Name: 三個辨識劣質統計數據的方法
Uploaded: 2017-03-24T14:48:55Z
Duration: 11 min 35 s
Description: 有時候真的很難判斷哪些統計數據是值得信任的。我們不能全然相信統計數據，而是應該要學會看懂數據背後的意義。在這場愉快又充滿幽默的演說中，數據記者夢娜．夏拉比與我們分享她的幾個拿手妙招，可以幫助我們對數據進行質疑、解讀，並真正地理解數據背後的意義。

夢娜．夏拉比: 三個辨識劣質統計數據的方法

三個辨識劣質統計數據的方法

有時候真的很難判斷哪些統計數據是值得信任的。我們不能全然相信統計數據，而是應該要學會看懂數據背後的意義。在這場愉快又充滿幽默的演說中，數據記者夢娜．夏拉比與我們分享她的幾個拿手妙招，可以幫助我們對數據進行質疑、解讀，並真正地理解數據背後的意義。

Statistics shape policy and public opinion, yet four out of ten Americans distrust government economic data. When numbers are misunderstood or misused, society risks losing the ability to measure problems like discrimination or poverty. By learning to question uncertainty, context, and data collection, anyone can cut through misleading averages and flashy charts to find what really matters. The power to question statistics keeps both governments and private interests accountable.

Distrust In Numbers Is Dangerous, But Blind Trust Is Worse

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