1
00:00:00,360 --> 00:00:03,600
Speaker 1: Hello the Internet, and welcome to season one, seventy six,

2
00:00:03,680 --> 00:00:08,160
Speaker 1: episode three of the production of My Heart Radio. This

3
00:00:08,280 --> 00:00:10,120
Speaker 1: is a podcast where we take a deep dive into

4
00:00:10,119 --> 00:00:16,160
Speaker 1: America's share consciousness. And it is Wednesday, March. My name

5
00:00:16,239 --> 00:00:21,239
Speaker 1: is Jack O'Brien. A K. Wake up, Miles, I think

6
00:00:21,320 --> 00:00:26,920
Speaker 1: I got something to read to you. British coal gas

7
00:00:27,000 --> 00:00:31,000
Speaker 1: is bad and it really isn't safe to use. I

8
00:00:31,120 --> 00:00:35,639
Speaker 1: know you think I'm insane, but the study's stuck up

9
00:00:35,680 --> 00:00:42,080
Speaker 1: in my brain. Oh Miles, this can't fuel my stove anymore.

10
00:00:42,560 --> 00:00:48,519
Speaker 1: Or that is courtesy of official Dickhead. And y'all, if

11
00:00:48,520 --> 00:00:50,640
Speaker 1: you want me to stop talking about the British cold

12
00:00:50,640 --> 00:00:53,720
Speaker 1: gas study, you can't imply in your A K A

13
00:00:54,080 --> 00:00:57,280
Speaker 1: that that study is about British cold gas being an

14
00:00:57,400 --> 00:01:03,400
Speaker 1: unsafe fueling alternative. For is about second degree suicide. It

15
00:01:03,560 --> 00:01:08,560
Speaker 1: is the means the means for someone killing themselves. A

16
00:01:08,560 --> 00:01:10,880
Speaker 1: lot of suicide second degree. It's heat of the moment,

17
00:01:11,120 --> 00:01:13,960
Speaker 1: and if you take away the weapon they use, uh,

18
00:01:14,000 --> 00:01:16,640
Speaker 1: then they will not kill themselves in a lot of cases.

19
00:01:16,720 --> 00:01:18,280
Speaker 1: That is what that I'm just gonna call it the

20
00:01:18,319 --> 00:01:23,400
Speaker 1: British second degree suicide study. Uh, it's not just that

21
00:01:23,920 --> 00:01:28,000
Speaker 1: a British cold gas turns out as stinky anyways, But

22
00:01:28,080 --> 00:01:32,800
Speaker 1: thank you great a k Ah, thank you Abstruse. I'm

23
00:01:32,840 --> 00:01:35,199
Speaker 1: thrilled to be joined as always buy my co host

24
00:01:35,319 --> 00:01:39,560
Speaker 1: Mr Miles Grab put the joint down in the PlayStation

25
00:01:39,600 --> 00:01:42,520
Speaker 1: controller because this is Tony Hawk bro skater, I am

26
00:01:42,560 --> 00:01:45,880
Speaker 1: Miles Great A A Stony Hawk, A A Dad burn Quist,

27
00:01:46,000 --> 00:01:50,360
Speaker 1: A Green Campbell, a K A Rune Spliffberg, a K

28
00:01:50,600 --> 00:01:53,200
Speaker 1: H Chad Pupska, A K Jamie Chronics A K A

29
00:01:53,320 --> 00:01:56,720
Speaker 1: Puffy Lastic a K. Jeff Drawley a K A Andrew

30
00:01:56,880 --> 00:02:02,000
Speaker 1: hand rolls and shout out. Finally Lissa steamroller. Uh. And

31
00:02:02,200 --> 00:02:05,120
Speaker 1: that one comes from the room, you know, straight into

32
00:02:05,240 --> 00:02:09,160
Speaker 1: my late nineties consciousness, early two thousands consciousness with that

33
00:02:09,240 --> 00:02:12,519
Speaker 1: Tony I mean, Tony Hawk's back on PlayStations though. Were

34
00:02:12,560 --> 00:02:16,079
Speaker 1: those all like playable skaters on Tony Hawk? Yeah, yeah, yeah,

35
00:02:16,160 --> 00:02:18,880
Speaker 1: Chad Musca, I don't think was in the second or

36
00:02:19,080 --> 00:02:20,880
Speaker 1: was didn't come into the second or third one, but

37
00:02:21,000 --> 00:02:24,600
Speaker 1: like you know, but you know, Bucky lastic Room, cliff Berg,

38
00:02:24,840 --> 00:02:27,280
Speaker 1: Bob Burnquist, Elsa steam or they're on the first one.

39
00:02:27,320 --> 00:02:30,560
Speaker 1: They're O g s shout out to uh all the

40
00:02:30,960 --> 00:02:35,840
Speaker 1: listeners who sent us pictures themselves, uh, pointing out that

41
00:02:36,400 --> 00:02:41,560
Speaker 1: they they are also lanky six ft two Adam's Apples,

42
00:02:41,880 --> 00:02:45,760
Speaker 1: who are easily mistakable for Tony Hawk. Yeah, more than

43
00:02:45,919 --> 00:02:48,799
Speaker 1: more than I thought there would be. But yeah, that

44
00:02:48,960 --> 00:02:52,399
Speaker 1: is that is a whole whole genre of like guy

45
00:02:52,880 --> 00:02:56,760
Speaker 1: the Tony Hawk, the Tony Hawk. We are thrilled to

46
00:02:56,800 --> 00:03:00,200
Speaker 1: be joined in our third seat by the brilliant, the

47
00:03:00,400 --> 00:03:06,480
Speaker 1: Talentip Maurice Chary. Thanks for having me, Thanks for having

48
00:03:07,560 --> 00:03:10,960
Speaker 1: being Thank you, And on the day before my birthday,

49
00:03:11,000 --> 00:03:13,440
Speaker 1: I have to say that this is I could not

50
00:03:13,560 --> 00:03:15,359
Speaker 1: have thought of a better way to ring in the

51
00:03:15,440 --> 00:03:20,800
Speaker 1: last day about thirties, So thank you. All right, because

52
00:03:20,840 --> 00:03:24,240
Speaker 1: today is St Patrick's day? What are we? What are

53
00:03:24,280 --> 00:03:27,919
Speaker 1: we doing official pre birthday turn up? Exactly? Wait, so Maurice,

54
00:03:27,960 --> 00:03:29,760
Speaker 1: what was it like for you? Because we spoke to

55
00:03:29,800 --> 00:03:32,079
Speaker 1: you I think in the summer, late for fall ish

56
00:03:32,560 --> 00:03:35,080
Speaker 1: and before the pant So that means did your did

57
00:03:35,120 --> 00:03:38,400
Speaker 1: your birthday last year get completely upended by pandemic? Absolutely?

58
00:03:38,680 --> 00:03:40,760
Speaker 1: So you're going this is too? Is this about to be?

59
00:03:40,960 --> 00:03:43,160
Speaker 1: Do you think you can carve out a slight thing,

60
00:03:43,400 --> 00:03:46,520
Speaker 1: a safety backyard thing this year what's your You know,

61
00:03:47,120 --> 00:03:49,760
Speaker 1: I'm just gonna have to delay it. At one point

62
00:03:49,800 --> 00:03:52,120
Speaker 1: in time, I said, I'm just gonna turn thirty nine again.

63
00:03:53,200 --> 00:03:55,120
Speaker 1: I'll just be thirty nine plus one or whatever. But

64
00:03:55,760 --> 00:03:58,560
Speaker 1: now that vaccines are coming out and it looks like

65
00:03:58,760 --> 00:04:01,960
Speaker 1: some I to say, social restrictions have been relaxed, but

66
00:04:02,040 --> 00:04:04,880
Speaker 1: I live in Atlanta where everyone has pretty much come

67
00:04:04,920 --> 00:04:08,160
Speaker 1: to place since we've only had three weeks of lockdown. Um,

68
00:04:08,720 --> 00:04:12,320
Speaker 1: so I don't know yet. I'm gonna plan something out,

69
00:04:12,360 --> 00:04:16,600
Speaker 1: probably later in the year, once the vaccines are more

70
00:04:16,680 --> 00:04:18,920
Speaker 1: out there to people in the immunity is greater. But

71
00:04:19,080 --> 00:04:22,200
Speaker 1: right now I can wait. Okay, good, yeah, Yeah, that

72
00:04:22,320 --> 00:04:26,760
Speaker 1: mugginess that is usually uh not so pleasant, turns out

73
00:04:26,839 --> 00:04:30,680
Speaker 1: is saving lives in the in the southeast of the

74
00:04:30,839 --> 00:04:33,600
Speaker 1: United States. Well we'll actually talk about that in a

75
00:04:33,720 --> 00:04:38,400
Speaker 1: little bit. Wait for real, Yeah, muggy humidity is good

76
00:04:38,560 --> 00:04:43,800
Speaker 1: for basically if the air is uh drenched, uh, then

77
00:04:44,320 --> 00:04:50,440
Speaker 1: the droplets drop down and we've already got pollen. Like

78
00:04:50,560 --> 00:04:54,200
Speaker 1: pollen is already crazy in Atlanta. So someone will sneeze

79
00:04:54,240 --> 00:04:58,000
Speaker 1: and you really don't know as a COVID could be

80
00:04:58,120 --> 00:05:01,920
Speaker 1: both could be neither, You don't know. Yeah. Meanwhile, like

81
00:05:02,120 --> 00:05:04,679
Speaker 1: my sneeze from two weeks ago is still just hanging

82
00:05:04,720 --> 00:05:07,280
Speaker 1: out outside my house because the air out here so

83
00:05:08,080 --> 00:05:12,480
Speaker 1: just dry. All right, Well, Maurice, we're gonna get to

84
00:05:12,520 --> 00:05:14,600
Speaker 1: know you a little bit better in a moment. First,

85
00:05:14,640 --> 00:05:16,440
Speaker 1: we're gonna tell our listeners a couple of the things

86
00:05:16,520 --> 00:05:20,320
Speaker 1: we're talking about today. Uh. We're gonna take a look

87
00:05:20,360 --> 00:05:22,839
Speaker 1: back at something I had forgotten about. I had assumed

88
00:05:22,920 --> 00:05:29,560
Speaker 1: it was be fucked, but the Kavanaugh FBI investigation from

89
00:05:30,320 --> 00:05:34,920
Speaker 1: all those decades ago during the Kavanaugh hearing, we'll talk

90
00:05:35,000 --> 00:05:37,680
Speaker 1: about that because we're we're starting to take a look

91
00:05:37,760 --> 00:05:40,559
Speaker 1: at it and it looks like it wasn't uh fully

92
00:05:40,640 --> 00:05:44,360
Speaker 1: on the up and up shocking. Uh. We'll talk about

93
00:05:44,400 --> 00:05:49,600
Speaker 1: a possible change of venue for the Choven trial Chaldon

94
00:05:50,120 --> 00:05:55,040
Speaker 1: fucking whatever that guy's name is, the murderer, uh cop trial.

95
00:05:55,800 --> 00:05:59,880
Speaker 1: We'll talk about how board Tucker Carlson is and the

96
00:06:00,080 --> 00:06:02,839
Speaker 1: uh I want to talk about the John Oliver thing

97
00:06:02,920 --> 00:06:06,840
Speaker 1: about him being a white supremacist. And then we'll talk

98
00:06:06,839 --> 00:06:11,640
Speaker 1: about California versus Florida, the aforementioned uh you know comparison

99
00:06:12,240 --> 00:06:16,599
Speaker 1: uh between the two that a lot of anti maskers

100
00:06:16,680 --> 00:06:20,839
Speaker 1: are like Yo, Florida one because they only had eleven

101
00:06:20,960 --> 00:06:26,200
Speaker 1: percent more people die than California on a per capita basis. Uh,

102
00:06:26,279 --> 00:06:29,679
Speaker 1: they're really spiking the football on that ship, which is weird,

103
00:06:29,839 --> 00:06:33,920
Speaker 1: but because they kind of kept things open there, like see,

104
00:06:34,160 --> 00:06:36,960
Speaker 1: this is fine, we we did it better. We're gonna

105
00:06:37,000 --> 00:06:41,120
Speaker 1: talk about some mitigating factors in that comparison. Uh, we'll

106
00:06:41,200 --> 00:06:47,200
Speaker 1: talk about the doting mother update. Uh, we have a

107
00:06:47,279 --> 00:06:52,880
Speaker 1: couple mothers who really went in all of that plenty more.

108
00:06:53,200 --> 00:06:57,240
Speaker 1: But first we like to ask our guests, Maurice, what

109
00:06:57,400 --> 00:07:00,640
Speaker 1: is something from your search history that is feeling about

110
00:07:00,640 --> 00:07:04,560
Speaker 1: who you are? Are? Well? Yeah, I guess, I mean,

111
00:07:04,640 --> 00:07:06,960
Speaker 1: you know, in terms of right now, the main thing

112
00:07:07,040 --> 00:07:12,240
Speaker 1: I've been searching for is Atlanta COVID vaccine availability. They've

113
00:07:12,320 --> 00:07:16,680
Speaker 1: just opened it up to larger groups here um in Atlanta,

114
00:07:16,720 --> 00:07:19,600
Speaker 1: which is great. That means I now qualify shoutout to

115
00:07:19,640 --> 00:07:22,800
Speaker 1: Team Chunk. So I qualified now to get the vaccine,

116
00:07:22,840 --> 00:07:26,440
Speaker 1: which is great. Uh, finding a time and a place

117
00:07:26,520 --> 00:07:29,520
Speaker 1: to get it is proving to be very difficult because

118
00:07:29,560 --> 00:07:32,560
Speaker 1: Georgia is the last in the country when it comes

119
00:07:32,560 --> 00:07:35,440
Speaker 1: to vaccine rollout. So they've opened it up to more

120
00:07:35,480 --> 00:07:38,240
Speaker 1: people and have yet made it infinitely harder to get,

121
00:07:38,400 --> 00:07:41,440
Speaker 1: so you're it's sort of like trying to find Beyonce tickets.

122
00:07:41,440 --> 00:07:45,200
Speaker 1: I would suppose it's just not that easy. So I'm

123
00:07:45,640 --> 00:07:47,920
Speaker 1: because at least you can hang out outside the venue

124
00:07:48,160 --> 00:07:51,040
Speaker 1: and just overpaid to get in the show, right, And

125
00:07:51,080 --> 00:07:53,920
Speaker 1: I mean vaccine look, I mean I would imagine people

126
00:07:53,920 --> 00:07:55,760
Speaker 1: are probably doing the same for vaccines, are just hanging

127
00:07:55,800 --> 00:07:59,280
Speaker 1: around like, you know, you got any vaccines at the

128
00:07:59,320 --> 00:08:00,760
Speaker 1: end of the day, you know you got another shot

129
00:08:00,840 --> 00:08:03,600
Speaker 1: left in that bottle, you know, which I've heard some

130
00:08:03,720 --> 00:08:05,480
Speaker 1: people actually are doing. And then of course there's a

131
00:08:05,560 --> 00:08:08,520
Speaker 1: number of people that are just like, yes, I have

132
00:08:08,680 --> 00:08:11,760
Speaker 1: co morbidities and I'm older, and I too will get

133
00:08:11,840 --> 00:08:15,480
Speaker 1: the vaccine, and you know, so just trying to find

134
00:08:15,520 --> 00:08:18,360
Speaker 1: it is tough. I know people who just got it

135
00:08:18,520 --> 00:08:22,840
Speaker 1: within the past week, just waiting around for leftovers, um yeah,

136
00:08:23,200 --> 00:08:26,200
Speaker 1: or calling doing the random you know, pharmacy, foam book

137
00:08:26,240 --> 00:08:27,720
Speaker 1: sweep and just be like you got any and you

138
00:08:27,800 --> 00:08:30,760
Speaker 1: got any ante I've got like five windows open. It's

139
00:08:30,800 --> 00:08:35,360
Speaker 1: like Minority Report. I'm like, let's see CBS got here, Waldraze,

140
00:08:35,360 --> 00:08:41,640
Speaker 1: you got something? Yea expand this one map hants, yes, yeah,

141
00:08:41,760 --> 00:08:44,719
Speaker 1: there's a real like kind of head fake they do

142
00:08:44,920 --> 00:08:50,439
Speaker 1: because you become of it, you become qualifying for the vaccine,

143
00:08:50,840 --> 00:08:53,240
Speaker 1: and then it's still just like you just enter a

144
00:08:53,360 --> 00:08:58,120
Speaker 1: new realm of Dante's Circles of Hell, where it's just like,

145
00:08:58,240 --> 00:09:03,280
Speaker 1: now you have to figure out how to navigate this labyrinth, right.

146
00:09:03,880 --> 00:09:06,439
Speaker 1: I wonder when I mean, we're I'm still waiting for

147
00:09:07,280 --> 00:09:09,360
Speaker 1: l A to expand, but it''s gonna take some time

148
00:09:09,360 --> 00:09:11,959
Speaker 1: because there's a lot more people here. But I think,

149
00:09:12,040 --> 00:09:14,800
Speaker 1: like every state, it seems like there are if you

150
00:09:14,920 --> 00:09:18,800
Speaker 1: are unsavory or let's say you lack some moral scruples,

151
00:09:18,960 --> 00:09:23,000
Speaker 1: you're an unscrupulous character, that there are ways to get that. Um.

152
00:09:23,120 --> 00:09:26,199
Speaker 1: And for those people who are acknowledging the disparities that

153
00:09:26,280 --> 00:09:29,079
Speaker 1: exists in the inequity in the country, you're like, yeah, yeah,

154
00:09:29,200 --> 00:09:32,000
Speaker 1: that's not that ain't that's not time for me right now? No, no, no, um.

155
00:09:32,120 --> 00:09:34,240
Speaker 1: But yeah, it's it sucks to hear that. No matter

156
00:09:34,320 --> 00:09:36,560
Speaker 1: what it's for the people that need it, it's still

157
00:09:36,840 --> 00:09:39,439
Speaker 1: very much like a wait and see type thing. Well,

158
00:09:39,480 --> 00:09:42,480
Speaker 1: didn't Biden have the recent sort of talk where he

159
00:09:42,600 --> 00:09:44,120
Speaker 1: mentioned that he would try to make sure that every

160
00:09:44,120 --> 00:09:47,200
Speaker 1: adult would at least have a vaccine by the beginning

161
00:09:47,200 --> 00:09:48,720
Speaker 1: of May or something like that. Yeah, that it would

162
00:09:48,720 --> 00:09:52,360
Speaker 1: be of the doses would be like available enough. But

163
00:09:52,440 --> 00:09:56,080
Speaker 1: then it's the rollout. You know, we'll see ludicrous how

164
00:09:56,160 --> 00:10:02,200
Speaker 1: you roll that out? Got get those in arms? Yeah,

165
00:10:02,440 --> 00:10:04,199
Speaker 1: because like this whole thing is like a hundred million

166
00:10:04,280 --> 00:10:08,760
Speaker 1: shots and a hundred million checks like in pockets. Uh.

167
00:10:09,200 --> 00:10:12,160
Speaker 1: But you know, unless you're over that eighty dollar cliff,

168
00:10:12,160 --> 00:10:13,760
Speaker 1: and then we can talk about how many checks that

169
00:10:13,840 --> 00:10:15,480
Speaker 1: might actually be compared to Trump. But you know, let

170
00:10:15,640 --> 00:10:18,280
Speaker 1: let's move on. Let's Yeah. We talked yesterday about how

171
00:10:18,840 --> 00:10:24,400
Speaker 1: Israel has had some success with their fifty percent of

172
00:10:24,520 --> 00:10:27,679
Speaker 1: their population has it, and mentioned a couple of the

173
00:10:27,760 --> 00:10:30,559
Speaker 1: things that they have gone for them, such as, um

174
00:10:31,040 --> 00:10:36,000
Speaker 1: universal health care and uh this green pass thing that

175
00:10:36,080 --> 00:10:38,679
Speaker 1: basically makes it so you can do stuff once you

176
00:10:38,720 --> 00:10:41,040
Speaker 1: get the vaccine, so people are extra motivated. But uh,

177
00:10:41,480 --> 00:10:45,880
Speaker 1: something we didn't mention that is also a mitigating factor

178
00:10:46,679 --> 00:10:52,360
Speaker 1: is that nat and Yah who is possibly going to jail. Uh,

179
00:10:52,480 --> 00:10:54,880
Speaker 1: and the only way that he's staying out of jail

180
00:10:55,400 --> 00:10:59,520
Speaker 1: is by like staying in his voters good graces. So

181
00:10:59,640 --> 00:11:02,400
Speaker 1: I think that might be something we wanna kind of investigate.

182
00:11:02,520 --> 00:11:06,680
Speaker 1: Is like governors go to prison? Is this net and Yahoo?

183
00:11:06,720 --> 00:11:15,720
Speaker 1: Guy above board? You know, as a guy I'm from Philly,

184
00:11:16,080 --> 00:11:19,800
Speaker 1: you know I don't want like you versions on my character. Yeah.

185
00:11:19,840 --> 00:11:21,840
Speaker 1: Maybe I'm trying to get the vaccine out to avoid

186
00:11:21,880 --> 00:11:27,080
Speaker 1: the clink. But hey, let's let's threaten all politicians who

187
00:11:27,160 --> 00:11:30,160
Speaker 1: are in charge of life and death things with prison.

188
00:11:30,320 --> 00:11:33,640
Speaker 1: See how how much quicker we get those vaccines. They'll

189
00:11:33,640 --> 00:11:37,000
Speaker 1: be knocking on our doors because apparently re election isn't enough.

190
00:11:37,240 --> 00:11:39,640
Speaker 1: So yeah, what how do we raise this? Well, they

191
00:11:39,720 --> 00:11:44,960
Speaker 1: got that locked down, they got that system is fixed. Maurice,

192
00:11:45,040 --> 00:11:49,040
Speaker 1: what is something you think is overrated? Oh? My god? Um,

193
00:11:50,200 --> 00:11:54,000
Speaker 1: the Coming to America sequel. Oh is it bad? It's

194
00:11:54,600 --> 00:11:58,439
Speaker 1: so bad. And the thing about it is that it

195
00:11:58,520 --> 00:12:02,000
Speaker 1: didn't have to be bad, right I think? You know.

196
00:12:02,600 --> 00:12:04,720
Speaker 1: Of course, there's all this stuff about reboots and people

197
00:12:04,760 --> 00:12:06,320
Speaker 1: want to bring back these sort of you know, very

198
00:12:06,400 --> 00:12:11,920
Speaker 1: popular franchises from before, and the movie does some things around. Well,

199
00:12:12,120 --> 00:12:14,439
Speaker 1: let me be completely honest, they do a lot of

200
00:12:14,520 --> 00:12:18,520
Speaker 1: ship around the old movie. It's almost like they had

201
00:12:18,520 --> 00:12:21,319
Speaker 1: an intern right down. Every catchphrase that has caught off

202
00:12:22,280 --> 00:12:26,480
Speaker 1: in the past thirty years and just like through darts

203
00:12:26,559 --> 00:12:28,640
Speaker 1: at a board to figure out where it could go

204
00:12:28,760 --> 00:12:30,719
Speaker 1: into the movie. Off the top of my mind, do

205
00:12:30,880 --> 00:12:36,720
Speaker 1: we get in the face? Uh, something like that chocolate

206
00:12:37,320 --> 00:12:45,199
Speaker 1: yes sexual chocolate day? Yeah, that's literally is there a

207
00:12:45,360 --> 00:12:49,800
Speaker 1: yes too? I mean I think the fact that a

208
00:12:49,960 --> 00:12:53,000
Speaker 1: large part of the premises based on date rape, uh

209
00:12:53,640 --> 00:12:57,120
Speaker 1: rather casually, So I should mention what is a is

210
00:12:57,160 --> 00:13:00,839
Speaker 1: a harbinger for just how oft tone the rest of

211
00:13:00,920 --> 00:13:05,600
Speaker 1: the movie kind of is. It's it's star studded cast.

212
00:13:05,679 --> 00:13:08,679
Speaker 1: Don't get me wrong, what's what's the snipes? Tiana Taylor, anybody?

213
00:13:08,679 --> 00:13:12,880
Speaker 1: I mean? Great cast, horrible plot. Kenya Burrows wrote it,

214
00:13:13,000 --> 00:13:19,079
Speaker 1: So it's coming to America, ish, right, that's what it.

215
00:13:19,200 --> 00:13:22,240
Speaker 1: Part of me like was really, look, I knew it

216
00:13:22,320 --> 00:13:24,240
Speaker 1: came out, but part of me was like, I don't

217
00:13:24,280 --> 00:13:26,800
Speaker 1: want to watch it and it not hit the same

218
00:13:27,160 --> 00:13:30,160
Speaker 1: and me just ruined my weekend. It's not gonna hit

219
00:13:30,200 --> 00:13:32,640
Speaker 1: the same. I don't care how many edibles you take,

220
00:13:32,760 --> 00:13:34,880
Speaker 1: how many joys you smoke, it's not going to hit

221
00:13:34,920 --> 00:13:38,240
Speaker 1: the same. Because the first I say that from personal experience,

222
00:13:38,280 --> 00:13:40,640
Speaker 1: but it's just not going to hit the same. There

223
00:13:40,679 --> 00:13:44,720
Speaker 1: are there are laughs, though I've heard there are laughs

224
00:13:44,880 --> 00:13:46,640
Speaker 1: like that. I mean it's a it's a comedy, so

225
00:13:47,120 --> 00:13:52,720
Speaker 1: ostensibly there are laughs, but actually, yeah, is this okay?

226
00:13:52,760 --> 00:13:54,800
Speaker 1: But is there there there there wrong? There's some people

227
00:13:54,840 --> 00:13:58,439
Speaker 1: that saw it that loved it, I mean suspend disbelief

228
00:13:58,720 --> 00:14:02,960
Speaker 1: and plot holes and flimsy characterization. It's probably a very

229
00:14:03,000 --> 00:14:05,400
Speaker 1: funny movie. I'm not saying you have to go into

230
00:14:05,480 --> 00:14:07,880
Speaker 1: it like thinking about it. But it's also just not

231
00:14:08,160 --> 00:14:11,199
Speaker 1: that good, right, I mean, the original was r This

232
00:14:11,280 --> 00:14:12,880
Speaker 1: is a PG. Thirteen, so that kind of gives you

233
00:14:12,880 --> 00:14:15,880
Speaker 1: a bit of a sense of how toned down some

234
00:14:16,080 --> 00:14:18,800
Speaker 1: things are. It's just not that good. I mean I

235
00:14:18,880 --> 00:14:22,320
Speaker 1: saw like a clip, Yeah, I saw a clip that

236
00:14:22,400 --> 00:14:24,440
Speaker 1: they put on a social of like the barber Shop

237
00:14:24,600 --> 00:14:26,560
Speaker 1: and seeing all those characters come back, and my first

238
00:14:26,600 --> 00:14:32,000
Speaker 1: thought was like, yeah, they're still alive, and also they

239
00:14:32,040 --> 00:14:35,400
Speaker 1: didn't age because they're old. But then you look at

240
00:14:36,360 --> 00:14:40,080
Speaker 1: looking Semi and Keem and you're like, mother's got right,

241
00:14:40,920 --> 00:14:43,800
Speaker 1: and and the barbers are the same age, they're still

242
00:14:43,920 --> 00:14:47,920
Speaker 1: at the same shop. Like gentrification hasn't wiped all of that.

243
00:14:48,160 --> 00:14:51,880
Speaker 1: It's less He's like, my browns don't. And I was

244
00:14:51,960 --> 00:14:54,000
Speaker 1: like Okay, I get it. We get some gentrification humor

245
00:14:54,080 --> 00:14:56,600
Speaker 1: in there, but it's it's not it's not good. It

246
00:14:56,680 --> 00:14:59,080
Speaker 1: is Kane Barris from New York because it's a very

247
00:14:59,200 --> 00:15:02,600
Speaker 1: New York my I don't know the first one at least,

248
00:15:02,640 --> 00:15:05,800
Speaker 1: it was like a very I think, yeah, I mean,

249
00:15:05,920 --> 00:15:08,720
Speaker 1: come on, man, But they bring back pretty much every

250
00:15:08,840 --> 00:15:14,640
Speaker 1: character except for Lisa's sister and Samuel L. Jackson. Other

251
00:15:14,720 --> 00:15:16,880
Speaker 1: than that, I think every other character from the movie

252
00:15:17,000 --> 00:15:19,320
Speaker 1: is probably in there. I don't think. I don't think

253
00:15:19,360 --> 00:15:21,120
Speaker 1: the deadbeat landlord is in No, he's not in it,

254
00:15:21,200 --> 00:15:25,200
Speaker 1: but no, no, Eric Losal is not in Okay, and

255
00:15:25,320 --> 00:15:29,040
Speaker 1: he made some interview about why he was not going

256
00:15:29,120 --> 00:15:31,560
Speaker 1: to be a part of it or whatever. But it's

257
00:15:31,560 --> 00:15:33,920
Speaker 1: probably for the best given how bad the movie is,

258
00:15:34,680 --> 00:15:37,880
Speaker 1: right right, Yeah, I mean Darryl was like, you know,

259
00:15:38,040 --> 00:15:41,200
Speaker 1: the iconic bad guy, you know, with his soul glow

260
00:15:41,240 --> 00:15:44,560
Speaker 1: and he's getting his Jerry Crawl juice all over the couch. Yeah,

261
00:15:45,320 --> 00:15:48,840
Speaker 1: those those kinds of jokes do not exist in this movie,

262
00:15:48,960 --> 00:15:52,560
Speaker 1: right because those are like super on point that so

263
00:15:52,760 --> 00:15:54,920
Speaker 1: you're saying it kind of just got overly broad or

264
00:15:55,000 --> 00:15:57,280
Speaker 1: something like you just say, they introduced a lot of

265
00:15:57,400 --> 00:16:01,280
Speaker 1: new characters. There is a lot of it was filmed

266
00:16:01,360 --> 00:16:07,120
Speaker 1: I think in Rick Ross's mansion. Um, it's is that

267
00:16:07,240 --> 00:16:10,200
Speaker 1: like a joke. It's not a joke, it's not a

268
00:16:10,480 --> 00:16:14,400
Speaker 1: it's like the literal musician rapper Rick Ross in his mansion,

269
00:16:14,600 --> 00:16:19,640
Speaker 1: like whoa because of like COVID things. No, this was

270
00:16:19,920 --> 00:16:22,280
Speaker 1: this movie was supposed to come out in nineteen. They've

271
00:16:22,320 --> 00:16:25,480
Speaker 1: sat on it for like a whole year. Wow. Man,

272
00:16:25,840 --> 00:16:29,600
Speaker 1: that that is a real bummer to me that Frankie

273
00:16:29,680 --> 00:16:33,360
Speaker 1: Faisan doesn't come back as the deadbeat landlord because real

274
00:16:33,840 --> 00:16:36,440
Speaker 1: like people who really like coming to America, Like those

275
00:16:36,480 --> 00:16:38,920
Speaker 1: are some of those are some of my favorite lines

276
00:16:39,240 --> 00:16:42,320
Speaker 1: where it's like, yeah, it's a real ship, you'll love it.

277
00:16:42,680 --> 00:16:44,600
Speaker 1: And and the reason that I the reason I'm saying

278
00:16:44,640 --> 00:16:47,520
Speaker 1: it's overrated because like I see a lot of promotion

279
00:16:47,600 --> 00:16:49,560
Speaker 1: around and I'm seeing a lot of interviews around it.

280
00:16:49,840 --> 00:16:52,720
Speaker 1: I'm not seeing a lot of good I mean Twitter

281
00:16:52,880 --> 00:16:55,000
Speaker 1: people on Twitter like oh this is hilarious. It's not

282
00:16:55,080 --> 00:16:58,360
Speaker 1: a good movie. Yeah, I mean it seems like everything

283
00:16:58,440 --> 00:17:01,800
Speaker 1: when you even just search review it's universally it's like

284
00:17:01,880 --> 00:17:05,280
Speaker 1: either tepid or they're slamming it. So yeah, lots of

285
00:17:05,400 --> 00:17:08,159
Speaker 1: musical performances for some reason, which are not really I

286
00:17:08,240 --> 00:17:10,520
Speaker 1: mean there are musical performances in the first movie, of course,

287
00:17:10,560 --> 00:17:12,320
Speaker 1: you know she's your going to be all that, you know,

288
00:17:12,440 --> 00:17:16,040
Speaker 1: soul glow theme, of course, But like Gladys Night does

289
00:17:16,080 --> 00:17:21,120
Speaker 1: a rendition of Midnight Trains to Zamunda. That's like, why

290
00:17:22,640 --> 00:17:27,600
Speaker 1: the description, That's the second detail in a row that

291
00:17:27,720 --> 00:17:34,399
Speaker 1: I'm like, why is he making ship up slander? This

292
00:17:34,560 --> 00:17:37,560
Speaker 1: is all made up? And and the thing is like

293
00:17:37,680 --> 00:17:39,720
Speaker 1: the of course, like the Queen to Be song that

294
00:17:39,800 --> 00:17:42,119
Speaker 1: I think, like the Chancellor, one of the consorts sing

295
00:17:42,680 --> 00:17:45,800
Speaker 1: is in the credits. It's not even in the actual movie.

296
00:17:45,840 --> 00:17:48,680
Speaker 1: It's in the credits, sung by John Legend pretty well,

297
00:17:48,920 --> 00:17:51,760
Speaker 1: but it's in the credits. Yeah, it's just not I

298
00:17:51,800 --> 00:17:53,080
Speaker 1: think it's one of the things too, like are we

299
00:17:53,240 --> 00:17:56,320
Speaker 1: like because we were so close to the original thing too?

300
00:17:56,480 --> 00:17:58,679
Speaker 1: Where do you think it will invite a new audience,

301
00:17:58,720 --> 00:18:00,159
Speaker 1: because I know it's I feel like it's I was

302
00:18:00,240 --> 00:18:01,720
Speaker 1: like how I would feel like when the Star Wars

303
00:18:01,760 --> 00:18:03,200
Speaker 1: prequels came on, like they didn't need to funk with

304
00:18:03,240 --> 00:18:06,680
Speaker 1: it like that they has something going. But I just

305
00:18:06,760 --> 00:18:12,800
Speaker 1: think the comedy was perhaps edgier. I think that's true

306
00:18:12,840 --> 00:18:14,800
Speaker 1: of a lot of comedy, like when you go back

307
00:18:14,840 --> 00:18:17,920
Speaker 1: and watch some of the like True Lies is one

308
00:18:18,040 --> 00:18:21,040
Speaker 1: that like when you when you go back and watch that,

309
00:18:21,240 --> 00:18:24,280
Speaker 1: like there's no way they have that build built tax

310
00:18:24,440 --> 00:18:27,840
Speaker 1: and character saying asked like a ten year old boy,

311
00:18:28,240 --> 00:18:35,840
Speaker 1: like in a modern movie like The Get Wet. Yeah

312
00:18:35,960 --> 00:18:38,359
Speaker 1: it's the nineties, man, because it was basically we turned

313
00:18:38,440 --> 00:18:40,960
Speaker 1: up the eighties even hotter, but like did it with

314
00:18:41,080 --> 00:18:45,440
Speaker 1: some like nice sheen and CG effects. Basically yeah, it

315
00:18:45,520 --> 00:18:49,359
Speaker 1: felt like there was more sort of picking at black culture.

316
00:18:49,400 --> 00:18:51,480
Speaker 1: I think a little bit because the dichotomy that's set

317
00:18:51,560 --> 00:18:55,400
Speaker 1: up in Coming to America is like rich affluent Africans

318
00:18:55,520 --> 00:18:59,280
Speaker 1: meet regular people from New York and it's coming to

319
00:18:59,359 --> 00:19:03,520
Speaker 1: America in two America. That's another reason why it's bad.

320
00:19:04,000 --> 00:19:06,920
Speaker 1: Um sort of does this like weird Connecticut Yankee and

321
00:19:07,000 --> 00:19:10,880
Speaker 1: King Arthur's Court kind of thing with with a Keem's

322
00:19:11,480 --> 00:19:14,240
Speaker 1: bastard son. I mean, I'm ruining the plot a little bit,

323
00:19:14,320 --> 00:19:18,520
Speaker 1: but like it's not good. It's just not good. What's

324
00:19:18,760 --> 00:19:21,840
Speaker 1: what's something you think is underrated? Underrated? I mean I

325
00:19:21,880 --> 00:19:24,679
Speaker 1: would say right now, I am really enjoying the current

326
00:19:24,800 --> 00:19:28,760
Speaker 1: season of Queen Sugar. It's it's in season five on

327
00:19:29,600 --> 00:19:33,080
Speaker 1: the own network. Um, really good show that I don't

328
00:19:33,080 --> 00:19:34,680
Speaker 1: think a lot of people know about one because it

329
00:19:34,760 --> 00:19:39,280
Speaker 1: is on this sort of fringe cable channel but created

330
00:19:39,320 --> 00:19:42,560
Speaker 1: an executive produced by Ava Duvernet. Oprah Winfrey is also

331
00:19:42,760 --> 00:19:48,520
Speaker 1: an executive producer. It's just a really really good dramatic series.

332
00:19:48,680 --> 00:19:52,280
Speaker 1: It it follows this generations of this family on the

333
00:19:52,359 --> 00:19:56,800
Speaker 1: sugarcane farm in Louisiana and season five right now they're

334
00:19:56,800 --> 00:20:00,360
Speaker 1: sort of going through the the COVID storyline. But it's

335
00:20:00,480 --> 00:20:04,240
Speaker 1: not like how you've seen the sort of Hollywood squares

336
00:20:04,280 --> 00:20:07,280
Speaker 1: ification of other shows and movies where it comes to

337
00:20:07,880 --> 00:20:12,480
Speaker 1: depicting time during COVID. They do it in a much

338
00:20:12,800 --> 00:20:14,360
Speaker 1: it's it's so good. They do it in a really

339
00:20:15,000 --> 00:20:19,800
Speaker 1: realistic and honest way. It's heartfelt. Um, it's just really

340
00:20:19,960 --> 00:20:21,800
Speaker 1: really good. And I know a lot of people probably

341
00:20:21,800 --> 00:20:24,199
Speaker 1: aren't checking out because I'm not sure what other streaming

342
00:20:24,200 --> 00:20:28,280
Speaker 1: services it might be on, Like it might be on Yeah,

343
00:20:28,320 --> 00:20:30,320
Speaker 1: it's probably on Hulu. So people want to check it

344
00:20:30,359 --> 00:20:33,160
Speaker 1: out from the first season, Uh, certainly do so because

345
00:20:33,160 --> 00:20:36,399
Speaker 1: they do carry over some things from season to season.

346
00:20:36,440 --> 00:20:39,400
Speaker 1: But I say it's underrated because it rarely gets reviewed.

347
00:20:39,600 --> 00:20:43,119
Speaker 1: You certainly don't hear about it and like Emmy nomination

348
00:20:43,280 --> 00:20:45,600
Speaker 1: runs or something like that. But it's a really good

349
00:20:45,680 --> 00:20:48,679
Speaker 1: show that feels like one that if it came out

350
00:20:48,760 --> 00:20:52,360
Speaker 1: on Netflix, it would like blow up absolutely because you're

351
00:20:52,400 --> 00:20:57,520
Speaker 1: captive and people actually related somewhat related to that. Another

352
00:20:57,560 --> 00:21:00,320
Speaker 1: show that was on Netflix that is on and I'm

353
00:21:00,320 --> 00:21:02,920
Speaker 1: sorry that was on Own that is on Netflix now,

354
00:21:03,760 --> 00:21:07,680
Speaker 1: green Leaf, really good show. It's it follows like a

355
00:21:08,080 --> 00:21:10,960
Speaker 1: black megachurch family, so that probably will turn some people

356
00:21:11,000 --> 00:21:15,960
Speaker 1: off just just off of that concept. But how many seasons,

357
00:21:16,040 --> 00:21:20,320
Speaker 1: five seasons? Really great show, really great show, Lynn Whitfield,

358
00:21:20,520 --> 00:21:25,320
Speaker 1: Keith David, It's so good. Yeah, I mean Ship the

359
00:21:25,640 --> 00:21:28,000
Speaker 1: Righteous Gemstones. We always talk about that show on this

360
00:21:28,640 --> 00:21:32,240
Speaker 1: on this podcast. So yeah, if you I think anything,

361
00:21:32,359 --> 00:21:34,800
Speaker 1: if you've been to a church, like I'm always interested

362
00:21:34,840 --> 00:21:39,480
Speaker 1: to see like dramatized church narratives because I've seen it

363
00:21:39,600 --> 00:21:42,280
Speaker 1: from nearly every angle at this point, but like I

364
00:21:42,359 --> 00:21:45,040
Speaker 1: mean in real life, but to see the descripted version

365
00:21:45,119 --> 00:21:48,000
Speaker 1: that is always intrigues me. Hell yeah, and it's good

366
00:21:48,080 --> 00:21:52,200
Speaker 1: without being like super churchy. You know is Keith David,

367
00:21:52,560 --> 00:21:55,200
Speaker 1: what's his character? Like, he's the pastor, He's like the

368
00:21:55,440 --> 00:22:00,400
Speaker 1: pastor green Leaf, He's the list is easier a man

369
00:22:00,480 --> 00:22:02,680
Speaker 1: of honor? Is he kind of us? Yeah? Kind of

370
00:22:02,760 --> 00:22:05,359
Speaker 1: man of honor. Lynn Whitfield plays his wife. So if

371
00:22:05,400 --> 00:22:07,680
Speaker 1: you've seen a thin line between love and hate from

372
00:22:07,680 --> 00:22:11,480
Speaker 1: the nineties, just imagine that turned up to like twenty

373
00:22:12,320 --> 00:22:16,920
Speaker 1: you know, like Lynn is like the the sultry but

374
00:22:17,320 --> 00:22:22,919
Speaker 1: shady matriarch of the family May green Leaf, She's well,

375
00:22:22,960 --> 00:22:25,800
Speaker 1: she's got her secrets. And then Keith David, like the pastor,

376
00:22:25,880 --> 00:22:27,919
Speaker 1: has his secrets. And then there's their children to their

377
00:22:27,960 --> 00:22:30,680
Speaker 1: children have secrets. It's it's really good secret fest. Okay,

378
00:22:30,720 --> 00:22:37,439
Speaker 1: I like yeah Rick foxox Rick Fox, Yeah yeah, Okay,

379
00:22:38,480 --> 00:22:43,520
Speaker 1: always like Rick Fox cameo or appearance. All right, we're

380
00:22:43,520 --> 00:22:46,080
Speaker 1: gonna take a quick break. We'll be right back to

381
00:22:46,200 --> 00:23:01,399
Speaker 1: Talk News and we're back and get ready for a

382
00:23:01,520 --> 00:23:05,240
Speaker 1: blast from the past. Guys, remember that fun period where

383
00:23:05,600 --> 00:23:11,800
Speaker 1: uh Brett Kavanaugh was being uh his confirmation was being

384
00:23:11,960 --> 00:23:16,800
Speaker 1: challenged and just we all went through it for like

385
00:23:16,920 --> 00:23:24,159
Speaker 1: a week, week and a half month. Dr Christine and

386
00:23:24,200 --> 00:23:27,800
Speaker 1: Blaisie Ford's like has been going through it ever since.

387
00:23:29,440 --> 00:23:32,359
Speaker 1: But so one of the things that I think we

388
00:23:32,440 --> 00:23:35,959
Speaker 1: were all suspicious of at the time was that they

389
00:23:36,080 --> 00:23:43,680
Speaker 1: unleashed this FBI investigation into her allegations, and they were

390
00:23:43,760 --> 00:23:46,639
Speaker 1: just like, all good, let's let's move it forward. Nothing

391
00:23:46,680 --> 00:23:49,640
Speaker 1: to see here, And you're like, what, there's like nine

392
00:23:50,160 --> 00:23:52,320
Speaker 1: classmates signed to a letter being like, let's do this

393
00:23:52,400 --> 00:23:56,440
Speaker 1: trash right, like and your FBI, the FB but you

394
00:23:56,680 --> 00:23:58,640
Speaker 1: but y'all are really good at framing people of color

395
00:23:58,720 --> 00:24:01,680
Speaker 1: who just want equital But okay, so let me just

396
00:24:01,800 --> 00:24:04,520
Speaker 1: go down here. So Sheldon white House is a center

397
00:24:04,600 --> 00:24:07,159
Speaker 1: on the Judiciary Committee. He wrote this letter that is

398
00:24:07,320 --> 00:24:13,240
Speaker 1: essentially saying, yo, that fucking investigation was fake. He says fake.

399
00:24:13,359 --> 00:24:16,399
Speaker 1: He says, quote the the investigation quote appears to have

400
00:24:16,480 --> 00:24:21,760
Speaker 1: been a politically constrained and perhaps fake process. In the letter,

401
00:24:22,080 --> 00:24:24,359
Speaker 1: he says quote in this matter, the shutters were closed,

402
00:24:24,400 --> 00:24:26,359
Speaker 1: the bridge drawn up, and there was no point of

403
00:24:26,520 --> 00:24:28,920
Speaker 1: entry by which members of the public or Congress could

404
00:24:28,920 --> 00:24:32,600
Speaker 1: provide information to the FBI. He allows that the agency

405
00:24:32,680 --> 00:24:36,160
Speaker 1: refused to hear testimony from witnesses, ignored members who inquired

406
00:24:36,200 --> 00:24:39,080
Speaker 1: on behalf of witnesses, and criticize the agency's use of

407
00:24:39,160 --> 00:24:43,040
Speaker 1: quote a tipline that was meant to accept allegations. This

408
00:24:43,200 --> 00:24:45,680
Speaker 1: tip line quote appears to have operated more like a

409
00:24:45,760 --> 00:24:48,680
Speaker 1: garbage shoot, with everything that came down the shoot consigned

410
00:24:48,760 --> 00:24:52,719
Speaker 1: without review to the figurative dumpster. So he will now

411
00:24:52,840 --> 00:24:58,440
Speaker 1: be asking a g Merrick Garland, who famously got his

412
00:24:58,720 --> 00:25:01,919
Speaker 1: Supreme Court robe to is tossed in the fucking trash,

413
00:25:02,720 --> 00:25:06,800
Speaker 1: to look into how this unfolded. But yeah, I mean,

414
00:25:07,480 --> 00:25:11,000
Speaker 1: the whole problem, the whole confirmation hearing was just fucked up,

415
00:25:11,040 --> 00:25:14,119
Speaker 1: gross and traumatic and just nobody wanted anything to do

416
00:25:14,200 --> 00:25:16,399
Speaker 1: with it. Diane Feinstein was like the beginnings of us

417
00:25:16,440 --> 00:25:21,320
Speaker 1: seeing like what is she doing up there? Knows exactly

418
00:25:21,400 --> 00:25:25,920
Speaker 1: what she's doing. Yeah, But to hear this now, it's like, well, okay, yeah,

419
00:25:26,440 --> 00:25:27,840
Speaker 1: I think this is gonna be like a thing that

420
00:25:27,960 --> 00:25:30,119
Speaker 1: will always every month we're getting here, Like remember that

421
00:25:30,200 --> 00:25:33,280
Speaker 1: thing from four from the four years of bullshit? Uh,

422
00:25:33,640 --> 00:25:36,200
Speaker 1: that was also trash. It's gonna be more stuff that

423
00:25:36,320 --> 00:25:38,320
Speaker 1: has come out from the past administration that were like

424
00:25:38,400 --> 00:25:40,960
Speaker 1: remember when they said that, yeah that didn't happen, or

425
00:25:41,040 --> 00:25:44,080
Speaker 1: no that's fake, or you know, actually we didn't have

426
00:25:44,160 --> 00:25:47,280
Speaker 1: a plan. It was all blank paper in those binders,

427
00:25:47,480 --> 00:25:53,560
Speaker 1: you know, go to Staples, get a bunch of sheafs

428
00:25:53,880 --> 00:25:58,920
Speaker 1: of blank, kind of crumple up the top pages. So

429
00:26:00,920 --> 00:26:04,120
Speaker 1: um that I feel like they might have gotten away

430
00:26:04,200 --> 00:26:08,000
Speaker 1: with this because there was still the Mueller investigation going on,

431
00:26:08,160 --> 00:26:12,639
Speaker 1: and people like in the mainstream press still wanted to

432
00:26:13,440 --> 00:26:16,840
Speaker 1: like believe that the FBI was there, buddy, And so

433
00:26:17,280 --> 00:26:19,600
Speaker 1: I don't know like that, I think that people were

434
00:26:19,720 --> 00:26:22,359
Speaker 1: just like kind of put in a weird position. They

435
00:26:22,400 --> 00:26:26,240
Speaker 1: were still counting on the Mueller investigation and the FBI

436
00:26:26,400 --> 00:26:33,000
Speaker 1: to be like the resistance, right, that was probably definitely misplaced.

437
00:26:33,320 --> 00:26:35,080
Speaker 1: The other things with kav and I was remembered all

438
00:26:35,119 --> 00:26:39,320
Speaker 1: those fucking Washington Senators baseball tickets and ship and they

439
00:26:39,359 --> 00:26:42,880
Speaker 1: were like we paid for those, and he's like, oh, somebody,

440
00:26:43,240 --> 00:26:46,720
Speaker 1: like what, FBI, go go on now fucking dig up

441
00:26:46,760 --> 00:26:49,399
Speaker 1: the receipts. And also even like people were, you know,

442
00:26:49,560 --> 00:26:52,560
Speaker 1: casting doubts over even when Justice Kennedy announced his retirement,

443
00:26:52,920 --> 00:26:55,480
Speaker 1: like what was going on there? This seemed like, you know,

444
00:26:55,640 --> 00:26:57,960
Speaker 1: there's just a lot of the I mean, I remember

445
00:26:58,000 --> 00:27:01,520
Speaker 1: the second my phone it up to Justice announced his retirement.

446
00:27:01,600 --> 00:27:03,960
Speaker 1: I was in Denmark and I was just like my

447
00:27:04,200 --> 00:27:10,760
Speaker 1: day is I don't know what to do. Yeah, what

448
00:27:10,880 --> 00:27:13,639
Speaker 1: are things looking like in terms of the Supreme Court

449
00:27:14,080 --> 00:27:18,720
Speaker 1: at the moment, Like, aren't there's justices who we're looking

450
00:27:18,840 --> 00:27:22,640
Speaker 1: to uh step down fairly soon, right because of their

451
00:27:22,680 --> 00:27:25,120
Speaker 1: old age and we need to get some new Yeah,

452
00:27:25,600 --> 00:27:29,720
Speaker 1: new blood on the court next to step down? Is

453
00:27:29,760 --> 00:27:37,320
Speaker 1: it Thomas? Well, Thomas would be ideal, but I doubt that. Yeah,

454
00:27:37,400 --> 00:27:41,440
Speaker 1: no single conservative that would do it. Although, like word

455
00:27:41,640 --> 00:27:45,680
Speaker 1: was Thomas was thinking about stepping down before, but um, yeah,

456
00:27:45,720 --> 00:27:48,600
Speaker 1: I don't think it's the least he could do, right,

457
00:27:48,960 --> 00:27:52,360
Speaker 1: like literally literally the least does it? Fun off from

458
00:27:52,359 --> 00:27:56,000
Speaker 1: the Supreme Court? Man, All right, let's talk about the

459
00:27:56,040 --> 00:28:01,480
Speaker 1: Derrick Chovin trial. His attorneys one, a change of venue

460
00:28:02,240 --> 00:28:07,240
Speaker 1: since the city settled with George Floyd's family. Yeah, they're

461
00:28:07,280 --> 00:28:09,879
Speaker 1: they're saying, what that this is like a sign that

462
00:28:10,960 --> 00:28:13,760
Speaker 1: the city is already like made up its mind. I mean,

463
00:28:13,920 --> 00:28:15,840
Speaker 1: Essense's like, well, how can I get a fair trial

464
00:28:15,960 --> 00:28:18,800
Speaker 1: when the city council has already blah blah blah, Like

465
00:28:19,080 --> 00:28:22,199
Speaker 1: because I think the city council was able to acknowledge

466
00:28:22,240 --> 00:28:26,080
Speaker 1: how horrific that video was and was like, yeah, that's

467
00:28:26,520 --> 00:28:28,760
Speaker 1: sorry that the police of this city took your family

468
00:28:28,800 --> 00:28:32,480
Speaker 1: member's life. Legally, that will be sorted in this trial.

469
00:28:33,160 --> 00:28:35,680
Speaker 1: But yeah, he thinks it will. His lawyers think it's

470
00:28:35,720 --> 00:28:37,360
Speaker 1: just gonna it's just gonna be harder for my client

471
00:28:37,440 --> 00:28:39,480
Speaker 1: to get away with murder. Guys, if he's in the

472
00:28:39,520 --> 00:28:42,560
Speaker 1: same city. What does the change of venue even really solved.

473
00:28:42,600 --> 00:28:45,680
Speaker 1: I mean, the case will still go on, right because

474
00:28:45,720 --> 00:28:48,280
Speaker 1: it's in the city that had a settlement there for

475
00:28:48,600 --> 00:28:51,400
Speaker 1: like the news it's it's really it's kind of an

476
00:28:51,440 --> 00:28:56,080
Speaker 1: odd argument um and you know, his like the prosecution

477
00:28:56,600 --> 00:28:59,600
Speaker 1: was like, okay, like I kind of get what you're saying,

478
00:28:59,680 --> 00:29:02,120
Speaker 1: but that's really not a reason to stop everything because

479
00:29:02,120 --> 00:29:04,800
Speaker 1: they wanted to pause proceedings and a venue change. And

480
00:29:04,920 --> 00:29:07,640
Speaker 1: when the prosecutor said Schliker, he said, quote, all I

481
00:29:07,640 --> 00:29:09,280
Speaker 1: can say of the court is there are some things

482
00:29:09,480 --> 00:29:12,320
Speaker 1: the State of Minnesota and this prosecution team can control,

483
00:29:12,600 --> 00:29:14,520
Speaker 1: and there are some things that cannot control. We cannot

484
00:29:14,560 --> 00:29:17,200
Speaker 1: control the civil aspect of the case. We cannot we

485
00:29:17,320 --> 00:29:20,200
Speaker 1: cannot and do not control the Minneapolis City Council, and

486
00:29:20,280 --> 00:29:22,640
Speaker 1: we certainly cannot and do not control the news cycle.

487
00:29:23,160 --> 00:29:25,080
Speaker 1: And so the judge was like, Okay, well, I mean,

488
00:29:25,160 --> 00:29:28,600
Speaker 1: that's your your point about like the settlement, maybe messing

489
00:29:28,640 --> 00:29:31,160
Speaker 1: things up is legitimate. But they kept on with the

490
00:29:31,320 --> 00:29:34,840
Speaker 1: jury selection, and he said, will consider the venue change.

491
00:29:34,880 --> 00:29:39,360
Speaker 1: But if they change venues, like, would that change the jury?

492
00:29:39,560 --> 00:29:41,960
Speaker 1: Would they have to them like select a new jury

493
00:29:42,200 --> 00:29:46,360
Speaker 1: from the population of wherever they change it. I imagine

494
00:29:46,400 --> 00:29:48,400
Speaker 1: if it's being impaneled in the county, you know what

495
00:29:48,480 --> 00:29:50,040
Speaker 1: I mean, like that they would want it in a

496
00:29:50,160 --> 00:29:53,400
Speaker 1: different county there for different people, you know, because that's

497
00:29:53,400 --> 00:29:55,400
Speaker 1: the whole idea is like, well, in that area where

498
00:29:55,440 --> 00:29:57,840
Speaker 1: the murder happened, people are too aware of the case

499
00:29:58,440 --> 00:30:01,720
Speaker 1: to be so you want people who are ignorant. It's

500
00:30:01,760 --> 00:30:03,600
Speaker 1: just so it's just so fucked up. And like even

501
00:30:03,640 --> 00:30:06,840
Speaker 1: when we were talking about the surveys potential jurors had

502
00:30:06,880 --> 00:30:08,479
Speaker 1: to fill out, You're like, this is here, what here

503
00:30:08,560 --> 00:30:11,480
Speaker 1: this ship goes? I mean, it's still all feels very

504
00:30:11,760 --> 00:30:15,400
Speaker 1: like suspect in a way. I mean, like you said,

505
00:30:15,400 --> 00:30:17,440
Speaker 1: if they're changing the venue to try to, you know,

506
00:30:17,600 --> 00:30:20,719
Speaker 1: appeal to a populace that may not know that much

507
00:30:20,720 --> 00:30:23,360
Speaker 1: about the case, it almost feels like they know what

508
00:30:23,480 --> 00:30:26,160
Speaker 1: the outcome will be, not just the outcome of the case,

509
00:30:26,280 --> 00:30:29,240
Speaker 1: but that there will be subsequent protests, and so maybe

510
00:30:29,760 --> 00:30:31,440
Speaker 1: if they move it out of the city, then people

511
00:30:31,520 --> 00:30:34,840
Speaker 1: won't protest in the city, they'll protest somewhere that's not

512
00:30:34,920 --> 00:30:38,640
Speaker 1: gonna happen. So that's not gonna happen every it'll be everywhere. Yeah,

513
00:30:38,920 --> 00:30:42,040
Speaker 1: it all. It all feels just I don't know. It's

514
00:30:42,040 --> 00:30:45,040
Speaker 1: a distraction. I think that's what it is. So we'll

515
00:30:45,080 --> 00:30:47,920
Speaker 1: see sort of what happens. But it doesn't feel right.

516
00:30:48,000 --> 00:30:50,920
Speaker 1: It doesn't feel right. No, nothing ever feels right when

517
00:30:51,640 --> 00:30:55,200
Speaker 1: I mean, especially when as it relates to over policing

518
00:30:55,280 --> 00:30:58,040
Speaker 1: and the you know, murder murders of unarmed black people

519
00:30:58,080 --> 00:31:01,240
Speaker 1: by police. But when you start looking at something like

520
00:31:01,320 --> 00:31:03,920
Speaker 1: this that was just so abundantly clear, like you don't

521
00:31:05,000 --> 00:31:07,440
Speaker 1: that's what makes it so offensive, Like it was unfortunate

522
00:31:07,760 --> 00:31:10,640
Speaker 1: that that graphic video was the thing that a large

523
00:31:10,760 --> 00:31:12,520
Speaker 1: number of people in the country had to see to

524
00:31:12,600 --> 00:31:16,080
Speaker 1: fucking figure ship out suddenly. Um, And that's still with

525
00:31:16,320 --> 00:31:18,600
Speaker 1: that knowing all of that, this idea that's like, well,

526
00:31:18,640 --> 00:31:20,480
Speaker 1: you know, we don't want people that are are gonna

527
00:31:20,800 --> 00:31:23,680
Speaker 1: you know, understand what justice is as it relates to policing,

528
00:31:23,680 --> 00:31:25,600
Speaker 1: because that's like a dimension of the case. We're trying

529
00:31:25,640 --> 00:31:27,960
Speaker 1: to remove it just be like yo did his is

530
00:31:28,080 --> 00:31:30,680
Speaker 1: his knee evil? Like I don't know what the argument

531
00:31:30,760 --> 00:31:32,360
Speaker 1: is going to be. And that's what's so fucked up

532
00:31:32,440 --> 00:31:34,560
Speaker 1: is that to everybody, it's so clear, But they're all

533
00:31:34,600 --> 00:31:37,120
Speaker 1: these ways to try and you know, skirt justice. And

534
00:31:37,560 --> 00:31:41,440
Speaker 1: that's the theme of this nation at the moment, Like

535
00:31:41,680 --> 00:31:45,000
Speaker 1: who is who doesn't already have their mind made up

536
00:31:45,120 --> 00:31:47,280
Speaker 1: on this? If you don't already have your mind made

537
00:31:47,360 --> 00:31:51,160
Speaker 1: up from watching the video which everybody is seeing, then

538
00:31:51,400 --> 00:31:58,040
Speaker 1: you are by definition biased against justice here, Like it's

539
00:31:58,080 --> 00:32:02,200
Speaker 1: impossible for somebody to watch that, watch somebody commit murder

540
00:32:02,720 --> 00:32:07,600
Speaker 1: on video like from beginning to end and not feel outrage.

541
00:32:07,840 --> 00:32:09,040
Speaker 1: So I mean, you're on or how can we have

542
00:32:09,080 --> 00:32:11,680
Speaker 1: a fair trial if a majority, if not ten out

543
00:32:11,720 --> 00:32:16,080
Speaker 1: of the twelve jurors are sympathetic towards racially motivated police violence.

544
00:32:16,520 --> 00:32:18,880
Speaker 1: I mean, honestly, your honor, that we can't this, This

545
00:32:19,040 --> 00:32:20,480
Speaker 1: is not going to be fair. We need people who

546
00:32:20,520 --> 00:32:22,680
Speaker 1: are on this firmly on the side of white supremacy

547
00:32:22,880 --> 00:32:25,840
Speaker 1: to adjudicate this case. Therefore, we can let it rock

548
00:32:26,320 --> 00:32:29,800
Speaker 1: you know for centuries. I don't know it worries me

549
00:32:29,960 --> 00:32:34,480
Speaker 1: that the prosecutor is even giving this ground, is even

550
00:32:34,600 --> 00:32:37,560
Speaker 1: seeding the well, I can't control the city council, Like,

551
00:32:38,920 --> 00:32:42,400
Speaker 1: I don't know. It feels like he should just be saying, yeah,

552
00:32:42,440 --> 00:32:45,680
Speaker 1: well the city council is doing that because it's obvious

553
00:32:45,920 --> 00:32:49,440
Speaker 1: and an open and shut case and like it's impossible

554
00:32:49,560 --> 00:32:52,320
Speaker 1: not to come to this conclusion. But that's turn up

555
00:32:52,400 --> 00:32:58,040
Speaker 1: court Jack where guy, everybody saw that video. It's like, well,

556
00:32:58,040 --> 00:33:00,640
Speaker 1: hold on, this isn't the time to do that. Yeah,

557
00:33:00,680 --> 00:33:04,560
Speaker 1: I'd be a bad lawyer. Let's talk about Tugger Carlson. Uh,

558
00:33:06,800 --> 00:33:12,520
Speaker 1: white supremacists recently outed. Yeahl me shocked. Um there anyone

559
00:33:12,560 --> 00:33:15,640
Speaker 1: who has never seen anything he said his whole career.

560
00:33:16,520 --> 00:33:18,400
Speaker 1: But you know, he's this On one he was bashing

561
00:33:18,440 --> 00:33:21,040
Speaker 1: women in the military and then got verbally stomped out

562
00:33:21,080 --> 00:33:23,400
Speaker 1: by the military and Ted Cruz like, don't treat him

563
00:33:23,440 --> 00:33:26,800
Speaker 1: like that, Like it's just another sad back and forth. Um,

564
00:33:26,920 --> 00:33:31,240
Speaker 1: But this time he's just really he's pretending that he's

565
00:33:31,280 --> 00:33:34,840
Speaker 1: now horny as fuck for the web video. Um, and

566
00:33:35,280 --> 00:33:37,680
Speaker 1: he's just he's just going full throttle on this one now.

567
00:33:38,040 --> 00:33:40,080
Speaker 1: And I'm not sure why this is, Like you know,

568
00:33:40,440 --> 00:33:43,800
Speaker 1: the cancel culture thing is back up again, probably because

569
00:33:43,960 --> 00:33:46,560
Speaker 1: you know that it's it's hard to poke holes, and

570
00:33:46,800 --> 00:33:49,120
Speaker 1: maybe some of the policy things Biden's doing, considering like

571
00:33:49,160 --> 00:33:52,200
Speaker 1: how it's pulling even with Republicans, like the like the

572
00:33:52,720 --> 00:33:55,400
Speaker 1: relief measures and things like that. Or maybe it's because

573
00:33:55,640 --> 00:33:57,720
Speaker 1: you don't want to talk about Trump's case in Georgia

574
00:33:58,160 --> 00:34:01,320
Speaker 1: kind of getting more severe by the day, or Trump's

575
00:34:01,640 --> 00:34:04,720
Speaker 1: you know, CFOs acts, daughter in laws apparently cooperating with

576
00:34:04,840 --> 00:34:08,080
Speaker 1: prosecutors in New York. But there's many things I don't know.

577
00:34:08,239 --> 00:34:12,200
Speaker 1: But the whole thing here is rather than pointing to like,

578
00:34:12,719 --> 00:34:16,600
Speaker 1: you know, racism and greed from a runaway capitalist system

579
00:34:17,040 --> 00:34:19,200
Speaker 1: and what that's done to the country, they've chosen to

580
00:34:19,280 --> 00:34:22,480
Speaker 1: point to Cardi b and Megan the Stallion as indicators

581
00:34:22,520 --> 00:34:27,360
Speaker 1: of societal collapse, y'all. And who better than Candice Owens

582
00:34:27,560 --> 00:34:29,640
Speaker 1: to come on because that's how her crosses. See. He

583
00:34:29,680 --> 00:34:31,680
Speaker 1: wise up. He's like, see, I can't have white people

584
00:34:31,840 --> 00:34:34,960
Speaker 1: attacking black women, but I could have my black woman

585
00:34:35,280 --> 00:34:39,120
Speaker 1: attack uh, these other black women to avoid any accusations

586
00:34:39,200 --> 00:34:42,760
Speaker 1: of impropriety. So he had her on and she starts

587
00:34:42,800 --> 00:34:46,560
Speaker 1: off her whole sermon with a just a cancel culture

588
00:34:46,640 --> 00:34:50,360
Speaker 1: in Memoriam and the host of Candice. She joins, us,

589
00:34:50,400 --> 00:34:52,359
Speaker 1: I can so, thanks so much for coming on. It's

590
00:34:52,520 --> 00:34:56,480
Speaker 1: it's hard not to conclude their intentionally trying to degrade

591
00:34:56,520 --> 00:35:03,280
Speaker 1: our culture and hurt our children. That's a strong set up. Okay,

592
00:35:04,280 --> 00:35:07,719
Speaker 1: I let please go on, Candice, Professor Owens rather, I

593
00:35:07,800 --> 00:35:11,320
Speaker 1: mean absolutely, Tucker, I mean Dr Seuss gone. Mr Potato

594
00:35:11,440 --> 00:35:14,600
Speaker 1: had problematic, not enough genders available. We've seen going through

595
00:35:14,600 --> 00:35:17,880
Speaker 1: the supermarket as a traumatizing experience. We lost on Jemima

596
00:35:18,000 --> 00:35:20,080
Speaker 1: last year, we lost Lando Lakes butter last year, we

597
00:35:20,160 --> 00:35:22,720
Speaker 1: lost Uncle Ben and his Rice last year. Because everything

598
00:35:22,800 --> 00:35:25,759
Speaker 1: is so traumatizing for children to look at. But this,

599
00:35:26,080 --> 00:35:28,960
Speaker 1: this spectacle, virtually what we were looking at last night

600
00:35:29,120 --> 00:35:32,200
Speaker 1: was a lesbian sex scene being simulated on television. And

601
00:35:32,320 --> 00:35:36,759
Speaker 1: this is considered feminist. So that's a good momentum. I mean,

602
00:35:37,000 --> 00:35:44,840
Speaker 1: pour one out for all the racist caricatures, y'all. So meanwhile,

603
00:35:45,280 --> 00:35:48,120
Speaker 1: when the thing is as she's talking, they're looping the

604
00:35:48,320 --> 00:35:51,319
Speaker 1: same thing over and over again of them, like when

605
00:35:51,320 --> 00:35:53,360
Speaker 1: it looked like they were scissoring and stuff. That's like

606
00:35:53,440 --> 00:35:55,120
Speaker 1: the clip they have just on loop on the side

607
00:35:55,160 --> 00:35:57,040
Speaker 1: where it's like, is it that it's that offensive that

608
00:35:57,120 --> 00:36:00,640
Speaker 1: you have it on loop? M hmm, okay, potatoes don't

609
00:36:00,640 --> 00:36:03,719
Speaker 1: even have a gender. What is she talking about? I mean,

610
00:36:03,719 --> 00:36:05,680
Speaker 1: I know the whole Mr. Potato Head toy, but like

611
00:36:06,520 --> 00:36:09,839
Speaker 1: there's a lot, there's a lot of heavy lifting. Try

612
00:36:09,880 --> 00:36:12,839
Speaker 1: to link those things together. It just sounds hard when

613
00:36:12,880 --> 00:36:15,040
Speaker 1: you said, like, there's no way you can say we

614
00:36:15,360 --> 00:36:18,400
Speaker 1: we lost Aunt Jemima last year. You know, we lost

615
00:36:18,560 --> 00:36:21,040
Speaker 1: Uncle Ben last year. What if that sounds like a

616
00:36:21,320 --> 00:36:23,960
Speaker 1: Chappelle show sketch, Like a line from a Chapelle's show

617
00:36:24,040 --> 00:36:28,239
Speaker 1: sketch that would, yeah, exactly like racist caricature, you know,

618
00:36:28,400 --> 00:36:32,719
Speaker 1: fucking graveyard like Uncle Ben. I thought you'd be your

619
00:36:32,760 --> 00:36:35,000
Speaker 1: way sooner. It's like, no, there's not some bullshit down there.

620
00:36:35,400 --> 00:36:37,960
Speaker 1: Um So then Candice Owens, I just want to go

621
00:36:38,000 --> 00:36:40,560
Speaker 1: on this other thing about how this is pointing to,

622
00:36:41,440 --> 00:36:44,880
Speaker 1: you know, the end of America for academics anymore. In school, right,

623
00:36:45,040 --> 00:36:47,640
Speaker 1: forget about mathematics and science. You can trust the science

624
00:36:47,640 --> 00:36:50,040
Speaker 1: and trust Dr Fauci, But you have these kids learning

625
00:36:50,080 --> 00:36:52,880
Speaker 1: about critical race theory. They're learning that they should aspire

626
00:36:52,920 --> 00:36:55,680
Speaker 1: to people like Cardi b that you you see that fundamentally,

627
00:36:55,719 --> 00:36:58,560
Speaker 1: we are seeing the destruction of American values, American principles,

628
00:36:58,800 --> 00:37:01,400
Speaker 1: and it's terrifying. I think parents should be terrified that

629
00:37:01,520 --> 00:37:03,720
Speaker 1: this is the direction that our society is headed towards.

630
00:37:03,800 --> 00:37:06,440
Speaker 1: And again, we are weakening America. That's that's really what

631
00:37:06,440 --> 00:37:08,440
Speaker 1: we should be talking about. This is a weakening of

632
00:37:08,520 --> 00:37:11,160
Speaker 1: American society. We are setting the stage. It feels like

633
00:37:11,480 --> 00:37:14,239
Speaker 1: we are looking at corrosion, like we are about to

634
00:37:14,320 --> 00:37:16,359
Speaker 1: see the end of an empire. I mean, that's true,

635
00:37:16,719 --> 00:37:18,680
Speaker 1: that's true, but not for any of the reasons. You

636
00:37:18,840 --> 00:37:21,759
Speaker 1: just has nothing to do with these two queens doing

637
00:37:21,800 --> 00:37:24,440
Speaker 1: their fucking thing on stage and just putting on a

638
00:37:24,560 --> 00:37:28,360
Speaker 1: great show. It's not that's not what the corrosion is.

639
00:37:28,719 --> 00:37:31,320
Speaker 1: You are the corrosion. The show you are on is

640
00:37:31,400 --> 00:37:35,720
Speaker 1: the fucking corrosion degreed that this country just accepts without

641
00:37:35,800 --> 00:37:38,960
Speaker 1: really questioning and wanting better outcomes for each other in

642
00:37:39,000 --> 00:37:42,800
Speaker 1: our communities. That's the fall of the empire, not these people.

643
00:37:42,920 --> 00:37:47,480
Speaker 1: But you know, but do go on, professor. Yeah, It's

644
00:37:47,520 --> 00:37:51,719
Speaker 1: also just interesting that this starts from a assumption that

645
00:37:52,520 --> 00:37:56,040
Speaker 1: we are a mono culture where everybody is watching the

646
00:37:56,520 --> 00:37:59,279
Speaker 1: same things, and not like that they went and got

647
00:37:59,400 --> 00:38:02,120
Speaker 1: that too, who put it in front of their viewers

648
00:38:02,200 --> 00:38:07,000
Speaker 1: who they know did not watch the wop the like

649
00:38:07,320 --> 00:38:12,799
Speaker 1: performance from the they did. They're all lying the same ship.

650
00:38:13,160 --> 00:38:16,480
Speaker 1: There was some state legislator in Texas or something who

651
00:38:16,600 --> 00:38:19,640
Speaker 1: voted on an anti trans bill for like kids to compete,

652
00:38:19,680 --> 00:38:23,640
Speaker 1: and then they caught him looking at transgender porn computer.

653
00:38:24,360 --> 00:38:26,480
Speaker 1: There's a there's a duplicit, it said. But that's just

654
00:38:26,560 --> 00:38:28,359
Speaker 1: what all this two faced shit is, you know, all

655
00:38:28,400 --> 00:38:31,040
Speaker 1: the time. It's just disgusting when it's like they you know,

656
00:38:31,239 --> 00:38:34,120
Speaker 1: that's flimsy as fuck, you know, if you're smart enough.

657
00:38:34,320 --> 00:38:36,560
Speaker 1: But but this is the pattern you're caught up in

658
00:38:36,640 --> 00:38:42,359
Speaker 1: with your audience of just being like parents should be alarmed, right, yeah,

659
00:38:42,600 --> 00:38:46,040
Speaker 1: and when has that line worked? Like on the news last?

660
00:38:46,360 --> 00:38:51,799
Speaker 1: Parents need to be prepared for this what's happening now?

661
00:38:52,880 --> 00:38:56,319
Speaker 1: I mean only on Fox, probably only on some Fox

662
00:38:56,400 --> 00:38:59,160
Speaker 1: show or Info Wars or some ship like that. Part

663
00:38:59,200 --> 00:39:01,480
Speaker 1: of me hopes they keep going down this path because

664
00:39:01,520 --> 00:39:04,080
Speaker 1: I don't think people like I think people are smart

665
00:39:04,200 --> 00:39:07,440
Speaker 1: enough to realize that this is bullshit. Um, and like,

666
00:39:07,600 --> 00:39:11,480
Speaker 1: at least when it comes to voting, will not vote

667
00:39:11,640 --> 00:39:17,200
Speaker 1: for like anti canceling Dr SEUSA agenda. Yeah, hey, just

668
00:39:17,320 --> 00:39:19,120
Speaker 1: wait till those mid terms. I'm sure we'll see some

669
00:39:19,239 --> 00:39:21,840
Speaker 1: weird ads Like I went to bat for Aunt Jemima,

670
00:39:21,960 --> 00:39:24,680
Speaker 1: I went to bat for Uncle Ben. I went to

671
00:39:24,800 --> 00:39:29,759
Speaker 1: fucking bat Dr Susane. What they're like, yo, the unemployment

672
00:39:29,880 --> 00:39:32,839
Speaker 1: rate is out of fucking control of your district. Did

673
00:39:32,920 --> 00:39:37,200
Speaker 1: you guys watch the John Oliver thing on on Tucker

674
00:39:37,280 --> 00:39:41,160
Speaker 1: Carlson being a white supremacist. Yeah, I saw that. It

675
00:39:41,320 --> 00:39:43,759
Speaker 1: was like it was good. They definitely like dug up

676
00:39:43,840 --> 00:39:47,399
Speaker 1: some old clips that I had not seen before. Um

677
00:39:47,560 --> 00:39:49,279
Speaker 1: one thing that I was waiting for them to bring

678
00:39:49,440 --> 00:39:52,040
Speaker 1: up that we we had covered before, but just on

679
00:39:52,160 --> 00:39:54,640
Speaker 1: this show, on this on this show. It was not

680
00:39:54,800 --> 00:39:59,160
Speaker 1: on HBO, but you know, yeah, somebody needs to recommend

681
00:39:59,239 --> 00:40:04,440
Speaker 1: that John Alli or listen to the Daily Zeitgeist we

682
00:40:04,600 --> 00:40:07,560
Speaker 1: covered in Nane Daniel Bryant, look him up, hook him

683
00:40:07,640 --> 00:40:11,359
Speaker 1: up with uh now. But this the story about Blake Neff,

684
00:40:11,400 --> 00:40:14,600
Speaker 1: who was his head writer, I think is just I mean,

685
00:40:14,640 --> 00:40:17,279
Speaker 1: they do a good enough job of just showing like

686
00:40:18,000 --> 00:40:21,800
Speaker 1: how he will say something and then it will trickle

687
00:40:21,880 --> 00:40:24,880
Speaker 1: down to like openly white supremacist groups and like David

688
00:40:24,960 --> 00:40:29,640
Speaker 1: Duke will just David Duke's podcast is just recaps of

689
00:40:29,719 --> 00:40:32,880
Speaker 1: Tucker Carlson and talking about like how good Tucker Carlson

690
00:40:33,040 --> 00:40:39,680
Speaker 1: is at putting their hateful beliefs into non offensive language

691
00:40:39,760 --> 00:40:45,840
Speaker 1: or language racialis, yeah, exactly, but this I don't know that.

692
00:40:46,160 --> 00:40:49,400
Speaker 1: So this they found that his head writer of the

693
00:40:49,480 --> 00:40:52,640
Speaker 1: past four and five years or four to five years,

694
00:40:53,360 --> 00:40:57,120
Speaker 1: had like they just found him posting anonymously on this

695
00:40:57,400 --> 00:41:01,759
Speaker 1: racist forum, and it's just I don't know, it's like

696
00:41:02,000 --> 00:41:05,879
Speaker 1: the most the smoking ist gun like I've ever seen

697
00:41:05,960 --> 00:41:10,120
Speaker 1: where this person was posting things that you would then

698
00:41:10,280 --> 00:41:12,920
Speaker 1: see in the Tucker Carlson show, Like there was bleed

699
00:41:13,040 --> 00:41:15,560
Speaker 1: between like the things he was posting, but he was

700
00:41:15,600 --> 00:41:18,800
Speaker 1: posting it in threads that had you know, just like

701
00:41:19,040 --> 00:41:23,520
Speaker 1: straight up racist like wild ship like written in the

702
00:41:23,640 --> 00:41:28,440
Speaker 1: title of the thread. Uh. CNN outed the author as

703
00:41:28,560 --> 00:41:31,320
Speaker 1: they were like, hey, this you to Fox News and

704
00:41:31,320 --> 00:41:35,560
Speaker 1: asked him for his comment on a Thursday night, and uh,

705
00:41:35,760 --> 00:41:39,759
Speaker 1: Fox News announced his resignation Friday morning. So like they

706
00:41:40,040 --> 00:41:44,279
Speaker 1: know what they're doing. Yeah, they know exactly what they're doing.

707
00:41:44,440 --> 00:41:47,400
Speaker 1: They know that they got caught. And he also like

708
00:41:47,840 --> 00:41:54,200
Speaker 1: basically engineered harassment campaigns against women who he was friends

709
00:41:54,280 --> 00:41:58,120
Speaker 1: with on Facebook, who he was mad at for writing

710
00:41:58,160 --> 00:42:01,680
Speaker 1: about their love lives, and one for freezing her eggs,

711
00:42:02,440 --> 00:42:09,160
Speaker 1: just committing the sin of, you know, exercising reproductive autonomy. Uh,

712
00:42:10,000 --> 00:42:14,040
Speaker 1: and yeah, I don't know. It's just it's yet another

713
00:42:14,120 --> 00:42:17,640
Speaker 1: example of like this dude's a racist. The people who

714
00:42:17,760 --> 00:42:20,879
Speaker 1: write what he says on his like the the guy

715
00:42:20,960 --> 00:42:25,000
Speaker 1: Blake nep was like, uh, interviewed for Dartmouth, shout out

716
00:42:25,040 --> 00:42:29,120
Speaker 1: to Dartmouth, great, great alumni, you've you've produced there, But

717
00:42:29,239 --> 00:42:33,760
Speaker 1: in the Dartmouth Alumni Review, Uh, he was like, anything

718
00:42:33,840 --> 00:42:38,279
Speaker 1: that Tucker reads off of the off the teleprompter came

719
00:42:38,360 --> 00:42:42,320
Speaker 1: from a first draft that I wrote. And that's this

720
00:42:42,520 --> 00:42:47,480
Speaker 1: dude is a straight up avowed white supremacist, racist misogynists.

721
00:42:47,920 --> 00:42:50,920
Speaker 1: That's just so even wild about Like the the news

722
00:42:51,040 --> 00:42:54,200
Speaker 1: of like the headlines whe they're like John Oliver like

723
00:42:54,400 --> 00:42:58,440
Speaker 1: out Tucker Carlson as white supremacists, and it's and I

724
00:42:58,760 --> 00:43:01,279
Speaker 1: and I get that, like a function of that is

725
00:43:01,320 --> 00:43:04,200
Speaker 1: great because it's a very easy to follow main story

726
00:43:04,360 --> 00:43:07,719
Speaker 1: that inspires critical thought and analysis, and it does put

727
00:43:07,760 --> 00:43:10,040
Speaker 1: it out there for people. What scares me is that,

728
00:43:10,200 --> 00:43:14,320
Speaker 1: like many people before this have always been like, this

729
00:43:14,600 --> 00:43:17,640
Speaker 1: is so fucked up and bad. Yet we're still at

730
00:43:17,680 --> 00:43:20,640
Speaker 1: that point where you can look a white supremacist Nazi

731
00:43:20,880 --> 00:43:24,160
Speaker 1: in their eye on the TV screen, but network still

732
00:43:24,239 --> 00:43:26,719
Speaker 1: can't get shipped to move. There's still no there's still

733
00:43:26,760 --> 00:43:28,400
Speaker 1: no way to figure this out. And I think the

734
00:43:28,480 --> 00:43:31,600
Speaker 1: closest thing has been this campaign to de fox your

735
00:43:31,680 --> 00:43:36,000
Speaker 1: cable um and trying to pressure the cable uh networks

736
00:43:36,120 --> 00:43:40,239
Speaker 1: or the cable providers to not you know, subsidize because

737
00:43:40,239 --> 00:43:42,080
Speaker 1: we all pay like a Fox News tax essentially if

738
00:43:42,080 --> 00:43:45,759
Speaker 1: you subscribed to any cable, not more than that. This

739
00:43:45,920 --> 00:43:50,680
Speaker 1: guy nef was also he was also supporting like war

740
00:43:50,840 --> 00:43:53,880
Speaker 1: game exercises at the Marine Corps War College, So he's

741
00:43:54,040 --> 00:43:59,919
Speaker 1: also with these crazy white supremacist views influencing future miller

742
00:44:00,080 --> 00:44:03,640
Speaker 1: terry members your war gaming exercises. He had been a

743
00:44:03,760 --> 00:44:09,800
Speaker 1: war gaming subject matter expert since for the college and

744
00:44:09,880 --> 00:44:11,800
Speaker 1: it was only after all this came out and he

745
00:44:12,120 --> 00:44:15,279
Speaker 1: you know, ended up leaving Tucker Carlson Show that the

746
00:44:15,320 --> 00:44:17,600
Speaker 1: Marines were like, you know what, we're cutting ties with

747
00:44:17,680 --> 00:44:19,560
Speaker 1: this guy, Like, oh, now you want to cut ties

748
00:44:19,600 --> 00:44:22,280
Speaker 1: with it, Well, that's that's our policy. Once you're sloppy

749
00:44:22,360 --> 00:44:24,520
Speaker 1: with it, and you with your racism, then we gotta

750
00:44:24,560 --> 00:44:27,120
Speaker 1: cut ties. If you can keep it low, then you

751
00:44:27,200 --> 00:44:30,279
Speaker 1: can say the studies of like the just amount of

752
00:44:30,760 --> 00:44:35,120
Speaker 1: open with supremacists in the military in the capitol. Do

753
00:44:35,160 --> 00:44:37,360
Speaker 1: you see the Capital police thing? Recently one of the

754
00:44:38,080 --> 00:44:41,160
Speaker 1: the Capitol police officers had a copy of the Protocols

755
00:44:41,239 --> 00:44:45,279
Speaker 1: of the Elders of Zion out in the open. I'll

756
00:44:45,400 --> 00:44:49,120
Speaker 1: come on, man, I mean, that's that's just a good open.

757
00:44:49,400 --> 00:44:54,560
Speaker 1: This is Russian manufactured anti Semitic conspiratorial material that's like

758
00:44:54,600 --> 00:44:58,560
Speaker 1: the foundation of so much of modern anti Semitism. There's

759
00:44:58,600 --> 00:45:02,239
Speaker 1: a Capital police officer with that ship out in the

760
00:45:02,320 --> 00:45:05,520
Speaker 1: desk that a Congressional staffer saw it and was like, Uh,

761
00:45:06,800 --> 00:45:10,000
Speaker 1: what the funk is this? The people that are secured well,

762
00:45:10,120 --> 00:45:11,960
Speaker 1: I mean we knew that too. The people that are

763
00:45:12,000 --> 00:45:14,880
Speaker 1: securing this building are also in on it. Okay, they

764
00:45:14,920 --> 00:45:17,560
Speaker 1: were taking fucking selfies. Yeah, I mean, it's just like

765
00:45:17,800 --> 00:45:20,520
Speaker 1: but it's but it's that, it's that just it's just

766
00:45:20,719 --> 00:45:22,759
Speaker 1: that out in the open, you know, where like people

767
00:45:22,760 --> 00:45:24,759
Speaker 1: are having to see that, and that sucks for people

768
00:45:25,080 --> 00:45:28,080
Speaker 1: like to already work in that that place, to be

769
00:45:28,239 --> 00:45:30,719
Speaker 1: there on the sixth and then be like, like the

770
00:45:30,800 --> 00:45:32,800
Speaker 1: and the stafford was Jewish. He was like, what the

771
00:45:32,920 --> 00:45:36,359
Speaker 1: funk is this? Like I'm supposed to trust these people? Right?

772
00:45:36,880 --> 00:45:40,799
Speaker 1: Also Blake nef Just, I found it noteworthy that this dude,

773
00:45:40,880 --> 00:45:45,840
Speaker 1: like he graduated college in like twenty thirteen, he like

774
00:45:46,040 --> 00:45:49,040
Speaker 1: had all the success in his twenties. So just anybody

775
00:45:49,280 --> 00:45:53,520
Speaker 1: who like they are just dying for any like writing

776
00:45:53,800 --> 00:45:59,080
Speaker 1: talent who will who also is a Nazi like they

777
00:45:59,640 --> 00:46:02,160
Speaker 1: they are so hungry for that. So anybody who's like

778
00:46:02,640 --> 00:46:06,239
Speaker 1: who doesn't believe that that's like the easy way that

779
00:46:06,400 --> 00:46:10,960
Speaker 1: people go in entertainment, Like that's you. You just just

780
00:46:11,120 --> 00:46:13,760
Speaker 1: google a picture of this dude. It's it's pretty amazing.

781
00:46:14,200 --> 00:46:16,440
Speaker 1: All right, let's take a quick break. We'll be right back.

782
00:46:26,719 --> 00:46:31,759
Speaker 1: And we're back and really quickly. There is a new

783
00:46:31,960 --> 00:46:36,799
Speaker 1: anti masker talking point I want to hit real quick.

784
00:46:37,280 --> 00:46:40,759
Speaker 1: They're basically saying, well, look, Florida basically had like the

785
00:46:40,840 --> 00:46:45,480
Speaker 1: same spread rate as California. Again, Florida had eleven percent

786
00:46:45,719 --> 00:46:50,160
Speaker 1: higher death rate per capita, but they they are bragging

787
00:46:50,200 --> 00:46:53,879
Speaker 1: about that because Florida did not shut down as much.

788
00:46:54,520 --> 00:46:58,239
Speaker 1: They I think they're unemployment went up like five percentage

789
00:46:58,280 --> 00:47:01,040
Speaker 1: points in California's went up nine. So they're like, ha ha,

790
00:47:01,320 --> 00:47:05,160
Speaker 1: we never we still have our lives, you guys. Uh,

791
00:47:05,520 --> 00:47:10,160
Speaker 1: you know, they're basically making the point metric. Yeah. Like

792
00:47:10,280 --> 00:47:13,520
Speaker 1: even some scientists are like, so California is like system

793
00:47:13,680 --> 00:47:18,160
Speaker 1: wasn't necessarily clearly the winner here, but other scientists are

794
00:47:18,880 --> 00:47:21,560
Speaker 1: saying that you have to like take into account a

795
00:47:21,640 --> 00:47:26,320
Speaker 1: couple of mitigating factors. California population centers are much denser,

796
00:47:27,320 --> 00:47:32,840
Speaker 1: has more high occupation homes uh than Florida. The like,

797
00:47:33,160 --> 00:47:35,879
Speaker 1: like we mentioned up top, the humidity of the air.

798
00:47:36,480 --> 00:47:39,000
Speaker 1: I feel like we're like we we talked about a

799
00:47:39,719 --> 00:47:44,719
Speaker 1: graph that showed that like temperature is like directly related

800
00:47:44,800 --> 00:47:49,360
Speaker 1: to how fast the disease spreads, and another thing that

801
00:47:49,520 --> 00:47:53,600
Speaker 1: it like the hotter and wetter the environment as the

802
00:47:54,480 --> 00:47:57,879
Speaker 1: less its spreads. So that obviously makes Florida a better

803
00:47:58,000 --> 00:48:03,200
Speaker 1: place for just COVID statistics in general. Uh. They point

804
00:48:03,239 --> 00:48:06,360
Speaker 1: out that Arizona is more similar to California, both in

805
00:48:06,520 --> 00:48:13,200
Speaker 1: terms of demographics and climate, and they had Florida like restrictions,

806
00:48:13,280 --> 00:48:16,720
Speaker 1: like much looser restrictions than they had the fifth highest

807
00:48:16,760 --> 00:48:20,239
Speaker 1: death rate in the country. Um, so, I don't know

808
00:48:20,400 --> 00:48:24,960
Speaker 1: just like anything where people are like acting like well,

809
00:48:25,560 --> 00:48:29,959
Speaker 1: the precautions that we that scientifically must have helped don't

810
00:48:30,000 --> 00:48:32,960
Speaker 1: actually help. I think you have to take with a

811
00:48:33,000 --> 00:48:36,040
Speaker 1: grain of salt and wait for people to learn more.

812
00:48:36,600 --> 00:48:38,960
Speaker 1: Like the second somebody with no mask on it's trying

813
00:48:39,000 --> 00:48:41,160
Speaker 1: to tell me about mask anything, I'm like, are you

814
00:48:41,239 --> 00:48:46,279
Speaker 1: a fucking epidemiologist? Then shut the funk up, especially a

815
00:48:46,440 --> 00:48:48,719
Speaker 1: year into this. I don't know if you all saw this. Uh,

816
00:48:49,239 --> 00:48:50,840
Speaker 1: this was a video where this guy was with his

817
00:48:51,000 --> 00:48:55,840
Speaker 1: kids at Trader Joe's and he basically like strong arms

818
00:48:55,920 --> 00:48:59,520
Speaker 1: his way into the store, speaking some mix of English

819
00:48:59,560 --> 00:49:03,360
Speaker 1: and and talking about why you know, you guys are

820
00:49:03,400 --> 00:49:06,239
Speaker 1: still acting like this. I'm here with with with my

821
00:49:06,400 --> 00:49:09,600
Speaker 1: my children. Uh less en phone um in the store.

822
00:49:09,880 --> 00:49:11,880
Speaker 1: And I can't believe that you all really believe all

823
00:49:11,920 --> 00:49:15,360
Speaker 1: of this about COVID. We have been a year into

824
00:49:15,440 --> 00:49:19,520
Speaker 1: this whole Panda express, right, Like, why are people still

825
00:49:19,560 --> 00:49:23,040
Speaker 1: acting like this around mask? It's ridiculous. I remember last

826
00:49:23,120 --> 00:49:26,120
Speaker 1: year it being sort of a talking point around temperature

827
00:49:26,200 --> 00:49:30,880
Speaker 1: and the coronavirus, like saying some things yeah, and I

828
00:49:31,360 --> 00:49:34,160
Speaker 1: distinctly remember Trump saying it about oh, well, you know,

829
00:49:34,600 --> 00:49:36,600
Speaker 1: it's gonna get warmer, and so it won't move as

830
00:49:36,640 --> 00:49:39,480
Speaker 1: fast because it will be the summer. Clearly that was

831
00:49:39,520 --> 00:49:43,480
Speaker 1: not the case. Yeah. Now it definitely it has an impact,

832
00:49:43,640 --> 00:49:46,440
Speaker 1: but it doesn't have such an impact that you can

833
00:49:46,520 --> 00:49:50,240
Speaker 1: do all the wrong things and expected to go away

834
00:49:50,400 --> 00:49:53,560
Speaker 1: like he did. Um, well, that's a negative frame of mind, Jack.

835
00:49:53,960 --> 00:49:55,480
Speaker 1: We're never gonna get out of pandemic with that kind

836
00:49:55,520 --> 00:49:57,600
Speaker 1: of thinking. Yeah. I mean, my theory has always been

837
00:49:57,640 --> 00:50:01,480
Speaker 1: that it's all fear based, and coronavirus comes from fear,

838
00:50:01,840 --> 00:50:07,200
Speaker 1: and it's an exercise and confidence, y'all. God uh, And

839
00:50:07,320 --> 00:50:11,400
Speaker 1: that's why Trump almost died despite being the most another

840
00:50:11,440 --> 00:50:14,520
Speaker 1: story really that kind of went out like a slight dribble.

841
00:50:14,560 --> 00:50:17,920
Speaker 1: They're like, yo, he almost died when people don't but

842
00:50:18,560 --> 00:50:20,560
Speaker 1: and then he think he's denyed, didn't deny he got

843
00:50:20,640 --> 00:50:24,120
Speaker 1: the vaccine. When he got the vaccine, Yes, so you

844
00:50:24,200 --> 00:50:29,560
Speaker 1: know what this is? Huh? What man? But whatever? Like

845
00:50:29,960 --> 00:50:34,560
Speaker 1: infusion of teenager's blood that they gave him to just

846
00:50:34,880 --> 00:50:37,120
Speaker 1: get him right back after he was like on deb

847
00:50:37,600 --> 00:50:41,080
Speaker 1: chrome adrene of chrome Yeah, I mean, yeah, if if

848
00:50:41,160 --> 00:50:44,680
Speaker 1: we're keeping with the pattern of everything they accused the

849
00:50:44,760 --> 00:50:48,680
Speaker 1: other side of they're actually doing then, Yeah, Adrene of Chrome,

850
00:50:48,800 --> 00:50:53,399
Speaker 1: the cube conspiracy that all Hollywood elites are just like vampires,

851
00:50:53,560 --> 00:50:57,000
Speaker 1: milking like young people for their adrene of chrome. Like

852
00:50:57,320 --> 00:50:59,759
Speaker 1: I guess we gotta look into that. Yeah, all right,

853
00:50:59,840 --> 00:51:04,480
Speaker 1: let talk about motherly love you guys. Um there's a

854
00:51:04,640 --> 00:51:07,920
Speaker 1: couple doting mother updates that we wanted to check in on.

855
00:51:08,320 --> 00:51:13,239
Speaker 1: These are such one mom drama kind of things, but

856
00:51:13,480 --> 00:51:16,280
Speaker 1: they're so amazing because, like, as both of these stories

857
00:51:16,280 --> 00:51:19,400
Speaker 1: are gonna go through, they make me realize how old

858
00:51:19,520 --> 00:51:21,800
Speaker 1: I am too, and like what I thought was a

859
00:51:21,920 --> 00:51:25,759
Speaker 1: scam and what wasn't. So we'll go from severe to

860
00:51:25,880 --> 00:51:28,279
Speaker 1: more severe. The first one is a mother and daughter

861
00:51:28,400 --> 00:51:33,279
Speaker 1: duel in Florida. They were arrested for fraudulently accessing confidential

862
00:51:33,360 --> 00:51:36,360
Speaker 1: student information. So you say, what's that? Okay, So this

863
00:51:36,600 --> 00:51:39,279
Speaker 1: Tate High School, there's there were two thousand students and

864
00:51:39,600 --> 00:51:42,600
Speaker 1: on the October twenty eight of last year, they were told, hey,

865
00:51:42,920 --> 00:51:45,759
Speaker 1: go to this program election Runner, and you can go

866
00:51:46,000 --> 00:51:48,600
Speaker 1: cast your vote for the students that you want to

867
00:51:48,800 --> 00:51:51,440
Speaker 1: be like in the homecoming court. And this is like

868
00:51:51,560 --> 00:51:53,319
Speaker 1: what you need to do to vote was put their

869
00:51:53,320 --> 00:51:56,560
Speaker 1: school I D numbers and their birthday. This woman's daughter

870
00:51:57,360 --> 00:52:01,120
Speaker 1: was crowned queen on October thirty one, you know, beautiful

871
00:52:01,160 --> 00:52:03,560
Speaker 1: home timing ceremonies. She had the roses and everything. But

872
00:52:03,640 --> 00:52:06,320
Speaker 1: then a few days later the program elect election runner

873
00:52:06,560 --> 00:52:08,920
Speaker 1: hit the school up and said there were dozens of

874
00:52:09,080 --> 00:52:12,680
Speaker 1: votes that have been flagged as fraudulent. Approximately one d

875
00:52:12,880 --> 00:52:17,000
Speaker 1: seventeen votes originated from the same Internet Protocol or i

876
00:52:17,160 --> 00:52:20,480
Speaker 1: P address within a short period of time. Then there

877
00:52:20,560 --> 00:52:23,520
Speaker 1: was an investigation the FEDS or the what is it

878
00:52:23,600 --> 00:52:25,520
Speaker 1: the Federal Bureau of Law Enforcement or whatever they called

879
00:52:25,600 --> 00:52:28,560
Speaker 1: FDL or something. They looked into it. They found that

880
00:52:28,719 --> 00:52:31,640
Speaker 1: it was all coming from this mom's cell phone and computer,

881
00:52:31,719 --> 00:52:33,200
Speaker 1: and they said, what the fund is going on? So

882
00:52:33,360 --> 00:52:35,880
Speaker 1: it turns out she didn't even use the VPN. No

883
00:52:36,880 --> 00:52:39,200
Speaker 1: we advertise on here. We had we do do you

884
00:52:39,360 --> 00:52:42,000
Speaker 1: You could get it Norton or Express however you want it, baby,

885
00:52:42,160 --> 00:52:43,840
Speaker 1: but you can protect your ass when you're trying to

886
00:52:43,960 --> 00:52:47,080
Speaker 1: ride or die for your daughter. And this whole thing

887
00:52:47,200 --> 00:52:50,000
Speaker 1: is wild because the mother was a faculty member, like

888
00:52:50,120 --> 00:52:52,759
Speaker 1: within the school district, so she had access to this

889
00:52:53,000 --> 00:52:58,040
Speaker 1: larger program, like this organizational informational infrastructure program that you

890
00:52:58,120 --> 00:53:03,080
Speaker 1: could summon up these records grades, medical records, funk around

891
00:53:03,160 --> 00:53:05,800
Speaker 1: with the fucking votes and ship and this and this.

892
00:53:06,280 --> 00:53:07,799
Speaker 1: This is the other thing is too, they said. Around

893
00:53:07,840 --> 00:53:09,840
Speaker 1: the same time of the investigation, quote, the school student

894
00:53:09,920 --> 00:53:12,520
Speaker 1: council coordinator learned that the student was telling people she

895
00:53:12,800 --> 00:53:16,480
Speaker 1: quote utilized her mother's account to cast votes. She's she

896
00:53:16,760 --> 00:53:21,320
Speaker 1: was sloppy with it, very sloppy. I mean, the whole

897
00:53:21,440 --> 00:53:25,160
Speaker 1: thing about multiple voting from one device is like some

898
00:53:25,280 --> 00:53:30,360
Speaker 1: American idol type of ship. That's that's so ridiculous, Michael

899
00:53:30,440 --> 00:53:33,480
Speaker 1: Cohene type of ship. He got caught voting for himself

900
00:53:33,600 --> 00:53:35,960
Speaker 1: as like, uh, what was it? It was? It was

901
00:53:36,040 --> 00:53:38,880
Speaker 1: like some like handsomeness pull or something. No, yeah, I

902
00:53:38,920 --> 00:53:41,000
Speaker 1: think he had his own Twitter account where he was like, Yo,

903
00:53:41,120 --> 00:53:43,279
Speaker 1: how hot is Michael Cohen y'all or something like that,

904
00:53:44,560 --> 00:53:47,520
Speaker 1: and it's like ended making your own yeah, and student

905
00:53:47,560 --> 00:53:50,600
Speaker 1: was caught. Yeah, he was caught juice in the vote

906
00:53:50,880 --> 00:53:54,239
Speaker 1: for himself. But this ship apparently has happened before, like

907
00:53:54,400 --> 00:53:58,400
Speaker 1: in this Washington Post article. They say in seventeen, faculty

908
00:53:58,440 --> 00:54:01,080
Speaker 1: member at a southern California high schore resigned after allegedly

909
00:54:01,200 --> 00:54:04,680
Speaker 1: rigging student government contest. In twenty nineteen, a high school

910
00:54:04,719 --> 00:54:07,239
Speaker 1: or running for class president in Berkeley hacked into the

911
00:54:07,280 --> 00:54:10,560
Speaker 1: phone email accounts to cast hundreds of folks for himself.

912
00:54:10,840 --> 00:54:13,640
Speaker 1: I mean, this is like century ship. Like I remember

913
00:54:13,719 --> 00:54:17,680
Speaker 1: when marking your Scantron answer sheet as the answer key

914
00:54:18,520 --> 00:54:21,960
Speaker 1: was the most high stake scam you could pull. Like academically,

915
00:54:22,040 --> 00:54:23,839
Speaker 1: They're like, yeah, I'm going for it. When they run

916
00:54:23,920 --> 00:54:25,600
Speaker 1: my ship, They're gonna say that's the answer key, and

917
00:54:25,719 --> 00:54:28,400
Speaker 1: I'm gonna get when when I was when I was

918
00:54:28,440 --> 00:54:32,480
Speaker 1: in college, we used to print uh, barcodes on like

919
00:54:32,880 --> 00:54:36,600
Speaker 1: plastic transparency tape and used that to like sneak into

920
00:54:36,640 --> 00:54:40,239
Speaker 1: the calf. Like that's high tech kind of scams. I mean,

921
00:54:40,320 --> 00:54:42,640
Speaker 1: this is this is some other ship. And like for me,

922
00:54:42,760 --> 00:54:45,360
Speaker 1: this is interesting because like I I ran an award

923
00:54:45,440 --> 00:54:49,880
Speaker 1: show for several years from two thousand four. So this

924
00:54:50,040 --> 00:54:54,320
Speaker 1: kind of like multiple vote thing is one very easy

925
00:54:54,400 --> 00:54:58,800
Speaker 1: to fix, Like it's a it's almost a mandatory security protocol.

926
00:54:58,920 --> 00:55:02,400
Speaker 1: So the fact that this uh what's it called election runner,

927
00:55:02,920 --> 00:55:04,840
Speaker 1: the fact that the software was so basic that they

928
00:55:04,880 --> 00:55:08,000
Speaker 1: didn't catch that to me, just feel sloppy on on

929
00:55:08,120 --> 00:55:10,200
Speaker 1: their end. But the fact that the mom's like yeah,

930
00:55:10,239 --> 00:55:13,080
Speaker 1: I'm just gonna keep voting and going to like I

931
00:55:13,120 --> 00:55:16,480
Speaker 1: don't know, I could imagine her driving around town, connecting

932
00:55:16,520 --> 00:55:20,920
Speaker 1: to different WiFi spots voting. Okay, let's go to the Windys.

933
00:55:21,000 --> 00:55:22,279
Speaker 1: You sit in the park a lot and do it.

934
00:55:22,440 --> 00:55:25,839
Speaker 1: You know. Yeah, but she messed that up. But yeah,

935
00:55:26,000 --> 00:55:29,480
Speaker 1: so they both got arrested. Is a crime. Yeah, I

936
00:55:29,520 --> 00:55:32,040
Speaker 1: didn't think they would lock these people, but yeah, she

937
00:55:32,320 --> 00:55:34,760
Speaker 1: the mom had to post bond. The daughter went to juvie.

938
00:55:36,560 --> 00:55:40,560
Speaker 1: And it's because of like security, right, like they were

939
00:55:40,600 --> 00:55:47,840
Speaker 1: accessing the charge was fraudulently accessing confidential student information. Like

940
00:55:48,040 --> 00:55:50,040
Speaker 1: it's this thing that they were getting into that the

941
00:55:50,080 --> 00:55:54,040
Speaker 1: faculty had access to. Just it had oodles of sensitive

942
00:55:54,080 --> 00:55:57,719
Speaker 1: information like all that ship. So also the sheriff's daughter

943
00:55:57,880 --> 00:56:05,120
Speaker 1: was the runner up, so that uh something right, and

944
00:56:05,200 --> 00:56:08,600
Speaker 1: then there's an okay, So then there's another one, this mom,

945
00:56:09,480 --> 00:56:12,000
Speaker 1: which this is a this is dark um, but it

946
00:56:12,120 --> 00:56:16,319
Speaker 1: was also kind of a matter of time. Yeah, two

947
00:56:16,400 --> 00:56:21,879
Speaker 1: deep fixed. So raphaela spone who is fifty. Uh, last

948
00:56:21,960 --> 00:56:24,480
Speaker 1: year she decided to go on a digital harassment campaign

949
00:56:24,560 --> 00:56:28,200
Speaker 1: of her daughter's cheerleading rivals. So it says the affidavit

950
00:56:28,239 --> 00:56:30,799
Speaker 1: says Spoon last year created the doctored images of at

951
00:56:30,880 --> 00:56:34,480
Speaker 1: least three members of the Victory Vipers of Traveling cheerleading squad. Uh.

952
00:56:34,560 --> 00:56:36,799
Speaker 1: There was no indication that her high school aged daughter,

953
00:56:37,120 --> 00:56:39,360
Speaker 1: who was not public identified, knew that her mother was

954
00:56:39,520 --> 00:56:42,440
Speaker 1: doing it, according to court records. So what they did was,

955
00:56:42,680 --> 00:56:45,839
Speaker 1: after analyzing the videos, detectives determined they were quote deep

956
00:56:45,920 --> 00:56:49,359
Speaker 1: fakes created by mapping the girls social media photos onto

957
00:56:49,480 --> 00:56:51,600
Speaker 1: other images, so they were making them look like they

958
00:56:51,640 --> 00:56:54,360
Speaker 1: were vaping or doing like wild ship, like you know,

959
00:56:54,440 --> 00:56:57,160
Speaker 1: kids shouldn't be doing. Detectives trace the phone numbers to

960
00:56:57,280 --> 00:57:01,800
Speaker 1: a website specializing in selling to telemarketers and followed the

961
00:57:01,880 --> 00:57:05,359
Speaker 1: data to an IP address that showed activity from within

962
00:57:05,520 --> 00:57:08,879
Speaker 1: Spone's house. Um, and after searching her smartphone, they found

963
00:57:08,920 --> 00:57:10,839
Speaker 1: the evidence leaking her to the numbers used to send

964
00:57:10,880 --> 00:57:15,640
Speaker 1: the harassing texts and images. UM. It's is wild because

965
00:57:15,760 --> 00:57:18,920
Speaker 1: when we were first hearing about deep fix hitting the mainstream,

966
00:57:19,000 --> 00:57:22,040
Speaker 1: like around seventeen, we were like, this is gonna get

967
00:57:22,280 --> 00:57:27,000
Speaker 1: fucking bad. You can really upend people's reality. I mean

968
00:57:27,160 --> 00:57:29,840
Speaker 1: the tom Cruise ship that went viral last week, that

969
00:57:30,000 --> 00:57:32,200
Speaker 1: was slick. I mean you have to I mean most

970
00:57:32,280 --> 00:57:34,200
Speaker 1: people if you really look like, Okay, I can see

971
00:57:34,240 --> 00:57:37,479
Speaker 1: it's kind of off, but you got I mean, it's

972
00:57:37,600 --> 00:57:40,240
Speaker 1: getting really I'm I've already put money down in Vegas

973
00:57:40,280 --> 00:57:43,720
Speaker 1: that deep fix will factor into the midterms. So oh yeah, absolutely,

974
00:57:43,960 --> 00:57:46,280
Speaker 1: I believe that. I mean, I think it's it's really

975
00:57:46,320 --> 00:57:48,400
Speaker 1: interesting the fact that the technology has progressed to the

976
00:57:48,440 --> 00:57:53,280
Speaker 1: point that like a mom shout not some moms, by

977
00:57:53,320 --> 00:57:55,800
Speaker 1: the way, not to disparage moms, but like this fifthy

978
00:57:55,880 --> 00:57:58,160
Speaker 1: year old mom is like, I'm just gonna make some

979
00:57:58,240 --> 00:58:03,560
Speaker 1: deep fakes. Ye, So, like the technology is that pedestrian

980
00:58:04,240 --> 00:58:06,920
Speaker 1: that anyone clearly can utilize it, which is so yeah,

981
00:58:07,000 --> 00:58:10,040
Speaker 1: so fucked up. It's like, yeah, you know what, I'll

982
00:58:10,040 --> 00:58:12,320
Speaker 1: tell you what, honey, the Vipers aren't gonna win sweepstakes

983
00:58:12,320 --> 00:58:14,360
Speaker 1: at the next competition if their best flyers aren't in

984
00:58:14,360 --> 00:58:16,560
Speaker 1: the game, you know what I mean. Also, a mom

985
00:58:16,640 --> 00:58:18,920
Speaker 1: looks like like the mug shot, Like she looks like

986
00:58:19,000 --> 00:58:21,760
Speaker 1: she will suck somebody up. Oh yeah, yeah, she looks

987
00:58:21,800 --> 00:58:23,400
Speaker 1: like a mom who just needs to pull up with

988
00:58:23,480 --> 00:58:25,440
Speaker 1: her words. You know. I remember when the most mom

989
00:58:25,440 --> 00:58:27,480
Speaker 1: would do is like they were they were waiting for

990
00:58:27,640 --> 00:58:29,560
Speaker 1: your ass after school to be like, can I talk

991
00:58:29,600 --> 00:58:32,800
Speaker 1: to you really quick? You know what I mean? Like

992
00:58:33,440 --> 00:58:36,720
Speaker 1: not deep fakes. She's not wearing Morpheus glasses, so she's

993
00:58:36,760 --> 00:58:39,160
Speaker 1: not a hacker or anything like that. She just looks

994
00:58:39,200 --> 00:58:43,160
Speaker 1: like so her eyeliner is is inspiring a Morpheus glass

995
00:58:44,400 --> 00:58:48,840
Speaker 1: to some level, and her criminally thin lips, uh indicate

996
00:58:48,920 --> 00:58:51,920
Speaker 1: someone who cannot be trusted. But yeah, the deep it's

997
00:58:51,960 --> 00:58:56,080
Speaker 1: just I don't know, you know, like where this ends

998
00:58:56,120 --> 00:58:58,320
Speaker 1: to your point where he's if a mom can pick

999
00:58:58,400 --> 00:59:03,040
Speaker 1: it up. Uh, we're seeing what what the what Congress

1000
00:59:03,200 --> 00:59:06,760
Speaker 1: is beginning to look like by the hour. It's only

1001
00:59:07,040 --> 00:59:09,760
Speaker 1: a matter of time they come through with some sloppy,

1002
00:59:09,880 --> 00:59:13,760
Speaker 1: dumb ship and it completely fucks up the perceived reality

1003
00:59:13,800 --> 00:59:17,520
Speaker 1: of the country, where people are firmly in a firmly

1004
00:59:17,720 --> 00:59:21,840
Speaker 1: believing in a deep fake that maybe verifiably fake, merely

1005
00:59:21,920 --> 00:59:24,160
Speaker 1: because it serves the purpose of like furthering a narrative

1006
00:59:24,200 --> 00:59:27,800
Speaker 1: that they need for their partisanship. So this is someone

1007
00:59:27,880 --> 00:59:31,920
Speaker 1: who doesn't know how I p addresses work, who is

1008
00:59:32,000 --> 00:59:36,080
Speaker 1: able to pull off a deep fake like that's uh yeah,

1009
00:59:36,400 --> 00:59:41,959
Speaker 1: that's Republican. Yeah yeah, yeah, yeah. Democrats are a little

1010
00:59:41,960 --> 00:59:44,440
Speaker 1: bit slicker when they're with their fun and sometimes they're not.

1011
00:59:44,560 --> 00:59:46,439
Speaker 1: But I think at the end of the day, it's

1012
00:59:46,480 --> 00:59:49,280
Speaker 1: just down to you know, if the means are there,

1013
00:59:49,880 --> 00:59:51,960
Speaker 1: then people are going to fucking do whatever they can.

1014
00:59:52,080 --> 00:59:54,560
Speaker 1: And in this case, like we're seeing two versions of

1015
00:59:54,680 --> 00:59:56,840
Speaker 1: like moms just really being like I want the best

1016
00:59:56,880 --> 01:00:00,040
Speaker 1: for my daughter. And you know what if Lori of

1017
01:00:00,120 --> 01:00:04,080
Speaker 1: flin aunt Becky can fucking defraud in admissions process, give

1018
01:00:04,120 --> 01:00:05,960
Speaker 1: us a funk if I do some deep facing or

1019
01:00:06,280 --> 01:00:08,960
Speaker 1: vote fraud right, And they're doing it for such mundane

1020
01:00:09,080 --> 01:00:12,080
Speaker 1: reasons like I want my daughter to be homecoming queen,

1021
01:00:12,520 --> 01:00:16,000
Speaker 1: I want my daughter's cheerleading rivals to suffer. Like it's

1022
01:00:16,040 --> 01:00:18,600
Speaker 1: not even for some big ship like lying to get

1023
01:00:18,640 --> 01:00:22,400
Speaker 1: into college. You know, it's for very mundane high school

1024
01:00:22,600 --> 01:00:25,960
Speaker 1: level type steaks that won't mean anything once you graduate,

1025
01:00:26,360 --> 01:00:30,280
Speaker 1: right yea, yeah, man, what's the what's like the most

1026
01:00:30,360 --> 01:00:32,320
Speaker 1: your mom did for you? That wasn't like that like

1027
01:00:32,400 --> 01:00:34,800
Speaker 1: our a parent did for you, a loved one, like

1028
01:00:34,920 --> 01:00:38,200
Speaker 1: I don't know anybody like my I remember my mom

1029
01:00:38,440 --> 01:00:42,240
Speaker 1: yelled at another kid once, like for just being shitty

1030
01:00:42,320 --> 01:00:44,480
Speaker 1: to me. That was I think that was like the most.

1031
01:00:44,800 --> 01:00:47,960
Speaker 1: But I think potentially my mom would deploy a deep

1032
01:00:48,000 --> 01:00:51,000
Speaker 1: fake in my honor. I think my mom is probably

1033
01:00:51,040 --> 01:00:54,440
Speaker 1: cussed out a teacher or too. Right, Yeah, if this

1034
01:00:54,520 --> 01:00:56,520
Speaker 1: were her, Now do you think do you think our

1035
01:00:56,600 --> 01:00:59,160
Speaker 1: moms would dabble in this kind of next level? You know?

1036
01:01:00,040 --> 01:01:02,000
Speaker 1: Now my mom is a total ludike. She wouldn't do it.

1037
01:01:02,440 --> 01:01:04,560
Speaker 1: Oh wow, So so she's also so pull up to

1038
01:01:04,640 --> 01:01:07,280
Speaker 1: the school. Yeah, she'll pull up. Yeah right, yeah, that's

1039
01:01:07,360 --> 01:01:12,800
Speaker 1: better from the country, she'll pull up. Yeah, yeah, exactly that.

1040
01:01:13,960 --> 01:01:18,320
Speaker 1: My mom was once implicated in a hit man complicating

1041
01:01:18,400 --> 01:01:21,120
Speaker 1: a hit man to take out one of one of

1042
01:01:21,200 --> 01:01:27,919
Speaker 1: my basketball rivals at a pool party in sixth grade. Yeah,

1043
01:01:28,360 --> 01:01:32,400
Speaker 1: he's missing. Still, that's I mean, that's the old version

1044
01:01:32,480 --> 01:01:36,160
Speaker 1: of this. Like, I guess that's probably better that they're doing,

1045
01:01:36,320 --> 01:01:43,200
Speaker 1: uh these sloppy than actually trying to hire a hit

1046
01:01:43,280 --> 01:01:46,800
Speaker 1: man to take out the cheerleading rivals. How how long

1047
01:01:46,920 --> 01:01:50,520
Speaker 1: until we see the Sundance film version of these? Right?

1048
01:01:51,080 --> 01:01:55,520
Speaker 1: Oh yeah, oh my god. Yeah, I don't imagine. Yeah,

1049
01:01:55,600 --> 01:01:58,600
Speaker 1: that is true that like Sun Dances the new like

1050
01:01:58,720 --> 01:02:02,760
Speaker 1: the Sun Dance Indie version is the new Lifetime version.

1051
01:02:03,120 --> 01:02:05,600
Speaker 1: It's like, now that's not Lifetime anymore. They're gonna they're

1052
01:02:05,600 --> 01:02:09,439
Speaker 1: gonna art it up and make it like, yeah, we'll

1053
01:02:09,480 --> 01:02:14,200
Speaker 1: go hybrow with our true crime. Maurice, it has been

1054
01:02:14,640 --> 01:02:18,440
Speaker 1: such a pleasure having you again as always. Where can

1055
01:02:18,480 --> 01:02:21,680
Speaker 1: people find you and follow you? You can find me

1056
01:02:21,760 --> 01:02:25,080
Speaker 1: online at Maurice Cherry dot com m A U R

1057
01:02:25,200 --> 01:02:28,360
Speaker 1: I C E C H E R R Y, or

1058
01:02:28,440 --> 01:02:31,800
Speaker 1: you can follow me on Twitter at Maurice Cherry. Yeah. Yeah,

1059
01:02:32,160 --> 01:02:34,240
Speaker 1: And uh, is there a tweet or some of the

1060
01:02:34,320 --> 01:02:38,320
Speaker 1: work of social media you've been enjoying, So yes, there is.

1061
01:02:38,520 --> 01:02:42,200
Speaker 1: And I I don't know how I discovered this. I

1062
01:02:42,360 --> 01:02:44,760
Speaker 1: was probably high one day and and was just browsing

1063
01:02:44,760 --> 01:02:49,000
Speaker 1: through Twitter, but um, there there's this this troop of

1064
01:02:49,720 --> 01:02:54,520
Speaker 1: Brazilian street dancers known as cart for a Cow um

1065
01:02:54,600 --> 01:02:57,240
Speaker 1: and I've got a link to the tweet here. But

1066
01:02:57,720 --> 01:03:00,840
Speaker 1: it's these people that dance throughout the streets of like

1067
01:03:01,000 --> 01:03:04,640
Speaker 1: Salpolo and other parts of Brazil, and they're dressed as

1068
01:03:05,320 --> 01:03:09,040
Speaker 1: different cartoon characters like Kyle from South Park or Mickey

1069
01:03:09,120 --> 01:03:13,120
Speaker 1: Mouse or Mario or Goku. And one of the main

1070
01:03:13,440 --> 01:03:20,040
Speaker 1: characters is this like long haired, furry handed person called

1071
01:03:20,120 --> 01:03:25,560
Speaker 1: Fafoul that has like these big, like pendulous distended jaws

1072
01:03:25,640 --> 01:03:28,520
Speaker 1: and a pig snout, but they do all these acrobatics

1073
01:03:28,560 --> 01:03:31,080
Speaker 1: like they're dancing in the street. Fafoul does this like

1074
01:03:31,240 --> 01:03:33,880
Speaker 1: thing where like it runs up a wall or something

1075
01:03:34,000 --> 01:03:36,600
Speaker 1: like that. And the tweet that I that I have

1076
01:03:36,760 --> 01:03:38,720
Speaker 1: here is like it's sort of like a fan cam

1077
01:03:38,880 --> 01:03:40,880
Speaker 1: video that I guess someone put together of a popular

1078
01:03:41,280 --> 01:03:44,640
Speaker 1: Brazilian song and like it has clips of them dancing

1079
01:03:44,760 --> 01:03:47,480
Speaker 1: throughout the streets. I have been obsessed with it ever

1080
01:03:47,560 --> 01:03:50,440
Speaker 1: since I've seen it. All right, we will link off

1081
01:03:50,520 --> 01:03:53,520
Speaker 1: to that in the footnotes, so you can check that

1082
01:03:53,640 --> 01:03:56,960
Speaker 1: ship out. Miles Where can people find you? What's the

1083
01:03:56,960 --> 01:03:59,560
Speaker 1: tweet you've been enjoying? You can find me on Twitter

1084
01:03:59,760 --> 01:04:03,800
Speaker 1: and Stagram, PlayStation network, Miles of Gray. Also the other

1085
01:04:03,840 --> 01:04:06,800
Speaker 1: podcast for twenty Day Fiance where you know we're talking

1086
01:04:06,920 --> 01:04:10,520
Speaker 1: ninety day married at first sight, all that trash up

1087
01:04:10,560 --> 01:04:13,880
Speaker 1: in your veins. Let's come check that out tweet that

1088
01:04:14,080 --> 01:04:17,960
Speaker 1: I like. Let's see uh this one. This tweet is

1089
01:04:18,080 --> 01:04:21,360
Speaker 1: from Hybrid at Hybrid original underscore. It said I'm not ugly,

1090
01:04:21,800 --> 01:04:23,880
Speaker 1: but if you see me on my mom's Facebook, then

1091
01:04:23,920 --> 01:04:26,800
Speaker 1: I don't know what to tell you, because you know,

1092
01:04:27,200 --> 01:04:30,240
Speaker 1: parents would post some fun photos of you and you're like,

1093
01:04:30,400 --> 01:04:35,160
Speaker 1: what the That's why I'm on Facebook because I refused

1094
01:04:35,160 --> 01:04:37,480
Speaker 1: to see those old photos. Uh. And that was just

1095
01:04:37,760 --> 01:04:41,400
Speaker 1: very relatable. And also Deb Holland at Deb Holland and

1096
01:04:41,600 --> 01:04:43,520
Speaker 1: am thank you to the U. S. Senate for your

1097
01:04:43,560 --> 01:04:46,400
Speaker 1: confirmation vote today. As Secretary of Interior. I look forward

1098
01:04:46,400 --> 01:04:48,800
Speaker 1: to collaborating with all of you. I am ready to serve.

1099
01:04:48,880 --> 01:04:52,640
Speaker 1: Hashtag beef ears great to see uh native American woman

1100
01:04:53,080 --> 01:04:57,600
Speaker 1: just running the interior now, uh we God bless Let's

1101
01:04:57,640 --> 01:05:00,400
Speaker 1: just let's keep going. Let's see, let's see even more

1102
01:05:00,440 --> 01:05:03,920
Speaker 1: and more improvement. Please tweet. I enjoyed A couple of

1103
01:05:04,160 --> 01:05:09,320
Speaker 1: people abolish rpd uh tweeted this at me. A couple

1104
01:05:09,400 --> 01:05:12,960
Speaker 1: other people did uh at we we goo tweeted till

1105
01:05:13,080 --> 01:05:16,640
Speaker 1: my Today I learned my year old grandma spent her

1106
01:05:16,720 --> 01:05:19,720
Speaker 1: year in isolation, studying the NBA and filling a notepad

1107
01:05:19,840 --> 01:05:23,920
Speaker 1: with her favorite players on each team. And she's like,

1108
01:05:24,080 --> 01:05:28,320
Speaker 1: it's a photograph of her year old grandma showing off uh,

1109
01:05:28,720 --> 01:05:31,560
Speaker 1: legal pad with three teams written on it and her

1110
01:05:31,640 --> 01:05:36,520
Speaker 1: their favorite players underneath. Toronto Toronto Raptors, no players, not

1111
01:05:36,720 --> 01:05:39,760
Speaker 1: not a fan of any of them. Brooklyn Brooklyn nets

1112
01:05:40,320 --> 01:05:43,160
Speaker 1: she has two of the people you'd expect, Kevin Durant

1113
01:05:43,200 --> 01:05:48,080
Speaker 1: and James Harden Philly, Philadelphia, seventy six ers, Danny Green

1114
01:05:53,440 --> 01:05:58,400
Speaker 1: It Toronto, repped in I think Toronto repped in nobody,

1115
01:05:58,640 --> 01:06:04,600
Speaker 1: but gen of it. Yeah, anyways, that's adorable, awesome. Uh.

1116
01:06:04,920 --> 01:06:08,560
Speaker 1: Dave Horrowitz tweeted post COVID plan equals open a family

1117
01:06:08,600 --> 01:06:16,800
Speaker 1: guy themed Schwarmo place called Oh Peter h and K.

1118
01:06:17,080 --> 01:06:20,320
Speaker 1: Whole Sailor tweeted, every baby boomer knows someone who was

1119
01:06:20,360 --> 01:06:22,760
Speaker 1: in a car wreck and the doctor told them if

1120
01:06:22,840 --> 01:06:25,680
Speaker 1: they had been wearing a seatbelt, they would have been killed,

1121
01:06:26,680 --> 01:06:32,000
Speaker 1: which is damn. That's so my dad loves talking about.

1122
01:06:32,360 --> 01:06:35,200
Speaker 1: And I found out if if it had been a

1123
01:06:35,320 --> 01:06:38,680
Speaker 1: half an inch to the left, he would have been

1124
01:06:38,720 --> 01:06:42,320
Speaker 1: a gone, ripped my head off. Yeah, that's right there,

1125
01:06:42,760 --> 01:06:44,520
Speaker 1: you'd have been pouring out, pouring one out for me

1126
01:06:44,560 --> 01:06:47,200
Speaker 1: along with Uncle Ben in a landa Lake's lady. That's right.

1127
01:06:49,600 --> 01:06:52,760
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

1128
01:06:52,840 --> 01:06:55,760
Speaker 1: You can find us on Twitter at Daily Zeitgeist. Were

1129
01:06:55,760 --> 01:06:58,680
Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook

1130
01:06:58,720 --> 01:07:01,360
Speaker 1: fan page and a web's Daily zeit You guys dot Com,

1131
01:07:01,440 --> 01:07:05,959
Speaker 1: where we post our episodes and our footnote. We also

1132
01:07:06,120 --> 01:07:11,840
Speaker 1: post those in the show notes, um and Smiles. We

1133
01:07:12,040 --> 01:07:14,320
Speaker 1: like to also link off to a song that you

1134
01:07:14,480 --> 01:07:19,880
Speaker 1: recommend people go check out. What is today's recommendation? This? Uh,

1135
01:07:20,120 --> 01:07:23,560
Speaker 1: this is a track from KRS. It's just not Cares one,

1136
01:07:24,760 --> 01:07:29,120
Speaker 1: just a producer name Caress with a period at the end. First, yeah,

1137
01:07:29,600 --> 01:07:32,360
Speaker 1: waiting in Vain is then Waiting in Vain edit is

1138
01:07:32,400 --> 01:07:35,360
Speaker 1: the name of the track. And it's a very just

1139
01:07:36,320 --> 01:07:38,600
Speaker 1: it's only on SoundCloud because this is like when you

1140
01:07:38,640 --> 01:07:42,360
Speaker 1: got to get in the indie producer vibe. But it's

1141
01:07:42,400 --> 01:07:45,480
Speaker 1: just a Bob Marley. It's Bob Marley's Wait in Vain,

1142
01:07:46,240 --> 01:07:48,760
Speaker 1: but it's like it's turned up, like to be a

1143
01:07:48,800 --> 01:07:51,720
Speaker 1: little more modern and vibe. And if you smoke weed

1144
01:07:52,040 --> 01:07:53,919
Speaker 1: or you like to dance, if you have a toad

1145
01:07:53,960 --> 01:07:55,640
Speaker 1: that likes to jump up in your boot, you got

1146
01:07:55,720 --> 01:07:57,840
Speaker 1: honey in your hips, and then you should put this

1147
01:07:58,000 --> 01:08:01,919
Speaker 1: on and do something. But this is wait but like again,

1148
01:08:02,000 --> 01:08:04,120
Speaker 1: there is a Cares with a weight in Vain edit.

1149
01:08:04,360 --> 01:08:08,080
Speaker 1: We gotta find it on soundloud or the footnotes footnotes

1150
01:08:08,360 --> 01:08:12,400
Speaker 1: foot notes. All right, we recommend you check that out

1151
01:08:12,480 --> 01:08:14,800
Speaker 1: The daily zeitgeis is a production of my heart Radio.

1152
01:08:14,840 --> 01:08:17,000
Speaker 1: For more podcasts for my heart Radio, visit the i

1153
01:08:17,160 --> 01:08:20,040
Speaker 1: heart Radio app, Apple podcast, wherever you listen to your

1154
01:08:20,040 --> 01:08:22,920
Speaker 1: favorite shows. That is gonna do it for this morning.

1155
01:08:22,960 --> 01:08:25,320
Speaker 1: We're back this afternoon to tell you what's trending and

1156
01:08:25,400 --> 01:08:26,599
Speaker 1: we'll talk to you all down by