1
00:00:00,200 --> 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
00:00:09,160 --> 00:00:12,119
Speaker 1: learn this stuff they don't want you to know. A

4
00:00:12,200 --> 00:00:19,640
Speaker 1: production of iHeartRadio.

5
00:00:26,480 --> 00:00:28,760
Speaker 2: Hello, welcome back to the show. My name is Matt,

6
00:00:28,880 --> 00:00:29,600
Speaker 2: my name is Noah.

7
00:00:30,160 --> 00:00:32,840
Speaker 3: They called me Ben. We're joined as always with our

8
00:00:32,920 --> 00:00:37,239
Speaker 3: super producer Dylan the Tennessee pal Fagan. Most importantly, you

9
00:00:37,280 --> 00:00:40,760
Speaker 3: are you. You are here. That makes this the stuff

10
00:00:40,840 --> 00:00:44,360
Speaker 3: they don't want you to know. Fellow conspiracy realist, if

11
00:00:44,400 --> 00:00:47,920
Speaker 3: you are tuning in to our strange news program the

12
00:00:47,960 --> 00:00:50,640
Speaker 3: Evening It publishes, let us be the first to welcome

13
00:00:50,720 --> 00:00:55,440
Speaker 3: you to Monday, June ninth, twenty twenty five. Oh, we're

14
00:00:55,480 --> 00:00:58,120
Speaker 3: still at the beginning of June. Guys, do we have

15
00:00:58,720 --> 00:01:02,600
Speaker 3: any life lessons from our time spent in May?

16
00:01:03,120 --> 00:01:06,679
Speaker 4: I know, I know it had to be May. That's all.

17
00:01:06,680 --> 00:01:13,679
Speaker 5: I Just try your absolute best to stay away from

18
00:01:14,680 --> 00:01:19,360
Speaker 5: Georgia Pollin because my god, well we went through May

19
00:01:19,560 --> 00:01:20,400
Speaker 5: and in April.

20
00:01:20,520 --> 00:01:21,920
Speaker 4: Just cover it touches.

21
00:01:22,600 --> 00:01:25,840
Speaker 3: It's almost as though the climate is changing a little bit,

22
00:01:26,800 --> 00:01:29,800
Speaker 3: or maybe we're getting old. I had a little life

23
00:01:29,880 --> 00:01:32,600
Speaker 3: advice for anybody. This may come in handy for a

24
00:01:32,600 --> 00:01:37,280
Speaker 3: certain percentage of our demographic. This is not news. But folks,

25
00:01:37,319 --> 00:01:42,080
Speaker 3: if you are doing a persona in an unfamiliar situation,

26
00:01:42,360 --> 00:01:46,399
Speaker 3: be very everybody thinks about appearance, but be very careful

27
00:01:46,400 --> 00:01:48,920
Speaker 3: with your voice and your cadence. Because I got made.

28
00:01:49,120 --> 00:01:52,160
Speaker 6: Yeah may he told us that off air, it's always

29
00:01:52,200 --> 00:01:53,400
Speaker 6: cool to get voice clocked.

30
00:01:53,760 --> 00:01:56,560
Speaker 4: Happened to me as well. I was getting a tattoo.

31
00:01:56,640 --> 00:01:59,200
Speaker 6: And guys, did you see that Joey Fatone in Saints

32
00:01:59,200 --> 00:02:02,080
Speaker 6: speaking of It's got to be in May is shilling

33
00:02:02,120 --> 00:02:06,840
Speaker 6: for a red lobster. Now, yeah, I did not, Man, great,

34
00:02:07,560 --> 00:02:10,080
Speaker 6: I saw. You know how all the social media's of

35
00:02:10,120 --> 00:02:13,320
Speaker 6: these big restaurant chains try to get real cute, and

36
00:02:13,400 --> 00:02:16,200
Speaker 6: so they're doing a campaign where it looks like a

37
00:02:16,240 --> 00:02:19,520
Speaker 6: Tiger Beat magazine cover, but it's Joey Fatone just housing

38
00:02:19,639 --> 00:02:23,360
Speaker 6: fried shrimp and just shilling for nineteen ninety nine endless

39
00:02:23,360 --> 00:02:24,639
Speaker 6: shrimp for reading.

40
00:02:25,080 --> 00:02:28,200
Speaker 3: I love that, and you know those chains need the

41
00:02:28,240 --> 00:02:31,280
Speaker 3: help right now. We didn't have this for strange news,

42
00:02:31,360 --> 00:02:35,080
Speaker 3: but McDonald's has suffered the worst US sales decline in

43
00:02:35,760 --> 00:02:39,800
Speaker 3: five years, and they're they're blaming it on anti American

44
00:02:39,960 --> 00:02:43,160
Speaker 3: sentiment and not the fact that the ice cream is

45
00:02:43,160 --> 00:02:44,720
Speaker 3: always broken and the food stuff that.

46
00:02:44,720 --> 00:02:46,480
Speaker 4: Cot well, I think they fixed the ice cream problem.

47
00:02:46,520 --> 00:02:47,240
Speaker 4: They they made so.

48
00:02:47,480 --> 00:02:51,200
Speaker 7: Music conspiracy with the third party, not exactly.

49
00:02:51,280 --> 00:02:52,920
Speaker 6: But also I don't know if you go to mc

50
00:02:53,000 --> 00:02:54,440
Speaker 6: I go to McDonald's every now, and they just won

51
00:02:54,520 --> 00:02:56,760
Speaker 6: in my house, and they really are pushing this like

52
00:02:56,840 --> 00:02:58,560
Speaker 6: are you gonna use your points today?

53
00:02:58,880 --> 00:03:00,600
Speaker 4: And I just want to yeah, get that.

54
00:03:00,880 --> 00:03:00,960
Speaker 2: Know.

55
00:03:01,240 --> 00:03:03,840
Speaker 6: I think most people probably say no, but they ask

56
00:03:03,919 --> 00:03:06,920
Speaker 6: you verbally every single time, So that seems a little

57
00:03:06,919 --> 00:03:07,480
Speaker 6: desperate to me.

58
00:03:07,520 --> 00:03:08,200
Speaker 4: That's all I'm saying.

59
00:03:08,680 --> 00:03:13,480
Speaker 3: Yeah, yeah, I mean because then massive data collection can

60
00:03:13,520 --> 00:03:17,919
Speaker 3: become an entirely new revenue stream. Also, I didn't know this. Guys.

61
00:03:18,040 --> 00:03:20,640
Speaker 3: Remember Rob Thomas, He's a fan of a show that

62
00:03:20,720 --> 00:03:23,360
Speaker 3: we work with called Wrongful Conviction. Oh cool, of course,

63
00:03:23,560 --> 00:03:27,679
Speaker 3: just mentioning people in that musician mill you. But maybe, look,

64
00:03:27,720 --> 00:03:29,320
Speaker 3: we have a lot that we're going to touch on.

65
00:03:29,360 --> 00:03:32,960
Speaker 3: We're going to talk some dangerous stuff about Disney. We

66
00:03:33,160 --> 00:03:36,960
Speaker 3: are going to have some updates from jail videos and

67
00:03:37,040 --> 00:03:40,920
Speaker 3: the FBI, some talk about our favorite New York City mayor.

68
00:03:41,440 --> 00:03:43,880
Speaker 3: Before we do any of that, maybe we pause for

69
00:03:43,920 --> 00:03:47,680
Speaker 3: a word from our sponsors and then follow up on

70
00:03:47,720 --> 00:03:52,160
Speaker 3: this concept of mass collection of data as a revenue stream.

71
00:03:52,240 --> 00:04:00,640
Speaker 3: I'm here for it, and we have return heard our

72
00:04:00,720 --> 00:04:05,320
Speaker 3: first non McDonald's story this evening. You may have heard

73
00:04:05,840 --> 00:04:10,560
Speaker 3: of a little group called Pallenteer p A l A

74
00:04:10,800 --> 00:04:13,920
Speaker 3: N t R. Now we've talked about these guys a

75
00:04:13,960 --> 00:04:16,760
Speaker 3: little bit in the past. Correct, mm hmmm.

76
00:04:17,160 --> 00:04:20,720
Speaker 6: Only I clearly didn't get the memo because I really

77
00:04:20,720 --> 00:04:23,679
Speaker 6: didn't realize exactly how evil they were until you brought

78
00:04:23,720 --> 00:04:24,840
Speaker 6: this up just now, Ben.

79
00:04:25,839 --> 00:04:30,760
Speaker 3: Oh, well, their actions are evil for sure. And we

80
00:04:30,760 --> 00:04:33,839
Speaker 3: were talking offline and you said, yeah, the stock.

81
00:04:33,680 --> 00:04:36,520
Speaker 4: Is actually doing very I didn't know. Someone just I've

82
00:04:36,520 --> 00:04:38,080
Speaker 4: got a couple of Stock friends that were just like,

83
00:04:38,080 --> 00:04:39,200
Speaker 4: you should get in on this thing.

84
00:04:39,560 --> 00:04:42,839
Speaker 6: It's you know, whatever data, you know, brokering or whatever.

85
00:04:42,920 --> 00:04:44,680
Speaker 6: And I just knew the basics of it. But now

86
00:04:44,680 --> 00:04:47,719
Speaker 6: I'm feeling very on the fence about holding this, so

87
00:04:47,760 --> 00:04:49,679
Speaker 6: I may just let it go, even though, yes, Ben,

88
00:04:49,960 --> 00:04:51,360
Speaker 6: it is doing very well.

89
00:04:52,720 --> 00:04:57,599
Speaker 3: Well. It maybe because they're citing more and more quite

90
00:04:57,760 --> 00:05:01,720
Speaker 3: lucrative government contracts. The head line here. We could go

91
00:05:01,800 --> 00:05:05,480
Speaker 3: to the New Republic for this one. This went live

92
00:05:05,920 --> 00:05:10,440
Speaker 3: on May thirtieth, but people already knew what was happening.

93
00:05:11,000 --> 00:05:15,320
Speaker 3: The current US presidential administration is tapping the tech giant

94
00:05:15,400 --> 00:05:21,040
Speaker 3: Palenteer to create a master database on every single American.

95
00:05:21,520 --> 00:05:26,280
Speaker 3: And this article we're recommending comes from the journalist Hafiz Rashid.

96
00:05:26,560 --> 00:05:32,040
Speaker 3: But before we get into this particular dystopia, let's go

97
00:05:32,120 --> 00:05:37,480
Speaker 3: ahead and note a brief background of Palenteer. So Palenteer

98
00:05:37,640 --> 00:05:40,240
Speaker 3: is what you would call a data and analytics company

99
00:05:40,600 --> 00:05:43,960
Speaker 3: similar to Cambridge Analytica. Check out our episodes on that.

100
00:05:44,600 --> 00:05:49,600
Speaker 3: It was co founded by the current president and a

101
00:05:49,760 --> 00:05:55,320
Speaker 3: big campaign donor named Peter Teel. And what they're doing

102
00:05:55,640 --> 00:06:02,600
Speaker 3: right now is really streamlining and aggregating. If you live

103
00:06:02,640 --> 00:06:05,440
Speaker 3: in the US, you are already we joke about being

104
00:06:05,480 --> 00:06:08,239
Speaker 3: on a list, right, but you're already on so many lists.

105
00:06:08,360 --> 00:06:10,919
Speaker 3: Not all of them are bad. There's just this pedopoly

106
00:06:11,000 --> 00:06:14,880
Speaker 3: of government databases that already have information about you know,

107
00:06:14,920 --> 00:06:20,400
Speaker 3: your bank account number, your medical claims, disabilities, student loan debts.

108
00:06:21,200 --> 00:06:26,160
Speaker 3: It's just not in one central place. So now Pallunteer,

109
00:06:26,880 --> 00:06:29,760
Speaker 3: the stock price might go up because they are going

110
00:06:29,839 --> 00:06:33,880
Speaker 3: to create a master database. This comes to us from

111
00:06:34,000 --> 00:06:37,760
Speaker 3: the New York Times as well, which originally broke the story,

112
00:06:37,880 --> 00:06:40,240
Speaker 3: So let's make sure to shout out the journalist Shira

113
00:06:40,360 --> 00:06:45,520
Speaker 3: Frankel and Aaron Krolik. This dates back to March when

114
00:06:45,680 --> 00:06:50,359
Speaker 3: the current administration signed in executive order the EO, the

115
00:06:50,440 --> 00:06:55,080
Speaker 3: superpower of the President said, look, federal government share data

116
00:06:55,080 --> 00:07:00,280
Speaker 3: across agencies and this is worrisome before for a lot

117
00:07:00,279 --> 00:07:03,520
Speaker 3: of people. Before we go into more of than nitty gritty,

118
00:07:04,000 --> 00:07:08,800
Speaker 3: what's your initial reaction. Do you think a private tech

119
00:07:08,839 --> 00:07:12,520
Speaker 3: company should be tapped to create this master list of

120
00:07:13,120 --> 00:07:14,760
Speaker 3: everyone's everything?

121
00:07:15,200 --> 00:07:20,160
Speaker 6: No, boys, that line gotten blurred between private and public.

122
00:07:20,400 --> 00:07:22,320
Speaker 3: Yeah, so that's one vote against.

123
00:07:22,680 --> 00:07:27,280
Speaker 2: Yeah, well I'm for it, guys, what vote I think

124
00:07:27,280 --> 00:07:30,040
Speaker 2: it's I think is very strange the way all of

125
00:07:30,080 --> 00:07:32,760
Speaker 2: this is happening and being rolled out, because it is

126
00:07:32,960 --> 00:07:36,440
Speaker 2: it's a government. It's government money to the tune of

127
00:07:36,480 --> 00:07:39,800
Speaker 2: what almost eight hundred million, like or it's close to that,

128
00:07:39,960 --> 00:07:41,520
Speaker 2: like eight hundred million dollars.

129
00:07:41,880 --> 00:07:45,000
Speaker 3: Yeah, that's counting. It's a little over because there was

130
00:07:45,240 --> 00:07:49,760
Speaker 3: a do D contract for seven hundred and ninety five

131
00:07:49,800 --> 00:07:55,280
Speaker 3: million that Palenteer got, and then before then, since the

132
00:07:55,320 --> 00:07:59,360
Speaker 3: beginning of the current administration, Palnteer got more than a

133
00:07:59,360 --> 00:08:01,600
Speaker 3: little north of one hundred and thirteen million. Good.

134
00:08:01,640 --> 00:08:04,720
Speaker 2: So, okay, so they're taking in all this money, right,

135
00:08:04,720 --> 00:08:09,080
Speaker 2: they're a private company. They have a piece of software,

136
00:08:09,240 --> 00:08:16,160
Speaker 2: right that basically is this data aggregation thing holding all

137
00:08:16,200 --> 00:08:20,920
Speaker 2: of this data, separating it out, being able to search it,

138
00:08:21,200 --> 00:08:27,200
Speaker 2: right and house it. That's what is it foundry foundry. Okay,

139
00:08:27,200 --> 00:08:30,440
Speaker 2: so they've got this thing. So theoretically what they're doing.

140
00:08:30,600 --> 00:08:33,480
Speaker 2: All they're doing is just going out and talking to

141
00:08:33,520 --> 00:08:36,280
Speaker 2: the other agencies, right, just saying, hey, you should use

142
00:08:36,280 --> 00:08:40,160
Speaker 2: our stuff too, guys, Department of Homeland Security, you're already

143
00:08:40,240 --> 00:08:43,040
Speaker 2: using our stuff. Thanks. And they've got a couple others, right,

144
00:08:43,040 --> 00:08:45,760
Speaker 2: But then they're going to all the other places like

145
00:08:45,880 --> 00:08:50,040
Speaker 2: medicare selective service. So it is, I don't know, it

146
00:08:50,080 --> 00:08:54,400
Speaker 2: doesn't feel like the nefarious act of building this giant database.

147
00:08:54,440 --> 00:08:57,520
Speaker 2: It feels like a private company just trying to get there.

148
00:08:57,600 --> 00:09:00,400
Speaker 2: They're a version of Adobe software in everywhere or you know.

149
00:09:01,000 --> 00:09:03,319
Speaker 3: All right, so that's a vote for it.

150
00:09:05,520 --> 00:09:07,360
Speaker 6: You're just saying, it's not much different than a lot

151
00:09:07,400 --> 00:09:09,920
Speaker 6: of third party companies whose bread and butter are like

152
00:09:10,000 --> 00:09:14,360
Speaker 6: these suites of tools that giant corporations end up going

153
00:09:14,400 --> 00:09:15,559
Speaker 6: all in behind like.

154
00:09:15,559 --> 00:09:17,680
Speaker 2: They want to everybody have the enterprise version.

155
00:09:17,760 --> 00:09:20,640
Speaker 3: That's right, Like Microsoft does not care if you buy

156
00:09:20,640 --> 00:09:23,000
Speaker 3: an Xbox, you know what I mean, that's not where

157
00:09:23,000 --> 00:09:23,840
Speaker 3: they make their money.

158
00:09:24,040 --> 00:09:27,800
Speaker 2: But how many of those companies use like Windows right, right?

159
00:09:27,840 --> 00:09:28,320
Speaker 4: Exactly?

160
00:09:28,480 --> 00:09:31,439
Speaker 3: How many? How many companies use you know, as you said,

161
00:09:31,600 --> 00:09:36,719
Speaker 3: enterprise software sort of like a lot of auto or

162
00:09:37,120 --> 00:09:42,280
Speaker 3: vehicle or construction manufacturers make money off fleet deals, right,

163
00:09:42,360 --> 00:09:45,120
Speaker 3: make money off government contracts. You know, it's not gonna

164
00:09:45,320 --> 00:09:47,520
Speaker 3: it's not going to screw them over if you wait

165
00:09:47,520 --> 00:09:49,120
Speaker 3: a year to buy your camera.

166
00:09:49,400 --> 00:09:52,360
Speaker 2: Yes, right, oh so oh just on that too. I'm sorry,

167
00:09:52,440 --> 00:09:55,320
Speaker 2: I don't mean to do realist please. Something that's weird

168
00:09:55,360 --> 00:09:58,679
Speaker 2: that I never really thought about. Guys, most vehicles that

169
00:09:58,760 --> 00:10:01,800
Speaker 2: are you know, pass a certain year have a little

170
00:10:01,840 --> 00:10:06,320
Speaker 2: thing attached to the rear view mirror that opens garages,

171
00:10:06,760 --> 00:10:10,280
Speaker 2: and almost all of them are the exact same thing.

172
00:10:11,320 --> 00:10:14,480
Speaker 3: Flipper zero is entered the chat said, you're gonna be cool.

173
00:10:14,920 --> 00:10:16,280
Speaker 4: It's really creepy.

174
00:10:16,640 --> 00:10:19,040
Speaker 2: It's yeah, because you can program each one of those

175
00:10:19,040 --> 00:10:23,280
Speaker 2: things to anything that can project a signal out that

176
00:10:23,400 --> 00:10:27,000
Speaker 2: opens garage doors and all. It's all the same.

177
00:10:26,840 --> 00:10:31,679
Speaker 3: Tech and the active monitoring right now, insurance companies. Privatized

178
00:10:31,720 --> 00:10:36,480
Speaker 3: car insurance companies are giving people opt in methods to

179
00:10:36,520 --> 00:10:39,199
Speaker 3: save a little scratch as long as you agree to

180
00:10:39,280 --> 00:10:44,600
Speaker 3: constant monitoring and surveillance. I'm anti surveillance, and I think

181
00:10:44,640 --> 00:10:47,760
Speaker 3: the argument that if you're doing nothing wrong, you should

182
00:10:47,760 --> 00:10:52,240
Speaker 3: have nothing to worry about is intellectually fraudulent. It is

183
00:10:52,480 --> 00:10:58,640
Speaker 3: purposely misleading. So how long before it becomes an opt

184
00:10:58,679 --> 00:11:01,840
Speaker 3: out thing that you pay extra or will people simply

185
00:11:01,880 --> 00:11:05,400
Speaker 3: skip that step? In every car manufactured after insert year

186
00:11:05,480 --> 00:11:10,120
Speaker 3: here is required to have that constant monitoring for security

187
00:11:10,160 --> 00:11:14,840
Speaker 3: and safety purposes, You guys, security and safety the waymos

188
00:11:14,880 --> 00:11:17,000
Speaker 3: are already expanding through Atlanta?

189
00:11:17,440 --> 00:11:18,400
Speaker 4: Are they really really?

190
00:11:18,760 --> 00:11:19,000
Speaker 1: Yeah?

191
00:11:19,040 --> 00:11:21,520
Speaker 3: I saw one. I saw it in the wild, and

192
00:11:21,600 --> 00:11:24,080
Speaker 3: you know what, it almost screwed up at a crosswalk.

193
00:11:24,160 --> 00:11:25,960
Speaker 3: I'm sure the technology will get back.

194
00:11:25,960 --> 00:11:27,920
Speaker 6: Well, that's the thing though. That's interesting. I heard a

195
00:11:27,960 --> 00:11:30,960
Speaker 6: conversation on a podcast or a YouTube show recently where

196
00:11:31,320 --> 00:11:34,160
Speaker 6: Weymo's been at this for a long time and they're

197
00:11:34,200 --> 00:11:37,920
Speaker 6: still not great. Whereas Tesla is about to unleash their

198
00:11:37,960 --> 00:11:42,160
Speaker 6: cyber taxis on the world, and they're not using infrared

199
00:11:42,280 --> 00:11:44,800
Speaker 6: or whatever it is laser technology.

200
00:11:44,840 --> 00:11:46,960
Speaker 4: They're just using low pixel.

201
00:11:46,559 --> 00:11:51,520
Speaker 6: Count cameras and they haven't really road tested these, and

202
00:11:51,559 --> 00:11:54,120
Speaker 6: we already know the problems with their self driving stuff

203
00:11:54,559 --> 00:11:56,600
Speaker 6: and how self driving has been promised and even their

204
00:11:56,600 --> 00:11:59,880
Speaker 6: flagship vehicles and never fully rolled out as self driving.

205
00:12:00,080 --> 00:12:03,520
Speaker 6: So Elon Musk, like, in an effort to appease stockholders

206
00:12:03,600 --> 00:12:06,200
Speaker 6: or you know, finally keep a promise, is doing this

207
00:12:06,280 --> 00:12:09,400
Speaker 6: with the cyber taxis. And to your point, Ben, the Waimos,

208
00:12:09,440 --> 00:12:12,440
Speaker 6: there's always stories coming out about how they're not great

209
00:12:12,640 --> 00:12:15,440
Speaker 6: and they use much higher tech and have been testing

210
00:12:15,480 --> 00:12:17,480
Speaker 6: for much longer on actual roads.

211
00:12:18,320 --> 00:12:21,920
Speaker 3: And in their defense, I don't like the phrase Devil's advocate.

212
00:12:22,000 --> 00:12:24,760
Speaker 3: I did rewatch the film good. The monologues are great,

213
00:12:24,840 --> 00:12:28,600
Speaker 3: the ending needs some work, but yeah, I love it.

214
00:12:28,640 --> 00:12:30,480
Speaker 3: I love it. I've got a word for doing that

215
00:12:30,520 --> 00:12:34,120
Speaker 3: monologue years back. But the point I want to make

216
00:12:34,240 --> 00:12:36,080
Speaker 3: in their defense is that, you know, we have to

217
00:12:36,080 --> 00:12:39,920
Speaker 3: remember it took humans thousands and thousands of years of

218
00:12:40,120 --> 00:12:44,200
Speaker 3: trying to fly and then immediately dying for someone to

219
00:12:44,240 --> 00:12:47,440
Speaker 3: invent a plane. So maybe we're a plane that didn't

220
00:12:47,520 --> 00:12:52,880
Speaker 3: kill you automatically, So maybe we're we're seeing another progression

221
00:12:53,280 --> 00:12:56,000
Speaker 3: in that way. But we've talked about the danger of

222
00:12:56,480 --> 00:13:01,080
Speaker 3: autonomous vehicles, not necessarily just in terms of technology, but

223
00:13:01,200 --> 00:13:05,319
Speaker 3: in terms of what humans do with that technology, that surveillance,

224
00:13:05,400 --> 00:13:08,319
Speaker 3: that ability to shut down a grid during a protest

225
00:13:08,679 --> 00:13:11,280
Speaker 3: such that no one can drive away right or drive

226
00:13:11,440 --> 00:13:16,240
Speaker 3: toward a situation or a conflict. This is one of

227
00:13:16,280 --> 00:13:21,480
Speaker 3: the big concerns. This pollunteer thing happens with a context

228
00:13:21,559 --> 00:13:27,240
Speaker 3: wherein people are legitimate US residents and being deported right

229
00:13:27,559 --> 00:13:30,920
Speaker 3: even with guilt by association, like a family that recently

230
00:13:30,920 --> 00:13:35,720
Speaker 3: got deported. We're seeing the massive unforced error we would

231
00:13:35,760 --> 00:13:40,000
Speaker 3: call that and go the unforced error of creating brain

232
00:13:40,120 --> 00:13:45,080
Speaker 3: drain in the United States by deporting international students who

233
00:13:45,160 --> 00:13:49,840
Speaker 3: legally reside there. We're also seeing the palateer program happening

234
00:13:50,080 --> 00:13:55,720
Speaker 3: in step with the recent report that ICE has accessed

235
00:13:55,840 --> 00:14:02,240
Speaker 3: a nationwide license plate network, which means there's further surveillance

236
00:14:02,760 --> 00:14:03,600
Speaker 3: by ICE.

237
00:14:03,760 --> 00:14:05,600
Speaker 6: We also, I mean, I don't know if you guys

238
00:14:05,600 --> 00:14:08,280
Speaker 6: have ever gotten one of those robotickets where they just

239
00:14:08,720 --> 00:14:11,280
Speaker 6: snap your license plate and then you get something in

240
00:14:11,280 --> 00:14:13,360
Speaker 6: the mail. I mean that tech freaks me out and

241
00:14:13,400 --> 00:14:15,720
Speaker 6: I find it inconvenient. Boy, is it ever hard to

242
00:14:15,760 --> 00:14:18,320
Speaker 6: contest and there's going to come a point where these

243
00:14:18,320 --> 00:14:20,800
Speaker 6: things are impossible to contest. Not to mention, the way

244
00:14:20,840 --> 00:14:23,520
Speaker 6: ICE is scooping up people. Contesting is sort of not

245
00:14:23,600 --> 00:14:25,840
Speaker 6: even part of that deal, at least as far as

246
00:14:25,880 --> 00:14:27,480
Speaker 6: some of the people in power would like it.

247
00:14:28,480 --> 00:14:30,440
Speaker 3: And I want to stay yeah, I hear you. I

248
00:14:30,440 --> 00:14:33,960
Speaker 3: want to stick with this ICE story because the news

249
00:14:34,080 --> 00:14:39,360
Speaker 3: will probably get exaggerated or get spin depending upon who

250
00:14:39,920 --> 00:14:42,800
Speaker 3: who is reporting it or what source. Folks who are

251
00:14:42,800 --> 00:14:45,840
Speaker 3: supportive of ICE are going to say, you know, this

252
00:14:46,040 --> 00:14:50,320
Speaker 3: is ensuring safety, this is helping us with new tools

253
00:14:50,320 --> 00:14:53,360
Speaker 3: to find the bad guys. Folks who are opponents of

254
00:14:53,400 --> 00:14:56,920
Speaker 3: ICE or the current methods of that organization are going

255
00:14:56,960 --> 00:15:00,280
Speaker 3: to say this is further government overreach and what whatever

256
00:15:00,320 --> 00:15:04,160
Speaker 3: the justifications may be, it will be used for something

257
00:15:04,200 --> 00:15:08,200
Speaker 3: nefarious or perhaps indeed unconstitutional in the future. So it's

258
00:15:08,240 --> 00:15:12,920
Speaker 3: important to know the facts. ICE has indirectly accessed an

259
00:15:12,920 --> 00:15:18,120
Speaker 3: outfit called Flock Safety, and they're doing this by mass

260
00:15:18,160 --> 00:15:23,120
Speaker 3: requesting searches through local and state law enforcement agencies. Just

261
00:15:23,160 --> 00:15:25,320
Speaker 3: like the past year, there have been more than four

262
00:15:25,400 --> 00:15:31,880
Speaker 3: thousand immigration related lookups, which means someone doesn't necessarily even

263
00:15:32,040 --> 00:15:36,600
Speaker 3: have a moving violation they just get their license clocked.

264
00:15:36,800 --> 00:15:41,240
Speaker 3: And now imagine that feeding in to the palanteer eye

265
00:15:41,280 --> 00:15:45,440
Speaker 3: of soro on right, and now imagine all the variables

266
00:15:45,480 --> 00:15:49,280
Speaker 3: you can use to target someone you know. Okay, first

267
00:15:49,360 --> 00:15:52,840
Speaker 3: it was people who were illegally in the United States,

268
00:15:52,960 --> 00:15:56,160
Speaker 3: that part is true. But then it becomes people who

269
00:15:56,240 --> 00:16:00,080
Speaker 3: are not US citizens but are legal residents of the

270
00:15:59,880 --> 00:16:02,960
Speaker 3: United States, like kids on a on a student visa.

271
00:16:03,200 --> 00:16:06,760
Speaker 3: And then what comes next? Do we get to people

272
00:16:06,840 --> 00:16:11,240
Speaker 3: who are part of the culture war demographic targets like LGBTQ.

273
00:16:11,840 --> 00:16:15,840
Speaker 3: Does it does it stop? What happens to the professors? Right?

274
00:16:16,040 --> 00:16:18,880
Speaker 3: Does it go further to the professors? How long do

275
00:16:18,960 --> 00:16:22,560
Speaker 3: we have you guys, it's podcasters. They'll get Robert Evans first.

276
00:16:25,000 --> 00:16:28,680
Speaker 2: Yeah, yeah, well, at least before us. Do we think

277
00:16:29,960 --> 00:16:35,400
Speaker 2: the ISPs and like verizons and t mobiles of the

278
00:16:35,440 --> 00:16:38,080
Speaker 2: world are also caught up in all this stuff already

279
00:16:38,120 --> 00:16:43,040
Speaker 2: because of the previous stuff we've talked about, so it

280
00:16:43,240 --> 00:16:45,680
Speaker 2: right now, it's like, if you drive a vehicle, your

281
00:16:45,760 --> 00:16:49,000
Speaker 2: vehicle gets scanned by this flock safety thing. If you've

282
00:16:49,000 --> 00:16:50,560
Speaker 2: got a license plate, even if you don't have a

283
00:16:50,600 --> 00:16:52,880
Speaker 2: license plate, you've got a specific dealer plate or something.

284
00:16:52,920 --> 00:16:56,600
Speaker 2: It's got numbers on it can be tracked. Then you're

285
00:16:56,680 --> 00:17:00,720
Speaker 2: if you're using your cellular device that's being tracked, which people.

286
00:17:00,520 --> 00:17:03,160
Speaker 6: Are all using for data all the time. So there's

287
00:17:03,200 --> 00:17:05,440
Speaker 6: tons of stuff flowing through those networks, right.

288
00:17:05,600 --> 00:17:08,119
Speaker 2: Well, then that number is probably connected to one or

289
00:17:08,160 --> 00:17:11,400
Speaker 2: more of those databases you're talking about. Ben So then

290
00:17:11,680 --> 00:17:17,719
Speaker 2: it literally, it literally is aggregated everything. It's what's that

291
00:17:17,880 --> 00:17:21,120
Speaker 2: movie we always talk about, Minority Reports, that's.

292
00:17:21,040 --> 00:17:24,680
Speaker 3: The minority Yeah, the pre crime calculation. Yeah, shout out

293
00:17:24,680 --> 00:17:28,320
Speaker 3: with Dart. And the thing is, we don't we don't

294
00:17:28,480 --> 00:17:37,520
Speaker 3: need cinematic sci fi dystopia to explain nefarious actions as

295
00:17:37,640 --> 00:17:43,320
Speaker 3: as they occur. Uh, Dystopian society grows gradually one time.

296
00:17:43,720 --> 00:17:48,800
Speaker 3: You know, one day, you rarely get a sudden moment

297
00:17:48,920 --> 00:17:52,120
Speaker 3: of revelation. You turn around one day and you're older

298
00:17:52,119 --> 00:17:55,080
Speaker 3: than you thought you would be, and you don't recognize

299
00:17:55,160 --> 00:17:56,560
Speaker 3: the place you live in anymore.

300
00:17:56,680 --> 00:17:58,280
Speaker 4: It's not that's how it happens. It's not how we

301
00:17:58,320 --> 00:18:01,760
Speaker 4: experience time. It's just kind of like a frog boiling at.

302
00:18:01,680 --> 00:18:04,480
Speaker 2: This situation, right, Y'll be terrifying that there was a

303
00:18:04,560 --> 00:18:08,480
Speaker 2: dystopia button. I mean, I guess nuclear all nuclear war

304
00:18:08,640 --> 00:18:10,280
Speaker 2: is the dystopia button.

305
00:18:10,800 --> 00:18:15,520
Speaker 7: Other than that, it's defined by future historians, and that

306
00:18:15,800 --> 00:18:18,480
Speaker 7: effect or that moment is often achieved in fiction or

307
00:18:18,520 --> 00:18:22,520
Speaker 7: science fiction with the narrative device of time travel, where

308
00:18:22,560 --> 00:18:24,920
Speaker 7: someone steps out of a portal and everything's all.

309
00:18:25,000 --> 00:18:26,040
Speaker 4: Ft up, you know what I mean.

310
00:18:26,119 --> 00:18:30,280
Speaker 3: Yeah, yeah, but it usually takes the later work of

311
00:18:30,359 --> 00:18:35,080
Speaker 3: scholars and historians totally, and whomever owns the current prevailing

312
00:18:35,200 --> 00:18:38,560
Speaker 3: Zeitgeister narrative, it takes them to look back and say,

313
00:18:38,760 --> 00:18:43,159
Speaker 3: you know, this is the moment Franz Ferdinand, when Franz

314
00:18:43,200 --> 00:18:45,000
Speaker 3: Ferdinand was assassin with.

315
00:18:44,960 --> 00:18:46,840
Speaker 4: The band Okay, people were.

316
00:18:46,680 --> 00:18:51,399
Speaker 3: Saying, yeah, when the Black Hand assassinated Franz Ferdinand. People

317
00:18:51,640 --> 00:18:54,359
Speaker 3: newspaper reports at the time where of course running the story,

318
00:18:54,359 --> 00:18:57,040
Speaker 3: but they were running other stories too. You know. There

319
00:18:57,119 --> 00:18:59,080
Speaker 3: was a guy who's like, no, the way the world's

320
00:18:59,119 --> 00:19:04,439
Speaker 3: going to end is all these people wanting balustrades. The

321
00:19:04,440 --> 00:19:08,320
Speaker 3: balustrade industry simply can't meet the demand of all these

322
00:19:08,560 --> 00:19:11,879
Speaker 3: people by balustrades. And someone was like, I don't know,

323
00:19:11,960 --> 00:19:13,080
Speaker 3: both sides are correct.

324
00:19:13,359 --> 00:19:17,480
Speaker 6: Archduke kind of became the hot button thing through revisionist history,

325
00:19:17,560 --> 00:19:19,840
Speaker 6: or rather like an assessment of history and trying to

326
00:19:19,880 --> 00:19:21,920
Speaker 6: boil it down to an understandable narrative.

327
00:19:22,040 --> 00:19:25,560
Speaker 3: Right, yeah, functions thereof you know, and if we're talking

328
00:19:25,560 --> 00:19:27,479
Speaker 3: about I don't want to go too lower this. If

329
00:19:27,480 --> 00:19:32,240
Speaker 3: we're talking about those apocalyptic moments. One thing we've seen

330
00:19:32,600 --> 00:19:37,760
Speaker 3: often in this show is not just apocalyptic moments defined

331
00:19:37,800 --> 00:19:41,159
Speaker 3: by human society, but defined by the actions of the

332
00:19:41,280 --> 00:19:46,960
Speaker 3: natural world. So if we continue this podcast for the

333
00:19:47,000 --> 00:19:51,160
Speaker 3: next fifteen human years, we may have a follow up

334
00:19:51,400 --> 00:19:56,680
Speaker 3: to a study that recently published that says toxic fungui

335
00:19:56,840 --> 00:20:00,719
Speaker 3: will or fungi your choicers are your own, will threaten

336
00:20:00,800 --> 00:20:06,280
Speaker 3: millions of lives within within that timeframe, within fifteen years.

337
00:20:06,680 --> 00:20:11,520
Speaker 3: This is of course on par with other predictions. Whenever

338
00:20:11,560 --> 00:20:14,760
Speaker 3: I read news like this, guys, I just can't help

339
00:20:14,880 --> 00:20:17,720
Speaker 3: but think of that time everybody told us we were

340
00:20:17,800 --> 00:20:23,119
Speaker 3: crazy and controversial for pointing out neo nikotinoid's damaging effects

341
00:20:23,280 --> 00:20:26,880
Speaker 3: on honeybee populations, and it turned out we were right,

342
00:20:27,280 --> 00:20:29,159
Speaker 3: or the people who did the studies were right. They

343
00:20:29,160 --> 00:20:30,920
Speaker 3: were just ignored. So if you want to read more

344
00:20:30,920 --> 00:20:35,320
Speaker 3: about that, go to Popular Mechanics excellent article by Darren Orf,

345
00:20:35,520 --> 00:20:39,720
Speaker 3: who's citing the latest studies when his work and apocalypse

346
00:20:39,760 --> 00:20:43,960
Speaker 3: of toxic fungi could threaten millions of lives within fifteen years.

347
00:20:44,280 --> 00:20:47,159
Speaker 3: We're going to pause for word from our sponsors. We

348
00:20:47,200 --> 00:20:52,879
Speaker 3: want to hear your thoughts on mass surveillance, human political

349
00:20:53,119 --> 00:20:59,800
Speaker 3: apocalypses or natural still human created apocalypses. Yeah, have a

350
00:20:59,800 --> 00:21:01,840
Speaker 3: great type at the abreak. We'll be back with more

351
00:21:02,160 --> 00:21:04,760
Speaker 3: strange news. No, look, can we go to Disney.

352
00:21:04,640 --> 00:21:06,480
Speaker 4: Boy, let's do it. Let's go to Disneyland.

353
00:21:12,280 --> 00:21:15,560
Speaker 6: And we've returned and we've got our Mickey Matt or

354
00:21:15,640 --> 00:21:19,080
Speaker 6: Mini whichever you know, dealer's choice, hats on and eaten

355
00:21:19,160 --> 00:21:22,359
Speaker 6: some I don't know, themed ice cream of some sort,

356
00:21:22,600 --> 00:21:26,439
Speaker 6: perhaps also mouse shaped, and we're seeing that beautiful vista

357
00:21:26,480 --> 00:21:30,200
Speaker 6: of the Cinderella's Castle on the horizon. We're just full

358
00:21:30,240 --> 00:21:33,480
Speaker 6: of wonder and joy as we walk into Disneyland or.

359
00:21:33,440 --> 00:21:37,200
Speaker 3: World side note I do I do fondly recall one

360
00:21:37,200 --> 00:21:40,280
Speaker 3: of those videos where we did where you know, use

361
00:21:40,359 --> 00:21:43,280
Speaker 3: the phrase iced creams iced cream.

362
00:21:45,000 --> 00:21:48,040
Speaker 6: I think I probably stold the over annunciation from my

363
00:21:48,119 --> 00:21:50,600
Speaker 6: buddy Matt Berry don't actually know him, would love to

364
00:21:50,800 --> 00:21:55,440
Speaker 6: huge fan. But disney Land, World, the Magic Kingdom, whichever

365
00:21:55,640 --> 00:21:58,119
Speaker 6: you prefer whichever one is more in your neck of

366
00:21:58,160 --> 00:22:03,440
Speaker 6: the woods. Has long been an innovator in theme park technology.

367
00:22:03,520 --> 00:22:07,639
Speaker 6: Let's just say early versions of these theme parks, or Disneyland,

368
00:22:07,680 --> 00:22:11,800
Speaker 6: let's just say the very first one, have incorporated cutting

369
00:22:11,960 --> 00:22:15,520
Speaker 6: edge for the time animatronics, some of which the vintage

370
00:22:15,600 --> 00:22:18,440
Speaker 6: versions have stuck around, like the Country Bear Jamboree.

371
00:22:18,760 --> 00:22:21,120
Speaker 4: I think they only just recently retired.

372
00:22:20,680 --> 00:22:22,879
Speaker 6: That one, but either when I was in Disneyland not

373
00:22:22,960 --> 00:22:24,439
Speaker 6: too too long ago, a couple of years ago, I

374
00:22:24,440 --> 00:22:26,120
Speaker 6: got to see that, and I'm not mistaken.

375
00:22:26,160 --> 00:22:28,640
Speaker 4: It's no longer there. But a lot of.

376
00:22:28,600 --> 00:22:32,400
Speaker 6: Fun, a lot of kind of weird, uncanny Valley Chuck

377
00:22:32,400 --> 00:22:36,200
Speaker 6: e Cheese esque, but a little bit you know better animatronics.

378
00:22:36,440 --> 00:22:38,400
Speaker 6: We also, of course know about the Hall of Presidents,

379
00:22:38,440 --> 00:22:43,359
Speaker 6: where you can see your favorite presidents personified through robotic forms,

380
00:22:43,520 --> 00:22:46,720
Speaker 6: including Abraham Lincoln, who gives little you know excerpts from

381
00:22:46,760 --> 00:22:50,800
Speaker 6: his Gettysburg address. Well, the Walt Disney Company, which of

382
00:22:50,800 --> 00:22:55,040
Speaker 6: course now owns Star Wars, Disney a ton of other

383
00:22:55,640 --> 00:22:59,120
Speaker 6: properties as well, like all of the Pixar stuff that's all.

384
00:22:59,040 --> 00:23:01,679
Speaker 4: Under this umbrella. Now you can stream it all on

385
00:23:01,720 --> 00:23:03,160
Speaker 4: Disney Plus. Not an ad.

386
00:23:04,560 --> 00:23:10,840
Speaker 6: They and their leadership, Bob iger Is, the CEO of Disney,

387
00:23:11,359 --> 00:23:15,000
Speaker 6: are getting criticized pretty hardcore by relatives of the late

388
00:23:15,040 --> 00:23:19,360
Speaker 6: Walt Disney for their decision to roll out an exhibit,

389
00:23:19,400 --> 00:23:24,080
Speaker 6: an animatronic exhibit in Anaheim and Disneyland, an experience. They

390
00:23:24,119 --> 00:23:27,840
Speaker 6: call it the Imagineers, wherein people will be able to

391
00:23:27,880 --> 00:23:32,960
Speaker 6: hang out with an animatronic representation of Walt Disney himself.

392
00:23:33,640 --> 00:23:36,840
Speaker 6: The experience was described at the D twenty three event

393
00:23:37,119 --> 00:23:39,240
Speaker 6: is where Disney kind of rolls out their slates and

394
00:23:39,280 --> 00:23:42,760
Speaker 6: all of their new theme park stuff last summer, described

395
00:23:43,040 --> 00:23:45,000
Speaker 6: as being able to experience what.

396
00:23:44,920 --> 00:23:48,040
Speaker 4: It would have been like to be in Walt's presence.

397
00:23:48,920 --> 00:23:53,919
Speaker 6: However, Walt Disney's granddaughter is super super non on board

398
00:23:53,920 --> 00:23:57,320
Speaker 6: with this and says Walt wouldn't have been either. Joanna Miller,

399
00:23:58,080 --> 00:24:01,440
Speaker 6: in a Facebook post recently in the last couple of days,

400
00:24:02,160 --> 00:24:07,520
Speaker 6: called the the idea of this a robot imposter and

401
00:24:07,560 --> 00:24:12,360
Speaker 6: warned that Disney execs were dehumanizing the memory of her grandfather.

402
00:24:13,119 --> 00:24:15,040
Speaker 6: She goes on to say and her post, people are

403
00:24:15,080 --> 00:24:18,480
Speaker 6: not replaceable. You cannot add life to a robot empty

404
00:24:18,520 --> 00:24:21,479
Speaker 6: of a soul or essence of the man, I think

405
00:24:21,560 --> 00:24:25,760
Speaker 6: that's fascinating on a couple of fronts, because of course

406
00:24:25,800 --> 00:24:29,399
Speaker 6: Disney did pioneer animatronics, and they, you know, Walt Disney

407
00:24:29,480 --> 00:24:31,760
Speaker 6: was all about that, and you know they've done it

408
00:24:31,800 --> 00:24:33,919
Speaker 6: with presidents and every time there's a new president, I

409
00:24:33,960 --> 00:24:35,120
Speaker 6: believe I'm not.

410
00:24:35,040 --> 00:24:37,920
Speaker 4: Mistaken, they add it to the whole president's right.

411
00:24:37,960 --> 00:24:39,639
Speaker 3: Well, they get in front of it too, which is

412
00:24:39,680 --> 00:24:43,080
Speaker 3: why there's one that looks kind of trumpish, kind of glintonish.

413
00:24:43,600 --> 00:24:46,399
Speaker 3: But I was asking that exact question off air, and

414
00:24:46,440 --> 00:24:48,520
Speaker 3: I'm glad you brought it up here, like is it not?

415
00:24:49,119 --> 00:24:53,440
Speaker 3: Could people not see that as somewhat hypocritical?

416
00:24:53,520 --> 00:24:53,919
Speaker 4: I don't know.

417
00:24:53,960 --> 00:24:57,240
Speaker 3: I have sensitivity for families of estates NOL. Do we

418
00:24:57,440 --> 00:25:03,200
Speaker 3: know if this descendant of Walt himself is actively working

419
00:25:03,440 --> 00:25:06,200
Speaker 3: in the company, because I think if that was the case,

420
00:25:06,280 --> 00:25:09,119
Speaker 3: then they would never the conversation, would never have gotten this.

421
00:25:09,280 --> 00:25:11,800
Speaker 6: If I'm not mistaken, the entire Disney family is no

422
00:25:11,920 --> 00:25:14,879
Speaker 6: longer a decision making any I'm not sure if there

423
00:25:14,920 --> 00:25:19,080
Speaker 6: are other survivors of the Disney line other than this granddaughter.

424
00:25:19,160 --> 00:25:20,560
Speaker 4: And I apologize, but I think for.

425
00:25:20,760 --> 00:25:24,000
Speaker 6: Our purposes here, I do know that there is no

426
00:25:24,080 --> 00:25:27,639
Speaker 6: decision making power anymore coming from the Walt Disney family,

427
00:25:27,720 --> 00:25:31,000
Speaker 6: which is why this is more point of protest and

428
00:25:31,200 --> 00:25:35,199
Speaker 6: you know, bad taste being acknowledged than it is some

429
00:25:35,359 --> 00:25:38,240
Speaker 6: kind of actionable item, because Joanna Miller in her post

430
00:25:39,240 --> 00:25:43,000
Speaker 6: asked for people's support in helping convince the company in

431
00:25:43,040 --> 00:25:47,359
Speaker 6: all caps to you know, scrap plans to do this

432
00:25:47,760 --> 00:25:52,359
Speaker 6: abandon the robot of Grandpa, she says, most importantly, and

433
00:25:52,400 --> 00:25:54,359
Speaker 6: this is I think the kicker here. That's very interesting

434
00:25:54,400 --> 00:25:55,840
Speaker 6: and to your point, Ben, and what I was bringing

435
00:25:55,920 --> 00:25:58,840
Speaker 6: up as well. Most importantly, I learned that Grandpa told

436
00:25:58,920 --> 00:26:01,359
Speaker 6: Sam McKim, which I believe must have been an old

437
00:26:01,359 --> 00:26:05,520
Speaker 6: colleague perhaps someone who was also once connected to the company,

438
00:26:06,200 --> 00:26:11,360
Speaker 6: clearly a confidante, that he never wanted to be an animatronic.

439
00:26:12,359 --> 00:26:17,560
Speaker 6: Marty Sklar, who was an early imagineer, a founder of

440
00:26:17,600 --> 00:26:21,320
Speaker 6: this whole kind of division, I think, along with I Works,

441
00:26:21,440 --> 00:26:23,600
Speaker 6: who is also a person who was very close to

442
00:26:23,640 --> 00:26:28,320
Speaker 6: Disney and invented some very very important innovative devices and

443
00:26:28,359 --> 00:26:31,520
Speaker 6: technologies and processes, all of which you can see by

444
00:26:31,520 --> 00:26:33,920
Speaker 6: the way and the history at an incredible place that

445
00:26:33,960 --> 00:26:36,680
Speaker 6: I probably pitched before on the show called the Disney

446
00:26:36,680 --> 00:26:41,399
Speaker 6: Family Museum in San Francisco that is funded and or

447
00:26:41,480 --> 00:26:43,760
Speaker 6: operated by the Walt Disney Family Trust.

448
00:26:43,800 --> 00:26:46,480
Speaker 4: So that is a good example too of where.

449
00:26:46,320 --> 00:26:50,720
Speaker 6: You can see their version of the memory of Waltz

450
00:26:50,760 --> 00:26:53,960
Speaker 6: and his innovations. How that differs from the company line

451
00:26:54,280 --> 00:26:56,640
Speaker 6: on all of that stuff. It's a really neat place.

452
00:26:56,680 --> 00:26:59,520
Speaker 6: I do highly recommend you check it out. Marty Scalar

453
00:26:59,600 --> 00:27:04,679
Speaker 6: taught the imagineers. She says he knew Grandpa's wishes. So

454
00:27:04,720 --> 00:27:07,159
Speaker 6: the idea of a robotic Grandpa to give the public

455
00:27:07,200 --> 00:27:09,840
Speaker 6: a feeling of who the living man was, which is

456
00:27:09,960 --> 00:27:13,679
Speaker 6: the stated purpose of this exhibit. The idea literally that

457
00:27:13,680 --> 00:27:16,200
Speaker 6: came from the statement about it at D twenty three

458
00:27:16,960 --> 00:27:19,520
Speaker 6: just makes no sense. It would be an impost. They

459
00:27:19,560 --> 00:27:22,000
Speaker 6: are dehumanizing him. People are not replaceable. You could never

460
00:27:22,040 --> 00:27:25,959
Speaker 6: get the casualness of his talking, interacting with the camera,

461
00:27:26,560 --> 00:27:29,520
Speaker 6: his excitement to show and tell people about what is

462
00:27:29,640 --> 00:27:33,000
Speaker 6: new at the park, etc. You cannot add life to

463
00:27:33,119 --> 00:27:36,000
Speaker 6: one empty of a soul or essence of the man

464
00:27:36,520 --> 00:27:39,480
Speaker 6: knowing that he did not want this, having your predecessors

465
00:27:39,520 --> 00:27:41,679
Speaker 6: tell you that this was out of bounds, so so

466
00:27:41,840 --> 00:27:42,880
Speaker 6: sad and disappointed.

467
00:27:43,600 --> 00:27:44,960
Speaker 4: It's extra interesting too.

468
00:27:44,880 --> 00:27:47,880
Speaker 6: Considering that Bob Ayger's been mega under fire for some

469
00:27:48,000 --> 00:27:52,040
Speaker 6: kind of not great decisions that have been made around

470
00:27:52,280 --> 00:27:58,400
Speaker 6: their reboots of classic animated films that are beloved as

471
00:27:58,480 --> 00:28:00,840
Speaker 6: these live action kind of I'm just gonna say where

472
00:28:00,840 --> 00:28:03,520
Speaker 6: I land on it abominations, I would say that word

473
00:28:03,560 --> 00:28:05,920
Speaker 6: is appropriate. Some of them are just kind of missing

474
00:28:06,000 --> 00:28:08,240
Speaker 6: the point of what made the animated films good in

475
00:28:08,280 --> 00:28:12,000
Speaker 6: the first place. And there's just that uncaddy valley ness

476
00:28:12,040 --> 00:28:14,479
Speaker 6: of it all too. And the snow White rollout has

477
00:28:14,480 --> 00:28:18,439
Speaker 6: obviously been plagued with catastrophe. It's the biggest bomb of

478
00:28:18,480 --> 00:28:21,240
Speaker 6: any of these that they've ever put out, if I'm

479
00:28:21,280 --> 00:28:24,200
Speaker 6: not mistaken. And the star Rachel Ziggler on the kind

480
00:28:24,200 --> 00:28:26,800
Speaker 6: of press trail for that just made some really not

481
00:28:26,880 --> 00:28:31,600
Speaker 6: great comments about the original version that alienated basically anybody

482
00:28:31,640 --> 00:28:33,360
Speaker 6: that would have been into the movie, and nobody went

483
00:28:33,400 --> 00:28:35,960
Speaker 6: and saw it. So this seems like another and a

484
00:28:36,000 --> 00:28:38,160
Speaker 6: long line of kind of those kind of missteps by

485
00:28:38,200 --> 00:28:40,560
Speaker 6: the Walt Disney Company and mister Bob. I here, what

486
00:28:40,600 --> 00:28:44,200
Speaker 6: do you guys think that any thoughts of the contradictions here? Maybe,

487
00:28:44,240 --> 00:28:48,520
Speaker 6: And like the obviously Disney was a huge innovator of animatronics,

488
00:28:48,560 --> 00:28:50,880
Speaker 6: but that he himself did not want to be given

489
00:28:50,920 --> 00:28:51,400
Speaker 6: that treatment.

490
00:28:52,200 --> 00:28:57,960
Speaker 2: I wonder if Abraham Lincoln wanted exactly a guy, and

491
00:28:58,200 --> 00:29:01,640
Speaker 2: like how you would have felt about that. I don't know.

492
00:29:02,960 --> 00:29:05,080
Speaker 2: I think if you're going to have those things, having

493
00:29:05,080 --> 00:29:07,920
Speaker 2: the guy that invented it in many ways or the

494
00:29:07,960 --> 00:29:11,880
Speaker 2: guy that created it become one is actually kind of cool.

495
00:29:13,120 --> 00:29:16,440
Speaker 2: But nowadays you don't really need that. You could just

496
00:29:16,520 --> 00:29:20,600
Speaker 2: have a an AI generated version of him, right that

497
00:29:20,760 --> 00:29:26,040
Speaker 2: uses his previous interviews, and that dude could show you

498
00:29:26,080 --> 00:29:28,640
Speaker 2: around the park if you wanted to. That's cool, but

499
00:29:28,680 --> 00:29:31,840
Speaker 2: that would probably be considered horrifying as well. But if

500
00:29:31,840 --> 00:29:34,720
Speaker 2: that's horrifying for the guy that created this thing that

501
00:29:34,800 --> 00:29:37,440
Speaker 2: led us down this path, then what are we doing?

502
00:29:38,520 --> 00:29:38,840
Speaker 1: Yeah?

503
00:29:39,000 --> 00:29:41,040
Speaker 3: I hear you on that, Matt. That that was my

504
00:29:41,120 --> 00:29:43,800
Speaker 3: point too. You know, like, first, yes, we could argue

505
00:29:43,840 --> 00:29:48,360
Speaker 3: a hypocritical but second it goes into some very logical considerations.

506
00:29:48,400 --> 00:29:52,400
Speaker 3: I really appreciate you bringing up there because the philiposophical

507
00:29:52,960 --> 00:29:55,880
Speaker 3: aspects we're bringing up here too. It touches on the

508
00:29:55,920 --> 00:29:58,880
Speaker 3: idea of agency, Like when we're talked about that kerfuffle

509
00:29:58,960 --> 00:30:07,360
Speaker 3: about purported AI George Carlin stuff exactly. So the question

510
00:30:07,520 --> 00:30:13,160
Speaker 3: then is, I don't know. It's tough to parse because

511
00:30:13,240 --> 00:30:17,160
Speaker 3: the primary issue is you can't ask Walt Disney about it.

512
00:30:17,440 --> 00:30:20,080
Speaker 3: But to Matt's point, what if we made an AI

513
00:30:20,320 --> 00:30:23,440
Speaker 3: emulator of Walt Disney with all the data we could

514
00:30:23,440 --> 00:30:27,480
Speaker 3: collect and then ask that, right, asked Walt two point?

515
00:30:27,480 --> 00:30:31,800
Speaker 3: Oh you felt about it, but it's only black mirror

516
00:30:31,880 --> 00:30:32,880
Speaker 3: till it's real, you know.

517
00:30:32,960 --> 00:30:36,000
Speaker 2: And that question is do you want a body?

518
00:30:36,960 --> 00:30:38,800
Speaker 3: Yeah, exactly, and then.

519
00:30:40,320 --> 00:30:41,320
Speaker 4: I want a body?

520
00:30:41,560 --> 00:30:44,680
Speaker 3: Come on, how did you really feel about uh, you know,

521
00:30:44,760 --> 00:30:46,240
Speaker 3: were you really anti semitic?

522
00:30:46,520 --> 00:30:46,720
Speaker 4: Oh?

523
00:30:46,840 --> 00:30:49,680
Speaker 3: Geez, yeah, yeah, I opened that back of words. But

524
00:30:50,440 --> 00:30:53,480
Speaker 3: this maybe I don't know, man like, who can who

525
00:30:53,480 --> 00:30:55,880
Speaker 3: can make the call? Does the estate have the rights

526
00:30:55,920 --> 00:30:57,680
Speaker 3: to Walt Disney's like that?

527
00:30:57,120 --> 00:31:00,840
Speaker 4: I don't know. It's surely not. You know how lawyered

528
00:31:00,880 --> 00:31:02,000
Speaker 4: up these companies would get.

529
00:31:02,000 --> 00:31:03,440
Speaker 6: I mean, I don't think they would have put in

530
00:31:03,480 --> 00:31:06,360
Speaker 6: the planning and made the announcement if they couldn't legally

531
00:31:06,440 --> 00:31:08,520
Speaker 6: do it. So I think at this point it's just

532
00:31:08,560 --> 00:31:12,120
Speaker 6: a protest thing and calling it the tasteless. And then

533
00:31:12,160 --> 00:31:14,520
Speaker 6: of course the imagineers and the folks at Disney are

534
00:31:14,560 --> 00:31:17,280
Speaker 6: defending it. It's interesting because when I went to Disney

535
00:31:17,320 --> 00:31:19,240
Speaker 6: this last time for the first time in many years.

536
00:31:19,280 --> 00:31:21,920
Speaker 6: At Epcott, they have this ride called Spaceship Earth, which

537
00:31:21,960 --> 00:31:25,520
Speaker 6: is like this cool time traveling space ride that sort

538
00:31:25,520 --> 00:31:26,880
Speaker 6: of shows you the one my.

539
00:31:26,880 --> 00:31:28,360
Speaker 4: Founding of civilization exactly.

540
00:31:28,440 --> 00:31:30,680
Speaker 6: And in my mind I was like, I swear there

541
00:31:30,720 --> 00:31:33,120
Speaker 6: is a Walt Disney animatronic in that because it was

542
00:31:33,160 --> 00:31:36,320
Speaker 6: so his thing. But there definitely isn't, uh and there

543
00:31:36,400 --> 00:31:38,240
Speaker 6: never has been. And this is a that's why this

544
00:31:38,320 --> 00:31:41,480
Speaker 6: is such a big deal. So hm, I don't know,

545
00:31:41,880 --> 00:31:43,600
Speaker 6: it's it's it's a it's a it's a pickle.

546
00:31:44,680 --> 00:31:45,520
Speaker 2: I guess what I think?

547
00:31:45,600 --> 00:31:47,040
Speaker 3: Yeah, what do you think that?

548
00:31:47,040 --> 00:31:48,800
Speaker 2: I think Disney needs to up their game.

549
00:31:49,680 --> 00:31:51,880
Speaker 4: I remember what I was gonna say. Sorry, Matt, those

550
00:31:51,960 --> 00:31:52,239
Speaker 4: do it.

551
00:31:52,280 --> 00:31:54,880
Speaker 6: This is interesting too because of all the conspiracies around

552
00:31:54,880 --> 00:31:56,920
Speaker 6: Walt Disney life extension stuff.

553
00:31:56,640 --> 00:31:57,840
Speaker 4: And preserving them.

554
00:31:59,320 --> 00:32:02,360
Speaker 6: And all that is kind of them trying to do that,

555
00:32:02,520 --> 00:32:05,760
Speaker 6: keeping him alive in a way, but also his state

556
00:32:06,160 --> 00:32:08,720
Speaker 6: representatives of it are not down with that. I'm so sorry, Matt.

557
00:32:08,880 --> 00:32:09,360
Speaker 4: I was just trying.

558
00:32:09,440 --> 00:32:10,040
Speaker 3: What were you thinking?

559
00:32:10,080 --> 00:32:13,920
Speaker 2: That it's a way more realistic version of extending life

560
00:32:13,920 --> 00:32:15,200
Speaker 2: than freezing some stuff.

561
00:32:15,240 --> 00:32:19,120
Speaker 3: We know that the technology is just not there. It's

562
00:32:19,240 --> 00:32:22,040
Speaker 3: just that it's because water expands at a certain tip.

563
00:32:22,240 --> 00:32:24,080
Speaker 3: I'm not gonna do it. I'm not going to do

564
00:32:24,120 --> 00:32:24,440
Speaker 3: it today.

565
00:32:24,440 --> 00:32:28,520
Speaker 2: It's a whole thing. But uh, what I was gonna

566
00:32:28,520 --> 00:32:31,600
Speaker 2: say is Disney's up their game. All of these theme

567
00:32:31,640 --> 00:32:35,360
Speaker 2: parks are magical wonderlands, right. But my son just got

568
00:32:35,360 --> 00:32:37,800
Speaker 2: back from Universal and they had a new one that

569
00:32:37,840 --> 00:32:42,000
Speaker 2: I didn't even know existed. That's like Epic Universe or something.

570
00:32:42,200 --> 00:32:44,360
Speaker 4: Brand new day a day or two old, I swear.

571
00:32:44,440 --> 00:32:47,000
Speaker 2: But my son got to hang out in Donkey Kong

572
00:32:47,120 --> 00:32:48,680
Speaker 2: Country and he was in it.

573
00:32:48,960 --> 00:32:52,840
Speaker 4: And take my money.

574
00:32:53,040 --> 00:32:56,560
Speaker 2: There's a Mario Kart joking, my god.

575
00:32:56,440 --> 00:32:59,280
Speaker 4: I'm going, I'm going that's my stuff, dude. Oh that

576
00:32:59,320 --> 00:33:00,000
Speaker 4: sounds amazing.

577
00:33:00,160 --> 00:33:04,040
Speaker 3: There's a Nintendo World I think opening up in US

578
00:33:04,080 --> 00:33:06,720
Speaker 3: pretty soon. I'm actually what I'm talking about. I think

579
00:33:07,640 --> 00:33:10,000
Speaker 3: that's where that must be it because they that go

580
00:33:10,120 --> 00:33:12,360
Speaker 3: to the one in Japan later because I guess.

581
00:33:12,440 --> 00:33:15,600
Speaker 6: Yeah, I guess the Mario movie was under Universal, so that, yeah,

582
00:33:15,680 --> 00:33:16,280
Speaker 6: that makes sense.

583
00:33:17,560 --> 00:33:19,720
Speaker 4: All I know is it's crazy cool.

584
00:33:20,400 --> 00:33:25,000
Speaker 3: Folks, tell us your favorite and most unusual amusement or

585
00:33:25,080 --> 00:33:27,720
Speaker 3: theme parks that you have visited. I am a big

586
00:33:27,800 --> 00:33:33,280
Speaker 3: fan of amusement parks, especially the propagandistic ones in other countries.

587
00:33:32,240 --> 00:33:36,480
Speaker 6: In Japan, there's like a Yokai themed amusement park, or

588
00:33:36,480 --> 00:33:37,280
Speaker 6: maybe it's even.

589
00:33:37,080 --> 00:33:37,800
Speaker 4: A whole city.

590
00:33:38,480 --> 00:33:39,520
Speaker 3: I've been to the Kai town.

591
00:33:39,520 --> 00:33:40,320
Speaker 4: Okay, that must be it.

592
00:33:40,360 --> 00:33:43,200
Speaker 6: But then I also saw there's a poop themed amusement

593
00:33:43,240 --> 00:33:44,680
Speaker 6: park that just I've heard of.

594
00:33:44,640 --> 00:33:46,440
Speaker 3: It in Japan. I haven't been.

595
00:33:46,560 --> 00:33:50,400
Speaker 6: It's about the wonders of sanitation. It's like got a message.

596
00:33:50,560 --> 00:33:53,400
Speaker 3: Yeah, well, you gotta have something that doesn't just say

597
00:33:54,680 --> 00:33:58,920
Speaker 3: we're in dapu. Yeah right, yeah, and sanitations is important.

598
00:33:58,960 --> 00:34:01,680
Speaker 3: To brillion people die every year due to lack of

599
00:34:01,720 --> 00:34:04,840
Speaker 3: potable water, So I get it. But that's a great

600
00:34:04,880 --> 00:34:11,359
Speaker 3: example there. It's as long as you can add this

601
00:34:11,400 --> 00:34:13,880
Speaker 3: is for an important reason. At the very end of

602
00:34:13,920 --> 00:34:17,239
Speaker 3: whatever weird thing you're doing, you can get a pass

603
00:34:17,280 --> 00:34:20,200
Speaker 3: and you can make an amusement park. For sure. God,

604
00:34:20,280 --> 00:34:23,760
Speaker 3: I want to hear about new and strange amusement parks

605
00:34:23,760 --> 00:34:26,319
Speaker 3: we haven't visited yet. Gosh, that must be so new

606
00:34:26,480 --> 00:34:28,320
Speaker 3: that what you call it epic universe?

607
00:34:29,040 --> 00:34:30,920
Speaker 6: Yeah, it was just ribbon cut like a week or

608
00:34:30,960 --> 00:34:33,160
Speaker 6: two ago. So your your son got very lucky and

609
00:34:33,200 --> 00:34:36,560
Speaker 6: getting to catch that so early. Are you serious?

610
00:34:37,000 --> 00:34:37,560
Speaker 4: Look, I don't know.

611
00:34:37,640 --> 00:34:39,040
Speaker 2: He was with his mom and they ended up there

612
00:34:39,080 --> 00:34:40,360
Speaker 2: and he just told me all about.

613
00:34:41,440 --> 00:34:45,120
Speaker 6: Also switch to Drop Day this week coming out on Friday,

614
00:34:45,239 --> 00:34:50,120
Speaker 6: New Mario Kart, Mario Kart World Mario. It hasn't been

615
00:34:50,120 --> 00:34:51,920
Speaker 6: a new Mario Kart in over a decade or at

616
00:34:51,960 --> 00:34:53,320
Speaker 6: least a decade, So I'm pumped.

617
00:34:54,200 --> 00:34:54,880
Speaker 3: That's awesome.

618
00:34:54,960 --> 00:34:57,560
Speaker 6: Well, jeez, guys, we went we went on about Disney

619
00:34:57,840 --> 00:34:59,399
Speaker 6: for a lot longer than I thought I did.

620
00:34:59,440 --> 00:35:01,200
Speaker 4: Just want to little tie in story.

621
00:35:02,320 --> 00:35:07,000
Speaker 6: David Zaslov, who's also another you know, CEO of entertainment

622
00:35:07,600 --> 00:35:10,120
Speaker 6: Conglomo that's under fire and been under fire.

623
00:35:10,840 --> 00:35:12,839
Speaker 3: Who full disclosure, we have met.

624
00:35:12,960 --> 00:35:15,840
Speaker 6: We've met him, but he used to be the CEO

625
00:35:15,960 --> 00:35:18,920
Speaker 6: of Discovery, you know, I'm sorry, still still is Warner

626
00:35:18,960 --> 00:35:23,279
Speaker 6: Brothers Discovery, and we initially were acquired by Discovery. That

627
00:35:23,360 --> 00:35:26,439
Speaker 6: was like right when I joined the company. And he

628
00:35:27,360 --> 00:35:29,920
Speaker 6: is being sort of chastised by the board.

629
00:35:30,080 --> 00:35:32,120
Speaker 4: The company's executives, who.

630
00:35:32,239 --> 00:35:39,520
Speaker 6: Are who held a symbolic non binding vote against the

631
00:35:39,560 --> 00:35:43,640
Speaker 6: executive payout package of around fifty more than rather fifty

632
00:35:43,680 --> 00:35:48,719
Speaker 6: million dollars that he's due, so they're saying that he's

633
00:35:48,760 --> 00:35:52,160
Speaker 6: not doing great at his decision making. All the debacle

634
00:35:52,200 --> 00:36:00,440
Speaker 6: around HBO streaming HBO, HBO Max HBO Max HBO, we

635
00:36:00,480 --> 00:36:04,680
Speaker 6: don't even know. It's bad, real bad dilution kind of stuff.

636
00:36:05,000 --> 00:36:06,080
Speaker 3: Back of how yep BO.

637
00:36:06,520 --> 00:36:08,640
Speaker 6: We've also seen a lot of backlash against some of

638
00:36:08,680 --> 00:36:11,880
Speaker 6: their prized brands, like the House of the Dragons. The

639
00:36:12,000 --> 00:36:14,279
Speaker 6: Game of Thrones spin off kind of had a little

640
00:36:14,320 --> 00:36:17,520
Speaker 6: bit of a petering out in its audience because there

641
00:36:17,560 --> 00:36:19,040
Speaker 6: were not that many episodes.

642
00:36:19,320 --> 00:36:20,760
Speaker 4: It felt like they were cutting corners.

643
00:36:21,280 --> 00:36:24,040
Speaker 6: So seasons have gotten a lot shorter, and most recently

644
00:36:24,520 --> 00:36:26,600
Speaker 6: the season the second season of the Last of Us

645
00:36:26,600 --> 00:36:31,160
Speaker 6: has absolutely been lambasted by fans and critics alike. Seems

646
00:36:31,160 --> 00:36:34,200
Speaker 6: like nobody liked it, and it also seems to be

647
00:36:34,320 --> 00:36:39,359
Speaker 6: victim of some cuts. So yeah, they're they're saying it's

648
00:36:39,400 --> 00:36:41,560
Speaker 6: not a good idea to do that, they're against it,

649
00:36:41,640 --> 00:36:43,799
Speaker 6: but it's non binding, so he's definitely still going to

650
00:36:43,800 --> 00:36:48,239
Speaker 6: get every dollar of that, so there you go.

651
00:36:48,239 --> 00:36:48,560
Speaker 3: Gosh.

652
00:36:48,600 --> 00:36:49,840
Speaker 4: I had a couple other stories.

653
00:36:49,880 --> 00:36:52,360
Speaker 6: Guinea pigs have been forced to listen to adele in

654
00:36:52,480 --> 00:36:57,440
Speaker 6: order to test out how music audio compression affects our

655
00:36:57,719 --> 00:37:01,080
Speaker 6: brains and our ears specifically are hearing. Compression is a

656
00:37:01,080 --> 00:37:04,359
Speaker 6: tool in audio production that basically makes quiet parts loud

657
00:37:04,400 --> 00:37:08,080
Speaker 6: and loud parts quiet, evening them out so there's no

658
00:37:08,200 --> 00:37:11,480
Speaker 6: dynamic range the aka difference between the loudest and the

659
00:37:11,560 --> 00:37:14,680
Speaker 6: quietest parts of the music. And if anybody's a musician

660
00:37:14,800 --> 00:37:16,319
Speaker 6: or into that, you know that that's where a lot

661
00:37:16,360 --> 00:37:19,400
Speaker 6: of tension drama comes from, is having quiet bits and things,

662
00:37:19,480 --> 00:37:22,680
Speaker 6: you know, opening up and classical music for sure. Dynamics

663
00:37:22,760 --> 00:37:25,680
Speaker 6: is a term that's used often, but this is more

664
00:37:25,680 --> 00:37:28,719
Speaker 6: referring to dynamics in terms of the actual analyzing of

665
00:37:28,760 --> 00:37:31,680
Speaker 6: the audio waveform. It turns out that when you compress

666
00:37:31,719 --> 00:37:34,480
Speaker 6: stuff and it make it just consistently loud all the time,

667
00:37:34,600 --> 00:37:36,879
Speaker 6: it doesn't give our brains time to reset and our

668
00:37:36,880 --> 00:37:38,239
Speaker 6: ears time to rest.

669
00:37:38,360 --> 00:37:39,280
Speaker 4: And it's bad.

670
00:37:39,360 --> 00:37:43,719
Speaker 6: So guinea pigs that were subjected to seven days of

671
00:37:43,880 --> 00:37:49,440
Speaker 6: Adele's music in compressed and uncompressed form suffered more significant

672
00:37:49,600 --> 00:37:53,640
Speaker 6: hearing damage when they expose to the compressed form, which,

673
00:37:53,920 --> 00:37:56,000
Speaker 6: if you're into audio stuff in production that do it

674
00:37:56,040 --> 00:37:59,439
Speaker 6: does make sense, but it's interesting that that's being codified now,

675
00:37:59,560 --> 00:38:00,399
Speaker 6: so it.

676
00:38:00,400 --> 00:38:04,239
Speaker 2: Wasn't non stop adele right.

677
00:38:04,280 --> 00:38:06,719
Speaker 6: I don't know exactly exactly what kind of rests or

678
00:38:06,760 --> 00:38:09,560
Speaker 6: breaks they got, but that would be really cruel and

679
00:38:09,560 --> 00:38:11,320
Speaker 6: the kind of thing you'd see in like black sites

680
00:38:11,400 --> 00:38:13,800
Speaker 6: or whatever. But on poor little guinea pigs, who you know,

681
00:38:13,840 --> 00:38:15,600
Speaker 6: it's not funny you always hear guinea pigs used to

682
00:38:15,640 --> 00:38:19,200
Speaker 6: stand in for like test subjects, right, if you never

683
00:38:19,280 --> 00:38:22,040
Speaker 6: really hear guinea pigs being used in this way, at

684
00:38:22,120 --> 00:38:22,600
Speaker 6: least I don't.

685
00:38:22,600 --> 00:38:25,960
Speaker 4: Maybe I don't read enough abstracts of this kind of stuff.

686
00:38:25,960 --> 00:38:29,640
Speaker 6: But there is a thing that's been raging for about

687
00:38:29,680 --> 00:38:32,120
Speaker 6: five or six years, maybe a little more in music

688
00:38:32,680 --> 00:38:35,520
Speaker 6: production called the loudness wars, and that has to do

689
00:38:35,600 --> 00:38:38,200
Speaker 6: with compression about like making something as loud as you can.

690
00:38:38,480 --> 00:38:42,080
Speaker 4: The only way you can make something louder is by reducing.

691
00:38:41,520 --> 00:38:45,520
Speaker 6: The peak value, like the luffs is what it's called

692
00:38:45,640 --> 00:38:48,440
Speaker 6: loudness units over time. And in order to do that,

693
00:38:48,440 --> 00:38:51,040
Speaker 6: you got to make the quiet parts, the loud parts quiet,

694
00:38:51,239 --> 00:38:53,000
Speaker 6: and the quiet parts loud so everything's the same. Then

695
00:38:53,040 --> 00:38:55,160
Speaker 6: you can just make the whole thing bigger, make the

696
00:38:55,160 --> 00:38:57,840
Speaker 6: whole thing louder. And it's not good because it reduces

697
00:38:57,800 --> 00:39:00,800
Speaker 6: the dynamics, and it reduces the you know, the differences

698
00:39:00,840 --> 00:39:03,239
Speaker 6: between loud and quiet, which is so much of what

699
00:39:03,360 --> 00:39:05,600
Speaker 6: makes music exciting and interesting.

700
00:39:05,680 --> 00:39:07,640
Speaker 4: I think, so there you go, y'all.

701
00:39:07,640 --> 00:39:09,680
Speaker 6: Sorry if I went a little long on those interesting

702
00:39:09,800 --> 00:39:12,280
Speaker 6: talk about the Disney stuff and look forward to following

703
00:39:13,040 --> 00:39:16,120
Speaker 6: the the HBO.

704
00:39:15,920 --> 00:39:17,879
Speaker 4: Debacle as well. Are we max again?

705
00:39:17,920 --> 00:39:18,040
Speaker 6: Now?

706
00:39:18,080 --> 00:39:19,719
Speaker 4: Are we HBO max again? Now?

707
00:39:19,760 --> 00:39:19,960
Speaker 6: Ben?

708
00:39:20,080 --> 00:39:23,160
Speaker 4: Is it actually officially re rolled out?

709
00:39:23,880 --> 00:39:24,000
Speaker 3: Well?

710
00:39:24,040 --> 00:39:27,279
Speaker 6: I believe it's Max dot com here go, which is

711
00:39:27,320 --> 00:39:29,440
Speaker 6: so funny because the Wen already have Cinemax and anyway,

712
00:39:29,600 --> 00:39:31,319
Speaker 6: neither you're nor there. Let's take a quick break here,

713
00:39:31,280 --> 00:39:32,799
Speaker 6: work from a response, and they'll be back with some

714
00:39:32,800 --> 00:39:34,000
Speaker 6: more strange news.

715
00:39:39,040 --> 00:39:40,080
Speaker 4: And we've returned.

716
00:39:40,200 --> 00:39:45,280
Speaker 2: We're increasing the dynamics of this episode by going quieter here.

717
00:39:46,719 --> 00:39:48,440
Speaker 2: I've got two days. I want to start with you guys.

718
00:39:49,800 --> 00:39:53,120
Speaker 2: This is a bit of the downer part of the episode,

719
00:39:53,160 --> 00:39:56,040
Speaker 2: so apologies. We'll have some ups and downs in dynamics

720
00:39:56,080 --> 00:39:58,400
Speaker 2: as well, yep. But first of all, I just want

721
00:39:58,440 --> 00:40:03,320
Speaker 2: to say we were really saddened a lot of folks

722
00:40:03,440 --> 00:40:06,720
Speaker 2: on on my team and you guys probably as well,

723
00:40:06,800 --> 00:40:09,479
Speaker 2: because I been I know you had a little direct

724
00:40:09,520 --> 00:40:11,520
Speaker 2: I don't know if he had direct contact with this actor,

725
00:40:11,560 --> 00:40:15,359
Speaker 2: but he worked on a show that you also worked on, Yes,

726
00:40:15,840 --> 00:40:20,080
Speaker 2: Jonathan Joss, who was the voice of John Redcorn and

727
00:40:20,200 --> 00:40:22,719
Speaker 2: King of the Hill. He was a voice of I

728
00:40:22,960 --> 00:40:25,360
Speaker 2: think Chief Ken was the character's name on Parks and

729
00:40:25,440 --> 00:40:28,360
Speaker 2: rec a bunch of other stuff this actor has done.

730
00:40:28,520 --> 00:40:31,959
Speaker 3: He unformed a tremendous person as well. Yeah, yeah, which

731
00:40:32,000 --> 00:40:35,200
Speaker 3: is way more important than like celebrity status, Like an actual,

732
00:40:35,400 --> 00:40:36,600
Speaker 3: genuine good dude.

733
00:40:36,800 --> 00:40:40,240
Speaker 2: Yeah, really cool verson that we got to work with personally,

734
00:40:40,320 --> 00:40:43,360
Speaker 2: and you know, be on zoom calls where he's recording

735
00:40:43,440 --> 00:40:47,000
Speaker 2: audio for a show that we made called Bridgewater, and

736
00:40:47,239 --> 00:40:49,160
Speaker 2: he's just a really great human being.

737
00:40:49,360 --> 00:40:52,879
Speaker 6: I didn't know that that's that's my gosh.

738
00:40:53,000 --> 00:40:55,719
Speaker 2: Yeah, it was just really sad when we recorded with him.

739
00:40:55,719 --> 00:40:59,560
Speaker 2: I specifically remember the studio he was in at his house.

740
00:40:59,840 --> 00:41:02,799
Speaker 2: He had I don't even know, I didn't count how

741
00:41:02,800 --> 00:41:05,319
Speaker 2: many awesome lights he had in the background, but they

742
00:41:05,360 --> 00:41:08,280
Speaker 2: were all those like multicolored lights that did different things.

743
00:41:08,800 --> 00:41:11,719
Speaker 2: It looked like a party at his house, and it

744
00:41:11,760 --> 00:41:15,600
Speaker 2: was just a really cool vibe. Just gonna I'm just

745
00:41:15,680 --> 00:41:17,040
Speaker 2: very sad into that guy's passing.

746
00:41:17,080 --> 00:41:19,520
Speaker 4: Well, just the hatred behind the crime.

747
00:41:19,640 --> 00:41:21,600
Speaker 6: I mean, it just seemed like there was a targeted

748
00:41:21,640 --> 00:41:26,720
Speaker 6: act of absolute homophobia and xenophobia and like just a

749
00:41:27,160 --> 00:41:30,439
Speaker 6: like just absolute, like a campaign of terror against this man.

750
00:41:31,080 --> 00:41:34,080
Speaker 3: And I did not agree with the way a lot

751
00:41:34,080 --> 00:41:38,520
Speaker 3: of the initial reporting went, especially because they're missing those

752
00:41:38,960 --> 00:41:43,319
Speaker 3: those parts about hate crimes and harassment and prejudice. And

753
00:41:43,360 --> 00:41:47,480
Speaker 3: we have to remember, you know, whenever you hear stories

754
00:41:47,520 --> 00:41:50,440
Speaker 3: like this, it's different because we were personally connected with

755
00:41:50,480 --> 00:41:53,680
Speaker 3: an actually human being, right, we hear these stories the

756
00:41:53,760 --> 00:41:58,520
Speaker 3: ephemera that wants you to always just like clock into

757
00:41:58,640 --> 00:42:02,919
Speaker 3: the most vicious sounding thing and then to deify celebrities

758
00:42:02,920 --> 00:42:06,839
Speaker 3: who were just people. Just treat celebrities like people. It's

759
00:42:06,880 --> 00:42:10,239
Speaker 3: sick how this country is always asking people to deify

760
00:42:10,640 --> 00:42:14,640
Speaker 3: or vilify folks. You know. That's why I get tired

761
00:42:14,800 --> 00:42:18,640
Speaker 3: of celebrity news, because it's it's unfair to the subject,

762
00:42:18,680 --> 00:42:22,080
Speaker 3: it's unfair to the audience. But this was a really

763
00:42:22,239 --> 00:42:29,759
Speaker 3: genuinely good dude, and the manner of the harassment and

764
00:42:30,200 --> 00:42:33,400
Speaker 3: the crimes against him, I think it needs to be

765
00:42:33,480 --> 00:42:36,200
Speaker 3: further acknowledged because it's just unclean, are.

766
00:42:36,360 --> 00:42:40,000
Speaker 6: Yeah, I mean, I think it's trigger warrion, and honestly,

767
00:42:40,040 --> 00:42:43,959
Speaker 6: some of the stuff that we're talking about, like harm

768
00:42:44,040 --> 00:42:48,760
Speaker 6: to animals and things like, I mean really really brutal, brutal, respicable,

769
00:42:48,920 --> 00:42:50,800
Speaker 6: and there is a person in custody, if I'm not mistaken.

770
00:42:50,800 --> 00:42:53,440
Speaker 6: I just was so direct floor by the headlines. I

771
00:42:53,480 --> 00:42:55,600
Speaker 6: did not even get that far.

772
00:42:55,719 --> 00:42:58,520
Speaker 3: And even though on a sad note, I think we

773
00:42:58,560 --> 00:43:02,319
Speaker 3: can find positivity. And here, Matt, I really appreciate you

774
00:43:02,560 --> 00:43:06,200
Speaker 3: bringing up and focusing on the fact that this human

775
00:43:06,320 --> 00:43:11,920
Speaker 3: being was again a tremendous, genuine and phenomenally talented person,

776
00:43:12,560 --> 00:43:14,600
Speaker 3: and I don't want to lose sight about that in

777
00:43:14,600 --> 00:43:18,440
Speaker 3: this crazy, just stupid rush people have about celebrities. You know.

778
00:43:18,600 --> 00:43:22,320
Speaker 2: Oh yeah, My big takeaway is just the positivity he

779
00:43:22,400 --> 00:43:25,720
Speaker 2: brought to you. Again, I only interacted with him virtually

780
00:43:25,920 --> 00:43:27,920
Speaker 2: over one of these that we're doing right now, but

781
00:43:28,200 --> 00:43:31,320
Speaker 2: just the positivity that shone through you know, his camera

782
00:43:31,360 --> 00:43:33,920
Speaker 2: and audio. You're like, oh dang, that is cool person.

783
00:43:35,280 --> 00:43:38,040
Speaker 3: So that's a life we're sick too, right, Oh yeah, well.

784
00:43:37,880 --> 00:43:39,480
Speaker 2: I mean again, like it was part of that.

785
00:43:39,440 --> 00:43:42,120
Speaker 6: Whole that's a personality thing, right, It's due that wanted

786
00:43:42,160 --> 00:43:45,000
Speaker 6: to be surrounded by quirky, fun funds, you know, like,

787
00:43:45,120 --> 00:43:45,800
Speaker 6: I mean, come.

788
00:43:45,640 --> 00:43:48,799
Speaker 2: On, and he was so happy to be doing voice work,

789
00:43:48,840 --> 00:43:52,040
Speaker 2: and you're just like, yes, it is a cool job.

790
00:43:52,360 --> 00:43:56,360
Speaker 2: Awesome man, let's do this. So any let's let's Johonadan

791
00:43:56,440 --> 00:43:59,920
Speaker 2: will remember and we'll think more about that. We'll talk

792
00:44:00,040 --> 00:44:02,840
Speaker 2: more about it if we need to, but for now,

793
00:44:03,000 --> 00:44:05,160
Speaker 2: let's just one other thing I wanted to bring up here, Ben,

794
00:44:05,200 --> 00:44:07,880
Speaker 2: you were talking about those moments in history, like Franz

795
00:44:07,920 --> 00:44:11,280
Speaker 2: Ferdinand that will be looked back at historians, but maybe

796
00:44:11,280 --> 00:44:15,319
Speaker 2: not everybody in the present moment fully clocks the significance of.

797
00:44:15,840 --> 00:44:18,759
Speaker 3: We'll be seen as a tipping point in retrospect exactly.

798
00:44:19,200 --> 00:44:21,920
Speaker 2: I just wanted to point out this thing that happened yesterday,

799
00:44:22,000 --> 00:44:25,879
Speaker 2: as we record on Tuesday, June third, there was a

800
00:44:26,480 --> 00:44:30,920
Speaker 2: you know, there's the ongoing war between Russia and Ukraine

801
00:44:31,000 --> 00:44:33,919
Speaker 2: right now, and a lot of them. There's so many

802
00:44:33,960 --> 00:44:37,960
Speaker 2: news stories happening in cycles about everything that's happening there,

803
00:44:37,960 --> 00:44:40,960
Speaker 2: and so many developments, so many fronts, so many things

804
00:44:41,000 --> 00:44:45,560
Speaker 2: happening that's hard to even really see specific instances anymore,

805
00:44:45,600 --> 00:44:48,520
Speaker 2: at least for me as somebody who's attempting to observe

806
00:44:48,600 --> 00:44:52,160
Speaker 2: the whole thing. There's a moment that occurred on June

807
00:44:52,239 --> 00:44:58,840
Speaker 2: third where Ukraine forces used explosives over several months, like

808
00:44:58,920 --> 00:45:03,360
Speaker 2: planted explosives on a specific bridge that is a strategic

809
00:45:03,440 --> 00:45:08,440
Speaker 2: connection point from Russia into Crimea, which is an area

810
00:45:08,480 --> 00:45:11,080
Speaker 2: that they the country had previously annexed and you know,

811
00:45:11,120 --> 00:45:17,000
Speaker 2: fought a war over. But just the fact that these

812
00:45:17,040 --> 00:45:20,680
Speaker 2: strategic points of access for like bringing in more troops,

813
00:45:20,680 --> 00:45:23,279
Speaker 2: bringing in you know, more supplies, anything like that, or

814
00:45:23,320 --> 00:45:27,560
Speaker 2: being targeted, it feels like the kind of escalation, you know,

815
00:45:27,600 --> 00:45:29,440
Speaker 2: not only the stuff where there have been attacks like

816
00:45:29,520 --> 00:45:32,960
Speaker 2: deep within Russia from the Ukraine side, where a lot

817
00:45:32,960 --> 00:45:36,000
Speaker 2: of the people allied with Ukraine are sending longer range

818
00:45:36,040 --> 00:45:36,920
Speaker 2: missiles and things.

819
00:45:36,960 --> 00:45:40,440
Speaker 3: Now those forty one planes got absolutely walloped.

820
00:45:40,560 --> 00:45:43,440
Speaker 2: Yeah, yeah, there's just stuff happening right now in that

821
00:45:45,320 --> 00:45:49,520
Speaker 2: In that situation, there feels like to me, it's going

822
00:45:49,600 --> 00:45:51,440
Speaker 2: to be the stuff that's written about as Oh and

823
00:45:51,480 --> 00:45:55,040
Speaker 2: then on this day this happened, which then triggered this

824
00:45:55,120 --> 00:45:59,439
Speaker 2: other thing, which then caused you know, full scale whatever.

825
00:46:00,040 --> 00:46:02,160
Speaker 3: Because there's somewhat around to write about it later.

826
00:46:02,560 --> 00:46:04,000
Speaker 2: Yeah, Yeah, that's the hope.

827
00:46:04,120 --> 00:46:08,240
Speaker 3: That's that's the hope. Otherwise, in a world bereft of humans.

828
00:46:08,640 --> 00:46:11,360
Speaker 3: It's just going to be the descendants of chat GPT

829
00:46:11,880 --> 00:46:16,640
Speaker 3: rewriting their own interpretations of what was posted. You know

830
00:46:16,680 --> 00:46:20,200
Speaker 3: what I mean, because social media about Russian Ukraine in

831
00:46:20,280 --> 00:46:22,000
Speaker 3: the time the humans were around.

832
00:46:22,360 --> 00:46:26,480
Speaker 2: Yeah, the time the humans were doing stuff. Speaking of

833
00:46:26,640 --> 00:46:30,560
Speaker 2: humans doing stuff. Oh wow, let's switch gears again. Yeah,

834
00:46:30,760 --> 00:46:32,560
Speaker 2: let's jump to a story. I think we talked about

835
00:46:32,560 --> 00:46:34,520
Speaker 2: it on listener mail. No, I think it was a

836
00:46:34,560 --> 00:46:36,040
Speaker 2: story you brought up, but I can't remember.

837
00:46:36,160 --> 00:46:36,440
Speaker 4: Guys.

838
00:46:36,560 --> 00:46:39,880
Speaker 2: It was this weird crypto case where there was some

839
00:46:39,960 --> 00:46:41,480
Speaker 2: kidnapping going oh yeah.

840
00:46:41,360 --> 00:46:45,160
Speaker 6: Yeah, the torture, yeah, and like using electrodes and all

841
00:46:45,239 --> 00:46:47,960
Speaker 6: kinds of horrible pistol whipping, really really awful stuff.

842
00:46:48,040 --> 00:46:51,160
Speaker 3: Yes. Eric Adams, number one New York City mayor.

843
00:46:51,560 --> 00:46:53,440
Speaker 2: Yeah right, we're better than.

844
00:46:53,280 --> 00:46:56,879
Speaker 3: The mayor and Ghostbusters guys. He's great for Turkey, He's

845
00:46:57,080 --> 00:46:57,840
Speaker 3: huge there.

846
00:46:58,040 --> 00:47:01,520
Speaker 2: So okay, so let's just refresher one of these two guys,

847
00:47:02,000 --> 00:47:07,879
Speaker 2: John Willett's Woe Ltz and William Duplessi. These are two

848
00:47:07,920 --> 00:47:14,000
Speaker 2: gentlemen who are currently under investigation and charged with holding

849
00:47:14,160 --> 00:47:18,920
Speaker 2: this twenty eight year old, wealthy Italian cryptocurrency trader hostage

850
00:47:18,960 --> 00:47:23,680
Speaker 2: for several weeks. And the concept, at least according to authority,

851
00:47:23,760 --> 00:47:27,600
Speaker 2: is that those guys John and William were attempting to

852
00:47:27,760 --> 00:47:30,960
Speaker 2: get this person's Bitcoin password, and there was torture involved,

853
00:47:30,960 --> 00:47:33,759
Speaker 2: all kinds of stuff according to the findings and the

854
00:47:33,800 --> 00:47:36,200
Speaker 2: evidence in the place where these two gentlemen were keeping

855
00:47:36,200 --> 00:47:39,840
Speaker 2: this guy captive. There is a weird little wrinkle in

856
00:47:39,880 --> 00:47:42,960
Speaker 2: a little tiny news story that came out. And as

857
00:47:43,000 --> 00:47:45,040
Speaker 2: you said, Ben, you said, the keyword there new York

858
00:47:45,080 --> 00:47:47,480
Speaker 2: City Mayor Eric Adams. That's the keyword. The reason why

859
00:47:47,520 --> 00:47:50,799
Speaker 2: it's even newsworthy. There's a gentleman who was a part

860
00:47:50,880 --> 00:47:56,160
Speaker 2: of Eric adams security detail who allegedly is the human

861
00:47:56,200 --> 00:48:00,560
Speaker 2: being that picked up this guy that got cap was

862
00:48:00,560 --> 00:48:02,920
Speaker 2: held hostage. He picked him up from the airport and

863
00:48:03,000 --> 00:48:05,400
Speaker 2: took him to the place where he was held captive.

864
00:48:05,520 --> 00:48:07,120
Speaker 4: No, I have not heard this.

865
00:48:07,680 --> 00:48:10,600
Speaker 2: Yes, but he was he was off duty at the time,

866
00:48:10,680 --> 00:48:12,759
Speaker 2: at least according to you know, he wasn't on his

867
00:48:13,560 --> 00:48:14,680
Speaker 2: Eric Adams detail.

868
00:48:14,960 --> 00:48:18,719
Speaker 3: Sure, it's a gig economy, it is, but that's the thing.

869
00:48:18,800 --> 00:48:21,520
Speaker 2: It actually is a gig economy. And if he works security,

870
00:48:21,640 --> 00:48:24,440
Speaker 2: and you've got somebody who's wealthy, who was paying you

871
00:48:24,520 --> 00:48:28,400
Speaker 2: to do stuff. Being you know, a chauffeur from the

872
00:48:28,400 --> 00:48:34,040
Speaker 2: airport isn't a big deal and may even not mean anything.

873
00:48:34,080 --> 00:48:36,080
Speaker 2: And he literally just dropped a guy off that he

874
00:48:36,080 --> 00:48:39,200
Speaker 2: thought was a guest of his employer. Right, but it

875
00:48:39,320 --> 00:48:43,680
Speaker 2: sure is weird to have those two worlds collide right there.

876
00:48:46,520 --> 00:48:51,799
Speaker 3: Yeah, it's gonna be interesting to hear more about that

877
00:48:51,880 --> 00:48:55,640
Speaker 3: news because it's funny. I was thinking about this earlier, Matt.

878
00:48:55,680 --> 00:49:01,080
Speaker 3: There's this confluence of the average person and being able

879
00:49:01,160 --> 00:49:04,919
Speaker 3: to learn more right at a faster pace, a more

880
00:49:04,960 --> 00:49:08,240
Speaker 3: shallow pace, but a definitely a faster pace than ever before.

881
00:49:08,760 --> 00:49:13,960
Speaker 3: And then the question becomes, are we seeing more connections

882
00:49:14,080 --> 00:49:18,400
Speaker 3: that have already existed? Are we discovering new connections? Or

883
00:49:18,440 --> 00:49:21,880
Speaker 3: has the entire world of the powerful also always been

884
00:49:21,960 --> 00:49:24,720
Speaker 3: kind of like this? And now you know, like, they're

885
00:49:24,719 --> 00:49:28,360
Speaker 3: not extra skeletons in the close I'm pointing at a closet.

886
00:49:28,480 --> 00:49:33,120
Speaker 3: They're not extra skeletons in the closet. They're just better flashlights. Now, yeah,

887
00:49:33,239 --> 00:49:36,000
Speaker 3: I mean, and I think the flashlight answer is correct.

888
00:49:36,560 --> 00:49:38,600
Speaker 4: Yeah, phones even have a flashlight built in.

889
00:49:38,719 --> 00:49:43,200
Speaker 2: It's crazy, dude, right, And they're also it feels like

890
00:49:43,239 --> 00:49:47,040
Speaker 2: there are more ways to reflect. I'm just joking.

891
00:49:47,080 --> 00:49:49,279
Speaker 4: I was going to do a thing. He's got this.

892
00:49:50,800 --> 00:49:54,480
Speaker 6: Yeah great, I think we might be getting into more

893
00:49:54,560 --> 00:49:55,200
Speaker 6: videos soon.

894
00:49:55,239 --> 00:49:55,799
Speaker 3: But I boil.

895
00:49:55,800 --> 00:49:57,040
Speaker 6: I wish you could see you're gonna have to go

896
00:49:57,040 --> 00:49:59,240
Speaker 6: on vacation again to that same exact resort.

897
00:50:00,200 --> 00:50:01,719
Speaker 2: No, I'm just gonna build one of these.

898
00:50:04,200 --> 00:50:07,520
Speaker 3: Yeah, what are what are the mirror tariffs? Right now?

899
00:50:07,920 --> 00:50:08,920
Speaker 3: I haven't looked that up.

900
00:50:09,120 --> 00:50:12,200
Speaker 2: Wait, isn't that a thing in like esoteric thought that

901
00:50:12,239 --> 00:50:14,839
Speaker 2: if you put two mirrors facing each other you could

902
00:50:14,880 --> 00:50:16,240
Speaker 2: create a portal of some sort.

903
00:50:16,560 --> 00:50:21,560
Speaker 3: Well, fung Shui doesn't like it bad times. Yeah, it's

904
00:50:21,560 --> 00:50:23,799
Speaker 3: basically a Oija board for the wall.

905
00:50:24,239 --> 00:50:28,600
Speaker 2: Amazing. Well, let's build podcastingja boards and see what happens.

906
00:50:29,040 --> 00:50:31,720
Speaker 3: Oh man, Okay, I have so many other Eric Adams

907
00:50:31,880 --> 00:50:36,000
Speaker 3: questions for off air, but yeah, okay, So again, what

908
00:50:36,080 --> 00:50:41,080
Speaker 3: we're saying is interesting confluence. Does it tell us anything

909
00:50:41,160 --> 00:50:43,360
Speaker 3: other than that's interesting?

910
00:50:43,400 --> 00:50:47,160
Speaker 2: There's nothing other than it's just it's strange in it's news.

911
00:50:47,239 --> 00:50:49,040
Speaker 2: So guess what it's in this episode?

912
00:50:49,200 --> 00:50:51,240
Speaker 3: There we got strange news segment.

913
00:50:52,640 --> 00:50:54,840
Speaker 2: But last little thing I want to talk about today.

914
00:50:55,719 --> 00:50:58,879
Speaker 4: Guys, you remember that Jeffrey upstea guy. Oh yeah, it's

915
00:50:59,400 --> 00:51:06,480
Speaker 4: a court of law as a kangaroo course is well. A.

916
00:51:06,840 --> 00:51:10,400
Speaker 2: There are two recent interviews that occurred on Fox News

917
00:51:10,920 --> 00:51:15,840
Speaker 2: where two very important, influential, powerful human beings went on

918
00:51:15,920 --> 00:51:18,880
Speaker 2: and gave separate interviews, and one of the topics that

919
00:51:18,960 --> 00:51:21,720
Speaker 2: came up in both of those interviews was Jeffrey Epstein.

920
00:51:22,800 --> 00:51:26,319
Speaker 2: And I just want to jump to this is all

921
00:51:26,360 --> 00:51:29,120
Speaker 2: to get this quote out on the air again, because

922
00:51:29,160 --> 00:51:32,359
Speaker 2: I think it's fascinating that it's still a question. People

923
00:51:32,400 --> 00:51:36,720
Speaker 2: are still interested. And then even the forces, the powerful

924
00:51:36,760 --> 00:51:42,719
Speaker 2: people that maybe believed or represent in some way, the

925
00:51:43,360 --> 00:51:46,000
Speaker 2: faction of people including me a little bit, who believe

926
00:51:46,080 --> 00:51:49,920
Speaker 2: that Jeffrey Epstein didn't just kill himself, that there was

927
00:51:49,960 --> 00:51:53,040
Speaker 2: something else to that, whether it was coercion or you know,

928
00:51:53,480 --> 00:51:57,520
Speaker 2: something occurred there to me for me personally, right, and

929
00:51:57,520 --> 00:51:58,080
Speaker 2: that's believed.

930
00:51:58,120 --> 00:52:00,720
Speaker 3: I would say the majority of the US public agree.

931
00:52:01,960 --> 00:52:05,640
Speaker 2: I think so too, But for me, I just have

932
00:52:05,680 --> 00:52:07,719
Speaker 2: to say it out loud, like when I'm talking about this,

933
00:52:07,800 --> 00:52:10,640
Speaker 2: it is my belief. It's not based on evidence, right,

934
00:52:10,840 --> 00:52:14,240
Speaker 2: It's based on looking at things and feeling a certain

935
00:52:14,280 --> 00:52:19,880
Speaker 2: way about it personally. But even somebody like, how do

936
00:52:19,920 --> 00:52:23,160
Speaker 2: he say his name, Dan Bungino, Dan Bungina, I don't

937
00:52:23,160 --> 00:52:25,759
Speaker 2: know how to say his name, Dan Bungino. Let's say

938
00:52:25,800 --> 00:52:29,359
Speaker 2: Dan Bungino. This is the current deputy director. He went

939
00:52:29,400 --> 00:52:32,840
Speaker 2: on Fox News gave an interview and they're discussing Jeffrey

940
00:52:32,840 --> 00:52:37,960
Speaker 2: Epstein's death, and Dan talks about the surveillance video that

941
00:52:38,280 --> 00:52:41,239
Speaker 2: is allegedly running there of the selling right outside the

942
00:52:41,280 --> 00:52:43,960
Speaker 2: cell that we talked about ages ago when all of

943
00:52:44,000 --> 00:52:47,600
Speaker 2: this went down, and Dan says that there's absolutely zero

944
00:52:47,640 --> 00:52:51,360
Speaker 2: forensic evidence that suggests that any other human being was

945
00:52:51,400 --> 00:52:54,200
Speaker 2: in that cell at any time between the last time

946
00:52:54,239 --> 00:52:56,319
Speaker 2: he was seen by the authorities and then when he

947
00:52:56,400 --> 00:53:00,760
Speaker 2: was found deceased. Here's the quote quote there's no DNA,

948
00:53:00,880 --> 00:53:04,120
Speaker 2: there's no audio, there's no fingerprints, there's no suspects, there's

949
00:53:04,120 --> 00:53:08,120
Speaker 2: no accomplices, there's no tips, there is nothing. And then

950
00:53:08,120 --> 00:53:11,440
Speaker 2: he said, if you have evidence, I am happy to

951
00:53:11,480 --> 00:53:14,080
Speaker 2: see it. The video is clear as day. He's the

952
00:53:14,120 --> 00:53:16,399
Speaker 2: only person in there and the only person coming out.

953
00:53:16,480 --> 00:53:19,399
Speaker 2: You can see it. And you know, to me, Dan

954
00:53:19,480 --> 00:53:21,439
Speaker 2: is one of these people who previously has talked about

955
00:53:21,480 --> 00:53:23,319
Speaker 2: like I don't know this seems fishy. This seems like

956
00:53:23,360 --> 00:53:26,560
Speaker 2: something really went down, and then he's actually finding himself

957
00:53:26,600 --> 00:53:30,360
Speaker 2: in a place where he can truly investigate, right, which

958
00:53:30,560 --> 00:53:32,880
Speaker 2: not many of us are going to get to that

959
00:53:32,920 --> 00:53:35,400
Speaker 2: position where you can really see all the stuff. You

960
00:53:35,440 --> 00:53:39,960
Speaker 2: could say, give me everything you got on Epstein and

961
00:53:40,040 --> 00:53:41,799
Speaker 2: he is saying, look, there's nothing there. If you got

962
00:53:41,800 --> 00:53:43,759
Speaker 2: some more information sent in my way because I want

963
00:53:43,760 --> 00:53:47,600
Speaker 2: to know, it does feel a little bit like we

964
00:53:47,640 --> 00:53:51,920
Speaker 2: can put the concept that he got physically murdered to bed,

965
00:53:52,560 --> 00:53:55,520
Speaker 2: but that it to me, leaves open that whole thing.

966
00:53:55,880 --> 00:53:58,440
Speaker 2: Did somebody have a conversation with him, or his attorney

967
00:53:58,920 --> 00:54:02,480
Speaker 2: or somebody it basically got to him that gave him

968
00:54:02,520 --> 00:54:03,080
Speaker 2: no choice?

969
00:54:04,800 --> 00:54:10,640
Speaker 3: Yeah, right right, I mean the hyoid bone breaking is basic.

970
00:54:12,320 --> 00:54:15,640
Speaker 3: Is just basic physiology. At that point, the question that

971
00:54:15,680 --> 00:54:19,520
Speaker 3: you're asking is I believe the moristute question. In our

972
00:54:19,640 --> 00:54:24,000
Speaker 3: three part series on Epstein and then our later follow ups,

973
00:54:24,040 --> 00:54:28,000
Speaker 3: I think it's a question that we had to incorporate

974
00:54:28,440 --> 00:54:32,960
Speaker 3: in the conversation because of the fact that, yes, there

975
00:54:32,960 --> 00:54:37,439
Speaker 3: are suspicious circumstances, Yes there was a fog of war,

976
00:54:37,760 --> 00:54:42,799
Speaker 3: there was not enough information to draw a conclusive perspective

977
00:54:42,880 --> 00:54:46,359
Speaker 3: on However, I love the point you're making mad about

978
00:54:46,360 --> 00:54:52,200
Speaker 3: the deputy director, the guy who could probably get all

979
00:54:52,239 --> 00:54:57,400
Speaker 3: the evidence. Maybe, but it's still there's so much just

980
00:54:58,840 --> 00:55:02,480
Speaker 3: there is. It's stinks man, Somethings are rotten in the

981
00:55:02,520 --> 00:55:02,960
Speaker 3: lock up.

982
00:55:03,080 --> 00:55:06,320
Speaker 2: But then you've also got Cash, buttel the actual facts

983
00:55:06,719 --> 00:55:10,439
Speaker 2: shut out FBI director coming out and saying, hey, yeah,

984
00:55:10,440 --> 00:55:11,840
Speaker 2: we're actively working on this.

985
00:55:11,920 --> 00:55:14,279
Speaker 3: Still yeah, and he's super qualified.

986
00:55:15,000 --> 00:55:18,879
Speaker 4: Well, plus the name is Cash and that's a sweat name.

987
00:55:20,000 --> 00:55:23,759
Speaker 2: Whatever the qualifications. But people in the positions to do

988
00:55:23,840 --> 00:55:26,440
Speaker 2: the looking are there and they want to do the looking,

989
00:55:26,440 --> 00:55:29,000
Speaker 2: and they are doing the looking. So I'm interested to

990
00:55:29,040 --> 00:55:31,560
Speaker 2: see if anything else comes out.

991
00:55:31,719 --> 00:55:39,320
Speaker 3: Same, especially given the administration's foot dragging of releasing connections

992
00:55:39,520 --> 00:55:43,480
Speaker 3: or releasing you know, the so called Little Black Book information.

993
00:55:43,800 --> 00:55:46,440
Speaker 3: Even if it, you know, let's play game theory for

994
00:55:46,480 --> 00:55:50,720
Speaker 3: a moment. If there's nothing bad, if it does indeed

995
00:55:50,760 --> 00:55:55,239
Speaker 3: support improve the existing mainstream narrative and at the same

996
00:55:55,280 --> 00:56:00,319
Speaker 3: time disproved multiple points of speculation and conspiracy theory, then

997
00:56:00,600 --> 00:56:05,200
Speaker 3: why wouldn't you release it post taste? Why wouldn't you

998
00:56:05,239 --> 00:56:09,840
Speaker 3: come out like if you're not really committee to agro terrorism,

999
00:56:10,080 --> 00:56:14,000
Speaker 3: why wouldn't you tell the FBI immediately, you know, why

1000
00:56:14,000 --> 00:56:16,760
Speaker 3: would you try to lie? That's a teaser for something

1001
00:56:16,760 --> 00:56:18,160
Speaker 3: that will happened later this week.

1002
00:56:18,400 --> 00:56:21,040
Speaker 2: You might not say anything if you're the acting president

1003
00:56:21,520 --> 00:56:26,120
Speaker 2: and you I'm just joking, right, or you know, the

1004
00:56:26,160 --> 00:56:28,040
Speaker 2: Prince of England or whatever.

1005
00:56:28,120 --> 00:56:28,560
Speaker 4: I don't know.

1006
00:56:29,320 --> 00:56:35,920
Speaker 3: God, yeah, never get it. You know, he doesn't sweat,

1007
00:56:36,200 --> 00:56:36,880
Speaker 3: is what he said.

1008
00:56:37,200 --> 00:56:40,239
Speaker 2: The President of the United States and a Prince of

1009
00:56:40,280 --> 00:56:42,520
Speaker 2: England both implicated the same guy.

1010
00:56:43,239 --> 00:56:50,000
Speaker 3: Yeah, like prince yeah, well like a deputy prince.

1011
00:56:50,600 --> 00:56:53,920
Speaker 2: Anyway, we'll learn more about that. One last thing to

1012
00:56:54,080 --> 00:56:57,440
Speaker 2: ruin your week, just a little bit. If you've got time,

1013
00:56:58,120 --> 00:57:03,680
Speaker 2: head on over to the Guardian Slash Environment slash series

1014
00:57:04,040 --> 00:57:07,759
Speaker 2: slash the Age of Extinction. It's a whole thing that

1015
00:57:07,800 --> 00:57:11,280
Speaker 2: The Guardian has a whole series about the Age of extinction.

1016
00:57:11,400 --> 00:57:13,239
Speaker 2: We all find ourselves in right now.

1017
00:57:14,640 --> 00:57:18,160
Speaker 3: Yeah. It reminds me, Matt of Low those many years

1018
00:57:18,200 --> 00:57:24,160
Speaker 3: ago when we were we were looking into neo nicotinoid

1019
00:57:24,320 --> 00:57:29,000
Speaker 3: effects on honeybee populations, which hadn't been proven at that time.

1020
00:57:29,080 --> 00:57:33,800
Speaker 3: And then also we started talking about insect population collapse.

1021
00:57:33,920 --> 00:57:37,200
Speaker 3: Thanks to the help of several academics and fellow conspiracy

1022
00:57:37,200 --> 00:57:40,720
Speaker 3: realist in the crowd. The think about these stories, which

1023
00:57:40,720 --> 00:57:44,600
Speaker 3: I'm sure have to irritate so many scientists, is that

1024
00:57:44,640 --> 00:57:48,040
Speaker 3: it has been shouted from the proverbial rooftops and the

1025
00:57:48,080 --> 00:57:52,560
Speaker 3: tree top canopies for so long. It's happening, and it's

1026
00:57:52,600 --> 00:57:55,840
Speaker 3: so easy for people to say, well, it's not happening

1027
00:57:55,880 --> 00:57:59,440
Speaker 3: to me directly, or it's not affecting me directly, therefore

1028
00:57:59,440 --> 00:58:03,200
Speaker 3: it's not really happening. But it's coming to your door soon,

1029
00:58:03,600 --> 00:58:05,120
Speaker 3: you know, faster than dominoes.

1030
00:58:05,920 --> 00:58:12,080
Speaker 2: Oh it is, And it's genuinely truly terrifying. It's existential

1031
00:58:12,200 --> 00:58:16,000
Speaker 2: threat level stuff. If you look at the subtitle of

1032
00:58:16,040 --> 00:58:19,640
Speaker 2: The Guardian's Age of Extinction series, it says reporting on

1033
00:58:19,720 --> 00:58:24,680
Speaker 2: our catastrophic species loss and ways to tackle the biodiversity crisis,

1034
00:58:25,040 --> 00:58:26,880
Speaker 2: which is nice. They've got that in the end, right.

1035
00:58:27,040 --> 00:58:28,600
Speaker 2: So the thing we always try and do, what's the

1036
00:58:28,640 --> 00:58:31,880
Speaker 2: positive thing, what's the action, what's the good stuff? The

1037
00:58:32,000 --> 00:58:36,160
Speaker 2: problem is we're in a catastrophic species lost situation and

1038
00:58:36,360 --> 00:58:38,960
Speaker 2: there is a story you can read right now, and

1039
00:58:39,280 --> 00:58:41,720
Speaker 2: I wish you would. Again, not going to be great

1040
00:58:41,760 --> 00:58:43,920
Speaker 2: for your psyche, but will be good for you to

1041
00:58:44,000 --> 00:58:47,720
Speaker 2: know and to think about it. Is titled half the

1042
00:58:47,800 --> 00:58:52,560
Speaker 2: Tree of Life colon Ecologists horror as nature reserves are

1043
00:58:52,600 --> 00:58:56,880
Speaker 2: emptied of insects, And it's specifically going on a couple

1044
00:58:57,040 --> 00:59:02,840
Speaker 2: of different entomologists paths. It follows them one particular guy

1045
00:59:02,880 --> 00:59:07,200
Speaker 2: who studied a basically moths and all kinds of insects

1046
00:59:07,200 --> 00:59:11,400
Speaker 2: and a bunch of different species out in Costa Rica.

1047
00:59:11,560 --> 00:59:15,600
Speaker 2: And this it's a beautiful story about when he was

1048
00:59:15,840 --> 00:59:18,959
Speaker 2: brutally injured and he put up sheets around his bed

1049
00:59:18,960 --> 00:59:22,000
Speaker 2: where he was confined out in the wilderness, and would

1050
00:59:22,040 --> 00:59:25,840
Speaker 2: turn a light on inside those sheets, right, and the

1051
00:59:26,040 --> 00:59:29,160
Speaker 2: number of moths, the hundreds and hundreds and hundreds of

1052
00:59:29,240 --> 00:59:31,960
Speaker 2: moths that would gather on his sheet at night and

1053
00:59:32,000 --> 00:59:35,480
Speaker 2: he would study them, and then doing the same thing today,

1054
00:59:36,200 --> 00:59:40,959
Speaker 2: you know, several decades later, and there are a few

1055
00:59:41,040 --> 00:59:43,720
Speaker 2: moths and all of the wilderness that show up on

1056
00:59:43,800 --> 00:59:47,320
Speaker 2: that sheet, which should be like it should be every

1057
00:59:47,400 --> 00:59:49,440
Speaker 2: moth within a certain vicinity.

1058
00:59:49,400 --> 00:59:54,280
Speaker 3: Right, especially you know, depending on the environmental circumstances. But

1059
00:59:54,520 --> 00:59:57,240
Speaker 3: the frightening thing here, and I think any of us

1060
00:59:57,320 --> 00:59:59,520
Speaker 3: who have just me personally spending like a lot of

1061
00:59:59,560 --> 01:00:01,840
Speaker 3: time in the wild, you need to realize this is

1062
01:00:01,840 --> 01:00:05,000
Speaker 3: on a Nature reserve. These are in areas of the

1063
01:00:05,080 --> 01:00:09,800
Speaker 3: wild where human encroachment is purposely limited. Yes, and that also,

1064
01:00:10,080 --> 01:00:13,880
Speaker 3: like any of us who do enjoy being outdoors, if

1065
01:00:13,880 --> 01:00:16,320
Speaker 3: you are past a certain age, you have noticed a

1066
01:00:16,360 --> 01:00:20,880
Speaker 3: steep decline in a lot of wildlife, right, and it's

1067
01:00:21,200 --> 01:00:27,760
Speaker 3: it's frightening. It's a political it's real, it's happening. Please Also,

1068
01:00:27,880 --> 01:00:29,880
Speaker 3: and since we talked about positive note, I do have

1069
01:00:29,920 --> 01:00:35,000
Speaker 3: one thing to add. There's a Popular Science article that

1070
01:00:35,160 --> 01:00:39,560
Speaker 3: gives us maybe some other news about insects. Researchers have

1071
01:00:39,680 --> 01:00:43,640
Speaker 3: recently genetically altered fruitflies so that they crave cocaine.

1072
01:00:43,880 --> 01:00:46,880
Speaker 4: Oh jeez, that's what we need, cooked up fruit flies.

1073
01:00:47,560 --> 01:00:48,600
Speaker 3: Right, the time has come.

1074
01:00:50,520 --> 01:00:54,040
Speaker 2: This guy's got a lot of fruitflies in his apartment.

1075
01:00:55,400 --> 01:00:58,520
Speaker 3: Right, that's his that's his sheet. Three eggs over for

1076
01:00:58,640 --> 01:01:01,320
Speaker 3: the moths. That's how Oh, that's how they'll bust folks

1077
01:01:01,400 --> 01:01:01,640
Speaker 3: in the.

1078
01:01:01,560 --> 01:01:03,600
Speaker 4: Future, like a moth to a coach.

1079
01:01:03,800 --> 01:01:06,880
Speaker 3: That's actually a really good idea for law enforcement. Isn't

1080
01:01:06,920 --> 01:01:11,120
Speaker 3: it terrifying? You had a fruitfly swarm gun step aside

1081
01:01:11,160 --> 01:01:14,960
Speaker 3: super soakers. Oh oh jeez, okay, wait, I thought it

1082
01:01:15,000 --> 01:01:16,960
Speaker 3: was a funny point. And then we made it. It's

1083
01:01:17,000 --> 01:01:18,120
Speaker 3: a terrifying real one.

1084
01:01:18,200 --> 01:01:21,240
Speaker 2: It's all black mirror now all the way down, so

1085
01:01:21,320 --> 01:01:23,080
Speaker 2: all the way down. And that's all I've got.

1086
01:01:23,160 --> 01:01:27,680
Speaker 3: Guys, folks, thank you so much for joining us. We

1087
01:01:27,840 --> 01:01:31,560
Speaker 3: hope this strange news segment has found you well. We

1088
01:01:31,640 --> 01:01:36,240
Speaker 3: cannot wait to hear your thoughts. Is a mass surveillance database. Good?

1089
01:01:36,800 --> 01:01:41,600
Speaker 3: What's your position on nature and nature and coming collapses

1090
01:01:41,600 --> 01:01:44,400
Speaker 3: and apocalypsis? And I'm doing that on purpose because I'm

1091
01:01:44,400 --> 01:01:47,920
Speaker 3: still learning English. Tell us your thoughts on Disney, and

1092
01:01:48,200 --> 01:01:51,960
Speaker 3: of course, tell us your favorite weird amusement parks. We

1093
01:01:52,000 --> 01:01:53,800
Speaker 3: cannot wait to hear from you. You can give us

1094
01:01:53,800 --> 01:01:56,040
Speaker 3: a call on the phone. You can always send us

1095
01:01:56,080 --> 01:01:59,240
Speaker 3: a good old fashioned email, or you can message us

1096
01:01:59,560 --> 01:02:03,160
Speaker 3: on social media so Pallenteer gets a better read on

1097
01:02:03,240 --> 01:02:06,040
Speaker 3: all of us. I'm kidding. They have the emails too,

1098
01:02:06,080 --> 01:02:06,640
Speaker 3: I imagine.

1099
01:02:06,680 --> 01:02:08,680
Speaker 6: So if you'd like, you can find us all over

1100
01:02:08,720 --> 01:02:11,760
Speaker 6: the internetit your social media platform of choice. We are

1101
01:02:11,800 --> 01:02:15,080
Speaker 6: Conspiracy Stuff on YouTube, which is kind of a social

1102
01:02:15,120 --> 01:02:17,680
Speaker 6: media platform or a streaming thing. I don't even know

1103
01:02:17,760 --> 01:02:20,520
Speaker 6: what it is. It's comments. You can't comment on Netflix.

1104
01:02:20,880 --> 01:02:23,880
Speaker 6: You can find us at Conspiracy Stuff on that as

1105
01:02:23,880 --> 01:02:25,840
Speaker 6: well as on Facebook. We have our Facebook group here

1106
01:02:25,880 --> 01:02:28,480
Speaker 6: is where it gets crazy, and on xfka, Twitter, on

1107
01:02:28,520 --> 01:02:31,480
Speaker 6: Instagram and TikTok or conspiracy Stuff show.

1108
01:02:32,000 --> 01:02:32,960
Speaker 4: On the phone lines.

1109
01:02:33,160 --> 01:02:39,000
Speaker 2: We are one eight three three st d WYTK. When

1110
01:02:39,040 --> 01:02:42,920
Speaker 2: you call in, you will find yourself inside a voicemail.

1111
01:02:43,160 --> 01:02:45,760
Speaker 2: You have three minutes to be in that voicemail. Give

1112
01:02:45,760 --> 01:02:47,720
Speaker 2: yourself a cool nickname in there and let us know

1113
01:02:47,760 --> 01:02:49,640
Speaker 2: whether or not we can use your name and message

1114
01:02:49,680 --> 01:02:53,200
Speaker 2: on the air. If you'd like to instead send us words,

1115
01:02:53,680 --> 01:02:55,760
Speaker 2: why not send us a good old fashioned email.

1116
01:02:55,840 --> 01:02:59,440
Speaker 3: We are the entities that read each piece of correspondence

1117
01:02:59,480 --> 01:03:02,720
Speaker 3: we receive. Hundreds of prisoners have escaped after an earthquake

1118
01:03:02,760 --> 01:03:06,080
Speaker 3: in Pakistan. Be well aware, yet unafraid. Sometimes the void

1119
01:03:06,160 --> 01:03:26,680
Speaker 3: writes back conspiracy at iHeartRadio dot com.

1120
01:03:26,840 --> 01:03:28,920
Speaker 2: Stuff they don't want you to know is a production

1121
01:03:29,000 --> 01:03:33,560
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app,

1122
01:03:33,640 --> 01:03:37,000
Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.