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SHOCKING New FACTS on Charlie Kirk SHOOTER Tyler Robinson

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0:00

The shooting of Charlie Kirk by Tyler

0:02

Robinson has everybody scrambling to put

0:04

together a narrative as to why Tyler

0:06

Robinson would do this. In this video,

0:08

I'm going to break down some of the

0:09

latest facts in this case and why Tyler

0:12

Robinson might have gone after Charlie

0:16

Kirk. Not just specifically for what he

0:19

said, but what's inside of Tyler's

0:22

background that could have left him

0:25

prone to being ignited, if you will.

0:27

We're going to break down some medical

0:29

research here as well as look into

0:31

Tyler's background. So, let's keep it

0:33

straight. Let's keep it fast and let's

0:34

get to the facts right away because

0:36

that's what I like to do here is provide

0:38

facts and then give you unbiased

0:40

opinion. That is, I don't really care if

0:42

you're on the left or on the right. I

0:44

look at this as providing perspective as

0:46

an American. And honestly, I think the

0:48

vast majority of you feel the same way.

0:50

So, I'm just going to provide

0:51

information and then you can choose what

0:54

to believe from it. So, let's get

0:56

started. The first thing that we have to

0:57

understand about Tyler Robinson is that

0:59

there are a lot of rumors and

1:01

potentially even facts circulating about

1:03

potentially Charlie Kirk's alleged

1:05

assassin living with a transgender

1:07

partner who is now cooperating with the

1:09

FBI. Mind you, this is being reposted

1:11

literally by Kosh Patel, who is the

1:13

director of the FBI. So, it gives a lot

1:16

of credence to the idea that they have

1:17

more to go on than just a hunch that

1:19

Tyler Robinson is indeed somebody who

1:23

might be related to, well, let's say

1:25

either gay or transgender ideology,

1:28

especially since there are now comments

1:30

that potentially uh Tyler Robinson was

1:33

quote unquote spotted kissing

1:35

transgender partner just 2 weeks before

1:38

the assassination. But we have to be

1:40

really careful because journalists can

1:42

tend to get a little wild and a pry at

1:45

every single angle possible to try to

1:47

get any inkling as to what would

1:49

potentially lead people to believe the

1:51

partner is transgender. However, that

1:54

trans potential transgender partner is

1:56

now cooperating with the FBI in

1:57

interviews. So, you would assume that

1:59

the FBI has some more intel into this.

2:02

But I'm also seeing a lot of articles

2:04

where neighbors are like, "I don't know.

2:05

I don't want to go as far as calling him

2:07

trans." So, we don't quite know. But

2:09

what we do know is that this was

2:11

somebody who is radicalized. Currently,

2:13

there is a an FBI special agent named uh

2:16

James Gaglian. He calls what we're

2:19

seeing now quote unquote assassination

2:21

culture. One that is fueled by

2:23

grievance, the feel feeling of

2:25

superiority, some form of moral

2:27

absolutism, basically a license to kill.

2:29

And it doesn't take much for them to get

2:31

radicalized. And this is why right now

2:33

there's a lot of conversation about

2:35

could somebody who is potentially

2:37

transgender be more prone to

2:40

radicalization.

2:41

This now also then of course has people

2:44

on the flip side saying, "Oh, come on.

2:46

Like there are shootings all of the time

2:48

and only.11%

2:49

of all shootings are committed by

2:51

transgender individuals." But we also

2:53

have to understand that the time frame

2:56

in which we look at shootings is going

2:58

to make up what the statistics show. If

3:01

we go back and look at shootings over

3:03

the last 200 years, we have to realize

3:05

that maybe only the last 10 years are

3:07

people willingly and openly willing to

3:10

talk about transgenderism. Okay? Maybe

3:12

call it the last 20 years. Which means

3:14

really you can't look at the last 200

3:16

years of transgender data because most

3:19

people aren't going to identify as trans

3:20

who actually are trans. And this is not

3:23

a slight against trans individuals. This

3:25

is simply to understand statistical

3:28

analysis. There's a lot that goes into

3:30

this. We got to recognize that most

3:32

people who were trans weren't actually

3:33

willing to admit that they were trans

3:35

and they were more and more closet

3:36

trans, which is the same thing that

3:38

we've had for generations with gay. Now,

3:41

something that we want to look at

3:42

specifically when it comes to

3:44

transgenderism, is of course mental

3:47

illness. And this is where things start

3:49

getting really interesting because when

3:51

people feel like they are trapped in a

3:53

different body, we don't really know yet

3:56

what came first, the chicken or the egg.

3:57

It's possible that people who feel like

3:59

they're trapped in the wrong gender are

4:02

just mentally ill to start with. Or it's

4:04

possible that people who are having

4:06

these feelings of being trapped in the

4:08

wrong gender end up going to doctors who

4:11

say, "Well, the only way we can date you

4:13

out of this gender is if you have a

4:15

mental illness and therefore these

4:17

individuals are overdiagnosed." That's

4:19

worth going into what I'm about to tell

4:21

you with because again, my goal is to

4:24

make your brain go, "Oh, okay. I mean

4:26

like okay I I could see the six of one

4:28

half doz of the other right but now here

4:31

comes some of the data sets okay and

4:32

this is where things get a little less

4:34

opinion uh listen to this we performed a

4:38

cross-sectional analysis this is a

4:41

published these are published studies

4:42

all of the things we're about to go

4:43

through published studies uh and this is

4:45

on transgenderism we performed a

4:46

cross-sectional analysis of a prevalent

4:48

I believe this was a Yale study uh of

4:51

psychiatric diagnosis amongst

4:53

transgender patients in clinical care

4:55

using allpayer electronic health records

4:57

database blah blah blah blah of 10,270

5:00

transgender patients identified. Going

5:01

through through these records, they

5:03

found that 58%

5:06

of the transgender patients they

5:09

identified had at least one psychiatric

5:12

diagnosis, which means every like one in

5:15

two people, every other PE person who is

5:18

trans has a mental health illness. So

5:21

it's actually more than that because

5:23

it's 58%. This compares to 13.6%

5:28

for non-transgender individuals, which

5:30

means you really have to get a little

5:32

bit more than one in seven people to

5:35

find one mental health illness that has

5:38

been diagnosed. Again, is it were

5:40

diagnosing trans individuals more or did

5:42

they start with more issues and then

5:44

become trans? That's unclear.

5:46

Transgender patients had statistically

5:48

significant astical increase, a

5:51

statistically significant increase. Hold

5:53

that scientific word wording. Uh in the

5:55

prevalence for psychiatric diagnosis

5:57

queried with a major depressive disorder

6:00

and generalized anxiety disorder being

6:01

the most common diagnoses that means 31%

6:05

were major depressive disorder victims

6:08

or sufferers would probably be the

6:10

better word. So this is a big deal and

6:14

there's not just information about this

6:16

but there is a lot more. Yale goes

6:19

deeper and goes in to say that the study

6:21

found that transgender individuals who

6:23

had received a diagnosis of gender

6:25

inongruence were six times more likely

6:28

to have mood or anxiety disorders than

6:29

the general population, three times more

6:32

likely to be prescribed anti-depressants

6:34

and anti-anxiety medications, and six

6:36

times more likely to attempt suicide

6:38

resulting in hospitalizations. The the

6:40

problem is that's only six times more

6:42

likely to attempt to also now add in

6:45

attempt and succeed in suicide which is

6:48

bad. It also somewhat suggests that some

6:50

of these individuals might be more

6:52

disconnected from society and the

6:54

consequences of society. Like hey if I

6:56

kill Charlie Kirk I might get the death

6:58

penalty. Don't care. Don't care about

7:02

death. Suicidal anyway possibly. Right

7:05

now, what else we've got to look at is

7:07

Stanford suggests that people should be

7:10

started on transitioning drugs earlier

7:14

in adolescence to help minimize some of

7:17

those mental health issues. But then

7:19

this raises the eyebrows of wait a

7:20

minute, are you potentially pushing

7:22

people into this part of society that is

7:24

just going to lead to a lifetime of

7:26

mental health illnesses? So, this is a

7:29

counter that a lot of people have to

7:30

this Stanford suggestion. uh for

7:32

example, I want you to consider not only

7:34

what some of the other studies say that

7:36

are out there, but also what some of the

7:37

drugs do when we talk about depression.

7:40

So, the University of Ottawa, they found

7:43

that not only could they reiterate a

7:45

higher prevalence of mental health and

7:47

suicidal behavior in trans individuals,

7:49

but they argue that there's something

7:50

known as the minority stress theory. And

7:53

this is that the experiences uh or or

7:55

people who experience or go through

7:57

prejudices, negative social experiences

7:59

in general can have quote substantial

8:02

impacts on both their physical and

8:04

mental health. And so when you're

8:06

ostracized as somebody who's, you know,

8:07

maybe basically like a 1% minority in

8:10

society or less, then really it's no

8:13

surprise that you're going to have

8:14

physical and mental health problems. And

8:16

so therefore, it's no surprise that you

8:17

would end up being, you know, one in

8:19

two, basically one in two individuals

8:22

who are trans having mental health

8:23

issues diagnosed, not to even mention

8:26

the undiagnosed mental health issues

8:28

that could be occurring in the trans or

8:31

unidentified yet trans community. Like

8:33

what if you're a closet trans and it

8:34

hasn't been determined yet. Now then you

8:37

get into, well, what's going on with

8:38

anti-depressants? our drugs and sort of

8:40

this medical society that we're in.

8:42

Everybody's so willing and excited to

8:45

prescribe new drugs these days. I I

8:46

personally try my best to stay away

8:48

from, you know, chemicals and drugs as

8:50

much as possible, but this is this is I

8:52

promise you not a sponsor. I just love

8:55

that. Okay, Ice Breakers came out with

8:56

these. Like, sorry, I'm pitching this. I

8:59

think you can still get them at like

9:00

Walmart and Target. I promise you it's

9:01

not sponsored. Orange Cream Pop. Orange

9:04

Cream Pop Ice Breakers. And they

9:05

actually taste like orange cream pop.

9:08

So yes, I will have some chemicals.

9:09

Okay, but anyway, understand this. There

9:12

there's a link between hormones and and

9:15

anti-depressant drugs that can actually

9:17

lead to delusions or other problems.

9:19

Like consider this. 8.1% of individuals

9:23

who took anti-depressants self- admitted

9:26

to Yale that they ended up going into

9:28

mania or psychosis, which basically

9:31

means that anti-depressant drugs, which

9:33

are supposed to make you better, could

9:35

end up making you worse and you're more

9:36

likely to get these drugs if you're

9:39

potentially deemed trans with a mental

9:41

health issue. Oh, here's a drug to solve

9:42

your problem. I'll give you three

9:44

examples of the three most popular

9:46

anti-depressants today. Number one,

9:48

Zoloft uh found by Case Western to

9:51

provoke or exacerbate positive psychotic

9:55

symptoms. Positive not meaning it was

9:57

good to be psychotic, meaning that yeah,

9:59

no, those symptoms are psychotic

10:01

positive, which is bad. Little

10:03

confusing. Prozac was found by Harvard

10:05

to endorse subtle psychotic like

10:08

symptoms like quote magical thinking,

10:11

unusual perception experiences,

10:14

believing others were talking about them

10:15

when they weren't, picking up hidden

10:17

meanings, and not trusting close

10:19

acquaintances. Then you have Lexapro,

10:21

which was which is the third one of the

10:23

third most popular anti-depressants,

10:24

which is thought to cause delirium in

10:26

certain children who were given Lexapro,

10:28

which is also sad that some children are

10:30

given this, like nine-year-olds. It's

10:31

crazy. uh and it's a Stafford Shire

10:33

University which found that in a

10:35

minority of depressed patients, so this

10:36

is a smaller percentage but still some

10:38

in some depressed patients treatment

10:40

with an anti-depressant drug appears to

10:42

initiate intense suicidal thoughts and

10:45

actions. That's not good. Now, some of

10:48

this could actually be because of the

10:51

half-life of some of these drugs.

10:52

Consider this, the half- lives. By the

10:55

way, you can get all my data and the

10:56

links to my research on the Meet Kevin

10:59

app. Just download the Meek Kevin app on

11:01

the Apple or Android app store. You

11:02

could customize notifications for things

11:04

that I talk about and you can get all my

11:06

sort of data. But anyway, Zoloft has a

11:08

halfife of 26 hours. Prozac 48 to 96 and

11:11

Lexapro 27 to 32. This means if you skip

11:14

a day of your meds with Zolaf or

11:16

Lexapro, you end up getting this like

11:20

rapid rush of negative emotion which

11:23

increases suicidal thought. So the

11:25

shorter the halflife, the more likely it

11:27

is that you're going to get what are

11:28

called discontinuation symptoms such as

11:30

anxiety, irritability, irritability,

11:32

mood swings, and suicidal thought

11:34

because those negative thoughts come

11:36

rushing into your brain much more

11:38

quickly. This is all a problem. So how

11:40

does this all potentially relate back to

11:41

the Kirkshooter? Well, it relates back

11:43

to the Kirkshooter because there's

11:44

potentially an association here with

11:46

being ostracized in life and having a

11:48

transgender partner, but beyond that,

11:50

not just living with a transgender

11:52

roommate. It's also worth noting that

11:54

the individual described himself as a

11:57

hick in Mormonsville. It almost seemed

12:00

like he was always I mean in some

12:02

articles he's described as a meme from

12:04

Halloween which is weird. Like it kind

12:06

of sounds like he was looking for a home

12:08

in community and he was really always

12:10

ostracized like kind of like an outcast

12:13

in a community and he never really found

12:15

home. I mean, there's even talk that he

12:17

went to college, but he only ended up

12:20

going to college for about a quarter.

12:23

Take a look at this Wall Street Journal

12:24

piece. Utah State said he attended the

12:26

school for just one semester. Sorry, not

12:27

a quarter, one semester. More recently,

12:29

he he had been enrolled in the

12:30

electrical apprenticeship program at

12:32

Dixie Technical College, where he is a

12:34

third-year student, which is great. I

12:35

mean, I'm all for like handson uh you

12:38

know, tech and trade skills these days.

12:40

When I ran for governor, I ran under we

12:42

need more technical and trade skills. I

12:43

think this is great. But the thing is,

12:45

you could see like he bounces around in

12:48

his life. Now, something else that's

12:49

really weird as well. I mean, obviously

12:51

he was smart enough uh to Yeah, here it

12:53

is. Some guy from a meme for Halloween

12:56

according to his mother. His mother

12:58

called him some guy from a meme

13:00

basically. But but understand, it's not

13:03

just this. Here's an individual who uh

13:06

went to college, couldn't make it at

13:08

college, grew up in potentially a small

13:12

really religious conservative town, and

13:14

maybe he had underlying mental illness

13:17

or tendencies that would have aligned

13:19

with maybe a transgenderism or, you

13:22

know, other sexual desires that wouldn't

13:24

align with a highly religious household.

13:27

Consider this also. Not only was it the

13:30

minister and the father who ended up

13:32

turning in uh the Charlie Ko assassin,

13:35

Tyler Robinson, but Tyler Robinson is

13:40

somebody who's considered to have

13:42

previously been a big fan of hunting

13:45

with his family. So potentially he was a

13:47

good shot. And his mother, this was an

13:50

interesting one, was a social worker.

13:52

Now this is really interesting because

13:54

see, state records show his parents own

13:55

a custom countertop business and his

13:57

mother is a licensed social worker. and

13:58

he grew up hunting. Okay, this is really

14:00

interesting. Again, in a small town, so

14:02

probably small conservative town, really

14:04

strict sort of religious upbringing. Not

14:06

saying that's bad or or negative. I'm

14:08

just saying if you are one of those rare

14:10

people who then has mental health issues

14:12

and you're on anti-depressants, you're

14:13

really going to get squeezed out of this

14:15

society. And then you're trying to call

14:17

yourself like, oh yeah, you know, I'm

14:18

just a hey, I belonged over there. And

14:20

then you go to a Mormon school, it's

14:22

like, man, I can't belong over here

14:23

either. And it ends up in trade school.

14:24

It shows this is a person who's bouncing

14:26

around looking for a home, looking for

14:28

companionship, right? But his mother

14:31

being a social worker, who else was a

14:33

social worker? Well, Thomas Matthew

14:36

Krooks, the person who shot Donald Trump

14:40

in the ear and tried to assassinate

14:42

Donald Trump. Tyler or Thomas Matthew

14:45

Krooks, both of his parents were social

14:47

workers. So then it makes you wonder

14:49

like are social workers more likely to

14:52

ignore their own children while they're

14:54

dealing with other children? Are they

14:55

more likely to prescribe the

14:57

anti-depressant medication because

14:59

that's just what they're used to do? I

15:00

don't know that social workers prescribe

15:01

that would recommend that to doctors who

15:03

then prescribe it. Uh you know, are they

15:05

more likely to do things that would

15:06

actually end up ostracizing their

15:08

children into these sort of situations?

15:11

I I don't know. That's pure speculation,

15:13

right? Like my goal is always to

15:14

separate, hey, here's where we have

15:16

data. Here's what we know and then

15:18

here's perspective around that. Like for

15:21

example, fact, Donald Trump is asking

15:24

Congress for $58 million of emergency

15:27

funding for protection for the Supreme

15:30

Court. Okay, now that's interesting.

15:32

Like obviously all of us were like, oh

15:34

yeah, you know, hey, there's more

15:36

political violence today. Like we want

15:37

to make sure the Supreme Court is safe,

15:39

right? Of course. Of course we do. And

15:41

like nobody wants to see less security

15:43

for the Supreme Court. this is a very

15:45

important institution for the United

15:47

States. That's all like fact. We know

15:48

that. But it's also kind of a perfect

15:51

time to set up, hey, under the guise of

15:54

security, the first people I'm going to

15:55

take care of the Supreme Court because,

15:57

you know, if you scratch my if I scratch

15:58

your back, you know, you better scratch

16:00

mine because y'all are about to rule on

16:02

tariffs. Okay. Is that like I was

16:05

looking at this actually this morning. I

16:06

thought this was very interesting. How

16:08

often justices voted in favor of each

16:10

administration? Uh, Alto 95% for Trump.

16:14

Gorsuch 95% for Trump. Kavanaaugh 89%

16:19

for Trump. You see where I'm going with

16:20

this here? So, even the Supreme Court is

16:22

potentially politically biased. These

16:24

numbers here are facts. Now, of course,

16:27

we don't know like things that don't

16:29

come out in public rulings like

16:30

emergency hearings and some things that

16:32

are just done behind closed doors at the

16:33

Supreme Court. We don't know if they're

16:35

like hidden descent votes or you know

16:37

what other things there could be. But

16:39

what we know on actual rulings, we can

16:41

look at the facts and go, "Wow, Jackson

16:44

never votes for Trump or in favor of

16:46

Trump." Not to only votes in favor of

16:48

Trump 11% of the time and Kagan votes

16:50

26% in favor of Trump. Robert's at 74%.

16:54

Now, in terms of when you flip the

16:56

script and you look at in favor of

16:58

Biden, Jackson, who voted 0% for Trump,

17:01

voted 77% of the time for Biden. So, 88%

17:04

of the time for Biden, 82% of the time

17:07

for Kagan. Roberts was in the middle

17:09

here, 53 along with Barrett, 53 for

17:11

Biden. And then you look at Alto,

17:13

Gorsuch, Kavanaaugh, Thomas, who were

17:15

all really, really, really low uh or uh

17:18

for, you know, really, really high I

17:19

should say for Trump. They were in that

17:21

order, 95, 95, 89, 89 for Biden, 18, 29,

17:25

41, 18%. So

17:29

don't kid yourself. The Supreme Court is

17:31

politically biased as well. We know this

17:34

factually. This is why it's always a

17:36

desire to elect the president of your

17:38

party because you know that they're

17:39

going to end up at some point appointing

17:41

Supreme Court justices and you see them

17:44

as sort of a tool for doing what your

17:45

party wants. Okay, we know this. This is

17:47

old news. But like again, this is where

17:50

I give facts and data and and then try

17:52

to provide perspective around that. Now,

17:54

political violence is ramping up. We

17:57

know this. But it's not just political

17:59

violence against one side. You know,

18:01

Trump will have you believe it's just

18:02

radical leftists who are only attacking

18:05

right-wingers, but this is happening on

18:08

both sides. And it's really important to

18:10

consider that. Like, let's consider

18:12

political violence for a moment. So, the

18:14

Kirk assassination was against a

18:15

Republican. The Trump assassination was

18:17

against a Republican. J6 that was

18:19

against Democratic establishment. Dabby

18:22

Gfords, Democratic shooting, that was

18:24

2011. More recently, Steve Scaliz, that

18:27

was against a Republican. The attack of

18:28

the Pelosi house is an attack against a

18:30

Democrat. The shootings of Democrat

18:33

Hortman, her husband and her fatally

18:35

shot. It's an attack against Democrats.

18:37

John Hoffman in that same shooting

18:39

different uh Democratic uh uh you know

18:42

congressional representative shot

18:45

survived. They can attack against the

18:47

Democrat, right? At the same time,

18:49

political violence is up. Like we look

18:51

at data and we can see that threats

18:53

against congressmen and women are up to

18:55

9,474

18:57

in 2024 up from 3,939

19:00

in 2017. That is quite a lot more. I

19:04

mean 9474 divided by 3939 equals 2.4x

19:09

of a rise in threats against congressmen

19:11

and women. Now, of course, some people

19:12

argue that, you know, politicians are

19:14

ramping up the the sort of like

19:17

temperature in terms of attacking the

19:19

other side verbally, leading to

19:20

potentially more aggression here. I

19:22

actually think one of the big problems

19:24

could be artificial intelligence and

19:26

algorithms like whether it's YouTube or

19:29

Twitch or Twitter or whatever. Uh these

19:32

are platforms that tend to promote uh

19:36

sort of extreme opinion. When you have

19:39

extreme opinion, you get really staunch

19:41

supporters and really staunch haters.

19:43

And that's how you get dialogue. That's

19:45

seen as interaction by the algorithms

19:47

and they promote the extreme. People

19:50

like me tend to get less engagement

19:53

online because what we say is sort of

19:56

like you listen to it, you're like,

19:57

"Yeah, I mean that all makes sense." You

20:01

know, yeah, that's that's reasonable.

20:03

And there are going to be Democrats like

20:05

that's reasonable. And there going to be

20:07

Republicans like that's reasonable.

20:08

There are even going to be transgender

20:10

people like that's reasonable. You know,

20:12

like that doesn't get you yelling at me

20:15

Kevin on TikTok, right? So like

20:19

unfortunately like that's that's the

20:21

downside of providing neutral

20:23

information, but it's actually I think

20:25

in the long term what is best for

20:26

society. That's why I do it, you That's

20:29

why I don't go down the rabbit hole of

20:30

one side because I just have my own

20:32

mental justification that what is best

20:34

for the world is just somebody who's

20:37

able to look at both sides. In fact,

20:39

what we find statistically is that when

20:41

people are very ingrained in one side,

20:44

they actually tend to misinterpret

20:46

people from the other side. So people

20:48

who are like super left often

20:50

misinterpret that people on the right

20:52

are kind of not that different from

20:53

them. And then vice versa, like people

20:55

on the right are like, "Oh, Democrat,

20:57

you know, like they often tend to

20:59

misinterpret that, you know, the other

21:01

person's not that different." And it

21:03

gets worse the more extreme you are to

21:05

the left or right, the less interested

21:08

you are in even considering the

21:10

perspectives of the other side. So this

21:12

is all really important because it sort

21:14

of helps us understand why political

21:16

violence is skyrocketing. Now, don't get

21:18

me wrong, political violence has always

21:20

occurred. I mean, you could go to the

21:21

late 1890s and look through literally

21:24

from the late 1890s all the way through

21:26

the mid 1900s and black Americans got

21:29

slaughtered publicly like lynched during

21:31

the Jim Crow era and this was deemed

21:33

normal. Okay, this that's crazy and that

21:35

was deemed normal. Okay, then you got

21:37

MLK Jr. shot, George Wallace shot,

21:39

survived, MLK died, uh RFK was shot, not

21:42

RFK Jr., uh JFK was shot, right? Uh so

21:46

like these are things that have happened

21:48

in historically like we have political

21:50

violence whether you're an activist or a

21:52

president. Onethird of presidents in the

21:54

20th century have experienced

21:56

assassination attempts and two of them

21:58

were killed. Think about that. In a 100

22:00

years 33% of our presidents experienced

22:02

assassination attempts and two of them

22:04

were killed. Then on the flip side, you

22:07

have people like Luigi Magelani who he's

22:10

basically considered like a folk hero

22:12

now for attacking uh and and killing the

22:15

father of of you know I think three

22:17

children because he was the CEO of

22:20

United Health which you know I'm not

22:22

here to show for the insurance

22:23

companies. I'm just sh saying like it

22:25

shows you that to some extent societyy's

22:27

kind of like in some cases hell yeah

22:29

which is just this weird duality because

22:31

right now people are like hell no. In

22:33

fact, it's so crazy that in San

22:35

Francisco, there's literally a musical

22:37

that is booked out called Luigi the

22:39

Musical. A tale of love, murder, and

22:42

hash browns. San Francisco Bay Area. You

22:44

can't make this stuff up. So, yeah, like

22:47

these are real issues in our society.

22:50

How are we going to solve this?

22:51

Extremism spreads more on social media.

22:53

How do you prevent that? I don't know. I

22:55

don't write the algorithms, right? There

22:57

is a link between transgenderism and

22:58

mental health problems. Okay, we know

23:00

that. And we've got, you know, Trump

23:03

kind of using these sort of events to

23:05

not only scratch the backs of the people

23:07

that he needs help from, but you know,

23:09

he also uses stuff like this to win

23:11

elections. And this is why usually

23:15

politicians

23:16

amplify this rather than talking it

23:18

down. They kind of amplify this stuff

23:20

because ultimately they end up

23:22

benefiting by getting votes. By the way,

23:25

here's a picture allegedly of the

23:27

transgender roommate. It's shared by

23:29

Benny. So, you know, I I I'm going to

23:31

take it just a little bit with a grain

23:32

of salt just because, you know, I'd like

23:34

to try to be here in the middle as much

23:36

as possible. Uh, and look, there's no

23:38

shortage of stuff on the internet here

23:41

about this individual. But, uh, let's

23:43

just try to keep it as straight as

23:45

possible. And hopefully this was

23:46

insightful to you. If it was, consider

23:48

subscribing. Thank you so much for being

23:49

here. We'll see you in the next one.

23:50

>> Why not advertise these things that you

23:52

told us here? I feel like nobody else

23:54

knows about this.

23:54

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

23:56

see how it goes.

23:57

>> Congratulations, man. You have done so

23:58

much. People love you. People look up to

24:00

you.

24:00

>> Kevin Pafra there, financial analyst and

24:02

YouTuber. Meet Kevin. Always great to

24:04

get your take.

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