Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-07T03:07:32.387Z Has data issue: false hasContentIssue false

Learning to Predict Proliferation

Published online by Cambridge University Press:  12 July 2021

Abstract

How effective are states at assessing and predicting the nuclear intentions of foreign countries? Drawing on close to 200 US assessments of foreign countries’ proliferation intentions between 1957 and 1966, this research note finds that close to 80 percent of testable US assessments were correct and that they shifted from highly inaccurate in the late 1950s to highly accurate in the 1960s. Based on quantitative and qualitative analysis, I conclude that learning from early failures led the intelligence community to achieve higher accuracy.

Information

Type
Research Note
Copyright
Copyright © The IO Foundation 2021
Figure 0

Table 1. Discrimination of intelligence assessments

Figure 1

Figure 1. Performance by year

Figure 2

Figure 2. Error type, by year

Figure 3

Table 2. Brier scores over time

Figure 4

Figure 3. Performance by year, intel targets

Figure 5

Figure 4. Performance by year, non-targets

Figure 6

Figure 5. Accuracy of first assessments

Supplementary material: Link

Miller et al. Dataset

Link
Supplementary material: PDF

Miller et al. supplementary material

Online appendix

Download Miller et al. supplementary material(PDF)
PDF 817.5 KB