Correlation vs Causation: A Brief Guide To Communicating Research
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- เผยแพร่เมื่อ 4 ต.ค. 2024
- 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 👉👉 realrisk.winto...
The Winton Centre's website: 🌐 wintoncentre.m... 🌐
Risky Talk the podcast with David Spiegelhalter: 🗣️🎙️ riskytalk.libs...
More on David's book The Art of Statistics - bit.ly/31TvZsC
What a great explanation. An increase in educated internet users will cause additional subscribers to this channel.
Nice, I see what you did there :)
Thank you for the clarity you bring to these terms.
Thank you! I appreciate you going over this.
Diamond clear. And a set of "go-to" explanations that really fill a gap!
Glad you think so!
This explanation is by far the best. (if you ask me)
Thank you!
an excellant talk
Brilliant explanation.
Excellent communicator and communication :)
Please, what is his name? I really love watching his videos. Pure knowledge here.
Professor David Spiegelhalter
@@TheWintonCentre Thank you!
SEM PLS os for correlation right? Not for causation
I have been finding papers where they use first the word impact and then the word related like if it were synonyms. It's confusing to read it.
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this is so clear, thanks from a yank