Albert-László Barabási: The real relationship between your age and your chance of success
ألبرت لاسزلو بارباشي: العلاقة الحقيقية بين عمرك وفرصة نجاحك
A pioneer in network science, Albert-László Barabási uncovers the hidden order behind complex systems. Full bio
Double-click the English transcript below to play the video.
a very special day for me,
خاص جداً بالنسبة لي
for joining the party.
لانضماكم إلى الحفلة
there's someone there to spoil it. Right?
يكون هنالك من يفسدها. اليس كذلك؟
another physicist along to do so.
عالم فيزياء آخر للقيام بذلك
also Albert -- and he's the one who said
وكذلك ألبرت وهو القائل:
his great contributions to science
إسهاماته العظيمة في العلم
he is telling me, and us,
يخبرني به، ونحن
of luck within my career.
من الحظ خلال حياتي المهنية
very interested in networks,
to publish a few key papers
من نشر بعض الأوراق الرئيسية
of scale-free networks
خالية من النطاق
that we call network science today.
نُطلق عليه علم الشبكات
you can get a PhD now in network science
الدكتوارة الآن في علوم الشبكة
first as a sabbatical,
أولًا كإجازة
in another type of network:
and the metabolites link to each other
ببعضها البعض
to a major explosion within medicine,
إلى إنفجار كبير داخل الطب
Division at Harvard,
who are using this perspective
الذين يستخدمون هذا المنظور
this idea of networks
by the networks we're part of --
التي نحن جزء منها --
they can pull us back.
يمكنهم سحبنا للخلف
the knowledge and big data and expertise
من المعرفة والبيانات والخبرات الكبيرة
how these things happen.
of galleries in museums
من المعارض في المتاحف
that we mapped out last year,
التي رسمناها العام الماضي
the success of an artist
that he or she had in their career.
كانت لديه أو لديها في مهنتهم
is not only about networks;
ليس فقط حول الشبكات
other dimensions to that.
الأبعاد الأخرى لذلك
we need for success, obviously,
نحتاجها للنجاح
between performance and success.
بين الأداء والنجاح
what kind of paintings you paint,
وما نوع اللوحات التي ترسمها
notices from what you did,
المجتمع من ما فعلتم
and how does it reward you for it?
وكيف يكافئك على ذلك؟
but your success is about all of us.
important shift for us,
as being a collective measure
بأنه تدبير جماعي
there are multiple data points about that.
هناك نقاط بيانات متعددة حول ذلك
we exercise, we practice,
that performance leads to success.
started to explore,
are very, very different animals
حيوانات مختلفة جدًا جدًا
the mathematics of the problem.
the fastest man on earth, Usain Bolt.
وجه الأرض، (يوسين بولت)
the competitions that he enters.
because we have a chronometer
لأن لدينا كرونومتر
is that when he wins,
أنه عندما يفوز
outrunning his competition.
بشكل كبير على منافسيه حقًأ
than the one who loses the race.
الذي يخسر السباق
one percent faster than the second one,
في المئة أسرع من الثاني
10 times faster than I do --
trust me on that.
to measure performance,
no huge variations in human performance.
كبيرة في الأداء البشري
to measure the differences.
see the good from the best ones,
الخير من الأفضل
are very hard to distinguish.
is that most of us work in areas
يعمل في مجالات
to gauge our performance.
when it comes to our performance.
عندما يتعلق الأمر بأدائنا
a different topic, like books.
مثل الكتب
how many people read your work.
عدد الناس الذين يقرأون عملك
came out in 2009,
Who is the competition?
there's hardly any difference
أي إختلاف
works a little harder,
سباركس بجهد أكبر
who ended up at the top.
في القمة
I'm a data person, right?
أنا شخص البيانات، أليس كذلك؟
the sales for Nicholas Sparks.
لنيكولاس سباركس
that opening weekend,
a hundred thousand copies,
of the "New York Times" best-seller list
"نيويورك تايمز" قائمة الأكثر مبيعًا
what he needed to be number one.
إلى أن يكون رقم واحد
who sold 1.2 million copies that weekend.
مليون نسخة في عطلة نهاية الأسبوع
is because it shows that, really,
لأنه يظهر أنه حقًا
slightly more than the second best
على أكثر بقليل من الأفضل
we earn it through our performance.
من خلال أدائنا
performance, what we do, is bounded,
أن الأداء، ما نقوم به، محدود
collective, is unbounded,
huge differences in success
الكبيرة في النجاح
differences in performance?
الصغيرة في الأداء؟
that I devoted to that very question.
كرسته لهذا السؤال بالذات
to go over all of that,
to the question of,
when should that appear?
and ask ourselves:
الحفلة ونسأل أنفسنا
this ridiculous statement,
you could actually be creative?
and he saw all these fabulous physicists
الفيزيائيين الرائعين
and modern physics,
والفيزياء الحديثة
and early 30s when they did so.
a whole field of genius research
من البحث العبقري
we admire from the past
they made their biggest contribution,
الذي قدموا فيه أكبر مساهمة
whether that's science,
in their 20s, 30s, early 40s at most.
20ث، 30ث، 40ث على الأكثر
with this genius research.
the impression to us
أنها خلقت انطباعًا بالنسبة لنا
and doesn't look at ordinary scientists
ولا ينظر إلى العلماء العاديين
vanishes as we age?
يختفي مع تقدمنا في السن؟
to actually have references.
يكون في الواقع مراجع
scientist like myself,
that I've published
I was still in Romania when I did so,
كنت لا أزال في رومانيا عندما فعلت ذلك
the impact of the paper,
have been written that cited that work.
والتي استشهدت بذلك العمل
has roughly three different stages.
ثلاث مراحل مختلفة
where I had to work a lot
حيث يجب أن أعمل كثيرًا
about what I do, right?
for myself networks
ثم اكتشفت لنفسي شبكات
paper to the other one.
إلى الورقة الأخرى
That was that stage of my career.
تلك كانت تلك المرحلة من مهنتي
what happens right now?
hasn't been enough time passed yet
لأنه لم يمر وقت كاف حتى الآن
those papers will get;
the genius research, is right,
how does this really happen,
يحدث هذا حقًا
the selection bias,
of every single scientist
مهنة كل عالم واحد
what was their personal best,
or they never did,
لم يحصلوا عليها أبدًا
even their personal best.
on the top of that career,
على قمة تلك المهنة
their biggest discovery?
that you make your biggest discovery,
بأكبر اكتشاف لك
or 10 years into your career?
في حياتك المهنية؟
what we call "academic age."
when you publish your first papers.
تنشر أوراقك الأولى
your highest-impact paper.
the genius research is right.
البحث العبقري هو الصحيح
their highest-impact paper
الأولى من حياتهم المهنية
I'm exactly 30 years into my career,
أنا بالضبط 30 عامًا في حياتي المهنية
that would have a higher impact
سيكون لها تأثير أكبر
according to this data.
وفقًا لهذه البيانات
who makes random contribution to science?
يقدم مساهمة عشوائية في العلم؟
of the scientist?
in year one, 10 or 20 in your career,
ال10، أو ال20 في مهنتك
of having the impact
there's only one explanation for that,
تفسير واحد فقط لذلك
every project we do,
of being our personal best.
نكون أفضل شخص لدينا
a lottery ticket.
most of their lottery tickets
من حياتهم المهنية
their productivity decreases.
any more lottery tickets.
they would not be creative.
the conclusion is very simple:
فإن الاستنتاج بسيط جدًا
or very last paper of your career.
حياتك المهنية
in the space of the projects.
who got the Nobel Prize in Physics
جائزة نوبل في الفيزياء
in his career as a graduate student.
دراسات عليا
by Yale University.
تقاعد بالقوة من قبل جامعة ييل
to Virginia Commonwealth University,
جامعة (فيرجينيا كومنولث)
that he published a paper
the Nobel Prize for Chemistry.
نوبل في الكيمياء
well, science is special,
where we need to be creative?
حيث نحتاج أن نكون مبدعين؟
typical example: entrepreneurship.
تنظيم المشاريع
the TechCrunch Awards and other awards,
جوائز techcrunch والجوائز الأخرى
is late 20s, very early 30s.
في أوائل الثلاثينات
some of the biggest VC firms --
أكبر شركات (في سي)
that youth equals success.
أن الشباب يساوي النجاح
about forming a company --
trying, trying, trying --
تحاول تحاول تحاول --
of these individuals actually put out
الأفراد في الواقع وضعت
looked at exactly that question.
هذا السؤال بالضبط
those in the 20s and 30s
العشرينات والثلاثينات
form lots of companies,
يشكلون الكثير من الشركات
what you see in this particular plot,
ما تراه في هذه المؤامرة بالذات
you will actually hit the stock market
دخولكم سوق الأسهم المالية
that if you are in the 50s,
إذا كنت في الخمسينات
to actually have a successful exit
that we see, actually?
في الواقع ؟
at the end of the day,
and succeed over and over.
مرارًا وتكرارًا
ABOUT THE SPEAKER
Albert-László Barabási - Network scientistA pioneer in network science, Albert-László Barabási uncovers the hidden order behind complex systems.
Why you should listen
Albert-László Barabási is fascinated by a wide range of topics, from the structure of the brain and treating diseases with network medicine to the emergence of success in art and how science really works. His work uses the quantitative tools of network science, a research field that he pioneered, and led to the discovery of scale-free networks, helping explain the emergence of many natural, technological and social networks.
Barabási is the Robert Gray Dodge Professor of Network Science at Northeastern University and holds an appointment in the Department of Medicine at Harvard Medical School. He splits his time with Budapest, where he runs a European Research Council project at Central European University. A Hungarian born native of Transylvania, Romania, he received his masters in theoretical physics at the Eötvös University in Budapest, Hungary and his PhD three years later at Boston University.
Barabási’s latest book is The Formula: The Universal Laws of Success. He is also the author of Network Science, Linked and Bursts. He co-edited Network Medicine and The Structure and Dynamics of Networks. His books have been translated into over twenty languages.
Albert-László Barabási | Speaker | TED.com