As many know, because of “big data,” the replication ‘crisis’ in psychology, concerns over p-values, frequentist vs. Bayesian debates, etc. etc. the field of statistics/probability has acquired a significance of late that it didn’t carry in earlier times. It takes a lot of background to fully understand and appreciate the arguments/nuances made in some of these discussions, but I (without that background) still find it interesting and important to follow.
Here are some of the statisticians I follow on Twitter, that you might find worth checking out, to keep up with the controversies (but there are a jillion more statisticians, often focusing on specific areas, on Twitter):
Here are some of the statisticians I follow on Twitter, that you might find worth checking out, to keep up with the controversies (but there are a jillion more statisticians, often focusing on specific areas, on Twitter):
This list gives a somewhat wide range of opinions across varying topics, though pretty heavily leaning Bayesian. And what is interesting is not just their tweets but the comment threads that often follow.
There are also of course many statistics websites/blogs/videos suitable for varying stats knowledge levels, and even some podcasts devoted to statistics, or in some instances more specifically to "big data."
In short, for anyone trying to better understand this newly-vital corner of mathematics in today’s world, there’s no shortage of assistance from the internet.
If you have other favorite stats people you find especially helpful in explaining the issues arising these days (especially to lay readers) feel free to mention in comments.
To whet your appetite, here's a somewhat lengthy sample (fairly technical) from a podcast some weeks ago with Bayesian Dr. Frank Harrell (starting at the 26:50 point, and focusing somewhat, but not entirely on clinical studies):
https://soundcloud.com/plenarysession/206-heart-failure-choosing-a-specialty-the-bayesian-approach-with-dr-frank-harrell#t=26:50
To whet your appetite, here's a somewhat lengthy sample (fairly technical) from a podcast some weeks ago with Bayesian Dr. Frank Harrell (starting at the 26:50 point, and focusing somewhat, but not entirely on clinical studies):
https://soundcloud.com/plenarysession/206-heart-failure-choosing-a-specialty-the-bayesian-approach-with-dr-frank-harrell#t=26:50
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Addendum: just yesterday Deborah Mayo posted a short entry, with several links, at her blog indicating the "turmoil" statistics finds itself in these days (I imagine the comments section may grow over time):
https://errorstatistics.com/2019/09/25/hardwicke-and-ioannidis-gelman-and-mayo-p-values-petitions-practice-and-perils-and-a-question-for-readers/
Addendum: just yesterday Deborah Mayo posted a short entry, with several links, at her blog indicating the "turmoil" statistics finds itself in these days (I imagine the comments section may grow over time):
https://errorstatistics.com/2019/09/25/hardwicke-and-ioannidis-gelman-and-mayo-p-values-petitions-practice-and-perils-and-a-question-for-readers/
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