Ben Recht • 1/8/2026

Hermeneutics of crapshoots

Read Original

The article critiques the foundations of statistical inference, using Ronald Fisher's tea-tasting experiment as a case study. It argues that an over-reliance on p-values, combinatorics, and null hypothesis testing fails to prove causality or account for individual context, especially in human-facing sciences. The author advocates for moving beyond purely statistical evidence to understand actual mechanisms and stories behind the data.

0 comments
#Statistical Inference #P Value #Experimental Design
Hermeneutics of crapshoots

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes