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Tesla Robotaxi | This Changes Everything.

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0:00

He just had to intervene.

0:03

>> Yeah.

0:03

>> Said stop in lane.

0:05

>> Oh man, did we just break a road taxi?

0:08

And what did we find out? Well, in this

0:10

video, I'm going to first of all shout

0:12

out Ellie in space. Thank you so much

0:15

for inviting me to Austin, Texas. I was

0:18

in Texas for a house hack project and

0:20

popped over to Austin from Dallas to

0:23

check out Robo Taxi. All thanks to

0:25

Ellien Space. So, shout out to her. Of

0:27

course, the Tesla team for actually

0:29

creating robo taxis. That said, we got

0:32

to talk about what happened on this

0:34

drive and what went right, what went

0:37

wrong, and then of course we get to talk

0:39

about the valuation of robo taxi. What

0:42

do we think this means for the stock?

0:44

Because that's what we care about. So,

0:47

first things first, meet Ellie.

0:49

>> Hey everyone, me Kevin here. I am in

0:51

Austin, Texas, and we're here with Ellie

0:53

in space. What's up? Hey, welcome.

0:56

>> Thank you. Thank you so much. We are

0:58

going to get into a robo taxi. Yes.

1:00

>> And that's what we do. We book a robo

1:02

taxi.

1:04

Anyway, so um you know, you can pick

1:06

basically anywhere in this area or you

1:08

can pick some of their pre uh you know

1:11

determined destinations. So book rides

1:14

$65.

1:15

>> Oh, the price went up. Okay.

1:17

>> Yep. And um

1:18

>> inflation ter

1:21

>> and uh Yep. And so if the car gets here,

1:23

it'll wait 15 minutes for us. So

1:25

>> Oh, that's actually like much longer

1:27

than the five minutes. Usually I get

1:29

>> ordering the ride was just like ordering

1:32

an Uber. Unfortunately, when it came to

1:35

finding the pickup, that was when things

1:38

got a little funky. Now, this could be

1:40

because Austin has a lot of run single

1:43

directional roads, so one-way roads, but

1:46

this is something that Tesla should be

1:49

aware of. And I do think the vehicle

1:52

should have taken a more convenient

1:54

pickup route choice, especially since we

1:58

pinned at the valet or a hotel, which is

2:02

a pretty common destination. That said,

2:06

let's get into the car. Let's see. What

2:09

does it say?

2:10

>> Please enter the vehicle. So, it must be

2:11

here.

2:12

>> Okay. Some

2:16

>> It is uh around the corner.

2:18

>> Is it this corner? Uh, Boba Steakhouse.

2:22

>> Oh, Bob.

2:23

>> Oh, Bob's steakhouse. That'll work. Boba

2:27

Bob, you know. Hey, a boba and steak.

2:29

That sounds kind of good, actually. I

2:31

don't know. Never had the combo before.

2:33

So, all right. So, we did request to do

2:35

the W, right?

2:36

>> We did.

2:37

>> All right.

2:38

>> So, I mean, I guess the building sort of

2:40

wraps around, but All right.

2:42

>> Yeah.

2:43

>> Um Oh, there he is all the way over

2:45

there at Bob's Steakhouse. Okay. Oh,

2:48

>> all right.

2:49

>> You know, I I'll get some steps in. You

2:51

know, I haven't gone on the treddy yet

2:53

today. So,

2:55

>> I'll let you in first then. There you

2:57

go.

2:58

>> My challenge.

3:03

>> Robo taxi. That's cool. All right.

3:07

>> So, close all doors. Fasten seat belts.

3:10

>> Does Does it know if I'm going to like

3:12

fasten or not? Let's

3:14

>> Yes, I think it does, actually.

3:15

>> Okay. You can try not to,

3:18

>> but I don't think it'll go.

3:21

>> Oh, wow. That was fast. That's intense.

3:24

Cuz I I just hovered it there for a

3:25

moment.

3:26

>> So, I will let you choose which one you

3:27

want to touch.

3:28

>> Um, I want to see the latency.

3:32

>> That's pretty good. I That's That's

3:35

impressive.

3:36

>> All right.

3:37

>> And so, this will be interesting cuz

3:39

this was the one where it couldn't take

3:40

me last time.

3:41

>> Okay.

3:42

>> So,

3:43

>> well, I guess we'll see what happens.

3:44

Yeah.

3:45

>> Arrives.

3:53

So, how hard is it just for giggles if

3:56

we're like, you know what? We changed

3:57

our mind. We want to go somewhere else.

3:59

>> By the way, I don't know what this is.

4:01

>> Oh, look at this. Enter a destination.

4:03

>> What?

4:03

>> Okay. All right. So, let's try

4:05

>> Oh,

4:06

>> let's try this. That takes us back this

4:09

way.

4:10

>> Oh, and that would be right on the edge.

4:12

>> Okay. All right. So, let's see what

4:14

happens. Okay. All right. Uh,

4:17

calculating.

4:19

>> Okay.

4:19

>> Okay. Well, you just taught me something

4:21

new. I not Okay. So, there's And then

4:24

let's see how, you know, what the car

4:25

does because obviously at this point

4:27

we've got to flip a UI here or or it

4:29

looks like it's going to make a right

4:31

turn up here. But that's interesting

4:32

because Yeah. So, this little um golden

4:36

text, just tap that and then you can

4:38

pick whatever location you want. for

4:40

much of this ride, most of which I

4:41

filmed with my iPhone and then of course

4:44

with the #notsponsored meta glasses.

4:47

Hate them for the AI. Love them for the

4:50

video and the pictures, the convenience

4:52

of them. But anyway, for most of the

4:54

ride, I things actually seemed pretty

4:57

chill. This seemed and felt like a car

4:59

that was on some form of enhanced

5:02

version of hardware 4. probably

5:04

something like a hardware 4 asterisk or

5:07

a hardware 4 o see the open AI borrow

5:10

there or a hardware 5. Anyway, point is,

5:15

it seemed very much like the comfortable

5:18

FSD that I feel like now I've grown up

5:20

with. From first using autopilot in 2017

5:23

in a Model X to getting to FSD on the

5:27

various different Teslas and seeing it

5:29

evolve and grow over time to going to

5:30

endto-end neural nets and then now being

5:33

in a robo taxi with, yes, a safety

5:35

driver. This felt very casual and

5:39

frankly up until now the safety driver

5:41

had to do nothing. And this is when we

5:43

decided, well, let's try to give this

5:45

app a little run for its money. And we

5:47

changed destinations, which I then

5:50

proceeded to do over and over and over

5:53

again. Right before my last change of

5:56

destination,

5:58

we ended up hitting a little bit of a

6:00

snag. And this is where we made a big

6:03

discovery about robo taxi.

6:06

>> Oh, this is perfect entertainment.

6:11

Oh,

6:11

>> there was just a shooting a few days

6:13

ago. Actually,

6:14

>> read national news.

6:15

>> Really? What got shot?

6:17

>> Um, a four-year-old granddaughter, a

6:20

grandpa, and a Target employee.

6:22

>> Oh my gosh.

6:24

>> Very sad.

6:25

>> That is all right. So, this is going to

6:27

be interesting. Yeah,

6:28

>> cuz I feel like

6:29

>> probably strategically a Uturn here

6:32

would be best.

6:33

>> Uh, I think it's trying to follow this

6:35

lead car. Yeah, it's following the car

6:38

into the parking structure. Stop in.

6:40

What does it stop?

6:40

>> He just had to intervene.

6:43

>> Yeah, it

6:44

>> said stop in lane.

6:45

>> It was going to follow the other car.

6:47

So, it still has the bias of a follow

6:49

car. That's interesting. Yeah.

6:51

>> How's your robot taxi?

6:53

>> Hello.

6:54

>> Your vehicles making uh or having

6:56

troubles making progress on it?

6:58

Um, I we just tried to route to Ziki and

7:03

it seems to be uh confused.

7:07

>> All right. Yeah, it looks like they have

7:09

a police blockade right there.

7:10

>> Uh-huh.

7:12

>> Correct.

7:12

>> Let's put you

7:14

>> Oh, he's moving

7:15

>> it. Uh,

7:16

>> maybe not.

7:17

>> He just Yeah, it's still blockade. Still

7:20

a blockade.

7:21

>> Although he is sort of moving the car. I

7:23

don't know exactly what's going on.

7:27

We have accomplished the drama.

7:30

I

7:30

>> feel like I always get Tesla support on

7:32

the line. What is going on?

7:33

>> It's you.

7:34

>> It literally is.

7:36

>> I'm like, jeez. And then these people,

7:39

we got

7:41

>> They're giving us the looks like,

7:42

"What's your problem?"

7:44

>> At least they can get through. They're

7:45

fine.

7:45

>> Yeah, they're fine. They're totally

7:46

fine. They don't have to give us the

7:48

angry look. Yeah.

7:49

>> The whale that picked me up parked

7:51

behind a car that was parked at

7:53

McDonald's. Just parked right behind it.

7:55

And I was like, that's kind of a dick

7:58

move.

7:58

>> Yeah.

8:00

>> Okay. So, so now

8:02

>> connected to support

8:03

>> remotely trying to figure out what do we

8:05

do?

8:05

>> Yeah.

8:06

>> So, that tends to

8:06

>> a U-turn.

8:07

>> Well, we're in a three-point turn.

8:09

That's

8:09

>> Yeah, right.

8:10

>> Back it up.

8:12

>> Go in. I wonder what this is about. The

8:14

blockade.

8:15

>> Gunshots.

8:17

>> Our Austin serial killer that doesn't

8:19

exist.

8:22

>> I don't know if we've heard about that

8:23

lore. Okay, so here we go. Okay. All

8:25

right. That sounds fancy.

8:26

>> Good to support.

8:27

>> And now this guy.

8:28

>> Oh my god, there's a bus behind us.

8:33

>> Oh, wow. It's even doing it.

8:35

>> I would suspect this is tea operated at

8:39

this point. That bing bing.

8:40

>> Yeah,

8:41

>> I that's my guess, which is fine.

8:44

>> Um and this is this is a definitely an

8:47

edge case.

8:48

>> Yeah,

8:48

>> but that follow car I think was

8:50

something to observe.

8:52

>> Yeah.

8:55

Well, and I wonder Okay,

9:00

that's the funny thing is like,

9:02

>> go ahead, pull me over.

9:03

>> Yeah, please. I I'd love to get pulled

9:05

over in a robo taxi.

9:10

>> Welcome to Austin.

9:13

See, the longer you stay in the car,

9:15

there's bound to be a little bit of

9:17

drama.

9:17

>> Yeah, just keep rening.

9:19

>> But, I mean, okay, it kept us safe.

9:22

>> It did. They did have to intervene.

9:24

>> That's okay.

9:25

>> But you know like this is not rolled out

9:28

as as Whimo is right now. So it's like

9:31

these are important things to point out.

9:34

>> Yeah. So it seems like the same bias

9:36

that we actually have in our FSD

9:40

versions of preferring a follow car or

9:45

in other words preferencing or biasing

9:48

to follow another vehicle assuming the

9:51

other vehicle is going to be a tool to

9:54

help get you out of a sticky situation

9:56

is the same bias that exists here in

10:00

FSD. Now, usually this isn't a problem

10:02

because cars generally just follow the

10:06

navigation path, but in this case, we

10:09

did have a situation where the robo taxi

10:13

wanted to follow another car into a

10:15

parking structure, which was the wrong

10:16

decision in this case. So, I don't know

10:19

if there's a waiting towards bias

10:22

towards a follow car. If you get in a

10:25

sticky situation, there probably should

10:27

be a different bias because in this

10:30

case, we got stuck with tech support.

10:34

Now, I have to say getting stuck with

10:35

tech support was actually kind of cool

10:37

because it seemed like we heard this

10:39

sort of chime of FSD turning on for a

10:43

teleoperator, uh, which I'm presuming

10:45

was a teleoperator since our safety

10:47

driver manually paused the ride. Uh, and

10:51

then the vehicle proceeded to make a

10:53

very cautious sort of three-ish point

10:55

turn to U-turn out of there, which is

10:58

exactly what you would expect a tele

11:00

operator to do because that's what a

11:02

human would do. Okay, roads blocked,

11:04

threepoint turn or U-turn and get out of

11:07

here. So, this was very normal and very

11:09

natural. Now, what does this mean for

11:13

Robo Taxi in general? And how did the

11:16

rest of the ride go? Perfectly. Frankly,

11:19

the ride itself was amazing. I didn't

11:21

have to deal with an Uber driver trying

11:24

to talk to me. I didn't have to deal

11:25

with an Uber driver chewing popcorn

11:28

loudly.

11:30

I had that like at the same day that I

11:32

was in Austin. It was the most miserable

11:34

experience because I wasn't sure how to

11:36

politely tell them like not to eat cuz

11:39

it's their car, but then also like could

11:41

you chew less loudly, but then is that

11:43

rude? Should I just suck it up for the

11:44

next minute or 10, you know, 10-minute

11:47

ride or whatever it was? It It was a

11:50

painful situation for me. I don't know.

11:52

Those those were some pretty loud

11:54

munching sounds and and you know, not

11:56

not my favorite. Anyway, I'll put that

11:58

behind me. But let's understand this is

12:02

a car that essentially outside of a

12:05

police blockade, which was a total

12:07

fluke, performed really well. I felt

12:11

comfortable in the car. I didn't have to

12:12

talk to anyone other than the person

12:14

that I wanted to talk to, which was the

12:16

passenger I was riding with. I didn't

12:18

have to engage with uh anyone for, hey,

12:22

I'm going to change the destination. I

12:24

could do it all through the app. I could

12:26

control the climate the way I wanted it.

12:28

Everything is essentially functional.

12:32

Well, with the exception of the internet

12:33

access, which wasn't working, so we

12:35

couldn't really stream YouTube or get

12:37

up. But that's okay. We get enough of

12:39

that anyway. uh and so really very

12:43

pleasant experience with robo taxi

12:46

overall. Now the risk factor that we run

12:50

into with robo taxing is obviously that

12:54

these sort of edge case scenarios become

12:58

commonplace because if edge case

13:00

scenarios become commonplace then what

13:03

happens is you end up with the

13:06

perception that this is a novel

13:07

technology but it is a risky technology

13:10

that if there's some edge case scenario

13:13

you're going to end up getting delayed

13:14

you're going to miss your Pilates class.

13:16

you're going to miss your appointment,

13:17

you're going to miss your work meeting,

13:19

whatever. That is a real risk to the

13:22

future of robo taxi. Also, another risk

13:26

would be the delayed removal of the robo

13:28

taxi safety driver because frankly the

13:31

safety driver is expensive. And then of

13:33

course another risk would be some form

13:35

of delayedwide expansion. But outside of

13:38

these risks, because I do think they are

13:41

risks, but I do think that at some point

13:43

they will go away. I think we will have

13:46

a wide expansion of robo taxi. I think

13:48

we'll get rid of the safety driver and

13:50

we'll probably get to purely

13:52

teaoperated. I mean really all the

13:55

safety driver did in our case was take a

13:57

situation where it was obviously stuck.

14:00

It could have remotely said, "Hey, I'm

14:02

stuck. Should I bias and follow this

14:05

lead car or should I just stop?" And a

14:08

teleoperator could have taken over at

14:10

that point. you really didn't need

14:12

somebody in the car. Like the safety

14:14

driver already in my opinion feels

14:17

redundant and not necessary. Like no

14:21

offense to the individual who was with

14:23

us. This is just sort of broadly I feel

14:25

like they're mostly redundant. We don't

14:28

already need them at all which is great

14:31

because that all comes into the

14:33

valuation for the actual stuff. Now this

14:35

is predicated on Tesla actually fixing

14:38

how they bill. Right now, if you change

14:40

destinations, it will only charge you

14:43

for your last ride. So, we were in the

14:45

car for 36 minutes and only got build

14:48

$4.17

14:50

because our last destination was pretty

14:52

close to our final destination.

14:54

>> Ride history.

14:57

>> Oh, so it it only charges us 4.7. Wait,

15:01

>> it Oh, that's a bug. They only charged

15:03

us the final destination even though we

15:05

rode for 34 minutes,

15:07

>> which to put it Yeah. To put it into

15:09

perspective, I think my 15minute rides

15:12

for Uber were $40 each way. Yes. Or no,

15:15

Whimo. Whimo.

15:16

>> That should have been $50.

15:17

>> $40 each way.

15:18

>> Yeah.

15:19

>> What?

15:20

>> That's crazy.

15:21

>> So, this should have been actually

15:22

closer to 80 if it were San Francisco

15:25

prices.

15:25

>> 100%.

15:26

>> That's nuts. So,

15:28

>> all right. Well, there it is.

15:29

>> You don't owe me anything.

15:30

>> No, stop. I'll make sure you get to 420.

15:32

>> Yeah. Yeah. This is where things get

15:34

really interesting because something

15:36

that you need to know about robo taxis

15:38

is robo taxis will never have a

15:40

valuation like an Uber because the

15:43

reality is with a robo taxi the revenue

15:46

isn't going to the Uber driver. That

15:50

money that's being made for the drive is

15:52

going to Tesla which means the Tesla

15:55

shareholders are the ones who benefit

15:57

from the rides. It's kind of like hiring

16:00

a fleet of terminators to go work for

16:02

you and then you are reaping that return

16:05

on investment. That is the big

16:07

difference here between Tesla and Uber.

16:10

Tesla is not another Uber. Tesla is not

16:12

just creating an app and a platform for

16:15

other people to go make money on your

16:16

platform. That's like Upwork. Tesla

16:19

instead is creating an army of

16:21

terminators to go do an Uber service and

16:24

replace the Uber infrastructure.

16:27

That is pretty remarkable. Now, we have

16:30

to make assumptions when it comes to

16:32

math here. So, obviously, everybody's

16:34

going to have a different opinion on

16:35

assumptions, but I actually think the

16:38

numbers are pretty optimistic. So, take

16:40

a look at this. If a robo taxi does 1

16:43

million trips per day, you know, maybe

16:44

we use 50,000 uh vehicles doing 20 trips

16:47

per day. Uh I like to assume a revenue

16:51

per minute of about $1. However, I water

16:54

that down to only 30 cents uh with uh

16:58

and the reason I do is I assume a 30%

17:01

utilization because I think 70% of the

17:03

time you're going to be either empty

17:05

lagging to get to your next sort of

17:08

customer waiting for a customer order

17:10

because you want cars available when

17:12

people click, hey, I want a ride. You

17:15

want a car ready. So, that means there's

17:16

going to be some waiting time. So,

17:18

there's waiting time and there's empty

17:19

leg time. Uh then you also have cleaning

17:22

time and charging time. So in my

17:24

opinion, you've got maybe 20 minutes of

17:27

utilization of these vehicles per hour.

17:29

Now with that said, I think that each

17:32

robo taxi trip will probably be on

17:34

average about 10 minutes. I think Uber

17:37

trips are a little on average longer

17:39

because they're not geoence to cities.

17:41

And maybe in the future, e as we have a

17:44

broad expansion, I could take a, you

17:46

know, a Tesla robo taxi from LA to

17:48

Vegas, but I think that'll be way down

17:51

the road. I think at first we'll stay,

17:53

we'll have like a broad release and

17:55

we'll have robo taxis in San Francisco

17:57

and LA and Chicago and New York, but

18:00

they'll all individually be in their

18:02

little radi, so to speak, so they can

18:04

always go home and charge and they have

18:05

sort of their little base. That will

18:07

change in the longer term, but anyway,

18:09

that's where I'm going with 10 minutes.

18:10

If you want to change the assumption,

18:11

change the assumption. Okay. So then

18:14

with a safety monitor, let's not even

18:16

talk about this. The costs are just like

18:17

really really bad if you have a safety

18:19

driver, which I think is mostly

18:21

redundant. So I I don't even like

18:23

talking about it because we don't even

18:25

need them. But it's extremely expensive

18:28

to pay somebody probably, you know, 20

18:31

bucks an hour in a wage plus workers

18:34

comp plus uh the liability

18:36

insuranceances and all the nonsense and

18:38

the training and the paid time off and

18:40

all the headache that goes with having

18:42

employees. You're probably frankly

18:44

looking at 30 to 40 bucks an hour for

18:47

that person plus the tea operated staff

18:50

plus all the oopsies and incidentals and

18:52

crap. I really think you're probably

18:55

with safety monitors just purely losing

18:58

money. Now, we're doing it right now

18:59

because we know that if there's one

19:01

oopsies with the robo taxi, then the

19:04

stock's going to plummet by, you know,

19:06

10 years worth of safety monitor costs.

19:09

Elon knows that. Everybody knows that,

19:11

right? So, that's why there's a safety

19:13

monitor. But to actually fundamentally

19:15

understand this, you have to do so

19:17

without the cost of the safety monitor,

19:18

which really based on my experience

19:20

already, I think is mostly redundant.

19:21

the tele operators can do pretty much

19:23

everything. That said, if I do not

19:26

consider cap X uh as in investing into

19:29

the actual vehicles and maintenance and

19:31

charging, although charging would be

19:33

more of probably an opex as maintenance

19:36

would be, but that's fine. The numbers

19:38

aren't too terribly different. Just keep

19:40

this in mind. Just purely thinking about

19:42

robo taxi revenue minus staff costs. So

19:46

revenue at, you know, a buck a minute,

19:49

30% utilization, costs at about 10 cents

19:52

for the teleaoperated staff per minute

19:55

because they can handle multiple at a

19:57

time. They're not needed all the time.

19:59

You get the benefits of AI and all the

20:01

other nonsense. Uh, at 50 times price to

20:04

earnings, you probably have with a

20:07

million robo taxi rides per day, only

20:09

about $10 of share impact in value.

20:12

That's nothing. That's not really worth

20:14

it. You really have to get to the right

20:15

columns for this to be valuable, which

20:17

it gets very valuable very quickly. If

20:20

you take off depreciation and some of

20:21

the opex, I think then you'll be down at

20:23

closer to $7.50. Not that much. Now,

20:27

where you got to get to is about 10

20:29

million vehicles per day because that's

20:30

when it starts looking or rides per day.

20:32

That's when you take the same numbers,

20:34

you extrapolate it by 10, and you get

20:36

about $75 per share in value for a robo

20:40

taxi network. That's after, you know,

20:42

depreciation and and some of these other

20:44

expenses. That's actually pretty decent.

20:47

Unfortunately, today, I think that the

20:49

market is pricing in that we're going to

20:51

replace pretty much all Uber rides at

20:55

about 30 million rides per day, and this

20:58

is in like 70 different countries. So, I

21:00

think the markets are probably over

21:02

here. You know, you put about 100 bucks

21:05

on the manufacturing side, and then

21:06

maybe $220 for the robo taxi. Although

21:09

you got to throw some Optimus in there,

21:11

although that's, you know, that's that's

21:12

many years out. You know, you could

21:14

throw Optimus and insurance and

21:16

semi-truckss and all that into sort of

21:18

the future icing on the cake bucket. But

21:20

markets right now are probably over here

21:22

on the right side because markets are a

21:24

little just sort of euphoric and excited

21:26

right now. So, you know, a lot of value

21:28

is probably already priced in. But the

21:30

point is,

21:32

just forgetting about the share price

21:34

for a moment, there's actually a lot of

21:37

serious potential earnings per share

21:40

that we could make with robo taxi. And

21:44

my bottom line is we don't need the

21:46

safety driver. We could make 21 cents a

21:50

share with a million rides a day, two

21:52

bucks with 10 mil, 643 with 30 mil. Like

21:57

we'll be somewhere in this range. It's

21:59

going to make money as soon as we get

22:00

rid of those safety drivers, which we

22:02

will. Again, we don't I don't even think

22:03

we need them right now. Even with the

22:05

edge case scenario I saw, at no point

22:07

did I feel uncomfortable. I felt very

22:09

happy and excited about this. This is

22:11

actually better than I expected. So,

22:13

congratulations to the Tesla team. This

22:15

is very exciting. Frankly, all without

22:18

liar. So, go Tesla, go Elon, go robo

22:22

taxi.

22:23

Have hands down better than expected.

22:28

Does that mean stock is a screaming buy

22:30

right now at these valuations?

22:32

Ultimately up to you. Anyway, thanks for

22:35

watching. Check out House Hack, my real

22:37

estate startup. And we'll see you in the

22:40

next one.

22:40

>> Very, very cool. Thank you so much. How

22:42

do people follow you?

22:43

>> Oh, they can find my YouTube channel,

22:45

Ellie and Space, or ES TV on X. I'm also

22:49

on X.

22:49

>> Awesome. Thank you so much.

22:51

>> Thank you. And you know, I I hope you

22:54

can ride in a Whimo, too. I I would

22:55

recommend it.

22:56

>> Thank you. Why not advertise these

22:57

things that you told us here? I feel

22:59

like nobody else knows about this.

23:00

>> We'll we'll try a little advertising and

23:02

see how it goes.

23:02

>> Congratulations, man. You have done so

23:04

much. People love you. People look up to

23:06

you.

23:06

>> Kevin Praath there, financial analyst

23:08

and YouTuber. Meet Kevin. Always great

23:10

to get your take.

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