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mrslaveonMar 22, 2021
[0] https://www.goodreads.com/book/show/51291.How_to_Lie_with_St...
[1] https://www.goodreads.com/book/show/43722897-the-art-of-stat...
nickcwonFeb 10, 2021
It probably *is* 99% accurate - there is a lot of fraudulent activity online.
That 1% false positive rate really hurts though, destroying people's livelihoods.
I think that people developing machine learning models sometimes don't think about the consequences of the false positives enough.
There is a great section in David Spiegelhalter's book The Art of Statistics which got me thinking about this.
kyawzazawonJune 10, 2020
troelsSteeginonMay 17, 2020
"We are a cross-institution research lab working at the intersection of information visualization and uncertainty communication. Our mission is to improve both experts' and lay people's abilities to reason about data through visual representations that align with how people think. Topics we like include sampling-oriented uncertainty visualizations, interactive visualization for thinking about priors, multiple views, and Bayesian statistics.
MU Collective is directed by Jessica Hullman (Northwestern University) and Matt Kay (University of Michigan)"
Hullman is also usefully active on twitter [1]. There's lots going on in this area.
The posted article links through to "Understanding Uncertainty", [2], which has a mission of improving the public's understanding of uncertainty but appears to be a lapsed project. One member of the project team is David Spiegelhalter, who is still writing. His book "The Art of Statistics" is an excellent book on the craft of inference.
[0] https://mucollective.northwestern.edu/
[1] https://twitter.com/JessicaHullman
[2] https://understandinguncertainty.org/
mellingonSep 15, 2019
By the author of the article:
Hello World: Being Human in the Age of Algorithms - Hannah Fry
https://www.amazon.com/Hello-World-Being-Human-Algorithms/dp...
Do Dice Play God?: The Mathematics of Uncertainty - Ian Stewart
https://www.amazon.com/Dice-Play-God-Mathematics-Uncertainty...
The Art of Statistics: How to Learn from Data - David Spiegelhalter
https://www.amazon.com/Art-Statistics-How-Learn-Data/dp/1541...