Classic Flaws in Logical Reasoning Flashcards

1
Q

Bad Conditional Reasoning

A

-author concludes something by misreading the conditional premises by either: 1) reading the conditional premises backwards without negating or 2) negating the conditional premises and reading it forwards (we can’t assume anything with the presence of necessary condition).

Loophole: What if we actually had to follow the rules of conditional reasoning?

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2
Q

Bad Causal Reasoning

A

-author sees that 2 things are related then concludes that one of those things is causing the other

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

  1. no relationship
  2. new factor
  3. causation is backwards
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3
Q

Whole-to-Part & Part-to-Whole

A

-author says the premise has all the parts of something having a property then concludes that the whole also has that property.

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

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4
Q

Overgeneralization

A

-takes something small and concludes something big; assumes that a part = all the parts

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

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5
Q

Survey Problems

A

-always assume surveys are done with greatest incompetence

UNLESS the stimulus explicitly accounts for survey error, the Loophole is: What if the sample was biased, the questions were biased, there are other contradictory surveys, or the sample is too small?

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6
Q

False Starts

A

-assumes that the two groups are the same in all respects except the ones called out on the study

Loophole: What if the two groups were different in a key respect?

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7
Q

Possibility ≠ Certainty

A

Absence of Evidence ≠ Evidence of Absence: It’s NOT NECESSARILY TRUE, so it CANNOT BE TRUE.

Proof of Evidence ≠ Evidence of Proof: It COULD BE TRUE, so it MUST BE TRUE.

Loopholes: What if absence of evidence ≠ evidence of absence? What if proof of evidence ≠ evidence of proof?

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8
Q

Implication

A

-Someone has a belief , crazy person mentions a factual implication of that belief, and crazy person claims that someone believes the implication of that belief.

Loophole: What if the person in question isn’t aware of what their belief implies?

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9
Q

False Dichotomy

A

pretends there are only two options when there could really be more

2 classes of false dichotomy: Limiting a spectrum and Limiting options

Loophole: What if there are more than just two options ?

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10
Q

Limiting a spectrum (false dichotomy)

A

On a spectrum, you can go up, go down, or stay the same. Spectrum-limiting authors will pretend there are only two options, when there are really three: up, down, or unchanges.

NOT MORE ≠ LESS: Assumes if it’s not going up, it MUST go down
NOT LESS ≠ MORE

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11
Q

Limiting options (false dichotomy)

A

-pretends there are only two options when there could be more (which is trickier than limiting a spectrum)

Because Raoul is a vegetarian, he WILL NOT HAVE THE PEPPERONI pizza for lunch. It follows that he WILL HAVE THE CHEESE pizza.

In the example, the author limited options by assuming there are only cheese and pepperoni pizzas in the world.

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12
Q

Straw Man

A

Sane person makes a claim. Crazy person responds to an entirely different claim, but pretends they responded to the sane person. In reality, crazy person distorts what their proponent said to make the sane person’s claims easier to take down.

Loophole: What if what they said has nothing to do with the claim they’re pretending to respond to?

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13
Q

Ad Hominem

A

Ad hominem premises insult the proponent of a position, but then the concludes that the proponent’s claim is false.

Loophole: What if this person’s character/motivation doesn’t affect the truth?
(Bad proponent ≠ Bad argument)

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14
Q

Circular Reasoning

A
  • author concludes something and gives premises that assume the conclusion is true before doing the work of proving it.
  • often, circular arguments say an objections to the conclusion must not be true because the objection disproves the conclusion, assuming there’s NO WAY this conclusion can be wrong.
  • approach: look for synonyms and similar concepts explained using different words

Loophole: What if we can’t use the conclusion as evidence for itself?

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15
Q

Equivocation

A

When the author changes the meaning of a word throughout an argument (dangling variable)

Loophole: What if we shouldn’t let words change in meaning?

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16
Q

Appeal Fallacies

A

Appeal fallacies turn someone’s opinion into a fact by :

1) invalid appeal to authority
2) invalid appeal to public opinion

17
Q

Invalid appeal to authority (appeal fallacies)

A

happens when the author uses a non-expert opinion to support their conclusions

18
Q

Invalid appeal to public opinion (appeal fallacies)

A

appeals to public opinion are invalid because people are unreliable. A high percentage of random people believing anything has very little bearing on whether that thing is actually true.

Loophole: What if this opinion ≠ evidence of fact?

19
Q

Irrelevant!

A

Irrelevant! happens when the premises are entirely unrelated to the conclusion.

Loophole: What if the premises and the conclusion have nothing to do with one another?

20
Q

Percentages ≠ Numbers

A

-Premises about numbers almost never lead to conclusions about percentages and vice versa

Loophole: What if the group size doesn’t remain the same?

21
Q

Why rising percentage doesn’t necessarily imply a rising number and vice versa?

A

Whenever an argument mentions percentages and numbers, they’re purposefully not mentioning the group size. This is bad because the conclusion only works when the overall group size is just right.

22
Q

Dangling Variable

A
  • most common error in LR
  • new words that appear in the conclusion and not in the premises

Loophole: What if those two things aren’t necessarily the same?
i.e. put a ≠ between the two things that the author pretends are the same.

23
Q

Conditional Dangling Variables

A

-adds a new variable to the conclusion’s conditional statement
Loophole: What if you can’t stealth add new variable to the end of conditional chain?

24
Q

Secret Value Judgments

A

when the author gets judgy in the conclusion

  • authors can’t just deem something “moral” or “appropriate” in the conclusion without defining what the words imply in the premises
  • loophole reminds the authors that they can’t just assume a convenient definition for these words

Loophole: What if that [value judgment] doesn’t have that [definition]?

25
Q

Secret Downsides

A

-happens when the author compares two things and says one of them is superior without giving the full story. They’ll say their preferred choice has a few upsides, but your loophole will remind them of the Secret Downside they aren’t considering.

Loophole: What if the argument’s preferred option has a big downside?

26
Q

Assumed Universal Goals

A

things that the author assumes everyone would want

Loophole: What if they don’t want to [assumed universal goal]?

27
Q

Cause and Effect (Causal reasoning)

A
-claims that cause & effect relationship exists
Loophole (3 classes of omitted options)
1. no relationship
2. backwards causation
3. new factor causing one or both
28
Q

Correlation & Causation

A
Correlation ≠ Causation
When two things are correlated with one another, there are four possible explanations for that occurrence: 
1. Cherry-picked causal explanation
2. Backwards causation
3. New factor causing one or both
4. No relationship

-Causal conclusions are cherry-pickers because none of the four possible explanations are inherently more likely than the other.

29
Q

Sufficient assumption test

A

Does [assumption candidate] prove the [conclusion]?

If yes- then it is sufficient assumption

30
Q

Necessary assumption test

A

If the conclusion is true, must [assumption candidate] be true?
If yes- this is a necessary assumption

31
Q

Assumption chain

A

Sufficient assumption –> Conclusion true –> Necessary assumption

32
Q

Premise indicators

A
because
for
since
as 
given that
33
Q

Conclusion indicators

A
therefore
thus
accordingly
hence
consequently
it follows that
so
34
Q

Designing loopholes for arguments

A
  1. ID conclusion

2. Say “this conclusion isn’t necessarily true”, what if….. [design possibility that destroys the conclusion]

35
Q

Designing loopholes for premise sets

A
  1. design an inference that sticks to exact words of stimulus
36
Q

Designing loopholes for debates

A
  • design a controversy around what the 2 speakers are disagreeing over
    1. Take an inference from 2nd speaker’s statements
    2. Stick a “whether” in front of the inference
37
Q

Designing loopholes for paradox sets

A
  • contradicting premises

- design loophole resolution: What would make this all make sense?