1
00:00:00,280 --> 00:00:02,080
Speaker 1: Before we get started, I just wanted to say thank

2
00:00:02,120 --> 00:00:03,960
Speaker 1: you all so much for the premium subscribers who've been

3
00:00:04,000 --> 00:00:06,800
Speaker 1: helping us out building the new set, supporting our work

4
00:00:06,840 --> 00:00:09,320
Speaker 1: over here. If you are able Breakingpoints dot com. We

5
00:00:09,400 --> 00:00:12,479
Speaker 1: love all our monthly, yearly, and lifetime members who are

6
00:00:12,480 --> 00:00:15,680
Speaker 1: helping us out. And also, we are getting dangerously close

7
00:00:15,720 --> 00:00:18,920
Speaker 1: to one million, nine hundred and sixty two thousand subscribers

8
00:00:19,120 --> 00:00:21,439
Speaker 1: on YouTube. If you can go ahead and hit the

9
00:00:21,480 --> 00:00:24,440
Speaker 1: subscribe button, we noticed that we're having a higher percentage

10
00:00:24,440 --> 00:00:26,920
Speaker 1: than normal of not subscribe viewers, which.

11
00:00:26,760 --> 00:00:28,280
Speaker 2: If you aren't, what are you waiting for?

12
00:00:28,320 --> 00:00:30,960
Speaker 1: At the very least subscribe to the YouTube channel, hit

13
00:00:31,160 --> 00:00:32,640
Speaker 1: like or whatever on all of our videos.

14
00:00:32,680 --> 00:00:33,640
Speaker 2: It really helps us out.

15
00:00:33,800 --> 00:00:52,239
Speaker 1: And now let's get to the show. Good morning, everybody,

16
00:00:52,240 --> 00:00:54,800
Speaker 1: Happy Tuesday. We have an amazing show for everybody today.

17
00:00:54,800 --> 00:00:58,000
Speaker 1: Emily Dashinski is in the house for Ryan Grim and Crystal.

18
00:00:58,240 --> 00:00:59,960
Speaker 1: It turns out and out of the leftists who work

19
00:01:00,080 --> 00:01:01,240
Speaker 1: with us want to work.

20
00:01:01,320 --> 00:01:01,840
Speaker 2: It's a joke.

21
00:01:02,480 --> 00:01:03,120
Speaker 3: He planned it.

22
00:01:03,160 --> 00:01:05,040
Speaker 4: Also, you scared the hell out of me with your

23
00:01:05,040 --> 00:01:06,920
Speaker 4: good morning. It was so absurdly l.

24
00:01:07,120 --> 00:01:07,920
Speaker 2: You don't understand.

25
00:01:08,200 --> 00:01:10,520
Speaker 1: We got to turn it on whenever we're starting here

26
00:01:10,520 --> 00:01:12,119
Speaker 1: at this or This is what I try and tell people.

27
00:01:12,120 --> 00:01:14,400
Speaker 1: Whenever you do this gig, you got to bring the energy.

28
00:01:14,440 --> 00:01:17,560
Speaker 1: And I know that that's what is for everybody at home.

29
00:01:17,600 --> 00:01:20,480
Speaker 1: So since my conservative critics all think I'm a leftist anyway,

30
00:01:20,920 --> 00:01:22,440
Speaker 1: I will be trying to bring.

31
00:01:22,440 --> 00:01:24,400
Speaker 2: The leftist perspective. I'm going to do my best.

32
00:01:24,440 --> 00:01:27,040
Speaker 1: Emily just maintain the hard right position, and we'll give

33
00:01:27,080 --> 00:01:29,720
Speaker 1: everybody as balance of a view as possible.

34
00:01:29,760 --> 00:01:30,080
Speaker 3: I did.

35
00:01:30,120 --> 00:01:32,640
Speaker 1: Hell, everyone, We're gonna have the most ambitious crossovers of

36
00:01:32,760 --> 00:01:35,759
Speaker 1: all time here on the Breaking Points Channel.

37
00:01:35,800 --> 00:01:38,520
Speaker 4: So we've never done it before, but we've never done

38
00:01:38,560 --> 00:01:39,000
Speaker 4: it before.

39
00:01:39,200 --> 00:01:39,800
Speaker 2: I feel like we have.

40
00:01:39,920 --> 00:01:42,160
Speaker 1: We've done a couple of podcasts and stuff together. We're

41
00:01:42,200 --> 00:01:44,520
Speaker 1: old friends, so I think it'll work. So we got

42
00:01:44,560 --> 00:01:47,039
Speaker 1: a bunch of topics that we're going to be discussing today.

43
00:01:47,080 --> 00:01:50,640
Speaker 1: Obviously the horrific shooting in Alan, Texas. We're going to

44
00:01:50,680 --> 00:01:53,120
Speaker 1: break down everything we know about the shooter. There's been

45
00:01:53,120 --> 00:01:56,360
Speaker 1: a little bit of a controversy around whether the information

46
00:01:56,400 --> 00:01:57,160
Speaker 1: that we have is.

47
00:01:57,080 --> 00:01:57,640
Speaker 2: True or not.

48
00:01:57,680 --> 00:02:00,600
Speaker 1: We're going to give you all the details possible, just

49
00:02:00,640 --> 00:02:02,600
Speaker 1: so you can know where things stand and you know

50
00:02:02,640 --> 00:02:04,640
Speaker 1: what possible takeaways we can have. We'll talk abut a

51
00:02:04,680 --> 00:02:07,640
Speaker 1: little bit about the media about whether Hispanics can be

52
00:02:07,680 --> 00:02:10,440
Speaker 1: white supremacist. What a twenty twenty three topic, not something

53
00:02:10,440 --> 00:02:13,120
Speaker 1: that we'd ever thought to be discussed. A secretary Buddha

54
00:02:13,240 --> 00:02:15,520
Speaker 1: Edge woke up from a three year coma. He's decided

55
00:02:15,560 --> 00:02:17,919
Speaker 1: to try and do something about airlines. We'll tell you

56
00:02:18,000 --> 00:02:20,359
Speaker 1: a little bit about that one. There's some lab Lak

57
00:02:20,480 --> 00:02:24,079
Speaker 1: news which just seriously, it's one of those where you

58
00:02:24,120 --> 00:02:26,920
Speaker 1: can't even believe it's real, but it is real, and

59
00:02:27,000 --> 00:02:28,440
Speaker 1: we will break all of that down for you.

60
00:02:28,520 --> 00:02:28,840
Speaker 2: AI.

61
00:02:29,360 --> 00:02:31,359
Speaker 1: We've been trying to stay on top of this story, Emily,

62
00:02:31,400 --> 00:02:32,840
Speaker 1: I know you guys have been looking at it to

63
00:02:33,200 --> 00:02:35,639
Speaker 1: We know it's going to change everything. This is one

64
00:02:35,680 --> 00:02:39,840
Speaker 1: where AI and education in particular, we're seeing massive disruption

65
00:02:39,960 --> 00:02:42,480
Speaker 1: and somehow we've decided Kamala Harris should be in charge,

66
00:02:42,560 --> 00:02:43,920
Speaker 1: so yeah, what could go wrong?

67
00:02:44,280 --> 00:02:46,520
Speaker 3: And then the artificial intelligence in charge.

68
00:02:46,240 --> 00:02:49,000
Speaker 1: Of the artificct that's right, Yeah, that's a good I

69
00:02:49,080 --> 00:02:52,480
Speaker 1: like that, all right, So reparations Also, since it's just

70
00:02:52,520 --> 00:02:54,080
Speaker 1: the two of us, we're like, hey, why don't we

71
00:02:54,240 --> 00:02:58,000
Speaker 1: pick one of the hottest topics in social science California

72
00:02:58,120 --> 00:03:00,480
Speaker 1: deciding possibly trying to pass reparations.

73
00:03:00,520 --> 00:03:02,000
Speaker 2: We're going to tell you what we know about that.

74
00:03:02,040 --> 00:03:05,520
Speaker 1: Emily's taking a look at the New York magazine Education

75
00:03:05,800 --> 00:03:08,120
Speaker 1: I will not say gay and new cover, and I'm

76
00:03:08,120 --> 00:03:10,480
Speaker 1: gonna be looking at gun control and talking about facts

77
00:03:10,480 --> 00:03:13,680
Speaker 1: of fiction. We also have Ken Clippenstein who is in

78
00:03:13,680 --> 00:03:16,080
Speaker 1: the show today. He's got a great news story about

79
00:03:16,280 --> 00:03:18,200
Speaker 1: new disinformation initiatives are.

80
00:03:18,040 --> 00:03:20,320
Speaker 2: Popping up all across the US government.

81
00:03:20,400 --> 00:03:23,200
Speaker 1: Ken has done some of the absolute, like the best

82
00:03:23,280 --> 00:03:27,919
Speaker 1: groundwork I think in terms of exposing the disinformation industrial complex,

83
00:03:27,960 --> 00:03:29,760
Speaker 1: if you will. And so we are going to get

84
00:03:29,800 --> 00:03:33,239
Speaker 1: into all of that, but let's start with Alan Texas.

85
00:03:33,320 --> 00:03:35,880
Speaker 1: So we didn't touch it yesterday because we're still a

86
00:03:35,920 --> 00:03:36,760
Speaker 1: developing situation.

87
00:03:36,800 --> 00:03:38,440
Speaker 2: We didn't really know and much about it.

88
00:03:38,480 --> 00:03:40,560
Speaker 1: Now, of course, it has become a major national story,

89
00:03:40,680 --> 00:03:42,920
Speaker 1: not just because of the horrific tragedy that's happened and

90
00:03:42,960 --> 00:03:46,000
Speaker 1: the victims, but now it's a sparking a meta conversation

91
00:03:46,120 --> 00:03:48,360
Speaker 1: around not only guns, which I'll be talking about in

92
00:03:48,400 --> 00:03:53,000
Speaker 1: my monologue, but also about you know, wide identity politics,

93
00:03:53,040 --> 00:03:55,640
Speaker 1: far right, the motives of said shooting, the way that

94
00:03:55,680 --> 00:03:59,280
Speaker 1: this media treatment is happening. First, just some on the

95
00:03:59,320 --> 00:04:02,800
Speaker 1: ground fact the initial reaction from a breaking news reporter

96
00:04:02,840 --> 00:04:04,040
Speaker 1: an NBC affiliate.

97
00:04:04,200 --> 00:04:06,360
Speaker 2: Here's what he had to say now.

98
00:04:06,400 --> 00:04:09,920
Speaker 5: Authorities report the first gunfire came in around three thirty

99
00:04:10,000 --> 00:04:13,200
Speaker 5: Saturday afternoon. That's when witnesses say a man dressed in black,

100
00:04:13,240 --> 00:04:16,839
Speaker 5: wearing body armour looking similar to a police officer, began

101
00:04:17,000 --> 00:04:21,400
Speaker 5: walking through the mall property here, firing indiscriminately, sending thousands

102
00:04:21,440 --> 00:04:24,680
Speaker 5: of people running for cover. Authorities tell us a police

103
00:04:24,680 --> 00:04:27,839
Speaker 5: officer that was responding to an unrelated call heard that

104
00:04:28,000 --> 00:04:32,640
Speaker 5: gunfire and ran towards the sound, immediately engaging the gunman,

105
00:04:32,800 --> 00:04:36,360
Speaker 5: shooting and killing him. But in the moments before police arrived,

106
00:04:36,760 --> 00:04:40,039
Speaker 5: we are told that hundreds did whatever they could inside

107
00:04:40,040 --> 00:04:41,800
Speaker 5: this property to survive.

108
00:04:42,880 --> 00:04:45,080
Speaker 6: So we ran to the back, barricaded it with some

109
00:04:45,120 --> 00:04:48,000
Speaker 6: concrete bricks, and then right then on the security camera

110
00:04:48,040 --> 00:04:49,520
Speaker 6: and thank god we went in the back of that

111
00:04:49,640 --> 00:04:53,400
Speaker 6: time we saw him walk right by, masked up, fake

112
00:04:53,480 --> 00:04:55,560
Speaker 6: police outfit on there you go.

113
00:04:55,560 --> 00:04:56,279
Speaker 2: All in Texas.

114
00:04:56,279 --> 00:04:59,000
Speaker 1: The initial reaction, you know, kudos to the police officer

115
00:04:59,080 --> 00:05:01,839
Speaker 1: not taking a tage the Uvaldi playbook running towards the

116
00:05:01,839 --> 00:05:02,680
Speaker 1: sound of gunfire.

117
00:05:03,120 --> 00:05:04,360
Speaker 2: Actually doing his job.

118
00:05:04,480 --> 00:05:07,160
Speaker 1: So questions, now, Emily, after a couple of days, who

119
00:05:07,240 --> 00:05:11,120
Speaker 1: is this guy? And there were some initial reports about

120
00:05:11,400 --> 00:05:14,599
Speaker 1: how we knew the name of the shooter. His name

121
00:05:14,640 --> 00:05:18,560
Speaker 1: is Mauricio Garcia. But then there were media reports about

122
00:05:18,560 --> 00:05:23,200
Speaker 1: how he had been inspired by possible white identity politics. Now,

123
00:05:23,200 --> 00:05:25,920
Speaker 1: before we get to said tattoos and alleged social media

124
00:05:25,960 --> 00:05:28,640
Speaker 1: profiles and all of that, let's start with what we

125
00:05:28,920 --> 00:05:31,800
Speaker 1: actually know. Let's put this up there on the screen

126
00:05:32,080 --> 00:05:36,600
Speaker 1: from the Washington Post. This was actually released also by investigators.

127
00:05:36,640 --> 00:05:40,560
Speaker 1: These are verified facts from the investigators who are on

128
00:05:40,640 --> 00:05:41,360
Speaker 1: the scene.

129
00:05:41,520 --> 00:05:43,279
Speaker 2: They say, not only were they.

130
00:05:43,160 --> 00:05:47,279
Speaker 1: Investigating the Texas gunman's quote alleged white supremacist ties, but

131
00:05:47,360 --> 00:05:51,680
Speaker 1: they have now confirmed that mister Garcia. Mauricio Garcia joined

132
00:05:51,680 --> 00:05:54,240
Speaker 1: the army, the US Army in June of two thousand

133
00:05:54,240 --> 00:05:57,400
Speaker 1: and eight, but was quote terminated three months later for

134
00:05:57,520 --> 00:06:01,800
Speaker 1: some sort of mental health condition. Three months obviously not

135
00:06:01,839 --> 00:06:04,440
Speaker 1: that long of a time to be separated, didn't even

136
00:06:04,960 --> 00:06:08,880
Speaker 1: qualify for his initial training before he went ahead and

137
00:06:09,200 --> 00:06:12,839
Speaker 1: got separated. So, in terms of the verified facts, we

138
00:06:12,920 --> 00:06:15,599
Speaker 1: know that the gunman's name was Mauricio Garcia. We know

139
00:06:15,680 --> 00:06:18,400
Speaker 1: that he was thirty three years old. We also know

140
00:06:19,040 --> 00:06:22,960
Speaker 1: that he lived somewhere in the Dallas area. Now from

141
00:06:22,960 --> 00:06:27,200
Speaker 1: that point on, it's all coming down to some breadcrumbs

142
00:06:27,240 --> 00:06:29,880
Speaker 1: that were possibly left online. And the reason that I'm

143
00:06:29,920 --> 00:06:33,880
Speaker 1: saying this kind of in a more trepidacious manner, Emily,

144
00:06:34,000 --> 00:06:37,200
Speaker 1: is because it has sparked a bit of concern as

145
00:06:37,200 --> 00:06:39,839
Speaker 1: to whether, quote, this is some sort of psyop or not.

146
00:06:39,920 --> 00:06:41,440
Speaker 2: Now I'm going to withhold.

147
00:06:41,040 --> 00:06:42,760
Speaker 1: My judgment for now, and I'm just going to show

148
00:06:42,800 --> 00:06:44,360
Speaker 1: you what people are reacting to.

149
00:06:44,800 --> 00:06:45,400
Speaker 2: Just a warning.

150
00:06:45,440 --> 00:06:48,400
Speaker 1: These are you know, these are really terrible images. But

151
00:06:48,480 --> 00:06:50,640
Speaker 1: let's go ahead and put these up there on the screen.

152
00:06:50,880 --> 00:06:54,760
Speaker 1: Initial images that were taken off of a Russian social

153
00:06:54,839 --> 00:06:57,200
Speaker 1: media website. I'm not even going to try and tell

154
00:06:57,240 --> 00:07:00,560
Speaker 1: you the name, something like Odo Klassaniski. I think I

155
00:07:00,600 --> 00:07:03,240
Speaker 1: did that pretty well, the second largest social media site

156
00:07:03,440 --> 00:07:07,640
Speaker 1: in Russia where the alleged shooter was posting on those

157
00:07:07,839 --> 00:07:11,920
Speaker 1: profile apparently had a profile or allegedly had a profile

158
00:07:12,600 --> 00:07:15,440
Speaker 1: where he had no connections, no friends, and was almost

159
00:07:15,520 --> 00:07:17,840
Speaker 1: using some sort of personal diary. On the left, you

160
00:07:17,840 --> 00:07:23,920
Speaker 1: can actually see a vest, bulletproof vest with the RWDS

161
00:07:24,480 --> 00:07:25,360
Speaker 1: logo that was on.

162
00:07:25,280 --> 00:07:26,960
Speaker 2: It that stands for right wing death squad.

163
00:07:27,040 --> 00:07:29,600
Speaker 1: That's something that's been appropriated by far right groups here

164
00:07:29,600 --> 00:07:32,320
Speaker 1: in the United States. In the middle, obviously, you can

165
00:07:32,360 --> 00:07:36,120
Speaker 1: see two fresh SS tattoos and a swastika hearkening to

166
00:07:36,400 --> 00:07:39,920
Speaker 1: the Nazierra, as well as a Texas tattoo that was

167
00:07:39,960 --> 00:07:43,760
Speaker 1: on the shoulder, a very odd meme that he actually posted,

168
00:07:43,840 --> 00:07:47,480
Speaker 1: which is certainly a discourse igniter, saying Latino children have

169
00:07:47,560 --> 00:07:49,960
Speaker 1: two different pats. One of them is to quote act

170
00:07:50,040 --> 00:07:53,160
Speaker 1: black and the other one is to become a white supremacist,

171
00:07:53,240 --> 00:07:56,720
Speaker 1: and also posting a YouTube account. The YouTube account was

172
00:07:56,760 --> 00:07:58,840
Speaker 1: live last time I looked at it, and I'm not

173
00:07:58,880 --> 00:08:01,000
Speaker 1: gonna lie. I mean, anytime you see any of these

174
00:08:01,240 --> 00:08:04,960
Speaker 1: people are straight up freaks, you know, wearing masks and

175
00:08:05,000 --> 00:08:07,240
Speaker 1: pulling it down and just acting in a really, really

176
00:08:07,520 --> 00:08:09,600
Speaker 1: bizarre manner. So, Emily, I want to get your reaction

177
00:08:09,680 --> 00:08:12,600
Speaker 1: to this, because the initial take that I've been able

178
00:08:12,640 --> 00:08:15,160
Speaker 1: to see so far from the tinpools of the world

179
00:08:15,000 --> 00:08:17,560
Speaker 1: and several other people who are out there.

180
00:08:17,400 --> 00:08:19,120
Speaker 2: Is that this all seems a bit too convenient.

181
00:08:19,200 --> 00:08:22,280
Speaker 1: A number one these images were unearthed by Belling Cat,

182
00:08:22,320 --> 00:08:24,960
Speaker 1: which is certainly an organization with I would. I think

183
00:08:24,960 --> 00:08:29,559
Speaker 1: it's fair to say, like a more neoliberal bent in Micraine. Yeah,

184
00:08:29,600 --> 00:08:32,160
Speaker 1: so you know it's a group that has been connected

185
00:08:32,160 --> 00:08:34,040
Speaker 1: to the State Department in the US government. We're not

186
00:08:34,200 --> 00:08:38,520
Speaker 1: above some conspiracy minds here. On the other hand, whenever

187
00:08:38,559 --> 00:08:41,840
Speaker 1: we look at this, we see tattoos, including Dallas tattoo

188
00:08:41,840 --> 00:08:45,080
Speaker 1: that's on the shooter's hand, compared to one taken from

189
00:08:45,080 --> 00:08:47,920
Speaker 1: the scene that was released there they do those two

190
00:08:47,960 --> 00:08:50,840
Speaker 1: appear to match? The name is it seems to match

191
00:08:50,880 --> 00:08:53,840
Speaker 1: the in terms of the details that were released. We

192
00:08:53,880 --> 00:08:55,559
Speaker 1: know that the right wing desk squad was included on

193
00:08:55,600 --> 00:08:59,000
Speaker 1: the shooters vast that included in the photo here. So

194
00:08:59,280 --> 00:09:01,480
Speaker 1: what is your take this? Like a do you think

195
00:09:01,520 --> 00:09:04,439
Speaker 1: that it rings true? Possibly true? Again, I'm trying to

196
00:09:04,480 --> 00:09:08,320
Speaker 1: withhold my judgment and look at it dispassionately. I can

197
00:09:08,400 --> 00:09:12,760
Speaker 1: see why people have questions about this as to how

198
00:09:12,800 --> 00:09:14,720
Speaker 1: it was on Earth and how quote unquote it looks

199
00:09:14,840 --> 00:09:16,520
Speaker 1: a little bit too convenient. But at the same time,

200
00:09:16,600 --> 00:09:18,760
Speaker 1: so many of the details do appear to add up

201
00:09:18,760 --> 00:09:20,439
Speaker 1: here on the social media profile.

202
00:09:20,559 --> 00:09:21,120
Speaker 3: Well, I think the.

203
00:09:21,200 --> 00:09:26,400
Speaker 4: Likely answer is probably the I mean, the less suspect answer.

204
00:09:26,440 --> 00:09:28,720
Speaker 4: It's probably just most likely that this is one of

205
00:09:28,760 --> 00:09:32,400
Speaker 4: the very many mentally ill, mentally struggling people in this

206
00:09:32,559 --> 00:09:38,400
Speaker 4: country who chose to act out this expression of their

207
00:09:38,480 --> 00:09:42,679
Speaker 4: personal anguish in an incredibly tragic and awful way. And

208
00:09:42,720 --> 00:09:45,040
Speaker 4: that's really not that hard for me to believe. And

209
00:09:45,480 --> 00:09:47,280
Speaker 4: I mean, of course it happens every week. And in

210
00:09:47,320 --> 00:09:50,240
Speaker 4: terms of the identity question, well, I mean this is

211
00:09:50,520 --> 00:09:53,559
Speaker 4: again also not that hard to believe, because people's.

212
00:09:53,240 --> 00:09:55,160
Speaker 3: Minds are swimming in garbage.

213
00:09:55,200 --> 00:09:57,160
Speaker 4: So like this idea that you can come up with

214
00:09:57,200 --> 00:10:00,959
Speaker 4: a Hispanic formulation for white supremacy in the media, I

215
00:10:01,000 --> 00:10:02,320
Speaker 4: think we have this as an element.

216
00:10:02,600 --> 00:10:04,240
Speaker 3: It's the last element in this block.

217
00:10:04,280 --> 00:10:06,839
Speaker 4: You can see side by side here Washington Post Wall

218
00:10:06,880 --> 00:10:08,200
Speaker 4: Street Journal headline.

219
00:10:07,880 --> 00:10:10,360
Speaker 2: Shown and put a eight there up on the screen. Yes,

220
00:10:10,360 --> 00:10:11,040
Speaker 2: thank thanks Sagar.

221
00:10:11,600 --> 00:10:15,200
Speaker 4: Yeah, so you can see white supremacist views after eight killed.

222
00:10:16,000 --> 00:10:18,040
Speaker 4: And this is on both of these I think it

223
00:10:18,160 --> 00:10:19,679
Speaker 4: was on both of the front pages of the print

224
00:10:19,800 --> 00:10:20,800
Speaker 4: editions yesterday too.

225
00:10:20,920 --> 00:10:24,319
Speaker 3: Yes, And that is again it's misleading.

226
00:10:24,360 --> 00:10:26,560
Speaker 4: It's out of context because if you don't know that

227
00:10:26,640 --> 00:10:30,040
Speaker 4: the shooter is Hispanic, you have a completely different takeaway.

228
00:10:30,080 --> 00:10:32,559
Speaker 4: At the same time, you have a guy with USS.

229
00:10:32,360 --> 00:10:35,280
Speaker 2: Tattoos and a swastika and the swastika.

230
00:10:34,760 --> 00:10:37,400
Speaker 4: And a lot of strange tattoos, a lot of strange beliefs.

231
00:10:37,559 --> 00:10:40,920
Speaker 4: But given the sort of worldview that we're all swimming

232
00:10:40,960 --> 00:10:43,480
Speaker 4: in right now, I don't think it's particularly strange to

233
00:10:43,559 --> 00:10:48,360
Speaker 4: imagine that a confused and mentally ill person would get

234
00:10:48,400 --> 00:10:50,280
Speaker 4: involved in an ideology like that.

235
00:10:50,360 --> 00:10:53,079
Speaker 1: Right, So elon, apparently jumping on the train here, let's

236
00:10:53,120 --> 00:10:55,800
Speaker 1: go and put this up there on the screen. Redheaded

237
00:10:55,880 --> 00:10:59,319
Speaker 1: Libertarian tweeting out that quote it's a sy op, and

238
00:10:59,440 --> 00:11:02,520
Speaker 1: it's not even good about questions around how exactly this

239
00:11:02,559 --> 00:11:06,199
Speaker 1: guy's social media was profile was posted, He says, quote,

240
00:11:06,360 --> 00:11:11,080
Speaker 1: this gets weirder by the moment. So again, I think

241
00:11:11,080 --> 00:11:13,760
Speaker 1: I just want to spend some time and look at this.

242
00:11:13,880 --> 00:11:19,360
Speaker 1: And given the fact that we have photos a face

243
00:11:19,440 --> 00:11:23,920
Speaker 1: reveal by the gunman which appears to match the person

244
00:11:24,160 --> 00:11:26,520
Speaker 1: we have the age, the way that this profile was

245
00:11:26,559 --> 00:11:28,439
Speaker 1: actually found you can actually go check it for yourself,

246
00:11:29,120 --> 00:11:32,960
Speaker 1: was by searching for the verified birthday of said person.

247
00:11:33,360 --> 00:11:36,080
Speaker 1: Now the question is is why is this weirdo freak

248
00:11:36,600 --> 00:11:40,160
Speaker 1: posting on the Russian social media website. Now, apparently this

249
00:11:40,240 --> 00:11:44,120
Speaker 1: Russian rous social media website has zero content moderation. One

250
00:11:44,120 --> 00:11:47,160
Speaker 1: of the reasons that Garcia has had problems with previous

251
00:11:47,160 --> 00:11:49,720
Speaker 1: social media platforms in the past is it kept getting

252
00:11:49,720 --> 00:11:52,400
Speaker 1: booted off of Facebook and of a normal US based

253
00:11:52,440 --> 00:11:55,280
Speaker 1: social media companies because he was posting like weird hitlerized

254
00:11:55,320 --> 00:11:59,000
Speaker 1: propaganda and Nazi inspired stuff. So that is a plausible

255
00:11:59,040 --> 00:12:01,360
Speaker 1: explanation as to why he would be keeping some sort

256
00:12:01,360 --> 00:12:04,280
Speaker 1: of odd video diary. I guess the only other theory

257
00:12:04,720 --> 00:12:06,800
Speaker 1: that is out there is that this is some sort

258
00:12:07,080 --> 00:12:08,800
Speaker 1: of plant and I mean, look.

259
00:12:09,520 --> 00:12:11,000
Speaker 2: I guess it's technically possible.

260
00:12:11,600 --> 00:12:15,640
Speaker 1: We should wait all of the facts that arise as

261
00:12:15,679 --> 00:12:18,840
Speaker 1: to what we're going to see that the investigators release,

262
00:12:19,240 --> 00:12:22,320
Speaker 1: whether they verify that these are social media profiles. I

263
00:12:22,320 --> 00:12:25,960
Speaker 1: should say, there are some social there are some company

264
00:12:26,160 --> 00:12:30,000
Speaker 1: or news organizations which claimed that they have verified that

265
00:12:30,040 --> 00:12:33,320
Speaker 1: this social media profile does belong to this gunman. Now

266
00:12:33,480 --> 00:12:37,800
Speaker 1: once again, it is certainly possible. One of the breadcrumbs

267
00:12:37,880 --> 00:12:42,600
Speaker 1: that we had met was that the investigators had seized

268
00:12:42,760 --> 00:12:46,560
Speaker 1: the laptop and the computer and the cell phone of

269
00:12:46,640 --> 00:12:49,439
Speaker 1: the gunmen, and they were the ones actually who initially

270
00:12:49,440 --> 00:12:51,559
Speaker 1: said it looks like he was into some crazy stuff,

271
00:12:51,600 --> 00:12:54,120
Speaker 1: which is what prompted some of the investigations.

272
00:12:54,120 --> 00:12:55,720
Speaker 2: So anyway, I think.

273
00:12:55,559 --> 00:12:57,400
Speaker 1: This is all just a long way for me of

274
00:12:57,440 --> 00:12:59,520
Speaker 1: saying of if you are out there and you are

275
00:12:59,520 --> 00:13:02,360
Speaker 1: skeptical around this, I can tell you, like I spent

276
00:13:02,520 --> 00:13:06,360
Speaker 1: hours of my life digging in seeing like where this

277
00:13:06,440 --> 00:13:10,480
Speaker 1: social media profile came from, the verifiability, given the hand

278
00:13:10,480 --> 00:13:14,280
Speaker 1: tattoos and all of that. The alternative explanations just don't

279
00:13:14,280 --> 00:13:16,400
Speaker 1: pass the smell test to me. One of them was

280
00:13:16,400 --> 00:13:20,120
Speaker 1: that this is some cartel related gun incident. The thing

281
00:13:20,200 --> 00:13:22,640
Speaker 1: is is that the victims of this shooting one in

282
00:13:22,880 --> 00:13:25,720
Speaker 1: is like a Korean family of four. By the way,

283
00:13:26,160 --> 00:13:28,880
Speaker 1: the only surviving person of that family is a six

284
00:13:28,960 --> 00:13:31,000
Speaker 1: year old child. And there's a gun, there's a gofund me.

285
00:13:31,160 --> 00:13:32,440
Speaker 1: Let's go and put the GoF on me in the

286
00:13:32,480 --> 00:13:35,040
Speaker 1: link here if we can. You know, we have an

287
00:13:35,040 --> 00:13:38,120
Speaker 1: Indian woman, for example, like who was killed. It appears

288
00:13:38,120 --> 00:13:41,480
Speaker 1: to be just completely indiscriminate. So in terms of victims,

289
00:13:41,520 --> 00:13:44,600
Speaker 1: like why the cartel thing wouldn't make sense not saying

290
00:13:44,640 --> 00:13:47,760
Speaker 1: that that there aren't innocent people who haven't been killed

291
00:13:47,760 --> 00:13:49,800
Speaker 1: in cartel related violence, but I'm saying like, there doesn't

292
00:13:49,840 --> 00:13:51,880
Speaker 1: even appear to be any link on this at all,

293
00:13:52,160 --> 00:13:54,360
Speaker 1: we have the investigators themselves saying that this is some

294
00:13:54,400 --> 00:13:58,760
Speaker 1: sort of you know, instigated attack by somebody with you know,

295
00:13:58,960 --> 00:14:02,839
Speaker 1: far right views. And then on top of all of that,

296
00:14:02,920 --> 00:14:05,840
Speaker 1: you know, from what we can see again in terms

297
00:14:05,880 --> 00:14:09,520
Speaker 1: of the details. While I understand that this certainly will

298
00:14:09,559 --> 00:14:12,920
Speaker 1: be used by people who you know, have a bone

299
00:14:13,000 --> 00:14:14,880
Speaker 1: to pick on gun control and do a home monologue

300
00:14:14,920 --> 00:14:17,120
Speaker 1: on this, or you know who want to say that,

301
00:14:17,200 --> 00:14:19,640
Speaker 1: you know, white supremacy or whatever is the biggest problem

302
00:14:19,680 --> 00:14:22,240
Speaker 1: that we face in the country, that doesn't necessarily negate

303
00:14:22,440 --> 00:14:24,200
Speaker 1: some of the facts around the case. And I think

304
00:14:24,240 --> 00:14:26,760
Speaker 1: that in general, instead, what we should try to do

305
00:14:26,880 --> 00:14:30,000
Speaker 1: is have a productive conversation, not just to talk just

306
00:14:30,080 --> 00:14:32,960
Speaker 1: about mental health, to honor some of the victims, including

307
00:14:33,000 --> 00:14:35,680
Speaker 1: the small children three year old at one point and

308
00:14:35,760 --> 00:14:38,040
Speaker 1: who were killed in this, and then try and arrive

309
00:14:38,040 --> 00:14:40,800
Speaker 1: at some sort of consensus as to like who and

310
00:14:40,840 --> 00:14:43,960
Speaker 1: what and what we can do about this as we

311
00:14:44,000 --> 00:14:46,040
Speaker 1: move forward. Just to also show you, I know that

312
00:14:46,080 --> 00:14:49,200
Speaker 1: there were some questions around the mugshot of this person.

313
00:14:49,240 --> 00:14:50,680
Speaker 1: Let's go and put this up there on the screen,

314
00:14:51,120 --> 00:14:52,640
Speaker 1: because this is this is what a lot of the

315
00:14:52,760 --> 00:14:57,440
Speaker 1: initial confusion was around. So the two mugshots that you

316
00:14:57,440 --> 00:15:00,880
Speaker 1: can see there on the right were the smugshots that

317
00:15:00,880 --> 00:15:04,240
Speaker 1: were distributed on social media that appeared to.

318
00:15:04,320 --> 00:15:07,000
Speaker 2: Match the name of the gunman.

319
00:15:07,440 --> 00:15:11,320
Speaker 1: Now, those were never released by law enforcement, and so

320
00:15:11,560 --> 00:15:15,240
Speaker 1: people were like, hey, the tattoos or whatever that were

321
00:15:15,280 --> 00:15:18,800
Speaker 1: on this alleged gunman's social media profile don't match the

322
00:15:18,920 --> 00:15:22,320
Speaker 1: mug shots that had been released or not released, that

323
00:15:22,360 --> 00:15:26,680
Speaker 1: were initially distributed online. Now, this is also, i think

324
00:15:26,760 --> 00:15:29,640
Speaker 1: is also a very long winded way of pointing out,

325
00:15:29,880 --> 00:15:32,600
Speaker 1: don't believe everything you see on the internet. That's why

326
00:15:32,960 --> 00:15:34,600
Speaker 1: it took you know, like we do this for a

327
00:15:34,600 --> 00:15:38,600
Speaker 1: living at Lane, We're sitting there spending again literally hours

328
00:15:38,680 --> 00:15:42,280
Speaker 1: being like, Okay, what's actually been released by the police. This,

329
00:15:42,280 --> 00:15:46,000
Speaker 1: this is the name the Ties and right Wing Desquad.

330
00:15:46,080 --> 00:15:46,920
Speaker 2: Okay, that's what we know.

331
00:15:47,200 --> 00:15:49,960
Speaker 1: Now what was released from social media by a Belling Cat,

332
00:15:49,960 --> 00:15:53,080
Speaker 1: which you know is definitely a suspect organization.

333
00:15:53,360 --> 00:15:55,200
Speaker 2: Okay, Now just because released.

334
00:15:54,920 --> 00:15:56,320
Speaker 1: By them doesn't mean I'm going to dismiss it just

335
00:15:56,320 --> 00:15:57,880
Speaker 1: means I'm going to scrutinize. It's like, okay, so I

336
00:15:57,920 --> 00:15:59,800
Speaker 1: got this, and then I'm trying to match this up,

337
00:16:00,000 --> 00:16:02,120
Speaker 1: and then where's the confusion coming from. I get where

338
00:16:02,120 --> 00:16:05,360
Speaker 1: the confusion is coming from. Put that all together. To me,

339
00:16:05,680 --> 00:16:08,120
Speaker 1: it appears to be the social media, the legitimate social

340
00:16:08,160 --> 00:16:12,200
Speaker 1: media profile of the shooter. All of that said, all

341
00:16:12,240 --> 00:16:14,400
Speaker 1: the questions as to whether he was some plant, people

342
00:16:14,400 --> 00:16:16,280
Speaker 1: were like, oh, it's tattoos are fresh and all that.

343
00:16:16,640 --> 00:16:16,960
Speaker 2: Listen.

344
00:16:17,040 --> 00:16:20,080
Speaker 1: I mean, I think sometimes we try to apply a

345
00:16:20,160 --> 00:16:22,600
Speaker 1: rational mindset to a psychotic killer.

346
00:16:22,880 --> 00:16:24,760
Speaker 2: These people are freaks, like you.

347
00:16:24,800 --> 00:16:29,960
Speaker 1: Know, mentally sane person murders eight innocent people in cold

348
00:16:30,040 --> 00:16:33,440
Speaker 1: blood for no reason and then blogs and posts about it.

349
00:16:33,480 --> 00:16:34,880
Speaker 3: And it's not going to make sense to you if

350
00:16:34,880 --> 00:16:35,160
Speaker 3: they do.

351
00:16:35,280 --> 00:16:38,280
Speaker 2: Ok, yeah, it will never make any sense.

352
00:16:38,280 --> 00:16:40,560
Speaker 1: And actually the most disturbing part when you watch it,

353
00:16:41,040 --> 00:16:43,880
Speaker 1: if anybody who's ever like watched videos of like truly

354
00:16:43,960 --> 00:16:47,360
Speaker 1: mentally ill people or schizophrenics that they create, it's just

355
00:16:47,400 --> 00:16:50,680
Speaker 1: like you. The reason why it's so foreign to us

356
00:16:50,680 --> 00:16:54,120
Speaker 1: is because it's another planet. It's another world. That's kind

357
00:16:54,160 --> 00:16:56,200
Speaker 1: of how I felt consuming this man's content.

358
00:16:56,320 --> 00:16:58,000
Speaker 4: Well, and I mean, it strikes me as we're talking

359
00:16:58,000 --> 00:17:00,480
Speaker 4: about it that this is not this is a story,

360
00:17:00,520 --> 00:17:02,600
Speaker 4: because it's also a story about how we get the

361
00:17:02,640 --> 00:17:05,040
Speaker 4: news now and that you have all of these people.

362
00:17:05,240 --> 00:17:07,080
Speaker 4: Like listen, one of the best documentaries in the last

363
00:17:07,080 --> 00:17:08,480
Speaker 4: ten years is Don't f with Cats.

364
00:17:08,880 --> 00:17:09,520
Speaker 3: It's so good.

365
00:17:09,560 --> 00:17:11,679
Speaker 4: Okay, but you have a situation like that playing out

366
00:17:11,720 --> 00:17:14,840
Speaker 4: on a micro level every single day, and every time

367
00:17:14,880 --> 00:17:18,000
Speaker 4: there's a horrible tragedy like this. I mean, imagine, in

368
00:17:18,040 --> 00:17:19,480
Speaker 4: all honesty if nine to eleven.

369
00:17:19,160 --> 00:17:22,200
Speaker 3: Had happened with Twitter. Yeah, I just like imagine.

370
00:17:22,240 --> 00:17:25,919
Speaker 4: And so the alternative where you have total monopolized corporate

371
00:17:25,960 --> 00:17:28,960
Speaker 4: media not great. But what we have right now is

372
00:17:29,000 --> 00:17:32,240
Speaker 4: not great either, and it makes it really hard for

373
00:17:32,320 --> 00:17:35,200
Speaker 4: us to litigate the truth in these circumstances without also

374
00:17:35,240 --> 00:17:39,520
Speaker 4: getting bogged down in divisive, painful, and untrue politics at

375
00:17:39,520 --> 00:17:40,080
Speaker 4: certain times.

376
00:17:40,240 --> 00:17:41,879
Speaker 1: Yes, okay, so let's go to the next part here,

377
00:17:41,920 --> 00:17:43,600
Speaker 1: which is a more of a meta conversation.

378
00:17:44,320 --> 00:17:47,480
Speaker 2: Can can Hispanics be white nationalists?

379
00:17:47,520 --> 00:17:49,960
Speaker 1: Let's go to put this up there on the screen,

380
00:17:50,280 --> 00:17:53,800
Speaker 1: The Rise of White Nationalists Hispanic Systems, written by Axios.

381
00:17:53,840 --> 00:17:56,760
Speaker 1: This was kind of being passed around in a what's

382
00:17:56,520 --> 00:18:00,359
Speaker 1: it like in a way where people were joking about

383
00:18:00,359 --> 00:18:04,040
Speaker 1: the headline. I will admit that it does like sound

384
00:18:04,119 --> 00:18:06,560
Speaker 1: ridiculous when you say it, and.

385
00:18:06,480 --> 00:18:08,200
Speaker 2: Yet at the same time, we have to try and

386
00:18:08,200 --> 00:18:08,600
Speaker 2: break it up.

387
00:18:08,640 --> 00:18:10,280
Speaker 1: And this is actually why I think so many of

388
00:18:10,320 --> 00:18:13,159
Speaker 1: our labels around all of this doesn't make any sense

389
00:18:13,560 --> 00:18:16,440
Speaker 1: at all, Like can you be a white nationalist Hispanic?

390
00:18:16,440 --> 00:18:18,879
Speaker 1: It's like, well, one of the interesting things is because

391
00:18:18,920 --> 00:18:21,840
Speaker 1: I am from Texas and I actually know third, fourth,

392
00:18:21,880 --> 00:18:25,800
Speaker 1: and fifth generation Hispanics, is that the term white Hispanic

393
00:18:26,160 --> 00:18:30,600
Speaker 1: does exist. And then you have people who have or

394
00:18:30,640 --> 00:18:35,159
Speaker 1: are of Mexican descent but whose families have lived in

395
00:18:35,200 --> 00:18:39,919
Speaker 1: Texas since before Texans came, but through intermarriage and all

396
00:18:40,000 --> 00:18:41,760
Speaker 1: that ethnically identify as white.

397
00:18:42,160 --> 00:18:43,199
Speaker 2: And so what do you do with that?

398
00:18:43,280 --> 00:18:45,040
Speaker 1: I mean, you know, I think in terms of our

399
00:18:45,560 --> 00:18:47,320
Speaker 1: like box checks and all that. And this is also

400
00:18:47,320 --> 00:18:50,280
Speaker 1: why I think all of our racial obsessiveness is ridiculous.

401
00:18:50,520 --> 00:18:55,240
Speaker 1: I am effectively just coming around to instead of can

402
00:18:55,320 --> 00:18:59,159
Speaker 1: Hispanics be white nationalists? Can Hispanics or anyone else be

403
00:18:59,280 --> 00:19:01,680
Speaker 1: far right? And I just think that that's a much

404
00:19:01,720 --> 00:19:05,119
Speaker 1: easier and cleaner way of discussing it, Like like, what's

405
00:19:05,359 --> 00:19:07,960
Speaker 1: to me the idea? You know, here's the other thing

406
00:19:08,160 --> 00:19:10,560
Speaker 1: when you put it that way. Can Hispanics be fascist?

407
00:19:10,640 --> 00:19:12,840
Speaker 1: I mean, have you ever read the history of fascism?

408
00:19:13,160 --> 00:19:16,359
Speaker 1: You know, where did all the Nazis go people? You know,

409
00:19:16,359 --> 00:19:18,560
Speaker 1: it's not that hard to fail. Where were the last

410
00:19:18,640 --> 00:19:22,280
Speaker 1: vestiges of like far right dictatorships you know throughout the world.

411
00:19:22,359 --> 00:19:25,040
Speaker 1: It doesn't take a genius whenever you put it that way.

412
00:19:25,400 --> 00:19:27,280
Speaker 1: And also, you know, there's all these questions about like

413
00:19:27,320 --> 00:19:30,680
Speaker 1: why you would even be inspired by the SS or

414
00:19:30,760 --> 00:19:33,440
Speaker 1: the Nazi regime. Like once again, you know, many of these,

415
00:19:34,359 --> 00:19:39,639
Speaker 1: you know, Latin American military dictatorships took direct inspiration actually

416
00:19:39,640 --> 00:19:43,000
Speaker 1: from the Night. In some cases actually worked with the Nazis.

417
00:19:43,000 --> 00:19:43,840
Speaker 2: Many of them.

418
00:19:44,080 --> 00:19:47,520
Speaker 1: Even borrowed some of their ideology. Even many people don't

419
00:19:47,560 --> 00:19:50,800
Speaker 1: know this. Even the Nazis themselves, like the SAS for example,

420
00:19:51,480 --> 00:19:54,160
Speaker 1: had divisions and people who are within it who were

421
00:19:54,200 --> 00:19:56,680
Speaker 1: not German and who were not even Aryan. You had

422
00:19:56,760 --> 00:20:00,359
Speaker 1: like Serbia like Slavs who were members of the why

423
00:20:00,400 --> 00:20:02,800
Speaker 1: because they bought into some you know, whatever the crazy

424
00:20:03,040 --> 00:20:05,400
Speaker 1: ideology was, and it was actually kind of a controversy

425
00:20:05,520 --> 00:20:07,720
Speaker 1: within the SS at the time. My point being is

426
00:20:07,760 --> 00:20:12,560
Speaker 1: like people who are crazy, murderous, you know, uh, crazy

427
00:20:12,800 --> 00:20:17,560
Speaker 1: murderous fascists are not always the most ideologically consistent, and

428
00:20:17,600 --> 00:20:21,520
Speaker 1: so to me, I think it is easier to discuss

429
00:20:21,520 --> 00:20:25,880
Speaker 1: and look at it as can Hispanics, can Blacks, can Indians?

430
00:20:25,880 --> 00:20:30,000
Speaker 1: Can anyone be quote unquote far right can be inspired

431
00:20:30,040 --> 00:20:34,520
Speaker 1: by fascist, non democratic politics be racially discriminatory.

432
00:20:34,800 --> 00:20:37,080
Speaker 2: Yes, I think that's actually a very easy answer.

433
00:20:37,160 --> 00:20:39,199
Speaker 4: Well, and I mean it depends on their definition of

434
00:20:39,240 --> 00:20:41,600
Speaker 4: white nationalism, which is used all of the time in

435
00:20:41,640 --> 00:20:44,159
Speaker 4: the super inflated sense. And now, of course in this

436
00:20:44,240 --> 00:20:46,040
Speaker 4: case it looks like it hasn't been applied in an

437
00:20:46,080 --> 00:20:48,359
Speaker 4: inflated sense. It looks like there's a legitimate case that

438
00:20:48,720 --> 00:20:51,600
Speaker 4: this is somebody who believed he had an ideological formulation

439
00:20:51,680 --> 00:20:54,800
Speaker 4: that allowed for Hispanics, as he says, in his own means,

440
00:20:55,680 --> 00:20:58,840
Speaker 4: it's his own meme, to be white nationalists. So if

441
00:20:58,840 --> 00:21:01,480
Speaker 4: he thinks he can come to that rational ideological formulation

442
00:21:01,560 --> 00:21:04,120
Speaker 4: by all means to your point, though, by all means

443
00:21:04,119 --> 00:21:07,040
Speaker 4: like that, that sounds like white nationalism to me. But

444
00:21:07,160 --> 00:21:10,399
Speaker 4: to your point, it is what acxios seem to be

445
00:21:10,440 --> 00:21:12,520
Speaker 4: doing with that article, and what you see on these

446
00:21:12,560 --> 00:21:15,679
Speaker 4: front pages is this attempt to make it sound like

447
00:21:15,720 --> 00:21:18,919
Speaker 4: something is extremely widespread when it is in fact a

448
00:21:19,080 --> 00:21:21,160
Speaker 4: very small small percentage.

449
00:21:20,720 --> 00:21:21,400
Speaker 3: Of the population.

450
00:21:21,480 --> 00:21:24,399
Speaker 4: It doesn't mean that that can't be a dangerous, mobilized,

451
00:21:24,480 --> 00:21:27,640
Speaker 4: animated percentage of the population. But we know right now

452
00:21:27,720 --> 00:21:31,360
Speaker 4: that the establishment is inflating these definitions in order, very

453
00:21:31,400 --> 00:21:36,359
Speaker 4: specifically to justify surveillance of people who have descending viewpoints.

454
00:21:36,359 --> 00:21:39,119
Speaker 4: And so I think it's an interesting conversation, right, And

455
00:21:39,119 --> 00:21:40,480
Speaker 4: we could sit here and talk about, you know, what

456
00:21:40,640 --> 00:21:45,280
Speaker 4: constitutes Hispanic white nationalism all day, But when I see

457
00:21:45,280 --> 00:21:47,960
Speaker 4: it coming from the press like this again, we can't

458
00:21:47,960 --> 00:21:50,000
Speaker 4: have an honest conversation about it because what they're trying

459
00:21:50,040 --> 00:21:51,879
Speaker 4: to do is just say, well, we actually need to

460
00:21:51,880 --> 00:21:54,320
Speaker 4: surveil all of you because look, he's going to go

461
00:21:54,320 --> 00:21:55,440
Speaker 4: to Russian social media.

462
00:21:55,680 --> 00:21:58,520
Speaker 1: Yes, this is also why it is difficult. This is

463
00:21:58,560 --> 00:22:01,800
Speaker 1: also why I hate racial terminology in the United States.

464
00:22:02,080 --> 00:22:06,480
Speaker 1: For example, with Hispanic the typical definition, I think, according

465
00:22:06,480 --> 00:22:10,159
Speaker 1: to the US Census is somebody who is a person

466
00:22:10,200 --> 00:22:13,679
Speaker 1: of Cuban, Mexican, Puerto Rican, South or Central American or

467
00:22:13,720 --> 00:22:17,640
Speaker 1: other Spanish descent. Now as Hispanics and people who are

468
00:22:17,720 --> 00:22:21,040
Speaker 1: of quote Hispanic or Latino origin like to like to

469
00:22:21,200 --> 00:22:25,119
Speaker 1: look at for example, if you are from Spain, yeah,

470
00:22:25,200 --> 00:22:28,720
Speaker 1: I mean the odds are you are white and a

471
00:22:28,800 --> 00:22:31,440
Speaker 1: mix of like Moore, Now.

472
00:22:31,240 --> 00:22:32,160
Speaker 2: Are you Hispanic?

473
00:22:32,760 --> 00:22:35,280
Speaker 1: I guess you know, under our definition, are you a

474
00:22:35,320 --> 00:22:38,200
Speaker 1: Spanish American? Like, once again, this is where it starts

475
00:22:38,240 --> 00:22:40,480
Speaker 1: to break apart, and then through our race kind of

476
00:22:40,520 --> 00:22:44,440
Speaker 1: obsessed media, they'll say, like that person is somehow something

477
00:22:44,440 --> 00:22:47,800
Speaker 1: in common with someone who is from Puerto Rico. It's like, well, yeah,

478
00:22:47,840 --> 00:22:51,040
Speaker 1: maybe five hundred years ago, not today, or same thing

479
00:22:51,119 --> 00:22:54,600
Speaker 1: with Puerto Rico versus somebody from Columbia who barely has

480
00:22:54,680 --> 00:22:57,240
Speaker 1: just as much in common with somebody who is from Honduras.

481
00:22:57,320 --> 00:22:59,439
Speaker 1: Like just because you speak on the same language doesn't

482
00:22:59,440 --> 00:23:01,200
Speaker 1: mean actually that anything is going on.

483
00:23:01,440 --> 00:23:02,920
Speaker 2: Have you ever been to Central America?

484
00:23:03,000 --> 00:23:05,440
Speaker 1: I mean, even within Central America you have a tremendous

485
00:23:05,440 --> 00:23:09,000
Speaker 1: amount of ethnic diversity and the cultural practices.

486
00:23:08,640 --> 00:23:09,840
Speaker 2: They're not all the same.

487
00:23:09,880 --> 00:23:12,440
Speaker 1: And I think that's why whenever I think and and consider,

488
00:23:12,720 --> 00:23:14,760
Speaker 1: you know, all of this, it just is easier to

489
00:23:14,800 --> 00:23:17,359
Speaker 1: actually take that element out of it and say, can

490
00:23:17,560 --> 00:23:21,520
Speaker 1: anyone who is on the internet be inspired by far

491
00:23:21,720 --> 00:23:23,919
Speaker 1: right ideology far left ideology?

492
00:23:24,040 --> 00:23:26,320
Speaker 2: Yes? Actually it seems it's quite clear.

493
00:23:26,720 --> 00:23:28,879
Speaker 1: And so anyway, I think this is more of a

494
00:23:28,920 --> 00:23:32,840
Speaker 1: meta conversation around how we can all discuss this without

495
00:23:32,960 --> 00:23:35,199
Speaker 1: seeming like we want to blow our brains out. And

496
00:23:35,320 --> 00:23:39,200
Speaker 1: it is a nuance and interesting question around ethnicity, around race,

497
00:23:39,440 --> 00:23:46,840
Speaker 1: around identification, and around what multi racial, heterogeneous societies look like.

498
00:23:46,920 --> 00:23:49,400
Speaker 1: I mean, one hundred and fifty years ago, if we

499
00:23:49,400 --> 00:23:52,640
Speaker 1: were here in Washington, DC and we said that Irish

500
00:23:52,640 --> 00:23:56,439
Speaker 1: people were white, you know, white Presbyterians would be like,

501
00:23:56,480 --> 00:23:57,000
Speaker 1: what do you talk?

502
00:23:57,080 --> 00:23:59,639
Speaker 2: Are you're crazy? No they're not, you know, they're different.

503
00:23:59,720 --> 00:24:01,880
Speaker 1: Or and if you know, not even that long ago,

504
00:24:01,960 --> 00:24:05,960
Speaker 1: if you said that, for example, Italians were white again,

505
00:24:06,040 --> 00:24:07,080
Speaker 1: the Irish people be like.

506
00:24:07,000 --> 00:24:07,320
Speaker 2: No, we're not.

507
00:24:07,400 --> 00:24:09,440
Speaker 1: We had nothing in common with them one hundred years ago.

508
00:24:09,440 --> 00:24:11,960
Speaker 1: This all sounds ridiculous. So that's my point is that

509
00:24:12,000 --> 00:24:16,000
Speaker 1: these things can evolve, and in reality, like it's more

510
00:24:16,080 --> 00:24:18,439
Speaker 1: on us to try and make sense of this. And

511
00:24:18,560 --> 00:24:20,439
Speaker 1: the last thing I guess I want to say is

512
00:24:20,600 --> 00:24:24,440
Speaker 1: sometimes the semantics of the conversation themselves are so ridiculous

513
00:24:24,440 --> 00:24:27,840
Speaker 1: because we haven't even spent enough time media and even

514
00:24:27,840 --> 00:24:31,240
Speaker 1: here now just honestly honoring some of the victims. You know,

515
00:24:31,320 --> 00:24:34,600
Speaker 1: some of these people were I mean, Korean American famili

516
00:24:34,640 --> 00:24:37,560
Speaker 1: has been massacred. You got an orphan child, you got

517
00:24:37,560 --> 00:24:40,400
Speaker 1: three year olds who were killed you have not only immigrants,

518
00:24:40,440 --> 00:24:42,200
Speaker 1: but people who were born and raised here.

519
00:24:42,160 --> 00:24:45,480
Speaker 2: Were murdered and cold blood their lives taken and ruined.

520
00:24:45,680 --> 00:24:49,000
Speaker 1: And you know, one of the alleged things that was

521
00:24:49,040 --> 00:24:53,280
Speaker 1: said by the shooter was media always celebrates the people

522
00:24:53,280 --> 00:24:56,119
Speaker 1: who is a shooter. They can't help themselves. The people

523
00:24:56,119 --> 00:24:58,840
Speaker 1: who get killed never get as much attention. He literally

524
00:24:58,840 --> 00:25:01,480
Speaker 1: said that in one of his alleged to social media musing.

525
00:25:01,560 --> 00:25:04,159
Speaker 1: So you know, and sometimes, you know, it comes to

526
00:25:04,200 --> 00:25:06,320
Speaker 1: the question of like should we even be talking about

527
00:25:06,320 --> 00:25:09,000
Speaker 1: this person, But because it has become such like a

528
00:25:09,040 --> 00:25:12,520
Speaker 1: meticultural talking point, I almost feel like we have no choice.

529
00:25:12,560 --> 00:25:15,199
Speaker 1: But it's always difficult every single time one of these happens,

530
00:25:15,400 --> 00:25:20,440
Speaker 1: and it is a horrific tragedy. At the same time,

531
00:25:20,480 --> 00:25:23,520
Speaker 1: Emily A Secretary Pete budhaj Edge woke up, like I said,

532
00:25:23,560 --> 00:25:25,520
Speaker 1: from a three year coma. He said, you know what,

533
00:25:25,720 --> 00:25:28,240
Speaker 1: erl of travel has been so awful basically since the

534
00:25:28,280 --> 00:25:31,400
Speaker 1: beginning of my administration and of my tenure. So I've

535
00:25:31,440 --> 00:25:34,840
Speaker 1: decided to finally do something about it now that things

536
00:25:35,240 --> 00:25:39,439
Speaker 1: actually have been more normalized and didn't do a goddamn

537
00:25:39,480 --> 00:25:43,040
Speaker 1: thing during the entire worst part of the crisis. I

538
00:25:43,040 --> 00:25:47,280
Speaker 1: guess better late than ever. President Biden apparently woke up

539
00:25:47,359 --> 00:25:49,400
Speaker 1: to it. This is always my issue too with people

540
00:25:49,440 --> 00:25:52,040
Speaker 1: like Buddhajedge and Biden. You people don't even fly commercial ya,

541
00:25:52,080 --> 00:25:54,119
Speaker 1: that's an aligned private That's why you have no idea

542
00:25:54,160 --> 00:25:56,720
Speaker 1: how bad it is out there. And it's not just

543
00:25:56,760 --> 00:26:00,000
Speaker 1: for business travelers or people like me who fly a lot.

544
00:26:00,200 --> 00:26:04,000
Speaker 1: It's like the families who were screwed on South Wet.

545
00:26:04,000 --> 00:26:06,200
Speaker 1: Those are the people I feel for the most. People

546
00:26:06,200 --> 00:26:09,040
Speaker 1: who plan vacations or honeymoons and they saved up all

547
00:26:09,160 --> 00:26:11,520
Speaker 1: this money through COVID and you know you lose one

548
00:26:11,600 --> 00:26:14,600
Speaker 1: day out of seven, that's your hard earned vacation time. Man,

549
00:26:14,720 --> 00:26:18,560
Speaker 1: it's not a joke. I've watched people melt down in airport.

550
00:26:18,560 --> 00:26:20,800
Speaker 1: I feel terrible for them, brides going on their honeymoons

551
00:26:21,000 --> 00:26:24,320
Speaker 1: and things like that. Anyway, so here's Secretary of Boodhae Edge

552
00:26:24,520 --> 00:26:26,920
Speaker 1: and President Biden talking a little bit about how they're

553
00:26:26,920 --> 00:26:27,560
Speaker 1: going to fix it.

554
00:26:27,800 --> 00:26:28,480
Speaker 2: Let's take a listen.

555
00:26:29,040 --> 00:26:31,520
Speaker 7: The FAA and Department of Transportation are doing our part,

556
00:26:31,600 --> 00:26:35,160
Speaker 7: but airlines need to accept their fundamental responsibility to better

557
00:26:35,200 --> 00:26:38,280
Speaker 7: serve passengers. When they don't, we are here to enforce

558
00:26:38,320 --> 00:26:42,240
Speaker 7: passenger rights and hold airlines accountable. In just over two years,

559
00:26:42,240 --> 00:26:44,680
Speaker 7: this administration has delivered some of the most significant gains

560
00:26:44,720 --> 00:26:48,280
Speaker 7: in airline passenger protections in decades. We have stepped up enforcements,

561
00:26:48,600 --> 00:26:52,840
Speaker 7: rules and transparency. We've empowered passengers with better information. We've

562
00:26:52,840 --> 00:26:55,520
Speaker 7: helped get a billion dollars in refunds and counting back

563
00:26:55,560 --> 00:26:58,600
Speaker 7: to passengers. And we have secured enforceable commitments around customer

564
00:26:58,640 --> 00:27:00,720
Speaker 7: service that didn't exist just a year ago.

565
00:27:00,760 --> 00:27:03,600
Speaker 8: There's more. Last fall, the Department of Transportation proposed to

566
00:27:03,680 --> 00:27:07,840
Speaker 8: rule that will be finalized this year. If finalized as proposed,

567
00:27:08,080 --> 00:27:10,439
Speaker 8: it would require airlines to show you the full ticket

568
00:27:10,440 --> 00:27:14,040
Speaker 8: price up front before you purchase it, including fees for baggage,

569
00:27:14,160 --> 00:27:17,159
Speaker 8: for internet, for changing your seat. And I'm proud to

570
00:27:17,160 --> 00:27:20,080
Speaker 8: announce two critical steps that my administration is taking to

571
00:27:20,119 --> 00:27:24,360
Speaker 8: protect American air passengers. First, we just launched a new website,

572
00:27:24,680 --> 00:27:29,320
Speaker 8: flights right dot gov. Flights right dot gov. It features

573
00:27:29,320 --> 00:27:32,639
Speaker 8: a dashboard we created last fall to give travelers more

574
00:27:32,640 --> 00:27:36,919
Speaker 8: transparency in the airlines compensation policies. So if it's the

575
00:27:36,920 --> 00:27:40,239
Speaker 8: airline's fault and your flight was canceled delayed, you can

576
00:27:40,320 --> 00:27:42,320
Speaker 8: check the dashboard to see how the airlines should be

577
00:27:42,320 --> 00:27:43,040
Speaker 8: compensating you.

578
00:27:43,400 --> 00:27:46,040
Speaker 2: He has the name behind him just so people don't

579
00:27:46,119 --> 00:27:48,120
Speaker 2: know who don't. We're just listening.

580
00:27:48,240 --> 00:27:52,040
Speaker 1: It's actually flight Rights dot gov, not flights right dot gov.

581
00:27:52,200 --> 00:27:54,240
Speaker 3: You'll be shocked to dot gov.

582
00:27:54,119 --> 00:27:57,120
Speaker 2: Dot Actually it doesn't make any sense anyway. So what

583
00:27:57,160 --> 00:27:57,840
Speaker 2: are these.

584
00:27:57,680 --> 00:28:00,800
Speaker 1: Proposed rules again? They're not even the new regulations going

585
00:28:00,800 --> 00:28:02,840
Speaker 1: into effect. They're just proposals. Let's go and put them

586
00:28:02,880 --> 00:28:05,840
Speaker 1: up there on the screen. That will require airlines to

587
00:28:05,920 --> 00:28:09,040
Speaker 1: compensate air travelers and cover their meals in hotel rooms

588
00:28:09,040 --> 00:28:12,320
Speaker 1: if they are stranded for reasons within the airline control

589
00:28:12,400 --> 00:28:14,520
Speaker 1: and would be in addition to the ticket refunds when

590
00:28:14,520 --> 00:28:16,760
Speaker 1: the airline is hit fault for the flight that's being

591
00:28:16,800 --> 00:28:20,520
Speaker 1: canceled or delayed. Basically, these are the exact same protections

592
00:28:20,520 --> 00:28:23,960
Speaker 1: that exist within the European Union. The problem is is

593
00:28:24,000 --> 00:28:28,720
Speaker 1: that they a are writing the new rules, don't have

594
00:28:28,960 --> 00:28:32,720
Speaker 1: a precise date for when they expect to finish quote,

595
00:28:32,920 --> 00:28:34,040
Speaker 1: but indicate they.

596
00:28:33,880 --> 00:28:36,359
Speaker 3: Are working to quickly publish.

597
00:28:35,880 --> 00:28:39,680
Speaker 1: A notice that is required to get the process started.

598
00:28:39,880 --> 00:28:42,400
Speaker 1: So not only did they wait two and a half

599
00:28:42,600 --> 00:28:48,080
Speaker 1: years into their administration, Emily they didn't even finish the

600
00:28:48,200 --> 00:28:52,280
Speaker 1: job of the proposal whenever they did the press conference,

601
00:28:52,720 --> 00:28:55,040
Speaker 1: and they have no update.

602
00:28:54,640 --> 00:28:56,520
Speaker 2: As to when they will be done.

603
00:28:56,840 --> 00:29:01,600
Speaker 1: Listen, you know I have with buddhaj Edge, his level

604
00:29:01,640 --> 00:29:05,840
Speaker 1: of incompetence, his lack of seriousness. It is so angering

605
00:29:05,880 --> 00:29:08,440
Speaker 1: to me just because he was the chosen one.

606
00:29:08,360 --> 00:29:09,120
Speaker 3: Yeah, it's like starting.

607
00:29:09,120 --> 00:29:13,880
Speaker 1: It's like were you are supposed to be, mister McKenzie.

608
00:29:13,840 --> 00:29:15,640
Speaker 2: Mister I get things done.

609
00:29:16,040 --> 00:29:18,400
Speaker 1: Yeah, it was only a small town mayor, but I

610
00:29:18,440 --> 00:29:21,880
Speaker 1: have much more potential. He thought that the Office of

611
00:29:21,920 --> 00:29:24,000
Speaker 1: Management and Budget was beneath him. He said, I want

612
00:29:24,000 --> 00:29:25,640
Speaker 1: to be a secretary. I want to be a member

613
00:29:25,800 --> 00:29:28,320
Speaker 1: of the cabinety. Give me transportation. And the reason why

614
00:29:28,400 --> 00:29:30,280
Speaker 1: it's clear is he didn't actually want to do anything.

615
00:29:30,320 --> 00:29:33,240
Speaker 1: He just wanted to fly around and cut ribbons and

616
00:29:33,480 --> 00:29:35,320
Speaker 1: do nothing. And it turns out this is the first

617
00:29:35,320 --> 00:29:38,000
Speaker 1: time in probably fifty years of the Transportation Secretary is

618
00:29:38,040 --> 00:29:40,400
Speaker 1: one of the most important people in our government, not

619
00:29:40,440 --> 00:29:43,080
Speaker 1: only because of the infrastructure Bill, but also because of

620
00:29:43,160 --> 00:29:46,240
Speaker 1: the very basics like this two and a half years

621
00:29:46,440 --> 00:29:49,080
Speaker 1: and they're still not even doing what they said that

622
00:29:49,120 --> 00:29:51,880
Speaker 1: they're going to do. This is all literally just like

623
00:29:51,960 --> 00:29:54,800
Speaker 1: some checkbox for a press conference and they're out of

624
00:29:54,840 --> 00:29:59,920
Speaker 1: steplesness on this is just it's humiliating from a basic

625
00:30:00,280 --> 00:30:03,600
Speaker 1: governance perspective. This is actually some stuff that the Trump

626
00:30:03,600 --> 00:30:05,760
Speaker 1: administration would do. This actually reminds me of how the

627
00:30:05,760 --> 00:30:07,760
Speaker 1: Trumpet straight used to govern well.

628
00:30:07,760 --> 00:30:10,200
Speaker 4: But that's what I think is even doubly infuriating about it,

629
00:30:10,240 --> 00:30:12,840
Speaker 4: is that you have Pete Boodha Judge play acting mister

630
00:30:12,920 --> 00:30:15,440
Speaker 4: secretary on the camera. When I went back and looked

631
00:30:15,440 --> 00:30:18,240
Speaker 4: at what was what he said around the Southwest Tobackle

632
00:30:19,000 --> 00:30:21,560
Speaker 4: ro Conna was out there tweeting at the time, Bernie

633
00:30:21,600 --> 00:30:24,040
Speaker 4: and I had a six months ago, told you guys

634
00:30:24,080 --> 00:30:26,680
Speaker 4: to ratchet up fines and penalties on these airlines.

635
00:30:26,720 --> 00:30:28,080
Speaker 3: And so why is that important?

636
00:30:28,280 --> 00:30:30,280
Speaker 4: Because right now when he's saying that they don't have

637
00:30:30,320 --> 00:30:33,080
Speaker 4: a finalized plan or date for the rest of this, well,

638
00:30:33,400 --> 00:30:35,880
Speaker 4: that six month gap, how many people got crunched in it?

639
00:30:36,200 --> 00:30:38,200
Speaker 4: Now whatever, how many months this is going to be,

640
00:30:38,280 --> 00:30:40,480
Speaker 4: how many people are going to get crunched in it again.

641
00:30:40,520 --> 00:30:43,120
Speaker 4: They don't want to actually do anything. They want to

642
00:30:43,120 --> 00:30:45,719
Speaker 4: play act and have tough press conferences so that they

643
00:30:45,720 --> 00:30:48,440
Speaker 4: can come out and say this administration has been very

644
00:30:48,480 --> 00:30:49,440
Speaker 4: tough on the airline.

645
00:30:49,480 --> 00:30:50,360
Speaker 2: Yes, no, you haven't.

646
00:30:50,480 --> 00:30:54,120
Speaker 1: Yeah, and that's like listen, I have flown several times

647
00:30:54,440 --> 00:30:58,040
Speaker 1: since the Southwest meltdown. I actually was in Austin days

648
00:30:58,080 --> 00:30:59,400
Speaker 1: after the Southwest meltdown.

649
00:30:59,480 --> 00:31:01,800
Speaker 3: I was caught in Southwest Mountain. Really is because of

650
00:31:01,840 --> 00:31:02,520
Speaker 3: Milwaukee DC.

651
00:31:03,680 --> 00:31:05,640
Speaker 1: I remember seeing all the bags and all these people

652
00:31:05,720 --> 00:31:07,600
Speaker 1: lined up to get their bag. And again we're in

653
00:31:07,640 --> 00:31:09,760
Speaker 1: the middle of vacation. These poor people are lined up

654
00:31:09,800 --> 00:31:13,120
Speaker 1: for hours trying to skate just to get their own luggage.

655
00:31:14,040 --> 00:31:16,280
Speaker 1: Imagine how any stand alone with the privilege of proclaiming

656
00:31:16,280 --> 00:31:19,200
Speaker 1: your own luggage after you already missed your flight. I

657
00:31:19,240 --> 00:31:21,320
Speaker 1: was in the airport Christmas at that time. It was

658
00:31:21,600 --> 00:31:24,880
Speaker 1: it was a complete nightmare personally, no people who had

659
00:31:24,920 --> 00:31:27,600
Speaker 1: to drive hours and hours and heard so many stories.

660
00:31:27,960 --> 00:31:31,280
Speaker 1: It's six months, almost six months now since that happened.

661
00:31:31,320 --> 00:31:33,840
Speaker 2: And this is the first substance that thing you're doing.

662
00:31:33,880 --> 00:31:36,400
Speaker 1: And oh and by the way, the FAA melted down

663
00:31:36,440 --> 00:31:39,000
Speaker 1: to in between. Oh and by the way, we also

664
00:31:39,040 --> 00:31:42,400
Speaker 1: had two near miss crashes on the tarmac. Actually, yeah,

665
00:31:42,440 --> 00:31:44,040
Speaker 1: I don't know what's going on. I was also in

666
00:31:44,120 --> 00:31:47,000
Speaker 1: Austin the morning that that near miss happened. So maybe

667
00:31:47,040 --> 00:31:51,400
Speaker 1: I'm maybe I'm the Jonah I guess, as they say

668
00:31:51,440 --> 00:31:53,320
Speaker 1: in Master and Commander, my favorite movie.

669
00:31:54,480 --> 00:31:55,360
Speaker 2: But put that all.

670
00:31:55,280 --> 00:31:59,120
Speaker 1: Together, and you see that the spirit that he brought

671
00:31:59,160 --> 00:32:02,480
Speaker 1: to this interview from about a year ago, it's still

672
00:32:02,520 --> 00:32:03,240
Speaker 1: exactly the same.

673
00:32:03,480 --> 00:32:06,160
Speaker 2: He still just to completely do nothing. Figure, here's what

674
00:32:06,240 --> 00:32:06,720
Speaker 2: he had to say.

675
00:32:06,760 --> 00:32:10,960
Speaker 9: Then, what about those lawmakers like Bernie Sanders Democrats in

676
00:32:11,040 --> 00:32:13,600
Speaker 9: addition to him, who make the case that that fifty

677
00:32:13,640 --> 00:32:16,160
Speaker 9: billion dollars that came with strings attached, and that the

678
00:32:16,240 --> 00:32:18,440
Speaker 9: airlines when they do cancel on folks, when they do

679
00:32:18,600 --> 00:32:21,240
Speaker 9: have folks waiting on the tarmac for X amount and

680
00:32:21,280 --> 00:32:23,000
Speaker 9: out of hours, they should be fined heavily.

681
00:32:23,320 --> 00:32:25,520
Speaker 7: Well, that's part of what we do as a department. Look,

682
00:32:25,560 --> 00:32:28,240
Speaker 7: our preferred outcome is that the passenger doesn't have this

683
00:32:28,360 --> 00:32:30,520
Speaker 7: problem in the first place. But when we find that

684
00:32:30,600 --> 00:32:34,040
Speaker 7: an airline is, for example, failing to issue prompt refunds

685
00:32:34,160 --> 00:32:37,200
Speaker 7: or in some other way not treating passengers fairly, we

686
00:32:37,280 --> 00:32:37,720
Speaker 7: will act.

687
00:32:37,760 --> 00:32:39,280
Speaker 3: As a matter of fact, a few.

688
00:32:39,200 --> 00:32:42,040
Speaker 7: Months ago, we issued the stiffest fine in the history

689
00:32:42,400 --> 00:32:45,920
Speaker 7: of our consumer protection program, and we have ongoing investigations

690
00:32:46,160 --> 00:32:49,680
Speaker 7: about other practices again, we want things to go well,

691
00:32:49,800 --> 00:32:51,360
Speaker 7: but when they don't, we will act.

692
00:32:51,600 --> 00:32:55,400
Speaker 1: When they don't, we will act. That's a complete lie.

693
00:32:56,000 --> 00:32:58,120
Speaker 1: You guys want to know when we did their segment

694
00:32:58,160 --> 00:33:02,520
Speaker 1: about that July twenty five, fifth, twenty twenty two, it

695
00:33:02,600 --> 00:33:05,200
Speaker 1: took him ten months just to get to the point

696
00:33:05,240 --> 00:33:07,240
Speaker 1: where he's doing what they were asking him to do.

697
00:33:07,720 --> 00:33:11,760
Speaker 1: At that point, how many literally hundreds of billions of

698
00:33:11,920 --> 00:33:17,880
Speaker 1: lost productivity hours costs of nightmare has been now, you know,

699
00:33:18,080 --> 00:33:21,960
Speaker 1: inflicted upon the American and global consumer Like this is

700
00:33:22,400 --> 00:33:25,000
Speaker 1: once again, I want to say, their rules are not

701
00:33:25,200 --> 00:33:29,640
Speaker 1: even going into place. It's May ninth, Summer holidays are

702
00:33:29,680 --> 00:33:32,360
Speaker 1: going right around the corner. Me personally, I've got like

703
00:33:32,480 --> 00:33:35,200
Speaker 1: eight flights I've got coming up in the next three months.

704
00:33:35,400 --> 00:33:39,160
Speaker 1: I'm currently actually calculated around a twenty percent screw up rate,

705
00:33:39,440 --> 00:33:42,440
Speaker 1: which is way higher than it used to be. It

706
00:33:42,640 --> 00:33:44,160
Speaker 1: used to be that the delay rate and all that

707
00:33:44,240 --> 00:33:45,960
Speaker 1: was around like twelve or fifteen percent, which is still

708
00:33:45,960 --> 00:33:48,200
Speaker 1: way too high in my opinion, But you know, it

709
00:33:48,320 --> 00:33:50,800
Speaker 1: was fine. Flying recently has just been a total nightmare,

710
00:33:51,000 --> 00:33:52,960
Speaker 1: and it is also causing a lot of people to

711
00:33:53,040 --> 00:33:55,680
Speaker 1: incur costs that they never would have before. I know

712
00:33:55,760 --> 00:33:58,240
Speaker 1: a lot of people who are eating two three four,

713
00:33:58,400 --> 00:34:02,360
Speaker 1: five hundred dollars in charges for paying for direct flights

714
00:34:02,440 --> 00:34:05,000
Speaker 1: simply because they have no faith that they'll be able

715
00:34:05,040 --> 00:34:07,240
Speaker 1: to get their connection. And then that's what rich people

716
00:34:07,280 --> 00:34:09,520
Speaker 1: can do. And now you know, whenever you don't okay,

717
00:34:09,600 --> 00:34:11,759
Speaker 1: now you're sleeping in a hotel for overnight. You know,

718
00:34:11,800 --> 00:34:13,960
Speaker 1: if you if you miss your flight, oh, now you're

719
00:34:13,960 --> 00:34:17,080
Speaker 1: in line with a bunch of people. So anyway, you

720
00:34:17,200 --> 00:34:19,680
Speaker 1: look at this and it's just like the lack of

721
00:34:20,280 --> 00:34:22,160
Speaker 1: the basic competence which they promised us.

722
00:34:22,239 --> 00:34:24,440
Speaker 2: Yeah, the rest is out the window.

723
00:34:24,520 --> 00:34:26,360
Speaker 4: That was what Bran Biden was building back. It was

724
00:34:26,440 --> 00:34:28,600
Speaker 4: building back better. But you know, I mean when people

725
00:34:28,600 --> 00:34:30,840
Speaker 4: are why do people fly well? Because they have funerals

726
00:34:30,880 --> 00:34:32,520
Speaker 4: to go? Do they have birthdays to go? Do they

727
00:34:32,560 --> 00:34:34,560
Speaker 4: have special occasions? They have things that they've saved up,

728
00:34:34,640 --> 00:34:36,759
Speaker 4: they're hard earned money for. And this is what our

729
00:34:36,800 --> 00:34:38,839
Speaker 4: system looks like. And I think the really sad thing

730
00:34:38,960 --> 00:34:40,440
Speaker 4: at the end of the day is that we.

731
00:34:40,480 --> 00:34:44,600
Speaker 3: Are both overregulated and underregulated. And what does that amount to.

732
00:34:44,760 --> 00:34:46,480
Speaker 3: We are just very poorly regulated.

733
00:34:46,600 --> 00:34:50,359
Speaker 1: We're poorly regulated, but the airlines are richer than ever

734
00:34:50,480 --> 00:34:50,960
Speaker 1: so don't worry.

735
00:34:51,200 --> 00:34:51,960
Speaker 2: You know, they're doing great.

736
00:34:52,000 --> 00:34:53,479
Speaker 3: They're buying they're buying back those stuff.

737
00:34:53,560 --> 00:34:55,919
Speaker 2: Yes, they are by stock back, and we are paying

738
00:34:56,000 --> 00:34:58,000
Speaker 2: them for their privilege. What a country.

739
00:34:58,200 --> 00:35:00,359
Speaker 1: It's an amazing country. Let's go to the next part here.

740
00:35:00,360 --> 00:35:02,680
Speaker 1: Actually some decent news though we very rarely get to

741
00:35:02,719 --> 00:35:03,680
Speaker 1: talk about here on the show.

742
00:35:03,840 --> 00:35:05,880
Speaker 2: Let's go and put this up there on the screen.

743
00:35:06,320 --> 00:35:10,480
Speaker 1: We had a big endorsement last night from former President

744
00:35:10,560 --> 00:35:13,440
Speaker 1: Donald Trump on Truth Social He says, quote crickod Joe

745
00:35:13,480 --> 00:35:17,200
Speaker 1: Biden has still not visited the incredible patriots of East Palaestine.

746
00:35:17,520 --> 00:35:20,080
Speaker 1: Mayor Pete couldn't get out there fast enough. But that's okay.

747
00:35:20,520 --> 00:35:24,000
Speaker 1: Our movement will be their voice. We will never forget them.

748
00:35:24,440 --> 00:35:24,640
Speaker 2: JD.

749
00:35:24,840 --> 00:35:27,200
Speaker 1: Vance has been working hard in the Senate to make

750
00:35:27,239 --> 00:35:30,160
Speaker 1: sure nothing like this ever happens again. That's why it's

751
00:35:30,200 --> 00:35:33,520
Speaker 1: so important for Congress to pass his Railway Safety Act.

752
00:35:33,920 --> 00:35:38,400
Speaker 1: JD's terrific bill has my complete and total endorsement. Now,

753
00:35:38,480 --> 00:35:40,759
Speaker 1: the reason why this is such a big deal is

754
00:35:40,840 --> 00:35:44,000
Speaker 1: that this might be one of the few bipartisan areas

755
00:35:44,640 --> 00:35:46,200
Speaker 1: in modern history where we.

756
00:35:46,280 --> 00:35:48,279
Speaker 2: Might actually be able to get something done.

757
00:35:48,560 --> 00:35:53,440
Speaker 1: Because don't forget only two months ago, President Biden endorsed

758
00:35:53,520 --> 00:35:55,600
Speaker 1: the same bill. Put this up there on the screen,

759
00:35:55,960 --> 00:35:59,239
Speaker 1: statement from President Biden on the Bipartisan Railway Safety Act

760
00:35:59,520 --> 00:36:03,600
Speaker 1: of twenty three that was almost immediately released not only

761
00:36:03,920 --> 00:36:06,600
Speaker 1: by JD. Vance, but we also had Sheriff Brown who

762
00:36:06,680 --> 00:36:08,520
Speaker 1: was on there. We had John Fetterman, we had the

763
00:36:08,560 --> 00:36:11,960
Speaker 1: Senators from Pennsylvania. We had a literal almost equal parts

764
00:36:12,239 --> 00:36:14,440
Speaker 1: Democrat and Republican bill, Emily, something.

765
00:36:14,280 --> 00:36:15,920
Speaker 2: You almost never seen.

766
00:36:15,920 --> 00:36:19,080
Speaker 1: On stuff like this, especially on stuff like this, But

767
00:36:19,280 --> 00:36:23,000
Speaker 1: now we're set up for a major titanic fight. Hopefully

768
00:36:23,000 --> 00:36:25,080
Speaker 1: we'll be able to talk to Senator Vans on our

769
00:36:25,120 --> 00:36:28,160
Speaker 1: Thursday show a little bit about this. But what we

770
00:36:28,280 --> 00:36:31,040
Speaker 1: have to get to the bottom of here is the

771
00:36:31,200 --> 00:36:37,239
Speaker 1: question of will the corporate Republicans and corporate Democrats acquiesce

772
00:36:37,719 --> 00:36:41,920
Speaker 1: to this bill after heavy lobbying by the railway industry,

773
00:36:42,280 --> 00:36:46,600
Speaker 1: because this is where it is a crazy bipartisan you know,

774
00:36:46,920 --> 00:36:50,480
Speaker 1: nature to regulate them on this on this front. But

775
00:36:50,640 --> 00:36:54,320
Speaker 1: also the caucus of people who have taken millions of

776
00:36:54,400 --> 00:36:58,080
Speaker 1: dollars in donations from the railway industry is both right

777
00:36:58,200 --> 00:37:01,120
Speaker 1: and left. We already know the Republican Chairman of the

778
00:37:01,160 --> 00:37:04,560
Speaker 1: House Transportation Committee doesn't even want this bill to go

779
00:37:04,800 --> 00:37:07,680
Speaker 1: for the power Yeah, I think is Troy Nell's yea.

780
00:37:07,760 --> 00:37:10,040
Speaker 2: And the reason why is oh shocker.

781
00:37:10,160 --> 00:37:14,160
Speaker 1: A libertarian at least whenever it comes to corporate issues,

782
00:37:14,239 --> 00:37:17,760
Speaker 1: has long been a beneficiary of donations from the industry.

783
00:37:18,000 --> 00:37:21,080
Speaker 2: They're Democrats to who have taken a lot of this money.

784
00:37:21,160 --> 00:37:25,799
Speaker 1: And the major block right now is getting the institutional

785
00:37:25,880 --> 00:37:28,359
Speaker 1: support of right and left behind this bill.

786
00:37:28,400 --> 00:37:29,160
Speaker 2: When we have the.

787
00:37:29,239 --> 00:37:32,799
Speaker 1: Crazy situation where the leading candidates in the twenty twenty

788
00:37:32,840 --> 00:37:35,640
Speaker 1: four race, the literal president of the United States and

789
00:37:35,719 --> 00:37:38,319
Speaker 1: the ex president of the United States, are endorsing said bill.

790
00:37:38,719 --> 00:37:42,360
Speaker 1: Why is this thing not passing tomorrow? There's no reason

791
00:37:42,440 --> 00:37:44,480
Speaker 1: that it shouldn't be on the floor right now. The

792
00:37:44,560 --> 00:37:47,200
Speaker 1: only reason it's not is because people like Mitch McConnell

793
00:37:47,440 --> 00:37:51,000
Speaker 1: and John Thune, corporate Republicans probably some corporate Democrats too

794
00:37:51,280 --> 00:37:53,840
Speaker 1: that are in there, are not letting this thing actually

795
00:37:53,960 --> 00:37:56,880
Speaker 1: come to the floor. And then even then corporate Republicans

796
00:37:56,920 --> 00:37:59,000
Speaker 1: who are in the House of Representatives who are holding

797
00:37:59,040 --> 00:37:59,879
Speaker 1: it up saying that they.

798
00:38:00,080 --> 00:38:02,440
Speaker 2: Wouldn't pass it. You know, why are they standing against Trump?

799
00:38:02,520 --> 00:38:04,080
Speaker 2: That should be the the question.

800
00:38:04,239 --> 00:38:06,359
Speaker 4: Actually, yeah, but we'll see media doesn't want to talk

801
00:38:06,360 --> 00:38:09,680
Speaker 4: about it in that context, obviously, but get you have

802
00:38:09,760 --> 00:38:12,200
Speaker 4: the heads of both parties, the heads of both parties

803
00:38:12,360 --> 00:38:14,720
Speaker 4: as you just mentioned, the former president, the sitting president.

804
00:38:14,960 --> 00:38:17,120
Speaker 4: But more than that, they're the heads of their respective

805
00:38:17,200 --> 00:38:18,719
Speaker 4: parties who are in favor.

806
00:38:18,480 --> 00:38:19,000
Speaker 3: Of this bill.

807
00:38:19,120 --> 00:38:22,719
Speaker 4: And I mean they're what National Review editorialized against the bill.

808
00:38:22,800 --> 00:38:26,200
Speaker 4: John Thune has come out, who's a real industry guy,

809
00:38:26,360 --> 00:38:29,160
Speaker 4: and said, oh gosh, no, we don't want to overregulate

810
00:38:29,239 --> 00:38:29,720
Speaker 4: this industry.

811
00:38:29,760 --> 00:38:31,240
Speaker 3: We were talking about this just earlier.

812
00:38:31,640 --> 00:38:34,560
Speaker 4: It's true that there are burdens, some overly burdens, some

813
00:38:34,680 --> 00:38:35,719
Speaker 4: regulations in rail.

814
00:38:36,040 --> 00:38:38,200
Speaker 3: There's true. It's also true, though, that.

815
00:38:38,280 --> 00:38:42,040
Speaker 4: There's incredibly lenient and lax regulations in rail. And this

816
00:38:42,120 --> 00:38:44,959
Speaker 4: bill is a perfectly reasonable, like stop gap measure until

817
00:38:45,000 --> 00:38:48,239
Speaker 4: we can completely go back to the drawing board, which

818
00:38:48,239 --> 00:38:50,360
Speaker 4: is essentially what has to happen at this point. Because

819
00:38:50,880 --> 00:38:54,959
Speaker 4: both of those excess regulations and lax regulations are carve

820
00:38:55,000 --> 00:38:55,960
Speaker 4: outs from the industry.

821
00:38:56,120 --> 00:38:57,239
Speaker 3: That's all you need to know at the end of

822
00:38:57,239 --> 00:38:57,520
Speaker 3: the day.

823
00:38:57,520 --> 00:39:01,239
Speaker 4: Where it's overregulated, why is that, Well, it's in many

824
00:39:01,320 --> 00:39:04,319
Speaker 4: cases because really the big guys know they can hurt

825
00:39:04,400 --> 00:39:07,759
Speaker 4: any other competitor by screwing around with regulations and where

826
00:39:07,800 --> 00:39:11,360
Speaker 4: it's underregulated, well obvious, I don't even need to explain

827
00:39:11,440 --> 00:39:14,120
Speaker 4: why they would want something to be underregulated, although you

828
00:39:14,239 --> 00:39:17,160
Speaker 4: might have to explain it to National Review because they say, well,

829
00:39:17,200 --> 00:39:19,960
Speaker 4: it's not in their market interest to be underregulated, to

830
00:39:20,080 --> 00:39:23,040
Speaker 4: which you obviously would reply, they have a freakingness.

831
00:39:22,960 --> 00:39:25,239
Speaker 1: Totally exactly, thank you for saying that, which is that

832
00:39:25,760 --> 00:39:28,120
Speaker 1: it's in their interest because they have a monopoly. And

833
00:39:28,200 --> 00:39:32,360
Speaker 1: we also remember that these have not been responsible corporate entities.

834
00:39:32,480 --> 00:39:35,360
Speaker 1: Their profits have gone up by billions of dollars in

835
00:39:35,440 --> 00:39:37,640
Speaker 1: the last decade, at the same time that they've been

836
00:39:37,719 --> 00:39:42,000
Speaker 1: fighting for fighting against paid sick leave, sick time and

837
00:39:42,120 --> 00:39:46,200
Speaker 1: vacation time for their hard working employees. That they've also

838
00:39:46,480 --> 00:39:49,960
Speaker 1: poured said profits back into the purchase of their stock,

839
00:39:50,320 --> 00:39:53,520
Speaker 1: so that the stock buybacks have made up a massive

840
00:39:53,560 --> 00:39:56,759
Speaker 1: portion of their balance sheet at the very time that

841
00:39:56,840 --> 00:40:01,080
Speaker 1: they should have been investing in infrastructure and in technology,

842
00:40:01,360 --> 00:40:04,799
Speaker 1: which would have prevented possibly the train d rail mint

843
00:40:04,880 --> 00:40:07,080
Speaker 1: in East Palacing. But at the very least, look at

844
00:40:07,120 --> 00:40:10,080
Speaker 1: other countries, Look at Jered, look at even China.

845
00:40:10,320 --> 00:40:12,000
Speaker 2: You know the amount of money that they.

846
00:40:12,080 --> 00:40:15,799
Speaker 1: Pour into their railway infrastructure. I'm not saying we only

847
00:40:15,800 --> 00:40:18,239
Speaker 1: need passenger high speed rail. I'm just saying, like, if

848
00:40:18,280 --> 00:40:20,560
Speaker 1: we're going to have rail through which we move at

849
00:40:20,719 --> 00:40:24,040
Speaker 1: dangerous chemicals, maybe we should make sure that they don't

850
00:40:24,040 --> 00:40:25,440
Speaker 1: spill all the time. It turns out we have a

851
00:40:25,440 --> 00:40:28,360
Speaker 1: one thousand trained derailments or something like that per on

852
00:40:28,440 --> 00:40:32,600
Speaker 1: an annual basis here in the US. Compare that on

853
00:40:32,680 --> 00:40:35,640
Speaker 1: a per capita per mile versus other countries, and they

854
00:40:35,719 --> 00:40:38,240
Speaker 1: are laughing at the rest of us. And it's because

855
00:40:39,040 --> 00:40:41,919
Speaker 1: we don't properly regulate these monopolies. They have to choose

856
00:40:41,920 --> 00:40:44,120
Speaker 1: either we'd have a totally free market whenever it comes

857
00:40:44,160 --> 00:40:46,840
Speaker 1: to railroads, which by the way, is not possible in

858
00:40:46,960 --> 00:40:51,000
Speaker 1: their entire populist episodes in this entire country in the

859
00:40:51,040 --> 00:40:54,120
Speaker 1: past of our country, specifically around railroads monopolies.

860
00:40:54,200 --> 00:40:55,080
Speaker 2: We're talking about John D.

861
00:40:55,200 --> 00:40:57,680
Speaker 1: Rockefeller and the power of the railroads and the gouging

862
00:40:57,760 --> 00:41:01,080
Speaker 1: rates and all that. Like, we literally had the fight before,

863
00:41:01,200 --> 00:41:04,400
Speaker 1: and we won. Actually the people won against the monopolists

864
00:41:04,560 --> 00:41:07,320
Speaker 1: whenever it came to that. Now though we seem to

865
00:41:07,360 --> 00:41:10,000
Speaker 1: have forgotten that lesson, and in the context also of

866
00:41:10,440 --> 00:41:12,359
Speaker 1: what's happening with the airlines, you know, basically the new

867
00:41:12,400 --> 00:41:14,320
Speaker 1: transportation monopolized infrastructure.

868
00:41:14,320 --> 00:41:17,080
Speaker 2: It's like we haven't learned anything. The consumer always loses.

869
00:41:17,320 --> 00:41:20,360
Speaker 4: Infrastructure is yes, the infrastructure is the most basic function

870
00:41:20,440 --> 00:41:23,799
Speaker 4: of a government safety infrastructure the combination of both of them,

871
00:41:23,880 --> 00:41:26,760
Speaker 4: and we to like bridge both of these segments between

872
00:41:26,800 --> 00:41:29,120
Speaker 4: airlines and rail we cannot even do the most basic

873
00:41:29,200 --> 00:41:31,680
Speaker 4: things despite being one of the wealthiest countries who ever

874
00:41:31,760 --> 00:41:33,320
Speaker 4: exist on the face of the earth, one of the

875
00:41:33,360 --> 00:41:36,040
Speaker 4: most technologically advanced societies who ever exist on the face

876
00:41:36,080 --> 00:41:38,720
Speaker 4: of the earth. We cannot use all of these amazing

877
00:41:38,760 --> 00:41:41,840
Speaker 4: resources that we have to do basic things anymore.

878
00:41:41,920 --> 00:41:43,880
Speaker 3: And it's completely tragic.

879
00:41:43,719 --> 00:41:44,919
Speaker 2: Right, it really is sad.

880
00:41:44,960 --> 00:41:48,000
Speaker 1: Anyway, Look good news by Trump endorse it. So let's

881
00:41:48,040 --> 00:41:49,200
Speaker 1: get this goddamn.

882
00:41:48,760 --> 00:41:49,640
Speaker 3: It's huge news.

883
00:41:49,800 --> 00:41:53,040
Speaker 4: And that's we'll keep people saying yeah it genuinely will keep.

884
00:41:52,920 --> 00:41:53,880
Speaker 3: People saying yes it.

885
00:41:54,000 --> 00:41:55,680
Speaker 2: Actually it literally a could save lives.

886
00:41:56,360 --> 00:41:58,640
Speaker 1: Maybe we'll all be a little bit better off knowing

887
00:41:58,680 --> 00:42:01,879
Speaker 1: the chemicals and I bought be accidentally spilling, and that big,

888
00:42:02,040 --> 00:42:07,319
Speaker 1: big billionaire railroad executives won't be getting fat paychecks. Well,

889
00:42:07,600 --> 00:42:10,880
Speaker 1: cats are literally dropping dead in East pala steam. We

890
00:42:10,920 --> 00:42:12,840
Speaker 1: haven't forgotten about that story, and we're going to continue

891
00:42:13,160 --> 00:42:15,359
Speaker 1: to keep up on it. Like I said, hopefully we'll

892
00:42:15,360 --> 00:42:17,080
Speaker 1: be able to get Senator Vance. We're working on it

893
00:42:17,200 --> 00:42:20,759
Speaker 1: right now. In the show on Thursday, to discuss the bill,

894
00:42:21,000 --> 00:42:23,840
Speaker 1: let's go ahead and talk about the lab leak theory.

895
00:42:23,960 --> 00:42:25,880
Speaker 1: So this is one where of course, you guys know

896
00:42:26,040 --> 00:42:27,479
Speaker 1: you can't get enough lab leak here.

897
00:42:27,719 --> 00:42:30,279
Speaker 3: And for me, you and Ryan are just like the

898
00:42:30,480 --> 00:42:32,279
Speaker 3: lab leak because here's the thing.

899
00:42:32,760 --> 00:42:35,279
Speaker 2: For me, Originally it was where tod COVID come from.

900
00:42:35,360 --> 00:42:38,000
Speaker 1: Yeah, that's layer one, but layer two is, well, whoa,

901
00:42:38,080 --> 00:42:41,840
Speaker 1: what is this multi billion dollar infrastructure that exists for

902
00:42:41,960 --> 00:42:42,640
Speaker 1: funding labs?

903
00:42:42,719 --> 00:42:44,120
Speaker 2: That's actually a second layer.

904
00:42:44,360 --> 00:42:48,080
Speaker 1: Third layer is Wait, this multi billion dollar infrastructure funded

905
00:42:48,120 --> 00:42:52,239
Speaker 1: by the US government is completely unregulated, unsafe, and has

906
00:42:52,320 --> 00:42:56,839
Speaker 1: been propagated by maniacs like doctor Fauci and ideologues who

907
00:42:56,960 --> 00:42:59,920
Speaker 1: believe that genetically engineering dangerous viruses is going to make

908
00:43:00,120 --> 00:43:02,640
Speaker 1: us more safe. Then you peel the layer back even

909
00:43:02,719 --> 00:43:05,040
Speaker 1: more and you find out that it all traces back

910
00:43:05,120 --> 00:43:08,800
Speaker 1: to the two thousand and one anthrax attack in October.

911
00:43:09,160 --> 00:43:11,239
Speaker 1: And then you go a deeper level and find out

912
00:43:11,280 --> 00:43:14,600
Speaker 1: that we never actually solved that so called attack or

913
00:43:14,920 --> 00:43:17,520
Speaker 1: release or whatever you want to call it, and that

914
00:43:17,640 --> 00:43:20,760
Speaker 1: there are some still very sketchy questions that multi billions

915
00:43:20,800 --> 00:43:24,360
Speaker 1: of dollars were printed off of. Basically, we had almost

916
00:43:24,400 --> 00:43:28,480
Speaker 1: a Patriot Act level of revolution in the sphere of

917
00:43:28,600 --> 00:43:29,760
Speaker 1: bio defense.

918
00:43:29,680 --> 00:43:31,080
Speaker 3: Was literally part of the Patriot Act.

919
00:43:31,160 --> 00:43:32,760
Speaker 2: No, I know, but I'm saying it got no attention.

920
00:43:32,880 --> 00:43:36,359
Speaker 1: Yeah, Like everybody knows about the overreaches of the Patriot Act,

921
00:43:36,400 --> 00:43:39,840
Speaker 1: of the dangers of the billions of dollars spent on

922
00:43:40,000 --> 00:43:43,759
Speaker 1: fake tsa screening, nobody ever asked any questions, including me

923
00:43:44,160 --> 00:43:47,600
Speaker 1: until twenty twenty one, basically when we were talking about

924
00:43:47,680 --> 00:43:50,480
Speaker 1: lab leak in twenty twenty to say like where did

925
00:43:50,520 --> 00:43:52,799
Speaker 1: all of this come from? So like, whenever you start

926
00:43:52,840 --> 00:43:54,880
Speaker 1: to peel back the layers, you just see this like

927
00:43:55,160 --> 00:43:59,880
Speaker 1: vast infrastructure of basically Jurassic Park playing out on a

928
00:44:00,400 --> 00:44:01,440
Speaker 1: mass human scale.

929
00:44:01,719 --> 00:44:03,080
Speaker 2: And the craziest part.

930
00:44:03,320 --> 00:44:05,640
Speaker 1: Is, you know, using the Jurassic Park analogy, it's like

931
00:44:05,800 --> 00:44:08,120
Speaker 1: we just had the dinosaurs escape from the cage, and

932
00:44:08,640 --> 00:44:10,680
Speaker 1: all of us know the dinosaurs escape from the cage,

933
00:44:10,840 --> 00:44:14,719
Speaker 1: and the answer from the scientific establishment is let's give amgen.

934
00:44:14,840 --> 00:44:17,319
Speaker 1: I think that's the company even more money so they

935
00:44:17,360 --> 00:44:20,080
Speaker 1: can genetically engineer even more vicious dinosaurs.

936
00:44:20,160 --> 00:44:21,279
Speaker 2: And we're gonna do that.

937
00:44:21,400 --> 00:44:23,560
Speaker 4: Don't you dare say we shouldn't be agin don't say

938
00:44:23,600 --> 00:44:25,680
Speaker 4: that we shouldn't do to these dinosaurs, because if you do,

939
00:44:25,760 --> 00:44:26,759
Speaker 4: you are an enemy of science.

940
00:44:26,800 --> 00:44:28,600
Speaker 1: You're an enemy of science itself. So let's go and

941
00:44:28,680 --> 00:44:30,919
Speaker 1: put this up there on the screen. Scientists currently linked

942
00:44:30,960 --> 00:44:34,200
Speaker 1: to the Wuhan Lab are back in business because the

943
00:44:34,400 --> 00:44:38,960
Speaker 1: US is renewing a grant for natural origins research to

944
00:44:39,120 --> 00:44:41,160
Speaker 1: Eco Health Alliance. Now I've talked about this previously, but

945
00:44:41,239 --> 00:44:44,480
Speaker 1: this is actually a new grant. Quote from EcoHealth Alliance,

946
00:44:44,719 --> 00:44:48,000
Speaker 1: we have a lot of human serum samples in freezers

947
00:44:48,160 --> 00:44:49,480
Speaker 1: around Southeast Asia.

948
00:44:49,920 --> 00:44:51,800
Speaker 2: They will provide clues.

949
00:44:52,120 --> 00:44:55,200
Speaker 1: We are resuming as of this month, the funding of

950
00:44:55,239 --> 00:44:59,719
Speaker 1: the EcoHealth Alliance with Gain of Function Research in South

951
00:44:59,760 --> 00:45:02,759
Speaker 1: East Stasia, the very same group that was funding the

952
00:45:02,840 --> 00:45:05,799
Speaker 1: Wuhan Lab. Under the current terms of the grant, they

953
00:45:05,840 --> 00:45:09,399
Speaker 1: will receive approximately six hundred thousand dollars for the next

954
00:45:09,480 --> 00:45:14,640
Speaker 1: four years to continue work unquote bat origin coronaviruses. It

955
00:45:14,800 --> 00:45:19,040
Speaker 1: is committed, however, to not subcontract its work to China.

956
00:45:19,440 --> 00:45:22,680
Speaker 1: Instead it will just focus on Southeast Asia. And by

957
00:45:22,719 --> 00:45:27,560
Speaker 1: the way, this isn't just existing samples, collecting new virus

958
00:45:27,640 --> 00:45:32,919
Speaker 1: samples from the wild to engage in recombination aka gain

959
00:45:33,400 --> 00:45:38,480
Speaker 1: of function research still headed by doctor Peter Dazak. For

960
00:45:38,560 --> 00:45:41,439
Speaker 1: those who don't need the reminder or neither reminder, Doctor

961
00:45:41,480 --> 00:45:45,480
Speaker 1: Peter Dazak was not only the conduit between doctor Fauci

962
00:45:45,800 --> 00:45:48,240
Speaker 1: and the Wuhan Lab for funding. He was also emily

963
00:45:48,320 --> 00:45:53,480
Speaker 1: a member of the World Health Organization team investigating lab leak,

964
00:45:53,760 --> 00:45:55,440
Speaker 1: where they came to the conclusion that it was not

965
00:45:55,560 --> 00:45:58,960
Speaker 1: a lab leak. The way he doctor Dazac arrived at

966
00:45:59,000 --> 00:46:01,680
Speaker 1: this conclusion, by the way, is he asked the Chinese

967
00:46:01,800 --> 00:46:04,440
Speaker 1: and they said it was not a labla and whenever

968
00:46:04,880 --> 00:46:07,160
Speaker 1: even sixty minutes, was like, are you just taking the

969
00:46:07,200 --> 00:46:08,360
Speaker 1: words for the Chinese.

970
00:46:08,400 --> 00:46:09,759
Speaker 2: He's a British guy, and he said, well, what else

971
00:46:09,800 --> 00:46:10,160
Speaker 2: can we do?

972
00:46:10,600 --> 00:46:14,880
Speaker 1: And like, you know, I don't know, like circumstancel evidence,

973
00:46:15,200 --> 00:46:17,520
Speaker 1: actually subpoenaing records.

974
00:46:17,320 --> 00:46:19,800
Speaker 2: Within the who in your own organization. No, no, we

975
00:46:19,840 --> 00:46:20,919
Speaker 2: can't do any of that. Okay.

976
00:46:21,000 --> 00:46:22,879
Speaker 3: I like how you did him sort of a misdoubt fire.

977
00:46:23,000 --> 00:46:24,880
Speaker 1: Yeah, well that's what was necessary. He actually is a

978
00:46:24,920 --> 00:46:27,040
Speaker 1: clownish figure. I don't just mean that, I guess I

979
00:46:27,120 --> 00:46:29,279
Speaker 1: do mean in a very mean way. Yeah, anyway, you

980
00:46:29,320 --> 00:46:31,640
Speaker 1: should go watch the interview if you're interested.

981
00:46:31,760 --> 00:46:35,400
Speaker 4: Well, the audacity though Peter Dazak is like unrelenting and

982
00:46:35,640 --> 00:46:39,120
Speaker 4: somehow remarkable. It is. That's why he shouldn't be able

983
00:46:39,120 --> 00:46:40,839
Speaker 4: to show his face in public after what he did,

984
00:46:40,920 --> 00:46:44,000
Speaker 4: and yet he's being quoted with this like very arrogant take,

985
00:46:44,080 --> 00:46:46,279
Speaker 4: like well, we're very glad to resume this type of

986
00:46:46,280 --> 00:46:46,919
Speaker 4: blah blah blah.

987
00:46:46,960 --> 00:46:48,799
Speaker 1: It also reminds me too of how badly the media

988
00:46:48,800 --> 00:46:51,440
Speaker 1: has done a job here. So for example, if everybody

989
00:46:51,520 --> 00:46:54,719
Speaker 1: remembers Valerie Plain, this was the household name in the

990
00:46:54,760 --> 00:46:56,440
Speaker 1: mid two thousands, and the reason why is that she

991
00:46:56,520 --> 00:46:58,960
Speaker 1: was a CIA agent. She was married to this ambassador,

992
00:46:59,000 --> 00:47:03,600
Speaker 1: and the ambassador was linked to the yellow Cake uranium story.

993
00:47:03,880 --> 00:47:05,399
Speaker 1: The point that I'm making is that's got the Bob

994
00:47:06,440 --> 00:47:08,160
Speaker 1: I've got the Bobby Novack book behind you. Back in

995
00:47:08,200 --> 00:47:13,000
Speaker 1: the mid two thousands, after IRAQ WMD, the media actually

996
00:47:13,080 --> 00:47:15,920
Speaker 1: did their job and said, how A, how do we

997
00:47:15,960 --> 00:47:18,120
Speaker 1: get this so wrong? I'm not saying that they didn't,

998
00:47:18,200 --> 00:47:22,320
Speaker 1: you know, apologize, but they at least investigated and household

999
00:47:22,480 --> 00:47:27,120
Speaker 1: names were people who were intimately involved in the cover

1000
00:47:27,320 --> 00:47:30,799
Speaker 1: up of Iraq WMD, from the intelligence officials, just people

1001
00:47:30,880 --> 00:47:31,960
Speaker 1: like Scooter Libby.

1002
00:47:32,120 --> 00:47:33,040
Speaker 2: Like Valerie Plane.

1003
00:47:33,520 --> 00:47:36,719
Speaker 1: All of these were characters who Americans could tell you

1004
00:47:36,800 --> 00:47:39,480
Speaker 1: about because they knew the chain of events which led

1005
00:47:39,520 --> 00:47:42,200
Speaker 1: to the false story about WMD in Iraq, which led

1006
00:47:42,239 --> 00:47:45,279
Speaker 1: ultimately to the invasion. If you are not you know,

1007
00:47:45,440 --> 00:47:48,360
Speaker 1: online and consume our content or the Joe Rogan podcast,

1008
00:47:48,800 --> 00:47:50,680
Speaker 1: you don't know who Peter Dazak is. Sure you know

1009
00:47:50,719 --> 00:47:52,440
Speaker 1: who fount You is, but you don't know some of

1010
00:47:52,480 --> 00:47:56,000
Speaker 1: the secondary and frankly most important characters in this story.

1011
00:47:56,960 --> 00:47:58,560
Speaker 1: Let's go and put the next one up there on

1012
00:47:58,719 --> 00:48:01,279
Speaker 1: the screen, Richard Ebright, who, once again I want to

1013
00:48:01,280 --> 00:48:03,680
Speaker 1: give Richard a shout out. He is the Board of

1014
00:48:03,719 --> 00:48:07,440
Speaker 1: Governors Professor of Chemistry and Chemical Biology at Rutgers. But

1015
00:48:07,880 --> 00:48:10,080
Speaker 1: the thing is is that Richard has been on the

1016
00:48:10,400 --> 00:48:16,040
Speaker 1: forefront of biosafety and pushing back against this vast behemoth

1017
00:48:16,400 --> 00:48:17,320
Speaker 1: for decades.

1018
00:48:17,600 --> 00:48:18,600
Speaker 2: I've cited him before.

1019
00:48:19,000 --> 00:48:21,359
Speaker 1: I found a quote of him as Scientific American back

1020
00:48:21,360 --> 00:48:25,000
Speaker 1: in two thousand and seven, pushing back against biodefense research

1021
00:48:25,560 --> 00:48:29,120
Speaker 1: in the posts anthrax world, so probably we owe like

1022
00:48:29,320 --> 00:48:33,000
Speaker 1: if there was ever a Cassandra around this, like it's Richard,

1023
00:48:33,080 --> 00:48:35,200
Speaker 1: and he has also been on the forefront of this

1024
00:48:35,239 --> 00:48:37,600
Speaker 1: from the beginning. And as he currently points out, there,

1025
00:48:37,960 --> 00:48:41,200
Speaker 1: despite possibly having caused a pandemic and definitely having repeatedly

1026
00:48:41,280 --> 00:48:44,800
Speaker 1: and gravely violated terms of US government grant, EcoHealth Alliance

1027
00:48:44,840 --> 00:48:50,280
Speaker 1: currently has sixteen active US government grants and contracts, totally

1028
00:48:50,440 --> 00:48:55,759
Speaker 1: more than fifty seven zero point eight million dollars. And

1029
00:48:56,040 --> 00:48:58,839
Speaker 1: that's another thing that I want to emphasize. Not all

1030
00:48:58,960 --> 00:49:01,120
Speaker 1: of what we're funding Eco Health Health Alliance has to

1031
00:49:01,200 --> 00:49:03,880
Speaker 1: do with gain a function. Some of it actually traces

1032
00:49:03,960 --> 00:49:08,320
Speaker 1: back to what I alluded to, this shady like National

1033
00:49:08,480 --> 00:49:12,600
Speaker 1: bio Defense thing which is housed within the same you know,

1034
00:49:13,000 --> 00:49:18,120
Speaker 1: WMD office inside of the Pentagon that we know nothing

1035
00:49:18,400 --> 00:49:21,719
Speaker 1: about these agencies. They're basically black holes that have been

1036
00:49:21,840 --> 00:49:24,960
Speaker 1: operating with impunity now for twenty years, and the only

1037
00:49:25,040 --> 00:49:27,480
Speaker 1: reason that we even know anything about it is, oh,

1038
00:49:27,600 --> 00:49:30,680
Speaker 1: they've caused one of the worst pandemics that the world

1039
00:49:30,760 --> 00:49:31,359
Speaker 1: has ever known.

1040
00:49:31,520 --> 00:49:33,800
Speaker 4: Well, yeah, there's that, And there's also this question of

1041
00:49:33,880 --> 00:49:36,200
Speaker 4: like the media knows that the stuff exists and Ken

1042
00:49:36,640 --> 00:49:38,239
Speaker 4: and Ken segment will talk a little bit about this,

1043
00:49:38,400 --> 00:49:40,600
Speaker 4: like they note exists, they don't ask any questions about

1044
00:49:40,600 --> 00:49:43,279
Speaker 4: it because partially, if you do ask questions about any

1045
00:49:43,320 --> 00:49:45,000
Speaker 4: of this, you're a crazy conspiracy theorist.

1046
00:49:45,000 --> 00:49:47,560
Speaker 3: And Peter Dazac, who's being quoted in the article that

1047
00:49:47,680 --> 00:49:49,120
Speaker 3: was just up on the screen, was.

1048
00:49:49,160 --> 00:49:53,040
Speaker 4: Colluding with Fauci and with Francis Collins to cast anybody

1049
00:49:53,080 --> 00:49:55,879
Speaker 4: who was suspicious of the Eco Health Alliance grant being

1050
00:49:56,120 --> 00:49:59,640
Speaker 4: used in Wuhan partially with American tax payer money that

1051
00:49:59,719 --> 00:50:02,600
Speaker 4: we could talk about as a conspiracy theorist. And so

1052
00:50:02,920 --> 00:50:07,200
Speaker 4: that's how they've been able to shield themselves impenetrably from criticism.

1053
00:50:07,280 --> 00:50:10,000
Speaker 4: We'll have sort of independent media talking about this, but

1054
00:50:10,360 --> 00:50:13,680
Speaker 4: basically nobody else gives it airtime because the government itself

1055
00:50:13,840 --> 00:50:16,440
Speaker 4: will collude with the Pentagon with the media to make

1056
00:50:16,520 --> 00:50:19,080
Speaker 4: shut down any questions of it, or to have the

1057
00:50:19,160 --> 00:50:21,480
Speaker 4: very least ostracized you and passed you as a crazy

1058
00:50:21,520 --> 00:50:24,720
Speaker 4: person if you happen to have questions about to your point, Sager,

1059
00:50:25,120 --> 00:50:27,120
Speaker 4: they'll even tell you how important this research is.

1060
00:50:27,160 --> 00:50:28,880
Speaker 3: Well, if it's so important, then maybe you should have

1061
00:50:28,880 --> 00:50:29,920
Speaker 3: a little bit of transparency.

1062
00:50:30,080 --> 00:50:30,760
Speaker 2: Well said.

1063
00:50:33,320 --> 00:50:36,000
Speaker 1: We talked a lot here about AI regulation, what AI

1064
00:50:36,120 --> 00:50:39,600
Speaker 1: regulation might and should look like. I've done monologues, so

1065
00:50:39,680 --> 00:50:42,160
Speaker 1: it is crystal about what you know, how we balance

1066
00:50:42,239 --> 00:50:45,839
Speaker 1: free speech concerns and political correctness with the genuine fear

1067
00:50:45,880 --> 00:50:51,000
Speaker 1: that technological development will overpass us and could possibly supplant us.

1068
00:50:51,080 --> 00:50:54,399
Speaker 1: So of course what you want whenever we're talking about

1069
00:50:54,400 --> 00:50:57,480
Speaker 1: AI regulation, Emily is the best and the brightest who

1070
00:50:57,560 --> 00:50:58,240
Speaker 1: are involved.

1071
00:50:58,320 --> 00:51:01,800
Speaker 2: And because of that, it seems of the White House

1072
00:51:02,200 --> 00:51:02,680
Speaker 2: taking heed.

1073
00:51:02,719 --> 00:51:06,040
Speaker 1: They're taking heed about how seriously they want to take

1074
00:51:06,120 --> 00:51:06,600
Speaker 1: this issue.

1075
00:51:06,640 --> 00:51:09,080
Speaker 2: And so they put Kamala Harris in charge, which is fantastic.

1076
00:51:09,200 --> 00:51:10,799
Speaker 1: Let's go and put this up there on the screen,

1077
00:51:10,840 --> 00:51:13,720
Speaker 1: they say, Biden and Harris are meeting with CEOs about

1078
00:51:13,760 --> 00:51:17,040
Speaker 1: AI risks. They met with the heads of Google, Microsoft,

1079
00:51:17,280 --> 00:51:20,960
Speaker 1: and two other companies involving in developing artificial intelligence as

1080
00:51:21,040 --> 00:51:23,560
Speaker 1: they are rolling out their initiatives meant to ensure the

1081
00:51:23,680 --> 00:51:28,439
Speaker 1: rapidly evolving technology improved lives without putting people's lives at risks.

1082
00:51:28,880 --> 00:51:33,640
Speaker 2: During that, they had this weird and bizarre drop.

1083
00:51:33,480 --> 00:51:36,920
Speaker 1: In by President Biden into the meeting, which was totally

1084
00:51:37,080 --> 00:51:39,279
Speaker 1: just a non plan drop in. Right, we always have

1085
00:51:39,400 --> 00:51:42,239
Speaker 1: cameraman pointing at the door with subtitles that are ready

1086
00:51:42,640 --> 00:51:44,319
Speaker 1: whenever somebody does drop into a meeting.

1087
00:51:44,800 --> 00:51:46,200
Speaker 2: President Biden came in.

1088
00:51:46,640 --> 00:51:49,120
Speaker 1: Here's what he had to say about Aire.

1089
00:51:49,120 --> 00:51:54,640
Speaker 5: No one has an enormous potential. I know you understand that,

1090
00:51:55,360 --> 00:51:58,120
Speaker 5: and I hope you can educate us.

1091
00:51:58,680 --> 00:52:02,600
Speaker 8: What you see is mostly tech society as well as

1092
00:52:02,680 --> 00:52:05,680
Speaker 8: to advage really really important.

1093
00:52:06,000 --> 00:52:09,200
Speaker 2: So a lot of platitudes. Still not really sure what's happening.

1094
00:52:10,800 --> 00:52:12,239
Speaker 4: Well, I was gonna say we should just pause there,

1095
00:52:12,280 --> 00:52:15,640
Speaker 4: and he was asking industry leaders. That's like going, you know,

1096
00:52:15,719 --> 00:52:19,160
Speaker 4: to a bunch of railway barons and saying, I'm really curious.

1097
00:52:19,200 --> 00:52:21,239
Speaker 3: I want you to tell us what we need to

1098
00:52:21,320 --> 00:52:23,520
Speaker 3: do to protect the people from this.

1099
00:52:23,840 --> 00:52:26,600
Speaker 4: And so that in and of itself is amusing, but

1100
00:52:26,800 --> 00:52:29,440
Speaker 4: it actually reminded me as we were talking. I did

1101
00:52:29,480 --> 00:52:32,200
Speaker 4: an interview with Nita Farahani recently, who's super interesting, has

1102
00:52:32,239 --> 00:52:34,520
Speaker 4: that new book Battle for Your Brain Out. She actually

1103
00:52:34,560 --> 00:52:37,800
Speaker 4: said she was on a commission on bioethics and the

1104
00:52:37,840 --> 00:52:41,200
Speaker 4: Aboma administration Trump dissolves the commission. She said to me,

1105
00:52:41,360 --> 00:52:44,440
Speaker 4: I was incredibly surprised that President Biden, who our commission

1106
00:52:44,480 --> 00:52:46,920
Speaker 4: met with under the Obama administration didn't after he took

1107
00:52:47,000 --> 00:52:49,919
Speaker 4: office create his own counsel or commission, despite the fact

1108
00:52:49,960 --> 00:52:52,359
Speaker 4: that there had been this gap during the Trump administration.

1109
00:52:52,520 --> 00:52:55,280
Speaker 4: And so again we have our leaders being caught completely

1110
00:52:55,320 --> 00:52:58,040
Speaker 4: flat footed by the fact that GPT. Obviously, it took

1111
00:52:58,040 --> 00:52:59,719
Speaker 4: a lot of people by storm, a lot of people

1112
00:52:59,760 --> 00:53:01,600
Speaker 4: weren't prepared for how quickly it was going to move.

1113
00:53:01,840 --> 00:53:05,360
Speaker 4: It is now the fastest growing social media platform of

1114
00:53:05,480 --> 00:53:07,680
Speaker 4: all time. Like, if you look at the chart, it's

1115
00:53:07,880 --> 00:53:11,480
Speaker 4: just nuts. You have like Facebook, Twitter, right, Yeah, in

1116
00:53:11,600 --> 00:53:13,920
Speaker 4: terms of daily it's insane how quickly it caught on.

1117
00:53:14,239 --> 00:53:16,680
Speaker 4: But again, when you were going to talk to industry

1118
00:53:16,760 --> 00:53:20,239
Speaker 4: leaders and ask them to protect the consumer, that's how

1119
00:53:20,280 --> 00:53:22,560
Speaker 4: you get caught flat footed because they think they're fine

1120
00:53:22,640 --> 00:53:25,640
Speaker 4: and the arrogance of the AI industry has been there's

1121
00:53:25,640 --> 00:53:28,480
Speaker 4: been cracks in it, and we've covered that, You've covered

1122
00:53:28,520 --> 00:53:30,399
Speaker 4: that a lot. That you have a lot of people

1123
00:53:30,400 --> 00:53:32,319
Speaker 4: who are in the industry who are like hinted, who

1124
00:53:32,360 --> 00:53:35,520
Speaker 4: have recently left the industry, who have different opinions about this.

1125
00:53:35,840 --> 00:53:37,800
Speaker 3: Well, why did he leave Google Because.

1126
00:53:37,560 --> 00:53:39,960
Speaker 4: He didn't think he could be an effective advocate for

1127
00:53:40,320 --> 00:53:43,920
Speaker 4: the protections that people need inside Google and I think

1128
00:53:43,960 --> 00:53:46,239
Speaker 4: that's when you see the President turning to Microsoft and

1129
00:53:46,320 --> 00:53:49,720
Speaker 4: Google appointing. Actually, it's a pretty fitting appointment for Kamala

1130
00:53:49,719 --> 00:53:52,520
Speaker 4: Harris because in some ways she really is the champion

1131
00:53:52,600 --> 00:53:54,960
Speaker 4: of artificial intelligence in a very literal sense.

1132
00:53:55,560 --> 00:53:59,680
Speaker 1: The funny problem to have talked about this with regulation is,

1133
00:54:00,280 --> 00:54:05,440
Speaker 1: of course Microsoft and Google will want regulation and licenses

1134
00:54:05,520 --> 00:54:07,520
Speaker 1: for people who are new entrants, because what they want

1135
00:54:07,560 --> 00:54:08,759
Speaker 1: to do is they want to come and they want

1136
00:54:08,760 --> 00:54:11,880
Speaker 1: to roll up the existing AI market incorporated into their

1137
00:54:11,880 --> 00:54:14,239
Speaker 1: search and battle it out against each other. And then

1138
00:54:14,320 --> 00:54:16,560
Speaker 1: basically what they would want is regulate.

1139
00:54:16,280 --> 00:54:18,680
Speaker 2: All of their up and coming competitors. I'm not saying

1140
00:54:18,719 --> 00:54:19,600
Speaker 2: the regulation is an answer.

1141
00:54:19,640 --> 00:54:21,680
Speaker 1: I'm saying that their type of regulation that they appeared

1142
00:54:21,719 --> 00:54:24,560
Speaker 1: to like the most is one which definitely would be

1143
00:54:25,120 --> 00:54:28,120
Speaker 1: a helping hand to the monopolists, whereas, let's say we

1144
00:54:28,200 --> 00:54:32,360
Speaker 1: had proper antitrust legislation on the books. Here's an interesting

1145
00:54:33,200 --> 00:54:37,439
Speaker 1: history for everybody involved Microsoft. Microsoft was actually sued under

1146
00:54:37,440 --> 00:54:39,799
Speaker 1: the Clint administration for antitrust.

1147
00:54:40,120 --> 00:54:41,480
Speaker 2: Now that suit.

1148
00:54:41,360 --> 00:54:44,759
Speaker 1: Itself, even though it was dropped by the Bush administration.

1149
00:54:45,239 --> 00:54:50,640
Speaker 1: Microsoft felt compelled not to enter certain markets at that time,

1150
00:54:51,160 --> 00:54:54,400
Speaker 1: specifically because they were concerned that by doing so, they

1151
00:54:54,480 --> 00:54:57,680
Speaker 1: might add to the monopolistic argument and to the case

1152
00:54:57,719 --> 00:54:59,720
Speaker 1: that was being brought against them by the DOJ.

1153
00:55:00,000 --> 00:55:02,560
Speaker 2: So, once again, not even a successful case.

1154
00:55:02,760 --> 00:55:05,600
Speaker 1: Just the pressure of political pressure itself was enough to

1155
00:55:05,640 --> 00:55:07,680
Speaker 1: make sure that they didn't get involved. Now, let's say

1156
00:55:07,680 --> 00:55:10,920
Speaker 1: that we had proper AI legislation, or even monopoly legislation

1157
00:55:11,000 --> 00:55:11,480
Speaker 1: on the books.

1158
00:55:11,800 --> 00:55:15,080
Speaker 2: Google not even as allowed to get into AI, not even.

1159
00:55:15,080 --> 00:55:19,279
Speaker 1: Allowed to try and pursue AGI whenever it comes to

1160
00:55:19,400 --> 00:55:20,080
Speaker 1: their search products.

1161
00:55:20,080 --> 00:55:20,800
Speaker 2: Same with Microsoft.

1162
00:55:20,840 --> 00:55:22,719
Speaker 1: You know, these companies would be so big that they

1163
00:55:22,760 --> 00:55:25,360
Speaker 1: wouldn't even be considering it. Well, imagine that world, a

1164
00:55:25,440 --> 00:55:29,520
Speaker 1: world where Chat, Shept and open Ai remain open instead

1165
00:55:29,560 --> 00:55:32,120
Speaker 1: of ten billion dollar multi billion dollar companies who are

1166
00:55:32,239 --> 00:55:36,280
Speaker 1: partnering with existing corporate giants. Now we have a startup,

1167
00:55:36,480 --> 00:55:39,719
Speaker 1: a brand new competitor, and then we have all these

1168
00:55:39,760 --> 00:55:44,000
Speaker 1: other different startups and competitors that might actually revolutionize search

1169
00:55:44,080 --> 00:55:46,600
Speaker 1: and change things, where Google at the very least would

1170
00:55:46,600 --> 00:55:48,839
Speaker 1: be able to have to pay for it, or maybe

1171
00:55:48,880 --> 00:55:50,680
Speaker 1: they're not even blocked by that. We could have a

1172
00:55:50,760 --> 00:55:53,239
Speaker 1: different licensing regime. We have to go back and think

1173
00:55:53,280 --> 00:55:56,319
Speaker 1: about the web and if we think AI is as

1174
00:55:56,360 --> 00:55:57,879
Speaker 1: revolutionary as the web.

1175
00:55:58,000 --> 00:55:58,960
Speaker 2: What went wrong with the web?

1176
00:55:59,040 --> 00:56:00,920
Speaker 1: I mean, one of the things that went wrong is

1177
00:56:01,239 --> 00:56:03,600
Speaker 1: if we think about nineteen ninety eight being on the Internet,

1178
00:56:03,800 --> 00:56:05,040
Speaker 1: We're all having an awesome time.

1179
00:56:05,239 --> 00:56:08,560
Speaker 2: It's super cool. People are checking out different websites. They're like,

1180
00:56:08,600 --> 00:56:09,720
Speaker 2: have we chocked out this website?

1181
00:56:10,000 --> 00:56:13,200
Speaker 1: That website It hadn't been rolled up yet, and you know,

1182
00:56:13,320 --> 00:56:15,799
Speaker 1: Yahoo and all these other directories. They weren't even really

1183
00:56:15,800 --> 00:56:17,800
Speaker 1: search It was more like a list of cool websites

1184
00:56:18,120 --> 00:56:18,680
Speaker 1: that were around.

1185
00:56:18,680 --> 00:56:18,799
Speaker 2: There.

1186
00:56:18,800 --> 00:56:22,120
Speaker 1: There were genuine communities, There was a serious free speech,

1187
00:56:22,440 --> 00:56:25,320
Speaker 1: and there was the idea this will lead to you know,

1188
00:56:25,600 --> 00:56:28,920
Speaker 1: all these great ideas and creativity and freedom.

1189
00:56:29,400 --> 00:56:31,080
Speaker 2: And then what happened. It got corporatized.

1190
00:56:31,080 --> 00:56:34,280
Speaker 1: It got rolled up effectively both by Google, by Facebook,

1191
00:56:34,320 --> 00:56:36,480
Speaker 1: by Twitter, and the vast majority of web traffic and

1192
00:56:36,520 --> 00:56:39,480
Speaker 1: our experience on the web happens through portals of let's say,

1193
00:56:39,560 --> 00:56:43,320
Speaker 1: like five to ten different websites. That actually is what

1194
00:56:43,960 --> 00:56:46,640
Speaker 1: was the opposite of what people predicted in kind of

1195
00:56:46,680 --> 00:56:50,000
Speaker 1: the early days of the kind of crypto libertarianism that

1196
00:56:50,160 --> 00:56:53,600
Speaker 1: sprung up from the early nineteen nineties Internet. Why would

1197
00:56:53,680 --> 00:56:56,760
Speaker 1: we choose emily to go down and do the exact

1198
00:56:56,800 --> 00:56:59,000
Speaker 1: same thing whenever it comes to AI.

1199
00:57:00,040 --> 00:57:01,279
Speaker 2: You would never choose to do.

1200
00:57:01,360 --> 00:57:03,600
Speaker 4: That, No, we wouldn't, but this headline might give you

1201
00:57:04,200 --> 00:57:06,719
Speaker 4: some some answers. This is from June twenty second, twenty

1202
00:57:06,760 --> 00:57:08,200
Speaker 4: twenty one, so it is a couple of years ago

1203
00:57:08,239 --> 00:57:11,520
Speaker 4: in Washington post Biden administration, full of officials who worked

1204
00:57:11,560 --> 00:57:14,040
Speaker 4: for prominent tech companies. The ties are most prominent at

1205
00:57:14,040 --> 00:57:16,920
Speaker 4: the White House, where thirteen aids, some of them with

1206
00:57:17,040 --> 00:57:21,360
Speaker 4: the ear of the President, have previously worked for Google, Amazon, Apple, Facebook, Lift, Microsoft, Twitter,

1207
00:57:21,520 --> 00:57:23,959
Speaker 4: or Uber. That's pretty much the answer to the question,

1208
00:57:24,080 --> 00:57:27,960
Speaker 4: because the way that Washington works is when you do

1209
00:57:28,080 --> 00:57:30,680
Speaker 4: have the ear of the president, you know, it's known

1210
00:57:30,760 --> 00:57:33,120
Speaker 4: that you may have had ties to the industry or whatever,

1211
00:57:33,280 --> 00:57:36,880
Speaker 4: but it runs on like goodwill. And if you have

1212
00:57:37,080 --> 00:57:38,919
Speaker 4: built up this bank of goodwill, you've been a loyal

1213
00:57:38,960 --> 00:57:41,760
Speaker 4: foot soldier to the president. Your friends at Google, your

1214
00:57:41,800 --> 00:57:43,840
Speaker 4: former co workers are chirping in your ear about how

1215
00:57:43,880 --> 00:57:46,240
Speaker 4: it's actually going to be a disaster if you regulate it.

1216
00:57:46,280 --> 00:57:49,000
Speaker 4: We're going to fall behind China, which has very heavily

1217
00:57:49,200 --> 00:57:51,160
Speaker 4: regulated AI and is developing it. And there are all

1218
00:57:51,160 --> 00:57:55,040
Speaker 4: these national security concerns. If you have that person chirping

1219
00:57:55,080 --> 00:57:56,640
Speaker 4: in your ear, and you go tell the president that

1220
00:57:57,000 --> 00:57:59,680
Speaker 4: your message gets priority over any other message. And so

1221
00:57:59,760 --> 00:58:02,480
Speaker 4: it's not just that people are paying cash bribes, obviously,

1222
00:58:03,120 --> 00:58:05,680
Speaker 4: but it's more that like you have the influence and

1223
00:58:05,800 --> 00:58:09,360
Speaker 4: you have the amplified voice over everybody else. And so

1224
00:58:09,480 --> 00:58:12,240
Speaker 4: Biden coming to them and saying, you know you're Kamala

1225
00:58:12,240 --> 00:58:14,560
Speaker 4: Harris said the same thing. They said, you have ethical

1226
00:58:14,720 --> 00:58:18,800
Speaker 4: obligations here. What you're doing could be very dangerous. Great,

1227
00:58:19,760 --> 00:58:22,200
Speaker 4: what are you doing? But Joe Biden does not understand

1228
00:58:22,240 --> 00:58:23,160
Speaker 4: artificial intelligence.

1229
00:58:23,160 --> 00:58:24,040
Speaker 3: I would be surprised.

1230
00:58:24,120 --> 00:58:25,000
Speaker 2: I mean I barely do.

1231
00:58:25,120 --> 00:58:27,440
Speaker 1: The whole point is that we need real experts who

1232
00:58:27,640 --> 00:58:30,880
Speaker 1: don't have any who don't have any stake in the companies,

1233
00:58:31,200 --> 00:58:33,880
Speaker 1: to be making the legislation, not the other way around,

1234
00:58:34,440 --> 00:58:36,200
Speaker 1: which actually brings me to the next point and some

1235
00:58:36,360 --> 00:58:40,040
Speaker 1: really interesting news. Actually, sal Kan of con Academy, let's

1236
00:58:40,040 --> 00:58:41,960
Speaker 1: go and put this up there on the screen, is

1237
00:58:42,000 --> 00:58:46,440
Speaker 1: actually piloting a version of chat GPT called con Mingo,

1238
00:58:46,640 --> 00:58:49,320
Speaker 1: and it's a new tool trained to act as a

1239
00:58:49,440 --> 00:58:50,240
Speaker 1: tutor and.

1240
00:58:50,320 --> 00:58:51,480
Speaker 2: A teacher's assistant.

1241
00:58:52,440 --> 00:58:56,360
Speaker 1: It's a really interesting managed version of the open AI platform.

1242
00:58:56,520 --> 00:58:59,440
Speaker 1: That quote can help guide students in their studies, not

1243
00:58:59,720 --> 00:59:02,040
Speaker 1: enable them to cheat. A pilot currently running with a

1244
00:59:02,080 --> 00:59:04,280
Speaker 1: handful of schools and districts to try and test the software.

1245
00:59:05,120 --> 00:59:08,040
Speaker 1: The thing is about con Solcon and con Academy is

1246
00:59:08,080 --> 00:59:13,080
Speaker 1: obviously the revolutionary revolutionized like initial tutoring with YouTube videos.

1247
00:59:13,320 --> 00:59:15,160
Speaker 1: I remember, you know, even watching some of his videos

1248
00:59:15,200 --> 00:59:17,640
Speaker 1: back when I was going through late high school and

1249
00:59:17,760 --> 00:59:19,600
Speaker 1: throughout college, and a lot of STEM people I know

1250
00:59:19,680 --> 00:59:22,120
Speaker 1: were just absolutely obsessed with it, and with Wolf from

1251
00:59:22,120 --> 00:59:25,560
Speaker 1: Alpha you know things and brands like this by looking

1252
00:59:25,640 --> 00:59:30,640
Speaker 1: at it and how he is developing this technology. What

1253
00:59:30,720 --> 00:59:35,360
Speaker 1: they're trying to do is have, like they say, engage

1254
00:59:35,600 --> 00:59:39,919
Speaker 1: in conversation, even with voices of literary characters, to serve

1255
00:59:40,000 --> 00:59:44,120
Speaker 1: as debate partners, to guide students through math problems, to

1256
00:59:44,280 --> 00:59:47,640
Speaker 1: help debug code. And I wanted to pair this, I

1257
00:59:47,720 --> 00:59:51,000
Speaker 1: think with the previous one because one of the places

1258
00:59:51,040 --> 00:59:54,760
Speaker 1: where I see the most hope Emily is in helping

1259
00:59:55,240 --> 01:00:00,360
Speaker 1: revolutionize education because education is bogged down by bureaucracy and

1260
01:00:00,520 --> 01:00:03,680
Speaker 1: busy work through pop quizzes and bs.

1261
01:00:04,320 --> 01:00:05,840
Speaker 2: It's all fake and we all know it.

1262
01:00:06,160 --> 01:00:09,520
Speaker 1: We're talking about you know, online homework assignments like you

1263
01:00:09,560 --> 01:00:12,560
Speaker 1: remember did you take intro to econ those e coon courses.

1264
01:00:12,720 --> 01:00:14,520
Speaker 3: I don't know anything about the economy.

1265
01:00:14,640 --> 01:00:20,800
Speaker 1: Okay, Well, actually, anybody who's ever taken like intro to

1266
01:00:20,880 --> 01:00:26,200
Speaker 1: macroeconomics or whatever, this is all sanitized homework that you're

1267
01:00:26,240 --> 01:00:29,440
Speaker 1: doing on a computer program that your university has licensed,

1268
01:00:29,720 --> 01:00:32,040
Speaker 1: and that you're not learning anything. They're like, there are

1269
01:00:32,160 --> 01:00:35,000
Speaker 1: very basic questions where you know they code in some

1270
01:00:35,360 --> 01:00:38,000
Speaker 1: ways that you can't cheat, and it's all just checkbox.

1271
01:00:38,160 --> 01:00:39,040
Speaker 2: Same with statistics.

1272
01:00:39,040 --> 01:00:42,640
Speaker 1: If I remember my statistics statistics courses where the quizzes

1273
01:00:42,720 --> 01:00:45,240
Speaker 1: and all that, it was just nonsense, like it wasn't

1274
01:00:45,280 --> 01:00:49,560
Speaker 1: conceptually getting into anything. What I hope is that AI

1275
01:00:50,000 --> 01:00:53,000
Speaker 1: will destroy all busy work because it would be ridiculous

1276
01:00:53,360 --> 01:00:55,440
Speaker 1: to even sign it when you know it is so

1277
01:00:55,520 --> 01:00:59,120
Speaker 1: easily cheated on, and instead in my statistics statistics classes

1278
01:00:59,240 --> 01:01:03,640
Speaker 1: or macrorec nomics classes, instead of doing box checks from textbooks, we'd.

1279
01:01:03,480 --> 01:01:07,320
Speaker 2: Be like, what is GDP? Why does it matter?

1280
01:01:07,640 --> 01:01:08,760
Speaker 3: You can ask Hillary Clinton.

1281
01:01:08,880 --> 01:01:11,760
Speaker 2: Yeah, no, I'm saying we want in the course.

1282
01:01:11,960 --> 01:01:15,720
Speaker 1: I'm sitting there, laptop clothes, I'm sitting with a professor, like,

1283
01:01:16,120 --> 01:01:19,440
Speaker 1: explain this to me in terms that I can understand.

1284
01:01:19,560 --> 01:01:22,600
Speaker 1: In a real dialogue instead of six seven hundred people

1285
01:01:22,600 --> 01:01:25,920
Speaker 1: in a classroom all looking at some stupid PowerPoint, everyone

1286
01:01:26,040 --> 01:01:28,960
Speaker 1: fake taking notes and then fake doing homework and we're

1287
01:01:29,000 --> 01:01:31,440
Speaker 1: all just you know, gaming our GPA so we can

1288
01:01:31,480 --> 01:01:33,160
Speaker 1: go work at Mackenzie afterwards.

1289
01:01:33,200 --> 01:01:35,360
Speaker 2: Like this is this is why it's like I want

1290
01:01:35,400 --> 01:01:36,480
Speaker 2: that dead and gone.

1291
01:01:36,600 --> 01:01:39,400
Speaker 1: And from what I've heard with the destruction of CHEG

1292
01:01:39,960 --> 01:01:43,480
Speaker 1: bringing back in person essays written by hand, I love that.

1293
01:01:43,880 --> 01:01:46,520
Speaker 1: Love that, like courses and stuff written by hand Emily

1294
01:01:46,880 --> 01:01:50,760
Speaker 1: and removing busy working and bringing back socratic discussion in

1295
01:01:50,800 --> 01:01:52,840
Speaker 1: classroom we might actually learn something.

1296
01:01:53,000 --> 01:01:55,280
Speaker 3: It's amazing. Actually, yeah, that's the thing.

1297
01:01:55,360 --> 01:01:57,520
Speaker 4: Like there's doom and gloom about generative as this is

1298
01:01:57,600 --> 01:01:58,200
Speaker 4: what I'm happy.

1299
01:01:58,360 --> 01:02:00,840
Speaker 3: This is good stuff. Walter Russell Mead had a great

1300
01:02:00,840 --> 01:02:02,360
Speaker 3: piece of tablet yesterday. Don't if you read it.

1301
01:02:02,440 --> 01:02:05,320
Speaker 4: It's called you are Not Destined to Live in Quiet Times,

1302
01:02:05,400 --> 01:02:07,240
Speaker 4: And the way he frames it is like, listen, the

1303
01:02:07,360 --> 01:02:09,440
Speaker 4: reality here in the same way that this is the

1304
01:02:09,480 --> 01:02:11,840
Speaker 4: reality in the Oppenheimer era, is that this is a

1305
01:02:12,040 --> 01:02:14,200
Speaker 4: massive rate of change. It's happening over the course of

1306
01:02:14,240 --> 01:02:16,560
Speaker 4: your lifetime, whether you like it or not. And so

1307
01:02:16,800 --> 01:02:18,920
Speaker 4: that means some of it's going to be really, really dangerous,

1308
01:02:19,040 --> 01:02:21,320
Speaker 4: and some of it can be harnessed and channeled for

1309
01:02:21,680 --> 01:02:23,880
Speaker 4: the good of mankind. When you look at Jennit of

1310
01:02:23,920 --> 01:02:26,920
Speaker 4: Ai and you look at the state of our education system,

1311
01:02:26,960 --> 01:02:28,480
Speaker 4: which we're going to be talking about a little later

1312
01:02:28,520 --> 01:02:31,960
Speaker 4: in the show. You posted last week the crazy history

1313
01:02:32,040 --> 01:02:35,800
Speaker 4: scores for eighth graders plummeting in the United States. Well,

1314
01:02:36,040 --> 01:02:39,760
Speaker 4: how much history homework do students do That is rendered

1315
01:02:39,800 --> 01:02:42,720
Speaker 4: basically completely useless. If you send them home in a

1316
01:02:42,760 --> 01:02:45,240
Speaker 4: world with chat GPT, they can get one hundred percents

1317
01:02:45,320 --> 01:02:48,760
Speaker 4: on that stuff. So like their radical change is going

1318
01:02:48,840 --> 01:02:51,480
Speaker 4: to have to happen right now, no matter what. And

1319
01:02:51,880 --> 01:02:54,400
Speaker 4: if we can actually come to the question of education

1320
01:02:54,640 --> 01:02:57,040
Speaker 4: with a new mindset because we are being forced by

1321
01:02:57,040 --> 01:03:00,480
Speaker 4: a stupid robot to prevent kids from cheating, then by

1322
01:03:00,600 --> 01:03:02,880
Speaker 4: all means like bring it on, that sounds great.

1323
01:03:03,120 --> 01:03:06,000
Speaker 1: I mean, And the questions that they include in these

1324
01:03:06,080 --> 01:03:09,840
Speaker 1: history exams are just so stupid and they really do

1325
01:03:10,080 --> 01:03:14,040
Speaker 1: not help anyone in any way. It's just wrote memorization.

1326
01:03:14,200 --> 01:03:16,720
Speaker 1: So I've pulled up, for example, from the a Push exam,

1327
01:03:16,840 --> 01:03:20,000
Speaker 1: the ap US History exam. Here are some samples from

1328
01:03:20,360 --> 01:03:24,520
Speaker 1: the free response questions. Okay, so they will give quotes

1329
01:03:25,080 --> 01:03:28,000
Speaker 1: and they'll say, you know, to respond to different excerts,

1330
01:03:28,080 --> 01:03:33,320
Speaker 1: describe a major difference between this excerpt and another expert's

1331
01:03:33,440 --> 01:03:37,880
Speaker 1: historical interpretations of the New Deal, or briefly explain how

1332
01:03:38,000 --> 01:03:40,920
Speaker 1: one event or development from nineteen thirty two to nineteen

1333
01:03:41,040 --> 01:03:44,080
Speaker 1: thirty forty five is not explicitly mentioned in excerts that

1334
01:03:44,120 --> 01:03:46,320
Speaker 1: could be used to support in argument. This is an

1335
01:03:46,400 --> 01:03:48,240
Speaker 1: arguments published in the nineteen thirties.

1336
01:03:48,160 --> 01:03:49,000
Speaker 2: Around the New Deal.

1337
01:03:49,320 --> 01:03:54,920
Speaker 1: This leads to just rote memorization and wrote memorization is

1338
01:03:55,200 --> 01:03:59,120
Speaker 1: just the worst possible thing that you could try. And

1339
01:03:59,720 --> 01:04:02,920
Speaker 1: you know, you could try and give people like other

1340
01:04:03,000 --> 01:04:05,760
Speaker 1: examples that I've seen is they'll they'll be like, what

1341
01:04:06,000 --> 01:04:09,040
Speaker 1: here are four read like like, which of these reasons

1342
01:04:09,520 --> 01:04:12,040
Speaker 1: is why America abolished slavery?

1343
01:04:12,480 --> 01:04:14,000
Speaker 3: You can't multiple choice that.

1344
01:04:15,120 --> 01:04:18,959
Speaker 1: It's like there are It's a multifaceted question that which

1345
01:04:19,040 --> 01:04:22,640
Speaker 1: requires us all sitting down and reading a range of

1346
01:04:22,760 --> 01:04:26,760
Speaker 1: different books from the original perspective to the postmodern perspective,

1347
01:04:27,120 --> 01:04:31,720
Speaker 1: and you know, reconciling which has validity and not historically

1348
01:04:32,040 --> 01:04:34,200
Speaker 1: and all of us would come up with a different

1349
01:04:34,240 --> 01:04:37,320
Speaker 1: answer why was America founded in the first Why did

1350
01:04:37,360 --> 01:04:39,680
Speaker 1: America ditch the Articles of Confederation? Like we all have

1351
01:04:39,760 --> 01:04:44,560
Speaker 1: these stupid history textbook answers. That's it's much more complicated

1352
01:04:44,600 --> 01:04:44,800
Speaker 1: than that.

1353
01:04:45,000 --> 01:04:46,720
Speaker 4: But well, yeah, and this is the lesson of the

1354
01:04:46,840 --> 01:04:49,880
Speaker 4: Articles of Confederation is not that there was another constitution

1355
01:04:50,000 --> 01:04:52,760
Speaker 4: named the Articles of Confederation, And that's what history teaches

1356
01:04:52,800 --> 01:04:55,720
Speaker 4: you to memorize, as opposed to like you actually truly

1357
01:04:55,880 --> 01:04:57,800
Speaker 4: internalizing what happens, like, well.

1358
01:04:57,840 --> 01:04:59,480
Speaker 1: We had this idea we have fought a revolution to

1359
01:04:59,560 --> 01:05:01,640
Speaker 1: have less power in the hands of the federal government.

1360
01:05:01,680 --> 01:05:03,200
Speaker 1: Maybe we took it too far, and then there was

1361
01:05:03,240 --> 01:05:05,560
Speaker 1: a rebellion, and then in the context of that, we said, okay,

1362
01:05:05,600 --> 01:05:07,800
Speaker 1: we're going to have a constitution convention and we're going

1363
01:05:07,840 --> 01:05:09,560
Speaker 1: to try and figure this thing out, which was very

1364
01:05:09,680 --> 01:05:12,920
Speaker 1: different from the original conception. That's pretty interesting whenever you

1365
01:05:13,080 --> 01:05:14,880
Speaker 1: kind of get into it a little bit, and then

1366
01:05:14,960 --> 01:05:16,680
Speaker 1: how we arrived at the Bill of Rides and the

1367
01:05:16,720 --> 01:05:19,800
Speaker 1: Constitution and all the stuff that we eventually all lived

1368
01:05:19,880 --> 01:05:22,320
Speaker 1: under now for over two hundred and fifty years. That's

1369
01:05:22,360 --> 01:05:24,480
Speaker 1: a story where you might actually get kids to look

1370
01:05:24,600 --> 01:05:26,160
Speaker 1: up rather than like you just said, well.

1371
01:05:26,120 --> 01:05:27,720
Speaker 2: Well we had this thing and then we ditched it.

1372
01:05:27,800 --> 01:05:31,120
Speaker 2: Thirteen years later, we all still sing that. What's the song?

1373
01:05:31,280 --> 01:05:32,280
Speaker 2: Like the School of Rocks?

1374
01:05:32,360 --> 01:05:36,320
Speaker 3: Oh the Yeah, both of us are public school kids. Mostly.

1375
01:05:36,560 --> 01:05:39,680
Speaker 3: I used to just like mercilessly mock homeschool kids. Obviously

1376
01:05:39,800 --> 01:05:42,400
Speaker 3: because I still do. I'm a bully. Yeah, No, they

1377
01:05:42,480 --> 01:05:43,440
Speaker 3: deserve it. In many cases.

1378
01:05:43,600 --> 01:05:45,040
Speaker 4: We're speaking as people.

1379
01:05:44,880 --> 01:05:46,040
Speaker 3: Who know a lot of home steal kids.

1380
01:05:46,640 --> 01:05:49,480
Speaker 4: But that said, when I talk to them now and

1381
01:05:49,600 --> 01:05:52,160
Speaker 4: realize how much better their educations were than what I got.

1382
01:05:52,800 --> 01:05:54,400
Speaker 4: Not everyone, but when I talked to them, it just

1383
01:05:54,480 --> 01:05:56,320
Speaker 4: like blows my mind and I feel like I lost

1384
01:05:56,360 --> 01:05:58,400
Speaker 4: out on something. And so if we can, because if

1385
01:05:58,440 --> 01:06:01,880
Speaker 4: the robot forces us to educate ourselves in a way

1386
01:06:01,920 --> 01:06:04,680
Speaker 4: that makes us better regulators of robots in the future

1387
01:06:04,760 --> 01:06:09,280
Speaker 4: generations have more civic mindedness, more socratic learning. I'm not optimistic,

1388
01:06:09,360 --> 01:06:11,560
Speaker 4: but to your point, Sager, if anything pushes us.

1389
01:06:11,480 --> 01:06:12,160
Speaker 3: To that, it's this.

1390
01:06:12,520 --> 01:06:13,920
Speaker 2: Yeah, I hope that it does.

1391
01:06:14,160 --> 01:06:17,240
Speaker 1: This actually is what college education in America used to

1392
01:06:17,320 --> 01:06:22,720
Speaker 1: look like pre basically bureaucratization post nineteen forty five. There

1393
01:06:22,760 --> 01:06:25,080
Speaker 1: are a lot of interesting reasons as to why that happened,

1394
01:06:25,120 --> 01:06:27,920
Speaker 1: money probably being number one and if there is one

1395
01:06:28,000 --> 01:06:30,320
Speaker 1: hope as to how we can escape it, this is

1396
01:06:30,360 --> 01:06:32,160
Speaker 1: what it is. Let's go to the last part here.

1397
01:06:32,800 --> 01:06:35,160
Speaker 1: Had to throw this in because Emily is here a

1398
01:06:35,280 --> 01:06:36,640
Speaker 1: resident culture war expert.

1399
01:06:36,680 --> 01:06:38,400
Speaker 2: I think let's go and put this up there on

1400
01:06:38,600 --> 01:06:39,000
Speaker 2: the screen.

1401
01:06:39,320 --> 01:06:45,560
Speaker 1: A California reparations panel has okayed a state apology and payments.

1402
01:06:46,160 --> 01:06:47,320
Speaker 3: They caut apology first.

1403
01:06:47,480 --> 01:06:48,160
Speaker 2: Yes, that's right.

1404
01:06:48,240 --> 01:06:51,440
Speaker 1: Yeah, that's kind of funny. They say, let's go ahead

1405
01:06:51,440 --> 01:06:54,520
Speaker 1: and get into it here a little bit. California's Reparation's

1406
01:06:54,600 --> 01:06:57,560
Speaker 1: Task Force has voted Saturday to approve recommendations on how

1407
01:06:57,600 --> 01:07:01,400
Speaker 1: the state may compensate and apologies to black residents for

1408
01:07:01,560 --> 01:07:06,000
Speaker 1: generations of harm caused by discriminatory policies. The nine member committee,

1409
01:07:06,040 --> 01:07:08,440
Speaker 1: convened two years ago, has given final approval at this

1410
01:07:08,560 --> 01:07:10,880
Speaker 1: meeting in Oakland to a list of proposals that now

1411
01:07:10,960 --> 01:07:14,960
Speaker 1: go to state lawmakers to consider for reparations legislation. Barbara

1412
01:07:15,040 --> 01:07:18,080
Speaker 1: Lee is actually co sponsoring this bill in Congress to

1413
01:07:18,200 --> 01:07:22,640
Speaker 1: study restitution proposals for African Americans. Reparations are not only

1414
01:07:22,920 --> 01:07:26,160
Speaker 1: morally justifiable, they say, but they have the potential to

1415
01:07:26,240 --> 01:07:31,200
Speaker 1: address long standing racial disparities. One of the recommendations included

1416
01:07:31,280 --> 01:07:36,120
Speaker 1: here in the legislation Emily is payments apparently up to

1417
01:07:36,400 --> 01:07:41,440
Speaker 1: a million dollars in some cases per resident. Now, I

1418
01:07:41,560 --> 01:07:45,200
Speaker 1: think this is always a hot topic. It's what people

1419
01:07:45,280 --> 01:07:49,040
Speaker 1: feel very strongly about, and it's one where I think

1420
01:07:49,080 --> 01:07:54,040
Speaker 1: it really bears scrutiny in terms of not just Black Americans.

1421
01:07:54,080 --> 01:07:57,680
Speaker 2: How do all Americans generally feel about this issue? The

1422
01:07:57,800 --> 01:08:00,000
Speaker 2: polling on it is actually quite complicated.

1423
01:08:00,680 --> 01:08:03,600
Speaker 1: One of the better approximations that I try to come

1424
01:08:03,680 --> 01:08:08,240
Speaker 1: to is affirmative action. So affirmative action effectively is like

1425
01:08:08,320 --> 01:08:11,520
Speaker 1: an in kind, like an in kind acknowledgment of discrimination

1426
01:08:12,080 --> 01:08:14,680
Speaker 1: and of It's almost like in kind reparations. Can we

1427
01:08:14,760 --> 01:08:17,240
Speaker 1: agree on that definition? I think that's fair. Let's go

1428
01:08:17,240 --> 01:08:18,080
Speaker 1: ahead put this out there.

1429
01:08:18,240 --> 01:08:20,919
Speaker 3: That's the explicit ambition of its writers.

1430
01:08:21,320 --> 01:08:21,800
Speaker 2: I agree.

1431
01:08:21,920 --> 01:08:26,000
Speaker 1: And so Yet in California, remember this in twenty twenty,

1432
01:08:26,120 --> 01:08:30,679
Speaker 1: the same time as this so called Reparations Council was formed.

1433
01:08:31,200 --> 01:08:33,400
Speaker 2: Well, guys, on a voter.

1434
01:08:33,360 --> 01:08:39,519
Speaker 1: Levels, fifty seven percent of Californians, some ten million people

1435
01:08:40,040 --> 01:08:45,800
Speaker 1: voted against affirmative action. They voted against bringing affirmative action

1436
01:08:46,000 --> 01:08:49,320
Speaker 1: back in college admissions. So I think that this is

1437
01:08:49,360 --> 01:08:54,320
Speaker 1: a great approximator of how Californians, some of the most liberal,

1438
01:08:54,400 --> 01:08:57,360
Speaker 1: democratic minded people in the country, even they don't agree

1439
01:08:57,640 --> 01:09:01,200
Speaker 1: with affirmative action. And there we're talking about in kind

1440
01:09:01,360 --> 01:09:06,880
Speaker 1: effective racial benefits within the state system. Now we're talking

1441
01:09:06,920 --> 01:09:10,920
Speaker 1: about straight up cash. Now again, whenever it comes to

1442
01:09:11,280 --> 01:09:13,479
Speaker 1: the polling on this issue, it is somewhat complicated, and

1443
01:09:13,520 --> 01:09:15,479
Speaker 1: we had our team do a good job.

1444
01:09:15,560 --> 01:09:15,640
Speaker 6: Here.

1445
01:09:15,720 --> 01:09:18,040
Speaker 1: Let's go and put E three up there please on

1446
01:09:18,200 --> 01:09:21,680
Speaker 1: the screen. To the best of our ability. Whenever it

1447
01:09:21,760 --> 01:09:24,920
Speaker 1: comes to the view of reparations and all of that,

1448
01:09:25,479 --> 01:09:28,800
Speaker 1: some seventy seven percent of Black Americans, compared with eighteen

1449
01:09:28,840 --> 01:09:32,840
Speaker 1: percent of white Americans do support reparations specifically for the

1450
01:09:32,920 --> 01:09:37,960
Speaker 1: descendants of enslaved people all of US adults, though, the

1451
01:09:38,040 --> 01:09:41,120
Speaker 1: answer comes to no sixty eight percent and yes at

1452
01:09:41,200 --> 01:09:45,200
Speaker 1: thirty percent. For White Americans it's eighty and then eighteen

1453
01:09:45,520 --> 01:09:48,680
Speaker 1: for yes. Black Americans it's seventeen No, seventy seven Yes,

1454
01:09:49,000 --> 01:09:52,960
Speaker 1: Hispanic Americans fifty eight thirty nine, Asian Americans sixty five, no,

1455
01:09:53,160 --> 01:09:57,640
Speaker 1: thirty three. Amongst age groups, it's actually unsurprisingly kind of

1456
01:09:57,720 --> 01:10:01,160
Speaker 1: split up fifty two forty five for ages eighteen to

1457
01:10:01,200 --> 01:10:04,240
Speaker 1: twenty nine. The majority, but slight majority saying no, who

1458
01:10:04,320 --> 01:10:06,960
Speaker 1: are younger thirty to forty nine is sixty three to

1459
01:10:07,040 --> 01:10:08,719
Speaker 1: thirty four, seventy four, twenty four.

1460
01:10:08,840 --> 01:10:10,280
Speaker 2: Eighty one and eighteen.

1461
01:10:10,600 --> 01:10:14,040
Speaker 1: Now, in terms of the general polling here, there's some

1462
01:10:14,240 --> 01:10:18,120
Speaker 1: changes whenever it comes to income, which I find kind

1463
01:10:18,160 --> 01:10:21,519
Speaker 1: of interesting. So if you ask lower income Americans, the

1464
01:10:21,600 --> 01:10:24,720
Speaker 1: slight majority are still against fifty four versus forty two.

1465
01:10:25,080 --> 01:10:28,240
Speaker 1: Middle income Americans it's seventy four and twenty four, and

1466
01:10:28,360 --> 01:10:31,639
Speaker 1: upper income Americans seventy two and twenty seven. So lower American,

1467
01:10:31,720 --> 01:10:34,640
Speaker 1: lower income Americans more kind of on board with reparations.

1468
01:10:34,800 --> 01:10:38,720
Speaker 1: Middle and upper middle class Americans generally against it. So

1469
01:10:39,160 --> 01:10:41,680
Speaker 1: I think it's important to put in the context of

1470
01:10:42,080 --> 01:10:45,920
Speaker 1: in general, this is a quote unquote divisive policy on

1471
01:10:46,040 --> 01:10:48,639
Speaker 1: the merits just whenever you look at it in terms

1472
01:10:48,720 --> 01:10:53,360
Speaker 1: of California itself, they have already rejected and voted against

1473
01:10:53,680 --> 01:10:56,760
Speaker 1: this effective type of policy. So then the question is

1474
01:10:56,880 --> 01:11:00,880
Speaker 1: is that is this solving the problem problem that we

1475
01:11:01,040 --> 01:11:03,479
Speaker 1: want to solve, and the problem that we want to

1476
01:11:03,560 --> 01:11:06,920
Speaker 1: solve is that we have had racial discrimination in this

1477
01:11:07,040 --> 01:11:09,959
Speaker 1: country that has manifested itself in economic disparity.

1478
01:11:10,400 --> 01:11:12,680
Speaker 2: Now, what is the best way to do that.

1479
01:11:13,080 --> 01:11:15,439
Speaker 1: If you were to look at this policy, you would

1480
01:11:15,479 --> 01:11:20,040
Speaker 1: posit then that solving racial discrimination through economic inequities that

1481
01:11:20,080 --> 01:11:23,080
Speaker 1: have manifested is to have direct cash payments of some

1482
01:11:23,680 --> 01:11:27,800
Speaker 1: x sum to specifically black Americans, with an acknowledgement that

1483
01:11:28,120 --> 01:11:31,519
Speaker 1: what has happened there is obviously a moral crime. It

1484
01:11:31,600 --> 01:11:35,840
Speaker 1: must be rectified. However, and I would posit this, and

1485
01:11:35,960 --> 01:11:38,439
Speaker 1: this is my kind of view of this. I wish

1486
01:11:38,479 --> 01:11:39,560
Speaker 1: Crystal was here. I would like to hear it.

1487
01:11:39,600 --> 01:11:42,000
Speaker 3: Also what she had to say, we need, we need

1488
01:11:42,080 --> 01:11:43,200
Speaker 3: more white people in this country.

1489
01:11:43,240 --> 01:11:44,000
Speaker 2: You're right, that's right.

1490
01:11:45,040 --> 01:11:46,880
Speaker 1: And actually though, that's what it gets to you is

1491
01:11:47,400 --> 01:11:48,519
Speaker 1: at the end of the day, we are talking about

1492
01:11:48,520 --> 01:11:50,640
Speaker 1: taxpayer money. We are talking about a democratic problem, a

1493
01:11:50,680 --> 01:11:52,640
Speaker 1: small d democratic problem. So we all do kind of

1494
01:11:52,680 --> 01:11:54,320
Speaker 1: get to say as to how we want to address

1495
01:11:54,640 --> 01:11:57,160
Speaker 1: rights and wrongs that are all been done in our name.

1496
01:11:57,960 --> 01:12:00,120
Speaker 2: And the way that I've always looked at is this.

1497
01:12:00,680 --> 01:12:04,639
Speaker 1: If you look at the lower income Americans that I reference,

1498
01:12:05,160 --> 01:12:10,600
Speaker 1: they disproportionately include Hispanic Black and lower middle class and

1499
01:12:10,760 --> 01:12:17,519
Speaker 1: lower class White Americans. The wage gap between lower income white,

1500
01:12:17,680 --> 01:12:21,719
Speaker 1: Hispanic and Black Americans is effectively marginal. So I would

1501
01:12:21,760 --> 01:12:26,120
Speaker 1: pause it then that if you want to address racial inequity,

1502
01:12:26,600 --> 01:12:28,720
Speaker 1: one of the best things that you can do is

1503
01:12:28,840 --> 01:12:32,080
Speaker 1: just simply help all poor people, because what will happen

1504
01:12:32,439 --> 01:12:36,480
Speaker 1: is that you will both increase the livelihood, the opportunity,

1505
01:12:36,560 --> 01:12:39,720
Speaker 1: and the disparity of past wrongs that were done, yes,

1506
01:12:39,800 --> 01:12:43,080
Speaker 1: specifically only to Black Americans, but you will also at

1507
01:12:43,120 --> 01:12:47,559
Speaker 1: the same time help lower middle class, lower income Hispanic

1508
01:12:47,680 --> 01:12:51,519
Speaker 1: and white Americans. And instead of pitting set groups against

1509
01:12:51,560 --> 01:12:54,599
Speaker 1: each other, you actually end up helping everybody. Now, of course,

1510
01:12:54,640 --> 01:12:58,240
Speaker 1: this is better easier said than done. It involves possibly

1511
01:12:58,400 --> 01:13:02,040
Speaker 1: minimum wage increases, maybe it involves cast transfers, maybe it

1512
01:13:02,200 --> 01:13:06,360
Speaker 1: involves tax credits, a variety of myriad different ways that

1513
01:13:06,439 --> 01:13:07,200
Speaker 1: we could go about this.

1514
01:13:07,720 --> 01:13:10,160
Speaker 2: But that's kind of the framework where I'm coming at

1515
01:13:10,200 --> 01:13:10,479
Speaker 2: it from.

1516
01:13:10,880 --> 01:13:13,040
Speaker 1: And I would say also that the framework that I'm

1517
01:13:13,040 --> 01:13:15,519
Speaker 1: coming at it from is dramatically more politically popular.

1518
01:13:15,760 --> 01:13:17,760
Speaker 2: And why does political popularity.

1519
01:13:17,280 --> 01:13:19,400
Speaker 1: Matter, Because we're living in a democracy, we don't live

1520
01:13:19,439 --> 01:13:20,760
Speaker 1: in a unilateral dictatorship.

1521
01:13:21,200 --> 01:13:22,120
Speaker 2: I'm curious what you think.

1522
01:13:22,360 --> 01:13:22,519
Speaker 3: You know.

1523
01:13:22,720 --> 01:13:24,920
Speaker 4: I think two things are absolutely true, and they can

1524
01:13:25,000 --> 01:13:27,599
Speaker 4: be true at the same time. One that generational wealth

1525
01:13:27,640 --> 01:13:30,759
Speaker 4: disparities are very real and are very directly and obviously

1526
01:13:30,880 --> 01:13:34,840
Speaker 4: the results of explicit white supremacist discrimination policies that were

1527
01:13:34,840 --> 01:13:38,400
Speaker 4: baked into our constitutional system for far too long. On

1528
01:13:38,439 --> 01:13:40,599
Speaker 4: the other hand, I think it's also true that there's

1529
01:13:40,640 --> 01:13:43,360
Speaker 4: no way to meet out a reparations policy with a

1530
01:13:43,479 --> 01:13:45,680
Speaker 4: semblance of justice, because at the end of the day,

1531
01:13:46,600 --> 01:13:49,960
Speaker 4: proving this is going to be extremely difficult in a

1532
01:13:50,000 --> 01:13:54,000
Speaker 4: country where everyone is so mixed and has been mixed

1533
01:13:54,080 --> 01:13:56,840
Speaker 4: for years and years and years and years. So what

1534
01:13:57,200 --> 01:14:00,519
Speaker 4: justifies why one person there are people who are We're

1535
01:14:00,520 --> 01:14:05,599
Speaker 4: getting into the grossness, the just absolutely repulsive, one drop

1536
01:14:05,840 --> 01:14:09,360
Speaker 4: disgusting type racial science at a certain point, because what

1537
01:14:09,680 --> 01:14:12,720
Speaker 4: justifies somebody who is completely white, probably looks like me,

1538
01:14:13,000 --> 01:14:16,479
Speaker 4: who's able to trace their ancestry back to slavery? And

1539
01:14:16,560 --> 01:14:20,720
Speaker 4: that's California does directly redlining in this proposal that you

1540
01:14:20,800 --> 01:14:23,040
Speaker 4: get X number of money up a certain year. If

1541
01:14:23,080 --> 01:14:26,280
Speaker 4: you're for each year you were affected by redlining policy

1542
01:14:26,320 --> 01:14:30,200
Speaker 4: in California, probably easy to prove, and it can probably

1543
01:14:30,280 --> 01:14:31,880
Speaker 4: be proved more directly.

1544
01:14:31,640 --> 01:14:32,799
Speaker 3: Than slavery itself.

1545
01:14:32,960 --> 01:14:38,320
Speaker 4: But you're then going to take from Hispanic taxpayers money

1546
01:14:38,760 --> 01:14:41,000
Speaker 4: and give them you may be forced to give them

1547
01:14:41,080 --> 01:14:44,000
Speaker 4: to people who look exactly like me and whose family

1548
01:14:44,880 --> 01:14:46,840
Speaker 4: has been in this country long enough to have been,

1549
01:14:47,040 --> 01:14:50,280
Speaker 4: for instance, likely on many sides of this conflict.

1550
01:14:50,360 --> 01:14:53,559
Speaker 1: This is exactly why I think that trying to parse

1551
01:14:53,600 --> 01:14:57,160
Speaker 1: all this is so ludicrous. And once again I would say,

1552
01:14:57,439 --> 01:15:00,599
Speaker 1: I am not against helping poor black people or all

1553
01:15:00,680 --> 01:15:03,560
Speaker 1: poor people in this country. In fact, though, and this

1554
01:15:03,720 --> 01:15:05,759
Speaker 1: is why you know, trying to parse this and I've

1555
01:15:05,800 --> 01:15:08,479
Speaker 1: never necessarily wanted to, but I think, you know, possibly

1556
01:15:08,840 --> 01:15:12,200
Speaker 1: are forced to. Is you know what, there's better evidence

1557
01:15:12,280 --> 01:15:16,200
Speaker 1: to say that the worst economic hit that ever happened

1558
01:15:16,320 --> 01:15:20,439
Speaker 1: to black Americans was the two thousand and eight recession. Actually,

1559
01:15:20,520 --> 01:15:23,080
Speaker 1: the greatest wipeout of black wealth in the history of

1560
01:15:23,080 --> 01:15:25,640
Speaker 1: the United States happened in two thousand and eight. It

1561
01:15:25,720 --> 01:15:29,519
Speaker 1: actually was not you know, necessarily redlining policies from Jim Crow.

1562
01:15:29,560 --> 01:15:32,200
Speaker 1: As we're discussing repulsive of that bait. I'm not even

1563
01:15:32,240 --> 01:15:35,040
Speaker 1: necessarily comparing applestorm. What I'm saying, though, is that whenever

1564
01:15:35,160 --> 01:15:38,240
Speaker 1: we talk then about addressing you know, black wealth and

1565
01:15:39,840 --> 01:15:42,880
Speaker 1: making it so that we can restore people to some

1566
01:15:43,120 --> 01:15:47,560
Speaker 1: sort of equality, not necessarily in terms of outcome, but

1567
01:15:47,680 --> 01:15:51,240
Speaker 1: in terms of opportunity, I would again then have to

1568
01:15:51,320 --> 01:15:54,439
Speaker 1: come back to the idea that we should look at

1569
01:15:54,600 --> 01:15:57,280
Speaker 1: the policies, the actual policies that led to the wealth

1570
01:15:57,360 --> 01:15:59,599
Speaker 1: dispairity that we are right now, some of which include

1571
01:15:59,640 --> 01:16:01,840
Speaker 1: but Jim Crow, but also now we're now we're talking

1572
01:16:01,840 --> 01:16:03,840
Speaker 1: about two thousand and eight, which was a universalist kind

1573
01:16:03,840 --> 01:16:06,800
Speaker 1: of screw you to middle class into poor people, and

1574
01:16:06,960 --> 01:16:09,879
Speaker 1: then say, well, is there some way you can normalize

1575
01:16:09,920 --> 01:16:13,639
Speaker 1: opportunity here across the board and by doing so in general,

1576
01:16:13,680 --> 01:16:16,479
Speaker 1: as I've always come back to, I recommend Matt Brunegg

1577
01:16:16,520 --> 01:16:18,599
Speaker 1: if anybody wants to go and look at it has

1578
01:16:18,960 --> 01:16:21,599
Speaker 1: frequently looked at where actual wealth gaps are.

1579
01:16:21,880 --> 01:16:23,880
Speaker 2: My perfect personal favorite statistic.

1580
01:16:23,640 --> 01:16:26,000
Speaker 1: Is you'll often hear in the media like the white

1581
01:16:26,080 --> 01:16:29,320
Speaker 1: and the Black wealth gap. Well, the truth is, sadly,

1582
01:16:29,680 --> 01:16:32,080
Speaker 1: is that the wealth gap between white and Black Americans

1583
01:16:32,120 --> 01:16:34,880
Speaker 1: on an overall basis, the vast majority of that gap

1584
01:16:35,240 --> 01:16:37,640
Speaker 1: is between the top ten percent of white people and

1585
01:16:37,720 --> 01:16:39,400
Speaker 1: the top ten percent of black people. As in the

1586
01:16:39,439 --> 01:16:42,200
Speaker 1: top ten percent earners of whites out earned dramatically the

1587
01:16:42,280 --> 01:16:44,120
Speaker 1: top ten percent of black But if you take the

1588
01:16:44,240 --> 01:16:48,880
Speaker 1: median earner between whites and blacks, Hispanics and others. Like

1589
01:16:48,960 --> 01:16:51,559
Speaker 1: I said, the gap between those on a wage level

1590
01:16:51,920 --> 01:16:54,240
Speaker 1: is really not that big. And so if you want

1591
01:16:54,280 --> 01:16:57,439
Speaker 1: to help the most amount of people, increasing an overall

1592
01:16:57,479 --> 01:17:00,760
Speaker 1: wage in the economy has the actual benefit that we

1593
01:17:00,880 --> 01:17:01,360
Speaker 1: all come.

1594
01:17:01,320 --> 01:17:03,599
Speaker 4: To well, And we can't even have honest conversations about

1595
01:17:03,640 --> 01:17:06,040
Speaker 4: what's happened with entitlements and welfare state, and I know

1596
01:17:06,120 --> 01:17:08,840
Speaker 4: that gets into really hairy stuff. But Thomas Sowell can

1597
01:17:08,920 --> 01:17:11,479
Speaker 4: talk about this, Walter Williams can write about this, and

1598
01:17:11,520 --> 01:17:13,720
Speaker 4: they get cast as like white supremacists for raising some

1599
01:17:14,280 --> 01:17:18,600
Speaker 4: entirely legitimate questions about whether white liberals have wrecked the

1600
01:17:18,640 --> 01:17:22,080
Speaker 4: black community with well intentioned but harmful policies that don't

1601
01:17:22,120 --> 01:17:24,920
Speaker 4: have for instance, that aren't temporary enough, that aren't with

1602
01:17:25,040 --> 01:17:26,880
Speaker 4: the right incentives. And a lot of our audience probably

1603
01:17:26,920 --> 01:17:29,040
Speaker 4: disagrees with me on that. All I'm saying, though, is

1604
01:17:29,080 --> 01:17:32,720
Speaker 4: that we cannot even talk about the government structures that

1605
01:17:32,920 --> 01:17:34,840
Speaker 4: in some ways have been contributing to this, and I

1606
01:17:34,880 --> 01:17:39,760
Speaker 4: think very clearly, because we'll do, it's just you get

1607
01:17:39,840 --> 01:17:42,160
Speaker 4: knocked down as a bigot or whatever, even if you're

1608
01:17:42,200 --> 01:17:45,760
Speaker 4: a black economist, like a celebrated black economist, for having

1609
01:17:45,840 --> 01:17:48,519
Speaker 4: that conversation and again, the theme of the whole episode

1610
01:17:48,520 --> 01:17:51,519
Speaker 4: today is that we can't even perform basic functions as

1611
01:17:51,560 --> 01:17:55,080
Speaker 4: a society because we're so bogged down in these tribal divisions.

1612
01:17:55,160 --> 01:17:57,479
Speaker 2: Correct. Well, we do have one update though for you.

1613
01:17:57,640 --> 01:17:59,720
Speaker 1: Whenever it comes to these reparations, they probably are not

1614
01:17:59,760 --> 01:18:01,120
Speaker 1: going to app and let's gohead and put this up

1615
01:18:01,120 --> 01:18:03,680
Speaker 1: there on the screen, despite the fact that they have

1616
01:18:03,800 --> 01:18:06,639
Speaker 1: been proposed and all of that. Even the San Francisco

1617
01:18:06,760 --> 01:18:09,240
Speaker 1: Gate here is saying quote why they are likely doomed.

1618
01:18:09,640 --> 01:18:12,519
Speaker 1: One of the reasons why is that they say, whenever

1619
01:18:12,600 --> 01:18:14,760
Speaker 1: you've seen his way to make amends. The task force

1620
01:18:14,800 --> 01:18:18,360
Speaker 1: has spent the last two years. However, the package that

1621
01:18:18,439 --> 01:18:21,080
Speaker 1: is being discussed, even in terms of San Francisco, is

1622
01:18:21,160 --> 01:18:23,479
Speaker 1: some sort of one time payments, and all of that,

1623
01:18:23,920 --> 01:18:26,000
Speaker 1: even if they are formally adopted, never go into effect.

1624
01:18:26,120 --> 01:18:29,320
Speaker 1: Is because of the US Supreme Court. What they say

1625
01:18:29,640 --> 01:18:32,479
Speaker 1: is that the simplest form in terms of benefits is

1626
01:18:32,680 --> 01:18:36,759
Speaker 1: likely dead upon arrival because the idea of a particular

1627
01:18:36,880 --> 01:18:40,519
Speaker 1: race getting payments would almost immediately and certainly get struck down.

1628
01:18:40,640 --> 01:18:43,519
Speaker 1: This is Gabriel Chin, who is a law professor, quoted

1629
01:18:43,720 --> 01:18:46,360
Speaker 1: from the UC Davis most likely to be at play

1630
01:18:46,479 --> 01:18:49,479
Speaker 1: would be the Equal Protections clause in the fourteenth Amendment,

1631
01:18:49,920 --> 01:18:52,840
Speaker 1: which I speak specifically speaking down was say that any

1632
01:18:52,880 --> 01:18:56,840
Speaker 1: policy that sort people by racial categories known as racial classifications,

1633
01:18:57,040 --> 01:18:59,719
Speaker 1: are typically seen as a violation of the Equal Protection

1634
01:18:59,760 --> 01:19:04,479
Speaker 1: claus unless governments can provide quote a strong justification for them.

1635
01:19:04,600 --> 01:19:07,160
Speaker 1: So very likely even if this were to try and

1636
01:19:07,240 --> 01:19:09,800
Speaker 1: to go into effect, it would face blockage at the

1637
01:19:09,920 --> 01:19:10,719
Speaker 1: US Supreme Court.

1638
01:19:10,800 --> 01:19:11,559
Speaker 2: But who knows.

1639
01:19:11,800 --> 01:19:14,200
Speaker 1: We never know where we will get in terms of that,

1640
01:19:14,360 --> 01:19:16,160
Speaker 1: and even if they don't get implemented, the fact that

1641
01:19:16,160 --> 01:19:18,040
Speaker 1: they're on the table, I think for the discussion that

1642
01:19:18,080 --> 01:19:21,719
Speaker 1: we try to handle sensitively here at breaking points.

1643
01:19:21,800 --> 01:19:26,519
Speaker 2: So emily, what are you taking a look at?

1644
01:19:26,760 --> 01:19:29,800
Speaker 4: Well, just yesterday there was a flurry of headlines about

1645
01:19:29,800 --> 01:19:33,840
Speaker 4: Republican efforts to quote pan books. New York Magazine rolled

1646
01:19:33,840 --> 01:19:36,040
Speaker 4: out a new cover story on the topic with an

1647
01:19:36,240 --> 01:19:40,000
Speaker 4: unintentionally hilarious image showing the words quote I will not

1648
01:19:40,160 --> 01:19:43,519
Speaker 4: say gay, written over and over and over again on

1649
01:19:43,720 --> 01:19:44,440
Speaker 4: a chalkboard.

1650
01:19:44,760 --> 01:19:45,920
Speaker 3: This is a great place to start.

1651
01:19:46,240 --> 01:19:48,559
Speaker 4: Notice the wording from the magazine in this tweet about

1652
01:19:48,560 --> 01:19:52,439
Speaker 4: the story, quote convinced schools are brainwashing kids to be

1653
01:19:52,560 --> 01:19:57,000
Speaker 4: left wingers conservatives are seizing control of the American classroom.

1654
01:19:57,439 --> 01:19:59,280
Speaker 3: This is somewhat amusing because.

1655
01:19:59,080 --> 01:20:01,719
Speaker 4: The story is authored Jonathan Chate is forced to concede

1656
01:20:01,800 --> 01:20:04,479
Speaker 4: some three quarters of the way through his piece that yes,

1657
01:20:04,880 --> 01:20:07,560
Speaker 4: schools now instruct students to abide by the values of

1658
01:20:07,720 --> 01:20:09,960
Speaker 4: political liberalism on a wide scale.

1659
01:20:10,240 --> 01:20:13,160
Speaker 3: So why as is the scale? As Chait himself.

1660
01:20:12,920 --> 01:20:16,760
Speaker 4: Mentions, the country's largest teachers union is explicitly working to

1661
01:20:16,880 --> 01:20:20,320
Speaker 4: include critical race theory, for instance, in curricula from.

1662
01:20:20,400 --> 01:20:24,160
Speaker 3: Pre K through twelfth grade pre K. That's literally in

1663
01:20:24,280 --> 01:20:24,800
Speaker 3: his article.

1664
01:20:25,120 --> 01:20:28,280
Speaker 4: So right there, he's dispelled the myth of his own

1665
01:20:28,479 --> 01:20:32,320
Speaker 4: premise that Republicans are fantasizing about some left wing takeover

1666
01:20:32,479 --> 01:20:35,240
Speaker 4: of education. It's not a fantasy. They are correct that

1667
01:20:35,320 --> 01:20:39,360
Speaker 4: it's happening. But whether it's good or bad is actually

1668
01:20:39,400 --> 01:20:41,960
Speaker 4: the question. This is the case with the corporate media

1669
01:20:42,040 --> 01:20:45,680
Speaker 4: narrative on this topic time and time again. Hilariously, the

1670
01:20:45,720 --> 01:20:48,639
Speaker 4: New York Times reported last month that a billionaire desantist

1671
01:20:48,640 --> 01:20:50,880
Speaker 4: doner was cooling on the governor in part because of

1672
01:20:51,120 --> 01:20:54,400
Speaker 4: these alleged book bands in Florida. The media spin is

1673
01:20:54,479 --> 01:20:56,960
Speaker 4: straight from the Democratic Party talking points, and it's both

1674
01:20:57,000 --> 01:21:01,240
Speaker 4: incredibly stupid and incredibly powerful. It is, of course, literally

1675
01:21:01,320 --> 01:21:04,520
Speaker 4: true that Republicans want to ban some books from school libraries.

1676
01:21:04,800 --> 01:21:07,880
Speaker 4: It is true that some legislative proposals would target books

1677
01:21:07,920 --> 01:21:11,120
Speaker 4: that are probably fined for those libraries. What's missing is

1678
01:21:11,160 --> 01:21:15,000
Speaker 4: the context about one what's in the targeted books, and

1679
01:21:15,160 --> 01:21:18,680
Speaker 4: two that random legislators introduce imperfect and crazy bills that

1680
01:21:18,760 --> 01:21:21,280
Speaker 4: go absolutely nowhere every single day, and the media doesn't

1681
01:21:21,320 --> 01:21:24,000
Speaker 4: act like they represent a real threat unless it's convenient

1682
01:21:24,040 --> 01:21:27,360
Speaker 4: for the left. Indiana Republican Governor Eric Holcomb signed one

1683
01:21:27,400 --> 01:21:30,839
Speaker 4: of these book banning bills just yesterday. Here's how Gannett's

1684
01:21:30,840 --> 01:21:33,960
Speaker 4: Indie Star reported on that quote. The new law requires

1685
01:21:33,960 --> 01:21:37,479
Speaker 4: schools to publish their library catalogs online, create a process

1686
01:21:37,560 --> 01:21:40,679
Speaker 4: in which community members can request certain books be banned,

1687
01:21:40,880 --> 01:21:43,840
Speaker 4: and removes the legal defense librarians currently have to claim

1688
01:21:43,880 --> 01:21:47,360
Speaker 4: a book was available for quote educational purposes if felony

1689
01:21:47,439 --> 01:21:50,080
Speaker 4: charges a rose against them for making available books that

1690
01:21:50,080 --> 01:21:52,080
Speaker 4: are harmful to minors. The first part of that, by

1691
01:21:52,120 --> 01:21:55,519
Speaker 4: the way, is democratizing school libraries small d but the

1692
01:21:55,600 --> 01:21:58,920
Speaker 4: quote harmful to minders standard is thankfully a very high

1693
01:21:59,000 --> 01:22:02,479
Speaker 4: bar for litigation, and according to Indiana's code, the book

1694
01:22:02,520 --> 01:22:07,439
Speaker 4: would need to contain quote nudity, sexual content, or sadomasochistic abuse,

1695
01:22:08,160 --> 01:22:12,479
Speaker 4: persuasiveness for miners to engage in sexual activities, offensive content,

1696
01:22:12,600 --> 01:22:15,719
Speaker 4: to community standards for adults considering what's suitable to miners

1697
01:22:16,000 --> 01:22:19,519
Speaker 4: to see content void of quote, serious literary, artistic, political,

1698
01:22:19,600 --> 01:22:22,400
Speaker 4: or scientific value for kids. Now, those things are all

1699
01:22:22,439 --> 01:22:24,880
Speaker 4: broad enough that they're open for interpretation, but they're not

1700
01:22:25,280 --> 01:22:27,120
Speaker 4: crazy guidelines as a starting point.

1701
01:22:27,400 --> 01:22:29,760
Speaker 3: So what prompted all of this will As in.

1702
01:22:29,840 --> 01:22:33,559
Speaker 4: Many states around the country, the book Gender Queer freaked

1703
01:22:33,640 --> 01:22:37,879
Speaker 4: parents out Why the book is full of nude cartoon

1704
01:22:38,240 --> 01:22:42,720
Speaker 4: teenagers having intercourse, giving each other oral sex, and more. Really,

1705
01:22:42,880 --> 01:22:46,439
Speaker 4: it is Indiana's ACLU trumpeted Gender Queer is the state's

1706
01:22:46,520 --> 01:22:49,440
Speaker 4: most challenged book of twenty twenty two in a Sunday.

1707
01:22:49,120 --> 01:22:52,120
Speaker 3: Tweet, they're not making the argument that they think they are.

1708
01:22:52,520 --> 01:22:55,479
Speaker 4: In fact, pen America's data shows quote Gender Queer is

1709
01:22:55,520 --> 01:22:58,800
Speaker 4: the most challenged book nationwide. Last Ball was the most

1710
01:22:58,880 --> 01:23:02,320
Speaker 4: challenged book, followed by a book called Flamer. In other words,

1711
01:23:02,479 --> 01:23:06,680
Speaker 4: the so called bands are targeting legitimately inappropriate material. You

1712
01:23:06,760 --> 01:23:08,920
Speaker 4: can see it on the screen if you're not watching

1713
01:23:09,040 --> 01:23:13,120
Speaker 4: and you're listening. Essentially, it's what I described earlier, cartoon

1714
01:23:13,240 --> 01:23:16,960
Speaker 4: teenagers nude having sex with each other, talking about extremely

1715
01:23:17,040 --> 01:23:20,920
Speaker 4: sexually explicit things. According to Axios, now Biden's campaign has

1716
01:23:20,960 --> 01:23:22,640
Speaker 4: evidence that pinning book bands on.

1717
01:23:22,720 --> 01:23:25,600
Speaker 3: The GOP is pulling really well for Democrats.

1718
01:23:25,920 --> 01:23:28,360
Speaker 4: So expect to hear way more about these book bands

1719
01:23:28,400 --> 01:23:29,400
Speaker 4: in the next year and a half.

1720
01:23:29,760 --> 01:23:32,040
Speaker 3: And here's where it's important to just cut out the nonsense.

1721
01:23:32,360 --> 01:23:35,240
Speaker 4: The media will blame Republicans for stoking this culture war

1722
01:23:35,360 --> 01:23:39,240
Speaker 4: battle while ignoring, for instance, Muslim parents and dearborn fighting

1723
01:23:39,320 --> 01:23:43,160
Speaker 4: against genderqueer, and then the teachers' unions fighting against those

1724
01:23:43,280 --> 01:23:47,080
Speaker 4: parents to implement debunked history or gender career, or bring

1725
01:23:47,160 --> 01:23:49,439
Speaker 4: the sixteen nineteen project to their community and put it

1726
01:23:49,520 --> 01:23:52,240
Speaker 4: in their public schools. But the left stokes this cultural

1727
01:23:52,320 --> 01:23:55,880
Speaker 4: war by putting porn in middle school and high school libraries,

1728
01:23:56,080 --> 01:23:59,160
Speaker 4: a critical race theory for five year olds, then defending

1729
01:23:59,200 --> 01:24:02,120
Speaker 4: it with the ACE CLU and with unions. The rights

1730
01:24:02,200 --> 01:24:04,640
Speaker 4: pushback is nowhere near perfect. But if we're going to

1731
01:24:04,680 --> 01:24:06,960
Speaker 4: wrap it into this quote book band narrative and make

1732
01:24:07,040 --> 01:24:09,920
Speaker 4: it sound like this is all just about censoring, Tony

1733
01:24:10,000 --> 01:24:13,800
Speaker 4: Morrison we're making everything so much worse. As Sager pointed

1734
01:24:13,840 --> 01:24:17,719
Speaker 4: out last week, history scores are plummeting among American students.

1735
01:24:18,000 --> 01:24:20,400
Speaker 4: It'd be really easy for the unions and special interest

1736
01:24:20,479 --> 01:24:24,160
Speaker 4: groups to just seed the point on these glaringly inappropriate books.

1737
01:24:23,960 --> 01:24:25,800
Speaker 3: And move on. That's so easy to do.

1738
01:24:26,240 --> 01:24:28,240
Speaker 4: They put those books there, they can get them out.

1739
01:24:28,520 --> 01:24:32,519
Speaker 4: But because these institutions are captured by mediocre ideologues, they'll

1740
01:24:32,560 --> 01:24:34,560
Speaker 4: cling to the porn, rile up parents with good and

1741
01:24:34,600 --> 01:24:37,880
Speaker 4: bad consequences, and do a really, really bad job actually

1742
01:24:37,960 --> 01:24:38,679
Speaker 4: teaching students.

1743
01:24:39,040 --> 01:24:41,919
Speaker 1: And if you want to hear my reaction to Crystal's monologue,

1744
01:24:41,920 --> 01:24:49,000
Speaker 1: become a premium subscriber today at Breakingpoints dot com. Okay, Inevitably,

1745
01:24:49,120 --> 01:24:51,360
Speaker 1: after almost every single mass shooting, we hear the same

1746
01:24:51,400 --> 01:24:54,160
Speaker 1: response from our media and the Democratic establishment, need more

1747
01:24:54,200 --> 01:24:56,080
Speaker 1: gun control, gun controls the only answer.

1748
01:24:56,400 --> 01:24:58,280
Speaker 2: President Biden is nearly on repeat with it.

1749
01:24:58,360 --> 01:25:00,320
Speaker 1: After a spate of mass shootings in recent months, and

1750
01:25:00,360 --> 01:25:02,720
Speaker 1: you get basically the same treatment from the media. I

1751
01:25:02,840 --> 01:25:04,680
Speaker 1: want to also acknowledge that a lot of people who

1752
01:25:04,720 --> 01:25:06,479
Speaker 1: watch the show probably agree with that.

1753
01:25:06,800 --> 01:25:08,040
Speaker 2: But something I've always.

1754
01:25:07,760 --> 01:25:10,160
Speaker 1: Tried so hard to emphasize here is it's just not

1755
01:25:10,280 --> 01:25:12,559
Speaker 1: that easy. If it was, then we would have done

1756
01:25:12,600 --> 01:25:15,000
Speaker 1: it already. It's not a matter of the NRA or

1757
01:25:15,040 --> 01:25:17,480
Speaker 1: the gun lobby. It has to do with our Constitution,

1758
01:25:17,840 --> 01:25:20,839
Speaker 1: the Second Amendment, a right to self defense, and ultimately

1759
01:25:21,080 --> 01:25:23,200
Speaker 1: a level of authority that we are willing to provide

1760
01:25:23,240 --> 01:25:26,200
Speaker 1: our government over our lives. In my estimation, the gun

1761
01:25:26,280 --> 01:25:30,040
Speaker 1: debate has amounted to this. Mass shootings are seen uniquely,

1762
01:25:30,479 --> 01:25:33,440
Speaker 1: maybe rightfully, this is the most visible sick and American

1763
01:25:33,640 --> 01:25:37,200
Speaker 1: unique phenomenon that has been conflated, though somehow publicly, with

1764
01:25:37,439 --> 01:25:39,559
Speaker 1: all gun violence in the eyes of the non gun

1765
01:25:39,640 --> 01:25:41,720
Speaker 1: owning public. So let's start with a review of what

1766
01:25:41,800 --> 01:25:44,160
Speaker 1: I've always touched on in the past, mass shootings.

1767
01:25:44,400 --> 01:25:45,880
Speaker 2: What are they and what are they not?

1768
01:25:46,360 --> 01:25:48,519
Speaker 1: If you don't follow this much, you probably would forgiven

1769
01:25:48,600 --> 01:25:50,880
Speaker 1: for thinking that mass shooting statistics cited by the media

1770
01:25:51,360 --> 01:25:53,160
Speaker 1: entail school shootings or the shootings that.

1771
01:25:53,240 --> 01:25:55,240
Speaker 2: Just occurred like at the mall in Allen, Texas.

1772
01:25:55,479 --> 01:25:57,559
Speaker 1: The actual definition, though, is actually up to the government

1773
01:25:57,720 --> 01:25:59,600
Speaker 1: and when the government is involved, and you already know

1774
01:25:59,680 --> 01:26:02,840
Speaker 1: that politics is involved. President Obama actually forced the FBI

1775
01:26:02,920 --> 01:26:06,320
Speaker 1: twenty thirteen to adopt this definition. A single attack in

1776
01:26:06,360 --> 01:26:09,000
Speaker 1: which three or more victims are killed. On its face,

1777
01:26:09,080 --> 01:26:12,040
Speaker 1: I guess it sounds reasonable, but is it? Consider us

1778
01:26:12,160 --> 01:26:14,640
Speaker 1: firearm homicides and the type that they are involved in.

1779
01:26:15,000 --> 01:26:19,160
Speaker 1: Mass shooting accounts for only point one percent of all debts. Sadly,

1780
01:26:19,280 --> 01:26:22,320
Speaker 1: the vast majority of homicides, especially those that involve three

1781
01:26:22,360 --> 01:26:24,880
Speaker 1: or more people, are those that involve a family member

1782
01:26:25,160 --> 01:26:28,519
Speaker 1: or an acquaintance, or by an intimate partner. A stranger

1783
01:26:28,640 --> 01:26:31,640
Speaker 1: killing another stranger is only about twenty five percent of

1784
01:26:31,680 --> 01:26:35,400
Speaker 1: all homicide, and that is almost all crime. Furthermore, what

1785
01:26:35,720 --> 01:26:38,840
Speaker 1: weapons do they use? When we hear calls for gun control,

1786
01:26:38,920 --> 01:26:42,160
Speaker 1: they are obviously focusing on assault weapons bans. Here too,

1787
01:26:42,400 --> 01:26:45,679
Speaker 1: data is important. Handguns alone account for fifty six percent

1788
01:26:45,720 --> 01:26:48,639
Speaker 1: of all homicides. If you include their involvement with a rifle,

1789
01:26:48,840 --> 01:26:51,840
Speaker 1: you would actually add a further twenty four percent. A

1790
01:26:51,960 --> 01:26:55,120
Speaker 1: so called handgun ban is really the only type of

1791
01:26:55,200 --> 01:26:58,920
Speaker 1: ban which would work somewhat, and nobody proposes that. Why

1792
01:26:59,240 --> 01:27:03,400
Speaker 1: because it's completely unconstitutional. In fact, as I've laid here before,

1793
01:27:03,720 --> 01:27:06,760
Speaker 1: there is absolutely zero statistical evidence to say that an

1794
01:27:06,760 --> 01:27:11,559
Speaker 1: assault weapons ban would have any impact whatsoever on mass shootings.

1795
01:27:11,760 --> 01:27:13,960
Speaker 1: The other pet policy proposal of the establishment and the

1796
01:27:14,040 --> 01:27:17,160
Speaker 1: media is a high capacity magazine ban, the theory being

1797
01:27:17,200 --> 01:27:19,439
Speaker 1: that shooters would need to pause and to reload. This

1798
01:27:19,520 --> 01:27:22,200
Speaker 1: would allow first responders critical moments as well as reduce

1799
01:27:22,240 --> 01:27:24,720
Speaker 1: the initial amount of debts. Again, though, here's the thing,

1800
01:27:25,040 --> 01:27:28,599
Speaker 1: there is no statistical evidence on a societal wide scale

1801
01:27:28,720 --> 01:27:31,439
Speaker 1: that this would have any impact on mass shootings. I

1802
01:27:31,520 --> 01:27:33,439
Speaker 1: want to provide empathy for people who think all of

1803
01:27:33,520 --> 01:27:36,479
Speaker 1: this stuff will work, because I really do understand how

1804
01:27:36,560 --> 01:27:38,680
Speaker 1: one could be led to believe it. It takes an

1805
01:27:38,840 --> 01:27:41,720
Speaker 1: undue amount of research for the average citizen to see

1806
01:27:41,720 --> 01:27:43,559
Speaker 1: the actual facts surrounding this issue.

1807
01:27:43,840 --> 01:27:44,639
Speaker 2: The facts aside.

1808
01:27:44,880 --> 01:27:46,719
Speaker 1: I think what the gun debate does more than anything

1809
01:27:46,880 --> 01:27:48,960
Speaker 1: is show how much we are talking past each other

1810
01:27:49,360 --> 01:27:52,600
Speaker 1: and how little that we really understand our own countrymen.

1811
01:27:53,080 --> 01:27:56,760
Speaker 1: Gun ownership is probably one of the best single signifiers

1812
01:27:57,000 --> 01:28:00,479
Speaker 1: in America today for party identification. Consider this map side

1813
01:28:00,520 --> 01:28:02,840
Speaker 1: by side from twenty sixteen. On the left is what

1814
01:28:02,920 --> 01:28:05,040
Speaker 1: the electoral college would look like if only people who

1815
01:28:05,080 --> 01:28:07,320
Speaker 1: didn't own a gun were voters. As you can see,

1816
01:28:07,439 --> 01:28:09,799
Speaker 1: every single state save for one would.

1817
01:28:09,560 --> 01:28:10,200
Speaker 2: Go for Hillary.

1818
01:28:10,520 --> 01:28:12,280
Speaker 1: On the right is what the map would look like

1819
01:28:12,360 --> 01:28:14,840
Speaker 1: if only people who voted who had guns had in

1820
01:28:14,920 --> 01:28:18,080
Speaker 1: twenty sixteen, Trump would win all but one state. That

1821
01:28:18,360 --> 01:28:21,040
Speaker 1: about says it all, doesn't it. Gun owners and non

1822
01:28:21,120 --> 01:28:24,320
Speaker 1: gun owners are completely at odds politically, But what I

1823
01:28:24,400 --> 01:28:28,160
Speaker 1: would argue is downstream from culture. For the non gun owners,

1824
01:28:28,360 --> 01:28:31,639
Speaker 1: guns are nextibly linked to violence, both by the state

1825
01:28:31,720 --> 01:28:35,080
Speaker 1: and by criminals, including mass shootings. Connotations around them are

1826
01:28:35,200 --> 01:28:38,400
Speaker 1: dark better left unsaid. In most cases, outside the realm

1827
01:28:38,479 --> 01:28:41,920
Speaker 1: of polite society, banning them seems just like the easiest option.

1828
01:28:42,280 --> 01:28:45,880
Speaker 2: Any discussion of the Second Amendment sounds ludicrous to this person.

1829
01:28:46,680 --> 01:28:48,400
Speaker 2: For gun owners, it's the opposite.

1830
01:28:48,720 --> 01:28:51,200
Speaker 1: Guns certainly are linked to violence, but they are also

1831
01:28:51,240 --> 01:28:52,960
Speaker 1: to other things that have nothing to do with violence,

1832
01:28:53,280 --> 01:28:57,200
Speaker 1: like hunting or bonding with family members, recreation as a tool,

1833
01:28:57,479 --> 01:28:58,519
Speaker 1: sometimes self defense.

1834
01:28:58,920 --> 01:29:00,559
Speaker 2: Much of this, too, comes from a rural and an

1835
01:29:00,680 --> 01:29:03,040
Speaker 2: urban divide. When you're out in the middle of the country.

1836
01:29:02,760 --> 01:29:05,559
Speaker 1: You're forty five minutes from authorities, possibly without cell service,

1837
01:29:05,840 --> 01:29:08,519
Speaker 1: the ability to defend yourself, either from another person or

1838
01:29:08,640 --> 01:29:11,759
Speaker 1: from a wild animal, actually becomes very much more acute

1839
01:29:11,840 --> 01:29:14,040
Speaker 1: compared to a city, where the response time is less

1840
01:29:14,040 --> 01:29:16,719
Speaker 1: than ten minutes from authorities and people are literally everywhere.

1841
01:29:17,040 --> 01:29:19,639
Speaker 1: In these cases, you can see why the other would

1842
01:29:19,680 --> 01:29:22,479
Speaker 1: react viscerally around the gun debate to each other, and

1843
01:29:22,560 --> 01:29:24,439
Speaker 1: how the lived reality of both on a.

1844
01:29:24,479 --> 01:29:27,400
Speaker 2: Day to day basis clashes so hard with others.

1845
01:29:27,760 --> 01:29:30,559
Speaker 1: Personally, I think it's important to look at things this way,

1846
01:29:30,800 --> 01:29:33,800
Speaker 1: and especially to the Metropolitan group who overwhelming a hold

1847
01:29:33,840 --> 01:29:36,120
Speaker 1: the view of more gun control. When you say things

1848
01:29:36,200 --> 01:29:38,720
Speaker 1: like the Second Amendment shouldn't apply today because there's no

1849
01:29:38,880 --> 01:29:41,639
Speaker 1: way that the founders could have predicted ar style rifles

1850
01:29:41,720 --> 01:29:44,400
Speaker 1: or high capacity magazines, it actually kind of opens up

1851
01:29:44,439 --> 01:29:47,759
Speaker 1: some dangerous ground legally. Imagine if someone stated that because

1852
01:29:47,800 --> 01:29:50,840
Speaker 1: the Internet didn't exist in seventeen eighty seven, the freedom

1853
01:29:50,880 --> 01:29:53,040
Speaker 1: of speech or freedom of the press should not apply there,

1854
01:29:53,400 --> 01:29:55,559
Speaker 1: or that the Fourth Amendment right to search and seizure

1855
01:29:55,760 --> 01:29:58,920
Speaker 1: did not apply to cars because they also are newer inventions.

1856
01:29:59,240 --> 01:30:00,959
Speaker 2: In both cases, it would be ridiculous.

1857
01:30:01,000 --> 01:30:03,479
Speaker 1: Because we understand the Constitution as a set of principles

1858
01:30:03,720 --> 01:30:05,920
Speaker 1: laid out to apply to a dynamic and changing nation

1859
01:30:06,200 --> 01:30:08,400
Speaker 1: which we can rely on to give us even in

1860
01:30:08,439 --> 01:30:12,240
Speaker 1: the face of unprecedented societal and technological change. Now, to

1861
01:30:12,360 --> 01:30:14,720
Speaker 1: the extent that there is a policy solution, it must

1862
01:30:14,760 --> 01:30:17,920
Speaker 1: come from a deeper and multifaceted understanding of the problem

1863
01:30:18,200 --> 01:30:21,439
Speaker 1: from loneliness, identity, politics, and the litany of social ills

1864
01:30:21,640 --> 01:30:24,120
Speaker 1: that seem to manifest in this sick freak in Texas.

1865
01:30:24,479 --> 01:30:27,519
Speaker 1: In other words, it won't be easy, but that doesn't

1866
01:30:27,640 --> 01:30:29,600
Speaker 1: mean that we still don't have to deal with it.

1867
01:30:29,760 --> 01:30:31,719
Speaker 1: So that's why always where I come on the gun issue.

1868
01:30:31,760 --> 01:30:34,519
Speaker 2: And if you want to hear my reaction to Cyber's monologue,

1869
01:30:34,600 --> 01:30:37,559
Speaker 2: become a premium subscriber today at breakingpoints dot Com.

1870
01:30:40,840 --> 01:30:43,400
Speaker 1: Joining us now is Ken Klippenstein's a great partner of us.

1871
01:30:43,439 --> 01:30:45,839
Speaker 1: He's also a reporter over at the Intercept. Great seaman.

1872
01:30:45,920 --> 01:30:46,880
Speaker 10: Hey, good to be with you, guys.

1873
01:30:47,080 --> 01:30:48,800
Speaker 1: Ken, you've been at the forefront of reporting on this

1874
01:30:48,920 --> 01:30:51,680
Speaker 1: disinformation industrial complex. Who came out with a brand new

1875
01:30:51,760 --> 01:30:53,960
Speaker 1: bombshell story. Let's go and put it up there on

1876
01:30:54,200 --> 01:30:58,599
Speaker 1: the screen. Quote the government created his new disinformation office

1877
01:30:58,880 --> 01:31:01,840
Speaker 1: to oversee all well the other ones. And you reveal

1878
01:31:01,960 --> 01:31:05,439
Speaker 1: here some new offices inside of the Pentagon. They're tasked

1879
01:31:05,479 --> 01:31:09,439
Speaker 1: with quote unquote overseeing disinformation. So tell us about these

1880
01:31:09,520 --> 01:31:13,280
Speaker 1: Dystopian Orwellian agencies being funded in our name.

1881
01:31:13,520 --> 01:31:15,599
Speaker 10: Okay, So we want to start with Dystope and let's

1882
01:31:15,600 --> 01:31:17,639
Speaker 10: talk about the one in the Pentagon because I dearly

1883
01:31:17,720 --> 01:31:20,040
Speaker 10: love the name of that. Okay, it's called the Influence

1884
01:31:20,120 --> 01:31:24,320
Speaker 10: and Perception Management Office. There's a term that harkens back

1885
01:31:24,360 --> 01:31:25,440
Speaker 10: to the Reagan administration.

1886
01:31:25,600 --> 01:31:25,680
Speaker 6: Oh.

1887
01:31:25,720 --> 01:31:29,920
Speaker 10: I think under his CIA he had a perception management office.

1888
01:31:29,920 --> 01:31:32,280
Speaker 10: I think the goal was to kind of try to

1889
01:31:32,680 --> 01:31:35,320
Speaker 10: influence the coverage of the Iran contract.

1890
01:31:35,040 --> 01:31:38,000
Speaker 2: Or the concerts in Nicaragua. That's right, right, And so

1891
01:31:38,080 --> 01:31:39,439
Speaker 2: now they've stood that up in the Pentagon.

1892
01:31:39,479 --> 01:31:41,479
Speaker 10: What's interesting about these agencies that they're working on now

1893
01:31:41,560 --> 01:31:43,960
Speaker 10: is that they're not just disinformation agencies.

1894
01:31:43,960 --> 01:31:45,880
Speaker 2: I found out in the course of the supporting that, for.

1895
01:31:45,920 --> 01:31:48,000
Speaker 10: Example, in the Department of Homeland Security, there are nearly

1896
01:31:48,120 --> 01:31:51,040
Speaker 10: half a dozen counter disinformation offices. So now they're creating

1897
01:31:51,080 --> 01:31:54,080
Speaker 10: ones to oversee the ones that they already have within

1898
01:31:54,160 --> 01:31:56,720
Speaker 10: the agencies and departments. And so what I found in

1899
01:31:56,800 --> 01:31:59,679
Speaker 10: this stow with the Foreign Malign Influence Office that's overseeing

1900
01:31:59,840 --> 01:32:03,320
Speaker 10: the ones that are overseeing all the various agency and

1901
01:32:03,400 --> 01:32:06,320
Speaker 10: departmental efforts. And so this is in the Office of

1902
01:32:06,360 --> 01:32:08,920
Speaker 10: the Director of National Intelligence, which has access to the

1903
01:32:09,040 --> 01:32:12,320
Speaker 10: full suite of intelligence across all components of the intelligence community.

1904
01:32:12,360 --> 01:32:14,639
Speaker 10: So this is really a significant elevation of their efforts.

1905
01:32:15,200 --> 01:32:17,680
Speaker 4: And can we talk about what these offices are authorized

1906
01:32:17,720 --> 01:32:19,240
Speaker 4: to do, because that's part of what you get into

1907
01:32:19,320 --> 01:32:21,320
Speaker 4: and the piece and can make a big difference as to,

1908
01:32:21,479 --> 01:32:23,720
Speaker 4: you know, whether something is nefarious or whether it's just

1909
01:32:23,840 --> 01:32:26,800
Speaker 4: the Pentagon being the Pentagon and doing what it does.

1910
01:32:27,360 --> 01:32:32,560
Speaker 4: There's actually indications that they have pretty serious authority capabilities

1911
01:32:32,760 --> 01:32:33,599
Speaker 4: in these offices.

1912
01:32:34,040 --> 01:32:35,040
Speaker 3: What are they authorized to do?

1913
01:32:35,200 --> 01:32:37,880
Speaker 10: Yeah, So what was unprecedented about the fm C is

1914
01:32:37,920 --> 01:32:41,360
Speaker 10: that instead of just having access to that specific agency

1915
01:32:41,439 --> 01:32:45,120
Speaker 10: or that specific department, they have full sweeping access to

1916
01:32:45,280 --> 01:32:50,640
Speaker 10: all relevant intelligence that they deem you know, pertinent to disinformation.

1917
01:32:51,000 --> 01:32:54,559
Speaker 10: And so particularly after her story on which you had

1918
01:32:54,640 --> 01:32:56,599
Speaker 10: us on to discuss and I appreciate that very much,

1919
01:32:56,840 --> 01:32:59,439
Speaker 10: without the DHS efforts there, it feels like there was

1920
01:32:59,439 --> 01:33:00,720
Speaker 10: a big rebrik and on the part of the federal

1921
01:33:00,760 --> 01:33:04,320
Speaker 10: government to say this is about foreign disinformation. Yes, but

1922
01:33:04,400 --> 01:33:06,200
Speaker 10: when you talk to experts about it in the age

1923
01:33:06,240 --> 01:33:08,200
Speaker 10: of the Internet, it's really hard to differentiate between four.

1924
01:33:08,240 --> 01:33:09,439
Speaker 2: So let's get into that though.

1925
01:33:09,800 --> 01:33:11,880
Speaker 4: And that's intentionally what they do, that they blur the

1926
01:33:11,960 --> 01:33:14,080
Speaker 4: line intentionally so that they can sweep Americans into the

1927
01:33:14,120 --> 01:33:15,599
Speaker 4: Hamilton sixty nine dashboard.

1928
01:33:15,640 --> 01:33:19,200
Speaker 1: So if we're like, oh, well, we're talking about Russian disformation,

1929
01:33:19,280 --> 01:33:21,000
Speaker 1: it's like, well, well, all of a sudden, now we're

1930
01:33:21,000 --> 01:33:23,200
Speaker 1: talking about Facebook and then we're actually talking about election as.

1931
01:33:23,160 --> 01:33:24,880
Speaker 3: And we're talking about Jill Stein or Chill Stein.

1932
01:33:24,920 --> 01:33:26,479
Speaker 1: And one of the things you pointed out that I

1933
01:33:26,520 --> 01:33:28,200
Speaker 1: still want noise a crap out of me was that

1934
01:33:28,680 --> 01:33:33,240
Speaker 1: they were going after criticism of the Afghan withdrawal as disinformation.

1935
01:33:33,720 --> 01:33:35,720
Speaker 1: For example, do you have any more concrete examples you

1936
01:33:35,760 --> 01:33:38,160
Speaker 1: could share with the audience, just to put this all

1937
01:33:38,520 --> 01:33:41,120
Speaker 1: into perspective, So why should people be afraid? Like, why

1938
01:33:41,120 --> 01:33:43,920
Speaker 1: should we care if the government is regulating disinformation?

1939
01:33:44,000 --> 01:33:45,720
Speaker 10: Yeah, So to give you guys a brief timeline of

1940
01:33:45,800 --> 01:33:49,080
Speaker 10: these kind of disinformation efforts, it began with twenty sixteen

1941
01:33:49,240 --> 01:33:51,640
Speaker 10: of the Russian active measures campaign. I mentioned in the

1942
01:33:51,760 --> 01:33:55,040
Speaker 10: story Rand Corporation report, which is the most detailed one

1943
01:33:55,080 --> 01:33:58,719
Speaker 10: to date that actually looked at the hard data and said, okay,

1944
01:33:58,880 --> 01:34:02,320
Speaker 10: what practical effect did the Russian propaganda campaign have? And

1945
01:34:02,360 --> 01:34:04,080
Speaker 10: they take a very dim view of it. Bear in mind,

1946
01:34:04,160 --> 01:34:06,920
Speaker 10: this is a Pentagon funded think tank, very respected, not

1947
01:34:07,040 --> 01:34:09,920
Speaker 10: the kind of like you know, highly politicized thing you'd

1948
01:34:09,920 --> 01:34:13,519
Speaker 10: expect from the think tank world generally, and they say that,

1949
01:34:13,920 --> 01:34:15,840
Speaker 10: you know, while they were Russian efforts, they had almost

1950
01:34:15,960 --> 01:34:20,800
Speaker 10: no practical effect. They were very disorganized, extremely incompetent, you know,

1951
01:34:20,880 --> 01:34:22,439
Speaker 10: all the sorts of terms that you think of when

1952
01:34:22,520 --> 01:34:24,240
Speaker 10: we look at how they're executing the war in Ukraine,

1953
01:34:24,280 --> 01:34:26,000
Speaker 10: it looks like that that's how they carried out this

1954
01:34:26,360 --> 01:34:29,080
Speaker 10: propaganda campaign. And so to you know, take that very

1955
01:34:29,120 --> 01:34:32,120
Speaker 10: negative view of it and compare with that this full

1956
01:34:32,160 --> 01:34:33,840
Speaker 10: court press on the part of the federal government and

1957
01:34:33,840 --> 01:34:35,880
Speaker 10: the national security state to respond to this, it just

1958
01:34:35,920 --> 01:34:39,280
Speaker 10: seems like very disproportionate to the threat.

1959
01:34:39,439 --> 01:34:42,519
Speaker 4: And there's also an interesting media aspect to this, which

1960
01:34:42,600 --> 01:34:44,479
Speaker 4: is that you know, as you you put, we were

1961
01:34:44,479 --> 01:34:46,080
Speaker 4: actually talking about Crystal and Coyle's wedding.

1962
01:34:47,160 --> 01:34:49,160
Speaker 2: This is in the budget right like this, this is

1963
01:34:49,160 --> 01:34:49,840
Speaker 2: in the federal budget.

1964
01:34:49,880 --> 01:34:51,280
Speaker 10: Yeah, this was not a classified I mean I have

1965
01:34:51,360 --> 01:34:53,680
Speaker 10: story based I've had stories based on classified documents and

1966
01:34:53,760 --> 01:34:54,960
Speaker 10: stuff that's not supposed to be public.

1967
01:34:55,000 --> 01:34:55,960
Speaker 3: This was sitting right there.

1968
01:34:56,120 --> 01:34:57,760
Speaker 2: Nobody. Yes, that's the other thing.

1969
01:34:58,000 --> 01:35:01,519
Speaker 10: This was the for Online Influence Center had been debated

1970
01:35:01,840 --> 01:35:04,560
Speaker 10: for years now publicly, and nobody covered.

1971
01:35:04,320 --> 01:35:07,719
Speaker 1: It, Nobody covered it, nobody's even considering what the potential

1972
01:35:07,840 --> 01:35:10,840
Speaker 1: dangers here are. Can I mean as we watch this

1973
01:35:11,040 --> 01:35:14,519
Speaker 1: behemoth expand we've had Jacob Siegal on the show to

1974
01:35:14,560 --> 01:35:16,960
Speaker 1: talk about the disinformation industrial complex, We've had you on

1975
01:35:17,040 --> 01:35:20,240
Speaker 1: the show, you and Lefong's reporting about the government, it

1976
01:35:20,400 --> 01:35:22,200
Speaker 1: never seems to actually stop anything.

1977
01:35:22,439 --> 01:35:23,720
Speaker 2: Or am I wrong?

1978
01:35:23,840 --> 01:35:26,640
Speaker 1: Our lawmakers actually waking up to this fact. Are they

1979
01:35:26,800 --> 01:35:29,639
Speaker 1: looking into what's changing or are they just changing their

1980
01:35:29,720 --> 01:35:31,639
Speaker 1: tactics and rebranding them in different ways.

1981
01:35:31,680 --> 01:35:33,640
Speaker 10: So the previous story that we had on the that

1982
01:35:33,760 --> 01:35:40,160
Speaker 10: focused on the DHS efforts, particularly the Countering Foreign Influence Office,

1983
01:35:40,240 --> 01:35:43,559
Speaker 10: not to be confused with the Foreign Influenced Task Force

1984
01:35:43,640 --> 01:35:44,160
Speaker 10: of the FBI.

1985
01:35:44,960 --> 01:35:45,840
Speaker 2: Much overlap.

1986
01:35:48,000 --> 01:35:49,360
Speaker 3: Do these different entities.

1987
01:35:50,040 --> 01:35:51,680
Speaker 10: The main effect that it's appeared to have so far,

1988
01:35:51,760 --> 01:35:54,120
Speaker 10: to be completely candid with you, is to cause them

1989
01:35:54,200 --> 01:35:56,639
Speaker 10: to drive it underground and become more secretive and disclose

1990
01:35:56,720 --> 01:35:59,720
Speaker 10: less about it. Because you'll recall the quadirennial Department of

1991
01:35:59,760 --> 01:36:02,880
Speaker 10: Home Security review came out just a week ago, a

1992
01:36:02,920 --> 01:36:05,720
Speaker 10: bear in mind, like six years past the date that

1993
01:36:05,760 --> 01:36:07,879
Speaker 10: they were supposed to release in and I had originally

1994
01:36:07,960 --> 01:36:10,479
Speaker 10: been leaked in my first story a draft copy of

1995
01:36:11,000 --> 01:36:13,920
Speaker 10: what that was. They were stripped virtually all mention of

1996
01:36:14,040 --> 01:36:17,120
Speaker 10: any of this from the quadrenial review that end up

1997
01:36:17,120 --> 01:36:19,600
Speaker 10: coming out. That's like their big strategy documents saying this

1998
01:36:19,800 --> 01:36:21,840
Speaker 10: is what we're going to do with the department going forward.

1999
01:36:21,800 --> 01:36:23,840
Speaker 11: Right, I mean, yeah, go ahead, Emily, Well I was

2000
01:36:23,880 --> 01:36:26,439
Speaker 11: gonna say, I mean, it's just insane that they appoint

2001
01:36:26,520 --> 01:36:29,599
Speaker 11: themselves with these massive powers and then they also they

2002
01:36:29,680 --> 01:36:32,200
Speaker 11: just strip away any semblance of transparency whatsoever.

2003
01:36:32,400 --> 01:36:34,719
Speaker 3: So it exists, but you have absolutely no idea.

2004
01:36:36,240 --> 01:36:38,800
Speaker 2: These are multi million dollars. Do we know some of

2005
01:36:38,840 --> 01:36:40,720
Speaker 2: the individuals who are in charge? I mean, we got that.

2006
01:36:40,840 --> 01:36:42,800
Speaker 2: Remember the czar or whatever her name was.

2007
01:36:43,120 --> 01:36:46,519
Speaker 3: Nina Janko Woods, who, by the way, just sweetheart.

2008
01:36:46,600 --> 01:36:48,960
Speaker 2: She still has an open invitation. I've invited her many times.

2009
01:36:49,040 --> 01:36:49,599
Speaker 2: Come on the show.

2010
01:36:50,479 --> 01:36:53,559
Speaker 3: Well away, I've invited her.

2011
01:36:54,400 --> 01:36:56,080
Speaker 1: I will give her as much time as she wants

2012
01:36:56,120 --> 01:36:58,840
Speaker 1: to speak, Ken. Do we know any of the figures

2013
01:36:58,840 --> 01:36:59,519
Speaker 1: who are involved here.

2014
01:37:00,120 --> 01:37:04,599
Speaker 10: There's a former senior CIA official who was I think

2015
01:37:04,840 --> 01:37:07,080
Speaker 10: one of the top officials for the analytics section of

2016
01:37:07,160 --> 01:37:09,760
Speaker 10: the CIA. There's the case officers that you know are

2017
01:37:10,080 --> 01:37:12,120
Speaker 10: work operating on the ground and they're ones that analyze

2018
01:37:12,160 --> 01:37:14,360
Speaker 10: the intelligence, and so I think reading the tea leaves

2019
01:37:14,400 --> 01:37:16,240
Speaker 10: there that means they're really are going to be collating,

2020
01:37:16,720 --> 01:37:19,479
Speaker 10: gathering and and you know, putting together all of this

2021
01:37:19,600 --> 01:37:23,680
Speaker 10: information from these various agencies that exist, you know, all

2022
01:37:23,720 --> 01:37:25,560
Speaker 10: over the federal government at this point to respond to this.

2023
01:37:27,000 --> 01:37:28,759
Speaker 2: Ken fantastic job on the reporting.

2024
01:37:28,880 --> 01:37:30,920
Speaker 1: We're happy to support some of the work that you're

2025
01:37:30,960 --> 01:37:32,479
Speaker 1: doing with the intercept and all of that, and have

2026
01:37:32,600 --> 01:37:34,599
Speaker 1: you had here on our show. You've always been at

2027
01:37:34,600 --> 01:37:36,200
Speaker 1: the forefront of this and we will continue. So thank

2028
01:37:36,200 --> 01:37:38,920
Speaker 1: you very much, sir, appreciate it. Emily, thank you for

2029
01:37:39,280 --> 01:37:40,840
Speaker 1: being a great coach with me. It was a very

2030
01:37:40,880 --> 01:37:41,799
Speaker 1: ambitious crossover.

2031
01:37:42,400 --> 01:37:45,160
Speaker 3: Concludes today's edition of Fascists Live.

2032
01:37:45,040 --> 01:37:45,960
Speaker 4: With y.

2033
01:37:48,000 --> 01:37:50,880
Speaker 2: Fascist points. I'm sure, I'm sure the haters will call

2034
01:37:51,000 --> 01:37:52,760
Speaker 2: crawl out of the woodwork. It's okay. You know, we

2035
01:37:52,960 --> 01:37:56,000
Speaker 2: we love our haters as much as we love our lovers.

2036
01:37:56,040 --> 01:37:57,040
Speaker 2: I guess is that is that the.

2037
01:37:57,040 --> 01:37:58,479
Speaker 3: Way you was say it to be clear that I

2038
01:37:58,600 --> 01:37:59,679
Speaker 3: am Regis and you are Kelly.

2039
01:37:59,760 --> 01:38:02,600
Speaker 2: There, I am give me a. I fully embrace the uh,

2040
01:38:02,760 --> 01:38:05,120
Speaker 2: I fully embrace that role. We love you guys. Thank

2041
01:38:05,160 --> 01:38:05,559
Speaker 2: you very much.

2042
01:38:05,640 --> 01:38:07,840
Speaker 1: Counterpoints are going to be on tomorrow for a normal show,

2043
01:38:07,880 --> 01:38:10,840
Speaker 1: and I'll be back here with Ryan on Thursday. Much

2044
01:38:10,920 --> 01:38:12,880
Speaker 1: loved to Crystal on her honeymoon. We missed her very

2045
01:38:12,960 --> 01:38:15,400
Speaker 1: much dearly. Thank you all to the Premius describers for

2046
01:38:15,520 --> 01:38:17,240
Speaker 1: our work. We will see you all later