1
00:00:00,280 --> 00:00:03,400
Speaker 1: Hello the Internet, and welcome to Season one, seventy nine,

2
00:00:03,440 --> 00:00:06,680
Speaker 1: Episode two of The Daily Night Guys, the production of

3
00:00:06,760 --> 00:00:09,600
Speaker 1: I Heart Radio. This is a podcast where we take

4
00:00:09,600 --> 00:00:13,840
Speaker 1: a deep dive into America's share consciousness. Is Tuesday, April

5
00:00:14,000 --> 00:00:18,400
Speaker 1: six one. My name is Jack O'Brien a K. We

6
00:00:18,880 --> 00:00:24,319
Speaker 1: use spring break just like Trump Rally, oh, COVID and

7
00:00:24,400 --> 00:00:29,800
Speaker 1: bloody cult source. I don't care what the CDC says

8
00:00:29,840 --> 00:00:34,760
Speaker 1: to me. I don't care about that. Uh. That's courtesy

9
00:00:34,800 --> 00:00:39,680
Speaker 1: of J Music Chicago. Very appropriate for how I spent

10
00:00:39,800 --> 00:00:43,559
Speaker 1: my last week off on spring break, just spring breaking it,

11
00:00:43,680 --> 00:00:47,520
Speaker 1: getting down in the in the streets of Miami, stop

12
00:00:47,560 --> 00:00:55,040
Speaker 1: by my friend Paul Pierce's house for a little Yeah. Yeah. Anyways,

13
00:00:55,440 --> 00:00:57,760
Speaker 1: I'm thrilled to be joined as always buy my co

14
00:00:57,880 --> 00:01:03,360
Speaker 1: host Mr Miles, because I'm benching all day. No Netflix

15
00:01:03,720 --> 00:01:07,200
Speaker 1: cold brew in the office. That's a weakness. Early, I'll say,

16
00:01:07,400 --> 00:01:10,120
Speaker 1: d made my peace with it. Got a route team,

17
00:01:10,120 --> 00:01:13,040
Speaker 1: but it's on some street ship. I'm gonna show you

18
00:01:13,040 --> 00:01:16,600
Speaker 1: how to get it. Equal press rick or sit up right,

19
00:01:17,000 --> 00:01:20,880
Speaker 1: open up the dock, sit up right. Basically, I'm saying,

20
00:01:21,200 --> 00:01:24,240
Speaker 1: either way, we're sitting up right. Hey, we're sitting up right?

21
00:01:24,600 --> 00:01:28,840
Speaker 1: Do you want back prolo? Okay anyway, shout out to

22
00:01:29,400 --> 00:01:33,640
Speaker 1: shut Miller for that two see slide. Uh a, K.

23
00:01:34,160 --> 00:01:36,320
Speaker 1: Do you know I just had to stroke a little

24
00:01:36,319 --> 00:01:38,520
Speaker 1: bit through it, you know, yeah, because I'm in the

25
00:01:38,720 --> 00:01:41,440
Speaker 1: I'm back into the seat next to the great Jack.

26
00:01:41,959 --> 00:01:44,440
Speaker 1: One of the one thing that they cannot say about

27
00:01:44,480 --> 00:01:47,400
Speaker 1: us is that we are not sitting upright. No, as

28
00:01:47,480 --> 00:01:49,480
Speaker 1: much as I thought at some point I would be

29
00:01:49,480 --> 00:01:51,720
Speaker 1: a laying down podcast, I just don't know how. When

30
00:01:51,760 --> 00:01:54,240
Speaker 1: I see clips of that, it gives me anxiety. I'm like,

31
00:01:54,280 --> 00:01:56,120
Speaker 1: are you that checked out? Or like you're just that

32
00:01:56,160 --> 00:02:00,920
Speaker 1: good at pok Yeah. I've had meetings with usually like

33
00:02:01,040 --> 00:02:04,360
Speaker 1: agents who are like laying down, just trying. It's as

34
00:02:04,720 --> 00:02:06,920
Speaker 1: like if you're like on FaceTime with like a college

35
00:02:06,920 --> 00:02:13,359
Speaker 1: basketball player you're dating. Yeah, yeah, yeah, I'm gonna send

36
00:02:13,440 --> 00:02:17,560
Speaker 1: some red lines back on those deal points, you know, like, Okay,

37
00:02:16,960 --> 00:02:21,880
Speaker 1: you look relaxed. Uh. Did you see Clay Thompson's during

38
00:02:21,919 --> 00:02:25,240
Speaker 1: the Golden State game? You know, I posted a clip

39
00:02:25,320 --> 00:02:27,360
Speaker 1: that I just like had to take a video of

40
00:02:28,240 --> 00:02:33,760
Speaker 1: the Dvard clip of Clay Thompson. He was the coziest,

41
00:02:34,400 --> 00:02:37,840
Speaker 1: like falling asleep on the bench. I look at it

42
00:02:40,160 --> 00:02:43,400
Speaker 1: looks like me in a lecture and call. It's like

43
00:02:43,440 --> 00:02:48,320
Speaker 1: I've never identified more with somebody. He was just right

44
00:02:48,400 --> 00:02:54,600
Speaker 1: on that edge of consciousness falling asleep professional sports competition.

45
00:02:54,720 --> 00:02:57,200
Speaker 1: Hasn't played basketball, I know, but that just shows you,

46
00:02:57,320 --> 00:03:01,600
Speaker 1: like the levels of where he's at, like he exhausted,

47
00:03:01,240 --> 00:03:04,839
Speaker 1: he wants to be out there, he cannot and he's

48
00:03:04,880 --> 00:03:07,079
Speaker 1: probably who knows how he's sleeping, so at a certain point,

49
00:03:07,160 --> 00:03:09,480
Speaker 1: like I have nothing to gain from looking at this

50
00:03:09,600 --> 00:03:14,760
Speaker 1: except to sleep. Yeah. Anyways, Miles, great to see you,

51
00:03:14,760 --> 00:03:18,240
Speaker 1: a great great to talk to you again. Uh And

52
00:03:18,400 --> 00:03:21,880
Speaker 1: speaking of great to talk to we are thrilled to

53
00:03:21,919 --> 00:03:25,320
Speaker 1: be joined in our third seat by the hilarious, the

54
00:03:25,520 --> 00:03:31,480
Speaker 1: talented Peter Boniface. Thank you, thank you for having me.

55
00:03:31,720 --> 00:03:33,720
Speaker 1: Thank you so much. It's great to be here. It's

56
00:03:33,720 --> 00:03:37,760
Speaker 1: great to have you. Yes, I think the you now

57
00:03:37,840 --> 00:03:41,720
Speaker 1: hold the record or at least top three for the

58
00:03:41,840 --> 00:03:46,160
Speaker 1: longest most in depth l a conversation that we've had

59
00:03:46,280 --> 00:03:51,160
Speaker 1: prior to recording. Miles. When you grow when you grow

60
00:03:51,240 --> 00:03:52,920
Speaker 1: up in the valley, you know there's a lot to

61
00:03:52,960 --> 00:03:58,840
Speaker 1: talk about. Listen was flowing and we have let it

62
00:03:58,960 --> 00:04:02,080
Speaker 1: keep flowing. Yeah, we're number one or top three? You

63
00:04:02,160 --> 00:04:05,480
Speaker 1: said what either number one or top three? It was?

64
00:04:06,000 --> 00:04:08,440
Speaker 1: I would say I was taking notes over here. I'm

65
00:04:08,440 --> 00:04:13,640
Speaker 1: gonna put out a I'm right now Calabasas comments research

66
00:04:13,760 --> 00:04:16,800
Speaker 1: that what is El Camino High School? Okay? Could you?

67
00:04:16,920 --> 00:04:18,200
Speaker 1: Could you let me know as soon if you guys

68
00:04:18,200 --> 00:04:22,360
Speaker 1: find out which? Yeah, this is an important point. I

69
00:04:22,400 --> 00:04:24,599
Speaker 1: think this was probably the top one because other people

70
00:04:24,600 --> 00:04:26,520
Speaker 1: are when they come on and I know they're from

71
00:04:26,520 --> 00:04:28,560
Speaker 1: the v I already know. And this was sort of

72
00:04:28,560 --> 00:04:31,400
Speaker 1: like where'd you go? What? And you, I'm from New

73
00:04:31,480 --> 00:04:34,000
Speaker 1: Thought you what? So that was one where we were

74
00:04:34,000 --> 00:04:36,000
Speaker 1: two value people working out for that. I give it

75
00:04:36,080 --> 00:04:39,880
Speaker 1: the goat value conversation. Yeah, I think it was. Oh man, Yeah,

76
00:04:39,920 --> 00:04:41,880
Speaker 1: I think it was because you immediately picked it up.

77
00:04:42,000 --> 00:04:44,280
Speaker 1: You you you started asking all the right questions right

78
00:04:44,320 --> 00:04:48,400
Speaker 1: away and and yeah, and I thought you got to

79
00:04:48,440 --> 00:04:50,039
Speaker 1: the core of me really quick. I could feel you know,

80
00:04:50,080 --> 00:04:52,200
Speaker 1: you could feel it, you know, beautiful thing to be

81
00:04:52,440 --> 00:04:56,360
Speaker 1: value vibes, valy vibes. Alright, Peter, we're going to get

82
00:04:56,400 --> 00:04:58,760
Speaker 1: to know you a little bit better in a moment. First,

83
00:04:58,800 --> 00:05:00,880
Speaker 1: we're gonna tell our listeners just a couple of the

84
00:05:01,000 --> 00:05:05,960
Speaker 1: things that we're talking about. We are talking about. Uh.

85
00:05:06,000 --> 00:05:11,119
Speaker 1: These Florida gop stars are are crushing it this week

86
00:05:11,839 --> 00:05:15,200
Speaker 1: over the past week. We're gonna talk about de Santis.

87
00:05:15,839 --> 00:05:19,240
Speaker 1: We're gonna talk about a universal tax that Janet Yellen

88
00:05:19,400 --> 00:05:25,919
Speaker 1: is proposing. We're gonna talk about corporations having to be

89
00:05:26,120 --> 00:05:29,640
Speaker 1: the voice of reason when it comes to voter suppression. Uh,

90
00:05:29,680 --> 00:05:33,159
Speaker 1: we'll talk about a wild ass Disney Dad who was

91
00:05:33,960 --> 00:05:38,640
Speaker 1: unable to deal with the new reality of where we live.

92
00:05:39,040 --> 00:05:41,120
Speaker 1: We got so much to talk about. But first, Peter,

93
00:05:41,240 --> 00:05:44,719
Speaker 1: we like to ask our guests, what is something from

94
00:05:44,760 --> 00:05:47,480
Speaker 1: your search history that is revealing about who you are?

95
00:05:47,839 --> 00:05:51,240
Speaker 1: Let's see some from my search of history. Be honest.

96
00:05:51,279 --> 00:05:54,680
Speaker 1: The last thing from my search history was I was

97
00:05:55,720 --> 00:06:01,719
Speaker 1: researching the tax program for H and R block to

98
00:06:01,839 --> 00:06:05,520
Speaker 1: do my taxes because I have to do uh, my

99
00:06:05,760 --> 00:06:11,000
Speaker 1: escort taxes and so it's really the most boring thing

100
00:06:11,120 --> 00:06:14,080
Speaker 1: you could possibly think of. But it's the first time

101
00:06:14,120 --> 00:06:17,440
Speaker 1: I would have googled something like that in an entire

102
00:06:17,600 --> 00:06:23,920
Speaker 1: maybe year. Um. Yeah, block block has their own software,

103
00:06:24,279 --> 00:06:28,520
Speaker 1: Asian R block has their own online software, and uh

104
00:06:28,640 --> 00:06:31,000
Speaker 1: I tried to use it, and no disrespect to h

105
00:06:31,200 --> 00:06:35,760
Speaker 1: R Block, but it was incredibly non user friendly and

106
00:06:35,880 --> 00:06:39,680
Speaker 1: I had to give up. Yeah, so yeah, Uncle Sam,

107
00:06:39,720 --> 00:06:42,480
Speaker 1: we'll have to wait on that check, you know, Uncle Uncle.

108
00:06:42,640 --> 00:06:45,680
Speaker 1: Well I got an extension luckily, so Uncle Sam knows

109
00:06:45,760 --> 00:06:50,200
Speaker 1: that I'm gonna but it's uh not to just for

110
00:06:50,440 --> 00:06:52,640
Speaker 1: you with this, but it's basically, I like file the

111
00:06:52,680 --> 00:06:55,320
Speaker 1: wrong form a couple of years ago, and I have

112
00:06:55,440 --> 00:06:57,880
Speaker 1: to refile that form from a couple of years ago.

113
00:06:57,960 --> 00:07:02,240
Speaker 1: So it's like, it's oh, incredibly frustrating. I know. That's

114
00:07:02,240 --> 00:07:04,960
Speaker 1: why I'm like, I'm dealing. I gotta go back to

115
00:07:05,040 --> 00:07:09,000
Speaker 1: a tax person and do some from like one weird

116
00:07:09,120 --> 00:07:11,720
Speaker 1: thing that I'm like, oh my god, what the fuck?

117
00:07:12,080 --> 00:07:14,720
Speaker 1: Why why can't we build Other countries Yeah, yeah, Other

118
00:07:14,720 --> 00:07:16,880
Speaker 1: countries just have a form you fill out. They just

119
00:07:16,920 --> 00:07:20,559
Speaker 1: serve you. Yeah, they're like here, here's what you owe,

120
00:07:20,920 --> 00:07:24,920
Speaker 1: pay it and we're done here. And the US, because

121
00:07:25,480 --> 00:07:29,120
Speaker 1: of companies like h H and R Block lobbying, uh,

122
00:07:29,160 --> 00:07:32,600
Speaker 1: they just keep ship real complicated. Like other countries are

123
00:07:32,640 --> 00:07:35,200
Speaker 1: just like wait, what wait, there's a tax, but you

124
00:07:35,240 --> 00:07:37,640
Speaker 1: don't get the letter from the government that's already done

125
00:07:37,720 --> 00:07:40,040
Speaker 1: because they know what you make. They're the government they

126
00:07:40,080 --> 00:07:42,720
Speaker 1: have all of that. They wait, so they ask you

127
00:07:43,080 --> 00:07:46,240
Speaker 1: to come up with information to verify you've also personally

128
00:07:46,240 --> 00:07:48,920
Speaker 1: recorded the information that they already have on file on you.

129
00:07:50,200 --> 00:07:53,400
Speaker 1: Anytime you need an expert to be able to like

130
00:07:53,520 --> 00:07:56,480
Speaker 1: decipher things like that, it's it's yeah, it's like you

131
00:07:56,600 --> 00:07:59,080
Speaker 1: gotta pay the taxes, but you also got to put

132
00:07:59,120 --> 00:08:01,160
Speaker 1: the whole thing to yeah there, and it has to

133
00:08:01,200 --> 00:08:04,000
Speaker 1: be at your own cost. And even when you like

134
00:08:04,120 --> 00:08:07,800
Speaker 1: ask your friend who's really smart who went to law school,

135
00:08:08,040 --> 00:08:11,160
Speaker 1: they're like, look, I'm no tax attorney here. It's like

136
00:08:13,720 --> 00:08:17,760
Speaker 1: you're a human rights lawyer. You're like, look, that's unfortunately,

137
00:08:17,840 --> 00:08:22,120
Speaker 1: that's easier than tax, easier, way simpler, human rights, the

138
00:08:22,200 --> 00:08:26,559
Speaker 1: concept of human rights, right, it's way easier there. Huh, Peter,

139
00:08:26,640 --> 00:08:31,440
Speaker 1: what is something you think is overrated? Ah? Man's ula.

140
00:08:31,800 --> 00:08:35,600
Speaker 1: I don't I don't understand it. When I was growing up,

141
00:08:35,640 --> 00:08:38,880
Speaker 1: nobody was eating arugala. Now it's suddenly this huge part

142
00:08:38,920 --> 00:08:43,400
Speaker 1: of society everywhere you go everything, Like I a while back,

143
00:08:43,440 --> 00:08:45,400
Speaker 1: so it was telling me about like a rugala pizza

144
00:08:45,559 --> 00:08:49,679
Speaker 1: and it was like basically like dough arugla and like

145
00:08:50,640 --> 00:08:52,880
Speaker 1: some like cheese or like a white sauce or something

146
00:08:53,000 --> 00:08:55,920
Speaker 1: was like a pizza based on a rugla. I just

147
00:08:56,640 --> 00:08:59,600
Speaker 1: I don't want it. I don't like it. I won't

148
00:08:59,600 --> 00:09:02,559
Speaker 1: do it. I love vegetables, I love earths, but something

149
00:09:02,600 --> 00:09:06,120
Speaker 1: about rugala just it honestly kind of makes me feel nauseous.

150
00:09:06,240 --> 00:09:11,840
Speaker 1: It's definitely that's how Yeah, that's howe or rocket as

151
00:09:11,840 --> 00:09:14,720
Speaker 1: it's known in other parts of the world. I remember

152
00:09:14,760 --> 00:09:18,520
Speaker 1: eating it, like it's funny when it's peppery. I love

153
00:09:18,559 --> 00:09:21,960
Speaker 1: it when you get like some lukewarm or rugle, I'm like, yeah,

154
00:09:22,679 --> 00:09:25,680
Speaker 1: but yeah, on pizza, I don't like leafy greens on

155
00:09:25,720 --> 00:09:27,480
Speaker 1: a pizza like I get. I've had ones where it

156
00:09:27,480 --> 00:09:29,679
Speaker 1: will be like a little presciutto or something, and a

157
00:09:29,720 --> 00:09:32,240
Speaker 1: couple they'll they'll hit you with a couple of loose

158
00:09:32,760 --> 00:09:36,080
Speaker 1: rugala leaves. But when something is inundated with like leafy

159
00:09:36,120 --> 00:09:39,400
Speaker 1: greens on an actual pizza, like salad pizza, like I

160
00:09:39,400 --> 00:09:42,120
Speaker 1: can't that's what it was like. It was like a

161
00:09:42,120 --> 00:09:46,040
Speaker 1: salad pizza, but with the rugala. Also, it's like if arugala,

162
00:09:46,080 --> 00:09:48,120
Speaker 1: if it's just a rugal in there, is it really

163
00:09:48,160 --> 00:09:52,240
Speaker 1: a salad? Wouldn't it just be rugla a side of

164
00:09:52,240 --> 00:09:54,320
Speaker 1: a rugala salad, But then the only thing that's in

165
00:09:54,360 --> 00:09:56,520
Speaker 1: it is arugula and dressing. Well, it's like, well, that's

166
00:09:56,520 --> 00:09:59,920
Speaker 1: the side of a ruga that's not that's not salad.

167
00:10:00,320 --> 00:10:02,920
Speaker 1: How many more? How many more ingredients to cross into

168
00:10:02,960 --> 00:10:05,720
Speaker 1: the salt across this? I think at least at least

169
00:10:05,720 --> 00:10:09,360
Speaker 1: one more? Yeah, I think at least one side of

170
00:10:09,600 --> 00:10:15,040
Speaker 1: mash potatoes salad. Uh. When you put some scoop of

171
00:10:15,040 --> 00:10:17,520
Speaker 1: mash potatoes on my arugula to really make it a salad,

172
00:10:20,040 --> 00:10:24,520
Speaker 1: that's a casserole salad right now, what castles egg in it? Right?

173
00:10:24,679 --> 00:10:30,760
Speaker 1: Or cheese in or something like that? Right, it's the dish,

174
00:10:30,800 --> 00:10:32,800
Speaker 1: because I'm sure could do a vegan version. But yeah,

175
00:10:32,840 --> 00:10:34,960
Speaker 1: Like I feel like if you're doing a one one

176
00:10:35,080 --> 00:10:38,040
Speaker 1: pan type thing that falls into that's you're starting to

177
00:10:38,080 --> 00:10:40,839
Speaker 1: flirt with casserole culture. I feel like you also need

178
00:10:40,880 --> 00:10:43,480
Speaker 1: to to have a true cast role. And this probably

179
00:10:43,520 --> 00:10:45,160
Speaker 1: isn't part of the definition, but you have to have

180
00:10:45,240 --> 00:10:48,600
Speaker 1: some sort of cream of something soup that is like

181
00:10:48,640 --> 00:10:52,640
Speaker 1: a bass layer ingredient that's based off of Campbell's putting

182
00:10:52,679 --> 00:10:58,960
Speaker 1: it into American brains. If you don't have soup that's

183
00:10:59,160 --> 00:11:02,440
Speaker 1: classic concerned. I'm sort of taking over our lives. Yeah,

184
00:11:02,600 --> 00:11:05,520
Speaker 1: and now likeitually, like I have cremal mushroom soup in

185
00:11:05,600 --> 00:11:07,680
Speaker 1: my house because I grew up seeing my friend's mom

186
00:11:07,880 --> 00:11:10,160
Speaker 1: like make a cast role like I've never seen before,

187
00:11:10,160 --> 00:11:13,320
Speaker 1: and I'm like, oh, that's the ticket that white gou

188
00:11:13,520 --> 00:11:16,319
Speaker 1: in the can, right. All you need is water and

189
00:11:16,400 --> 00:11:19,719
Speaker 1: heat and then you got a meal. I grew up

190
00:11:19,880 --> 00:11:23,960
Speaker 1: thinking that chicken casadillas were this recipe that my mom

191
00:11:24,040 --> 00:11:28,280
Speaker 1: made that was just layers of tortillas with cream of chicken,

192
00:11:28,360 --> 00:11:32,320
Speaker 1: soup and cheese like scattered throughout. I was like, wait,

193
00:11:32,480 --> 00:11:34,840
Speaker 1: like a cast role. Like it was like a cast role.

194
00:11:34,880 --> 00:11:38,080
Speaker 1: It was like a case a casse role. Uh whoa,

195
00:11:38,840 --> 00:11:43,720
Speaker 1: Yeah it was. It's really good, but it's definitely the

196
00:11:43,760 --> 00:11:51,960
Speaker 1: most American Midwestern white I love interpretation. I love that

197
00:11:52,080 --> 00:11:57,280
Speaker 1: kind of aggressive just distillation, offensive distillation of other cuisine

198
00:11:57,280 --> 00:11:59,880
Speaker 1: into like this American version. I'm not here the same

199
00:12:00,000 --> 00:12:03,160
Speaker 1: eight Peter. Because you be in Persian growing up in

200
00:12:03,320 --> 00:12:06,800
Speaker 1: like like America, seeing food at your home that's different

201
00:12:06,800 --> 00:12:09,360
Speaker 1: than maybe what other kids were eating, did you like

202
00:12:09,559 --> 00:12:13,000
Speaker 1: venture out into like the just gnarliest American food because

203
00:12:13,040 --> 00:12:16,040
Speaker 1: you didn't have it at home. Oh definitely, because like

204
00:12:16,400 --> 00:12:19,360
Speaker 1: once I started eating American food and or just sort

205
00:12:19,360 --> 00:12:21,960
Speaker 1: of like Western food quote unquote, when I left Iran,

206
00:12:22,559 --> 00:12:25,360
Speaker 1: I was like, man, our food sucks compared to this,

207
00:12:25,559 --> 00:12:30,720
Speaker 1: Like I want pizza, I want burgers. It's it's not

208
00:12:30,760 --> 00:12:33,400
Speaker 1: like I hadn't had like those things in Iron, but

209
00:12:33,440 --> 00:12:36,040
Speaker 1: when you come and have them at like McDonald's and

210
00:12:36,160 --> 00:12:38,360
Speaker 1: you know, put those kind of places, it really rocks

211
00:12:38,360 --> 00:12:40,880
Speaker 1: your world effort, especially when you're a kid. I didn't

212
00:12:40,880 --> 00:12:44,760
Speaker 1: want to eat like or like I mean, I didn't

213
00:12:44,760 --> 00:12:48,480
Speaker 1: want to eat our like celery and beef stew or whatever.

214
00:12:48,520 --> 00:12:51,079
Speaker 1: I didn't want to like like um, I didn't want

215
00:12:51,080 --> 00:12:54,240
Speaker 1: to eat our pomegrant stew like I didn't want need

216
00:12:54,280 --> 00:12:57,679
Speaker 1: any of that ship um I. And also for some reason,

217
00:12:57,720 --> 00:12:59,360
Speaker 1: ever since I was a kid, I was a really

218
00:12:59,400 --> 00:13:03,000
Speaker 1: picky eat um. I think I get it from my mom,

219
00:13:03,200 --> 00:13:07,360
Speaker 1: Like I just other kids pretty much eat whatever their

220
00:13:07,360 --> 00:13:10,840
Speaker 1: parents like gave them, Like I was just it was

221
00:13:11,000 --> 00:13:14,359
Speaker 1: very specific like I just I guess the more authentic

222
00:13:14,440 --> 00:13:18,600
Speaker 1: the food is, the least like the less I like it. Yeah,

223
00:13:20,440 --> 00:13:24,760
Speaker 1: it's a stacked deck because like America is sending all

224
00:13:24,960 --> 00:13:31,880
Speaker 1: it's like best scientists and nutritionists to like massive corporations

225
00:13:31,920 --> 00:13:35,640
Speaker 1: where they're just like trying to distill chemicals to make

226
00:13:35,720 --> 00:13:39,800
Speaker 1: something delicious, like without any regard for you know, how

227
00:13:39,880 --> 00:13:43,160
Speaker 1: how good it is for you or any of those things.

228
00:13:43,160 --> 00:13:45,920
Speaker 1: So it's I I think about this lot because I've

229
00:13:45,960 --> 00:13:49,640
Speaker 1: got trying to build healthy eating habits and a three

230
00:13:49,720 --> 00:13:51,719
Speaker 1: year old and a four year old, and it's like

231
00:13:52,559 --> 00:13:55,160
Speaker 1: you find yourself being like eat the hot dog, and

232
00:13:55,240 --> 00:14:00,880
Speaker 1: it's like, why am I Why am I having this conversation? Yeah,

233
00:14:01,160 --> 00:14:05,599
Speaker 1: probably the ease of it. Yeah, easier to get the

234
00:14:05,679 --> 00:14:10,440
Speaker 1: kid to eat a salt log. Come on, take a

235
00:14:10,480 --> 00:14:14,640
Speaker 1: bite of your salt log. What is something you think

236
00:14:14,720 --> 00:14:19,440
Speaker 1: is underrated? I think even though people talk about it,

237
00:14:19,960 --> 00:14:23,160
Speaker 1: they don't talk about it enough. I think the show

238
00:14:23,440 --> 00:14:27,680
Speaker 1: Golden Girls, it is truly one of the greatest sitcoms

239
00:14:28,120 --> 00:14:34,120
Speaker 1: in the history of television. And I think, honestly, like

240
00:14:34,280 --> 00:14:36,880
Speaker 1: it's kind of like it has a special place in

241
00:14:36,920 --> 00:14:38,960
Speaker 1: my heart because I always watched it with my grandma

242
00:14:39,000 --> 00:14:40,800
Speaker 1: growing up, and I watched it with my mom and like,

243
00:14:41,280 --> 00:14:43,000
Speaker 1: and I still watch it with my mom, and it's

244
00:14:43,040 --> 00:14:44,880
Speaker 1: kind of just like one of those shows you watch

245
00:14:45,040 --> 00:14:47,200
Speaker 1: if you have like It's like a show I would

246
00:14:47,240 --> 00:14:49,120
Speaker 1: watch like when the pandemic first hit and I was

247
00:14:49,160 --> 00:14:51,800
Speaker 1: anxious as ship, and it's like it just makes you

248
00:14:51,840 --> 00:14:55,560
Speaker 1: feel good. It's just like home cooked food. But it's

249
00:14:55,600 --> 00:14:58,320
Speaker 1: really fucking funny. And it was very ahead of its time,

250
00:14:58,800 --> 00:15:01,280
Speaker 1: and it only had seventh seasons, but it became like

251
00:15:01,320 --> 00:15:05,240
Speaker 1: a legendary show. But because it's about like four old

252
00:15:05,240 --> 00:15:08,840
Speaker 1: white women, I think people now kind of like dismiss it,

253
00:15:09,200 --> 00:15:11,000
Speaker 1: but if they actually gave it a chance, they say, oh,

254
00:15:11,080 --> 00:15:14,080
Speaker 1: it was pretty woke for its time. Like they still

255
00:15:14,200 --> 00:15:17,160
Speaker 1: you know, they still have their little like you know,

256
00:15:17,240 --> 00:15:20,520
Speaker 1: moments through like huh, okay, we're we're luckily as a

257
00:15:20,520 --> 00:15:24,160
Speaker 1: society way past that. But like, it's a really funny show.

258
00:15:24,400 --> 00:15:26,520
Speaker 1: And if you're listening out there and if you're talking

259
00:15:26,760 --> 00:15:30,600
Speaker 1: about that show, shame on you Watch the show, Watch

260
00:15:30,680 --> 00:15:34,280
Speaker 1: the show, and then contact me and say thank you, Peter,

261
00:15:34,320 --> 00:15:36,640
Speaker 1: because this show is fantastic. Say it to my face.

262
00:15:36,720 --> 00:15:39,360
Speaker 1: If you're out there talking shit about Golden Girls, come

263
00:15:39,440 --> 00:15:45,600
Speaker 1: say you want to say something about it. Still getty? Yeah? Uh.

264
00:15:46,280 --> 00:15:49,800
Speaker 1: Mitchell Hurwitz, the creator Arrested Development, I think that was

265
00:15:49,840 --> 00:15:53,320
Speaker 1: one of his first writing gigs, was Golden Girls, Like

266
00:15:53,360 --> 00:15:57,680
Speaker 1: there's really just incredible pedigree in that writer's room and

267
00:15:57,840 --> 00:16:01,280
Speaker 1: you can you can see it on the screen. Yeah,

268
00:16:02,120 --> 00:16:04,240
Speaker 1: it's one of the for for real, Like I definitely

269
00:16:04,720 --> 00:16:07,040
Speaker 1: it was a show my grandmother would have on and

270
00:16:07,080 --> 00:16:09,000
Speaker 1: I would watch it, and I always thought it was

271
00:16:09,000 --> 00:16:13,280
Speaker 1: funny because I just always I loved Sophia, like just

272
00:16:13,360 --> 00:16:15,560
Speaker 1: from being just like her vibe. Always that was like

273
00:16:15,600 --> 00:16:19,480
Speaker 1: my favorite Golden Girl character. But I always it probably

274
00:16:19,560 --> 00:16:23,320
Speaker 1: wasn't until I think I stopped watching like high school,

275
00:16:23,440 --> 00:16:25,360
Speaker 1: and I never came back. But because I always had

276
00:16:25,400 --> 00:16:27,800
Speaker 1: good memories when like this sort of second third wave

277
00:16:27,840 --> 00:16:30,040
Speaker 1: of like Golden Girls fandom that's sort of just been

278
00:16:30,040 --> 00:16:33,080
Speaker 1: on the internet pretty consistently, I've always looked at him like, oh, yeah,

279
00:16:33,120 --> 00:16:35,520
Speaker 1: fucking Golden Girls is the ship. But you know, like

280
00:16:35,520 --> 00:16:37,160
Speaker 1: when I think of it now, most people looking at

281
00:16:37,160 --> 00:16:39,280
Speaker 1: it through adult eyes. I probably need to do that

282
00:16:39,360 --> 00:16:41,880
Speaker 1: again because I did as a you know, you know,

283
00:16:42,120 --> 00:16:45,000
Speaker 1: a kid or younger person liked it, but yeah, give

284
00:16:45,040 --> 00:16:48,400
Speaker 1: it an adult eye viewing now. Know as a kid,

285
00:16:48,400 --> 00:16:50,200
Speaker 1: that didn't really strike me that it was a good show.

286
00:16:50,240 --> 00:16:54,680
Speaker 1: I just watched it with yeah, yeah, but it was

287
00:16:54,720 --> 00:16:56,560
Speaker 1: really like just being a fan of comedy now and

288
00:16:56,640 --> 00:16:58,160
Speaker 1: as adult, and I looked like, like, man, these are

289
00:16:58,240 --> 00:17:01,680
Speaker 1: really this is really funny. Like these characters are very

290
00:17:01,720 --> 00:17:06,080
Speaker 1: well defined. They're very flawed, but you love them, and

291
00:17:06,280 --> 00:17:09,359
Speaker 1: the jokes are just very good. And it was ahead

292
00:17:09,400 --> 00:17:12,639
Speaker 1: of its time, like really especially dealing with like for

293
00:17:12,680 --> 00:17:15,040
Speaker 1: the most part, again they have their sort of blind spots,

294
00:17:15,040 --> 00:17:17,680
Speaker 1: but for the most part dealing with issues of like

295
00:17:17,680 --> 00:17:21,760
Speaker 1: like l g B t Q, and you know, like

296
00:17:22,440 --> 00:17:25,679
Speaker 1: at the time, like immigration and like sort of like

297
00:17:25,760 --> 00:17:28,840
Speaker 1: certain conservative values and stuff like that, they did a

298
00:17:28,880 --> 00:17:32,680
Speaker 1: really good job, I feel like for the time, just

299
00:17:32,720 --> 00:17:36,600
Speaker 1: like setting good precedent sort of like social reforms and whatnot.

300
00:17:36,920 --> 00:17:39,040
Speaker 1: And it's just funny. It's fun And back in the

301
00:17:39,119 --> 00:17:42,520
Speaker 1: days when you did sitcoms, it wasn't enough that you

302
00:17:42,560 --> 00:17:44,439
Speaker 1: were funny or you did others, like you had to

303
00:17:44,480 --> 00:17:48,919
Speaker 1: be a really solid performer. Um, and you know, it

304
00:17:49,000 --> 00:17:52,480
Speaker 1: was really different back then. Like all of them are

305
00:17:52,480 --> 00:17:56,560
Speaker 1: have very well defined stage careers and television careers and

306
00:17:56,600 --> 00:17:59,760
Speaker 1: like we are true like quote like quote thespians of

307
00:17:59,840 --> 00:18:03,920
Speaker 1: the game. So it's like it really is like performance

308
00:18:04,440 --> 00:18:07,080
Speaker 1: television performance at the highest level. I think get too

309
00:18:07,119 --> 00:18:09,960
Speaker 1: nerdy with this ship, but like you know what I mean, Like, yeah,

310
00:18:10,040 --> 00:18:12,880
Speaker 1: good sitcom acting is it's difficult too because a lot

311
00:18:12,880 --> 00:18:16,359
Speaker 1: of the times the writers weren't writing for the actors,

312
00:18:16,600 --> 00:18:19,680
Speaker 1: like that was a script and they're like, you need

313
00:18:19,720 --> 00:18:22,439
Speaker 1: to turn this up. Whereas like in listening to the

314
00:18:22,440 --> 00:18:24,920
Speaker 1: Office Deep Dive podcast in one of the first episodes,

315
00:18:24,960 --> 00:18:27,720
Speaker 1: Greg Daniels on the showrunners talks about how they were

316
00:18:27,760 --> 00:18:30,560
Speaker 1: for the first time different doing something different than traditional

317
00:18:30,640 --> 00:18:33,639
Speaker 1: sitcom writing, where it's like they tried to know the

318
00:18:33,760 --> 00:18:37,680
Speaker 1: performer and start writing the character to tailor the performer,

319
00:18:37,720 --> 00:18:39,760
Speaker 1: which was different for before. Was like you got to

320
00:18:39,800 --> 00:18:41,560
Speaker 1: pull up with your skills. And I think, yeah, when

321
00:18:41,680 --> 00:18:44,440
Speaker 1: this kind of sitcom acting, like they truly took these

322
00:18:44,920 --> 00:18:47,880
Speaker 1: good solid writing even though it wasn't tailored to them.

323
00:18:47,920 --> 00:18:50,240
Speaker 1: But having to take that and make it seem like

324
00:18:50,320 --> 00:18:55,520
Speaker 1: it was, I think, yeah, it's a true art form. Yeah,

325
00:18:55,680 --> 00:18:59,200
Speaker 1: give me Blanche Devereaux over Samantha from Sex in the City.

326
00:18:59,200 --> 00:19:02,919
Speaker 1: In terms of uh, sex positive characters from my childhood,

327
00:19:03,400 --> 00:19:08,399
Speaker 1: Blanch was the ship. Oh definitely, Blanch is blanch is

328
00:19:08,480 --> 00:19:12,040
Speaker 1: Like what's great about her is like as shallow and

329
00:19:12,080 --> 00:19:17,720
Speaker 1: like as she seems, she's always like is the she's

330
00:19:17,720 --> 00:19:20,680
Speaker 1: she aggressively defends her friends like when she has to,

331
00:19:20,880 --> 00:19:23,679
Speaker 1: like what I mean, like they're all really flawed, but

332
00:19:23,840 --> 00:19:28,480
Speaker 1: all have very very important, key aspects of their character

333
00:19:28,600 --> 00:19:30,600
Speaker 1: that you fall in love with that like you like.

334
00:19:31,119 --> 00:19:33,240
Speaker 1: So it's like it's just and that's like you said,

335
00:19:33,280 --> 00:19:37,640
Speaker 1: that's really from the writing and the performing and uh

336
00:19:37,760 --> 00:19:39,880
Speaker 1: and you just kind of don't see that ship no more.

337
00:19:40,000 --> 00:19:43,800
Speaker 1: It's just, Yeah, it's weird that like the shows that

338
00:19:43,880 --> 00:19:47,200
Speaker 1: I watched as a kid, like comedy holds up better

339
00:19:47,280 --> 00:19:50,639
Speaker 1: than the drama. Maybe maybe it's just because TV dramas

340
00:19:50,640 --> 00:19:56,040
Speaker 1: have like progressed more, but like you know, matt Lock

341
00:19:56,119 --> 00:19:58,280
Speaker 1: and Murder she wrote, and those sorts of shows that

342
00:19:58,359 --> 00:20:00,879
Speaker 1: I kind of associate with Golden Girls in terms of

343
00:20:00,920 --> 00:20:03,080
Speaker 1: like being on around the same time and like being

344
00:20:03,840 --> 00:20:06,520
Speaker 1: shows I would watching my grandparents house and ship like

345
00:20:06,880 --> 00:20:10,840
Speaker 1: the Golden Girls holds up really well, whereas, like you know,

346
00:20:10,920 --> 00:20:15,920
Speaker 1: matt Lock, I kind of regret my full fullback Mattlock tattoo.

347
00:20:16,560 --> 00:20:19,840
Speaker 1: Yeah well yeah yeah, but yeah back on lock with

348
00:20:19,920 --> 00:20:23,520
Speaker 1: the matt Lock tattoo. You have a full matt Lock

349
00:20:23,840 --> 00:20:27,400
Speaker 1: and and it's really detailed, full body. Yeah, you can

350
00:20:27,440 --> 00:20:29,240
Speaker 1: kind of get an idea of the entire arc of

351
00:20:29,280 --> 00:20:33,280
Speaker 1: the series based on like the different sections of the tattoo. Yeah,

352
00:20:33,480 --> 00:20:37,520
Speaker 1: and it is nude. It is it's nude of Matlock

353
00:20:37,600 --> 00:20:43,400
Speaker 1: and yeah yeah, it starts from underneath his shoulder blades

354
00:20:43,440 --> 00:20:46,080
Speaker 1: to the bottom of his butt cheeks. I mean, you

355
00:20:46,080 --> 00:20:48,600
Speaker 1: don't want to work around with something like that. Man,

356
00:20:49,119 --> 00:20:52,080
Speaker 1: it looks like a weird yakuza tattoo. That just sounds

357
00:20:52,119 --> 00:20:55,080
Speaker 1: like the worst idea I've ever heard in my life.

358
00:20:55,800 --> 00:21:01,760
Speaker 1: And yeah, still dealing with un no, but um no,

359
00:21:02,040 --> 00:21:05,000
Speaker 1: I agree with you. Don like definitely the old school

360
00:21:05,080 --> 00:21:07,520
Speaker 1: like dramas now they're like, oh, this is Laane. These

361
00:21:07,600 --> 00:21:11,600
Speaker 1: characters act like cartoon character. But like comedy, that's what

362
00:21:11,680 --> 00:21:14,280
Speaker 1: what's noble about comedy. It's like it's kind of universal

363
00:21:14,640 --> 00:21:17,280
Speaker 1: and it's if it's done right, it's kind of timeless.

364
00:21:17,320 --> 00:21:21,119
Speaker 1: Like I Love I Love Lucy is still really really funny.

365
00:21:21,359 --> 00:21:25,680
Speaker 1: And you know again, like it's done such a long

366
00:21:25,720 --> 00:21:28,040
Speaker 1: time ago, so those aspects of you look back and

367
00:21:28,200 --> 00:21:30,560
Speaker 1: you know it's a little cringe e. But like the

368
00:21:30,800 --> 00:21:34,639
Speaker 1: other aspects, like man, this ship is still funny. Yeah yeah,

369
00:21:34,680 --> 00:21:36,880
Speaker 1: I mean, because like when you look at movies from

370
00:21:36,920 --> 00:21:40,440
Speaker 1: the eighties, like a lot of the comedies don't hold

371
00:21:40,520 --> 00:21:43,520
Speaker 1: up that well, but you know, dramas and like back

372
00:21:43,520 --> 00:21:46,480
Speaker 1: to the I guess Back to the Future is a

373
00:21:46,520 --> 00:21:51,760
Speaker 1: comedic drama. D I think drama back to uh you know,

374
00:21:51,840 --> 00:21:56,080
Speaker 1: the greatest film of all time time? Yeah, I guess,

375
00:21:56,160 --> 00:21:58,000
Speaker 1: Like like okay, like do you mean, like, let's say

376
00:21:58,560 --> 00:22:01,359
Speaker 1: a film like Ferris Busy Off? Is that like a

377
00:22:01,760 --> 00:22:09,400
Speaker 1: common my point sucks. I'm realizing, no, no, just background,

378
00:22:09,440 --> 00:22:14,360
Speaker 1: back away from that real quick. I also immediately mentioned

379
00:22:14,440 --> 00:22:19,960
Speaker 1: like and iconic, considered iconic like eighties comedy, but like, yeah,

380
00:22:20,000 --> 00:22:22,639
Speaker 1: there's a lot of comedies from that time, Like I

381
00:22:22,640 --> 00:22:25,240
Speaker 1: don't know, this one with Rodney danger Field that I

382
00:22:25,280 --> 00:22:27,240
Speaker 1: liked when I was a kid, and I saw a

383
00:22:27,280 --> 00:22:30,960
Speaker 1: part of it again, like I don't know, five years ago, yes,

384
00:22:31,080 --> 00:22:34,040
Speaker 1: and I was like, this fucking sucks, and it's just

385
00:22:34,080 --> 00:22:37,479
Speaker 1: like it was like they were like, how do we

386
00:22:37,520 --> 00:22:43,200
Speaker 1: make the dumbest, most like offensive bullshit with every bullshit

387
00:22:43,359 --> 00:22:46,920
Speaker 1: joke in it? And and then I like a dumbass.

388
00:22:47,000 --> 00:22:48,879
Speaker 1: I was like probably like ten years old, and I thought, man,

389
00:22:48,880 --> 00:22:53,359
Speaker 1: this is hilarious, this is so good, this is so well.

390
00:22:55,760 --> 00:22:59,120
Speaker 1: They really did, like they really loved the funk out

391
00:22:59,119 --> 00:23:04,400
Speaker 1: of like Rodney Dangerfield. Yeah, remember when they fucking made

392
00:23:04,400 --> 00:23:07,800
Speaker 1: that movie Rover Dangerfield. They just said, what if our

393
00:23:07,960 --> 00:23:11,440
Speaker 1: man was a fucking dog and it's a cartoon now,

394
00:23:11,680 --> 00:23:14,280
Speaker 1: Like that was it. I remember being so confused as

395
00:23:14,280 --> 00:23:16,960
Speaker 1: a kid when that movie came out. I'm like, dude,

396
00:23:17,000 --> 00:23:18,920
Speaker 1: I don't know what this is? A dog that's doing

397
00:23:19,040 --> 00:23:23,679
Speaker 1: stand up like the gusts. Yeah, I mean it's crazy.

398
00:23:23,720 --> 00:23:26,400
Speaker 1: Back then you just needed this, like like I mean,

399
00:23:26,440 --> 00:23:28,919
Speaker 1: you need a comedy. Had to have a stick, I guess.

400
00:23:29,200 --> 00:23:31,240
Speaker 1: And he's like, hey, yeah, definitely does this weird? Like

401
00:23:31,480 --> 00:23:33,560
Speaker 1: these days if you do yeah, these days, if you

402
00:23:33,600 --> 00:23:36,360
Speaker 1: do that, people like, man, get this fucking off stage.

403
00:23:37,720 --> 00:23:41,960
Speaker 1: We want to be Rodney Dangerfield looking at I heard that,

404
00:23:42,080 --> 00:23:47,159
Speaker 1: dude was like, I mean again, I don't know, like

405
00:23:47,200 --> 00:23:48,840
Speaker 1: how true? This is what I heard? Like he was

406
00:23:48,920 --> 00:23:52,159
Speaker 1: like a really shitty dude, and like towards the end

407
00:23:52,160 --> 00:23:54,120
Speaker 1: of his life when he wasn't doing comedy as much,

408
00:23:54,520 --> 00:23:57,639
Speaker 1: like I had some like financial scheme where he like

409
00:23:58,080 --> 00:24:00,879
Speaker 1: schemed a bunch of like old retired people out of

410
00:24:00,920 --> 00:24:04,000
Speaker 1: their money or something like again, like I heard this,

411
00:24:04,280 --> 00:24:06,080
Speaker 1: I forgot what source I heard is from but I

412
00:24:06,119 --> 00:24:08,000
Speaker 1: have heard from multiple sources of the dude was like

413
00:24:08,000 --> 00:24:11,600
Speaker 1: a shitty dude, but like someone who constantly glows around

414
00:24:11,640 --> 00:24:14,800
Speaker 1: screaming about how they get no respect. I'm not surprised

415
00:24:15,080 --> 00:24:22,080
Speaker 1: at all why they don't get any respect. But I mean,

416
00:24:22,320 --> 00:24:24,080
Speaker 1: I don't know who knows. I mean, that's a whole

417
00:24:24,160 --> 00:24:26,360
Speaker 1: that's part of the life cycle of being a celebrity.

418
00:24:26,400 --> 00:24:29,159
Speaker 1: Who old people like, is you know, like Tom Selleck

419
00:24:29,280 --> 00:24:34,480
Speaker 1: now does all those like scamships, uh, you know will exactly?

420
00:24:34,600 --> 00:24:39,239
Speaker 1: I trust them, And I think that's just being an

421
00:24:39,280 --> 00:24:42,520
Speaker 1: American who old people like telling these old people give

422
00:24:42,520 --> 00:24:46,240
Speaker 1: their home to the bank in this commercial, yeah for

423
00:24:46,320 --> 00:24:52,160
Speaker 1: the Yeah, for those reverse mortgages. Yeah, it's also like

424
00:24:52,160 --> 00:24:54,000
Speaker 1: like shut up, Tom said that you're asked, don't have

425
00:24:54,040 --> 00:24:58,000
Speaker 1: no reverse mortgage. You don't reverse mortgage out of here,

426
00:24:58,400 --> 00:25:00,760
Speaker 1: you do. Blue Bloods. I don't know a show still long,

427
00:25:00,800 --> 00:25:02,960
Speaker 1: but I think it's always gonna be on. I think

428
00:25:02,960 --> 00:25:08,119
Speaker 1: they signed an official deal that it's it's always from now. Yeah,

429
00:25:08,200 --> 00:25:12,640
Speaker 1: we have extended Blue Bloods through the end of time. Alright,

430
00:25:12,720 --> 00:25:15,400
Speaker 1: let's take a quick break and we'll be right back,

431
00:25:25,920 --> 00:25:28,760
Speaker 1: and we're back. I just wanted to say I was

432
00:25:28,760 --> 00:25:31,760
Speaker 1: looking at Rodney danger Fields Wikipedia. He wrote a He

433
00:25:31,800 --> 00:25:34,000
Speaker 1: had an autobiography in two thousand four card It's Not

434
00:25:34,119 --> 00:25:37,639
Speaker 1: Easy Being Me. A lifetime of no respect, but plenty

435
00:25:37,680 --> 00:25:43,879
Speaker 1: of sex and drugs. Oh okay. He said he was

436
00:25:43,920 --> 00:25:46,159
Speaker 1: so into smoking weed. The book's original title is just

437
00:25:46,160 --> 00:25:50,200
Speaker 1: supposed to call My Love Affair with Marijuana. I mean,

438
00:25:50,920 --> 00:25:54,440
Speaker 1: that's not the that's not what I would have expected.

439
00:25:54,520 --> 00:25:59,520
Speaker 1: I wouldn't expect him to be a product. But yeah, um, alright,

440
00:25:59,600 --> 00:26:04,480
Speaker 1: let's talk about Miles. What happened? I had so much

441
00:26:04,520 --> 00:26:09,359
Speaker 1: money on Florida, these Florida GOP stars being be in

442
00:26:09,400 --> 00:26:12,240
Speaker 1: the future of the party. Yeah, a lot of people did.

443
00:26:12,600 --> 00:26:15,800
Speaker 1: Yeah when when what this past week? What the funk happened?

444
00:26:15,800 --> 00:26:21,840
Speaker 1: Man gets they know it sounds it sounds like everybody

445
00:26:21,960 --> 00:26:25,639
Speaker 1: with the how quickly this scant like there's no protection

446
00:26:25,680 --> 00:26:28,080
Speaker 1: from the party. They're just like, no, that's like, you know,

447
00:26:28,119 --> 00:26:30,000
Speaker 1: like if you're you, you go out with a friend

448
00:26:30,040 --> 00:26:32,760
Speaker 1: and somebody acts like wild stupid and you're like, I'm

449
00:26:32,760 --> 00:26:35,399
Speaker 1: not getting a fight with this over this ship. Anybody,

450
00:26:35,600 --> 00:26:38,639
Speaker 1: You're on your own fan ahead on that one, Like

451
00:26:38,720 --> 00:26:40,960
Speaker 1: that's what's happening with him? And it should be and like,

452
00:26:41,000 --> 00:26:43,240
Speaker 1: no one should be defending him when there's allegations of

453
00:26:43,320 --> 00:26:47,280
Speaker 1: child sex trafficking involved. But yeah, now he's I mean,

454
00:26:47,359 --> 00:26:49,920
Speaker 1: it's it's on every pad. There's a new thing. There

455
00:26:50,000 --> 00:26:52,560
Speaker 1: was like the Iran angle for a little bit that

456
00:26:52,600 --> 00:26:55,320
Speaker 1: went away where it was about getting a freed CIA

457
00:26:55,440 --> 00:26:58,960
Speaker 1: agent that people thought was dead. And now he's like, hey,

458
00:26:59,000 --> 00:27:01,840
Speaker 1: I'm not a monk, like in this offed he put

459
00:27:01,880 --> 00:27:05,040
Speaker 1: out and you're like, oh my god, what is this.

460
00:27:05,640 --> 00:27:08,600
Speaker 1: I was shocked when I heard this. I was like, man,

461
00:27:08,720 --> 00:27:11,320
Speaker 1: Matt Dates, you're kidding me. I can't believe that he's me.

462
00:27:11,960 --> 00:27:15,680
Speaker 1: Uh No, I'm kidding. He's the guy's absolute trash bag.

463
00:27:16,080 --> 00:27:19,320
Speaker 1: And it's so obvious, and like, I think he went

464
00:27:19,359 --> 00:27:23,960
Speaker 1: against some of like some of the like parties more

465
00:27:24,080 --> 00:27:27,760
Speaker 1: respected members, and I think now he's kind of a

466
00:27:27,760 --> 00:27:31,920
Speaker 1: paying price with that. Yeah, well, at least they'll always

467
00:27:31,960 --> 00:27:36,480
Speaker 1: have good old Rhonda Santis uh front runner to be

468
00:27:36,640 --> 00:27:40,119
Speaker 1: the go GOP nominee for the presidential election if Trump

469
00:27:40,160 --> 00:27:45,239
Speaker 1: doesn't run again. He was at the Sea pack like

470
00:27:45,280 --> 00:27:47,840
Speaker 1: when they were taking close to everyone was like de

471
00:27:48,000 --> 00:27:51,880
Speaker 1: Santis all the way, man, he's our boy. Except for

472
00:27:51,960 --> 00:27:54,520
Speaker 1: the fact that We we've had our suspicions about how

473
00:27:54,560 --> 00:27:58,920
Speaker 1: he was handling COVID when he like fired the woman

474
00:27:58,960 --> 00:28:03,000
Speaker 1: who built the state of the art database that everybody

475
00:28:03,080 --> 00:28:05,800
Speaker 1: was using and was like, she's making the numbers look

476
00:28:05,880 --> 00:28:09,600
Speaker 1: too realistic. So they fired her, then had the police

477
00:28:09,640 --> 00:28:13,440
Speaker 1: like raid her house. Uh. So there's a little smoke there.

478
00:28:13,520 --> 00:28:17,520
Speaker 1: But now sixty Minutes did a deep dive into his

479
00:28:17,600 --> 00:28:21,719
Speaker 1: handling of the vaccine rollout. It's not good, that's not

480
00:28:22,000 --> 00:28:26,280
Speaker 1: it doesn't doesn't look great. Reporting from sixty Minutes alleges

481
00:28:26,320 --> 00:28:31,240
Speaker 1: that he funneled the state's coronavirus vaccines to rich communities, uh,

482
00:28:31,320 --> 00:28:35,720
Speaker 1: and privatize the vaccine rollout to benefit donors, specifically the

483
00:28:35,760 --> 00:28:40,640
Speaker 1: people who owned publics. But there's also places where people

484
00:28:40,720 --> 00:28:43,840
Speaker 1: who were on boards and who you know, we're just

485
00:28:44,000 --> 00:28:48,440
Speaker 1: in good with him. We're getting vaccines like irrespective of

486
00:28:48,640 --> 00:28:52,800
Speaker 1: their place in line. It was just I'm shocked again

487
00:28:55,000 --> 00:29:00,000
Speaker 1: we are breaking news here, Peter. Uh, it's just yeah,

488
00:29:00,160 --> 00:29:03,920
Speaker 1: these are another guy who got in when you know,

489
00:29:04,000 --> 00:29:07,920
Speaker 1: Andrew Gillum could have just possibly have been governor as well,

490
00:29:08,080 --> 00:29:10,680
Speaker 1: if who knows what if there were the voter suppression,

491
00:29:10,920 --> 00:29:13,959
Speaker 1: you know, it's pretty robust in Florida if Rhonda Santis

492
00:29:14,000 --> 00:29:16,760
Speaker 1: would even be governor right now, both the people who

493
00:29:16,800 --> 00:29:20,200
Speaker 1: went against Stacy Abrams and Andrew Gillham, respectively, or having

494
00:29:20,240 --> 00:29:24,200
Speaker 1: a real awful time. Um just like not like they're

495
00:29:24,200 --> 00:29:26,760
Speaker 1: doing what conservative governors are going to do, which is

496
00:29:26,800 --> 00:29:29,840
Speaker 1: just basically whoever looks like them out at the cost

497
00:29:29,880 --> 00:29:31,680
Speaker 1: of everyone else. I mean, I feel like they're having

498
00:29:31,680 --> 00:29:33,880
Speaker 1: a great time doing it. It's what they they're doing

499
00:29:33,880 --> 00:29:36,080
Speaker 1: what they do, right, Yeah. And you can tell the

500
00:29:36,120 --> 00:29:38,400
Speaker 1: way they talk because even like Rhonda Santis when he

501
00:29:38,440 --> 00:29:40,200
Speaker 1: talks about like, oh, all the people that are coming

502
00:29:40,200 --> 00:29:42,440
Speaker 1: to Florida for spring break, He's like, yeah, because we're open,

503
00:29:42,560 --> 00:29:44,480
Speaker 1: you know, and people don't have to be miserable anymore.

504
00:29:44,840 --> 00:29:47,640
Speaker 1: It's like, what, that's what you thought. This whole thing

505
00:29:47,720 --> 00:29:50,400
Speaker 1: was people just bummed out and miserable because they couldn't

506
00:29:50,400 --> 00:29:53,360
Speaker 1: look around on spring break, not because nearly six hundred

507
00:29:53,400 --> 00:29:56,920
Speaker 1: thousand people have died. Like what the what? Yeah? All

508
00:29:57,000 --> 00:30:01,280
Speaker 1: the I mean it's a of the example I feel

509
00:30:01,320 --> 00:30:05,400
Speaker 1: like of like right now, if if you're a conservative

510
00:30:06,280 --> 00:30:08,840
Speaker 1: sort of like a person who was trying to run

511
00:30:08,920 --> 00:30:12,320
Speaker 1: for some kind of like especialist state like Florida. All

512
00:30:12,360 --> 00:30:14,320
Speaker 1: you gotta do is just kind of say the same

513
00:30:14,440 --> 00:30:17,120
Speaker 1: kind of crap, talk about, you know, I'm a Christian

514
00:30:17,280 --> 00:30:20,400
Speaker 1: and then talk about abortion and bullshit like that. Kiss

515
00:30:20,400 --> 00:30:24,880
Speaker 1: Trump's asked that's enough to get elected. But if you're progressive,

516
00:30:26,120 --> 00:30:28,560
Speaker 1: you have to solve problems. You gotta be able to

517
00:30:28,600 --> 00:30:30,680
Speaker 1: solve problems. You gotta be you have to be tough

518
00:30:30,680 --> 00:30:33,560
Speaker 1: of your class, you have to have life basically, just

519
00:30:33,640 --> 00:30:36,640
Speaker 1: have a complete you know, never had an issue with

520
00:30:36,720 --> 00:30:39,800
Speaker 1: anybody in your life, but never said of bacting about anybody.

521
00:30:39,880 --> 00:30:42,080
Speaker 1: I mean, it's just sort of like it's just a crazy,

522
00:30:42,240 --> 00:30:45,480
Speaker 1: crazy double standard. This guy around the Santist couldn't run

523
00:30:46,240 --> 00:30:51,440
Speaker 1: a news stand and and now he's running an entire

524
00:30:51,480 --> 00:30:55,080
Speaker 1: state with one of the biggest populations in the country. Yeah,

525
00:30:55,400 --> 00:30:57,240
Speaker 1: I guess at this point, I'm starting to say about

526
00:30:57,280 --> 00:31:00,520
Speaker 1: whatever happens is kind of gonna happen. It's like they

527
00:31:00,520 --> 00:31:04,320
Speaker 1: always say in politics, you don't get the leaders you want,

528
00:31:04,360 --> 00:31:06,520
Speaker 1: you get the ones you deserve. And if people are

529
00:31:06,520 --> 00:31:09,400
Speaker 1: going to keep voting for pieces of crap like that, yeah,

530
00:31:09,520 --> 00:31:11,280
Speaker 1: it's just tough in states like that too, though, like

531
00:31:11,280 --> 00:31:13,840
Speaker 1: where Georgia clearly was a state that could have gone

532
00:31:13,840 --> 00:31:17,480
Speaker 1: blue many years ago if if it weren't designed to

533
00:31:17,720 --> 00:31:20,240
Speaker 1: take votes away from you know, people of color and

534
00:31:20,280 --> 00:31:23,400
Speaker 1: people who would vote democratically and I and Florida is

535
00:31:23,440 --> 00:31:26,240
Speaker 1: no different. And which sucks is because yeah, while there

536
00:31:26,240 --> 00:31:29,520
Speaker 1: are the you know, fifty plus one that ensured the

537
00:31:29,600 --> 00:31:33,520
Speaker 1: victory that did vote for De Santis, the whole other

538
00:31:33,560 --> 00:31:36,680
Speaker 1: half of the country that or state that didn't. Oh yeah,

539
00:31:36,720 --> 00:31:39,040
Speaker 1: and like and yeah, this is what happens. We're not

540
00:31:39,080 --> 00:31:41,880
Speaker 1: able to exercise our power to vote properly because I'd

541
00:31:41,880 --> 00:31:44,960
Speaker 1: imagine on paper more people don't want round de Santis

542
00:31:44,960 --> 00:31:47,480
Speaker 1: than do. But this is how they've they've got the

543
00:31:47,520 --> 00:31:50,120
Speaker 1: game rigged at the moment. Yeah, absolutely, and and and

544
00:31:50,760 --> 00:31:54,040
Speaker 1: my and who I really mean that towards the sort

545
00:31:54,080 --> 00:31:58,000
Speaker 1: of like the people who consciously put a vote, who

546
00:31:58,240 --> 00:32:01,720
Speaker 1: did that, because it's like I'm unfortunately state in the

547
00:32:01,800 --> 00:32:06,360
Speaker 1: state like Florida, it's almost like I don't know, It's

548
00:32:06,400 --> 00:32:09,720
Speaker 1: like I automatically assume that there is a much higher

549
00:32:09,720 --> 00:32:15,360
Speaker 1: population of the people who have at least more progressive intentions,

550
00:32:15,640 --> 00:32:18,840
Speaker 1: but a large percentage of them either don't vote, or

551
00:32:18,840 --> 00:32:21,000
Speaker 1: don't get a chance to vote, or put in positions

552
00:32:21,040 --> 00:32:25,640
Speaker 1: where they it's not easy for them to do because like, oh,

553
00:32:25,680 --> 00:32:28,320
Speaker 1: I can't take this day off otherwise I don't get

554
00:32:28,320 --> 00:32:30,080
Speaker 1: paid and I can't put I mean, it's just like,

555
00:32:30,640 --> 00:32:32,760
Speaker 1: so we have a pandemic where people are like, no,

556
00:32:32,840 --> 00:32:35,080
Speaker 1: I have time to vote now, and we started, we

557
00:32:35,080 --> 00:32:38,000
Speaker 1: started to see what happens, which is why they're trying

558
00:32:38,000 --> 00:32:41,520
Speaker 1: to like slam the gate shut before more people start

559
00:32:41,600 --> 00:32:45,000
Speaker 1: voting freely. The good news is that like like sort of,

560
00:32:45,000 --> 00:32:48,840
Speaker 1: the populace is more aware than ever, so they can

561
00:32:48,880 --> 00:32:52,080
Speaker 1: see everything that's happening. So I think the GOP they're

562
00:32:52,080 --> 00:32:55,240
Speaker 1: going to get their winds and here and there, but

563
00:32:55,320 --> 00:32:57,400
Speaker 1: in the end of the day, we clearly see where

564
00:32:57,400 --> 00:33:00,680
Speaker 1: this country is said, it's headed to a to agenda

565
00:33:01,000 --> 00:33:03,440
Speaker 1: and like, and they can get on board or not

566
00:33:03,480 --> 00:33:07,960
Speaker 1: get on board. But it's clear, it's clear how history

567
00:33:08,000 --> 00:33:10,200
Speaker 1: is going to show everything. Yeah, it's just more of

568
00:33:10,200 --> 00:33:12,640
Speaker 1: the pace at which it happens. Because right now the

569
00:33:12,760 --> 00:33:15,960
Speaker 1: part of the Republicans are they will they will quite literally,

570
00:33:16,000 --> 00:33:18,720
Speaker 1: I think, throw themselves into a fire if they have to,

571
00:33:19,440 --> 00:33:21,520
Speaker 1: if they have to keep any progress from happening, which

572
00:33:21,520 --> 00:33:25,200
Speaker 1: is what makes it so doubly frustrating. Yeah. Yeah, the

573
00:33:25,280 --> 00:33:28,240
Speaker 1: party that always ran on a platform of like we

574
00:33:28,320 --> 00:33:31,960
Speaker 1: are against communism, we're literally and we're against Russia whatever.

575
00:33:32,080 --> 00:33:37,560
Speaker 1: Literally was okay with Russia hacking our biggest, most important

576
00:33:37,600 --> 00:33:40,000
Speaker 1: systems in this country. And then see walking into the

577
00:33:40,000 --> 00:33:43,520
Speaker 1: Oval office. But there's no problem, it's no problem. But

578
00:33:43,760 --> 00:33:46,200
Speaker 1: imagine if like a progressive leader has done something like that.

579
00:33:46,240 --> 00:33:49,840
Speaker 1: Oh my god. I think someone was like, well, like

580
00:33:49,880 --> 00:33:53,600
Speaker 1: if the second someone says anything about Venezuela objectively, they're like, well,

581
00:33:53,680 --> 00:33:55,840
Speaker 1: let's talk about this sanctions, They're like, oh my god,

582
00:33:55,920 --> 00:34:01,640
Speaker 1: what what do youse? Some social leasta fashion heast? What

583
00:34:01,840 --> 00:34:05,040
Speaker 1: is this crap? Yeah? No, see, you're just triggered by

584
00:34:05,080 --> 00:34:07,160
Speaker 1: the fact that I'm talking about a country that the

585
00:34:07,240 --> 00:34:10,560
Speaker 1: United States foreign policy has been you know, actively trying

586
00:34:10,560 --> 00:34:15,719
Speaker 1: to destabilize. Yeah, there's, um there's this thing that happens

587
00:34:16,600 --> 00:34:18,719
Speaker 1: a lot that that you see in this case, where

588
00:34:18,719 --> 00:34:24,719
Speaker 1: they're using privatization to launder like their white supremacy, um

589
00:34:24,920 --> 00:34:27,279
Speaker 1: by being like, well, we're just gonna give it to

590
00:34:27,640 --> 00:34:31,880
Speaker 1: publish publics is a big grocery chain, and you know

591
00:34:32,040 --> 00:34:36,400
Speaker 1: they're gonna know how to appropriate all the all the

592
00:34:36,600 --> 00:34:43,080
Speaker 1: UH vaccines. And meanwhile, you know that leads to uh,

593
00:34:43,480 --> 00:34:47,719
Speaker 1: Palm Beach County, which is has uh vaccinated over a

594
00:34:47,800 --> 00:34:51,759
Speaker 1: hundred and sixty thousand residents. Of those people vaccinated, two

595
00:34:51,800 --> 00:34:55,239
Speaker 1: percent were black, three percent were Hispanic, even though minorities

596
00:34:55,280 --> 00:34:58,440
Speaker 1: make up almost half the country or half the county.

597
00:34:58,480 --> 00:35:03,279
Speaker 1: So it's yeah, they they know what they're doing. It's

598
00:35:03,320 --> 00:35:08,400
Speaker 1: i think increasingly as as you alluded to Peter, like

599
00:35:08,480 --> 00:35:14,879
Speaker 1: it's the uh it's like because it's becoming clear that

600
00:35:14,920 --> 00:35:18,160
Speaker 1: this is the country has head in a progressive direction,

601
00:35:18,640 --> 00:35:22,359
Speaker 1: they are making it clear, like it's it's more and

602
00:35:22,440 --> 00:35:25,719
Speaker 1: more important to them and to their supporters that they,

603
00:35:26,360 --> 00:35:29,360
Speaker 1: you know, uphold white supremacy out in the open without

604
00:35:29,480 --> 00:35:33,000
Speaker 1: saying it unless you're Trump. Oh yeah, I mean they're

605
00:35:33,000 --> 00:35:36,359
Speaker 1: more desperate. They're more desperate than everyone. Ben. It's like

606
00:35:37,000 --> 00:35:40,160
Speaker 1: they i mean, they're looking at the polls themselves like

607
00:35:40,480 --> 00:35:43,720
Speaker 1: they can see like so now it's about like theft,

608
00:35:43,800 --> 00:35:46,560
Speaker 1: it's about stealing, it's about being all the things they

609
00:35:46,680 --> 00:35:51,800
Speaker 1: always pretended to be against. And yeah, pretended exactly pretended

610
00:35:51,840 --> 00:35:53,759
Speaker 1: to be while that they're like, now that's that's what

611
00:35:53,800 --> 00:35:55,640
Speaker 1: it is. We just will say the other thing because

612
00:35:55,680 --> 00:35:57,479
Speaker 1: we want people to vote for us. Because they wanted

613
00:35:57,520 --> 00:36:00,319
Speaker 1: to think we're humans, right and then and there are

614
00:36:00,360 --> 00:36:02,319
Speaker 1: of course the ones that talk about how like there

615
00:36:02,400 --> 00:36:05,719
Speaker 1: is no systemic white supremacy in the system. It's like,

616
00:36:05,760 --> 00:36:09,560
Speaker 1: of course, the the person that's being accused is always

617
00:36:09,560 --> 00:36:12,760
Speaker 1: the person that's gonna saying, oh, this thing doesn't exist. Racist,

618
00:36:12,760 --> 00:36:16,480
Speaker 1: it's so crazy. Racism is so bad that even racists

619
00:36:16,719 --> 00:36:19,600
Speaker 1: don't want people to know the races, any other any

620
00:36:19,640 --> 00:36:22,680
Speaker 1: other ideology somebody has. They want everyone to know how

621
00:36:22,680 --> 00:36:25,360
Speaker 1: they feel about something. But when it comes to racism,

622
00:36:25,520 --> 00:36:29,040
Speaker 1: even racists are afraid. Even racists know how bad it

623
00:36:29,560 --> 00:36:33,759
Speaker 1: Even racists not how howard is it is to dislike

624
00:36:33,840 --> 00:36:38,160
Speaker 1: someone hates someone simply because they're different from you. Well,

625
00:36:38,320 --> 00:36:42,399
Speaker 1: kind of the same story, but like a different part

626
00:36:42,440 --> 00:36:46,480
Speaker 1: of the same story is the voter suppression. That is,

627
00:36:46,960 --> 00:36:50,960
Speaker 1: you know, all the different you know, legislation that's being

628
00:36:51,040 --> 00:36:58,480
Speaker 1: proposed past in Georgia, in Florida that is basically making

629
00:36:58,520 --> 00:37:02,880
Speaker 1: it harder and harder for people who aren't Republican voters

630
00:37:02,880 --> 00:37:05,920
Speaker 1: to vote, basically is what it comes down to. Um,

631
00:37:06,000 --> 00:37:10,440
Speaker 1: and now miss McConnell is shook. It seems like you

632
00:37:10,560 --> 00:37:13,000
Speaker 1: got look I've been we were joking like, yo, I

633
00:37:13,000 --> 00:37:15,319
Speaker 1: guess the corporations are gonna have to fucking step in

634
00:37:15,360 --> 00:37:18,560
Speaker 1: to save democracy because it's the only thing that makes

635
00:37:18,600 --> 00:37:22,640
Speaker 1: sense to politicians in this country is the loss of capital.

636
00:37:23,040 --> 00:37:25,719
Speaker 1: So it's like, well, if they move the All Star Game,

637
00:37:25,800 --> 00:37:28,400
Speaker 1: that's one thing. If these other companies like, hey, we

638
00:37:28,440 --> 00:37:29,799
Speaker 1: need you all to do something or so, we're going

639
00:37:29,840 --> 00:37:31,160
Speaker 1: to figure out what we need to do to help,

640
00:37:31,400 --> 00:37:34,040
Speaker 1: you know, protect our employees. Now I'm not convinced. I

641
00:37:34,040 --> 00:37:36,799
Speaker 1: don't know how far a corporation is willing to go,

642
00:37:37,200 --> 00:37:40,480
Speaker 1: but right now they're making their sucking their teeth at

643
00:37:40,520 --> 00:37:42,960
Speaker 1: this bill, like okay, we'll see what's going on. And

644
00:37:43,000 --> 00:37:46,040
Speaker 1: Mitch McConnell, yes, he's saying things like this right now.

645
00:37:46,520 --> 00:37:50,080
Speaker 1: Uh he he was like a like a statement he

646
00:37:50,120 --> 00:37:52,960
Speaker 1: put out. He was warning companies like Coca Cola and

647
00:37:53,000 --> 00:37:57,319
Speaker 1: Delta to quote stop taking cues from the outrage industrial

648
00:37:57,440 --> 00:38:00,919
Speaker 1: complex end quote in react into their you know, other

649
00:38:00,960 --> 00:38:04,320
Speaker 1: people coming out against this Georgia voter suppression bill. And

650
00:38:04,760 --> 00:38:07,879
Speaker 1: I'm like, that's not big grim reaper energy, Mitch. That's

651
00:38:07,920 --> 00:38:09,880
Speaker 1: not usually how you are. Like I thought you were

652
00:38:09,880 --> 00:38:11,440
Speaker 1: the guy who's like, oh, you don't know what I

653
00:38:11,480 --> 00:38:13,160
Speaker 1: have under my coat because I want to get rid

654
00:38:13,200 --> 00:38:15,319
Speaker 1: of the filipbuster, and I will start clapping in here.

655
00:38:15,480 --> 00:38:18,000
Speaker 1: But it's all pump fakes from him because he has nothing,

656
00:38:18,080 --> 00:38:20,799
Speaker 1: because they don't have an ideology that appeals to a

657
00:38:20,840 --> 00:38:23,520
Speaker 1: majority of people and only enjoy it. It's only enjoyed

658
00:38:23,560 --> 00:38:27,280
Speaker 1: and attractive to a very small part of the country,

659
00:38:27,520 --> 00:38:30,520
Speaker 1: and those numbers are starting to dwindle, but it's still

660
00:38:30,640 --> 00:38:33,799
Speaker 1: enough to make some races competitive with voter suppression. So

661
00:38:33,840 --> 00:38:37,200
Speaker 1: he goes on to say, quote, it's jaw dropping to

662
00:38:37,239 --> 00:38:42,800
Speaker 1: see powerful American institutions not just permit themselves to be bullied,

663
00:38:43,160 --> 00:38:47,440
Speaker 1: but join in the bullying themselves. Wealthy corporations have no

664
00:38:47,640 --> 00:38:51,680
Speaker 1: problem operating in New York, for example, which has fewer

665
00:38:51,760 --> 00:38:55,719
Speaker 1: days of early voting than Georgia, but requires excuses for

666
00:38:55,920 --> 00:39:01,000
Speaker 1: absentee ballots and restricts electioneering via refreshments. There is no

667
00:39:01,040 --> 00:39:03,799
Speaker 1: consistent or factual standard being applied here, is just a

668
00:39:03,840 --> 00:39:07,840
Speaker 1: fake narrative gaining speed by its own momentum. So is

669
00:39:07,840 --> 00:39:10,160
Speaker 1: he proposing that we changed things in New York? It

670
00:39:10,200 --> 00:39:13,959
Speaker 1: sounds like I mean, that's yeah, okay, So yeah, let's

671
00:39:14,640 --> 00:39:17,080
Speaker 1: don't we just pass HR one the four people act.

672
00:39:17,160 --> 00:39:18,960
Speaker 1: How about that we could just all put all on

673
00:39:19,000 --> 00:39:21,680
Speaker 1: the level playing field, because guess what, even the goons

674
00:39:21,719 --> 00:39:24,319
Speaker 1: who like racism, they would be registered to vote at

675
00:39:24,320 --> 00:39:27,920
Speaker 1: eighteen two. So, right, what's the problem? It's level, baby?

676
00:39:28,600 --> 00:39:30,880
Speaker 1: Were you We're saying we're gonna have a boxing match

677
00:39:31,040 --> 00:39:34,200
Speaker 1: and we're use the same gloves and where it's all sanctioned,

678
00:39:34,200 --> 00:39:35,600
Speaker 1: and we know which we're trying to make it as

679
00:39:35,680 --> 00:39:38,040
Speaker 1: level as possible. But this second, you know, because I

680
00:39:38,239 --> 00:39:41,920
Speaker 1: think all this does, it fucking underlines just how dependent

681
00:39:42,200 --> 00:39:45,279
Speaker 1: all politicians are on being in the good graces of

682
00:39:45,320 --> 00:39:48,359
Speaker 1: corporate donors. Like that's all this is saying to me.

683
00:39:49,560 --> 00:39:53,359
Speaker 1: I think the problem with old old Mitch is that

684
00:39:53,800 --> 00:39:57,400
Speaker 1: he knows that it's all about the cash. And because

685
00:39:57,440 --> 00:40:00,319
Speaker 1: again we said that the majority of the country is

686
00:40:00,440 --> 00:40:05,000
Speaker 1: against these sort of like these is against sort of

687
00:40:05,040 --> 00:40:08,600
Speaker 1: the the white supremacist institution that's really trying to keep

688
00:40:09,000 --> 00:40:12,000
Speaker 1: these voters voting suppression laws in place because a lot

689
00:40:12,040 --> 00:40:13,799
Speaker 1: of them have been in place for a long time.

690
00:40:13,960 --> 00:40:16,440
Speaker 1: They're just getting ramped up. They're just things are adding

691
00:40:16,480 --> 00:40:19,200
Speaker 1: on top of it now. But I feel like, um,

692
00:40:19,840 --> 00:40:22,919
Speaker 1: they know that it's like Delta is like, we don't

693
00:40:22,920 --> 00:40:25,839
Speaker 1: want to lose money, and the companies that we don't

694
00:40:25,840 --> 00:40:28,359
Speaker 1: want to lose money, so we don't give a funk

695
00:40:28,400 --> 00:40:31,640
Speaker 1: about pissing off some dumbass uh politicians. We give a

696
00:40:31,640 --> 00:40:33,680
Speaker 1: funk about pissing off millions of people, so we don't

697
00:40:33,680 --> 00:40:36,239
Speaker 1: lose money. So it's like he knows there's nothing he

698
00:40:36,320 --> 00:40:38,200
Speaker 1: can sit there and cry. All he wants is nothing

699
00:40:38,239 --> 00:40:40,680
Speaker 1: he can do about it, right because if consumer I mean,

700
00:40:40,719 --> 00:40:43,320
Speaker 1: that's like the weird thing. It's like consumer culture is

701
00:40:43,360 --> 00:40:46,839
Speaker 1: gonna guide this in the right direction. Because if we

702
00:40:46,880 --> 00:40:49,200
Speaker 1: start saying like, well, we're not gonna buy from this company,

703
00:40:49,200 --> 00:40:52,600
Speaker 1: like okay, fuck, we love voting, Okay, fine, what the fuck?

704
00:40:53,440 --> 00:40:55,600
Speaker 1: We want to make sure everyone can vote because we

705
00:40:55,640 --> 00:40:58,279
Speaker 1: don't want to sell less bottles of Sprite remix over

706
00:40:58,320 --> 00:41:01,440
Speaker 1: the side. I mean, right, in the end of the day,

707
00:41:01,480 --> 00:41:04,799
Speaker 1: what is this really about. It's really about they know

708
00:41:05,080 --> 00:41:10,240
Speaker 1: that literally, the black and left Hispanic Latino vote saved

709
00:41:10,320 --> 00:41:13,880
Speaker 1: this country. It's saved it. It's saved all our asses,

710
00:41:14,520 --> 00:41:17,080
Speaker 1: and they know that, and that's who they're trying to suppress.

711
00:41:17,200 --> 00:41:19,759
Speaker 1: I mean, these these these Republicans are it's kind of

712
00:41:19,760 --> 00:41:21,839
Speaker 1: like they're they're like evil. I don't want to use

713
00:41:21,840 --> 00:41:23,560
Speaker 1: the word genius because I don't think any of them

714
00:41:24,400 --> 00:41:27,160
Speaker 1: I can't even imagine. No, I won't associate the word

715
00:41:27,200 --> 00:41:31,080
Speaker 1: of these people. Yeah, they're just disgustingly cunning, and they'll

716
00:41:31,120 --> 00:41:35,239
Speaker 1: do things that the other side won't do because the

717
00:41:35,239 --> 00:41:38,919
Speaker 1: other side, you know. I mean, I hesitate calling myself

718
00:41:39,000 --> 00:41:42,319
Speaker 1: a Democrat because there's a lot of things in the

719
00:41:42,600 --> 00:41:45,080
Speaker 1: huge amount of things in the Democrats sort of the

720
00:41:45,200 --> 00:41:48,040
Speaker 1: zygeist of the democrats philosophy that I completely disagree with

721
00:41:48,040 --> 00:41:51,760
Speaker 1: two because I still rooted in some ways in white

722
00:41:51,760 --> 00:41:55,000
Speaker 1: supremacy and just sort of a slave to capitalism. But

723
00:41:55,080 --> 00:41:58,040
Speaker 1: it's like, at this point you have to choose sides,

724
00:41:58,080 --> 00:42:00,480
Speaker 1: and there was just no other way around it. Yeah,

725
00:42:00,480 --> 00:42:03,279
Speaker 1: they're just better sales people. Democrats are better sales people.

726
00:42:03,360 --> 00:42:05,200
Speaker 1: They're like, oh, yeah, we can read the room. That's

727
00:42:05,200 --> 00:42:07,160
Speaker 1: what we like. Will we do it? I don't know,

728
00:42:07,440 --> 00:42:11,480
Speaker 1: maybe at a very slow pace. But and then within

729
00:42:11,560 --> 00:42:14,040
Speaker 1: there you actually have the people who are there to

730
00:42:14,280 --> 00:42:16,439
Speaker 1: solve problems. And I think that's the thing I hope

731
00:42:16,440 --> 00:42:19,120
Speaker 1: more people who vote begin to see, is that there

732
00:42:19,120 --> 00:42:21,920
Speaker 1: are politicians like Mitch McConnell who are just there to

733
00:42:22,000 --> 00:42:25,080
Speaker 1: stay there and you know, be in their influential be

734
00:42:25,160 --> 00:42:28,160
Speaker 1: like the in the top eight of Uncle Sam's MySpace

735
00:42:28,200 --> 00:42:31,120
Speaker 1: page of top patriot friends of his. And then there

736
00:42:31,120 --> 00:42:33,840
Speaker 1: are people who are purely there on a mission to

737
00:42:33,960 --> 00:42:38,399
Speaker 1: create better outcomes for people. I mean, I I really

738
00:42:38,400 --> 00:42:42,680
Speaker 1: get that vibe from AOC, you know, just like, uh,

739
00:42:42,760 --> 00:42:45,960
Speaker 1: just someone like her who's got an aggressive progressive agenda.

740
00:42:46,600 --> 00:42:50,640
Speaker 1: She's not scared of these old white dudes, and she's

741
00:42:50,680 --> 00:42:52,439
Speaker 1: going to come out, you know. I think the first

742
00:42:52,440 --> 00:42:55,360
Speaker 1: step is someone who does not take corporate money. Is

743
00:42:55,400 --> 00:42:57,600
Speaker 1: the first is like the first hurdle you have to

744
00:42:57,600 --> 00:43:00,200
Speaker 1: get over to convince me you're here for the right

745
00:43:00,239 --> 00:43:03,399
Speaker 1: reasons rather than being a corporate money. I don't think

746
00:43:03,400 --> 00:43:06,120
Speaker 1: she takes black pack money. For the most part. I

747
00:43:06,120 --> 00:43:08,200
Speaker 1: feel like a lot of the progressives have sort of

748
00:43:08,239 --> 00:43:11,440
Speaker 1: sworn off that, Like you said, and that's that's well said.

749
00:43:11,480 --> 00:43:14,560
Speaker 1: That's the first step. That's that's a big first step.

750
00:43:15,440 --> 00:43:20,640
Speaker 1: I'm not bought. I'm not by bought by these corporations. Yeah, yeah, alright,

751
00:43:20,719 --> 00:43:23,480
Speaker 1: let's take a quick break and we'll be right back.

752
00:43:34,120 --> 00:43:36,840
Speaker 1: And we're back, uh and real quick, I wanted to

753
00:43:37,000 --> 00:43:41,200
Speaker 1: talk about this what what is a boring sounding headline,

754
00:43:41,719 --> 00:43:44,440
Speaker 1: but I but I think is actually pretty important and

755
00:43:44,800 --> 00:43:47,480
Speaker 1: can be somewhat easy to understand. Uh. And and a

756
00:43:47,600 --> 00:43:50,640
Speaker 1: story that we've been covering sort of on and off.

757
00:43:51,200 --> 00:43:54,520
Speaker 1: So Janet Yellen is proposing a global corporate tax rate,

758
00:43:55,040 --> 00:43:58,879
Speaker 1: which again kind of boring sounding, and because we are

759
00:43:58,920 --> 00:44:06,000
Speaker 1: accustomed to taxes being something that's intentionally aggressively complicated. So

760
00:44:06,360 --> 00:44:10,160
Speaker 1: but basically, this would attack a key way that corporations

761
00:44:10,400 --> 00:44:16,520
Speaker 1: and the extremely wealthy are making our current trajectory as

762
00:44:16,560 --> 00:44:22,200
Speaker 1: a species like unviable. They have found clever, complicated ways

763
00:44:22,239 --> 00:44:27,800
Speaker 1: to avoid paying taxes. The most wealthy are effectively stealing

764
00:44:27,840 --> 00:44:33,200
Speaker 1: from the rest of the population, and there's a certain

765
00:44:33,200 --> 00:44:36,440
Speaker 1: amount of money that needs to be spent on collectively

766
00:44:36,520 --> 00:44:42,279
Speaker 1: funded institutions and programs, and they are by by not

767
00:44:42,360 --> 00:44:45,120
Speaker 1: paying their fair share, they're making the rest of us

768
00:44:45,120 --> 00:44:48,799
Speaker 1: pay more. And so this proposed legislation would make it

769
00:44:48,880 --> 00:44:53,400
Speaker 1: so the corporations uh can't use their massive size and

770
00:44:53,480 --> 00:44:59,360
Speaker 1: influence to pressure countries to adopt loophole laden tax policies

771
00:44:59,400 --> 00:45:02,759
Speaker 1: that make them tax havens. UH. And they you know,

772
00:45:02,840 --> 00:45:05,880
Speaker 1: a lot of people have said this is an impossibility,

773
00:45:05,960 --> 00:45:10,040
Speaker 1: because how are you gonna get countries to make decisions

774
00:45:10,040 --> 00:45:13,080
Speaker 1: that are not in their financial interests. So there's some

775
00:45:13,160 --> 00:45:18,440
Speaker 1: things about incentivizing corporation cooperation by making it easier for

776
00:45:18,480 --> 00:45:21,839
Speaker 1: those countries to borrow money from the US. But yeah,

777
00:45:21,840 --> 00:45:24,040
Speaker 1: this goes back to we we talked about this book,

778
00:45:24,320 --> 00:45:26,560
Speaker 1: The Hidden Wealth of Nations that just talks about the

779
00:45:26,600 --> 00:45:32,160
Speaker 1: sheer scope of tax avoidance by massive corporations and extremely

780
00:45:32,200 --> 00:45:36,319
Speaker 1: wealthy people. And the response was like, well, how are

781
00:45:36,360 --> 00:45:39,480
Speaker 1: you gonna do any of this? And it's at least

782
00:45:39,520 --> 00:45:43,640
Speaker 1: promising that the US is going to try that. They

783
00:45:43,760 --> 00:45:45,960
Speaker 1: have enough hope to be like, all right, we'll make

784
00:45:46,040 --> 00:45:49,560
Speaker 1: everybody have this level of taxation so that Apple can't

785
00:45:49,600 --> 00:45:53,439
Speaker 1: just like park all of their corporate earnings and one

786
00:45:53,480 --> 00:45:57,799
Speaker 1: place and uh not contribute anything to the country that

787
00:45:57,880 --> 00:46:01,040
Speaker 1: made them possible. Yeah, and don't worry, it's just it's

788
00:46:01,080 --> 00:46:03,239
Speaker 1: just gonna be a fraction of what you should be

789
00:46:03,280 --> 00:46:07,680
Speaker 1: paying anyway, So don't get all torn up about it,

790
00:46:07,880 --> 00:46:09,440
Speaker 1: because at the end of the day, we're not gonna

791
00:46:09,560 --> 00:46:13,200
Speaker 1: look for real equitable taxation here. But ship when you

792
00:46:13,239 --> 00:46:15,400
Speaker 1: know nobody's paying anything, it's like, well, what what the

793
00:46:15,440 --> 00:46:18,480
Speaker 1: fun can you do? Yeah, unless it's like a global

794
00:46:18,520 --> 00:46:23,240
Speaker 1: pitchfork movement. You know, when you look at global financial restrictions,

795
00:46:23,320 --> 00:46:25,719
Speaker 1: there's often a lot of blow blacks from it, right

796
00:46:25,719 --> 00:46:29,879
Speaker 1: because like it doesn't affect all countries equally. Like rich

797
00:46:29,960 --> 00:46:33,520
Speaker 1: countries can deal with that. Poor ass countries that need

798
00:46:33,600 --> 00:46:37,120
Speaker 1: big corporations to invest in them, like for jobs and

799
00:46:37,200 --> 00:46:39,640
Speaker 1: infrastructure and stuff like that are gonna kind of be

800
00:46:39,840 --> 00:46:42,480
Speaker 1: still at the women corporations like they're gonna find ways

801
00:46:42,520 --> 00:46:46,239
Speaker 1: out of it. Now. I guess I'm definitely optimistic that

802
00:46:46,280 --> 00:46:48,680
Speaker 1: the discussion is being had, but I'm a little bit

803
00:46:49,120 --> 00:46:51,799
Speaker 1: pessimistic in terms of how it's going to sort of

804
00:46:51,840 --> 00:46:57,040
Speaker 1: affect the sort of global equity in that way. Or

805
00:46:57,120 --> 00:46:59,600
Speaker 1: look at what's Look what's happening with vaccines. Poor ass

806
00:46:59,640 --> 00:47:02,600
Speaker 1: country is right now are probably like one percent in

807
00:47:03,000 --> 00:47:07,000
Speaker 1: on their population totally vaccinated as opposed to like countries

808
00:47:07,040 --> 00:47:10,279
Speaker 1: like what you know, like US, Western Europe. Yeah, and

809
00:47:12,280 --> 00:47:14,759
Speaker 1: right that. You know, the problem is that for the

810
00:47:14,800 --> 00:47:18,840
Speaker 1: most part, it feels like the sort of reaganesque trickle

811
00:47:18,920 --> 00:47:22,479
Speaker 1: down economics is something the major corporations have been sort

812
00:47:22,480 --> 00:47:27,200
Speaker 1: of feeding the smaller countries and smaller like you know

813
00:47:27,280 --> 00:47:30,920
Speaker 1: those kind of developing yeah, developing countries that craft that.

814
00:47:30,960 --> 00:47:33,200
Speaker 1: It's like, if we if you allow us to sort

815
00:47:33,239 --> 00:47:39,680
Speaker 1: of like unregulated, unrestricted invest into your into your country,

816
00:47:39,719 --> 00:47:43,680
Speaker 1: that wealth will trickle down and it, of course it doesn't. Yeah,

817
00:47:43,719 --> 00:47:46,360
Speaker 1: you'll get to you'll get to participate in who you

818
00:47:46,400 --> 00:47:48,719
Speaker 1: get a you can get a World Bank loan if

819
00:47:48,760 --> 00:47:51,840
Speaker 1: you let us completely exploit your land, how about it?

820
00:47:52,120 --> 00:47:54,560
Speaker 1: And then you'll be so indebted to the World Bank

821
00:47:54,680 --> 00:47:57,640
Speaker 1: that when you start having socialist leaders come up, we're

822
00:47:57,640 --> 00:48:00,200
Speaker 1: gonna say you need to kill that person or make

823
00:48:00,239 --> 00:48:02,680
Speaker 1: sure they're not the leader. Because that's how the US

824
00:48:02,760 --> 00:48:05,640
Speaker 1: was fighting the Cold War in Latin America, basically because

825
00:48:05,640 --> 00:48:07,760
Speaker 1: they were like, well, funk, we're gonna we'll use debt

826
00:48:08,080 --> 00:48:13,160
Speaker 1: to try to to course more control out of developing nations, right,

827
00:48:13,239 --> 00:48:15,440
Speaker 1: and then they use that, they use that for leverage,

828
00:48:15,480 --> 00:48:20,120
Speaker 1: got arms and basically gave arms to Iraq to try

829
00:48:20,160 --> 00:48:23,160
Speaker 1: to um fight Iran in the in the in the

830
00:48:23,239 --> 00:48:26,320
Speaker 1: ward in the Iran you're off war. Here's an example

831
00:48:26,360 --> 00:48:28,920
Speaker 1: of what's kind of happened in Iran right now because

832
00:48:29,000 --> 00:48:32,279
Speaker 1: of the sanctions and whatnot. The country has oil but

833
00:48:32,360 --> 00:48:35,960
Speaker 1: can't really sell it to anybody except a few different countries.

834
00:48:36,080 --> 00:48:39,200
Speaker 1: So basically they're so desperate and now they're literally selling

835
00:48:39,200 --> 00:48:42,800
Speaker 1: off parts of the country to China, right, wow, literally

836
00:48:42,880 --> 00:48:45,960
Speaker 1: selling parts of the country of Iran to China to

837
00:48:46,080 --> 00:48:49,200
Speaker 1: pretty much do whatever they want with like to do

838
00:48:49,280 --> 00:48:54,560
Speaker 1: like resource extraction, resource extraction at least or they fully

839
00:48:54,640 --> 00:48:57,920
Speaker 1: own it. Like that's now like they're like, we've seeded

840
00:48:57,960 --> 00:49:00,600
Speaker 1: this land to this Chinese company or whatever, and now

841
00:49:00,680 --> 00:49:04,520
Speaker 1: that is whatever they're they're they're operating on. I mean,

842
00:49:05,040 --> 00:49:09,000
Speaker 1: from the knowledge I got, it sounded like they're actually

843
00:49:09,040 --> 00:49:12,600
Speaker 1: selling off like actually like give it, literally selling off

844
00:49:13,080 --> 00:49:18,560
Speaker 1: land as assets basically, or even if they're leasing that land,

845
00:49:18,560 --> 00:49:20,600
Speaker 1: they're literally letting them do whatever they want with it

846
00:49:20,960 --> 00:49:22,960
Speaker 1: and then sort of sort of paying I guess, but

847
00:49:23,560 --> 00:49:28,680
Speaker 1: I would imagine it's mainly to extract you know, resources

848
00:49:28,840 --> 00:49:33,160
Speaker 1: or whatnot. But uh, I mean yeah, and it's, uh,

849
00:49:33,600 --> 00:49:35,120
Speaker 1: it's sort of just an example of how like the

850
00:49:35,200 --> 00:49:38,320
Speaker 1: richer countries are kind of using the the poorer countries.

851
00:49:39,600 --> 00:49:40,880
Speaker 1: This is I guess, I mean, this is like a

852
00:49:40,960 --> 00:49:45,080
Speaker 1: whole government but but I guess, you know, corporations are

853
00:49:45,120 --> 00:49:47,880
Speaker 1: doing kind of the same thing. Yeah, I mean, because

854
00:49:47,920 --> 00:49:49,960
Speaker 1: I mean they're kind of the same thing at this

855
00:49:50,080 --> 00:49:54,680
Speaker 1: point right right. Yeah. One of his proposals is the

856
00:49:54,719 --> 00:49:58,040
Speaker 1: guy who wrote The Hidden Wealth of Nations is too

857
00:49:58,880 --> 00:50:02,160
Speaker 1: it's like a global a history of all assets, just

858
00:50:02,239 --> 00:50:04,839
Speaker 1: to make it so that there was there isn't just

859
00:50:04,960 --> 00:50:07,600
Speaker 1: all this money that's off the book so like we

860
00:50:07,680 --> 00:50:10,520
Speaker 1: don't know what is happening to it, which is like

861
00:50:10,560 --> 00:50:16,399
Speaker 1: one of those somewhat simple sounding ideas that made maybe like, wait,

862
00:50:16,400 --> 00:50:20,000
Speaker 1: we can do that, and according to him, yeah you can.

863
00:50:20,280 --> 00:50:24,359
Speaker 1: And you know that the news since he wrote this book,

864
00:50:24,360 --> 00:50:27,480
Speaker 1: which was about eight years ago, has been uh, you know,

865
00:50:27,520 --> 00:50:31,600
Speaker 1: inundated with all this blockchain technology and distributed ledger technology

866
00:50:31,920 --> 00:50:34,520
Speaker 1: that it seems like the more that we can get

867
00:50:34,520 --> 00:50:38,000
Speaker 1: everything above board, the harder it would be for these

868
00:50:38,040 --> 00:50:42,120
Speaker 1: corporations to do the ship that they're doing, because we'd

869
00:50:42,160 --> 00:50:44,439
Speaker 1: be able to track it. Yeah. I meanwhile, like maybe

870
00:50:44,480 --> 00:50:46,160
Speaker 1: that now it's a perfect time to like, oh, what

871
00:50:46,280 --> 00:50:50,360
Speaker 1: about Georgia though, huh everybody, Wow, that's fucked up that

872
00:50:50,440 --> 00:50:53,200
Speaker 1: voter suppression build somebody, we should do something about that.

873
00:50:53,239 --> 00:50:55,120
Speaker 1: I don't know what the text thing you're talking about is,

874
00:50:55,120 --> 00:50:56,520
Speaker 1: but I don't know if you saw what Brian Kemp

875
00:50:56,560 --> 00:50:59,920
Speaker 1: is doing when we should talk about that Alright, let's

876
00:51:00,040 --> 00:51:04,480
Speaker 1: talk about this Disney Dad and just where we're at

877
00:51:04,640 --> 00:51:12,000
Speaker 1: with our re emergence as a country into into normally. Yeah. Look,

878
00:51:12,040 --> 00:51:15,839
Speaker 1: real entry anxiety. Re entry anxiety is very real. Uh,

879
00:51:15,880 --> 00:51:18,239
Speaker 1: And we'll discuss that in a later episode, because Mark

880
00:51:18,280 --> 00:51:20,359
Speaker 1: read about him like, yep, this is uh, this is me,

881
00:51:20,440 --> 00:51:22,520
Speaker 1: this is everyone I know of just being We've been

882
00:51:22,560 --> 00:51:25,400
Speaker 1: living the last year in a very bizarre version of

883
00:51:25,440 --> 00:51:28,040
Speaker 1: the world and trying and you know a lot of

884
00:51:28,120 --> 00:51:31,520
Speaker 1: us have tried to like forcefully adapt to this like

885
00:51:31,680 --> 00:51:35,640
Speaker 1: new way of like being less social and more focused

886
00:51:35,640 --> 00:51:38,120
Speaker 1: on like surviving and just being a little more inward.

887
00:51:38,840 --> 00:51:40,480
Speaker 1: And yeah, to say, at least it's gonna be a

888
00:51:40,520 --> 00:51:43,000
Speaker 1: bit of a process getting back out there, at least

889
00:51:43,000 --> 00:51:44,759
Speaker 1: for me and some other people who are just kind

890
00:51:44,760 --> 00:51:47,080
Speaker 1: of like, well, I think I'll get overwhelmed pretty easily.

891
00:51:47,080 --> 00:51:48,640
Speaker 1: But I know I want that down the road, but

892
00:51:48,680 --> 00:51:51,160
Speaker 1: I'm not gonna be able to make that jump very quickly. Well,

893
00:51:51,719 --> 00:51:54,560
Speaker 1: there's a bat and rouge man who found out that

894
00:51:54,880 --> 00:51:57,000
Speaker 1: you know, look, he's trying to do the normal thing

895
00:51:57,360 --> 00:52:00,719
Speaker 1: of go to Disney World, you know, been trying to

896
00:52:00,840 --> 00:52:04,040
Speaker 1: recaptured going on a vacation. But when he got there,

897
00:52:04,480 --> 00:52:07,520
Speaker 1: he was a little too anxious, and he sidestepped the

898
00:52:07,560 --> 00:52:11,000
Speaker 1: temperature check at the gates at Disney World, which is

899
00:52:11,040 --> 00:52:15,000
Speaker 1: a big no no, considering that Florida is like being like, please,

900
00:52:15,120 --> 00:52:17,759
Speaker 1: we're barely trying to keep this thing together, Like, let's

901
00:52:17,800 --> 00:52:19,880
Speaker 1: try and keep some of these protocols in. So this

902
00:52:19,960 --> 00:52:24,080
Speaker 1: dude apparently just walked right in and people like chasing

903
00:52:24,080 --> 00:52:26,839
Speaker 1: after him, was refusing to have to be tested. And

904
00:52:26,880 --> 00:52:29,840
Speaker 1: this this Washington Post arcle says, amid heightened precautions for

905
00:52:29,880 --> 00:52:33,480
Speaker 1: the virus, the major Florida tourist attraction, Kelly Sells forty

906
00:52:33,520 --> 00:52:36,680
Speaker 1: seven skip the temperature screening required of guests. He was

907
00:52:36,719 --> 00:52:40,120
Speaker 1: confronted by security about it at at a Disney Springs restaurant,

908
00:52:40,239 --> 00:52:43,239
Speaker 1: the Boat House, when he yelled and refused to leave.

909
00:52:43,840 --> 00:52:45,839
Speaker 1: Mostly he was yelling, He's like, do you know how

910
00:52:45,920 --> 00:52:49,160
Speaker 1: much I paid to be here? Uh? And I'll play

911
00:52:49,239 --> 00:52:51,279
Speaker 1: this clip just so you can kind of hear this

912
00:52:51,360 --> 00:52:53,960
Speaker 1: man's voice and what he felt he was entitled to

913
00:52:54,000 --> 00:52:57,160
Speaker 1: do or not do, given that he completely sidestep the

914
00:52:57,160 --> 00:53:02,200
Speaker 1: temperature check. Let's hear the Trump supporters. Okay, so because

915
00:53:02,200 --> 00:53:06,879
Speaker 1: it's all right, they can ask you when I paid

916
00:53:06,960 --> 00:53:13,920
Speaker 1: fifteen dollars that they can take dollars with you. I

917
00:53:13,960 --> 00:53:20,600
Speaker 1: can't kick you out. He's like, all right, I respected.

918
00:53:20,719 --> 00:53:24,160
Speaker 1: He realized they're like, that's not an argument for He's like,

919
00:53:24,160 --> 00:53:27,640
Speaker 1: I do, and maybe I'm sure you did. Apparently he

920
00:53:27,640 --> 00:53:31,560
Speaker 1: came with like eight family members Airfair, hotel and ship.

921
00:53:31,640 --> 00:53:35,480
Speaker 1: That's just not cheap. But also, sir, you should know

922
00:53:35,840 --> 00:53:39,399
Speaker 1: the very least if there you can funk up your

923
00:53:39,440 --> 00:53:44,359
Speaker 1: own bag like that by trying to skirt the temperature screening. Uh.

924
00:53:44,360 --> 00:53:46,239
Speaker 1: And you're not unfor I know that a lot of

925
00:53:46,280 --> 00:53:48,719
Speaker 1: the companies are setting this example for Americans, being like,

926
00:53:48,840 --> 00:53:50,880
Speaker 1: I gave all this money. What do you mean I

927
00:53:50,920 --> 00:53:54,520
Speaker 1: can't subvert the will of the people. Um. Yeah, he

928
00:53:54,560 --> 00:53:57,960
Speaker 1: had that big energy. So he later went on the

929
00:53:58,480 --> 00:54:01,000
Speaker 1: Washington Post was interviewing him, and he was saying it

930
00:54:01,040 --> 00:54:03,600
Speaker 1: was a mix up. He said he actually like entered

931
00:54:03,640 --> 00:54:06,400
Speaker 1: through an exit or something, and he said, this is

932
00:54:06,440 --> 00:54:09,000
Speaker 1: from the Washington Post article. Could He partly blamed the

933
00:54:09,000 --> 00:54:12,440
Speaker 1: security manager for escalating the conflict and compared Disney security

934
00:54:12,560 --> 00:54:16,239
Speaker 1: to Nazis and the mafia, but also admitted he was

935
00:54:16,320 --> 00:54:18,480
Speaker 1: quote in a bit of a mood after a day

936
00:54:18,480 --> 00:54:21,560
Speaker 1: of travel. He says, COVID is a very serious thing,

937
00:54:21,920 --> 00:54:26,120
Speaker 1: but so is my vacation with my family. I don't

938
00:54:26,120 --> 00:54:28,640
Speaker 1: know which one is. Yeah, I don't know which one

939
00:54:28,680 --> 00:54:32,799
Speaker 1: is more serious. COVID kills almost six thousand people, but

940
00:54:32,920 --> 00:54:37,879
Speaker 1: on that same level, at the exact same level of importance,

941
00:54:38,160 --> 00:54:41,960
Speaker 1: is in my family going to Disney World, and I

942
00:54:42,000 --> 00:54:45,080
Speaker 1: don't think, I mean, I don't know what his intentions are. Necessarily,

943
00:54:45,080 --> 00:54:46,759
Speaker 1: I don't know where the because it's weird when you

944
00:54:46,760 --> 00:54:48,960
Speaker 1: watch that clip. There are times when like the like, yo,

945
00:54:49,080 --> 00:54:50,759
Speaker 1: just shut up, let me talk to you, like, yeah,

946
00:54:50,840 --> 00:54:52,239
Speaker 1: I got you, I got you, and I know you're right,

947
00:54:52,280 --> 00:54:54,239
Speaker 1: You're right, You're right. I don't know if it's like

948
00:54:54,640 --> 00:54:56,480
Speaker 1: he could be evil. He might not be. But what

949
00:54:56,560 --> 00:54:59,600
Speaker 1: I definitely see is like a stressed out person thinking

950
00:55:00,040 --> 00:55:02,520
Speaker 1: the ship was normal again and when like this new

951
00:55:02,680 --> 00:55:05,319
Speaker 1: normal wasn't normal, and that like he had to wear

952
00:55:05,360 --> 00:55:07,839
Speaker 1: a mask and still get a temperature check, Like he's like,

953
00:55:08,000 --> 00:55:10,839
Speaker 1: what the I can I I could see on one

954
00:55:11,040 --> 00:55:13,040
Speaker 1: sense of being frazzled, but I'm not saying, you know,

955
00:55:13,120 --> 00:55:16,080
Speaker 1: that's just right to skirt the temperature check. I like

956
00:55:16,160 --> 00:55:18,239
Speaker 1: the way that it ended with him being like, will

957
00:55:18,239 --> 00:55:20,520
Speaker 1: you take my temperature before you kick me out? Please?

958
00:55:21,120 --> 00:55:23,160
Speaker 1: And they're like, oh, yeah, no, we'll we'll do that

959
00:55:23,239 --> 00:55:26,239
Speaker 1: at the jail. And he was like, oh, okay, that's good. Yeah,

960
00:55:26,440 --> 00:55:29,719
Speaker 1: that's right. The last line is taking one more time.

961
00:55:29,880 --> 00:55:31,879
Speaker 1: Maybe he wanted a shot at redemptions, like, okay, i'll comply,

962
00:55:31,920 --> 00:55:35,520
Speaker 1: I'll comply. I'll comply. They're like, yeah, fam at the jail. Well,

963
00:55:35,600 --> 00:55:37,080
Speaker 1: I know it's too late, but can you at least

964
00:55:37,160 --> 00:55:38,680
Speaker 1: let me know ify the fever or not, because I

965
00:55:38,719 --> 00:55:41,600
Speaker 1: really don't feel good. I don't feel like that right now.

966
00:55:42,239 --> 00:55:45,239
Speaker 1: I'm very sick. I'm very sick. I've been coughing dry cough.

967
00:55:45,680 --> 00:55:49,440
Speaker 1: The thing is, I just I'm sorry. I just automatically

968
00:55:49,440 --> 00:55:52,680
Speaker 1: assumed this guy as a Trump supporter. But I mean,

969
00:55:52,719 --> 00:55:55,279
Speaker 1: I've seen, I've seen, I've I know people who are

970
00:55:55,280 --> 00:55:57,560
Speaker 1: Democrats who are acting dumb as fun with this ship,

971
00:55:57,640 --> 00:55:59,759
Speaker 1: and I'm very disappointed. And I think it at the

972
00:55:59,800 --> 00:56:02,280
Speaker 1: end of the day, I start those sort of partisan

973
00:56:02,320 --> 00:56:05,719
Speaker 1: divides blur a bit because while there are motivations very

974
00:56:05,719 --> 00:56:08,440
Speaker 1: specifically for conservative people, I see people who just like

975
00:56:08,560 --> 00:56:11,560
Speaker 1: have lived in a world that has not necessarily been

976
00:56:11,640 --> 00:56:14,920
Speaker 1: very turbulent for them or filled with consequences. So it's

977
00:56:14,960 --> 00:56:17,760
Speaker 1: easy to look at this situation, get to this point

978
00:56:17,800 --> 00:56:19,799
Speaker 1: without being ill or something like no, I'm doing this.

979
00:56:19,840 --> 00:56:21,799
Speaker 1: Oh yeah, I'm going over here. I'm gonna do like

980
00:56:21,880 --> 00:56:24,799
Speaker 1: it's this On some level, there's like this feeling of

981
00:56:24,800 --> 00:56:27,439
Speaker 1: like trying to feel like I'm like I'll be okay,

982
00:56:27,480 --> 00:56:29,759
Speaker 1: I'll be okay, sort of denial of your own mortality

983
00:56:29,760 --> 00:56:31,439
Speaker 1: in some sense. You know what, man, you just taught

984
00:56:31,480 --> 00:56:33,400
Speaker 1: me something right now. I want to thank you. It

985
00:56:33,440 --> 00:56:36,719
Speaker 1: doesn't matter what side of the aisle you're on, you

986
00:56:36,760 --> 00:56:41,040
Speaker 1: could still you could still act like a selfish, irrational person,

987
00:56:41,080 --> 00:56:43,040
Speaker 1: which he what's what he was doing. It's like, yeah,

988
00:56:43,360 --> 00:56:45,279
Speaker 1: first of all, your kids are there. In front of

989
00:56:45,280 --> 00:56:48,719
Speaker 1: your kids, you're basically saying no. Depending on what mood

990
00:56:48,760 --> 00:56:50,880
Speaker 1: I'm in, I don't have to follow the rules, And

991
00:56:50,920 --> 00:56:53,560
Speaker 1: I could throw a fit a growing adult throw a

992
00:56:53,600 --> 00:56:55,880
Speaker 1: fit in front of other growing adults, because I mean, bro,

993
00:56:55,960 --> 00:56:58,319
Speaker 1: we're all waiting in line for the same ship. We're

994
00:56:58,400 --> 00:57:00,719
Speaker 1: all doing the same ship. None of us want to

995
00:57:00,719 --> 00:57:03,600
Speaker 1: wear masks. Yeah, none of us want to like get

996
00:57:03,680 --> 00:57:06,160
Speaker 1: up temperature check before you go into it. So it's

997
00:57:06,160 --> 00:57:09,480
Speaker 1: just like it's a level of selfish and a lot

998
00:57:09,520 --> 00:57:11,520
Speaker 1: of it has to do, I think, with the mentality

999
00:57:11,560 --> 00:57:14,279
Speaker 1: in this country in general, like the capitalist mental me

1000
00:57:14,440 --> 00:57:17,760
Speaker 1: me me, no, me, my comfort, that's my comfort. My

1001
00:57:17,800 --> 00:57:19,760
Speaker 1: family is come, what do do you mean them? No? Fuck them.

1002
00:57:19,800 --> 00:57:22,720
Speaker 1: I don't know them and I don't owe them ship. Yeah, well,

1003
00:57:23,000 --> 00:57:25,120
Speaker 1: nobody ever gave me nothing, nobody ever cared about you know,

1004
00:57:25,560 --> 00:57:29,600
Speaker 1: they actually did. You're not acknowledging you know all the

1005
00:57:29,800 --> 00:57:32,440
Speaker 1: just it just it's selfish. It's selfish, like these same

1006
00:57:32,480 --> 00:57:34,120
Speaker 1: people that I'm on a plane and I don't want

1007
00:57:34,120 --> 00:57:36,600
Speaker 1: to wear a mask? What none of us want to wear?

1008
00:57:36,720 --> 00:57:39,560
Speaker 1: Marits bro. Yeah, well in the sense yeah, yeah, you're like,

1009
00:57:40,160 --> 00:57:42,840
Speaker 1: this isn't a situation anyone wants to be in. Of course,

1010
00:57:44,280 --> 00:57:46,480
Speaker 1: this is how at the very least, the people who

1011
00:57:46,480 --> 00:57:48,400
Speaker 1: are good enough to this is their job to have

1012
00:57:48,440 --> 00:57:51,080
Speaker 1: to be stuck on this thing with us to keep

1013
00:57:51,120 --> 00:57:54,160
Speaker 1: them safe. Other people saying it's like, but you know,

1014
00:57:54,200 --> 00:57:57,440
Speaker 1: I think there's just no um, it's it's an unfortunate thing.

1015
00:57:57,480 --> 00:58:00,000
Speaker 1: Like I said, Yeah, it doesn't really matter ideologically because

1016
00:58:00,080 --> 00:58:02,520
Speaker 1: is this will reveal a lot about who you are

1017
00:58:02,560 --> 00:58:05,760
Speaker 1: in general. And I think again, I think people who

1018
00:58:05,800 --> 00:58:08,200
Speaker 1: That's why you see a lot of people who identify

1019
00:58:08,240 --> 00:58:11,280
Speaker 1: as Democrats who aren't really ship anyway. They're just also

1020
00:58:11,320 --> 00:58:13,280
Speaker 1: good at reading the room. They're like, oh, funk that

1021
00:58:13,360 --> 00:58:15,480
Speaker 1: if I choose that's I, nobody don't talk to me

1022
00:58:15,520 --> 00:58:18,880
Speaker 1: at least Chrisytiaguan and John Legend. Uh, they rock with

1023
00:58:18,960 --> 00:58:21,120
Speaker 1: that side. So I'll do that. Oh do I do

1024
00:58:21,160 --> 00:58:25,800
Speaker 1: I have any empathy for undocumented people or trans people

1025
00:58:26,160 --> 00:58:28,720
Speaker 1: or people of color or any other No? Not really,

1026
00:58:28,840 --> 00:58:31,120
Speaker 1: I just did this to avoid the smoke on Instagram.

1027
00:58:32,040 --> 00:58:36,120
Speaker 1: You absolutely right, whether you're progressive or you're conservative has

1028
00:58:36,160 --> 00:58:38,720
Speaker 1: nothing to do with if you're an actually a good

1029
00:58:38,760 --> 00:58:42,200
Speaker 1: decent person. You could still how many progressive quote unquote

1030
00:58:42,200 --> 00:58:44,960
Speaker 1: people do we know? Other're absolute pieces of garbage and

1031
00:58:45,360 --> 00:58:49,560
Speaker 1: selfish and people who you know, like rest in peace

1032
00:58:49,560 --> 00:58:52,760
Speaker 1: to my friend's father who was a conservative but a

1033
00:58:52,960 --> 00:58:56,720
Speaker 1: really it was the most confusing thing because was the

1034
00:58:56,760 --> 00:59:00,760
Speaker 1: most caring person to no matter who he met what was,

1035
00:59:01,320 --> 00:59:04,320
Speaker 1: but voted Republican all the time. And it was like

1036
00:59:04,360 --> 00:59:05,640
Speaker 1: hard for me to be like, well, I can't just

1037
00:59:05,680 --> 00:59:07,960
Speaker 1: write this do it off because he's never said anything

1038
00:59:08,000 --> 00:59:10,600
Speaker 1: fucked up. He's always been the most kind person never

1039
00:59:10,600 --> 00:59:13,640
Speaker 1: said anything like you know, outside of some maybe ignorant,

1040
00:59:14,120 --> 00:59:17,240
Speaker 1: like very like boomer type ship. Nothing that felt like

1041
00:59:17,320 --> 00:59:21,400
Speaker 1: across the line. It's like hateful, purely hateful rhetoric. So

1042
00:59:21,440 --> 00:59:23,480
Speaker 1: it's like wild when you just see, like, you know

1043
00:59:23,520 --> 00:59:25,080
Speaker 1: what that was coming from a time when that was

1044
00:59:25,080 --> 00:59:27,600
Speaker 1: a better brand to hop onto. But at the end

1045
00:59:27,640 --> 00:59:29,880
Speaker 1: of the day, he didn't lose his ability to be

1046
00:59:29,920 --> 00:59:34,200
Speaker 1: empathetic or you know, embrace like people that didn't look

1047
00:59:34,200 --> 00:59:36,280
Speaker 1: like him just happened to be like in the game

1048
00:59:36,360 --> 00:59:39,240
Speaker 1: of politics. He just chose this dumb fucking thing and

1049
00:59:39,240 --> 00:59:40,960
Speaker 1: I don't and we don't know why. And you know,

1050
00:59:41,080 --> 00:59:43,320
Speaker 1: I think it's the same reason you see racist as

1051
00:59:43,360 --> 00:59:46,440
Speaker 1: democrats and like what the are you doing to get

1052
00:59:46,480 --> 00:59:49,280
Speaker 1: over this? And that's why I think at the end

1053
00:59:49,320 --> 00:59:51,480
Speaker 1: of the day, we have to be able to really

1054
00:59:51,640 --> 00:59:54,000
Speaker 1: cast aside the labels and ship and it's really gonna

1055
00:59:54,040 --> 00:59:56,680
Speaker 1: boil down to are you down for other human beings

1056
00:59:56,800 --> 00:59:58,920
Speaker 1: or not. I don't care about the like, don't get

1057
00:59:58,960 --> 01:00:01,880
Speaker 1: caught up in them, like the stupidity of these like

1058
01:00:02,320 --> 01:00:05,320
Speaker 1: you know, voting like issues, like if you're an issues voter,

1059
01:00:05,520 --> 01:00:07,840
Speaker 1: more than like, I think we need to arrive at

1060
01:00:07,840 --> 01:00:09,960
Speaker 1: a place where we just need to say there is

1061
01:00:10,240 --> 01:00:11,760
Speaker 1: a lot of pain in the world, but we have

1062
01:00:11,840 --> 01:00:14,720
Speaker 1: the resources to address it. And it's just about shifting

1063
01:00:14,760 --> 01:00:17,040
Speaker 1: the way we look at things to say, like, let's

1064
01:00:17,080 --> 01:00:20,840
Speaker 1: just let's just hold each other up, because honestly, with

1065
01:00:20,960 --> 01:00:23,280
Speaker 1: climate change and these other things that are coming, we

1066
01:00:23,320 --> 01:00:25,680
Speaker 1: need to develop the skills to be able to have

1067
01:00:25,800 --> 01:00:29,160
Speaker 1: each other's back. Unfortunately, in this country those skills are

1068
01:00:29,360 --> 01:00:32,560
Speaker 1: atrophied to fuck and people do not have them. And

1069
01:00:32,400 --> 01:00:34,440
Speaker 1: it and it breaks my heart when you see other countries,

1070
01:00:34,640 --> 01:00:37,920
Speaker 1: at least on paper or culturally, be more like willing

1071
01:00:37,960 --> 01:00:40,280
Speaker 1: to sacrifice for each other and know what that's like,

1072
01:00:41,040 --> 01:00:43,760
Speaker 1: but it's it's foreign. You're right, And then you see

1073
01:00:43,800 --> 01:00:47,280
Speaker 1: what generally and generalizing never helps when you generalize that

1074
01:00:47,640 --> 01:00:50,920
Speaker 1: a certain type of group are all good of all

1075
01:00:50,960 --> 01:00:53,320
Speaker 1: good intentions, and a certain other group have bad intention

1076
01:00:53,360 --> 01:00:56,000
Speaker 1: I mean that happens to people that look like us,

1077
01:00:56,720 --> 01:00:59,480
Speaker 1: you know. But yeah, it's like then we're doing the same. Yeah,

1078
01:00:59,480 --> 01:01:03,040
Speaker 1: it's help. You gotta be able to try and you

1079
01:01:03,160 --> 01:01:05,240
Speaker 1: want to at least they're like, no, that's a nailed

1080
01:01:05,280 --> 01:01:09,160
Speaker 1: on asshole, I know that. Yeah, I'm off this and

1081
01:01:09,240 --> 01:01:11,439
Speaker 1: not that you have to take the time to understand people.

1082
01:01:11,440 --> 01:01:13,760
Speaker 1: But at the very least, no, just like we all

1083
01:01:13,800 --> 01:01:16,880
Speaker 1: have nuances and ship, every single person does. And just

1084
01:01:16,920 --> 01:01:19,560
Speaker 1: to immediately think D or are equals good or bad,

1085
01:01:19,600 --> 01:01:22,080
Speaker 1: it's like you can, We're gonna will miss so much ship.

1086
01:01:23,000 --> 01:01:25,640
Speaker 1: Its just sometimes I get so piste off, and I

1087
01:01:25,680 --> 01:01:28,320
Speaker 1: talked through my kind of anger in terms of like

1088
01:01:28,400 --> 01:01:31,440
Speaker 1: what I see quote unquote the other side doing, you know,

1089
01:01:32,000 --> 01:01:34,160
Speaker 1: And it's kind of like even my comment when I

1090
01:01:34,200 --> 01:01:36,480
Speaker 1: said earlier, where it's like a lot of times, like

1091
01:01:36,560 --> 01:01:39,400
Speaker 1: let's say Florida voters that voted Republican, it's almost like

1092
01:01:39,440 --> 01:01:41,760
Speaker 1: a part of me is like, well, you got what

1093
01:01:41,800 --> 01:01:44,000
Speaker 1: you wanted. But it's almost like they're also people, and

1094
01:01:44,080 --> 01:01:47,600
Speaker 1: it's like when you see people suffering, even if it's

1095
01:01:47,640 --> 01:01:50,360
Speaker 1: a decision they made, it's like, yeah, if you have,

1096
01:01:50,480 --> 01:01:53,080
Speaker 1: you gotta want the skills of empathy. You're like, that's

1097
01:01:53,080 --> 01:01:55,720
Speaker 1: fucked up for that. I don't want that. I don't

1098
01:01:55,720 --> 01:01:58,440
Speaker 1: want that for another person. Right, So it's like I

1099
01:01:58,520 --> 01:02:01,760
Speaker 1: get angry, then I over generalized, and then I look

1100
01:02:01,800 --> 01:02:03,800
Speaker 1: back and like, no, that's not right, you know. So

1101
01:02:04,280 --> 01:02:06,480
Speaker 1: I apologize for that statement earlier, but it's not. But

1102
01:02:06,520 --> 01:02:10,120
Speaker 1: it's that's growth, baby, that's why they show you know

1103
01:02:10,120 --> 01:02:12,680
Speaker 1: what I mean. I came on this show for a

1104
01:02:12,720 --> 01:02:15,439
Speaker 1: certain type of person, and I'm leaving a different type

1105
01:02:15,440 --> 01:02:17,800
Speaker 1: of person. You're listening to a guy who listens to

1106
01:02:17,800 --> 01:02:23,200
Speaker 1: too many podcasts. But no, it's absolutely right, and generalizing

1107
01:02:23,280 --> 01:02:27,200
Speaker 1: doesn't help any of us. Yeah, Peter, has been a

1108
01:02:27,200 --> 01:02:30,200
Speaker 1: pleasure having you, man, Thank you so much for coming on.

1109
01:02:30,720 --> 01:02:34,400
Speaker 1: Yeah so much. We find you and follow you find

1110
01:02:34,400 --> 01:02:37,240
Speaker 1: me on Instagram please uh at p Bannie p b

1111
01:02:37,440 --> 01:02:40,680
Speaker 1: A and I uh do uh you know, post a

1112
01:02:40,680 --> 01:02:42,880
Speaker 1: lot of like silly videos just sort of about like

1113
01:02:42,920 --> 01:02:46,560
Speaker 1: Iranian American culture and so and whatnot. And thank you

1114
01:02:46,600 --> 01:02:49,240
Speaker 1: so much, man, and thank you so much for having

1115
01:02:49,240 --> 01:02:52,720
Speaker 1: me any time. Hey you on TikTok Man, you on

1116
01:02:52,720 --> 01:02:56,160
Speaker 1: TikTok I'm Auntie. I don't go on it that much.

1117
01:02:56,200 --> 01:02:58,520
Speaker 1: They're not they're not giving you the algorithm with because

1118
01:02:58,560 --> 01:03:00,480
Speaker 1: I feel like your ship would be killing it on TikTok.

1119
01:03:00,520 --> 01:03:02,400
Speaker 1: I don't I don't post. I gotta post more on

1120
01:03:02,760 --> 01:03:05,760
Speaker 1: TikTok um. Maybe my ages it's coming out like it's

1121
01:03:05,800 --> 01:03:09,680
Speaker 1: like I feel like I kind of the whole TikTok

1122
01:03:09,760 --> 01:03:13,440
Speaker 1: thing doesn't appeal to me as much. Instagram almost feels

1123
01:03:13,440 --> 01:03:16,280
Speaker 1: like it's more my speed. Although there's aspects of TikTok

1124
01:03:16,320 --> 01:03:17,919
Speaker 1: that I really like, and I think it's really cool

1125
01:03:18,000 --> 01:03:21,600
Speaker 1: that people who have certain hidden talents are now able

1126
01:03:21,640 --> 01:03:24,160
Speaker 1: to show the whole world how talented us, so that

1127
01:03:24,200 --> 01:03:26,080
Speaker 1: I really love. Well. I think the great thing of

1128
01:03:26,160 --> 01:03:29,800
Speaker 1: like TikTok is especially for like, like you know, diaspora

1129
01:03:30,080 --> 01:03:33,920
Speaker 1: communities and things. They're always like no matter what country,

1130
01:03:33,920 --> 01:03:36,760
Speaker 1: it's some version of being from another country in another

1131
01:03:36,800 --> 01:03:39,400
Speaker 1: country where it's like seeing videos of like what it's

1132
01:03:39,400 --> 01:03:43,600
Speaker 1: like to be a Japanese Swede or like Japanese brit Or,

1133
01:03:43,640 --> 01:03:47,120
Speaker 1: like black knees in Japan or black knees in America,

1134
01:03:47,240 --> 01:03:49,320
Speaker 1: Like it's really interesting to see that. So I think

1135
01:03:49,360 --> 01:03:52,000
Speaker 1: a lot of your content would easily like get caught

1136
01:03:52,080 --> 01:03:53,640
Speaker 1: up in there and you don't have to do nothing different,

1137
01:03:53,720 --> 01:03:56,160
Speaker 1: just post the same ship you put on instagrams uploaded

1138
01:03:56,200 --> 01:03:59,160
Speaker 1: there and use the right hashtags and they got you. Yeah, right,

1139
01:03:59,600 --> 01:04:02,200
Speaker 1: thank you that suggestion. My brother appreciate it because I

1140
01:04:02,240 --> 01:04:05,520
Speaker 1: feel like it's truly like because it res it clearly

1141
01:04:05,560 --> 01:04:08,120
Speaker 1: resonates with the community. So like, yeah, I feel like

1142
01:04:08,160 --> 01:04:10,960
Speaker 1: that's a great pond to be in. Thank you, brother,

1143
01:04:11,000 --> 01:04:13,400
Speaker 1: Thank you so much. And is there a Twitter or

1144
01:04:13,480 --> 01:04:15,840
Speaker 1: some of the work of social media you've been enjoying.

1145
01:04:16,200 --> 01:04:18,680
Speaker 1: It was a quote that somebody had posted. I can't

1146
01:04:18,680 --> 01:04:20,240
Speaker 1: find it right now, and it was it was like

1147
01:04:20,280 --> 01:04:23,160
Speaker 1: a several days ago. It was a quote and it's

1148
01:04:23,400 --> 01:04:27,560
Speaker 1: apparently an old Mexican proverb that says they tried to

1149
01:04:27,600 --> 01:04:31,680
Speaker 1: bury us, but they didn't know we were seeds. And

1150
01:04:31,800 --> 01:04:37,480
Speaker 1: I think that's absolutely beautiful. And anybody who's like sort

1151
01:04:37,520 --> 01:04:45,880
Speaker 1: of it comes from, is from a disenfranchise group or minority,

1152
01:04:46,040 --> 01:04:49,480
Speaker 1: It's like, that's such a powerful quote that that I

1153
01:04:49,520 --> 01:04:51,200
Speaker 1: don't know. I just thought it was beautiful. I've heard

1154
01:04:51,240 --> 01:04:55,800
Speaker 1: it before years. That's the name of TAMAS podcast too.

1155
01:04:56,480 --> 01:04:59,560
Speaker 1: Oh really, yeah, they tried to bury us? Oh man,

1156
01:05:00,000 --> 01:05:02,200
Speaker 1: it's like that. And I think I heard it first

1157
01:05:02,240 --> 01:05:04,440
Speaker 1: time when he was talking about the podcast. I was like, oh,

1158
01:05:04,480 --> 01:05:06,560
Speaker 1: I hadn't heard that proverb before, but yeah, it truly

1159
01:05:06,680 --> 01:05:09,360
Speaker 1: is like it's uh, it resonates I think with any

1160
01:05:09,480 --> 01:05:14,400
Speaker 1: oppressed group. Yes, absolutely, and it's just beautiful. It's just yeah, man.

1161
01:05:14,520 --> 01:05:17,800
Speaker 1: So that's that some came that uh I saw on

1162
01:05:17,840 --> 01:05:22,120
Speaker 1: somebody's Instagram and I've been thinking about, Yeah, Miles, where

1163
01:05:22,120 --> 01:05:24,400
Speaker 1: can people find you? What's the tweet you've been enjoying?

1164
01:05:24,760 --> 01:05:29,840
Speaker 1: Oh man, Uh, let's say Twitter, Instagram, Uh, Miles of Gray,

1165
01:05:29,920 --> 01:05:32,280
Speaker 1: g R A Y. And also the other podcast four

1166
01:05:32,320 --> 01:05:37,760
Speaker 1: twenty day Fiance. Some tweets that I like. First one

1167
01:05:38,440 --> 01:05:42,880
Speaker 1: is from Moonlight at no M G but at no

1168
01:05:43,120 --> 01:05:45,600
Speaker 1: E M M E and then the letter g uh

1169
01:05:45,760 --> 01:05:48,400
Speaker 1: tweets if you think poor people should not have children,

1170
01:05:48,520 --> 01:05:50,360
Speaker 1: then you think no one should have to grow up

1171
01:05:50,360 --> 01:05:54,520
Speaker 1: in poverty. So then you agree we need to eradicate poverty.

1172
01:05:54,560 --> 01:05:57,560
Speaker 1: How about not starting at that top part? Uh, and

1173
01:05:57,640 --> 01:06:01,480
Speaker 1: we look at the root issue? And I think that's

1174
01:06:01,800 --> 01:06:04,840
Speaker 1: I love seeing tweets like this happens like more and

1175
01:06:04,920 --> 01:06:08,280
Speaker 1: more and more like where people are articulating like that

1176
01:06:08,320 --> 01:06:14,760
Speaker 1: we're completely looking at the wrong place and diagnosing problems

1177
01:06:14,960 --> 01:06:18,919
Speaker 1: and the weirdest point uh that you could so, yes,

1178
01:06:19,280 --> 01:06:21,040
Speaker 1: that's true if but you know, at the end of

1179
01:06:21,080 --> 01:06:24,280
Speaker 1: the day they would say, well, look I'm racist. I

1180
01:06:24,320 --> 01:06:26,200
Speaker 1: just said I didn't think poor people should have children.

1181
01:06:26,320 --> 01:06:28,120
Speaker 1: You got me, You got me, all right, you got

1182
01:06:28,200 --> 01:06:29,640
Speaker 1: I think a lot of these things would end with

1183
01:06:29,680 --> 01:06:31,600
Speaker 1: someone either they're gonna have to agree with that logic

1184
01:06:31,720 --> 01:06:35,200
Speaker 1: or it's gonna be like, admit, mask off racism, mask

1185
01:06:35,240 --> 01:06:38,000
Speaker 1: off racist. I'm sorry, I'm racist, y'all, and I'm not

1186
01:06:38,080 --> 01:06:40,040
Speaker 1: afraid to say it anymore because I can't pretend because

1187
01:06:40,080 --> 01:06:42,720
Speaker 1: I'm not thinking much. The second one is from Eva

1188
01:06:42,800 --> 01:06:47,680
Speaker 1: Cantor at po River jam Band tweet you could theoretically

1189
01:06:47,720 --> 01:06:56,439
Speaker 1: carbonate barbecue sauce and that fucked me up. Don't put

1190
01:06:56,480 --> 01:06:58,800
Speaker 1: that in. I don't know. I don't know if I

1191
01:06:58,880 --> 01:07:02,600
Speaker 1: want to try it, but a little fizzy barbecue dip

1192
01:07:02,640 --> 01:07:07,880
Speaker 1: your whatever. And a couple of tweets I've been enjoying.

1193
01:07:07,920 --> 01:07:11,200
Speaker 1: Aubrey Hirsch at Aubrey Hirsh tweeted me this edible is

1194
01:07:11,240 --> 01:07:14,160
Speaker 1: trash me twenty minutes later, Man, it's a good thing

1195
01:07:14,240 --> 01:07:19,320
Speaker 1: aaric see through. Our humans would be so fucked and

1196
01:07:20,000 --> 01:07:24,200
Speaker 1: Matthew at tweet Potato three fourteen tweeted why don't little

1197
01:07:24,280 --> 01:07:26,680
Speaker 1: kids ever tear their a c L? They run dumb

1198
01:07:26,720 --> 01:07:33,760
Speaker 1: as fuck? Uh that is something I was definitely identifying

1199
01:07:33,840 --> 01:07:37,080
Speaker 1: with over spring break with my kids while we were

1200
01:07:37,120 --> 01:07:41,120
Speaker 1: both trying to learn to ski and uh man, they

1201
01:07:41,160 --> 01:07:45,560
Speaker 1: were taking some big falls that damn is his leg

1202
01:07:45,600 --> 01:07:48,160
Speaker 1: gonna fall off? And he would just pop right back up,

1203
01:07:48,760 --> 01:07:54,440
Speaker 1: but I fall just a little bit. Get my leg amputated. Anyways.

1204
01:07:54,440 --> 01:07:56,880
Speaker 1: You can find me on Twitter at Jack Underscore Obrien.

1205
01:07:56,880 --> 01:07:59,080
Speaker 1: You can find us on Twitter at Daily zyg Ice

1206
01:07:59,120 --> 01:08:01,920
Speaker 1: were at the dailies, guys on Instagram. We have Facebook

1207
01:08:01,960 --> 01:08:04,560
Speaker 1: fan page and a website at least like guys dot com,

1208
01:08:04,600 --> 01:08:07,720
Speaker 1: where we post our episodes on our foot notes where

1209
01:08:07,720 --> 01:08:09,439
Speaker 1: we link off to the information that we talked about

1210
01:08:09,440 --> 01:08:12,000
Speaker 1: in today's episode, as well as a song that we

1211
01:08:12,080 --> 01:08:16,240
Speaker 1: recommend you go check out. Miles. What song are we recommending?

1212
01:08:16,840 --> 01:08:22,080
Speaker 1: Just feeling real nostalgic for TLC, but a remix from

1213
01:08:22,200 --> 01:08:25,440
Speaker 1: fan mail album, which is obviously gonna be No Scrubs,

1214
01:08:25,520 --> 01:08:28,559
Speaker 1: But this is a remix by hero h I r Oh.

1215
01:08:28,560 --> 01:08:31,759
Speaker 1: It's called the hero Love Sick edit of No Scrubs

1216
01:08:32,320 --> 01:08:35,120
Speaker 1: in the foot Rudes, but it's on the SoundCloud and

1217
01:08:35,160 --> 01:08:38,280
Speaker 1: it just got like it's it gives it a new energy.

1218
01:08:38,560 --> 01:08:40,559
Speaker 1: And I love when you could take a song that

1219
01:08:40,600 --> 01:08:45,599
Speaker 1: I'm like, don't touch that song and remixing and you're like, oh,

1220
01:08:45,680 --> 01:08:47,720
Speaker 1: ship this one, Okay, I'm not mad at it. I'm

1221
01:08:47,760 --> 01:08:49,400
Speaker 1: not mad at it, and I think that start out

1222
01:08:49,439 --> 01:08:51,519
Speaker 1: mad at it. By the end of like or you

1223
01:08:51,560 --> 01:08:53,880
Speaker 1: get mad at reading a title, you're like the with

1224
01:08:53,960 --> 01:08:56,479
Speaker 1: that song and then you realize like someone actually got

1225
01:08:56,479 --> 01:08:58,679
Speaker 1: like a clean acapella and they weren't just like playing

1226
01:08:58,680 --> 01:09:01,439
Speaker 1: a loud beat over the one, and it's like actually

1227
01:09:01,479 --> 01:09:03,639
Speaker 1: the well thought out So yes, check this one out.

1228
01:09:03,760 --> 01:09:07,680
Speaker 1: Get your toad jumping alright, well go check that out.

1229
01:09:07,720 --> 01:09:09,880
Speaker 1: The Daily zeit geis to the production of my Heart Radio.

1230
01:09:09,960 --> 01:09:12,120
Speaker 1: For more podcasts from my Heart Radio, visit the I

1231
01:09:12,160 --> 01:09:14,479
Speaker 1: Heart Radio app, Apple podcast, or wherever you listening your

1232
01:09:14,479 --> 01:09:17,360
Speaker 1: favorite shows. That is going to do it for this morning.

1233
01:09:17,400 --> 01:09:19,519
Speaker 1: We are back this afternoon to tell you what's trending.

1234
01:09:19,760 --> 01:09:21,880
Speaker 1: We'll talk to you all day by