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Quantifier variance

Quantifier variance is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Quantifier variance rather than just read about it. In short: The term quantifier variance refers to claims that there is no uniquely best ontological language with which to describe the world. The term "quantifier variance" rests upon the philosophical term 'quantifier', more precisely existential quantifier.

Key takeaways

  • Quantifier variance belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Quantifier variance to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Quantifier variance from memory before moving on to harder problems.

Reference excerpt

The term quantifier variance refers to claims that there is no uniquely best ontological language with which to describe the world. The term "quantifier variance" rests upon the philosophical term 'quantifier', more precisely existential quantifier. A 'quantifier' is an expression like "there exists at least one 'such-and-such'". Quantifier variance then is the thesis that the meaning of quantifiers is ambiguous. This thesis can be used to explain how some disputes in ontology are only due to a failure of the disagreeing parties to agree on the meaning of the quantifiers used. According to Eli Hirsch, it is an outgrowth of Urmson's dictum:

If two sentences are equivalent to each other, then while the use of one rather than the other may be useful for some philosophical purposes, it is not the case that one will be nearer to reality than the other...We can say a thing this way, and we can say it that way, sometimes...But it is no use asking which is the logically or metaphysically right way to say it.

Quantifiers

The word quantifier in the introduction refers to a variable used in a domain of discourse, a collection of objects under discussion. In daily life, the domain of discourse could be 'apples', or 'persons', or even everything. In a more technical arena, the domain of discourse could be 'integers', say. The quantifier variable x, say, in the given domain of discourse can take on the 'value' or designate any object in the domain. The presence of a particular object, say a 'unicorn' is expressed in the manner of symbolic logic as:

∃ x; x is a unicorn. Here the 'turned E ' or ∃ is read as "there exists..." and is called the symbol for existential quantification. Relations between objects also can be expressed using quantifiers. For example, in the domain of integers (denoting the quantifier by n, a customary choice for an integer) we can indirectly identify '5' by its relation with the number '25':

∃ n; n × n = 25. If we want to point out specifically that the domain of integers is meant, we could write:

∃ n ∈ Z {\displaystyle \mathbb {Z} } ; n × n = 25. Here, ∈ = is a member of... and ∈ is called the symbol for set membership; and Z {\displaystyle \mathbb {Z} } denotes the set of integers. There are a variety of expressions that serve the same purpose in various ontologies, and they are accordingly all quantifier expressions. Quantifier variance is then one argument concerning exactly what expressions can be construed as quantifiers, and just which arguments of a quantifier, that is, which substitutions for "such-and-such", are permissible.

Usage, not 'existence'? Hirsch says the notion of quantifier variance is a concept concerning how languages work, and is not connected to the ontological question of what 'really' exists. That view is not universal. The thesis underlying quantifier variance was stated by Putnam:

The logical primitives themselves, and in particular the notions of object and existence, have a multitude of different uses rather than one absolute 'meaning'. Citing this quotation from Putnam, Wasserman states: "This thesis – the thesis that there are many meanings for the existential quantifier that are equally neutral and equally adequate for describing all the facts – is often referred to as 'the doctrine of quantifier variance'". Hirsch's quantifier variance has been connected to Carnap's idea of a linguistic framework as a 'neo'-Carnapian view, namely, "the view that there are a number of equally good meanings of the logical quantifiers; choosing one of these frameworks is to be understood analogously to choosing a Carnapian framework." Of course, not all philosophers (notably Quine and the 'neo'-Quineans) subscribe to the notion of multiple linguistic frameworks. See meta-ontology. Hirsch himself suggests some care in connecting his version of quantifier variance with Carnap: "Let's not call any philosophers quantifier variantists unless they are clearly committed to the idea that (most of) the things that exist are completely independent of language." In this connection Hirsch says "I have a problem, however, in calling Carnap a quantifier variantist, insofar as he is often viewed as a verificationist anti-realist." Although Thomasson does not think Carnap is properly considered to be an antirealist, she still disassociates Carnap from Hirsch's version of quantifier variance: "I'll argue, however, that Carnap in fact is not committed to quantifier variance in anything like Hirsch's sense, and that he [Carnap] does not rely on it in his ways of deflating metaphysical debates."

See also Ordinary language philosophy Metaphilosophy Mereology Internal–external distinction Absolute generality

References

Worked examples

Example 1 — a first encounter with Quantifier variance

Start with the simplest possible case. Write down what Quantifier variance claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Quantifier variance before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Quantifier variance ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Quantifier variance

In research
Quantifier variance appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Quantifier variance in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Quantifier variance is common in secondary-school and first-year university syllabi. It links to neighbouring topics Concepts in metaphysics, Concepts in the philosophy of language, Ontology, so understanding it makes those chapters shorter.
In everyday life
Look for Quantifier variance outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Quantifier variance in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Quantifier variance means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Quantifier variance out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Quantifier variance in simple terms?

The term quantifier variance refers to claims that there is no uniquely best ontological language with which to describe the world. The term "quantifier variance" rests upon the philosophical term 'quantifier', more precisely existential quantifier.

Why does Quantifier variance matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Quantifier variance?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Quantifier variance.

Tags

  • Concepts in metaphysics
  • Concepts in the philosophy of language
  • Ontology
  • Quantifier (logic)

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