Flaws Flashcards

1
Q

Reads conditionals in premises wrong

A

Bad Conditional Reasoning

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2
Q
  1. Conditional premises
  2. Concludes something by reading the conditional premises backwards without negating
A

Bad conditional reasoning

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3
Q
  1. Conditional premises
  2. Concludes something by negating the conditional premises and reading forward
A

Bad conditional reasoning

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4
Q

Loophole: what if we actually have to follow the rules of conditional reasoning?

A

Bad conditional reasoning

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5
Q
  1. Sees two things are correlated
  2. Concludes that one of those things is causing the other
A

Bad causal reasoning

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6
Q

Omitted options: no relationship, new factor, backwards causation

A

Bad casual reasoning

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7
Q

Correlation ≠ causation

A

Bad casual reasoning

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8
Q

Parts≠whole

A

Whole to part/ part to whole

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9
Q

Loophole: what if wholes don’t necessarily equal parts?

A

Whole to part/part to whole

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10
Q

Loophole: what if one of the omitted options is the case?

A

Bad causal reasoning

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11
Q
  1. Member of category has a property
  2. Concludes that the category itself also has that property

VICE VERSA

A

Whole to part / part to whole

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12
Q

Part ≠ all the parts

A

Overgeneralization

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13
Q

Loophole: what if we can’t generalize from this one thing to a bunch of other things?

A

Overgeneralization

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14
Q

Liana was quite clever in her paper on shark anatomy. So Liana is a clever person.

A

Overgeneralization

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15
Q

Those economists who claim that consumer prices increases have averaged less than 3 percent over the last year are mistaken. They clearly have not shopped anywhere recently. Gasoline is up 10 percent over the last year; my auto insurance, 12 percent; newspaper, 15 percent; propane, 13 percent; bread, 50 percent.

A

Overgeneralization

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16
Q

Biased samples

A

Survey problems

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17
Q

Biased questions

A

Survey problems

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18
Q

Other contradictory survey: makes up when reality is different

A

Survey problems

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19
Q

Survey liars

A

Survey problems

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20
Q

Small Sample size

A

Survey problems

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21
Q

Loophole: what if the sample was biased, the questions were biased, there are other contradictory surveys, people lie on surveys, or the sample is too small?

A

Survey problems

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22
Q

Assume that two groups are same in all respects except the ones called out as part of study

A

False Starts

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23
Q

Example: possible difference in diet or age

Comparison is two group one exercise and one non exercise. Above might be key difference in groups specified as false starts

A

False start

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24
Q

What if two groups were different in key aspects?

A

False start

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25
Lack of evidence ≠ evidence of lacking It’s not necessarily true, so it cannot be true.
Possibility ≠ Certainty
26
Proof of evidence ≠ evidence of proof It could be true, so it must be true.
Possibility ≠ Certainty
27
1. Belief 2. Mentions a factual implication of belief 3. Claim to believe the implication of belief
Implication
28
Facts ≠ some believing those facts
Implication
29
Loophole: what if the person in question isn’t aware of what their belief implies?
Implication
30
Opinions and facts don’t play well together
Implication
31
Limiting spectrum: 1. eliminates one of the options 2. Concludes the second option must be the case Limiting options: 1. Outline 2 options 2. eliminates one of the options 3. Concludes the second option must be the case
False dichotomy
32
Aka false dilemma
False dichotomy
33
Spectrum Up, down, or same Not more ≠ less Not less ≠ more
False dichotomy
34
Options: pretends there are only 2 options when there could be more
False dichotomy
35
Option loophole: what if there are more than just two options?
False dichotomy
36
1. Claim is made 2. Response to an entirely different claim but pretends they responded to the original claim
Straw man
37
Not always! : “so what you’re really saying is…” or “so what you mean is…”
Straw man
38
Loophole: what if what they said had nothing to do with claim they are pretending to respond to?
Straw man
39
1. Makes claim 2. Talks about how person making claim is awful 3. Concludes that person making claim is false
Ad hominem
40
A proponent bias for/against a position, does not affect the truth or falsity of that position
Ad hominem
41
Premises about character and motivation, only prove claims about character and motivation
Ad hominem
42
Loophole: what if this persons character/motivation doesn’t affect the truth?
Ad hominem
43
Trick: looking for synonyms between the premises and conclusionS
Circular reasoning
44
1. Concludes something 2. Supplies premises that assume the conclusion is already true
Circular reasoning
45
Who is Paul: what if we can’t use the conclusion of evidence for itself?
Circular reasoning
46
Repetition between the premises and conclusion
Circular reasoning
47
1. Uses word or idea, intending one of its possible meanings 2. Concludes something using the other possible meanings of word or idea
Equivocation
48
Happens when the other changes, the meaning of the word throughout an argument
Equivocation
49
Loophole: what if we shouldn’t let words change in meaning?
Equivocation
50
Example: the word exploit used in different meanings 1. to take advantage of someone 2. Used to its fullest extent
Equivocation
51
1. Says that a person or a group believe something 2. Conclude that thing must be true
Appeal fallacies
52
Opinion ≠ fact
Appeal fallacies
53
Only time this works is when that person is an expert in the field
Appeal fallacies
54
Invalid, appeal to authority: author uses a non-expert opinion to support the conclusion Invalid appeal to public opinion: invalid, because people are unreliable. High percentage of random people believe in anything has very little bearing on whether that thing is actually true.
Appeal fallacies
55
Loophole: what is this opinion doesn’t equal evidence of fact?
Appeal fallacies
56
1. Supplies a few premises. 2. Conclude something that is a related to those premises.
Irrelevant
57
Occurs when premises are entirely unrelated to the conclusion
Irrelevant
58
Loophole: what is the premises in the conclusion have nothing to do with one another?
Irrelevant
59
Premises about numbers almost never lied to conclusions about percentages and vice versa
Percentages ≠ numbers
60
When an argument mentions numbers and percentages, there’s one big thing they’re purposely not mentioning: group size
Percentages ≠ numbers
61
Always the same group size remains the same
Percentages ≠ numbers
62
Don’t be afraid to take example 3 sizes this can really help clarify difficult questions
Percentages ≠ numbers
63
TIPS: think of classic flaws as predictable loopholes. They rely on predictably bad assumptions
TIPS