1
00:00:00,160 --> 00:00:04,080
Speaker 1: Hello the Internet, and welcome to this episode of trend Zone.

2
00:00:04,640 --> 00:00:09,440
Speaker 1: Oh it sucks, man, I've been trend zoned dude, when

3
00:00:09,480 --> 00:00:13,520
Speaker 1: you tried to kill the Worst. That's courtesy of Johnny Davis. Uh,

4
00:00:13,640 --> 00:00:17,880
Speaker 1: we are talking about what is trending this afternoon. Uh

5
00:00:17,920 --> 00:00:21,760
Speaker 1: and yeah, let's talk about it. McAuley culkin is trending

6
00:00:22,720 --> 00:00:27,520
Speaker 1: because he has been added to season ten of American

7
00:00:27,560 --> 00:00:33,040
Speaker 1: Horror Story. And I yeah, some people are saying. T

8
00:00:33,280 --> 00:00:36,479
Speaker 1: j C tweeted, I never would have thought McAuley culkin

9
00:00:36,520 --> 00:00:38,760
Speaker 1: would be that big of a drawn twenty but here

10
00:00:38,800 --> 00:00:42,960
Speaker 1: we are. You know what this uh, the theme is

11
00:00:43,000 --> 00:00:48,960
Speaker 1: of this season. I don't yeah, I just what was

12
00:00:48,960 --> 00:00:52,560
Speaker 1: the last time he acted? Has he been acting? Yeah?

13
00:00:53,159 --> 00:00:55,400
Speaker 1: Using something recently? I remember when we talked about how

14
00:00:55,400 --> 00:01:01,000
Speaker 1: he totally like failed his Tarantino audition. He's been something

15
00:01:01,120 --> 00:01:05,880
Speaker 1: something recently. I mean, I know, like maybe, I don't know. Look,

16
00:01:05,920 --> 00:01:08,560
Speaker 1: I'm not an expert. Look, I'm not here to make friends.

17
00:01:08,640 --> 00:01:10,880
Speaker 1: I'm not here to make friends. I'm here to talk trends.

18
00:01:11,280 --> 00:01:14,520
Speaker 1: That's right, I'm not here to make trends. New York

19
00:01:14,520 --> 00:01:18,960
Speaker 1: Times is writing about how Maria Sharapova has retired. Yeah,

20
00:01:19,000 --> 00:01:20,560
Speaker 1: she wants the world to know it has nothing to

21
00:01:20,560 --> 00:01:23,480
Speaker 1: do with the fact that she was using steroids and

22
00:01:23,520 --> 00:01:27,200
Speaker 1: can't use them anymore, or using performance Did she ever

23
00:01:27,240 --> 00:01:31,280
Speaker 1: win a Grand Slam? Yeah? Oh yeah, yeah, she's think

24
00:01:31,319 --> 00:01:35,880
Speaker 1: she won a couple, right, She's saying that she called

25
00:01:35,920 --> 00:01:39,440
Speaker 1: perseverance her greatest tool, but said it ultimately worked against her.

26
00:01:39,560 --> 00:01:43,839
Speaker 1: She tried to push through recurring injuries. So it's basically, oh, yeah,

27
00:01:43,840 --> 00:01:46,400
Speaker 1: she know she did it. Oh she won't Wimbledon. Yeah,

28
00:01:46,959 --> 00:01:49,000
Speaker 1: Brett's kind of major. I heard of that one. Yeah,

29
00:01:49,120 --> 00:01:51,120
Speaker 1: I think that's a that's one of the big ones.

30
00:01:51,320 --> 00:01:53,880
Speaker 1: I think I remember her. You know what I'm getting

31
00:01:53,880 --> 00:01:57,960
Speaker 1: her confused with because at the time people are like, no,

32
00:01:58,160 --> 00:02:01,640
Speaker 1: she's like traditionally attractive and was going to be a

33
00:02:01,640 --> 00:02:05,800
Speaker 1: great marketing thing. I can actually play, right. Yeah, she

34
00:02:05,920 --> 00:02:09,840
Speaker 1: was very good in her day, and then towards the

35
00:02:09,960 --> 00:02:13,000
Speaker 1: end of her career got suspended for you know, using

36
00:02:13,080 --> 00:02:18,200
Speaker 1: illegal performance enhancing drugs. Wait, so is that affecting any

37
00:02:18,240 --> 00:02:21,080
Speaker 1: of her like titles or anything. No, No, No, I

38
00:02:21,080 --> 00:02:23,040
Speaker 1: mean I I believe it, like a lot of the

39
00:02:23,120 --> 00:02:26,440
Speaker 1: times people end up using that stuff to just recover

40
00:02:26,840 --> 00:02:32,480
Speaker 1: from injuries, and yeah, this podcast said it man quicker

41
00:02:32,520 --> 00:02:35,120
Speaker 1: recoveries is that she was She used to be engaged

42
00:02:35,160 --> 00:02:38,480
Speaker 1: to Sasha Buichich, the Laker, and they never got married.

43
00:02:38,520 --> 00:02:43,239
Speaker 1: Now they broke up. Sasha. I remember being at a

44
00:02:43,440 --> 00:02:47,000
Speaker 1: NBA game and he was just sitting on the scores

45
00:02:47,080 --> 00:02:49,680
Speaker 1: table during a time out, just checking out the girls,

46
00:02:49,760 --> 00:02:53,360
Speaker 1: just like looking directly into the crowd, like while the

47
00:02:53,440 --> 00:02:56,480
Speaker 1: while the time out was happening and Phil Jackson was

48
00:02:56,520 --> 00:03:00,160
Speaker 1: talking to the team, he was just staring directly into

49
00:03:00,160 --> 00:03:03,200
Speaker 1: the crowd, just being like, Hey, I mean he he's

50
00:03:03,240 --> 00:03:05,680
Speaker 1: the machine, you know what I mean? And maybe there's

51
00:03:05,720 --> 00:03:09,200
Speaker 1: just a reference to his prowess off the court. Is

52
00:03:09,200 --> 00:03:13,680
Speaker 1: that was that his nickname Lamina? That's incredible. What else trending?

53
00:03:13,680 --> 00:03:17,280
Speaker 1: Face masks is trending because a North Texas face mask

54
00:03:17,360 --> 00:03:25,240
Speaker 1: manufacturer says they can't meet the coronavirus demand. I know that. Yeah,

55
00:03:25,320 --> 00:03:29,960
Speaker 1: people are taking face masks from hospitals. It's it's wild

56
00:03:30,200 --> 00:03:33,280
Speaker 1: the right now, this manufacturer is able to make about

57
00:03:33,320 --> 00:03:36,000
Speaker 1: six hundred thousand masks a day, but they said the

58
00:03:36,040 --> 00:03:39,760
Speaker 1: demand is about a thousand times higher than that. How

59
00:03:39,880 --> 00:03:42,800
Speaker 1: was that possible? Just because it's global global, and also

60
00:03:42,920 --> 00:03:45,800
Speaker 1: because China is a huge manufacture of a lot of

61
00:03:45,800 --> 00:03:49,000
Speaker 1: these items, and because factories aren't running the same and

62
00:03:49,200 --> 00:03:53,200
Speaker 1: trade is slowing down, it's created like a greater dependency

63
00:03:53,200 --> 00:03:56,240
Speaker 1: on people who are making them, like within the country. Um,

64
00:03:56,280 --> 00:03:58,840
Speaker 1: and they're sort of like we're like we're running on

65
00:03:58,840 --> 00:04:01,560
Speaker 1: all cylinders and we still can't make meet the demand.

66
00:04:02,160 --> 00:04:05,960
Speaker 1: Hashtag I want a little Caesar's box seat is trending. Um.

67
00:04:06,280 --> 00:04:08,360
Speaker 1: This is one of those things that is just like

68
00:04:08,400 --> 00:04:13,040
Speaker 1: a uh promotional thing that is working. But it's a

69
00:04:13,080 --> 00:04:15,360
Speaker 1: seat that's made out of what looks like a little

70
00:04:15,360 --> 00:04:18,039
Speaker 1: Caesar's pizza box. It's just like a giant like a

71
00:04:18,080 --> 00:04:21,240
Speaker 1: cardboard throne. Yeah, it's kind of dope. Actually, I want

72
00:04:21,240 --> 00:04:24,000
Speaker 1: one to do you really want one? Be real? Now, Jack?

73
00:04:24,080 --> 00:04:26,479
Speaker 1: You'd bring it home, you know yeah yeah, I wouldn't

74
00:04:26,520 --> 00:04:28,680
Speaker 1: be for the office maybe yeah, for the office. It

75
00:04:28,720 --> 00:04:31,159
Speaker 1: would be dope. Actually that should be the kind of

76
00:04:31,200 --> 00:04:34,520
Speaker 1: seats we recorded, Like you should have a mountain dew throne.

77
00:04:35,080 --> 00:04:36,719
Speaker 1: I should have one made a taco bell and like

78
00:04:36,800 --> 00:04:42,320
Speaker 1: blunts just like yeah it stinks in here, uh Swisher

79
00:04:42,400 --> 00:04:45,719
Speaker 1: sweets and uh taco bell boxes just cards of taco

80
00:04:45,760 --> 00:04:48,680
Speaker 1: bell boxes. Yeah. Mostly A Dutch guy or Optimus. But

81
00:04:48,720 --> 00:04:51,559
Speaker 1: you know, beggars can't be choosers. It's true, they can't.

82
00:04:52,200 --> 00:04:55,680
Speaker 1: And jobs for miserable people is trending. I don't. I

83
00:04:55,720 --> 00:04:57,880
Speaker 1: don't have any good ones for that. Maybe we shouldn't.

84
00:04:59,160 --> 00:05:02,360
Speaker 1: Is that a Twitter to trend just like Twitter hashtag

85
00:05:02,360 --> 00:05:04,800
Speaker 1: Twitter trend And there's some funny ones in there. I

86
00:05:04,839 --> 00:05:06,800
Speaker 1: like how they just put first lady and they have

87
00:05:06,880 --> 00:05:11,839
Speaker 1: this gift sad Millennia. Um, it's not Bob the butcher,

88
00:05:11,920 --> 00:05:14,559
Speaker 1: Barbed the Baker, but most likely Diane the dip dild

89
00:05:15,000 --> 00:05:19,400
Speaker 1: Diane the Dip the dildo maker showing this these women

90
00:05:19,440 --> 00:05:24,039
Speaker 1: in a factory making dildo. It looks kind of cool. Yeah,

91
00:05:24,440 --> 00:05:29,400
Speaker 1: someone put singing for the Smiths Trumpton camera tweet copy

92
00:05:29,560 --> 00:05:33,520
Speaker 1: editor Rachel Rowling, what's the job Evan Shitty's job I

93
00:05:33,520 --> 00:05:37,760
Speaker 1: had was probably, I mean, early days it cracked, weren't great.

94
00:05:38,160 --> 00:05:41,880
Speaker 1: I was writing all the content and working for you know,

95
00:05:42,600 --> 00:05:44,919
Speaker 1: working that that. Those were the times when I was

96
00:05:46,200 --> 00:05:48,080
Speaker 1: when I was going to the same subway every day,

97
00:05:48,440 --> 00:05:53,680
Speaker 1: getting the turkey and ranch and Halapano sandwich and drinking

98
00:05:53,720 --> 00:05:57,440
Speaker 1: dot spray and chewing nicotine gum. So that's where I

99
00:05:57,480 --> 00:06:00,840
Speaker 1: was at Uh, pretty bother to me, sir. Uh. And

100
00:06:00,960 --> 00:06:04,320
Speaker 1: I was also a pool boy before that, so I

101
00:06:04,320 --> 00:06:09,200
Speaker 1: didn't know how bad Uh that job was really? Um yeah,

102
00:06:09,400 --> 00:06:11,600
Speaker 1: those were those were bad. And one time I had

103
00:06:11,640 --> 00:06:14,880
Speaker 1: to jump into the pool to uh pull a kid out.

104
00:06:14,920 --> 00:06:18,039
Speaker 1: I would say, like save a kid, but it was

105
00:06:18,120 --> 00:06:20,279
Speaker 1: literally like three ft of water, so I just like

106
00:06:20,360 --> 00:06:23,960
Speaker 1: walked over and like lifted him out. Um. But my

107
00:06:24,080 --> 00:06:26,479
Speaker 1: boss was like, uh, well you know what you do

108
00:06:26,520 --> 00:06:29,400
Speaker 1: at camp drip dry wouldn't let me go home even

109
00:06:29,440 --> 00:06:33,400
Speaker 1: though I was like in my clothes completely soaked. That's

110
00:06:33,400 --> 00:06:39,080
Speaker 1: when my phone got wet and the battery started to expand. Um,

111
00:06:39,200 --> 00:06:41,840
Speaker 1: how about you? Was the shittiest job, probably like the

112
00:06:41,960 --> 00:06:45,480
Speaker 1: retail jobs I had, Yeah, working in a T shirt

113
00:06:45,520 --> 00:06:49,480
Speaker 1: shop making custom like prints, like when he transfers with

114
00:06:49,600 --> 00:06:51,200
Speaker 1: people coming in, being like I wanted to look like

115
00:06:51,240 --> 00:06:52,960
Speaker 1: this and you're making it like that's not what I said.

116
00:06:52,960 --> 00:06:54,599
Speaker 1: I'm like, this is exactly what you said, and you

117
00:06:54,640 --> 00:06:56,160
Speaker 1: put in the sheet that you submitted to me when

118
00:06:56,200 --> 00:07:00,040
Speaker 1: I made the shirt person of interest. Uh. And and

119
00:07:00,120 --> 00:07:02,720
Speaker 1: also oh man I when I worked at the Coach

120
00:07:02,720 --> 00:07:05,479
Speaker 1: store at the mall, that was that was a vibe

121
00:07:05,480 --> 00:07:08,960
Speaker 1: too that I wasn't very interested in. And then uh,

122
00:07:09,440 --> 00:07:13,840
Speaker 1: now you know, I'm flying high baby, living the dream.

123
00:07:13,880 --> 00:07:16,440
Speaker 1: All right, well those are some things that are trending

124
00:07:16,520 --> 00:07:20,360
Speaker 1: this afternoon. We're about to get on a plane uh

125
00:07:20,400 --> 00:07:26,480
Speaker 1: and come see you suh. So yeah, well that's it

126
00:07:26,560 --> 00:07:29,160
Speaker 1: for today. We will be back tomorrow with a whole

127
00:07:29,200 --> 00:07:31,040
Speaker 1: another podcast. We'll talk to you that by the side.