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 --> 00:00:17,560
Speaker 1: production of iHeartRadio.

5
00:00:24,520 --> 00:00:26,760
Speaker 2: Hello, welcome back to the show. My name is Matt,

6
00:00:26,920 --> 00:00:27,720
Speaker 2: my name is Noel.

7
00:00:27,920 --> 00:00:30,520
Speaker 3: They call me Ben. We're joined as always with our

8
00:00:30,600 --> 00:00:34,519
Speaker 3: super producer Andrew the try Force Howard. Most importantly, you

9
00:00:34,600 --> 00:00:38,120
Speaker 3: are you. You are here. That makes this the stuff

10
00:00:38,240 --> 00:00:41,640
Speaker 3: they don't want you to know. If you are listening

11
00:00:41,680 --> 00:00:45,320
Speaker 3: to this program on the evening it comes out Welcome

12
00:00:45,360 --> 00:00:50,200
Speaker 3: to February tenth, twenty twenty five. Several of us are

13
00:00:50,280 --> 00:00:53,360
Speaker 3: on the road, and we hope you are doing well

14
00:00:53,400 --> 00:00:58,560
Speaker 3: and having adventures in what someone would call interesting times.

15
00:00:59,000 --> 00:01:01,520
Speaker 3: Quick check in, guys, how are we all feeling?

16
00:01:02,360 --> 00:01:04,720
Speaker 4: I know that old proverb, right, may you live in

17
00:01:04,720 --> 00:01:07,360
Speaker 4: interesting times? Sort of the monkey's paw of it all?

18
00:01:08,200 --> 00:01:11,160
Speaker 4: It's interesting, all right, I'll tell you that. Doing okay though?

19
00:01:11,319 --> 00:01:13,440
Speaker 2: All in all, yeah, I definitely do my best to

20
00:01:13,520 --> 00:01:17,040
Speaker 2: keep on while it feels like chaos is erupting around us.

21
00:01:17,080 --> 00:01:22,399
Speaker 3: All yeah, no kidding, And we're gonna see some of

22
00:01:22,440 --> 00:01:27,479
Speaker 3: this affecting the US, affecting the world abroad heads up.

23
00:01:27,800 --> 00:01:30,840
Speaker 3: A lot of our conversation here is going to be

24
00:01:30,880 --> 00:01:35,679
Speaker 3: about the United States tonight and related things that are

25
00:01:35,720 --> 00:01:40,479
Speaker 3: happening in what you might call the United States hegemonic backyard.

26
00:01:41,040 --> 00:01:43,040
Speaker 3: But I do have some good news as a setup

27
00:01:43,080 --> 00:01:46,920
Speaker 3: for our future listener mail program later this week. Guys,

28
00:01:46,959 --> 00:01:51,520
Speaker 3: has the concept of legal personhood gone too far? It

29
00:01:51,600 --> 00:01:54,680
Speaker 3: turns out a mountain in New Zealand is now legally

30
00:01:54,720 --> 00:01:58,840
Speaker 3: considered a person. I'm profound, So what it's mean?

31
00:01:58,920 --> 00:02:02,480
Speaker 4: Things are great purple mountains, majesty let him have it.

32
00:02:03,080 --> 00:02:06,040
Speaker 4: We talked about the tree that owns itself and after George.

33
00:02:05,760 --> 00:02:10,480
Speaker 3: Georgia, Yeah, I have that note. It totally reminds me that's.

34
00:02:09,760 --> 00:02:12,919
Speaker 4: Something of a form of personhood. If if one can

35
00:02:12,960 --> 00:02:16,960
Speaker 4: own property, I think that implies personhood. Yeah, I don't know.

36
00:02:17,240 --> 00:02:20,480
Speaker 4: Has it gone too far? I mean, isn't our corporations

37
00:02:20,520 --> 00:02:25,079
Speaker 4: technically considered people too? With citizens united in the US? Yeah,

38
00:02:25,120 --> 00:02:27,000
Speaker 4: I think that's gone too far. That's a run of.

39
00:02:27,080 --> 00:02:30,959
Speaker 3: Uck that's paved the way. Check out that story. That's

40
00:02:31,000 --> 00:02:34,919
Speaker 3: just a quick mentioned as we're getting into more serious stuff.

41
00:02:34,960 --> 00:02:37,960
Speaker 3: You know, I always trying to start things and end

42
00:02:38,000 --> 00:02:41,480
Speaker 3: things on a good note these days, because gosh, darting

43
00:02:41,560 --> 00:02:44,239
Speaker 3: guys feels like the world needs it now more than ever.

44
00:02:44,800 --> 00:02:46,720
Speaker 2: Oh, I've got a good one for the opening. If

45
00:02:46,720 --> 00:02:49,560
Speaker 2: you want really fast, please, there's a there's a blind

46
00:02:49,639 --> 00:02:53,520
Speaker 2: man who got his concealed carry permit to like prove

47
00:02:53,560 --> 00:02:56,520
Speaker 2: a point, right. Oh, I mean, well, he always wanted

48
00:02:56,720 --> 00:02:58,720
Speaker 2: a gun and to be able to carry his gun

49
00:02:58,760 --> 00:03:00,000
Speaker 2: with him, and he's got it now.

50
00:03:00,120 --> 00:03:00,320
Speaker 4: Yeah.

51
00:03:00,280 --> 00:03:03,639
Speaker 2: It was to prove a point just basically that if

52
00:03:03,639 --> 00:03:07,200
Speaker 2: he can walk into the office with his seeing ekane,

53
00:03:07,720 --> 00:03:11,640
Speaker 2: you know, and get a concealed carry permit for a gun,

54
00:03:12,240 --> 00:03:14,799
Speaker 2: maybe we should do something because that's a little weird.

55
00:03:15,280 --> 00:03:16,680
Speaker 3: And where was he specifically?

56
00:03:17,160 --> 00:03:20,799
Speaker 2: He was out of Indianapolis. Ah, that is that is

57
00:03:20,800 --> 00:03:22,960
Speaker 2: at least where the story comes to us from.

58
00:03:22,720 --> 00:03:23,919
Speaker 4: The great state of Indiana.

59
00:03:24,040 --> 00:03:27,359
Speaker 3: Yeah, there you go and shout out to Indiana. We're

60
00:03:27,360 --> 00:03:30,080
Speaker 3: going to learn more about Eggs, We're going to learn

61
00:03:30,120 --> 00:03:34,640
Speaker 3: more about Ai the Pentagon, and again, as we said,

62
00:03:34,680 --> 00:03:37,320
Speaker 3: a lot of knock on effects of one of the stories.

63
00:03:37,360 --> 00:03:41,720
Speaker 3: We have to get to this evening, which is loosely

64
00:03:41,880 --> 00:03:47,680
Speaker 3: put Elon Musk either saving the USA or Elon Musk

65
00:03:47,960 --> 00:03:51,120
Speaker 3: versus the USA, depending upon whom you ask.

66
00:03:51,480 --> 00:03:53,400
Speaker 4: Let's hit a quickie little ad break and then we'll

67
00:03:53,440 --> 00:03:54,520
Speaker 4: be right back.

68
00:03:59,720 --> 00:04:04,600
Speaker 3: And we have returned. Gentlemen, I'd like to open this

69
00:04:04,720 --> 00:04:08,640
Speaker 3: part of our Strange News segment with a quick recap

70
00:04:08,760 --> 00:04:12,600
Speaker 3: on a story that we mentioned in passing and that

71
00:04:12,760 --> 00:04:16,400
Speaker 3: it seems a lot of the mainstream media forgot. It

72
00:04:16,560 --> 00:04:20,800
Speaker 3: wasn't that long ago that the news broke. The nation

73
00:04:21,080 --> 00:04:25,720
Speaker 3: of China appeared very much to have hacked the United

74
00:04:25,800 --> 00:04:29,760
Speaker 3: States Treasury, remember talking about this briefly. It wasn't too

75
00:04:29,839 --> 00:04:30,560
Speaker 3: too long ago.

76
00:04:31,360 --> 00:04:35,280
Speaker 4: No, it didn't end up being quite as horrifying as

77
00:04:35,320 --> 00:04:37,599
Speaker 4: that sounded, right, It was sort of a quick event

78
00:04:37,640 --> 00:04:39,080
Speaker 4: that was dealt with more or less.

79
00:04:39,240 --> 00:04:42,160
Speaker 2: Well, that's what we're told, because that is a potentially

80
00:04:42,760 --> 00:04:47,560
Speaker 2: catastrophic event for you know, national security. So you have

81
00:04:47,680 --> 00:04:50,760
Speaker 2: to imagine that the people who allow information out would say, no,

82
00:04:50,839 --> 00:04:52,520
Speaker 2: everything's fine, we're good, we're cool.

83
00:04:52,560 --> 00:04:55,600
Speaker 4: That's of course true. But it was my understanding that

84
00:04:55,640 --> 00:04:58,000
Speaker 4: it wasn't as deep a breach as it could have been.

85
00:04:59,560 --> 00:05:03,560
Speaker 3: Well, that depends upon the reporting that we're reading too.

86
00:05:03,760 --> 00:05:10,560
Speaker 3: You know, we take one particular media outlet at face value,

87
00:05:10,640 --> 00:05:14,600
Speaker 3: do we take the statement of the Treasury at face value?

88
00:05:14,800 --> 00:05:18,360
Speaker 3: What degree of credence do we assign to these various conversations.

89
00:05:18,600 --> 00:05:21,599
Speaker 3: But it does seem like the news sort of forgot

90
00:05:21,640 --> 00:05:26,560
Speaker 3: this hack until quite recently. I mean, I say recently,

91
00:05:26,600 --> 00:05:29,840
Speaker 3: but it's an ongoing event here in the United States.

92
00:05:30,040 --> 00:05:35,440
Speaker 3: One of the world's most well known billionaires, the world's

93
00:05:35,560 --> 00:05:39,200
Speaker 3: richest man as far as documented wealth goes, is as

94
00:05:39,240 --> 00:05:42,200
Speaker 3: we speak, on a bit of a crusade, which I

95
00:05:42,240 --> 00:05:46,360
Speaker 3: know is a charge term these days. He is technically

96
00:05:46,480 --> 00:05:53,320
Speaker 3: an unelected special government employee, his name Elon Musk. He

97
00:05:53,640 --> 00:05:57,760
Speaker 3: and a team of surprisingly young people that continue trying

98
00:05:57,800 --> 00:06:01,159
Speaker 3: to scrub themselves and their identities from the Internet have

99
00:06:01,279 --> 00:06:07,760
Speaker 3: been gaining more and more access to some pretty pretty

100
00:06:07,839 --> 00:06:12,080
Speaker 3: mission critical things here in the United States. This has

101
00:06:12,160 --> 00:06:16,520
Speaker 3: led some people to speculate critics of Musk and critics

102
00:06:16,560 --> 00:06:19,919
Speaker 3: of the current US President Donald Trump, to speculate that

103
00:06:19,960 --> 00:06:24,960
Speaker 3: there is a coup in progress. From tech Dirt by

104
00:06:25,000 --> 00:06:30,040
Speaker 3: Mike Brock, we see a title called a coup in progress.

105
00:06:30,080 --> 00:06:33,039
Speaker 3: So there's you know, we know Mike Brock's angle from

106
00:06:33,040 --> 00:06:36,479
Speaker 3: the jump, which I appreciate. And on February third, Brock

107
00:06:36,600 --> 00:06:39,480
Speaker 3: is saying, look in just the past forty eight hours

108
00:06:39,480 --> 00:06:44,080
Speaker 3: Elon Musk DOGE Commission has seized control of Treasury payment

109
00:06:44,160 --> 00:06:49,560
Speaker 3: systems and granted or gained unauthorized access to classified US

110
00:06:49,600 --> 00:06:55,000
Speaker 3: AID materials. And any security officials who were pushing back

111
00:06:55,000 --> 00:06:58,279
Speaker 3: against this or saying hey, you know, you need a clearance.

112
00:06:58,440 --> 00:07:02,160
Speaker 3: You can't just come in here and access this information,

113
00:07:03,000 --> 00:07:05,080
Speaker 3: they were given the boot.

114
00:07:05,640 --> 00:07:07,760
Speaker 4: Yeah. It's interesting though, because I mean, the idea of

115
00:07:07,760 --> 00:07:11,600
Speaker 4: it being unauthorized. It's like it's unauthorized according to the

116
00:07:11,600 --> 00:07:14,600
Speaker 4: people in charge of this information directly who's charged it,

117
00:07:14,600 --> 00:07:16,840
Speaker 4: as you know, with these departments to oversee this stuff.

118
00:07:17,120 --> 00:07:20,680
Speaker 4: But it was authorized by the president and by the administration.

119
00:07:20,800 --> 00:07:23,440
Speaker 4: The question is the legality of it. And as we

120
00:07:23,520 --> 00:07:26,200
Speaker 4: know the Trump administration in past years in president have

121
00:07:26,280 --> 00:07:28,200
Speaker 4: been fond of doing is kind of just throwing stuff

122
00:07:28,240 --> 00:07:30,240
Speaker 4: at the wall and see what sticks, sort of ask

123
00:07:30,360 --> 00:07:33,360
Speaker 4: for not even forgiveness rather than permission, just kind of

124
00:07:33,400 --> 00:07:36,080
Speaker 4: doing it and then seeing how things shake out after

125
00:07:36,120 --> 00:07:36,560
Speaker 4: the fact.

126
00:07:36,720 --> 00:07:40,360
Speaker 3: Well, it's also part of a classic kind of old school,

127
00:07:41,680 --> 00:07:46,120
Speaker 3: honestly nineteen eighties Wall Street negotiating tactic, which is do

128
00:07:46,320 --> 00:07:49,440
Speaker 3: some beat me here, triforce, do some wild and crazy

129
00:07:50,120 --> 00:07:53,360
Speaker 3: make a wackadu proposal of some sort, and then when

130
00:07:53,400 --> 00:07:56,840
Speaker 3: people naturally react to that, you have set a baseline

131
00:07:57,120 --> 00:07:59,840
Speaker 3: for what is acceptable, and then you can propose that

132
00:08:00,200 --> 00:08:03,320
Speaker 3: you really want to do, and now it seems less crazy,

133
00:08:03,480 --> 00:08:05,760
Speaker 3: you know what I mean. We've a good example of

134
00:08:05,800 --> 00:08:09,200
Speaker 3: this would be Danny DeVito and It's Always Sunny in Philadelphia,

135
00:08:09,640 --> 00:08:13,720
Speaker 3: who runs in in one episode spoiler and tells Dennis

136
00:08:13,720 --> 00:08:17,360
Speaker 3: and d Reynolds your mother is dead. And then they

137
00:08:17,400 --> 00:08:21,680
Speaker 3: say what and he goes, Okay, no, she's not dead. Instead,

138
00:08:23,080 --> 00:08:28,200
Speaker 3: she's giving away our money. So that's kind of the

139
00:08:28,240 --> 00:08:30,880
Speaker 3: same kind of tactic, is what I'm saying for sure.

140
00:08:30,920 --> 00:08:32,960
Speaker 4: And this kind of stuff too, really is sort of

141
00:08:33,280 --> 00:08:37,960
Speaker 4: a classic maybe Wall Street, but specifically kind of Silicon

142
00:08:38,080 --> 00:08:41,040
Speaker 4: Valley approached. It's often referred to as move fast and

143
00:08:41,080 --> 00:08:44,360
Speaker 4: break things. It's this idea that you know, the most

144
00:08:44,400 --> 00:08:49,679
Speaker 4: important thing is incredibly rapid innovation and experimentation and growth,

145
00:08:50,000 --> 00:08:53,200
Speaker 4: even if it causes issues along the way.

146
00:08:54,240 --> 00:08:59,120
Speaker 3: Right this, the startup mentality right, as it's sometimes called,

147
00:09:00,360 --> 00:09:04,000
Speaker 3: are the names of the people that we have seen

148
00:09:04,040 --> 00:09:07,640
Speaker 3: and confirmed to be working with or working for Elon

149
00:09:07,760 --> 00:09:12,360
Speaker 3: Musk in these recent controversial moves. They are the following

150
00:09:12,440 --> 00:09:19,720
Speaker 3: Amanda Scales, Brian Zeld, Ricardo Biassini, Anthony Armstrong, Steve Davis,

151
00:09:19,760 --> 00:09:25,120
Speaker 3: Barris Akis, Thomas shed, Edward Korstein, or Korstein, Russell Vought,

152
00:09:25,320 --> 00:09:31,120
Speaker 3: Michael Peters, Josh grend Baum, and Russell mccranahan. That's rusty

153
00:09:31,240 --> 00:09:34,439
Speaker 3: to his friends. Why are we naming these folks because

154
00:09:35,160 --> 00:09:41,520
Speaker 3: it appears, however you feel about Musk action, that various institutions,

155
00:09:41,679 --> 00:09:47,439
Speaker 3: various media outlets or media owners are actively scrubbing mentions

156
00:09:47,480 --> 00:09:52,600
Speaker 3: of these specific names when they find them on the Internet.

157
00:09:52,679 --> 00:09:55,160
Speaker 3: And if they can do so, that doesn't mean there's

158
00:09:55,160 --> 00:09:59,160
Speaker 3: a crime being committed, but it is really suspicious, and

159
00:09:59,200 --> 00:10:01,400
Speaker 3: it sounds like people who are supposed to be Internet

160
00:10:01,440 --> 00:10:03,760
Speaker 3: savvy they have never heard of the stress end rule?

161
00:10:04,320 --> 00:10:06,679
Speaker 4: Right? And is this coming in some part from this

162
00:10:07,000 --> 00:10:11,760
Speaker 4: Wired article the young inexperienced engineers aiding Elon Musk's government takeover.

163
00:10:12,760 --> 00:10:16,600
Speaker 3: Yeah. Wired article is one of the places I found it. However,

164
00:10:16,720 --> 00:10:20,400
Speaker 3: it actually got for a time, it got pulled from

165
00:10:20,760 --> 00:10:24,240
Speaker 3: Wired or required you to have a subscription. I think

166
00:10:24,280 --> 00:10:28,320
Speaker 3: it came back up due to some outcry, but people

167
00:10:28,360 --> 00:10:31,360
Speaker 3: have archived it were such that you can view it fully.

168
00:10:31,800 --> 00:10:36,160
Speaker 3: The journalist there is Victoria Elliott that published on February second,

169
00:10:36,280 --> 00:10:41,400
Speaker 3: twenty twenty five. These engineers are between nineteen and twenty four,

170
00:10:42,520 --> 00:10:46,719
Speaker 3: the majority of which are linked to other Musk companies,

171
00:10:47,200 --> 00:10:52,480
Speaker 3: and they're playing a big role in some of the

172
00:10:52,520 --> 00:10:58,600
Speaker 3: moves that we're seeing in Musk's DOGE Department of Government Efficiency.

173
00:10:59,240 --> 00:11:03,560
Speaker 3: They were tasked by EO Executive Order with quote modernizing

174
00:11:03,600 --> 00:11:08,920
Speaker 3: federal technology and software to maximize governmental efficiency and productivity.

175
00:11:09,280 --> 00:11:12,560
Speaker 3: And honestly, on the surface, just that sentence, that pull quote,

176
00:11:12,760 --> 00:11:16,200
Speaker 3: that doesn't sound too bad. Everybody's had to deal with

177
00:11:16,720 --> 00:11:21,760
Speaker 3: antiquated government systems at sometime in the US, and who

178
00:11:21,760 --> 00:11:27,199
Speaker 3: doesn't love efficiency and productivity. The problem is that they're

179
00:11:27,720 --> 00:11:31,920
Speaker 3: amid the sheep of those words and that short clause,

180
00:11:32,200 --> 00:11:34,800
Speaker 3: there may be wolves of ulterior motive.

181
00:11:35,679 --> 00:11:37,760
Speaker 4: I mean part of what they've been given access to,

182
00:11:37,920 --> 00:11:41,400
Speaker 4: things like the Social Security funds or the payment systems

183
00:11:41,480 --> 00:11:43,280
Speaker 4: and Office.

184
00:11:42,920 --> 00:11:47,560
Speaker 3: Of Personnel Management, General Services Administration, and of course the

185
00:11:47,640 --> 00:11:51,400
Speaker 3: Treasury's payment system, the Treasury Department's payment system.

186
00:11:51,640 --> 00:11:55,199
Speaker 4: And all of the corresponding data personal data. I think

187
00:11:55,280 --> 00:11:58,400
Speaker 4: the issue that maybe we have and that would seem

188
00:11:58,800 --> 00:12:02,000
Speaker 4: front and center, is that these are non elected officials,

189
00:12:02,040 --> 00:12:05,319
Speaker 4: and that these are folks that represent private industry and

190
00:12:05,360 --> 00:12:08,240
Speaker 4: the conflict of interests are just too many to name.

191
00:12:08,520 --> 00:12:12,480
Speaker 2: Well, yeah, and well, when you look at stuff like Noah,

192
00:12:12,559 --> 00:12:17,360
Speaker 2: the National Oceanic Atmospheric Administration and in places where they're

193
00:12:17,360 --> 00:12:21,800
Speaker 2: going into and appear to be making changes that would

194
00:12:21,800 --> 00:12:24,800
Speaker 2: need to be made or approved at least by Congress

195
00:12:24,920 --> 00:12:29,120
Speaker 2: before major changes could happen, it does feel like they're

196
00:12:29,200 --> 00:12:32,240
Speaker 2: kind of running rough shot over stuff and systems that

197
00:12:32,280 --> 00:12:35,280
Speaker 2: they just shouldn't be able to right.

198
00:12:35,600 --> 00:12:39,040
Speaker 3: Yeah, And that's a pretty astute way to put it.

199
00:12:39,600 --> 00:12:42,480
Speaker 3: The question that a lot of critics have is, you know,

200
00:12:42,600 --> 00:12:45,520
Speaker 3: how is this legal? Where's the pushback? You know, we're

201
00:12:46,040 --> 00:12:50,320
Speaker 3: we probably should mention the FBI is having issues with this.

202
00:12:50,520 --> 00:12:54,920
Speaker 3: The DOJ is in back and forth lawsuit. They attempted

203
00:12:54,920 --> 00:12:57,880
Speaker 3: to sue the Trump administration. The Trump administration just put

204
00:12:57,880 --> 00:13:01,920
Speaker 3: a lawsuit on them the company, and this is going

205
00:13:02,000 --> 00:13:06,760
Speaker 3: to be a problem. I think the CIA itself is

206
00:13:07,280 --> 00:13:13,760
Speaker 3: having some issues. They got the same letter, were that yes, yes,

207
00:13:14,000 --> 00:13:19,079
Speaker 3: and the thing is their real fa FO kind of dudes, spoiler.

208
00:13:20,280 --> 00:13:23,840
Speaker 3: I wouldn't mess with the Latter Day Saints personally. Uh,

209
00:13:24,240 --> 00:13:27,440
Speaker 3: and the I don't know, you guys probably know this already,

210
00:13:27,440 --> 00:13:31,240
Speaker 3: but the company heavily recruits from there. They took all

211
00:13:31,240 --> 00:13:36,760
Speaker 3: the boxes fluency and particular languages due to requisite missionary work.

212
00:13:37,960 --> 00:13:39,840
Speaker 3: Not many vices allowed.

213
00:13:40,520 --> 00:13:42,520
Speaker 4: I didn't know that oil. That makes a lot of sense.

214
00:13:42,600 --> 00:13:45,480
Speaker 3: Oh yeah, man s tier picks, as we would say

215
00:13:45,480 --> 00:13:49,480
Speaker 3: in video games, s tier picks. So this this may

216
00:13:49,559 --> 00:13:53,080
Speaker 3: come back. US aid also has been in the news

217
00:13:53,160 --> 00:13:56,960
Speaker 3: as a result of this. The one of the statements

218
00:13:57,000 --> 00:14:01,840
Speaker 3: that came out from the Musk side was quite recently

219
00:14:02,200 --> 00:14:06,959
Speaker 3: the following they said, look, we have read only access

220
00:14:07,559 --> 00:14:11,600
Speaker 3: to all this Treasury Department financial data, to all this

221
00:14:11,840 --> 00:14:16,600
Speaker 3: personal information about tens of millions of US citizens and businesses.

222
00:14:17,280 --> 00:14:19,480
Speaker 3: But that doesn't I think to your point, in all

223
00:14:19,520 --> 00:14:22,680
Speaker 3: that doesn't really quell the concerns of the critics because

224
00:14:22,680 --> 00:14:26,640
Speaker 3: they're saying because they're saying, Okay, I can't go in

225
00:14:26,920 --> 00:14:31,000
Speaker 3: and legally change somebody's name to Johnny Blue Jeans at

226
00:14:31,040 --> 00:14:33,840
Speaker 3: one two three Main Street in a town where they

227
00:14:33,840 --> 00:14:37,920
Speaker 3: don't live, but I definitely can know where that person lives,

228
00:14:37,960 --> 00:14:42,600
Speaker 3: and I can know their Social Security number, their payment histories,

229
00:14:42,720 --> 00:14:45,640
Speaker 3: I can know what government programs they are affiliated with,

230
00:14:46,040 --> 00:14:49,000
Speaker 3: and for people who are worried about, you know, for

231
00:14:49,040 --> 00:14:52,320
Speaker 3: people who are saying there's something like a coup in progress,

232
00:14:52,640 --> 00:14:56,560
Speaker 3: then that becomes very a very dangerous and scary conversation.

233
00:14:57,680 --> 00:15:00,200
Speaker 4: I guess my question about the coup narrative is like,

234
00:15:00,760 --> 00:15:04,280
Speaker 4: this is all sanctioned by the administration. This is all

235
00:15:04,360 --> 00:15:07,200
Speaker 4: like Project twenty twenty five stuff kind of writ large

236
00:15:07,680 --> 00:15:11,400
Speaker 4: like the dismantling of government or you know, agencies like

237
00:15:11,720 --> 00:15:15,880
Speaker 4: the US Agency for International Development us AID that was

238
00:15:16,040 --> 00:15:19,400
Speaker 4: essentially all of the employees this is an AID relief

239
00:15:20,200 --> 00:15:23,120
Speaker 4: you know, organization wing branch of the government that does

240
00:15:23,400 --> 00:15:26,520
Speaker 4: humanitarian work elsewhere in the world, and things like that.

241
00:15:26,760 --> 00:15:29,920
Speaker 4: They were all called home and Musk recently went on

242
00:15:30,160 --> 00:15:34,880
Speaker 4: a pretty significant screed against it, saying that it was

243
00:15:35,160 --> 00:15:38,600
Speaker 4: a radical left you know branch of the government and

244
00:15:38,680 --> 00:15:41,400
Speaker 4: they deserved to die and things like that. And this

245
00:15:41,440 --> 00:15:43,920
Speaker 4: is all coming directly from my question though about the

246
00:15:43,960 --> 00:15:46,680
Speaker 4: coup is like, isn't this all by design as far

247
00:15:46,760 --> 00:15:49,960
Speaker 4: as the president his administration concern are concerned, or is

248
00:15:50,080 --> 00:15:53,920
Speaker 4: the question here if Musk is taking it farther than

249
00:15:53,920 --> 00:15:57,520
Speaker 4: he's even being given permission to do. Because truth did

250
00:15:57,520 --> 00:16:00,200
Speaker 4: come out and say, you know, they can't do anything

251
00:16:00,640 --> 00:16:04,680
Speaker 4: unless we give them permission, taking advantage of Trump or

252
00:16:05,800 --> 00:16:06,840
Speaker 4: making him his bulldog.

253
00:16:07,000 --> 00:16:11,120
Speaker 3: I'd say it's a mutually beneficial relationship. This type of symbiosis.

254
00:16:11,240 --> 00:16:16,080
Speaker 3: Is it sustainable? Perhaps not for various aspects of each

255
00:16:16,080 --> 00:16:20,800
Speaker 3: individual's psychological profile. However, when their aims align, you know

256
00:16:20,880 --> 00:16:24,480
Speaker 3: what I mean, when both people need to get across

257
00:16:24,520 --> 00:16:28,840
Speaker 3: the river, the scorpion will ride the hippo proverbs.

258
00:16:29,200 --> 00:16:32,320
Speaker 2: You remember that guy been in the Discovery days that

259
00:16:32,400 --> 00:16:35,800
Speaker 2: came through and he was like the new sheriff in town,

260
00:16:36,240 --> 00:16:40,160
Speaker 2: and he was known throughout corporate America as the guy

261
00:16:40,240 --> 00:16:43,840
Speaker 2: that makes cuts. Like yeah, he gets hired by a

262
00:16:43,920 --> 00:16:47,160
Speaker 2: company and just comes through and goes, what's inefficient here?

263
00:16:47,960 --> 00:16:51,720
Speaker 2: You're going, You're gone, You're gone, You're gone. Yeah, that's

264
00:16:51,760 --> 00:16:52,640
Speaker 2: what it feels like to me.

265
00:16:53,280 --> 00:16:57,120
Speaker 3: Yeah, I agree with you and appreciate that. Gosh, that

266
00:16:57,200 --> 00:16:59,760
Speaker 3: shout out to a war story we don't off to.

267
00:17:00,280 --> 00:17:04,480
Speaker 3: But folks, Matt is telling the true story there, and

268
00:17:04,720 --> 00:17:09,280
Speaker 3: we see further conflicts of interest. Okay, this is why

269
00:17:09,320 --> 00:17:14,320
Speaker 3: we're introducing the China aspect of this. China aspect of

270
00:17:14,359 --> 00:17:19,440
Speaker 3: this It's because Musk is in deep with the government

271
00:17:19,480 --> 00:17:23,560
Speaker 3: of China, that in itself is not criminal in any

272
00:17:23,600 --> 00:17:27,240
Speaker 3: way whatsoever. To be clear, China's an economic juggernaut. A

273
00:17:27,280 --> 00:17:30,320
Speaker 3: lot of people want to do business there, and the

274
00:17:30,359 --> 00:17:35,280
Speaker 3: government has very specific rules about how a private company

275
00:17:35,480 --> 00:17:41,960
Speaker 3: interacts with their whole thing. That's the technical that's the

276
00:17:42,000 --> 00:17:47,760
Speaker 3: technical definition for the geopolitics walks. So concerns, again, we're

277
00:17:47,760 --> 00:17:50,960
Speaker 3: trying to be very fair here. Concerns from critics are

278
00:17:51,160 --> 00:17:53,719
Speaker 3: that this will lead to a conflict of interest, that

279
00:17:54,680 --> 00:17:56,800
Speaker 3: on the far side of the spectrum. What they're arguing

280
00:17:57,080 --> 00:18:01,480
Speaker 3: is that Trump is a Russian asset and that Elon

281
00:18:01,600 --> 00:18:05,600
Speaker 3: Musk may be a Chinese asset, or they at the

282
00:18:05,720 --> 00:18:09,640
Speaker 3: very least owe so many favors to those different tables

283
00:18:09,800 --> 00:18:13,960
Speaker 3: in the lunch room that they're taking sandwiches from our

284
00:18:14,000 --> 00:18:19,320
Speaker 3: table on purpose. Because again, regardless of our regardless of

285
00:18:19,320 --> 00:18:23,240
Speaker 3: any political ideology, and nowhere time want to sew this up.

286
00:18:23,280 --> 00:18:27,879
Speaker 3: Regardless of any political ideology, or whom you did or

287
00:18:27,920 --> 00:18:30,000
Speaker 3: did not vote for, et cetera, et cetera, if you

288
00:18:30,119 --> 00:18:37,080
Speaker 3: voted in the United States, it is undeniable that previous propositions.

289
00:18:37,119 --> 00:18:38,720
Speaker 3: I want to be careful how I say this by

290
00:18:38,960 --> 00:18:45,720
Speaker 3: rival foreign governments suggested or dreamed of the exact same

291
00:18:45,960 --> 00:18:50,800
Speaker 3: policy movements that are happening in the United States today.

292
00:18:51,040 --> 00:18:54,639
Speaker 3: You can say, maybe those rival governments were off base.

293
00:18:54,840 --> 00:18:57,800
Speaker 3: Maybe this is actually good for a country. You can say,

294
00:18:57,960 --> 00:19:02,840
Speaker 3: maybe maybe these folks on the other side are Maybe

295
00:19:02,840 --> 00:19:06,640
Speaker 3: the critics are wrong. Maybe the current administration and this

296
00:19:07,800 --> 00:19:11,479
Speaker 3: billionaire who is not getting any rules and again is

297
00:19:11,560 --> 00:19:16,520
Speaker 3: not a permanent or elected or paid government employee. Maybe

298
00:19:16,560 --> 00:19:19,840
Speaker 3: he's doing what he feels in his heart o hearts

299
00:19:20,040 --> 00:19:23,840
Speaker 3: is correct. But you cannot deny this is what historically,

300
00:19:23,960 --> 00:19:26,120
Speaker 3: rival foreign governments have desired.

301
00:19:27,119 --> 00:19:30,160
Speaker 2: Right, well, yeah, what what have we learned? What do

302
00:19:30,200 --> 00:19:34,760
Speaker 2: those governments do before you try and destabilize a state

303
00:19:35,160 --> 00:19:37,480
Speaker 2: or a nation? What do you do before you go

304
00:19:37,560 --> 00:19:40,160
Speaker 2: into a country? Right, we've learned this on the show.

305
00:19:40,600 --> 00:19:43,480
Speaker 2: The first thing you do is destabilize it. And I

306
00:19:43,520 --> 00:19:46,720
Speaker 2: don't know about you guys, but I'm feeling some instability

307
00:19:46,720 --> 00:19:48,640
Speaker 2: happening right now. And if you know, if you're looking

308
00:19:48,680 --> 00:19:51,119
Speaker 2: at a different way, maybe it's it's right sizing things,

309
00:19:51,200 --> 00:19:53,880
Speaker 2: it's getting things where they should be if you're viewing

310
00:19:53,920 --> 00:19:56,240
Speaker 2: it from that angle. But I think if you look

311
00:19:56,280 --> 00:20:01,320
Speaker 2: at it overall, from every angle. It's a destabilization that's

312
00:20:01,320 --> 00:20:02,160
Speaker 2: occurring right now.

313
00:20:02,640 --> 00:20:05,399
Speaker 4: I just wanted to really quickly bring up a quote

314
00:20:05,480 --> 00:20:09,320
Speaker 4: that came out of from recently from a former close

315
00:20:09,400 --> 00:20:14,639
Speaker 4: friend and investment partner of Elon's, a guy named Philip Lowe,

316
00:20:14,720 --> 00:20:17,560
Speaker 4: founder of Neurovigil, which is a company that Musk invested in,

317
00:20:17,640 --> 00:20:19,560
Speaker 4: and I just think he kind of sums up what

318
00:20:19,560 --> 00:20:21,640
Speaker 4: we're talking about here to a degree. From the perspective

319
00:20:21,640 --> 00:20:25,760
Speaker 4: of someone who's known this guy for fifteen years. Elon

320
00:20:25,840 --> 00:20:28,440
Speaker 4: believes he is above everyone else. He used to think

321
00:20:28,480 --> 00:20:30,840
Speaker 4: he worked on the most important problems. When I met him,

322
00:20:30,840 --> 00:20:32,879
Speaker 4: he did not presume to be a technical person. He

323
00:20:32,880 --> 00:20:34,520
Speaker 4: would be the first to say that he lacked the

324
00:20:34,520 --> 00:20:37,920
Speaker 4: expertise to understand certain data that happened later. Now he

325
00:20:38,000 --> 00:20:42,200
Speaker 4: believes he has all the solutions. And last thing, he

326
00:20:42,240 --> 00:20:45,560
Speaker 4: says that is why he likes far right parties because

327
00:20:45,600 --> 00:20:47,119
Speaker 4: they are easier to control.

328
00:20:48,560 --> 00:20:50,960
Speaker 3: And I would like to there's so much more to

329
00:20:51,000 --> 00:20:53,119
Speaker 3: get to. We'll probably follow up on this because it

330
00:20:53,280 --> 00:20:57,040
Speaker 3: is an ongoing story of folks. Would love to hear

331
00:20:57,119 --> 00:21:02,560
Speaker 3: your thoughts conspiracy at iHeartRadio Com. No judgment Again, As

332
00:21:02,600 --> 00:21:06,520
Speaker 3: I said earlier, and repeatedly. We are experiencing this with you.

333
00:21:06,680 --> 00:21:10,679
Speaker 3: We're not working from us right, we have not been hired.

334
00:21:11,320 --> 00:21:14,359
Speaker 3: We don't know what the next steps are, but we

335
00:21:14,480 --> 00:21:18,040
Speaker 3: know this is a very scary time for people. So

336
00:21:18,640 --> 00:21:20,639
Speaker 3: before we go to an ad break, I would like

337
00:21:20,720 --> 00:21:25,000
Speaker 3: to end on a quote often attributed to a former

338
00:21:25,080 --> 00:21:28,440
Speaker 3: amateur wrestler who was also president once upon a time,

339
00:21:28,760 --> 00:21:33,040
Speaker 3: named Abraham Lincoln. America will never be destroyed from the outside.

340
00:21:33,160 --> 00:21:35,960
Speaker 3: If we lose our freedoms, it will be because we

341
00:21:36,040 --> 00:21:40,520
Speaker 3: have destroyed ourselves from within. With that, we'll take a

342
00:21:40,600 --> 00:21:43,000
Speaker 3: quick break for a word from our sponsors. If you

343
00:21:43,080 --> 00:21:45,439
Speaker 3: want to pause and write to us well this is

344
00:21:45,440 --> 00:21:48,240
Speaker 3: fresh in your mind, please we invite you to do so,

345
00:21:48,760 --> 00:21:51,560
Speaker 3: and then we'll return with more strange news.

346
00:21:56,280 --> 00:21:58,920
Speaker 2: And we've returned, jumping to a quick update from a

347
00:21:58,960 --> 00:22:01,760
Speaker 2: story that Noel brought to us last year in April.

348
00:22:02,040 --> 00:22:05,440
Speaker 2: Do you guys remember the name Matthew David Kierans.

349
00:22:05,920 --> 00:22:07,919
Speaker 3: Not Tink David Kurans.

350
00:22:08,920 --> 00:22:11,200
Speaker 2: It's probably too obscure for any of us to remember.

351
00:22:11,280 --> 00:22:14,720
Speaker 2: I didn't remember it at all, But this gentleman was

352
00:22:14,800 --> 00:22:19,200
Speaker 2: an IT expert fifty nine years of age in Heartland, Wisconsin,

353
00:22:19,680 --> 00:22:24,440
Speaker 2: and he he pled guilty back in April to some

354
00:22:24,520 --> 00:22:28,919
Speaker 2: pretty serious federal charges of aggravated identity theft and making

355
00:22:29,080 --> 00:22:35,120
Speaker 2: false statements to a National Credit Union Administration insured institution.

356
00:22:35,520 --> 00:22:38,679
Speaker 2: As the end of that sentence, well, this was I

357
00:22:38,680 --> 00:22:41,680
Speaker 2: think noa. You titled it in the doc the craziest

358
00:22:41,720 --> 00:22:45,000
Speaker 2: identity theft story I've ever heard.

359
00:22:45,160 --> 00:22:46,440
Speaker 4: It was such a long con.

360
00:22:47,040 --> 00:22:51,680
Speaker 2: Yes, this is a gentleman who stole another man's wallet,

361
00:22:51,960 --> 00:22:54,800
Speaker 2: mister William Woods wallet back in nineteen eighty eight, at

362
00:22:54,840 --> 00:22:58,199
Speaker 2: least according to Woods, and then returned it. But before

363
00:22:58,240 --> 00:23:01,520
Speaker 2: returning it, he took in infa out of that wallet,

364
00:23:01,560 --> 00:23:05,760
Speaker 2: including the social Security number of mister Woods. Then mister

365
00:23:05,880 --> 00:23:09,960
Speaker 2: Kiern's went ahead and got a driver's license with the

366
00:23:10,080 --> 00:23:13,479
Speaker 2: name William Woods. And then he went on to assume

367
00:23:13,520 --> 00:23:18,280
Speaker 2: the identity of mister Woods for decades. He got married

368
00:23:18,560 --> 00:23:21,560
Speaker 2: under that name, he had a child under that name,

369
00:23:21,720 --> 00:23:24,919
Speaker 2: and he got hired at the University of Iowa hospital

370
00:23:25,720 --> 00:23:29,439
Speaker 2: with that ID, and under that name, got himself a

371
00:23:29,520 --> 00:23:32,959
Speaker 2: ton of loans totally more than two hundred thousand dollars

372
00:23:33,160 --> 00:23:37,000
Speaker 2: under that name. And the biggest thing he did is

373
00:23:37,040 --> 00:23:41,040
Speaker 2: that when the actual William Woods tried to figure out

374
00:23:41,040 --> 00:23:42,840
Speaker 2: what the heck was going on in his life and

375
00:23:42,880 --> 00:23:45,600
Speaker 2: why someone's racking up all this debt, and just what

376
00:23:45,680 --> 00:23:47,840
Speaker 2: the heck is going on. When he tried to go

377
00:23:47,880 --> 00:23:51,760
Speaker 2: into a bank and clear the whole thing up, he

378
00:23:53,320 --> 00:23:57,399
Speaker 2: was arrested because he didn't have the security information for

379
00:23:57,520 --> 00:24:00,719
Speaker 2: the bank accounts that Kiern set up as would. So

380
00:24:00,760 --> 00:24:04,920
Speaker 2: then he ended up being forced to go to jail

381
00:24:05,440 --> 00:24:08,040
Speaker 2: for four hundred and twenty eight days, and then he

382
00:24:08,119 --> 00:24:10,359
Speaker 2: spent one hundred and forty seven days in a mental

383
00:24:10,400 --> 00:24:15,080
Speaker 2: hospital because he was considered not fit for trial. Remember

384
00:24:15,119 --> 00:24:18,399
Speaker 2: this whole crazy thing. Yeah, anyway, the story here, or

385
00:24:18,440 --> 00:24:20,960
Speaker 2: the update is that mister Kearn's was just sentenced to

386
00:24:21,000 --> 00:24:24,159
Speaker 2: twelve years in prison for doing all that heinous stuff.

387
00:24:24,160 --> 00:24:26,200
Speaker 3: Which is pretty light, it would seem.

388
00:24:26,280 --> 00:24:29,840
Speaker 2: So yeah, yeah, I do agree there. But at least

389
00:24:29,880 --> 00:24:32,399
Speaker 2: he is in prison for a bit and that'll change

390
00:24:32,440 --> 00:24:32,920
Speaker 2: his life.

391
00:24:33,520 --> 00:24:36,720
Speaker 3: Oh maybe he'll get deported to El salvador.

392
00:24:37,080 --> 00:24:39,520
Speaker 2: Ooh, they will accept.

393
00:24:39,480 --> 00:24:42,080
Speaker 4: For sure, any nationality.

394
00:24:42,280 --> 00:24:43,440
Speaker 3: Yeah.

395
00:24:43,520 --> 00:24:47,080
Speaker 2: Hey, speaking on things like that, let's talk about reporting

396
00:24:47,720 --> 00:24:53,479
Speaker 2: that comes from various institutions via the Pentagon. Here's a

397
00:24:53,560 --> 00:24:56,560
Speaker 2: little story for you from Business Insider. It was posted

398
00:24:56,600 --> 00:25:00,240
Speaker 2: on February first, the Pentagon is changing, which me media

399
00:25:00,280 --> 00:25:07,160
Speaker 2: outlets have the closest access hmm or rotations. Right, Yeah,

400
00:25:07,160 --> 00:25:10,040
Speaker 2: it's a brand new thing. It's a new institutionalized, annual

401
00:25:10,080 --> 00:25:13,239
Speaker 2: thing that's going to happen. Here's from that article. The

402
00:25:13,240 --> 00:25:16,879
Speaker 2: Defense Department said it's implementing a new quote annual media

403
00:25:17,040 --> 00:25:20,800
Speaker 2: rotation program, which means some legacy media outlets will lose

404
00:25:20,840 --> 00:25:25,719
Speaker 2: their longtime Pentagon workspaces to a slate of new publications. Now,

405
00:25:25,760 --> 00:25:29,440
Speaker 2: according to the Pentagon and Little the post that they

406
00:25:29,520 --> 00:25:33,240
Speaker 2: made as a blog post, actually this is going to

407
00:25:33,240 --> 00:25:36,119
Speaker 2: be an annual thing. So every year, one news organization

408
00:25:36,200 --> 00:25:40,200
Speaker 2: will get kicked out and then another news organization will

409
00:25:40,200 --> 00:25:43,440
Speaker 2: get to come in. This doesn't mean that any news

410
00:25:43,560 --> 00:25:47,520
Speaker 2: organization will lose access to the Pentagon, right, They'll all

411
00:25:47,520 --> 00:25:49,679
Speaker 2: be able to come and go as they please, report

412
00:25:49,680 --> 00:25:56,240
Speaker 2: on whatever they like. But these specific workstations as they're

413
00:25:56,240 --> 00:26:00,000
Speaker 2: calling them, are very close. They're actually inside the Pentagon,

414
00:26:00,080 --> 00:26:02,119
Speaker 2: and so you know, a journalist or a team of

415
00:26:02,200 --> 00:26:04,880
Speaker 2: journalists can go into the Pentagon, stay there and work

416
00:26:04,920 --> 00:26:08,200
Speaker 2: and report from inside the Pentagon. That's a big deal,

417
00:26:08,600 --> 00:26:10,720
Speaker 2: especially when there's a huge story coming out there's a

418
00:26:10,720 --> 00:26:14,040
Speaker 2: lot of information being disseminated by the Pentagon. Having that

419
00:26:14,119 --> 00:26:18,240
Speaker 2: access means you're going to get the fastest information, hopefully

420
00:26:18,280 --> 00:26:21,160
Speaker 2: the most accurate information, and get it out as quickly

421
00:26:21,160 --> 00:26:23,520
Speaker 2: as you can. That's not going to be the case

422
00:26:24,040 --> 00:26:28,960
Speaker 2: any longer for these four organizations, The New York Times, NBC,

423
00:26:29,520 --> 00:26:32,840
Speaker 2: National Public Radio or NPR, and Politico.

424
00:26:33,720 --> 00:26:34,240
Speaker 4: Imagine that.

425
00:26:36,240 --> 00:26:40,160
Speaker 2: Isn't that strange those things have anything in common?

426
00:26:40,400 --> 00:26:41,520
Speaker 4: Do we think? Sure? They sure?

427
00:26:42,480 --> 00:26:45,359
Speaker 3: They have a history of their proponents would say speaking

428
00:26:45,400 --> 00:26:49,879
Speaker 3: truth to power, that's one. They also they also have

429
00:26:50,720 --> 00:26:54,639
Speaker 3: gone on record with various editorial statements at times that

430
00:26:54,720 --> 00:27:00,159
Speaker 3: seem to support maybe more Democratic Party affiliated politicians and

431
00:27:00,280 --> 00:27:04,720
Speaker 3: object to more Republican affiliated politicians.

432
00:27:04,359 --> 00:27:07,000
Speaker 4: And their opponents would argue, I think they have all

433
00:27:07,040 --> 00:27:12,800
Speaker 4: been critical of right leaning administrations and specifically this administration,

434
00:27:13,160 --> 00:27:15,840
Speaker 4: and you know, it just seems like the first step

435
00:27:16,000 --> 00:27:20,920
Speaker 4: towards a real information control, iron fisted approach.

436
00:27:21,440 --> 00:27:23,640
Speaker 3: You know, yeah, I would add to that. You know,

437
00:27:23,880 --> 00:27:28,080
Speaker 3: there's been a lot of criticism, especially about the big

438
00:27:28,160 --> 00:27:31,560
Speaker 3: fancy New York Times, that they had not been critical

439
00:27:31,760 --> 00:27:37,200
Speaker 3: enough in certain aspects, and it turns out that maybe

440
00:27:37,359 --> 00:27:42,320
Speaker 3: that may have been correct. Because they lost a This

441
00:27:42,520 --> 00:27:45,760
Speaker 3: is a huge loss for them and Matt We've got

442
00:27:45,760 --> 00:27:49,760
Speaker 3: to I think we've got to get to the replacements, right.

443
00:27:50,280 --> 00:27:53,680
Speaker 2: Oh yeah, all the replacements coming in are the New

444
00:27:53,800 --> 00:27:57,320
Speaker 2: York Post, So out with the Times, in with the Post. Yeah,

445
00:27:57,400 --> 00:27:59,800
Speaker 2: Huffington Post interesting.

446
00:27:59,440 --> 00:28:01,960
Speaker 3: Which is pretty less log isn't it?

447
00:28:02,040 --> 00:28:04,359
Speaker 4: Kind of? I guess it is, But isn't it. It's like,

448
00:28:05,160 --> 00:28:07,159
Speaker 4: maybe I've always been a little confused as to what

449
00:28:07,200 --> 00:28:09,160
Speaker 4: the nature of the Huffington Post is. I always thought

450
00:28:09,160 --> 00:28:11,800
Speaker 4: it was kind of crowdsourced in some fashion.

451
00:28:12,280 --> 00:28:16,320
Speaker 3: Now it's I think nowadays or in the modern parlance,

452
00:28:16,400 --> 00:28:19,399
Speaker 3: it would be considered it would consider itself an online

453
00:28:19,600 --> 00:28:20,320
Speaker 3: news source.

454
00:28:20,680 --> 00:28:23,399
Speaker 2: Yes, okay, okay, And that is very much in line

455
00:28:23,480 --> 00:28:25,960
Speaker 2: with the goals, at least the stated goals of the

456
00:28:26,000 --> 00:28:29,040
Speaker 2: Pentagon in the administration about who is going to get

457
00:28:29,080 --> 00:28:32,560
Speaker 2: access in the future. So in the long long term, well,

458
00:28:32,720 --> 00:28:35,280
Speaker 2: let's continue on the list though, you've also got Breitbart

459
00:28:35,359 --> 00:28:39,560
Speaker 2: News and One America News Network. Uh yeah, so these

460
00:28:39,600 --> 00:28:45,160
Speaker 2: are definitely more let's say they're going the these without trying,

461
00:28:45,160 --> 00:28:46,720
Speaker 2: you know, I don't it's so weird to talk about

462
00:28:46,720 --> 00:28:49,280
Speaker 2: bias in this way without sounding bias but these are

463
00:28:49,400 --> 00:28:55,040
Speaker 2: organizations that appear to be a little more biased towards

464
00:28:55,320 --> 00:28:58,640
Speaker 2: uh an administration that is more conservative. That's what it

465
00:28:58,680 --> 00:28:59,200
Speaker 2: feels like.

466
00:28:59,400 --> 00:29:02,200
Speaker 3: Sure, the three of the four new ones, but to

467
00:29:02,280 --> 00:29:06,360
Speaker 3: be fair, we also need to point out that they're

468
00:29:06,600 --> 00:29:10,680
Speaker 3: just all considered more extreme in these directions. Right.

469
00:29:10,840 --> 00:29:12,840
Speaker 2: Yes, that's a really good way to think about it,

470
00:29:13,160 --> 00:29:16,560
Speaker 2: because according to the statements that have been coming out

471
00:29:16,560 --> 00:29:21,000
Speaker 2: of the Pentagon regarding this stuff the Defense Department. This

472
00:29:21,080 --> 00:29:23,640
Speaker 2: is from the article. This move comes as the White

473
00:29:23,640 --> 00:29:28,000
Speaker 2: House Press Secretary Caroline Levitt announced earlier this week that

474
00:29:28,200 --> 00:29:30,760
Speaker 2: the administration would be granting access to the White House

475
00:29:30,800 --> 00:29:34,440
Speaker 2: Press Briefing Room to quote new media, which would include

476
00:29:34,560 --> 00:29:40,280
Speaker 2: things like podcasters, YouTubers, TikTokers. So you know that is

477
00:29:40,920 --> 00:29:43,880
Speaker 2: that feels progressive and really good, like let's get you know,

478
00:29:44,000 --> 00:29:47,960
Speaker 2: independent organizations and individuals in there reporting on it. But

479
00:29:48,040 --> 00:29:51,520
Speaker 2: it also feels like you could taylor who the individuals

480
00:29:51,560 --> 00:29:55,680
Speaker 2: you allow in to really project your message and you know,

481
00:29:55,760 --> 00:29:58,080
Speaker 2: shout down to other people who are critics of.

482
00:29:58,040 --> 00:30:00,760
Speaker 4: That, and then there aren't any there's an the oversight

483
00:30:00,840 --> 00:30:03,959
Speaker 4: over like YouTubers and TikTokers. And not to say that

484
00:30:04,040 --> 00:30:06,600
Speaker 4: like the code of journalistic ethics is like at its

485
00:30:06,640 --> 00:30:09,080
Speaker 4: peak right now. I mean, with the Internet being the

486
00:30:09,120 --> 00:30:12,320
Speaker 4: main competition for like traditional media. You know, we know

487
00:30:12,480 --> 00:30:15,640
Speaker 4: things get rushed, and we know that you know, standards

488
00:30:15,920 --> 00:30:18,600
Speaker 4: and things like that have certainly slid, you know, over

489
00:30:18,640 --> 00:30:22,440
Speaker 4: the past few decades. But with that you can literally

490
00:30:22,440 --> 00:30:26,560
Speaker 4: have these influencers who there's really no rules against quote

491
00:30:26,600 --> 00:30:29,760
Speaker 4: unquote paying them off or giving them certain privileges in

492
00:30:29,840 --> 00:30:34,360
Speaker 4: order to get a favorable report. There's absolutely no expectation

493
00:30:34,760 --> 00:30:36,560
Speaker 4: of unbiased coverage.

494
00:30:36,920 --> 00:30:40,000
Speaker 3: Yeah, yeah, unless you're talking about TikTok well, you know

495
00:30:40,040 --> 00:30:43,480
Speaker 3: which reports to China point that out. But sure, I

496
00:30:44,120 --> 00:30:47,440
Speaker 3: will also note though this is this is I love

497
00:30:47,440 --> 00:30:49,400
Speaker 3: that we're bringing this up because this is exactly what

498
00:30:49,440 --> 00:30:54,080
Speaker 3: I was alluding to in an earlier conversation with podcasters.

499
00:30:54,160 --> 00:30:56,480
Speaker 3: That was the big headline for us podcasters could be

500
00:30:56,880 --> 00:30:58,560
Speaker 3: pretty much in the press club.

501
00:30:58,280 --> 00:30:59,840
Speaker 4: Now and where do we sign up?

502
00:31:00,080 --> 00:31:03,000
Speaker 3: Thank you to everybody who politely asked if we were

503
00:31:03,040 --> 00:31:07,760
Speaker 3: going to join the party. Ooh yeah, no, that's an

504
00:31:07,760 --> 00:31:10,960
Speaker 3: accidental pun. Not to be too or Wellian over there.

505
00:31:11,760 --> 00:31:14,120
Speaker 3: I'm sure we'd love to check it out, but to

506
00:31:14,160 --> 00:31:18,920
Speaker 3: be very clear, we have not received our our walka

507
00:31:19,120 --> 00:31:20,800
Speaker 3: esque golden tickets. Just yet.

508
00:31:21,480 --> 00:31:23,920
Speaker 2: Well, put me in, coach, I've got a journalism minor.

509
00:31:24,040 --> 00:31:26,200
Speaker 2: I'll do that all day. Put me in. I'll report

510
00:31:26,240 --> 00:31:29,040
Speaker 2: to these guys and then we'll just we'll discuss that

511
00:31:29,560 --> 00:31:30,440
Speaker 2: all go together.

512
00:31:30,640 --> 00:31:32,800
Speaker 4: Yeah, absolutely, I'm down.

513
00:31:33,000 --> 00:31:35,560
Speaker 2: All right into it. Okay, Well tell us how you

514
00:31:35,600 --> 00:31:37,680
Speaker 2: feel about all that stuff. One last story and then

515
00:31:38,000 --> 00:31:41,120
Speaker 2: we'll move on to another ad break. Guys. Google just

516
00:31:41,160 --> 00:31:44,680
Speaker 2: appears to have lifted its ban on using artificial intelligence

517
00:31:44,760 --> 00:31:47,520
Speaker 2: for weaponry and surveillance tools.

518
00:31:48,440 --> 00:31:51,280
Speaker 4: I don't understand what does Google have to do with weaponry.

519
00:31:51,320 --> 00:31:53,480
Speaker 4: I was immediately a little flummoxed by that headline.

520
00:31:53,800 --> 00:32:01,880
Speaker 3: Logistics algorithms processing so much of so much of modern warfare,

521
00:32:01,920 --> 00:32:04,440
Speaker 3: I'll say the W word. So much of modern warfare

522
00:32:04,520 --> 00:32:07,480
Speaker 3: is informatic at this point. Like right now, as we're speaking,

523
00:32:07,720 --> 00:32:12,400
Speaker 3: we're seeing some an interesting development of drone on drone

524
00:32:12,480 --> 00:32:15,280
Speaker 3: warfare out in the Ukraine theater.

525
00:32:15,920 --> 00:32:20,200
Speaker 2: Yeah, so you're talking integrated tracking systems. You're talking, you know,

526
00:32:20,280 --> 00:32:26,280
Speaker 2: drones that are able to potentially very soon autonomously figure

527
00:32:26,280 --> 00:32:30,120
Speaker 2: out who's a combatant, you know, according to the people

528
00:32:30,120 --> 00:32:32,560
Speaker 2: who operate that drone, and who is a civilian according

529
00:32:32,600 --> 00:32:36,160
Speaker 2: to that drone. Right, there's all kinds of stuff. The

530
00:32:36,400 --> 00:32:39,360
Speaker 2: big deal here, guys, is at Alphabet, the parent company

531
00:32:39,360 --> 00:32:43,360
Speaker 2: of Google, changed the guidelines and it was this tiny

532
00:32:43,400 --> 00:32:47,760
Speaker 2: little section that they've altered and it mentioned, you, you know,

533
00:32:47,880 --> 00:32:51,200
Speaker 2: don't use AI applications for anything that would quote likely

534
00:32:51,320 --> 00:32:56,600
Speaker 2: cause harm. And that's that's out. And in this another

535
00:32:56,800 --> 00:33:01,520
Speaker 2: is a blog post, Google said, Hey, democracies should lead

536
00:33:01,560 --> 00:33:05,360
Speaker 2: an AI development guided by this thing they call core

537
00:33:05,480 --> 00:33:13,720
Speaker 2: values like freedom, equality and respect for human rights leged ego. Yeah,

538
00:33:13,720 --> 00:33:16,760
Speaker 2: it reminds me of that politicians video we made way

539
00:33:16,800 --> 00:33:17,280
Speaker 2: back in the day.

540
00:33:17,320 --> 00:33:19,280
Speaker 3: Ben Oh, I love that one.

541
00:33:19,360 --> 00:33:21,160
Speaker 2: Equality, respect for human rights.

542
00:33:22,240 --> 00:33:23,520
Speaker 3: Yeah, please watch that one.

543
00:33:23,640 --> 00:33:24,320
Speaker 4: That was great.

544
00:33:24,440 --> 00:33:27,640
Speaker 2: Yeah, they said, quote and we believe that companies, governments,

545
00:33:27,640 --> 00:33:31,000
Speaker 2: and organizations sharing these values should work together to create

546
00:33:31,120 --> 00:33:37,080
Speaker 2: AI that protects people, promotes global growth, and supports national security.

547
00:33:38,400 --> 00:33:44,240
Speaker 3: Yeah, and everybody, we're we're doing these amazing hand gestures here.

548
00:33:44,720 --> 00:33:47,400
Speaker 3: Unfortunately we're an audio podcast. You'll have to check out

549
00:33:47,560 --> 00:33:49,520
Speaker 3: You'll have to check out that video. But it does.

550
00:33:50,040 --> 00:33:53,400
Speaker 3: It does always come the iron It's so weird. In

551
00:33:53,400 --> 00:33:56,240
Speaker 3: the modern day, the iron fist so often comes disguised

552
00:33:56,240 --> 00:33:57,640
Speaker 3: as an open hand, does it not?

553
00:33:59,240 --> 00:34:02,680
Speaker 4: Yep, yep, yeah, Well an open hand though when close

554
00:34:02,760 --> 00:34:03,680
Speaker 4: turns into a fist.

555
00:34:03,760 --> 00:34:06,920
Speaker 2: Right, oh, that hand, and it's connected to an arm,

556
00:34:07,120 --> 00:34:10,120
Speaker 2: connected to a torso to another arm in another hand,

557
00:34:10,280 --> 00:34:13,040
Speaker 2: and you never know which hand is which.

558
00:34:13,680 --> 00:34:19,480
Speaker 3: Right, right, and the fingers appear to be independent, independent,

559
00:34:19,560 --> 00:34:20,440
Speaker 3: separate entities.

560
00:34:20,560 --> 00:34:23,600
Speaker 4: From far enough away you see the hand.

561
00:34:23,840 --> 00:34:26,719
Speaker 3: Yeah, and maybe we're far away. But there's there is

562
00:34:26,800 --> 00:34:29,279
Speaker 3: another point I think we should we should make here map,

563
00:34:29,280 --> 00:34:37,240
Speaker 3: which is their argument is very similar to earlier arms

564
00:34:37,320 --> 00:34:42,000
Speaker 3: race arguments, like you guys remember hearing about you know,

565
00:34:42,160 --> 00:34:45,479
Speaker 3: nuclear breakthroughs at the end of World War two and

566
00:34:45,719 --> 00:34:49,759
Speaker 3: the idea that the the idea that won the day

567
00:34:50,840 --> 00:34:54,400
Speaker 3: out in DC over an oak ridge out in Los

568
00:34:54,400 --> 00:34:59,200
Speaker 3: Alamos was always something like was always this, Hey, we

569
00:34:59,280 --> 00:35:01,960
Speaker 3: know you're a science you know you're working for peace, right,

570
00:35:02,520 --> 00:35:07,239
Speaker 3: do good, don't be evil, advance human progress. However, if

571
00:35:07,320 --> 00:35:11,920
Speaker 3: we don't build this, the bad guys will. Therefore, right,

572
00:35:12,040 --> 00:35:16,520
Speaker 3: we know, we know something dangerous looms on the horizon,

573
00:35:17,080 --> 00:35:21,000
Speaker 3: and who gets to put the collar on this monster first,

574
00:35:21,280 --> 00:35:24,560
Speaker 3: this dog of war? And that's the argument here, so

575
00:35:25,040 --> 00:35:29,719
Speaker 3: or alphabet I should say, probably internally is having that

576
00:35:29,800 --> 00:35:34,399
Speaker 3: kind of philosophical debate with itself and its government attachments,

577
00:35:34,480 --> 00:35:39,040
Speaker 3: and they're saying, look, yes, is this stinky? Sure, but

578
00:35:39,160 --> 00:35:41,040
Speaker 3: in this case we want to be the ones with

579
00:35:41,080 --> 00:35:43,160
Speaker 3: the bag of poop that might destroy the world.

580
00:35:44,080 --> 00:35:44,880
Speaker 2: Yeah.

581
00:35:44,960 --> 00:35:47,120
Speaker 3: I slipped up on the analogy at the end, but the.

582
00:35:48,719 --> 00:35:52,360
Speaker 2: Rest of what we get it, we're with you.

583
00:35:52,400 --> 00:35:52,680
Speaker 4: Man.

584
00:35:53,880 --> 00:35:57,080
Speaker 2: So just to connect those last two stories, does anybody

585
00:35:57,200 --> 00:36:00,280
Speaker 2: remember the Pentagon's project called Project.

586
00:36:02,360 --> 00:36:04,799
Speaker 4: I don't think I do. Right off, Remind me.

587
00:36:05,160 --> 00:36:09,040
Speaker 2: It was a big deal when Alphabet first announced that

588
00:36:09,080 --> 00:36:13,240
Speaker 2: they would be working on this thing, Project Maven. Twenty seventeen.

589
00:36:13,280 --> 00:36:15,799
Speaker 2: I think is the time when Maven really took off.

590
00:36:16,360 --> 00:36:19,440
Speaker 2: This is the thing I had to do with automated

591
00:36:19,480 --> 00:36:24,279
Speaker 2: weapons systems and using AI to identify targets, and a

592
00:36:24,320 --> 00:36:26,879
Speaker 2: bunch of people at Google said, hey, that's not what

593
00:36:26,920 --> 00:36:29,640
Speaker 2: we do here. Did anybody read the guidelines, you know,

594
00:36:29,800 --> 00:36:34,879
Speaker 2: the employee manual. It was a big deal. It's still

595
00:36:34,920 --> 00:36:38,799
Speaker 2: going on. Project Maven is still occurring. Intelligence agencies took

596
00:36:38,800 --> 00:36:41,720
Speaker 2: over for a while there. It's getting weirder and weirder,

597
00:36:42,080 --> 00:36:46,120
Speaker 2: and Alphabet seems to have just relaxed a bit of

598
00:36:46,120 --> 00:36:50,720
Speaker 2: their internal controls on what they will or won't produce

599
00:36:50,920 --> 00:36:51,960
Speaker 2: as part of that project.

600
00:36:52,239 --> 00:36:55,920
Speaker 3: Oh and Palanteer is in there as well, right, as

601
00:36:56,000 --> 00:36:58,279
Speaker 3: part of that one, as Maven.

602
00:36:58,440 --> 00:37:00,000
Speaker 2: I don't remember that one. What is that one?

603
00:37:00,400 --> 00:37:01,000
Speaker 4: Pallanteer?

604
00:37:01,120 --> 00:37:04,520
Speaker 3: Oh, this ties back to our first story with Musk

605
00:37:04,680 --> 00:37:08,440
Speaker 3: and Doge. They're big data analytics. We've talked about them

606
00:37:08,440 --> 00:37:13,759
Speaker 3: in episodes in the past. They are, uh, they are

607
00:37:13,760 --> 00:37:17,480
Speaker 3: the ones who were founded by Peter Thiel, which the

608
00:37:17,560 --> 00:37:20,120
Speaker 3: name should be familiar. He's a kind of a power

609
00:37:20,160 --> 00:37:23,360
Speaker 3: behind the throne for Elon Musk or a big proponent

610
00:37:23,560 --> 00:37:26,000
Speaker 3: of technocratic oligarchy.

611
00:37:27,040 --> 00:37:28,160
Speaker 4: Also, wasn't he a guy?

612
00:37:28,200 --> 00:37:30,919
Speaker 2: That was he the Gawker guy?

613
00:37:31,719 --> 00:37:34,960
Speaker 4: Feals like, didn't he have something to do with bringing down.

614
00:37:34,920 --> 00:37:38,080
Speaker 3: Gawker because they ran an unfavorable story about him?

615
00:37:38,800 --> 00:37:38,920
Speaker 4: He?

616
00:37:39,200 --> 00:37:40,359
Speaker 3: Yes, yes, right now?

617
00:37:40,480 --> 00:37:41,759
Speaker 4: He they published he.

618
00:37:43,440 --> 00:37:47,360
Speaker 3: Funded a movement or he funded Hulk Holgan. Yeah, because

619
00:37:47,400 --> 00:37:51,240
Speaker 3: Gawker had outed feel about several things related to business

620
00:37:51,239 --> 00:37:52,200
Speaker 3: in his personal.

621
00:37:51,880 --> 00:37:53,840
Speaker 4: Life and the sexuality that's right, exact right.

622
00:37:53,800 --> 00:37:58,200
Speaker 3: Yeah, and then eventually he was wealthy enough that he

623
00:37:58,280 --> 00:37:59,840
Speaker 3: was able to bankrupt Gawker.

624
00:38:00,880 --> 00:38:03,080
Speaker 4: I only bring that up because that kind of thinking,

625
00:38:03,280 --> 00:38:05,840
Speaker 4: that sort of like you know, moral authority on the

626
00:38:05,880 --> 00:38:10,400
Speaker 4: part of these these technocrats is something that really concerns

627
00:38:10,480 --> 00:38:13,400
Speaker 4: me because you know, to that to that quote about

628
00:38:13,600 --> 00:38:17,279
Speaker 4: Elon from the friend the former associate, that it's a

629
00:38:17,719 --> 00:38:20,280
Speaker 4: they think they're above everyone and that after a certain point,

630
00:38:20,320 --> 00:38:23,640
Speaker 4: with a certain amount of wealth, there is no real

631
00:38:24,160 --> 00:38:27,239
Speaker 4: rubric for morality anymore. It's just kind of this God

632
00:38:27,320 --> 00:38:29,960
Speaker 4: complex where like you believe that you are the ultimate

633
00:38:30,560 --> 00:38:31,920
Speaker 4: moral authority.

634
00:38:31,880 --> 00:38:37,239
Speaker 3: And perhaps Alphabet's doing doing something similar, or perhaps they

635
00:38:37,760 --> 00:38:42,000
Speaker 3: see it as not just like a moral superiority, but

636
00:38:42,080 --> 00:38:47,799
Speaker 3: perhaps they see it as an an ethically fraught existential necessity.

637
00:38:48,320 --> 00:38:52,040
Speaker 3: Right again, do you want do you want Alphabet at

638
00:38:52,080 --> 00:38:55,000
Speaker 3: the wheel or do you want whomever controls deep Seek?

639
00:38:55,640 --> 00:38:57,040
Speaker 2: Yeah?

640
00:38:57,080 --> 00:38:57,319
Speaker 4: Boy.

641
00:38:58,000 --> 00:39:00,680
Speaker 2: By the way, this this announcement from Alphabet came right

642
00:39:00,719 --> 00:39:04,160
Speaker 2: after they just put out their financial report which said

643
00:39:04,160 --> 00:39:06,879
Speaker 2: they were up ten percent, but it was not what

644
00:39:06,920 --> 00:39:10,080
Speaker 2: the market expected, so their share price went down. So

645
00:39:10,080 --> 00:39:12,640
Speaker 2: they're like, oh, we need more money, and I'm just

646
00:39:12,719 --> 00:39:16,200
Speaker 2: imagining the defense stuff. Is the the fit.

647
00:39:16,040 --> 00:39:18,560
Speaker 4: Take the guardrails off, Yeah, open up a little bit

648
00:39:18,560 --> 00:39:20,240
Speaker 4: more cash flow revenue streams.

649
00:39:20,640 --> 00:39:24,000
Speaker 3: Yes, the market is getting wild, you guys. Yeah, the

650
00:39:24,040 --> 00:39:24,560
Speaker 3: whole thing.

651
00:39:25,400 --> 00:39:29,279
Speaker 2: Doge coin is going whatever. I'm just kidding, is it really?

652
00:39:29,880 --> 00:39:32,120
Speaker 2: I don't know, doche I'm gonna buy just a craft

653
00:39:32,160 --> 00:39:36,400
Speaker 2: ton of doge coin. Besides, that's the new currency.

654
00:39:36,560 --> 00:39:38,480
Speaker 4: I have a handful as a joke, but I will

655
00:39:38,520 --> 00:39:41,200
Speaker 4: say that in general, the stock market is booming right now.

656
00:39:41,400 --> 00:39:44,520
Speaker 4: It's kind of intriguing. I mean, it seems like almost

657
00:39:44,520 --> 00:39:45,920
Speaker 4: like too good to be true, and that like a

658
00:39:46,000 --> 00:39:51,120
Speaker 4: crash is eminent. But whatever, it's interesting to behold.

659
00:39:51,960 --> 00:39:58,719
Speaker 2: Check out history boo what happened before? Okay, anyway, Alphabet

660
00:39:58,760 --> 00:40:01,880
Speaker 2: said in its earnings report the company would spend seventy

661
00:40:02,040 --> 00:40:06,200
Speaker 2: five billion dollars on AI projects this year. That's twenty

662
00:40:06,280 --> 00:40:10,880
Speaker 2: nine percent more than Wall Street analysts had expected. And

663
00:40:10,960 --> 00:40:17,560
Speaker 2: with that, we'll be right back with more strange news.

664
00:40:18,200 --> 00:40:23,040
Speaker 4: And we've returned. I'm gonna lead with another economic story

665
00:40:23,080 --> 00:40:28,680
Speaker 4: involving the price of goods that many Americans and citizens

666
00:40:28,719 --> 00:40:32,799
Speaker 4: of the world quite enjoy and rely on for sustenance.

667
00:40:32,840 --> 00:40:36,239
Speaker 4: We're talking, of course, about the humble chicken egg, which

668
00:40:36,320 --> 00:40:39,120
Speaker 4: came first. That the chicken or the chicken egg. I

669
00:40:39,200 --> 00:40:41,040
Speaker 4: still don't know. I don't think anybody doesn't.

670
00:40:41,280 --> 00:40:43,960
Speaker 3: Technically, the chicken had to come first. For the egg

671
00:40:44,000 --> 00:40:44,160
Speaker 3: to be.

672
00:40:44,680 --> 00:40:48,880
Speaker 4: That's really right, Ben No, No, I've day you're not cutting.

673
00:40:48,920 --> 00:40:51,080
Speaker 3: Noll you the devil, you all.

674
00:40:51,960 --> 00:40:55,080
Speaker 2: It's got egg fertilization jokes.

675
00:40:55,160 --> 00:40:57,240
Speaker 4: I know, Come on, bad come, I'm going to repeat

676
00:40:57,280 --> 00:40:58,560
Speaker 4: it if you don't cut I'm going to repeat it

677
00:40:58,600 --> 00:41:02,000
Speaker 4: and credit you for it if you cut it. AnyWho,

678
00:41:02,120 --> 00:41:04,359
Speaker 4: the price of eggs are through the roof. I don't

679
00:41:04,400 --> 00:41:06,399
Speaker 4: know if you guys remember there was an old Tim

680
00:41:06,440 --> 00:41:09,839
Speaker 4: and Eric sketch starring Oh gosh, I'm forgetting his name,

681
00:41:09,920 --> 00:41:14,160
Speaker 4: the guy who played Bobby Bacola in The Sopranos, who

682
00:41:14,200 --> 00:41:17,040
Speaker 4: does that Sopranos podcast with, or at least did for

683
00:41:17,080 --> 00:41:21,319
Speaker 4: a while with Michael imperially, And I'm totally forgetting his name.

684
00:41:21,400 --> 00:41:23,479
Speaker 4: But he's also in that show Blue Blood. He did

685
00:41:23,520 --> 00:41:26,600
Speaker 4: a sketch on Tim and Eric where it was basically

686
00:41:26,680 --> 00:41:30,600
Speaker 4: a kit that would allow you to lay your own eggs,

687
00:41:31,320 --> 00:41:33,000
Speaker 4: you know. In the line is with the price of

688
00:41:33,040 --> 00:41:36,200
Speaker 4: eggs going through the roof. I just passed a dozen

689
00:41:36,200 --> 00:41:39,000
Speaker 4: eggs through my rea, you know. And it's just it

690
00:41:39,040 --> 00:41:40,640
Speaker 4: makes me think of that because it's true, the price

691
00:41:40,680 --> 00:41:44,360
Speaker 4: of eggs are indeed through the roof, not because of

692
00:41:44,520 --> 00:41:47,719
Speaker 4: tariffs or anything like that, which to a listener point

693
00:41:47,760 --> 00:41:51,520
Speaker 4: writing in Ben, I'm sure you agree. Definitely worth the discussion,

694
00:41:51,640 --> 00:41:54,200
Speaker 4: a larger discussion just on the nature of tariffs, the

695
00:41:54,239 --> 00:41:56,319
Speaker 4: history of tariffs, and we could talk about that Star

696
00:41:56,360 --> 00:42:00,919
Speaker 4: Wars movie everyone hated about tariffs. That seems weirdly prescient now.

697
00:42:02,680 --> 00:42:04,520
Speaker 2: We brought it up a little while ago, the Smooth

698
00:42:04,920 --> 00:42:05,720
Speaker 2: Holly Act.

699
00:42:06,040 --> 00:42:09,080
Speaker 3: I think that's correct, Haley, which we'll have an episode on.

700
00:42:09,239 --> 00:42:10,359
Speaker 3: I think we have to right.

701
00:42:10,920 --> 00:42:15,120
Speaker 4: One hundred percent. But because of not tariffs or other

702
00:42:15,360 --> 00:42:21,400
Speaker 4: you know, economic considerations, but rather bird flu, the bird

703
00:42:21,440 --> 00:42:26,480
Speaker 4: flu epidemic. The price of eggs are indeed true to roof,

704
00:42:27,120 --> 00:42:29,680
Speaker 4: and this was just causing them to be treated as

705
00:42:29,840 --> 00:42:33,879
Speaker 4: pretty hot commodities, as evidenced by the fact that one

706
00:42:33,960 --> 00:42:38,880
Speaker 4: hundred thousand of those little fellas were stolen from a

707
00:42:39,160 --> 00:42:44,759
Speaker 4: US grocery company worth in the neighborhood of forty thousand

708
00:42:45,040 --> 00:42:48,440
Speaker 4: dollars in the state of Pennsylvania off the back. They

709
00:42:48,520 --> 00:42:51,080
Speaker 4: fell off the back of a truck at Pete and

710
00:42:51,200 --> 00:42:56,040
Speaker 4: Jerry's Organic in Greencastle, Pennsylvania, on the first of February.

711
00:42:56,080 --> 00:42:57,400
Speaker 4: According to police.

712
00:42:58,000 --> 00:43:03,920
Speaker 3: That's right, folks, it's time for another sound c high story.

713
00:43:03,960 --> 00:43:06,480
Speaker 3: We couldn't leave you without a Gopis this step two?

714
00:43:07,200 --> 00:43:11,560
Speaker 4: Yeah? Indeed, so you know, there is a government data

715
00:43:11,680 --> 00:43:15,080
Speaker 4: showing that the price of eggs are up nearly more

716
00:43:15,200 --> 00:43:18,520
Speaker 4: more than rather sixty five percent in the last year.

717
00:43:18,960 --> 00:43:23,040
Speaker 4: The Department of Agriculture has predicted further increases of around

718
00:43:23,080 --> 00:43:26,839
Speaker 4: twenty percent in the year twenty twenty five, in which

719
00:43:26,840 --> 00:43:31,680
Speaker 4: we currently reside. Another kind of we talk about the

720
00:43:31,719 --> 00:43:35,560
Speaker 4: waffle House index, right Ben, when it comes to predicting

721
00:43:35,640 --> 00:43:39,200
Speaker 4: how bad weather events are, well, there's another waffle House index,

722
00:43:39,239 --> 00:43:41,200
Speaker 4: and that is about how bad the price of eggs

723
00:43:41,200 --> 00:43:43,880
Speaker 4: have become. We know, Ben and I actually recently had

724
00:43:43,880 --> 00:43:47,640
Speaker 4: the pleasure of touring the waffle House Museum here in

725
00:43:48,040 --> 00:43:52,080
Speaker 4: in Decatur, Georgia. Waffle Houses, of course a Georgia based company,

726
00:43:52,320 --> 00:43:55,080
Speaker 4: and we know that they have a history of being

727
00:43:55,239 --> 00:43:59,439
Speaker 4: very reasonable with their prices and their accommendations and really

728
00:43:59,440 --> 00:44:02,360
Speaker 4: treating the customer as the most important part of the equation,

729
00:44:02,480 --> 00:44:04,759
Speaker 4: and they don't like to raise prices. But waffle House

730
00:44:04,800 --> 00:44:10,360
Speaker 4: recently announced a fifty cent per egg surcharge for everyone

731
00:44:10,400 --> 00:44:13,640
Speaker 4: of their US location. They're referring to it. I know

732
00:44:13,760 --> 00:44:17,920
Speaker 4: they're referring to it as temporary targeted surcharge tied to

733
00:44:18,000 --> 00:44:22,279
Speaker 4: the unprecedented rise in egg prices. If anyone who's maybe

734
00:44:22,320 --> 00:44:24,720
Speaker 4: from a part of the country that doesn't have waffle houses.

735
00:44:25,080 --> 00:44:28,799
Speaker 4: One of the features of their open kitchen kind of

736
00:44:28,840 --> 00:44:33,319
Speaker 4: diner situation is just giant stacks of eggs, you know,

737
00:44:33,440 --> 00:44:36,239
Speaker 4: in these like metal wire baskets, like on top of

738
00:44:36,560 --> 00:44:38,760
Speaker 4: like on a shelf above where the grill, the flat

739
00:44:38,800 --> 00:44:42,840
Speaker 4: top grill is. Eggs are huge. They have many classic

740
00:44:42,920 --> 00:44:47,120
Speaker 4: breakfast items where eggs are the staple. In fact, there

741
00:44:47,040 --> 00:44:50,279
Speaker 4: are two egg breakfast that comes with a side as

742
00:44:50,280 --> 00:44:52,239
Speaker 4: well as a piece of toast. I believe it can

743
00:44:52,239 --> 00:44:58,600
Speaker 4: be raisin, rye or wheat or white from not mistaken. Yeah,

744
00:44:59,680 --> 00:45:00,239
Speaker 4: not a f mass.

745
00:45:01,560 --> 00:45:05,520
Speaker 3: This is our biggest This remains our deepest division. And

746
00:45:05,560 --> 00:45:08,680
Speaker 3: we beat me again here, Andrew. We argue all the

747
00:45:09,160 --> 00:45:12,040
Speaker 3: time with each other, and this is the main argument

748
00:45:12,239 --> 00:45:15,480
Speaker 3: that is going to tear our show apart. I respect,

749
00:45:16,400 --> 00:45:20,160
Speaker 3: I respect your choices, I have your back, but I

750
00:45:20,200 --> 00:45:23,960
Speaker 3: am not participating. And and look, this is just to

751
00:45:23,960 --> 00:45:28,359
Speaker 3: interject here, fifty cents per egg sounds wild. And we

752
00:45:28,400 --> 00:45:32,360
Speaker 3: are not paid by waffle House. We're just fans.

753
00:45:32,440 --> 00:45:35,719
Speaker 4: We're sounds really cool. You can get your guided tour

754
00:45:35,960 --> 00:45:38,440
Speaker 4: if you can reach out. It's actually they're really really accommodating.

755
00:45:38,680 --> 00:45:41,279
Speaker 3: They're super nice. And also we have to point out

756
00:45:41,360 --> 00:45:44,360
Speaker 3: we are not paid to be like waffle House ops

757
00:45:44,480 --> 00:45:48,359
Speaker 3: or anything of that sort. But just just to understand

758
00:45:48,760 --> 00:45:51,960
Speaker 3: the impact, because what I was I was on the road,

759
00:45:52,200 --> 00:45:56,360
Speaker 3: was reading this story and uh, and my girlfriend shared

760
00:45:56,400 --> 00:45:59,160
Speaker 3: it with me, and at first I thought, Okay, maybe

761
00:45:59,200 --> 00:46:02,520
Speaker 3: this is a fact roll headline of some sort or another.

762
00:46:03,360 --> 00:46:07,360
Speaker 3: But no, fifty cents is quite steep too for waffle House,

763
00:46:07,400 --> 00:46:09,200
Speaker 3: and we know that they don't want to do it.

764
00:46:09,239 --> 00:46:11,560
Speaker 3: They're not They're not like a villainous copy.

765
00:46:11,719 --> 00:46:14,560
Speaker 4: Yeah. I truly believe them when they say that their

766
00:46:14,600 --> 00:46:16,920
Speaker 4: customers are very important to them and they do treat

767
00:46:16,920 --> 00:46:20,400
Speaker 4: them with respect. And I think most people that frequent

768
00:46:20,400 --> 00:46:24,080
Speaker 4: waffle Houses are are fans because they have a good product.

769
00:46:24,080 --> 00:46:26,120
Speaker 4: It's a reasonable price. But I was just mentioning that

770
00:46:26,160 --> 00:46:29,720
Speaker 4: two egg breakfast with the toast and the side, whichever

771
00:46:29,760 --> 00:46:35,319
Speaker 4: toast you what. Indeed, Mania has as of Tuesday been

772
00:46:35,360 --> 00:46:38,400
Speaker 4: listed at seven seventy five, which you know, to me

773
00:46:38,520 --> 00:46:44,000
Speaker 4: still seems relatively reasonable. But you know, inflation is crazy,

774
00:46:44,120 --> 00:46:45,920
Speaker 4: and it used to be that the breakfast like that

775
00:46:45,960 --> 00:46:48,960
Speaker 4: would just be like a couple of bucks. And we

776
00:46:49,200 --> 00:46:52,320
Speaker 4: when we went to the waffle House Museum, they actually

777
00:46:52,400 --> 00:46:56,279
Speaker 4: it's in one of the original waffle House locations and

778
00:46:56,400 --> 00:46:59,680
Speaker 4: they have a model of you know, the old school,

779
00:46:59,680 --> 00:47:04,400
Speaker 4: original open kitchen diner design, and they have some of

780
00:47:04,400 --> 00:47:07,080
Speaker 4: the old prices, and I was just amazing with inflation,

781
00:47:07,200 --> 00:47:11,400
Speaker 4: Like I think the most expensive item was like a filmnion.

782
00:47:11,920 --> 00:47:15,080
Speaker 4: It's for a buck fifty, and that was like by

783
00:47:15,200 --> 00:47:17,640
Speaker 4: far the most expensive item at that time that would

784
00:47:17,680 --> 00:47:19,919
Speaker 4: have been considered like a luxury item. Most other things

785
00:47:19,920 --> 00:47:21,719
Speaker 4: were about twenty five cents, and I wish we had

786
00:47:21,760 --> 00:47:23,719
Speaker 4: in front of us. But the price of eggs, you know,

787
00:47:23,800 --> 00:47:27,320
Speaker 4: in the in the fifties, when this diner chain first opened,

788
00:47:27,320 --> 00:47:29,960
Speaker 4: I think they were like, you know, ten ten cents

789
00:47:30,080 --> 00:47:32,799
Speaker 4: or something like that per egg. So a fifty cent

790
00:47:32,960 --> 00:47:37,600
Speaker 4: per egg surcharge is historically nothing to sneeze at and just.

791
00:47:37,680 --> 00:47:40,759
Speaker 3: Dolls extra for every every dish you order. Two years,

792
00:47:40,840 --> 00:47:42,240
Speaker 3: we're going to have a minimum.

793
00:47:41,800 --> 00:47:45,239
Speaker 4: Of two right, that's exactly right. There have to date

794
00:47:45,480 --> 00:47:50,320
Speaker 4: been sixty seven confirmed bird flu infections since twenty twenty

795
00:47:50,320 --> 00:47:52,560
Speaker 4: four rather to date since twenty twenty four, and that's

796
00:47:52,600 --> 00:47:55,440
Speaker 4: according to the Centers for Disease Control and Prevention. We

797
00:47:55,520 --> 00:47:57,560
Speaker 4: do also know that the center for Disease Control and

798
00:47:57,600 --> 00:48:01,920
Speaker 4: Prevention have recently been more less gagged from, you know,

799
00:48:01,960 --> 00:48:04,839
Speaker 4: communicating with the public about these matters for the time

800
00:48:04,880 --> 00:48:08,799
Speaker 4: being as transitions take place. So TBD on that. But

801
00:48:08,920 --> 00:48:12,280
Speaker 4: we do know that this H five and one bird

802
00:48:12,320 --> 00:48:17,239
Speaker 4: flu strain has been spreading among birds, wild birds, cows, poultry,

803
00:48:17,600 --> 00:48:22,120
Speaker 4: and other animals, and it is giving a lot more

804
00:48:22,160 --> 00:48:26,320
Speaker 4: opportunities for exposure to human people, this being of course

805
00:48:26,440 --> 00:48:30,320
Speaker 4: a zoonautic virus.

806
00:48:30,960 --> 00:48:36,759
Speaker 3: Yeah, and we see also we see great concern in

807
00:48:37,040 --> 00:48:41,920
Speaker 3: the knock on consequences for the supply chain. It's interesting

808
00:48:42,040 --> 00:48:47,240
Speaker 3: if you're on local social media, you will probably depending

809
00:48:47,280 --> 00:48:49,320
Speaker 3: on where you live in the US, who will probably

810
00:48:49,400 --> 00:48:54,080
Speaker 3: run into people who say, hey, I know a local farmer, right,

811
00:48:54,200 --> 00:48:57,320
Speaker 3: I know someone who's not part of Big Chicken or

812
00:48:57,400 --> 00:49:00,279
Speaker 3: Big egg loosely put, and that seems to be where

813
00:49:00,320 --> 00:49:03,680
Speaker 3: more and more people are finding eggs that sometimes are

814
00:49:03,760 --> 00:49:06,800
Speaker 3: more affordable than what you see at the grocery store.

815
00:49:07,200 --> 00:49:10,560
Speaker 3: It's it's just weird because it's such an economic reverse

816
00:49:10,760 --> 00:49:12,200
Speaker 3: of the usual status quo.

817
00:49:13,480 --> 00:49:16,200
Speaker 4: That is a good point, Ben. It does make you wonder,

818
00:49:16,239 --> 00:49:19,320
Speaker 4: are we going to start seeing more backyard chicken coops?

819
00:49:20,480 --> 00:49:22,200
Speaker 4: And if that is the case, are we going to

820
00:49:22,280 --> 00:49:26,160
Speaker 4: start seeing more regulations of said backyard chicken coops.

821
00:49:26,320 --> 00:49:26,799
Speaker 1: I don't know.

822
00:49:26,880 --> 00:49:28,719
Speaker 3: That would be a tough one to pull off. That

823
00:49:28,760 --> 00:49:32,920
Speaker 3: would take some real or welly and double think for

824
00:49:33,200 --> 00:49:36,040
Speaker 3: the current to crack down. Yeah, for the yes to

825
00:49:36,160 --> 00:49:37,080
Speaker 3: crack up.

826
00:49:37,120 --> 00:49:40,359
Speaker 4: But I mean technically you have to be zoned appropriately

827
00:49:41,160 --> 00:49:44,839
Speaker 4: to have livestock, and I mean chickens are still aren't

828
00:49:44,880 --> 00:49:48,080
Speaker 4: they considered that? Can anybody just have a chicken coop?

829
00:49:48,480 --> 00:49:51,839
Speaker 4: It is my understanding that there are some restrictions around that.

830
00:49:52,000 --> 00:49:55,840
Speaker 4: Growing your own food and having you know, animals, farm animals,

831
00:49:55,880 --> 00:49:57,440
Speaker 4: you know, on a residential property.

832
00:49:57,760 --> 00:50:01,640
Speaker 3: Yes, but yes, you're absolutely right, state by state, municipality

833
00:50:01,680 --> 00:50:04,800
Speaker 3: by a municipality. If you have a real persnickety, power

834
00:50:04,840 --> 00:50:09,200
Speaker 3: hungry hoa person, then your results may vary. But also

835
00:50:09,360 --> 00:50:14,440
Speaker 3: in the larger context and the precedent of things. This

836
00:50:14,640 --> 00:50:17,000
Speaker 3: is kind of what you guys remember the Great Depression.

837
00:50:17,120 --> 00:50:20,280
Speaker 3: This is what happened during a previous economic collapse. People

838
00:50:20,320 --> 00:50:24,160
Speaker 3: were forced to have gardens like victory gardens. During the

839
00:50:24,160 --> 00:50:27,400
Speaker 3: World Wars, people were forced to grow as much of

840
00:50:27,440 --> 00:50:30,240
Speaker 3: their own stuff as they could. So if you ever consider,

841
00:50:30,840 --> 00:50:32,759
Speaker 3: not to be alarmist, but if you ever consider a

842
00:50:32,760 --> 00:50:36,399
Speaker 3: survival situation, please remember the stuff you need to learn

843
00:50:36,520 --> 00:50:39,960
Speaker 3: and know is not the stuff that looks cool in movies.

844
00:50:40,120 --> 00:50:42,000
Speaker 4: It's things like how to find.

845
00:50:41,760 --> 00:50:45,640
Speaker 3: And purify water and how to raise chickens so that

846
00:50:45,800 --> 00:50:51,200
Speaker 3: you have food. I don't know, should we get chickens?

847
00:50:51,239 --> 00:50:53,680
Speaker 4: It certainly seems like a good forward thinking move at

848
00:50:53,680 --> 00:50:54,120
Speaker 4: this plant.

849
00:50:54,160 --> 00:50:56,600
Speaker 2: So I'm saying we need to go back to that

850
00:50:56,719 --> 00:50:59,160
Speaker 2: chicken dead and get some chickens. Find out how we

851
00:50:59,239 --> 00:51:01,759
Speaker 2: do it, let's make it happen. Made me think about

852
00:51:01,800 --> 00:51:03,840
Speaker 2: the price of mayonnaise, with all the eggs that go

853
00:51:03,840 --> 00:51:09,799
Speaker 2: into mayonnaise, A gallon of Duke's mayo about thirty three

854
00:51:09,840 --> 00:51:12,200
Speaker 2: bucks right now.

855
00:51:14,480 --> 00:51:17,440
Speaker 3: Oh wow, that's amazing. Is this Whole Foods? Is that

856
00:51:17,480 --> 00:51:19,239
Speaker 3: where these numbers are coming from?

857
00:51:19,280 --> 00:51:19,680
Speaker 4: I don't know.

858
00:51:19,760 --> 00:51:21,680
Speaker 2: I'm just making stuff up there that it comes from

859
00:51:21,719 --> 00:51:23,440
Speaker 2: the webstaurant store.

860
00:51:23,480 --> 00:51:24,440
Speaker 4: I don't know what that means.

861
00:51:24,600 --> 00:51:27,920
Speaker 2: You can get a thirty pound tub of restaurant Duke's

862
00:51:27,960 --> 00:51:30,560
Speaker 2: mayo for one hundred bucks. I don't know if that's

863
00:51:30,600 --> 00:51:31,040
Speaker 2: good or bad.

864
00:51:31,520 --> 00:51:33,959
Speaker 3: I bet that's a man. Life at the top must

865
00:51:34,000 --> 00:51:36,960
Speaker 3: be crazy. I bet Musk is ordering one right now.

866
00:51:38,000 --> 00:51:43,120
Speaker 3: So it's true too. It's baffling and the fuddling because

867
00:51:43,200 --> 00:51:47,440
Speaker 3: this brings us to another conspiracy that I would say

868
00:51:47,480 --> 00:51:51,560
Speaker 3: is diving and conspiracy theory. It's a proven thing. Corporations

869
00:51:51,880 --> 00:51:54,960
Speaker 3: did have to raise prices during the pandemic right due

870
00:51:54,960 --> 00:51:58,480
Speaker 3: to supply chain collapse, but then realize they didn't have

871
00:51:58,520 --> 00:52:01,360
Speaker 3: to immediately drop them. There's no one making them go

872
00:52:01,520 --> 00:52:05,280
Speaker 3: back to quote unquote normal, So they took that slow ride,

873
00:52:05,280 --> 00:52:09,040
Speaker 3: that slow boat, and then ate there as much of

874
00:52:09,080 --> 00:52:12,560
Speaker 3: their vigoroush as they could along the way. And I

875
00:52:12,560 --> 00:52:15,400
Speaker 3: would say that you know part of this like yeah,

876
00:52:15,440 --> 00:52:19,360
Speaker 3: like you said, Noel, it's definitely due to it's definitely

877
00:52:19,480 --> 00:52:22,520
Speaker 3: due to those zoonotic concerns and av and flu. But

878
00:52:22,640 --> 00:52:27,040
Speaker 3: once even if that gets solved without a huge outbreak,

879
00:52:27,880 --> 00:52:29,719
Speaker 3: I don't think the prices are going to go down

880
00:52:30,640 --> 00:52:33,480
Speaker 3: as quickly as they should to just the raw economics

881
00:52:33,480 --> 00:52:33,719
Speaker 3: of it.

882
00:52:33,840 --> 00:52:35,440
Speaker 4: Well, and I know, I know this is outside the

883
00:52:35,440 --> 00:52:37,680
Speaker 4: scope of this particular topic and something that we're going

884
00:52:37,719 --> 00:52:40,040
Speaker 4: to discuss some more detail later, but with these tariffs

885
00:52:40,040 --> 00:52:43,359
Speaker 4: and the corresponding price hikes that are going to get

886
00:52:43,560 --> 00:52:47,320
Speaker 4: clearly passed on to the consumer, how do you see

887
00:52:47,360 --> 00:52:50,239
Speaker 4: that shaking out? Especially given that a big, you know,

888
00:52:50,680 --> 00:52:53,360
Speaker 4: thing that the Trump administration campaigned on was like bringing

889
00:52:53,400 --> 00:52:56,160
Speaker 4: down the price of groceries. A big reason a lot

890
00:52:56,160 --> 00:52:59,200
Speaker 4: of people apparently voted for for the man it was

891
00:52:59,239 --> 00:53:01,879
Speaker 4: because they felt like Biden had failed them or their

892
00:53:02,000 --> 00:53:04,920
Speaker 4: Democrats had failed them in terms of just normal everyday

893
00:53:04,960 --> 00:53:07,920
Speaker 4: concerns for everyday people, Like, how do you see all

894
00:53:07,920 --> 00:53:08,680
Speaker 4: that shaking out?

895
00:53:09,920 --> 00:53:13,239
Speaker 3: Yeah, Matt, we might have different opinions on this, but

896
00:53:13,440 --> 00:53:17,600
Speaker 3: I suspect that all three of us, I think, will

897
00:53:17,640 --> 00:53:24,640
Speaker 3: have the same analysis. The goal to controlling a narrative

898
00:53:24,719 --> 00:53:27,719
Speaker 3: at a wide scale like this is you one you

899
00:53:27,800 --> 00:53:31,279
Speaker 3: control the problem, which means you create the problem, and

900
00:53:31,320 --> 00:53:34,799
Speaker 3: then two you solve the problem you created. If you

901
00:53:34,920 --> 00:53:39,040
Speaker 3: cannot solve the problem you created, you find a scapegoat.

902
00:53:39,120 --> 00:53:43,920
Speaker 3: And the scapegoat could be any number of things. In

903
00:53:44,160 --> 00:53:47,759
Speaker 3: this case, I think what we'll properly see if a

904
00:53:47,840 --> 00:53:50,480
Speaker 3: scapegoat is needed, is going to be other countries.

905
00:53:50,960 --> 00:53:54,839
Speaker 4: Quite honestly, no question about it. Yeah, and then it's

906
00:53:54,840 --> 00:53:57,719
Speaker 4: such a classic move too, is to create the problem

907
00:53:57,880 --> 00:54:01,279
Speaker 4: and then sell the solution to the people and click

908
00:54:01,320 --> 00:54:02,359
Speaker 4: credit for that as well.

909
00:54:02,719 --> 00:54:06,520
Speaker 2: Yes, yes, it's raisin toast. It's basically rap.

910
00:54:07,160 --> 00:54:09,319
Speaker 4: It is mega raisins. I think we're going to use

911
00:54:09,360 --> 00:54:14,279
Speaker 4: that as a stand in for all things bad. I'm sorry, Matt.

912
00:54:14,320 --> 00:54:17,040
Speaker 4: I want you to enjoy the things that you enjoy. Guys,

913
00:54:17,040 --> 00:54:19,719
Speaker 4: I was going to talk about all the microplastics in

914
00:54:19,760 --> 00:54:23,200
Speaker 4: our brains, and I guess I just have because that

915
00:54:23,320 --> 00:54:26,640
Speaker 4: is absolutely a story that has has hit the news.

916
00:54:26,640 --> 00:54:31,360
Speaker 4: A recent study from a serious scientific journal, Nature Medicine.

917
00:54:31,440 --> 00:54:33,600
Speaker 4: I'll just read you a quick excerpt from from the

918
00:54:33,920 --> 00:54:38,920
Speaker 4: from the abstract. This is by a massive cavalcade of

919
00:54:39,239 --> 00:54:41,920
Speaker 4: serious researchers. I went too long, list too long to

920
00:54:42,000 --> 00:54:46,400
Speaker 4: name here. Rising global concentrations of environmental microplastics and nanoplastics

921
00:54:46,480 --> 00:54:50,040
Speaker 4: drive concerns for human exposure and health outcomes. Complimentary methods

922
00:54:50,040 --> 00:54:55,400
Speaker 4: for the robust detection of tissue MNPs, including cyroholysis, gas chromatography,

923
00:54:55,480 --> 00:55:02,200
Speaker 4: mass spectrometry, attenuated total reference forty trans form infrared spectroscopy,

924
00:55:02,239 --> 00:55:06,840
Speaker 4: and electron microscopy with energy dispersive spectroscopy confirm the presence

925
00:55:06,840 --> 00:55:12,279
Speaker 4: of MNPs in human kidney, liver, and brains. And to

926
00:55:12,440 --> 00:55:16,680
Speaker 4: put it in slightly more Layman's terms here real quickly

927
00:55:16,880 --> 00:55:21,000
Speaker 4: will refer to an article from CBS by Sarah Monezuko.

928
00:55:21,480 --> 00:55:25,640
Speaker 4: Human brains contain higher concentrations of microplastics than other organs,

929
00:55:25,640 --> 00:55:28,160
Speaker 4: according to a new study, and the amount appears to

930
00:55:28,200 --> 00:55:33,319
Speaker 4: be increasing over time. So I think, look it up.

931
00:55:33,840 --> 00:55:37,200
Speaker 4: There's definitely something to be gleaned from the abstract of

932
00:55:37,280 --> 00:55:41,040
Speaker 4: the document itself, of the study itself. We'll leave you

933
00:55:41,080 --> 00:55:44,480
Speaker 4: with microplastics being of course, these tiny microscopic There are

934
00:55:44,520 --> 00:55:47,960
Speaker 4: of course also nano plastics of degraded polymers that are

935
00:55:47,960 --> 00:55:52,800
Speaker 4: found the environment, including air, water, and soil. And the

936
00:55:52,840 --> 00:55:56,920
Speaker 4: most common version of this that is being found in

937
00:55:57,000 --> 00:56:02,640
Speaker 4: human brains through autopsies through sections that have historically shown

938
00:56:02,640 --> 00:56:07,680
Speaker 4: increases of this over time is polyethylene, which is a

939
00:56:07,719 --> 00:56:10,440
Speaker 4: material that is used in plastic bags and tupperware and

940
00:56:10,480 --> 00:56:13,480
Speaker 4: things like that. It also seems to be part of

941
00:56:13,560 --> 00:56:18,640
Speaker 4: a cycle wherein these things are found in water, which

942
00:56:18,680 --> 00:56:20,759
Speaker 4: is then used to irrigate fields, which is then used

943
00:56:20,800 --> 00:56:24,560
Speaker 4: to you know, water livestock, which are then you know,

944
00:56:24,680 --> 00:56:29,480
Speaker 4: excreting manure that is then also used to fertilize crops,

945
00:56:29,800 --> 00:56:33,680
Speaker 4: and it's just a kind of self feeding system. These

946
00:56:33,719 --> 00:56:36,920
Speaker 4: micro and nanoplastics, by the way, measure two hundred nanometers

947
00:56:37,000 --> 00:56:40,240
Speaker 4: or less and therefore are able to cross the blood

948
00:56:40,280 --> 00:56:43,680
Speaker 4: brain barrier. Yeah, and just to put it in like

949
00:56:43,800 --> 00:56:50,720
Speaker 4: you know, quantitative terms, apparently many human brains may contain

950
00:56:50,880 --> 00:56:55,239
Speaker 4: as much as what would physically resemble a spoonful of

951
00:56:55,280 --> 00:56:58,480
Speaker 4: this stuff. Oh yes, sorry to leave with such a

952
00:56:58,520 --> 00:57:00,760
Speaker 4: bomber guy. And then I hope you guys have something

953
00:57:00,800 --> 00:57:03,319
Speaker 4: to add to bring it home. But I did think

954
00:57:03,360 --> 00:57:05,319
Speaker 4: this was worth mentioning. I don't think we need to

955
00:57:05,320 --> 00:57:06,960
Speaker 4: go into a much deeper I don't want to doom

956
00:57:07,000 --> 00:57:08,560
Speaker 4: and gloom the hell out of us, but it is

957
00:57:08,560 --> 00:57:10,719
Speaker 4: something that people should be aware of. And you know,

958
00:57:10,760 --> 00:57:13,879
Speaker 4: are we all going to die of cancer tomorrow from

959
00:57:13,920 --> 00:57:17,560
Speaker 4: this stuff? No, but it's just, you know, it's just

960
00:57:17,640 --> 00:57:21,320
Speaker 4: scary and an example of the way the knock on

961
00:57:21,360 --> 00:57:24,000
Speaker 4: effects of innovation and things that were not done with

962
00:57:24,040 --> 00:57:26,640
Speaker 4: that like this is this, like asbestos was not the

963
00:57:26,760 --> 00:57:28,760
Speaker 4: end of this kind of thing of materials that were

964
00:57:28,800 --> 00:57:32,000
Speaker 4: just used so prominently, only then to be realized we're

965
00:57:32,040 --> 00:57:35,240
Speaker 4: toxic long term. You know, we're still living in an

966
00:57:35,280 --> 00:57:37,240
Speaker 4: age where we're going to keep seeing stuff like that.

967
00:57:37,240 --> 00:57:38,320
Speaker 4: That's that's all I'm going to say.

968
00:57:38,360 --> 00:57:43,680
Speaker 3: Absolutely, microplastics, the new B two B right, brain to

969
00:57:43,760 --> 00:57:45,040
Speaker 3: balls and.

970
00:57:45,680 --> 00:57:47,600
Speaker 4: Yeah that was the last one, right, was not the last?

971
00:57:48,160 --> 00:57:50,160
Speaker 4: The surprise that we're in your testicles?

972
00:57:50,600 --> 00:57:55,080
Speaker 3: Yeah, I think the wombs are more concerning, honestly, the

973
00:57:55,480 --> 00:57:59,040
Speaker 3: fetal transfer because of the effects that we'll have on

974
00:57:59,600 --> 00:58:03,680
Speaker 3: neural logical development. But please keep in mind that these

975
00:58:03,720 --> 00:58:04,840
Speaker 3: stories go viral.

976
00:58:05,000 --> 00:58:05,160
Speaker 4: Right.

977
00:58:05,800 --> 00:58:09,040
Speaker 3: The science is there, The science is credible, but it

978
00:58:09,200 --> 00:58:12,600
Speaker 3: also maybe makes us focus too much on one hand

979
00:58:12,720 --> 00:58:16,040
Speaker 3: when we have to remember the other hands at play.

980
00:58:16,560 --> 00:58:19,680
Speaker 3: I'm doing a really cool hand thing. Hey whatever, we're

981
00:58:19,680 --> 00:58:23,760
Speaker 3: an audio podcast. But like, lead exposure is still real. Right,

982
00:58:24,160 --> 00:58:28,960
Speaker 3: there's a reason why smoking rates are higher in parts

983
00:58:29,000 --> 00:58:32,000
Speaker 3: of Western Europe or parts of Asia, and people also

984
00:58:32,360 --> 00:58:33,960
Speaker 3: have lower rates of cancer.

985
00:58:34,320 --> 00:58:36,320
Speaker 4: That's right, you know what, Ben, that's really well said.

986
00:58:36,320 --> 00:58:38,080
Speaker 4: I never really quite made that connection, but I think

987
00:58:38,120 --> 00:58:40,040
Speaker 4: you're absolutely right. I mean, I'm sure you've got the

988
00:58:40,120 --> 00:58:42,040
Speaker 4: data to back then there's more stuff than the tracks.

989
00:58:42,240 --> 00:58:46,800
Speaker 3: Yeah, but a spoonful huh, spoonful of sugar?

990
00:58:46,880 --> 00:58:49,800
Speaker 2: Now, What would Steve Sharippa have to say about that? Noel,

991
00:58:50,480 --> 00:58:54,840
Speaker 2: that's his name. Yeah, I just passed. I just passed

992
00:58:54,840 --> 00:58:56,520
Speaker 2: a half. But does an egg through my rea?

993
00:58:57,440 --> 00:58:58,880
Speaker 4: He would say that that's the only thing he knows

994
00:58:58,880 --> 00:58:59,520
Speaker 4: how to say with.

995
00:58:59,440 --> 00:59:03,240
Speaker 3: A catch with little plastic spects.

996
00:59:03,560 --> 00:59:09,280
Speaker 2: They looked eggs an egg for you exactly on top of.

997
00:59:09,240 --> 00:59:12,440
Speaker 4: The base price. Yeah. I do have one unrelated silly

998
00:59:12,560 --> 00:59:14,520
Speaker 4: thing to add. I was hanging out with a friend

999
00:59:14,760 --> 00:59:16,640
Speaker 4: at an event that I was part of here in

1000
00:59:16,680 --> 00:59:20,040
Speaker 4: New York yesterday, and he has I think we all

1001
00:59:20,120 --> 00:59:23,880
Speaker 4: have a mavericky, you know, hustler friend like this that

1002
00:59:23,960 --> 00:59:26,120
Speaker 4: we grew up with who always sort of like had

1003
00:59:26,160 --> 00:59:28,120
Speaker 4: their finger on the pultse and was trying to hustle

1004
00:59:28,120 --> 00:59:30,040
Speaker 4: and make a little extra coin. This is a guy

1005
00:59:30,040 --> 00:59:32,640
Speaker 4: who apparently ran like illegal card games for a while,

1006
00:59:32,840 --> 00:59:37,480
Speaker 4: and his new hustle has been selling counterfeit Donald Trump

1007
00:59:37,720 --> 00:59:42,400
Speaker 4: autographs on eBay and he apparently is absolutely cleaning up.

1008
00:59:42,720 --> 00:59:44,800
Speaker 4: I posit to you, guys, who propose to you? Guys?

1009
00:59:44,840 --> 00:59:47,600
Speaker 4: How long can a con like that go on before

1010
00:59:47,840 --> 00:59:49,720
Speaker 4: the powers that be catch up to you. I mean,

1011
00:59:49,760 --> 00:59:53,000
Speaker 4: all of these transactions are clearly trackable, Like I just

1012
00:59:53,080 --> 00:59:54,640
Speaker 4: I'm curious what you guys think about that.

1013
00:59:55,160 --> 00:59:57,360
Speaker 3: It depends, to be honest with you, it depends upon

1014
00:59:57,560 --> 01:00:03,640
Speaker 3: the financial threshold. That's what grand that's what's bigger. Yeah,

1015
01:00:03,680 --> 01:00:06,200
Speaker 3: that's great for now. I would just be very careful

1016
01:00:06,360 --> 01:00:09,880
Speaker 3: about how the how the frequency works, and how the

1017
01:00:10,000 --> 01:00:16,480
Speaker 3: distribution and withdrawal works, because uh, eBay eBay is kind

1018
01:00:16,480 --> 01:00:21,800
Speaker 3: of like the FEDS with bank with with bank deposits,

1019
01:00:21,880 --> 01:00:23,840
Speaker 3: you know what I mean, there's a reason why. Back

1020
01:00:23,880 --> 01:00:27,040
Speaker 3: in the day, and not accusing anybody in the crowd,

1021
01:00:27,080 --> 01:00:31,320
Speaker 3: but this doesn't work anymore. Okay, Back in the day,

1022
01:00:31,600 --> 01:00:34,400
Speaker 3: if you had some money you needed to clean and

1023
01:00:34,440 --> 01:00:36,200
Speaker 3: you wanted to go to the bank. Let's see, you

1024
01:00:36,200 --> 01:00:39,400
Speaker 3: had one hundred thousand dollars, then you went to ten

1025
01:00:39,520 --> 01:00:43,200
Speaker 3: different banks and made sure to deposit less than ten

1026
01:00:43,280 --> 01:00:45,480
Speaker 3: thousand dollars in each one of them.

1027
01:00:45,640 --> 01:00:47,840
Speaker 4: That is not going to work. Yeah, yeah, that's right.

1028
01:00:48,160 --> 01:00:52,760
Speaker 3: And so so there I would just I would just

1029
01:00:53,440 --> 01:00:58,240
Speaker 3: diplomatically consult your friend, don't do advice, don't get evolved,

1030
01:00:58,280 --> 01:01:02,960
Speaker 3: but just observe with them. Call it an observation that

1031
01:01:03,000 --> 01:01:07,480
Speaker 3: there are certain triggers and thresholds. That's what's going to

1032
01:01:07,520 --> 01:01:11,080
Speaker 3: do it I don't think. I genuinely don't think the

1033
01:01:13,000 --> 01:01:17,200
Speaker 3: Trump administration itself, or the Trump campaign or the many

1034
01:01:17,240 --> 01:01:22,600
Speaker 3: Trump companies would care until it gets past a certain threshold.

1035
01:01:22,840 --> 01:01:27,960
Speaker 4: Beware the gaze of Doge. It's easily they're coming for you. Well,

1036
01:01:27,960 --> 01:01:29,880
Speaker 4: that's all I got for today, guys.

1037
01:01:30,040 --> 01:01:33,520
Speaker 3: And with that, we want to hear what you've got,

1038
01:01:34,760 --> 01:01:38,720
Speaker 3: Show me what you've got. We know we encountered a

1039
01:01:38,760 --> 01:01:41,440
Speaker 3: lot of stuff. We're bringing some levity to this because

1040
01:01:41,480 --> 01:01:46,000
Speaker 3: it is regardless of where you follow, ideologically, it is

1041
01:01:46,040 --> 01:01:49,560
Speaker 3: a very uncertain time for the United States, which means

1042
01:01:49,720 --> 01:01:54,400
Speaker 3: therefore it is a very uncertain time for the world overall.

1043
01:01:54,640 --> 01:01:57,040
Speaker 3: It's going to be fascinated to go back to things

1044
01:01:57,120 --> 01:02:01,480
Speaker 3: like this and other episodes we've recorded earlier, and see

1045
01:02:01,880 --> 01:02:05,440
Speaker 3: the Dendo chronology of the podcast, the tree rings of

1046
01:02:05,440 --> 01:02:08,240
Speaker 3: how things changed over time. If you want to be

1047
01:02:08,280 --> 01:02:10,320
Speaker 3: a part of it, and we sure hope you do,

1048
01:02:10,560 --> 01:02:14,760
Speaker 3: there are many ways to join up with us until

1049
01:02:14,800 --> 01:02:17,560
Speaker 3: the lights go out. You can write to us, you

1050
01:02:17,600 --> 01:02:19,520
Speaker 3: can call us on the phone. You can find us

1051
01:02:19,560 --> 01:02:24,200
Speaker 3: on the lines, the internet lines, the pipes, the online pipes.

1052
01:02:24,400 --> 01:02:27,040
Speaker 4: Yeah, we're lurking in the pipes somewhere You can find

1053
01:02:27,080 --> 01:02:28,960
Speaker 4: us at the handle Conspiracy Stuff where we exist on

1054
01:02:29,000 --> 01:02:31,240
Speaker 4: Facebook with our Facebook group Here's where it gets Crazy,

1055
01:02:31,240 --> 01:02:34,840
Speaker 4: as well as on x FKA, Twitter and YouTube where

1056
01:02:34,880 --> 01:02:37,800
Speaker 4: we have video content goolord for your perusing enjoyment, on

1057
01:02:37,840 --> 01:02:40,400
Speaker 4: Instagram and TikTok. However, we are Conspiracy Stuff Show, and

1058
01:02:40,480 --> 01:02:42,480
Speaker 4: we are also human people on the Internet. I am

1059
01:02:42,480 --> 01:02:45,960
Speaker 4: how now Noel Brown on Instagram, Ben Bowen betcha. You

1060
01:02:45,960 --> 01:02:47,320
Speaker 4: can tell people where to find you.

1061
01:02:48,680 --> 01:02:54,920
Speaker 3: I am on Instagram dot com. Also on x what

1062
01:02:55,000 --> 01:02:55,960
Speaker 3: about you, Matt.

1063
01:02:56,400 --> 01:03:00,000
Speaker 2: Look at me, I'm mister me Seeks. Let's get swifty, guys,

1064
01:03:00,440 --> 01:03:03,120
Speaker 2: why don't you call us? Get shwifty with it? It's

1065
01:03:03,160 --> 01:03:07,200
Speaker 2: one eight three three std WYTK. When you call in,

1066
01:03:07,320 --> 01:03:09,600
Speaker 2: give yourself a cool nickname and let us know if

1067
01:03:09,600 --> 01:03:11,280
Speaker 2: we can use your name and message on the air.

1068
01:03:11,320 --> 01:03:14,040
Speaker 2: You've got three minutes. Say whatever you'd like. Tell us

1069
01:03:14,080 --> 01:03:16,480
Speaker 2: your opinions on any of the stories we talked about today.

1070
01:03:16,640 --> 01:03:20,320
Speaker 2: Give us another story to cover. If you've got links,

1071
01:03:20,400 --> 01:03:22,720
Speaker 2: maybe images or something like that, why not instead send

1072
01:03:22,800 --> 01:03:23,400
Speaker 2: us an email.

1073
01:03:23,520 --> 01:03:27,080
Speaker 3: We are the entities that read every piece of correspondence

1074
01:03:27,120 --> 01:03:31,120
Speaker 3: we receive and quitch pro quo Clarice, We're going to

1075
01:03:31,160 --> 01:03:33,440
Speaker 3: give you some good news. If you'd ever like to

1076
01:03:33,440 --> 01:03:35,480
Speaker 3: hear good news, you can always write to us and

1077
01:03:35,560 --> 01:03:38,000
Speaker 3: ask us for some Here is the good news. You

1078
01:03:38,040 --> 01:03:41,000
Speaker 3: may have heard the story of the fungus infected spiders

1079
01:03:41,440 --> 01:03:46,360
Speaker 3: Cordyceps style discovered in northern Ireland. Did some digging on that.

1080
01:03:46,520 --> 01:03:50,600
Speaker 3: The reason that humans are not yet last of us

1081
01:03:50,720 --> 01:03:55,200
Speaker 3: kind of situation right now is because these sorts of

1082
01:03:55,320 --> 01:04:02,240
Speaker 3: parasitic controlling fungal infections cold blooded creatures. So keep your

1083
01:04:02,280 --> 01:04:05,080
Speaker 3: blood warm and tell us what's on your mind. We

1084
01:04:05,080 --> 01:04:08,560
Speaker 3: will preserve your anonymity. Give us suggestions for new episodes

1085
01:04:08,640 --> 01:04:11,320
Speaker 3: or stories you would like us to cover here. Give

1086
01:04:11,360 --> 01:04:14,520
Speaker 3: us your honest responses. We can't wait to hear from you,

1087
01:04:14,560 --> 01:04:17,520
Speaker 3: no judgment. As always, you are the most important part

1088
01:04:17,520 --> 01:04:21,000
Speaker 3: of the show. Do we really read? Does the void respond?

1089
01:04:21,000 --> 01:04:23,760
Speaker 3: There's one way to find out. Step away from the light,

1090
01:04:24,120 --> 01:04:53,880
Speaker 3: join us here in the dark Conspiracy at iHeartRadio dot com.

1091
01:04:54,080 --> 01:04:56,080
Speaker 2: Stuff they Don't Want You to Know is a production

1092
01:04:56,240 --> 01:04:59,960
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the ihe

1093
01:05:00,000 --> 01:05:02,880
Speaker 2: heart Radio app, Apple Podcasts, or wherever you listen to

1094
01:05:02,880 --> 01:05:03,720
Speaker 2: your favorite shows.