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Today, we'll delve into a common fallacy in logic known as the fallacy of affirming the conclusion. Can anyone tell me what that might mean?
I think it means assuming something is true just because the end result is true?
Exactly! This fallacy follows a certain pattern. If we have a premise, 'If p, then q', and we know that q is true, we incorrectly deduce that p must also be true. This reasoning is flawed, as q can be true for a variety of reasons.
Can you give us an example of that?
Sure! Consider this: 'If you solve every problem of Rosen's book, you will learn discrete maths.' Let p represent solving the problems, and q represent learning the subject. If we know you've learned discrete maths, it doesn't mean you've solved all the problems; maybe you learned through other means, like lectures!
Oh, that makes sense! It's like saying that just because I have the app, I must have done the exercises it suggests.
That's a great analogy! Just because you have the tool doesn't necessarily mean you used it correctly. So a sound argument doesn't just rely on the conclusion being true, but the relationship between premises and conclusions.
Understood! It's clear that we need a valid structure in our arguments — like Modus Ponens.
Exactly! Modus Ponens is valid because it means if both p is true and if 'If p, then q', is true, then logically q must be true. So, validity comes from how premises connect to conclusions, not just their individual truths.
To wrap up today's session: the fallacy of affirming the conclusion misapplies the truth of the consequent to deduce the truth of the antecedent, leading to incorrect conclusions.
Let's contrast the fallacy we discussed earlier with a valid argument form called Modus Ponens. Can anyone explain Modus Ponens?
Isn't it something like if p is true, and if p leads to q, then q must be true?
Correct! It follows the structure: p, p → q, therefore q. It's crucial to differentiate this from affirming the conclusion where q is true, and we incorrectly conclude p.
So, with Modus Ponens, we start with p, not q?
Exactly! This clarity makes Modus Ponens a reliable form of reasoning, whereas affirming the conclusion lacks this direct linkage and can lead to faulty logic.
Got it! I'm also wondering about the other fallacy we touched upon—the fallacy of denying the hypothesis?
Good question! This fallacy states if p → q and you have ¬p, then we can't conclude ¬q. Again, showing that just because we know part of our conditions doesn't directly validate our outcomes.
This is really helping clarify how we construct arguments! So what should we remember?
Remember, valid arguments connect premises reliably to conclusions, while fallacies can mislead us if we don't scrutinize the relationships.
Let's discuss some applications of recognizing the fallacy of affirming the conclusion. Why is it important?
If we don't recognize it, we might make bad decisions based on faulty logic!
Exactly! In real life, this could manifest in arguments we encounter or construct ourselves. Say in scientific research where concluding a result from correlation without proper causation can lead to false assumptions.
So it's critical in fields like law or medicine too?
Yes! Understanding logical fallacies helps in evaluating evidence and arguments critically. Great observation!
Can we practice some examples now?
Of course! Consider this scenario: 'If it rains, then the ground is wet. The ground is wet, therefore it must have rained.' What do you think is wrong here?
It could have been wet for other reasons, like watering the garden!
Absolutely! You're grasping it well. It's vital to scrutinize assumptions we make in our reasoning.
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This section covers the fallacy of affirming the conclusion by explaining its structure and contrasting it with valid argument forms such as Modus Ponens. It illustrates how the invalid conclusion may seem plausible but fails logically, highlighting its implications in logical reasoning.
The fallacy of affirming the conclusion occurs when an argument asserts that a conclusion is valid based solely on the premise that the consequent is true. In logical terms, it follows the pattern: if we have a premise of the form p → q
and we know q
, we incorrectly conclude p
. This reasoning is flawed as it does not account for the possibility that q
could be true for reasons unrelated to p
.
p → q
(If p, then q) and q
(q is true), but the conclusion p
(therefore p) is not necessarily true.p → q
and p
, leading to the conclusion q
. The fallacy of affirming the conclusion mistakenly resembles Modus Ponens but leads to an invalid conclusion.Recognizing and understanding the fallacies in logical reasoning is crucial, as they highlight the importance of sound argumentation in mathematical logic and help prevent flawed reasoning in various applications.
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So consider this argument form: your premises are p → q and q and you are drawing the conclusion p.
This chunk introduces the fallacy of affirming the conclusion. It states that if you have two premises, where one is an implication (p → q) and the other asserts the truth of the conclusion (q), then concluding the antecedent (p) is a logical error. This structure does not guarantee that p is true even if both premises hold, leading to an invalid argument.
Imagine you say, 'If it is raining (p), then the ground is wet (q). The ground is wet (q), therefore it is raining (p).' This reasoning is flawed as the ground could be wet for other reasons, like someone watering the garden.
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To verify this you have to verify whether p → q and q, implies p is a tautology or not. Well, it is not a tautology, the problem here is the following consider this following argument, I make the premise, I give you the premise that if you solve every problem of Rosen’s book, you will learn discrete maths and it is already given that you have learnt discrete maths, okay?
This section shows how to assess the validity of the reasoning. It emphasizes that while you may believe that learning discrete mathematics implies solving problems from Rosen’s book, it does not mean the reverse is true. Just because you have learned does not necessitate solving every problem, making the logic invalid.
Consider this analogy: 'If a person is at the top of a mountain (p), they reached it by climbing (q). The person is at the top (q), therefore they climbed (p). This doesn't account for cases where they might have taken a lift or helicopter.
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So this argument, by this English argument forms in this argument form. So let p represent a statement at you solve every problem of Rosen’s books and q represent a statement at you will learn discrete maths. So that is why this is p → q. Another premise that is given is you learn discrete maths that means it is given q to the true therefore the conclusion that I am trying to draw here is that you solved every problem of Rosen’s books, which is p.
This chunk reiterates the specific example given to illustrate the fallacy. It clearly defines p and q, reinforcing that just because q (learning discrete maths) is true, it does not logically follow that p (solving every problem) must also be true. This reinforces the significance of recognizing invalid inference patterns.
Imagine someone saying, 'If a student studies hard (p), they will pass the exam (q). The student passed the exam (q), so therefore they studied hard (p).' This argument is flawed because the student may have guessed answers or had prior knowledge.
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Key Concepts
Invalid Argument Structure: The premises are p → q
(If p, then q) and q
(q is true), but the conclusion p
(therefore p) is not necessarily true.
Example: Considering a classic example: "If you solve every problem of Rosen’s book (p), you will learn discrete maths (q). You have learned discrete maths (q), therefore you have solved all the problems (p)." This reasoning is invalid because learning discrete maths could occur through other means.
Contrast with Modus Ponens: Modus Ponens is a valid argument form that asserts p → q
and p
, leading to the conclusion q
. The fallacy of affirming the conclusion mistakenly resembles Modus Ponens but leads to an invalid conclusion.
Other Fallacies: The section introduces another common fallacy, denying the hypothesis, which states that presence of the hypothesis being false leads to the conclusion being false as well. Yet, this reasoning can also be incorrect.
Recognizing and understanding the fallacies in logical reasoning is crucial, as they highlight the importance of sound argumentation in mathematical logic and help prevent flawed reasoning in various applications.
See how the concepts apply in real-world scenarios to understand their practical implications.
If it is sunny, then I will go swimming. It is sunny. Therefore, I will go swimming.
If I study hard, I will pass the exam. I passed the exam; hence, I studied hard.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
If it rains and the ground's wet, don’t conclude just yet, explore the rest to see what's set!
Imagine a student who claims that just because their homework was graded well, it means they must have done all the assignments. In fact, they could have just been lucky with an easy topic.
Remember the word FALLACY to recall that the conclusion might not follow correctly from premises.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Affirming the Conclusion
Definition:
A logical fallacy that incorrectly concludes the truth of the antecedent based on the truth of the consequent.
Term: Modus Ponens
Definition:
A valid argument form where if 'p' is true and 'p → q' is true, then 'q' must also be true.
Term: Negation
Definition:
The logical operation that inverts the truth value of a proposition, often denoted as ¬.
Term: Tautology
Definition:
A formula or assertion that is true in every possible interpretation.