that flipped from Obama to Trump.

1159
01:08:40,880 --> 01:08:44,519
Speaker 1: In Wisconsin, twenty two of those twenty three counties, Trump

1160
01:08:44,640 --> 01:08:47,839
Speaker 1: increases percentage and they had over ninety percent turnout. Basically

1161
01:08:48,000 --> 01:08:51,200
Speaker 1: everybody you possibly want to do. They did great down

1162
01:08:51,640 --> 01:08:54,599
Speaker 1: ground game, but the number of registrated voters in those

1163
01:08:54,600 --> 01:08:58,320
Speaker 1: twenty three counties decreased by eight thousand, even though the

1164
01:08:58,439 --> 01:09:01,760
Speaker 1: population increased, because there was no effort on the part

1165
01:09:01,800 --> 01:09:04,559
Speaker 1: of the GUPE to registered new voters in those areas,

1166
01:09:04,680 --> 01:09:06,800
Speaker 1: especially those who have kind of formed by the way.

1167
01:09:06,800 --> 01:09:09,200
Speaker 1: So I don't believe the politicians help them. That is

1168
01:09:09,280 --> 01:09:12,400
Speaker 1: the big like the Rosanne voter, the shameless voter, those

1169
01:09:12,400 --> 01:09:14,479
Speaker 1: p those kind of characters who are in our country

1170
01:09:15,240 --> 01:09:18,080
Speaker 1: who feel like government doesn't respond to their needs. They're

1171
01:09:18,080 --> 01:09:19,680
Speaker 1: the ones going to be tapped into. And there was

1172
01:09:19,760 --> 01:09:22,080
Speaker 1: no effort on part of the GOP, the RNC, the

1173
01:09:22,160 --> 01:09:25,120
Speaker 1: Trump campaign thanks to Jared Kushner to reach out to

1174
01:09:25,160 --> 01:09:28,200
Speaker 1: those voters. They would have made the absolute difference, and

1175
01:09:28,880 --> 01:09:30,880
Speaker 1: voter fraud aside, he would have been able to win

1176
01:09:31,520 --> 01:09:33,679
Speaker 1: a bunch of those states that he lost. Ryan Grudusky

1177
01:09:33,800 --> 01:09:36,400
Speaker 1: check out his book They're Not Listening Billbill on Amazon. Ryan,

1178
01:09:36,600 --> 01:09:44,040
Speaker 1: always insightful man. Thanks for joining us. Thank you, you're

1179
01:09:44,120 --> 01:09:46,800
Speaker 1: in the freedom, hud This is the buck Sex and

1180
01:09:46,880 --> 01:09:54,519
Speaker 1: Show podcast shots have been administered. Hope is on the way,

1181
01:09:55,000 --> 01:09:58,240
Speaker 1: and our job here is to guarantee that this enough

1182
01:09:59,200 --> 01:10:03,000
Speaker 1: money to facilitate the delivery, as well as to do

1183
01:10:03,160 --> 01:10:05,960
Speaker 1: other things that we can agree on. And as I've

1184
01:10:06,000 --> 01:10:09,640
Speaker 1: said repeatedly, number one, we're not leaving here without a

1185
01:10:09,760 --> 01:10:12,719
Speaker 1: COVID package. Not gonna happen. We're gonna stay here until

1186
01:10:12,760 --> 01:10:16,960
Speaker 1: we get a COVID package, no longer, no matter how

1187
01:10:17,040 --> 01:10:20,280
Speaker 1: long it takes, We'll be here until we get a

1188
01:10:20,360 --> 01:10:24,800
Speaker 1: COVID package. They better get a COVID package. It's Really,

1189
01:10:25,120 --> 01:10:28,760
Speaker 1: it's so shameful that we're at this point. We've gone

1190
01:10:28,800 --> 01:10:32,240
Speaker 1: this many months where the federal government, I'm just gonna

1191
01:10:32,240 --> 01:10:35,320
Speaker 1: say it, the Congress and even at some levels the administration. Yeah,

1192
01:10:35,439 --> 01:10:39,439
Speaker 1: that's right, the administration not getting enough support to people

1193
01:10:39,800 --> 01:10:42,439
Speaker 1: who are suffering in these in these states where the

1194
01:10:42,520 --> 01:10:46,640
Speaker 1: lockdown libs are just making everything impossible. Well, what are

1195
01:10:46,640 --> 01:10:48,880
Speaker 1: they supposed to do? You're not allowed to work. Not

1196
01:10:49,080 --> 01:10:52,880
Speaker 1: everyone has savings to endure these tough times, right, So

1197
01:10:53,920 --> 01:10:57,439
Speaker 1: what is supposed to happen now? What's the reality of

1198
01:10:57,680 --> 01:11:01,479
Speaker 1: people's lives who don't get this don't get this assistance.

1199
01:11:01,720 --> 01:11:05,400
Speaker 1: Mcmcconnell tweeted this out earlier today. The American people need

1200
01:11:05,479 --> 01:11:08,280
Speaker 1: more help. We need vaccine distribution money, We need to

1201
01:11:08,320 --> 01:11:10,600
Speaker 1: re up the paycheck protection program to save jobs. We

1202
01:11:10,640 --> 01:11:13,680
Speaker 1: need to continue to provide for laid off Americans. Congressional

1203
01:11:13,800 --> 01:11:16,400
Speaker 1: leaders are on both sides are working until we get

1204
01:11:16,439 --> 01:11:20,080
Speaker 1: this done. I mean the fact that here we are,

1205
01:11:20,160 --> 01:11:23,439
Speaker 1: it's it's almost Christmas, they're almost going on vacation. They

1206
01:11:23,479 --> 01:11:30,120
Speaker 1: still haven't worked out this package because the vain, selfish,

1207
01:11:30,720 --> 01:11:36,480
Speaker 1: conniving Democrats and the somewhat ineffectual and you know, incompetent

1208
01:11:36,560 --> 01:11:39,920
Speaker 1: Republicans can't figure this thing out. It really really makes

1209
01:11:39,920 --> 01:11:45,000
Speaker 1: you wonder. They impoverish people, they destroy their businesses. They

1210
01:11:45,120 --> 01:11:47,040
Speaker 1: say they're going to send help, and then they don't

1211
01:11:47,080 --> 01:11:49,799
Speaker 1: send help, and they wonder why we have the feelings

1212
01:11:49,840 --> 01:11:52,639
Speaker 1: we do about politicians that about politics in this country.

1213
01:11:53,320 --> 01:11:55,200
Speaker 1: I'm sure they'll get some kind of a deal done,

1214
01:11:55,320 --> 01:11:57,080
Speaker 1: or I hope they'll get some kind of a deal done,

1215
01:11:57,200 --> 01:12:00,439
Speaker 1: but that it's taken this long in itself is a

1216
01:12:00,520 --> 01:12:04,200
Speaker 1: scandal and a disgrace, and we should remember that. Thanks

1217
01:12:04,240 --> 01:12:07,519
Speaker 1: for listening to The Bus Sesson Show podcasts. Remember to

1218
01:12:07,560 --> 01:12:11,360
Speaker 1: subscribe on Apple podcasts, the iHeartRadio app, or wherever you

1219
01:12:11,479 --> 01:12:15,640
Speaker 1: get your podcasts. Clearly, these numbers that I went over

1220
01:12:15,720 --> 01:12:18,920
Speaker 1: a moment ago, they're going in the wrong direction. We

1221
01:12:19,120 --> 01:12:21,439
Speaker 1: are just on the verge of a huge breakthrough with

1222
01:12:21,479 --> 01:12:24,080
Speaker 1: the vaccine, but we're also dealing with a second wave.

1223
01:12:24,160 --> 01:12:27,080
Speaker 1: We've got to beat it back. We've got to protect lives,

1224
01:12:27,120 --> 01:12:29,960
Speaker 1: we've got to protect our hospitals. So I think, unfortunately,

1225
01:12:29,960 --> 01:12:31,880
Speaker 1: I don't say it with anything but sorrow, but I

1226
01:12:31,960 --> 01:12:34,080
Speaker 1: do think it's needed. We're going to need to do

1227
01:12:34,760 --> 01:12:38,120
Speaker 1: some kind of shutdown in the weeks ahead, something that

1228
01:12:38,240 --> 01:12:43,160
Speaker 1: resembles the pause we were in in the Sprint shutdown

1229
01:12:43,280 --> 01:12:46,640
Speaker 1: number two in NYC. And oh, it's coming to a

1230
01:12:46,720 --> 01:12:49,400
Speaker 1: city near you. Two friends, wherever you are across the country,

1231
01:12:49,439 --> 01:12:51,280
Speaker 1: you're going to see more of this, more calls for this.

1232
01:12:52,040 --> 01:12:54,719
Speaker 1: Seems so strange to me that shutdowns work so well,

1233
01:12:55,479 --> 01:12:58,440
Speaker 1: or lockdowns work so well that they're always followed by shutdowns.

1234
01:12:58,520 --> 01:13:01,080
Speaker 1: What's that all about. I've got somebody who's willing to

1235
01:13:01,160 --> 01:13:03,400
Speaker 1: ask these questions. Look at the data, tell us what's

1236
01:13:03,400 --> 01:13:06,439
Speaker 1: really happening. Jordan shack Tell is with us now. He

1237
01:13:06,600 --> 01:13:11,760
Speaker 1: is an investigative journalist based in DC. Jordan, thanks so much. Yeah,

1238
01:13:11,840 --> 01:13:14,439
Speaker 1: thanks for having me. Buck, what do you make of

1239
01:13:15,080 --> 01:13:17,040
Speaker 1: what's happening right now? And you just give us your

1240
01:13:17,120 --> 01:13:20,120
Speaker 1: your broad stroke thoughts on what we're seeing here where

1241
01:13:20,280 --> 01:13:24,160
Speaker 1: you still have politicians say they act like this is

1242
01:13:24,439 --> 01:13:27,439
Speaker 1: some fight that we're gonna win, meaning that we're gonna

1243
01:13:27,520 --> 01:13:30,320
Speaker 1: stop this virus if only we just do what they say.

1244
01:13:30,960 --> 01:13:33,439
Speaker 1: And I want to know how many times across the world,

1245
01:13:33,640 --> 01:13:35,519
Speaker 1: not even just in the US, just in New York,

1246
01:13:35,720 --> 01:13:38,080
Speaker 1: across the world we have to see that it doesn't

1247
01:13:38,080 --> 01:13:41,800
Speaker 1: work like that. Yeah, this is a never ending war.

1248
01:13:41,920 --> 01:13:44,640
Speaker 1: It's like the you know, the war in Afghanistan, and

1249
01:13:44,800 --> 01:13:49,880
Speaker 1: now we're in the the vaccine edition of this process

1250
01:13:49,960 --> 01:13:52,880
Speaker 1: and this war that we're fighting. And I think that

1251
01:13:53,160 --> 01:13:55,000
Speaker 1: what's been really interesting that's come out in the past

1252
01:13:55,080 --> 01:13:58,400
Speaker 1: couple of days you see people like Fauci and the

1253
01:13:58,520 --> 01:14:01,720
Speaker 1: usual suspects and all these cockdown governor saying, oh, wait,

1254
01:14:01,800 --> 01:14:03,559
Speaker 1: hold on, hold on a second. You can't just return

1255
01:14:03,640 --> 01:14:05,360
Speaker 1: to normal life. You know, we need we need to

1256
01:14:05,439 --> 01:14:08,240
Speaker 1: get eighty ninety percent of this population the vaccine and

1257
01:14:08,280 --> 01:14:10,639
Speaker 1: then we can start thinking about it. And of course

1258
01:14:10,680 --> 01:14:14,839
Speaker 1: this is without any of the consent of the government whatsoever.

1259
01:14:15,000 --> 01:14:17,040
Speaker 1: You know, no one has voted on any of these policies,

1260
01:14:17,640 --> 01:14:21,120
Speaker 1: and they want to continue the insanity as long as possible,

1261
01:14:21,160 --> 01:14:23,840
Speaker 1: it seems. And what are you finding, I mean, what

1262
01:14:24,040 --> 01:14:26,800
Speaker 1: are some of the areas in your research that you're

1263
01:14:26,840 --> 01:14:29,599
Speaker 1: coming up on where you just feel like people need

1264
01:14:29,720 --> 01:14:33,040
Speaker 1: to know more about certain facts and certain realities we're

1265
01:14:33,080 --> 01:14:36,639
Speaker 1: dealing with here with COVID. So one of the really

1266
01:14:36,720 --> 01:14:39,240
Speaker 1: big things that we're going to see with this vaccine

1267
01:14:39,280 --> 01:14:42,559
Speaker 1: deployment is it's really going to expose how the COVID

1268
01:14:42,640 --> 01:14:46,680
Speaker 1: testing process is so incredibly broken, and that most of

1269
01:14:46,760 --> 01:14:52,960
Speaker 1: these testing manufacturers don't actually test for COVID nineteen. They

1270
01:14:53,000 --> 01:14:56,080
Speaker 1: are just trying to ring up some positives. Because this

1271
01:14:56,240 --> 01:14:58,879
Speaker 1: has become I just wrote about this. The testing industry

1272
01:14:59,040 --> 01:15:02,200
Speaker 1: has become a two hundred and fifty million dollar per

1273
01:15:02,360 --> 01:15:05,800
Speaker 1: day revenue industry just in the United States, so you

1274
01:15:05,880 --> 01:15:08,799
Speaker 1: can push that out globally and it's a multi billion

1275
01:15:08,880 --> 01:15:13,160
Speaker 1: dollar per day industry, and it's becoming almost too big

1276
01:15:13,240 --> 01:15:15,080
Speaker 1: to fail. And what we're going to see with the

1277
01:15:15,160 --> 01:15:19,920
Speaker 1: vaccine deployment is that people who have been inoculated from

1278
01:15:19,960 --> 01:15:23,760
Speaker 1: the virus may still test positive because as we know,

1279
01:15:23,840 --> 01:15:26,200
Speaker 1: a lot of these tests don't work. So it's going

1280
01:15:26,240 --> 01:15:28,120
Speaker 1: to create a lot of confusion among the public. And

1281
01:15:28,160 --> 01:15:31,280
Speaker 1: I don't see any of the people in government or

1282
01:15:31,360 --> 01:15:35,760
Speaker 1: these highly touted bureaucrats talking about this issue because it

1283
01:15:35,840 --> 01:15:38,000
Speaker 1: seems like with these big pharma companies, there's just too

1284
01:15:38,080 --> 01:15:40,960
Speaker 1: much money to be made, there's so much corruption, and

1285
01:15:41,160 --> 01:15:42,719
Speaker 1: we're just going to have to deal with this mess

1286
01:15:43,800 --> 01:15:49,599
Speaker 1: until people eventually organize and try to take the power back.

1287
01:15:50,400 --> 01:15:57,280
Speaker 1: What do we know about the fail rate on these tests, Yeah,

1288
01:15:57,400 --> 01:16:02,559
Speaker 1: it's incredibly high. What they do is um it's similar too.

1289
01:16:02,920 --> 01:16:05,480
Speaker 1: I guess the analogy you could use is a microscope,

1290
01:16:05,600 --> 01:16:08,920
Speaker 1: you know how many magnifications. If you go you know,

1291
01:16:09,040 --> 01:16:10,960
Speaker 1: ten X on a microscope, you're not going to see,

1292
01:16:11,120 --> 01:16:13,600
Speaker 1: you know, these these tiny fragments. And if you go

1293
01:16:14,000 --> 01:16:15,960
Speaker 1: one hundred X, you're going to see a bunch of stuff.

1294
01:16:16,439 --> 01:16:18,360
Speaker 1: But if you're going one hundred xs on these tests,

1295
01:16:18,479 --> 01:16:21,479
Speaker 1: you're not necessarily seeing live virus. You're seeing a bunch

1296
01:16:21,520 --> 01:16:25,240
Speaker 1: of fragments of stuff. And what happens with these ultra

1297
01:16:26,280 --> 01:16:29,680
Speaker 1: sensitive testing processes is that they're finding a bunch of

1298
01:16:30,200 --> 01:16:33,560
Speaker 1: dead virus or you know, some other fragments of coronaviruses

1299
01:16:33,920 --> 01:16:36,840
Speaker 1: and that's enough for them because they set it up

1300
01:16:36,880 --> 01:16:40,439
Speaker 1: this way to label these cases, to diagnose people as

1301
01:16:40,520 --> 01:16:43,519
Speaker 1: COVID nineteen cases, but they were never really you know, sick,

1302
01:16:44,040 --> 01:16:46,680
Speaker 1: or they never really acquired the actual virus in the

1303
01:16:46,760 --> 01:16:49,479
Speaker 1: first place. You can ask, is this like official record

1304
01:16:49,720 --> 01:16:52,160
Speaker 1: and no one just talks about it? Or is this contested?

1305
01:16:53,400 --> 01:16:55,639
Speaker 1: Oh no, this is this is how they're doing things.

1306
01:16:56,120 --> 01:16:58,800
Speaker 1: So it's called a cycle threshold. People can google that,

1307
01:16:59,280 --> 01:17:03,480
Speaker 1: and the psych goal threshold for identifying um these viruses

1308
01:17:03,960 --> 01:17:06,240
Speaker 1: is much lower. You know that when you get to

1309
01:17:06,800 --> 01:17:09,599
Speaker 1: these amazingly high levels, like a lot of these tests

1310
01:17:09,640 --> 01:17:14,320
Speaker 1: are doing thirty eight, thirty nine, forty times amplification instead

1311
01:17:14,360 --> 01:17:16,719
Speaker 1: of you know, the science really says that it should

1312
01:17:16,760 --> 01:17:19,559
Speaker 1: be below thirty based on you know, the work I've done.

1313
01:17:19,600 --> 01:17:22,599
Speaker 1: But what they're they're finding is, you know, they're they're

1314
01:17:22,680 --> 01:17:25,800
Speaker 1: purposely cranked up to a point where they're finding all

1315
01:17:25,840 --> 01:17:29,679
Speaker 1: these positives. And you know, my hypothesis is that they're

1316
01:17:29,720 --> 01:17:32,560
Speaker 1: doing it on purpose, because they know the information is

1317
01:17:32,600 --> 01:17:34,920
Speaker 1: out there, and they're doing it on purpose because you're

1318
01:17:34,920 --> 01:17:37,200
Speaker 1: not going to make any money if you're if your products,

1319
01:17:37,320 --> 01:17:39,839
Speaker 1: you know, are testing and then everyone's coming back negative.

1320
01:17:39,920 --> 01:17:43,759
Speaker 1: So I think it's really become a malicious, corrupt industry.

1321
01:17:44,120 --> 01:17:47,840
Speaker 1: And unfortunately it's it's encouraged by organizations like the FDA,

1322
01:17:47,960 --> 01:17:51,599
Speaker 1: which are just rubber stamping these these labs and these

1323
01:17:51,760 --> 01:17:55,880
Speaker 1: you know, other healthcare organizations and there's no accountability whatsoever

1324
01:17:56,000 --> 01:17:58,519
Speaker 1: in this process. And you know, they call it the

1325
01:17:58,600 --> 01:18:00,760
Speaker 1: case demic for a reason because we just have an

1326
01:18:00,800 --> 01:18:05,000
Speaker 1: out of control case labeling problem and it's kind of

1327
01:18:05,400 --> 01:18:08,160
Speaker 1: propping up this pandemic because on the other end of

1328
01:18:08,160 --> 01:18:12,320
Speaker 1: the spectrum, you have most state health departments. If anyone

1329
01:18:12,439 --> 01:18:16,320
Speaker 1: tests positive and dies within thirty days of a COVID

1330
01:18:16,439 --> 01:18:19,720
Speaker 1: nineteen diagnosis, they're labeled COVID nineteen no matter what. So

1331
01:18:19,880 --> 01:18:22,559
Speaker 1: when you have all these false positives, it's basically propping

1332
01:18:22,640 --> 01:18:26,320
Speaker 1: up an entire pandemic industry at this point, and also

1333
01:18:27,400 --> 01:18:30,799
Speaker 1: giving an excuse for these lockdown governors to just continue

1334
01:18:30,840 --> 01:18:33,919
Speaker 1: to keep us locked up in perpetuity. And a vaccine

1335
01:18:34,000 --> 01:18:37,080
Speaker 1: isn't going to solve that problem. We're speaking of Jordan's

1336
01:18:37,080 --> 01:18:40,320
Speaker 1: Shack Talley. He's an investigative, a journalist based in DC's

1337
01:18:40,360 --> 01:18:45,519
Speaker 1: been looking very closely at COVID. Jordan, I get a

1338
01:18:45,560 --> 01:18:49,040
Speaker 1: lot of heat from people for just even asking questions

1339
01:18:49,200 --> 01:18:54,320
Speaker 1: about masks. And I understand the theory behind how masks

1340
01:18:54,360 --> 01:18:56,559
Speaker 1: work and in the certain situations where masks could work,

1341
01:18:56,600 --> 01:18:59,640
Speaker 1: And I know that you know that this is now

1342
01:18:59,800 --> 01:19:02,160
Speaker 1: a very touchy subject for a lot of people. I

1343
01:19:02,200 --> 01:19:04,639
Speaker 1: would ask you to explain. Explain this to me. Based

1344
01:19:04,680 --> 01:19:06,840
Speaker 1: on the data that you've seen and all the numbers

1345
01:19:06,880 --> 01:19:09,720
Speaker 1: that you've crunched. In New York City, we're told that

1346
01:19:09,800 --> 01:19:12,000
Speaker 1: there is this is the official New York City Health

1347
01:19:12,040 --> 01:19:15,840
Speaker 1: Department number. One point seven percent of COVID spread in

1348
01:19:15,880 --> 01:19:19,960
Speaker 1: this current wave comes from indoor dining and restaurants. So

1349
01:19:20,080 --> 01:19:23,559
Speaker 1: that's a situation where people are in an enclosed space,

1350
01:19:24,000 --> 01:19:27,240
Speaker 1: circulated the same air with no mask on while they're

1351
01:19:27,280 --> 01:19:30,000
Speaker 1: eating for hours at a time. That's one point seven

1352
01:19:30,080 --> 01:19:33,599
Speaker 1: percent of the spread. Yet I walk around the streets

1353
01:19:33,760 --> 01:19:37,360
Speaker 1: outside here, and I'd say ninety to ninety five percent

1354
01:19:37,400 --> 01:19:43,320
Speaker 1: of people outdoors walking alone primarily have masks on. Where

1355
01:19:43,479 --> 01:19:47,480
Speaker 1: is the science, What is the study that suggests that outdoor,

1356
01:19:47,840 --> 01:19:52,400
Speaker 1: open air spread of a person alone walking around a

1357
01:19:52,479 --> 01:19:56,519
Speaker 1: major city is at risk for COVID? Yeah, there is none.

1358
01:19:57,120 --> 01:19:59,000
Speaker 1: A lot of us have been looking into this for months,

1359
01:19:59,400 --> 01:20:03,639
Speaker 1: and it's it's total mythology. It's based on this notion

1360
01:20:03,800 --> 01:20:07,800
Speaker 1: that there's you know, these silent spreaders. But this idea

1361
01:20:07,880 --> 01:20:11,559
Speaker 1: has never actually been proven. And as you just said

1362
01:20:11,640 --> 01:20:14,280
Speaker 1: when you talked about the data of you know, the

1363
01:20:14,360 --> 01:20:16,880
Speaker 1: New York City Health Department when they're track, when they're

1364
01:20:17,040 --> 01:20:19,280
Speaker 1: doing this useless contact tracing and asking people, you know,

1365
01:20:19,400 --> 01:20:21,679
Speaker 1: how what did you do in the last couple of weeks?

1366
01:20:21,760 --> 01:20:24,920
Speaker 1: And some people have went to a restaurant, but only

1367
01:20:25,320 --> 01:20:29,160
Speaker 1: one percent or whatever could identify the restaurant as being

1368
01:20:29,840 --> 01:20:33,760
Speaker 1: possibly the source of infection. There's no science behind this

1369
01:20:34,000 --> 01:20:41,840
Speaker 1: asymptomatic spread stuff. It's just pure speculation. There's no all

1370
01:20:41,960 --> 01:20:47,479
Speaker 1: these scientific papers, they don't really track asymptomatic spread. They

1371
01:20:47,920 --> 01:20:51,519
Speaker 1: model asymptomatic spread based on the hypothesis that it actually exists.

1372
01:20:52,120 --> 01:20:55,800
Speaker 1: But that's the whole basis for masks too. So we're

1373
01:20:55,880 --> 01:21:03,360
Speaker 1: doing all these we're basically unwilling participants in a countrywide

1374
01:21:03,560 --> 01:21:08,200
Speaker 1: and global medical experiment with these masks. But the whole

1375
01:21:08,680 --> 01:21:11,439
Speaker 1: idea behind asymptomatic spread hasn't been proven. So the whole

1376
01:21:11,520 --> 01:21:14,840
Speaker 1: thing is just ridiculous. And I'm already seeing and this

1377
01:21:15,040 --> 01:21:17,719
Speaker 1: is this is common now. You'll hear them say, even

1378
01:21:17,760 --> 01:21:21,920
Speaker 1: if you're vaccinated, you have to continue all of the measures,

1379
01:21:22,000 --> 01:21:24,880
Speaker 1: the protective measures that we institute, never mind the fact

1380
01:21:24,920 --> 01:21:27,960
Speaker 1: that protective measures are on a shaky ground at best

1381
01:21:28,040 --> 01:21:33,519
Speaker 1: in many cases. But even after you're vaccinated, because we

1382
01:21:33,760 --> 01:21:38,560
Speaker 1: don't know, but theoretically you could still get infected and

1383
01:21:38,640 --> 01:21:41,840
Speaker 1: pass the virus to other people, even though you won't

1384
01:21:41,880 --> 01:21:44,360
Speaker 1: have symptoms yourself. I mean to this, I just want

1385
01:21:44,400 --> 01:21:47,639
Speaker 1: to say, what the hell are they talking about? Where else?

1386
01:21:47,760 --> 01:21:51,840
Speaker 1: And where else? In pandemic or public health is this

1387
01:21:51,960 --> 01:21:54,400
Speaker 1: the policies, This the idea, we don't know if this

1388
01:21:54,560 --> 01:21:56,960
Speaker 1: thing could happen, but we're gonna make you do stuff

1389
01:21:57,000 --> 01:22:00,559
Speaker 1: because you know, theoretically, maybe it could happen. And also

1390
01:22:00,640 --> 01:22:06,120
Speaker 1: on asymptomatic spread, the guidance for dealing with flu, for example,

1391
01:22:06,280 --> 01:22:08,000
Speaker 1: is always you know, if you have symptoms, stay away

1392
01:22:08,000 --> 01:22:10,120
Speaker 1: from If you're sick, stay away from people. And I'm

1393
01:22:10,160 --> 01:22:12,240
Speaker 1: fine with then. If you're sick, you stay away, If

1394
01:22:12,280 --> 01:22:14,559
Speaker 1: you're sick, you quarantine, you know, et cetera. That makes

1395
01:22:14,600 --> 01:22:17,439
Speaker 1: perfect sense to me, no problem without whatsoever. But you

1396
01:22:17,520 --> 01:22:20,840
Speaker 1: bring up the asymptomatic spread issue, and we've been led.

1397
01:22:20,880 --> 01:22:24,920
Speaker 1: I mean, the mantra now is that asymptomatic spread is

1398
01:22:25,160 --> 01:22:27,840
Speaker 1: almost a majority of the spread that's going on. How

1399
01:22:27,960 --> 01:22:31,000
Speaker 1: is that possible? Yeah, it's total speculation. And when they're

1400
01:22:31,000 --> 01:22:34,040
Speaker 1: when they're trying to make policies based on unknowns, that's

1401
01:22:34,080 --> 01:22:37,480
Speaker 1: just so insane and suicidal. Like there's also a possibility

1402
01:22:37,600 --> 01:22:40,000
Speaker 1: that you know, when I when I get in my car,

1403
01:22:40,600 --> 01:22:42,240
Speaker 1: I'm going to get hit by a bus. You know,

1404
01:22:42,400 --> 01:22:45,040
Speaker 1: that could happen to anyone. But you don't live your

1405
01:22:45,120 --> 01:22:49,519
Speaker 1: life based on potential outcomes that could happen when you,

1406
01:22:50,080 --> 01:22:52,840
Speaker 1: you know, go outside of your safety zone. People need

1407
01:22:52,920 --> 01:22:54,960
Speaker 1: to be allowed to live their lives. So the idea

1408
01:22:55,040 --> 01:22:57,639
Speaker 1: that you know, because you've been because the vaccine isn't

1409
01:22:57,680 --> 01:23:03,640
Speaker 1: proven to slow this mythical idea of asymptomatic spread, that

1410
01:23:03,760 --> 01:23:06,720
Speaker 1: we all need to keep our businesses shut down and

1411
01:23:06,840 --> 01:23:10,880
Speaker 1: our stay at home and forever because these people are

1412
01:23:10,920 --> 01:23:13,599
Speaker 1: telling us it's amazing how far they've moved the goalpost.

1413
01:23:13,680 --> 01:23:16,120
Speaker 1: I mean a guy like Faucci and March was saying, oh,

1414
01:23:16,240 --> 01:23:18,320
Speaker 1: you know, just just stay home for two weeks. And

1415
01:23:18,479 --> 01:23:21,320
Speaker 1: now Faucci did an interview today saying that, oh yeah,

1416
01:23:21,320 --> 01:23:23,559
Speaker 1: we're gonna have to wear masks in social distance until

1417
01:23:23,920 --> 01:23:25,880
Speaker 1: next winter, not this winter. We're gonna have to go

1418
01:23:26,040 --> 01:23:29,240
Speaker 1: till you know, twenty twenty two. Now, like what these

1419
01:23:29,320 --> 01:23:32,839
Speaker 1: people have been given so much power that is basically

1420
01:23:34,080 --> 01:23:37,720
Speaker 1: driven us, you know, society completely insane because we keep

1421
01:23:37,720 --> 01:23:40,479
Speaker 1: following these people recommendations, they keep getting power, they keep

1422
01:23:40,520 --> 01:23:43,080
Speaker 1: getting the spot like they're loving it and they don't

1423
01:23:43,080 --> 01:23:46,960
Speaker 1: want to give it back, and the reality tells us

1424
01:23:47,040 --> 01:23:48,920
Speaker 1: that we're just going to have to take it back

1425
01:23:48,960 --> 01:23:53,120
Speaker 1: from them and ignore them. At this point, Jordan, when

1426
01:23:53,439 --> 01:23:55,080
Speaker 1: do you think that will happen. I mean, one of

1427
01:23:55,160 --> 01:23:57,240
Speaker 1: my big disappointments. And I keep saying this to people

1428
01:23:57,240 --> 01:24:00,679
Speaker 1: would come on who share a willingness to be reality

1429
01:24:00,760 --> 01:24:03,880
Speaker 1: based about all this COVID stuff and ask important questions

1430
01:24:03,920 --> 01:24:06,559
Speaker 1: and understand the trade off that are being made. I mean,

1431
01:24:06,600 --> 01:24:08,400
Speaker 1: I'm here in New York. I feel like New Yorkers

1432
01:24:08,439 --> 01:24:11,160
Speaker 1: will if we were told, if we were told, sorry, guys,

1433
01:24:11,640 --> 01:24:16,240
Speaker 1: mask up social distance and intermittent lockdowns for the next

1434
01:24:16,320 --> 01:24:19,759
Speaker 1: five years. That's what the FOUCH tells us. The Fouch

1435
01:24:19,840 --> 01:24:22,559
Speaker 1: has spoken, you'd have a lot of people say, yeah,

1436
01:24:22,560 --> 01:24:25,400
Speaker 1: five years, got to do it. I mean maybe a

1437
01:24:25,479 --> 01:24:30,040
Speaker 1: majority of people in this city, which is just madness. Yeah,

1438
01:24:30,080 --> 01:24:33,760
Speaker 1: the people here are insane too. I'm going to I'm

1439
01:24:33,800 --> 01:24:36,760
Speaker 1: going to Florida for a couple of weeks this winter,

1440
01:24:36,960 --> 01:24:39,680
Speaker 1: and Florida is like the perfect example of I think

1441
01:24:39,680 --> 01:24:42,760
Speaker 1: it's going to have to happen in pockets and with

1442
01:24:42,960 --> 01:24:46,160
Speaker 1: people that are lucky enough to have responsible leaders like

1443
01:24:46,400 --> 01:24:49,880
Speaker 1: you know, governed Governor Santis and Florida. In New York City,

1444
01:24:49,920 --> 01:24:53,440
Speaker 1: in DC, ninety percent of the people have been propagandized

1445
01:24:53,479 --> 01:24:56,640
Speaker 1: by this idiocy. And I thought in the beginning that

1446
01:24:57,200 --> 01:24:58,880
Speaker 1: after a couple of months people would wake up. But

1447
01:24:59,000 --> 01:25:00,880
Speaker 1: you know, it's been like a year. So I'm thinking

1448
01:25:00,960 --> 01:25:04,479
Speaker 1: that maybe my my my read on human psychology, who

1449
01:25:04,600 --> 01:25:07,080
Speaker 1: was just off unfortunately, and that people are willing to

1450
01:25:07,160 --> 01:25:10,920
Speaker 1: be programmed to you know, just live live in fear.

1451
01:25:11,040 --> 01:25:14,280
Speaker 1: You know. It's just like this giant social psychosis of

1452
01:25:14,760 --> 01:25:18,760
Speaker 1: Stockholm syndrome. And it's just it's unfortunate that people are

1453
01:25:18,840 --> 01:25:22,639
Speaker 1: just acting as cattle. And it's it's funny you bring

1454
01:25:22,720 --> 01:25:24,360
Speaker 1: that up. And I was just telling I was just

1455
01:25:24,400 --> 01:25:27,080
Speaker 1: telling this audience yesterday that it does remind me of

1456
01:25:27,320 --> 01:25:31,280
Speaker 1: of a terrorist hostage taking situation, where when we just

1457
01:25:31,360 --> 01:25:34,000
Speaker 1: get a little glimpse, you know, when the terrorist, you know,

1458
01:25:34,160 --> 01:25:37,439
Speaker 1: throws you the the crusts of cold pizza that have

1459
01:25:37,520 --> 01:25:40,600
Speaker 1: been brought to them by the hostage negotiators. You know,

1460
01:25:40,640 --> 01:25:42,760
Speaker 1: the people that have been taken hostage, they're grateful for it,

1461
01:25:42,920 --> 01:25:45,120
Speaker 1: right because they're oh my gosh, they're they're starving, right,

1462
01:25:45,160 --> 01:25:46,600
Speaker 1: or when they're allowed to go to the bathroom, or

1463
01:25:46,600 --> 01:25:49,400
Speaker 1: when they're just treated with any basic human dignity, there

1464
01:25:49,439 --> 01:25:52,240
Speaker 1: actually will be this sense of gratitude to the hostage

1465
01:25:52,280 --> 01:25:54,519
Speaker 1: taker instead of oh my god, I should, you know,

1466
01:25:54,600 --> 01:25:56,240
Speaker 1: take the oozy out of your hands, and you know,

1467
01:25:57,000 --> 01:25:58,880
Speaker 1: they go to this other place sometimes, and that's just

1468
01:25:58,920 --> 01:26:01,200
Speaker 1: the way human psychology for a lot of people. I

1469
01:26:01,360 --> 01:26:05,760
Speaker 1: think that we're facing that with these lockdowns where oh, okay, well,

1470
01:26:05,840 --> 01:26:07,600
Speaker 1: well for a month we'll be able to go to

1471
01:26:07,680 --> 01:26:09,880
Speaker 1: the gym and then maybe they'll shut it down again.

1472
01:26:10,000 --> 01:26:12,160
Speaker 1: But at least they're trying. I want to say, no,

1473
01:26:13,200 --> 01:26:17,360
Speaker 1: they're not trying. They're not making the right decisions. Yeah,

1474
01:26:17,840 --> 01:26:22,320
Speaker 1: it's just at this point, my patience is non existent

1475
01:26:22,439 --> 01:26:24,880
Speaker 1: with these type of people. I know that they've been

1476
01:26:24,960 --> 01:26:29,439
Speaker 1: psychologically pushed into this cave of fear, but you know,

1477
01:26:29,640 --> 01:26:33,519
Speaker 1: enough is enough. I'm not going to I feel like

1478
01:26:33,680 --> 01:26:37,479
Speaker 1: my patience has just worn out. I don't you know.

1479
01:26:37,760 --> 01:26:40,519
Speaker 1: If people will keep wanting to wear masks outside and

1480
01:26:40,840 --> 01:26:43,519
Speaker 1: think that they're you know, doing something virtuous, that then

1481
01:26:43,600 --> 01:26:45,880
Speaker 1: good on them. At this point, I think we just

1482
01:26:46,040 --> 01:26:48,960
Speaker 1: need to build a coalition around, you know, the people

1483
01:26:49,000 --> 01:26:51,160
Speaker 1: who are still sane and try to make a difference

1484
01:26:51,160 --> 01:26:53,840
Speaker 1: with those folks, because it's been almost a year and

1485
01:26:54,360 --> 01:26:57,599
Speaker 1: these people have been so manipulated and propagandized, and if

1486
01:26:57,640 --> 01:26:59,720
Speaker 1: they're gonna be you know, spineless, cowards for the rest

1487
01:26:59,760 --> 01:27:02,000
Speaker 1: of their lives, and they can go ahead and do so.

1488
01:27:02,320 --> 01:27:05,200
Speaker 1: I just I'm at that point right now where we

1489
01:27:05,360 --> 01:27:08,200
Speaker 1: just have to figure out how we can create free

1490
01:27:08,280 --> 01:27:11,720
Speaker 1: societies and pockets. And the people of you know, New

1491
01:27:11,800 --> 01:27:14,760
Speaker 1: York and DC are basically at this point. If they

1492
01:27:14,800 --> 01:27:16,559
Speaker 1: if they are not going to do anything, then we're

1493
01:27:16,600 --> 01:27:20,240
Speaker 1: not going to continue to fight for them. Jordan Shack

1494
01:27:20,320 --> 01:27:23,960
Speaker 1: tell investigative journalists down in DC. Jordan, God bless her

1495
01:27:24,040 --> 01:27:25,639
Speaker 1: the holidays. Man, We'll talk to you in the new year.

1496
01:27:26,360 --> 01:27:31,080
Speaker 1: Thanks for having me. You're in the freedom of This

1497
01:27:31,400 --> 01:27:37,680
Speaker 1: is the Buck Sex and Show podcast. First thing, It's

1498
01:27:37,720 --> 01:27:39,640
Speaker 1: not going to be like turning a light switch on

1499
01:27:39,800 --> 01:27:42,400
Speaker 1: and off. It's not going to be overnight. It's going

1500
01:27:42,479 --> 01:27:45,120
Speaker 1: to be gradual. And I think we will know when

1501
01:27:45,240 --> 01:27:48,559
Speaker 1: we see the level of infection in the country at

1502
01:27:48,600 --> 01:27:52,040
Speaker 1: a dramatically lower level than it is right now, that

1503
01:27:52,240 --> 01:27:56,960
Speaker 1: we can start gradually tiptoeing towards normality. I don't believe

1504
01:27:57,040 --> 01:27:59,240
Speaker 1: we're going to be able to throw the masks away

1505
01:27:59,360 --> 01:28:04,360
Speaker 1: and forget about physical separation and congrete settings for a while,

1506
01:28:04,600 --> 01:28:07,080
Speaker 1: probably likely until we get into the lake ball in

1507
01:28:07,280 --> 01:28:10,280
Speaker 1: early next winter. But I think we can do it

1508
01:28:10,640 --> 01:28:15,160
Speaker 1: another year, folks. That's Vrouci right now, Another another year

1509
01:28:15,439 --> 01:28:20,280
Speaker 1: of this, that's what he's saying. You think that's fair minded. Now,

1510
01:28:20,400 --> 01:28:23,120
Speaker 1: notice he says it's not a light switch, it's gradual. Why.

1511
01:28:23,520 --> 01:28:25,400
Speaker 1: I thought this was about saving lives, and that if

1512
01:28:25,439 --> 01:28:27,439
Speaker 1: you disagree with any of the measures being taken, you

1513
01:28:27,479 --> 01:28:30,559
Speaker 1: don't care about lives. So we should take no risk. Then,

1514
01:28:30,840 --> 01:28:33,280
Speaker 1: so we should have maximum lockdown. Why not just tell

1515
01:28:33,320 --> 01:28:35,400
Speaker 1: everybody their stay at home orders across the country for

1516
01:28:35,439 --> 01:28:37,720
Speaker 1: the next ninety days. Can't leave your house once a

1517
01:28:37,760 --> 01:28:40,040
Speaker 1: week to get groceries like they had in Italy and

1518
01:28:40,240 --> 01:28:43,800
Speaker 1: find and imprisoned if you don't listen. Now, of course

1519
01:28:43,880 --> 01:28:46,360
Speaker 1: I think that's all insane. But I'm just saying, what's there? Oh,

1520
01:28:46,479 --> 01:28:49,000
Speaker 1: because that's just too much. But I thought this was

1521
01:28:49,040 --> 01:28:52,080
Speaker 1: about lives, and you can't argue with them because that's

1522
01:28:52,400 --> 01:28:55,160
Speaker 1: the way they set this whole thing up. It turns

1523
01:28:55,200 --> 01:28:59,640
Speaker 1: out that there are restrictions on freedom. It turns out

1524
01:28:59,680 --> 01:29:02,400
Speaker 1: there are trade offs that they can demand even with

1525
01:29:02,560 --> 01:29:06,840
Speaker 1: their oh it's about lives formulation that are too extreme.

1526
01:29:07,439 --> 01:29:12,439
Speaker 1: So we are negotiating over what is acceptable, even though

1527
01:29:12,479 --> 01:29:14,680
Speaker 1: they think that we are just supposed to be dictated to.

1528
01:29:15,040 --> 01:29:18,679
Speaker 1: We are constantly in a state of figuring out where

1529
01:29:18,760 --> 01:29:23,639
Speaker 1: we draw these lines, figuring out what's too much, what's enough.

1530
01:29:24,920 --> 01:29:29,160
Speaker 1: And I think that anyone who believes that we should

1531
01:29:29,200 --> 01:29:31,479
Speaker 1: go through this for another year is is just out

1532
01:29:31,520 --> 01:29:36,120
Speaker 1: of their mind, just out of their mind. There's no

1533
01:29:36,320 --> 01:29:38,280
Speaker 1: reason to believe that that's what we should have to do,

1534
01:29:38,479 --> 01:29:41,840
Speaker 1: especially given to the vaccine. Fifty percent of the deaths

1535
01:29:41,840 --> 01:29:45,559
Speaker 1: are in It's not among senior citizens, it's in senior

1536
01:29:45,680 --> 01:29:50,200
Speaker 1: citizen homes, which means that if we get the vaccines

1537
01:29:50,280 --> 01:29:53,000
Speaker 1: to people in senior citizens homes will cut the death

1538
01:29:53,120 --> 01:29:57,000
Speaker 1: rate in half. In half. That's by the numbers, that's

1539
01:29:57,040 --> 01:29:59,599
Speaker 1: by the statistics, and then we can focus on getting

1540
01:29:59,600 --> 01:30:03,160
Speaker 1: into the risk population. If we can't cut the death

1541
01:30:03,360 --> 01:30:08,439
Speaker 1: rate of COVID nineteen by seventy five percent within sixty days,

1542
01:30:08,560 --> 01:30:13,479
Speaker 1: we're doing something wrong. That should be our goal. And

1543
01:30:13,960 --> 01:30:17,479
Speaker 1: when this is down, you're gonna tell me we can't

1544
01:30:17,520 --> 01:30:20,840
Speaker 1: start to live life again. Not on my watch. We're

1545
01:30:20,880 --> 01:30:23,680
Speaker 1: gonna fight on this one. Thanks for listening to The

1546
01:30:23,800 --> 01:30:27,879
Speaker 1: bus Sex Show podcasts. Remember to subscribe on Apple podcast,

1547
01:30:28,120 --> 01:30:37,160
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. Team buck,

1548
01:30:37,760 --> 01:30:50,680
Speaker 1: it's time for roll Call. Roll Call. Remember to go

1549
01:30:50,720 --> 01:30:53,479
Speaker 1: to bucksexon dot com and check in on our latest

1550
01:30:53,479 --> 01:30:56,080
Speaker 1: posts and stories. You can also listen to the podcast

1551
01:30:56,120 --> 01:30:58,519
Speaker 1: of the buck Section show there. So if anyone ever

1552
01:30:58,720 --> 01:31:00,280
Speaker 1: is like, hey, how do I listen to Bucks Exton

1553
01:31:00,320 --> 01:31:01,560
Speaker 1: or who is this guy? Just tell them to go

1554
01:31:01,640 --> 01:31:06,040
Speaker 1: to buck Sexton dot com. That is the move. That's

1555
01:31:06,080 --> 01:31:09,720
Speaker 1: what we got to do. And we also want you

1556
01:31:09,800 --> 01:31:11,960
Speaker 1: to follow on all the various social media accounts or

1557
01:31:12,000 --> 01:31:15,559
Speaker 1: whichever ones you use. We're on Facebook, We're on Twitter,

1558
01:31:15,760 --> 01:31:20,240
Speaker 1: We're on parlor of course, we're on Instagram. We're all

1559
01:31:20,439 --> 01:31:23,920
Speaker 1: over the place. So even on TikTok, I know some

1560
01:31:24,040 --> 01:31:25,840
Speaker 1: of you say, oh, Buck, the Chinese are spying on you.

1561
01:31:25,880 --> 01:31:29,639
Speaker 1: I already told you they have They have my OPM file. Officially,

1562
01:31:29,720 --> 01:31:31,920
Speaker 1: they have it. They took it, okay, so they already

1563
01:31:32,000 --> 01:31:34,599
Speaker 1: know a lot about the Buckster. I'm not particularly worried.

1564
01:31:34,760 --> 01:31:36,840
Speaker 1: And whatever I put, what I put on TikTok is

1565
01:31:37,600 --> 01:31:40,640
Speaker 1: China is a problem. So I think they already know that.

1566
01:31:41,240 --> 01:31:43,360
Speaker 1: They already know that. Producer, Mark, You're ready for this

1567
01:31:43,560 --> 01:31:46,080
Speaker 1: crazy snowstorm. We're about to get walloped with in the

1568
01:31:46,120 --> 01:31:48,639
Speaker 1: New York, New Jersey area. I don't plan on going outside.

1569
01:31:49,560 --> 01:31:54,639
Speaker 1: They're saying two feet of snow. Yeah, that's a lot

1570
01:31:54,720 --> 01:31:57,599
Speaker 1: of snow. Not having a car right now is just great.

1571
01:31:58,600 --> 01:32:01,560
Speaker 1: I do remember when I lived in central Massachusetts in

1572
01:32:01,560 --> 01:32:04,280
Speaker 1: the Pioneer Valley for four years of college that after

1573
01:32:04,320 --> 01:32:06,840
Speaker 1: a really after a really big snowstorm, get going out

1574
01:32:06,880 --> 01:32:09,000
Speaker 1: to your car because it was always freezing outside. It's

1575
01:32:09,040 --> 01:32:11,679
Speaker 1: not like it's snows and then it's sixty degrees because

1576
01:32:11,760 --> 01:32:14,000
Speaker 1: obviously it would melt anyway, but it's not like it snows.

1577
01:32:14,040 --> 01:32:15,640
Speaker 1: Then you have a nice day and you can just

1578
01:32:16,040 --> 01:32:17,640
Speaker 1: you know, you always end up going out because you

1579
01:32:17,680 --> 01:32:20,559
Speaker 1: gotta usually use your car when the snow is still happening,

1580
01:32:21,160 --> 01:32:23,760
Speaker 1: and you gotta take like the what do you call

1581
01:32:23,840 --> 01:32:25,400
Speaker 1: those things you know that you keep in the trunk

1582
01:32:25,439 --> 01:32:30,040
Speaker 1: the brush, Yeah, the car brush, the scrapers, brush, scraper,

1583
01:32:30,080 --> 01:32:31,360
Speaker 1: that's what do you do? Have one of those? Yeah?

1584
01:32:31,360 --> 01:32:33,599
Speaker 1: Of course my wife still has one in your car. Yeah,

1585
01:32:33,800 --> 01:32:36,080
Speaker 1: you gotta get there. I will say, though, it's satisfying

1586
01:32:36,120 --> 01:32:38,240
Speaker 1: when you break that big chunk of ice on your

1587
01:32:38,280 --> 01:32:39,880
Speaker 1: windshield and get to throw it off, you know, you

1588
01:32:39,960 --> 01:32:42,160
Speaker 1: feel like a real man. I used to love the

1589
01:32:42,240 --> 01:32:44,360
Speaker 1: snow and stuff as a kid. But once you have

1590
01:32:44,439 --> 01:32:46,320
Speaker 1: to shovel it yourself and clean off your car, no,

1591
01:32:46,439 --> 01:32:50,280
Speaker 1: it's not satisfying. It's not fun. It's my little hands

1592
01:32:50,320 --> 01:32:52,040
Speaker 1: get cold and you know, and then I got to

1593
01:32:52,040 --> 01:32:54,160
Speaker 1: wear gloves. But the gloves don't allow me the same

1594
01:32:54,280 --> 01:32:57,880
Speaker 1: dexterity I would normally have. Yep, yep, yep. Actually the

1595
01:32:58,000 --> 01:33:00,439
Speaker 1: only time in my life I was towed was during

1596
01:33:00,479 --> 01:33:04,479
Speaker 1: a snowstorm in Amherst, Massachusetts. They towed my car. My

1597
01:33:04,680 --> 01:33:09,760
Speaker 1: my I had a wood paneled Buick Roadmaster. Those of

1598
01:33:09,840 --> 01:33:11,280
Speaker 1: you who don't know, if you see one of those

1599
01:33:11,360 --> 01:33:13,679
Speaker 1: now on the road, they're actually they're considered a classic.

1600
01:33:13,720 --> 01:33:16,640
Speaker 1: And I mean that they're actually they're listed as a

1601
01:33:16,720 --> 01:33:20,240
Speaker 1: classic car. Now. That's because they're from the early nineteen nineties,

1602
01:33:20,280 --> 01:33:23,000
Speaker 1: so we're going back now thirty years those cars. Isn't

1603
01:33:23,000 --> 01:33:26,920
Speaker 1: that like the quintessential like eighties nineties American car. So

1604
01:33:27,600 --> 01:33:30,840
Speaker 1: in the eighties there was this wood paneled kind of

1605
01:33:30,960 --> 01:33:33,400
Speaker 1: a look like a station wagon a little different called

1606
01:33:33,400 --> 01:33:35,800
Speaker 1: the wagon ear. A lot of people had wagon ears.

1607
01:33:35,840 --> 01:33:37,639
Speaker 1: Those are pretty cool, like I would drive a wagon

1608
01:33:37,680 --> 01:33:41,640
Speaker 1: ear today. But there was also there was I think

1609
01:33:41,680 --> 01:33:46,560
Speaker 1: an Oldsmobile station wagon that was very, very pop Oldsmobile

1610
01:33:46,560 --> 01:33:49,200
Speaker 1: station waking is very popular. Does Oldsmobile even exists anymore?

1611
01:33:49,200 --> 01:33:51,120
Speaker 1: I don't think it does. I don't think so. I

1612
01:33:51,160 --> 01:33:53,840
Speaker 1: don't think I don't think so. But I was in

1613
01:33:53,920 --> 01:33:58,320
Speaker 1: the Roadmaster, which is not quite the car in the

1614
01:33:58,479 --> 01:34:01,479
Speaker 1: Chevy Chase Vacation movie, which I think is the ultimate

1615
01:34:01,600 --> 01:34:05,439
Speaker 1: wood paneled station wagon. You know what I'm talking about,

1616
01:34:05,479 --> 01:34:11,040
Speaker 1: the National Lampoons. Yeah, of course. So I had a

1617
01:34:11,720 --> 01:34:16,600
Speaker 1: what car does Chevy Chase though drive in in the

1618
01:34:16,720 --> 01:34:24,640
Speaker 1: Vacation movies? You know that ament a wagon? Queen Family truckster.

1619
01:34:25,960 --> 01:34:29,720
Speaker 1: That's what he was driving. It was created specifically for

1620
01:34:29,840 --> 01:34:33,479
Speaker 1: the film. It was based on a nineteen seventy nine

1621
01:34:33,680 --> 01:34:38,880
Speaker 1: Ford Ltd Country Squire station wagons. So that's the real one,

1622
01:34:38,920 --> 01:34:42,400
Speaker 1: the nineteen seventy nine Ford Ltd Country Squire station wagon.

1623
01:34:42,840 --> 01:34:47,960
Speaker 1: That's the ultimate wood paneled station wagon. You know that

1624
01:34:48,040 --> 01:34:51,200
Speaker 1: wood paneling on the side by the way, whoever thought

1625
01:34:51,240 --> 01:34:52,880
Speaker 1: that was a good idea? Why would you want a

1626
01:34:52,960 --> 01:34:55,799
Speaker 1: car made of wood? You know, it doesn't seem safe

1627
01:34:56,240 --> 01:34:59,320
Speaker 1: or anything logic right, that doesn't seem like I don't

1628
01:34:59,320 --> 01:35:01,160
Speaker 1: want it to turn in to what all those splinters

1629
01:35:01,200 --> 01:35:03,360
Speaker 1: become little missiles and go through my face in an accent.

1630
01:35:03,479 --> 01:35:05,719
Speaker 1: That's not good. I mean, imagine it's just for decoration.

1631
01:35:05,840 --> 01:35:07,880
Speaker 1: But yeah, it's not real wood, obviously that would be

1632
01:35:08,040 --> 01:35:10,880
Speaker 1: Actually I think originally there might have been some wood

1633
01:35:10,920 --> 01:35:13,120
Speaker 1: in there, but it later it was just like a

1634
01:35:13,240 --> 01:35:16,080
Speaker 1: veneer kind of a plastic substance that looked like what anyway,

1635
01:35:16,200 --> 01:35:17,920
Speaker 1: So that's what I drove. And I got towed during

1636
01:35:17,960 --> 01:35:20,080
Speaker 1: a snowstorm. I'll never forget that. I was like what,

1637
01:35:20,640 --> 01:35:22,040
Speaker 1: but it was because of the plows on. This is

1638
01:35:22,080 --> 01:35:23,800
Speaker 1: the only time I've ever been towed. I thank god

1639
01:35:23,840 --> 01:35:26,080
Speaker 1: I've avoided getting towed to New York City because that's

1640
01:35:26,080 --> 01:35:28,240
Speaker 1: a traumatic experience. Well, you don't have a car when

1641
01:35:28,280 --> 01:35:30,559
Speaker 1: you live in New York, Yeah, I did for years.

1642
01:35:30,600 --> 01:35:32,160
Speaker 1: I had that station where I got to New York City,

1643
01:35:32,160 --> 01:35:35,000
Speaker 1: I parked it on the streets. It was how It

1644
01:35:35,120 --> 01:35:37,080
Speaker 1: was a nightmare. It was a nightmare. I had to

1645
01:35:37,120 --> 01:35:39,800
Speaker 1: basically sleep in the car in the mornings and deal

1646
01:35:39,920 --> 01:35:42,920
Speaker 1: with the street cleaners as they came by. It was

1647
01:35:42,960 --> 01:35:45,880
Speaker 1: not fun. All right, let's get to our roll call

1648
01:35:45,960 --> 01:35:48,160
Speaker 1: here as producer Mark and I hunkered down in our

1649
01:35:48,200 --> 01:35:51,759
Speaker 1: respective dumiciles for what it's going to be the biggest

1650
01:35:51,760 --> 01:35:54,320
Speaker 1: snowstorm in New York City in ten years. They're saying,

1651
01:35:54,479 --> 01:35:58,680
Speaker 1: so yeah, Ryan, right, saying hey back, I'm listening to

1652
01:35:58,680 --> 01:36:01,759
Speaker 1: your show on Freedom nine three seven blasting the Freedom

1653
01:36:01,880 --> 01:36:04,439
Speaker 1: Hunt's message of truth. Thank you, Ryan, love when we

1654
01:36:04,520 --> 01:36:07,280
Speaker 1: hear from our Colorado team buck for whatever it's worth.

1655
01:36:07,360 --> 01:36:09,519
Speaker 1: I agree with your assessment on ag Barr being a

1656
01:36:09,640 --> 01:36:13,000
Speaker 1: good man that did everything reasonably possible. I also agree

1657
01:36:13,040 --> 01:36:16,160
Speaker 1: we must assess this position we find ourselves in post

1658
01:36:16,240 --> 01:36:18,880
Speaker 1: election with truth, keep on keeping it real with what

1659
01:36:18,960 --> 01:36:21,439
Speaker 1: we were up against. Brother Ryan. Thanks so much. Yeah,

1660
01:36:21,520 --> 01:36:27,080
Speaker 1: I'm I'm an AG Barr advocate and supporters. Still, I

1661
01:36:27,360 --> 01:36:30,479
Speaker 1: don't go with this stuff that he didn't do. I

1662
01:36:30,600 --> 01:36:33,960
Speaker 1: think he saved the Trump presidency. They were Weissman was

1663
01:36:34,200 --> 01:36:38,560
Speaker 1: going to try to call for prosecution of him and

1664
01:36:38,960 --> 01:36:42,080
Speaker 1: or impeachment of him, but Barr stepped in and head

1665
01:36:42,160 --> 01:36:45,280
Speaker 1: them off at the past with the political hit. Barr

1666
01:36:45,560 --> 01:36:50,920
Speaker 1: saved this administration from the Russia collusion trap. He saved them,

1667
01:36:51,680 --> 01:36:53,760
Speaker 1: and that's why they were so upset when he came

1668
01:36:53,800 --> 01:36:56,479
Speaker 1: out and gave that press conference and talked through what

1669
01:36:56,640 --> 01:36:59,799
Speaker 1: was in the report and talked about the executive summary.

1670
01:37:00,320 --> 01:37:03,560
Speaker 1: So let's not forget that. You shouldn't forget that. I

1671
01:37:03,560 --> 01:37:05,760
Speaker 1: don't think it would be fair to do so. And

1672
01:37:05,920 --> 01:37:08,560
Speaker 1: I think he's an ethical guy. I think he you know,

1673
01:37:08,640 --> 01:37:11,320
Speaker 1: he stepped in on the Roger Stone thing. People are

1674
01:37:11,400 --> 01:37:13,439
Speaker 1: forgetting right now. I know there's a lot of upset

1675
01:37:13,520 --> 01:37:15,559
Speaker 1: people out there because of what's going on with Trump,

1676
01:37:15,960 --> 01:37:20,320
Speaker 1: but Barr was an asset to this administration, and he

1677
01:37:20,520 --> 01:37:25,200
Speaker 1: was a highly competent and solid attorney general. This is

1678
01:37:25,200 --> 01:37:28,080
Speaker 1: not a Jeff Session situation, friends, it's not. And people

1679
01:37:28,080 --> 01:37:31,879
Speaker 1: who were telling you otherwise, that's that's just an unfair

1680
01:37:32,000 --> 01:37:36,840
Speaker 1: read in my opinion. All right, Next up here, David

1681
01:37:37,000 --> 01:37:40,920
Speaker 1: hey Buck. The Challenger Netflix documentary is amazing. The top

1682
01:37:41,040 --> 01:37:44,639
Speaker 1: engineers basically knew it was going to happen. Really sad. Oh,

1683
01:37:44,880 --> 01:37:47,920
Speaker 1: so this is about the Challenger disaster. I didn't I

1684
01:37:47,960 --> 01:37:49,560
Speaker 1: thought it was I didn't realize that that was the

1685
01:37:49,960 --> 01:37:51,679
Speaker 1: because I haven't ever been a whole lot of Challenger

1686
01:37:52,120 --> 01:37:53,519
Speaker 1: things that've been sent up in the air. Was the

1687
01:37:53,560 --> 01:37:55,760
Speaker 1: only other one. When you say the Challenger, what do

1688
01:37:55,840 --> 01:37:58,479
Speaker 1: you think of? Yeah, I know that was a dumb thing.

1689
01:37:58,520 --> 01:37:59,920
Speaker 1: I just said a lot, but I really did think.

1690
01:38:00,000 --> 01:38:01,680
Speaker 1: I was like, oh, yeah, the Challenger, like, you know,

1691
01:38:01,760 --> 01:38:03,680
Speaker 1: maybe one of the happy missions that it went on,

1692
01:38:03,920 --> 01:38:07,200
Speaker 1: not the woman watches a documentary on happy stuff. Yeah,

1693
01:38:07,240 --> 01:38:10,639
Speaker 1: I know, I know. Even the octopus made the octopus friend.

1694
01:38:10,680 --> 01:38:13,560
Speaker 1: I was like, but the octopus is gonna die. I

1695
01:38:13,640 --> 01:38:16,240
Speaker 1: got so sad. I got so sad. I eat octopus.

1696
01:38:16,439 --> 01:38:19,599
Speaker 1: I love it, taste delicious. I got so sad when

1697
01:38:19,600 --> 01:38:22,800
Speaker 1: the octopus was dying. Really did, really did like choked

1698
01:38:22,840 --> 01:38:25,639
Speaker 1: me up. Man. I can't but I can't watch any

1699
01:38:25,720 --> 01:38:28,439
Speaker 1: any human to any human to animal friendship, you know.

1700
01:38:28,600 --> 01:38:31,200
Speaker 1: Spec I mean with dogs, I'm a total mess, but

1701
01:38:31,320 --> 01:38:35,000
Speaker 1: any human to animal friendship, you know, you know, it

1702
01:38:35,160 --> 01:38:37,479
Speaker 1: really really really gets to me, which is kind of

1703
01:38:37,520 --> 01:38:39,599
Speaker 1: what do you think about. I'll watch a movie where

1704
01:38:39,640 --> 01:38:42,200
Speaker 1: there's like bad guys getting shot all over the place,

1705
01:38:42,320 --> 01:38:44,680
Speaker 1: like human beings getting blown away with all kinds of

1706
01:38:44,720 --> 01:38:46,800
Speaker 1: weaponry and everything, and I'm just like, you know, may man,

1707
01:38:46,960 --> 01:38:49,880
Speaker 1: you know, it's tough. Human beings are rough species. And

1708
01:38:49,960 --> 01:38:52,640
Speaker 1: then I watched like a dog gets cancer in a

1709
01:38:52,720 --> 01:38:54,640
Speaker 1: movie or something, and you know he has to be

1710
01:38:54,720 --> 01:38:57,960
Speaker 1: put down, and I'm, man, I'm I'm a mess. Can't

1711
01:38:58,000 --> 01:39:03,559
Speaker 1: handle it now. Yeah. Yeah, it's like Gordon Gecko says

1712
01:39:03,600 --> 01:39:06,240
Speaker 1: in the movie Wall Street, you know about wasps, they

1713
01:39:06,560 --> 01:39:09,800
Speaker 1: love animals they hate people, which is not really true,

1714
01:39:09,840 --> 01:39:11,439
Speaker 1: but it's kind of a smug way of putting it.

1715
01:39:12,000 --> 01:39:14,040
Speaker 1: We do, we do love animals. All. I'm a Catholic,

1716
01:39:14,080 --> 01:39:18,760
Speaker 1: I'm a Protestant, so technically not a wasp um anyway, David,

1717
01:39:18,800 --> 01:39:21,280
Speaker 1: I will check out the Challenger documentary. I'll probably watch it.

1718
01:39:21,320 --> 01:39:23,479
Speaker 1: With the snow Princess with the big snow that's coming

1719
01:39:23,720 --> 01:39:25,360
Speaker 1: and sometimes asked why I call her that, It's because

1720
01:39:25,400 --> 01:39:26,880
Speaker 1: she comes from one of the snowiest parts of the

1721
01:39:27,000 --> 01:39:30,880
Speaker 1: United States, and she's like, very she loves snow, Brucer Mark,

1722
01:39:30,920 --> 01:39:33,519
Speaker 1: How does missus Mark feel about snow? Because because snow

1723
01:39:33,600 --> 01:39:38,760
Speaker 1: Princess is obviously based on her name alone, she loves it. Yeah,

1724
01:39:38,840 --> 01:39:41,880
Speaker 1: it's an ing. She loves It's it's like her environment.

1725
01:39:41,880 --> 01:39:44,080
Speaker 1: What were we saying it's an inconvenience to her and

1726
01:39:44,160 --> 01:39:47,559
Speaker 1: most people. Yeah, so she's not like, yeah, look at

1727
01:39:47,560 --> 01:39:50,800
Speaker 1: all the snowflakes. It's amazing and beautiful. Oh no, I

1728
01:39:50,920 --> 01:39:53,000
Speaker 1: have to shovel this and clean it off my car.

1729
01:39:53,240 --> 01:39:56,360
Speaker 1: Take some more utilitarian view of the snow. Yeah, yeah,

1730
01:39:56,479 --> 01:39:58,200
Speaker 1: some people could you. You know, I always love those

1731
01:39:58,200 --> 01:39:59,720
Speaker 1: stories where you hear from people that have lived like

1732
01:39:59,760 --> 01:40:01,360
Speaker 1: their whole life in a place without snow and then

1733
01:40:01,360 --> 01:40:03,519
Speaker 1: they see it for the first time. That must be

1734
01:40:03,640 --> 01:40:05,920
Speaker 1: kind of a bugout, you know. Yeah, I would imagine

1735
01:40:05,920 --> 01:40:07,880
Speaker 1: that is amazing. If you've lived like in Florida your

1736
01:40:07,920 --> 01:40:09,400
Speaker 1: whole life and then you go to New York during

1737
01:40:09,439 --> 01:40:12,280
Speaker 1: the winter. Well, I was even thinking, like sub Saharan Africa, Right, Well,

1738
01:40:12,360 --> 01:40:14,880
Speaker 1: that show up You've you've lived your whole life in

1739
01:40:15,439 --> 01:40:17,479
Speaker 1: Kenya or something, and you show up and you're like, wait,

1740
01:40:17,560 --> 01:40:19,600
Speaker 1: what is all this? So I've met people that have

1741
01:40:20,240 --> 01:40:23,400
Speaker 1: talked about that experience. All right, Scott buck On this

1742
01:40:23,479 --> 01:40:25,559
Speaker 1: evening show you mentioned the people from a DJ are

1743
01:40:25,560 --> 01:40:28,160
Speaker 1: looking to claims of voter fraud. Has anyone in a

1744
01:40:28,240 --> 01:40:31,439
Speaker 1: lazy DJ sent out agents from the myriad of agencies

1745
01:40:31,520 --> 01:40:35,400
Speaker 1: at their disposal to interview many of the Democrat operatives

1746
01:40:35,479 --> 01:40:38,920
Speaker 1: poll workers named in the hundreds of affidavits concerning voter fraud.

1747
01:40:39,320 --> 01:40:41,320
Speaker 1: Let's be honest, any real pressure you put on these

1748
01:40:41,320 --> 01:40:43,640
Speaker 1: dirt bags will lead them to taking to talking in

1749
01:40:43,800 --> 01:40:47,760
Speaker 1: order to save their hides. Scott my understanding is they

1750
01:40:47,800 --> 01:40:50,519
Speaker 1: have actually looked into, they have followed up on some

1751
01:40:50,600 --> 01:40:54,559
Speaker 1: of these affidavits, and and this I think is where

1752
01:40:54,600 --> 01:40:57,720
Speaker 1: there's so much of the disconnect right now. It's not

1753
01:40:57,920 --> 01:41:01,200
Speaker 1: that the people are lying who say what they say

1754
01:41:01,240 --> 01:41:03,479
Speaker 1: in the affidavits. That's not the belief from some of

1755
01:41:03,560 --> 01:41:06,160
Speaker 1: the follow up from the DOJ, and I do have

1756
01:41:06,280 --> 01:41:09,000
Speaker 1: sources in the DOJ I've talked to about this. It's

1757
01:41:09,080 --> 01:41:13,920
Speaker 1: that what they saw there is no proof of, or

1758
01:41:14,000 --> 01:41:16,080
Speaker 1: what they believe they saw there's no proof of. So

1759
01:41:16,439 --> 01:41:19,200
Speaker 1: an example, and before people get frustrated with what I'm saying,

1760
01:41:19,760 --> 01:41:25,240
Speaker 1: if I saw someone with a box of ballots and

1761
01:41:25,439 --> 01:41:27,760
Speaker 1: I just happen to see that every one of those

1762
01:41:27,880 --> 01:41:31,160
Speaker 1: ballots went for Joe Biden, and then all of those

1763
01:41:31,280 --> 01:41:36,120
Speaker 1: ballots are in a giant pile of overall ballots. What

1764
01:41:36,320 --> 01:41:38,360
Speaker 1: I saw, that's my word, and I can say I

1765
01:41:38,439 --> 01:41:41,040
Speaker 1: saw that, But how do you prove and how do

1766
01:41:41,120 --> 01:41:43,240
Speaker 1: you prove to a judge now that they're in the

1767
01:41:43,360 --> 01:41:46,400
Speaker 1: general pile that there was a mysterious box of a

1768
01:41:46,520 --> 01:41:49,800
Speaker 1: thousand only Joe Biden ballots that got counted at one point.

1769
01:41:50,840 --> 01:41:55,560
Speaker 1: And I know it's very frustrating, but That's what a

1770
01:41:55,640 --> 01:41:58,800
Speaker 1: lot of these affidavits are attesting to things that I

1771
01:41:59,040 --> 01:42:02,360
Speaker 1: believe they saw all and that are true. But if

1772
01:42:02,479 --> 01:42:07,760
Speaker 1: we can't prove it because Democrats remove the safeguards, we're

1773
01:42:07,920 --> 01:42:12,800
Speaker 1: not going to get the judicial satisfaction and justice we want.

1774
01:42:13,320 --> 01:42:18,479
Speaker 1: That's my essential point here, and that's just it sucks,

1775
01:42:18,680 --> 01:42:21,240
Speaker 1: but that's where we are. That's what we're dealing with.

1776
01:42:22,080 --> 01:42:25,400
Speaker 1: So Scott, have they followed up on all these leads? No,

1777
01:42:25,640 --> 01:42:27,439
Speaker 1: but I believe they. I know they followed up on

1778
01:42:27,520 --> 01:42:30,160
Speaker 1: some of them, and they've said, Okay, well you saw that.

1779
01:42:31,479 --> 01:42:34,200
Speaker 1: What do we do now, Well, how do we prove

1780
01:42:34,320 --> 01:42:37,479
Speaker 1: that this is true? A person going in front of

1781
01:42:37,479 --> 01:42:39,439
Speaker 1: a judge and saying, hey, I saw I saw ten

1782
01:42:39,479 --> 01:42:41,800
Speaker 1: thousand ballots. I swear I saw ten thousand ballots that

1783
01:42:41,840 --> 01:42:44,559
Speaker 1: showed up at one am and all went for Joe Biden,

1784
01:42:45,439 --> 01:42:47,320
Speaker 1: then the judge is gonna say, okay, well, how do

1785
01:42:47,640 --> 01:42:51,320
Speaker 1: how do we prove that a person's word alone will

1786
01:42:51,360 --> 01:42:53,760
Speaker 1: not be enough for a judge to toss out votes?

1787
01:42:53,800 --> 01:42:55,760
Speaker 1: And I know you don't want to hear that, and

1788
01:42:55,960 --> 01:42:58,160
Speaker 1: I don't want to say that, but what I'm telling

1789
01:42:58,280 --> 01:43:04,240
Speaker 1: you is the truth about this situation. We've got to

1790
01:43:04,280 --> 01:43:06,680
Speaker 1: find a better way. We've got to find the smoking gun.

1791
01:43:06,760 --> 01:43:09,519
Speaker 1: We've got to have more than what we've had so far.

1792
01:43:12,240 --> 01:43:15,240
Speaker 1: You're in the freedom hunt. This is the Buck Sexton

1793
01:43:15,280 --> 01:43:22,360
Speaker 1: Show podcast. We're rolling on with Roll Call Don next

1794
01:43:22,479 --> 01:43:25,120
Speaker 1: up here, Hello, team Buck. Love your show, Buck, I've

1795
01:43:25,120 --> 01:43:27,760
Speaker 1: been a longtime fan back to your guest hosting on

1796
01:43:27,840 --> 01:43:29,880
Speaker 1: the Rush days. Well, thank you so much, Don. Yeah,

1797
01:43:29,880 --> 01:43:32,439
Speaker 1: I feeling if for Rush Limbaugh was an amazing experience

1798
01:43:32,479 --> 01:43:34,560
Speaker 1: those many times I got to do it. So my

1799
01:43:34,720 --> 01:43:37,040
Speaker 1: question is how do we overcome this fraud of an election?

1800
01:43:37,560 --> 01:43:40,360
Speaker 1: Seems like we need to organize to focus our collective

1801
01:43:40,360 --> 01:43:43,760
Speaker 1: efforts to ensure the fairness of future elections somehow and

1802
01:43:43,880 --> 01:43:46,280
Speaker 1: nice respect, they'll take conservatives at the local level and

1803
01:43:46,400 --> 01:43:49,080
Speaker 1: in our respective states. Your thoughts. Thanks to you and

1804
01:43:49,120 --> 01:43:51,600
Speaker 1: Prucer Mark for a great show. Prucer Marky sending you

1805
01:43:51,640 --> 01:43:55,120
Speaker 1: thanks on high five. Well, thank you for listening. There

1806
01:43:55,200 --> 01:43:59,519
Speaker 1: we go, as for how to conservative at the local

1807
01:43:59,600 --> 01:44:04,720
Speaker 1: level respective states, what do we do? Yes, we absolutely

1808
01:44:04,880 --> 01:44:09,600
Speaker 1: need to look at all of the all of the shortcomings,

1809
01:44:09,800 --> 01:44:12,519
Speaker 1: all of the open doors for fraud in this and

1810
01:44:12,680 --> 01:44:16,120
Speaker 1: close them. And that's why this process of bringing these

1811
01:44:16,200 --> 01:44:19,240
Speaker 1: lawsuits has been important, despite what the media is saying about, Oh,

1812
01:44:19,280 --> 01:44:21,760
Speaker 1: it's a threat to our democracy. No, we need to

1813
01:44:21,840 --> 01:44:24,880
Speaker 1: see where was this happening, How was this happening. We

1814
01:44:24,920 --> 01:44:27,479
Speaker 1: need to stop it going forward, and if we can

1815
01:44:27,840 --> 01:44:31,400
Speaker 1: prove it beyond a reasonable doubt right now, or even

1816
01:44:31,680 --> 01:44:33,640
Speaker 1: by a preponderance of the evidence, I think would be

1817
01:44:33,680 --> 01:44:35,640
Speaker 1: the civil standard in these cases. But it needs to

1818
01:44:35,680 --> 01:44:37,720
Speaker 1: be a preponderance of the evidence or a you know,

1819
01:44:38,000 --> 01:44:42,320
Speaker 1: more of the fifty one percent standard. If we can

1820
01:44:42,360 --> 01:44:46,360
Speaker 1: do that, then maybe we pull off a last minute.

1821
01:44:46,400 --> 01:44:48,360
Speaker 1: But you know, as I've been saying to you folks,

1822
01:44:48,439 --> 01:44:52,479
Speaker 1: it's it's ninety nine percent plus a done deal now

1823
01:44:52,520 --> 01:44:54,960
Speaker 1: with Joe Biden as the next president, that's where we are.

1824
01:44:55,960 --> 01:44:57,800
Speaker 1: I will not lie to you. There are other people

1825
01:44:57,880 --> 01:45:00,240
Speaker 1: out there who are you know, who are millionaires, big

1826
01:45:00,280 --> 01:45:02,960
Speaker 1: platforms that they're gonna pander. They're gonna tell you, oh, no,

1827
01:45:03,200 --> 01:45:05,840
Speaker 1: just stay in the fight any moment now I'm saying, no,

1828
01:45:06,000 --> 01:45:08,360
Speaker 1: we stay in the fight. But we have to face reality.

1829
01:45:08,920 --> 01:45:10,760
Speaker 1: And the reality is this is not going to go

1830
01:45:10,880 --> 01:45:13,160
Speaker 1: the way we want it to unless a miracle happens.

1831
01:45:13,439 --> 01:45:16,680
Speaker 1: That's the truth. You know. I wish people that take.

1832
01:45:16,680 --> 01:45:18,960
Speaker 1: You know, I take a risk. I'm still building a career.

1833
01:45:19,120 --> 01:45:21,360
Speaker 1: I still got bills to pay, you know, I still

1834
01:45:21,400 --> 01:45:23,599
Speaker 1: am trying to, you know, create and build a family.

1835
01:45:23,960 --> 01:45:26,160
Speaker 1: The same thing with Prucer Mark. But I gotta tell

1836
01:45:26,200 --> 01:45:28,920
Speaker 1: you the truth. There are other people. They doesn't matter.

1837
01:45:29,000 --> 01:45:31,439
Speaker 1: I mean, the audience could leave them, right, they could flee.

1838
01:45:31,479 --> 01:45:32,800
Speaker 1: It doesn't They never have to work a day in

1839
01:45:32,800 --> 01:45:35,479
Speaker 1: their lives. They but they want the attention, they want

1840
01:45:35,520 --> 01:45:37,680
Speaker 1: the ratings, they want the power. That's what matters. So

1841
01:45:37,760 --> 01:45:40,479
Speaker 1: they'll lie to you. They'll lie to you. I won't

1842
01:45:40,520 --> 01:45:45,120
Speaker 1: do it, John writes deer Buck. Don't misunderstand that what follows.

1843
01:45:45,120 --> 01:45:47,479
Speaker 1: I'm a true conservative. I seldom disagree with you, and

1844
01:45:47,520 --> 01:45:49,760
Speaker 1: I very much enjoy your show. You've got grit. The

1845
01:45:49,840 --> 01:45:52,120
Speaker 1: other night, however, you said, in response to a listener's

1846
01:45:52,160 --> 01:45:54,760
Speaker 1: comment that there will be no secession. You don't know

1847
01:45:54,920 --> 01:45:58,320
Speaker 1: that for sure, no one does. But this I do know. Nations,

1848
01:45:58,400 --> 01:46:01,400
Speaker 1: like the nations, like people, are mortal. Nothing in this

1849
01:46:01,520 --> 01:46:04,160
Speaker 1: world lasts forever. America is no exception. As much as

1850
01:46:04,200 --> 01:46:07,000
Speaker 1: you appreciate history, I need not remind you that history

1851
01:46:07,120 --> 01:46:10,760
Speaker 1: is replete with vanished civilizations, empires, and nations. This might

1852
01:46:10,840 --> 01:46:13,280
Speaker 1: seem like stating the obvious, but judging for what I've seen,

1853
01:46:13,400 --> 01:46:16,439
Speaker 1: few Americans stop to think of it. America will end someday.

1854
01:46:16,680 --> 01:46:18,800
Speaker 1: Of course, we do not know when or how, so

1855
01:46:19,000 --> 01:46:22,599
Speaker 1: secession conceivably might be a factor. Remember too, President Reagan's

1856
01:46:22,640 --> 01:46:25,639
Speaker 1: observation that freedom is always one generation away from being

1857
01:46:25,720 --> 01:46:27,680
Speaker 1: lost again. I hope you don't misunderstand the spirit of

1858
01:46:27,760 --> 01:46:29,600
Speaker 1: which I say this. I'm not trying to be contentious.

1859
01:46:29,840 --> 01:46:31,920
Speaker 1: I'm merely being realistic and taking the long view. Keep

1860
01:46:31,960 --> 01:46:34,200
Speaker 1: up the good work. Best wishes to you and Mark John.

1861
01:46:34,200 --> 01:46:36,360
Speaker 1: I appreciate it, and you're right. I always say this,

1862
01:46:36,479 --> 01:46:38,720
Speaker 1: no one can predict the future. I can't predict the future. No.

1863
01:46:38,920 --> 01:46:40,880
Speaker 1: That's why I say it's ninety nine percent. I don't

1864
01:46:40,920 --> 01:46:42,599
Speaker 1: say it's one hundred percent that Joe Biden's the president.

1865
01:46:42,600 --> 01:46:44,320
Speaker 1: I say it's ninety nine percent. No one can predict

1866
01:46:44,320 --> 01:46:48,200
Speaker 1: the future, but we have to prepare based on what

1867
01:46:48,320 --> 01:46:50,519
Speaker 1: the odds are, what the probabilities are. And I think

1868
01:46:50,520 --> 01:46:52,400
Speaker 1: when I said there won't be secession, what I really

1869
01:46:52,479 --> 01:46:55,720
Speaker 1: want to say is we should not push for secession.

1870
01:46:56,240 --> 01:46:59,080
Speaker 1: We're not at that point. That's not where we want

1871
01:46:59,120 --> 01:47:02,320
Speaker 1: this country to go. But you're right, the future is

1872
01:47:02,360 --> 01:47:05,320
Speaker 1: not said and we don't know. We continue in the fight,

1873
01:47:05,439 --> 01:47:07,920
Speaker 1: my friends. That's why we have the motto of the show.

1874
01:47:08,439 --> 01:47:10,680
Speaker 1: That's why I'm here with you, talking to you every day,

1875
01:47:11,000 --> 01:47:13,519
Speaker 1: because no matter what, we keep our shields high.