Name: 甄别不可信统计数据的3种方法
Uploaded: 2017-03-24T14:48:55Z
Duration: 11 min 35 s
Description: 有时候很难知道哪些统计数字是可信的，但我们也不能完全忽略这些数据……正相反，我们要学会看到这些统计数字背后的东西。在这场愉轻松、有趣的演讲中，数据记者（data journalist）莫娜 查拉比分享了几点实用的建议，它将帮助你质疑、解释并且真正理解这些统计数字的含义。

有时候很难知道哪些统计数字是可信的，但我们也不能完全忽略这些数据……正相反，我们要学会看到这些统计数字背后的东西。在这场愉轻松、有趣的演讲中，数据记者（data journalist）莫娜 查拉比分享了几点实用的建议，它将帮助你质疑、解释并且真正理解这些统计数字的含义。

甄别不可信统计数据的3种方法

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

Follow Mona Chalabi on Instagram

Follow Mona Chalabi on Twitter

Mona Chalabi at The Guardian

*Am I Normal? with Mona Chalabi*

communication

data

journalism

math

social change

society

statistics

visualizations

storytelling

TED Stage Talk

莫娜 查拉比: 甄别不可信统计数据的3种方法