vault backup: 2026-03-23 17:15:27
This commit is contained in:
@@ -31,7 +31,7 @@ Related topic: [[heuristics#Realism vs. Instrumentalism]]
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Naming by use case is intuitive for those without estimating or field experience,
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Naming by use case is intuitive for those without estimating or field experience,
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but has the side effect that those accustomed to the names
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but has the side effect that those accustomed to the names
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will inevitably _treat them as descriptive_,
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will inevitably _treat them as descriptive_,
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leading to [[ambiguity#Category Mistake|category mistake]].
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leading to [[category-mistake]].
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| Use Case | Description |
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| Use Case | Description |
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| ------------------- | ------------- |
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| ------------------- | ------------- |
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@@ -57,38 +57,3 @@ Assuming a whole has a property because its parts have that property
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[Division](https://en.wikipedia.org/wiki/Fallacy_of_division "Fallacy of division")
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[Division](https://en.wikipedia.org/wiki/Fallacy_of_division "Fallacy of division")
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Assuming parts have a property because the whole has that property
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Assuming parts have a property because the whole has that property
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### Category Mistake
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> [!quote] [Category mistake](https://en.wikipedia.org/wiki/Category_mistake)
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> An example is a person learning that the game of cricket involves team spirit,
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> and after being given a demonstration of each player's role,
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> asking which player performs the "team spirit".
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All squares are rectangles, but not all rectangles are squares.
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#### Overgeneralization via Hyperspecification
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Or "inappropriate synecdoche[^1]"
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[^1]: **synecdoche:** Using the name of a part to refer to the whole, or vice versa.
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Much of my issue with terminology
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can be blamed on **overgeneralization via hyperspecification**,
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[Proprietary eponyms](https://en.wiktionary.org/wiki/proprietary_eponym)
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(synonym: [genericized trademark](https://en.wiktionary.org/wiki/genericized_trademark))
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are usually[^2] an example of such,
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and are prominent in electrical construction.[^3]
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[^2]: I'm not a complete pedant, Cadweld is a perfectly unambiguous substitution.
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"Caddy", "Hilti", and "Vitalink" are my real complaints,
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where the word only gets me marginally closer
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to creating a concrete image in my head.
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The general acceptance of "band-aid"
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compared to the rejection of "coke"
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may be related.
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[^3]: See [Database of American Proprietary Eponyms](https://www.searstower.org/rkrause/brands.html)
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for examples.
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@@ -0,0 +1,34 @@
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### Category Mistake
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> [!quote] [Category mistake](https://en.wikipedia.org/wiki/Category_mistake)
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> An example is a person learning that the game of cricket involves team spirit,
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> and after being given a demonstration of each player's role,
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> asking which player performs the "team spirit".
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All squares are rectangles, but not all rectangles are squares.
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#### Overgeneralization via Hyperspecification
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Or "inappropriate synecdoche[^1]"
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[^1]: **synecdoche:** Using the name of a part to refer to the whole, or vice versa.
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Much of my issue with terminology
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can be blamed on **overgeneralization via hyperspecification**,
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[Proprietary eponyms](https://en.wiktionary.org/wiki/proprietary_eponym)
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(synonym: [genericized trademark](https://en.wiktionary.org/wiki/genericized_trademark))
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are usually[^2] an example of such,
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and are prominent in electrical construction.[^3]
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[^2]: I'm not a complete pedant, Cadweld is a perfectly unambiguous substitution.
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"Caddy", "Hilti", and "Vitalink" are my real complaints,
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where the word only gets me marginally closer
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to creating a concrete image in my head.
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The general acceptance of "band-aid"
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compared to the rejection of "coke"
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may be related.
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[^3]: See [Database of American Proprietary Eponyms](https://www.searstower.org/rkrause/brands.html)
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for examples.
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+1
-1
@@ -81,7 +81,7 @@ Inexcusable, though, is conflating semitone increments with intervals.
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Wikipedia music theory articles frequently link "half step" and "whole step"
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Wikipedia music theory articles frequently link "half step" and "whole step"
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to [minor second](https://en.wikipedia.org/wiki/Minor_second)
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to [minor second](https://en.wikipedia.org/wiki/Minor_second)
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and [major second](https://en.wikipedia.org/wiki/Major_second) respectively,
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and [major second](https://en.wikipedia.org/wiki/Major_second) respectively,
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which is a [[ambiguity#Category Mistake|category mistake]].
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which is a [[category-mistake]].
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#### Accidentals
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#### Accidentals
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---
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id:
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aliases: []
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title: Sensitivity
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tags:
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- authorship/original
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- destiny/permanent
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- status/not-started
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- topic/estimating
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- topic/strategy
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---
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# Sensitivity
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In estimating, **sensitivity** describes the influence of a particular input on the output.
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@@ -28,7 +28,7 @@ and something very specific.[^3]
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especially to someone unfamiliar with the specifics of either.
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especially to someone unfamiliar with the specifics of either.
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For lack of a better term I've been thinking of this as an SEO problem,
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For lack of a better term I've been thinking of this as an SEO problem,
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but the bigger problem is that it invites [[ambiguity#Category Mistake|Category Mistake]],
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but the bigger problem is that it invites [[category-mistake]],
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whereby the ignorant listener associates traits unique to the example
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whereby the ignorant listener associates traits unique to the example
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to all things that the name could describe.
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to all things that the name could describe.
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@@ -30,6 +30,6 @@ That is, quantifying the influence of an input on the output.
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When an estimator says that some factor is not worth consideration ("it's pennies")
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When an estimator says that some factor is not worth consideration ("it's pennies")
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it is usually meant that the estimate is not especially **sensitive** to that factor.
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it is usually meant that the estimate is not especially **sensitive** to that factor.
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Sensitivity, I think, is a much quicker concept to grasp
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[[sensitivity|Sensitivity]], I think, is a much quicker concept to grasp
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than [[uncertainty#Value of Information|the value of information]],
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than [[value-of-information|the value of information]],
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even if VOI can explain the same motivations and more completely.
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even if VOI can explain the same motivations and more completely.
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@@ -0,0 +1,57 @@
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---
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id: 2026-03-23T12:48:49-04:00
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aliases: []
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title: 2026-03-23 12:48:49
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tags:
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- authorship/original
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- destiny/permanent
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- status/draft
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- type/periodic/timestamped
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- occupational
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dg-publish: true
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date-created: 2026-03-23T12:48:49-04:00
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daily: "[[2026-03-23]]"
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weekly: "[[2026-W13]]"
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monthly: "[[2026-03]]"
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quarterly: "[[2026-Q1]]"
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yearly: "[[2026]]"
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---
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# 2026-03-23 12:48:49
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Joel asked me to give feedback on the project engineer
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I've had shadowing and helping me on [[charlotte-south-end-hotel]].
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They've been exceptionally engaged,
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with an impressive ability to follow along with procedures
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that are based in electrical and general construction considerations
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that they weren't already familiar with.
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I told Joel the same.
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I added that I appreciated that their engagement extends
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to my explanations of my thought processes during takeoff,
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which can be quite abstract.
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I found the PE's receptivity
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a pleasant surprise.
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In my experience training estimating,
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both at Ace and PDI,
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I have to be _very_ careful with my words
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to prevent unintended interpretation.
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More than once I have said casually
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that some low-[[sensitivity]] consideration "doesn't matter",
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finding later that the student has over-generalized the direction
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and is not properly discriminating
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between significantly different cases.
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Other times,
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the student continues to discriminate between nearly identical cases
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even despite repeated instruction
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that consideration of the differences is not worth their effort.
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I think both behaviors indicate an inability for abstract thinking.
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The first case seems like over-abstraction,
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but in practice it is usually rooted in the principle of least effort.
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That is, the student assumes
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that considerations that would be _unpleasant_ to account for
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are the same as those that are not worth accounting for,
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which is a [[category-mistake]].
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+1
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In statistical inference and [[strategy]],
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In statistical inference and [[strategy]],
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**information** is the resolution of uncertainty.
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**information** is the resolution of uncertainty.
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### Value of Information
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[[value-of-information]]
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> [!quote]
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> **Value of information** (VOI or VoI)
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> is the amount a decision maker would be willing to pay
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> for information prior to making a decision.
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Suppose information $I$ is available to a decision maker.
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Consider these two scenarios:
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1. the decision maker does not purchase the information
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and makes \$9,000. $P(D)=9000$
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2. the decision maker purchases the information
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and makes \$10,000 $P(D)|I=10000$
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The monetary value of $I$ is the difference between the payout
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without ($P(D)$) and with ($P(D)|I$) the information $I$.
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$$
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\begin{align*}
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V(I) &= P(D)|I - P(D) \\
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&= (10000) - (9000) \\
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&= 1000
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\end{align*}
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$$
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When forecasting, the payout of decisions is unknown,
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thus
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$$
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\mathbb{E}\left[V(I)\right] = \mathbb{E}\left[P(D)\right] - \mathbb{E}\left[P(D)|I\right]
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$$
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### Expected Value of Perfect Information
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Expected value of perfect information (EVPI)
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is the price that one would be willing to pay
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in order to gain access to perfect information.
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> [!info] Perfect Information
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> Perfect information is hypothetical information
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> that would eliminate all uncertainty.
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The perceived _value_ of decreased uncertainty
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must be weighed against its _cost_.
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## Types of Uncertainty
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## Types of Uncertainty
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---
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id:
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title: Value of Information
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tags:
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- authorship/original
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- destiny/permanent
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- status/incomplete
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- topic/strategy
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- type/encyclopedia-entry
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---
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# Value of Information
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In [[decision-theory]],
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the **value of information** (VOI or VoI)
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is a framework for quantifying the impact
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of some reduction in [[uncertainty]].
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It is the amount a rational party would be willing to pay
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to gain access to information prior to making a decision.
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## Example
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Suppose information $I$ is available to a decision maker.
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Consider these two scenarios:
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1. the decision maker does not purchase the information
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and makes \$9,000. $P(D)=9000$
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2. the decision maker purchases the information
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and makes \$10,000 $P(D)|I=10000$
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The monetary value of $I$ is the difference between the payout
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without ($P(D)$) and with ($P(D)|I$) the information $I$.
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$$
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\begin{align*}
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V(I) &= P(D)|I - P(D) \\
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&= (10000) - (9000) \\
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&= 1000
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\end{align*}
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$$
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When forecasting, the payout of decisions is unknown,
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thus
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$$
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\mathbb{E}\left[V(I)\right] = \mathbb{E}\left[P(D)\right] - \mathbb{E}\left[P(D)|I\right]
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$$
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### Expected Value of Perfect Information
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Expected value of perfect information (EVPI)
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is the price that one would be willing to pay
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in order to gain access to perfect information.
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> [!info] Perfect Information
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> Perfect information is hypothetical information
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> that would eliminate all uncertainty.
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The perceived _value_ of decreased uncertainty
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must be weighed against its _cost_.
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## See Also
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* [[sensitivity]]
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---
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id:
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aliases: []
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title: XY Problem
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tags:
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- authorship/other-for-now
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- destiny/permanent
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- status/not-started
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- topic/transparency
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- type/encyclopedia-entry
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---
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# XY Problem
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> [!quote] [Wikipedia](https://en.wikipedia.org/wiki/XY_problem)
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> The XY problem is a communication problem ...
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> where the question is about an end user's attempted solution (X)
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> rather than the root problem itself (Y).
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> [!quote] [How To Ask Questions The Smart Way_ "Questions Not To Ask"](http://www.catb.org/~esr/faqs/smart-questions.html#classic)
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> **Q:** How can I use X to do Y?
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>
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> **A:** If what you want is to do Y,
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> you should ask that question without pre-supposing the use of a method
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> that may not be appropriate.
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> Questions of this form often indicate a person who is not merely ignorant about X,
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> but confused about what problem Y they are solving
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> and too fixated on the details of their particular situation.
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> [!quote] [_How To Ask Questions The Smart Way_ "Describe the goal, not the step"](http://www.catb.org/~esr/faqs/smart-questions.html#goal)
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> If you are trying to find out how to do something
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> (as opposed to reporting a bug),
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> begin by describing the goal.
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> Only then describe the particular step towards it
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> that you are blocked on.
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>
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> Often, people who need technical help
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> have a high-level goal in mind
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> and get stuck on what they think is one particular path towards the goal.
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> They come for help with the step,
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> but don't realize that the path is wrong.
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> It can take substantial effort to get past this.
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>
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> **Stupid:** How do I get the color-picker on the FooDraw program
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> to take a hexadecimal RGB value?
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>
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> **Smart:** I'm trying to replace the color table on an image with values of my choosing.
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> Right now the only way I can see to do this is by editing each table slot,
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> but I can't get FooDraw's color picker to take a hexadecimal RGB value.
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>
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> The second version of the question is smart.
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> It allows an answer that suggests a tool better suited to the task.
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Reference in New Issue
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