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Psychology - Causation

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Total cards: 8•Content version: v3•Public deck•Updated: 8/1/2026

Card preview (8)

#1
Front (Question)

Humans infer causation in many scenarios so what…

Back (Answer)

statistical computation are they doing in their mind

#2
Front (Question)

Example of dataset for causation study

Back (Answer)

drug causes headaches?

#3
Front (Question)

Percentage(Effect/ Cause) disadvantages

Back (Answer)

ignores cases where cause is absent. Are they higher or lower. Confuses causation with correlation

#4
Front (Question)

P(E/C) advantages

Back (Answer)

easy to compute. Causes should increase probability of effects. Reflect basic causal reasoning

#5
Front (Question)

Delta p advantages

Back (Answer)

subtract the base case where causes not present. Works for preventative relationships too

#6
Front (Question)

Delta p disadvantages

Back (Answer)

delta p very sensitive to base case. Eg. Normal population versus hangover population. Humans not like this. Doesn’t treat sample size

#7
Front (Question)

Cheng’s Causal power model advantages

Back (Answer)

divide delta p by 1-base case which is maximum possible cases

#8
Front (Question)

Causal power model disadvantages

Back (Answer)

study shows people somewhat sensitive to base cases. People also do broader reasoning about plausibility of causation. Still no account of sample size