1
00:00:00,200 --> 00:00:03,480
Speaker 1: Hello the Internet, and welcome to this episode of The

2
00:00:03,560 --> 00:00:07,880
Speaker 1: Weekly Zeitgeist. Uh These are some of our favorite segments

3
00:00:08,160 --> 00:00:14,880
Speaker 1: from this week, all edited together into one NonStop infotainment

4
00:00:16,079 --> 00:00:22,440
Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is

5
00:00:22,720 --> 00:00:27,120
Speaker 1: the Weekly Zeitgeist. Well, Miles, We're thrilled to be joined

6
00:00:27,160 --> 00:00:29,600
Speaker 1: in our third seat by a very talented actor, producer,

7
00:00:29,600 --> 00:00:32,839
Speaker 1: and activist. He originated the role of Aven, the Pulitzer

8
00:00:32,840 --> 00:00:36,400
Speaker 1: Prize winning and Tony nominator played Disgraced. That's where I

9
00:00:36,440 --> 00:00:38,559
Speaker 1: know him from because I'm copy. But of course we

10
00:00:38,600 --> 00:00:40,800
Speaker 1: also know him as Simon Drake on How to Get

11
00:00:40,840 --> 00:00:43,680
Speaker 1: Away with Murder. I'm here on the shot from TV

12
00:00:43,720 --> 00:00:46,519
Speaker 1: shows like The Good Place Chicago PD Ever heard of him.

13
00:00:46,560 --> 00:00:49,280
Speaker 1: He's also a founding member of the Chicago Inclusion Project,

14
00:00:49,400 --> 00:00:53,480
Speaker 1: which seeks to provide resources for underrepresented people in the arts.

15
00:00:53,880 --> 00:01:00,400
Speaker 1: It's Bezi Double. I'm so happy to be back again.

16
00:01:00,480 --> 00:01:04,440
Speaker 1: I love doing this podcast, man, we love having you.

17
00:01:04,440 --> 00:01:07,200
Speaker 1: Good seeing you, man, God seeing you too. Where are

18
00:01:07,200 --> 00:01:09,160
Speaker 1: you right now? I'm in Los Angeles? But I want

19
00:01:09,160 --> 00:01:11,839
Speaker 1: to chime in on the thing that, like I wish

20
00:01:11,920 --> 00:01:14,680
Speaker 1: NASA scientists would create more of and I could never

21
00:01:14,720 --> 00:01:21,400
Speaker 1: have too much of and for me, that is cilantro flavoring. Oh.

22
00:01:22,000 --> 00:01:25,240
Speaker 1: I love when something has cilantro and it. I had

23
00:01:25,240 --> 00:01:27,320
Speaker 1: a chicken curry the other day with cilantro in it,

24
00:01:27,360 --> 00:01:32,920
Speaker 1: and I was like, more cilantro. They're like, you just

25
00:01:33,160 --> 00:01:37,679
Speaker 1: ate a mouthful of cilantro, sir, more cilantro you want? Yeah,

26
00:01:37,680 --> 00:01:40,560
Speaker 1: you want the molecular gastronomy where like they take you know,

27
00:01:40,600 --> 00:01:43,480
Speaker 1: like seven thousand pounds of cilantro and then put it

28
00:01:43,480 --> 00:01:46,039
Speaker 1: into like one like tic tac shaped thing and you're

29
00:01:46,080 --> 00:01:48,960
Speaker 1: like your mouth may not recover from this, and you're like, please,

30
00:01:49,480 --> 00:01:53,120
Speaker 1: there's a dish. I'm not sponsored by this restaurant. But

31
00:01:53,160 --> 00:01:55,640
Speaker 1: there's a restaurant called Chinchin. It's like Chinese Foo. They

32
00:01:55,640 --> 00:01:57,880
Speaker 1: have one in Beverly Hills. They have one in Studio City. Yeah,

33
00:01:57,880 --> 00:02:00,520
Speaker 1: it's like a chain from the but yeah, so so

34
00:02:00,560 --> 00:02:03,040
Speaker 1: they got the restaurant. So, you know, the other day,

35
00:02:03,080 --> 00:02:04,960
Speaker 1: I was like just hungry, ordered something and they have

36
00:02:05,040 --> 00:02:08,120
Speaker 1: this thing called Anthony's Special Noodles Attention and I was like, well,

37
00:02:08,120 --> 00:02:10,919
Speaker 1: what's special about Anthony and like why is the noodle special?

38
00:02:11,120 --> 00:02:12,880
Speaker 1: But it really just they have they put a cilantro

39
00:02:13,000 --> 00:02:14,639
Speaker 1: dressing on it. I was like, let me get that

40
00:02:15,280 --> 00:02:20,720
Speaker 1: these noodles were delicious. Oh man, so and it had

41
00:02:20,800 --> 00:02:23,079
Speaker 1: adequate cilant I mean, what's what do you what? What's

42
00:02:23,080 --> 00:02:24,680
Speaker 1: how are their levels to it? I mean like most

43
00:02:24,680 --> 00:02:26,960
Speaker 1: of time we see it as a garnet garnish. I go,

44
00:02:27,000 --> 00:02:28,600
Speaker 1: if you go to like a taktia, like it's gonna

45
00:02:28,600 --> 00:02:30,960
Speaker 1: be with onions chopped up, Like how do you want

46
00:02:31,000 --> 00:02:33,000
Speaker 1: like in your mind in the ideal world, are you

47
00:02:33,040 --> 00:02:35,640
Speaker 1: just saying handfuls of cilantro on top of stuff that

48
00:02:35,720 --> 00:02:38,240
Speaker 1: doesn't that doesn't deter me? Like when you get when

49
00:02:38,240 --> 00:02:39,800
Speaker 1: you get like a taco off a food truck and

50
00:02:39,800 --> 00:02:42,160
Speaker 1: there's like almost like a whole like vine of cilantro

51
00:02:42,919 --> 00:02:45,560
Speaker 1: that I got the good flavor, but you don't mind stem,

52
00:02:45,680 --> 00:02:48,800
Speaker 1: you don't. I don't mind the stem at all. I

53
00:02:48,800 --> 00:02:50,679
Speaker 1: don't mind the stem, but the stem kind of gives

54
00:02:50,680 --> 00:02:54,000
Speaker 1: a little crunch. But the cilantro noodles, it was like

55
00:02:54,080 --> 00:02:56,320
Speaker 1: more than just a garnish, Like there was cilantro like

56
00:02:56,919 --> 00:02:59,320
Speaker 1: flavor and the noodles, And I like that because you

57
00:02:59,320 --> 00:03:02,040
Speaker 1: don't really get that flavor with like Asian dishes always.

58
00:03:02,040 --> 00:03:04,760
Speaker 1: So that was that was pretty great anyway, that was

59
00:03:04,800 --> 00:03:08,560
Speaker 1: just listening to you talk about cilantro has convinced me

60
00:03:08,639 --> 00:03:11,560
Speaker 1: that I have the soap thing, you know, the you

61
00:03:11,600 --> 00:03:14,880
Speaker 1: know the like some people taste cilantro and they're like

62
00:03:15,280 --> 00:03:18,679
Speaker 1: that tastes like like soap water. Like I was gonna say, oh,

63
00:03:18,760 --> 00:03:21,679
Speaker 1: have you tried the Mountain Dew flavor soap water that's

64
00:03:21,680 --> 00:03:25,200
Speaker 1: cilantro based, But I didn't say that because I think

65
00:03:25,240 --> 00:03:28,960
Speaker 1: there's just like when you look up like Cilantro flavor

66
00:03:29,040 --> 00:03:32,799
Speaker 1: first article, why does cilantro taste like soap? And they

67
00:03:32,919 --> 00:03:35,680
Speaker 1: treat it like it's a like it's a preference for

68
00:03:35,720 --> 00:03:38,880
Speaker 1: those who appreciate it. Cilantro tastes like but I don't

69
00:03:38,880 --> 00:03:42,120
Speaker 1: think it's appreciation because like when I've never had cilantro

70
00:03:42,200 --> 00:03:46,120
Speaker 1: and tested, it tasted something that is citrusy, which is

71
00:03:46,160 --> 00:03:48,280
Speaker 1: what I'm seeing people describe it as. It does not

72
00:03:48,320 --> 00:03:50,160
Speaker 1: at all tastes like soap to me. But what does

73
00:03:50,240 --> 00:03:53,840
Speaker 1: taste like toothpaste to me is root beer. And I

74
00:03:53,880 --> 00:03:55,880
Speaker 1: think that's the thing too, Like root beer to me

75
00:03:56,080 --> 00:04:00,000
Speaker 1: is just toothpaste. It tastes like crash. WHOA. I think

76
00:04:00,040 --> 00:04:02,360
Speaker 1: you might be right. I think I think that might

77
00:04:02,440 --> 00:04:05,840
Speaker 1: just be preference, and you putting that in people's heads

78
00:04:05,960 --> 00:04:09,480
Speaker 1: might have just infected them and ruined root beer. Because

79
00:04:09,520 --> 00:04:12,680
Speaker 1: I'm thinking about the taste of root beer and I'm like, damn,

80
00:04:13,400 --> 00:04:17,400
Speaker 1: that is the problem with root beer. It's like I

81
00:04:17,480 --> 00:04:20,880
Speaker 1: do too. But like I thought about that ship, it

82
00:04:21,000 --> 00:04:24,080
Speaker 1: does have like a minty crest flavor to it. Well,

83
00:04:24,120 --> 00:04:27,679
Speaker 1: they said, if it depends, but likely the shared ingredient

84
00:04:27,800 --> 00:04:31,400
Speaker 1: is winter green, which is like some like an extra

85
00:04:31,480 --> 00:04:36,640
Speaker 1: winter beer of root. Yeah. It's just interesting what our

86
00:04:36,680 --> 00:04:38,560
Speaker 1: brains like attached to because for me, like I take

87
00:04:38,600 --> 00:04:40,479
Speaker 1: a sip root beer and I'm like, that's when I

88
00:04:40,480 --> 00:04:45,039
Speaker 1: brushed my teeth, Like I brushed my teeth with But that, yeah,

89
00:04:45,240 --> 00:04:46,760
Speaker 1: it gets it gets you all funked up, and you

90
00:04:46,760 --> 00:04:48,720
Speaker 1: start brushing your teeth with a root beer because you're

91
00:04:48,760 --> 00:04:51,840
Speaker 1: so confused. Your dentists like cavities based on what are

92
00:04:51,880 --> 00:04:54,240
Speaker 1: you doing, Like I brush with root beer when it's

93
00:04:54,240 --> 00:04:57,920
Speaker 1: a similar frothy foam that comes about when you're really

94
00:04:57,960 --> 00:05:01,320
Speaker 1: getting down on some tooth brushing. And also just what

95
00:05:01,440 --> 00:05:03,919
Speaker 1: what naturally happens on the type of root here, I

96
00:05:04,000 --> 00:05:07,480
Speaker 1: have gone from ever appreciating root beer to ginger beer.

97
00:05:07,560 --> 00:05:09,719
Speaker 1: I like a ginger. Yeah, I like that. I don't

98
00:05:09,800 --> 00:05:13,640
Speaker 1: drink I like ginger becker as my I like the bite.

99
00:05:13,800 --> 00:05:16,240
Speaker 1: And you can't make it spicy enough. You can't. You

100
00:05:16,279 --> 00:05:20,160
Speaker 1: can't do it. Okay, you can't give it to me.

101
00:05:20,720 --> 00:05:23,880
Speaker 1: Tell me the spicy ginger beer. I mean, I feel

102
00:05:23,920 --> 00:05:26,919
Speaker 1: like in order of like spice factor, I feel like

103
00:05:27,000 --> 00:05:29,880
Speaker 1: Reads is pretty good. I think Reads is the one

104
00:05:29,920 --> 00:05:34,200
Speaker 1: that has the like version that is pretty commonly available,

105
00:05:34,240 --> 00:05:36,240
Speaker 1: that says spicy on it. And that's the one that

106
00:05:36,320 --> 00:05:39,599
Speaker 1: I've funk with them most. Cock and Bull also has good,

107
00:05:39,800 --> 00:05:42,800
Speaker 1: has bite to it too. I haven't. Oh no, Reads

108
00:05:42,880 --> 00:05:46,960
Speaker 1: is not the one Reads Reads extra that that's the

109
00:05:47,000 --> 00:05:49,760
Speaker 1: one that I I have. It introduced me to ginger

110
00:05:49,800 --> 00:05:53,200
Speaker 1: beer and has since I've Okay, so where do you

111
00:05:53,200 --> 00:05:55,080
Speaker 1: want ginger beer? O? G what do you? What do

112
00:05:55,120 --> 00:05:56,919
Speaker 1: you mean? I gotta, I gotta, I gotta find it.

113
00:05:56,960 --> 00:05:59,200
Speaker 1: You gotta let me do some research here. Like what

114
00:05:59,279 --> 00:06:00,800
Speaker 1: I do is I take a whole ginger I still

115
00:06:00,800 --> 00:06:02,880
Speaker 1: get in a two leader of sprite for seven days.

116
00:06:03,680 --> 00:06:06,159
Speaker 1: Jack says that there couldn't be that. He wants NASA

117
00:06:06,240 --> 00:06:10,839
Speaker 1: scientists to inject all the ginger now I have had

118
00:06:10,880 --> 00:06:14,360
Speaker 1: like concentrated ginger juice or like whatever you get the

119
00:06:14,640 --> 00:06:18,160
Speaker 1: smoothie bar, and that is painful and mean that they

120
00:06:18,200 --> 00:06:20,560
Speaker 1: even served that because they know people are coming in

121
00:06:20,680 --> 00:06:23,280
Speaker 1: being like, oh, I've I've enjoyed ginger on sushi, I've

122
00:06:23,360 --> 00:06:28,000
Speaker 1: enjoyed ginger beer and that just tastes like concentrated pain.

123
00:06:28,760 --> 00:06:32,080
Speaker 1: So maybe I just haven't had the right ginger beer

124
00:06:32,200 --> 00:06:34,800
Speaker 1: that like like puts me in my place. I think

125
00:06:34,839 --> 00:06:37,720
Speaker 1: the thing I'm thinking of his main root ginger beer,

126
00:06:37,839 --> 00:06:41,600
Speaker 1: which has the that's available at like you know, ralps

127
00:06:41,640 --> 00:06:47,440
Speaker 1: and Whole Foods and has a spicy variety. You might say, yes,

128
00:06:47,960 --> 00:06:52,800
Speaker 1: my favorite word today's bonus word? Yes, yes, jackis We

129
00:06:52,880 --> 00:06:55,679
Speaker 1: do like to ask our guest what is something from

130
00:06:55,760 --> 00:07:04,120
Speaker 1: your search history? Everyone have some sad news, and when

131
00:07:04,120 --> 00:07:09,920
Speaker 1: I say sad, I'm very upset. But as of last week,

132
00:07:11,320 --> 00:07:15,360
Speaker 1: uh me and Donald Trump have something in common. We

133
00:07:15,520 --> 00:07:21,040
Speaker 1: have both been permanently banned from Twitter dot com both

134
00:07:21,240 --> 00:07:25,080
Speaker 1: I got the Trump band as in they permanently suspended

135
00:07:25,120 --> 00:07:29,160
Speaker 1: my account and say you can't make new accounts, although

136
00:07:29,200 --> 00:07:31,320
Speaker 1: I will but you will see how that works. But

137
00:07:31,440 --> 00:07:33,640
Speaker 1: you can't make new accounts. Would you like to know

138
00:07:34,440 --> 00:07:37,240
Speaker 1: and so my search history. I've been looking ways to

139
00:07:37,320 --> 00:07:41,920
Speaker 1: get your band and your suspension reversed. That is what

140
00:07:42,080 --> 00:07:45,320
Speaker 1: I've been looking at. I have appealed it, I've gotten

141
00:07:45,600 --> 00:07:50,240
Speaker 1: denied twice. They say now you're gonna stay banned. So

142
00:07:50,320 --> 00:07:54,000
Speaker 1: if anybody out there has a contact at Twitter, hit

143
00:07:54,040 --> 00:07:56,720
Speaker 1: me up on Instagram, or some ship hits your boy up,

144
00:07:56,760 --> 00:07:59,880
Speaker 1: I'm trying to get it back. Here's why I got banned.

145
00:08:00,360 --> 00:08:03,679
Speaker 1: I have to it's you. You, you know, came within

146
00:08:03,840 --> 00:08:08,480
Speaker 1: inches of bringing us civilization to his needs, overturning the

147
00:08:08,520 --> 00:08:13,679
Speaker 1: electoral process with just massive conspiracy theories that caused people

148
00:08:13,720 --> 00:08:18,280
Speaker 1: to murder other people based on the company you're keeping. No, no, no,

149
00:08:18,360 --> 00:08:20,360
Speaker 1: it was something much worse than that. I did something

150
00:08:20,560 --> 00:08:24,080
Speaker 1: even worse than that. So on the day of the

151
00:08:24,080 --> 00:08:28,160
Speaker 1: shooting in Texas where all the children lost their lives

152
00:08:28,280 --> 00:08:33,520
Speaker 1: due to our obsession with guns in this country, some

153
00:08:34,600 --> 00:08:40,600
Speaker 1: bitch wrote online, you know, despite what and and I'm

154
00:08:40,640 --> 00:08:46,839
Speaker 1: using the words, but yeah, yeah, it was a dude.

155
00:08:47,040 --> 00:08:48,760
Speaker 1: I'm just gonna call him a bitch because that's what

156
00:08:48,840 --> 00:08:54,520
Speaker 1: he is. He wrote, despite what happened today, this is

157
00:08:54,559 --> 00:08:57,400
Speaker 1: still the greatest country in the world to live in,

158
00:08:58,400 --> 00:09:01,360
Speaker 1: and people from all over the world would love to

159
00:09:01,400 --> 00:09:05,360
Speaker 1: live here. That's what this motherfucker wrote. So I should

160
00:09:05,360 --> 00:09:07,160
Speaker 1: have ignored it, you know what I'm saying. It was

161
00:09:07,200 --> 00:09:09,600
Speaker 1: a blue check mark. I should have ignored it. But

162
00:09:09,800 --> 00:09:14,679
Speaker 1: I just wrote. I wrote, I hope you stub your toe.

163
00:09:15,640 --> 00:09:19,040
Speaker 1: I hope your knees always hurt, and I hope you

164
00:09:19,080 --> 00:09:21,400
Speaker 1: always have a piece of hair stuck in your throat.

165
00:09:21,880 --> 00:09:24,880
Speaker 1: For saying that dumbass ship about children getting murdered, that

166
00:09:24,960 --> 00:09:28,239
Speaker 1: was my tweet, and within ten minutes I got permanently

167
00:09:28,280 --> 00:09:35,040
Speaker 1: banned from Twitter for inciting physical, exciting physical harm and

168
00:09:35,200 --> 00:09:39,400
Speaker 1: violence against other people and abuse. I got permanently banned,

169
00:09:40,000 --> 00:09:43,320
Speaker 1: been twice denied for a reversal of my permanent band

170
00:09:43,600 --> 00:09:45,920
Speaker 1: for telling someone I hope you stub your toe and

171
00:09:45,920 --> 00:09:47,839
Speaker 1: you have a piece of hair stuck in your throat.

172
00:09:48,320 --> 00:09:52,160
Speaker 1: They said I was not promoting other people. They're right

173
00:09:52,320 --> 00:09:56,800
Speaker 1: to have their own views, and I responded with abuse

174
00:09:57,080 --> 00:10:01,160
Speaker 1: and violence and wish of physical harm arm and I

175
00:10:01,280 --> 00:10:05,560
Speaker 1: have been permanently banned from Twitter, the same Twitter account

176
00:10:05,559 --> 00:10:09,200
Speaker 1: where I where I report people who have called me

177
00:10:09,480 --> 00:10:14,480
Speaker 1: nigger hard are and just put spaces in between, and

178
00:10:14,559 --> 00:10:17,800
Speaker 1: Twitter comes back and says they haven't violated any rules

179
00:10:18,920 --> 00:10:23,720
Speaker 1: people there. Yeah, report to somebody who said, who said,

180
00:10:24,040 --> 00:10:27,199
Speaker 1: you know what, I hope they don't overturn Roe v.

181
00:10:27,360 --> 00:10:31,480
Speaker 1: Wade because black women get abortions the most, and with abortions,

182
00:10:31,520 --> 00:10:35,080
Speaker 1: that's less black children. I reported that they told me

183
00:10:35,600 --> 00:10:43,080
Speaker 1: this does not violate Twitter rules, saying stubble toe terminally

184
00:10:43,080 --> 00:10:45,840
Speaker 1: banned from Twitter. What you're talking, Matt? I think that

185
00:10:45,920 --> 00:10:49,960
Speaker 1: was Matt Iglesias who said that. Remember seeing that and

186
00:10:50,520 --> 00:10:54,520
Speaker 1: having the wish in my heart that he would stub

187
00:10:54,600 --> 00:10:58,160
Speaker 1: his toe and feel like he has son something stuck

188
00:10:58,200 --> 00:11:01,640
Speaker 1: in his throat, maybe even inhale through his nose a

189
00:11:01,640 --> 00:11:06,120
Speaker 1: little black pepper and sneeze for a couple of hours

190
00:11:05,280 --> 00:11:09,800
Speaker 1: to crazy man. But that's that's what it is. That's

191
00:11:09,960 --> 00:11:16,440
Speaker 1: uh interesting Twitter, ain't it. Ain't it grand? So that's

192
00:11:16,480 --> 00:11:19,240
Speaker 1: my search history. That's been my search history. But outside

193
00:11:19,240 --> 00:11:24,600
Speaker 1: of you know, porn, uh, you know, let's be real,

194
00:11:24,679 --> 00:11:26,560
Speaker 1: I'm still I'm still looking for porn. You know, I'm

195
00:11:26,600 --> 00:11:29,480
Speaker 1: still looking for the perfect porn. If anybody out there

196
00:11:29,559 --> 00:11:32,360
Speaker 1: knows the perfect porn, let me know. And you know, listen,

197
00:11:32,400 --> 00:11:36,960
Speaker 1: we all have our sexual preferences. I I enjoy the

198
00:11:37,080 --> 00:11:39,640
Speaker 1: view of a beautiful lady in my porn. So if

199
00:11:39,640 --> 00:11:41,640
Speaker 1: you got the perfect porn, send it to me. I

200
00:11:41,679 --> 00:11:46,120
Speaker 1: want to know. Also beautiful, just beautiful woman. You know,

201
00:11:46,200 --> 00:11:52,160
Speaker 1: beautiful women, beautiful women. Uh, I don't like black dot com. Uh,

202
00:11:52,200 --> 00:12:01,880
Speaker 1: don't see very specific. Once we're off topic, we're getting

203
00:12:01,920 --> 00:12:05,360
Speaker 1: off topic. Yeah, man, So that's my flight, that's that's

204
00:12:05,400 --> 00:12:07,160
Speaker 1: part of the reason I don't have songs in my

205
00:12:07,200 --> 00:12:11,160
Speaker 1: heart today. I think this has accidentally given the show

206
00:12:11,520 --> 00:12:13,920
Speaker 1: a great vine um. And I'm just going to take

207
00:12:13,960 --> 00:12:18,480
Speaker 1: a small sip of this buttery shard and ask you

208
00:12:18,679 --> 00:12:22,440
Speaker 1: buttery shardonnet. Then I'll ask you what is something you

209
00:12:22,480 --> 00:12:27,480
Speaker 1: think is overrated? Right now, I'm screaming at George Washington.

210
00:12:28,160 --> 00:12:31,280
Speaker 1: I think he is overrated. I think his shitty little

211
00:12:31,360 --> 00:12:35,640
Speaker 1: voting parties and his teeth are very overrated. I think

212
00:12:35,840 --> 00:12:41,040
Speaker 1: American history it's overrated. I think they're lying. I think

213
00:12:41,080 --> 00:12:44,280
Speaker 1: it's full of lies. Wow, this is why people, this

214
00:12:44,400 --> 00:12:47,800
Speaker 1: is white people buy guns. This is a This is

215
00:12:47,800 --> 00:12:51,320
Speaker 1: a very incendiary take on George Washington Tame Morning Show

216
00:12:51,360 --> 00:12:54,280
Speaker 1: because we love George Washington, one of our founding fathers.

217
00:12:54,920 --> 00:12:57,520
Speaker 1: But that is true. His teeth were not made of

218
00:12:57,520 --> 00:12:59,560
Speaker 1: wood and and and maybe it's the time we do

219
00:12:59,600 --> 00:13:04,640
Speaker 1: except out as a country. I refuse not on my watch,

220
00:13:06,200 --> 00:13:08,280
Speaker 1: always like to push pull of the host is like

221
00:13:08,360 --> 00:13:10,640
Speaker 1: you're about to get like you're about to figure it out,

222
00:13:10,679 --> 00:13:14,520
Speaker 1: and you're like, I refuse to believe that American imperialisms

223
00:13:14,679 --> 00:13:17,440
Speaker 1: the cause of that doesn't sound like the George that

224
00:13:17,559 --> 00:13:20,360
Speaker 1: I don't know, but I have been told about in

225
00:13:21,040 --> 00:13:26,959
Speaker 1: numerous books with the gold behinding that are illustrated with cartoons. Yes,

226
00:13:27,480 --> 00:13:30,160
Speaker 1: it was his wife Martha that made the flag? Right?

227
00:13:30,880 --> 00:13:34,160
Speaker 1: Was that it Martha? I don't that's I think it

228
00:13:34,320 --> 00:13:37,240
Speaker 1: was Susan b. Anthony. They made the flag with the

229
00:13:37,280 --> 00:13:42,240
Speaker 1: circle at all the stars? Am I wrong? Am I wrong? Ross?

230
00:13:42,440 --> 00:13:45,840
Speaker 1: Wasn't it? Ross? That was a trick I played on

231
00:13:45,920 --> 00:13:52,079
Speaker 1: both of you. I know, very clever. Aday. You think

232
00:13:52,120 --> 00:13:58,040
Speaker 1: I get a funk about fuck Betsy Ross? Whoa? Whoa?

233
00:13:58,880 --> 00:14:01,720
Speaker 1: What I have normal morning? Shell? You can't come up

234
00:14:01,720 --> 00:14:07,720
Speaker 1: to me talking about politics. I'm drunk my birthday? What guy?

235
00:14:07,880 --> 00:14:12,880
Speaker 1: Is something you think is underrated? Now? Underrated for me?

236
00:14:14,000 --> 00:14:17,160
Speaker 1: Is it's not all of Facebook, which I think is

237
00:14:17,200 --> 00:14:20,320
Speaker 1: probably a net bad even though me and Mark go

238
00:14:20,480 --> 00:14:25,000
Speaker 1: way back. But Facebook memories, I love that stuff. It

239
00:14:25,160 --> 00:14:29,680
Speaker 1: stores all of my UM digital memories. I found a

240
00:14:29,680 --> 00:14:31,640
Speaker 1: set of update this morning. It's the only reason I

241
00:14:31,760 --> 00:14:34,120
Speaker 1: checked Facebook is to see what I was up to

242
00:14:34,240 --> 00:14:39,120
Speaker 1: seven years ago, ten years ago. Cast guy that's right,

243
00:14:39,440 --> 00:14:43,280
Speaker 1: Guy Montgomery is at a party, and now the bottom

244
00:14:43,400 --> 00:14:46,680
Speaker 1: says that's all for today. That's my only memory ever

245
00:14:46,800 --> 00:14:49,120
Speaker 1: made on this day was fourty years ago. I was

246
00:14:49,160 --> 00:14:51,480
Speaker 1: at a party, and I wish I'd use more descriptive

247
00:14:51,560 --> 00:14:55,760
Speaker 1: language because I can't remember a single detail that's based

248
00:14:55,800 --> 00:14:57,800
Speaker 1: on a check in where you said at a party

249
00:14:57,920 --> 00:15:00,200
Speaker 1: and that that was it. It wasn't a check again,

250
00:15:00,440 --> 00:15:03,200
Speaker 1: And I'd never smartphone in two thousand a night, it

251
00:15:03,320 --> 00:15:05,200
Speaker 1: was either a party I was hosting, or I went

252
00:15:05,240 --> 00:15:09,160
Speaker 1: onto someone's laptop and posted this. I got really into

253
00:15:09,200 --> 00:15:14,840
Speaker 1: posting very boring banal stand us updates. And you know

254
00:15:15,440 --> 00:15:17,320
Speaker 1: the other thing I do is I'd like to check

255
00:15:17,520 --> 00:15:21,360
Speaker 1: my historic status updates for any UM, you know, any

256
00:15:21,440 --> 00:15:24,360
Speaker 1: crazy stuff I was doing. Like I think I got

257
00:15:24,400 --> 00:15:27,520
Speaker 1: Facebook sixteen years ago. I had no idea I was

258
00:15:27,520 --> 00:15:30,880
Speaker 1: going to leave a digital footprint up until now. You know,

259
00:15:31,360 --> 00:15:33,440
Speaker 1: we had no conception that everyone was going to be

260
00:15:33,520 --> 00:15:37,000
Speaker 1: able to look at everything we ever wrote that's crazy.

261
00:15:38,280 --> 00:15:45,640
Speaker 1: I'm looking at I saw what mine was eight because

262
00:15:45,840 --> 00:15:48,120
Speaker 1: you know, back then it would say Miles Gray says,

263
00:15:48,200 --> 00:15:50,640
Speaker 1: like the format was almost like this person said, and

264
00:15:50,680 --> 00:15:55,840
Speaker 1: it was like Miles Gray says, fight apathy or don't. Yeah,

265
00:15:56,400 --> 00:15:59,480
Speaker 1: my man, now that's a good gear. I was in

266
00:15:59,560 --> 00:16:05,320
Speaker 1: my bad I was at a party. You were fighting

267
00:16:05,320 --> 00:16:08,920
Speaker 1: empathy but indifferent to what other people were doing or whatever.

268
00:16:09,000 --> 00:16:13,120
Speaker 1: You know, we were live in our lives. I have

269
00:16:13,560 --> 00:16:19,600
Speaker 1: not been on Facebook in an extremely long time. Wow, yeah,

270
00:16:19,600 --> 00:16:22,720
Speaker 1: I get the I get the smartphone like the Apple

271
00:16:23,760 --> 00:16:28,400
Speaker 1: Memories updates that are like remember this good time? Oh

272
00:16:28,560 --> 00:16:30,760
Speaker 1: yeah yeah, And it's never like the sad music. It

273
00:16:30,760 --> 00:16:32,320
Speaker 1: looks like a few and they yeah they play with

274
00:16:32,320 --> 00:16:36,120
Speaker 1: a Georgantia tune. Yeah, but like it's all it's all

275
00:16:36,160 --> 00:16:39,120
Speaker 1: open source music. Can't they just like use the music

276
00:16:39,240 --> 00:16:41,680
Speaker 1: from my phone that I that they know what I like?

277
00:16:43,320 --> 00:16:51,200
Speaker 1: Can't they use YouTube? Can't they use that one Santa

278
00:16:51,560 --> 00:16:56,480
Speaker 1: Baba you know that song that that that's like the

279
00:16:56,520 --> 00:16:58,640
Speaker 1: one you Tuo song that I can't get off of

280
00:16:58,680 --> 00:17:02,400
Speaker 1: her Majesty's phone that plays we're plugging in. Yeah, yeah, no,

281
00:17:02,560 --> 00:17:05,800
Speaker 1: that's yeah. I've had that song play randomly many a

282
00:17:05,800 --> 00:17:10,080
Speaker 1: time that it sounds like they were starting Barbara and

283
00:17:10,080 --> 00:17:17,879
Speaker 1: and then lost confidence. Harmonies are too challenging. The Inches

284
00:17:17,960 --> 00:17:21,199
Speaker 1: speaking out from behind his bace, I can't do it.

285
00:17:21,480 --> 00:17:26,280
Speaker 1: No or Bono is just like Midway. He's like, hold on, stop,

286
00:17:26,320 --> 00:17:30,840
Speaker 1: stop man, I think we're in over our skimes if

287
00:17:30,880 --> 00:17:33,280
Speaker 1: we can't do this, this is gonna go on every

288
00:17:33,359 --> 00:17:37,919
Speaker 1: single ample fight in the world. You imagine recording an

289
00:17:37,960 --> 00:17:41,119
Speaker 1: album with the white event hanging over you. It's everyone's

290
00:17:41,119 --> 00:17:44,480
Speaker 1: gonna hit this or yeah. But then know how bad

291
00:17:44,560 --> 00:17:48,400
Speaker 1: those albums are. You like, wow, yeah, you don't give

292
00:17:48,440 --> 00:17:53,160
Speaker 1: a fuck, but you can see it goten they hit yeah, Yeah.

293
00:17:53,640 --> 00:17:56,520
Speaker 1: I can't please everybody. That's what I've always said that

294
00:17:56,720 --> 00:18:00,320
Speaker 1: I can't. They certainly pleased me. That's still the only

295
00:18:00,400 --> 00:18:02,159
Speaker 1: I thought a lot of people were mad about it.

296
00:18:02,200 --> 00:18:04,280
Speaker 1: I was like, now I have music on my phone

297
00:18:04,320 --> 00:18:07,840
Speaker 1: and I don't need anymore. And that's that's still to

298
00:18:07,960 --> 00:18:10,119
Speaker 1: this day the only album on my phone and it

299
00:18:10,359 --> 00:18:13,959
Speaker 1: and it Songs of Innocence. I think it's that album,

300
00:18:14,119 --> 00:18:17,879
Speaker 1: but then that that's that album, but you're you're leaving

301
00:18:17,880 --> 00:18:22,520
Speaker 1: out the punchline man. Songs of Experience comes later. And

302
00:18:22,600 --> 00:18:34,320
Speaker 1: you're like, what wait what I trusted you? What the Edge? What?

303
00:18:34,840 --> 00:18:38,400
Speaker 1: I loved Songs of Innocence? Is he the Edge? Or Edge?

304
00:18:39,000 --> 00:18:43,280
Speaker 1: He's the Edge? Right? Either? Why you know you got

305
00:18:43,280 --> 00:18:45,960
Speaker 1: a bit here? A great said nickname? He's old now

306
00:18:46,359 --> 00:18:51,320
Speaker 1: it's embarrassing. Yeah, right, he's the Is there a seat

307
00:18:51,359 --> 00:18:57,480
Speaker 1: somewhere around? Yeah, He's take a load of Oh he

308
00:18:57,640 --> 00:19:01,720
Speaker 1: is the Edge, Okay, David Howell Evin? Is there another

309
00:19:02,280 --> 00:19:05,879
Speaker 1: one name person that is that has a the at

310
00:19:05,880 --> 00:19:09,959
Speaker 1: the beginning of it? The Weekend? Yeah, the Weekend, the

311
00:19:10,000 --> 00:19:17,240
Speaker 1: holy Ghost, Yes, the Father, the Son, maybe three brother

312
00:19:20,640 --> 00:19:23,480
Speaker 1: I do feel like they would have maybe the holy ghosts.

313
00:19:23,520 --> 00:19:28,600
Speaker 1: That's how they would have addressed the actually actual ghost

314
00:19:28,720 --> 00:19:30,480
Speaker 1: version of Jesus. But I don't feel like they called

315
00:19:30,560 --> 00:19:32,960
Speaker 1: him the Son when he was walking around. But I

316
00:19:33,000 --> 00:19:36,880
Speaker 1: do feel like the Edges friends call him the Edge,

317
00:19:37,040 --> 00:19:40,760
Speaker 1: and the Weekend's friends call him the Weekend, which is

318
00:19:40,800 --> 00:19:44,000
Speaker 1: fun like in the early bands. Everyone. Evans was given

319
00:19:44,040 --> 00:19:46,800
Speaker 1: the nickname The Edge by members of the Lipton Village

320
00:19:46,800 --> 00:19:49,879
Speaker 1: Surrealist street gang, to which Bono belonged. The nickname is

321
00:19:49,880 --> 00:19:52,320
Speaker 1: commonly believed to be derived from the angular shape of

322
00:19:52,359 --> 00:20:02,080
Speaker 1: his head. Damn so he was bullied an unflattering like

323
00:20:02,280 --> 00:20:06,920
Speaker 1: childhood nickname. Right, it's like yo and oh and shout

324
00:20:06,920 --> 00:20:10,320
Speaker 1: out to the guitars of my band jiz Boy up

325
00:20:10,440 --> 00:20:13,760
Speaker 1: Jis Boy. We love you like if I had if

326
00:20:13,800 --> 00:20:16,880
Speaker 1: I had just gone by me off, like the entirety

327
00:20:16,920 --> 00:20:22,720
Speaker 1: of my life like you pretty clear. But credit to

328
00:20:22,720 --> 00:20:25,720
Speaker 1: your childhood bullies. Oh, it was a lot of them.

329
00:20:25,840 --> 00:20:28,879
Speaker 1: There's a lot of clever bullies out there, guy, I

330
00:20:28,960 --> 00:20:32,240
Speaker 1: know if any that used their powers for good mm hmm,

331
00:20:33,119 --> 00:20:37,199
Speaker 1: like bullying a different kid, like like, what about this

332
00:20:37,240 --> 00:20:42,399
Speaker 1: asshole over here, oldest? This guy just told me had

333
00:20:42,400 --> 00:20:47,760
Speaker 1: his first wit dream last night, embarrassing. Oh, Evan you did, yeah, man,

334
00:20:47,880 --> 00:20:54,800
Speaker 1: cool him. That's great. That's growth, man, that's growth. That's

335
00:20:54,800 --> 00:20:57,760
Speaker 1: awesome man. Well that's cool man, It's it's totally normal. Man.

336
00:20:57,800 --> 00:20:59,919
Speaker 1: I don't feel ashamed or embarrassed, you know. On my

337
00:21:00,520 --> 00:21:05,119
Speaker 1: jack me off over there, his mom made his lunch.

338
00:21:07,359 --> 00:21:11,960
Speaker 1: What do you like making school lunches? Jack, I don't.

339
00:21:12,400 --> 00:21:15,600
Speaker 1: I do not like it. We we have a metal

340
00:21:16,000 --> 00:21:19,280
Speaker 1: like grill, Like it's a lunch it's a lunch box

341
00:21:19,320 --> 00:21:21,680
Speaker 1: that goes inside the lunch box that separates the food

342
00:21:21,680 --> 00:21:23,720
Speaker 1: out into different things so you can like put more

343
00:21:23,840 --> 00:21:26,760
Speaker 1: like whole foods in there without them getting all mashed up.

344
00:21:27,160 --> 00:21:30,639
Speaker 1: And it's the hardest thing to wash in our household,

345
00:21:30,760 --> 00:21:34,280
Speaker 1: you know. Man, I'm so glad finally we're using it. Dad,

346
00:21:34,320 --> 00:21:36,359
Speaker 1: He's like, guys, platform to talk about this because we

347
00:21:36,440 --> 00:21:38,879
Speaker 1: got some made by a company called Smuggle. Got the

348
00:21:38,920 --> 00:21:42,280
Speaker 1: plastic pull out. I can't get this thing. I gotta

349
00:21:42,320 --> 00:21:44,159
Speaker 1: wag a button knife and they just to get this

350
00:21:44,240 --> 00:21:49,080
Speaker 1: thing out to clean it. It's embarrassing clean really. Yeah,

351
00:21:49,200 --> 00:21:51,240
Speaker 1: they're not like just one piece that you could just

352
00:21:51,359 --> 00:21:58,240
Speaker 1: do a top top top or dishwasher type ship. It's sweet, sweet, mild, sweet, innocent.

353
00:22:02,359 --> 00:22:04,199
Speaker 1: They have like a door hinge on them, you know,

354
00:22:04,480 --> 00:22:07,399
Speaker 1: mind mind do And then uh, they're like a weird

355
00:22:07,400 --> 00:22:09,560
Speaker 1: shape and they're also a weird size, so like they

356
00:22:09,560 --> 00:22:12,480
Speaker 1: don't fit in the sink necessarily like in a way

357
00:22:12,560 --> 00:22:15,040
Speaker 1: that makes it easier to wash. So you gonna know

358
00:22:15,040 --> 00:22:19,600
Speaker 1: about Jake mos Is. This guy's got a tiny little thing.

359
00:22:18,000 --> 00:22:22,560
Speaker 1: And then have you seen have you seen Kim's house?

360
00:22:22,760 --> 00:22:25,640
Speaker 1: But they're how they're sinks where you can't tell where

361
00:22:25,680 --> 00:22:28,719
Speaker 1: the water goes or that it's a sink even that's

362
00:22:28,760 --> 00:22:31,120
Speaker 1: that's sort of how we modeled our sinks, and so

363
00:22:31,359 --> 00:22:33,959
Speaker 1: that that does make dishes doing the dishes because it's

364
00:22:33,960 --> 00:22:38,760
Speaker 1: somewhat difficult. That way, we can sess out any time

365
00:22:38,800 --> 00:22:41,880
Speaker 1: travelers who know how to use this future technology. That's

366
00:22:41,920 --> 00:22:44,399
Speaker 1: the literacy tests like in Demolition Man. That's right, but

367
00:22:44,520 --> 00:22:45,880
Speaker 1: you know you knew how to use the shell. Yeah,

368
00:22:45,880 --> 00:22:48,360
Speaker 1: we have the three shells as well. Yeah, okay, good, yeah,

369
00:22:48,520 --> 00:22:51,199
Speaker 1: you just gotta we're not. We like to keep our

370
00:22:51,240 --> 00:22:53,240
Speaker 1: bodies clean. We use the three shell and I like

371
00:22:53,280 --> 00:22:55,720
Speaker 1: to solve problems, like to get my kids ready for

372
00:22:55,760 --> 00:22:59,399
Speaker 1: the real world. Man, Well, shout out to your Bento

373
00:22:59,520 --> 00:23:03,080
Speaker 1: box dividers. I just remember. I mean I remember being

374
00:23:03,080 --> 00:23:05,240
Speaker 1: a kid. I hated my food touching, but there were

375
00:23:05,320 --> 00:23:09,120
Speaker 1: no options. It's like, here's this one tupperware. Everything will

376
00:23:09,160 --> 00:23:12,760
Speaker 1: go inside and you will eat. Yeah. Well the kids, well, Miles,

377
00:23:12,840 --> 00:23:16,679
Speaker 1: the kids won the food Seeprett now damage born in

378
00:23:16,720 --> 00:23:19,800
Speaker 1: the wrong era yet again. Yeah, if only could be

379
00:23:19,840 --> 00:23:23,480
Speaker 1: a child today with this outlook on our contre Like

380
00:23:23,560 --> 00:23:26,480
Speaker 1: I just I mine was just a brown paper bag

381
00:23:26,600 --> 00:23:31,000
Speaker 1: with like smaller like sandwich bags full of stuff that

382
00:23:31,040 --> 00:23:36,320
Speaker 1: would occasionally leak out. But yeah, I don't know mine

383
00:23:36,400 --> 00:23:39,639
Speaker 1: was Mine was a series of brown paper bags and

384
00:23:39,720 --> 00:23:41,359
Speaker 1: there'd be a big bag, and then there'd be a

385
00:23:41,400 --> 00:23:44,360
Speaker 1: several smaller bags until I get to the tiniest big

386
00:23:44,400 --> 00:23:47,200
Speaker 1: not bigger than you know, thumb now, and it would

387
00:23:47,200 --> 00:23:51,040
Speaker 1: say chake the rubbish bin by the gates, and then

388
00:23:51,119 --> 00:23:53,600
Speaker 1: you know, it's scavenger hunt. And by the time I

389
00:23:53,640 --> 00:23:55,520
Speaker 1: found the lunch, we will baked the class. I was

390
00:23:55,600 --> 00:24:00,760
Speaker 1: starving that credit you one every days, so you know,

391
00:24:00,880 --> 00:24:05,800
Speaker 1: God bless my parents. There's so many skeven Er hunts. Yeah.

392
00:24:05,280 --> 00:24:10,200
Speaker 1: I only had lunches up until like elementary school, and

393
00:24:10,200 --> 00:24:11,879
Speaker 1: then my parents, like my funk, I just eat the

394
00:24:12,400 --> 00:24:14,440
Speaker 1: eat the like prison slop they give you in there,

395
00:24:14,840 --> 00:24:17,880
Speaker 1: and that's that's that's what the kids want school, that's

396
00:24:17,880 --> 00:24:19,600
Speaker 1: what That's what I don't know, man, I would eat

397
00:24:19,720 --> 00:24:22,159
Speaker 1: see kids, I was like, damn, your mom has time

398
00:24:22,240 --> 00:24:25,560
Speaker 1: to make that. That's cool. I'm gonna eat this like

399
00:24:25,680 --> 00:24:29,480
Speaker 1: styrofoam tray of like old iceberg, lettuce, old bread they

400
00:24:29,480 --> 00:24:33,440
Speaker 1: call croutons, and ranch dressing. I was chef salad day.

401
00:24:33,680 --> 00:24:35,880
Speaker 1: I was amazed that kid's mom had time to make

402
00:24:35,960 --> 00:24:38,040
Speaker 1: that lunch as well, because I was so busy pork

403
00:24:38,119 --> 00:24:47,639
Speaker 1: and in her. Alright, come on, I'm just feeling. I

404
00:24:47,720 --> 00:24:51,640
Speaker 1: told you, I'm feeling. I'm feeling that's got some crazy ideas.

405
00:24:52,040 --> 00:24:57,000
Speaker 1: That is a great can believe your mom made you

406
00:24:57,000 --> 00:25:04,199
Speaker 1: your I love it, all right, well I love it.

407
00:25:04,720 --> 00:25:07,639
Speaker 1: I truly love that. Let's take a quick break and

408
00:25:07,720 --> 00:25:20,080
Speaker 1: we'll be right back. And we're back. And I was

409
00:25:20,119 --> 00:25:23,600
Speaker 1: told by one of our producers that they kept falling

410
00:25:23,600 --> 00:25:28,200
Speaker 1: asleep to the to the dulphin tons of miles. Ever

411
00:25:28,280 --> 00:25:35,520
Speaker 1: and I, speaking as NPR hosts, like, so we're gonna

412
00:25:35,560 --> 00:25:39,440
Speaker 1: go further into it, into a deep So let's let's

413
00:25:39,680 --> 00:25:43,640
Speaker 1: dig into what is what's happening, what the fallout has

414
00:25:43,680 --> 00:25:46,879
Speaker 1: been on two sides of the border. You got your America,

415
00:25:47,400 --> 00:25:51,480
Speaker 1: United States of America, and then you got your Canada,

416
00:25:51,760 --> 00:25:55,719
Speaker 1: which is a different country that just wants to be America,

417
00:25:56,119 --> 00:26:01,400
Speaker 1: United States but better or something. Yeah, exactly, So what

418
00:26:01,400 --> 00:26:04,240
Speaker 1: what are they doing? They're trying to redesign their flag

419
00:26:04,320 --> 00:26:08,280
Speaker 1: to be red, white and blue. Then maybe the maple

420
00:26:08,359 --> 00:26:11,440
Speaker 1: leaf is now going to look like the seven seven seven,

421
00:26:11,480 --> 00:26:15,159
Speaker 1: how it's or artillery canon, But no, they have the

422
00:26:15,320 --> 00:26:18,119
Speaker 1: Justin Trudeau has announced, you know what, we're gonna do

423
00:26:18,240 --> 00:26:21,240
Speaker 1: things a little bit differently and we need to take

424
00:26:21,640 --> 00:26:25,560
Speaker 1: the safety of Canadians seriously. So basically they are banning

425
00:26:25,560 --> 00:26:28,760
Speaker 1: the sale of handguns what is and by that, they're

426
00:26:28,800 --> 00:26:33,560
Speaker 1: basically saying that you can no longer like procure a

427
00:26:33,600 --> 00:26:36,880
Speaker 1: new handgun. So it's going to be like you can't trade,

428
00:26:37,080 --> 00:26:39,919
Speaker 1: you can't buy, sell, They're just saying, you know what,

429
00:26:40,000 --> 00:26:43,080
Speaker 1: the market on handguns, it's capped. That's it. If you've

430
00:26:43,080 --> 00:26:45,720
Speaker 1: got one, fine, Also, if you have an assault rifle,

431
00:26:46,119 --> 00:26:48,000
Speaker 1: you need to come by and we'll buy that ship

432
00:26:48,000 --> 00:26:50,800
Speaker 1: back from you, because nobody we're not doing that anymore either.

433
00:26:51,440 --> 00:26:53,480
Speaker 1: And you know, this has all been part of a

434
00:26:54,040 --> 00:26:56,880
Speaker 1: you know, wider campaign in Canada to curb gun access

435
00:26:56,960 --> 00:26:59,639
Speaker 1: and and curb gun violence. After a gunman you know,

436
00:26:59,800 --> 00:27:03,560
Speaker 1: had killed twenty two people in rural Nova, Scotia, like

437
00:27:04,920 --> 00:27:07,280
Speaker 1: and that was a moment where it's like, oh, this

438
00:27:07,359 --> 00:27:09,239
Speaker 1: is this is something that has to be addressed, and

439
00:27:09,320 --> 00:27:11,560
Speaker 1: the wild thing is hearing, you know how the Prime

440
00:27:11,560 --> 00:27:15,159
Speaker 1: ministers is talking about it about gun violence and this

441
00:27:15,280 --> 00:27:18,239
Speaker 1: quote is gun violence is a complex problem. But at

442
00:27:18,240 --> 00:27:20,560
Speaker 1: the end of the day, the math is really quite simple.

443
00:27:20,640 --> 00:27:23,880
Speaker 1: The fewer the guns in our communities, the safer everyone

444
00:27:23,920 --> 00:27:31,280
Speaker 1: will be part of like my you know response, I know,

445
00:27:31,320 --> 00:27:35,200
Speaker 1: because are fucked up propaganda American brains are like okay,

446
00:27:35,240 --> 00:27:38,160
Speaker 1: but now, also tell me about the people screaming at

447
00:27:38,200 --> 00:27:40,679
Speaker 1: the Prime Minister because it means end of the world

448
00:27:40,720 --> 00:27:44,520
Speaker 1: because gun buy back, Like, where's that part, Where's the

449
00:27:44,560 --> 00:27:47,159
Speaker 1: part where he has to acknowledge that it's it's not

450
00:27:47,240 --> 00:27:49,639
Speaker 1: a good idea because these people hate it. It was

451
00:27:49,680 --> 00:27:54,240
Speaker 1: just ah, it's it's truly something wild to hear a

452
00:27:54,320 --> 00:27:57,359
Speaker 1: line like that when meanwhile we have people talking about

453
00:27:57,440 --> 00:27:59,960
Speaker 1: it's not that we need less guns, we need less

454
00:28:00,160 --> 00:28:05,520
Speaker 1: door mm hmmm, I think that's yeah, that's strong. Sorry

455
00:28:05,520 --> 00:28:08,359
Speaker 1: that the pool, the gravitational pool of the MPR voice

456
00:28:08,359 --> 00:28:11,520
Speaker 1: has has made me realize why they do it. It

457
00:28:11,720 --> 00:28:18,760
Speaker 1: just it's very outraged, like that, right, you can't be

458
00:28:18,800 --> 00:28:22,200
Speaker 1: outraged until you're so It's like the thing where you

459
00:28:22,240 --> 00:28:24,440
Speaker 1: go walk around with a big smile on your face

460
00:28:24,800 --> 00:28:27,800
Speaker 1: and like that's supposed to make you happy. Like there's

461
00:28:27,840 --> 00:28:29,920
Speaker 1: that like feedback loop. Have you heard that? Like just

462
00:28:30,600 --> 00:28:35,640
Speaker 1: like it doesn't work right, It's yeah, it's kind of

463
00:28:35,840 --> 00:28:42,320
Speaker 1: a completely illogical way of dealing with things. But you

464
00:28:42,360 --> 00:28:46,120
Speaker 1: can't be. It's also I think very American, very American.

465
00:28:46,880 --> 00:28:50,000
Speaker 1: We're just gonna force our damn souls into the right

466
00:28:50,120 --> 00:28:53,160
Speaker 1: ship so you can get through this one more time. Ever,

467
00:28:53,280 --> 00:28:57,200
Speaker 1: you still joining us from the offices of MPR. I am.

468
00:28:57,240 --> 00:28:59,200
Speaker 1: I was just saying, every time I try to make

469
00:28:59,240 --> 00:29:01,959
Speaker 1: myself happy by smiling, I just look like a jackass.

470
00:29:03,160 --> 00:29:06,080
Speaker 1: Is it like it's like a forced smile. Yeah, like

471
00:29:06,640 --> 00:29:09,400
Speaker 1: so ear to ear. That's almost like, are you distressed?

472
00:29:09,440 --> 00:29:14,680
Speaker 1: You're like, I am happy, nice to meet you, just

473
00:29:14,800 --> 00:29:18,560
Speaker 1: smile with tears rolling down your face. Yeah, nothing is wrong.

474
00:29:19,080 --> 00:29:23,320
Speaker 1: I'm not stressed about anything. And even getting good news

475
00:29:23,640 --> 00:29:26,840
Speaker 1: and any bad news is a practice to to deal

476
00:29:26,920 --> 00:29:29,800
Speaker 1: with it, you know what I mean, where it's like

477
00:29:29,800 --> 00:29:31,720
Speaker 1: like with Buddhism, and I'm sure like a lot of

478
00:29:31,760 --> 00:29:35,040
Speaker 1: other religions where it's like if you stop resisting, the

479
00:29:35,080 --> 00:29:38,920
Speaker 1: pain will go away. So it's like, hey, no bad news.

480
00:29:39,520 --> 00:29:43,680
Speaker 1: I accept the bad news. I stopped resisting the bad news,

481
00:29:43,880 --> 00:29:47,240
Speaker 1: and suddenly there is no more bad news. And this

482
00:29:47,360 --> 00:29:49,880
Speaker 1: segment is of course brought to you by dukes um

483
00:29:54,000 --> 00:29:56,720
Speaker 1: no more bad news. I mean that would feel like

484
00:29:56,760 --> 00:29:58,760
Speaker 1: a segment that they would have on its like and

485
00:29:58,880 --> 00:30:01,120
Speaker 1: next is stress management technique and the like. And the

486
00:30:01,120 --> 00:30:03,480
Speaker 1: biggest thing is we have to accept what's happening around

487
00:30:03,600 --> 00:30:06,240
Speaker 1: us rights when we resisted that, we feel on that discomfort.

488
00:30:06,360 --> 00:30:09,280
Speaker 1: So we just accept everything is terrible and trust the

489
00:30:09,320 --> 00:30:12,400
Speaker 1: politicians to do everything. All your all your cares will

490
00:30:12,440 --> 00:30:17,200
Speaker 1: go away, okay, except the gun violence around you. It's

491
00:30:17,320 --> 00:30:20,760
Speaker 1: that simple, you know. I like to go back to

492
00:30:21,360 --> 00:30:25,120
Speaker 1: George Washington stories when I have to illustrate a point

493
00:30:25,120 --> 00:30:29,560
Speaker 1: I want to make. But also another great American, Ever Maynard,

494
00:30:29,920 --> 00:30:33,720
Speaker 1: the inventor of Chardonnay's, has often said, do you think

495
00:30:33,760 --> 00:30:37,959
Speaker 1: I would have invented this if I were happy? So

496
00:30:38,680 --> 00:30:43,520
Speaker 1: I feel like this gonna come up with this ship.

497
00:30:45,160 --> 00:30:50,440
Speaker 1: Look how happy I look at this tomorrow? Anyways. Meanwhile,

498
00:30:50,520 --> 00:30:53,680
Speaker 1: in the United States of America, the n r A

499
00:30:53,840 --> 00:30:57,800
Speaker 1: held their convention where Donald Trump right off the names

500
00:30:57,800 --> 00:31:02,560
Speaker 1: of the children and you know, victim of the Uvalde masacre,

501
00:31:02,640 --> 00:31:05,320
Speaker 1: and then also for good measure at the end, dance

502
00:31:05,400 --> 00:31:11,240
Speaker 1: a little jig on stage. It's it is, everything feels

503
00:31:11,560 --> 00:31:15,320
Speaker 1: like lazy satire at this point. But so that happened,

504
00:31:15,680 --> 00:31:19,880
Speaker 1: and then the police arrested. The police in Florida arrested

505
00:31:19,920 --> 00:31:23,680
Speaker 1: a ten year old who like had said that he

506
00:31:24,040 --> 00:31:26,360
Speaker 1: bought a bunch of assault rifles and was going to

507
00:31:26,600 --> 00:31:31,680
Speaker 1: do a do a school shooting essentially, and the you know,

508
00:31:32,160 --> 00:31:37,040
Speaker 1: they interviewed him, found out that he was making false threats.

509
00:31:37,120 --> 00:31:40,360
Speaker 1: I don't think he had the guns that he was

510
00:31:40,400 --> 00:31:44,719
Speaker 1: claiming he did, and they proceeded to arrest him and

511
00:31:45,560 --> 00:31:51,880
Speaker 1: publicly release his mug shot. And they first of all,

512
00:31:51,920 --> 00:31:55,760
Speaker 1: I saw people like posting about this approvingly, like on

513
00:31:55,760 --> 00:31:58,960
Speaker 1: on social media. It's just like, you know, I don't

514
00:31:59,000 --> 00:32:01,480
Speaker 1: know people, It just feels like chaos, like signal and

515
00:32:01,560 --> 00:32:08,040
Speaker 1: noise all like blended together into just indecipherable kind of slurry. Also,

516
00:32:08,200 --> 00:32:11,760
Speaker 1: like this is a kid that needs like mental health

517
00:32:11,800 --> 00:32:14,160
Speaker 1: resources and this is only going to make it worse.

518
00:32:14,480 --> 00:32:18,560
Speaker 1: Like this kid needs like, yeah, counseling therapy, but instead

519
00:32:18,640 --> 00:32:21,640
Speaker 1: we're just like burning him at this stake or like

520
00:32:21,760 --> 00:32:25,200
Speaker 1: dragging him through the town, you know what I mean, Like, yeah,

521
00:32:25,240 --> 00:32:27,560
Speaker 1: this is not cool, Like this is only going to

522
00:32:27,680 --> 00:32:30,560
Speaker 1: further traumatize this kid. And it's like, yeah, this kid

523
00:32:30,600 --> 00:32:33,320
Speaker 1: did a fucked up ding and we should be taking

524
00:32:33,360 --> 00:32:35,960
Speaker 1: threats seriously. But at the same time, this is also

525
00:32:36,040 --> 00:32:39,840
Speaker 1: like a red flag that this kid needs help. So

526
00:32:40,240 --> 00:32:44,640
Speaker 1: the sheriff, who is prides himself as the tough on

527
00:32:44,760 --> 00:32:48,120
Speaker 1: crime sheriff, made a statement, I'm just gonna read from

528
00:32:48,200 --> 00:32:50,320
Speaker 1: it because again it does it does feel like it's

529
00:32:50,400 --> 00:32:54,560
Speaker 1: just bad like satire. That's two on the nose. But

530
00:32:55,320 --> 00:32:59,080
Speaker 1: you know, it certainly feels like the police are doing

531
00:33:00,280 --> 00:33:04,280
Speaker 1: the like, you know, the thing where like a bullye

532
00:33:04,320 --> 00:33:08,480
Speaker 1: gets beat up and then comes in and immediately starts

533
00:33:08,960 --> 00:33:12,600
Speaker 1: picking on the smallest kid in school just to you know,

534
00:33:12,680 --> 00:33:16,240
Speaker 1: prove something to themselves or whatever, salvage their reputation and

535
00:33:16,320 --> 00:33:19,840
Speaker 1: sense of self. But so the sheriff, so this student's

536
00:33:19,880 --> 00:33:23,560
Speaker 1: behavior sickening, especially after the recent tragedy. Making sure our

537
00:33:23,640 --> 00:33:26,320
Speaker 1: children are safe as paramount, we will have law and

538
00:33:26,440 --> 00:33:30,080
Speaker 1: order in our schools. My team didn't hesitate one second,

539
00:33:30,200 --> 00:33:33,800
Speaker 1: not one second to investigate this threat. So that is

540
00:33:33,840 --> 00:33:37,680
Speaker 1: like a veiled reference to the Uvalde police, you know,

541
00:33:37,760 --> 00:33:41,000
Speaker 1: waiting outside the school while the shooting was taking place.

542
00:33:41,400 --> 00:33:43,720
Speaker 1: Right now is not the time to act like a delinquent.

543
00:33:43,840 --> 00:33:46,959
Speaker 1: It's not funny. This child made a fake threat and

544
00:33:47,000 --> 00:33:50,880
Speaker 1: now he's experiencing real consequences. We don't wait one second.

545
00:33:50,920 --> 00:33:54,520
Speaker 1: We investigate every threat as if it's real and well, well,

546
00:33:54,680 --> 00:33:57,400
Speaker 1: Marseillna acknowledged that the boy is only ten years old

547
00:33:57,600 --> 00:34:01,040
Speaker 1: and his brain isn't fully developed. He explained that making

548
00:34:01,080 --> 00:34:03,719
Speaker 1: faith fake threats still have real consequence, So he's going

549
00:34:03,760 --> 00:34:06,520
Speaker 1: back to that fake threat. Real consequence is thing like

550
00:34:06,600 --> 00:34:14,520
Speaker 1: a tough love school principal. I don't know, it sounds dangerous, right, Yeah,

551
00:34:15,040 --> 00:34:18,279
Speaker 1: that that one seems a little less clear. It's it's

552
00:34:18,320 --> 00:34:21,319
Speaker 1: wild how like everyone's kind of using this to differentiate

553
00:34:21,360 --> 00:34:25,719
Speaker 1: themselves even though in the same group, Like we have

554
00:34:25,840 --> 00:34:28,920
Speaker 1: no problem jumping to conclusions and brutalizing a ten year

555
00:34:28,960 --> 00:34:33,040
Speaker 1: old child because we take threats seriously. The milkers in

556
00:34:33,080 --> 00:34:37,440
Speaker 1: that other place, you're completely the point. Can we describe

557
00:34:37,440 --> 00:34:43,080
Speaker 1: this photo of this sheriff with the cops behind him? Yeah,

558
00:34:43,200 --> 00:34:46,080
Speaker 1: for the listeners. So there's a big I'm gonna call

559
00:34:46,160 --> 00:34:48,800
Speaker 1: him buff Daddy sheriff and he's wearing a half sip

560
00:34:49,480 --> 00:34:53,000
Speaker 1: sweater pulled over and it's slightly buttoned down, but it's

561
00:34:53,120 --> 00:34:55,400
Speaker 1: kind of like an army green and it's kind of

562
00:34:55,440 --> 00:35:00,200
Speaker 1: gold star, huge pecks, chisel jawline, nude peck, huge pecks,

563
00:35:00,239 --> 00:35:08,040
Speaker 1: great arms, big tex on, Gregory pecks, it's and I

564
00:35:08,120 --> 00:35:09,759
Speaker 1: did have to look up to make sure it was

565
00:35:09,840 --> 00:35:17,560
Speaker 1: not Gregory Pecks, the porn star. Yeah, not Gregory Packgory. No,

566
00:35:17,640 --> 00:35:21,560
Speaker 1: I'd imagine there would be a guy Gregory Pecks. Oh god.

567
00:35:22,160 --> 00:35:25,560
Speaker 1: So then there's three SWAT team members on his left

568
00:35:26,080 --> 00:35:29,640
Speaker 1: and three regularly dressed cops on its right, and they're

569
00:35:29,640 --> 00:35:34,799
Speaker 1: all like, yeah, we're going Daniel Craig movie, you know,

570
00:35:34,920 --> 00:35:38,960
Speaker 1: like kind of like tough guy looks. Yeah, it's like

571
00:35:39,040 --> 00:35:43,520
Speaker 1: you're a ten year old. They're armed to the hilt.

572
00:35:43,880 --> 00:35:46,640
Speaker 1: Oh yeah. The Swat team members have the masks over

573
00:35:46,680 --> 00:35:52,520
Speaker 1: their faces, and then the officers are doing their best

574
00:35:52,560 --> 00:35:55,800
Speaker 1: to flex well, also keeping one hand on one of

575
00:35:55,840 --> 00:36:00,239
Speaker 1: their weapons. They're in a sad flying v of like

576
00:36:00,520 --> 00:36:04,560
Speaker 1: no confidence and using gun to look tough. The three

577
00:36:04,600 --> 00:36:07,279
Speaker 1: people who are like masked and ship it. Really, it's

578
00:36:07,320 --> 00:36:09,799
Speaker 1: like it shows you all they gotta do is like, oh,

579
00:36:09,800 --> 00:36:12,040
Speaker 1: ship man, we spend so much money on this crap,

580
00:36:12,040 --> 00:36:14,480
Speaker 1: but never use it. Y'all line up so they can

581
00:36:14,520 --> 00:36:17,200
Speaker 1: at least see that we're addressed. Like the video game

582
00:36:17,280 --> 00:36:19,720
Speaker 1: characters from Frome look kind of half out of shape.

583
00:36:19,800 --> 00:36:22,520
Speaker 1: I am gonna lie. I'm not gonna lie. I'm getting

584
00:36:22,520 --> 00:36:25,680
Speaker 1: back into shape, but I feel like I could out

585
00:36:25,840 --> 00:36:29,479
Speaker 1: lift and outrun these people. The chief, I'm I'm worried

586
00:36:29,480 --> 00:36:33,960
Speaker 1: about his cardio. Honestly, he definitely uses steroids and a

587
00:36:34,040 --> 00:36:38,759
Speaker 1: lot of pre work out. Oh yeah, the parts are ridiculous.

588
00:36:38,760 --> 00:36:40,759
Speaker 1: When he goes to the squad rack, people like it,

589
00:36:40,840 --> 00:36:44,520
Speaker 1: get away, get away from this, yah, I mean and

590
00:36:44,719 --> 00:36:46,600
Speaker 1: throughout all that time too. Like I don't know if

591
00:36:46,600 --> 00:36:49,200
Speaker 1: you read any of like the weird quotes coming out

592
00:36:49,200 --> 00:36:52,440
Speaker 1: of the fucking n r A convention of people like

593
00:36:52,520 --> 00:36:55,319
Speaker 1: with their weird takes trying to defend, you know, like

594
00:36:55,400 --> 00:36:59,879
Speaker 1: just this indefensible situation, and like some people, this guy

595
00:37:00,000 --> 00:37:03,000
Speaker 1: saying the Texas Tribune, like there's just this one line

596
00:37:03,080 --> 00:37:05,520
Speaker 1: in this article he said. They described like people who

597
00:37:05,520 --> 00:37:07,960
Speaker 1: are attending the n r A convention. They described feeling

598
00:37:08,000 --> 00:37:11,240
Speaker 1: ostracized for their beliefs, and not just those on guns,

599
00:37:11,280 --> 00:37:13,840
Speaker 1: for their refusal to get the COVID nineteen vaccine, for

600
00:37:13,920 --> 00:37:16,799
Speaker 1: their objections to gay people serving as teachers, for their

601
00:37:16,840 --> 00:37:22,839
Speaker 1: belief in disciplining children through spanking, Like what like the

602
00:37:22,920 --> 00:37:27,000
Speaker 1: dinosaurs feel bad that we've completely moved on, Like it's

603
00:37:27,040 --> 00:37:32,840
Speaker 1: just our dinosaur culture though, please, I am culture in Portland,

604
00:37:33,480 --> 00:37:35,319
Speaker 1: and I went there a couple of weeks ago for

605
00:37:35,400 --> 00:37:37,279
Speaker 1: some gigs and I was staying the left and these

606
00:37:37,320 --> 00:37:40,960
Speaker 1: guy's like, have you ever been to Dallas? Foreign words?

607
00:37:41,239 --> 00:37:43,520
Speaker 1: And he was a dinosaur, right, but it was Portland,

608
00:37:43,600 --> 00:37:45,680
Speaker 1: and I was like, I mean it's okay, it's a

609
00:37:45,719 --> 00:37:50,600
Speaker 1: little conservative. He goes, I'm just thinking to move somewhere

610
00:37:50,640 --> 00:37:53,919
Speaker 1: where people respect the law, and I was like yeah.

611
00:37:54,480 --> 00:37:56,640
Speaker 1: He was like, I'm tired of all this graffiti and

612
00:37:56,719 --> 00:38:03,840
Speaker 1: that's like, it's not nineo right, there's damn artwork everywhere

613
00:38:04,680 --> 00:38:07,719
Speaker 1: somewhere where you can just walk into a Starbucks with

614
00:38:07,760 --> 00:38:12,920
Speaker 1: an assault rifle. Right. Yeah, there's another person who like

615
00:38:13,000 --> 00:38:15,440
Speaker 1: also said like the kid could have had a bat

616
00:38:15,960 --> 00:38:18,160
Speaker 1: and could have done just as much damage, but they're

617
00:38:18,160 --> 00:38:22,440
Speaker 1: trying to attack guns. And it's just it's wild to

618
00:38:22,480 --> 00:38:23,920
Speaker 1: even hear the people that are there, because I don't

619
00:38:23,960 --> 00:38:26,200
Speaker 1: know if you saw the images from inside the convention,

620
00:38:26,719 --> 00:38:30,839
Speaker 1: it was sparsely attended, like a lot of people protesting

621
00:38:30,880 --> 00:38:35,160
Speaker 1: that attended video where the guy like addressed the president

622
00:38:37,200 --> 00:38:39,000
Speaker 1: and he's like yeah, he was like, thank you for

623
00:38:39,040 --> 00:38:42,319
Speaker 1: your thoughts, and right, he's like people have said, Wayne

624
00:38:42,360 --> 00:38:46,799
Speaker 1: lap here did nothing after Sandy Hook, after Vegas, after Parkland,

625
00:38:47,000 --> 00:38:50,279
Speaker 1: after you like just goes fires off the list, and

626
00:38:50,400 --> 00:38:53,040
Speaker 1: like you can tell people were getting uncomfortable because it

627
00:38:53,120 --> 00:38:54,960
Speaker 1: was like it had the tone of someone being critical

628
00:38:55,000 --> 00:38:57,560
Speaker 1: and he's like and yet they don't see what he

629
00:38:57,640 --> 00:38:59,799
Speaker 1: has done. He's like, I want to thank you Mr.

630
00:39:00,080 --> 00:39:03,200
Speaker 1: Up here for your thoughts and prayers because they you

631
00:39:03,239 --> 00:39:06,160
Speaker 1: did offer them kind of ship. But yeah, like it is.

632
00:39:06,239 --> 00:39:08,319
Speaker 1: It is a very interesting moment to see even the

633
00:39:08,320 --> 00:39:12,040
Speaker 1: people who are fully n r A brained, like the

634
00:39:12,080 --> 00:39:14,360
Speaker 1: best they can do is say stuff like a bat

635
00:39:14,400 --> 00:39:18,120
Speaker 1: would have been just as bad. Or the reason why

636
00:39:18,280 --> 00:39:21,000
Speaker 1: people are doing this is because we're teaching our kids

637
00:39:21,040 --> 00:39:23,960
Speaker 1: that America is a bunch of crap, as one guy said,

638
00:39:24,480 --> 00:39:27,040
Speaker 1: And I just feel like that logic is it's starting

639
00:39:27,040 --> 00:39:28,920
Speaker 1: to wear thin for some people when you just kind

640
00:39:28,920 --> 00:39:31,640
Speaker 1: of see the repeated horrors like over and over and

641
00:39:31,680 --> 00:39:33,399
Speaker 1: over again, and then here people be like, we need one,

642
00:39:33,480 --> 00:39:38,680
Speaker 1: we need one door. Right, So the door thing is

643
00:39:38,800 --> 00:39:42,440
Speaker 1: that there were too many doors, and one of the

644
00:39:42,680 --> 00:39:46,000
Speaker 1: too many of them were left open is that there thesis.

645
00:39:46,200 --> 00:39:48,320
Speaker 1: But then just in general, if you have one point

646
00:39:48,320 --> 00:39:51,280
Speaker 1: of entry, you can control that and it's a choke point.

647
00:39:51,400 --> 00:39:53,719
Speaker 1: So if someone were to enter and they were untowards

648
00:39:53,880 --> 00:39:56,080
Speaker 1: like you can get it, like stop them right there

649
00:39:56,080 --> 00:39:58,400
Speaker 1: at the point of entry. There's no other place to monitor,

650
00:39:58,560 --> 00:40:02,359
Speaker 1: just the one door again, unless there's a fire at

651
00:40:02,400 --> 00:40:05,640
Speaker 1: that door, in which case a much more common event

652
00:40:05,920 --> 00:40:09,800
Speaker 1: that Yeah. So, but you know this is this is

653
00:40:09,880 --> 00:40:12,080
Speaker 1: kind of like I think you can tell from the

654
00:40:12,080 --> 00:40:14,359
Speaker 1: outrage from the people even outside of the convention center

655
00:40:14,560 --> 00:40:16,680
Speaker 1: where the n r A thing was happening. Is it's

656
00:40:16,680 --> 00:40:21,360
Speaker 1: just like at a certain point, it's like this sounds

657
00:40:21,440 --> 00:40:25,520
Speaker 1: so so utterly ridiculous when most people would be like

658
00:40:25,600 --> 00:40:28,040
Speaker 1: if someone's like the person is shooting people, be like,

659
00:40:28,360 --> 00:40:32,360
Speaker 1: I wish that person didn't have the capability to shoot

660
00:40:32,400 --> 00:40:36,200
Speaker 1: people like at will. That's that usually is like the

661
00:40:36,239 --> 00:40:38,279
Speaker 1: easiest way to solve a problem. But hearing all this

662
00:40:38,320 --> 00:40:41,400
Speaker 1: other like you know, redirection and nonsense, I think it's

663
00:40:41,440 --> 00:40:46,560
Speaker 1: just just making people more furious. Yeah. I was reminded

664
00:40:46,719 --> 00:40:50,680
Speaker 1: while driving around over the long weekend and seeing a

665
00:40:50,719 --> 00:40:53,560
Speaker 1: Blue Lives Matter like a sticker on the back of

666
00:40:53,600 --> 00:40:58,520
Speaker 1: someone's car, Like there are people who not just the police,

667
00:40:58,560 --> 00:41:00,880
Speaker 1: but the people. There are people who's identity is based

668
00:41:00,920 --> 00:41:04,080
Speaker 1: on the idea that police are heroes, and so I'm

669
00:41:04,120 --> 00:41:07,560
Speaker 1: assuming those are the people who are like sharing this

670
00:41:07,640 --> 00:41:12,120
Speaker 1: story about arresting a tank. Like the the social media

671
00:41:12,160 --> 00:41:15,280
Speaker 1: I saw on this was like yeah, but like Bernie

672
00:41:15,280 --> 00:41:20,399
Speaker 1: Sanders just wants to eliminate student debt. Nice triasshole, like

673
00:41:20,680 --> 00:41:23,719
Speaker 1: the at least some people are doing something about the

674
00:41:23,760 --> 00:41:26,279
Speaker 1: problem we have, like commenting on the story about the

675
00:41:26,320 --> 00:41:30,920
Speaker 1: ten year old being arrested, and it's just yeah, it's

676
00:41:31,360 --> 00:41:34,680
Speaker 1: there's the recency bias that we've talked about before about

677
00:41:34,719 --> 00:41:37,560
Speaker 1: like where your can will never be more prepared for

678
00:41:37,640 --> 00:41:42,200
Speaker 1: the snowstorm that happens after the one that they needed

679
00:41:42,239 --> 00:41:45,120
Speaker 1: to be better prepared for. And then you know, the

680
00:41:45,239 --> 00:41:48,360
Speaker 1: police and the people who's who have Blue Lives Matter

681
00:41:48,719 --> 00:41:52,560
Speaker 1: like on their social media accounts are like, you know,

682
00:41:52,800 --> 00:41:56,960
Speaker 1: they they are wounded right now and like this is

683
00:41:57,080 --> 00:41:59,319
Speaker 1: this is what we get as a result, and it's

684
00:42:00,080 --> 00:42:04,200
Speaker 1: it's wild, Like it truly is just something that I

685
00:42:04,200 --> 00:42:08,239
Speaker 1: feel like, well, well, we're getting many moments with that

686
00:42:08,440 --> 00:42:13,000
Speaker 1: belong in that like End of and Stages of Human

687
00:42:13,040 --> 00:42:18,080
Speaker 1: Civilization Museum with Jimmy Fallon, Paris Hilton interview interview about

688
00:42:18,080 --> 00:42:21,560
Speaker 1: board games. I I do have something to say in

689
00:42:21,600 --> 00:42:25,239
Speaker 1: defense of blue lives matter, and it's more the sheriff's

690
00:42:25,280 --> 00:42:30,880
Speaker 1: lives matter um. Over the Memorial Day weekend, which also

691
00:42:31,000 --> 00:42:34,680
Speaker 1: happens to be my birthday weekend, I was at there, Yes,

692
00:42:34,760 --> 00:42:37,680
Speaker 1: thank you so much. I'm drinking my shartonnais, and I

693
00:42:37,719 --> 00:42:42,000
Speaker 1: saw a sheriff's helicopter doing tricks in front of the

694
00:42:42,600 --> 00:42:45,880
Speaker 1: booey in front of me because the helicopter landing pad

695
00:42:46,239 --> 00:42:50,720
Speaker 1: was directly kind of off to my left, and every

696
00:42:50,760 --> 00:42:53,239
Speaker 1: fifteen minutes, the helicopter would take off and do a

697
00:42:53,280 --> 00:42:56,880
Speaker 1: new trick. And I gotta say, I've never wanted to

698
00:42:56,960 --> 00:43:00,920
Speaker 1: waste more tax dollars. I want to see more tricks.

699
00:43:00,960 --> 00:43:03,560
Speaker 1: And I was like, this is about ten dollars a minute,

700
00:43:03,600 --> 00:43:08,840
Speaker 1: and then yea per trick. Literally, they were just I

701
00:43:08,880 --> 00:43:12,480
Speaker 1: don't think I've seen helicopter tricks. What do helicopter? It

702
00:43:12,520 --> 00:43:14,600
Speaker 1: looks like they're about it looks like they're about to

703
00:43:14,640 --> 00:43:16,840
Speaker 1: fall out of the sky. And I was like, everybody

704
00:43:16,880 --> 00:43:18,440
Speaker 1: was like, oh my god, the helicopter is going to

705
00:43:18,480 --> 00:43:21,319
Speaker 1: fall into the ocean. And then they go psych or

706
00:43:21,360 --> 00:43:25,440
Speaker 1: they would just flash straight up like nose up and

707
00:43:25,480 --> 00:43:29,120
Speaker 1: then dive bombed down and do some kind of role it. Honestly,

708
00:43:29,120 --> 00:43:31,440
Speaker 1: it was very cool. Wait and this was like in

709
00:43:31,480 --> 00:43:41,040
Speaker 1: a law enforcement helicopter. Yeah, they would Wait, there is

710
00:43:41,400 --> 00:43:46,480
Speaker 1: a there is like a crisis of confidence happening with

711
00:43:46,640 --> 00:43:52,040
Speaker 1: all police forces across the country, and they are tricks.

712
00:43:55,320 --> 00:43:58,000
Speaker 1: You do. I feel like they're doing what I'm doing

713
00:43:58,080 --> 00:44:01,080
Speaker 1: right now, like where they're at work and they'll be like, yeah, yeah,

714
00:44:01,080 --> 00:44:02,880
Speaker 1: I just have a phone call to make in my

715
00:44:02,960 --> 00:44:10,279
Speaker 1: office and past. So it's like a FASTI podcast, like

716
00:44:10,320 --> 00:44:12,839
Speaker 1: we're on the trol. Is that they're like doing their

717
00:44:12,840 --> 00:44:21,040
Speaker 1: own memorial like Welcome the Sick Tricks with Rick. You

718
00:44:21,080 --> 00:44:24,360
Speaker 1: can hear that road or in the background, what's going on,

719
00:44:24,440 --> 00:44:30,320
Speaker 1: what's going on with the Miami Heat. So that was

720
00:44:30,320 --> 00:44:33,160
Speaker 1: a wonderful pivot from ever made here. Um, the whole

721
00:44:33,200 --> 00:44:35,839
Speaker 1: thing that's happening, Thank you for keeping the show moving

722
00:44:35,880 --> 00:44:39,239
Speaker 1: on the whole other side of this, right is like

723
00:44:39,320 --> 00:44:41,600
Speaker 1: something that that's interesting. There's this op ed in the

724
00:44:41,600 --> 00:44:46,240
Speaker 1: Washington Post who was written by Field Greg Sargeant talking

725
00:44:46,280 --> 00:44:50,439
Speaker 1: about like, you know the effectiveness of athletes and their

726
00:44:50,480 --> 00:44:53,399
Speaker 1: advocacy right now, because it just seemed like pointed something

727
00:44:53,440 --> 00:44:57,839
Speaker 1: interesting out was that when sports teams get involved like

728
00:44:58,000 --> 00:45:02,839
Speaker 1: conservatives can't handle it, Like they just cannot handle athletes

729
00:45:03,000 --> 00:45:06,600
Speaker 1: or teams having an opinion on policy, and it's always

730
00:45:06,640 --> 00:45:10,560
Speaker 1: like just shut up and play sports ball. And and

731
00:45:10,600 --> 00:45:13,520
Speaker 1: I think it's like, I think there's just something interesting

732
00:45:13,560 --> 00:45:16,600
Speaker 1: about like that insistence, because it seems like one of

733
00:45:16,600 --> 00:45:19,640
Speaker 1: the biggest the reactions that got like the most attention

734
00:45:19,719 --> 00:45:23,120
Speaker 1: last week was Steve Kerr, who's a basketball coach, and

735
00:45:23,280 --> 00:45:25,719
Speaker 1: his like outrage about it. A lot of people are like, oh, wow,

736
00:45:25,760 --> 00:45:27,600
Speaker 1: this is interesting, Like wow, look at this coach had

737
00:45:27,640 --> 00:45:30,800
Speaker 1: something to say about it. Then the San Francisco Giants

738
00:45:30,880 --> 00:45:33,640
Speaker 1: manager Gabe Kapler, he told reporters he wouldn't stand for

739
00:45:33,680 --> 00:45:36,360
Speaker 1: the national anthem until he felt the country was actually

740
00:45:36,400 --> 00:45:39,160
Speaker 1: like moving in the right direction, because he said, like

741
00:45:39,160 --> 00:45:42,399
Speaker 1: what he's seen is this not good at all? And

742
00:45:42,520 --> 00:45:44,279
Speaker 1: this drew a lot of criticism, but then it was

743
00:45:44,360 --> 00:45:47,840
Speaker 1: quickly followed by like other teams airing messages of support

744
00:45:47,880 --> 00:45:50,360
Speaker 1: for like gun reform, like the the Yankees and ship

745
00:45:50,440 --> 00:45:54,200
Speaker 1: like that, and so the heat before their game they

746
00:45:54,400 --> 00:45:56,840
Speaker 1: had like a you know, pro gun reform message, and

747
00:45:56,920 --> 00:46:00,640
Speaker 1: like Marco Rubio was like like just out of it.

748
00:46:01,280 --> 00:46:03,879
Speaker 1: But I think there is something interesting just pointing out

749
00:46:03,920 --> 00:46:07,920
Speaker 1: like how much how pressed the politicians get when athletes

750
00:46:07,960 --> 00:46:10,520
Speaker 1: talk about this stuff, because it does feel like they

751
00:46:10,560 --> 00:46:14,080
Speaker 1: occupy this space in our popular culture where like, you know,

752
00:46:14,560 --> 00:46:17,840
Speaker 1: clearly athletes of color when they protest to this point

753
00:46:18,120 --> 00:46:20,839
Speaker 1: has been seeing like your radical black or you know,

754
00:46:21,040 --> 00:46:24,680
Speaker 1: personal color, Like how do you like Kaepernick? Like where

755
00:46:24,760 --> 00:46:30,080
Speaker 1: was the support when like Kaepernick was protesting? You know, yeah,

756
00:46:30,360 --> 00:46:34,280
Speaker 1: not much. But it's then I think that's the unfortunate aspect,

757
00:46:34,360 --> 00:46:37,480
Speaker 1: especially of like the the issue that he's drawing attention to,

758
00:46:37,520 --> 00:46:38,960
Speaker 1: which would put a lot of people off to be

759
00:46:39,000 --> 00:46:42,279
Speaker 1: like there's not a racism problem, but right now with

760
00:46:42,360 --> 00:46:45,520
Speaker 1: gun reform, to have people say, I fucking think it's

761
00:46:45,560 --> 00:46:49,439
Speaker 1: awful that children are dying needlessly. Now try and come

762
00:46:49,440 --> 00:46:52,000
Speaker 1: for me for that, and a lot of people are

763
00:46:52,000 --> 00:46:55,520
Speaker 1: just like like I want to be like what do

764
00:46:55,600 --> 00:46:59,200
Speaker 1: you soft and you don't like needless child death? But

765
00:46:59,280 --> 00:47:01,759
Speaker 1: it puts puts them in a very odd place, and

766
00:47:01,760 --> 00:47:04,399
Speaker 1: I think aside from the crisis of confidence, there's also

767
00:47:04,440 --> 00:47:07,680
Speaker 1: just like they don't know what to say anymore, and

768
00:47:07,880 --> 00:47:09,200
Speaker 1: you know, this sort of opened was just kind of

769
00:47:09,200 --> 00:47:12,959
Speaker 1: pointing out like how much more you know, like normalizing

770
00:47:13,000 --> 00:47:15,040
Speaker 1: athletes can do because there are there are groups of

771
00:47:15,080 --> 00:47:18,759
Speaker 1: like rigidly minded voters who are like, I don't know, man,

772
00:47:18,840 --> 00:47:21,680
Speaker 1: if anyone who's a Democrat says anything like I'm instantly

773
00:47:21,680 --> 00:47:25,000
Speaker 1: turned off. Now hold on. This baseball player also doesn't

774
00:47:25,040 --> 00:47:30,000
Speaker 1: like it. Okay, maybe that's maybe I'm not so soft.

775
00:47:27,960 --> 00:47:35,799
Speaker 1: I mean, the MASCAR does it. Anyone NASCAR does. I mean,

776
00:47:35,840 --> 00:47:38,319
Speaker 1: we'll we'll see where if it reaches that point. But

777
00:47:38,640 --> 00:47:40,839
Speaker 1: it is interesting to just to see, like, you know,

778
00:47:41,040 --> 00:47:44,560
Speaker 1: I think just the more like outward rejection of like

779
00:47:44,640 --> 00:47:46,680
Speaker 1: just kind of being like thoughts and prayers and being like, now,

780
00:47:46,719 --> 00:47:48,480
Speaker 1: this is this kind of sucked up. Although I do

781
00:47:48,520 --> 00:47:52,160
Speaker 1: feel like it's very cool. My only concern is like

782
00:47:52,200 --> 00:47:55,560
Speaker 1: with how incrementalism is in this country, that the new

783
00:47:55,600 --> 00:47:57,759
Speaker 1: normal is just to be like this is messed up,

784
00:47:59,120 --> 00:48:02,879
Speaker 1: whereas before it was just like thoughts and prayers. Yeah,

785
00:48:02,920 --> 00:48:05,399
Speaker 1: and now they're like, this is messed up. Don't ask

786
00:48:05,400 --> 00:48:07,200
Speaker 1: me to do much more, but it is messed up.

787
00:48:07,440 --> 00:48:11,200
Speaker 1: The heat message is remarkably like from the year eighteen

788
00:48:11,880 --> 00:48:14,280
Speaker 1: for the first half of it, like they do a

789
00:48:14,320 --> 00:48:18,120
Speaker 1: moment of silence. They ask everybody to like honor the

790
00:48:18,200 --> 00:48:22,040
Speaker 1: losses of the families who lost children and you know

791
00:48:22,120 --> 00:48:24,840
Speaker 1: their memory and it is like thoughts and prayers, e

792
00:48:25,400 --> 00:48:29,160
Speaker 1: And obviously it's silent because they're doing a moment of silence.

793
00:48:29,200 --> 00:48:33,680
Speaker 1: But then when they give everybody a phone number to

794
00:48:33,800 --> 00:48:37,960
Speaker 1: call to prep put pressure on their local politicians to

795
00:48:38,239 --> 00:48:44,799
Speaker 1: pass gun control reform, like the crowd like really, you

796
00:48:44,880 --> 00:48:49,080
Speaker 1: know they it shouldn't be surprising, but the crowd really

797
00:48:49,080 --> 00:48:52,680
Speaker 1: like gets behind it and like starts cheering almost uniformly,

798
00:48:52,800 --> 00:48:58,239
Speaker 1: like there's almost uniform approach approval, and like, I don't

799
00:48:58,280 --> 00:49:00,640
Speaker 1: know that that does, like I feel like that's a

800
00:49:00,719 --> 00:49:05,160
Speaker 1: good yeah, yeah, exactly, which is probably why Marco Rubio

801
00:49:05,239 --> 00:49:08,279
Speaker 1: was like what the fuck is going on? Yeah, Marco

802
00:49:08,400 --> 00:49:10,880
Speaker 1: Rubio and not happy. I mean, I I don't know.

803
00:49:10,920 --> 00:49:15,160
Speaker 1: This is something I've always wondered, right, Like, tragedy touches

804
00:49:15,360 --> 00:49:18,680
Speaker 1: every person, regardless of your political ideology. And I know

805
00:49:18,800 --> 00:49:21,760
Speaker 1: sometimes it's may be easy to wait, easier to explain

806
00:49:21,800 --> 00:49:24,560
Speaker 1: away why something may have happened. But on some level,

807
00:49:25,800 --> 00:49:28,280
Speaker 1: I'd imagine if you're a human, even though you maybe

808
00:49:28,320 --> 00:49:30,880
Speaker 1: you know maga to the to down to your bones,

809
00:49:31,320 --> 00:49:35,279
Speaker 1: that you may have experienced loss in your life and

810
00:49:35,320 --> 00:49:37,719
Speaker 1: for a moment where like that's awful to like lose

811
00:49:37,719 --> 00:49:41,520
Speaker 1: a child, and that's I do. I am aware of

812
00:49:41,560 --> 00:49:46,240
Speaker 1: that sensation. And to then hear someone be so shitty

813
00:49:46,239 --> 00:49:48,440
Speaker 1: in the face of it, like repeatedly, like maybe the

814
00:49:48,480 --> 00:49:51,080
Speaker 1: first forty times it was like easy to hide it.

815
00:49:51,600 --> 00:49:53,840
Speaker 1: But there is something I think just like everybody was

816
00:49:53,840 --> 00:49:55,959
Speaker 1: talking last week, like we all were talking about moments,

817
00:49:56,000 --> 00:50:00,120
Speaker 1: were just breaking down just by not even because is

818
00:50:00,160 --> 00:50:02,319
Speaker 1: like We're like there was something different about this one.

819
00:50:02,360 --> 00:50:05,080
Speaker 1: It's like I feel like we're collectively reaching this like

820
00:50:05,640 --> 00:50:09,520
Speaker 1: tipping point where it's really difficult to kind of keep

821
00:50:09,960 --> 00:50:12,359
Speaker 1: being like that, Okay, well maybe it'll be a while

822
00:50:12,400 --> 00:50:14,080
Speaker 1: to the next one and we can figure it out

823
00:50:14,120 --> 00:50:17,400
Speaker 1: the interim it's going to be like tomorrow. I know

824
00:50:17,480 --> 00:50:20,719
Speaker 1: that sounds bad, no, And I think that's I think

825
00:50:20,760 --> 00:50:23,319
Speaker 1: the reaction of politicians is one thing. But I just

826
00:50:23,360 --> 00:50:26,800
Speaker 1: think for for people like we can't we're not going

827
00:50:26,840 --> 00:50:30,280
Speaker 1: home taking away like millions and donations from interest groups

828
00:50:30,320 --> 00:50:33,720
Speaker 1: to like stay in office to help soothe our word.

829
00:50:35,760 --> 00:50:40,400
Speaker 1: What do you think, Yeah, oh, man, Miles is in

830
00:50:40,440 --> 00:50:43,120
Speaker 1: the fucking pocket of big mail, or as they call it,

831
00:50:43,160 --> 00:50:49,120
Speaker 1: in the jar. But but it does. It is one

832
00:50:49,160 --> 00:50:53,160
Speaker 1: of those things where like the response like it the

833
00:50:53,239 --> 00:50:56,000
Speaker 1: ship is the tricks don't work on people anymore. It's like,

834
00:50:56,040 --> 00:50:57,480
Speaker 1: how are you going to look at that and not

835
00:50:57,880 --> 00:51:01,480
Speaker 1: say something that's more substantive Now again, but with how

836
00:51:01,520 --> 00:51:04,560
Speaker 1: incremental things feel, it may just push the thing the

837
00:51:04,600 --> 00:51:08,400
Speaker 1: goalpost just a couple inches. Where now the responses and

838
00:51:08,520 --> 00:51:11,600
Speaker 1: thoughts and prayers, it's like, what are they doing in Washington?

839
00:51:12,120 --> 00:51:16,120
Speaker 1: Also here your donations in Washington. But that's just like

840
00:51:16,239 --> 00:51:18,080
Speaker 1: the new face of the game. I don't know, It's

841
00:51:18,080 --> 00:51:19,920
Speaker 1: it's hard to know until we really kind of get

842
00:51:19,920 --> 00:51:22,440
Speaker 1: on the other side of it. I think all pressure,

843
00:51:22,480 --> 00:51:26,400
Speaker 1: any any pressure anybody can apply is great, you know,

844
00:51:26,480 --> 00:51:29,719
Speaker 1: on the on the sports front. And I'm wondering if

845
00:51:29,840 --> 00:51:35,040
Speaker 1: Canada is doing the thing like a good parent where

846
00:51:35,040 --> 00:51:38,520
Speaker 1: they just like model the good behavior. They don't directly

847
00:51:38,600 --> 00:51:40,520
Speaker 1: tell the kid to do it, but they're just like

848
00:51:40,760 --> 00:51:42,719
Speaker 1: when the kid is having a temper tantrum, they get

849
00:51:42,719 --> 00:51:46,160
Speaker 1: calmer and they like bring it down here and they're like, hey,

850
00:51:46,480 --> 00:51:50,640
Speaker 1: what so you know, sometimes I get angry too, but

851
00:51:51,040 --> 00:51:54,600
Speaker 1: they're really the only way big smile on my face

852
00:51:54,600 --> 00:51:57,600
Speaker 1: when I get angry and a giant glass of sharp

853
00:51:57,680 --> 00:52:02,880
Speaker 1: NAIs close by suddenly I'm not being more we've done it.

854
00:52:03,520 --> 00:52:05,319
Speaker 1: I don't know, but I mean, like, you know, just

855
00:52:05,440 --> 00:52:07,520
Speaker 1: like when when we do our show Being Canada, like

856
00:52:07,560 --> 00:52:10,480
Speaker 1: wow healthcare, They're like, look no dental, no mental, and

857
00:52:10,520 --> 00:52:16,239
Speaker 1: I'm like, hey, we got nothing. So that's cool. But

858
00:52:16,680 --> 00:52:19,399
Speaker 1: I mean, I don't know, I think or it could

859
00:52:19,440 --> 00:52:22,680
Speaker 1: just we're like, oh, what's their endgame here? It's like

860
00:52:22,960 --> 00:52:28,799
Speaker 1: maybe they they take care of I don't know. I

861
00:52:28,800 --> 00:52:31,480
Speaker 1: think it's about us, if I had to guess, it's

862
00:52:31,520 --> 00:52:34,440
Speaker 1: about us. Now I'm saying about them. They're trying to

863
00:52:34,480 --> 00:52:37,359
Speaker 1: say fuck you to us right now. It really can

864
00:52:37,600 --> 00:52:39,520
Speaker 1: Look what we can do, and look what you can do,

865
00:52:39,600 --> 00:52:43,680
Speaker 1: but you're not doing it. Yeah, all right, well let's

866
00:52:43,680 --> 00:52:45,600
Speaker 1: take a quick break. We'll come back. We'll talk about

867
00:52:45,600 --> 00:52:48,000
Speaker 1: a movie that has some good ideas of what we

868
00:52:48,040 --> 00:53:00,880
Speaker 1: can do to Canada, and that is Top Gun. And

869
00:53:00,960 --> 00:53:06,880
Speaker 1: we're back. So we've we've heard the Netflix stock price

870
00:53:07,400 --> 00:53:11,040
Speaker 1: is going down and they are in a panic, just

871
00:53:12,160 --> 00:53:17,919
Speaker 1: flat panic. The freaking they're freaking man, fucking freaking out man,

872
00:53:19,040 --> 00:53:21,880
Speaker 1: which I don't know. I always find that a little

873
00:53:21,880 --> 00:53:26,000
Speaker 1: bit suspect because the people who have who who that

874
00:53:26,120 --> 00:53:30,120
Speaker 1: actually affects are not the majority of the employees. It's

875
00:53:30,200 --> 00:53:35,520
Speaker 1: like the executive team who have the millions of dollars

876
00:53:35,560 --> 00:53:39,879
Speaker 1: in Netflix stock and suddenly they're scared and pissed and

877
00:53:40,000 --> 00:53:44,799
Speaker 1: firing everybody, which seems like what is happening in Netflix?

878
00:53:45,320 --> 00:53:48,839
Speaker 1: But they've kind of announced a a new direction that

879
00:53:48,880 --> 00:53:53,920
Speaker 1: they're taking things. Yeah, they're focusing on making bigger quote

880
00:53:53,640 --> 00:53:58,000
Speaker 1: quote quote, focusing on making bigger movies, making better movies,

881
00:53:58,040 --> 00:54:02,080
Speaker 1: and releasing fewer than it previously did at a gluttonous pace.

882
00:54:02,600 --> 00:54:05,560
Speaker 1: Damn sure. Yeah, I think I think the wording of

883
00:54:05,600 --> 00:54:08,719
Speaker 1: that is certainly appropriate considering how much concept Netflix was

884
00:54:08,760 --> 00:54:11,000
Speaker 1: just pumping out and all of a sudden you would

885
00:54:11,040 --> 00:54:13,239
Speaker 1: just go on Netflix and everything that you used to

886
00:54:13,239 --> 00:54:15,680
Speaker 1: see as like oh yeah we'll watch this and Neflix

887
00:54:15,760 --> 00:54:17,840
Speaker 1: or that. It was just populated by shows. You're like,

888
00:54:17,880 --> 00:54:20,760
Speaker 1: what even is this? What is this? This movie? The show,

889
00:54:20,840 --> 00:54:23,280
Speaker 1: this thing I've absolutely never heard of with that little

890
00:54:23,320 --> 00:54:26,040
Speaker 1: red end in the top corner, like ah, yes, this

891
00:54:26,160 --> 00:54:29,400
Speaker 1: is a Netflix joint. Also using the phrase gluttonous pace

892
00:54:29,760 --> 00:54:33,040
Speaker 1: feels very like self hating, Like it feels like somebody

893
00:54:33,040 --> 00:54:37,200
Speaker 1: who's like, I'm such a pig, I hate myself just

894
00:54:37,280 --> 00:54:40,279
Speaker 1: like looking in the mirror being yeah, I don't know,

895
00:54:40,440 --> 00:54:43,359
Speaker 1: just he's up. You guys made some good movies. You're

896
00:54:43,440 --> 00:54:46,480
Speaker 1: you're figuring ship out. Like I like the idea of

897
00:54:46,520 --> 00:54:49,720
Speaker 1: making bigger movies and better movies. I love good movies.

898
00:54:49,800 --> 00:54:53,600
Speaker 1: That's my thing. Here's the thing when Netflix, man, I

899
00:54:53,640 --> 00:54:59,879
Speaker 1: wish Netflix would admits the Netflix is misstepping a lot.

900
00:55:00,120 --> 00:55:03,600
Speaker 1: You know, they miss stepping with on social ship. They're

901
00:55:03,640 --> 00:55:07,160
Speaker 1: miss stepping with all the people they've let go and

902
00:55:07,200 --> 00:55:10,000
Speaker 1: all the shows they just like canceled. I just had

903
00:55:10,040 --> 00:55:12,279
Speaker 1: a show canceled on Netflix and animated a show that

904
00:55:12,320 --> 00:55:16,200
Speaker 1: I was on recorded already episodes. And when they did

905
00:55:16,239 --> 00:55:19,000
Speaker 1: that boot, I found out my ship is never coming

906
00:55:19,000 --> 00:55:22,000
Speaker 1: out beautiful. You know, like they missed up in a

907
00:55:22,040 --> 00:55:26,920
Speaker 1: lot doing ads and charging, you know, sharing passwords, when

908
00:55:26,960 --> 00:55:30,200
Speaker 1: that's how they got successful. I wish Netflix would just

909
00:55:30,239 --> 00:55:33,200
Speaker 1: be real about what they really want to be. Netflix

910
00:55:33,840 --> 00:55:38,680
Speaker 1: started off as the DVD subscription. They switched over and

911
00:55:38,760 --> 00:55:42,560
Speaker 1: introduced us to the world of streaming, and they became

912
00:55:42,680 --> 00:55:46,279
Speaker 1: the streaming site. Uh. Netflix doesn't want to be a

913
00:55:46,280 --> 00:55:50,520
Speaker 1: streaming site anymore. Netflix wants to be a production studio, right,

914
00:55:50,600 --> 00:55:52,520
Speaker 1: That's what they want to be. They want to be

915
00:55:53,080 --> 00:55:55,799
Speaker 1: a paramount, they want to be a Warner Brothers. They

916
00:55:55,800 --> 00:55:59,480
Speaker 1: want to be these type of things where it's not

917
00:55:59,600 --> 00:56:03,439
Speaker 1: about the streaming and it's about the having your name

918
00:56:04,040 --> 00:56:09,320
Speaker 1: on a movie or TV show alive, Warner Brothers, DreamWorks, Disney,

919
00:56:09,760 --> 00:56:12,600
Speaker 1: all these other places, and then you know, Netflix will

920
00:56:12,640 --> 00:56:15,480
Speaker 1: be their hub, like a Disney Plus or HBO Max

921
00:56:15,520 --> 00:56:17,680
Speaker 1: with Warner Brothers or you know, like it will be

922
00:56:17,680 --> 00:56:21,720
Speaker 1: a hub. But they want to be a production company.

923
00:56:21,760 --> 00:56:25,919
Speaker 1: And if they would just say that, like, things would

924
00:56:25,960 --> 00:56:29,760
Speaker 1: make so much more sense. You know, who doesn't get

925
00:56:30,800 --> 00:56:35,440
Speaker 1: ship for putting out things at a quote gluttonous pace.

926
00:56:36,320 --> 00:56:40,400
Speaker 1: Warner Brothers, because Warner Brothers is a fucking production company,

927
00:56:40,640 --> 00:56:43,879
Speaker 1: Like they're supposed to put out multiple movies a year

928
00:56:43,920 --> 00:56:47,360
Speaker 1: and multiple TV shows a year. And but because Netflix

929
00:56:47,480 --> 00:56:51,040
Speaker 1: is a streaming site and that's how they are still

930
00:56:51,120 --> 00:56:54,400
Speaker 1: marketing themselves. When they put out all these god awful

931
00:56:54,440 --> 00:56:58,120
Speaker 1: movies and or just a crazy amount of like content,

932
00:56:58,840 --> 00:57:01,160
Speaker 1: we look at it and we do say, oh, yes,

933
00:57:01,200 --> 00:57:03,719
Speaker 1: it's glutton is it's too much, like you know, like

934
00:57:03,760 --> 00:57:06,960
Speaker 1: I missed what Netflix used to be. Well because Netflix

935
00:57:06,960 --> 00:57:08,960
Speaker 1: society years ago that we don't want to be this

936
00:57:09,080 --> 00:57:11,040
Speaker 1: no more. We want to be a production company. We

937
00:57:11,080 --> 00:57:14,040
Speaker 1: want to get an award business. We want to win Oscars,

938
00:57:14,080 --> 00:57:16,760
Speaker 1: we want to win Emmys, we want to win all

939
00:57:16,840 --> 00:57:19,600
Speaker 1: these things, and we want to have us do. They're

940
00:57:19,600 --> 00:57:22,120
Speaker 1: building studios here in l A. We see them all that,

941
00:57:22,240 --> 00:57:25,200
Speaker 1: the Netflix studios with the sound stages and ship like that.

942
00:57:25,240 --> 00:57:27,400
Speaker 1: They want to be a production company. They should just

943
00:57:27,440 --> 00:57:30,760
Speaker 1: sucking say it, and they should stop bullshit. And and

944
00:57:30,920 --> 00:57:33,560
Speaker 1: I think people would give them more leeway as a

945
00:57:33,560 --> 00:57:36,480
Speaker 1: company if they just said, well, they actually are trying

946
00:57:36,520 --> 00:57:40,600
Speaker 1: to be as a business model. That's my opinion on Netflix. Yeah,

947
00:57:40,760 --> 00:57:43,720
Speaker 1: And I just I think there's they probably have a

948
00:57:43,760 --> 00:57:47,360
Speaker 1: perception issue because people just think of them as like

949
00:57:47,480 --> 00:57:51,400
Speaker 1: the like the Netflix was the one where like Kleenex

950
00:57:51,520 --> 00:57:53,840
Speaker 1: is the one word for tissues, like Netflix was the

951
00:57:53,840 --> 00:57:57,080
Speaker 1: one word for a while for anything like watching anything

952
00:57:57,080 --> 00:58:00,080
Speaker 1: on streaming. And then that's like the public perception. But

953
00:58:00,120 --> 00:58:02,760
Speaker 1: then on the business side, they are trying to Yeah,

954
00:58:02,800 --> 00:58:06,600
Speaker 1: they want people paying them for content to not just

955
00:58:06,720 --> 00:58:09,760
Speaker 1: like having to pay other people for for content. Yeah.

956
00:58:10,160 --> 00:58:13,000
Speaker 1: I think it's also just annoying that you know, in

957
00:58:13,040 --> 00:58:16,080
Speaker 1: these in these methods of cost cutting, it always comes

958
00:58:16,080 --> 00:58:18,280
Speaker 1: down to or since I always but it often comes

959
00:58:18,320 --> 00:58:21,960
Speaker 1: down to cutting employees. And in this article it says

960
00:58:22,000 --> 00:58:24,120
Speaker 1: that they're acting a hundred and fifty employees, which is,

961
00:58:24,160 --> 00:58:26,560
Speaker 1: you know, two percent of its workforce. Doesn't sound huge,

962
00:58:26,560 --> 00:58:28,560
Speaker 1: but that's still a hundred and fifty people that are

963
00:58:28,560 --> 00:58:31,920
Speaker 1: out of a job because you're spending too much money

964
00:58:32,000 --> 00:58:35,200
Speaker 1: on whack content. And I don't think that's necessarily any

965
00:58:35,200 --> 00:58:38,400
Speaker 1: of those fifty employees fault that, Like, if your cost

966
00:58:38,400 --> 00:58:40,959
Speaker 1: cutting measures are just like we're gonna keep making big ship,

967
00:58:40,960 --> 00:58:42,440
Speaker 1: but we're just gonna get rid of people so that

968
00:58:42,480 --> 00:58:44,880
Speaker 1: we can like slim down this process. It does not

969
00:58:45,000 --> 00:58:48,320
Speaker 1: make your content necessarily better to have less people working

970
00:58:48,360 --> 00:58:50,640
Speaker 1: on it. It's like you look at an enormous movie.

971
00:58:50,840 --> 00:58:53,000
Speaker 1: There's millions of people working on it because you want

972
00:58:53,000 --> 00:58:55,560
Speaker 1: to get a the best and you also don't want

973
00:58:55,560 --> 00:58:58,760
Speaker 1: to crunch whoever you have, and so just getting rid

974
00:58:58,800 --> 00:59:02,280
Speaker 1: of employees to save that money is it feels shortsighted

975
00:59:02,320 --> 00:59:04,720
Speaker 1: in terms of like creating better content when you know

976
00:59:05,000 --> 00:59:08,040
Speaker 1: more hands make light work, give you more opportunities. It's

977
00:59:08,080 --> 00:59:10,400
Speaker 1: just like, why why get rid of people as your

978
00:59:10,400 --> 00:59:13,280
Speaker 1: first measure? Just as they're saying make a few less

979
00:59:13,360 --> 00:59:15,800
Speaker 1: movies that will save you a lot of money. Especially

980
00:59:16,040 --> 00:59:18,840
Speaker 1: jack Is you've noted here that they spent what was

981
00:59:18,880 --> 00:59:25,600
Speaker 1: it and seventy five million dollars on The Irishman. It's ridiculous.

982
00:59:26,200 --> 00:59:29,400
Speaker 1: That's the one. Like they they're not saying like these

983
00:59:29,440 --> 00:59:31,720
Speaker 1: are the types of movies will never make again, except

984
00:59:31,800 --> 00:59:34,520
Speaker 1: that one. They're like, we're not making The Irishman again.

985
00:59:35,080 --> 00:59:37,760
Speaker 1: And the fact that they spent on hundred and seventy

986
00:59:37,840 --> 00:59:42,120
Speaker 1: five million dollars on that. Yeah, and it's not even

987
00:59:42,240 --> 00:59:45,080
Speaker 1: it's not even the amount. I mean, the amount is crazy.

988
00:59:45,560 --> 00:59:49,520
Speaker 1: And I'm not saying that like if if, if if

989
00:59:49,560 --> 00:59:52,640
Speaker 1: you heard like they spent that on The Avengers, you

990
00:59:52,680 --> 00:59:57,120
Speaker 1: would be like, okay, makes sense. But like The Irishman,

991
00:59:57,200 --> 01:00:04,960
Speaker 1: exactly three were drama all that money to make Robert

992
01:00:05,000 --> 01:00:08,560
Speaker 1: de Niro look like he was slightly younger and also

993
01:00:08,840 --> 01:00:13,120
Speaker 1: descended from like one of his ancestors was one of

994
01:00:13,160 --> 01:00:16,760
Speaker 1: the characters from the movie Polar Express. Yeah, that will

995
01:00:16,800 --> 01:00:19,479
Speaker 1: still be to this day one of the funniest fucking

996
01:00:19,520 --> 01:00:21,640
Speaker 1: scenes I've ever watched in my life is when Robert

997
01:00:21,640 --> 01:00:25,240
Speaker 1: de Niro man had to beat that dude ass and

998
01:00:27,280 --> 01:00:30,240
Speaker 1: they was like all right, he looked younger, but this

999
01:00:30,360 --> 01:00:32,560
Speaker 1: nigg is still got an eighty year old body. Hey

1000
01:00:32,680 --> 01:00:39,960
Speaker 1: movie clearly deal with bone density issues quite literally. Oh

1001
01:00:40,000 --> 01:00:44,240
Speaker 1: my god, that man. I mean at that moment, I

1002
01:00:44,320 --> 01:00:46,280
Speaker 1: was already born with the movie, and even though they

1003
01:00:46,280 --> 01:00:49,040
Speaker 1: gave me a hefty laugh, I was like, I can't,

1004
01:00:49,400 --> 01:00:52,919
Speaker 1: I can't enjoy the rest of this movie. Like it's

1005
01:00:53,000 --> 01:00:57,240
Speaker 1: pretty bad, but yeah, truly, truly the best thing about

1006
01:00:57,280 --> 01:01:02,560
Speaker 1: The Irishman was then wasting all of that money, especially

1007
01:01:02,520 --> 01:01:05,800
Speaker 1: Mark because Martin Scorsay, that's who did that, right, can't

1008
01:01:05,840 --> 01:01:09,440
Speaker 1: wasting all this money on this movie and it doesn't

1009
01:01:09,440 --> 01:01:12,960
Speaker 1: even look good, and then have the nerve to say,

1010
01:01:13,640 --> 01:01:18,280
Speaker 1: like MCU movies ain't real cinema, motherfucker. They could have

1011
01:01:18,320 --> 01:01:23,680
Speaker 1: did that ship better than you did one moment. Yeah, well,

1012
01:01:23,720 --> 01:01:26,600
Speaker 1: because they're aware that there are actors who are under

1013
01:01:26,640 --> 01:01:30,720
Speaker 1: the age of seventy and they would have they could

1014
01:01:30,760 --> 01:01:33,520
Speaker 1: have just cast them in the roles. I think all

1015
01:01:33,560 --> 01:01:39,520
Speaker 1: those performances, especially Patchy, really good. Not here to hit

1016
01:01:39,560 --> 01:01:42,520
Speaker 1: on it, but like to the fact that that costs

1017
01:01:42,520 --> 01:01:46,920
Speaker 1: a hundred and seventy five million, just like I don't know,

1018
01:01:46,840 --> 01:01:50,480
Speaker 1: nobody was like wow, like that that is what I

1019
01:01:50,560 --> 01:01:53,400
Speaker 1: want to see done like that. That is the magic,

1020
01:01:53,720 --> 01:01:56,040
Speaker 1: the movie magic that I want to see is like

1021
01:01:56,160 --> 01:01:59,720
Speaker 1: an old person made two look slightly younger like that.

1022
01:02:00,040 --> 01:02:04,439
Speaker 1: It it doesn't do anything I would like to add,

1023
01:02:04,560 --> 01:02:07,680
Speaker 1: just really briefly, that part of the value of spectacle

1024
01:02:08,280 --> 01:02:14,320
Speaker 1: is is seeing that spectacle in its total grandeur. Like

1025
01:02:14,440 --> 01:02:16,520
Speaker 1: you watch I think you brought up Avengers. I think

1026
01:02:16,520 --> 01:02:20,200
Speaker 1: it's a perfect point when you have a moment where

1027
01:02:20,200 --> 01:02:23,640
Speaker 1: there's literally every big actor in Hollywood on stage at

1028
01:02:23,680 --> 01:02:27,120
Speaker 1: once doing this awesome charge at each other moment with

1029
01:02:27,160 --> 01:02:29,120
Speaker 1: the main villain. You look at that and you're like,

1030
01:02:30,360 --> 01:02:33,080
Speaker 1: that's a That is a fucking spectacle that costs a

1031
01:02:33,120 --> 01:02:36,960
Speaker 1: lot of money, but it is showing itself. Another example

1032
01:02:37,440 --> 01:02:39,880
Speaker 1: is I just watched or I've said this a bunch

1033
01:02:39,880 --> 01:02:43,360
Speaker 1: of times, but the Taylor Swift Reputation Tour. You can

1034
01:02:43,400 --> 01:02:46,400
Speaker 1: see the video on Netflix, the the tour video of

1035
01:02:46,440 --> 01:02:49,680
Speaker 1: that show. You know how much money went into that

1036
01:02:49,720 --> 01:02:53,920
Speaker 1: tour and it shows. It shows in every aspect of

1037
01:02:53,960 --> 01:02:56,640
Speaker 1: this tour. And when you spend a bunch of money

1038
01:02:56,680 --> 01:02:58,880
Speaker 1: and you're looking at this thing going where that money go,

1039
01:02:59,280 --> 01:03:02,960
Speaker 1: that's a failure. That is a failure when you can't

1040
01:03:03,000 --> 01:03:05,560
Speaker 1: see why something would cost as much as it does.

1041
01:03:05,880 --> 01:03:10,240
Speaker 1: It's just like this, it's it's not worth it. Right. Yeah, Well,

1042
01:03:10,360 --> 01:03:12,720
Speaker 1: I'll tell you why all that money went. It went

1043
01:03:12,760 --> 01:03:15,840
Speaker 1: to Robert de Niro's salary because he gotta pay his

1044
01:03:15,960 --> 01:03:19,640
Speaker 1: ex wife have And I say, you know what, black

1045
01:03:19,760 --> 01:03:24,120
Speaker 1: queen gets your money, baby gets your money. Take that.

1046
01:03:24,440 --> 01:03:28,800
Speaker 1: Take that motherfucker for all he worth, Queen, take him.

1047
01:03:29,600 --> 01:03:34,880
Speaker 1: Uh that's where it all went. Naro was did he

1048
01:03:35,000 --> 01:03:38,640
Speaker 1: negotiate an extra money because he gotta you know, money? Now?

1049
01:03:39,360 --> 01:03:44,120
Speaker 1: All right, that's gonna do it for this week's Weekly Zeitgeys,

1050
01:03:44,160 --> 01:03:47,960
Speaker 1: please like and review the show. If you like the show,

1051
01:03:48,560 --> 01:03:52,960
Speaker 1: Uh means the world to Miles. He he needs your validation, folks.

1052
01:03:53,560 --> 01:03:56,640
Speaker 1: I hope you're having a great weekend and I will

1053
01:03:56,640 --> 01:04:01,880
Speaker 1: talk to him Monday. By S.