1
00:00:03,440 --> 00:00:16,880
Speaker 1: You are entering the freedom hunt, California back into lockdown.

2
00:00:17,000 --> 00:00:22,720
Speaker 1: The teachers unions holding students hostage this fall, Cuomo's extreme

3
00:00:22,840 --> 00:00:28,680
Speaker 1: quarantine rules, and what is anti racism? Buck Sexton missions,

4
00:00:28,880 --> 00:00:35,599
Speaker 1: coding the news and disseminating information with actionable intelligence, make

5
00:00:35,640 --> 00:00:39,800
Speaker 1: no mistake. Great, You're a great American again. This is

6
00:00:39,880 --> 00:00:45,280
Speaker 1: the buck Sexton Show promo. CIA analysts again can speak

7
00:00:45,280 --> 00:00:49,120
Speaker 1: to three hours without a phone call. Try doing that sometimes. No,

8
00:00:51,280 --> 00:00:54,360
Speaker 1: welcome everybody to the buck Sexton Show. Great to have

9
00:00:54,520 --> 00:00:57,360
Speaker 1: you here with me as always and honor a privilege

10
00:00:57,400 --> 00:00:59,360
Speaker 1: and a pleasure. They get to talk to you about

11
00:00:59,400 --> 00:01:03,440
Speaker 1: everything happening across the country. My mind, we have a

12
00:01:03,560 --> 00:01:09,119
Speaker 1: very clear declaration of intent, I think from the teachers unions,

13
00:01:09,120 --> 00:01:13,000
Speaker 1: which we should always think of as the as the

14
00:01:13,000 --> 00:01:15,880
Speaker 1: the shock troops, if you will, of the Democrat Party.

15
00:01:16,760 --> 00:01:18,560
Speaker 1: They are right out there and have been for a

16
00:01:18,600 --> 00:01:22,200
Speaker 1: long time. They don't burn down buildings, they just hold

17
00:01:22,280 --> 00:01:26,840
Speaker 1: the kids hostage. Going into this fall saying that they

18
00:01:27,920 --> 00:01:33,560
Speaker 1: are they're making demands of what they want, and this

19
00:01:33,680 --> 00:01:36,480
Speaker 1: at a time when the whole country is trying to

20
00:01:36,520 --> 00:01:39,360
Speaker 1: figure out what exactly is going to happen here. If

21
00:01:39,400 --> 00:01:43,640
Speaker 1: we're now going to have these restrictions in place that

22
00:01:43,720 --> 00:01:46,959
Speaker 1: are even preventative restrictions. In some states that don't have

23
00:01:47,080 --> 00:01:51,000
Speaker 1: very high COVID cases, we have extreme restrictions, and other places.

24
00:01:51,280 --> 00:01:53,320
Speaker 1: Who knows when those can end, because then you might

25
00:01:53,360 --> 00:01:57,960
Speaker 1: have a surgeon cases. There is just a panic out

26
00:01:58,000 --> 00:02:01,200
Speaker 1: there right now, and schools are now on the front

27
00:02:01,280 --> 00:02:06,960
Speaker 1: lines of the make sure Biden gets elected campaign. That's

28
00:02:07,000 --> 00:02:09,040
Speaker 1: what's happening with the teachers units. I'll get into more

29
00:02:09,080 --> 00:02:12,160
Speaker 1: of that, and what are their demands? What are the

30
00:02:12,200 --> 00:02:15,079
Speaker 1: demands that they're putting out there In case you're wondering

31
00:02:15,080 --> 00:02:17,920
Speaker 1: if they really are acting like a teachers unions are

32
00:02:17,919 --> 00:02:20,480
Speaker 1: acting like a Marxist terrorist group that has taken our

33
00:02:20,560 --> 00:02:27,240
Speaker 1: schools hostage. And my friends, we are entering this phase

34
00:02:27,360 --> 00:02:32,200
Speaker 1: now where everything about COVID, the economy, law enforcement, it's

35
00:02:32,200 --> 00:02:35,480
Speaker 1: just all a big political fight. You will not have

36
00:02:36,160 --> 00:02:41,280
Speaker 1: any good faith effort from Democrats to come into the

37
00:02:41,320 --> 00:02:44,400
Speaker 1: center on these issues or to work with Republicans to

38
00:02:44,480 --> 00:02:47,560
Speaker 1: make anything better. And of course I don't think Republicans

39
00:02:47,600 --> 00:02:49,760
Speaker 1: will go over to their side. They already have a

40
00:02:49,760 --> 00:02:51,800
Speaker 1: little bit with some of this police reform stuff. But

41
00:02:51,880 --> 00:02:53,920
Speaker 1: I also think they shouldn't go over to their side.

42
00:02:53,960 --> 00:02:57,480
Speaker 1: I think the Democrats obviously are wrong on all this stuff,

43
00:02:59,720 --> 00:03:02,760
Speaker 1: but they will they will double down, they will dig in.

44
00:03:02,840 --> 00:03:05,800
Speaker 1: They're not going to move on any of this in

45
00:03:05,840 --> 00:03:09,960
Speaker 1: the least. And then that brings me to what we're

46
00:03:10,000 --> 00:03:17,840
Speaker 1: seeing at or in California. Now. Remember, remember the narrative

47
00:03:17,960 --> 00:03:23,320
Speaker 1: for the last week or so has been that California

48
00:03:23,440 --> 00:03:25,880
Speaker 1: that the states that are having a really rough time

49
00:03:25,919 --> 00:03:29,400
Speaker 1: really the last two weeks, Texas and Florida, Texas and Florida.

50
00:03:29,639 --> 00:03:33,480
Speaker 1: Yesterday I had that guy from MSNBC searchas in Florida

51
00:03:33,560 --> 00:03:37,480
Speaker 1: the dumbest leaders and they're so stupid and they're and

52
00:03:37,560 --> 00:03:41,720
Speaker 1: then we have sure enough California now going back into

53
00:03:41,960 --> 00:03:46,040
Speaker 1: a lockdown, stay at home orders. Now California is saying,

54
00:03:46,040 --> 00:03:51,720
Speaker 1: you know you got you gotta respect our authority to

55
00:03:51,840 --> 00:03:55,880
Speaker 1: tell you exactly what to do. After weeks of protests,

56
00:03:56,800 --> 00:04:00,600
Speaker 1: after weeks of protests that not only were a loud

57
00:04:01,000 --> 00:04:05,440
Speaker 1: but that Governor k Newsom was encouraging. They were all

58
00:04:05,440 --> 00:04:08,040
Speaker 1: pretending that this was fine. They want to lecture us

59
00:04:08,080 --> 00:04:10,840
Speaker 1: all about public health. They want to allow the Democrat,

60
00:04:11,280 --> 00:04:15,040
Speaker 1: the Democrat base of lunatics to mobilize in the streets

61
00:04:15,360 --> 00:04:22,680
Speaker 1: were also oppressed and police violected all that stuff. And

62
00:04:22,760 --> 00:04:28,080
Speaker 1: now after the virus has reached large levels, high levels

63
00:04:28,120 --> 00:04:33,480
Speaker 1: of cases in these states, they're telling us that they

64
00:04:33,480 --> 00:04:35,680
Speaker 1: want to bring back all of the all the old

65
00:04:35,800 --> 00:04:40,719
Speaker 1: stuff of shutdown, lockdown, same thing, that's what they're trying

66
00:04:40,720 --> 00:04:45,680
Speaker 1: to do. This is astonishing. Here's Governor k Newsom saying himself,

67
00:04:45,680 --> 00:04:50,080
Speaker 1: Blake clip seven, we are now effectively, rather effective today,

68
00:04:50,279 --> 00:04:55,359
Speaker 1: requiring all counties to close their indoor activities, their indoor

69
00:04:55,400 --> 00:05:01,880
Speaker 1: operations in the following sectors restaurants, wineries, tasting rooms, movie theaters,

70
00:05:01,920 --> 00:05:07,560
Speaker 1: family entertainment centers, zoos and museums, card rooms, and the

71
00:05:07,600 --> 00:05:11,279
Speaker 1: shuttering of all bars. This is in every county in

72
00:05:11,320 --> 00:05:15,000
Speaker 1: the state of California, not just the counties that were

73
00:05:15,000 --> 00:05:18,720
Speaker 1: on the monitoring list that we announced on July first.

74
00:05:19,360 --> 00:05:24,120
Speaker 1: So this is a new statewide action effective today. Every

75
00:05:24,200 --> 00:05:28,920
Speaker 1: county in the state of California impacted by a requirement

76
00:05:29,000 --> 00:05:34,440
Speaker 1: now to modify indoor operations and to expand opportunities for

77
00:05:34,720 --> 00:05:41,200
Speaker 1: outdoor operations in these specific categories. Now, to be fair

78
00:05:41,240 --> 00:05:45,320
Speaker 1: and to be clear, they're getting they're they're moving back,

79
00:05:45,360 --> 00:05:47,720
Speaker 1: They're not going all the way back to square one.

80
00:05:47,760 --> 00:05:49,960
Speaker 1: You can still have some outdoor things that are allowed.

81
00:05:50,760 --> 00:05:55,880
Speaker 1: But just wait, just wait, see where this goes, see

82
00:05:55,920 --> 00:06:00,119
Speaker 1: what ends up happening, especially if cases continue to be

83
00:06:00,200 --> 00:06:03,599
Speaker 1: very high for a few more weeks. There's a problem

84
00:06:03,640 --> 00:06:07,479
Speaker 1: with what we've been told last last few weeks about

85
00:06:07,480 --> 00:06:10,520
Speaker 1: what's happening in the country with COVID nineteen. Texas and

86
00:06:10,560 --> 00:06:12,680
Speaker 1: Florida have been the focus of all the criticism from

87
00:06:12,680 --> 00:06:15,000
Speaker 1: the media. Why because they both have Republican governors and

88
00:06:15,000 --> 00:06:19,799
Speaker 1: they're considered to be full of enough red state people,

89
00:06:19,839 --> 00:06:22,280
Speaker 1: even though Florida is not a red state. Although we

90
00:06:22,320 --> 00:06:24,720
Speaker 1: should probably all move there, my friends and flip it

91
00:06:24,800 --> 00:06:29,360
Speaker 1: like now, make sure, hint, hint, let's all go. Let's

92
00:06:29,360 --> 00:06:31,640
Speaker 1: all you know, I got an idea. You guys want

93
00:06:31,680 --> 00:06:35,080
Speaker 1: Trump to win. Those either are thinking about Florida, Producer

94
00:06:35,080 --> 00:06:37,600
Speaker 1: Mark included, maybe it's time for us to head on

95
00:06:37,680 --> 00:06:42,000
Speaker 1: down there, register and make it happen. So they've been

96
00:06:42,000 --> 00:06:45,080
Speaker 1: focused on Texas and Florida because Texas and Florida are

97
00:06:45,960 --> 00:06:49,560
Speaker 1: able to be put on the Republican side of the equation.

98
00:06:49,720 --> 00:06:51,640
Speaker 1: And I know that it's very imperfect. And now they're

99
00:06:51,640 --> 00:06:54,000
Speaker 1: even saying I've seen these polling that says the Democrats

100
00:06:54,400 --> 00:06:58,200
Speaker 1: are thinking that Texas might even be a battleground state

101
00:06:58,240 --> 00:07:00,880
Speaker 1: for them, And Biden's up five points. And I don't

102
00:07:00,880 --> 00:07:02,920
Speaker 1: think that the Democrats are gonna win Texas, but remember

103
00:07:02,960 --> 00:07:06,480
Speaker 1: if the Democrats win Texas, were it's all over. So

104
00:07:06,880 --> 00:07:12,520
Speaker 1: keep that in mind. California, though, is a state that

105
00:07:12,680 --> 00:07:18,280
Speaker 1: has been sanctimonious in its We respect the science, we

106
00:07:18,280 --> 00:07:22,800
Speaker 1: wear masks. We've been very slow to reopen. California was

107
00:07:22,840 --> 00:07:26,720
Speaker 1: the place where they were shutting down beaches and they

108
00:07:26,760 --> 00:07:31,640
Speaker 1: were chasing individual paddle borders out on the ocean with

109
00:07:31,880 --> 00:07:35,640
Speaker 1: nobody within a hundreds of yards because of COVID nineteen.

110
00:07:36,200 --> 00:07:41,480
Speaker 1: That's the state of California run entirely by Democrats, dominated

111
00:07:41,520 --> 00:07:46,640
Speaker 1: by Democrat voters. This is the liberal left wing stronghold

112
00:07:46,680 --> 00:07:55,200
Speaker 1: of America, really only rivaled by New York. And California

113
00:07:55,400 --> 00:08:01,040
Speaker 1: has had an enormous spike in cases and now they're

114
00:08:01,040 --> 00:08:05,840
Speaker 1: shutting down. So if what we've been told recently was true,

115
00:08:06,080 --> 00:08:09,720
Speaker 1: that it was because Republicans don't believe the science, right,

116
00:08:09,720 --> 00:08:12,280
Speaker 1: That is what we're always saying. Republicans don't wear enough masks.

117
00:08:12,600 --> 00:08:15,800
Speaker 1: You've got a lot of mask wearing in California. You

118
00:08:15,920 --> 00:08:18,239
Speaker 1: got all kinds of you know, they'll listen to everyone

119
00:08:18,280 --> 00:08:21,600
Speaker 1: listens to Democrats there. They believe the science, all that stuff.

120
00:08:23,600 --> 00:08:27,200
Speaker 1: Why is California in this condition right now? Then? Now

121
00:08:27,880 --> 00:08:29,920
Speaker 1: there is an answer to this that isn't really about

122
00:08:29,920 --> 00:08:32,560
Speaker 1: the science entirely, which is they're always going to err

123
00:08:32,559 --> 00:08:37,599
Speaker 1: on the side of more strict lockdown, more restrictions on

124
00:08:37,679 --> 00:08:41,760
Speaker 1: economic activity. Because the Democrats, remember, not only are they

125
00:08:41,840 --> 00:08:44,360
Speaker 1: going to have do they have the incentive of beating

126
00:08:44,360 --> 00:08:47,439
Speaker 1: Trump in the fall, they're also going to just keep

127
00:08:47,480 --> 00:08:51,960
Speaker 1: pumping money, pumping money through the system to people, and

128
00:08:52,000 --> 00:08:54,640
Speaker 1: they're going to keep their social services going. They're going

129
00:08:54,720 --> 00:08:57,000
Speaker 1: to do all these things while small businesses are going

130
00:08:57,000 --> 00:08:59,240
Speaker 1: out of business, of course. And then they're going to

131
00:08:59,320 --> 00:09:01,440
Speaker 1: make demands from the federal government, and they're gonna start

132
00:09:01,520 --> 00:09:03,880
Speaker 1: raising taxes on people that still have jobs and are

133
00:09:03,960 --> 00:09:07,080
Speaker 1: being productive. Now not to say that people without jobs

134
00:09:08,000 --> 00:09:10,840
Speaker 1: in millions of cases, it's no one's fault. I'm just

135
00:09:10,880 --> 00:09:13,360
Speaker 1: saying they're gonna go after whoever still has a job

136
00:09:13,679 --> 00:09:17,680
Speaker 1: or whoever owns a home, raising their property taxes and

137
00:09:17,880 --> 00:09:20,920
Speaker 1: start redistributing wealth that way. That's their plent, so they're

138
00:09:20,920 --> 00:09:23,480
Speaker 1: not worried about it. If everyone has to stay home,

139
00:09:24,040 --> 00:09:27,640
Speaker 1: order in you groceries, and watch Netflix until election day.

140
00:09:27,960 --> 00:09:31,200
Speaker 1: State of California, it's pretty much fine with that. That's

141
00:09:31,240 --> 00:09:33,880
Speaker 1: what it seems like. And if it means that Donald

142
00:09:33,880 --> 00:09:36,080
Speaker 1: Trump is guaranteed to lose the election, which I'm just

143
00:09:36,080 --> 00:09:39,359
Speaker 1: gonna say this, if you have major states on lockdown

144
00:09:39,640 --> 00:09:41,760
Speaker 1: and an economy that has not been able to recover,

145
00:09:43,240 --> 00:09:45,520
Speaker 1: it's gonna be It's gonna be a miracle. If Donald

146
00:09:45,520 --> 00:09:48,160
Speaker 1: Trump wins, it's gonna be a miracle. Now, some of

147
00:09:48,200 --> 00:09:49,719
Speaker 1: you are probably already saying, yeah, buck, but it was

148
00:09:49,720 --> 00:09:54,200
Speaker 1: a miracle in twenty sixteen, wasn't it true? True? But

149
00:09:54,280 --> 00:09:56,520
Speaker 1: are we really going to expect two miracles in a row?

150
00:09:57,920 --> 00:10:03,360
Speaker 1: You expect lightning to strike twice. I'm concerned. I think

151
00:10:03,360 --> 00:10:06,600
Speaker 1: we all should be very, very concerned. But I just

152
00:10:06,640 --> 00:10:10,240
Speaker 1: want to point to California as a place where I'm

153
00:10:10,280 --> 00:10:13,040
Speaker 1: sure the mask shaming was at a maximum and has

154
00:10:13,080 --> 00:10:18,240
Speaker 1: been for a long time, and you have an entirely

155
00:10:18,280 --> 00:10:22,800
Speaker 1: Democrat controlled state legislature, a Democrat governor. They hate Trump,

156
00:10:22,800 --> 00:10:29,280
Speaker 1: They're all you know. Doctor Fauci is the voice of sanity. Reason, decency,

157
00:10:29,320 --> 00:10:32,160
Speaker 1: and all the rest of it. And yet they're having

158
00:10:32,200 --> 00:10:35,120
Speaker 1: to shut down now. I don't think they would shut

159
00:10:35,120 --> 00:10:37,160
Speaker 1: down if they didn't have a high level of cases

160
00:10:37,200 --> 00:10:39,880
Speaker 1: they have had. I have friends in California who I

161
00:10:39,960 --> 00:10:43,160
Speaker 1: know have gotten COVID in the last thirty days. So

162
00:10:43,280 --> 00:10:45,319
Speaker 1: I mean, I'm talking to people who are saying, yeah,

163
00:10:45,320 --> 00:10:47,120
Speaker 1: they've had it. Most of them, I'll just have, you know,

164
00:10:47,840 --> 00:10:51,360
Speaker 1: minimal symptoms. Some it's like the flu, and they're in

165
00:10:51,440 --> 00:10:53,600
Speaker 1: rough shape. But I don't know anybody in California who's

166
00:10:53,640 --> 00:10:57,400
Speaker 1: gotten a really, really bad version of the disease. But

167
00:10:57,559 --> 00:10:59,240
Speaker 1: this is now going to be the fight, which we

168
00:10:59,320 --> 00:11:02,480
Speaker 1: now an election to. What you're going to see is

169
00:11:02,960 --> 00:11:08,000
Speaker 1: the absolute politicization of every decision made in the name

170
00:11:08,040 --> 00:11:13,640
Speaker 1: of public health to really be about defeating Trump. That

171
00:11:13,880 --> 00:11:16,120
Speaker 1: between now and then, we've known this is coming for

172
00:11:16,160 --> 00:11:19,280
Speaker 1: a while, but we've really we've reached the tipping point

173
00:11:19,520 --> 00:11:23,400
Speaker 1: where middle of July, you know, the next ninety days

174
00:11:23,760 --> 00:11:26,440
Speaker 1: you're just gonna see Nope, shut it down, keep it

175
00:11:26,480 --> 00:11:31,760
Speaker 1: shut down. Everyone be panicked. Don't worry. The cavalry is

176
00:11:31,800 --> 00:11:34,920
Speaker 1: coming America. They will tell you, in the form of

177
00:11:35,000 --> 00:11:38,960
Speaker 1: Joe Biden. Let's just hope he knows which way to

178
00:11:39,160 --> 00:11:44,640
Speaker 1: ride the horse? Am a show up? Ramo? Where which

179
00:11:44,679 --> 00:11:50,880
Speaker 1: where am I? Yeah, Joe Biden's gonna fix all of this.

180
00:11:51,120 --> 00:11:53,640
Speaker 1: Joe Biden is the answer to our prayers. It's a

181
00:11:53,760 --> 00:11:57,400
Speaker 1: terrifying thought, but that's what we're gonna be told. And

182
00:11:57,480 --> 00:12:02,480
Speaker 1: the the viciousness. You know, for years, Democrats were so

183
00:12:02,679 --> 00:12:07,520
Speaker 1: nasty about Trump, I mean really really insidious in not

184
00:12:07,600 --> 00:12:09,439
Speaker 1: just the way they talked about the president, but also

185
00:12:09,559 --> 00:12:13,000
Speaker 1: their view of his supporters. When things were great, not

186
00:12:13,040 --> 00:12:16,400
Speaker 1: fighting any big wars, booming economy, and they still convinced

187
00:12:16,440 --> 00:12:20,480
Speaker 1: themselves fascism is coming to America. Trump has been given

188
00:12:20,600 --> 00:12:25,000
Speaker 1: with this whole COVID pandemic, an enormous open door if

189
00:12:25,000 --> 00:12:27,360
Speaker 1: he really was a fascist or somebody who wanted to

190
00:12:27,400 --> 00:12:29,960
Speaker 1: be an authoritarian, an enormous or open door. You know.

191
00:12:30,040 --> 00:12:32,199
Speaker 1: The only people who were walking through that door and

192
00:12:32,240 --> 00:12:38,280
Speaker 1: being little petty tyrants are Democrats, no surprise, but they

193
00:12:38,320 --> 00:12:40,840
Speaker 1: were saying that Trump was a fascist and a tyrant

194
00:12:40,880 --> 00:12:44,360
Speaker 1: and all these horrible things when the country was doing

195
00:12:44,440 --> 00:12:48,960
Speaker 1: so well and everything was pretty much on track. It

196
00:12:49,080 --> 00:12:51,800
Speaker 1: wasn't perfect. Yeah, we got problems, of course, right, I'm

197
00:12:51,840 --> 00:12:53,920
Speaker 1: not crazy. All. I remember all that stuff about the

198
00:12:53,960 --> 00:12:56,439
Speaker 1: border and the border surge and how do we get control.

199
00:12:57,120 --> 00:12:59,200
Speaker 1: Democrats were lying about that. Of course, Oh, they're just

200
00:12:59,240 --> 00:13:01,960
Speaker 1: going for a thing because they need asylum. No, they

201
00:13:02,000 --> 00:13:03,800
Speaker 1: just wanted to cheat the system and coming to the country.

202
00:13:04,000 --> 00:13:06,600
Speaker 1: But those were the challenges we were dealing with before. Now,

203
00:13:06,640 --> 00:13:08,440
Speaker 1: I mean, you're looking at a death toll that's going

204
00:13:08,520 --> 00:13:11,439
Speaker 1: to be between one hundred and fifty and two hundred

205
00:13:11,480 --> 00:13:15,760
Speaker 1: thousand come election day, and the Democrat left instead of

206
00:13:15,800 --> 00:13:17,920
Speaker 1: looking at what's going on around the whole world and

207
00:13:18,000 --> 00:13:19,680
Speaker 1: the fact that there have been a lot of deaths

208
00:13:19,720 --> 00:13:23,240
Speaker 1: from this disease, and this is it's a very it's

209
00:13:23,240 --> 00:13:26,600
Speaker 1: a tragic and terrible circumstance that there is this pandemic

210
00:13:26,640 --> 00:13:29,439
Speaker 1: that is a global phenomenon. Instead of saying this was

211
00:13:29,480 --> 00:13:32,719
Speaker 1: a challenge that hit us akin to similar to a

212
00:13:33,480 --> 00:13:36,480
Speaker 1: natural disaster like a massive earthquake or a tsunami or

213
00:13:36,520 --> 00:13:40,160
Speaker 1: something like that, they're they're going to put the blame

214
00:13:40,440 --> 00:13:46,160
Speaker 1: squarely on Trump's shoulders and Trump's supporters. They're going to

215
00:13:46,200 --> 00:13:51,839
Speaker 1: say they're already convinced of this, that the reason people

216
00:13:51,880 --> 00:13:53,959
Speaker 1: have died from COVID nineteen is not that it is

217
00:13:54,000 --> 00:14:00,960
Speaker 1: a highly infectious and very dangerous virus or dangerous to

218
00:14:01,320 --> 00:14:04,640
Speaker 1: people of a certain age with certain comorbidities. That's the

219
00:14:04,760 --> 00:14:08,800
Speaker 1: real danger zone. But instead of viewing it that way,

220
00:14:08,840 --> 00:14:11,640
Speaker 1: they're going to view it as every single death, every

221
00:14:12,640 --> 00:14:17,000
Speaker 1: lost life from this disease can be attributed to Trump

222
00:14:17,320 --> 00:14:21,000
Speaker 1: and the supporters that put him in office. That's the plan.

223
00:14:22,120 --> 00:14:26,080
Speaker 1: Of course, that's unfair, it's immoral, it's crazy, But they

224
00:14:26,080 --> 00:14:29,520
Speaker 1: don't care. This is what they're going to do. I'm

225
00:14:29,560 --> 00:14:33,240
Speaker 1: telling you, I've predicted the Democrats moves for months, and

226
00:14:33,360 --> 00:14:36,280
Speaker 1: you know that. I've been telling you. We're gaming out

227
00:14:36,400 --> 00:14:38,360
Speaker 1: what their next plan is. I told you would get

228
00:14:38,360 --> 00:14:40,760
Speaker 1: to lockdown two point zero. I've told you that they

229
00:14:40,760 --> 00:14:44,120
Speaker 1: were going to say that there was no danger from

230
00:14:44,400 --> 00:14:47,440
Speaker 1: the protests, and then when enough time passed there like, yeah,

231
00:14:47,480 --> 00:14:49,280
Speaker 1: maybe there was a little bit of transmission from but

232
00:14:49,320 --> 00:14:51,920
Speaker 1: now we're way past that. Now the transmissions community spread.

233
00:14:51,960 --> 00:14:55,200
Speaker 1: So who cares that the protests did In fact, the

234
00:14:55,600 --> 00:14:58,560
Speaker 1: I mean the mayor of Los Angeles has said that

235
00:14:58,600 --> 00:15:04,360
Speaker 1: the protesters probably did, yeah, spread this. So let's all

236
00:15:04,360 --> 00:15:08,400
Speaker 1: be very clear right now about what is coming our

237
00:15:08,440 --> 00:15:14,600
Speaker 1: way and what we are facing you're in the freedom line.

238
00:15:15,080 --> 00:15:22,480
Speaker 1: This is the Buck Sex and Show podcast. President Trump's

239
00:15:22,520 --> 00:15:28,080
Speaker 1: total hostility towards science, evidence, facts, logic, reason. He is

240
00:15:28,320 --> 00:15:32,480
Speaker 1: a showman. He is a reality TV star. He likes

241
00:15:32,520 --> 00:15:36,360
Speaker 1: to try to bend reality to suit his own preferences.

242
00:15:36,920 --> 00:15:40,480
Speaker 1: He had really made it clear that he was more

243
00:15:40,600 --> 00:15:45,960
Speaker 1: interested in the optics than the facts when the virus

244
00:15:46,000 --> 00:15:47,680
Speaker 1: first hit, and he kept saying, you know, we have

245
00:15:47,760 --> 00:15:51,320
Speaker 1: fifteen cases. It'll be over soon. So you've got to

246
00:15:51,360 --> 00:15:55,360
Speaker 1: begin and end with His total lack of leadership is

247
00:15:55,480 --> 00:15:59,120
Speaker 1: indifference toward what this virus has cost us, not only

248
00:15:59,160 --> 00:16:03,040
Speaker 1: in lives, in jobs and livelihoods. And now of course

249
00:16:03,400 --> 00:16:06,720
Speaker 1: he doesn't want to hear from our leading infectious disease

250
00:16:06,840 --> 00:16:10,640
Speaker 1: experts like doctor Fauci. He doesn't want to hold the

251
00:16:10,960 --> 00:16:13,640
Speaker 1: even the sham of the meetings that he used to

252
00:16:13,640 --> 00:16:16,320
Speaker 1: hold to try to talk about it. He's he's helping

253
00:16:16,440 --> 00:16:20,720
Speaker 1: that it either goes away or it leaves our attentions fans,

254
00:16:20,760 --> 00:16:25,280
Speaker 1: so that he can get back to be president. Good God,

255
00:16:25,920 --> 00:16:29,760
Speaker 1: too much. Hillary, Sorry about that team, But here she

256
00:16:29,960 --> 00:16:33,800
Speaker 1: is telling you you could say what happened? Remember she

257
00:16:33,880 --> 00:16:37,080
Speaker 1: was gonna be president the United States. Everybody and Now

258
00:16:37,120 --> 00:16:40,920
Speaker 1: she's all, Donald Trump doesn't have leadership. I should have

259
00:16:40,960 --> 00:16:44,200
Speaker 1: been the leader. Oh it's horrible. I know it hurts

260
00:16:44,200 --> 00:16:47,520
Speaker 1: your ears, it hurts my ears. But that's it's really

261
00:16:47,520 --> 00:16:51,440
Speaker 1: the most true, most true to the essence of Hillary

262
00:16:51,480 --> 00:16:55,200
Speaker 1: impression you could ever do. It's just all off putting

263
00:16:55,520 --> 00:16:59,680
Speaker 1: and screechy and awful. But yes, that's right, she's telling

264
00:16:59,720 --> 00:17:02,600
Speaker 1: you exactly what I said. The Democrats will continue to say,

265
00:17:02,600 --> 00:17:04,760
Speaker 1: which the Donald Trump's lack of leadership has cost us

266
00:17:04,760 --> 00:17:08,480
Speaker 1: lives and jobs. Meanwhile, let's look at the choices that

267
00:17:08,560 --> 00:17:14,880
Speaker 1: the president made about the virus. He handed over the

268
00:17:14,960 --> 00:17:19,880
Speaker 1: policy essentially to Burkes and Fauci, so they're not listening

269
00:17:19,920 --> 00:17:23,080
Speaker 1: to the experts thing it's just a lie. He shut

270
00:17:23,119 --> 00:17:25,600
Speaker 1: down flights from China, which now everyone who looked at

271
00:17:25,640 --> 00:17:28,080
Speaker 1: this admits, well, that was a good idea. It wasn't perfect,

272
00:17:28,160 --> 00:17:31,040
Speaker 1: it didn't stop everything, obviously, but it was a good idea,

273
00:17:31,200 --> 00:17:33,080
Speaker 1: and he was heavily criticized for that. And that was

274
00:17:33,119 --> 00:17:36,080
Speaker 1: an early decision. They said we were gonna run out

275
00:17:36,080 --> 00:17:39,880
Speaker 1: of ventilators, used the Defense Production Act Bam, lots of ventilators,

276
00:17:39,920 --> 00:17:41,880
Speaker 1: more ventilators than we need. Turns out, ventily is aren't

277
00:17:41,920 --> 00:17:46,280
Speaker 1: even a very good way to treat the disease. It's

278
00:17:46,280 --> 00:17:49,879
Speaker 1: a really very much a last stitch effort. But they

279
00:17:49,920 --> 00:17:52,400
Speaker 1: said we're gonna run on a PPE Defense Production Act. Nope,

280
00:17:52,400 --> 00:17:55,720
Speaker 1: we didn't run out a PPE. And then they said

281
00:17:55,760 --> 00:17:57,440
Speaker 1: that Trump was going to be a tyrant by telling

282
00:17:57,440 --> 00:17:59,880
Speaker 1: states what to do. No, he said, the CDC's guide

283
00:18:00,280 --> 00:18:03,120
Speaker 1: is as follows. It's up to states. When they reopened,

284
00:18:04,040 --> 00:18:06,720
Speaker 1: what do they oh? Because he said that this was

285
00:18:06,760 --> 00:18:10,440
Speaker 1: gonna go away or he was hopeful about hydroxy chloroquin.

286
00:18:10,720 --> 00:18:14,480
Speaker 1: Once again we see that liberals talk as though Trump

287
00:18:14,560 --> 00:18:19,399
Speaker 1: has made catastrophic decisions when really and this has been

288
00:18:19,440 --> 00:18:22,760
Speaker 1: their problem, this has been their psychosis. So along he

289
00:18:22,840 --> 00:18:27,720
Speaker 1: has said things that upset them, which they take to

290
00:18:27,840 --> 00:18:32,120
Speaker 1: be catastrophic, but which had no meaning, doesn't mean anything.

291
00:18:32,200 --> 00:18:37,080
Speaker 1: The President says, you know, yeah, hopefully it's gonna go away. Okay,

292
00:18:37,240 --> 00:18:39,560
Speaker 1: that was then, and then he took a lot of that.

293
00:18:39,680 --> 00:18:41,639
Speaker 1: We saw what was happening. I mean, the president doesn't know.

294
00:18:42,640 --> 00:18:44,800
Speaker 1: Fauci was saying it was no big deal too. I

295
00:18:44,840 --> 00:18:48,000
Speaker 1: mean they're just hoping that you don't ever look and

296
00:18:48,040 --> 00:18:50,560
Speaker 1: do the research and figure out what a bunch of liars.

297
00:18:50,600 --> 00:18:53,879
Speaker 1: The libs are thanks for listening to the buses and

298
00:18:53,960 --> 00:18:58,720
Speaker 1: show podcasts. Remember to subscribe on Apple podcasts, the iHeartRadio app,

299
00:18:58,880 --> 00:19:02,600
Speaker 1: or wherever you get your podcast. I think it is

300
00:19:03,280 --> 00:19:06,520
Speaker 1: a fair point to raise as to whether or not

301
00:19:06,680 --> 00:19:10,560
Speaker 1: if he loses, she's going to go quietly or not,

302
00:19:11,480 --> 00:19:14,520
Speaker 1: and we have to be ready for that. I come on,

303
00:19:15,520 --> 00:19:18,080
Speaker 1: this woman wanted to be present the United States. She's

304
00:19:18,080 --> 00:19:23,760
Speaker 1: supposed to be serious. Hello, here's Hilarie Clinton saying that Trump,

305
00:19:23,800 --> 00:19:28,040
Speaker 1: if he loses, may not peacefully leave the White House.

306
00:19:28,359 --> 00:19:34,280
Speaker 1: These people are insane. This is not reasonable or rational

307
00:19:34,440 --> 00:19:37,720
Speaker 1: at all. They said that he was a fascist, he

308
00:19:37,760 --> 00:19:40,840
Speaker 1: was an authoritarian. People were making all these allusions to

309
00:19:40,880 --> 00:19:45,160
Speaker 1: the Third Reich when Trump won in twenty sixteen, and

310
00:19:45,280 --> 00:19:48,760
Speaker 1: you have a pandemic where he could be an absolute

311
00:19:48,920 --> 00:19:51,520
Speaker 1: iron fisted because look at what people are doing in

312
00:19:51,960 --> 00:19:55,400
Speaker 1: different states, Democrat governors and even some Republican governors these days.

313
00:19:56,600 --> 00:19:58,880
Speaker 1: But no Trump has said, Okay, we're gonna we're gonna

314
00:19:58,920 --> 00:20:00,280
Speaker 1: work on this. We're gonna work with the I would

315
00:20:00,280 --> 00:20:02,639
Speaker 1: seck there. We're going to have you know, committees and

316
00:20:02,720 --> 00:20:05,240
Speaker 1: talk to different states and give them funding and work

317
00:20:05,280 --> 00:20:09,240
Speaker 1: with CDC, nothing fascistic about it. In fact, if anything,

318
00:20:09,280 --> 00:20:10,520
Speaker 1: he might have been a little bit too much of

319
00:20:10,600 --> 00:20:13,960
Speaker 1: a of a soft touch on dealing with these different issues.

320
00:20:14,000 --> 00:20:19,040
Speaker 1: He might have benefited from being a little bit more

321
00:20:19,160 --> 00:20:22,480
Speaker 1: hardline in his approach to you know, for example, the

322
00:20:22,560 --> 00:20:26,240
Speaker 1: speed of reopen or whatever the specific dispute may be.

323
00:20:27,800 --> 00:20:31,560
Speaker 1: But they haven't. The Democrats haven't recalibrated any of the

324
00:20:31,600 --> 00:20:36,359
Speaker 1: talking points, they haven't changed any of their initial set

325
00:20:36,480 --> 00:20:43,000
Speaker 1: of hysterical analyzes. And Hillary is just another example of

326
00:20:43,040 --> 00:20:46,120
Speaker 1: this with her, Oh he may not leave the When

327
00:20:46,200 --> 00:20:50,200
Speaker 1: is that? When? What you could say? This is without evidence?

328
00:20:50,200 --> 00:20:53,720
Speaker 1: That's one of the Democrat's favorite snide little phrases. What

329
00:20:54,119 --> 00:20:57,440
Speaker 1: with what evidence is there at all? Their zero? And

330
00:20:57,520 --> 00:21:01,240
Speaker 1: so why do they say this? Why do they do this? Well,

331
00:21:01,280 --> 00:21:05,240
Speaker 1: because it goes to that part of the liberal brain

332
00:21:05,680 --> 00:21:09,359
Speaker 1: that has been so polluted with anti Trump propaganda that

333
00:21:09,400 --> 00:21:12,680
Speaker 1: there's nothing that they can say about him that it's

334
00:21:12,760 --> 00:21:18,080
Speaker 1: too extreme to believe. Remember, they've called him a traitor

335
00:21:18,840 --> 00:21:23,680
Speaker 1: for years now, without evidence, call him a trader, be

336
00:21:23,800 --> 00:21:27,159
Speaker 1: trade his country, such a bad guy. What are the

337
00:21:27,240 --> 00:21:30,040
Speaker 1: horrible things that Trump has done in office? I love

338
00:21:30,119 --> 00:21:33,679
Speaker 1: asking liberals this and theyllwist turn to some remember what

339
00:21:33,760 --> 00:21:36,320
Speaker 1: he said about the Charlottesville It's like, that's a lie.

340
00:21:36,600 --> 00:21:39,720
Speaker 1: Stop lying. He didn't say the neo Nazis were good.

341
00:21:39,920 --> 00:21:43,480
Speaker 1: I've read the transcript dozens of times now, it's obvious

342
00:21:43,680 --> 00:21:46,240
Speaker 1: what he said. He clarified it. That's a lot, But

343
00:21:46,320 --> 00:21:48,840
Speaker 1: that's one of their first go to because Libs are

344
00:21:48,920 --> 00:21:53,639
Speaker 1: used to arguing from this cheap virtue position all the

345
00:21:53,680 --> 00:21:57,600
Speaker 1: time of oh, well, I'm the good person and they're

346
00:21:57,680 --> 00:22:00,160
Speaker 1: the bad person. So it doesn't matter what they actual

347
00:22:00,240 --> 00:22:03,719
Speaker 1: argument or issue is. You know, I'm a supporter of

348
00:22:03,800 --> 00:22:06,480
Speaker 1: BLM and they are not. Therefore I'm a better human

349
00:22:06,520 --> 00:22:08,919
Speaker 1: being than those Republicans. This is what they do with

350
00:22:08,960 --> 00:22:11,600
Speaker 1: everything all the time. It's never about the issue. It's

351
00:22:11,600 --> 00:22:15,879
Speaker 1: always about they're just superior. Their side is so smart.

352
00:22:17,240 --> 00:22:19,119
Speaker 1: That's always an amazing one to me too, right, their

353
00:22:19,160 --> 00:22:22,679
Speaker 1: side is so smart. Meanwhile, if you're dependent on the state,

354
00:22:23,320 --> 00:22:27,000
Speaker 1: if you're effectively award of the state, you vote Democrat.

355
00:22:27,440 --> 00:22:31,480
Speaker 1: And if you're an ultra elite billionaire, chances are you

356
00:22:31,520 --> 00:22:35,520
Speaker 1: will also be a Democrat. You know, there's a wide

357
00:22:35,720 --> 00:22:42,080
Speaker 1: swath of ideological proclivities and of individual situations that the

358
00:22:42,119 --> 00:22:47,480
Speaker 1: Democrat Party encompasses and what it doesn't include people that

359
00:22:47,800 --> 00:22:50,320
Speaker 1: see things for what they are, just want to live

360
00:22:50,359 --> 00:22:53,760
Speaker 1: their lives, make as many decisions for themselves as they can,

361
00:22:53,960 --> 00:22:56,960
Speaker 1: and just be left the heck alone. That's the kryptonite

362
00:22:57,000 --> 00:22:59,520
Speaker 1: to liberalism, which is of course the worst word ever

363
00:22:59,560 --> 00:23:02,840
Speaker 1: for it, because as they're anti liberal, but conservatives not

364
00:23:02,880 --> 00:23:05,359
Speaker 1: only have we ceded institutions and this is a this

365
00:23:05,440 --> 00:23:08,919
Speaker 1: is a major complaint of mine, and I know I

366
00:23:09,000 --> 00:23:11,520
Speaker 1: complain about it in the hopes that this will just

367
00:23:11,600 --> 00:23:13,640
Speaker 1: catch on more and we will think about this more.

368
00:23:13,640 --> 00:23:17,119
Speaker 1: And my friends in conservative media, I think we need

369
00:23:17,160 --> 00:23:20,320
Speaker 1: a better name even for usselves sometimes or better shorthand

370
00:23:21,119 --> 00:23:25,120
Speaker 1: phrases than just calling ourselves conservatives. I'm okay with right wing.

371
00:23:25,119 --> 00:23:28,160
Speaker 1: I don't see what the problem is with that, but uh, there,

372
00:23:28,280 --> 00:23:30,760
Speaker 1: we need better language to use in these debates. We

373
00:23:30,800 --> 00:23:34,679
Speaker 1: need a better term for you know, what is the

374
00:23:34,720 --> 00:23:41,080
Speaker 1: word that brings together BLM activists and ANTIFA lunatics and

375
00:23:41,200 --> 00:23:48,040
Speaker 1: statue toppling, you know, mediocre PhD students like what brings

376
00:23:48,119 --> 00:23:51,399
Speaker 1: them all? Yeah? The left? But that's very broad. We

377
00:23:51,520 --> 00:23:55,119
Speaker 1: need better terms. Liberal is a misnomer, an intentional misnomer

378
00:23:55,720 --> 00:23:57,720
Speaker 1: the same way that Black lives Matter is the name

379
00:23:57,720 --> 00:24:00,000
Speaker 1: of the group, So that if you challenge the groups

380
00:24:00,000 --> 00:24:04,440
Speaker 1: policy positions, there's the implication of racial animus, because are

381
00:24:04,480 --> 00:24:06,960
Speaker 1: you saying you don't agree that black lives matter? I mean,

382
00:24:06,960 --> 00:24:11,840
Speaker 1: this is it's it's a cheap trick, but it works. Right,

383
00:24:12,359 --> 00:24:15,400
Speaker 1: do you support black lives matter? You better say yes

384
00:24:15,400 --> 00:24:19,439
Speaker 1: to that, right, even though, of course black lives matter.

385
00:24:19,760 --> 00:24:22,280
Speaker 1: But are we talking about the group? Are we talking

386
00:24:22,359 --> 00:24:26,680
Speaker 1: about the phrase? This is? This is how the left

387
00:24:27,200 --> 00:24:29,960
Speaker 1: argues the same thing they do with Do you believe

388
00:24:30,000 --> 00:24:34,200
Speaker 1: in climate change? Of course I believe in climate change.

389
00:24:34,280 --> 00:24:38,320
Speaker 1: Climate's always changing. What kind of Oh? No, do I

390
00:24:38,400 --> 00:24:41,119
Speaker 1: think that we should put morons like AOC in charge

391
00:24:41,119 --> 00:24:44,120
Speaker 1: of reordering trillions of dollars at the economy and putting

392
00:24:44,240 --> 00:24:48,440
Speaker 1: endless government commissions and bureaucrats in control of every aspect

393
00:24:48,480 --> 00:24:50,400
Speaker 1: of your life down the manusha down to the minutia

394
00:24:50,480 --> 00:24:52,639
Speaker 1: of the light bulbs in your house, what you're eating,

395
00:24:52,840 --> 00:24:57,000
Speaker 1: how you deal with your waste. No, no, I do

396
00:24:57,119 --> 00:25:00,359
Speaker 1: not agree with that. Right. So the same have the

397
00:25:00,359 --> 00:25:03,120
Speaker 1: same problem with calling them liberals. They are anti liberal.

398
00:25:03,720 --> 00:25:07,359
Speaker 1: But to be constantly talking about the liberals assault on

399
00:25:07,480 --> 00:25:12,000
Speaker 1: liberty creates a cognitive dissonance just the language we use.

400
00:25:12,280 --> 00:25:15,719
Speaker 1: And this really matters. You go back and read Orwell's

401
00:25:17,160 --> 00:25:20,919
Speaker 1: Orwell's essays on politics and the English language, and he

402
00:25:21,000 --> 00:25:24,280
Speaker 1: knew that this is this is a critical part of

403
00:25:24,320 --> 00:25:26,199
Speaker 1: the battle of ideas. What words do we have to use?

404
00:25:26,240 --> 00:25:29,880
Speaker 1: Why are they always trying to force us to say? Undocumented?

405
00:25:31,000 --> 00:25:34,520
Speaker 1: Undocumented is so easy? Right, that's there's no law breaking there.

406
00:25:34,560 --> 00:25:38,120
Speaker 1: You're just let's just give them some documents. Illegal alien

407
00:25:38,359 --> 00:25:40,880
Speaker 1: sounds like somebody that shouldn't be doing what they're doing.

408
00:25:41,080 --> 00:25:46,080
Speaker 1: It's illegal, and an alien is something foreign. But no, no, undocumented,

409
00:25:46,200 --> 00:25:48,399
Speaker 1: Let's just give them some documents. Right. You see endless

410
00:25:48,440 --> 00:25:54,960
Speaker 1: examples of this. But Hillary, Hillary, Hillary, There's nothing that

411
00:25:55,040 --> 00:25:58,399
Speaker 1: can be said by Hillary or any of the Democrats

412
00:25:58,440 --> 00:26:00,680
Speaker 1: that will be considered beyond the pale about this president.

413
00:26:01,720 --> 00:26:07,800
Speaker 1: They will go to absolute extremes and they will lie

414
00:26:07,920 --> 00:26:10,200
Speaker 1: right to your face, right to America's face, about all

415
00:26:10,200 --> 00:26:16,000
Speaker 1: of this. Think about what they've been willing to say

416
00:26:16,160 --> 00:26:19,119
Speaker 1: when the country was doing well, and now now the

417
00:26:19,160 --> 00:26:23,040
Speaker 1: country is in trouble. It's not the end. I mean,

418
00:26:23,080 --> 00:26:25,600
Speaker 1: if Democrats win, maybe, but you know, well, well, we

419
00:26:25,640 --> 00:26:32,439
Speaker 1: will get through this. But the ferocity that has built

420
00:26:32,520 --> 00:26:39,879
Speaker 1: up in the leftist mind from years now of what

421
00:26:40,000 --> 00:26:45,320
Speaker 1: they view is having to suffer under Trump. This is

422
00:26:46,240 --> 00:26:49,280
Speaker 1: a major issue. This is a major concern. We're all

423
00:26:49,320 --> 00:26:52,480
Speaker 1: gonna have to deal with. The psychosis, damn is breaking.

424
00:26:52,840 --> 00:26:55,440
Speaker 1: They're going to come at us with so much. And

425
00:26:55,520 --> 00:26:57,600
Speaker 1: people that you thought were reasonable, who were in the

426
00:26:57,600 --> 00:27:01,400
Speaker 1: media before, people that that you thought we're maybe willing

427
00:27:02,000 --> 00:27:05,320
Speaker 1: to be fair minded sometimes are just going to sound

428
00:27:06,200 --> 00:27:10,920
Speaker 1: like the most extreme huff Post do as I say,

429
00:27:11,080 --> 00:27:15,080
Speaker 1: or you're a racist ibologue, imaginable. You're going to see

430
00:27:15,119 --> 00:27:18,560
Speaker 1: this happening all over the place, and it's going to

431
00:27:18,640 --> 00:27:22,359
Speaker 1: be a very disconcerting to anybody who hoped for a

432
00:27:22,400 --> 00:27:24,879
Speaker 1: better future for this country. Oh and you're going to

433
00:27:24,960 --> 00:27:30,280
Speaker 1: have people weighing in, like Susan Rice on why Trump

434
00:27:30,359 --> 00:27:33,119
Speaker 1: is such a bad guy, because now we're thinking about

435
00:27:33,359 --> 00:27:36,320
Speaker 1: we're being told at least that Susan Rice may become

436
00:27:36,400 --> 00:27:42,359
Speaker 1: Joe Biden's vice president based on what Susan Rice. You know,

437
00:27:42,800 --> 00:27:44,920
Speaker 1: And I guess we've reached this point too in politics,

438
00:27:44,920 --> 00:27:47,439
Speaker 1: where it's just all about the narrative that can be

439
00:27:47,520 --> 00:27:51,120
Speaker 1: forced upon people. It's not really about accomplishment or ability

440
00:27:51,160 --> 00:27:53,879
Speaker 1: or leadership, certainly off of the Democrats. And look, I

441
00:27:53,960 --> 00:27:56,320
Speaker 1: got a lot of nasty words for Republicans these days too.

442
00:27:56,359 --> 00:28:00,000
Speaker 1: Republicans are asleep at the wheel, not getting it done.

443
00:28:00,520 --> 00:28:03,399
Speaker 1: Where is the Republican Party? How much different would the

444
00:28:03,400 --> 00:28:07,560
Speaker 1: country really be right now if Republicans didn't exist? It's

445
00:28:07,600 --> 00:28:10,239
Speaker 1: worth asking the question. I mean the Republican Party, not

446
00:28:10,320 --> 00:28:13,680
Speaker 1: people who are conservative in their ideology, but how different

447
00:28:13,680 --> 00:28:15,480
Speaker 1: would the country be if the Republican Party's like, yeah,

448
00:28:15,480 --> 00:28:18,680
Speaker 1: we're just gonna vote present. It's kind of what they're doing.

449
00:28:18,760 --> 00:28:23,760
Speaker 1: They're just showing up voting present. So you're going to

450
00:28:23,880 --> 00:28:27,240
Speaker 1: have people like Susan Rice who are just repeating the

451
00:28:27,280 --> 00:28:30,520
Speaker 1: most mindless talking points. But if you hear it enough,

452
00:28:31,160 --> 00:28:33,040
Speaker 1: maybe for you and me, it doesn't have any effect.

453
00:28:33,440 --> 00:28:36,160
Speaker 1: For a lot of people who are frustrated, who are scared,

454
00:28:36,480 --> 00:28:38,560
Speaker 1: who don't know what the future holds, given what the

455
00:28:38,600 --> 00:28:41,400
Speaker 1: country's going through right now, they hear enough of this

456
00:28:41,480 --> 00:28:45,200
Speaker 1: and they're going to think, maybe we just need something else.

457
00:28:45,880 --> 00:28:48,800
Speaker 1: How bad can Joe Biden really be? Guy's been in

458
00:28:48,920 --> 00:28:52,120
Speaker 1: politics for longer than I've been alive. How bad can

459
00:28:52,160 --> 00:28:55,840
Speaker 1: this really be? Well, pretty bad. But here's Susan Rice

460
00:28:55,880 --> 00:29:00,280
Speaker 1: play four, and he shouldn't respect the science and respect

461
00:29:00,320 --> 00:29:04,680
Speaker 1: the experts, stop assailing people like Tony Faunci put them

462
00:29:04,760 --> 00:29:08,320
Speaker 1: in the lead. The reality is that this is not

463
00:29:08,680 --> 00:29:12,600
Speaker 1: an pandemic that we can wish away. The President Trump

464
00:29:12,640 --> 00:29:15,120
Speaker 1: was cheerleading the reopening of the economy. It proved to

465
00:29:15,160 --> 00:29:19,320
Speaker 1: be deadly premature, and that's why we're seeing in the

466
00:29:19,360 --> 00:29:21,000
Speaker 1: South and the West some of the first states to

467
00:29:21,000 --> 00:29:26,440
Speaker 1: reopen these extraordinary resurgence. We cannot do as the President

468
00:29:26,720 --> 00:29:30,880
Speaker 1: Trump is doing and play politics with and be willing

469
00:29:30,920 --> 00:29:35,000
Speaker 1: to sacrifice the lives of our children and their teachers.

470
00:29:35,440 --> 00:29:38,680
Speaker 1: So we need to get the testing ramped up even further.

471
00:29:38,920 --> 00:29:42,560
Speaker 1: We need to get the contact tracing sorted out. We

472
00:29:42,640 --> 00:29:45,920
Speaker 1: need to restore some of the restrictions that were put

473
00:29:46,000 --> 00:29:50,000
Speaker 1: in place early on and lifted prematurely, as California has

474
00:29:50,120 --> 00:29:54,600
Speaker 1: just done everything. She says here, let's think through for

475
00:29:54,640 --> 00:30:01,280
Speaker 1: a second. Okay, this is moronic. We're testing would do

476
00:30:01,320 --> 00:30:04,920
Speaker 1: what exactly? We're testing more than we've ever done before,

477
00:30:05,160 --> 00:30:08,120
Speaker 1: and you know we're finding out we're catching about, uh,

478
00:30:08,440 --> 00:30:12,800
Speaker 1: you know, ten percent of the actual cases that are

479
00:30:12,840 --> 00:30:16,640
Speaker 1: that are new every day, So we're gonna do ten

480
00:30:16,680 --> 00:30:18,600
Speaker 1: times as much testing. People are getting sick all over

481
00:30:18,640 --> 00:30:21,240
Speaker 1: the getting this disease all over the place, in California

482
00:30:21,240 --> 00:30:24,880
Speaker 1: and Texas and Arizona and Florida. Recently. You know how

483
00:30:24,880 --> 00:30:27,720
Speaker 1: many deaths were in Florida with you know, fifteen thousand

484
00:30:27,800 --> 00:30:31,160
Speaker 1: cases in a day or whatever. It was thirty I

485
00:30:31,160 --> 00:30:35,360
Speaker 1: think it was thirty four. You know, these are this

486
00:30:35,440 --> 00:30:39,040
Speaker 1: is still a manageable situation. But what she tells us

487
00:30:39,120 --> 00:30:41,120
Speaker 1: is listen to the science. That's a stupid slogan. What

488
00:30:41,160 --> 00:30:46,400
Speaker 1: does the science tell us testing testing, testing, This is meaningless.

489
00:30:47,440 --> 00:30:51,280
Speaker 1: The disease is spreading. You can have testing all over

490
00:30:51,320 --> 00:30:54,960
Speaker 1: the place and we do, and people will still get

491
00:30:55,000 --> 00:30:58,480
Speaker 1: the disease because it is at widespread levels. It's all

492
00:30:58,480 --> 00:31:03,160
Speaker 1: over the country, it's all over the world. Yeah, we'd

493
00:31:03,160 --> 00:31:04,600
Speaker 1: know a little bit more, we'd have a little more

494
00:31:04,680 --> 00:31:06,920
Speaker 1: data on where some of the hot spots work. Guess

495
00:31:06,920 --> 00:31:11,360
Speaker 1: what we already know where the hot spots are. Testing

496
00:31:11,440 --> 00:31:14,240
Speaker 1: is not a cure. They act like testing is a vaccination. Oh,

497
00:31:14,320 --> 00:31:16,400
Speaker 1: just got enough people tested it and everything's gonna be fine. No,

498
00:31:17,400 --> 00:31:19,400
Speaker 1: And then the tracing thing that she even says that

499
00:31:19,400 --> 00:31:22,720
Speaker 1: that's laughable. You're gonna trace this right now? A lot

500
00:31:22,720 --> 00:31:24,840
Speaker 1: of people are waiting. I am a friend who just

501
00:31:24,840 --> 00:31:30,840
Speaker 1: got tested and waited a week for results. So unless

502
00:31:30,840 --> 00:31:32,840
Speaker 1: we're going to get everybody to have fifteen minute tests,

503
00:31:34,000 --> 00:31:36,760
Speaker 1: how are we ever going to have a tracing system.

504
00:31:37,320 --> 00:31:39,040
Speaker 1: The only way a tracing system is going to work

505
00:31:39,080 --> 00:31:41,280
Speaker 1: is at the virus level went down to effectively zero,

506
00:31:41,640 --> 00:31:43,880
Speaker 1: and then it was at such low levels of spread,

507
00:31:44,440 --> 00:31:46,280
Speaker 1: and you would have to have people in place and

508
00:31:46,320 --> 00:31:48,720
Speaker 1: ready to go and be efficient and be pretty lucky

509
00:31:49,440 --> 00:31:51,840
Speaker 1: to trace it and to try to contain it before

510
00:31:52,080 --> 00:31:56,120
Speaker 1: it's already spread all over the place. There's no tracing this.

511
00:31:56,400 --> 00:31:58,320
Speaker 1: So when they say things like keys to listen to

512
00:31:58,360 --> 00:32:00,959
Speaker 1: the science, more testing and we need to get our

513
00:32:01,000 --> 00:32:06,600
Speaker 1: tracing squared away, bull crap. This is just noise. This

514
00:32:06,680 --> 00:32:11,400
Speaker 1: is meaningless. But this is what you're just gonna hear

515
00:32:11,480 --> 00:32:13,440
Speaker 1: more and more the think it through. Okay, we're gonna

516
00:32:13,480 --> 00:32:16,800
Speaker 1: we're gonna do. What What is testing gonna do for us?

517
00:32:17,200 --> 00:32:19,719
Speaker 1: Beyond what we are? We're already testing. All I hear

518
00:32:19,720 --> 00:32:21,840
Speaker 1: about this all the time. We're already testing. We're seeing

519
00:32:22,000 --> 00:32:25,640
Speaker 1: record levels of testing. If we doubled the testing, what

520
00:32:25,680 --> 00:32:29,680
Speaker 1: would that mean we have more test on it's just

521
00:32:30,520 --> 00:32:32,520
Speaker 1: that they have no real answers on this. Oh, and

522
00:32:32,560 --> 00:32:37,960
Speaker 1: then more restrictions, the the policy tests and trace. All

523
00:32:37,960 --> 00:32:42,640
Speaker 1: of this was never about shut down the country until

524
00:32:42,720 --> 00:32:46,920
Speaker 1: the virus is gone. That was never offered to us.

525
00:32:46,960 --> 00:32:50,240
Speaker 1: That was never the bargain we were told. It was

526
00:32:50,280 --> 00:32:53,440
Speaker 1: about hospital capacity. And now you have people who keep

527
00:32:53,440 --> 00:32:55,520
Speaker 1: coming forward to say, listen to the science. There are

528
00:32:55,560 --> 00:32:59,400
Speaker 1: too many cases. Lockdown again. Okay, you go into restrictions,

529
00:32:59,400 --> 00:33:02,480
Speaker 1: tell people this, stay home, no indoor activities, but the

530
00:33:02,560 --> 00:33:05,440
Speaker 1: virus is still out there. When you start doing things again,

531
00:33:05,680 --> 00:33:10,480
Speaker 1: the virus will return to a level of spread. And

532
00:33:10,600 --> 00:33:15,040
Speaker 1: we cannot have a functioning society that keeps locking down

533
00:33:15,440 --> 00:33:19,000
Speaker 1: for a virus that kills less than one tenth of

534
00:33:19,080 --> 00:33:23,320
Speaker 1: one percent of people who get it, which when you

535
00:33:23,360 --> 00:33:26,080
Speaker 1: look at the real numbers, eventually it's probably gonna be

536
00:33:27,320 --> 00:33:31,760
Speaker 1: you know, point one, maybe point three or four percent

537
00:33:32,240 --> 00:33:38,040
Speaker 1: fatality rate. You can't keep locking down America over this. Oh,

538
00:33:38,760 --> 00:33:41,200
Speaker 1: but they pretend like they have answers. These people are

539
00:33:41,200 --> 00:33:43,920
Speaker 1: They look the shameless demagogues, and they're ruining the country

540
00:33:44,080 --> 00:33:49,080
Speaker 1: right now. They're ruining it. You're in the freedom hunt

541
00:33:49,560 --> 00:33:56,000
Speaker 1: this is the Buck Sex and Show podcast. And when

542
00:33:56,000 --> 00:33:59,640
Speaker 1: you test, you create cases. So we've created cases. I

543
00:33:59,680 --> 00:34:02,400
Speaker 1: can you. Some countries they test when somebody walks into

544
00:34:02,440 --> 00:34:05,800
Speaker 1: a hospital sick, or walks into maybe a doctor's office,

545
00:34:05,840 --> 00:34:08,719
Speaker 1: but usually a hospital. That's the testing they do, so

546
00:34:08,760 --> 00:34:11,839
Speaker 1: they don't have cases, whereas we do. We have all

547
00:34:11,840 --> 00:34:14,919
Speaker 1: of these cases. So you know, it's a double edged short.

548
00:34:14,960 --> 00:34:17,880
Speaker 1: At the same time, we have the lowest mortality or

549
00:34:17,960 --> 00:34:21,520
Speaker 1: just about the lowest mortality in the world. We're doing

550
00:34:21,560 --> 00:34:23,920
Speaker 1: a great job. We're doing very well with vaccines, and

551
00:34:23,960 --> 00:34:27,319
Speaker 1: we're doing very very well with therapeutics, and I think

552
00:34:27,320 --> 00:34:29,640
Speaker 1: we're gonna have some very good information coming out soon.

553
00:34:29,719 --> 00:34:34,520
Speaker 1: But we have the best and certainly the biggest, by far,

554
00:34:34,680 --> 00:34:37,600
Speaker 1: the biggest testing program anywhere in the world. We do

555
00:34:37,719 --> 00:34:40,600
Speaker 1: have the biggest testing program, and we still have all

556
00:34:40,640 --> 00:34:42,799
Speaker 1: this criticism from people about how there's not enough, there's

557
00:34:42,800 --> 00:34:45,200
Speaker 1: never enough testing, there's never gonna be enough testing. This

558
00:34:45,200 --> 00:34:48,000
Speaker 1: this is the way, because this is it's like the

559
00:34:48,000 --> 00:34:49,640
Speaker 1: theoretical how do you ever get to the place where

560
00:34:49,680 --> 00:34:51,560
Speaker 1: there's enough testing? Were never there? So let's just complain

561
00:34:51,600 --> 00:34:54,520
Speaker 1: about it constantly. Look some of what Trump said, there

562
00:34:54,640 --> 00:34:57,960
Speaker 1: is a little off by the facts, but he's right

563
00:34:58,000 --> 00:35:01,200
Speaker 1: on the broadside since but yeah, I know we're not.

564
00:35:01,239 --> 00:35:03,680
Speaker 1: We don't have the lowest mortality in the world compared

565
00:35:03,719 --> 00:35:07,719
Speaker 1: to some smaller countries in New Zealand and Japan, and

566
00:35:07,840 --> 00:35:10,759
Speaker 1: Japan's not a small country, but there are there are

567
00:35:10,800 --> 00:35:13,520
Speaker 1: countries out there that have done better than us when

568
00:35:13,520 --> 00:35:16,640
Speaker 1: it comes to per capita mortality against this virus. But

569
00:35:16,760 --> 00:35:19,880
Speaker 1: what he's referring to is that compared to the societies

570
00:35:19,920 --> 00:35:25,839
Speaker 1: that are of comparable size, complexity, diversity, you know, international

571
00:35:25,880 --> 00:35:29,000
Speaker 1: travel hub, etc. To the United States, You're looking at

572
00:35:29,120 --> 00:35:36,880
Speaker 1: large Western European countries and you have the US beating Italy, Spain,

573
00:35:37,280 --> 00:35:42,280
Speaker 1: the UK, every large European country on a per capita

574
00:35:42,280 --> 00:35:47,600
Speaker 1: basis except for Germany. France better than France. So you know,

575
00:35:47,800 --> 00:35:50,480
Speaker 1: it's it's not like America is the one place that's

576
00:35:50,480 --> 00:35:53,759
Speaker 1: been hit really hard by this. But that is the

577
00:35:53,920 --> 00:35:57,760
Speaker 1: lie the Democrats lean into and just will not stop

578
00:35:57,880 --> 00:36:00,879
Speaker 1: telling it, And now that is going to turn into

579
00:36:00,880 --> 00:36:05,080
Speaker 1: a giant battle over schools. Thanks for listening to The

580
00:36:05,200 --> 00:36:09,320
Speaker 1: Bus and Show podcasts. Remember to subscribe on Apple podcasts,

581
00:36:09,480 --> 00:36:15,640
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. Teachers unions,

582
00:36:15,680 --> 00:36:18,120
Speaker 1: you may have figured out at this point, I'm not

583
00:36:18,160 --> 00:36:20,960
Speaker 1: a fan. I'm not a fan of any public sector

584
00:36:21,040 --> 00:36:23,640
Speaker 1: union quite honestly. I mean, I could be persuaded that

585
00:36:23,719 --> 00:36:31,080
Speaker 1: cops and firefighters need them, but not civil servants, not

586
00:36:32,360 --> 00:36:36,719
Speaker 1: you know, bureaucrats working in state capitals, people that are

587
00:36:38,160 --> 00:36:42,520
Speaker 1: teaching kids in public schools. I just I'm not signing

588
00:36:42,600 --> 00:36:46,040
Speaker 1: on for that. But unfortunately, that's the reality of the

589
00:36:46,520 --> 00:36:49,080
Speaker 1: education system in this country. You have a massive, bloated

590
00:36:49,160 --> 00:36:55,400
Speaker 1: and highly ineffective on the whole public school system that

591
00:36:55,640 --> 00:36:58,480
Speaker 1: is largely a jobs program for adults and at best

592
00:36:59,000 --> 00:37:04,040
Speaker 1: a babysitting program for kids in failing schools. But the

593
00:37:04,160 --> 00:37:06,520
Speaker 1: LA if you want to know what this is really

594
00:37:06,560 --> 00:37:09,480
Speaker 1: all about, Yes, it's true. And it's obvious that the

595
00:37:09,600 --> 00:37:13,520
Speaker 1: shutdowns of schools in places. Los Angeles County has already

596
00:37:13,520 --> 00:37:16,319
Speaker 1: said no, not gonna, not gonna open schools in the fall.

597
00:37:18,600 --> 00:37:20,719
Speaker 1: They've already said that that's their position as it now.

598
00:37:20,840 --> 00:37:24,359
Speaker 1: Now that could change, But when you look at what's

599
00:37:24,400 --> 00:37:26,319
Speaker 1: being talked about, hold on, I thought this was just

600
00:37:26,400 --> 00:37:32,640
Speaker 1: about safety. I thought this was just about making sure

601
00:37:32,680 --> 00:37:36,240
Speaker 1: that everyone's okay in the classroom. Oh No, it turns

602
00:37:36,239 --> 00:37:38,319
Speaker 1: out it had to the Daily Caller for this one.

603
00:37:39,200 --> 00:37:42,719
Speaker 1: The United Teachers Los Angeles union has called for the

604
00:37:42,840 --> 00:37:49,799
Speaker 1: defunding of police, a moratorium on new charter schools, new

605
00:37:49,840 --> 00:37:55,680
Speaker 1: wealth taxes on California's millionaires and billionaires, and Medicare for

606
00:37:55,800 --> 00:37:59,920
Speaker 1: all at the federal level. In a research paper issue

607
00:38:00,120 --> 00:38:04,240
Speaker 1: on Thursday, It's time to take a stand against Trump's

608
00:38:04,360 --> 00:38:09,200
Speaker 1: dangerous anti science agenda that puts the lives of our members,

609
00:38:09,680 --> 00:38:13,400
Speaker 1: our students, and our families at risk, said United Teachers

610
00:38:13,440 --> 00:38:20,919
Speaker 1: Los Angeles president Cecily my Art Cruise. Yeah, there you go. There.

611
00:38:20,920 --> 00:38:23,920
Speaker 1: I got a paper here that says that the reopening

612
00:38:23,920 --> 00:38:27,200
Speaker 1: of school should be conditioned upon the passage of Medicare

613
00:38:27,239 --> 00:38:29,239
Speaker 1: for all at the federal level, along with all that

614
00:38:29,320 --> 00:38:32,080
Speaker 1: other stuff. Wait, wait a second. I thought teachers unions

615
00:38:32,120 --> 00:38:33,799
Speaker 1: just wanted to teach man. I thought they were all

616
00:38:33,800 --> 00:38:37,040
Speaker 1: about the kids. I thought this was just about getting

617
00:38:37,040 --> 00:38:40,320
Speaker 1: the classroom safely to open up the wonders of the

618
00:38:40,400 --> 00:38:44,520
Speaker 1: children's minds to the great literature of And there's this.

619
00:38:45,000 --> 00:38:48,719
Speaker 1: There's a whole other conversation that we should have and

620
00:38:48,719 --> 00:38:52,600
Speaker 1: we'll have sometimes about what constitutes great literature or literature

621
00:38:52,600 --> 00:38:56,879
Speaker 1: worthy of teaching children anymore. From what I understand from

622
00:38:56,880 --> 00:38:58,719
Speaker 1: a friend of mine who is a public school teacher

623
00:38:58,719 --> 00:39:01,480
Speaker 1: in New York, there's a there are a whole series

624
00:39:01,520 --> 00:39:03,200
Speaker 1: of books, and I have not read them, and so

625
00:39:03,280 --> 00:39:07,080
Speaker 1: I'm not deeply familiar with them that go into um,

626
00:39:07,440 --> 00:39:12,319
Speaker 1: shall we say, stories that would be more familiar in

627
00:39:12,840 --> 00:39:19,319
Speaker 1: high crime and largely minority neighborhoods, instead of you know,

628
00:39:19,400 --> 00:39:23,440
Speaker 1: reading Charlotte's Web or you know, other books that many

629
00:39:23,480 --> 00:39:25,440
Speaker 1: of us were would be familiar with from the what

630
00:39:25,560 --> 00:39:28,600
Speaker 1: had been considered, you know, Catcher in the Rye, Right,

631
00:39:28,680 --> 00:39:30,759
Speaker 1: I don't know things like that. No, no, no, Now

632
00:39:30,800 --> 00:39:33,920
Speaker 1: they're reading books about guys who are This is what

633
00:39:33,960 --> 00:39:37,040
Speaker 1: I this is what I was told, guys who you know,

634
00:39:37,160 --> 00:39:39,880
Speaker 1: don't have like like a guy who comes home doesn't

635
00:39:39,920 --> 00:39:42,520
Speaker 1: have a mom or dad, you know, living with his grandma.

636
00:39:42,760 --> 00:39:44,960
Speaker 1: They're drug dealers on the corner at all. And I

637
00:39:45,040 --> 00:39:49,480
Speaker 1: understand maybe they're trying to do this outreach of familiarity

638
00:39:49,480 --> 00:39:55,319
Speaker 1: of under certain circumstances. But I thought that great art

639
00:39:55,360 --> 00:39:59,520
Speaker 1: and great literature was something that all people. It's it's

640
00:39:59,680 --> 00:40:01,800
Speaker 1: our all of our inheritance, right, It's something we should

641
00:40:01,800 --> 00:40:04,359
Speaker 1: all agree on, and what they teach in schools increasingly

642
00:40:04,400 --> 00:40:11,239
Speaker 1: seems more overtly like political indoctrinations. That's what I hear.

643
00:40:11,400 --> 00:40:13,560
Speaker 1: And everyone that I know who teaches at a private

644
00:40:13,560 --> 00:40:15,800
Speaker 1: school leaven in New York, and there's some very fancy

645
00:40:15,800 --> 00:40:18,080
Speaker 1: private schools here, they will say the schools have just

646
00:40:18,160 --> 00:40:22,600
Speaker 1: become the administrations are very liberal, because what you have,

647
00:40:22,800 --> 00:40:25,319
Speaker 1: even in the private school system now are all these

648
00:40:25,440 --> 00:40:30,560
Speaker 1: ultra rich Democrats who send their kids to these schools

649
00:40:30,640 --> 00:40:37,319
Speaker 1: that are very homogeneous racially, and they send their kids

650
00:40:37,320 --> 00:40:39,600
Speaker 1: to these schools, but they want at least the administration

651
00:40:39,719 --> 00:40:45,560
Speaker 1: to reflect the most progressive approaches because then they feel like,

652
00:40:45,640 --> 00:40:49,000
Speaker 1: you know, oh well, yes, we send little Timothy to

653
00:40:49,040 --> 00:40:52,160
Speaker 1: our fifty thousand dollars a year first grade. Which that's

654
00:40:52,160 --> 00:40:53,799
Speaker 1: a real thing that exists in New York for those

655
00:40:53,800 --> 00:40:56,560
Speaker 1: of you who are wondering, it's plenty of schools fifty

656
00:40:56,560 --> 00:41:03,320
Speaker 1: grand for grammar school year. Yes, we sent little Timothy

657
00:41:03,360 --> 00:41:06,319
Speaker 1: to that school. But at least the headmaster put out

658
00:41:06,360 --> 00:41:10,319
Speaker 1: a strong statement in favor of black lives matter. Oh well,

659
00:41:10,320 --> 00:41:14,279
Speaker 1: then in that case, everything's fine. In that case, you know,

660
00:41:14,400 --> 00:41:16,879
Speaker 1: come on, you've done your part for social justice. You're good,

661
00:41:17,560 --> 00:41:19,640
Speaker 1: you know, give yourself a palament back when you take

662
00:41:19,680 --> 00:41:23,160
Speaker 1: a helicopter out to your beachfront mansion in the Hamptons.

663
00:41:23,200 --> 00:41:30,440
Speaker 1: That's very, very nice. Pelosi is California. Of course, Pelosi

664
00:41:30,640 --> 00:41:34,200
Speaker 1: weighs in on this as well, and she wants to

665
00:41:34,239 --> 00:41:37,960
Speaker 1: help the teachers unions hold schools and the education of

666
00:41:37,960 --> 00:41:41,000
Speaker 1: these children hostage to whatever the demands the Democratic Party

667
00:41:41,160 --> 00:41:45,879
Speaker 1: are Play clip six. So all of these things are

668
00:41:45,960 --> 00:41:49,600
Speaker 1: related to the safety of our children going back. Is

669
00:41:49,640 --> 00:41:53,440
Speaker 1: it hybrid, is it virtual? Is it actual? Well, let's

670
00:41:53,760 --> 00:41:57,640
Speaker 1: get given it our best shot. Putting our children first,

671
00:41:58,040 --> 00:42:01,120
Speaker 1: we know what we need to do. The Republicans have

672
00:42:01,239 --> 00:42:05,759
Speaker 1: resisted the Hero's Act and impartially because they don't want

673
00:42:05,760 --> 00:42:08,640
Speaker 1: to support the state and local government, which is essential

674
00:42:09,080 --> 00:42:11,760
Speaker 1: to the safety of our children going back to school

675
00:42:11,840 --> 00:42:16,200
Speaker 1: as well. The resources are there, but to make a decision.

676
00:42:17,520 --> 00:42:20,759
Speaker 1: I mean, Pelosi is so shameless that I almost I'm

677
00:42:20,800 --> 00:42:25,719
Speaker 1: almost in awe of her shamelessness. Sometimes here's someone who

678
00:42:25,719 --> 00:42:30,120
Speaker 1: has been nothing but unhelpful at every stage, who delayed

679
00:42:31,080 --> 00:42:36,000
Speaker 1: you recall twice votes to get money to people who

680
00:42:36,040 --> 00:42:39,000
Speaker 1: no longer had jobs, no longer had businesses to operate

681
00:42:39,320 --> 00:42:43,040
Speaker 1: because of government mandate. That's not the free market. That's

682
00:42:43,040 --> 00:42:46,239
Speaker 1: the government's fault. That's the government's decision right to shut

683
00:42:46,239 --> 00:42:48,440
Speaker 1: down your business to mean that make it so that

684
00:42:48,480 --> 00:42:52,240
Speaker 1: you don't no longer have a job. And now Pelosi

685
00:42:52,280 --> 00:42:55,680
Speaker 1: is trying to leverage this for the maximum. Look, there's

686
00:42:56,320 --> 00:43:00,480
Speaker 1: a very a very clear process at work here. They're

687
00:43:01,120 --> 00:43:06,040
Speaker 1: using the school issue as really a proxy for shutdown,

688
00:43:06,960 --> 00:43:09,800
Speaker 1: for the feeling at least of the country in shutdown

689
00:43:09,880 --> 00:43:13,280
Speaker 1: going into the election season, and if they get schools

690
00:43:13,280 --> 00:43:16,640
Speaker 1: shut down, they feel like it's gonna be very hard.

691
00:43:16,719 --> 00:43:19,440
Speaker 1: It's gonna be very hard for Trump to win, because

692
00:43:19,440 --> 00:43:21,160
Speaker 1: how can you tell people you're better off now than

693
00:43:21,160 --> 00:43:22,799
Speaker 1: you were four years ago when your kids can't even

694
00:43:22,840 --> 00:43:26,880
Speaker 1: be in school. That's it. That's that's really the game

695
00:43:26,920 --> 00:43:31,480
Speaker 1: that is being played. It's very damaging, it's ruthless, and

696
00:43:33,280 --> 00:43:35,360
Speaker 1: it's a it's a shame that the politics of this

697
00:43:35,400 --> 00:43:40,439
Speaker 1: have gotten so ugly. But that's where this is. You're

698
00:43:40,520 --> 00:43:43,160
Speaker 1: in the freedom hunt. This is the Buck Sex and

699
00:43:43,239 --> 00:43:52,400
Speaker 1: Show podcast. If you think that Democrats being wrong is

700
00:43:52,440 --> 00:43:57,439
Speaker 1: ever an impediment to their power grabs, If you think

701
00:43:57,480 --> 00:44:02,560
Speaker 1: that democrats making RMIs errors of judgment based on the

702
00:44:02,640 --> 00:44:08,799
Speaker 1: results would at least result in some accountability. Unfortunately, you'd

703
00:44:08,800 --> 00:44:13,880
Speaker 1: be wrong, especially in states that have become political monocultures

704
00:44:13,920 --> 00:44:17,200
Speaker 1: like New York, where I am currently doing this show.

705
00:44:17,239 --> 00:44:18,719
Speaker 1: Of course, I'm doing it for many of you all

706
00:44:18,719 --> 00:44:26,760
Speaker 1: across the country. Governor Cuomo. Governor Cuomo, who is one

707
00:44:27,000 --> 00:44:31,719
Speaker 1: of the most shameless, ruthless politicians I've ever seen in

708
00:44:31,760 --> 00:44:37,560
Speaker 1: my life. He likes to do the press conference where

709
00:44:37,640 --> 00:44:43,000
Speaker 1: he has this kind of rhythm. Okay, next slide, New York,

710
00:44:43,160 --> 00:44:47,160
Speaker 1: give yourself a pat on the back because we did

711
00:44:47,200 --> 00:44:48,879
Speaker 1: such a good job. We don't even buy a good job.

712
00:44:49,000 --> 00:44:52,560
Speaker 1: A good job is whatever I say it is, and

713
00:44:52,680 --> 00:44:57,080
Speaker 1: so stop asking questions. But he put out his own

714
00:44:59,160 --> 00:45:05,760
Speaker 1: state authorities put out a report on the nursing home,

715
00:45:06,600 --> 00:45:10,680
Speaker 1: really the nursing home massacre that Cuomo is as a

716
00:45:10,760 --> 00:45:16,440
Speaker 1: matter of direct policy and decision making responsible for. He

717
00:45:16,520 --> 00:45:21,080
Speaker 1: put out this report that exonerated him. You know, just

718
00:45:21,520 --> 00:45:25,040
Speaker 1: a nurse totally an os Cuomo's fault, federal government's fault

719
00:45:25,080 --> 00:45:28,520
Speaker 1: of anything. This has become that this is the escape

720
00:45:28,560 --> 00:45:32,520
Speaker 1: hatch for every stupid Democrat decision that has been made

721
00:45:32,920 --> 00:45:36,200
Speaker 1: during the COVID pandemic. It's blamed the federal government. Blame Trump.

722
00:45:36,400 --> 00:45:40,920
Speaker 1: That's what they really mean, Blame Trump. And when when

723
00:45:41,000 --> 00:45:44,720
Speaker 1: you have thousands of nursing home deaths. And in March

724
00:45:44,840 --> 00:45:50,319
Speaker 1: twenty fifth order that said that that coronavirus patients coming

725
00:45:50,320 --> 00:45:53,239
Speaker 1: out of hospitals from nursing homes have to go back

726
00:45:53,239 --> 00:45:57,920
Speaker 1: into nursing homes. And this was because of the greatly exaggerated,

727
00:45:57,920 --> 00:45:59,360
Speaker 1: as we now know, fear that they were going to

728
00:45:59,440 --> 00:46:01,680
Speaker 1: run out of spittal bed, which was never even close.

729
00:46:03,400 --> 00:46:07,919
Speaker 1: And Cuomo puts out this report that says, quote, eighty

730
00:46:07,920 --> 00:46:10,879
Speaker 1: percent of three nursing homes in the state that took

731
00:46:10,880 --> 00:46:16,560
Speaker 1: coronavirus patients already had patients before Cuomo issued his order. Okay,

732
00:46:18,000 --> 00:46:22,840
Speaker 1: what about the other twenty percent? Anyone want to guess

733
00:46:22,840 --> 00:46:28,400
Speaker 1: what happened there? What could be more straightforward? Coronavirus is

734
00:46:28,480 --> 00:46:34,880
Speaker 1: particularly lethal, particularly dangerous to elderly people. Period. All the

735
00:46:35,000 --> 00:46:39,680
Speaker 1: data in every country, in every circumstance suggests that you

736
00:46:39,760 --> 00:46:42,000
Speaker 1: add a layer of danger on top of that for

737
00:46:42,040 --> 00:46:48,799
Speaker 1: those who have diabetes, heart conditions, breathing issues, comorbidities, obesity.

738
00:46:51,200 --> 00:46:55,600
Speaker 1: We know that's a that's just established fact. And how

739
00:46:55,640 --> 00:46:58,680
Speaker 1: could it be more obvious that there was a mistake

740
00:46:58,719 --> 00:47:02,640
Speaker 1: made here than the Cuomo sent people who are already

741
00:47:03,120 --> 00:47:06,640
Speaker 1: at high risk from the disease themselves, who likely had it,

742
00:47:07,840 --> 00:47:11,080
Speaker 1: and sent them back into nursing homes where they were

743
00:47:11,600 --> 00:47:17,160
Speaker 1: almost guaranteed to spread it to other varying at risk individuals.

744
00:47:17,160 --> 00:47:20,480
Speaker 1: And that's why, you know, I just want I just

745
00:47:20,560 --> 00:47:23,120
Speaker 1: want to hit the roof. I mean, I just lose

746
00:47:23,200 --> 00:47:26,160
Speaker 1: my mind when I'm seeing all this. Look at what

747
00:47:26,200 --> 00:47:34,040
Speaker 1: a good job Cuomo did versus the stats. Cuomo did

748
00:47:34,080 --> 00:47:36,920
Speaker 1: a terrible job. In New York, there's this former Obama

749
00:47:36,960 --> 00:47:41,520
Speaker 1: administration health you know, a health expert moron. I'm forgetting

750
00:47:41,520 --> 00:47:44,239
Speaker 1: the guy's name right now, but he's gone on a

751
00:47:44,280 --> 00:47:46,960
Speaker 1: few terrors on Twitter where you're saying New York shows

752
00:47:47,000 --> 00:47:51,800
Speaker 1: how it's done. New York lost thirty five thousand people dead,

753
00:47:53,560 --> 00:47:56,960
Speaker 1: California has lost about six thousand, Texas has lost you know,

754
00:47:57,040 --> 00:48:00,640
Speaker 1: three to four thousand, Florida something along those lines, about thousand.

755
00:48:01,520 --> 00:48:07,760
Speaker 1: New York lost thirty five thousand people, and quomost taking

756
00:48:08,040 --> 00:48:13,760
Speaker 1: a victory lap. I think about this and the media

757
00:48:13,880 --> 00:48:15,640
Speaker 1: is like, yeah, that's right, I Quota did a good job.

758
00:48:17,680 --> 00:48:23,080
Speaker 1: Gavin Newsom has been a tyrant in California, and guess what,

759
00:48:23,320 --> 00:48:28,160
Speaker 1: now they're back into you know, a moderate lockdown phase

760
00:48:29,360 --> 00:48:31,959
Speaker 1: even though they've had all we made it, probably because

761
00:48:31,960 --> 00:48:34,600
Speaker 1: of the protest right, but no one wants to talk

762
00:48:34,600 --> 00:48:38,799
Speaker 1: about that. We have seen, particularly younger people have been

763
00:48:38,960 --> 00:48:40,880
Speaker 1: where the spread of this disease is. I know, younger

764
00:48:40,920 --> 00:48:43,920
Speaker 1: people also are more likely to congregate in bars and

765
00:48:44,480 --> 00:48:46,600
Speaker 1: you know, play flip cup and do all these things.

766
00:48:47,440 --> 00:48:49,279
Speaker 1: But I was never very good at flip cups. I'm

767
00:48:49,280 --> 00:48:51,200
Speaker 1: a little get a little bitter about that. Or what's

768
00:48:51,200 --> 00:48:58,560
Speaker 1: the other one, producer, Mark, what's the game? The beer pong? Yeah? Yeah,

769
00:48:58,600 --> 00:49:02,279
Speaker 1: beer pong? Thank you, thank you. We actually called it

770
00:49:02,400 --> 00:49:04,640
Speaker 1: something else in my college. But it's a weird name,

771
00:49:04,719 --> 00:49:06,120
Speaker 1: and no, I feel like no one ever used that

772
00:49:06,160 --> 00:49:10,160
Speaker 1: anymore anyway. Yeah, people are young people are more likely

773
00:49:10,200 --> 00:49:12,560
Speaker 1: to be in close quarters in those situations and possibly

774
00:49:12,600 --> 00:49:15,920
Speaker 1: give each other COVID, but they're in really close quarters.

775
00:49:15,960 --> 00:49:18,600
Speaker 1: I mean there's a photo of a protest in California

776
00:49:18,680 --> 00:49:22,719
Speaker 1: with just thousands and thousands and thousands of people in

777
00:49:23,080 --> 00:49:28,680
Speaker 1: such close proximity, just jammed in like sardines, and Newsom's like, yeah,

778
00:49:28,680 --> 00:49:31,040
Speaker 1: this is great, that's great. We were really doing a

779
00:49:31,040 --> 00:49:36,280
Speaker 1: great job here in California. These people are terrible. Producer.

780
00:49:36,360 --> 00:49:39,240
Speaker 1: Nick says Beyrout. Yeah, they used to call it Beyrout

781
00:49:39,320 --> 00:49:43,960
Speaker 1: in college, which I don't know that that's what they

782
00:49:44,040 --> 00:49:46,080
Speaker 1: used to call beer pong, And I mean, I think

783
00:49:46,120 --> 00:49:48,879
Speaker 1: it's because Beyrout had a long civil war and people were,

784
00:49:48,880 --> 00:49:50,839
Speaker 1: you know, a lot of artillery shells. Maybe I don't know,

785
00:49:51,320 --> 00:49:54,719
Speaker 1: but it was called by route. I think you there's

786
00:49:54,760 --> 00:49:57,400
Speaker 1: that too. Yeah, how many kids today even remember the

787
00:49:58,719 --> 00:50:01,080
Speaker 1: lett Any civil war would stretch really from I think

788
00:50:01,120 --> 00:50:04,080
Speaker 1: about nineteen seventy five to nineteen ninety or so, fifteen

789
00:50:04,160 --> 00:50:08,160
Speaker 1: year long civil war. It was a rough time anyway.

790
00:50:09,440 --> 00:50:12,280
Speaker 1: Governor Cuomo has put out this report and it's just absurd.

791
00:50:13,520 --> 00:50:16,640
Speaker 1: This report is absurd. There is a theory out there.

792
00:50:16,800 --> 00:50:18,960
Speaker 1: I'm just gonna say this, There is a theory out

793
00:50:19,040 --> 00:50:23,040
Speaker 1: there that it's not just because they keep on doing

794
00:50:23,080 --> 00:50:27,360
Speaker 1: these serology tests looking for antibodies, but there's also T

795
00:50:27,760 --> 00:50:33,200
Speaker 1: cell immunity to infection, which means that your T cells

796
00:50:33,239 --> 00:50:36,600
Speaker 1: are capable of very quickly responding to an infection so

797
00:50:36,640 --> 00:50:39,080
Speaker 1: it does not become a serious infection take hold in

798
00:50:39,160 --> 00:50:41,279
Speaker 1: you and you have all the symptoms and so on

799
00:50:41,280 --> 00:50:45,319
Speaker 1: and so forth of the worst symptoms at least, and

800
00:50:45,400 --> 00:50:47,040
Speaker 1: there's a theory out there that there may have been

801
00:50:47,120 --> 00:50:49,319
Speaker 1: much more broad exposure that also, let I'm not this

802
00:50:49,360 --> 00:50:51,839
Speaker 1: has not proven. This is a theory that there may

803
00:50:51,880 --> 00:50:56,640
Speaker 1: have been broader exposure. And so New York, for example,

804
00:50:56,640 --> 00:50:59,200
Speaker 1: where I'm telling you this disease, when it was out there,

805
00:50:59,360 --> 00:51:01,080
Speaker 1: it was all I mean, it was spreading all over

806
00:51:01,120 --> 00:51:03,640
Speaker 1: the place. Right. We all know that I was riding

807
00:51:03,680 --> 00:51:07,360
Speaker 1: the subway four times a day when this virus was

808
00:51:07,520 --> 00:51:11,600
Speaker 1: at its absolute, unrestrained maximum, just people coughing on each

809
00:51:11,600 --> 00:51:14,359
Speaker 1: other everywhere, and we're told, don't wear masks, don't No

810
00:51:14,360 --> 00:51:17,120
Speaker 1: one even heard of social distancing at that point. So

811
00:51:17,160 --> 00:51:18,759
Speaker 1: there are a lot of people who were exposed to

812
00:51:18,800 --> 00:51:21,000
Speaker 1: this who didn't get it or didn't really get symptoms.

813
00:51:21,880 --> 00:51:25,560
Speaker 1: The prology testing that's done right now looks for the

814
00:51:25,880 --> 00:51:28,800
Speaker 1: looks for antibodies, but t sell immunity is not something

815
00:51:28,800 --> 00:51:31,440
Speaker 1: that it would it would catch. And this all goes

816
00:51:31,520 --> 00:51:37,120
Speaker 1: to a theory that I think is likely. I give

817
00:51:37,200 --> 00:51:39,719
Speaker 1: credibility or credence to this theory that is in some

818
00:51:39,800 --> 00:51:42,240
Speaker 1: corners of the medical community. Again, this is not a fact,

819
00:51:42,280 --> 00:51:46,120
Speaker 1: this is a theory, but that the virus effectively spread

820
00:51:46,840 --> 00:51:50,560
Speaker 1: hit and now you have a population that's much less

821
00:51:50,600 --> 00:51:55,520
Speaker 1: susceptible to it because it effectively burned through New York.

822
00:51:56,400 --> 00:51:58,480
Speaker 1: You know, it's like a forest fire. It's already burned through,

823
00:51:58,480 --> 00:52:00,640
Speaker 1: it's burned down the trees and what's left. What you know,

824
00:52:00,680 --> 00:52:03,920
Speaker 1: then the regrowth is happening. And that hadn't happened in

825
00:52:03,960 --> 00:52:06,400
Speaker 1: other parts of the country. It hasn't happened yet, not

826
00:52:06,480 --> 00:52:10,239
Speaker 1: the same way. So I know there's tremendous concern about

827
00:52:10,239 --> 00:52:13,680
Speaker 1: the second wave here. And now you've got CUOMO with

828
00:52:14,560 --> 00:52:21,080
Speaker 1: twenty two twenty two states on a list that are

829
00:52:21,080 --> 00:52:25,680
Speaker 1: required to do additional quarantine if they come back, required

830
00:52:25,719 --> 00:52:28,839
Speaker 1: to do quarantine for two weeks, if they come back

831
00:52:28,840 --> 00:52:30,840
Speaker 1: to New York City from traveling in those states, and

832
00:52:30,840 --> 00:52:33,760
Speaker 1: they're going to make you fill out a form and

833
00:52:33,920 --> 00:52:36,400
Speaker 1: they're going to find you up to two thousand dollars

834
00:52:36,400 --> 00:52:40,759
Speaker 1: for non compliance. Well, where is the authority on this? Now?

835
00:52:40,760 --> 00:52:43,880
Speaker 1: How is this? Where's the DOJ? Why aren't they suing?

836
00:52:44,080 --> 00:52:47,040
Speaker 1: How is this not a violation of interstate Gammer's clause?

837
00:52:47,600 --> 00:52:49,560
Speaker 1: You're going to lock people in their homes for two

838
00:52:49,600 --> 00:52:55,680
Speaker 1: weeks just because they've visited a state where the governor

839
00:52:55,680 --> 00:53:00,760
Speaker 1: of New York thinks there are too many COVID cases. Remember,

840
00:53:00,840 --> 00:53:04,600
Speaker 1: they've they've expanded this not just to people who have

841
00:53:04,800 --> 00:53:10,239
Speaker 1: the disease that's quarantine, but people that go to places

842
00:53:10,440 --> 00:53:13,600
Speaker 1: where there are people with the disease and they're going

843
00:53:13,640 --> 00:53:15,960
Speaker 1: to come back and now'll be in or two week quarantine.

844
00:53:17,920 --> 00:53:21,160
Speaker 1: We can't keep living like this, folks. I think that's

845
00:53:22,000 --> 00:53:23,839
Speaker 1: We're all just going to have to deal with this.

846
00:53:23,880 --> 00:53:25,600
Speaker 1: You know, I've told you this all along. I may

847
00:53:25,680 --> 00:53:27,200
Speaker 1: come on to the show one day and say, guys,

848
00:53:27,520 --> 00:53:29,399
Speaker 1: I feel I'm really sick. I gotta take some days

849
00:53:29,400 --> 00:53:32,399
Speaker 1: off here because I've caught COVID nineteen. I understand that.

850
00:53:32,800 --> 00:53:35,400
Speaker 1: I know that that could happen, and that will change

851
00:53:35,719 --> 00:53:38,960
Speaker 1: nothing that I have said to you. We all take risks.

852
00:53:39,000 --> 00:53:42,000
Speaker 1: We are all living in an imperfect world where there

853
00:53:42,120 --> 00:53:45,759
Speaker 1: is no guarantee of safety, certainly not from the state,

854
00:53:45,840 --> 00:53:49,359
Speaker 1: but there's no guarantee of safety period. And we keep

855
00:53:49,440 --> 00:53:53,000
Speaker 1: on getting told things by the people in charge who

856
00:53:53,000 --> 00:53:56,000
Speaker 1: are seizing more and more authority for themselves that are

857
00:53:56,040 --> 00:54:02,120
Speaker 1: just fundamentally nonsensical and not true week. We cannot beat

858
00:54:02,160 --> 00:54:07,600
Speaker 1: this virus by having these arbitrary government you know, lockdown, shutdown,

859
00:54:07,640 --> 00:54:12,000
Speaker 1: mass distance, lockdown, shutdown mass distance. Through cycles and cycles

860
00:54:12,040 --> 00:54:16,640
Speaker 1: of this, it isn't working. It has not worked. It

861
00:54:16,680 --> 00:54:19,560
Speaker 1: did not work in California. Why is it going to

862
00:54:19,600 --> 00:54:22,800
Speaker 1: work now in all these other places? Thanks for listening

863
00:54:22,800 --> 00:54:26,239
Speaker 1: to the buses and show podcasts. Remember to subscribe on

864
00:54:26,320 --> 00:54:30,280
Speaker 1: Apple podcasts, the iHeartRadio app, or wherever you get your podcast.

865
00:54:30,480 --> 00:54:32,920
Speaker 1: Let me say what honor it is for me to

866
00:54:33,000 --> 00:54:37,120
Speaker 1: serve under a president who is such a strong supporter

867
00:54:37,560 --> 00:54:42,360
Speaker 1: of law enforcement. I've said repeatedly that, to my mind,

868
00:54:42,400 --> 00:54:46,879
Speaker 1: there is no more noble profession in our country than

869
00:54:46,920 --> 00:54:51,120
Speaker 1: serving as a law enforcement officer. The police put their

870
00:54:51,160 --> 00:54:55,080
Speaker 1: lives and well being on the line every day for us,

871
00:54:55,080 --> 00:54:58,080
Speaker 1: and their jobs have never been more difficult than it

872
00:54:58,160 --> 00:55:03,000
Speaker 1: is today. I believe it's a important to understand that,

873
00:55:03,719 --> 00:55:07,200
Speaker 1: just like any other institution, there's always room for improvement,

874
00:55:08,160 --> 00:55:12,239
Speaker 1: and over the past several decades, there's unquestionably been a

875
00:55:12,320 --> 00:55:17,759
Speaker 1: lot of progress and reforms in policing that's improved policing

876
00:55:18,600 --> 00:55:21,959
Speaker 1: and life for the officers, their families, and their communities.

877
00:55:22,520 --> 00:55:26,280
Speaker 1: We have the most professional police in the world. Thank

878
00:55:26,440 --> 00:55:32,520
Speaker 1: goodness that we have an administration with people like Bill

879
00:55:32,600 --> 00:55:34,600
Speaker 1: Barr who will say what needs to be said at

880
00:55:34,600 --> 00:55:39,040
Speaker 1: this point in time about law enforcement. The Democrat Party

881
00:55:39,160 --> 00:55:41,759
Speaker 1: has not just turned their backs on law enforcement. They

882
00:55:41,800 --> 00:55:48,400
Speaker 1: are They are throwing law enforcement officers to the violent,

883
00:55:48,640 --> 00:55:53,200
Speaker 1: vengeful mob and making it less safe for all of

884
00:55:53,280 --> 00:55:59,640
Speaker 1: us on the streets and doing tremendous damage to the

885
00:55:59,719 --> 00:56:03,800
Speaker 1: rule of law. To the sense that we have certain

886
00:56:03,880 --> 00:56:06,440
Speaker 1: parts of our day to day lives in this country

887
00:56:06,480 --> 00:56:09,200
Speaker 1: that we all agree on, right, we all want everyone.

888
00:56:09,239 --> 00:56:12,799
Speaker 1: I want everyone. I want every person in America to

889
00:56:12,920 --> 00:56:16,600
Speaker 1: be safe going home at night, walking to work in

890
00:56:16,640 --> 00:56:20,399
Speaker 1: the morning, you know, driving to their job. I want

891
00:56:20,440 --> 00:56:24,080
Speaker 1: every person to have the full protection of law enforcement,

892
00:56:24,120 --> 00:56:26,239
Speaker 1: to have full due process as well. If they're on

893
00:56:26,239 --> 00:56:29,319
Speaker 1: the wrong side of law enforcement, that's not These are

894
00:56:29,360 --> 00:56:33,960
Speaker 1: not partisan agenda issues, right. I don't want anyone to

895
00:56:34,120 --> 00:56:36,360
Speaker 1: be the victim of a crime, and I want the

896
00:56:36,440 --> 00:56:44,040
Speaker 1: maximum amount of police protection feasible and reasonable to have

897
00:56:44,160 --> 00:56:48,760
Speaker 1: a bare minimum of violent crime in our society for everyone.

898
00:56:49,320 --> 00:56:54,400
Speaker 1: I don't want anyone getting attacked by whether it's one

899
00:56:54,440 --> 00:56:59,440
Speaker 1: individual or a violent mob on the street. Democrats don't

900
00:56:59,440 --> 00:57:02,120
Speaker 1: seem to subscribe to this theory anymore. You know, we're

901
00:57:02,120 --> 00:57:05,120
Speaker 1: a bad country that's very racist, that needs to be punished.

902
00:57:05,880 --> 00:57:09,040
Speaker 1: We need more violence on the streets. We need our

903
00:57:09,080 --> 00:57:16,480
Speaker 1: cops to be defamed, to be demoralized. That is their approach.

904
00:57:16,560 --> 00:57:22,760
Speaker 1: That's what's happening in America today. And I'm happy to

905
00:57:22,800 --> 00:57:28,400
Speaker 1: hear that the Attorney General will say these words, but

906
00:57:28,480 --> 00:57:30,720
Speaker 1: we need a lot more. We need a lot more

907
00:57:30,760 --> 00:57:33,439
Speaker 1: than just words. You have Deblasio for examples out there,

908
00:57:34,240 --> 00:57:39,800
Speaker 1: saying things like this play clip five. We obviously took

909
00:57:39,840 --> 00:57:43,160
Speaker 1: money out of the NYPD budget, put it into youth programs,

910
00:57:43,200 --> 00:57:46,040
Speaker 1: put it into social services, put it into recreation centers

911
00:57:46,080 --> 00:57:50,080
Speaker 1: for young people. That's really the right direction. I'm glad

912
00:57:50,080 --> 00:57:52,680
Speaker 1: we did that. But the fact that we're going to

913
00:57:52,760 --> 00:57:55,240
Speaker 1: have to fight crime in many ways is also clear.

914
00:57:55,960 --> 00:57:58,479
Speaker 1: We need the good work of the men and women

915
00:57:58,480 --> 00:58:02,320
Speaker 1: in NYPD the streets of our city. We need communities

916
00:58:02,320 --> 00:58:07,080
Speaker 1: to come forward, particularly through civic leadership, clergy to your

917
00:58:07,200 --> 00:58:09,880
Speaker 1: violence movement, do all the things that they can do,

918
00:58:09,960 --> 00:58:12,080
Speaker 1: and they can do things that police can't do. And

919
00:58:12,360 --> 00:58:15,280
Speaker 1: the NYPD is quite clear about that. Community voices, community

920
00:58:15,280 --> 00:58:18,680
Speaker 1: members can achieve some things differently, and we need both

921
00:58:18,720 --> 00:58:22,240
Speaker 1: pieces to happen. So we're going to devote ourselves to

922
00:58:22,360 --> 00:58:25,120
Speaker 1: all of it. We are going to fight this back.

923
00:58:25,640 --> 00:58:29,680
Speaker 1: I've seen us fight back from much, much tougher circumstances

924
00:58:29,680 --> 00:58:31,720
Speaker 1: in terms of crime and violence. We're going to fight

925
00:58:31,800 --> 00:58:34,560
Speaker 1: this back, but it's going to take everyone. Oh wait

926
00:58:34,600 --> 00:58:37,600
Speaker 1: a second, you mean that moving funds from the police

927
00:58:37,800 --> 00:58:40,160
Speaker 1: and making sure the cops don't feel backed up when

928
00:58:40,160 --> 00:58:42,640
Speaker 1: they have to do their jobs and deal with violent thugs.

929
00:58:42,640 --> 00:58:44,520
Speaker 1: Do you mean that that's resulted in more crime? Who

930
00:58:44,520 --> 00:58:49,000
Speaker 1: could have guessed? Oh, everyone guessed, everyone knew, But now

931
00:58:49,040 --> 00:58:51,280
Speaker 1: it's oh, no, I guess we have a problem. We

932
00:58:51,320 --> 00:58:53,360
Speaker 1: need to have a whole of community approach to do

933
00:58:53,440 --> 00:58:57,800
Speaker 1: with this Deblasia never talks about how we need to

934
00:58:57,840 --> 00:59:04,280
Speaker 1: talk to clergy or just community leaders. About parental involvement

935
00:59:04,480 --> 00:59:09,720
Speaker 1: in school activities, meaning parents drop the kids off, pick

936
00:59:09,760 --> 00:59:13,080
Speaker 1: them up from school, if they can make sure their

937
00:59:13,080 --> 00:59:15,320
Speaker 1: homework is getting done, make sure that when they get

938
00:59:15,360 --> 00:59:18,160
Speaker 1: home they're asked about their school day. Make sure that

939
00:59:18,240 --> 00:59:21,760
Speaker 1: there is a focus put on learning and that there

940
00:59:21,840 --> 00:59:25,560
Speaker 1: is an expectation that children will do their homework, will

941
00:59:25,640 --> 00:59:29,600
Speaker 1: be responsible, will be respectful to teachers, will be quiet

942
00:59:29,840 --> 00:59:34,920
Speaker 1: when quiet is requested by teachers. That intact family situation,

943
00:59:35,880 --> 00:59:37,960
Speaker 1: intact families. I mean, if you look at the data

944
00:59:38,000 --> 00:59:41,720
Speaker 1: on intact families, and hat tip to Matt Walsh over

945
00:59:41,760 --> 00:59:44,400
Speaker 1: the Daily Wire who pulled all this data together recently,

946
00:59:44,400 --> 00:59:48,480
Speaker 1: and I mean, I've known these, I've known the analysis here,

947
00:59:48,600 --> 00:59:50,520
Speaker 1: but Matt actually pulled some facts and figures I was

948
00:59:50,520 --> 00:59:56,200
Speaker 1: looking through last night. If you just look at families

949
00:59:56,200 --> 01:00:03,240
Speaker 1: that are intact across America, the problem of poverty and

950
01:00:04,280 --> 01:00:07,960
Speaker 1: problems of poverty and domestic violence and dropping out of

951
01:00:08,000 --> 01:00:16,360
Speaker 1: school and criminality all plummet across all racial categories. So

952
01:00:16,480 --> 01:00:21,160
Speaker 1: if you really want children, whether it's White children, Black children,

953
01:00:21,160 --> 01:00:25,360
Speaker 1: Hispanic children, Asian children, if you really want to promote

954
01:00:25,400 --> 01:00:28,920
Speaker 1: something as a policy and as a goal that is

955
01:00:28,960 --> 01:00:34,400
Speaker 1: the single most likely thing to improve their life outcomes,

956
01:00:35,920 --> 01:00:40,560
Speaker 1: it would be the family. It would be promotion of

957
01:00:40,800 --> 01:00:46,600
Speaker 1: getting married, staying married, and waiting until marriage to have children.

958
01:00:47,560 --> 01:00:51,040
Speaker 1: This is the I was gonna say, it's like the

959
01:00:51,080 --> 01:00:53,360
Speaker 1: secret pathway, but it's not secret at all. It's obvious,

960
01:00:53,480 --> 01:00:57,600
Speaker 1: it's known. But Democrats won't touch it. How can they?

961
01:00:57,640 --> 01:01:00,680
Speaker 1: Black lives matters out there arguing for the elimination of

962
01:01:00,680 --> 01:01:03,880
Speaker 1: the nuclear openly arguing for the elimination of the nuclear family,

963
01:01:04,680 --> 01:01:09,400
Speaker 1: the exact wrong thing for the Black community. For all communities,

964
01:01:09,880 --> 01:01:18,640
Speaker 1: all families do matter. Families are important. Families are the

965
01:01:18,680 --> 01:01:21,920
Speaker 1: basis for so much of our sense of how we

966
01:01:21,960 --> 01:01:27,880
Speaker 1: deal with authority and our emotional and psychological and intellectual development. No, no,

967
01:01:27,920 --> 01:01:29,960
Speaker 1: but de Blasio acts like, you know, if we just

968
01:01:30,400 --> 01:01:33,160
Speaker 1: we have a couple of more you know, after school

969
01:01:33,200 --> 01:01:36,600
Speaker 1: programs or something where people can play sports, there won't

970
01:01:36,600 --> 01:01:38,520
Speaker 1: be any more violenced. Look, I'm not opposed to after

971
01:01:38,560 --> 01:01:42,560
Speaker 1: school programs. It's great. I'm not some maniact things that

972
01:01:42,640 --> 01:01:44,920
Speaker 1: you know, we shouldn't have kids have more opportunities to

973
01:01:45,000 --> 01:01:47,480
Speaker 1: play and do fun things. But I'm also not the

974
01:01:47,520 --> 01:01:51,040
Speaker 1: one who was locking down playgrounds while massive protests were happening.

975
01:01:51,360 --> 01:01:56,520
Speaker 1: De Blasio was. But I also would like to see

976
01:01:57,080 --> 01:02:02,040
Speaker 1: better outcomes for all of us. It will be better

977
01:02:02,080 --> 01:02:06,320
Speaker 1: for society and promoting intact families. But you know, there's

978
01:02:06,320 --> 01:02:09,800
Speaker 1: a degree of individual responsibility that goes into that. It's

979
01:02:09,800 --> 01:02:12,720
Speaker 1: not the system that's preventing people from getting married and

980
01:02:12,760 --> 01:02:17,480
Speaker 1: staying married. That's an individual choice that's an individual responsibility.

981
01:02:19,720 --> 01:02:23,400
Speaker 1: And if you look at, for example, immigrants that come

982
01:02:23,480 --> 01:02:29,480
Speaker 1: from communities from countries around the world, including say Nigerian immigrants,

983
01:02:29,640 --> 01:02:33,280
Speaker 1: we're told the system is very, very racist in America. Meanwhile,

984
01:02:33,400 --> 01:02:37,880
Speaker 1: immigrants from Africa, who particularly if talking about immigrants who

985
01:02:38,000 --> 01:02:42,840
Speaker 1: have intact family structure, and immigrants from Africa have basically

986
01:02:42,920 --> 01:02:46,960
Speaker 1: the same percentage, it's within a few percentage points as

987
01:02:48,560 --> 01:02:52,080
Speaker 1: white American native born white Americans do on a per

988
01:02:52,080 --> 01:02:58,840
Speaker 1: capita basis, the household income of those immigrants that come

989
01:02:58,920 --> 01:03:01,880
Speaker 1: from Africa, dominently West Africa, and the analysis that I

990
01:03:01,920 --> 01:03:09,840
Speaker 1: saw is higher than the average white born in America

991
01:03:10,080 --> 01:03:14,320
Speaker 1: pera capita household income. So somehow the system that is

992
01:03:14,320 --> 01:03:17,439
Speaker 1: so racist and that is to blame for everything does

993
01:03:17,480 --> 01:03:23,120
Speaker 1: not prevent immigrants from Africa from coming here. They are black,

994
01:03:23,320 --> 01:03:27,200
Speaker 1: and they do very well, and they have intact family structure,

995
01:03:27,400 --> 01:03:32,120
Speaker 1: and they are success stories, right, And we know about

996
01:03:32,200 --> 01:03:36,760
Speaker 1: Asian family structure and the success stories there. Right, The

997
01:03:36,840 --> 01:03:41,920
Speaker 1: overwhelming number of Asian immigrants to America have intact family

998
01:03:41,960 --> 01:03:46,200
Speaker 1: structure and their children, you know, are you going off

999
01:03:46,240 --> 01:03:49,360
Speaker 1: to fantastic schools? These are all generalizations, but we're talking

1000
01:03:49,360 --> 01:03:51,439
Speaker 1: about numbers and we're talking about numbers, you're talking about

1001
01:03:51,480 --> 01:03:54,520
Speaker 1: the aggregates. If you're going to talk about policy, policy

1002
01:03:54,560 --> 01:03:57,480
Speaker 1: has to be made based upon what's generally true. You

1003
01:03:57,480 --> 01:04:00,360
Speaker 1: can't make policy based on what's always true, because nothing

1004
01:04:00,480 --> 01:04:03,720
Speaker 1: is going to be always true about a public policy matter.

1005
01:04:03,760 --> 01:04:05,880
Speaker 1: There's always going to be exceptions or places where there

1006
01:04:06,400 --> 01:04:10,760
Speaker 1: are a gray area or confusion. But it's just it's

1007
01:04:10,800 --> 01:04:13,760
Speaker 1: so remarkable that we're all focused now on how do

1008
01:04:13,880 --> 01:04:16,160
Speaker 1: we and look they're not even the Democrats aren't even

1009
01:04:16,160 --> 01:04:18,280
Speaker 1: really focused on making these communities better. This is all

1010
01:04:18,360 --> 01:04:20,520
Speaker 1: just window dressing. Now, Oh yeah, we need more money,

1011
01:04:20,600 --> 01:04:23,280
Speaker 1: no more funding, whatever. No, this is about hating the cops,

1012
01:04:23,600 --> 01:04:27,360
Speaker 1: turning out the minority vote for Biden against Trump, and

1013
01:04:27,440 --> 01:04:30,160
Speaker 1: creating the Democrat Party, creating a whole lot of excuses

1014
01:04:30,200 --> 01:04:35,040
Speaker 1: for why Democrat controlled enclaves just can't get it together,

1015
01:04:36,000 --> 01:04:39,280
Speaker 1: can't manage to control crime in places like Chicago or

1016
01:04:39,320 --> 01:04:41,960
Speaker 1: Saint Louis, and now in New York, which couldn't control

1017
01:04:42,000 --> 01:04:44,240
Speaker 1: crime for a long time, got under control but is

1018
01:04:44,240 --> 01:04:49,400
Speaker 1: now losing control. You have a just a whole series

1019
01:04:49,440 --> 01:04:53,160
Speaker 1: of excuses and no willingness to look at what would

1020
01:04:53,160 --> 01:04:57,960
Speaker 1: really make things better. For everyone, encouraging behaviors that would

1021
01:04:58,000 --> 01:05:03,840
Speaker 1: make things better for everyone. You're in the Freedom Hunt.

1022
01:05:04,280 --> 01:05:12,120
Speaker 1: This is the Buck Sexton Show podcast. Princeton University is

1023
01:05:12,120 --> 01:05:17,640
Speaker 1: a very fancy place. It's very fancy. They have eating clubs,

1024
01:05:17,680 --> 01:05:21,480
Speaker 1: which are like fraternities, but in multimillion dollar mansions. Well

1025
01:05:21,520 --> 01:05:25,160
Speaker 1: you're served lunch on porcelain, and then you get to

1026
01:05:25,160 --> 01:05:28,200
Speaker 1: talk about how much Daddy has put in your trust

1027
01:05:28,200 --> 01:05:32,760
Speaker 1: fund this year. Princeton's a very fancy place, no question

1028
01:05:32,800 --> 01:05:37,360
Speaker 1: about it. But Princeton University because it's an elite school now,

1029
01:05:38,240 --> 01:05:39,960
Speaker 1: and I don't even know we should call them elite,

1030
01:05:39,960 --> 01:05:41,600
Speaker 1: because who knows why people who can get into these

1031
01:05:41,640 --> 01:05:46,800
Speaker 1: schools anymore. There's an open letter though, that has been

1032
01:05:46,840 --> 01:05:51,080
Speaker 1: published there. Remember this is I think consider the third

1033
01:05:51,520 --> 01:05:54,480
Speaker 1: the number three Ivy League school after Harvard and Yale.

1034
01:05:55,360 --> 01:05:57,080
Speaker 1: A lot of people would put Stanford ahead of it,

1035
01:05:57,080 --> 01:06:02,760
Speaker 1: but Princeton's still certainly a very international renowned institution. And

1036
01:06:02,880 --> 01:06:05,640
Speaker 1: here is what this. This is a faculty letter signed

1037
01:06:05,640 --> 01:06:09,120
Speaker 1: by I mean one hundred, one hundred and fifty professors.

1038
01:06:09,120 --> 01:06:11,880
Speaker 1: A huge number of professors have signed this thing, and

1039
01:06:12,000 --> 01:06:19,680
Speaker 1: it's on anti blackness as a foundational element to America.

1040
01:06:19,760 --> 01:06:24,520
Speaker 1: In fact, the very first line is, quote anti blackness

1041
01:06:25,240 --> 01:06:33,680
Speaker 1: is foundational to America. Wow, that's the very first line

1042
01:06:33,760 --> 01:06:38,200
Speaker 1: of this letter. And then they get into a discussion

1043
01:06:38,240 --> 01:06:39,720
Speaker 1: of how we deal with this, and the way we

1044
01:06:39,720 --> 01:06:44,800
Speaker 1: deal with this is anti racism. Now, many of us

1045
01:06:44,840 --> 01:06:50,440
Speaker 1: have thought that the the only obligation we have as

1046
01:06:50,480 --> 01:06:53,880
Speaker 1: individuals and as people is to not be racist. Right,

1047
01:06:53,920 --> 01:06:56,440
Speaker 1: just don't be racist, That's okay, and then you're not

1048
01:06:56,480 --> 01:06:59,400
Speaker 1: a racist, and then what's the problem. And racism is

1049
01:07:00,040 --> 01:07:03,640
Speaker 1: treating people or thinking of people as less than or

1050
01:07:03,720 --> 01:07:07,120
Speaker 1: thinking of them differently because of their skin color. Very

1051
01:07:07,120 --> 01:07:11,200
Speaker 1: straightforward definition. Don't do that, You're not being racist. But no,

1052
01:07:11,440 --> 01:07:17,640
Speaker 1: anti racism is the affirmative taking of steps demanded of

1053
01:07:17,800 --> 01:07:22,480
Speaker 1: you by the woke left in order to deal with

1054
01:07:22,560 --> 01:07:25,120
Speaker 1: the As it is said in this letter from Princeton University,

1055
01:07:25,360 --> 01:07:32,480
Speaker 1: anti blackness that is foundational to America. And quote, So

1056
01:07:32,600 --> 01:07:35,960
Speaker 1: anti racism now turns into a whole list of demands.

1057
01:07:36,040 --> 01:07:37,680
Speaker 1: Now there are demands that are coming with all of

1058
01:07:37,720 --> 01:07:40,760
Speaker 1: this too. Right, George Floyd is shot, is not shot?

1059
01:07:40,880 --> 01:07:47,560
Speaker 1: Is killed asphyxiated in Minnesota by a police officer. National movement,

1060
01:07:47,560 --> 01:07:51,320
Speaker 1: and now here we are prince University demanding additional pay

1061
01:07:51,440 --> 01:07:56,520
Speaker 1: and perks for professors of color. Well that's quite a

1062
01:07:56,600 --> 01:07:59,240
Speaker 1: oh no, But this is the way it works, right,

1063
01:07:59,280 --> 01:08:02,360
Speaker 1: This is the way movement was always going to conduct itself.

1064
01:08:04,600 --> 01:08:08,920
Speaker 1: Here's what they write. It plays a role anti blackness

1065
01:08:08,920 --> 01:08:10,640
Speaker 1: and where we live and where we are welcome. It

1066
01:08:10,680 --> 01:08:14,160
Speaker 1: influences the level of health care we receive. It determines

1067
01:08:14,160 --> 01:08:16,160
Speaker 1: a degree of risk we are assumed to pose in

1068
01:08:16,240 --> 01:08:19,720
Speaker 1: context from retail to lending and beyond. It informs the

1069
01:08:19,760 --> 01:08:23,439
Speaker 1: expectations and tactics of law enforcement. Anti black racism has

1070
01:08:23,479 --> 01:08:26,479
Speaker 1: hamstrung our political process. It has rampant even in our

1071
01:08:26,520 --> 01:08:29,479
Speaker 1: most progressive communities, and it plays a powerful role at

1072
01:08:29,479 --> 01:08:34,639
Speaker 1: institutions like Princeton, despite declared values of diversity and inclusion.

1073
01:08:35,479 --> 01:08:38,760
Speaker 1: So anti blackness, according to this open letter, signed by

1074
01:08:38,840 --> 01:08:41,719
Speaker 1: written by professors at Princeton, Signed by professors at Princeton,

1075
01:08:42,120 --> 01:08:52,000
Speaker 1: anti blackness is a constant failing of Princeton University, even

1076
01:08:52,000 --> 01:08:55,080
Speaker 1: though Princeton University thinks of itself as very diverse and

1077
01:08:55,120 --> 01:08:57,200
Speaker 1: progressive and all the rest of it. Right, not enough,

1078
01:08:58,120 --> 01:08:59,920
Speaker 1: So you'd say, well, okay, what are we supposed to do?

1079
01:09:00,040 --> 01:09:02,479
Speaker 1: But let's just assume that let's just accept this premise

1080
01:09:02,520 --> 01:09:05,960
Speaker 1: for a second, that the country is still so racist

1081
01:09:06,000 --> 01:09:07,800
Speaker 1: and we don't talk about this enough. We've talked about

1082
01:09:07,800 --> 01:09:09,559
Speaker 1: it every day, we talked about this all the time. CNN.

1083
01:09:09,880 --> 01:09:12,280
Speaker 1: I've left this out of today's show. I shouldn't have

1084
01:09:12,880 --> 01:09:15,640
Speaker 1: is creating a new I believe it is called a

1085
01:09:15,760 --> 01:09:21,559
Speaker 1: quote race Coverage team end quote to focus on race

1086
01:09:21,840 --> 01:09:25,479
Speaker 1: issues at CNN, specifically in the newsroom. They're going to

1087
01:09:25,560 --> 01:09:29,400
Speaker 1: have a race you know, you talk about your beats

1088
01:09:29,439 --> 01:09:32,960
Speaker 1: in the news in the news world. Race is now

1089
01:09:33,000 --> 01:09:37,160
Speaker 1: going to be a specialization at CNN for journalists. I'm

1090
01:09:37,160 --> 01:09:39,840
Speaker 1: not making this up. This is what Jeff Zucker said yesterday.

1091
01:09:40,800 --> 01:09:43,880
Speaker 1: They came out and talked about this. So, okay, what

1092
01:09:43,960 --> 01:09:45,120
Speaker 1: can we do. How do you get to be an

1093
01:09:45,120 --> 01:09:49,160
Speaker 1: anti racist? Is it enough to just treat people of

1094
01:09:49,240 --> 01:09:55,040
Speaker 1: color as hello, human beings deserving of all the same

1095
01:09:55,439 --> 01:09:59,040
Speaker 1: rights and dignity and decency that you'd give to any

1096
01:09:59,080 --> 01:10:03,080
Speaker 1: and to any person, And to be an advocate for

1097
01:10:03,160 --> 01:10:06,000
Speaker 1: treating everyone equally under the law and make sure that

1098
01:10:06,080 --> 01:10:08,560
Speaker 1: everyone is judged by the content of their character, not

1099
01:10:08,640 --> 01:10:11,120
Speaker 1: the color of their skin. Oh no, no, no, that's

1100
01:10:11,120 --> 01:10:16,200
Speaker 1: not anti racism. Anti racism is quote quote create a

1101
01:10:16,280 --> 01:10:21,320
Speaker 1: center specifically dedicated to anti racism at Princeton University. Reward

1102
01:10:21,400 --> 01:10:24,639
Speaker 1: the invisible work done by faculty of color with course

1103
01:10:24,680 --> 01:10:31,680
Speaker 1: relief and summer salary. That's right. Additional financial perks. Reconsider

1104
01:10:31,720 --> 01:10:35,120
Speaker 1: the use of standardized testing at Princeton University, which research

1105
01:10:35,840 --> 01:10:39,679
Speaker 1: shows to be strongly correlated with the underrepresentation of people

1106
01:10:39,720 --> 01:10:44,200
Speaker 1: of color. Acknowledge on the Princeton homepage that the university

1107
01:10:44,320 --> 01:10:51,120
Speaker 1: is cited on indigenous land. The statements should explicitly acknowledge

1108
01:10:51,160 --> 01:10:55,000
Speaker 1: that Princeton University's land is unseated and quote acknowledge the

1109
01:10:55,120 --> 01:10:58,880
Speaker 1: land of this university is the unseated traditional territory of

1110
01:10:58,960 --> 01:11:07,000
Speaker 1: the nanticoke any Lenapey tribal nation. Oh my god, that's right.

1111
01:11:07,160 --> 01:11:09,760
Speaker 1: Bend the need, do as we say all of our

1112
01:11:10,120 --> 01:11:13,000
Speaker 1: give us money, give us privileges, give us what we want,

1113
01:11:13,240 --> 01:11:16,280
Speaker 1: or else you're racist. That's what it's turned into at Princeton,

1114
01:11:16,960 --> 01:11:20,479
Speaker 1: and it's not the only place. Thanks for listening to

1115
01:11:20,520 --> 01:11:25,000
Speaker 1: the Buses and Show podcast. Remember to subscribe on Apple podcast,

1116
01:11:25,000 --> 01:11:29,439
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. It's

1117
01:11:29,479 --> 01:11:32,400
Speaker 1: harsany time we should make like a little intro form

1118
01:11:32,439 --> 01:11:35,719
Speaker 1: or something. Our buddy David Harsani is with us now.

1119
01:11:35,880 --> 01:11:40,439
Speaker 1: He is a senior writer at National Review, and he's

1120
01:11:40,479 --> 01:11:42,800
Speaker 1: got a piece coming out on what I was talking

1121
01:11:42,800 --> 01:11:47,919
Speaker 1: about earlier in the show about Cuomo's ill deserved undeserved victory.

1122
01:11:48,000 --> 01:11:50,599
Speaker 1: Lap mister Harsan, You're great to have you back, sir.

1123
01:11:51,400 --> 01:11:54,879
Speaker 1: What was the pleasure? Thanks for having me? Ah, So, Cuomo,

1124
01:11:55,520 --> 01:12:00,919
Speaker 1: with thirty five thousand deaths in his state, is create artwork.

1125
01:12:01,720 --> 01:12:03,599
Speaker 1: That's right. This is a real thing, folks, for those

1126
01:12:03,600 --> 01:12:09,440
Speaker 1: who are wondering artwork. You commemorate what a tremendous victory

1127
01:12:10,240 --> 01:12:12,920
Speaker 1: he has had here with all of this. Tell us

1128
01:12:12,960 --> 01:12:14,400
Speaker 1: what you think about all that? I mean, hold on,

1129
01:12:14,439 --> 01:12:17,080
Speaker 1: I actually I'm trying to pull up the name of it.

1130
01:12:17,080 --> 01:12:23,679
Speaker 1: It is the New York Tough poster of success under

1131
01:12:23,840 --> 01:12:26,439
Speaker 1: Cuomo's leadership fighting against COVID nineteen. What do you think,

1132
01:12:26,479 --> 01:12:30,559
Speaker 1: David not a not a fan of it because it's

1133
01:12:31,000 --> 01:12:36,760
Speaker 1: mythical and it's obviously a conservative conservative effort by his

1134
01:12:36,840 --> 01:12:39,000
Speaker 1: allies and himself to make it seem that new that.

1135
01:12:39,200 --> 01:12:41,760
Speaker 1: You know, his policies were successful in New York, which

1136
01:12:42,200 --> 01:12:45,840
Speaker 1: they most certainly were not by any standard. In fact,

1137
01:12:45,920 --> 01:12:48,080
Speaker 1: if you if you compare New York to other countries

1138
01:12:48,080 --> 01:12:50,360
Speaker 1: in the world, it's one of the worst. To compare

1139
01:12:50,400 --> 01:12:55,200
Speaker 1: to any state in America, it's the worst. And when

1140
01:12:55,240 --> 01:12:59,120
Speaker 1: you think about it more deeply, and you know, many

1141
01:12:59,160 --> 01:13:01,840
Speaker 1: people have mentioned this, but Cuomo made perhaps one of

1142
01:13:01,880 --> 01:13:05,959
Speaker 1: the most deadly policy mistakes in the whole coronavirus crisis

1143
01:13:06,000 --> 01:13:10,160
Speaker 1: by sending infected people back to the nursing home. So

1144
01:13:10,760 --> 01:13:16,480
Speaker 1: that whole entire ridiculous pyramid poster he has is insulting

1145
01:13:16,479 --> 01:13:19,760
Speaker 1: to anyone who was paying attention. If it was done right,

1146
01:13:19,840 --> 01:13:21,800
Speaker 1: there would be thirty thousand dead people. At thought him

1147
01:13:21,840 --> 01:13:25,640
Speaker 1: of that pyramid, frankly, you know. And it's just disgusting

1148
01:13:25,720 --> 01:13:28,720
Speaker 1: that the media has basically given him a pass. It's

1149
01:13:28,760 --> 01:13:31,439
Speaker 1: disgusting that his poll numbers are so high because I

1150
01:13:31,439 --> 01:13:34,040
Speaker 1: have to assume that most people don't know all the

1151
01:13:34,520 --> 01:13:37,400
Speaker 1: you know, things that have happened. And it's disgusting that

1152
01:13:37,439 --> 01:13:42,040
Speaker 1: he blames other states now for for mismanaging when he

1153
01:13:42,680 --> 01:13:47,360
Speaker 1: is most incompetent governor in America. I can put him

1154
01:13:47,360 --> 01:13:49,720
Speaker 1: work starkly, Yeah, No, I mean I tell us that

1155
01:13:49,760 --> 01:13:53,599
Speaker 1: I really feel I totally agree with you. I'm a

1156
01:13:53,680 --> 01:13:57,240
Speaker 1: little astonished. I look, New York is overwhelmingly Democrats state

1157
01:13:57,280 --> 01:13:59,120
Speaker 1: as we all know. I think statewide it's like three

1158
01:13:59,160 --> 01:14:01,440
Speaker 1: to one New York. It's like eight to one Democrat

1159
01:14:01,439 --> 01:14:06,280
Speaker 1: to Republican. And yet I don't know how anyone could

1160
01:14:06,280 --> 01:14:09,320
Speaker 1: be so dumb And it's like a seventy percent approval

1161
01:14:09,400 --> 01:14:12,599
Speaker 1: rating he allegedly has in the state be so dumb

1162
01:14:12,640 --> 01:14:15,400
Speaker 1: as to think that he did a good job. But

1163
01:14:15,479 --> 01:14:19,919
Speaker 1: it really this is turned into whoever mouths the approved

1164
01:14:20,040 --> 01:14:23,439
Speaker 1: slogans of the lockdown movement? You know, who's ever like

1165
01:14:23,479 --> 01:14:27,000
Speaker 1: where a mask and you know, social distance and a

1166
01:14:27,120 --> 01:14:29,679
Speaker 1: listition to the sacience and all these things that Cuomo

1167
01:14:29,800 --> 01:14:32,759
Speaker 1: saying all the time. If you just say all that stuff,

1168
01:14:33,240 --> 01:14:35,320
Speaker 1: you're like one of the good guys. Even if you

1169
01:14:35,360 --> 01:14:38,920
Speaker 1: were sending COVID positive seniors into nursing homes to kill

1170
01:14:38,960 --> 01:14:42,280
Speaker 1: a lot of their fellow nursing home residence. That's what happened,

1171
01:14:43,240 --> 01:14:45,240
Speaker 1: was that your New York accent you just did? That

1172
01:14:45,360 --> 01:14:47,920
Speaker 1: was Cuomo. This is you know, you have a here

1173
01:14:47,960 --> 01:14:50,120
Speaker 1: with a press conference. He sort of he goes up

1174
01:14:50,200 --> 01:14:52,040
Speaker 1: here and then sometimes he brings it down here for

1175
01:14:52,080 --> 01:14:54,639
Speaker 1: a little bit, but then he goes back and it's

1176
01:14:54,720 --> 01:14:59,840
Speaker 1: kind of slow. But you were saying, David, Yeah, I mean,

1177
01:15:00,120 --> 01:15:03,160
Speaker 1: you know, that's all correct, you know, And I think

1178
01:15:03,240 --> 01:15:05,559
Speaker 1: part of the problem is that you have him giving

1179
01:15:05,920 --> 01:15:11,360
Speaker 1: competent looking or you know, something that projects competence in

1180
01:15:11,560 --> 01:15:14,600
Speaker 1: press conferences. Right, So I think those press conference has

1181
01:15:14,640 --> 01:15:16,640
Speaker 1: almost fooled me in the beginning as well. You know,

1182
01:15:16,960 --> 01:15:18,320
Speaker 1: he looked like he knew what he was doing. It

1183
01:15:18,360 --> 01:15:20,240
Speaker 1: look like he had control of the situation. He's got

1184
01:15:20,240 --> 01:15:24,040
Speaker 1: the code on, you know, all that stuff. And then

1185
01:15:24,160 --> 01:15:27,040
Speaker 1: obviously he's on you know, CNN every day with his

1186
01:15:27,439 --> 01:15:32,240
Speaker 1: brother just lobbing softballs at him. He's on the Tonight

1187
01:15:32,320 --> 01:15:34,320
Speaker 1: Show where they're talking about all the women who are

1188
01:15:34,360 --> 01:15:37,280
Speaker 1: really into him because he's so competent, et cetera. And

1189
01:15:37,320 --> 01:15:39,960
Speaker 1: you create this perception of competence that does not exist.

1190
01:15:40,360 --> 01:15:42,439
Speaker 1: And then the media not all I have to say.

1191
01:15:42,479 --> 01:15:43,920
Speaker 1: I mean, some people have gone after him, but in

1192
01:15:44,000 --> 01:15:47,000
Speaker 1: general given him a pass. And I think that that, all,

1193
01:15:47,280 --> 01:15:49,160
Speaker 1: you know, is part of it. And then partisanship is

1194
01:15:49,200 --> 01:15:50,479
Speaker 1: part of it as well. You know, people want to

1195
01:15:50,520 --> 01:15:52,720
Speaker 1: blame Trump, so they don't blame Cuomo or you know,

1196
01:15:52,960 --> 01:15:55,360
Speaker 1: or whatever. But seventy seven percent. He's one of the

1197
01:15:55,400 --> 01:15:59,479
Speaker 1: most popular governors in America, and his state has mentioned

1198
01:15:59,479 --> 01:16:01,720
Speaker 1: I think this last week on your show, but there

1199
01:16:01,720 --> 01:16:04,280
Speaker 1: are more deaths in New York nursing homes than they're

1200
01:16:04,280 --> 01:16:06,839
Speaker 1: on the entire state of Florida's, entire state of Texas,

1201
01:16:06,960 --> 01:16:11,880
Speaker 1: and I believe still entire state of Arizona, which is yeah.

1202
01:16:11,920 --> 01:16:13,840
Speaker 1: I mean you would think that, don't. We always hear

1203
01:16:13,880 --> 01:16:16,479
Speaker 1: things that don't the results speak for themselves. This has

1204
01:16:16,520 --> 01:16:18,720
Speaker 1: been a as you, as you let it out, a

1205
01:16:18,720 --> 01:16:23,599
Speaker 1: propaganda campaign to completely overcome and really erase the results

1206
01:16:23,640 --> 01:16:26,080
Speaker 1: because there's there's no arguing the numbers. I mean, New York,

1207
01:16:26,280 --> 01:16:28,080
Speaker 1: I'm right in the middle of it. I was living here.

1208
01:16:28,280 --> 01:16:31,599
Speaker 1: I couldn't see family members for months, couldn't do anything,

1209
01:16:31,920 --> 01:16:35,560
Speaker 1: and this place was a catastrophe, an absolute catastrophe. And

1210
01:16:36,040 --> 01:16:37,600
Speaker 1: you know, David, I also have to wonder, and I

1211
01:16:37,640 --> 01:16:40,360
Speaker 1: know you're somebody who you're you know you're you're more

1212
01:16:40,439 --> 01:16:45,599
Speaker 1: open to some of the more traditional mitigation arguments working

1213
01:16:45,640 --> 01:16:48,760
Speaker 1: than I am. I'm not saying they're wrong. I just

1214
01:16:48,920 --> 01:16:50,680
Speaker 1: I think I'm a little more skeptical of some of

1215
01:16:50,720 --> 01:16:52,000
Speaker 1: the new Although I don't want to put words in

1216
01:16:52,040 --> 01:16:54,920
Speaker 1: your mouth. But New York had a lockdown where everyone

1217
01:16:54,920 --> 01:16:57,280
Speaker 1: wear a mask and the disease was raging out of

1218
01:16:57,280 --> 01:17:00,599
Speaker 1: control for about ninety days, right, and I never saw

1219
01:17:00,600 --> 01:17:03,320
Speaker 1: anybody without a mask, and everyone was on lockdown, but

1220
01:17:03,360 --> 01:17:05,679
Speaker 1: the disease was still spreading and spreading and spreading, including

1221
01:17:05,720 --> 01:17:10,479
Speaker 1: spreading in people's homes. California has been under you know,

1222
01:17:10,520 --> 01:17:13,640
Speaker 1: the Democrat mantra of mass, mass masks, social distance, all

1223
01:17:13,680 --> 01:17:17,280
Speaker 1: this stuff, and now they're rolling back, no more indoors stuff.

1224
01:17:17,320 --> 01:17:20,960
Speaker 1: They're just shy of a phase one lockdown. If the

1225
01:17:21,000 --> 01:17:25,880
Speaker 1: policies work, why aren't they working right? Well, here's my

1226
01:17:25,920 --> 01:17:27,960
Speaker 1: position on this stuff. Some makes sense. I have to

1227
01:17:28,200 --> 01:17:30,360
Speaker 1: I have to trust experts because that's how we live

1228
01:17:30,360 --> 01:17:31,680
Speaker 1: in life. I get on a plane, I have to

1229
01:17:31,720 --> 01:17:34,880
Speaker 1: trust that the pilot's going to get me there. Um.

1230
01:17:35,280 --> 01:17:37,960
Speaker 1: But more, as we get deeper into this, I realize

1231
01:17:38,000 --> 01:17:42,720
Speaker 1: how little they know. Yeah, and I'm very, very skeptical

1232
01:17:43,160 --> 01:17:46,439
Speaker 1: of anything they say, not because I think that most

1233
01:17:46,439 --> 01:17:48,280
Speaker 1: of them have, you know, bad intense. It's just that

1234
01:17:48,320 --> 01:17:50,560
Speaker 1: they don't know everything we think we know we do.

1235
01:17:50,960 --> 01:17:53,000
Speaker 1: There's just no we will not make sense of this

1236
01:17:53,120 --> 01:17:56,799
Speaker 1: for years and I'm all with the experts until one topic,

1237
01:17:56,840 --> 01:17:59,320
Speaker 1: and maybe you've discussed this is opening the schools. It

1238
01:17:59,479 --> 01:18:01,640
Speaker 1: is clear that the science says open to schools. The

1239
01:18:02,200 --> 01:18:05,360
Speaker 1: science says a common sense says that. My empirical view

1240
01:18:05,640 --> 01:18:09,160
Speaker 1: of it says so. And yet now Democrats were against

1241
01:18:09,200 --> 01:18:10,760
Speaker 1: that as well, which just tells me they want to

1242
01:18:10,800 --> 01:18:12,880
Speaker 1: keep this going until November, many of them, And there's

1243
01:18:12,920 --> 01:18:15,400
Speaker 1: just no other way to look at what they're up

1244
01:18:15,439 --> 01:18:17,720
Speaker 1: to and not come to that conclusion, at least from

1245
01:18:17,720 --> 01:18:20,559
Speaker 1: my perspective. Yeah, no, I think so, And on your

1246
01:18:20,920 --> 01:18:22,760
Speaker 1: that's for me. The main thing, David, it's that there

1247
01:18:22,800 --> 01:18:25,839
Speaker 1: are things that experts know, and there are things experts

1248
01:18:25,840 --> 01:18:28,760
Speaker 1: know more than the general public. But it's important to

1249
01:18:28,880 --> 01:18:31,879
Speaker 1: establish and know what those are as a non expert,

1250
01:18:32,120 --> 01:18:34,800
Speaker 1: because there are also things that experts either think they

1251
01:18:34,840 --> 01:18:37,920
Speaker 1: know or should know, and do not. And what we're

1252
01:18:37,960 --> 01:18:40,280
Speaker 1: seeing with this virus, I think is a lot of that.

1253
01:18:40,560 --> 01:18:42,439
Speaker 1: You know, you ask them, why is it that we

1254
01:18:42,520 --> 01:18:45,160
Speaker 1: have this six foot guidance rule? What's that? Based on

1255
01:18:45,280 --> 01:18:48,200
Speaker 1: the answer is it's a guess. There are other countries

1256
01:18:48,200 --> 01:18:50,800
Speaker 1: that have a three foot social distancing rule. Why is

1257
01:18:50,840 --> 01:18:52,920
Speaker 1: it at ten feet? How could you even enforce this.

1258
01:18:53,200 --> 01:18:56,840
Speaker 1: It's actually absurd, but it's just, you know, like telling

1259
01:18:56,840 --> 01:19:00,000
Speaker 1: people to wash their hands a lot. If washing hands

1260
01:19:00,080 --> 01:19:03,160
Speaker 1: could stop this disease from being a pandemic, obviously we'd

1261
01:19:03,200 --> 01:19:05,240
Speaker 1: be in much better shape. It's not enough. Now I

1262
01:19:05,320 --> 01:19:08,160
Speaker 1: understand all these things together, they would argue might lower

1263
01:19:08,200 --> 01:19:10,840
Speaker 1: the transmission some degree, but we're still in the middle

1264
01:19:10,840 --> 01:19:13,120
Speaker 1: of a pandemic, one for which they can't tell us

1265
01:19:13,120 --> 01:19:15,840
Speaker 1: how long immunity lasts, one for which they can't tell

1266
01:19:15,920 --> 01:19:20,519
Speaker 1: us whether a vaccine would even be good for more

1267
01:19:20,560 --> 01:19:22,400
Speaker 1: than one year, more than one side. I mean, it's

1268
01:19:22,560 --> 01:19:25,000
Speaker 1: there's all these things they just don't know. But all

1269
01:19:25,000 --> 01:19:26,479
Speaker 1: you have to do if your Democrat is go on

1270
01:19:26,520 --> 01:19:29,760
Speaker 1: TV or go on social media and say listen to

1271
01:19:29,800 --> 01:19:33,800
Speaker 1: the experts, as if that's some kind of panacea. But

1272
01:19:33,920 --> 01:19:36,360
Speaker 1: I did want it to get your take also on

1273
01:19:37,200 --> 01:19:40,120
Speaker 1: this just this was just breaking today. So it's something

1274
01:19:40,160 --> 01:19:45,360
Speaker 1: new to add into our discussions about Barry Weiss resigning

1275
01:19:45,520 --> 01:19:50,920
Speaker 1: and sending out a blistering letter of resignation. She's at

1276
01:19:50,920 --> 01:19:53,920
Speaker 1: the New York Times. Tell folks, who, why do we

1277
01:19:53,960 --> 01:19:56,240
Speaker 1: care about who Barry Weiss is? And what does this

1278
01:19:56,240 --> 01:19:58,519
Speaker 1: tell us about? What's going on with the crazy woke

1279
01:19:58,600 --> 01:20:00,920
Speaker 1: lives at the New York Times. Barry Weiss is a

1280
01:20:00,960 --> 01:20:03,040
Speaker 1: person that maybe five years ago we just call it

1281
01:20:03,520 --> 01:20:06,840
Speaker 1: a liberal, right she has She's probably more on the

1282
01:20:06,840 --> 01:20:10,000
Speaker 1: moderate side. I don't know all her positions, but she's

1283
01:20:10,040 --> 01:20:12,960
Speaker 1: you know, she's pro Israel. You know, she takes a

1284
01:20:13,040 --> 01:20:15,760
Speaker 1: more moderate view of Israel and other issues like that.

1285
01:20:15,800 --> 01:20:18,200
Speaker 1: You know, she calls that anti Semitism, even if it's

1286
01:20:18,560 --> 01:20:24,960
Speaker 1: coming from certain you know, it's coming from far Coon, etc. Yeah, Firac,

1287
01:20:26,120 --> 01:20:31,120
Speaker 1: unlike some some other editorialists. But she, as we know

1288
01:20:31,200 --> 01:20:34,280
Speaker 1: at the New York Times, you have incredibly woke and

1289
01:20:34,400 --> 01:20:38,240
Speaker 1: incredibly you know, I don't know what's called them progressive

1290
01:20:38,479 --> 01:20:40,840
Speaker 1: people who complain and I get people fired who they

1291
01:20:40,880 --> 01:20:43,840
Speaker 1: disagree with and pretend that words are violence. And she's

1292
01:20:43,880 --> 01:20:45,719
Speaker 1: on the liberal end of things, I mean the liberal

1293
01:20:45,760 --> 01:20:49,200
Speaker 1: and the small l real sense of things. And she

1294
01:20:49,400 --> 01:20:51,479
Speaker 1: was basically from what her letter says, and there's no

1295
01:20:51,560 --> 01:20:54,400
Speaker 1: reason to disbelieve it, considering all the other things we've

1296
01:20:54,400 --> 01:20:58,840
Speaker 1: seen that she was bullied and insulted and made to

1297
01:20:58,880 --> 01:21:01,599
Speaker 1: feel unwelcome there and to leave. So she wrote a letter,

1298
01:21:01,640 --> 01:21:03,679
Speaker 1: which I think is probably the best thing She's written

1299
01:21:03,960 --> 01:21:07,320
Speaker 1: fantastic letter about liberalism and liberalism and about what went

1300
01:21:07,360 --> 01:21:10,680
Speaker 1: on there in open discourse and she left. I think

1301
01:21:10,760 --> 01:21:14,200
Speaker 1: it's a it's an incredibly notable for people who are

1302
01:21:14,200 --> 01:21:16,479
Speaker 1: in journalism and writers. I think that her letter is

1303
01:21:16,520 --> 01:21:18,920
Speaker 1: incredibly important. I feel like it will be. It feels

1304
01:21:18,960 --> 01:21:21,439
Speaker 1: that way to me, and maybe it will be a

1305
01:21:21,479 --> 01:21:23,680
Speaker 1: turning point. I hope it will be. Do you think

1306
01:21:23,760 --> 01:21:26,599
Speaker 1: it's a sad sense that she might sue them? You know,

1307
01:21:26,880 --> 01:21:30,040
Speaker 1: she's kind of intimates that she will, and I hope

1308
01:21:30,040 --> 01:21:34,240
Speaker 1: she does. Actually, do you think that there's how you

1309
01:21:34,320 --> 01:21:36,960
Speaker 1: look you've worked? I know you've worked at some some

1310
01:21:37,600 --> 01:21:40,280
Speaker 1: large newspapers in the path that you worked at the

1311
01:21:40,560 --> 01:21:43,120
Speaker 1: Denver Post, and you've been at a few places in

1312
01:21:43,120 --> 01:21:46,599
Speaker 1: the past where I'm sure there were liberal journalists there.

1313
01:21:46,640 --> 01:21:50,400
Speaker 1: So do you get and you haven't worked at times

1314
01:21:50,400 --> 01:21:54,120
Speaker 1: if memory serves, But do you think that there's embarrassment

1315
01:21:54,200 --> 01:21:57,800
Speaker 1: among the employees of the newsroom who just won't come

1316
01:21:57,800 --> 01:21:59,639
Speaker 1: out and say it, or do you I know, I'll

1317
01:21:59,680 --> 01:22:01,080
Speaker 1: ask you to kind of look into Crystal Ball a

1318
01:22:01,120 --> 01:22:04,360
Speaker 1: little bit, but they can't. You can't really think you're

1319
01:22:04,400 --> 01:22:06,120
Speaker 1: a journalist and that you make you're living on free

1320
01:22:06,120 --> 01:22:08,720
Speaker 1: speech and that what's going on right now isn't insane, right?

1321
01:22:08,840 --> 01:22:11,639
Speaker 1: Or am I giving I'm talking about for the majority

1322
01:22:11,640 --> 01:22:13,160
Speaker 1: of the people that work in these places, or am

1323
01:22:13,160 --> 01:22:15,240
Speaker 1: I giving them too much credit? I think that's probably

1324
01:22:15,280 --> 01:22:17,680
Speaker 1: a large contingent that are just not you know, I

1325
01:22:17,720 --> 01:22:19,840
Speaker 1: wouldn't call them cowards, but they don't want to be fired,

1326
01:22:19,880 --> 01:22:21,760
Speaker 1: they don't want the attention. They just want to do

1327
01:22:21,800 --> 01:22:25,160
Speaker 1: whatever they're doing right, their movie reviews, whatever, right. And

1328
01:22:25,200 --> 01:22:27,760
Speaker 1: then there's a contingent the people we know on the

1329
01:22:27,840 --> 01:22:31,799
Speaker 1: editorial page and the columnists who are themselves bullies and cowards.

1330
01:22:31,800 --> 01:22:33,840
Speaker 1: And I think they're activists and they think that what

1331
01:22:33,880 --> 01:22:37,280
Speaker 1: they're doing, like a religious fanatic does, is always okay

1332
01:22:37,320 --> 01:22:40,000
Speaker 1: because they're zealous about it and they believe it really deeply.

1333
01:22:40,640 --> 01:22:44,400
Speaker 1: These are the people who you know, pedal Pseudohistoric sixty

1334
01:22:44,520 --> 01:22:47,679
Speaker 1: nineteen projects and like column at race obsessed column after

1335
01:22:47,720 --> 01:22:50,720
Speaker 1: column calling anyone who disagrees with them a racist. And

1336
01:22:50,800 --> 01:22:54,320
Speaker 1: these people on the page, and clearly including Paul Krugman,

1337
01:22:54,360 --> 01:22:58,760
Speaker 1: who does similar sorts of things, are people who see

1338
01:22:58,800 --> 01:23:02,080
Speaker 1: no problem bullying other So Paul Krugman went out of

1339
01:23:02,080 --> 01:23:04,000
Speaker 1: his way recently, he tried to get someone at the

1340
01:23:04,280 --> 01:23:07,479
Speaker 1: University of Chicago fired because he said all lives matters

1341
01:23:07,520 --> 01:23:10,080
Speaker 1: or forgot what he did some some you know, free

1342
01:23:10,080 --> 01:23:13,280
Speaker 1: speech crime or thought you know, wrong thing crime. And

1343
01:23:13,560 --> 01:23:16,000
Speaker 1: so that's I think what you know, it's a small segment,

1344
01:23:16,000 --> 01:23:18,360
Speaker 1: but it's the segment of people, the faction that run

1345
01:23:18,439 --> 01:23:21,240
Speaker 1: the paper. Barry White said that Twitter is the real

1346
01:23:21,360 --> 01:23:23,759
Speaker 1: editor of New York Times editorial page. And that's the truth.

1347
01:23:23,800 --> 01:23:26,840
Speaker 1: I think a mob runs the paper. Remember a few

1348
01:23:26,920 --> 01:23:29,040
Speaker 1: like last year or on a number of occasions, they've

1349
01:23:29,120 --> 01:23:32,960
Speaker 1: changed headlines the news such changed headlines because the Biden

1350
01:23:33,000 --> 01:23:36,040
Speaker 1: camp being cold or the Twitter got mad. They are

1351
01:23:36,080 --> 01:23:38,280
Speaker 1: They're just cowards. These are cowards that started at the

1352
01:23:38,320 --> 01:23:43,560
Speaker 1: Atlantic with Kevin Williamson's my colleague Nano being fired for

1353
01:23:43,880 --> 01:23:47,120
Speaker 1: having an opinion about something, and now we see it there.

1354
01:23:47,960 --> 01:23:51,800
Speaker 1: Damon Arsani, everybody, David keeping the fight, stay safe. Thanks

1355
01:23:51,840 --> 01:23:57,360
Speaker 1: for joining us, my friend, Thank you anytime you're in

1356
01:23:57,400 --> 01:24:00,960
Speaker 1: the freedom und This is the Buck Section Show podcast.

1357
01:24:04,840 --> 01:24:07,120
Speaker 1: I figured i'd share with you some of what this

1358
01:24:07,640 --> 01:24:10,519
Speaker 1: New York Times editor Barry Weisse puts in a resignation letter.

1359
01:24:10,560 --> 01:24:15,320
Speaker 1: Remember New York Times is the the Grand Cathedral that

1360
01:24:15,400 --> 01:24:17,400
Speaker 1: they probably wouldn't like to be called that, But you know,

1361
01:24:17,520 --> 01:24:21,760
Speaker 1: it's the I don't know what's what's the what's the

1362
01:24:21,800 --> 01:24:26,880
Speaker 1: proper way of saying it? Um, the Superdome? How about that?

1363
01:24:27,400 --> 01:24:34,360
Speaker 1: It's the superdome of leftist journalism, of democrat aligned journalism

1364
01:24:34,360 --> 01:24:37,960
Speaker 1: in America. It's it's the most elite newspaper, even more

1365
01:24:37,960 --> 01:24:42,800
Speaker 1: so really than the Washington Post. And yeah, they've lost

1366
01:24:42,800 --> 01:24:45,760
Speaker 1: their minds over there. That's that's for sure. Barry Weiss

1367
01:24:45,920 --> 01:24:50,880
Speaker 1: in her resignation letter, how's the following? Um, this is

1368
01:24:51,000 --> 01:24:53,519
Speaker 1: I guess for this is to Salzburger, the guy who

1369
01:24:53,760 --> 01:24:56,360
Speaker 1: owns it, runs it. It is with sadness that I

1370
01:24:56,400 --> 01:24:58,680
Speaker 1: write to tell you I'm resigning from New York Times.

1371
01:24:58,720 --> 01:25:01,400
Speaker 1: I joined the paper with gratitude, an optimism three years ago.

1372
01:25:02,040 --> 01:25:05,240
Speaker 1: Blah blah, a voice to bring other voices, blah blah

1373
01:25:05,320 --> 01:25:08,600
Speaker 1: blah blah. Okay, here we go, good stuff. Twitter is

1374
01:25:08,680 --> 01:25:11,519
Speaker 1: not on the masthead of The New York Times, but

1375
01:25:11,680 --> 01:25:14,960
Speaker 1: Twitter has become its ultimate editor. As the ethics and

1376
01:25:15,040 --> 01:25:17,559
Speaker 1: mores of that platform have become those of the paper.

1377
01:25:18,040 --> 01:25:21,920
Speaker 1: The paper itself has increasingly become a kind of performance space.

1378
01:25:22,760 --> 01:25:26,000
Speaker 1: Stories are chosen and told in a way to satisfy

1379
01:25:26,120 --> 01:25:29,559
Speaker 1: the narrowest of audiences, rather than to allow a curious

1380
01:25:29,600 --> 01:25:32,200
Speaker 1: public to read about the world and then draw their

1381
01:25:32,240 --> 01:25:36,080
Speaker 1: own conclusions. I was always taught that journalists were charged

1382
01:25:36,080 --> 01:25:38,799
Speaker 1: with writing the first draft, a rough draft of history.

1383
01:25:39,200 --> 01:25:43,200
Speaker 1: Now history itself is one more ephemeral thing, molded to

1384
01:25:43,240 --> 01:25:47,559
Speaker 1: fit the needs of a predetermined narrative. Wow, I mean,

1385
01:25:47,560 --> 01:25:50,080
Speaker 1: this isn't surprise at all. Right, it's just somebody from

1386
01:25:50,080 --> 01:25:53,120
Speaker 1: the inside, a liberal, my friends, who would disagree with

1387
01:25:53,200 --> 01:25:57,840
Speaker 1: you listening to this on ninety percent of stuff in life,

1388
01:25:57,920 --> 01:26:01,040
Speaker 1: or maybe seventy percent. She's a little less crazy than

1389
01:26:01,080 --> 01:26:03,400
Speaker 1: some of the others, but I would disagree with you

1390
01:26:03,400 --> 01:26:06,000
Speaker 1: almost all the time. And was an editor at this paper.

1391
01:26:06,040 --> 01:26:08,760
Speaker 1: And she's resigning, and she is telling you what I

1392
01:26:08,920 --> 01:26:11,160
Speaker 1: tell you every day about the New York Times, and

1393
01:26:11,200 --> 01:26:15,160
Speaker 1: what you know about the New York Times is in

1394
01:26:15,240 --> 01:26:21,200
Speaker 1: fact entirely true. It's true. I'm not I'm not exaggerating

1395
01:26:21,400 --> 01:26:24,800
Speaker 1: Murra right wing radio. Ur. I'm not sitting here, you know,

1396
01:26:24,800 --> 01:26:26,599
Speaker 1: I don't know where they hate him. And it's terrible,

1397
01:26:26,640 --> 01:26:29,360
Speaker 1: you know, I'm not doing any of that. I'm just

1398
01:26:30,000 --> 01:26:37,000
Speaker 1: telling you the truth, and it's amazing that this is

1399
01:26:37,040 --> 01:26:41,280
Speaker 1: what it's come to. The most famous newspaper are arguably,

1400
01:26:41,320 --> 01:26:45,320
Speaker 1: I think pretty clearly in the country is run by

1401
01:26:45,439 --> 01:26:48,960
Speaker 1: She says, Twitter and the opinion of Libs on that

1402
01:26:49,040 --> 01:26:52,519
Speaker 1: social media platform, I mean, Twitter has effectively destroyed the

1403
01:26:52,560 --> 01:26:57,160
Speaker 1: facade of journalism because you have all these people who

1404
01:26:57,240 --> 01:26:59,479
Speaker 1: now don't have to go through an editor, don't have

1405
01:26:59,520 --> 01:27:02,519
Speaker 1: any quality control over their sharing of thoughts, and they're

1406
01:27:02,520 --> 01:27:05,760
Speaker 1: telling us I'm a huge leftist, I'm a Marxist, I'm

1407
01:27:05,800 --> 01:27:08,960
Speaker 1: a lunatic social justice warrior. Oh, I'm now just covering

1408
01:27:09,040 --> 01:27:11,519
Speaker 1: national politics on the front page of the New York Times,

1409
01:27:11,520 --> 01:27:14,360
Speaker 1: and I swear I have no bias, as if we're

1410
01:27:14,360 --> 01:27:17,639
Speaker 1: all morons right, as if we don't know exactly what's

1411
01:27:17,680 --> 01:27:20,880
Speaker 1: going on there. A little more from her resignation letter,

1412
01:27:21,200 --> 01:27:23,840
Speaker 1: My own forays into wrong think have made me the

1413
01:27:23,840 --> 01:27:27,960
Speaker 1: subjects of constant bullying by colleagues who disagree with my views.

1414
01:27:28,080 --> 01:27:31,920
Speaker 1: They have called me a Nazi and a racist. I

1415
01:27:31,960 --> 01:27:34,679
Speaker 1: have learned to brush off comments about how I'm writing

1416
01:27:34,800 --> 01:27:39,240
Speaker 1: about the Jews. Again, several colleagues perceived to be friendly

1417
01:27:39,280 --> 01:27:43,400
Speaker 1: with me were badgered by coworkers my work and my

1418
01:27:43,520 --> 01:27:48,400
Speaker 1: character are openly demeaned on companywide slack channels, where masked

1419
01:27:48,400 --> 01:27:52,880
Speaker 1: head editors regularly weigh in. There. Some coworkers insist I

1420
01:27:52,920 --> 01:27:55,519
Speaker 1: need to be rooted out if this company is to

1421
01:27:55,600 --> 01:28:00,120
Speaker 1: be a truly inclusive one, while others post ax emojis

1422
01:28:00,120 --> 01:28:03,360
Speaker 1: next to my name. Wow. Still, other New York Times

1423
01:28:03,360 --> 01:28:07,360
Speaker 1: employees publicly smear me as a liar and a bigot

1424
01:28:07,400 --> 01:28:10,479
Speaker 1: on Twitter, with no fear that harassing me will be

1425
01:28:10,560 --> 01:28:15,759
Speaker 1: met with appropriate action. They never are. There are terms

1426
01:28:15,760 --> 01:28:21,280
Speaker 1: for all of this unlawful discrimination, hostile work environment, and

1427
01:28:21,400 --> 01:28:25,840
Speaker 1: constructive discharge. I'm known legal expert, but I know that

1428
01:28:25,880 --> 01:28:30,920
Speaker 1: this is wrong. Oh yes, sue them. Go for it. Barry,

1429
01:28:31,479 --> 01:28:36,960
Speaker 1: sue the New York Times into oblivion. Go for it.

1430
01:28:37,720 --> 01:28:44,160
Speaker 1: I think this is fantastic. They should be sued. It's

1431
01:28:44,760 --> 01:28:47,760
Speaker 1: this is a great a great letter, the basics. Look,

1432
01:28:47,800 --> 01:28:49,400
Speaker 1: it's worth reading the whole thing. I won't read it

1433
01:28:49,400 --> 01:28:52,400
Speaker 1: to you all in air prusin Mark. Maybe we should

1434
01:28:52,439 --> 01:28:54,040
Speaker 1: post it on bucksex and dot com. I don't know

1435
01:28:54,040 --> 01:28:55,560
Speaker 1: if people what do you think people would like? I

1436
01:28:55,600 --> 01:28:57,639
Speaker 1: don't know. I'll tweet, I'll tweet it out, I'll tweet

1437
01:28:57,680 --> 01:29:02,880
Speaker 1: it out. But it's amazing. This is my favorite thing.

1438
01:29:03,880 --> 01:29:07,599
Speaker 1: Why added something challenging to our readers or something boldly

1439
01:29:07,680 --> 01:29:10,960
Speaker 1: only to go through numbing process of making ideologically kosher

1440
01:29:11,320 --> 01:29:14,480
Speaker 1: when we can assure ourselves of job security by publishing

1441
01:29:14,479 --> 01:29:17,360
Speaker 1: our four thousandth op ed arguing that Donald Trump is

1442
01:29:17,400 --> 01:29:20,800
Speaker 1: a unique danger to the country and the world. It's

1443
01:29:20,840 --> 01:29:24,160
Speaker 1: totally true. She's telling you the truth. Thanks for listening

1444
01:29:24,160 --> 01:29:27,600
Speaker 1: to the Bus Sesson Show podcasts. Remember to subscribe on

1445
01:29:27,640 --> 01:29:31,880
Speaker 1: Apple podcast, the iHeartRadio app, or wherever you get your podcasts.

1446
01:29:35,320 --> 01:29:43,840
Speaker 1: The show ain't over yet, folks. Keeping it real, It's

1447
01:29:43,920 --> 01:29:59,559
Speaker 1: time for roll call. All right, roll call, let us

1448
01:29:59,600 --> 01:30:02,920
Speaker 1: hit it. Remember Facebook dot com slash buck Sexton. Please

1449
01:30:03,600 --> 01:30:05,760
Speaker 1: follow the page if you have not already. If you're

1450
01:30:05,800 --> 01:30:07,479
Speaker 1: on Facebook and you listen to the show every day,

1451
01:30:07,479 --> 01:30:10,160
Speaker 1: why aren't you part of the freedom hud online and

1452
01:30:10,240 --> 01:30:13,360
Speaker 1: also go to Bucksexton dot com for stories posted throughout

1453
01:30:13,400 --> 01:30:16,200
Speaker 1: the day. You can even listen to the podcast there.

1454
01:30:16,240 --> 01:30:18,880
Speaker 1: You can listen on Spotify, and producer Mark points out

1455
01:30:18,920 --> 01:30:22,200
Speaker 1: the company that both that pays us has a fantastic app,

1456
01:30:22,280 --> 01:30:24,960
Speaker 1: iHeartRadio app which you can listen to the podcast on

1457
01:30:24,960 --> 01:30:28,320
Speaker 1: that as well. Please pass the Buck, am I have?

1458
01:30:28,439 --> 01:30:30,559
Speaker 1: I am I good here? Mark at anything else I'm

1459
01:30:30,600 --> 01:30:34,639
Speaker 1: leaving off Bucksexen dot com Right, Bucksexen dot com. Great

1460
01:30:34,640 --> 01:30:38,559
Speaker 1: website that we've got going on. So yeah, there we go.

1461
01:30:38,560 --> 01:30:41,320
Speaker 1: We got good things, good things. Oh and don't forget

1462
01:30:41,320 --> 01:30:43,679
Speaker 1: the Buck Brief. Please share that to your Facebook page.

1463
01:30:44,560 --> 01:30:50,600
Speaker 1: That'll be up. That's up today already, all right, Jim

1464
01:30:50,760 --> 01:30:54,280
Speaker 1: Buck love the show. Listen to it often after work

1465
01:30:54,640 --> 01:30:57,720
Speaker 1: at the golf course while I practice my game. I'm

1466
01:30:57,800 --> 01:30:59,880
Speaker 1: usually starving at this time. My attention focus is when

1467
01:30:59,880 --> 01:31:03,880
Speaker 1: you talk about food, in particular. You've recently discussed both

1468
01:31:03,880 --> 01:31:06,400
Speaker 1: a skillet seared steak that you based an herb butter

1469
01:31:06,680 --> 01:31:10,840
Speaker 1: and a spaghetti carbonara. Both of these sound decadent and delicious.

1470
01:31:11,320 --> 01:31:14,360
Speaker 1: Unable to decide which of these to have tonight, so

1471
01:31:14,400 --> 01:31:16,680
Speaker 1: I decided to have both. I want you to know

1472
01:31:16,920 --> 01:31:20,479
Speaker 1: the meal was amazing. Not surprised. The two go together

1473
01:31:20,560 --> 01:31:23,559
Speaker 1: perfectly and should become your sign your dish. Thanks for

1474
01:31:23,600 --> 01:31:25,760
Speaker 1: the food tips, and keep up the good fight. She'll

1475
01:31:25,760 --> 01:31:28,280
Speaker 1: tell my friends. Now I'm off to a food coma. Jim,

1476
01:31:29,200 --> 01:31:32,040
Speaker 1: you made us. It's a power move, my friend. That's

1477
01:31:32,040 --> 01:31:35,080
Speaker 1: some good stuff. Making sure that you have what you

1478
01:31:35,160 --> 01:31:42,040
Speaker 1: need on the plate. Let's producer Mark. If I if

1479
01:31:42,080 --> 01:31:44,679
Speaker 1: I told you that tonight you were going to have

1480
01:31:44,960 --> 01:31:51,639
Speaker 1: a fantastic steak cut of your choice, perfectly cooked and seasoned,

1481
01:31:52,200 --> 01:31:57,439
Speaker 1: or a really excellent creamy spaghetti carbonara, but you can

1482
01:31:57,479 --> 01:32:01,040
Speaker 1: only have one. Which would you go? That is a

1483
01:32:01,080 --> 01:32:04,880
Speaker 1: tough choice, Buck, I think so too. Actually, they're both

1484
01:32:04,920 --> 01:32:08,639
Speaker 1: so good. I go steak just because I think that's

1485
01:32:08,680 --> 01:32:11,640
Speaker 1: my favorite thing. Yeah, I probably go steak too. But

1486
01:32:11,720 --> 01:32:13,120
Speaker 1: what's on the side of the steak? Maybe and I

1487
01:32:13,120 --> 01:32:16,439
Speaker 1: speaked potato? Yeah, something like that. If you get you know,

1488
01:32:16,520 --> 01:32:18,160
Speaker 1: you gotta have some kind of a starch. I guess

1489
01:32:18,680 --> 01:32:23,920
Speaker 1: steakhouse sides are good, but you know, you get more

1490
01:32:24,040 --> 01:32:26,240
Speaker 1: variety that you go to a steakhouse for steak, maybe

1491
01:32:26,280 --> 01:32:30,519
Speaker 1: for the seafood. Sometimes the sides are good. Um anyway, Yeah,

1492
01:32:30,560 --> 01:32:32,760
Speaker 1: I'm making myself hungry, man, it's not even dinner time

1493
01:32:32,760 --> 01:32:35,120
Speaker 1: for me making myself hungry to staking about this. But yeah, no,

1494
01:32:35,240 --> 01:32:37,960
Speaker 1: carbonara is my favorite. You told me your favorite pasta

1495
01:32:38,000 --> 01:32:42,840
Speaker 1: was ravioli. Uh no, I don't even remember. If No,

1496
01:32:42,920 --> 01:32:45,679
Speaker 1: that was not my favorite. Rigatoni was Producer Nick's favorite.

1497
01:32:45,920 --> 01:32:50,360
Speaker 1: Rigatoni was producer Nicks. I guess i'd go Penny Alivadka. Yeah,

1498
01:32:50,400 --> 01:32:54,519
Speaker 1: maybe some tortellini. All right now, I really am getting hungry.

1499
01:32:54,600 --> 01:32:59,960
Speaker 1: D Buck. My husband and I met you on July four,

1500
01:33:00,240 --> 01:33:05,120
Speaker 1: twenty nineteen at the Trump International Hotel Cool. We live

1501
01:33:05,120 --> 01:33:07,120
Speaker 1: in Mississippi. We listen to you on the radio today.

1502
01:33:07,120 --> 01:33:08,920
Speaker 1: You said that there aren't enough people standing up for

1503
01:33:08,960 --> 01:33:11,559
Speaker 1: what is right. I'm ready. Please give us some insight

1504
01:33:11,640 --> 01:33:13,760
Speaker 1: on how we need to start. Should we start having

1505
01:33:13,760 --> 01:33:17,080
Speaker 1: peaceful protests locally and try to build from there. We

1506
01:33:17,120 --> 01:33:19,360
Speaker 1: are ready to stand up for America. I think that's

1507
01:33:19,600 --> 01:33:22,080
Speaker 1: what we will call our group. We still need some

1508
01:33:22,120 --> 01:33:24,400
Speaker 1: advice from you. D I think you got, first of all,

1509
01:33:24,479 --> 01:33:26,719
Speaker 1: very lovely meeting you in the husband and yes, indeed

1510
01:33:26,760 --> 01:33:29,080
Speaker 1: I was on July fourth, twenty nineteen at the Trump

1511
01:33:29,200 --> 01:33:32,439
Speaker 1: Hotel in DC, so that is accurate. That is true.

1512
01:33:33,360 --> 01:33:37,600
Speaker 1: And as for how to get going and how to mobilize,

1513
01:33:37,720 --> 01:33:39,519
Speaker 1: I think that you're on the right track. I think

1514
01:33:39,520 --> 01:33:42,519
Speaker 1: that you've pretty much got it. Do as you were

1515
01:33:42,520 --> 01:33:45,720
Speaker 1: planning on doing here, get up and running on it,

1516
01:33:45,760 --> 01:33:51,240
Speaker 1: you know, just do your thing. Local organizations very important.

1517
01:33:51,240 --> 01:33:53,920
Speaker 1: With social media, there's a lot of reach and power

1518
01:33:53,960 --> 01:33:56,439
Speaker 1: that you can have, especially if the movement, you know,

1519
01:33:56,560 --> 01:34:01,000
Speaker 1: if you are on message and people seeing like they're

1520
01:34:01,000 --> 01:34:03,240
Speaker 1: both energized. But also think of the way that we

1521
01:34:03,280 --> 01:34:09,719
Speaker 1: could have such a differentiation between conservative mobilization, Republican Party

1522
01:34:09,760 --> 01:34:14,320
Speaker 1: people voting for Trump, and how we would have orderly, safe,

1523
01:34:14,880 --> 01:34:22,760
Speaker 1: respectful protest or respectful demonstrations versus the anarchy, absurdity and

1524
01:34:22,760 --> 01:34:27,040
Speaker 1: a viciousness of these lib protesters who are out there.

1525
01:34:27,360 --> 01:34:31,600
Speaker 1: So there you go. Yeah, I think d that's the

1526
01:34:31,600 --> 01:34:33,439
Speaker 1: way to do it, and I think your instincts are

1527
01:34:33,439 --> 01:34:35,320
Speaker 1: spot on. I would just go for it. And to

1528
01:34:35,439 --> 01:34:40,120
Speaker 1: say hi to the hubs for me, shield Tie Toby Buck,

1529
01:34:40,200 --> 01:34:43,000
Speaker 1: I am crushed upon hearing about Jay Severn. I'm a

1530
01:34:43,040 --> 01:34:46,439
Speaker 1: fan from Boston and he introduced me to conservative talk

1531
01:34:46,560 --> 01:34:49,479
Speaker 1: radio when he had the afternoon show. Even a liberal Boston.

1532
01:34:49,520 --> 01:34:53,040
Speaker 1: He was a giant. Very saddened and Toby, I totally

1533
01:34:53,080 --> 01:34:56,519
Speaker 1: appreciate and understand that Jay Severn was. He was a

1534
01:34:56,560 --> 01:34:59,920
Speaker 1: real radio host. And I mean that in I think

1535
01:35:00,040 --> 01:35:01,640
Speaker 1: he would know that too. I mean that as a

1536
01:35:01,720 --> 01:35:04,160
Speaker 1: term of real respect. You know, he was. He was

1537
01:35:04,200 --> 01:35:07,559
Speaker 1: the real deal. He wasn't somebody that just uh, you know,

1538
01:35:07,840 --> 01:35:10,840
Speaker 1: was able to play the corporate game and you know,

1539
01:35:10,920 --> 01:35:13,479
Speaker 1: have a lot of guests on or hang on to

1540
01:35:13,600 --> 01:35:17,120
Speaker 1: somebody else's coattails to get a radio show. Uh, and

1541
01:35:17,160 --> 01:35:20,240
Speaker 1: you know, get on get on stations. I mean, he

1542
01:35:20,240 --> 01:35:22,880
Speaker 1: he's really good. He was good at radio. He was

1543
01:35:22,920 --> 01:35:26,320
Speaker 1: talented at that medium and was a guy who did

1544
01:35:26,360 --> 01:35:29,599
Speaker 1: his own thinking. And look, I know that he had

1545
01:35:29,600 --> 01:35:31,880
Speaker 1: he got into some hot water here and there for

1546
01:35:31,920 --> 01:35:35,080
Speaker 1: what he said. Um, but that's because he was a

1547
01:35:35,080 --> 01:35:36,880
Speaker 1: guy who was pushing it along the edge and that

1548
01:35:36,920 --> 01:35:42,439
Speaker 1: makes for interesting radio. And I always appreciated he. We

1549
01:35:42,439 --> 01:35:45,120
Speaker 1: weren't close or anything like that, but I could speak

1550
01:35:45,120 --> 01:35:47,360
Speaker 1: to him about the business and especially it was very

1551
01:35:47,360 --> 01:35:51,360
Speaker 1: early for me and he, and there was a respect

1552
01:35:51,400 --> 01:35:54,559
Speaker 1: between us whenever we talked about this because he knew

1553
01:35:54,680 --> 01:35:56,559
Speaker 1: right away and said that I was. I was a

1554
01:35:56,560 --> 01:35:59,880
Speaker 1: real radio guy. And he recognized that and said that

1555
01:35:59,920 --> 01:36:01,639
Speaker 1: you're gonna have a very You're gonna have a very

1556
01:36:01,640 --> 01:36:03,920
Speaker 1: big career if you keep doing this. And Jay was

1557
01:36:03,960 --> 01:36:06,479
Speaker 1: not a warm and fuzzy kind of a guy, but

1558
01:36:06,560 --> 01:36:09,040
Speaker 1: he you know, game respects game kind of a thing.

1559
01:36:09,600 --> 01:36:11,960
Speaker 1: And I always listened to Jay as somebody who I knew.

1560
01:36:12,000 --> 01:36:13,400
Speaker 1: The only reason this guy had a radio show is

1561
01:36:13,400 --> 01:36:17,760
Speaker 1: because he was good at this. That's not true about everybody. Um,

1562
01:36:18,680 --> 01:36:24,680
Speaker 1: let's see here, James Buck. Anyway, I also pardon me,

1563
01:36:24,720 --> 01:36:27,240
Speaker 1: just to finish off with with Severn. Um, you know,

1564
01:36:27,360 --> 01:36:30,120
Speaker 1: thoughts and prayers to his family, and it was it

1565
01:36:30,200 --> 01:36:33,439
Speaker 1: was said, look, we've lost. It wasn't even planning going here.

1566
01:36:33,439 --> 01:36:37,760
Speaker 1: We've lost Jay Severn this year from the you know,

1567
01:36:37,800 --> 01:36:39,960
Speaker 1: the world of media that I've operated in. Someone that

1568
01:36:40,000 --> 01:36:44,519
Speaker 1: was a colleague of mine. We lost Doc Thompson a

1569
01:36:44,800 --> 01:36:49,439
Speaker 1: terrible accident. You know, it's we've lost. Those are two

1570
01:36:49,479 --> 01:36:51,439
Speaker 1: guys I worked with at the Blaze, and they were

1571
01:36:51,479 --> 01:36:58,240
Speaker 1: taken way before their time. So make everyday count, folks,

1572
01:36:58,680 --> 01:37:02,000
Speaker 1: Make everyday count. I know it's maybe trite to say,

1573
01:37:02,640 --> 01:37:08,160
Speaker 1: tried to hear, but it's still true. James Buck. I

1574
01:37:08,200 --> 01:37:10,479
Speaker 1: don't know if you've talked about this. Now, we are

1575
01:37:10,560 --> 01:37:13,360
Speaker 1: being more or even more forced to wear a mask

1576
01:37:14,080 --> 01:37:16,160
Speaker 1: at stores. If you don't in all of New York State,

1577
01:37:16,200 --> 01:37:18,680
Speaker 1: you can get a thousand dollars fine, and stores will

1578
01:37:18,680 --> 01:37:21,320
Speaker 1: get a two thousand dollars fine. Cops can get called

1579
01:37:21,400 --> 01:37:24,120
Speaker 1: on you. To me, this is unconstitutional and in my

1580
01:37:24,240 --> 01:37:27,599
Speaker 1: view illegal, with the fine, they are wasting or our

1581
01:37:27,640 --> 01:37:30,920
Speaker 1: emergency resources to arrest maskless people. She'll tie from w

1582
01:37:31,160 --> 01:37:35,200
Speaker 1: G y up in Albany, James, New York is going nuts. Man,

1583
01:37:36,200 --> 01:37:39,439
Speaker 1: we made COVID basically is not a problem in New

1584
01:37:39,479 --> 01:37:43,080
Speaker 1: York anymore. This is not I mean there's like very

1585
01:37:43,120 --> 01:37:45,240
Speaker 1: few cases. No one's dying from it, really, I mean

1586
01:37:45,280 --> 01:37:47,160
Speaker 1: maybe a half dozen people a day, which is sad

1587
01:37:47,200 --> 01:37:50,400
Speaker 1: for every case is a tragedy. But you know, hundreds

1588
01:37:50,400 --> 01:37:52,720
Speaker 1: of people are dying from cancer, hundreds of people are

1589
01:37:52,760 --> 01:37:54,720
Speaker 1: dying from heart to use every single day. I mean,

1590
01:37:54,720 --> 01:38:02,400
Speaker 1: people die from things that happens. And the mask mandates

1591
01:38:02,400 --> 01:38:08,479
Speaker 1: are only going to get more extreme. And uh, fights

1592
01:38:08,479 --> 01:38:10,519
Speaker 1: that we see we didn't play. There was this guy

1593
01:38:11,479 --> 01:38:14,080
Speaker 1: who is this great who was approached by two I

1594
01:38:14,080 --> 01:38:16,360
Speaker 1: should have pretty sermark. Can we find I'll play. I

1595
01:38:16,400 --> 01:38:17,760
Speaker 1: know it's late, but I want to use it tomorrow.

1596
01:38:17,760 --> 01:38:19,000
Speaker 1: We got to clean it up though, because there's a

1597
01:38:19,040 --> 01:38:21,080
Speaker 1: little bit of curses. But the guy who's is he

1598
01:38:21,120 --> 01:38:23,880
Speaker 1: in a costco and a woman comes up to him

1599
01:38:23,920 --> 01:38:25,760
Speaker 1: and she's like, you aren't wearing a mask? You know,

1600
01:38:26,680 --> 01:38:29,920
Speaker 1: why are you just back off like I'm just you know, oh,

1601
01:38:29,920 --> 01:38:32,280
Speaker 1: look getting up in my faith of the whole you

1602
01:38:32,320 --> 01:38:34,200
Speaker 1: know what I'm talking about. Yeah, I think we played

1603
01:38:34,200 --> 01:38:37,200
Speaker 1: that last week, did we. Yeah, the guy who's yelling

1604
01:38:38,600 --> 01:38:41,400
Speaker 1: I'm threatened or something like that. No, no, no, no,

1605
01:38:41,640 --> 01:38:44,599
Speaker 1: the very no no nos a hot spot for this lately.

1606
01:38:45,360 --> 01:38:47,240
Speaker 1: No no, no no that that guy just lost his mind

1607
01:38:47,240 --> 01:38:49,519
Speaker 1: on somebody was screaming. This guy was like, oh, look

1608
01:38:49,520 --> 01:38:51,759
Speaker 1: at you, trying to get a little bit, a little

1609
01:38:51,760 --> 01:38:54,400
Speaker 1: bit of video. He's got like jean shorts on, a

1610
01:38:54,439 --> 01:38:57,880
Speaker 1: tucked in T shirt, trucker hat. This guy's great. This

1611
01:38:58,000 --> 01:39:00,760
Speaker 1: guy I would be buddies. He's hilarious. There's two women

1612
01:39:00,880 --> 01:39:02,800
Speaker 1: or videotapium because he's in a store without a mask,

1613
01:39:02,840 --> 01:39:05,479
Speaker 1: and he's like, why don't you just mind your own business,

1614
01:39:05,560 --> 01:39:07,800
Speaker 1: and they're all just like, yeah, I'm taking video. I'll

1615
01:39:07,800 --> 01:39:09,880
Speaker 1: find it. I'll said it to you. It's great, it's great.

1616
01:39:10,000 --> 01:39:12,880
Speaker 1: I really like this guy. He's he's just funny, like

1617
01:39:12,960 --> 01:39:14,760
Speaker 1: he just makes a joke out of it because they're

1618
01:39:14,760 --> 01:39:16,479
Speaker 1: really trying to antagonize him, and he's just like, what

1619
01:39:16,520 --> 01:39:18,640
Speaker 1: are you doing? You know what? The chances are that

1620
01:39:18,640 --> 01:39:21,519
Speaker 1: they're antagonizing a guy who doesn't have a virus, who

1621
01:39:21,520 --> 01:39:23,760
Speaker 1: has nothing to spread to anybody. It's about ninety nine.

1622
01:39:26,400 --> 01:39:28,760
Speaker 1: That's how insane people are. Now. Oh, if there's any

1623
01:39:28,840 --> 01:39:35,200
Speaker 1: chance at all of you know, somebody having um, you know,

1624
01:39:35,800 --> 01:39:38,879
Speaker 1: it just drives me nuts. It's really interesting advertising strategy

1625
01:39:38,920 --> 01:39:42,640
Speaker 1: by Costco there. They keep sending in people without a

1626
01:39:42,640 --> 01:39:46,479
Speaker 1: masks so they get videotaped in Costcos. It's not sure

1627
01:39:46,560 --> 01:39:48,840
Speaker 1: that's necessarily the kind of it's definitely not the truth.

1628
01:39:48,880 --> 01:39:52,599
Speaker 1: But if it wasn't, I know what you're saying, I'll

1629
01:39:52,680 --> 01:39:54,360
Speaker 1: get you. Yeah, this mask thing is going to be.

1630
01:39:55,280 --> 01:39:58,000
Speaker 1: This is going to continue on and look were really

1631
01:39:58,000 --> 01:40:00,800
Speaker 1: what we really need is we need to run experiments

1632
01:40:01,479 --> 01:40:03,800
Speaker 1: with people wearing masks, and you know, we have to

1633
01:40:03,840 --> 01:40:06,559
Speaker 1: do this. We're gon we're gonna have to run some

1634
01:40:06,560 --> 01:40:12,160
Speaker 1: some true, controlled, gold standard mask experiments and I will

1635
01:40:12,240 --> 01:40:15,360
Speaker 1: bet money that they will find out if and when

1636
01:40:15,360 --> 01:40:16,800
Speaker 1: they no. But they're going to try not to do

1637
01:40:16,840 --> 01:40:20,280
Speaker 1: this because think of what that would mean for the

1638
01:40:20,320 --> 01:40:23,639
Speaker 1: global health community and all the experts. We've we've been

1639
01:40:23,640 --> 01:40:26,920
Speaker 1: masking people thinking that it protects. It's one thing, you know, Yeah,

1640
01:40:26,960 --> 01:40:29,120
Speaker 1: it prevents you from spitting on somebody if you're up close.

1641
01:40:29,240 --> 01:40:32,200
Speaker 1: If a doctor is going to be examining you. You know,

1642
01:40:32,240 --> 01:40:34,280
Speaker 1: you don't have their breath directly on you. So there's

1643
01:40:34,320 --> 01:40:37,200
Speaker 1: some just sort of general hygiene field, dude, But in

1644
01:40:37,280 --> 01:40:42,439
Speaker 1: terms of preventing viral spread of respiratory droplets that spread virus,

1645
01:40:43,160 --> 01:40:46,400
Speaker 1: I look, I'm I would be fascinated to see a

1646
01:40:46,560 --> 01:40:49,120
Speaker 1: real study or you have Okay, let's have a bunch

1647
01:40:49,120 --> 01:40:50,759
Speaker 1: of people in a room for an hour with somebody

1648
01:40:50,760 --> 01:40:55,880
Speaker 1: who has COVID, and you know, you have a bunch

1649
01:40:55,920 --> 01:40:57,960
Speaker 1: of volunteers who are in there. Everyone's wearing masks, and

1650
01:40:58,000 --> 01:40:59,800
Speaker 1: they're all in a room together for an hour, and like,

1651
01:40:59,840 --> 01:41:01,160
Speaker 1: how many of them get it and how many of

1652
01:41:01,160 --> 01:41:02,840
Speaker 1: them don't? I mean, I don't know how you'd even

1653
01:41:02,880 --> 01:41:05,600
Speaker 1: construct the experiment so that it would be definitive, but

1654
01:41:05,640 --> 01:41:10,720
Speaker 1: get as close to it as possible. That's that's what

1655
01:41:10,760 --> 01:41:13,439
Speaker 1: I would want to see, because I just if it

1656
01:41:13,520 --> 01:41:15,559
Speaker 1: was just as easy as wearing masks, we wouldn't have,

1657
01:41:15,600 --> 01:41:17,559
Speaker 1: you know, the problem, we wouldn't have this problem. People

1658
01:41:17,600 --> 01:41:25,000
Speaker 1: have been wearing masks four months, for months still, hundreds

1659
01:41:25,040 --> 01:41:31,120
Speaker 1: of thousands of cases all the time. Anyway, I just

1660
01:41:34,160 --> 01:41:36,200
Speaker 1: I wish, I wish it were as simple as just

1661
01:41:36,800 --> 01:41:45,760
Speaker 1: browbeat those evil Republicans into wearing masks, Dave, Dude, I'm

1662
01:41:45,800 --> 01:41:48,639
Speaker 1: an observer on Facebook for the most part. Love seeing

1663
01:41:48,680 --> 01:41:53,160
Speaker 1: people's kids, picks, family vacation, etc. God forbid you try

1664
01:41:53,200 --> 01:41:56,040
Speaker 1: to be nice and respond to anything political. People freak out.

1665
01:41:56,400 --> 01:41:58,160
Speaker 1: I have no idea how you do what you do.

1666
01:41:58,360 --> 01:42:01,400
Speaker 1: You have much thicker skin than I do. My friend, Dave,

1667
01:42:01,840 --> 01:42:04,000
Speaker 1: you will freak out of me all the time. The

1668
01:42:04,080 --> 01:42:06,640
Speaker 1: thing is, and even who freaks out is inherently an

1669
01:42:06,680 --> 01:42:09,960
Speaker 1: unstable loser. And you just you learned it very quickly.

1670
01:42:10,000 --> 01:42:13,400
Speaker 1: You're like, what is wrong with people? You know what

1671
01:42:13,600 --> 01:42:19,479
Speaker 1: is wrong with them? So there's that you just got.

1672
01:42:19,520 --> 01:42:21,160
Speaker 1: You Just gotta roll with it, man, just gotta roll

1673
01:42:21,200 --> 01:42:26,280
Speaker 1: with it. You're in the freedom. Huh. This is the

1674
01:42:26,400 --> 01:42:33,280
Speaker 1: Buck Sexton Show podcast. All right, more roll called John.

1675
01:42:34,840 --> 01:42:37,320
Speaker 1: Listen to your Friday night show right now on podcast.

1676
01:42:38,320 --> 01:42:40,240
Speaker 1: Heard your response to Frank at the end. Heard you

1677
01:42:40,280 --> 01:42:43,200
Speaker 1: mention getting a PS four and hopping on some call

1678
01:42:43,240 --> 01:42:46,160
Speaker 1: of duty. Man. I haven't been out of work due

1679
01:42:46,160 --> 01:42:49,840
Speaker 1: to COVID because I work in water distribution. However, my

1680
01:42:49,920 --> 01:42:53,240
Speaker 1: job has had me quarantine to home outside of work

1681
01:42:53,280 --> 01:42:55,240
Speaker 1: hours to ensure we don't bring it in the rest

1682
01:42:55,240 --> 01:42:58,479
Speaker 1: of the staff, minus working out or binge watching movies

1683
01:42:58,479 --> 01:43:01,160
Speaker 1: and TV with my wife. My life has been bourbon

1684
01:43:01,280 --> 01:43:04,439
Speaker 1: and Call of Duty. If you do, indeed get a

1685
01:43:04,439 --> 01:43:06,200
Speaker 1: PS four and hop off for Call of Duty, give

1686
01:43:06,240 --> 01:43:09,000
Speaker 1: me a holler. We can start a Freedom Hutshields High team,

1687
01:43:09,280 --> 01:43:11,920
Speaker 1: keep up the good fight and God bless John. This

1688
01:43:12,000 --> 01:43:13,960
Speaker 1: may have to happen. I kind of like this idea

1689
01:43:14,000 --> 01:43:15,960
Speaker 1: we started. We start a team freedom hunt on Call

1690
01:43:16,000 --> 01:43:17,960
Speaker 1: of Duty and I'll play, and we could all talk

1691
01:43:18,000 --> 01:43:19,880
Speaker 1: and play Call of Duty together with whoever wants to

1692
01:43:19,880 --> 01:43:22,200
Speaker 1: show up and do it. That producer mark, do you

1693
01:43:22,240 --> 01:43:25,000
Speaker 1: ever do Call of Duty? I've dabbled, but not as

1694
01:43:25,120 --> 01:43:28,160
Speaker 1: much as some of the more extreams do. I played.

1695
01:43:28,200 --> 01:43:30,240
Speaker 1: My older brother and I were playing together of the weekend.

1696
01:43:30,240 --> 01:43:33,960
Speaker 1: We had a lot of fun, and I am getting

1697
01:43:34,080 --> 01:43:37,400
Speaker 1: less terrible at it. I'm a I'm sort of freakishly

1698
01:43:37,520 --> 01:43:41,439
Speaker 1: good at the FIFA soccer game, like I have a

1699
01:43:41,439 --> 01:43:44,439
Speaker 1: lot of ability there for whatever reason, well because I've

1700
01:43:44,439 --> 01:43:47,240
Speaker 1: played it a lot in my youth and I just

1701
01:43:47,320 --> 01:43:49,640
Speaker 1: understand soccer well, which I shouldn't admix. It makes me

1702
01:43:49,680 --> 01:43:54,200
Speaker 1: sound less American. But Call of Duty, man, these guys

1703
01:43:54,320 --> 01:43:57,599
Speaker 1: people are really fast with those controls. I just gotta

1704
01:43:57,600 --> 01:43:59,400
Speaker 1: say they're very good. That's why I don't play any

1705
01:43:59,439 --> 01:44:02,280
Speaker 1: of the shooter aims often is because I'm so bad

1706
01:44:02,360 --> 01:44:05,479
Speaker 1: at them in comparison to everyone else. Yeah. I also

1707
01:44:05,600 --> 01:44:10,519
Speaker 1: sometimes I get I shouldn't admit this on the radio,

1708
01:44:10,800 --> 01:44:14,520
Speaker 1: but I'm the guy that someone will sneak up behind

1709
01:44:15,360 --> 01:44:17,639
Speaker 1: when I have a fully automatic weapon and they have

1710
01:44:17,720 --> 01:44:21,160
Speaker 1: a knife, and they will knife me, and then they'll

1711
01:44:21,200 --> 01:44:24,240
Speaker 1: squat on my corpse and I'll hear someone screaming over

1712
01:44:24,280 --> 01:44:28,920
Speaker 1: their headset. That's right, Neube, that's right. Most like, why

1713
01:44:28,960 --> 01:44:31,280
Speaker 1: do you have to be so mean? You already stuck

1714
01:44:31,320 --> 01:44:35,719
Speaker 1: a knife in me from behind? That's what ends up happening.

1715
01:44:36,439 --> 01:44:38,840
Speaker 1: Mark rights Buck, please explain on your show why a

1716
01:44:38,840 --> 01:44:41,080
Speaker 1: governor can declare a state of emergency and why they

1717
01:44:41,080 --> 01:44:43,519
Speaker 1: appear to have no limits on their power during this

1718
01:44:43,640 --> 01:44:47,559
Speaker 1: time period with no expiration date in sight. Why are

1719
01:44:47,640 --> 01:44:51,760
Speaker 1: our Republican state legislators not fighting back anywhere? Why our

1720
01:44:51,800 --> 01:44:54,439
Speaker 1: business is not pooling money to sue. Why are these

1721
01:44:54,439 --> 01:44:56,920
Speaker 1: powers not being challenged in the courts. Why is there

1722
01:44:56,960 --> 01:44:59,360
Speaker 1: not a tsunami of lawsuits across the country finding these

1723
01:44:59,479 --> 01:45:02,559
Speaker 1: arbitrary hours. How can how long can a government governor

1724
01:45:02,600 --> 01:45:05,240
Speaker 1: maintain these emergency powers? Because to me, it seems the

1725
01:45:05,240 --> 01:45:09,240
Speaker 1: answer is forever. Mark, you are absolutely correct. It does

1726
01:45:09,280 --> 01:45:11,280
Speaker 1: seem like it's forever. It seems like it's at their

1727
01:45:11,320 --> 01:45:15,799
Speaker 1: whim and there's no stopping this, and it's just absurd.

1728
01:45:16,439 --> 01:45:22,400
Speaker 1: It is just it's just I don't know, Dio Jane.

1729
01:45:22,400 --> 01:45:25,639
Speaker 1: He's to start suing. We need we need some legal

1730
01:45:25,680 --> 01:45:29,240
Speaker 1: pushback on this against the states. They're out of control.

1731
01:45:30,479 --> 01:45:36,040
Speaker 1: So it's nuts, Brent, right, San, I hope you and

1732
01:45:36,080 --> 01:45:38,599
Speaker 1: Mark get a laugh out of this. My gym Crunch

1733
01:45:38,880 --> 01:45:41,519
Speaker 1: Fitness in Ohio is making us wear masks when we

1734
01:45:41,600 --> 01:45:44,160
Speaker 1: walk in and as we walk around from equipment to

1735
01:45:44,200 --> 01:45:47,760
Speaker 1: equipment aka about five minutes of my workout. The other

1736
01:45:47,800 --> 01:45:51,320
Speaker 1: hour plus of my workout, I'm allowed to spread all

1737
01:45:51,479 --> 01:45:57,000
Speaker 1: the germs I want. Follow the science. Yeah, man, this

1738
01:45:57,120 --> 01:46:01,160
Speaker 1: is just it's just nonsense. What people say, just nonsense.

1739
01:46:01,520 --> 01:46:03,439
Speaker 1: What's going on with a lot of these restrictions to

1740
01:46:03,560 --> 01:46:08,360
Speaker 1: just counter it's counterintuitive, it's irrational, it's irrational. You don't

1741
01:46:08,360 --> 01:46:10,080
Speaker 1: have to be an expert to know when something's irrational.

1742
01:46:10,120 --> 01:46:11,680
Speaker 1: You just have to be a smart person who's not

1743
01:46:11,720 --> 01:46:14,800
Speaker 1: afraid of the truth and knowing the truth. Well, that's

1744
01:46:14,840 --> 01:46:16,439
Speaker 1: why you're here in the Hut, my friends, because you

1745
01:46:16,479 --> 01:46:17,960
Speaker 1: know we are not afraid of it. In fact, we

1746
01:46:18,080 --> 01:46:19,880
Speaker 1: chase down that truth. We say truth. I want to

1747
01:46:19,880 --> 01:46:24,040
Speaker 1: be friends, Be my friend Truth. Thanks for hanging out.

1748
01:46:24,040 --> 01:46:26,280
Speaker 1: As always, pass the buck speaking of friends to some

1749
01:46:26,320 --> 01:46:28,200
Speaker 1: of your friends. We'll be back tomorrow, Mark and I

1750
01:46:28,280 --> 01:46:31,280
Speaker 1: with a fantastic show for all of you. As always,

1751
01:46:31,360 --> 01:46:33,840
Speaker 1: here in the Freedom Hut. No matter what we face,

1752
01:46:33,920 --> 01:46:36,560
Speaker 1: we face it together, shields high,