fallacies and stats Flashcards

1
Q

Red herring:

A

bringing in an irrelevant premise that ”feels” relevant, but it is not.

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2
Q

bringing in an irrelevant premise that ”feels” relevant, but it is not.

A

Red herring:

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3
Q

False dilemma

A

suggesting “either…or” when other options exist

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4
Q

suggesting “either…or” when other options exist

A

False dilemma:

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5
Q

Appeal to Pity:

A

which uses the negativity outcomes of a premise to suggest it is false. (A kind of red herring)

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6
Q

which uses the negativity outcomes of a premise to suggest it is false. (A kind of red herring)

A

Appeal to Pity:

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7
Q

Ad Hominem:

A

Attacking the person rather than the idea- (A kind of red herring)

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8
Q

Attacking the person rather than the idea- (A kind of red herring)

A

Ad Hominem:

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9
Q

Argument from ignorance

A

(“since X has not been proved false, it is therefore true”)

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10
Q

(“since X has not been proved false, it is therefore true”)

A

Argument from ignorance

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11
Q

Appeal to popularity

A

: “getting on the bandwagon” because “everyone says so”)

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12
Q

: “getting on the bandwagon” because “everyone says so”)

A

Appeal to popularity

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13
Q

Appeal to inappropriate authority

A

Justification from an irrelevant person, serving as expert in the argument

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14
Q

Justification from an irrelevant person, serving as expert in the argument

A

Appeal to inappropriate authority

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15
Q

Begging the question

A

presupposing the conclusion that has to be justified by the premise

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16
Q

presupposing the conclusion that has to be justified by the premise

A

Begging the question

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17
Q

Hasty generalization:

A

forming a general proposition from insufficient or flawed evidence

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18
Q

forming a general proposition from insufficient or flawed evidence

A

Hasty generalization:

19
Q

Slippery slope

A

exaggeration of the consequences when the outcome is not actually known)

20
Q

exaggeration of the consequences when the outcome is not actually known)

A

Slippery slope

21
Q

Equivocation:

A

an argument using one word to mean two different things

22
Q

an argument using one word to mean two different things

A

Equivocation:

23
Q

We can’t stop enforcing laws
prohibiting littering, loitering,
and panhandling, without
putting in danger our laws
against murder, rape, and assault

A

false dilemma

24
Q

Jean Charest was wrong about
Weapons of Mass Destruction.
He’s a terrible painter. He
definitely is wrong about health
care

A

hasty generalization

25
Q

◦We can achieve peace in the
Middle East by economic
sanctions, or by a full-on military
assault. It is clear that economic
sanctions have led to a dead-end,
so it is time to get the troops
ready.

A

false dilemma

26
Q

I need a heavy duty truck.
Wayne Gretzky says that these
latest Ford models are as tough
as trucks come, so maybe I’ll get
one of those

A

inappropriate form of autorithy

27
Q

Cheating on a romantic partner
cannot be justified. The reason
is that it is never acceptable for a
romantic partner to cheat on
their partner. It follows that
cheating cannot be justified.

A

begging the question

28
Q

Unreliable
Statistics

A

If a poll is taken of people but the
question is formulated in a way
where the answer may be
untrustworthy because the
individual may not answer honestly,

29
Q

If a poll is taken of people but the
question is formulated in a way
where the answer may be
untrustworthy because the
individual may not answer honestly,

A

Unreliable
Statistics

30
Q

Confusing use
of averages

A

Make sure the “average” in question
is directly related to the situation

31
Q

Make sure the “average” in question
is directly related to the situation

A

Confusing use
of averages

32
Q

Proving one
thing,
Concluding
Another

A

Don’t draw conclusions that
data that the study isn’t
directly supporting

33
Q

Don’t draw conclusions that
data that the study isn’t
directly supporting

A

Proving one
thing,
Concluding
Another

34
Q

Biased Sample

A

Choosing to do research on only a subset of
potential subjects because you know that group
will provide you the results you want,

35
Q

Choosing to do research on only a subset of
potential subjects because you know that group
will provide you the results you want,

A

Biased Sample

36
Q

Deceiving by
omitting
information

A

Gatorade is 25% better

37
Q

Gatorade is 25% better

A

Deceiving by
omitting
information

38
Q

Size of sample

A

Make sure a
study has enough
participants to draw
conclusion- also known as a
fallacy of generalization

39
Q

Make sure a
study has enough
participants to draw
conclusion- also known as a
fallacy of generalization

A

Size of sample

40
Q

Date of sample

A

the date of a study is
acceptable- this will depend
on the subject

41
Q

the date of a study is
acceptable- this will depend
on the subject

A

Date of sample

42
Q

According to a survey, only 2%
of 19 year olds had broken the
law at least once by the time
they are 18

A

unreliable statistics

43
Q

After surveying a class of fifth
graders from a grade school in
Westmount Montreal, it was
found that half the students in
the class had tried smoking pot
at least once. Therefore,
marijuana is not dangerous for
children.

A

proving one thing concluding another

44
Q

A survey was given to Westmount
children asking them what their
extracurricular activities were.
67% answered that they took
private music lessons on a weekly
basis. From this, one can see
that Quebec children have plenty
of money to take advantage of
music lessons.”

A

biased sample