1
00:00:00,280 --> 00:00:04,720
Speaker 1: From UFOs to psychic powers and government conspiracies. History is

2
00:00:04,840 --> 00:00:09,119
Speaker 1: riddled with unexplained events. You can turn back now or

3
00:00:09,240 --> 00:00:12,200
Speaker 1: learn the stuff they don't want you to know. A

4
00:00:12,280 --> 00:00:13,920
Speaker 1: production of iHeartRadio.

5
00:00:24,200 --> 00:00:26,000
Speaker 2: Hello, welcome back to the show.

6
00:00:26,040 --> 00:00:28,800
Speaker 3: My name is Matt, my name is no They called

7
00:00:28,840 --> 00:00:31,600
Speaker 3: me Ben. We're joined as always with our super producer

8
00:00:31,640 --> 00:00:37,200
Speaker 3: Alexis code named Doc Holliday Jackson. Most importantly, you are here,

9
00:00:37,320 --> 00:00:40,760
Speaker 3: and that makes this the stuff they don't want you

10
00:00:40,960 --> 00:00:44,440
Speaker 3: to know. This week's strange News is a bit of

11
00:00:44,600 --> 00:00:47,920
Speaker 3: a grab bat more so than usual, folks. We've got

12
00:00:47,960 --> 00:00:52,920
Speaker 3: a lot of weird updates, some that may not become episodes,

13
00:00:53,159 --> 00:00:56,080
Speaker 3: some that, unfortunately are going to have to become episodes

14
00:00:56,160 --> 00:00:59,920
Speaker 3: in the future. I was thinking, guys, we can eat

15
00:01:00,200 --> 00:01:03,440
Speaker 3: into this a bit with some news that is not

16
00:01:03,680 --> 00:01:05,679
Speaker 3: terrible and then go to terrible stuff.

17
00:01:06,240 --> 00:01:10,319
Speaker 4: How do you feel I like that trajectory, just fineh okay, okay, great.

18
00:01:10,480 --> 00:01:14,200
Speaker 3: So the first thing I don't know about you, guys,

19
00:01:14,280 --> 00:01:17,720
Speaker 3: but I go through these intense phases of obsession and

20
00:01:17,760 --> 00:01:21,560
Speaker 3: fascination with things, and one of the one of the

21
00:01:21,600 --> 00:01:26,080
Speaker 3: phases that I've been going through is diving deep into

22
00:01:26,520 --> 00:01:32,800
Speaker 3: interactions between intelligent animals and humans and then other animals

23
00:01:33,000 --> 00:01:37,040
Speaker 3: with each other, Like how does how would an octopus

24
00:01:37,160 --> 00:01:40,920
Speaker 3: react to an elephant? Right? How would those very intelligent

25
00:01:40,920 --> 00:01:42,280
Speaker 3: creatures navigate each other?

26
00:01:42,360 --> 00:01:45,039
Speaker 4: I kind of wonder if, like the creators of Pixar films,

27
00:01:45,400 --> 00:01:49,360
Speaker 4: go down similar rabbit holes when they're plotting out their movies.

28
00:01:49,680 --> 00:01:53,240
Speaker 3: One hundred percent, maybe they're doing what happens. Again, I

29
00:01:53,240 --> 00:01:56,720
Speaker 3: can't speak for everybody, Maybe they're doing something similar, because

30
00:01:56,760 --> 00:01:59,920
Speaker 3: sometimes you get so obsessed with something your rationalize it,

31
00:02:00,200 --> 00:02:05,480
Speaker 3: saying I'll work this into a project later somehow the

32
00:02:05,520 --> 00:02:11,359
Speaker 3: octopus will apply. It's funny because what we see can change,

33
00:02:12,320 --> 00:02:15,760
Speaker 3: can change our perception in ways that we don't understand,

34
00:02:15,880 --> 00:02:20,040
Speaker 3: and that is what has inspired the Toronto Zoo to

35
00:02:20,400 --> 00:02:26,720
Speaker 3: beg people to stop showing gorillas videos on their phones.

36
00:02:27,720 --> 00:02:29,799
Speaker 3: If you go to the zoo now, you will see

37
00:02:29,800 --> 00:02:33,520
Speaker 3: a sign that says, for the well being of Gorilla Troop,

38
00:02:33,880 --> 00:02:37,760
Speaker 3: please refrain from showing them any videos or photos, as

39
00:02:37,800 --> 00:02:42,520
Speaker 3: some content can be upsetting and affect their relationships and

40
00:02:42,600 --> 00:02:44,600
Speaker 3: behavior within their family.

41
00:02:45,160 --> 00:02:47,840
Speaker 4: Okay, first of all, this feels like advice that we

42
00:02:47,880 --> 00:02:51,359
Speaker 4: should be taking for ourselves and also for our kids

43
00:02:51,720 --> 00:02:54,639
Speaker 4: and the fact that the Zoo is like first to

44
00:02:54,800 --> 00:02:57,880
Speaker 4: market with this hot take, I think is pretty amazing,

45
00:02:58,160 --> 00:02:59,600
Speaker 4: hilarious and a little.

46
00:02:59,320 --> 00:03:04,000
Speaker 2: Sad something My mom literally always said, hey, watch what

47
00:03:04,040 --> 00:03:06,720
Speaker 2: you put in there talking about your brain, because it

48
00:03:06,760 --> 00:03:09,520
Speaker 2: doesn't really come out. It's always going to be in there.

49
00:03:09,680 --> 00:03:12,760
Speaker 3: That's astute. I like that, well and garbage out.

50
00:03:12,840 --> 00:03:13,680
Speaker 4: Yeah yeah.

51
00:03:13,720 --> 00:03:17,400
Speaker 3: And so I'm sharing a screen real quick here. This

52
00:03:17,760 --> 00:03:21,160
Speaker 3: is a guy to Zoo who is showing an adult

53
00:03:21,280 --> 00:03:28,560
Speaker 3: male gorilla pictures of female gorillas and swiping when the

54
00:03:28,600 --> 00:03:33,440
Speaker 3: gorilla tells him to swipe. It went viral temporarily as

55
00:03:33,520 --> 00:03:34,920
Speaker 3: a tendrilla.

56
00:03:35,280 --> 00:03:40,360
Speaker 4: I mean, it's cute, but also like it's kind of weird.

57
00:03:40,440 --> 00:03:42,520
Speaker 4: It never occurred to me that this would be a trend,

58
00:03:42,640 --> 00:03:45,360
Speaker 4: that people would have this idea. I mean it makes

59
00:03:45,400 --> 00:03:47,840
Speaker 4: me think back to like Coco the gorilla, you know,

60
00:03:48,000 --> 00:03:51,320
Speaker 4: and like how Cocoa would do kind of humany things

61
00:03:51,400 --> 00:03:54,480
Speaker 4: like finger painting. But we don't fingerpaint anymore. We just

62
00:03:54,480 --> 00:03:56,320
Speaker 4: look at our phones. So I guess this is sort

63
00:03:56,320 --> 00:03:58,040
Speaker 4: of the modern version of that.

64
00:03:58,440 --> 00:04:01,360
Speaker 2: Yeah, but we're like we finger with our fingers on

65
00:04:01,400 --> 00:04:01,800
Speaker 2: our phones.

66
00:04:01,840 --> 00:04:03,280
Speaker 4: Yeah right, yeah, yeah, I mean, if you have a

67
00:04:03,320 --> 00:04:07,640
Speaker 4: finger painting app perhaps, you know, or justers well.

68
00:04:07,760 --> 00:04:11,320
Speaker 2: I just I just mean the action is very similar

69
00:04:12,000 --> 00:04:15,200
Speaker 2: to it. Yeah primitive, I don't.

70
00:04:15,040 --> 00:04:18,640
Speaker 3: Know, and this is okay. So here's here's the video

71
00:04:18,760 --> 00:04:22,479
Speaker 3: that broke the proverbial back of the zoo. They have

72
00:04:22,680 --> 00:04:26,320
Speaker 3: at Toronto Zoo a teenager you can think of him

73
00:04:26,320 --> 00:04:31,000
Speaker 3: as that, a teenage gorilla named Nasir, and Nasir is

74
00:04:31,160 --> 00:04:35,320
Speaker 3: so into watching videos and seeing pictures on the phones

75
00:04:35,360 --> 00:04:39,680
Speaker 3: of visitors that he has become a bit like Hikiko

76
00:04:39,800 --> 00:04:43,960
Speaker 3: Mori in Japan. He's sort of withdrawn from the social

77
00:04:44,080 --> 00:04:48,160
Speaker 3: life of the gorilla troupe. This has apparently happened at

78
00:04:48,200 --> 00:04:51,960
Speaker 3: a couple of other zoos in Chicago and other places

79
00:04:52,000 --> 00:04:54,880
Speaker 3: around the world with a proliferation of cell phones. So

80
00:04:54,920 --> 00:04:57,440
Speaker 3: if you think about it, most times when people go

81
00:04:57,480 --> 00:04:59,440
Speaker 3: to a zoo these days, they are going to have

82
00:04:59,480 --> 00:05:02,719
Speaker 3: their phone out because they want to, you know, document

83
00:05:02,880 --> 00:05:06,080
Speaker 3: this stuff forward later because wild animals are super cool.

84
00:05:06,360 --> 00:05:08,400
Speaker 4: Yeah, but I never would have thought about flipping it

85
00:05:08,440 --> 00:05:11,800
Speaker 4: the other way around, Like, that's just strange to me.

86
00:05:12,200 --> 00:05:15,320
Speaker 4: This never would have occurred to me. Showing gorilla's funny

87
00:05:15,320 --> 00:05:16,520
Speaker 4: internet videos the.

88
00:05:16,760 --> 00:05:22,000
Speaker 3: Crown Jewelman of this obsession, right, now orangutang. They're amazing.

89
00:05:22,040 --> 00:05:28,880
Speaker 3: They're so into emulating human behavior it becomes adorable than

90
00:05:28,920 --> 00:05:32,240
Speaker 3: heartbreaking and disturbing all at the same time. But we

91
00:05:32,360 --> 00:05:35,440
Speaker 3: just wanted to give our friends to Toronto Zoo a

92
00:05:35,520 --> 00:05:41,520
Speaker 3: quick shout out and that PSA, please please please stop

93
00:05:41,960 --> 00:05:46,080
Speaker 3: stop showing gorilla's thirst trap pictures of other gorillas on

94
00:05:46,120 --> 00:05:51,599
Speaker 3: your phone. Just enjoy supporting wildlife for some completely different

95
00:05:51,640 --> 00:05:53,560
Speaker 3: because we said we do funny stuff at the beginning,

96
00:05:53,640 --> 00:05:56,320
Speaker 3: or strange stuff. Do you guys like Burger King?

97
00:05:56,839 --> 00:05:58,719
Speaker 4: You know, I actually do. I think it's one of

98
00:05:58,760 --> 00:06:03,120
Speaker 4: the superior food burgers, the flame broiled whopper, big fan.

99
00:06:03,560 --> 00:06:07,840
Speaker 2: Literally sorry Burger King, but literally just the whopper everything else?

100
00:06:08,040 --> 00:06:10,800
Speaker 4: No, thank you? Are you talking about the real cheeseburger? Ben?

101
00:06:11,279 --> 00:06:16,080
Speaker 3: Yeah, I yes, I never. I never had a whopper

102
00:06:16,400 --> 00:06:20,279
Speaker 3: until well into adulthood. I think Matt and may have

103
00:06:20,279 --> 00:06:23,160
Speaker 3: been after we started making making this show in its

104
00:06:23,200 --> 00:06:27,000
Speaker 3: original its original format. And I just heard a commercial

105
00:06:27,000 --> 00:06:29,520
Speaker 3: one time, and I'm so gullible for advertising, and I

106
00:06:29,640 --> 00:06:32,000
Speaker 3: was like, huh, yeah, when is the last time I

107
00:06:32,000 --> 00:06:34,560
Speaker 3: had a whopper? And you know what, Noel, I thought

108
00:06:34,600 --> 00:06:38,640
Speaker 3: it measured up to the hype burger King is Burger

109
00:06:38,720 --> 00:06:43,680
Speaker 3: King in Thailand has decided to get pretty extreme with

110
00:06:44,000 --> 00:06:48,080
Speaker 3: their cheeseburger. It's got viral. CNN did a story on it. No,

111
00:06:48,200 --> 00:06:50,920
Speaker 3: it sounds like you saw it too. It's too much

112
00:06:51,720 --> 00:06:56,160
Speaker 3: cheese as cheese fans, we say this, the real cheeseburger

113
00:06:56,640 --> 00:06:59,599
Speaker 3: contains none of what you love about the whopper, if

114
00:06:59,640 --> 00:07:03,120
Speaker 3: you love the actual patty and the chart real thing. Instead,

115
00:07:03,360 --> 00:07:06,440
Speaker 3: it's got a cheese. It's got a burger button and

116
00:07:06,720 --> 00:07:08,479
Speaker 3: twenty slices of American cheese.

117
00:07:08,920 --> 00:07:13,000
Speaker 4: This is what you'd probably call stunt food or like,

118
00:07:13,600 --> 00:07:17,480
Speaker 4: it's literally something that is designed just to raise some

119
00:07:17,640 --> 00:07:18,880
Speaker 4: social media profiles.

120
00:07:18,960 --> 00:07:21,720
Speaker 3: You know. Yeah, that's crazy too that you mentioned that,

121
00:07:21,800 --> 00:07:24,680
Speaker 3: because all right, this launched just a few days ago

122
00:07:24,800 --> 00:07:29,040
Speaker 3: as we're recording, on Wednesday, July twelfth, and it's only

123
00:07:29,600 --> 00:07:32,280
Speaker 3: three dollars, is like three dollars and ten cents. People

124
00:07:32,360 --> 00:07:34,120
Speaker 3: were saying it's a joke. They were saying it's a

125
00:07:34,160 --> 00:07:38,400
Speaker 3: viral grab, and then Burger King got kind of terse

126
00:07:38,800 --> 00:07:42,560
Speaker 3: on social media. They said, this is no joke.

127
00:07:42,880 --> 00:07:44,640
Speaker 4: This is fir. We stand behind this.

128
00:07:44,920 --> 00:07:49,840
Speaker 3: Yeah, we studied this, you guys. Twenty slices is.

129
00:07:49,800 --> 00:07:50,760
Speaker 4: The assible number.

130
00:07:51,000 --> 00:07:53,640
Speaker 2: They just need a rebrand. They've already got the whopper.

131
00:07:53,720 --> 00:07:55,920
Speaker 2: Let's just call it the Constanapator and we'll be done

132
00:07:55,920 --> 00:07:57,840
Speaker 2: with it. And people will go like, oh man, I

133
00:07:57,880 --> 00:07:59,080
Speaker 2: really need a constipator.

134
00:07:59,640 --> 00:08:03,200
Speaker 3: YEA different types of cheese, different guys of cheese would

135
00:08:03,240 --> 00:08:03,520
Speaker 3: be good.

136
00:08:03,640 --> 00:08:05,600
Speaker 4: Well, I mean, you know, there's obviously a market for

137
00:08:05,600 --> 00:08:08,840
Speaker 4: a good gourmet grilled cheeses, which is just bread and

138
00:08:08,920 --> 00:08:11,480
Speaker 4: lots of cheese. This isn't that much different. But when

139
00:08:11,520 --> 00:08:14,240
Speaker 4: you look at the marketing for it, the cheese slices

140
00:08:14,360 --> 00:08:17,080
Speaker 4: like stand as some sort of stack. But you know

141
00:08:17,160 --> 00:08:18,440
Speaker 4: that's not how it would come to you.

142
00:08:18,760 --> 00:08:19,640
Speaker 3: It would be a.

143
00:08:19,440 --> 00:08:23,239
Speaker 4: Melty, gooey mess. It would not look the way it does,

144
00:08:23,640 --> 00:08:26,920
Speaker 4: a perfect, you know, stack like Scooby Doo style of cheese.

145
00:08:27,240 --> 00:08:30,120
Speaker 4: Burger King also the past, has done things like the

146
00:08:30,160 --> 00:08:33,160
Speaker 4: Halloween Burger. I think it was like, yeah, black, you know,

147
00:08:33,320 --> 00:08:36,160
Speaker 4: black bun and all with squid ink or whatever. I mean.

148
00:08:36,160 --> 00:08:38,800
Speaker 4: Burger King has been kind of at the forefront of

149
00:08:38,880 --> 00:08:41,960
Speaker 4: weird viral marketing ever since they did the Weird King.

150
00:08:42,040 --> 00:08:42,840
Speaker 4: Remember the King, you.

151
00:08:42,920 --> 00:08:45,880
Speaker 3: Looked like a serial killer, The Creepy King. They also

152
00:08:47,000 --> 00:08:51,400
Speaker 3: got into clowns for a while back in twenty seventeen.

153
00:08:52,160 --> 00:08:55,760
Speaker 3: It gets weird. Okay, Google ads, it's very strange they

154
00:08:55,800 --> 00:08:59,960
Speaker 3: campaign for a Michelin star now that we have had

155
00:09:00,200 --> 00:09:03,160
Speaker 3: If you are in Thailand, please we have some upcoming

156
00:09:03,280 --> 00:09:05,360
Speaker 3: adventures in the part of the world and we would

157
00:09:05,400 --> 00:09:09,160
Speaker 3: love to hear how legit this burger is. If you

158
00:09:09,240 --> 00:09:13,120
Speaker 3: can tell us without risking your physical safety, let us

159
00:09:13,160 --> 00:09:15,800
Speaker 3: know what the king's opinion of burger king is.

160
00:09:16,400 --> 00:09:19,640
Speaker 4: Well, I would say it's not a burgers, it's a

161
00:09:19,720 --> 00:09:24,520
Speaker 4: cheese sandwich. It is requires some sort of patty, whether

162
00:09:24,559 --> 00:09:28,520
Speaker 4: it be veggie or whatever, some sort of formed patty thing.

163
00:09:28,600 --> 00:09:30,559
Speaker 4: This is a grilled cheese at best.

164
00:09:30,920 --> 00:09:33,520
Speaker 3: Yeah, and I know if they're even grilling it, but

165
00:09:34,040 --> 00:09:37,360
Speaker 3: the people, but people who do need to be grilled now,

166
00:09:37,559 --> 00:09:39,360
Speaker 3: and we'll keep this briefing because this may have to

167
00:09:39,360 --> 00:09:44,600
Speaker 3: be an episode. Is the government of Canada just going

168
00:09:44,679 --> 00:09:51,480
Speaker 3: into our strange news recording this evening earlier? Earlier today

169
00:09:51,679 --> 00:09:56,760
Speaker 3: I learned the news is out the Canadian government. Remember

170
00:09:56,800 --> 00:09:59,840
Speaker 3: we did the episode on residential schools, on things like

171
00:09:59,840 --> 00:10:03,040
Speaker 3: that Highway of Tears and just the terrible way the

172
00:10:03,040 --> 00:10:07,200
Speaker 3: government has treated First Nations and Indigenous people. It turns

173
00:10:07,200 --> 00:10:14,080
Speaker 3: out that they have been forcibly sterilizing Indigenous women incredibly recently,

174
00:10:14,480 --> 00:10:18,600
Speaker 3: Like as we were actively creating this show in secret,

175
00:10:18,640 --> 00:10:22,800
Speaker 3: they were they were forcibly sterilized women as recently as

176
00:10:22,840 --> 00:10:26,360
Speaker 3: four years ago. And I don't think a lot of

177
00:10:26,480 --> 00:10:28,120
Speaker 3: people in the US had any idea.

178
00:10:28,400 --> 00:10:29,439
Speaker 4: I certainly didn't.

179
00:10:29,760 --> 00:10:32,400
Speaker 2: I think probably a lot of people worldwide had no idea.

180
00:10:33,480 --> 00:10:35,840
Speaker 3: The story is still kind of coming out as far

181
00:10:35,880 --> 00:10:39,000
Speaker 3: as what consequences will be, Like, we are going to

182
00:10:39,120 --> 00:10:42,640
Speaker 3: keep our eye on it. This is an episode in

183
00:10:42,720 --> 00:10:46,520
Speaker 3: the future because the scary how yeah.

184
00:10:46,040 --> 00:10:49,480
Speaker 4: And they're rounding them up and doing this. This just

185
00:10:49,520 --> 00:10:53,559
Speaker 4: sounds like stuff that happened in the past, not anymore.

186
00:10:53,600 --> 00:10:56,040
Speaker 4: Like I don't even understand the mechanism by which this

187
00:10:56,120 --> 00:10:57,680
Speaker 4: is accomplished.

188
00:10:57,679 --> 00:11:01,040
Speaker 3: Right, Yeah, that's that's the problem. The we know that

189
00:11:01,120 --> 00:11:07,760
Speaker 3: a lot of developed countries had an incredibly dense and insidious,

190
00:11:08,520 --> 00:11:14,000
Speaker 3: active net of conspiracies to oppress Native people, to oppress

191
00:11:14,160 --> 00:11:18,400
Speaker 3: what they considered minorities. Canada obviously is no different. But

192
00:11:19,000 --> 00:11:22,360
Speaker 3: years decades after a lot of these other rich countries

193
00:11:22,520 --> 00:11:28,200
Speaker 3: stopped sterilizing indigenous women, the practice in Canada continued there's

194
00:11:28,320 --> 00:11:32,120
Speaker 3: currently five class action lawsuits going through the courts now

195
00:11:32,160 --> 00:11:34,480
Speaker 3: there are probably going to be more. I want to

196
00:11:34,520 --> 00:11:38,280
Speaker 3: shout out the AP medical writer Maria Chang, who did

197
00:11:38,280 --> 00:11:42,200
Speaker 3: the original reporting on this. They got picked up. The

198
00:11:42,240 --> 00:11:47,960
Speaker 3: Government of Canada had concluded that quote, this horrific practice

199
00:11:48,040 --> 00:11:51,520
Speaker 3: is not confined to the past, but is clearly continuing today.

200
00:11:52,160 --> 00:11:55,760
Speaker 3: In May, a doctor was, as AP describes it, penalized

201
00:11:56,200 --> 00:12:01,840
Speaker 3: for forcibly sterilizing an Indigenous patient in twenty nineteen. That's

202
00:12:01,880 --> 00:12:05,600
Speaker 3: how recent this is. And right now, this like, because

203
00:12:05,640 --> 00:12:08,640
Speaker 3: this came out, there are no solid estimates on how

204
00:12:08,679 --> 00:12:13,319
Speaker 3: many people were affected by this. This is like removing

205
00:12:14,040 --> 00:12:17,760
Speaker 3: their bloodlines essentially, right, I.

206
00:12:17,800 --> 00:12:20,280
Speaker 4: Mean, it's a it's not I don't want to be

207
00:12:20,360 --> 00:12:23,640
Speaker 4: hyperbolic and call it genocide. It's not the same thing exactly,

208
00:12:23,679 --> 00:12:27,040
Speaker 4: but it is a form of population control and trying

209
00:12:27,080 --> 00:12:33,160
Speaker 4: to wipe out an unwanted element, you know, from society,

210
00:12:33,400 --> 00:12:36,199
Speaker 4: and you know, you usually think of the Canadians as

211
00:12:36,200 --> 00:12:40,080
Speaker 4: being so chill. We keep running into stories that says otherwise.

212
00:12:41,080 --> 00:12:45,160
Speaker 4: Have either of y'all seen the show Reservation Dogs, Yes,

213
00:12:45,240 --> 00:12:48,080
Speaker 4: on FX. I've only watched a few episodes, and I

214
00:12:48,080 --> 00:12:53,439
Speaker 4: think it's great, but it is a story about indigenous

215
00:12:53,720 --> 00:12:56,880
Speaker 4: people and that those stories are not often told, and

216
00:12:57,120 --> 00:12:59,720
Speaker 4: those folks are not often featured, you know, as the

217
00:12:59,760 --> 00:13:04,560
Speaker 4: star of their own series. It is created by Sterlin

218
00:13:04,800 --> 00:13:08,600
Speaker 4: Harjo and Taiko Atititi, who of course is also in

219
00:13:08,960 --> 00:13:12,959
Speaker 4: part of an indigenous culture in New Zealand. I recommend

220
00:13:13,000 --> 00:13:14,920
Speaker 4: everybody checking it out, you know, I think it's an

221
00:13:14,920 --> 00:13:15,600
Speaker 4: important show.

222
00:13:15,920 --> 00:13:18,560
Speaker 3: Yeah, for the readers in the crowd. If you like horror.

223
00:13:18,720 --> 00:13:22,400
Speaker 3: There's an excellent Native writer here in the US who

224
00:13:22,679 --> 00:13:27,440
Speaker 3: I've actually interviewed him for some previous horror related things.

225
00:13:27,440 --> 00:13:32,079
Speaker 3: His name is Stephen Graham Jones. Awesome, awesome writer. Check

226
00:13:32,160 --> 00:13:35,680
Speaker 3: him out, and also check out this AP article because

227
00:13:35,920 --> 00:13:37,480
Speaker 3: you know, a lot of folks don't think about it

228
00:13:37,480 --> 00:13:42,080
Speaker 3: here in the US, but Uncle Sam was forcibly sterilizing

229
00:13:42,280 --> 00:13:46,239
Speaker 3: Native American women all the way up until the nineteen seventies.

230
00:13:46,400 --> 00:13:48,760
Speaker 3: History is way closer than it looks in the rear

231
00:13:48,840 --> 00:13:52,720
Speaker 3: view mirror. And this may sound you mentioned the idea

232
00:13:52,760 --> 00:13:56,400
Speaker 3: of it being hyperbolic to call this stuff genocide, but

233
00:13:56,559 --> 00:14:01,440
Speaker 3: Prime Minister Justin Trudeau also said was genocide in twenty

234
00:14:01,559 --> 00:14:06,400
Speaker 3: nineteen and since then, since those speeches and those grand

235
00:14:06,720 --> 00:14:12,200
Speaker 3: barnstorming declarations. Critics say very little has been done past

236
00:14:13,160 --> 00:14:17,000
Speaker 3: past lip service, which unfortunately is a tail as old

237
00:14:17,040 --> 00:14:19,720
Speaker 3: as time. This is kind of a clarion call for

238
00:14:19,840 --> 00:14:24,120
Speaker 3: our Canadian conspiracy realist. We would love to hear your

239
00:14:24,200 --> 00:14:28,160
Speaker 3: reports on the ground about what is going on, how

240
00:14:28,280 --> 00:14:32,800
Speaker 3: this is being handled in Canadian media by the Canadian

241
00:14:32,800 --> 00:14:35,920
Speaker 3: government in your neck of the global woods, and what

242
00:14:36,200 --> 00:14:41,240
Speaker 3: you think the correct next steps should be and whether

243
00:14:41,280 --> 00:14:45,440
Speaker 3: you think those steps are going to be enacted. Like

244
00:14:45,520 --> 00:14:49,720
Speaker 3: we said, there's a grab bag. So this future episode

245
00:14:49,840 --> 00:14:51,960
Speaker 3: is going to depend on help from you, folks. And

246
00:14:52,600 --> 00:14:54,800
Speaker 3: the last thing which I don't want to say almost

247
00:14:54,840 --> 00:14:58,440
Speaker 3: anything about before we throw to our first ad break

248
00:14:58,800 --> 00:15:04,480
Speaker 3: is a guy named Luffed. He was This might be

249
00:15:04,520 --> 00:15:06,480
Speaker 3: familiar to some people who have been following that Hunter

250
00:15:06,560 --> 00:15:10,600
Speaker 3: Biden saga. He was a guy who said that the

251
00:15:10,720 --> 00:15:15,600
Speaker 3: Biden family specifically was in deep with China. It was

252
00:15:15,600 --> 00:15:19,800
Speaker 3: a Chinese asset. He's currently a fugitive on the run

253
00:15:20,040 --> 00:15:24,320
Speaker 3: from the doj on suspicion of being a Chinese asset himself.

254
00:15:24,640 --> 00:15:28,800
Speaker 4: Wow, accuse the other of that which you yourself are

255
00:15:28,800 --> 00:15:29,400
Speaker 4: guilty of.

256
00:15:29,800 --> 00:15:34,840
Speaker 3: Yeah, he is a dual US Israeli citizen. He evaded

257
00:15:35,000 --> 00:15:37,320
Speaker 3: a couple of Like we talked about this in the past,

258
00:15:37,320 --> 00:15:41,240
Speaker 3: of the Foreign Agent Registration Act, Like it's totally cool

259
00:15:41,480 --> 00:15:44,960
Speaker 3: to rep another country in the US and pursue their interests,

260
00:15:45,360 --> 00:15:48,280
Speaker 3: but Uncle Sam wants you to be upfront and honest

261
00:15:48,320 --> 00:15:52,080
Speaker 3: about it. He's also been charged with arm trafficking. He

262
00:15:52,160 --> 00:15:55,320
Speaker 3: disappeared in Cyprus. He says it's all a stitch up

263
00:15:55,360 --> 00:15:58,520
Speaker 3: game and that he the FBI is trying to shut

264
00:15:58,600 --> 00:16:02,760
Speaker 3: him down through the DOJ because he told them because

265
00:16:02,760 --> 00:16:04,320
Speaker 3: he blew the whistle on the bidens.

266
00:16:04,600 --> 00:16:07,520
Speaker 4: I'm sorry, man, I'm a dummy asthetics. I hear arm

267
00:16:07,560 --> 00:16:11,120
Speaker 4: trafficking and I'm thinking of body brokers. But you're referring

268
00:16:11,120 --> 00:16:15,680
Speaker 4: to aren't like armaments? Yeah, yeah, of course, yes.

269
00:16:16,160 --> 00:16:18,800
Speaker 2: It sounds like all of them are. What if all

270
00:16:18,840 --> 00:16:19,760
Speaker 2: of them are assets?

271
00:16:20,080 --> 00:16:22,680
Speaker 3: I was wondering that too, man, What if everybody are

272
00:16:22,680 --> 00:16:25,720
Speaker 3: you a Chinese asset? Are we doing like a don't ask,

273
00:16:25,760 --> 00:16:26,320
Speaker 3: don't tell on this?

274
00:16:26,480 --> 00:16:28,560
Speaker 2: No? What I mean? Like that whole It would be

275
00:16:28,680 --> 00:16:31,560
Speaker 2: really interesting if the guy who came out to like

276
00:16:31,680 --> 00:16:35,840
Speaker 2: blow the whistle is actually the thing that he's blowing

277
00:16:35,840 --> 00:16:39,240
Speaker 2: the whistle on them about but it's because he's like

278
00:16:39,360 --> 00:16:43,240
Speaker 2: operating into who knows who knows which side he's actually

279
00:16:43,240 --> 00:16:46,560
Speaker 2: working for if he's got that many alliances or you know,

280
00:16:46,600 --> 00:16:48,560
Speaker 2: what's his who is allegiance really too?

281
00:16:48,960 --> 00:16:51,680
Speaker 3: Right? Right? You get to that very murky world of

282
00:16:51,800 --> 00:16:56,360
Speaker 3: trade craft pretty quick, like how many double crosses happen

283
00:16:56,640 --> 00:16:59,080
Speaker 3: until you're all kind of just working together?

284
00:16:59,600 --> 00:16:59,840
Speaker 4: Right.

285
00:17:00,320 --> 00:17:03,200
Speaker 3: So it's a good question, and it's something we would

286
00:17:03,200 --> 00:17:05,600
Speaker 3: also like your thoughts on one eight three three std

287
00:17:05,760 --> 00:17:09,800
Speaker 3: WYTK Conspiracydiheartradio dot Com. We're gonna pause for word from

288
00:17:09,800 --> 00:17:14,080
Speaker 3: our sponsor. We'll be back with episodes on these stories more.

289
00:17:14,359 --> 00:17:16,960
Speaker 3: But before then, who buddy.

290
00:17:16,800 --> 00:17:25,639
Speaker 4: We got to go to Twitter, and we're back with

291
00:17:25,760 --> 00:17:29,200
Speaker 4: another piece of strange news. Ben, you nailed it, teased

292
00:17:29,240 --> 00:17:32,119
Speaker 4: it before the break. It's about Twitter. I don't know

293
00:17:32,640 --> 00:17:35,320
Speaker 4: if you' all out there in conspiracy realist land have

294
00:17:35,359 --> 00:17:37,960
Speaker 4: been paying attention. You probably have. Twitter's been going through

295
00:17:38,000 --> 00:17:44,120
Speaker 4: some changes ever since our boy, Elon Musk was forced

296
00:17:44,160 --> 00:17:46,520
Speaker 4: by the government to buy it. The way it kind

297
00:17:46,560 --> 00:17:48,919
Speaker 4: of played out, it sort of feels like he was

298
00:17:49,600 --> 00:17:53,880
Speaker 4: flexing a bit, trying to you know, stir or whatever,

299
00:17:54,040 --> 00:17:58,960
Speaker 4: and then went a little too far and was literally

300
00:17:59,040 --> 00:18:03,479
Speaker 4: forced to conclude a deal that saddled him with Twitter,

301
00:18:03,720 --> 00:18:06,240
Speaker 4: a company that is notoriously well I not notoriously, but

302
00:18:06,280 --> 00:18:10,520
Speaker 4: that is historically been unable to turn much of a profit.

303
00:18:11,920 --> 00:18:15,639
Speaker 4: He's mega mega and debts billions in debts. Obviously, he

304
00:18:15,920 --> 00:18:18,400
Speaker 4: is worth a lot of money, so it's not as

305
00:18:18,400 --> 00:18:20,840
Speaker 4: big a deal to him, but still he has been

306
00:18:20,880 --> 00:18:23,880
Speaker 4: doing everything he possibly can to make the company turn

307
00:18:23,920 --> 00:18:26,840
Speaker 4: a profit, much to the chagrin of people who have

308
00:18:27,119 --> 00:18:30,480
Speaker 4: really loved and relied on Twitter, not the least of

309
00:18:30,520 --> 00:18:32,920
Speaker 4: which is the whole idea of being able to purchase

310
00:18:33,040 --> 00:18:36,560
Speaker 4: that coveted blue check mark, essentially rendering it useless in

311
00:18:36,640 --> 00:18:39,879
Speaker 4: terms of identifying who actual people are, all kinds of

312
00:18:39,880 --> 00:18:43,159
Speaker 4: shenanigan surrounding that, and joke accounts popping up you know,

313
00:18:43,480 --> 00:18:46,639
Speaker 4: will look alike accounts that are like, you know, making

314
00:18:46,640 --> 00:18:48,800
Speaker 4: a mockery of the whole thing. So Elon has not

315
00:18:49,200 --> 00:18:52,399
Speaker 4: come out looking super good in many of the decisions,

316
00:18:52,960 --> 00:18:54,879
Speaker 4: if not all, the decisions he has made.

317
00:18:55,080 --> 00:19:00,520
Speaker 3: Yeah, answering answering media request with the poop emoji, cutting

318
00:19:01,119 --> 00:19:07,120
Speaker 3: essential staff, Twitter's version of essential workers. Asking Mark Zuckerberg

319
00:19:07,240 --> 00:19:12,920
Speaker 3: in all honesty if they could measure each other's penises. Yeah,

320
00:19:13,040 --> 00:19:17,240
Speaker 3: not exactly Fortune five hundred stuff, right, tell anyone.

321
00:19:17,400 --> 00:19:20,520
Speaker 4: Not particularly subtle either. And you know, Elon Musk is

322
00:19:20,560 --> 00:19:25,160
Speaker 4: his whole deal is that he is an unapologetic supporter

323
00:19:25,359 --> 00:19:29,359
Speaker 4: of free speech, and that is what he wants to

324
00:19:29,800 --> 00:19:33,159
Speaker 4: promote on Twitter is make it a place of complete

325
00:19:33,200 --> 00:19:39,840
Speaker 4: and unfettered free speech, which unfortunately means hate speech. Ever

326
00:19:39,880 --> 00:19:43,440
Speaker 4: since Elon took over, the proliferation of hate speech, which

327
00:19:43,440 --> 00:19:45,600
Speaker 4: was already a problem on Twitter, that was, you know,

328
00:19:45,640 --> 00:19:49,760
Speaker 4: being handled. There were whole teams devoted to dealing with

329
00:19:49,800 --> 00:19:51,800
Speaker 4: that kind of stuff and making sure that those kinds

330
00:19:51,840 --> 00:19:54,280
Speaker 4: of things were dealt with in terms of services and

331
00:19:54,320 --> 00:19:57,359
Speaker 4: all of that. But now it seems like a like

332
00:19:57,400 --> 00:20:01,760
Speaker 4: a massive free for all and just hates beach running rampant.

333
00:20:01,880 --> 00:20:04,960
Speaker 4: And you know, he had a whole debacle over fourth

334
00:20:05,000 --> 00:20:07,520
Speaker 4: of July weekend where he was trying to I don't

335
00:20:07,520 --> 00:20:12,800
Speaker 4: know exactly what he did specifically, but essentially it amounted

336
00:20:12,840 --> 00:20:16,880
Speaker 4: to doing a denial of service attack on his own

337
00:20:16,920 --> 00:20:20,520
Speaker 4: company in order to he said, he accused you know,

338
00:20:20,680 --> 00:20:23,720
Speaker 4: other companies of like scraping them for data. So he

339
00:20:23,800 --> 00:20:26,840
Speaker 4: basically made it where you could only certain users that

340
00:20:26,880 --> 00:20:28,639
Speaker 4: didn't have the blue check mark could only look at

341
00:20:28,680 --> 00:20:31,280
Speaker 4: tweets a certain number of times per day, and people

342
00:20:31,280 --> 00:20:32,679
Speaker 4: that did have it could look at it more. It

343
00:20:32,720 --> 00:20:35,840
Speaker 4: seems like his goal was to make it where you

344
00:20:35,960 --> 00:20:38,439
Speaker 4: had to be logged in to use Twitter, or to

345
00:20:38,560 --> 00:20:40,720
Speaker 4: maybe encourage more people to buy the blue check mark.

346
00:20:40,760 --> 00:20:44,040
Speaker 4: But that's not what we're talking about today. Mark Zuckerberg

347
00:20:44,520 --> 00:20:48,399
Speaker 4: fast tracked. It would seem a Twitter clone that also

348
00:20:48,520 --> 00:20:51,680
Speaker 4: was pushed out over fourth of July weekend called Threads

349
00:20:52,640 --> 00:20:55,440
Speaker 4: because of the fact that it's linked directly to Instagram

350
00:20:55,440 --> 00:20:58,080
Speaker 4: people's Instagram accounts, and it was really easy, just by

351
00:20:58,119 --> 00:21:01,480
Speaker 4: the click of a button to make a Thread's account

352
00:21:01,560 --> 00:21:04,800
Speaker 4: and immediately be following anybody that you're already following on

353
00:21:04,840 --> 00:21:09,719
Speaker 4: Instagram on Threads. Instagram being a platform that has, I

354
00:21:09,760 --> 00:21:12,720
Speaker 4: believe approaching a billion users, one of the most popular

355
00:21:12,800 --> 00:21:15,040
Speaker 4: social media platforms in the world.

356
00:21:15,119 --> 00:21:17,040
Speaker 3: Yeah, two point three five billion.

357
00:21:17,160 --> 00:21:19,959
Speaker 4: Oh wow, Okay, so surpassing a billion two point three

358
00:21:20,000 --> 00:21:23,959
Speaker 4: to five billion. This was a really crafty way of

359
00:21:24,080 --> 00:21:28,640
Speaker 4: getting a massive amount of users very quickly, uh and

360
00:21:28,920 --> 00:21:32,600
Speaker 4: essentially surpassed Twitter. Because Twitter has always been a bit

361
00:21:32,640 --> 00:21:34,800
Speaker 4: more of a niche kind of service, you know, and

362
00:21:34,840 --> 00:21:38,160
Speaker 4: people like it because it has a certain vibe. It's

363
00:21:38,160 --> 00:21:42,000
Speaker 4: obviously been very important in world events, you know, like

364
00:21:42,040 --> 00:21:44,840
Speaker 4: the Arab Spring and the ability of people to speak

365
00:21:44,840 --> 00:21:49,199
Speaker 4: truth to power on it. Well, this whole idea of

366
00:21:49,240 --> 00:21:52,120
Speaker 4: Elon being a proponent of free speech and that sort

367
00:21:52,119 --> 00:21:55,280
Speaker 4: of being the selling point of what Twitter is us

368
00:21:55,480 --> 00:21:59,399
Speaker 4: has taken a very interesting turn in that the Taliban

369
00:21:59,800 --> 00:22:06,200
Speaker 4: has come out in full throated support of Twitter, saying, hey,

370
00:22:06,680 --> 00:22:09,120
Speaker 4: we're not don't worry about us, Elon, we got your back.

371
00:22:09,119 --> 00:22:11,919
Speaker 4: We're not going to threads because Meta, the company that

372
00:22:11,960 --> 00:22:16,000
Speaker 4: of course used to be Facebook, is intolerant.

373
00:22:15,520 --> 00:22:18,520
Speaker 3: Right Well, talbugs with Twitter for the free speech.

374
00:22:18,680 --> 00:22:21,159
Speaker 4: They like the free speech it says. There was a

375
00:22:21,200 --> 00:22:25,840
Speaker 4: statement from I believe sort of a philosophical leader in

376
00:22:25,880 --> 00:22:28,639
Speaker 4: the Taliban, a guy by the name of Annas Hakani

377
00:22:29,359 --> 00:22:32,359
Speaker 4: yeahs described in this Vice article as a thought leader

378
00:22:32,920 --> 00:22:37,200
Speaker 4: with family connections to higher up leadership. He came out

379
00:22:37,280 --> 00:22:40,960
Speaker 4: in a tweet in support of Twitter saying Twitter has

380
00:22:41,000 --> 00:22:44,720
Speaker 4: two important advantages over other social media platforms. The first

381
00:22:44,880 --> 00:22:47,400
Speaker 4: is English language post. By the way, the first privilege

382
00:22:47,440 --> 00:22:49,919
Speaker 4: is the freedom of speech. The second privilege is the

383
00:22:49,960 --> 00:22:54,560
Speaker 4: public nature and credibility of Twitter. Twitter doesn't have an

384
00:22:54,600 --> 00:23:02,199
Speaker 4: intolerant policy like Meta, other platforms cannot replace it. So yeah,

385
00:23:02,440 --> 00:23:07,639
Speaker 4: depending on your view of the Taliban, the idea that

386
00:23:07,680 --> 00:23:10,640
Speaker 4: they're talking about, I mean, aren't they kind of intolerant

387
00:23:10,720 --> 00:23:12,560
Speaker 4: by their very nature?

388
00:23:13,400 --> 00:23:15,560
Speaker 3: The Taliban? Yeah, thy tongue.

389
00:23:15,920 --> 00:23:19,040
Speaker 4: Yeah, and just full disclosure. You know, I often, I

390
00:23:19,040 --> 00:23:21,399
Speaker 4: think probably because neither of these groups have been in

391
00:23:21,440 --> 00:23:23,760
Speaker 4: the news nearly as much as they were, you know,

392
00:23:23,800 --> 00:23:27,320
Speaker 4: in my twenties. In my head, I sometimes conflate the

393
00:23:27,359 --> 00:23:29,400
Speaker 4: Taliban with al Qaeda, and I know there are two

394
00:23:29,600 --> 00:23:32,560
Speaker 4: Muslim extremist groups. They have some things in common, but

395
00:23:32,560 --> 00:23:35,800
Speaker 4: they also have many things that are very different about them.

396
00:23:36,080 --> 00:23:38,200
Speaker 4: So if we could just maybe Ben help esty, let's

397
00:23:38,200 --> 00:23:40,360
Speaker 4: do a little bit of a background on the Taliban.

398
00:23:40,640 --> 00:23:45,000
Speaker 3: Sure. Yeah, So the Taliban kind of starts as a

399
00:23:45,280 --> 00:23:49,879
Speaker 3: movement of religious students from some specific parts of Afghanistan,

400
00:23:49,880 --> 00:23:54,360
Speaker 3: and they were instructed in traditional Islamic schools. It's very

401
00:23:54,440 --> 00:23:58,360
Speaker 3: common for this time, and they saw a lot of

402
00:23:58,720 --> 00:24:05,200
Speaker 3: horrific things in Afghanistan was a proxy battlefield for Russia

403
00:24:05,240 --> 00:24:09,440
Speaker 3: and for the US, and it's been constantly besieged by

404
00:24:10,080 --> 00:24:15,719
Speaker 3: outside powers. Throughout much of modern history. What they wanted

405
00:24:15,720 --> 00:24:19,360
Speaker 3: to do was, originally, do they come from what's called

406
00:24:19,400 --> 00:24:25,680
Speaker 3: Pashtun nationalism, Let's have a government or a governing system,

407
00:24:25,840 --> 00:24:29,639
Speaker 3: a regime for the people who live here, by the

408
00:24:29,680 --> 00:24:33,439
Speaker 3: people who live here. The name Taliban literally means something

409
00:24:33,560 --> 00:24:37,800
Speaker 3: like seekers of knowledge or students of Islam. But they

410
00:24:37,840 --> 00:24:41,920
Speaker 3: have been off and on supported by the CIA, by

411
00:24:42,040 --> 00:24:47,520
Speaker 3: the ISI, which is like the Pakistani CIA. We've mentioned

412
00:24:47,560 --> 00:24:51,359
Speaker 3: them in the past because they had done things like

413
00:24:53,040 --> 00:24:56,760
Speaker 3: crack down on the opium trade. Right poppies are huge,

414
00:24:57,320 --> 00:25:00,760
Speaker 3: huge cash crop in that part of the world. It

415
00:25:00,840 --> 00:25:06,320
Speaker 3: They also are notorious now for going back on their word.

416
00:25:06,400 --> 00:25:10,840
Speaker 3: When they became, for all intents and purposes, the state

417
00:25:10,920 --> 00:25:15,320
Speaker 3: government of Afghanistan, they claimed that they were going to

418
00:25:15,400 --> 00:25:21,200
Speaker 3: have some slightly more progressive social policies, and they went

419
00:25:21,240 --> 00:25:24,920
Speaker 3: back on them almost immediately. The treatment of women by

420
00:25:24,960 --> 00:25:31,119
Speaker 3: the Taliban government is absolutely horrendous and inhumane. There are

421
00:25:31,160 --> 00:25:35,880
Speaker 3: still lots of restrictions on employment, closing down schools. It's

422
00:25:36,080 --> 00:25:41,480
Speaker 3: just a it's our heartbreaking and in my head, unsustainable situation.

423
00:25:41,640 --> 00:25:44,720
Speaker 3: But that's the broad strokes of the Taliban. Like you said,

424
00:25:44,760 --> 00:25:46,920
Speaker 3: there's a lot more to get into, and it gets

425
00:25:46,960 --> 00:25:50,560
Speaker 3: into the murky world of geopolitics very quickly.

426
00:25:50,840 --> 00:25:52,920
Speaker 2: It is weird to think about the Taliban now as

427
00:25:53,000 --> 00:25:56,240
Speaker 2: more of a state government than anything else, because once

428
00:25:56,280 --> 00:26:01,359
Speaker 2: the US pulled out in twenty twenty one, this enemy

429
00:26:01,400 --> 00:26:05,240
Speaker 2: that we've been fighting since we invaded, you know, twenty

430
00:26:05,320 --> 00:26:08,760
Speaker 2: years before that, and now they pretty much run the

431
00:26:08,760 --> 00:26:12,320
Speaker 2: whole show there and there. It's this isn't a full

432
00:26:12,400 --> 00:26:15,439
Speaker 2: representative of the Taliban that's making this statement, right, this

433
00:26:15,520 --> 00:26:18,600
Speaker 2: is somebody who is who who is a high you know,

434
00:26:18,640 --> 00:26:20,560
Speaker 2: who's high up there in as you said, as a

435
00:26:20,560 --> 00:26:23,560
Speaker 2: thought leader. But it's a state government basically saying no,

436
00:26:23,600 --> 00:26:26,399
Speaker 2: we're going to use Twitter because all these other platforms

437
00:26:26,440 --> 00:26:28,960
Speaker 2: won't have us. Basically, it's very weird.

438
00:26:29,160 --> 00:26:32,240
Speaker 3: He's like the Steve Bannon. He's kind of like interesting.

439
00:26:32,359 --> 00:26:35,320
Speaker 3: He's I think the language they use in some of

440
00:26:35,359 --> 00:26:38,200
Speaker 3: the reporting is he has to do government portfolio, which

441
00:26:38,320 --> 00:26:40,199
Speaker 3: is just a fancy way of saying he doesn't have

442
00:26:40,240 --> 00:26:45,200
Speaker 3: an official government position, but he's hanging heavy with those

443
00:26:45,200 --> 00:26:46,000
Speaker 3: decision makers.

444
00:26:46,240 --> 00:26:50,600
Speaker 4: Yeah. In fact, in this Vice article by Matthew Galt,

445
00:26:50,680 --> 00:26:54,360
Speaker 4: there's a little I guess correction they did. It says

446
00:26:54,359 --> 00:26:57,160
Speaker 4: this article originally called Hakanie a leader of the Taliban.

447
00:26:57,240 --> 00:26:59,960
Speaker 4: His role is more philosophical, that's how they describe it.

448
00:27:00,320 --> 00:27:04,240
Speaker 4: But Matt, you're exactly right. Facebook and TikTok both internally

449
00:27:04,480 --> 00:27:08,320
Speaker 4: see the Taliban as a terrorist organization, which is interesting considering,

450
00:27:08,520 --> 00:27:11,000
Speaker 4: you know, your point been that they are also a government.

451
00:27:11,920 --> 00:27:14,199
Speaker 4: So they've they've been banned for some time, and that

452
00:27:14,280 --> 00:27:18,080
Speaker 4: band is still very much in place. But the Taliban

453
00:27:18,320 --> 00:27:23,480
Speaker 4: has historically, or at least in recent history, leaned pretty

454
00:27:23,520 --> 00:27:27,840
Speaker 4: heavily on using social media to push their agenda. In

455
00:27:27,920 --> 00:27:30,680
Speaker 4: fact that in the article by Galt, he points out

456
00:27:30,680 --> 00:27:34,800
Speaker 4: that some Taliban fighters have kind of griped a little

457
00:27:34,800 --> 00:27:36,800
Speaker 4: bit about the fact that they're spending more time in

458
00:27:36,800 --> 00:27:39,840
Speaker 4: front of the computer, you know, waging information war than

459
00:27:39,840 --> 00:27:42,119
Speaker 4: they are actually out you know, in the field, you know,

460
00:27:42,160 --> 00:27:43,440
Speaker 4: waging actual.

461
00:27:44,680 --> 00:27:49,119
Speaker 3: It is especially, i mean funny in a very specific

462
00:27:49,200 --> 00:27:52,760
Speaker 3: dark way because a lot of times in some of

463
00:27:52,800 --> 00:27:56,359
Speaker 3: these extremistfactions, like they're people don't want to hear this,

464
00:27:56,600 --> 00:28:03,440
Speaker 3: but these tremendously evil organizations, members or people who join

465
00:28:03,560 --> 00:28:08,760
Speaker 3: those have reasons that from their perspective, are valid, you know,

466
00:28:08,880 --> 00:28:12,960
Speaker 3: like foreign oppressors killed by family things, like that right,

467
00:28:13,320 --> 00:28:19,320
Speaker 3: push people toward radicalization and extremism, and imagine having made

468
00:28:19,320 --> 00:28:23,000
Speaker 3: that decision to yourself that you are going to sacrifice

469
00:28:23,040 --> 00:28:26,920
Speaker 3: your own life for greater good. And your first day

470
00:28:26,960 --> 00:28:29,800
Speaker 3: on the job, they say, okay, you're in charge of

471
00:28:29,840 --> 00:28:33,520
Speaker 3: these Twitter bought accounts. We have lunch at eleven forty

472
00:28:33,560 --> 00:28:37,680
Speaker 3: five sharp. You get two fifteen minute breaks throughout the day.

473
00:28:37,920 --> 00:28:41,000
Speaker 4: Wasn't there a thing recently where like Taliban fighters went

474
00:28:41,080 --> 00:28:43,200
Speaker 4: on like a day trip and we're riding like swan

475
00:28:43,280 --> 00:28:45,320
Speaker 4: boats and stuff at some kind of amusement park.

476
00:28:45,440 --> 00:28:46,440
Speaker 3: Oh I didn't see that one.

477
00:28:46,520 --> 00:28:48,800
Speaker 4: I think that's right. And they're like holding machine guns.

478
00:28:48,880 --> 00:28:51,440
Speaker 4: I mean maybe I'm pretty sure that it was the Taliban.

479
00:28:51,640 --> 00:28:53,520
Speaker 4: They like it. I think it was another Vice article

480
00:28:53,560 --> 00:28:56,840
Speaker 4: where I have these incredible photographs of these It reminds

481
00:28:56,880 --> 00:28:58,880
Speaker 4: me of like the picture of Billy Corgan looking really

482
00:28:58,880 --> 00:29:01,400
Speaker 4: sad on a roller coaster. But this is like, you know,

483
00:29:01,520 --> 00:29:05,600
Speaker 4: fully garbed up Taliban fighters with heavy weaponry riding around

484
00:29:05,600 --> 00:29:08,959
Speaker 4: on like Tunnel of Love type swan boats at some

485
00:29:09,000 --> 00:29:13,040
Speaker 4: sort of amusement park. Very very surreal stuff. But in

486
00:29:13,080 --> 00:29:18,320
Speaker 4: the article on Vice, Aram Shabanian, who is in Occent

487
00:29:18,560 --> 00:29:23,880
Speaker 4: manager at New Lines Institute, which is essentially a open

488
00:29:23,920 --> 00:29:27,320
Speaker 4: source kind of fact. Open source information gathering is what

489
00:29:27,400 --> 00:29:32,280
Speaker 4: that stands for. Yeah, strategy, Yeah, exactly. He was quoted

490
00:29:32,400 --> 00:29:36,360
Speaker 4: as saying that he was surprised that the Taliban would

491
00:29:36,440 --> 00:29:41,120
Speaker 4: endorse the quote up and coming warlordism of elon Musk's Twitter.

492
00:29:42,000 --> 00:29:44,160
Speaker 4: I don't know if he's being funny or koy there,

493
00:29:44,480 --> 00:29:47,720
Speaker 4: but it's a cool quote. And you know, lately, Musk

494
00:29:47,760 --> 00:29:51,000
Speaker 4: has been going pretty ham on liking and retweeting and

495
00:29:51,040 --> 00:29:55,440
Speaker 4: responding to anyone that throws shade at Mark Zuckerberg. He

496
00:29:55,520 --> 00:29:57,840
Speaker 4: called him Zuck the Kuck or whatever, and you know,

497
00:29:57,880 --> 00:30:01,240
Speaker 4: a lot of like schoolyard bully kind of but kind

498
00:30:01,280 --> 00:30:04,160
Speaker 4: of doubt that he's retweeting this Taliban thing. Might be

499
00:30:04,240 --> 00:30:07,240
Speaker 4: a bridge too far or a little too on the

500
00:30:07,280 --> 00:30:10,120
Speaker 4: nose of you know, how people are starting to view Musk,

501
00:30:10,520 --> 00:30:14,600
Speaker 4: but definitely a sign of the direction that Twitter is heading.

502
00:30:15,200 --> 00:30:16,880
Speaker 4: So I don't know if you guys had anything else

503
00:30:16,920 --> 00:30:20,760
Speaker 4: to add before we move on, but interesting story, and honestly,

504
00:30:20,800 --> 00:30:25,800
Speaker 4: we probably do our due for a Twitter story, because boy,

505
00:30:25,920 --> 00:30:28,200
Speaker 4: the history of it in and of itself, you know

506
00:30:28,320 --> 00:30:31,280
Speaker 4: where it came from, and now where it's ended up

507
00:30:32,200 --> 00:30:34,960
Speaker 4: pretty fascinating stuff and on a very short timeline.

508
00:30:35,000 --> 00:30:40,680
Speaker 3: So agreed, agreed, And it's happening so quickly, right because

509
00:30:40,720 --> 00:30:45,400
Speaker 3: the feedback loops are tighter and tighter and tighter. And

510
00:30:46,000 --> 00:30:50,640
Speaker 3: what you know, the idea of a terrorist group becoming

511
00:30:50,680 --> 00:30:55,800
Speaker 3: a government, Noel Matt. Just to throw in one thing

512
00:30:55,840 --> 00:30:59,920
Speaker 3: that might ruffle from feathers here, the United States was

513
00:31:00,040 --> 00:31:02,800
Speaker 3: started by a terrorist group. As far as the rest

514
00:31:02,840 --> 00:31:04,560
Speaker 3: of the world was concerned.

515
00:31:04,400 --> 00:31:08,840
Speaker 4: One person's terrorist group is another person's freedom fighter or liberator.

516
00:31:08,960 --> 00:31:12,720
Speaker 4: You know, We've always said that. And honestly, the Nazis

517
00:31:12,760 --> 00:31:16,880
Speaker 4: were a terrorist group, you know, who governed a country.

518
00:31:17,080 --> 00:31:19,760
Speaker 4: I was doing some googling or just some rabbit holing

519
00:31:19,800 --> 00:31:23,240
Speaker 4: on the Nazis yesterday, just like you do. I think

520
00:31:23,280 --> 00:31:25,360
Speaker 4: I think it was Gebels. I mentioned in the last

521
00:31:25,360 --> 00:31:29,520
Speaker 4: segment this quote accused the other of that which you yourself

522
00:31:29,280 --> 00:31:32,760
Speaker 4: are guilty of. It's just as like, you know, propaganda technique,

523
00:31:32,800 --> 00:31:34,320
Speaker 4: you know, and it's something that we're seeing a lot

524
00:31:34,360 --> 00:31:37,520
Speaker 4: in certain political rhetoric these days. And I didn't realize

525
00:31:37,520 --> 00:31:40,560
Speaker 4: that Gebels and his wife poisoned all of their children

526
00:31:40,880 --> 00:31:44,480
Speaker 4: mm hm, and then took their own lives. I mean,

527
00:31:44,720 --> 00:31:48,640
Speaker 4: just monstrous, monstrous people. But God, sorry to leave on

528
00:31:48,680 --> 00:31:51,120
Speaker 4: such a bummer, but definitely going to keep an eye

529
00:31:51,120 --> 00:31:53,920
Speaker 4: on this Twitter situation and maybe we can talk about

530
00:31:53,960 --> 00:31:56,080
Speaker 4: doing a deeper dive into it. But let's take a break.

531
00:31:56,120 --> 00:31:57,680
Speaker 4: You're a word more sponsor, and then come back with

532
00:31:57,720 --> 00:32:05,360
Speaker 4: one more piece of strange news.

533
00:32:05,560 --> 00:32:08,600
Speaker 2: And we've returned a couple quick updates. Guys, do you

534
00:32:08,600 --> 00:32:11,600
Speaker 2: remember back in December twenty twenty two he made one

535
00:32:11,640 --> 00:32:14,800
Speaker 2: of these Strange News episodes and we talked about how

536
00:32:15,200 --> 00:32:20,280
Speaker 2: there were several very popular tax filing websites like Taxlayer,

537
00:32:20,480 --> 00:32:22,960
Speaker 2: hn R Block and tax act that have been sending

538
00:32:23,040 --> 00:32:26,800
Speaker 2: users information you know, over to meta slash, Facebook and

539
00:32:26,920 --> 00:32:32,160
Speaker 2: Google Crocket. Oh yeah, super weird. It was the metapixels,

540
00:32:32,480 --> 00:32:35,960
Speaker 2: That's what it was, embedded into websites automatically sent info. Well,

541
00:32:36,000 --> 00:32:38,800
Speaker 2: there was a congressional hearing and the good old folks

542
00:32:38,840 --> 00:32:42,000
Speaker 2: at the Capitol have shared their report after they compiled it.

543
00:32:42,320 --> 00:32:45,000
Speaker 2: You can read all about it on CNN And we'll

544
00:32:45,040 --> 00:32:48,840
Speaker 2: read a bit from something written by Brian fun on Wednesday,

545
00:32:48,960 --> 00:32:53,360
Speaker 2: July twelfth. It's titled tax prep companies shared private taxpayer

546
00:32:53,440 --> 00:32:56,960
Speaker 2: data with Google and meta for years congressional probe fines.

547
00:32:57,440 --> 00:33:01,200
Speaker 2: Here's some quotes using visitor tracking to technology embedded in

548
00:33:01,240 --> 00:33:04,040
Speaker 2: their websites. Tax Slayer H and R Block and Tax

549
00:33:04,080 --> 00:33:08,280
Speaker 2: Act allegedly sent tens of millions of Americans personal information

550
00:33:08,360 --> 00:33:12,760
Speaker 2: to the tech industry without their consent or appropriate disclosures.

551
00:33:13,280 --> 00:33:17,040
Speaker 2: What personal information you may ask, well, names, phone numbers,

552
00:33:17,080 --> 00:33:21,560
Speaker 2: email addresses, and all that taxpayer data like filing status,

553
00:33:21,560 --> 00:33:25,400
Speaker 2: adjusted gross income, the size of their taxed refunds, and

554
00:33:25,640 --> 00:33:30,040
Speaker 2: even information about the buttons and text fields they clicked

555
00:33:30,080 --> 00:33:33,560
Speaker 2: on while filling out their tax forms, which means they

556
00:33:33,640 --> 00:33:37,840
Speaker 2: know exactly what breaks like tax breaks you're getting, like

557
00:33:38,040 --> 00:33:42,920
Speaker 2: super personal information about companies that you have under your

558
00:33:42,960 --> 00:33:46,360
Speaker 2: control and all this other stuff. Uh, and which government

559
00:33:46,400 --> 00:33:50,680
Speaker 2: programs you use on al I'm sure.

560
00:33:50,440 --> 00:33:53,000
Speaker 3: It's the first like paper Tiger defense.

561
00:33:53,480 --> 00:33:55,600
Speaker 4: Data, right, Yah, it's just metadata.

562
00:33:55,680 --> 00:33:57,640
Speaker 2: Yeah, it's you, but it's your phone number and your

563
00:33:57,680 --> 00:33:59,840
Speaker 2: name and your email address tied all that stuff too.

564
00:34:00,120 --> 00:34:00,680
Speaker 4: Could it be?

565
00:34:02,040 --> 00:34:06,400
Speaker 3: Is it the other filo from Byzantium? Like that's yeah.

566
00:34:06,640 --> 00:34:09,720
Speaker 3: I just want to note here, Matt, that we called

567
00:34:09,760 --> 00:34:13,000
Speaker 3: this a while back because there was already such crooked

568
00:34:13,040 --> 00:34:18,600
Speaker 3: privatization of the irs and paying taxes, and so would

569
00:34:18,640 --> 00:34:23,759
Speaker 3: this stuff be useful for targeting a specific individual or

570
00:34:23,840 --> 00:34:27,920
Speaker 3: is it more like this is useful for measuring macro

571
00:34:28,080 --> 00:34:30,720
Speaker 3: trends and leverage in them for profit.

572
00:34:31,040 --> 00:34:33,680
Speaker 2: Well, it's a couple of things that were happening there

573
00:34:33,719 --> 00:34:36,960
Speaker 2: with both companies Meta and Google or Alphabet I guess

574
00:34:37,040 --> 00:34:40,959
Speaker 2: Meta and Alphabet and Google and Facebook. They were using

575
00:34:40,960 --> 00:34:44,480
Speaker 2: it to target ads at individuals, highly targeted, right, we

576
00:34:44,600 --> 00:34:47,200
Speaker 2: know everything about you, so we know exactly what you

577
00:34:47,440 --> 00:34:52,080
Speaker 2: need take it, but also to train some of their

578
00:34:52,200 --> 00:34:55,239
Speaker 2: language learning models and their machine learning stuff that they

579
00:34:55,280 --> 00:34:58,640
Speaker 2: had going on. So it was being used in a

580
00:34:58,640 --> 00:35:02,040
Speaker 2: lot of different ways, at least according to that congressional

581
00:35:02,080 --> 00:35:05,040
Speaker 2: hearing which this report was written about. And just give

582
00:35:05,040 --> 00:35:07,319
Speaker 2: you a little bit more from that CNN article. It

583
00:35:07,360 --> 00:35:10,200
Speaker 2: says the report, which drew in congressional interviews and written

584
00:35:10,239 --> 00:35:14,040
Speaker 2: testimony from these companies Meta and Google and the tax

585
00:35:14,040 --> 00:35:17,920
Speaker 2: prep companies, they also found that every single taxpayer who

586
00:35:18,200 --> 00:35:22,719
Speaker 2: used tax acts IRS free service while the tracking was

587
00:35:22,840 --> 00:35:26,120
Speaker 2: enabled had their information shared with the tech company. So

588
00:35:26,280 --> 00:35:31,440
Speaker 2: every single one including guess who boys, oh Maddy Fred.

589
00:35:31,840 --> 00:35:34,680
Speaker 3: Yeah, I say also full disclosure. This is important. We

590
00:35:34,719 --> 00:35:37,359
Speaker 3: need to say this. We have in the past had

591
00:35:37,719 --> 00:35:38,759
Speaker 3: some of those companies as.

592
00:35:38,760 --> 00:35:45,000
Speaker 4: Sponsors owned by a company that I believe tax tax acts.

593
00:35:45,200 --> 00:35:48,760
Speaker 4: It is tax yeah, tax Act. That's it no longer.

594
00:35:48,800 --> 00:35:51,319
Speaker 4: But yeah, and I've I've used those in the past.

595
00:35:51,320 --> 00:35:54,360
Speaker 4: I've only just recently pivoted to having an individual do

596
00:35:54,480 --> 00:35:56,920
Speaker 4: it for me, just because my stuff has gotten a

597
00:35:56,920 --> 00:35:59,840
Speaker 4: little more complicated and I just am afraid that the

598
00:36:00,160 --> 00:36:02,400
Speaker 4: screw something up with that free version.

599
00:36:02,719 --> 00:36:05,560
Speaker 3: Yeah. Every year, I I just opt for trial by

600
00:36:05,600 --> 00:36:08,279
Speaker 3: combat m SMART, which you know, which a lot of

601
00:36:08,320 --> 00:36:10,400
Speaker 3: people I think don't know you can do.

602
00:36:10,480 --> 00:36:12,680
Speaker 4: It's like Jerry Nola and you can. You can get

603
00:36:12,719 --> 00:36:15,480
Speaker 4: a champion to represent you in the camp.

604
00:36:15,560 --> 00:36:18,120
Speaker 3: But the rules change a little bit, and I'm kind

605
00:36:18,120 --> 00:36:18,680
Speaker 3: of hands on.

606
00:36:19,760 --> 00:36:22,400
Speaker 2: Gotta'd be careful. The I r S has some bruisers

607
00:36:22,440 --> 00:36:25,840
Speaker 2: in their ranks too. If you want to read the

608
00:36:25,840 --> 00:36:28,800
Speaker 2: whole thing, you can head on over to Senator Elizabeth

609
00:36:28,840 --> 00:36:32,720
Speaker 2: Warren's dot gov website. I think that's Warren dot Senate

610
00:36:32,840 --> 00:36:35,960
Speaker 2: dot gov. You can find it, or you can even

611
00:36:36,000 --> 00:36:38,280
Speaker 2: search for it and just find a tax on tax

612
00:36:38,320 --> 00:36:41,640
Speaker 2: privacy how the tax prep industry enabled Meta to harvest

613
00:36:41,640 --> 00:36:46,439
Speaker 2: millions of taxpayers sensitive data. Okay, there's update one. There's

614
00:36:46,440 --> 00:36:48,440
Speaker 2: a there's a hearing. It doesn't really mean anything, but

615
00:36:48,440 --> 00:36:51,600
Speaker 2: it's official now and all. That's all this stuff. The

616
00:36:51,640 --> 00:36:54,319
Speaker 2: statements are now on record and you can read them.

617
00:36:54,360 --> 00:36:55,520
Speaker 3: No penalties yet.

618
00:36:55,520 --> 00:36:57,799
Speaker 2: Well, there will be penalties, I'm just not sure when.

619
00:36:57,880 --> 00:36:59,960
Speaker 4: And what is it a Wells Fargo type situation?

620
00:37:00,600 --> 00:37:02,560
Speaker 2: Phi ah, what is funny?

621
00:37:02,719 --> 00:37:03,040
Speaker 4: Funny?

622
00:37:03,040 --> 00:37:05,719
Speaker 2: You should say that? Funny, you should say that. Back

623
00:37:05,760 --> 00:37:08,400
Speaker 2: in May twenty twenty, we made an episode titled Wells

624
00:37:08,440 --> 00:37:12,920
Speaker 2: Fargo's Imaginary Customers Funny Story. The bank was opening bogus

625
00:37:12,920 --> 00:37:16,080
Speaker 2: accounts and existing customers' names, you know, because of internal

626
00:37:16,120 --> 00:37:21,120
Speaker 2: pressure to sell more financial products aka accounts. Well, guys,

627
00:37:21,400 --> 00:37:24,120
Speaker 2: it appears that Bank of America has been caught doing

628
00:37:24,160 --> 00:37:28,600
Speaker 2: that too, and some other things. There's something you can

629
00:37:28,640 --> 00:37:33,120
Speaker 2: read out of CNBC written by Hugh sn It's titled

630
00:37:33,160 --> 00:37:36,719
Speaker 2: Bank of America fined one hundred and fifty million dollars

631
00:37:36,760 --> 00:37:40,720
Speaker 2: for consumer abuses, including fake accounts bogus fees.

632
00:37:41,880 --> 00:37:45,440
Speaker 4: H Yeah, so I just mentioned Wells Fargo thing in

633
00:37:45,520 --> 00:37:49,400
Speaker 4: terms of like what penalties might come. This is another

634
00:37:49,440 --> 00:37:52,640
Speaker 4: story entirely separate from the tax pert Okay.

635
00:37:52,480 --> 00:37:56,240
Speaker 2: Yeah, well, actually meta I think I think it is meta.

636
00:37:56,920 --> 00:37:59,120
Speaker 2: I don't know if alphabet slash Google is caught up

637
00:37:59,120 --> 00:38:01,360
Speaker 2: in it. But they are being fined by several European

638
00:38:01,400 --> 00:38:05,560
Speaker 2: countries right now dealing with some of the same same problems,

639
00:38:05,800 --> 00:38:08,000
Speaker 2: but not the tax not the tax issues.

640
00:38:08,120 --> 00:38:09,880
Speaker 4: It does at Europe have a little bit more protection

641
00:38:09,960 --> 00:38:12,200
Speaker 4: for its citizens for this kind of thing. They a

642
00:38:12,239 --> 00:38:16,120
Speaker 4: bit more seriously, perhaps it isn't even in Europe right now.

643
00:38:16,800 --> 00:38:18,880
Speaker 3: They have a different you know what, Matt, that's a

644
00:38:18,880 --> 00:38:22,240
Speaker 3: good setup. They have a different philosophy of what should

645
00:38:22,280 --> 00:38:22,920
Speaker 3: be protected.

646
00:38:23,200 --> 00:38:27,239
Speaker 2: There, you go, that's exactly correct. So let's jump into

647
00:38:27,239 --> 00:38:29,080
Speaker 2: this just a little bit longer with the Bank of

648
00:38:29,120 --> 00:38:33,839
Speaker 2: America thing. I'm going to read from Hugheson's CNBC article here,

649
00:38:34,120 --> 00:38:38,160
Speaker 2: the bank charged multiple thirty five dollars overdraft fees for

650
00:38:38,280 --> 00:38:42,800
Speaker 2: the same transaction, which means they double dipped, charged seventy

651
00:38:42,840 --> 00:38:45,160
Speaker 2: dollars because you didn't have enough money in your account.

652
00:38:45,200 --> 00:38:47,920
Speaker 2: So now you're an extra seventy dollars. Congratulations.

653
00:38:47,960 --> 00:38:49,480
Speaker 4: Were they hoping people wouldn't notice?

654
00:38:49,640 --> 00:38:51,279
Speaker 2: I don't know, just.

655
00:38:51,440 --> 00:38:54,040
Speaker 3: Hoping people notice? And then part of it is also

656
00:38:55,000 --> 00:38:57,400
Speaker 3: from my understanding reading about this, part of it is

657
00:38:58,040 --> 00:39:02,200
Speaker 3: an earlier grift that other banking institutions have been caught

658
00:39:02,280 --> 00:39:06,719
Speaker 3: with with futzing with the order of operations for how

659
00:39:06,800 --> 00:39:10,680
Speaker 3: money goes into or away from a debit or a

660
00:39:10,760 --> 00:39:15,080
Speaker 3: checking excuse me account, such that you know, if you

661
00:39:15,560 --> 00:39:20,719
Speaker 3: arrange the expenses or withdrawals in a certain order, then

662
00:39:20,760 --> 00:39:23,840
Speaker 3: you can hit the trip wire for the overdraft fee

663
00:39:23,880 --> 00:39:28,800
Speaker 3: and sometimes create a feedback loop of overdraft fees. Overdraft

664
00:39:28,840 --> 00:39:32,480
Speaker 3: fees are a huge source of revenue for these retail

665
00:39:32,520 --> 00:39:33,720
Speaker 3: banking institutions.

666
00:39:34,400 --> 00:39:38,719
Speaker 2: There's nothing else associated with it, right, There's no product

667
00:39:38,840 --> 00:39:40,839
Speaker 2: or service or anything. It's just, oh, now you owe

668
00:39:40,920 --> 00:39:43,480
Speaker 2: us more money. Okay, well we'll just throw that in

669
00:39:43,520 --> 00:39:44,759
Speaker 2: the pot of revenues.

670
00:39:44,840 --> 00:39:47,719
Speaker 4: I guess, probably like the way credit card companies clean

671
00:39:47,800 --> 00:39:49,759
Speaker 4: up on laid fees. Stuff like that.

672
00:39:49,840 --> 00:39:53,360
Speaker 2: Sure, the same disease. So also, Bank of America, according

673
00:39:53,400 --> 00:39:56,680
Speaker 2: to this article, failed to properly issue rewards to credit

674
00:39:56,719 --> 00:40:00,720
Speaker 2: card users and signed up customers for card account without

675
00:40:00,760 --> 00:40:03,799
Speaker 2: their consent. Oh that's the old Wells Fargo move. Don't

676
00:40:03,840 --> 00:40:06,960
Speaker 2: do that. And this is all according to the Consumer

677
00:40:07,040 --> 00:40:11,680
Speaker 2: Financial Protection Bureau. Let's see they Bank of America was

678
00:40:11,800 --> 00:40:14,320
Speaker 2: ordered to pay a total of one hundred and fifty

679
00:40:14,440 --> 00:40:18,000
Speaker 2: million dollars in penalties to that bureau as well as

680
00:40:18,080 --> 00:40:22,480
Speaker 2: the Office of the Comptroller of the Currency, which sounds

681
00:40:22,800 --> 00:40:25,760
Speaker 2: really exciting, But it also has to pay eighty million

682
00:40:25,800 --> 00:40:29,280
Speaker 2: dollars to all these customers who were unfairly charged bogus fees,

683
00:40:29,719 --> 00:40:32,919
Speaker 2: on top of another twenty three million it already paid

684
00:40:33,040 --> 00:40:35,719
Speaker 2: customers who were denied card awards.

685
00:40:36,239 --> 00:40:40,360
Speaker 3: Woo. And that's not gonna break the bank.

686
00:40:40,360 --> 00:40:43,560
Speaker 2: Not even a little tiny crack.

687
00:40:44,320 --> 00:40:47,359
Speaker 3: It's not gonna hurt unless the minimum punishment is one

688
00:40:47,440 --> 00:40:51,440
Speaker 3: hundred times the amount of financial or is one of

689
00:40:51,480 --> 00:40:53,040
Speaker 3: the financial damage done.

690
00:40:53,480 --> 00:40:56,840
Speaker 4: Is the Bank of entire America? You know, it is

691
00:40:57,040 --> 00:40:59,719
Speaker 4: the Bank of It's like the Iron Bank. I mean,

692
00:41:00,239 --> 00:41:02,680
Speaker 4: I'm joking, but it's a biggie. It's a big one.

693
00:41:03,120 --> 00:41:07,040
Speaker 2: It should be something like, for each fifty million in

694
00:41:07,160 --> 00:41:10,240
Speaker 2: fees you have to pay a regulatory agency, a bank

695
00:41:10,360 --> 00:41:13,879
Speaker 2: has to sacrifice one c suite employee.

696
00:41:14,280 --> 00:41:17,560
Speaker 3: Yeah, someone, one person should go to prison. Right, Like

697
00:41:18,360 --> 00:41:22,799
Speaker 3: we're saying, what if the horrific practices applied to racehorses

698
00:41:22,840 --> 00:41:25,880
Speaker 3: were also applied to jockeys and racehorse owners? You know

699
00:41:25,920 --> 00:41:27,880
Speaker 3: what I mean? Make it, you have to make it

700
00:41:27,920 --> 00:41:31,480
Speaker 3: physical and real because a lot of these there is

701
00:41:31,800 --> 00:41:36,239
Speaker 3: Parkour level passing of the buck when large institutions like

702
00:41:36,280 --> 00:41:40,719
Speaker 3: this get into financial hot water, and because of the

703
00:41:40,719 --> 00:41:45,040
Speaker 3: way the internal organizations and hierarchies are arranged, because of

704
00:41:45,080 --> 00:41:48,360
Speaker 3: the insidious practice of information siloing, it's a lot of

705
00:41:48,360 --> 00:41:53,319
Speaker 3: plausible deniability. It's actually really tough to put people at

706
00:41:53,320 --> 00:41:57,080
Speaker 3: that level in jail for financial crimes unless they're victims

707
00:41:57,080 --> 00:41:59,919
Speaker 3: are also wealthy. Hashtag made off Oh.

708
00:42:00,000 --> 00:42:05,080
Speaker 2: Ohsnap, that's the truth. Welcome to it. Thank you, Ben.

709
00:42:05,360 --> 00:42:07,960
Speaker 2: All right, if you want to read that entire press

710
00:42:08,000 --> 00:42:11,360
Speaker 2: release from the CFPB can head over to their newsroom

711
00:42:11,520 --> 00:42:15,960
Speaker 2: at Consumer Finance dot gov. Guys, I'm so glad we

712
00:42:16,000 --> 00:42:20,200
Speaker 2: talked about the European Union and privacy laws that are

713
00:42:20,239 --> 00:42:22,640
Speaker 2: a little bit different from ones that we experience over here,

714
00:42:22,640 --> 00:42:26,200
Speaker 2: are ones that govern us. Because here's the main story

715
00:42:26,239 --> 00:42:30,920
Speaker 2: for today. This is coming from Lamonde dot fr. France

716
00:42:31,160 --> 00:42:35,719
Speaker 2: set to allow police to spy through phones. French lawmakers

717
00:42:35,760 --> 00:42:38,680
Speaker 2: agreed to a justice reform bill that includes a provision

718
00:42:38,719 --> 00:42:43,040
Speaker 2: granting police the power to get suspects geolocation through phones

719
00:42:43,360 --> 00:42:48,680
Speaker 2: and other devices. And it's not just geolocation, guys.

720
00:42:49,040 --> 00:42:50,440
Speaker 4: It's actual footage.

721
00:42:50,560 --> 00:42:54,439
Speaker 2: It's turning on the cameras on a phone or any

722
00:42:54,440 --> 00:42:58,880
Speaker 2: other device, a tablet, a computer, a connected webcam the

723
00:42:58,920 --> 00:43:01,799
Speaker 2: way we're all using them right now. Turning on the

724
00:43:01,840 --> 00:43:06,279
Speaker 2: microphones to record audio for monitoring and spying of some

725
00:43:06,440 --> 00:43:10,680
Speaker 2: of a suspect in a particular case. It is much

726
00:43:10,680 --> 00:43:13,600
Speaker 2: more complicated than Hey, you should be afraid that the

727
00:43:13,640 --> 00:43:16,720
Speaker 2: French government is going to turn on your devices, because

728
00:43:16,880 --> 00:43:19,520
Speaker 2: they are almost one hundred percent not going to do

729
00:43:19,560 --> 00:43:25,640
Speaker 2: that unless you are suspected of terrorist activities or not organized,

730
00:43:26,080 --> 00:43:29,600
Speaker 2: not convicted, suspected. Somebody in an office somewhere is like,

731
00:43:29,680 --> 00:43:32,560
Speaker 2: wait a second, I think this piece of evidence matches

732
00:43:32,600 --> 00:43:34,279
Speaker 2: up with this piece of evidence, and we got this

733
00:43:34,400 --> 00:43:35,359
Speaker 2: name and it's that guy.

734
00:43:35,520 --> 00:43:36,080
Speaker 4: Turn on his.

735
00:43:36,040 --> 00:43:38,880
Speaker 3: Phone carefully, Paul Mission control.

736
00:43:39,680 --> 00:43:45,080
Speaker 2: Yeah, seriously, your phone is on? Oh is this a

737
00:43:45,120 --> 00:43:46,120
Speaker 2: warning to Paul?

738
00:43:47,200 --> 00:43:50,080
Speaker 3: Moving on? I mean this is like this, you know,

739
00:43:50,480 --> 00:43:53,440
Speaker 3: word from a friend. Right. But this is something we

740
00:43:53,480 --> 00:43:59,880
Speaker 3: talked about previously. Whenever these mass data scoops or digital invasion,

741
00:44:00,080 --> 00:44:02,440
Speaker 3: that's what I think we can call it. Digital invasions

742
00:44:02,480 --> 00:44:06,320
Speaker 3: come up, which are cyclical and shorter and shorter intervals

743
00:44:06,360 --> 00:44:12,000
Speaker 3: in between. The question becomes who decides someone is suspicious.

744
00:44:12,080 --> 00:44:15,359
Speaker 3: Right to your point, Matt, and we were talking about

745
00:44:15,400 --> 00:44:21,879
Speaker 3: this off air, Matt, Surely there's some kind of robust, working, accessible,

746
00:44:22,080 --> 00:44:26,000
Speaker 3: transparent appeals process for this. Is there any way for

747
00:44:26,040 --> 00:44:28,160
Speaker 3: you to know if you're being observed or is that

748
00:44:28,200 --> 00:44:29,879
Speaker 3: part of the psyopi nature of it?

749
00:44:29,960 --> 00:44:32,600
Speaker 2: No, you won't know because you're you're literally under investigation.

750
00:44:32,760 --> 00:44:37,319
Speaker 2: It is like a wire tap kind of situation, right, So,

751
00:44:37,320 --> 00:44:41,560
Speaker 2: so a according to this bill, which is a large bill, right,

752
00:44:41,640 --> 00:44:45,080
Speaker 2: this isn't just a bill that's getting passed that says, hey,

753
00:44:45,160 --> 00:44:47,759
Speaker 2: we can spy on your cameras and your phones now

754
00:44:47,800 --> 00:44:51,080
Speaker 2: and all that stuff. This is a reform bill, right,

755
00:44:51,360 --> 00:44:54,080
Speaker 2: like a like a almost like one of these big

756
00:44:54,120 --> 00:44:57,959
Speaker 2: defense bills that the US passes. Does that make sense, Yeah,

757
00:44:58,120 --> 00:44:58,399
Speaker 2: like the.

758
00:44:58,600 --> 00:45:01,600
Speaker 3: Like when the budd it has to pass Congress. There's

759
00:45:01,640 --> 00:45:05,640
Speaker 3: a lot of stuff that's tacked into this, and that's

760
00:45:05,800 --> 00:45:10,680
Speaker 3: very much by design. It's not necessarily always malevolent. Sometimes

761
00:45:10,680 --> 00:45:13,319
Speaker 3: it's just like, hey, let's get everything done at once

762
00:45:13,400 --> 00:45:17,040
Speaker 3: while we're here. But an inherent part of this that

763
00:45:17,080 --> 00:45:21,800
Speaker 3: pretty much every Western government does is use the large

764
00:45:21,800 --> 00:45:25,680
Speaker 3: amount like use a large sized bill as cover fire

765
00:45:25,800 --> 00:45:28,640
Speaker 3: to sneak in some things that would never pass if

766
00:45:28,640 --> 00:45:30,080
Speaker 3: they were proposed on their own.

767
00:45:30,320 --> 00:45:32,120
Speaker 4: Pork, right, isn't what they call it.

768
00:45:33,040 --> 00:45:38,479
Speaker 3: Pork is a sweetheart spending deals, and this is stuff like, oh, hey,

769
00:45:39,040 --> 00:45:43,440
Speaker 3: the nation of the United States is clearly on the

770
00:45:43,480 --> 00:45:47,160
Speaker 3: same page after the terrorist attacks on nine to eleven,

771
00:45:47,600 --> 00:45:51,160
Speaker 3: let's call something the Patriot Act and then put in

772
00:45:51,360 --> 00:45:53,840
Speaker 3: all the others we wanted to do for years.

773
00:45:55,239 --> 00:45:58,040
Speaker 2: Yeah, this one's a little weird to me. Guys. I'm

774
00:45:58,040 --> 00:45:59,960
Speaker 2: going to read a little bit more from this Lamand

775
00:46:00,160 --> 00:46:04,080
Speaker 2: article because I think I think there's maybe a gray

776
00:46:04,120 --> 00:46:07,239
Speaker 2: area here that even I'm leaning in a way that

777
00:46:07,280 --> 00:46:09,640
Speaker 2: I didn't expect to be leaning. Okay, so let's just

778
00:46:09,640 --> 00:46:13,120
Speaker 2: get into this. The article says any use of the

779
00:46:13,200 --> 00:46:16,800
Speaker 2: provision must be approved by a judge, while the total

780
00:46:16,920 --> 00:46:21,520
Speaker 2: duration of the surveillance cannot exceed six months, and sensitive

781
00:46:21,560 --> 00:46:27,360
Speaker 2: professions including doctors, journalists, lawyers, judges and MPs would not

782
00:46:27,760 --> 00:46:31,840
Speaker 2: be legitimate targets. So that's members of Parliament by the way, MPs.

783
00:46:32,080 --> 00:46:35,360
Speaker 3: Yeah, and didn't they say that this would from the

784
00:46:35,400 --> 00:46:39,200
Speaker 3: way they're imagining it, this effects a very small number

785
00:46:39,400 --> 00:46:41,200
Speaker 3: of people in France.

786
00:46:41,400 --> 00:46:43,040
Speaker 2: Yeah, it was tight. I want to say it was

787
00:46:43,080 --> 00:46:45,719
Speaker 2: like a dozen or two dozen people or something ridiculously

788
00:46:45,800 --> 00:46:50,640
Speaker 2: small number, because again, they're focusing on primarily at least

789
00:46:50,719 --> 00:46:53,440
Speaker 2: they are saying, according to the brains behind this portion

790
00:46:53,520 --> 00:46:57,600
Speaker 2: of the bill, they're targeting those suspected of terrorist acts

791
00:46:57,680 --> 00:47:01,640
Speaker 2: or planning terrorist acts in the future, those who are

792
00:47:02,000 --> 00:47:05,040
Speaker 2: in organized crime, involved pretty seriously in that kind of thing,

793
00:47:05,440 --> 00:47:08,719
Speaker 2: or this is weird. They also throw delinquency in there.

794
00:47:09,080 --> 00:47:12,000
Speaker 2: Delinquency could mean a lot of different things and.

795
00:47:12,360 --> 00:47:16,719
Speaker 4: Bills like or like having outstanding, what's that?

796
00:47:16,840 --> 00:47:21,440
Speaker 3: What's that black Lips song? Bad kids, loitering?

797
00:47:21,480 --> 00:47:24,839
Speaker 4: What are we talking here? Delicacy is a very broad term.

798
00:47:24,920 --> 00:47:30,240
Speaker 3: Well, that's what I think. It's related to the protest ah, and.

799
00:47:30,080 --> 00:47:32,799
Speaker 2: That's what I'm That's what makes me really nervous about this,

800
00:47:33,239 --> 00:47:37,520
Speaker 2: because theoretically you could cast a pretty wide net if

801
00:47:37,520 --> 00:47:40,680
Speaker 2: you wanted to, if there was some kind of organized movement,

802
00:47:40,880 --> 00:47:45,480
Speaker 2: like with the protests occurring, and you could just decide

803
00:47:45,520 --> 00:47:47,319
Speaker 2: to turn on all of those things to figure out

804
00:47:47,320 --> 00:47:52,080
Speaker 2: where everybody is their geolocation, like literally conversations about planning

805
00:47:52,120 --> 00:47:56,560
Speaker 2: another protest. Uh, you could take video evidence that depending

806
00:47:56,600 --> 00:47:59,160
Speaker 2: on how you maneuver the law there you could use

807
00:47:59,160 --> 00:47:59,600
Speaker 2: in court.

808
00:48:01,760 --> 00:48:04,440
Speaker 4: Earlier when I when I said, like, doesn't doesn't Europe

809
00:48:04,480 --> 00:48:06,879
Speaker 4: or France have different laws or they're a little more

810
00:48:06,880 --> 00:48:10,160
Speaker 4: particular about what is considered private. I was saying that

811
00:48:10,200 --> 00:48:12,399
Speaker 4: as a positive, like I thought, you know, they were

812
00:48:12,760 --> 00:48:16,200
Speaker 4: more concerned with their citizens' ability to be private. But

813
00:48:16,280 --> 00:48:18,000
Speaker 4: this is flying in the face of that, or maybe

814
00:48:18,000 --> 00:48:20,319
Speaker 4: I'm just naive. Well, this is.

815
00:48:20,120 --> 00:48:27,080
Speaker 3: Yeah, they have better protections for predatory practices by private industry.

816
00:48:27,239 --> 00:48:29,439
Speaker 3: That's probably the best way to say it. But as

817
00:48:29,480 --> 00:48:34,480
Speaker 3: far as the power of the state, the EU is

818
00:48:34,560 --> 00:48:39,480
Speaker 3: going through going through some foundational challenges right now. France

819
00:48:39,560 --> 00:48:44,960
Speaker 3: has a has had a huge wave of protests and riots,

820
00:48:45,960 --> 00:48:49,920
Speaker 3: some most directly set off by the raising of the

821
00:48:49,960 --> 00:48:54,080
Speaker 3: retirement age, which was is a huge deal. And then

822
00:48:54,640 --> 00:48:58,560
Speaker 3: there's a lot of anti immigration racism. There's like Muslim

823
00:48:58,600 --> 00:49:02,279
Speaker 3: separatists in the mix. France has valid reasons to be

824
00:49:02,400 --> 00:49:07,640
Speaker 3: worried about its continued stability. The question is how much

825
00:49:07,760 --> 00:49:10,359
Speaker 3: do you want to change what you said were your

826
00:49:10,400 --> 00:49:17,040
Speaker 3: principles in pursuit of retaining your stability of state. I mean,

827
00:49:17,080 --> 00:49:19,880
Speaker 3: it'd be really interesting to talk with people on the

828
00:49:19,920 --> 00:49:21,319
Speaker 3: ground in France about this.

829
00:49:21,680 --> 00:49:24,560
Speaker 2: Oh yeah, I think so it's really messed up because

830
00:49:24,719 --> 00:49:28,839
Speaker 2: my mind goes through what would I be willing to

831
00:49:28,920 --> 00:49:33,919
Speaker 2: do to prevent some massive attack on a train, right,

832
00:49:34,200 --> 00:49:38,040
Speaker 2: or on some other public transportation or something like that,

833
00:49:38,239 --> 00:49:40,840
Speaker 2: or another nine to eleven? What would I be willing

834
00:49:40,880 --> 00:49:43,360
Speaker 2: to give up to know that I could stop that?

835
00:49:43,960 --> 00:49:46,520
Speaker 2: But this isn't a situation where you would know you

836
00:49:46,520 --> 00:49:49,759
Speaker 2: would stop that. You would have to have investigations that

837
00:49:49,960 --> 00:49:53,680
Speaker 2: lead to suspects that then get targeted that then you

838
00:49:53,719 --> 00:49:56,640
Speaker 2: could prevent another attack or something like that, right.

839
00:49:56,480 --> 00:49:59,280
Speaker 4: And it's a slippery slope argument where it's like, you know, yeah,

840
00:49:59,320 --> 00:50:01,719
Speaker 4: because of the vague nature of like what it means

841
00:50:01,719 --> 00:50:04,279
Speaker 4: to be suspected of these things often or the lack

842
00:50:04,320 --> 00:50:08,720
Speaker 4: of definition around it, it could be used nefariously, of course.

843
00:50:09,120 --> 00:50:11,919
Speaker 3: And I'm glad that we're all on the same pat

844
00:50:11,960 --> 00:50:16,760
Speaker 3: here because years back, when did our deep dive into torture?

845
00:50:17,080 --> 00:50:19,960
Speaker 3: Does torture work? I brought up that point as well,

846
00:50:20,000 --> 00:50:24,799
Speaker 3: Like the idea is, if you prevent one of these attacks,

847
00:50:25,560 --> 00:50:30,120
Speaker 3: then unless it seems like it was definitely going to happen,

848
00:50:30,480 --> 00:50:33,839
Speaker 3: the public's not going to appreciate it. Right. It's like

849
00:50:33,880 --> 00:50:37,000
Speaker 3: if you to take it in a couple of different examples.

850
00:50:37,200 --> 00:50:39,400
Speaker 3: What if you have a terrible nightmare that one of

851
00:50:39,440 --> 00:50:41,959
Speaker 3: your friends is going to get in a car wreck,

852
00:50:42,040 --> 00:50:44,160
Speaker 3: and you call them that morning and you say, hey,

853
00:50:44,680 --> 00:50:47,440
Speaker 3: work from home today, don't drive. They don't drive, so

854
00:50:47,440 --> 00:50:49,440
Speaker 3: they don't get in a car wreck. But they're not

855
00:50:49,480 --> 00:50:53,239
Speaker 3: going to think you're psychic necessarily because the thing you

856
00:50:53,360 --> 00:50:56,520
Speaker 3: prevented never happened. It's like if you travel back in

857
00:50:56,560 --> 00:50:59,239
Speaker 3: time to kill Adolf Hitler, they're not going to say

858
00:50:59,560 --> 00:51:03,040
Speaker 3: thank you for stopping Nazis. They're gonna say, who is

859
00:51:03,080 --> 00:51:06,040
Speaker 3: this strange man who shot a baby? You know, And

860
00:51:06,120 --> 00:51:09,920
Speaker 3: they're gonna they're gonna be thinking, like to your excellent example, Matt,

861
00:51:09,960 --> 00:51:14,239
Speaker 3: like this question of this the ticking time bomb scenario, right,

862
00:51:14,320 --> 00:51:17,560
Speaker 3: we always we always worry about that. We also we

863
00:51:17,640 --> 00:51:20,719
Speaker 3: mentioned this in the book. No one wants to be

864
00:51:20,800 --> 00:51:25,240
Speaker 3: the person who says I could have saved thousands of lives,

865
00:51:25,800 --> 00:51:29,080
Speaker 3: but I just had to play by the rules and

866
00:51:29,120 --> 00:51:32,000
Speaker 3: the red tape, because if you don't break those rules

867
00:51:32,040 --> 00:51:35,000
Speaker 3: at that time, then you are the villain, you know

868
00:51:35,000 --> 00:51:39,640
Speaker 3: what I mean. It's a very profound ethical dilemma my opinion.

869
00:51:39,719 --> 00:51:42,919
Speaker 2: Yeah, and I think at this point in twenty twenty three,

870
00:51:43,400 --> 00:51:47,600
Speaker 2: if there's anyone out there that doesn't believe every phone

871
00:51:47,600 --> 00:51:50,960
Speaker 2: call we make, every text we send, every email we receive,

872
00:51:51,080 --> 00:51:55,920
Speaker 2: every WhatsApp, every supposedly end to end encrypted message isn't

873
00:51:55,960 --> 00:52:01,000
Speaker 2: being intercepted by a government agency. We're probably fooling ourselves

874
00:52:01,360 --> 00:52:03,919
Speaker 2: because we didn't learn about all the things that were

875
00:52:03,960 --> 00:52:07,680
Speaker 2: actually happening just like that until a whistleblower came forward

876
00:52:07,719 --> 00:52:11,719
Speaker 2: and told us it was happening decades ago. So, I mean,

877
00:52:12,000 --> 00:52:12,960
Speaker 2: it's kind of messed up.

878
00:52:13,080 --> 00:52:16,640
Speaker 3: I don't like it, but no, I mean, privacy is

879
00:52:16,680 --> 00:52:22,160
Speaker 3: somewhere between a historical fad and an exclusive domain of

880
00:52:22,200 --> 00:52:27,160
Speaker 3: the very wealthy. Right, Yeah, that's I think it's It's true.

881
00:52:27,200 --> 00:52:29,800
Speaker 3: You know, you have, if you are listening to this show,

882
00:52:29,920 --> 00:52:33,440
Speaker 3: or if you exist in any kind of non point

883
00:52:33,520 --> 00:52:37,440
Speaker 3: zero zero one percent echelon, you have been recorded without

884
00:52:37,480 --> 00:52:41,640
Speaker 3: your consent or your knowledge. It's just statistically inevitable.

885
00:52:42,120 --> 00:52:44,239
Speaker 2: And sometimes you know, and you just got to throw

886
00:52:44,320 --> 00:52:47,320
Speaker 2: up your hands and go, well, great, hope you enjoyed

887
00:52:47,400 --> 00:52:47,920
Speaker 2: that poop.

888
00:52:48,200 --> 00:52:51,240
Speaker 3: Sometimes it's not the folks you suspect or the entities.

889
00:52:51,560 --> 00:52:55,480
Speaker 4: Man, Matt, what a what a rich tapestry of you

890
00:52:55,480 --> 00:53:03,239
Speaker 4: brought us today a lot of fun jump in the river.

891
00:53:03,960 --> 00:53:06,600
Speaker 3: As we said, this is a kind of grab bag,

892
00:53:06,960 --> 00:53:10,840
Speaker 3: strange news segment. We've touched on a lot of things.

893
00:53:10,920 --> 00:53:13,400
Speaker 3: We've asked for a lot of help from people around

894
00:53:13,560 --> 00:53:16,960
Speaker 3: the world. We can't wait for you to be part

895
00:53:17,080 --> 00:53:20,640
Speaker 3: of the show. Folks joined us. You are the reason

896
00:53:20,719 --> 00:53:23,600
Speaker 3: this show exists. We're so grateful that you're here. We

897
00:53:23,680 --> 00:53:27,080
Speaker 3: try to be easy to find online.

898
00:53:27,160 --> 00:53:29,200
Speaker 4: That's right. You can find us at the handle conspiracy

899
00:53:29,280 --> 00:53:33,520
Speaker 4: stuff on Twitter. Yeah, not threads yet, I don't think,

900
00:53:33,520 --> 00:53:36,680
Speaker 4: but Twitter for the moment, got that free speech going

901
00:53:36,719 --> 00:53:41,640
Speaker 4: for him. We're also conspiracy stuff on YouTube. There's always

902
00:53:41,680 --> 00:53:45,799
Speaker 4: fun video content popping up, as well as Facebook where

903
00:53:45,880 --> 00:53:49,000
Speaker 4: conspiracy stuff show on Instagram and TikTok.

904
00:53:49,360 --> 00:53:52,560
Speaker 2: Hey, do you like calling with your phone knowing it's

905
00:53:52,600 --> 00:53:56,440
Speaker 2: going to be recorded by some governmental agency or language

906
00:53:56,480 --> 00:53:59,839
Speaker 2: learning model somewhere. Why not use that passion to call us?

907
00:54:00,080 --> 00:54:04,600
Speaker 2: Our number is one eight three three STDWYTK. It's a

908
00:54:04,680 --> 00:54:07,799
Speaker 2: voicemail system. You got three minutes. Give yourself a cool name,

909
00:54:07,920 --> 00:54:10,520
Speaker 2: not your government name. They already have that on file.

910
00:54:10,640 --> 00:54:12,720
Speaker 2: We do not, and we don't want it on file.

911
00:54:13,040 --> 00:54:14,920
Speaker 2: Please let us know at some point in the message

912
00:54:14,960 --> 00:54:17,640
Speaker 2: if we can use your name and message on the air.

913
00:54:17,840 --> 00:54:20,160
Speaker 2: If you don't want to do that, why not instead

914
00:54:20,239 --> 00:54:22,000
Speaker 2: send us a good old fashioned email.

915
00:54:22,120 --> 00:54:43,480
Speaker 3: We are conspiracy at iHeartRadio dot com.

916
00:54:43,640 --> 00:54:45,720
Speaker 2: Stuff they don't want you to know. Is a production

917
00:54:45,800 --> 00:54:50,360
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app,

918
00:54:50,440 --> 00:54:53,680
Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.