1
00:00:00,360 --> 00:00:03,440
Speaker 1: It's KFI AM six forty and you're listening to the

2
00:00:03,480 --> 00:00:05,400
Speaker 1: Conway Show on demand on.

3
00:00:05,400 --> 00:00:07,040
Speaker 2: The iHeartRadio app.

4
00:00:08,320 --> 00:00:09,600
Speaker 3: Mark Thompson is here.

5
00:00:10,680 --> 00:00:13,000
Speaker 1: That's always a cool deal. Are you filling internet all

6
00:00:13,000 --> 00:00:13,319
Speaker 1: this week?

7
00:00:13,360 --> 00:00:15,480
Speaker 3: And Friday? I'll be here for co Belt.

8
00:00:15,600 --> 00:00:17,320
Speaker 1: Oh that's all right, that's a good deal.

9
00:00:17,440 --> 00:00:19,840
Speaker 3: Yeah.

10
00:00:19,880 --> 00:00:22,680
Speaker 1: I'm doing a bakery walk this weekend.

11
00:00:22,720 --> 00:00:23,279
Speaker 3: Have you heard of that?

12
00:00:23,640 --> 00:00:23,680
Speaker 4: No?

13
00:00:23,840 --> 00:00:24,520
Speaker 3: How does that work?

14
00:00:24,640 --> 00:00:26,960
Speaker 1: You get on it, you walk, and you eat big

15
00:00:27,080 --> 00:00:28,360
Speaker 1: goods for a couple hours.

16
00:00:28,400 --> 00:00:30,480
Speaker 3: That seems a lot better than a lot of other

17
00:00:30,480 --> 00:00:31,319
Speaker 3: walks I've heard about.

18
00:00:31,400 --> 00:00:33,320
Speaker 1: It's like a pub crawl for fat people.

19
00:00:33,680 --> 00:00:35,279
Speaker 3: I like it. Yeah, I like it.

20
00:00:35,560 --> 00:00:38,760
Speaker 5: Call it a marathon, but no one is running. They're

21
00:00:38,760 --> 00:00:42,960
Speaker 5: certainly eating, and that's the point. It's the La Bakery Walk.

22
00:00:43,200 --> 00:00:46,159
Speaker 5: Each of the participants have numbers, but there's nothing to

23
00:00:46,159 --> 00:00:49,560
Speaker 5: be gained by coming in first place except maybe getting

24
00:00:49,600 --> 00:00:52,440
Speaker 5: to be first in line at the next food stop.

25
00:00:52,520 --> 00:00:54,840
Speaker 1: So you just go from one bakery to another to another.

26
00:00:55,840 --> 00:00:58,080
Speaker 1: And if you love bake goods like I do, it's

27
00:00:58,080 --> 00:00:58,480
Speaker 1: a winner.

28
00:00:58,760 --> 00:01:01,800
Speaker 4: It's kind of hard up because it's like, why I'm walking,

29
00:01:02,080 --> 00:01:03,959
Speaker 4: Like I feel like I shouldn't be eating, But then

30
00:01:04,000 --> 00:01:05,600
Speaker 4: I like taste it and it's so good.

31
00:01:05,680 --> 00:01:08,200
Speaker 6: We also just ran a half marathon, so this is

32
00:01:08,240 --> 00:01:10,280
Speaker 6: a really fun follow up, a little.

33
00:01:10,000 --> 00:01:14,120
Speaker 1: Treat for Okay, here's proof that I'm right when this

34
00:01:14,120 --> 00:01:14,960
Speaker 1: guy says.

35
00:01:14,680 --> 00:01:16,040
Speaker 7: This rat a half marathon.

36
00:01:16,200 --> 00:01:17,600
Speaker 3: Wait, let me back this up.

37
00:01:17,880 --> 00:01:19,319
Speaker 7: We also just ran a half marathon.

38
00:01:19,560 --> 00:01:19,960
Speaker 3: Okay.

39
00:01:20,120 --> 00:01:23,760
Speaker 1: When somebody runs a marathon or a half marathon or

40
00:01:23,880 --> 00:01:26,840
Speaker 1: ten k, the only reason they do it is to

41
00:01:26,959 --> 00:01:30,720
Speaker 1: tell other people they did it. I find that with

42
00:01:30,959 --> 00:01:32,600
Speaker 1: marathon runners all the time.

43
00:01:32,720 --> 00:01:33,280
Speaker 3: That's great.

44
00:01:33,319 --> 00:01:35,800
Speaker 1: They always tell you what they ran.

45
00:01:35,920 --> 00:01:38,399
Speaker 3: I mean, I have to say this. I'm sure that

46
00:01:38,440 --> 00:01:41,080
Speaker 3: they have to train so long, and there's this great

47
00:01:41,120 --> 00:01:44,640
Speaker 3: sense of accomplishment. In a way, it's just pride. I mean,

48
00:01:44,680 --> 00:01:47,200
Speaker 3: it's like it's an achievement. I got it. I get it.

49
00:01:47,200 --> 00:01:49,520
Speaker 3: But I kind of understand I guess what I'm saying.

50
00:01:49,640 --> 00:01:51,720
Speaker 3: But I think I don't think you're wrong, because I

51
00:01:51,760 --> 00:01:55,440
Speaker 3: think you're so astounded that you were made it through

52
00:01:55,440 --> 00:01:57,559
Speaker 3: that it is such an accomplishment. You go, oh my god, Conway,

53
00:01:57,600 --> 00:02:00,320
Speaker 3: I just finished whatever, and here's my time. But why

54
00:02:00,320 --> 00:02:02,480
Speaker 3: do you have to tell everybody? I just think you're

55
00:02:03,080 --> 00:02:05,840
Speaker 3: overflowing with pride. Maybe, is that right? I don't know.

56
00:02:05,920 --> 00:02:09,400
Speaker 3: I always try to understand the Well, might be the motivation.

57
00:02:09,760 --> 00:02:13,279
Speaker 1: But I mean I have a friend who runs marathons

58
00:02:13,639 --> 00:02:17,520
Speaker 1: and that's all he talks about. Go aha, I'm going

59
00:02:17,520 --> 00:02:20,000
Speaker 1: to Boston run marathon. I'm like, who gives an f?

60
00:02:20,600 --> 00:02:20,840
Speaker 3: You know?

61
00:02:20,960 --> 00:02:23,240
Speaker 1: And he's like, oh, whoa, whoa, whoa, whoa, whoa?

62
00:02:23,280 --> 00:02:25,399
Speaker 3: What's going on with Yeah? That's a little harsh. I think,

63
00:02:25,520 --> 00:02:26,640
Speaker 3: who cares? You know?

64
00:02:26,840 --> 00:02:29,120
Speaker 1: Well, I don't tell people what I'm doing. You know,

65
00:02:29,200 --> 00:02:33,160
Speaker 1: I'm going to uh Las Vegas to you know, to gamble.

66
00:02:33,360 --> 00:02:35,600
Speaker 1: I tell people, I say, I'm going to Vegas.

67
00:02:35,720 --> 00:02:37,600
Speaker 3: Yeah, but if you had to train for months and

68
00:02:37,600 --> 00:02:39,519
Speaker 3: months and months to go to Vegas to gamble, maybe

69
00:02:39,520 --> 00:02:40,880
Speaker 3: you go, I'm going there to play in a big

70
00:02:40,919 --> 00:02:42,239
Speaker 3: blackjack tournament or whatever.

71
00:02:43,280 --> 00:02:45,600
Speaker 1: I don't know why people always have to tell you

72
00:02:45,680 --> 00:02:47,840
Speaker 1: what they're doing. I have a friend of mine.

73
00:02:48,000 --> 00:02:49,799
Speaker 3: If you want excuse me for anyone, but if you

74
00:02:49,880 --> 00:02:52,160
Speaker 3: won that blackjack turner, if you won that big, a

75
00:02:52,200 --> 00:02:54,520
Speaker 3: big win in gave Vegas, you might be overflowing with

76
00:02:54,560 --> 00:02:55,440
Speaker 3: wanting to talk about it.

77
00:02:55,520 --> 00:03:00,440
Speaker 1: I never tell anybody my winning story. That's a bad

78
00:03:00,480 --> 00:03:04,520
Speaker 1: example of me. I never ever say hey, I just

79
00:03:04,600 --> 00:03:07,080
Speaker 1: won a big bet. Now, in fact, you are the

80
00:03:07,080 --> 00:03:10,760
Speaker 1: one who gave me the very best. I don't I

81
00:03:10,800 --> 00:03:12,480
Speaker 1: don't talk about it much either, But you always say

82
00:03:12,560 --> 00:03:15,720
Speaker 1: that people want to hear stories when it comes to gambling,

83
00:03:16,240 --> 00:03:19,040
Speaker 1: about how you lost one hundred percent. Yeah, yeah, And

84
00:03:19,080 --> 00:03:21,800
Speaker 1: I think that is so true. The great stories of

85
00:03:21,840 --> 00:03:24,640
Speaker 1: gambling always come with a major blow.

86
00:03:25,040 --> 00:03:27,120
Speaker 3: Yeah, you know, not a major win. Yeah. Don't tell

87
00:03:27,160 --> 00:03:28,880
Speaker 3: me about how you went to Las Vegas. You won

88
00:03:28,960 --> 00:03:32,440
Speaker 3: ten thousand dollars, You met this girl, and you now

89
00:03:32,480 --> 00:03:35,320
Speaker 3: are getting married, right, and it's your life's never been better.

90
00:03:35,400 --> 00:03:37,760
Speaker 3: If she's so terrific, you're going to adopt her kids.

91
00:03:37,800 --> 00:03:38,520
Speaker 3: Everything's great.

92
00:03:39,040 --> 00:03:42,120
Speaker 1: No, people want no, They want disasters, right because it

93
00:03:42,120 --> 00:03:44,640
Speaker 1: makes them feel better. You know, when you come up

94
00:03:44,640 --> 00:03:47,000
Speaker 1: on a car crash, you know you want to see

95
00:03:47,360 --> 00:03:51,560
Speaker 1: the disaster that that was, you know, the horror that

96
00:03:51,640 --> 00:03:53,080
Speaker 1: went through people's minds.

97
00:03:53,160 --> 00:03:55,400
Speaker 3: I don't know if that's quite a parallel. It is.

98
00:03:55,760 --> 00:03:57,600
Speaker 1: That's why we wait so long. You're like, oh, I

99
00:03:57,600 --> 00:03:59,240
Speaker 1: got I'm in this traffic jam for an hour. I

100
00:03:59,280 --> 00:04:01,160
Speaker 1: want to see what happened. But it is true, and

101
00:04:01,200 --> 00:04:04,960
Speaker 1: people tell gaming stories or whatever. You're waiting for the

102
00:04:04,960 --> 00:04:05,760
Speaker 1: other shoot to drop.

103
00:04:05,880 --> 00:04:07,800
Speaker 3: That's right, okay, okay, and you met this girl and

104
00:04:07,800 --> 00:04:10,760
Speaker 3: everything's great, and then what happened? But then it turned

105
00:04:10,760 --> 00:04:12,280
Speaker 3: out she was yeah right? Am I right? And then

106
00:04:12,280 --> 00:04:14,360
Speaker 3: she ripped off your watch and your money when you

107
00:04:14,440 --> 00:04:15,560
Speaker 3: left take a shower.

108
00:04:15,640 --> 00:04:17,320
Speaker 1: I always wanted to do this though. I always wanted

109
00:04:17,360 --> 00:04:21,719
Speaker 1: to go to a Gambler's Anonymous meeting and speak at

110
00:04:21,720 --> 00:04:24,560
Speaker 1: one and you know, the Ralph gets up, he talks,

111
00:04:24,560 --> 00:04:26,800
Speaker 1: Steve gets up, he talks. Then I get up and

112
00:04:26,839 --> 00:04:28,200
Speaker 1: I go, hey, my name is Tim. I'm here at

113
00:04:28,200 --> 00:04:30,760
Speaker 1: Gambler's Anonymous and I want to tell you my story.

114
00:04:31,040 --> 00:04:33,280
Speaker 1: And like, oh, they're all high, Tim, you know, And

115
00:04:33,320 --> 00:04:36,200
Speaker 1: I said, okay, here's my story. I've never gambled before

116
00:04:36,240 --> 00:04:39,120
Speaker 1: in my life. I took one thousand dollars out of

117
00:04:39,160 --> 00:04:42,040
Speaker 1: my checking account. I went to Las Vegas. I hit

118
00:04:42,080 --> 00:04:45,839
Speaker 1: a jackpod on a Wheel of Fortune machine and I

119
00:04:45,880 --> 00:04:48,880
Speaker 1: want one hundred and fifteen thousand dollars and they gave

120
00:04:48,920 --> 00:04:52,640
Speaker 1: it to me in cash. And I have a feeling

121
00:04:53,279 --> 00:04:55,520
Speaker 1: that I could probably get addicted to this, so I'm

122
00:04:55,520 --> 00:04:58,920
Speaker 1: never going to gamble again. People in the audience would

123
00:04:59,000 --> 00:05:03,400
Speaker 1: kill you if you went to a gamblers and honest

124
00:05:03,400 --> 00:05:05,920
Speaker 1: meeting and told a story and how you why I

125
00:05:06,000 --> 00:05:06,880
Speaker 1: did nothing but win?

126
00:05:07,080 --> 00:05:09,120
Speaker 3: Why did you come here today? Because I had to

127
00:05:09,160 --> 00:05:10,440
Speaker 3: tell some people who can appreciate it.

128
00:05:10,680 --> 00:05:13,120
Speaker 1: That's right, that what losers you are and what a

129
00:05:13,160 --> 00:05:15,760
Speaker 1: winner I was. But I wonder if anyone's ever done

130
00:05:15,800 --> 00:05:17,560
Speaker 1: that at a gambler's an honest meeting where they go

131
00:05:17,640 --> 00:05:20,960
Speaker 1: up and they just tell people how much money they won. Right, Oh,

132
00:05:20,960 --> 00:05:23,279
Speaker 1: I won, you know, two hundred thousand dollars in a

133
00:05:23,279 --> 00:05:27,320
Speaker 1: poker tournament. I hit a blackjack machine by a blackjack table.

134
00:05:27,600 --> 00:05:30,640
Speaker 1: I hit a you know, I'm a poker machine, a

135
00:05:30,720 --> 00:05:33,440
Speaker 1: video poker machine for another couple, you know, thirty grand

136
00:05:33,880 --> 00:05:36,200
Speaker 1: and I got two hundred and fifty gram And I

137
00:05:36,400 --> 00:05:39,039
Speaker 1: just think I'm probably gonna addicted, so I'm gonna stop here.

138
00:05:39,880 --> 00:05:41,560
Speaker 1: That's would they would hang you.

139
00:05:41,760 --> 00:05:43,719
Speaker 3: Yeah, I think there are some pretty ugly stories in

140
00:05:43,760 --> 00:05:45,760
Speaker 3: those GA meetings. Oh, it's got to be the worst.

141
00:05:45,800 --> 00:05:47,880
Speaker 1: Yeah, really rough. Yeah, I had to sell the house.

142
00:05:48,000 --> 00:05:51,640
Speaker 1: The kids don't talk to me anymore. Exactly who But anyway,

143
00:05:51,680 --> 00:05:53,480
Speaker 1: let's get back to this bakery walk. Let's find out

144
00:05:53,480 --> 00:05:54,479
Speaker 1: if you can do this as well.

145
00:05:54,520 --> 00:05:55,960
Speaker 7: We also just ran a half marathon.

146
00:05:56,120 --> 00:05:59,880
Speaker 3: So who gives an a half No, because you ran

147
00:06:00,040 --> 00:06:02,040
Speaker 3: half marathon, So then a way they can bulk up.

148
00:06:02,560 --> 00:06:05,120
Speaker 6: We also just ran a half marathon, so this is

149
00:06:05,120 --> 00:06:08,880
Speaker 6: a really fun follow up, a little treat for accomplishing

150
00:06:08,920 --> 00:06:09,560
Speaker 6: something pretty big.

151
00:06:09,680 --> 00:06:12,159
Speaker 5: On this day, they hit five different bakeries on the

152
00:06:12,160 --> 00:06:13,920
Speaker 5: west side sampling.

153
00:06:13,560 --> 00:06:15,039
Speaker 3: Various sounds like they robbed them.

154
00:06:16,000 --> 00:06:18,560
Speaker 5: On this day, they hit five different bakeries on the

155
00:06:18,560 --> 00:06:19,039
Speaker 5: west side.

156
00:06:19,480 --> 00:06:22,400
Speaker 3: Game. Yeah, they ripped all the five different bakeries and

157
00:06:22,520 --> 00:06:24,640
Speaker 3: this set of town they got bakery money.

158
00:06:24,320 --> 00:06:26,599
Speaker 2: Sampling various breads and pastries.

159
00:06:26,760 --> 00:06:31,719
Speaker 7: Six cheers, two idiots. Oh that's really good.

160
00:06:31,800 --> 00:06:35,080
Speaker 5: It also gives small businesses a little extra exposure to

161
00:06:35,160 --> 00:06:37,400
Speaker 5: those who might not otherwise have stopped by.

162
00:06:37,720 --> 00:06:38,560
Speaker 3: It's chaos.

163
00:06:39,080 --> 00:06:42,760
Speaker 5: Currently, owner Nicole Recker has run Fat and Flour Bakery

164
00:06:42,760 --> 00:06:44,680
Speaker 5: in Culver City since twenty twenty three.

165
00:06:44,760 --> 00:06:47,320
Speaker 1: It's a pretty good name for a bakery. Fat and Flower.

166
00:06:47,000 --> 00:06:48,760
Speaker 2: Ector has run Fat and Flower base.

167
00:06:48,800 --> 00:06:50,880
Speaker 1: Is that the name, Fat and Flower that's the name

168
00:06:50,880 --> 00:06:51,880
Speaker 1: of the company.

169
00:06:51,960 --> 00:06:55,200
Speaker 5: Fat and Flour Bakery in Culver City since twenty twenty three.

170
00:06:55,520 --> 00:06:57,000
Speaker 2: Does you have a very loyal fanbase?

171
00:06:57,040 --> 00:06:58,760
Speaker 8: I'm sure that a lot of them are thrown off

172
00:06:58,760 --> 00:06:59,120
Speaker 8: by the one.

173
00:06:59,120 --> 00:07:02,799
Speaker 4: Hundred people here right now, But you know, all businesses

174
00:07:02,839 --> 00:07:04,520
Speaker 4: could business, so we appreciate it.

175
00:07:04,640 --> 00:07:06,080
Speaker 6: Some of these places I don't know if I would

176
00:07:06,080 --> 00:07:08,600
Speaker 6: have found otherwise. So this is really cool to be

177
00:07:08,640 --> 00:07:11,880
Speaker 6: able to expose me to like new places that you know,

178
00:07:11,920 --> 00:07:13,520
Speaker 6: now I can come back to and enjoy all the

179
00:07:13,560 --> 00:07:15,240
Speaker 6: rest of their pastries that I didn't get to try out.

180
00:07:15,280 --> 00:07:18,120
Speaker 5: Irene Chang is the organizer of the Bakery Walk. She

181
00:07:18,200 --> 00:07:20,440
Speaker 5: says she got the idea from something they did in

182
00:07:20,440 --> 00:07:21,280
Speaker 5: New York.

183
00:07:21,080 --> 00:07:23,400
Speaker 1: Yeah, called a pub walk, and she just replaced the

184
00:07:23,440 --> 00:07:24,880
Speaker 1: pubs with bakeries.

185
00:07:24,600 --> 00:07:26,320
Speaker 2: Called the New York Bakery Run.

186
00:07:26,560 --> 00:07:28,800
Speaker 4: They kind of focus more on the running part, but

187
00:07:29,040 --> 00:07:30,720
Speaker 4: I'm a baker my solve, and so I wanted to

188
00:07:30,720 --> 00:07:33,720
Speaker 4: focus more on that aspect and then create a space

189
00:07:33,720 --> 00:07:37,320
Speaker 4: where I could build community and something. Let's do that

190
00:07:37,360 --> 00:07:40,120
Speaker 4: aspect and then create a space where I could build community.

191
00:07:40,560 --> 00:07:42,600
Speaker 1: I have nothing in common with these people. I gotta

192
00:07:42,600 --> 00:07:45,920
Speaker 1: stop doing this story. Yeah, I'm trying to. I'm hating

193
00:07:45,960 --> 00:07:47,680
Speaker 1: everybody in that story so far.

194
00:07:47,760 --> 00:07:50,160
Speaker 4: Everybody create a space where I could build community.

195
00:07:50,400 --> 00:07:53,800
Speaker 1: I don't have people that use those terms. I'm creating

196
00:07:53,800 --> 00:07:55,760
Speaker 1: one create a space where creating a space where I

197
00:07:55,760 --> 00:07:58,640
Speaker 1: can build community and something that's.

198
00:07:58,480 --> 00:07:59,720
Speaker 4: Just more slow and intentional.

199
00:08:00,080 --> 00:08:02,360
Speaker 7: It's a lot more relaxed.

200
00:08:02,400 --> 00:08:04,480
Speaker 4: They really emphasize that it was a walk.

201
00:08:04,400 --> 00:08:05,880
Speaker 3: And you know what this is.

202
00:08:06,000 --> 00:08:10,240
Speaker 1: I get this. These are not bakery goers. These are

203
00:08:10,280 --> 00:08:13,880
Speaker 1: people on the West Side who occasionally you know by,

204
00:08:13,960 --> 00:08:18,880
Speaker 1: you know, donuts at at Gelson's. But you need the

205
00:08:18,920 --> 00:08:22,760
Speaker 1: real blue collar bakery chicks to walk through the bakery walk.

206
00:08:23,080 --> 00:08:27,120
Speaker 1: You know woman who's you know, working in a factory

207
00:08:27,120 --> 00:08:30,640
Speaker 1: somewhere and just plows through a dozen donuts at every stop.

208
00:08:30,960 --> 00:08:33,760
Speaker 1: And she's barely making it. You know, she's in a wheelchair,

209
00:08:33,840 --> 00:08:39,080
Speaker 1: she's diabetic, and she's just hammering these eclaires at every stop.

210
00:08:39,480 --> 00:08:42,040
Speaker 1: That's what I'd like to see. I'd join that one.

211
00:08:42,160 --> 00:08:43,160
Speaker 3: That's a different.

212
00:08:43,360 --> 00:08:47,840
Speaker 1: Everybody's in a wheelchair, everybody has diabetes, and everybody's passing

213
00:08:47,840 --> 00:08:50,439
Speaker 1: out because of the highs and lows.

214
00:08:50,160 --> 00:08:52,079
Speaker 3: Of the sugar. Just a trail of a claires.

215
00:08:52,320 --> 00:08:55,800
Speaker 1: That's right. I love it, Yeah, but not these West

216
00:08:55,880 --> 00:08:59,600
Speaker 1: Side I'm building community with my you know, I ran

217
00:08:59,640 --> 00:09:00,520
Speaker 1: a half marathon.

218
00:09:00,800 --> 00:09:02,679
Speaker 3: These are not real people. These people are trying to

219
00:09:02,720 --> 00:09:03,760
Speaker 3: spin it into something poser.

220
00:09:03,880 --> 00:09:06,320
Speaker 1: Yeah, they're not real people. These are fake phony people.

221
00:09:06,360 --> 00:09:10,120
Speaker 1: All right, get the the fatos who are diabetic.

222
00:09:09,760 --> 00:09:12,360
Speaker 3: And then I'll join that walk, all right. Not until then.

223
00:09:13,280 --> 00:09:16,960
Speaker 9: You're listening to Tim Conway Junior on demand from KFI

224
00:09:17,240 --> 00:09:19,400
Speaker 9: AM six forty.

225
00:09:19,559 --> 00:09:22,600
Speaker 3: This is the Conway Show. Conway is just shining autographs

226
00:09:22,600 --> 00:09:25,480
Speaker 3: in the hallway. Here he comes Mark Thompson sitting in.

227
00:09:25,559 --> 00:09:27,679
Speaker 3: I'm coming in on Mondays now instead of the normal

228
00:09:27,720 --> 00:09:31,640
Speaker 3: Tuesday night. Yeah that's cool, right, yeah, yeah, so joy Mondays. Yeah,

229
00:09:31,679 --> 00:09:34,160
Speaker 3: I like it. It's a literative Mark Monday.

230
00:09:33,920 --> 00:09:37,840
Speaker 1: Whenever, and we're six to ten, so that's a better

231
00:09:38,080 --> 00:09:42,080
Speaker 1: time slot for us. Social media numbers are out. They

232
00:09:42,120 --> 00:09:46,000
Speaker 1: come out every Monday, oh Monday, every month. Yeah, so

233
00:09:47,200 --> 00:09:49,559
Speaker 1: I got to read them because Bellio is great at

234
00:09:49,600 --> 00:09:53,520
Speaker 1: social media. Okay, and you could hire her too, you know.

235
00:09:54,320 --> 00:09:56,960
Speaker 3: I offered her to help me out. I mean I

236
00:09:57,000 --> 00:10:01,120
Speaker 3: offer to pay for her services. Yes, so, guy said,

237
00:10:01,120 --> 00:10:03,199
Speaker 3: put together a proposal, because what she's doing with you

238
00:10:03,280 --> 00:10:04,480
Speaker 3: is amazing, unbelieva.

239
00:10:04,520 --> 00:10:08,640
Speaker 1: On Facebook, we have three hundred and thirty five thousand Instagram,

240
00:10:08,760 --> 00:10:14,840
Speaker 1: ninety four thousand, almost ninety five x forty four thousand threads,

241
00:10:15,600 --> 00:10:20,959
Speaker 1: almost nineteen thousand TikTok almost eight gram YouTube.

242
00:10:21,080 --> 00:10:23,319
Speaker 3: Eh, that's so great on YouTube.

243
00:10:23,840 --> 00:10:29,480
Speaker 1: But our podcast from January first through the end of

244
00:10:30,840 --> 00:10:35,640
Speaker 1: February seven hundred and thirty three thousand downloads.

245
00:10:35,760 --> 00:10:36,480
Speaker 3: That's unreal.

246
00:10:37,440 --> 00:10:39,120
Speaker 1: We're up seven percent from last year.

247
00:10:39,200 --> 00:10:43,040
Speaker 3: So did you and you get some huge check because

248
00:10:43,040 --> 00:10:44,200
Speaker 3: she's doing so well with that.

249
00:10:44,520 --> 00:10:46,400
Speaker 1: I get a little taste, a little tiny bonus.

250
00:10:47,000 --> 00:10:49,480
Speaker 3: That's nice. Yeah, I like that. It's very nice.

251
00:10:49,559 --> 00:10:53,200
Speaker 1: I blew that at a racetrack. It's already spent. Yea,

252
00:10:53,600 --> 00:10:56,920
Speaker 1: it's gone. It was gone before I got it. But look,

253
00:10:57,080 --> 00:11:01,000
Speaker 1: that's you know that my wife knew I had that

254
00:11:01,200 --> 00:11:02,400
Speaker 1: problem before we've married.

255
00:11:02,480 --> 00:11:04,839
Speaker 3: I mean, you do it for the love anyway. That's right,

256
00:11:05,040 --> 00:11:06,400
Speaker 3: That's exactly right, all right.

257
00:11:06,440 --> 00:11:08,320
Speaker 1: Customer feedback. I don't know if you notice this, but

258
00:11:08,440 --> 00:11:11,559
Speaker 1: every time you go anywhere, they're always asking you for feedback.

259
00:11:12,000 --> 00:11:18,200
Speaker 1: Everywhere websites, restaurants, concerts, every time you have a you know,

260
00:11:18,240 --> 00:11:21,000
Speaker 1: any kind of online you purchase anything, How did we

261
00:11:21,040 --> 00:11:22,880
Speaker 1: do you go to you know, go to Walmart. At

262
00:11:22,880 --> 00:11:24,720
Speaker 1: the end, after you check out, they're like, get you know,

263
00:11:25,080 --> 00:11:28,360
Speaker 1: one star to five stars. I always give Walmart five stars.

264
00:11:28,559 --> 00:11:32,240
Speaker 1: I like Walmart. But customer feedback surveys are everywhere, now,

265
00:11:32,240 --> 00:11:32,880
Speaker 1: what's going on?

266
00:11:33,960 --> 00:11:37,280
Speaker 10: There's no shortage of feedback. I'm not doing the survey

267
00:11:37,480 --> 00:11:38,720
Speaker 10: about feedback.

268
00:11:39,040 --> 00:11:43,320
Speaker 3: My doctor's appointment has sent me three requests for a

269
00:11:43,360 --> 00:11:44,520
Speaker 3: survey on how they're doing.

270
00:11:44,600 --> 00:11:46,440
Speaker 11: And I just want to be like, you were doing great?

271
00:11:46,559 --> 00:11:46,880
Speaker 3: Okay?

272
00:11:47,200 --> 00:11:49,560
Speaker 1: I get that a lot too from my doctor. You know,

273
00:11:49,679 --> 00:11:51,760
Speaker 1: how did we do? How'd you enjoy your appointment? Do

274
00:11:51,840 --> 00:11:52,920
Speaker 1: we nail what disease?

275
00:11:53,000 --> 00:11:53,360
Speaker 12: You have?

276
00:11:53,520 --> 00:11:56,160
Speaker 3: All that stuff you started annoying me.

277
00:11:56,400 --> 00:11:58,600
Speaker 1: Right, and they annoy you politically too? Do you get

278
00:11:58,640 --> 00:12:01,439
Speaker 1: a lot of democratic stuff? And they of emails or texts?

279
00:12:02,280 --> 00:12:03,800
Speaker 1: I get a little bit a ton of that crap.

280
00:12:04,040 --> 00:12:07,360
Speaker 1: I get all these you know, I get surveys. Oh yeah,

281
00:12:07,559 --> 00:12:10,240
Speaker 1: like hey, you know, but why haven't you responded to

282
00:12:10,280 --> 00:12:11,160
Speaker 1: our surveys?

283
00:12:11,760 --> 00:12:11,960
Speaker 3: You know?

284
00:12:12,080 --> 00:12:13,600
Speaker 1: It's freedom, isn't free?

285
00:12:13,720 --> 00:12:13,920
Speaker 3: You know?

286
00:12:13,960 --> 00:12:18,360
Speaker 10: Like the surveys are ceaseless, text and emails asking how

287
00:12:18,440 --> 00:12:19,200
Speaker 10: was your purchase?

288
00:12:19,360 --> 00:12:20,040
Speaker 13: Your return?

289
00:12:20,160 --> 00:12:20,360
Speaker 7: Yeah?

290
00:12:20,360 --> 00:12:21,360
Speaker 3: How was your purchase?

291
00:12:21,720 --> 00:12:23,679
Speaker 1: I went in and bought something, I left with it.

292
00:12:23,720 --> 00:12:24,400
Speaker 3: Who cares?

293
00:12:24,760 --> 00:12:28,480
Speaker 10: Was your delivery good? Your train ride smooth? Your salad tasty?

294
00:12:29,040 --> 00:12:31,240
Speaker 10: SNL poked fun at the trend.

295
00:12:31,120 --> 00:12:34,400
Speaker 8: To participate in a brief two hundred question survey after

296
00:12:34,440 --> 00:12:37,280
Speaker 8: this call, say I do not wish to participate.

297
00:12:37,480 --> 00:12:39,920
Speaker 3: I do not wish to participate. Oh wait, wait.

298
00:12:39,760 --> 00:12:42,600
Speaker 10: No, no, even the doctor drama, the pit had its

299
00:12:42,640 --> 00:12:45,239
Speaker 10: finger on the pulse of all these surveys.

300
00:12:45,600 --> 00:12:48,840
Speaker 14: Our goal is thirty six percent very satisfied with their care.

301
00:12:48,920 --> 00:12:51,760
Speaker 3: You're a department, is it eight? Do you know how

302
00:12:51,880 --> 00:12:53,720
Speaker 3: likely patients are to recommend this hospital?

303
00:12:53,960 --> 00:12:56,600
Speaker 1: This is an immersing department, not a taco bill. Okay,

304
00:12:56,720 --> 00:12:58,720
Speaker 1: this is why I think they do it. It keeps

305
00:12:58,760 --> 00:13:01,520
Speaker 1: people on their toes. If you know that every time

306
00:13:01,559 --> 00:13:04,080
Speaker 1: I purchase something from you, a survey goes out.

307
00:13:04,160 --> 00:13:04,640
Speaker 3: You got it.

308
00:13:04,679 --> 00:13:06,480
Speaker 1: As an employee, you got to be on your toes

309
00:13:06,600 --> 00:13:07,760
Speaker 1: knowing that that's coming out.

310
00:13:07,960 --> 00:13:08,320
Speaker 3: Yeah.

311
00:13:08,440 --> 00:13:09,800
Speaker 1: I think that's the only reason they do it.

312
00:13:09,840 --> 00:13:12,720
Speaker 10: About a year ago, Good Company Donuts put a QR

313
00:13:12,840 --> 00:13:15,640
Speaker 10: code by the register at all four locations in the

314
00:13:15,720 --> 00:13:20,160
Speaker 10: Virginia DC area, asking customers to rate their experience.

315
00:13:20,600 --> 00:13:24,760
Speaker 15: It's really important people find us based on our review rating.

316
00:13:25,120 --> 00:13:28,439
Speaker 10: You really need to seek out reviews because the more

317
00:13:28,559 --> 00:13:32,959
Speaker 10: you get, the more it can maybe attract business exactly exactly.

318
00:13:33,320 --> 00:13:35,800
Speaker 1: You know what, when I read a company has a

319
00:13:35,880 --> 00:13:39,080
Speaker 1: five point zero rating, I'm a little suspicious of that,

320
00:13:39,840 --> 00:13:42,480
Speaker 1: you know, I think those are purchased when when I

321
00:13:42,520 --> 00:13:45,480
Speaker 1: read somebody has a four point eight or four point nine,

322
00:13:45,880 --> 00:13:48,400
Speaker 1: that tells me more about that company than a five

323
00:13:48,440 --> 00:13:50,920
Speaker 1: point zero. I'd rather a company I deal with have

324
00:13:51,040 --> 00:13:52,640
Speaker 1: a four point eight than a five point zero.

325
00:13:52,720 --> 00:13:54,840
Speaker 3: No, I assume because it's more legit.

326
00:13:55,040 --> 00:13:58,040
Speaker 1: Yeah, I think it's it's more legit, it's odd, it's

327
00:13:58,040 --> 00:14:00,679
Speaker 1: a weird, you know, sort of gymnastic move you got

328
00:14:00,720 --> 00:14:03,160
Speaker 1: to do with it. Yeah, but I think it's true.

329
00:14:03,400 --> 00:14:05,760
Speaker 10: Even though reviews often measure the extremes.

330
00:14:05,800 --> 00:14:07,880
Speaker 1: You know, when you go to you know you're going

331
00:14:07,920 --> 00:14:09,960
Speaker 1: to buy something and you want the review of a product,

332
00:14:10,040 --> 00:14:11,280
Speaker 1: do you go and read reviews?

333
00:14:11,440 --> 00:14:11,560
Speaker 2: Oh?

334
00:14:11,640 --> 00:14:14,840
Speaker 3: Absolutely I do, But I always go to the crappiest

335
00:14:14,880 --> 00:14:15,720
Speaker 3: reviews first.

336
00:14:16,679 --> 00:14:19,000
Speaker 1: I always go to the number ones and read what

337
00:14:19,200 --> 00:14:22,360
Speaker 1: horror stories those are? Number one? You know, one star?

338
00:14:22,640 --> 00:14:24,160
Speaker 1: And if I could give you a last I would

339
00:14:24,240 --> 00:14:25,000
Speaker 1: you know that kind of growth.

340
00:14:25,040 --> 00:14:30,760
Speaker 3: There are I want to say, maybe three at least

341
00:14:30,840 --> 00:14:37,480
Speaker 3: one motels in San Francisco that went viral for the

342
00:14:38,120 --> 00:14:46,760
Speaker 3: totally vicious and completely toxic reviews. They got just one

343
00:14:46,960 --> 00:14:49,400
Speaker 3: right after the other, like it was clear this place

344
00:14:49,520 --> 00:14:54,560
Speaker 3: is a total pit, and they were just one after

345
00:14:54,600 --> 00:14:57,160
Speaker 3: the other talking about and so for you who like

346
00:14:57,240 --> 00:15:00,360
Speaker 3: to read negative reviews, this was wall to wall. I

347
00:15:00,400 --> 00:15:03,040
Speaker 3: think they got like half a star and all that. Right, Yeah,

348
00:15:03,080 --> 00:15:06,600
Speaker 3: it was really You can find them in travel Locity

349
00:15:06,720 --> 00:15:09,080
Speaker 3: or whatever. You know, that's great. Yeah, I love the

350
00:15:09,240 --> 00:15:12,760
Speaker 3: negative reviews. Yeah, people get creative. Also when people get angry,

351
00:15:12,800 --> 00:15:13,640
Speaker 3: they really get creative.

352
00:15:13,680 --> 00:15:16,400
Speaker 1: Yeah, because they're not going to write a great review.

353
00:15:16,440 --> 00:15:17,840
Speaker 1: You know, it's like, oh, me and my wife had

354
00:15:17,840 --> 00:15:20,760
Speaker 1: a great steak, the pasta was great, the atmosphere is great,

355
00:15:20,840 --> 00:15:21,600
Speaker 1: the drinks are great.

356
00:15:21,600 --> 00:15:25,600
Speaker 3: Who cares? Yeah, or they'll they'll say they'll write a review,

357
00:15:25,600 --> 00:15:27,200
Speaker 3: but by the time they get home, it's kind of like,

358
00:15:27,480 --> 00:15:29,680
Speaker 3: but but anger that stage with you. It's like, I've

359
00:15:29,720 --> 00:15:32,080
Speaker 3: never been treated the way I was treated tonight and up.

360
00:15:32,160 --> 00:15:34,440
Speaker 3: You know, we've been dining out since I was just

361
00:15:34,680 --> 00:15:37,160
Speaker 3: you know, we had our families in the restaurant business,

362
00:15:37,160 --> 00:15:37,880
Speaker 3: and I've never been.

363
00:15:38,040 --> 00:15:40,320
Speaker 1: Yeah, those are the great reviews to read, you know,

364
00:15:40,360 --> 00:15:42,120
Speaker 1: they're the only interesting one exactly.

365
00:15:41,880 --> 00:15:46,800
Speaker 10: Awesome and the awful, experts say. These days, consumers expect them,

366
00:15:46,880 --> 00:15:50,840
Speaker 10: thanks in part to Amazon, which rates everything. One survey

367
00:15:50,960 --> 00:15:56,040
Speaker 10: found ninety seven percent of consumers read reviews when considering purchases.

368
00:15:56,240 --> 00:15:58,880
Speaker 1: That's important. How about that. I didn't realize that number

369
00:15:59,000 --> 00:16:01,040
Speaker 1: was that high. Do you hear that number? I know

370
00:16:01,080 --> 00:16:04,200
Speaker 1: sometimes you have asked the show listeners, listen. This is

371
00:16:04,200 --> 00:16:05,200
Speaker 1: a very important number.

372
00:16:05,360 --> 00:16:09,320
Speaker 10: One survey found ninety seven percent of consumers read reviews

373
00:16:09,640 --> 00:16:11,120
Speaker 10: when considering purchases.

374
00:16:11,240 --> 00:16:13,640
Speaker 1: About that ninety seven percent, that's a lot.

375
00:16:13,800 --> 00:16:16,920
Speaker 10: The customers are annoyed with all the requests for feedback,

376
00:16:17,000 --> 00:16:20,320
Speaker 10: and yet they rely on them, don't they exactly?

377
00:16:20,360 --> 00:16:23,680
Speaker 8: So it's a catch twenty two. To have that information

378
00:16:23,760 --> 00:16:25,840
Speaker 8: out there, we have to be willing to participate, and

379
00:16:26,160 --> 00:16:29,200
Speaker 8: sometimes it gets exhausting with all the requests to provide

380
00:16:29,200 --> 00:16:30,000
Speaker 8: so much feedback.

381
00:16:30,240 --> 00:16:33,120
Speaker 10: Andrea Flynn, a professor at the University of San Diego,

382
00:16:33,280 --> 00:16:38,160
Speaker 10: studies customer satisfaction. Her research finds the feedback frenzy could

383
00:16:38,440 --> 00:16:39,960
Speaker 10: be reaching a tipping point.

384
00:16:40,080 --> 00:16:43,080
Speaker 1: Yes, it's reaching a tipping point. No more reviews.

385
00:16:43,240 --> 00:16:47,280
Speaker 8: Customers who received frequent requests to give feedback or provide

386
00:16:47,280 --> 00:16:50,920
Speaker 8: reviews started to slow down how often they make purchases

387
00:16:50,960 --> 00:16:51,760
Speaker 8: from a company.

388
00:16:51,960 --> 00:16:55,000
Speaker 10: It's why good Company Donuts leaves it up to customers

389
00:16:55,040 --> 00:16:58,520
Speaker 10: to scan that QR code and above all prefers good

390
00:16:58,520 --> 00:17:01,440
Speaker 10: old fashioned face a face speedback.

391
00:17:01,760 --> 00:17:01,920
Speaker 3: Yeah.

392
00:17:01,960 --> 00:17:04,080
Speaker 1: I was at a fast food place over the weekend.

393
00:17:04,080 --> 00:17:05,760
Speaker 1: I don't want to mention the name because that always

394
00:17:05,760 --> 00:17:10,399
Speaker 1: comes back to haunt me. But after I ordered, the

395
00:17:10,480 --> 00:17:12,040
Speaker 1: lady at the counter said, hey, do you want to

396
00:17:12,040 --> 00:17:15,480
Speaker 1: take a real quick review or you do a quick

397
00:17:16,080 --> 00:17:19,320
Speaker 1: review of the place. I'm like, I had to say

398
00:17:19,400 --> 00:17:23,120
Speaker 1: yes because they still haven't given my food yet. I said, yeah,

399
00:17:23,720 --> 00:17:26,240
Speaker 1: I'll take it. And then I took and I gave

400
00:17:26,320 --> 00:17:29,040
Speaker 1: him great reviews and then they screwed up the meal

401
00:17:29,600 --> 00:17:32,399
Speaker 1: and it was then it was wrong the second time,

402
00:17:32,600 --> 00:17:36,000
Speaker 1: and it was like there was cold and like, we

403
00:17:36,160 --> 00:17:39,760
Speaker 1: like to get that review back to a once over

404
00:17:39,880 --> 00:17:40,560
Speaker 1: on that sucker.

405
00:17:40,600 --> 00:17:41,840
Speaker 3: Again, this is not good.

406
00:17:42,160 --> 00:17:44,520
Speaker 16: So the personal conversations are the way to go. You're

407
00:17:44,560 --> 00:17:47,439
Speaker 16: going to get a faster resolution any issue you have

408
00:17:47,720 --> 00:17:49,920
Speaker 16: that we could just skip the whole online thing completely.

409
00:17:50,480 --> 00:17:53,119
Speaker 1: I don't know, you know, again, the negative reviews are

410
00:17:53,160 --> 00:17:56,400
Speaker 1: the only interesting ones, and I don't know how fair

411
00:17:56,480 --> 00:17:58,520
Speaker 1: those are, you know, guys in a bad mood.

412
00:17:58,520 --> 00:17:59,760
Speaker 3: Anyway, he gets decent.

413
00:18:00,000 --> 00:18:03,199
Speaker 1: Everybody writes this horrible review of a company, and is

414
00:18:03,200 --> 00:18:05,840
Speaker 1: it the rival companies that are doing it. You know,

415
00:18:05,920 --> 00:18:08,240
Speaker 1: you own a donut shop, there's a cross donut shop

416
00:18:08,240 --> 00:18:10,000
Speaker 1: across the street. Is the guy across the street giving

417
00:18:10,000 --> 00:18:10,639
Speaker 1: you bad review?

418
00:18:10,760 --> 00:18:15,720
Speaker 3: There was that whole thing in what's the big review Company? Oh, Yelp,

419
00:18:15,880 --> 00:18:20,440
Speaker 3: yeap exactly. There was a huge yelp controversy. This is now,

420
00:18:20,600 --> 00:18:23,960
Speaker 3: I'd be like eight years ago when it's just what

421
00:18:24,000 --> 00:18:27,359
Speaker 3: you're talking about. There was a flurry of bad reviews

422
00:18:27,359 --> 00:18:29,479
Speaker 3: and it was literally designed to drive the other business

423
00:18:29,520 --> 00:18:31,360
Speaker 3: out of business. Yeh, that's not fair. Yeah, I mean

424
00:18:31,359 --> 00:18:32,879
Speaker 3: that's just you know, and you've got to allow for

425
00:18:32,960 --> 00:18:35,480
Speaker 3: there has to be some way to appeal, whether or

426
00:18:35,520 --> 00:18:37,800
Speaker 3: not it's an authentic review or whether or not it's

427
00:18:37,840 --> 00:18:38,320
Speaker 3: just a hit you.

428
00:18:38,320 --> 00:18:41,600
Speaker 1: Ob I like the responses from the company to negative

429
00:18:41,640 --> 00:18:42,280
Speaker 1: reviews like.

430
00:18:42,359 --> 00:18:43,800
Speaker 3: Sarr you had a bad meal.

431
00:18:44,640 --> 00:18:48,119
Speaker 1: Normally we don't have bad meals, you know, it's always flat.

432
00:18:49,920 --> 00:18:52,480
Speaker 1: But ninety seven percent of the people rely on review

433
00:18:52,520 --> 00:18:53,959
Speaker 1: So I guess you got to make sure your your

434
00:18:54,000 --> 00:18:55,680
Speaker 1: website's you know, got the good ones.

435
00:18:55,760 --> 00:18:56,400
Speaker 3: Right up on top.

436
00:18:57,240 --> 00:19:00,960
Speaker 9: You're listening to Tim conwaytun you're on demand from KFI

437
00:19:01,240 --> 00:19:02,280
Speaker 9: AM six forty.

438
00:19:03,840 --> 00:19:08,080
Speaker 1: All right, let's talk about the HBO Paramount. What's going

439
00:19:08,119 --> 00:19:12,480
Speaker 1: on Warner Brothers the merger. Yes, let's find out what's

440
00:19:12,480 --> 00:19:13,040
Speaker 1: happening here.

441
00:19:13,760 --> 00:19:17,040
Speaker 12: Fist, I'm the glamour of the SAG Awards. Lots going

442
00:19:17,040 --> 00:19:19,360
Speaker 12: on behind the scenes in Hollywood, as you know.

443
00:19:19,400 --> 00:19:24,399
Speaker 1: Paramount Andy Reesemeyer over there at LA very talented, very

444
00:19:24,560 --> 00:19:26,679
Speaker 1: very nice young man Hollywood.

445
00:19:26,720 --> 00:19:29,080
Speaker 12: As you know, Paramount Guidance is going to be the

446
00:19:29,160 --> 00:19:32,720
Speaker 12: new corporate daddy of Warner Brothers. That, of course, after

447
00:19:32,760 --> 00:19:35,440
Speaker 12: Netflix bowed out last week, already some indication on how

448
00:19:35,440 --> 00:19:39,480
Speaker 12: that might look for us. The HBO Max streaming service

449
00:19:39,600 --> 00:19:43,080
Speaker 12: will be merging with Paramount Plus. Now one article we

450
00:19:43,119 --> 00:19:45,119
Speaker 12: saw there was a side by side picture of Sydney

451
00:19:45,119 --> 00:19:46,800
Speaker 12: Sweeney in a bikini and paw Patrol.

452
00:19:46,880 --> 00:19:47,960
Speaker 13: That's how they announced this.

453
00:19:48,280 --> 00:19:51,600
Speaker 1: Wow, two different audiences.

454
00:19:51,920 --> 00:19:54,200
Speaker 12: Hey how that is at least the plan, as outlined

455
00:19:54,200 --> 00:19:56,840
Speaker 12: by David Ellison on an investor call today. He says

456
00:19:56,920 --> 00:19:59,840
Speaker 12: this will make it easier for them to compete with Netflix.

457
00:20:00,400 --> 00:20:03,080
Speaker 12: One wrinkle in this plan streaming is one thing, what

458
00:20:03,200 --> 00:20:06,200
Speaker 12: about the many millions of HBO subscribers who actually get

459
00:20:06,200 --> 00:20:09,720
Speaker 12: it through cable. Merging will require some negotiations with the spectrums.

460
00:20:09,760 --> 00:20:11,280
Speaker 12: The other cable companies of the world.

461
00:20:11,359 --> 00:20:11,960
Speaker 3: What a mess?

462
00:20:11,960 --> 00:20:14,240
Speaker 1: How about having it is sift through that? Yeah, you

463
00:20:14,280 --> 00:20:16,680
Speaker 1: know all those separate deals you got to make.

464
00:20:16,720 --> 00:20:18,760
Speaker 3: Oh and while the app.

465
00:20:18,560 --> 00:20:22,960
Speaker 12: May change, the HBO brand is apparently staying itself somehow.

466
00:20:22,960 --> 00:20:25,560
Speaker 12: Ellison reiterated that he wants to keep HBO HBO with

467
00:20:25,600 --> 00:20:29,080
Speaker 12: current leader Casey Bloyse at the helm. Also sticking around

468
00:20:29,119 --> 00:20:32,199
Speaker 12: always like Ksey Bloise, current leader Casey Bloyse.

469
00:20:32,440 --> 00:20:36,880
Speaker 1: Ksey Bloyse, Right, I love Ksey Bloyse. Making a deal

470
00:20:37,000 --> 00:20:38,760
Speaker 1: bell you know, see, we get a deal in HBO

471
00:20:38,800 --> 00:20:43,600
Speaker 1: if we mentioned Ksey Bloyse all the time. All right, Casey,

472
00:20:43,680 --> 00:20:45,560
Speaker 1: what'd you say she's in the shower. We don't have

473
00:20:45,560 --> 00:20:47,199
Speaker 1: a shower here. What's going on with you?

474
00:20:47,520 --> 00:20:49,160
Speaker 13: Casey Bloise at the helm?

475
00:20:49,600 --> 00:20:54,879
Speaker 12: Also sticking around the WB's cable networks like CNN, Comedy Central, HGTV,

476
00:20:55,000 --> 00:20:57,280
Speaker 12: and more. Ellison said he's not going to be spinning

477
00:20:57,320 --> 00:21:01,000
Speaker 12: off or selling any of those, at least right now.

478
00:21:01,000 --> 00:21:02,959
Speaker 12: There's a lot of plans for them on digital. So

479
00:21:03,040 --> 00:21:06,160
Speaker 12: could that mean that CNN gets the Barry Weiss treatment?

480
00:21:06,280 --> 00:21:07,040
Speaker 13: What do you watch that?

481
00:21:07,400 --> 00:21:11,760
Speaker 12: So Barry Weiss instituted to run CBS by David Ellison,

482
00:21:12,480 --> 00:21:15,400
Speaker 12: many people said, pushed the network more towards the right.

483
00:21:15,800 --> 00:21:18,640
Speaker 1: Yeah, unless you watch the network and then you realize

484
00:21:18,640 --> 00:21:19,520
Speaker 1: that that's not true.

485
00:21:19,760 --> 00:21:22,880
Speaker 13: More favorable coverage for the Trump administration CNN.

486
00:21:22,680 --> 00:21:25,240
Speaker 1: That's not happening if you watch sixty minutes, that's not

487
00:21:25,280 --> 00:21:26,119
Speaker 1: even close to happening.

488
00:21:26,160 --> 00:21:29,000
Speaker 12: Yet, wondering if they will have the same sort of

489
00:21:29,040 --> 00:21:31,720
Speaker 12: fate with their same new boss. One hundred eleven billion

490
00:21:31,720 --> 00:21:34,680
Speaker 12: dollar deal still has to get regulatory approval. By the way,

491
00:21:34,880 --> 00:21:37,800
Speaker 12: Netflix's Ted Sarandas told Bloomberg it all just got too

492
00:21:37,840 --> 00:21:40,520
Speaker 12: expensive and that is why he was out.

493
00:21:40,720 --> 00:21:43,040
Speaker 1: Wow, that's a lot of money. One hundred and eleven

494
00:21:43,160 --> 00:21:45,480
Speaker 1: billion dollars. Yeah, they're going to fire a bunch of people.

495
00:21:45,520 --> 00:21:49,240
Speaker 1: They're not streamline. It's really going to be ugly. It's sad.

496
00:21:49,320 --> 00:21:53,640
Speaker 3: I mean, it's just even Netflix when they were talking

497
00:21:53,680 --> 00:21:56,080
Speaker 3: about acquiring the company, so they were going to have

498
00:21:56,119 --> 00:22:00,280
Speaker 3: to shed sixty billion dollars. Wow, right, yeah, yeah, of

499
00:22:00,680 --> 00:22:02,520
Speaker 3: commitments so unbelievable.

500
00:22:02,640 --> 00:22:05,320
Speaker 1: Yeah, all right, how much do you need to be

501
00:22:05,400 --> 00:22:08,680
Speaker 1: earning just to stay in the state of California? Yeah,

502
00:22:08,720 --> 00:22:11,960
Speaker 1: it's expensive here, Yeah, it's very expensive. Everything is expensive,

503
00:22:12,040 --> 00:22:15,280
Speaker 1: especially gas. You know, gas is still like nearing. You know,

504
00:22:15,359 --> 00:22:17,920
Speaker 1: it's going to go over five dollars a gallon again again,

505
00:22:18,119 --> 00:22:20,160
Speaker 1: and the rest of the nation's paying like two sixty.

506
00:22:20,560 --> 00:22:24,679
Speaker 14: Right, how expensive it is to just function here in California?

507
00:22:24,880 --> 00:22:27,720
Speaker 15: And it turns out it's expensive. But let's back into that.

508
00:22:28,119 --> 00:22:32,359
Speaker 15: First of all, costs of living and incomes differ from

509
00:22:32,440 --> 00:22:35,679
Speaker 15: state to state, So obviously living in one place doesn't

510
00:22:35,720 --> 00:22:38,359
Speaker 15: have the same cost as living in another place. So

511
00:22:38,520 --> 00:22:40,920
Speaker 15: there's a financial app called money Lion that crunched the

512
00:22:41,000 --> 00:22:43,840
Speaker 15: numbers and came up with a study that determine what

513
00:22:44,000 --> 00:22:46,440
Speaker 15: the different costs are in different states and how much

514
00:22:46,440 --> 00:22:49,120
Speaker 15: you need to be able to make to cover your nut.

515
00:22:49,680 --> 00:22:52,920
Speaker 1: Is this is this Charles Nelson, Riley, David Lazar is,

516
00:22:52,960 --> 00:22:53,760
Speaker 1: oh sorry.

517
00:22:54,040 --> 00:22:57,360
Speaker 15: One takeaway from that study is that families in half

518
00:22:57,400 --> 00:23:00,720
Speaker 15: the country twenty five states, need to earn about thirty

519
00:23:00,760 --> 00:23:03,520
Speaker 15: bucks an hour or roughly fifty three thousand dollars a

520
00:23:03,600 --> 00:23:06,640
Speaker 15: year after taxes to make ends meet.

521
00:23:06,600 --> 00:23:09,280
Speaker 1: Fifty three thousand after taxes to make it.

522
00:23:09,600 --> 00:23:12,280
Speaker 15: Another takeaway is that some states, including the one you

523
00:23:12,320 --> 00:23:15,600
Speaker 15: are soaking in right now, can be very, very expensive

524
00:23:15,720 --> 00:23:17,879
Speaker 15: to get by In California.

525
00:23:17,280 --> 00:23:19,160
Speaker 3: Here we go. Don't tell me, man, here we go.

526
00:23:19,320 --> 00:23:22,399
Speaker 1: Fasten your safety beltage, don't tell me. Wait for this

527
00:23:22,480 --> 00:23:24,920
Speaker 1: number to come up, and press the hell out of you.

528
00:23:25,040 --> 00:23:27,960
Speaker 15: To get by in California, according to money Lion.

529
00:23:27,880 --> 00:23:29,320
Speaker 3: What do you think it is? What do you think

530
00:23:29,320 --> 00:23:31,040
Speaker 3: the number is? Yeah? What do you think the number is?

531
00:23:31,240 --> 00:23:35,360
Speaker 1: I bet it's close to eighty grand. It might be more.

532
00:23:36,119 --> 00:23:37,560
Speaker 1: I would say eighty five thousand.

533
00:23:38,200 --> 00:23:40,000
Speaker 3: How do you I think that's a really good guess.

534
00:23:40,040 --> 00:23:41,439
Speaker 3: What do you think it is? I think it's that

535
00:23:41,680 --> 00:23:42,840
Speaker 3: high end. There, I'll go nine.

536
00:23:42,920 --> 00:23:45,800
Speaker 15: You just for to be different, you need to be

537
00:23:45,880 --> 00:23:49,560
Speaker 15: making about forty six bucks an hour, or more than

538
00:23:49,600 --> 00:23:51,200
Speaker 15: seventy nine thousand.

539
00:23:50,800 --> 00:23:51,400
Speaker 3: Dollars a year.

540
00:23:51,480 --> 00:23:53,359
Speaker 1: Now we got close, you get close? Set Yeah, about

541
00:23:53,359 --> 00:23:56,320
Speaker 1: eighty thousand dollars a year to make it in California.

542
00:23:55,920 --> 00:24:00,560
Speaker 15: To cover just the necessities such as housing, groceries, you, utilities,

543
00:24:00,800 --> 00:24:06,200
Speaker 15: and healthcare. In fact, two states, and just two states alone,

544
00:24:06,320 --> 00:24:09,000
Speaker 15: according to money Line, are more expensive than California.

545
00:24:09,080 --> 00:24:12,080
Speaker 1: Ooh, what states of morning? Hawaii one of them?

546
00:24:12,200 --> 00:24:14,000
Speaker 3: Oh yeah, maybe, I don't know.

547
00:24:14,119 --> 00:24:16,480
Speaker 15: They would be Massachusetts where you need to be pulling

548
00:24:16,480 --> 00:24:17,960
Speaker 15: down about ninety thousand a year.

549
00:24:18,000 --> 00:24:24,120
Speaker 3: If your ends meet or Hawaii nailed it, nailed.

550
00:24:23,800 --> 00:24:27,480
Speaker 15: It Hawaii, Hawaii where you have to pull down about

551
00:24:27,520 --> 00:24:29,040
Speaker 15: one hundred and eleven thousand.

552
00:24:29,320 --> 00:24:33,080
Speaker 1: Wow, man, how are you gonna make one hundred and

553
00:24:33,080 --> 00:24:34,400
Speaker 1: eleven thousand in Hawaii?

554
00:24:34,600 --> 00:24:36,560
Speaker 3: What business do you as? It's a lot of surfing

555
00:24:36,640 --> 00:24:39,080
Speaker 3: lessons man, man to make ends meet?

556
00:24:39,520 --> 00:24:41,679
Speaker 15: But how does this jibe with what we actually know

557
00:24:41,720 --> 00:24:43,680
Speaker 15: about how much people really do make?

558
00:24:43,880 --> 00:24:44,840
Speaker 3: Well, that's another thing.

559
00:24:45,119 --> 00:24:48,240
Speaker 15: A separate report from the job site zip recruiter says

560
00:24:48,280 --> 00:24:51,440
Speaker 15: that the average hourly wage in California is thirty three

561
00:24:51,480 --> 00:24:54,399
Speaker 15: dollars and fifty cents, which is well below what that

562
00:24:54,600 --> 00:24:57,080
Speaker 15: other study says you need to be making. And so

563
00:24:57,320 --> 00:24:58,200
Speaker 15: by that man.

564
00:24:58,160 --> 00:25:00,639
Speaker 1: Who's making thirty three dollars an hour, that's a lot.

565
00:25:01,359 --> 00:25:03,840
Speaker 1: It's a lot of money to make three bucks an hour.

566
00:25:04,320 --> 00:25:06,120
Speaker 1: I mean, that's what surgeons get, I guess.

567
00:25:06,119 --> 00:25:08,760
Speaker 3: But with overtime and stuff, you got thirty three.

568
00:25:08,880 --> 00:25:12,919
Speaker 15: Maybe the necessities in California would bankrupt most families. But

569
00:25:12,960 --> 00:25:15,199
Speaker 15: since that's obviously not the case, what do we know

570
00:25:15,320 --> 00:25:17,600
Speaker 15: is probably happening. What we know is a lot of

571
00:25:17,600 --> 00:25:19,639
Speaker 15: families are getting by on not just one job, but

572
00:25:19,800 --> 00:25:23,520
Speaker 15: two jobs or three jobs to make ends meet. Moreover,

573
00:25:23,760 --> 00:25:26,480
Speaker 15: many families just have to live farther and farther away

574
00:25:26,520 --> 00:25:30,440
Speaker 15: from their work just to be able to afford accommodations.

575
00:25:30,560 --> 00:25:33,120
Speaker 15: And that's a very challenging place to be. What can

576
00:25:33,160 --> 00:25:34,920
Speaker 15: you do about it? Well, aside from the two.

577
00:25:34,880 --> 00:25:40,439
Speaker 1: Three, rob a bank, that's my suggestion going there and

578
00:25:40,520 --> 00:25:41,960
Speaker 1: you know rob somebody.

579
00:25:42,320 --> 00:25:44,600
Speaker 15: Well, aside from the two three or four jobs, you

580
00:25:44,640 --> 00:25:48,160
Speaker 15: could move to the state that the money Lion says

581
00:25:48,240 --> 00:25:48,880
Speaker 15: is the cheapest.

582
00:25:49,000 --> 00:25:54,399
Speaker 1: Oh what state is the cheapest? I bet that's Mississippi

583
00:25:54,560 --> 00:26:00,879
Speaker 1: or North Dakota, Arizona come to mind, maybe Wyoming.

584
00:26:01,240 --> 00:26:04,800
Speaker 3: No, let's see, and that would be Mississippi. Oh, you

585
00:26:04,920 --> 00:26:06,120
Speaker 3: nailed it, Johnson.

586
00:26:06,200 --> 00:26:10,000
Speaker 1: Some credit the Mississippy the cheapest place, the best place

587
00:26:10,080 --> 00:26:11,280
Speaker 1: to live in America.

588
00:26:11,320 --> 00:26:12,080
Speaker 3: It's cheapest.

589
00:26:12,600 --> 00:26:15,960
Speaker 1: I think it's the best place in America. Okay, you

590
00:26:15,960 --> 00:26:18,119
Speaker 1: can enjoy yourself in Mississippi where.

591
00:26:17,960 --> 00:26:20,159
Speaker 15: You only need to be making about forty five thousand

592
00:26:20,160 --> 00:26:21,960
Speaker 15: dollars a year to make your nut.

593
00:26:22,119 --> 00:26:24,359
Speaker 14: Oh that was my question, because there has been somewhat

594
00:26:24,359 --> 00:26:27,200
Speaker 14: of a cal exit. People are leaving. Where are they

595
00:26:27,200 --> 00:26:29,600
Speaker 14: going and is it based on this money Lion study?

596
00:26:30,040 --> 00:26:32,120
Speaker 3: Where they're not going? And that's Mississippi.

597
00:26:32,600 --> 00:26:34,600
Speaker 15: That's not true, not at all all right, and they're

598
00:26:34,600 --> 00:26:37,240
Speaker 15: mostly going to Florida, it turns out in Texas. Florida

599
00:26:37,240 --> 00:26:40,000
Speaker 15: and Texas out and they have their own issues there. But no,

600
00:26:40,040 --> 00:26:42,800
Speaker 15: if you want to be really getting by and making

601
00:26:42,800 --> 00:26:44,879
Speaker 15: all that on a lower income, you'll probably want to

602
00:26:44,880 --> 00:26:47,400
Speaker 15: look at some of the southern states, according to this study.

603
00:26:47,560 --> 00:26:49,639
Speaker 15: But then again, you're not going to have the quality

604
00:26:49,680 --> 00:26:51,320
Speaker 15: of life that California offers.

605
00:26:51,640 --> 00:26:55,040
Speaker 1: That's probably true, you know, But then again, you won't

606
00:26:55,040 --> 00:26:57,080
Speaker 1: have people talking to you about how they ran a

607
00:26:57,080 --> 00:27:00,920
Speaker 1: marathon all the time in Mississippi. I bet nobody has

608
00:27:01,000 --> 00:27:06,760
Speaker 1: ever run a marathon in Mississippi. Maybe I think it

609
00:27:06,880 --> 00:27:13,520
Speaker 1: means Mississippi means no marathon. I didn't realize people A

610
00:27:13,560 --> 00:27:16,720
Speaker 1: bet people in Mississippi are happier than most places because

611
00:27:16,720 --> 00:27:18,320
Speaker 1: you don't have to earn much money. You can work,

612
00:27:18,359 --> 00:27:19,679
Speaker 1: you know, four hours a day.

613
00:27:20,040 --> 00:27:22,919
Speaker 3: I think there's a lot that's not so great in Mississippi. Really,

614
00:27:22,960 --> 00:27:25,000
Speaker 3: is that right? You think? You think? Miss I think

615
00:27:25,040 --> 00:27:28,199
Speaker 3: there's a reason that it's the chiefest. Yes, really, have

616
00:27:28,200 --> 00:27:29,199
Speaker 3: you ever been to Mississippi?

617
00:27:29,359 --> 00:27:29,520
Speaker 2: No?

618
00:27:29,560 --> 00:27:32,640
Speaker 3: I have? Oh, okay, And I think when you ask

619
00:27:32,720 --> 00:27:35,200
Speaker 3: me that question. In twenty years, should I be, You'll

620
00:27:35,200 --> 00:27:37,240
Speaker 3: be living in Mississippi. I think I'll be giving you

621
00:27:37,280 --> 00:27:37,840
Speaker 3: the same answer.

622
00:27:37,880 --> 00:27:39,800
Speaker 1: That's right, I'm going to Mississippi.

623
00:27:41,359 --> 00:27:45,040
Speaker 9: You're listening to Tim Conway Junior on demand from KFI

624
00:27:45,359 --> 00:27:47,840
Speaker 9: AM six forty mark.

625
00:27:47,880 --> 00:27:51,920
Speaker 1: You're very aware of your look. Do you have male

626
00:27:52,119 --> 00:27:53,520
Speaker 1: beauty products that you use?

627
00:27:53,760 --> 00:27:56,879
Speaker 3: I don't really am like. I'm not a lotion or

628
00:27:57,040 --> 00:27:59,480
Speaker 3: not a perfume lotion guy. I ought to be, but

629
00:27:59,560 --> 00:27:59,840
Speaker 3: I'm not.

630
00:28:00,320 --> 00:28:02,119
Speaker 1: I need something for the bags under my eyes.

631
00:28:02,240 --> 00:28:04,760
Speaker 3: Now, me too, Man, I'm starting to look so tired,

632
00:28:04,800 --> 00:28:07,119
Speaker 3: and that's because I haven't slept in so long. Yeah,

633
00:28:07,280 --> 00:28:09,520
Speaker 3: you got to sleep. Yeah, that's the problem. You actually

634
00:28:09,560 --> 00:28:12,480
Speaker 3: look good. What's I don't have any prefects? Is there

635
00:28:12,640 --> 00:28:14,320
Speaker 3: some kind of procedure that they're pitching?

636
00:28:14,520 --> 00:28:14,800
Speaker 7: No?

637
00:28:15,000 --> 00:28:19,320
Speaker 1: I eat too much salt. My favorite meal is beer nuts,

638
00:28:20,359 --> 00:28:22,200
Speaker 1: and there's a lot of salt that comes with them.

639
00:28:22,359 --> 00:28:24,760
Speaker 3: Yeah, you know, but isn't the salt the best part?

640
00:28:25,480 --> 00:28:28,480
Speaker 1: I put extra salt on it. I got a burrito

641
00:28:28,600 --> 00:28:30,879
Speaker 1: from King Taco this weekend. I've brought it home and

642
00:28:30,920 --> 00:28:34,000
Speaker 1: to put salt on it. My wife's like, Jesus, what's

643
00:28:34,040 --> 00:28:36,560
Speaker 1: going on with you. I said, just need a little

644
00:28:36,600 --> 00:28:40,200
Speaker 1: more salt. I love salt. I don't care what anyone says.

645
00:28:40,320 --> 00:28:42,400
Speaker 3: What salt is. It might take me out early. It's

646
00:28:42,440 --> 00:28:44,360
Speaker 3: good for you, though, is it really well? I mean

647
00:28:44,520 --> 00:28:48,760
Speaker 3: in those kind of quantities, I mean, too much of anything? Yeah,

648
00:28:48,800 --> 00:28:51,400
Speaker 3: all right, let's find out what young men are doing. Yeah,

649
00:28:51,480 --> 00:28:54,640
Speaker 3: now do they run the marathon? They're beautying in themselves?

650
00:28:54,680 --> 00:28:54,800
Speaker 2: Up.

651
00:28:54,880 --> 00:28:58,440
Speaker 10: These three tines from the same high school died within weeks.

652
00:28:58,800 --> 00:29:04,640
Speaker 3: Well that doesn't that's the wrong story. Hold on, that's

653
00:29:04,640 --> 00:29:06,920
Speaker 3: a rough way to look better to just check out.

654
00:29:07,200 --> 00:29:09,920
Speaker 3: I'm sorry about that. Where was it? Where was that?

655
00:29:10,440 --> 00:29:11,120
Speaker 3: Oh my god?

656
00:29:11,160 --> 00:29:14,960
Speaker 1: Story on what these kids are doing? Uh not constant living,

657
00:29:15,120 --> 00:29:18,840
Speaker 1: HBO customer service bakery. I'll find it, guess Oh here, Okay.

658
00:29:20,080 --> 00:29:24,360
Speaker 16: Looks maxing once obscure online trend is moving into the

659
00:29:24,360 --> 00:29:24,840
Speaker 16: main sit.

660
00:29:24,760 --> 00:29:28,560
Speaker 1: You hear what it's called? Look looks looks maxing, looks maxing.

661
00:29:28,920 --> 00:29:32,240
Speaker 1: What a dumb title. Yeah that is kind of looks massing.

662
00:29:32,320 --> 00:29:32,720
Speaker 3: It looks.

663
00:29:33,880 --> 00:29:38,560
Speaker 16: Yes, once obscure online trend is moving into the mainstream,

664
00:29:38,600 --> 00:29:41,680
Speaker 16: appealing mainly to boys and young men. It's an effort

665
00:29:41,680 --> 00:29:44,800
Speaker 16: to maximize your looks. Often take it to the extreme.

666
00:29:44,920 --> 00:29:46,600
Speaker 1: What do you do, Crozer, do you have any do

667
00:29:46,640 --> 00:29:49,200
Speaker 1: you look max Do you do your eyes or face?

668
00:29:49,400 --> 00:29:51,000
Speaker 7: Or I do not.

669
00:29:54,200 --> 00:29:55,120
Speaker 3: Very well? Answered?

670
00:29:55,320 --> 00:29:58,280
Speaker 1: What about you, Steffos? You do anything to maximize that?

671
00:29:58,360 --> 00:30:05,760
Speaker 3: Put them a little bit? Yeah, just vitamin c retinal topical.

672
00:30:05,840 --> 00:30:06,600
Speaker 3: Didn't expect that.

673
00:30:06,760 --> 00:30:09,040
Speaker 1: Yeah, what is that? Is it coming in like a

674
00:30:09,720 --> 00:30:10,360
Speaker 1: eye dropper?

675
00:30:10,800 --> 00:30:13,040
Speaker 3: Yeah? You know, and you put it on? What right

676
00:30:13,040 --> 00:30:15,720
Speaker 3: after a shower? Mmm? Do you have it?

677
00:30:15,800 --> 00:30:18,080
Speaker 1: Do you have a little like a mirror you sit

678
00:30:18,160 --> 00:30:19,720
Speaker 1: at with with your robe on?

679
00:30:20,400 --> 00:30:22,480
Speaker 3: Yeah, it's like it's right in the hallway, so I

680
00:30:22,560 --> 00:30:24,400
Speaker 3: like that way you can follow the steam from the shower.

681
00:30:24,440 --> 00:30:26,080
Speaker 1: So I sit in the Are those things called bell?

682
00:30:26,240 --> 00:30:30,520
Speaker 1: Where is right? Is that where you spend some of

683
00:30:30,520 --> 00:30:31,800
Speaker 1: your crash money on the vanity?

684
00:30:31,880 --> 00:30:32,080
Speaker 2: Yeah?

685
00:30:33,120 --> 00:30:34,560
Speaker 1: Do you have a magnifying mirror?

686
00:30:35,400 --> 00:30:37,440
Speaker 3: No that I don't have. I have one.

687
00:30:37,480 --> 00:30:40,440
Speaker 1: I threw it away. Why you don't what it's not?

688
00:30:40,440 --> 00:30:40,520
Speaker 5: Not?

689
00:30:40,640 --> 00:30:43,800
Speaker 1: After forty you want to ever magnify anything that's going on,

690
00:30:43,880 --> 00:30:45,120
Speaker 1: It'll drive you crazy.

691
00:30:45,360 --> 00:30:48,680
Speaker 16: The goal to achieve what looks Maxer's call ascension or

692
00:30:48,720 --> 00:30:51,360
Speaker 16: would they consider the optimal measure of beauty?

693
00:30:51,520 --> 00:30:55,160
Speaker 1: Okay, what are they going after? Ascension, ascension, all right,

694
00:30:55,200 --> 00:30:58,920
Speaker 1: the maximal amount of beauty optimal?

695
00:30:58,960 --> 00:31:01,479
Speaker 16: Would they consider the optimal measure of beauty?

696
00:31:01,680 --> 00:31:04,240
Speaker 11: We're operating in a society that's extremely shallow.

697
00:31:04,320 --> 00:31:06,920
Speaker 3: Kareem Shami is a looks men, you could say that again.

698
00:31:07,040 --> 00:31:09,560
Speaker 11: We're operating in a society that's extremely shallow.

699
00:31:09,640 --> 00:31:12,120
Speaker 1: Ye, no kidding, huh, this guy just figured that out.

700
00:31:12,680 --> 00:31:14,520
Speaker 1: You know, I think it's happening in society.

701
00:31:15,080 --> 00:31:15,280
Speaker 4: Uh.

702
00:31:15,680 --> 00:31:22,040
Speaker 1: You know, species haven't changed over tens of thousands of years.

703
00:31:22,120 --> 00:31:23,880
Speaker 3: I love it. This is my favorite part of Conway

704
00:31:23,960 --> 00:31:24,840
Speaker 3: right now. In classes.

705
00:31:25,120 --> 00:31:30,880
Speaker 1: Yeah, like lions, the professor, lions still have the hierarchy

706
00:31:31,040 --> 00:31:34,880
Speaker 1: in the lions den, and so do horses and elephants.

707
00:31:34,960 --> 00:31:38,320
Speaker 1: You know, it's a very you know, some are male dominated,

708
00:31:38,360 --> 00:31:39,520
Speaker 1: some are female dominated.

709
00:31:39,560 --> 00:31:40,160
Speaker 3: It's primal.

710
00:31:40,480 --> 00:31:45,280
Speaker 1: Yes, some are patriotics or matic, you know, some are

711
00:31:45,320 --> 00:31:47,720
Speaker 1: run by men, some are run by women. But with

712
00:31:47,840 --> 00:31:52,080
Speaker 1: human beings, we've had tens of thousands or hundreds of

713
00:31:52,120 --> 00:31:56,960
Speaker 1: thousands of years run by men, male dominated societies. You

714
00:31:56,960 --> 00:31:58,960
Speaker 1: don't have to go too far back where women didn't

715
00:31:59,000 --> 00:32:01,560
Speaker 1: even have the right to vote, and now it's it's

716
00:32:01,600 --> 00:32:04,240
Speaker 1: going the other way where women there are more women

717
00:32:04,240 --> 00:32:07,000
Speaker 1: in law school. Now, there are more women in medical

718
00:32:07,040 --> 00:32:10,280
Speaker 1: school now, there are more more women running companies than

719
00:32:10,280 --> 00:32:13,000
Speaker 1: ever before. And it's and we're having to adjust to that.

720
00:32:13,720 --> 00:32:15,240
Speaker 1: I'm not saying it's a bad thing. I'm saying we

721
00:32:15,440 --> 00:32:18,880
Speaker 1: have to as as a species. No other species had

722
00:32:18,920 --> 00:32:22,320
Speaker 1: to do that. We have to or else we were

723
00:32:22,520 --> 00:32:27,120
Speaker 1: like male Chauvens pigs unless unless you conform no.

724
00:32:27,360 --> 00:32:30,520
Speaker 3: Well on the on the women thing, yeah that's right, yeah, yeah, I.

725
00:32:30,480 --> 00:32:33,120
Speaker 1: Mean there are more women in law school right now

726
00:32:33,160 --> 00:32:38,120
Speaker 1: the men. Right, more women doctor in med school than men.

727
00:32:38,920 --> 00:32:43,320
Speaker 3: How how is that related to the the where we

728
00:32:43,360 --> 00:32:45,600
Speaker 3: started with the with the beauty, with the don't think

729
00:32:45,600 --> 00:32:47,680
Speaker 3: there's a connection to them. I'm just asking. I'm sure

730
00:32:47,680 --> 00:32:49,160
Speaker 3: there is doctor that you know.

731
00:32:49,200 --> 00:32:51,280
Speaker 1: A hundred years ago, a guy would never think about

732
00:32:51,960 --> 00:32:55,400
Speaker 1: using eyeline or bags or any of that stuff.

733
00:32:55,440 --> 00:32:58,400
Speaker 3: But now, yeah, guys used to be rough and tumble,

734
00:32:58,720 --> 00:32:59,080
Speaker 3: that's right.

735
00:32:59,080 --> 00:33:01,160
Speaker 1: But you can't be rough in anymore because you look like,

736
00:33:01,520 --> 00:33:02,800
Speaker 1: you know, like some kind of nut.

737
00:33:03,680 --> 00:33:03,920
Speaker 3: You know.

738
00:33:04,040 --> 00:33:06,440
Speaker 1: But it's going to take a while, you know, we

739
00:33:06,480 --> 00:33:09,160
Speaker 1: can't get all of that, you know, all of those

740
00:33:09,240 --> 00:33:13,480
Speaker 1: hundreds of thousands of years of instincts gone in twenty

741
00:33:13,560 --> 00:33:14,600
Speaker 1: years which you can't do it.

742
00:33:14,640 --> 00:33:17,120
Speaker 3: The instinct will still likely rule. Don't you think we

743
00:33:17,280 --> 00:33:19,680
Speaker 3: just kind of play it over with other stuff.

744
00:33:19,560 --> 00:33:22,480
Speaker 1: Right, But that's what the Middle East is fighting for.

745
00:33:22,680 --> 00:33:25,920
Speaker 1: They want to keep it a male dominated world and

746
00:33:26,000 --> 00:33:30,800
Speaker 1: male dominated society. And we've told them know that women

747
00:33:30,840 --> 00:33:32,760
Speaker 1: are going to play an equal part and they don't

748
00:33:32,880 --> 00:33:36,720
Speaker 1: like it. They don't like it. How about that? And

749
00:33:36,760 --> 00:33:37,800
Speaker 1: I'll stand and tell you.

750
00:33:37,720 --> 00:33:42,640
Speaker 3: That, yeah, do it. They don't like it. Well, well,

751
00:33:42,760 --> 00:33:49,040
Speaker 3: i's they have a religiosity laid in. It's more than just.

752
00:33:49,000 --> 00:33:51,680
Speaker 1: Two but whatever the yeah, but whatever the reason is.

753
00:33:52,520 --> 00:33:56,480
Speaker 3: You're right, it's definitely pretty heavy on the patriarchy, very heavy. Yeah.

754
00:33:56,520 --> 00:33:58,360
Speaker 1: I mean you there are some countries as a woman

755
00:33:58,400 --> 00:34:01,040
Speaker 1: you can't even go to a funeral or or walk

756
00:34:01,080 --> 00:34:03,120
Speaker 1: around without that beekeeper's outfit on.

757
00:34:03,400 --> 00:34:06,200
Speaker 3: Yeah, they don't call it that.

758
00:34:09,000 --> 00:34:11,600
Speaker 11: We're operating in a society that's extremely shallow.

759
00:34:11,680 --> 00:34:14,920
Speaker 16: Kareem Shami is a looks maxing influencer with more than

760
00:34:14,960 --> 00:34:17,680
Speaker 16: two million followers across social media.

761
00:34:17,520 --> 00:34:21,360
Speaker 1: Right, and he's calling us shallow, this chap.

762
00:34:21,239 --> 00:34:23,800
Speaker 11: We're operating in a society that's extremely shallow.

763
00:34:23,880 --> 00:34:26,319
Speaker 3: Yeah, and he's taking advantage of it. This reminds me

764
00:34:26,480 --> 00:34:29,080
Speaker 3: of when that show Queer Eye for the Straight Guy

765
00:34:29,200 --> 00:34:31,799
Speaker 3: first came on, and they came on with all of this.

766
00:34:32,239 --> 00:34:35,319
Speaker 3: They were making over guys who didn't really have any

767
00:34:35,400 --> 00:34:37,360
Speaker 3: kind of skills when it came to grooming and stuff,

768
00:34:37,360 --> 00:34:39,000
Speaker 3: so they taught them how to shave, they taught him

769
00:34:39,000 --> 00:34:41,120
Speaker 3: how to dress, all this stuff, and you had these

770
00:34:41,640 --> 00:34:46,399
Speaker 3: queer guys who are working on these straight guys and

771
00:34:46,960 --> 00:34:49,440
Speaker 3: with a big reveal. I mean that was the first

772
00:34:49,520 --> 00:34:51,799
Speaker 3: and now this is just like another generation of that.

773
00:34:51,920 --> 00:34:53,960
Speaker 11: I guess we're not saying go past your genetic limits

774
00:34:53,960 --> 00:34:56,400
Speaker 11: and going to extreme measures, but trying to optimize your

775
00:34:56,440 --> 00:34:58,520
Speaker 11: lifestyle around your appearance.

776
00:34:58,800 --> 00:35:03,080
Speaker 16: So what is the deal? Male face Controversial looks Maxer

777
00:35:03,120 --> 00:35:05,760
Speaker 16: Clavicular says he has an idea.

778
00:35:05,719 --> 00:35:08,759
Speaker 17: The most attractive man in the world. I would say

779
00:35:08,760 --> 00:35:12,120
Speaker 17: that in terms of harmony percentage. It's like a very

780
00:35:12,120 --> 00:35:14,200
Speaker 17: objective thing. This is not really based on like an

781
00:35:14,239 --> 00:35:16,560
Speaker 17: opinion of mine would be Matt Bomber.

782
00:35:16,880 --> 00:35:21,280
Speaker 16: The actors looks celebrated in online forums where looks Maxers

783
00:35:21,320 --> 00:35:23,200
Speaker 16: discuss their ideal appearance.

784
00:35:23,560 --> 00:35:24,600
Speaker 3: What a sick term.

785
00:35:26,040 --> 00:35:28,399
Speaker 1: F all those guys look maxers. You know, I don't

786
00:35:28,400 --> 00:35:30,359
Speaker 1: want to I don't want to be friends with a guy. Hey,

787
00:35:30,360 --> 00:35:32,759
Speaker 1: I'm a looks Mac or Maxer. Oh you know you?

788
00:35:32,760 --> 00:35:35,040
Speaker 1: How about an a hole? That's what you're you're most

789
00:35:35,080 --> 00:35:38,879
Speaker 1: close to. Oh you're taking off right, Buddy said, we're

790
00:35:38,880 --> 00:35:43,399
Speaker 1: gonna talkbacks again at nine, so get you. We've got

791
00:35:43,400 --> 00:35:44,960
Speaker 1: some more that we didn't use them last week, so

792
00:35:44,960 --> 00:35:47,120
Speaker 1: we love it. We got a ton, but we could

793
00:35:47,120 --> 00:35:48,880
Speaker 1: still use a few more. Go to the app. Go

794
00:35:48,920 --> 00:35:52,640
Speaker 1: to the iHeartRadio app, click on the Conway Show. Click

795
00:35:52,680 --> 00:35:56,560
Speaker 1: on the right top red circle with the white microphone.

796
00:35:56,600 --> 00:35:59,839
Speaker 1: Leave us a twenty to thirty second talkback and we'll

797
00:36:00,040 --> 00:36:02,160
Speaker 1: i played on the air. We are live on KFI

798
00:36:02,239 --> 00:36:04,480
Speaker 1: AM six forty, ding Dong.

799
00:36:05,800 --> 00:36:07,160
Speaker 2: This is KFI.

800
00:36:07,400 --> 00:36:09,919
Speaker 1: This has been the Conway Show on demand on the

801
00:36:09,960 --> 00:36:14,440
Speaker 1: iHeartRadio app. There is live Join us on KFI AM

802
00:36:14,480 --> 00:36:18,240
Speaker 1: six forty weeknight six to ten pm Monday through Friday,

803
00:36:18,480 --> 00:36:19,640
Speaker 1: ding Dong with this app