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This content will become publicly available on March 1, 2026

Title: A Bureaucratic Theory of Statistics
Abstract: This commentary proposes a framework for understanding the role of statistics in policy-making, regulation, and bureaucratic systems. I introduce the concept of “ex ante policy,” describing statistical rules and procedures designed before data collection to govern future actions. Through examining examples, particularly clinical trials, I explore how ex ante policy serves as a calculus of bureaucracy, providing numerical foundations for governance through clear, transparent rules. The ex ante frame obviates heated debates about inferential interpretations of probability and statistical tests, p-values, and rituals. I conclude by calling for a deeper appreciation of statistics’ bureaucratic function and suggesting new directions for research in policy-oriented statistical methodology.  more » « less
Award ID(s):
2326498
PAR ID:
10643290
Author(s) / Creator(s):
Publisher / Repository:
Observational Studies
Date Published:
Journal Name:
Observational Studies
Volume:
11
Issue:
1
ISSN:
2767-3324
Page Range / eLocation ID:
77 to 84
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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