Flaws Flashcards

1
Q

Causal Flaw

A

Description: Mistakes a correlation for causation, assuming that just because two things happen together, one caused the other.

Example: “Every time I see Paul, it rains. Therefore, Paul causes it to rain.”

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2
Q

Conditional Logic Flaw

A

Description: Incorrectly interprets or manipulates conditional statements. This includes flaws like:
- Mistaken Reversal: Treats a conditional statement’s necessary condition as sufficient.
-Mistaken Negation: Incorrectly negates a conditional statement.

Example: “If I pass the LSAT, I will become a lawyer. I’m not going to be a lawyer, so I won’t pass the LSAT.”

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3
Q

Comparison Flaw

A

Description: Assumes that because two things are similar in one respect, they must be similar in another.

Example: “Since medicine A and medicine B are both antibiotics, medicine A must be as effective as medicine B.”

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4
Q

False Dichotomy

A

Description: Treats two or more options as the only possibilities when there may be others.

Example: “Either you support increased funding for public schools, or you don’t care about education.”

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5
Q

Overgeneralization

A

Description: Draws a broad conclusion based on a limited or small sample.

Example: “I met two people from New York who were rude, so all New Yorkers must be rude

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6
Q

Appeal to Authority

A

Description: Assumes that something is true because an authority or expert said so, even if they are not qualified in the specific area.

Example: “A famous actor says this skincare product is the best on the market, so it must be effective.”

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7
Q

Appeal to Popular Opinion (Bandwagon Fallacy)

A

Description: Assumes something is true or correct just because it’s popular.

Example: “Most people believe in astrology, so it must be valid.”

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8
Q

Appeal to Emotion

A

Description: Attempts to manipulate emotions rather than provide a logical reason.

Example: “You should donate to our cause, or innocent children will continue to suffer.”

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9
Q

Circular Reasoning

A

Description: The conclusion is just a restatement of a premise rather than providing a new reason.

Example: “Reading is enjoyable because it’s fun.”

Pretty Rare

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10
Q

Equivocation

A

Description: Uses a word or phrase with multiple meanings inconsistently in the argument.

Example: “A feather is light. Therefore, it cannot be dark.”

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11
Q

Part-to-Whole (or Whole-to-Part) Flaw

A

Description: Assumes that what is true of the parts must be true of the whole, or vice versa.

Example: “Each part of the machine is lightweight, so the entire machine must be lightweight.”
or
“The entire machine is lightweight, so each part of the machine must be lightweight”

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12
Q

False Analogy

A

Description: Assumes that because two things are similar in one way, they must be similar in other ways.

Example: “Just like cars need tune-ups, our economy needs stimulus packages.”

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13
Q

Unrepresentative Sample

A

Description: Bases a conclusion on a sample that does not represent the larger group.

Example: “All of my friends enjoy classical music, so the general public must love it too.”

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14
Q

Biased Sampling

A

Description: Draws conclusions from a sample that is not randomly selected, making it biased.

Example: “A survey of wealthy patrons at a luxury restaurant shows that most people are in favor of tax cuts for the rich.”

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15
Q

Survey Errors

A

Description: Relies on survey data but fails to consider issues like biased sampling, poorly phrased questions, or small sample size.

Example: “A poll showed that 90% of respondents prefer product X, but it turns out only 10 people were surveyed.”

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16
Q

Composition and Division Errors

A

Description: Incorrectly assumes that what’s true of the parts is true of the whole, or what’s true of the whole is true of the parts.

Example: “Since every ingredient in this dish is delicious, the dish must be delicious.”

Same as Part to Whole/Whole to Part

17
Q

Relative vs. Absolute

A

Description: Confuses relative statements (comparisons) with absolute statements (generalizations).

Example: “This car is cheaper than the others, so it must be cheap.”

18
Q

Ad Hominem (Attacking the Person)

A

Description: Attacks the person making the argument rather than the argument itself.

Example: “You shouldn’t listen to her argument on climate change; she’s not even a scientist.”

19
Q

Straw Man

A

Description: Misrepresents an opponent’s argument to make it easier to attack.

Example: “My opponent wants to cut the defense budget, which means he wants to leave our country defenseless.”

20
Q

Temporal Flaws

A

Description: Assumes that because something was true in the past, it must be true in the future, or vice versa.

Example: “This stock has been rising for months, so it will continue to rise.”

21
Q

Self-Contradiction

A

Description: The argument contains statements that contradict each other.

Example: “You can’t trust people who wear glasses, but you can trust my friend who wears glasses.”

22
Q

Absence of Evidence

A

Description: Concludes something is true because there is no evidence proving it false or vice versa.

Example: “No one has proven aliens don’t exist, so they must be real.”

23
Q

Percent vs. Amount

A

Description: Confuses percentages with absolute quantities, ignoring the total size of the population.

Example: “Company A had a 10% growth in sales, while Company B had a 5% growth. Therefore, Company A’s total sales must be higher.”

Company A originally did 100 sales now with a 10% growth they do 110 sales. Company B does 300 sales and with a 5% growth they now do 315, Therefore, company B’s total sales is higher.

24
Q

Scope Shift

A

Description: The argument’s premise discusses one thing, but the conclusion shifts to a different, unconnected topic.

Example: “Pollution in cities is decreasing, so rural areas must also have cleaner air.”

25
Q

Hasty Generalization

A

Description: Draws a broad conclusion from limited data or few instances.

Example: “After meeting two friendly people from Boston, I concluded that everyone from Boston is friendly.”

Same as overgeneralization?

26
Q

Confusing Necessary and Sufficient Conditions

A

Description: Assumes a condition is necessary when it’s only sufficient, or vice versa.

Example: “To become a lawyer, one must go to law school. Therefore, everyone who goes to law school becomes a lawyer.”

Same as Conditional Logic Flaw

27
Q

Know flaw

A

Example: “John will be promoted only if, Jackie retires. John knows that Jackie will retire. Thus, John knows he will be promoted”

We do not know if John knows the condition. Jackie might have told John she was retiring, but we do not know if the company has told john he will get promoted only if Jackie retires. John only know that Jackie is Retiring.

(This example also includes sufficient and Necessary Flaw)

28
Q

Is-Ought (AKA the “prescriptive” or “normative” flaw)

A

Descriptive Premises: The argument starts by stating facts about how things are.
Prescriptive Conclusion: The argument then concludes with how things should be or what one ought to do.
Lack of Justification: The argument doesn’t provide a rationale for why what is should dictate what ought to be.

Argument: “People have always eaten meat, so there’s nothing wrong with eating meat.”
Flaw: This reasoning assumes that because people have traditionally eaten meat (a descriptive fact), eating meat is therefore morally acceptable (a prescriptive claim). However, the argument fails to explain why the tradition of eating meat justifies its moral acceptability.

29
Q

Routinely to Never

A

Can’t go from, “something bad ROUTINELY happens which causes x, y, and z bad consequences. Thus we should NEVER let that something bad happen.”

Because what happens if the something bad happens sometimes? Will it lead to the same consequences? we don’t know.

How to correct: “something bad SOMETIMES happens which causes x, y, and z bad consequences. Thus we should NEVER let that something bad happen.”

Sometimes = 1/10 or 10% at its lowest