Which actions are recommended to ensure accuracy in data-driven Forbes stories?

• A. Reproduce calculations and provide sources only.
• B. Include a data appendix without reproducing calculations.
• C. Reproduce calculations, provide sources, check for rounding biases, and include a data appendix or method note.
• D. Check rounding biases and provide a data appendix.

Answer: (C)

Ensuring accuracy in data-driven Forbes stories hinges on transparency and verifiability. Reproducing calculations so others can step through the math, and providing sources for every data point, establishes a clear audit trail that readers can follow. Checking for rounding biases is essential because how numbers are rounded can subtly shift interpretations, affect comparisons, or change proportions, so identifying where rounding occurs and how it influences results helps prevent misreporting. Including a data appendix or method note gives readers access to the underlying data, definitions, timeframes, filters, and the exact procedures used to derive the figures, fostering deeper understanding and trust.

When any one of these elements is missing, the integrity of the story is weakened. Reproducing calculations and sources without addressing rounding biases or offering a method note leaves gaps in how the numbers were derived. A data appendix without the math or sources reduces transparency. Addressing all parts together—calculations, sources, rounding checks, and a data appendix or method note—provides a complete, verifiable picture of the data storytelling.