1
00:00:00,240 --> 00:00:04,680
Speaker 1: From UFOs to psychic powers and government conspiracies. History is

2
00:00:04,760 --> 00:00:09,080
Speaker 1: riddled with unexplained events. You can turn back now or

3
00:00:09,200 --> 00:00:12,079
Speaker 1: learn the stuff they don't want you to know. A

4
00:00:12,200 --> 00:00:26,040
Speaker 1: production of I Heart Brady. Hello, welcome back to the show.

5
00:00:26,200 --> 00:00:28,840
Speaker 1: My name is Matt, my name is all they called

6
00:00:28,840 --> 00:00:31,840
Speaker 1: me Ben. We're joined as always with our super producer

7
00:00:31,920 --> 00:00:36,040
Speaker 1: Paul Mission controlled deconds. Most importantly, you are you. You

8
00:00:36,080 --> 00:00:39,720
Speaker 1: are here, and that makes this stuff they don't want

9
00:00:39,800 --> 00:00:43,080
Speaker 1: you to know coming to you again, live, direct and

10
00:00:43,159 --> 00:00:46,640
Speaker 1: full effect, in the midst of a global pandemic that

11
00:00:46,760 --> 00:00:50,159
Speaker 1: hasn't been seen since the beginning of the nineteen hundreds.

12
00:00:50,680 --> 00:00:55,040
Speaker 1: This is our third episode on the coronavirus pandemic, and

13
00:00:55,200 --> 00:00:58,640
Speaker 1: you know, as we said in earlier episodes, just like

14
00:00:58,680 --> 00:01:01,560
Speaker 1: when we're covering Epstein, this is an ongoing event. It's

15
00:01:01,640 --> 00:01:04,320
Speaker 1: one that we, like everybody else out there in the world,

16
00:01:04,319 --> 00:01:07,759
Speaker 1: are keeping a close eye on. And in our previous episode,

17
00:01:07,840 --> 00:01:10,720
Speaker 1: towards the end, I'd mentioned we weren't able to get

18
00:01:10,800 --> 00:01:14,720
Speaker 1: to all the conspiracy theories about COVID nineteen. In a

19
00:01:14,840 --> 00:01:18,800
Speaker 1: move that should surprise no one, these conspiracies are still

20
00:01:18,840 --> 00:01:23,240
Speaker 1: around there. In fact, they're even more but Let's start,

21
00:01:23,280 --> 00:01:26,600
Speaker 1: as always with the facts, because there are some much

22
00:01:26,720 --> 00:01:29,320
Speaker 1: needed updates we want you to be aware of. So

23
00:01:29,560 --> 00:01:31,720
Speaker 1: here are the facts. Yeah, I think it'd be smart

24
00:01:31,760 --> 00:01:33,959
Speaker 1: to take a look at the global state of COVID

25
00:01:34,080 --> 00:01:37,160
Speaker 1: nineteen UM. At this point, we have a confirmed death

26
00:01:37,240 --> 00:01:41,040
Speaker 1: toll UH due to the coronavirus that's approaching one hundred

27
00:01:41,080 --> 00:01:46,200
Speaker 1: thousand worldwide UM. And as COVID nineteen is detected in India,

28
00:01:46,400 --> 00:01:50,800
Speaker 1: the Ivory Coast, Brazil, and and more, the fears begin

29
00:01:50,920 --> 00:01:55,200
Speaker 1: to grow that the infection could um ravage particularly densely

30
00:01:55,280 --> 00:02:00,880
Speaker 1: populated UM lower income areas, neighborhoods, slums, many of which

31
00:02:00,920 --> 00:02:04,800
Speaker 1: don't have clean running water or access to medical care um,

32
00:02:04,880 --> 00:02:07,240
Speaker 1: let alone equipment that the rest of the country is

33
00:02:07,240 --> 00:02:10,280
Speaker 1: obviously lacking and is in very short supply, like ventilators,

34
00:02:10,600 --> 00:02:14,800
Speaker 1: well yeah, in personal protective equipment, just something as simple

35
00:02:14,800 --> 00:02:18,839
Speaker 1: as masks and gloves, things to protect healthcare workers. It's

36
00:02:18,880 --> 00:02:22,919
Speaker 1: it's crazy even around here, like my pharmacy, they're sold

37
00:02:22,919 --> 00:02:25,480
Speaker 1: out of gloves and masks. You can't really buy them.

38
00:02:25,480 --> 00:02:28,559
Speaker 1: And I've seen so many people making these cloth masks.

39
00:02:28,600 --> 00:02:31,880
Speaker 1: And the CDC just put out an infographic showing the

40
00:02:31,919 --> 00:02:36,639
Speaker 1: protection level against certain you know materials, of course, first

41
00:02:36,680 --> 00:02:41,160
Speaker 1: and foremost being um viruses, and those cloth masks are

42
00:02:41,160 --> 00:02:46,680
Speaker 1: apparently zero percent effective in protecting you against the virus. Well,

43
00:02:46,680 --> 00:02:48,880
Speaker 1: it's it's also the function of the cloth mask is

44
00:02:48,919 --> 00:02:52,720
Speaker 1: that it protects other people totally. No, And I see

45
00:02:52,760 --> 00:02:54,760
Speaker 1: that's that's that's very important. But I think there's maybe

46
00:02:54,800 --> 00:02:58,560
Speaker 1: a misconception in some folks that those are apples to

47
00:02:58,560 --> 00:03:02,840
Speaker 1: apples um to those much more medical grade surgical masks

48
00:03:02,919 --> 00:03:05,760
Speaker 1: and the ones that are used in industrial situations that

49
00:03:05,800 --> 00:03:08,000
Speaker 1: have the little filter on the front. Well, we've we've

50
00:03:08,040 --> 00:03:12,480
Speaker 1: had people writing in and calling us who are healthcare workers,

51
00:03:12,760 --> 00:03:15,960
Speaker 1: are people working in this industry to try and you know,

52
00:03:16,480 --> 00:03:19,000
Speaker 1: stop this thing and help people who are dealing with

53
00:03:19,040 --> 00:03:23,080
Speaker 1: COVID nineteen and there. They have mentioned to us that

54
00:03:23,760 --> 00:03:27,160
Speaker 1: the you know, imagine like what they're doing. Imagine going

55
00:03:27,200 --> 00:03:31,600
Speaker 1: to work every day exposing yourself to people that have

56
00:03:31,600 --> 00:03:34,839
Speaker 1: have been infected, you know, are infected. You have tested them,

57
00:03:34,960 --> 00:03:37,800
Speaker 1: you know they're infected, and you don't have the proper

58
00:03:37,840 --> 00:03:41,360
Speaker 1: equipment like you're talking about there, You've just got something

59
00:03:41,400 --> 00:03:46,760
Speaker 1: you created, like uh handkerchief over your face, you know, um,

60
00:03:46,800 --> 00:03:49,080
Speaker 1: just pulling your shirt up in order to protect yourself

61
00:03:49,360 --> 00:03:52,840
Speaker 1: like that. That is mind boggling to me that that

62
00:03:52,880 --> 00:03:57,080
Speaker 1: could happen anywhere in the world today in well, and

63
00:03:57,280 --> 00:04:00,400
Speaker 1: a really spooky thing that's been happening is the federal

64
00:04:00,480 --> 00:04:06,040
Speaker 1: government has been quietly, uh, commandeering medical supplies and diverting

65
00:04:06,200 --> 00:04:11,360
Speaker 1: orders of medical supplies placed by hospitals, um and quietly

66
00:04:12,840 --> 00:04:16,360
Speaker 1: Well yeah exactly, but it's unclear what they're doing with it, right,

67
00:04:16,560 --> 00:04:19,200
Speaker 1: because I mean, you know that that really becomes the

68
00:04:19,240 --> 00:04:21,920
Speaker 1: feeling of living in a police day where you know,

69
00:04:22,200 --> 00:04:24,920
Speaker 1: regular rules don't apply anymore, and who needs these things

70
00:04:24,960 --> 00:04:27,600
Speaker 1: more than hospitals? And what is the government actually doing

71
00:04:27,600 --> 00:04:30,400
Speaker 1: with them? Where's the accountability? In the same way, you

72
00:04:30,440 --> 00:04:32,839
Speaker 1: have to wonder what the accountability is on this kind

73
00:04:32,880 --> 00:04:35,360
Speaker 1: of you know, bailout package where so much money is

74
00:04:35,560 --> 00:04:38,640
Speaker 1: being diverted to corporations and uh and far less than

75
00:04:38,640 --> 00:04:41,760
Speaker 1: than maybe we would like being diverted to individuals. I

76
00:04:41,800 --> 00:04:46,440
Speaker 1: have some pretty choice things to say about that as

77
00:04:46,480 --> 00:04:50,920
Speaker 1: we get towards the conspiratorial side of today's show. Uh.

78
00:04:50,960 --> 00:04:53,680
Speaker 1: In the meantime, I would like to recommend a show

79
00:04:53,800 --> 00:04:56,680
Speaker 1: called It Could Happen Here. It's a pure podcast of

80
00:04:56,680 --> 00:04:59,880
Speaker 1: ours by h guy named Robert Evans. I'd love that

81
00:05:00,120 --> 00:05:02,880
Speaker 1: him on the show too at a later date. Please

82
00:05:03,040 --> 00:05:05,760
Speaker 1: getting a thumbs up from Maddie Fred there. But you

83
00:05:05,760 --> 00:05:10,520
Speaker 1: guys are absolutely right. You're right. And before we go

84
00:05:10,560 --> 00:05:13,520
Speaker 1: into the US, let's explore the world a little bit more.

85
00:05:13,880 --> 00:05:16,400
Speaker 1: That's something everybody wants to do while we're in quarantine.

86
00:05:16,520 --> 00:05:21,240
Speaker 1: Right multiple companies are declaring bankruptcy already. Over the first

87
00:05:21,279 --> 00:05:25,160
Speaker 1: two months of more than two hundred and forty thousand

88
00:05:25,240 --> 00:05:29,040
Speaker 1: companies in China alone went belly up. As a matter

89
00:05:29,080 --> 00:05:32,080
Speaker 1: of fact, right now, we mentioned the UK Prime Minister

90
00:05:32,240 --> 00:05:35,680
Speaker 1: Boris Johnson, after bragging about how he loved to go

91
00:05:35,760 --> 00:05:38,920
Speaker 1: to hospitals and shake hands, he came down with COVID nineteen.

92
00:05:39,240 --> 00:05:42,560
Speaker 1: He was in I c U Uh. He is on

93
00:05:42,600 --> 00:05:46,520
Speaker 1: the mend according to the official government statements. But the

94
00:05:46,600 --> 00:05:51,040
Speaker 1: doctor who tried to warn him to practice social distancing. Uh,

95
00:05:51,080 --> 00:05:55,880
Speaker 1: that guy contracted COVID nineteen and died. To your point, matt, Um,

96
00:05:55,960 --> 00:05:59,680
Speaker 1: you can see these harrowing videos of medical professionals on

97
00:05:59,720 --> 00:06:02,320
Speaker 1: the lines. Um. I'll send you, guys one of a

98
00:06:02,360 --> 00:06:07,240
Speaker 1: guy who's showing his suit up process and it's it's insane,

99
00:06:07,279 --> 00:06:11,440
Speaker 1: even sped up. It takes forever um and we know

100
00:06:11,560 --> 00:06:15,640
Speaker 1: that people are fighting against it. China recently in news

101
00:06:15,760 --> 00:06:19,800
Speaker 1: that a lot of racists have mischaracterized. China recently instituted

102
00:06:19,880 --> 00:06:22,920
Speaker 1: bands on the consumption of wildlife, and some cities like

103
00:06:23,040 --> 00:06:28,080
Speaker 1: shin Xin are explicitly banning the consumption of animals that

104
00:06:28,120 --> 00:06:31,480
Speaker 1: are considered pets. So you know, racists are hopping on

105
00:06:31,640 --> 00:06:34,440
Speaker 1: saying like, oh, China is eating cats and dogs. But

106
00:06:34,600 --> 00:06:38,159
Speaker 1: to be clear, I think we mentioned this before on

107
00:06:38,240 --> 00:06:43,240
Speaker 1: some show. Most people in China not only don't eat dog,

108
00:06:43,400 --> 00:06:46,040
Speaker 1: but have never eaten it and never ever want to.

109
00:06:46,760 --> 00:06:50,520
Speaker 1: But wet markets are the real problem, not consumption of pets. Yeah,

110
00:06:50,520 --> 00:06:54,320
Speaker 1: we talked about these wet markets where animals are kept

111
00:06:54,760 --> 00:06:57,680
Speaker 1: in pretty close proximity to each other than they are

112
00:06:57,800 --> 00:07:01,440
Speaker 1: live generally, and then they are slaughter on site and

113
00:07:01,480 --> 00:07:04,920
Speaker 1: then taken as meat. We noted that this was one

114
00:07:04,960 --> 00:07:07,760
Speaker 1: of the possible origin points for the for you know,

115
00:07:07,800 --> 00:07:12,120
Speaker 1: all kinds of diseases that have occurred across time since

116
00:07:12,200 --> 00:07:15,080
Speaker 1: these things have you been around and you think about

117
00:07:15,080 --> 00:07:18,640
Speaker 1: the history of wet markets, They've been around longer than

118
00:07:18,680 --> 00:07:23,160
Speaker 1: most social constructs that exist. You know for humans, um,

119
00:07:23,200 --> 00:07:25,800
Speaker 1: but they're thought to be the origin place or possibly

120
00:07:25,840 --> 00:07:29,520
Speaker 1: the orangin origin place of the COVID nineteen uh, well

121
00:07:29,680 --> 00:07:35,480
Speaker 1: the coronavirus and the COVID nineteen affliction and stars there

122
00:07:35,520 --> 00:07:38,840
Speaker 1: was a pangling call. I mean, it's it's clear, you know,

123
00:07:38,880 --> 00:07:42,520
Speaker 1: when we say thought to be, we're we're being pretty diplomatic.

124
00:07:42,960 --> 00:07:46,360
Speaker 1: It's it's pretty much thought to be unless you think, uh,

125
00:07:46,440 --> 00:07:52,320
Speaker 1: it was created in that nearby lab. Uh. The worst

126
00:07:52,320 --> 00:07:54,920
Speaker 1: part of about the wet markets is that it's plausible,

127
00:07:54,960 --> 00:07:58,720
Speaker 1: if the practice is not ended, that another pandemic could

128
00:07:58,760 --> 00:08:02,840
Speaker 1: arise from these locations, because you know, as as we

129
00:08:02,960 --> 00:08:05,720
Speaker 1: established in your previous episode, this is not the first

130
00:08:05,760 --> 00:08:10,120
Speaker 1: time that a market like this has produced uh, a

131
00:08:10,240 --> 00:08:14,360
Speaker 1: lethal infection. And now the world as a whole. I'm

132
00:08:14,400 --> 00:08:16,680
Speaker 1: sure we're we've all heard this. We're in this together.

133
00:08:16,760 --> 00:08:19,440
Speaker 1: The world is a whole. We have a theoretical path

134
00:08:19,560 --> 00:08:22,520
Speaker 1: to reducing the scale of the infection, but there's currently

135
00:08:22,560 --> 00:08:26,320
Speaker 1: no vaccine, there is no cure, and perhaps most troubling,

136
00:08:26,560 --> 00:08:30,160
Speaker 1: there's no real estimate on what will happen next because

137
00:08:30,160 --> 00:08:33,320
Speaker 1: there are so many factors at play. There's so many

138
00:08:33,360 --> 00:08:35,800
Speaker 1: things we can do to make this worse or to

139
00:08:35,880 --> 00:08:38,360
Speaker 1: make it better, and just to reiterate something that we

140
00:08:38,360 --> 00:08:40,880
Speaker 1: talked about. I believe even in the first episode. These

141
00:08:40,880 --> 00:08:44,920
Speaker 1: are zoo anotic diseases, which means that they are transmissible

142
00:08:45,679 --> 00:08:49,400
Speaker 1: between species or between you know, from animals to humans,

143
00:08:49,600 --> 00:08:52,640
Speaker 1: and that is what makes it particularly virulent and and scary.

144
00:08:53,120 --> 00:08:55,559
Speaker 1: And we even heard a story recently about a tiger

145
00:08:55,600 --> 00:08:58,880
Speaker 1: I believe is it at the Bronx Zoo UM that

146
00:08:58,880 --> 00:09:02,960
Speaker 1: that was found to have COVID and they're actually monitoring

147
00:09:03,000 --> 00:09:05,800
Speaker 1: this tiger and you know, testing the tiger. I thought

148
00:09:05,840 --> 00:09:09,200
Speaker 1: that was really interesting, especially considering UM how the Tiger

149
00:09:09,320 --> 00:09:12,240
Speaker 1: King Netflix series has caught fire, that we're living in

150
00:09:12,280 --> 00:09:14,640
Speaker 1: a time of COVID and tigers. Well yeah, I mean

151
00:09:14,720 --> 00:09:19,320
Speaker 1: just think how strange that is. The small amount of

152
00:09:19,559 --> 00:09:22,800
Speaker 1: human interaction that that tiger has with a very specific

153
00:09:22,880 --> 00:09:25,320
Speaker 1: number of people, and one of those people just happened

154
00:09:25,679 --> 00:09:28,320
Speaker 1: to be carrying it. That's the only way that tiger

155
00:09:28,360 --> 00:09:32,120
Speaker 1: gets coronavirus, right right. It was a get a report

156
00:09:32,160 --> 00:09:38,240
Speaker 1: on this um episode UH Strange Newsdaily a few days ago.

157
00:09:38,679 --> 00:09:42,679
Speaker 1: It's it was multiple tigers by one zookeeper. The tigers

158
00:09:42,800 --> 00:09:47,040
Speaker 1: are UH fans, big cats will will be happy to

159
00:09:47,120 --> 00:09:50,240
Speaker 1: learn the tigers are okay. As a matter of fact,

160
00:09:50,360 --> 00:09:53,840
Speaker 1: the tigers, I hate to say it, but the tigers

161
00:09:53,880 --> 00:09:56,480
Speaker 1: are getting better medical care than a lot of human

162
00:09:56,559 --> 00:10:00,120
Speaker 1: residents of New York City, and that's something that critics

163
00:10:00,440 --> 00:10:03,560
Speaker 1: are quick to point out. Um. But also, you know,

164
00:10:03,679 --> 00:10:07,760
Speaker 1: tigers are an endangered species, and there then those tigers

165
00:10:07,800 --> 00:10:11,040
Speaker 1: specifically are living in much closer quarters than a tiger

166
00:10:11,120 --> 00:10:14,560
Speaker 1: should ever ever should. There are also more tigers in

167
00:10:14,600 --> 00:10:17,000
Speaker 1: captivity that they're all in the wild. Tigers are like

168
00:10:17,040 --> 00:10:19,760
Speaker 1: my favorite animal. Can we do an episode of tigers

169
00:10:19,840 --> 00:10:23,280
Speaker 1: or octopus? I look, I'm getting distracted. You're right though,

170
00:10:23,760 --> 00:10:26,160
Speaker 1: You're right. It's it's coming out. And the zootic thing

171
00:10:26,200 --> 00:10:29,640
Speaker 1: is really important. Point no, old because I think fifteen

172
00:10:29,720 --> 00:10:33,400
Speaker 1: percent of cats that were tested for COVID in Wuhan

173
00:10:33,920 --> 00:10:38,240
Speaker 1: uh tested positive. Uh. We don't. We don't think that

174
00:10:38,520 --> 00:10:42,480
Speaker 1: this is a situation where a tiger or a house

175
00:10:42,520 --> 00:10:45,839
Speaker 1: cat could get COVID and transmitted to a human. But

176
00:10:45,920 --> 00:10:49,720
Speaker 1: we know that humans can transmit it to cats. So

177
00:10:49,760 --> 00:10:52,959
Speaker 1: if you feel like you are immuno compromised, you're getting

178
00:10:53,000 --> 00:10:55,520
Speaker 1: the signs and you can't get tested or something. Just

179
00:10:55,960 --> 00:10:59,520
Speaker 1: be mindful of how you interact with your pets, uh,

180
00:10:59,600 --> 00:11:02,720
Speaker 1: because uh, you know, the last thing you want is

181
00:11:02,760 --> 00:11:07,720
Speaker 1: an emergency vet visit. Right. So we're we're talking about

182
00:11:07,760 --> 00:11:10,600
Speaker 1: the world. There's some good news, there's some bad news.

183
00:11:10,800 --> 00:11:13,959
Speaker 1: We're at we're at a crossroads, were at a decision point.

184
00:11:14,440 --> 00:11:18,040
Speaker 1: And unfortunately, if you are listening to this show in

185
00:11:18,080 --> 00:11:20,360
Speaker 1: the US, or if you like us, are making this

186
00:11:20,400 --> 00:11:24,320
Speaker 1: show in the US, we have some pretty some some

187
00:11:24,360 --> 00:11:29,160
Speaker 1: pretty sobering things to report. As we record today April ten,

188
00:11:29,880 --> 00:11:33,840
Speaker 1: New York has reported its highest daily death count. The

189
00:11:33,880 --> 00:11:37,640
Speaker 1: positive lining there is that hospitalizations are down in general.

190
00:11:37,840 --> 00:11:42,080
Speaker 1: But get this, According to the latest figures, New York

191
00:11:42,160 --> 00:11:48,760
Speaker 1: State now has more coronavirus cases than any single country

192
00:11:48,840 --> 00:11:52,600
Speaker 1: outside of the United States, more than Italy, right, more

193
00:11:52,679 --> 00:11:56,280
Speaker 1: than more than China, more than well, China's numbers are

194
00:11:56,280 --> 00:12:00,920
Speaker 1: a little little sketchy. But but the New York the

195
00:12:01,000 --> 00:12:06,040
Speaker 1: state alone has more coronavirus cases confirmed than any other country.

196
00:12:06,080 --> 00:12:08,760
Speaker 1: They're like a hundred and ninety seven countries. Yeah, but

197
00:12:10,559 --> 00:12:13,160
Speaker 1: we have we have to keep in mind here these numbers,

198
00:12:13,200 --> 00:12:16,280
Speaker 1: any numbers you're mentioning. China's numbers are a little fishy.

199
00:12:16,360 --> 00:12:19,520
Speaker 1: There any numbers for any country, any state in the

200
00:12:19,600 --> 00:12:22,600
Speaker 1: US are gonna be off because of the lack of

201
00:12:22,600 --> 00:12:25,240
Speaker 1: testing or the limited amount of testing that we can do.

202
00:12:25,360 --> 00:12:28,520
Speaker 1: Also the lagin reporting. I mean, we're seeing numbers that

203
00:12:28,559 --> 00:12:31,760
Speaker 1: are already two weeks old, you know, so as like

204
00:12:31,800 --> 00:12:35,160
Speaker 1: as we see a number, it's probably you know, guaranteed

205
00:12:35,480 --> 00:12:39,400
Speaker 1: higher than that by uh not an insignificant amount because

206
00:12:39,440 --> 00:12:41,360
Speaker 1: of the fact that there's a lag in reporting. But

207
00:12:41,440 --> 00:12:44,000
Speaker 1: according to the official numbers out of New York, the

208
00:12:44,080 --> 00:12:47,800
Speaker 1: confirmed caseload of COVID nineteen jumped by ten thousand cases

209
00:12:48,160 --> 00:12:51,840
Speaker 1: in one day this past Thursday, that's yesterday as we're

210
00:12:51,840 --> 00:12:55,040
Speaker 1: recording this, and it jumped to one hundred and fifty

211
00:12:55,120 --> 00:12:58,400
Speaker 1: nine thousand, nine hundred and thirty seven, putting it ahead

212
00:12:58,440 --> 00:13:02,680
Speaker 1: of Spain, which will one hundred and fifty three thousand cases,

213
00:13:02,920 --> 00:13:06,280
Speaker 1: and then Italy, which was the number that everybody was

214
00:13:06,400 --> 00:13:10,199
Speaker 1: trying to avoid early on, which is one hundred and

215
00:13:10,240 --> 00:13:15,920
Speaker 1: forty three thousand as of today, Yep, YEP, and UH. China,

216
00:13:16,160 --> 00:13:18,920
Speaker 1: where of course the virus was confirmed to emerge from

217
00:13:18,920 --> 00:13:22,440
Speaker 1: those most likely from those wet markets last year, has

218
00:13:23,080 --> 00:13:26,960
Speaker 1: only reported a d two thousand cases. Now I don't

219
00:13:26,960 --> 00:13:29,160
Speaker 1: mean to sound callous when I say only a D

220
00:13:29,280 --> 00:13:33,319
Speaker 1: two thousand. I just want to emphasize again that there

221
00:13:33,360 --> 00:13:39,160
Speaker 1: are some serious and troubling questions about their methodology and

222
00:13:39,200 --> 00:13:42,360
Speaker 1: how they define a case the same way with how

223
00:13:42,400 --> 00:13:46,960
Speaker 1: a coronavirus death is defined. Right. Um, And you know

224
00:13:47,040 --> 00:13:50,400
Speaker 1: this is familiar to anybody who has recently tried to

225
00:13:50,440 --> 00:13:53,040
Speaker 1: get testing, because for a while, in a lot, in

226
00:13:53,080 --> 00:13:54,680
Speaker 1: a lot of the U s, there were some pretty

227
00:13:54,720 --> 00:13:58,600
Speaker 1: strict requirements to get testing. There were even some strict

228
00:13:58,640 --> 00:14:02,160
Speaker 1: requirements to get type different types of assistance. You had

229
00:14:02,200 --> 00:14:05,520
Speaker 1: to prove that you had COVID. And Uh, now the

230
00:14:05,640 --> 00:14:11,600
Speaker 1: US has recorded four hundred sixty cases. Uh, we're getting

231
00:14:11,720 --> 00:14:15,640
Speaker 1: closer to sixteen five hundred deaths that number. We may

232
00:14:15,720 --> 00:14:18,920
Speaker 1: surpass that number. Honestly, by the time this episode comes out.

233
00:14:19,480 --> 00:14:23,160
Speaker 1: Globally we're looking at one point six million cases. And

234
00:14:24,160 --> 00:14:28,000
Speaker 1: the same day that we recorded our earlier episode COVID

235
00:14:28,040 --> 00:14:31,120
Speaker 1: to Rise of the Pandemic. That same day the United

236
00:14:31,160 --> 00:14:35,720
Speaker 1: States Senate approved a stimulus package that was worth more

237
00:14:35,760 --> 00:14:40,120
Speaker 1: than two trillion dollars, making it the largest deal of

238
00:14:40,160 --> 00:14:43,760
Speaker 1: its kind in modern US history. And if you live

239
00:14:43,800 --> 00:14:46,560
Speaker 1: in this country, you know that the economy is still

240
00:14:46,800 --> 00:14:51,720
Speaker 1: going straight into the garbage. Why what what's happening? We'll

241
00:14:51,760 --> 00:15:00,880
Speaker 1: tell you after a word from our sponsor, and we're back.

242
00:15:01,040 --> 00:15:06,800
Speaker 1: So this stimulus package, First off, no one really, Let's

243
00:15:06,800 --> 00:15:09,560
Speaker 1: be honest, folks, no one really has a grasp of

244
00:15:09,600 --> 00:15:13,480
Speaker 1: how much one billion dollars is uh, not even uh

245
00:15:13,640 --> 00:15:18,560
Speaker 1: doctor evil in Austin powers. We we clearly have no

246
00:15:18,720 --> 00:15:24,400
Speaker 1: understanding what to trillion dollars really means. This. This package

247
00:15:24,440 --> 00:15:28,160
Speaker 1: is supposed to, or was supposed to help the country

248
00:15:28,160 --> 00:15:30,840
Speaker 1: and the people who live here respond to this coronavirus

249
00:15:30,880 --> 00:15:35,920
Speaker 1: pandemic by providing direct payments right uh two people and

250
00:15:36,040 --> 00:15:40,040
Speaker 1: jobless benefits, and then also giving money to states, and

251
00:15:40,080 --> 00:15:45,360
Speaker 1: then of course a gigantic, a leviathan size bailout fund

252
00:15:45,520 --> 00:15:49,360
Speaker 1: for various businesses. Uh. And I'm not saying that any

253
00:15:49,400 --> 00:15:52,280
Speaker 1: of those things are bad. You know, on paper, they're

254
00:15:52,320 --> 00:15:54,720
Speaker 1: they're very good. And a lot of people hearing this

255
00:15:55,080 --> 00:15:59,480
Speaker 1: have just struggled to figure out rent for April, you

256
00:15:59,520 --> 00:16:03,240
Speaker 1: know what I mean. These this is serious and the

257
00:16:03,320 --> 00:16:06,720
Speaker 1: problem here is that this bill is more than twice

258
00:16:06,800 --> 00:16:10,800
Speaker 1: the size. Yeah, it's more than twice the size of

259
00:16:11,440 --> 00:16:14,960
Speaker 1: a similar package that Congress passed back in two thousand

260
00:16:15,040 --> 00:16:17,800
Speaker 1: and nine during the days of the Great Recession, that

261
00:16:17,880 --> 00:16:22,040
Speaker 1: was eight hundred billion dollars. And uh, despite the size

262
00:16:22,040 --> 00:16:25,400
Speaker 1: of this two trillion dollar thing and all the corruption

263
00:16:25,640 --> 00:16:29,440
Speaker 1: and lack of oversight that's going into it, uh, economists

264
00:16:29,520 --> 00:16:32,560
Speaker 1: are are saying this might only get us a few

265
00:16:32,560 --> 00:16:35,840
Speaker 1: months down the road, because again, we don't know how

266
00:16:35,840 --> 00:16:39,400
Speaker 1: long this is going to go. Well, yeah, even if

267
00:16:39,480 --> 00:16:41,640
Speaker 1: a month, I mean maybe a month, that's probably what

268
00:16:41,680 --> 00:16:43,920
Speaker 1: you can get because you're talking about rent therapin which

269
00:16:44,080 --> 00:16:47,080
Speaker 1: generally is paid on a monthly basis, and the the

270
00:16:47,120 --> 00:16:50,400
Speaker 1: actual amount that's going out to the individual, you know,

271
00:16:51,120 --> 00:16:53,440
Speaker 1: we will probably take care of that and a little

272
00:16:53,440 --> 00:16:58,240
Speaker 1: extra you know, some food hopefully um or any necessities.

273
00:16:58,280 --> 00:17:00,600
Speaker 1: But yeah, that's that's all you're to get out of

274
00:17:00,600 --> 00:17:05,000
Speaker 1: that two trillion dollars per person. Really, the only hope

275
00:17:05,080 --> 00:17:08,040
Speaker 1: is that the injection of money for some of the

276
00:17:08,080 --> 00:17:10,679
Speaker 1: states you know that ends up going to businesses in

277
00:17:10,720 --> 00:17:16,040
Speaker 1: the perfect world, um, would actually help something. Because man,

278
00:17:16,520 --> 00:17:21,640
Speaker 1: right now, more than sixteen million Americans have lost their jobs.

279
00:17:22,760 --> 00:17:27,119
Speaker 1: Unemployment may well be the second epidemic that we're facing

280
00:17:27,160 --> 00:17:30,400
Speaker 1: here is in this country, at least and again that

281
00:17:30,480 --> 00:17:34,400
Speaker 1: situation is going to be true across the world because

282
00:17:34,600 --> 00:17:37,600
Speaker 1: of the nature of having to stay apart from one

283
00:17:37,600 --> 00:17:41,400
Speaker 1: another and stay home. Small businesses are just getting hammered

284
00:17:41,520 --> 00:17:44,840
Speaker 1: right now. Absolutely. Uh. You know, we have a lot

285
00:17:44,880 --> 00:17:48,960
Speaker 1: of we have a lot of people who are fighting

286
00:17:49,000 --> 00:17:51,480
Speaker 1: to keep a job we have. We have a lot

287
00:17:51,520 --> 00:17:54,399
Speaker 1: of small business owners. Some of our fellow listeners are

288
00:17:54,400 --> 00:17:58,600
Speaker 1: small business owners who are doing innovative things just to

289
00:17:58,680 --> 00:18:02,160
Speaker 1: try to keep the lights on. For for a lighter

290
00:18:02,359 --> 00:18:05,360
Speaker 1: note on this, I would add, for instance, uh, you'll

291
00:18:05,480 --> 00:18:09,480
Speaker 1: you'll hear all these stories about people doing very creative,

292
00:18:09,560 --> 00:18:13,680
Speaker 1: unorthodox things like restaurants staying in business by only doing

293
00:18:13,720 --> 00:18:18,200
Speaker 1: curbside take out or no contact delivery. Um. One example

294
00:18:18,280 --> 00:18:21,280
Speaker 1: that's a little bit body, uh, if you'll excuse the

295
00:18:21,320 --> 00:18:26,640
Speaker 1: craft nous, is something called buber Eats out in Oregon. Uh,

296
00:18:26,680 --> 00:18:29,680
Speaker 1: there was there's a strip club called the Lucky Devil Lounge.

297
00:18:30,080 --> 00:18:33,119
Speaker 1: And you know, these adult dance clubs shut down just

298
00:18:33,200 --> 00:18:35,919
Speaker 1: like a restaurant or something. And so to keep his

299
00:18:35,960 --> 00:18:39,680
Speaker 1: employees working, the guy who owns the I think his

300
00:18:39,760 --> 00:18:42,600
Speaker 1: name is Sean Bowden. The the guy who owns the

301
00:18:42,640 --> 00:18:47,160
Speaker 1: place started like an uber eats thing where they would

302
00:18:47,200 --> 00:18:51,400
Speaker 1: have dancers come deliver food to people. Uh and and

303
00:18:51,640 --> 00:18:54,119
Speaker 1: he started it as a joke, but people took him

304
00:18:54,200 --> 00:18:56,240
Speaker 1: up on it because they wanted to support the business.

305
00:18:56,520 --> 00:18:58,920
Speaker 1: So people are finding ways around it. But those are

306
00:18:59,080 --> 00:19:02,200
Speaker 1: very very small, all sparks of light in a very

307
00:19:02,280 --> 00:19:06,119
Speaker 1: very dark landscape. And I agree with you, Matt, absolutely,

308
00:19:06,160 --> 00:19:09,119
Speaker 1: ben and and uh Matt to your point about small businesses,

309
00:19:09,560 --> 00:19:12,639
Speaker 1: um and and to the point we mentioned earlier in

310
00:19:12,680 --> 00:19:17,560
Speaker 1: the episode about this two trillion dollar coronavirus relief package. UM,

311
00:19:17,640 --> 00:19:21,480
Speaker 1: there's an author um and uh a research director at

312
00:19:21,520 --> 00:19:25,000
Speaker 1: the American Economic Liberties Projects by the name of Matt Staller,

313
00:19:25,400 --> 00:19:30,200
Speaker 1: who wrote a column for The Guardian UM basically talking

314
00:19:30,200 --> 00:19:33,440
Speaker 1: about how the coronavirus relief bill, because of the lack

315
00:19:33,480 --> 00:19:38,439
Speaker 1: of oversight, UM, it could potentially become a corporate coup

316
00:19:38,840 --> 00:19:42,679
Speaker 1: if if, if the government isn't careful, because um, you know,

317
00:19:42,760 --> 00:19:45,959
Speaker 1: with all of these small businesses failing, we could potentially

318
00:19:46,000 --> 00:19:48,480
Speaker 1: to his his the point that he makes is emerge

319
00:19:48,720 --> 00:19:52,920
Speaker 1: with just like you know, some sort of crazy um

320
00:19:53,560 --> 00:19:57,120
Speaker 1: monopoly or bigger than that oligarchy. I don't know where

321
00:19:57,160 --> 00:20:00,720
Speaker 1: there's just like maybe five or six corporations control all

322
00:20:00,760 --> 00:20:04,080
Speaker 1: of the goods and services for the entire world. Yeah,

323
00:20:04,280 --> 00:20:07,280
Speaker 1: similar to um, well, I don't know about the entire world,

324
00:20:07,280 --> 00:20:11,160
Speaker 1: but um, it's similar to what they call a chibowl,

325
00:20:11,280 --> 00:20:16,120
Speaker 1: a chabol in uh South Korea, like this conglomerate that

326
00:20:16,280 --> 00:20:21,719
Speaker 1: runs everything, you know. Uh. And we're we are looking

327
00:20:21,840 --> 00:20:26,000
Speaker 1: at something that that could be well, very bad for

328
00:20:26,040 --> 00:20:28,199
Speaker 1: the average person. But yeah, you're you're right and all

329
00:20:28,240 --> 00:20:32,160
Speaker 1: there we were running the risk of a huge consolidation

330
00:20:32,640 --> 00:20:37,880
Speaker 1: and not necessarily um, some something that is a good

331
00:20:37,880 --> 00:20:41,119
Speaker 1: thing overall. I mean, they're they're also think about this,

332
00:20:41,200 --> 00:20:45,280
Speaker 1: like the politics business. Their fingers on a hand, you

333
00:20:45,280 --> 00:20:47,320
Speaker 1: know what I mean, As as different as they may

334
00:20:47,400 --> 00:20:50,200
Speaker 1: try to appear, Uh, they are fingers on a hand.

335
00:20:50,240 --> 00:20:53,960
Speaker 1: And it doesn't matter what sort of political ideology you

336
00:20:54,080 --> 00:20:57,679
Speaker 1: ascribe to. Um. They're at least here in the U

337
00:20:57,760 --> 00:21:02,320
Speaker 1: s they're both supported by big business. This and there

338
00:21:02,320 --> 00:21:06,560
Speaker 1: are also clear and present concerns that this pandemic may

339
00:21:06,720 --> 00:21:12,680
Speaker 1: interfere with the upcoming presidential election here in November in

340
00:21:12,720 --> 00:21:16,080
Speaker 1: the US, I mean primaries. So we have a lot

341
00:21:16,119 --> 00:21:17,919
Speaker 1: of we have a lot of listeners who have written

342
00:21:17,920 --> 00:21:21,360
Speaker 1: into us through one platform or another. Who have basically

343
00:21:21,400 --> 00:21:24,480
Speaker 1: asked us what the hell is going on with the

344
00:21:24,560 --> 00:21:28,480
Speaker 1: voting system in the US. And it is like complicated

345
00:21:28,520 --> 00:21:31,560
Speaker 1: partially by design, um, But so we have these things

346
00:21:31,600 --> 00:21:35,040
Speaker 1: called primaries. Again, this goes for it doesn't matter what

347
00:21:35,119 --> 00:21:37,760
Speaker 1: political party you vote for. If you want to vote, uh,

348
00:21:37,800 --> 00:21:40,919
Speaker 1: you you do a thing called a primary where you

349
00:21:41,080 --> 00:21:43,239
Speaker 1: kind of like, if you're a Republican or if you're

350
00:21:43,280 --> 00:21:46,200
Speaker 1: a Democrat. Uh, there are going to be multiple people

351
00:21:46,200 --> 00:21:48,720
Speaker 1: who want to be the Republican or Democratic candidate or

352
00:21:48,720 --> 00:21:51,720
Speaker 1: what have you. So before you actually vote November, you

353
00:21:51,800 --> 00:21:54,560
Speaker 1: go do to this other voting thing where you vote

354
00:21:54,600 --> 00:21:58,240
Speaker 1: between like, uh, there are five Democrat candidates, you vote

355
00:21:58,240 --> 00:21:59,920
Speaker 1: for the one you like, or there five or pub

356
00:22:00,040 --> 00:22:02,720
Speaker 1: looking candidates to vote for the one you like. And

357
00:22:03,840 --> 00:22:08,040
Speaker 1: this is already getting pushed off, Like a ton of

358
00:22:08,119 --> 00:22:11,280
Speaker 1: states haven't been able to vote in these primaries and

359
00:22:11,320 --> 00:22:14,280
Speaker 1: they were supposed to. So what does that mean for November?

360
00:22:14,359 --> 00:22:17,720
Speaker 1: It's it's scary. Yeah. The only good thing is that

361
00:22:19,400 --> 00:22:23,520
Speaker 1: largely across the US you're seeing an increase in you know,

362
00:22:23,600 --> 00:22:27,560
Speaker 1: applications for absentee ballots being sent out. I know, I

363
00:22:27,800 --> 00:22:31,199
Speaker 1: here in Atlanta, I just received one. Um which is

364
00:22:31,240 --> 00:22:33,440
Speaker 1: which is a good thing. I generally don't get them,

365
00:22:33,440 --> 00:22:35,080
Speaker 1: and it was just sent. It wasn't like I had

366
00:22:35,080 --> 00:22:37,919
Speaker 1: to request it. Hopefully, you know, that will continue to

367
00:22:37,960 --> 00:22:43,000
Speaker 1: occur where we can hopefully make the whole democracy thing happen.

368
00:22:43,359 --> 00:22:47,520
Speaker 1: And you know, we've talked about the problems with democracy

369
00:22:47,600 --> 00:22:50,000
Speaker 1: before and the way it's run, especially if you have

370
00:22:50,040 --> 00:22:53,159
Speaker 1: a two party system, a two party plus or a

371
00:22:53,160 --> 00:22:57,199
Speaker 1: two point one party system. Let's say, uh, if you

372
00:22:57,240 --> 00:23:00,400
Speaker 1: add in the independence there. But you know, and that's

373
00:23:00,400 --> 00:23:04,000
Speaker 1: gonna affect us. But the real, the real impact, and

374
00:23:04,040 --> 00:23:07,399
Speaker 1: the scary thing for me is that you know, we

375
00:23:07,480 --> 00:23:09,840
Speaker 1: talked we're talking about the sixteen million Americans that have

376
00:23:09,880 --> 00:23:13,720
Speaker 1: lost their jobs, right and you know that has an

377
00:23:13,720 --> 00:23:17,840
Speaker 1: impact on the individual but also an entire family for

378
00:23:17,880 --> 00:23:23,040
Speaker 1: each one of those people. Um. And the scary thing

379
00:23:23,480 --> 00:23:28,560
Speaker 1: is that that number ramped up to sixteen million over

380
00:23:28,600 --> 00:23:32,439
Speaker 1: the course of three weeks. And when you compare that

381
00:23:32,520 --> 00:23:35,080
Speaker 1: to what happened in two thousand and eight, two thousand

382
00:23:35,359 --> 00:23:37,640
Speaker 1: you know, well the end of two thousand seven all

383
00:23:37,680 --> 00:23:42,600
Speaker 1: the way into two thousand nine. Um, that that fifteen

384
00:23:42,640 --> 00:23:46,640
Speaker 1: million job loss that occurred back then took eighteen months

385
00:23:46,920 --> 00:23:50,719
Speaker 1: to reach that level. And we've only just begun this

386
00:23:50,840 --> 00:23:54,720
Speaker 1: thing and we're already seeing jobs hemorrhaging like that. And

387
00:23:54,840 --> 00:23:58,879
Speaker 1: when you say a job, it means rent and food

388
00:23:59,440 --> 00:24:03,520
Speaker 1: and you know everything, clothing, shelter, everything that's needed for

389
00:24:03,880 --> 00:24:07,200
Speaker 1: entire families, each one of those. Yeah. Yeah, And when

390
00:24:07,400 --> 00:24:10,200
Speaker 1: one important well said one one important point, I'd add

391
00:24:10,640 --> 00:24:13,320
Speaker 1: this is gonna sound unusual to a lot of people

392
00:24:13,320 --> 00:24:16,479
Speaker 1: outside of the United States. Uh, if you lose your

393
00:24:16,560 --> 00:24:19,320
Speaker 1: job here, that often means you lose access to medical

394
00:24:19,359 --> 00:24:23,879
Speaker 1: care almost always. Yeah, because of the way insurance works

395
00:24:23,880 --> 00:24:28,400
Speaker 1: in this country. You're you're right, this, this level of

396
00:24:28,440 --> 00:24:33,119
Speaker 1: growth is dangerous and things are very much no matter

397
00:24:33,160 --> 00:24:36,479
Speaker 1: what we do for for the near future, things are

398
00:24:36,480 --> 00:24:39,720
Speaker 1: set to get worse before they improve. Even if the

399
00:24:39,760 --> 00:24:43,520
Speaker 1: pandemic is wiped out, um the you know, sooner than

400
00:24:43,560 --> 00:24:46,520
Speaker 1: we think. Uh, there, they are still going to be

401
00:24:47,800 --> 00:24:53,359
Speaker 1: a lot of enormous problems. To the Knowle's point about corporations, Matt,

402
00:24:53,400 --> 00:24:56,480
Speaker 1: to your point about recovering this, this is not a

403
00:24:56,480 --> 00:25:01,320
Speaker 1: bounce back situation, you know. And and on the corporate point,

404
00:25:02,560 --> 00:25:06,120
Speaker 1: while there are tons of industries that are faltering, there

405
00:25:06,160 --> 00:25:09,680
Speaker 1: are a few, very few that are skyrocketing. Hedge funds

406
00:25:09,720 --> 00:25:12,919
Speaker 1: are making a killing. And we were talking about this.

407
00:25:13,040 --> 00:25:16,440
Speaker 1: I think, um, off air, we were talking about this. Uh.

408
00:25:16,480 --> 00:25:19,440
Speaker 1: Price scalaging is insane. You know. You think of toilet paper,

409
00:25:19,520 --> 00:25:22,960
Speaker 1: you think of a hand sanitizer and and ppe and

410
00:25:23,000 --> 00:25:27,520
Speaker 1: stuff like that, personal protective equipment. Uh. But Nintendo switches,

411
00:25:28,040 --> 00:25:32,000
Speaker 1: It's it's bizarre. Nintendo switches are going through the roof.

412
00:25:32,600 --> 00:25:36,000
Speaker 1: Exercise equipment, uh is going through the roof. I mean

413
00:25:36,640 --> 00:25:40,360
Speaker 1: someone right now, maybe someone listening to the show has

414
00:25:40,400 --> 00:25:45,160
Speaker 1: a side hustle or full time hustle, Uh, scalping Nintendo

415
00:25:45,320 --> 00:25:49,240
Speaker 1: switches and selling them for exorbitant amounts. And if shoot,

416
00:25:49,720 --> 00:25:53,680
Speaker 1: or scalping toilet paper and paper towels. Think about the

417
00:25:53,720 --> 00:25:58,080
Speaker 1: big paper in the heyday they're having right now. My god,

418
00:25:58,600 --> 00:26:03,600
Speaker 1: Ambidet companies, we called that a while back, I think.

419
00:26:04,600 --> 00:26:09,280
Speaker 1: But uh, but but something else is proliferating. And that's

420
00:26:09,280 --> 00:26:15,600
Speaker 1: something else is is conspiratorial thought. Um. Now, you know

421
00:26:15,720 --> 00:26:18,800
Speaker 1: some of this is some of this is a product

422
00:26:18,800 --> 00:26:22,480
Speaker 1: of fear and searching for answers, which is what humans do. Uh.

423
00:26:22,560 --> 00:26:26,679
Speaker 1: Some of it is a product of the truth, the

424
00:26:26,800 --> 00:26:29,360
Speaker 1: actual stuff that a lot of politicians and a lot

425
00:26:29,359 --> 00:26:32,760
Speaker 1: of mainstream media don't want you to know. Some of

426
00:26:32,800 --> 00:26:35,679
Speaker 1: these things sound crazy and they are, and some of

427
00:26:35,720 --> 00:26:39,240
Speaker 1: them sound crazy and they're real. After this break, we'll

428
00:26:39,280 --> 00:26:41,119
Speaker 1: get to a few that we didn't cover in our

429
00:26:41,200 --> 00:26:50,240
Speaker 1: last episode, as well as some brand new ones. Here's

430
00:26:50,280 --> 00:26:54,000
Speaker 1: where it gets crazy. Let's talk a little bit about UM.

431
00:26:54,160 --> 00:26:58,120
Speaker 1: The religious angle or some allegations pertaining to to religion

432
00:26:58,600 --> 00:27:02,719
Speaker 1: surrounding the coronavirus. They're few distinct religious aspects that are

433
00:27:02,760 --> 00:27:07,040
Speaker 1: coming to ahead right now in the days of corona UM. First,

434
00:27:07,320 --> 00:27:10,800
Speaker 1: some apocalyptic sects believe that it's a sign of the

435
00:27:10,920 --> 00:27:13,679
Speaker 1: end of the world. UM. Doesn't seem like too much

436
00:27:13,760 --> 00:27:16,800
Speaker 1: of a stretch to me, even not being a fundamentalist

437
00:27:17,119 --> 00:27:20,560
Speaker 1: UM religious person UM or there is it's some kind

438
00:27:20,600 --> 00:27:26,040
Speaker 1: of UM fundamental shift in our civilization. Second, some either

439
00:27:27,000 --> 00:27:33,400
Speaker 1: you know, unscrupulous or particularly deluded religious figures have started,

440
00:27:33,440 --> 00:27:38,720
Speaker 1: like many politicians UM talking about unproven UM and quite

441
00:27:38,840 --> 00:27:44,720
Speaker 1: expensive cures. Jim Baker, for example, UM for was recently

442
00:27:45,160 --> 00:27:48,880
Speaker 1: selling something he was calling Silver Solution UH that he

443
00:27:48,960 --> 00:27:53,360
Speaker 1: claims was created by God himself. He is in cahoots

444
00:27:53,400 --> 00:27:56,440
Speaker 1: with a woman named Cheryl Sealman and they have been

445
00:27:56,520 --> 00:28:02,640
Speaker 1: selling his massive viewership, UM like on this stuff like

446
00:28:02,680 --> 00:28:04,920
Speaker 1: it can you know, with the expectation that it can

447
00:28:04,920 --> 00:28:10,920
Speaker 1: cure coronavirus in just twelve hours, Um, it can't. And

448
00:28:10,920 --> 00:28:14,560
Speaker 1: and and the US Food and Drug Administration UH told

449
00:28:14,680 --> 00:28:19,040
Speaker 1: him to stop marketing this uh, this snake oil UM

450
00:28:19,080 --> 00:28:22,040
Speaker 1: as a cure for coronavirus. And and of course that's

451
00:28:22,080 --> 00:28:24,040
Speaker 1: not the only one. I mean in the same wait

452
00:28:24,119 --> 00:28:27,640
Speaker 1: wait wait wait wait wait wait, Jim Baker, you can

453
00:28:28,040 --> 00:28:31,000
Speaker 1: from this man. You can also purchase all of the

454
00:28:31,040 --> 00:28:34,440
Speaker 1: buckets of food you've you'd ever want to have. We're

455
00:28:34,480 --> 00:28:39,480
Speaker 1: talking burritos for two months, We're talking rice and chicken

456
00:28:39,600 --> 00:28:42,640
Speaker 1: dinners for like two years, just in buckets that you

457
00:28:42,680 --> 00:28:44,920
Speaker 1: can keep in your house if you will. And it's blessed.

458
00:28:44,960 --> 00:28:47,120
Speaker 1: I think you can get some of it blessed. Look,

459
00:28:47,560 --> 00:28:50,400
Speaker 1: you know, we're not we want to be very clear,

460
00:28:50,440 --> 00:28:54,640
Speaker 1: we're not UM denigrading religion at all, but we are

461
00:28:54,760 --> 00:29:02,000
Speaker 1: denigrading UH televangelists, especially those that you classify as prosperity

462
00:29:02,080 --> 00:29:06,760
Speaker 1: theology practitioners like Kreflo Dollar, who still is my my

463
00:29:06,840 --> 00:29:10,120
Speaker 1: favorite to love slash hate. But you're right, well there

464
00:29:10,960 --> 00:29:13,280
Speaker 1: that kind of business and for these guys, it is

465
00:29:13,280 --> 00:29:16,320
Speaker 1: a business. That kind of business is booming. There's a

466
00:29:16,320 --> 00:29:20,880
Speaker 1: guy named Kenneth Copeland out in Texas. He went to

467
00:29:20,920 --> 00:29:24,520
Speaker 1: the White House two years ago eighteen and had dinner

468
00:29:24,600 --> 00:29:27,040
Speaker 1: with uh, like for this dinner where a bunch of

469
00:29:27,040 --> 00:29:32,040
Speaker 1: other evangelical leaders got together, and he says that he

470
00:29:32,280 --> 00:29:36,200
Speaker 1: has a coronavirus cure that he can transmit through your

471
00:29:36,240 --> 00:29:39,520
Speaker 1: television screen. Remember all those old tropes, Oh, we're on camera,

472
00:29:39,600 --> 00:29:41,400
Speaker 1: so you do it now where it's like put your

473
00:29:41,480 --> 00:29:46,600
Speaker 1: hands against the against the screen, feel the energy and say,

474
00:29:46,680 --> 00:29:50,440
Speaker 1: you know, by the power. Uh, it's like that kind

475
00:29:50,440 --> 00:29:53,720
Speaker 1: of thing. On his Victory channel on March twelfth, he

476
00:29:53,800 --> 00:29:57,240
Speaker 1: claimed that he would be able to heal coronavirus infected

477
00:29:57,320 --> 00:30:01,160
Speaker 1: viewers who touched their TVs. Say, put your hand on

478
00:30:01,160 --> 00:30:05,640
Speaker 1: that television set. Hallelujah, Thank you Lord Jesus. He received

479
00:30:05,680 --> 00:30:08,440
Speaker 1: your healing as long as they wash their hands like

480
00:30:08,520 --> 00:30:12,560
Speaker 1: before and after. I think I'm okay with it. But

481
00:30:12,600 --> 00:30:16,800
Speaker 1: I think what we're pointing to here, which is really unsettling. Um,

482
00:30:16,840 --> 00:30:23,640
Speaker 1: these are these are businesses that can successfully take fear,

483
00:30:24,280 --> 00:30:27,120
Speaker 1: the fear that you feel, the anxiety that you feel

484
00:30:27,160 --> 00:30:31,960
Speaker 1: about this situation and translate it, turn it and spin

485
00:30:32,040 --> 00:30:36,080
Speaker 1: it into gold. It's very rumple, still skinnesque, and uh,

486
00:30:36,120 --> 00:30:39,400
Speaker 1: it's disturbing I think in general, but in a time

487
00:30:39,440 --> 00:30:45,480
Speaker 1: like this, it feels, at least to me personally, particularly vile. Yeah.

488
00:30:45,520 --> 00:30:49,360
Speaker 1: I mean these in the same way that um, you know, uh,

489
00:30:49,880 --> 00:30:53,600
Speaker 1: phone fishing scams are on the rise, you know, to

490
00:30:53,680 --> 00:30:56,240
Speaker 1: kind of take advantage of older people that are maybe

491
00:30:56,360 --> 00:30:59,200
Speaker 1: scared and and and living by themselves and willing to

492
00:30:59,240 --> 00:31:02,040
Speaker 1: give up their person information. In times of crisis, those

493
00:31:02,040 --> 00:31:05,760
Speaker 1: things always flourish, you know, or and thrive, and you

494
00:31:05,800 --> 00:31:09,200
Speaker 1: really have to be vigilant to keep your loved ones

495
00:31:09,280 --> 00:31:12,440
Speaker 1: who might be susceptible to this kind of stuff from

496
00:31:12,480 --> 00:31:15,400
Speaker 1: from you know, biting. But here's the only other thing

497
00:31:15,480 --> 00:31:20,240
Speaker 1: is that I have to add here. I currently cannot

498
00:31:20,360 --> 00:31:28,360
Speaker 1: prove that there is something to putting out energy in

499
00:31:28,400 --> 00:31:31,480
Speaker 1: the way that let's say Copeland is saying that he's

500
00:31:31,520 --> 00:31:36,640
Speaker 1: going to put out energy. I'm extremely skeptical of it,

501
00:31:36,880 --> 00:31:39,640
Speaker 1: to the point where I do not believe it unless

502
00:31:39,640 --> 00:31:43,520
Speaker 1: it has proven to me. However, I cannot disprove that

503
00:31:43,600 --> 00:31:48,240
Speaker 1: there is something to that kind of connection, even if

504
00:31:48,280 --> 00:31:51,640
Speaker 1: it's through a television Yeah. Yeah, and that's I mean

505
00:31:51,680 --> 00:31:55,320
Speaker 1: that that is fair. We also know that we also

506
00:31:55,360 --> 00:31:58,200
Speaker 1: know that the placebo effect is a real and powerful

507
00:31:58,280 --> 00:32:02,360
Speaker 1: thing to some degree. Uh. And and you know if

508
00:32:02,400 --> 00:32:06,560
Speaker 1: if uh someone making these claims, if they personally believe it,

509
00:32:06,840 --> 00:32:10,280
Speaker 1: then if they believe what they're selling, then it's kind

510
00:32:10,320 --> 00:32:14,200
Speaker 1: of like Merlin in Mark Twain's a Connecticut Yankee and

511
00:32:14,280 --> 00:32:18,880
Speaker 1: King Arthur's Court. We can't we can't call them liars. Uh.

512
00:32:19,120 --> 00:32:22,280
Speaker 1: We can say that maybe that practice is not as effective,

513
00:32:22,520 --> 00:32:27,080
Speaker 1: or maybe it's ineffective, but if they're not actually harming people,

514
00:32:27,480 --> 00:32:30,000
Speaker 1: then it's it's their choice to do as they will.

515
00:32:30,280 --> 00:32:33,520
Speaker 1: The problem here is that they could be harming people,

516
00:32:33,560 --> 00:32:36,000
Speaker 1: at least in the cases we outlined, and and this

517
00:32:36,080 --> 00:32:39,440
Speaker 1: idea though still what's interesting here by way of segue,

518
00:32:39,800 --> 00:32:44,640
Speaker 1: is that the difference here is that they're not purposefully

519
00:32:44,760 --> 00:32:47,280
Speaker 1: hurting people. In fact, they may believe that they are

520
00:32:47,320 --> 00:32:53,320
Speaker 1: helping people. However, there's another conspiracy theory that says this, uh,

521
00:32:53,400 --> 00:32:59,440
Speaker 1: this disease, this infection is purposely designed to target certain

522
00:32:59,480 --> 00:33:03,920
Speaker 1: demograph fix or to injure uh certain people. Right. It's

523
00:33:04,000 --> 00:33:06,880
Speaker 1: it's a population control or it's a weapon of war.

524
00:33:07,440 --> 00:33:11,560
Speaker 1: This this is quite a popular theory. In Iran. UH

525
00:33:11,600 --> 00:33:17,200
Speaker 1: the Supreme Leader Ayatollah Ali Kamani has refused American assistance

526
00:33:17,360 --> 00:33:20,760
Speaker 1: to fight the new coronavirus and said that it could

527
00:33:20,760 --> 00:33:25,600
Speaker 1: be man made by the US government. UM. And really

528
00:33:26,040 --> 00:33:30,760
Speaker 1: that's a little misleading because the issue is that the

529
00:33:30,840 --> 00:33:33,760
Speaker 1: US offered a certain kind of help and look, COVID

530
00:33:33,920 --> 00:33:36,880
Speaker 1: is out of control in Iran. UH, the U s

531
00:33:37,040 --> 00:33:40,000
Speaker 1: A offered a certain kind of help, and UH Iran

532
00:33:40,160 --> 00:33:43,719
Speaker 1: had requested another kind. They said, you know, lift the sanctions,

533
00:33:44,720 --> 00:33:47,800
Speaker 1: because you know, the sanctions that have been placed on

534
00:33:47,960 --> 00:33:51,719
Speaker 1: Iran and Cuba as well have interfered with the transport

535
00:33:51,760 --> 00:33:56,800
Speaker 1: of of medical equipment and assistance. People are literally dying. UM. Others,

536
00:33:56,840 --> 00:34:00,760
Speaker 1: of course, as always accused Israel of manufact exturing the weapon,

537
00:34:01,240 --> 00:34:06,000
Speaker 1: or obviously they accused China of creating the weapon. At

538
00:34:06,040 --> 00:34:09,320
Speaker 1: this point, it's kind of like the conspiracy theories about

539
00:34:09,840 --> 00:34:14,200
Speaker 1: HIV as a weapon. It's it's just such a um,

540
00:34:14,280 --> 00:34:17,120
Speaker 1: it's just such a dumb thing. If you were designing

541
00:34:17,120 --> 00:34:19,719
Speaker 1: a weapon, they're better ones to design and and this

542
00:34:20,000 --> 00:34:23,560
Speaker 1: is surprising that this is still proliferating out there. We

543
00:34:23,640 --> 00:34:25,440
Speaker 1: talked about this in the past. It's still there, it's

544
00:34:25,480 --> 00:34:28,080
Speaker 1: gaining grounds. I just want to add here, I I

545
00:34:28,120 --> 00:34:30,040
Speaker 1: agree with you, Ben, I just want to add here

546
00:34:30,120 --> 00:34:34,759
Speaker 1: that when you're thinking about Iran because of coronavirus, maybe

547
00:34:34,760 --> 00:34:39,359
Speaker 1: we've kind of forgotten, but we are actively engaged in

548
00:34:40,040 --> 00:34:44,279
Speaker 1: maybe not a proxy war, but but there are um,

549
00:34:44,480 --> 00:34:48,360
Speaker 1: actual firefights, actual hot conflicts that are occurring in Iraq

550
00:34:48,520 --> 00:34:53,919
Speaker 1: between US forces and uh um Irani. It's Iran back

551
00:34:53,960 --> 00:34:57,920
Speaker 1: to militias. I believe that we're the targets by the US. Yeah,

552
00:34:57,960 --> 00:35:01,959
Speaker 1: so it's it. I mean, that's still happening, and that's

553
00:35:01,960 --> 00:35:07,280
Speaker 1: been happening that kind of um but behind closed doors

554
00:35:07,320 --> 00:35:10,160
Speaker 1: battling has been happening for so long between Iran and

555
00:35:10,200 --> 00:35:13,640
Speaker 1: the US. Uh. You know, just trying to add that

556
00:35:13,719 --> 00:35:16,439
Speaker 1: other side there, like the reason why maybe community doesn't

557
00:35:16,440 --> 00:35:19,320
Speaker 1: want assist it from America in any way, and also

558
00:35:19,440 --> 00:35:21,080
Speaker 1: just due to all the things that we've outlined in

559
00:35:21,120 --> 00:35:26,759
Speaker 1: the past about that the relationship between the two countries. Yeah, yeah, absolutely,

560
00:35:26,920 --> 00:35:30,480
Speaker 1: I mean it's unfortunately it's a very old story, right

561
00:35:30,560 --> 00:35:34,640
Speaker 1: and this is just another another um chapter in a

562
00:35:34,719 --> 00:35:38,480
Speaker 1: disturbing book. So we've outlined a couple of problems, but

563
00:35:38,680 --> 00:35:43,160
Speaker 1: we we want to give you a we want to

564
00:35:43,200 --> 00:35:46,239
Speaker 1: solve something for you, and we think we've done it. Uh,

565
00:35:46,280 --> 00:35:49,759
Speaker 1: we have new revelations. We have found the truth or

566
00:35:49,800 --> 00:35:51,799
Speaker 1: we're on the way of finding the truth about one

567
00:35:51,800 --> 00:35:55,920
Speaker 1: of the most popular recent conspiracy theories related to COVID nineteen,

568
00:35:56,239 --> 00:36:01,399
Speaker 1: the idea that five G technology is is responsible for

569
00:36:01,440 --> 00:36:05,520
Speaker 1: the virus, or responsible for what's being perceived as a virus.

570
00:36:05,600 --> 00:36:08,959
Speaker 1: We've mentioned this earlier, but there's more to the story. Yeah,

571
00:36:08,960 --> 00:36:12,080
Speaker 1: it's true. I'm just a few days ago there were

572
00:36:12,120 --> 00:36:15,400
Speaker 1: at least three attacks on cell phone towers in the

573
00:36:15,520 --> 00:36:19,600
Speaker 1: UK and in Ireland that authorities believe were related to

574
00:36:19,840 --> 00:36:24,600
Speaker 1: the five G coronavirus conspiracy theory. But there is proof

575
00:36:24,680 --> 00:36:28,160
Speaker 1: that a conspiracy of some kind really does exist here.

576
00:36:28,560 --> 00:36:31,359
Speaker 1: Maybe not the one that that we've been hearing about,

577
00:36:31,440 --> 00:36:35,319
Speaker 1: or that that conspiracy theorists would prefer that we uh

578
00:36:35,480 --> 00:36:38,800
Speaker 1: we think about. UM. A person named Mark Owens Jones,

579
00:36:38,840 --> 00:36:42,880
Speaker 1: who's a researcher at Hamad Ben Khalifa University and Qatar

580
00:36:43,080 --> 00:36:48,480
Speaker 1: specializing in online disinformation networks, analyzed twenty two thousand recent

581
00:36:48,480 --> 00:36:52,560
Speaker 1: interactions on Twitter mentioning five G and Corona, as as

582
00:36:52,600 --> 00:36:55,520
Speaker 1: this as the search terms and said that he found

583
00:36:55,600 --> 00:37:01,520
Speaker 1: a large number of accounts displaying quote inauthentic activity, so

584
00:37:01,719 --> 00:37:05,680
Speaker 1: like bought type accounts I imagine, um. He said the

585
00:37:05,719 --> 00:37:10,480
Speaker 1: effort bears some of the hallmarks of a state backed campaign. Um.

586
00:37:10,560 --> 00:37:13,600
Speaker 1: He noted quote there are very strong indications that some

587
00:37:13,719 --> 00:37:18,160
Speaker 1: of these accounts are a disinformation operation, and went on

588
00:37:18,200 --> 00:37:20,799
Speaker 1: to say that the campaign used a strategy similar to

589
00:37:20,920 --> 00:37:25,960
Speaker 1: Russia's Internet Research agency, which was behind the disinformation campaign

590
00:37:26,200 --> 00:37:30,759
Speaker 1: during the US presidential campaign. The reason that the term

591
00:37:30,840 --> 00:37:34,359
Speaker 1: Russian bots has become such a hot hot button thing

592
00:37:34,480 --> 00:37:37,800
Speaker 1: to throw around. UM. So, while Jones has an explicitly

593
00:37:37,840 --> 00:37:41,279
Speaker 1: linked this campaign to a specific state, he he does

594
00:37:41,400 --> 00:37:47,040
Speaker 1: note that there are pretty extraordinary similarities. Yeah. Yeah. In short,

595
00:37:47,440 --> 00:37:51,120
Speaker 1: the spread of the five G conspiracy theory is itself

596
00:37:51,280 --> 00:37:55,360
Speaker 1: a conspiracy. Um, just a backtrack real quick, Uh, and

597
00:37:55,520 --> 00:38:03,000
Speaker 1: be clear, Uh, the the five G concept is um

598
00:38:03,239 --> 00:38:06,400
Speaker 1: is something that existed before and it's just now being

599
00:38:06,400 --> 00:38:12,360
Speaker 1: tied with coronavirus. But people were concerned about the possible

600
00:38:12,360 --> 00:38:17,759
Speaker 1: health impacts of five G beforehand, uh and right now. Honestly, Uh,

601
00:38:17,960 --> 00:38:20,080
Speaker 1: not to be alarmist about it, but it is a

602
00:38:20,080 --> 00:38:24,200
Speaker 1: new technology, which means there are no longitudinal studies about

603
00:38:24,280 --> 00:38:28,719
Speaker 1: the h the possible long term risk. Do it right now?

604
00:38:28,760 --> 00:38:31,799
Speaker 1: It seems safe? Uh, it definitely doesn't seem like it

605
00:38:31,840 --> 00:38:36,520
Speaker 1: creates virus or viral like infections. Well, and you only

606
00:38:36,600 --> 00:38:40,759
Speaker 1: you only have to go back to October in Scientific

607
00:38:40,800 --> 00:38:44,359
Speaker 1: American and other places to see that there is some

608
00:38:44,440 --> 00:38:47,000
Speaker 1: research coming out about five G that it is potentially

609
00:38:47,120 --> 00:38:50,960
Speaker 1: dangerous the amount of radiation that people will be exposed to.

610
00:38:51,280 --> 00:38:54,200
Speaker 1: That doesn't mean it has anything to do with coronavirus.

611
00:38:54,360 --> 00:38:56,080
Speaker 1: It makes me ask and and just to to to

612
00:38:56,400 --> 00:38:58,560
Speaker 1: go off topic, just ever so slightly. How does this

613
00:38:58,560 --> 00:39:02,120
Speaker 1: stuff get pushed through so quickly without you know, if

614
00:39:02,160 --> 00:39:04,480
Speaker 1: there are these concerns and if there is even some

615
00:39:04,520 --> 00:39:07,960
Speaker 1: research already showing that this level of radiation is dangerous,

616
00:39:08,000 --> 00:39:09,840
Speaker 1: Like how how how are we as a country just

617
00:39:09,920 --> 00:39:12,480
Speaker 1: fully on board with five G? It just seems like

618
00:39:12,480 --> 00:39:16,000
Speaker 1: an example of like commerce being put in front of

619
00:39:16,080 --> 00:39:18,680
Speaker 1: the general well being of of people. Well, I mean,

620
00:39:18,680 --> 00:39:20,759
Speaker 1: if you go to like the New York Times or

621
00:39:20,840 --> 00:39:24,960
Speaker 1: Wired right now, you know around that same time December

622
00:39:25,560 --> 00:39:28,240
Speaker 1: and part of the summer of last year or twenty nineteen,

623
00:39:28,600 --> 00:39:31,960
Speaker 1: everyone is doing their best too to say no, look,

624
00:39:32,000 --> 00:39:34,759
Speaker 1: there's no actual harm that's going to be caused by

625
00:39:34,840 --> 00:39:36,719
Speaker 1: you know, using your phone or having a five G

626
00:39:36,880 --> 00:39:40,560
Speaker 1: device with you, or having five G transmitters near your

627
00:39:40,600 --> 00:39:43,400
Speaker 1: home or anything like that. And to a large extent,

628
00:39:43,480 --> 00:39:46,600
Speaker 1: it's it's true. It's just one of those things that

629
00:39:46,800 --> 00:39:49,200
Speaker 1: does need to be studied more. And I think I

630
00:39:49,239 --> 00:39:51,800
Speaker 1: see what you're saying there and all, like, it feels

631
00:39:51,800 --> 00:39:54,840
Speaker 1: like a necessity to push this through in order to

632
00:39:54,960 --> 00:39:58,160
Speaker 1: enhance our interconnectivity and the amount of stuff we are

633
00:39:58,239 --> 00:40:02,000
Speaker 1: doing online right now. Just as a an individual, Yeah,

634
00:40:02,080 --> 00:40:04,840
Speaker 1: it's needed. But you know, I like your point about

635
00:40:05,719 --> 00:40:07,880
Speaker 1: doing the things you want to do or need to

636
00:40:07,880 --> 00:40:11,480
Speaker 1: do as an individual. Part of the reason this stuff happens,

637
00:40:11,520 --> 00:40:15,120
Speaker 1: and part of the reason UH, political and corporate opportunists

638
00:40:15,200 --> 00:40:20,120
Speaker 1: are are taking they are buying the farm right buying

639
00:40:20,120 --> 00:40:22,719
Speaker 1: the ground out from under you right now, is because

640
00:40:23,239 --> 00:40:27,840
Speaker 1: we have as individuals a dearth of time. We have

641
00:40:28,040 --> 00:40:32,320
Speaker 1: so little time to invest in hunting down and finding

642
00:40:32,360 --> 00:40:36,680
Speaker 1: these things that matter. Yes, there are regulatory bodies right UM,

643
00:40:36,719 --> 00:40:41,480
Speaker 1: but they are there. There are things that you have

644
00:40:41,600 --> 00:40:46,600
Speaker 1: to go look for. Right The FCC, for instance, UM,

645
00:40:46,840 --> 00:40:51,920
Speaker 1: doesn't doesn't go public and blast out across broadcast channels

646
00:40:52,480 --> 00:40:55,799
Speaker 1: any any policy, every policy decision they make, you have

647
00:40:55,880 --> 00:40:58,400
Speaker 1: to look for it right. And it's the same with

648
00:40:58,480 --> 00:41:03,279
Speaker 1: these kind of approvals. The onus of the activity is

649
00:41:03,520 --> 00:41:06,120
Speaker 1: on you as the individual. Is that the way it

650
00:41:06,120 --> 00:41:11,200
Speaker 1: should be? Probably not? Are things getting past that the

651
00:41:11,239 --> 00:41:15,480
Speaker 1: average person would object to? Yeah? Probably? Uh, but that

652
00:41:15,640 --> 00:41:17,480
Speaker 1: is the way it is right now. That doesn't make

653
00:41:17,520 --> 00:41:21,040
Speaker 1: it right, but that's that's what's happening. That's how these

654
00:41:21,080 --> 00:41:23,600
Speaker 1: sorts of things can can continue. If you want to

655
00:41:23,640 --> 00:41:26,920
Speaker 1: learn more about bots, check out the excellent episode we

656
00:41:26,960 --> 00:41:29,359
Speaker 1: did with Joe McCormick from Stuff to Blow your Mind

657
00:41:29,760 --> 00:41:34,520
Speaker 1: about Russian bots. The only thing left, the only piece

658
00:41:34,560 --> 00:41:37,960
Speaker 1: of the puzzle here on the five G conspiracy is

659
00:41:38,120 --> 00:41:41,880
Speaker 1: figuring out who is controlling the bots. You know, Uh,

660
00:41:41,960 --> 00:41:46,000
Speaker 1: anti Russian types will say it's Russia. Anti China types

661
00:41:46,000 --> 00:41:49,360
Speaker 1: will say it's China. Um, and then you know, anti

662
00:41:49,400 --> 00:41:51,839
Speaker 1: US types will say it's the US. But the truth is,

663
00:41:52,120 --> 00:41:55,160
Speaker 1: at this point we do not have proof of the

664
00:41:55,160 --> 00:41:58,279
Speaker 1: puppet master's identity. We just know that. You know, when

665
00:41:58,320 --> 00:42:02,640
Speaker 1: you see uh sled berties like Woody Harrelson or um

666
00:42:02,680 --> 00:42:05,960
Speaker 1: that um the British celebrity Amanda hold him when you

667
00:42:05,960 --> 00:42:08,680
Speaker 1: see them plugging these kinds of stories and this kind

668
00:42:08,719 --> 00:42:11,759
Speaker 1: of information. They're probably not in on it, you know

669
00:42:11,800 --> 00:42:14,400
Speaker 1: what I mean. Like, I don't think Vladimir Putin or

670
00:42:14,760 --> 00:42:19,560
Speaker 1: um some other leader of a country contacted them like hey, Wood,

671
00:42:19,560 --> 00:42:23,880
Speaker 1: he love you and cheers helped me terrify the public

672
00:42:24,280 --> 00:42:26,680
Speaker 1: and make sure that people are scared of five G.

673
00:42:27,360 --> 00:42:30,400
Speaker 1: As you said, guys for the wrong reasons. You know,

674
00:42:30,520 --> 00:42:37,760
Speaker 1: you know who who it's It's Big four G. Finally,

675
00:42:38,480 --> 00:42:41,239
Speaker 1: Big four G. Yeah, that's the elephant in the room,

676
00:42:42,080 --> 00:42:44,239
Speaker 1: you know. The I guess one of the last things

677
00:42:44,239 --> 00:42:46,280
Speaker 1: we want to talk about today is that we definitely

678
00:42:46,360 --> 00:42:48,920
Speaker 1: knew something was on the way here in the US.

679
00:42:49,280 --> 00:42:53,080
Speaker 1: UH officials knew something was on the way, you know.

680
00:42:53,160 --> 00:42:56,440
Speaker 1: You can find an interview from NBC with two current

681
00:42:56,520 --> 00:42:59,680
Speaker 1: US officials and one former U s official who went

682
00:42:59,719 --> 00:43:02,880
Speaker 1: public and said that U S by agencies were collecting

683
00:43:03,000 --> 00:43:08,520
Speaker 1: raw intelligence about Wuhan, China, specifically back in November, and

684
00:43:08,800 --> 00:43:12,120
Speaker 1: they could tell that there was something going on, and

685
00:43:12,120 --> 00:43:15,760
Speaker 1: they it was. They could tell it was a public

686
00:43:15,760 --> 00:43:19,000
Speaker 1: health crisis. And now they say that this was not

687
00:43:19,080 --> 00:43:22,360
Speaker 1: initially understood as the first warning signs of a pandemic.

688
00:43:23,120 --> 00:43:27,879
Speaker 1: But um, they had situation reports, you know what I mean,

689
00:43:27,920 --> 00:43:32,520
Speaker 1: They had overhead images, they had intercepted communication that showed

690
00:43:32,640 --> 00:43:36,960
Speaker 1: health facilities were going into hyper drive. And this was

691
00:43:37,040 --> 00:43:41,239
Speaker 1: given to the FEDS and various public health officials way

692
00:43:41,239 --> 00:43:45,720
Speaker 1: back in November. Recall again that the insider trading started

693
00:43:45,760 --> 00:43:50,160
Speaker 1: to occur in January. And even when US officials realized

694
00:43:50,200 --> 00:43:53,839
Speaker 1: the magnitude of this problem, there wasn't it wasn't very

695
00:43:53,920 --> 00:43:56,480
Speaker 1: much action, right. We didn't take a lot of steps

696
00:43:56,520 --> 00:44:01,920
Speaker 1: as a country to ready ourselves for a pandemic like um,

697
00:44:02,160 --> 00:44:05,040
Speaker 1: like the Spanish flu epidemic. You know, there there was

698
00:44:05,160 --> 00:44:08,640
Speaker 1: no effort to boost those stockpiles of medical equipment we're

699
00:44:08,640 --> 00:44:12,759
Speaker 1: hearing so much about. There's no effort to encourage social distancing.

700
00:44:13,280 --> 00:44:17,200
Speaker 1: As a matter of fact, if if you think I

701
00:44:17,239 --> 00:44:19,520
Speaker 1: don't know, I don't want to be I don't want

702
00:44:19,520 --> 00:44:22,279
Speaker 1: to be unnecessarily frightening to people. But if if you

703
00:44:22,400 --> 00:44:27,040
Speaker 1: have been counting on six ft distance to keep you safe, uh,

704
00:44:27,120 --> 00:44:31,640
Speaker 1: that's unfortunately not gonna fly. Uh. We know, we know

705
00:44:31,920 --> 00:44:37,279
Speaker 1: now that even the even the personal behavior modifications we've

706
00:44:37,280 --> 00:44:40,560
Speaker 1: tried to institute there better than nothing, But they are

707
00:44:40,600 --> 00:44:43,520
Speaker 1: also not a silver bullet. We should have been prepared

708
00:44:43,560 --> 00:44:46,200
Speaker 1: for this in some way much much earlier. Yeah, I

709
00:44:46,200 --> 00:44:49,839
Speaker 1: mean back in Bill Gates gave a ted talk that's

710
00:44:49,880 --> 00:44:53,400
Speaker 1: being kind of bandied about a lot now, essentially outlining

711
00:44:53,680 --> 00:44:56,399
Speaker 1: exactly what we're experiencing right now, and outlining just how

712
00:44:56,480 --> 00:44:59,880
Speaker 1: unprepared we as a country would be, and and his

713
00:45:00,080 --> 00:45:02,600
Speaker 1: idea that we should run all these simulations to see

714
00:45:02,600 --> 00:45:05,960
Speaker 1: how uh prepared the private sector would be to have

715
00:45:06,200 --> 00:45:09,279
Speaker 1: then e lators, what kind of quarantine measures should be

716
00:45:09,320 --> 00:45:12,480
Speaker 1: put in place, um And and realizing as this has

717
00:45:12,520 --> 00:45:14,960
Speaker 1: happened that no one was prepared for any of this

718
00:45:15,080 --> 00:45:17,680
Speaker 1: at all, and people didn't even take it seriously to

719
00:45:17,719 --> 00:45:21,160
Speaker 1: begin with, including the government. Um And you know, not

720
00:45:21,200 --> 00:45:23,840
Speaker 1: to get too political, because I know it bugs people sometimes,

721
00:45:23,920 --> 00:45:25,799
Speaker 1: but you know, it does feel like there's a certain

722
00:45:25,840 --> 00:45:28,080
Speaker 1: amount of double speed going on in terms of the

723
00:45:28,200 --> 00:45:32,040
Speaker 1: narrative the government has presented in terms of how prepared,

724
00:45:32,440 --> 00:45:35,399
Speaker 1: uh we were, you know, this notion of it being

725
00:45:35,440 --> 00:45:38,840
Speaker 1: some sort of left wing plot um and then immediately

726
00:45:38,840 --> 00:45:41,000
Speaker 1: this about face of oh no, we were. We knew

727
00:45:41,000 --> 00:45:43,480
Speaker 1: all along that it was serious and were prepared for it.

728
00:45:43,680 --> 00:45:46,520
Speaker 1: So it's really kind of head spinning to see that

729
00:45:46,600 --> 00:45:49,040
Speaker 1: shift in rhetoric, and it's like but no, but but

730
00:45:49,040 --> 00:45:51,120
Speaker 1: but but you said, but no, but we have it

731
00:45:51,280 --> 00:45:54,800
Speaker 1: on Uh you know, well, well here here's the problem.

732
00:45:54,840 --> 00:45:59,920
Speaker 1: And we're hearing more and more stories that the Federals

733
00:46:00,000 --> 00:46:03,600
Speaker 1: dock pile of like Ppe and other you know, equipment

734
00:46:03,600 --> 00:46:07,640
Speaker 1: that is supposed to be available. These hospitals are getting

735
00:46:08,239 --> 00:46:12,399
Speaker 1: this old stuff and like if you're talking about one

736
00:46:12,400 --> 00:46:16,160
Speaker 1: of these masks, you can't use it because the elastic

737
00:46:16,200 --> 00:46:18,080
Speaker 1: strap has dry rot all over it and it just

738
00:46:18,120 --> 00:46:20,839
Speaker 1: falls apart because it's been there for so long and

739
00:46:20,880 --> 00:46:24,560
Speaker 1: that spans much further than the current administration, you know

740
00:46:24,600 --> 00:46:27,120
Speaker 1: what I mean. So it was it. It is like

741
00:46:27,160 --> 00:46:29,960
Speaker 1: one of those things where we we didn't we were

742
00:46:29,960 --> 00:46:34,399
Speaker 1: not prepared in so many ways, uh, throughout a large

743
00:46:34,440 --> 00:46:36,840
Speaker 1: span of time. Here the last thing really quickly, I

744
00:46:36,920 --> 00:46:38,719
Speaker 1: just want to jump back to what you were talking about, Ben,

745
00:46:38,960 --> 00:46:44,440
Speaker 1: the intelligence agencies looking hard at Wuhan in November, like

746
00:46:44,560 --> 00:46:48,120
Speaker 1: before we knew there was even a crisis. That's the

747
00:46:48,200 --> 00:46:54,520
Speaker 1: kind of thing that spawns conspiracy theories because you know,

748
00:46:54,560 --> 00:46:58,160
Speaker 1: when you hear of let's say, uh An official in

749
00:46:58,239 --> 00:47:01,280
Speaker 1: China saying this was you know, this virus was started

750
00:47:01,320 --> 00:47:06,160
Speaker 1: by the United States knowing that US by agencies have

751
00:47:06,400 --> 00:47:10,840
Speaker 1: overhead cameras in Wuhan before it officially becomes a pandemic,

752
00:47:11,280 --> 00:47:14,359
Speaker 1: knowing that they're watching the health facilities in particular and

753
00:47:14,400 --> 00:47:18,359
Speaker 1: seeing what kind of activity is occurring. That's what ends

754
00:47:18,440 --> 00:47:22,000
Speaker 1: up creating I think, or at least assists in the

755
00:47:22,080 --> 00:47:26,000
Speaker 1: creation amongst this uncertainty that oh, well, maybe the US

756
00:47:26,200 --> 00:47:30,479
Speaker 1: was watching the spread of this virus they created there. Uh.

757
00:47:30,520 --> 00:47:33,279
Speaker 1: And it's it's just somebody have to be careful about um.

758
00:47:33,840 --> 00:47:37,000
Speaker 1: But it's also troubling, right, and it should be because

759
00:47:37,080 --> 00:47:40,160
Speaker 1: you know, what that clearly points to is not just

760
00:47:40,239 --> 00:47:44,520
Speaker 1: a conspiracy theory, but an actual conspiracy. Make no mistake.

761
00:47:44,560 --> 00:47:48,080
Speaker 1: You know, certain members of Congress, with access to intelligence reports,

762
00:47:48,400 --> 00:47:52,960
Speaker 1: did indeed conspire to make a buck, make a vig

763
00:47:53,040 --> 00:47:57,200
Speaker 1: off of this, uh, this disaster. You know. Then they

764
00:47:57,239 --> 00:48:00,120
Speaker 1: did so because they had information that you and I

765
00:48:00,440 --> 00:48:03,319
Speaker 1: and everyone listening, well some of the people listening did

766
00:48:03,360 --> 00:48:07,160
Speaker 1: not have. And and this like, there's a really important

767
00:48:07,160 --> 00:48:09,640
Speaker 1: point that's kind of related to this that I want

768
00:48:09,640 --> 00:48:11,960
Speaker 1: to I want to point out. Um, we mentioned it

769
00:48:12,040 --> 00:48:14,280
Speaker 1: kind of at the top of the show. This spells

770
00:48:14,320 --> 00:48:18,359
Speaker 1: a lot of problems in conclusion when we ask where

771
00:48:18,360 --> 00:48:22,280
Speaker 1: do we go next? Right where now? We are already

772
00:48:22,360 --> 00:48:28,880
Speaker 1: seeing domestic stability become increasingly fragile here in the United States. UM.

773
00:48:28,920 --> 00:48:30,840
Speaker 1: You know, we've been very lucky as a country that

774
00:48:30,880 --> 00:48:34,279
Speaker 1: there's always a peaceful transition of power. A lot of

775
00:48:34,320 --> 00:48:37,319
Speaker 1: other countries have not been able to pull that off. UM.

776
00:48:37,600 --> 00:48:39,839
Speaker 1: And you know, it's it's something that we take for

777
00:48:39,880 --> 00:48:44,200
Speaker 1: granted here, but the chain of command uh may start

778
00:48:44,239 --> 00:48:47,280
Speaker 1: to break down. Just in Massachusetts, for instance, the governor

779
00:48:47,280 --> 00:48:50,879
Speaker 1: of Massachusetts had to smuggle mask from China that can't

780
00:48:50,880 --> 00:48:54,120
Speaker 1: believe there's a true story on a New England Patriots

781
00:48:54,160 --> 00:48:58,040
Speaker 1: airplane because the FEDS were going to take these things.

782
00:48:58,040 --> 00:49:00,240
Speaker 1: They wanted to be in charge of giving this metical

783
00:49:00,239 --> 00:49:03,920
Speaker 1: equipment to states. UH. And the system or the process

784
00:49:03,960 --> 00:49:06,680
Speaker 1: they used to determine who gets what has been under

785
00:49:06,760 --> 00:49:10,680
Speaker 1: a huge amount of criticism. So the Massachusetts governor smuggled

786
00:49:10,680 --> 00:49:13,799
Speaker 1: this stuff on a sports team airplane with the help

787
00:49:13,840 --> 00:49:16,600
Speaker 1: of the National Guard, with the help of the Massachusetts Police,

788
00:49:16,920 --> 00:49:21,320
Speaker 1: they transported it to other states. This is an open

789
00:49:21,440 --> 00:49:26,040
Speaker 1: defiance of the federal government. UH. And you know, like

790
00:49:26,120 --> 00:49:30,280
Speaker 1: think about think about what happens if um the federal

791
00:49:30,320 --> 00:49:33,440
Speaker 1: government and the state of California, which if it were

792
00:49:33,440 --> 00:49:36,320
Speaker 1: an independent country, would be like the world's fifth largest

793
00:49:36,320 --> 00:49:40,560
Speaker 1: in terms of GDP. What if California gets an order

794
00:49:40,640 --> 00:49:44,200
Speaker 1: from the Feds to fire or arrest their governor, just

795
00:49:44,239 --> 00:49:47,640
Speaker 1: being hypothetical, and California says, no, we're not gonna do it.

796
00:49:47,680 --> 00:49:50,640
Speaker 1: What are you gonna do about it? That? Like, that

797
00:49:50,800 --> 00:49:56,360
Speaker 1: is possible, not plausible, but possible. Yeah, maybe a different episode.

798
00:49:56,640 --> 00:49:59,640
Speaker 1: Let's let's hope that the next of all ar isn't

799
00:49:59,719 --> 00:50:02,479
Speaker 1: as close as it feels. Let's just put it that way,

800
00:50:03,680 --> 00:50:05,759
Speaker 1: because there will. There will be the next one at

801
00:50:05,800 --> 00:50:09,560
Speaker 1: some point in the future, hopefully not anytime soon. Do

802
00:50:09,600 --> 00:50:12,719
Speaker 1: you think it's a political party based or or is

803
00:50:12,760 --> 00:50:15,200
Speaker 1: it just between the halves and the have nots? Or

804
00:50:15,600 --> 00:50:21,120
Speaker 1: what's the division in this in this coming warrior you're picturing, Well, depends.

805
00:50:21,440 --> 00:50:23,640
Speaker 1: I mean, draw lines wherever you want there. They will

806
00:50:23,680 --> 00:50:25,600
Speaker 1: be drawn, and they kind of already are in so

807
00:50:25,680 --> 00:50:29,960
Speaker 1: many different ways, whether it's economics or you know, ideology,

808
00:50:30,080 --> 00:50:32,279
Speaker 1: or in this case, you know, something as simple as

809
00:50:32,320 --> 00:50:35,279
Speaker 1: states rights versus federal right. I guess you're right. I

810
00:50:35,280 --> 00:50:38,320
Speaker 1: think things have gotten so complex and there's so many

811
00:50:38,400 --> 00:50:40,400
Speaker 1: divisions in our country, Like, it's not going to be

812
00:50:40,440 --> 00:50:43,200
Speaker 1: as simple as like, you know, the North versus the South.

813
00:50:43,600 --> 00:50:46,960
Speaker 1: There's so many potential sects and things that can shoot off.

814
00:50:47,360 --> 00:50:50,799
Speaker 1: The one silver lining here is that there is a

815
00:50:50,840 --> 00:50:54,880
Speaker 1: common enemy. There's one common enemy now that each state,

816
00:50:55,320 --> 00:51:00,520
Speaker 1: each government across the world faces each individual, and that

817
00:51:00,719 --> 00:51:05,480
Speaker 1: is this pandemic, a tiny little microscopic thing, an invader

818
00:51:06,000 --> 00:51:08,399
Speaker 1: that can find its way into your body or your

819
00:51:08,640 --> 00:51:12,000
Speaker 1: you know, your spouse's body, or your child's body, or

820
00:51:12,040 --> 00:51:14,840
Speaker 1: your parents body. And that's the thing that we can

821
00:51:14,880 --> 00:51:17,560
Speaker 1: band together and fight and hopefully we can see past

822
00:51:17,640 --> 00:51:20,359
Speaker 1: a lot of this other stuff at least long enough

823
00:51:20,400 --> 00:51:23,000
Speaker 1: to to get through this together. That's a really good point,

824
00:51:23,000 --> 00:51:26,080
Speaker 1: Matt and and and and something that I'm leaning on

825
00:51:26,160 --> 00:51:28,319
Speaker 1: as well in terms of a silver lining or some

826
00:51:28,400 --> 00:51:31,000
Speaker 1: kind of hope, Well we better get it together. I mean,

827
00:51:31,440 --> 00:51:35,680
Speaker 1: you know this, uh, just the one point about politics,

828
00:51:35,680 --> 00:51:40,480
Speaker 1: you know, like or the US, California could go independent

829
00:51:40,600 --> 00:51:44,160
Speaker 1: and Texas has historically had this um this great pride,

830
00:51:44,200 --> 00:51:47,080
Speaker 1: a willingness to go independent. Um. So the stability of

831
00:51:47,120 --> 00:51:49,280
Speaker 1: the union might be a problem, but having a common

832
00:51:49,400 --> 00:51:51,880
Speaker 1: enemy is something that does really unite people. I think

833
00:51:51,960 --> 00:51:54,960
Speaker 1: that's a fantastic point, Matt, and we better get it together.

834
00:51:55,239 --> 00:51:59,000
Speaker 1: Because six new coronaviruses were discovered in bats in Myanmar

835
00:51:59,280 --> 00:52:02,480
Speaker 1: just this we uh, they're not they're not the same

836
00:52:02,520 --> 00:52:05,960
Speaker 1: as stars or um what we call stars and what

837
00:52:06,000 --> 00:52:09,000
Speaker 1: we call COVID. But the point is they're out there,

838
00:52:09,239 --> 00:52:13,040
Speaker 1: and this recovery period for the world will take much

839
00:52:13,280 --> 00:52:16,040
Speaker 1: much longer than a lot of politicians and a lot

840
00:52:16,080 --> 00:52:18,560
Speaker 1: of businesses want you to believe. Like I said at

841
00:52:18,560 --> 00:52:21,080
Speaker 1: the top, don't think of this in terms of bouncing back.

842
00:52:21,360 --> 00:52:23,800
Speaker 1: We need to think of this in terms of clawing

843
00:52:23,960 --> 00:52:27,359
Speaker 1: our way out of a slippery pit. And it's it's

844
00:52:27,440 --> 00:52:31,600
Speaker 1: gonna take everybody where a species that's terrible at working together.

845
00:52:32,080 --> 00:52:34,920
Speaker 1: But now the rubber is hitting the road, you know, um,

846
00:52:35,040 --> 00:52:41,720
Speaker 1: we we know that that international trade is already reaching,

847
00:52:42,040 --> 00:52:47,319
Speaker 1: um reaching some crisis points. Like you think you think

848
00:52:47,360 --> 00:52:51,359
Speaker 1: that that it's bad when you see the grocery store

849
00:52:51,440 --> 00:52:54,040
Speaker 1: shelves in your neck of the woods empty and you

850
00:52:54,040 --> 00:52:57,160
Speaker 1: can't get toilet paper. Imagine that happening on a macro

851
00:52:57,280 --> 00:53:01,600
Speaker 1: cosmic scale. With mask ventilator's respiration eads more. The US

852
00:53:01,880 --> 00:53:04,719
Speaker 1: is taking and I feel like we have to say

853
00:53:04,719 --> 00:53:06,560
Speaker 1: this even though we are residents of the U S.

854
00:53:06,600 --> 00:53:09,920
Speaker 1: And and I, for one, UH, I am a patriot.

855
00:53:09,920 --> 00:53:13,280
Speaker 1: I love this country. But the US is like straight

856
00:53:13,360 --> 00:53:18,080
Speaker 1: up stealing international shipments of medical equipment and this is

857
00:53:18,320 --> 00:53:21,480
Speaker 1: uh and other countries are doing shady stuff too. The

858
00:53:21,560 --> 00:53:24,520
Speaker 1: U S Is not alone here, but now as we

859
00:53:24,560 --> 00:53:28,040
Speaker 1: record this, at least sixty nine countries have banned or

860
00:53:28,120 --> 00:53:33,200
Speaker 1: restricted the export of protective equipment, medical devices, medicines, and more.

861
00:53:33,440 --> 00:53:37,040
Speaker 1: And this seems set to continue. I mean, I don't

862
00:53:37,080 --> 00:53:38,920
Speaker 1: I don't know, what do you guys think? This feels

863
00:53:39,040 --> 00:53:43,200
Speaker 1: very much like we are in a moment that future

864
00:53:43,280 --> 00:53:47,640
Speaker 1: historians will spend years writing about. We're We're in one

865
00:53:47,640 --> 00:53:52,600
Speaker 1: of the defining moments of history. This is a major shift,

866
00:53:52,800 --> 00:53:55,760
Speaker 1: and I think a lot of us have already started

867
00:53:55,760 --> 00:54:02,520
Speaker 1: thinking about this differently. Um. I I was really struck

868
00:54:03,520 --> 00:54:07,880
Speaker 1: by some comments that Dr Anthony Anthony Fauci I believe

869
00:54:08,000 --> 00:54:10,520
Speaker 1: is his name, UM, one of the one of the

870
00:54:11,120 --> 00:54:14,120
Speaker 1: you know, main people who is fighting against this thing

871
00:54:14,120 --> 00:54:17,919
Speaker 1: and attempting to advise everybody on what to do. And

872
00:54:19,440 --> 00:54:23,719
Speaker 1: he basically advised this week on Wednesday, and maybe a

873
00:54:23,719 --> 00:54:28,400
Speaker 1: little before that he advised that as a custom, the

874
00:54:28,560 --> 00:54:34,320
Speaker 1: world and particularly the United States, stops shaking hands forever,

875
00:54:35,080 --> 00:54:38,239
Speaker 1: Like we just cut it out of a thing that

876
00:54:38,280 --> 00:54:41,719
Speaker 1: we do, and that that to me is crazy. But

877
00:54:41,960 --> 00:54:44,920
Speaker 1: at the same time it makes total sense. And after

878
00:54:45,000 --> 00:54:49,239
Speaker 1: going through this, I think everyone will see that as well. Well. Obviously, yeah,

879
00:54:49,320 --> 00:54:52,200
Speaker 1: you don't shake hands anymore, you don't hug anybody anymore

880
00:54:52,239 --> 00:54:54,600
Speaker 1: in public. It's not It's not as though it's gonna

881
00:54:54,640 --> 00:54:57,439
Speaker 1: be for a couple of months or even a couple

882
00:54:57,440 --> 00:54:59,800
Speaker 1: of years. I think this is gonna be a so

883
00:55:00,040 --> 00:55:03,879
Speaker 1: full shift across the world. It feels like, because Ben,

884
00:55:03,920 --> 00:55:06,799
Speaker 1: you're saying, this is like a shifting point, This is

885
00:55:06,840 --> 00:55:09,279
Speaker 1: a This is one of those moments in history that

886
00:55:09,360 --> 00:55:12,359
Speaker 1: we literally make a turn twenty five degrees in one

887
00:55:12,400 --> 00:55:15,440
Speaker 1: direction and we don't ever go back the other way. Yeah, Ben,

888
00:55:15,480 --> 00:55:16,920
Speaker 1: I mean to your point about it not being a

889
00:55:16,960 --> 00:55:20,680
Speaker 1: bounce back thing. Like even if this were eradicated tomorrow,

890
00:55:20,760 --> 00:55:22,839
Speaker 1: which obviously isn't going to happen, It's just not how

891
00:55:22,840 --> 00:55:25,799
Speaker 1: it works. There's going to be a period of distrust

892
00:55:26,120 --> 00:55:29,960
Speaker 1: and a period of adjusting to, you know, the trauma

893
00:55:30,040 --> 00:55:33,000
Speaker 1: that we have all collectively experienced as a as a

894
00:55:33,000 --> 00:55:37,280
Speaker 1: as a you know, a global society, you know, where

895
00:55:37,320 --> 00:55:40,719
Speaker 1: there's going to be things some kind of PTSD as

896
00:55:40,719 --> 00:55:43,000
Speaker 1: a culture and and as a world that we're all

897
00:55:43,000 --> 00:55:44,640
Speaker 1: going to have to waite our way through. Even if

898
00:55:44,680 --> 00:55:46,719
Speaker 1: all of this just went, you know, blipped out of

899
00:55:46,719 --> 00:55:49,279
Speaker 1: existence tomorrow. And obviously that's not going to happen. So

900
00:55:49,600 --> 00:55:52,240
Speaker 1: we're going to be dealing with those, uh, those various

901
00:55:52,280 --> 00:55:57,279
Speaker 1: individual and collective traumas for probably a long time. But um, hopefully, Matt,

902
00:55:57,320 --> 00:55:59,839
Speaker 1: to your point, there is something we can learn about

903
00:55:59,840 --> 00:56:03,040
Speaker 1: our cells and the way we interact with people, and

904
00:56:03,080 --> 00:56:05,640
Speaker 1: the way government's work that maybe can be taken from

905
00:56:05,680 --> 00:56:08,360
Speaker 1: this and hopefully move things in a positive direction. I

906
00:56:08,400 --> 00:56:11,040
Speaker 1: would like to believe that I think shaking hands is

907
00:56:11,160 --> 00:56:14,239
Speaker 1: weird again. I know I say this a lot on

908
00:56:14,280 --> 00:56:17,880
Speaker 1: our show, but it's it's kind of it's it's like neckties.

909
00:56:18,239 --> 00:56:21,319
Speaker 1: You know. Sometime over the course of civilization, we just

910
00:56:21,440 --> 00:56:24,120
Speaker 1: accepted that it's weird. It serves it doesn't really serve

911
00:56:24,160 --> 00:56:26,600
Speaker 1: a function. The old story about shaking hands is just

912
00:56:26,640 --> 00:56:29,319
Speaker 1: to check people for weapons, and you've got to admit, man,

913
00:56:29,600 --> 00:56:32,319
Speaker 1: it's a weird and specific thing. Goodbye to it. I

914
00:56:32,360 --> 00:56:34,919
Speaker 1: won't miss I'll miss a lot of things, but I won't.

915
00:56:35,160 --> 00:56:38,719
Speaker 1: I won't miss just rubbing palms with some stranger right

916
00:56:38,760 --> 00:56:41,359
Speaker 1: off the jump when I meet them. That's so weird.

917
00:56:41,480 --> 00:56:45,200
Speaker 1: I love the human physical connection of shaking your hand.

918
00:56:45,400 --> 00:56:48,200
Speaker 1: I am a huge hugger, and I be aware. I

919
00:56:48,200 --> 00:56:51,960
Speaker 1: will hug you. Don't come too close. I will hug you. Yeah,

920
00:56:52,040 --> 00:56:54,640
Speaker 1: you got you've you've gotten us before. Yeah, well, I

921
00:56:54,640 --> 00:56:57,359
Speaker 1: mean that's that's on a like seriously, on a very

922
00:56:57,360 --> 00:56:59,600
Speaker 1: personal note. That is how I met my wife by

923
00:56:59,719 --> 00:57:03,920
Speaker 1: ran em lely hugging her and like like I you know,

924
00:57:04,239 --> 00:57:10,680
Speaker 1: losing that kind of interpersonal connection even with a you know,

925
00:57:10,719 --> 00:57:15,719
Speaker 1: a total stranger, you know, showing showing that connection that

926
00:57:16,320 --> 00:57:19,280
Speaker 1: you know we're both the same. Um. I don't know.

927
00:57:19,360 --> 00:57:21,640
Speaker 1: Not being able to do that physically and having to

928
00:57:21,680 --> 00:57:24,120
Speaker 1: do it either with an emoji in the future or

929
00:57:24,120 --> 00:57:27,280
Speaker 1: whatever else we're gonna have to do to communicate that

930
00:57:27,320 --> 00:57:31,560
Speaker 1: kind of feeling that troubles me deeply. But yeah, who knows,

931
00:57:31,640 --> 00:57:34,280
Speaker 1: Maybe that's where we're headed. Guess let us know what

932
00:57:34,360 --> 00:57:37,920
Speaker 1: you think, folks, shaking hands, you love it, You're gonna

933
00:57:37,920 --> 00:57:41,120
Speaker 1: miss it. What's what's your take? Uh? We still haven't

934
00:57:41,120 --> 00:57:44,400
Speaker 1: made a secret handshake for conspiracy stuff and now we

935
00:57:44,960 --> 00:57:49,000
Speaker 1: maybe never us, but we want to hear from you.

936
00:57:49,080 --> 00:57:51,800
Speaker 1: We want to hear your stories, your experiences from your

937
00:57:51,840 --> 00:57:54,840
Speaker 1: neck of the global woods. Find us on Facebook, Find

938
00:57:54,880 --> 00:57:58,400
Speaker 1: us on Twitter, Find us on Instagram where conspiracy stuff

939
00:57:58,480 --> 00:58:02,080
Speaker 1: or conspiracy stuff show. We also like to recommend Here's

940
00:58:02,120 --> 00:58:05,400
Speaker 1: where it gets crazy, our community page on Facebook where

941
00:58:05,560 --> 00:58:08,320
Speaker 1: we've um you know, we want to thank you if

942
00:58:08,320 --> 00:58:11,360
Speaker 1: you're listening, if you're on there. Uh, Facebook isn't perfect,

943
00:58:11,600 --> 00:58:13,640
Speaker 1: but this has been Uh, this has been a really

944
00:58:13,720 --> 00:58:16,440
Speaker 1: strong community. And thanks to our mods as well, and

945
00:58:16,480 --> 00:58:19,760
Speaker 1: thanks to everybody who's been calling into our number of

946
00:58:20,040 --> 00:58:23,800
Speaker 1: just leaving us some really great insight and you know,

947
00:58:23,960 --> 00:58:26,320
Speaker 1: just knowing that you're out there and hearing your voice,

948
00:58:27,120 --> 00:58:29,800
Speaker 1: just talking about that personal connection, it's just one step

949
00:58:29,840 --> 00:58:33,080
Speaker 1: closer to actually, you know, having a moment, an actual

950
00:58:33,120 --> 00:58:35,000
Speaker 1: moment with you when you call in. So we really

951
00:58:35,040 --> 00:58:37,880
Speaker 1: do appreciate that. If you want to leave us a message,

952
00:58:38,280 --> 00:58:41,880
Speaker 1: our number is one eight three three st d w

953
00:58:42,160 --> 00:58:44,640
Speaker 1: y t k UH and we we look forward to

954
00:58:44,680 --> 00:58:46,920
Speaker 1: hearing from you. Anything you want to talk about. Just

955
00:58:47,200 --> 00:58:49,400
Speaker 1: leave us a message. We're listening and you may well

956
00:58:49,440 --> 00:58:51,400
Speaker 1: get a call back from Matt and the and the

957
00:58:51,440 --> 00:58:54,400
Speaker 1: wee hours of the nights and and have that personal

958
00:58:54,440 --> 00:58:58,080
Speaker 1: moment um Matt you. I am always blown away by

959
00:58:58,120 --> 00:59:01,160
Speaker 1: how good a steward you are of of this, of

960
00:59:01,200 --> 00:59:03,960
Speaker 1: this call in and you really treat it with a

961
00:59:03,960 --> 00:59:07,439
Speaker 1: lot of respect and care, and I really appreciate that. Well.

962
00:59:07,480 --> 00:59:10,680
Speaker 1: I apologize in advance both if you don't receive a

963
00:59:10,720 --> 00:59:14,440
Speaker 1: call back from me and especially if you do. If

964
00:59:14,480 --> 00:59:16,320
Speaker 1: you don't want to do that, you can find us

965
00:59:16,320 --> 00:59:19,960
Speaker 1: on the usual social channels of choice. UM we we

966
00:59:19,960 --> 00:59:22,040
Speaker 1: would really like it if you joined our Facebook group.

967
00:59:22,080 --> 00:59:24,080
Speaker 1: Here's where it gets crazy. I think all you have

968
00:59:24,160 --> 00:59:26,680
Speaker 1: to do is name one or all four of the

969
00:59:26,680 --> 00:59:29,440
Speaker 1: members of our crew, or just make a reference to

970
00:59:29,480 --> 00:59:31,160
Speaker 1: something you've heard in the show, or just just make

971
00:59:31,240 --> 00:59:33,600
Speaker 1: us laugh, and I think you're You're in, like flynn, Um.

972
00:59:33,640 --> 00:59:36,320
Speaker 1: You can also find us on Instagram where a conspiracy

973
00:59:36,320 --> 00:59:39,439
Speaker 1: Stuff show or conspiracy Stuff one combination of those two.

974
00:59:39,440 --> 00:59:41,680
Speaker 1: On all of the social platforms, you can also find

975
00:59:41,720 --> 00:59:45,160
Speaker 1: us as individuals. I am exclusively on Instagram at how

976
00:59:45,240 --> 00:59:47,960
Speaker 1: Now Noel Brown. You can find me on Twitter at

977
00:59:47,960 --> 00:59:50,680
Speaker 1: Ben Bowling hs W. You can find me on Instagram

978
00:59:50,720 --> 00:59:54,960
Speaker 1: at ben Bowland. If social media, uh, if that doesn't

979
00:59:55,040 --> 00:59:58,240
Speaker 1: quite bag your badgers, never fear. If you hate phones,

980
00:59:58,400 --> 01:00:01,600
Speaker 1: don't worry about it. You can always reach just seven

981
01:00:02,000 --> 01:00:05,840
Speaker 1: at our good old fashioned email address. We are conspiracy

982
01:00:06,040 --> 01:00:27,080
Speaker 1: at i heeart radio dot com. Stuff they don't want

983
01:00:27,080 --> 01:00:29,440
Speaker 1: you to know is a production of I Heart Radio.

984
01:00:29,760 --> 01:00:32,040
Speaker 1: For more podcasts from my heart Radio, visit the i

985
01:00:32,080 --> 01:00:34,960
Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to

986
01:00:35,040 --> 01:00:35,840
Speaker 1: your favorite shows.