1
00:00:00,200 --> 00:00:05,680
Speaker 1: Up next, The Truth with Lisa both Hey, everyone, welcome

2
00:00:05,760 --> 00:00:08,920
Speaker 1: back to the Truth with Lisa Booth. This week we

3
00:00:08,960 --> 00:00:14,320
Speaker 1: are getting hashtag sassy with Massey because my guest is

4
00:00:14,400 --> 00:00:18,880
Speaker 1: Congressman Thomas Massey. I retweet him almost daily. He is

5
00:00:19,000 --> 00:00:23,400
Speaker 1: leading the fight, leading the charge against these tyrannical vaccine

6
00:00:23,400 --> 00:00:26,880
Speaker 1: mandates in the country. He is a voice of sanity

7
00:00:26,920 --> 00:00:30,080
Speaker 1: among the insane, and he is standing up for your

8
00:00:30,120 --> 00:00:33,440
Speaker 1: individual rights and fighting against the people who are trying

9
00:00:33,560 --> 00:00:36,280
Speaker 1: to violate them. He was first elected to Congress in

10
00:00:36,440 --> 00:00:40,279
Speaker 1: two thousand and twelve. He represents the fourth District of Kentucky.

11
00:00:40,440 --> 00:00:43,880
Speaker 1: Before he got into Congress, he actually went to m

12
00:00:43,920 --> 00:00:47,760
Speaker 1: I t here in a bachelor's degree, master's degree there,

13
00:00:47,840 --> 00:00:50,440
Speaker 1: and he when he was there, he actually invented a

14
00:00:50,479 --> 00:00:55,240
Speaker 1: technology that enabled people to interpret with computers using their

15
00:00:55,280 --> 00:00:59,240
Speaker 1: sense of touch. He leveraged that into a company which

16
00:00:59,280 --> 00:01:02,080
Speaker 1: then raised a ton of money, created jobs, obtained patents,

17
00:01:02,400 --> 00:01:04,440
Speaker 1: all that different stuff. My favorite thing on Twitter is

18
00:01:04,480 --> 00:01:06,400
Speaker 1: when people get a little too sassy with him and

19
00:01:06,440 --> 00:01:08,360
Speaker 1: they say, oh, yeah, well, where did you get your

20
00:01:08,400 --> 00:01:10,240
Speaker 1: math degree? Where did you get your science degree? And

21
00:01:10,240 --> 00:01:14,160
Speaker 1: he responds, m I t uh so. With that background

22
00:01:14,400 --> 00:01:17,039
Speaker 1: He's one of the people bringing sanity to all of

23
00:01:17,080 --> 00:01:20,199
Speaker 1: this conversation, so I am so looking forward to having

24
00:01:20,200 --> 00:01:23,039
Speaker 1: this conversation with him. He also wrote back in August that,

25
00:01:23,160 --> 00:01:26,960
Speaker 1: quote inserting needles and chemicals into people without their consent

26
00:01:27,520 --> 00:01:31,000
Speaker 1: is violence, and quote depriving them of their basic human

27
00:01:31,080 --> 00:01:34,720
Speaker 1: rights because they won't give consent is also violence. Right now,

28
00:01:34,720 --> 00:01:38,080
Speaker 1: we have a lot of hard working Americans, nurses, We've

29
00:01:38,120 --> 00:01:42,240
Speaker 1: got police officers, firefighters, and military members who are going

30
00:01:42,280 --> 00:01:45,720
Speaker 1: to be purged from jobs over a vaccine mandate that

31
00:01:45,840 --> 00:01:48,280
Speaker 1: is rooted in nonsense, that is rooted and alive. So

32
00:01:48,400 --> 00:01:50,840
Speaker 1: we will fight together. We will have this conversation on

33
00:01:50,880 --> 00:01:53,920
Speaker 1: the show. And I am so so looking forward to

34
00:01:54,000 --> 00:01:57,480
Speaker 1: having Congressman Thomas Massey on The Truth with Lisa Booth.

35
00:01:57,480 --> 00:02:08,919
Speaker 1: It's going to be a good one. So I am

36
00:02:08,960 --> 00:02:12,360
Speaker 1: so excited to have this next guest on, Congressman Thomas

37
00:02:12,360 --> 00:02:14,400
Speaker 1: Massey from the great state of Kentucky. I feel like

38
00:02:14,400 --> 00:02:16,760
Speaker 1: I retweet him every day, so I thought to myself,

39
00:02:16,800 --> 00:02:19,240
Speaker 1: he has to come on this show. Congressman, thanks so

40
00:02:19,320 --> 00:02:21,880
Speaker 1: much for joining me, thanks for having me on, and

41
00:02:21,960 --> 00:02:24,919
Speaker 1: thanks for all those retweets. You know I retweet you too.

42
00:02:25,120 --> 00:02:28,200
Speaker 1: I appreciate that certain and I'm always excited when you do,

43
00:02:28,360 --> 00:02:32,280
Speaker 1: because you are very, very smart, and you're seemingly one

44
00:02:32,280 --> 00:02:35,040
Speaker 1: of the sane or one of the only sane people

45
00:02:35,200 --> 00:02:38,040
Speaker 1: in Congress these days. So I appreciate your fight for

46
00:02:38,080 --> 00:02:40,240
Speaker 1: freedom start. You know, I don't know about you, but

47
00:02:40,840 --> 00:02:42,800
Speaker 1: I have a little pep in my step today. Right. So,

48
00:02:42,840 --> 00:02:45,480
Speaker 1: this is the day after the Virginia elections and New

49
00:02:45,560 --> 00:02:48,880
Speaker 1: Jersey elections. I feel like the birds are chirping, the

50
00:02:48,960 --> 00:02:52,160
Speaker 1: sun is shining, that it is a new day in America.

51
00:02:52,680 --> 00:02:55,120
Speaker 1: How are you feeling after last night and what are

52
00:02:55,160 --> 00:02:58,359
Speaker 1: your key takeaways? Well, I was at the Trump Hotel

53
00:02:58,520 --> 00:03:02,560
Speaker 1: last night in a lobby slash bar with Marjorie Taylor

54
00:03:02,639 --> 00:03:05,359
Speaker 1: Green when we got the news. It was pretty exciting

55
00:03:05,400 --> 00:03:08,680
Speaker 1: watching the results come in. I think it's a repudiation

56
00:03:08,840 --> 00:03:12,919
Speaker 1: of Joe Biden. I'm hoping it's somewhat a repudiation of

57
00:03:12,480 --> 00:03:16,720
Speaker 1: the vaccine and the mask Man dates and uh, I

58
00:03:16,840 --> 00:03:19,480
Speaker 1: was just really excited to see it. I was afraid

59
00:03:19,480 --> 00:03:21,240
Speaker 1: I would go to sleep and wake up and we'd

60
00:03:21,240 --> 00:03:23,320
Speaker 1: have a different result the next morning. So I was

61
00:03:23,400 --> 00:03:25,520
Speaker 1: just as excited to wake up and see we had

62
00:03:25,560 --> 00:03:31,600
Speaker 1: still one I said, well, actually, before the election was called,

63
00:03:31,639 --> 00:03:35,120
Speaker 1: I suggested that Virginia might be changing its state motto

64
00:03:35,240 --> 00:03:38,760
Speaker 1: to Let's Go Brandon. I feel like that should be

65
00:03:38,840 --> 00:03:41,680
Speaker 1: it should be a national day. Uh, we should have

66
00:03:41,720 --> 00:03:44,480
Speaker 1: a national day of acknowledgement. Let's go Brandon Day where

67
00:03:44,480 --> 00:03:51,200
Speaker 1: we we all come together, different political ideologies, different races, ethnicities, backgrounds, everything,

68
00:03:51,280 --> 00:03:55,360
Speaker 1: we just all come together. Let's go Brandon Day of celebration.

69
00:03:55,800 --> 00:03:57,520
Speaker 1: So I really want to talk to you about a

70
00:03:57,520 --> 00:03:59,840
Speaker 1: lot of the vaccine made dates you just mentioned, uh,

71
00:04:00,280 --> 00:04:03,480
Speaker 1: and and part of the daily retweets. But before we

72
00:04:03,520 --> 00:04:06,480
Speaker 1: do that, so I am sure it gives you satisfaction,

73
00:04:06,760 --> 00:04:09,080
Speaker 1: brings me satisfaction. You know, we know on Twitter a

74
00:04:09,160 --> 00:04:11,680
Speaker 1: lot of snarky comments. But when someone's like, oh yeah,

75
00:04:11,800 --> 00:04:13,720
Speaker 1: well what do you know about science? Or where did

76
00:04:13,760 --> 00:04:16,320
Speaker 1: you get your degree? And then you respond with the

77
00:04:17,080 --> 00:04:19,720
Speaker 1: with the degree from M I T. It's I mean,

78
00:04:19,760 --> 00:04:21,400
Speaker 1: it's got to bring some it's just got to give

79
00:04:21,440 --> 00:04:24,279
Speaker 1: make you giggle. At least my favorite one. And I

80
00:04:24,320 --> 00:04:26,880
Speaker 1: get to do this about every six months. Somebody steps

81
00:04:26,920 --> 00:04:29,960
Speaker 1: in it. But they say M I T. Should revoke

82
00:04:30,040 --> 00:04:33,600
Speaker 1: your degree, And I asked them which one? Because I

83
00:04:34,160 --> 00:04:37,040
Speaker 1: actually have two degrees from M I T. So it's

84
00:04:37,120 --> 00:04:40,119
Speaker 1: kind of fun. I don't I don't put that anybody's face.

85
00:04:40,240 --> 00:04:44,599
Speaker 1: I am always um, at least only half as rude

86
00:04:44,680 --> 00:04:47,680
Speaker 1: as somebody is to me. Like that's my standard. I'm

87
00:04:47,760 --> 00:04:50,800
Speaker 1: never mean to somebody who's not mean first, and I

88
00:04:50,880 --> 00:04:53,520
Speaker 1: always do it in a nice way or try to

89
00:04:53,560 --> 00:04:57,080
Speaker 1: be sassy about it instead of just rude. So that's

90
00:04:57,120 --> 00:05:01,640
Speaker 1: why my hashtag is sassy with massey on on Twitter. Well,

91
00:05:01,839 --> 00:05:05,000
Speaker 1: I never took it as anything rude or even condescetting.

92
00:05:05,040 --> 00:05:07,200
Speaker 1: I just always took it as it like gives people

93
00:05:07,240 --> 00:05:10,280
Speaker 1: a giggle, right, because I think politicians and all of us,

94
00:05:10,400 --> 00:05:13,200
Speaker 1: just anyone in the country at large needs to have

95
00:05:13,240 --> 00:05:14,839
Speaker 1: a sense of humor, and you know we don't. We

96
00:05:14,880 --> 00:05:16,920
Speaker 1: need to all not take ourselves so seriously. So that's

97
00:05:16,920 --> 00:05:20,120
Speaker 1: how I've always viewed it is just, uh, it's just funny, right,

98
00:05:20,200 --> 00:05:23,479
Speaker 1: So look at at heart, I'm still a hillbilly. I

99
00:05:23,520 --> 00:05:28,400
Speaker 1: grew up in eastern Kentucky and Appalachia, and I remember

100
00:05:28,440 --> 00:05:32,760
Speaker 1: going to Cambridge, Massachusetts, which I mean they were socialists

101
00:05:32,800 --> 00:05:36,920
Speaker 1: when even socialism wasn't cool yet, right, And because that's

102
00:05:36,920 --> 00:05:39,240
Speaker 1: where the M I. T. Campus was I It was

103
00:05:39,320 --> 00:05:42,080
Speaker 1: like maybe the second time in my life i'd been

104
00:05:42,120 --> 00:05:44,240
Speaker 1: on an airplane, maybe the third time. And I was

105
00:05:44,320 --> 00:05:49,159
Speaker 1: eighteen years old, and I'm crossing a crosswalk on Massachusetts

106
00:05:49,240 --> 00:05:52,320
Speaker 1: Avenue and Cambridge, Massachusetts. By the way, we didn't really

107
00:05:52,360 --> 00:05:54,160
Speaker 1: have red lights in the town I grew up in.

108
00:05:54,320 --> 00:05:56,880
Speaker 1: Had four people. We had one red light, but there

109
00:05:56,920 --> 00:06:00,680
Speaker 1: was no crosswalk. So I'm going through my first real

110
00:06:00,800 --> 00:06:04,920
Speaker 1: crosswalk at age eighteen and a car honked at me.

111
00:06:05,240 --> 00:06:07,960
Speaker 1: I'd only been there for like a day, and I

112
00:06:08,080 --> 00:06:11,200
Speaker 1: was so excited that I'd already met somebody I knew.

113
00:06:11,240 --> 00:06:13,400
Speaker 1: I mean, why wouldn't Why would that car be honking

114
00:06:13,440 --> 00:06:16,039
Speaker 1: unless it was somebody that knew me. So I turned

115
00:06:16,040 --> 00:06:18,840
Speaker 1: around and waved at the first car that honked at me,

116
00:06:19,600 --> 00:06:22,080
Speaker 1: And I would say, New England, that's awesome. Well if

117
00:06:22,120 --> 00:06:23,520
Speaker 1: if you're if you go to New York, you would

118
00:06:23,520 --> 00:06:25,680
Speaker 1: feel like everyone knows you, because that's all they do

119
00:06:25,760 --> 00:06:28,800
Speaker 1: is it's talk at you when you crossed the street. Uh,

120
00:06:28,839 --> 00:06:31,440
Speaker 1: you know, you know, sir, We're we're just we're really

121
00:06:31,480 --> 00:06:34,800
Speaker 1: facing this fight against or this fight for freedom, this

122
00:06:34,839 --> 00:06:38,359
Speaker 1: fight against tyranny. With vaccine mandates in the country, I

123
00:06:38,400 --> 00:06:40,840
Speaker 1: want to play some sound from Bill Maher recently, who

124
00:06:40,880 --> 00:06:43,279
Speaker 1: was at least found a voice in some sanity and

125
00:06:43,320 --> 00:06:44,680
Speaker 1: all of this, and then I want to get you

126
00:06:44,720 --> 00:06:46,800
Speaker 1: on the other side of it. I know some people

127
00:06:46,839 --> 00:06:50,000
Speaker 1: seem to not want to give up on the wonderful pandemic,

128
00:06:50,080 --> 00:06:53,120
Speaker 1: but you know what, it's over. There's always going to

129
00:06:53,160 --> 00:06:58,200
Speaker 1: be a variant. You shouldn't have to wear masks. I

130
00:06:58,200 --> 00:07:00,400
Speaker 1: shouldn't be able. I haven't had a meeting with my

131
00:07:00,560 --> 00:07:03,760
Speaker 1: staff since March. So he says that, and then he

132
00:07:03,800 --> 00:07:06,640
Speaker 1: also goes on to talk about how, you know, Democrats

133
00:07:06,680 --> 00:07:10,560
Speaker 1: think the risk from hospitalization for the unvaccinated over when

134
00:07:10,560 --> 00:07:13,880
Speaker 1: it's actually less than one. You know, Congressman, how do

135
00:07:14,000 --> 00:07:16,720
Speaker 1: we get to this place in society of just the

136
00:07:16,800 --> 00:07:20,760
Speaker 1: psychosis that has taken over regarding COVID. Well, you know

137
00:07:20,800 --> 00:07:22,920
Speaker 1: what I saw that clip, I believe, and I think

138
00:07:22,920 --> 00:07:26,360
Speaker 1: he had Senator Toombs there as a guest when they

139
00:07:26,400 --> 00:07:29,720
Speaker 1: were talking about that, and so I was happy that

140
00:07:29,800 --> 00:07:34,400
Speaker 1: he was talking to an elected Democrat, and the elected Democrat,

141
00:07:34,480 --> 00:07:36,120
Speaker 1: I'm not sure if that was a senator who was

142
00:07:36,160 --> 00:07:40,080
Speaker 1: there was kind of uncomfortable, and they should be uncomfortable.

143
00:07:40,280 --> 00:07:42,560
Speaker 1: You know, the Democrats used to promise to give you

144
00:07:42,640 --> 00:07:45,760
Speaker 1: somebody else's money, or that they would protect your job,

145
00:07:46,280 --> 00:07:50,200
Speaker 1: and now they're about printing the money or replacing you

146
00:07:50,280 --> 00:07:53,000
Speaker 1: with somebody else, or keeping you from getting a job

147
00:07:53,040 --> 00:07:56,680
Speaker 1: in the case of the gig economy, and um with

148
00:07:56,720 --> 00:07:59,480
Speaker 1: the vaccine. You know, they used to say your body

149
00:07:59,520 --> 00:08:02,120
Speaker 1: your choy said. Now they're saying your body our job.

150
00:08:02,400 --> 00:08:05,840
Speaker 1: We're gonna we're gonna force you to take this. And

151
00:08:05,920 --> 00:08:09,080
Speaker 1: I really hope that part of what we saw in

152
00:08:09,200 --> 00:08:14,440
Speaker 1: Virginia was sort of a repudiation of the metalitarian proposal.

153
00:08:14,960 --> 00:08:18,200
Speaker 1: You know, uh, you've seen the memes where I'm done

154
00:08:18,200 --> 00:08:21,480
Speaker 1: with my free trial and socialism. Yes, I'd like to

155
00:08:21,520 --> 00:08:24,960
Speaker 1: give it up. Yeah, well, I think we're a lot

156
00:08:25,080 --> 00:08:27,880
Speaker 1: of us and and it sounds like Bill Maher especially,

157
00:08:28,040 --> 00:08:31,400
Speaker 1: are done with our free trial of the government being

158
00:08:31,600 --> 00:08:35,600
Speaker 1: our parents or telling us what to do every day.

159
00:08:35,800 --> 00:08:38,440
Speaker 1: And you were right. That was Senator Chris Coons. And

160
00:08:38,480 --> 00:08:40,840
Speaker 1: what was interesting is he actually got him to admit

161
00:08:41,120 --> 00:08:44,600
Speaker 1: that natural immunity exists, even though it's being denied by

162
00:08:44,600 --> 00:08:47,920
Speaker 1: our public health officials. But yes, you did. Why why

163
00:08:48,080 --> 00:08:51,800
Speaker 1: is natural immunity being ignored? And it seems kind of important, right,

164
00:08:52,600 --> 00:08:55,600
Speaker 1: there's well, I'll tell you why there's no natural immunity

165
00:08:55,679 --> 00:09:00,000
Speaker 1: lobbyists in Washington, d C. I've had hundreds of them here,

166
00:09:00,040 --> 00:09:03,000
Speaker 1: hundreds of lobbyists. I mean, they have lobbyists for the

167
00:09:03,040 --> 00:09:06,880
Speaker 1: concrete industry, you know, in the asphalt industry, and there's

168
00:09:06,880 --> 00:09:09,440
Speaker 1: a lobbyist for everything, but there's not a lobbyist for

169
00:09:09,520 --> 00:09:14,840
Speaker 1: natural immunity. Nobody makes money on natural immunity. And uh,

170
00:09:14,880 --> 00:09:17,760
Speaker 1: I don't know. I think kind of in the beginning

171
00:09:17,880 --> 00:09:21,240
Speaker 1: they didn't want to acknowledge natural immunity because they thought, well,

172
00:09:21,679 --> 00:09:25,760
Speaker 1: people won't know that they've had COVID. They'll think they

173
00:09:25,800 --> 00:09:28,480
Speaker 1: had COVID, and they'll be reluctant to get the vaccine

174
00:09:28,600 --> 00:09:31,120
Speaker 1: because they'll think they have natural immunity but they don't

175
00:09:31,120 --> 00:09:34,520
Speaker 1: have it. Well, there's a and so I understand that.

176
00:09:34,559 --> 00:09:39,800
Speaker 1: But antibody tests are readily available, and you know, detailed tests,

177
00:09:39,840 --> 00:09:42,520
Speaker 1: because even if you don't have the antibodies, you might

178
00:09:42,600 --> 00:09:45,040
Speaker 1: have natural immunity, you might have had COVID and you

179
00:09:45,080 --> 00:09:48,360
Speaker 1: still have memory cells, so there are ways to test

180
00:09:48,400 --> 00:09:53,200
Speaker 1: for that. I have pro vaccine friends who are pharmacists

181
00:09:53,240 --> 00:09:57,920
Speaker 1: that like their career, and one of them told me,

182
00:09:58,360 --> 00:10:00,320
Speaker 1: you know, people are asking me should I get the

183
00:10:00,360 --> 00:10:04,680
Speaker 1: booster shot, And she said, I tell them, you should

184
00:10:04,679 --> 00:10:06,880
Speaker 1: get a test to see if you have the antibodies

185
00:10:06,920 --> 00:10:09,680
Speaker 1: basically have they worn off yet from your other two shots?

186
00:10:10,280 --> 00:10:14,760
Speaker 1: And that's that's somebody who's pro vactine. His acknowledging not

187
00:10:14,880 --> 00:10:18,400
Speaker 1: just natural immunity, but why are we proposing a third

188
00:10:18,480 --> 00:10:21,439
Speaker 1: job for people whose medical condition we don't even know

189
00:10:21,920 --> 00:10:24,920
Speaker 1: and and state of immunity we don't even know well,

190
00:10:24,960 --> 00:10:27,480
Speaker 1: And what do we know about natural immunity in terms

191
00:10:27,520 --> 00:10:33,079
Speaker 1: of its strength against COVID? Well, people will always, uh,

192
00:10:33,480 --> 00:10:36,760
Speaker 1: they always criticize you if you use yourself as an anecdote.

193
00:10:36,760 --> 00:10:38,920
Speaker 1: But you know they said, that's say anecdotal. Well, if

194
00:10:38,920 --> 00:10:42,440
Speaker 1: you're the anecdote, it's pretty real. Right. So in my

195
00:10:42,559 --> 00:10:47,720
Speaker 1: own case, I had the antibodies about sixteen months ago,

196
00:10:48,600 --> 00:10:54,080
Speaker 1: Like I think I had COVID in January, and but

197
00:10:54,200 --> 00:10:58,000
Speaker 1: I know by the summer of I had had it

198
00:10:58,000 --> 00:11:01,680
Speaker 1: because I had an antibody test and um I have

199
00:11:02,600 --> 00:11:05,679
Speaker 1: subsequently later took an antibyte test that showed that they

200
00:11:05,679 --> 00:11:10,040
Speaker 1: had disappeared. But guess what, one of my children got

201
00:11:10,240 --> 00:11:13,920
Speaker 1: COVID and quarantined in our house after my antibytes had

202
00:11:13,920 --> 00:11:17,400
Speaker 1: supposedly disappeared. I didn't catch it then. And then another

203
00:11:17,400 --> 00:11:20,800
Speaker 1: one of my children recently got COVID quarantined in my

204
00:11:20,920 --> 00:11:24,200
Speaker 1: house with me right, I didn't go out of my

205
00:11:24,240 --> 00:11:27,400
Speaker 1: way to avoid them, didn't catch COVID. Pretty sure that

206
00:11:27,480 --> 00:11:31,680
Speaker 1: this child probably had the delta variant. Then I have

207
00:11:31,800 --> 00:11:34,520
Speaker 1: some close family members that don't want to reveal uh

208
00:11:35,160 --> 00:11:38,760
Speaker 1: somebody's medical the treatment or whatever, who got the double

209
00:11:38,840 --> 00:11:43,079
Speaker 1: jab of maderna backed in February and then had COVID

210
00:11:43,160 --> 00:11:46,280
Speaker 1: by August, and both of them did, and my wife

211
00:11:46,280 --> 00:11:49,079
Speaker 1: and I were helping take care of them when they

212
00:11:49,080 --> 00:11:52,760
Speaker 1: had COVID. Our own experience in our family is that

213
00:11:53,040 --> 00:11:57,080
Speaker 1: the natural immunity has uh not failed any of us,

214
00:11:57,280 --> 00:12:01,920
Speaker 1: and the vaccine has failed those within our family who

215
00:12:01,920 --> 00:12:04,800
Speaker 1: have taken it. Now they'll say, well, it reduces the

216
00:12:04,800 --> 00:12:08,360
Speaker 1: severity of your uh COVID case, And that may be

217
00:12:08,520 --> 00:12:12,280
Speaker 1: the case, but they no longer say that it prevents

218
00:12:12,320 --> 00:12:15,240
Speaker 1: you from catching it again or prevents you from spreading it.

219
00:12:15,520 --> 00:12:18,080
Speaker 1: But we all but we all know that that is

220
00:12:18,120 --> 00:12:21,360
Speaker 1: the case with natural immunity, you know. Uh. The bidens

221
00:12:21,360 --> 00:12:24,680
Speaker 1: folks like to say this is a an epidemic of

222
00:12:24,720 --> 00:12:28,680
Speaker 1: the unvaccinated now, and I say it's an epidemic of

223
00:12:28,679 --> 00:12:31,440
Speaker 1: those who don't have natural immunity, if you want to

224
00:12:31,480 --> 00:12:34,400
Speaker 1: look at it truthfully. Well, and of course we're you know,

225
00:12:34,440 --> 00:12:36,720
Speaker 1: you look at studies across the world and Israel talking

226
00:12:36,760 --> 00:12:40,240
Speaker 1: about the strength of natural music immunity, how long lasting

227
00:12:40,480 --> 00:12:43,199
Speaker 1: it is as well. Um, you know, and as you mentioned, look,

228
00:12:43,200 --> 00:12:45,920
Speaker 1: we're seeing so many people who are fully vaccinated get COVID.

229
00:12:46,120 --> 00:12:49,080
Speaker 1: I mean, just ask Jen Saki, right, you could circle

230
00:12:49,120 --> 00:12:51,640
Speaker 1: back with her, she just got it. Uh. You know,

231
00:12:51,640 --> 00:12:54,160
Speaker 1: we're also saying there's that recent study in the Lancet

232
00:12:54,240 --> 00:12:58,600
Speaker 1: basically just finding that the spread among household is pretty

233
00:12:58,679 --> 00:13:02,400
Speaker 1: much the same for vaccinated unvaccinated. So what's the basis

234
00:13:02,520 --> 00:13:05,240
Speaker 1: for mandates then? Because the premise originally was that it

235
00:13:05,240 --> 00:13:07,920
Speaker 1: would stop transmission, but we're saying that that's not the

236
00:13:08,200 --> 00:13:11,360
Speaker 1: case anecdotally and then also in recent studies as well,

237
00:13:11,400 --> 00:13:14,000
Speaker 1: So what's the basis By the way, they are over

238
00:13:14,040 --> 00:13:17,719
Speaker 1: a dozen studies. There's Cleveland Clinic study. Uh, there's the

239
00:13:17,800 --> 00:13:21,320
Speaker 1: Fiser study itself that showed the vaccine provided no additional

240
00:13:21,360 --> 00:13:24,959
Speaker 1: benefit to people who already had natural immunity. So what

241
00:13:24,960 --> 00:13:29,719
Speaker 1: what is the rationale for it? Well, ethically and morally,

242
00:13:29,800 --> 00:13:32,880
Speaker 1: whether the vaccine is effective or not, I don't think

243
00:13:32,920 --> 00:13:35,760
Speaker 1: you can justify it. But let's just say logically, let's

244
00:13:35,760 --> 00:13:39,440
Speaker 1: say you're Vladimir Putin and you you don't give a

245
00:13:39,480 --> 00:13:43,840
Speaker 1: flip about somebody's religion or somebody's well being. You just cant.

246
00:13:44,400 --> 00:13:47,839
Speaker 1: All you care about is GDP, and so you're gonna

247
00:13:48,280 --> 00:13:52,120
Speaker 1: mandate something that will be a better for society. Well,

248
00:13:52,280 --> 00:13:55,559
Speaker 1: this vaccine doesn't pass that test. It's not clear that

249
00:13:55,600 --> 00:13:59,840
Speaker 1: if everybody took it that society would be better off you.

250
00:14:00,640 --> 00:14:04,679
Speaker 1: For instance, let's talk about vaccine escape or sort of pressure,

251
00:14:04,720 --> 00:14:09,520
Speaker 1: evolutionary pressure on the various strains of the vaccine. Well,

252
00:14:09,679 --> 00:14:13,920
Speaker 1: the evolutionary pressure, selective pressure for strains that are resistant

253
00:14:13,960 --> 00:14:17,840
Speaker 1: to the vaccine is only present and those who are vaccinated. Like,

254
00:14:18,320 --> 00:14:21,720
Speaker 1: in addition to being an engineer and serving in Congress,

255
00:14:21,760 --> 00:14:24,440
Speaker 1: I have a farm, and so I have fruit trees there,

256
00:14:24,520 --> 00:14:28,680
Speaker 1: I have livestock. And every every buddy that gets any

257
00:14:28,720 --> 00:14:33,120
Speaker 1: training on spraying pesticides or fungicides or treating their animals

258
00:14:33,480 --> 00:14:37,120
Speaker 1: with antibiotics or any other kind of medicine, it's called like,

259
00:14:37,480 --> 00:14:40,600
Speaker 1: don't overuse this, only use it on the ones that

260
00:14:40,640 --> 00:14:45,080
Speaker 1: are sick. Uh. Switch the treatment the modes of action,

261
00:14:45,240 --> 00:14:47,960
Speaker 1: otherwise you'll get escape and all you'll be doing on

262
00:14:48,000 --> 00:14:53,360
Speaker 1: your farm is breeding fungus and disease and viruses that

263
00:14:53,400 --> 00:14:56,600
Speaker 1: are resistant to the treatments that are available to So

264
00:14:56,960 --> 00:14:59,360
Speaker 1: the way they're applying these by just in the middle,

265
00:14:59,440 --> 00:15:01,800
Speaker 1: you know, vaccine eating with the leaky vaccine in the

266
00:15:01,840 --> 00:15:04,760
Speaker 1: middle of the pandemic is exactly the wrong way to

267
00:15:04,760 --> 00:15:09,400
Speaker 1: go about It. Should have treated the most vulnerable, protected

268
00:15:09,400 --> 00:15:13,960
Speaker 1: the most vulnerable, and frankly, you know, the kids should

269
00:15:13,960 --> 00:15:15,920
Speaker 1: have always gone to school. They never should have been

270
00:15:15,920 --> 00:15:20,320
Speaker 1: stopped from going to school. It's less a deadly or

271
00:15:20,880 --> 00:15:23,560
Speaker 1: uh you know, has less of an effect health effect

272
00:15:23,560 --> 00:15:26,200
Speaker 1: on them than the flu and many other things that

273
00:15:26,320 --> 00:15:28,880
Speaker 1: afflick children. So, so are you saying, just so that

274
00:15:29,080 --> 00:15:31,800
Speaker 1: I am clear, are you saying that the vaccine in

275
00:15:31,840 --> 00:15:35,640
Speaker 1: the middle of the pandemic may be causing additional strains? Oh? Yeah,

276
00:15:35,960 --> 00:15:40,080
Speaker 1: it's a it's it doesn't like, let's say, breed them,

277
00:15:40,120 --> 00:15:44,240
Speaker 1: but it applies the selective pressure. Said that, if you

278
00:15:44,280 --> 00:15:47,800
Speaker 1: were to go out among the population and say, for instance,

279
00:15:47,840 --> 00:15:50,480
Speaker 1: how many and I think there's a study. Although I

280
00:15:50,520 --> 00:15:52,480
Speaker 1: can't side it, I can be honest, but I think

281
00:15:52,520 --> 00:15:55,920
Speaker 1: there is a study out there where they tested the

282
00:15:56,000 --> 00:15:59,920
Speaker 1: strain that the vaccinated have and it's almost all delta there.

283
00:16:00,040 --> 00:16:03,840
Speaker 1: And then they tested people who weren't vaccinated and they

284
00:16:03,880 --> 00:16:06,040
Speaker 1: have some of them have DEALTA, some of them have

285
00:16:06,080 --> 00:16:10,280
Speaker 1: the original strain. In fact, there's uh, if you plant

286
00:16:10,760 --> 00:16:15,800
Speaker 1: corn that's got to been genetically engineered to be resistant

287
00:16:16,400 --> 00:16:19,520
Speaker 1: to a certain pest, you have to plant a certain

288
00:16:19,560 --> 00:16:23,280
Speaker 1: amount of the corn that is not resistant so that

289
00:16:23,360 --> 00:16:29,000
Speaker 1: there will be uh sort of a reservoir for the

290
00:16:29,040 --> 00:16:32,960
Speaker 1: pest to keep breeding without breeding in that resistance uh

291
00:16:33,120 --> 00:16:35,760
Speaker 1: to whatever you know the corn has that keeps them

292
00:16:35,800 --> 00:16:40,200
Speaker 1: from keeps it from being eaten or affected. I mean,

293
00:16:40,200 --> 00:16:42,920
Speaker 1: this is just basic science. It's like we've forgotten, at

294
00:16:43,000 --> 00:16:47,720
Speaker 1: least we've forgotten everything we've known since four BC. Let's

295
00:16:47,720 --> 00:16:51,560
Speaker 1: just talk about, for instance, General George Washington. The liveribals

296
00:16:51,680 --> 00:16:55,880
Speaker 1: love to say, well, George Washington had a vaccine mandate

297
00:16:55,920 --> 00:17:00,680
Speaker 1: for his soldiers. You know, they inoculated them with smallpox

298
00:17:00,920 --> 00:17:04,320
Speaker 1: through the skin. Well, there's two problems with using that

299
00:17:04,400 --> 00:17:07,560
Speaker 1: as a president. What number one smallpox was deadly as

300
00:17:07,600 --> 00:17:10,679
Speaker 1: all get out. I mean, it wasn't like one in

301
00:17:11,320 --> 00:17:14,400
Speaker 1: you know, a thousand or one and ten thousand people

302
00:17:14,400 --> 00:17:17,159
Speaker 1: who got it died. It was in the was like

303
00:17:17,240 --> 00:17:22,879
Speaker 1: ten and um, so it was more serious. But here's

304
00:17:22,920 --> 00:17:26,600
Speaker 1: the thing. George Washington when he mandated this for all

305
00:17:26,640 --> 00:17:30,520
Speaker 1: of his troops, he said, treat the ones who haven't

306
00:17:30,560 --> 00:17:36,560
Speaker 1: already had smallpox. He didn't. He wasn't. He wasn't ignorant enough.

307
00:17:37,320 --> 00:17:39,560
Speaker 1: It was smart enough, he put it that way, to

308
00:17:39,720 --> 00:17:41,880
Speaker 1: know that if you had already had smallpox, you didn't

309
00:17:41,920 --> 00:17:45,240
Speaker 1: need to get the inoculation. I called. I called up

310
00:17:45,720 --> 00:17:49,200
Speaker 1: Mount Vernon, which is the repository for all of his records,

311
00:17:49,640 --> 00:17:54,320
Speaker 1: you know, that's his home instead, and spoke with somebody

312
00:17:54,359 --> 00:17:58,240
Speaker 1: at Mount Vernon and said, did George Washington himself get

313
00:17:58,359 --> 00:18:01,960
Speaker 1: the smallpox inoculation? And she laughed and she said why

314
00:18:01,960 --> 00:18:04,400
Speaker 1: would he? He had smallpox when he was a teenager.

315
00:18:05,119 --> 00:18:09,000
Speaker 1: He was smarter than that. Like so, like this is

316
00:18:09,040 --> 00:18:11,920
Speaker 1: the thing we've gone back, like two hundred and fifty years.

317
00:18:12,000 --> 00:18:15,160
Speaker 1: I'm not I'm not saying that the vaccine mandate would

318
00:18:15,200 --> 00:18:18,720
Speaker 1: be okay if you exempted people who had prior immunity.

319
00:18:18,800 --> 00:18:22,639
Speaker 1: I'm just saying it's completely unscientific not to exempt people

320
00:18:22,680 --> 00:18:25,320
Speaker 1: with prior immunity, and we've known about this for century.

321
00:18:25,640 --> 00:18:30,880
Speaker 1: Quick commercial break more on vaccines with Congressman Thomas Massey.

322
00:18:37,040 --> 00:18:40,520
Speaker 1: What I don't understand is, like, for instance, with Jen Psaki,

323
00:18:40,680 --> 00:18:42,760
Speaker 1: like everyone's like, oh, well, now she's not going to

324
00:18:42,880 --> 00:18:45,480
Speaker 1: die because she got the COVID. Well, she's also forty two,

325
00:18:45,520 --> 00:18:48,520
Speaker 1: so she's actually really not at a higher risk from COVID.

326
00:18:48,520 --> 00:18:50,960
Speaker 1: And I think we've kind of like we've forgotten as

327
00:18:50,960 --> 00:18:53,399
Speaker 1: a society to be able to look at risk and

328
00:18:53,440 --> 00:18:56,440
Speaker 1: to weigh risk. And so for instance, like I'm thirty six,

329
00:18:56,480 --> 00:18:58,920
Speaker 1: I'm not getting it because I'm a ninety nine point

330
00:18:59,040 --> 00:19:02,159
Speaker 1: nine chance of survival against COVID, and I have questions

331
00:19:02,160 --> 00:19:04,080
Speaker 1: about the vaccine. Right, this is the first time we're

332
00:19:04,080 --> 00:19:06,560
Speaker 1: doing m R and A with a vaccine. I don't

333
00:19:06,560 --> 00:19:08,840
Speaker 1: think that people are being honest about risk of injury

334
00:19:08,920 --> 00:19:11,480
Speaker 1: or potential risk from death. And to me, the risk

335
00:19:11,600 --> 00:19:14,520
Speaker 1: from getting COVID does not outweigh the potential risks and

336
00:19:14,520 --> 00:19:17,800
Speaker 1: the unknowns of the COVID vaccine. So I'm not getting it.

337
00:19:17,840 --> 00:19:19,920
Speaker 1: But I also just don't understand how we as a

338
00:19:20,000 --> 00:19:23,200
Speaker 1: society have this every single person needs to get vaccinated,

339
00:19:23,600 --> 00:19:26,480
Speaker 1: regardless of risk, right, Like I think it should be

340
00:19:26,520 --> 00:19:29,640
Speaker 1: specific to risk, an individual choice and letting people take

341
00:19:29,680 --> 00:19:32,360
Speaker 1: an examination of their own health and deciding with their

342
00:19:32,400 --> 00:19:34,520
Speaker 1: doctor or with people they you know that are smart

343
00:19:34,560 --> 00:19:37,520
Speaker 1: and they trust in the medical field. Uh in deciding

344
00:19:37,560 --> 00:19:41,080
Speaker 1: what's best for them. You're completely right. And I think

345
00:19:41,320 --> 00:19:45,560
Speaker 1: that this crazy insistence that every single person get the

346
00:19:45,640 --> 00:19:49,439
Speaker 1: vaccine is making the people who might benefit from the

347
00:19:49,520 --> 00:19:53,280
Speaker 1: vaccine who haven't taken it question whether they should take

348
00:19:53,320 --> 00:19:56,200
Speaker 1: it because they see that the people who are advising

349
00:19:56,240 --> 00:20:01,360
Speaker 1: them are irrational. And uh So, I think that the CDC,

350
00:20:01,600 --> 00:20:05,320
Speaker 1: for instance, is doing more to promote vaccine hesitancy than

351
00:20:05,320 --> 00:20:09,200
Speaker 1: anybody else. By the way, I'm trying to promote vaccine

352
00:20:09,200 --> 00:20:12,840
Speaker 1: mandate hesitancy, not vaccine hesitancy. As I told you, I've

353
00:20:12,880 --> 00:20:16,440
Speaker 1: got I have some family members who's taken the vaccine.

354
00:20:16,480 --> 00:20:20,040
Speaker 1: We they uh decided they were in a high risk

355
00:20:20,040 --> 00:20:24,000
Speaker 1: category and that they might benefit from it, But I'm

356
00:20:24,080 --> 00:20:27,920
Speaker 1: never going to take it. Like in the beginning, I thought, well,

357
00:20:27,960 --> 00:20:30,920
Speaker 1: I've already had COVID, and if there's evidence that comes

358
00:20:30,920 --> 00:20:33,800
Speaker 1: out that shows that there's some benefit of this vaccine,

359
00:20:33,840 --> 00:20:37,000
Speaker 1: to me in addition to my natural immunity, I might

360
00:20:37,080 --> 00:20:39,879
Speaker 1: take it. But at this point I have seen enough,

361
00:20:40,480 --> 00:20:43,800
Speaker 1: I've listened to enough wise from the CDC. I have

362
00:20:43,960 --> 00:20:48,760
Speaker 1: recorded back when they found out that I would be

363
00:20:48,840 --> 00:20:51,720
Speaker 1: so transparent, before they found out I would be so

364
00:20:51,800 --> 00:20:54,680
Speaker 1: transparent with the American people, they would take my phone

365
00:20:54,680 --> 00:20:58,000
Speaker 1: calls and I recorded the CDC admitting that their website

366
00:20:58,080 --> 00:21:02,000
Speaker 1: had missed we you domistically called the mistakes at the time,

367
00:21:02,040 --> 00:21:04,760
Speaker 1: I will call them lines. Now they had lines on

368
00:21:04,800 --> 00:21:06,679
Speaker 1: their website and they told me and I recorded the

369
00:21:06,680 --> 00:21:09,920
Speaker 1: phone calls. They knew they were incorrect, and they kept

370
00:21:09,920 --> 00:21:11,879
Speaker 1: it up there anyway. Well, I tried to get the

371
00:21:11,920 --> 00:21:15,840
Speaker 1: CDC on record about taking examination of the children who

372
00:21:15,880 --> 00:21:17,960
Speaker 1: have died of COVID, which is obviously a very small

373
00:21:18,040 --> 00:21:19,919
Speaker 1: number in the country, and taking it a look at

374
00:21:19,960 --> 00:21:23,480
Speaker 1: who died from COVID or who died with COVID, because

375
00:21:23,520 --> 00:21:26,160
Speaker 1: that's a differentiation that is important, and when you look

376
00:21:26,160 --> 00:21:28,040
Speaker 1: at a small group, but you know, a small subset,

377
00:21:28,040 --> 00:21:30,639
Speaker 1: you could look into that deeper. Especially with the amount

378
00:21:30,640 --> 00:21:33,479
Speaker 1: of staff that CDC has no response on any of it.

379
00:21:33,600 --> 00:21:37,000
Speaker 1: Of course, completely ignored me. I called circled back as

380
00:21:37,080 --> 00:21:39,560
Speaker 1: Jen Saki would say, and nothing from the CDC. It's

381
00:21:39,560 --> 00:21:41,479
Speaker 1: like it's like they just don't want to be honest

382
00:21:41,560 --> 00:21:43,760
Speaker 1: with us, which to your point, like, I think there

383
00:21:43,760 --> 00:21:45,399
Speaker 1: are a lot of high risk people that might think

384
00:21:45,440 --> 00:21:47,600
Speaker 1: about getting vaccinated if they felt like they were getting

385
00:21:47,600 --> 00:21:49,000
Speaker 1: the truth. And I think we would have been better

386
00:21:49,040 --> 00:21:51,760
Speaker 1: off as a society by just letting people know whose

387
00:21:51,840 --> 00:21:54,640
Speaker 1: high risk and potentially what the vaccine could do for them,

388
00:21:54,680 --> 00:21:57,080
Speaker 1: who's low risk, and allow people to make the decision

389
00:21:57,119 --> 00:21:59,280
Speaker 1: that makes the most sense for them. And I think

390
00:21:59,280 --> 00:22:02,680
Speaker 1: you would have people trust to the system more. Well,

391
00:22:02,760 --> 00:22:06,680
Speaker 1: let me give you an example. Um, when I hate

392
00:22:06,720 --> 00:22:11,760
Speaker 1: to relate so many family uh situations, but I don't

393
00:22:11,800 --> 00:22:14,240
Speaker 1: think my brother would care my brother, So I'll tell

394
00:22:14,280 --> 00:22:18,520
Speaker 1: you the story. He's now yeah, I know, right, Okay,

395
00:22:18,560 --> 00:22:22,679
Speaker 1: So he got COVID. He got COVID and uh, like

396
00:22:22,800 --> 00:22:25,320
Speaker 1: they tell everybody, they're like, well, we can't do anything

397
00:22:25,400 --> 00:22:28,480
Speaker 1: for you, just stay home unless you get really sick,

398
00:22:29,560 --> 00:22:32,480
Speaker 1: and so you know, figure, Okay, they can't really do

399
00:22:32,480 --> 00:22:35,479
Speaker 1: anything for me. So I don't know. He went like

400
00:22:35,560 --> 00:22:38,879
Speaker 1: ten days, thirteen days, and he wasn't getting better, he

401
00:22:39,000 --> 00:22:42,800
Speaker 1: was getting sicker, and eventually went to the emergency room

402
00:22:42,880 --> 00:22:47,439
Speaker 1: and guess what he had developed bacterial pneumonia in like

403
00:22:47,520 --> 00:22:50,320
Speaker 1: if he hadn't gone to the hospital, he probably would

404
00:22:50,320 --> 00:22:53,359
Speaker 1: have died from bacterial pneumonia. He gave him an I

405
00:22:53,520 --> 00:22:58,040
Speaker 1: V of an antibiotic and he was good with them,

406
00:22:58,080 --> 00:23:01,359
Speaker 1: you know, a day or two. But how many people

407
00:23:02,240 --> 00:23:06,000
Speaker 1: is that happen to? And then they didn't get the

408
00:23:06,040 --> 00:23:08,360
Speaker 1: help or they went too far before they got the help.

409
00:23:08,400 --> 00:23:11,360
Speaker 1: They had some complication that was bacterial that and we've

410
00:23:11,400 --> 00:23:13,479
Speaker 1: known how to solve that with the antibotonic for a

411
00:23:13,480 --> 00:23:15,959
Speaker 1: long time, and they didn't get that treatment, or they

412
00:23:15,960 --> 00:23:18,560
Speaker 1: get that treatment too late. And maybe in my brother's

413
00:23:18,600 --> 00:23:21,399
Speaker 1: case it turned out okay, but in their case they died.

414
00:23:21,560 --> 00:23:24,919
Speaker 1: They probably would have been listed has died from COVID

415
00:23:25,240 --> 00:23:27,960
Speaker 1: even if it had been a bacterial infection that developed

416
00:23:28,200 --> 00:23:30,760
Speaker 1: later from COVID that could have been treated well. And

417
00:23:30,760 --> 00:23:33,480
Speaker 1: there's a big study I forget. It was of looking

418
00:23:33,480 --> 00:23:36,920
Speaker 1: at VA hospitals and they found that of the cases

419
00:23:36,960 --> 00:23:38,919
Speaker 1: that were studied, and it was a bunch of different

420
00:23:39,000 --> 00:23:42,119
Speaker 1: universities that were involved in it, or professors or whatever

421
00:23:42,440 --> 00:23:46,240
Speaker 1: from different universities looking at and they found that we're

422
00:23:46,280 --> 00:23:50,679
Speaker 1: basically in the hospital with COVID, not from COVID, So

423
00:23:50,760 --> 00:23:54,159
Speaker 1: it really just raises questions about looking at hospitalizations in

424
00:23:54,160 --> 00:23:56,240
Speaker 1: the country and also maybe even deaths in the country

425
00:23:56,359 --> 00:23:59,439
Speaker 1: if we're calculating things correctly. But I also feel like

426
00:23:59,480 --> 00:24:02,160
Speaker 1: this vac seen only approach, it's very myopic and it's

427
00:24:02,160 --> 00:24:04,399
Speaker 1: actually potentially putting lives at risk. I mean, you know,

428
00:24:04,440 --> 00:24:07,960
Speaker 1: for instance, we all saw the former CDC director Robert

429
00:24:08,000 --> 00:24:11,520
Speaker 1: Redfield on Fox recently said that over the people who

430
00:24:11,520 --> 00:24:15,080
Speaker 1: have died from COVID recently in Maryland were fully vaccinated.

431
00:24:15,320 --> 00:24:17,600
Speaker 1: Here in the state of Florida, where Governor to Santa's

432
00:24:17,680 --> 00:24:21,679
Speaker 1: is set up UH monoclonal antibody sites throughout the state. UH,

433
00:24:21,760 --> 00:24:24,400
Speaker 1: the majority of people showing up are fully vaccinated. So

434
00:24:24,680 --> 00:24:27,159
Speaker 1: if they don't have that option in these other states

435
00:24:27,200 --> 00:24:29,960
Speaker 1: because things like monocle and antibodies have been discussed or

436
00:24:30,000 --> 00:24:33,240
Speaker 1: other therapeutics haven't been explored because it's the vaccine only,

437
00:24:33,800 --> 00:24:37,520
Speaker 1: are we putting lives at risk. We're absolutely putting lives

438
00:24:37,560 --> 00:24:40,000
Speaker 1: at risk, and we're about to destroy our economy if

439
00:24:40,119 --> 00:24:45,719
Speaker 1: Biden follows through with these vaccine mandates. Uh. I just

440
00:24:45,880 --> 00:24:50,160
Speaker 1: came from a round table in my Transportation and Infrastructure Committee.

441
00:24:50,480 --> 00:24:54,119
Speaker 1: Literally the meeting just ended a couple hours ago, and

442
00:24:54,160 --> 00:24:58,600
Speaker 1: we had experts from the industry UH that deals with

443
00:24:58,640 --> 00:25:01,560
Speaker 1: the supply chain, try king experts, the people who own

444
00:25:02,280 --> 00:25:06,360
Speaker 1: unload the shipping containers and UM. One of the things

445
00:25:06,440 --> 00:25:09,880
Speaker 1: they keyed in on is the contractor mandate kicks in

446
00:25:09,920 --> 00:25:13,439
Speaker 1: on December, a write that date down for December, a

447
00:25:13,920 --> 00:25:18,600
Speaker 1: contractor mandate if you're a federal contractor. And then there's

448
00:25:18,640 --> 00:25:21,560
Speaker 1: this ocean mandate that's going to come out. What I

449
00:25:21,640 --> 00:25:24,920
Speaker 1: learned is that thirty seven percent of truckers say they

450
00:25:24,960 --> 00:25:29,600
Speaker 1: will retire, quit or find another job if they if

451
00:25:29,640 --> 00:25:33,080
Speaker 1: they are required to get the vaccine as a result

452
00:25:33,119 --> 00:25:37,520
Speaker 1: of the federal contractor mandate or the ocean mandate. If only,

453
00:25:38,200 --> 00:25:41,120
Speaker 1: let's say, if only ten percent of those follow through,

454
00:25:41,160 --> 00:25:43,200
Speaker 1: because it is a big deal to lose your job,

455
00:25:43,520 --> 00:25:46,640
Speaker 1: right and so maybe they're when push comes to shove,

456
00:25:46,720 --> 00:25:49,000
Speaker 1: they can't follow through. But it's just three percent of them,

457
00:25:49,040 --> 00:25:51,760
Speaker 1: do I mean ten percent of them, which would be

458
00:25:51,760 --> 00:25:56,160
Speaker 1: three percent of truckers. This would be a supply chain

459
00:25:56,240 --> 00:26:03,000
Speaker 1: disaster of epic proportions, and we will suffer from inflation shortages.

460
00:26:03,480 --> 00:26:05,720
Speaker 1: We'll get back to where we were eighteen months ago,

461
00:26:05,960 --> 00:26:09,760
Speaker 1: where they were euthanizing animals because they couldn't get them,

462
00:26:10,200 --> 00:26:15,320
Speaker 1: uh process them, you know, livestock for food. Uh. It

463
00:26:15,400 --> 00:26:19,439
Speaker 1: will be a dystopian future if Biden follows through, and

464
00:26:19,520 --> 00:26:23,040
Speaker 1: people will suffer all across the country if he follows

465
00:26:23,040 --> 00:26:26,000
Speaker 1: through with these mandates. Just on truckers, that's not even

466
00:26:26,040 --> 00:26:29,080
Speaker 1: talking about all the other people that are being mandated

467
00:26:29,080 --> 00:26:31,639
Speaker 1: are about to be mandated. And that's on top of

468
00:26:31,680 --> 00:26:35,200
Speaker 1: the massive global supply chain issue that we're already facing

469
00:26:35,240 --> 00:26:37,240
Speaker 1: as a country. So it's like it already seems like

470
00:26:37,240 --> 00:26:39,000
Speaker 1: we're faving. We're facing at least the worst one in

471
00:26:39,280 --> 00:26:43,120
Speaker 1: my memory, and then, as you're saying here, this mandates

472
00:26:43,240 --> 00:26:47,120
Speaker 1: could make it, you know, a thousand times worse. Yeah,

473
00:26:47,119 --> 00:26:51,200
Speaker 1: we're about to go over cliff. I'm hopeful, and this

474
00:26:51,280 --> 00:26:54,200
Speaker 1: is really sad when I say this, but I'm hopeful

475
00:26:54,200 --> 00:26:57,640
Speaker 1: that Biden is just bluffing and that he will come

476
00:26:57,680 --> 00:26:59,920
Speaker 1: to his senses or the people that advise him will

477
00:27:00,000 --> 00:27:02,800
Speaker 1: them to their senses and realize they it will completely

478
00:27:02,920 --> 00:27:07,080
Speaker 1: tank this economy if they insist on making truck drivers

479
00:27:07,359 --> 00:27:10,960
Speaker 1: take this. Uh. Because this is the other thing I

480
00:27:11,000 --> 00:27:14,760
Speaker 1: found out as a category. As a profession, truck drivers

481
00:27:14,760 --> 00:27:20,000
Speaker 1: are less likely uh to contract COVID. They spend most

482
00:27:20,000 --> 00:27:24,520
Speaker 1: of their time quarantined in the truck cab right driving

483
00:27:25,640 --> 00:27:29,280
Speaker 1: and uh they have very little interaction with other people.

484
00:27:29,760 --> 00:27:32,240
Speaker 1: That it's like the one category of people that makes

485
00:27:32,240 --> 00:27:35,919
Speaker 1: the lead sense to mandate a vaccine on well. And

486
00:27:35,960 --> 00:27:37,760
Speaker 1: it's also like, what is what is the point of

487
00:27:37,760 --> 00:27:40,600
Speaker 1: the vaccines because originally they told us they were going

488
00:27:40,640 --> 00:27:43,080
Speaker 1: to like, you know, President Biden sat there and told

489
00:27:43,119 --> 00:27:45,160
Speaker 1: people you weren't going to get COVID if you got vaccinated.

490
00:27:45,160 --> 00:27:47,160
Speaker 1: That's a lie. So it's like, there is no point

491
00:27:47,320 --> 00:27:49,119
Speaker 1: in getting the vaccine. It's not going to stop the

492
00:27:49,160 --> 00:27:50,879
Speaker 1: spread of COVID. If someone wants to get it as

493
00:27:50,920 --> 00:27:53,840
Speaker 1: an individual because you're worried about your risk from COVID,

494
00:27:53,880 --> 00:27:56,480
Speaker 1: then they should, But it's not going to stop the

495
00:27:56,520 --> 00:27:59,280
Speaker 1: spread of COVID, So manding eating it does not make sense.

496
00:27:59,600 --> 00:28:01,600
Speaker 1: It's like, I just I feel like we are living

497
00:28:02,400 --> 00:28:05,920
Speaker 1: in some sort of bizarro world where nothing makes sense anymore.

498
00:28:06,400 --> 00:28:09,639
Speaker 1: If you if you had a magic vaccine that would

499
00:28:09,760 --> 00:28:13,919
Speaker 1: protect people from other people. But I'm not talking about

500
00:28:14,280 --> 00:28:17,720
Speaker 1: sort of the morality of it. I'm talking about or

501
00:28:17,760 --> 00:28:20,640
Speaker 1: the constitutionality of it. I'm just talking about the logic

502
00:28:21,760 --> 00:28:24,600
Speaker 1: if you if you had one of those, you know,

503
00:28:24,800 --> 00:28:28,439
Speaker 1: you could justify logically, not morally, if it had no

504
00:28:28,520 --> 00:28:33,680
Speaker 1: side effects, that okay, we we gotta get everybody vaccinated

505
00:28:33,720 --> 00:28:37,520
Speaker 1: so that people can't hurt other people. And that's that's,

506
00:28:37,800 --> 00:28:41,360
Speaker 1: by the way, that statements antithetical to my libertarian leaning

507
00:28:41,360 --> 00:28:46,120
Speaker 1: republican ideology. But but I'm going out on this limb

508
00:28:46,160 --> 00:28:48,720
Speaker 1: to say that we aren't there. We aren't even there

509
00:28:48,920 --> 00:28:53,200
Speaker 1: with this vaccine, this vaccine. Nobody is any longer claiming,

510
00:28:53,960 --> 00:28:57,320
Speaker 1: not even the CDC, especially not the CDC, that this

511
00:28:57,360 --> 00:29:01,680
Speaker 1: stops people from giving COVID to other people. In fact,

512
00:29:02,080 --> 00:29:05,760
Speaker 1: there is a study that showed that the vaccinated are

513
00:29:05,840 --> 00:29:11,200
Speaker 1: giving it to the vaccinated inside of healthcare settings. And

514
00:29:11,280 --> 00:29:15,600
Speaker 1: so given that the only the benefits of the vaccine

515
00:29:15,600 --> 00:29:19,920
Speaker 1: provides is as a treatment for if you like, a

516
00:29:20,000 --> 00:29:23,040
Speaker 1: pre treatment for if you when you do get COVID

517
00:29:23,320 --> 00:29:26,560
Speaker 1: to reduce your symptoms, well, because there is a risk

518
00:29:26,600 --> 00:29:32,360
Speaker 1: associated with it, um there is no there is no

519
00:29:32,680 --> 00:29:36,680
Speaker 1: logical imperative for the government to force that on somebody

520
00:29:37,040 --> 00:29:39,880
Speaker 1: unless they are your legal guardian, like the only their

521
00:29:39,920 --> 00:29:42,680
Speaker 1: own person who could make a decision to take a

522
00:29:42,840 --> 00:29:46,440
Speaker 1: drug or treatment is the person themselves for their legal guardians.

523
00:29:47,560 --> 00:29:50,920
Speaker 1: And but what we're the situation we're in is the

524
00:29:51,040 --> 00:29:55,200
Speaker 1: government is pretending that they are are legal guardian now

525
00:29:55,360 --> 00:29:58,560
Speaker 1: that they or that they own this like livestock, and

526
00:29:58,560 --> 00:30:01,680
Speaker 1: that we're receiving the treat not to protect other people,

527
00:30:01,720 --> 00:30:06,760
Speaker 1: but to protect ourselves. But they're the ones prescribing it.

528
00:30:06,960 --> 00:30:10,479
Speaker 1: They own it at that point, and they keep by

529
00:30:10,520 --> 00:30:13,240
Speaker 1: the way. This is why they change the definition of

530
00:30:13,320 --> 00:30:18,360
Speaker 1: vaccination in September. They are slowly boiling the frog by

531
00:30:18,440 --> 00:30:22,360
Speaker 1: changing definitions in order to meet their mandates. Because their

532
00:30:22,400 --> 00:30:28,400
Speaker 1: mandate is an ethical, moral, constitutional, or even scientific in

533
00:30:28,480 --> 00:30:31,680
Speaker 1: the context of the performance of this vaccine. So they

534
00:30:31,720 --> 00:30:33,720
Speaker 1: have to change the definition of the words, and that's

535
00:30:33,760 --> 00:30:35,920
Speaker 1: what they've been doing, and they may soon change the

536
00:30:35,960 --> 00:30:40,080
Speaker 1: definition of fully vaccinated to uh to exclude people who

537
00:30:40,120 --> 00:30:42,360
Speaker 1: had two jabs. Well, I mean, it certainly looks like

538
00:30:42,360 --> 00:30:45,560
Speaker 1: the CDC director has opened that door in terms of

539
00:30:45,840 --> 00:30:47,640
Speaker 1: as you just said, it has to be three. But

540
00:30:47,800 --> 00:30:50,040
Speaker 1: it's also like I feel like there's also risk, and

541
00:30:50,080 --> 00:30:51,520
Speaker 1: I feel like people don't talk about that. I mean,

542
00:30:51,520 --> 00:30:54,480
Speaker 1: you have other countries that are pausing the Madurana vaccine

543
00:30:54,520 --> 00:30:57,200
Speaker 1: for you know, thirty and under due to myocardi ITAs,

544
00:30:57,280 --> 00:30:59,400
Speaker 1: you have blood clots. There's even death. I mean I

545
00:30:59,440 --> 00:31:02,400
Speaker 1: was looking at there's which you can't draw a straight

546
00:31:02,440 --> 00:31:05,959
Speaker 1: line to it because it is self reporting, so you know,

547
00:31:06,000 --> 00:31:08,200
Speaker 1: it's with a grain of salt, so this is not absolute.

548
00:31:08,840 --> 00:31:10,800
Speaker 1: But you know, I look the other day, there's over

549
00:31:10,880 --> 00:31:13,480
Speaker 1: nine thousand deaths in less than a year. That's nine

550
00:31:13,480 --> 00:31:15,840
Speaker 1: times more than what's been reported for a twenty year

551
00:31:15,880 --> 00:31:21,000
Speaker 1: period for other vaccines between two thousand to two thousand twenty.

552
00:31:21,080 --> 00:31:23,160
Speaker 1: So it's like, I just feel like people aren't being

553
00:31:23,200 --> 00:31:25,120
Speaker 1: honest about the fact when there when there is that

554
00:31:25,160 --> 00:31:27,320
Speaker 1: element of risk, and I think that's still undiscovered. We

555
00:31:27,480 --> 00:31:31,239
Speaker 1: don't really know the full risk involved. But when there

556
00:31:31,280 --> 00:31:33,440
Speaker 1: is an element of risk, you shouldn't be forcing people

557
00:31:33,720 --> 00:31:35,880
Speaker 1: to get it, particularly again when it when it's not

558
00:31:35,880 --> 00:31:38,080
Speaker 1: going to stop the spread of COVID. Well, the and

559
00:31:38,240 --> 00:31:40,920
Speaker 1: the last people, the very last people that should be

560
00:31:40,960 --> 00:31:43,920
Speaker 1: forced to take it are pregnant women or women who

561
00:31:43,920 --> 00:31:48,360
Speaker 1: are going to conceive or half conceived, because you you know,

562
00:31:48,440 --> 00:31:50,600
Speaker 1: you can develop a drug at warp speed, but you

563
00:31:50,720 --> 00:31:56,040
Speaker 1: can't do tests long term tests on UH embryos and

564
00:31:56,160 --> 00:32:00,840
Speaker 1: babies and infants at warp speed. It takes nine months

565
00:32:00,880 --> 00:32:04,080
Speaker 1: for a baby to be bored, and then it's it's

566
00:32:04,120 --> 00:32:06,480
Speaker 1: really you know, two or three years until you know

567
00:32:06,560 --> 00:32:11,080
Speaker 1: if there were UH in many cases developmental issues as

568
00:32:11,120 --> 00:32:15,360
Speaker 1: a condition of something that happened in the womb or

569
00:32:15,720 --> 00:32:22,480
Speaker 1: during breastfeating. And it's just immoral. By the way, this

570
00:32:22,560 --> 00:32:24,640
Speaker 1: is something I've pointed out on Twitter, and I think

571
00:32:24,640 --> 00:32:29,320
Speaker 1: you've retweeted this. I probably have. They haven't approved the

572
00:32:29,400 --> 00:32:34,440
Speaker 1: vaccine for children ages zero to five. Okay, at the

573
00:32:34,440 --> 00:32:36,840
Speaker 1: time I tweeted it, I think it was zero to eleven.

574
00:32:37,000 --> 00:32:41,520
Speaker 1: If they haven't approved it for children ages zero to five,

575
00:32:41,640 --> 00:32:45,080
Speaker 1: how can they prove it approve it for women who

576
00:32:45,080 --> 00:32:49,680
Speaker 1: are carrying a baby that is zero age zero. And

577
00:32:49,760 --> 00:32:53,320
Speaker 1: they say, well, this is where they get real hand wavy.

578
00:32:53,560 --> 00:32:57,240
Speaker 1: And they say, well, the vaccine doesn't cross the placenta,

579
00:32:57,320 --> 00:33:01,800
Speaker 1: doesn't mix in the bloodstreams. Yet this literally the same

580
00:33:01,840 --> 00:33:04,080
Speaker 1: people who are saying that, or the same groups of

581
00:33:04,160 --> 00:33:07,160
Speaker 1: people will say, oh, if you get the vaccine while

582
00:33:07,160 --> 00:33:11,280
Speaker 1: you're pregnant or breastfeeding, you can pass your antibodies onto

583
00:33:11,360 --> 00:33:14,239
Speaker 1: your baby, and so you should You should definitely get

584
00:33:14,320 --> 00:33:16,680
Speaker 1: vaccinated while you're pregnant. In that way, your baby will

585
00:33:16,720 --> 00:33:21,239
Speaker 1: be born already immune. How could you say that's going

586
00:33:21,320 --> 00:33:25,960
Speaker 1: to work without admitting that something is crossing the placenta

587
00:33:26,160 --> 00:33:30,200
Speaker 1: or being exchanged between the bloodstream of the baby and

588
00:33:30,200 --> 00:33:32,800
Speaker 1: the mother having to do with this vaccine. Well, and

589
00:33:32,840 --> 00:33:35,320
Speaker 1: I haven't had kids yet. Uh, And my parents still

590
00:33:35,360 --> 00:33:37,040
Speaker 1: have hope for me. I am thirty six, so they

591
00:33:37,320 --> 00:33:39,840
Speaker 1: still are holding out. They're still holding out hope that

592
00:33:40,280 --> 00:33:42,720
Speaker 1: I will find someone to mary and eventually have kids.

593
00:33:42,760 --> 00:33:45,320
Speaker 1: So there is hope. But you know, so that's a

594
00:33:45,320 --> 00:33:48,160
Speaker 1: concern as well then obviously being low risk. It's just

595
00:33:48,360 --> 00:33:51,000
Speaker 1: you know, if if I was seventy five and then

596
00:33:51,040 --> 00:33:53,680
Speaker 1: potentially high risk, then you know that equation would look

597
00:33:53,720 --> 00:33:56,120
Speaker 1: different for me and where the vaccine would probably make

598
00:33:56,120 --> 00:33:59,440
Speaker 1: more sense to me. You had recently questioned Attorney General

599
00:33:59,520 --> 00:34:02,520
Speaker 1: Merrik Arlan and you asked them about the d o

600
00:34:02,640 --> 00:34:06,120
Speaker 1: J denying religious exemptions. I want to play this exchange

601
00:34:06,680 --> 00:34:08,239
Speaker 1: for the folks at home and then talk to you

602
00:34:08,280 --> 00:34:11,040
Speaker 1: about it after. Can you tell me if anybody has

603
00:34:11,040 --> 00:34:15,400
Speaker 1: been granted a religious exemption? I don't know, so I

604
00:34:15,480 --> 00:34:18,120
Speaker 1: believe that it's fraud, in fact fraud to tell people

605
00:34:18,160 --> 00:34:21,759
Speaker 1: that you're going to preserve their constitutional religious accommodations by

606
00:34:21,760 --> 00:34:23,680
Speaker 1: telling they can apply for an exemption and then not

607
00:34:24,360 --> 00:34:27,359
Speaker 1: allowing any of those exemptions. And I'm sad to see

608
00:34:27,400 --> 00:34:29,560
Speaker 1: that you can't tell us that anybody has been granted

609
00:34:29,560 --> 00:34:32,440
Speaker 1: an exemption. Congressman, you would ask that question to Attorney

610
00:34:32,520 --> 00:34:38,160
Speaker 1: General Merrick Garland about them denying religious exemptions. Why are

611
00:34:38,200 --> 00:34:40,799
Speaker 1: they doing that? Why are they denying religious exemptions for

612
00:34:40,800 --> 00:34:44,560
Speaker 1: the vaccine? Well, there's a whistleblower from the military who's

613
00:34:44,680 --> 00:34:47,319
Speaker 1: released internal memos that shows that you're just doing a

614
00:34:47,360 --> 00:34:51,080
Speaker 1: blanket denial of all religious exemptions. That's troubling to me.

615
00:34:51,840 --> 00:34:54,320
Speaker 1: I haven't confirmed the veracity of it, but if it's

616
00:34:54,320 --> 00:34:57,480
Speaker 1: it's true, it's problematic. So I asked Merrick Garland, the

617
00:34:57,719 --> 00:35:02,480
Speaker 1: chief law enforcement officer of the Land, um were they

618
00:35:02,920 --> 00:35:08,240
Speaker 1: receiving requests for religious exemptions at the Department of Justice

619
00:35:08,320 --> 00:35:12,480
Speaker 1: for employees of the Department of Justice and was that

620
00:35:12,640 --> 00:35:15,520
Speaker 1: required by law? And he actually quoted the law that

621
00:35:15,640 --> 00:35:19,480
Speaker 1: requires them to give religious exemptions for the vaccine mandates.

622
00:35:20,160 --> 00:35:24,319
Speaker 1: It's the Religious Freedom Restoration Act. And it was past

623
00:35:25,360 --> 00:35:31,279
Speaker 1: guests who introduced it, Chuck Schumer, Okay, the bill that

624
00:35:31,360 --> 00:35:34,000
Speaker 1: requires them to give religious exemptions. By the way, this

625
00:35:34,040 --> 00:35:37,040
Speaker 1: is when the Democrat cared about minorities and you know,

626
00:35:38,520 --> 00:35:43,160
Speaker 1: religions that might be under represented. Um. And so the

627
00:35:43,200 --> 00:35:47,600
Speaker 1: Religious Freedom Restoration Act, according to Merrick Garland in his testimony,

628
00:35:48,080 --> 00:35:53,960
Speaker 1: requires them to grant religious accommodations, which means religious exemptions

629
00:35:53,960 --> 00:35:57,160
Speaker 1: of vaccination. He refused, or he said he didn't know,

630
00:35:57,239 --> 00:35:59,600
Speaker 1: but all day he told us he didn't know. So

631
00:35:59,640 --> 00:36:02,359
Speaker 1: he refused or didn't know the answer to how many

632
00:36:02,400 --> 00:36:05,280
Speaker 1: had been applied for and how many had been granted.

633
00:36:05,800 --> 00:36:08,359
Speaker 1: And I said, well, that's a fraud if you if

634
00:36:08,400 --> 00:36:13,520
Speaker 1: you are offering something and it's not available, and so um. Actually,

635
00:36:13,600 --> 00:36:17,480
Speaker 1: this week I had another chance to question the head

636
00:36:17,680 --> 00:36:21,319
Speaker 1: of the Government Services Agency. This is the g s A.

637
00:36:21,800 --> 00:36:25,680
Speaker 1: They're responsible for every piece of federal property. It's owned

638
00:36:25,680 --> 00:36:28,320
Speaker 1: by the federal government, or least by the federal government.

639
00:36:28,680 --> 00:36:31,640
Speaker 1: And I asked her how many religious exemptions had been

640
00:36:31,680 --> 00:36:34,480
Speaker 1: requested and how many had been granted, and she didn't know.

641
00:36:35,120 --> 00:36:38,560
Speaker 1: And the deadline is is um the third week in

642
00:36:38,600 --> 00:36:43,000
Speaker 1: November for federal employees and December eight for federal contractors.

643
00:36:43,400 --> 00:36:45,440
Speaker 1: And I said, so, do you have the form ready?

644
00:36:45,480 --> 00:36:48,400
Speaker 1: Can you tell me how they apply? She didn't know

645
00:36:48,560 --> 00:36:51,160
Speaker 1: they didn't have it ready. I said, have you received

646
00:36:51,160 --> 00:36:54,839
Speaker 1: any advisement from the Biden administration on how to adjudicate

647
00:36:55,040 --> 00:36:59,239
Speaker 1: these applications? She didn't know, didn't have anything, said she

648
00:36:59,280 --> 00:37:02,040
Speaker 1: would share it with me later. I'm like, this deadline

649
00:37:02,080 --> 00:37:04,839
Speaker 1: is coming up, and you can't tell me anybody's been

650
00:37:05,040 --> 00:37:09,960
Speaker 1: granted a religious exemption. This is totally ridiculous. It's illegal,

651
00:37:10,360 --> 00:37:13,440
Speaker 1: and it's unconstitutional. I don't think they've granted. It's also

652
00:37:13,520 --> 00:37:16,560
Speaker 1: just so sad to be purging so many good men

653
00:37:16,680 --> 00:37:19,040
Speaker 1: and women who are willing to risk their lives for

654
00:37:19,040 --> 00:37:24,280
Speaker 1: this country, from the military, from the police, firefighters, nurses,

655
00:37:24,480 --> 00:37:27,880
Speaker 1: all throughout society. You have cities, and then also with

656
00:37:27,920 --> 00:37:32,200
Speaker 1: these federal mandates forthcoming of purging just good, hard working

657
00:37:32,200 --> 00:37:36,560
Speaker 1: people from society over this lunacy regarding the vaccines. It's

658
00:37:36,560 --> 00:37:39,319
Speaker 1: just it's it's heartbreaking to see in America. Just does

659
00:37:39,360 --> 00:37:42,120
Speaker 1: not feel right. It feels anti American, uh, and it

660
00:37:42,160 --> 00:37:44,560
Speaker 1: bothers me deep to the core. All these people were

661
00:37:44,640 --> 00:37:48,719
Speaker 1: heroes of the pandemic, the firefires, the policeman, the first responders,

662
00:37:48,760 --> 00:37:53,359
Speaker 1: the nurses, the truckers, they were heroes too, back when

663
00:37:53,360 --> 00:37:55,960
Speaker 1: Congress wouldn't even come to work. By the way, I

664
00:37:56,000 --> 00:37:58,440
Speaker 1: forced them to come to work by quoting the Constitution,

665
00:37:58,480 --> 00:38:00,560
Speaker 1: and they all get mad at me. They did come

666
00:38:00,600 --> 00:38:04,000
Speaker 1: to work. But and now they're doing proxy voting, even

667
00:38:04,040 --> 00:38:06,640
Speaker 1: though they've all all the Democrats have been vaccinated. In

668
00:38:06,680 --> 00:38:08,640
Speaker 1: any given week, they'll be like a third of them,

669
00:38:08,640 --> 00:38:10,880
Speaker 1: they don't even come to work. They don't come to work.

670
00:38:11,200 --> 00:38:13,959
Speaker 1: Yet they want to mandate a vaccine for the people

671
00:38:14,000 --> 00:38:16,920
Speaker 1: who are coming to work. They did call them heroes,

672
00:38:17,320 --> 00:38:21,160
Speaker 1: and now they they are blaming them for the pandemic

673
00:38:21,640 --> 00:38:24,880
Speaker 1: because they won't take the vaccine, which doesn't even stop

674
00:38:24,920 --> 00:38:28,920
Speaker 1: the pandemic. And then the one that's that's the most

675
00:38:28,920 --> 00:38:33,160
Speaker 1: detestable to me is applying it to the military. These

676
00:38:33,320 --> 00:38:36,759
Speaker 1: people are facing court martials. They would be you put

677
00:38:36,800 --> 00:38:40,400
Speaker 1: in categories with rapists and murderers and be denied for instance,

678
00:38:40,400 --> 00:38:42,920
Speaker 1: they're right to own a gun after their discharged from

679
00:38:42,920 --> 00:38:46,520
Speaker 1: the military. These are like felonies that they would be

680
00:38:46,600 --> 00:38:49,640
Speaker 1: convicted of. Now, whether that comes to fruition or not,

681
00:38:49,719 --> 00:38:52,960
Speaker 1: I don't know. Even even if they just gave them

682
00:38:52,960 --> 00:38:56,680
Speaker 1: an honorable discharge, that is wrong. That's purging them from

683
00:38:56,680 --> 00:39:00,640
Speaker 1: the military um and it's you know, in many cases,

684
00:39:01,120 --> 00:39:03,279
Speaker 1: you've got people who been in eighteen years, they've got

685
00:39:03,280 --> 00:39:06,360
Speaker 1: two more years to get their full retirement, and they're

686
00:39:06,400 --> 00:39:09,800
Speaker 1: being faced with losing all of that, losing their g

687
00:39:10,000 --> 00:39:14,040
Speaker 1: I bill, but maintaining their bodily integrity. And it's not

688
00:39:14,480 --> 00:39:17,680
Speaker 1: it's not a stressful situation we should put them in

689
00:39:18,239 --> 00:39:24,120
Speaker 1: because more UH veterans and active duty members of our

690
00:39:24,160 --> 00:39:27,280
Speaker 1: military die of suicide in a week then have died

691
00:39:27,960 --> 00:39:30,879
Speaker 1: of COVID in a year, and so you're putting those

692
00:39:30,880 --> 00:39:33,600
Speaker 1: folks under even more stress, and it's just wrong. There

693
00:39:33,640 --> 00:39:37,319
Speaker 1: there are heroes. They're not to be experimented on or

694
00:39:37,360 --> 00:39:39,960
Speaker 1: forced to take this vaccine. It really is heartbreaking. And

695
00:39:40,000 --> 00:39:43,560
Speaker 1: I've gotten so many messages from people who are just

696
00:39:43,560 --> 00:39:45,920
Speaker 1: worried about their livelihoods. They've got kids at home, they've

697
00:39:45,920 --> 00:39:47,960
Speaker 1: served our country for a long time, and it just

698
00:39:48,120 --> 00:39:49,920
Speaker 1: it really really really breaks my heart. I mean, I

699
00:39:50,600 --> 00:39:52,720
Speaker 1: think about this way too much because I just feel

700
00:39:52,719 --> 00:39:55,160
Speaker 1: like what is happening deep to my core is just

701
00:39:55,280 --> 00:39:58,399
Speaker 1: so wrong. It's so wrong. And I'm doing a little

702
00:39:58,440 --> 00:40:00,319
Speaker 1: advertised yes, sir, I'm here for one of that. I

703
00:40:00,440 --> 00:40:03,000
Speaker 1: was gonna ask you. It's so perfect. I was going

704
00:40:03,040 --> 00:40:05,440
Speaker 1: to ask you about that. So please, we're on the

705
00:40:05,440 --> 00:40:09,440
Speaker 1: same wavelength I have. I introduced this bill back in June.

706
00:40:09,440 --> 00:40:11,800
Speaker 1: There are people say, well, it's a little too late, Congress,

707
00:40:11,800 --> 00:40:15,080
Speaker 1: and Matthew No, I introduced this before there was even

708
00:40:15,200 --> 00:40:17,400
Speaker 1: really more than a rumor that there might be a

709
00:40:17,440 --> 00:40:21,320
Speaker 1: military vaccine mandate. It's HR thirty eight sixty. It would

710
00:40:21,320 --> 00:40:26,440
Speaker 1: prevent the military from forcing its members or coercing its members,

711
00:40:26,600 --> 00:40:29,399
Speaker 1: because that's what's been happening all summer in this fall

712
00:40:29,440 --> 00:40:32,080
Speaker 1: as coercion. They would prevent them from being forced or

713
00:40:32,120 --> 00:40:36,160
Speaker 1: coerced into taking the vaccine. And I think we're almost

714
00:40:36,239 --> 00:40:40,839
Speaker 1: up to fifty co sponsors. And there's a little parliamentary

715
00:40:40,840 --> 00:40:44,560
Speaker 1: thing you can do in Congress called a discharge petition.

716
00:40:45,120 --> 00:40:49,320
Speaker 1: If I can get two eighteen signatures on a discharge petition,

717
00:40:49,719 --> 00:40:53,040
Speaker 1: instead of this bill being stuck in the Armed Services Committee,

718
00:40:53,200 --> 00:40:55,640
Speaker 1: it will immediately proceed to the floor and we will

719
00:40:55,680 --> 00:40:59,160
Speaker 1: immediately vote on it in spite of Pelosi's wishes, and

720
00:40:59,239 --> 00:41:02,160
Speaker 1: we could stop this vaccine mandate if I can get

721
00:41:02,160 --> 00:41:05,600
Speaker 1: it to eighteen signatures. Now that would require presumably all

722
00:41:05,600 --> 00:41:10,000
Speaker 1: to twelve Republicans and six Democrats. But there's a chance.

723
00:41:10,040 --> 00:41:12,759
Speaker 1: And so if people are have family members in the

724
00:41:12,800 --> 00:41:16,360
Speaker 1: military and they want to do something, ask your member

725
00:41:16,360 --> 00:41:20,040
Speaker 1: of Congress have they signed a discharge petition? So thirty

726
00:41:20,080 --> 00:41:23,560
Speaker 1: eight sixty HR sixty and I am looking at I

727
00:41:23,600 --> 00:41:26,640
Speaker 1: hope this number is right. If not, someone's getting really spammed.

728
00:41:26,640 --> 00:41:29,040
Speaker 1: But I believe this is the congressional switchboard. You can

729
00:41:29,080 --> 00:41:32,919
Speaker 1: call to zero two two two four three one two

730
00:41:33,080 --> 00:41:36,279
Speaker 1: one three, one to one and ask your member of

731
00:41:36,320 --> 00:41:38,440
Speaker 1: Congress to sign on and and say the bill one

732
00:41:38,440 --> 00:41:40,880
Speaker 1: more time, Congressman. So people have it at home. HR

733
00:41:41,239 --> 00:41:44,960
Speaker 1: thirty eight sixty to prevent members of the military from

734
00:41:45,000 --> 00:41:48,440
Speaker 1: being forced to receive the COVID vaccine. Yeah, call your

735
00:41:48,480 --> 00:41:50,600
Speaker 1: member of Congress and tell them the police sign on

736
00:41:50,640 --> 00:41:52,719
Speaker 1: to this if they care about our military, if they

737
00:41:52,760 --> 00:41:55,160
Speaker 1: care about integrity, if they care about and protecting the

738
00:41:55,160 --> 00:41:57,680
Speaker 1: people who are willing to risk life in limb for

739
00:41:57,840 --> 00:42:02,480
Speaker 1: US and or freedoms are being denied their very own freedom. Uh,

740
00:42:02,480 --> 00:42:04,520
Speaker 1: and it's wrong. You know, Congress, we tweeted out something

741
00:42:04,560 --> 00:42:07,319
Speaker 1: today that that made me giggle. You had talked about

742
00:42:07,400 --> 00:42:09,200
Speaker 1: I guess you guys are still have to wear a

743
00:42:09,200 --> 00:42:11,440
Speaker 1: mask or they're still forcing masks? Is that right on

744
00:42:11,520 --> 00:42:14,120
Speaker 1: Capital I haven't been to Capital Hole and forever. It's

745
00:42:14,200 --> 00:42:17,000
Speaker 1: kind of funny the Republicans. You can tell the Republicans

746
00:42:17,000 --> 00:42:19,799
Speaker 1: from the Democrats now in the House because Republicans aren't

747
00:42:19,800 --> 00:42:24,479
Speaker 1: wearing masks and Democrats are in the hallways. I would

748
00:42:24,520 --> 00:42:26,800
Speaker 1: imagine maybe you could just tell through the eyes that

749
00:42:26,840 --> 00:42:30,640
Speaker 1: they're kind of souling today with with the classis from

750
00:42:30,719 --> 00:42:35,000
Speaker 1: last night. The worst part about the fact that all

751
00:42:35,000 --> 00:42:38,040
Speaker 1: the Democrats are wearing masks is I woke up this

752
00:42:38,080 --> 00:42:40,400
Speaker 1: morning eager to come to work to see the sullen

753
00:42:40,480 --> 00:42:43,280
Speaker 1: look on their faces, you know, like when Trump beat

754
00:42:43,360 --> 00:42:47,920
Speaker 1: Hillary Clinton in I remember coming back to Congress that

755
00:42:48,000 --> 00:42:51,120
Speaker 1: they just looked like somebody had shot their dog, and

756
00:42:51,800 --> 00:42:54,640
Speaker 1: I was looking forward to that today, and then I

757
00:42:54,719 --> 00:42:57,160
Speaker 1: realized they're all going to be wearing masks, and I

758
00:42:57,160 --> 00:43:00,760
Speaker 1: won't be able to see those sorry soul and looks

759
00:43:00,800 --> 00:43:03,160
Speaker 1: on their faces. But you can be sure that's what's

760
00:43:03,160 --> 00:43:05,960
Speaker 1: behind those masks today here in Congress, which also doesn't

761
00:43:06,040 --> 00:43:09,839
Speaker 1: really it's not really a strong testimony to the vaccines.

762
00:43:10,040 --> 00:43:13,040
Speaker 1: If everyone who's vaccinated on Capitol Health, these Democrats still

763
00:43:13,080 --> 00:43:15,160
Speaker 1: feel the need to wear a masks, still live in

764
00:43:15,239 --> 00:43:18,959
Speaker 1: fear of COVID when they're fully vaccinated. It doesn't really

765
00:43:19,000 --> 00:43:23,520
Speaker 1: send that message of strength people at home, not at all.

766
00:43:23,600 --> 00:43:26,440
Speaker 1: I mean, look at the photo op Kamala Harris did.

767
00:43:26,760 --> 00:43:29,000
Speaker 1: The doctor is wearing a mask. She's wearing a mask,

768
00:43:29,040 --> 00:43:33,840
Speaker 1: and she's receiving her third shot of the vaccine in

769
00:43:33,960 --> 00:43:37,279
Speaker 1: this photo op. And it's like, this is supposed to

770
00:43:37,360 --> 00:43:40,560
Speaker 1: convince us to take the three shots of the vaccine

771
00:43:40,560 --> 00:43:45,200
Speaker 1: and they're still wearing the mask. It's it's um it's ridiculous.

772
00:43:45,200 --> 00:43:49,040
Speaker 1: I think it promotes vaccine hesitancy, for instance. It don't

773
00:43:49,080 --> 00:43:51,360
Speaker 1: even get me started about the science of these masks

774
00:43:51,440 --> 00:43:54,160
Speaker 1: and the act that in the beginning, do you remember

775
00:43:54,400 --> 00:43:57,400
Speaker 1: Dr Fauci said, don't wear a mask. You're not trained.

776
00:43:57,719 --> 00:44:00,160
Speaker 1: It wouldn't fit right, you wouldn't know how to use it,

777
00:44:00,320 --> 00:44:03,839
Speaker 1: it can't possibly work. And they went from that at

778
00:44:03,880 --> 00:44:06,600
Speaker 1: the beginning, when they were telling us fifteen days to

779
00:44:06,640 --> 00:44:11,400
Speaker 1: slow the spread, they immediately flipped to saying to having

780
00:44:11,400 --> 00:44:15,560
Speaker 1: the Attorney General, I'm sorry, the Surgeon General on TV

781
00:44:16,080 --> 00:44:18,759
Speaker 1: showing people how to fold up a handkerchief and make

782
00:44:18,840 --> 00:44:21,600
Speaker 1: their own mask. And say this will work for you.

783
00:44:21,920 --> 00:44:25,759
Speaker 1: It's so ridiculous. They've grown science out the window. Well,

784
00:44:25,920 --> 00:44:28,279
Speaker 1: I think it's just theater and the sense. It's the

785
00:44:28,320 --> 00:44:32,440
Speaker 1: government trying to make people feel safer when the government

786
00:44:32,640 --> 00:44:35,560
Speaker 1: can't make us safer, and which is why we shouldn't

787
00:44:35,600 --> 00:44:37,680
Speaker 1: be giving up our freedoms for the false sense of

788
00:44:37,719 --> 00:44:40,200
Speaker 1: security or safety from the government which in which they

789
00:44:40,200 --> 00:44:43,160
Speaker 1: cannot provide, which is a you know, but I I

790
00:44:43,200 --> 00:44:46,800
Speaker 1: feel like hopefully praised Jesus with last night. Maybe people

791
00:44:46,800 --> 00:44:49,120
Speaker 1: are finally waking up. And I'm also hoping that now

792
00:44:49,160 --> 00:44:52,520
Speaker 1: the government is coming for children with the vaccine ages

793
00:44:52,600 --> 00:44:55,600
Speaker 1: five to eleven. I'm hoping that just like with the

794
00:44:55,640 --> 00:44:58,240
Speaker 1: fight against school boards across the country when they started

795
00:44:58,239 --> 00:45:01,240
Speaker 1: realizing what their children were being taught government run schools,

796
00:45:01,280 --> 00:45:03,880
Speaker 1: I'm hoping now that they're coming for the children. Parents

797
00:45:03,880 --> 00:45:06,680
Speaker 1: realize that children are incredibly low risk where the flu

798
00:45:06,840 --> 00:45:09,000
Speaker 1: is actually a bigger risk. And you know, it's a

799
00:45:09,000 --> 00:45:12,000
Speaker 1: wake up call to Americans that, you know, maybe the

800
00:45:12,040 --> 00:45:16,040
Speaker 1: government doesn't have our best interests at our here. Yeah,

801
00:45:16,080 --> 00:45:19,319
Speaker 1: you know, I think the Democrats they've told this sort

802
00:45:19,360 --> 00:45:22,320
Speaker 1: of at a macro level, and they see that people

803
00:45:22,920 --> 00:45:25,080
Speaker 1: you know, maybe a majority of people are for vaccine

804
00:45:25,120 --> 00:45:27,600
Speaker 1: mandates or masks, but what they don't do is look

805
00:45:27,640 --> 00:45:30,399
Speaker 1: at the cost tabs and see that they're alienating their

806
00:45:30,440 --> 00:45:36,000
Speaker 1: own base of voters like suburban moms okay, who like

807
00:45:36,120 --> 00:45:39,200
Speaker 1: it or not, decide a lot of elections and decided

808
00:45:39,680 --> 00:45:42,520
Speaker 1: and probably to a large part of the elections in Virginia.

809
00:45:43,080 --> 00:45:46,279
Speaker 1: And when you tell suburban moms that we are going

810
00:45:46,320 --> 00:45:49,680
Speaker 1: to tell you what your children will learn and we

811
00:45:49,760 --> 00:45:55,040
Speaker 1: will tell you what medical treatments your children will receive, um,

812
00:45:55,080 --> 00:45:58,279
Speaker 1: that's that turns them off from Democrats. And just to

813
00:45:58,400 --> 00:46:02,120
Speaker 1: key in on something you said, agree uh with you,

814
00:46:02,200 --> 00:46:04,640
Speaker 1: but I want to put a point on it. Uh.

815
00:46:04,840 --> 00:46:06,840
Speaker 1: You know, you said they want us to wear the

816
00:46:06,920 --> 00:46:11,440
Speaker 1: masks so that we feel safer, but in reality that

817
00:46:11,440 --> 00:46:14,040
Speaker 1: that's sort of at the first level, that's what they're doing,

818
00:46:14,080 --> 00:46:16,960
Speaker 1: but even deeper than that, they want you to be afraid,

819
00:46:17,400 --> 00:46:19,920
Speaker 1: and so they want you to think that they're the

820
00:46:19,960 --> 00:46:22,319
Speaker 1: only ones who can make you safe. But ultimately what

821
00:46:22,360 --> 00:46:27,719
Speaker 1: they're doing is keeping this notion of fear instilled within you.

822
00:46:28,360 --> 00:46:30,319
Speaker 1: And you know you started out with that clip from

823
00:46:30,360 --> 00:46:33,360
Speaker 1: Bill Maher and that's what he was pushing back against

824
00:46:33,360 --> 00:46:36,240
Speaker 1: just quit being afraid. Let's just go on with our lives.

825
00:46:36,440 --> 00:46:39,080
Speaker 1: We can't live like this for it quick break more

826
00:46:39,160 --> 00:46:51,480
Speaker 1: of confers and Massy on the other side. Well, and

827
00:46:51,560 --> 00:46:53,839
Speaker 1: it was really at the beginning of COVID too that

828
00:46:53,920 --> 00:46:57,120
Speaker 1: this fear started being pushed unnecessarily in the sense of

829
00:46:57,160 --> 00:47:00,239
Speaker 1: like everyone thought, the uh, the fatality rate, it was

830
00:47:00,280 --> 00:47:02,440
Speaker 1: like three percent or something. But then you had people

831
00:47:02,480 --> 00:47:04,879
Speaker 1: like Dr E. Needs of Stanford who wrote that op

832
00:47:05,000 --> 00:47:07,359
Speaker 1: ed in stat News which really completely blew my mind

833
00:47:07,400 --> 00:47:10,200
Speaker 1: and changed my perspective on it, who made perfect sense,

834
00:47:10,200 --> 00:47:13,880
Speaker 1: and he was saying, look, we're making these monumental public

835
00:47:14,520 --> 00:47:17,880
Speaker 1: policy decisions based off of terrible data. And basically the

836
00:47:17,920 --> 00:47:20,480
Speaker 1: fatality rate was completely skewed because the people we were

837
00:47:20,480 --> 00:47:23,040
Speaker 1: testing where the individuals are showing up at the hospital

838
00:47:23,160 --> 00:47:26,040
Speaker 1: sick and potentially near death. So of course the numbers

839
00:47:26,040 --> 00:47:28,960
Speaker 1: were skewed and we were missing throughout the country people

840
00:47:29,080 --> 00:47:32,279
Speaker 1: have had COVID by ten to sixty five fold, and

841
00:47:32,320 --> 00:47:34,640
Speaker 1: if those people had been calculated in, then the fatality

842
00:47:34,719 --> 00:47:37,400
Speaker 1: rate was significantly less than we originally thought. But and

843
00:47:37,440 --> 00:47:39,080
Speaker 1: people knew this, and there were ways that we could

844
00:47:39,080 --> 00:47:43,480
Speaker 1: have gotten that information with the sterological tests, which eventually,

845
00:47:43,600 --> 00:47:46,719
Speaker 1: you know, Stanford did in Santa Clara, and then You're

846
00:47:47,080 --> 00:47:49,319
Speaker 1: actually eventually did in the Miami Dade County, and then

847
00:47:49,360 --> 00:47:51,200
Speaker 1: that's when we found out that we were missing cases

848
00:47:51,440 --> 00:47:54,600
Speaker 1: by significant magnitude. But they still didn't change course and

849
00:47:54,640 --> 00:47:56,680
Speaker 1: a lot of these places, which always blew my mind.

850
00:47:56,800 --> 00:47:58,719
Speaker 1: Or even in New York, I think it was May

851
00:47:58,840 --> 00:48:01,960
Speaker 1: of I believe it was the majority people showing up

852
00:48:01,960 --> 00:48:04,080
Speaker 1: at the hospital. We're staying at home. So it's like

853
00:48:04,480 --> 00:48:06,480
Speaker 1: it's like we had the information in front of us,

854
00:48:06,520 --> 00:48:08,960
Speaker 1: but like the media didn't cover it, and also our

855
00:48:09,000 --> 00:48:13,239
Speaker 1: public health officials kept missing it and kept driving fear instead. Oh, absolutely,

856
00:48:13,440 --> 00:48:15,359
Speaker 1: you're right. They would go in and they would take

857
00:48:15,920 --> 00:48:18,560
Speaker 1: the fatality rates inside of a nursing home, for instance,

858
00:48:18,880 --> 00:48:21,799
Speaker 1: and and report that as the fatality rate. But if

859
00:48:21,800 --> 00:48:25,800
Speaker 1: you just looked at cruise ships, for instance. I looked

860
00:48:25,800 --> 00:48:29,040
Speaker 1: at that those numbers, and I'm from a small county

861
00:48:29,040 --> 00:48:33,080
Speaker 1: in Kentucky. We have only about fourteen thousand people in

862
00:48:33,080 --> 00:48:36,759
Speaker 1: that county. And uh, one of my staff said, well,

863
00:48:36,800 --> 00:48:38,879
Speaker 1: how bad do you think this is? This was back

864
00:48:38,920 --> 00:48:41,600
Speaker 1: when they were saying it's like Hibola, And I said,

865
00:48:41,640 --> 00:48:44,480
Speaker 1: you know what, I think it's real. Look at the

866
00:48:44,560 --> 00:48:47,680
Speaker 1: cruise ship numbers. Just extrapolating from that, out of our

867
00:48:47,680 --> 00:48:50,879
Speaker 1: county of fourteen thousand, we're gonna know somebody who died

868
00:48:50,920 --> 00:48:53,239
Speaker 1: from this. By the time this is over, we're going

869
00:48:53,320 --> 00:48:56,000
Speaker 1: to know somebody. In fact, they'll probably be about fifty

870
00:48:56,080 --> 00:48:59,359
Speaker 1: people out of UH in our within our county die.

871
00:49:00,000 --> 00:49:02,920
Speaker 1: And it turns out there's been like fifty people in

872
00:49:02,960 --> 00:49:05,680
Speaker 1: our county die. And I made that prediction at the

873
00:49:05,800 --> 00:49:08,399
Speaker 1: very beginning, just based on the cruise ship data, which

874
00:49:08,440 --> 00:49:11,120
Speaker 1: is really all we had. But what you could assume

875
00:49:11,239 --> 00:49:13,400
Speaker 1: is pretty much everybody on that cruise ship by the

876
00:49:13,440 --> 00:49:16,720
Speaker 1: time it got back was exposed to it, whether they

877
00:49:16,719 --> 00:49:19,719
Speaker 1: tested positive for it or not. And that wasn't the

878
00:49:19,800 --> 00:49:23,400
Speaker 1: youngest you know, sample set there was, and you know,

879
00:49:23,520 --> 00:49:28,680
Speaker 1: nobody really could foresee the delta variant, which I think

880
00:49:28,680 --> 00:49:34,439
Speaker 1: we were really close to her immunity UH six nine

881
00:49:34,480 --> 00:49:38,480
Speaker 1: months ago. And what happened is the transmissibility of this

882
00:49:38,560 --> 00:49:40,920
Speaker 1: went up, which changes the percentage you have to have

883
00:49:41,040 --> 00:49:43,760
Speaker 1: for her community. By the way, the number of people

884
00:49:43,880 --> 00:49:48,200
Speaker 1: vaccinated doesn't really change the amount with this vaccine that

885
00:49:48,280 --> 00:49:50,799
Speaker 1: you need for her community. When this is all over,

886
00:49:50,920 --> 00:49:55,040
Speaker 1: LEASA just gonna be there's gonna be uh, three categories

887
00:49:55,080 --> 00:49:57,880
Speaker 1: of people. They're gonna be the people who got COVID

888
00:49:58,239 --> 00:50:01,839
Speaker 1: and and never got vaccinated, the people who got vaccinated

889
00:50:01,920 --> 00:50:04,320
Speaker 1: and then got COVID, and the people who got COVID

890
00:50:04,360 --> 00:50:07,080
Speaker 1: and then get vaccinated. What do all three of those

891
00:50:07,080 --> 00:50:09,400
Speaker 1: groups have in common? They all got COVID. It's the

892
00:50:09,440 --> 00:50:12,680
Speaker 1: only off ramp. Now I'm not you know, there may

893
00:50:12,680 --> 00:50:15,120
Speaker 1: be some people who are lucky enough not to get

894
00:50:15,160 --> 00:50:17,440
Speaker 1: it ever, but I think this is going to be

895
00:50:17,480 --> 00:50:21,080
Speaker 1: circulating among our population because they've shown that dogs can

896
00:50:21,120 --> 00:50:24,279
Speaker 1: get it. Of the white tailed deer they tested and

897
00:50:24,400 --> 00:50:28,400
Speaker 1: like Michigan and Pennsylvania had COVID and star c o

898
00:50:28,520 --> 00:50:33,279
Speaker 1: V two antibodies. Uh this there's almost no animal that

899
00:50:33,440 --> 00:50:38,319
Speaker 1: can't catch it. Even if you could the vaccine where effective,

900
00:50:38,440 --> 00:50:42,839
Speaker 1: it wouldn't stop the spread because eventually it would come

901
00:50:42,840 --> 00:50:46,200
Speaker 1: back from the animal population where their reservoirs of it. Well.

902
00:50:46,239 --> 00:50:48,160
Speaker 1: And that's why why my frustration has been in all

903
00:50:48,239 --> 00:50:51,680
Speaker 1: this of this vaccine, only this myopic approach, where we

904
00:50:51,719 --> 00:50:53,600
Speaker 1: should have been like all hands on deck, all of

905
00:50:53,640 --> 00:50:56,200
Speaker 1: the above, all the therapeutics, look and I ever mact

906
00:50:56,280 --> 00:50:59,319
Speaker 1: and look into hydroxic, hydroxic cleric and whether you know,

907
00:50:59,360 --> 00:51:02,160
Speaker 1: look into these things if they work or not, monoclonal antibodies,

908
00:51:02,200 --> 00:51:05,799
Speaker 1: look for other things, all therapeutics, all above approach because,

909
00:51:05,840 --> 00:51:07,680
Speaker 1: as you're saying, a virus does what a virus does,

910
00:51:07,719 --> 00:51:09,440
Speaker 1: and the government can't stop a virus, right like the

911
00:51:09,520 --> 00:51:11,960
Speaker 1: virus is going, it's going to go from a pandemic

912
00:51:12,000 --> 00:51:14,760
Speaker 1: to an endemic. It's probably gonna be with us for forever.

913
00:51:14,920 --> 00:51:18,080
Speaker 1: Everyone's eventually going to get it. Uh. You look at Sweden,

914
00:51:18,120 --> 00:51:20,400
Speaker 1: they took an opposite approach where they sort of realized

915
00:51:20,480 --> 00:51:22,759
Speaker 1: this of trying to obtain herd immunity of sort of

916
00:51:22,920 --> 00:51:24,480
Speaker 1: you know, letting it work. It's through the way. You

917
00:51:24,480 --> 00:51:25,640
Speaker 1: know that it's gonna have to you know, it's going

918
00:51:25,680 --> 00:51:28,080
Speaker 1: to go through the population eventually. And what I think

919
00:51:28,080 --> 00:51:29,800
Speaker 1: we should have been doing the entire time is figuring

920
00:51:29,800 --> 00:51:32,320
Speaker 1: out how do we protect all these people, uh, you know,

921
00:51:32,360 --> 00:51:35,680
Speaker 1: whether they're vaccinated or not, and just preventing death like

922
00:51:35,760 --> 00:51:38,080
Speaker 1: that that should have been the number one goal, and

923
00:51:38,080 --> 00:51:40,720
Speaker 1: instead it's like vaccine or else, or you're an evil person,

924
00:51:40,840 --> 00:51:42,640
Speaker 1: or you're not a patriot, or you don't love your

925
00:51:42,640 --> 00:51:45,359
Speaker 1: neighbors or or you're unkind or your this or that,

926
00:51:45,440 --> 00:51:48,240
Speaker 1: or you're a lesser person in society, and like creating

927
00:51:48,239 --> 00:51:51,640
Speaker 1: these weird two stears of society when it should have

928
00:51:51,680 --> 00:51:55,280
Speaker 1: just been about saving lives. There was a paper almost

929
00:51:55,320 --> 00:51:58,080
Speaker 1: a year ago. It came out in the Atlantic, actually,

930
00:51:58,360 --> 00:52:00,920
Speaker 1: and it was a survey of a lot of epideymeologists

931
00:52:00,719 --> 00:52:04,600
Speaker 1: and doctors, and they pointed out that the cold virus

932
00:52:04,960 --> 00:52:07,960
Speaker 1: is a coronavirus, and there are actually four or five

933
00:52:08,080 --> 00:52:12,279
Speaker 1: different versions of coronaviruses, and when you get them, it

934
00:52:12,320 --> 00:52:16,000
Speaker 1: causes a cold. Now, the point out in the article

935
00:52:16,040 --> 00:52:18,239
Speaker 1: the reason if you get it when you're eighty you

936
00:52:18,360 --> 00:52:20,640
Speaker 1: don't die is because you had it when you were

937
00:52:20,640 --> 00:52:25,560
Speaker 1: eight years old. And I was hopeful and still am.

938
00:52:25,719 --> 00:52:29,560
Speaker 1: That is what this becomes, is that once it's endemic,

939
00:52:29,719 --> 00:52:34,680
Speaker 1: it's basically the fifth or sixth coronavirus that circulates among

940
00:52:34,840 --> 00:52:37,680
Speaker 1: us and has for thousands of years. And when each

941
00:52:37,680 --> 00:52:43,759
Speaker 1: of those coronaviruses were introduced into the population, they were

942
00:52:43,760 --> 00:52:49,080
Speaker 1: probably pandemics, and then they became endemic because everybody gets

943
00:52:49,080 --> 00:52:52,799
Speaker 1: them when they're a kid. And my greatest fear is

944
00:52:52,880 --> 00:52:56,480
Speaker 1: if that is the case, that you know, this is

945
00:52:56,760 --> 00:53:00,600
Speaker 1: the next cold after And I'm not saying it's not now.

946
00:53:00,640 --> 00:53:03,120
Speaker 1: I'm not down playing it and saying it's not serious.

947
00:53:03,480 --> 00:53:06,680
Speaker 1: But what I'm saying is, once this has circulated and

948
00:53:06,760 --> 00:53:10,760
Speaker 1: become endemic, it's I'm hopeful that it's just a cold

949
00:53:10,840 --> 00:53:13,200
Speaker 1: for all of us if we catch it again. But

950
00:53:13,320 --> 00:53:16,719
Speaker 1: I'm worried that they go in and mandate this vaccine

951
00:53:16,719 --> 00:53:19,520
Speaker 1: for children when they don't really need it, and they

952
00:53:19,560 --> 00:53:23,719
Speaker 1: could acquire the natural immunity from infection when they're young,

953
00:53:23,880 --> 00:53:26,359
Speaker 1: when it won't hurt them, and that when they get

954
00:53:26,360 --> 00:53:29,680
Speaker 1: older that could protect them instead. You know, we might

955
00:53:29,719 --> 00:53:32,279
Speaker 1: be getting on this treadmill where kid has to take

956
00:53:32,320 --> 00:53:34,560
Speaker 1: it to go to school and then they have to

957
00:53:34,640 --> 00:53:37,600
Speaker 1: get a booster shot every six months, or they go

958
00:53:37,680 --> 00:53:40,360
Speaker 1: to the lunch table and it's in their milk or something.

959
00:53:40,560 --> 00:53:43,759
Speaker 1: I mean, there's a lot of dystopian outcomes that could

960
00:53:43,760 --> 00:53:47,160
Speaker 1: come from this if we don't switch gears and and

961
00:53:47,360 --> 00:53:50,640
Speaker 1: don't start admitting we're going to have to trust our natural,

962
00:53:50,880 --> 00:53:53,480
Speaker 1: natural immune systems at some point. Well, um, you know,

963
00:53:53,520 --> 00:53:55,279
Speaker 1: i'd love to have you back on the show to

964
00:53:55,320 --> 00:53:57,480
Speaker 1: talk about January six as well. I've got, you know,

965
00:53:57,480 --> 00:53:59,279
Speaker 1: a whole host of questions on that. And I know

966
00:53:59,400 --> 00:54:01,800
Speaker 1: you've also and one of the few people in Congress

967
00:54:01,840 --> 00:54:06,439
Speaker 1: fighting for transparency and honesty about what actually happened that day. Um,

968
00:54:06,520 --> 00:54:08,399
Speaker 1: I know you've got votes, so I want to be

969
00:54:08,760 --> 00:54:12,320
Speaker 1: respectful of your time. Absolutely. Well, the funny thing is, Lisa,

970
00:54:12,360 --> 00:54:14,600
Speaker 1: I don't think we're going to be voting on the

971
00:54:14,680 --> 00:54:19,440
Speaker 1: Big three trillion dollar bill today. I think the Democrats

972
00:54:19,480 --> 00:54:23,840
Speaker 1: made delay that, uh, given what happened in in Virginia.

973
00:54:24,040 --> 00:54:27,000
Speaker 1: So we're gonna have votes today. But and so we'll

974
00:54:27,040 --> 00:54:29,200
Speaker 1: have to go. But I'm looking forward to coming back

975
00:54:29,239 --> 00:54:31,359
Speaker 1: on your show. We've got so many things to cover

976
00:54:31,600 --> 00:54:35,279
Speaker 1: and I am so excited this Congress. I got on

977
00:54:35,360 --> 00:54:38,839
Speaker 1: the Judiciary Committee, you know, with Jim Jordan and Matt

978
00:54:38,880 --> 00:54:42,640
Speaker 1: Gates and Andy Biggs and Chip Roy and it is

979
00:54:43,080 --> 00:54:46,839
Speaker 1: it's just like a bar fight in there with the Democrats,

980
00:54:47,640 --> 00:54:52,200
Speaker 1: with Gerald Nadler at Corey Bush and you know, the

981
00:54:52,239 --> 00:54:56,760
Speaker 1: whole host of Eric Swalwell. It's it's a fun committee

982
00:54:56,760 --> 00:54:58,880
Speaker 1: to be on. We'll have lots of topics to cover,

983
00:54:59,120 --> 00:55:00,960
Speaker 1: and so I will will come back on as soon

984
00:55:01,000 --> 00:55:02,480
Speaker 1: as you'll have me. I would love that, and I

985
00:55:02,520 --> 00:55:05,600
Speaker 1: I so appreciate your honesty, and I so appreciate you

986
00:55:05,680 --> 00:55:08,080
Speaker 1: fighting for the truth and freedom in America. So I

987
00:55:08,080 --> 00:55:10,880
Speaker 1: will keep retweeting you, sir. I would love to have

988
00:55:10,920 --> 00:55:12,840
Speaker 1: you back on to to talk about these other topics

989
00:55:12,840 --> 00:55:16,800
Speaker 1: as well. Keep retweeting Sassy with Massy please yes, hashtag

990
00:55:16,880 --> 00:55:20,040
Speaker 1: Sassy with Massy. Of course, have a great day, sir,

991
00:55:20,200 --> 00:55:33,680
Speaker 1: Thank you so much. All right, I want to thank

992
00:55:33,760 --> 00:55:37,640
Speaker 1: Congressman Thomas Massey again for an awesome interview, and I

993
00:55:37,640 --> 00:55:39,600
Speaker 1: want to thank you guys at home for listening. If

994
00:55:39,600 --> 00:55:42,640
Speaker 1: you enjoyed today's show, please leave us a review, rate

995
00:55:42,719 --> 00:55:45,879
Speaker 1: us five stars on Apple Podcast. You can also find

996
00:55:45,920 --> 00:55:49,200
Speaker 1: me on Twitter, Facebook, and Instagram and at Lisa Marie Booth.

997
00:55:49,600 --> 00:55:52,600
Speaker 1: I want to thank your team producer John Cassio, researcher

998
00:55:52,600 --> 00:55:55,960
Speaker 1: and writer Aaron Kleegman, and our executive producers Debbie Myers

999
00:55:56,000 --> 00:55:58,680
Speaker 1: and speaker New Gingrich, all part of the Gingrich three

1000
00:55:58,680 --> 00:56:00,560
Speaker 1: sixty network and team al