"Correlation does not = causation"
---> I get this concept. However, what method is used to check that A cause B?? In your example:
"To see wether he is right, we will need to see the change, if any, when people enter and leave the religion. A special phenomenon of hosptital is that people tend to leave the hospital as a healthier person. This is not applicable to religion as they claim that only those who are sick will leave.
The other phenomenon is that people who is entering the hospital tends to get heathier. Now THIS, is observable."
This is observable, but could it be interpreted as correlation also?
And back to the beginning question: "conclusive" means a certain hypothesis have a large enough sample that supports it? |