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Did you know that 80% of all statistics are actually incorrect and misleading? Is that statistic one of them? When you read about a statistic, how can you know if it's correct or not?

The truth is that stats (statistics) are one of the most powerful tools in convincing people. If someone quotes a stat, our first reaction is often to believe it because it sounds impressive. The other truth is that stats are often purposefully misleading and used to prove a conclusion rather than to find the truth.

For example, if someone tells you that 70% of Chinese married women are unhappy in their marriage, what does that mean? Which women did they ask? What cities are they in? What are their social/economic classes? How many did they ask? How do they define "unhappy"? Even if the stat is true, there's so much beneath every statistic that needs to be checked.

How many stats do you just instantly believe and base your decisions on while they're actually completely wrong?

In this club, we'll look at different stats and we'll think critically about them. Do they make sense? Why? What other info can we find? How do we find that info?

Let's have an eye-opening discussion and a wonderful exercise in critical thinking!

你知道吗，80%的统计数据实际上是不正确的和具有误导性的。这个数据是其中之一吗？当你读到一个统计数据时，你怎么知道它是正确的还是错误的？

事实是，统计数据是说服人们最有力的工具之一。如果有人引用一个数据，我们的第一反应往往是相信它，因为它听起来令人印象深刻。另一个事实是，统计数据经常被故意误导，被用来证明一个结论，而不是发现真相。

例如，如果有人告诉你70%的中国已婚女性在婚姻中不幸福，这意味着什么？他们问了哪些女性？他们在哪些城市？他们的社会/经济阶层是什么？他们问了多少人？他们如何定义“不快乐”？即使统计数据是真实的，每个统计数据背后也有很多需要核实的地方。

有多少数据是你立即相信的，并根据它们来做决定，而实际上它们是完全错误的?

在这个club，我们会看不同的数据，我们会批判性地思考它们。它们有意义吗？为什么？我们还能找到其他信息吗？我们如何找到这些信息？

让我们进行一次大开眼界的讨论，并锻炼批判性思维！