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Arguments of Relationship

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Title: Arguments of Relationship


1
Arguments of Relationship
  • Causal Arguments

2
Three Types of Causal Arguments
  • I. Covering laws physical or material
    conditions which bring about an effect
  • II. Assigning responsibility human agents with
    the power to choose precipitate certain events
  • III. Explanation provide reasons to justify a
    causal connection. Used in connection with I and
    II

3
Covering Law Statements
4
Covering Law example
  • 1837 report by Doctor Schwann
  • Boil meat thoroughly and put it in a clean bottle
    and lead air into it that has passed through
    red-hot pipesthe meat will remain fresh for
    months. But in a day or two after you remove the
    stopper and let in ordinary air, with its little
    animals, the meat will begin to smell dreadfully
    it will teem with wriggling, cavorting creatures
    a thousand times smaller than a pinhead. It is
    these beasts that make meat go bad.

5
Kinds of Covering Law Statements
  • Contributory Causes
  • Necessary Causes
  • Sufficient Causes
  • Intervening Causes
  • Counteracting Causes

6
Creating Causal Claims Using Mills Methods
  • Method of Agreement (presence)
  • Method of Difference (absence)
  • Combined absence and presence
  • Method of concomitant variation
  • Correlation
  • Time-series methods
  • Method of residues
  • Multiple regression

7
Mills methods
  • Joe likes gin tonic with ice makes him feel
    relaxed and happy
  • Fred has rum and coke with ice makes him feel
    relaxed and happy
  • Peter enjoys scotch on ice makes him feel
    relaxed and happy
  • Alan loves vodka and orange with ice makes him
    feel relaxed and happy

8
Mills methods (example)
  • Joan has had severe allergic skin reactions five
    times this summer. On the first occasion, she had
    multiple mosquito bites, had used a new perfumed
    soap, and was exposed to severe heat. On the
    second occasion, she had been bitten by a wasp,
    had used perfumed bubble bath, had been suffering
    from a mild flu and had a number of mosquito
    bites. On the third occasion, she was again
    bitten by a wasp, had been wearing a new blouse
    with specially treated fabric, had many mosquito
    bites, and had slept at a motel where the sheets
    were laundered with scented soap. The fourth
    time, she had been exposed to heat, had attended
    a theatrical performance where she had to sit
    next to someone wearing powerfully scented
    cologne, had mosquito bites, and had eaten sharp
    cheese. On the fifth occasion, Joan had drunk
    Wine, sat next to someone wearing a strong
    perfume, had been stung by a wasp and had a
    number of mosquito bites.

9
Mills Methods (example)
  • One hundred fifty students are enrolled in a
    university course on algebra. Because the
    available classrooms can hold only 75 students,
    the class is split in two on the basis of student
    timetable convenience. One section is taught by
    Dr. Smith in person, whereas in the other section
    students view Dr. Smiths lectures on television.
    In both sections, two graduate assistants are
    present the same two graduate assistants attend
    each section, mark the tests and conduct the
    tutorials. The textbook is the same for each
    class. Dr. Smith composes and marks all
    examinations for both sections, He is widely
    regarded as an uninspiring lecturer with a rather
    arrogant and unattractive personality. The live
    section is held at 900 am, whereas the
    television section is held at 100 pm. At the
    end of the course, students are asked to evaluate
    it. In the morning section the average
    evaluation is 7.5 of 10 and there is no
    evaluation lower than 5. In the afternoon
    section, the average evaluation is 4.5 out of 10
    and there is no evaluation higher than 6.

10
Mills Methods (example)
  • Among factors responsible for adolescent
    students using drugs, one of the most potent is
    social conformity pressures. A large-scale 1971
    survey of over 8,000 secondary school students in
    New York State revealed that adolescents are much
    more likely to use marijuana if their friends do
    than if their friends do not.
  • To some extent initiation into the drub scene
    is a function of modeling parental drug use. ...
    But the most striking finding was the role that
    peers played. Association with other drug-using
    adolescents was the most important correlate of
    adolescent marijuana use. Only 7 percent of
    adolescents who perceive none of their friends to
    use marijuana use marijuana themselves, in
    contrast to 92 percent who perceive all their
    friends to be users. As can be seen, the
    influence of best friends overwhelms that of
    parents.

11
Assigning Responsibility
  • Human Motivation as Causal

12
Assigning Responsibility
  • Why do people choose evil over good? How does
    perverse motivation work in argument?
  • Examples
  • Motive in court of law
  • Policy arguments such as regulatory action
  • Conspiracy theories

13
Assigning Responsibility
  • Jim Marrs, Crossfire
  • These sins of coverup and suppression of
    evidence can be laid squarely at the feet of the
    federal government.
  • No agents of the Dallas police, organized crime,
    Fidel Castro, or Nikita Kruschev could have
    accomplished these documented efforts to hide the
    truth of the assassination

14
Explanations
15
Explanations
  • Explanations serve to support Type I and Type II
    causal arguments
  • Unlike Type I and Type II, explanations are
    logical, not empirical
  • Standards for judging explanations
  • Can the explanation account for all elements of
    the causal relationship?
  • Is the explanation simple?

16
Explanation Example
  • The practice arose to prevent the population from
    consuming the animal on which Indian agriculture
    depends. During the First Millennium B.C., the
    Ganges Valley became one of the most densely
    populated regions of the world.
  • Where previously there had been only scattered
    villages, many towns and cities arose and
    peasants farmed every available acre of land.
    Kingsley Davis, a population expert at the
    University of California at Berkeley, estimates
    that by 300 BC between 50 million and 100 million
    people were living in India. The forested Ganges
    valley became a windswept semidesert and signs of
    ecological collapse appeared droughts and floods
    became commonplace, erosion took away the rich
    topsoil, farms sharnak as population increased,
    and domesticated animals became harder and harder
    to maintain.

17
Explanation (cont)
  • It is probable that the elimination of meet
    eating came about in a slow and practical manner.
    The farmers who decided not to eat their cows,
    who saved them for procreation to produce oxen,
    were the ones who survived the natural disasters.
    Those who ate beef lost the tools with which to
    farm. Over a period of centuries, more and more
    farmers probably avoided beef until an unwritten
    taboo came into existence.
  • Only later was the practice codified by the
    priesthood. While Indian peasants were probably
    aware of the role of cattle in their society,
    strong sanctions were necessary to protect zebus
    from a population faced with starvation. To
    remove temptation, the flesh of cattle became
    taboo and the cow became sacred.
  • Marvin Harris, Indias Sacred Cow, Human
    Nature, 1978.

18
Force of Causal Argument
  • The force of causal argument is a statement about
    the certainty of the connection between cause and
    effect, not a statement of its probable truth.
  • The force of a causal argument is inversely
    proportional to qualifiers and reservations.
  • Two statements of force
  • how possibly
  • Why necessarily

19
Purposes of Causal Arguments
  • To produce an evaluation
  • To show how a plan can solve a problem
  • by eliminating a necessary cause of the problem
  • by adding a sufficient cause of an effect

20
Refuting Causal Claims
  • Absence test
  • Correlation does not equal causation
  • Alternative causes
  • Intervening and counteracting causes
  • Distinguishing necessary and sufficient causes
    from other types
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