1
00:00:00,480 --> 00:00:04,040
Speaker 1: Hello the Internet, and welcome to Season one, Episode five

2
00:00:04,080 --> 00:00:08,520
Speaker 1: of the Daily Like Guy production of My Heart Radio.

3
00:00:09,119 --> 00:00:10,840
Speaker 1: This is a podcast where we take a deep dive

4
00:00:10,880 --> 00:00:16,400
Speaker 1: into America's share consciousness. It is Friday, April one. My

5
00:00:16,520 --> 00:00:20,439
Speaker 1: name is Jack O'Brien, a k never working too hard.

6
00:00:20,520 --> 00:00:26,560
Speaker 1: My name is Jack Ak. You ought to know by now. Yeah,

7
00:00:26,680 --> 00:00:31,240
Speaker 1: and he's trading in his chevy. My name's Jack at Deck.

8
00:00:31,360 --> 00:00:34,320
Speaker 1: You ought to know by now. Let's courtesy of Billy

9
00:00:34,400 --> 00:00:38,280
Speaker 1: Joel and my Stupid Brain. And I'm thrilled to be

10
00:00:38,440 --> 00:00:42,879
Speaker 1: joined as always by my co host, Mr Miles Grass.

11
00:00:44,560 --> 00:00:46,040
Speaker 1: Just taking it back a little. Let just get a

12
00:00:46,040 --> 00:00:48,319
Speaker 1: little emotional really quick, because I know, Jackie, you thought

13
00:00:48,360 --> 00:00:51,600
Speaker 1: about going to New York City. I did. I just

14
00:00:51,640 --> 00:00:57,560
Speaker 1: want to tell you to rethink that. Hey there, jack Ob,

15
00:00:57,880 --> 00:01:01,040
Speaker 1: please don't move to New York City. Those bike lean

16
00:01:01,240 --> 00:01:06,720
Speaker 1: zone exists yet and their governory shitty. Yes it's true.

17
00:01:07,959 --> 00:01:12,280
Speaker 1: Oh miss pot Tushy reads with you and talking to

18
00:01:14,040 --> 00:01:21,200
Speaker 1: said uh. We're hosting t d Z. We're hosting t

19
00:01:21,480 --> 00:01:28,400
Speaker 1: d Z. Shout out to the Brew on discord. Shout

20
00:01:28,400 --> 00:01:32,520
Speaker 1: out tomorrow from Plain White Teas who I knows follows

21
00:01:32,600 --> 00:01:36,760
Speaker 1: the show. I see that's what that's I've never saying

22
00:01:36,880 --> 00:01:40,720
Speaker 1: e A k A potentially had the artists involved to hear.

23
00:01:40,800 --> 00:01:44,320
Speaker 1: So if tomorrow you're listening, shout out to you, Yeah

24
00:01:44,640 --> 00:01:50,280
Speaker 1: you didn't know TLC listens Chili and uh yeah bos

25
00:01:50,280 --> 00:01:54,320
Speaker 1: still still ze gang for I don't know pop to mind.

26
00:01:54,360 --> 00:01:57,960
Speaker 1: I don't have we done with them? That was your

27
00:01:58,000 --> 00:02:00,680
Speaker 1: when you're like, I hope Chili and Tepa listen to

28
00:02:01,040 --> 00:02:05,280
Speaker 1: LSE and Billy Joel also a big zec. Yeah, though

29
00:02:05,360 --> 00:02:07,400
Speaker 1: he always emails us and he's like, guys, I don't

30
00:02:07,440 --> 00:02:10,760
Speaker 1: get what you guys are talking about ever, and we're like, yeah,

31
00:02:10,760 --> 00:02:13,560
Speaker 1: don't worry about it's not for you. Yeah, he's super drunk,

32
00:02:14,639 --> 00:02:17,600
Speaker 1: but one of my favorite comedians. His uh, his in

33
00:02:17,680 --> 00:02:23,800
Speaker 1: between song uh drunken ramblings got him. I think he

34
00:02:23,800 --> 00:02:27,080
Speaker 1: he came to my college when I was still there

35
00:02:27,240 --> 00:02:30,560
Speaker 1: and it was like an infamous disaster where he was

36
00:02:30,600 --> 00:02:33,120
Speaker 1: like so drunk and just like I spent the whole

37
00:02:33,160 --> 00:02:37,680
Speaker 1: time talking like the songs. Um yeah. Shout out to

38
00:02:37,680 --> 00:02:44,280
Speaker 1: Billy Joel Okay, Billy, Billy, Billy fucking Billy, to Rosie

39
00:02:44,280 --> 00:02:47,480
Speaker 1: Press forgiving us that way of saying Billy two great

40
00:02:47,560 --> 00:02:53,359
Speaker 1: first names, Billy and Joel. Yeah, yeah, uh he doubles up.

41
00:02:54,040 --> 00:02:58,320
Speaker 1: All right, Miles, we are thrilled. We are fortunate to

42
00:02:58,440 --> 00:03:01,000
Speaker 1: be joined in our third seat by the brilliant, the

43
00:03:01,160 --> 00:03:08,000
Speaker 1: talented Tory Williams Douglass. Oh my god, thank you you guys.

44
00:03:08,040 --> 00:03:14,200
Speaker 1: I'm so excited for coming back, you know, I'm so flattered. Oh,

45
00:03:14,400 --> 00:03:18,280
Speaker 1: it's it takes one apparent's window. We said toward. It's

46
00:03:18,280 --> 00:03:20,640
Speaker 1: a regular it's a regular thing now. And you even

47
00:03:20,680 --> 00:03:23,320
Speaker 1: you're traveling and you still found time. You're where are

48
00:03:23,320 --> 00:03:28,079
Speaker 1: you right now? I'm in I'm in Minneapolis right now. Yeah.

49
00:03:28,200 --> 00:03:32,120
Speaker 1: By coincidence or because of the verdict, Um, I was coming.

50
00:03:32,280 --> 00:03:34,400
Speaker 1: I was planning on coming here. I didn't know that

51
00:03:34,400 --> 00:03:36,320
Speaker 1: the verdict would I thought that the verdict would be.

52
00:03:37,040 --> 00:03:39,000
Speaker 1: I thought that they were going to deliberate for the

53
00:03:39,080 --> 00:03:43,200
Speaker 1: long ast time, and they currently didn't. So we all

54
00:03:43,240 --> 00:03:47,840
Speaker 1: saw that video, okay, but like the New York Times

55
00:03:47,840 --> 00:03:50,440
Speaker 1: said that one of the women on the like one

56
00:03:50,480 --> 00:03:56,120
Speaker 1: of the jurors is like some all lives matter, bullshit whatever,

57
00:03:56,480 --> 00:03:58,160
Speaker 1: and I was just I was like, I don't feel

58
00:03:58,200 --> 00:04:02,000
Speaker 1: like this is necessarily going to go well. So yeah,

59
00:04:02,440 --> 00:04:04,640
Speaker 1: even before that, I was like, this is a trial

60
00:04:04,720 --> 00:04:07,600
Speaker 1: involving a white officer killing a black man. I'm like,

61
00:04:07,720 --> 00:04:10,760
Speaker 1: this is not going to go well. But I think

62
00:04:11,040 --> 00:04:15,440
Speaker 1: the weird form of relief that everyone felt was very odd.

63
00:04:15,560 --> 00:04:18,200
Speaker 1: What was it? How was it like being there when

64
00:04:18,200 --> 00:04:24,080
Speaker 1: that happened? I mean, I like people were tense at first,

65
00:04:24,240 --> 00:04:26,359
Speaker 1: I think, and then everybody was like, it took a

66
00:04:26,360 --> 00:04:29,760
Speaker 1: minutes of process, right, it took. It took everybody in

67
00:04:29,800 --> 00:04:31,840
Speaker 1: a minute, like we all it was like, oh my god,

68
00:04:32,240 --> 00:04:36,800
Speaker 1: like that it actually actually happened. We could actually right.

69
00:04:37,680 --> 00:04:40,039
Speaker 1: And then of course everybody was like, well, this is

70
00:04:40,080 --> 00:04:44,760
Speaker 1: not proof that the system works and it's not everything

71
00:04:44,760 --> 00:04:50,080
Speaker 1: sucks everything. So we're good here energy Uh yeah, we won.

72
00:04:51,360 --> 00:04:59,040
Speaker 1: We won one round about we want God, were there

73
00:04:59,040 --> 00:05:02,400
Speaker 1: people who knew before other people, because like I feel

74
00:05:02,480 --> 00:05:06,200
Speaker 1: like l l A shut down, Like it seems like

75
00:05:06,400 --> 00:05:10,480
Speaker 1: la knew a verdict was coming the l A City.

76
00:05:10,600 --> 00:05:12,560
Speaker 1: I don't know police, I I mean, well they knew

77
00:05:12,560 --> 00:05:16,400
Speaker 1: the day before, right that they would begin deliberate. I

78
00:05:16,400 --> 00:05:18,600
Speaker 1: don't know. Yeah, I don't know if that's like on police,

79
00:05:18,800 --> 00:05:20,720
Speaker 1: like they all have like their own like social media.

80
00:05:20,760 --> 00:05:23,159
Speaker 1: They're like, hey, y'all, you guys have an eye on

81
00:05:23,200 --> 00:05:27,120
Speaker 1: your angry. We already know how it's gonna go, you know,

82
00:05:27,200 --> 00:05:31,120
Speaker 1: the governor or, like the state legislature here in Minnesota

83
00:05:31,800 --> 00:05:34,159
Speaker 1: satisfied like nine million dollars or something for the National

84
00:05:34,160 --> 00:05:36,760
Speaker 1: Guard because so I don't think that they knew how

85
00:05:36,760 --> 00:05:39,520
Speaker 1: it was going to go at all, right, Oh yeah,

86
00:05:39,520 --> 00:05:41,359
Speaker 1: for sure, they didn't know how it was going to go.

87
00:05:41,440 --> 00:05:44,320
Speaker 1: I think they were, And it's more just that the

88
00:05:44,400 --> 00:05:46,640
Speaker 1: preemptive They're like, oh, y'all got set up there for

89
00:05:46,680 --> 00:05:48,560
Speaker 1: that real quick when you found out there was going

90
00:05:48,600 --> 00:05:52,799
Speaker 1: to be a verdict being read right, Yeah, yeah, yeah,

91
00:05:52,920 --> 00:05:54,839
Speaker 1: they're like, what the funk? I think one of the

92
00:05:55,000 --> 00:05:58,480
Speaker 1: robots from Pacific RIM came out from the fucking Santa

93
00:05:58,520 --> 00:06:01,880
Speaker 1: Monica appear to like the people of the city just

94
00:06:01,920 --> 00:06:04,200
Speaker 1: in case. I'm like, where did y'all get that? They're like, oh,

95
00:06:04,200 --> 00:06:10,360
Speaker 1: our new budgetsific, No, no new budgets, no police name budgets. No,

96
00:06:10,640 --> 00:06:13,560
Speaker 1: you guys don't do your jobs already. Okay, here's an idea.

97
00:06:13,600 --> 00:06:17,440
Speaker 1: Here's an idea. Rather than police a gigantic fucking robot

98
00:06:17,560 --> 00:06:20,280
Speaker 1: that could destroy an entire city, is the police just

99
00:06:20,360 --> 00:06:25,080
Speaker 1: one right, but randomly steps on people? So there's that

100
00:06:25,320 --> 00:06:29,440
Speaker 1: like lottery thing where people just are randomly sacrificed for

101
00:06:29,480 --> 00:06:31,160
Speaker 1: the good of the cape. But then there's only one

102
00:06:31,240 --> 00:06:34,120
Speaker 1: no logic. Yeah, I don't know. Yeah, anyway, I don't know.

103
00:06:34,240 --> 00:06:36,920
Speaker 1: This is like very Godzilla. E to me, what's like

104
00:06:37,160 --> 00:06:44,280
Speaker 1: mac Godzilla whatever. Yeah, that's how I feel about that.

105
00:06:45,320 --> 00:06:49,600
Speaker 1: I'm about a lot of destruction. So the way through,

106
00:06:49,800 --> 00:06:53,720
Speaker 1: uh Congress Godzilla, So I am an expert on what

107
00:06:53,800 --> 00:06:56,400
Speaker 1: you speak of and the two fits of the way,

108
00:06:56,800 --> 00:07:01,880
Speaker 1: two fists of the way almost there. Almost to my kids,

109
00:07:01,320 --> 00:07:03,479
Speaker 1: I was like, you have to leave, like you have

110
00:07:03,560 --> 00:07:06,320
Speaker 1: to go right now. Sending them out of the room.

111
00:07:06,440 --> 00:07:08,760
Speaker 1: Was like, I need to watch this. Well. I started

112
00:07:08,760 --> 00:07:14,480
Speaker 1: watching MANC and I couldn't get through. I watched movies

113
00:07:14,520 --> 00:07:19,560
Speaker 1: mainly while I'm running on the treadmill, and like, you

114
00:07:19,600 --> 00:07:23,440
Speaker 1: know what would get me ready for a good run? MANK, MANK,

115
00:07:23,520 --> 00:07:27,440
Speaker 1: you'd really pumped me up. It was not good. Uh.

116
00:07:27,480 --> 00:07:33,040
Speaker 1: It's it's that uh, like you know, celebration of white

117
00:07:33,080 --> 00:07:37,600
Speaker 1: privilege type attitude where this dude's just like I'm drunk

118
00:07:37,640 --> 00:07:41,440
Speaker 1: all the time. I've gotten like all these amazing jobs

119
00:07:41,520 --> 00:07:44,600
Speaker 1: that should have gone to people who aren't white men.

120
00:07:44,680 --> 00:07:48,240
Speaker 1: Necessarily or who have earned something or have ideas, and

121
00:07:48,440 --> 00:07:50,880
Speaker 1: I just stay drunk all the time and do nothing.

122
00:07:51,440 --> 00:07:54,000
Speaker 1: Um ha ha, but I'm but I say clever stuff.

123
00:07:54,480 --> 00:07:57,640
Speaker 1: Um I was. I was out on mank pretty quickly

124
00:07:57,840 --> 00:08:02,800
Speaker 1: converse Godzilla though, pretty pretty cool, pretty cool, man. I

125
00:08:02,800 --> 00:08:05,920
Speaker 1: gotta still watch it, Yeah, I want to watch it.

126
00:08:05,960 --> 00:08:08,080
Speaker 1: I watched it the way it's intended to be watched

127
00:08:08,600 --> 00:08:12,040
Speaker 1: on a phone while the Sixers game was going on

128
00:08:12,120 --> 00:08:17,000
Speaker 1: in the background. Yeah, so like watching maybe a third

129
00:08:17,480 --> 00:08:21,000
Speaker 1: of the frames of the quarter of the movie that

130
00:08:21,040 --> 00:08:25,880
Speaker 1: I've actually watched. So yeah, how does your brain still operate?

131
00:08:25,920 --> 00:08:29,800
Speaker 1: Like splitting the attention in so many different directions, because

132
00:08:29,840 --> 00:08:33,439
Speaker 1: like I get too stressed out just watching the Sixers play,

133
00:08:34,080 --> 00:08:44,440
Speaker 1: especially without yeah, just watching right right watching people get stomped. Anyways,

134
00:08:45,040 --> 00:08:47,840
Speaker 1: what a cast by the way, Congress, Godzilla, that's where

135
00:08:48,240 --> 00:08:52,040
Speaker 1: where the acting talent is going, is uh yeah, to

136
00:08:52,720 --> 00:08:56,200
Speaker 1: just be like I think the center of the earth

137
00:08:56,280 --> 00:08:59,520
Speaker 1: is hollow. That's a that's a big don't need more

138
00:08:59,720 --> 00:09:03,959
Speaker 1: they don't need more motivation, inspiration. This is number This

139
00:09:04,040 --> 00:09:09,480
Speaker 1: is the best propaganda hollow Arthur's ahead since ever ever,

140
00:09:09,720 --> 00:09:13,720
Speaker 1: Like mainstream, Like there was a president who was trying

141
00:09:13,800 --> 00:09:16,680
Speaker 1: to fund a literal journey to the center of the earth.

142
00:09:16,960 --> 00:09:20,480
Speaker 1: But that was I think, I think Reagan. No, it

143
00:09:20,640 --> 00:09:24,440
Speaker 1: was Actually it's like turn of the century, like early

144
00:09:24,640 --> 00:09:30,400
Speaker 1: twentieth century. We gotta get to the bottom. I'm just saying,

145
00:09:30,440 --> 00:09:32,559
Speaker 1: you have you been down there? You don't know? Have

146
00:09:32,679 --> 00:09:35,160
Speaker 1: you seen? Have you thought the old people with your parents?

147
00:09:35,360 --> 00:09:38,440
Speaker 1: Because my uncle has and he doesn't lie. There's also

148
00:09:38,480 --> 00:09:41,719
Speaker 1: a sun down there, apparently. Yeah, it has its own,

149
00:09:41,880 --> 00:09:44,280
Speaker 1: it has its own I love that. I love the

150
00:09:44,480 --> 00:09:47,760
Speaker 1: science of whatever that is. There's also a sun down there?

151
00:09:48,480 --> 00:09:54,800
Speaker 1: Is there? All right, Tory, We're going to get to

152
00:09:54,880 --> 00:09:56,800
Speaker 1: know you a little bit better in a moment. First,

153
00:09:56,840 --> 00:09:58,680
Speaker 1: we're gonna tell our listeners a couple of the things

154
00:09:58,720 --> 00:10:02,680
Speaker 1: we're talking about. We're going to talk about the brave

155
00:10:03,320 --> 00:10:08,280
Speaker 1: North Dakota governor who vetoed his state's anti trans bill

156
00:10:08,920 --> 00:10:12,959
Speaker 1: um and why he decided to find courage all of

157
00:10:13,040 --> 00:10:15,480
Speaker 1: a sudden. We'll talk about it wasn't the threat of lawsuits.

158
00:10:15,679 --> 00:10:20,079
Speaker 1: We'll just wasn't that. Yeah, it's just his who he is,

159
00:10:21,400 --> 00:10:26,280
Speaker 1: his internal sense of justice. He's a Republican, come on,

160
00:10:26,559 --> 00:10:29,800
Speaker 1: ck scrash that scrash. But also I mean, who knows,

161
00:10:29,840 --> 00:10:33,520
Speaker 1: and in this day and age, who knows. Really, bucks

162
00:10:33,559 --> 00:10:35,559
Speaker 1: are all on the kind of the same They're just

163
00:10:35,600 --> 00:10:38,760
Speaker 1: on different parts of the same fund up page. Uh.

164
00:10:38,880 --> 00:10:42,839
Speaker 1: We'll talk about a legend from Italy. Let's just leave

165
00:10:42,880 --> 00:10:47,959
Speaker 1: it at that, Italian legends, Yeah, achieved greatness. And what

166
00:10:48,120 --> 00:10:50,840
Speaker 1: we'll talk about how they want about that. We'll talk

167
00:10:50,880 --> 00:10:54,560
Speaker 1: about the IOC UH, not the group of stand up

168
00:10:54,600 --> 00:10:58,800
Speaker 1: individuals that we always thought literally they're banning kneeling and

169
00:10:58,880 --> 00:11:02,040
Speaker 1: other protests at the Kyo Games. We will talk about

170
00:11:02,280 --> 00:11:07,920
Speaker 1: just kind of ongoing. I wanna look at alternatives to

171
00:11:08,240 --> 00:11:10,679
Speaker 1: the current version of policing. I want to look at

172
00:11:10,760 --> 00:11:16,120
Speaker 1: this UH program in Eugene and take another look at

173
00:11:16,160 --> 00:11:19,840
Speaker 1: the Camden police abolition because that story is a little

174
00:11:19,840 --> 00:11:23,520
Speaker 1: bit more complicated than people think, but kind of still

175
00:11:23,600 --> 00:11:26,679
Speaker 1: makes the same point that we should abolish and replace

176
00:11:27,000 --> 00:11:30,319
Speaker 1: the police. But before we get to any of that tory,

177
00:11:30,440 --> 00:11:33,120
Speaker 1: we like to ask our guest, what is something from

178
00:11:33,160 --> 00:11:36,760
Speaker 1: your search history that's revealing about who you are? Um? Okay,

179
00:11:36,800 --> 00:11:38,760
Speaker 1: So my entire search history today has been trying to

180
00:11:38,800 --> 00:11:41,839
Speaker 1: figure out my technology. I don't know why, but like

181
00:11:42,000 --> 00:11:48,440
Speaker 1: none of my ship works, like apparently like laptop, headphones, Mike,

182
00:11:49,480 --> 00:11:51,599
Speaker 1: it's just all in the front. So today I'm just

183
00:11:51,800 --> 00:11:55,160
Speaker 1: on the technology struggle bus and I believe I will

184
00:11:55,200 --> 00:11:58,280
Speaker 1: probably remain here for the duration of my trip. Well

185
00:11:58,320 --> 00:12:02,040
Speaker 1: we sorted it though, so we're okay. Yeah, yeah, yeah,

186
00:12:02,200 --> 00:12:04,320
Speaker 1: it was it was. It was a TTS like magic

187
00:12:04,480 --> 00:12:08,240
Speaker 1: that helps it happen. That's really what pulled it was

188
00:12:08,280 --> 00:12:11,160
Speaker 1: all of us collectively being silent, panicking like I don't know,

189
00:12:11,240 --> 00:12:18,600
Speaker 1: maybe they started happened. I don't know, like maybe, yeah,

190
00:12:18,800 --> 00:12:22,040
Speaker 1: So that's me in a nutshell. Do you have do

191
00:12:22,120 --> 00:12:24,680
Speaker 1: you have a technology ghost like that follows you around?

192
00:12:24,840 --> 00:12:26,880
Speaker 1: Do you have tech tech issues? We have we have

193
00:12:27,040 --> 00:12:29,800
Speaker 1: a I'm not going to say who, but what. One

194
00:12:29,840 --> 00:12:32,440
Speaker 1: of the hosts of one of the shows on our

195
00:12:33,280 --> 00:12:36,280
Speaker 1: Out of our Studio like literally believes they have a

196
00:12:36,320 --> 00:12:40,439
Speaker 1: technology ghost, and then our experience with them has suggested

197
00:12:40,520 --> 00:12:44,000
Speaker 1: it's probably not a technology ghost as much as them

198
00:12:44,160 --> 00:12:47,839
Speaker 1: being bad at technology. But um, isn't that kind of

199
00:12:47,920 --> 00:12:50,120
Speaker 1: the same thing though, You're just wanted by the fact

200
00:12:50,200 --> 00:12:52,760
Speaker 1: that you don't know what the hell you are doing. Yeah,

201
00:12:53,040 --> 00:12:57,640
Speaker 1: And I've had that before, where like I am immediately

202
00:12:57,880 --> 00:13:01,240
Speaker 1: like on guard and every time something beat something goes

203
00:13:01,320 --> 00:13:04,280
Speaker 1: wrong with a piece of technology. I'm like, this fucking

204
00:13:04,400 --> 00:13:09,000
Speaker 1: thing again, you know this ghost? So damn ghost? How

205
00:13:09,040 --> 00:13:12,079
Speaker 1: are we such boomers already? You guys, Like, what the hell?

206
00:13:15,360 --> 00:13:20,400
Speaker 1: Well other than that, right right, Well, it's because I

207
00:13:20,520 --> 00:13:29,920
Speaker 1: was born in four was Oh my god, my dad

208
00:13:30,559 --> 00:13:33,719
Speaker 1: worked for Apple for like over a decade, and so

209
00:13:34,000 --> 00:13:37,679
Speaker 1: I'm like, I'm used to having like stand by tech assistance,

210
00:13:37,800 --> 00:13:41,520
Speaker 1: like a phone call. Oh wow, you have the reverse

211
00:13:43,000 --> 00:13:46,959
Speaker 1: of everybody else where. You call your parents for tech support.

212
00:13:47,040 --> 00:13:52,040
Speaker 1: The tech Casper, the friendly ghost Casper, the friendly ghost

213
00:13:52,880 --> 00:13:59,600
Speaker 1: O my dad? Uh, Tori, what is something you think

214
00:13:59,679 --> 00:14:03,920
Speaker 1: is berated? Something that I think is overrated? Right now? Um,

215
00:14:04,640 --> 00:14:07,160
Speaker 1: I'm really I'm really starggling with this because I'm just

216
00:14:07,360 --> 00:14:10,319
Speaker 1: I'm in such a bad dark spot with all of

217
00:14:10,360 --> 00:14:14,600
Speaker 1: the policing. So I'm gonna say policing, no, that's overrated.

218
00:14:15,320 --> 00:14:18,439
Speaker 1: It's like, okay, so I'm sure you talked about this,

219
00:14:18,679 --> 00:14:22,120
Speaker 1: but like the Capital police requested like a a jillion

220
00:14:22,560 --> 00:14:28,040
Speaker 1: more dollars because their tech, hey again, is not up

221
00:14:28,080 --> 00:14:31,320
Speaker 1: to part and that's the reason why the insurrection happened,

222
00:14:31,400 --> 00:14:34,280
Speaker 1: and all of their like miney bullshit excuses and I'm

223
00:14:34,320 --> 00:14:36,880
Speaker 1: just not here for any of that, and like who

224
00:14:36,960 --> 00:14:41,000
Speaker 1: else gets to say I suck at my job objectively?

225
00:14:41,080 --> 00:14:43,760
Speaker 1: Like please look at my data. This is the results

226
00:14:43,800 --> 00:14:47,280
Speaker 1: that I'm giving you, and uh, hundred million more dollars,

227
00:14:47,800 --> 00:14:52,320
Speaker 1: but you know what to fix this hundred million more money? Well,

228
00:14:52,360 --> 00:14:53,720
Speaker 1: the thing was, I don't know if you saw. I

229
00:14:54,080 --> 00:14:56,800
Speaker 1: know that that the auditor or that audit of what

230
00:14:56,920 --> 00:14:59,520
Speaker 1: happened said, we haven't even been trained on equipment we

231
00:14:59,560 --> 00:15:02,320
Speaker 1: bought three years ago. The manufacturers told us we needed

232
00:15:02,360 --> 00:15:05,800
Speaker 1: training on and that's why we became white supremacist that

233
00:15:05,880 --> 00:15:08,600
Speaker 1: sympathized with the insurrection on January six and then let

234
00:15:08,640 --> 00:15:13,200
Speaker 1: everybody in your honor, okay, like it's truly so ship

235
00:15:13,280 --> 00:15:16,200
Speaker 1: where you're like, yo, you you couldn't have fucked that

236
00:15:16,440 --> 00:15:21,320
Speaker 1: up more? You know, you need more money, more money.

237
00:15:21,360 --> 00:15:24,040
Speaker 1: We're not supposed to take selfies with the people who

238
00:15:24,120 --> 00:15:26,840
Speaker 1: are armed and trying to overthrow you know, my camp.

239
00:15:26,920 --> 00:15:29,600
Speaker 1: My phone was broken, so I had I did not

240
00:15:29,800 --> 00:15:33,920
Speaker 1: have that specific training. Um right, You know what I

241
00:15:34,040 --> 00:15:37,720
Speaker 1: was just thinking about was, you know, as the police

242
00:15:37,760 --> 00:15:41,080
Speaker 1: are like, oh, who's gonna respond to like these armed

243
00:15:41,200 --> 00:15:44,320
Speaker 1: conflicts are like armed criminals who are intent on pulling

244
00:15:44,320 --> 00:15:47,040
Speaker 1: off a crime. I was thinking of the North Hollywood

245
00:15:47,080 --> 00:15:50,600
Speaker 1: shoot out, and you know, that is the basis for

246
00:15:50,800 --> 00:15:55,120
Speaker 1: heat and just like kind of reading back over news

247
00:15:55,200 --> 00:15:59,120
Speaker 1: stories from the time, and it's what, like, I think

248
00:15:59,200 --> 00:16:04,720
Speaker 1: I have underestimated the media's role in like this whole

249
00:16:04,960 --> 00:16:09,960
Speaker 1: police and police military industrial state, because that shootout was

250
00:16:10,840 --> 00:16:14,320
Speaker 1: like fun for the local news. That was big, huge ratings,

251
00:16:14,800 --> 00:16:17,800
Speaker 1: and the stories covering it at the time are go

252
00:16:18,120 --> 00:16:21,560
Speaker 1: from you know, there were two thousand rounds fired in

253
00:16:21,640 --> 00:16:29,080
Speaker 1: a public place, eight civilians were harmed, and the responses, well,

254
00:16:29,120 --> 00:16:32,800
Speaker 1: the police just need bigger guns. Like, you know, let

255
00:16:32,880 --> 00:16:35,880
Speaker 1: me tell you something. My display name on Twitter Hideo

256
00:16:36,040 --> 00:16:39,560
Speaker 1: NoHo okay, because I'm from fucking North Hollywood. I was.

257
00:16:39,760 --> 00:16:42,520
Speaker 1: I was in school the fucking bank they robbed up

258
00:16:42,600 --> 00:16:45,120
Speaker 1: the street from my school and we had to fucking

259
00:16:45,320 --> 00:16:49,040
Speaker 1: lay down because you could hear all the gunfire from

260
00:16:49,080 --> 00:16:53,680
Speaker 1: the shootout. And the story was the cops don't have

261
00:16:54,000 --> 00:16:56,600
Speaker 1: enough assault rifles, so they had to go to B

262
00:16:57,120 --> 00:17:01,120
Speaker 1: B and B guns and Van Eyes and all their

263
00:17:01,120 --> 00:17:04,960
Speaker 1: assault rifles so they could fight fire with fire. And yeah,

264
00:17:05,040 --> 00:17:06,760
Speaker 1: it was like the way the news was treating it

265
00:17:06,880 --> 00:17:09,639
Speaker 1: was like it was almost that point where car chases

266
00:17:09,680 --> 00:17:12,359
Speaker 1: were big. Baby, we love a car chase, you know,

267
00:17:12,480 --> 00:17:15,840
Speaker 1: we love more seeing somebody a body armor squeezing off

268
00:17:15,880 --> 00:17:19,040
Speaker 1: a fucking chopper at a bunch of cops and then

269
00:17:19,280 --> 00:17:23,000
Speaker 1: showing like when the student you I remember on the news,

270
00:17:23,119 --> 00:17:25,280
Speaker 1: we had to shift on like the rolling cart TV

271
00:17:25,400 --> 00:17:28,159
Speaker 1: because we're like, is this shootout gonna get near our school?

272
00:17:28,680 --> 00:17:31,440
Speaker 1: And we saw the guy get killed when he was

273
00:17:31,520 --> 00:17:35,600
Speaker 1: walking down the street from the helicopter. We're like, yo, teachers,

274
00:17:35,600 --> 00:17:37,600
Speaker 1: like okay, we gotta turn this off. Like you just

275
00:17:37,640 --> 00:17:40,800
Speaker 1: saw that dude get domed from a helicopter. Maybe this

276
00:17:40,920 --> 00:17:44,040
Speaker 1: isn't good TV, but yeah, that's It's just one of

277
00:17:44,080 --> 00:17:46,600
Speaker 1: those things too. It's like what the what was that for?

278
00:17:47,480 --> 00:17:51,679
Speaker 1: It was like it's like suddenly everyone became yeah right,

279
00:17:51,720 --> 00:17:54,520
Speaker 1: everyone became John McClane and ship and they're like, oh no,

280
00:17:54,800 --> 00:17:57,679
Speaker 1: you're not getting away with a sixty will having much

281
00:17:57,760 --> 00:18:03,000
Speaker 1: money they had with money, like why why WiFi are

282
00:18:03,080 --> 00:18:06,720
Speaker 1: the first shot at them? Why? Right, it's just money?

283
00:18:07,080 --> 00:18:14,840
Speaker 1: You can just I mean that, Yeah, I think, either

284
00:18:14,960 --> 00:18:19,080
Speaker 1: on this show or the Crack podcast. So we talked

285
00:18:19,119 --> 00:18:22,280
Speaker 1: about like the sort of see change that people are

286
00:18:22,320 --> 00:18:25,760
Speaker 1: trying to get to happen around car chases like you mentioned,

287
00:18:26,760 --> 00:18:29,639
Speaker 1: and just like just let them go, just fucking let

288
00:18:29,720 --> 00:18:31,920
Speaker 1: them go, like you'll, you'll, you'll figure it out a

289
00:18:32,080 --> 00:18:35,679
Speaker 1: later time. And it all comes back to that fucking

290
00:18:36,000 --> 00:18:39,960
Speaker 1: broken windows policing where it's like if they if we

291
00:18:40,000 --> 00:18:43,680
Speaker 1: don't catch them now, and and it's just complete junk side,

292
00:18:43,720 --> 00:18:46,320
Speaker 1: it's complete bullshit, And yeah, it has no basis in

293
00:18:46,400 --> 00:18:48,879
Speaker 1: reality because all the data that we have shows that

294
00:18:49,480 --> 00:18:52,840
Speaker 1: over policing for small crimes leads to an uptick in

295
00:18:54,440 --> 00:18:57,200
Speaker 1: bigger crimes, right because people are desperate and they're trying

296
00:18:57,240 --> 00:19:00,480
Speaker 1: to escape whatever situation there and that they don't have

297
00:19:00,560 --> 00:19:04,480
Speaker 1: resources for. Yeah, it doesn't work. It's it actually makes

298
00:19:04,560 --> 00:19:06,760
Speaker 1: us less safe. But you know whatever, the cops are

299
00:19:06,760 --> 00:19:09,920
Speaker 1: the good guys. I guess, yeah, I mean that's I

300
00:19:09,960 --> 00:19:11,840
Speaker 1: think the only thing we can just keep hammering away

301
00:19:11,920 --> 00:19:14,159
Speaker 1: on for people who don't understand is like we have

302
00:19:14,400 --> 00:19:17,320
Speaker 1: to redefine what crime is or people need to begin

303
00:19:17,440 --> 00:19:21,320
Speaker 1: to rethink what crime is rather than like there's nasty

304
00:19:21,560 --> 00:19:25,600
Speaker 1: motherfucker's out there that are trying to get you and

305
00:19:25,720 --> 00:19:28,159
Speaker 1: we need the boys in blue, rather than like we

306
00:19:28,440 --> 00:19:33,280
Speaker 1: have failed and entire segments of the population. And it's

307
00:19:33,280 --> 00:19:36,560
Speaker 1: incredible because crime has been going down, right, like crimes

308
00:19:36,600 --> 00:19:40,399
Speaker 1: from going down since since the nineties early nineties, and

309
00:19:42,040 --> 00:19:45,120
Speaker 1: it has nothing to do with policing, Like crime would

310
00:19:45,240 --> 00:19:48,000
Speaker 1: have gone down regardless. So I think that, like, but

311
00:19:48,080 --> 00:19:50,800
Speaker 1: they keep advocating for like this whole we need this

312
00:19:50,880 --> 00:19:52,680
Speaker 1: infusion of cash because we need to put all of

313
00:19:52,720 --> 00:19:56,119
Speaker 1: these people in prison for you know, however long. And

314
00:19:57,560 --> 00:19:59,960
Speaker 1: it's but there's this nerd, I don't know, the funk

315
00:20:00,000 --> 00:20:03,119
Speaker 1: snoozearing of Black Lives Matter is going to come to

316
00:20:03,160 --> 00:20:04,680
Speaker 1: your house and knock down your door and shoot you

317
00:20:04,720 --> 00:20:09,160
Speaker 1: in your bed because we care about like random or Antifa,

318
00:20:09,320 --> 00:20:12,359
Speaker 1: whoever it is, because that's what we do to civil

319
00:20:12,440 --> 00:20:20,040
Speaker 1: rights leaders exactly. That's the internalized white supremacy and knowing

320
00:20:20,320 --> 00:20:22,640
Speaker 1: the evil of it, knowing that there's an evil there

321
00:20:22,760 --> 00:20:27,480
Speaker 1: and like not being able to reconcile that and knowing, Okay,

322
00:20:27,520 --> 00:20:30,640
Speaker 1: this is what we do. So if we accuse them

323
00:20:30,720 --> 00:20:35,160
Speaker 1: of doing that, then it'll I think that they can't

324
00:20:35,160 --> 00:20:40,440
Speaker 1: see us as anything but the inverse of themselves. Yeah. Absolutely,

325
00:20:40,560 --> 00:20:43,879
Speaker 1: That's why everything to do with any kind of liberation

326
00:20:44,040 --> 00:20:47,280
Speaker 1: of black people or any press group is about this

327
00:20:47,440 --> 00:20:52,240
Speaker 1: inversion of power that they black supremacy. Right. If they're

328
00:20:52,280 --> 00:20:56,840
Speaker 1: not on top, then we're on top. There are two

329
00:20:56,920 --> 00:21:00,399
Speaker 1: movies that are nominated for Oscars that talk about the

330
00:21:00,640 --> 00:21:05,960
Speaker 1: assassination Fred Hampton and sure enough the one by Aaron Sorkin.

331
00:21:06,720 --> 00:21:09,000
Speaker 1: Like they say it's an assassination, but they also say

332
00:21:09,080 --> 00:21:11,359
Speaker 1: that he was like shot in the shoulder and therefore

333
00:21:11,480 --> 00:21:14,000
Speaker 1: like couldn't have shot back at the police. He was

334
00:21:14,160 --> 00:21:17,879
Speaker 1: knocked out by a drug cocktail like that. It's just

335
00:21:18,040 --> 00:21:22,280
Speaker 1: wild that that isn't like front front and center, Like

336
00:21:22,400 --> 00:21:25,040
Speaker 1: they drugged him and he was passed out in his

337
00:21:25,119 --> 00:21:28,040
Speaker 1: bed when they shot him in the back of the head. Yeah,

338
00:21:28,160 --> 00:21:36,800
Speaker 1: like Sorkin, Sorkin the boot. Yeah, uh, what is something

339
00:21:36,840 --> 00:21:40,280
Speaker 1: you think is underrated? Tory wearing your mask over your

340
00:21:40,320 --> 00:21:45,359
Speaker 1: goddamn nose. Yeah, Like it's been a year and people

341
00:21:45,440 --> 00:21:48,080
Speaker 1: still are like masks, No, we don't know how they work.

342
00:21:48,560 --> 00:21:51,800
Speaker 1: How does air work? How does breathing work? Yeah, it's

343
00:21:51,880 --> 00:21:54,399
Speaker 1: that little bit of rebellion, you know what I mean,

344
00:21:54,480 --> 00:21:56,800
Speaker 1: when you got the total connected. It doesn't all just

345
00:21:56,880 --> 00:22:01,960
Speaker 1: connect right here. Yeah, yeah, this here. But it's always

346
00:22:01,960 --> 00:22:05,800
Speaker 1: I love seeing the old old timer, old dudes who

347
00:22:06,040 --> 00:22:09,400
Speaker 1: it's the that's the hottest trend, and older guy fashion

348
00:22:09,600 --> 00:22:12,760
Speaker 1: is the I'm gonna let mine, I'm gonna fucking sag

349
00:22:12,920 --> 00:22:16,240
Speaker 1: my mask like the kids sag their paints. It's like,

350
00:22:16,520 --> 00:22:19,680
Speaker 1: come off the funk on really, And it always is

351
00:22:19,800 --> 00:22:22,240
Speaker 1: these older men who I see doing it like in

352
00:22:22,359 --> 00:22:25,200
Speaker 1: this very much like like I get I'm only doing

353
00:22:25,240 --> 00:22:26,760
Speaker 1: it because you think so, but I'm showing you I'm

354
00:22:26,760 --> 00:22:29,280
Speaker 1: putting myself at risk visibly because I don't because I'm

355
00:22:29,280 --> 00:22:33,960
Speaker 1: a man or whatever the funk that means, can't do it,

356
00:22:34,240 --> 00:22:36,480
Speaker 1: can't do it. I just I don't want masks to

357
00:22:36,520 --> 00:22:39,480
Speaker 1: go away personally, So I would like to continue wearing

358
00:22:39,520 --> 00:22:44,359
Speaker 1: masks during flu season when that's that's a that's a fine,

359
00:22:44,600 --> 00:22:48,560
Speaker 1: fine idea, especially as we're seeing variants pop up all

360
00:22:48,600 --> 00:22:52,440
Speaker 1: over the place and completely don't have an absolute handle

361
00:22:52,480 --> 00:22:54,160
Speaker 1: on it. And I think what's so weird is there's

362
00:22:54,160 --> 00:22:55,960
Speaker 1: like a group of people who are just trying to

363
00:22:56,040 --> 00:22:59,359
Speaker 1: like triangulate like what the final answer is on masks.

364
00:22:59,480 --> 00:23:02,639
Speaker 1: Immediately as possible, we gotta get rid of I mean,

365
00:23:02,640 --> 00:23:03,639
Speaker 1: can we get rid of him? Now? I mean we

366
00:23:03,680 --> 00:23:05,440
Speaker 1: got vaccines? I mean, like does he studies that says

367
00:23:05,480 --> 00:23:08,800
Speaker 1: like it's like, yeah, I get that, but as a

368
00:23:09,000 --> 00:23:13,159
Speaker 1: as just a common practice, it stands to benefit us

369
00:23:13,240 --> 00:23:15,840
Speaker 1: more than anything. And if you if you feel like

370
00:23:15,920 --> 00:23:18,439
Speaker 1: your face is hot, than just then go to your

371
00:23:18,680 --> 00:23:21,879
Speaker 1: places where you have your mask off. Your public who

372
00:23:21,920 --> 00:23:25,800
Speaker 1: gives outside, go outside. If it's really like, yeah, I

373
00:23:25,880 --> 00:23:28,480
Speaker 1: don't I don't get it, but I think that, Like

374
00:23:28,800 --> 00:23:32,040
Speaker 1: I'm I'm a big masks person. Now, I can't believe

375
00:23:32,040 --> 00:23:34,320
Speaker 1: I let people for like thirty six years of my life,

376
00:23:34,359 --> 00:23:37,240
Speaker 1: I let other people breathe on me. I'm pretty sure

377
00:23:37,440 --> 00:23:41,200
Speaker 1: is a violation of my constitutional rights. So I need

378
00:23:41,280 --> 00:23:44,080
Speaker 1: everybody to be masked, right See. That's what we need

379
00:23:44,119 --> 00:23:46,600
Speaker 1: to do is hit the anti maskers with our own

380
00:23:46,800 --> 00:23:50,760
Speaker 1: set of constitutional rights, be like, actually, no, under the Constitution.

381
00:23:50,960 --> 00:23:54,159
Speaker 1: And they're like, oh shit. Normally I'm just dealing with

382
00:23:54,280 --> 00:24:00,280
Speaker 1: some they've never read it, so they don't know. Oh okay,

383
00:24:00,520 --> 00:24:02,359
Speaker 1: you know the Constitution. Say it out loud for memory,

384
00:24:02,440 --> 00:24:05,760
Speaker 1: right now, that's what I thought. And then you just

385
00:24:05,800 --> 00:24:07,760
Speaker 1: have an earwig on and someone can just like read

386
00:24:07,800 --> 00:24:10,840
Speaker 1: you the Constitution so you can be like okay, yeah,

387
00:24:10,960 --> 00:24:15,240
Speaker 1: oh I absolutely can recite the Constitution. Um, here we go.

388
00:24:15,359 --> 00:24:17,000
Speaker 1: We the people of the United States in order for

389
00:24:17,040 --> 00:24:19,400
Speaker 1: a more perfect unit. Stab was justice ensued, domestic tranquility,

390
00:24:19,400 --> 00:24:21,440
Speaker 1: provide for more common defense, promote the general, and secure

391
00:24:21,480 --> 00:24:23,760
Speaker 1: the blessings of liberties ourselves in our prosperior Look, I

392
00:24:23,760 --> 00:24:28,719
Speaker 1: can keep going that way. I can I can keep

393
00:24:28,760 --> 00:24:31,000
Speaker 1: I can do this forever, you guys, forever. I know

394
00:24:31,160 --> 00:24:34,320
Speaker 1: the Constitution. I know the Constitution. You merely playing it.

395
00:24:39,400 --> 00:24:41,640
Speaker 1: I really wanted comedians. I want to see that bit

396
00:24:42,240 --> 00:24:45,840
Speaker 1: is lying harder back to an anti mask or idiot

397
00:24:45,840 --> 00:24:48,960
Speaker 1: about the Constitution, and just to just to see where

398
00:24:49,040 --> 00:24:51,640
Speaker 1: that goes, because honestly, if it's if it's down to confidence,

399
00:24:51,680 --> 00:24:55,800
Speaker 1: I think a solid, witty person could just fucking destroy

400
00:24:56,000 --> 00:24:58,120
Speaker 1: someone like that very quickly, and they're just gonna walk

401
00:24:58,160 --> 00:25:00,240
Speaker 1: away in the end. They're not gonna say, they're not

402
00:25:00,240 --> 00:25:01,960
Speaker 1: going to change their minds. So I just want to say,

403
00:25:02,280 --> 00:25:06,879
Speaker 1: that's an assignment for the i Kea, the guy who

404
00:25:06,960 --> 00:25:14,280
Speaker 1: does the responses, the IKEA worker responses to common complaints.

405
00:25:14,480 --> 00:25:19,760
Speaker 1: Just have it that he can do video. So it's

406
00:25:19,800 --> 00:25:23,200
Speaker 1: the it's the music. It's that drama that track on ticktok.

407
00:25:25,359 --> 00:25:27,480
Speaker 1: All right, let's take a quick break and we'll be

408
00:25:27,680 --> 00:25:42,320
Speaker 1: right back and we're back, and let's check in with

409
00:25:42,800 --> 00:25:47,520
Speaker 1: those anti trans bills that are just sheer violence that

410
00:25:47,640 --> 00:25:51,199
Speaker 1: are being passed in a lot of states around the country.

411
00:25:51,720 --> 00:25:55,760
Speaker 1: So this is some nice news for once in in

412
00:25:55,920 --> 00:26:00,720
Speaker 1: that fight. North Dakota Governor Doug Bergham H has vetoed

413
00:26:00,920 --> 00:26:04,920
Speaker 1: the anti trans sports bill that solved zero problems in

414
00:26:05,000 --> 00:26:11,520
Speaker 1: youth sports. And I mean, his reasoning seems I don't know,

415
00:26:11,680 --> 00:26:15,879
Speaker 1: like sound like did they just suddenly catch logic? Are

416
00:26:15,920 --> 00:26:18,400
Speaker 1: they not wearing their mathetes? It? And says North Dakota

417
00:26:18,480 --> 00:26:20,439
Speaker 1: this is a quote from the government quote. North Dakota

418
00:26:20,480 --> 00:26:23,600
Speaker 1: has fairness and girls and boys sports in large part

419
00:26:23,680 --> 00:26:26,199
Speaker 1: because of the caring and thoughtful leadership of the North

420
00:26:26,280 --> 00:26:29,840
Speaker 1: Dakota High School Activities Association Board and its members. We

421
00:26:29,960 --> 00:26:32,640
Speaker 1: have every confidence they will continue to ensure a level

422
00:26:32,720 --> 00:26:34,919
Speaker 1: of a level playing field for more for the more

423
00:26:34,960 --> 00:26:37,720
Speaker 1: than twenty seven thousand students who participate in high school sports.

424
00:26:39,080 --> 00:26:41,399
Speaker 1: It was look, they knew they're about to get hit.

425
00:26:41,480 --> 00:26:43,639
Speaker 1: The state was gonna get hit with so many lawsuits.

426
00:26:44,040 --> 00:26:49,280
Speaker 1: It wasn't. It's just because it's such a clear discriminatory bill,

427
00:26:49,800 --> 00:26:51,399
Speaker 1: They're like, fun, I don't have the energy for this,

428
00:26:51,480 --> 00:26:53,960
Speaker 1: they're like, fuck it. And plus they already have there's

429
00:26:54,000 --> 00:26:58,120
Speaker 1: current regulations right now that would allow for transgender youth

430
00:26:58,359 --> 00:27:02,960
Speaker 1: to participate if they have undergone hormone treatments. But that

431
00:27:03,320 --> 00:27:06,840
Speaker 1: is that's completely misses the mark about how little or

432
00:27:06,920 --> 00:27:09,920
Speaker 1: how few trans youth or even have the means or

433
00:27:10,000 --> 00:27:12,879
Speaker 1: access to that kind of treatment. So it's like, all right,

434
00:27:12,920 --> 00:27:15,480
Speaker 1: you're already putting up a block in front of it,

435
00:27:15,680 --> 00:27:17,920
Speaker 1: rather than just saying, yo, the kids are kids. I

436
00:27:17,960 --> 00:27:22,200
Speaker 1: don't fucking play. What's this fucking what you saw? What

437
00:27:22,520 --> 00:27:26,359
Speaker 1: you saw, ladybugs, and your your mind's all fucked up. Legit,

438
00:27:27,080 --> 00:27:30,879
Speaker 1: what's happen? Because Jonathan brandis played on Rodney Dangerfield's soccer

439
00:27:30,960 --> 00:27:33,160
Speaker 1: team in the early nineties, and now you think that's

440
00:27:33,200 --> 00:27:35,439
Speaker 1: what's gonna happen. You saw Jowana Man or some other

441
00:27:35,560 --> 00:27:38,200
Speaker 1: dumb fucking thing and you think that's real life on

442
00:27:38,440 --> 00:27:41,520
Speaker 1: the funk on. So Yeah, there are other bills too,

443
00:27:41,560 --> 00:27:44,200
Speaker 1: were talking about. In Texas, there was another one that

444
00:27:44,400 --> 00:27:49,879
Speaker 1: was big, big, discriminatory, you know, slow motion genocide energy

445
00:27:50,080 --> 00:27:53,760
Speaker 1: from that bill to redefine child abuse. Uh. Then Florida

446
00:27:53,800 --> 00:27:56,080
Speaker 1: as well, those look like they have a much steeper

447
00:27:56,200 --> 00:27:59,159
Speaker 1: hill to climb. But we we said even from the

448
00:27:59,240 --> 00:28:01,800
Speaker 1: beginning that it's I see with Texas, that bill was

449
00:28:02,600 --> 00:28:05,960
Speaker 1: marched out to basically be like so fucked up that

450
00:28:06,280 --> 00:28:08,159
Speaker 1: immediately be like, okay, so we'll shift to a more

451
00:28:08,240 --> 00:28:12,560
Speaker 1: you know, quote reasonable bill too, then you know, pass

452
00:28:12,600 --> 00:28:15,680
Speaker 1: some more discriminatory ship. But I mean, even here they're

453
00:28:15,680 --> 00:28:19,399
Speaker 1: taking the stands on the sports bill and not the

454
00:28:20,080 --> 00:28:22,720
Speaker 1: I I don't know if they have plans to introduce

455
00:28:22,920 --> 00:28:28,280
Speaker 1: the one that is basically genocidal that restricts like access

456
00:28:28,320 --> 00:28:32,040
Speaker 1: to healthcare, but it seems like, you know, they're choosing,

457
00:28:32,080 --> 00:28:35,440
Speaker 1: picking and choosing their battle and being shrewd the way

458
00:28:35,480 --> 00:28:37,800
Speaker 1: they always are. I mean, it's just like you're you're

459
00:28:37,800 --> 00:28:40,080
Speaker 1: at a restaurant and then you're like, what's the special.

460
00:28:40,120 --> 00:28:43,640
Speaker 1: They're like, oh, we have um, human diarrhea in a bowl.

461
00:28:43,960 --> 00:28:45,760
Speaker 1: Would you like that? And you're like, oh my god,

462
00:28:47,600 --> 00:28:49,880
Speaker 1: the funk o? Wait? What kind of places? I'm sorry,

463
00:28:49,880 --> 00:28:52,840
Speaker 1: I was joking. I was joking we have very stale

464
00:28:52,880 --> 00:28:56,560
Speaker 1: French fries and it seems like such a good trade off,

465
00:28:56,800 --> 00:28:59,080
Speaker 1: and you're like, oh, okay, because the first thing the

466
00:28:59,120 --> 00:29:01,239
Speaker 1: offered just was dire rhea. So I'll take this other

467
00:29:01,320 --> 00:29:05,080
Speaker 1: thing that is also subpar, not fresh, not worthy, you

468
00:29:05,120 --> 00:29:07,200
Speaker 1: know what I mean. It's just a stupid overton window

469
00:29:07,280 --> 00:29:09,760
Speaker 1: nonsense they're trying to. I think that what's really interesting

470
00:29:09,760 --> 00:29:12,800
Speaker 1: about this because in the nineties, the big thing was

471
00:29:13,160 --> 00:29:18,440
Speaker 1: was be a marriage right and and and gay anything.

472
00:29:18,560 --> 00:29:21,040
Speaker 1: And that was what they chose to kind of weaponize,

473
00:29:21,720 --> 00:29:24,720
Speaker 1: right like alongside abortion. That was kind of like their

474
00:29:24,800 --> 00:29:28,320
Speaker 1: wedge issue was we have to you know, So they

475
00:29:28,360 --> 00:29:30,040
Speaker 1: put they put all of this money into all these

476
00:29:30,120 --> 00:29:32,560
Speaker 1: campaigns in different states all across the country of like

477
00:29:32,680 --> 00:29:35,800
Speaker 1: you have, every state is going to change their constitution

478
00:29:35,880 --> 00:29:37,800
Speaker 1: to say that marriages between one man and one woman

479
00:29:37,840 --> 00:29:40,640
Speaker 1: and that's it. And it was like this kind of

480
00:29:40,720 --> 00:29:42,280
Speaker 1: panic thing. And then all of a sudden, of course,

481
00:29:42,360 --> 00:29:45,280
Speaker 1: like a couple of states you taught did it. I

482
00:29:45,320 --> 00:29:47,400
Speaker 1: don't know who all did it. I'm not sure Oregon

483
00:29:47,440 --> 00:29:50,840
Speaker 1: didn't pass it, but other people wanted it to pass here.

484
00:29:50,960 --> 00:29:53,960
Speaker 1: But like, yeah, that was like their thing. They're putting

485
00:29:53,960 --> 00:29:56,240
Speaker 1: all of this money in, and then like the Supreme

486
00:29:56,280 --> 00:29:59,160
Speaker 1: Court goes, okay, hey, well no, never mind, you can

487
00:29:59,600 --> 00:30:01,520
Speaker 1: they gay people can get married. I'm sorry you have

488
00:30:01,600 --> 00:30:05,200
Speaker 1: a sad about that, but so once they lost that,

489
00:30:05,360 --> 00:30:07,800
Speaker 1: they were like, we have to weaponize something else. Who's

490
00:30:07,840 --> 00:30:10,560
Speaker 1: the most marginal group of people, marginalized group of people

491
00:30:10,600 --> 00:30:13,880
Speaker 1: we can go after? And obviously it's trans children because

492
00:30:14,200 --> 00:30:17,000
Speaker 1: children have no rights like sis children have zero rights

493
00:30:17,040 --> 00:30:21,840
Speaker 1: in this country already, right, and so that's like, this

494
00:30:22,000 --> 00:30:24,880
Speaker 1: is like their thing. And if at some point we

495
00:30:25,000 --> 00:30:31,480
Speaker 1: get legislation like federal law protecting trans children, they're just

496
00:30:31,480 --> 00:30:32,960
Speaker 1: they're gonna find some They're going to try to find

497
00:30:33,000 --> 00:30:36,360
Speaker 1: something else. Even weirder, this is that this is their

498
00:30:36,560 --> 00:30:39,200
Speaker 1: m O, right, and they're like they're going to go

499
00:30:39,320 --> 00:30:43,360
Speaker 1: more niche or not more niche, but rather just like

500
00:30:43,520 --> 00:30:46,000
Speaker 1: because they're trying to find these sort of like last

501
00:30:46,080 --> 00:30:49,640
Speaker 1: stops of like culture exactly black people. And then people

502
00:30:49,720 --> 00:30:52,880
Speaker 1: like nah, most people are not thinking like that anymore. Fine,

503
00:30:53,560 --> 00:30:59,800
Speaker 1: gay people, what if they got married and you're like what, nah,

504
00:31:00,040 --> 00:31:02,440
Speaker 1: I know this is this is not real and that's like, okay,

505
00:31:02,720 --> 00:31:05,240
Speaker 1: trans people. And now we're at a point where more

506
00:31:05,600 --> 00:31:08,480
Speaker 1: more than I think most people are have no a

507
00:31:08,560 --> 00:31:11,920
Speaker 1: trans person or are aware of what a trans person is,

508
00:31:12,080 --> 00:31:14,720
Speaker 1: that we people are all human beings. And now that

509
00:31:14,800 --> 00:31:18,280
Speaker 1: that's where in ways can be like um, fucking uh

510
00:31:19,160 --> 00:31:23,440
Speaker 1: the older Harry Potter fans. That's fucking weird, isn't it?

511
00:31:23,720 --> 00:31:26,800
Speaker 1: Like what fun? What do y'all left with? Now? It's

512
00:31:26,840 --> 00:31:29,840
Speaker 1: like the culture wars. They just have to have something

513
00:31:30,080 --> 00:31:31,840
Speaker 1: so that they can get all of the other stuff,

514
00:31:31,840 --> 00:31:34,360
Speaker 1: all the other legislation that they want through, right, So

515
00:31:34,400 --> 00:31:36,240
Speaker 1: they have to have like the big thing that they're

516
00:31:36,280 --> 00:31:39,560
Speaker 1: using to distract everybody. And then meanwhile they're trying to

517
00:31:39,640 --> 00:31:42,920
Speaker 1: also pass legislation that says that like anybody can buy

518
00:31:42,920 --> 00:31:46,760
Speaker 1: a gun even if they've been whatever. But that's literally unspeakable.

519
00:31:46,880 --> 00:31:49,840
Speaker 1: You can't justify it in words, so you get to

520
00:31:50,240 --> 00:31:52,920
Speaker 1: just they distract from that, so they don't have to

521
00:31:52,960 --> 00:31:55,280
Speaker 1: have that conversation, right, And it's just this idea of

522
00:31:55,400 --> 00:32:00,320
Speaker 1: like the traditional family, which is propaganda, like that term

523
00:32:00,520 --> 00:32:04,800
Speaker 1: is political property. The traditional family fucked you up mentally,

524
00:32:07,200 --> 00:32:15,080
Speaker 1: like the tradition of emotionally. So there it's and there's

525
00:32:15,120 --> 00:32:16,840
Speaker 1: like we have to we have to maintain this, like

526
00:32:16,880 --> 00:32:18,480
Speaker 1: this is a line. We have to hold the line

527
00:32:18,520 --> 00:32:25,040
Speaker 1: because once America American nous in their minds, like white evangelicals,

528
00:32:25,120 --> 00:32:29,400
Speaker 1: especially American nous and whiteness, like they kind of overlap,

529
00:32:29,600 --> 00:32:33,640
Speaker 1: like you can be American and not white, but American

530
00:32:33,760 --> 00:32:36,040
Speaker 1: nous like Tucker Carlson has this whole thing, like his

531
00:32:36,080 --> 00:32:38,360
Speaker 1: whole replacement theory thing that he's doing right now. But

532
00:32:38,440 --> 00:32:42,440
Speaker 1: it's like if the majority of Americans were non white people,

533
00:32:44,200 --> 00:32:45,760
Speaker 1: at least people on the right seem to think that

534
00:32:46,120 --> 00:32:48,880
Speaker 1: it would not be America anymore, right, even if we

535
00:32:49,000 --> 00:32:51,280
Speaker 1: kept the constitution, even if we kept all the same laws,

536
00:32:51,760 --> 00:32:56,080
Speaker 1: Like they feel like whiteness is fundamental to American nous

537
00:32:56,120 --> 00:32:59,120
Speaker 1: and specifically white people being in charge. Right, I think

538
00:32:59,160 --> 00:33:01,240
Speaker 1: that they would be okay with with it if it's

539
00:33:01,280 --> 00:33:03,800
Speaker 1: like we get to run everything and you just get

540
00:33:03,880 --> 00:33:06,480
Speaker 1: to be our like little shower croppers again, you know.

541
00:33:07,080 --> 00:33:09,960
Speaker 1: But yeah, they're very they're very scared. And again it's

542
00:33:10,000 --> 00:33:12,160
Speaker 1: because they think that we want to treat them the

543
00:33:12,240 --> 00:33:16,080
Speaker 1: way that they want to treat us. Yeah, it's just like, no,

544
00:33:16,320 --> 00:33:18,719
Speaker 1: we don't have the again, we don't have the energy

545
00:33:19,080 --> 00:33:22,120
Speaker 1: for that, and we don't care. We literally do not care,

546
00:33:22,680 --> 00:33:28,120
Speaker 1: Like yeah, really no, Blue, it's not the parenting and

547
00:33:28,200 --> 00:33:31,320
Speaker 1: being like judgmental of the parents of trans youth who

548
00:33:31,560 --> 00:33:34,880
Speaker 1: are trying to help their kids also reminds me like

549
00:33:35,480 --> 00:33:39,880
Speaker 1: you brought up the evangelical aspect of it. And you know,

550
00:33:40,040 --> 00:33:44,120
Speaker 1: I'm sure like not all evangelicals, but it just keeps

551
00:33:44,160 --> 00:33:47,360
Speaker 1: reminding me of this story I've told on here before

552
00:33:47,400 --> 00:33:50,479
Speaker 1: about this mom who, like we had a kid who

553
00:33:50,520 --> 00:33:52,959
Speaker 1: we played bestball with who died of a brain angerism,

554
00:33:53,560 --> 00:33:56,040
Speaker 1: and I was like in the car with her and

555
00:33:56,160 --> 00:34:00,240
Speaker 1: another like evangelical mom where they were talking about how

556
00:34:00,720 --> 00:34:04,560
Speaker 1: they heard he wasn't saved and so like everybody's worried

557
00:34:04,600 --> 00:34:07,480
Speaker 1: that he's in hell like after and it's just like

558
00:34:08,480 --> 00:34:12,800
Speaker 1: just that like judgment, Like it's just so contrary to

559
00:34:14,160 --> 00:34:18,520
Speaker 1: humanity just being it is, like they're so bad at empathy.

560
00:34:18,600 --> 00:34:20,520
Speaker 1: And I think a lot of it is because yeah,

561
00:34:20,560 --> 00:34:23,319
Speaker 1: it's like they think that all the three of us

562
00:34:23,800 --> 00:34:25,840
Speaker 1: are going to go to hell because we don't, you know,

563
00:34:26,040 --> 00:34:28,840
Speaker 1: we haven't convested Jesus Christ as our Lord and savior

564
00:34:29,440 --> 00:34:32,120
Speaker 1: and so but yeah, if you believe that someone's gonna

565
00:34:32,120 --> 00:34:34,239
Speaker 1: be tortured for all of eternity, like there's you can't

566
00:34:34,280 --> 00:34:38,120
Speaker 1: care about them. You can't sincerely care about someone's life

567
00:34:38,280 --> 00:34:43,759
Speaker 1: and believe you deserve to be punished forever. M All right,

568
00:34:43,840 --> 00:34:47,160
Speaker 1: let's talk about some good news. Somebody who I think

569
00:34:47,200 --> 00:34:52,080
Speaker 1: should be inducted into the Fun Capitalism Hall of Fame. Uh,

570
00:34:52,400 --> 00:34:58,160
Speaker 1: this is an Italian person who skipped work for fifteen

571
00:34:58,280 --> 00:35:04,759
Speaker 1: years straight. Still secure the bag, we love to see it.

572
00:35:05,160 --> 00:35:07,919
Speaker 1: This is the kind of story that if I read

573
00:35:07,960 --> 00:35:10,640
Speaker 1: it as sixteen, I would have been telling everybody, you know,

574
00:35:10,719 --> 00:35:15,480
Speaker 1: we gotta move, We're going to Italy. Dog. This one

575
00:35:15,640 --> 00:35:18,960
Speaker 1: dude didn't go to work for fifteen years, bro, and

576
00:35:19,040 --> 00:35:21,360
Speaker 1: then we could just do whatever we want, like drink wine,

577
00:35:21,920 --> 00:35:25,600
Speaker 1: eat meats and cheeses and ship. So this sixty seven

578
00:35:25,680 --> 00:35:31,839
Speaker 1: year old man was cut skipping work every fucking day

579
00:35:32,640 --> 00:35:38,000
Speaker 1: but again for fifteen years for and collected his salary

580
00:35:38,520 --> 00:35:42,840
Speaker 1: five hundred thirty eight thousand euros worth, that six hundred

581
00:35:42,920 --> 00:35:46,359
Speaker 1: forty six thousand dollars that he collected over the years

582
00:35:46,800 --> 00:35:50,239
Speaker 1: not going to work. And this is just yeah, he

583
00:35:50,320 --> 00:35:53,160
Speaker 1: worked at Apparently he was employed at a hospital and

584
00:35:53,280 --> 00:35:56,960
Speaker 1: never showed up. So now he's facing charges of abusive

585
00:35:57,040 --> 00:36:01,680
Speaker 1: office forgery, aggravated extortion. And there are also six managers

586
00:36:01,760 --> 00:36:04,400
Speaker 1: that are also being investigated because they're like, I'm pretty

587
00:36:04,400 --> 00:36:07,600
Speaker 1: sure these managers had to have enabled this ship because

588
00:36:08,440 --> 00:36:11,400
Speaker 1: like they're reporting to these managers. But I guess the

589
00:36:11,440 --> 00:36:14,040
Speaker 1: other thing is this whole thing absentee is um is

590
00:36:14,200 --> 00:36:19,040
Speaker 1: apparently a huge problem in Italy, like in the public sector,

591
00:36:19,560 --> 00:36:22,920
Speaker 1: like people got these municipal jobs and it's a lot

592
00:36:23,040 --> 00:36:26,400
Speaker 1: of like, Yo, it's very much like if you ever

593
00:36:26,480 --> 00:36:28,759
Speaker 1: went to college and you never went to lectures for

594
00:36:28,840 --> 00:36:30,799
Speaker 1: your courses and you said, hey, sign me and sign

595
00:36:30,800 --> 00:36:33,440
Speaker 1: me in, sign me in. So I'm there. That's that's

596
00:36:33,440 --> 00:36:35,799
Speaker 1: what people are doing with their jobs. Like they're giving

597
00:36:35,800 --> 00:36:38,680
Speaker 1: their wives they're like clock in cards and they're just

598
00:36:38,760 --> 00:36:40,720
Speaker 1: like swiping them like at the front of the building

599
00:36:40,760 --> 00:36:42,480
Speaker 1: to act like they went in. Then they go do

600
00:36:42,600 --> 00:36:47,120
Speaker 1: their shopping and ship. It's uh, you know what it is.

601
00:36:49,120 --> 00:36:50,880
Speaker 1: I wouldn't I'd sunk off from work all the time

602
00:36:50,920 --> 00:36:52,600
Speaker 1: too if I live in Italy. I'm not gonna lie

603
00:36:53,000 --> 00:36:54,759
Speaker 1: like I got shipped to eat like I don't know what.

604
00:36:54,920 --> 00:36:56,120
Speaker 1: I don't know what what you want me to do?

605
00:36:56,200 --> 00:36:57,800
Speaker 1: Why do you want me to show up here? So

606
00:36:58,200 --> 00:37:02,160
Speaker 1: you know I'm okay with Yeah, there there wasn't Apparently

607
00:37:02,239 --> 00:37:05,600
Speaker 1: there was. The guy did threaten someone that tried to

608
00:37:05,719 --> 00:37:09,200
Speaker 1: report him, so it's not the cleanest story again, and

609
00:37:09,280 --> 00:37:12,439
Speaker 1: I don't know what that hospital works. Yeah, I don't,

610
00:37:12,760 --> 00:37:15,319
Speaker 1: but I'm also curious about what that what that confrontation

611
00:37:15,480 --> 00:37:18,359
Speaker 1: was like, keep your mouth shut. I ain't coming into

612
00:37:18,440 --> 00:37:21,600
Speaker 1: work ugly. I'll slash your tires, you know. Just leave

613
00:37:21,640 --> 00:37:23,799
Speaker 1: me alone. I'm old as funk. I want to smoke

614
00:37:23,840 --> 00:37:28,160
Speaker 1: these cigarettes and drink approll four or five cigarettes? Who

615
00:37:28,280 --> 00:37:38,239
Speaker 1: is that? Nick susages to three four cigarettes? Cigarettes? All right,

616
00:37:38,280 --> 00:37:42,520
Speaker 1: let's talk about the IOC speaking of uh international stories.

617
00:37:42,880 --> 00:37:49,319
Speaker 1: We're we're going international today and specifically talking about there,

618
00:37:49,680 --> 00:37:54,920
Speaker 1: you know, paying attention. Uh. They they've seen the movement

619
00:37:55,120 --> 00:37:59,480
Speaker 1: towards uh, you know, fighting for justice, and they they

620
00:37:59,760 --> 00:38:03,799
Speaker 1: are saying, hell no, fuck all of that. Mm hmm yeah.

621
00:38:04,640 --> 00:38:07,359
Speaker 1: I mean officially, I just want to make that clear

622
00:38:07,400 --> 00:38:09,960
Speaker 1: to everyone. They say athletes will not be allowed to

623
00:38:10,080 --> 00:38:12,880
Speaker 1: take a knee or protest against human rights abuses on

624
00:38:13,000 --> 00:38:18,000
Speaker 1: the podium of Tokyo or Beijing two after two thirds

625
00:38:18,360 --> 00:38:21,440
Speaker 1: of competitors pulled by the IOC said they supported a

626
00:38:21,520 --> 00:38:25,640
Speaker 1: band on remaining in place. Now, I'm like, first of all,

627
00:38:26,200 --> 00:38:29,960
Speaker 1: why are you using a survey of athletes from around

628
00:38:30,000 --> 00:38:32,600
Speaker 1: the world to let you determine how they should move forward?

629
00:38:32,600 --> 00:38:35,360
Speaker 1: Because I can't imagine the athletes from places like China

630
00:38:35,560 --> 00:38:39,200
Speaker 1: or Turkey. We're taking the box that said, you goddamn right,

631
00:38:39,280 --> 00:38:41,600
Speaker 1: I think we need to give about our human rights

632
00:38:41,719 --> 00:38:46,200
Speaker 1: violating leaders here. That's not the tone. That's not the

633
00:38:46,280 --> 00:38:48,960
Speaker 1: tone of the earth, unfortunately, which is why we have

634
00:38:49,120 --> 00:38:52,040
Speaker 1: these movements brewing where people are getting in touch with

635
00:38:52,280 --> 00:38:55,840
Speaker 1: their own oppression and wanting to liberate themselves. So this

636
00:38:55,960 --> 00:38:58,279
Speaker 1: whole thing, I'm like, this is so stupid to use

637
00:38:58,360 --> 00:39:01,479
Speaker 1: that as like the measure of what is acceptable, because

638
00:39:01,800 --> 00:39:04,120
Speaker 1: they have to know too that, like people can't be

639
00:39:04,239 --> 00:39:07,840
Speaker 1: honest on those surveys, of course, like most people, like

640
00:39:08,000 --> 00:39:10,480
Speaker 1: you have you represent your country, you are representative of

641
00:39:10,520 --> 00:39:12,040
Speaker 1: your country. You can't you can't just be like, oh,

642
00:39:12,120 --> 00:39:15,719
Speaker 1: my opinion is because they're gonna see it, right, like

643
00:39:15,800 --> 00:39:17,760
Speaker 1: your team members are going to see it, like whoever

644
00:39:17,840 --> 00:39:21,400
Speaker 1: your coaches and yeah, you gotta I think that's such

645
00:39:21,400 --> 00:39:23,480
Speaker 1: a good point. You have to tow the line politically.

646
00:39:24,400 --> 00:39:26,279
Speaker 1: And they know this. So I don't know why they

647
00:39:26,400 --> 00:39:29,320
Speaker 1: Why did they ask? I mean, I think's because I

648
00:39:29,480 --> 00:39:31,920
Speaker 1: have a feeling. I think it's just it's just it's

649
00:39:31,920 --> 00:39:35,120
Speaker 1: just clear right that they they just want people like

650
00:39:35,239 --> 00:39:38,160
Speaker 1: for the for the amount of money this thing makes

651
00:39:38,640 --> 00:39:40,680
Speaker 1: and for the amount of attention that is paid. They

652
00:39:40,760 --> 00:39:44,520
Speaker 1: don't want the optics that the world is in a

653
00:39:44,600 --> 00:39:48,399
Speaker 1: bad place actually for for most people. So they want

654
00:39:48,440 --> 00:39:50,879
Speaker 1: to sanitize it as much as possible because they don't

655
00:39:50,880 --> 00:39:53,600
Speaker 1: want to They want to fucking stifle this like the

656
00:39:53,680 --> 00:39:56,160
Speaker 1: actual tone of what is happening on the planet at

657
00:39:56,200 --> 00:39:58,920
Speaker 1: the moment, which is many people would want to bring attention,

658
00:39:59,360 --> 00:40:02,520
Speaker 1: whether that's what the US is doing in Yemen, or

659
00:40:02,640 --> 00:40:06,080
Speaker 1: what the Chinese are doing two weakers or anything. There's

660
00:40:06,480 --> 00:40:10,400
Speaker 1: there's an infinite number of international conflicts to want to

661
00:40:10,480 --> 00:40:13,920
Speaker 1: bring attention to. But you know it's the This is

662
00:40:14,000 --> 00:40:16,319
Speaker 1: just I get. I mean, I get from a very

663
00:40:16,360 --> 00:40:19,400
Speaker 1: cynical place why the IOC is just like I think

664
00:40:19,400 --> 00:40:23,080
Speaker 1: you're gonna have people protesting and Beijing Olympics are basically

665
00:40:23,400 --> 00:40:26,520
Speaker 1: the world's fair for like showing off the latest and

666
00:40:26,560 --> 00:40:31,360
Speaker 1: greatest technology. In police states like there, they just totally

667
00:40:31,480 --> 00:40:35,280
Speaker 1: locked shut down. They in London for the two thousand

668
00:40:35,360 --> 00:40:39,840
Speaker 1: twelve Olympics, they had missiles like on the side of buildings,

669
00:40:40,239 --> 00:40:43,600
Speaker 1: like anti aircraft missiles like they were UH And that's

670
00:40:43,640 --> 00:40:48,800
Speaker 1: what gave London UH the ability and license to lock

671
00:40:49,080 --> 00:40:53,920
Speaker 1: every square foot of the public city down with closed

672
00:40:53,960 --> 00:40:58,880
Speaker 1: caption or with CCTV. Yeah, sure, what is it? Because

673
00:40:59,200 --> 00:41:03,120
Speaker 1: what is this close circuit not close caption with close

674
00:41:03,520 --> 00:41:07,879
Speaker 1: close circuit TV cameras, And yeah, I mean it's been

675
00:41:08,719 --> 00:41:11,800
Speaker 1: it's been an issue for a long time. Super producer

676
00:41:11,840 --> 00:41:14,719
Speaker 1: Ana hosny A pointed out that Tommy Smith had his

677
00:41:14,800 --> 00:41:18,719
Speaker 1: medals stripped for holding up his fist on the podium. Yeah,

678
00:41:18,800 --> 00:41:21,520
Speaker 1: John Carlos, they all they they were, they got in

679
00:41:21,640 --> 00:41:25,560
Speaker 1: trouble for for throwing, for putting their fists up. Yeah.

680
00:41:26,120 --> 00:41:28,640
Speaker 1: And this is what's interesting though, too, because I don't

681
00:41:28,680 --> 00:41:31,040
Speaker 1: know they're it's still not clear what the punishments are

682
00:41:31,040 --> 00:41:34,600
Speaker 1: going to be or how they'll even enforce them because

683
00:41:35,080 --> 00:41:37,400
Speaker 1: and like recently in the US, there was a fencer

684
00:41:38,040 --> 00:41:40,640
Speaker 1: who the like the fence US fencing team won a

685
00:41:40,680 --> 00:41:43,239
Speaker 1: gold medal, like at these Pan American Games or something,

686
00:41:43,320 --> 00:41:45,640
Speaker 1: and he took and he took a knee on the podium,

687
00:41:46,000 --> 00:41:48,759
Speaker 1: you know, just in solidarity. Uh, he's he's like a

688
00:41:48,840 --> 00:41:51,320
Speaker 1: white athlete. And then he got he was put on

689
00:41:51,440 --> 00:41:55,680
Speaker 1: probation for kneeling during the medal ceremony. But the backlash

690
00:41:55,920 --> 00:41:59,080
Speaker 1: to that probation was so like severe that the US

691
00:41:59,120 --> 00:42:01,279
Speaker 1: Olympic teams like, you know, oh, I'm sorry that that

692
00:42:01,360 --> 00:42:04,959
Speaker 1: was a miss step. So I don't know how they're

693
00:42:05,000 --> 00:42:08,759
Speaker 1: gonna figure this out. I have a feeling telling people

694
00:42:08,840 --> 00:42:10,840
Speaker 1: this is going to inspire a lot of people to

695
00:42:11,000 --> 00:42:13,480
Speaker 1: do something because guess what, once you on that fucking podium,

696
00:42:14,080 --> 00:42:17,120
Speaker 1: like I'm coming short of stripping their medals away, which

697
00:42:17,120 --> 00:42:19,040
Speaker 1: I don't think is going to happen at this point,

698
00:42:19,360 --> 00:42:21,359
Speaker 1: but I don't know. Maybe that's how severe they're going

699
00:42:21,400 --> 00:42:24,320
Speaker 1: to act and say, if you do this, you risk that.

700
00:42:24,480 --> 00:42:27,799
Speaker 1: But it's it sounds like that's not what the punishments

701
00:42:27,880 --> 00:42:29,480
Speaker 1: that they're trying to give out. But again it's like

702
00:42:29,560 --> 00:42:33,520
Speaker 1: so stupid given like have you not, like there aren't

703
00:42:33,560 --> 00:42:36,200
Speaker 1: issues in the world right now. Well, and the IOC

704
00:42:36,400 --> 00:42:39,400
Speaker 1: it's not like they don't have some skeletons in their closet.

705
00:42:40,760 --> 00:42:48,200
Speaker 1: So millions we associate Jesse Owens with the Olympics because

706
00:42:48,239 --> 00:42:50,760
Speaker 1: that's where he you know, made his name and became

707
00:42:50,800 --> 00:42:55,320
Speaker 1: extremely famous. But the Olympics didn't organize that the Berlin

708
00:42:55,400 --> 00:42:59,240
Speaker 1: Olympics with Jesse Owens. They organized it with Hitler. Hitler

709
00:42:59,640 --> 00:43:02,480
Speaker 1: that was is like yo arians about to show out, honey,

710
00:43:03,400 --> 00:43:06,279
Speaker 1: but to Jesse Owens being like, no, if I'm off

711
00:43:06,360 --> 00:43:10,000
Speaker 1: this ship, hold actually here a third right, hold this

712
00:43:10,920 --> 00:43:15,600
Speaker 1: one moment. But the they were the partner, not not Jesse.

713
00:43:16,440 --> 00:43:19,400
Speaker 1: And yeah, I mean this is one of those you know,

714
00:43:19,520 --> 00:43:25,200
Speaker 1: we we hate to rely on corporations do like putting

715
00:43:25,239 --> 00:43:29,920
Speaker 1: pressure and on entities to do the right thing. But

716
00:43:30,680 --> 00:43:35,879
Speaker 1: you know, if the corporate partners, you know, Nike, uh,

717
00:43:36,600 --> 00:43:40,600
Speaker 1: Nike is supposed to be about the struggle and about

718
00:43:40,680 --> 00:43:45,799
Speaker 1: like finding solutions to these social issues, about monetizing the struggle, right,

719
00:43:46,239 --> 00:43:47,920
Speaker 1: but like this would be a great chance for them

720
00:43:47,960 --> 00:43:51,680
Speaker 1: to say, funk off, We're not gonna be involved at

721
00:43:51,719 --> 00:43:54,000
Speaker 1: all the Olympics. We have a whole line of the

722
00:43:54,160 --> 00:43:57,560
Speaker 1: struggle where we're launching during the Olympics. And if we

723
00:43:57,760 --> 00:44:00,319
Speaker 1: if they can't protest, this is gonna look real dumb

724
00:44:00,360 --> 00:44:06,160
Speaker 1: when we when we unleashed this whole product line. Fuck yeah, alright,

725
00:44:06,280 --> 00:44:09,040
Speaker 1: let's take a quick break and we'll be right back.

726
00:44:19,440 --> 00:44:23,640
Speaker 1: And we're back, And I wanted to talk about a

727
00:44:23,760 --> 00:44:29,600
Speaker 1: couple of possible solutions. Uh, there are no you know,

728
00:44:29,840 --> 00:44:34,440
Speaker 1: police solutions in America that have been like implemented and

729
00:44:34,800 --> 00:44:38,520
Speaker 1: are perfect. So we're just gonna be talking about like

730
00:44:38,719 --> 00:44:41,839
Speaker 1: some things that have showed promise that are woefully inadequate

731
00:44:42,040 --> 00:44:46,359
Speaker 1: and horribly underfunded, but like, hey, this is a thing

732
00:44:46,480 --> 00:44:50,200
Speaker 1: somebody did that. If you expanded on that, like you

733
00:44:50,400 --> 00:44:55,360
Speaker 1: have a possible, like partial solution to these problems that

734
00:44:55,520 --> 00:45:00,400
Speaker 1: we talk about fucking literally every day. So there's been

735
00:45:00,440 --> 00:45:04,680
Speaker 1: a programming Eugene or again, which is you know, a

736
00:45:04,800 --> 00:45:07,640
Speaker 1: hippie college town, so it makes sense that it popped

737
00:45:07,719 --> 00:45:10,640
Speaker 1: up there. It used to be called the Bummer Squad

738
00:45:11,040 --> 00:45:14,640
Speaker 1: because it was, like I know it was it was

739
00:45:14,719 --> 00:45:19,759
Speaker 1: basically these hippies with uh, psychiatric training who would go

740
00:45:19,920 --> 00:45:23,360
Speaker 1: around and like help people who were having bad trips

741
00:45:23,520 --> 00:45:28,960
Speaker 1: and like having mental health crises. And then it's like

742
00:45:29,160 --> 00:45:33,520
Speaker 1: that somehow morphed into this thing that they ironically named

743
00:45:33,640 --> 00:45:36,400
Speaker 1: Coots because they were like, fuck, we're in cohoots with

744
00:45:36,520 --> 00:45:39,680
Speaker 1: the police. Nobody's gonna trust us ever, so they called

745
00:45:39,719 --> 00:45:43,439
Speaker 1: it Coots as like a joke. But it's like been

746
00:45:44,600 --> 00:45:49,080
Speaker 1: moderately successful, uh and pretty impressively successful when you realize

747
00:45:49,120 --> 00:45:52,600
Speaker 1: they get to fucking percent of the budget of the

748
00:45:52,680 --> 00:45:58,360
Speaker 1: police budget out of you know, a multimillion dollar budget,

749
00:45:58,480 --> 00:46:02,440
Speaker 1: they get two per cent, but what happens is and

750
00:46:02,760 --> 00:46:05,719
Speaker 1: the big complaint is that there's just a long wait

751
00:46:05,800 --> 00:46:11,960
Speaker 1: time because they are far more appropriate for most police calls,

752
00:46:12,160 --> 00:46:15,239
Speaker 1: but there's just not enough of them because again two

753
00:46:15,400 --> 00:46:18,959
Speaker 1: percent of the fucking budget. But you know, they come

754
00:46:19,080 --> 00:46:22,800
Speaker 1: and respond to mental health crises, to drug freakouts, to

755
00:46:23,400 --> 00:46:28,760
Speaker 1: you know, anything that isn't like an over like violent

756
00:46:29,280 --> 00:46:32,280
Speaker 1: threat they get called for. And the police are obviously

757
00:46:32,400 --> 00:46:36,480
Speaker 1: very protective, so like they have that very strictly defined

758
00:46:36,920 --> 00:46:39,399
Speaker 1: and it's been a decades a long struggle to get

759
00:46:39,840 --> 00:46:44,000
Speaker 1: you know, the police to let them respond to situations.

760
00:46:44,120 --> 00:46:47,480
Speaker 1: But they're unarmed, which is a great first step. Their

761
00:46:47,680 --> 00:46:51,080
Speaker 1: entire goal is to de escalate. Uh. This Atlantic reporter

762
00:46:51,239 --> 00:46:55,360
Speaker 1: went on a ride along and like a lot of

763
00:46:55,600 --> 00:46:58,879
Speaker 1: the problems that they're coming up against are just these

764
00:46:59,400 --> 00:47:02,959
Speaker 1: commons sense, Like it's just it's sort of the sort

765
00:47:03,000 --> 00:47:06,680
Speaker 1: of thing that just having an interested party there who

766
00:47:06,800 --> 00:47:10,479
Speaker 1: wants to help instead of wants to like escalate things

767
00:47:10,920 --> 00:47:13,760
Speaker 1: and turn things into a fucking yeah hit a quota

768
00:47:14,120 --> 00:47:19,320
Speaker 1: put you in jail, wants to react action. Yeah, Like

769
00:47:19,440 --> 00:47:23,640
Speaker 1: one of the anecdotes they find they're responding to a

770
00:47:23,760 --> 00:47:26,920
Speaker 1: guy whose girlfriend had filed a restraining order against him,

771
00:47:27,280 --> 00:47:31,600
Speaker 1: and he's like hanging around and when this coot squad arrives,

772
00:47:32,000 --> 00:47:35,920
Speaker 1: they find out he's drunk, couldn't drive anywhere with the

773
00:47:36,000 --> 00:47:38,760
Speaker 1: police there, and didn't want to go to any homeless

774
00:47:38,760 --> 00:47:41,640
Speaker 1: shelter that didn't allow him to keep drinking. So what

775
00:47:41,800 --> 00:47:44,960
Speaker 1: they did was literally just like called around, like did

776
00:47:45,040 --> 00:47:47,879
Speaker 1: what anyone would have done if, like you had called

777
00:47:47,920 --> 00:47:50,719
Speaker 1: that guy's sister to come. They called around, found a

778
00:47:50,800 --> 00:47:53,360
Speaker 1: local motel that he could stay at, like for the

779
00:47:53,400 --> 00:47:56,000
Speaker 1: amount of money that he had, found someone who could

780
00:47:56,040 --> 00:47:58,759
Speaker 1: drive stick because his car was stick and he didn't

781
00:47:58,800 --> 00:48:01,279
Speaker 1: want it to get impound it, and like that was it.

782
00:48:01,560 --> 00:48:05,000
Speaker 1: And that's one of those situations where the police were,

783
00:48:05,360 --> 00:48:08,120
Speaker 1: you know, ready to escalate, and a lot of communities

784
00:48:08,120 --> 00:48:11,640
Speaker 1: would have escalated, right because in my I'm even jumping

785
00:48:11,719 --> 00:48:15,960
Speaker 1: to the same conclusions some hairbrained cop would, which is

786
00:48:16,040 --> 00:48:19,960
Speaker 1: like you hear, probably vaguely, there's a partner with a

787
00:48:20,080 --> 00:48:23,520
Speaker 1: restraining order who's outside the home and will not leave,

788
00:48:24,040 --> 00:48:26,560
Speaker 1: and you're like, oh shit, Okay, this's a fucking confrontation,

789
00:48:26,680 --> 00:48:28,400
Speaker 1: you know what I mean, Like that's immediately that's the

790
00:48:28,560 --> 00:48:30,640
Speaker 1: energy the police are going to show up with like

791
00:48:30,760 --> 00:48:33,200
Speaker 1: to get this get the funk out, man, What the

792
00:48:33,280 --> 00:48:37,319
Speaker 1: fuck versus what you're saying is compassion to just first,

793
00:48:37,440 --> 00:48:40,360
Speaker 1: like what's happening here? Okay, Oh, I see you're not

794
00:48:40,520 --> 00:48:43,239
Speaker 1: just you're not just staying because you're refusing because you're

795
00:48:43,239 --> 00:48:46,600
Speaker 1: trying to like keep harassing this person. You're just so

796
00:48:46,760 --> 00:48:49,319
Speaker 1: fucked up. You're like, man, I can't drive that kind

797
00:48:49,320 --> 00:48:51,880
Speaker 1: of don't even know where to go, like he had

798
00:48:51,960 --> 00:48:55,040
Speaker 1: nowhere to go, right, So it's like you probably, yeah,

799
00:48:55,200 --> 00:48:59,160
Speaker 1: that's very very common. I mean Olympio Washington has a

800
00:48:59,200 --> 00:49:02,800
Speaker 1: really similar program, um two Cahoots, where they have mental

801
00:49:02,840 --> 00:49:07,239
Speaker 1: health crisis responders go out on calls. And I guess

802
00:49:07,280 --> 00:49:10,000
Speaker 1: what's really weird to me about this whole the police

803
00:49:10,200 --> 00:49:13,640
Speaker 1: being super touchy about like you can't take over our things.

804
00:49:14,239 --> 00:49:17,279
Speaker 1: They're also complaining that they have too much work and

805
00:49:17,360 --> 00:49:20,040
Speaker 1: they don't have enough people to like answer handle all

806
00:49:20,080 --> 00:49:22,600
Speaker 1: the calls and like which one which one is it?

807
00:49:22,800 --> 00:49:25,040
Speaker 1: Like you want to be in charge of all the things,

808
00:49:25,440 --> 00:49:30,240
Speaker 1: but you don't have enough time, energy resources too. Okay,

809
00:49:30,360 --> 00:49:32,239
Speaker 1: So it's both of these at the same time. They

810
00:49:32,280 --> 00:49:35,279
Speaker 1: did say in this article that after like fighting the

811
00:49:35,600 --> 00:49:38,279
Speaker 1: battle to like get the police to consider things. Like

812
00:49:38,320 --> 00:49:41,000
Speaker 1: a lot of times the police would just be like, oh, yeah, okay,

813
00:49:41,080 --> 00:49:42,600
Speaker 1: we could call them to like do it, because they

814
00:49:42,680 --> 00:49:44,719
Speaker 1: just wanted to get this ship off their plate. And

815
00:49:44,880 --> 00:49:47,000
Speaker 1: like after it was up and running and there was

816
00:49:47,040 --> 00:49:49,920
Speaker 1: like a working relationship there, the police were like, Oh,

817
00:49:50,000 --> 00:49:52,799
Speaker 1: thank god, we don't have to deal with this ship. Uh.

818
00:49:53,200 --> 00:49:55,160
Speaker 1: And I don't have any empathy. I can act right

819
00:49:55,880 --> 00:49:59,880
Speaker 1: exactly this this situation seems to require a completely different

820
00:50:00,000 --> 00:50:04,480
Speaker 1: skill set. Empathy squad go right. I love empathy squad man.

821
00:50:04,600 --> 00:50:07,319
Speaker 1: My life's easier. I'm less angry. And actually I don't

822
00:50:07,320 --> 00:50:09,799
Speaker 1: do ship all day? Now? Can I can I join?

823
00:50:10,000 --> 00:50:11,840
Speaker 1: Where do I apply for empathy squad? I feel like

824
00:50:11,840 --> 00:50:13,719
Speaker 1: it'd be a good a good team member. But that's

825
00:50:13,840 --> 00:50:16,560
Speaker 1: literally like they say that that is the most important

826
00:50:16,640 --> 00:50:20,239
Speaker 1: thing for doctors. Like when when when a doctor, like

827
00:50:20,400 --> 00:50:22,799
Speaker 1: when they evaluate a doctor, and like how they test

828
00:50:22,880 --> 00:50:25,600
Speaker 1: on an empathy test, which they only gave for this,

829
00:50:25,880 --> 00:50:28,080
Speaker 1: Like it's not a thing that is like standard when

830
00:50:28,120 --> 00:50:30,919
Speaker 1: you're like taking the medical boards, they're not like also

831
00:50:31,000 --> 00:50:33,040
Speaker 1: giving you an empathy test. But they did a test

832
00:50:33,520 --> 00:50:37,640
Speaker 1: with this one patient population, and the doctors who did

833
00:50:37,680 --> 00:50:40,680
Speaker 1: the best on the empathy test, and like, irrespective of

834
00:50:40,800 --> 00:50:44,400
Speaker 1: how like smart they were, those were the doctors who

835
00:50:44,480 --> 00:50:48,040
Speaker 1: tested best, like didn't get sued like people just they

836
00:50:48,160 --> 00:50:50,000
Speaker 1: got to the bottom of the problem. And like, I

837
00:50:50,080 --> 00:50:54,400
Speaker 1: feel like that's that's just a big like it's you know,

838
00:50:54,680 --> 00:50:57,840
Speaker 1: having other members of the community who will empathize with

839
00:50:57,920 --> 00:51:00,640
Speaker 1: the person and approach it as a problem ablem solving

840
00:51:01,040 --> 00:51:05,680
Speaker 1: situation like that. I I just feel like that's a yeah,

841
00:51:06,080 --> 00:51:08,040
Speaker 1: it's a it's a difference in like what you're saying

842
00:51:08,120 --> 00:51:10,239
Speaker 1: is to approach it as a problem that can be

843
00:51:10,400 --> 00:51:13,600
Speaker 1: solved versus the other version now, which is to clean

844
00:51:13,719 --> 00:51:17,600
Speaker 1: up the trash. It's because if you're if your approaches

845
00:51:17,640 --> 00:51:20,680
Speaker 1: now we got to clean up the trash, then every

846
00:51:20,800 --> 00:51:24,600
Speaker 1: person or it's an instance you're in isn't It doesn't

847
00:51:24,640 --> 00:51:26,759
Speaker 1: need a solution, It just needs to get cleared out.

848
00:51:27,400 --> 00:51:30,200
Speaker 1: That's that's the motivate. That's the sort of m O

849
00:51:30,360 --> 00:51:33,000
Speaker 1: of the police and the thought we have. But yeah,

850
00:51:33,400 --> 00:51:35,440
Speaker 1: it's And also in that empathy test, one of the

851
00:51:35,480 --> 00:51:38,360
Speaker 1: doctors scored so high they realized he wasn't even a doctor.

852
00:51:38,840 --> 00:51:41,680
Speaker 1: He just has so much empathy that he was creating

853
00:51:41,719 --> 00:51:44,320
Speaker 1: these amazing outcomes and that sort of became a scandal

854
00:51:44,400 --> 00:51:47,479
Speaker 1: too because they're like, well, hold on, well, yeah, it's true,

855
00:51:47,560 --> 00:51:50,040
Speaker 1: like there's such a lack I think just in general too,

856
00:51:50,800 --> 00:51:52,680
Speaker 1: is so many of our problems are because we just

857
00:51:52,760 --> 00:51:55,279
Speaker 1: have a general lack of empathy across the board. With

858
00:51:55,440 --> 00:51:58,800
Speaker 1: how we solve things. Everything is so data driven and

859
00:51:58,920 --> 00:52:02,360
Speaker 1: nothing is really looking at what the human experiences and

860
00:52:02,440 --> 00:52:07,120
Speaker 1: how that ties into how we act, interact, behave, consume.

861
00:52:07,560 --> 00:52:09,920
Speaker 1: It's like, no, no, not. This group of people here

862
00:52:10,000 --> 00:52:12,719
Speaker 1: means they think like this, and I don't need to

863
00:52:13,280 --> 00:52:15,520
Speaker 1: I'm not interested in any other option. Imagin in the

864
00:52:15,560 --> 00:52:19,239
Speaker 1: world where the unarmed mental health and addiction specialists got

865
00:52:19,320 --> 00:52:22,920
Speaker 1: fifty percent of the funding, we're well staffed, well trained,

866
00:52:23,000 --> 00:52:26,759
Speaker 1: well fed, well rested, and we're more likely to show

867
00:52:26,880 --> 00:52:29,319
Speaker 1: up when you call the police, like instead of getting

868
00:52:29,360 --> 00:52:33,640
Speaker 1: two of the funding, like and and again, like most

869
00:52:33,719 --> 00:52:36,440
Speaker 1: cities do not have this, Like I have come into

870
00:52:36,600 --> 00:52:39,800
Speaker 1: firsthand contact with the fact that l A does not

871
00:52:40,040 --> 00:52:41,960
Speaker 1: have this. If you have somebody who's having a mental

872
00:52:42,000 --> 00:52:46,600
Speaker 1: health problem, uh, who's having an addiction or substance abuse issue,

873
00:52:47,000 --> 00:52:50,920
Speaker 1: there's nothing like there's the police show up. Basically, there

874
00:52:51,000 --> 00:52:54,440
Speaker 1: are like social like crisis workers, but there's less than

875
00:52:54,520 --> 00:52:57,680
Speaker 1: twenty employed by the count. Yes, yeah, exactly. The thing

876
00:52:57,880 --> 00:53:00,719
Speaker 1: it's not you have to like find them and it's

877
00:53:00,760 --> 00:53:03,359
Speaker 1: not like a thing where one is going to root

878
00:53:03,440 --> 00:53:07,440
Speaker 1: you to those people. M I think it's I mean,

879
00:53:07,600 --> 00:53:10,480
Speaker 1: one of the things that's so powerful about this, right

880
00:53:10,600 --> 00:53:14,480
Speaker 1: is is just like from an evolutionary biology perspective, just

881
00:53:14,560 --> 00:53:19,799
Speaker 1: having someone listen to you and believe you is huge. Right,

882
00:53:20,360 --> 00:53:23,600
Speaker 1: Humans evolved to coregulate, So if you have someone who

883
00:53:23,719 --> 00:53:27,520
Speaker 1: is with you in whatever the crisis is, like, just

884
00:53:27,680 --> 00:53:31,040
Speaker 1: that alone is huge as opposed to someone again like

885
00:53:31,080 --> 00:53:35,160
Speaker 1: seeing you as the problem. You as a person are

886
00:53:35,200 --> 00:53:38,040
Speaker 1: the problems, and I need to handle you problem by

887
00:53:38,080 --> 00:53:40,600
Speaker 1: getting out of here. And I mean it's just it's

888
00:53:40,640 --> 00:53:45,120
Speaker 1: just incredible that like something. So it's just really small things,

889
00:53:45,440 --> 00:53:48,560
Speaker 1: you know. Frequently it's like taking somebody a couple of

890
00:53:48,640 --> 00:53:51,719
Speaker 1: cigarettes and a bottle of water and just kind of

891
00:53:51,840 --> 00:53:54,560
Speaker 1: sitting with them for a little bit until they calm down,

892
00:53:55,080 --> 00:53:57,600
Speaker 1: until their nervous system is less activated. I mean, it's

893
00:53:57,680 --> 00:54:01,520
Speaker 1: it's really kind of small things frequently, but it I mean,

894
00:54:01,600 --> 00:54:05,760
Speaker 1: it ends up saving our communities like millions of dollars

895
00:54:06,040 --> 00:54:10,279
Speaker 1: honestly because you don't. There are fewer people being killed, right,

896
00:54:10,440 --> 00:54:13,000
Speaker 1: there are a fewer people being harassed and and abused

897
00:54:13,080 --> 00:54:16,000
Speaker 1: and brutalized, and so I don't know, it's just I

898
00:54:16,000 --> 00:54:19,680
Speaker 1: would love to see of the police budget just go

899
00:54:19,840 --> 00:54:24,960
Speaker 1: to like social welfare, mental health crises responders, like all

900
00:54:25,000 --> 00:54:28,480
Speaker 1: of that. So good. Yeah, again, it's just so simple,

901
00:54:28,760 --> 00:54:30,279
Speaker 1: you know, like even if you think about it, like

902
00:54:30,760 --> 00:54:34,160
Speaker 1: anyone can can have this thought experiment, like imagine, we've

903
00:54:34,200 --> 00:54:37,000
Speaker 1: all been piste off, We've all been in bad fucking moods.

904
00:54:37,760 --> 00:54:39,640
Speaker 1: And you know, back when I was a little more

905
00:54:39,719 --> 00:54:41,439
Speaker 1: agro in my day, if I was in a bad

906
00:54:41,520 --> 00:54:43,560
Speaker 1: mood and someone came up like yo, what's up, like

907
00:54:43,800 --> 00:54:46,279
Speaker 1: came up to me on some bullshit, I was more

908
00:54:46,400 --> 00:54:50,120
Speaker 1: likely to react negatively because I'm in a bad place.

909
00:54:51,080 --> 00:54:55,720
Speaker 1: Versus someone's like, hey you okay, what man? And I'll explain,

910
00:54:55,760 --> 00:54:57,640
Speaker 1: I'm like, nah, man, fun that because this is happening

911
00:54:57,760 --> 00:54:59,920
Speaker 1: that that the and someone would say, oh that's fun

912
00:55:00,080 --> 00:55:01,719
Speaker 1: up or it's been like oh yeah, I feel that,

913
00:55:01,840 --> 00:55:04,080
Speaker 1: and I understand, and then you'll start coming down. But

914
00:55:04,160 --> 00:55:05,920
Speaker 1: if someone starts saying, oh, what the funk now, you

915
00:55:06,000 --> 00:55:07,719
Speaker 1: know what, shut the funk up? Why don't you want

916
00:55:07,760 --> 00:55:09,239
Speaker 1: know you sit down? I got some questions for you.

917
00:55:09,840 --> 00:55:13,520
Speaker 1: That is already that is going to become a cataclysmic

918
00:55:13,640 --> 00:55:16,880
Speaker 1: interaction because we're not even like we're not even observing

919
00:55:16,920 --> 00:55:21,200
Speaker 1: like the basics of human energy, like energetic communication by

920
00:55:21,280 --> 00:55:24,319
Speaker 1: coming up to somebody distressed, like what the fun is up?

921
00:55:25,320 --> 00:55:29,440
Speaker 1: Versus can I help you? Do you need something? You

922
00:55:29,640 --> 00:55:33,080
Speaker 1: look distressed? And yes, Unfortunately, I think a lot of

923
00:55:33,120 --> 00:55:35,120
Speaker 1: people think, like what about the people that want to

924
00:55:35,480 --> 00:55:38,520
Speaker 1: are are are like mean to do harm? Well, even

925
00:55:38,560 --> 00:55:40,480
Speaker 1: if you have these police there, I think we need

926
00:55:40,600 --> 00:55:44,160
Speaker 1: police with more scars who say this is from when

927
00:55:44,360 --> 00:55:47,080
Speaker 1: I tried to I single handly refused to shoot someone

928
00:55:47,160 --> 00:55:49,560
Speaker 1: with a knife and yeah, they cut my arm, but

929
00:55:49,640 --> 00:55:52,279
Speaker 1: I wasn't gonna fucking shoot them. They were weak as

930
00:55:52,320 --> 00:55:54,919
Speaker 1: fun and I knew I could disarm them and that's

931
00:55:54,960 --> 00:55:56,839
Speaker 1: what I had to do to avoid killing. This person

932
00:55:56,960 --> 00:55:59,040
Speaker 1: was just distressed. And yeah, that's kind of what happens.

933
00:55:59,080 --> 00:56:00,880
Speaker 1: And that's why I became a police officer because I

934
00:56:01,000 --> 00:56:03,279
Speaker 1: know that ship like that can happen. But I also

935
00:56:03,360 --> 00:56:06,799
Speaker 1: know people need to be treated a certain way because

936
00:56:06,880 --> 00:56:10,560
Speaker 1: right now we have a bunch of scarless, pristine motherfucker's

937
00:56:10,640 --> 00:56:12,920
Speaker 1: who just have a bunch of gunshot residue all over

938
00:56:12,960 --> 00:56:17,480
Speaker 1: their hands. The my dad's dad was an inner city

939
00:56:17,520 --> 00:56:20,600
Speaker 1: Philly cop, and his like number one thing that he

940
00:56:20,680 --> 00:56:23,719
Speaker 1: bragged about among like seven other jobs, but the number

941
00:56:23,760 --> 00:56:26,439
Speaker 1: one thing he bragged about was never he never pulled

942
00:56:26,480 --> 00:56:28,040
Speaker 1: his gun out of his holster. And that was like

943
00:56:28,120 --> 00:56:30,080
Speaker 1: a thing that was like a family legend, Like, Yo,

944
00:56:30,560 --> 00:56:33,239
Speaker 1: he was a cop in the worst neighborhood and never

945
00:56:33,360 --> 00:56:35,640
Speaker 1: pulled his gun out of his holster, and like that

946
00:56:36,160 --> 00:56:39,440
Speaker 1: is that's a cultural thing. That's like, you know, I

947
00:56:39,600 --> 00:56:42,000
Speaker 1: was just thinking like the fact that the best like

948
00:56:42,800 --> 00:56:47,360
Speaker 1: probably top five action movies of my lifetime is about

949
00:56:47,440 --> 00:56:51,080
Speaker 1: that North Hollywood shootout and the hero or one of

950
00:56:51,160 --> 00:56:54,040
Speaker 1: the two heroes is on the side of the police,

951
00:56:54,120 --> 00:56:56,799
Speaker 1: and it's like saying, ship, like let's rock and roll,

952
00:56:57,160 --> 00:57:00,560
Speaker 1: Like when when it's time to like fucking start dooting people.

953
00:57:01,200 --> 00:57:04,440
Speaker 1: Like that's I don't know, like that that's poisonous to

954
00:57:04,520 --> 00:57:07,520
Speaker 1: the culture. Like that's poisonous to how we think about

955
00:57:07,560 --> 00:57:09,440
Speaker 1: this ship and how we think about the police. Like

956
00:57:10,480 --> 00:57:14,040
Speaker 1: and He is a fucking good movie, but uh, that's

957
00:57:14,120 --> 00:57:17,160
Speaker 1: not it's not good for for like the how we

958
00:57:17,240 --> 00:57:20,440
Speaker 1: think about this ship. So I also want to talk

959
00:57:20,480 --> 00:57:23,760
Speaker 1: about because back in June, I believe a lot of

960
00:57:23,800 --> 00:57:26,560
Speaker 1: people were talking about the fact that the Camden Police

961
00:57:26,720 --> 00:57:31,640
Speaker 1: had abolished their police force, reinstated them, build it back

962
00:57:31,680 --> 00:57:35,720
Speaker 1: from the ground up, and so on. Op ed in July,

963
00:57:36,000 --> 00:57:38,000
Speaker 1: like after that story it kind of made the rounds

964
00:57:38,600 --> 00:57:42,120
Speaker 1: pointed out that the abolition of the police was actually

965
00:57:42,240 --> 00:57:46,400
Speaker 1: like part of this Chris Christie austerity measure thing that

966
00:57:46,640 --> 00:57:51,960
Speaker 1: led to the kind of forced growing whider more aggressive.

967
00:57:52,080 --> 00:57:55,880
Speaker 1: There were more complaints about like aggressive police action. The

968
00:57:56,040 --> 00:58:00,280
Speaker 1: thing that actually led to the change that then led

969
00:58:00,320 --> 00:58:04,680
Speaker 1: to fewer aggressive police actions was not that like change

970
00:58:04,800 --> 00:58:09,960
Speaker 1: from on high. It was actually increased pressure applied by

971
00:58:10,040 --> 00:58:13,240
Speaker 1: the Black Lives Matter movement, which enabled the local and

972
00:58:13,320 --> 00:58:16,920
Speaker 1: double a CP chapter to start working with the police

973
00:58:17,040 --> 00:58:22,720
Speaker 1: to change like actual policies and like they instituted a

974
00:58:22,840 --> 00:58:27,439
Speaker 1: de escalation mentoring program. So it's I don't I don't

975
00:58:27,480 --> 00:58:30,840
Speaker 1: know how this got so completely fucked up. There were

976
00:58:30,920 --> 00:58:34,520
Speaker 1: like three different like major news outlets, but this op

977
00:58:34,680 --> 00:58:37,320
Speaker 1: ed was kind of pointing out that it was sort

978
00:58:37,360 --> 00:58:41,480
Speaker 1: of getting it exactly wrong, like it was community based.

979
00:58:41,520 --> 00:58:44,680
Speaker 1: And that's again, like I find that inspiring because for

980
00:58:44,800 --> 00:58:48,560
Speaker 1: the same reason that like the the Cahoots thing is, yeah,

981
00:58:48,600 --> 00:58:51,040
Speaker 1: they're medical experts, but a lot of the ship they're

982
00:58:51,080 --> 00:58:54,840
Speaker 1: doing is just stuff that any neighbor can do for

983
00:58:54,920 --> 00:58:59,320
Speaker 1: another neighbor, like if there's the funding, if there's the organization.

984
00:59:00,040 --> 00:59:03,400
Speaker 1: But yeah, this is from uh this guy's The op

985
00:59:03,560 --> 00:59:07,880
Speaker 1: ed was by this guy, Stephen Danley, who is the director,

986
00:59:08,240 --> 00:59:12,720
Speaker 1: the graduate director of the ms PhD and Public Affairs

987
00:59:13,240 --> 00:59:17,280
Speaker 1: and Community Development at Rutgers University Camden. So he's like

988
00:59:18,040 --> 00:59:20,680
Speaker 1: a the most on the ground expert that you can

989
00:59:20,720 --> 00:59:22,960
Speaker 1: get on the subject and was like, that's not how

990
00:59:23,040 --> 00:59:31,320
Speaker 1: it went right. Actually, can someone from Camden speak owners? Yeah,

991
00:59:31,480 --> 00:59:36,520
Speaker 1: I mean the community organizing, Like that's that's what put

992
00:59:36,600 --> 00:59:39,600
Speaker 1: the put the pressure on them to make the changes,

993
00:59:39,680 --> 00:59:43,680
Speaker 1: and then the fucking police department takes the credit for

994
00:59:43,760 --> 00:59:47,480
Speaker 1: that ship. Think of how how much a difference it

995
00:59:47,480 --> 00:59:50,880
Speaker 1: would make if you, as a person just living in

996
00:59:50,920 --> 00:59:53,360
Speaker 1: your community, knew of someone who is in need and

997
00:59:53,440 --> 00:59:56,560
Speaker 1: you could call. You could instantly call and say, Man,

998
00:59:56,760 --> 00:59:59,240
Speaker 1: my friend really needs a job or you know, I'm

999
00:59:59,360 --> 01:00:03,040
Speaker 1: I really my friend would really benefit from some counseling.

1000
01:00:03,120 --> 01:00:04,960
Speaker 1: Right now. I don't think that they don't know how

1001
01:00:05,000 --> 01:00:07,160
Speaker 1: to they don't know how to access it. But I

1002
01:00:07,240 --> 01:00:09,960
Speaker 1: know if they've had the opportunity, would really help them

1003
01:00:10,400 --> 01:00:13,959
Speaker 1: because so many things we can catch before they really

1004
01:00:14,080 --> 01:00:16,400
Speaker 1: become problems. But the problem is there's no support. So

1005
01:00:16,520 --> 01:00:18,320
Speaker 1: we just were like, yeah, I don't know what they're

1006
01:00:18,320 --> 01:00:20,760
Speaker 1: gonna do. I don't know that they're gonna we so

1007
01:00:20,880 --> 01:00:22,760
Speaker 1: many times as saying we will say is I don't

1008
01:00:22,760 --> 01:00:25,560
Speaker 1: know what the funk they're gonna do because there are

1009
01:00:25,640 --> 01:00:28,680
Speaker 1: no options. So of course the situation will degrade to

1010
01:00:28,840 --> 01:00:33,520
Speaker 1: the point where the whatever the behavior could turn into

1011
01:00:33,600 --> 01:00:35,920
Speaker 1: something that would inspire someone to have to call the

1012
01:00:35,960 --> 01:00:38,680
Speaker 1: police or whatever. But like if you could just say,

1013
01:00:39,200 --> 01:00:41,440
Speaker 1: oh my god, hey I got you, I got you.

1014
01:00:41,840 --> 01:00:45,360
Speaker 1: My friend needs my friend needs drug treatment like yesterday

1015
01:00:45,800 --> 01:00:47,840
Speaker 1: and needs a place to stay. They have no money,

1016
01:00:47,920 --> 01:00:50,120
Speaker 1: But I know if I let them leave my house

1017
01:00:50,240 --> 01:00:51,760
Speaker 1: right now, I don't know what is going to happen

1018
01:00:51,800 --> 01:00:54,960
Speaker 1: to them. Can we figure something out? Even if you

1019
01:00:55,040 --> 01:00:57,920
Speaker 1: had that boom, you don't need police, you're not. You

1020
01:00:58,240 --> 01:01:01,760
Speaker 1: just need to get somebody to support first, and you could.

1021
01:01:02,280 --> 01:01:05,440
Speaker 1: I can't imagine how many, how much how fewer police

1022
01:01:05,480 --> 01:01:07,920
Speaker 1: interaction there would be if we all had access to

1023
01:01:08,040 --> 01:01:11,040
Speaker 1: help those we know that are in need. Yeah, yeah,

1024
01:01:11,360 --> 01:01:14,920
Speaker 1: oh absolutely. And it's it was so frustrating to me

1025
01:01:14,960 --> 01:01:16,919
Speaker 1: about this again, is it? It's like it saves money.

1026
01:01:17,000 --> 01:01:19,080
Speaker 1: So all these people who are running around bitching about

1027
01:01:19,200 --> 01:01:21,560
Speaker 1: like oh the deficit, Oh, we can't spend money or

1028
01:01:21,560 --> 01:01:23,840
Speaker 1: we don't have anything to spend, but then they can

1029
01:01:23,880 --> 01:01:26,760
Speaker 1: find money for cops and they cannot find money anywhere

1030
01:01:26,800 --> 01:01:29,000
Speaker 1: in the budget for mental health services. Like it's just

1031
01:01:29,200 --> 01:01:32,840
Speaker 1: it's it's junk, right, because I think that people also

1032
01:01:32,880 --> 01:01:36,160
Speaker 1: don't think about the fact that like a single crisis

1033
01:01:36,680 --> 01:01:39,480
Speaker 1: right where the cops responded someone dies is tens of

1034
01:01:39,520 --> 01:01:42,480
Speaker 1: millions of dollars that cost the city just just just

1035
01:01:42,960 --> 01:01:46,680
Speaker 1: in like not even like paying the family like some settlement,

1036
01:01:46,800 --> 01:01:50,360
Speaker 1: like not even that, but just in like the paperwork

1037
01:01:50,440 --> 01:01:52,560
Speaker 1: that you have to do right, and the attorneys that

1038
01:01:52,640 --> 01:01:54,480
Speaker 1: you have to hire, and you have to bring in

1039
01:01:54,560 --> 01:01:57,640
Speaker 1: all these people to like check and see like did

1040
01:01:57,760 --> 01:01:59,360
Speaker 1: we do this right or you know, were me in

1041
01:01:59,400 --> 01:02:02,760
Speaker 1: the right? Obviously it's like they pay themselves that money, right,

1042
01:02:02,960 --> 01:02:05,880
Speaker 1: but they're like, we cleared ourselves in what I'm doing.

1043
01:02:05,920 --> 01:02:08,560
Speaker 1: It's fine, you guys, um, But yeah, I think it's

1044
01:02:08,600 --> 01:02:12,520
Speaker 1: like just one one interaction right where you can step

1045
01:02:12,600 --> 01:02:15,919
Speaker 1: in between someone who is having a crisis that could

1046
01:02:16,120 --> 01:02:20,520
Speaker 1: turn violent, either like harming themselves or someone else, and

1047
01:02:21,200 --> 01:02:25,640
Speaker 1: just like that, again, that one interaction saves millions of dollars.

1048
01:02:27,120 --> 01:02:29,640
Speaker 1: I mean, I've it said, like I've known moments or

1049
01:02:29,760 --> 01:02:32,840
Speaker 1: I've been like, oh no, Like I've had friends who live,

1050
01:02:33,720 --> 01:02:36,240
Speaker 1: you know, sometimes they were a little bit out of

1051
01:02:36,320 --> 01:02:39,320
Speaker 1: control of their own lives, and there are moments where

1052
01:02:39,600 --> 01:02:42,040
Speaker 1: I knew I was like, this is not going to

1053
01:02:42,200 --> 01:02:43,760
Speaker 1: end well. Based on what I just heard on this

1054
01:02:43,840 --> 01:02:45,760
Speaker 1: phone call. This is not going to end well. And

1055
01:02:45,880 --> 01:02:49,760
Speaker 1: it didn't not like in anything lethal or anything like that,

1056
01:02:49,880 --> 01:02:54,520
Speaker 1: but a car wreck and you know, injuries and things

1057
01:02:54,600 --> 01:02:59,000
Speaker 1: like that. And you're like, and I don't. I months ago,

1058
01:02:59,160 --> 01:03:01,200
Speaker 1: I wish I was able to get this person into

1059
01:03:01,280 --> 01:03:06,320
Speaker 1: treatment or something or I get I have them, have

1060
01:03:06,440 --> 01:03:08,720
Speaker 1: to find them the ability to speak with somebody that

1061
01:03:08,800 --> 01:03:11,960
Speaker 1: could potentially help them in some way. But yeah, it's

1062
01:03:11,960 --> 01:03:16,840
Speaker 1: just imagine living in a country with a social safety net. Yeah,

1063
01:03:16,880 --> 01:03:18,840
Speaker 1: and really that's what this almost down to. Yeah, like

1064
01:03:18,920 --> 01:03:22,240
Speaker 1: that's all we're we're just all fantasizing about that. Imagine

1065
01:03:22,280 --> 01:03:25,280
Speaker 1: living in a country where rich people pay taxes and

1066
01:03:25,720 --> 01:03:28,000
Speaker 1: people who need help can actually access it. That'd be

1067
01:03:28,080 --> 01:03:29,880
Speaker 1: really cool. I would love to see what that would

1068
01:03:29,920 --> 01:03:34,040
Speaker 1: look like. Yeah, there's social safety net. There's just like

1069
01:03:34,400 --> 01:03:37,280
Speaker 1: it's people on the ground pointing guns at you and

1070
01:03:37,400 --> 01:03:40,680
Speaker 1: being like, don't fall. Don't fall, motherfucker. It's ugly down

1071
01:03:40,760 --> 01:03:45,720
Speaker 1: here that I'm warning you. It's ugly down here, So

1072
01:03:46,000 --> 01:03:48,640
Speaker 1: don't fuck you better not use net because it ain't

1073
01:03:48,680 --> 01:03:51,080
Speaker 1: gonna catch you. Yeah, And I think a lot of

1074
01:03:51,160 --> 01:03:53,640
Speaker 1: that too, is so much of like even how we

1075
01:03:53,760 --> 01:03:59,200
Speaker 1: interact with each other or just treat each other, the environment, animals,

1076
01:03:59,400 --> 01:04:01,080
Speaker 1: it's how much of that has to do with how

1077
01:04:01,120 --> 01:04:03,400
Speaker 1: that what the government is communicating to us as people.

1078
01:04:03,680 --> 01:04:06,120
Speaker 1: Because if we're getting the message it don't matter. I

1079
01:04:06,160 --> 01:04:08,320
Speaker 1: don't know, I don't know what the funk you're gonna do.

1080
01:04:09,040 --> 01:04:13,280
Speaker 1: If that's the message we get from the state, then yeah,

1081
01:04:13,440 --> 01:04:15,880
Speaker 1: that's that's going to permeate throughout the you know, how

1082
01:04:16,000 --> 01:04:19,160
Speaker 1: we treat each other. That everyone absolutely because police are

1083
01:04:19,360 --> 01:04:22,600
Speaker 1: police or leadership, right like, regardless of how we feel

1084
01:04:22,600 --> 01:04:27,440
Speaker 1: about that, Like police in community our leadership and when

1085
01:04:27,480 --> 01:04:31,000
Speaker 1: they see all of us as enemy combatants, not neighbors,

1086
01:04:31,160 --> 01:04:35,560
Speaker 1: not friends, not community members, but like again, a problem

1087
01:04:35,640 --> 01:04:39,480
Speaker 1: to solve. Then we start seeing each other as problems too, right,

1088
01:04:39,560 --> 01:04:41,760
Speaker 1: even without thinking about it, we just kind of get

1089
01:04:41,800 --> 01:04:44,520
Speaker 1: this coding right where it's like, oh this, you know,

1090
01:04:44,680 --> 01:04:47,320
Speaker 1: it's a huge problem in Portland. Obviously, I'm sure many

1091
01:04:47,320 --> 01:04:50,440
Speaker 1: places are dealing with a lot of people being unhoused

1092
01:04:50,560 --> 01:04:55,040
Speaker 1: right now, but there is like there's just this framework

1093
01:04:55,040 --> 01:04:57,160
Speaker 1: where people who are kind of like pro police and

1094
01:04:57,280 --> 01:04:59,439
Speaker 1: like I want the businesses to be safe and whatever,

1095
01:04:59,560 --> 01:05:02,000
Speaker 1: are also like they just see on housed people not

1096
01:05:02,160 --> 01:05:04,640
Speaker 1: as people, but as trash should be taken out right,

1097
01:05:05,120 --> 01:05:09,160
Speaker 1: and the police treat them the exact same way. Yeah. Yeah,

1098
01:05:09,440 --> 01:05:12,840
Speaker 1: it's like, oh, you're crumpled up newspaper with arms and legs, right,

1099
01:05:13,400 --> 01:05:15,080
Speaker 1: That's how I see you. It's not it's not even

1100
01:05:15,120 --> 01:05:17,840
Speaker 1: a human being. When it's it's so like when so

1101
01:05:17,920 --> 01:05:20,680
Speaker 1: many unhoused people are like if I just had an

1102
01:05:20,760 --> 01:05:24,120
Speaker 1: address for like two months, I could get a job.

1103
01:05:24,720 --> 01:05:27,920
Speaker 1: I could start earning money. But the problem is if

1104
01:05:27,960 --> 01:05:30,400
Speaker 1: I don't have a permit, Like there's such little things

1105
01:05:30,480 --> 01:05:33,200
Speaker 1: that are keeping me out of getting employed. On top

1106
01:05:33,280 --> 01:05:35,720
Speaker 1: of the countless failures that have occurred to me because

1107
01:05:35,720 --> 01:05:39,840
Speaker 1: of the state. But if I even had those things

1108
01:05:40,200 --> 01:05:44,480
Speaker 1: that that's a that's enough momentum to begin pulling myself

1109
01:05:44,520 --> 01:05:46,680
Speaker 1: out of the situation I'm in. But we don't fun

1110
01:05:46,800 --> 01:05:49,480
Speaker 1: that because you know, we gotta they gotta fuck some

1111
01:05:49,640 --> 01:05:52,000
Speaker 1: people don't want to fucking have they want to build

1112
01:05:52,040 --> 01:05:54,600
Speaker 1: a new development or some ship, and so that that's

1113
01:05:54,640 --> 01:05:57,439
Speaker 1: why the funding is going to complete the other directions. Yeah,

1114
01:05:57,720 --> 01:05:59,640
Speaker 1: but yeah again, but I think that's what's I think

1115
01:05:59,640 --> 01:06:01,760
Speaker 1: that's what the one thing is. It feels like the

1116
01:06:01,840 --> 01:06:04,280
Speaker 1: solutions are very like we can even idea right now,

1117
01:06:04,360 --> 01:06:06,560
Speaker 1: like imagine if that happened, Imagine if that happened, Imagine

1118
01:06:06,560 --> 01:06:09,400
Speaker 1: if this happened. Basin so well, that's that's another part

1119
01:06:09,480 --> 01:06:12,840
Speaker 1: two that aside from having to actually have build more

1120
01:06:12,920 --> 01:06:15,840
Speaker 1: like mutual aid and you know, taking care of our

1121
01:06:15,840 --> 01:06:18,520
Speaker 1: own communities, but also part and parcel that is to

1122
01:06:18,640 --> 01:06:20,280
Speaker 1: know when you have people who are trying to ask

1123
01:06:20,360 --> 01:06:23,120
Speaker 1: for your support, who are on some bullshit that has

1124
01:06:23,160 --> 01:06:28,160
Speaker 1: absolutely nothing to do with like actual solutions, rather than

1125
01:06:28,240 --> 01:06:31,160
Speaker 1: like how about we how about you'll cash in those

1126
01:06:31,280 --> 01:06:36,160
Speaker 1: tanks for money. M hmm. Maybe you could put cut

1127
01:06:36,200 --> 01:06:38,840
Speaker 1: your tank budget down because the memes have been flying

1128
01:06:38,880 --> 01:06:40,920
Speaker 1: around all over the internet that was like try and

1129
01:06:41,000 --> 01:06:43,200
Speaker 1: guess which photo is the cops and which one is

1130
01:06:43,240 --> 01:06:45,880
Speaker 1: the military, And it's like, jokes on you. They're all

1131
01:06:46,120 --> 01:06:49,280
Speaker 1: cops and they're like in front of fucking armored you know,

1132
01:06:49,440 --> 01:06:51,520
Speaker 1: fucking m wraps and all this other ship. It's just

1133
01:06:52,920 --> 01:06:56,680
Speaker 1: that Brooklyn Center like protest where the cops were like

1134
01:06:57,120 --> 01:07:02,320
Speaker 1: just doing cover formation and just like firing like huge

1135
01:07:02,440 --> 01:07:05,480
Speaker 1: weapons like at these people, like at the people who

1136
01:07:05,520 --> 01:07:10,280
Speaker 1: are organizing. It's just like it couldn't have looked more

1137
01:07:10,440 --> 01:07:15,840
Speaker 1: like a war zone, yeah and more weak. Yeah, yeah, absolutely,

1138
01:07:16,520 --> 01:07:20,040
Speaker 1: all right, Tory. It has been such a pleasure having

1139
01:07:20,120 --> 01:07:23,320
Speaker 1: you as always. Where can people find you and follow you?

1140
01:07:23,800 --> 01:07:27,160
Speaker 1: Thank you? I yeah, y'all are so fun. I'm so

1141
01:07:27,320 --> 01:07:32,320
Speaker 1: happy whenever I get an email like hey, whenever whenever

1142
01:07:32,440 --> 01:07:35,360
Speaker 1: open door? Oh yeah, where can people find me? Apparently

1143
01:07:35,400 --> 01:07:37,800
Speaker 1: I'm online still, so I'm gonna have to work on that.

1144
01:07:38,000 --> 01:07:42,480
Speaker 1: But I'm just at Tori Glass on Twitter and Instagram

1145
01:07:42,560 --> 01:07:48,600
Speaker 1: because I'm an old now apparently because the old fashioned

1146
01:07:48,640 --> 01:07:54,480
Speaker 1: technology social media's yeah. And then speaking of mutual aid,

1147
01:07:54,760 --> 01:07:58,080
Speaker 1: my Patreon that I set up was to pay rent

1148
01:07:58,240 --> 01:08:00,760
Speaker 1: for a black family or an Indigenous family for a year.

1149
01:08:00,880 --> 01:08:03,960
Speaker 1: So that's at white Homework dot com. And if even

1150
01:08:04,040 --> 01:08:06,360
Speaker 1: want to chip in, that would be awesome, because, yeah,

1151
01:08:06,440 --> 01:08:07,800
Speaker 1: we have to take care of each other because no

1152
01:08:07,840 --> 01:08:10,640
Speaker 1: one else is going to. Yeah, I mean until this

1153
01:08:10,760 --> 01:08:14,960
Speaker 1: whole system inverts. Yep, yeah, that we really only have

1154
01:08:15,800 --> 01:08:19,160
Speaker 1: each other in the intim And is there a tweet

1155
01:08:19,320 --> 01:08:21,439
Speaker 1: or some of the work of social media. You've been

1156
01:08:21,560 --> 01:08:25,280
Speaker 1: enjoying the work of social media. I'm going to use

1157
01:08:25,320 --> 01:08:29,360
Speaker 1: that line. That's amazing. It was. It was kind of niche,

1158
01:08:29,479 --> 01:08:33,200
Speaker 1: but um at Skywalker nine said, anyone who says that

1159
01:08:33,240 --> 01:08:35,760
Speaker 1: Portland has been destroyed does not live here and is

1160
01:08:35,760 --> 01:08:38,960
Speaker 1: trying to lie to make a political point. He's like, yeah,

1161
01:08:39,040 --> 01:08:41,160
Speaker 1: that's true, because they keep talking about how we burned

1162
01:08:41,640 --> 01:08:43,400
Speaker 1: our entire city to the ground and now we all

1163
01:08:43,479 --> 01:08:47,600
Speaker 1: just all live in these smoking hobbles. It's like, No,

1164
01:08:47,760 --> 01:08:49,439
Speaker 1: Portland is still one of the most beautiful cities in

1165
01:08:49,479 --> 01:08:51,280
Speaker 1: the country. You can have to check it out. Still here,

1166
01:08:51,560 --> 01:08:55,200
Speaker 1: still standing, despite Antifa and black lives mattering all over,

1167
01:08:56,080 --> 01:08:58,719
Speaker 1: essentially in spite of the police. Like it's literally because

1168
01:08:59,760 --> 01:09:02,120
Speaker 1: all violence assisticated by the cops. I don't know if

1169
01:09:02,760 --> 01:09:05,799
Speaker 1: they're the ones while and now not the people interesting.

1170
01:09:06,040 --> 01:09:07,800
Speaker 1: It's funny. I have a friend of mine who lives

1171
01:09:07,800 --> 01:09:10,400
Speaker 1: in Portland who had a kid recently, and I was like, oh,

1172
01:09:10,439 --> 01:09:12,920
Speaker 1: where should I send the gift to? Just the rubble

1173
01:09:13,000 --> 01:09:15,800
Speaker 1: pile Portland's Will they get to you? You have a

1174
01:09:15,840 --> 01:09:19,280
Speaker 1: home still is a smol drink? Will you find it? Yeah?

1175
01:09:21,280 --> 01:09:24,160
Speaker 1: It's miles Where can people find you? With? Tweet you've

1176
01:09:24,160 --> 01:09:28,920
Speaker 1: been enjoying? Uh? Twitter, Instagram at Miles of Gray. Also

1177
01:09:29,000 --> 01:09:32,839
Speaker 1: the other podcast for twenty Day Fiance. Uh. Some tweets

1178
01:09:33,160 --> 01:09:36,559
Speaker 1: that I like. The first one is from Nicole Thurman

1179
01:09:36,600 --> 01:09:39,599
Speaker 1: at Nicole Thurman tweeting. Every period drama has a scene

1180
01:09:39,600 --> 01:09:42,719
Speaker 1: where a person just like walks around a brothel looking

1181
01:09:42,800 --> 01:09:46,439
Speaker 1: for someone stepping over three people who are intensely fucking Like,

1182
01:09:46,880 --> 01:09:54,840
Speaker 1: has anyone seen Jonathan? This one is from Caleb Heron

1183
01:09:55,160 --> 01:09:58,320
Speaker 1: at Caleb Says Things. It says this all came to

1184
01:09:58,400 --> 01:10:00,160
Speaker 1: me like a fever dream. It just hit me and

1185
01:10:00,200 --> 01:10:02,160
Speaker 1: the next thing I knew, I was at my desk

1186
01:10:02,240 --> 01:10:05,280
Speaker 1: in a Google doc for Jack and Tory. I just

1187
01:10:05,360 --> 01:10:06,880
Speaker 1: put the link in through the chat. I want you

1188
01:10:07,000 --> 01:10:09,000
Speaker 1: to look at this. It's like a way you can

1189
01:10:09,120 --> 01:10:12,679
Speaker 1: build the whole exercise. Here says what a profile about

1190
01:10:12,720 --> 01:10:14,920
Speaker 1: you in a cool publication would be titled, and you

1191
01:10:15,000 --> 01:10:17,720
Speaker 1: based that off your full name, your birth month, and

1192
01:10:17,880 --> 01:10:20,240
Speaker 1: your birth date, So your birth month has a bunch

1193
01:10:20,280 --> 01:10:23,720
Speaker 1: of different top like the headings or beginnings, and then

1194
01:10:23,880 --> 01:10:25,920
Speaker 1: a specific topic for your date, So mine would be

1195
01:10:26,400 --> 01:10:30,679
Speaker 1: Miles Gray looks down on smoking weed in the desert.

1196
01:10:31,040 --> 01:10:34,080
Speaker 1: That that couldn't be further from the truth. Yeah, that's inaccurate.

1197
01:10:34,360 --> 01:10:38,040
Speaker 1: Your horoscope is wrong to what's yours. Okay, let's see

1198
01:10:38,040 --> 01:10:42,880
Speaker 1: here it says, uh so Tory Williams Douglass respects reading

1199
01:10:43,040 --> 01:10:46,280
Speaker 1: Joan Didion. I don't even know who that is. I'm

1200
01:10:46,320 --> 01:10:49,000
Speaker 1: not cool, I'm not culture. You guys apparently so oh

1201
01:10:49,360 --> 01:10:54,400
Speaker 1: Joan profile. As you guys know, Jack O'Brian no longer

1202
01:10:54,640 --> 01:10:59,800
Speaker 1: fears thinking about the two thousand's. Oh that's true. That

1203
01:11:00,280 --> 01:11:03,639
Speaker 1: kind of that that vibes well. Um. And then lastly,

1204
01:11:03,840 --> 01:11:07,360
Speaker 1: just because you know we're millennials, Matt Pierce at Matt

1205
01:11:07,439 --> 01:11:10,599
Speaker 1: Deep here says they call us millennials because we've been

1206
01:11:10,640 --> 01:11:18,519
Speaker 1: alive for a thousand years. I love some good grizzled shit,

1207
01:11:19,400 --> 01:11:23,880
Speaker 1: good grizzled content you can find me on Twitter at

1208
01:11:23,960 --> 01:11:28,160
Speaker 1: Jack Underscore O'Brien. A couple of tweets I liked Scotty

1209
01:11:28,280 --> 01:11:33,400
Speaker 1: two Snotty at not not Scotty tweeted cash here, would

1210
01:11:33,400 --> 01:11:36,040
Speaker 1: you like to donate to help fight kids? Me let

1211
01:11:36,120 --> 01:11:41,400
Speaker 1: me stop you right there? Yes and I had I'm serious,

1212
01:11:42,160 --> 01:11:45,200
Speaker 1: tweeted keep the same friend group for years, called that

1213
01:11:45,400 --> 01:11:51,840
Speaker 1: homieo stasis. Oh so sweet. Imagine having the same friend

1214
01:11:51,880 --> 01:11:55,800
Speaker 1: group for you know. Uh. You can find us on

1215
01:11:55,880 --> 01:11:59,160
Speaker 1: Twitter at daily Zeitgeist for at the Daily Zeitgeist on Instagram,

1216
01:11:59,240 --> 01:12:02,200
Speaker 1: we have Facebook, v page and a website Daily's like

1217
01:12:02,280 --> 01:12:04,960
Speaker 1: guys dot com where he post are episodes and our

1218
01:12:05,040 --> 01:12:08,120
Speaker 1: foot Nope. We link off to the information that we

1219
01:12:08,200 --> 01:12:10,760
Speaker 1: talked about in today's episode, as well as a song

1220
01:12:11,280 --> 01:12:16,840
Speaker 1: that we think you should check out. Miles what what

1221
01:12:17,000 --> 01:12:20,960
Speaker 1: songs should the people check out? This is from the books,

1222
01:12:21,400 --> 01:12:25,519
Speaker 1: which is, you know, like they're electronic. Their first album,

1223
01:12:25,720 --> 01:12:28,120
Speaker 1: I think the Lemon of Pink. I found out like

1224
01:12:28,200 --> 01:12:30,439
Speaker 1: this like early college days and I'm like, yo, you've

1225
01:12:30,560 --> 01:12:32,320
Speaker 1: heard this. I'm like, is it hip hop? And they're

1226
01:12:32,360 --> 01:12:34,240
Speaker 1: like no, and I'm like, dang, miss me with that.

1227
01:12:34,960 --> 01:12:36,640
Speaker 1: And then you know, like but then it takes like

1228
01:12:36,840 --> 01:12:38,760
Speaker 1: a weird album you listen to and you're like, oh,

1229
01:12:38,920 --> 01:12:41,600
Speaker 1: this is kind of weird. And I was just like

1230
01:12:41,680 --> 01:12:43,559
Speaker 1: listening to like an old playlist in this song came up.

1231
01:12:43,600 --> 01:12:45,840
Speaker 1: It's called Tokyo and the way a lot of their

1232
01:12:45,880 --> 01:12:49,519
Speaker 1: tracks are just super interesting samples chopped up, but not

1233
01:12:49,680 --> 01:12:51,880
Speaker 1: in the way you know Primo would do on a

1234
01:12:51,920 --> 01:12:55,880
Speaker 1: gangstar beat, very like cut and paste interesting textures. And

1235
01:12:55,920 --> 01:12:57,439
Speaker 1: I really like this because there's a lot of sounds

1236
01:12:57,479 --> 01:13:00,439
Speaker 1: from Japan in it. So this is Tokyo by the books.

1237
01:13:01,439 --> 01:13:04,519
Speaker 1: That sounds dope, all right, go check that out. The

1238
01:13:04,600 --> 01:13:06,639
Speaker 1: Daily's like you guys, a production of My Heart Radio.

1239
01:13:06,720 --> 01:13:08,720
Speaker 1: For more podcasts from My Heart Radio, visit the I

1240
01:13:08,800 --> 01:13:12,200
Speaker 1: Heart Radio app, Apple podcast, or wherever the hell you

1241
01:13:12,320 --> 01:13:15,000
Speaker 1: listen to your favorite shows. That's gonna do it for

1242
01:13:15,400 --> 01:13:18,240
Speaker 1: this morning. We're back this afternoon to tell you what's trending,

1243
01:13:18,640 --> 01:13:21,479
Speaker 1: and we'll talk to you all then. Bye bye bye