vault backup: 2026-03-06 15:34:44
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@@ -23,13 +23,27 @@ one can closely approximate small dimensions,
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even without the proper tools.
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It is tempting to believe that heuristics are not ideal,
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that the most accurate method ought to be preferred.
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%%
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even using a ruler is a heuristic,
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that the most accurate method ought to be preferred,
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but the most accurate method is rarely practical.
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Afterall, even using a ruler is a heuristic,
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subject to the tool's tolerance
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and reliant on its proper use.
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%%
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The suitability of a model
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is dependent on the purpose of the measurement.
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To determine the width of dimensional lumber,
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for example, to determine if a board is a 2x4 or a 2x6,
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the rule of thumb is perfectly suitable,
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and a micrometer would be silly.
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> [!quote] George E. P. Box, British statistician
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> All models are wrong, but some are useful.[^1]
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[^1]: > [!quote] [[box-et-al_1987_empirical-model-building#The Use of Approximating Functions]]
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> The fact that the polynomial is an approximation
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> does not necessarily detract from its usefulness
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> because all models are approximations.
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> Essentially, all models are wrong, but some are useful.
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## Realism vs. Instrumentalism
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@@ -47,12 +61,3 @@ is to _forecast as accurately as possible_.
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Realism is noble, granted,
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but instrumentalism is far more practical.
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> [!quote] George E. P. Box, British statistician
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> All models are wrong, but some are useful.[^1]
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[^1]: > [!quote] [[box_1987_empirical-model-building#The Use of Approximating Functions]]
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> The fact that the polynomial is an approximation
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> does not necessarily detract from its usefulness
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> because all models are approximations.
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> Essentially, all models are wrong, but some are useful.
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