How much do we really know about probability? | Prajna Jalagam | TEDxYouth@Gachibowli

[Applause]

[Applause] hello everyone my name is cross Angelica

hello everyone my name is cross Angelica

hello everyone my name is cross Angelica and today I’m going to be talking about

and today I’m going to be talking about

and today I’m going to be talking about math but before I get to that I would

math but before I get to that I would

math but before I get to that I would ask all of you a few questions

ask all of you a few questions

ask all of you a few questions so as you meet everyone here singing rap

so as you meet everyone here singing rap

so as you meet everyone here singing rap at a certain point of time or is

at a certain point of time or is

at a certain point of time or is currently studying math how do you enjoy

currently studying math how do you enjoy

currently studying math how do you enjoy taking math now keep your hands up

taking math now keep your hands up

taking math now keep your hands up now all with your hands up how many you

now all with your hands up how many you

now all with your hands up how many you enjoy learning about probability well I

enjoy learning about probability well I

enjoy learning about probability well I see a lot of hands dropping in the

see a lot of hands dropping in the

see a lot of hands dropping in the audience but I’m here to try and change

audience but I’m here to try and change

audience but I’m here to try and change them which brings me to the title of my

them which brings me to the title of my

them which brings me to the title of my talk today how much do we know about

talk today how much do we know about

talk today how much do we know about probability now I’m guessing most of you

probability now I’m guessing most of you

probability now I’m guessing most of you know you going to us it’s probably the

know you going to us it’s probably the

know you going to us it’s probably the most common scenario

most common scenario

most common scenario when it comes to probability

when it comes to probability

when it comes to probability calculations every coin has a headed eto

calculations every coin has a headed eto

calculations every coin has a headed eto of the car building in peach or getting

of the car building in peach or getting

of the car building in peach or getting each side and or two equals your

each side and or two equals your

each side and or two equals your windpipe correct well I’m saying that

windpipe correct well I’m saying that

windpipe correct well I’m saying that this could potentially be wrong when we

this could potentially be wrong when we

this could potentially be wrong when we toss it going we are talking to you but

toss it going we are talking to you but

toss it going we are talking to you but there are only two possibilities that

there are only two possibilities that

there are only two possibilities that could happen either the head faces up or

could happen either the head faces up or

could happen either the head faces up or the Tilden’s which does see my rationale

the Tilden’s which does see my rationale

the Tilden’s which does see my rationale of course less but what we think about

of course less but what we think about

of course less but what we think about it what if the coin were to fall on

it what if the coin were to fall on

it what if the coin were to fall on catch or if the coin was great into two

catch or if the coin was great into two

catch or if the coin was great into two million if we think about it it’s

million if we think about it it’s

million if we think about it it’s entirely possible for they’re going to

entirely possible for they’re going to

entirely possible for they’re going to be swept away by a bird before the toss

be swept away by a bird before the toss

be swept away by a bird before the toss complete now I am going to be the

complete now I am going to be the

complete now I am going to be the audience may be arguing that every event

audience may be arguing that every event

audience may be arguing that every event I just spoke about is an impossible

I just spoke about is an impossible

I just spoke about is an impossible event but this brings me to the

event but this brings me to the

event but this brings me to the possibility of a set of infinite

possibility of a set of infinite

possibility of a set of infinite possibilities for a given event now what

possibilities for a given event now what

possibilities for a given event now what this means for this situation is that

this means for this situation is that

this means for this situation is that the probability of getting a heads is

the probability of getting a heads is

the probability of getting a heads is equal to the probability of getting a

equal to the probability of getting a

equal to the probability of getting a tails which is not equal to 0.5

tails which is not equal to 0.5

tails which is not equal to 0.5 now with working on to a few more

now with working on to a few more

now with working on to a few more examples I wouldn’t be talking about a

examples I wouldn’t be talking about a

examples I wouldn’t be talking about a few common terms that I’ll be using a

few common terms that I’ll be using a

few common terms that I’ll be using a lot from here on now a set-aside is a

lot from here on now a set-aside is a

lot from here on now a set-aside is a collection of data or in our case of

collection of data or in our case of

collection of data or in our case of legal collection and possibilities for

legal collection and possibilities for

legal collection and possibilities for an outcome for which

now a sample size is the number of

now a sample size is the number of individual data pieces or possibilities

individual data pieces or possibilities

individual data pieces or possibilities in that given set in other terms it can

in that given set in other terms it can

in that given set in other terms it can be said to be the size percent now Cuba

be said to be the size percent now Cuba

be said to be the size percent now Cuba is an inhumane always called bully

is an inhumane always called bully

is an inhumane always called bully instead of an a happening and it’s type

instead of an a happening and it’s type

instead of an a happening and it’s type weighted using the common formula now

weighted using the common formula now

weighted using the common formula now the next the next term which does give a

the next the next term which does give a

the next the next term which does give a giving me expresses a concept called

giving me expresses a concept called

giving me expresses a concept called conditional probability and it is time

conditional probability and it is time

conditional probability and it is time video using falling formula however we

video using falling formula however we

video using falling formula however we will be using this formula

will be using this formula

will be using this formula for more problem we’ll be using the

for more problem we’ll be using the

for more problem we’ll be using the condition conditional probability and

condition conditional probability and

condition conditional probability and the term itself

the term itself

the term itself now what this expresses is an

now what this expresses is an

now what this expresses is an interdependence or interpolation between

interdependence or interpolation between

interdependence or interpolation between the two events and me and it will be

the two events and me and it will be

the two events and me and it will be used from Excel to become assistant

used from Excel to become assistant

used from Excel to become assistant before let’s talk about the weather now

before let’s talk about the weather now

before let’s talk about the weather now I’m sure most of you here know that we

I’m sure most of you here know that we

I’m sure most of you here know that we know how we know but how the weather is

know how we know but how the weather is

know how we know but how the weather is going to be over the next few days

going to be over the next few days

going to be over the next few days because of forecasts and I’m sure most

because of forecasts and I’m sure most

because of forecasts and I’m sure most of you also know that forecast is the

of you also know that forecast is the

of you also know that forecast is the most lovely weather planner to occur

most lovely weather planner to occur

most lovely weather planner to occur that is the weather part of the high

that is the weather part of the high

that is the weather part of the high schoo that we have occurring so we

schoo that we have occurring so we

schoo that we have occurring so we probably consider one thing whether for

probably consider one thing whether for

probably consider one thing whether for Miss Excel is to be pre accurate but on

Miss Excel is to be pre accurate but on

Miss Excel is to be pre accurate but on many occasions it can seem us now it’s

many occasions it can seem us now it’s

many occasions it can seem us now it’s probably why we are always often a lot

probably why we are always often a lot

probably why we are always often a lot of jokes in our professions but exactly

of jokes in our professions but exactly

of jokes in our professions but exactly how unreliable are these weather

how unreliable are these weather

how unreliable are these weather forecasts so all the observations made

forecasts so all the observations made

forecasts so all the observations made about a specific areas temperature

about a specific areas temperature

about a specific areas temperature humidity

humidity

humidity air-conditioned such as on other such

air-conditioned such as on other such

air-conditioned such as on other such atmospheric conditions are taken to come

atmospheric conditions are taken to come

atmospheric conditions are taken to come from present and past records of a

from present and past records of a

from present and past records of a specific areas weather stations now this

specific areas weather stations now this

specific areas weather stations now this smells a newly infinite set of

smells a newly infinite set of

smells a newly infinite set of possibilities of that given area to

possibilities of that given area to

possibilities of that given area to calculate the weather forecasts so we

calculate the weather forecasts so we

calculate the weather forecasts so we think about its pretty similar to an

think about its pretty similar to an

think about its pretty similar to an implicit set however there are large

implicit set however there are large

implicit set however there are large entities in the extrapolation of such

entities in the extrapolation of such

entities in the extrapolation of such data which are created to chaos this

data which are created to chaos this

data which are created to chaos this unfortunately also means that in areas

unfortunately also means that in areas

unfortunately also means that in areas with our small unknowns in the weather

with our small unknowns in the weather

with our small unknowns in the weather that ultimately result in large

that ultimately result in large

that ultimately result in large fluctuations in forecasting be quite

fluctuations in forecasting be quite

fluctuations in forecasting be quite unreliable

unreliable

unreliable therefore extremely dangerous weather

therefore extremely dangerous weather

therefore extremely dangerous weather situations can obviously be as well

situations can obviously be as well

situations can obviously be as well because the number of times the weather

because the number of times the weather

because the number of times the weather was occurred far outweighs the number of

was occurred far outweighs the number of

was occurred far outweighs the number of times a strange occurrence of weather

times a strange occurrence of weather

times a strange occurrence of weather has occurred in the same area let’s take

has occurred in the same area let’s take

has occurred in the same area let’s take for example the data collected from the

for example the data collected from the

for example the data collected from the a fictional town a now over here we can

a fictional town a now over here we can

a fictional town a now over here we can see that under our view instead of

see that under our view instead of

see that under our view instead of common conditions a number of times

common conditions a number of times

common conditions a number of times normal weather to just sunny cloudy or

normal weather to just sunny cloudy or

normal weather to just sunny cloudy or rainy days is a high number one compared

rainy days is a high number one compared

rainy days is a high number one compared extreme others occur in fact we can say

extreme others occur in fact we can say

extreme others occur in fact we can say that the number of times extreme others

that the number of times extreme others

that the number of times extreme others occur is quite insignificant now but

occur is quite insignificant now but

occur is quite insignificant now but when we think about it short in about on

when we think about it short in about on

when we think about it short in about on our short period of time after what the

our short period of time after what the

our short period of time after what the predictions can be made because when we

predictions can be made because when we

predictions can be made because when we think about it we’re taking into account

think about it we’re taking into account

think about it we’re taking into account that we straight recruit some other and

that we straight recruit some other and

that we straight recruit some other and every outlier Medus taken place in a

every outlier Medus taken place in a

every outlier Medus taken place in a given area

given area

given area however I do scientific methods of

however I do scientific methods of

however I do scientific methods of meteorology rely on running multiple

meteorology rely on running multiple

meteorology rely on running multiple simulations to increase their their

simulations to increase their their

simulations to increase their their sample space which is their view

sample space which is their view

sample space which is their view increases their accuracy by but this

increases their accuracy by but this

increases their accuracy by but this importunately also means that a bias

importunately also means that a bias

importunately also means that a bias forecast occurred in my opinion as to

forecast occurred in my opinion as to

forecast occurred in my opinion as to programming the simulations increase the

programming the simulations increase the

programming the simulations increase the probability in favor of the

probability in favor of the

probability in favor of the the past now this approach also ignores

the past now this approach also ignores

the past now this approach also ignores the possibility of a new weather

the possibility of a new weather

the possibility of a new weather occurrence the Lyman pass sentence does

occurrence the Lyman pass sentence does

occurrence the Lyman pass sentence does basic unreliable in the sense that for

basic unreliable in the sense that for

basic unreliable in the sense that for calculations are powerful you’ve not

calculations are powerful you’ve not

calculations are powerful you’ve not taken to account

taken to account

taken to account you are part of the q7 now this abortion

you are part of the q7 now this abortion

you are part of the q7 now this abortion wheel is a feasibility use an existence

wheel is a feasibility use an existence

wheel is a feasibility use an existence of an influence that in terms of our

of an influence that in terms of our

of an influence that in terms of our weather forecasts to predict that is the

weather forecasts to predict that is the

weather forecasts to predict that is the main risks with examples is once again

main risks with examples is once again

main risks with examples is once again divided and it Swiss Gogi of

divided and it Swiss Gogi of

divided and it Swiss Gogi of salsa question so what if this could be

salsa question so what if this could be

salsa question so what if this could be solved but if we define the term

solved but if we define the term

solved but if we define the term infinite set for consideration

infinite set for consideration

infinite set for consideration now when we think about it and

now when we think about it and

now when we think about it and Infinite’s that can be drawn parallel to

Infinite’s that can be drawn parallel to

Infinite’s that can be drawn parallel to a universal set now a universal set is a

a universal set now a universal set is a

a universal set now a universal set is a defined mathematical concept like exists

defined mathematical concept like exists

defined mathematical concept like exists of every single possibility or database

of every single possibility or database

of every single possibility or database in a given concept or theory it is

in a given concept or theory it is

in a given concept or theory it is represented by the tongue are you now

represented by the tongue are you now

represented by the tongue are you now who wished if we wish to visualize this

who wished if we wish to visualize this

who wished if we wish to visualize this Universal set in terms of a set diagram

Universal set in terms of a set diagram

Universal set in terms of a set diagram here’s how we can do now when we talk

here’s how we can do now when we talk

here’s how we can do now when we talk about a sample space or an infinite set

about a sample space or an infinite set

about a sample space or an infinite set this boundary of the universal set

this boundary of the universal set

this boundary of the universal set pushes the penny if I may even may say

pushes the penny if I may even may say

pushes the penny if I may even may say surpasses the boundaries of the finite

surpasses the boundaries of the finite

surpasses the boundaries of the finite and quantifiable sample space so now the

and quantifiable sample space so now the

and quantifiable sample space so now the set Dargo looks a little more like this

set Dargo looks a little more like this

set Dargo looks a little more like this for influenza because the boundary is

for influenza because the boundary is

for influenza because the boundary is not defined but the problem with this is

not defined but the problem with this is

not defined but the problem with this is that many contradictions are rise when

that many contradictions are rise when

that many contradictions are rise when it comes to

in terms that you know games for defined

in terms that you know games for defined and closed sets of possibilities or an

and closed sets of possibilities or an

and closed sets of possibilities or an event which started to fight now let’s

event which started to fight now let’s

event which started to fight now let’s say for example the pub believe me

say for example the pub believe me

say for example the pub believe me coming to school on a big day in this

coming to school on a big day in this

coming to school on a big day in this case only two possible or two events

case only two possible or two events

case only two possible or two events that can happen either a I come to

that can happen either a I come to

that can happen either a I come to school for me I don’t know the duration

school for me I don’t know the duration

school for me I don’t know the duration for which I attend class whether I’m are

for which I attend class whether I’m are

for which I attend class whether I’m are present and whether I fall sick in

present and whether I fall sick in

present and whether I fall sick in between has no effect on the current odd

between has no effect on the current odd

between has no effect on the current odd whether it is imparted of countless a

whether it is imparted of countless a

whether it is imparted of countless a part of a movie by physically entering

part of a movie by physically entering

part of a movie by physically entering the premises for even a second the trial

the premises for even a second the trial

the premises for even a second the trial is mounted up artist at eight now even

is mounted up artist at eight now even

is mounted up artist at eight now even then there are some examples and support

then there are some examples and support

then there are some examples and support the existence of an Indian set let’s

the existence of an Indian set let’s

the existence of an Indian set let’s take for example surgeons there

take for example surgeons there

take for example surgeons there databases of the infinite access or

databases of the infinite access or

databases of the infinite access or unlimited access to information if I may

unlimited access to information if I may

unlimited access to information if I may say and they use humans too in a way

say and they use humans too in a way

say and they use humans too in a way distribute this infirmary

distribute this infirmary

distribute this infirmary information using the occurs with

information using the occurs with

information using the occurs with keywords and relevance by basically

keywords and relevance by basically

keywords and relevance by basically viewers to allow us to find information

viewers to allow us to find information

viewers to allow us to find information we want very easily so it can easily be

we want very easily so it can easily be

we want very easily so it can easily be asserted this is the physical thing we

asserted this is the physical thing we

asserted this is the physical thing we know to an infinite set

know to an infinite set

know to an infinite set however to time varying searches and

however to time varying searches and

however to time varying searches and user base updates we can say that the

user base updates we can say that the

user base updates we can say that the probability of finding or giving what we

probability of finding or giving what we

probability of finding or giving what we actually given said I think will be

actually given said I think will be

actually given said I think will be given keywords at any point in time is

given keywords at any point in time is

given keywords at any point in time is always changing that is in the U of A

always changing that is in the U of A

always changing that is in the U of A internet links the probability of

internet links the probability of

internet links the probability of finding ABC web page you can X Y Z P

finding ABC web page you can X Y Z P

finding ABC web page you can X Y Z P with is continuously varying now let us

with is continuously varying now let us

with is continuously varying now let us say for example if I’m trying to look at

say for example if I’m trying to look at

say for example if I’m trying to look at the answer to a certain question are

the answer to a certain question are

the answer to a certain question are probably not going to find it so that I

probably not going to find it so that I

probably not going to find it so that I want let us say for example what I try

want let us say for example what I try

want let us say for example what I try to look at the other day now

to look at the other day now

to look at the other day now unfortunately I was able to find

unfortunately I was able to find

unfortunately I was able to find which is what I’m trying to say to us

which is what I’m trying to say to us

which is what I’m trying to say to us today now even then we can say we still

today now even then we can say we still

today now even then we can say we still don’t know if it’s exits because we’re

don’t know if it’s exits because we’re

don’t know if it’s exits because we’re seeing that applies to some situations

seeing that applies to some situations

seeing that applies to some situations but in all situations it does not now

but in all situations it does not now

but in all situations it does not now what if now let’s see what version

what if now let’s see what version

what if now let’s see what version Russell exit one day

Russell exit one day

Russell exit one day now if we then go by inference set or

now if we then go by inference set or

now if we then go by inference set or infinite sample space we are considering

infinite sample space we are considering

infinite sample space we are considering one large set in which each individual

one large set in which each individual

one large set in which each individual possibility is its own separate set with

possibility is its own separate set with

possibility is its own separate set with no intersection in between this is how

no intersection in between this is how

no intersection in between this is how we move

we move

we move now according to virtue of muscles

now according to virtue of muscles

now according to virtue of muscles however there is no set of all steps

however there is no set of all steps

however there is no set of all steps that does not continue itself now this

that does not continue itself now this

that does not continue itself now this very confusing statement is what is

very confusing statement is what is

very confusing statement is what is referred to as Brussels Mary oaks and it

referred to as Brussels Mary oaks and it

referred to as Brussels Mary oaks and it discovered many contradictions or many

discovered many contradictions or many

discovered many contradictions or many limits to go to cemeteries that were

limits to go to cemeteries that were

limits to go to cemeteries that were built on non mathematical language now

built on non mathematical language now

built on non mathematical language now much like what we’re doing now now this

much like what we’re doing now now this

much like what we’re doing now now this is represented using the following

is represented using the following

is represented using the following mathematical statement now I know this

mathematical statement now I know this

mathematical statement now I know this looks very confusing which is why I’m

looks very confusing which is why I’m

looks very confusing which is why I’m going to show you all an example of all

going to show you all an example of all

going to show you all an example of all these little cuts his paragraphs now

these little cuts his paragraphs now

these little cuts his paragraphs now consider there is one word in a time in

consider there is one word in a time in

consider there is one word in a time in a very small town there’s one more but

a very small town there’s one more but

a very small town there’s one more but however he has one in addition to the

however he has one in addition to the

however he has one in addition to the customers days he only shaves men who do

customers days he only shaves men who do

customers days he only shaves men who do not shave themselves and consider that

not shave themselves and consider that

not shave themselves and consider that miss farmer did not shave himself then

miss farmer did not shave himself then

miss farmer did not shave himself then who shaves the bar this kind of

who shaves the bar this kind of

who shaves the bar this kind of contradiction is what the russell’s

contradiction is what the russell’s

contradiction is what the russell’s paradox which is dumb and you know

paradox which is dumb and you know

paradox which is dumb and you know five two hours that theory itself

five two hours that theory itself

five two hours that theory itself needless to say the universal set up our

needless to say the universal set up our

needless to say the universal set up our muse the infinite sub theory has been

muse the infinite sub theory has been

muse the infinite sub theory has been falsified now the discovery of this

falsified now the discovery of this

falsified now the discovery of this paradox allowed me to look at a lot of

paradox allowed me to look at a lot of

paradox allowed me to look at a lot of other programs but I’ve always been an

other programs but I’ve always been an

other programs but I’ve always been an interest of mine so I’m going to show

interest of mine so I’m going to show

interest of mine so I’m going to show you all of them another paradox that

you all of them another paradox that

you all of them another paradox that will probably be a lot more easier to

will probably be a lot more easier to

will probably be a lot more easier to understand and hopefully along bring you

understand and hopefully along bring you

understand and hopefully along bring you because there are all for you to honors

because there are all for you to honors

because there are all for you to honors one of them has twice as much as one

one of them has twice as much as one

one of them has twice as much as one here’s the other and these two envelopes

here’s the other and these two envelopes

here’s the other and these two envelopes are identical in terms of worship and

are identical in terms of worship and

are identical in terms of worship and sex

sex

sex so you cannot distinguish which on

so you cannot distinguish which on

so you cannot distinguish which on just like that I asked you to choose an

just like that I asked you to choose an

just like that I asked you to choose an envelope and once you choose the

envelope and once you choose the

envelope and once you choose the envelope you get to take the money

envelope you get to take the money

envelope you get to take the money inside of it but before you get to

inside of it but before you get to

inside of it but before you get to inspect the envelope I ask you if you

inspect the envelope I ask you if you

inspect the envelope I ask you if you want to switch now would you switch or

want to switch now would you switch or

want to switch now would you switch or would you have now hands up how many you

would you have now hands up how many you

would you have now hands up how many you would sociology and how many of you I’m

would sociology and how many of you I’m

would sociology and how many of you I’m guessing the rest hand interesting so

guessing the rest hand interesting so

guessing the rest hand interesting so here’s what I thought when we think

here’s what I thought when we think

here’s what I thought when we think about it at first glance so Jim Bianco

about it at first glance so Jim Bianco

about it at first glance so Jim Bianco seems quite pointless however when you

seems quite pointless however when you

seems quite pointless however when you look at this situation again we could

look at this situation again we could

look at this situation again we could possibly be twice as much as money while

possibly be twice as much as money while

possibly be twice as much as money while risking to only lose half of what we

risking to only lose half of what we

risking to only lose half of what we have now let’s talk about that we’ll

have now let’s talk about that we’ll

have now let’s talk about that we’ll push this situation if we think about it

push this situation if we think about it

push this situation if we think about it eight let us take that a is the amount

eight let us take that a is the amount

eight let us take that a is the amount of money that we have ever selected on

of money that we have ever selected on

of money that we have ever selected on this means I’ve done two possibilities

this means I’ve done two possibilities

this means I’ve done two possibilities from traveling people probability of

from traveling people probability of

from traveling people probability of occur either

occur either

occur either there’s the a vitamin

there’s the a vitamin

there’s the a vitamin meaning that we have the larger sum of

meaning that we have the larger sum of

meaning that we have the larger sum of money or there is a two-way amount of

money or there is a two-way amount of

money or there is a two-way amount of money the other people that we have the

money the other people that we have the

money the other people that we have the lesser money so if we try to calculate

lesser money so if we try to calculate

lesser money so if we try to calculate the amount of money in the other arm the

the amount of money in the other arm the

the amount of money in the other arm the expected amount of money the state

expected amount of money the state

expected amount of money the state Gration that we can derive which gives

Gration that we can derive which gives

Gration that we can derive which gives us that the sum of that the amount of on

us that the sum of that the amount of on

us that the sum of that the amount of on the money in the other on what we

the money in the other on what we

the money in the other on what we survive every day that the salad was

survive every day that the salad was

survive every day that the salad was quite obviously better than about okay

quite obviously better than about okay

quite obviously better than about okay so we are asked to download now the

so we are asked to download now the

so we are asked to download now the problem with this is that we can read

problem with this is that we can read

problem with this is that we can read about this entire equation once you’re

about this entire equation once you’re

about this entire equation once you’re such a honorable so if I wonder how to

such a honorable so if I wonder how to

such a honorable so if I wonder how to propose it

propose it

propose it as a constant and have in fact from the

as a constant and have in fact from the

as a constant and have in fact from the switching is no better than keeping the

switching is no better than keeping the

switching is no better than keeping the arm it’s all in a group chats much like

arm it’s all in a group chats much like

arm it’s all in a group chats much like attitudes which finally officer puts us

attitudes which finally officer puts us

attitudes which finally officer puts us right back the top so what I talk about

right back the top so what I talk about

right back the top so what I talk about how does any of this interest or benefit

how does any of this interest or benefit

how does any of this interest or benefit any of you any Widow

any of you any Widow

any of you any Widow I took the influence that theory that I

I took the influence that theory that I

I took the influence that theory that I constructed in later this group that

constructed in later this group that

constructed in later this group that didn’t have

didn’t have

didn’t have but it challenged me to think about what

but it challenged me to think about what

but it challenged me to think about what is when I personal probably in high

is when I personal probably in high

is when I personal probably in high school I can honestly tell you that I do

school I can honestly tell you that I do

school I can honestly tell you that I do interesting it out but then I was into a

interesting it out but then I was into a

interesting it out but then I was into a theme and then I discovered something

theme and then I discovered something

theme and then I discovered something what I wanted to show you is what I’ve

what I wanted to show you is what I’ve

what I wanted to show you is what I’ve actually learned but we can’t just see

actually learned but we can’t just see

actually learned but we can’t just see things that we are

things that we are

things that we are we need to look at them from you moron

we need to look at them from you moron

we need to look at them from you moron to start respecting now this this

to start respecting now this this

to start respecting now this this philosophy doesn’t just apply the map

philosophy doesn’t just apply the map

philosophy doesn’t just apply the map or anything we do in our lives if we can

or anything we do in our lives if we can

or anything we do in our lives if we can fool ourselves to not discuss everything

fool ourselves to not discuss everything

fool ourselves to not discuss everything we view as uninteresting at first glance

we view as uninteresting at first glance

we view as uninteresting at first glance then we have the chance to shape what we

then we have the chance to shape what we

then we have the chance to shape what we learn and teach others thank