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Comment on “Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw Your Kidstogram,” by Xiao-Li Meng✩
Volume 1, Issue 1 (2023), pp. 26–28
Thomas R. Junk ORCID icon link to view author Thomas R. Junk details  

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https://doi.org/10.51387/22-NEJSDS6B
Pub. online: 19 October 2022      Type: Commentary And/or Historical Perspective      Open accessOpen Access
Area: Statistical Methodology

✩ Main article: https://doi.org/10.51387/22-NEJSDS6.

Accepted
7 September 2022
Published
19 October 2022

Abstract

This contribution is a series of comments on Prof. Xiao-Li Meng’s article, “Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw Your Kidstogram”. Prof. Meng’s article offers some radical proposals and not-so-radical proposals to improve the quality of statistical inference used in the sciences and also to extend distributional thinking to early education. Discussions and alternative proposals are presented.

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© 2023 New England Statistical Society
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Keywords
Radical Proposal Comment

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