"Being antifragile is being alive. You should crave being kicked around.
The more you've been kicked around, the more you know that you're
turning into that diamond."
da resiliência / antifragile
How does IQ relate to personality?
"It's just that IQ is primarily measured with ability tests, whereas
personality tests are primarily measured with questionnaires. But this
is more a reflection of a lack of ingenuity on the part of psychologists
than a real difference in domain of human functioning. [...] It's
theoretically possible to measure personality traits through ability
tests. For instance, agreeableness could be measured through tests of
perspective taking, conscientiousness could be measured through tests of
self-control, and neuroticism could be measured through measures of
emotional self-regulation. Viewing IQ as a personality trait is helpful
because it puts IQ in perspective. We can take a birds eye view of all
the many fascinating ways we differ from one another in cognitive
processing, emotion, and motivation, while seeing where IQ fits into
that bigger picture."
Aqui
The 16PF Questionnaire
Sobre Colin DeYoung (personality neuroscientist)
Sobre "The Cambridge Handbook of Intelligence"
Sobre o teste de personalidade.
The personality puzzle
“We are going to the moon that is not very far. Man has so much farther to go within himself.” [Anaïs Nin]
"Pouco antes da era moderna, a humanidade europeia sabia menos que Arquimedes no século III antes de Cristo, ao passo que, nos primeiros cinquenta anos do nosso século, o número de descobertas importantes foi maior que o de todos os séculos de história somados. No entanto, com igual razão, atribui-se ao mesmo fenómeno a culpa do não menos comprovado aumento do desespero humano, ou do niilismo especificamente moderno que tomou conta de sectores cada vez maiores da população, do qual o aspecto mais significativo é que já não poupa os próprios cientistas, cujo fundamentado optimismo, no século XIX, foi ainda capaz de enfrentar o igualmente justificado pessimismo de pensadores e poetas. A moderna concepção astrofísica do mundo, que teve início com Galileu, e a dúvida que lançou quanto à capacidade de os sentidos perceberem a realidade, deixou-nos um universo de cujas qualidades conhecemos apenas o modo como afectam os nossos instrumentos de medição; e, nas palavras de Eddington, "as primeiras assemelham-se ao segundo tanto como um número de telefone se assemelha ao assinante". Por outras palavras, ao contrário de qualidades objectivas, encontramos instrumentos e, ao contrário da natureza do universo, o homem — nas palavras de Heisenberg — encontra-se apenas a si mesmo."
Hannah Atendt, A Condição Humana
Gifted Calvin
The tragedy of these traits is that, despite being rather common, they are often the very things that keep students from being identified and placed in a gifted program..."
Aqui
Rethinking Giftedness
"While promising future athletes and musicians tend to be identified and
actively supported from an early age in the United States, the same
intense support is not always provided to children who display academic
promise – thus hurting the ability of our most talented individuals to
compete in the global economy. This major new report explores the
reasons for this disconnect, and brings psychological science to bear on
the question of how to better nurture young talent across all fields of
endeavor." Aqui.
"A team led by Rena F. Subotnik discusses their extensive report on
giftedness, which was published in Psychological Science in the Public
Interest, a journal of the Association for Psychological Science."
Sobre Rena Subotnik
Sobre Paula Olszewski-Kubilius
Sobre Frank Worrell
Gifted Knowing & Thinking: Research tells us what it looks like
Referência a adultos sobredotados ao minuto 37
"The corpus collosum of the gifted brain is much thicker. It has many more neurons." [min 51:40]
Mathematically Gifted Children: Developmental Brain Characteristics and Their Prognosis for Well-Being, por Michael O'Boyle — aqui
How to predict the future with game-theory
Mais aqui
O novo Nostradamus.
"If you listen to Bruce Bueno de Mesquita, and a lot of
people don't, he'll claim that mathematics can tell you the future. In
fact, the professor says that a computer model he built and has
perfected over the last 25 years can predict the outcome of virtually
any international conflict, provided the basic input is accurate."
Models tie us to a mast of logic
 |
| Pintura de John William Waterhouse |
Aqui
Why Models?
Reason #1: To be an intelligent citizen of the world.
Reason #2: They make us better clear thinkers.
Reason #3: To understand and use data.
Reason #4: To decide, strategize and design.
Models are the new lingua franca, they're the language of business, they're the language of politics, they're the knowledge of the non profit world.
Models tie us to a mast of logic, and by doing so, we figure out which ways of thinking, which ideas are useful.
Models are better than we are.
The accuracy of different ways of predicting ('Formal Models' do better):
 |
| Model by Philip Tetlock |
Models are fertile. Once you learn a model for one domain, you can apply it to a whole other bunch of domains. You can also use them to find out who wrote a book.
Models make us humble. They make us see the full dimension of a problem.
Thinkers who use many models, know best. So what is really important, is to have many models.
The 'Foxes', who had lots of models, did much better than the 'hedghogs', who had no models (Philip tetlock). Formal models did better than 'Foxes'. People with lots of 'Formal models' will do even better. So the idea is to use multiple models.
Models make us clearer thinkers. They work through logic. They inductively explore. They allow us to understand the class of outcome [05:42]. They help us to identify logical boundaries [07:26]. models allow us to communicate our ideas and what we know, really simply [08:21].
Steps to build a model:
— Name the parts (people, money, places, preferences, etc)
— Identify relationships (and how things play out)
People use models to:
— Understand patterns
— Predict points [02:07]
— Produce bounds
— Retrodict
— Predict other stuff
— Inform data collection
— Estimate hidden parameters
— Calibrate
How can models help us?
— They can be real time decision aids.
— They can help us with comparative statics.
— They can help us with counter factuals.
— We can use them to identify and rank.
— They can help us with experimental design.
— They can help us design institutions, themselves.
— They can help us choose among policies and institutions.
Sweden Is Shifting To A 6-Hour Work Day
"Here are some of the benefits I feel could come from making this shift, all of which are of course dependent on how well the change is implemented and the work ethic of each employee:
— A more focused workforce: Knowing that they will still have an ample portion of the day available to them after work, employees should find themselves more inclined to be productive during work hours.
— Traffic avoidance: If implemented correctly, employees could potentially avoid at least one, if not both, of the peak traffic times for travel, giving them more free time and hopefully improving their morale.
— Improved social life: With more time away from work daily, individuals would have more time to commit to themselves and others outside of the workspace, hopefully improving relationships.
— A healthier workforce: The excess free time could easily be used to increase important health factors such as sleep, diet, and exercise."
Aqui
The science of happily ever after
"When finding a long-term partner, don’t waste your wishes, he warns.
So what should be on your list? Keep attractiveness off the table, if
you can. Looks are not a predictor of sexual satisfaction, nor do they
correlate to happier marriages. In fact, there “is no reliable
association between physical attractiveness and relationship
satisfaction,” he writes, quoting from his own research."
“A grown-up love story should not be a fairy tale or a romantic tragedy,
but instead should be approached as a mystery,” he writes. “If the goal
is to find the truth in love, to search for love that is real and
enduring, then love cannot be left to fate.”
O link ao artigo.
Sobre Ty Tashiro
You learn / The Division of Gravity
You Learn
After a while you learn the subtle difference
Between holding a hand and chaining a soul,
And you learn that love doesn’t mean leaning
And company doesn’t mean security.
And you begin to learn that kisses aren’t contracts
And presents aren’t promises,
And you begin to accept your defeats
With your head up and your eyes open
With the grace of a woman, not the grief of a child,
And you learn to build all your roads on today
Because tomorrow’s ground is too uncertain for plans
And futures have a way of falling down in mid-flight.
After a while you learn…
That even sunshine burns if you get too much.
So you plant your garden and decorate your own soul,
Instead of waiting for someone to bring you flowers.
And you learn that you really can endure…
That you really are strong
And you really do have worth…
And you learn and learn…
With every good-bye you learn.
Jorge Luis Borges
The Division of Gravity, de Rob Chiu
Em Português:
Após um tempo,
Aprendemos a diferença subtil
Entre segurar uma mão
E acorrentar uma alma,
E aprendemos
Que o amor não significa deitar-se
E uma companhia não significa segurança
E começamos a aprender...
Que os beijos não são contratos
E os presentes não são promessas
E começamos a aceitar as derrotas
De cabeça levantada e os olhos abertos
Aprendemos a construir
Todos os caminhos no hoje,
Porque a terra amanhã
É demasiado incerta para planos...
E os futuros têm um forma de ficarem
Pela metade.
E depois de um tempo
Aprendemos que se for demasiado,
Até um calorzinho do sol queima.
Assim plantamos nosso próprio jardim
E decoramos nossa própria alma,
Em vez de esperarmos que alguém nos traga flores.
E aprendemos que realmente podemos aguentar,
Que somos realmente fortes,
Que valemos realmente a pena,
E aprendemos e aprendemos...
E em cada dia aprendemos.
Em castelhano:
Y Uno Aprende
Después de un tiempo,
uno aprende la sutil diferencia
entre sostener una mano
y encadenar un alma,
y uno aprende
que el amor no significa acostarse
y una compañía no significa seguridad
y uno empieza a aprender...
Que los besos no son contratos
y los regalos no son promesas
y uno empieza a aceptar sus derrotas
con la cabeza alta y los ojos abiertos
y uno aprende a construir
todos sus caminos en el hoy,
porque el terreno del mañana
es demasiado inseguro para planes...
y los futuros tienen una forma de caerse
en la mitad.
Y después de un tiempo
uno aprende que si es demasiado,
hasta el calorcito del sol quema.
Así que uno planta su propio jardín
y decora su propia alma,
en lugar de esperar a que alguien le traiga flores.
Y uno aprende que realmente puede aguantar,
que uno realmente es fuerte,
que uno realmente vale,
y uno aprende y aprende...
y con cada día uno aprende.
O que queres ser quando fores grande?
Sobre Emilie Wapnick
"Now, let's say that you are, in your heart, a specialist. You came out of the womb knowing you wanted to be a pediatric neurosurgeon. Don't worry! There's nothing wrong with you either! In fact, some of the best teams are comprised of a specialist and a multipontentialite paired together. The specialist can dive in deep and implement ideas, while the multipontentialite brings a breath of knowledge to the project. It's a beautiful partnership. But
we should all be designing lives and careers that are aligned with how
we're wired. And, sadly, multipontentialites are largely being
encouraged simply to be more like their specialist peers. So, with that
said, if there's one thing you take away from this talk, I hope that it
is this: embrace your inner wiring, whatever that may be."
Emilie Wapnick
Papeis pintados com tinta
"O velho fundo da minha biblioteca dos tempos de solteira, deixara-o eu na Rússia: tanto os nossos grandes poetas, alemães e russos, como os livros que utilizara nos meus estudos semi-secretos de outrora, e que em parte adquirira com grandes dificuldades e às escondidas, em troca de jóias que fui vendendo com esse fim (desse modo, obtive, por exemplo, as obras de Spinoza). Mas um dos principais e mais penosos motivos da mísera situação das minhas bibliotecas é o seguinte: o volume e peso dos livros tornava-se tão difícil ler deitada que preferia lê-los aos bocados, sem voltar depois a mandá-los encadernar. Por fim, nunca deixei de os emprestar e oferecer, especialmente os que mais estimava, coisa que segundo receio, decorre de um motivo algo absurdo: falta de apreço pelo exemplar de papel mil vezes reproduzido, como se, em rigor, o conteúdo devesse substituir por si só, à maneira de um fantasma, no olhar, independentemente do papel."
Lou Andreas-Salomé, Um Olhar para trás
Wild is the wind
Love me, love me, say you do
Let me fly away with you
For my love is like the wind
And wild is the wind
Give me more than one caress
Satisfy this hungriness
Let the wind blow through your heart
For wild is the wind
You touch me
I hear the sound of mandolins
You kiss me
With your kiss my life begins
You're spring to me
All things to me
Don't you know you're life itself
Like a leaf clings to a tree
Oh my darling, cling to me
For we're creatures of the wind
And wild is the wind
So wild is the wind
Dimitri Tiomkin & Ned Washington
