week 1 Flashcards

(15 cards)

1
Q

What is the primary difference between causality and causation?

A

Causality is the framework we use to understand cause and effect, while causation is the actual event.

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2
Q

What does the term “causation” refer to?

A

The actual relationship where one event causes another.

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3
Q

Which of the following is required for causation?

A

The cause must occur before the effect.

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4
Q

What is a key characteristic of “causality” that makes it different from causation?

A

Causality helps us understand the necessary conditions for one event to affect another.

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5
Q

What is a cause in the metaphysical sense?

A

A reason for why something happens or changes.

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5
Q

Which of the following tools are commonly used to model causation?

A

Structural equations.

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6
Q

According to epistemology, how do we identify a cause?

A

By observing the effect and reasoning backwards.

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7
Q

What is the “temporal priority” criterion for identifying a cause?

A

The cause must come before the effect in time.

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8
Q

Which of the following is NOT a necessary condition for a cause?

A

The cause and effect must always be observable.

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9
Q

What role do causal models play in understanding cause-and-effect relationships?

A

They are tools used to map and test the relationships between variables.

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10
Q

What is the “New Riddle of Induction” proposed by Nelson Goodman?

A

It challenges whether we can use past observations to justify future predictions.

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11
Q

In Goodman’s riddle, what do the terms “grue” and “bleen” represent?

A

Imaginary terms to challenge the validity of generalizations.

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12
Q

According to Goodman, why is “green” a more reliable term than “grue”?

A

“Green” has been used for a longer time, making it more entrenched in predictive reasoning.

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13
Q

How do explanation and prediction work according to Hempel and Oppenheim?

A

Explanation and prediction are closely related, both relying on laws and facts.

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14
Q

Why is the ability to predict considered an important feature of scientific theories, according to Hempel and Oppenheim?

A

It reduces the number of assumptions needed to explain or predict events.

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