数据不会骗人，但你会误解（数据不说谎，误读在于人）

Clarifying user intent

The user wrote a Chinese sentence that means, "Data doesn't lie, but you may misunderstand." I think they might want commentary or further explanation. The request isn't explicit, so I should ask for clarification without assuming anything. Options might include a translation, an explanation, examples to avoid misunderstanding data, or turning it into a slogan. I'll keep my tone friendly and provide these interpretations concisely, asking what they’d like me to do.Providing clarifications and takeaways

I could provide a list of takeaways on avoiding misinterpretation when working with data. Key points might include sample bias, selection bias, correlation vs. causation, base rate fallacy, metric definition, visualization choices, cherry-picking, p-hacking, and Simpson's paradox. I might suggest alternative slogans like "数据不会骗人，误解会” and ask if they'd like a poster or something similar. Then, I can explain that the phrase reminds us that while data is neutral, interpretation errors can lead us astray. I'll ask how they'd like to use this information.Refining the slogan and takeaways

It seems like the user might want a more polished slogan from the original sentence. I’ll create three refined variants in Chinese, making sure they’re crisp. I’ll also craft a quick explanation: “Data isn’t deceptive, but misinterpretations occur.”

Then, I’ll provide a brief checklist with 4–6 key points, like:

• Examine sample and baseline
• Define metrics consistently
• Correlation does not equal causation
• Consider grouping and time dimensions
• Review confidence intervals and error bars

Finally, I’ll share three slogan options:

• 数据不会说谎，解读会
• 数据中立，解读有立场
• 信数据，更要信方法
  Let's get this ready for the user!