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I wanted to give you a real update. I talk openly about the struggles, lessons, and decisions happening behind the scenes and where I want to take the podcast next. If you have been listening for a while, this one is for you.
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⌚ TIMESTAMPS
01:39 - Moving to Spain and recording challenges
04:11 - Being a dad and my ADHD diagnosis
07:39 - Hiring disasters and production struggles
14:18 - The thumbnail problem: negativity gets more views
20:21 - What's next for the podcast and YouTube
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Transcripts
Hey guys, it's Avery.
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I owe you guys an honest update.
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00:00:03,530 --> 00:00:06,229
So in this episode, I'm gonna talk
about some of the setbacks I've been
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00:00:06,229 --> 00:00:10,700
facing, some of the solutions I've
found, and what's coming next for
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me and my life, and for this podcast
and this YouTube channel in general.
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Uh, but first, this is
actually my 200th episode.
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Of doing the Data Career podcast
and posting it on YouTube as well.
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So, woo hoo party.
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Um, I started this podcast in April
of 2021, so we're almost coming up
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on five years of doing the podcast.
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I did take like an eight month hiatus.
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We can talk about that
later, but it's crazy.
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I never really thought that.
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I'd be doing this for five years.
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When I started the podcast, I just did
it because I quit my corporate job and I
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loved podcasts and I loved data obviously.
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And so I wanna talk about data with
other people and have more cool data
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podcasts, and it's crazy to see where
it's grown over the last five years.
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I mean, we have 62,000 subscribers
on YouTube, the podcast.
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Um, I wrote, I wrote down some notes.
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I hope that's okay if I read those.
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Uh, the podcast has 610
reviews on Spotify at 4.9
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stars.
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It has 162 reviews on
Apple Podcasts at 5.0
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Stars.
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So like, that's absolutely crazy.
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Um, we've shared some pretty cool
interviews, some pretty cool podcasts
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or success stories of students who've
gone through my program and pivoted
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from, you know, whatever career they
had beforehand into data analytics,
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which was super cool and I've learned
a lot through the podcast, uh, as well.
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Um, okay.
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Now to the update, I wanna
give you a life update.
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So the first thing is, if you're
watching on YouTube, you obviously can
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tell I am not in my usual home studio.
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Um, and you've probably noticed for
the last few videos I haven't been, and
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the reason is, is I actually moved to
Spain for the first quarter of 2026 and.
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That's been really cool.
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It's had a lot of ups and downs.
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Um, one of the downs is I'm living
in the coast Adel soul, which is
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the like sunny coast basically.
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Um, and it hasn't been sunny at all.
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I like left my jacket on
just so I could show you.
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And I tried to like show you
guys these windows just to see,
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it's like constantly raining.
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Um, which has just had its challenges
because, uh, I'm here with my wife and.
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My two kids.
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Um, that's something that's changed
since I started the podcast.
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I've had two kids in the last two
years, so they're both really young and
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close in age, which is a huge blessing,
but obviously just makes everything
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more complicated and we're staying
in kind of like a small apartment.
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Uh, there's no place for me to record
these types of episodes at home.
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And so I go to this coworking space.
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And in this coworking space,
there's usually people working here.
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So doing an episode that kind of
looks like this isn't really feasible.
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So I've been recording, let me show you.
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I've been recording in like
these booths over there.
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Um, and they're just, they're
just not very big, you know?
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Um, they're just not very big.
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00:03:03,995 --> 00:03:07,445
So I feel like the video
quality has been a little.
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Uh, interesting lately 'cause I've
just been in these like tiny booths
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and I've been shooting on my iPhone.
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Um, and I just like learned
some of the settings today that
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allows me to do like this 0.5,
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like more of a full frame video,
which I was like, I wish I knew that
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when I was shooting in the booths.
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'cause those booths are tiny.
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And also I finally figured
out how to disable.
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Like if I do a thumbs up, the
iPhone doesn't like, put the
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thumbs up emoji on the video.
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And I had some balloons in
I think last week's video.
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So, uh, I'm learning all this as I go.
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I'm not obviously like.
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I don't have my nicer
camera and my nicer mic.
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I'm using these mics and
they just don't work.
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Right.
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So, um, that's why if
you're like, where is he at?
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I'm in Spain.
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Um, by the time you guys watch this,
I'll be headed home pretty soon.
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So, um, future videos will not have
me in Spain, but, uh, the videos
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you're seeing right now, I'm in
Spain, which has been awesome.
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It's been really cool to just
like get out of the US experience
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different culture, work on my Spanish.
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Um, live by a beach.
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Uh, it's been, it's been really cool, but
obviously it's had had some challenges
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for producing this, this type of content.
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Um, some other big updates in my life.
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Like I said earlier, I have two kids now.
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I'm a dad and that has become
my first and foremost job.
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Uh, I used to be a data analyst
and then I was a data scientist.
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Uh, and then I quit that
job and I was a CEO and.
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Uh, a founder and a
teacher and a podcast host.
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Um, but now the number one
role in my life is father.
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And that takes a lot of time.
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Those of you that, that have
kids know what I'm talking about.
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I swear.
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Just like putting my kids to sleep
right now takes me two hours.
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Um, and then I spend like probably
an hour, an hour and a half with the
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younger kid in the mornings before
my oldest and my wife wake up.
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So it's just like three and
a half hours is just like.
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My kids.
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My kids, getting my kids to sleep
or getting them up in the morning.
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So obviously all you parents
know, it's just a lot of time.
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So my time has gone really
down in the last two years just
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because I'm focusing on my number
one role, which is being a dad.
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Um, and another life update that
I've been, I don't know why.
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I've been like procrastinating doing this
and I've been like not embarrassed to
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share 'cause I'm not embarrassed about it.
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But I've been like waiting for
the right moment and I just.
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Don't feel like there is a right moment.
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So this feels as good a time as any,
um, that's been a pretty big adjustment
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I'd say to my life is last year, about
a year ago, I was diagnosed with a DHD.
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Um, which is so funny because I never
in my life thought I'd have a DH
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ADHD or I thought I did have a DHD.
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Um, but just after a bunch of like
tests and therapy, it's like, oh yeah.
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Um, maybe I do have DH adhd.
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It took me about, uh, about eight
months after I was diagnosed to
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actually like, start to believe it
and, uh, actually get medicated.
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So, uh, I've been doing
medication for like the last,
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let's see, about five months now.
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And it's been really life changing.
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Um.
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I like, feel like I can actually
think and focus a little bit more.
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Um, and so I'm still like
figuring all that out and figuring
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out how to stay organized.
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'cause I'm just not organized.
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I'm not an organized person.
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Um, I don't schedule things well
anyway, so this diagnosis of a DH ADHD
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has helped me understand myself better
and understand the world around me a
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little bit better, and also given me the
opportunity to get Medicaid, which has
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given me some focus, some focus time.
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But that being said, I'm still like
a really hot mess in terms of my
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organization and thinking and, um, it's
just something I'm working through.
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Um, for those of you who.
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You know, maybe don't have a DHD or don't
really know anyone with a DH adhd, you're
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probably like, what is he talking about?
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And if you have a DH ADHD or you're,
you know, you live with someone who
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has a DHD, you're like, I feel you.
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I know exactly what you're saying.
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Uh, but that's just been a big change in
my life, uh, with the kids with A DHD.
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Um, and then also I've been, I've been
trying to do more things other than the
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podcast, obviously the YouTube videos.
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Um, we've been running the accelerator,
all these cohorts of the accelerator,
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which takes time and effort, which is
the data analyst bootcamp that I run.
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And I also rolled out my
own job board last year.
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My own little data, junior
data analyst, AI companion.
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Last year we started taking the
newsletter a lot more serious last year.
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Um, we try, we redid all of interview
simulator from scratch last year.
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So it's just been, my mind's been
in like a hundred different places
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and my time's gone down and I'm
disorganized and I have a DHD.
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So, um, I tried to hire the last
year or so to try to get some help.
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And I found some really awesome people,
um, to help me and I've also found some
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really not awesome people, uh, to help me.
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Let, let me explain that here.
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Lemme make sure I'm not missing anything.
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Yeah.
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Um, so if you're a part of the
accelerator, you know, I have Trevor
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and Cynthia who are two of the mentors
in the program that you see a lot.
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And we have Isaac, our community
manager, and they've been awesome.
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And they're really great in helping
me in helping all the students
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inside the accelerator program.
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Um, but you probably don't see any
of the people behind the scenes.
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So for example, I hired a podcast
producer to like, help, um, with like
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show notes and just help publish things
and coordinate guests and all that stuff.
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And, um, I had a, a decent
one for a few months.
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Anyways.
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I found this producer, um, let's just say.
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They basically stole money from me.
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Uh, then I hired a different
producer after them, and that
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producer was signed everything and
then just never showed up to work.
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And so that was just like eight weeks
of my life of the podcast life that
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was just like really hectic because
I was basically doing everything, uh,
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while they weren't doing the work.
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Um, so that was a really
big, uh, loss for me.
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Um, just mostly time,
to be perfectly honest.
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Like mostly time.
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It was just.
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Exhausting.
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Trying to train them on everything
and then to have them basically
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screw me over was not super fun.
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Um, so anyways, I've been trying to, to
hire and that's been some of the issues.
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Um, hopefully by the time this video
comes out, we're in a little bit more of
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a stable situation with the, uh, podcast
producer, and it makes this process
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of actually getting these podcasts out
to you on time and everything, right?
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Like some of you guys have noticed that
some of the timestamps have been off,
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um, or links have been missing or those
different things, and it's just kind
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of, because I'm trying to figure out
how to get some help in that process.
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With that.
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Um, this is the honest update
about like the podcast and the
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YouTube channel in particular.
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Now, that was kind of my life update and
a little bit of a company update, I guess.
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But in terms of the life update,
I wanna tell you guys, uh, a
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little bit about the, the podcast.
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So like I said, you guys are awesome.
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Like, thank you.
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I cannot thank you guys enough
for listening, downloading,
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sharing with friends.
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Putting comments, writing a review,
whatever, like, thank you guys.
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00:10:03,064 --> 00:10:03,965
Like from my bottom of my heart.
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It's so crazy.
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00:10:05,405 --> 00:10:11,615
Um, the amount of people that, uh,
listen to me yap about data and, and
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careers and, um, I don't want to,
I'll always be grateful for that,
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um, even if I don't say it enough.
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So thank you.
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I, I really appreciate it.
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Um.
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The podcast, you know, we've
grown the podcast to one of the
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top data podcasts that there is.
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Um, there's only like, basically we're
in the top five any way you look at it.
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Um, but I got to a point where we
were getting 20,000 downloads a month.
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So that's like if I release four
episodes, you know, one a week for.
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Weeks and a month about, um, the episodes
are getting about 5,000 downloads,
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uh, a week, uh, for per episode.
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But I, we were stuck there for like
eight months and I was like, how
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the heck do you grow a podcast?
215
00:10:52,310 --> 00:10:53,990
It's podcasts are so interesting because.
216
00:10:55,340 --> 00:10:58,040
There's not really like an
algorithm necessarily, right?
217
00:10:58,070 --> 00:11:01,370
So it's not like you can just go
viral with one episode and then, you
218
00:11:01,370 --> 00:11:02,900
know, you gain all these listeners.
219
00:11:03,380 --> 00:11:05,000
Uh, it's really hard to grow a podcast.
220
00:11:05,000 --> 00:11:07,280
And so, um, I really believe in education.
221
00:11:07,610 --> 00:11:14,240
Um, I've been able to, uh, like increase
my income a lot through education.
222
00:11:14,660 --> 00:11:17,540
Um, and so I actually ended up
joining this program, it's called
223
00:11:17,540 --> 00:11:21,350
Podcasting, like a YouTuber, um,
from this guy named Jay Klaus.
224
00:11:21,410 --> 00:11:22,189
And basically.
225
00:11:22,880 --> 00:11:26,810
It's all about how YouTube's really
important for podcasts now, and
226
00:11:26,810 --> 00:11:30,095
actually at the time, I had basically
moved all of my podcast listening.
227
00:11:30,740 --> 00:11:33,110
From Spotify to YouTube.
228
00:11:33,140 --> 00:11:35,240
And one of the big reasons
why is I have YouTube premium.
229
00:11:35,240 --> 00:11:37,070
And so there's like basically less ads.
230
00:11:37,430 --> 00:11:40,460
Um, there would be on Spotify
and there's video and who doesn't
231
00:11:40,460 --> 00:11:41,780
like to watch sometimes, right?
232
00:11:42,380 --> 00:11:45,620
Um, and so I was like, oh, okay, I need
to start taking YouTube more seriously.
233
00:11:45,620 --> 00:11:48,320
And so I started learning about, you
know, how to actually create a good
234
00:11:48,320 --> 00:11:51,890
video podcast and how to do YouTube
titles and YouTube thumbnails.
235
00:11:51,890 --> 00:11:52,680
And we tried to.
236
00:11:52,870 --> 00:11:56,740
You know, blend, uh, more,
a little bit more YouTube.
237
00:11:56,770 --> 00:12:00,040
'cause before we were a podcast,
we did audio episodes that
238
00:12:00,040 --> 00:12:01,960
happened to go onto YouTube.
239
00:12:01,990 --> 00:12:03,460
Just a second happened.
240
00:12:03,460 --> 00:12:06,610
And if, if you're on YouTube, you can
go scroll, scroll through, I don't
241
00:12:06,610 --> 00:12:09,460
know, basically stuff that's like a year
and a half old, maybe two years old.
242
00:12:09,580 --> 00:12:12,910
And you'll see, oh, like he didn't
really, you know, consider titles and
243
00:12:12,910 --> 00:12:14,050
didn't really consider thumbnails.
244
00:12:14,050 --> 00:12:16,660
And the video quality is
just kinda an afterthought.
245
00:12:17,410 --> 00:12:20,650
Uh, but I started to really like
double down on just video quality
246
00:12:20,650 --> 00:12:22,330
and good thumbnails and good titles.
247
00:12:22,685 --> 00:12:26,254
And kind of become YouTube
first, who happens to just
248
00:12:26,254 --> 00:12:28,805
also post on a podcast as well.
249
00:12:29,464 --> 00:12:34,025
And that's been really cool because
we've had so many more people listening.
250
00:12:34,025 --> 00:12:38,555
Like we have one episode on
YouTube that has over 500,000,
251
00:12:38,555 --> 00:12:40,535
has half a million views.
252
00:12:40,925 --> 00:12:44,734
Um, and it took me so long to get to
the point of my podcast where we even
253
00:12:44,734 --> 00:12:47,134
had half a million downloads in total.
254
00:12:47,134 --> 00:12:51,905
So we reached like a whole new audience,
had a lot of success on YouTube, uh, like.
255
00:12:52,295 --> 00:12:54,935
Quadrupled our subscribers
in a few months.
256
00:12:55,444 --> 00:12:58,624
Um, and that was, that was cool
because we were reaching new audience.
257
00:12:59,344 --> 00:13:02,644
My message was getting to, to
new people about, you know, you
258
00:13:02,644 --> 00:13:04,415
don't have to have a degree.
259
00:13:04,415 --> 00:13:06,394
You don't, you're not too
old, you're not too dumb.
260
00:13:06,394 --> 00:13:07,415
This isn't too hard.
261
00:13:07,864 --> 00:13:09,785
The SPN method is the way to go.
262
00:13:09,785 --> 00:13:12,124
You need more than skills
to land your first data job.
263
00:13:12,545 --> 00:13:16,805
You know, start with like the
easy low hanging fruit skills
264
00:13:16,805 --> 00:13:19,384
like SQL and Excel and Tableau.
265
00:13:20,449 --> 00:13:23,209
My message was reaching a whole
new audience and a lot more people.
266
00:13:23,780 --> 00:13:28,430
But at the same time, I almost feel
like I was ignoring all of you loyal
267
00:13:28,939 --> 00:13:33,979
podcast listeners because these viewers
on YouTube, they're great, and if you're
268
00:13:33,979 --> 00:13:35,300
one of them, thank you for watching.
269
00:13:35,719 --> 00:13:37,550
But they're not loyal necessarily.
270
00:13:37,550 --> 00:13:39,260
Like you podcast listeners.
271
00:13:39,290 --> 00:13:42,469
The podcast listeners, listen
every week, the YouTube people,
272
00:13:42,499 --> 00:13:44,900
they come and they go, um.
273
00:13:45,485 --> 00:13:46,715
So that's just like a hard balance.
274
00:13:46,715 --> 00:13:49,955
It's like, I wanna be loyal to the
podcast listeners, but I also realize
275
00:13:49,955 --> 00:13:52,805
that my message goes further on YouTube.
276
00:13:53,315 --> 00:13:54,695
So that's something I'm trying to balance.
277
00:13:54,785 --> 00:13:59,495
And, and also on YouTube, it's really easy
to, like, if you want a lot of views to
278
00:13:59,495 --> 00:14:07,055
create content that maybe doesn't, it's
not necessarily what people actually need.
279
00:14:07,535 --> 00:14:09,335
The stuff that that goes viral.
280
00:14:09,995 --> 00:14:13,444
It goes viral, but it's not necessarily
like, it's like, it's like candy.
281
00:14:13,475 --> 00:14:16,235
It's like, oh, it's good, but it's like,
this isn't what's going to make you grow
282
00:14:16,235 --> 00:14:18,635
into a strong data analyst necessarily.
283
00:14:18,905 --> 00:14:22,625
There's some stuff that I think that that
overlaps, but this is something I've just
284
00:14:22,625 --> 00:14:26,675
been struggling with, um, and I've also
been struggling with like thumbnails.
285
00:14:26,920 --> 00:14:33,100
Um, because like for example, I
created, uh, a YouTube episode a while
286
00:14:33,100 --> 00:14:34,810
ago, and I, I have it pulled up here.
287
00:14:34,810 --> 00:14:35,560
What's it called?
288
00:14:36,280 --> 00:14:39,850
It is called, I mean, it was a podcast
episode too, but it's called My Honest
289
00:14:39,850 --> 00:14:42,820
Thoughts on the Data Job Market in
2026, and I thought it was a really
290
00:14:42,820 --> 00:14:47,830
good video because it like talks about
just actual data, what's going on.
291
00:14:48,370 --> 00:14:53,230
And the spoiler alert, the conclusion
is we've been pretty stagnant.
292
00:14:53,260 --> 00:14:55,600
Things haven't gotten worse,
but they haven't gotten better.
293
00:14:55,985 --> 00:14:59,074
My whole picture is, I actually
think they'll probably get a little
294
00:14:59,074 --> 00:15:00,635
bit better this year, but not a ton.
295
00:15:01,115 --> 00:15:04,925
Um, data engineering's up quite a bit over
the last few years, and it was just like
296
00:15:04,985 --> 00:15:09,185
raw, like, Hey, I don't think things are
terrible, like everyone says they are,
297
00:15:09,425 --> 00:15:10,865
but I'm also not gonna say it's amazing.
298
00:15:10,865 --> 00:15:14,255
I think it's like, on a scale
of one to 10, it's like a seven.
299
00:15:14,645 --> 00:15:16,265
I still am, I'm, I'm optimistic.
300
00:15:17,015 --> 00:15:19,295
Things could be better, but
things could be a lot worse.
301
00:15:19,295 --> 00:15:21,785
And they're not as bad as most
people are making it seem.
302
00:15:22,564 --> 00:15:24,339
And during this process,
I made a thumbnail.
303
00:15:24,920 --> 00:15:29,989
Um, that, that said quit data that
said quit data while you still can.
304
00:15:30,709 --> 00:15:32,060
And I don't believe you should quit data.
305
00:15:32,269 --> 00:15:34,910
Um, if you're trying to transition
analytics, I think you should keep going.
306
00:15:34,939 --> 00:15:36,170
There's no reason to panic.
307
00:15:36,499 --> 00:15:37,729
Um, I'm not panicking.
308
00:15:38,119 --> 00:15:42,499
Um, but I made this thumbnail
and I wasn't super proud of it
309
00:15:42,499 --> 00:15:43,219
'cause it felt a little clickbait.
310
00:15:44,224 --> 00:15:46,264
Um, because I don't actually believe that.
311
00:15:46,264 --> 00:15:46,564
Right.
312
00:15:47,104 --> 00:15:49,474
But the interesting thing is, as
I actually did an AB test, 'cause
313
00:15:49,474 --> 00:15:50,675
it's like, what does the data say?
314
00:15:50,675 --> 00:15:51,035
Right?
315
00:15:51,454 --> 00:15:54,274
Um, and I'm gonna just try to
show you this, uh, this data
316
00:15:54,274 --> 00:15:56,464
right here, uh, with my laptop.
317
00:15:56,464 --> 00:15:58,444
If you can see it,
hopefully you can see it.
318
00:15:58,744 --> 00:15:59,165
Ready.
319
00:15:59,854 --> 00:16:06,574
So if you can't see it, basically what
it shows you is the thumbnail got 44%.
320
00:16:06,634 --> 00:16:08,134
The thumbnail that IAB tested here.
321
00:16:08,675 --> 00:16:12,064
That says, quit data while you
still can got 44% of the watch time.
322
00:16:12,755 --> 00:16:16,325
I put a question mark at a
quit data question mark while
323
00:16:16,325 --> 00:16:18,005
you still can question mark.
324
00:16:18,455 --> 00:16:20,675
And the watch time dropped to 20%.
325
00:16:21,875 --> 00:16:26,165
Basically 20% more people
actually consumed the content.
326
00:16:27,380 --> 00:16:29,000
When I was like very negative.
327
00:16:29,030 --> 00:16:31,310
And YouTube, they just love negativity.
328
00:16:31,310 --> 00:16:32,689
And I am not negative.
329
00:16:32,780 --> 00:16:33,800
I'm not a negative person.
330
00:16:34,430 --> 00:16:36,469
I'm not pessimistic about the job market.
331
00:16:36,469 --> 00:16:39,140
I'm optimistic about the job
market and data in the future.
332
00:16:39,590 --> 00:16:43,430
And that's just hard for me
because it's like my message of
333
00:16:43,430 --> 00:16:49,670
positivity reaches more people with
a negative thumbnail, 20% more.
334
00:16:49,670 --> 00:16:51,260
Like that's literally
the proof in my opinion.
335
00:16:51,680 --> 00:16:53,989
Um, and I've tested this on a
bunch of different thumbnails.
336
00:16:54,620 --> 00:16:56,480
But like, how do I feel about that?
337
00:16:56,750 --> 00:16:58,970
Um, because some people only
see the thumbnails, right?
338
00:16:59,120 --> 00:17:01,970
Some people only see the thumbnails
and they think that I'm saying to quit
339
00:17:01,970 --> 00:17:03,740
data, and I'm not saying to do that.
340
00:17:03,740 --> 00:17:06,319
So it's just been one of those
struggles, like YouTube has all
341
00:17:06,319 --> 00:17:10,400
these extra complexities with like
YouTubes and titles and algorithms.
342
00:17:10,460 --> 00:17:11,510
Um, and it's a blessing.
343
00:17:11,510 --> 00:17:15,740
It's awesome, but it's also, it's also
a little bit overwhelming and, uh,
344
00:17:15,770 --> 00:17:17,359
a bit, a bit challenging sometimes.
345
00:17:17,359 --> 00:17:22,700
So, um, yeah, and that's another thing
I need to talk about is like, let's talk
346
00:17:22,700 --> 00:17:24,230
about the elephant in the room, which is.
347
00:17:24,618 --> 00:17:26,930
Uh, ai, um.
348
00:17:27,454 --> 00:17:30,125
AI's here, like the last week.
349
00:17:30,125 --> 00:17:32,225
I'm recording this in like early February.
350
00:17:32,705 --> 00:17:36,364
Uh, I think a trillion dollars
of like the US GDP got wiped out.
351
00:17:36,425 --> 00:17:41,525
Um, or like stocks, value capital
because Claude released 4.6
352
00:17:41,525 --> 00:17:44,735
and like these Claude plugins and
capabilities and things like that.
353
00:17:45,215 --> 00:17:48,784
Like for example, um, FIG or Adobe,
I think stock went down quite a bit.
354
00:17:49,605 --> 00:17:52,845
Because they, like Claude released,
like this Figma connector thing.
355
00:17:53,235 --> 00:17:56,715
Um, I haven't used the, the Figma
one from Adobe, but I used it
356
00:17:56,715 --> 00:17:58,695
for Canva, which is very similar.
357
00:17:58,725 --> 00:17:59,325
It sucks.
358
00:17:59,325 --> 00:17:59,985
It's terrible.
359
00:18:00,045 --> 00:18:00,795
You can't make anything.
360
00:18:00,975 --> 00:18:01,605
It's trash.
361
00:18:02,085 --> 00:18:03,525
But like their stock dropped a ton.
362
00:18:04,335 --> 00:18:08,415
So obviously AI's here, like, like
a trillion dollars worth of money
363
00:18:08,415 --> 00:18:12,855
was lost because everyone thinks
AI is replacing software and all
364
00:18:12,855 --> 00:18:14,325
these human workers and everything.
365
00:18:14,745 --> 00:18:15,075
Um.
366
00:18:15,995 --> 00:18:16,835
I don't think it's there.
367
00:18:16,895 --> 00:18:17,735
I don't think it's there yet.
368
00:18:18,094 --> 00:18:20,375
Uh, and I don't think it's, I
don't think it's going to be there.
369
00:18:20,404 --> 00:18:24,094
Like we're to the point where it's like
replacing software and all of us, and
370
00:18:24,094 --> 00:18:28,324
I have like this really back and forth
between like, do I make more AI content?
371
00:18:28,324 --> 00:18:32,014
Do I like go all in on like
data analytics plus ai?
372
00:18:32,795 --> 00:18:34,715
Um, or do I just completely ignore ai?
373
00:18:35,614 --> 00:18:38,585
Is it just like, 'cause like
honestly, I've been trying to use AI.
374
00:18:38,975 --> 00:18:43,955
To save time in my life, to help
make thumbnails, to help make
375
00:18:44,045 --> 00:18:45,634
titles for the YouTube video.
376
00:18:46,054 --> 00:18:48,605
And every time I do it, I'm
just like, this kind of sucks.
377
00:18:48,634 --> 00:18:50,014
Like it's not that good.
378
00:18:50,495 --> 00:18:53,074
Um, and it takes me a
lot of time to actually.
379
00:18:53,495 --> 00:18:56,734
Get AI to get mediocre results
and it's like, do I even
380
00:18:56,734 --> 00:18:57,875
need to be using this at all?
381
00:18:58,054 --> 00:19:00,935
A lot of the time, I found that
just keeping things simple, not
382
00:19:00,935 --> 00:19:03,725
using AI has been more efficient
even with analyzing data.
383
00:19:03,725 --> 00:19:09,574
I know a couple episodes ago, um, I
made a, a line chart showing meta stock
384
00:19:09,574 --> 00:19:12,725
against ExxonMobil stock, and I did it
all via ai and it just would've taken
385
00:19:12,725 --> 00:19:15,995
me the exact amount of time to just
do it myself with basically no ai.
386
00:19:16,685 --> 00:19:17,554
And so I'm really split.
387
00:19:17,554 --> 00:19:21,214
It's like, do I focus a lot more on
AI or do I not focus on AI at all
388
00:19:21,214 --> 00:19:22,264
or do I do somewhere in the middle?
389
00:19:22,850 --> 00:19:24,800
And that's been a struggle
for, for me to figure out.
390
00:19:24,800 --> 00:19:26,870
I don't know where I'm at on that stage.
391
00:19:26,870 --> 00:19:28,220
I don't know what, what you guys want.
392
00:19:28,220 --> 00:19:29,960
I don't know what's best for you.
393
00:19:29,960 --> 00:19:32,690
I don't know what I'm most interested in.
394
00:19:33,440 --> 00:19:33,800
I don't know.
395
00:19:34,550 --> 00:19:39,350
Um, but I think my after I've like
thought about this for a while, I think
396
00:19:39,350 --> 00:19:45,110
my honest, my honest answer of what I'm
actually going to do moving forward is
397
00:19:45,110 --> 00:19:47,630
I'm gonna try to do an episode every week.
398
00:19:48,485 --> 00:19:52,865
Two of the weeks are going to be
like more podcasty, a little bit less
399
00:19:52,865 --> 00:19:56,405
YouTubey, and two of the episodes are
gonna be a little bit more YouTubey
400
00:19:56,405 --> 00:19:57,935
and a little bit more podcasty.
401
00:19:58,865 --> 00:20:02,105
Um, I consider this episode
a little bit more podcasty.
402
00:20:02,375 --> 00:20:04,085
This isn't gonna go viral on YouTube.
403
00:20:04,085 --> 00:20:04,175
This.
404
00:20:05,014 --> 00:20:10,505
Um, and that's okay because, um,
I value speaking authentically and
405
00:20:10,505 --> 00:20:13,355
honestly over just millions of views.
406
00:20:13,534 --> 00:20:16,445
Not that I've ever gotten millions
of views, but you get the point like.
407
00:20:17,029 --> 00:20:21,170
There's value in just telling you
guys, updating you on my life.
408
00:20:21,259 --> 00:20:24,380
There's value in just updating
you guys on this podcast, on this
409
00:20:24,380 --> 00:20:26,449
episode, uh, on this YouTube channel.
410
00:20:27,080 --> 00:20:31,190
Um, so the, the episodes on podcast and
YouTube are pretty much exactly the same.
411
00:20:32,210 --> 00:20:35,870
Um, one's a video, one's audio,
uh, whatever one you enjoy
412
00:20:35,870 --> 00:20:37,759
most, you can digest it there.
413
00:20:38,150 --> 00:20:43,429
Uh, and half of my videos are probably
gonna be like, more like what you
414
00:20:43,429 --> 00:20:46,009
would expect out of a YouTube video,
and half of them are probably gonna be
415
00:20:46,009 --> 00:20:48,230
more what you expect out of a podcast.
416
00:20:48,529 --> 00:20:52,520
Now that's probably like all the
YouTubers would probably say that's bad
417
00:20:52,549 --> 00:20:58,100
to do because there's people on YouTube
who only like eight to 12 minute long
418
00:20:58,100 --> 00:20:59,600
videos and that is all they'll watch.
419
00:20:59,600 --> 00:21:00,920
And if they get a video like this.
420
00:21:01,324 --> 00:21:02,975
That is now 22 minutes.
421
00:21:03,425 --> 00:21:04,595
They're not gonna watch it all.
422
00:21:04,595 --> 00:21:05,945
And you're confusing the algorithm.
423
00:21:06,455 --> 00:21:08,915
And to that, I say, screw the algorithm.
424
00:21:08,945 --> 00:21:09,875
That's what I wanna do.
425
00:21:09,875 --> 00:21:10,804
So that's what we're gonna do.
426
00:21:11,165 --> 00:21:15,425
So we'll have interviews that are, you
know, maybe an hour long and we'll have
427
00:21:15,455 --> 00:21:19,475
episodes that maybe are eight minutes
long, um, just depending on the week.
428
00:21:19,534 --> 00:21:21,275
And I hope that's okay with you.
429
00:21:21,395 --> 00:21:26,764
Um, yeah, I guess let me know if
it is like, that's, that's the, the
430
00:21:26,764 --> 00:21:27,995
last thing I just wanna say is like.
431
00:21:28,415 --> 00:21:31,295
Tell me, you guys like in the
comments, tell me what you like.
432
00:21:31,295 --> 00:21:32,284
Tell me what you don't like.
433
00:21:32,614 --> 00:21:34,264
Especially if you're a podcast listener.
434
00:21:34,685 --> 00:21:37,685
That's one of the hardest things
about doing a podcast is there's
435
00:21:37,685 --> 00:21:40,054
no likes, there's no saves.
436
00:21:40,565 --> 00:21:42,935
Spotify just rolled
out comments last year.
437
00:21:43,445 --> 00:21:48,245
There's like no feedback whatsoever, and
it's like you're talking to 5,000 people
438
00:21:48,545 --> 00:21:50,404
every episode, but no one says anything.
439
00:21:50,404 --> 00:21:51,364
There's no clapping.
440
00:21:52,745 --> 00:21:54,125
Like, it's like, how the heck am I?
441
00:21:54,575 --> 00:21:55,985
Am I supposed to know
if that was good or not?
442
00:21:55,985 --> 00:21:56,945
If you guys liked it or not?
443
00:21:57,305 --> 00:21:58,805
Uh, so if you're on YouTube.
444
00:21:59,585 --> 00:22:01,475
Let me know what, what
should I do more on YouTube?
445
00:22:01,475 --> 00:22:02,975
Like what do you like
that I do on YouTube?
446
00:22:02,975 --> 00:22:04,234
What do you hate that I do on YouTube?
447
00:22:04,714 --> 00:22:07,565
If you're on the podcast, if
you're on Spotify, leave a comment.
448
00:22:07,625 --> 00:22:08,614
Tell me what you like.
449
00:22:09,065 --> 00:22:10,324
Tell me you hated this episode.
450
00:22:10,324 --> 00:22:10,804
I don't care.
451
00:22:10,804 --> 00:22:13,085
I just want honest feedback of
what you guys actually like.
452
00:22:13,085 --> 00:22:17,165
I do this to try to help you guys and
if I don't know what I was actually
453
00:22:17,165 --> 00:22:21,154
useful or helpful to you guys, then it's
hard for me to to make smart choices.
454
00:22:21,455 --> 00:22:23,824
If you're listening like on Apple
or some other podcast platform.
455
00:22:24,009 --> 00:22:26,949
Or if you're listening and you
just wanna email me, email me.
456
00:22:27,009 --> 00:22:31,120
My email is Avery, just my name
Avery at, and then my company
457
00:22:31,120 --> 00:22:34,629
name, data career jump start.com.
458
00:22:35,230 --> 00:22:38,440
Um, and you can just make like a
subject like podcast suggestions.
459
00:22:38,440 --> 00:22:41,560
Like any suggestions you
guys have, I'm open for them.
460
00:22:41,589 --> 00:22:43,239
Like I will read all those emails.
461
00:22:43,239 --> 00:22:44,589
I'll read all the comments here.
462
00:22:44,980 --> 00:22:46,495
I'll take into account
what you guys are saying.
463
00:22:47,389 --> 00:22:50,210
And I'll try to improve, uh,
the podcast going forward.
464
00:22:50,240 --> 00:22:54,740
That being said, I think, I think the
podcast is decently solid right now.
465
00:22:54,740 --> 00:22:55,730
Like I'm pretty proud.
466
00:22:56,120 --> 00:23:00,409
Um, by now our, when this publishes our
Nick won episode about sports analytics
467
00:23:00,409 --> 00:23:02,719
would come out, I'm really proud of that.
468
00:23:02,719 --> 00:23:04,790
I think that was a really
informative episode.
469
00:23:05,240 --> 00:23:09,409
Um, I just did one about job scams
that I feel is really important.
470
00:23:09,920 --> 00:23:10,760
I just recorded that.
471
00:23:10,760 --> 00:23:12,080
That'll be out already.
472
00:23:12,770 --> 00:23:15,440
I'm like pretty proud of some
of the episodes we've done.
473
00:23:15,500 --> 00:23:17,780
Um, so I feel like we're in a good place.
474
00:23:18,199 --> 00:23:21,679
I feel like we can improve and
optimize and get better down the road.
475
00:23:21,949 --> 00:23:25,639
And I'd love for you guys to,
uh, do part of that with me.
476
00:23:25,639 --> 00:23:27,679
So if you're open to
that, leave a comment.
477
00:23:28,009 --> 00:23:30,590
And, uh, once again, thank
you guys for listening.
478
00:23:30,650 --> 00:23:31,745
Thank you for subscribing.
479
00:23:31,995 --> 00:23:33,065
Thank you for downloading.
480
00:23:33,065 --> 00:23:34,280
Thank you for sharing with friends.
481
00:23:34,850 --> 00:23:38,270
Um, it is like mind boggling, like.
482
00:23:39,020 --> 00:23:45,560
The podcast is still at, you know,
20,000, um, downloads a month, more or
483
00:23:45,560 --> 00:23:50,240
less, and I'm just pulling up YouTube
studio to figure out how many, uh,
484
00:23:50,300 --> 00:23:52,280
watchers we've had in the last month.
485
00:23:53,060 --> 00:23:54,710
And the answer is
486
00:23:59,720 --> 00:24:00,679
170.
487
00:24:01,280 --> 00:24:06,170
So like, basically not quite 200,000, but
let's just say close to 200,000 people.
488
00:24:06,875 --> 00:24:09,545
Are listening to what I have to say.
489
00:24:09,784 --> 00:24:13,175
And uh, that's really humbling
that you guys take the time out
490
00:24:13,175 --> 00:24:17,885
of your day to do that because,
um, I know you guys are busy.
491
00:24:17,945 --> 00:24:20,675
I know there's lots of different
choices of media out there and the
492
00:24:20,675 --> 00:24:24,185
fact that you guys choose my episodes
and you guys keep coming back,
493
00:24:24,784 --> 00:24:26,345
um, I don't take that for granted.
494
00:24:26,345 --> 00:24:29,135
So thank you guys so much and uh,
look forward to hearing from you.
