33. Reasoning, Guessing, and the Four Arguments
Summary
This lecture examines the nature of reasoning as the discursive movement from known or accepted statements to new statements, distinguishing it from understanding. Berquist introduces the four types of arguments (example, induction, enthymeme, and syllogism) as a progression along the ‘road from the senses into reason,’ emphasizing the relationship between certainty, necessity, and the strength of various forms of argumentation. The lecture explores how reasonable guessing operates in fields from meteorology to rhetoric, and how formal logic mirrors natural processes of production.
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Lecture Notes
Main Topics #
Reasoning vs. Understanding #
- Reasoning is distinct from understanding; it is the movement of mind from one statement to another
- Understanding is static (like rest); reasoning is discursive and kinetic (like motion)
- Both concern the intellect, but in different modes
The Nature of Guessing and Reasonable Guesses #
- Not all guesses are wild; there are reasonable guesses (guesses with reasons)
- Examples: weatherman predicting rain, economist forecasting economic trends, experimental physicist proposing freely-imagined hypotheses
- The difference between guessing and knowledge: guessing lacks certainty; knowledge grasps necessity
- Reasonable guessing is distinguished from wild guessing by having evidentiary or rational basis
Definition of Reasoning #
- Reasoning is coming to know or guess a statement from other statements already known or accepted, and because of them
- The key phrase “because of” indicates that the conclusion flows from premises, not merely follows them
- Alternative formulation: reasoning is coming to know or guess a statement through other statements known or accepted
Calculating vs. Reasoning #
- Calculating is similar to reasoning: it is coming to know or guess a number from other numbers
- Even correct arithmetic operations (addition, subtraction, multiplication, division) may yield only a guess if the starting numbers are themselves guesses
- Like the syllogism, calculating produces a third element from two elements, and both arts imitate nature (two parents produce offspring)
- The conclusion may follow necessarily while still remaining uncertain if premises are uncertain
The Four Arguments as a Progression #
Arguments move along a “road from the senses into reason,” becoming progressively more difficult and more universal:
- Example (exemplum): singular to singular
- Induction (epagoge): many singulars to universal
- Enthymeme (enthymema): from something more universal or probable
- Syllogism: completely universal, most removed from senses
Argument as Speech #
- An argument is speech bringing together the statements from which we reason
- The statements from which we reason are called premises (Latin praemissa, “sent before”)
- The statement to which we reason is called the conclusion
- The Greek term ποτόθις (potosis) is more accurate than praemissa because it suggests premises “stretch forward, producing the conclusion”
Logic and Logistic as Parallel Arts #
- Logike (logic, reasoning) and logistike (calculating) are two distinct arts
- Both involve coming to know something unknown from things already known
- Both imitate nature: as two parents produce offspring of similar kind, two premises produce a conclusion, and two numbers produce a third number
- Arthur Eddington’s observation: “If you put in numbers, you get out numbers” (natural limitation of operations)
Key Arguments #
Example (Exemplum) #
- Definition: An argument from one singular to another singular of the same kind
- Structure: Reasoning from a past singular case to a future singular case
- Necessity: Conclusion does not follow necessarily; it is a reasonable guess
- Strength depends on: The likeness between the two singulars; the greater the likeness, the stronger the argument
- Usage: Common in rhetoric, political discourse, everyday decision-making (restaurant selection, car purchase, course enrollment)
- Etymology note: Example differs from sample; a sample is a part of an integral whole (e.g., cheese sample), while an example illustrates a universal through a particular
First Meaning of “Example” (Non-argumentative) #
- A singular used to illustrate the universal
- Necessary in all teaching because of human dependence on the senses
- A professor must use examples (particular instances) to teach universal concepts
- This is not itself an argument, but a pedagogical aid
Induction (Epagoge) #
- Definition: An argument from many singulars to the universal
- Etymology: From Greek verb meaning “to lead in”; premises lead the mind into universal statements
- Process: Examining multiple cases (e.g., frog A has three-chambered heart, frog B has three-chambered heart, frog C has three-chambered heart, therefore all frogs have three-chambered hearts)
- Necessity: Does not guarantee necessity; conclusion is a reasonable guess from enumeration of cases
- Movement: More advanced along the road from senses to reason than example; moves from particular to universal
Important Definitions #
Reasoning (λογισμός - logismos) #
- Coming to know or guess a statement from other statements already known or accepted, and because of those statements
- The phrase “because of” is essential: it distinguishes reasoning from mere sequence
Premise (praemissa / ποτόθις - potosis) #
- Latin: literally “sent before”
- Greek: from πρωτείνω (proteino), meaning “to stretch forward”
- The Greek term better captures that premises actively stretch forward to produce the conclusion
Conclusion #
- The statement to which we reason
- Follows from premises either necessarily (in syllogism) or as a reasonable guess (in other arguments)
Argument (argumentum) #
- Speech bringing together the statements from which we reason
- A tool of logic; logos means reason, so logic concerns speeches involving reasoning
Reasonable Guess (vs. Wild Guess) #
- A guess with a rational or evidentiary basis
- Distinguished from mere random speculation
- Examples: meteorologist’s forecast based on weather patterns, economist’s projection based on data trends
Examples & Illustrations #
Plymouth Car Purchase #
- First Plymouth lasted 10 years; therefore, buyer reasons that another Plymouth will also be good
- Father-in-law observes this reasoning and also purchases a Plymouth
- Illustrates argument from one singular (past purchase) to another singular (future purchase)
Restaurant Selection: Joseph’s Restaurant in Boston #
- Had excellent meal on Saturday night; recommended restaurant to connoisseur friend
- Friend dined on Monday evening and had ordinary meal
- Illustrated that likeness between two singulars matters: Saturday evening may have had head chef; Monday may have had lesser kitchen staff
- Shows weakness of example argument: even with good reason for the guess, conclusion is not guaranteed
Automobile Selection: Honda vs. Chevrolet #
- Past experience: Hondas started reliably in winter; Chevrolets sometimes failed to start
- Reasoned preference: better to buy another Honda than another Chevrolet
- Illustrates strengthening of argument when similarity is greater and reasons more substantial
Shakespeare’s Henry V #
- Context: Hundred Years’ War between England and France; English preparing second invasion
- King’s argument: “It fits us then to be as provident, as fear may teach us out of late examples, left by the fatal and neglected English upon our fields”
- Reasoning: King recalls devastation from first English invasion; therefore prepares carefully for second invasion
- Contrast: Young Dauphin wasn’t present at first invasion and remains overconfident; lacks experiential basis for his argument
- Shakespeare’s phrase: “Looking before and after” - examining past similar cases to foresee future outcomes
- Term: Shakespeare uses “provident” (from Latin providentia, foresight)
MacArthur’s Incheon Landing #
- Military establishment opposed landing as too risky
- MacArthur argued: “I’m going to do exactly what Wolfe did in Quebec”
- Parallel case: Wolfe unexpectedly climbed hills to Plains of Abraham, attacking where French didn’t expect
- MacArthur’s principle: “Hit them where they ain’t” - apply strategy from past successful singular case to new situation
- Illustrates example argument in military strategy
Munich Appeasement (1938) #
- Chamberlain appeased Hitler; believed this would satisfy him and avoid war
- Churchill warned: “You’re just going to have to fight them under less favorable circumstances now”
- Modern usage: When facing other dictators, argument returns to Munich as example: appeasing dictators only makes them more voracious
- Shows how example argument is used in political rhetoric
Course Selection by Students #
- Student takes course from Professor X and receives good mark; therefore takes another course from Professor X
- If student received low mark, less likely to take another course from same professor
- Shows spontaneous use of example argument without explicit awareness
- Limitation: Different courses may be quite different in content and difficulty; strength of argument depends on likeness of courses
Professor Quality vs. Subject Matter #
- Student likes Professor X in logic course; may not like Professor X in philosophy of nature course
- Love and Friendship course may have over-enrollment while logic course does not
- Illustrates how strength of example argument depends on specific likeness between cases
Historical Analogy and Uniqueness #
- Historian argues that every historical period is unique; purpose of history is to show fallacy of historic analogies
- Historian emphasizes differences over similarities
- Shows methodological tension: historians may resist example arguments because they focus on singular particularity
Frog Example for Induction #
- This frog has three-chambered heart; this frog has three-chambered heart; this frog has three-chambered heart; therefore all frogs have three-chambered hearts
- Illustrates movement from enumeration of many singulars to universal statement
Questions Addressed #
Why distinguish reasonable guessing from wild guessing? #
- Because people in various professions are paid to make reasonable guesses (weathermen, economists)
- Reasonable guessing has some basis or reason
- Wild guessing has no basis; purely arbitrary
- Philosophy of nature should examine the reasonable guesses of early natural philosophers, not dismiss them as mere speculation
How do we know or guess statements? #
- Through reasoning: moving from other statements already known or accepted to new statements
- The new statement must follow from the earlier statements not merely sequentially, but because of them
What is the relationship between certainty and necessity? #
- In syllogism, conclusion follows necessarily from premises
- But even if conclusion follows necessarily, we may not be certain of it if premises are uncertain
- Example: Multiply number of guests by average beers per guest correctly, yet remain uncertain of result because initial numbers were guesses
- For certainty, need both true premises AND necessary inference
How do logic and calculation parallel natural reproduction? #
- Two dogs produce another dog (not a cat or elk); natural offspring resemble parents
- Two statements produce a third statement (conclusion)
- Two numbers produce a third number (result of arithmetic operation)
- Both arts follow principle that two elements produce a third of like kind
Why do guesses precede knowledge even in geometry? #
- In isosceles triangle, one typically guesses that base angles are equal before proving it rigorously
- Before finding reason why angles must be equal, one already suspects it is true
- Reasoning backward: search for explanation of something already believed
How does fear teach us? #
- Shakespeare notes that “fear may teach us”
- Fear makes us take counsel, become careful and wise
- Referenced in Adonis: small animal being chased displays wisdom; “wit waits on danger”
- Also: “Wisely and slow, they stumble that run fast” (Friar Lawrence)
Logical Structure and Pedagogy #
Why philosophy professors don’t define reasoning #
- Many philosophy professors, when asked “What is reasoning?” have no clear definition
- They know it when they see it but haven’t thought distinctly about it
- Yet this is foundational to their teaching
Why begin with example arguments? #
- Example is closest to senses; easiest to understand
- Students use example arguments spontaneously without recognizing them
- Concrete, familiar from everyday life
- Prepares mind for more abstract arguments (induction, enthymeme, syllogism)
The “road from senses into reason” #
- Singular things are known to us first (through sensation)
- Universal things are known later (through understanding)
- Arguments progress from sensible to intelligible
- Each step moves further from senses, closer to reason
References to Classical and Modern Sources #
Aristotle #
- Framework for four types of arguments
- Distinction between logos and reasoning
Euclid #
- Geometry as model of rigorous syllogistic demonstration
- Isosceles and equilateral triangles as examples
Einstein #
- Characterization of scientific guess as “freely imagined” (not reasonable guess)
- Scientific hypotheses must be tested by consequences
Arthur Eddington (Astrophysicist) #
- Head of scientific team confirming general relativity
- Quote: “If you put in numbers, you get out numbers”
Shakespeare #
- Henry V: King’s use of example argument; Dauphin’s overconfidence
- Romeo and Juliet: Friar Lawrence’s maxim “Wisely and slow, they stumble that run fast”
- Venus and Adonis: “Wit waits on danger”
- Hamlet: “This above all, to an own self be true, and it must follow as the night the day, thou canst not then be false to any man”
Winston Churchill #
- Preference for word “foresight” over “prudence”
- Reference to Munich appeasement and lesson thereof
Thomas Aquinas #
- Virtue of prudence (prudencia) with integral parts
- Providentia (foresight) as principal part of prudence
- Objection: How can prudence and providence mean same thing if one is part of other?
- Answer: Whole virtue named from principal part