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#50 Ta(l)king Risks & Embracing Uncertainty, with David Spiegelhalter

Learning Bayesian Statistics

NOTE

Trust in Data Lies in Transparency

Effective communication of data is essential for stakeholders, the media, and policymakers, especially regarding its trustworthiness. It's crucial to produce confidence intervals around estimates and to perform sensitivity analyses for various scenarios. The reliability of models used for analysis, particularly in the context of a pandemic, is often inadequate. For example, multiple teams in the UK assess the reproduction number, R, and although they collaborate to publish a consensus value, significant discrepancies exist in their individual estimates and intervals, highlighting the need for transparency to foster trust in the results.

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