Using causal language when reporting research that only provides evidence of a correlation is one of the most common errors in science reporting.
Professor David Spiegelhalter explains why correlation is not the same as causation - and what language you can use to clearly and accurately communicate observational vs experimental research.
David Spiegelhalter is a statistician, author and broadcaster. His book THE ART OF STATISTICS is a worldwide bestseller. He was the Winton Professor for the Public Understanding of Risk at the University of Cambridge for many years, and served a term as the President of the Royal Statistical Society.
🔗🔗 Links🔗🔗
RealRisk: a tool for science communicators 👉👉
https://realrisk.wintoncentre.uk
The Winton Centre's website: 🌐
https://wintoncentre.maths.cam.ac.uk/ 🌐
Risky Talk the podcast with David Spiegelhalter: 🗣️🎙️
https://riskytalk.libsyn.com/
More on David's book The Art of Statistics -
https://bit.ly/31TvZsC