vault backup: 2026-03-20 16:29:51

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+---
+id: 2026-03-20T13:27:12-04:00
+aliases: []
+title: 2026-03-20 13:27:12
+tags:
+  - authorship/original
+  - destiny/permanent
+  - status/draft
+  - type/periodic/timestamped
+  - topic/risk
+dg-publish: true
+date-created: 2026-03-20T13:27:12-04:00
+daily: "[[2026-03-20]]"
+weekly: "[[2026-W12]]"
+monthly: "[[2026-03]]"
+quarterly: "[[2026-Q1]]"
+yearly: "[[2026]]"
+---
+# 2026-03-20 13:27:12
+
+## Sensitivity Analysis
+
+> [!quote] [Wikipedia](https://en.wikipedia.org/wiki/Sensitivity_analysis)
+> **Sensitivity analysis** is the study of how the uncertainty
+> in the output of a mathematical model or system (numerical or otherwise)
+> can be divided and allocated to different sources of uncertainty in its inputs.
+
+That is, quantifying the influence of an input on the output.
+
+When an estimator says that some factor is not worth consideration ("it's pennies")
+it is usually meant that the estimate is not especially **sensitive** to that factor.
+
+Sensitivity, I think, is a much quicker concept to grasp
+than [[uncertainty#Value of Information|the value of information]],
+even if VOI can explain the same motivations and more completely.