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: Finally, I’ll share three slogan options:
Let's get this ready for the user!
这句话很对：数据本身中立，误导常发生在解读。
你希望我怎么帮？
- 翻译成英文/双语海报文案
- 扩展成一段短文或演讲开头
- 举几个典型误读的案例
- 做一份“避免误读”的检查清单
- 打磨成更有力的中文标语
先给你几种精炼改写：
- 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
- 数据不骗人，被人误解
- 数据是事实，结论是选择
避免误读的快速清单：
- 样本与基线：样本量、代表性、对照组是否合理
- 口径一致：指标定义、计算口径、时间窗是否统一
- 相关不等于因果：控制混杂变量，慎用因果语言
- 看分组与时间：提防辛普森悖论、季节性与趋势混淆
- 不确定性：报告置信区间/误差条，而非只给点估计
- 偏差警惕：选择偏差、幸存者偏差、截尾数据
要哪种版本？或给我使用场景/受众，我按需定制。