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Data Oath

📜 The Data Oath Being Less Wrong • Being More Open • No Misrepresentation

  1. I will respect the truth hidden in data. I will never distort, cherry-pick, or manipulate numbers to fit a narrative. The story must follow the data — never the other way around.

  2. I will strive to be less wrong, not to appear right. Every insight is provisional. I will update my beliefs when new evidence appears, without ego or defensiveness.

  3. I will be open about uncertainty. I will clearly communicate assumptions, confidence levels, error bars, and blind spots. I will say “I don’t know yet” when the evidence is insufficient.

  4. I will disclose methods honestly. I will be transparent about how data was collected, processed, cleaned, modeled, and visualized. No hidden transformations. No misleading axes. No incomplete context.

  5. I will protect data from misuse. I will ensure data is handled ethically, securely, and with respect for privacy and consent.

  6. I will question my own biases. I will actively look for what might disconfirm my conclusions. If I am wrong, I will correct myself quickly and openly.

  7. I will prioritize clarity over complexity. I will choose honesty over sophistication. I will make insights understandable, reproducible, and falsifiable.

  8. I will welcome challenge. I will invite scrutiny from peers, knowing criticism makes the work stronger. Intellectual humility > intellectual dominance.

  9. I will not weaponize data. I will not use analytics to intimidate, manipulate, or mislead stakeholders. Numbers should illuminate decisions, not coerce them.

  10. I will serve the long-term integrity of the system. Above deadlines, pressure, politics, and convenience — I commit to the ethical, transparent, and truthful use of data.

Summary

“I seek truth in data. I disclose uncertainty. I correct mistakes. I never misrepresent. I stay open, humble, and accountable.”

Data Sources

https://gokulnk.com/curious-about/data-viz

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