A witty, exhilarating and mind-expanding exploration of the word of our times - data - with mathematician Dr Hannah Fry. Following in the footsteps of BBC Four's previous gleefully nerdy, award-winning maths films The Joy of Stats, Tails you Win - The Science of Chance and The Joy of Logic, this new high-tech romp reveals exactly what data is and how it is captured, stored, shared and made sense of. Fry also tells the story of the engineers of the data age, people most of us have never heard of despite the fact they brought about a technological and philosophical revolution.
For Hannah Fry, the joy of data is all about spotting patterns. She's Lecturer in the Mathematics of Cities at UCL as well as being the presenter of the BBC series Trainspotting Live and City in the Sky, and she sees data as the essential bridge between two universes - the tangible, noisy, messy world that we see and experience, and the clean, ordered, elegant world of maths, where everything can be captured beautifully with equations.
Along the way the film reveals the connection between Scrabble scores and online movie streaming, explains why a herd of Wiltshire dairy cows are wearing pedometers, and uncovers the remarkable network map of Wikipedia. What's the mystery link between 'marmalade' and 'One Direction'?
The Joy of Data also hails the giant contribution of Claude Shannon, the American mathematician and electrical engineer who, in an attempt to solve the problem of noisy telephone lines, devised a way to digitise all information. It was Shannon, father of the 'bit', who singlehandedly launched the 'information age'. Meanwhile, the green lawns of Britain's National Physical Laboratory host a race between its young apprentices in order to demonstrate how and why data moves quickly and successfully around modern data networks. It's all thanks to the brilliant technique first invented there in the 1960s by Welshman Donald Davies - packet switching - without which there would be no internet as we know it.
But what of the future, big data and artificial intelligence? Should we be worried by the pace of change, and what our own data could and should be used for? Ultimately, Fry concludes, data has empowered all of us. We must have machines at our side if we're to find patterns in the modern-day data deluge. But, Fry believes, regardless of AI and machine learning, it will always take us to find the meaning in them.
其实真的是一个恐怖片。看上去光鲜亮丽都市中产，一场婚变就经济压力爆表，得一场病就会失业立马坠入底层。读什么专业不重要，照顾家人省房租才是重点，但凡女儿上个新传这种鸡肋专业，基本就在底层钉得死死的，另一边她爸带着儿子小三住着大别墅，属于是大家都有光明的前途。
主任对路口开车的司机说，你有没有考过驾照？哈哈。想起阳光普照了，我就是驾校教练啊。
前半段惊悚后半段治愈，好喜欢这几个女性角色！
女版《失魂》，2个多小时也不觉长，仿佛自己淹没在社会中的情绪被放大被展现，说出了疫情以来被压抑在这个社会、这个时代、这个都市人心里的无法言明的情绪。后来好像好了，似乎有希望，但“未来会怎样，也没有人知道”。
可以只给半颗星吗？怎么2022年还有人会演这种烂片，真的太烂了，烂的我不知道说什么好呀！！
好消息：罗伯特不用下海
的确有些地方稍微有点尬啊 整体流畅度不如美国女孩 但是想要表达的其实也不尽相同 贾静雯是演的真好
疫情的设置是有必要，否则还有什么事能让她们必须长期共处一室，彼此担心。
楼宇前的蓝色屏障，结尾处的激流猛兽。电影拥有着不错的题材角度和良好的审美气质，母女之间前后的转换和不断遇到好心人的瞬间都蛮柔软抚慰，但整体却有一种很强的拼凑跳跃感，台词和表演也时而尴尬塑料，不知道是不是有意为之。每年都有一部钟孟宏的片子还是挺幸运的事，毕竟华语电影里能以这样的视听气质和影片完成度去聚焦都市人，还是很值得敬佩的。
去年金马奖的最佳影片，钟孟宏的摄影构图依旧保持一流水准，尤其是阳光照射下的都市街景镜头，让人看的很舒服。之前导演在《阳光普照》里探讨父子关系，这次在《瀑布》里讲述疫情背景下，精神崩溃的母亲和叛逆女儿之前关系的调和修复，从前期室内蓝色阴暗的抑郁环境到后期户外阳光普照的室外场景的转变，也对应着母女二人心态的变化。在遭遇家庭系列的变故，彼此相互扶持依靠，重新面对生活。虽说在深度立意上不如之前《阳光普照》那么深刻，但整体故事很细腻，贴近生活，令人暖心治愈。
人物关系和剧情开展让人莫名其妙，很难入戏。连保罗达诺演技这么好的演员都给浪费了，他在关押室里鬼叫那几声尴尬得我脚趾抓地。
那个叫王静的小姑娘是真的可啊。关于疾病与阶级跌落的问题还挺有意思的，口罩和大楼的蓝色罩子也挺对味的。不过后半程钟导的老班底纷纷出场，还有对我们与恶的距离贾静雯女强人身份的延续挺偷懒的。最后非要找个男朋友真挺恶心的。
节奏略慢。蛮好的。其实如果收尾开放性结局反而会更好
真的好好看 对于精神疾病的描述，特别能理解，一个人独自挣扎，太有后劲了。
摄影是强项，但摄影风格和故事本身有割裂感，剧作处理也不太成熟， 有很多的道具人来了又走，没留下任何意义，意象的处理也比较刻意，状态在八点档和艺术片之间来回徘徊。但也比同题材《一念无明》要好得多。
好喜欢！！被罗伯特帕丁森帅晕了！！三个小时的电影还没字幕，完全没走神看完了。有三段让我印象超级深刻：一是bruce去参加市长葬礼的时候，一身黑色正装真的把我帅晕了🤧。二是跟Penguin的追车戏，镜头倒着从火光里走来，太帅了！三是去找falcon的时候在走廊上的打戏，bgm配枪响，极度卡点，极度舒适。画面真的很美，不论是略赛博朋克的城市的大背景还是最后bruce跳下去救人的红蓝碰撞都很绝。甚至有点想二刷
疫情隔离制造了原本淡漠紧张人际关系进一步垮坍的可能 也或许加速放大了种种Fall 细腻敏锐依旧 但用"水坝无预警泄洪"来喻疫情突发下脆弱中产的滑落 太浮于表面了些. 辞格上 眼看着钟孟宏逐渐佛系成为一名广播剧导演 当然 是有不错声效配乐的广播剧 2.5
台湾当代家庭伦理片的代表作，剧作加入了极为丰富的戏剧性，虽然一下就能猜到真蛇与女儿获救，因为整个剧本走向无可避免的温情，这与黑暗的《阳光普照》形成鲜明的对比，当然也和前半段近乎新版《隐形人》的女性寓言格格不入，怎么看都是一个性压抑的中年女人被生活摧毁的故事，
垃圾电影把看我破防了，亮起灯的影厅里，我哭的像个谜语人。
这才是电影，电影艺术。
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