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 --> 00:00:08,920
Speaker 1: Suxton Show podcast. Welcome back in final hour of the week.

3
00:00:09,119 --> 00:00:12,880
Speaker 1: Fourteen hours up, one to go. I hope you guys

4
00:00:12,880 --> 00:00:15,360
Speaker 1: have managed to hang out with us for a lot

5
00:00:15,440 --> 00:00:21,520
Speaker 1: of them. It has been an incredibly, incredibly news centric week,

6
00:00:21,720 --> 00:00:24,840
Speaker 1: so many different things that we have discussed. If you

7
00:00:24,880 --> 00:00:28,080
Speaker 1: missed the first couple hours of today's program, Senator Rand

8
00:00:28,120 --> 00:00:31,040
Speaker 1: Paul was on with us an hour one. He was fantastic.

9
00:00:32,159 --> 00:00:35,559
Speaker 1: Art Lapper, the famous economist was on with us in

10
00:00:35,600 --> 00:00:39,959
Speaker 1: the second hour. He was also extraordinarily good. And we're

11
00:00:40,080 --> 00:00:42,360
Speaker 1: set to be joined by Ian Miller, who I think

12
00:00:42,400 --> 00:00:44,400
Speaker 1: many of you are going to really enjoy if you

13
00:00:44,440 --> 00:00:48,000
Speaker 1: are active on social media. He does incredible work analyzing

14
00:00:48,120 --> 00:00:52,479
Speaker 1: COVID data pointing out how masks and vaccine mandates have

15
00:00:52,800 --> 00:00:56,960
Speaker 1: completely and totally failed. Speaking of which, Buck, I'm down

16
00:00:57,000 --> 00:00:59,760
Speaker 1: in the Free State of Florida. You are still wearing

17
00:00:59,760 --> 00:01:03,160
Speaker 1: your scarf, trapped in your apartment as you attempt to

18
00:01:03,200 --> 00:01:05,720
Speaker 1: recover from omicron. Do you feel, by the way back

19
00:01:05,760 --> 00:01:08,480
Speaker 1: to one hundred percent? Excuse me, sir, how do you

20
00:01:08,520 --> 00:01:11,840
Speaker 1: not know this isn't my ready to go face covering

21
00:01:11,880 --> 00:01:14,560
Speaker 1: at a moment's notice. You think it's a starf but

22
00:01:14,560 --> 00:01:18,400
Speaker 1: it could very quickly turn into a fauci anxiety napkin

23
00:01:18,520 --> 00:01:21,440
Speaker 1: at a moment's notice. And therefore I am compliant with

24
00:01:21,480 --> 00:01:24,080
Speaker 1: all this idiocy that does nothing to stop the virus.

25
00:01:24,280 --> 00:01:27,399
Speaker 1: But I am prepared, sir. I feel fine. I keep

26
00:01:27,400 --> 00:01:29,640
Speaker 1: calling it whimpy cron. It's not that bad. It's not

27
00:01:29,720 --> 00:01:32,280
Speaker 1: that bad compared to you, because I had I was

28
00:01:32,360 --> 00:01:34,560
Speaker 1: fortunate neither time that I had COVID. I had it

29
00:01:34,560 --> 00:01:37,200
Speaker 1: in November twenty twenty, and I just had what we

30
00:01:37,280 --> 00:01:40,040
Speaker 1: believe is the omicron version last week. I'm back one

31
00:01:40,080 --> 00:01:44,000
Speaker 1: hundred percent. You feel like this version because you had

32
00:01:44,000 --> 00:01:47,680
Speaker 1: it pretty severe the first time, this version of COVID.

33
00:01:47,720 --> 00:01:50,200
Speaker 1: I mean, it wasn't. You and I both had really

34
00:01:50,280 --> 00:01:53,120
Speaker 1: bad colds. People could hear it on the radio in November.

35
00:01:53,160 --> 00:01:56,400
Speaker 1: It was not COVID. This is a pale approximation, even

36
00:01:56,440 --> 00:02:00,680
Speaker 1: of that cold we had earlier in the winter fall. Right, Oh,

37
00:02:00,800 --> 00:02:03,080
Speaker 1: it was the whatever that upper respiratory thing is that

38
00:02:03,120 --> 00:02:05,120
Speaker 1: people listening to the show. No, you had it then,

39
00:02:05,160 --> 00:02:07,480
Speaker 1: I had it, not even we haven't even seen it

40
00:02:07,600 --> 00:02:09,000
Speaker 1: run in the same city. But it was spreading all

41
00:02:09,000 --> 00:02:11,639
Speaker 1: across the country. That was way worse three I've had

42
00:02:11,680 --> 00:02:14,480
Speaker 1: here with omicron. I just there's there's something funky going

43
00:02:14,520 --> 00:02:16,960
Speaker 1: on here because they say it's all omicron across the country,

44
00:02:17,560 --> 00:02:19,400
Speaker 1: and they say it's far less lethal. But we have

45
00:02:19,440 --> 00:02:23,320
Speaker 1: eighteen hundred deaths a day. So our eighteen hundred people

46
00:02:23,320 --> 00:02:26,840
Speaker 1: a day dying from omicron? Is that what we're supposed

47
00:02:26,880 --> 00:02:29,720
Speaker 1: to believe, because that doesn't seem like it's far far

48
00:02:29,880 --> 00:02:33,040
Speaker 1: less lethal than delta. So is it the five percent

49
00:02:33,120 --> 00:02:34,880
Speaker 1: of cases that are still out there that are delta

50
00:02:34,919 --> 00:02:38,000
Speaker 1: are causing ninety five percent? But I'm making up those numbers.

51
00:02:38,000 --> 00:02:41,760
Speaker 1: I oh no, No, You're asking a really significant question,

52
00:02:41,840 --> 00:02:46,920
Speaker 1: which is, if omicron is so much less deadly, how

53
00:02:47,040 --> 00:02:50,640
Speaker 1: is it that we are still having nearly two thousand

54
00:02:50,680 --> 00:02:53,280
Speaker 1: deaths a day attributed to COVID. I think one answer

55
00:02:53,440 --> 00:02:56,079
Speaker 1: is a lot of those deaths are not COVID deaths, right,

56
00:02:56,080 --> 00:02:58,320
Speaker 1: And we're starting to see if if the state of

57
00:02:58,320 --> 00:03:01,240
Speaker 1: New York, for instance, is going to come out and say, hey,

58
00:03:01,600 --> 00:03:04,960
Speaker 1: half of the people that are roughly half of the

59
00:03:05,000 --> 00:03:09,560
Speaker 1: people that are hospitalized for COVID are there with COVID,

60
00:03:09,720 --> 00:03:13,680
Speaker 1: meaning they weren't actually being hospitalized with COVID, and I

61
00:03:13,720 --> 00:03:16,280
Speaker 1: think Buck, what you're going to see is there's going

62
00:03:16,320 --> 00:03:19,160
Speaker 1: to be more and more of an examination of these numbers, because,

63
00:03:19,200 --> 00:03:22,400
Speaker 1: as you're pointing out, if omicron, which is reportedly ninety

64
00:03:22,440 --> 00:03:25,440
Speaker 1: eight or ninety nine percent of all COVID infections, now,

65
00:03:25,960 --> 00:03:29,000
Speaker 1: if it is actually the cause of these people being

66
00:03:29,000 --> 00:03:32,080
Speaker 1: in the hospital, then you wouldn't expect for COVID death

67
00:03:32,160 --> 00:03:35,040
Speaker 1: rates to continue to be around two thousand a day,

68
00:03:35,320 --> 00:03:37,240
Speaker 1: which is where we are right now. I mean, I

69
00:03:37,240 --> 00:03:39,680
Speaker 1: think I saw what wasn't the most Do you remember

70
00:03:39,680 --> 00:03:42,760
Speaker 1: what the when they kind of amplified they took a

71
00:03:42,800 --> 00:03:48,080
Speaker 1: look at what the mortality mortality rate was of delta

72
00:03:48,160 --> 00:03:51,600
Speaker 1: COVID versus omicron. I think it was at least considered

73
00:03:51,760 --> 00:03:55,640
Speaker 1: ten times less lethal, right, wasn't that something along those

74
00:03:55,680 --> 00:03:58,160
Speaker 1: lines based on the early data. Again, folks, I'm going

75
00:03:58,200 --> 00:03:59,880
Speaker 1: off of memory. There's a lot of numbers changing, So

76
00:04:00,040 --> 00:04:02,720
Speaker 1: please don't take that as as gospel, but I'm just

77
00:04:02,760 --> 00:04:05,560
Speaker 1: trying to I mean, they definitely said for a while

78
00:04:05,800 --> 00:04:10,520
Speaker 1: that South African epidemiologist who discovered omicron, the initial data

79
00:04:10,640 --> 00:04:13,120
Speaker 1: was that nobody was dying in South Africa from omicron

80
00:04:13,160 --> 00:04:15,880
Speaker 1: they were only dying from delta. So there's there's just

81
00:04:15,920 --> 00:04:17,600
Speaker 1: some things. Here were the numbers that don't add up.

82
00:04:17,600 --> 00:04:20,440
Speaker 1: And you know, Clay I had mentioned before when we

83
00:04:20,560 --> 00:04:23,640
Speaker 1: had Senator rand Paul on this, and I just wanted

84
00:04:23,680 --> 00:04:26,880
Speaker 1: to remind folks about it because I think this is

85
00:04:27,200 --> 00:04:29,680
Speaker 1: I think this is going to end up being very,

86
00:04:29,800 --> 00:04:35,240
Speaker 1: very significant. But there is data from the General Hospital

87
00:04:35,440 --> 00:04:38,640
Speaker 1: of San Francisco, a very a very big, very serious

88
00:04:38,640 --> 00:04:43,320
Speaker 1: medical institution that suggests that we're not getting the full

89
00:04:43,480 --> 00:04:47,760
Speaker 1: picture here of what's really happening with COVID infections and

90
00:04:48,320 --> 00:04:52,279
Speaker 1: mortality across the country. Here's what he put out on

91
00:04:52,279 --> 00:04:54,320
Speaker 1: his sub stack. Did you see the sub stack what

92
00:04:54,360 --> 00:04:58,880
Speaker 1: I'm talking about about it? Yeah, seventy two percent. This again,

93
00:04:58,880 --> 00:05:01,480
Speaker 1: this is Alex Barrinson's. But has anyone ever said his

94
00:05:01,600 --> 00:05:03,360
Speaker 1: data is wrong? Folks, you ever had him had to

95
00:05:03,720 --> 00:05:06,200
Speaker 1: come on and say, yeah, those numbers, those were fraudulent numbers.

96
00:05:06,240 --> 00:05:09,200
Speaker 1: Never happened, at least not that I'm aware of. Seventy

97
00:05:09,200 --> 00:05:12,480
Speaker 1: two percent of COVID patients at San Francisco General Hospital

98
00:05:13,000 --> 00:05:17,679
Speaker 1: are vaccinated, Okay, twenty six percent of them, so almost

99
00:05:17,680 --> 00:05:21,840
Speaker 1: a third are boosted and the total numbers he has

100
00:05:21,880 --> 00:05:27,520
Speaker 1: for COVID positive patients for San Francisco General Hospital nineteen unvaccinated,

101
00:05:28,279 --> 00:05:34,240
Speaker 1: thirty two vaccinated with the first two doses, eighteen boosted

102
00:05:35,760 --> 00:05:39,039
Speaker 1: and COVID positive but not admitted for COVID twenty three.

103
00:05:39,640 --> 00:05:43,240
Speaker 1: There's no way this pandemic of the unvaccinated thing that

104
00:05:43,200 --> 00:05:45,400
Speaker 1: the numbers don't add up, Clay, it just doesn't add up.

105
00:05:45,400 --> 00:05:48,280
Speaker 1: I mean, Rand Paul basically said, how many seniors are

106
00:05:48,279 --> 00:05:50,719
Speaker 1: they're out there who are on vaccinated At this point,

107
00:05:50,720 --> 00:05:53,240
Speaker 1: we've been advocating for every senior to get vaccinated, and

108
00:05:53,279 --> 00:05:56,880
Speaker 1: it's what is it now? Over ninety five percent roughly

109
00:05:56,920 --> 00:06:00,080
Speaker 1: if people over sixty five are unvaccinated and Buck, I

110
00:06:00,120 --> 00:06:03,520
Speaker 1: want to play this cut from Fauci, But what's interesting

111
00:06:03,600 --> 00:06:07,200
Speaker 1: going on right now is you have an acknowledgment from

112
00:06:07,200 --> 00:06:10,480
Speaker 1: the CDC, which they refused to talk about forever, that

113
00:06:10,680 --> 00:06:14,919
Speaker 1: natural immunity, starting in October of twenty twenty one was

114
00:06:15,080 --> 00:06:19,320
Speaker 1: better at protecting people from severe outcomes from the delta

115
00:06:19,440 --> 00:06:24,120
Speaker 1: strain than was the COVID vaccine. And you've already had

116
00:06:24,160 --> 00:06:27,400
Speaker 1: the Fizer CEO come out and say, hey, basically, the

117
00:06:27,440 --> 00:06:31,120
Speaker 1: first and second shot of our COVID vaccine provides limited,

118
00:06:31,160 --> 00:06:36,400
Speaker 1: if any protection against omicron, And so now you've got

119
00:06:36,680 --> 00:06:39,839
Speaker 1: Fauci is suddenly optimistic, Buck, And maybe this is just

120
00:06:40,279 --> 00:06:43,440
Speaker 1: Faucci recognizing I thought it was really interesting. An hour one,

121
00:06:43,560 --> 00:06:46,880
Speaker 1: what did Rand Paul tell us Buck? He said that

122
00:06:46,920 --> 00:06:50,360
Speaker 1: he thought Fauci would resign as soon as the mid

123
00:06:50,520 --> 00:06:53,800
Speaker 1: terms happened, because he would know that with Republicans back

124
00:06:53,800 --> 00:06:56,680
Speaker 1: control in the House and back in control potentially in

125
00:06:56,720 --> 00:06:59,480
Speaker 1: the Senate, that he was going to be grilled on

126
00:06:59,600 --> 00:07:03,800
Speaker 1: all of the improprieties involving his gain of function, research,

127
00:07:04,080 --> 00:07:07,880
Speaker 1: American tax dollars, his relationships with China. That he thought

128
00:07:07,960 --> 00:07:11,360
Speaker 1: he would run for the hills by November of twenty

129
00:07:11,400 --> 00:07:14,240
Speaker 1: twenty two. But it's interesting because if you listen to

130
00:07:14,280 --> 00:07:17,360
Speaker 1: this clip in conjunction with what Rand Paul just said,

131
00:07:18,040 --> 00:07:21,720
Speaker 1: it's like Fauci is starting to think, Hey, maybe I

132
00:07:21,760 --> 00:07:25,400
Speaker 1: can claim victory and go ahead and retire. And this

133
00:07:25,480 --> 00:07:28,720
Speaker 1: time he's citing natural immunity. I don't remember this ever

134
00:07:28,760 --> 00:07:32,120
Speaker 1: happening before as one of the reasons for his optimism.

135
00:07:32,160 --> 00:07:35,400
Speaker 1: Listen to this part the combination of vaccinated and boosted

136
00:07:35,480 --> 00:07:40,520
Speaker 1: people and the protection afforded by prior infection will have

137
00:07:40,560 --> 00:07:44,120
Speaker 1: a level of protection in the community so that you

138
00:07:44,200 --> 00:07:48,480
Speaker 1: won't get the situation where there's enough activity which leads

139
00:07:48,840 --> 00:07:54,160
Speaker 1: to hospitalizations, debts, and stressing the healthcare system, which in

140
00:07:54,240 --> 00:07:58,760
Speaker 1: fact answers a bit of your first question, what about omicron?

141
00:07:58,840 --> 00:08:02,160
Speaker 1: If you get infected, can you get infected again? Sure,

142
00:08:02,200 --> 00:08:05,120
Speaker 1: there are reinfections, but it is unlikely that if you

143
00:08:05,200 --> 00:08:08,680
Speaker 1: mount a good immune response, it is extremely unlikely that

144
00:08:08,760 --> 00:08:14,640
Speaker 1: you will be reinfected with the same variant. So Fauci

145
00:08:14,760 --> 00:08:19,440
Speaker 1: suddenly finds natural immunity and recognizes that it's likely to

146
00:08:19,640 --> 00:08:23,760
Speaker 1: lead us out of what has been a two year

147
00:08:23,840 --> 00:08:29,040
Speaker 1: absurdity of constant cycles of masking up and unmasking, and

148
00:08:29,080 --> 00:08:32,040
Speaker 1: then your kids can't be in school and lockdowns and

149
00:08:32,440 --> 00:08:35,199
Speaker 1: you have to wear and behave in this manner. I

150
00:08:35,280 --> 00:08:38,520
Speaker 1: really do believe that if omicron is spreading as we

151
00:08:38,600 --> 00:08:41,480
Speaker 1: believe it is, that by the summer, it's going to

152
00:08:41,520 --> 00:08:44,440
Speaker 1: be hard to justify very many restrictions at all, and

153
00:08:44,480 --> 00:08:46,839
Speaker 1: we might be right back to where we were in

154
00:08:46,920 --> 00:08:50,160
Speaker 1: May of twenty twenty one, when you remember, with great fanfare,

155
00:08:50,600 --> 00:08:53,319
Speaker 1: the CDC came out and said, if you get the vaccine,

156
00:08:53,760 --> 00:08:56,320
Speaker 1: you no longer have to wear masks, and that fun

157
00:08:56,480 --> 00:08:59,360
Speaker 1: lasted what buck about sixty days before they came back

158
00:08:59,360 --> 00:09:02,480
Speaker 1: and said, actually put mass on again. Yeah, And I

159
00:09:02,520 --> 00:09:04,199
Speaker 1: think this is the problem and Democrats are going to

160
00:09:04,320 --> 00:09:06,560
Speaker 1: run into in the midterms. They're gonna want to make

161
00:09:06,559 --> 00:09:08,600
Speaker 1: it seem like they've beaten the virus. They're gonna want

162
00:09:08,600 --> 00:09:12,960
Speaker 1: to go with the we're past it now narrative. But

163
00:09:13,040 --> 00:09:14,480
Speaker 1: in the background, they're not going to get rid of

164
00:09:14,520 --> 00:09:16,240
Speaker 1: masks on planes. I can tell you that, not before

165
00:09:16,240 --> 00:09:19,520
Speaker 1: the midterms, no, sir, because they still have their base

166
00:09:20,320 --> 00:09:25,160
Speaker 1: terrified about all this stuff. I mean irrationally terrified of COVID.

167
00:09:25,640 --> 00:09:27,680
Speaker 1: And I think what we've seen, Clay, is that no

168
00:09:27,720 --> 00:09:30,480
Speaker 1: matter what the vaccination schedule is, no matter what the

169
00:09:30,720 --> 00:09:34,440
Speaker 1: level of shots is, there's likely to be a COVID variant. Now, look,

170
00:09:34,559 --> 00:09:37,640
Speaker 1: maybe there's a COVID variant next year that's even less

171
00:09:37,679 --> 00:09:40,680
Speaker 1: concerning and super contagious, but less you know, that would

172
00:09:40,679 --> 00:09:42,960
Speaker 1: be a good thing and fine, but we could have

173
00:09:43,000 --> 00:09:44,559
Speaker 1: it just a version of what we already have now,

174
00:09:44,600 --> 00:09:46,640
Speaker 1: which is a new a new kind of omicron. I

175
00:09:46,640 --> 00:09:49,360
Speaker 1: guess what comes My Greek alphabet's not so good. I

176
00:09:49,360 --> 00:09:51,800
Speaker 1: don't know, you know, were you in a fraternity I

177
00:09:52,040 --> 00:09:54,760
Speaker 1: was for a little while. It's is it the SI?

178
00:09:55,240 --> 00:09:57,000
Speaker 1: I think it would be CI, right, look at you

179
00:09:57,040 --> 00:10:00,679
Speaker 1: with the I think I'm correct. I think that's right.

180
00:10:00,720 --> 00:10:02,320
Speaker 1: I could be totally wrong, but I think we would

181
00:10:02,320 --> 00:10:04,600
Speaker 1: go from O to the Greek P right, which would

182
00:10:04,600 --> 00:10:07,240
Speaker 1: be SI. Yeah. So so if we go to the

183
00:10:07,400 --> 00:10:10,760
Speaker 1: SI virus. Uh, then it's gonna be exactly. You know,

184
00:10:10,800 --> 00:10:12,400
Speaker 1: people are gonna get the shots and they're gonna say,

185
00:10:12,440 --> 00:10:16,680
Speaker 1: oh what hell, it's the flu protocol is what we're

186
00:10:16,720 --> 00:10:19,520
Speaker 1: going to be going through. But people still haven't been

187
00:10:19,520 --> 00:10:22,600
Speaker 1: willing to accept that that's where we are. Flu shots

188
00:10:22,600 --> 00:10:26,439
Speaker 1: work somewhat not great, they help, They're worth it for seniors.

189
00:10:26,440 --> 00:10:28,200
Speaker 1: This is the world we gotta be living in. But

190
00:10:28,440 --> 00:10:30,439
Speaker 1: I'm a firm believer in this, and I know I am.

191
00:10:30,520 --> 00:10:33,400
Speaker 1: I am an anti mask fundamentalist. Like I will say,

192
00:10:33,400 --> 00:10:35,840
Speaker 1: I will join you, I will join you, and have

193
00:10:35,920 --> 00:10:38,040
Speaker 1: been for a long time as well, like I'm that's right.

194
00:10:38,200 --> 00:10:40,240
Speaker 1: And we're we're two of the original we're some of

195
00:10:40,280 --> 00:10:44,040
Speaker 1: the original gangsters here for the Anti Mask Crew. We're

196
00:10:44,080 --> 00:10:46,959
Speaker 1: anti mask one point. Oh yeah, well, I mean we

197
00:10:47,480 --> 00:10:49,880
Speaker 1: had I should go back in the archives. How do

198
00:10:49,880 --> 00:10:52,720
Speaker 1: you want? I want to Certainly in April of twenty twenty,

199
00:10:53,040 --> 00:10:55,000
Speaker 1: you're on my radio show and I'm like, click, Travis,

200
00:10:55,080 --> 00:10:57,200
Speaker 1: sports guy. You know this is going on? What's going on?

201
00:10:57,240 --> 00:10:59,640
Speaker 1: You're like, Yeah, this is crap. Why are people wearing masks?

202
00:10:59,640 --> 00:11:04,920
Speaker 1: Doesn't make sense until people finally just realize how stupid

203
00:11:05,000 --> 00:11:09,319
Speaker 1: that is. All of this doesn't go away when when

204
00:11:09,320 --> 00:11:11,800
Speaker 1: everyone finally says, we're not masking up anymore. We're not

205
00:11:11,840 --> 00:11:16,959
Speaker 1: doing this because it's the constant psychological reminder for everybody

206
00:11:17,000 --> 00:11:19,040
Speaker 1: they see people with masks, gotta be scared, Gonna be scared,

207
00:11:19,040 --> 00:11:21,760
Speaker 1: Gonna be scared. It factors into all of the decision

208
00:11:21,800 --> 00:11:25,800
Speaker 1: making and all the public psychology about this virus. And

209
00:11:25,920 --> 00:11:28,440
Speaker 1: you know, other societies, other countries maybe have had this

210
00:11:28,520 --> 00:11:30,680
Speaker 1: going on for a long time. Those are much more

211
00:11:30,720 --> 00:11:35,600
Speaker 1: compliant society. Folks. You know you're living in China. Mask

212
00:11:35,679 --> 00:11:37,640
Speaker 1: wearing is the least of your problems when it comes

213
00:11:37,679 --> 00:11:40,640
Speaker 1: to state tyranny, No doubt. And I've actually got a

214
00:11:40,640 --> 00:11:43,280
Speaker 1: good I've got a reason for optimism. I'm gonna share

215
00:11:43,280 --> 00:11:46,600
Speaker 1: before we finished this hour, based on what I saw

216
00:11:46,600 --> 00:11:48,320
Speaker 1: at an airport. I got a good story for you, Buck,

217
00:11:48,360 --> 00:11:50,160
Speaker 1: remind me to hit it, hit us with it before

218
00:11:50,160 --> 00:11:54,560
Speaker 1: we finish. In the meantime, you know this, Valentine's gifts

219
00:11:54,720 --> 00:11:58,120
Speaker 1: sometimes don't go that well. You need to pick the

220
00:11:58,240 --> 00:12:01,440
Speaker 1: right ones. And I'm gonna tell you Tommy John is

221
00:12:01,480 --> 00:12:04,679
Speaker 1: the right Valentine's Day gift. You can get new Loungeware

222
00:12:04,720 --> 00:12:08,679
Speaker 1: pajamas underwear. Whenever you and your favorite person are wearing

223
00:12:08,720 --> 00:12:11,439
Speaker 1: Tommy John, you're that much more comfortable, so you can

224
00:12:11,440 --> 00:12:14,800
Speaker 1: do everything better. Tommy John Loungeware makes you feel perfectly

225
00:12:14,800 --> 00:12:18,079
Speaker 1: at ease every time you wear it. Imagine being comfortable

226
00:12:18,160 --> 00:12:21,200
Speaker 1: every day with something as simple as wearing the softest

227
00:12:21,240 --> 00:12:23,960
Speaker 1: best made gear there is. Their clothing made with a

228
00:12:24,000 --> 00:12:27,760
Speaker 1: fabric soft tribelend that has a four way stretch. You'll

229
00:12:27,800 --> 00:12:31,640
Speaker 1: feel the love all year long. Seventeen million pairs sold.

230
00:12:32,000 --> 00:12:36,439
Speaker 1: Tommy John's made couples across the comfort country comfier than ever.

231
00:12:36,880 --> 00:12:39,439
Speaker 1: Let them do the same for you and your Valentine

232
00:12:39,640 --> 00:12:41,680
Speaker 1: Valentine's Day, Buck, I don't know how many people you

233
00:12:41,679 --> 00:12:44,400
Speaker 1: gotta buy Valentine's gifts for maybe eight nine different girls.

234
00:12:45,040 --> 00:12:47,920
Speaker 1: Make sure that you take care of all of them.

235
00:12:47,920 --> 00:12:51,120
Speaker 1: How can you hook people up go to Tommy john

236
00:12:51,440 --> 00:12:54,800
Speaker 1: dot com slash buck at twenty percent off your first

237
00:12:54,920 --> 00:12:58,720
Speaker 1: order right now at Tommy john dot com slash buck

238
00:12:58,760 --> 00:13:03,240
Speaker 1: again Tommy dot com slash buck for twenty percent off.

239
00:13:08,679 --> 00:13:12,840
Speaker 1: If we're saying that there's no election that's legitimate, if

240
00:13:12,840 --> 00:13:16,120
Speaker 1: there are efforts to suppress the vote, then when has

241
00:13:16,160 --> 00:13:18,720
Speaker 1: there ever been a legitimate election in this country? Trying

242
00:13:18,720 --> 00:13:21,720
Speaker 1: to suppress American votes has been going on since the

243
00:13:21,760 --> 00:13:24,880
Speaker 1: founding of this country. That's not what we're saying, Jake.

244
00:13:25,000 --> 00:13:27,920
Speaker 1: People should be confident in the protections that we are

245
00:13:27,960 --> 00:13:31,520
Speaker 1: going to continue to enforce. But also we know it's

246
00:13:31,559 --> 00:13:35,000
Speaker 1: not long ago history. It is a recent history. When

247
00:13:35,040 --> 00:13:38,600
Speaker 1: the former president tried to overturn the outcome. That is

248
00:13:38,679 --> 00:13:41,120
Speaker 1: different than the effort to suppress the vote. We need

249
00:13:41,160 --> 00:13:43,559
Speaker 1: to fight against both. We need to ensure we're using

250
00:13:43,760 --> 00:13:46,959
Speaker 1: every tool at our disposal. Obviously a lot of those

251
00:13:47,000 --> 00:13:49,640
Speaker 1: would be through the Democratic National Committee, and a lot

252
00:13:49,679 --> 00:13:51,760
Speaker 1: of those are going to be through local efforts. And

253
00:13:51,880 --> 00:13:55,079
Speaker 1: that's what the President was attempting to speak to. You know,

254
00:13:55,160 --> 00:13:57,400
Speaker 1: their narrative doesn't make any sense. Can we just let

255
00:13:57,480 --> 00:14:00,920
Speaker 1: let's dive in this for a second. That was Taper

256
00:14:01,000 --> 00:14:04,640
Speaker 1: over on CNN asking, asking a real question and welcome

257
00:14:04,640 --> 00:14:07,160
Speaker 1: back the klan Buck Show. Let's take a look at

258
00:14:07,200 --> 00:14:10,960
Speaker 1: this for a second. They're telling us Clay that unless

259
00:14:11,679 --> 00:14:14,240
Speaker 1: dramatic changes are made, I just want to put this

260
00:14:14,280 --> 00:14:16,040
Speaker 1: in and then we do have to talk about the

261
00:14:16,120 --> 00:14:20,320
Speaker 1: upgraded or updated I should say M and m's I

262
00:14:20,480 --> 00:14:22,640
Speaker 1: wanted to get to that now, but I got my

263
00:14:23,040 --> 00:14:28,040
Speaker 1: cutsheet confused here for a second, their argument seems to be,

264
00:14:28,200 --> 00:14:31,160
Speaker 1: and this is why they're having so much trouble now

265
00:14:31,200 --> 00:14:32,880
Speaker 1: selling this to the public. Forget about the fact that

266
00:14:32,920 --> 00:14:35,120
Speaker 1: they were never going to really pass this and that

267
00:14:35,200 --> 00:14:37,320
Speaker 1: it was all for show because they're not going to

268
00:14:37,360 --> 00:14:40,000
Speaker 1: get the filibuster change and they knew that. But they're

269
00:14:40,040 --> 00:14:45,320
Speaker 1: really emotionally, it seems, and politically invested in this narrative

270
00:14:45,360 --> 00:14:48,640
Speaker 1: of protecting voting rights. They're the ones that want to

271
00:14:48,680 --> 00:14:53,320
Speaker 1: make dramatic changes to existing voting laws that have been

272
00:14:53,360 --> 00:14:56,400
Speaker 1: in place for you know, depending on the law we're

273
00:14:56,440 --> 00:14:59,040
Speaker 1: talking about for decades, right that it's been the way

274
00:14:59,040 --> 00:15:03,160
Speaker 1: that things are going, talking about when early voting occurs,

275
00:15:03,200 --> 00:15:06,080
Speaker 1: talking about voter id to all these different things. And

276
00:15:06,160 --> 00:15:09,120
Speaker 1: so they say, if you don't do what we want

277
00:15:09,680 --> 00:15:12,960
Speaker 1: you know, maybe we can't really trust this election is legitimate. Well,

278
00:15:13,000 --> 00:15:16,600
Speaker 1: if that's their pitch clay for this fall, how is

279
00:15:16,600 --> 00:15:18,960
Speaker 1: it that they can tell us that they accept all

280
00:15:18,960 --> 00:15:24,720
Speaker 1: the previous elections where they're preferred changes weren't actually made. It.

281
00:15:25,160 --> 00:15:27,720
Speaker 1: It doesn't hold water, doesn't hold up. What we need

282
00:15:27,760 --> 00:15:33,200
Speaker 1: Buck is an absolute ass kicking in twenty twenty two

283
00:15:33,400 --> 00:15:36,840
Speaker 1: and twenty twenty four, where it's not an in the

284
00:15:36,960 --> 00:15:40,240
Speaker 1: margin election, right, because the truth of the matter is

285
00:15:40,680 --> 00:15:44,120
Speaker 1: when the election is really close, and we've had a

286
00:15:44,120 --> 00:15:48,040
Speaker 1: lot of really close elections over the past really twenty

287
00:15:48,040 --> 00:15:52,000
Speaker 1: first century. In fact, the only real election that I

288
00:15:52,000 --> 00:15:56,000
Speaker 1: remember happening in the twenty first century where people said, yeah,

289
00:15:56,040 --> 00:16:01,320
Speaker 1: I think that wasn't really in question was Obama McCain. Right.

290
00:16:01,440 --> 00:16:05,960
Speaker 1: Obama won by enough over John McCain that nobody was like, hey,

291
00:16:06,200 --> 00:16:08,200
Speaker 1: we need to go look at the specifics in this

292
00:16:08,360 --> 00:16:12,720
Speaker 1: individual state. But if you look back Gore Bush, supertight

293
00:16:13,320 --> 00:16:17,280
Speaker 1: Bush against Carry, that John Carry and the Democrats, they

294
00:16:17,360 --> 00:16:19,960
Speaker 1: argued about what happened in Ohio, Right, they argued that

295
00:16:20,000 --> 00:16:23,400
Speaker 1: one was close. Then you had Obama Romney, which came

296
00:16:23,400 --> 00:16:25,720
Speaker 1: down to a couple of states. People argued about that

297
00:16:26,120 --> 00:16:30,200
Speaker 1: Trump and Hillary, certainly Trump and Biden. What really I

298
00:16:30,240 --> 00:16:34,760
Speaker 1: think is the essence of all these arguments over elections

299
00:16:35,320 --> 00:16:38,800
Speaker 1: is when you lose closely, you can look at the

300
00:16:38,920 --> 00:16:42,760
Speaker 1: data and figure out a reason why you were wronged. Right,

301
00:16:42,800 --> 00:16:45,800
Speaker 1: whether you're a Democrat or a Republican, everybody argues that

302
00:16:45,840 --> 00:16:49,200
Speaker 1: they actually won unless they get their ass kicked. And

303
00:16:49,360 --> 00:16:51,840
Speaker 1: that's why we need I really mean this buck in

304
00:16:51,920 --> 00:16:55,960
Speaker 1: twenty twenty two and in twenty twenty four. It needs

305
00:16:56,000 --> 00:16:59,080
Speaker 1: to be such a thorough ass kicking. You know, nobody

306
00:16:59,160 --> 00:17:02,760
Speaker 1: argued about the election results in nineteen eighty four when

307
00:17:02,840 --> 00:17:06,800
Speaker 1: Ronald Reagan destroyed Walter Mondale. Right, everybody's like, well, you

308
00:17:06,840 --> 00:17:09,240
Speaker 1: know what, this was a crushing Nobody argued in eighty

309
00:17:09,240 --> 00:17:13,040
Speaker 1: eight when George H. W. Bush took it to Michael Decoccus.

310
00:17:13,560 --> 00:17:16,359
Speaker 1: I don't really remember arguments at ninety two or ninety six.

311
00:17:17,160 --> 00:17:21,480
Speaker 1: What we really have to have is just a real win,

312
00:17:22,080 --> 00:17:25,200
Speaker 1: a win that is not disputable in the margins, based

313
00:17:25,240 --> 00:17:28,639
Speaker 1: on a few thousand votes in an election state. And

314
00:17:28,920 --> 00:17:31,200
Speaker 1: that's where I think we need to be sooner rather

315
00:17:31,240 --> 00:17:34,280
Speaker 1: than later. I mean that I totally agree by the way,

316
00:17:34,280 --> 00:17:36,040
Speaker 1: we have to win by so much that it's not

317
00:17:36,160 --> 00:17:39,080
Speaker 1: something that could reasonably be questioned, because if it can,

318
00:17:39,119 --> 00:17:41,480
Speaker 1: they will, and they'll just use it as a political

319
00:17:41,520 --> 00:17:44,160
Speaker 1: weapon in the most cynical fashion, which is what they've

320
00:17:44,200 --> 00:17:47,760
Speaker 1: done in the past anyway, But this time around, I'm

321
00:17:47,760 --> 00:17:50,520
Speaker 1: with you. They got to get crushed. It can't be close.

322
00:17:51,000 --> 00:17:54,119
Speaker 1: Audience has been generous. We appreciate all of you for

323
00:17:54,200 --> 00:17:57,520
Speaker 1: supporting Tunnel to the Towers. This is a dedicated organization

324
00:17:57,520 --> 00:17:59,680
Speaker 1: of people with a mission to provide support to a

325
00:17:59,760 --> 00:18:02,879
Speaker 1: mayor because heroes and their families. Ever since nine to eleven,

326
00:18:03,240 --> 00:18:06,600
Speaker 1: when a first responder or military service member doesn't come home,

327
00:18:06,680 --> 00:18:09,440
Speaker 1: young children are left behind. Tunnel of the Towers pays

328
00:18:09,480 --> 00:18:11,960
Speaker 1: off their mortgage to lift the financial burden and bring

329
00:18:12,000 --> 00:18:15,840
Speaker 1: their families stability. That's why the operation home base at

330
00:18:15,840 --> 00:18:19,760
Speaker 1: Tunnel the Towers is gifting tiny homes to homeless veterans.

331
00:18:19,840 --> 00:18:22,800
Speaker 1: Our nation's heroes, people would put their lives on the

332
00:18:22,840 --> 00:18:26,120
Speaker 1: line for our country and our community communities need your help.

333
00:18:26,280 --> 00:18:29,480
Speaker 1: You can help these heroes and their families. Join Tunnel

334
00:18:29,560 --> 00:18:32,119
Speaker 1: the Towers on its mission to do good in their honor.

335
00:18:32,440 --> 00:18:36,840
Speaker 1: Donate eleven dollars a month at t TWOT dot org.

336
00:18:36,920 --> 00:18:39,440
Speaker 1: I want you to listen carefully to me. That's t

337
00:18:40,040 --> 00:18:44,760
Speaker 1: the number two T dot org. Donate eleven dollars a month.

338
00:18:44,960 --> 00:18:53,679
Speaker 1: Do it today. Welcome back in Clay Travis buck Sexton show.

339
00:18:53,720 --> 00:18:57,320
Speaker 1: I hope all of you are having fantastic Fridays. Hope

340
00:18:57,320 --> 00:19:01,199
Speaker 1: you're gonna have spectacular Weekend's gonna go check out NFL

341
00:19:01,240 --> 00:19:04,360
Speaker 1: playoff game in my hometown of Nashville. Cincinnati Bengals coming

342
00:19:04,400 --> 00:19:07,720
Speaker 1: to town taking the boys. Hopefully the Titans can win

343
00:19:07,720 --> 00:19:11,159
Speaker 1: a game. We bring in now Ian Miller, who I

344
00:19:11,320 --> 00:19:17,399
Speaker 1: found online because he does such incredible data analysis and graphs.

345
00:19:18,720 --> 00:19:22,960
Speaker 1: He's at Ian m SC. I just tweeted out his handle.

346
00:19:23,400 --> 00:19:26,399
Speaker 1: If you are active on social media, I encourage you

347
00:19:26,560 --> 00:19:31,280
Speaker 1: to follow him. Ian. You take a great deal of

348
00:19:31,359 --> 00:19:36,199
Speaker 1: glee in pointing out the absurdity of mask and vaccine

349
00:19:36,240 --> 00:19:39,600
Speaker 1: mandates in terms of stopping the spread of COVID. In

350
00:19:39,680 --> 00:19:43,960
Speaker 1: any way, when did you start to make these graphs?

351
00:19:44,400 --> 00:19:49,600
Speaker 1: And how much viewership have your graphs gotten over time?

352
00:19:49,680 --> 00:19:52,159
Speaker 1: Do you have any real idea you're doing the Lord's

353
00:19:52,200 --> 00:19:56,680
Speaker 1: work here and sharing this stuff. Well, thank you very much.

354
00:19:57,480 --> 00:20:00,800
Speaker 1: I started doing it. I would say last summer when

355
00:20:00,800 --> 00:20:04,000
Speaker 1: it really took off. I know it's it's the numbers

356
00:20:04,000 --> 00:20:06,919
Speaker 1: are pretty crazy. You on Twitter has a shows you

357
00:20:06,920 --> 00:20:08,760
Speaker 1: with the analytics and it's you know, it's tens of

358
00:20:08,800 --> 00:20:12,399
Speaker 1: millions of views per month, which is fantastic. And I

359
00:20:12,440 --> 00:20:14,840
Speaker 1: know it's gotten into the hands of some some very

360
00:20:14,880 --> 00:20:19,040
Speaker 1: influential political people, leaders and politicians. So I've been very

361
00:20:19,240 --> 00:20:22,040
Speaker 1: humbled and grateful that it's it's done as well as

362
00:20:22,080 --> 00:20:25,320
Speaker 1: that has ian. You know, we've got this this book

363
00:20:25,359 --> 00:20:30,320
Speaker 1: out this week, Unmasked, the Global Failure of COVID mask Mandates.

364
00:20:30,560 --> 00:20:32,679
Speaker 1: That's like one of my favorite book titles I've been

365
00:20:32,680 --> 00:20:34,520
Speaker 1: able to read out loud in a long time because,

366
00:20:34,560 --> 00:20:38,800
Speaker 1: as I was just describing, I am an anti masking fanatic.

367
00:20:38,880 --> 00:20:42,120
Speaker 1: I think that this is insane and horrifying, and it's

368
00:20:42,200 --> 00:20:44,480
Speaker 1: a mass hysteria and has been from the very beginning.

369
00:20:44,840 --> 00:20:46,400
Speaker 1: What are some of them mean? What? You know, as

370
00:20:46,400 --> 00:20:49,000
Speaker 1: you know, this is still highly contentious, and there are

371
00:20:49,000 --> 00:20:51,479
Speaker 1: a lot of people who think of themselves is very smart.

372
00:20:51,520 --> 00:20:54,119
Speaker 1: They're not, but they have big perches in the media

373
00:20:54,160 --> 00:20:58,560
Speaker 1: and in government who still take it as effectively settled

374
00:20:58,600 --> 00:21:01,440
Speaker 1: science that mask men dates work. You've got this book,

375
00:21:01,560 --> 00:21:04,239
Speaker 1: Unmasked you're looking at all the data, just give us

376
00:21:04,280 --> 00:21:05,960
Speaker 1: some of your best stuff. I mean, what are some

377
00:21:06,000 --> 00:21:11,800
Speaker 1: of your best punches at the Fauci mask madness? Right? Well,

378
00:21:12,000 --> 00:21:14,920
Speaker 1: I think one of the best examples is in California,

379
00:21:15,000 --> 00:21:16,960
Speaker 1: where you know, you have Los Angeles, which has been

380
00:21:16,960 --> 00:21:19,400
Speaker 1: as devoted to this as anybody, and Los Angeles has

381
00:21:19,520 --> 00:21:22,760
Speaker 1: essentially been under a mask mandate since April twenty twenty

382
00:21:23,080 --> 00:21:25,480
Speaker 1: and has some of the highest, you know, COVID case

383
00:21:25,560 --> 00:21:27,639
Speaker 1: rates in the world, death rates in the world as well,

384
00:21:28,480 --> 00:21:31,760
Speaker 1: and people. The La County Public Health Department just recently

385
00:21:31,760 --> 00:21:34,040
Speaker 1: put out a press release saying that they've measured businesses

386
00:21:34,080 --> 00:21:36,440
Speaker 1: went around it had ninety five plus some people were

387
00:21:36,480 --> 00:21:40,200
Speaker 1: wearing masks, and La reported one of the highest individual

388
00:21:40,240 --> 00:21:42,439
Speaker 1: case rates that we've seen anywhere in the United States recently.

389
00:21:42,560 --> 00:21:46,440
Speaker 1: So they're measuring it as everybody's wearing it. It's still

390
00:21:46,440 --> 00:21:49,160
Speaker 1: not working. The numbers are still skyrocketing through the roof,

391
00:21:49,840 --> 00:21:51,600
Speaker 1: and there's and there's many examples of that. But that's

392
00:21:51,640 --> 00:21:53,480
Speaker 1: one of my favorites, just because we know for a

393
00:21:53,520 --> 00:21:56,840
Speaker 1: fact that everybody's complying here in California and it's it's

394
00:21:56,840 --> 00:22:01,760
Speaker 1: not working. So if it's not working we saw in England,

395
00:22:01,800 --> 00:22:04,040
Speaker 1: and you can say, well, it's because Boris Johnson is

396
00:22:04,119 --> 00:22:07,400
Speaker 1: under a great deal of political pressure, but it's almost

397
00:22:07,440 --> 00:22:10,359
Speaker 1: like that pressure gave him the confidence to finally do

398
00:22:10,560 --> 00:22:12,760
Speaker 1: what the data has shown him for a long time,

399
00:22:13,240 --> 00:22:16,720
Speaker 1: which is to eliminate their national mask mandate and also

400
00:22:17,200 --> 00:22:21,880
Speaker 1: to eliminate their vaccine passports. The data is the exact same,

401
00:22:21,960 --> 00:22:25,520
Speaker 1: if not more so, in the United States. When will

402
00:22:26,200 --> 00:22:29,720
Speaker 1: any politician on the Democratic side of the aisle, in

403
00:22:29,800 --> 00:22:32,879
Speaker 1: your opinion, based on what you are seeing, actually have

404
00:22:32,960 --> 00:22:36,720
Speaker 1: the confidence to say anything similar to what Boris Johnson said,

405
00:22:38,920 --> 00:22:41,119
Speaker 1: it's a great question. I don't know that it's going

406
00:22:41,119 --> 00:22:44,520
Speaker 1: to happen anytime soon. I Jared Polis from Colorado was

407
00:22:44,560 --> 00:22:47,840
Speaker 1: the closest, and he basically said, you know, other states

408
00:22:47,840 --> 00:22:50,280
Speaker 1: have done this, We're not seeing better results there. It

409
00:22:50,320 --> 00:22:53,240
Speaker 1: requires the willingness to kind of admit that everything that

410
00:22:53,240 --> 00:22:55,359
Speaker 1: they were doing for the last two years didn't work

411
00:22:55,480 --> 00:23:00,560
Speaker 1: and never worked, and that is very tougher polititians to do.

412
00:23:00,640 --> 00:23:03,359
Speaker 1: And I think Boris Johnson had the you know, he

413
00:23:03,400 --> 00:23:05,359
Speaker 1: was getting criticism from his own side of the aisle,

414
00:23:05,400 --> 00:23:09,040
Speaker 1: and unfortunately Democrats are not criticizing each other. You know,

415
00:23:09,080 --> 00:23:11,400
Speaker 1: they're not saying we should end masks made, if they're

416
00:23:11,400 --> 00:23:13,119
Speaker 1: just doing more of it. There's now it's we're going

417
00:23:13,160 --> 00:23:16,120
Speaker 1: to send four hundred million and ninety five masks out there,

418
00:23:16,560 --> 00:23:18,440
Speaker 1: which will be just as useless as the other ones.

419
00:23:18,880 --> 00:23:20,479
Speaker 1: And you know, for following a twies you know, I've

420
00:23:20,520 --> 00:23:22,920
Speaker 1: posted Germany already does this. They already have in ninety

421
00:23:22,920 --> 00:23:25,720
Speaker 1: five man dates in cases there are at record highs

422
00:23:25,800 --> 00:23:28,200
Speaker 1: right now. So I don't know when that's going to happen.

423
00:23:28,240 --> 00:23:30,080
Speaker 1: I hope it's soon, but I don't I don't see

424
00:23:30,080 --> 00:23:32,800
Speaker 1: it happening anytime ten right now. Ian. That's that's very

425
00:23:32,840 --> 00:23:36,520
Speaker 1: interesting because you know, early on some of the masks studies,

426
00:23:36,560 --> 00:23:39,639
Speaker 1: if anyone actually bothered to read studies of that are

427
00:23:39,720 --> 00:23:44,080
Speaker 1: on the CDC website and we're peer reviewed. Control studied

428
00:23:44,720 --> 00:23:49,800
Speaker 1: mask mask situations. It showed that cloth masks are essentially

429
00:23:49,840 --> 00:23:52,200
Speaker 1: against whether it's measles or the flu, cloth masks or

430
00:23:52,240 --> 00:23:55,000
Speaker 1: a joke, they don't really do anything. But there was

431
00:23:55,040 --> 00:23:57,639
Speaker 1: always this belief that we'll end ninety five masks because

432
00:23:58,080 --> 00:24:03,440
Speaker 1: unlike cloth masks, at least the basic aerodynamics and mechanics

433
00:24:03,440 --> 00:24:06,000
Speaker 1: of this might line up right that the opening in

434
00:24:06,119 --> 00:24:08,520
Speaker 1: the mask fibers is small enough that a virus wouldn't

435
00:24:08,520 --> 00:24:10,800
Speaker 1: freely pass through it. But it sounds like what you're

436
00:24:10,800 --> 00:24:13,080
Speaker 1: telling me is that even in Germany, where they did

437
00:24:13,119 --> 00:24:17,240
Speaker 1: the N ninety five mask mandate upgrade, which is currently

438
00:24:17,400 --> 00:24:21,560
Speaker 1: fashionable among fauciites in America, that it didn't do there

439
00:24:21,640 --> 00:24:25,880
Speaker 1: was no discernible difference in case caseload in Germany after

440
00:24:25,920 --> 00:24:29,520
Speaker 1: the N ninety five masks. Is that right? That's correct,

441
00:24:29,880 --> 00:24:32,080
Speaker 1: And you can go and look and a couple of

442
00:24:32,080 --> 00:24:34,679
Speaker 1: their provinces or excuse me, states already you know, had

443
00:24:34,800 --> 00:24:37,840
Speaker 1: N ninety five mandates and some only had surgical grade

444
00:24:37,880 --> 00:24:40,959
Speaker 1: mask mandates, and the ones with the surgical mask mandates

445
00:24:40,960 --> 00:24:43,320
Speaker 1: have done better than those with the N ninety five mandates.

446
00:24:43,960 --> 00:24:46,200
Speaker 1: There's just no difference. And we've seen this play out

447
00:24:46,359 --> 00:24:49,159
Speaker 1: all over the world. But it's even when when you

448
00:24:49,240 --> 00:24:51,480
Speaker 1: compare a real world data. And obviously a lot of

449
00:24:51,520 --> 00:24:54,439
Speaker 1: these studies are you know, we're very well done, but

450
00:24:54,440 --> 00:24:57,800
Speaker 1: some are also just mechanistic lab studies where oh, we

451
00:24:57,920 --> 00:25:00,160
Speaker 1: think it might work in the lab, but the when

452
00:25:00,160 --> 00:25:02,920
Speaker 1: you get into the real world, if it's not fitted properly,

453
00:25:03,000 --> 00:25:06,040
Speaker 1: it's still going to have their results leaking out from

454
00:25:06,040 --> 00:25:09,040
Speaker 1: the sides, and so it's not totally surprising. But in

455
00:25:09,080 --> 00:25:11,080
Speaker 1: the real world that hasn't made any difference at all.

456
00:25:11,440 --> 00:25:14,960
Speaker 1: We're talking to Ian Miller. We encourage you to go

457
00:25:15,080 --> 00:25:18,600
Speaker 1: check out his book which is Unmasked, a Global Failure

458
00:25:18,600 --> 00:25:22,160
Speaker 1: of COVID mask mandates. Also you can check him out

459
00:25:22,359 --> 00:25:26,640
Speaker 1: read his sub stack Unmasked, which is also fantastic at

460
00:25:26,680 --> 00:25:31,119
Speaker 1: Ian m sc on Twitter. So we know that we

461
00:25:31,160 --> 00:25:34,320
Speaker 1: have failed. We know that many Western democracies have failed

462
00:25:34,359 --> 00:25:38,240
Speaker 1: in our response to COVID. Who has done the best job?

463
00:25:38,400 --> 00:25:40,479
Speaker 1: Which country? Based on you look a lot of this

464
00:25:40,600 --> 00:25:44,040
Speaker 1: data and analyze so many different countries based on what

465
00:25:44,119 --> 00:25:48,160
Speaker 1: you've seen, who's done the best job maintaining normalcy while

466
00:25:48,280 --> 00:25:51,560
Speaker 1: still responding in some way to COVID. What was the

467
00:25:51,600 --> 00:25:57,119
Speaker 1: optimal response country that you could point to. The obvious

468
00:25:57,160 --> 00:25:59,199
Speaker 1: answer would be Sweden. I think that they've done the

469
00:25:59,200 --> 00:26:01,920
Speaker 1: best job. They haven't been perfect, and their their leaders

470
00:26:01,960 --> 00:26:03,760
Speaker 1: would tell you, you you know, we made some mistakes early

471
00:26:03,800 --> 00:26:07,320
Speaker 1: on with nursing homes, but you know, they never mandated mass,

472
00:26:07,400 --> 00:26:10,200
Speaker 1: they never enforced mask usage, they didn't have strict lockdowns.

473
00:26:10,200 --> 00:26:13,360
Speaker 1: It was much more voluntary you know, some capacity women's

474
00:26:13,359 --> 00:26:15,720
Speaker 1: things like that. They tried as much to keep normal

475
00:26:15,760 --> 00:26:19,520
Speaker 1: life going without making COVID the sole focus of all

476
00:26:19,520 --> 00:26:21,960
Speaker 1: of their policy, and I think they succeeded. And the

477
00:26:22,000 --> 00:26:24,920
Speaker 1: results show that, you know, and I posted you write

478
00:26:24,920 --> 00:26:27,560
Speaker 1: about it in the book, but they're in the right now.

479
00:26:27,600 --> 00:26:30,680
Speaker 1: I think they're around sixtieth in the world in immortality rate,

480
00:26:30,720 --> 00:26:34,919
Speaker 1: which is unexceptional, I mean much the countries that did lockdowns,

481
00:26:34,920 --> 00:26:37,640
Speaker 1: like Peru and mass Mandates. Peru is the highest death

482
00:26:37,720 --> 00:26:40,640
Speaker 1: rate in the world, and so they've disrupted their their

483
00:26:40,640 --> 00:26:43,760
Speaker 1: social life, that disrupted their economic life. Did all the

484
00:26:43,760 --> 00:26:46,760
Speaker 1: mass mandates in the lockdowns and had significantly worse results,

485
00:26:46,800 --> 00:26:50,240
Speaker 1: whereas Sweden tried to avoid all that. They've really followed

486
00:26:50,920 --> 00:26:53,840
Speaker 1: all of the guidance pre COVID what they said to do,

487
00:26:54,520 --> 00:26:56,520
Speaker 1: and it worked out just fine for them. They did,

488
00:26:56,640 --> 00:26:59,680
Speaker 1: they did just fine. I want to know something and

489
00:27:00,119 --> 00:27:02,639
Speaker 1: you get a lot of you know, one of the

490
00:27:02,680 --> 00:27:05,480
Speaker 1: things that's been interesting for both Clay and me, this

491
00:27:05,640 --> 00:27:08,760
Speaker 1: entire pandemic or the doctors who will reach out behind

492
00:27:08,800 --> 00:27:13,040
Speaker 1: the scenes and say, you know, I can't say this

493
00:27:13,080 --> 00:27:15,840
Speaker 1: publicly because they'll go after my license or my hospital

494
00:27:15,880 --> 00:27:18,040
Speaker 1: will take away my privileges and all this stuff. But

495
00:27:18,680 --> 00:27:21,120
Speaker 1: you know, what you guys said about x or y,

496
00:27:21,320 --> 00:27:24,480
Speaker 1: usually in criticism of Fauci, is true, and a lot

497
00:27:24,520 --> 00:27:27,160
Speaker 1: of our colleagues in the medical community know it's true.

498
00:27:27,440 --> 00:27:29,399
Speaker 1: I'm wondering what that's been like for you as a guy.

499
00:27:29,440 --> 00:27:32,080
Speaker 1: It's just very busy. You have this very direct approach

500
00:27:32,080 --> 00:27:35,160
Speaker 1: of the data. You know, you're just using the actual

501
00:27:35,320 --> 00:27:38,840
Speaker 1: CDC numbers and data and visual and letting people visualize

502
00:27:38,840 --> 00:27:40,840
Speaker 1: a by putting out these graphs. Do you have a

503
00:27:40,840 --> 00:27:42,840
Speaker 1: lot of medical people reaching out to you, and also

504
00:27:42,880 --> 00:27:44,119
Speaker 1: do you have people who reach out to you and

505
00:27:44,160 --> 00:27:47,040
Speaker 1: say who are mds? Who say, wow, you know now

506
00:27:47,040 --> 00:27:51,879
Speaker 1: that I see this, masks really don't do a damn thing. Yeah,

507
00:27:51,920 --> 00:27:54,680
Speaker 1: that has happened. It is surprising. And I think one

508
00:27:54,720 --> 00:27:57,400
Speaker 1: thing people forget is that a lot of times doctors,

509
00:27:57,440 --> 00:27:59,679
Speaker 1: you know, they're they're busy, there's some patience, they're working,

510
00:28:00,040 --> 00:28:01,720
Speaker 1: they're not really looking at a lot of the data.

511
00:28:01,800 --> 00:28:04,000
Speaker 1: And a lot of times the doctors that we see

512
00:28:04,040 --> 00:28:06,679
Speaker 1: on Twitter that are just kind of parroting the Faucie narrative,

513
00:28:07,520 --> 00:28:11,359
Speaker 1: you know, they're just repeating what influential people are saying.

514
00:28:11,400 --> 00:28:13,639
Speaker 1: They don't really go and look at the actual research

515
00:28:13,760 --> 00:28:18,040
Speaker 1: themselves very often. So it has been gratifying to hear

516
00:28:18,080 --> 00:28:19,600
Speaker 1: people that said, you know, I didn't really look at this.

517
00:28:19,640 --> 00:28:22,600
Speaker 1: I just kind of listen to what everybody else was saying.

518
00:28:22,920 --> 00:28:25,800
Speaker 1: But now seeing it, I understand it's not working, and

519
00:28:25,800 --> 00:28:29,000
Speaker 1: I'm trying to incorporate that into my own practice or

520
00:28:29,280 --> 00:28:31,680
Speaker 1: you know, and I've got people reach out about contributing

521
00:28:31,680 --> 00:28:33,680
Speaker 1: to lawsuits and things like that. So it's been really

522
00:28:33,680 --> 00:28:36,080
Speaker 1: gratifying to hear from people and validating to hear that

523
00:28:36,400 --> 00:28:38,360
Speaker 1: a lot of experts do agree with this, and they

524
00:28:38,400 --> 00:28:41,800
Speaker 1: just can't feel they can't speak out publicly for fear

525
00:28:41,800 --> 00:28:45,280
Speaker 1: of retribution, which is just insane. Well, the book is

526
00:28:45,440 --> 00:28:49,840
Speaker 1: Unmasked the Global Failure of COVID mask Mandates. I'm going

527
00:28:49,880 --> 00:28:51,480
Speaker 1: to get a copy and just keep it on my wall,

528
00:28:51,520 --> 00:28:54,200
Speaker 1: you know, keep it right there, just because I hate

529
00:28:54,240 --> 00:28:57,360
Speaker 1: these mask mandates. Ian Miller, everybody check them out. Ian

530
00:28:57,680 --> 00:29:03,120
Speaker 1: MSc on Twitter, I thank you so much, Thank you. Look,

531
00:29:03,160 --> 00:29:06,040
Speaker 1: this has been another whirlwind week on Wall Street, reminding

532
00:29:06,080 --> 00:29:08,320
Speaker 1: us one more time that protecting the value of your

533
00:29:08,320 --> 00:29:12,480
Speaker 1: savings account is against economic factors far out of your control.

534
00:29:12,960 --> 00:29:15,160
Speaker 1: You can protect the value of your hard earned savings

535
00:29:15,160 --> 00:29:18,440
Speaker 1: and your IRA as well. You do that by purchasing gold.

536
00:29:18,440 --> 00:29:21,000
Speaker 1: I'm talking about real gold as part of your savings plan.

537
00:29:21,440 --> 00:29:24,200
Speaker 1: That protection the purchase of gold, which has proven over

538
00:29:24,240 --> 00:29:26,840
Speaker 1: time to only grow in value, particularly when our dollar

539
00:29:27,080 --> 00:29:30,240
Speaker 1: is losing value, and that certainly happened over the last

540
00:29:30,240 --> 00:29:32,880
Speaker 1: twelve months. Our partners at the Oxford Gold Group or

541
00:29:32,880 --> 00:29:35,320
Speaker 1: whoever lied on for the purchase of gold and precious metals,

542
00:29:35,440 --> 00:29:38,880
Speaker 1: They've made it easy to take actual physical possession of

543
00:29:38,960 --> 00:29:42,000
Speaker 1: gold that I've purchased. I'm talking about holding real gold

544
00:29:42,040 --> 00:29:44,120
Speaker 1: in your hands. It's a memorable moment, by the way,

545
00:29:44,120 --> 00:29:46,480
Speaker 1: the first time you do it. Buying real gold is

546
00:29:46,520 --> 00:29:49,880
Speaker 1: not complicated. Call the Oxford Gold Group. They'll explain everything

547
00:29:49,920 --> 00:29:52,320
Speaker 1: to you. Having real gold delivered to your home or

548
00:29:52,360 --> 00:29:55,000
Speaker 1: having real gold as part of your IRA is just

549
00:29:55,080 --> 00:29:57,920
Speaker 1: a phone call away with Oxford Gold. Call them at

550
00:29:57,960 --> 00:30:00,440
Speaker 1: eight three three four zero four Gold. Learn how you

551
00:30:00,440 --> 00:30:03,040
Speaker 1: can have real gold in your IRA and delivered to

552
00:30:03,080 --> 00:30:05,600
Speaker 1: your door. That's the Oxford Gold Group at eight three

553
00:30:05,680 --> 00:30:08,880
Speaker 1: three four zero four Gold eight three three four zero

554
00:30:08,960 --> 00:30:16,960
Speaker 1: four g O L D. Welcome back to the final

555
00:30:17,160 --> 00:30:19,960
Speaker 1: segment this week of the Clay Travis and Buck Sexton Show.

556
00:30:20,000 --> 00:30:22,200
Speaker 1: If you missed any of it, by the way, please

557
00:30:22,320 --> 00:30:26,200
Speaker 1: go check out and subscribe to the Clay end Buck podcast.

558
00:30:26,240 --> 00:30:27,520
Speaker 1: And also you can go to the Clay and Buck

559
00:30:27,560 --> 00:30:31,880
Speaker 1: website at Klayinbuck dot com for transcripts and news stories

560
00:30:31,920 --> 00:30:34,800
Speaker 1: that we talk about, and at Buck Sexton dot com.

561
00:30:34,840 --> 00:30:36,800
Speaker 1: I made the pitch that Biden's year two is going

562
00:30:36,840 --> 00:30:38,080
Speaker 1: to be even worse than an op ed. You can

563
00:30:38,160 --> 00:30:41,400
Speaker 1: check that out. And the out kick story. I'm throwing everything,

564
00:30:41,680 --> 00:30:44,440
Speaker 1: throwing and everything out there on Leah Thomas versus the

565
00:30:44,480 --> 00:30:47,760
Speaker 1: other transgender swimmer and was their collusion behind the scenes.

566
00:30:47,840 --> 00:30:50,680
Speaker 1: So some weekend reading for all of you there, go

567
00:30:50,760 --> 00:30:57,160
Speaker 1: check all that out. And Ireland, Ireland now joining the

568
00:30:57,200 --> 00:31:01,440
Speaker 1: freedom movement, it seems here from fauciit mats just breaking now.

569
00:31:02,120 --> 00:31:06,000
Speaker 1: The country of Ireland is scrapping almost all of its

570
00:31:06,040 --> 00:31:11,920
Speaker 1: COVID nineteen restrictions tomorrow. They're getting rid of and by

571
00:31:11,960 --> 00:31:15,680
Speaker 1: the way, Ireland was a super high vaccination country, incredibly

572
00:31:15,680 --> 00:31:21,440
Speaker 1: strict about lockdowns. They are getting rid of vaccine passports,

573
00:31:21,720 --> 00:31:24,440
Speaker 1: capacities all at full i mean sorry, venues all at

574
00:31:24,440 --> 00:31:29,360
Speaker 1: full capacity. They're gonna require masks on public transport, but

575
00:31:29,480 --> 00:31:33,480
Speaker 1: only until February, and then they're gonna drop that too,

576
00:31:33,800 --> 00:31:36,720
Speaker 1: So it's all and they're saying the excitement is palpable,

577
00:31:36,800 --> 00:31:40,560
Speaker 1: where it's all going away. Clay, this is what a

578
00:31:40,760 --> 00:31:44,520
Speaker 1: rational response to the massive failure of faucism would be

579
00:31:44,560 --> 00:31:47,720
Speaker 1: anywhere in the world, which is just it didn't work, guys,

580
00:31:48,080 --> 00:31:51,200
Speaker 1: stop the crazy crap. It didn't work. I think this

581
00:31:51,280 --> 00:31:54,240
Speaker 1: is what Biden's going to have to do in July

582
00:31:54,480 --> 00:31:57,640
Speaker 1: or August, in advance of the mid terms. I think

583
00:31:57,680 --> 00:32:00,720
Speaker 1: He's gonna have to declare victory against COVID, say it's

584
00:32:00,760 --> 00:32:03,520
Speaker 1: time to go back to normalcy and take the hits

585
00:32:03,520 --> 00:32:07,240
Speaker 1: that he gets from the left wing anxiety crowd. And

586
00:32:07,360 --> 00:32:09,480
Speaker 1: let me give people that first of all, that news

587
00:32:09,520 --> 00:32:13,480
Speaker 1: from Ireland is fantastic because paired with England, that's two

588
00:32:13,560 --> 00:32:18,480
Speaker 1: Western democracies making rational decisions surrounding COVID, which is two

589
00:32:18,480 --> 00:32:21,240
Speaker 1: more almost than we've had for a long time. I

590
00:32:21,440 --> 00:32:24,400
Speaker 1: flew down here to Florida, and I'm looking forward again

591
00:32:24,480 --> 00:32:28,160
Speaker 1: for our event with WFSX, our affiliate down here in

592
00:32:28,200 --> 00:32:32,880
Speaker 1: Fort Myers, Southwest Florida. But I flew down here Buck

593
00:32:33,440 --> 00:32:36,920
Speaker 1: and the first flight that I have taken since the

594
00:32:36,960 --> 00:32:41,080
Speaker 1: mask mandate happened. They didn't make any comments on my

595
00:32:41,160 --> 00:32:44,920
Speaker 1: Southwest Airlines flight about needing to keep your masks up.

596
00:32:45,280 --> 00:32:50,360
Speaker 1: Not one, no flight attendant, no announcement, no policing of

597
00:32:50,400 --> 00:32:52,560
Speaker 1: it as you walked up and down the line. Now,

598
00:32:52,640 --> 00:32:56,080
Speaker 1: maybe that was just a very lenient crew that I

599
00:32:56,120 --> 00:32:58,840
Speaker 1: happened to have. But the other thing that I noticed, Buck,

600
00:32:58,880 --> 00:33:01,320
Speaker 1: have you seen this where when they go around either

601
00:33:01,360 --> 00:33:04,600
Speaker 1: they were stopping giving out snacks right for a long time,

602
00:33:04,640 --> 00:33:07,280
Speaker 1: They're like, well whatever. And then on Southwest, and I

603
00:33:07,360 --> 00:33:10,239
Speaker 1: fly Southwest Airlines a lot, they would walk up with

604
00:33:10,360 --> 00:33:13,680
Speaker 1: like a piece of cardboard and they would say just

605
00:33:13,800 --> 00:33:16,880
Speaker 1: hold up your finger for one, two, three, or four

606
00:33:17,280 --> 00:33:20,480
Speaker 1: for whatever drink you wanted, And there were only four options,

607
00:33:20,480 --> 00:33:22,160
Speaker 1: and they were like, they don't even want you to talk.

608
00:33:22,280 --> 00:33:23,960
Speaker 1: It was like you just WoT to hold up a finger.

609
00:33:24,480 --> 00:33:27,880
Speaker 1: This is the first time, and this was yesterday for me,

610
00:33:28,400 --> 00:33:32,040
Speaker 1: that they went around and took a normal order. You

611
00:33:32,080 --> 00:33:36,200
Speaker 1: could get whatever you would ordinarily want from the Drake

612
00:33:36,280 --> 00:33:39,200
Speaker 1: menu as opposed to just having to hold up four

613
00:33:39,320 --> 00:33:41,960
Speaker 1: fingers on it. I'd meant to see if I could

614
00:33:42,040 --> 00:33:45,080
Speaker 1: order some alcohol because it seemed like alcohol might even

615
00:33:45,120 --> 00:33:46,960
Speaker 1: be back, because you haven't been able to get beer

616
00:33:47,040 --> 00:33:49,320
Speaker 1: or liquor if you fly on an airplane. You guys

617
00:33:49,360 --> 00:33:51,719
Speaker 1: know out there what I'm talking about. But it's the

618
00:33:51,800 --> 00:33:55,200
Speaker 1: most normal that an airplane flight has felt for me

619
00:33:55,760 --> 00:33:59,120
Speaker 1: in basically two years. I didn't feel like I was

620
00:33:59,160 --> 00:34:02,760
Speaker 1: on an airplane light and I was being constantly harangued

621
00:34:02,800 --> 00:34:05,680
Speaker 1: about where my mask was on my face, or about

622
00:34:05,760 --> 00:34:08,560
Speaker 1: drinking or eating anything during the course of the flight.

623
00:34:08,719 --> 00:34:13,200
Speaker 1: Cautious optimism that sanity might be starting to prevail in

624
00:34:13,239 --> 00:34:16,880
Speaker 1: the friendly skies. Your Eminem packaging might be a little different.

625
00:34:16,920 --> 00:34:24,600
Speaker 1: Play Eminem's from Mars Candy Company has updated the cartoons

626
00:34:24,680 --> 00:34:29,240
Speaker 1: to represent the various mnm's, and two of the Lady

627
00:34:29,239 --> 00:34:32,680
Speaker 1: Eminem's are getting the biggest changes. They're getting rid of

628
00:34:32,719 --> 00:34:37,279
Speaker 1: Green Eminem's go Go boots and replacing them with sneakers,

629
00:34:38,000 --> 00:34:41,320
Speaker 1: and they're also making the heels on. I believe Brown

630
00:34:41,440 --> 00:34:47,080
Speaker 1: Eminem also a Lady Eminem, as I understand it less high,

631
00:34:47,239 --> 00:34:51,799
Speaker 1: so she seems more like business casual. I suppose I'm

632
00:34:51,840 --> 00:34:53,480
Speaker 1: a big fan of high heels, so this is a

633
00:34:53,520 --> 00:34:55,640
Speaker 1: poor move. I was really all in on the Brown

634
00:34:55,640 --> 00:34:58,319
Speaker 1: Eminem and now that they've taken away the heels, it

635
00:34:58,400 --> 00:35:01,000
Speaker 1: doesn't have the same allure to meeting more just because

636
00:35:01,040 --> 00:35:04,880
Speaker 1: it boots too kind of high. I mean, come on,

637
00:35:05,000 --> 00:35:07,480
Speaker 1: go go. Boots are tough to beat. And I don't

638
00:35:07,520 --> 00:35:09,279
Speaker 1: know what this is, you know. I mean, look, it's

639
00:35:09,280 --> 00:35:11,520
Speaker 1: the It's a very minor thing. But sometimes we have

640
00:35:11,560 --> 00:35:12,919
Speaker 1: to look at the minor things to have a little

641
00:35:12,960 --> 00:35:15,719
Speaker 1: fun here with How why update this at all? First

642
00:35:15,719 --> 00:35:17,160
Speaker 1: of all, I mean, I guess it does get us

643
00:35:17,160 --> 00:35:19,240
Speaker 1: talking about it, but the way they've updated it too,

644
00:35:19,520 --> 00:35:22,600
Speaker 1: I mean, I really I only want my Eminem's to

645
00:35:22,760 --> 00:35:26,640
Speaker 1: be triple vaccinated and announcing their pronouns, Clay if they

646
00:35:26,719 --> 00:35:28,799
Speaker 1: If the eminems don't announce their pronouns, and if they're

647
00:35:28,840 --> 00:35:31,640
Speaker 1: not triple vaccinated, I will not eat them. I'm a

648
00:35:31,680 --> 00:35:34,040
Speaker 1: peanut eminem guy. Are you a traditional eminem guy? If

649
00:35:34,040 --> 00:35:35,840
Speaker 1: you had to choose between the two, the brown package

650
00:35:35,920 --> 00:35:37,680
Speaker 1: versus the end, I mean, if I'm really going, if

651
00:35:37,719 --> 00:35:40,319
Speaker 1: I'm going full fat kid with my favorite Minm's, I'm

652
00:35:40,320 --> 00:35:42,560
Speaker 1: gonna do it with a peanut butter minm O the

653
00:35:42,680 --> 00:35:46,120
Speaker 1: red the red package. Yeah, straight peanut butter. By the way,

654
00:35:46,160 --> 00:35:47,839
Speaker 1: we got a funny call to close out with I

655
00:35:47,880 --> 00:35:51,000
Speaker 1: think is DJ and San Diego still they're talking about

656
00:35:51,040 --> 00:35:53,920
Speaker 1: the Biden four tests that are going out. DJ, youve

657
00:35:53,880 --> 00:35:58,040
Speaker 1: got a great analogy here. Yeah, guys, you know it's

658
00:35:58,239 --> 00:36:01,120
Speaker 1: it's as you guys discussed on Wednesday, it's much harder

659
00:36:01,160 --> 00:36:04,040
Speaker 1: to see people now where you you have you get

660
00:36:04,080 --> 00:36:07,600
Speaker 1: your government issued four tests and then you have to

661
00:36:07,640 --> 00:36:10,400
Speaker 1: take two tests before you go see someone. And it

662
00:36:10,480 --> 00:36:15,520
Speaker 1: just reminds me of when Elaine had the discontinuation of

663
00:36:15,520 --> 00:36:19,960
Speaker 1: her favorite birth control, the Sponge, and had to determine

664
00:36:19,960 --> 00:36:23,480
Speaker 1: how she determined to see people on whether they were spongeworthy.

665
00:36:23,719 --> 00:36:27,200
Speaker 1: So now we have a situation where you have to

666
00:36:27,239 --> 00:36:29,440
Speaker 1: determine which of your friends you want to see on

667
00:36:29,520 --> 00:36:33,120
Speaker 1: whether they're test worthy or mask worthy. Now it's a

668
00:36:33,120 --> 00:36:40,160
Speaker 1: fantastic analogy show. Great episode. Same will then looking forward

669
00:36:40,160 --> 00:36:42,760
Speaker 1: to hanging out with our crew. Should be great. WFSX,

670
00:36:42,880 --> 00:36:47,920
Speaker 1: Thank you guys, have great weekends. You're listening to Clay

671
00:36:47,960 --> 00:36:51,480
Speaker 1: Trams and Buck Sexton on the EIB Network