5. Predicate Logic and Black Cops


 

 

1       Fallacy proof by example concerning institutional racism

Firstly, just because an institution, regime, whatever has officers, who are of the ethnicity that they a suppressing, genociding, murdering, etc., doesn’t mean that that regime is not racist. This is not to say that because some police officers are racist all police officers are racist. A claim like that would be an inappropriate use of generalization. This is the fallacy proof by example. This occurs when the validity of a statement is illustrated through one or more examples or cases as opposed to a full-fledged proof.

 

I know that K is such.

Therefore, anything related to K is also such.

I know that T, which is a member of group K, has the property H.

Therefore, all other elements of K must have the property H.

 

 

2       Summary of Predicate Logic

To better understand the claim that all police are racist because a few are racist (a claim that no one is probably making) we must journey into predicate logic[i]. Predicate logic, like some that fascist monster Salvador Dali, has many names including First-order logic, quantificational logic. First-order predicate calculus uses quantified variables over non-logical objects, and allows the use of sentences that contain variables. Instead of propositions like as

 

"Brianna is a woman",

We can now have expressions in the form

"there exists x such that x is Brianna and x is a woman",

where "there exists" is a quantifier,

while x is a variable.

(Brianna is the subject and woman is the predicate)

 

Propositional logic does not use quantifiers or relations in the same way. But propositional logic is the foundation of first-order logic, or Predicate logic. Predicate logic[1] integrates the most powerful features of categorical and propositional logics, thereby allowing for a more extended scope of argument analysis than either of the two can achieve individually.

Predicate logic contains all the components of propositional logic, including propositional variables and constants. In addition, predicate logic contains terms, predicates, and quantifiers. Terms are typically used in place of nouns and pronouns. They are combined into sentences by means of predicates. For example, in the sentence " T'Challa loves Kiki",

 

the nouns are " T'Challa " and "Kiki",

and the predicate is "loves".

 

The same is true if this sentence is translated into predicate logic, except that " T'Challa " and "Kiki" are now called terms. Predicate logic uses quantifiers to indicate if a statement is always true, if it is sometimes true, or it is never true. In this sense, the quantifiers are used to correspond words such as "all", "some", "never", and related expressions. There are two types of statements in predicate logic: singular and quantified. These include; A singular statement is about a specific person, place, time, or object. A quantified statement is about classes of things. Such statements are either universal or particular. There are two elements in a singular statement: predicate and individual constant. The predicate of a singular statement is the fundamental unit, and is translated with a capital letter, A-Z. The subject of a singular statement is called an individual constant, and is translated with a lowercase letter, a-w: Individual variables, the lowercase letters, x, y, and z, are enlisted as placeholders in quantified statements. That’s because quantified statements do not specify things, only classes of things. Things are included in, or excluded from, classes:

 

All dogs are mammals.

No dogs are cats.

Some dogs are beagles.

Some cats are not friendly animals.

 

Notice that quantifiers and classes are features of predicate logic borrowed from categorical logic. What is borrowed from propositional logic are the logical operators, ~, •, v, , ≡:

 

Ordinary Language Statement Function

All dogs are mammals. Dx  Mx

No dogs are cats. Dx  ~Cx

Some dogs are beagles. Dx • Bx

Some cats are not friendly animals. Cx • ~Fx

 

The statement functions, above, are expressions that do not make any universal or particular assertion about anything; therefore, they have no truth value. Their variables are free, which means we don’t know how many things we’re talking about. “All” and “no” are universal quantifiers. They are translated as follows: (x). “Some” is a particular quantifier, and is translated as follows: ($x).

 

Ordinary Language Predicate Logic Translation

All dogs are mammals. (x)(Dx  Mx)

No dogs are cats. (x)(Dx  ~Cx)

Some dogs are beagles. ($x)(Dx • Bx)

Some cats are not friendly animals. ($x)(Cx • ~Fx)

 

Notice that the appearance of the quantifiers includes parentheses around what are otherwise statement functions. These parentheses tell us the domain of discourse, which is the set of individuals over which a quantifier ranges. The variables in the statement function are bound by the quantifier:

 

“For any x, if x is a dog, then x is a mammal.”

“For any x, if x is a dog, then is not a cat.”

“There is at least one x that is a dog and a beagle.”

“There is at least one x that is a cat and not a friendly animal.”

 

 

There are four quantifier rules of inference that allow you to remove or introduce a quantifier: including Universal Instantiation (UI), Universal Generalization (UG), Existential Generalization (EG) and Existential Instantiation (EI).

In Universal Instantiation (UI) we consider what a universally quantified statement asserts. It asserts that the entirety of the subject class is contained within the predicate class. Therefore, any instance of a member in the subject class is also a member of the predicate class.

 

All dogs are mammals.

Joe is a dog.

Therefore, Joe is a mammal.

 

In Universal Generalization (UG) we move from a universally quantified statement to a singular statement. Although it may seem like we can go in the other direction, we can’t. Consider the following statement: “Sam the horse is a Clydesdale.” We cannot infer from this statement that all horse are Clydesdales. When we want to make an inference to a universal statement, we cannot do so from an individual constant. The generalization must be made from a statement function (expressions that do not make any universal or particular assertion about anything; therefore, they have no truth value), where the variable, by definition, could be any entity in the relevant class of things.

 

The next rule is the Existential Instantiation (EI). Just as we have to be careful about generalizing to universally quantified statements, so also we have to be careful about instantiating an existential statement. When you instantiate an existential statement, you cannot choose a name that is already in use. That’s because we are not justified in assuming that the individual constant is the same from one instantiation to another. So, if you have to instantiate a universal statement and an existential statement, instantiate the existential first. The universal instantiation can then assert the same constant as the existential instantiation, because there are no restrictions on UI.

When this rule is not used correctly we run into a fallacy called the existential fallacy. This occurs when one presupposes that a class has members when one is not supposed to do so. For example:

 

·        All haters will be smacked.

·        Therefore, some of those smacked will have been haters.

 

This is a fallacy because the first statement does not require the existence of any actual haters (stating only what would happen in the event that some do exist), and therefore does not prove the existence of any. Note that this is a fallacy whether or not anyone has hated.

You can infer existential statements from universal statements, and vice versa, without having to instantiate first. In ordinary language, the phrase equivalences are as follows:

 

“All are,” is equivalent to, “It’s not the case that there is one that is not.”

“It is not the case that all are not,” is equivalent to, “Some are.”

“Not all are,” is equivalent to, “Some are not.”

“It is not the case that there is one,” is equivalent to, “None are.”

 

A fallacy that occurs when the quantifiers of a statement are erroneously transposed is the quantifier shift.

 

For every A, there is a B, such that C. Therefore, there is a B, such that for every A, C.

{\displaystyle \forall x\,\exists y\,Rxy\vdash \exists y\,\forall x\,Rxy}

1.    Every person has an organ that is their brain. Therefore, there is an organ that is the brain of every person.

 

xy(Px → (Wy & M(yx))) therefore yx(Px → (Wy & M(yx)))

 

It is fallacious to conclude that there is one organ who is the brain of all people. However, if the major premise ("every person has an organ that is their brain") is assumed to be true, then it is valid to conclude that there is some organ that is any given person's brain.

 

2. Everybody has something to believe in. Therefore, there is something that everybody believes in.

xy Bxy therefore yx Bxy

 

It is fallacious to conclude that there is some particular concept to which everyone subscribes.

 

The last rule we will look at is Existential Generalization. Existential Generalization (EG) like UI, is a fairly straightforward inference. Take the sentence “Sam the horse is a Clydesdale horse.” The sentence specifies an existing Clydesdale horse. So, if Sam is one, it follows that at least one Clydesdale horse exists.

It is from this rule that we come to the fallacy proof by example. Although the flaw is pretty clear arguments like,

 

I've seen police kill black people.

Therefore, police must be killers.

 

can seem convincing. Unfortunately this fallacy has been used to make statistically insignificant examples appeal credible. This is why we must look at these cases on an individual basis.

 

This is why we can’t say every police officer is racist, but can we say the same about the institution? Getting into the individual predicates and claiming some universality is problematic, however claiming that the institution, both historically and currently is racist is plausible. But more so saying that because a there are black police the institution isn’t racist is another fallacy.

 

3       The Fallacy of Necessity, Black Cops and Jewish soldiers in the Wehrmacht

If I were to claim that;

Institutions with minorities necessarily aren’t racist

The institution that is the police has minority officers

That institution cannot be racist.

 

This is also a fallacy of necessity. Because the conclusion presumes the second premise will always be the case. As the history of police shows us that institution, atleast in America and depending on what part of the country, was founded on a public service that had the express purpose of protecting property, in the South mostly meant slave (also across the nation, to be fair).

There is another example coming for Germany. This is my favorite counter to the “Institutions with minorities necessarily aren’t racist” argument.

Saying that institution isn’t racist, because there are black officers, is like saying the Nazis aren’t anti-Semitic because of Jewish soldiers in the Nazi army.



[1] Predicate language consists of the Syntax, the alphabet and rules for formation.

Semantics: Questions connecting models: determining truth values, interpretation. How to translate certain sentences into natural language, and the exact conditions for their truth. Proof theory: The principle of calculus, axioms (the basic truths of the system) and inference rules. Theorems are deduced from axioms by means of inference rules.

 



[i] Definition 1.1.

Alphabet of Predicate Logic consists of connectives (familiar from propositional logic) ¬, , , → and ↔and parentheses (, ) and dot ,. Other symbols

belonging to alphabet are

individual constants: a, b, c, . . .

variables: x, y, z, . . .

predicate symbols P, Q, R, . . .

function symbols f, g, . . .

identity symbol =

quantifiers (Truth for all thing “universal qualifier) and (is the existential quantifier and its means something is true for at least one thing; "There exists an x such that A").

In predicate logic, conditional and indirect proof follow the same structure as in propositional logic:

1.             Assume a statement, P, derive another statement, Q, then discharge the assumptive proof by asserting, P Q.

2.             Assume a statement, ~P, derive a contradiction, then discharge the assumptive proof by asserting, P.

In predicate logic, however, there is one restriction on UG in an assumptive proof: when the assumption is a free variable, UG is not allowed from the line where the free variable occurs. That is because the assumption names an individual assumed to have the property designated by the predicate. It does not, therefore, act as an arbitrary individual from which we may generalize to a universal statement.

When demonstrating invalidity there are two methods one can use in predicate logic: Counterexample Method and Finite Universe Method.

The counterexample method follows the same steps as are used in Chapter 1: replace the premises with another set we know to be true; replace the conclusion with one we know to be false. Each replacement must follow the same form as the original:

All oranges are fruits.

Some vegetables are not fruits.

Some oranges are not vegetables.

(x)(Ox Fx)

($x)(Vx • ~Fx)

($x)(Ox • ~Vx)

All citizens are eligible to vote.

Some people are not eligible to vote.

Some citizens are not people.

The finite universe method enlists indirect truth tables to show, truth-functionally, that a predicate logic argument is invalid:

3.             Suppose a universe that contains only one member.

4.             Instantiate the premises and conclusion to the same constant.

5.             Construct an indirect truth table to determine whether or not the argument is invalid.

6.             If the argument does not prove invalid with a single-member universe, try two members.

Note: if you do not prove the argument is invalid assuming a three-member universe, double-check your work and then consider using the inference rules to construct a proof. It may be that the argument is, in fact, valid.

Predicate logic notation allows us to work with relational predicates (two- or more place predicates), rather than only single-place predicates:

Joe is to the right of Stew: Rjs

Joe and Stew like each other: Ljs • Lsj

Everyone likes someone: (x)(Px ($y)Lxy)

Relational predicates include a number of different types:

Symmetrical relationship:

7.             If A is married to B, then B is married to A.

Asymmetrical relationship:

8.             If A is the father of B, then B is not the father of A.

Nonsymmetrical: When a relationship is neither symmetrical nor asymmetrical. For example: If Kris loves Morgan, then Morgan may or may not love Kris.

Transitive relationship:

9.             If A is taller than B, and B is taller than C, then A is taller than C.

Intransitive relationship:

10.           If A is the mother of B, and B is the mother of C, then A is not the mother of C.

Nontransitive relationship:

11.           If Kris loves Morgan and Morgan loves Terry, then Kris may or may not love Terry.

Proofs involving relational predicates require an additional restriction on UG:

12.           Universal generalization cannot be used if the instantial variable is free in any line that was obtained by existential instantiation (EI).

 

One of the central and most important ideas in logic is identity. Identity is the relation between two named individuals.

 

T'Challa = Black Panther

(p=q)

There is also negates Identity (“ ~ “ is the negate sign)

T'Challa is not Black Panther

~(p=q)

 

With Identity we can translate almost statement into a logical proposition.

Blank is the only President of the United States

Pb&( x) (Px > (x=b))

 

(“>” is a rule of implication. “If this..then that..”)

 

Lower case letters are often used as non-specific individuals

a b c d

 

There are Properties of Relations (or rules of inference for Identity

Equivalence

Reflexivity

Symmetry

Transitivity

 

Equivalence

 

Reflexivity

All things are identical to themselves

Symmetry

If some a is identical to b, then b is identical to that a

Transitivity

If “a” fulfills some function “F” and “a” is identical to “b”, then b fulfills F

Fa

a = b

Fb

This only works in extensional contexts.

Not in intensional contexts

 

Example

Kiki knows that T'Challa was born in Wakanda

Kjm

 

T'Challa is Black Panther

m=s

Kiki knows that Black Panther was born in Wakanda

Kjs

Kxy is x knows that y was born in Wakanda

 

This is an invalid statement, because Jane might not know T'Challa is Black Panther. She might not even know who Black Panther is. If we don’t have the qualifier of “Kiki knows on the second statement then we can’t conclude that our conclusion that Kiki Knows that Black Panther was born in Wakanda.

Statements about knowledge, or beliefs, are going to be intensional contexts

 

https://global.oup.com/us/companion.websites/9780199383405/student/ch9/guide/

 

 

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