大數據時代必讀的暗數據解析大作。
「只因為沒有人在森林裡聽見樹倒了,不代表樹沒發出聲音。」
我們都習慣看向光亮之處,
但是黑暗中,看不見的事物裡,必定藏有更多決定性細節。
◆本書賣點
●《不大可能法則》作者全新著作。所謂暗數據,
●大數據就像漫畫一般,以簡單幾筆,補捉基本的輪廓,
◆內容簡介
//在遺漏數據的世界裡做出好決定的務實指南//
身處大數據時代,不難以為我們擁有做出好決定的一切數據。
本書探討許多對於暗數據視而不見的情況,
如今我們所有人都仰賴數據做決定。
★暗數據無所不在,生活中有哪些事件涉及了暗數據?
‧有人類,就有詐騙。如何辨識各種隱藏數據的詐騙手法?
‧挑戰者號太空梭爆炸事故起因於漏掉的數據?
‧症狀不明顯的病人容易錯過最佳治療時機?
‧鑽漏洞與操弄制度也屬於玩弄暗數據?
‧社群媒體讓我們覺得他人生活多采多姿,竟是暗數據的作用?
‧選舉民調中未回覆的民眾,可能具有決定性的影響力?
本書特色
■作者出身學術界,也為金融、健康、
■數據不是絕對的客觀,也非真理:本書教讀者在判讀資料時,
■展現一般人不易觀察到的統計學分析角度:
■深入剖析生活中實例,有閱讀驚悚推理小說的味道:
■本書延續作者前一部作品《不大可能法則》的風格,觸及醫療、
名人推薦
鄭宇庭 政治大學商學院統計系教授
謝邦昌 輔仁大學副校長、台灣人工智慧發展學會(TIAI)理事長
謝金河 財信傳媒集團董事長
M觀點創辦人 Miula
各界佳評
本書深入研究了遺漏的(暗)數據,
你一定要讀這本書,信服作者的論證與實例,
不論是個人或專業領域,我們做決定時總會從某些數據開始。
任何依靠數據做決策的人,不可能讀完本書而不獲益良多。
作者大大照亮了統計學裡的陰暗角落。書中知識淵博,但充滿機智,
本書與眾不同,是介紹暗數據的好讀指南,
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