> From another point of view, do you not think a prairie dog has ever asked another prairie dog, "how many foxes are out there now?" with the other looking and replying "None! All clear!"? type PrairieDogFoxCount = NoFoxesAllClear | SomeFoxes 1..5 | TooManyFoxes
type CrowCount = Some 1..5 | UpsideDown 5..1
type HumanProgrammerCount = 0..MAXINT
type HumanMathematicianCount = 0..∞
My point is: "No Foxes - All Clear" is not the same thing (the same level of abstraction) as 0.> From a third point of view, humans are natural, so everything we do appears in nature. using this definition everything is Natural, including fore example Complex numbers, which is obviously incorrect, and thus invalidates yr argument > From a fourth point of view, all models are wrong, but some models are useful. Is it more useful to put zero in the natural numbers or not? That is: if we exclude zero from the natural numbers, do we just force 90% of occurrences of the term to be "non-negative integers" instead? all models are wrong, but some are really wrong If all u care is the length of the terms, i.e. "Natural" vs "non-negative integers", then what's wrong with 1-letter set names, like N, W, Z ? I think the usefulness of including 0 into the set of natural numbers is that it closes the holes in various math theories like [1,2] 1. https://en.wikipedia.org/wiki/Peano_axioms 2. https://en.wikipedia.org/wiki/Set-theoretic_definition_of_na... |
No, that's not "obviously incorrect", nor does it invalidate my argument: that is my exact argument. Complex numbers appear in electromagnetism, in exactly the same sense of "appear", as whole numbers appear in herds of sheep. Which is to say, it's the simplest and most useful model of the situation. And what's more natural than one of the four fundamental forces of nature? And the weak & strong nuclear forces have even more esoteric math structures appearing in their most parsimonious models as well.
> "No Foxes - All Clear" is not the same thing (the same level of abstraction) as 0.
In your model. In my model, it is the same thing. All models are wrong; some models are useful. Which one is more useful? Almost always, the one with 0 as a natural number. What about this:
I can make any model as complex as I want; that does not prove some other model wrong.