1
00:00:05,519 --> 00:00:09,520
Speaker 1: How you been, Blair, I've been well.

2
00:00:09,600 --> 00:00:10,520
Speaker 2: I think.

3
00:00:12,119 --> 00:00:15,280
Speaker 1: I have no way to know really, but yeah, hey,

4
00:00:15,320 --> 00:00:17,360
Speaker 1: check in with your body really quick. Let's check in

5
00:00:17,400 --> 00:00:21,560
Speaker 1: with our bodies. Let's see where we're at miles you

6
00:00:21,680 --> 00:00:22,079
Speaker 1: know me?

7
00:00:22,239 --> 00:00:22,720
Speaker 2: Well?

8
00:00:23,079 --> 00:00:25,960
Speaker 1: Oh hell yeah, I mean I know a planet. Yeah, yeah,

9
00:00:26,040 --> 00:00:26,560
Speaker 1: you gotta go.

10
00:00:26,760 --> 00:00:29,000
Speaker 2: Next down is how do you really feel?

11
00:00:29,280 --> 00:00:32,640
Speaker 1: Let's bring our consciousness below our necks. Now, let's really

12
00:00:32,680 --> 00:00:37,959
Speaker 1: breathing that light into our chests and let's just exhale

13
00:00:38,000 --> 00:00:40,920
Speaker 1: all that negativity, all that stress come out with this breath.

14
00:00:41,000 --> 00:00:43,880
Speaker 1: Let's get it for seven seconds drained down through the

15
00:00:43,920 --> 00:00:47,239
Speaker 1: bottom of your feet, through the floor, Blair, what's the

16
00:00:47,320 --> 00:00:51,040
Speaker 1: calming breath? Like? Seven? Like the number the number of

17
00:00:51,120 --> 00:00:55,560
Speaker 1: seconds in versus out. Isn't that like, yeah, you're talking

18
00:00:55,640 --> 00:00:56,280
Speaker 1: box breathing.

19
00:00:56,680 --> 00:01:00,480
Speaker 2: What is it like four six six or six six '

20
00:01:00,560 --> 00:01:01,960
Speaker 2: six or some shit like that?

21
00:01:02,200 --> 00:01:13,480
Speaker 3: Oh hell yeah, dude, Hello the Internet, and welcome to

22
00:01:13,560 --> 00:01:15,640
Speaker 3: Season three forty three, Episode three of.

23
00:01:15,760 --> 00:01:18,839
Speaker 1: Dar Daily, Hi Guyac production.

24
00:01:18,520 --> 00:01:19,600
Speaker 4: Of My Heart Radio.

25
00:01:21,560 --> 00:01:25,000
Speaker 3: We were practicing some box breathing and I forgot to

26
00:01:25,080 --> 00:01:28,520
Speaker 3: inhale before I started this one box breathing. This is

27
00:01:28,520 --> 00:01:31,760
Speaker 3: a podcast where we take a deep dive into America

28
00:01:31,880 --> 00:01:33,320
Speaker 3: Shared consciousness.

29
00:01:33,760 --> 00:01:39,400
Speaker 1: What statement? Yeah, what it is hasn't changed the game? Okay, weird.

30
00:01:40,040 --> 00:01:44,640
Speaker 3: It's Thursday, June twentieth, twenty twenty four. Happy birthday to

31
00:01:44,720 --> 00:01:47,760
Speaker 3: my friends Chris and Jose. This is the time of

32
00:01:47,840 --> 00:01:51,200
Speaker 3: year when my wife and a bunch of my best

33
00:01:51,240 --> 00:01:54,200
Speaker 3: friends were all born right around each other. It's the

34
00:01:54,240 --> 00:01:57,040
Speaker 3: time of the year that makes me believe in Uh

35
00:01:57,160 --> 00:01:58,080
Speaker 3: is it astrology?

36
00:01:58,280 --> 00:02:01,520
Speaker 1: Is that the yeah? Actually believe him? But yeah, and

37
00:02:01,560 --> 00:02:04,800
Speaker 1: true love true Could you see yourself being spending your

38
00:02:04,840 --> 00:02:07,440
Speaker 1: life with those friends? It's like as like life partners.

39
00:02:07,680 --> 00:02:11,799
Speaker 1: Do you think, yeah, like in another dimension? Does that work? Oh? Yeah, yeah, okay,

40
00:02:11,840 --> 00:02:12,800
Speaker 1: I like that as the wrong.

41
00:02:12,800 --> 00:02:16,079
Speaker 3: Very unduly married to both of those friends, by the way,

42
00:02:16,800 --> 00:02:20,680
Speaker 3: just a nightmarish marriage, but love both of them.

43
00:02:20,760 --> 00:02:25,079
Speaker 1: Chris and Ship. Well, it is a juneteenth plus one,

44
00:02:25,160 --> 00:02:27,840
Speaker 1: so shout out to everybody yesterday that got time off.

45
00:02:28,240 --> 00:02:31,320
Speaker 1: But also June twentieth is National Hike with a geek day.

46
00:02:31,440 --> 00:02:33,320
Speaker 1: I don't know what the fuck that means. It's national

47
00:02:33,360 --> 00:02:37,480
Speaker 1: I don't even want to look up with that. Queen Aman,

48
00:02:38,000 --> 00:02:40,720
Speaker 1: that's that's like a pastry k o U I g

49
00:02:40,960 --> 00:02:49,799
Speaker 1: n A and Queen Queen Queen National ice Cream Soda Day,

50
00:02:49,800 --> 00:02:52,919
Speaker 1: I know, my bad, National and Milkshake Day. Yeah, throw

51
00:02:52,960 --> 00:02:56,520
Speaker 1: that in a fascist face. Today National American Eagle Day,

52
00:02:57,120 --> 00:02:59,280
Speaker 1: fucking hell Man National Seashell Day.

53
00:02:59,720 --> 00:03:02,919
Speaker 3: Oh of course it because it's also the first fucking

54
00:03:03,040 --> 00:03:03,800
Speaker 3: day of summer.

55
00:03:04,160 --> 00:03:04,919
Speaker 1: You're welcome.

56
00:03:05,240 --> 00:03:06,400
Speaker 4: Hey look at that?

57
00:03:06,680 --> 00:03:07,160
Speaker 1: Yeah?

58
00:03:07,360 --> 00:03:11,120
Speaker 3: Yeah, a throw those pants away or cut them, cut

59
00:03:11,120 --> 00:03:12,360
Speaker 3: them into shorts.

60
00:03:12,160 --> 00:03:14,880
Speaker 1: And un zip your cargo pants that turn into shorts

61
00:03:14,960 --> 00:03:18,200
Speaker 1: like I have. Tick the bottom legs leaves off. Do

62
00:03:18,280 --> 00:03:20,400
Speaker 1: you really have some of those? Hell? Yeah, I do,

63
00:03:20,480 --> 00:03:23,840
Speaker 1: brom my dad, Hell yeah, all right. They're syre like

64
00:03:23,919 --> 00:03:24,799
Speaker 1: baggy you know.

65
00:03:24,880 --> 00:03:28,079
Speaker 3: Okay, no, I believe you.

66
00:03:28,320 --> 00:03:29,919
Speaker 1: Oh you got them right there? Huh?

67
00:03:29,960 --> 00:03:32,120
Speaker 3: And what do you do when you take the legs

68
00:03:32,200 --> 00:03:34,920
Speaker 3: leaves off? Do you repurpose those for?

69
00:03:35,920 --> 00:03:38,280
Speaker 1: Oh? The legs leaves I like to do upside down

70
00:03:38,320 --> 00:03:40,320
Speaker 1: because there's a lastick at the hem. And then I

71
00:03:40,360 --> 00:03:42,400
Speaker 1: cuffed that right below my knee, so it looks like

72
00:03:42,440 --> 00:03:45,000
Speaker 1: I'm wearing like bell like big boots, you know what

73
00:03:45,040 --> 00:03:47,320
Speaker 1: I mean. Like, but you don't wear the top part

74
00:03:47,320 --> 00:03:50,120
Speaker 1: of the pants. Oh verst the sleeve. And I came

75
00:03:50,160 --> 00:03:52,680
Speaker 1: them down for extra swag. They look like long stalking.

76
00:03:53,040 --> 00:03:57,400
Speaker 3: Yeah, no, that sounds like extra extra swag. Anyways, my

77
00:03:57,480 --> 00:04:01,200
Speaker 3: name's Jack O'Brien. Yeah, I want to mouse in the morning,

78
00:04:01,320 --> 00:04:05,320
Speaker 3: a rat in the evening, thick like me. I want

79
00:04:05,360 --> 00:04:08,360
Speaker 3: a busty beaver that can sad its five me.

80
00:04:09,000 --> 00:04:09,640
Speaker 1: Just for me.

81
00:04:10,280 --> 00:04:15,000
Speaker 3: If you are a rodent man, because I'm a rodent girl,

82
00:04:15,440 --> 00:04:19,120
Speaker 3: I got a cheesy secret. Everybody saying, because I'm a

83
00:04:19,120 --> 00:04:23,520
Speaker 3: fucking rodent. That's a thing that is courtesy of Cleo

84
00:04:23,800 --> 00:04:27,559
Speaker 3: Universe one to the two, to the two to the three,

85
00:04:27,720 --> 00:04:30,240
Speaker 3: girl Bugs Bunny, would you like to get freaky with me?

86
00:04:31,520 --> 00:04:35,520
Speaker 3: Because girl Bugs Bunny also a rodent? Yeah wait really

87
00:04:36,040 --> 00:04:37,320
Speaker 3: wait bunnies are rodents.

88
00:04:37,560 --> 00:04:42,760
Speaker 1: Bunnies are rodents. Yeah, oh, I guess anything. That's just

89
00:04:42,839 --> 00:04:44,960
Speaker 1: kind of like mobbing around a city as a rodent.

90
00:04:45,000 --> 00:04:47,440
Speaker 1: Because I remember, like in Minneapolis there were so many

91
00:04:47,520 --> 00:04:49,479
Speaker 1: bunnies and I was like look, and everyone's like, yeah,

92
00:04:49,480 --> 00:04:52,719
Speaker 1: it's Minneapolis, dude, They're fucking bunnies everywhere. When I look,

93
00:04:52,720 --> 00:04:59,240
Speaker 1: a bunny, rodent are rabbits rodents under rodentia It is good.

94
00:04:59,279 --> 00:05:00,279
Speaker 5: Oh god, it.

95
00:05:01,839 --> 00:05:05,560
Speaker 1: Was really close to being yelled at by rodent twitter.

96
00:05:05,720 --> 00:05:07,000
Speaker 1: Yeah I know, I know.

97
00:05:07,120 --> 00:05:11,200
Speaker 3: Anyways, courtesy a Cleo universe. In reference to the rodent Man,

98
00:05:11,360 --> 00:05:14,239
Speaker 3: the new trend in Hotness in reference.

99
00:05:13,839 --> 00:05:17,240
Speaker 1: To Jacket says they do not include Rodentia does not

100
00:05:17,360 --> 00:05:20,760
Speaker 1: include rabbits what because they have an extra pair of

101
00:05:20,800 --> 00:05:24,960
Speaker 1: incisors and other skeletal features. I'm really sorry to break

102
00:05:24,960 --> 00:05:29,760
Speaker 1: the Yeah, sorry, sorry, all right, well I quit? Yeah,

103
00:05:29,800 --> 00:05:32,159
Speaker 1: all right, well I should Yeah, you can take it

104
00:05:32,160 --> 00:05:36,080
Speaker 1: from here. All right, well, uh where was I?

105
00:05:36,120 --> 00:05:36,280
Speaker 2: Well?

106
00:05:36,360 --> 00:05:38,400
Speaker 3: John, I'm through to be joined as always by my

107
00:05:38,520 --> 00:05:40,560
Speaker 3: co host mister Miles.

108
00:05:40,120 --> 00:05:45,000
Speaker 6: Gray as well as Gray Ay, don't go drink and

109
00:05:45,200 --> 00:05:50,159
Speaker 6: freedom to oh stick to Kirkland Brando arrow head that

110
00:05:50,400 --> 00:05:52,880
Speaker 6: you used to not sure?

111
00:05:52,960 --> 00:05:56,680
Speaker 1: Why does Sonny taste so bad? Just don't try it

112
00:05:56,839 --> 00:06:00,599
Speaker 1: at all. Lu Kang's the one that killed so of zero.

113
00:06:01,839 --> 00:06:05,560
Speaker 1: Listen toe Man shout out pe Nutty Brown on the

114
00:06:05,600 --> 00:06:09,520
Speaker 1: discord combining the freedom follow story. And then also I

115
00:06:09,600 --> 00:06:12,200
Speaker 1: fucked up my Mortal Kombat movie reference where I said

116
00:06:12,240 --> 00:06:14,760
Speaker 1: Johnny Cage killed Sub zero with the bucket of water.

117
00:06:15,160 --> 00:06:19,000
Speaker 1: It was actually Lou Kang. So thank you to Zeitgang

118
00:06:19,080 --> 00:06:22,000
Speaker 1: always keeping me honest with my Mortal Kombat film and

119
00:06:22,040 --> 00:06:25,680
Speaker 1: that's important, you know, they keep us honest, and we

120
00:06:25,720 --> 00:06:28,680
Speaker 1: appreciate you guys for it. That's how we facilitate trust here.

121
00:06:28,960 --> 00:06:33,160
Speaker 3: Well, Miles in our third seat, a TDZ Hall of Famer,

122
00:06:33,279 --> 00:06:37,400
Speaker 3: one of the very faces on Mount Zeitmore. A brilliant

123
00:06:37,440 --> 00:06:43,000
Speaker 3: stand up comedian You've seen all over these United States

124
00:06:43,120 --> 00:06:49,760
Speaker 3: on the TV, MTV, Comedy Central, NBC, True TV, Few, Yes,

125
00:06:50,160 --> 00:06:51,640
Speaker 3: all the TV channels.

126
00:06:51,960 --> 00:06:55,040
Speaker 1: Her first hour special Live from the Big Dog is

127
00:06:55,120 --> 00:06:57,640
Speaker 1: hilarious and I must watch. It's Blaire Socking.

128
00:07:00,520 --> 00:07:05,159
Speaker 2: What's of z gag o sh o. God. It is

129
00:07:05,200 --> 00:07:07,960
Speaker 2: so good to be back, you know, seeing you guys.

130
00:07:08,080 --> 00:07:10,520
Speaker 2: I really missed you, and it just feels like it

131
00:07:10,680 --> 00:07:13,400
Speaker 2: just feels like a nice family. Like I'm putting on

132
00:07:13,480 --> 00:07:16,840
Speaker 2: an old shoe, like your favorite old shoe. So comfortable,

133
00:07:17,960 --> 00:07:21,520
Speaker 2: so comfortable, just so joyful. It's just I was like, dang,

134
00:07:21,560 --> 00:07:23,960
Speaker 2: I really missed shack in my house. Just feels great.

135
00:07:24,160 --> 00:07:25,440
Speaker 2: Great to be back and.

136
00:07:25,360 --> 00:07:27,360
Speaker 3: We missed you and it's great to have you back.

137
00:07:28,040 --> 00:07:30,520
Speaker 3: Being compared to an old shoe is cool.

138
00:07:30,800 --> 00:07:33,200
Speaker 1: I love it. I love being compared to an old shoe,

139
00:07:33,600 --> 00:07:35,840
Speaker 1: but the good one. What I aim doing body like.

140
00:07:35,840 --> 00:07:36,840
Speaker 2: The best old shoes.

141
00:07:37,400 --> 00:07:40,080
Speaker 1: Yeah, our skin is leathery like an old shoe.

142
00:07:40,240 --> 00:07:50,240
Speaker 2: No, not like your skin. That would weird if I said.

143
00:07:50,120 --> 00:07:51,560
Speaker 1: Teddyware pretty bare.

144
00:07:51,880 --> 00:07:56,760
Speaker 2: Yeah, I put on my dirty converse. I feel I'm like, oh,

145
00:07:56,960 --> 00:08:00,920
Speaker 2: I feel great. I feel like myself. I feel good.

146
00:08:01,520 --> 00:08:03,760
Speaker 1: Yeah, I have like a bad hoodie that I were

147
00:08:03,840 --> 00:08:06,720
Speaker 1: like that I got some old old box or old underwear.

148
00:08:06,720 --> 00:08:07,640
Speaker 1: I got old underwear.

149
00:08:07,960 --> 00:08:10,480
Speaker 2: I could don't bring old underwear into this.

150
00:08:10,720 --> 00:08:13,680
Speaker 1: That's I mean their. I just meant like it's in

151
00:08:13,720 --> 00:08:16,840
Speaker 1: a way where you're like, damn, yeah there, we hate ourselves.

152
00:08:16,920 --> 00:08:19,960
Speaker 3: We can't take a compliment without turning it into a

153
00:08:20,000 --> 00:08:23,000
Speaker 3: metaphor about old, skid marked underwear.

154
00:08:23,080 --> 00:08:24,720
Speaker 1: I know what you're saying.

155
00:08:24,760 --> 00:08:27,760
Speaker 3: I'm a I got ship stains down my back. I

156
00:08:27,800 --> 00:08:31,679
Speaker 3: get I smell like four month old piss right Yeah yeah.

157
00:08:33,480 --> 00:08:38,200
Speaker 1: The scenes, Yeah yeah, I read you. I read How

158
00:08:38,200 --> 00:08:39,400
Speaker 1: have you been you've been up to?

159
00:08:41,120 --> 00:08:43,320
Speaker 2: What have I been up to? Gosh, I've just been

160
00:08:43,400 --> 00:08:48,000
Speaker 2: mobbing around. I just started my first tour, so I'm

161
00:08:48,040 --> 00:08:50,080
Speaker 2: doing that, which is exciting.

162
00:08:50,240 --> 00:08:55,079
Speaker 3: Yeah, you're all over these United States.

163
00:08:55,520 --> 00:08:56,720
Speaker 1: Kansas City coming up?

164
00:08:57,120 --> 00:08:58,400
Speaker 2: Yeah that Kansas City.

165
00:08:58,440 --> 00:08:59,160
Speaker 1: Baby.

166
00:09:00,600 --> 00:09:04,400
Speaker 3: Our nation's capital, Washington, d C. Not my nation's capital.

167
00:09:04,520 --> 00:09:07,959
Speaker 3: My nation's capital is Mare a lago, But Kansas City,

168
00:09:08,080 --> 00:09:10,880
Speaker 3: Nations Kansas City.

169
00:09:11,120 --> 00:09:12,080
Speaker 4: Yeah.

170
00:09:12,120 --> 00:09:15,800
Speaker 2: I was like, yeah, our nation's capital, Kansas City.

171
00:09:16,040 --> 00:09:18,880
Speaker 1: It's very clean there, Kansas City's queen.

172
00:09:19,640 --> 00:09:21,720
Speaker 2: Yeah, like I find it, you know, because we live

173
00:09:21,760 --> 00:09:25,040
Speaker 2: in LA. It's not a very clean looking, and so

174
00:09:25,400 --> 00:09:28,320
Speaker 2: when I go to some of these prairie like buttoned up,

175
00:09:28,600 --> 00:09:32,200
Speaker 2: manicured Midwest cities, it's always shocking to me, you know.

176
00:09:32,360 --> 00:09:34,079
Speaker 2: I'm like, wow, they're very nice here.

177
00:09:34,200 --> 00:09:36,680
Speaker 1: Yeah, DC also shockingly clean.

178
00:09:37,240 --> 00:09:41,240
Speaker 3: Yeah yeah, they have an actual downtown Kansas City like

179
00:09:41,320 --> 00:09:42,920
Speaker 3: they Yeah, yeah, it's kind of cool.

180
00:09:42,960 --> 00:09:46,040
Speaker 1: What do you mean, like old buildings with like old

181
00:09:46,160 --> 00:09:51,000
Speaker 1: tall buildings. I feel like, oh yeah, we're in LA. Yeah,

182
00:09:51,240 --> 00:09:53,800
Speaker 1: anything like that that was made in nineteen the most

183
00:09:54,360 --> 00:10:01,440
Speaker 1: except for LA's just like wowy old. It's also weird too,

184
00:10:01,440 --> 00:10:03,839
Speaker 1: Like there are some legit historical sites in LA, but

185
00:10:03,880 --> 00:10:06,280
Speaker 1: they're like hit, like they're just hidden in a way

186
00:10:06,360 --> 00:10:09,680
Speaker 1: you wouldn't notice. Like across the street from Universal.

187
00:10:09,280 --> 00:10:12,160
Speaker 3: They're all like people's houses. They're like, yeah, that's where

188
00:10:12,200 --> 00:10:14,120
Speaker 3: they recorded pet sounds.

189
00:10:14,360 --> 00:10:16,840
Speaker 2: I like to go to Musso and Frank and I

190
00:10:16,880 --> 00:10:20,920
Speaker 2: feel and I feel like very vintage and cool, like

191
00:10:21,000 --> 00:10:23,880
Speaker 2: I'm going to make some sort of mob business too.

192
00:10:24,280 --> 00:10:26,280
Speaker 1: Yeah, is that place no for is that like a

193
00:10:26,320 --> 00:10:28,920
Speaker 1: steakhouse or is a steakhouse like a little bit of

194
00:10:29,160 --> 00:10:30,760
Speaker 1: actually really close to our offices?

195
00:10:31,200 --> 00:10:35,880
Speaker 2: Yeah right, And and the waiters are like one hundred

196
00:10:35,920 --> 00:10:39,760
Speaker 2: and fifty years old, and they all wear tuxedos, and

197
00:10:39,760 --> 00:10:42,440
Speaker 2: and they serve you like and there's all these things

198
00:10:42,440 --> 00:10:44,720
Speaker 2: on the menu that like, don't it from way back

199
00:10:44,760 --> 00:10:49,240
Speaker 2: when that don't exist anywhere else, like like I don't know, gelatin.

200
00:10:48,960 --> 00:10:51,400
Speaker 1: Or like odd clarified milk punch.

201
00:10:52,040 --> 00:10:55,000
Speaker 2: Yeah, just like I can't even think of them. But yeah,

202
00:10:55,080 --> 00:10:58,280
Speaker 2: like funny old like dishes that don't we.

203
00:10:58,240 --> 00:11:00,920
Speaker 1: Serve in a line jello mold.

204
00:11:01,360 --> 00:11:04,640
Speaker 2: Yes. And they have excellent martinis and you know your

205
00:11:04,640 --> 00:11:06,000
Speaker 2: boy loves a martini.

206
00:11:06,360 --> 00:11:09,280
Speaker 1: Yeah, well yeah I do. I don't know why I said.

207
00:11:09,320 --> 00:11:11,000
Speaker 1: I've heard that before, but.

208
00:11:12,520 --> 00:11:16,600
Speaker 2: One I can only handle one drink of alcohol and

209
00:11:16,640 --> 00:11:19,520
Speaker 2: I get absolutely smash. I'm like the biggest lightweight.

210
00:11:20,240 --> 00:11:23,760
Speaker 3: There can only be one. Yeah, all right, Blair, Well,

211
00:11:23,800 --> 00:11:24,839
Speaker 3: we're going to get to know you.

212
00:11:24,800 --> 00:11:27,480
Speaker 1: A little bit better in a moment. First, we're going

213
00:11:27,559 --> 00:11:30,199
Speaker 1: to tell the listeners a couple of the things we're

214
00:11:30,200 --> 00:11:30,760
Speaker 1: talking about.

215
00:11:31,240 --> 00:11:36,920
Speaker 3: Uh, Joe Biden is triangulating like a madman. He's he's

216
00:11:36,960 --> 00:11:40,000
Speaker 3: doing the one for them, one for you, and he

217
00:11:40,360 --> 00:11:42,760
Speaker 3: did a good one. He did a good miles.

218
00:11:42,920 --> 00:11:45,720
Speaker 1: It seems like I'm for one for them where it

219
00:11:45,840 --> 00:11:49,760
Speaker 1: ended up being net zero. But yes, this is the Yeah,

220
00:11:49,880 --> 00:11:53,120
Speaker 1: this is a did one for a positive thing in

221
00:11:53,640 --> 00:11:54,520
Speaker 1: terms of immigration.

222
00:11:54,679 --> 00:11:57,240
Speaker 3: Yes, yeah, So we're going to talk about that and

223
00:11:57,480 --> 00:12:00,400
Speaker 3: just immigration in general. Turns out it should be the

224
00:12:00,480 --> 00:12:06,440
Speaker 3: easiest argument for Democrats, the left, liberals even to make,

225
00:12:06,679 --> 00:12:08,920
Speaker 3: and they're just not making. They're not even trying. The

226
00:12:08,960 --> 00:12:14,680
Speaker 3: mainstream media. This might be the most baffled I've been

227
00:12:15,120 --> 00:12:18,920
Speaker 3: at the mainstream media and like reading this research in days,

228
00:12:21,160 --> 00:12:24,800
Speaker 3: absolutely in days like shocking. But yeah, the fact that

229
00:12:24,840 --> 00:12:28,000
Speaker 3: they haven't made a better case for immigration is pretty

230
00:12:28,000 --> 00:12:28,600
Speaker 3: surprising to me.

231
00:12:28,960 --> 00:12:29,640
Speaker 1: We'll talk about that.

232
00:12:29,679 --> 00:12:32,600
Speaker 3: We'll talk about the guy who got caught cheating and

233
00:12:32,800 --> 00:12:34,080
Speaker 3: is suing Apple.

234
00:12:34,280 --> 00:12:35,800
Speaker 1: For getting on caught.

235
00:12:36,000 --> 00:12:40,080
Speaker 3: Yep, exactly all that plenty more. But first, Blair, we

236
00:12:40,120 --> 00:12:43,560
Speaker 3: do like to ask our guests, what is something from

237
00:12:43,760 --> 00:12:46,240
Speaker 3: your search history that's revealing about who you are?

238
00:12:46,760 --> 00:12:54,760
Speaker 2: Oh, Nate Robinson jumped over Dwight Howard. I wanted to

239
00:12:54,840 --> 00:12:57,920
Speaker 2: know what year was and in case any of you

240
00:12:58,000 --> 00:13:01,120
Speaker 2: are wondering me, it was two thousand and nine. Is

241
00:13:01,160 --> 00:13:04,360
Speaker 2: for one of my jokes. I was like, did that happen?

242
00:13:04,480 --> 00:13:09,040
Speaker 2: I couldn't remember. Did he I can't remember.

243
00:13:09,559 --> 00:13:11,960
Speaker 1: Did Dwight Howard wear a tiny ass cape in one

244
00:13:11,960 --> 00:13:14,280
Speaker 1: of his Yeah?

245
00:13:13,760 --> 00:13:18,080
Speaker 2: Yeah, But I was like, yeah, I was wondering about

246
00:13:18,120 --> 00:13:20,880
Speaker 2: it because I had a joke about like small people

247
00:13:20,960 --> 00:13:26,760
Speaker 2: jumping high and I was like, didn't didn't Nate Robinson

248
00:13:26,920 --> 00:13:29,280
Speaker 2: jump over someone? I think it was Doy Howard? And

249
00:13:29,320 --> 00:13:32,040
Speaker 2: then I was like, yeah, wow, I can't believe that happened.

250
00:13:32,720 --> 00:13:36,520
Speaker 1: Crazy man. Can you imagine what a what a dunker?

251
00:13:37,120 --> 00:13:41,000
Speaker 1: How told? Is Nate Robinson five? Is he really five? A?

252
00:13:42,480 --> 00:13:47,920
Speaker 2: He's a little little baby guy.

253
00:13:46,600 --> 00:13:50,240
Speaker 1: Or of the average height, But Spudweb was five seven

254
00:13:50,360 --> 00:13:51,840
Speaker 1: when he won the dunk contest.

255
00:13:52,600 --> 00:13:55,320
Speaker 2: Web also in the joke, everyone like knows how old

256
00:13:55,360 --> 00:13:55,840
Speaker 2: I am?

257
00:13:55,920 --> 00:14:05,079
Speaker 1: Just from the like to the youth today they think

258
00:14:05,120 --> 00:14:07,880
Speaker 1: that's a potato covered like the spiders really fuck with

259
00:14:08,480 --> 00:14:12,680
Speaker 1: But nopun Web use.

260
00:14:12,520 --> 00:14:17,040
Speaker 3: That potato spiders joking here, that's free material for you, Jack.

261
00:14:17,280 --> 00:14:18,720
Speaker 2: That it is generous of you.

262
00:14:19,240 --> 00:14:25,960
Speaker 1: That was mine. That was my terrible joke. What is

263
00:14:26,120 --> 00:14:27,920
Speaker 1: something that you think is underrated.

264
00:14:28,840 --> 00:14:32,600
Speaker 2: Okay, guys, if you must ask, I'm gonna tell you

265
00:14:33,280 --> 00:14:36,080
Speaker 2: not enough people are talking about the nineteen ninety four

266
00:14:36,160 --> 00:14:38,920
Speaker 2: film Angels in the Outfield. But Danny Glover and Joseph

267
00:14:38,960 --> 00:14:44,280
Speaker 2: Gordon Levitt, Wow, it's just so good and having Christopher

268
00:14:44,360 --> 00:14:48,040
Speaker 2: Lloyd as the wacky angel, Like I just watched it

269
00:14:48,080 --> 00:14:52,080
Speaker 2: on a plane recently, saw my goddamn eyes out. What

270
00:14:52,200 --> 00:14:56,920
Speaker 2: a heart expanding story of hope and upliftment. And then

271
00:14:57,000 --> 00:15:02,120
Speaker 2: when he also surprised adopts JP like the litteralist, the

272
00:15:02,400 --> 00:15:05,880
Speaker 2: cutest kid that I've ever seen in my life. Couldn't

273
00:15:05,880 --> 00:15:08,400
Speaker 2: believe it. And then also to see like the bit

274
00:15:08,520 --> 00:15:13,560
Speaker 2: parts of the early launching pad careers of Matthew McConaughey,

275
00:15:14,000 --> 00:15:19,480
Speaker 2: Adrian Brody, Tony Danza career.

276
00:15:21,000 --> 00:15:21,600
Speaker 1: No, I mean.

277
00:15:23,680 --> 00:15:28,360
Speaker 2: Yeah, they had really small parts and it was like yeah,

278
00:15:28,440 --> 00:15:31,240
Speaker 2: and it was just a delight and incredible. Why have

279
00:15:31,280 --> 00:15:34,040
Speaker 2: we forgotten? Why don't we have more sports movies with

280
00:15:34,200 --> 00:15:35,960
Speaker 2: angels mixed in? Amazing?

281
00:15:36,640 --> 00:15:36,800
Speaker 1: Right?

282
00:15:37,880 --> 00:15:42,000
Speaker 3: Is the story that like did a team plane like

283
00:15:42,120 --> 00:15:44,640
Speaker 3: go down or something? Why are there's so many Angels

284
00:15:44,720 --> 00:15:46,120
Speaker 3: in the outfield for this?

285
00:15:46,200 --> 00:15:48,960
Speaker 2: Okay? This was another shocking thing, because like I've had

286
00:15:48,960 --> 00:15:52,320
Speaker 2: a lifelong attraction to Dermot mulroney, which I've just failed

287
00:15:52,360 --> 00:15:56,400
Speaker 2: to mention. He is the deadbeate dad that causes all

288
00:15:56,400 --> 00:15:59,360
Speaker 2: these issues. And he says to tiny we'll get together,

289
00:15:59,560 --> 00:16:02,280
Speaker 2: right yeah, no, oh yeah, he says, the tiny Little

290
00:16:02,360 --> 00:16:05,840
Speaker 2: Joseph Gordon love of it. The child. He says, like.

291
00:16:06,440 --> 00:16:08,480
Speaker 1: Joseph the child, which is.

292
00:16:09,920 --> 00:16:14,200
Speaker 2: He says, he says, you know, if the angels win,

293
00:16:14,320 --> 00:16:17,800
Speaker 2: then we can be like a family again. What a

294
00:16:17,840 --> 00:16:18,440
Speaker 2: horrible thing?

295
00:16:20,000 --> 00:16:29,200
Speaker 3: Yeah, or something is No, he's just like angels way.

296
00:16:29,360 --> 00:16:32,520
Speaker 2: Because the angels were so bad. So he was basically like,

297
00:16:32,600 --> 00:16:34,880
Speaker 2: if the angels win, then I'll be your dad again.

298
00:16:35,360 --> 00:16:37,960
Speaker 2: So then, of course little baby Joseph Ward love it.

299
00:16:38,040 --> 00:16:40,960
Speaker 2: He's praying, praying, praying, like for the angels to win,

300
00:16:41,160 --> 00:16:42,960
Speaker 2: thinking that it's going to come true and he's going

301
00:16:43,040 --> 00:16:45,520
Speaker 2: to get his dad back. So then the angels arrive

302
00:16:45,640 --> 00:16:46,360
Speaker 2: to make them win.

303
00:16:46,800 --> 00:16:50,080
Speaker 3: Yeah, so they answer little kid prayers if they're like

304
00:16:50,480 --> 00:16:51,840
Speaker 3: sad and pathetic enough.

305
00:16:53,160 --> 00:16:55,320
Speaker 2: But then they got him a different dad. So I

306
00:16:55,360 --> 00:16:55,720
Speaker 2: don't know.

307
00:16:56,120 --> 00:16:57,360
Speaker 1: Yeah, So I.

308
00:16:57,360 --> 00:17:01,360
Speaker 3: Don't know why I associated angels with ghosts. Angels aren't

309
00:17:01,360 --> 00:17:02,680
Speaker 3: ghosts right in a.

310
00:17:02,640 --> 00:17:04,640
Speaker 2: Way they are. I don't think you're too far off.

311
00:17:04,640 --> 00:17:08,920
Speaker 2: They're like like incredible beings.

312
00:17:09,320 --> 00:17:14,119
Speaker 3: In City of Angels, was Nicholas Cage an eternal being

313
00:17:14,520 --> 00:17:16,800
Speaker 3: who had never been alive? Or was he like a

314
00:17:16,880 --> 00:17:20,359
Speaker 3: dead guy? Anybody remember we had a real run in

315
00:17:20,440 --> 00:17:21,840
Speaker 3: the nineties of angel movies.

316
00:17:21,960 --> 00:17:22,640
Speaker 1: Huh Yeah.

317
00:17:22,680 --> 00:17:25,800
Speaker 2: I just saw this movie again in the last year.

318
00:17:25,920 --> 00:17:29,159
Speaker 2: Also on a plane, you know, I you know my

319
00:17:29,200 --> 00:17:30,920
Speaker 2: passion the angel.

320
00:17:31,160 --> 00:17:33,879
Speaker 1: Yeah, angels on planes for you that whenever you're on

321
00:17:33,880 --> 00:17:35,919
Speaker 1: a plane, you're like got to get an angel flicking.

322
00:17:36,040 --> 00:17:36,240
Speaker 4: Yeah.

323
00:17:36,240 --> 00:17:38,560
Speaker 2: Well, I'm like, I'm probably pretty close to them up here.

324
00:17:38,600 --> 00:17:40,360
Speaker 2: You know, maybe I should.

325
00:17:40,880 --> 00:17:44,040
Speaker 1: Way to reading the paper. Just hold me up.

326
00:17:44,160 --> 00:17:48,520
Speaker 2: Yeah, it's a good movie. I loved it. I love

327
00:17:48,560 --> 00:17:50,440
Speaker 2: those I gotta I love those movies.

328
00:17:51,040 --> 00:17:51,440
Speaker 1: Michael.

329
00:17:52,000 --> 00:17:55,720
Speaker 3: Then John Travolta movie, which I don't know anything other

330
00:17:55,880 --> 00:17:58,879
Speaker 3: than what if John Travolta was an angel?

331
00:17:58,920 --> 00:17:59,160
Speaker 1: Though?

332
00:17:59,280 --> 00:18:01,600
Speaker 2: Oh my god, I also watched that movie.

333
00:18:01,920 --> 00:18:06,080
Speaker 1: Did you Wow? You really are an freak for the angels.

334
00:18:06,640 --> 00:18:08,800
Speaker 2: I didn't realize how many of these I've watched in

335
00:18:08,840 --> 00:18:09,560
Speaker 2: the last year.

336
00:18:10,040 --> 00:18:12,960
Speaker 1: Did you even see Alita Battle Angel? Now?

337
00:18:12,960 --> 00:18:14,040
Speaker 2: I've never seen that one?

338
00:18:14,119 --> 00:18:16,159
Speaker 1: Is that good? No, it's not.

339
00:18:16,280 --> 00:18:17,439
Speaker 2: Oh okay, it's not.

340
00:18:17,720 --> 00:18:19,679
Speaker 1: It's and it barely has nothing to just there was

341
00:18:19,720 --> 00:18:22,399
Speaker 1: like a sort of title of the character. Have you

342
00:18:22,440 --> 00:18:25,159
Speaker 1: watched the Bone Thugs and Harmony Crossroads video lately?

343
00:18:25,960 --> 00:18:29,119
Speaker 2: Not lately? I can't say I have, But I can't

344
00:18:29,119 --> 00:18:31,760
Speaker 2: do it after this podcast. That's no problem. I can

345
00:18:31,760 --> 00:18:32,600
Speaker 2: fire it right up.

346
00:18:34,080 --> 00:18:38,119
Speaker 3: There's a there's an Angel with big old wings, big

347
00:18:38,119 --> 00:18:39,400
Speaker 3: old honkers.

348
00:18:39,760 --> 00:18:42,639
Speaker 2: I do have a recollection of that from my childhood.

349
00:18:42,720 --> 00:18:47,879
Speaker 3: Actually, yeah, Touched by an Angel? Superducer Justin is pointing

350
00:18:47,880 --> 00:18:50,360
Speaker 3: out Touched by an Angel was a big nineties.

351
00:18:50,040 --> 00:18:51,560
Speaker 2: Oh yeah, I watched the shit out of that on

352
00:18:51,640 --> 00:18:53,960
Speaker 2: Channel four cable as a child. You know, I was

353
00:18:54,000 --> 00:18:56,200
Speaker 2: like maybe if I watched them, they'll come to my room.

354
00:18:57,680 --> 00:19:00,280
Speaker 1: So were you was that like an obsession of yours

355
00:19:00,280 --> 00:19:02,199
Speaker 1: when you're a child. Did you like when you were

356
00:19:02,240 --> 00:19:04,200
Speaker 1: in school? Were you like drawing angels and shit?

357
00:19:04,720 --> 00:19:07,479
Speaker 2: I mean, like, no, it's not just angels, And it

358
00:19:07,520 --> 00:19:13,640
Speaker 2: really hasn't stopped, like it's been consistent as every year

359
00:19:13,680 --> 00:19:16,040
Speaker 2: of my life. But I just have a lot of

360
00:19:16,800 --> 00:19:21,200
Speaker 2: interest in like what could possibly be and like God,

361
00:19:21,320 --> 00:19:22,959
Speaker 2: Like I don't know what God is, but like I

362
00:19:23,119 --> 00:19:26,200
Speaker 2: pray a lot, and like I love the idea of angels,

363
00:19:26,240 --> 00:19:28,520
Speaker 2: like I don't know if it's real or whatever. I

364
00:19:28,560 --> 00:19:31,920
Speaker 2: also love like fantasy shit like witches and magic and

365
00:19:32,000 --> 00:19:35,080
Speaker 2: wizards and things like that, even though I'm a jock

366
00:19:35,160 --> 00:19:38,000
Speaker 2: and very cool and not nerdy at all. So it's confusing.

367
00:19:38,160 --> 00:19:39,879
Speaker 1: Do you think if you were an angel, like in

368
00:19:40,040 --> 00:19:42,960
Speaker 1: a child made like a sports prayer, like it would

369
00:19:43,040 --> 00:19:45,600
Speaker 1: have to be like volleyball based for that way, You're like,

370
00:19:45,800 --> 00:19:48,240
Speaker 1: I got this one. I can handle this one, not

371
00:19:48,400 --> 00:19:48,800
Speaker 1: at all.

372
00:19:48,840 --> 00:19:51,840
Speaker 2: Like I don't even feel too large off a tie

373
00:19:51,840 --> 00:19:54,800
Speaker 2: to volleyball, although I love that sport. But no, I'm

374
00:19:54,840 --> 00:19:56,800
Speaker 2: not like volleyball is supreme sport.

375
00:19:56,960 --> 00:19:59,200
Speaker 1: You know I'm saying as an angel, if you're giving

376
00:19:59,240 --> 00:20:01,840
Speaker 1: your expertise, like, hey man, anybody do baseball up here?

377
00:20:01,920 --> 00:20:02,040
Speaker 3: Now?

378
00:20:02,720 --> 00:20:04,840
Speaker 1: All right? We got another kid who's praying to his

379
00:20:04,920 --> 00:20:07,760
Speaker 1: family reunites if they can win this beach volleyball tournament.

380
00:20:07,800 --> 00:20:09,960
Speaker 1: Anybody they need a defensive specialist?

381
00:20:10,440 --> 00:20:13,840
Speaker 2: Yeah, you know, Miles, you pose an excellent query. As always,

382
00:20:14,080 --> 00:20:16,240
Speaker 2: I think I would have to go with the child

383
00:20:16,320 --> 00:20:19,840
Speaker 2: who you know needed me most, really, But that's just

384
00:20:20,000 --> 00:20:22,240
Speaker 2: sort of the type of heart I have, know.

385
00:20:23,800 --> 00:20:27,600
Speaker 1: I appreciate that you're humble and highway to Heaven any

386
00:20:27,680 --> 00:20:31,760
Speaker 1: Highway to Heaven takers. So that was that was the eighties.

387
00:20:31,760 --> 00:20:33,760
Speaker 3: That was probably before the show wasn't That was a

388
00:20:33,880 --> 00:20:37,560
Speaker 3: show where it was like, what if the guy you

389
00:20:37,680 --> 00:20:38,800
Speaker 3: see hitchhiking on.

390
00:20:38,760 --> 00:20:42,200
Speaker 1: The highway is actually angel? Though?

391
00:20:42,600 --> 00:20:46,200
Speaker 3: And it but and the guy was Michael Landon, who

392
00:20:46,280 --> 00:20:48,000
Speaker 3: was a very handsome.

393
00:20:47,960 --> 00:20:50,800
Speaker 2: Like, oh was that sounds right up my alley? But

394
00:20:50,800 --> 00:20:51,840
Speaker 2: I have to check that out.

395
00:20:51,880 --> 00:20:55,280
Speaker 3: Also, yeah, worth the worth the shot. What's something you

396
00:20:55,320 --> 00:20:56,720
Speaker 3: think is overrated?

397
00:20:57,840 --> 00:21:02,119
Speaker 2: Oh? Well, thank you for Ashian Jack. And look, I

398
00:21:02,160 --> 00:21:04,760
Speaker 2: know I'm risking a lot right now, turning into a

399
00:21:04,800 --> 00:21:08,800
Speaker 2: heel right off the jump. But I have never cowered

400
00:21:08,800 --> 00:21:12,760
Speaker 2: to the masses. I do not conform. And with that

401
00:21:12,800 --> 00:21:16,399
Speaker 2: being said, Doritos are not good. Feel free to spam

402
00:21:16,400 --> 00:21:19,720
Speaker 2: me with your Dorito's outrage. I won't feel it because

403
00:21:19,760 --> 00:21:23,280
Speaker 2: I know the truth so strongly in my heart. And

404
00:21:24,200 --> 00:21:27,040
Speaker 2: also in and out, fries are objectively bad, but I

405
00:21:27,080 --> 00:21:30,320
Speaker 2: do love their burgers, so I continue to eat there

406
00:21:30,359 --> 00:21:31,320
Speaker 2: with regularity.

407
00:21:31,520 --> 00:21:36,080
Speaker 1: Correct, Okay, that's fine. The doritos, though, is it just

408
00:21:36,240 --> 00:21:39,720
Speaker 1: overall every flavor? Is it the chip? Is it the flavoring.

409
00:21:39,720 --> 00:21:42,639
Speaker 1: What are we hating about the Dorito? You know?

410
00:21:43,320 --> 00:21:46,960
Speaker 2: I just like I. I really think that I have

411
00:21:47,600 --> 00:21:51,280
Speaker 2: the finger on the poles for food. I believe that

412
00:21:51,680 --> 00:21:54,480
Speaker 2: with every depth of my bean. I love a cattle chip,

413
00:21:54,640 --> 00:21:59,240
Speaker 2: I love I love cheddar, sour cream ruffles like I like.

414
00:21:59,440 --> 00:22:03,520
Speaker 2: I like Doritos, like their flavors. Just they taste too

415
00:22:03,560 --> 00:22:06,400
Speaker 2: synthetic to me. I don't know, They've just never done

416
00:22:06,440 --> 00:22:08,639
Speaker 2: it for me. I'm not into it. I like a

417
00:22:08,680 --> 00:22:11,520
Speaker 2: sun chip. I like a kettle chip. Kettle chip incredible,

418
00:22:11,600 --> 00:22:16,040
Speaker 2: probably number one Doritos not for meles.

419
00:22:16,200 --> 00:22:17,120
Speaker 1: You got sun Chip.

420
00:22:17,840 --> 00:22:22,000
Speaker 2: I love Pringles. I'm a fucking freak for prinkles. Anytime

421
00:22:22,040 --> 00:22:24,560
Speaker 2: you have a writing deadline, I'll get two canisters and

422
00:22:24,600 --> 00:22:26,280
Speaker 2: I say, this is your tree, bitch, and I'll do

423
00:22:26,320 --> 00:22:28,879
Speaker 2: your work, you know, And I'll put down two. The

424
00:22:28,920 --> 00:22:31,480
Speaker 2: next day, my head will be swollen up like a basketball.

425
00:22:31,480 --> 00:22:33,480
Speaker 2: It'll be war fit and all the sodium.

426
00:22:34,880 --> 00:22:37,960
Speaker 3: That I didn't realize was real until I like hit

427
00:22:38,400 --> 00:22:40,600
Speaker 3: you know a certain age, and then I was like,

428
00:22:40,640 --> 00:22:43,760
Speaker 3: oh yeah, my face just is like so puffy after

429
00:22:43,840 --> 00:22:44,639
Speaker 3: a habit Chips.

430
00:22:47,520 --> 00:22:51,280
Speaker 2: The slogan for Pringles is so genius, though, because like,

431
00:22:51,880 --> 00:22:54,760
Speaker 2: gun to my head, I could not be able to

432
00:22:55,040 --> 00:22:56,919
Speaker 2: just have like a third of a can, Like I

433
00:22:57,000 --> 00:22:58,960
Speaker 2: have to eat the whole can, and I do it

434
00:22:59,000 --> 00:23:03,720
Speaker 2: with ease, without even noticing that the whole thing went down.

435
00:23:03,760 --> 00:23:06,359
Speaker 2: It's just so incredible addictive.

436
00:23:07,080 --> 00:23:08,879
Speaker 1: I mean, one, can't you out here being two k

437
00:23:09,000 --> 00:23:10,160
Speaker 1: and Sam at a time.

438
00:23:10,200 --> 00:23:12,359
Speaker 2: Oh, that was vulnerable for me to share.

439
00:23:13,440 --> 00:23:16,320
Speaker 1: It's funny. Last week I came out and said Pringles

440
00:23:16,320 --> 00:23:18,320
Speaker 1: were overrated, and that got a bit of a response

441
00:23:18,359 --> 00:23:20,639
Speaker 1: to from a lot of It's very hurt. I was like,

442
00:23:20,640 --> 00:23:23,240
Speaker 1: this is not a chip man, it's like pressed together potato.

443
00:23:23,640 --> 00:23:27,000
Speaker 2: Oh they're so good. But with that, big said, I

444
00:23:27,080 --> 00:23:30,240
Speaker 2: welcome the Dourdo's hate. I know there's a lot of Dorito's.

445
00:23:30,440 --> 00:23:34,159
Speaker 2: The people ride hard for Giredos, so yeah.

446
00:23:33,680 --> 00:23:36,080
Speaker 1: I mean, it's just the leading tortilla chip brand in America.

447
00:23:36,160 --> 00:23:37,679
Speaker 1: I mean, I mean, I guess you do have your

448
00:23:37,720 --> 00:23:40,720
Speaker 1: finger on the post, because I mean, Tostos doesn't even

449
00:23:40,960 --> 00:23:43,000
Speaker 1: They're not even doing a third of the business Dorito's.

450
00:23:43,240 --> 00:23:46,439
Speaker 2: Miles, you're a little bit misguided on your chip takes.

451
00:23:46,480 --> 00:23:48,800
Speaker 2: But nevertheless, I don't think it's going to affect our

452
00:23:48,840 --> 00:23:49,880
Speaker 2: friendship at all.

453
00:23:49,960 --> 00:23:52,240
Speaker 1: No, it won't. It won't. Yeah, we see, I mean,

454
00:23:52,280 --> 00:23:54,080
Speaker 1: because we're able to see the humanity in each other.

455
00:23:54,080 --> 00:23:56,119
Speaker 1: And I think that's what your friendship is about. Despite

456
00:23:56,119 --> 00:23:58,320
Speaker 1: our terrible taste.

457
00:23:59,280 --> 00:24:04,480
Speaker 3: I do think are objectively evil. I think they are good,

458
00:24:05,720 --> 00:24:10,000
Speaker 3: like I think so. I think they are the pinnacle

459
00:24:10,080 --> 00:24:12,439
Speaker 3: of food science, or like one of the pinnacles of

460
00:24:12,440 --> 00:24:15,720
Speaker 3: food science. And in that I'm unable to stop eating

461
00:24:15,800 --> 00:24:19,080
Speaker 3: Dorito's once I start eating Dorito's. I also think they

462
00:24:19,080 --> 00:24:23,360
Speaker 3: are underrated as a conveyance of so. I think Dorito's

463
00:24:23,359 --> 00:24:27,760
Speaker 3: locos tacos are great, and I think eating salsa with

464
00:24:28,000 --> 00:24:31,480
Speaker 3: nacho cheese Doritos is actually fucking awesome.

465
00:24:31,800 --> 00:24:34,800
Speaker 1: But I'm a I'm a freak like that, as I mentioned,

466
00:24:34,960 --> 00:24:36,840
Speaker 1: m I ak. You know how to really if you

467
00:24:37,000 --> 00:24:39,240
Speaker 1: want to really freak it, you do the like shitty

468
00:24:39,359 --> 00:24:42,760
Speaker 1: cann salsa with cream cheese and then you eat that

469
00:24:42,800 --> 00:24:44,720
Speaker 1: with a and you're eat that with.

470
00:24:45,320 --> 00:24:48,359
Speaker 2: And oh you might be grabbing me there. See that's

471
00:24:48,359 --> 00:24:51,040
Speaker 2: something I could get behind, minus the dorrito plant.

472
00:24:51,080 --> 00:24:51,840
Speaker 1: Have you ever done that?

473
00:24:52,680 --> 00:24:55,359
Speaker 2: No, I mean I like to like I feel like

474
00:24:55,400 --> 00:24:58,320
Speaker 2: in la like when I say something like cream cheese,

475
00:24:58,480 --> 00:25:04,040
Speaker 2: any cream cheese added to anything like is just incredible,

476
00:25:04,400 --> 00:25:08,520
Speaker 2: you know, like you can mix it with literally it's

477
00:25:08,560 --> 00:25:12,240
Speaker 2: just amazing, it really is. But I do appreciate that

478
00:25:12,320 --> 00:25:15,919
Speaker 2: you acknowledge the inherent evil of Doritos, and maybe that

479
00:25:16,080 --> 00:25:18,480
Speaker 2: was what I was, what I spiritually sent about.

480
00:25:18,560 --> 00:25:22,240
Speaker 3: You're just sensing that. Yeah, they're basically the successor, the

481
00:25:22,359 --> 00:25:30,800
Speaker 3: spiritual successor to the cigarette industry. They are here to

482
00:25:30,880 --> 00:25:33,400
Speaker 3: kill us, and they're they've done a pretty good job

483
00:25:33,520 --> 00:25:35,240
Speaker 3: for a couple of days.

484
00:25:35,320 --> 00:25:37,560
Speaker 2: Just showed a bag of open Doritos.

485
00:25:38,640 --> 00:25:45,399
Speaker 1: Sorry, it's the little snack bags. And guess what I

486
00:25:45,440 --> 00:25:48,360
Speaker 1: can't I can't just have one of those little lunch bags.

487
00:25:49,840 --> 00:25:51,640
Speaker 2: Because they have drugs in him.

488
00:25:52,040 --> 00:25:57,439
Speaker 1: They they are drugs. All right, let's uh, let's take

489
00:25:57,480 --> 00:25:59,720
Speaker 1: a quick break. Get our bearings. We're gonna do some

490
00:25:59,760 --> 00:26:02,800
Speaker 1: bock breathing. We're just gonna center ourselves. I'm gonna put

491
00:26:02,800 --> 00:26:06,080
Speaker 1: our attention all of our being below.

492
00:26:05,800 --> 00:26:09,000
Speaker 7: The neck from the neck down. All right, We're gonna

493
00:26:09,080 --> 00:26:13,679
Speaker 7: just in hell exhale. And when we exhale, we're going

494
00:26:13,760 --> 00:26:16,480
Speaker 7: to all our stress and it's going to run down

495
00:26:16,560 --> 00:26:19,240
Speaker 7: through our body, down through our legs, down through the

496
00:26:19,240 --> 00:26:23,000
Speaker 7: bottom of our feet, through the floorboards.

497
00:26:21,920 --> 00:26:28,000
Speaker 1: Into the earth, into the into down to hell where Sorry,

498
00:26:28,080 --> 00:26:31,720
Speaker 1: was that too much? Down to Hell? Send your stress

499
00:26:31,840 --> 00:26:34,920
Speaker 1: down the hell. Let's take a quick break. We'll be

500
00:26:35,040 --> 00:26:35,440
Speaker 1: right back.

501
00:26:35,520 --> 00:26:47,639
Speaker 4: Bye bye, and we're back.

502
00:26:48,320 --> 00:26:52,879
Speaker 1: We missed you. Bye. Oh hi, Miles? What bye? Fuck

503
00:26:53,119 --> 00:26:55,000
Speaker 1: you said? Bye? I didn't I thought it we were over.

504
00:26:55,359 --> 00:26:57,840
Speaker 1: He just threw me off with the bie Hi.

505
00:26:58,680 --> 00:27:02,800
Speaker 3: Well, let's talk you bye. He didn't speaking of bye

506
00:27:03,119 --> 00:27:06,240
Speaker 3: Joe Biden. That's what you were saying. You were just

507
00:27:06,280 --> 00:27:08,560
Speaker 3: trying to get started on this next story.

508
00:27:10,400 --> 00:27:15,520
Speaker 1: What's he up to this time? Miles been? You know,

509
00:27:15,600 --> 00:27:17,920
Speaker 1: Joe Biden's presidency has been a lot, like recently, a

510
00:27:17,920 --> 00:27:20,880
Speaker 1: lot of one for them being the GOP and one

511
00:27:20,960 --> 00:27:24,880
Speaker 1: for you, the the left or Democratic base or people

512
00:27:24,880 --> 00:27:27,960
Speaker 1: who thought the world could be a better place. But yeah,

513
00:27:28,240 --> 00:27:31,200
Speaker 1: Biden hasn't really done much to differentiate himself from Trump,

514
00:27:31,240 --> 00:27:32,960
Speaker 1: you know, when it comes to immigration, Like he left

515
00:27:33,000 --> 00:27:35,919
Speaker 1: a lot of policies in place from Trump's administration and

516
00:27:35,960 --> 00:27:38,400
Speaker 1: even like altered some of them a bit. And then

517
00:27:38,400 --> 00:27:42,119
Speaker 1: he really pissed off his own supporters by appeasing Republicans

518
00:27:42,160 --> 00:27:44,560
Speaker 1: and cracking down on the number of asylum seekers that

519
00:27:44,600 --> 00:27:49,160
Speaker 1: can enter the country. Well, I guess Biden decided that now,

520
00:27:49,440 --> 00:27:51,919
Speaker 1: or at least on Monday, which was the anniversary of

521
00:27:51,960 --> 00:27:55,000
Speaker 1: the DACA program from Obama, is the day he will

522
00:27:55,000 --> 00:27:57,840
Speaker 1: announce a policy that is the biggest push to grant

523
00:27:57,840 --> 00:28:03,520
Speaker 1: amnesty to undocumented immigrants v Obama's DOCA program in twenty twelve.

524
00:28:03,800 --> 00:28:06,359
Speaker 1: So what does it do. It essentially gives a path

525
00:28:06,640 --> 00:28:10,720
Speaker 1: to apply for permanent residents to undocumented people and their

526
00:28:10,800 --> 00:28:14,920
Speaker 1: children that are married to US citizens. So basically anyone

527
00:28:15,440 --> 00:28:19,200
Speaker 1: undocumented spouses step children of US citizens can apply. This

528
00:28:19,400 --> 00:28:22,560
Speaker 1: is around five hundred thousand spouses and about fifty thousand

529
00:28:22,600 --> 00:28:24,840
Speaker 1: of their step children that could be eligible for this

530
00:28:24,920 --> 00:28:28,399
Speaker 1: new program. And these people do have the opportunity to

531
00:28:28,440 --> 00:28:31,639
Speaker 1: apply for permanent residents already by being married to an American,

532
00:28:32,000 --> 00:28:35,440
Speaker 1: But if you've entered the country without proper legal permission

533
00:28:35,520 --> 00:28:38,280
Speaker 1: and stay for over one year, you have to leave

534
00:28:38,320 --> 00:28:41,280
Speaker 1: the US and stay abroad for at least ten years

535
00:28:41,320 --> 00:28:44,720
Speaker 1: before you can actually apply for permanent residents. So again,

536
00:28:44,800 --> 00:28:47,479
Speaker 1: this means that families don't have to be broken up

537
00:28:47,760 --> 00:28:50,959
Speaker 1: despite their immigration status, which is a great thing. And

538
00:28:51,040 --> 00:28:54,160
Speaker 1: to qualify for the program, non citizens must as of

539
00:28:54,240 --> 00:28:57,040
Speaker 1: June seventeenth have been living in the US for at

540
00:28:57,120 --> 00:28:59,360
Speaker 1: least ten years and have been married to a US

541
00:28:59,440 --> 00:29:05,280
Speaker 1: citizen before that date, and the administration they've they estimated

542
00:29:05,280 --> 00:29:08,239
Speaker 1: that the average time that applicants have spent time in

543
00:29:08,280 --> 00:29:11,240
Speaker 1: the US is twenty three years. So this isn't the

544
00:29:11,360 --> 00:29:14,240
Speaker 1: kind of like immigration bill where Republicans can claim that

545
00:29:14,360 --> 00:29:17,240
Speaker 1: like the borders are open, but obviously that will not

546
00:29:17,320 --> 00:29:19,840
Speaker 1: stop them because nothing is about fact and it's just

547
00:29:19,880 --> 00:29:24,400
Speaker 1: about cranking up the xenophobia before the election. So yeah,

548
00:29:24,600 --> 00:29:27,960
Speaker 1: a bit of good news despite the last thing that

549
00:29:28,320 --> 00:29:30,200
Speaker 1: came out of the administration reguarding immigration.

550
00:29:30,560 --> 00:29:34,400
Speaker 3: But this is so they're like addressing for people who

551
00:29:34,520 --> 00:29:40,800
Speaker 3: are married to somebody who aren't actually like allowed, because

552
00:29:40,840 --> 00:29:43,680
Speaker 3: if you get married to an American like that doesn't

553
00:29:43,680 --> 00:29:46,080
Speaker 3: automatically make you a US citizen.

554
00:29:46,440 --> 00:29:49,120
Speaker 1: No I did. Well, you know, you're able to take

555
00:29:49,200 --> 00:29:52,040
Speaker 1: all the time you can apply, but if your legal

556
00:29:52,080 --> 00:29:54,760
Speaker 1: status was not, like if you didn't have the proper

557
00:29:54,800 --> 00:29:57,400
Speaker 1: permission to be in the United States, then that would

558
00:29:57,480 --> 00:30:00,000
Speaker 1: cause people to have to exit the country for ten years.

559
00:30:00,600 --> 00:30:01,440
Speaker 1: Because ten years is.

560
00:30:01,680 --> 00:30:03,680
Speaker 3: So crazy, Like I thought, I thought it was gonna

561
00:30:03,680 --> 00:30:05,680
Speaker 3: be like okay, go back, and then come back and

562
00:30:05,720 --> 00:30:09,000
Speaker 3: you're good. But no, yeah, you're you're good. You just

563
00:30:09,040 --> 00:30:11,360
Speaker 3: need to leave the country for ten years.

564
00:30:12,040 --> 00:30:15,040
Speaker 2: TV shows, like every TV show is like, oh, I

565
00:30:15,120 --> 00:30:16,880
Speaker 2: your murder for a green card.

566
00:30:17,200 --> 00:30:19,040
Speaker 1: Yeah right, but you could do that. If you can't,

567
00:30:19,080 --> 00:30:20,960
Speaker 1: Let's say you had a visa to come in and

568
00:30:21,040 --> 00:30:23,680
Speaker 1: during that time, like you were actually allowed to be

569
00:30:23,800 --> 00:30:24,920
Speaker 1: in the United States and.

570
00:30:25,400 --> 00:30:29,360
Speaker 3: You're legally here in the US. Yeah, that's what is

571
00:30:29,920 --> 00:30:35,239
Speaker 3: exactly the way. Visa that allows you to date like

572
00:30:35,480 --> 00:30:38,440
Speaker 3: mad and hopefully find a spell.

573
00:30:38,480 --> 00:30:40,400
Speaker 1: And then from there you're usually like in a very

574
00:30:40,440 --> 00:30:42,520
Speaker 1: long process to get you know, your green card or

575
00:30:42,520 --> 00:30:45,000
Speaker 1: permanent residence status and things like that. But this will

576
00:30:45,040 --> 00:30:47,120
Speaker 1: allow people to work and do other things, so it's

577
00:30:47,200 --> 00:30:49,200
Speaker 1: you know, it's not as disruptive, and a lot of

578
00:30:49,240 --> 00:30:52,480
Speaker 1: people wouldn't go through to apply for permanent residents because

579
00:30:52,520 --> 00:30:54,160
Speaker 1: they would have to leave for ten years and like,

580
00:30:54,160 --> 00:30:56,280
Speaker 1: well I have fucking kids and shit, I can't do that.

581
00:30:56,640 --> 00:30:59,600
Speaker 1: So yeah, yeah, this is years is so little wits

582
00:31:00,640 --> 00:31:03,480
Speaker 1: small victories and also helps there's also some streamlining of

583
00:31:03,520 --> 00:31:06,760
Speaker 1: the laws for people in the DACA program. But yeah,

584
00:31:06,800 --> 00:31:10,480
Speaker 1: this was a I'm surprised that the front page of

585
00:31:10,480 --> 00:31:14,200
Speaker 1: the Drudge Report did not have them screaming about this

586
00:31:14,320 --> 00:31:17,280
Speaker 1: new sort of program as it relates to immigration from

587
00:31:17,320 --> 00:31:21,840
Speaker 1: the Biden. They had the fucking Boston Celtics championship, and

588
00:31:22,320 --> 00:31:24,200
Speaker 1: it's like, okay.

589
00:31:24,000 --> 00:31:26,760
Speaker 2: Man, I was so excited to come on here the

590
00:31:26,880 --> 00:31:28,920
Speaker 2: day in the NBA finals.

591
00:31:31,200 --> 00:31:35,800
Speaker 3: Of course Boston Celtics get a front page Drudge Report.

592
00:31:36,040 --> 00:31:38,520
Speaker 1: It's a win for US Bruins, you know, because of

593
00:31:38,640 --> 00:31:39,320
Speaker 1: Drew Holiday.

594
00:31:39,360 --> 00:31:43,800
Speaker 3: But god, I don't even know why I hate the

595
00:31:43,840 --> 00:31:46,960
Speaker 3: Celtics at this point, Like I know why, players.

596
00:31:48,320 --> 00:31:52,480
Speaker 1: The team something about it. Maybe it's anti Lakers in Yeah,

597
00:31:52,480 --> 00:31:54,200
Speaker 1: that's I mean, that's yeah. We have a we have

598
00:31:54,240 --> 00:31:57,560
Speaker 1: a just we can't handle it here seeing that Dan

599
00:31:57,800 --> 00:32:00,200
Speaker 1: have one more banner than us. So yeah, I'm I've

600
00:32:00,240 --> 00:32:03,080
Speaker 1: already received plenty of dunks on the internet already from

601
00:32:03,080 --> 00:32:06,400
Speaker 1: my yeah, an eighteenth banner, But hey, we accept it

602
00:32:06,440 --> 00:32:07,400
Speaker 1: and we breathe through it.

603
00:32:07,800 --> 00:32:08,959
Speaker 2: Yeah, and we breathed through it.

604
00:32:09,480 --> 00:32:12,480
Speaker 3: The last time the Celtics won. The last five Celtics

605
00:32:12,560 --> 00:32:20,920
Speaker 3: championships were followed immediately by at least one.

606
00:32:20,880 --> 00:32:21,320
Speaker 1: Following.

607
00:32:21,480 --> 00:32:25,880
Speaker 3: Yeah, a record that will soon be broken.

608
00:32:26,720 --> 00:32:29,719
Speaker 1: Exactly. They're not good, not with this team, not with

609
00:32:29,760 --> 00:32:32,400
Speaker 1: these owns. Probably not with these guys as.

610
00:32:32,400 --> 00:32:35,720
Speaker 2: Sad though, Like I you know, everyone on Twitter was

611
00:32:35,720 --> 00:32:39,360
Speaker 2: like trending saying it was the worst NBAH like championship

612
00:32:39,440 --> 00:32:42,280
Speaker 2: game ever. But there is something. I mean, it's great

613
00:32:42,360 --> 00:32:46,400
Speaker 2: for the winning team, but for the viewer, like a

614
00:32:46,440 --> 00:32:48,360
Speaker 2: blowout is just like not fun.

615
00:32:48,680 --> 00:32:50,280
Speaker 1: Yeah yeah, and no exactly.

616
00:32:50,880 --> 00:32:54,040
Speaker 3: The ratings are way down. I feel like people generally

617
00:32:54,120 --> 00:32:56,720
Speaker 3: don't like the Celtics. So when the Celtics are doing good,

618
00:32:57,080 --> 00:32:59,920
Speaker 3: when the when things are good for the Celtics, America

619
00:33:00,160 --> 00:33:04,640
Speaker 3: is losing. Seldom's when America loses. Just keep that in mind,

620
00:33:04,800 --> 00:33:09,680
Speaker 3: NBA and the referees. I'm just saying, guys, help on

621
00:33:10,080 --> 00:33:13,680
Speaker 3: the thing with the immigrants. I was just gonna say, like,

622
00:33:14,000 --> 00:33:16,200
Speaker 3: I guess the important thing is the numbers, right, they're

623
00:33:16,240 --> 00:33:19,320
Speaker 3: putting up numbers. Five hundred thousand spouses, fifty thousand of

624
00:33:19,320 --> 00:33:22,640
Speaker 3: their step children could be eligible. That's the thing. I

625
00:33:22,720 --> 00:33:27,080
Speaker 3: just from a political perspective, again, it feels like a

626
00:33:27,120 --> 00:33:30,480
Speaker 3: lot of people are probably like wait, I thought those

627
00:33:30,480 --> 00:33:35,760
Speaker 3: people already had like access to legal immigration. Anyways, I

628
00:33:35,800 --> 00:33:38,440
Speaker 3: do want to just talk about immigration in general because

629
00:33:38,960 --> 00:33:46,560
Speaker 3: there's just all of this evidence that immigration is just

630
00:33:46,600 --> 00:33:49,960
Speaker 3: a win. It's like win win when like wins all

631
00:33:50,000 --> 00:33:53,440
Speaker 3: the way down for America if they would just let

632
00:33:53,480 --> 00:33:57,239
Speaker 3: it happen. And the thing that has been happening is

633
00:33:57,760 --> 00:34:02,280
Speaker 3: that both sides have been in you know, bowing to

634
00:34:02,520 --> 00:34:05,840
Speaker 3: racists and like racist fear. But like if you just

635
00:34:06,400 --> 00:34:10,680
Speaker 3: I don't know why this point isn't being made more consistently,

636
00:34:10,880 --> 00:34:13,600
Speaker 3: Like it seems to help all the things that like

637
00:34:13,719 --> 00:34:17,520
Speaker 3: conservatives claim to care about, like the economy, like that.

638
00:34:17,760 --> 00:34:21,080
Speaker 3: It's it's not just that the US can handle more immigrants.

639
00:34:21,400 --> 00:34:25,919
Speaker 3: We desperately need more immigrants, like the it's the thing

640
00:34:26,000 --> 00:34:30,120
Speaker 3: that drives the US economy. Like anytime the US has

641
00:34:30,200 --> 00:34:35,000
Speaker 3: like an uptick in economic success, it's usually because immigration

642
00:34:35,280 --> 00:34:39,200
Speaker 3: is up. Like the right is always like so scared

643
00:34:39,239 --> 00:34:42,880
Speaker 3: about like population growth and like, well, like people, the

644
00:34:42,920 --> 00:34:46,120
Speaker 3: birth rate's going down, so we're fucked. And it's like, well,

645
00:34:46,160 --> 00:34:51,440
Speaker 3: actually not if you just allow people to immigrate, like.

646
00:34:51,239 --> 00:34:53,640
Speaker 1: We're not fucked because the birth rate is going.

647
00:34:53,480 --> 00:35:01,080
Speaker 3: Down down it poses economic challenges that they really want

648
00:35:01,120 --> 00:35:03,800
Speaker 3: to emphasize and be like where fucked you guys?

649
00:35:04,120 --> 00:35:08,200
Speaker 1: This is no, this is bad news because able.

650
00:35:07,960 --> 00:35:09,760
Speaker 2: To make it better well.

651
00:35:09,600 --> 00:35:12,000
Speaker 1: And also a lot of billionaires are like, we need

652
00:35:12,040 --> 00:35:15,239
Speaker 1: more people, like it's a crisis, like Elon Musk and

653
00:35:15,320 --> 00:35:20,520
Speaker 1: like that's why you just said me, yeahs obsessed. He's like,

654
00:35:20,560 --> 00:35:23,680
Speaker 1: if we had more people born, we could have more

655
00:35:23,800 --> 00:35:27,720
Speaker 1: Mozarts and more Einstein's and things like that. But the

656
00:35:27,760 --> 00:35:30,120
Speaker 1: thing that they failed to like really acknowledge is like,

657
00:35:30,160 --> 00:35:33,000
Speaker 1: you need a level of stability for people to become

658
00:35:33,120 --> 00:35:35,200
Speaker 1: Mozarts or Einstein's and if.

659
00:35:35,160 --> 00:35:37,080
Speaker 2: Yeah, and you don't even have enough days in the

660
00:35:37,160 --> 00:35:38,920
Speaker 2: week to go visit all your kids.

661
00:35:39,000 --> 00:35:42,319
Speaker 3: So and by the way, the last generation of billionaires

662
00:35:42,600 --> 00:35:46,479
Speaker 3: they were freaking out because the population was growing too much.

663
00:35:46,760 --> 00:35:49,200
Speaker 3: So like they just they just always want to have

664
00:35:49,239 --> 00:35:51,400
Speaker 3: a thing to freak out about that allows them to

665
00:35:51,520 --> 00:35:56,160
Speaker 3: speculate about getting rid of huge swaths of people or

666
00:35:56,680 --> 00:36:00,399
Speaker 3: everybody fucking them in this case, right, but just putting

667
00:36:00,440 --> 00:36:03,960
Speaker 3: aside the moral responsibility the country has for safely welcoming

668
00:36:04,000 --> 00:36:08,320
Speaker 3: migrants into the country, like the so the nonpartisan Congressional

669
00:36:08,320 --> 00:36:12,279
Speaker 3: Budget Office projected a smaller deficit and national debt than

670
00:36:12,400 --> 00:36:17,239
Speaker 3: last year because of an unprecedented spike, like not unprecedent

671
00:36:17,320 --> 00:36:21,319
Speaker 3: but like just normal, pre pandemic levels of immigration, Like

672
00:36:21,400 --> 00:36:24,080
Speaker 3: it's the thing that is allowing the US economy to

673
00:36:24,200 --> 00:36:28,880
Speaker 3: bounce back is immigration going back to pre pandemic levels.

674
00:36:29,120 --> 00:36:31,560
Speaker 1: But if there's immigrants, my wages go down.

675
00:36:32,160 --> 00:36:35,799
Speaker 3: No, that your wages actually go up, Like that's the other.

676
00:36:35,920 --> 00:36:39,160
Speaker 1: Yeah, it's good for like that's the There's just.

677
00:36:39,160 --> 00:36:42,720
Speaker 3: So many details of this argument that we've been hearing

678
00:36:42,840 --> 00:36:46,759
Speaker 3: for fucking decades that just like aren't true, and like

679
00:36:46,800 --> 00:36:50,520
Speaker 3: the mainstream media has just been allowing, like Fox News

680
00:36:50,560 --> 00:36:53,839
Speaker 3: to say them and not being like, actually, no, it's

681
00:36:54,320 --> 00:36:57,680
Speaker 3: the opposite of that, right, the immigrants boot. So there's

682
00:36:57,800 --> 00:37:01,160
Speaker 3: a study that shows immigrants boost the ECONO by sparking innovation,

683
00:37:01,360 --> 00:37:05,720
Speaker 3: driving up wages, driving up wages like across the board,

684
00:37:06,000 --> 00:37:09,320
Speaker 3: as well as appealing to foreign investors opening long term

685
00:37:09,520 --> 00:37:12,239
Speaker 3: export opportunities. So it's like all the ship that the

686
00:37:12,280 --> 00:37:15,479
Speaker 3: mainstream media loves to talk about, Like you think about

687
00:37:15,480 --> 00:37:17,960
Speaker 3: your country as an investment, it's like all that stuff

688
00:37:18,440 --> 00:37:22,080
Speaker 3: immigration like drives that is like the best thing for that.

689
00:37:22,400 --> 00:37:22,520
Speaker 1: Right.

690
00:37:22,760 --> 00:37:25,520
Speaker 3: There's this one article that notes that the so called

691
00:37:25,600 --> 00:37:31,360
Speaker 3: immigration surplus boosts the GDP and raises incomes for non immigrants.

692
00:37:31,560 --> 00:37:34,880
Speaker 3: And if you're wondering what left wing rag printed that story,

693
00:37:35,160 --> 00:37:39,399
Speaker 3: it's the goddamn George W. Bush Institute.

694
00:37:40,680 --> 00:37:42,880
Speaker 2: I didn't even know that.

695
00:37:44,360 --> 00:37:47,440
Speaker 1: Oh, Blair, you must. I've got some articles I have

696
00:37:47,520 --> 00:37:48,080
Speaker 1: to share with you.

697
00:37:48,600 --> 00:37:51,920
Speaker 2: Yes, please do thank youshops.

698
00:37:52,040 --> 00:37:54,200
Speaker 1: Yeah, yes, how to draw an apple tree.

699
00:37:54,560 --> 00:37:59,080
Speaker 2: Oh, and there's like elderly art galleries and stuff.

700
00:37:59,680 --> 00:38:02,160
Speaker 1: Yeah. Yeah, and good studies on immigration.

701
00:38:02,760 --> 00:38:05,400
Speaker 2: Wow, beautiful, so well rounded.

702
00:38:05,960 --> 00:38:10,279
Speaker 3: He's yeah, a true renaissance man dynamic. He can both

703
00:38:10,440 --> 00:38:13,040
Speaker 3: lead directly to the deaths of all the soldiers and

704
00:38:13,160 --> 00:38:15,920
Speaker 3: do a like c plus job of painting them after

705
00:38:15,960 --> 00:38:19,440
Speaker 3: they died. He's got all the bases covered. The US

706
00:38:19,520 --> 00:38:22,560
Speaker 3: Department of Health and Human Services published a groundbreaking report

707
00:38:22,560 --> 00:38:26,120
Speaker 3: which concluded that refugees and assi les had a positive

708
00:38:26,160 --> 00:38:29,320
Speaker 3: net fiscal impact on the US government over a fifteen

709
00:38:29,400 --> 00:38:32,279
Speaker 3: year period, totally one hundred and twenty three point eight

710
00:38:32,360 --> 00:38:36,759
Speaker 3: billion dollars. Again, like, I think it's weird to like

711
00:38:37,000 --> 00:38:40,080
Speaker 3: quantify people human lives and like the need to do

712
00:38:40,160 --> 00:38:44,000
Speaker 3: the morally correct thing in dollar figures. But it is

713
00:38:44,800 --> 00:38:52,040
Speaker 3: the like the mainstream, like supposedly left leaning media is allowing.

714
00:38:52,800 --> 00:38:54,480
Speaker 3: It is just like leaving all the shit on the

715
00:38:54,480 --> 00:38:57,400
Speaker 3: table that they love talking about or even.

716
00:38:57,280 --> 00:38:59,959
Speaker 1: Like perspective, right, because there's always like this handring about

717
00:39:00,200 --> 00:39:02,799
Speaker 1: like I mean, you know, because many people are sort

718
00:39:02,800 --> 00:39:04,879
Speaker 1: of bought into this idea it's like we're letting too

719
00:39:04,920 --> 00:39:08,399
Speaker 1: many people into the country. But if you actually add

720
00:39:08,440 --> 00:39:10,920
Speaker 1: some context to that, we're like really low on the

721
00:39:10,960 --> 00:39:13,680
Speaker 1: list of developed nations that are actually like the amount

722
00:39:13,719 --> 00:39:16,560
Speaker 1: of people that are entering the United States as immigrants

723
00:39:16,680 --> 00:39:18,359
Speaker 1: is completely different than you know.

724
00:39:18,400 --> 00:39:22,239
Speaker 3: We're between forty and forty one on the legal immigration

725
00:39:23,080 --> 00:39:26,440
Speaker 3: list and like thirty fifth on overall immigration.

726
00:39:26,840 --> 00:39:30,320
Speaker 1: So right, yeah, like behind like in terms of per capita,

727
00:39:30,400 --> 00:39:33,000
Speaker 1: per capita per capita immigration. Yeah.

728
00:39:33,080 --> 00:39:33,560
Speaker 4: Yeah.

729
00:39:33,760 --> 00:39:35,040
Speaker 1: So it feels like.

730
00:39:35,160 --> 00:39:40,920
Speaker 3: The main issue is that because of racist fear and

731
00:39:40,960 --> 00:39:43,680
Speaker 3: these tropes that like immigration's bad for the economy and

732
00:39:43,800 --> 00:39:47,960
Speaker 3: like bad for just the country in general. Safety safety,

733
00:39:48,120 --> 00:39:51,319
Speaker 3: oh yeah, and by the way, safety, first generation immigrants

734
00:39:51,480 --> 00:39:56,400
Speaker 3: are the least likely people to commit crimes, Like across

735
00:39:56,440 --> 00:40:00,000
Speaker 3: the board, they are, like, this is a thing that's obvious,

736
00:40:00,320 --> 00:40:03,560
Speaker 3: raised repeatedly by the right wing when it comes to immigration.

737
00:40:03,640 --> 00:40:06,080
Speaker 3: Immigrants are far less likely to commit crimes than people

738
00:40:06,120 --> 00:40:10,120
Speaker 3: born here in any demographic just across the board. A

739
00:40:10,200 --> 00:40:15,280
Speaker 3: New Stanford white patriots are even white patriots. Stafford study

740
00:40:15,280 --> 00:40:17,719
Speaker 3: found immigrants are less likely to be incarcerated for a

741
00:40:17,760 --> 00:40:21,879
Speaker 3: crime the native born white Americans. And this has been

742
00:40:21,920 --> 00:40:24,840
Speaker 3: true since the eighties, and by that I mean the

743
00:40:24,960 --> 00:40:29,400
Speaker 3: eighteen eighties. It's just straight up always been true that

744
00:40:29,680 --> 00:40:34,480
Speaker 3: immigrants has come, they do great work, they pay like

745
00:40:34,520 --> 00:40:37,920
Speaker 3: they pay into like social Security. There's like all this

746
00:40:38,080 --> 00:40:41,799
Speaker 3: money coming in. They you know, they pay taxes, they

747
00:40:41,840 --> 00:40:47,360
Speaker 3: don't commit crimes all like just we have massive troves

748
00:40:47,480 --> 00:40:51,040
Speaker 3: of data that say that, like, this is the best

749
00:40:51,160 --> 00:40:54,759
Speaker 3: thing that the US has going for it is that

750
00:40:54,880 --> 00:40:58,200
Speaker 3: people want to come here, and when they do, they

751
00:40:58,239 --> 00:41:02,000
Speaker 3: do great work essentially, and they don't commit crimes. Basically

752
00:41:02,040 --> 00:41:07,000
Speaker 3: the opposite of all the bullshit that it dominates mainstream

753
00:41:07,040 --> 00:41:11,440
Speaker 3: media accounts of immigration. But because of racism and white supremacy,

754
00:41:12,000 --> 00:41:15,560
Speaker 3: they like it becomes a political issue, and then they

755
00:41:15,600 --> 00:41:19,799
Speaker 3: don't fund this, like intake systems, the systems for like

756
00:41:20,120 --> 00:41:24,760
Speaker 3: bringing these people in and safely like integrating them into

757
00:41:25,200 --> 00:41:29,759
Speaker 3: the society. And so now you need to be seeking asylum,

758
00:41:29,800 --> 00:41:32,399
Speaker 3: you need to be like fleeing something terrifying, and then

759
00:41:32,440 --> 00:41:36,080
Speaker 3: they don't fund that, and they don't have the necessary

760
00:41:36,160 --> 00:41:39,759
Speaker 3: infrastructure to help those people in and so you have

761
00:41:40,480 --> 00:41:44,759
Speaker 3: these areas that are just like overwhelmed with people. But

762
00:41:44,800 --> 00:41:47,480
Speaker 3: it's not because there are too many people again, Miles,

763
00:41:47,520 --> 00:41:50,080
Speaker 3: like you said, we are low on the list of

764
00:41:50,120 --> 00:41:53,920
Speaker 3: per capita immigration. It's it's not that we had there

765
00:41:53,960 --> 00:41:56,520
Speaker 3: are too many people for the US to handle. It's

766
00:41:56,600 --> 00:41:59,680
Speaker 3: just the US is hit choosing not to handle the

767
00:41:59,719 --> 00:42:02,360
Speaker 3: people because of racism.

768
00:42:02,840 --> 00:42:06,040
Speaker 1: Well, and also like we're constantly meant to think that

769
00:42:06,080 --> 00:42:08,799
Speaker 1: we're living in this like fucked up zero sum game too,

770
00:42:08,920 --> 00:42:11,399
Speaker 1: where it's like there's just there's nothing. There's just nothing,

771
00:42:11,640 --> 00:42:14,440
Speaker 1: like we can't handle anything. If that happens, then you

772
00:42:14,520 --> 00:42:17,360
Speaker 1: lose something Like That's always how so many things are framed,

773
00:42:17,440 --> 00:42:20,560
Speaker 1: Like when we're trying to progress societally, it's like, well,

774
00:42:20,600 --> 00:42:23,280
Speaker 1: if those people do better, then you're going to lose something.

775
00:42:23,640 --> 00:42:25,960
Speaker 1: It's like always like sort of the default context that

776
00:42:25,960 --> 00:42:28,359
Speaker 1: we're operating in or how these things are presented. But yeah,

777
00:42:28,640 --> 00:42:31,239
Speaker 1: like you say, all these charts make it look like

778
00:42:31,360 --> 00:42:33,080
Speaker 1: line go up, right.

779
00:42:33,120 --> 00:42:35,680
Speaker 3: All the charts, all those charts that y'all seem to

780
00:42:35,719 --> 00:42:38,319
Speaker 3: love is line go up and does not seem to

781
00:42:38,360 --> 00:42:41,200
Speaker 3: matter in this case. You seem to be very selective

782
00:42:41,280 --> 00:42:43,880
Speaker 3: of when you care about line go up. Yeah, so

783
00:42:44,520 --> 00:42:47,040
Speaker 3: it really I feel like a lot of it is

784
00:42:47,160 --> 00:42:49,840
Speaker 3: just like yeah, I think their music's weird.

785
00:42:49,960 --> 00:42:51,160
Speaker 1: Man, Like I don't.

786
00:42:51,480 --> 00:42:54,000
Speaker 3: I don't like their music, you know, like the shit

787
00:42:54,080 --> 00:42:56,560
Speaker 3: that the same fear that like old people have of

788
00:42:56,640 --> 00:42:59,520
Speaker 3: young people. I feel like it's just that it's like

789
00:42:59,600 --> 00:43:01,920
Speaker 3: they're different, and so I don't I don't want it

790
00:43:02,000 --> 00:43:04,400
Speaker 3: in my country, Like I don't want to be replaced

791
00:43:04,440 --> 00:43:04,839
Speaker 3: by that.

792
00:43:05,239 --> 00:43:08,000
Speaker 1: And it's just mm hmmm. It's like, well, you're going

793
00:43:08,080 --> 00:43:09,600
Speaker 1: to be replaced either way, because you were going to

794
00:43:09,640 --> 00:43:12,879
Speaker 1: be replaced and the thing that you're working demographically or

795
00:43:12,920 --> 00:43:16,920
Speaker 1: because of your existence. But that's inevitable. So let's embrace

796
00:43:16,960 --> 00:43:19,879
Speaker 1: the thing that helps people. And also, like I think

797
00:43:19,880 --> 00:43:21,480
Speaker 1: that's the other part too, Like we were talking about

798
00:43:21,480 --> 00:43:24,000
Speaker 1: this with Alec Krrit Cattanis is like there's so many

799
00:43:24,200 --> 00:43:26,719
Speaker 1: like for so much of the reason people end up

800
00:43:26,760 --> 00:43:30,600
Speaker 1: having to flee their countries typically intersects with US imperialism

801
00:43:30,640 --> 00:43:34,239
Speaker 1: at some point. Yeah, and it's like yeah, maybe, I mean, look,

802
00:43:34,719 --> 00:43:38,400
Speaker 1: we could have a great perpetual machine where we export imperialism,

803
00:43:38,520 --> 00:43:41,239
Speaker 1: make their countries unlivable, and then take them in if

804
00:43:41,239 --> 00:43:43,759
Speaker 1: we were just man, if we just embrace it, you know,

805
00:43:43,880 --> 00:43:47,120
Speaker 1: and then we would in the Olympics, at every competition.

806
00:43:48,360 --> 00:43:50,600
Speaker 3: Get really good at soccer. Finally, you know.

807
00:43:51,320 --> 00:43:52,719
Speaker 1: Oh we're run the way, we run our way, we

808
00:43:52,800 --> 00:43:54,759
Speaker 1: run our way. Are we about to like get our

809
00:43:54,800 --> 00:43:58,440
Speaker 1: ass kicked in the Olympics or I feel like Copa America,

810
00:43:58,840 --> 00:44:01,839
Speaker 1: Copa America. That's the that's that's the next tournament. But no,

811
00:44:02,600 --> 00:44:05,440
Speaker 1: they're doing all right because precisely that because it's like

812
00:44:05,480 --> 00:44:08,560
Speaker 1: it's you know, servicemen abroad, and also because of like

813
00:44:08,640 --> 00:44:11,719
Speaker 1: people who come from countries with strong soccer cultures are

814
00:44:11,760 --> 00:44:15,359
Speaker 1: making sure they look for even even the American sports argument.

815
00:44:15,200 --> 00:44:17,239
Speaker 2: Immigration, Yeah, we got a lot of big We got

816
00:44:17,280 --> 00:44:20,120
Speaker 2: a lot of big, big people in our country too.

817
00:44:20,920 --> 00:44:22,760
Speaker 1: Yeah, we have I think.

818
00:44:22,560 --> 00:44:23,640
Speaker 2: Compared to others.

819
00:44:23,880 --> 00:44:29,000
Speaker 1: Right, Oh do we have the I feel like Americans

820
00:44:29,000 --> 00:44:31,680
Speaker 1: are how what do you see, like which country is

821
00:44:31,719 --> 00:44:32,840
Speaker 1: the biggest bodies?

822
00:44:33,360 --> 00:44:35,680
Speaker 2: Yeah, Like we got a lot of antibiotics in our

823
00:44:35,719 --> 00:44:38,560
Speaker 2: food and ship like that growth hormones, don't you think.

824
00:44:39,520 --> 00:44:41,719
Speaker 1: Yeah, let's see, maybe not.

825
00:44:41,920 --> 00:44:44,480
Speaker 2: Resonant for soccer, but for other sports you know.

826
00:44:45,239 --> 00:44:47,080
Speaker 1: Oh yeah, I mean I still you don't need to be.

827
00:44:47,000 --> 00:44:49,080
Speaker 2: A tally for soccer. You got to be like a

828
00:44:49,120 --> 00:44:49,840
Speaker 2: little quickie.

829
00:44:49,880 --> 00:44:51,800
Speaker 1: You gotta be quick man. It's about that lateral speed,

830
00:44:51,920 --> 00:44:55,400
Speaker 1: fast twitch. Yeah. Dutch people are the tallest in the world.

831
00:44:56,320 --> 00:44:57,200
Speaker 1: They're the tallest.

832
00:44:57,800 --> 00:44:59,279
Speaker 2: Why are they so tall over there?

833
00:44:59,360 --> 00:45:01,560
Speaker 1: You know, I don't know, but we get we got

834
00:45:01,560 --> 00:45:03,520
Speaker 1: the body mask. We have to be top in the

835
00:45:03,560 --> 00:45:08,560
Speaker 1: body mass that Pacific Pacific islanders too, Yes, let's go.

836
00:45:08,920 --> 00:45:13,000
Speaker 2: Also someone's yeah, and also we got like a lot

837
00:45:13,000 --> 00:45:16,960
Speaker 2: of like protein culture. I feel here.

838
00:45:17,840 --> 00:45:21,160
Speaker 1: Yeah, yeah, at the expense of our health declining life

839
00:45:21,280 --> 00:45:25,400
Speaker 1: expected The life expectancy dropped for the second year in

840
00:45:25,440 --> 00:45:25,759
Speaker 1: a row.

841
00:45:26,239 --> 00:45:26,839
Speaker 2: Is that real?

842
00:45:27,239 --> 00:45:29,799
Speaker 1: Yeah, Yeah, it's like it's that's like a historic it's

843
00:45:29,840 --> 00:45:31,320
Speaker 1: never happened before too straight.

844
00:45:31,440 --> 00:45:34,720
Speaker 2: My grandma and great Antie just died at like ninety

845
00:45:34,760 --> 00:45:36,680
Speaker 2: eight and ninety seven, and then I just went to

846
00:45:36,719 --> 00:45:41,160
Speaker 2: my other great aunties a hundredth year birthday, and then

847
00:45:41,200 --> 00:45:44,759
Speaker 2: I think these people were like smoking and drinking and

848
00:45:44,800 --> 00:45:47,360
Speaker 2: stuff like I don't know what makes sense.

849
00:45:47,440 --> 00:45:49,560
Speaker 1: Fully, I wonder how much of it too, is like

850
00:45:49,560 --> 00:45:51,760
Speaker 1: because I think about that with like my my mom's

851
00:45:51,800 --> 00:45:53,719
Speaker 1: mom in Japan, she lived to be one hundred and one,

852
00:45:54,239 --> 00:45:57,560
Speaker 1: and it's like they she didn't start eatings. She didn't

853
00:45:57,560 --> 00:46:01,040
Speaker 1: start eating like processed food until like the seven So

854
00:46:01,480 --> 00:46:04,000
Speaker 1: a huge majority of our life is like I was

855
00:46:04,120 --> 00:46:07,720
Speaker 1: growing food or like eating food we made by hand,

856
00:46:07,960 --> 00:46:11,239
Speaker 1: whereas now I need my two cans of pringles.

857
00:46:12,360 --> 00:46:15,239
Speaker 2: I know, I know, it's very sad we've gone so

858
00:46:15,320 --> 00:46:18,239
Speaker 2: far away. I feel like Japan is Japan one of

859
00:46:18,600 --> 00:46:21,120
Speaker 2: like the what are they called those places like the

860
00:46:21,160 --> 00:46:24,400
Speaker 2: blue blue blue zone, Yeah, the blue zone.

861
00:46:24,840 --> 00:46:26,800
Speaker 1: Yeah, yeah, I mean it definitely has like some of

862
00:46:26,840 --> 00:46:28,480
Speaker 1: the highest life expectancy.

863
00:46:28,600 --> 00:46:31,359
Speaker 3: I used to Yeah, by the way, not sure. Cheese

864
00:46:31,400 --> 00:46:34,520
Speaker 3: Doritos introduced them the seventies. Nineteen seventy two.

865
00:46:35,080 --> 00:46:40,120
Speaker 2: Jack, you're sick and you need God, And.

866
00:46:40,000 --> 00:46:41,960
Speaker 3: That's not I wasn't reading that off the internet. I

867
00:46:42,000 --> 00:46:44,080
Speaker 3: was reading that off the tattoo that I have on

868
00:46:44,120 --> 00:46:45,040
Speaker 3: the inside of my arm.

869
00:46:46,760 --> 00:46:50,120
Speaker 1: Very nice. Hong Kong, Macau and Japan are the top.

870
00:46:49,920 --> 00:46:56,760
Speaker 3: Three the the longest, then Switzerland, Singapore, Italy Blair.

871
00:46:56,920 --> 00:46:59,440
Speaker 1: Yeah, let's go. It's Kong.

872
00:46:59,600 --> 00:47:02,440
Speaker 2: I had crazy pollution like that. There was a lot

873
00:47:02,440 --> 00:47:05,560
Speaker 2: of lung cancer there is that not true?

874
00:47:05,680 --> 00:47:08,360
Speaker 1: On average eighty five point eight three years for both.

875
00:47:08,440 --> 00:47:13,000
Speaker 2: WHOA that's high as how great Hong Kong.

876
00:47:12,880 --> 00:47:15,560
Speaker 1: I've never heard that. I've always heard Japan that one

877
00:47:15,640 --> 00:47:22,080
Speaker 1: town in California. Dude from c I A dot Gov, Like,

878
00:47:22,239 --> 00:47:22,960
Speaker 1: I never.

879
00:47:22,800 --> 00:47:25,960
Speaker 3: Got here's some here's a problem we got to fix, guys.

880
00:47:27,440 --> 00:47:30,400
Speaker 1: Well, actually, their latest one says Monaco has the highest

881
00:47:30,440 --> 00:47:32,239
Speaker 1: What the fuck are they doing in Monaco? They're just

882
00:47:32,320 --> 00:47:36,160
Speaker 1: rich as fuck. I know, gambling, yeah.

883
00:47:36,520 --> 00:47:41,400
Speaker 2: Damn to eat ship like Doritos. They're at the gambling

884
00:47:41,719 --> 00:47:44,880
Speaker 2: the craps table, like, good for you.

885
00:47:45,320 --> 00:47:48,080
Speaker 1: They're like, I actually get all my macros through these

886
00:47:48,520 --> 00:47:52,920
Speaker 1: special millionaire really good, really good for your gut biome

887
00:47:53,280 --> 00:47:54,320
Speaker 1: Monico Doritos.

888
00:47:54,520 --> 00:47:56,440
Speaker 2: Yeah, they don't have Doritos.

889
00:47:57,040 --> 00:47:59,880
Speaker 1: I guess monic what do you what's the adjective for

890
00:48:00,080 --> 00:48:06,200
Speaker 1: mon Monica it is? I think so wow, Hey monicinn

891
00:48:07,000 --> 00:48:13,280
Speaker 1: one time monoga or monic cany.

892
00:48:11,640 --> 00:48:15,440
Speaker 2: Alright, monic gas is kind of cool though, that goes.

893
00:48:16,239 --> 00:48:21,960
Speaker 1: Yeah, b yeah, I'm changing. I'm changing. I'm changing my nationality.

894
00:48:22,040 --> 00:48:23,640
Speaker 1: I'm monogasque. There you go.

895
00:48:24,080 --> 00:48:26,880
Speaker 2: Thank you didn't know you could do that, Miles.

896
00:48:26,880 --> 00:48:29,759
Speaker 1: That's actually his superpower. Kind of problematic when I go

897
00:48:29,800 --> 00:48:30,880
Speaker 1: to ethnic restaurants.

898
00:48:30,880 --> 00:48:36,200
Speaker 3: But hey, yea or and by ethnic restaurants, he means

899
00:48:36,280 --> 00:48:42,760
Speaker 3: the cheesecake factory. Yes, thank you, just like ethnicity, firecracker chicken.

900
00:48:45,640 --> 00:48:48,680
Speaker 3: All right, let's take a quick break and we'll be

901
00:48:48,800 --> 00:48:52,959
Speaker 3: back to hear about the cheating husband who blame Apple.

902
00:49:03,320 --> 00:49:04,880
Speaker 5: And we're back.

903
00:49:05,600 --> 00:49:09,799
Speaker 1: We are and wow, cheaters are cheating out here, man,

904
00:49:10,680 --> 00:49:12,080
Speaker 1: cheaters be cheating.

905
00:49:12,680 --> 00:49:15,840
Speaker 3: I'm a little surprised that this doesn't happen more often.

906
00:49:15,880 --> 00:49:18,480
Speaker 3: Maybe it does happen all the time, and this is

907
00:49:18,560 --> 00:49:21,160
Speaker 3: just the first guy who's like, not fair.

908
00:49:21,640 --> 00:49:24,480
Speaker 1: But like, you're such a narcissist that you deflect to

909
00:49:24,520 --> 00:49:27,520
Speaker 1: the point that you're willing to sue Apple like this.

910
00:49:28,280 --> 00:49:31,640
Speaker 1: So I love like whenever people get caught cheating or lying,

911
00:49:32,280 --> 00:49:36,319
Speaker 1: that human impulse of self preservation to blame others. I

912
00:49:36,320 --> 00:49:39,359
Speaker 1: think it's so hilarious because like when you see people like, oh, well,

913
00:49:39,360 --> 00:49:42,360
Speaker 1: why were you filming me cheating on you? Oh my god.

914
00:49:42,440 --> 00:49:45,840
Speaker 2: I literally just saw this last night on The Perfect

915
00:49:45,920 --> 00:49:49,880
Speaker 2: Match on Netflix with Harry Drowsy. He like, the girl

916
00:49:49,960 --> 00:49:52,440
Speaker 2: was like, yeah, we made out. Uh he kissed me

917
00:49:52,480 --> 00:49:54,719
Speaker 2: three times and he goes, no, we didn't, why are

918
00:49:54,760 --> 00:49:58,920
Speaker 2: you making that up? Goes off on her, and then

919
00:49:58,960 --> 00:50:03,280
Speaker 2: there's a tweet a quote that you always see going around.

920
00:50:03,560 --> 00:50:07,880
Speaker 2: That's like, nothing makes a narcissist matter than being accused

921
00:50:08,080 --> 00:50:09,080
Speaker 2: of something they.

922
00:50:08,960 --> 00:50:13,239
Speaker 1: Did right right right right right right. Yeah, this is it.

923
00:50:13,400 --> 00:50:16,040
Speaker 1: This is it. So look, we got to give the

924
00:50:16,200 --> 00:50:18,719
Speaker 1: Deflector of the Year award out to a man in

925
00:50:18,760 --> 00:50:21,919
Speaker 1: the UK who is suing Apple because he was caught

926
00:50:21,960 --> 00:50:24,320
Speaker 1: cheating on his wife. So this dude was frequently hooking

927
00:50:24,400 --> 00:50:27,560
Speaker 1: up with sex workers, and you know, his wife did

928
00:50:27,600 --> 00:50:30,160
Speaker 1: not know until she looked at the I message app

929
00:50:30,200 --> 00:50:35,560
Speaker 1: on a shared family computer, and she discovered literal years

930
00:50:35,960 --> 00:50:39,920
Speaker 1: of receipts of her husband's infidelities. And he thought they

931
00:50:39,920 --> 00:50:44,200
Speaker 1: were deleted. He thought they were deleted. So it seems

932
00:50:44,200 --> 00:50:47,880
Speaker 1: that the man was deleting her honor. I hit delete

933
00:50:47,880 --> 00:50:48,600
Speaker 1: on my phone.

934
00:50:49,360 --> 00:50:52,240
Speaker 3: That is a secret patch between me and my phone

935
00:50:52,320 --> 00:50:54,600
Speaker 3: that those are deleted from the universe.

936
00:50:56,680 --> 00:50:59,279
Speaker 2: I made an error in my cheating game, and now

937
00:50:59,320 --> 00:51:01,080
Speaker 2: I will try to monetize it.

938
00:51:01,200 --> 00:51:03,840
Speaker 1: I will up my game, my honor, Please help me.

939
00:51:04,960 --> 00:51:07,560
Speaker 1: So it seems that the man was deleting the messages

940
00:51:07,600 --> 00:51:10,920
Speaker 1: on his phone, but because he wasn't using messages in iCloud,

941
00:51:11,160 --> 00:51:15,440
Speaker 1: the home computer had all the incriminating messages. So his

942
00:51:15,480 --> 00:51:20,200
Speaker 1: wife filed for divorce. What was his mistake limit, I'm

943
00:51:20,239 --> 00:51:21,640
Speaker 1: just you got to make sure all that shit's on.

944
00:51:21,800 --> 00:51:24,080
Speaker 1: If not, everything's on cloud, what you do one will

945
00:51:24,080 --> 00:51:27,759
Speaker 1: not happen to the other. To the yes, So she

946
00:51:27,840 --> 00:51:31,120
Speaker 1: filed for divorce. Now this man again, he's suing for

947
00:51:31,280 --> 00:51:35,799
Speaker 1: five million pounds sterling in damages from Apples for the

948
00:51:35,840 --> 00:51:39,040
Speaker 1: cost of legal fees, money lost in the divorce, and

949
00:51:39,239 --> 00:51:42,920
Speaker 1: emotional harm from it. He told The Times quote, if

950
00:51:42,920 --> 00:51:46,080
Speaker 1: you are told the message is deleted, you are entitled

951
00:51:46,120 --> 00:51:49,560
Speaker 1: to believe it's deleted. And he said he's had to

952
00:51:49,600 --> 00:51:53,480
Speaker 1: go on you know, anti anxiety medication to reduce his

953
00:51:53,600 --> 00:51:58,240
Speaker 1: panicked attacks that were brought on by his own infidelity.

954
00:51:58,920 --> 00:51:59,720
Speaker 1: What a bitch.

955
00:52:00,320 --> 00:52:03,520
Speaker 2: I hope Apple counter suits with like the hardest legal

956
00:52:03,600 --> 00:52:07,920
Speaker 2: team ever. I mean, oh my god, like, fuck you,

957
00:52:07,920 --> 00:52:08,560
Speaker 2: you loser.

958
00:52:08,800 --> 00:52:11,120
Speaker 3: But that would then make him have more panic attacks,

959
00:52:11,120 --> 00:52:13,359
Speaker 3: and he'd get to sue them again because.

960
00:52:13,040 --> 00:52:15,600
Speaker 1: We made Yeah, we made an emoji for cheaters and

961
00:52:15,640 --> 00:52:18,040
Speaker 1: it's your face and that's on every iPhone.

962
00:52:18,040 --> 00:52:21,960
Speaker 2: Now I can't believe I'm having a panic attack the

963
00:52:22,000 --> 00:52:26,600
Speaker 2: consequences of my own intentional behavior that went on for years.

964
00:52:26,680 --> 00:52:30,680
Speaker 1: That is fucked up and horrifying your honor. You should

965
00:52:30,719 --> 00:52:33,560
Speaker 1: not have to reap what you saw. I believe that

966
00:52:33,680 --> 00:52:37,000
Speaker 1: is a right of all human beings. His lawyers argue, quote,

967
00:52:37,040 --> 00:52:40,520
Speaker 1: this is so again, this is such a flimsy case. Quote.

968
00:52:40,760 --> 00:52:44,480
Speaker 1: In many cases, the iPhone informs the user that messages

969
00:52:44,560 --> 00:52:47,960
Speaker 1: have been deleted, but as we have seen, that isn't

970
00:52:48,000 --> 00:52:51,279
Speaker 1: true and is misleading because they are still found on

971
00:52:51,400 --> 00:52:56,080
Speaker 1: other linked devices, something Apple doesn't tell its users except

972
00:52:56,680 --> 00:53:01,160
Speaker 1: they do. Except all this is all support documents. If

973
00:53:01,160 --> 00:53:03,279
Speaker 1: you're interested in knowing how that all tells you, it's

974
00:53:03,320 --> 00:53:05,799
Speaker 1: all laid out there. You could have been honest. It's

975
00:53:05,800 --> 00:53:09,160
Speaker 1: because weird. It's like, essentially you're you're trying to argue

976
00:53:09,160 --> 00:53:11,480
Speaker 1: that you have the right to be deceptive.

977
00:53:12,120 --> 00:53:17,000
Speaker 2: Yeah, the goal to blame Apple for your like absolute

978
00:53:17,280 --> 00:53:20,840
Speaker 2: years of cheating and hiding on your wife.

979
00:53:21,360 --> 00:53:28,879
Speaker 1: Yeah, nobody told me I shouldn't do that. Okay, by

980
00:53:28,920 --> 00:53:31,880
Speaker 1: them doing that, I'm not able to lie to my wife.

981
00:53:31,960 --> 00:53:36,399
Speaker 1: So I'm suing for five million pounds. What I thought

982
00:53:36,400 --> 00:53:37,960
Speaker 1: you said five thousand. For a second, I was like

983
00:53:38,000 --> 00:53:43,360
Speaker 1: that's pretty low. No, five million, Jack, he's on beta

984
00:53:43,400 --> 00:53:47,279
Speaker 1: blockers because he can't handle again, the reaping of what

985
00:53:47,640 --> 00:53:48,960
Speaker 1: I like, I.

986
00:53:48,840 --> 00:53:52,360
Speaker 2: Hope he loses so bad and that anytime his Google

987
00:53:52,400 --> 00:53:54,920
Speaker 2: search is just ruined for the rest of his life.

988
00:53:55,080 --> 00:53:57,759
Speaker 2: I mean it's already like any sane woman who would

989
00:53:57,840 --> 00:54:03,840
Speaker 2: know that he's suing technology for his own actions, right hopefully.

990
00:54:03,520 --> 00:54:07,319
Speaker 1: Flay Yeah, yeah, yeah, it's tough.

991
00:54:08,000 --> 00:54:11,879
Speaker 3: He's a pretty mind blowing level of narcissism. It is

992
00:54:12,520 --> 00:54:14,799
Speaker 3: exactly what I would expect like Donald Trump to do,

993
00:54:15,080 --> 00:54:17,960
Speaker 3: you know, is like oh yeah, yeah, try and put

994
00:54:18,280 --> 00:54:21,040
Speaker 3: like we're gonna put We're gonna put Apple out of business.

995
00:54:21,440 --> 00:54:23,600
Speaker 2: It works so well for him though, Like no, I

996
00:54:23,600 --> 00:54:25,919
Speaker 2: mean I don't believe, like nothing takes him down every

997
00:54:25,960 --> 00:54:28,640
Speaker 2: time he gets like just suit or like.

998
00:54:28,840 --> 00:54:30,880
Speaker 1: Have you been paying attention to the news lately?

999
00:54:31,280 --> 00:54:31,440
Speaker 4: No?

1000
00:54:31,560 --> 00:54:33,799
Speaker 2: But I mean like every time I worked for him,

1001
00:54:33,840 --> 00:54:37,840
Speaker 2: he just goes no. Every time he gets oh yeah, no,

1002
00:54:38,360 --> 00:54:41,080
Speaker 2: like I know he got I know, he's like whatever,

1003
00:54:41,200 --> 00:54:44,000
Speaker 2: got charged for one thousand felonies or whatever. But like

1004
00:54:44,080 --> 00:54:46,440
Speaker 2: I still don't believe when if he ever got picked

1005
00:54:46,520 --> 00:54:49,560
Speaker 2: up for jail, like some reason, you would not make

1006
00:54:49,600 --> 00:54:52,279
Speaker 2: it in the jail. Like I just still there's like

1007
00:54:52,600 --> 00:54:54,560
Speaker 2: the man has seventy lives.

1008
00:54:54,600 --> 00:54:58,080
Speaker 1: I don't know means house arrests at the best, you know,

1009
00:54:58,280 --> 00:55:00,400
Speaker 1: like that's the best you could ever hope for. And

1010
00:55:00,440 --> 00:55:02,880
Speaker 1: maybe he can't use a computer, like that might be

1011
00:55:02,920 --> 00:55:05,080
Speaker 1: the best that people can fucking hope for. Like he

1012
00:55:05,160 --> 00:55:08,560
Speaker 1: buses a computer now, you know, or you know dating shit.

1013
00:55:08,760 --> 00:55:11,400
Speaker 2: Yeah, people around him are like, that's too much of

1014
00:55:11,440 --> 00:55:12,120
Speaker 2: a liability.

1015
00:55:12,239 --> 00:55:16,319
Speaker 1: Have you seen ren Fair yet? No? No, Because there's

1016
00:55:16,320 --> 00:55:19,200
Speaker 1: this this guy, this dude who runs it. He's so old,

1017
00:55:19,280 --> 00:55:21,600
Speaker 1: but he's like he wants to find like a partner.

1018
00:55:22,080 --> 00:55:25,160
Speaker 1: He has this younger dude in his twenties, like do

1019
00:55:25,280 --> 00:55:27,120
Speaker 1: all this stuff for him on the computer. Because this

1020
00:55:27,120 --> 00:55:29,239
Speaker 1: guy's in his like eighties. So he's like, how many

1021
00:55:29,320 --> 00:55:31,520
Speaker 1: dates do I have? Like he sits over this dude's

1022
00:55:31,520 --> 00:55:33,719
Speaker 1: shoulder as he goes on like okay, Cupid or like

1023
00:55:33,800 --> 00:55:36,560
Speaker 1: uses dating apps, And I feel like that's how Trump

1024
00:55:36,560 --> 00:55:39,239
Speaker 1: would be, like and okay, so then then say this,

1025
00:55:39,600 --> 00:55:42,440
Speaker 1: yeahs a funny like oh you got it, you got it?

1026
00:55:42,480 --> 00:55:45,160
Speaker 1: There you go. Okay, that's how he uses a computer. Problem.

1027
00:55:45,239 --> 00:55:47,040
Speaker 1: Now print the internet for me. I want to see

1028
00:55:47,040 --> 00:55:50,919
Speaker 1: what the Internet is saying. Yeah exactly, but yeah, poor guy,

1029
00:55:51,080 --> 00:55:54,600
Speaker 1: I don't think it's gonna happen. But you know you tried,

1030
00:55:54,760 --> 00:55:56,000
Speaker 1: you pull for him.

1031
00:55:56,239 --> 00:55:58,760
Speaker 2: It better not or I'm going to hire a legal

1032
00:55:58,800 --> 00:56:01,640
Speaker 2: team to dust his as Again.

1033
00:56:01,760 --> 00:56:03,840
Speaker 1: I'm not a lawyer, but I feel like it's always

1034
00:56:03,840 --> 00:56:08,560
Speaker 1: about proving like damages. So you're you're arguing, like I

1035
00:56:08,880 --> 00:56:10,960
Speaker 1: get like the flimsy part is like if you think

1036
00:56:10,960 --> 00:56:13,280
Speaker 1: something's deleted, you have the right to believe it's deleted.

1037
00:56:13,320 --> 00:56:15,800
Speaker 1: But like the way you're arriving there is to say

1038
00:56:16,080 --> 00:56:19,040
Speaker 1: I wasn't lying to my wife for years and now

1039
00:56:19,440 --> 00:56:21,360
Speaker 1: she knows about it, because yeah.

1040
00:56:21,160 --> 00:56:24,239
Speaker 2: What about her damages. I'm gonna still hate for being

1041
00:56:24,239 --> 00:56:25,839
Speaker 2: a bitch. That's what I'm gonna do.

1042
00:56:26,920 --> 00:56:30,200
Speaker 1: I'm not even the ex wife. Yeah, how old is

1043
00:56:30,239 --> 00:56:32,600
Speaker 1: this guy? By the way, do we know? I feel

1044
00:56:32,640 --> 00:56:37,200
Speaker 1: like I'm very protective of his identity? Is that by

1045
00:56:36,800 --> 00:56:40,040
Speaker 1: this is he? I'm a little confused by that.

1046
00:56:40,040 --> 00:56:42,479
Speaker 2: But it's like the Tinder swindler we find out.

1047
00:56:42,960 --> 00:56:46,600
Speaker 3: I feel like I associate like bloomers. I associate with

1048
00:56:46,719 --> 00:56:49,560
Speaker 3: like loving to have affairs. Maybe this is just mad

1049
00:56:49,600 --> 00:56:53,640
Speaker 3: men and also being like really bad at technology. So

1050
00:56:53,680 --> 00:56:56,160
Speaker 3: I'm like kind of surprised this doesn't just happen.

1051
00:56:55,920 --> 00:56:59,440
Speaker 2: Off the I could never have an affair for this reason.

1052
00:56:59,560 --> 00:57:03,120
Speaker 1: Honestly, right middle eight they say middle aged business man

1053
00:57:03,239 --> 00:57:04,839
Speaker 1: is how he's just that's the closest I can get

1054
00:57:04,840 --> 00:57:05,400
Speaker 1: to a description.

1055
00:57:06,000 --> 00:57:09,239
Speaker 2: They don't even put his name. He should have to

1056
00:57:09,280 --> 00:57:11,360
Speaker 2: have his name out there. What a bitch.

1057
00:57:11,920 --> 00:57:15,040
Speaker 3: The sex workers asked for an emergency contact, so I

1058
00:57:15,080 --> 00:57:18,919
Speaker 3: gave them my wife's number. She shouldn't have it, answered.

1059
00:57:20,560 --> 00:57:22,160
Speaker 1: That's so funny.

1060
00:57:23,400 --> 00:57:25,680
Speaker 3: I was just like trying to picture like Don Draper

1061
00:57:25,680 --> 00:57:27,640
Speaker 3: in the modern world, just like trying to keep all

1062
00:57:27,680 --> 00:57:28,520
Speaker 3: his affairs straight.

1063
00:57:28,600 --> 00:57:29,720
Speaker 1: He would fuck things up.

1064
00:57:29,640 --> 00:57:33,520
Speaker 2: Like really legally change his identity.

1065
00:57:33,120 --> 00:57:33,800
Speaker 5: Legally changes.

1066
00:57:34,160 --> 00:57:36,520
Speaker 3: Yeah, he would really be fucked in a lot of

1067
00:57:36,520 --> 00:57:38,040
Speaker 3: ways by modern technology.

1068
00:57:38,080 --> 00:57:39,680
Speaker 1: I feel like he would have a tough time.

1069
00:57:40,000 --> 00:57:45,200
Speaker 3: But don't look me up on Facebook.

1070
00:57:46,920 --> 00:57:49,240
Speaker 1: To think that that thing you're saying Blair about how

1071
00:57:49,280 --> 00:57:52,120
Speaker 1: like people still sort of look up to Trump like

1072
00:57:52,200 --> 00:57:55,360
Speaker 1: despite all this, like because I think you know, you like,

1073
00:57:55,400 --> 00:57:58,120
Speaker 1: when you're like stupid, you kind of need a celebrity

1074
00:57:58,160 --> 00:58:00,480
Speaker 1: to engage in the same dumb ship you dude, to

1075
00:58:00,520 --> 00:58:02,760
Speaker 1: make you feel like that ship is okay, you know

1076
00:58:02,800 --> 00:58:05,600
Speaker 1: what I mean? And so like with him being like that,

1077
00:58:05,600 --> 00:58:09,000
Speaker 1: that is like such it's so attractive to be like exactly, dude.

1078
00:58:09,040 --> 00:58:11,960
Speaker 1: What Yeah, exactly, dude.

1079
00:58:12,080 --> 00:58:16,080
Speaker 2: I didn't do anything wrong. I am morally absolved by

1080
00:58:16,120 --> 00:58:18,560
Speaker 2: all of your crimes than a leader.

1081
00:58:19,040 --> 00:58:22,320
Speaker 1: It has this like magnetic pull for people because you

1082
00:58:22,440 --> 00:58:25,200
Speaker 1: need sometimes you need somebody who's doing the same ship

1083
00:58:25,280 --> 00:58:27,760
Speaker 1: you're doing to be in an elevated position to make

1084
00:58:27,800 --> 00:58:31,560
Speaker 1: you be like to validate your I could be president

1085
00:58:31,600 --> 00:58:34,200
Speaker 1: baby yeah. Yeah, oh my god.

1086
00:58:34,680 --> 00:58:38,680
Speaker 3: Well, Blair Saki, what a pleasure as always having on

1087
00:58:38,880 --> 00:58:41,960
Speaker 3: the daily Zecheist. Where can people find you? Follow you

1088
00:58:42,080 --> 00:58:42,920
Speaker 3: all that good stuff?

1089
00:58:43,520 --> 00:58:45,400
Speaker 2: Can I just say I had the time of my

1090
00:58:45,480 --> 00:58:48,520
Speaker 2: life and I'm so grateful to be back with my brothers,

1091
00:58:49,120 --> 00:58:54,320
Speaker 2: my family, and ohso I love when the zeching come

1092
00:58:54,400 --> 00:58:56,840
Speaker 2: up to me. It shows. It makes me so happy

1093
00:58:57,080 --> 00:59:00,320
Speaker 2: and it's like such sweeties that come out. And I

1094
00:59:00,400 --> 00:59:02,880
Speaker 2: really appreciate your guys support that.

1095
00:59:03,840 --> 00:59:04,520
Speaker 1: Happy to hear it too.

1096
00:59:04,840 --> 00:59:09,000
Speaker 2: Yeah, it makes me keep doing. You are the best,

1097
00:59:09,280 --> 00:59:11,640
Speaker 2: the best in the world. You can find me as

1098
00:59:11,680 --> 00:59:14,640
Speaker 2: always on all socials at blairsacke B L A I,

1099
00:59:14,800 --> 00:59:17,720
Speaker 2: R S O C C I and all my tour

1100
00:59:17,840 --> 00:59:20,640
Speaker 2: dates are on blairsak dot com, as well as a

1101
00:59:20,680 --> 00:59:22,520
Speaker 2: link to my special which I would love for you

1102
00:59:22,560 --> 00:59:24,280
Speaker 2: guys to see if you have to check it out.

1103
00:59:24,840 --> 00:59:27,960
Speaker 2: My next date is Kansas City, July fifth to seventh.

1104
00:59:29,480 --> 00:59:32,560
Speaker 1: Is there a work of media that you've been enjoying

1105
00:59:32,760 --> 00:59:36,520
Speaker 1: besides you're on special just watching it every night, laughing uproariously.

1106
00:59:37,000 --> 00:59:38,280
Speaker 2: Can you imagine oh.

1107
00:59:38,880 --> 00:59:43,080
Speaker 7: Oh wow that one wronged?

1108
00:59:43,640 --> 00:59:43,760
Speaker 3: Now?

1109
00:59:43,880 --> 00:59:48,919
Speaker 2: This this this tweet really made me laugh. It's at

1110
00:59:49,000 --> 00:59:52,160
Speaker 2: Lingo Unbound and it was just a pick a photo

1111
00:59:52,200 --> 00:59:56,080
Speaker 2: of Brendan Frasier at a restaurant and he signed it,

1112
00:59:56,360 --> 00:59:59,080
Speaker 2: I like the steak. It was my favorite part I

1113
00:59:59,200 --> 01:00:06,919
Speaker 2: was in the Mummy and then and then one more

1114
01:00:07,040 --> 01:00:10,320
Speaker 2: just because it's a little pertinent today at Lake Show,

1115
01:00:10,360 --> 01:00:15,080
Speaker 2: Yo said Celtics fans haven't been this happy since January.

1116
01:00:14,760 --> 01:00:15,480
Speaker 1: Saying.

1117
01:00:17,280 --> 01:00:22,240
Speaker 3: Wow, I oh man, I really he just a joke,

1118
01:00:22,560 --> 01:00:25,760
Speaker 3: he he he. Fuck you guys in your happiness?

1119
01:00:27,520 --> 01:00:31,000
Speaker 1: Do they get them in now? They're not they're not

1120
01:00:31,040 --> 01:00:36,240
Speaker 1: paying attention. Amitt it Miles? Yeah, where can people find you?

1121
01:00:36,360 --> 01:00:40,160
Speaker 1: And is their working media? You been? Yeah at Miles

1122
01:00:40,200 --> 01:00:42,360
Speaker 1: of Gray. Wherever they got the ad symbols that's Twitter

1123
01:00:42,400 --> 01:00:44,360
Speaker 1: and Instagram and the like. Also, if you want to

1124
01:00:44,360 --> 01:00:48,440
Speaker 1: hear Jack and I fully cry about the Celtics, Uh,

1125
01:00:48,520 --> 01:00:51,880
Speaker 1: excuse me as I burp tears of or burps of sdness.

1126
01:00:52,080 --> 01:00:54,560
Speaker 1: That's how you that's how you cry. Bro. Yeah, yeah,

1127
01:00:54,560 --> 01:00:57,640
Speaker 1: it's it's more manly, dude. If it's a burp rather

1128
01:00:57,680 --> 01:01:00,200
Speaker 1: than tears streaming down my face, you can find us.

1129
01:01:00,200 --> 01:01:02,200
Speaker 1: I'm mouse Jack onmed Boosti's if you want to hear

1130
01:01:02,200 --> 01:01:04,600
Speaker 1: me talk about ninety day Fiance. That's on for twenty

1131
01:01:04,680 --> 01:01:08,280
Speaker 1: day Fiance. Uh So some tweets I like, man, there's

1132
01:01:08,320 --> 01:01:12,480
Speaker 1: a few. First one is this is from at Tommy Beer.

1133
01:01:12,520 --> 01:01:17,000
Speaker 1: It says Internet Undefeated. Somebody superimposed a clip of Luca

1134
01:01:17,560 --> 01:01:21,080
Speaker 1: holding the NBA Championship trophy, but it was from when

1135
01:01:21,120 --> 01:01:23,320
Speaker 1: they won the Western Conference finals when he was holding

1136
01:01:23,360 --> 01:01:25,440
Speaker 1: a beer in the tunnel with his dad and then

1137
01:01:25,480 --> 01:01:28,080
Speaker 1: Michael Finley takes it away on you that clip, So

1138
01:01:28,320 --> 01:01:31,360
Speaker 1: this is him. He's got the he's got the trophy.

1139
01:01:31,640 --> 01:01:34,480
Speaker 1: Here we go. Then they put a Celtic slover Michael

1140
01:01:34,520 --> 01:01:38,400
Speaker 1: Finley and he just took that shit away from Bye.

1141
01:01:39,600 --> 01:01:41,120
Speaker 1: Why do you take his Why do you take a

1142
01:01:41,160 --> 01:01:43,440
Speaker 1: beer away from I don't know, I don't I'm not

1143
01:01:43,480 --> 01:01:45,920
Speaker 1: sure what that was about, unless Michael Finley was like

1144
01:01:46,560 --> 01:01:48,280
Speaker 1: just needed that beer. He's like, let me have that

1145
01:01:48,360 --> 01:01:51,520
Speaker 1: man and then another one I like is from Bobby

1146
01:01:51,520 --> 01:01:54,720
Speaker 1: Wagner at be Wags. It's like that that construction where

1147
01:01:54,720 --> 01:01:57,680
Speaker 1: you have two different things, like two different text blocks,

1148
01:01:57,680 --> 01:02:00,880
Speaker 1: but with the handshaking emoji in the middle. Twenty twenty four,

1149
01:02:00,960 --> 01:02:04,000
Speaker 1: Boston Celtics the film Avatar from two thousand and nine,

1150
01:02:04,240 --> 01:02:08,280
Speaker 1: and the handshake is over statistically undeniable yet allegations of

1151
01:02:08,320 --> 01:02:09,440
Speaker 1: no cultural impact.

1152
01:02:09,920 --> 01:02:14,640
Speaker 3: I mean I was having that exact same thought, there'll

1153
01:02:14,680 --> 01:02:18,520
Speaker 3: be a big cultural impact in Boston, but I don't know.

1154
01:02:18,760 --> 01:02:19,160
Speaker 1: I don't know.

1155
01:02:19,480 --> 01:02:23,120
Speaker 3: Statistically though, undeniable, statistically undeniable.

1156
01:02:23,600 --> 01:02:28,040
Speaker 1: Yeah, it's fuck. It's It's called cognitive dissonance. Jack. I

1157
01:02:28,040 --> 01:02:31,160
Speaker 1: think that's the term for what we're experiencing. Tweet.

1158
01:02:31,160 --> 01:02:35,320
Speaker 3: I've been enjoying Sydney Battle tweeted. I love Topo Chico

1159
01:02:35,400 --> 01:02:38,080
Speaker 3: because it's like what if water fought you when you

1160
01:02:38,160 --> 01:02:39,040
Speaker 3: tried to drink it.

1161
01:02:40,160 --> 01:02:43,120
Speaker 2: She's so funny. I love her Twitter. She has a

1162
01:02:43,160 --> 01:02:43,760
Speaker 2: great Twitter.

1163
01:02:44,160 --> 01:02:47,880
Speaker 3: You can find me on Twitter at Jack Underscore O'Brien.

1164
01:02:47,920 --> 01:02:50,440
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

1165
01:02:50,440 --> 01:02:51,680
Speaker 1: at the Daily Zeitgeist.

1166
01:02:51,720 --> 01:02:53,760
Speaker 3: On Instagram, we have a Facebook fan page. On a

1167
01:02:53,800 --> 01:02:56,880
Speaker 3: website Daily zeitgeist dot com, where we post our episode

1168
01:02:57,040 --> 01:02:59,760
Speaker 3: and our footnotes, where we look off to the information

1169
01:03:00,000 --> 01:03:02,360
Speaker 3: we talked about in today's episode, as well as a

1170
01:03:02,360 --> 01:03:06,120
Speaker 3: song and we think you might enjoy, Miles, what song

1171
01:03:06,240 --> 01:03:08,160
Speaker 3: do you think people might enjoy?

1172
01:03:08,400 --> 01:03:11,960
Speaker 1: My favorite band, Hiatus Coyote. As we get closer to

1173
01:03:12,000 --> 01:03:15,000
Speaker 1: their new album, they've just been dribbling out little tracks

1174
01:03:15,040 --> 01:03:17,919
Speaker 1: for us to enjoy, and they just dropped another one

1175
01:03:17,960 --> 01:03:22,000
Speaker 1: on us yesterday. It's called Cinnamon Temple and it's just

1176
01:03:22,040 --> 01:03:24,120
Speaker 1: like a really it's a little bit more like gritty

1177
01:03:24,240 --> 01:03:26,800
Speaker 1: distortion guitars, so it's a little bit different than they're

1178
01:03:26,800 --> 01:03:29,440
Speaker 1: like jazzy stuff. But also there's just again, it's amazing.

1179
01:03:29,600 --> 01:03:33,480
Speaker 1: This is Cinnamon Temple by Hya. This kind sounds like

1180
01:03:33,480 --> 01:03:36,520
Speaker 1: a good ice cream flavor or something, yeah, or.

1181
01:03:36,600 --> 01:03:38,560
Speaker 3: Like incense, incense.

1182
01:03:38,560 --> 01:03:40,480
Speaker 1: Or that sounds like what like a dude who like

1183
01:03:40,680 --> 01:03:46,160
Speaker 1: drinks way too much fireball like calls his house temple.

1184
01:03:46,520 --> 01:03:49,720
Speaker 1: Uh no, sorry, all right.

1185
01:03:50,080 --> 01:03:52,280
Speaker 3: We link off to Cinnamon Temple in the footnotes. The

1186
01:03:52,320 --> 01:03:54,600
Speaker 3: Daily that Guys is a production of iHeartRadio. For more

1187
01:03:54,640 --> 01:03:57,440
Speaker 3: podcasts from my Heart Radio, visit the iHeartRadio app, Apple

1188
01:03:57,440 --> 01:03:59,680
Speaker 3: podcast or wherever you listen to your favorite shows, that

1189
01:03:59,800 --> 01:04:02,640
Speaker 3: is gonna do it for us this morning. We are

1190
01:04:02,920 --> 01:04:05,120
Speaker 3: back this afternoon to tell you what is trending, and

1191
01:04:05,120 --> 01:04:10,880
Speaker 3: we will talk to y'all then. Bye bye bye