TOK Essay Title #4 May 25 Evidence & Breakdown [TOOLS] | Get an A in TOK

Summary

This video provides in-depth guidance on selecting and structuring an essay around the 2025 Theory of Knowledge title: 'Do the ever-improving tools of an area of knowledge always result in improved knowledge?' The presenter breaks down approaches for organizing evidence, using both tangible and intangible tools across various disciplines, such as the internet in human sciences, algorithms in business, and CRISPR in natural sciences. The speaker emphasizes analyzing examples from multiple perspectives, highlighting that the answer is often nuanced rather than absolute, and offers practical tips and resources for viewers to excel in their essays.

Takeaways

• 😀 The speaker recommends essay title number four, emphasizing that it's an easy way to score well and encourages viewers to choose it.
• 📚 The video provides numerous notes and examples to help viewers understand the topic thoroughly, focusing specifically on human sciences.
• 🔧 The essay topic discussed revolves around whether ever-improving tools in an area of knowledge (AOK) always result in improved knowledge.
• 🧠 The speaker suggests organizing the essay by exploring different levels of correlation between improved tools and improved knowledge, rather than simply stating 'yes' or 'no'.
• 💡 The speaker emphasizes that tools might improve knowledge, but we need to determine the degree and circumstances under which this is true.
• 🌐 Examples like the internet, algorithms, and generative AI are used to show how tools sometimes improve knowledge, while at other times, they may hinder or be biased.
• 🔬 Various AOKs such as human sciences, natural sciences, and the arts are analyzed to explore how different tools impact the improvement of knowledge.
• 🎶 In the arts, the creation of new genres and the use of AI in art were highlighted as tools that impact how knowledge is transmitted, with both positive and negative outcomes.
• 🤔 The speaker advises viewers to consider prior knowledge as a factor that influences whether a new tool will effectively lead to improved knowledge.
• 💬 The video also provides practical examples of failed tools or tools with unintended consequences, such as radium use and biased algorithms, to highlight the importance of critical analysis in determining their true impact on knowledge.

Q & A

What is the main topic discussed in the video?

The video discusses strategies and tools to answer the TOK essay prompt: 'Do the ever-improving tools of an area of knowledge always result in improved knowledge?' with reference to two Areas of Knowledge (AOKs).

Why does the speaker believe the answer to the essay question is 'no'?

The speaker believes the answer is 'no' because anytime a question includes 'always' or 'never,' the answer tends to be nuanced. The speaker suggests the question should be analyzed on a spectrum, where tools may improve knowledge in some cases but not always.

What is the suggested structure for organizing the essay?

The speaker recommends organizing the essay by examining different levels of correlation between improved tools and improved knowledge. The structure includes examples of no correlation, some correlation, and reverse correlation where improved tools might hinder knowledge.

What are some examples of tools in the human sciences that improved knowledge?

Examples include the internet facilitating data collection, geospatial data mapping, game theory in economics, and algorithms used in hiring processes. These tools have led to improved knowledge by allowing wider reach, deeper analysis, and new methodologies.

How can tools sometimes hinder knowledge in the human sciences?

Tools like algorithms can embed human biases, as seen in cases where algorithms used in hiring increased racial biases instead of eliminating them. Another example is the IB's use of biased algorithms for grading students, which led to unfair results.

What is an example of a tool in the natural sciences that has both improved and hindered knowledge?

CRISPR, a tool for gene editing, has vastly improved knowledge of genetics, but ethical concerns and government regulations have sometimes hindered the progress and application of this knowledge.

How does the speaker approach the use of AI tools like ChatGPT and DALL·E?

The speaker views AI tools like ChatGPT and DALL·E as examples of 'sometimes' tools. While they can generate useful information and content, they also produce inaccuracies, as seen when AI misidentified historical figures, thus showing the limitations of these tools in improving knowledge.

What example is given from the arts to show how tools might not always improve knowledge?

An example from the arts is the use of AI to create artwork. While it may demonstrate technical skills, the speaker questions whether AI-generated art truly contributes to new knowledge or simply automates creative processes.

What is the role of new genres in improving knowledge within the arts, according to the speaker?

The speaker suggests that the creation of new genres helps in classifying and understanding knowledge. However, the process of creating new genres does not always lead to improved knowledge and can sometimes add confusion or complexity.

What advice does the speaker give for selecting Areas of Knowledge (AOKs) in the TOK essay?

The speaker advises choosing AOKs that provide a variety of examples and evidence. They suggest the human sciences and natural sciences as ideal choices due to the wealth of examples available, such as tools in economics or scientific methods like CRISPR.

Outlines

00:00

📚 Choose the Best Title for Your Essay

The speaker encourages viewers to select essay title number four, promising that it is a great choice for achieving a high grade. The video offers comprehensive notes and examples to help viewers, with a specific focus on human sciences. Viewers are also directed to the speaker's Fiverr store for additional help, including Zoom sessions for one-on-one assistance. The speaker highlights a breakdown of the essay title, explaining that it allows for a flexible choice of areas of knowledge (AOK). They advise organizing the essay around different degrees of correlation between tools and knowledge rather than a simple yes/no structure.

05:02

🧠 Human Sciences and the Role of Tools in Knowledge

The speaker discusses the internet and its role as a tool in human sciences, illustrating how it has improved knowledge gathering. Examples such as online surveys and geospatial data are mentioned as ways in which digital tools facilitate research and broaden access to information. However, the speaker emphasizes that while tools like the internet often improve knowledge, there are instances where they may not. They propose using contrasting examples to explore both the positive and negative effects of these tools on knowledge production.

10:03

🔍 Non-Physical Tools in Human Sciences: A Deeper Dive

The focus shifts to intangible tools like theories and methods in human sciences, such as game theory and cost-benefit analysis. These non-physical tools are highlighted as consistently improving knowledge, unlike some physical tools. The speaker provides examples from economics, such as the capital asset pricing model and the transition from the gold standard to fiat money, illustrating how these intangible tools lead to knowledge growth. They suggest that non-physical tools often produce better outcomes, compared to the mixed results of physical tools.

15:05

🖥️ Algorithms, AI, and Their Biases in Knowledge Creation

The speaker examines the role of algorithms and AI in knowledge creation, particularly in business and education. Citing examples such as the IB exam algorithm and hiring algorithms, they argue that algorithms, while designed to remove bias, often reflect the biases of their creators. This section introduces the idea that algorithms, despite being seen as impartial tools, can sometimes worsen knowledge production by perpetuating bias. The speaker encourages critical thinking about the impact of these tools on equity and fairness.

🧬 Technology and Ethical Dilemmas in Natural Sciences

The speaker explores the implications of technology in natural sciences, with examples like CRISPR and DNA analysis tools. While these technologies have advanced scientific knowledge, the speaker notes that they also raise ethical concerns. The discussion includes cloning and government intervention in gene editing, questioning whether all advancements in scientific tools truly lead to better knowledge. The speaker also mentions historical examples, such as the Radium Girls, to illustrate how scientific tools sometimes cause harm instead of improving understanding.

🎶 The Role of Tools in the Arts and Knowledge Transmission

In the final section, the speaker discusses how tools in the arts, like musical instruments and digital distribution, affect the creation and spread of knowledge. While these tools enhance creativity and careers, the speaker questions whether they improve knowledge itself. Genres, seen as tools for classifying music, are debated in terms of their role in knowledge transmission. The speaker also touches on AI-generated art, asking whether AI tools contribute to knowledge creation in the arts or merely serve as an extension of human skill.

Keywords

💡Ever-improving tools

This term refers to the technological or methodological advancements in a particular area of knowledge (AOK). In the video, the speaker discusses how ever-improving tools like the internet and geospatial data are thought to lead to improved knowledge. However, the central debate of the essay topic revolves around whether these tools always result in better knowledge or if there are exceptions.

💡Area of Knowledge (AOK)

An AOK refers to a specific domain or discipline in which knowledge is organized and produced. In the video, the speaker encourages choosing two AOKs, such as the human sciences or natural sciences, to explore how tools in those areas impact knowledge. The choice of AOKs is critical for organizing the essay, as the examples and tools vary across different areas of knowledge.

💡Human Sciences

The human sciences explore human behavior, societies, and culture using methods like surveys, data collection, and theory development. In the video, the speaker discusses how tools such as the internet and game theory have improved knowledge in this area by facilitating broader data collection and offering new ways to understand human behavior. The speaker also raises the question of whether these improvements are always beneficial.

💡Internet

The internet is presented as a tool that has drastically improved information gathering and research in the human sciences. It allows researchers to reach wider audiences and gather data more efficiently than before. However, the speaker also touches on the potential downsides, such as the oversimplification of knowledge or the possibility of misinformation, which ties into the essay’s core question about whether tools always improve knowledge.

💡Algorithms

Algorithms are sets of rules or processes used in calculations or problem-solving operations, especially by computers. The video highlights how algorithms in areas like human sciences and business, such as hiring practices, may be biased. For instance, an algorithm designed to eliminate bias in hiring might actually embed the biases of its creators. This is a key example of how an ever-improving tool may not always result in better knowledge.

💡Scientific Method

The scientific method is a systematic tool for acquiring knowledge in the natural sciences. It is mentioned in the video as a long-standing method used by scientists to test hypotheses and produce knowledge. However, the speaker questions whether it is an ever-improving tool and explores how its limitations might sometimes prevent the improvement of knowledge.

💡Natural Sciences

Natural sciences refer to disciplines like biology, chemistry, and physics, which aim to understand the natural world through empirical evidence and experimentation. In the video, tools in this field, like CRISPR and DNA analysis, are discussed as examples of how physical tools can lead to improved knowledge. The speaker also questions the ethical considerations and limitations that might arise when these tools do not necessarily lead to better understanding.

💡Game Theory

Game theory is a theoretical framework used in human sciences, particularly economics, to understand strategic decision-making. The speaker references game theory as an example of a tool developed in the 1950s that has significantly contributed to knowledge in economics. This illustrates how intangible tools or methods, like theories, can improve knowledge.

💡CRISPR

CRISPR is a revolutionary tool in genetic engineering that allows scientists to edit DNA with high precision. In the video, it is used as an example in the natural sciences, showing how technological advancements have drastically improved our knowledge of genetics. However, the speaker also discusses the ethical dilemmas posed by such tools, questioning whether they always lead to improved knowledge.

💡Generative AI

Generative AI, such as ChatGPT and Bard, are tools that can create content, like writing essays or generating images. The speaker discusses how these AI tools can improve knowledge by helping users learn or access information quickly. However, there are also concerns about AI generating biased or inaccurate information, showing how such tools may not always lead to knowledge improvement.

Highlights

Essay title four is a popular choice, and offers many easy evidence points for discussion.

The essay question focuses on the relationship between tools of an Area of Knowledge (AOK) and improved knowledge.

A key strategy: avoid organizing the essay into simple 'yes' and 'no' answers; instead, explore the relationship between improved tools and knowledge.

The answer to the essay question is generally 'no' because tools do not always lead to improved knowledge.

The use of the internet in human sciences has made gathering information easier, but also has limitations, especially in maintaining objectivity.

Geospatial data and game theory are examples of tools that have clearly improved knowledge in human sciences.

Non-physical tools, such as theories and practices in human sciences, almost always improve knowledge due to their adaptability.

The Capital Asset Pricing Model (CAPM) in economics is an example of a tool that mitigates risk and improves knowledge in the field.

The essay should explore both tangible (physical) and intangible (theoretical) tools to assess their role in improving knowledge.

The scientific method, while an essential tool in natural sciences, may not always be seen as an ever-improving tool but remains foundational.

Technologies like CRISPR offer examples of how new tools can raise ethical questions and hinder knowledge progression.

Music instruments and digital tools are explored as examples of how new tools in the arts may not necessarily improve knowledge.

AI and generative tools like ChatGPT and DALL-E are tangible tools that sometimes improve knowledge but also risk perpetuating biases.

The discussion of algorithms in human sciences emphasizes that tools, even technological ones, may embed the biases of their creators.

To conclude, the key point is that tools, especially technological ones, can improve knowledge, but not always, and understanding the conditions where they fail is essential for a balanced argument.

Transcripts

to essay title number four made 2025 I

love love love this one if you're

struggling to pick a title let's choose

this one and get an A and get an A and T

okay okay if you haven't seen my other

videos this is just like it you want to

pause the video here you want to

download all of my notes check just

check this out look how much notes and

examples I've got for you guys it's

ridiculous I've given you more human

science notes than any other video it's

crazy if you need extra help and I know

that you do what you want to do is click

here it's going to take you to my Fiverr

store and you're going to be able to get

a hold with me um we can zoom I just

zoomed with someone last night shout out

to Laura I'm helping her out and um I

can help you pick a title I can take a

look at your essay we can do a lot and

also remember you want to look at all of

my guides here on my website and then

you also want to um if you need help

choosing a title here's all of my titles

so far you can go here help choosing a

title finally get an ent.com freestuff

we'll give you outlines and examples I

got your back but you want to know what

examples you're going to use for title 4

well let's do this okay so first of all

if you seen my title breakdown I call

this the popular one a lot of people are

going to do this do the ever improving

tools of an area of knowledge always

result in improved knowledge discussed

with reference to two AOK so if you

choose this one you want to find easy

evidence there are so many things that

you can choose here also since we're

talking about tools you're you're just

it's really easy to stay on topic here

um what's interesting is we're talking

about tools of an AOK not necessarily

knowledge in an AOK it's just does it

produce knowledge so just really easy

evidence that's why I found so much next

if you want easy organization there are

two different ways that we can do this

the easy organization is yes and no but

we're going to go a little bit beyond

that I'm going to help you out with that

then finally choose this if you want to

choose your own AOK because this one

lets you choose anything some people

like not having to worry about which

ones to choose because you just get

started really quickly this one let you

choose any a okays that's good for some

people bad for some people okay so my

tip is this do not organize into yes and

no instead we're going to look at what

at our relationship with the word always

because remember the answer is clearly

no anytime a to okay question says

always we or never we know that the

answer is no so the answer is clear no

so you want to find out the degree to

which the statement is true so it's no

but most of the time no but almost all

the time or no but sometimes so what

you're going to do is organize it in

this way there's no correlation between

improved improv tools and knowledge some

correlation you have an example where it

does create groundbreaking knowledge and

then a reverse correlation so improved

tools um made knowledge Improvement

worse made um knowledge production worse

knowledge um sharing knowledge worse

anything like that so we want to find

something that fits in all of these

examples there's many more things that

we can do we can also compare but these

are my three four different things that

I'm looking at for where maybe on a

scale or on an access the relationship

between an improved tool and improved

knowledge exists okay so with that said

let's jump into the human Sciences

remember if you haven't downloaded this

yet what are you doing okay so what I

start thinking about with Sciences is

how has the internet which we would say

is a tangible tool how has the internet

affected information gathering so um

before the internet a human scientist

would have to go talk to people hand out

paper surveys go to large crowds now

they don't have to do that so you can

look at this article to think about how

the internet has facilitated with in the

internet digital media being an Ever

improving tool how it has improved um

information and um What's the phrase

improve improved knowledge so we can

interpret that in so many different ways

so it's made it easier for example to

gather um answers so that's totally

improved knowledge also um we are able

to reach out to a wider variety of

people geographically that's going to

improve knowledge also is probably um a

yes so how can you find a way for this

to be a no that would be a really good

way because a lot of these are just like

very clearly yes and that's why there's

the always in the title

so um try to be more than just yes the

internet is

helpful okay so so what okay um I found

this one geospatial data this is new and

new in Cutting Edge tool it's using um

digital tools to map out data so the

answer with this one is also very very

clearly a yes so what you want to think

about is here's what it's doing here's

how it's improving knowledge and how

could it not lead to a knowledge about

humans and Society um I think I really

think it's going to so what we want to

think with both of these is that um or

what we could draw the conclusion that

we could draw is that um the internet is

in the human Sciences almost always

going to lead to an improvement in

knowledge um some other tools I'm trying

to get a little bit a little bit deeper

than just the ones that came to the top

of my head so game theory developed in

1950s and it has been improving it has

definitely led to improved knowledge so

do new methods of thinking

new methods of thinking um across the

human Sciences always lead to improved

knowledge this is where I might be

leaning towards a yes because what I'm

doing here and you'll see this in the

next examples I bring up these

intangible tools so practices or methods

which definitely are tools in the human

Sciences they're they're not going to be

used if they don't lead to um truth

they're not going to be used if they

don't improve knowledge so the answer

for in immaterial to tools in the human

Sciences might actually be yes and

that's where we can get kind of

interesting okay um looking at economics

the capital asset pricing model it's a

tool in economics which creates the

knowledge of what is needed to mitigate

risk so this is what I just said I was

getting ahead of myself yes do

non-physical tools always lead to an

improvement in knowledge so maybe that's

where we're going to go a physical a

physical tool such as the internet not

physical but tangible tool um might be

something that sometimes improves

knowledge but when we get to um theories

and practices and methods um maybe that

always does or almost always does

another Simple Thing cost benefit

analysis you can't hold it but it's used

everywhere outside of the human Sciences

now um that's always going to lead to an

improvement in knowledge right sticking

with economics the gold standard would

be a tool a monetary tool versus Fiat

money I think it's Fiat you I don't know

how to pronounce that word that's kind

of weird but think about these tools

that were good so the gold standard was

a good way of of of Economics of

money I don't even know what I'm saying

it was a good way of um understanding

how money works but then now what we're

thinking about is that nobody's on the

gold standard anymore um we've proven

that it's not what you want to do so

this this tool has been improved upon so

did this ever improving tool that's

where we're at

now um did it increase knowledge did it

increase efficiency do we now know more

about money and trade and economics

because we've moved to this new tool of

valuing resources I would say yes um

another thing this is very popular

remember we want to stay away from just

talking about John Mayor canes and his

um his methods of um economics because

everybody does that it's like the first

thing that you learn at Econ I think so

we don't want to do that but we want we

can look at one of his methods versus a

Philips curve both of these models help

create through prediction do they always

improve knowledge once we learn more

about society and human behavior so when

we have these tools they're really good

basically until they're not so when are

they improving knowledge do they

continue to improve knowledge probably

not so what stops these tools from

continuing to improve knowledge is it

that we have new knowledge is it the

tool is really narrow and specific for a

certain time that's one of the things

that you can think about okay I love

this one uh I think a lot of people are

going to use this just because um from

this one idea there's many different

ways to go algorithms in human science

um watch this I think it's like a how

long is this video yeah it's only 13

minutes and it has just one of the

greatest quotes that we've got about um

algorithms algorithms are are opinions

embedded in code so watch this video

you'll get more examples from this video

than just the examples I give here but

basically the the thesis is that because

opinionated people create the algorithms

my opinions my leanings my biases are

inherent in those algorithms so what

happened uh I love this the IB used

algorithms in 2020 when they um

cancelled exams did I spell disastrous I

did and um my students got screwed

straight up my students got screwed

shout out to them but they're not

watching this video because the

algorithm was so biased um and so this

is a case study on just what went wrong

with the IB and then a and algorithmic

hiring practices in the business world

so business Sciences have led to

increased racism so they tried to

use they tried to use algorithms to take

the people out of the hiring process to

become more Equitable but the opposite

happened the programers inherent biases

were inside the code so many different

things there and then in this video you

will get even more example she shares

one that she was involved in where she

was told you can't have access to this

um it was in law you can't have access

to this because it's proprietary it's

our business's um intellectual property

so we don't even have to share it with

you so algorithms are totally biased

even though we think they're just code

they're just maths no they're not okay

let's go down oh no there's one more

I've got so many different things here

if you want to say thanks get a hold of

me on Fiverr you can chat me up you can

order something we can zoom I had a zoom

last night I have another one tonight at

10:00 let's go May 2025 Chap gbt and

generative AI oh I love this one this is

the tangible tool that could be used to

support a sometimes perspective and you

can use your own personal example here

think about how it can write an essay

for you you can totally cheat that's

great but then it thought that famous

white people were black so look at um

Bard this now called Gemini because Bard

was such a disaster but basically oh

there's no images here oh that's

terrible you'll find them but basically

a Bard was programmed with biases to not

show white people so when you Googled

like give me a picture of the of the

king of England it was black people show

me the founding fathers of America they

were um Asians so it can do many things

to improve knowledge like teach me

things but then it can also not always

improve knowledge by giving me things

that aren't true so chat GPT I'm going

to write

Bard doll e and we're going to come to

that one too and generative AI would

definitely be a sometimes perspective

and remember because we can um very

clearly support a sometimes perspective

the answer to the actual title is no

because they're asking always so we're

going to say no but often with this kind

of tool that's where a top score is

going to go okay so many things let's

move on to what's next Natural Sciences

okay I would not make this a main

paragraph but the scientific method

remember it is a tool now is it an Ever

improving tool I'm not really sure but I

think you can say somewhere that this is

the main tool that scientists use I like

this quote science is is a way of

thinking a tool more than it is a body

of knowledge so just keep that in mind

okay but when we got physical tools

which is what we're really thinking

about in The Natural Sciences because

their their soft their intangible tool

would be the scientific method of all of

these tools will provide simple but

shallow examples of when improved tools

led to improve knowledge so how can you

think about the implications and effects

of technology and go beyond yes so

you're going to say yes and here's what

we can learn about technology here's a

lesson here's an implication when we

think about crisper this is a good

sometimes because we think about how DNA

was first analyze it was it's crazy what

people were able to do without

technology so click this article here

and learn about how DNA was first

isolated it's wild so an Ever improving

tool for isolating and analyzing DNA but

then you can talk about how could the

ethical issues be considered not an

improvement in knowledge how could the

um these tools be hindering knowledge

and remember also the biggest hindrance

in DNA um Gene editing is actually

government so think about that one okay

uh similar to crisper how are tools used

for cloning creating and inhibiting

knowledge another big one oo I just got

an order on Fiverr as I am recording

this video that's really cool they're

chatting me up I don't know what their

name is I can't tell cuz my phone is

sideways but thanks for ordering with me

on Fiverr fiverr.com patre freaking

Jones I got your back I love this one

I've only seen a couple people do this

um you can Google the radium girls this

is a huge controversy um radium people

thought was a tool for curing so many

different things it would make metal

glow inth dark well it actually killed

people like crazy destroyed them

physically and then killed them so they

thought it was a huge tool in curing

disease it wasn't um and there's so many

things just like this okay so it did not

improve knowledge they thought it was

improving knowledge of curing diseases

it just killed people mostly women it

was really sad okay weather control I

really like this one because in

Indonesia where I used to live they

thought that they could just anybody

could grab like a laser and shoot the

clouds and cause it to be sunny I don't

know but cloud seating is now considered

effective that's totally a lot of people

do that by dropping dry ice in clouds

but other tools let me say in the past

were used to try and control the weather

they failed because of lack of

foundational knowledge of how the

atmosphere works so maybe that's how an

improved tool improves knowledge you

have you have to have a ground a

groundwork of of knowledge first and

then the tool improves knowledge so if

you have no knowledge but you have a

tool is that tool going to improve

knowledge probably not but if you have

some knowledge and then you have a tool

it probably will that's a approach that

I would take towards everything and see

how that works out with um prior

knowledge and then a tool improving on

that prior knowledge what happens okay

we're going to go to the Arts I've got a

couple of different things here first I

love this um instruments are constantly

being created every every year um and

these are a bunch of really interesting

ones so though they are tools and

they're creating new music not

necessarily new knowledge do they create

and facilitate the spread of improved

knowledge so again we have a physical

tool I don't know how much knowledge

this physical tool is actually improving

digital music has digital music

distribution helped to improve knowledge

it's helped to improve careers it's

helped to improve creativity but is it

improving knowledge in some ways yes and

in some ways no really interesting I

love genres you know this if you've

looked at my other videos so genres are

a way of collecting and understanding

knowledge do they always improve it so

this one right here is about how new

genres are created when a new genre is

created that's a new tool for

classifying oh I want to write that word

collecting classifying I export this PDF

after I make the videos and

understanding knowledge so are we always

improving knowledge transmission by

creating new genres or is it making it

more confusing interesting last one I

got I told you we were going to get to

Dolly an artist used AI to win an art

competition does this improve or share

or produce knowledge at all what is the

role of AI in creating knowledge in the

art and so that's going to come up to

the a big piece of advice I share in

like every video when I talk about the

Arts just creating an artwork we don't

want to say that's creating knowledge

because that's not necessarily true so

instead we want to think is AI art

sharing knowledge at all is it improving

knowledge at all the artist who said

this said he is demonstrating his skill

and his knowledge by working with the

computer just like I might work with

some paints um I can get that but we

want to think about how did this

improved tool we we go from computers

just helping as type to creating AB like

huge pieces of art that tool improved

how did that or did it at all improve

knowledge um I'd argue that it didn't

but I would love to see examples of how

it did disagree with me disagree with

yourself that's a key for the to essay

if you need more help I got you right

here at the very top click here you can

go to my Fiverr store fiverr.com patre

and Jones get some free examples and get

an.com freestuff check out my website

check out my channel I hope that TK

sucks a little bit less than it did at

the end of this video I'll see you in my

next one