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Trump's Absolute Hell | Meet Kevin Report 3 [Jan 8]

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FULL TRANSCRIPT

0:00

Donald Trump is lashing out against

0:02

California thanks to the California

0:05

wildfires we have a lot to talk about

0:07

regarding the California wildfires but

0:09

first we're going to talk about how the

0:10

Chinese macroeconomy could end up

0:13

affecting the United States via a

0:14

deflationary spiral talk briefly about a

0:18

bubble warning but also some bullish

0:21

talk to offset this we'll talk about the

0:24

Federal Reserve minutes as well as

0:26

Quantum computing's crash today we'll

0:29

talk about battle going on between

0:31

Jensen and d-wave will go deep into why

0:35

Donald Trump thinks we should take over

0:38

Greenland which yesterday came with

0:40

confusion but today comes with a lot of

0:43

clarity we'll also talk crypto on

0:46

today's meet Kevin report news that

0:50

makes you money well let's get started

0:54

first on macro there is talk bullish

0:57

talk that by TS Lombard that we don't

1:00

need rate Cuts in 2025 because quite

1:03

frankly everything is going to Boom in

1:05

fact China is going to return demand to

1:09

the United States that we're already

1:11

seeing bullish ordering from Chinese

1:13

firms and sales by Chinese firms to

1:15

foreign countries and that's going to

1:17

end up resulting in even more of a boom

1:21

in the United States for 2025 now sure

1:24

under Trump you should expect higher

1:25

volatility but strong corporate

1:27

fundamentals will be supported by

1:29

potential cuts to the corporate tax rate

1:32

and we're going to be sticking with

1:33

higher for longer which could cause the

1:35

nation's home builders to underperform

1:38

this is a thesis put out just today by

1:41

an analytical company called TS Lombard

1:44

now this is offset by at the same time

1:46

Bloomberg citing that China's economy is

1:49

so pessimistic that the bond market is

1:52

essentially assuming that China's

1:54

economy is going to a deflationary 1990s

1:59

stop

2:00

recession depression or deflationary

2:04

spiral one of the ways that you could

2:06

look at this bond market in real time is

2:09

simply Google the Chinese 10year

2:12

government bond yield and if you go out

2:15

to the little fiveyear chart you could

2:16

see this collapse in the five in in the

2:19

10-year Government Bond No matter how

2:21

much you zoom out we've never actually

2:23

seen Chinese debt this low yielding this

2:28

is a potential sign that investors in

2:30

China are fleeing out of risk assets and

2:33

real estate and factories and

2:35

consumption assuming that we're going to

2:37

have deflation and they're trying to get

2:39

any yield they can get their hands on so

2:42

that way their money grows see the

2:44

downside of deflation is usually when

2:47

you have deflation everybody hoardes the

2:49

money they have you end up creating a

2:51

depression because why would you buy

2:54

that iPhone today if you could just wait

2:57

a year and it's 20% cheaper iPhone might

3:00

not be the best example because they

3:01

come out with a new one every single

3:03

year anyway but the thesis applies to

3:05

Machinery cars corporate expenses why

3:09

buy today if it's going to be cheaper

3:11

tomorrow that would lead Chinese GDP to

3:14

rapidly UND shoot expectations that they

3:17

can get 5% growth and people believe

3:20

that a deflationary spiral in China is a

3:23

caused by Massive overbuilding of

3:25

Manufacturers that there's just way too

3:27

much excess Supply now remember in Co we

3:29

had too little Supply now they're like

3:31

too too much Supply uh but some people

3:34

say while it's good that it could export

3:36

deflation to us it's bad because if

3:40

China contributes to the global economy

3:44

less then you could see European markets

3:47

and other countries slow down China also

3:50

buys stuff from our companies we're

3:53

going to think for example uh Quantum uh

3:55

or sorry not we're going to talk quantum

3:57

computers in just a moment think qual

4:00

somewhere around 45 to 65% of their

4:03

revenues go to China around 20% of Tesla

4:06

revenues come from China uh Apple about

4:09

18 to 20% of their revenues from China

4:13

so if China slows down there's a fear

4:15

that a lot of large corporations

4:17

including our mag sevs could get hit

4:20

with limited sales because people are

4:22

spending less money in China but as you

4:25

can see there's a lot of this sort of

4:28

Wait and See For What what's going to

4:30

happen with China and Trump tariffs look

4:32

for example at this in December China's

4:35

growth has likely continued stabilizing

4:37

with some marginal data Improvement in

4:39

select areas thanks to a new round of

4:41

policy easing since September this has

4:43

supported a rebound of GDP growth in Q4

4:46

however markets remain cautious on

4:48

China's economic fundamentals waiting

4:50

for more updates on China's easing

4:52

measures as well as Trump tariffs in

4:55

December major activity growth data has

4:58

likely improved however deflationary

5:00

pressures could linger with a decline in

5:02

CPI inflation and deep PPI producer

5:06

think manufacturing deflation remember

5:08

deflation again generally is associated

5:10

with a slowing economy this is why you

5:13

try to calibrate inflation around two

5:16

percentage points and again people buy

5:18

bonds so that way they can at least

5:21

capture some yield especially since the

5:24

Chinese stock market so far this year

5:26

isn't off to the best start it's

5:28

basically been read every single day you

5:31

can also see that even China's 30-year

5:34

bonds have fallen and tumbled now with a

5:37

lower yield than what Japan offers you

5:40

could hear see it's a downward spiral

5:42

that will keep getting worse if it's not

5:44

corrected there's a psychological

5:46

element to Japan's lessons where the

5:48

longer this persists the weaker business

5:51

and consumer confidence gets in other

5:53

words the longer China waits to actually

5:57

properly prop up the Chinese economy

5:59

with the appropriate amount of stimulus

6:02

the worse it gets the more businesses

6:04

are damaged and the more businesses just

6:06

say I've had enough I'm going to wait to

6:09

spend money and we're going to save that

6:11

saving mentality is quite the opposite

6:14

of what you see in the United States

6:15

where our economy is still in spend

6:17

spend spend mode which is great but may

6:22

not last and that's where you have some

6:25

folks who say we're actually in a bubble

6:29

environment now this isn't everyone but

6:31

there was a bearish institutional letter

6:33

out today uh by this uh author called

6:36

Owen nomic I never actually heard of

6:38

this person before this letter uh and

6:40

like I said TS Lombard was really

6:42

bullish on China you also had worth

6:44

noting credit agricol agrial pretty

6:47

bullish they uh don't expect a Federal

6:50

Reserve cut in January they think that

6:52

uh jobs data absent a big surprise to

6:55

the downside will just end up confirming

6:57

the Federal Reserve is not going to cut

6:59

they're forecasting 145,000 jobs for

7:01

this Friday jobs report at credit

7:03

agricult which is slightly less than

7:05

what Market participants are forecasting

7:06

closer to 160k but still a lot better

7:09

than something sub 100 that would be

7:11

more recession fear

7:13

inducing ultimately credit agrial says

7:17

this indicates a labor market that is

7:18

clearly cooled but is not fallen off a

7:20

cliff now we've talked about this in

7:22

Prior videos that you're really not

7:23

going to see the labor market roll over

7:25

until you have layoffs and as long as

7:28

corporate profits keep going like TS

7:29

Lombard says they might yeah we could

7:32

potentially keep seeing higher yields

7:34

and hopefully highering rebounds because

7:36

frankly nobody wants to go through a

7:38

recession anyway onomics writes that we

7:41

are in the middle of a quote raging

7:43

Bitcoin bubble the stock market or quote

7:47

at least The Lunatic Fringe of meme

7:49

stocks and crypto related firms is not

7:51

far behind the individual provides Seven

7:54

Pillars of uh identifying when you're in

7:57

a bubble one of them is that bubbles

8:00

involve irrational optimists basically

8:02

in his words idiots who create

8:04

market-wide bubbles or mispricings that

8:07

could actually potentially last four

8:09

years he then says that this there's

8:12

this utopian idea that everybody should

8:14

be able to get rich and that also

8:16

happened in 1929 when everybody wanted

8:19

exposure to stocks and then guess what

8:21

everybody got poor over the next years

8:24

as the Great Depression took hold he

8:26

says that nobody knows with certainty if

8:28

Bitcoin is going to keep going up and

8:30

anybody saying otherwise is just part of

8:32

the lunatic F frenzy a fanatic won't

8:34

change his mind either he's sort of

8:36

really anti Bitcoin Maxi this person

8:39

really seems like like they're bears and

8:41

then they are just people that just show

8:42

up like once in a while and they're just

8:44

mega mega bears but I guess we don't

8:47

have to be mean to him we just quickly

8:48

get through what he's saying here uh he

8:50

argues that bitcoiners who are really

8:52

Pro Bitcoin just work to confuse people

8:55

and then claim you don't understand

8:57

Bitcoin and the more they can confuse

8:59

you the better Bitcoin is and after all

9:01

this time is different and the numbers

9:02

keep going

9:03

up okay so obviously a bakeley bear

9:06

there uh so you can see there are a lot

9:08

of mixed opinions on what's going on in

9:10

the market obviously this job sta is

9:12

going to be very important on Friday

9:14

it's also worth noting that the stock

9:15

market is going to be closed tomorrow

9:17

which I did discuss this morning in my

9:19

course member live stream as we're

9:20

reviewing some of the initial data that

9:22

was coming out this morning uh doing our

9:23

fundamental analysis as we usually do

9:25

and uh I mentioned this in the alpha

9:27

report as well this morning the stock

9:28

market is going to be closed

9:30

uh and so really any of the trading that

9:31

happened today which I thought the

9:33

market might end up being somewhat flat

9:34

in anticipation of this is based on what

9:38

people think the jobs Market is going to

9:41

deliver to us on Friday and so far

9:44

people are actually kind of bullish I

9:45

mean yeah last month we got 227,000 that

9:48

might get revised down this month we're

9:50

expecting exactly 165,000 a 4.2

9:53

unemployment rate average hourly

9:55

earnings at. 3% slightly down from the

9:57

04 last month and we expect average

10:00

weekly hours by all employees to be at

10:03

34.3 same as before with a stable labor

10:06

force participation rate we'll see see

10:08

what ends up happening Friday but again

10:10

we won't get to trade on it on Thursday

10:12

we'll still provide a meet Kevin report

10:13

though as there is more news that

10:15

happens than just market news but first

10:18

before we get to the non-market news we

10:20

really got to get into talking about

10:21

quantum computers because Quantum

10:24

Computing stocks absolutely got

10:25

destroyed today

10:30

look at this uh d-wave Computing down

10:33

36% today Quantum Computing down

10:36

43% another one that I mentioned in

10:39

another meet Kevin report was RR uh Rin

10:42

Tech robotics they got wrecked today

10:44

down 18% and I was bearish on them as

10:46

well but anyway why is this company down

10:49

36% for example I mean look at this this

10:53

stock went from under a dollar to a peak

10:55

of

10:56

$11 what was the Catalyst the catalyst

10:59

was Google's announcement of a Quantum

11:02

Computing chip and so this led to this

11:05

surge that everybody wanted to get into

11:08

Quantum Computing because Google said

11:10

the path has been paved for the useful

11:13

usage of large scale quantum

11:16

computers okay so that led to a

11:19

ridiculous rally in Quantum Computing

11:21

companies which have mostly very

11:23

terrible fundamentals which we'll talk

11:24

about in just a moment but what led to

11:26

the selloff the market all of a sudden

11:28

recognizing

11:29

fundamentals No in fact if the market

11:32

understood fundamentals they probably

11:33

wouldn't be investing in d-wave anyway

11:35

because it's a different kind of quantum

11:37

Computing technology than what Google

11:39

creates we'll talk about the difference

11:41

in just a moment I'll explain it to you

11:42

so it's kind of funny actually that on a

11:45

totally different type of quantum

11:47

technology an unrelated company would

11:49

rally but it's because it has Quantum in

11:51

the name and frankly that's good enough

11:52

for most people's due diligence when it

11:54

comes to momentum but that's why we do a

11:56

meet Kevin report to try to provide you

11:58

the intelligence to separate these

12:00

things anyway the reason these stocks

12:02

started falling is because yesterday

12:04

Jensen mentioned it could take

12:06

potentially as long as 15 years at the

12:08

earliest or on the early side for very

12:11

useful quantum computers and potentially

12:13

as long as 30 years though that would be

12:15

more on the late side now the CEO of

12:18

d-wave went on CNBC today to complain

12:21

basically said look we've already got

12:22

customers like MasterCard and and we're

12:24

doing a great job with our quantum

12:26

computers already in production today uh

12:28

and ultim Ely he talked about the

12:30

difference very briefly between gate

12:33

based Quantum Computing and analed

12:35

Quantum Computing now while he tried

12:37

brushing off that the quantum Computing

12:39

they use is just for optimization

12:41

purposes that's basically what it is let

12:43

me give you a quick understanding and a

12:45

quick primer on the two different types

12:47

of quantum Computing because I think

12:49

it's going to help you really understand

12:51

what to expect in the long-term future

12:54

what to pay attention to and okay that's

12:57

weird breaking person arrested after

13:00

attempting to enter US capital Visitor

13:02

Center with machete knives in

13:05

bag uh 2025 is something else anyway all

13:08

right so there are two types of quantum

13:10

Computing there's something known as a

13:12

gate-based quantum computer a gate based

13:15

quantum computer is kind of like your

13:17

classic computer except really really

13:19

fast and it's really good at

13:22

puzzles with very very low error rates

13:27

puzzles would be kind of like like what

13:29

you need to solve using what we like to

13:32

call the Shores algorithm kind of like a

13:34

Quantum algorithm uh to break into

13:38

cryptography like

13:41

256 or some of the uh cryptography we

13:46

use for various different uh security

13:49

system cyber security um uh Bitcoin

13:53

cryptography you name it these

13:55

algorithms can be broken potentially by

13:58

the these quantum-based computers using

14:01

gate-based puzzle-based approaches so

14:04

when you think gate based just think

14:06

puzzle they're trying to with a very

14:08

very low error rate puzzle together a

14:11

mathematical solution in a much faster

14:14

way than traditional computers can do

14:16

today today for a computer to break like

14:18

an sha uh you know 256 encryption it

14:22

could take hundreds of years maybe even

14:25

thousands of years to actually break

14:27

these encryptions this is why there's so

14:29

secure this is what cryptography is and

14:33

that's actually what crypto basically

14:35

was based on was the idea of encryption

14:37

right anyway so breaking this would take

14:40

a very long time but the thesis is that

14:42

a quantum computer could build the

14:44

puzzle out of breaking these security

14:47

algorithms rapidly potentially as

14:50

quickly as 20 seconds but I want you to

14:54

understand the difference between the

14:55

chip that Google came out with and the

14:59

the chip that would be required to

15:00

operate for 20 seconds to actually be

15:03

able to break let's say bitcoin's

15:05

algorithm all

15:07

right the chip that Google came out with

15:11

the willow chip has about 105 cubits

15:16

these are physical cubits not logical

15:18

cubits that's that's another thing you

15:20

need a certain amount amount of actual

15:22

physical cubits to reduce the errors and

15:27

increase the stability of the puzzle

15:30

formation of quantum Computing to

15:33

actually have a functional Quantum

15:35

Computing machine it doesn't have to

15:37

work that long and so the willow chip

15:40

operated for about 100 micro seconds

15:44

with 105 different well 105 cubics

15:48

cubits there we go that's 100 in case

15:51

you haven't heard of the phrase before

15:52

microsc that's .1 millisecond okay well

15:56

if you need 20

15:59

seconds you would need somewhere around

16:02

400 of these chips to actually be

16:05

functional quick math 20 seconds divided

16:09

by .1 millisecond is

16:12

200,000 so you need

16:15

200,000 times the compute efficiency of

16:19

the willow chip to break crypto or

16:23

cryptography if you could even pull it

16:25

off in 20 seconds in the future this is

16:27

why Jensen says we're 15 to 30 years

16:30

away now on a more practical basis

16:33

people think we need about 400 times the

16:37

cubits that Google put together in the

16:39

willow chip to even get close to having

16:42

a hope of breaking these sort of

16:44

cryptography so Willow's Quantum chip is

16:48

really just a research step in the right

16:51

direction that they had a stable quantum

16:53

computer for 0.1

16:55

milliseconds is that actually functional

16:59

no but from a research point of view it

17:01

is fantastic Okay cool so all of that is

17:05

gate based Quantum Computing so what are

17:09

existing Quantum Computing companies

17:11

using like d-wave d-wave uses a Quantum

17:15

Computing process known as

17:17

annealing the easiest way to think about

17:20

this is rather than starting with a

17:21

messy puzzle and trying to put it

17:23

together imagine just sort of like

17:26

pouring water down a mountain and then

17:29

whichever path the water goes the

17:32

fastest is the way the energy goes for

17:34

the quantum computer and I'm way

17:35

oversimplifying this okay and that's

17:38

your optimized

17:39

path so what is that useful for well

17:43

it's really useful for really specific

17:45

purposes like planning delivery routes

17:48

at UPS scheduling

17:51

workers and protein folding maybe even

17:54

some Finance these are not general

17:56

purpose quantum computers they're very

17:59

very specific purpose computers they're

18:01

not a threat to cryptography they're

18:04

like the opposite of gate based right

18:07

analing is is a totally different

18:10

technology so notice how Quantum

18:13

Computing via the willow chip got you

18:16

something that was you know 12

18:18

200,000th as good as what you really

18:20

need to do what the magic of quantum

18:22

computers can do and it was a research

18:25

milestone in Gate based computing and

18:29

the actual stocks that were just going

18:31

up are a ne-based Quantum Computing

18:35

optimization

18:37

companies this is why Nvidia says we're

18:40

15 to 30 years away fun note though

18:43

Nvidia is hiring Quantum

18:45

Engineers I did also though take a very

18:47

brief peek at the d-wave fundamentals I

18:49

don't want to say this is a deep dive at

18:51

all because it's not this is just super

18:53

surface level uh but yes the stock did

18:55

run up a lot after the willow chip uh

18:59

numbers but take a look at uh some of or

19:02

the willow chip announcement I should

19:04

say some of their financials they lost $

19:06

44.6 million in free cash flow in 24 $46

19:10

million in 2023 their revenue in the 3

19:14

months ending in uh September so Q3 was

19:17

down 27% from last year in fairness

19:21

their revenue year-over-year was up

19:23

slightly from last year uh if you look

19:27

at the 9 month month portion they're up

19:30

about 11% over here though I do think

19:32

it's interesting that year-over-year

19:34

their sales and marketing expenses

19:37

exploded their sales and marketing

19:39

expenses are up

19:42

51% and their R&D expenses in that

19:46

quarter are and on the year-over-year

19:47

basis are actually down so they're

19:50

spending a lot more money marketing

19:52

their product and less money researching

19:54

their product and more money on GNA and

19:57

so that's why they're lost actually

19:59

ended up growing when you compare year

20:01

toe further loss on operations if you

20:04

look at their balance sheet to me it

20:06

seems like they've got less than a year

20:07

of actual cash flow left and if you just

20:09

look at their payables they've got just

20:12

enough money to really cover a year and

20:14

a few months but they're going to have

20:15

to raise some money it would be a

20:17

perfect time to raise some money now

20:18

given that their stock has MD up so

20:21

we'll see what happens anyway look I'm

20:23

not the best at giving you the greatest

20:25

Deep dive in Quantum Computing so if

20:28

somebody can give a refined explanation

20:31

on this in the comments I'm happy to

20:32

hard it or pin it or whatever but I

20:34

wanted to give that as a breakdown

20:37

because I think it's really important to

20:38

know when you hear Quantum Computing

20:40

this is going to give you a lot more

20:42

perspective ah okay different types of

20:44

quantum Computing research milestones in

20:46

one don't equal all of a sudden d-wave

20:49

is going to the Moon it could for

20:51

momentum purposes because these stocks

20:53

trade so so minorly they have such

20:56

little float but that's also why they

20:58

can have have in one day because all of

21:00

a sudden the buy order book freezes up

21:02

nobody wants to buy anymore and people

21:04

want out and then it rapidly

21:06

disassembles right all right enough

21:09

about Quantum let's now talk about the

21:11

Federal Reserve so the minutes came out

21:13

today in my opinion these were mostly a

21:16

nothing Burger uh there were few signs

21:19

here of concern about persistent

21:21

inflationary pressures in the market

21:23

worth noting I did read all of it so I

21:25

want you to know I actually went I went

21:27

through the Fed minut

21:29

they said that Equity Prices rose in

21:30

anticipation of trump and after

21:32

liquidity and treasuries deteriorated

21:34

somewhat markets anticipate rate cuts to

21:37

slow considerably in 2025 and fed

21:39

Communications helped the perception of

21:41

these slower Cuts GDP growth is expected

21:44

to be slightly slower with 2% inflation

21:46

in 2017 downside risks to labor market

21:50

have uh to the labor market have eased

21:52

in recent months and all of them judge

21:54

the risks to inflation had increased

21:57

this is probably the most important part

21:59

and if you look at page n they basically

22:01

say the following likely effects of

22:04

political changes in trade and

22:06

immigration policy that's a quote would

22:10

lead to the upside in inflation risk so

22:14

this all started on December 18th when

22:15

the FED all of a sudden decided rather

22:17

than reacting to inflationary impetuses

22:20

like tariff policies they're going to

22:21

start trying to front run inflation

22:23

policies this is why a lot of people are

22:25

comparing the market right now to

22:26

December of 2021 where where they're

22:28

like um in December of 2021 the FED went

22:32

harsh and told us they were going to

22:33

raise rates that was a disaster this

22:35

December 18th meeting might somewhat be

22:36

similar where they're kind of like yeah

22:38

we're going to front run Trump which is

22:40

also kind of interesting because they

22:42

didn't front run stimulus inflation

22:44

they're like ah it'll be transitory it

22:46

won't matter and then they were way

22:48

behind the curve now people think they

22:50

are way too aggressively ahead of the

22:52

curve that they're crushing the labor

22:53

market and they're pre crushing the

22:55

market for Trump in anticipation of

22:58

tariff which may never come because my

23:00

thesis of course this I want to just

23:02

always clarify where my opinion is my

23:05

opinion is that with rates this high

23:07

it's just a matter of time before the

23:09

economy stalls out and when it does the

23:12

market crashes Donald Trump's not going

23:15

unless we get really good jobs data

23:16

right if we get really good jobs data

23:18

will be fine like if we get three months

23:19

in a row here of great jobs data hey

23:20

fine great soft Landing achieved right

23:22

excellent but Donald Trump's not going

23:25

to Institute his tariffs if the Market's

23:27

crashing and so then the FED is

23:29

tightening for nothing and causing a

23:30

potential crash for nothing freaking

23:33

idiots like you should know Trump's just

23:35

negotiating which we're going to talk

23:37

about Greenland in just a moment which

23:38

will be really fun but we got to get

23:40

through the fires first so do a lot of

23:42

people that was are freaking terrible

23:43

but anyway uh as far as the fed and Nick

23:46

Tios over at the Wall Street Journal

23:48

Nick T wrote an article basically saying

23:49

the FED is expected to keep rates steady

23:51

for January so don't anticipate a

23:54

Federal Reserve cut uh in January I can

23:58

give you the Market implied

23:59

probabilities as well really quickly

24:02

the okay um those shifted a bit

24:06

today uh the uh uh the the market

24:09

implied chance of a cut right now in

24:13

January uh is uh is is basically

24:16

negative

24:17

4.8% so like the markets think there's

24:20

like no chance that we're going to get a

24:22

cut in January uh and uh and and that

24:25

rises a little bit but not much to like

24:27

a third when we get to March all right

24:30

so today uh we did also have Waller talk

24:33

from the Federal Reserve he says that he

24:35

thinks inflation is going to keep making

24:36

further progress because 12month

24:38

measures of inflation could drop

24:39

meaningfully in the next few months

24:41

because of the q1 pickup last year all

24:44

right this is a lapping argument it

24:46

basically says that because inflation in

24:48

q1 last year was elevated when we

24:50

compare this year's inflation to last

24:52

year we should have lower numbers this

24:55

year because you know like if your last

24:57

year number is 305 and it was really

24:59

high and these aren't exact numbers I'm

25:01

just saying it and this year's number

25:03

has to beat that higher number if it

25:04

comes in even just slightly higher it's

25:06

almost going to look flat or maybe even

25:07

negative compared to last year not exact

25:10

numbers I'm just making stuff up to try

25:11

to help understand comparing to last

25:14

year but anyway that was Waller today so

25:17

with all that out of the way and macro

25:19

out of the way let's now talk uh fire

25:22

politics and then we got to talk

25:24

Greenland and crypto a little bit all

25:25

right ready for this m

25:29

m in case you haven't already heard I'm

25:31

sure you have California's on fire once

25:34

again Donald Trump posted no water and

25:37

fire hydrants no money and FEMA this is

25:39

what Joe Biden is leaving me thanks

25:42

Joe this is true especially regarding

25:44

the fire hydrants we need to talk about

25:46

that so far we are experiencing the

25:48

worst fire in Los Angeles history with

25:51

more than 1,000 structures hit in the

25:53

Pacific Palisades over 11,000 Acres

25:56

we've had multiple different fires fires

25:58

in santaa fires in uh the Olivas fire in

26:01

the Ventura County area were good here

26:04

just wanted to shout that out there are

26:05

a lot of people who are suffering though

26:07

and my heart goes out to them and their

26:08

families and their pets and their homes

26:10

and their businesses the Hearst fire the

26:13

Woodly fire the eaten fire which is like

26:16

over 10,600 Acres we're at 0%

26:18

containment which isn't unusual while

26:20

the winds are still blowing usually once

26:23

the wind sto blowing you could actually

26:24

contain these fires a lot of people

26:26

misunderstand California fires because

26:28

they assume that California fires are

26:30

really just like any other fire uh and

26:33

this this really isn't true now yes

26:35

there's more California can do and we're

26:36

going to talk about that but something

26:38

that you really have to know when it

26:40

comes to California fires is they're

26:42

just mostly driven by topography and

26:46

wind and in California we've got a lot

26:49

of mountains on the coast which create

26:51

valleys for wind to blow through and

26:54

these valleys make fir so freaking

26:57

deadly yesterday we had fires and uh or

27:00

that that were spreading because of wind

27:02

gusts between 50 to 100 Mil an hour in

27:04

some cases up to 200 mph gust which is

27:07

absolutely insane this is why planes

27:09

were grounded in many different areas uh

27:12

but especially firefighting planes uh

27:14

but take a look at this when you pull up

27:16

this this is the uh windy app I think

27:18

it's great for Aviation as well uh you

27:21

can see Wednesday at 8:00 a.m. this

27:23

morning I don't have yesterday's winds

27:25

anymore but you could see how right here

27:28

you've got uh mountains and ridges that

27:31

basically block the winds in this lower

27:34

sort of area of Los Angeles but where

27:37

they funnel through is through the

27:38

Burbank Valley and they come out over

27:42

here by the Palisades and Malibu and in

27:45

those areas that's where we've got

27:47

substantial fires uh and winds

27:51

specifically what we call the East Winds

27:54

are famous for causing fires in

27:57

California now a lot of people are

28:00

freaking out especially on social media

28:02

because there's talk about how insurance

28:04

companies cancelled policies before the

28:07

Los Angeles wildfires and this is true

28:10

companies like State Farm and other

28:11

companies did cancel insurance policies

28:14

this summer this is actually a very

28:17

common time and I'm not defending

28:18

insurance companies at all uh is a very

28:20

common time for insurance companies to

28:21

cancel policies because it's before Fire

28:25

season which is usually associated with

28:27

those easterly winds in casee you're not

28:30

in aviation or familiar with how winds

28:33

work when somebody tells you hey winds

28:35

are at 90° or easterly winds that's the

28:39

direction the winds are coming from that

28:42

took just between us okay that took me a

28:46

little while to understand uh I was

28:48

always like oh okay yeah wind's at 90°

28:51

so so they're blowing that way like that

28:54

was my stupid ignorant prior self now I

28:57

know better and so I thought I'd share

28:59

that with

29:02

you all right anyway uh so it's very

29:05

common that the East Winds cause fires

29:07

and and they're bad they they blow a lot

29:10

like nobody knows how to blow better uh

29:12

and and these exacerbate the problems

29:14

that you have in California now we're

29:15

going to talk about more of the problems

29:17

that we have don't worry in 2019 Donald

29:20

Trump talked about how there are old

29:21

trees in California sitting and rotting

29:23

and dying all over the place this

29:26

argument from Donald Trump in 2009 19 is

29:28

not actually entirely untrue it's kind

29:32

of True by some estimates there are

29:34

potentially as many

29:36

as 163 million dead trees in California

29:41

a lot of this is due to the droughts

29:43

that we face in California as many as

29:46

onethird of homes in California also lie

29:51

close to dense V vegetation uh or right

29:55

up to it so uh if you put it together

29:57

it's about 33% are within 1 and 1/2

30:00

miles and some are just like sitting

30:02

right on top of really dense vegetation

30:05

and a lot of this vegetation what

30:06

happens in droughts is basically the

30:08

brush dies kind of think like a desert

30:12

and then you're left with tumble weeds

30:14

or you're left with mulch basically that

30:16

just gets baked and dried out in the

30:18

California dry air this isn't like

30:21

Florida these aren't like Florida forest

30:22

fires where which you rarely get it's

30:24

like swamp fires right cuz everything's

30:26

wet you really high hum humidity we have

30:28

really low humidity so when you combine

30:32

droughts dead ammunition for fires

30:35

basically easterly

30:37

winds and low humidity you basically

30:41

create a Tinder Box in California for

30:43

fires now Donald Trump says people need

30:46

to manage the forest nobody is managing

30:48

the forest and yes this is true even

30:51

Berkeley which leans left obviously I

30:54

got into Berkeley but I didn't go to

30:55

Berkeley I went to UCLA for what it's

30:57

worth uh they argue that Forest

31:00

management actually helps and that's a

31:03

big thing coming from Berkeley in my

31:05

opinion but they argue that yes we need

31:08

to conduct controlled Burns we need to

31:11

burn the mulch that's on the ground in a

31:12

manner that we can control it when we're

31:14

not in an emergency situation and yeah

31:16

we need to manage our Force because

31:18

controlled Burns and maybe even de

31:20

brushing actually helps prevent large

31:25

catastrophic fires this is has been

31:28

studied many times before when I ran for

31:30

governor in California I ran on doing

31:32

more controlled Burns controlled burns

31:34

are really important because when you

31:36

have really windy environments what

31:38

you're actually doing is you're

31:39

worsening pollution through what's known

31:41

as black carbon or the spread of black

31:44

carbon black carbon is basically soot

31:46

and it's really bad for the environment

31:49

now it doesn't last that long in the air

31:51

because it usually you know it happens

31:53

in concentrated times when there's a lot

31:54

of wind this is why you do controlled

31:56

burns when there's not a lot of wind see

31:58

when you control the burns you can

32:00

decide when to burn it anyway black suot

32:03

doesn't last that long in the

32:04

environment cuz duh the wind dies down

32:06

but black carbon is considered a 100

32:08

times more potent than greenhouse gases

32:10

to climate change so it's kind of ironic

32:12

that there's so much of a push for you

32:14

know climate change but then you're not

32:16

doing controlled burns when black carbon

32:18

is so much more damaging to the

32:20

environment and these uncontrolled burns

32:22

are so much more

32:23

damaging okay then people get all

32:25

prehistoric and they're like yeah well

32:27

California was on fire all the time in

32:28

prehistory sure but we also didn't have

32:30

homes and and and and people living

32:32

there uh and the destruction to our

32:34

economy you know sometimes people have

32:36

this fallacious argument they're like oh

32:37

if a hurricane comes by and destroys 100

32:40

Windows well that's good for the economy

32:42

because now people have to replace 100

32:43

Windows wrong you basically dug a hole

32:47

to fill it yes you spent the money to

32:50

replace 100 windows but what did you get

32:52

out of that you got the same thing you

32:54

had before you got back to status quo

32:56

now if you spend that money on let's say

32:57

say research on quantum computers and

33:00

maybe you actually spend that money in

33:01

the same way where it has a multiplier

33:03

in the economy but you spend that money

33:04

in a way where you actually creating a

33:06

potential good for let's say curing

33:08

cancer well that's so much more

33:09

beneficial right and obviously I'm being

33:11

extreme with the example just to show

33:13

that no disasters are not good for the

33:16

economy they bring you back to net

33:17

neutral it's actually bad for the

33:19

economy because now you have less

33:21

Capital to deploy on things that

33:22

actually matter uh for the advancement

33:24

of society so no it's it's it's really

33:26

bad and Forest man agement is actually

33:28

very very important and it's a premise

33:30

that I ran on when I ran for governor in

33:32

California in fact here's just a little

33:34

piece here who is Kevin paffrath Cal

33:36

matters path's 5-year plan includes

33:39

eliminating income taxes for households

33:41

earning less than

33:42

$250,000 legalizing gambling because

33:44

we're going to tax the crap out of it

33:46

reforming the state's water and Wildfire

33:49

Management systems and creating net

33:50

negative energy plan communities around

33:52

the state basically building more homes

33:54

so you know things would be affordable

33:56

in California

34:00

I don't understand Nome said he was

34:02

going to do better and he didn't I'm

34:05

really disappointed he said that he was

34:08

going to do better when he got

34:10

reelected and he also said he was going

34:12

to do better when Joe Biden got

34:17

elected listen to it yourself is we are

34:21

committed as a team as a partnership

34:23

with the legislature uh and other state

34:26

agencies including now the federal

34:28

government no longer a sparring partner

34:30

but a working partner federal government

34:32

where we're not addressing headwinds but

34:35

Tailwinds in terms of the support a

34:37

memoranda of understanding doubling our

34:40

respective commitments to vegetation

34:42

management and Forest management and

34:44

prescribed Burns to support the Biden

34:46

Administration with resources not just

34:48

rhetoric to help this Collective CA

34:51

resources not just rhetoric what did we

34:54

get oopsies

34:57

I'm sorry okay I I can't hide I ran

35:00

against the guy for governor okay

35:01

obviously I lost I'm a loser but I can't

35:05

stand that guy I'm sorry uh and I'm

35:09

generally like you know me I'm generally

35:10

extremely neutral on this channel uh at

35:13

least the best you can be but that that

35:15

one just pisses me off uh so anyway then

35:17

we get into this idea that Trump says

35:20

that California chooses to dump extra

35:21

water into the

35:24

ocean all right so let's pull up the map

35:29

uh yes uh a lot of water does flow from

35:33

California Rivers into the ocean this is

35:36

not

35:38

untrue okay yes yes water flows into the

35:42

ocean uh one of the ways we look at that

35:45

is you look at the uh sanen and

35:50

Sacramento Delta and when you look at

35:53

that you'll actually be close to uh

35:55

where house hack has been a bunch uh but

35:58

look at this this right here is the

36:01

Delta okay I've flown over this area

36:04

many many a time and basically you get

36:06

the sanen river and the Sacramento River

36:09

they just naturally dump into this Delta

36:13

so this is a natural flow of water the

36:16

water comes off mountains that you have

36:18

over here it fills up Rivers hopefully

36:22

enough as the snow melts and then it

36:24

slowly just dumps out into the ocean yes

36:27

it is true water dumps into the ocean

36:30

that naturally happens now Donald Trump

36:33

says California is doing that on

36:35

purpose no California is not

36:38

purposefully dumping the water into the

36:39

ocean but the reverse is true California

36:42

is purposefully trying to not not dump

36:46

the water in the ocean okay let me

36:47

phrase that a little differently

36:48

California could be damning some of this

36:52

water diverting the water to actually

36:55

help fill up more of our reservoirs in

36:57

California to minimize the drought that

36:59

we have or droughts that we tend to have

37:02

or the water problems that we tend to

37:03

have remember I ran on water management

37:05

for governor as well okay but Gavin Nome

37:09

actually promotes damn removal here he

37:13

is cheering the largest dam removal

37:16

project in history listen to this

37:18

largest dam removal project in US

37:21

history and one of the most significant

37:23

if not the most significant water

37:26

restoration project bringing back salmon

37:29

and steel head into this Basin this

37:32

project could not have happened with

37:34

okay basically hey we want to protect

37:36

the fish and we want salmon or smelt or

37:40

whatever and we're worried about the

37:41

species so we're not going to Dam water

37:45

and we're not going to build up or pump

37:46

up reservoirs or the Colorado River with

37:49

more water because we want to protect

37:51

the environment but by protecting the

37:53

environment you're actually enabling

37:55

these crazy catastrophic fires which are

37:57

even worse for the freaking environment

37:59

see Berkeley has found that they could

38:01

just release new fish in the areas where

38:05

the fish are dying if you divert water

38:07

they're like instead of have you heard

38:09

of the phrase Catch and Release okay

38:11

that that has to do with immigration or

38:12

fishing depending on what you're talking

38:14

about there's also something called

38:17

hatch and

38:19

release yes hatch so you grow eggs well

38:25

like you take other fish and you you

38:27

know you make them have babies basically

38:29

and then you take the eggs you grow them

38:31

in tanks and then you go throw the fish

38:33

in the water like that is another way to

38:36

solve fish populations especially smelt

38:39

so yes you can solve the Delta smelt

38:41

endangered population by just throwing

38:43

more of them into the freaking

38:45

water in other words yes you can divert

38:49

water and damn water and fill freaking

38:51

things up look when I ran for governor I

38:53

talked about doubling the flow of the

38:54

water uh flow of water to California's

38:57

call colado River so we could actually

38:59

distribute it to our Farms throughout

39:00

the entire State specifically the Bread

39:02

Basket of California uh which which we

39:06

need we create a you know we grow a lot

39:08

of food you've got dry Farms it's crazy

39:11

but what you also have is fire hydrants

39:12

Running Out of Water okay so why do fire

39:15

hydrants run out of water is this

39:17

malicious is this intentional well it

39:20

depends how far down the rabbit hole you

39:22

want to go and I had a conversation with

39:24

somebody about this on X you could

39:25

follow me there at real me Kevin

39:28

how do you not have water for fire

39:30

hydrants that's not ignorant that's

39:31

malicious I wrote there are reasons for

39:34

this if the power goes out the pumps

39:35

fail okay this is important to know

39:38

power went out for like 400,000 people

39:40

yesterday in Los Angeles we had power

39:42

surges up here in Ventura uh if the

39:44

tanks run dry uh because certain areas

39:47

like the Pacific Palisades are uh like

39:49

the water reservoirs they have they're

39:51

tanks and if they run out because

39:53

everybody's turning on their water and

39:55

trying to hose down their property or

39:57

house burns down and the water line is

39:59

just leaking and spewing everywhere and

40:01

guess what hydrants have no water the

40:03

same thing happened in the Thomas fire

40:05

in 2017 in Ventura County so we could

40:08

have seen this crap coming we could have

40:10

seen it coming from how many years ago

40:12

is that seven eight years ago come on

40:14

seven and a half years ago we could have

40:16

seen this coming that yes fire hydrants

40:18

can stop freaking working especially in

40:20

hilly areas cuz you need pumps to pump

40:22

the water up the hill and what happens

40:24

when the fire hydrants don't work you

40:26

could have firefighters but they can't

40:27

can't do jack

40:28

anything so yes there are explanations

40:31

for this but that doesn't give you a

40:32

good reason because like Patrick says

40:34

hey I'm a I'm a Floridian who sells

40:36

industrial pumps for a living like come

40:37

on we can solve this with generators and

40:39

he's right and so this I say I 100%

40:42

agree in my opinion bad politics and bad

40:45

budgeting no excuse I suppose we could

40:48

say political corruption is the direct

40:51

malicious cause look I had a whole plan

40:54

for solving homelessness in California

40:56

of course gav new some won because he

40:58

said his plan is better homelessness is

41:00

worse than ever before in California and

41:02

some people actually say homeless people

41:04

and their videos of this just start

41:06

fires for fun uh because what else are

41:09

they doing and in windy times what do

41:11

you get massive catastrophic fires so

41:14

like see how all these problems really

41:16

start relating it's kind of bad but

41:18

anyway Newsome bragged about damn

41:19

removal in the past we talked about that

41:22

uh but another thing that's creating a

41:23

lot of oh yeah so regarding the fire

41:26

hydrants yes this is a big problem and

41:28

it should be fixed it's like insane that

41:30

a state with up to 13% income

41:34

taxes doesn't have water for its fire

41:36

hydrance that's insane I'm going to say

41:39

the word I'm sorry I I'm not meaning to

41:41

offend anybody it is full-on

41:44

that we don't have water in our damn

41:45

fire hydrants because of

41:48

politics that's

41:51

corrupt no wonder insurance companies

41:54

are fleeing the state because they can't

41:55

trust the government to actually do

41:57

anything mind you the government did

41:59

nothing still does nothing when illegal

42:02

marijuana Farms hook up to fire hydrants

42:05

and steal the water straight from the

42:06

fire hydrants depleting the very

42:08

reserves we need for these fires what

42:11

did California do the last

42:14

time they just removed the fire

42:17

hydrants yeah when they found out

42:19

marijuana Farms were stealing water from

42:21

our fire hydrants rather than actually

42:23

punishing somebody they just removed the

42:25

damn fire hydrant you could Google this

42:28

this is real stuff this is documented

42:31

and it happens it's

42:33

insane that's California politics for

42:36

you

42:38

today here's some more California

42:41

politics us Aid helped provide funding

42:44

for 16 fire brigades to Ukraine that's a

42:48

2024 story which means California sent

42:53

extra fire trucks to Ukraine

42:59

yeah and not just California but the

43:01

federal government as well because

43:03

literally the city of La from a 2022

43:06

article here the city of La sent excess

43:10

supplies that they had including helmets

43:12

body armor hoses nozzles turnouts blah

43:15

blah blah to Ukraine so fire trucks and

43:18

fire defense equipment in storage for

43:22

emergencies when God forbid you have to

43:25

call in all off duty fire uh uh fighters

43:30

to actually come in and help that you

43:34

actually have material for them to use

43:36

it was just given

43:39

away now but that would be amazing right

43:41

like would California ever actually have

43:44

to call in all of their off-duty

43:47

firefighters breaking emergency

43:49

officials have just announced that all

43:50

off-duty Los Angeles County firefighters

43:52

must report

43:54

immediate oh

44:02

all right I can understand why people

44:04

are frustrated stuff like that pisses

44:07

people off it's one thing if we give

44:09

away our fire equipment and we can

44:11

actually handle the fires that we have

44:14

it's another thing when we're giving

44:16

away our stuff and then we burn to the

44:18

freaking ground now of course social

44:21

media is all up in arms about this why

44:25

because diversity equity and inclusion

44:29

yes apparently Dei has been the big

44:32

priority for the Los Angeles Fire

44:35

Department uh rather than actually

44:38

focusing on the best potential

44:42

firefighting Los Angeles Fire Department

44:44

has the uh has its first female and

44:47

first lgbtq fire chief in La history she

44:51

promised a more inclusive department and

44:53

supported mayor garcetti's diversity

44:55

Equity inclusion Bureau Bureau at the LA

44:58

fire department this Bureau

45:01

specifically had to do with hiring

45:04

workplace conduct and promotion which

45:08

basically means that if you're black or

45:10

Hispanic uh or a minority or lgbtq or

45:13

whatever you have a highlighter through

45:16

your name uh because they have a

45:19

diversity equity and inclusion Bureau

45:21

that's going to make sure that you get

45:23

priority now a lot of people think think

45:27

that that would never happen that would

45:29

never actually like affect somebody

45:32

right there there's no way that they're

45:36

going to pass up a potentially good and

45:38

capable firefighter right well listen to

45:42

this for a minute because it's worth it

45:45

my white privilege so

45:48

badly I graduated North Hollywood High

45:50

with the 1.7 GPA find a job I walked to

45:54

a fire station in North Hollywood I was

45:57

19 I was living in the garage of my

45:59

family home my mom was on welfare and

46:01

food stamps and I said can I get a job

46:04

as a fireman and they said no because

46:06

you're not black Hispanic or woman uh

46:09

we'll see in about 7 years and I went to

46:12

a construction site and dug ditches and

46:14

picked up garbage for the next seven

46:16

years I got a letter in the mail sent to

46:19

my father's house saying your time has

46:21

come to do the written exam for the LA

46:24

fire department I took it and I was

46:26

standing in line and I had a young woman

46:28

of color standing behind me in line and

46:30

I said just out of curiosity when did

46:32

you sign up to become a firan because I

46:35

did it or person seven years ago and she

46:38

said

46:39

Wednesday um that is an example of my

46:42

white privilege

46:44

it's

46:49

oopsies this is bad okay it's bad

46:54

politics does matter anyway Joe Biden

46:58

did arrive via Marine 1 I believe to

47:01

Santa Monica Airport he spoke at the

47:03

press conference uh on the California

47:05

fires the press conference was pretty

47:09

lame it was basically the brass uh

47:11

showing in a PR move a PowerPoint style

47:14

presentation to the president in Newsome

47:16

I don't think Biden was actually really

47:17

paying attention because he just sort of

47:19

kept looking down at a note card that he

47:21

had and after making a few mumbling

47:24

statements from his note card he started

47:26

talking about the birth of uh a great

47:30

grandchild in his family which a lot of

47:32

people looked at and are like are you

47:34

kidding

47:38

me Gavin Newsome was also there uh I

47:42

think the biggest frustration though

47:43

that people have is that the mayor Karen

47:47

bass was not in the state yesterday

47:49

she's back today that's because she was

47:52

on a trip to Africa celebrating the

47:56

inauguration

47:57

of the president of

47:59

Ghana yes the president of

48:03

Ghana was hanging out with our mayor in

48:05

Los Angeles in Africa when the fires

48:08

broke out even though we knew the East

48:10

leer winds were coming Lauren has

48:12

literally been talking to me for a week

48:13

she's like Kevin the winds are coming

48:15

you better not be flying on these days

48:17

everyone in California knew the winds

48:19

were coming and we know what happens

48:20

when the winds are coming and the mayor

48:22

is like nah

48:23

man I gotta go hang out with President

48:26

Ghana

48:30

Karen bass has also been accused of uh

48:34

cutting the fire department's budget by

48:36

$22.9

48:38

million uh but if you actually compare

48:40

that to the actual expenses that the

48:43

government uh has has has spent or there

48:47

you know the the fire department has

48:48

actually spent uh the fire department

48:50

spent about $93 Million last

48:54

year and now they're only being all ated

48:57

$837 million which is a c of about $66

49:00

million from what they actually spent

49:02

last year and given that this is the

49:03

worst fire in LA's history it's possible

49:05

we might need a little bit more money

49:07

for La fire but they just don't have the

49:09

resources because they're focused on

49:11

their own political pet

49:14

projects it's

49:17

disgusting okay uh wildfires are often

49:20

caused by power lines homeless

49:23

accidental cars other purposes but again

49:26

they could be contained if we actually

49:28

and properly manage uh our uh Force fire

49:32

prevention we've already talked about

49:34

the Berkeley information so we won't go

49:36

into that uh in heavy detail uh but it's

49:40

worth looking at a few clips and images

49:43

of what's going on what the fire looked

49:45

like in case you haven't seen these yet

49:47

so I'm just going to go through a few of

49:48

these uh after this we're going to talk

49:50

about Greenland and Donald Trump there's

49:52

a lot to talk about with Greenland and

49:55

Donald Trump uh so we're going to touch

49:57

on that this is uh obviously what what a

50:00

windy fire can look like there were also

50:03

videos circulating social media of

50:06

people being in homes while they were

50:08

catching fire here are just some shots

50:10

of afterwards in the Palisades I was

50:13

actually in the

50:14

Palisades just a few days ago uh on a

50:18

very important meeting on Sunday and

50:20

it's interesting because if you follow

50:21

me on Instagram at meetkevin I actually

50:24

posted a video about how beautiful I

50:26

thought the Palisades were and how it

50:28

was basically like a a town of The

50:31

Jeffersons now the Palisades Mall

50:33

supposedly did

50:35

survive uh so that's good not everything

50:39

is destroyed but across from the uh

50:42

Palisades Mall you did see the

50:43

destruction of the 100-year-old building

50:46

the Starbucks was in which is also quite

50:50

devastating I mean you could see how

50:52

terrible this all looks uh you'll also

50:54

see the uh

50:57

here you could briefly see the Palisades

50:59

library on fire Malibu which remember

51:03

from The Windy app uh Malibu here you'll

51:06

see a home collapse that's on fire these

51:09

are you know 10 to20 million homes that

51:12

are right on the beach uh this is sort

51:15

of what the fire looked like from an

51:17

aerial point of view uh LA flights were

51:20

still ongoing although they were

51:22

reporting uh moderate turbulence for

51:25

Boeing 74 47 which which you know if

51:29

boeings are reporting turbulence you

51:31

don't want to be out in uh in a little

51:33

plane but uh let's just say it's it's

51:37

pretty bad the destruction is is

51:39

absolutely terrible there you could see

51:41

a nice image this was actually shared by

51:43

Elon where you could see the homes uh on

51:46

the beach and what it looks like or

51:48

looked like last night uh this was from

51:50

this morning by the way this one that's

51:52

showing right now so it gives you a

51:54

little bit of a look of what the

51:56

disaster looks like that's going on it's

51:59

really bad uh it's really sad and uh I I

52:03

just always encourage if there's ever a

52:06

fire uh or a windy situation I always

52:09

recommend people start thinking about

52:11

preparing even if you don't think the

52:12

fire is going to come to your area if

52:14

you have electric vehicles the most

52:16

important thing I could recommend to you

52:17

is please please please charge your

52:20

car uh that's an important one because

52:23

if you got to go you got to go because

52:25

if this is what it looks like like

52:26

outside of your window let's just say

52:29

it's time to go out the other side of

52:30

your home because you're about to get

52:32

cooked like an

52:34

oven I also don't understand why these

52:37

people are just standing here filming

52:38

this I understand the winds are sort of

52:40

blowing uh the fire up the hill and

52:42

you'll actually see them subside in just

52:44

a moment but it's just a matter of time

52:46

because the moment one of those glass

52:47

windows breaks those Flames come inside

52:50

and cook you alive you inhale one breath

52:53

of those flames you die like like it it

52:57

doesn't matter if your home's on fire

52:58

it's it's the breath it's the hot inhale

53:01

of those hot gases that kills you almost

53:05

instantaneously very bad very sad so

53:08

please GTFO if there's fire around it's

53:11

so dumb to be standing here but you know

53:13

he's got to do it for the

53:16

gram now we got to talk about Greenland

53:18

this is pretty remarkable because we

53:20

briefly touched on this yesterday Donald

53:21

Trump talked about needing Greenland for

53:23

national security purposes all right to

53:26

understand Greenland you kind of this

53:28

this is all right there there's a lot to

53:30

this but let's just let me start by

53:31

saying this The Economist hates Donald

53:34

Trump and The Economist thinks Donald

53:36

Trump should actually buy

53:39

Greenland so uh you know this is kind of

53:42

a way of them saying maybe he's on to

53:44

something which is really rare and I

53:45

always love knowing what people's

53:47

political biases are because that way

53:48

you could do that you know it's like oh

53:50

they hate Trump and even they think it's

53:51

a good

53:53

idea uh so uh anyway uh okay so look

53:57

here's China okay this is China this is

54:00

the earth wow Russia's like you know

54:03

over here uh so they they kind of touch

54:06

each other uh and there's there's a

54:09

purpose to this when China and Russia

54:12

touch each other like they do right over

54:14

here you don't really need to go through

54:17

the ocean to trade between Russia and

54:19

China we know they could just like

54:21

I shouldn't say ship but they could just

54:24

you isn't it weird that like cargo goes

54:26

on

54:27

ships uh uh but then we uh we ship

54:32

things uh like a shipment comes on

54:34

freight trucks it feels backwards but

54:37

anyway uh so China you know they they're

54:40

connected by land so we're not so

54:41

worried about their ability to trade

54:43

with each other they can trade through

54:44

land over here but what does Russia want

54:47

to do well what Russia and China they

54:49

want to trade with Europe and the United

54:52

States not so much Russia with the

54:54

United States but China does right so

54:56

this polar route uh requires a lot of

54:59

ice breaking equipment to get through

55:01

but look what's right here Greenland

55:04

Greenland can literally intercept

55:06

whatever Arctic trade is going on here

55:08

or the polar trades that are going on

55:10

over here and Russia and China have been

55:12

using a lot of icebreaking ships to go

55:15

through here Russia has been sending a

55:16

lot of submarines in this area they want

55:19

this area so this is of strategic and

55:22

geopolitical importance uh that is

55:25

Greenland is right okay fine so why does

55:28

Trump want it well Russia builds

55:30

military bases in the Arctic Russia is

55:32

posturing Russia has been increasing

55:34

their submarine patrols Beijing has been

55:36

investing in mining projects in

55:37

Greenland the Pentagon actually blocked

55:39

three airports that China wanted to

55:41

build there major trade routes that go

55:44

along What's called the polar Silk Road

55:47

actually avoid the Suz canal and have a

55:50

much shorter route the sus Canal route

55:52

to go basically from uh China to Europe

55:56

which you can see on screen here this

55:57

could take 25 to 45 days whereas this

56:00

route over here takes 20 to 25 days

56:03

obviously depending on where you start

56:05

it's worth remembering though that this

56:07

polar route is usually only functional

56:09

during the winter so you're not going to

56:11

use it all year long uh it is a much

56:15

shorter distance it's about 13 to 15,000

56:17

km versus the 20,000 km by going all the

56:20

way around and you don't have to deal

56:21

with the whole Middle East crisis that's

56:23

going on Greenland also has potentially

56:26

7 1.5 billion barrels of undiscovered

56:28

oil 148 trillion cubic feet of natural

56:31

gas and a lot of rare earth metals in

56:35

fact The Economist says that 3% of the

56:37

world's oil reserves are there 43 of 50

56:39

critical minerals are available to which

56:42

are of strategic importance to the

56:44

United States are available in Greenland

56:46

and The Economist says paying say $50

56:48

billion you know some multiple of their

56:50

small GDP for Greenland would be the

56:52

quote deal of the century now the more I

56:55

read about Green Greenland the less

56:57

farfetched it sounds because initially

56:59

when I heard about Trump wanting

57:00

Greenland I'm like this sounds like I'm

57:02

playing Age of Empires and there's no

57:04

gold left on any of the islands that

57:07

we've occupied and we're all going for

57:09

the gold left on an island somewhere

57:13

else talk of acquiring Greenland started

57:15

in 1867 and occurred again in World War

57:18

II but really never truly has taken

57:21

place again until today president uh of

57:24

Mexico Claudia shin also wants to rename

57:27

North America Mexican America after

57:30

Donald Trump threatened to rename the

57:31

Gulf of Mexico the Gulf of

57:34

America Duwan the founder of terraform

57:36

Labs will go on trial in January of 2026

57:40

some crypto Bulls believe that Trump's

57:41

crypto regulations and fed money

57:43

printing will be the next big thing for

57:44

crypto in 2025 this comes as Kazakhstan

57:48

has shut down 36 illegal crypto

57:50

exchanges in the country is building out

57:51

a cbdc and the 1hour RSI relative

57:54

strength index for Bitcoin is the lowest

57:57

since it hit

57:59

60,000

58:01

so what's left well we'll all find out

58:05

on jobs day won't we anyway thank you so

58:07

much for watching this I hope you like

58:09

the little chapter markers we have at

58:10

the bottom if you want the Daily Wealth

58:12

email make sure to join it over at

58:14

meetkevin.com I'm not going to go

58:16

through it today because there's way too

58:17

much uh that we've covered in this so

58:19

we'll cover it in a different one or

58:20

just get the email over at meek

58:21

kevin.com and also sign up for the alpha

58:23

report at the bottom of the website me

58:25

kevin.com thanks so much for watching

58:26

and we'll see you in the next one

58:27

goodbye and good luck do not advertise

58:29

these things that you told us here I

58:30

feel like nobody else knows about this

58:32

we'll we'll try a little advertising and

58:33

see how it goes congratulations man you

58:35

have done so much people love you people

58:37

look up to you Kevin PA there financial

58:39

analyst and YouTuber meet Kevin always

58:41

great to get your take

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