From a systematic standpoint, I think that capitalism is the best system. I can spend a lot of time explaining why I like communism, but it is actually not a good solution. Nor is socialism. So, capitalism is the right model.
When government programs aren't working, those on the Left tend to support more funding, while those on the Right want to scrap them altogether. It is better to ask whether the problem is complexity and poor design. We can solve those problems - sometimes without spending a penny.
If you try and cover all your bases, like the ECB tend to do, you end up with muddled decisions.
I shall proceed from the simple to the complex. But in war more than in any other subject we must begin by looking at the nature of the whole; for here more than elsewhere the part and the whole must always be thought of together.
It's a question of evidence-based politics. If you know that something does not work, you should not keep doing it.
As Cuvier could correctly describe a whole animal by the contemplation of a single bone, so the observer who has thoroughly understood one link in a series of incidents should be able to accurately state all the other ones, both before and after.
It is the function of science to discover the existence of a general reign of order in nature and to find the causes governing this order. And this refers in equal measure to the relations of man - social and political - and to the entire universe as a whole.
My big thesis is that although the world looks messy and chaotic, if you translate it into the world of numbers and shapes, patterns emerge and you start to understand why things are the way they are.
Indeed, every true science has for its object the determination of certain phenomena by means of others, in accordance with the relations which exist between them.
I don't have any magical ability. I look at a problem, play with it, work out a strategy.
It is impossible, in principle, to explain any pattern by invoking a single quantity.
A theoretical system does not merely state facts which have been observed and that logically deducible relations to other facts which have also been observed.
Science is perhaps the only human activity in which errors are systematically criticized and, in time, corrected.
Anecdotal thinking comes naturally; science requires training.
The scientist is also a composer... You could think of science as discovering one particular thing - a supernova or whatever. You could also think of it as discovering this whole new way of seeing the world.
We ascend the hill-tops of philosophy, not to gaze up at the ever-visible heavens, but to embrace in one grand view the human world beneath us.
We are not inferring design to account for a black box, but to account for an open box.
I'm not sure what theory is, unless it's the pursuit of fundamental questions.
The great benefit of philosophy, which is also its great weakness, is that all its steps are taken in the spirit of doubt.
There's a certain logic to systems, and that logic is fairly self-evident. It's very straightforward, usually. It might take a little research, it might take a little bit of industry to prize it out, but it's there to be seen.
Every fundamental law has exceptions. But you still need the law or else all you have is observations that don't make sense. And that's not science. That's just taking notes.
The systematic experimental study of reproducible errors of human reasoning, and what these errors reveal about underlying mental processes, is known as the heuristics and biases program in cognitive psychology. This program has made discoveries highly relevant to assessors of global catastrophic risks.
Of necessity, a scientist typically studies one incredibly tiny sliver of some biological system, totally ensconced within one discipline, because even figuring out how one sliver works is really hard.
There is a tremendous amount of support for the approach we have taken, which again is to base our decisions on risk analysis and thoughtful scientific process.
Moneyball' doesn't have anything to do with on-base percentage or statistics. It's a constant investigation of stagnant systems, to see if you can find value where it isn't readily apparent.
