1
00:00:00,160 --> 00:00:02,200
Speaker 1: Friend's biggest stories of the day.

2
00:00:02,360 --> 00:00:05,840
Speaker 2: So we had tornadoes this weekend while we meaning this

3
00:00:05,920 --> 00:00:09,040
Speaker 2: country did we not meaning me specifically or any of you,

4
00:00:09,119 --> 00:00:13,480
Speaker 2: I hope. So your weather system spawned a tornado outbreak

5
00:00:13,480 --> 00:00:14,880
Speaker 2: in parts of the Midwest and the Plains.

6
00:00:14,920 --> 00:00:16,320
Speaker 1: Four people were confirmed.

7
00:00:16,000 --> 00:00:19,120
Speaker 2: Dead in Michigan on Friday, and the deadliest tornado outbreak

8
00:00:19,800 --> 00:00:23,160
Speaker 2: that the state has seen in decades. The strongest twister

9
00:00:23,400 --> 00:00:25,720
Speaker 2: was an EF three. Now you're a weather guy, Jason,

10
00:00:26,239 --> 00:00:30,600
Speaker 2: I know you love a weather situation, of meteorology, situation situation.

11
00:00:31,760 --> 00:00:34,680
Speaker 2: We're try of the meteorologists that you're into the right.

12
00:00:35,040 --> 00:00:37,560
Speaker 1: More than the science. Yeah, yeah, I'm here hot.

13
00:00:38,479 --> 00:00:42,480
Speaker 2: But an EF three tornado tour through Union City, killing

14
00:00:42,479 --> 00:00:45,879
Speaker 2: three people, and that was the deadliest twister to hit

15
00:00:45,920 --> 00:00:48,720
Speaker 2: Michigan since nineteen eighty And that one was in Kalambazoo,

16
00:00:48,760 --> 00:00:50,479
Speaker 2: which I know you know that because you're a weather historian.

17
00:00:51,000 --> 00:00:51,279
Speaker 1: Of course.

18
00:00:51,320 --> 00:00:54,280
Speaker 2: In Oklahoma and EF two tornado killed a mother and daughter,

19
00:00:54,720 --> 00:00:57,960
Speaker 2: while another twister left two dead. Over a dozen confirmed

20
00:00:58,000 --> 00:01:01,360
Speaker 2: tornadoes have touchdown in both states over the past few days.

21
00:01:01,800 --> 00:01:04,240
Speaker 2: If you're going to the airport in the next few days,

22
00:01:04,360 --> 00:01:07,600
Speaker 2: I have bad news again. There's a partial government shutdown

23
00:01:07,640 --> 00:01:11,759
Speaker 2: going on again, and travelers are complaining about long wait

24
00:01:12,120 --> 00:01:14,880
Speaker 2: lasting hours and hours in some cases in Houston and

25
00:01:14,880 --> 00:01:19,160
Speaker 2: New Orleans, three to four hours. They're saying, three to

26
00:01:19,240 --> 00:01:22,720
Speaker 2: four hours of security lines to get to the gate

27
00:01:23,200 --> 00:01:26,560
Speaker 2: so that I can go get my cinnabon. I got

28
00:01:26,560 --> 00:01:28,600
Speaker 2: to wait three to four hours to get my cinabi

29
00:01:28,760 --> 00:01:32,839
Speaker 2: to go to Chili's two right into the macaroni grill.

30
00:01:34,520 --> 00:01:36,880
Speaker 2: You know, people swear about a frontra in O'Hare. They

31
00:01:36,880 --> 00:01:38,760
Speaker 2: swear every time I walk by, it's like there's a

32
00:01:38,880 --> 00:01:40,280
Speaker 2: line around the building. I'm like, you know, they got

33
00:01:40,319 --> 00:01:42,640
Speaker 2: a few of these, like they got real restaurants. You

34
00:01:42,640 --> 00:01:44,440
Speaker 2: don't have to Maybe it's the best of the options.

35
00:01:44,440 --> 00:01:48,000
Speaker 2: I don't know, but officials are blaming these long lines.

36
00:01:48,040 --> 00:01:51,240
Speaker 2: When the government shutdown, the estimated wait time at the

37
00:01:51,280 --> 00:01:54,720
Speaker 2: standard security checkpoint at William P. Hobby Airport in Houston

38
00:01:55,040 --> 00:01:57,720
Speaker 2: was at one point three hours. The Hobby Airport and

39
00:01:57,760 --> 00:02:01,320
Speaker 2: social media said that it was expecting longer lines and

40
00:02:01,360 --> 00:02:04,120
Speaker 2: the average to arrive three to four hours early, in

41
00:02:04,120 --> 00:02:09,000
Speaker 2: some cases four to five hours early for your flight. Now,

42
00:02:09,040 --> 00:02:12,080
Speaker 2: you know, if I show up five hours early, then

43
00:02:12,120 --> 00:02:14,760
Speaker 2: I'll walk right through. If I show up an hour early,

44
00:02:15,240 --> 00:02:17,680
Speaker 2: it'll be four hours long. That's just how it works.

45
00:02:18,160 --> 00:02:20,800
Speaker 2: If I'm early, I just cruise through. They don't even

46
00:02:20,800 --> 00:02:22,679
Speaker 2: they don't even scan my bag. They just wave at me,

47
00:02:23,480 --> 00:02:25,000
Speaker 2: you know what. They don't check my I D nothing,

48
00:02:25,160 --> 00:02:26,720
Speaker 2: you know, they just go way Ford. How you doing

49
00:02:26,760 --> 00:02:28,600
Speaker 2: the flights over there? You know? And I just walk

50
00:02:28,720 --> 00:02:30,400
Speaker 2: right so you can come through the exit this time.

51
00:02:30,440 --> 00:02:33,360
Speaker 2: It's fine, you know, like we know you you're good.

52
00:02:33,480 --> 00:02:33,720
Speaker 3: Yeah.

53
00:02:33,760 --> 00:02:35,480
Speaker 2: But if I show up and I've got fifteen minutes

54
00:02:35,480 --> 00:02:37,720
Speaker 2: to spare because there was traffic or something, It'll be like,

55
00:02:37,720 --> 00:02:40,200
Speaker 2: oh no, take your pants off, bro, you know we're

56
00:02:40,240 --> 00:02:42,560
Speaker 2: gonna be here for a while. They pull out some swab,

57
00:02:42,720 --> 00:02:46,079
Speaker 2: like what is this? Go to the back room, Yes exactly.

58
00:02:46,960 --> 00:02:48,840
Speaker 2: I mean you were traveling, how long was you? You

59
00:02:48,880 --> 00:02:51,360
Speaker 2: had VIP treatment? I noticed it was so beautiful, But

60
00:02:51,360 --> 00:02:52,920
Speaker 2: I mean, did you have to go through normal security

61
00:02:53,000 --> 00:02:54,679
Speaker 2: or did you get like fanned the whole time?

62
00:02:54,680 --> 00:02:57,520
Speaker 4: And they didn't in Chicago, I had to be regular

63
00:02:57,680 --> 00:02:59,560
Speaker 4: but out of town? About which tree you are nicer?

64
00:02:59,600 --> 00:03:03,080
Speaker 4: Which is so New York was beautiful, but Chicago was like, ma'am,

65
00:03:03,320 --> 00:03:06,240
Speaker 4: I actually went through the like priority line to check

66
00:03:06,320 --> 00:03:08,840
Speaker 4: my bag, and the girl told me just go up

67
00:03:08,840 --> 00:03:10,680
Speaker 4: to the front. I get to the front, She's like,

68
00:03:10,800 --> 00:03:12,560
Speaker 4: you have pre check. I was like no, She's like,

69
00:03:12,600 --> 00:03:14,600
Speaker 4: you have clear I was like no. She said back

70
00:03:14,600 --> 00:03:18,160
Speaker 4: to the line, broken way to the bag and wait

71
00:03:18,240 --> 00:03:21,359
Speaker 4: in line with everybody else. And now I'm considering tsa

72
00:03:21,440 --> 00:03:22,760
Speaker 4: pre check for once in my life.

73
00:03:22,800 --> 00:03:24,639
Speaker 1: You need to do it. It's time. It is time.

74
00:03:25,200 --> 00:03:27,320
Speaker 2: Look like a Staples and get it now, can't you

75
00:03:27,400 --> 00:03:29,920
Speaker 2: like when I got it a million years ago. You

76
00:03:29,919 --> 00:03:32,200
Speaker 2: had to drive to the airport and you had to

77
00:03:32,240 --> 00:03:34,360
Speaker 2: park your car like you were going somewhere.

78
00:03:34,240 --> 00:03:34,600
Speaker 1: By the way.

79
00:03:34,680 --> 00:03:36,880
Speaker 2: Yeah, going to the airport where you're not going anywhere.

80
00:03:36,880 --> 00:03:39,520
Speaker 2: It is very like is not to pick someone that

81
00:03:39,520 --> 00:03:42,360
Speaker 2: you love up is very depressing. Like I'm sitting in

82
00:03:42,400 --> 00:03:43,680
Speaker 2: trying for an hour and a half. At least, I'm

83
00:03:43,680 --> 00:03:46,440
Speaker 2: excited to go to my destination. No, I pulled up,

84
00:03:46,920 --> 00:03:49,400
Speaker 2: walked in, no bag. No, you know I had to

85
00:03:49,400 --> 00:03:53,920
Speaker 2: sit there for a while, get interviewed. Yeah, yeah, no,

86
00:03:54,200 --> 00:03:56,400
Speaker 2: it's time. No, it really is time. Like I thought

87
00:03:56,400 --> 00:03:58,080
Speaker 2: of you because there were so many people just walking

88
00:03:58,120 --> 00:03:58,480
Speaker 2: past me.

89
00:03:59,400 --> 00:04:03,000
Speaker 3: Maybe start a real real ide first, Maybe, well you

90
00:04:03,040 --> 00:04:12,200
Speaker 3: are't talking realize I got an appointment, but you don't

91
00:04:12,240 --> 00:04:14,280
Speaker 3: even have to realize you have the appointment in the

92
00:04:14,280 --> 00:04:14,800
Speaker 3: real idea.

93
00:04:14,960 --> 00:04:23,080
Speaker 1: We've had so many will never show up. She blocked

94
00:04:23,080 --> 00:04:24,800
Speaker 1: a place out of the whole day and never gos

95
00:04:26,520 --> 00:04:30,520
Speaker 1: get it in order. But that's crazy.

96
00:04:30,760 --> 00:04:32,680
Speaker 2: I was in Charlotte last week and I got to

97
00:04:32,720 --> 00:04:34,720
Speaker 2: the airport and I walk in there and they have

98
00:04:34,839 --> 00:04:38,080
Speaker 2: like the regular security, you know, the regular schmegular, and

99
00:04:38,120 --> 00:04:39,960
Speaker 2: then they have the t S A pre check, which

100
00:04:39,960 --> 00:04:42,520
Speaker 2: of course I have because you know, of course I do.

101
00:04:42,920 --> 00:04:46,919
Speaker 1: And global entry. You need global entry too, what's that?

102
00:04:46,880 --> 00:04:49,200
Speaker 2: That's only if you're traveling, which I don't travel that

103
00:04:49,600 --> 00:04:50,960
Speaker 2: off and you know, out of the country.

104
00:04:50,960 --> 00:04:53,719
Speaker 1: But like it's pretty like that is what I described.

105
00:04:53,760 --> 00:04:56,800
Speaker 1: Are you like every continent this year? I'm trying to but.

106
00:04:56,680 --> 00:04:59,000
Speaker 2: They're like they did scan your face and you're like, hey,

107
00:04:59,160 --> 00:05:02,600
Speaker 2: you're cool, bro, welcome back, welcome back, homie, Like they

108
00:05:02,680 --> 00:05:06,080
Speaker 2: just skin good. Kiki saw it firsthand coming back from

109
00:05:06,320 --> 00:05:08,159
Speaker 2: Toronto and oh boy.

110
00:05:08,240 --> 00:05:10,039
Speaker 4: He's a pilot. So I was like, oh, hey, he

111
00:05:10,160 --> 00:05:11,800
Speaker 4: got it because he's a pilot. Then I saw our

112
00:05:11,839 --> 00:05:12,600
Speaker 4: boats go I'm like.

113
00:05:12,560 --> 00:05:16,360
Speaker 2: It's not a pilot, yeah, pilot is great. It's any

114
00:05:16,400 --> 00:05:22,960
Speaker 2: pilot of anything. I just flashed my pilot slcense. Everywhere

115
00:05:22,960 --> 00:05:25,960
Speaker 2: I go they just let me through. You don't do that, Yeah,

116
00:05:26,040 --> 00:05:28,720
Speaker 2: they don't care, but I see it. There's like no

117
00:05:28,839 --> 00:05:31,599
Speaker 2: line for normal security, and then there's like a line

118
00:05:31,680 --> 00:05:35,240
Speaker 2: for pre check, and I'm like, I don't want to

119
00:05:35,240 --> 00:05:37,039
Speaker 2: take my shoes off. So I waited in line. I

120
00:05:37,040 --> 00:05:39,200
Speaker 2: waited in line. I could have gone to the other one.

121
00:05:39,320 --> 00:05:40,880
Speaker 2: I would have had to taken my shoes off. That's

122
00:05:40,920 --> 00:05:42,839
Speaker 2: all that would have happened. And I would have you know,

123
00:05:42,880 --> 00:05:45,080
Speaker 2: I would have been at the Chilis to go way faster.

124
00:05:45,680 --> 00:05:48,560
Speaker 2: But instead I'm like, no, no, no, I'll wait for

125
00:05:48,600 --> 00:05:52,480
Speaker 2: TSA pre check. It's fine, big long line anyway. So

126
00:05:52,480 --> 00:05:54,040
Speaker 2: I guess you supposed show up to the airport four

127
00:05:54,040 --> 00:05:54,840
Speaker 2: to five hours early.

128
00:05:54,960 --> 00:05:57,400
Speaker 4: Now, yeah, it's wild at the airport right now.

129
00:05:59,520 --> 00:06:02,560
Speaker 2: So this is for you, Paulina. You know, I like

130
00:06:02,640 --> 00:06:04,880
Speaker 2: to tailor the biggest stories of the day to all

131
00:06:04,880 --> 00:06:07,520
Speaker 2: of you in this room. Using too many AI tools

132
00:06:07,520 --> 00:06:10,760
Speaker 2: can cause brain fry. This is according to a new study.

133
00:06:11,000 --> 00:06:15,440
Speaker 2: They suggest that AI may be giving some workers what

134
00:06:15,520 --> 00:06:18,120
Speaker 2: researchers are calling brain fry. The study from The Harvard

135
00:06:18,160 --> 00:06:21,920
Speaker 2: Business Review, which I trust at, found that people are

136
00:06:22,000 --> 00:06:25,400
Speaker 2: constantly using multiple AI tools, those people reported more.

137
00:06:25,279 --> 00:06:26,960
Speaker 1: Decision fatigue and more errors.

138
00:06:27,200 --> 00:06:29,960
Speaker 2: The study also found that AI can reduce burnout as

139
00:06:30,040 --> 00:06:33,279
Speaker 2: well as creative The study revealed that less brain fry

140
00:06:33,760 --> 00:06:36,960
Speaker 2: was seen among employees whose managers were intentional with their

141
00:06:36,960 --> 00:06:41,039
Speaker 2: AI use. One consulting group and the author of the

142
00:06:41,040 --> 00:06:43,760
Speaker 2: studies says the findings are an early warning sign that

143
00:06:43,880 --> 00:06:48,960
Speaker 2: expectations around AI productivity may need recalibrating. I think we

144
00:06:49,000 --> 00:06:51,200
Speaker 2: mentioned this last week, but it's been confirmed. Bad Bunni's

145
00:06:51,200 --> 00:06:54,400
Speaker 2: halftime show shattered records. The Super Bowl halftime show was

146
00:06:54,480 --> 00:06:57,880
Speaker 2: bigger than originally thought. Apple Music, the NFL, and Rock

147
00:06:57,960 --> 00:07:00,960
Speaker 2: Nation are confirming that Bad Bunni's halftime show shattered the

148
00:07:01,000 --> 00:07:05,840
Speaker 2: global viewership record. The Apple Music Super Bowl sixty halftime

149
00:07:05,880 --> 00:07:09,680
Speaker 2: show Rolls Off the Tongue drew over four point one

150
00:07:09,880 --> 00:07:13,320
Speaker 2: billion views worldwide Baby in twenty four hours across the

151
00:07:13,440 --> 00:07:15,400
Speaker 2: global broadcast. So for all of you who made a

152
00:07:15,400 --> 00:07:19,040
Speaker 2: big stink about not bad money not doing it, all

153
00:07:19,080 --> 00:07:21,000
Speaker 2: you did, I think was draw more eyes to it.

154
00:07:21,280 --> 00:07:23,440
Speaker 2: So that's the thing, you know, when people are like,

155
00:07:23,520 --> 00:07:26,880
Speaker 2: oh my god, this is terrible. This is so terrible

156
00:07:26,880 --> 00:07:29,600
Speaker 2: for the world. Okay, well I gotta check this out.

157
00:07:30,640 --> 00:07:32,000
Speaker 2: I gotta make sure I watch that.

158
00:07:32,160 --> 00:07:34,320
Speaker 3: But also like, okay, think about it, like your family

159
00:07:34,400 --> 00:07:36,520
Speaker 3: back in like Columbia or something like, people were watching

160
00:07:36,560 --> 00:07:38,680
Speaker 3: all over the world because well, hey, they love bad

161
00:07:38,680 --> 00:07:40,640
Speaker 3: Money and they know who he is, like, no shade,

162
00:07:40,640 --> 00:07:42,360
Speaker 3: no tea. I don't think you know, my family back

163
00:07:42,360 --> 00:07:44,280
Speaker 3: in wherever is going to watch you know the who

164
00:07:44,320 --> 00:07:46,840
Speaker 3: Like now people aren't having parties and tuning in front.

165
00:07:46,760 --> 00:07:49,800
Speaker 1: Of it was a huge in Poland's huge jar. Well

166
00:07:49,880 --> 00:07:50,480
Speaker 1: you would know.

167
00:07:50,560 --> 00:07:53,600
Speaker 3: I went into However, all I know is that bad

168
00:07:53,640 --> 00:07:54,400
Speaker 3: Bunny did his thing.

169
00:07:54,720 --> 00:07:55,040
Speaker 1: That's it.

170
00:07:55,080 --> 00:07:57,360
Speaker 2: I would know because I'm going to Poland next month,

171
00:07:58,240 --> 00:08:01,040
Speaker 2: my ambassador. Yeah, okay, well I gotta go and that

172
00:08:01,120 --> 00:08:04,360
Speaker 2: I'll come back and report on how big your mom's

173
00:08:04,360 --> 00:08:06,880
Speaker 2: got to be stoked excited. I'm going to the homeland.

174
00:08:07,440 --> 00:08:08,360
Speaker 2: I'm going to the homeland.

175
00:08:09,200 --> 00:08:09,440
Speaker 4: I know.

176
00:08:09,840 --> 00:08:16,120
Speaker 2: Well, today I'm attending. That could change tomorrow. We're depending

177
00:08:16,160 --> 00:08:17,800
Speaker 2: on what these bozos around here side.

178
00:08:18,080 --> 00:08:20,080
Speaker 1: Yeah. Really, I have not seen a.

179
00:08:20,080 --> 00:08:22,880
Speaker 2: Ticket yet, but I have been invited to Poland by

180
00:08:22,920 --> 00:08:24,480
Speaker 2: the Country of Poland.

181
00:08:24,120 --> 00:08:26,720
Speaker 1: Supposedly period the country.

182
00:08:27,160 --> 00:08:32,200
Speaker 2: Via a woman named Cocaine. There's a woman in negotiating this.

183
00:08:32,280 --> 00:08:33,600
Speaker 1: She's just going to meet you in the back alley

184
00:08:33,600 --> 00:08:35,600
Speaker 1: with Yeah, I know.

185
00:08:35,720 --> 00:08:39,000
Speaker 2: She now has my ID and my passport information which

186
00:08:39,000 --> 00:08:41,400
Speaker 2: I heard from her and my Social Security member. For

187
00:08:41,400 --> 00:08:43,480
Speaker 2: some reason, she wanted my bank routing information.

188
00:08:43,600 --> 00:08:44,280
Speaker 1: I don't know why.

189
00:08:44,720 --> 00:08:47,040
Speaker 2: All I know is she has all of that and

190
00:08:47,160 --> 00:08:49,520
Speaker 2: I haven't heard a word. But supposedly I'm going to

191
00:08:49,520 --> 00:08:52,319
Speaker 2: Poland next month. I don't know. Well, yeah, well we'll

192
00:08:52,360 --> 00:08:54,840
Speaker 2: see the Motherland. I gotta go get in line now,

193
00:08:55,240 --> 00:08:56,840
Speaker 2: just in case I am going.

194
00:08:56,880 --> 00:09:02,000
Speaker 1: It's it's it's what I'm about, going to Europe. We're

195
00:09:02,000 --> 00:09:04,000
Speaker 1: going on our own honeymoon. We're going.

196
00:09:05,240 --> 00:09:07,120
Speaker 2: Give me don't get me started on that. I will

197
00:09:07,120 --> 00:09:09,440
Speaker 2: not Well that's a topic for another day. But yes,

198
00:09:09,640 --> 00:09:11,960
Speaker 2: I am taking myself on a honeymoon this year. I

199
00:09:12,000 --> 00:09:17,000
Speaker 2: decided it's not happening in real life, so I'm I'm uh, yeah.

200
00:09:16,960 --> 00:09:18,199
Speaker 1: Be the change you want to see.

201
00:09:18,480 --> 00:09:21,200
Speaker 2: Fred Hayter, what's his name is not it's not Lauren.

202
00:09:21,240 --> 00:09:23,280
Speaker 2: He just he lets us call him by his wife's name,

203
00:09:23,280 --> 00:09:27,400
Speaker 2: which is because he's yeah, Fred's opinion, if it doesn't

204
00:09:27,440 --> 00:09:28,880
Speaker 2: match mine, then it's wrong?

205
00:09:29,559 --> 00:09:32,520
Speaker 1: What did I what have we disagreed about? Also? Like

206
00:09:33,000 --> 00:09:36,040
Speaker 1: what I mean, I do have a lot of My

207
00:09:36,120 --> 00:09:37,920
Speaker 1: opinion is pretty great at.

208
00:09:37,800 --> 00:09:39,480
Speaker 4: About seven am with a disagreement.

209
00:09:39,600 --> 00:09:41,560
Speaker 2: Yeah, I was gonna say, I think we've all been

210
00:09:41,559 --> 00:09:43,120
Speaker 2: pretty copasetic so far today.

211
00:09:43,880 --> 00:09:45,680
Speaker 1: Yeah, he just had to get that in there. You

212
00:09:45,720 --> 00:09:45,920
Speaker 1: know it.

213
00:09:46,160 --> 00:09:48,000
Speaker 2: She's not a day unless someone tells me how much

214
00:09:48,040 --> 00:09:50,559
Speaker 2: I suck. Thank you for listening.

215
00:09:50,720 --> 00:09:54,320
Speaker 1: Again. This guy's been listening for years, so he's a

216
00:09:54,520 --> 00:09:59,079
Speaker 1: one and I love that. I do too. I do too. Yeah.

217
00:09:59,160 --> 00:10:03,280
Speaker 2: I can't imagine and complaining about something every single day. Yeah, like,

218
00:10:03,280 --> 00:10:05,480
Speaker 2: what a miserable way to start your day and then

219
00:10:05,600 --> 00:10:08,840
Speaker 2: quoting the thing that I hate so much. It's amazing. Anyway,

220
00:10:08,880 --> 00:10:11,000
Speaker 2: have a good day, John, Sure, the people at Butler

221
00:10:11,080 --> 00:10:14,360
Speaker 2: are really proud of you. Gen Z is bringing back

222
00:10:14,440 --> 00:10:19,760
Speaker 2: mall shopping. Now we want mall shopping. Younger consumers are

223
00:10:19,920 --> 00:10:22,520
Speaker 2: heading back to the stores, I guess, motivated by TikTok

224
00:10:22,600 --> 00:10:25,800
Speaker 2: influencers and a desire for hands on experiences. Last year,

225
00:10:25,840 --> 00:10:29,200
Speaker 2: buyers between eighteen and twenty four purchased sixty two percent

226
00:10:29,240 --> 00:10:32,800
Speaker 2: of their goods in person. In response, malls are retrofitting

227
00:10:32,840 --> 00:10:35,679
Speaker 2: spaces with social media friendly designs.

228
00:10:36,080 --> 00:10:40,240
Speaker 1: Oh what does that mean? Little photo activation? Probably stepping

229
00:10:40,320 --> 00:10:43,080
Speaker 1: repeats everywhere. I don't know what safety booths. Yeah, have

230
00:10:43,120 --> 00:10:45,480
Speaker 1: you been to the mall lately? Like there's places to

231
00:10:45,520 --> 00:10:48,000
Speaker 1: go in just to take Instagram photos. There's all those

232
00:10:48,080 --> 00:10:51,200
Speaker 1: like international markets that are like you can take photos

233
00:10:51,200 --> 00:10:54,000
Speaker 1: like it's crazy. Yeah, Like there's stores everywhere, so now

234
00:10:54,040 --> 00:10:55,480
Speaker 1: to go get you're not gonna sell man.

235
00:10:55,400 --> 00:10:56,839
Speaker 2: To go get some underwear, I got to take a

236
00:10:56,880 --> 00:11:01,800
Speaker 2: three six shot with your shopping doing a little boogie like.

237
00:11:01,760 --> 00:11:02,600
Speaker 1: My skims bag.

238
00:11:02,800 --> 00:11:05,040
Speaker 4: Yeah. Right, So they should do that though, like for

239
00:11:05,160 --> 00:11:07,400
Speaker 4: fitting rooms, because girls like to go in there and

240
00:11:07,400 --> 00:11:09,720
Speaker 4: do their try on halls. They don't buy anything, but

241
00:11:09,760 --> 00:11:11,840
Speaker 4: they go in there and playing on people clothes and.

242
00:11:13,320 --> 00:11:16,160
Speaker 1: Yeah, so it could happen. Yeah, I don't know.

243
00:11:16,679 --> 00:11:19,160
Speaker 2: I will say that there are a number of things,

244
00:11:19,440 --> 00:11:22,240
Speaker 2: and especially as it comes to like variet. I mean,

245
00:11:22,400 --> 00:11:23,959
Speaker 2: so you have all the variety in the world on

246
00:11:24,000 --> 00:11:26,440
Speaker 2: the internet, right, you can get anything you possibly want,

247
00:11:26,480 --> 00:11:28,319
Speaker 2: you can watch anything you want, you can buy anything

248
00:11:28,400 --> 00:11:31,280
Speaker 2: you want, even to our detriment. But there was something

249
00:11:31,320 --> 00:11:34,280
Speaker 2: about going to the mall, like with your friends on

250
00:11:34,400 --> 00:11:38,240
Speaker 2: Saturday and running into other kids it was a social thing, yes,

251
00:11:38,520 --> 00:11:40,240
Speaker 2: But I don't know how many kids even care about

252
00:11:40,240 --> 00:11:42,920
Speaker 2: that anymore because a lot of my friends kids, they

253
00:11:42,960 --> 00:11:44,640
Speaker 2: have a lot of friends, they just don't want to

254
00:11:44,679 --> 00:11:46,640
Speaker 2: talk to them in person. They'd rather text them or

255
00:11:46,640 --> 00:11:48,960
Speaker 2: talk to them in a video game or something. But

256
00:11:49,000 --> 00:11:51,160
Speaker 2: I mean there was something like on Saturday, like, Hey,

257
00:11:51,280 --> 00:11:52,960
Speaker 2: drive me to the mall. I meet up with my buddies.

258
00:11:52,960 --> 00:11:54,760
Speaker 2: The girl group would be there. We'd go to the

259
00:11:54,760 --> 00:11:57,120
Speaker 2: food court. My dad would give me twenty bucks or something.

260
00:11:57,320 --> 00:11:58,360
Speaker 2: We'd go to somebra ro.

261
00:11:58,800 --> 00:12:01,720
Speaker 1: Yeah we are your secret. Yeah right.

262
00:12:01,840 --> 00:12:04,040
Speaker 2: I mean, but like if you felt like there, I

263
00:12:04,040 --> 00:12:06,000
Speaker 2: mean I couldn't have money for anything, but it felt

264
00:12:06,080 --> 00:12:08,800
Speaker 2: like you could eat anything and have anything, and you

265
00:12:08,840 --> 00:12:10,720
Speaker 2: could go look at all the stuff that you aspired

266
00:12:10,760 --> 00:12:12,680
Speaker 2: to have, you know, for your birthday or whatever.

267
00:12:12,880 --> 00:12:15,680
Speaker 4: Now I don't know, like Amazon, Alexa, you know, buy

268
00:12:15,760 --> 00:12:17,680
Speaker 4: me this and then it just comes.

269
00:12:17,880 --> 00:12:19,760
Speaker 2: Yeah, there was just something about it, and I get it.

270
00:12:19,800 --> 00:12:22,480
Speaker 2: Like even the video store experience, if you're old enough

271
00:12:22,480 --> 00:12:25,080
Speaker 2: for that, there was something about it, even though there

272
00:12:25,080 --> 00:12:28,360
Speaker 2: were you know, I don't know, five hundred videos in

273
00:12:28,400 --> 00:12:31,360
Speaker 2: there versus the eight gazillion that you have access to now,

274
00:12:31,600 --> 00:12:34,720
Speaker 2: there was just something very like, yes, I can have

275
00:12:34,760 --> 00:12:37,480
Speaker 2: anything I want. I could watch anything I want.

276
00:12:37,600 --> 00:12:40,000
Speaker 4: You read the back of the little cover to see

277
00:12:40,000 --> 00:12:40,920
Speaker 4: what the movie is about.

278
00:12:41,120 --> 00:12:43,840
Speaker 2: You know it was great, Yeah it was, and kids

279
00:12:43,880 --> 00:12:45,120
Speaker 2: these days are not experiencing that.

280
00:12:45,440 --> 00:12:48,240
Speaker 1: But nope, watch this. Now, they're just going to rebuild.

281
00:12:48,280 --> 00:12:50,000
Speaker 2: Like all those malls that are sitting empty now they're

282
00:12:50,000 --> 00:12:52,400
Speaker 2: gonna fill them again, and then and then people will

283
00:12:52,400 --> 00:12:53,640
Speaker 2: go for a while and then they'll be empty.

284
00:12:53,679 --> 00:12:54,120
Speaker 1: And watch this.

285
00:12:54,400 --> 00:12:58,000
Speaker 2: It's like Amazon closing bookstores and opening their own. You

286
00:12:58,200 --> 00:13:01,760
Speaker 2: like you, guys, Iconic messing with us. It's National get

287
00:13:01,760 --> 00:13:05,080
Speaker 2: over a Day. It's National meatball Day, National Crab meat Day,

288
00:13:06,679 --> 00:13:09,719
Speaker 2: National Barbie Day today as well, it's a big day