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(单词翻译:双击或拖选)
Robyn Williams: I wear sandals to work. So Does Jonathan Green. We do so for two reasons. First, to make at least one thing Gerard Henderson writes – just one – to be true. He’s always calling us at the A.B.C. Sandalistas – an odd, rather ugly term implying Maoist tendencies with basket-weaving undertones. So we eschew1 our designer brogues and wear brown New Zealand made Roman Sandals to work instead.
But the other reason we do so is to emulate2 Einstein, especially in this 101st anniversary of General Relativity. Why? Well here’s physicist3 Len Fisher to reveal all.
Len Fisher: I’d like to talk to you today about Einstein’s socks – well, not so much about his socks, but about the way of thinking that led him to decide never to wear them, and which also led him to his theories of relativity.
Einstein was very proud of the fact that he never wore socks. On one visit to the University of Oxford4, he wrote to his cousin and eventual5 second wife Elsa, “Even on the most solemn occasions I got away without wearing socks and hid the lack of civilization in high boots.” But he wasn’t just doing this out of rebellion. He explained his reasons in a letter to his friend Philippe Halsmann, whose iconic photograph of Einstein would eventually appear on a U.S. stamp. “When I was young,” he said “I found out that the big toe always ends up making a hole in a sock. So I stopped wearing socks.”
The clue to Einstein’s thinking here lies in that little word “so”, but there’s a logical leap. OK, when we look at photographs of Einstein in sandals, we can see that his big toe projects well beyond the second. But why should this mean that he had to give up the comfort of socks? Why not just buy new ones when the old ones wore out?
What surely swung Einstein’s decision was the underlying6 thought “what if?” “What if I gave up wearing socks?” is not a question that would occur to many of us, but to Einstein it was a natural question to ask, and one that led to a basically barefoot existence.
When he was 15 or 16 he asked another “what if?” question in a letter to his uncle, Cäsar Koch - what would a light beam look like if you could run alongside it at the same speed?
Probably he didn’t realize it at the time, but he was asking a very fundamental question that was already bugging7 physicists8. The problem was this. If you could keep pace with a light beam (known by this time to be an oscillating wave travelling through space), then it would appear to your eyes to be stationary9, just as a wave travelling across water would appear to have a constant, immobile shape if you could run alongside it. Yet physicists knew that Maxwell’s equations, which describe the propagation of light waves, forbid the occurrence of such a stationary state.
Ten years after he first raised the question, Einstein came up with an answer in the form of another “what if?” question. What if you couldn’t ever run alongside a light wave? What if, no matter how fast you ran, the light wave always caught up with you and passed you at the same speed as if you weren’t running at all? Then it would simply be zipping past, no matter how fast you were travelling, and would never appear stationary. In exploring this possibility, which sounds as though it comes from a world of cartoon fantasy, Einstein came up with his Special Theory of Relativity.
In fact, the world of cartoon fantasy is littered with “what if” scenarios11. They’ve even been encapsulated as the laws of cartoon physics, such as the law that characters are never affected12 by the law of gravity until they notice it – after they’ve stepped off the edge of a cliff, for example, and remained suspended until they have suddenly realized their perilous13 situation and gone plummeting14 to the round.
The world of cartoon fantasy doesn’t concur15 with our observations of reality, but many of the major advances in science have come through checking out the answers to “what if” questions. One of the best known was due to Isaac Newton, who wondered what would happen if all bodies, no matter how far apart, exerted an attractive force on each other that diminished with the square of the distance between them.
Newton checked out his speculation16 by calculating what the orbits of the Moon and planets might be if such an attractive force did exist, and of course he got answers that conformed with reality and supported his idea about the force that we now know as gravity. More recently, a world-wide team of scientists has confirmed the existence of waves in the gravitational field – a prediction that was made by Einstein when he asked “what if” gravity was a geometric property of space and time.
But “what if” questions are going a lot further these days, and impinging on our lives in ways that more people should know about.
Probably the simplest to grasp conceptually is the idea of scenario10 planning. In developing policies for flood or fire protection, for example, a responsible body might ask “what if” so may houses are built in an area, or “what if” rainfalls reach a particular level that might produce flooding. Similarly when it comes to protection against terrorist attacks a series of “what if” questions is likely to be high on the agenda. In all cases, a set of possible scenarios is drawn17 up, the likelihood of their occurrence analyzed18, and appropriate measures put in place. Or so the theory goes.
One of the great problems with this sort of approach is the common assumption that the future is likely to be the same as the past. When the first attempts at systematic19 weather forecasting were made, one idea was to look back through the records for a day where the weather was much the same as the day when the forecast was being made. The assumption was that the weather on the following day would be the same as the weather on the following day in the historical past.
But surprising events are always occurring to disrupt this sort of forecasting. When IBM built its first computers in the early 1940s, President Thomas Watson famously predicted a world market of “maybe five computers.” When it comes to weather forecasting, longer-range forecasts are being blown apart by the accelerating pace of global warming. In my own world of nanotechnology, the discovery of graphene has revolutionized the electronic applications in particular.
What we need, and what is happening, is a different sort of “what if” question – one that is relevant to today’s needs and the pace of change. It is coming in the form of computer modeling of our complex world, where the “what if” question comes in the form “what if this particular model represents reality?” with the answer “well in that case this is how the system will evolve and change over time.”
Some of the greatest investment in this area has come in the form of climate modeling, which has been the subject of other programmes in this series. But the biggest insights, the ones that policy-makers really need to sit up and take notice of, have barely reached the fringes of public consciousness.
The first, and most important, is that all complex systems have a built-in capacity to change suddenly to a different state. By complex systems I mean systems of many interacting parts, where the emergent properties of the whole can be much greater than the sum of its parts. So banking20 systems may collapse21 almost without warning; societies may burst into rebellion; the composition of the bacterial22 ecosystem23 in your gut24 or the wider ecosystem of which you are a part may suddenly change.
No amount of forward planning can prevent such changes in the long term. Such planning is too often based on the political assumption that some particular set of dogmas ought to work, therefore it must be possible to make them work. But instead of aiming to set our complex socio-economic-ecological world in concrete in this way, we should instead be aiming for resilience – the ability either to bounce back from sudden change or to accept and adapt to it, if that seems the better option. This is where the frequently-bandied idea of big data comes into the frame, usually with the idea that, if we only know enough about the system, we will be able to control how it behaves.
Fat chance. One of the strongest insights from our era of big data and computer modeling is that tiny changes in one part of the system can give rise to dramatic change in other parts.
So our modern “what if?” question becomes “when?” Not what will happen if there is a sudden change in our apparently25 well-regulated and stable world, but when such a change inevitably26 happens, will we be prepared?
At the moment we are not, for the simple reason that the pace of change when it happens is too rapid for human institutions to cope with. It is for this reason that stock markets, not to mention institutions like Google, Facebook and Twitter, now rely on algorithms to make decisions for them.
An algorithm is a set of pre-decided rules that take data like stock prices, incomes or our personal habits and use them to develop actions and policies, from choosing which advertisements to target us with to where to put the money that we have saved for our retirement27. Governments are now using algorithms as a convenient way to develop social policy, in a powerful and dangerous mix of opacity28 and executability. Neither we nor the developers can see what is going on beneath the surface when an algorithm is implemented29, yet we can be deeply affected by the result. To give just one example, military drones are directed by algorithms both to seek out targets and to take whatever their owners conceive to be “appropriate” action against them.
With the advent30 of algorithmic governance in many areas we have come to an era where “what if?” has been replaced by “what”. An algorithm is told what the data are, and proceeds from there unquestioningly. But what if different variables might produce a different outcome? What if, for example, we could input31 human values and aspirations32, rather than incomes, ages and social status, into the algorithms that are coming to control our lives?
Einstein once said: “Why does this magnificent applied33 science which saves work and makes life easier bring us so little happiness? The simple answer runs: Because we have not yet learned to make sensible use of it.”
My question to you is “What if we could learn to make sensible use of the insights that we are rapidly developing into how our complex world works? What if we could use our models and our tools to promote human happiness, rather than just big profits for big business? What if we could plan for inevitable34 change, to be met with resilience, rather than try vainly to lock ourselves in to an imaginary utopia that has never existed and never can exist? What if we could discard the stifling35 socks of reality and walk bare-footed into a freer and brighter future?”
Ah, well – I may not be an Einstein, but at least I can dream.
Robyn Williams: You can, Len. You can. Len Fisher used to be at the CSIRO and now does physics in Bristol. That’s where he polishes his Ig Nobel Prize. Next week, what if we culled36 those noisy mynahs? And I don’t mean Clive Palmer or Twiggy37 Forest, I mean those terrifying native birds which now destroy so many little ones. Has their time finally arrived? Sue Taylor in Melbourne comments. I’m Robyn Williams.
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1
eschew
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| v.避开，戒绝 | |
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emulate
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| v.努力赶上或超越，与…竞争；效仿 | |
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physicist
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| n.物理学家，研究物理学的人 | |
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Oxford
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| n.牛津（英国城市） | |
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eventual
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| adj.最后的，结局的，最终的 | |
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underlying
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| adj.在下面的，含蓄的，潜在的 | |
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bugging
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| [法] 窃听 | |
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physicists
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| 物理学家( physicist的名词复数 ) | |
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stationary
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| adj.固定的，静止不动的 | |
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scenario
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| n.剧本，脚本；概要 | |
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scenarios
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| n.[意]情节；剧本；事态；脚本 | |
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affected
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| adj.不自然的，假装的 | |
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perilous
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| adj.危险的，冒险的 | |
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plummeting
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| v.垂直落下，骤然跌落( plummet的现在分词 ) | |
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concur
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| v.同意，意见一致，互助，同时发生 | |
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speculation
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| n.思索，沉思；猜测；投机 | |
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drawn
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| v.拖，拉，拔出；adj.憔悴的，紧张的 | |
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analyzed
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| v.分析( analyze的过去式和过去分词 )；分解；解释；对…进行心理分析 | |
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systematic
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| adj.有系统的，有计划的，有方法的 | |
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banking
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| n.银行业，银行学，金融业 | |
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collapse
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| vi.累倒；昏倒；倒塌；塌陷 | |
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bacterial
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| a.细菌的 | |
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ecosystem
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| n.生态系统 | |
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gut
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| n.[pl.]胆量；内脏；adj.本能的；vt.取出内脏 | |
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apparently
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| adv.显然地；表面上，似乎 | |
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inevitably
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| adv.不可避免地；必然发生地 | |
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retirement
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| n.退休，退职 | |
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opacity
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| n.不透明；难懂 | |
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implemented
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| v.实现( implement的过去式和过去分词 )；执行；贯彻；使生效 | |
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advent
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| n.(重要事件等的)到来，来临 | |
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input
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| n.输入(物)；投入；vt.把(数据等)输入计算机 | |
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aspirations
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| 强烈的愿望( aspiration的名词复数 )； 志向； 发送气音； 发 h 音 | |
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applied
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| adj.应用的；v.应用，适用 | |
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inevitable
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| adj.不可避免的，必然发生的 | |
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stifling
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| a.令人窒息的 | |
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culled
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| v.挑选，剔除( cull的过去式和过去分词 ) | |
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twiggy
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| 多细枝的，小枝繁茂的 | |
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