A Quote by Mark Helprin
Really the best way to learn about something is simply to read it and not make a scientific theory of interpretation.
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When I was in high school, I was really into string theory and superstring theory and read 'Scientific American.' It's fascinating.
Read, read, read, read, read. Read everything. You can’t work unless you know the world, and outside of living in the world the best way to learn about the world is to read about it.
A theory is only as good as its assumptions. If the premises are false, the theory has no real scientific value. The only scientific criterion for judging the validity of a scientific theory is a confrontation with the data of experience.
If you can't think of an observation that could disprove a theory, that theory simply isn't scientific.
Whatever life may send your way - make the best of it. Don't waste your time and energy worrying about it. Instead, find a way to do something about it. Learn from it, adjust to it, be strong, be flexible and be your best in every situation.
Unfortunately, there is something of a flaw in this idealized picture of the way the scientific community discovers truth. And the flaw is that most scientific work never gets noticed. Study after study has shown that most scientific papers are read by almost no one, while a small number of papers are read by many people.
If there's something you really love, something that you're excited to learn, something that you're energized when you hear about, speak about, or read about, that's where you want to throw your energy.
When you learn to read and write, it opens up opportunities for you to learn so many other things. When you learn to read, you can then read to learn. And it's the same thing with coding. If you learn to code, you can code to learn. Now some of the things you can learn are sort of obvious. You learn more about how computers work.
Typically in science, individual scientists make up their minds about scientific fact or theory one at a time. We don't take votes. We just don't vote on quantum mechanics, the theory of relativity, why the sky is blue, or anything else.
I read a lot of literary theory when I was in graduate school, especially about novels, and the best book I ever read about endings was Peter Brooks' 'Reading for the Plot. '
A scale is just the notes that are in a chord played one at a time instead of together. That's what has allowed me to go through the possible notes that work with a chord and make choices about which ones I like best. I go through by ear; you can do it by theory too, but the best way is to learn by ear.
Theories, for me, are just about freeing your mind. It doesn't mean the theory is going to work like a scientific theory works. It's about freeing your mind and making you think a different way.
As time passed I became an avid reader of popular scientific books, wanting to know as much as I could about the world in which I lived. Gradually I began to see a pattern of nonsense in much scientific writing. Scientific explanations given regarding the origins or functioning of various phenomena simply didn't make sense.
Often, when I want to read something that is satisfying to me as theology, what I actually read is string theory, or something like that - popularizations, inevitably, of scientific cosmologies - because their description of the scale of things and the intrinsic, astonishing character of reality coincides very beautifully with the most ambitious theology. It is thinking at that scale, and it is thinking that is invested with meaning in a humanly evocative form. That's theology.
I had two passions when I was a child. First was to learn about Einstein's theory and help to complete his dream of a unified theory of everything. That's my day job. I work in something called string theory. I'm one of the founders of the subject. We hope to complete Einstein's dream of a theory of everything.
My provocative statement is that we desperately need a serious, scientific theory of cities and scientific theory means quantifiable, relying on underlying generic principles that can be made in a - put into a predictive framework. That's the quest.
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