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---
id: the-failure-of-risk-management
aliases: []
tags: []
---
# *The Failure of Risk Management*
The Failure of Risk Management
(Why It's Broken and How to Fix It)
by Douglas W. Hubbard
## Key Takeaways
### Qualitative Metrics Must Be Avoided
Qualitative risk analysis
(i.e. risk matrices, scoring charts)
departs from legitimate statistical methodology
and has no robust evidence to suggest its efficacy.
There is good reason to believe that such methods
are deleterious to their intended purpose
in contradiction to the common response
that they are "better than nothing".
### Utility as a Measure of Value
Expected Value (Probability × Magnitude)
alone can not predict or inform risky decisions,
except for risk-neutral parties.
People and organizations are risk-averse
...
* [ ] Finish this paragraph. (see chapter 6) 2025-07-04
### Expert Opinion Must Be ~~Adjusted~~
Expert opinion is valuable despite its flaws.
...
The book details the statistically observable tendency for people
to underestimate risk and to be overconfident in their beliefs.
It describes the process of "calibration"
by which people can be trained to compensate for this bias
and make predictions far more accurately.
Experts tend to be good at creating heuristics,
but do not apply them consistently in practice.
> [!example]
> Chapter 7 describes a study where experts
> were shown to estimate risk differently for identical cases.
## Mentioned Topics and Abbreviations
* Analytic Hierarchy Process (AHP)
* Multi-Attribute Utility Theory (MAUT)
* Actuarial Science
* Options Theory (OT)
* Modern Portfolio Theory (MPT)
* Probabalistic Risk Analysis (PRA)
* Value at Risk (VaR)
* Loss-Exceedance Curve (LEC)
* Risk Tolerance