Statistical Communication

In this episode of “In the Interim…,” host Dr. Scott Berry examines the challenge of communicating complex statistical concepts to non-statistical audiences. Drawing from firsthand experiences in agriculture, professional golf, and clinical development, as well as examples involving historical and scientific figures, Scott reflects on why technical rigor alone often fails to influence. The discussion focuses on the consequences of mismatched language, the importance of empathy, and the utility of simulation when bridging the gap between analysis and stakeholder understanding.

Key Highlights
Illustrated barriers to statistical communication using stories from farming, golf, and early career encounters.
Examples involving John Glenn, Ada Lovelace, and Charles Babbage show how communication, not just science, determines impact.
Insights from Alan Alda on empathy as a foundational tool for scientists presenting technical ideas.
Clinical trial simulations revealed knowledge gaps—such as misunderstanding of power—when communicating with decision-makers.
Emphasizes the necessity of translating analytic outputs into operational, financial, or clinical language for meaningful impact.

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