How Maps LIE To You

00:16:39
https://www.youtube.com/watch?v=pySHMxf_Qvk

Resumo

TLDRVideo e hlalosa bohlokoa ba 'mapa mo bophelong ba motho ho tloha khale, a qala ka ponahalo ea sona ka selemo sa 6200 BCE ho leba pele. Leha ho le joalo, 'mebala e bontšang lipapatso tse fapaneng ea bontša disinformation e sehloho joalo ka ha e bonts'itsoe ke litšoantšo tse thibelitsoeng tsa foched. 'Mapa ke sesebelisoa sesebeleliswa ho feta sa sebele sa hore moahi a lemohe sebaka kapa temo tsoa moo, empa se sebelisoa ho etsa tlhahisoleseling e sa nepahalang kapa e futsanehileng kapele ho bafuputsi.

Conclusões

  • 🗺️ Maps have historical significance but can mislead.
  • 🔥 Misleading Australia fire maps spread misinformation.
  • 👶 Baby name popularity maps can be deceiving.
  • 📱 Telecom coverage maps often overstate reality.
  • 🗳️ Election maps can misrepresent voting data.
  • ❌ Kong Mountains and other nonexistent features were believed real.
  • 🏝️ Imaginary islands appeared on historical maps.
  • 🌎 Mercator map distorts real-world sizes.
  • 📍 Maps are representations, not ultimate truths.
  • 🧭 Navigation maps have specific, not universal uses.

Linha do tempo

  • 00:00:00 - 00:05:00

    Lineong tsa khale ka ho fetisisa tse kileng tsa ngolwa ke setšoantšo sa lehaha le entsoeng ka ho chekoa ka lapeng la Cattle Halikü Turki, hoo e ka bang ka 6200 BCE, ka monyaka pele ho ngolwa ha mongolo. Leha ho le joalo, limmapa li ka ba mohloli o moholo oa tlhahisoleseling e fosahetseng le thepa ka bobona. Mohlala, litšoantšo tse iketlileng li bile kamehla moo ho neng ho chesa mello naheng ea Australia ka 2019 e ileng ea hulela ho phatlalatso e fosahetseng ha e le haufi le ho pepelwa ka nako eo ke batho ba tummeng.

  • 00:05:00 - 00:10:00

    Mekhahlelo ea likhetho tsa 2016 US e bontša naha e aangoe ka mahoki le boputsoa ho ipapisitsoe le libaka tse ileng tsa khetha labaneng leng le neng le khanyetsoang. Leha ho le joalo, ho penta mabato a mafifing kapa mabala a bobebe ho ka thusa haholo ka bothata bona ba boemo ba 'nete. Limmampa tseo u tloaetseng ho li bona li letšehali e holimo li bonts'a polokelo e hokae ho ea kapa mong. Kajeno, limmampa tsa lefatše tse sebelisoang likolong tse ngata li tloha ho Mercator Projection e bonts'ang lefatse le neng le entsoe ho etsolla lipakeng le likou tse tsebang lefatšeng ka bophara.

  • 00:10:00 - 00:16:39

    Mercator Projection e bonts'a linaha tse karolong e ka leboea ea lefats'e li le khōlō ha li bapisoa le tse karolong e ka boroa, kahoo e sebelisitsoe ho kolone ho matlafatsa maikutlo a ho busa lefatše. Mefuta e meng ea mofuta ona ea limmapa e bonts'a mekhoa e fapaneng ea ho talima lefatše, empa pontšo e tloaelehileng e hloka lefatše ho bontšoa hantle kapa e fosahetse. Limmampa ha li bue 'nete e felletseng, ebile ke pontšo ea 'nete empa e sa feletseng, empa e ka hlahisa likhopolo tse fosahetseng; le hoja 'nete e felletseng e iphotla ka hare ho batho.

Mapa mental

Mind Map

Perguntas frequentes

  • U ka hlahisa pholisi le likarabo tse qaqileng tse qoqang ka tokomaneng ee?

    E ka hlahisa phapanyetsano potleng le likateng tse qoqang ka tokomaneng ena?

  • Ke eng se etsang hore meralo ea 'mapa e bonahale e sa nepahala?

    Mohlala e 'ngoe ke moralo oa mebala o sebelisitsoang ho bonts'a liqapi tse fapaneng kapa ho eketsa lintho tse khethehileng kang likoti tsa lijo-thollo tse pharalletseng.

  • Ke efe e nkiloeng sebakeng seo e bonts'ang lintlha tse etselitsoeng ho bontša sebaka hokae 'mapeng oo?

    E bang ho na le phapang pakeng tsa poloko le tšenyo ea lintlha tsa sebaka.

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  • 00:00:00
    maps have always been a huge part of the
  • 00:00:03
    human experience now for thousands of
  • 00:00:05
    years the oldest map on record is the
  • 00:00:07
    cattle halyuk cave painting in kanye
  • 00:00:10
    turkey it's believed that this image was
  • 00:00:12
    created sometime around 6200 bce which
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    is roughly around an entire millennium
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    before the advent of written language
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    and ever since then maps have been
  • 00:00:22
    around to help guide us to wherever we
  • 00:00:24
    need to go and in many ways they
  • 00:00:26
    determine how we think about the world
  • 00:00:28
    around us but as it turns out maps can
  • 00:00:31
    also be a massive source of miss and
  • 00:00:34
    disinformation including my own that you
  • 00:00:37
    see on this channel from time to time so
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    as with everything in life you need to
  • 00:00:42
    do your own due diligence and here are a
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    bunch of examples why back in june of
  • 00:00:47
    2019 an unprecedentedly long fire season
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    began in australia lack of soil moisture
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    as well as an uncommonly long dry season
  • 00:00:55
    led to what became a long and terrible
  • 00:00:58
    10 months of fires during the height of
  • 00:01:00
    these flames an artist and designer
  • 00:01:02
    named anthony hearsay created a 3d image
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    of australia pulling data from nasa
  • 00:01:07
    satellites he showed all of the places
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    within the country that the fires had
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    hit up to that point and while the image
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    was quite compelling and relatively
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    accurate within its intended context the
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    map nevertheless became a cornerstone
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    for false information as the image was
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    spread across the internet as quickly as
  • 00:01:25
    the wildfires they depicted a facebook
  • 00:01:27
    page dedicated to the news of the
  • 00:01:28
    australian fires reposted the photo with
  • 00:01:30
    the new caption a 3d image of australia
  • 00:01:34
    shot from a nasa satellite this version
  • 00:01:36
    of the photo with that caption was then
  • 00:01:38
    subsequently shared around 10 000 times
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    then the apex of this mass spread of
  • 00:01:43
    misinformation came when rihanna tweeted
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    the photo to her at the time 96 million
  • 00:01:49
    followers not long after that the image
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    began being called out as false leading
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    to both facebook and instagram initially
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    flagging and taking down the original
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    post until it was all cleared up by
  • 00:01:59
    hearsay that he never actually at any
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    point claimed that it was a nasa
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    satellite photo so it's easy to see how
  • 00:02:07
    something like this all gets out of hand
  • 00:02:09
    the news coming out of australia at the
  • 00:02:11
    time seemed so dire while at the same
  • 00:02:14
    time the image appeared genuinely
  • 00:02:16
    compelling and while it was a somewhat
  • 00:02:18
    accurate 3d rendering of the culmination
  • 00:02:20
    of all the fires up to that point it was
  • 00:02:22
    absolutely not what it was being hailed
  • 00:02:25
    as something going viral is a great way
  • 00:02:28
    for information to be misinterpreted or
  • 00:02:30
    misrepresented back in a 2014 article
  • 00:02:32
    for slate bren blatt talked about a
  • 00:02:34
    popular gif map that showed which baby
  • 00:02:36
    names were most popular in every u.s
  • 00:02:38
    state depending on the year but he
  • 00:02:40
    points out that while the map is
  • 00:02:42
    technically correct the information
  • 00:02:44
    given isn't as straightforward as it
  • 00:02:46
    appears at first glance for instance the
  • 00:02:48
    name ashley is seemingly the most
  • 00:02:50
    popular name for girls across the u.s in
  • 00:02:53
    the years 1991 and 92. despite that fact
  • 00:02:56
    however a child born in 1984 was 8
  • 00:02:59
    percent more likely to have been named
  • 00:03:01
    ashley than a child born in 1992 in fact
  • 00:03:04
    1986 was the year when ashley peaked as
  • 00:03:07
    a name within the u.s but the reason why
  • 00:03:10
    the 91 and 92 years showed up on the map
  • 00:03:13
    is because as ashley dipped in
  • 00:03:15
    popularity as a name other names dipped
  • 00:03:17
    even quicker so while this map isn't
  • 00:03:19
    incorrect it can easily lead to an
  • 00:03:22
    incorrect understanding of what was
  • 00:03:24
    actually happening at the time now while
  • 00:03:26
    some of these maps we've been talking
  • 00:03:27
    about involve misleading statistics or
  • 00:03:29
    false information that were believed to
  • 00:03:31
    be true at the time
  • 00:03:32
    cell phone coverage maps are just
  • 00:03:34
    another thing entirely if you look at
  • 00:03:36
    one of the maps provided by any of the
  • 00:03:38
    big telecom companies you might feel
  • 00:03:40
    confident in that fee that you're paying
  • 00:03:41
    every month most of the companies show a
  • 00:03:43
    map largely covered in different shades
  • 00:03:45
    of the color of their choice 4g lte and
  • 00:03:48
    even 5g is boasted around the majority
  • 00:03:50
    of the us but in 2019 the fcc conducted
  • 00:03:54
    a study to see if cellular data was
  • 00:03:56
    actually available in all of the places
  • 00:03:58
    that the larger telecom companies were
  • 00:04:00
    claiming there was and as it turns out
  • 00:04:03
    it wasn't even close the company with
  • 00:04:06
    the highest amount of coverage was still
  • 00:04:08
    under 65
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    of what it claimed on their map with at
  • 00:04:11
    least one company having coverage closer
  • 00:04:14
    to around just 45
  • 00:04:16
    of the area that it claimed the fcc is
  • 00:04:18
    doing its best to get the telecom
  • 00:04:20
    companies to fall in line because
  • 00:04:22
    over-exaggerating about their coverage
  • 00:04:24
    actually affects an even larger issue as
  • 00:04:26
    technology and society advances it
  • 00:04:29
    becomes more and more important for
  • 00:04:31
    people to have internet access and
  • 00:04:33
    cellular coverage but if there's money
  • 00:04:35
    going to be put into infrastructure we
  • 00:04:37
    need to actually know where there is
  • 00:04:39
    coverage and where there isn't and while
  • 00:04:41
    a map that's all different shades of
  • 00:04:43
    purple might look nice and make it seem
  • 00:04:45
    like the company is ahead of the game
  • 00:04:46
    it's really just blocking access to
  • 00:04:48
    parts of the country that might actually
  • 00:04:50
    need it the most but that's just
  • 00:04:52
    business right governments have never
  • 00:04:54
    released any confusing or misleading
  • 00:04:56
    maps before right of course they have
  • 00:04:59
    after the 2016 u.s presidential election
  • 00:05:02
    the voting maps that were often shown on
  • 00:05:03
    tv and in articles were of the country
  • 00:05:05
    divided into red and blue sections based
  • 00:05:09
    on which counties voted for which
  • 00:05:11
    candidate if you've ever seen a version
  • 00:05:13
    of this map before you've seen that it's
  • 00:05:14
    essentially just a sea of red across the
  • 00:05:17
    country with some blue edges and a few
  • 00:05:20
    scattered blue dots floating throughout
  • 00:05:21
    the center and while within the lens of
  • 00:05:24
    which county voted for which candidate
  • 00:05:26
    this map is accurate it's nonetheless
  • 00:05:29
    pretty misleading for instance
  • 00:05:31
    regardless of which election it is
  • 00:05:32
    painting any county a single color is
  • 00:05:35
    often highly inaccurate in a pure win or
  • 00:05:38
    lose ratio yeah one side lost and one
  • 00:05:41
    side won however if a country is only
  • 00:05:43
    one by one percent as has been the case
  • 00:05:46
    with many counties across the u.s for
  • 00:05:48
    the past several presidential elections
  • 00:05:50
    than painting that entire county a
  • 00:05:52
    single color doesn't truly represent the
  • 00:05:55
    entire voter block if one is using the
  • 00:05:57
    map to imply a landslide it just isn't
  • 00:06:00
    accurate without the peripheral data
  • 00:06:02
    coloring in every county in darker or
  • 00:06:04
    lighter shades of red or blue would
  • 00:06:06
    dramatically help with this accuracy
  • 00:06:07
    problem but there's another inaccuracy
  • 00:06:09
    inherent within this map as well if one
  • 00:06:12
    looks at this map alone without any
  • 00:06:13
    outside knowledge at all it might seem
  • 00:06:15
    as if almost nobody in the country voted
  • 00:06:18
    for blue well almost everyone voted for
  • 00:06:20
    red instead in reality however the votes
  • 00:06:23
    were much closer than this map suggests
  • 00:06:25
    red received 62 million 984 828 votes
  • 00:06:30
    while blue received
  • 00:06:33
    fifty 65
  • 00:06:33
    thousand five hundred fourteen votes
  • 00:06:35
    which is well over two million more than
  • 00:06:37
    red and the reason why this map fails to
  • 00:06:40
    capture that closer spread is because
  • 00:06:42
    it's the wrong one to use this is a map
  • 00:06:45
    of land while an election map should
  • 00:06:47
    really be a map of people for example if
  • 00:06:50
    you look at the land map of the united
  • 00:06:52
    states you'd see that new york state and
  • 00:06:53
    arkansas are roughly the same size but
  • 00:06:56
    there's only three million people living
  • 00:06:58
    in arkansas while there's more than 19
  • 00:07:00
    and a half million people living in new
  • 00:07:02
    york that is well over six and a half
  • 00:07:04
    times the population of arkansas and
  • 00:07:07
    those are just states with similar sizes
  • 00:07:09
    it gets even more bonkers when you look
  • 00:07:11
    at a comparison of states like new
  • 00:07:13
    jersey and wyoming by land mass wyoming
  • 00:07:16
    is more than 11 times larger than new
  • 00:07:18
    jersey but by population new jersey has
  • 00:07:21
    more than 15 times the people of wyoming
  • 00:07:24
    in fact tiny but crowded new jersey has
  • 00:07:27
    nearly the same amount of people as
  • 00:07:28
    wyoming utah idaho montana north dakota
  • 00:07:31
    south dakota and nebraska do all
  • 00:07:34
    combined but you can reduce the size
  • 00:07:36
    comparison even further if you focus on
  • 00:07:38
    just nine counties around america's two
  • 00:07:40
    largest cities new york and los angeles
  • 00:07:43
    you'll find that the votes cast in just
  • 00:07:45
    these nine counties were only 260 000
  • 00:07:49
    short of those cast in all seven of
  • 00:07:51
    these entire states combined and thus if
  • 00:07:54
    you look at a map of the united states
  • 00:07:56
    based on where people actually live like
  • 00:07:58
    this one you can clearly see a
  • 00:08:01
    significantly more even and closer
  • 00:08:03
    distribution of votes than the one that
  • 00:08:05
    is based only on land and then there's
  • 00:08:08
    all the fake stuff that used to be
  • 00:08:10
    included on world maps that everybody
  • 00:08:11
    just thought was real for hundreds of
  • 00:08:13
    years like these strange mountains
  • 00:08:16
    you've probably never heard about or
  • 00:08:17
    ever seen before called the mountains of
  • 00:08:19
    kong they were first referenced in a map
  • 00:08:22
    of africa by a scottish explorer back in
  • 00:08:24
    1798 and over the next hundred years
  • 00:08:26
    until almost the beginning of the 20th
  • 00:08:28
    century different maps continued showing
  • 00:08:31
    this extensive mountain chain that
  • 00:08:33
    simply never existed at all and yet as
  • 00:08:36
    recently as
  • 00:08:37
    1995 a world atlas still referenced them
  • 00:08:41
    being there but the kong mountains
  • 00:08:43
    aren't the only mapped geographic
  • 00:08:45
    feature that never actually existed
  • 00:08:47
    there's also the mexican island of
  • 00:08:49
    bermeja which first showed up on a
  • 00:08:51
    spanish map back in 1539. the belief
  • 00:08:54
    that this imaginary island existed stuck
  • 00:08:56
    around for so long that it wasn't until
  • 00:08:59
    2009
  • 00:09:01
    that the country of mexico officially
  • 00:09:03
    announced to the world that it had
  • 00:09:05
    finally been determined that the island
  • 00:09:07
    of bermeja doesn't actually exist that
  • 00:09:10
    is 470 years that some of the world
  • 00:09:13
    believed a fake island existed all
  • 00:09:16
    because it showed up on one map back in
  • 00:09:18
    the 16th century and then of course
  • 00:09:21
    there is the island of california the
  • 00:09:23
    famous historical misconception that the
  • 00:09:25
    baja peninsula region of mexico wasn't
  • 00:09:28
    connected to the rest of the north
  • 00:09:29
    american mainland a spanish novel from
  • 00:09:31
    1510 referred to a magical island named
  • 00:09:34
    california and so when hernan cortez and
  • 00:09:36
    his men showed up in the 1530s they
  • 00:09:39
    decided to name what they believed was
  • 00:09:41
    an island california by the end of the
  • 00:09:43
    decade however it was actually
  • 00:09:45
    discovered that the land was in fact a
  • 00:09:47
    peninsula but then for reasons that
  • 00:09:49
    aren't really entirely clear nearly a
  • 00:09:52
    century later in 1622 maps began showing
  • 00:09:55
    the area as an island again and then it
  • 00:09:58
    stayed that way across many maps for
  • 00:10:00
    another century and a quarter until the
  • 00:10:01
    king of spain fernand vi made it clear
  • 00:10:04
    that california is not an island and
  • 00:10:07
    ordered all new maps to reflect this
  • 00:10:09
    however there are still maps all the way
  • 00:10:12
    up until 1865
  • 00:10:14
    the year when the u.s civil war ended
  • 00:10:16
    the continued showing the baja peninsula
  • 00:10:19
    as an island and then sometimes maps are
  • 00:10:22
    less accurate in order to be more
  • 00:10:23
    helpful for example the map for the
  • 00:10:25
    london tube is pretty far off from the
  • 00:10:28
    area's geographic reality the thames
  • 00:10:30
    curves in places on the map where it
  • 00:10:31
    doesn't in real life and vice versa
  • 00:10:34
    distances between certain stops seem
  • 00:10:35
    minuscule on the map but take longer
  • 00:10:37
    than the rides between stops that look
  • 00:10:39
    closer well-known stops and streets are
  • 00:10:41
    listed in geographically incorrect
  • 00:10:43
    places depending on if it's above ground
  • 00:10:44
    or below and all of this is because of
  • 00:10:46
    the simple fact that all of this complex
  • 00:10:49
    geographic information needs to all fit
  • 00:10:51
    on just a small and easy to read square
  • 00:10:54
    map and what's most important on this
  • 00:10:57
    kind of map is to show the lines in
  • 00:10:59
    places they connect to and end nobody
  • 00:11:02
    who needs to know how to get to a
  • 00:11:03
    geographic location should be using a
  • 00:11:05
    map that is specifically designed for
  • 00:11:07
    something else but that's actually what
  • 00:11:10
    most of us do with our world maps anyway
  • 00:11:12
    the most commonly used world map is
  • 00:11:14
    called the mercator projection map named
  • 00:11:16
    after the cartographer gerdes mercator
  • 00:11:19
    who created it centuries ago back in
  • 00:11:21
    1569. now obviously a lot has changed
  • 00:11:24
    since 1569 as have a lot of aspects to
  • 00:11:27
    the map but the core way that the map
  • 00:11:29
    looks at the world has stayed more or
  • 00:11:30
    less the same and that's the problem
  • 00:11:33
    because the mercator map was never
  • 00:11:34
    initially intended to be used as a map
  • 00:11:37
    for the common person it was made as a
  • 00:11:39
    map for navigators where one could
  • 00:11:41
    easily draw straight lines between the
  • 00:11:43
    known ports of the world in fact the map
  • 00:11:46
    was initially called a new and enlarged
  • 00:11:48
    description of the earth with
  • 00:11:50
    corrections for use in navigation it's
  • 00:11:52
    literally right there in the name but as
  • 00:11:55
    the number of people traveling across
  • 00:11:57
    the oceans increased over time this map
  • 00:11:59
    became more and more widely used it also
  • 00:12:02
    helps that the map-made countries in the
  • 00:12:03
    northern hemisphere seem much larger in
  • 00:12:05
    comparison to those that were in the
  • 00:12:07
    southern during the age of colonialism
  • 00:12:09
    it was a welcomed way of viewing the
  • 00:12:11
    world despite the original intentions of
  • 00:12:13
    just being an easy way to draw a line
  • 00:12:15
    between two points now in modern times
  • 00:12:18
    even if the mercator projection is the
  • 00:12:19
    map used in classrooms many of us have
  • 00:12:22
    been taught and are aware about the
  • 00:12:23
    map's glaringly obvious geographic
  • 00:12:26
    issues most infamous of all is the
  • 00:12:28
    absurdly large size of greenland which
  • 00:12:30
    appears to be roughly the size as the
  • 00:12:32
    entire continent of africa despite in
  • 00:12:35
    reality only actually being just a tad
  • 00:12:37
    smaller than the democratic republic of
  • 00:12:39
    the congo in the continent's center
  • 00:12:41
    antarctica covers almost the entire
  • 00:12:44
    bottom quarter of the map despite being
  • 00:12:46
    the third smallest of earth's continents
  • 00:12:49
    alaska appears larger than australia
  • 00:12:51
    despite being more than four times
  • 00:12:53
    smaller in real life and consequently
  • 00:12:56
    russia's inflated appearance has been
  • 00:12:58
    utilized several times in the u.s before
  • 00:13:00
    for propaganda purposes especially
  • 00:13:03
    during the cold war to create fear over
  • 00:13:05
    the supposed monstrous spread of
  • 00:13:07
    communism across the world all of this
  • 00:13:09
    distortion is due to the fact that the
  • 00:13:12
    projection is a cylindrical map based on
  • 00:13:14
    mercator's very specific needs when he
  • 00:13:17
    made it the further things are from the
  • 00:13:19
    equator the more their size inflates and
  • 00:13:22
    there's all sorts of math and science
  • 00:13:23
    regarding the hows and whys of the
  • 00:13:25
    mercator projection but the bottom line
  • 00:13:27
    is as with most world maps it's just
  • 00:13:30
    hard to show an accurate portrayal of
  • 00:13:32
    things that exist upon a
  • 00:13:33
    three-dimensional sphere in real life on
  • 00:13:35
    a flat rectangular two-dimensional
  • 00:13:38
    picture so while the mercator projection
  • 00:13:40
    succeeds at its original designed
  • 00:13:42
    intention it fails at mostly everything
  • 00:13:45
    else and then of course there is the one
  • 00:13:47
    thing that most global maps fail to show
  • 00:13:50
    north is not up and south is not down
  • 00:13:54
    the earth sits in space and in space
  • 00:13:56
    there is no top and there is no bottom
  • 00:13:59
    when looking at a map like the mercator
  • 00:14:01
    it presents the northern hemisphere
  • 00:14:02
    above the southern when the reality is
  • 00:14:05
    that that's all just a matter of
  • 00:14:06
    perspective north and south are only
  • 00:14:09
    directions but there is no top or bottom
  • 00:14:12
    to the earth a planet the southern
  • 00:14:14
    hemisphere isn't below the northern it's
  • 00:14:16
    simply on the other side of the equator
  • 00:14:18
    but because it's what most of us have
  • 00:14:19
    always known it's easy to understand why
  • 00:14:22
    one might consider north to be the top
  • 00:14:24
    of the map but as the south up
  • 00:14:27
    orientation map shows it's really just
  • 00:14:29
    as easy to see it all the other way
  • 00:14:31
    around even though to you this
  • 00:14:33
    perspective may feel strange it's just
  • 00:14:36
    as accurate of a view of earth's
  • 00:14:37
    geography as it is the other way around
  • 00:14:40
    a map with the north on top isn't lying
  • 00:14:43
    to us but it's also not telling us the
  • 00:14:45
    full truth because in the end maps are
  • 00:14:48
    only that a representation of a partial
  • 00:14:52
    truth
  • 00:14:53
    but you know what is a full truth the
  • 00:14:55
    best investment that you can make
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    probably isn't in designing a map but
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    investing in yourself as you probably
  • 00:15:02
    know we as people generally know what's
  • 00:15:05
    best for ourselves but we're pretty
  • 00:15:07
    often unable to transform healthy
  • 00:15:09
    behaviors into long-term habits
  • 00:15:12
    but that's exactly what fabulous is here
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    to help with fabulous is an app rooted
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    in behavioral science that helps you
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    build and maintain healthy habits you
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    can either do this a la carte by telling
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    the app what specific habits you want to
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    build or go through one of their curated
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    journeys which collect a number of
  • 00:15:30
    habits together to help you achieve an
  • 00:15:32
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    an unexpected journey to help me out
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    with feeling more energized which begins
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    you're drinking enough water when you
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    wake up and then builds on from there
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    it's pretty much just like having your
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    own personal coach inside of your pocket
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    and it breaks down scientifically proven
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    can easily achieve every single day so
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    whether you want to improve your sleep
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    self-discipline or any one of plenty of
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    you stay motivated and starting is easy
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    because the first 100 people to click
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    help support real life lore at the same
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    time and as always thank you so much for
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    watching
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