1
00:00:00,080 --> 00:00:03,320
Speaker 1: Welcome to today's edition of the Clay Travis and Buck

2
00:00:03,360 --> 00:00:09,480
Speaker 1: Sexton Show podcast. Welcome in Monday edition Clay Travis Buck

3
00:00:09,560 --> 00:00:13,760
Speaker 1: Sexton Show. I hope all of you had fantastic weekends.

4
00:00:14,560 --> 00:00:17,880
Speaker 1: I did. NFL playoffs are set, we got the National

5
00:00:18,000 --> 00:00:21,840
Speaker 1: Championship game between Alabama and Georgia. To night's football heaven

6
00:00:21,920 --> 00:00:24,599
Speaker 1: for those of us out there who love football. It's

7
00:00:24,720 --> 00:00:32,880
Speaker 1: also Buck Sexton the Dark Ages for the Biden COVID regime.

8
00:00:33,640 --> 00:00:39,440
Speaker 1: Everything it feels like is falling apart for them, as

9
00:00:39,479 --> 00:00:44,080
Speaker 1: it pertains to the overall narrative of Joe Biden's entire

10
00:00:44,200 --> 00:00:48,639
Speaker 1: twenty twenty presidential campaign. He said, I'm gonna shut down

11
00:00:48,720 --> 00:00:52,479
Speaker 1: the virus. I'm not gonna shut down the economy, and

12
00:00:52,640 --> 00:00:57,480
Speaker 1: the virus is surging, and it feels like to me, Buck,

13
00:00:57,480 --> 00:01:00,320
Speaker 1: and I'm curious if you got this sense too. Ever,

14
00:01:00,360 --> 00:01:03,600
Speaker 1: since the Supreme Court arguments on Friday, which we talked

15
00:01:03,640 --> 00:01:07,200
Speaker 1: a lot about over the COVID vaccine mandate, that Biden

16
00:01:07,319 --> 00:01:11,040
Speaker 1: has lost control. Finally of the narrative, We've got a

17
00:01:11,080 --> 00:01:14,240
Speaker 1: couple eclips of Rochelle Willinski, the CDC director, that I'm

18
00:01:14,240 --> 00:01:16,440
Speaker 1: gonna get to in a moment but Buck, you're in

19
00:01:16,440 --> 00:01:19,279
Speaker 1: New York City, the place with basically the highest COVID

20
00:01:19,400 --> 00:01:23,720
Speaker 1: rate of infection once more, two years later, effectively after

21
00:01:23,800 --> 00:01:27,080
Speaker 1: March of twenty twenty. What is the vibe on the ground.

22
00:01:27,160 --> 00:01:30,119
Speaker 1: And do you also have the sense that I do

23
00:01:30,319 --> 00:01:33,760
Speaker 1: coming out of this weekend that basically the Biden White

24
00:01:33,760 --> 00:01:37,560
Speaker 1: House has just finally lost control of the COVID narrative

25
00:01:37,600 --> 00:01:40,560
Speaker 1: that they're trying to sell to the American public. The

26
00:01:40,680 --> 00:01:44,000
Speaker 1: narrative is in freefall. It's I mean to say it's

27
00:01:44,040 --> 00:01:47,480
Speaker 1: collapsing is one thing. I think it's actually going in

28
00:01:47,480 --> 00:01:50,160
Speaker 1: the other direction too. It's not just that people are

29
00:01:50,200 --> 00:01:55,040
Speaker 1: ceasing to believe a lot of what the established consensus

30
00:01:55,080 --> 00:01:58,040
Speaker 1: storyline is. They're saying they're starting to finally and I

31
00:01:58,080 --> 00:02:00,240
Speaker 1: think this is a good thing. Say wait a second,

32
00:02:00,320 --> 00:02:03,520
Speaker 1: how long have they been wrong about this? Why should

33
00:02:03,600 --> 00:02:07,240
Speaker 1: we trust this narrative going forward? Why should the apparatus

34
00:02:07,320 --> 00:02:09,720
Speaker 1: have so much control over our lives? Clay, it was

35
00:02:09,800 --> 00:02:13,160
Speaker 1: just bombshell after bombshell the last a few days with

36
00:02:13,240 --> 00:02:15,400
Speaker 1: what's being said, Because first of all, let's just all

37
00:02:15,400 --> 00:02:18,120
Speaker 1: take a step back. We've had this enormous fight over

38
00:02:18,200 --> 00:02:21,239
Speaker 1: mandates and in New York City. They implemented it the

39
00:02:21,280 --> 00:02:24,320
Speaker 1: federal government. Just to remind everybody is supposed to start,

40
00:02:24,360 --> 00:02:28,040
Speaker 1: I believe today the initial phase, although it's really a

41
00:02:28,080 --> 00:02:31,400
Speaker 1: phased in process of the ocean mandate. Right. That's why

42
00:02:31,440 --> 00:02:33,440
Speaker 1: we had the Supreme Court oral arguments, and this is

43
00:02:33,480 --> 00:02:36,320
Speaker 1: why there's the urgency of whether it be a stay.

44
00:02:36,440 --> 00:02:39,280
Speaker 1: So you're in the phase now where technically the federal

45
00:02:39,360 --> 00:02:42,400
Speaker 1: government is supposed to be forcing these shots into people's

46
00:02:42,520 --> 00:02:44,679
Speaker 1: arms or they can get a test every week and

47
00:02:44,760 --> 00:02:46,800
Speaker 1: be harassed forever and be masked up and you know,

48
00:02:46,960 --> 00:02:50,400
Speaker 1: or get fired. Right, that's where we are Clay. Up

49
00:02:50,440 --> 00:02:54,480
Speaker 1: to forty percent of COVID patients, according to Rochelle will

50
00:02:54,520 --> 00:02:58,080
Speaker 1: Lenski in the CDC in the hospital may be there

51
00:02:58,120 --> 00:03:00,400
Speaker 1: for other reasons. I mean, I know they have this audio,

52
00:03:00,440 --> 00:03:04,000
Speaker 1: but the numbers now are telling us what we've been

53
00:03:04,000 --> 00:03:07,560
Speaker 1: saying along, which is COVID is dangerous to a small

54
00:03:07,639 --> 00:03:11,680
Speaker 1: percentage of the overall US population. The vaccines do not

55
00:03:11,919 --> 00:03:14,360
Speaker 1: stop the spread. They've had to admit that. I mean,

56
00:03:14,360 --> 00:03:17,200
Speaker 1: that's obvious now. They do not stop the spread, and

57
00:03:17,240 --> 00:03:20,919
Speaker 1: they might be dramatically overcounting. The CDC might be dramatically

58
00:03:20,960 --> 00:03:26,040
Speaker 1: overcounting hospitalizations and debts. Yes, and we're gonna play a

59
00:03:26,040 --> 00:03:28,960
Speaker 1: couple of these clips for you. I also there's a

60
00:03:29,080 --> 00:03:31,880
Speaker 1: great editorial I shared it. We're going to talk about

61
00:03:31,880 --> 00:03:34,440
Speaker 1: this too, because I think it ties in to this

62
00:03:34,600 --> 00:03:39,840
Speaker 1: overall crumbling foundation of the Biden COVID narrative on the

63
00:03:39,840 --> 00:03:43,800
Speaker 1: opinion page of the Wall Street Journal. Omicron makes Biden's

64
00:03:43,880 --> 00:03:46,960
Speaker 1: mandates obsolete. If you want to do a little reading

65
00:03:47,040 --> 00:03:49,839
Speaker 1: during a commercial break here and a little bit, we're

66
00:03:49,840 --> 00:03:52,400
Speaker 1: going to talk about that piece, which is written, by

67
00:03:52,400 --> 00:03:57,640
Speaker 1: the way, by a Nobel Prize winning physician, so it's

68
00:03:57,720 --> 00:04:01,680
Speaker 1: kind of a significant significant person to be writing that story.

69
00:04:01,720 --> 00:04:05,880
Speaker 1: But first, Rochelle will Lyinsky, it seems to me to

70
00:04:05,920 --> 00:04:11,240
Speaker 1: some extent, has been deputized as the official sudden truthteller.

71
00:04:11,320 --> 00:04:14,440
Speaker 1: Now she's not sharing data that you and I buck

72
00:04:14,480 --> 00:04:17,719
Speaker 1: haven't been talking about for a long time. But what's

73
00:04:17,839 --> 00:04:22,440
Speaker 1: landing here is this data is blowing people away, and

74
00:04:22,520 --> 00:04:26,400
Speaker 1: it's also making people realize stop and say, wait a minute,

75
00:04:27,040 --> 00:04:31,040
Speaker 1: why have we not known about this before? And what

76
00:04:31,200 --> 00:04:33,080
Speaker 1: else are they not telling us? Now, there are a

77
00:04:33,080 --> 00:04:36,240
Speaker 1: couple of different clips that I want to play here Friday.

78
00:04:36,400 --> 00:04:39,800
Speaker 1: Rochelle will Lyinsky went on Good Morning America and she

79
00:04:40,040 --> 00:04:43,400
Speaker 1: said that what we've talked about for a long time

80
00:04:43,680 --> 00:04:47,680
Speaker 1: that the people who are dying with COVID have four

81
00:04:48,040 --> 00:04:53,440
Speaker 1: or more comorbidities. Often listened to cut three of Rochelle

82
00:04:53,480 --> 00:04:57,039
Speaker 1: will Lyinsky, CDC Director Friday on Good Morning America. The

83
00:04:57,080 --> 00:05:01,520
Speaker 1: overwhelming number of debts, over seventy five occurred in people

84
00:05:01,560 --> 00:05:04,960
Speaker 1: who had at least four comorbidities. So really these are

85
00:05:05,200 --> 00:05:09,600
Speaker 1: people who were unwell to begin with. Okay, So this

86
00:05:09,680 --> 00:05:12,279
Speaker 1: is what we've been saying. If you are not well,

87
00:05:12,760 --> 00:05:15,920
Speaker 1: if you have a high level of obesity, you are

88
00:05:16,000 --> 00:05:20,000
Speaker 1: under particular risk from COVID. This has been data that

89
00:05:20,040 --> 00:05:23,240
Speaker 1: the CDC has been unwilling to share with the American

90
00:05:23,320 --> 00:05:26,800
Speaker 1: public on shows like Good Morning America, with people like

91
00:05:26,920 --> 00:05:30,640
Speaker 1: Rochelle Walinsky sharing it. So if you missed that, over

92
00:05:30,760 --> 00:05:34,599
Speaker 1: seventy five percent, she said, of deaths are occurring in

93
00:05:34,640 --> 00:05:38,599
Speaker 1: people with at least four comorbidities, and these people are

94
00:05:38,720 --> 00:05:43,080
Speaker 1: not well, she is saying, okay now. Also, she went

95
00:05:43,160 --> 00:05:48,040
Speaker 1: on Sunday with Brett Baer on Fox News Sunday and

96
00:05:48,120 --> 00:05:52,000
Speaker 1: she was asked directly what percentage of the people that

97
00:05:52,040 --> 00:05:57,799
Speaker 1: are counted as COVID deaths died from COVID, not with COVID.

98
00:05:58,240 --> 00:06:01,400
Speaker 1: Listen to this with I'm a crime, following that very carefully.

99
00:06:01,400 --> 00:06:04,240
Speaker 1: Our death registry, of course takes a few weeks to

100
00:06:05,080 --> 00:06:08,039
Speaker 1: and takes a few weeks to collect, and of course

101
00:06:08,080 --> 00:06:10,360
Speaker 1: Omicron has just been with us for a few weeks.

102
00:06:10,360 --> 00:06:13,839
Speaker 1: But those data will be forthcoming, all right. So really

103
00:06:13,880 --> 00:06:16,720
Speaker 1: the question there is an important part from Brett Bayer too,

104
00:06:16,720 --> 00:06:19,279
Speaker 1: because he says directly, buck, hey, there's eight hundred and

105
00:06:19,320 --> 00:06:22,640
Speaker 1: thirty five thousand deaths that are attributed to COVID, how

106
00:06:22,680 --> 00:06:26,640
Speaker 1: many of those are deaths with COVID? That is, people

107
00:06:26,680 --> 00:06:30,560
Speaker 1: have many different comorbidities, and other words, if you're in hospice,

108
00:06:31,040 --> 00:06:34,919
Speaker 1: and as often unfortunately occurs in a hospice, you die

109
00:06:35,040 --> 00:06:38,200
Speaker 1: not with any one particular cause. You might have pneumonia,

110
00:06:38,240 --> 00:06:40,280
Speaker 1: you might have the flu, you might also have COVID.

111
00:06:40,640 --> 00:06:45,400
Speaker 1: You have many different illnesses oftentimes that are occurring simultaneously,

112
00:06:45,760 --> 00:06:48,640
Speaker 1: but you are on your way to death. Otherwise that

113
00:06:48,640 --> 00:06:51,520
Speaker 1: would be counted as a COVID death. Or memorably, as

114
00:06:51,520 --> 00:06:56,440
Speaker 1: has sometimes happened, if you come in to the hospital

115
00:06:56,520 --> 00:06:59,640
Speaker 1: after getting hit by a bus and you test positive

116
00:06:59,640 --> 00:07:02,120
Speaker 1: for cod you are COVID debt. Okay, So how could

117
00:07:02,120 --> 00:07:06,000
Speaker 1: we have had anything even approaching a rational and reasonable

118
00:07:06,120 --> 00:07:10,240
Speaker 1: policy discussion, Clay, when this CDC is effectively telling us

119
00:07:10,600 --> 00:07:13,000
Speaker 1: the numbers. And remember the numbers are what they used

120
00:07:13,000 --> 00:07:16,080
Speaker 1: to justify everything. There was a time when New York

121
00:07:16,160 --> 00:07:20,120
Speaker 1: City was shutting down schools because of the positivity rate

122
00:07:20,360 --> 00:07:23,760
Speaker 1: of COVID tests, which makes zero sense, right, I mean,

123
00:07:23,800 --> 00:07:26,560
Speaker 1: that's how many people are taking tests. Are asymptomatic? People

124
00:07:26,600 --> 00:07:30,040
Speaker 1: taking tests? Are people They have had the numbers game

125
00:07:30,200 --> 00:07:33,320
Speaker 1: being played this whole time. And now when they say

126
00:07:33,400 --> 00:07:36,240
Speaker 1: things like seventy five percent of COVID deaths are those

127
00:07:36,280 --> 00:07:40,400
Speaker 1: who are essentially at high risk of dying from the

128
00:07:40,440 --> 00:07:45,800
Speaker 1: flu any number of respiratory people with four comorbidities. I mean,

129
00:07:45,800 --> 00:07:49,680
Speaker 1: that's that's statistically someone who is at risk from just

130
00:07:49,760 --> 00:07:51,800
Speaker 1: day to day life. We're all going there, by the way,

131
00:07:51,800 --> 00:07:53,720
Speaker 1: We're all going to be at that point. But when

132
00:07:53,720 --> 00:07:55,320
Speaker 1: I hear us say that, I have to think about

133
00:07:55,400 --> 00:07:58,720
Speaker 1: all the lives, because remember they also tell us everybody

134
00:07:59,040 --> 00:08:01,640
Speaker 1: who is dying almost everybody, I should say, who was

135
00:08:01,720 --> 00:08:04,560
Speaker 1: dying the hospital is unvaccinated. I find that the most

136
00:08:04,560 --> 00:08:06,960
Speaker 1: recent data on that was pretty stunning. It's like point

137
00:08:07,040 --> 00:08:11,680
Speaker 1: zero zero three percent of those dying are vaccinated. So

138
00:08:11,800 --> 00:08:13,360
Speaker 1: they're saying every one of the hospital in the US

139
00:08:13,360 --> 00:08:16,280
Speaker 1: who is dying? I know I find that. I find

140
00:08:16,320 --> 00:08:18,520
Speaker 1: that not but the CDC is saying it. But just

141
00:08:18,800 --> 00:08:20,960
Speaker 1: take that for a moment and pause and just think

142
00:08:21,000 --> 00:08:23,280
Speaker 1: about what that means. Think of all the lives that

143
00:08:23,320 --> 00:08:25,800
Speaker 1: could have been saved if we had gotten ninety nine

144
00:08:25,880 --> 00:08:30,160
Speaker 1: point nine percent of those truly at risk vaccinated instead

145
00:08:30,160 --> 00:08:32,960
Speaker 1: of firing thirty five year old nurses with natural immunity

146
00:08:33,160 --> 00:08:35,120
Speaker 1: and trying to force everyone's ten year old to get

147
00:08:35,160 --> 00:08:38,560
Speaker 1: the shot. Think of the dispersal of resources, the lack

148
00:08:38,600 --> 00:08:43,120
Speaker 1: of trust, the authoritarian overreach that has been created by

149
00:08:43,160 --> 00:08:46,240
Speaker 1: trying to do this and not just mass vaccination, mass

150
00:08:46,320 --> 00:08:50,640
Speaker 1: booster campaign. Now for everybody, people looking around saying, who

151
00:08:50,640 --> 00:08:53,679
Speaker 1: are the morons in charge that think this is actually

152
00:08:53,679 --> 00:08:57,679
Speaker 1: working well? And what this represents to me, Buck is

153
00:08:58,200 --> 00:09:02,959
Speaker 1: the internal polling in the White House on COVID must

154
00:09:03,040 --> 00:09:06,120
Speaker 1: be a disaster right now for Joe Biden, because the

155
00:09:06,160 --> 00:09:09,440
Speaker 1: first thing I say is okay, they're going to now

156
00:09:09,559 --> 00:09:12,920
Speaker 1: start sharing data that frankly, when you and I would

157
00:09:12,920 --> 00:09:15,559
Speaker 1: share it on social media. What would we get told, oh,

158
00:09:15,559 --> 00:09:18,480
Speaker 1: you're trying to kill Grandma's You would sometimes be told, hey,

159
00:09:18,520 --> 00:09:22,040
Speaker 1: you can't share this. It appears to me that big tech,

160
00:09:22,160 --> 00:09:24,760
Speaker 1: and I'm curious if you buy into this, it seems

161
00:09:24,800 --> 00:09:28,800
Speaker 1: like big tech has stopped restricting the spread in many

162
00:09:28,840 --> 00:09:34,080
Speaker 1: ways of critical, critical commentary surrounding COVID all this I got.

163
00:09:34,160 --> 00:09:36,520
Speaker 1: I just got hit my Facebook account. I got diging

164
00:09:36,520 --> 00:09:39,320
Speaker 1: the last twenty four hours for something I said on

165
00:09:39,400 --> 00:09:42,320
Speaker 1: this show, which we then shared at Facebook dot com

166
00:09:42,360 --> 00:09:45,520
Speaker 1: slashblock Sexton. So we're now fighting with them as an untruth.

167
00:09:45,720 --> 00:09:48,920
Speaker 1: They said, like, this is this independent fact checkers. I

168
00:09:49,000 --> 00:09:53,360
Speaker 1: have run circles as have you, around these independent fact

169
00:09:53,440 --> 00:09:57,120
Speaker 1: checkers for months when you look at what is actually true,

170
00:09:57,280 --> 00:10:01,120
Speaker 1: who ends up being right versus who is going along

171
00:10:01,120 --> 00:10:04,640
Speaker 1: with the narrative at the time? Journalism, Big Tech, my friends,

172
00:10:04,679 --> 00:10:08,360
Speaker 1: they have betrayed not only their professions but this country

173
00:10:08,400 --> 00:10:11,080
Speaker 1: over the course of the pandemic by refusing to stand

174
00:10:11,120 --> 00:10:14,559
Speaker 1: for truth, refusing to make sure there's accountability for the

175
00:10:14,880 --> 00:10:18,960
Speaker 1: abomination of a CDC, which is at this point they're

176
00:10:18,960 --> 00:10:21,920
Speaker 1: the worst three letter agency in the federal government, which

177
00:10:21,960 --> 00:10:26,600
Speaker 1: is an astonishing accomplishment and the people who are doing

178
00:10:26,640 --> 00:10:28,800
Speaker 1: these fact checks, well, that's interesting that you just got

179
00:10:28,840 --> 00:10:31,680
Speaker 1: ding because what I have noticed is it seems like

180
00:10:32,400 --> 00:10:36,080
Speaker 1: there now is a willingness to have a debate about

181
00:10:36,160 --> 00:10:40,000
Speaker 1: what's going on surrounding the COVID vaccine. And I continue

182
00:10:40,000 --> 00:10:42,839
Speaker 1: to say COVID vaccine in question and quotation marks, because

183
00:10:43,000 --> 00:10:45,600
Speaker 1: the question that I asked Buck that got everybody riled

184
00:10:45,679 --> 00:10:49,040
Speaker 1: up last week on Twitter was just this, name me

185
00:10:49,240 --> 00:10:52,440
Speaker 1: any other vaccine in quotation marks that you have to

186
00:10:52,480 --> 00:10:55,160
Speaker 1: get three or four shots in a year and it

187
00:10:55,200 --> 00:10:58,559
Speaker 1: doesn't prevent you from getting or spreading the virus. I've

188
00:10:58,559 --> 00:11:00,520
Speaker 1: never heard of that happen. This is the crappy vaccine.

189
00:11:00,520 --> 00:11:02,160
Speaker 1: And anybody's ever heard of I mean, no one's ever

190
00:11:02,200 --> 00:11:04,560
Speaker 1: been sitting around saying, yeah, you know, get the MMR

191
00:11:04,679 --> 00:11:07,160
Speaker 1: vaccines and maybe get them four times a year for

192
00:11:07,160 --> 00:11:09,240
Speaker 1: the rest of your life, and maybe it works, maybe

193
00:11:09,280 --> 00:11:12,360
Speaker 1: it doesn't. Doesn't stop the spread. Of course, this is

194
00:11:12,400 --> 00:11:14,040
Speaker 1: not what we thought of when this is not what

195
00:11:14,120 --> 00:11:16,160
Speaker 1: they told us. To be very clear, they said ninety

196
00:11:16,160 --> 00:11:18,200
Speaker 1: five percent protection. You don't get it, you don't spread it.

197
00:11:18,280 --> 00:11:20,880
Speaker 1: But Clay, to your point about social media, what I

198
00:11:20,920 --> 00:11:24,000
Speaker 1: think we're seeing is that it's more apparent now that

199
00:11:24,040 --> 00:11:27,720
Speaker 1: there are some people who are allowed to say what

200
00:11:27,800 --> 00:11:31,480
Speaker 1: you and I say, And so that's okay. Now what

201
00:11:31,640 --> 00:11:34,000
Speaker 1: are you and I allowed to say it? Right? Can

202
00:11:34,040 --> 00:11:36,560
Speaker 1: I say that the vaccines don't stop the spread? I

203
00:11:36,640 --> 00:11:39,120
Speaker 1: might get danged, I might get shut down, But Rochelle

204
00:11:39,120 --> 00:11:41,480
Speaker 1: Wilenski can go and say it right. It's about who

205
00:11:41,559 --> 00:11:43,520
Speaker 1: can say what, which just goes to show you this

206
00:11:43,600 --> 00:11:45,679
Speaker 1: is all about power dynamics and has been all along,

207
00:11:46,120 --> 00:11:49,200
Speaker 1: and politics and the politics I think on this are

208
00:11:49,400 --> 00:11:52,240
Speaker 1: disastrous now for Joe Biden, and I think they are

209
00:11:52,320 --> 00:11:54,760
Speaker 1: trying to figure out they're in a tough spot right

210
00:11:54,800 --> 00:11:59,199
Speaker 1: because they used COVID to keep Donald Trump from getting

211
00:11:59,240 --> 00:12:03,400
Speaker 1: reelected twenty twenty, all of the death counters, which miraculously

212
00:12:03,440 --> 00:12:06,240
Speaker 1: have disappeared, even though the deaths are continuing to go up,

213
00:12:06,640 --> 00:12:09,920
Speaker 1: all of the nuance surrounding these numbers. Wait a minute,

214
00:12:09,960 --> 00:12:13,520
Speaker 1: what's the difference between the COVID death with COVID versus

215
00:12:13,559 --> 00:12:17,000
Speaker 1: COVID because a death because of COVID. These were conversations

216
00:12:17,000 --> 00:12:19,880
Speaker 1: that were not allowed to happen. And now as they

217
00:12:19,960 --> 00:12:22,160
Speaker 1: look ahead to the red wave that is coming in

218
00:12:22,200 --> 00:12:25,000
Speaker 1: twenty twenty two to this mid term. As every single

219
00:12:25,080 --> 00:12:27,439
Speaker 1: day Buck more and more people my phone. I don't

220
00:12:27,440 --> 00:12:29,560
Speaker 1: know about you, but there are friends of mine that

221
00:12:29,640 --> 00:12:32,199
Speaker 1: I will hear from pretty regularly who may have been

222
00:12:32,240 --> 00:12:36,280
Speaker 1: critical of some of my COVID comments earlier, and they're like, man,

223
00:12:36,360 --> 00:12:38,839
Speaker 1: I'm starting to look at the data and a lot

224
00:12:38,840 --> 00:12:40,600
Speaker 1: of what you've been saying is true. Yeah, it's not

225
00:12:40,640 --> 00:12:44,160
Speaker 1: like I'm pretending to be a Nobel Prize winning scientist.

226
00:12:44,480 --> 00:12:47,120
Speaker 1: I'm just looking at the data and using it to

227
00:12:47,200 --> 00:12:50,360
Speaker 1: inform my opinions, which is what all intelligent people should do.

228
00:12:50,440 --> 00:12:53,560
Speaker 1: And there are Nobel Prize winning scientists that kind of

229
00:12:53,559 --> 00:12:55,079
Speaker 1: say we've been saying here in the claim Buck Show.

230
00:12:55,120 --> 00:12:56,319
Speaker 1: I'm just gonna just gonna put it out in a

231
00:12:56,320 --> 00:12:58,199
Speaker 1: little bit, a little bit of what the claim Buck

232
00:12:58,240 --> 00:13:00,440
Speaker 1: Show has been recently. You know, you don't just vote

233
00:13:00,440 --> 00:13:02,920
Speaker 1: every November. You vote every single month with the money

234
00:13:02,960 --> 00:13:04,960
Speaker 1: you spend to the companies you choose to spend it with.

235
00:13:05,320 --> 00:13:07,680
Speaker 1: Consider your current cell phone provider and the bill you're

236
00:13:07,679 --> 00:13:10,480
Speaker 1: paying this month. Your money supports the candidates and issues

237
00:13:10,480 --> 00:13:12,440
Speaker 1: that they donate to. Do you know who they are.

238
00:13:12,679 --> 00:13:14,520
Speaker 1: Let me give you a hint you might be frustrated

239
00:13:14,559 --> 00:13:18,000
Speaker 1: to see the support for the leftist politicians pushing liberal agendas.

240
00:13:18,280 --> 00:13:21,120
Speaker 1: But there's a solution, Pure Talk. Get your cell phone

241
00:13:21,160 --> 00:13:23,959
Speaker 1: service from pure Talk. They use the exact same towers

242
00:13:24,000 --> 00:13:26,200
Speaker 1: accessing the exact same five G network as one of

243
00:13:26,200 --> 00:13:28,480
Speaker 1: those companies. With pure Talk, you have the peace of

244
00:13:28,520 --> 00:13:31,319
Speaker 1: mind that you're supporting a veteran run business with employees

245
00:13:31,400 --> 00:13:33,880
Speaker 1: all here in the United States. Clay and I are

246
00:13:33,920 --> 00:13:36,679
Speaker 1: proud to be customers for that reason too. And Clay,

247
00:13:36,760 --> 00:13:39,080
Speaker 1: this is a monthly bill you can be proud to pay,

248
00:13:39,760 --> 00:13:42,079
Speaker 1: no doubt, it's likely to be half of what your

249
00:13:42,120 --> 00:13:44,360
Speaker 1: current cell phone bill is. That means you're likely to

250
00:13:44,360 --> 00:13:47,920
Speaker 1: save fifty or sixty dollars or more each month. So

251
00:13:48,000 --> 00:13:50,120
Speaker 1: how do you get yourself hooked up from your cell

252
00:13:50,160 --> 00:13:53,080
Speaker 1: phone right now? Grab them in your hands. Dial pound

253
00:13:53,240 --> 00:13:56,800
Speaker 1: two fifty say pure Talk, and you'll save an additional

254
00:13:56,880 --> 00:14:00,920
Speaker 1: fifty percent off your first month. Dial pound two five

255
00:14:01,080 --> 00:14:09,840
Speaker 1: zero say pure Talk today. Welcome into the second hour

256
00:14:09,920 --> 00:14:12,360
Speaker 1: of the Clay, Travis and Buck Sex and show everybody

257
00:14:12,440 --> 00:14:15,080
Speaker 1: eight hundred two eight two eight eight two on those

258
00:14:15,120 --> 00:14:20,720
Speaker 1: phone lines NYC my hometown. A lot of people listening

259
00:14:20,760 --> 00:14:25,080
Speaker 1: on seven ten WR, NYC right now, and you are

260
00:14:25,160 --> 00:14:27,720
Speaker 1: very much affected by in the day to day exactly

261
00:14:27,760 --> 00:14:29,840
Speaker 1: what we're about to talk about here, but across the country.

262
00:14:29,880 --> 00:14:32,920
Speaker 1: Let me just give you this quick pitch. This is

263
00:14:33,160 --> 00:14:36,280
Speaker 1: Los Angeles, New York. You see what happens in these places,

264
00:14:36,280 --> 00:14:37,960
Speaker 1: and it's what the Democrats want to do to the

265
00:14:37,960 --> 00:14:40,920
Speaker 1: whole country if they can, if they could. And it

266
00:14:40,960 --> 00:14:43,960
Speaker 1: gives you a sense of their mindset going forward into

267
00:14:43,960 --> 00:14:47,960
Speaker 1: this midterm election year, because we had been thinking for

268
00:14:48,000 --> 00:14:50,000
Speaker 1: a while, I think on the right, Oh my gosh,

269
00:14:50,040 --> 00:14:52,800
Speaker 1: Biden is such a joke. These policies that are being

270
00:14:52,800 --> 00:14:55,640
Speaker 1: implemented are so bad that the Democrats are going to

271
00:14:55,720 --> 00:14:57,320
Speaker 1: have to do what they usually do an election year,

272
00:14:57,360 --> 00:14:59,520
Speaker 1: which is pretend to be something other than that, which

273
00:14:59,680 --> 00:15:02,720
Speaker 1: they do a little head fake toward the center. Oh yeah,

274
00:15:02,760 --> 00:15:05,640
Speaker 1: we're not that. We're not a bunch of quasi Marxists

275
00:15:05,680 --> 00:15:08,800
Speaker 1: running around who want to undermine the very foundations of

276
00:15:08,800 --> 00:15:12,320
Speaker 1: American society. No, no, no, of course, not right. We're

277
00:15:12,360 --> 00:15:15,080
Speaker 1: not teaching critical race theory to your kids in school now.

278
00:15:15,200 --> 00:15:16,840
Speaker 1: We don't do that, and if anyone was doing it,

279
00:15:16,880 --> 00:15:19,440
Speaker 1: we'll put a stop to it. You would think they

280
00:15:19,520 --> 00:15:22,600
Speaker 1: might do that, but that's not necessarily what's actually happening

281
00:15:22,600 --> 00:15:24,880
Speaker 1: in New York City is an example I think of,

282
00:15:25,480 --> 00:15:29,040
Speaker 1: Oh wow, they might just be so ideologically committed that

283
00:15:29,080 --> 00:15:32,800
Speaker 1: they're going to keep on ruining this place. They're going

284
00:15:32,840 --> 00:15:35,480
Speaker 1: to keep doing what they've done in San Francisco, in

285
00:15:35,560 --> 00:15:41,200
Speaker 1: New York, in Los Angeles and destroy the largest cities

286
00:15:41,240 --> 00:15:45,320
Speaker 1: in America, make them unlivable hell holes. Eric Adams was

287
00:15:45,400 --> 00:15:47,360
Speaker 1: the great hope to end this, and I can tell

288
00:15:47,400 --> 00:15:50,360
Speaker 1: you that so far it looks like he may just

289
00:15:50,480 --> 00:15:54,800
Speaker 1: be a continuation in many ways of the de Blasio decline.

290
00:15:54,880 --> 00:15:58,120
Speaker 1: He might be a little bit better on police, but

291
00:15:58,240 --> 00:16:03,600
Speaker 1: let me start with this. He has act allowing eight

292
00:16:03,680 --> 00:16:06,880
Speaker 1: hundred thousand non citizens, and I just want to say this,

293
00:16:07,560 --> 00:16:09,760
Speaker 1: non citizens is not a term we should use. We

294
00:16:09,800 --> 00:16:12,560
Speaker 1: should use the actual federal legal code term, which is

295
00:16:12,560 --> 00:16:15,720
Speaker 1: a legal alien or if you want to, illegal immigrant.

296
00:16:15,800 --> 00:16:18,120
Speaker 1: But it is a violation of US law for people

297
00:16:18,160 --> 00:16:20,840
Speaker 1: not in this country legally to be here. That has

298
00:16:20,840 --> 00:16:22,560
Speaker 1: not changed, that is still in the books. If the

299
00:16:22,600 --> 00:16:26,240
Speaker 1: Democrats don't think that's fair, they should be advocating for

300
00:16:26,280 --> 00:16:30,800
Speaker 1: the elimination of illegal status, which we know they will do.

301
00:16:31,080 --> 00:16:32,600
Speaker 1: But it's just a question of when they have the

302
00:16:32,680 --> 00:16:34,600
Speaker 1: votes and the power to try to get it through.

303
00:16:35,080 --> 00:16:39,000
Speaker 1: But in the meantime, Clay eight hundred thousand illegal aliens

304
00:16:39,000 --> 00:16:42,280
Speaker 1: in New York City are now because Eric Adams has

305
00:16:42,320 --> 00:16:46,320
Speaker 1: allowed the legislation to automatically become law on Sunday, he

306
00:16:46,360 --> 00:16:48,960
Speaker 1: did not veto it, eight hundred thousand illegals are now

307
00:16:49,040 --> 00:16:53,040
Speaker 1: voting for city Council, for the mayor. What does this

308
00:16:53,080 --> 00:16:54,840
Speaker 1: say to people who first of all live here a second,

309
00:16:54,920 --> 00:16:57,160
Speaker 1: I'll have to pay the outrageous taxes to live here,

310
00:16:57,640 --> 00:17:00,440
Speaker 1: and the people that came through the system legally looks

311
00:17:00,440 --> 00:17:03,040
Speaker 1: like Democrats don't care, like they make a mockery of

312
00:17:03,080 --> 00:17:06,240
Speaker 1: all of it. No one saw this news who is

313
00:17:06,280 --> 00:17:10,240
Speaker 1: an American citizen and thought, this solidifies my decision to

314
00:17:10,280 --> 00:17:13,919
Speaker 1: live in New York. That's my number one takeaway. And

315
00:17:14,200 --> 00:17:18,639
Speaker 1: this is significant because Eric Adams has talked about publicly.

316
00:17:18,680 --> 00:17:20,320
Speaker 1: I think he said a lot of the right things,

317
00:17:20,359 --> 00:17:22,479
Speaker 1: which is one of the first things he's gonna do

318
00:17:22,560 --> 00:17:24,160
Speaker 1: is get on a plane and go down to Florida,

319
00:17:24,240 --> 00:17:27,040
Speaker 1: he said, and try to persuade people who had left

320
00:17:27,119 --> 00:17:30,000
Speaker 1: New York to move to Florida, had taken their tax

321
00:17:30,040 --> 00:17:32,760
Speaker 1: dollars from New York to Florida and was going to

322
00:17:32,800 --> 00:17:34,359
Speaker 1: try to persuade him to come back. This is the

323
00:17:34,400 --> 00:17:37,600
Speaker 1: exact opposite of that. My second thought is there's no

324
00:17:37,640 --> 00:17:43,159
Speaker 1: way this is constitutional. So the idea, and again I

325
00:17:43,200 --> 00:17:45,280
Speaker 1: understand people out there, some are going to say, well,

326
00:17:45,280 --> 00:17:48,000
Speaker 1: this is just a local election, this is not a

327
00:17:48,080 --> 00:17:52,760
Speaker 1: state or federal election. But to me, the idea that

328
00:17:52,840 --> 00:17:54,919
Speaker 1: you can allow. First of all, how are you going

329
00:17:54,960 --> 00:17:58,000
Speaker 1: to distinguish? Right, So we already know that New York

330
00:17:58,040 --> 00:18:02,080
Speaker 1: City's elections are a total mess. They've acknowledged it. The

331
00:18:02,119 --> 00:18:05,080
Speaker 1: mayor race itself was a mess. They put out wrong numbers,

332
00:18:05,080 --> 00:18:08,879
Speaker 1: they had to correct them. How are you going to

333
00:18:08,920 --> 00:18:12,439
Speaker 1: easily create a system where you are going to allow

334
00:18:12,480 --> 00:18:15,520
Speaker 1: people to vote in local elections but then not allow

335
00:18:15,600 --> 00:18:17,840
Speaker 1: them to vote in state or federal elections. It seems

336
00:18:17,840 --> 00:18:21,600
Speaker 1: to me that this would be rampant fraud opportunities because

337
00:18:21,640 --> 00:18:24,800
Speaker 1: you're going to have what two different registers of who

338
00:18:24,840 --> 00:18:27,359
Speaker 1: exactly is legal to vote and who's not, and what

339
00:18:27,440 --> 00:18:31,200
Speaker 1: are the rules and ramifications here? I just I find

340
00:18:31,200 --> 00:18:33,119
Speaker 1: it hard to believe that this is going to be

341
00:18:33,200 --> 00:18:36,879
Speaker 1: upheld constitutionally. But it shows you the mentality here, folks.

342
00:18:36,920 --> 00:18:39,840
Speaker 1: Certainly this is a new era for New York. They've

343
00:18:39,840 --> 00:18:42,640
Speaker 1: already done something like this in San Francisco. They are

344
00:18:42,800 --> 00:18:45,240
Speaker 1: making moves to do things like this in Los Angeles

345
00:18:45,280 --> 00:18:49,240
Speaker 1: and other places. But here's Eric Adams when this was

346
00:18:49,280 --> 00:18:52,440
Speaker 1: being talked about. Here's how we responded. Doesn't the bill

347
00:18:52,520 --> 00:18:55,080
Speaker 1: just make a mockery of the idea of American citizenship? Though?

348
00:18:55,119 --> 00:18:57,520
Speaker 1: I mean, this is just for local elections, But does

349
00:18:57,560 --> 00:18:59,800
Speaker 1: that mean, like next to New York City is going

350
00:18:59,840 --> 00:19:02,719
Speaker 1: to non citizens to vote in federal elections? I mean,

351
00:19:03,280 --> 00:19:04,600
Speaker 1: when what do you say to all the people who

352
00:19:04,680 --> 00:19:07,800
Speaker 1: went through the process, the difficult process of becoming an

353
00:19:07,840 --> 00:19:11,359
Speaker 1: American citizen, studying for the test, swearing an oath of

354
00:19:11,400 --> 00:19:14,400
Speaker 1: allegiance to the United States of America, who now see

355
00:19:14,480 --> 00:19:17,240
Speaker 1: this legislation just saying, well, and anyone who's here, you

356
00:19:17,280 --> 00:19:19,120
Speaker 1: can go ahead and vote. Well, I stay to them,

357
00:19:19,240 --> 00:19:22,640
Speaker 1: keep doing it. You know, membership has his privileges. Being

358
00:19:22,680 --> 00:19:25,479
Speaker 1: a member of what we call the United States of

359
00:19:25,480 --> 00:19:28,320
Speaker 1: America is a great privilege, and I would tell them

360
00:19:28,480 --> 00:19:31,440
Speaker 1: keep doing it. Don't let anything daunt you or take

361
00:19:31,440 --> 00:19:34,160
Speaker 1: you away from that mission. This legislation is not going

362
00:19:34,200 --> 00:19:37,240
Speaker 1: to do that. This is that that's a laughable non answer,

363
00:19:37,320 --> 00:19:40,600
Speaker 1: by the way, to some actual questions being asked in

364
00:19:40,640 --> 00:19:45,760
Speaker 1: fairness on CNN, a laughable non answer. So what what

365
00:19:46,080 --> 00:19:47,800
Speaker 1: is it? What are people to make of this? We

366
00:19:47,840 --> 00:19:50,760
Speaker 1: haven't even talked about the fact that this Mayor's now

367
00:19:50,880 --> 00:19:53,320
Speaker 1: you're gonna have to be working in a world worthy district.

368
00:19:53,359 --> 00:19:57,040
Speaker 1: Attorney brag is apparently saying, what do you mean you

369
00:19:57,080 --> 00:20:00,240
Speaker 1: guys are gonna be upset at me because I'm going

370
00:20:00,280 --> 00:20:03,400
Speaker 1: to put armed robbers in prison at all. I mean,

371
00:20:03,400 --> 00:20:06,760
Speaker 1: there's a lot of indicators here that Adams is not

372
00:20:06,880 --> 00:20:09,040
Speaker 1: going to be the savior of New York City. And

373
00:20:09,400 --> 00:20:12,720
Speaker 1: I think increasingly to be a Democrat today in good

374
00:20:12,720 --> 00:20:17,960
Speaker 1: standing Clay, you have to embrace a level of a derangement.

375
00:20:17,960 --> 00:20:20,119
Speaker 1: I mean, you have to actually think that it's not

376
00:20:20,119 --> 00:20:22,360
Speaker 1: that the policies are failing, it's that we haven't done

377
00:20:22,359 --> 00:20:26,600
Speaker 1: them enough, whether it's COVID, criminal reform, illegal immigration. If

378
00:20:26,600 --> 00:20:28,960
Speaker 1: we just get more of the thing that's working out

379
00:20:29,000 --> 00:20:32,520
Speaker 1: really poorly for America, eventually it'll be a good thing.

380
00:20:33,359 --> 00:20:34,840
Speaker 1: And here is what I think is going to be

381
00:20:34,920 --> 00:20:39,000
Speaker 1: one of the lasting impacts of COVID. Right Eventually, COVID

382
00:20:39,240 --> 00:20:42,359
Speaker 1: is going to go away. COVID politics are going to

383
00:20:42,440 --> 00:20:44,719
Speaker 1: go away. May take two or three years, may take

384
00:20:44,840 --> 00:20:47,480
Speaker 1: longer than that before the entire cycle of the COVID

385
00:20:47,520 --> 00:20:51,359
Speaker 1: political arena is exhausted. But what is not going to

386
00:20:51,440 --> 00:20:53,119
Speaker 1: go away? Buck? And I'm curious how much do you

387
00:20:53,160 --> 00:20:56,720
Speaker 1: think this plays in Big cities like New York have

388
00:20:56,840 --> 00:21:00,520
Speaker 1: relied upon the network effect to even if they make

389
00:21:00,560 --> 00:21:03,240
Speaker 1: poor decisions. People have said, oh, well, I have to

390
00:21:03,280 --> 00:21:05,199
Speaker 1: be in New York because I've got to do this

391
00:21:05,320 --> 00:21:07,560
Speaker 1: job or that job. I've got a Wall Street job

392
00:21:07,560 --> 00:21:09,199
Speaker 1: and I've got to be in New York. I've got

393
00:21:09,240 --> 00:21:11,080
Speaker 1: a media job, and I've got to be in New York.

394
00:21:11,680 --> 00:21:14,879
Speaker 1: I think what has happened with COVID is many people

395
00:21:14,960 --> 00:21:18,520
Speaker 1: have realized that the technology exists for them to do

396
00:21:18,560 --> 00:21:21,640
Speaker 1: their jobs anywhere, certainly in the country and in many

397
00:21:21,680 --> 00:21:25,960
Speaker 1: cases all over the world. And so you are creating new,

398
00:21:26,080 --> 00:21:30,080
Speaker 1: dynamic levels of competition that the big cities I'm not

399
00:21:30,160 --> 00:21:32,800
Speaker 1: sure have recognized enough. And I'll get use you as

400
00:21:32,800 --> 00:21:36,159
Speaker 1: an example, Buck. When you and I started doing radio,

401
00:21:36,480 --> 00:21:39,760
Speaker 1: let's say it's you know, twenty years ago, you're doing radio.

402
00:21:40,119 --> 00:21:43,760
Speaker 1: Being in a studio was a requirement you in order

403
00:21:43,800 --> 00:21:46,080
Speaker 1: to have the right technology, in order to have the

404
00:21:46,200 --> 00:21:49,879
Speaker 1: right sound, you went into a physical studio and you

405
00:21:49,960 --> 00:21:53,159
Speaker 1: had to be present in a particular location. You and

406
00:21:53,200 --> 00:21:55,119
Speaker 1: I have got the biggest radio show in the country

407
00:21:55,200 --> 00:21:56,960
Speaker 1: thanks to taking over for Rush, who had built the

408
00:21:56,960 --> 00:22:00,480
Speaker 1: biggest radio show in the country. And much like even

409
00:22:00,520 --> 00:22:03,960
Speaker 1: back then, he could travel around. But COVID has allowed

410
00:22:04,080 --> 00:22:06,440
Speaker 1: radio in a way that never would have existed before,

411
00:22:06,680 --> 00:22:09,600
Speaker 1: to be taken place anywhere in the world. And you

412
00:22:09,640 --> 00:22:12,920
Speaker 1: can do this show from anywhere I don't know. And

413
00:22:13,200 --> 00:22:15,439
Speaker 1: I think that translates not just for our job, but

414
00:22:15,560 --> 00:22:19,000
Speaker 1: for many jobs out there. And I'm not sure politicians

415
00:22:19,000 --> 00:22:21,600
Speaker 1: are aware of how much competition exists now for the

416
00:22:21,640 --> 00:22:23,359
Speaker 1: New York cities of the world. And it used to

417
00:22:23,359 --> 00:22:27,280
Speaker 1: be for a lot of jobs, presence was required. You

418
00:22:27,320 --> 00:22:29,959
Speaker 1: had to actually be there to be you know, if

419
00:22:29,960 --> 00:22:32,640
Speaker 1: you're going to work. Investment banking was the big thing

420
00:22:32,640 --> 00:22:34,679
Speaker 1: in New York City in the nineties and then the

421
00:22:34,720 --> 00:22:38,000
Speaker 1: two thousands it became being a hedge fund guy, and yeah,

422
00:22:38,040 --> 00:22:40,000
Speaker 1: some of that could be done remote, but generally you

423
00:22:40,440 --> 00:22:43,440
Speaker 1: had to be there in the meeting, in the room

424
00:22:43,480 --> 00:22:46,720
Speaker 1: with people. And now in the digital era that's certainly changing.

425
00:22:47,040 --> 00:22:49,639
Speaker 1: I also, though, just want to note play back to

426
00:22:49,680 --> 00:22:53,520
Speaker 1: the Eric Adams as savior or not of New York City.

427
00:22:53,560 --> 00:22:54,800
Speaker 1: By the way, I just want to I want to

428
00:22:54,800 --> 00:22:57,200
Speaker 1: tell everybody I'm putting if you're asking me to place

429
00:22:57,200 --> 00:23:00,680
Speaker 1: a bet, I think that he's going to be Deblasio

430
00:23:00,920 --> 00:23:03,200
Speaker 1: was an f I think Eric Adams is going to

431
00:23:03,240 --> 00:23:06,200
Speaker 1: be like a C minus is my so not good

432
00:23:06,320 --> 00:23:09,840
Speaker 1: but a little better than you know. Yeah, so it's

433
00:23:09,880 --> 00:23:12,560
Speaker 1: it's not it's not great. I mean, here he is.

434
00:23:12,600 --> 00:23:16,080
Speaker 1: When he's made his brother the I think it's a

435
00:23:16,080 --> 00:23:19,240
Speaker 1: deputy commissioner level senior role in the NYPD. He gets hired.

436
00:23:19,560 --> 00:23:23,159
Speaker 1: Listen to how Eric Adams explains this. Let me be

437
00:23:23,200 --> 00:23:27,080
Speaker 1: clear on this. My brother is qualified or the position

438
00:23:27,720 --> 00:23:30,520
Speaker 1: number one. He will be in charge of my security,

439
00:23:31,040 --> 00:23:34,600
Speaker 1: which is extremely important to me in a time when

440
00:23:34,600 --> 00:23:38,480
Speaker 1: we see an increase in white supremacy and hate crimes.

441
00:23:38,680 --> 00:23:41,960
Speaker 1: I have to take my securities in a very serious way,

442
00:23:42,119 --> 00:23:44,800
Speaker 1: and I need someone that I trust around me. I'm

443
00:23:44,840 --> 00:23:47,119
Speaker 1: during these times or my security, and I trust my

444
00:23:47,160 --> 00:23:49,440
Speaker 1: brother deeply. I mean, come on, give me a break,

445
00:23:49,480 --> 00:23:52,119
Speaker 1: all right. The rise in white supresse. I live in

446
00:23:52,160 --> 00:23:55,200
Speaker 1: New York City. There's no rise in white supremacy here,

447
00:23:55,480 --> 00:23:58,840
Speaker 1: there's no rise in hate crimes here. Whenever, like Huffpower

448
00:23:58,880 --> 00:24:01,480
Speaker 1: or one of those crap left wing sites, does hate

449
00:24:01,520 --> 00:24:04,359
Speaker 1: crimes are rising, it's always about how it's a Republican's fault. A,

450
00:24:04,720 --> 00:24:06,720
Speaker 1: and then B when you look at the data, it's

451
00:24:06,720 --> 00:24:10,440
Speaker 1: because they started including, you know, a comment made somewhere

452
00:24:10,520 --> 00:24:13,159
Speaker 1: by someone that was never verified in the data on

453
00:24:13,200 --> 00:24:16,359
Speaker 1: hate crimes. But I mean, this is just it feels

454
00:24:16,359 --> 00:24:18,760
Speaker 1: like he's playing the left wing politics game here to

455
00:24:18,920 --> 00:24:22,960
Speaker 1: excuse nepotism, which I gotta say, some people on the right,

456
00:24:23,040 --> 00:24:25,280
Speaker 1: you know, the nepotism thing. We let it slide a

457
00:24:25,320 --> 00:24:28,640
Speaker 1: little bit. We shouldn't. But that nepotism is an issue. Well,

458
00:24:28,760 --> 00:24:33,520
Speaker 1: remember when the stop Asian hate crime went viral and

459
00:24:33,560 --> 00:24:36,760
Speaker 1: everybody was suddenly like, man, Asian people are really victims

460
00:24:36,760 --> 00:24:38,800
Speaker 1: of hate crimes a lot, We've got to stop this.

461
00:24:39,480 --> 00:24:41,840
Speaker 1: When they thought they could blame it and connect it

462
00:24:41,880 --> 00:24:44,679
Speaker 1: to white supremacy, that was the narrative, and then they

463
00:24:44,720 --> 00:24:46,919
Speaker 1: started looking at all the hate crimes that were going

464
00:24:47,320 --> 00:24:50,480
Speaker 1: started looking at the videos, yeah, and it was all

465
00:24:50,840 --> 00:24:55,760
Speaker 1: primarily Asian people were victims of hate crimes being perpetrated

466
00:24:55,800 --> 00:24:57,879
Speaker 1: if you want to call them hate crimes by black people.

467
00:24:58,200 --> 00:25:00,520
Speaker 1: And then the Democrats are like, oh, well, maybe this

468
00:25:00,560 --> 00:25:02,240
Speaker 1: Asian hate crime thing is not such a big deal,

469
00:25:02,280 --> 00:25:05,800
Speaker 1: and buck it totally disappeared. There was like a month

470
00:25:06,200 --> 00:25:08,240
Speaker 1: where people were like, hey man, we really got to

471
00:25:08,240 --> 00:25:11,320
Speaker 1: stop this Asian hate. And then some of the videos

472
00:25:11,320 --> 00:25:13,520
Speaker 1: started going viral and you saw who the suspects and

473
00:25:13,560 --> 00:25:15,800
Speaker 1: the Asian hate attacks were, and it turned out they

474
00:25:15,800 --> 00:25:18,199
Speaker 1: were black and they couldn't tie it to white supremacy,

475
00:25:18,440 --> 00:25:20,320
Speaker 1: and all of a sudden, the media didn't care about

476
00:25:20,320 --> 00:25:22,480
Speaker 1: Asian hate anymore. There was an amazing moment in all

477
00:25:22,520 --> 00:25:24,360
Speaker 1: of this when I don't know if you remember this, Clay,

478
00:25:24,400 --> 00:25:26,920
Speaker 1: this was years years and years ago, maybe five or

479
00:25:26,960 --> 00:25:28,920
Speaker 1: six years ago. I'm just guessing I can't even remember.

480
00:25:28,960 --> 00:25:30,439
Speaker 1: It's been so far back now, you know, we get

481
00:25:30,480 --> 00:25:34,000
Speaker 1: to my age and started to forget there, and there

482
00:25:34,119 --> 00:25:39,359
Speaker 1: was a woman, a you know, a visually appealing lady

483
00:25:39,840 --> 00:25:42,719
Speaker 1: who had a camera guy follow her all over New

484
00:25:42,800 --> 00:25:46,240
Speaker 1: York City and the idea was, this is the amount

485
00:25:46,320 --> 00:25:49,520
Speaker 1: of of you know, a cat calling and harassment and

486
00:25:49,600 --> 00:25:52,720
Speaker 1: everything that you would suffer from if you were a

487
00:25:52,720 --> 00:25:56,640
Speaker 1: again visually appealing good on camera, as they would say

488
00:25:56,640 --> 00:25:59,800
Speaker 1: in the business Lady walking around New York City. And

489
00:26:00,040 --> 00:26:02,520
Speaker 1: initially it was oh my gosh, the patriarchy, the misogyny,

490
00:26:02,880 --> 00:26:06,080
Speaker 1: and then the left had to freak out because basically

491
00:26:06,119 --> 00:26:09,280
Speaker 1: every single male who said something in this video in

492
00:26:09,320 --> 00:26:13,520
Speaker 1: New York City was a male from a community of color.

493
00:26:14,040 --> 00:26:16,600
Speaker 1: And so then it became this was advance So they

494
00:26:16,600 --> 00:26:19,960
Speaker 1: were trying to take down the patriarchy, but they actually

495
00:26:19,960 --> 00:26:23,840
Speaker 1: started advancing, you know, stereotypes or whatever. You know, they

496
00:26:23,880 --> 00:26:28,320
Speaker 1: started to have these these problems and politics to wides right.

497
00:26:28,359 --> 00:26:30,440
Speaker 1: I mean again, I think the Asian one is so

498
00:26:30,480 --> 00:26:34,400
Speaker 1: fascinating because the idea was a white supremacy is so

499
00:26:34,440 --> 00:26:38,040
Speaker 1: all encompassing that even Asian people aren't safe in this country.

500
00:26:38,240 --> 00:26:40,640
Speaker 1: And they did that based on the shooting that took

501
00:26:40,640 --> 00:26:42,359
Speaker 1: place in Georgia, and they were trying to tie it

502
00:26:42,359 --> 00:26:46,159
Speaker 1: all together into white supremacy. And then all of the

503
00:26:46,320 --> 00:26:50,119
Speaker 1: viral Asian attacks ended up having black perpetrators and the

504
00:26:50,160 --> 00:26:53,400
Speaker 1: story just disappeared. I mean it literally, when's the last

505
00:26:53,440 --> 00:26:56,639
Speaker 1: time you saw a story about Asian hate? And just yeah,

506
00:26:56,680 --> 00:26:58,800
Speaker 1: I mean it's been I don't know that many, many,

507
00:26:58,840 --> 00:27:01,399
Speaker 1: many months, many months into vanished. So I think New

508
00:27:01,480 --> 00:27:05,480
Speaker 1: York folks, it's in trouble, and it's showing you that

509
00:27:05,600 --> 00:27:09,080
Speaker 1: even a place that is suffering because of bad democrat ideas,

510
00:27:09,320 --> 00:27:11,199
Speaker 1: it's very hard to get them to turn around the

511
00:27:11,200 --> 00:27:14,679
Speaker 1: Marxist ship. It's very hard to get them to shift gears.

512
00:27:15,040 --> 00:27:17,320
Speaker 1: When it comes to protecting the value of receiving his account,

513
00:27:17,320 --> 00:27:20,399
Speaker 1: few strategies are more successful than investing a portion of

514
00:27:20,400 --> 00:27:23,040
Speaker 1: that saving his account in real goal. That's been proven

515
00:27:23,040 --> 00:27:26,000
Speaker 1: over the course of time, particularly in times when inflation

516
00:27:26,400 --> 00:27:28,240
Speaker 1: is impacting us in so many ways as it is

517
00:27:28,280 --> 00:27:30,919
Speaker 1: these days, Buying real goal and taking possession of it

518
00:27:30,920 --> 00:27:33,840
Speaker 1: has been made easy with the help of our friends

519
00:27:33,840 --> 00:27:36,920
Speaker 1: at the Oxford Gold Group. Owning and holding real goal

520
00:27:37,000 --> 00:27:39,640
Speaker 1: that you can securely store away is a practical reality.

521
00:27:39,840 --> 00:27:43,000
Speaker 1: There's nothing like real gold delivered to your home. Buying

522
00:27:43,040 --> 00:27:45,680
Speaker 1: real gold is smart, calculated and a proactive thing to do.

523
00:27:46,000 --> 00:27:48,000
Speaker 1: My friends at the Oxford Gold Group are who you

524
00:27:48,040 --> 00:27:50,719
Speaker 1: need to call to get started. They'll explain everything to you.

525
00:27:50,800 --> 00:27:53,440
Speaker 1: Having real goal delivered to your home or having real

526
00:27:53,480 --> 00:27:55,399
Speaker 1: goal as part of your IRA, it is just a

527
00:27:55,440 --> 00:27:58,480
Speaker 1: phone call away with Oxford Gold. Call them at eight

528
00:27:58,520 --> 00:28:01,639
Speaker 1: three three four zero four gold and learn how you

529
00:28:01,640 --> 00:28:04,040
Speaker 1: can have real gold in your IRA and delivered to

530
00:28:04,080 --> 00:28:06,880
Speaker 1: your door. That's the Oxford Gold Group A three three

531
00:28:06,920 --> 00:28:10,040
Speaker 1: four zero four gold A three three four zero four

532
00:28:10,240 --> 00:28:18,119
Speaker 1: g LD. So, first of all, remote learning has hit

533
00:28:18,160 --> 00:28:20,000
Speaker 1: a disaster for America's kids, and I think we have

534
00:28:20,040 --> 00:28:21,800
Speaker 1: to acknowledge that, and we have to do everything we

535
00:28:21,840 --> 00:28:25,800
Speaker 1: can to minimize any further remote learning. So I understand

536
00:28:25,800 --> 00:28:28,560
Speaker 1: teacher's frustrations. A lot of school districts did not put

537
00:28:28,640 --> 00:28:30,800
Speaker 1: in I did not use the billions of dollars that

538
00:28:30,840 --> 00:28:33,560
Speaker 1: they had gotten to put in improvements in ventilation and

539
00:28:33,720 --> 00:28:36,560
Speaker 1: other upgrades. So the question is can you still have

540
00:28:36,600 --> 00:28:38,320
Speaker 1: school in the middle of a surgeon. The answers you

541
00:28:38,360 --> 00:28:41,120
Speaker 1: can because if people are vaccinated, teachers should be all

542
00:28:41,160 --> 00:28:44,840
Speaker 1: vaccinated and boosted, if people wear high quality mass even

543
00:28:44,880 --> 00:28:47,400
Speaker 1: without those other upgrades, which I would like to see,

544
00:28:47,680 --> 00:28:50,280
Speaker 1: it still is safe for kids and teachers to be

545
00:28:50,400 --> 00:28:52,440
Speaker 1: back in school. So I think at this point there's

546
00:28:52,440 --> 00:28:57,440
Speaker 1: really no good explanation for having remote schools. Explanation that

547
00:28:57,560 --> 00:29:00,880
Speaker 1: was doctor a Chief Jah there. He's one of the

548
00:29:00,880 --> 00:29:02,880
Speaker 1: guys who goes on a lot of the cable news

549
00:29:02,880 --> 00:29:06,480
Speaker 1: he's an MSNBCCNN one, though not not somebody that you

550
00:29:06,480 --> 00:29:09,520
Speaker 1: would think necessarily is going to ever call out the

551
00:29:09,560 --> 00:29:13,440
Speaker 1: fauciite nonsense. But right now we're talking about this the

552
00:29:13,480 --> 00:29:18,920
Speaker 1: issue of schools because the city of Chicago has three

553
00:29:18,960 --> 00:29:21,560
Speaker 1: hundred and fifty thousand children who are for the fourth

554
00:29:21,640 --> 00:29:24,120
Speaker 1: day out of school. And you would say, wait, hold

555
00:29:24,160 --> 00:29:26,040
Speaker 1: on a second, why is that going on? Well, we

556
00:29:26,080 --> 00:29:29,680
Speaker 1: all know why, right The teachers unions have a lot

557
00:29:29,720 --> 00:29:32,720
Speaker 1: of power, and they know that they get paid. You know,

558
00:29:33,000 --> 00:29:35,360
Speaker 1: you run a small business or your an employee of

559
00:29:35,360 --> 00:29:38,920
Speaker 1: a company that has bills to pay, and you say, yeah,

560
00:29:39,040 --> 00:29:41,040
Speaker 1: I know that it's fine, and a lot of other

561
00:29:41,040 --> 00:29:44,400
Speaker 1: people and YadA YadA, and I'm vaccinated and boosted, but

562
00:29:45,040 --> 00:29:48,280
Speaker 1: I'm just not going to work. That's a problem. That's

563
00:29:48,320 --> 00:29:49,840
Speaker 1: not going to work out so well. But if you're

564
00:29:49,840 --> 00:29:53,080
Speaker 1: getting paid by the taxpayer, and you have Democrat politicians

565
00:29:53,080 --> 00:29:55,640
Speaker 1: in your pocket because you're the teachers union and you

566
00:29:55,800 --> 00:29:59,160
Speaker 1: raise money for them, and you're essentially a Marxist public

567
00:29:59,200 --> 00:30:02,560
Speaker 1: sector union, you can get away with this kind of stuff.

568
00:30:03,120 --> 00:30:05,240
Speaker 1: And this is so interesting. Here was actually the head

569
00:30:05,240 --> 00:30:08,880
Speaker 1: of the Chicago teachers union speaking out on this is

570
00:30:09,160 --> 00:30:11,280
Speaker 1: just just listen to him here. This is what he says, Hey,

571
00:30:11,320 --> 00:30:15,320
Speaker 1: everyone's making a hard choice right the context of this, Hey,

572
00:30:15,520 --> 00:30:17,240
Speaker 1: you are making a hard choice about whether to go

573
00:30:17,280 --> 00:30:20,960
Speaker 1: to the grocery store or not. No, actually, not true.

574
00:30:21,320 --> 00:30:23,640
Speaker 1: This is not a hard choice. The rest of the

575
00:30:23,680 --> 00:30:27,520
Speaker 1: country not only has schools open Clay, but there have

576
00:30:27,560 --> 00:30:32,440
Speaker 1: been schools that were open that did fine before there

577
00:30:32,520 --> 00:30:36,040
Speaker 1: was even a vaccine. Private and parochial schools across the country,

578
00:30:36,040 --> 00:30:39,640
Speaker 1: even here in New York City stayed open pre vaccination,

579
00:30:40,240 --> 00:30:42,840
Speaker 1: have been opened the whole time there's a vaccine, obviously

580
00:30:42,880 --> 00:30:46,440
Speaker 1: not in the summertime. But there's no argue, there is

581
00:30:46,480 --> 00:30:49,280
Speaker 1: no good faith argument for this. And the fact that

582
00:30:49,360 --> 00:30:52,080
Speaker 1: Biden won't just come out and say this is nonsense,

583
00:30:52,160 --> 00:30:55,400
Speaker 1: knock it off, just goes to show you these libs

584
00:30:55,560 --> 00:31:02,240
Speaker 1: don't care about kids. It to me, this is the

585
00:31:02,280 --> 00:31:06,280
Speaker 1: biggest failure of all the COVID failures, because you are

586
00:31:06,360 --> 00:31:10,160
Speaker 1: talking about the city of Chicago, where every bar is open,

587
00:31:11,320 --> 00:31:16,120
Speaker 1: where every sports arena is open. You can go sit

588
00:31:16,920 --> 00:31:21,200
Speaker 1: twenty thousand people can and watch the Chicago Bulls play

589
00:31:21,200 --> 00:31:24,640
Speaker 1: a basketball game, or watch the Chicago Blackhawks play a

590
00:31:24,680 --> 00:31:29,160
Speaker 1: hockey game. And yet your kids aren't allowed to be

591
00:31:29,320 --> 00:31:34,560
Speaker 1: in public school. It's an unmitigated disaster that we could

592
00:31:34,560 --> 00:31:38,600
Speaker 1: be here. And it is a fundamental failure of Joe

593
00:31:38,600 --> 00:31:42,720
Speaker 1: Biden's leadership that he doesn't just come out and say

594
00:31:43,520 --> 00:31:47,000
Speaker 1: every kid in every school has to be back. And

595
00:31:47,040 --> 00:31:50,440
Speaker 1: I don't know how this situation resolves itself, Buck, because

596
00:31:50,440 --> 00:31:54,080
Speaker 1: we're talking about four days now where the teachers unions

597
00:31:54,120 --> 00:31:58,000
Speaker 1: are refusing to go back, and where Chicago Mayor Lori

598
00:31:58,200 --> 00:32:01,360
Speaker 1: Lightfoot is actually trying to hold accountable but doesn't have

599
00:32:01,440 --> 00:32:05,320
Speaker 1: any real ability to do so, how does this situation

600
00:32:05,400 --> 00:32:09,720
Speaker 1: resolve itself? I don't even really know the answer. This

601
00:32:09,880 --> 00:32:12,280
Speaker 1: is a monstrous number of people. And this is why

602
00:32:12,320 --> 00:32:16,640
Speaker 1: I said, and I'll continue to say it. January sixth

603
00:32:17,000 --> 00:32:20,920
Speaker 1: was a disaster the way that Democrats tried to honor

604
00:32:21,000 --> 00:32:24,120
Speaker 1: it with the singing of a song from Hamilton and

605
00:32:24,120 --> 00:32:27,520
Speaker 1: the candlelit vigil on the steps, and Dick Cheney is

606
00:32:27,520 --> 00:32:31,880
Speaker 1: suddenly a hero of the left wing of this country.

607
00:32:31,920 --> 00:32:34,400
Speaker 1: Everybody's trying to get their picture taken with him after

608
00:32:34,440 --> 00:32:38,160
Speaker 1: they wanted him charged with war crimes during the Iraq

609
00:32:38,280 --> 00:32:43,440
Speaker 1: War fallout. All of that took place, and yet no

610
00:32:43,480 --> 00:32:46,480
Speaker 1: one is really speaking out about Chicago and the Democratic

611
00:32:46,520 --> 00:32:49,720
Speaker 1: Party at all. You got a Democratic governor, you got

612
00:32:49,760 --> 00:32:53,080
Speaker 1: all Democrats who are running the city of Chicago. You've

613
00:32:53,120 --> 00:32:58,320
Speaker 1: certainly got in the nation and apparatus that is very

614
00:32:58,440 --> 00:33:02,640
Speaker 1: pro teachers union, and right now they are effectively kicking

615
00:33:02,720 --> 00:33:05,640
Speaker 1: Joe Biden in the teeth and saying we're not going

616
00:33:05,720 --> 00:33:07,560
Speaker 1: to open. And by the way, this is important because

617
00:33:07,560 --> 00:33:11,280
Speaker 1: it's also spread. My understanding is Atlanta area kids are

618
00:33:11,320 --> 00:33:14,720
Speaker 1: not in school. Some of them are remote Milwaukee area kids.

619
00:33:14,960 --> 00:33:17,080
Speaker 1: A lot of kids, my kids went back, we had

620
00:33:17,120 --> 00:33:19,600
Speaker 1: some snow days and went back to public school today

621
00:33:19,800 --> 00:33:23,080
Speaker 1: for a return to normal class. But there are a

622
00:33:23,080 --> 00:33:25,280
Speaker 1: lot of schools that are coming back either this week

623
00:33:25,520 --> 00:33:29,520
Speaker 1: or next weekend MLK Day, some start the day after.

624
00:33:29,880 --> 00:33:32,120
Speaker 1: This is a big mess. And there are many urban

625
00:33:32,160 --> 00:33:35,840
Speaker 1: school districts in particular all over this country, blue city

626
00:33:36,160 --> 00:33:39,840
Speaker 1: and often Blue state locations where kids two years, after

627
00:33:40,000 --> 00:33:42,560
Speaker 1: fifteen days to slow the spread, are still not going

628
00:33:42,600 --> 00:33:44,880
Speaker 1: to be back in person school. When you listen to

629
00:33:44,920 --> 00:33:48,920
Speaker 1: the arguments of the Chicago Teachers Union, and to be fair,

630
00:33:48,960 --> 00:33:50,960
Speaker 1: and we do that here. We are fair. We make

631
00:33:51,000 --> 00:33:53,760
Speaker 1: the real arguments, or rather we present you with the

632
00:33:53,840 --> 00:33:56,840
Speaker 1: real arguments from the other side, and we call out

633
00:33:57,000 --> 00:34:00,000
Speaker 1: good behavior and good comments no matter who it comes from.

634
00:34:00,080 --> 00:34:02,720
Speaker 1: You know, we give high fives. We're deserved. Even Lorie

635
00:34:02,800 --> 00:34:05,200
Speaker 1: Lightfoot is like, what the heck are you guys doing

636
00:34:05,200 --> 00:34:08,120
Speaker 1: to the teachers union. The mayor, the very left wing

637
00:34:08,480 --> 00:34:11,839
Speaker 1: and not very competent mayor of Chicago is saying, you

638
00:34:11,840 --> 00:34:13,880
Speaker 1: guys got to get your butts back in the classroom.

639
00:34:13,920 --> 00:34:16,560
Speaker 1: This is crazy because if you take them at their

640
00:34:16,600 --> 00:34:19,280
Speaker 1: award that this is really just about fear of the virus.

641
00:34:19,320 --> 00:34:21,800
Speaker 1: At this point, think about what that means. They're talking

642
00:34:21,840 --> 00:34:26,879
Speaker 1: about adults who are all vaccinated and boosted, who are

643
00:34:26,880 --> 00:34:29,239
Speaker 1: going to be exposed to children who have never been

644
00:34:29,920 --> 00:34:34,040
Speaker 1: at high risk nor a likely source of spread to adults,

645
00:34:34,040 --> 00:34:36,160
Speaker 1: and they've never even really understood why that is. The

646
00:34:36,160 --> 00:34:38,839
Speaker 1: theory is that young immune systems may clear it so

647
00:34:38,920 --> 00:34:41,560
Speaker 1: quickly and have such a small viral load. Maybe they

648
00:34:41,600 --> 00:34:44,080
Speaker 1: also have less droplets in the air when they breathe. Whatever,

649
00:34:44,120 --> 00:34:46,399
Speaker 1: the point is, kids don't spread it to adults very

650
00:34:46,400 --> 00:34:49,359
Speaker 1: readily if they're not willing to go into at a time,

651
00:34:49,360 --> 00:34:52,919
Speaker 1: Clay when grocery store workers and postal workers and carpenters

652
00:34:52,920 --> 00:34:56,800
Speaker 1: and contractors and you know, name somebody, right, bar owners

653
00:34:57,040 --> 00:34:58,840
Speaker 1: if they're not willing to go to work when everybody

654
00:34:58,840 --> 00:35:01,160
Speaker 1: else is, and are they willing to go to work?

655
00:35:01,200 --> 00:35:02,600
Speaker 1: I mean, I think there's some part of them that

656
00:35:02,760 --> 00:35:04,840
Speaker 1: they maintain this fantasy of they at least want to

657
00:35:04,840 --> 00:35:08,200
Speaker 1: have the option for quote remote learning, which means really

658
00:35:08,200 --> 00:35:10,839
Speaker 1: no learning whenever they want, for as long as they want,

659
00:35:10,880 --> 00:35:13,520
Speaker 1: because otherwise, what's the end of this when everybody has

660
00:35:13,640 --> 00:35:17,920
Speaker 1: high high speed filters installed in every public school in Chicago,

661
00:35:18,080 --> 00:35:20,040
Speaker 1: give me a break. Good luck with that. And we

662
00:35:20,120 --> 00:35:22,600
Speaker 1: also have to remember, and again I want to reiterate,

663
00:35:22,640 --> 00:35:25,880
Speaker 1: we know we have tons of listeners of this show, teachers,

664
00:35:26,320 --> 00:35:32,080
Speaker 1: members of the principle of vice principles like administrators that

665
00:35:32,239 --> 00:35:35,279
Speaker 1: are also agreeing with us. So I don't want to

666
00:35:35,320 --> 00:35:37,880
Speaker 1: paint with a broad brush with the idea because many

667
00:35:37,920 --> 00:35:41,360
Speaker 1: teachers out there, for instance, my public school kids teachers,

668
00:35:42,000 --> 00:35:45,640
Speaker 1: they've been back in school forever now. But the precedent

669
00:35:45,680 --> 00:35:50,320
Speaker 1: that we sat buck was in March of twenty twenty.

670
00:35:50,600 --> 00:35:54,040
Speaker 1: We basically let teachers just walk off and we paid

671
00:35:54,080 --> 00:35:59,000
Speaker 1: their full salaries and they effectively got months of vacation

672
00:35:59,480 --> 00:36:02,480
Speaker 1: with no responsibility really to speak of. I'm talking about

673
00:36:02,480 --> 00:36:04,680
Speaker 1: March until the end of the school year. There was

674
00:36:04,719 --> 00:36:07,719
Speaker 1: almost no remote learning that went on March, April, May

675
00:36:07,840 --> 00:36:11,640
Speaker 1: June of twenty twenty. And then the remote learning started

676
00:36:11,680 --> 00:36:13,480
Speaker 1: because we were in the middle of a presidential cycle

677
00:36:13,480 --> 00:36:16,080
Speaker 1: and because we failed as a country for many people

678
00:36:16,120 --> 00:36:20,160
Speaker 1: in August and September. But we set the precedent, unfortunately

679
00:36:20,520 --> 00:36:23,839
Speaker 1: with the teachers that it's unsafe for you to go

680
00:36:23,880 --> 00:36:26,279
Speaker 1: back in the classrooms, and we will pay you your

681
00:36:26,320 --> 00:36:28,600
Speaker 1: full salary if you don't do it. I've said from

682
00:36:28,600 --> 00:36:31,440
Speaker 1: the get go we should look at the percentage of

683
00:36:31,560 --> 00:36:34,759
Speaker 1: efficacy when it comes to remote learning, and it is

684
00:36:34,880 --> 00:36:39,560
Speaker 1: massively lower, and we should undercut every teacher salary by

685
00:36:39,640 --> 00:36:42,439
Speaker 1: let's say forty percent and say hey, if you want

686
00:36:42,440 --> 00:36:46,000
Speaker 1: to teach remotely, we'll give you sixty percent of your salary,

687
00:36:46,320 --> 00:36:49,080
Speaker 1: but the other forty percent goes back to the taxpayer.

688
00:36:49,440 --> 00:36:53,359
Speaker 1: I bet almost every teacher if you said that, would say, oh,

689
00:36:53,400 --> 00:36:54,840
Speaker 1: no, no no, I want to go back to the classroom.

690
00:36:55,120 --> 00:36:57,840
Speaker 1: Why do you think about my hidden camera theory that

691
00:36:58,280 --> 00:37:00,000
Speaker 1: of all these and mother way, this is the Chicago

692
00:37:00,120 --> 00:37:02,600
Speaker 1: Go Teachers unions we're talking about. To Clay's point, I

693
00:37:02,640 --> 00:37:04,719
Speaker 1: know they have been you know, my my Jesuit High

694
00:37:04,719 --> 00:37:06,239
Speaker 1: School here in New York City, they've been they've been

695
00:37:06,280 --> 00:37:08,840
Speaker 1: opened for you know, they were open in the fall

696
00:37:08,920 --> 00:37:10,799
Speaker 1: of twenty twenty. I mean they've been opened. They've been

697
00:37:10,800 --> 00:37:13,280
Speaker 1: opened for a long time. They're playing a plenty of schools,

698
00:37:13,280 --> 00:37:15,240
Speaker 1: thousands and thousands them across the country, and the teachers

699
00:37:15,280 --> 00:37:16,759
Speaker 1: have been showing up and a lot of them have

700
00:37:16,800 --> 00:37:19,360
Speaker 1: gone COVID. They're fine. And anyway, I think if you

701
00:37:19,440 --> 00:37:21,919
Speaker 1: followed around the teacher's union president with a hidden camera,

702
00:37:22,000 --> 00:37:25,680
Speaker 1: which you'd find is that he's really scared of COVID

703
00:37:25,800 --> 00:37:29,000
Speaker 1: from kids in the classroom, or maybe he doesn't even teach, right,

704
00:37:29,040 --> 00:37:31,560
Speaker 1: but you know some of his members and they're at

705
00:37:31,640 --> 00:37:37,080
Speaker 1: like packed bars in downtown Chicago watching the football games.

706
00:37:37,160 --> 00:37:39,319
Speaker 1: Mister Travis, you know it's joy. It is, it is.

707
00:37:39,480 --> 00:37:41,279
Speaker 1: It is a great point. It reminds me back in

708
00:37:41,320 --> 00:37:44,600
Speaker 1: the day when you would have somebody claim that they

709
00:37:44,640 --> 00:37:48,280
Speaker 1: had a major injury for a traffic accident or whatever,

710
00:37:48,360 --> 00:37:51,399
Speaker 1: and you would hire an insurance adjuster if you were

711
00:37:51,400 --> 00:37:54,160
Speaker 1: a lawyer, and you would follow that person around be like, well,

712
00:37:54,200 --> 00:37:57,160
Speaker 1: you know you were able to go to the gym,

713
00:37:57,360 --> 00:37:59,520
Speaker 1: you know, I got pictures here if you meditain, but

714
00:37:59,600 --> 00:38:01,400
Speaker 1: you on the water slide didn't see him to make

715
00:38:01,400 --> 00:38:04,320
Speaker 1: a difference. Yeah, yeah, And when you were out dancing

716
00:38:04,360 --> 00:38:07,120
Speaker 1: at the at the at the bar and like everything else.

717
00:38:07,160 --> 00:38:09,399
Speaker 1: I mean, I love that idea. And you know what's

718
00:38:09,400 --> 00:38:10,920
Speaker 1: happened is do you remember I think it was the

719
00:38:11,000 --> 00:38:14,600
Speaker 1: Chicago Area Teachers Union head, wasn't it who got popped

720
00:38:14,600 --> 00:38:18,440
Speaker 1: on her vacation to Puerto Rico. I remember this. I

721
00:38:18,480 --> 00:38:20,879
Speaker 1: think that's right we have It was definitely a teacher's union.

722
00:38:20,880 --> 00:38:22,840
Speaker 1: We need to look up. I'll look up during the break.

723
00:38:22,920 --> 00:38:24,960
Speaker 1: But one of them was at Puerto Rico. Like they

724
00:38:25,000 --> 00:38:30,359
Speaker 1: weren't even smart enough not to post their their vacations

725
00:38:30,440 --> 00:38:32,720
Speaker 1: going out of country when they were supposedly too afraid

726
00:38:32,719 --> 00:38:36,799
Speaker 1: to teach. I just want to know, did aoc who

727
00:38:36,800 --> 00:38:41,799
Speaker 1: has COVID now, folks? Did she stop taking the virus? Seriously?

728
00:38:42,040 --> 00:38:45,600
Speaker 1: Did she let her guard down too soon? Notice how

729
00:38:45,640 --> 00:38:48,120
Speaker 1: it's always a moral failing if anyone the left doesn't

730
00:38:48,160 --> 00:38:50,240
Speaker 1: like when they get COVID. Meanwhile, everyone, I mean, I've

731
00:38:50,239 --> 00:38:52,000
Speaker 1: had COVID, You've at COVID. It's all over the place.

732
00:38:52,280 --> 00:38:54,680
Speaker 1: So many people listening probably about three quarters of people

733
00:38:54,680 --> 00:38:57,799
Speaker 1: listening to this and had COVID already. But notice she

734
00:38:57,960 --> 00:39:00,200
Speaker 1: goes she goes down to Florida. I guess she's not

735
00:39:00,280 --> 00:39:03,720
Speaker 1: so scared of ron death Santis is Florida after all, Clay,

736
00:39:03,880 --> 00:39:06,600
Speaker 1: Oh what a shock, no doubt, bucket. By the way,

737
00:39:06,719 --> 00:39:09,080
Speaker 1: the number of people that I'm hearing now who have COVID,

738
00:39:09,120 --> 00:39:11,880
Speaker 1: whole families that aren't even in the data, right, Like,

739
00:39:12,000 --> 00:39:14,800
Speaker 1: everybody test positive, but it's all home tests or whatever.

740
00:39:15,160 --> 00:39:17,960
Speaker 1: So we're talking about a million official cases or whatever

741
00:39:17,960 --> 00:39:19,799
Speaker 1: the heck it is. It might be two or three

742
00:39:19,880 --> 00:39:22,440
Speaker 1: times that with people who know they have it that

743
00:39:22,480 --> 00:39:25,040
Speaker 1: are staying at home. I mean, this is crazy. Mortgage

744
00:39:25,080 --> 00:39:28,200
Speaker 1: rates are still near record lows, but experts are forecasting

745
00:39:28,280 --> 00:39:31,399
Speaker 1: several increases in twenty twenty two. That's not an if,

746
00:39:31,400 --> 00:39:34,520
Speaker 1: but rather oh when and by how much? That makes

747
00:39:34,680 --> 00:39:37,600
Speaker 1: now the time to get a free mortgage review from

748
00:39:37,600 --> 00:39:40,160
Speaker 1: American Financing. It's a quick and easy way to see

749
00:39:40,160 --> 00:39:42,239
Speaker 1: if you can save up to a thousand dollars a

750
00:39:42,280 --> 00:39:45,360
Speaker 1: month without resetting your loan. It really is possible to

751
00:39:45,400 --> 00:39:48,600
Speaker 1: pay less than interest and stay on track to be

752
00:39:48,760 --> 00:39:52,840
Speaker 1: mortgage free because of American Financing they can write any

753
00:39:52,960 --> 00:39:55,759
Speaker 1: term ten years and over, so you're not wasting your

754
00:39:55,760 --> 00:39:58,279
Speaker 1: hard earned money on years you don't need. You really

755
00:39:58,320 --> 00:40:00,920
Speaker 1: do have an opportunity to save up to twelve thousand

756
00:40:00,960 --> 00:40:05,040
Speaker 1: dollars a year. American Financing has helped thousands of people

757
00:40:05,080 --> 00:40:07,399
Speaker 1: just like you for over twenty years, so you can

758
00:40:07,400 --> 00:40:09,480
Speaker 1: trust that they're good at what they do and that's

759
00:40:09,480 --> 00:40:12,239
Speaker 1: saving people like you money. So why not learn more?

760
00:40:12,440 --> 00:40:15,200
Speaker 1: You could skip get this, folks. You could skip two

761
00:40:15,239 --> 00:40:18,480
Speaker 1: mortgage payments and close on a new quick loan too.

762
00:40:18,520 --> 00:40:22,439
Speaker 1: And by the way I use American Financing, I know

763
00:40:22,600 --> 00:40:25,440
Speaker 1: how much money you can save as well, because these

764
00:40:25,440 --> 00:40:28,080
Speaker 1: guys in American Financing do incredible work. Here's how you

765
00:40:28,160 --> 00:40:30,680
Speaker 1: do it. Get your phones in your hand call eight

766
00:40:30,760 --> 00:40:34,560
Speaker 1: hundred seven seven seven eighty one O nine. That's eight

767
00:40:34,680 --> 00:40:38,040
Speaker 1: hundred seven seven seven eighty one oh nine. Or you

768
00:40:38,080 --> 00:40:41,040
Speaker 1: can visit American Financing dot net, MLS one eight two

769
00:40:41,040 --> 00:40:48,839
Speaker 1: three three four MLS, Consumer access dot org. Welcome back

770
00:40:48,840 --> 00:40:53,160
Speaker 1: in Clay Traravis, buck Sexton, show Bucks. Some bad news

771
00:40:53,320 --> 00:40:55,839
Speaker 1: for people, I would say, of our generation and even

772
00:40:55,960 --> 00:41:01,000
Speaker 1: younger and certainly older as well. They used to be

773
00:41:01,840 --> 00:41:04,799
Speaker 1: that we had all these great sitcoms. We were like

774
00:41:04,880 --> 00:41:06,759
Speaker 1: kind of in the wheelhouse. Buck. You're a couple of

775
00:41:06,840 --> 00:41:10,040
Speaker 1: years younger than I am, but you could sit around

776
00:41:10,120 --> 00:41:14,719
Speaker 1: and you could watch the family sitcom, right, And a

777
00:41:14,840 --> 00:41:19,120
Speaker 1: big part of the family sitcom was the TGIF Thank

778
00:41:19,160 --> 00:41:22,319
Speaker 1: God It's Friday. I loved it. I watched it religiously

779
00:41:22,360 --> 00:41:24,640
Speaker 1: as as like a young you're like a twelve, thirteen,

780
00:41:24,800 --> 00:41:27,560
Speaker 1: fourteen year old love us. And you could watch these

781
00:41:27,560 --> 00:41:30,480
Speaker 1: shows with your mom and dad, with your grandma and grandpa,

782
00:41:30,600 --> 00:41:33,279
Speaker 1: your younger brothers and sisters. Everybody kind of set around

783
00:41:33,320 --> 00:41:36,720
Speaker 1: the television together, whether it was The Cosby Show, whether

784
00:41:36,760 --> 00:41:40,400
Speaker 1: it was Family Ties. And this is kind of like

785
00:41:40,400 --> 00:41:43,520
Speaker 1: a gut punch Bob Saget, who was one of the

786
00:41:43,600 --> 00:41:47,279
Speaker 1: all time great TV dads from Full House and then

787
00:41:47,320 --> 00:41:50,160
Speaker 1: they had come back because my kids loved I believe

788
00:41:50,200 --> 00:41:54,160
Speaker 1: it's on Netflix Fuller House, which was like an updated

789
00:41:54,239 --> 00:41:58,319
Speaker 1: version of Full House, and so Bob Saget, sixty five

790
00:41:58,400 --> 00:42:02,399
Speaker 1: years old, out of nowhere just drop dead, I mean,

791
00:42:02,520 --> 00:42:04,560
Speaker 1: and there was no indication that he might be sick.

792
00:42:04,560 --> 00:42:08,080
Speaker 1: He had done a comedy show the night before and

793
00:42:08,080 --> 00:42:09,640
Speaker 1: and this was kind of a gut punch, kind of

794
00:42:09,640 --> 00:42:11,600
Speaker 1: came out of nowhere. I remember that was so I

795
00:42:11,600 --> 00:42:14,480
Speaker 1: think that was probably my favorite of the TGIF lineup.

796
00:42:14,480 --> 00:42:16,480
Speaker 1: And for those who were roughly within ten years of

797
00:42:16,600 --> 00:42:19,840
Speaker 1: Clays and my ages, you know we're talking about I

798
00:42:19,840 --> 00:42:23,160
Speaker 1: did love family matters. I think Carl Winslow Carl Winslow

799
00:42:23,239 --> 00:42:25,719
Speaker 1: one of the great TV dads as well. Yes, and

800
00:42:25,760 --> 00:42:28,640
Speaker 1: that whole thing came together because of the copy played

801
00:42:28,640 --> 00:42:32,040
Speaker 1: on Diehard, a movie that I share as as one

802
00:42:32,080 --> 00:42:35,279
Speaker 1: of the great loves of cinema. But yeah, he was

803
00:42:35,560 --> 00:42:37,719
Speaker 1: in full house. He was great. I had to get

804
00:42:37,760 --> 00:42:40,440
Speaker 1: a bit older, though, to learn that, like, not everyone

805
00:42:40,480 --> 00:42:42,719
Speaker 1: gets to live in a three million dollar townhouse in

806
00:42:42,760 --> 00:42:46,000
Speaker 1: San Francisco overlooking a park. You know. I was like, yeah,

807
00:42:46,000 --> 00:42:48,399
Speaker 1: this is just like, like you know how Americans live.

808
00:42:48,480 --> 00:42:49,960
Speaker 1: You know. I was a little kid because I'd never

809
00:42:50,000 --> 00:42:51,800
Speaker 1: even been to San Francisco till i was an adult.

810
00:42:51,800 --> 00:42:54,520
Speaker 1: And then I found out, Oh, oh, that's like they

811
00:42:54,560 --> 00:42:58,359
Speaker 1: basically lived in a mansion, which Welleially, I wasn't as

812
00:42:58,400 --> 00:43:01,719
Speaker 1: expensive those Victorians like kind of gingerbread houses that they

813
00:43:01,800 --> 00:43:03,839
Speaker 1: lived in. For those of you who remember that show,

814
00:43:03,880 --> 00:43:06,640
Speaker 1: by the way, I jotted down a bunch of TV

815
00:43:06,840 --> 00:43:10,800
Speaker 1: dads that I thought were pretty fantastic. I've got Bob

816
00:43:11,120 --> 00:43:15,240
Speaker 1: around that same era, Bob Saget Alan Thick, the dad

817
00:43:15,280 --> 00:43:19,040
Speaker 1: on Girl Names, Jason sever if I remember correctly. Uh,

818
00:43:19,560 --> 00:43:23,759
Speaker 1: Bill Cosby before we knew the Bill Cosby off the

819
00:43:24,400 --> 00:43:26,880
Speaker 1: don't know. I think he's canceled. I don't know what

820
00:43:26,960 --> 00:43:30,600
Speaker 1: the show itself, The Cosby Show is still really really good.

821
00:43:30,880 --> 00:43:33,600
Speaker 1: He is a great TV dad. Played the role of

822
00:43:33,640 --> 00:43:37,240
Speaker 1: a great TV dad. Carl Winslow from Family Matters, Uncle

823
00:43:37,360 --> 00:43:42,359
Speaker 1: Phil from Fresh Prince of bel airtas another fantastic dad. Um,

824
00:43:42,400 --> 00:43:44,879
Speaker 1: there used to be a lot of awesome dads back

825
00:43:44,880 --> 00:43:48,879
Speaker 1: in the day. I don't even know. I guess Goldberg's

826
00:43:49,239 --> 00:43:51,319
Speaker 1: Did you ever watch that Goldberg show? Yeah, I've never

827
00:43:51,320 --> 00:43:53,799
Speaker 1: seen that. What's it called? Like? It's it's it's the

828
00:43:53,880 --> 00:43:58,440
Speaker 1: nineteen eighties, nineties Goldberg esque show. Um, it had the

829
00:43:58,560 --> 00:44:00,759
Speaker 1: dad was I think he just got fired for all

830
00:44:00,760 --> 00:44:03,760
Speaker 1: sorts of issue. Would say Coach Eric Taylor of Friday

831
00:44:03,800 --> 00:44:07,520
Speaker 1: head Lights, that's a phenomenal Eric Taylor's fair. I want

832
00:44:07,560 --> 00:44:09,439
Speaker 1: him to be, you know, the coach of my kids team.

833
00:44:09,440 --> 00:44:11,400
Speaker 1: We gotta we gotta bring him back. We could use

834
00:44:11,440 --> 00:44:13,440
Speaker 1: coach Eric Taylor to give us pep talks during the

835
00:44:13,440 --> 00:44:16,880
Speaker 1: course of the show, like I want to wear a

836
00:44:16,960 --> 00:44:19,360
Speaker 1: Dylan Panther's T shirt or sweatshirt while I'm doing this.

837
00:44:19,360 --> 00:44:21,400
Speaker 1: I don't even wear that that silly hat with the

838
00:44:21,440 --> 00:44:23,719
Speaker 1: khaki khaki shorts he wear all the time. And you

839
00:44:23,800 --> 00:44:26,439
Speaker 1: know what I did? They sold off all of the

840
00:44:26,480 --> 00:44:29,080
Speaker 1: props from Friday Night Lights. Did you know about this, NBC?

841
00:44:29,280 --> 00:44:33,759
Speaker 1: Did I bought a Dylan Panthers Coaches polo so I

842
00:44:33,880 --> 00:44:36,440
Speaker 1: have in one of the ones that the coaches wore

843
00:44:36,960 --> 00:44:40,239
Speaker 1: on the television show. I have in my closet. Now,

844
00:44:40,280 --> 00:44:42,200
Speaker 1: we should we should have had more of that show,

845
00:44:42,360 --> 00:44:44,000
Speaker 1: I would say, I we should have gone on longer.

846
00:44:44,360 --> 00:44:46,320
Speaker 1: I got hurt by the writer's strike at one point.

847
00:44:46,600 --> 00:44:47,879
Speaker 1: But Clay also, I have to I have to give

848
00:44:47,920 --> 00:44:52,200
Speaker 1: some props. You said that Missus Travis liked Cobra Kai,

849
00:44:52,680 --> 00:44:54,880
Speaker 1: and it kind of jogged my memory because I was like,

850
00:44:54,920 --> 00:44:56,520
Speaker 1: wait a second, I mean, you know, I trust Missus

851
00:44:56,560 --> 00:44:58,560
Speaker 1: Travis's opinion on this stuff. You I don't know, mister,

852
00:44:58,600 --> 00:45:02,080
Speaker 1: I like Hamilton, but Missus Travis I trust. I went back.

853
00:45:02,120 --> 00:45:05,680
Speaker 1: Cobra Kai is amazing. Face like a very well done

854
00:45:05,680 --> 00:45:07,680
Speaker 1: show for what it is, and you can really have

855
00:45:07,719 --> 00:45:09,400
Speaker 1: the whole family watch it. Pretty much a little bit

856
00:45:09,400 --> 00:45:13,600
Speaker 1: of cursing. But yeah, So my wife watches a lot

857
00:45:13,640 --> 00:45:16,160
Speaker 1: of shows, and so I use her as the sounding board.

858
00:45:16,200 --> 00:45:19,759
Speaker 1: And she said, if you like Karate Kid, which I did,

859
00:45:20,640 --> 00:45:25,120
Speaker 1: you will love Cobra Kai. So on Friday, I was like,

860
00:45:25,160 --> 00:45:27,319
Speaker 1: you know, it's a long week. I'm just gonna kick

861
00:45:27,360 --> 00:45:30,080
Speaker 1: back and watch a show. So I watched all of

862
00:45:30,160 --> 00:45:33,160
Speaker 1: season one of Cobra Kai on Friday. You hadn't seen

863
00:45:33,200 --> 00:45:36,040
Speaker 1: it before? Oh my gosh, I watched season three. I

864
00:45:36,160 --> 00:45:39,000
Speaker 1: binge watched season three this week. I wouldn't even coordinate this. No,

865
00:45:39,160 --> 00:45:42,359
Speaker 1: I watched season one. I'm all in for seasons two, three,

866
00:45:42,400 --> 00:45:45,120
Speaker 1: and four. Now, uh, you know when football season gets

867
00:45:45,200 --> 00:45:46,719
Speaker 1: near the end, I have a little bit of free

868
00:45:46,719 --> 00:45:48,880
Speaker 1: time for a change. You know, was was LaRusso the

869
00:45:48,920 --> 00:45:50,840
Speaker 1: bad guy? It changes things up a little bit and

870
00:45:51,200 --> 00:45:54,360
Speaker 1: kind of your headspace changes a little bit. Johnny is

871
00:45:54,360 --> 00:45:57,839
Speaker 1: an incredible actor in this show. It's really funny, well done.

872
00:45:57,880 --> 00:46:00,279
Speaker 1: If you liked Karate Kid at all, good wanted to

873
00:46:00,320 --> 00:46:02,359
Speaker 1: watch with your kids? I mean, I'm watching with my kids.

874
00:46:02,360 --> 00:46:04,879
Speaker 1: Like you said, some language, but in general, not too bad.

875
00:46:05,080 --> 00:46:14,200
Speaker 1: Third hour next, we're hanging out with you. You're listening

876
00:46:14,239 --> 00:46:18,400
Speaker 1: to Clay Travis and Buck Sexton fund the EIB Network