1
00:00:02,720 --> 00:00:07,200
Speaker 1: Bloomberg Audio Studios, podcasts, radio news.

2
00:00:09,200 --> 00:00:12,360
Speaker 2: Growing up in a small town in Kansas, Danielle Norwood

3
00:00:12,560 --> 00:00:15,920
Speaker 2: loved listening to the radio, but she didn't predict it

4
00:00:15,960 --> 00:00:17,079
Speaker 2: would become her career.

5
00:00:17,440 --> 00:00:21,320
Speaker 1: I had an opportunity to babysit for the general manager

6
00:00:21,440 --> 00:00:24,599
Speaker 1: of a radio station in town. He said, you have

7
00:00:24,640 --> 00:00:28,200
Speaker 1: a really interesting voice. Have you ever thought about getting

8
00:00:28,200 --> 00:00:28,960
Speaker 1: into radio?

9
00:00:29,480 --> 00:00:32,080
Speaker 2: She gave it a try, and soon she was hooked.

10
00:00:32,560 --> 00:00:35,320
Speaker 2: She started out as a board operator and worked her

11
00:00:35,360 --> 00:00:38,320
Speaker 2: way up the radio ranks in Solina, Kansas.

12
00:00:38,720 --> 00:00:41,480
Speaker 1: Back in the day, you're pushing commercials and you would

13
00:00:41,479 --> 00:00:44,160
Speaker 1: give the weather, and I actually had a radio show,

14
00:00:44,200 --> 00:00:45,720
Speaker 1: so I was playing records.

15
00:00:46,000 --> 00:00:49,200
Speaker 2: Eventually she moved to Topeka to host her own talk show.

16
00:00:49,840 --> 00:00:52,559
Speaker 2: By last fall, she was nearly forty years into her

17
00:00:52,640 --> 00:00:55,760
Speaker 2: radio career and hosting an award winning morning show for

18
00:00:55,800 --> 00:01:00,840
Speaker 2: a local station. But last November her station told her

19
00:01:00,920 --> 00:01:05,280
Speaker 2: they were letting her go. She was disappointed, upset, but

20
00:01:05,360 --> 00:01:07,880
Speaker 2: you thought that given her experience, she'd be able to

21
00:01:07,880 --> 00:01:10,360
Speaker 2: get a new job at another station before too long.

22
00:01:10,520 --> 00:01:14,119
Speaker 1: And I wasn't even going to just stay in just

23
00:01:14,600 --> 00:01:19,440
Speaker 1: Kansas or the central area. I was open to going

24
00:01:19,959 --> 00:01:21,880
Speaker 1: anywhere to get a good job.

25
00:01:22,280 --> 00:01:25,160
Speaker 2: How long did you expect it to take to find

26
00:01:25,360 --> 00:01:26,000
Speaker 2: a new job.

27
00:01:26,280 --> 00:01:30,920
Speaker 1: It was in the holidays season, so I thought, you know,

28
00:01:31,319 --> 00:01:36,240
Speaker 1: maybe by the end of January I would be doing

29
00:01:36,319 --> 00:01:40,880
Speaker 1: something radio related. And when that didn't happen, I'm like, okay,

30
00:01:40,959 --> 00:01:44,920
Speaker 1: well wait a second. So my next thought was, Okay,

31
00:01:45,040 --> 00:01:48,880
Speaker 1: I've got public relations experience, I could do marketing. I

32
00:01:48,920 --> 00:01:52,000
Speaker 1: have all these other things that are a part of

33
00:01:52,120 --> 00:01:55,440
Speaker 1: being in broadcasting that I could apply for.

34
00:01:55,920 --> 00:01:59,960
Speaker 2: But as weeks turned into months, Danielle started to get demoralized.

35
00:02:00,720 --> 00:02:05,440
Speaker 1: Nobody was even thinking to give me an interview after

36
00:02:05,520 --> 00:02:09,359
Speaker 1: a long time. It really your ego takes a hit.

37
00:02:10,000 --> 00:02:12,160
Speaker 2: She realized she might have to pivot.

38
00:02:12,520 --> 00:02:16,680
Speaker 1: Well, all of the rejections had gotten into the hundreds, Like,

39
00:02:16,960 --> 00:02:19,600
Speaker 1: maybe this is not working for me.

40
00:02:20,040 --> 00:02:22,640
Speaker 2: She started looking at job she'd never have considered before,

41
00:02:23,120 --> 00:02:27,480
Speaker 2: jobs outside of radio and marketing. And Danielle is one

42
00:02:27,480 --> 00:02:30,280
Speaker 2: of many job hunters right now in that position who

43
00:02:30,280 --> 00:02:34,600
Speaker 2: are navigating a uniquely challenging time in the American labor market.

44
00:02:35,000 --> 00:02:38,640
Speaker 2: Bloomberg's Mike Sasso says some of them are expanding their

45
00:02:38,720 --> 00:02:41,160
Speaker 2: job search in ways they wouldn't have expected.

46
00:02:41,440 --> 00:02:42,280
Speaker 3: I think when you do.

47
00:02:42,360 --> 00:02:46,440
Speaker 4: See people line up to be traffic flaggers, and you

48
00:02:46,520 --> 00:02:51,600
Speaker 4: hear that jobs at recyclable centers are much more easily

49
00:02:52,000 --> 00:02:54,960
Speaker 4: filled now. It's a sign that things are rough out there.

50
00:03:00,160 --> 00:03:02,840
Speaker 2: Holder, And this is the big take from Bloomberg News

51
00:03:03,400 --> 00:03:07,200
Speaker 2: Today on the show inside an unusual dynamic playing out

52
00:03:07,240 --> 00:03:10,920
Speaker 2: in one corner of the American labor market. Jobs once

53
00:03:11,000 --> 00:03:20,160
Speaker 2: considered undesirable are suddenly seeing higher applications and lower turnover. Mike'

54
00:03:20,160 --> 00:03:23,320
Speaker 2: sasso covers the economy for Bloomberg and to get a

55
00:03:23,360 --> 00:03:26,520
Speaker 2: pulse on how the economy is doing, he looks at

56
00:03:26,520 --> 00:03:30,080
Speaker 2: things like the unemployment rate, sure, but also at less

57
00:03:30,160 --> 00:03:34,560
Speaker 2: formal indicators of how real people are experiencing the economy

58
00:03:34,639 --> 00:03:37,880
Speaker 2: right now. And a few weeks back, an interesting data

59
00:03:37,880 --> 00:03:39,560
Speaker 2: point caught his eye.

60
00:03:39,640 --> 00:03:43,760
Speaker 4: Indeed, the big Giant job board just put out some

61
00:03:43,920 --> 00:03:50,160
Speaker 4: news about Christmas, Thanksgiving kind of holiday season jobs. They're

62
00:03:50,200 --> 00:03:53,120
Speaker 4: able to monitor, you know, how many people click on

63
00:03:53,520 --> 00:03:57,840
Speaker 4: seasonal job postings on Indeed, and they were showing a.

64
00:03:57,800 --> 00:04:02,680
Speaker 2: Spike, a nearly thirty cent spike year over year, and

65
00:04:02,800 --> 00:04:05,400
Speaker 2: clicks on seasonal job postings on Indeed.

66
00:04:05,640 --> 00:04:09,040
Speaker 4: Sometimes you just operate on hunches as a reporter and

67
00:04:09,440 --> 00:04:14,600
Speaker 4: seasonal jobs, by their nature are kind of your second choice.

68
00:04:14,640 --> 00:04:16,839
Speaker 3: Most people would like to have a permanent job.

69
00:04:17,080 --> 00:04:20,560
Speaker 2: So I just got the wondering, wondering if there are

70
00:04:20,720 --> 00:04:23,479
Speaker 2: other jobs that are typically hard to fill that might

71
00:04:23,560 --> 00:04:25,440
Speaker 2: now be seeing more interest.

72
00:04:26,000 --> 00:04:28,520
Speaker 4: A lot of those are blue collar oriented roles that

73
00:04:28,920 --> 00:04:31,919
Speaker 4: I happen to know that they have very high turnover rates.

74
00:04:32,400 --> 00:04:38,520
Speaker 4: They often have something that makes them less appealing, like stereotypically,

75
00:04:38,600 --> 00:04:41,760
Speaker 4: you know, the waste industry. Solid waste can be a

76
00:04:42,080 --> 00:04:46,680
Speaker 4: difficult role to fill. Traffic flaggers. You're kind of out

77
00:04:46,760 --> 00:04:50,800
Speaker 4: there flagging traffic in thirty degree weather or ninety five

78
00:04:50,839 --> 00:04:53,360
Speaker 4: degree weather, and often for twelve hours at a time.

79
00:04:53,520 --> 00:04:56,320
Speaker 4: The military, for example, it's a job that it can

80
00:04:56,400 --> 00:04:59,640
Speaker 4: be dangerous. Obviously, you can be torn away from your

81
00:04:59,640 --> 00:05:04,120
Speaker 4: family for months or a year on end if you're deployed.

82
00:05:04,240 --> 00:05:11,240
Speaker 2: So high turnover, potentially dangerous, unpleasant, temporary, and lower pay

83
00:05:11,440 --> 00:05:13,520
Speaker 2: are some of the That's pretty much.

84
00:05:13,440 --> 00:05:14,719
Speaker 3: You pretty much wrapped it up.

85
00:05:14,880 --> 00:05:19,799
Speaker 4: There was something unappealing about these jobs that would require

86
00:05:19,880 --> 00:05:22,799
Speaker 4: a second look in a kind of a weaker market,

87
00:05:22,960 --> 00:05:24,960
Speaker 4: and sure enough, there was some evidence that they are

88
00:05:25,000 --> 00:05:27,280
Speaker 4: seeing more interest and more applications.

89
00:05:27,640 --> 00:05:32,600
Speaker 2: Waste management companies are reporting higher employee retention rates. According

90
00:05:32,600 --> 00:05:36,240
Speaker 2: to the Solid Waste Giant waste Management, turnover among garbage

91
00:05:36,279 --> 00:05:40,080
Speaker 2: truck drivers is at an all time company low. Military

92
00:05:40,120 --> 00:05:43,839
Speaker 2: branches are reaching their recruiting goals ahead of schedule this year,

93
00:05:44,640 --> 00:05:48,160
Speaker 2: and traffic flagger companies who send people to direct traffic

94
00:05:48,200 --> 00:05:50,960
Speaker 2: at construction sites are having a good year too.

95
00:05:51,320 --> 00:05:54,320
Speaker 4: Two three years ago, the head of an Atlanta flagging

96
00:05:54,400 --> 00:05:56,680
Speaker 4: company was sort of lucky if he could get ten

97
00:05:56,760 --> 00:05:59,840
Speaker 4: applications a week, and so he's now getting up to

98
00:05:59,880 --> 00:06:03,200
Speaker 4: a week, which is you know what, six or sevenfold increase.

99
00:06:03,800 --> 00:06:06,599
Speaker 4: I don't want to overplay it and say that people

100
00:06:06,640 --> 00:06:09,120
Speaker 4: are lining up and banging down the door to get

101
00:06:09,120 --> 00:06:12,839
Speaker 4: into solid waste jobs or to be traffic flaggers, but

102
00:06:12,920 --> 00:06:15,279
Speaker 4: at the least they're telling me that some of the

103
00:06:15,440 --> 00:06:17,760
Speaker 4: real strain they saw from a couple of years ago

104
00:06:17,800 --> 00:06:18,719
Speaker 4: has alleviated.

105
00:06:19,040 --> 00:06:22,039
Speaker 2: The head of the Atlanta based traffic flagging company told

106
00:06:22,080 --> 00:06:25,400
Speaker 2: Mike he's gotten so much interest he's actually starting to

107
00:06:25,440 --> 00:06:27,880
Speaker 2: be more selective about who he hires.

108
00:06:28,279 --> 00:06:31,040
Speaker 4: He used to basically hire anyone who could pass a

109
00:06:31,120 --> 00:06:36,200
Speaker 4: drug test and pass a certification test three four years ago.

110
00:06:36,600 --> 00:06:39,839
Speaker 4: Now he's only able to hire fifteen percent of the

111
00:06:39,839 --> 00:06:42,080
Speaker 4: people applying to be traffic flaggers.

112
00:06:42,440 --> 00:06:45,520
Speaker 2: A fifteen percent acceptance rate is as selective as the

113
00:06:45,560 --> 00:06:50,720
Speaker 2: top us university's admissions for their first year classes. Some

114
00:06:50,800 --> 00:06:53,720
Speaker 2: of the other jobs Mike is tracking are more traditional,

115
00:06:54,200 --> 00:06:58,320
Speaker 2: but they have certain features that economists call disamenities that

116
00:06:58,400 --> 00:07:02,520
Speaker 2: make them less appealing. Jobs like substitute teaching.

117
00:07:02,760 --> 00:07:04,800
Speaker 4: It's a hard role to fill. I know they have

118
00:07:05,040 --> 00:07:10,120
Speaker 4: historically had high vacancy rates, really irregular work, generally low

119
00:07:10,160 --> 00:07:12,240
Speaker 4: pay seventeen eighteen dollars an hour.

120
00:07:12,960 --> 00:07:14,120
Speaker 3: I can remember.

121
00:07:14,600 --> 00:07:18,960
Speaker 4: Flicking staples at the substitute teachers or shooting spitballs back

122
00:07:19,080 --> 00:07:19,600
Speaker 4: in the day.

123
00:07:20,040 --> 00:07:23,920
Speaker 1: I could tell you everything I'm nervous about because it's

124
00:07:24,040 --> 00:07:28,840
Speaker 1: not in my comfort zone to be in charge of

125
00:07:29,400 --> 00:07:30,600
Speaker 1: a bunch of kids.

126
00:07:30,960 --> 00:07:34,200
Speaker 2: That's Danielle Norwood again. After she was laid off from

127
00:07:34,200 --> 00:07:37,560
Speaker 2: the local radio station, she spent months applying to job

128
00:07:37,640 --> 00:07:40,640
Speaker 2: after job, and when nobody got back to her, she

129
00:07:40,760 --> 00:07:44,840
Speaker 2: started thinking outside the box. She drove uber for a while.

130
00:07:45,040 --> 00:07:47,600
Speaker 2: She'd already been doing that to supplement her radio income,

131
00:07:48,160 --> 00:07:50,640
Speaker 2: but she found that she couldn't make a living from it,

132
00:07:51,240 --> 00:07:53,960
Speaker 2: so this summer she decided she'd apply to get her

133
00:07:54,000 --> 00:07:57,360
Speaker 2: teaching license and become a substitute teacher.

134
00:07:57,760 --> 00:07:59,679
Speaker 5: It's the only thing where the door is open.

135
00:08:00,400 --> 00:08:03,520
Speaker 1: They still need a lot of substitute teachers to help out.

136
00:08:04,080 --> 00:08:07,960
Speaker 2: She can see the disamenities clearly, no paid time off,

137
00:08:08,400 --> 00:08:11,320
Speaker 2: no health insurance, lack of consistency.

138
00:08:11,840 --> 00:08:15,480
Speaker 1: So, I mean, there's all these considerations to have to

139
00:08:15,560 --> 00:08:18,560
Speaker 1: think about, and it's like, well, do I really want

140
00:08:18,600 --> 00:08:23,440
Speaker 1: to do this and I'm not getting what I used

141
00:08:23,440 --> 00:08:25,720
Speaker 1: to get, But at the same time, I need to

142
00:08:25,840 --> 00:08:28,440
Speaker 1: check a little money is better than no money at

143
00:08:28,440 --> 00:08:29,640
Speaker 1: this particular point.

144
00:08:29,920 --> 00:08:32,480
Speaker 2: According to the latest medium wage data from the Bureau

145
00:08:32,520 --> 00:08:37,000
Speaker 2: of Labor Statistics, substitute teachers make about eighteen fifty an hour.

146
00:08:40,800 --> 00:08:43,760
Speaker 2: Coming up How the labor market got to this point

147
00:08:44,160 --> 00:08:56,480
Speaker 2: and what it means for the economy. Bloomberg's Mike Sasso

148
00:08:56,640 --> 00:09:00,440
Speaker 2: has been tracking how traditionally hard to fill jobs are

149
00:09:00,440 --> 00:09:03,520
Speaker 2: starting to get a lot more appealing. It's a sign

150
00:09:03,559 --> 00:09:06,199
Speaker 2: that employers are back in the driver's seat.

151
00:09:06,360 --> 00:09:06,880
Speaker 3: Used to be.

152
00:09:07,000 --> 00:09:10,400
Speaker 4: There was this concept about three years ago or something

153
00:09:10,559 --> 00:09:14,319
Speaker 4: was called labor hoarding, and it was basically the concept

154
00:09:14,400 --> 00:09:17,800
Speaker 4: that employers had had such a hard time filling roles

155
00:09:17,880 --> 00:09:21,200
Speaker 4: during the pandemic that even if things slowed down and

156
00:09:21,240 --> 00:09:23,400
Speaker 4: they were a little top heavy with people, they were

157
00:09:23,480 --> 00:09:26,960
Speaker 4: not going to let workers go. It was a great

158
00:09:27,000 --> 00:09:29,880
Speaker 4: time to be an employee. We saw wage rates rise

159
00:09:30,040 --> 00:09:33,280
Speaker 4: five percent a year. Pretty much. That's all gone away.

160
00:09:33,360 --> 00:09:35,040
Speaker 4: Now it's gotten ugly out there.

161
00:09:35,880 --> 00:09:38,760
Speaker 2: That ugliness in the labor market is showing up in

162
00:09:38,880 --> 00:09:42,800
Speaker 2: economic data in subtle and not so subtle waste.

163
00:09:43,200 --> 00:09:46,160
Speaker 4: The unemployment rate is somewhat Economists will say that it's

164
00:09:46,160 --> 00:09:51,319
Speaker 4: somewhat misleading because there has been this low higher low

165
00:09:51,440 --> 00:09:55,840
Speaker 4: fire phenomenon going on, which basically means there's very very

166
00:09:55,840 --> 00:09:59,319
Speaker 4: little hiring and you're seeing people sit in the unemployment

167
00:09:59,360 --> 00:10:02,959
Speaker 4: line for or six months, eight months, nine months. The

168
00:10:03,080 --> 00:10:08,200
Speaker 4: rate of hiring is actually at recessionary levels. So while

169
00:10:08,200 --> 00:10:10,880
Speaker 4: the unemployment level at four point three percent is still

170
00:10:10,920 --> 00:10:14,960
Speaker 4: fairly low, the rate at which companies are filling roles

171
00:10:15,040 --> 00:10:18,240
Speaker 4: is at recessionary levels, and so that makes it extremely

172
00:10:18,320 --> 00:10:21,600
Speaker 4: hard to get a job. There's a metric where they

173
00:10:21,720 --> 00:10:27,640
Speaker 4: study how long unemployed people have been unemployed. In about

174
00:10:27,720 --> 00:10:31,480
Speaker 4: twenty six percent of unemployed people have been out of

175
00:10:31,520 --> 00:10:33,800
Speaker 4: work for but half year.

176
00:10:34,000 --> 00:10:36,079
Speaker 3: Over a half year. Now that's a very high.

177
00:10:36,000 --> 00:10:39,680
Speaker 4: Level it's one of the highest in the past decade, excluding,

178
00:10:39,800 --> 00:10:42,840
Speaker 4: of course, the pandemic when things are off the charts.

179
00:10:42,920 --> 00:10:45,400
Speaker 4: But I think what it says, it's a sign of

180
00:10:45,440 --> 00:10:48,720
Speaker 4: how challenging it is to define work right now.

181
00:10:50,400 --> 00:10:54,000
Speaker 2: Worker's confidence about finding a new job is also waning.

182
00:10:54,600 --> 00:10:57,439
Speaker 2: A recent Harris poll conducted for Bloomberg found that nearly

183
00:10:57,520 --> 00:11:00,520
Speaker 2: half of employed respondents said it would take them four

184
00:11:00,520 --> 00:11:03,040
Speaker 2: months or more to find a job of similar quality

185
00:11:03,320 --> 00:11:07,120
Speaker 2: if they lost their jobs today. For a widening pool

186
00:11:07,200 --> 00:11:11,760
Speaker 2: of American workers, that's not a hypothetical. Companies from Amazon

187
00:11:11,880 --> 00:11:16,080
Speaker 2: and Target to Ups and Starbucks have collectively announced tens

188
00:11:16,120 --> 00:11:17,840
Speaker 2: of thousands of layoffs this year.

189
00:11:18,120 --> 00:11:21,160
Speaker 4: My colleague just did an article. He's studied something called

190
00:11:21,160 --> 00:11:25,240
Speaker 4: a warn notice. When companies make a mass layoff, they're

191
00:11:25,280 --> 00:11:28,400
Speaker 4: supposed to notify their state government, and it shows up

192
00:11:28,400 --> 00:11:31,800
Speaker 4: in these things called warn notices, And he noted that

193
00:11:32,400 --> 00:11:36,400
Speaker 4: in October nationally there were some of the highest readings

194
00:11:36,440 --> 00:11:38,720
Speaker 4: for warn notices in the past twenty years.

195
00:11:39,000 --> 00:11:42,600
Speaker 6: What we talked about earlier is the fact that the

196
00:11:42,640 --> 00:11:48,040
Speaker 6: power dynamic had switched from the hands of workers into

197
00:11:48,040 --> 00:11:49,080
Speaker 6: the hands of employers.

198
00:11:49,160 --> 00:11:52,760
Speaker 2: What would it take to actually reverse that dynamic again.

199
00:11:53,440 --> 00:11:55,440
Speaker 3: Boy, that's hard to say. I mean, you'd have to

200
00:11:55,480 --> 00:11:57,200
Speaker 3: have some shock.

201
00:11:57,360 --> 00:12:00,959
Speaker 4: I mean, certainly everyone's kind of watching immigrant right now,

202
00:12:01,040 --> 00:12:04,280
Speaker 4: and some of the data has shown a disappearance at

203
00:12:04,360 --> 00:12:07,640
Speaker 4: least from the labor roles of something like two million workers,

204
00:12:08,400 --> 00:12:12,839
Speaker 4: and there has been a lot of confusion over the

205
00:12:12,880 --> 00:12:17,240
Speaker 4: impacts of that. And suddenly, certainly, if those industries are

206
00:12:17,320 --> 00:12:21,080
Speaker 4: potentially at risk of losing a lot of manpower, that

207
00:12:21,320 --> 00:12:23,440
Speaker 4: kind of a shock to the labor market.

208
00:12:23,880 --> 00:12:25,520
Speaker 3: Competitor put power.

209
00:12:25,160 --> 00:12:29,280
Speaker 4: In the hands of workers if there's some major shortage,

210
00:12:29,320 --> 00:12:31,360
Speaker 4: I mean, that would probably be limited there as certain

211
00:12:31,559 --> 00:12:36,640
Speaker 4: roles like construction, like hospitality, you know, hotels. Of course,

212
00:12:37,120 --> 00:12:39,080
Speaker 4: those who would be likely to see it first.

213
00:12:39,840 --> 00:12:42,480
Speaker 2: In the meantime, job seekers who are flocking to jobs

214
00:12:42,520 --> 00:12:46,280
Speaker 2: that haven't always been desirable can take comfort in knowing that,

215
00:12:46,400 --> 00:12:49,600
Speaker 2: even if they're not full time with benefits, they might

216
00:12:49,640 --> 00:12:52,680
Speaker 2: have a better chance of being around for the foreseeable future.

217
00:12:53,440 --> 00:12:57,080
Speaker 2: That's because it's harder to replace them with AI. Unlike

218
00:12:57,160 --> 00:12:59,880
Speaker 2: some of the jobs that have been eliminated recently.

219
00:12:59,640 --> 00:13:05,280
Speaker 4: We have seen some companies specifically acknowledge AI and automation

220
00:13:05,720 --> 00:13:10,440
Speaker 4: being a factor, and some actually mentioned specifically targeting some

221
00:13:10,640 --> 00:13:14,680
Speaker 4: roles for automation, and so some companies seem to be

222
00:13:15,200 --> 00:13:18,880
Speaker 4: taking advantage of the increases in automation and AI right

223
00:13:18,920 --> 00:13:22,040
Speaker 4: now to reduce their costs. It's a little bit worrying

224
00:13:22,080 --> 00:13:24,920
Speaker 4: if you're caught up in that, and so we're kind

225
00:13:24,920 --> 00:13:28,240
Speaker 4: of watching to see how much of that happens as

226
00:13:28,280 --> 00:13:29,600
Speaker 4: you a passing phase.

227
00:13:32,000 --> 00:13:35,199
Speaker 2: Danielle Norwood is trying to look on the bright side.

228
00:13:35,480 --> 00:13:37,920
Speaker 2: She took her licensing exam to teach in the state

229
00:13:37,960 --> 00:13:40,560
Speaker 2: of Missouri and she just got her score back.

230
00:13:40,559 --> 00:13:43,280
Speaker 1: Which was ninety six point one five, which I was

231
00:13:43,320 --> 00:13:46,360
Speaker 1: screaming to Jesus because it was almost like for me

232
00:13:46,520 --> 00:13:49,880
Speaker 1: taking the bar. It was not an easy test to take.

233
00:13:50,440 --> 00:13:53,520
Speaker 2: She's working on getting her Kansas license now too, and

234
00:13:53,600 --> 00:13:56,880
Speaker 2: soon she'll be able to start teaching. And while subbing

235
00:13:57,120 --> 00:13:59,920
Speaker 2: is in her top pick of jobs, there are us

236
00:14:00,320 --> 00:14:02,640
Speaker 2: that Danielle says she's looking forward.

237
00:14:02,360 --> 00:14:06,960
Speaker 5: To being able to hopefully influence kids and to let

238
00:14:06,960 --> 00:14:09,720
Speaker 5: them know that there are people cheering for them and

239
00:14:10,360 --> 00:14:13,360
Speaker 5: if they have challenging situations, because I grew up in

240
00:14:13,400 --> 00:14:17,840
Speaker 5: a challenging situation too, economically, but you don't have to

241
00:14:17,840 --> 00:14:20,800
Speaker 5: be the situation you're in, you could always rise above

242
00:14:20,840 --> 00:14:23,520
Speaker 5: and push through, and I just hope to be a

243
00:14:23,520 --> 00:14:25,520
Speaker 5: lot of that for the kids that I deal with.

244
00:14:29,040 --> 00:14:32,080
Speaker 2: This is the Big Take from Bloomberg News. I'm Sarah Holder.

245
00:14:32,920 --> 00:14:35,400
Speaker 2: To get more from the Big Take and unlimited access

246
00:14:35,440 --> 00:14:39,280
Speaker 2: to all of Bloomberg dot com, subscribe today at Bloomberg

247
00:14:39,280 --> 00:14:43,520
Speaker 2: dot com Slash podcast offer. Thanks for listening. We'll be

248
00:14:43,560 --> 00:14:44,200
Speaker 2: back tomorrow.