An old, but still handy, statistical primer I just ran across, courtesy of Gelman:
https://statmodeling.stat.columbia.edu/2009/05/24/handy_statistic/
An old, but still handy, statistical primer I just ran across, courtesy of Gelman:
https://statmodeling.stat.columbia.edu/2009/05/24/handy_statistic/
Kaiser Fung overviewing Andrew Gelman on the problems of pre-election polls:
Hmmm.... am thinking that maybe members of the Hoover Institution truly qualify as being institutionalized:
Deborah Mayo on the continuing controversy over P-values and significance testing:
What models and data analysis can miss:
https://mindmatters.ai/2021/12/the-cult-of-statistical-significance-and-the-neglect-of-oomph/
A LOT of scientific papers later appear to be wrong. John Cook attempts to explain the likely reasons; longer than his typical posts, but still succinct:
https://www.johndcook.com/blog/2021/12/11/fraud-sloppiness-and-statistics/
Jordan Ellenberg points to this posting for those confused by recent covid statistics/claims:
...and Ellenberg himself is in Washington Post today on same topic:
An example of Journal 'expression of concern' vs. retraction, via Retraction Watch:
https://retractionwatch.com/2021/08/23/readers-puzzle-over-marketing-journals-failures-to-retract/
A little introduction to the history and basics of significance testing in "squishy" psychology:
https://www.sciencenews.org/article/statistical-significance-p-value-null-hypothesis-origins
How long (if ever) before education tackles the math innumeracy of the populace... and what will be the eventual consequences of not doing so (latest from Keith Devlin)?
https://www.mathvalues.org/masterblog/when-the-media-get-the-math-wrong-badly-wrong
The ongoing problems of 'real-world' stats and Covid math:
https://junkcharts.typepad.com/numbersruleyourworld/2021/07/funny-math-out-of-la.html