1
00:00:00,120 --> 00:00:03,720
Speaker 1: Hello the Internet. I'm welcome to season eight one, episode

2
00:00:03,760 --> 00:00:08,639
Speaker 1: five of them Daily Sight Guys. It's the season finale. Uh.

3
00:00:08,680 --> 00:00:11,280
Speaker 1: This show is a production of My Heart Radio, and

4
00:00:11,480 --> 00:00:13,520
Speaker 1: this is a podcast where we take a deep dive

5
00:00:13,560 --> 00:00:16,960
Speaker 1: into America's shared consciousness and say, officially, off the top

6
00:00:17,320 --> 00:00:24,439
Speaker 1: coke industries and fuck Fox News. It's day two THO

7
00:00:24,680 --> 00:00:28,200
Speaker 1: nine team. My name is Jack O'Brien, a K. I

8
00:00:28,240 --> 00:00:36,280
Speaker 1: can't get no sadists, Jack Shawn. I can't get no

9
00:00:37,800 --> 00:00:46,080
Speaker 1: sadist Jack show because O'Brien and O'Brien and O'Brien and O'Brien,

10
00:00:46,800 --> 00:00:51,159
Speaker 1: I can't get no Alright, that's plenty. That's courtesy off

11
00:00:51,159 --> 00:00:53,560
Speaker 1: Trike Gang, and I'm throwed to be joined as always

12
00:00:53,640 --> 00:01:10,319
Speaker 1: by my co host, Mr Miles Gragne. Action Action Action. Okay,

13
00:01:10,319 --> 00:01:15,000
Speaker 1: that was Benny Bonaci, also from Trite Gang, going for

14
00:01:15,080 --> 00:01:18,040
Speaker 1: the what do you call that? An exacts faction exactly

15
00:01:18,280 --> 00:01:22,560
Speaker 1: the sad sad exacta, not quite a trifecta, but we

16
00:01:22,600 --> 00:01:24,760
Speaker 1: haven't let y'all know who the guest is to do that.

17
00:01:24,800 --> 00:01:27,200
Speaker 1: But hey, you just got close at just TVZ eight

18
00:01:27,240 --> 00:01:30,520
Speaker 1: games and we're trilled to be joined in our third

19
00:01:30,640 --> 00:01:35,000
Speaker 1: seat by the hilarious comedian Mr Nick Turner. I do

20
00:01:35,240 --> 00:01:38,919
Speaker 1: my hair, turn check my name. Tell me how you feeling?

21
00:01:38,959 --> 00:01:45,160
Speaker 1: How are you feeling? Nick Turner? Wow? Damn? Oh my god,

22
00:01:45,520 --> 00:01:51,240
Speaker 1: ak Turner with that one. Ye, damn your girl? Mr

23
00:01:51,680 --> 00:01:55,400
Speaker 1: still your world? Mr Turner? And who Nick? How you doing? Man? Hey?

24
00:01:55,440 --> 00:01:58,440
Speaker 1: I just went through a whole flashback to the middle

25
00:01:58,440 --> 00:02:02,880
Speaker 1: school during all those nicknames. Oh yeah, Turner in name.

26
00:02:03,280 --> 00:02:09,400
Speaker 1: Oh yeah, they never said Nick Turner. Yeah, that would

27
00:02:09,400 --> 00:02:11,480
Speaker 1: have been I would appreciate it. How you been, ma'am.

28
00:02:11,680 --> 00:02:14,440
Speaker 1: I've been excellent. Just missing you, guys. I was banging

29
00:02:14,480 --> 00:02:16,560
Speaker 1: on the door outside for the last couple of months,

30
00:02:16,600 --> 00:02:20,040
Speaker 1: just when it became a problem. Watch Jack. I was like,

31
00:02:20,120 --> 00:02:23,200
Speaker 1: if he really wants it, he'll stay yeah, and then

32
00:02:23,080 --> 00:02:25,040
Speaker 1: he'll keep banging the door till his hands are row.

33
00:02:25,280 --> 00:02:27,119
Speaker 1: Your hands are great, by the way, Thank you so much.

34
00:02:27,840 --> 00:02:33,000
Speaker 1: Full bone, Yeah, full the full bone. Alright, Nick, we're

35
00:02:33,000 --> 00:02:34,359
Speaker 1: gonna get to know you a little bit better in

36
00:02:34,400 --> 00:02:36,560
Speaker 1: a moment. First, we're going to tell our listeners a

37
00:02:36,600 --> 00:02:39,240
Speaker 1: couple of things we're talking about. We're talking about how

38
00:02:39,480 --> 00:02:45,280
Speaker 1: being high with a intimate partner can make things warmer,

39
00:02:45,520 --> 00:02:51,600
Speaker 1: more intimate, better. Uh, specifically on on marijuana, which is

40
00:02:51,639 --> 00:02:56,520
Speaker 1: not the drug that you typically associate with being intimate. Oh, well,

41
00:02:57,320 --> 00:03:03,720
Speaker 1: speak for yourself for you, I said you. We're gonna

42
00:03:03,720 --> 00:03:07,920
Speaker 1: talk about McDonald's new international menu. We're gonna talk about

43
00:03:09,880 --> 00:03:14,400
Speaker 1: how abortion rights have just gone away quick hard turn.

44
00:03:14,840 --> 00:03:16,880
Speaker 1: We'll have an ad break in between those two so

45
00:03:17,440 --> 00:03:19,640
Speaker 1: they're not right next to each other. We'll talk about

46
00:03:20,440 --> 00:03:24,280
Speaker 1: how the president of these United States wiped one point

47
00:03:24,280 --> 00:03:29,640
Speaker 1: five trillion dollars with a t off of Wall Street

48
00:03:30,240 --> 00:03:33,959
Speaker 1: with a single tweet. We'll talk about China security state.

49
00:03:34,320 --> 00:03:38,320
Speaker 1: We'll talk about craft foods. Given a Mother's Day gift

50
00:03:38,360 --> 00:03:42,160
Speaker 1: out to them all the moms out there. Yes, this

51
00:03:42,240 --> 00:03:45,080
Speaker 1: is this is also the Mother's Day episode of the

52
00:03:45,160 --> 00:03:48,160
Speaker 1: Daily Zeitgeist. Uh. And then we'll just do a bunch

53
00:03:48,160 --> 00:03:50,200
Speaker 1: of we'll jump around in act three. We're gonna talk

54
00:03:50,200 --> 00:03:53,760
Speaker 1: about it chapter two trailer for which just came out

55
00:03:54,480 --> 00:04:01,000
Speaker 1: Janice Ante Compo being just a bad bad man. We'll

56
00:04:01,040 --> 00:04:04,360
Speaker 1: talk about why Tesla was trending one of the better

57
00:04:04,400 --> 00:04:09,400
Speaker 1: reasons that Tesla has been trending uh over the past year. Uh.

58
00:04:09,440 --> 00:04:12,680
Speaker 1: And then we'll make some Game of Thrones predictions. Specifically,

59
00:04:12,760 --> 00:04:14,840
Speaker 1: Nick will make them even though he's a season behind.

60
00:04:15,600 --> 00:04:18,719
Speaker 1: I think that would be actually the most powerful. Honestly,

61
00:04:18,720 --> 00:04:22,960
Speaker 1: I think it's gonna end at season seven. That is

62
00:04:23,279 --> 00:04:26,360
Speaker 1: that is a big, a big swing. We also might

63
00:04:26,440 --> 00:04:28,760
Speaker 1: talk about a woman who drank six energy drinks a

64
00:04:28,920 --> 00:04:33,560
Speaker 1: day and what what happened? Needed a pacemaker? Yes, But

65
00:04:33,680 --> 00:04:35,359
Speaker 1: first Nick, we like to ask our guests, what is

66
00:04:35,360 --> 00:04:39,040
Speaker 1: something from your search history that's revealing about who you are? Crap?

67
00:04:39,320 --> 00:04:43,000
Speaker 1: How many things are on that list? That was like,

68
00:04:43,040 --> 00:04:45,880
Speaker 1: I have like nineteen things ready to talk about, Like, damn,

69
00:04:45,880 --> 00:04:48,560
Speaker 1: you hit me right up top from my search history.

70
00:04:48,640 --> 00:04:50,839
Speaker 1: I'll tell you what's going on with my search history.

71
00:04:51,040 --> 00:04:54,599
Speaker 1: It's all being all the time because I've got malware.

72
00:04:55,480 --> 00:05:00,279
Speaker 1: Um no matter what Google, I bing it a while

73
00:05:00,400 --> 00:05:02,920
Speaker 1: and it is killing. I'm gonna have to take it

74
00:05:02,960 --> 00:05:05,960
Speaker 1: to the major just redirects me to thing and you

75
00:05:06,000 --> 00:05:07,480
Speaker 1: know you google it and they're like, yes, this is

76
00:05:07,480 --> 00:05:13,040
Speaker 1: a big problem. Popular consider you got I have a

77
00:05:13,360 --> 00:05:18,880
Speaker 1: mac intoshkay McIntosh. And what kind of websites would be on?

78
00:05:18,920 --> 00:05:29,719
Speaker 1: What kind of files you down? I thought dot com

79
00:05:30,240 --> 00:05:35,039
Speaker 1: dot dot are you because you can go incognito, but

80
00:05:35,040 --> 00:05:38,960
Speaker 1: I didn't realize they still count it. Yeah, yeah, you

81
00:05:37,600 --> 00:05:43,800
Speaker 1: got you still get the MoU Yeah, so anyway, Yeah, no,

82
00:05:43,880 --> 00:05:47,080
Speaker 1: I'm just I've just been back to Victoria's secret catalogs

83
00:05:47,080 --> 00:05:50,960
Speaker 1: for me. They've been good lately. Wow, look at fancy

84
00:05:50,960 --> 00:05:53,360
Speaker 1: Man over here. Yeah, act like you forgot about the

85
00:05:53,360 --> 00:05:57,040
Speaker 1: Sears catalog. I did google that to Turner rep for coming,

86
00:05:57,080 --> 00:06:00,320
Speaker 1: because I wanted to see what he's been. I was

87
00:06:00,360 --> 00:06:03,640
Speaker 1: on a group chat and my my friends were texting

88
00:06:03,680 --> 00:06:06,200
Speaker 1: pictures of their dad's young and I don't have that

89
00:06:06,560 --> 00:06:09,560
Speaker 1: on the internet. My dad's not on the internet. It

90
00:06:09,640 --> 00:06:14,520
Speaker 1: was just like girlfriend's dad is a musician, and my

91
00:06:14,520 --> 00:06:18,200
Speaker 1: other friend's dad is a screenwriter. Um, Charles Gool's dad

92
00:06:18,200 --> 00:06:22,320
Speaker 1: wrote Cocktail, very famous, and so they shared and then

93
00:06:22,320 --> 00:06:24,000
Speaker 1: I was like, I don't know, I don't have any

94
00:06:24,200 --> 00:06:27,120
Speaker 1: pictures of my friend of my dad in his twenties

95
00:06:27,279 --> 00:06:31,880
Speaker 1: at the Department of Transportation, right, So here's a picture

96
00:06:31,920 --> 00:06:35,400
Speaker 1: of Ted Turner and Charles never realized it wasn't my dad,

97
00:06:37,440 --> 00:06:42,920
Speaker 1: Like what what Ted Turner UMAs one in his forties?

98
00:06:43,000 --> 00:06:44,600
Speaker 1: Like it was like the best picture I could find.

99
00:06:44,640 --> 00:06:46,600
Speaker 1: You know, he's got a severe chin dimple And I

100
00:06:46,640 --> 00:06:48,760
Speaker 1: was like, wow, a dimple and you don't have anything

101
00:06:49,200 --> 00:06:52,840
Speaker 1: like yeah, no, I know it's nuts. He's blonde. Well,

102
00:06:52,880 --> 00:06:55,720
Speaker 1: he's flying his own helicopter. You never told me that

103
00:06:55,760 --> 00:06:59,480
Speaker 1: your dad was dating Jane Fonda. And he's like, wait,

104
00:06:59,520 --> 00:07:01,559
Speaker 1: how came our adult swim deal went through? I'm reading

105
00:07:01,720 --> 00:07:06,080
Speaker 1: your dad owned fucking cartoon network. What is something you

106
00:07:06,080 --> 00:07:12,600
Speaker 1: think is overrated? Nick? Um? I think overrated? Are following

107
00:07:12,760 --> 00:07:17,120
Speaker 1: people that you like on Instagram anymore? Uh? In the

108
00:07:17,160 --> 00:07:20,960
Speaker 1: past week, I have deleted maybe people that I have

109
00:07:21,080 --> 00:07:24,760
Speaker 1: been friends on social media with for a decade, for more.

110
00:07:25,160 --> 00:07:28,000
Speaker 1: A lot of it is how you know Instagram is

111
00:07:28,040 --> 00:07:33,559
Speaker 1: filled with comedians clips um or if you noticed this, um,

112
00:07:33,640 --> 00:07:35,680
Speaker 1: but all my all, I only follow up comedians. So

113
00:07:35,760 --> 00:07:39,360
Speaker 1: now it's just comedians doing stand up with their clips

114
00:07:39,360 --> 00:07:41,440
Speaker 1: with the words in the bottom, and that's my whole feed.

115
00:07:41,480 --> 00:07:43,600
Speaker 1: And I said, no, thank you. I also want to

116
00:07:43,600 --> 00:07:46,920
Speaker 1: followed some people who post really delicious terrible food all

117
00:07:46,920 --> 00:07:49,160
Speaker 1: the time, because I'm like, I don't need to see

118
00:07:49,160 --> 00:07:52,160
Speaker 1: that literally all day. I got some friends who owned

119
00:07:52,160 --> 00:07:55,360
Speaker 1: some restaurants and I'm just like, you're done, I know

120
00:07:55,400 --> 00:07:59,760
Speaker 1: where you are. I'll be there. But also tackles Evnado, Yeah,

121
00:07:59,800 --> 00:08:03,960
Speaker 1: there's man, it was really just some of my closest

122
00:08:04,120 --> 00:08:07,920
Speaker 1: closest friends got on followed this week, and close closest

123
00:08:08,000 --> 00:08:12,720
Speaker 1: social media friends are closest closest like actual, actual, actual friends.

124
00:08:12,880 --> 00:08:15,720
Speaker 1: Yeah yeah, I mean you don't. You don't need your

125
00:08:16,080 --> 00:08:19,960
Speaker 1: Instagram and Twitter to like interact with who you're actually

126
00:08:20,000 --> 00:08:21,840
Speaker 1: friends with in real life. You can just keep those

127
00:08:21,840 --> 00:08:24,200
Speaker 1: two separated. No, it's just Diana Agron all the time.

128
00:08:24,240 --> 00:08:28,080
Speaker 1: Now she's the only one left. What is something you

129
00:08:28,080 --> 00:08:33,880
Speaker 1: think is underrated? I think underrated is bringing out the

130
00:08:33,920 --> 00:08:38,720
Speaker 1: appetizer before the entree. I seriously, I want to stab somebody.

131
00:08:39,520 --> 00:08:42,720
Speaker 1: Last night we went again. You you ordering appetizer and

132
00:08:42,760 --> 00:08:45,120
Speaker 1: you ordering entree and they come out at the same time.

133
00:08:45,880 --> 00:08:48,280
Speaker 1: Does that? Oh? I mean half the restaurants on it

134
00:08:48,640 --> 00:08:52,280
Speaker 1: where I was at Viet Noodle in Atwater last night

135
00:08:52,559 --> 00:08:57,920
Speaker 1: shout out really delicious. But yeah, um but no, everything

136
00:08:57,960 --> 00:09:00,200
Speaker 1: about the meal was incredible, Oh my god, but on

137
00:09:00,280 --> 00:09:06,920
Speaker 1: a podcast shaming because the appetizer came out, um right,

138
00:09:07,080 --> 00:09:09,080
Speaker 1: at the same time. They brought them all out together.

139
00:09:09,160 --> 00:09:12,599
Speaker 1: What was advertiser? It was Crispy Rolls. Yeah, what was

140
00:09:12,640 --> 00:09:21,120
Speaker 1: your main It was, uh, beef noodle with peanutsu Okay, yeah, yeah,

141
00:09:21,240 --> 00:09:24,199
Speaker 1: you want because the whole idea, at least the psychology

142
00:09:24,240 --> 00:09:27,040
Speaker 1: when you look at him and you're like yeah, now,

143
00:09:27,679 --> 00:09:29,320
Speaker 1: and then I'll get into the rest of the meal,

144
00:09:29,360 --> 00:09:32,120
Speaker 1: but I need this to start. Yeah. Also, if you

145
00:09:32,160 --> 00:09:35,280
Speaker 1: make it before the appetizer, save it, buddy, I don't

146
00:09:35,280 --> 00:09:39,400
Speaker 1: know anything. I'm dumb, right, Just tell me you just

147
00:09:39,440 --> 00:09:41,680
Speaker 1: made it great? I don't. Yeah, just get to get

148
00:09:41,679 --> 00:09:43,160
Speaker 1: the ship out in the right order. Yeah, I don't.

149
00:09:44,720 --> 00:09:47,320
Speaker 1: It will really because I will like fixate on it

150
00:09:47,400 --> 00:09:50,600
Speaker 1: and it will ruin five five minutes of the meal. Um,

151
00:09:50,640 --> 00:09:54,120
Speaker 1: and then my girlfriend's mad at me and I don't

152
00:09:54,120 --> 00:09:57,400
Speaker 1: need it. I should probably it's probably about me, but

153
00:09:57,800 --> 00:10:00,000
Speaker 1: just don't set me off in the wild exactly. Don't

154
00:10:00,120 --> 00:10:05,800
Speaker 1: fuckled my Crispy Rolls where it was incredible well too expensive? Yeah?

155
00:10:05,880 --> 00:10:09,000
Speaker 1: Well at water yeah, coming up coming out that you're

156
00:10:09,080 --> 00:10:12,440
Speaker 1: changing over there. Yeah, tell me water you ever you

157
00:10:12,440 --> 00:10:16,080
Speaker 1: ever have them? Forget a appetizer and then offer to

158
00:10:16,120 --> 00:10:20,520
Speaker 1: bring it out after you wious as you're like licking

159
00:10:20,520 --> 00:10:23,560
Speaker 1: your fingers like did you still want that? Yeah? Yeah,

160
00:10:23,840 --> 00:10:27,719
Speaker 1: that'd be great. Yeah, Like is it free? Pack it up? Right?

161
00:10:28,320 --> 00:10:30,400
Speaker 1: That is the move and it has to be free

162
00:10:30,559 --> 00:10:33,599
Speaker 1: every they should. Yeah, people don't get you giving a

163
00:10:33,679 --> 00:10:37,760
Speaker 1: free things either. Yeah, I've always said that, I'll always

164
00:10:37,760 --> 00:10:39,120
Speaker 1: I'll never forget the time when I was a kid

165
00:10:39,160 --> 00:10:41,400
Speaker 1: and I got my first free meal because I was

166
00:10:41,400 --> 00:10:45,760
Speaker 1: eating tacos Nacho Mama in No from the restaurant and

167
00:10:45,880 --> 00:10:48,360
Speaker 1: Nacho Mama's in Richmond, and there was a piece of

168
00:10:48,400 --> 00:10:50,800
Speaker 1: the ceramic plate in my taco and I crunched on

169
00:10:50,840 --> 00:10:54,200
Speaker 1: it and it was awful, and they said, obviously this

170
00:10:54,320 --> 00:10:57,880
Speaker 1: is free, and then I said, oh, great, so it's

171
00:10:57,920 --> 00:11:00,840
Speaker 1: obviously free. Whenever something's really wrong, and that is not

172
00:11:00,880 --> 00:11:03,559
Speaker 1: the case in my adult life, is that we always

173
00:11:03,559 --> 00:11:08,480
Speaker 1: have a pocket full of ceramic chicken. Sir, you came

174
00:11:08,480 --> 00:11:10,040
Speaker 1: at lunch and did this. I'm like, how did you

175
00:11:10,040 --> 00:11:11,800
Speaker 1: like your burger? Not here? Open it up real quick

176
00:11:12,520 --> 00:11:17,679
Speaker 1: that we're getting this ceramic. Yeah. Well, the people who

177
00:11:17,760 --> 00:11:19,599
Speaker 1: say there's no such thing as a free meal, what

178
00:11:20,160 --> 00:11:22,920
Speaker 1: do they say about that? I guess the cost you're

179
00:11:22,960 --> 00:11:26,959
Speaker 1: paying is that you break your ceramic, So that would

180
00:11:26,960 --> 00:11:29,559
Speaker 1: be the price, man, if you give me a free meal,

181
00:11:29,640 --> 00:11:32,040
Speaker 1: I'm coming back. I went to Not your Mama's twenty times.

182
00:11:32,679 --> 00:11:34,080
Speaker 1: You know, you give me a freemale, you're making your

183
00:11:34,080 --> 00:11:38,560
Speaker 1: money and no they closed recently. My buddy, Yeah, my

184
00:11:38,559 --> 00:11:40,199
Speaker 1: buddy sent me. It was like two years ago they

185
00:11:40,240 --> 00:11:43,680
Speaker 1: finally closed. It's confusing word play, but it's word playing

186
00:11:43,679 --> 00:11:47,200
Speaker 1: on the word because it's it's it's like because it

187
00:11:47,280 --> 00:11:52,160
Speaker 1: sounds like not your mom or not your mama's not

188
00:11:52,200 --> 00:11:57,040
Speaker 1: your mama's not your mama's Mexican food. That makes sense. Yeah,

189
00:11:57,080 --> 00:11:59,079
Speaker 1: that does work actually really well. But it's like, but

190
00:11:59,160 --> 00:12:03,079
Speaker 1: it's sorry, not yours. But it'd be funny. Was it

191
00:12:03,120 --> 00:12:05,920
Speaker 1: was a food authentic or was it like hell no,

192
00:12:06,040 --> 00:12:08,560
Speaker 1: that's what I'm saying, right, because like for people who

193
00:12:08,559 --> 00:12:10,480
Speaker 1: are like Mexican, like, this is definitely not my mom's

194
00:12:11,960 --> 00:12:14,960
Speaker 1: other ship. They had fried ice you know. It's like

195
00:12:15,040 --> 00:12:18,719
Speaker 1: I thought ice cream was like authentic Mexican food, and

196
00:12:18,800 --> 00:12:20,400
Speaker 1: I have never seen it in New York or l

197
00:12:20,480 --> 00:12:23,440
Speaker 1: ac No. No, no, no, no, yeah, it's just it's no,

198
00:12:23,600 --> 00:12:27,040
Speaker 1: it's like that's actually just ice cream rolled in Virginia.

199
00:12:27,200 --> 00:12:33,560
Speaker 1: Yeah yeah, Richmond, Virginia. University of Richmond Spiders shout out,

200
00:12:33,720 --> 00:12:36,680
Speaker 1: Yeah yeah. Castlopido was the first Mexican restaurant that I

201
00:12:36,679 --> 00:12:39,080
Speaker 1: went to, and the thing that I remember getting there

202
00:12:39,360 --> 00:12:42,160
Speaker 1: was fried ice cream, Like apparently somebody just told the

203
00:12:42,200 --> 00:12:45,720
Speaker 1: East Coast and Midwest that fried ice cream was a

204
00:12:45,760 --> 00:12:49,679
Speaker 1: Mexican delicacy, because yeah, that's those are the only places

205
00:12:49,679 --> 00:12:52,360
Speaker 1: I've ever had it, Is that like Midwestern? Yeah, you

206
00:12:52,400 --> 00:12:54,880
Speaker 1: don't realize I've never even heard of waking food before

207
00:12:54,880 --> 00:12:56,520
Speaker 1: I moved to l A. And that's like half of

208
00:12:56,520 --> 00:12:59,599
Speaker 1: Mexican food, right, I just had no idea. Well, I

209
00:12:59,640 --> 00:13:01,240
Speaker 1: don't know. I mean, I guess it's so weird. When

210
00:13:01,280 --> 00:13:04,959
Speaker 1: I look up fried ice cream, it's like the Mexican dessert.

211
00:13:05,280 --> 00:13:07,920
Speaker 1: It's it's delicious, but I'm like, what's the what's it

212
00:13:07,960 --> 00:13:11,800
Speaker 1: called like in Mexico. Yeah, I don't know. That's that's

213
00:13:12,160 --> 00:13:16,319
Speaker 1: That's one of the age old questions, which came first

214
00:13:16,559 --> 00:13:18,480
Speaker 1: chicken and egg. What do they call Mexican ice cream?

215
00:13:19,600 --> 00:13:23,040
Speaker 1: Is it called just translate the page or something? Yeah?

216
00:13:23,559 --> 00:13:26,080
Speaker 1: Uh and wait, hold on, sorry, hold on, gotta gotta

217
00:13:26,080 --> 00:13:34,839
Speaker 1: look up. Okay, Okay, great, So yeah, I guess, Hey, mate,

218
00:13:34,840 --> 00:13:36,920
Speaker 1: shout out to this. I think this is a real

219
00:13:37,000 --> 00:13:39,280
Speaker 1: thing and I just didn't have it. Who were you

220
00:13:39,320 --> 00:13:42,880
Speaker 1: shout up to? Na, Mama's shout. I'm growing up in

221
00:13:43,000 --> 00:13:46,040
Speaker 1: l A. And I have not had fried ice cream,

222
00:13:46,040 --> 00:13:49,000
Speaker 1: so you should try it. It's delicious. Yeah. And finally,

223
00:13:49,040 --> 00:13:51,240
Speaker 1: what does a myth with something people take us? Okay,

224
00:13:51,280 --> 00:13:54,160
Speaker 1: So here I have some considerable um credit card debt.

225
00:13:54,200 --> 00:13:57,600
Speaker 1: It's in the teens, and a friend of mine was

226
00:13:57,640 --> 00:14:01,240
Speaker 1: telling me, here's what you do. You don't have to do.

227
00:14:02,080 --> 00:14:06,280
Speaker 1: You don't have to who's your friend? You always want

228
00:14:06,320 --> 00:14:09,280
Speaker 1: to take financial advice when it starts out with the phrase,

229
00:14:09,440 --> 00:14:11,960
Speaker 1: here's what you did. I have not good with this.

230
00:14:12,160 --> 00:14:16,640
Speaker 1: Greg Barriss, hilarious comedian Greg Barris, Here's here's what you're

231
00:14:16,640 --> 00:14:20,360
Speaker 1: gonna want to do. Um, don't declare bankruptcy, you know,

232
00:14:20,360 --> 00:14:23,800
Speaker 1: because that screws up for seven years. And um, what

233
00:14:23,840 --> 00:14:27,320
Speaker 1: you do is just don't pay it. And then after

234
00:14:27,400 --> 00:14:30,480
Speaker 1: seven years your debt is forgiven. And but you don't

235
00:14:30,480 --> 00:14:34,760
Speaker 1: suffer the consequences of bankruptcy in the meantime. So you

236
00:14:34,880 --> 00:14:39,440
Speaker 1: just dive bomb your credit. Um, I guess. But just

237
00:14:39,480 --> 00:14:43,240
Speaker 1: like it's already fuck. Yeah, do not have good credits.

238
00:14:43,240 --> 00:14:45,600
Speaker 1: They're just like burn it to the ground. And then

239
00:14:45,640 --> 00:14:49,000
Speaker 1: from there the new growth was sprout up. Yeah. When

240
00:14:49,000 --> 00:14:51,080
Speaker 1: we we just moved into a new apartment and we

241
00:14:51,120 --> 00:14:54,360
Speaker 1: had to both give our credit scores and then landlord

242
00:14:54,400 --> 00:14:57,880
Speaker 1: got back to us and they're like, this is bad. Yeah,

243
00:14:58,720 --> 00:15:02,480
Speaker 1: and then we he's like, your girlfriend's credit score was

244
00:15:02,480 --> 00:15:09,440
Speaker 1: a seven forty. Yeah, yours was an emoji. An emoji

245
00:15:09,480 --> 00:15:12,440
Speaker 1: I've never seen both of your specific mother crying and

246
00:15:12,640 --> 00:15:14,760
Speaker 1: somehow it thumbs down and a middle finger at the

247
00:15:14,840 --> 00:15:17,720
Speaker 1: same time. And then we said, yeah, what of it,

248
00:15:17,720 --> 00:15:23,120
Speaker 1: And they're like, yeah, well I guess yeah, yeah they did.

249
00:15:23,440 --> 00:15:27,120
Speaker 1: You're good for it though, right, credit check yeah right, yeah,

250
00:15:27,160 --> 00:15:30,840
Speaker 1: but like your pay yeah, because this is at water. Yeah,

251
00:15:30,840 --> 00:15:34,920
Speaker 1: you're good with the needle and thread. All right, let's

252
00:15:34,960 --> 00:15:40,080
Speaker 1: talk about the Mary Jane as the kids call it.

253
00:15:41,080 --> 00:15:44,480
Speaker 1: All the kids call it that, right, mouse about that?

254
00:15:44,800 --> 00:15:49,440
Speaker 1: Definitely not officer, tell me that that's what we Anyways,

255
00:15:49,480 --> 00:15:53,320
Speaker 1: a study examined a hundred and eighty three heterosexual couples

256
00:15:53,360 --> 00:15:57,280
Speaker 1: for some reason specifically and found some interesting things about

257
00:15:57,440 --> 00:16:02,080
Speaker 1: cannabis use and its effects on timocy in romantic relationships.

258
00:16:02,120 --> 00:16:05,760
Speaker 1: Where we're specifically talking about this because Denver is now

259
00:16:05,840 --> 00:16:13,880
Speaker 1: basically the new Amsterdam. It's shrooms, legal, mushrooms decriminalized. You

260
00:16:13,880 --> 00:16:17,200
Speaker 1: become the first city to effectively drenk criminalized mushrooms, contailing

261
00:16:17,320 --> 00:16:19,840
Speaker 1: second like psilocybin, but you still need to buy them

262
00:16:19,840 --> 00:16:26,240
Speaker 1: from like a weird dude. Uh, they're not. I was

263
00:16:26,320 --> 00:16:29,880
Speaker 1: just in Denver and the just doing a run of shows,

264
00:16:30,000 --> 00:16:32,600
Speaker 1: and then the first show someone was like, hey, do

265
00:16:32,640 --> 00:16:40,640
Speaker 1: you want this quarter of bud. It's like okay, It's like,

266
00:16:40,760 --> 00:16:42,680
Speaker 1: if you need any more while you're here, just ask me.

267
00:16:42,760 --> 00:16:44,640
Speaker 1: I'll give it to you. Like this should probably be

268
00:16:44,800 --> 00:16:49,200
Speaker 1: enough for four days, seven grands in four days. People

269
00:16:49,360 --> 00:16:52,160
Speaker 1: love giving comedians. We'd it seems to be like a

270
00:16:52,240 --> 00:16:55,520
Speaker 1: thing you're not enough. So if y'all see me, just

271
00:16:56,200 --> 00:16:58,880
Speaker 1: just so y'all know it's never enough, I'll smoke that

272
00:16:58,920 --> 00:17:01,760
Speaker 1: quarter right in front of you in one go. It's rude.

273
00:17:02,160 --> 00:17:03,960
Speaker 1: Oh you have to me, and I'll be like, you'll

274
00:17:04,000 --> 00:17:06,440
Speaker 1: smoke with me. We'll we'll buy a Phillies Titan and

275
00:17:06,480 --> 00:17:08,040
Speaker 1: we'll get a thing that's the thickness of a spray

276
00:17:08,080 --> 00:17:10,160
Speaker 1: paint can and we'll just take it to the face.

277
00:17:10,200 --> 00:17:12,399
Speaker 1: Well you know what I mean, gang, I will not

278
00:17:12,480 --> 00:17:14,520
Speaker 1: smoke and you will just look in a panic can

279
00:17:14,680 --> 00:17:20,120
Speaker 1: like Mary Jane huntin co to cops. Come dude, I'll

280
00:17:20,160 --> 00:17:23,240
Speaker 1: have a panic and think you don't like me. Yeah right,

281
00:17:23,280 --> 00:17:30,120
Speaker 1: I'm like high, just my contact high enough being able

282
00:17:30,200 --> 00:17:32,959
Speaker 1: to talk to thirty feet away he's texting me if

283
00:17:33,000 --> 00:17:37,440
Speaker 1: I don't like him, like where are you in the

284
00:17:37,480 --> 00:17:41,560
Speaker 1: parking structure? But anyway, in this study, they looked at

285
00:17:41,760 --> 00:17:44,240
Speaker 1: like a thirty day period and they asked all the

286
00:17:44,240 --> 00:17:47,240
Speaker 1: participants to keep track of all the times they were

287
00:17:47,280 --> 00:17:50,639
Speaker 1: smoking or using marijuana and as, and also tracking what

288
00:17:50,680 --> 00:17:54,000
Speaker 1: they call intimacy events like do an app? Did Nielsen

289
00:17:54,000 --> 00:17:58,320
Speaker 1: do the study? And then it says so at any time?

290
00:17:58,359 --> 00:18:01,080
Speaker 1: So what they describe as an intimate to see event

291
00:18:01,280 --> 00:18:03,600
Speaker 1: is any time yesterday did you have an interaction or

292
00:18:03,680 --> 00:18:07,439
Speaker 1: meaningful conversation with your partner that involved intimacy, love, caring,

293
00:18:07,520 --> 00:18:11,480
Speaker 1: or support. So it's not just like fucking kissing or

294
00:18:11,480 --> 00:18:13,520
Speaker 1: feeling on each other's about, you know, just a real

295
00:18:13,560 --> 00:18:17,240
Speaker 1: true intimacy connection. Um and so over the course of

296
00:18:17,280 --> 00:18:20,240
Speaker 1: this experiment they found a few things. So first, with

297
00:18:20,359 --> 00:18:24,720
Speaker 1: intimacy events, the participants on average reported experiencing an intimacy

298
00:18:24,760 --> 00:18:27,280
Speaker 1: event one out of every two days during the thirty

299
00:18:27,359 --> 00:18:29,440
Speaker 1: day period, and the events are more likely to occur

300
00:18:29,560 --> 00:18:32,960
Speaker 1: after five pm than before five pm h and women

301
00:18:33,000 --> 00:18:36,320
Speaker 1: reported significantly more intimacy events than men. And now in

302
00:18:36,400 --> 00:18:40,000
Speaker 1: terms of marijuana use, participants on average reported using marijuana

303
00:18:40,000 --> 00:18:41,879
Speaker 1: one out of every two days during the thirty day

304
00:18:41,920 --> 00:18:44,960
Speaker 1: to test period, and men reported significantly more marijuana used

305
00:18:44,960 --> 00:18:47,840
Speaker 1: than women. So the link here between those data sets.

306
00:18:47,840 --> 00:18:50,600
Speaker 1: What they found is intimacy events were significantly more likely

307
00:18:50,640 --> 00:18:53,320
Speaker 1: to occur within two hours of a marijuana use episode.

308
00:18:53,840 --> 00:18:56,280
Speaker 1: And this was true if both partners are even just

309
00:18:56,400 --> 00:19:00,080
Speaker 1: one partner engaged in marijuana use. So together they and

310
00:19:00,200 --> 00:19:02,280
Speaker 1: you know, there's a there's a little bit of they're

311
00:19:02,280 --> 00:19:05,639
Speaker 1: finding a little information here that maybe there is a connection.

312
00:19:05,680 --> 00:19:08,320
Speaker 1: You're not saying full stop like yo, get smoked out

313
00:19:08,320 --> 00:19:10,320
Speaker 1: and everything will be all good, because some people should not.

314
00:19:10,440 --> 00:19:13,040
Speaker 1: I cannot handle someone weed, and I can't imagine that

315
00:19:13,040 --> 00:19:16,440
Speaker 1: would help them become more intimate. But they say it's

316
00:19:16,520 --> 00:19:18,920
Speaker 1: different too, Like they did a similar study with alcohol

317
00:19:19,440 --> 00:19:22,720
Speaker 1: and the only time those the intimacy events were more

318
00:19:22,800 --> 00:19:26,480
Speaker 1: frequently was with both people, both partners were using the alcohol.

319
00:19:26,480 --> 00:19:29,040
Speaker 1: Like it couldn't just be one whereas this one it

320
00:19:29,119 --> 00:19:32,560
Speaker 1: could just be one person being faded and it's like, oh, yeah,

321
00:19:32,600 --> 00:19:35,800
Speaker 1: you're chilled out or whatever. Maybe you just feel more open. Yeah,

322
00:19:35,840 --> 00:19:38,399
Speaker 1: I mean this definition this is kind of a broad

323
00:19:38,440 --> 00:19:42,320
Speaker 1: definition of intimacy event. And I mean these are you know,

324
00:19:42,400 --> 00:19:45,800
Speaker 1: these are good things to have happening a relationship, but

325
00:19:46,200 --> 00:19:48,199
Speaker 1: you know, like that that's the sort of thing that

326
00:19:48,240 --> 00:19:52,119
Speaker 1: I feel like marijuana use or a lot of different

327
00:19:52,200 --> 00:19:57,840
Speaker 1: drug uses. Uh, narcotic, Uh, it's from God and it's

328
00:19:57,880 --> 00:20:01,359
Speaker 1: from the earth. Okay, my bad, my bad, vegetable and

329
00:20:03,359 --> 00:20:06,280
Speaker 1: I'm vegan. But I feel like it's good at like

330
00:20:06,359 --> 00:20:12,240
Speaker 1: making you maybe stop and like appreciate things around you more,

331
00:20:12,440 --> 00:20:15,760
Speaker 1: like whether that be somebody that you're in a relationship with,

332
00:20:16,440 --> 00:20:20,480
Speaker 1: or maybe it just shows like shared cultural norms to that,

333
00:20:20,560 --> 00:20:22,360
Speaker 1: like you might already kind of be on the same

334
00:20:22,400 --> 00:20:23,960
Speaker 1: page if you are to people who are like, yeah,

335
00:20:23,960 --> 00:20:27,200
Speaker 1: you smoke weed, Yeah, that's fine whatever, versus like I

336
00:20:27,520 --> 00:20:30,280
Speaker 1: know people who relationships were one person like absolutely not

337
00:20:30,640 --> 00:20:32,640
Speaker 1: and you smell like weed when you come home from

338
00:20:32,640 --> 00:20:37,320
Speaker 1: miles place. But that would still indicate increased likelihood of

339
00:20:37,440 --> 00:20:40,440
Speaker 1: an intimacy event, right, What do you mean? Because isn't

340
00:20:40,440 --> 00:20:43,840
Speaker 1: it even if one person uses marijuana, they're still more

341
00:20:43,880 --> 00:20:46,040
Speaker 1: likely to Yeah, yeah, yeah, I guess so. But I

342
00:20:46,040 --> 00:20:47,800
Speaker 1: guess I just mean, like if people don't have the

343
00:20:48,160 --> 00:20:51,480
Speaker 1: same sort of values around. It's use like if someone's

344
00:20:51,600 --> 00:20:54,720
Speaker 1: very like you know, dare brain and they're like, oh

345
00:20:54,880 --> 00:20:58,600
Speaker 1: drug weed so bad, you'll get whatever, then I think

346
00:20:58,880 --> 00:21:02,600
Speaker 1: already that person might not be very open minded. But

347
00:21:02,680 --> 00:21:04,640
Speaker 1: you know, like I'm not trying to box people in. Yeah,

348
00:21:04,720 --> 00:21:06,080
Speaker 1: all I know is if you smoke weed with me,

349
00:21:06,160 --> 00:21:11,360
Speaker 1: we'll be very intimate. Well as someone who's whose podcast

350
00:21:11,400 --> 00:21:15,600
Speaker 1: has a weed sponsor shout out to smart but um,

351
00:21:15,640 --> 00:21:18,960
Speaker 1: I would like to get high a lot, and fuck,

352
00:21:20,640 --> 00:21:25,520
Speaker 1: I got no problems. Um, yeah, no, of course, I mean, yeah,

353
00:21:25,520 --> 00:21:28,400
Speaker 1: it all makes sense after five that's usually when you're

354
00:21:28,440 --> 00:21:32,080
Speaker 1: smoking pot and having sex. You're usually not having sex

355
00:21:32,240 --> 00:21:40,960
Speaker 1: at work, usually after one. Yes, I have always like, um,

356
00:21:41,160 --> 00:21:44,760
Speaker 1: conflated all of these things together because right at the

357
00:21:44,840 --> 00:21:48,920
Speaker 1: time I saw or like started smoking and started having sex,

358
00:21:49,240 --> 00:21:52,560
Speaker 1: and I watched Annie Hall right before that, and she

359
00:21:52,640 --> 00:21:55,680
Speaker 1: has to get high every time they have sex, which

360
00:21:55,720 --> 00:22:01,080
Speaker 1: makes sense because it's woody out and um. But so

361
00:22:01,320 --> 00:22:04,119
Speaker 1: that that thought has like never left my brain, and

362
00:22:04,240 --> 00:22:08,040
Speaker 1: I've always thought that that we that weed always helps sex,

363
00:22:08,760 --> 00:22:13,439
Speaker 1: and as an everyday smoker, I'm rarely having sex without weed,

364
00:22:14,600 --> 00:22:20,840
Speaker 1: and when I do, it's still great. All right, So

365
00:22:21,080 --> 00:22:23,800
Speaker 1: good you know, how do you bring my girlfriend in here? Alright, great,

366
00:22:24,160 --> 00:22:28,640
Speaker 1: that's a flesh light. Her name is Lyon, her name

367
00:22:28,680 --> 00:22:32,080
Speaker 1: is Tengga. Alright, we're gonna take a quick break. We'll

368
00:22:32,080 --> 00:22:46,720
Speaker 1: be right back. And we're back. And there's some disturbing

369
00:22:46,800 --> 00:22:50,080
Speaker 1: chick going on with reproductive rights in the United States

370
00:22:50,160 --> 00:22:55,840
Speaker 1: right now, specifically in Ohio, Georgia, Mississippi, Kentucky, Iowa, and

371
00:22:56,160 --> 00:22:59,439
Speaker 1: North Dakota and putting Missouri too. Yeah, it is on

372
00:22:59,480 --> 00:23:05,120
Speaker 1: its way. Yeah. So basically those six states have for

373
00:23:05,840 --> 00:23:10,680
Speaker 1: all intensive purposes like banned abortion through these heartbeat bills

374
00:23:10,720 --> 00:23:13,000
Speaker 1: that they just and they call them cute. See heartbeat bills,

375
00:23:13,200 --> 00:23:15,360
Speaker 1: you know that are like but by the time there

376
00:23:15,440 --> 00:23:19,040
Speaker 1: is a heartbeat in a fetus, most people aren't even

377
00:23:19,040 --> 00:23:21,720
Speaker 1: aware that they're pregnant. So it's essentially like, you know,

378
00:23:21,760 --> 00:23:25,600
Speaker 1: it's a very very troubling thing because when you listen,

379
00:23:25,640 --> 00:23:27,920
Speaker 1: when you even just look at the laws that are happening,

380
00:23:28,160 --> 00:23:30,720
Speaker 1: like we are, I mean, my god, we're going to

381
00:23:30,800 --> 00:23:33,480
Speaker 1: this dystopian world that I don't know what to say

382
00:23:33,520 --> 00:23:35,800
Speaker 1: as a man, aside from my heart, it just I

383
00:23:35,880 --> 00:23:40,520
Speaker 1: cannot imagine. For example, right in Georgia, which is a

384
00:23:40,560 --> 00:23:44,439
Speaker 1: particularly disgusting bill. It's criminalizing abortions. People can go to

385
00:23:44,560 --> 00:23:47,440
Speaker 1: jail for seeking an abortion, Doctors can go to jail

386
00:23:47,480 --> 00:23:50,160
Speaker 1: for performing them after six weeks, and it will even

387
00:23:50,160 --> 00:23:52,119
Speaker 1: be illegal to go to another state to obtain an

388
00:23:52,160 --> 00:23:55,800
Speaker 1: abortion or even help someone else to do so. So, like,

389
00:23:55,960 --> 00:23:57,800
Speaker 1: I don't know how else you can say that is

390
00:23:57,840 --> 00:24:01,080
Speaker 1: anything but a full on a salt on the reproductive

391
00:24:01,160 --> 00:24:04,600
Speaker 1: rights of people's, like even if you're trying to help somebody,

392
00:24:05,200 --> 00:24:07,320
Speaker 1: and even in a lot of these bills, they don't

393
00:24:07,320 --> 00:24:08,920
Speaker 1: even have you know, a lot of these pro life

394
00:24:08,920 --> 00:24:11,320
Speaker 1: people be like, Okay, well, of course we support abortion

395
00:24:11,320 --> 00:24:14,240
Speaker 1: in the in the case of rape or incest, but

396
00:24:14,400 --> 00:24:17,760
Speaker 1: in a lot of right, but at least I guess

397
00:24:17,760 --> 00:24:20,199
Speaker 1: I'm more thinking about like presidential debates. That's usually when

398
00:24:20,200 --> 00:24:21,760
Speaker 1: you would hear that. That's when like, you know, the

399
00:24:21,760 --> 00:24:23,400
Speaker 1: mit romneys of the world would be like on pro

400
00:24:23,520 --> 00:24:26,560
Speaker 1: life but in case of rape and incest obviously. Well

401
00:24:26,600 --> 00:24:29,160
Speaker 1: in Ohio, right, there was this news story that came

402
00:24:29,160 --> 00:24:31,639
Speaker 1: out about, you know, and this is a very just

403
00:24:31,720 --> 00:24:36,200
Speaker 1: disturbing story, um about this eleven year old girl who

404
00:24:36,520 --> 00:24:40,679
Speaker 1: was raped by twenty year old man, impregnated and because

405
00:24:40,720 --> 00:24:44,639
Speaker 1: of the bill in Ohio can't seek an abortion and

406
00:24:44,880 --> 00:24:47,600
Speaker 1: there because there are no exceptions in that state. And

407
00:24:47,640 --> 00:24:50,600
Speaker 1: when with this law, they are essentially will be forcing

408
00:24:50,600 --> 00:24:53,440
Speaker 1: this eleven year old to carry the child to term.

409
00:24:53,560 --> 00:24:56,679
Speaker 1: And you know, obviously people are going to sue these

410
00:24:56,840 --> 00:24:59,119
Speaker 1: these states to hell, but I think that's basically the

411
00:24:59,160 --> 00:25:02,560
Speaker 1: plan because in Roe versus Wade, it said no state

412
00:25:02,640 --> 00:25:06,159
Speaker 1: can outlaw abortions before the fetus is determined to be viable,

413
00:25:06,200 --> 00:25:09,399
Speaker 1: which is somewhere around twenty four weeks. But but in

414
00:25:09,440 --> 00:25:12,600
Speaker 1: these other states they're still passing these six week abortion

415
00:25:12,680 --> 00:25:15,840
Speaker 1: bands basically so that these lawsuits will work their way

416
00:25:15,880 --> 00:25:19,400
Speaker 1: to the Supreme Court and eventually just overturned Roll versus Wade.

417
00:25:19,640 --> 00:25:22,000
Speaker 1: And when you when you look at the how conservative

418
00:25:22,040 --> 00:25:24,680
Speaker 1: this court is, that is a very real threat to

419
00:25:25,080 --> 00:25:29,760
Speaker 1: reproductive rights. And are these like the super conservative local

420
00:25:30,160 --> 00:25:34,360
Speaker 1: justices that we've been hearing that the conservatives, like under

421
00:25:34,400 --> 00:25:37,320
Speaker 1: the Trump administration have just been like kind of lamming through.

422
00:25:37,520 --> 00:25:39,560
Speaker 1: In the future, those will be the kinds of judges

423
00:25:39,640 --> 00:25:41,720
Speaker 1: who will hear those cases. I know in Kentucky there

424
00:25:41,760 --> 00:25:45,480
Speaker 1: was an Obama pointee who did actually block it, but

425
00:25:45,720 --> 00:25:48,480
Speaker 1: it's still you know, there are many ways to take

426
00:25:48,520 --> 00:25:50,720
Speaker 1: to get these bills to eventually the Supreme Court, which

427
00:25:50,760 --> 00:25:53,200
Speaker 1: is ultimately that's just the strategy at this point because

428
00:25:53,400 --> 00:25:57,000
Speaker 1: the Supreme Court is completely stacked or you know, it's

429
00:25:57,160 --> 00:26:02,520
Speaker 1: tilted towards conservatives. UM And in Georgia, you know, Coca Cola, Amazon,

430
00:26:02,960 --> 00:26:06,240
Speaker 1: the Writer's Guild, they were saying like they would leave

431
00:26:06,280 --> 00:26:10,040
Speaker 1: the state if quote unquote Governor Kemp signed the bill

432
00:26:10,080 --> 00:26:12,080
Speaker 1: into law. The a c l U s they're going

433
00:26:12,119 --> 00:26:15,760
Speaker 1: to sue. But it's just it's just troubling. It's so

434
00:26:15,920 --> 00:26:20,720
Speaker 1: disturbing to think that these people have no ability to

435
00:26:20,840 --> 00:26:23,080
Speaker 1: determine what they want to do with their own bodies,

436
00:26:23,200 --> 00:26:25,679
Speaker 1: especially in the case of I mean, I mean, obviously

437
00:26:25,680 --> 00:26:27,640
Speaker 1: this is an extreme example, but an eleven year old

438
00:26:27,720 --> 00:26:32,840
Speaker 1: child who is going to have to relive this trauma

439
00:26:33,119 --> 00:26:35,679
Speaker 1: for the at least the next nine months or however

440
00:26:35,720 --> 00:26:37,960
Speaker 1: long it takes for this pregnancy to go on then

441
00:26:38,000 --> 00:26:40,080
Speaker 1: to have the child. You know, there are a lot

442
00:26:40,080 --> 00:26:42,560
Speaker 1: of organizations that you can donate to and look into

443
00:26:42,640 --> 00:26:46,439
Speaker 1: because it's this is going to be a very uh,

444
00:26:46,560 --> 00:26:48,800
Speaker 1: it's a it's a very significant issue that I think

445
00:26:48,880 --> 00:26:50,199
Speaker 1: a lot of people need to keep their eyes on

446
00:26:50,240 --> 00:26:51,760
Speaker 1: because these are the kinds of rights that are just

447
00:26:51,800 --> 00:26:55,240
Speaker 1: slipping through our fingers right now. I mean, and this

448
00:26:55,320 --> 00:27:00,120
Speaker 1: is reproductive rights especially, are are such an important thing

449
00:27:00,160 --> 00:27:02,040
Speaker 1: and it's it's wild to think too. When a lot

450
00:27:02,040 --> 00:27:05,880
Speaker 1: of people are actually pulled about the heartbeat bill, they're like, oh,

451
00:27:06,000 --> 00:27:08,000
Speaker 1: I think that makes sense. So if it's a heartbeat,

452
00:27:08,000 --> 00:27:10,000
Speaker 1: then yeah. But when they actually explained that it's like

453
00:27:10,040 --> 00:27:12,320
Speaker 1: six weeks and the time it takes to even realize

454
00:27:12,320 --> 00:27:15,520
Speaker 1: you're pregnant, there's a significant amount of people go, oh, actually, no, no, no,

455
00:27:15,600 --> 00:27:17,879
Speaker 1: that that that's terrible. And it's not like these bills

456
00:27:18,320 --> 00:27:21,000
Speaker 1: represented like do you want to kill a baby with

457
00:27:21,080 --> 00:27:24,480
Speaker 1: a heartbeat? Right? Right? No, right, And it's excellent, but

458
00:27:24,520 --> 00:27:26,320
Speaker 1: it's also like, oh, but by the time these people

459
00:27:26,320 --> 00:27:28,159
Speaker 1: find out, there past the window where they could have

460
00:27:28,200 --> 00:27:30,680
Speaker 1: an abortion anyway. So it's kind of this, you know,

461
00:27:30,760 --> 00:27:34,960
Speaker 1: catch twenty two. So can people other than in Georgia

462
00:27:35,080 --> 00:27:37,960
Speaker 1: go to other states to seek them? It depends on

463
00:27:38,000 --> 00:27:39,760
Speaker 1: the state laws. But in Georgia, I mean yeah, like

464
00:27:39,800 --> 00:27:41,720
Speaker 1: they will like they will throw the book at you,

465
00:27:41,760 --> 00:27:45,800
Speaker 1: and not to mention, they will even investigate miscarriages Jesus.

466
00:27:46,440 --> 00:27:50,320
Speaker 1: So so if they determined that a pregnant person did

467
00:27:50,359 --> 00:27:54,400
Speaker 1: something that led to the miscarriage, they would be jailed. No, right,

468
00:27:56,040 --> 00:27:59,560
Speaker 1: And I mean, I don't know how you are going

469
00:27:59,600 --> 00:28:04,919
Speaker 1: to criminally investigate someone having a miscarriage, but these are

470
00:28:04,960 --> 00:28:09,040
Speaker 1: like a trauma you go through having a miscarriage, and

471
00:28:09,040 --> 00:28:14,439
Speaker 1: then you have to like you have the cops investigating,

472
00:28:14,600 --> 00:28:17,280
Speaker 1: like what whether he thinks you did the right with

473
00:28:17,359 --> 00:28:20,479
Speaker 1: the Bible in his hands? Yeah, I don't. Again, So

474
00:28:20,520 --> 00:28:24,439
Speaker 1: these are this is what's going on, and it's definitely

475
00:28:24,480 --> 00:28:26,720
Speaker 1: spreading through different states. But I mean, this is the

476
00:28:26,800 --> 00:28:29,440
Speaker 1: kind of thing that a lot of people were worried about.

477
00:28:29,520 --> 00:28:31,560
Speaker 1: And this is what you know when the second Breake

478
00:28:31,640 --> 00:28:34,159
Speaker 1: haven't not gone on the Supreme Court and everyone's like,

479
00:28:34,200 --> 00:28:36,520
Speaker 1: this is what's gonna happen. They're going to find their

480
00:28:36,520 --> 00:28:38,600
Speaker 1: way to do it, and they go, Okay, let's enact

481
00:28:38,640 --> 00:28:41,640
Speaker 1: these laws. They're gonna obviously sue, we'll argue this ship

482
00:28:41,640 --> 00:28:44,880
Speaker 1: to the Supreme Court. And you know, Neil, Gorsuch and

483
00:28:44,880 --> 00:28:51,520
Speaker 1: Brick haven't all give conservatives a w We'll see Wow, Roberts.

484
00:28:52,040 --> 00:28:56,200
Speaker 1: Hopefully Roberts is the new Kennedy. You'd hope. Sometimes when

485
00:28:56,240 --> 00:28:59,600
Speaker 1: I do stand up in a conservative area. I'll open

486
00:28:59,680 --> 00:29:02,240
Speaker 1: by saying some points about how liberal I am, just

487
00:29:02,280 --> 00:29:06,400
Speaker 1: so they're not surprised when it happens. And uh, I

488
00:29:06,520 --> 00:29:08,800
Speaker 1: used to have a joke where I say that I

489
00:29:08,840 --> 00:29:12,959
Speaker 1: think abortion should be mandatory in all cases of pregnancy.

490
00:29:14,640 --> 00:29:17,040
Speaker 1: I couldn't be more pro abortion. But I hope everyone

491
00:29:17,080 --> 00:29:20,880
Speaker 1: gets one early and often, and I hope that one

492
00:29:21,000 --> 00:29:27,400
Speaker 1: day they let us men have them too. That's my Yeah.

493
00:29:29,400 --> 00:29:34,080
Speaker 1: Some guys like, hey, actually at the gym right now,

494
00:29:35,400 --> 00:29:41,040
Speaker 1: you say let them do them or let them But well, again,

495
00:29:41,600 --> 00:29:45,120
Speaker 1: please please keep your eye on this because this is

496
00:29:45,160 --> 00:29:48,160
Speaker 1: something that is I mean, I yeah, Well, we'll have

497
00:29:48,200 --> 00:29:50,640
Speaker 1: some links to some organizations you can kind of check

498
00:29:50,640 --> 00:29:52,959
Speaker 1: out to stay up to date with everything that's going

499
00:29:53,000 --> 00:29:55,800
Speaker 1: I mean, what just what a normal everyday problem, you know,

500
00:29:55,920 --> 00:29:58,960
Speaker 1: to criminal you know, like I've never had an abortion,

501
00:29:59,000 --> 00:30:02,800
Speaker 1: but I've bought some day after pills in my day

502
00:30:03,040 --> 00:30:04,800
Speaker 1: right to have the money to do it, and some

503
00:30:04,840 --> 00:30:08,280
Speaker 1: people don't really sad. Yeah, And then when you think

504
00:30:08,280 --> 00:30:10,760
Speaker 1: about people who might not even have the support network

505
00:30:10,880 --> 00:30:12,800
Speaker 1: where they're like there's no way they can get out

506
00:30:12,840 --> 00:30:15,480
Speaker 1: of their county or their town or their state and

507
00:30:15,720 --> 00:30:18,240
Speaker 1: are in a terrible situation and then on top of it,

508
00:30:18,320 --> 00:30:22,480
Speaker 1: you have these fucking ghouls uh in their state houses

509
00:30:22,520 --> 00:30:24,440
Speaker 1: and acting these laws. I mean in Georgia, like that

510
00:30:24,480 --> 00:30:27,480
Speaker 1: bill only passed by like two votes, and like that's

511
00:30:27,480 --> 00:30:31,000
Speaker 1: where you realize even in these state houses, what these

512
00:30:31,040 --> 00:30:34,480
Speaker 1: majorities mean for conservatives or liberals or whatever like. These

513
00:30:34,520 --> 00:30:36,000
Speaker 1: are the kinds of things that are being fought on

514
00:30:36,040 --> 00:30:38,120
Speaker 1: the state level that are that end up going to

515
00:30:38,120 --> 00:30:41,480
Speaker 1: the Supreme Court and affecting things nationally. But you know,

516
00:30:42,320 --> 00:30:45,880
Speaker 1: the marathon continues. While we're scaring the ship out of you.

517
00:30:46,080 --> 00:30:50,960
Speaker 1: Let's look at a dystopia overseas in China, um because

518
00:30:51,080 --> 00:30:54,440
Speaker 1: the stories that the New York Times podcast The Daily

519
00:30:55,000 --> 00:30:58,200
Speaker 1: did on the Chinese security state earlier this week are

520
00:30:58,840 --> 00:31:03,479
Speaker 1: pretty wild. So basically, we talked last year about how

521
00:31:03,560 --> 00:31:06,920
Speaker 1: China is at the forefront of facial recognition technology because

522
00:31:06,960 --> 00:31:11,880
Speaker 1: they're able to force every one of their billion citizens

523
00:31:11,920 --> 00:31:15,480
Speaker 1: to submit for a facial scan. So basically their algorithm

524
00:31:15,520 --> 00:31:19,640
Speaker 1: has just is way sharper because it has so many

525
00:31:19,680 --> 00:31:23,640
Speaker 1: more faces that have been used as inputs, and they're

526
00:31:23,720 --> 00:31:28,280
Speaker 1: using that power for some like really dark ship. Right now,

527
00:31:28,560 --> 00:31:34,120
Speaker 1: there's this minority group of Muslims in China known as

528
00:31:34,160 --> 00:31:39,720
Speaker 1: the weaker population, and there was a like basically kind

529
00:31:39,760 --> 00:31:44,040
Speaker 1: of a race riot back in two thousand nine. That was,

530
00:31:44,440 --> 00:31:48,360
Speaker 1: you know, two people died, and China responded to that

531
00:31:48,560 --> 00:31:52,720
Speaker 1: sort of in the uh they over responded to it

532
00:31:52,840 --> 00:31:57,960
Speaker 1: and have been basically persecuting the weakers ever since UM

533
00:31:58,440 --> 00:32:03,360
Speaker 1: and the region is now like they interviewed this reporter

534
00:32:03,560 --> 00:32:06,200
Speaker 1: who was who had like gone to the region, and

535
00:32:06,360 --> 00:32:10,320
Speaker 1: you know, he's followed everywhere by People's Republic of China

536
00:32:10,680 --> 00:32:16,440
Speaker 1: UM officials who are just like constantly following any foreign people.

537
00:32:16,480 --> 00:32:19,720
Speaker 1: But he said, it's a surreal combination of like you

538
00:32:19,760 --> 00:32:22,760
Speaker 1: have mud huts and generally like a city escape that

539
00:32:22,960 --> 00:32:26,440
Speaker 1: looks like it's from hundreds of years ago, except every

540
00:32:26,440 --> 00:32:29,760
Speaker 1: other building has these like extremely high tech People's Republic

541
00:32:29,840 --> 00:32:34,120
Speaker 1: of China camera hanging on it, and they have they

542
00:32:34,160 --> 00:32:36,400
Speaker 1: did a Fox medical scan a couple of years ago

543
00:32:36,960 --> 00:32:41,440
Speaker 1: where the government bought wagers in and got blood samples

544
00:32:41,480 --> 00:32:45,960
Speaker 1: and scanned their faces in order to basically fully document

545
00:32:46,080 --> 00:32:49,600
Speaker 1: like their d n A and figure out like who's

546
00:32:49,680 --> 00:32:52,760
Speaker 1: related to who, so they can basically even if you

547
00:32:53,000 --> 00:32:56,920
Speaker 1: do something, uh, even if you escape after like doing

548
00:32:56,920 --> 00:32:59,479
Speaker 1: something that pizzles them off. They will be like, Okay,

549
00:32:59,520 --> 00:33:02,920
Speaker 1: well every member of your extended family tree is now

550
00:33:03,240 --> 00:33:07,080
Speaker 1: in a prison camp. So it's like a dark, fucked

551
00:33:07,160 --> 00:33:09,920
Speaker 1: up twenty three and me situation. And we have we've

552
00:33:10,080 --> 00:33:12,360
Speaker 1: mapped out all your your genetic sequence, and we we

553
00:33:12,360 --> 00:33:15,680
Speaker 1: we actually already know who everyone's who's related to you. Yeah.

554
00:33:15,760 --> 00:33:18,760
Speaker 1: So it's the most power that any authority has ever

555
00:33:18,880 --> 00:33:22,280
Speaker 1: had over a massive number of people because they have

556
00:33:22,520 --> 00:33:26,200
Speaker 1: these cameras that are just everywhere that can immediately identify

557
00:33:26,280 --> 00:33:30,560
Speaker 1: you because of their facial recognition technology. And ever since

558
00:33:30,600 --> 00:33:34,360
Speaker 1: two thousand and eight and the Beijing Olympics, they've been

559
00:33:34,840 --> 00:33:38,160
Speaker 1: you know, they used that as an opportunity to sort

560
00:33:38,200 --> 00:33:41,840
Speaker 1: of show off this technology that they have, and now

561
00:33:41,840 --> 00:33:45,560
Speaker 1: it's starting to appear in like Venezuela, Ecuador and just

562
00:33:45,680 --> 00:33:50,000
Speaker 1: other countries around the world. They basically are selling it

563
00:33:50,080 --> 00:33:55,800
Speaker 1: to other countries that are interested in being autocratic. So

564
00:33:56,240 --> 00:33:58,760
Speaker 1: as as funked up as our government is, like, it

565
00:33:58,800 --> 00:34:02,280
Speaker 1: could be way more sucked up if we eventually we're

566
00:34:02,320 --> 00:34:05,840
Speaker 1: headed there. Yeah, once they start using this technology, what

567
00:34:05,880 --> 00:34:08,920
Speaker 1: are some more applications of this technology? Because that the

568
00:34:09,000 --> 00:34:11,359
Speaker 1: one that you gave where they so they know who

569
00:34:11,440 --> 00:34:13,319
Speaker 1: you're staying the family is. But like, isn't that kind

570
00:34:13,320 --> 00:34:15,879
Speaker 1: of information kind of easier to get? Yeah, I'm sure,

571
00:34:15,920 --> 00:34:17,680
Speaker 1: but I think if if you wanted to lie or

572
00:34:17,719 --> 00:34:20,919
Speaker 1: something and claim you were someone else, they could genetically

573
00:34:20,960 --> 00:34:23,600
Speaker 1: be like, no, you're this person and you're related to

574
00:34:23,640 --> 00:34:28,359
Speaker 1: these people. Yeah, they just have everybody mapped and they

575
00:34:28,400 --> 00:34:31,960
Speaker 1: know exactly where you are. It's in real time. It's

576
00:34:32,040 --> 00:34:36,120
Speaker 1: just like a higher level of just knowledge. So they

577
00:34:36,160 --> 00:34:39,120
Speaker 1: just have a group of oppressed, like a Muslim minority

578
00:34:39,160 --> 00:34:43,520
Speaker 1: population with that's just surveilled to ship who are they're

579
00:34:43,520 --> 00:34:48,160
Speaker 1: putting in giant prison camps, like very like concentration, Which

580
00:34:48,200 --> 00:34:50,560
Speaker 1: is so funny because the president is then he was

581
00:34:50,600 --> 00:34:52,440
Speaker 1: like trying to get other countries to put pressure on

582
00:34:52,560 --> 00:34:56,200
Speaker 1: China to deal with the weakers more compassionately, and it's like, oh, wow,

583
00:34:56,239 --> 00:34:59,720
Speaker 1: you so you care about oppressed Muslim population. Yeah, that's interesting,

584
00:34:59,880 --> 00:35:02,120
Speaker 1: or that just for your trade war, because right now

585
00:35:02,400 --> 00:35:05,279
Speaker 1: he's about to take up the I mean, as of now,

586
00:35:05,320 --> 00:35:07,400
Speaker 1: I think that another set of tariffs are about to

587
00:35:07,480 --> 00:35:11,800
Speaker 1: kick in um and you know that that the trade

588
00:35:12,280 --> 00:35:15,080
Speaker 1: quote unquote tarrade war is not doing so well for

589
00:35:15,160 --> 00:35:17,520
Speaker 1: a lot of people on both sides. As much as

590
00:35:17,520 --> 00:35:20,279
Speaker 1: Trump wants to claim like total victory on that, and

591
00:35:20,360 --> 00:35:22,680
Speaker 1: even like the Vice premier or someone from a like

592
00:35:22,719 --> 00:35:26,000
Speaker 1: a Chinese economic think tank was sort of like, They're like, really,

593
00:35:26,000 --> 00:35:27,839
Speaker 1: does he think he's winning the war, because every day

594
00:35:27,880 --> 00:35:30,200
Speaker 1: he's trying to pressure the Fed to lower interest rates.

595
00:35:30,680 --> 00:35:32,680
Speaker 1: He's like, oh, the economy is doing that hot, but

596
00:35:32,800 --> 00:35:37,560
Speaker 1: you are constantly insisting on lowering interest rates. It's you know,

597
00:35:38,040 --> 00:35:42,800
Speaker 1: he uh. Bloomberg said that the president wiped President Trump

598
00:35:42,840 --> 00:35:47,240
Speaker 1: wiped one point five trillion dollars off of the Wall

599
00:35:47,239 --> 00:35:50,479
Speaker 1: Street books with a single tweet the other day, Um

600
00:35:50,600 --> 00:35:54,160
Speaker 1: which one. It was the one about Chinese trade policy

601
00:35:54,239 --> 00:35:57,200
Speaker 1: and basically saying like it hasn't been working. And oh,

602
00:35:57,239 --> 00:35:58,640
Speaker 1: the one who's like, do they want to wait it

603
00:35:58,640 --> 00:36:00,640
Speaker 1: out for a Biden or some when he was like,

604
00:36:00,640 --> 00:36:02,200
Speaker 1: they want to trade with that guy. They're trying to

605
00:36:02,280 --> 00:36:04,880
Speaker 1: ruin my really said the ten percent tariffs will go

606
00:36:04,920 --> 00:36:10,160
Speaker 1: up to on Friday. Dollars of additional goods sent to

607
00:36:10,280 --> 00:36:13,080
Speaker 1: us by China remain on taxt but will be shortly

608
00:36:13,120 --> 00:36:16,200
Speaker 1: at a rate of It was a really long tweet,

609
00:36:16,320 --> 00:36:19,520
Speaker 1: and even then it was thirteen billion dollars for each

610
00:36:19,800 --> 00:36:23,560
Speaker 1: of the two words in the tweet is what he

611
00:36:23,640 --> 00:36:26,759
Speaker 1: cost banks. And I'm not too broken up about Wall

612
00:36:26,800 --> 00:36:29,200
Speaker 1: Street bankers losing money though, but in so far as

613
00:36:29,280 --> 00:36:32,080
Speaker 1: wall St pulls a lot of weight in this country,

614
00:36:32,120 --> 00:36:37,399
Speaker 1: it seems like they would be not thrilled. Right one.

615
00:36:37,480 --> 00:36:40,240
Speaker 1: It just all fits into his whole policy. Just bluff

616
00:36:40,480 --> 00:36:43,120
Speaker 1: until somebody pulls your card, and then you fucking retreat

617
00:36:43,280 --> 00:36:46,759
Speaker 1: and you're like, it's never worked, and we're seeing that

618
00:36:46,800 --> 00:36:49,120
Speaker 1: happened over and over. He did that with his own businesses,

619
00:36:49,840 --> 00:36:52,200
Speaker 1: where they were saying like he would heavily invest in

620
00:36:52,239 --> 00:36:54,799
Speaker 1: a company, bluff like he was going to take over,

621
00:36:55,400 --> 00:36:58,000
Speaker 1: drive the stock price up, and then sell just off

622
00:36:58,040 --> 00:37:00,680
Speaker 1: of the you know, notion that he might take over, right,

623
00:37:00,800 --> 00:37:04,480
Speaker 1: and then then he would get ten dollars right on

624
00:37:04,560 --> 00:37:06,400
Speaker 1: top of that. And then even then, like even the

625
00:37:06,440 --> 00:37:09,480
Speaker 1: foreign policy, the same thing. Pull up with your chest out, Oh, Kim,

626
00:37:09,560 --> 00:37:11,640
Speaker 1: John Wun, you better not do this. Oh he he

627
00:37:11,640 --> 00:37:14,960
Speaker 1: oh he heard me cut to a short range missile

628
00:37:15,080 --> 00:37:17,600
Speaker 1: test launch. And then he's like, oh, well, the thing

629
00:37:17,719 --> 00:37:21,440
Speaker 1: is we agreed on long range missiles, not short range missiles,

630
00:37:21,480 --> 00:37:24,840
Speaker 1: so he still respects me. There's like, there's nothing to

631
00:37:26,080 --> 00:37:29,080
Speaker 1: suggests that there's any anything about his leadership is effective.

632
00:37:29,160 --> 00:37:32,440
Speaker 1: And I mean we say this every fucking day, but yeah,

633
00:37:32,760 --> 00:37:37,239
Speaker 1: now we're we're in that part. Yeah. I mean it

634
00:37:37,320 --> 00:37:44,000
Speaker 1: seems like if people like us weren't so anti Trump,

635
00:37:44,040 --> 00:37:48,680
Speaker 1: that people who support him would maybe except that he's

636
00:37:48,680 --> 00:37:51,800
Speaker 1: a funk up. But they're like doing it because culture

637
00:37:52,520 --> 00:37:56,719
Speaker 1: the culture war. Yeah, like he's so bad at his job. Yeah,

638
00:37:56,760 --> 00:37:58,239
Speaker 1: but I think for at the end of the day, right,

639
00:37:58,320 --> 00:38:00,719
Speaker 1: like the his funk ups haven't really at them in

640
00:38:00,760 --> 00:38:03,200
Speaker 1: a way that they can really be like mo fuck

641
00:38:04,160 --> 00:38:07,560
Speaker 1: because it's it's such a slow boil into being destitute

642
00:38:07,640 --> 00:38:10,480
Speaker 1: or whatever that you can still again we like we said,

643
00:38:10,840 --> 00:38:14,280
Speaker 1: the same reasoning is still working, like pointing the finger

644
00:38:14,360 --> 00:38:16,399
Speaker 1: at marginalized people and like, oh, that's the reason why

645
00:38:16,400 --> 00:38:17,960
Speaker 1: I have shipped. See, that's why we got to be

646
00:38:18,000 --> 00:38:20,200
Speaker 1: mean to them. Like that's still working. So I think

647
00:38:20,280 --> 00:38:23,600
Speaker 1: until that that strategy or that rhetoric doesn't work on

648
00:38:23,640 --> 00:38:25,960
Speaker 1: them anymore and they realize, oh wait, it's this is

649
00:38:25,960 --> 00:38:29,200
Speaker 1: a function of capitalism. When I'm being crushed by or whatever,

650
00:38:29,280 --> 00:38:30,960
Speaker 1: and that's why I don't have anything I can I

651
00:38:31,200 --> 00:38:33,200
Speaker 1: don't longer have to blame people who have less than me.

652
00:38:34,239 --> 00:38:36,640
Speaker 1: Maybe things will change then, but I think until now,

653
00:38:36,640 --> 00:38:39,160
Speaker 1: it's just easy to just go to their little magga rallies,

654
00:38:39,360 --> 00:38:41,399
Speaker 1: put their hats on screen, rah rah rah, make jokes

655
00:38:41,440 --> 00:38:46,480
Speaker 1: about shooting immigrants and keep it moving right. All right, Well,

656
00:38:46,520 --> 00:38:49,080
Speaker 1: an honor of Mother's Day, guys, we want to give

657
00:38:49,080 --> 00:38:52,560
Speaker 1: you one piece of good news. Craft looking out for

658
00:38:52,640 --> 00:38:56,320
Speaker 1: your mom. Yeah, Craft Foods. You know, they're a food company,

659
00:38:56,400 --> 00:39:01,120
Speaker 1: so they're not evil every come. It's it's so wild.

660
00:39:01,200 --> 00:39:03,000
Speaker 1: Do you look at like everything that's actually a Craft

661
00:39:03,000 --> 00:39:09,880
Speaker 1: Foods brant. But they are giving mothers opportunity for a

662
00:39:09,880 --> 00:39:14,400
Speaker 1: one reimbursement for childcare, to give moms a much needed

663
00:39:14,440 --> 00:39:17,040
Speaker 1: Mother's Day gift. Yeah, and this is getting picked up

664
00:39:17,080 --> 00:39:20,480
Speaker 1: all over the place. Yeah, the thing is right. It's

665
00:39:20,520 --> 00:39:23,520
Speaker 1: so generous of them, right. You know, they put fifty

666
00:39:23,640 --> 00:39:26,960
Speaker 1: thousand dollars into this pool for the mothers of America

667
00:39:27,040 --> 00:39:32,040
Speaker 1: to get reimbursed for childcare. Thousands Crafts dollars. So I

668
00:39:32,040 --> 00:39:33,640
Speaker 1: couldn't tell if this was an ad you were doing

669
00:39:33,840 --> 00:39:40,120
Speaker 1: no face, because it's one of those things look like

670
00:39:40,160 --> 00:39:43,319
Speaker 1: it's a PR stunt. You're like, oh wow, Craft, you're

671
00:39:43,320 --> 00:39:45,640
Speaker 1: doing so great. Because there was a thing on care

672
00:39:45,719 --> 00:39:48,920
Speaker 1: dot com. I believe they did a a survey about

673
00:39:48,960 --> 00:39:51,800
Speaker 1: what mothers would really like, what we're like working moms,

674
00:39:51,800 --> 00:39:54,640
Speaker 1: just mothers actually want, just in general, not just on

675
00:39:54,640 --> 00:39:56,759
Speaker 1: one day, because you know, the emphasis have just been

676
00:39:56,800 --> 00:39:58,880
Speaker 1: like and here's the one day for moms and then

677
00:39:58,920 --> 00:40:01,960
Speaker 1: after that, let's go back to like our heteronormal gender

678
00:40:01,960 --> 00:40:05,680
Speaker 1: normative thing of like you don't even handle it. Um So,

679
00:40:06,040 --> 00:40:08,239
Speaker 1: the things that they were asking for like that, we're

680
00:40:08,440 --> 00:40:11,000
Speaker 1: that we're scoring very highly in the survey was uh

681
00:40:11,080 --> 00:40:12,799
Speaker 1: two for people like, look, if you want to help

682
00:40:12,800 --> 00:40:16,000
Speaker 1: your mom's out, cook your own damn meals, more, clean

683
00:40:16,080 --> 00:40:21,040
Speaker 1: up after yourself more, let moms sleep in, be courteous,

684
00:40:21,719 --> 00:40:25,359
Speaker 1: which is so sad, fucking respect your mom's come on now. Uh,

685
00:40:25,400 --> 00:40:27,560
Speaker 1: and then give them more opportunities for a lone time.

686
00:40:27,560 --> 00:40:30,399
Speaker 1: And that's where Craft was like, Oh, here's an there's

687
00:40:30,440 --> 00:40:33,600
Speaker 1: our opportunity to just make ourselves look like we're really

688
00:40:33,640 --> 00:40:37,879
Speaker 1: down with giving people childcare. Um So, I mean, first

689
00:40:37,920 --> 00:40:39,400
Speaker 1: of all, when you even look at the cost of

690
00:40:39,480 --> 00:40:42,040
Speaker 1: childcare and how much people are spending on childcare in

691
00:40:42,040 --> 00:40:45,960
Speaker 1: this country, Uh, it is a huge issue and we

692
00:40:46,040 --> 00:40:50,120
Speaker 1: don't actually even we're not taking it seriously enough, thinking

693
00:40:50,160 --> 00:40:53,880
Speaker 1: of like the amount of the fraction of someone's income

694
00:40:53,880 --> 00:40:57,120
Speaker 1: that goes to childcare in certain instances like astronomical to

695
00:40:57,160 --> 00:40:58,520
Speaker 1: the point where they have to put all these other

696
00:40:58,560 --> 00:41:01,839
Speaker 1: needs aside because childcare so important. So that's what makes

697
00:41:01,840 --> 00:41:04,839
Speaker 1: this like hundred dollar reimbursement really fucking lame to me,

698
00:41:05,040 --> 00:41:09,120
Speaker 1: because a it's fifty thousand dollars. That's five people, right,

699
00:41:09,440 --> 00:41:12,400
Speaker 1: you know how many? There's an estimated forty two forty

700
00:41:12,480 --> 00:41:15,920
Speaker 1: three million mothers in this country, So what is that

701
00:41:16,120 --> 00:41:21,719
Speaker 1: one fucking one millionth of a percent? One thousand people

702
00:41:21,760 --> 00:41:24,080
Speaker 1: can say, like, you know, we're being cynical about this.

703
00:41:24,680 --> 00:41:28,040
Speaker 1: I would like to compare the amount of fifty dollars

704
00:41:28,080 --> 00:41:31,600
Speaker 1: take giving away to the amount of money they're spending

705
00:41:31,880 --> 00:41:34,200
Speaker 1: on the campaign to get the word out. And if

706
00:41:34,200 --> 00:41:36,880
Speaker 1: they're doing this, which is probably in the tensive billions

707
00:41:36,880 --> 00:41:40,400
Speaker 1: of dollars. For the fiscal year two thousand and seventeen,

708
00:41:40,440 --> 00:41:44,799
Speaker 1: Kraft Times reported earnings of eleven billion dollars UH with

709
00:41:44,920 --> 00:41:48,239
Speaker 1: an annual revenue of twenty six point two billions, So

710
00:41:48,280 --> 00:41:51,239
Speaker 1: they made twenty six point two they eleven of that

711
00:41:51,320 --> 00:41:55,320
Speaker 1: was profit, right, So well, look if if the pool

712
00:41:55,360 --> 00:41:58,440
Speaker 1: hasn't run out. You go to their website and upload

713
00:41:58,440 --> 00:42:01,720
Speaker 1: a receipt or whatever. There is no company that large

714
00:42:02,200 --> 00:42:06,399
Speaker 1: that shouldn't be completely dismantled, and everyone at the top

715
00:42:06,480 --> 00:42:12,080
Speaker 1: should we should go to jail. Yeah, there's just no reason.

716
00:42:12,200 --> 00:42:14,880
Speaker 1: If you've consolidated that amount of money, that should be

717
00:42:14,920 --> 00:42:17,239
Speaker 1: criminal and you should be forced to give it back

718
00:42:17,239 --> 00:42:18,880
Speaker 1: and go to jail. Yeah. The effects of all that

719
00:42:18,920 --> 00:42:21,880
Speaker 1: consolidation are are written all over the face of this country.

720
00:42:22,120 --> 00:42:24,840
Speaker 1: So you know, whether that's abstract to some people or not,

721
00:42:25,000 --> 00:42:28,719
Speaker 1: that's sort of that's the deal. And again, this the

722
00:42:28,800 --> 00:42:31,799
Speaker 1: fucking lay mass charitable giving from these companies just miss

723
00:42:31,840 --> 00:42:33,640
Speaker 1: me with that ship because like when you know, what

724
00:42:33,680 --> 00:42:36,799
Speaker 1: did Jeff Bezos give recently, Like he gave like a

725
00:42:36,840 --> 00:42:39,960
Speaker 1: billion dollars and they're like that's a that's like less

726
00:42:40,000 --> 00:42:46,120
Speaker 1: than a fraction people normally it's like I have an

727
00:42:46,120 --> 00:42:49,920
Speaker 1: extra billion, yeah, and so fifty dollars. It's like, I

728
00:42:49,960 --> 00:42:51,919
Speaker 1: think that's where maybe you know, we need the garment

729
00:42:51,920 --> 00:42:53,680
Speaker 1: to be like, look, come up, come up, off those

730
00:42:53,719 --> 00:42:56,160
Speaker 1: profits or breaking this whole ship up. You know, why

731
00:42:56,160 --> 00:42:58,280
Speaker 1: don't you you can why don't you claim a billion

732
00:42:58,320 --> 00:43:00,920
Speaker 1: dollars in profit? Uh, that other ten. Why don't you

733
00:43:00,960 --> 00:43:05,120
Speaker 1: put that back into other people? Miles for president? Ah, yeah, boy,

734
00:43:05,560 --> 00:43:09,040
Speaker 1: I'll be on the weed platform. But yeah, Happy Mother's

735
00:43:09,080 --> 00:43:11,160
Speaker 1: Day and all the mothers out there. When his Mother's

736
00:43:11,239 --> 00:43:18,279
Speaker 1: Day in the nineteen twelve, Oh ship, Mama, I say

737
00:43:18,320 --> 00:43:21,680
Speaker 1: Happy Mother's Day to all the mothers and future mothers,

738
00:43:22,160 --> 00:43:26,319
Speaker 1: fathers and everybody. Yeah and just yeah. I mean, look, Jack,

739
00:43:26,400 --> 00:43:28,919
Speaker 1: I know you're a parent. You know, one day I'll

740
00:43:28,960 --> 00:43:31,759
Speaker 1: be a parent, maybe if the world isn't around. So

741
00:43:31,960 --> 00:43:33,880
Speaker 1: that's one of my fears. If someday the two of

742
00:43:33,960 --> 00:43:37,399
Speaker 1: us beat science, if you finally make that the first,

743
00:43:37,960 --> 00:43:40,720
Speaker 1: that'll be tight. Have you seen that? Imagine how popular

744
00:43:40,760 --> 00:43:42,680
Speaker 1: this podcast would be. Oh yeah, did you see that

745
00:43:42,680 --> 00:43:45,600
Speaker 1: Brent wineback video of the man who gave Birth? Was

746
00:43:45,640 --> 00:43:49,360
Speaker 1: that a while ago? Yeah? Anyway, google that, but not

747
00:43:49,440 --> 00:43:54,680
Speaker 1: at work. I was like twelve years ago. Alright, we're

748
00:43:54,680 --> 00:44:06,719
Speaker 1: gonna take a quick break. We'll be right back. And

749
00:44:06,840 --> 00:44:12,439
Speaker 1: we're back, and we're grunting. We're just stretching out here.

750
00:44:12,880 --> 00:44:17,920
Speaker 1: We're talking about McDonald's because they're bringing their international hits

751
00:44:17,960 --> 00:44:22,640
Speaker 1: to the US. Bring the show, Bring on Home. I mean, look,

752
00:44:22,719 --> 00:44:24,960
Speaker 1: before you could only get some of these at the

753
00:44:25,000 --> 00:44:29,839
Speaker 1: headquarters in the Chicago location. So people in Chicago. I've

754
00:44:29,880 --> 00:44:35,399
Speaker 1: seen some extremely whack international McDonald's food items like I've

755
00:44:35,440 --> 00:44:40,120
Speaker 1: seen like spam burgers and show. Yeah it's you are

756
00:44:40,239 --> 00:44:43,440
Speaker 1: nasty corn beef hash out of can. But these actually

757
00:44:43,520 --> 00:44:47,200
Speaker 1: look pretty fucking good. Yeah. Well see they did a

758
00:44:47,200 --> 00:44:49,360
Speaker 1: good thing here. They got things that I feel like

759
00:44:49,520 --> 00:44:51,839
Speaker 1: will easily translate to an American pal You're not hitting

760
00:44:51,880 --> 00:44:54,359
Speaker 1: people with the tarayaki burger like in Japan. I mean

761
00:44:54,680 --> 00:44:59,160
Speaker 1: most people like that anyway. Yeah. The Stroop mcflurry from

762
00:44:59,600 --> 00:45:05,240
Speaker 1: uh the Netherlands. Uh, look, I'm this looks beautiful vanilla

763
00:45:05,239 --> 00:45:10,240
Speaker 1: soft serve caramel chop Dutch Delman's Stroop Waffle caramel waffle

764
00:45:10,280 --> 00:45:14,799
Speaker 1: cookie pieces. Yes, that's a winner. Uh from Spain. And

765
00:45:14,880 --> 00:45:17,799
Speaker 1: I love this name because it sounds like the most

766
00:45:17,880 --> 00:45:20,480
Speaker 1: European version of what a McDonald's thing has to be

767
00:45:20,480 --> 00:45:25,120
Speaker 1: called the Grand Mick Extreme bacon burger, the Grand Nick

768
00:45:25,239 --> 00:45:28,600
Speaker 1: Extreme Dude. Shout out to the Grand make Extreme. What

769
00:45:28,680 --> 00:45:32,759
Speaker 1: they got That one is just burger bacon, smokey mcbacon.

770
00:45:32,840 --> 00:45:35,920
Speaker 1: So I just don't know what that is cheese and onions. Okay,

771
00:45:35,920 --> 00:45:37,800
Speaker 1: I'll funk with that, and then from Canada, from the

772
00:45:37,920 --> 00:45:40,680
Speaker 1: straight up North, are they really getting guda like actual

773
00:45:40,680 --> 00:45:44,239
Speaker 1: gouda cheese McDonald's. Look, come alright, don't make it hot

774
00:45:44,239 --> 00:45:47,600
Speaker 1: for them, Okay, McDonald's. I don't know, man. They when

775
00:45:47,600 --> 00:45:51,400
Speaker 1: they started buying uh apples for their salad, they became

776
00:45:51,440 --> 00:45:55,400
Speaker 1: the number one purchaser of apples in the world. Yeah,

777
00:45:55,600 --> 00:45:59,400
Speaker 1: I mean sometimes they have to buy real INGREDI yeah,

778
00:46:00,360 --> 00:46:04,239
Speaker 1: face mots good. Then they're about to fucking make a

779
00:46:04,320 --> 00:46:07,080
Speaker 1: killing and then another one. Tomato mozzolla, chicken sandwich, grilled

780
00:46:07,200 --> 00:46:11,880
Speaker 1: or crispy sliced tomatoes, herb sauce, creamy mazzorella cheese, onions,

781
00:46:11,880 --> 00:46:14,600
Speaker 1: and lettuce. I mean that that sounds great, that's standard.

782
00:46:14,800 --> 00:46:17,759
Speaker 1: I really just for the name, like Grand make Extreme

783
00:46:17,800 --> 00:46:20,960
Speaker 1: Bacon burger. Yeah, I'm sure it was called Uncle Sam's

784
00:46:21,000 --> 00:46:24,120
Speaker 1: Grand Making Extreme Bacon. And then they're like, guess what

785
00:46:24,280 --> 00:46:29,600
Speaker 1: sounds good? Literally everything McDonald's has ever made it sounds good.

786
00:46:30,280 --> 00:46:31,960
Speaker 1: But then you get there and you're like, all right,

787
00:46:32,280 --> 00:46:38,400
Speaker 1: it's McDonald's in a lab next to them breeding mice

788
00:46:38,560 --> 00:46:43,080
Speaker 1: with ears on their backs. Those are which are delicious them.

789
00:46:43,120 --> 00:46:47,520
Speaker 1: They're so fucking good with little moths, some tomato tomato.

790
00:46:48,320 --> 00:46:54,560
Speaker 1: I do believe, however, that the strup mcflurry is unfunk up.

791
00:46:55,480 --> 00:46:59,480
Speaker 1: That looks impossible to suck up. Caramel, yeah, cookie, yeah,

792
00:46:59,600 --> 00:47:02,480
Speaker 1: vanilla ice cream, yeah, waffle, give me that fine, put

793
00:47:02,560 --> 00:47:04,239
Speaker 1: it in my mouth. It was like suddenly it was

794
00:47:04,280 --> 00:47:10,920
Speaker 1: like yeah, like my the thing that I would have

795
00:47:10,960 --> 00:47:13,719
Speaker 1: expected from like a European country would be like a

796
00:47:13,760 --> 00:47:20,320
Speaker 1: black licorice mcflurry, right like the we were in um Soul,

797
00:47:20,400 --> 00:47:25,879
Speaker 1: Korea one year from my girlfriend's birthday. Um, my brother

798
00:47:25,880 --> 00:47:27,360
Speaker 1: was getting married, but it was also just happened to

799
00:47:27,400 --> 00:47:29,560
Speaker 1: be my my girlfriend's birthday nearing the end of the trip,

800
00:47:30,239 --> 00:47:33,879
Speaker 1: and um, it's, uh, it's more difficult than a lot

801
00:47:33,920 --> 00:47:36,879
Speaker 1: of countries to eat food to figure out what you're

802
00:47:36,920 --> 00:47:42,279
Speaker 1: doing in Soul um and uh so it's it was

803
00:47:42,280 --> 00:47:45,640
Speaker 1: a little trying sometimes. And then on her birthday, uh,

804
00:47:45,719 --> 00:47:49,839
Speaker 1: in the morning, I took her surprise to McDonald's because yeah,

805
00:47:49,880 --> 00:47:54,799
Speaker 1: it's yeah, we need a break, and we who went

806
00:47:54,840 --> 00:47:58,439
Speaker 1: in there and I did not. I recognized every single dish.

807
00:47:58,480 --> 00:48:04,400
Speaker 1: There wasn't anything there that wasn't like in an American McDonald's. Yeah,

808
00:48:04,520 --> 00:48:07,799
Speaker 1: I don't, Yeah, there was nothing I wonder if it's

809
00:48:07,840 --> 00:48:11,959
Speaker 1: because Korean food is so different from anything that would

810
00:48:11,960 --> 00:48:13,759
Speaker 1: be on the McDonald's menu that they're like, we're not

811
00:48:13,760 --> 00:48:15,520
Speaker 1: even gonna funk with this, Like we're not what are

812
00:48:15,520 --> 00:48:19,480
Speaker 1: we gonna put kimchi on the menu Like McDonald's, uh

813
00:48:19,520 --> 00:48:23,959
Speaker 1: serve served kimchi, Like, hold onto your butts because Korean

814
00:48:24,040 --> 00:48:28,200
Speaker 1: McDonald's they got some. They got some for you got

815
00:48:28,239 --> 00:48:32,959
Speaker 1: a spicy chicken also. It was so they probably, yeah,

816
00:48:32,960 --> 00:48:34,920
Speaker 1: they could have had a lot of stuff that kimchi

817
00:48:35,040 --> 00:48:40,160
Speaker 1: shaker fries. Okay, we gotta take a trip to soul.

818
00:48:40,320 --> 00:48:44,040
Speaker 1: I'm a son. Yeah, I mean because breakfast is an

819
00:48:44,239 --> 00:48:51,000
Speaker 1: American invention, they probably don't have that many breakfasting American invention. Yeah,

820
00:48:51,040 --> 00:48:53,120
Speaker 1: the way we know it, we don't like it being

821
00:48:53,120 --> 00:48:56,239
Speaker 1: a big meal. Other people like the farmers decided we

822
00:48:56,280 --> 00:49:01,799
Speaker 1: need to eat cold. Person actually decided that advertiser was like,

823
00:49:01,880 --> 00:49:05,920
Speaker 1: how do we make bacon sales go up? Well, it's

824
00:49:05,960 --> 00:49:08,279
Speaker 1: Mother's Day worked on that dude. It was on Fox

825
00:49:08,360 --> 00:49:10,920
Speaker 1: News had the plate of ten sunny side up. That

826
00:49:11,000 --> 00:49:13,160
Speaker 1: guy is my hero. It was on Fox the other

827
00:49:13,239 --> 00:49:14,960
Speaker 1: day or two days ago. They were you know, they

828
00:49:14,960 --> 00:49:16,480
Speaker 1: do segments where they talk to people with the real

829
00:49:16,520 --> 00:49:19,080
Speaker 1: Americans and diners and stuff, and they go up to

830
00:49:19,120 --> 00:49:21,600
Speaker 1: a guy to talk about like Trump Russia stuff, and

831
00:49:21,600 --> 00:49:23,800
Speaker 1: he's like, I don't think it's all new, no garbage.

832
00:49:23,800 --> 00:49:26,239
Speaker 1: He's got a Trump had on And when you look

833
00:49:26,280 --> 00:49:28,080
Speaker 1: at the shot it was on Twitter, he had a

834
00:49:28,160 --> 00:49:31,759
Speaker 1: fucking plate that had ten sunny side up eggs on

835
00:49:31,800 --> 00:49:34,839
Speaker 1: it and like a little stack of toast. No, and

836
00:49:34,880 --> 00:49:38,279
Speaker 1: it was it was almost like, Oh, what the fund

837
00:49:38,360 --> 00:49:40,759
Speaker 1: is this? What's your cholesterol? Like, my my friend, I

838
00:49:40,760 --> 00:49:43,400
Speaker 1: think the people that think eggs are bad for you

839
00:49:43,480 --> 00:49:45,080
Speaker 1: and the people that think eggs are good for you

840
00:49:45,160 --> 00:49:49,120
Speaker 1: can both agree that that's not good. And if that's

841
00:49:49,120 --> 00:49:54,200
Speaker 1: your average, if you're like every day just in protein,

842
00:49:54,760 --> 00:50:00,000
Speaker 1: yeah a lot though you talk about an egg boy.

843
00:50:00,000 --> 00:50:03,200
Speaker 1: Do you think he calls himself that? Probably not. Do

844
00:50:03,200 --> 00:50:06,640
Speaker 1: you think he also went to right after that? Yeah, exactly.

845
00:50:06,640 --> 00:50:09,719
Speaker 1: And then I get lunch and and then I have

846
00:50:09,760 --> 00:50:14,879
Speaker 1: a kiche for dinner. People listening to this no that yes,

847
00:50:15,160 --> 00:50:21,560
Speaker 1: sorry people who are not in Los Angeles. Yeah, yeah, alright, Yeah,

848
00:50:21,920 --> 00:50:24,960
Speaker 1: it's only been a change, I mean even for like

849
00:50:25,520 --> 00:50:28,920
Speaker 1: two years. Oh there's one in Las Vegas too, Yes, baby,

850
00:50:29,200 --> 00:50:33,839
Speaker 1: So look we're branching out. That's where normal people live. Ye, well,

851
00:50:33,960 --> 00:50:38,600
Speaker 1: like East Vegas or Henderson. You know. Alright, guys, I

852
00:50:38,600 --> 00:50:40,560
Speaker 1: had to work a Senate race in Nevada, so I

853
00:50:40,560 --> 00:50:43,040
Speaker 1: was like, oh, we did fine, We did fine. We

854
00:50:43,160 --> 00:50:47,560
Speaker 1: beat a woman who was unelectable, so it all worked out.

855
00:50:47,640 --> 00:50:49,640
Speaker 1: But you made sure people knew she was on who

856
00:50:49,640 --> 00:50:53,000
Speaker 1: did make sure? Yes, pictures that you set her up

857
00:50:53,120 --> 00:50:55,960
Speaker 1: on camera? But there that's on a different podcast called

858
00:50:56,160 --> 00:51:00,480
Speaker 1: Miles is Old Political Dirt. Um. Let's check in with Google.

859
00:51:00,680 --> 00:51:03,600
Speaker 1: We because we didn't know you were coming. We didn't

860
00:51:03,680 --> 00:51:05,880
Speaker 1: check in with the big trends. We checked in with

861
00:51:05,960 --> 00:51:09,160
Speaker 1: Google Trends. Well, I can't. I can't help with this, right,

862
00:51:09,239 --> 00:51:13,279
Speaker 1: So so a couple of things that are trending right

863
00:51:13,320 --> 00:51:16,480
Speaker 1: now at the end of this week. One thing I

864
00:51:16,520 --> 00:51:20,000
Speaker 1: have to add it there are two more excellent locations internationally.

865
00:51:20,040 --> 00:51:27,280
Speaker 1: You know where they are, Lebanon and Kuwait. Soever fucking

866
00:51:27,320 --> 00:51:29,640
Speaker 1: license that ship. They're like, you know they're gonna love

867
00:51:29,640 --> 00:51:33,480
Speaker 1: this and level right, how does business work? I know?

868
00:51:33,320 --> 00:51:36,920
Speaker 1: And that's when you know, some other like international marketing

869
00:51:37,120 --> 00:51:39,239
Speaker 1: company comes in and goes I can actually I can

870
00:51:39,239 --> 00:51:41,880
Speaker 1: get you into Kuwait City, right, and I have data

871
00:51:41,960 --> 00:51:45,080
Speaker 1: that says that they are dying. They are a city

872
00:51:45,200 --> 00:51:46,759
Speaker 1: of eggs. Let you know, have you guys been to

873
00:51:46,840 --> 00:51:51,680
Speaker 1: Disano's Pizza, which is a local pizza restaurant Santa Monica. Uh, well,

874
00:51:51,719 --> 00:51:53,880
Speaker 1: there's there's one in Hollywood. I guess they opened one

875
00:51:53,880 --> 00:51:59,400
Speaker 1: in Santa Monica. I didn't know. And anyway, so, uh,

876
00:51:59,840 --> 00:52:04,759
Speaker 1: I was in an airport in Fort Lauderdale. And what

877
00:52:04,800 --> 00:52:08,600
Speaker 1: did I see? But the second location for Desos really

878
00:52:08,920 --> 00:52:13,000
Speaker 1: is in an airporte there the same company. You can

879
00:52:13,040 --> 00:52:16,000
Speaker 1: look it up. The owner of that side. Fact, when

880
00:52:16,080 --> 00:52:18,680
Speaker 1: you saw on House Kitchen is the maitre d of

881
00:52:18,840 --> 00:52:21,880
Speaker 1: the House Kitchen. Marino is one of the owners of Dosano.

882
00:52:21,920 --> 00:52:24,080
Speaker 1: Peter used to run Hell's Kitchen. No, I used to

883
00:52:24,120 --> 00:52:28,480
Speaker 1: work on this show. Oh cool, yeah, lowly, I thought

884
00:52:28,400 --> 00:52:34,879
Speaker 1: the entire oh, the neighborhood area. The competitive game show

885
00:52:34,880 --> 00:52:37,320
Speaker 1: Hell's Kitchen Got It which was shot on a sound

886
00:52:37,320 --> 00:52:39,680
Speaker 1: stage where a Wizard of OUs what shot um? But anyway,

887
00:52:40,160 --> 00:52:43,600
Speaker 1: uh it chapter two is trending. It looks terrifying. I

888
00:52:43,640 --> 00:52:46,279
Speaker 1: didn't even see the first one. This looks terrifying. The

889
00:52:46,360 --> 00:52:48,880
Speaker 1: cast they got to play the grown up versions of

890
00:52:48,880 --> 00:52:52,680
Speaker 1: the kids. They got Jessica Chastain, Bill Hayter, and James McAvoy.

891
00:52:53,600 --> 00:52:56,359
Speaker 1: So yeah, it's gonna be wild. Did the trailer just

892
00:52:56,360 --> 00:52:59,400
Speaker 1: come out? Yeah, the trailer for to chapter two just

893
00:52:59,440 --> 00:53:07,400
Speaker 1: came out. Chapter two, and it's fucking terrorifying. It's uh it,

894
00:53:07,640 --> 00:53:12,919
Speaker 1: Chapter two is terrifying, Joannice, the Kumpo is trending. Yeah,

895
00:53:13,000 --> 00:53:16,359
Speaker 1: the Greek Freak, the Greek Freak is doing things like

896
00:53:16,440 --> 00:53:20,279
Speaker 1: it's I always root for people who are doing things

897
00:53:20,280 --> 00:53:22,920
Speaker 1: on the basketball court that like you've never seen before.

898
00:53:23,200 --> 00:53:26,759
Speaker 1: And he has officially like busted through like the kool

899
00:53:26,800 --> 00:53:31,200
Speaker 1: Aid Man into that realm. He's just fucking He's crazy.

900
00:53:31,239 --> 00:53:33,399
Speaker 1: He's an unstoppable does he like walk on his hands

901
00:53:33,400 --> 00:53:36,040
Speaker 1: and shoe with his feet kind of he's the first

902
00:53:36,040 --> 00:53:38,560
Speaker 1: player to fart a ball off of his butt into

903
00:53:38,560 --> 00:53:44,200
Speaker 1: the into the net. But doing stuff we've never seen it.

904
00:53:44,440 --> 00:53:48,040
Speaker 1: He will like drive from the three point arc and

905
00:53:48,080 --> 00:53:50,959
Speaker 1: get to the rim in a single step like he's

906
00:53:51,000 --> 00:53:55,320
Speaker 1: just the longest, most athletic dude and like dunk it.

907
00:53:55,480 --> 00:53:59,920
Speaker 1: It's crazy. Um, And yeah, he just destroyed the Celtics,

908
00:54:00,080 --> 00:54:03,600
Speaker 1: which I love to see. I was I picked the

909
00:54:03,600 --> 00:54:06,000
Speaker 1: Celtics to go to the finals. And I was wrong

910
00:54:06,120 --> 00:54:08,200
Speaker 1: and happy to be wrong about that. But you do

911
00:54:08,280 --> 00:54:09,920
Speaker 1: that because you know you're cursed, and that's how you

912
00:54:09,920 --> 00:54:11,839
Speaker 1: get the Celtics to not make the finals. That's right,

913
00:54:11,880 --> 00:54:13,520
Speaker 1: you're like I picked him for the finals. Yeah, and

914
00:54:13,600 --> 00:54:17,280
Speaker 1: when the season started, I picked the Chicago Bulls. Baby,

915
00:54:17,320 --> 00:54:20,440
Speaker 1: all right, we'll see, we'll see, we'll see it. We'll

916
00:54:20,480 --> 00:54:24,480
Speaker 1: see over here. Yeah, the Bulls might still always get

917
00:54:24,480 --> 00:54:26,480
Speaker 1: a lawsuit. Yeah, you never, It might be loophole, might

918
00:54:26,719 --> 00:54:31,279
Speaker 1: to the back door. Tesla was trending on again, not

919
00:54:31,360 --> 00:54:33,560
Speaker 1: the number one search engine Bing, but it was sent

920
00:54:33,719 --> 00:54:38,000
Speaker 1: trending on a search engine called Google. Google that yeah,

921
00:54:38,040 --> 00:54:43,520
Speaker 1: Google Google Google. And it was actually the number one

922
00:54:43,560 --> 00:54:47,640
Speaker 1: search term on my favorite search engine, porn Hub, because

923
00:54:47,680 --> 00:54:50,799
Speaker 1: someone filmed a porn in a Tesla while it was

924
00:54:50,840 --> 00:54:55,200
Speaker 1: on autopilot mode, uh, and made Tesla the number one

925
00:54:55,239 --> 00:54:58,440
Speaker 1: trending search on porn Hub and got it into the Google.

926
00:54:59,800 --> 00:55:02,239
Speaker 1: Was it p o v porn? No, it sounds like

927
00:55:02,320 --> 00:55:05,600
Speaker 1: a weird angle, like the screenshots that I saw of it,

928
00:55:05,680 --> 00:55:08,799
Speaker 1: Like it looks like it's from above. Yeah, like they

929
00:55:08,800 --> 00:55:11,160
Speaker 1: hooked a GoPro to this some kind of I mean,

930
00:55:11,160 --> 00:55:13,040
Speaker 1: that's a flex where you're like you're holding a camera

931
00:55:13,120 --> 00:55:15,319
Speaker 1: and then you look out the winner like no one's

932
00:55:15,360 --> 00:55:19,400
Speaker 1: in the driver's seat, right reckless? Yeah yeah yeah. Anyways,

933
00:55:19,800 --> 00:55:24,799
Speaker 1: shout out to Tesla for the greatest marketing stunt Potential

934
00:55:24,880 --> 00:55:27,840
Speaker 1: Darwin Award Winner of the Year. Yeah, it was like

935
00:55:27,880 --> 00:55:32,280
Speaker 1: an official porn shoot though, because I guess the perform

936
00:55:33,200 --> 00:55:37,040
Speaker 1: Yeah no, there is no performer. Is a porn star

937
00:55:37,320 --> 00:55:42,080
Speaker 1: a name porn star apparently? Um, I don't know off

938
00:55:42,200 --> 00:55:46,160
Speaker 1: top of my head, Riley Reid, and I don't know.

939
00:55:46,200 --> 00:55:48,879
Speaker 1: I just was filling in a blank space and Mr

940
00:55:49,080 --> 00:55:53,920
Speaker 1: Charles six energy drinks a day, uh not good for you?

941
00:55:54,040 --> 00:55:57,560
Speaker 1: A woman who had that every day for uh too

942
00:55:57,640 --> 00:56:01,880
Speaker 1: long time. Turns out she had to have a pacemaker

943
00:56:01,880 --> 00:56:05,400
Speaker 1: put in at age thirty three, had a second degree

944
00:56:05,440 --> 00:56:09,200
Speaker 1: heart blockage after she passed out, right, But it's hard

945
00:56:09,239 --> 00:56:13,040
Speaker 1: to know, like if that's what causes Yeah, she was,

946
00:56:13,200 --> 00:56:15,800
Speaker 1: she's like she says, she has a real hectic lifestyle.

947
00:56:15,880 --> 00:56:19,680
Speaker 1: She's got three kids, she has insomnia, so like the

948
00:56:19,760 --> 00:56:22,680
Speaker 1: energy drinks helped her stay awake, but it seemed like

949
00:56:22,719 --> 00:56:25,040
Speaker 1: she may have just been in poor health and the

950
00:56:25,160 --> 00:56:30,400
Speaker 1: energy drinks is only exhaust Yeah yeah, k, that's I'm

951
00:56:30,440 --> 00:56:31,880
Speaker 1: like when I read it, I'm like, it's like, I

952
00:56:31,880 --> 00:56:34,279
Speaker 1: don't know if it's exactly like these energy drinks did that.

953
00:56:34,280 --> 00:56:36,200
Speaker 1: It's like this may have been a sort of out

954
00:56:36,200 --> 00:56:39,000
Speaker 1: of control of train wreck. If your lifestyle is such

955
00:56:39,080 --> 00:56:42,000
Speaker 1: that you are considering drinking six energy drinks a day,

956
00:56:42,040 --> 00:56:44,320
Speaker 1: there's something off, like just go go to the doctor

957
00:56:44,360 --> 00:56:47,120
Speaker 1: instead of drinking six energy drinks a day. Yeah, well

958
00:56:47,160 --> 00:56:49,080
Speaker 1: we got to look out. Look look out for anybody

959
00:56:49,120 --> 00:56:52,239
Speaker 1: who's having this day that caffeineated. In general, I wonder

960
00:56:52,239 --> 00:56:54,319
Speaker 1: if help I think either way, I wonder if there

961
00:56:54,360 --> 00:56:56,360
Speaker 1: was a moment where she was like, you know what,

962
00:56:57,000 --> 00:57:01,880
Speaker 1: five's not enough? Right? Know, first it was like four

963
00:57:02,200 --> 00:57:05,040
Speaker 1: and we're like come on now, like come on, Samantha,

964
00:57:05,120 --> 00:57:08,400
Speaker 1: that's normal at one for every meal, four meals, fourth meal,

965
00:57:08,480 --> 00:57:10,960
Speaker 1: talk thank you, and then fifth meal and six mel

966
00:57:11,040 --> 00:57:13,319
Speaker 1: and it's like that's when I eat three am at

967
00:57:13,320 --> 00:57:17,200
Speaker 1: waffle house. I used to drink probably for sugar free

968
00:57:17,240 --> 00:57:23,480
Speaker 1: rebels a day consistently, Yeah, pretty consistently. It was only

969
00:57:23,520 --> 00:57:25,240
Speaker 1: for like a couple of months, but I could like

970
00:57:25,360 --> 00:57:29,200
Speaker 1: feel like my fingernails loosening, like it was like bad.

971
00:57:29,680 --> 00:57:33,840
Speaker 1: It was it was not good. Finger nails loosen. Yeah, uh,

972
00:57:34,160 --> 00:57:36,080
Speaker 1: I was not. Is that why you type with the

973
00:57:36,080 --> 00:57:41,080
Speaker 1: back of your fingers? Three? Yeah, I used to do

974
00:57:41,160 --> 00:57:43,640
Speaker 1: one pretty regularly back when I was like in New

975
00:57:43,680 --> 00:57:45,280
Speaker 1: York when it was like day job and then got

976
00:57:45,280 --> 00:57:48,120
Speaker 1: to do comedy at night, stay out all day. But

977
00:57:48,560 --> 00:57:51,600
Speaker 1: I take naps six seven a day now. Yeah. Yeah,

978
00:57:51,800 --> 00:57:54,120
Speaker 1: shout out to naps. Shout as people have the luxury

979
00:57:54,120 --> 00:57:56,040
Speaker 1: to take a nap to thank you. Nap should be

980
00:57:56,080 --> 00:57:58,480
Speaker 1: a right, yeah, you know what I mean. You shouldn't

981
00:57:58,480 --> 00:58:00,040
Speaker 1: have to travel to a different state to get a

982
00:58:00,120 --> 00:58:04,560
Speaker 1: nap exactly. And finally, the pen ultimate episode of Game

983
00:58:04,600 --> 00:58:09,400
Speaker 1: of Thrones coming this weekend, we wanted to take this opportunity,

984
00:58:09,520 --> 00:58:13,160
Speaker 1: uh to say goodbye to the characters we know are

985
00:58:13,280 --> 00:58:16,560
Speaker 1: going to pass because we have a leaked script and

986
00:58:16,680 --> 00:58:20,280
Speaker 1: that no, we actually don't know ship Nick, you especially

987
00:58:20,280 --> 00:58:22,600
Speaker 1: don't know you behind. All I know is what I've

988
00:58:22,600 --> 00:58:25,680
Speaker 1: written in my fan fiction. So I think I like

989
00:58:25,800 --> 00:58:27,880
Speaker 1: to know from how far are you in season seven?

990
00:58:28,040 --> 00:58:32,480
Speaker 1: Right now? Um, I'm the three episodes okay, three episodes

991
00:58:32,520 --> 00:58:35,520
Speaker 1: in Okay, So how do you think it's gonna who

992
00:58:35,520 --> 00:58:39,280
Speaker 1: do you think that from where you're where you're seated

993
00:58:39,520 --> 00:58:41,080
Speaker 1: I think by the end there's going to be a

994
00:58:41,080 --> 00:58:45,760
Speaker 1: hashtag fourth Dragon Taco Bell. That is something people are

995
00:58:45,760 --> 00:58:49,840
Speaker 1: thinking about, though. Four can't imagine anyone you care about

996
00:58:49,960 --> 00:58:52,600
Speaker 1: will be left alive. Interesting, you know, I want everyone

997
00:58:52,640 --> 00:58:55,439
Speaker 1: to die. You want everyone to die. Everyone to die

998
00:58:55,520 --> 00:58:58,240
Speaker 1: because we can't see them anyway. I don't want them

999
00:58:58,240 --> 00:58:59,960
Speaker 1: to continue living their lives after I know it has

1000
00:59:00,000 --> 00:59:02,280
Speaker 1: to be done to kill them. You're not gonna have fun.

1001
00:59:02,320 --> 00:59:03,960
Speaker 1: Who you know what I don't want to see. I

1002
00:59:04,000 --> 00:59:07,840
Speaker 1: want like the dragons to blow fire on all the

1003
00:59:07,880 --> 00:59:12,680
Speaker 1: eunuchs and they get their penises back. Wow, Varius might

1004
00:59:12,760 --> 00:59:15,960
Speaker 1: like that. Yeah, yeah, could you imagine all those hot

1005
00:59:16,040 --> 00:59:22,760
Speaker 1: dudes just suddenly get penises? You were talking about the uns? Yeah,

1006
00:59:22,840 --> 00:59:26,400
Speaker 1: what do they have where they not not Reek? Yeah? Yeah, Yeah,

1007
00:59:27,800 --> 00:59:32,040
Speaker 1: that's weird though that, Like we there there's a lot

1008
00:59:32,160 --> 00:59:33,960
Speaker 1: of characters that have had their dick cut off in

1009
00:59:34,080 --> 00:59:37,960
Speaker 1: that show. Like there's Reek. Yeah, once you start with it,

1010
00:59:38,120 --> 00:59:42,760
Speaker 1: you can't go and box Man, There's there's the Spider, Uh,

1011
00:59:43,680 --> 00:59:46,480
Speaker 1: there's and then there's an entire army of them. But

1012
00:59:46,520 --> 00:59:49,640
Speaker 1: are they but they have their gentles removed or they

1013
00:59:49,800 --> 00:59:58,400
Speaker 1: are castrated. Wait, isn't that the same thing castration to castrations,

1014
00:59:58,440 --> 01:00:01,240
Speaker 1: you have your testicles removed. Okay, but isn't a eunuch

1015
01:00:01,320 --> 01:00:04,240
Speaker 1: having your penis and your balls put cut off? I

1016
01:00:04,280 --> 01:00:06,600
Speaker 1: don't know, man, you know we never get a good

1017
01:00:06,640 --> 01:00:09,000
Speaker 1: shot down there. Yeah, well I think that's gonna be

1018
01:00:09,000 --> 01:00:12,640
Speaker 1: the last. Guess it's gonna be like, yeah, it's just

1019
01:00:12,680 --> 01:00:17,320
Speaker 1: gonna be is Also, you're a person who has had

1020
01:00:17,720 --> 01:00:20,840
Speaker 1: from antiquity, had been castrated in order to service specific

1021
01:00:20,920 --> 01:00:27,920
Speaker 1: social function castrado. Yeah, oh there is an I mean

1022
01:00:27,960 --> 01:00:30,400
Speaker 1: either way, yeah, restore everybody if they want to be

1023
01:00:30,440 --> 01:00:32,000
Speaker 1: you know, if they're living their life, then do your thing.

1024
01:00:32,040 --> 01:00:36,880
Speaker 1: But magic dragon breath to bring the hardware back. I

1025
01:00:36,880 --> 01:00:39,240
Speaker 1: also want like one scene in the finale that's just

1026
01:00:39,280 --> 01:00:43,000
Speaker 1: like a hundred coffee cups, just like just like the

1027
01:00:43,000 --> 01:00:46,920
Speaker 1: coffee cup thing was like people really when I don't know,

1028
01:00:47,240 --> 01:00:49,760
Speaker 1: it seemed like we needed something to distract ourselves. That

1029
01:00:50,000 --> 01:00:52,520
Speaker 1: It's pretty good. People were just but it's just a

1030
01:00:52,520 --> 01:00:56,080
Speaker 1: weird up, you know what I mean. Though I haven't

1031
01:00:56,120 --> 01:00:58,000
Speaker 1: been seen it, but I heard that the creators were

1032
01:00:58,040 --> 01:01:00,400
Speaker 1: in that scene. Yeah, they're also on the scene. That's

1033
01:01:00,440 --> 01:01:03,120
Speaker 1: so funny. It was definitely his coffee so funny and

1034
01:01:03,160 --> 01:01:05,960
Speaker 1: no one could like, I guess, don't tell dB. Yes

1035
01:01:07,600 --> 01:01:10,760
Speaker 1: you're gonna get Benny off, will rip your fucking face off.

1036
01:01:11,200 --> 01:01:14,920
Speaker 1: But again, you know, just go full full confidence, as

1037
01:01:14,960 --> 01:01:17,560
Speaker 1: if you know what's happening. Just describe to me what

1038
01:01:17,600 --> 01:01:23,040
Speaker 1: happens in the penultimate scene. Well, can I just say that, um,

1039
01:01:24,000 --> 01:01:32,680
Speaker 1: Tyrian and Denarius Um thinks Tyrian and Denarius are still sorry,

1040
01:01:32,720 --> 01:01:36,320
Speaker 1: I'm being a I don't know what's happening. Okay, Well,

1041
01:01:37,640 --> 01:01:41,240
Speaker 1: well I think I think that they definitely win, and

1042
01:01:41,280 --> 01:01:45,680
Speaker 1: then they kill everybody personally, and then they're and then

1043
01:01:45,720 --> 01:01:49,880
Speaker 1: they're about to kiss because and then they turned to

1044
01:01:49,960 --> 01:01:51,720
Speaker 1: the camera and they're like you didn't really think it

1045
01:01:51,760 --> 01:01:55,439
Speaker 1: was gonna that way, did you? And then there's still

1046
01:01:55,480 --> 01:01:58,160
Speaker 1: mates appear and like whoever they are, I don't know,

1047
01:01:58,440 --> 01:02:00,560
Speaker 1: but they come and they have two different and they

1048
01:02:00,600 --> 01:02:04,680
Speaker 1: they rule together. Wow. Yeah, as like as husband and

1049
01:02:04,720 --> 01:02:08,000
Speaker 1: wife of other people. Wow. And the people and and

1050
01:02:08,200 --> 01:02:11,520
Speaker 1: Denaris's husband has two penises. Dang. Oh the dude from

1051
01:02:11,560 --> 01:02:15,560
Speaker 1: Reddit what to dick rick or whatever, there's a dude

1052
01:02:15,560 --> 01:02:18,240
Speaker 1: on who did an a m A. He's like, I'm

1053
01:02:18,280 --> 01:02:22,720
Speaker 1: the guy with two penises, asked me anything and asked me, whatever, Well,

1054
01:02:22,920 --> 01:02:25,960
Speaker 1: I got one question. I can't send it. Oh yeah,

1055
01:02:26,160 --> 01:02:28,240
Speaker 1: it's on there. Oh that's how he opened it. He

1056
01:02:28,280 --> 01:02:31,040
Speaker 1: opened He's like, y'all think I'm bullshitting. I'm the man

1057
01:02:31,080 --> 01:02:34,680
Speaker 1: with two penises. Yeah, yeah, no, just I gotta he said,

1058
01:02:34,720 --> 01:02:38,400
Speaker 1: dudes are way more into it than women. There's penises

1059
01:02:38,840 --> 01:02:41,400
Speaker 1: reddit that rules. Okay, now I just gotta wait twenty

1060
01:02:41,440 --> 01:02:44,280
Speaker 1: five minutes to bing this. It's on your phone too.

1061
01:02:45,760 --> 01:02:50,320
Speaker 1: It's like I can't escape being man. Being is a

1062
01:02:50,560 --> 01:02:55,680
Speaker 1: one at a time search engine. Okay. Anyways, it's fitting

1063
01:02:55,840 --> 01:02:58,680
Speaker 1: that the penultimate episode is happening on Mother's Day. There's

1064
01:02:58,680 --> 01:03:03,120
Speaker 1: a couple of mothers having the mother of all showdowns. Yeah,

1065
01:03:03,160 --> 01:03:06,760
Speaker 1: so we'll see. It's uh, I don't know. I need

1066
01:03:06,840 --> 01:03:11,920
Speaker 1: some big characters to lose, lose the Game of Thrones,

1067
01:03:12,040 --> 01:03:15,080
Speaker 1: so to speak. Yeah, it's hard to say what we

1068
01:03:15,120 --> 01:03:17,960
Speaker 1: want to happen with out of respect for your journey,

1069
01:03:18,240 --> 01:03:21,160
Speaker 1: well and everyone, because why why do you you know, Well,

1070
01:03:21,200 --> 01:03:23,560
Speaker 1: we typically tell people's this is spoilers. We were like, yo,

1071
01:03:23,640 --> 01:03:25,440
Speaker 1: just skip, just skip this apart if you don't. If

1072
01:03:25,440 --> 01:03:27,680
Speaker 1: you did, you say that this time, we weren't really

1073
01:03:27,680 --> 01:03:31,040
Speaker 1: spoiling yeah, I had. I saw a spoiler on Facebook.

1074
01:03:31,120 --> 01:03:36,960
Speaker 1: It said spoiler and then um, spoiler one of the

1075
01:03:36,960 --> 01:03:39,439
Speaker 1: biggest Game of Thrones spoilers, and it did. There wasn't

1076
01:03:39,440 --> 01:03:41,840
Speaker 1: even like a space, it wasn't on a different line, right,

1077
01:03:41,880 --> 01:03:44,560
Speaker 1: They're just like, spoiler this right and not realizing our

1078
01:03:44,600 --> 01:03:47,080
Speaker 1: eyes just track from very naturally to the next world

1079
01:03:47,120 --> 01:03:49,120
Speaker 1: are you talking about? And then I wrote on there

1080
01:03:49,320 --> 01:03:51,480
Speaker 1: it's just like, hey, just let you know this was

1081
01:03:51,520 --> 01:03:55,280
Speaker 1: a bummer. Uh, the spoiler you gotta do like the

1082
01:03:55,360 --> 01:03:58,200
Speaker 1: thing where it's way lower. You got a click seamore

1083
01:03:58,760 --> 01:04:02,960
Speaker 1: And then he responded in no way right, huh, because

1084
01:04:03,000 --> 01:04:05,240
Speaker 1: you know what the rules are? What is it? Forty

1085
01:04:05,240 --> 01:04:09,200
Speaker 1: eight hours yeah, forty eight hours for show, two weeks

1086
01:04:09,240 --> 01:04:12,720
Speaker 1: for a movie. I got different rules. Here's my rules. Uh,

1087
01:04:12,800 --> 01:04:16,720
Speaker 1: no spoilers until it is in the American lexicon, like

1088
01:04:17,160 --> 01:04:20,680
Speaker 1: until scary movie has parodied it or something. No spoilers.

1089
01:04:20,720 --> 01:04:23,840
Speaker 1: No spoilers ever, why would what is a spoiler other

1090
01:04:23,880 --> 01:04:27,720
Speaker 1: than just someone saying something for no reason. You want

1091
01:04:27,720 --> 01:04:30,240
Speaker 1: to have a conversation about it, do it, talk to

1092
01:04:30,280 --> 01:04:33,560
Speaker 1: your friends, but don't just post spoiler this just put Yeah,

1093
01:04:33,800 --> 01:04:37,880
Speaker 1: I don't just post et died what Oh, yeah, well

1094
01:04:38,320 --> 01:04:41,520
Speaker 1: that was in the motherfuck that's in my that's in

1095
01:04:41,560 --> 01:04:44,120
Speaker 1: my Game of Thrones fan fix. At the end, Et

1096
01:04:44,440 --> 01:04:47,120
Speaker 1: gets eaten by one of the dragons. Oh ship, that

1097
01:04:47,160 --> 01:04:48,880
Speaker 1: would be tight. Yeah, alright, I can do with that.

1098
01:04:50,880 --> 01:04:56,160
Speaker 1: Spits out, spits them out. Not in the movie. Oh good, okay,

1099
01:04:56,200 --> 01:04:58,480
Speaker 1: but one has to imagine he'd probably be dead now,

1100
01:04:59,800 --> 01:05:04,080
Speaker 1: so like all the animal Yeah, well, I don't want

1101
01:05:04,120 --> 01:05:06,160
Speaker 1: Eat to die. Ever. Oh I thought you were saying

1102
01:05:07,120 --> 01:05:10,680
Speaker 1: that you're glad he's dead. No, no, no, I remember

1103
01:05:10,720 --> 01:05:13,360
Speaker 1: I saw Et as a kid and I hid myself

1104
01:05:13,400 --> 01:05:16,360
Speaker 1: amongst like stuffed animals I had in my bedroom, like

1105
01:05:16,400 --> 01:05:18,040
Speaker 1: and just laid him on top of myself with my

1106
01:05:18,080 --> 01:05:21,040
Speaker 1: face only the things showing. My mom thought I was kidnapped.

1107
01:05:21,800 --> 01:05:24,240
Speaker 1: It's christ because I didn't say she's like she was

1108
01:05:24,280 --> 01:05:25,919
Speaker 1: calling for me, and I was like this, she thought

1109
01:05:25,920 --> 01:05:29,960
Speaker 1: you pulled a Jared Leto and just had a just no.

1110
01:05:30,040 --> 01:05:32,480
Speaker 1: But like she didn't know because she she just you know,

1111
01:05:33,000 --> 01:05:35,840
Speaker 1: scanned my corner of my bed. Did it did not register?

1112
01:05:35,880 --> 01:05:37,640
Speaker 1: And I was like, oh, this is fucking tight. Shout

1113
01:05:37,640 --> 01:05:40,040
Speaker 1: out to eat. She couldn't have just like let out

1114
01:05:40,080 --> 01:05:42,920
Speaker 1: one miles. I didn't know, but my I was. I

1115
01:05:42,960 --> 01:05:44,480
Speaker 1: was a you know, I'm a shitty four year old

1116
01:05:44,520 --> 01:05:49,000
Speaker 1: and on my she's fucking crying and then I'd be like, mom,

1117
01:05:49,320 --> 01:05:53,280
Speaker 1: come on, and then she gave me the smoke. Yeah.

1118
01:05:53,360 --> 01:05:55,040
Speaker 1: Nick has put a pleasure of having. Oh my god,

1119
01:05:55,040 --> 01:05:57,640
Speaker 1: thank you so much. It's my favorite place on earth.

1120
01:05:57,800 --> 01:06:01,400
Speaker 1: Back to the street, where keep on knocking? Baby? Where

1121
01:06:01,400 --> 01:06:04,960
Speaker 1: can People find you? Just check out the podcast recently

1122
01:06:05,000 --> 01:06:09,000
Speaker 1: added where I tell people which Netflix movies are good

1123
01:06:09,040 --> 01:06:11,480
Speaker 1: and which ones are bad. You can start with two

1124
01:06:11,520 --> 01:06:16,840
Speaker 1: weeks ago and a host our best episode ever, the

1125
01:06:16,880 --> 01:06:20,920
Speaker 1: only good guest we've ever had, not familiar? Who is it?

1126
01:06:21,440 --> 01:06:26,800
Speaker 1: What's that? Oh? She's your producer, the only other person

1127
01:06:27,320 --> 01:06:34,200
Speaker 1: your legal name, superproducer and super producercer. Is there a

1128
01:06:34,200 --> 01:06:36,800
Speaker 1: tweet you've been enjoyance? Oh my gosh, I have been

1129
01:06:36,880 --> 01:06:39,280
Speaker 1: enjoying this tweet every day for the last eight days.

1130
01:06:40,040 --> 01:06:43,640
Speaker 1: All right. It is from Bowen Yang. Yes, and the

1131
01:06:43,640 --> 01:06:47,360
Speaker 1: tweet is when God closes a game stop, he opens

1132
01:06:47,400 --> 01:06:55,240
Speaker 1: an escape room that is to miles Where can people

1133
01:06:55,240 --> 01:06:58,320
Speaker 1: find You? You can find me and follow me on

1134
01:06:58,360 --> 01:07:04,240
Speaker 1: Twitter and Instagram at miles of gray. Uh, let's see

1135
01:07:04,360 --> 01:07:07,360
Speaker 1: And a tweet that I like, just something I think

1136
01:07:07,440 --> 01:07:12,080
Speaker 1: is very interesting. Uh, you know cauliflower US it's very popular. Uh.

1137
01:07:12,160 --> 01:07:18,480
Speaker 1: And Dane Smith Dannis Smith or Underscore Smith smif wrote this.

1138
01:07:18,600 --> 01:07:20,160
Speaker 1: It says no one has had a bigger globe in

1139
01:07:20,160 --> 01:07:22,320
Speaker 1: the last ten years, and cauliflower and we were being

1140
01:07:22,320 --> 01:07:25,880
Speaker 1: an ashy broccoli to being the mystique of vegetables always

1141
01:07:25,880 --> 01:07:27,720
Speaker 1: coming at you with a new shape. You want rice,

1142
01:07:27,920 --> 01:07:31,040
Speaker 1: mashed potatoes, pasta, cheese, a man, low cost housing, make

1143
01:07:31,080 --> 01:07:35,520
Speaker 1: it from cauliflower. That's good. I totally agree. And yeah,

1144
01:07:35,520 --> 01:07:37,800
Speaker 1: I mean, like I just had the cauliflower pizza for

1145
01:07:37,840 --> 01:07:42,240
Speaker 1: the first time, power or whatever, and I'm like, it's

1146
01:07:42,280 --> 01:07:47,760
Speaker 1: not bad. I've made cauliflower pizza before. Um, the cauliflarer clusters. Yeah,

1147
01:07:47,800 --> 01:07:50,680
Speaker 1: with no flower in it, with dressed cauliflower and cheese,

1148
01:07:51,200 --> 01:07:55,400
Speaker 1: and it is impossible. It just falls apart. You have

1149
01:07:55,520 --> 01:07:58,959
Speaker 1: to get the cauliflower so dry that you can't want

1150
01:07:59,000 --> 01:08:02,120
Speaker 1: the pizza in it in that day. You have to

1151
01:08:02,200 --> 01:08:05,439
Speaker 1: let the cauliflower dry for days or else it's gonna

1152
01:08:05,480 --> 01:08:07,600
Speaker 1: be too wet and it's never gonna work. Well, that's

1153
01:08:07,640 --> 01:08:09,760
Speaker 1: why I just buy it something. I get the cheese

1154
01:08:09,760 --> 01:08:14,240
Speaker 1: cloth specifically, for Yeah, and then you just squeeze. I

1155
01:08:14,280 --> 01:08:16,960
Speaker 1: would just spend hours like squeezing out the water of

1156
01:08:17,000 --> 01:08:19,000
Speaker 1: this cheese cloth, and then it's just still too wet.

1157
01:08:19,200 --> 01:08:20,560
Speaker 1: You couldn't just put a bunch of weights on it

1158
01:08:20,600 --> 01:08:22,880
Speaker 1: and let it like naturally press out like that. This thing,

1159
01:08:23,720 --> 01:08:27,160
Speaker 1: this is my word, this is my workout. I didn't have.

1160
01:08:27,160 --> 01:08:29,639
Speaker 1: I couldn't afford the weights. So you know the bench

1161
01:08:29,640 --> 01:08:31,400
Speaker 1: press that you have at your house, just take the

1162
01:08:31,400 --> 01:08:35,439
Speaker 1: weights from Yeah, that's why I just got the one

1163
01:08:35,479 --> 01:08:43,400
Speaker 1: big arm. Tweet I enjoyed is from the classic Megan

1164
01:08:43,479 --> 01:08:46,720
Speaker 1: amerund at Megan Amer and tweeted pm ratta to a

1165
01:08:46,800 --> 01:08:48,519
Speaker 1: rat lives in my mouth and gives you a great

1166
01:08:48,520 --> 01:09:05,960
Speaker 1: blow job. Seriously, she already has one, doesn't emmy for Megan? Uh.

1167
01:09:06,240 --> 01:09:09,000
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

1168
01:09:09,000 --> 01:09:11,200
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

1169
01:09:11,240 --> 01:09:13,759
Speaker 1: at the Daily Zeitgeist on Instagram, we have a Facebook

1170
01:09:13,800 --> 01:09:16,160
Speaker 1: fan page, and The Daily Zeitgeist does a production of

1171
01:09:16,240 --> 01:09:19,519
Speaker 1: iHeart Radio. For more podcasts from my Heart Radio, is

1172
01:09:19,560 --> 01:09:22,759
Speaker 1: it the I Heart Radio app, Apple podcast or wherever

1173
01:09:22,800 --> 01:09:25,599
Speaker 1: you listen to your favorite chose. We also have website

1174
01:09:25,680 --> 01:09:28,320
Speaker 1: daily zis dot com where we post our episodes and

1175
01:09:28,400 --> 01:09:31,000
Speaker 1: our footnote where we link off to the information that

1176
01:09:31,000 --> 01:09:33,680
Speaker 1: we talked about in today's episode, as well as the

1177
01:09:33,720 --> 01:09:36,240
Speaker 1: song that we ride out on. Miles. What are we

1178
01:09:36,320 --> 01:09:39,679
Speaker 1: riding into this fine weekend? We're going to ride a wave,

1179
01:09:40,439 --> 01:09:44,280
Speaker 1: more specific a track called Atlantic dot Wave W A V.

1180
01:09:44,520 --> 01:09:46,320
Speaker 1: I thought it was gonna be serving us by the

1181
01:09:46,320 --> 01:09:51,880
Speaker 1: beach Boys. No, no, no, no, uh this is from

1182
01:09:52,680 --> 01:10:00,920
Speaker 1: uh upper class Yeah, ok, no matter what. Uh yeah right,

1183
01:10:00,960 --> 01:10:05,240
Speaker 1: it's just burned me right yeah, upper classic producer I

1184
01:10:05,240 --> 01:10:08,720
Speaker 1: believe from Germany. Um, so yeah, just check this out

1185
01:10:08,720 --> 01:10:12,360
Speaker 1: Atlantic Wave. It has oddly enough Um actually, no, this

1186
01:10:12,439 --> 01:10:14,599
Speaker 1: is a different song. I thought it has a sample

1187
01:10:14,640 --> 01:10:18,839
Speaker 1: from an artist called John Bath, but that's so inside baseball.

1188
01:10:18,880 --> 01:10:20,080
Speaker 1: I don't even know why I said that out loud.

1189
01:10:20,120 --> 01:10:23,200
Speaker 1: So this is Atlantic Wave by Upper Class. You thought

1190
01:10:23,240 --> 01:10:26,640
Speaker 1: Atlantic Wave was one with the John Bat sample. Yeah,

1191
01:10:27,120 --> 01:10:35,559
Speaker 1: the fun is going on with miles your miles away right,

1192
01:10:35,680 --> 01:10:38,280
Speaker 1: ride out on that. We'll be back on Monday. You guys,

1193
01:10:38,360 --> 01:10:40,680
Speaker 1: have a great weekend and a great Mother's Day. Call

1194
01:10:40,760 --> 01:10:44,760
Speaker 1: your mother, get her flowers, tell her you love her,

1195
01:10:45,200 --> 01:10:48,120
Speaker 1: thank her for everything she did for you. Said yeah,

1196
01:10:48,240 --> 01:11:07,519
Speaker 1: tell you all right, guys back and not killed you

1197
01:11:13,000 --> 01:11:21,040
Speaker 1: and not kill you and not kill you