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