跟读练习: A simple guide to chaos theory - BBC World Service - 通过YouTube学习英语口语
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Imagine, the year is 1905.
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Imagine, the year is 1905.
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One day, the clock on the tower in Berne, Switzerland, is a little late.
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Two minutes late, to be more precise.
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For that reason, a man who lives near the tower does not wake up at the same time that he usually wakes up to go to work.
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Realising the mistake, he becomes a little nervous.
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It takes him a little longer to get dressed, drink some coffee and leave the house.
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He leaves five minutes later than usual. He is about to cross the street.
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Meanwhile, a banker gets into his new car without knowing that it has a problem with the brakes.
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Our man crosses the street and doesn't see the car.
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The man is run over and dies.
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This man is no less than Albert Einstein.
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That year Einstein should have published four works that would become the basis of modern physics.
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Innovations like GPS, TV screens, the semiconductors that allowed us to create laptops, never happen.
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The computer, the laptop, the mobile you are watching this video on never come into existence.
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And this video... doesn't exist either.
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This sequence of events is an example of what is known as the butterfly effect, a manifestation of Chaos Theory.
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For many centuries, the world was explained through the laws of Isaac Newton and classical physics.
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According to these laws, if the current state of an object is known, its future behaviour can be predicted with relative ease.
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Chaos Theory questions this deterministic vision: not everything is predictable anymore, nor does it work like clockwork.
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Since the 1800s, mathematicians have raised the idea that not all phenomena could be predicted by Newtonian laws.
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But a meteorologist named Edward Lorenz made chaos theory a visible phenomenon.
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It all started in 1961 when he was working on a mathematical model to forecast the weather.
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Lorenz entered data such as temperature, humidity, pressure, and wind direction into his computer.
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His computer would draw a graph modelling what the weather would be like, not always accurate, but very close to reality.
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One morning, Lorenz decided to verify some results.
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He stopped the computer, to save time, entered the numbers himself, and went to grab a coffee.
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When he returned, the chart was incredibly different from the original.
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At the beginning it started out pretty similar, but in the middle it presented a completely different trajectory.
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Surprised, he checked the numbers.
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He found that the number he had entered was three tenths less than the number used by the computer.
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That difference, which altered the trajectory so much, is equivalent to a particle of dust on the Eiffel Tower, or one less feather in the weight of a duck.
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Lorenz deduced that this experiment was not a special case, that there were other systems in which tiny differences produced, over time, monumental changes, making everything seem unpredictable... that the flapping of a butterfly in Brazil could, in theory, cause enough of a disturbance to spark a tornado in Texas.
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Even though we have a good idea of how the universe works, there are no measurements that allow us to determine the exact position and speed of every atom in the universe.
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And this "inaccuracy" in our calculations makes predictions difficult, one of the reasons why long-term prediction is impossible.
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But chaos is not the same as disorder.
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Although chaos makes predictions difficult, the universe is not random and effects still follow causes.
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And no matter how chaotic it may seem, a system always follows a trajectory towards a certain point.
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For example, in the calculations Lorenz used for his model, the trajectory created a pattern that resembled the wings of a butterfly.
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Understanding these patterns of chaos has practical applications.
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In the stock market it reminds us that a slight fluctuation can cause a crisis in the market - and that is why we cannot speak of predictions but of probabilities.
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In the human body, it allows us to understand the chaotic behaviour of a heart with cardiac arrhythmia.
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Even in human behaviour, the butterfly effect can be used to analyse social phenomena. For example, how trolling on social networks can be triggered by a single negative comment.
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Our universe continues to obey the laws of cause and effect.
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The sun will continue to rise every morning.
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The planes we build will keep flying.
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Ultimately, chaos theory introduces an element of uncertainty into our reading of the Universe.
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It reveals the limit of our knowledge.
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本课概述
在本课中，学习者将通过观看一段关于混沌理论的视频，理解混沌理论的基本概念及其在实际生活中的应用。通过反复练习和模仿，学习者将能够提高他们的英语口语技能，特别是在语音、语调和流利度方面。结合视频内容，学习者还能够更好地掌握幽默和轻松的语气，提高他们的雅思口语练习表现。
关键词与短语
- 混沌理论 (chaos theory)
- 蝴蝶效应 (butterfly effect)
- 气象学家 (meteorologist)
- 预测 (prediction)
- 因果关系 (cause and effect)
- 动量变化 (momentum change)
- 社会现象 (social phenomenon)
- 卡迪克心律失常 (cardiac arrhythmia)
练习技巧
为了有效地进行英语影子跟读，学习者需要注重视频的语速与语调。由于本段视频节奏适中，学习者可以选择逐句模仿并反复练习。建议以下几点：
- 首先，仔细听视频内容，把握每句话的语气和节奏。注意人物的情感表达，不仅仅是语音。
- 然后，利用慢速播放模式，分段进行模仿。每段结束后，暂停并重复刚才听到的内容，努力模仿发音及语调。
- 同时，可以将注意力集中在混沌理论相关的关键词上，尝试运用这些词汇构建自己的句子，提升英语口语练习的多样性。
- 对于较难的语句，可以尝试大声朗读，配合肢体语言来增强记忆与理解。
- 最后，建议记录自己的发音，并且与原声进行对比，这样可以更好地调整发音，达到更高的流利度。
通过以上的方法，你可以在进行英语口语练习的同时，自然而然地掌握混沌理论的模式与应用，增加你的学术与实际语境中的自信。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。