1
00:00:00,240 --> 00:00:03,560
Speaker 1: Hello the Internet, and welcome to this episode of The

2
00:00:03,600 --> 00:00:08,440
Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from

3
00:00:08,640 --> 00:00:19,400
Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza. Yeah, so,

4
00:00:19,880 --> 00:00:25,720
Speaker 1: without further ado, here is the Weekly Zeitgeist. We are

5
00:00:25,760 --> 00:00:28,639
Speaker 1: thrilled to be joined by the executive director of Civil

6
00:00:28,720 --> 00:00:33,120
Speaker 1: Rights Corp. Which is a nonprofit dedicated to fighting systemic injustice.

7
00:00:33,159 --> 00:00:36,040
Speaker 1: Has been a civil rights lawyer, a public defender, named

8
00:00:36,040 --> 00:00:39,600
Speaker 1: twenty sixteen's Trialer of the Year by Public Justice. Author

9
00:00:39,640 --> 00:00:43,880
Speaker 1: of several books, the incredibly compelling Usual Cruelty, which we've

10
00:00:43,880 --> 00:00:46,560
Speaker 1: had him on to talk about before. He's got one

11
00:00:46,640 --> 00:00:50,880
Speaker 1: coming maybe this year. Most importantly, a great follow on

12
00:00:50,920 --> 00:00:53,680
Speaker 1: Twitter and all the social media. Is just kidding, that's

13
00:00:53,760 --> 00:00:56,840
Speaker 1: not most important. But please welcome back to the show.

14
00:00:56,880 --> 00:01:02,720
Speaker 1: The brilliant, the talented Alec Carricazana. What's up about you?

15
00:01:03,280 --> 00:01:04,240
Speaker 2: Thanks for having me back.

16
00:01:04,800 --> 00:01:07,360
Speaker 1: Oh, thank you for being here. And the reason we're

17
00:01:07,360 --> 00:01:10,000
Speaker 1: talking like auctioneers is because we only have you for

18
00:01:10,000 --> 00:01:12,880
Speaker 1: forty five minutes, so we wanted to get right into it.

19
00:01:13,240 --> 00:01:17,520
Speaker 3: You' all found great Thank you man, revved up many

20
00:01:17,840 --> 00:01:19,000
Speaker 3: just getting through it, just getting through it.

21
00:01:19,200 --> 00:01:21,920
Speaker 1: Just some people from White House, and they they've got

22
00:01:21,959 --> 00:01:26,920
Speaker 1: some Daddy's little helpers is what they call him. No,

23
00:01:27,160 --> 00:01:30,720
Speaker 1: it's amazing to have you back. You know, we usually

24
00:01:30,800 --> 00:01:34,200
Speaker 1: do search history underrated, overrated, but I think I think

25
00:01:34,240 --> 00:01:37,200
Speaker 1: we can just skip that unless there's something you desperately

26
00:01:37,240 --> 00:01:39,480
Speaker 1: want to get off your chest that you think is

27
00:01:39,520 --> 00:01:42,759
Speaker 1: overrated or underrated or something from your search history.

28
00:01:43,200 --> 00:01:45,080
Speaker 2: I don't have anything I'm dying to tell everybody. I

29
00:01:45,080 --> 00:01:45,520
Speaker 2: don't think.

30
00:01:45,760 --> 00:01:49,400
Speaker 3: Okay, okay, good, then we'll ask the questions.

31
00:01:49,760 --> 00:01:53,320
Speaker 1: We'll ask the questions here, Alec. All right, So last

32
00:01:53,360 --> 00:01:57,880
Speaker 1: time we checked in with you, there was this is

33
00:01:58,200 --> 00:02:00,520
Speaker 1: a little over a year ago, or maybe actually a

34
00:02:00,520 --> 00:02:02,360
Speaker 1: little less than a year ago, but there was a

35
00:02:02,360 --> 00:02:04,720
Speaker 1: lot of talk in the mainstream media still about how

36
00:02:04,840 --> 00:02:09,120
Speaker 1: crime was up because everyone defunded the police. And there's

37
00:02:09,160 --> 00:02:13,600
Speaker 1: been an emerging story that crime has been plummeting, much

38
00:02:13,760 --> 00:02:18,440
Speaker 1: much less popular story with the mainstream media. And I'm

39
00:02:18,480 --> 00:02:22,519
Speaker 1: pretty sure there hasn't been like a corresponding like the

40
00:02:23,040 --> 00:02:26,760
Speaker 1: police were never defunded, so like their theory of the

41
00:02:26,840 --> 00:02:33,680
Speaker 1: case seems to have been exposed as bullshit. So presumably

42
00:02:33,720 --> 00:02:36,600
Speaker 1: the mainstream media has been flooded with articles explaining what

43
00:02:36,639 --> 00:02:39,160
Speaker 1: they got wrong and taking a long hard look at

44
00:02:39,160 --> 00:02:44,680
Speaker 1: their methodology. How are you seeing these latest crime statistics

45
00:02:44,960 --> 00:02:46,440
Speaker 1: where crime has gone down.

46
00:02:47,000 --> 00:02:49,120
Speaker 2: I think it's important for us to just take a

47
00:02:49,120 --> 00:02:52,400
Speaker 2: step back and understand that, whether we're talking about last

48
00:02:52,520 --> 00:02:55,880
Speaker 2: year or the year before, the year before that, overall

49
00:02:56,000 --> 00:02:58,639
Speaker 2: levels of police reported crime in this country are near

50
00:02:58,840 --> 00:03:02,000
Speaker 2: historic loves. So even when there was all that frenzy

51
00:03:02,400 --> 00:03:07,800
Speaker 2: about retail theft and shoplifting or car theft or violent

52
00:03:07,919 --> 00:03:11,760
Speaker 2: crime or robberies, you know, we were still at a

53
00:03:12,200 --> 00:03:15,680
Speaker 2: stage in history where all of those things were were

54
00:03:16,280 --> 00:03:20,399
Speaker 2: extraordinarily low relative to you know, what they were, let's

55
00:03:20,400 --> 00:03:23,359
Speaker 2: say in the nineties or or in the early two thousands.

56
00:03:23,440 --> 00:03:26,200
Speaker 2: And it's also important to understand that when you hear

57
00:03:26,240 --> 00:03:31,720
Speaker 2: about crime statistics in the news, it's really only seven

58
00:03:32,040 --> 00:03:35,280
Speaker 2: or so crimes that the police track and report to

59
00:03:35,320 --> 00:03:38,880
Speaker 2: the FBI. And even then most people don't understand that,

60
00:03:39,040 --> 00:03:41,160
Speaker 2: like forty percent of police departments don't even report that

61
00:03:41,280 --> 00:03:43,200
Speaker 2: data to the FBI. So a lot of it is

62
00:03:43,240 --> 00:03:47,120
Speaker 2: just like FBI statistical estimates based on the police reporting

63
00:03:47,240 --> 00:03:51,080
Speaker 2: like a few what they call index crimes. So what

64
00:03:51,320 --> 00:03:55,240
Speaker 2: is left out of crime statistics well, almost all the

65
00:03:55,280 --> 00:03:59,040
Speaker 2: crimes committed by police themselves, almost all the crimes committed

66
00:03:59,280 --> 00:04:03,240
Speaker 2: by and prison guards, almost all white collar crime. Right,

67
00:04:03,320 --> 00:04:06,800
Speaker 2: So while you hear a lot about theft in the

68
00:04:06,840 --> 00:04:10,480
Speaker 2: news and retail theft and shoplifting, what don't the police

69
00:04:10,480 --> 00:04:12,760
Speaker 2: report and what doesn't the FBI report when it's talking

70
00:04:12,800 --> 00:04:18,240
Speaker 2: about crime rates tax evasion or wage theft. You know,

71
00:04:18,279 --> 00:04:20,800
Speaker 2: and wage theft is about fifty billion dollars a year,

72
00:04:21,080 --> 00:04:24,039
Speaker 2: So that right there is three times all of the

73
00:04:24,080 --> 00:04:26,880
Speaker 2: crime that FBI is reporting is property crime combined. And

74
00:04:26,880 --> 00:04:29,240
Speaker 2: so you just have to understand the way the media

75
00:04:29,279 --> 00:04:31,719
Speaker 2: talks about crime stistics is really messed up on like

76
00:04:31,760 --> 00:04:32,760
Speaker 2: a lot of different levels.

77
00:04:33,040 --> 00:04:36,839
Speaker 1: Yeah, wage theft and tax evasion being two crimes that

78
00:04:37,160 --> 00:04:41,080
Speaker 1: the general populace, the readership, the intended audience of the

79
00:04:41,400 --> 00:04:44,800
Speaker 1: mainstream media are the victims of Those are the ones

80
00:04:44,839 --> 00:04:49,039
Speaker 1: that get ignored, the ones that that's not breathlessly reported,

81
00:04:49,440 --> 00:04:53,520
Speaker 1: are the ones where Procter and Gamble is, you know,

82
00:04:53,800 --> 00:04:57,560
Speaker 1: is the victim, and that's that that's treated as like

83
00:04:58,040 --> 00:04:59,600
Speaker 1: the more important crime.

84
00:05:00,120 --> 00:05:02,560
Speaker 2: And I think this is really important lesson for people,

85
00:05:02,600 --> 00:05:05,960
Speaker 2: like you can really mislead people by giving them a

86
00:05:05,960 --> 00:05:08,560
Speaker 2: few anecdotes. So, for example, if you have like a

87
00:05:08,600 --> 00:05:11,359
Speaker 2: week of news stories, even if the anecdotes you're giving

88
00:05:11,360 --> 00:05:15,680
Speaker 2: are true, like you report on seven true examples of

89
00:05:16,160 --> 00:05:19,880
Speaker 2: shoplifting from Walgreens every night, you give the people the

90
00:05:19,920 --> 00:05:22,480
Speaker 2: impression that shoplifting is a huge problem it might be

91
00:05:22,520 --> 00:05:26,160
Speaker 2: increasing even, Right. It's kind of like if I compiled

92
00:05:26,279 --> 00:05:29,240
Speaker 2: a video of every shot Michael Jordan missed in his

93
00:05:29,320 --> 00:05:33,720
Speaker 2: career and put them all together. Yeah, you could create

94
00:05:33,760 --> 00:05:36,359
Speaker 2: the impression that Michael Jordan is a terrible basketball player

95
00:05:36,480 --> 00:05:38,640
Speaker 2: just by taking all of the shots which he actually

96
00:05:38,640 --> 00:05:41,440
Speaker 2: did miss, right, if you don't show the other shots, right,

97
00:05:41,760 --> 00:05:44,000
Speaker 2: And what the news is doing is something very similar.

98
00:05:44,279 --> 00:05:47,239
Speaker 2: It's not showing the public any of the tax evasion

99
00:05:48,000 --> 00:05:49,440
Speaker 2: or any of the wage steps, or any of the

100
00:05:49,480 --> 00:05:52,960
Speaker 2: pollution violations. Right, there's one hundred thousand violations that we

101
00:05:53,040 --> 00:05:55,000
Speaker 2: know about of the Clean Water Act. Every year. It

102
00:05:55,080 --> 00:05:59,840
Speaker 2: causes enormous death, cancer, rotting teeth, children suffering from a

103
00:06:00,080 --> 00:06:03,640
Speaker 2: variety of different preventable illnesses, et cetera. Those are not

104
00:06:03,800 --> 00:06:06,240
Speaker 2: treated as urgent. And so there's this and they're not

105
00:06:06,320 --> 00:06:09,240
Speaker 2: reported on the daily news. And so just through through

106
00:06:09,279 --> 00:06:13,719
Speaker 2: its reporting of anecdote even if those anecdotes are actually

107
00:06:13,800 --> 00:06:18,000
Speaker 2: happening and true, the news can distort our much deeper

108
00:06:18,080 --> 00:06:21,240
Speaker 2: truths about like what kinds of activity is really harmful

109
00:06:21,240 --> 00:06:24,320
Speaker 2: to us? And shoplifting is a good example because tax

110
00:06:24,360 --> 00:06:27,560
Speaker 2: evasion is about a trillion dollars a year, so that's

111
00:06:27,680 --> 00:06:32,480
Speaker 2: you know, sixty times every property crime the FBI reports combined,

112
00:06:33,279 --> 00:06:36,360
Speaker 2: and yet everyone is freaking out of our shoplifting and

113
00:06:36,600 --> 00:06:39,360
Speaker 2: nobody is thinking about tax evasion, right.

114
00:06:39,480 --> 00:06:43,480
Speaker 3: I feel like the shoplifting thing is still like vibrating

115
00:06:43,560 --> 00:06:46,400
Speaker 3: through like my childhood neighborhood. Like there are people who

116
00:06:46,440 --> 00:06:47,960
Speaker 3: like lived in the neighborhood I grow up that are

117
00:06:48,000 --> 00:06:50,440
Speaker 3: still harping about like, well, you know, there's nothing at

118
00:06:50,440 --> 00:06:53,000
Speaker 3: CBS anymore because all the shoplifting, and like we need

119
00:06:53,040 --> 00:06:55,920
Speaker 3: to have like a neighborhood meeting about this. And it's like, dude,

120
00:06:56,520 --> 00:06:58,479
Speaker 3: this is like a two year old conservative take on

121
00:06:58,640 --> 00:07:02,200
Speaker 3: crime that you're like being like, it's it's happening, and

122
00:07:02,560 --> 00:07:05,000
Speaker 3: it's the scores of our community at the moment. But

123
00:07:05,120 --> 00:07:07,960
Speaker 3: like I'm curious for this stuff that you're talking about,

124
00:07:08,000 --> 00:07:10,520
Speaker 3: Like where is there like a centralized place where you

125
00:07:10,560 --> 00:07:13,480
Speaker 3: can see like where like DA's or something are reporting

126
00:07:13,560 --> 00:07:17,000
Speaker 3: things like wage theft or like in a centralized place,

127
00:07:17,040 --> 00:07:18,800
Speaker 3: so I can be like, well, what about this stuff?

128
00:07:18,920 --> 00:07:21,280
Speaker 3: Or is that more just having to be really vigilant

129
00:07:21,280 --> 00:07:23,200
Speaker 3: about what is actually coming out of the courts and

130
00:07:23,200 --> 00:07:23,760
Speaker 3: things like that.

131
00:07:24,120 --> 00:07:27,280
Speaker 2: Yeah, I mean, unfortunately, one of the big scandals of

132
00:07:27,320 --> 00:07:31,560
Speaker 2: our time is that the agencies who are supposed to

133
00:07:31,600 --> 00:07:35,960
Speaker 2: be investigating a lot of these crimes have been completely decimated. So,

134
00:07:36,240 --> 00:07:41,560
Speaker 2: for example, the federal antitrust regulators have been completely decimated.

135
00:07:41,560 --> 00:07:44,920
Speaker 2: They're far fewer regulators even looking into whether companies are

136
00:07:44,920 --> 00:07:47,840
Speaker 2: doing price fixing and doing all kinds of illegal stuff

137
00:07:47,880 --> 00:07:50,400
Speaker 2: that drives up the costs of goods for consumers, et

138
00:07:50,440 --> 00:07:52,920
Speaker 2: cetera than there were forty years ago. We have fewer

139
00:07:52,960 --> 00:07:56,200
Speaker 2: people investigating that stuff now. And the same is true

140
00:07:56,240 --> 00:07:58,680
Speaker 2: with the so called war on drugs, Right, they shifted

141
00:07:59,040 --> 00:08:01,800
Speaker 2: a huge percent of federal agents who were working on

142
00:08:01,880 --> 00:08:06,640
Speaker 2: things like white collar crime, fraud, corporate fraud, tax of asion,

143
00:08:06,640 --> 00:08:11,360
Speaker 2: et cetera, and they shifted government resources toward the drug war,

144
00:08:11,720 --> 00:08:15,360
Speaker 2: and so there's just fewer people actually even looking for

145
00:08:15,400 --> 00:08:18,240
Speaker 2: the crimes that are committed by wealthy people. And that

146
00:08:18,960 --> 00:08:22,080
Speaker 2: means that unfortunately, a lot of the crimes that are

147
00:08:22,080 --> 00:08:25,560
Speaker 2: happening just like aren't even brought into the legal system

148
00:08:25,680 --> 00:08:28,000
Speaker 2: at all, So they're not being reported by prosecutors, not

149
00:08:28,000 --> 00:08:30,800
Speaker 2: being reported by police at all. And so we rely

150
00:08:30,920 --> 00:08:36,440
Speaker 2: on nonprofit organizations really good investigative journalism. Some times the

151
00:08:36,480 --> 00:08:40,400
Speaker 2: government will will itself investigate in some ways that shed

152
00:08:40,480 --> 00:08:42,680
Speaker 2: some light on some of these things, and you would

153
00:08:42,679 --> 00:08:43,760
Speaker 2: have to cobble it all together.

154
00:08:44,520 --> 00:08:47,880
Speaker 3: Yeah, it's yeah. I mean you realize too, just how

155
00:08:47,960 --> 00:08:49,880
Speaker 3: much of that is just to kind of emphasize what,

156
00:08:50,600 --> 00:08:52,720
Speaker 3: you know, sort of the status quo wants to even

157
00:08:52,760 --> 00:08:54,720
Speaker 3: define as crime. Well, it's like, well, don't look at

158
00:08:54,720 --> 00:08:57,520
Speaker 3: that stuff because then all these other people get caught

159
00:08:57,559 --> 00:09:01,160
Speaker 3: up in our perception of what criminality is. Absolutely don't

160
00:09:01,160 --> 00:09:03,240
Speaker 3: want to do that. It's to actually just be like, no, no, no,

161
00:09:03,360 --> 00:09:05,719
Speaker 3: it's the shoplifters. It's these kinds of things that are

162
00:09:06,080 --> 00:09:08,600
Speaker 3: big capital ce crime that we need to worry about.

163
00:09:08,640 --> 00:09:11,080
Speaker 3: When yeah, so like everyone's saying these are the ones,

164
00:09:11,400 --> 00:09:14,000
Speaker 3: like these other things are the things that affect the

165
00:09:14,080 --> 00:09:17,400
Speaker 3: everyday person on a much deeper level. Were they locked

166
00:09:17,480 --> 00:09:19,640
Speaker 3: up Old Spice at CBS.

167
00:09:19,880 --> 00:09:22,680
Speaker 1: Also, we're the victims there. I do not want to

168
00:09:22,720 --> 00:09:25,480
Speaker 1: wait fifteen extra seconds to get my old spice deal

169
00:09:25,559 --> 00:09:27,000
Speaker 1: ran out of the plastic case.

170
00:09:27,120 --> 00:09:29,320
Speaker 3: But it embarrassing to say, I want to are using

171
00:09:29,360 --> 00:09:30,400
Speaker 3: old as a victim?

172
00:09:30,400 --> 00:09:35,240
Speaker 1: Anyway, Yeah, oh yeah, we're just gonna pretend you didn't

173
00:09:35,280 --> 00:09:39,360
Speaker 1: say that, because what about as rate? And it's a

174
00:09:39,480 --> 00:09:40,920
Speaker 1: combination of acts and old.

175
00:09:40,720 --> 00:09:43,240
Speaker 3: Spice, I mix it together. It's a home blown.

176
00:09:43,320 --> 00:09:45,800
Speaker 1: The axe is the new, the old spice is the old.

177
00:09:45,920 --> 00:09:48,720
Speaker 1: And that's why I smell great to myself. Not not

178
00:09:48,760 --> 00:09:53,239
Speaker 1: everybody agrees. What is something that you think is underrated?

179
00:09:54,160 --> 00:09:57,960
Speaker 4: Okay, guys, if you must ask, I'm gonna tell you

180
00:09:58,600 --> 00:10:01,400
Speaker 4: not enough people are talking about the nineteen ninety four

181
00:10:01,480 --> 00:10:04,200
Speaker 4: film Angels in the Outfield with Danny Glover and Joseph

182
00:10:04,280 --> 00:10:09,560
Speaker 4: Gordon Levitt. Wow, it's just so good and having Christopher

183
00:10:09,679 --> 00:10:13,360
Speaker 4: Lloyd as the wacky angel, Like I just watched it

184
00:10:13,400 --> 00:10:17,400
Speaker 4: on a plane recently, saw my goddamn eyes out. What

185
00:10:17,520 --> 00:10:22,240
Speaker 4: a heart expanding story of hope and upliftment. And then

186
00:10:22,320 --> 00:10:27,439
Speaker 4: when he also surprised adopts JP like the literalist, the

187
00:10:27,720 --> 00:10:31,760
Speaker 4: cutest kid I've ever seen in my life. Couldn't believe it.

188
00:10:31,880 --> 00:10:34,320
Speaker 4: And then also to see like the bit parts of

189
00:10:34,360 --> 00:10:40,200
Speaker 4: the early launching pad careers of Matthew McConaughey, Adrian Brody,

190
00:10:40,360 --> 00:10:51,680
Speaker 4: Tony Danza. No, I mean yeah, they had really small

191
00:10:51,760 --> 00:10:54,320
Speaker 4: parts and it was like yeah, and it was just

192
00:10:54,360 --> 00:10:57,760
Speaker 4: a delight and incredible. Why have we forgotten? Why don't

193
00:10:57,760 --> 00:11:01,280
Speaker 4: we have more sports movies with angels mixed in? Amazing?

194
00:11:01,960 --> 00:11:07,000
Speaker 1: Right? Is the story that like did a team plane

195
00:11:07,240 --> 00:11:09,280
Speaker 1: like go down or something? Why are there's so many

196
00:11:09,320 --> 00:11:11,440
Speaker 1: angels in the outfield for this?

197
00:11:11,520 --> 00:11:14,280
Speaker 4: Okay, this was another shocking thing because like I've had

198
00:11:14,320 --> 00:11:17,640
Speaker 4: a lifelong attraction to Dermot mulroney, which I've just failed

199
00:11:17,679 --> 00:11:21,440
Speaker 4: to mention. He is the dead by dad that causes

200
00:11:21,559 --> 00:11:24,760
Speaker 4: all these issues. And he says to tiny we'll get together.

201
00:11:25,120 --> 00:11:26,559
Speaker 3: Yeah, no, oh, yeah, he.

202
00:11:26,520 --> 00:11:31,200
Speaker 4: Says, the tiny little Joseph Gordon the child. He says, like.

203
00:11:31,760 --> 00:11:33,800
Speaker 1: Joseph the child, which is.

204
00:11:35,280 --> 00:11:39,520
Speaker 4: He says, he says, you know, if the Angels win,

205
00:11:39,640 --> 00:11:43,120
Speaker 4: then we can be like a family. Again. What a

206
00:11:43,160 --> 00:11:44,120
Speaker 4: horrible thing to get.

207
00:11:44,080 --> 00:11:54,520
Speaker 5: To, yeah or something is No, he's just like angels way.

208
00:11:54,679 --> 00:11:57,840
Speaker 4: Because the Angels were so bad. So it was basically like,

209
00:11:57,920 --> 00:12:00,240
Speaker 4: if the Angels win, then I'll be your daddy in

210
00:12:00,679 --> 00:12:03,280
Speaker 4: so then of course, little baby Joseph Ward love it.

211
00:12:03,360 --> 00:12:06,320
Speaker 4: He's praying, praying, praying, like for the angels to win,

212
00:12:06,480 --> 00:12:08,600
Speaker 4: thinking that it's gonna come true and he's gonna get

213
00:12:08,600 --> 00:12:11,240
Speaker 4: his dad back. So then the angels arrived to make

214
00:12:11,280 --> 00:12:11,720
Speaker 4: them win.

215
00:12:12,120 --> 00:12:15,400
Speaker 1: Yeah, so they answer little kid prayers if they're like

216
00:12:15,840 --> 00:12:17,160
Speaker 1: sad and pathetic enough.

217
00:12:18,480 --> 00:12:20,640
Speaker 4: But then they got him a different dad. So I

218
00:12:20,679 --> 00:12:21,040
Speaker 4: don't know.

219
00:12:21,440 --> 00:12:24,200
Speaker 1: Yeah, so it's not I don't know why I associated

220
00:12:24,320 --> 00:12:28,160
Speaker 1: angels with ghosts. Angels aren't ghosts right in a way.

221
00:12:28,200 --> 00:12:30,200
Speaker 4: They are. I don't think you're too far off. They're

222
00:12:30,200 --> 00:12:34,240
Speaker 4: like like incredible beings.

223
00:12:34,640 --> 00:12:39,440
Speaker 1: In City of Angels, was Nicholas Cage an eternal being

224
00:12:39,840 --> 00:12:42,160
Speaker 1: who had never been alive? Or was he like a

225
00:12:42,200 --> 00:12:45,720
Speaker 1: dead guy? Anybody remember we had a real run in

226
00:12:45,760 --> 00:12:48,560
Speaker 1: the nineties of angel movies. Huh yeah, I just.

227
00:12:48,880 --> 00:12:52,360
Speaker 4: Saw this movie again in the last year. Also on plane,

228
00:12:52,960 --> 00:12:55,880
Speaker 4: you know, I you know my passion angel.

229
00:12:56,520 --> 00:12:59,200
Speaker 3: Yeah, angels on planes for you that whenever you're on

230
00:12:59,200 --> 00:13:01,240
Speaker 3: a plane, you're like to get an angel flicking.

231
00:13:01,360 --> 00:13:01,560
Speaker 1: Yeah.

232
00:13:01,559 --> 00:13:03,880
Speaker 4: Well, I'm like, I'm probably pretty close to them up here.

233
00:13:03,920 --> 00:13:05,680
Speaker 4: You know, maybe I should.

234
00:13:07,679 --> 00:13:08,400
Speaker 1: Reading the paper.

235
00:13:08,600 --> 00:13:09,360
Speaker 3: Just hold me up.

236
00:13:09,480 --> 00:13:13,839
Speaker 4: Yeah, it's a good movie. I loved it. I love

237
00:13:13,920 --> 00:13:15,760
Speaker 4: those I gotta I love those movies.

238
00:13:16,360 --> 00:13:20,679
Speaker 1: Michael, the John Travolta movie, which I don't know anything

239
00:13:20,760 --> 00:13:24,200
Speaker 1: other than what if John Travolta was an angel?

240
00:13:24,240 --> 00:13:24,480
Speaker 6: Though?

241
00:13:24,600 --> 00:13:26,960
Speaker 4: Oh my god, I also watched that movie.

242
00:13:27,240 --> 00:13:31,440
Speaker 1: Did you Wow? You really are an freak for the angels.

243
00:13:31,960 --> 00:13:34,120
Speaker 4: I didn't realize how many of these I've watched in

244
00:13:34,160 --> 00:13:34,880
Speaker 4: the last year.

245
00:13:35,360 --> 00:13:37,560
Speaker 3: Did you even see Alita Battle Angel?

246
00:13:38,120 --> 00:13:38,280
Speaker 1: Now?

247
00:13:38,280 --> 00:13:39,320
Speaker 3: I've never seen that one.

248
00:13:39,480 --> 00:13:39,920
Speaker 1: Is that good?

249
00:13:40,600 --> 00:13:41,480
Speaker 3: No? It's not.

250
00:13:41,600 --> 00:13:42,760
Speaker 4: Oh okay, it's not.

251
00:13:43,040 --> 00:13:45,000
Speaker 3: It's and it barely has nothing to just there was

252
00:13:45,040 --> 00:13:46,880
Speaker 3: like a sort of title of the character.

253
00:13:47,440 --> 00:13:50,480
Speaker 1: Have you watched the Bone Thugs and Harmony Crossroads video lately?

254
00:13:51,280 --> 00:13:54,360
Speaker 4: Not lately? I can't say I have, But I can't

255
00:13:54,440 --> 00:13:57,079
Speaker 4: do it after this podcast. That's no problem. I can

256
00:13:57,080 --> 00:13:57,959
Speaker 4: fire it right up.

257
00:13:59,400 --> 00:14:03,439
Speaker 1: There's a There's an Angel with big old wings, big

258
00:14:03,440 --> 00:14:04,719
Speaker 1: old honkers.

259
00:14:05,120 --> 00:14:08,679
Speaker 4: I do have a recollection of that from my childhood, actually.

260
00:14:10,240 --> 00:14:13,640
Speaker 1: Touched by an Angel. Superducer Justin is pointing out Touched

261
00:14:13,640 --> 00:14:15,680
Speaker 1: by an Angel was a big nineties.

262
00:14:15,360 --> 00:14:16,880
Speaker 4: Oh yeah, I watched the shit out of that on

263
00:14:16,960 --> 00:14:18,560
Speaker 4: Channel four cable as a child.

264
00:14:18,760 --> 00:14:18,960
Speaker 5: You know.

265
00:14:19,040 --> 00:14:20,880
Speaker 4: I was like, maybe if I watch them, they'll come

266
00:14:20,920 --> 00:14:21,520
Speaker 4: to my room.

267
00:14:23,000 --> 00:14:25,560
Speaker 1: So were you was that like an obsession of yours

268
00:14:25,560 --> 00:14:27,360
Speaker 1: when you were a child, did you like when you

269
00:14:27,400 --> 00:14:29,520
Speaker 1: were in school, were you like drawing angels and shit?

270
00:14:30,040 --> 00:14:32,800
Speaker 4: I mean, like, no, it's not just angels, and it

271
00:14:32,840 --> 00:14:38,960
Speaker 4: really hasn't stopped, like it's been consistent as every year

272
00:14:39,000 --> 00:14:41,360
Speaker 4: of my life. But I just have a lot of

273
00:14:42,120 --> 00:14:46,520
Speaker 4: interest in like what could possibly be and like God,

274
00:14:46,640 --> 00:14:48,280
Speaker 4: Like I don't know what God is, but like I

275
00:14:48,440 --> 00:14:51,520
Speaker 4: pray a lot, and like I love the idea of angels,

276
00:14:51,560 --> 00:14:53,800
Speaker 4: like I don't know if it's real or whatever. I

277
00:14:53,880 --> 00:14:57,240
Speaker 4: also love like fantasy shit like witches and magic and

278
00:14:57,320 --> 00:15:00,560
Speaker 4: wizards and things like that, even though I'm jock and

279
00:15:00,720 --> 00:15:03,320
Speaker 4: very cool and not nerdy at all. So it's confusing.

280
00:15:03,480 --> 00:15:05,200
Speaker 3: Do you think if you were an angel, like in

281
00:15:05,360 --> 00:15:08,280
Speaker 3: a child made like a sports prayer, like it would

282
00:15:08,360 --> 00:15:10,880
Speaker 3: have to be like volleyball based for that way You're like,

283
00:15:11,120 --> 00:15:13,440
Speaker 3: I got this one. I can handle this one.

284
00:15:13,520 --> 00:15:16,560
Speaker 4: Not at all. Like I don't even feel too large

285
00:15:16,600 --> 00:15:19,400
Speaker 4: off a tie to volleyball, although I love that sport.

286
00:15:19,480 --> 00:15:22,120
Speaker 4: But no, I'm not like volleyball is supreme sport.

287
00:15:22,280 --> 00:15:24,560
Speaker 3: You know, I'm saying as an angel if you're giving

288
00:15:24,560 --> 00:15:27,160
Speaker 3: your expertise, So like, am anybody do baseball up here?

289
00:15:27,280 --> 00:15:27,320
Speaker 6: No?

290
00:15:28,040 --> 00:15:30,160
Speaker 3: All right, we got another kid who's praying to the

291
00:15:30,240 --> 00:15:33,080
Speaker 3: family reunites if they can win this beach volleyball tournament.

292
00:15:33,120 --> 00:15:35,280
Speaker 3: Anybody they need a defensive specialist?

293
00:15:35,800 --> 00:15:39,200
Speaker 4: Yeah, you know, Miles, you pose an excellent query. As always,

294
00:15:39,400 --> 00:15:41,560
Speaker 4: I think I would have to go with the child

295
00:15:41,640 --> 00:15:45,160
Speaker 4: who you know needed me most really, But that's just

296
00:15:45,320 --> 00:15:46,880
Speaker 4: sort of the type of heart I have.

297
00:15:49,120 --> 00:15:55,600
Speaker 1: I appreciate that you're humble and highway to any highway takers.

298
00:15:54,480 --> 00:15:57,240
Speaker 1: That so that was that was the eighties. That was

299
00:15:57,240 --> 00:16:01,160
Speaker 1: probably before the show. That was a show where it

300
00:16:01,280 --> 00:16:04,080
Speaker 1: was like, what if the guy you see hitchhiking on

301
00:16:04,120 --> 00:16:09,320
Speaker 1: the highway is actually angel though and it but and

302
00:16:09,360 --> 00:16:13,800
Speaker 1: the guy was Michael Landon, who was a very ansome like, oh.

303
00:16:13,920 --> 00:16:17,120
Speaker 4: Well, might have to check that out.

304
00:16:17,200 --> 00:16:21,600
Speaker 1: Also, yeah, worth worth the shot. What's what's something you

305
00:16:21,600 --> 00:16:22,479
Speaker 1: think is overrated?

306
00:16:22,960 --> 00:16:24,000
Speaker 6: The VIP area?

307
00:16:24,560 --> 00:16:27,760
Speaker 3: Oh, I think tell him where you live, tell him

308
00:16:27,760 --> 00:16:28,200
Speaker 3: how you lived?

309
00:16:28,240 --> 00:16:31,280
Speaker 6: TVK how many times because I've we've been to this,

310
00:16:31,360 --> 00:16:33,120
Speaker 6: You've been doing things like, oh, we have this area

311
00:16:33,160 --> 00:16:35,120
Speaker 6: for you. You guys actually be over there and you'll

312
00:16:35,240 --> 00:16:39,320
Speaker 6: like be at a club or a bar or whatever.

313
00:16:39,440 --> 00:16:41,920
Speaker 6: And as a person who I don't frequent the VIP area,

314
00:16:42,200 --> 00:16:47,560
Speaker 6: I'm not of the lev but but oftentimes people the

315
00:16:47,600 --> 00:16:50,640
Speaker 6: VIP area, they're like, if you want to get in

316
00:16:50,880 --> 00:16:52,560
Speaker 6: and be a part of the party and have fun,

317
00:16:52,880 --> 00:16:55,320
Speaker 6: you have to go out into gen pop.

318
00:16:56,280 --> 00:16:56,520
Speaker 3: Right.

319
00:16:56,640 --> 00:16:57,480
Speaker 1: Yeah.

320
00:16:57,520 --> 00:17:00,400
Speaker 6: So it's like people pay these tables to do bottle

321
00:17:00,400 --> 00:17:03,160
Speaker 6: service just to like stand there and not really be

322
00:17:03,240 --> 00:17:06,560
Speaker 6: a part of the party. But if you do decide,

323
00:17:06,600 --> 00:17:08,040
Speaker 6: if they're like, what have you do this for, let's

324
00:17:08,040 --> 00:17:10,120
Speaker 6: be a part of the party, Well then you realized

325
00:17:10,320 --> 00:17:11,760
Speaker 6: you didn't need the VIP area.

326
00:17:12,200 --> 00:17:15,080
Speaker 3: No, what you wanted was a place to sit.

327
00:17:16,200 --> 00:17:20,320
Speaker 6: Which I can understand. But oftentimes if I need to

328
00:17:20,359 --> 00:17:24,200
Speaker 6: get out, just sitting somewhere in these lights and music

329
00:17:24,600 --> 00:17:26,639
Speaker 6: is I will want to have stepped outside for a

330
00:17:26,680 --> 00:17:29,600
Speaker 6: minute anyway, right right right, And that's the greatest VIP

331
00:17:29,800 --> 00:17:32,919
Speaker 6: area of all outside.

332
00:17:32,320 --> 00:17:36,960
Speaker 1: The out of doors God's VIP area.

333
00:17:37,320 --> 00:17:41,400
Speaker 6: Nature Gya Gaya nailed it. Yeah, that's right.

334
00:17:41,680 --> 00:17:44,400
Speaker 3: No, yeah, the VIPs I mean cause it's it's it's

335
00:17:44,480 --> 00:17:47,240
Speaker 3: wild how different like when back when, back when I

336
00:17:47,320 --> 00:17:50,320
Speaker 3: was going to clubs in the early odds, the ship

337
00:17:50,640 --> 00:17:54,439
Speaker 3: was there was maybe only a couple VIP tables, and

338
00:17:54,480 --> 00:17:56,880
Speaker 3: it was mostly still a like a place you got

339
00:17:56,920 --> 00:18:00,800
Speaker 3: fucking gnarly, sweaty dancing and ship and then you left.

340
00:18:01,320 --> 00:18:04,159
Speaker 3: And it's interesting to see how over time, like the

341
00:18:04,240 --> 00:18:07,159
Speaker 3: flex culture has taken over even the like spaces that

342
00:18:07,240 --> 00:18:09,120
Speaker 3: were just meant to get like sweaty and dancing, where

343
00:18:09,160 --> 00:18:12,399
Speaker 3: it's like now it's like forty percent fucking tables or

344
00:18:12,440 --> 00:18:15,359
Speaker 3: fifty percent tables and no one dances and it's just

345
00:18:15,359 --> 00:18:17,359
Speaker 3: to be seen. And that's like where I feel like

346
00:18:17,400 --> 00:18:17,840
Speaker 3: so old.

347
00:18:17,880 --> 00:18:19,760
Speaker 6: I'm like damn, like okay, but like I think about

348
00:18:19,760 --> 00:18:22,600
Speaker 6: this too. It's like in Vegas, right, if you're living

349
00:18:22,640 --> 00:18:27,639
Speaker 6: that VIP life, you probably like, when I go to Vegas,

350
00:18:27,680 --> 00:18:31,440
Speaker 6: I'm there to sort of run them up with the peasants.

351
00:18:31,480 --> 00:18:34,359
Speaker 6: We're all peasants running around freak out. So like I

352
00:18:34,440 --> 00:18:36,679
Speaker 6: want to go to the pool at the Flamingo and

353
00:18:36,760 --> 00:18:39,560
Speaker 6: just people watch while drinking Miami.

354
00:18:40,359 --> 00:18:47,120
Speaker 1: Yeah, just tall in the sphere.

355
00:18:48,600 --> 00:18:51,560
Speaker 6: No, if you're like VIP lifestyle, you're like, oh, we

356
00:18:51,600 --> 00:18:53,800
Speaker 6: got a room and it has its own pool, Well

357
00:18:53,840 --> 00:18:57,359
Speaker 6: that's gonna be the most boring pool in Vegas, right, Yeah,

358
00:18:57,400 --> 00:19:04,440
Speaker 6: ext So what's Yeah, Hey, guy, I worked coming over. Yeah, guy,

359
00:19:04,520 --> 00:19:06,520
Speaker 6: I work with who I flew here with. And now

360
00:19:06,520 --> 00:19:08,560
Speaker 6: it's just me and him in this pool in this room.

361
00:19:08,600 --> 00:19:12,520
Speaker 1: We paid, I got the PB and j over there

362
00:19:12,560 --> 00:19:16,080
Speaker 1: in the in the fridge, in the fridge, and it's

363
00:19:16,119 --> 00:19:18,240
Speaker 1: in fridge actually, so it's still pretty hard, right.

364
00:19:18,720 --> 00:19:20,560
Speaker 6: But like you get a great room, like the room

365
00:19:20,560 --> 00:19:22,159
Speaker 6: has its own pool, and I'm like, yeah, but I'm

366
00:19:22,160 --> 00:19:24,000
Speaker 6: in Vegas. This isn't the pool I want to be.

367
00:19:24,080 --> 00:19:25,800
Speaker 3: Yet, right, yeah, for sure.

368
00:19:27,000 --> 00:19:31,120
Speaker 1: It gives me syphilis, Yes, I give it right back. Right.

369
00:19:32,320 --> 00:19:34,320
Speaker 3: I want I want someone to say, you didn't open

370
00:19:34,359 --> 00:19:37,840
Speaker 3: your eyes underwater there, did you? And then you go

371
00:19:37,920 --> 00:19:38,840
Speaker 3: why what? What's wrong?

372
00:19:39,240 --> 00:19:44,240
Speaker 1: Oh? I can already see it. Yeah, yeah, No, I

373
00:19:44,880 --> 00:19:48,879
Speaker 1: don't agree. I don't. I don't really do VIP areas

374
00:19:49,040 --> 00:19:51,480
Speaker 1: the times, the very few times that I've encountered, I

375
00:19:51,520 --> 00:19:53,760
Speaker 1: feel like there are two types of VIP areas. They're

376
00:19:53,800 --> 00:19:56,240
Speaker 1: the ones that are like kind of off to the back,

377
00:19:56,880 --> 00:19:58,520
Speaker 1: and then they're the ones that are like in the

378
00:19:58,520 --> 00:20:01,480
Speaker 1: center of everything, feel like right to like the look

379
00:20:01,480 --> 00:20:05,440
Speaker 1: at me, the look at me VIP area that feels

380
00:20:05,880 --> 00:20:09,600
Speaker 1: like so desperate and thirsty to be in that area,

381
00:20:09,720 --> 00:20:12,360
Speaker 1: like that's embarrassing to be in a VIP area that's

382
00:20:12,400 --> 00:20:16,320
Speaker 1: like in the middle of the whole thing. Yeah, yeah, Like,

383
00:20:16,440 --> 00:20:17,520
Speaker 1: what the fuck are we doing?

384
00:20:17,520 --> 00:20:19,080
Speaker 6: Can I sign a question you guys really quick?

385
00:20:19,240 --> 00:20:19,480
Speaker 3: Yeah?

386
00:20:19,920 --> 00:20:23,240
Speaker 6: Have you seen any like lately in your life or

387
00:20:23,359 --> 00:20:26,119
Speaker 6: just on the internet, Like when they do bottle service

388
00:20:26,160 --> 00:20:29,480
Speaker 6: at a club that's like what they're riding on the

389
00:20:29,520 --> 00:20:31,879
Speaker 6: signs as they walk out, like holding you know, sometimes

390
00:20:31,880 --> 00:20:34,080
Speaker 6: it just says like happy birthday again or whatever. But

391
00:20:34,160 --> 00:20:39,680
Speaker 6: I've seen recently where they're so like left field and hilarious,

392
00:20:39,720 --> 00:20:42,000
Speaker 6: Like they're walking out and the sign says, she's not

393
00:20:42,040 --> 00:20:44,199
Speaker 6: going to text you back. They're walking out and the

394
00:20:44,200 --> 00:20:48,440
Speaker 6: sign says it's just paper right like they're they're they've

395
00:20:48,440 --> 00:20:52,400
Speaker 6: become like meme boards and they're hilarious. And I always

396
00:20:52,440 --> 00:20:54,840
Speaker 6: wonder does the club do that or is that what

397
00:20:54,880 --> 00:20:58,359
Speaker 6: the person requested when they ordered the bottle? Because I

398
00:20:58,400 --> 00:21:00,679
Speaker 6: don't ordered a bottle. I have no idea how this works.

399
00:21:00,920 --> 00:21:03,159
Speaker 1: I would Hey, I'm gonna pay you one thousand dollars

400
00:21:03,160 --> 00:21:05,800
Speaker 1: for a single bottle of booze? Could you roast me?

401
00:21:06,119 --> 00:21:07,919
Speaker 1: Well you bring it out to me. Could you just

402
00:21:08,040 --> 00:21:10,680
Speaker 1: absolutely rinse me in front of all these people. I'm

403
00:21:10,720 --> 00:21:13,520
Speaker 1: so desperate to impressed. I'm sorry, that's so cool.

404
00:21:13,880 --> 00:21:16,359
Speaker 3: This So the smearkoff is one thousand dollars for a

405
00:21:16,400 --> 00:21:19,720
Speaker 3: seven to fifty mil Yeah, yeah, okay, I guess I'll

406
00:21:19,720 --> 00:21:22,120
Speaker 3: take that. Then that's the cheapest one.

407
00:21:22,200 --> 00:21:22,400
Speaker 5: Yeah.

408
00:21:23,560 --> 00:21:24,760
Speaker 6: Do we get orange juice.

409
00:21:24,520 --> 00:21:27,000
Speaker 3: With that for seventy eight bucks?

410
00:21:27,160 --> 00:21:27,640
Speaker 6: Yeah? Yeah.

411
00:21:27,880 --> 00:21:30,360
Speaker 3: I was in Japan recently for a friend's wedding and

412
00:21:30,440 --> 00:21:32,199
Speaker 3: at the at the end of their wedding, like it

413
00:21:32,280 --> 00:21:34,879
Speaker 3: was very low key, like a just super chill wedding,

414
00:21:34,920 --> 00:21:37,160
Speaker 3: like it wasn't a huge affair, and afterwards the bride

415
00:21:37,200 --> 00:21:38,960
Speaker 3: and groom were like, we kind of want to go dancing.

416
00:21:39,440 --> 00:21:41,520
Speaker 3: So like me and a few of our other friends,

417
00:21:41,560 --> 00:21:43,320
Speaker 3: we'd like we didn't get them a gift because they're like,

418
00:21:43,359 --> 00:21:45,080
Speaker 3: you guys traveled all the way here, please don't get

419
00:21:45,160 --> 00:21:47,000
Speaker 3: us gifts. But we're like old and we went to

420
00:21:47,000 --> 00:21:48,480
Speaker 3: a club and we're like I kind of need to

421
00:21:48,520 --> 00:21:51,640
Speaker 3: sit down, dude, Like I'm not young enough to want

422
00:21:51,680 --> 00:21:53,600
Speaker 3: to be up in it right now, Like I'd rather

423
00:21:53,720 --> 00:21:56,719
Speaker 3: just sit off to the side. Luckily, bottles in like

424
00:21:56,840 --> 00:21:59,399
Speaker 3: Japan were not expensive, so like between the six of us,

425
00:21:59,400 --> 00:22:01,680
Speaker 3: we're like all right, we all put in like eighty bucks,

426
00:22:01,720 --> 00:22:03,879
Speaker 3: like we can all sit down, and we did that,

427
00:22:04,359 --> 00:22:06,920
Speaker 3: and the funny part was they go, oh, where you

428
00:22:06,960 --> 00:22:09,199
Speaker 3: guys from America? So when the bottle came out, they

429
00:22:09,240 --> 00:22:12,960
Speaker 3: had like sparklers and they were just waving American flags

430
00:22:12,960 --> 00:22:15,920
Speaker 3: and shit, and I was like, no, no, no, no, no,

431
00:22:15,960 --> 00:22:17,480
Speaker 3: we don't got to do all that. But then like

432
00:22:17,480 --> 00:22:19,439
Speaker 3: the people next to us are like Australia. Then they

433
00:22:19,440 --> 00:22:22,280
Speaker 3: brought an Australian flag out and they're like, you're making

434
00:22:22,280 --> 00:22:25,480
Speaker 3: it rain napkins and shit. Like it was just very

435
00:22:25,600 --> 00:22:27,600
Speaker 3: then the sparklers, and at that point I was like,

436
00:22:27,600 --> 00:22:30,359
Speaker 3: see this is why I'm I'm the way home body

437
00:22:30,400 --> 00:22:30,840
Speaker 3: when it comes to.

438
00:22:30,880 --> 00:22:34,000
Speaker 1: It, Draco any liquid as if it has a sparkler

439
00:22:34,080 --> 00:22:37,439
Speaker 1: and an American flag, And it got to yeah, the

440
00:22:37,440 --> 00:22:38,800
Speaker 1: only way I can wet my whistle.

441
00:22:39,520 --> 00:22:40,800
Speaker 6: That's how your dad made your lunch.

442
00:22:40,880 --> 00:22:43,879
Speaker 1: That's fine exactly. It goes go back to my childhood.

443
00:22:44,560 --> 00:22:47,919
Speaker 1: All right, let's uh, let's take a quick break and

444
00:22:47,920 --> 00:22:50,000
Speaker 1: then we'll get into some news. We'll be right back

445
00:23:00,480 --> 00:23:02,840
Speaker 1: and we're back. We missed you.

446
00:23:02,880 --> 00:23:07,320
Speaker 3: Bye, oh hi, oh Miles? What by fuck you said bye?

447
00:23:07,400 --> 00:23:09,440
Speaker 3: I didn't I thought we were over. He just threw

448
00:23:09,520 --> 00:23:11,440
Speaker 3: me off with the buye Hi.

449
00:23:12,280 --> 00:23:15,680
Speaker 1: Well let's talk. He caing a bye. He didn't speaking

450
00:23:15,720 --> 00:23:19,280
Speaker 1: of bye Joe Biden. That's what That's what you were saying.

451
00:23:19,440 --> 00:23:22,160
Speaker 1: You were just trying to get started on this next story.

452
00:23:23,960 --> 00:23:28,640
Speaker 1: What's he up to this time? Miles been.

453
00:23:28,880 --> 00:23:31,439
Speaker 3: You know, Joe Biden's presidency has been a lot, like recently,

454
00:23:31,480 --> 00:23:34,080
Speaker 3: a lot of one for them being the GOP, and

455
00:23:34,200 --> 00:23:38,159
Speaker 3: one for you, the the left or Democratic base or

456
00:23:38,200 --> 00:23:40,320
Speaker 3: people who thought the world could be a better place.

457
00:23:41,000 --> 00:23:44,240
Speaker 3: But yeah, Biden hasn't really done much to differentiate himself

458
00:23:44,240 --> 00:23:46,200
Speaker 3: from Trump, you know when it comes to immigration, Like

459
00:23:46,240 --> 00:23:48,720
Speaker 3: he left a lot of policies in place from Trump's

460
00:23:48,760 --> 00:23:51,440
Speaker 3: administration and even like altered some of them a bit.

461
00:23:51,680 --> 00:23:54,600
Speaker 3: And then he really pissed off his own supporters by

462
00:23:54,640 --> 00:23:57,560
Speaker 3: appeasing Republicans and cracking down on the number of asylum

463
00:23:57,600 --> 00:24:01,280
Speaker 3: seekers that can enter the country. Well, I guess Biden

464
00:24:01,400 --> 00:24:04,639
Speaker 3: decided that now, or at least on Monday, which was

465
00:24:04,680 --> 00:24:07,840
Speaker 3: the anniversary of the DACA program from Obama, is the

466
00:24:07,920 --> 00:24:10,640
Speaker 3: day he will announce a policy that is the biggest

467
00:24:10,720 --> 00:24:15,600
Speaker 3: push to grant amnesty to undocumented immigrants since Obama's DACA

468
00:24:15,720 --> 00:24:18,479
Speaker 3: program in twenty twelve. So what does it do. It

469
00:24:18,600 --> 00:24:21,919
Speaker 3: essentially gives a path to apply for permanent residents to

470
00:24:22,080 --> 00:24:27,000
Speaker 3: undocumented people and their children that are married to US citizens.

471
00:24:27,280 --> 00:24:31,840
Speaker 3: So basically anyone undocumented spouses step children of US citizens

472
00:24:31,920 --> 00:24:34,920
Speaker 3: can apply. This is around five hundred thousand spouses and

473
00:24:35,000 --> 00:24:37,560
Speaker 3: about fifty thousand of their step children that could be

474
00:24:37,640 --> 00:24:40,800
Speaker 3: eligible for this new program. And these people do have

475
00:24:40,840 --> 00:24:44,200
Speaker 3: the opportunity to apply for permanent residents already by being

476
00:24:44,200 --> 00:24:47,280
Speaker 3: married to an American. But if you've entered the country

477
00:24:47,320 --> 00:24:50,640
Speaker 3: without proper legal permission and stay for over one year,

478
00:24:50,960 --> 00:24:53,760
Speaker 3: you have to leave the US and stay abroad for

479
00:24:53,800 --> 00:24:56,320
Speaker 3: at least ten years before you can actually apply for

480
00:24:56,400 --> 00:25:00,080
Speaker 3: permanent residents. So again, this means that families don't have

481
00:25:00,080 --> 00:25:03,240
Speaker 3: have to be broken up despite their immigration status, which

482
00:25:03,400 --> 00:25:05,880
Speaker 3: is a great thing. And to qualify for the program,

483
00:25:05,960 --> 00:25:09,800
Speaker 3: non citizens must as of June seventeenth, have been living

484
00:25:09,840 --> 00:25:11,800
Speaker 3: in the US for at least ten years and have

485
00:25:11,880 --> 00:25:15,280
Speaker 3: been married to a US citizen before that date, and

486
00:25:15,400 --> 00:25:20,240
Speaker 3: the administration they've they estimated that the average time that

487
00:25:20,320 --> 00:25:23,840
Speaker 3: applicants have spent time in the US is twenty three years,

488
00:25:24,160 --> 00:25:26,480
Speaker 3: so This isn't the kind of like immigration bill where

489
00:25:26,520 --> 00:25:29,720
Speaker 3: Republicans can claim that like the borders are open, but

490
00:25:29,920 --> 00:25:32,680
Speaker 3: obviously that will not stop them because nothing is about

491
00:25:32,720 --> 00:25:35,919
Speaker 3: fact and it's just about cranking up the xenophobia before

492
00:25:36,000 --> 00:25:40,280
Speaker 3: the election. So yeah, a bit of good news despite

493
00:25:40,320 --> 00:25:43,800
Speaker 3: the last thing that came out of the administration reguarding immigration.

494
00:25:44,160 --> 00:25:48,000
Speaker 1: But this is so they're like addressing for people who

495
00:25:48,080 --> 00:25:54,399
Speaker 1: are married to somebody who aren't actually like allowed, because

496
00:25:54,400 --> 00:25:57,240
Speaker 1: if you get married to an American, like that doesn't

497
00:25:57,280 --> 00:25:59,680
Speaker 1: automatically make you a US citizen.

498
00:26:00,040 --> 00:26:03,840
Speaker 3: I did, well, you know, you're a whole time. You

499
00:26:03,880 --> 00:26:07,159
Speaker 3: can apply, but if your legal status was not, like

500
00:26:07,240 --> 00:26:09,240
Speaker 3: if you didn't have the proper permission to be in

501
00:26:09,280 --> 00:26:11,840
Speaker 3: the United States, then that would cause people to have

502
00:26:11,920 --> 00:26:13,800
Speaker 3: to exit the country for ten years.

503
00:26:14,200 --> 00:26:16,840
Speaker 1: Because this is so crazy, Like I thought, I thought

504
00:26:16,840 --> 00:26:18,640
Speaker 1: it was gonna be like, Okay, go back and then

505
00:26:18,680 --> 00:26:19,800
Speaker 1: come back and you're good.

506
00:26:19,960 --> 00:26:22,240
Speaker 3: But no, yeah, you're you're good.

507
00:26:22,280 --> 00:26:24,919
Speaker 1: You just need to leave the country for ten years.

508
00:26:25,640 --> 00:26:28,720
Speaker 4: TV shows, like every TV show is like, oh, you

509
00:26:28,960 --> 00:26:30,480
Speaker 4: murder for a green card?

510
00:26:30,760 --> 00:26:32,600
Speaker 3: Yeah right, but you could do that if you can't.

511
00:26:32,640 --> 00:26:34,560
Speaker 3: Let's say you had a visa to come in and

512
00:26:34,640 --> 00:26:37,280
Speaker 3: during that time, like you were actually allowed to be

513
00:26:37,359 --> 00:26:40,840
Speaker 3: in the United States and here legally here in the US.

514
00:26:41,040 --> 00:26:46,199
Speaker 1: Yeah, that's what is exactly the ninety way visa that

515
00:26:46,320 --> 00:26:52,119
Speaker 1: allows you to date like mad and hopefully find a spell.

516
00:26:52,040 --> 00:26:53,960
Speaker 3: And then from there you're usually like in a very

517
00:26:54,000 --> 00:26:56,080
Speaker 3: long process to get you know, your Green card or

518
00:26:56,119 --> 00:26:58,600
Speaker 3: permanent residence status and things like that. But this will

519
00:26:58,600 --> 00:27:00,720
Speaker 3: allow people to work and do other thing, so it's

520
00:27:00,800 --> 00:27:02,840
Speaker 3: you know, it's not as disruptive, and a lot of

521
00:27:02,840 --> 00:27:06,040
Speaker 3: people wouldn't go through to apply for permanent residents because

522
00:27:06,080 --> 00:27:07,840
Speaker 3: they would have to leave for ten years. I'm like, well,

523
00:27:08,080 --> 00:27:09,840
Speaker 3: I have fucking kids, and shit, I can't do that.

524
00:27:10,200 --> 00:27:13,160
Speaker 3: So yeah, yeah, this is years is so little wits

525
00:27:13,280 --> 00:27:16,920
Speaker 3: tiny small victories and also helps there's also some streamlining

526
00:27:16,960 --> 00:27:20,359
Speaker 3: of the laws for people in the DACA program. But yeah,

527
00:27:20,400 --> 00:27:24,040
Speaker 3: this was a I'm surprised that the front page of

528
00:27:24,080 --> 00:27:27,760
Speaker 3: the Drudge Report did not have them screaming about this

529
00:27:27,880 --> 00:27:30,880
Speaker 3: new sort of program as it relates to immigration from

530
00:27:30,920 --> 00:27:31,320
Speaker 3: the Biden.

531
00:27:32,440 --> 00:27:38,120
Speaker 1: They had the fucking Boston Celtics Championship and it's like, oh, okay, man, I.

532
00:27:38,160 --> 00:27:40,720
Speaker 4: Was so excited to come on here. The day I

533
00:27:40,840 --> 00:27:42,480
Speaker 4: say the NBA Finals.

534
00:27:44,800 --> 00:27:49,399
Speaker 1: Of course Boston Celtics get a front page drudge report.

535
00:27:49,600 --> 00:27:52,080
Speaker 3: It's a win for US Bruins, you know, because of

536
00:27:52,200 --> 00:27:52,920
Speaker 3: Drew Holiday.

537
00:27:52,960 --> 00:27:57,399
Speaker 1: But god, I don't even know why I hate the

538
00:27:57,400 --> 00:28:02,399
Speaker 1: Celtics at this point, Like I know why player the team,

539
00:28:02,920 --> 00:28:03,639
Speaker 1: something about it.

540
00:28:03,680 --> 00:28:07,080
Speaker 3: Maybe it's anti Lakers inherent, Yeah, that's I mean, that's yeah,

541
00:28:07,080 --> 00:28:08,960
Speaker 3: we have a we have a just a lifelong we

542
00:28:09,000 --> 00:28:11,840
Speaker 3: can't handle it here, yeah, seeing that have one more

543
00:28:11,840 --> 00:28:14,960
Speaker 3: banner than us. So yeah, I've already received plenty of

544
00:28:15,040 --> 00:28:18,439
Speaker 3: dunks on the internet already from my an eighteenth banner.

545
00:28:18,480 --> 00:28:20,960
Speaker 3: But hey, we accept it, and we breathed through it.

546
00:28:21,359 --> 00:28:22,560
Speaker 4: Yeah, and we breathed through it.

547
00:28:23,080 --> 00:28:26,040
Speaker 1: The last time the Celtics won, the last five Celtics

548
00:28:26,119 --> 00:28:37,240
Speaker 1: championships were followed immediately by at least one following, a

549
00:28:37,320 --> 00:28:42,040
Speaker 1: record that will soon be broken. Exactly. They're not good,

550
00:28:42,120 --> 00:28:44,360
Speaker 1: not with this team, not with these owners, probably not

551
00:28:44,440 --> 00:28:45,960
Speaker 1: with these guys.

552
00:28:45,680 --> 00:28:49,080
Speaker 4: As sad though, like I you know, everyone on Twitter

553
00:28:49,240 --> 00:28:51,960
Speaker 4: was like trending saying it was the worst nbah like

554
00:28:52,160 --> 00:28:55,480
Speaker 4: championship game ever. But there is something I mean, It's

555
00:28:55,520 --> 00:28:59,560
Speaker 4: great for the winning team, but for the viewer, like

556
00:28:59,760 --> 00:29:01,960
Speaker 4: a low Alley is just like not fun.

557
00:29:02,280 --> 00:29:05,760
Speaker 1: Yeah, yeah, and no exactly. The ratings are way down.

558
00:29:05,920 --> 00:29:08,960
Speaker 1: I feel like people generally don't like the Celtics. So

559
00:29:09,000 --> 00:29:12,120
Speaker 1: when the Celtics are doing good, when things are good

560
00:29:12,120 --> 00:29:16,800
Speaker 1: for the Celtics, America is losing Celtics. When America loses,

561
00:29:17,480 --> 00:29:20,760
Speaker 1: just keep that in mind, NBA and the referees. I'm

562
00:29:20,840 --> 00:29:25,640
Speaker 1: just saying, guys, help on the thing with the immigrants.

563
00:29:25,960 --> 00:29:28,720
Speaker 1: I was just gonna say, like, I guess the important

564
00:29:28,720 --> 00:29:30,800
Speaker 1: thing is the numbers, right, They're putting up numbers. Five

565
00:29:30,880 --> 00:29:34,040
Speaker 1: hundred thousand spouses, fifty thousands of their step children could

566
00:29:34,040 --> 00:29:37,480
Speaker 1: be eligible. That's the thing. I just from a political

567
00:29:37,520 --> 00:29:41,480
Speaker 1: perspective again, it feels like a lot of people are

568
00:29:41,560 --> 00:29:45,680
Speaker 1: probably like wait, I thought those people already had like

569
00:29:46,040 --> 00:29:49,920
Speaker 1: access to legal immigration. Anyways, I do want to just

570
00:29:49,920 --> 00:29:54,640
Speaker 1: talk about immigration in general, because there's just all of

571
00:29:54,680 --> 00:30:01,040
Speaker 1: this evidence that immigration is just a win. It's like

572
00:30:01,320 --> 00:30:04,480
Speaker 1: when win, when like wins all the way down for

573
00:30:04,680 --> 00:30:08,720
Speaker 1: America if they would just let it happen. And the

574
00:30:08,800 --> 00:30:13,360
Speaker 1: thing that has been happening is that both sides have

575
00:30:13,520 --> 00:30:18,080
Speaker 1: been you know, bowing to racists and like racist fear.

576
00:30:18,560 --> 00:30:21,400
Speaker 1: But like if you just I don't know why this

577
00:30:21,560 --> 00:30:25,960
Speaker 1: point isn't being made more consistently, Like it seems to

578
00:30:26,000 --> 00:30:29,400
Speaker 1: help all the things that like conservatives claim to care about,

579
00:30:29,440 --> 00:30:32,680
Speaker 1: like the economy, like that, it's it's not just that

580
00:30:32,760 --> 00:30:37,800
Speaker 1: the US can handle more immigrants. We desperately need more immigrants,

581
00:30:38,080 --> 00:30:41,440
Speaker 1: like the it's the thing that drives the US economy.

582
00:30:41,920 --> 00:30:46,880
Speaker 1: Like anytime the US has like an uptick in economic success,

583
00:30:47,040 --> 00:30:50,600
Speaker 1: it's usually because immigration is up. Right, Like the right

584
00:30:50,720 --> 00:30:55,640
Speaker 1: is always like so scared about like population growth and like, well,

585
00:30:55,720 --> 00:30:58,920
Speaker 1: like the birth rate's going down, so we're fucked. And

586
00:30:59,160 --> 00:31:02,080
Speaker 1: it's like, well, actually not if you just allow people

587
00:31:02,120 --> 00:31:05,040
Speaker 1: to immigrate, like like yeah.

588
00:31:04,840 --> 00:31:07,200
Speaker 3: We're not fucked because the birth rate is going down.

589
00:31:07,560 --> 00:31:10,320
Speaker 4: We're the birth rate going down.

590
00:31:11,120 --> 00:31:15,680
Speaker 1: It poses economic challenges that they really want to emphasize

591
00:31:15,680 --> 00:31:18,320
Speaker 1: and be like where fucked you guys? This is no,

592
00:31:18,560 --> 00:31:19,880
Speaker 1: this is bad.

593
00:31:19,680 --> 00:31:22,360
Speaker 3: News because make it better.

594
00:31:22,960 --> 00:31:23,080
Speaker 1: Well.

595
00:31:23,200 --> 00:31:25,560
Speaker 3: And also a lot of billionaires are like we need

596
00:31:25,640 --> 00:31:28,880
Speaker 3: more people, like it's a crisis, like Elon Musk and.

597
00:31:28,880 --> 00:31:34,120
Speaker 7: Like that's why you have said me yeahsed, He's like

598
00:31:34,160 --> 00:31:37,280
Speaker 7: if we had more people born, we could have more

599
00:31:37,400 --> 00:31:40,520
Speaker 7: Mozarts and more Einstein's and things like that.

600
00:31:40,560 --> 00:31:43,440
Speaker 3: But the thing that they failed to like really acknowledge

601
00:31:43,480 --> 00:31:46,080
Speaker 3: is like you need a level of stability for people

602
00:31:46,120 --> 00:31:48,760
Speaker 3: to become Mozarts or Einstein's and if.

603
00:31:48,720 --> 00:31:50,720
Speaker 4: Yeah, and you don't even have enough days in the

604
00:31:50,760 --> 00:31:52,479
Speaker 4: week to go visit all your kids.

605
00:31:52,560 --> 00:31:55,880
Speaker 1: So and by the way, the last generation of billionaires

606
00:31:56,160 --> 00:32:00,240
Speaker 1: they were freaking out because the population was growing too much.

607
00:32:00,360 --> 00:32:02,760
Speaker 1: So like they just they just always want to have

608
00:32:02,800 --> 00:32:05,000
Speaker 1: a thing to freak out about that allows them to

609
00:32:05,080 --> 00:32:09,760
Speaker 1: speculate about getting rid of huge swaths of people or

610
00:32:10,280 --> 00:32:13,640
Speaker 1: everybody fucking them in this case. Right, But just like

611
00:32:13,680 --> 00:32:17,040
Speaker 1: putting aside the moral responsibility the country has for safely

612
00:32:17,080 --> 00:32:21,280
Speaker 1: welcoming migrants into the country, like the so the nonpartisan

613
00:32:21,360 --> 00:32:25,640
Speaker 1: Congressional Budget Office projected a smaller deficit and national debt

614
00:32:25,720 --> 00:32:30,040
Speaker 1: than last year because of an unprecedented spike, like not

615
00:32:30,280 --> 00:32:34,560
Speaker 1: unprecedent but like just normal pre pandemic levels of immigration.

616
00:32:34,800 --> 00:32:37,480
Speaker 1: Like it's the thing that is allowing the US economy

617
00:32:37,560 --> 00:32:42,440
Speaker 1: to bounce back, is immigration going back to pre pandemic levels.

618
00:32:42,720 --> 00:32:45,160
Speaker 3: But if there's immigrants, my wages go down.

619
00:32:45,760 --> 00:32:49,160
Speaker 1: No that your wages actually go up, Like that's the

620
00:32:49,200 --> 00:32:52,640
Speaker 1: other Yeah, it's good for like that's the there's just

621
00:32:52,760 --> 00:32:56,320
Speaker 1: so many details of this argument that we've been hearing

622
00:32:56,400 --> 00:33:00,320
Speaker 1: for fucking decades that just like aren't true, and like

623
00:33:00,400 --> 00:33:04,120
Speaker 1: the mainstream media has just been allowing, like Fox News

624
00:33:04,160 --> 00:33:07,400
Speaker 1: to say them and not being like, actually, no, it's

625
00:33:07,880 --> 00:33:11,480
Speaker 1: the opposite of that. The immigrants boot. So there's a

626
00:33:11,640 --> 00:33:14,720
Speaker 1: study that showed immigrants boost the economy by sparking innovation,

627
00:33:14,960 --> 00:33:19,280
Speaker 1: driving up wages, driving up wages like across the board,

628
00:33:19,560 --> 00:33:22,880
Speaker 1: as well as appealing to foreign investors opening long term

629
00:33:23,080 --> 00:33:25,840
Speaker 1: export opportunities. So it's like all the shit that the

630
00:33:25,840 --> 00:33:29,040
Speaker 1: mainstream media loves to talk about, Like you think about

631
00:33:29,040 --> 00:33:31,560
Speaker 1: your country as an investment, it's like all that stuff

632
00:33:32,000 --> 00:33:35,680
Speaker 1: immigration like drives that is like the best thing for that.

633
00:33:36,320 --> 00:33:39,120
Speaker 1: There's this one article that notes that the so called

634
00:33:39,160 --> 00:33:44,920
Speaker 1: immigration surplus boosts the GDP and raises incomes for non immigrants.

635
00:33:45,160 --> 00:33:48,440
Speaker 1: And if you're wondering what left wing rag printed that story,

636
00:33:48,720 --> 00:33:53,040
Speaker 1: it's the goddamn George W. Bush Institute.

637
00:33:54,280 --> 00:33:55,120
Speaker 4: I didn't even know that.

638
00:33:57,920 --> 00:34:00,440
Speaker 1: Oh, Blair, you must. I've got some more articles I

639
00:34:00,920 --> 00:34:02,440
Speaker 1: have to share with you there, Yes.

640
00:34:02,400 --> 00:34:03,560
Speaker 4: Please do thank you.

641
00:34:04,400 --> 00:34:07,760
Speaker 3: Painting workshops, yeah, yes, how to draw an apple tree?

642
00:34:08,160 --> 00:34:12,760
Speaker 4: Oh and there's like elderly art galleries and stuff.

643
00:34:13,280 --> 00:34:15,719
Speaker 3: Yeah yeah, and good studies on immigration.

644
00:34:16,360 --> 00:34:18,960
Speaker 4: Wow, beautiful, so well rounded.

645
00:34:19,560 --> 00:34:23,880
Speaker 1: He's yeah, a true renaissance man dynamic. He can both

646
00:34:24,040 --> 00:34:26,640
Speaker 1: lead directly to the deaths of all the soldiers and

647
00:34:26,719 --> 00:34:29,520
Speaker 1: do a like c plus job of painting them after

648
00:34:29,560 --> 00:34:33,040
Speaker 1: they died. He's got all the bases covered. The US

649
00:34:33,080 --> 00:34:36,120
Speaker 1: Department of Health and Human Services published a groundbreaking report

650
00:34:36,160 --> 00:34:39,719
Speaker 1: which concluded that refugees and assi les had a positive

651
00:34:39,760 --> 00:34:42,920
Speaker 1: net fiscal impact on the US government over a fifteen

652
00:34:43,000 --> 00:34:45,839
Speaker 1: year period, totally one hundred and twenty three point eight

653
00:34:45,920 --> 00:34:50,319
Speaker 1: billion dollars. Again, like, I think it's weird to like

654
00:34:50,600 --> 00:34:53,640
Speaker 1: quantify people human lives and like the need to do

655
00:34:53,719 --> 00:34:57,600
Speaker 1: the morally correct thing in dollar figures. But it is

656
00:34:58,360 --> 00:35:03,840
Speaker 1: the like the main stream, like supposedly left leaning media

657
00:35:04,800 --> 00:35:07,799
Speaker 1: is allowing. It is just like leaving all this shit

658
00:35:07,880 --> 00:35:11,000
Speaker 1: on the table that they love talking about or even.

659
00:35:10,840 --> 00:35:13,720
Speaker 3: Like perspective, right, because there's always like this handring about

660
00:35:13,760 --> 00:35:16,359
Speaker 3: like I mean, you know, because many people are sort

661
00:35:16,400 --> 00:35:18,440
Speaker 3: of bought into this idea. It's like we're letting too

662
00:35:18,480 --> 00:35:22,000
Speaker 3: many people into the country. But if you actually add

663
00:35:22,000 --> 00:35:24,480
Speaker 3: some context to that, we're like really low on the

664
00:35:24,560 --> 00:35:27,280
Speaker 3: list of developed nations that are actually, like the amount

665
00:35:27,280 --> 00:35:30,200
Speaker 3: of people that are entering the United States as immigrants

666
00:35:30,239 --> 00:35:31,879
Speaker 3: is completely different than you know.

667
00:35:31,960 --> 00:35:35,840
Speaker 1: We're between forty and forty one on the legal immigration

668
00:35:36,640 --> 00:35:41,440
Speaker 1: list and like thirty fifth on overall immigration, so right, yeah,

669
00:35:41,640 --> 00:35:42,640
Speaker 1: like behind.

670
00:35:42,680 --> 00:35:44,879
Speaker 3: Like in terms of per capita, per capita.

671
00:35:44,640 --> 00:35:46,239
Speaker 1: Per capita immigration.

672
00:35:46,400 --> 00:35:46,560
Speaker 3: Yeah.

673
00:35:46,640 --> 00:35:51,640
Speaker 1: Yeah, So it feels like the main issue is that

674
00:35:51,920 --> 00:35:56,080
Speaker 1: because of racist fear and these tropes that like immigration's

675
00:35:56,120 --> 00:35:58,799
Speaker 1: bad for the economy and like bad for just the

676
00:35:58,880 --> 00:36:03,160
Speaker 1: country in general. Safety safety, Oh yeah, and by the way, safety,

677
00:36:03,480 --> 00:36:08,640
Speaker 1: first generation immigrants are the least likely people to commit crimes,

678
00:36:08,960 --> 00:36:12,759
Speaker 1: Like across the board, they are, Like this is a

679
00:36:12,880 --> 00:36:16,319
Speaker 1: thing that's obviously raised repeatedly by the right wing when

680
00:36:16,320 --> 00:36:18,600
Speaker 1: it comes to immigration. Immigrants are far less likely to

681
00:36:18,600 --> 00:36:22,719
Speaker 1: commit crimes than people born here in any demographic, just

682
00:36:22,880 --> 00:36:26,280
Speaker 1: across the board. A new Stanford white patriots are even

683
00:36:26,560 --> 00:36:30,279
Speaker 1: white patriots. Stanford study found immigrants are less likely to

684
00:36:30,320 --> 00:36:33,800
Speaker 1: be incarcerated for a crime the native born white Americans.

685
00:36:34,320 --> 00:36:37,680
Speaker 1: And this has been true since the eighties, and by

686
00:36:37,680 --> 00:36:41,040
Speaker 1: that I mean the eighteen eighties. It's just straight up

687
00:36:41,239 --> 00:36:46,640
Speaker 1: always been true that immigrant has come, they do great work,

688
00:36:47,120 --> 00:36:50,920
Speaker 1: they pay, like they pay into like Social Security. There's

689
00:36:50,960 --> 00:36:53,879
Speaker 1: like all this money coming in. They you know, they

690
00:36:53,920 --> 00:36:58,319
Speaker 1: pay taxes, they don't commit crimes all like just we

691
00:36:58,400 --> 00:37:03,239
Speaker 1: have massive troves of data that say that, like this

692
00:37:03,320 --> 00:37:07,560
Speaker 1: is the best thing that the US has going for

693
00:37:07,600 --> 00:37:11,040
Speaker 1: it is that people want to come here, and when

694
00:37:11,080 --> 00:37:14,000
Speaker 1: they do, they do great work essentially, and they don't

695
00:37:14,000 --> 00:37:18,480
Speaker 1: commit crimes. Basically the opposite of all the bullshit that

696
00:37:18,920 --> 00:37:23,480
Speaker 1: it dominates mainstream media accounts of immigration. But because of

697
00:37:23,600 --> 00:37:28,280
Speaker 1: racism and white supremacy, they like it becomes a political issue,

698
00:37:28,560 --> 00:37:32,520
Speaker 1: and then they don't fund this like intake systems, the

699
00:37:32,560 --> 00:37:36,719
Speaker 1: systems for like bringing these people in and safely like

700
00:37:37,000 --> 00:37:41,520
Speaker 1: integrating them into the society. And so now you need

701
00:37:41,600 --> 00:37:44,560
Speaker 1: to be seeking asylum, you need to be like fleeing

702
00:37:44,600 --> 00:37:47,759
Speaker 1: something terrifying, and then they don't fund that and they

703
00:37:47,760 --> 00:37:52,640
Speaker 1: don't have the necessary infrastructure to like help those people in,

704
00:37:52,680 --> 00:37:56,399
Speaker 1: and so you have these areas that are just like

705
00:37:56,719 --> 00:37:59,640
Speaker 1: overwhelmed with people. But it's not because there are too

706
00:37:59,680 --> 00:38:02,880
Speaker 1: many people. Again, Miles, like you said, we are low

707
00:38:03,000 --> 00:38:06,560
Speaker 1: on the list of per capita immigration. It's it's not

708
00:38:06,640 --> 00:38:08,799
Speaker 1: that we had there are too many people for the

709
00:38:08,920 --> 00:38:11,920
Speaker 1: US to handle. It's just the US is hit choosing

710
00:38:12,120 --> 00:38:15,920
Speaker 1: not to handle the people because of racism.

711
00:38:16,440 --> 00:38:19,600
Speaker 3: Well, and also like we're constantly meant to think that

712
00:38:19,640 --> 00:38:22,359
Speaker 3: we're living in this like fucked up zero sum game too,

713
00:38:22,480 --> 00:38:24,680
Speaker 3: where it's like there's just no there's nothing, there's just

714
00:38:24,760 --> 00:38:27,879
Speaker 3: not like we can't handle anything. If that happens, then

715
00:38:27,920 --> 00:38:30,359
Speaker 3: you lose something. Like That's always how so many things

716
00:38:30,400 --> 00:38:34,120
Speaker 3: are framed, Like when we're trying to progress societally, it's like, well,

717
00:38:34,160 --> 00:38:36,840
Speaker 3: if those people do better, then you're going to lose something.

718
00:38:37,239 --> 00:38:39,520
Speaker 3: It's like always like sort of the default context that

719
00:38:39,560 --> 00:38:41,959
Speaker 3: we're operating in or how these things are presented. But yeah,

720
00:38:42,239 --> 00:38:44,799
Speaker 3: like you say, all these charts make it look like

721
00:38:44,920 --> 00:38:46,760
Speaker 3: line go up, right.

722
00:38:46,719 --> 00:38:49,239
Speaker 1: All the charts, all those charts that y'all seem to

723
00:38:49,280 --> 00:38:51,880
Speaker 1: love is line go up and does not seem to

724
00:38:51,920 --> 00:38:54,799
Speaker 1: matter in this case. You seem to be very selective

725
00:38:54,840 --> 00:38:57,440
Speaker 1: of when you care about line go up. Yeah, So

726
00:38:58,120 --> 00:39:00,640
Speaker 1: it really I feel like a lot of it is

727
00:39:00,760 --> 00:39:04,319
Speaker 1: just like, yeah, I think their music's weird, man, Like

728
00:39:04,360 --> 00:39:07,200
Speaker 1: I don't. I don't like their music, you know, like

729
00:39:07,280 --> 00:39:09,840
Speaker 1: the ship that the same fear that like old people

730
00:39:09,880 --> 00:39:12,399
Speaker 1: have of young people. I feel like it's just that

731
00:39:12,800 --> 00:39:15,120
Speaker 1: it's like they're different, and so I don't I don't

732
00:39:15,120 --> 00:39:17,200
Speaker 1: want it in my country, Like I don't want to

733
00:39:17,239 --> 00:39:18,399
Speaker 1: be replaced by that.

734
00:39:18,840 --> 00:39:21,600
Speaker 3: And it's just mm hmmm. It's like, well, you're going

735
00:39:21,640 --> 00:39:23,319
Speaker 3: to be replaced either way, because you're going to be

736
00:39:23,360 --> 00:39:26,880
Speaker 3: replaced and the thing that you're working demographically or because

737
00:39:26,880 --> 00:39:30,640
Speaker 3: of your existence. But that's inevitable. So let's embrace the

738
00:39:30,680 --> 00:39:33,600
Speaker 3: thing that helps people. And also, like I think that's

739
00:39:33,640 --> 00:39:35,120
Speaker 3: the other part too, Like we were talking about this

740
00:39:35,160 --> 00:39:37,880
Speaker 3: with Alec Krri Cottennis is like there's so many like

741
00:39:38,719 --> 00:39:40,799
Speaker 3: so much of the reason people end up having to

742
00:39:40,840 --> 00:39:45,400
Speaker 3: flee their countries typically intersects with US imperialism at some point. Yeah,

743
00:39:45,440 --> 00:39:48,400
Speaker 3: and it's like yeah, maybe, I mean, look, we.

744
00:39:48,400 --> 00:39:51,960
Speaker 1: Could have a great perpetual machine where we export imperialism,

745
00:39:52,080 --> 00:39:54,839
Speaker 1: make their countries unlivable and then take them in if

746
00:39:54,840 --> 00:39:57,319
Speaker 1: we were just if we just embrace it, you know,

747
00:39:57,480 --> 00:39:58,360
Speaker 1: and then we would.

748
00:39:58,239 --> 00:40:00,440
Speaker 3: The Olympics at every competition.

749
00:40:01,920 --> 00:40:04,279
Speaker 1: Get really good at soccer. Finally, you know.

750
00:40:04,920 --> 00:40:06,359
Speaker 3: Oh, we run the way, We're on our way, We're

751
00:40:06,400 --> 00:40:06,839
Speaker 3: on our way.

752
00:40:07,239 --> 00:40:09,239
Speaker 1: Are we about to get our ass kicked in the

753
00:40:09,280 --> 00:40:10,920
Speaker 1: Olympics or I feel.

754
00:40:10,640 --> 00:40:14,360
Speaker 3: Like Copa America, Copa America, that's the that's that's the

755
00:40:14,400 --> 00:40:15,000
Speaker 3: next tournament.

756
00:40:15,080 --> 00:40:17,560
Speaker 1: But no, they're doing all right because.

757
00:40:17,600 --> 00:40:20,720
Speaker 3: Precisely that because it's like it's you know, servicemen abroad,

758
00:40:20,920 --> 00:40:23,640
Speaker 3: and also because of like people who come from countries

759
00:40:23,680 --> 00:40:26,520
Speaker 3: with strong soccer cultures are making sure they look for

760
00:40:26,600 --> 00:40:29,280
Speaker 3: even even the American sports argument immigration.

761
00:40:29,360 --> 00:40:30,880
Speaker 4: Yeah, we got a lot of big We got a

762
00:40:30,920 --> 00:40:33,719
Speaker 4: lot of big, big people in our country too.

763
00:40:34,480 --> 00:40:36,920
Speaker 1: Yeah, we have I think compared.

764
00:40:36,560 --> 00:40:41,960
Speaker 3: To others, right, do we have the I feel like

765
00:40:42,000 --> 00:40:44,799
Speaker 3: Americans are how what do you see, like which country

766
00:40:45,160 --> 00:40:46,360
Speaker 3: is the biggest bodies?

767
00:40:46,920 --> 00:40:49,279
Speaker 4: Yeah, Like we got a lot of antibiotics in our

768
00:40:49,280 --> 00:40:52,160
Speaker 4: food and ship like that growth hormones, don't you think.

769
00:40:53,080 --> 00:40:55,400
Speaker 3: Yeah, let's see, maybe.

770
00:40:55,160 --> 00:40:58,080
Speaker 4: Not resonant for soccer, but for other sports, you know.

771
00:40:58,800 --> 00:41:01,080
Speaker 4: Oh yeah, I mean I still need to be a tally.

772
00:41:01,200 --> 00:41:03,440
Speaker 4: For soccer, you got to be like a little quickie.

773
00:41:03,480 --> 00:41:05,400
Speaker 3: You gotta be quick man. So about that lateral speed,

774
00:41:05,480 --> 00:41:06,120
Speaker 3: fast twitch.

775
00:41:06,200 --> 00:41:09,000
Speaker 1: Yeah, Dutch people are the tallest in the world.

776
00:41:09,920 --> 00:41:10,800
Speaker 3: You're the tallest.

777
00:41:11,360 --> 00:41:12,879
Speaker 4: Why are they so tall over there?

778
00:41:12,920 --> 00:41:15,160
Speaker 1: You know, I don't know, but we get we got

779
00:41:15,160 --> 00:41:17,120
Speaker 1: the body mask we have to be top in the

780
00:41:17,120 --> 00:41:18,280
Speaker 1: body mass.

781
00:41:18,000 --> 00:41:22,160
Speaker 3: That Pacific Pacific Islanders too, Yes, let's go.

782
00:41:22,480 --> 00:41:26,719
Speaker 4: Also yeah, and also we got like a lot of

783
00:41:27,719 --> 00:41:30,080
Speaker 4: like protein culture I.

784
00:41:30,000 --> 00:41:34,320
Speaker 3: Feel here, yeah, yeah, at the expense of our health declining.

785
00:41:34,840 --> 00:41:39,359
Speaker 3: Expected life expectancy dropped for the second year in a row.

786
00:41:39,840 --> 00:41:40,439
Speaker 4: Is that true.

787
00:41:40,840 --> 00:41:43,359
Speaker 3: Yeah, yeah, it's like it's that's like a historic it's

788
00:41:43,400 --> 00:41:44,880
Speaker 3: never happened before too. Straight.

789
00:41:45,000 --> 00:41:48,320
Speaker 4: My grandma and great Antie just died at like ninety

790
00:41:48,320 --> 00:41:50,279
Speaker 4: eight and ninety seven, and then I just went to

791
00:41:50,320 --> 00:41:54,719
Speaker 4: my other great aunties one hundredth year birthday, and then

792
00:41:54,760 --> 00:41:58,319
Speaker 4: I think these people were like smoking and drinking and

793
00:41:58,400 --> 00:42:00,920
Speaker 4: stuff like I don't know what makes sense.

794
00:42:01,040 --> 00:42:03,160
Speaker 3: Fully, I wonder how much of it too, is like

795
00:42:03,160 --> 00:42:05,520
Speaker 3: because I think about that with like my mom's mom

796
00:42:05,600 --> 00:42:07,279
Speaker 3: in Japan, she lived to be one hundred and one,

797
00:42:07,800 --> 00:42:11,319
Speaker 3: and it's like she didn't start eats. She didn't start

798
00:42:11,360 --> 00:42:15,160
Speaker 3: eating like processed food until like the seventies, so a

799
00:42:15,440 --> 00:42:18,160
Speaker 3: huge majority of her life is like I was growing

800
00:42:18,280 --> 00:42:21,840
Speaker 3: food or like eating food we made by hand, whereas

801
00:42:21,920 --> 00:42:24,839
Speaker 3: now I need my two cans of pringles.

802
00:42:25,920 --> 00:42:28,799
Speaker 4: I know, I know, it's very sad we've gone so

803
00:42:28,880 --> 00:42:31,839
Speaker 4: far away. I feel like Japan. Is Japan one of

804
00:42:32,200 --> 00:42:34,839
Speaker 4: like the what are they called those places, like the.

805
00:42:34,719 --> 00:42:37,360
Speaker 1: Blue blue blue zone, Yeah.

806
00:42:37,200 --> 00:42:37,960
Speaker 4: The blue zone.

807
00:42:38,440 --> 00:42:40,400
Speaker 3: Yeah yeah, I mean it definitely has like some of

808
00:42:40,400 --> 00:42:42,040
Speaker 3: the highest life expectancy.

809
00:42:42,200 --> 00:42:44,959
Speaker 1: I used to yeah, by the way, not sure. Cheese

810
00:42:44,960 --> 00:42:48,040
Speaker 1: Doritos introduced them the seventies, nineteen seventy two.

811
00:42:48,400 --> 00:42:50,520
Speaker 4: So Jack, you're sick and you need God.

812
00:42:53,400 --> 00:42:55,440
Speaker 1: And that's not I wasn't reading that off the internet.

813
00:42:55,440 --> 00:42:57,480
Speaker 1: I was reading that off the tattoo that I have

814
00:42:57,560 --> 00:42:58,640
Speaker 1: on the inside of my arm.

815
00:43:00,360 --> 00:43:00,920
Speaker 6: Very nice.

816
00:43:01,040 --> 00:43:03,640
Speaker 3: Hong Kong, Macau and Japan are the top.

817
00:43:03,480 --> 00:43:10,320
Speaker 1: Three the the longest, then Switzerland, Singapore, Italy Blair.

818
00:43:10,520 --> 00:43:15,640
Speaker 4: Yeah, let's go I had crazy pollution like that. There

819
00:43:15,680 --> 00:43:17,799
Speaker 4: was a lot of lung cancer there is That not true?

820
00:43:18,000 --> 00:43:21,400
Speaker 3: Their life on average eighty five point eight three years

821
00:43:21,400 --> 00:43:21,960
Speaker 3: for both.

822
00:43:22,040 --> 00:43:23,920
Speaker 4: WHOA, that's high as how.

823
00:43:25,600 --> 00:43:27,640
Speaker 1: Great Hong Kong, I've never heard that. I've always heard

824
00:43:27,719 --> 00:43:30,839
Speaker 1: Japan that one town in California.

825
00:43:30,320 --> 00:43:36,600
Speaker 3: Due from c I A dot gov because I never got.

826
00:43:36,600 --> 00:43:39,560
Speaker 1: To here's some here's a problem we got to fix guys.

827
00:43:41,040 --> 00:43:43,960
Speaker 3: Well, actually, their latest one says Monaco has the highest

828
00:43:44,000 --> 00:43:45,360
Speaker 3: What the fuck are they doing in Monaco?

829
00:43:45,480 --> 00:43:50,360
Speaker 1: They're just rich as fuck. I know, gambling, Yeah.

830
00:43:50,120 --> 00:43:54,960
Speaker 4: Damn to eat ship like Doiredo's. They're at the gambling

831
00:43:55,280 --> 00:43:58,480
Speaker 4: the craps table a like good for you.

832
00:43:58,920 --> 00:44:01,640
Speaker 1: They're like, I actually got all my macros through these

833
00:44:02,080 --> 00:44:04,040
Speaker 1: special millionaire.

834
00:44:04,520 --> 00:44:07,800
Speaker 3: Really good, really good for your gut biome Monico.

835
00:44:08,080 --> 00:44:09,560
Speaker 4: Yeah, they don't have.

836
00:44:11,800 --> 00:44:12,120
Speaker 1: What do you?

837
00:44:12,160 --> 00:44:16,040
Speaker 3: What's the adjective for Monica it is?

838
00:44:16,600 --> 00:44:16,960
Speaker 1: I think?

839
00:44:17,000 --> 00:44:25,439
Speaker 3: So wow, Hey monicin Monk one time or Monic canty all.

840
00:44:25,400 --> 00:44:29,000
Speaker 4: Right, monic gas is kind of cool though, that goes.

841
00:44:29,840 --> 00:44:35,560
Speaker 3: Yeah, yeah, I'm changing. I'm changing. I'm changing my nationality.

842
00:44:35,600 --> 00:44:36,400
Speaker 3: I'm monogasque.

843
00:44:36,840 --> 00:44:37,279
Speaker 1: There you go.

844
00:44:37,680 --> 00:44:37,960
Speaker 6: Thank you.

845
00:44:38,000 --> 00:44:40,439
Speaker 4: Didn't know you could do that, Miles.

846
00:44:40,480 --> 00:44:42,120
Speaker 1: That's actually his superpower.

847
00:44:42,239 --> 00:44:44,560
Speaker 3: Kind of problematic when I go to ethnic restaurants, but

848
00:44:44,640 --> 00:44:48,520
Speaker 3: hey yeah.

849
00:44:48,080 --> 00:44:51,279
Speaker 1: Or and by ethnic restaurants, he means the cheesecake factory. Yes,

850
00:44:51,440 --> 00:44:59,839
Speaker 1: thank you, just like ethnicity firecracker chicken. All right, let's

851
00:44:59,840 --> 00:45:03,080
Speaker 1: take a quick break and we'll be back to hear

852
00:45:03,200 --> 00:45:18,120
Speaker 1: about the cheating husband who blame Apple, And we're back,

853
00:45:18,600 --> 00:45:24,200
Speaker 1: and so RFK Junior did not qualify for the CNN Debates.

854
00:45:24,200 --> 00:45:28,640
Speaker 1: Were guys making a lot of metric? I didn't qualify

855
00:45:28,800 --> 00:45:32,799
Speaker 1: for So CNN's polling threshold of fifteen percent in at

856
00:45:32,920 --> 00:45:38,560
Speaker 1: least four approved national polls. Okay, so he got to three.

857
00:45:39,040 --> 00:45:42,280
Speaker 1: So congratulations. This was the big detail that I feel

858
00:45:42,280 --> 00:45:45,920
Speaker 1: like is being under emphasized in the mainstream media. He

859
00:45:45,960 --> 00:45:50,560
Speaker 1: also fell short of the ballot requirements to secure access

860
00:45:51,040 --> 00:45:54,640
Speaker 1: in enough states to win two hundred and seventy electoral votes.

861
00:45:55,160 --> 00:45:59,319
Speaker 1: So he this person who's like being given this much

862
00:45:59,360 --> 00:46:05,040
Speaker 1: media attention is mathematically eliminated before the election starts.

863
00:46:05,280 --> 00:46:09,960
Speaker 3: Well, that's I think you're focusing on the wrong stuff. Agree,

864
00:46:10,000 --> 00:46:13,840
Speaker 3: because he also hold On ticked. He ticked a couple

865
00:46:13,800 --> 00:46:16,479
Speaker 3: of boxes. Is he at least thirty five years old

866
00:46:16,520 --> 00:46:17,600
Speaker 3: to run for president?

867
00:46:18,080 --> 00:46:18,440
Speaker 6: Yes?

868
00:46:19,000 --> 00:46:24,600
Speaker 3: And I was born? Was he born of the United States?

869
00:46:25,160 --> 00:46:26,040
Speaker 1: Yes? He was.

870
00:46:26,280 --> 00:46:31,200
Speaker 3: Did he file for his candidacy with the Federal Commission?

871
00:46:31,600 --> 00:46:36,239
Speaker 1: Yes? Yeah, thank you giving it? Yeah?

872
00:46:36,520 --> 00:46:38,759
Speaker 3: Fucking white and vomited backstage.

873
00:46:39,320 --> 00:46:40,440
Speaker 6: Yeah, this is all.

874
00:46:40,800 --> 00:46:41,520
Speaker 3: It's all bad.

875
00:46:42,040 --> 00:46:42,879
Speaker 6: I mean, it is true.

876
00:46:43,200 --> 00:46:45,480
Speaker 3: You don't dude, even if you tried, I think the

877
00:46:45,560 --> 00:46:48,920
Speaker 3: most he can get to like one sixty something, that's wild.

878
00:46:49,600 --> 00:46:53,080
Speaker 1: So it's all just to prove a high minded point,

879
00:46:53,120 --> 00:46:55,279
Speaker 1: like this is what's frustrated, Like at that after the

880
00:46:55,280 --> 00:46:59,279
Speaker 1: two thousand election, after you know, like Bernie made a

881
00:46:59,360 --> 00:47:01,319
Speaker 1: run and then I was like, oh, the Democratic Party

882
00:47:01,360 --> 00:47:04,399
Speaker 1: will never allow something like that to happen. I think

883
00:47:04,440 --> 00:47:06,640
Speaker 1: a lot of us were like, I wonder if there's

884
00:47:06,640 --> 00:47:10,719
Speaker 1: ever a path to a third party candidate, And so

885
00:47:10,760 --> 00:47:15,279
Speaker 1: the fact that he's doing this and is like a

886
00:47:15,280 --> 00:47:19,480
Speaker 1: lot of the arguments he's making are also the arguments

887
00:47:19,520 --> 00:47:22,720
Speaker 1: that I'm like, yeah, no, if if you were trying

888
00:47:22,760 --> 00:47:28,880
Speaker 1: to prove a point other than that presidential candidates should

889
00:47:29,239 --> 00:47:33,239
Speaker 1: do their own medicine and science, like, you know, like,

890
00:47:33,280 --> 00:47:37,120
Speaker 1: if you had an actual point to make, I think

891
00:47:37,160 --> 00:47:41,080
Speaker 1: other than do your own research, I would be like,

892
00:47:41,440 --> 00:47:44,279
Speaker 1: on board, we need it to be easier for there

893
00:47:44,400 --> 00:47:48,560
Speaker 1: to be a third party candidate. But this guy fuckings it's.

894
00:47:48,520 --> 00:47:56,960
Speaker 3: Inspiration, it's inspirational. Survivors can run for president. But the

895
00:47:57,000 --> 00:47:58,919
Speaker 3: thing that I think is also kind of wild too,

896
00:47:58,960 --> 00:48:02,240
Speaker 3: is like, you don't it doesn't This also doesn't preclude

897
00:48:02,280 --> 00:48:04,239
Speaker 3: him from running. It's like, do you even have the

898
00:48:04,320 --> 00:48:06,600
Speaker 3: votes to be president? Nah? All right, man, you can

899
00:48:06,680 --> 00:48:09,160
Speaker 3: keep running? All good? Yeah, nothing bars you from that?

900
00:48:09,200 --> 00:48:10,840
Speaker 3: Would say do you have the votes to stop me?

901
00:48:11,760 --> 00:48:11,960
Speaker 1: Yeah?

902
00:48:13,760 --> 00:48:13,920
Speaker 2: Wait?

903
00:48:14,120 --> 00:48:14,200
Speaker 1: What?

904
00:48:14,480 --> 00:48:14,960
Speaker 3: Yeah?

905
00:48:16,080 --> 00:48:19,680
Speaker 1: Perfect dunk guy logic you really do doing a weekly podcast,

906
00:48:22,000 --> 00:48:24,920
Speaker 1: let me ask you this, Can you kick my ass

907
00:48:26,040 --> 00:48:27,480
Speaker 1: Chris Rock's Special?

908
00:48:27,880 --> 00:48:32,399
Speaker 5: Yeah, yeah, you think about a third Let's think about

909
00:48:32,400 --> 00:48:33,480
Speaker 5: a real third party.

910
00:48:33,719 --> 00:48:35,880
Speaker 6: We're not we are not going to have a third

911
00:48:35,960 --> 00:48:41,439
Speaker 6: party candidate until we've this is sort of a chicken

912
00:48:41,480 --> 00:48:44,839
Speaker 6: and anything, until we've had a third party president, like

913
00:48:45,239 --> 00:48:47,719
Speaker 6: the person we're gonna have a third party, until the

914
00:48:47,760 --> 00:48:52,360
Speaker 6: person who is running in the third party like wins.

915
00:48:52,680 --> 00:48:54,200
Speaker 3: Yeah, well, I mean I think more than that, Like

916
00:48:54,200 --> 00:48:56,720
Speaker 3: there actually needs to be more like third party people

917
00:48:56,760 --> 00:48:59,120
Speaker 3: in Congress. That's really the building blocks you need, is

918
00:48:59,160 --> 00:49:02,400
Speaker 3: like you gotta are getting people in Congress first before

919
00:49:02,680 --> 00:49:05,160
Speaker 3: you can't just jump You can't just skip to the

920
00:49:05,200 --> 00:49:07,600
Speaker 3: oval from there. Like yeah, I mean, I think that's

921
00:49:07,760 --> 00:49:10,359
Speaker 3: the trouble that especially on like the left has with

922
00:49:10,520 --> 00:49:13,799
Speaker 3: like the two party system is figuring out what the

923
00:49:13,800 --> 00:49:17,480
Speaker 3: best best path into that is. But the only way

924
00:49:17,480 --> 00:49:20,920
Speaker 3: to start is to actually run people for Congress and

925
00:49:20,920 --> 00:49:23,359
Speaker 3: at least get a foothold there because otherwise, yeah, it's

926
00:49:23,360 --> 00:49:25,319
Speaker 3: going to be very difficult. But I think, like with

927
00:49:25,480 --> 00:49:29,400
Speaker 3: rfk's campaign, the thing is even before all these you

928
00:49:29,440 --> 00:49:35,920
Speaker 3: know numbers that mathematically quote preclude him from winning the presidency.

929
00:49:36,440 --> 00:49:40,319
Speaker 3: Like the campaign was just fucking wobbly as shit, like

930
00:49:40,360 --> 00:49:43,440
Speaker 3: they were not making they weren't raising any money. He

931
00:49:43,520 --> 00:49:47,000
Speaker 3: brought in that tech person Nicole Shanahan to be his

932
00:49:47,120 --> 00:49:49,720
Speaker 3: vice president to put her own money in. It wasn't enough.

933
00:49:50,080 --> 00:49:53,360
Speaker 3: Like the biggest person bankrolling this is like a Trump donor.

934
00:49:53,840 --> 00:49:55,680
Speaker 3: He was even doing stuff. He's like, hey, man, if

935
00:49:55,719 --> 00:49:59,160
Speaker 3: you fucking donate whatever donations you can get, I'll give

936
00:49:59,200 --> 00:50:02,200
Speaker 3: you fifteen per of whatever you gave to me. Let's

937
00:50:02,200 --> 00:50:06,280
Speaker 3: just split it fifteen eighty five And wait what Yes,

938
00:50:07,120 --> 00:50:09,600
Speaker 3: he was trying to again to bring the sharks into it,

939
00:50:09,680 --> 00:50:13,279
Speaker 3: chum the waters by promising a fifteen percent return on

940
00:50:13,320 --> 00:50:14,680
Speaker 3: whatever you helped fundraise.

941
00:50:15,960 --> 00:50:19,480
Speaker 1: Dark money goes in the water, You go in the water, exactly,

942
00:50:19,520 --> 00:50:21,120
Speaker 1: it's in the water exactly.

943
00:50:21,480 --> 00:50:24,759
Speaker 3: So yeah, it's it's just all like there's another thing

944
00:50:24,840 --> 00:50:28,200
Speaker 3: they did. It was like there was you could do

945
00:50:28,280 --> 00:50:31,920
Speaker 3: like a luxury sunset sailing adventure, Like he tried to

946
00:50:31,960 --> 00:50:36,120
Speaker 3: do raffles and stuff selling off my language. Yeah, I

947
00:50:36,160 --> 00:50:39,880
Speaker 3: mean water is that in like hyanasport? Like is he

948
00:50:39,960 --> 00:50:42,240
Speaker 3: doing the is he trading in on the Kennedy magic?

949
00:50:42,239 --> 00:50:44,400
Speaker 6: What do we maybe, Yeah, we're on a campaign like

950
00:50:44,440 --> 00:50:45,680
Speaker 6: a school silent.

951
00:50:45,360 --> 00:50:47,120
Speaker 3: Auction exactly, that's what he's doing.

952
00:50:47,480 --> 00:50:50,399
Speaker 6: Yeah, right, or yeah, or I guess you can.

953
00:50:50,880 --> 00:50:51,080
Speaker 3: Yeah.

954
00:50:51,120 --> 00:50:52,680
Speaker 1: It turns out it's like, hey, does your.

955
00:50:52,600 --> 00:50:55,320
Speaker 3: Dad still work in the garage door business? Yeah?

956
00:50:55,480 --> 00:50:58,400
Speaker 1: You think you could like donate a new garage door

957
00:50:58,719 --> 00:51:00,760
Speaker 1: and I could put that in the raw for people.

958
00:51:01,520 --> 00:51:07,240
Speaker 6: Free estimate. We could do a free estimate. Okay, yeah, yeah.

959
00:51:05,800 --> 00:51:09,200
Speaker 3: We'll take that. This thing is not running on anything

960
00:51:09,239 --> 00:51:10,480
Speaker 3: except my brain warms.

961
00:51:11,560 --> 00:51:15,319
Speaker 1: The other thing that he's getting ridiculed for lately is

962
00:51:15,480 --> 00:51:18,480
Speaker 1: claiming that the head of NPR is a CIA agent.

963
00:51:19,080 --> 00:51:21,319
Speaker 1: This is another way he pisses me off because some

964
00:51:21,360 --> 00:51:26,560
Speaker 1: of his conspiracy theories are good. I like the conspiracy

965
00:51:26,600 --> 00:51:30,400
Speaker 1: theory that the head of NPR is the CIA agent. Personally,

966
00:51:30,640 --> 00:51:32,719
Speaker 1: I don't I don't know it to be true. I

967
00:51:32,760 --> 00:51:36,120
Speaker 1: haven't done my own research into this one, but there

968
00:51:36,640 --> 00:51:41,239
Speaker 1: is a history of CIA involvement in American media. I

969
00:51:41,800 --> 00:51:44,360
Speaker 1: doubt the head of NPR is a CIA agent. But

970
00:51:44,840 --> 00:51:47,480
Speaker 1: and then he's also getting made fun of for man,

971
00:51:47,520 --> 00:51:51,000
Speaker 1: he's so close. If his whole thing wasn't just fuck

972
00:51:51,160 --> 00:51:54,719
Speaker 1: science and medicine, I'd be a big fan. Because this

973
00:51:54,800 --> 00:51:57,480
Speaker 1: other thing is like he's he's a weird bird person.

974
00:51:57,920 --> 00:52:01,520
Speaker 1: He's like trying to train ravens in his yard with

975
00:52:01,680 --> 00:52:08,560
Speaker 1: like scraps of meat, which got the bird. He has

976
00:52:08,600 --> 00:52:12,280
Speaker 1: a pet emu that is like constantly attacking Cheryl Hines.

977
00:52:12,760 --> 00:52:15,000
Speaker 6: So he's in his own version of the staircase.

978
00:52:15,400 --> 00:52:16,560
Speaker 1: Yes exactly.

979
00:52:20,080 --> 00:52:22,360
Speaker 3: Yeah, if Cheryl ends up with like a weird what

980
00:52:22,480 --> 00:52:26,280
Speaker 3: he calls raven injury, then we'll know, Yeah, absolutely what happened.

981
00:52:26,280 --> 00:52:28,480
Speaker 6: He could tell by the scratch marks.

982
00:52:29,080 --> 00:52:32,959
Speaker 1: It was definitely a raven dude. And finally Grimace is back.

983
00:52:33,320 --> 00:52:36,480
Speaker 6: Grimace grims left.

984
00:52:35,880 --> 00:52:39,960
Speaker 1: Grimace is like the Kennedys and that we are just

985
00:52:40,120 --> 00:52:45,000
Speaker 1: dying for any way to get him into the zeitgeist.

986
00:52:45,280 --> 00:52:50,880
Speaker 1: Just give us anything. So in this case, Grimace is

987
00:52:50,920 --> 00:52:55,080
Speaker 1: a baseball sensation. So last year it was he put

988
00:52:55,080 --> 00:52:57,520
Speaker 1: out a milkshake that was made of his calm. We

989
00:52:57,800 --> 00:53:00,440
Speaker 1: pointed that out on our show a lot of.

990
00:53:00,400 --> 00:53:01,799
Speaker 6: People a year ago.

991
00:53:02,120 --> 00:53:03,920
Speaker 3: Yeah, off it.

992
00:53:04,320 --> 00:53:07,920
Speaker 1: Then you know McDonald's profited off of it. Was almost

993
00:53:08,000 --> 00:53:11,600
Speaker 1: like we were c i A plants who had been

994
00:53:11,600 --> 00:53:13,560
Speaker 1: put there to make that joke.

995
00:53:13,719 --> 00:53:20,040
Speaker 3: To all agent Gray and O'Brien, you got to get

996
00:53:20,040 --> 00:53:22,520
Speaker 3: people to think this Grimace smoke shake is his come.

997
00:53:23,960 --> 00:53:31,720
Speaker 1: This is so trust is for national securities, not.

998
00:53:31,560 --> 00:53:34,600
Speaker 3: Really just just selling me think interesting to see where

999
00:53:34,600 --> 00:53:34,959
Speaker 3: it goes.

1000
00:53:35,360 --> 00:53:38,520
Speaker 1: All right, all right, this is like the winds of

1001
00:53:38,680 --> 00:53:42,440
Speaker 1: change that like create a meme, a bunch of memes

1002
00:53:42,440 --> 00:53:47,000
Speaker 1: about the Grimmat milkshake. All right, So the Mets are

1003
00:53:47,120 --> 00:53:50,919
Speaker 1: having all I know about the Mets is heading into

1004
00:53:50,920 --> 00:53:53,279
Speaker 1: the season. Their fans are like, but this is like

1005
00:53:54,000 --> 00:53:57,239
Speaker 1: it's a literal super team, Like we have paid all

1006
00:53:57,320 --> 00:53:59,960
Speaker 1: the best players in Major League Baseball to play for

1007
00:54:00,160 --> 00:54:03,040
Speaker 1: the Mets. How could it go wrong? And then the

1008
00:54:03,080 --> 00:54:05,919
Speaker 1: next time I hear about them, they are having a

1009
00:54:06,080 --> 00:54:09,919
Speaker 1: like disastrous season, Like that's those are the two times.

1010
00:54:09,960 --> 00:54:12,200
Speaker 1: Because I don't really like pay that much attention to baseball,

1011
00:54:12,239 --> 00:54:15,520
Speaker 1: so it's like those stories pop up every one. So

1012
00:54:15,600 --> 00:54:17,880
Speaker 1: that happened again this year. They have the highest parle

1013
00:54:18,040 --> 00:54:21,399
Speaker 1: three hundred and eight million dollars. Started the season thirty nine,

1014
00:54:21,719 --> 00:54:26,600
Speaker 1: twenty nine, and thirty seven, and then a little something happened.

1015
00:54:27,200 --> 00:54:32,080
Speaker 1: They invited Grimace to throw out their first pitch and

1016
00:54:32,120 --> 00:54:35,759
Speaker 1: they won that game, and that's it. No, no, no,

1017
00:54:36,400 --> 00:54:40,600
Speaker 1: Then they won, then they won seven more. They won

1018
00:54:40,719 --> 00:54:44,440
Speaker 1: seven in a row after Grimace throughout the pitch, and

1019
00:54:44,520 --> 00:54:51,240
Speaker 1: everybody has been speculating this is Grimace is doing because

1020
00:54:51,280 --> 00:54:55,240
Speaker 1: like some of the wins have come with like bizarre

1021
00:54:55,480 --> 00:55:00,680
Speaker 1: errors by the opponents. Like, so Grimace, this is magic

1022
00:55:00,880 --> 00:55:06,200
Speaker 1: is like malevolent, it's like fucking people up, like it's

1023
00:55:06,280 --> 00:55:11,680
Speaker 1: causing other teams to have errors and fall down and

1024
00:55:11,760 --> 00:55:15,280
Speaker 1: hurt themselves. So I'm just saying, so they they finally

1025
00:55:15,440 --> 00:55:17,840
Speaker 1: the Grimace winning streak came to an end and a

1026
00:55:17,920 --> 00:55:20,120
Speaker 1: lost to the Texas Rangers last night.

1027
00:55:20,920 --> 00:55:22,359
Speaker 3: But get them back out there.

1028
00:55:23,000 --> 00:55:25,960
Speaker 1: Yeah, I mean they weren't gonna win every game. Grimmas

1029
00:55:26,000 --> 00:55:27,239
Speaker 1: can only do so much.

1030
00:55:27,960 --> 00:55:29,719
Speaker 3: If I don't like that. I don't like that kind

1031
00:55:29,719 --> 00:55:32,520
Speaker 3: of limited thinking. I think we really need I think

1032
00:55:32,520 --> 00:55:35,000
Speaker 3: they should lean the fuck into this and hope to

1033
00:55:35,080 --> 00:55:37,759
Speaker 3: fucking God this is what's going on, that Grimace is

1034
00:55:37,800 --> 00:55:40,759
Speaker 3: the savior of their season. I think that's that makes

1035
00:55:41,120 --> 00:55:44,279
Speaker 3: a better Angels than the outfield type movie. Yeah you're

1036
00:55:44,320 --> 00:55:45,320
Speaker 3: just talking about that with Blair.

1037
00:55:46,440 --> 00:55:50,120
Speaker 6: Grimas should be like their JOBU from Yeah, major.

1038
00:55:49,960 --> 00:55:56,760
Speaker 3: League exactly, whatever, their yeah defensive yeah exactly. That always

1039
00:55:56,800 --> 00:56:00,359
Speaker 3: blew my mind when I started watching twenty four and like, yeah,

1040
00:56:00,520 --> 00:56:03,680
Speaker 3: my like movie conscious, like Mike, yeah, like my, like

1041
00:56:03,760 --> 00:56:06,360
Speaker 3: my awareness around Dennis Haysbert's career was like murky, so

1042
00:56:06,400 --> 00:56:09,440
Speaker 3: you showed him, Like, dude, that's fucking Serrano from me

1043
00:56:09,600 --> 00:56:14,560
Speaker 3: to the president is an American. I thought that guy

1044
00:56:14,760 --> 00:56:19,279
Speaker 3: was forwarded so stupid, like just not understanding what a

1045
00:56:19,320 --> 00:56:23,200
Speaker 3: fucking movie is, but also what an insult to the

1046
00:56:23,280 --> 00:56:27,520
Speaker 3: fucking players, Like it's fucking Grimace man. And I get

1047
00:56:27,520 --> 00:56:29,799
Speaker 3: that a lot of it was like self inflicted by

1048
00:56:29,880 --> 00:56:33,200
Speaker 3: their opponents, but that's gotta be terrible for morale when

1049
00:56:33,239 --> 00:56:36,200
Speaker 3: everyone's like, dude, we gotta fucking pray to our Grimace

1050
00:56:36,239 --> 00:56:39,319
Speaker 3: statue tonight because that's what's gonna help you uns.

1051
00:56:39,560 --> 00:56:42,640
Speaker 1: All Right, So I've heard it said baseball player is

1052
00:56:42,680 --> 00:56:46,080
Speaker 1: not always the smartest and in many cases not Like

1053
00:56:46,200 --> 00:56:48,600
Speaker 1: is there a sport of the professional athletes?

1054
00:56:48,640 --> 00:56:50,319
Speaker 3: Is there any sport though, where we would say that

1055
00:56:50,360 --> 00:56:53,520
Speaker 3: we're like, you know those guys, Yeah, I was really smart.

1056
00:56:53,880 --> 00:56:59,800
Speaker 1: Baseball offense or basketball offensive lineman and quarterbacks tend to

1057
00:56:59,800 --> 00:57:02,000
Speaker 1: be really have to be really smart, but.

1058
00:57:02,040 --> 00:57:06,680
Speaker 6: Us really baseball players are insanely superstitious more than I feel, like, yeah,

1059
00:57:06,719 --> 00:57:07,920
Speaker 6: exactly exactly.

1060
00:57:08,239 --> 00:57:12,120
Speaker 1: They're super super right, So they're very superstitious. Yeah, they're

1061
00:57:12,719 --> 00:57:15,040
Speaker 1: I feel like like the the Red Sox had that

1062
00:57:15,080 --> 00:57:19,680
Speaker 1: big turnaround around the team motto that they were the idiots.

1063
00:57:19,720 --> 00:57:23,040
Speaker 1: I think like they they called themselves the idiots. I

1064
00:57:23,160 --> 00:57:27,680
Speaker 1: think in baseball it actually helps to be like proudly

1065
00:57:27,880 --> 00:57:31,520
Speaker 1: stupid in some cases, and so I feel like this

1066
00:57:31,560 --> 00:57:34,640
Speaker 1: would actually be a good thing for them to rally behind,

1067
00:57:35,080 --> 00:57:37,320
Speaker 1: just be like, yeah, great, it's good. Like we we

1068
00:57:37,480 --> 00:57:41,000
Speaker 1: now just like Sarah prayers to Grimace before we go

1069
00:57:41,120 --> 00:57:44,160
Speaker 1: out there, because yeah, it's it's happening one way or another.

1070
00:57:44,200 --> 00:57:46,800
Speaker 1: A player was literally asked how much credit do you

1071
00:57:46,840 --> 00:57:51,520
Speaker 1: give to Grimace during the post win interview, Like literally that.

1072
00:57:52,720 --> 00:57:55,280
Speaker 6: I hope that straight face that player said all of it.

1073
00:57:56,560 --> 00:57:59,360
Speaker 6: We don't give them all the credit.

1074
00:58:00,000 --> 00:58:01,920
Speaker 3: And you're always very articulate, but I want you to

1075
00:58:01,960 --> 00:58:05,520
Speaker 3: be very thoughtful about this next answer. How much credit

1076
00:58:05,800 --> 00:58:11,800
Speaker 3: do you guys get to Grimace for this reason? I mean, hey,

1077
00:58:11,960 --> 00:58:13,600
Speaker 3: you know, I don't know, I don't.

1078
00:58:13,400 --> 00:58:16,560
Speaker 8: Know about coincidence and so you know, I mean, he

1079
00:58:16,680 --> 00:58:20,200
Speaker 8: definitely correlates with us, you know, going on this run,

1080
00:58:20,280 --> 00:58:23,400
Speaker 8: and you know, if that's what you want to attribute

1081
00:58:23,400 --> 00:58:25,320
Speaker 8: it to then then I'm all for it.

1082
00:58:25,360 --> 00:58:28,520
Speaker 3: Whatever it is, let's keep it going. I'm all for it.

1083
00:58:28,600 --> 00:58:29,080
Speaker 1: There it is.

1084
00:58:30,480 --> 00:58:33,960
Speaker 3: I like that like correlation and causation. He was like,

1085
00:58:34,080 --> 00:58:36,760
Speaker 3: keeping the relationship straight even in his answer, I.

1086
00:58:36,760 --> 00:58:40,800
Speaker 1: Know correlate, Well, fuck me. Then this guy's knows correlation causes.

1087
00:58:40,880 --> 00:58:44,920
Speaker 6: This guy is no, you're right this play. Yeah, whatever

1088
00:58:44,960 --> 00:58:46,600
Speaker 6: it is, let's keep it going.

1089
00:58:47,160 --> 00:58:47,400
Speaker 1: Yeah.

1090
00:58:47,480 --> 00:58:49,120
Speaker 3: He like he also doesn't want to lean into it.

1091
00:58:49,120 --> 00:58:50,440
Speaker 3: He's like because he in his mind, he's like, we

1092
00:58:50,440 --> 00:58:51,920
Speaker 3: can't let him know. It's because of Grimace.

1093
00:58:51,960 --> 00:58:55,439
Speaker 1: Man, Now, that makes it look so much like he's

1094
00:58:55,440 --> 00:59:00,280
Speaker 1: coming like that sucks it up. I'm sorry, who is Grimace? Sorry,

1095
00:59:00,280 --> 00:59:02,760
Speaker 1: not the baseball player. I was just looking at a

1096
00:59:02,760 --> 00:59:05,440
Speaker 1: picture of Grimace and his mouth just looks it is

1097
00:59:05,520 --> 00:59:06,840
Speaker 1: like yeah.

1098
00:59:07,400 --> 00:59:10,360
Speaker 6: Plus he's sort of always looking down at his sexual

1099
00:59:10,400 --> 00:59:13,560
Speaker 6: partners saying like that, yeah.

1100
00:59:13,600 --> 00:59:17,439
Speaker 1: His eyeline match does is you know, could be read

1101
00:59:17,480 --> 00:59:20,440
Speaker 1: as pornographic if you are looking to read its lustily.

1102
00:59:20,840 --> 00:59:24,320
Speaker 1: I am, and we are, we always are, and that's

1103
00:59:24,360 --> 00:59:28,240
Speaker 1: why we love you. Daniel van Kirk all right, that's

1104
00:59:28,360 --> 00:59:32,560
Speaker 1: gonna do it for this week's weekly Zeitgeist. Please like

1105
00:59:32,600 --> 00:59:37,080
Speaker 1: and review the show if you like the show means

1106
00:59:37,120 --> 00:59:40,680
Speaker 1: the world to Miles. He he needs your validation, folks.

1107
00:59:41,280 --> 00:59:44,360
Speaker 1: I hope you're having a great weekend and I will

1108
00:59:44,360 --> 01:00:14,080
Speaker 1: talk to him Monday. By Fact