0:01

Bring me honey If

0:04

you don' see the twins . Have

0:08

fun , I

0:13

have another加-on . Make

0:17

friends , bringunna

0:22

. Why is your dressии' ? It

0:24

doesn' take too much work To

0:28

find this . Hello

0:32

Texas listeners , and welcome

0:34

to another Feisty Friday where

0:37

I go through kind of more job-related

0:40

social media and

0:42

discuss some of the advice that

0:44

I find . Today we're going to be going

0:46

through some LinkedIn posts . I'm not

0:48

going to include who they're from . I

0:50

ultimately don't want to like start

0:52

any fights or anything like that . I'm

0:55

just here to give advice from my perspective

0:57

as a software engineer who did successfully

0:59

break into industry . So first post

1:01

I want to talk about is somebody

1:04

saying engineers who are currently looking

1:06

for work or interviewing start

1:08

studying for the coding interviews now with late

1:10

code . So yes and

1:12

no . If you're applying places and

1:15

you're not having much luck , late

1:17

code isn't going to help you get

1:19

a job . So I

1:21

would say make sure that

1:23

you're prioritizing your

1:25

resume , being on point first , but

1:28

from there , starting with

1:30

a problem here or there and spreading

1:32

out . Learning and reviewing

1:35

how to do interviews is

1:37

way better than cramming

1:39

. It is a learned skill

1:41

. It is a different skill than generally writing

1:44

normal code . Interviewing

1:46

in tech is very weird

1:48

and very different , and so it is helpful

1:50

to prepare a bit . But a

1:53

lot of people who have met and interacted

1:55

with kind of wind up getting a little

1:57

carried away with preparing

2:00

for late code , before they're even

2:02

actually have a resume

2:04

who's going to get them to an interview ? And late

2:06

code isn't going to get you to the interview , so

2:09

you want to make sure that you're

2:11

getting the interview as well

2:13

, so just make sure that you're paying attention

2:15

to that . But preparing early isn't

2:17

a bad thing . So this next

2:20

one I'm going to mention because it makes me happy , it's

2:23

basically somebody saying that

2:25

they basically

2:27

take medication for depression

2:30

and ADHD and that like

2:33

that's really important and

2:35

that so many people

2:37

are really judgmental

2:40

and stigmatizing about that within

2:42

, like the workspaces . And

2:44

I definitely can feel that I personally

2:47

have anxiety and depression

2:49

and so I'm on anti anxiety meds

2:51

, I'm on anti depressants and

2:54

the thing is like , especially as a woman in

2:57

tech , that a lot of

2:59

the guys historically have said that

3:01

women have disproportionate amounts

3:03

of anxiety within tech because we're just

3:06

not cut out for this industry , whereas that's

3:09

not the cause of

3:11

anxiety for most of us . It's

3:14

often people like that or

3:16

just the fact that we're expected

3:19

to have so much in line . There's

3:21

so much that we're just

3:23

expected to like shoulder and

3:26

I didn't come from the best background

3:28

on the face of the earth and you

3:30

know what ? I'm also in weekly therapy and

3:33

if somebody tries to

3:35

belittle me for

3:37

that , at the end of the day , like I'm doing great

3:39

in life . I've

3:42

had a lot of struggles and I'm

3:44

doing great , but I do

3:46

think that it's an important conversation because

3:48

, especially people who are coming from

3:50

backgrounds of struggling with their

3:52

mental health or struggling with their

3:54

health or having disabilities and

3:56

bringing into tech like this stigma

3:59

is so profound , because the hustle

4:01

culture is generally so profound and

4:03

the thing is like I also have a no matrices

4:06

I . There's days where

4:08

man I'm in tears due to pain

4:10

and Honestly

4:14

, I'm not going to say it makes me a better

4:16

engineer , but

4:19

at the same time , it doesn't make me a worse one

4:21

. It makes me really able

4:23

to appreciate just

4:26

how hard it is to actually

4:29

be successful at what I'm doing . I

4:31

love when people are being really honest

4:34

about coming

4:36

from a different background and

4:38

having pieces of themselves

4:41

that maybe aren't as represented , because

4:43

it's so important . Okay , so

4:45

this next one that I'm going to talk about is from

4:47

a recruiter at Google and

4:49

he says Networking is a huge part of

4:51

the job search process , but the approach

4:53

to it is completely counterintuitive to what

4:55

most of us think . Here's what a mentor

4:58

shared with me recently Networking

5:00

is about being interested more

5:02

than interesting . Networking

5:04

is a long-term relationship , not a short-term

5:06

transaction . Networking is about

5:09

how much we can give versus how much we can

5:11

get . Networking is general interest

5:13

and not superficial acknowledgement . And

5:15

hey , it's a great weekend to start . Honestly

5:18

, I cannot agree more . Especially

5:22

when going to Grace Hopper and preparing for Grace

5:25

Hopper , I had started

5:27

doing advice posts for the first time

5:29

and that was kind of the first time that I really

5:31

started to see

5:34

that there's a lot of people

5:36

who think that networking is just

5:38

focused on completely about themselves

5:40

. And I like to think of

5:42

networking as kind of building work

5:45

friends , even if you don't work for the same

5:47

companies , and

5:50

maybe someday down the road

5:52

you guys will help each other great jobs . But that shouldn't

5:55

be the focus . The focus should be what can you

5:57

learn from each other , how can you grow

5:59

from each other , especially

6:02

a friendship , and so often

6:04

networking does wind up just

6:06

being a me , me , me , me . So

6:09

I'm really glad to see , especially

6:12

somebody with a title like Recruiter

6:14

at Google , where a lot of people will listen to them

6:17

saying that that's really not

6:21

the best way to go about it

6:23

. Let's

6:26

see , we have people

6:28

kind of the

6:30

general expectation

6:32

of people looking for jobs

6:34

. The job market isn't super

6:36

easy right now , but

6:39

there's also people who are actively

6:41

saying that they have jobs at their companies

6:44

. Oh no , an

6:46

Instagram , a LinkedIn influencer

6:49

my least favorite thing so many

6:51

of them say so little with

6:53

so many words . Okay , so

6:58

this person posted a video of a

7:00

two-year-old doing math . Theoretically

7:02

two-year-old I'm doubting . That child is

7:04

two . My first job was out of daycare

7:07

, so I'm decently good at

7:09

being aware of ages . Some

7:12

two-year-olds can stretch well beyond expectations

7:14

. This two-year-old is an example with his

7:17

amazing math skills . Two-year-olds

7:19

are just beginning to learn math concepts , but

7:21

they can learn a lot in a short period of time . There's

7:24

some math skills that two-year-olds can learn . Counting

7:26

Two-year-olds can learn to count

7:28

up to 10 and some may be able to be

7:32

able to count higher . One-to-one

7:34

correspondence this is an understanding that

7:36

each number corresponds to one

7:38

object . Two-year-olds can learn to match

7:40

objects to numbers and that they can learn

7:43

to count objects accurately . Sorting

7:45

and classifying Two-year-olds can learn

7:47

to sort and classify objects by size

7:49

, color , shape and other properties . So

7:52

, basically , this person is

7:55

showing a video of a two-year-old doing

7:57

multiplication , theoretically , but

7:59

then their post has nothing

8:02

to do with it . Very classic

8:04

LinkedIn , quite frankly . To

8:06

be like , oh , look at this

8:08

two-year-old doing what's beyond expectations

8:11

and then not actually talking about it . Oh

8:14

, I have an ad for

8:16

Harvard CS50

8:19

. Love it . If

8:22

you need reinforcing , I

8:24

highly recommend getting on edX

8:26

and finding Harvard CS50

8:28

. It is just one of the best classes

8:30

. Oh , somebody's talking about what

8:32

to wear in an interview . So

8:35

here's the thing it depends on

8:37

what job you're looking for and

8:40

also the company . A lot of people

8:42

are saying , oh , dress

8:44

for the job that you want , and okay

8:46

, that's a nice theory . It's not

8:48

that simple , but that's a nice theory . If

8:51

I continue that theory , though , then

8:53

I go . Well , my dream job

8:55

is to be CEO of Google or Apple

8:57

, and just in their purchase , I wear jeans

8:59

and a t-shirt . Cool , so I can wear

9:01

jeans and a t-shirt and I'm dressing for the job I want

9:03

. And the thing is that

9:05

, in tech , dressing for interviews

9:08

is generally pretty informal . So

9:13

it isn't this dress in a suit

9:15

and tie I have found

9:17

, having interviewed for tech roles out of few

9:19

finance places , that they're generally a little

9:21

more formal , but for

9:23

the most part , most of tech jeans

9:25

and a t-shirt is perfectly acceptable for

9:27

an interview . When they say dress what you're comfortable

9:30

in , actually dress what you're in and

9:32

like Amazon , when I interviewed with

9:34

them a few years ago , they told me in one of their emails

9:37

that basically my interviewer might be in a

9:39

hoodie and jeans and so , like , if

9:41

I'm comfortable in a hoodie and jeans , wear a hoodie and jeans

9:43

, and I love that . They were really , really clear

9:45

on that . They really meant it . When they said

9:47

dress in whatever was comfortable for me . But

9:50

if you're getting ready for a tech interview , also

9:53

, if you're unsure , just ask your recruiter

9:55

. They're supposed to be there to help you . A lot of recruiters

9:58

, from what I've heard , do

10:00

get paid bonuses for the number

10:02

of their recruits who get hired , and

10:04

so , while they can't necessarily

10:07

influence the hired decision , they're

10:09

not going to give you bad advice , because it doesn't

10:11

benefit them either . And

10:13

even if they don't even if they don't get a bonus

10:16

for you getting hired , they still . There's

10:18

no , there's no reason that they would , that

10:20

they would lie . There's really no purpose to

10:22

that . So I definitely say

10:24

casual is better and then

10:27

, when in doubt , ask your recruiter . In

10:29

general , west Coast is

10:31

more casual than East Coast

10:34

. So if a company is based on the West Coast

10:36

, you can guess that their definition

10:38

of like business casual is going to

10:40

be a little different . People

10:47

don't leave bad jobs . They leave because

10:49

of bad bosses , poor management , who

10:51

don't appreciate their volume . I've

10:54

seen this a lot of places . I

10:56

do think it's generally true , but

10:58

the question is what do they then define

11:00

as a bad job ? Because

11:03

I would say a bad job , a bad

11:05

boss does make your job a bad job . Poor

11:08

management does make your job a bad job . But

11:11

I think it's like witty and fun , but

11:14

simultaneously like what are

11:16

you actually saying here , which

11:18

is honestly , unfortunately , one of my

11:20

, which

11:26

is one of my big kind of things

11:28

with a lot of people I'm linked in

11:30

is that they'll give you advice , that

11:33

what are you supposed to do

11:35

with it ? So

11:38

that is

11:41

one thing is just like

11:43

ask yourself

11:45

like how do you apply advice when

11:47

you see advice online , especially

11:50

from people who say that they're experts ? So

11:54

here's another post . I've

11:56

noticed over the last few weeks that people

11:58

I admire have two things in common . They

12:01

often one say I don't know

12:03

to listen . There's

12:05

so much to learn in our jobs and really the

12:07

world for that matter , and it takes and

12:09

it makes it hard to have an informed opinion about

12:11

absolutely everything . Being

12:13

honest and humble enough to say I

12:16

don't know , but I'd love to learn more is a phrase that

12:18

opens up the conversation for everyone . It's

12:20

amazing what happens when we learn from folks around

12:23

us with more experience , more

12:25

insight and more knowledge , and

12:27

the interesting thing is that this

12:30

can actually be a strength , not a weakness

12:32

. All of a sudden , we get to learn something new

12:34

and connect with someone because we listen to them . It's

12:36

a win-win . I'm learning to use these phrases

12:38

more and more every day . I

12:41

definitely

12:43

agree . The

12:46

wisest people I know listen all

12:48

the time and are

12:50

willing to say I don't know , and

12:53

I think that it's really important to be

12:55

humble enough to say I don't know

12:57

and to be willing to learn . Simply

13:01

saying you don't know isn't good enough

13:03

in and of itself . You do need to back

13:06

it up with being willing to learn , but

13:08

it's so powerful

13:10

to not need to be the

13:12

expert all the time , and

13:15

also a lot of the time , the people

13:17

who are the quietest when they say

13:19

things . Their words are so

13:21

meaningful . I

13:24

admire them a lot . I

13:28

definitely . Just it's

13:34

such a good skill to practice saying

13:36

less and listening more . In

13:39

general . This

13:44

one's interesting how

13:47

we got my first job in machine learning

13:49

Me . Can I switch from software

13:52

engineering to ML ? My VP no , me

13:55

, why not ? Vp not

13:57

enough ? Experience Me . I have two

13:59

years . We experienced in six months of ML

14:01

courses so I can help the ML team deploy

14:03

their models . Vp

14:05

not enough . After four months

14:08

of being told no , me . So can I

14:10

switch VP sighing

14:12

maybe a three months apprenticeship Me

14:15

deal , and the rest was history . Looking

14:17

back , I was ultimately successful because

14:19

I leveraged my uniqueness . I got the job by

14:21

bringing something new to the ML team and

14:24

solving a problem they had model deployment . I

14:26

was specific , I knew what they wanted and

14:28

why I wanted it , and I made it abundantly

14:31

clear . I never let my

14:33

intensity waiver , even when I was

14:35

feeling rejected and hopeless . I never let it show

14:37

. I made it clear that I was never going to stop trying

14:39

. So I

14:43

in general think

14:46

that this is pretty helpful . I

14:48

would say that I

14:51

think that to a certain degree , like if

14:53

you're interested in something kind

14:55

of more niche like

14:57

machine learning . It's helpful to also figure

15:00

out how your company feels about

15:02

people moving into those shops , because

15:05

every company has their own culture and

15:07

there's pros and cons

15:09

to that , and

15:13

so at this person it

15:15

sounds like they were at a company

15:18

that was pretty strong

15:21

in people staying in their lanes kind

15:23

of mentality , whereas I

15:26

work at Boeing and Boeing

15:29

does not feel that way . Boeing

15:31

is very much a come and learn kind

15:33

of mentality , and

15:39

so my manager one

15:41

day came in to a conference room

15:43

and said who wants to learn

15:45

some machine learning work ? We have a

15:47

machine learning team who needs some help and

15:50

three of us with minimal background . I

15:53

have the most background of the three of us , which isn't

15:55

much . Three

15:58

of us with minimal background said , sure , I'm willing

16:00

to learn , and so we got transferred

16:02

largely to working on machine

16:04

learning , and so

16:06

one thing that I would say is helpful

16:09

as well is if you're really passionate about

16:11

something , I

16:13

don't necessarily think that

16:15

if your company continues

16:17

to tell you no for months on end , I

16:20

consider looking elsewhere

16:22

and seeing if somebody else

16:25

will give you that opportunity , because

16:27

you have to watch out for your own career . I

16:30

definitely think that that

16:33

is true in this post that

16:35

this person did look out for their own career but

16:38

like , at what point would enough have

16:40

been enough ? Were they comfortable

16:42

staying a sweeper effort if they continue to get told no

16:44

, because the

16:46

reality is that was a non-zero

16:48

possibility . Four

16:50

months of being told no is a decently

16:53

long period of time for somebody to stick with

16:55

that , and so

16:57

my one piece of advice would

16:59

just be make sure that you're watching out for yourself

17:02

on that front . But

17:04

being persistent is super helpful . I

17:08

definitely think that leveraging

17:10

your uniqueness is super important to breaking

17:12

into especially niche roles . I

17:15

personally , in general

17:17

at this point there's a lot of

17:20

new grads in computer science

17:22

or software engineering , and so

17:25

being unique somehow is super , super

17:27

helpful . So I

17:29

, for instance , will

17:31

kind of focus in on the fact of

17:33

I am

17:36

really good at cybersecurity

17:38

and software and decently good at

17:40

machine learning at this point , and

17:42

what I won't tell companies is I

17:44

know that I'm not the best software

17:46

engineer they're going to hire . I'm also not the best

17:48

at security , and I'm surely

17:51

not the best at machine learning , but

17:53

if you need somebody with overlap

17:55

, I'm

17:58

probably one of the best people

18:00

for my price tag in

18:03

all three . And so

18:05

knowing that , knowing

18:07

what makes you unique and looking for how

18:09

you can leverage that for the company is really , really

18:11

helpful . And

18:14

, yeah , never letting your intensity waiver

18:17

. Like I said , I don't

18:19

know if I would have like stuck around

18:21

to be told you know no

18:23

, for four months , but I do think that

18:25

you do have

18:27

to have real commitment to it , like

18:30

if you say that you want something

18:32

, you're the one who has to

18:34

be the one who makes your career what it is . You

18:37

have to decide that path and then

18:39

you have to make sure that you're getting what you need

18:41

. But in general , I

18:43

do really like that . Goodness

18:48

, so many , so

18:52

many company advertisements . Yeah

18:59

, this is a . This is a good one . Basically

19:02

, this person posted about

19:05

how a job was listed as being

19:07

remote , but they

19:10

must reside

19:13

in the area of the office

19:15

and they will be required to come into office

19:17

on an as needed basis , and

19:20

basically that people

19:23

who

19:26

are searching for remote jobs . This is listed

19:28

as a remote job when in reality

19:30

, the text of the job does not qualify

19:32

as a remote job . It doesn't matter

19:34

if you can be at home most

19:36

of the time , if you need to live

19:40

close enough to come on an as needed

19:42

basis . I would qualify that as a hybrid

19:44

job and I completely agree with that

19:46

, and I also think that , like you

19:49

know , to

19:52

say that I must reside in the

19:54

area of the city that

19:56

the shop is in , like that's , how

20:02

close to that city do you want me to reside

20:04

in ? So

20:07

you know those . Those are those

20:10

are the things that I definitely can

20:12

agree with us

20:15

not the right move

20:17

. If you're a recruiter , it's better to

20:19

be upfront with people than

20:22

to kind of

20:24

make

20:27

it seem like a

20:29

job is different than what it is

20:31

. Just be honest . I'm

20:36

just gonna include a shout out Lee

20:40

McKermon McKieman . God

20:42

, I am so sorry . I'm super

20:44

dyslexic . I cannot read to save my life

20:47

Most of the time . He is one of my favorite

20:49

people on LinkedIn . He

20:51

has no idea who who I

20:53

am , but I follow him . He's

20:56

a staff software engineer at Google and he's

20:58

one of the people who just like talks

21:01

about what it's like to have

21:04

some of the experiences that he's had and I and I love it . I

21:08

he's just scrolling

21:10

through seeing some of his posts . I just I love it , um

21:12

, I love it , um

21:14

. So

21:17

, going back to what I was doing

21:19

? Um , this person posted

21:22

99% of LinkedIn profiles

21:24

. I see , don't clearly show me who you are

21:26

, where you came from , how you got there . Too much

21:28

showing off , not enough human . So

21:31

here's the thing on LinkedIn Companies

21:35

are on there . Um , I

21:37

am not going to be 100% human

21:39

when a company potentially is going

21:41

to see it when it's right One

21:44

of the things that I'm literally including in my job applications , quite

21:46

frankly , um

21:48

, that's asking for a level of vulnerability

21:51

that just , unfortunately , isn't likely going to occur , because it's

21:53

really high risk . If

21:57

it's not high risk , it at least feels high

21:59

risk , because most of us don't have insight

22:01

into what recruiting actually looks like . So

22:04

I don't know how deep

22:06

into my LinkedIn posts in comments Somebody's going if

22:08

I include my LinkedIn on my application . Um , so I

22:10

I definitely think that some people aren't being

22:13

human at all and I think

22:17

that that's important , but I just think that's important

22:19

, but

22:23

I definitely don't think that we're

22:26

all going to show who we are completely as a as a person . Um

22:32

, oof

22:36

, another one of these . Um

22:38

, beware of suspicious job offers

22:40

on LinkedIn . Um

22:43

, I recently received a message

22:45

that left me both concerned and skeptical , and

22:47

I felt the need to share it with all of you . I received

22:49

an unsolicited job offer that seemed too

22:51

good to be true . The message was well-crafted

22:53

and appeared to be from an individual claiming

22:56

to be a professional in the field of instructor design

22:58

in art collections and a fundraising

23:00

influence for reputable charity

23:02

organizations . The offer included

23:05

descriptions of a personal assistant role , flexible

23:07

hours and a seemingly generous salary . It

23:09

also mentioned receiving payments through certified bank

23:11

checks , which raised the red flag

23:14

. Let me break it down . One , the job

23:16

offer came without came out

23:18

of the blue , without any prior contact

23:20

. Two , the promise of high pay for minimal

23:22

work seemed unrealistic . Three

23:24

, the method of payment through certified bank

23:27

checks is unusual . Four , there

23:29

were noticeable grammatical errors in the message

23:31

, which is often the sign of a scam . Five

23:33

, be aware of reshipping scams . If a job

23:35

involves receiving and forwarding packages , maybe

23:38

part of a reshipping scam and you

23:40

could unknowingly become involved in illegal

23:42

activities . This kind of message

23:44

set off alarm bells and we need to be more cautious

23:47

about such offers . They could be

23:49

potential scams or phishing attempts to steal personal information

23:51

or money . Have you ever received similar

23:54

messages ? If so , please share your experience

23:56

. It's essential to maintain a vigilant and ethical

23:58

presence on LinkedIn , where many professionals

24:01

connect and build their careers , just look

24:03

out for one another and question the

24:05

ethics behind such offers . Remember

24:07

, if something seems too good to be true , it probably

24:10

is . Always verify the legitimacy

24:12

of every job offer , especially when

24:14

it arrives unexpectedly . So

24:16

, unfortunately , one

24:19

of the things that I have seen an increased

24:21

in courtesy of

24:23

the job market kind of being bad is

24:26

people creating

24:28

fake job scams . So

24:32

this one's a little bit more

24:34

obvious than a lot of the ones

24:36

that I've read about . But I've

24:39

read people , seemingly

24:42

from legit companies that

24:44

do exist in the tech space

24:46

, reach out to them , do phone

24:49

interviews , do

24:51

make it seem similar , legit

24:53

, and then basically

24:56

they realized that it was a scam when they had a

24:58

company ask them to pay for shipping for

25:00

their work laptop and

25:02

no reputable company would ever do

25:04

that . But

25:07

it's definitely important to be super , super

25:09

cautious about any

25:12

job communications that you're having , especially

25:15

on LinkedIn these days , because a lot

25:17

of people are scamming on LinkedIn

25:19

because unfortunately , when people are desperate

25:22

, they're paying less attention to , kind of

25:24

some of those red flags . So you

25:26

want to be super cautious of

25:28

anything that kind of feels off

25:30

. When in doubt , try and

25:32

reach out to a recruiter from that company that

25:34

you know is actually at that company . One

25:37

of the things on LinkedIn that you can do now

25:39

is you can actually verify

25:41

your workplace , and

25:43

I imagine that a lot of recruiters have verified

25:45

their workplaces and so you can find

25:48

a recruiter and most

25:50

would be happy to help look

25:52

up if you're actually in the interviewing pipeline

25:55

and have the ability to see that . But

25:58

definitely like if

26:01

something's too good to be true , it unfortunately

26:03

is usually not real . Let's

26:06

see . Oh

26:10

, I like this one . I've been a

26:12

data scientist for almost seven years but

26:14

I still Google pandas and NumPy functions

26:16

several times a day . Why remembering

26:18

intricate functions is helpful , but

26:20

if they were applied 0.1% of your

26:23

workflow , they're not worth retaining . Time

26:25

is better spent in understanding practical techniques

26:27

like data cleaning , feature selection

26:29

, feature engineering , modeling and evaluation

26:31

. So the takeaway don't overly

26:33

optimize your skills . Think about the big picture

26:36

of what you are aiming to achieve with

26:38

data science and invest in growing the skills

26:40

that are worth it . So very

26:43

much so . One of the things that

26:45

people don't get and

26:47

feel really insecure about is that they don't feel

26:49

like they can solve 100% of problems without

26:52

Googling them , and the thing is

26:54

that , as a software engineer , we do that

26:56

all the time and

27:00

the key is just to make sure that you know

27:02

how to break down the problems , that you

27:04

know the skills that you can't just type

27:07

into a Google search and get an answer

27:09

for , but

27:11

the actual functions

27:13

, the actual . That's

27:16

not that helpful

27:18

to have 100% . So definitely

27:21

don't stress out about

27:23

not remembering 110%

27:25

of syntax , because most of us

27:27

do not . So

27:32

I have one post that I

27:34

think captures , unfortunately , what a lot

27:36

of people feel right now within the

27:38

tech industry , and

27:40

this person writes I have never seen a job

27:43

market this difficult . I have done more interviews

27:45

than I can even count over the last several months

27:47

. I've seen posts here from

27:49

people who have been out of work for almost a

27:51

year now that were in my field . So

27:54

I know some very smart individuals

27:56

who are out of work right now and it is confusing

27:58

why they have not been picked up yet . I hope things

28:00

turn around for all of us . I don't like seeing

28:03

this many people out of work . So , first of all

28:05

, none of us like seeing this

28:07

many people out of work . It's really hard to be

28:09

on LinkedIn and see so many people who

28:11

have been laid off , who don't have

28:13

a job , things like that . That's really hard

28:15

emotionally to see and

28:18

that is nothing in comparison to all

28:20

the people actually experiencing that , and

28:22

my heart's go out to them . One thing

28:24

that I do think is really important is

28:27

to make sure that it's

28:29

easy to kind of get

28:31

caught up in just applying , applying

28:34

, applying , applying , applying because you

28:36

feel like you're doing something , you feel like you're potentially

28:39

going to make progress . But

28:41

if you're not making progress , change

28:43

tactics because clearly

28:45

, applying , applying , applying , applying isn't

28:47

working .