How Falling Behind Can Get You Ahead | David Epstein | TEDxManchester

00:14:26
https://www.youtube.com/watch?v=BQ2_BwqcFsc

Zusammenfassung

TLDRDe video bespreekt de ontwikkeling van menselijk potentieel en stelt vragen bij de bekende 10.000-urenregel, die beweert dat je 10.000 uur gerichte training nodig hebt om ergens in te excelleren. Voorbeelden zoals Tiger Woods en de Polgár-zussen worden aangehaald, die dit idee lijken te bevestigen. Echter, onderzoek toont aan dat elite atleten, muzikanten en anderen vaak een 'sampleerperiode' hebben, waarin ze verschillende activiteiten uitproberen voordat ze zich op één gebied specialiseren. Dit patroon wordt ook gezien in opleidingen, zoals het verschil tussen vroeg en laat specialiseren in Engeland en Schotland. Succesverhalen van mensen als Roger Federer en Claude Shannon illustreren dat een breed scala aan ervaringen kan leiden tot groot succes. In een steeds complexere wereld kan hyperspecialisatie een beperking zijn, terwijl een bredere focus kan leiden tot innovatie en aanpassingsvermogen. Het verhaal van mensen als Gunpei Yokoi van Nintendo illustreert hoe het doorbreken van conventionele denkwijzen kan leiden tot revolutionaire innovatie.

Mitbringsel

  • ⏳ 10.000-urenregel is niet universeel toepasbaar
  • 🏌️ Tiger Woods als voorbeeld van vroege specialisatie
  • 🎻 Polgár-zussen speciaal getraind in schaken
  • 🏃 Elite atleten ondergaan vaak een brede ervaringsfase, niet alleen gerichte training
  • 🎶 Muzikanten hebben vaak meerdere instrumenten verkend
  • 🎓 Onderwijs: laat specialisatie kan op lange termijn voordeliger zijn
  • 🎨 Breed scala aan ervaringen kan leiden tot innovaties
  • 🎮 Gunpei Yokoi’s succes met de Gameboy toont de waarde van combinatie van oude technologieën
  • 🌐 Visualisatie van een 'wicked' wereld vereist een adaptieve denkwijze
  • 📚 Studie in onderwijs toont dat probleemoplossende benaderingen betere lange-termijnresultaten geven

Zeitleiste

  • 00:00:00 - 00:05:00

    In dit gedeelte wordt de 10.000-uurregel besproken, een concept dat stelt dat je 10.000 uur gerichte oefening nodig hebt om uitmuntend te worden in iets. Bekende voorbeelden zoals Tiger Woods en de Polgár-zusters, die op jonge leeftijd intensief trainden, lijken dit te bevestigen. Echter, onderzoek toont aan dat toekomstige elites in sport vaak minder tijd besteden aan gerichte beoefening in hun uiteindelijke sport in hun vroege jaren, en zich eerst breed oriënteren voordat ze zich specialiseren. Dit patroon van bredere ontwikkeling wordt ook gezien in de muziek, waar uitzonderlijke muzikanten vaak een 'sampling' periode hebben. Dit roept vragen op over de geldigheid van vroege specialisatie in andere domeinen, zoals onderwijs, waar late specialisatie vaak leidt tot betere lange termijn succesverhalen.

  • 00:05:00 - 00:14:26

    Het vervolg van het gesprek onderzoekt de impact van late specialisatie op lange termijn succes aan de hand van voorbeelden uit verschillende domeinen, zoals sport, muziek en onderwijs. Personen die later specialiseren winnen vaak op lange termijn door beter passende keuzes te maken. Het voorbeeld van Roger Federer illustreert hoe een brede vroege ontwikkeling kan bijdragen aan uitzonderlijke prestaties later. Het idee dat samenwerkingsverbanden en diversifiëring tot innovatie leiden, wordt aangehaald met voorbeelden zoals de technologische successen van Gunpei Yokoi bij Nintendo. Ook wordt benadrukt dat een breed scala aan ervaringen, zoals die van Nobelprijswinnaars, kan bijdragen aan succes, en dat er meer aandacht zou moeten zijn voor het ontwikkelen van veelzijdigheid in plaats van vroege specialisatie. Dit staat in contrast met de heersende trend van hyperspecialisatie, die in een snel veranderende wereld niet altijd voordelig is.

Mind Map

Video-Fragen und Antworten

  • Wat is de 10.000-urenregel?

    Dit is het idee dat je 10.000 uur gerichte oefening nodig hebt om ergens in uit te blinken.

  • Wie zijn voorbeelden van de 10.000-urenregel?

    Tiger Woods en de Polgár-zussen worden vaak als voorbeelden genoemd.

  • Wat is een 'sampleerperiode'?

    Een periode waarin individuen verschillende activiteiten uitproberen voordat ze zich specialiseren.

  • Hoe verschilt het opvoedings- en onderwijssysteem in Engeland en Schotland?

    In Engeland moeten studenten op jongere leeftijd specialiseren, terwijl ze in Schotland later mogen specialiseren.

  • Wat toont onderzoek aan over brede ervaringsbasis?

    Een brede ervaringsbasis leidt vaak tot meer innovatieve oplossingen en flexibiliteit in de professionele wereld.

  • Hoe heeft Gunpei Yokoi een revolutie teweeggebracht in de game-industrie?

    Door bekende technologieën op vernieuwende manieren te combineren, zoals met de Gameboy.

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Automatisches Blättern:
  • 00:00:06
    so I'd like to talk about the
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    development of human potential and I'd
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    like to start with maybe the most
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    impactful modern story of development
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    many of you here have probably heard of
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    the 10,000 hours rule maybe you even
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    model your own life after it basically
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    it's the idea that to become great in
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    anything takes 10,000 hours of focused
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    practice so you'd better get started as
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    early as possible the poster child for
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    this story is Tiger Woods his father
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    famously gave him a putter when he was 7
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    months old at 10 months he started
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    imitating his father's swing at 2 you
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    can go on YouTube and see him on
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    national television fast-forward to the
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    age of 21 he's the greatest golfer in
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    the world quintessential $10,000 story
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    another that features a number of
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    best-selling books is that of the three
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    polgár sisters whose father decided to
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    teach them chess in a very technical
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    manner from a very early age and really
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    he wanted to show that with a head start
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    and focused practice any child could
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    become a genius in anything and in fact
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    two of his daughters went on to become
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    Grandmaster chess players so when I
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    became the science writer at Sports
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    Illustrated magazine I got curious if
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    there's 10,000 hours rules correct then
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    we should see that elite athletes get a
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    head start in so-called deliberate
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    practice this is coached
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    error-correction focused practice not
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    just playing around and in fact when
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    scientists study elite athletes they see
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    that they spend more time in deliberate
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    practice not a big surprise but they
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    actually when they actually track
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    athletes over the course of their
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    development the pattern looks like this
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    the future elites actually spend less
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    time early on in deliberate practice in
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    their eventual sport they tend to have
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    what scientists call a sampling period
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    where they try a variety of physical
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    activities they gain broad general
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    skills they learn about their interests
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    and abilities and delay specializing
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    until later than peers who plateau at
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    lower levels and so when I saw that I
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    said gosh that doesn't really comport
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    with the 10,000 hours rule does it so I
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    started to wonder about other domains
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    that we associate with obligatory early
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    specialization like music turns out the
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    patterns often similar this is research
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    from a world-class music
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    of me and what I want to draw your
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    attention to is this the exceptional
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    musicians didn't start spending more
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    time into the practice than the average
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    musicians until their third instrument
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    they too tended to have a sampling
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    period even musicians we think of as
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    famously precocious like yo-yo ma
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    he had a sampling period he just went
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    through it more rapidly than most
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    musicians do nonetheless this research
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    is almost entirely ignored and much more
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    impactful is the first page of the book
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    Battle Hymn of the tiger mother where
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    the author recounts assigning her
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    daughter violin nobody seems to remember
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    the part later in the book where her
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    daughter turns to her and says you
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    picked it not me and largely quits
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    so having seen this sort of surprising
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    pattern in sports and music I started to
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    wonder about domains that affect even
  • 00:02:55
    more people like education an economist
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    found a natural experiment in the higher
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    ed systems of England and Scotland in
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    the period he studied the systems were
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    very similar except in England students
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    had to specialize in their mid teen
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    years to pick a specific course of study
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    to apply to ORS in Scotland they could
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    keep trying things in university if they
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    wanted to and his question was who wins
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    the trade-off the early or the late
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    specialized errs and what he saw was
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    that the early specialized jump out to
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    an income lead because they have more
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    domain-specific skills the late
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    specialized errs get to try more
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    different things and when they do pick
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    they have better fit or what economists
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    call match quality and so their growth
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    rates are faster by six years out they
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    erased that income gap meanwhile the
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    early specialized errs start quitting
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    their career tracks in much higher
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    numbers essentially because they were
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    made to choose so early that they more
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    often made poor choices so the late
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    specialized errs losing the short term
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    and win in the long run I think if we
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    thought about career choice like dating
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    we might not pressure people to settle
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    down quite so quickly so this got me
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    interested seeing this pattern again in
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    exploring the developmental backgrounds
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    of people whose work I had long admired
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    like Duke Ellington who shunned music
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    lessons as a kid to focus on baseball
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    and painting and drawing or Maruyama
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    Mirza Connie who wasn't interested in
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    math as a girl dreamed of becoming a
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    novelist and went on to become the first
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    and so far only woman to win the Fields
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    Medal the most prestigious prize in the
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    world in math Vincent van Gogh had five
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    different careers each of which he
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    deemed his true calling
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    before flaming out spectacularly
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    and in his late 20s picked up a book
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    called the guide to the ABCs of drawing
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    that worked out okay Claude Shannon was
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    an electrical engineer at the University
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    of Michigan who took a philosophy course
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    just to fulfill a requirement and in it
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    he learned about a near century-old
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    system of logic by which true and false
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    statements could be coded as ones and
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    zeros and solved like math problems this
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    led to the development of binary code
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    which underlies all of our digital
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    computers today for finally my own sort
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    of role model Frances Hesselbein this is
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    me with her she took her first
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    professional job at the age of 54 it
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    went on to become the CEO of the Girl
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    Scouts which she saved she tripled
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    minority membership added a hundred and
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    thirty thousand volunteers and this is
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    one of the proficiency badges that came
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    out of her tenure it's binary code for
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    girls learning about computers today
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    Frances runs a Leadership Institute
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    where she works every weekday in
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    Manhattan and she's only a hundred and
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    four so who knows what's next we never
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    really hear developmental stories like
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    this do we we don't hear about the
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    research that found a Nobel laureate
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    scientists are 22 times more likely to
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    have a hobby outside of work as our
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    typical scientists we never hear that
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    even when the performers of the work is
  • 00:05:40
    very famous we don't hear these
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    developmental stories for example here's
  • 00:05:43
    an athlete I've followed here he is at
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    age six wearing a Scottish rugby kid now
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    he tried some tennis some skiing
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    wrestling his mother was actually a
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    tennis coach but she declined to coach
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    him because he wouldn't return balls
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    normally he did some basketball table
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    tennis swimming when his coaches wanted
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    to move him up a level to play with
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    older boys he declined because he just
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    wanted to talk about pro wrestling after
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    practice with his friends and he kept
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    trying more sports handball volleyball
  • 00:06:08
    soccer badminton skateboarding so who is
  • 00:06:12
    this dabbler
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    this is Roger Federer every bit as
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    famous as an adult as Tiger Woods and
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    yet even tennis enthusiasts don't
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    usually know anything about his
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    developmental story why is that even
  • 00:06:25
    though it's the norm I think it's partly
  • 00:06:27
    because the Tiger story is very dramatic
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    but also because it seems like this tidy
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    narrative that we can extrapolate to
  • 00:06:33
    anything that we want to be good at in
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    our own lives but that I think is a
  • 00:06:38
    problem because it turns out that many
  • 00:06:40
    Golf is a uniquely horrible model of
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    almost everything that humans want to
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    learn Golf is the epitome of what the
  • 00:06:47
    psychologist Robin Hogarth called a kind
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    learning environment kind learning
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    environments have next steps and goals
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    that are clear rules that are clear and
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    never change when you do something to
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    get feedback that is quick and accurate
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    work next year will look like work last
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    year chess also a kind learning
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    environment the grandmasters advantage
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    is largely based on knowledge of
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    recurring patterns which is also why
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    it's so easy to automate on the other
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    end of the spectrum are wicked learning
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    environments where next steps and goals
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    may not be clear rules may change you
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    may or may not get feedback when you do
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    something it may be delayed it may be
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    inaccurate and work next year may not
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    look like work last year so which one of
  • 00:07:26
    these sounds like the world we're
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    increasingly living in in fact our need
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    to think in an adaptable manner and to
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    keep track of interconnecting parts has
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    fundamentally changed our perception so
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    that when you look at this diagram the
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    central circle on the right probably
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    looks larger to you because your brain
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    is drawn to the relationship of the
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    parts in the whole whereas someone who
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    hasn't been exposed to modern work with
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    its requirement for adaptable conceptual
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    thought will see correctly that the
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    central circles are the same size so
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    here we are in the wicked work world and
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    they're sometimes hyper specialization
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    can backfire badly for example in
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    research in a dozen countries that
  • 00:08:04
    matched people for their parents years
  • 00:08:06
    of education their test scores their own
  • 00:08:08
    years of Education the difference was
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    some got career focused education and
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    some got broader general education the
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    pattern was those who got the career
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    focused education are more likely to be
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    hired right out of training more likely
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    to make more money right away but so
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    much less adaptable in a changing work
  • 00:08:23
    world that they spend so much less time
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    in the workforce over all that they win
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    in the short term and lose in the long
  • 00:08:29
    run or consider a famous 20-year study
  • 00:08:32
    of experts making geopolitical and
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    economic predictions the worst
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    forecasters were the most specialized
  • 00:08:39
    experts those who'd spent their entire
  • 00:08:41
    careers studying one or two problems and
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    came to see the whole world through one
  • 00:08:45
    lens or mental model some of them
  • 00:08:47
    actually got worse as the accumulated
  • 00:08:48
    experience and credentials the best
  • 00:08:51
    forecasters were simply
  • 00:08:53
    right people with wide-ranging interests
  • 00:08:55
    now in some domains like medicine
  • 00:08:58
    increasing specialization has been both
  • 00:09:00
    inevitable and beneficial no question
  • 00:09:02
    about it and yet it's been a
  • 00:09:03
    double-edged sword a few years ago one
  • 00:09:06
    of the most popular surgeries in the
  • 00:09:08
    world for knee pain was tested in a
  • 00:09:09
    placebo controlled trial some of the
  • 00:09:12
    patients got sham surgery
  • 00:09:13
    that means the surgeons make an incision
  • 00:09:15
    they bang around like they're doing
  • 00:09:16
    something then they sew the patient back
  • 00:09:18
    up that performed just as well and yet
  • 00:09:21
    surgeons who specialize in the procedure
  • 00:09:23
    continue to do it by the millions
  • 00:09:25
    so if hyperspecialization isn't always
  • 00:09:28
    the trick in a wicked world what is that
  • 00:09:30
    can be difficult to talk about because
  • 00:09:32
    it doesn't always look like this path
  • 00:09:33
    sometimes it looks like meandering or
  • 00:09:35
    zigzagging or keeping a broader view it
  • 00:09:37
    can look like getting behind but I want
  • 00:09:40
    to talk about what some of those tricks
  • 00:09:41
    might be if we look at research on
  • 00:09:43
    technological innovation it shows that
  • 00:09:45
    increasingly the most impactful patents
  • 00:09:47
    are not authored by individuals who
  • 00:09:49
    drill deeper deeper deeper into one area
  • 00:09:51
    of technology as classified by the US
  • 00:09:53
    Patent Office but rather by teams that
  • 00:09:57
    include individuals who have worked
  • 00:09:58
    across a large number of different
  • 00:10:00
    technology classes and often merged
  • 00:10:01
    things from different domains someone
  • 00:10:04
    whose work I've admired who was sort of
  • 00:10:06
    on the forefront of this a Japanese man
  • 00:10:07
    named gunpei Yokoi Yokoi didn't score
  • 00:10:10
    well in his electronics exams at school
  • 00:10:12
    so he had to settle for a low tier job
  • 00:10:13
    as a machine maintenance worker at a
  • 00:10:15
    playing card company in Kyoto
  • 00:10:17
    he realized he wasn't equipped to work
  • 00:10:19
    on the cutting edge but that there was
  • 00:10:21
    so much information easily available
  • 00:10:23
    that maybe he could combine things that
  • 00:10:25
    were already well-known in ways that
  • 00:10:26
    specialists were too narrow to see so he
  • 00:10:29
    combines some well-known technology from
  • 00:10:31
    the calculator industry with some
  • 00:10:33
    well-known technology from the
  • 00:10:34
    credit-card industry and made handheld
  • 00:10:36
    games and they were hit and it turned
  • 00:10:39
    this playing card company which was
  • 00:10:41
    founded in a wooden storefront in the
  • 00:10:43
    19th century into a toy and game
  • 00:10:46
    operation you may have heard of it it's
  • 00:10:47
    called Nintendo yokoi's creative
  • 00:10:51
    philosophy translated to lateral
  • 00:10:52
    thinking with whithered technology
  • 00:10:54
    taking well-known technology and using
  • 00:10:56
    it in new ways and his magnum opus was
  • 00:10:59
    this the gameboy technological joke in
  • 00:11:02
    every way and it came out at the same
  • 00:11:04
    time as color competitors from Sega and
  • 00:11:06
    Atari
  • 00:11:07
    and it blew them away because Yokoi knew
  • 00:11:09
    what his customers cared about wasn't
  • 00:11:11
    color it was durability portability
  • 00:11:14
    affordability battery life game
  • 00:11:16
    selection this is mine that I found in
  • 00:11:19
    my parents basement seen better days but
  • 00:11:23
    you can see the red light is on I
  • 00:11:25
    flipped it on and played some Tetris
  • 00:11:26
    which I thought was especially
  • 00:11:27
    impressive because the batteries had
  • 00:11:28
    expired in 2007 and 2013 so this breadth
  • 00:11:35
    advantage holds in more subjective
  • 00:11:36
    realms as well in a fascinating study of
  • 00:11:39
    what leads some comic book creators to
  • 00:11:41
    be more likely to make blockbuster
  • 00:11:43
    comics a pair of researchers found that
  • 00:11:45
    it was neither the number of years of
  • 00:11:47
    experience in the field nor the
  • 00:11:49
    resources of the publisher nor the
  • 00:11:52
    number of previous comics made it was
  • 00:11:54
    the number of different genres that a
  • 00:11:56
    creator had worked across and
  • 00:11:58
    interestingly abroad individual could
  • 00:12:01
    not be entirely replaced by a team of
  • 00:12:04
    specialists we probably don't make as
  • 00:12:07
    many of those people as we could because
  • 00:12:09
    early on they just look like they're
  • 00:12:10
    behind and we don't tend to incentivize
  • 00:12:12
    anything that doesn't look like a head
  • 00:12:14
    start or specialization in fact I think
  • 00:12:16
    in the well-meaning drive for a head
  • 00:12:18
    start
  • 00:12:18
    we often even counter productively short
  • 00:12:21
    circuit even the way we learn new
  • 00:12:22
    material at a fundamental level in study
  • 00:12:26
    last year 7th grade math classrooms in
  • 00:12:28
    the US were randomly assigned to
  • 00:12:31
    different types of learning some got
  • 00:12:33
    what's called blocked practice that's
  • 00:12:35
    like you get problem type a aaaa
  • 00:12:37
    bbbbb and so on progress is fast kids
  • 00:12:41
    are happy everything's great other
  • 00:12:44
    classrooms got assigned to what's called
  • 00:12:46
    interleaved practice that's like if you
  • 00:12:49
    took all the problem types and threw
  • 00:12:50
    them in a hat and drew them out at
  • 00:12:52
    random progress is slower kids are more
  • 00:12:56
    frustrated but instead of learning how
  • 00:12:58
    to execute procedures they're learning
  • 00:13:00
    how to match a strategy to a type of
  • 00:13:02
    problem and when the test comes around
  • 00:13:05
    the interleaved group blew the block
  • 00:13:07
    practice group away wasn't even close
  • 00:13:10
    now I found a lot of this research
  • 00:13:12
    deeply counterintuitive the idea that a
  • 00:13:15
    head start whether in picking a career
  • 00:13:17
    or a course of study or just in learning
  • 00:13:18
    new material
  • 00:13:20
    sometimes undermine long-term
  • 00:13:21
    development and naturally I think there
  • 00:13:25
    are as many ways to succeed as there are
  • 00:13:26
    people but I think we tend only to
  • 00:13:28
    incentivize and encourage the tiger path
  • 00:13:31
    when increasingly in a wicked world we
  • 00:13:33
    need people who travel the roger path as
  • 00:13:35
    well or is the eminent physicist and
  • 00:13:38
    mathematician and wonderful writer
  • 00:13:40
    Freeman Dyson put it and he Dyson passed
  • 00:13:45
    away yesterday so I hope I'm doing his
  • 00:13:46
    words honor here as he said for a
  • 00:13:49
    healthy ecosystem we need both birds and
  • 00:13:51
    frogs frogs are down in the mud seeing
  • 00:13:54
    all the granular details the birds are
  • 00:13:57
    soaring up above not seeing those
  • 00:13:58
    details but integrating the knowledge of
  • 00:14:00
    the frogs and we need both the problem
  • 00:14:03
    Dyson said is that we're telling
  • 00:14:05
    everyone to become frogs and I think in
  • 00:14:08
    a wicked world that's increasingly
  • 00:14:10
    short-sighted thank you very much
  • 00:14:23
    you
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