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Exploring Machine Learning, AI, and Data Science

3 Year Retrospective

In this episode, Frank and Andy share their thoughts on three years of podcasting, stoicism, and climbing Mount Royal.

Show Notes

This is the first show that we recorded via live stream. It also marks the debut of our AI voice over talent.

Sponsor

Get a free audiobook on us at http://thedatadrivenbook.com/

Transcription (AI Generated)

The following was generated by YouTube’s caption system.

0:00:03.200,0:00:15.540

hey Andy how it’s going good how are you

0:00:06.600,0:00:16.830

good I’m seeing a black screen and for

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some reason the audios being piped

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through you know are you input should be

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my my camera does on the pair of B let

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me try turning it off and back on again

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I know you have a call so for those of

0:00:36.480,0:00:43.440

you joining us on YouTube and our

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Facebook live page Andy and I are doing

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an experiment and what’s data science

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without experiments right Andy so true

0:00:49.039,0:00:55.980

so how’s my audio your audios awesome

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okay could you hear

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all right I’ve turned my camera on main

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using the app that came with it so the

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software that we were explaining for

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folks and for you Andy I’ll bring our

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listeners into this the image we haven’t

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started three years ago plus or minus a

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few weeks we wanted to hold off on the

0:01:20.790,0:01:30.060

celebrations for a number of reasons and

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we originally envisioned this show to

0:01:30.060,0:01:37.110

become a video podcast so technology and

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costs have come down that if Sumi Annie

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gets his camera going we will be able to

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do there we go I see yeah I am here I

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found the Settings button awesome so

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this is good this is good so we have the

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ability now to kind of do something more

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long a lot to think what we were

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originally envisioned so as awesome as

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you may think the show has been we

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actually had even we had even grander

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plans so this is just an experiment

0:02:08.929,0:02:12.770

might even put this live on the feed is

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kind of like a

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call it a data point how about that Andy

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I like it I like that a lot because the

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advantage is that because I’m using a

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product called restream that I can pipe

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two different output so this is actually

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going to Frank’s world TV YouTube

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channel our Facebook live feed and

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because of the magic of automation this

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is also going to be I’m actually going

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to once this ends will see that it

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should pick up the arm the video feed

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from Facebook and then pipe that into an

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mp3 file which should be ready for

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upload to the scene so again it’s data

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science right in data magic it’s not

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science

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I told that to customers a lot like you

0:03:01.400,0:03:05.690

know it’s ok to fail because it’s called

0:03:03.890,0:03:09.740

data science it’s not in Dean in the

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perfection so you know and and silently

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calling it science what you say well it

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failed but you know we weren’t sure it

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was gonna work so it’s kind of so how’s

0:03:19.010,0:03:23.270

it going I know you have a call in like

0:03:20.600,0:03:27.380

five minutes but yeah it’s I’m I’m

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waiting on someone and if they if they

0:03:27.380,0:03:32.000

don’t show up that that’s ok they’re

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busy it’s a regular call with with

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someone who subcontracts with me and

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he’s older but he is a data scientist as

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well and he sometimes gets distracted

0:03:39.620,0:03:43.550

heads down that’s why you pinged me

0:03:42.140,0:03:45.080

about five minutes till the call I was

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like well I got a call in five minutes

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five let’s do it

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I was upstairs drinking coffee when I

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messaged you and I’m glad you did

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this is our oh I like this Frank this is

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you’re right this is our vision that’s

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why we registered data-driven dot TV so

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okay there’s another reason we want to

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register theirs right there’s a reason

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why we’re distr dot TV but the real

0:04:07.340,0:04:13.340

reason we didn’t do coms because it was

0:04:08.930,0:04:16.460

taken so well there was that full

0:04:13.340,0:04:18.020

transparency minor and convenience minor

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inconvenience I turned it into a

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potential opportunity to make it into a

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video podcast but the and

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look here we are so don’t give up on

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your dreams kids that’s right no things

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are things are going good here today

0:04:29.450,0:04:35.170

Franco a little busy it’s um it’s an

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interesting time to be an entrepreneur

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right in technology it’s it’s usually

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feast or famine but there’s a lot of

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factors kind of weighing in on all of

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that today

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I think 2020 has been that kind of year

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where it’s just been you know one thing

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after after another but Frank you and I

0:04:58.040,0:05:04.070

are both people of faith right and what

0:05:02.000,0:05:07.070

I say when it’s good times and bad times

0:05:04.070,0:05:08.960

is you know we’re in God’s hands and a

0:05:07.070,0:05:13.760

lot of people don’t like us mixing that

0:05:08.960,0:05:15.830

kind of stuff that way if you’re if

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you’re don’t believe in God then you

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know you can take the stoic approaches

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um anyway I mean well and we have you

0:05:22.940,0:05:27.410

know we had I remember a couple of

0:05:25.100,0:05:29.090

people that we interviewed brought that

0:05:27.410,0:05:31.700

up brought up the stove approach Brent

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those are stands out right right

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Raven the last one so and in Bob Ward

0:05:35.930,0:05:41.960

spoke a lot about his face right all

0:05:38.870,0:05:43.580

right at the end of it and I’m gonna go

0:05:41.960,0:05:48.950

I’m gonna go out on a limb and say I

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still believe this room I mean something

0:05:48.950,0:05:52.130

I read it might have been from talev but

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wasn’t in one of his books it might have

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been like a tweet or something like that

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you know that wars and plagues happen so

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frequently in human history yet we’re

0:06:01.880,0:06:06.350

still surprised when they happen yeah

0:06:04.490,0:06:09.320

and that kind of that kind of stuck with

0:06:06.350,0:06:10.820

me and and you know if you are person of

0:06:09.320,0:06:13.280

faith Amen that’s cool if you’re not

0:06:10.820,0:06:17.720

that’s cool too we all have to live on

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the same planet we did until Mars is an

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option then we’ll share too but I mean

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you know as someone you know you all

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know I mean I don’t not everyone knows

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but you know I was at the World Trade

0:06:31.850,0:06:38.780

Center I had PTSD

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and one of the lasting legacies is a

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PTSD is kind of the the overreaction to

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stress now to say the 20/20 has been

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stressful here both for family reasons

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I’m kind of side this is an

0:06:55.040,0:07:05.210

understatement and you know I you know I

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it’s it’s it’s very easy to cower and

0:07:05.210,0:07:09.200

kind of like just zone out and I’ve done

0:07:07.220,0:07:10.820

that like you can figure out when that

0:07:09.200,0:07:12.290

happened when if you would look at the

0:07:10.820,0:07:15.290

blog when kind of the post kind of

0:07:12.290,0:07:18.620

dipped as well as the podcast when we

0:07:15.290,0:07:21.760

didn’t record but kind of I had this

0:07:18.620,0:07:25.370

moment of of clarity that you know

0:07:21.760,0:07:27.140

reading reading uh things you know about

0:07:25.370,0:07:29.800

stoicism it was a really good book

0:07:27.140,0:07:32.990

called the obstacles the way yeah and

0:07:29.800,0:07:34.670

you know there are two things in this

0:07:32.990,0:07:36.230

world right there’s one way to look at

0:07:34.670,0:07:38.480

I’m paraphrasing but basically things

0:07:36.230,0:07:40.310

you can control and things you can you

0:07:38.480,0:07:43.490

know so things you can control

0:07:40.310,0:07:48.050

well you know laying in bed all day it’s

0:07:43.490,0:07:49.220

not kind of fix it right and things you

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can’t control

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you can’t do anything about it so at

0:07:51.680,0:08:00.560

some point I kind of this thought that

0:07:55.180,0:08:03.110

how can I make this how can I be a

0:08:00.560,0:08:06.160

better person despite all this how can I

0:08:03.110,0:08:08.000

be a better father how can I be a better

0:08:06.160,0:08:09.590

technologist not gonna be better like

0:08:08.000,0:08:14.270

human being just in general right

0:08:09.590,0:08:15.890

because you know I I’ve listened to a

0:08:14.270,0:08:17.750

lot of Tony Robbins over the years and

0:08:15.890,0:08:20.270

some people like him some people hate

0:08:17.750,0:08:21.560

him but one of the things he says that

0:08:20.270,0:08:23.750

the quality of your life is largely

0:08:21.560,0:08:28.880

determined by the questions you ask

0:08:23.750,0:08:32.930

yourself and we’re really off topic here

0:08:28.880,0:08:35.120

that’s okay we live in a very odd year

0:08:32.930,0:08:37.219

but I mean you know if you ask yourself

0:08:35.120,0:08:39.740

constantly why is this happening or why

0:08:37.219,0:08:44.390

is this being allowed to happen by you

0:08:39.740,0:08:46.550

know some divine entity you you’re going

0:08:44.390,0:08:49.500

to get answers that lead I think to

0:08:46.550,0:08:52.950

despair but if you ask your

0:08:49.500,0:08:54.900

self questions of how can I use this to

0:08:52.950,0:09:00.180

be a better person what can I learn from

0:08:54.900,0:09:02.490

this you’re gonna put your head in a

0:09:00.180,0:09:05.250

better place now I’m not saying that’s

0:09:02.490,0:09:09.570

gonna magically solve everything but

0:09:05.250,0:09:10.520

honestly and if falling apart isn’t

0:09:09.570,0:09:14.640

going to help anyone

0:09:10.520,0:09:18.620

it’s interesting the where you know

0:09:14.640,0:09:22.080

where the euler’s overlap between

0:09:18.620,0:09:24.270

stoicism and and faith and where they

0:09:22.080,0:09:25.830

don’t right and I think it’s you know

0:09:24.270,0:09:27.030

it’s a it makes it’s important

0:09:25.830,0:09:29.820

distinctions and I think there’s

0:09:27.030,0:09:31.980

different flavors of both stoicism enter

0:09:29.820,0:09:34.380

or is it a Venn diagram well I think

0:09:31.980,0:09:39.300

this would that you could probably get

0:09:34.380,0:09:40.650

away with a ban on this although since

0:09:39.300,0:09:44.070

we’re doing experiments let me try this

0:09:40.650,0:09:49.440

let me try this yeah do your pen thing I

0:09:44.070,0:09:51.180

see your pen I got my pen and let me

0:09:49.440,0:09:53.820

make sure customer notes I had a huge

0:09:51.180,0:09:56.190

customer engagement yesterday which is

0:09:53.820,0:09:58.440

why my LinkedIn live feed yesterday was

0:09:56.190,0:09:59.670

kind of like it was short because I had

0:09:58.440,0:10:02.850

to pick up the one of the kids from

0:09:59.670,0:10:05.670

daycare but okay I leave my frame was

0:10:02.850,0:10:08.250

pretty much melted I miss Frank and and

0:10:05.670,0:10:09.960

while you’re bringing that up no I don’t

0:10:08.250,0:10:13.860

know if the our listeners know it or not

0:10:09.960,0:10:17.160

but I’ve been doing twitch yes oh you

0:10:13.860,0:10:20.250

see that screenshot I said I I think I

0:10:17.160,0:10:22.410

did well you send me a bunch Frank let

0:10:20.250,0:10:24.180

me finish this fuck I spend I spend a

0:10:22.410,0:10:26.760

while stop forehead let me scroll up the

0:10:24.180,0:10:31.320

one I think I said there whose is it’s

0:10:26.760,0:10:33.480

not the profile one is it no let me

0:10:31.320,0:10:36.120

finish this is one of you on art there’s

0:10:33.480,0:10:38.040

another view on live there you are

0:10:36.120,0:10:41.610

alright update assurance I want to do a

0:10:38.040,0:10:44.280

joke okay do a joke so this is your

0:10:41.610,0:10:46.200

right I think it is ven em no no I

0:10:44.280,0:10:56.790

spelled it I spilled it all out because

0:10:46.200,0:10:57.270

you’ll see okay bad movies diesel it’s a

0:10:56.790,0:11:00.310

joke

0:10:57.270,0:11:06.320

I don’t know

0:11:00.310,0:11:09.470

yeah it is it is actually then and I

0:11:06.320,0:11:12.020

think it’s to ends but this is cool so

0:11:09.470,0:11:17.060

we can actually do we can go further the

0:11:12.020,0:11:18.230

original vision in terms of you know

0:11:17.060,0:11:19.240

doing architectures and stuff because

0:11:18.230,0:11:21.590

when you’re talking about data

0:11:19.240,0:11:24.560

engineering aspect especially in some of

0:11:21.590,0:11:28.820

the more esoteric kind of mathematical

0:11:24.560,0:11:31.490

concepts around data science in AI I

0:11:28.820,0:11:33.830

think having that whiteboard will be

0:11:31.490,0:11:35.540

very helpful and it’s nothing fancy I

0:11:33.830,0:11:37.930

mean it’s like it’s like literally the

0:11:35.540,0:11:40.280

cheapest Wacom tablet you can get and

0:11:37.930,0:11:41.690

and here’s here’s a good example that I

0:11:40.280,0:11:47.900

can bring it back now I can bring it

0:11:41.690,0:11:50.150

back full circle is I did a just before

0:11:47.900,0:11:52.010

I switch to my new role as an MTC

0:11:50.150,0:11:54.530

architect we did an architecture designs

0:11:52.010,0:11:58.340

us and with some company there was a

0:11:54.530,0:12:02.150

customer of mine and we were trying to

0:11:58.340,0:12:03.610

architect something on a virtual

0:12:02.150,0:12:06.860

whiteboard because we’re all virtual and

0:12:03.610,0:12:11.090

I were really struggled to draw it with

0:12:06.860,0:12:13.250

the mouse and I was already powered well

0:12:11.090,0:12:15.560

and it’s not you it’s not if the sample

0:12:13.250,0:12:17.570

rate on the mouse is like 20 to 40 times

0:12:15.560,0:12:19.460

per second and the sample rate on a pen

0:12:17.570,0:12:26.780

on the stylus system at least in Windows

0:12:19.460,0:12:28.850

is 120 so it’s not you it’s Knology so

0:12:26.780,0:12:31.970

for those that don’t know I was a tablet

0:12:28.850,0:12:33.320

PC MVP prior to joining Microsoft and

0:12:31.970,0:12:35.030

for those who don’t know I know these

0:12:33.320,0:12:37.010

things that’s why I know these things

0:12:35.030,0:12:40.610

for those who don’t know tablet PC was a

0:12:37.010,0:12:42.800

platform that prior to the iPad but I’m

0:12:40.610,0:12:45.980

gonna leave that there negativity there

0:12:42.800,0:12:47.960

so to bring it back together I kinda I

0:12:45.980,0:12:49.550

was really I fortunately the customers

0:12:47.960,0:12:51.320

happy but I was not happy with how I

0:12:49.550,0:12:53.570

performed and I was kind of like oh my

0:12:51.320,0:12:55.040

god this is my new job and you know I

0:12:53.570,0:12:56.450

wasn’t so hard in transition but I

0:12:55.040,0:12:59.990

basically was kind of like a practice

0:12:56.450,0:13:02.180

run and I felt like didn’t quite I felt

0:12:59.990,0:13:03.980

like I didn’t do my best so I kind of

0:13:02.180,0:13:05.960

you know I two options here right I can

0:13:03.980,0:13:10.000

you know I kind of thought about that

0:13:05.960,0:13:10.000

that’s though a kind of mentality of

0:13:10.470,0:13:15.300

what can I do to be better right right

0:13:13.230,0:13:19.620

it’s not a character flaw it’s just yeah

0:13:15.300,0:13:21.390

it was your first time out yeah and so I

0:13:19.620,0:13:23.580

was like well you know what I really

0:13:21.390,0:13:24.750

needed was if you could draw the diagram

0:13:23.580,0:13:26.280

because when you’re when you’re on a

0:13:24.750,0:13:28.320

webcam and you’re kind of like with a

0:13:26.280,0:13:29.970

customer and you can’t read the room

0:13:28.320,0:13:33.570

like you normally can and you’re

0:13:29.970,0:13:34.890

struggling to draw with the mouse that’s

0:13:33.570,0:13:36.720

all I say all right how can I make that

0:13:34.890,0:13:40.920

experience better so then I was like

0:13:36.720,0:13:43.290

well you know look for I’m like well I I

0:13:40.920,0:13:48.660

need the right um thing and well you

0:13:43.290,0:13:51.240

know don’t want to buy a whole new like

0:13:48.660,0:13:52.950

you know monitor thing but you know for

0:13:51.240,0:13:54.570

like 40 bucks I was able to get this

0:13:52.950,0:13:58.500

this Wacom tablet and that is

0:13:54.570,0:14:01.050

transformative you know so and I spent a

0:13:58.500,0:14:03.210

lot of time I I like to doodle sometimes

0:14:01.050,0:14:05.670

so like I got used to us I spent some

0:14:03.210,0:14:09.570

time practicing it so now you get to see

0:14:05.670,0:14:11.610

really bad jokes on now this so but I

0:14:09.570,0:14:13.890

think that’s just for me that that kind

0:14:11.610,0:14:17.790

of was like you know I was stressed out

0:14:13.890,0:14:20.730

and you know one of the advantages of

0:14:17.790,0:14:22.650

having kind of dealt with the half the

0:14:20.730,0:14:26.010

longer-term after-effects PTSD is you

0:14:22.650,0:14:28.170

have this ability to kind of stop and be

0:14:26.010,0:14:29.460

self aware mindful this I guess or self

0:14:28.170,0:14:32.880

aware and like all right why am i

0:14:29.460,0:14:35.300

feelings what right yeah and I actually

0:14:32.880,0:14:37.860

talked about this on another podcast

0:14:35.300,0:14:40.410

it’s called a rad dad podcast I’ll put a

0:14:37.860,0:14:44.910

link in the show notes where we talk

0:14:40.410,0:14:47.850

about that how like you know that was

0:14:44.910,0:14:49.800

kind of like you know helps me be a

0:14:47.850,0:14:53.490

better dad now my kids may have a

0:14:49.800,0:14:56.160

different opinion of that but but I mean

0:14:53.490,0:14:58.440

you know the context was like you know

0:14:56.160,0:15:00.570

you want to yell at the kids because you

0:14:58.440,0:15:02.339

know it’s like 30 minutes into they were

0:15:00.570,0:15:03.720

supposed to get dressed and they still

0:15:02.339,0:15:05.580

don’t have their socks on you know what

0:15:03.720,0:15:07.410

I mean right so you kind of have that

0:15:05.580,0:15:09.089

moment of like before you’re about to

0:15:07.410,0:15:13.589

yell I kind of take a deep breath I’m

0:15:09.089,0:15:15.240

like alright focus you know and that’s

0:15:13.589,0:15:17.160

kind of like it’s it should come like a

0:15:15.240,0:15:19.200

habit now and I’m sure many people will

0:15:17.160,0:15:22.260

point out times when I didn’t do it but

0:15:19.200,0:15:22.830

you know just like a I just like data

0:15:22.260,0:15:24.699

science

0:15:22.830,0:15:29.360

eighty ninety percent mom

0:15:24.699,0:15:31.550

it’s good enough for the play we are you

0:15:29.360,0:15:34.310

worried about overfitting Frank as a dad

0:15:31.550,0:15:36.800

oh I hadn’t thought of that one

0:15:34.310,0:15:39.410

mm-hmm that would be a good book series

0:15:36.800,0:15:41.959

philosophy and data science that might

0:15:39.410,0:15:44.779

work somebody should and you know just

0:15:41.959,0:15:47.180

to throw this into the mix for your kids

0:15:44.779,0:15:50.240

you’re their best and worst example of a

0:15:47.180,0:15:53.749

dad this is true Hamiltonian so is it

0:15:50.240,0:15:55.910

true you know I’d I had this experience

0:15:53.749,0:15:58.819

being a dad where I’m you know I was a

0:15:55.910,0:16:02.870

dad way too young two daughters who are

0:15:58.819,0:16:05.689

awesome and then I became a dad again I

0:16:02.870,0:16:08.360

three three children two sons then

0:16:05.689,0:16:10.879

another daughter and what I learned

0:16:08.360,0:16:14.749

going through that experience of you

0:16:10.879,0:16:18.110

know two sets of children is that it’s a

0:16:14.749,0:16:20.660

vicious trap that it really is you will

0:16:18.110,0:16:22.730

if you think about you know how good of

0:16:20.660,0:16:25.610

a dad you are and the time you’re not

0:16:22.730,0:16:28.730

spending especially if you work and most

0:16:25.610,0:16:30.649

dad’s work right um you know if there’s

0:16:28.730,0:16:32.149

this this whole thing I thought should

0:16:30.649,0:16:36.439

be spending more time with my kids and

0:16:32.149,0:16:38.180

the truth is yes probably probably most

0:16:36.439,0:16:41.059

dads should be spending more time with

0:16:38.180,0:16:42.649

their kids but the second time around I

0:16:41.059,0:16:46.550

have spent more time with my kids

0:16:42.649,0:16:50.079

I still feel guilt yeah that was the

0:16:46.550,0:16:52.639

heard that you know you know you

0:16:50.079,0:16:54.740

what’s interesting was and I go into

0:16:52.639,0:16:57.170

detail about this story I think I shared

0:16:54.740,0:17:01.009

this with you not on the podcast but

0:16:57.170,0:17:02.689

like my young girl give the two-minute

0:17:01.009,0:17:03.980

version my younger son gets in the car

0:17:02.689,0:17:09.530

after I picked off from school one day

0:17:03.980,0:17:11.059

and he’s like upset he goes oh they want

0:17:09.530,0:17:12.709

us to learn an instrument and I’m like

0:17:11.059,0:17:15.980

like anyone has time for that and I

0:17:12.709,0:17:18.530

turned to him was like really I was like

0:17:15.980,0:17:23.559

look when I gave him my stump speech

0:17:18.530,0:17:23.559

I’ll spare the audience but kind of like

0:17:24.010,0:17:32.030

you know everyone on this planet has to

0:17:28.189,0:17:35.720

the same 24 hours in the day of all the

0:17:32.030,0:17:38.150

things talent money resources anything

0:17:35.720,0:17:42.990

the only thing that’s evenly distributed

0:17:38.150,0:17:44.820

in our existence is taught Bill Gates

0:17:42.990,0:17:46.560

Warren Buffett have the same amount of

0:17:44.820,0:17:49.350

time as the poorest people in the world

0:17:46.560,0:17:51.540

it’s really about how you manage that

0:17:49.350,0:17:53.790

time now yes Bill Gates Warren Buffett

0:17:51.540,0:17:56.880

can pay people to do errands like you

0:17:53.790,0:17:58.440

know groceries have the dry cleaning

0:17:56.880,0:18:00.300

that sort of thing because what they

0:17:58.440,0:18:03.630

really what they really have learned is

0:18:00.300,0:18:05.010

to optimize their time and I kind of

0:18:03.630,0:18:06.660

went on this thing in a way that a

0:18:05.010,0:18:09.390

ten-year-old would understand what would

0:18:06.660,0:18:11.760

understand it you know and then months

0:18:09.390,0:18:15.360

later and I I just saw him roll his eyes

0:18:11.760,0:18:16.860

and kind of like I was a kid too I think

0:18:15.360,0:18:18.810

the kids are gonna understanding like I

0:18:16.860,0:18:23.190

was a kid to you like I know I know this

0:18:18.810,0:18:24.750

is a game so so like he I read over

0:18:23.190,0:18:26.790

something he’d read and was something

0:18:24.750,0:18:28.710

like you know what’s what did was a

0:18:26.790,0:18:30.120

lesson you learned recently and it was

0:18:28.710,0:18:32.760

all about like everyone has the same

0:18:30.120,0:18:35.400

time like almost verbatim my speech

0:18:32.760,0:18:38.250

which I have spared the audience you can

0:18:35.400,0:18:39.480

go to the RAD dad podcast kind of your

0:18:38.250,0:18:42.960

the whole kind of thing

0:18:39.480,0:18:45.750

very cool Frank but but yeah so I mean

0:18:42.960,0:18:48.810

it’s you know I’m excited to have the

0:18:45.750,0:18:52.440

show we’re 251 episodes in this is I

0:18:48.810,0:18:59.550

guess to 53 years let me pull up the

0:18:52.440,0:19:03.720

math here the calendar to 52 divided by

0:18:59.550,0:19:05.880

three it’s 84 shows per year bad not bad

0:19:03.720,0:19:09.750

I was hoping we hit 300 to be honest

0:19:05.880,0:19:12.330

with you yeah why it’s not just you

0:19:09.750,0:19:14.580

Frank I mean it’s you mentioned earlier

0:19:12.330,0:19:16.710

that we get in the court because it just

0:19:14.580,0:19:17.520

just stuff going on it’s been that way

0:19:16.710,0:19:19.560

here too

0:19:17.520,0:19:22.860

I mean I’ve been I’ve been slammed up

0:19:19.560,0:19:25.800

and you know I’ve been writing a little

0:19:22.860,0:19:29.580

more I last time I had a book come out

0:19:25.800,0:19:34.290

was in 2017 and had three come out that

0:19:29.580,0:19:35.580

year you’re working off a year maybe man

0:19:34.290,0:19:37.500

there may have been one that slipped

0:19:35.580,0:19:39.630

over from 20 because I was teasing you

0:19:37.500,0:19:41.580

that like you’ve been slacking you know

0:19:39.630,0:19:43.740

I have been well it’s it’s acting

0:19:41.580,0:19:48.030

artists I have four put on the air dude

0:19:43.740,0:19:50.310

cut yourself a little slack your pens to

0:19:48.030,0:19:50.740

write because if it’s a rewrite or new

0:19:50.310,0:19:52.720

it

0:19:50.740,0:19:54.910

or something like that point dude that’s

0:19:52.720,0:19:57.490

not nearly as much work as writing the

0:19:54.910,0:20:01.660

one book I wrote was a Silverlight book

0:19:57.490,0:20:05.650

and one day I will expound upon what

0:20:01.660,0:20:07.510

happened but let’s just say that when

0:20:05.650,0:20:08.679

the second edition was coming out this

0:20:07.510,0:20:14.290

was just before the Silverlight

0:20:08.679,0:20:17.080

apocalypse my employer at the time which

0:20:14.290,0:20:17.920

was not Microsoft decided that hey you

0:20:17.080,0:20:20.290

work for us

0:20:17.920,0:20:24.309

so everything intellectually you produce

0:20:20.290,0:20:26.500

is ours so what gets makes perfect sense

0:20:24.309,0:20:28.510

we’ll get a royalty without it and I’m

0:20:26.500,0:20:33.490

like I do this on my own computer on my

0:20:28.510,0:20:36.490

own time and honestly writing a book is

0:20:33.490,0:20:38.440

you don’t do it for the money and you

0:20:36.490,0:20:40.210

know and they were like well here’s what

0:20:38.440,0:20:41.740

we’ll do the second edition we’ll take

0:20:40.210,0:20:45.460

the royalties from and then we’ll give

0:20:41.740,0:20:47.200

you something and you can keep the

0:20:45.460,0:20:48.610

royalties you already have on the

0:20:47.200,0:20:50.620

existing book which I thought was nice

0:20:48.610,0:20:52.780

because I’d only worked there like three

0:20:50.620,0:20:57.130

months and the book had been out seven

0:20:52.780,0:20:59.020

months and so what I did was after some

0:20:57.130,0:21:02.320

very tense negotiations with the owners

0:20:59.020,0:21:04.960

and founders of said company I so they

0:21:02.320,0:21:10.240

called my publisher said I’m out don’t

0:21:04.960,0:21:11.410

want to do it and which and I told them

0:21:10.240,0:21:13.210

it’s like hey I know you have your

0:21:11.410,0:21:14.920

policy and I know I’m not going to read

0:21:13.210,0:21:17.350

your mind but here’s the unintended

0:21:14.920,0:21:18.630

consequence I can’t for everything I was

0:21:17.350,0:21:21.370

supposed to do a Pluralsight course

0:21:18.630,0:21:22.929

because they they basically said you

0:21:21.370,0:21:25.150

know and I’m like don’t want that don’t

0:21:22.929,0:21:27.070

want now I’m like I’m out and I said

0:21:25.150,0:21:28.600

this is what you’re doing so instead of

0:21:27.070,0:21:30.280

getting my name out there and this

0:21:28.600,0:21:31.420

company’s name out there essentially

0:21:30.280,0:21:35.800

what you’re doing is you’re squashing

0:21:31.420,0:21:38.980

any kind of thing now I know rationally

0:21:35.800,0:21:42.490

why they did that but you know the the

0:21:38.980,0:21:44.320

problem I had was they wanted me to see

0:21:42.490,0:21:47.010

their point of view when they didn’t

0:21:44.320,0:21:49.179

wouldn’t even entertain my point of view

0:21:47.010,0:21:50.920

well you know Frank I own a company

0:21:49.179,0:21:54.760

right and I’ve got people that are

0:21:50.920,0:21:57.600

associated with me here and I find that

0:21:54.760,0:22:01.900

kind of thinking very short-sighted and

0:21:57.600,0:22:04.390

it fosters bad will because even though

0:22:01.900,0:22:06.460

you’re not mentioning them by name

0:22:04.390,0:22:09.970

folks are clever they can figure it out

0:22:06.460,0:22:11.980

hey only there was some site where all

0:22:09.970,0:22:13.780

of your previous employers were linking

0:22:11.980,0:22:16.150

in to your program

0:22:13.780,0:22:18.910

oh I see what you did there I see what

0:22:16.150,0:22:20.950

you did there none I don’t wish them bad

0:22:18.910,0:22:23.640

will like yeah yeah I mean they had

0:22:20.950,0:22:26.350

their point of view my issue was like

0:22:23.640,0:22:28.570

there was another company in Richmond

0:22:26.350,0:22:31.060

that I almost worked for but they

0:22:28.570,0:22:35.260

wouldn’t work with me on I mean honestly

0:22:31.060,0:22:36.280

I wanted again this is not a cadet

0:22:35.260,0:22:37.780

session I swear

0:22:36.280,0:22:40.960

and for those who don’t know I’m from

0:22:37.780,0:22:44.320

New York right kvetch is I think it’s a

0:22:40.960,0:22:45.730

Yiddish term for complain it may be you

0:22:44.320,0:22:47.650

know what that means maybe no word but

0:22:45.730,0:22:52.270

anyway so this is not a cadet session

0:22:47.650,0:22:54.730

but you know they wanted me to work for

0:22:52.270,0:22:56.410

them I wasn’t happy where I was again

0:22:54.730,0:22:57.940

could probably figure out company this

0:22:56.410,0:22:59.680

was and there was a lot going on my life

0:22:57.940,0:23:01.600

my dad was safe he died and like so

0:22:59.680,0:23:02.740

there’s a lot going on and I basically

0:23:01.600,0:23:05.470

said all right

0:23:02.740,0:23:10.510

I understand that I make X amount more

0:23:05.470,0:23:12.070

than what you typically pay and you know

0:23:10.510,0:23:15.640

they came to me as an offer unless I

0:23:12.070,0:23:17.850

tell you what I’ll meet you halfway and

0:23:15.640,0:23:23.590

they’re like no that’s not our policy

0:23:17.850,0:23:24.210

okay let me repeat that this is where I

0:23:23.590,0:23:29.050

am today

0:23:24.210,0:23:35.470

and this is where you want me to be I’m

0:23:29.050,0:23:37.060

not happy but I’m not gonna be happy

0:23:35.470,0:23:38.950

anywhere where I think that much of a

0:23:37.060,0:23:42.520

pay cut but I’m willing to meet you

0:23:38.950,0:23:44.080

halfway and I know that it was

0:23:42.520,0:23:45.700

ultimately we’re not talking about a

0:23:44.080,0:23:49.090

massive sum of money here it wasn’t like

0:23:45.700,0:23:53.200

I mean it wasn’t a lot of money but it

0:23:49.090,0:23:56.890

was enough to be like no now fortunately

0:23:53.200,0:23:59.980

for me I met my wife who lived in

0:23:56.890,0:24:02.260

Northern Virginia and I left in Richmond

0:23:59.980,0:24:04.690

although I do miss mid low mid low was

0:24:02.260,0:24:07.300

an awesome place to live

0:24:04.690,0:24:09.970

although it’s crowded now my god we were

0:24:07.300,0:24:12.090

their only class yeah yeah it is it’s

0:24:09.970,0:24:15.160

the looks I notice autumn lips there

0:24:12.090,0:24:16.840

yeah it’s gotten crazy because looks

0:24:15.160,0:24:22.029

yeah it looks like more Jersey

0:24:16.840,0:24:26.890

um but uh cleaner and they were no

0:24:22.029,0:24:28.360

disrespect but uh I don’t know where we

0:24:26.890,0:24:31.029

were going with this but I mean I mean

0:24:28.360,0:24:33.070

but but here’s the thing this is why

0:24:31.029,0:24:34.690

this turned me off in both cases and I

0:24:33.070,0:24:38.080

think this gets into something that my

0:24:34.690,0:24:39.580

current boss or maker boss you know

0:24:38.080,0:24:41.799

Sasha Nadella he talks about empathy

0:24:39.580,0:24:43.900

right he talks about it a lot and if you

0:24:41.799,0:24:45.340

don’t know kind of the context they’re

0:24:43.900,0:24:48.190

talking about empathy it sounds very

0:24:45.340,0:24:51.279

touchy-feely kind of like okay but

0:24:48.190,0:24:54.880

empathy is not just a touchy-feely

0:24:51.279,0:24:56.529

concept it’s actually there’s a really

0:24:54.880,0:24:58.330

good book I listen to the audiobook or

0:24:56.529,0:25:01.210

never split the difference

0:24:58.330,0:25:03.010

yep and he calls it Chris Voss I think

0:25:01.210,0:25:07.330

is the author and he calls yet ethical

0:25:03.010,0:25:08.919

empathy mm-hmm which I thought if you I

0:25:07.330,0:25:11.500

can’t recommend that book enough because

0:25:08.919,0:25:13.809

it’s it’s awesome and I’ve tried I had

0:25:11.500,0:25:15.100

some of the techniques and you know

0:25:13.809,0:25:16.990

there there was somebody who was selling

0:25:15.100,0:25:20.020

of course and it was like two three

0:25:16.990,0:25:21.370

thousand dollars or so kind of mentoring

0:25:20.020,0:25:23.919

thing and I’m I don’t want to name

0:25:21.370,0:25:27.520

anyone but I’m like I really want to do

0:25:23.919,0:25:30.100

it but I I just couldn’t justify the

0:25:27.520,0:25:31.360

cost at the time and I’m just for fun

0:25:30.100,0:25:34.380

I’m like I knew I wasn’t going to do it

0:25:31.360,0:25:37.149

but I was like I said to this person I

0:25:34.380,0:25:39.220

said you know basically one of the

0:25:37.149,0:25:40.750

things that that’s in the book is you

0:25:39.220,0:25:45.159

know you you answer with how am I

0:25:40.750,0:25:47.260

supposed to do that yes and I just did

0:25:45.159,0:25:49.000

it as an experiment and work because

0:25:47.260,0:25:50.980

this person changed the payment plan so

0:25:49.000,0:25:52.299

it went from like in one warm some to

0:25:50.980,0:25:53.980

like min there was like a monthly thing

0:25:52.299,0:25:55.270

I still didn’t do it because I knew I

0:25:53.980,0:25:57.490

just didn’t have the time to commit to

0:25:55.270,0:25:59.230

it but I mean it’s just amazing so I

0:25:57.490,0:26:01.960

can’t recommend that book enough I think

0:25:59.230,0:26:03.610

he even has now a class are like the

0:26:01.960,0:26:05.919

whole thing on master class calm

0:26:03.610,0:26:08.169

we talks about the art of negotiating

0:26:05.919,0:26:09.669

yeah so this guy knows the stuff he was

0:26:08.169,0:26:12.700

a hostage negotiator for the FBI for

0:26:09.669,0:26:14.020

like 20 years so yeah he is he’s awesome

0:26:12.700,0:26:16.120

and the book is awesome

0:26:14.020,0:26:20.230

yeah and I would ask him to be on the

0:26:16.120,0:26:23.020

show but we know how that goes you know

0:26:20.230,0:26:26.370

the more I think about that so Frank and

0:26:23.020,0:26:30.480

I had a non positive experience

0:26:26.370,0:26:32.640

how’s that when we dress yes we we tried

0:26:30.480,0:26:34.650

we went after a big fish and you know

0:26:32.640,0:26:37.799

Frank I I think I own that I think

0:26:34.650,0:26:40.679

approach that I took was not well

0:26:37.799,0:26:42.090

thought out so it’s mine you swung for

0:26:40.679,0:26:43.799

the fences I can’t fault you for

0:26:42.090,0:26:47.820

swinging for the fences but I think we

0:26:43.799,0:26:52.980

also learned a lesson that people we

0:26:47.820,0:26:54.299

listened to we admire their podcasts we

0:26:52.980,0:26:56.490

admire their books we admire their

0:26:54.299,0:26:59.760

thoughts even at Meijer their protein

0:26:56.490,0:27:04.980

bars yes and you all affect clever you

0:26:59.760,0:27:06.779

could figure this out right they may not

0:27:04.980,0:27:12.029

be the awesome people that we think they

0:27:06.779,0:27:14.520

are they may have hired on awesome

0:27:12.029,0:27:15.750

people that was excited initially they

0:27:14.520,0:27:17.760

are also in a place where they may have

0:27:15.750,0:27:23.580

hired in a virtual assistant who may be

0:27:17.760,0:27:26.220

a jerk and that’s kind of what happened

0:27:23.580,0:27:28.140

where we didn’t get we won we didn’t

0:27:26.220,0:27:29.850

think about the gatekeepers to the

0:27:28.140,0:27:32.570

gatekeepers have a higher opinion of

0:27:29.850,0:27:36.240

themselves then it’s really warranted

0:27:32.570,0:27:38.190

but I will say I want to give a big

0:27:36.240,0:27:40.799

shout-out to an author who has been on

0:27:38.190,0:27:43.500

the show recently did you get what you

0:27:40.799,0:27:53.549

should get yours yet I did I have my

0:27:43.500,0:27:56.159

book so this is we got a signed book so

0:27:53.549,0:27:58.049

Bob Ward was recently on the podcast

0:27:56.159,0:28:03.419

since I’m posting this relatively soon

0:27:58.049,0:28:06.750

this is going to be probably the

0:28:03.419,0:28:08.250

previous episode he posted on this you

0:28:06.750,0:28:11.279

know he was on show it was an awesome

0:28:08.250,0:28:12.809

show definitely listened to it and I

0:28:11.279,0:28:14.070

kind of appreciate now how we got

0:28:12.809,0:28:15.929

involved with sequel server a little

0:28:14.070,0:28:19.409

more so like I’m looking through the

0:28:15.929,0:28:20.909

book oh yeah so it’s always cool to cut

0:28:19.409,0:28:22.970

another story but but he was awesome

0:28:20.909,0:28:25.440

after we hung up he goes hey you guys

0:28:22.970,0:28:26.850

you know if you don’t have a copy of

0:28:25.440,0:28:29.250

this book let me send you a signed copy

0:28:26.850,0:28:30.690

send me your address and I’m like that

0:28:29.250,0:28:32.700

was really big of him I thought that was

0:28:30.690,0:28:36.570

awesome it was it was very awesome

0:28:32.700,0:28:39.830

loving he’s a you know I like we don’t

0:28:36.570,0:28:43.259

hang out or anything

0:28:39.830,0:28:46.019

I’ve known about Bob Ward for four years

0:28:43.259,0:28:46.469

and you know seen him speak a number of

0:28:46.019,0:28:51.090

times

0:28:46.469,0:28:53.719

various past summits and and alike and

0:28:51.090,0:28:58.969

yeah I think you saw him at Tech ready

0:28:53.719,0:29:01.409

earlier this year late last year okay

0:28:58.969,0:29:03.989

probably if not the last like the

0:29:01.409,0:29:09.029

second-to-last presentation he’s given

0:29:03.989,0:29:12.869

publicly yeah it’s just that’s he posed

0:29:09.029,0:29:15.210

a very knowledgeable also very humble I

0:29:12.869,0:29:17.519

think in the way that he and I don’t

0:29:15.210,0:29:20.700

think it’s a it’s it’s false humility

0:29:17.519,0:29:23.279

years he is just that kind of guy and

0:29:20.700,0:29:25.649

I’m at that I think that that touches on

0:29:23.279,0:29:27.210

empathy right because like it does not

0:29:25.649,0:29:28.080

only is he an awesome guest but we just

0:29:27.210,0:29:30.239

want to work with him again

0:29:28.080,0:29:32.249

you know what I mean like yeah you know

0:29:30.239,0:29:38.219

so it’s kind of like you know so for

0:29:32.249,0:29:40.619

this other character we you know I see

0:29:38.219,0:29:43.499

his protein bars and shakes and in the

0:29:40.619,0:29:44.820

store and I’m like I like and every time

0:29:43.499,0:29:47.399

like they’re at Sam’s Club they’re at

0:29:44.820,0:29:49.739

Wegmans I like reach them because and

0:29:47.399,0:29:53.099

I’m like all they’re expensive and then

0:29:49.739,0:29:54.359

I’m like you can’t see this on the

0:29:53.099,0:29:55.919

podcast but you see the hand going to

0:29:54.359,0:29:57.929

touch the thing so let’s do it was

0:29:55.919,0:30:03.330

dramatic reenactment so this thing here

0:29:57.929,0:30:04.259

and I grab it and I’m like yeah that’s

0:30:03.330,0:30:07.229

funny

0:30:04.259,0:30:10.519

I still subscribe to the podcast then

0:30:07.229,0:30:14.279

like it pops up in my feet and I’m like

0:30:10.519,0:30:15.269

nah my maybe later and it’s not it the

0:30:14.279,0:30:18.749

funny thing is because it was his

0:30:15.269,0:30:21.690

handler wasn’t me enough we didn’t have

0:30:18.749,0:30:23.249

interaction with him directly and I

0:30:21.690,0:30:25.349

would posit but but I think would really

0:30:23.249,0:30:27.239

soured the milk on this was the fact

0:30:25.349,0:30:30.979

that he blocked you and me on Twitter

0:30:27.239,0:30:33.359

like yes we didn’t all right I mean I

0:30:30.979,0:30:35.489

don’t think it was I think it was his

0:30:33.359,0:30:36.779

handler I think was his handler which is

0:30:35.489,0:30:39.589

interesting because his handler that

0:30:36.779,0:30:42.389

handles his Twitter which is you know

0:30:39.589,0:30:45.509

just you know it is probably in the

0:30:42.389,0:30:50.429

three years of podcasting you can try to

0:30:45.509,0:30:52.380

keep this on topic yeah yep yep the

0:30:50.429,0:30:55.740

three years of podcasting

0:30:52.380,0:30:57.000

I anticipated a lot of things some of

0:30:55.740,0:31:01.800

them happened that wasn’t one of them

0:30:57.000,0:31:05.400

that was that we yeah so in terms of you

0:31:01.800,0:31:08.450

know you know I guess that kind of makes

0:31:05.400,0:31:08.450

this a three year retrospective

0:31:08.780,0:31:13.890

in terms of our numbers here let’s be

0:31:11.550,0:31:15.980

super transparent let’s be not let’s be

0:31:13.890,0:31:18.770

what we think other people should be

0:31:15.980,0:31:21.900

which I think might be another stoic

0:31:18.770,0:31:23.340

thing I’m liking it while you’re pulling

0:31:21.900,0:31:25.770

that up Frank I’ll say one other thing

0:31:23.340,0:31:29.520

about empathy the book I’m wrapping up

0:31:25.770,0:31:31.290

right now to get ready to go to you know

0:31:29.520,0:31:33.630

where the publisher takes it and does

0:31:31.290,0:31:36.270

everything they need to do and with a

0:31:33.630,0:31:38.610

press this takes a couple of months for

0:31:36.270,0:31:40.950

them to get it and you know between when

0:31:38.610,0:31:45.030

I’m done and then there’s a physical

0:31:40.950,0:31:47.910

copy and there’s a section in them

0:31:45.030,0:31:50.430

writing on some pieces about automation

0:31:47.910,0:31:53.250

frameworks and I have a section in there

0:31:50.430,0:31:55.500

about empathy no actually at the

0:31:53.250,0:31:58.550

introduction of it I think everything’s

0:31:55.500,0:31:58.550

a big part of software

0:32:04.519,0:32:06.580

you

0:32:19.470,0:32:28.620

Oh what no I’m back everyone can see and

0:32:26.250,0:32:31.139

hear me I’ve got a little note down oh

0:32:28.620,0:32:33.480

so there’s a little blooper then that’s

0:32:31.139,0:32:34.259

all right so I need to figure out how

0:32:33.480,0:32:37.470

this works

0:32:34.259,0:32:40.799

oh here we go here we go but there’s our

0:32:37.470,0:32:42.860

number if it is you wondering all right

0:32:40.799,0:32:50.129

now you can see it I’m sorry about that

0:32:42.860,0:32:52.980

fix that in editing but basically turned

0:32:50.129,0:32:56.000

30 we could round up but let’s just say

0:32:52.980,0:32:57.960

130 seven and a half thousand downloads

0:32:56.000,0:33:00.120

Wow

0:32:57.960,0:33:02.159

what’s really cool you can see growth so

0:33:00.120,0:33:05.629

normally our episodes would would tend

0:33:02.159,0:33:08.129

to top out around three four hundred

0:33:05.629,0:33:13.860

we’re we’re almost to the point where it

0:33:08.129,0:33:16.440

tops out at 700 actually Congrats

0:33:13.860,0:33:21.320

and what’s interesting some of them go

0:33:16.440,0:33:24.990

higher and you know this gives me more

0:33:21.320,0:33:26.730

stuff so we definitely are growing I did

0:33:24.990,0:33:32.370

notice the other day that we are somehow

0:33:26.730,0:33:36.419

delisted from Spotify so I can’t happen

0:33:32.370,0:33:41.840

I think when so we use a this is an

0:33:36.419,0:33:41.840

awesome service called podcast websites

0:33:42.049,0:33:48.049

which we’ve been using and they split up

0:33:45.509,0:33:50.519

kind of their product into two parts a

0:33:48.049,0:33:54.090

podcast hosting which is what captivate

0:33:50.519,0:33:56.639

is and I think the URL changed so when

0:33:54.090,0:34:02.039

the URL the old URL stopped work I’m not

0:33:56.639,0:34:04.710

sure they automatically handled Apple

0:34:02.039,0:34:06.120

podcast who rule I don’t think they

0:34:04.710,0:34:09.750

automatically didn’t Spotify so I do

0:34:06.120,0:34:11.849

need to redo that because hmm that was a

0:34:09.750,0:34:14.460

big source of thing so you know again

0:34:11.849,0:34:18.329

two ways to look at this right oh my god

0:34:14.460,0:34:20.429

we’re off there’s like we’re getting

0:34:18.329,0:34:22.319

numbers and we’re not Spotify imagine

0:34:20.429,0:34:25.440

what happens when we add Spotify see

0:34:22.319,0:34:27.810

thanks Mel good thinking Frank I love it

0:34:25.440,0:34:30.329

it’s all in your authenticity yeah yeah

0:34:27.810,0:34:32.460

and it’s not you know it’s not just

0:34:30.329,0:34:33.300

playing some silly game it really is

0:34:32.460,0:34:36.780

about

0:34:33.300,0:34:38.310

yourself motivated right and you know

0:34:36.780,0:34:40.650

and you and I go back and forth on this

0:34:38.310,0:34:43.280

a lot because we’re it seems like you

0:34:40.650,0:34:46.560

know one of us is up the other ones down

0:34:43.280,0:34:47.010

when we bounce around I think it’s

0:34:46.560,0:34:50.700

normal

0:34:47.010,0:34:55.230

like a good team so I think so I do I

0:34:50.700,0:34:57.750

mean you know it’s it’s we have it seems

0:34:55.230,0:34:59.070

like we have strengths and each of us

0:34:57.750,0:35:01.380

has streaks where the other one has

0:34:59.070,0:35:05.090

weaknesses except you don’t have any

0:35:01.380,0:35:10.230

weaknesses so it’s all I assure you

0:35:05.090,0:35:15.360

so speaking of both and I can’t seem to

0:35:10.230,0:35:17.160

find it that’s around here somewhere for

0:35:15.360,0:35:22.020

the art of war I gave it to my

0:35:17.160,0:35:23.730

ten-year-old to read I saw maybe it was

0:35:22.020,0:35:26.670

on Instagram I think was on Instagram

0:35:23.730,0:35:28.320

yeah and this one’s cool because there’s

0:35:26.670,0:35:30.090

those multiple copies of it and my

0:35:28.320,0:35:32.790

favorite one I don’t know where that

0:35:30.090,0:35:35.400

book is but basically you have the

0:35:32.790,0:35:36.630

original text yeah well you have the

0:35:35.400,0:35:38.130

original text in Chinese then underneath

0:35:36.630,0:35:40.500

is the English translation and then you

0:35:38.130,0:35:42.120

have kind of like over the centuries the

0:35:40.500,0:35:45.660

different commenters have kind of added

0:35:42.120,0:35:47.910

flavor to it which is really good like

0:35:45.660,0:35:51.150

you know so it’ll say by land you know

0:35:47.910,0:35:53.250

by the earth sunsuit meant this and like

0:35:51.150,0:35:54.620

they’re kind of ruminating on it because

0:35:53.250,0:35:58.140

the book itself is actually really short

0:35:54.620,0:35:59.990

yeah it’s not it’s not a lot but it’s

0:35:58.140,0:36:02.430

very pithy if your world very meaty and

0:35:59.990,0:36:07.070

but having that extra commentary really

0:36:02.430,0:36:09.240

help this one is a it has a really cool

0:36:07.070,0:36:12.510

all right now let’s go and bother me and

0:36:09.240,0:36:14.220

I can’t find it but but what’s really

0:36:12.510,0:36:15.720

cool about this one is it has this

0:36:14.220,0:36:17.760

really fancy like binding and it looks

0:36:15.720,0:36:19.800

like an old ancient like Chinese book

0:36:17.760,0:36:21.390

and stuff like very nice half of its the

0:36:19.800,0:36:23.460

original Chinese script and 1/2 is the

0:36:21.390,0:36:25.200

English translation so very cool it

0:36:23.460,0:36:30.030

looks cool it was definitely a very

0:36:25.200,0:36:31.830

Instagram friendly couple cover yeah you

0:36:30.030,0:36:34.350

know you mentioned it’s short and

0:36:31.830,0:36:37.050

there’s that’s that’s true of a lot of

0:36:34.350,0:36:39.090

books that were written centuries ago

0:36:37.050,0:36:42.180

especially before the Gutenberg press

0:36:39.090,0:36:44.340

and a lot of that is due to you know it

0:36:42.180,0:36:45.960

was a lot of work you know it’s like

0:36:44.340,0:36:46.540

it’s not like what you and I do today

0:36:45.960,0:36:49.390

like when I

0:36:46.540,0:36:52.900

I start typing in a temple you know and

0:36:49.390,0:36:54.910

work but they had to go make paper first

0:36:52.900,0:36:56.740

I was gonna say like there was no

0:36:54.910,0:36:58.990

Staples office deep no like whatever

0:36:56.740,0:37:01.300

they couldn’t go to Walmart and you know

0:36:58.990,0:37:03.160

pick up that so I think that i think

0:37:01.300,0:37:09.340

that encouraged more of a pithy

0:37:03.160,0:37:13.780

discipline and i shame for us for us in

0:37:09.340,0:37:15.520

the 21st century i think they chose

0:37:13.780,0:37:18.190

their words careful more carefully than

0:37:15.520,0:37:19.630

we would today yeah act today it’s the

0:37:18.190,0:37:21.640

opposite right what are kids taught in

0:37:19.630,0:37:23.890

school need to write 300 words on this

0:37:21.640,0:37:25.750

topic right you know and there was a

0:37:23.890,0:37:27.910

meme going around like you know in text

0:37:25.750,0:37:30.760

message you know it was like no you

0:37:27.910,0:37:33.100

wrote no and then like you know and in

0:37:30.760,0:37:34.960

an email you write no I can’t and then

0:37:33.100,0:37:36.400

like in a in and then ultimately that

0:37:34.960,0:37:38.530

the punch line was at the end it was

0:37:36.400,0:37:41.530

like unfortunately at this time due to

0:37:38.530,0:37:44.770

circumstances I find myself unable to

0:37:41.530,0:37:47.950

perform said activity you know we’re

0:37:44.770,0:37:51.190

trying to becoming more wordy because

0:37:47.950,0:37:53.710

the cost curve is not there’s no I don’t

0:37:51.190,0:37:57.040

know we’re really deviating that’s what

0:37:53.710,0:37:58.960

let’s take it back to data science okay

0:37:57.040,0:38:00.370

if you look here this is the I really

0:37:58.960,0:38:04.450

won thing I really do love about the

0:38:00.370,0:38:06.850

folks that are captivate I think the

0:38:04.450,0:38:08.620

parent company is now rebel based media

0:38:06.850,0:38:11.310

or something like that but what’s really

0:38:08.620,0:38:15.370

cool the they really feed my

0:38:11.310,0:38:18.130

visualization guy you know not my inner

0:38:15.370,0:38:20.170

visualization geek so you’ll see now

0:38:18.130,0:38:21.760

they’ve added this thing where episode

0:38:20.170,0:38:25.870

releases and you see it we have a nice

0:38:21.760,0:38:27.370

kind of up curve there yep yeah and Bob

0:38:25.870,0:38:30.360

Ward we had a pretty healthy up curve

0:38:27.370,0:38:32.770

too and let’s see if we can go back

0:38:30.360,0:38:36.960

let’s go to all-time Andy let’s see

0:38:32.770,0:38:41.350

let’s see how we look like over time oh

0:38:36.960,0:38:43.000

wow now okay I won’t let me overlay the

0:38:41.350,0:38:46.660

episodes but you’ll see like over time

0:38:43.000,0:38:48.400

he did have some good spikes and what

0:38:46.660,0:38:51.670

have some more we’re not going more I

0:38:48.400,0:38:54.790

mean if you look you know our best spike

0:38:51.670,0:38:55.869

so far has been you know within the last

0:38:54.790,0:38:58.970

12 months

0:38:55.869,0:39:03.530

yay us yep

0:38:58.970,0:39:06.200

but um sorry if you’re not seeing this

0:39:03.530,0:39:09.109

in the podcast we’ll screenshot this and

0:39:06.200,0:39:10.220

put it in the show notes and big shout

0:39:09.109,0:39:15.290

out to Andy because he does the show

0:39:10.220,0:39:17.329

notes I learned so much when I do that

0:39:15.290,0:39:19.849

because when we’re doing the show I’m

0:39:17.329,0:39:22.250

kind of in a different mode you know

0:39:19.849,0:39:23.810

kind of in hang out and I’m not really

0:39:22.250,0:39:25.400

thinking that much about it it’s not

0:39:23.810,0:39:28.430

that I’m not listening it said I’m

0:39:25.400,0:39:30.920

listening differently no no different

0:39:28.430,0:39:32.540

modes of attention – yeah and when I go

0:39:30.920,0:39:35.089

back and start going through the show

0:39:32.540,0:39:38.960

notes I’m pausing it reflecting looking

0:39:35.089,0:39:41.180

up links and stuff like that yeah there

0:39:38.960,0:39:43.700

was hurry up and do it and I hear it

0:39:41.180,0:39:45.349

again – as I had yeah so it’s like we I

0:39:43.700,0:39:50.079

think we make a good workflow team there

0:39:45.349,0:39:52.820

you know like yeah oh yeah yeah so I

0:39:50.079,0:39:53.450

like those minutes you charge in Tibet I

0:39:52.820,0:39:54.920

know

0:39:53.450,0:39:58.609

fancy charts this is kind of like

0:39:54.920,0:40:01.099

all-time obviously you know if you look

0:39:58.609,0:40:02.630

most of our downloads have been and we

0:40:01.099,0:40:05.660

kind of see this from the fan email we

0:40:02.630,0:40:07.130

get we love fan email by the way yeah we

0:40:05.660,0:40:10.280

kind of see this in a fan email is that

0:40:07.130,0:40:14.359

most of our audience is in the US with

0:40:10.280,0:40:15.740

the UK second and most of our engaged

0:40:14.359,0:40:16.760

listeners though I think are in the UK

0:40:15.740,0:40:19.760

which is interesting

0:40:16.760,0:40:24.260

yeah it’s got to be the British lady

0:40:19.760,0:40:25.700

voiceover intro that fits which which

0:40:24.260,0:40:27.530

which you know since we’re kind of doing

0:40:25.700,0:40:30.170

a three year retrospective I chose that

0:40:27.530,0:40:32.390

intentionally for several reasons one I

0:40:30.170,0:40:34.400

have a very New York it’s much more

0:40:32.390,0:40:36.589

muted now but I have a very New York

0:40:34.400,0:40:39.940

kind of accent are you sure about that

0:40:36.589,0:40:42.910

well you don’t have an accent at all but

0:40:39.940,0:40:48.140

everybody else talks funny you’re right

0:40:42.910,0:40:49.970

I didn’t want it to be too East Coast so

0:40:48.140,0:40:51.619

I wanted to kind of mellow it out and I

0:40:49.970,0:40:54.950

thought you know a generic American

0:40:51.619,0:40:59.119

accent we’ll just how do those and I’d

0:40:54.950,0:41:02.089

this lady I think shifty pop on fiverr

0:40:59.119,0:41:04.550

she’s awesome she does mostly kids work

0:41:02.089,0:41:07.849

now but I thought that would add a nice

0:41:04.550,0:41:09.300

kind of British you know posh type of

0:41:07.849,0:41:11.130

aspect to it because what

0:41:09.300,0:41:13.560

think I don’t know if a lot of British

0:41:11.130,0:41:14.550

folks know this but one Americans here a

0:41:13.560,0:41:16.680

British accent

0:41:14.550,0:41:18.270

immediately we assume that everybody is

0:41:16.680,0:41:21.150

like super educated and super

0:41:18.270,0:41:23.850

sophisticated whereas people hear me

0:41:21.150,0:41:26.340

speak right or me you know be like hey

0:41:23.850,0:41:28.440

you cuz youse guys over there you know I

0:41:26.340,0:41:30.600

don’t talk like that generally but like

0:41:28.440,0:41:37.140

oh I’m yelling at my kids I’m like you

0:41:30.600,0:41:38.910

know I can’t say that every now and then

0:41:37.140,0:41:41.340

folks if you if you don’t know this

0:41:38.910,0:41:47.460

Frank woman I I refer to it as Frank

0:41:41.340,0:41:49.920

going Jersey I’ve had him on speaker a

0:41:47.460,0:41:51.540

couple of times and I’ve had my one of

0:41:49.920,0:41:57.900

my one or more of my kids in the car and

0:41:51.540,0:42:00.450

I’m like I didn’t know I needed any he

0:41:57.900,0:42:04.590

went unders I went on Jersey pretty

0:42:00.450,0:42:10.680

quick I can kind of control it now it’s

0:42:04.590,0:42:14.340

all good I’m not judging and it makes me

0:42:10.680,0:42:15.960

laugh actually it is pretty funny we had

0:42:14.340,0:42:18.870

a pretty good we had a pretty good thing

0:42:15.960,0:42:22.110

like I think with your older son let’s

0:42:18.870,0:42:26.010

not say where he broke down his car

0:42:22.110,0:42:28.050

broke down and I was like and then I

0:42:26.010,0:42:33.300

said something you’re like oh my god he

0:42:28.050,0:42:35.250

really said that maybe we’ll do this

0:42:33.300,0:42:38.390

we’ll explain kind of this stuff in the

0:42:35.250,0:42:43.190

four or five year retrospective yeah we

0:42:38.390,0:42:43.190

were data-driven data-driven after dark

0:42:44.180,0:42:49.320

no but like it’s funny because when we

0:42:47.970,0:42:52.800

first start talking about doing the

0:42:49.320,0:42:54.210

podcast we had originally said let’s do

0:42:52.800,0:42:57.900

it for three years and see what happens

0:42:54.210,0:42:59.310

let’s go for two maybe three years so I

0:42:57.900,0:43:02.640

don’t know I’m game for doing another

0:42:59.310,0:43:07.250

three how about you up I’m in oh man

0:43:02.640,0:43:09.690

cool man and if you want to help spell

0:43:07.250,0:43:13.320

we we do have that relationship with

0:43:09.690,0:43:14.760

audible and and and it’s it’s it’s just

0:43:13.320,0:43:17.590

the program to do for podcasters it’s

0:43:46.330,0:43:49.960

this is the more the advantage of life

0:43:47.470,0:43:51.760

you get and when we always live stream

0:43:49.960,0:43:54.880

to Facebook live traditionally because

0:43:51.760,0:43:56.770

it works great on the phone wherever an

0:43:54.880,0:43:58.840

idea strikes us but if you want to

0:43:56.770,0:44:00.910

support the show go ahead over to

0:43:58.840,0:44:03.370

audible check out any of the things we

0:44:00.910,0:44:04.870

mentioned obstacles the way you go to

0:44:03.370,0:44:07.600

the data-driven book.com

0:44:04.870,0:44:09.460

and you’ll be routed to that and then

0:44:07.600,0:44:11.170

basically you’ll get a free autumn free

0:44:09.460,0:44:15.300

audible book if you’re not already

0:44:11.170,0:44:19.120

subscribed and I can’t recommend

0:44:15.300,0:44:21.360

anything by Grant Cardone enough I just

0:44:19.120,0:44:26.110

finished inner sighs by John Assaraf

0:44:21.360,0:44:27.130

excellent book there’s also the two

0:44:26.110,0:44:29.650

books we talked about today

0:44:27.130,0:44:35.020

never split the difference which is

0:44:29.650,0:44:36.490

about negotiations and the obstacle is

0:44:35.020,0:44:38.560

the way and I forget who the author is

0:44:36.490,0:44:40.990

on that one but that’s also good it’s a

0:44:38.560,0:44:45.640

good kind of introduction to stoicism

0:44:40.990,0:44:48.580

and but yeah and we also have our

0:44:45.640,0:44:51.970

t-shirts which Amazon kind of shut that

0:44:48.580,0:44:55.330

down because of the pandemic they shut

0:44:51.970,0:44:57.400

down all the t-shirt right so parentage

0:44:55.330,0:45:02.380

and they’re going to reopen on July 30th

0:44:57.400,0:45:03.760

so and yeah so if you buy that you get

0:45:02.380,0:45:07.750

the word geeky shirt and you get to

0:45:03.760,0:45:09.190

support the show so and support us in

0:45:07.750,0:45:12.010

the next release we have a couple other

0:45:09.190,0:45:14.750

ideas that we use from

0:45:12.010,0:45:16.520

we’ve been pondering that’s okay

0:45:14.750,0:45:20.540

I looked at my phone too because I was

0:45:16.520,0:45:22.010

like I don’t know my wife was naked well

0:45:20.540,0:45:24.010

I guess so I think this is cool I think

0:45:22.010,0:45:26.390

what’s really exciting about this is one

0:45:24.010,0:45:27.920

took us three years but we finally have

0:45:26.390,0:45:30.230

the platform and the setup that we

0:45:27.920,0:45:32.930

originally envisioned but you know with

0:45:30.230,0:45:34.520

this fancy schmancy thing here if we now

0:45:32.930,0:45:36.200

have the ability to whiteboard which is

0:45:34.520,0:45:37.850

something I never envisioned so keep

0:45:36.200,0:45:40.640

going keep pushing towards your dreams

0:45:37.850,0:45:44.540

and your goals even it may take three

0:45:40.640,0:45:46.400

years I mean the the origin story of the

0:45:44.540,0:45:50.660

name data-driven was from Black Friday

0:45:46.400,0:45:57.950

in November of 2016 we didn’t launch

0:45:50.660,0:46:00.770

until essentially early June 2017 or

0:45:57.950,0:46:03.560

late mate late May it was Memorial Day

0:46:00.770,0:46:06.650

weekend Memorial yeah last weekend in

0:46:03.560,0:46:09.140

May so it was when when everyone was in

0:46:06.650,0:46:10.970

front of their computers at home well I

0:46:09.140,0:46:13.370

intentionally conquered the soft launch

0:46:10.970,0:46:15.820

but was not intentional is that it took

0:46:13.370,0:46:19.310

us months to get this going so you know

0:46:15.820,0:46:22.370

it was really me kind of hacking away at

0:46:19.310,0:46:24.590

the kids you know we do need to learn

0:46:22.370,0:46:27.170

how to do this and yes you took the lead

0:46:24.590,0:46:29.720

on you know how we would do this and yes

0:46:27.170,0:46:32.000

we envisioned as up because I remember

0:46:29.720,0:46:35.930

having those conversations we envisioned

0:46:32.000,0:46:38.270

like in January when we got the URL

0:46:35.930,0:46:40.790

dated urban TV it’s like okay

0:46:38.270,0:46:43.430

dated urban comm was taken grab data

0:46:40.790,0:46:46.580

driven TV and we said we will do what

0:46:43.430,0:46:48.860

you see on your screen today right if

0:46:46.580,0:46:52.730

you’re watching when I had enormous

0:46:48.860,0:46:53.990

problems making it work reliably I props

0:46:52.730,0:46:57.170

to you because you’re like dude let’s

0:46:53.990,0:47:00.470

just do it you know yeah just do what we

0:46:57.170,0:47:02.600

can do remember yeah we can do audio I

0:47:00.470,0:47:07.220

know we were recorded in awesome three

0:47:02.600,0:47:10.880

episodes like back to back with Jen

0:47:07.220,0:47:15.320

Underwood and honor would Lin Lang it

0:47:10.880,0:47:17.450

and Nick Harris great shows they’re

0:47:15.320,0:47:19.940

still great shows they are awesome shows

0:47:17.450,0:47:21.930

there are some shows I was talking to

0:47:19.940,0:47:23.520

Jen some time ago and

0:47:21.930,0:47:25.350

about having her back on the show and

0:47:23.520,0:47:26.730

kind of cold it’d be cool it’d be cool

0:47:25.350,0:47:29.070

to get lin back to because she’s up to

0:47:26.730,0:47:36.200

some interesting stuff and she Nick both

0:47:29.070,0:47:38.940

of them are just constantly yeah and so

0:47:36.200,0:47:40.560

yeah that’s all I got man I think it’s

0:47:38.940,0:47:44.730

been an awesome ride but we we’ve we’ve

0:47:40.560,0:47:47.550

we’ve P owed a lot of well not a lot but

0:47:44.730,0:47:52.170

we pee out at least one published famous

0:47:47.550,0:47:56.400

author guy we’re still hoping the court

0:47:52.170,0:47:59.340

Nicholas Nassim Taleb but we want to

0:47:56.400,0:48:01.610

want to do that carefully I can live it

0:47:59.340,0:48:04.950

being blocked by like a

0:48:01.610,0:48:07.320

pseudo-scientific self-help guru on

0:48:04.950,0:48:08.180

Twitter but I wouldn’t want to be

0:48:07.320,0:48:11.310

blocked by Toula

0:48:08.180,0:48:13.500

well you know we could reach out to to

0:48:11.310,0:48:16.080

Chris Paul’s as well I think that’s a

0:48:13.500,0:48:17.760

good name to enter that oh yeah I mean

0:48:16.080,0:48:19.650

and and here’s the thing so here’s the

0:48:17.760,0:48:21.480

some time doing a LinkedIn live so I’m

0:48:19.650,0:48:26.490

probably gonna stream live on LinkedIn

0:48:21.480,0:48:28.260

live later today we’re basically wish

0:48:26.490,0:48:31.650

everybody and Microsoft a Happy New Year

0:48:28.260,0:48:39.000

July 1st is the Microsoft fiscal

0:48:31.650,0:48:40.470

calendar it is and but the kind of the

0:48:39.000,0:48:45.450

thought I had on LinkedIn was kind of

0:48:40.470,0:48:47.370

doing sessions for folks that are I will

0:48:45.450,0:48:49.500

eventually get to the lemons to learning

0:48:47.370,0:48:51.780

summit that’s kind of been dropped

0:48:49.500,0:48:57.510

because of some things going on in

0:48:51.780,0:49:00.090

Frank’s world but the the idea is that

0:48:57.510,0:49:03.000

the best place I can reach and serve

0:49:00.090,0:49:05.040

that mission I kind of feel like I’m on

0:49:03.000,0:49:06.210

is LinkedIn live-streaming because they

0:49:05.040,0:49:12.330

engaged when I get there is through the

0:49:06.210,0:49:15.060

roof I mean yeah you know so I want to

0:49:12.330,0:49:19.400

help folks get into data science in a

0:49:15.060,0:49:22.200

format that is more approachable and

0:49:19.400,0:49:24.510

part of that is you know yesterday was

0:49:22.200,0:49:26.460

was more popular I thought it did kind

0:49:24.510,0:49:29.370

of like you know PowerPoint skills for

0:49:26.460,0:49:31.830

data pros and it was looks like 20

0:49:29.370,0:49:33.420

minutes it’s kind of like here’s how I

0:49:31.830,0:49:34.330

get around piston and I know what you’re

0:49:33.420,0:49:36.250

thinking that you know

0:49:34.330,0:49:37.540

shouldn’t my skills alone should get me

0:49:36.250,0:49:41.050

where I need to go I shouldn’t have to

0:49:37.540,0:49:42.550

know how to present yeah you might get

0:49:41.050,0:49:45.670

where you’re going but the road will be

0:49:42.550,0:49:49.650

a lot easier you know like absolutely so

0:49:45.670,0:49:49.650

here’s a story from my college days

0:49:49.740,0:50:00.150

don’t worry it’s PG we went to once a

0:49:57.850,0:50:02.320

Montreal for spring break

0:50:00.150,0:50:03.910

now you think spring break everybody’s

0:50:02.320,0:50:06.280

going Florida but this was literally

0:50:03.910,0:50:07.840

like the last 24 hours we were like

0:50:06.280,0:50:10.210

let’s go some more I don’t want to just

0:50:07.840,0:50:16.870

think around right working to go on I’m

0:50:10.210,0:50:18.280

like let’s go to Montreal and so all of

0:50:16.870,0:50:20.410

our pictures from Spring Break they

0:50:18.280,0:50:22.780

apparently that year they had a big

0:50:20.410,0:50:26.020

blizzard like the day or two before we

0:50:22.780,0:50:27.850

got there so our Spring Break the cold

0:50:26.020,0:50:30.700

weather so for me it wasn’t like a like

0:50:27.850,0:50:33.010

but like all of our Spring Break photos

0:50:30.700,0:50:34.960

you know we’re like us like you know on

0:50:33.010,0:50:37.900

top of like 20-foot small mountains and

0:50:34.960,0:50:40.000

stuff like that and it was just funny

0:50:37.900,0:50:42.970

and then one of the things that we did

0:50:40.000,0:50:46.650

was we climbed Mount Royale which is

0:50:42.970,0:50:46.650

kind of where the city God’s name and

0:50:46.770,0:50:51.040

but we didn’t know there was an actual

0:50:49.180,0:50:54.370

road up to it so we climbed up like the

0:50:51.040,0:50:56.590

side through the woods which the first

0:50:54.370,0:50:59.170

to thought two-thirds were fun but the

0:50:56.590,0:51:03.040

final third was like almost like it was

0:50:59.170,0:51:04.600

like this like 72 70 good 80 degrees but

0:51:03.040,0:51:06.640

at that point we looked down and like no

0:51:04.600,0:51:09.250

at this point really we got a deal I’ve

0:51:06.640,0:51:11.740

got to do it and so the funny thing is

0:51:09.250,0:51:16.420

we finally climb over to the top of the

0:51:11.740,0:51:17.950

mountain to a parking lot and there was

0:51:16.420,0:51:19.360

like this one thing where there were

0:51:17.950,0:51:21.190

like thorns on some of the things I had

0:51:19.360,0:51:23.950

to grab on to so I caught myself so my

0:51:21.190,0:51:25.150

hands were like bloody and but at this

0:51:23.950,0:51:28.090

point I had so much adrenaline in my

0:51:25.150,0:51:32.500

system I didn’t care and I was also much

0:51:28.090,0:51:34.540

younger and I would have been 21 or 22

0:51:32.500,0:51:36.430

at a time and like my hands are all

0:51:34.540,0:51:39.760

bloody and I think I may have even

0:51:36.430,0:51:42.280

caught my phase 2 but I didn’t care like

0:51:39.760,0:51:43.260

I climbed it and I climbed over the

0:51:42.280,0:51:46.560

little

0:51:43.260,0:51:48.450

like the Vidor thing and then fell into

0:51:46.560,0:51:52.140

the parking lot and then got up and was

0:51:48.450,0:51:55.050

like yes right like I’d like the EDD

0:51:52.140,0:51:56.520

Milan kind of gosh right and then there

0:51:55.050,0:52:00.300

are all these people just sitting there

0:51:56.520,0:52:05.520

on the bench looking at me like I was

0:52:00.300,0:52:06.690

insane so and then I realized oh if

0:52:05.520,0:52:08.330

there’s a parking lot there’s got to be

0:52:06.690,0:52:11.490

a road and if it’s a road is probably a

0:52:08.330,0:52:13.170

trial so the moral of this story to

0:52:11.490,0:52:15.030

connect it back in so we don’t want me

0:52:13.170,0:52:19.980

under too much is that if there’s an

0:52:15.030,0:52:21.900

easier way think about taking it don’t

0:52:19.980,0:52:26.010

do what I do it by climbing up the side

0:52:21.900,0:52:30.990

I’m not real and not bother to look for

0:52:26.010,0:52:32.250

a trail it is what it is it was fun it’s

0:52:30.990,0:52:34.950

a memory I’ll never have I’ll never

0:52:32.250,0:52:37.350

forget but like you know we going down

0:52:34.950,0:52:39.810

we took the trail because we found it

0:52:37.350,0:52:41.010

but you know and I kind of did this on

0:52:39.810,0:52:43.619

another link in life so you want to talk

0:52:41.010,0:52:46.470

about you know how many blogs I post per

0:52:43.619,0:52:48.960

month which is 100 now for 18 months in

0:52:46.470,0:52:51.600

a row and I kind of said you know set

0:52:48.960,0:52:54.600

yourself up for success right like don’t

0:52:51.600,0:52:57.270

yeah life’s gonna throw stuff at you

0:52:54.600,0:52:58.830

randomly and you can get mad at that but

0:52:57.270,0:53:00.750

you can realize this that’s kind of just

0:52:58.830,0:53:02.210

how things work right and you write that

0:53:00.750,0:53:04.470

thing

0:53:02.210,0:53:05.940

don’t make things harder on yourself if

0:53:04.470,0:53:08.160

you don’t have to just don’t worry the

0:53:05.940,0:53:10.890

universe the world God whatever you

0:53:08.160,0:53:12.720

believe in is kind of to that you know

0:53:10.890,0:53:14.280

on its own right whether that’s

0:53:12.720,0:53:15.750

malicious or is it a way to make you

0:53:14.280,0:53:18.630

grow again that’s the way you want to

0:53:15.750,0:53:21.359

look at it but you know in short we are

0:53:18.630,0:53:23.130

trying to impose order where entropy is

0:53:21.359,0:53:27.270

a force and those two forces are always

0:53:23.130,0:53:29.220

in conflict so sure so don’t make moral

0:53:27.270,0:53:33.810

story is don’t climb the side of the

0:53:29.220,0:53:35.670

mountain if there’s a path I like that

0:53:33.810,0:53:37.560

story I think I need to get more coffee

0:53:35.670,0:53:40.830

so I can stay for more focused coffee

0:53:37.560,0:53:43.350

sounds awesome you know where I really

0:53:40.830,0:53:47.960

want to get as a sponsor wake the hell

0:53:43.350,0:53:51.480

up coffee yeah now I know I didn’t

0:53:47.960,0:53:53.190

Graham and I’m like it’s like a cup it’s

0:53:51.480,0:53:56.839

a king copy I know I’m lazy I’m not a

0:53:53.190,0:53:58.670

true aficionado but honestly on

0:53:56.839,0:54:00.920

three like and my wife before we bought

0:53:58.670,0:54:02.089

the first Keurig machine my wife was the

0:54:00.920,0:54:04.269

can’t you just make coffee and I was

0:54:02.089,0:54:09.200

like you don’t understand the first cup

0:54:04.269,0:54:14.150

you could be like press the first cup of

0:54:09.200,0:54:15.979

coffee doesn’t have to taste good it’s

0:54:14.150,0:54:17.779

like the opposite of wine like the

0:54:15.979,0:54:22.519

second or exactly I don’t have to taste

0:54:17.779,0:54:26.029

as good as the first one but you know

0:54:22.519,0:54:29.390

it’s a the first cup of coffee just has

0:54:26.029,0:54:30.799

to have caffeine in it wait a week tell

0:54:29.390,0:54:34.160

us Rafi’s really good it’s really

0:54:30.799,0:54:36.920

flavorful flavorful and I’m trying to

0:54:34.160,0:54:38.359

not have cream or sugar or any sweetener

0:54:36.920,0:54:41.839

in my coffee because it helps with

0:54:38.359,0:54:44.900

weight loss and good stuff like that so

0:54:41.839,0:54:47.150

which I’m down like 52 pounds so gave me

0:54:44.900,0:54:52.180

congratulations Frank that’s awesome

0:54:47.150,0:54:55.519

I found some of the weight you lost I

0:54:52.180,0:54:58.369

have quite the I’m calling it my

0:54:55.519,0:54:59.690

pandemic belly I think a lot we’re gonna

0:54:58.369,0:55:02.539

have that actually that’s actually a

0:54:59.690,0:55:06.979

good point I should probably talk to the

0:55:02.539,0:55:08.690

doctor I went to dr. trow who’s a weight

0:55:06.979,0:55:12.200

loss doctor and kind of have him on the

0:55:08.690,0:55:18.259

show and talk about because again we’re

0:55:12.200,0:55:20.029

not doctors he is but for me having a

0:55:18.259,0:55:21.289

continuous glucose monitor I think was

0:55:20.029,0:55:24.349

telling you about this I don’t know if

0:55:21.289,0:55:28.579

we mentioned this on the show but a

0:55:24.349,0:55:31.579

continuous glucose monitor is a kind of

0:55:28.579,0:55:32.869

a it’s kind of a it’s not a OT cuz it’s

0:55:31.579,0:55:34.700

not directly connected sitting internet

0:55:32.869,0:55:37.969

justice so if I call it IOT someone will

0:55:34.700,0:55:40.519

call me out on that but true but it is a

0:55:37.969,0:55:43.460

device that is NFC powered you stick in

0:55:40.519,0:55:46.819

your arm for two weeks at a time and you

0:55:43.460,0:55:50.329

scan it with your phone and it will read

0:55:46.819,0:55:53.739

your sugar levels on demand or every

0:55:50.329,0:55:57.079

five minutes and you can chart that

0:55:53.739,0:55:58.150

using the app and using a website so

0:55:57.079,0:56:01.509

yeah meanie

0:55:58.150,0:56:04.279

it helped me identify when I was hungry

0:56:01.509,0:56:06.680

be more mindful of why i was hungry am i

0:56:04.279,0:56:07.910

snacking mindlessly but more importantly

0:56:06.680,0:56:10.309

seeing immediate

0:56:07.910,0:56:15.410

back of what was eating and how is

0:56:10.309,0:56:19.839

impacting my blood sugar so for me it

0:56:15.410,0:56:23.450

turned weight loss into a data problem

0:56:19.839,0:56:26.000

right okay some kind of issue with my

0:56:23.450,0:56:29.089

weight for as long as I can remember

0:56:26.000,0:56:32.450

yeah but once I kind of saw the data and

0:56:29.089,0:56:36.740

I saw it real I mean real as numbers on

0:56:32.450,0:56:39.020

a chart can be yeah it made it more

0:56:36.740,0:56:41.359

manageable and more understandable and

0:56:39.020,0:56:43.099

less hocus-pocus because when it comes

0:56:41.359,0:56:44.569

to weight loss everybody and their

0:56:43.099,0:56:46.520

brother and their cousin and their dog

0:56:44.569,0:56:50.289

has an opinion about how things should

0:56:46.520,0:56:56.589

be done sure yet you look around obesity

0:56:50.289,0:57:00.760

epidemic so opinions are like elbows

0:56:56.589,0:57:03.650

everybody had one or two but I may be

0:57:00.760,0:57:05.329

putting the data onto it an actual doing

0:57:03.650,0:57:08.380

experimentation in science like for

0:57:05.329,0:57:12.170

instance I saw that you know I would eat

0:57:08.380,0:57:16.279

fried mozzarella sticks and fried

0:57:12.170,0:57:19.880

chicken I mean it’s mostly me it’s not

0:57:16.279,0:57:23.450

gonna affect my blood sugar first day I

0:57:19.880,0:57:24.920

had the CGM on I had Caesar salad no it

0:57:23.450,0:57:28.940

was a grilled chicken it was chicken

0:57:24.920,0:57:30.410

salad with bacon and fried chicken and

0:57:28.940,0:57:32.450

I’m like mom being healthy I’m being

0:57:30.410,0:57:35.359

healthy and then boom I saw what my

0:57:32.450,0:57:37.609

blood sugar did I’m losing so that

0:57:35.359,0:57:40.700

breading really does kind of add a plus

0:57:37.609,0:57:44.299

the oils it’s into apparently factor so

0:57:40.700,0:57:46.880

once I saw that I’m like you know and

0:57:44.299,0:57:51.410

and it’s interesting I I go now and I

0:57:46.880,0:57:53.720

see foods that used to tempt me

0:57:51.410,0:57:55.190

they don’t tempt me but there was a time

0:57:53.720,0:57:58.250

when they did tend me but I’m like oh

0:57:55.190,0:58:01.039

god that’s gonna spike my sugar and you

0:57:58.250,0:58:03.049

also yeah like when your your sugars

0:58:01.039,0:58:07.849

going on man you feel awesome like it’s

0:58:03.049,0:58:10.579

like it’s the crash that hurts yes so

0:58:07.849,0:58:12.740

it’s kind of like like this bit like

0:58:10.579,0:58:17.049

reinforcement learning if you will you

0:58:12.740,0:58:17.049

know the the the upside

0:58:17.420,0:58:23.690

is fun but the downside it becomes like

0:58:21.710,0:58:26.060

you-know-what Sorella sticks were a big

0:58:23.690,0:58:28.250

kind of thing for me and I would eat

0:58:26.060,0:58:30.140

them back when Wegmans had the open

0:58:28.250,0:58:32.750

buffet yes

0:58:30.140,0:58:34.010

like I’d buy like just feel like one of

0:58:32.750,0:58:36.580

those things with it and be like yeah I

0:58:34.010,0:58:39.170

mean no I mean I’m eating low carb and

0:58:36.580,0:58:41.480

then I see what my blood sugar did and I

0:58:39.170,0:58:42.710

was like I have not had one since now or

0:58:41.480,0:58:44.330

that is helped by the fact that they’ve

0:58:42.710,0:58:46.850

closed their open food buffet because of

0:58:44.330,0:58:48.650

the pandemic true but there have been

0:58:46.850,0:58:50.930

times when I was like really hungry and

0:58:48.650,0:58:53.540

I stopped I’m not gonna lie I stopped

0:58:50.930,0:58:55.460

and I kind of did what I did with that

0:58:53.540,0:59:01.340

with that other guys protein shakes and

0:58:55.460,0:59:02.630

horizont like now let me tell you from

0:59:01.340,0:59:05.600

someone who’s been trying to lose weight

0:59:02.630,0:59:08.780

for a while a version works a lot better

0:59:05.600,0:59:10.190

than willpower yeah yes you know it’s

0:59:08.780,0:59:12.470

the carrot and the stick it’s not

0:59:10.190,0:59:16.490

either/or and you look and it’s cool

0:59:12.470,0:59:18.290

about this is I guess this is a true

0:59:16.490,0:59:20.600

proper retrospective because we’re

0:59:18.290,0:59:22.760

meandering like we usually do because we

0:59:20.600,0:59:24.470

had no set topic we were just good

0:59:22.760,0:59:29.980

testing this thing out for five minutes

0:59:24.470,0:59:36.440

for your god here we are sometime later

0:59:29.980,0:59:38.260

but the part of this is is is the

0:59:36.440,0:59:43.180

instant feedback because by the time

0:59:38.260,0:59:46.130

weight is a lagging indicator right eat

0:59:43.180,0:59:48.350

you know chicken salad or chicken and

0:59:46.130,0:59:51.830

just salad and just really be good on

0:59:48.350,0:59:55.100

your diet for a week or two before you

0:59:51.830,0:59:57.190

with any progress on the scale right if

0:59:55.100,1:00:00.530

you see progress at all and that’s very

0:59:57.190,1:00:01.940

demoralize it is yeah in the obvious but

1:00:00.530,1:00:04.130

for me you feel like you’re getting away

1:00:01.940,1:00:07.310

with right I mean you you’re eating what

1:00:04.130,1:00:08.030

you want right right it’s not impacting

1:00:07.310,1:00:10.970

you

1:00:08.030,1:00:12.980

there’s rise great thing but this adds

1:00:10.970,1:00:15.260

more of a real time component because

1:00:12.980,1:00:17.720

your sugar responds within 20 minutes

1:00:15.260,1:00:19.280

and yeah I guess technically speaking

1:00:17.720,1:00:22.280

that’s not real time but 20 minutes

1:00:19.280,1:00:25.190

versus a few weeks that’s that’s a

1:00:22.280,1:00:26.870

quantum leap forward near real time it’s

1:00:25.190,1:00:28.280

near its you know I’m sure at some point

1:00:26.870,1:00:29.829

there’s going to be another one because

1:00:28.280,1:00:33.759

one of the debates now and the

1:00:29.829,1:00:38.380

low carb kind of keto world is you know

1:00:33.759,1:00:39.670

I drink too much dr. pepper one of the

1:00:38.380,1:00:42.009

debates now is you know does the

1:00:39.670,1:00:43.660

artificial sweeteners raise your insulin

1:00:42.009,1:00:45.219

which may not raise your blood sugar

1:00:43.660,1:00:47.410

because there’s no sugar there but does

1:00:45.219,1:00:51.579

it trick that and then so there’s a lot

1:00:47.410,1:00:53.799

of there’s a lot of debate about that so

1:00:51.579,1:00:58.539

you know one day maybe when they’ll be

1:00:53.799,1:01:00.549

like a CGM but you know for insulin you

1:00:58.539,1:01:03.489

know they’re that you know that would be

1:01:00.549,1:01:04.959

another thing too but you know so it

1:01:03.489,1:01:06.609

adds a more of a real time component

1:01:04.959,1:01:08.289

because like you know and I would eat

1:01:06.609,1:01:10.450

stuff that I wasn’t sure about and I

1:01:08.289,1:01:12.459

would do it you know with the with the

1:01:10.450,1:01:16.599

with the twinkling eye it’s for science

1:01:12.459,1:01:18.009

you know but to be fair if I did find

1:01:16.599,1:01:22.589

something really did spike my blood

1:01:18.009,1:01:22.589

sugar I wouldn’t have it again no you

1:01:22.859,1:01:32.289

know I’ve mostly been been good alright

1:01:31.059,1:01:35.619

so with that I think we’re actually

1:01:32.289,1:01:37.390

gonna end the show hopefully if all has

1:01:35.619,1:01:42.430

gone well you’re listening to this on

1:01:37.390,1:01:47.499

our podcast feed and this all worked the

1:01:42.430,1:01:48.099

way it’s supposed to and you have a

1:01:47.499,1:01:50.170

great day

1:01:48.099,1:01:53.079

any parting words of wisdom on this

1:01:50.170,1:01:55.209

three years or so of podcasting I know

1:01:53.079,1:01:56.440

Frank it’s just been great and I

1:01:55.209,1:01:59.769

appreciate you taking me a long

1:01:56.440,1:02:02.289

photograph dude dude I couldn’t imagine

1:01:59.769,1:02:03.969

a trip without you man we’re a good

1:02:02.289,1:02:06.549

balance in a lot of ways I’ve got a lot

1:02:03.969,1:02:08.709

of good game got yang because you know

1:02:06.549,1:02:10.479

part of the port thought I had was when

1:02:08.709,1:02:12.219

I started the podcast when I not when I

1:02:10.479,1:02:16.869

started when I had the first ideation of

1:02:12.219,1:02:20.859

it at Dunkin Donuts right right Dunkin

1:02:16.869,1:02:22.749

Donuts so here in Maryland or in DC area

1:02:20.859,1:02:26.949

it’s the Dunkin Donuts at the corner of

1:02:22.749,1:02:29.890

West orchard and Norristown Road are

1:02:26.949,1:02:36.339

behind the gas station and McDonald’s a

1:02:29.890,1:02:38.589

real luxurious place if you will but no

1:02:36.339,1:02:40.180

it was this like you know as I kind of

1:02:38.589,1:02:41.140

dwelled on the idea I didn’t think I

1:02:40.180,1:02:42.840

didn’t approach you and feel like

1:02:41.140,1:02:45.000

December so I got a room it

1:02:42.840,1:02:47.670

week or two if I want to do a podcast

1:02:45.000,1:02:49.740

what would it be and you know I didn’t

1:02:47.670,1:02:51.570

want you added more of the data

1:02:49.740,1:02:54.150

engineering kind of panache and

1:02:51.570,1:02:56.850

credibility then then I had which I

1:02:54.150,1:02:58.830

would have been in data science I think

1:02:56.850,1:03:01.730

I think we’re a good team for multiple

1:02:58.830,1:03:04.230

of us I think we’re great to you and I

1:03:01.730,1:03:07.860

and I love working with you brother

1:03:04.230,1:03:08.550

likewise man well cool you have a great

1:03:07.860,1:03:10.980

afternoon

1:03:08.550,1:03:12.750

well who knows when your listeners but

1:03:10.980,1:03:14.340

whatever remainder of the day it is I

1:03:12.750,1:03:17.520

hope you have a good one and we look

1:03:14.340,1:03:19.470

forward to helping folks and providing

1:03:17.520,1:03:22.200

you with good education and

1:03:19.470,1:03:24.300

entertainment and silly jokes and

1:03:22.200,1:03:27.990

ridiculousness and Maran meandering

1:03:24.300,1:03:30.180

stories for the next three years all

1:03:27.990,1:03:31.530

right thanks everyone all right I’m

1:03:30.180,1:03:33.950

going to try to shut this off and see

1:03:31.530,1:03:33.950

what happens

About the author, Frank

Frank La Vigne is a software engineer and UX geek who saw the light about Data Science at an internal Microsoft Data Science Summit in 2016. Now, he wants to share his passion for the Data Arts with the world.

He blogs regularly at FranksWorld.com and has a YouTube channel called Frank's World TV. (www.FranksWorld.TV). Frank has extensive experience in web and application development. He is also an expert in mobile and tablet engineering. You can find him on Twitter at @tableteer.

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