Communicating Complex Statistical Ideas to the Public - Lessons from the Pandemic - D. Spiegelhalter

Explore the challenges and importance of communicating complex statistical information to the public during a crisis in this 49-minute lecture by Professor Sir David Spiegelhalter. Gain insights into the successes and failures of statistical communication during the COVID-19 pandemic. Learn about the subtle pitfalls in interpreting data, the art of statistical interpretation, and the potential for misrepresentation. Discover how the Winton Centre for Risk and Evidence Communication works to improve statistical evidence use across various fields. Examine topics such as uncertainty in AI, effective statistics communication, trustworthy data interpretation, and the role of experts and media in conveying statistical information. Analyze specific examples from the pandemic, including vaccination data, case rates, and public trust in statistics. Understand the importance of confidence intervals and multilevel regression in presenting accurate statistical information to the public.

Intro
About Prof Adrian Smith
Uncertainty in AI
Getting into Statistics
Statistics Communication
Statistics Book
Staying in the Middle
How well are they working
Trustworthy communication
Interpreting data
UK Dashboard
The Experts
The Data
Propaganda
Antibody data
Multilevel regression
BBC coverage
Vaccination
Case Rates
Trust
Attitude to Statistics
Confidence Interval