April 2nd, 2012 at 6:51:33 AM
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ever equal causation or can it only imply it?
April 2nd, 2012 at 8:51:02 AM
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What?
First of all, correlation does NOT imply causation, that's the whole point of the saying.
Second, while we can measure correlation with a statistic, I don't think we can measure causation. So how would they be equal?
First of all, correlation does NOT imply causation, that's the whole point of the saying.
Second, while we can measure correlation with a statistic, I don't think we can measure causation. So how would they be equal?
Wisdom is the quality that keeps you out of situations where you would otherwise need it
April 2nd, 2012 at 8:58:59 AM
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I thought they were inversely proportional ! ?
April 2nd, 2012 at 9:28:06 AM
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Quote: dwheatleyWhat?
First of all, correlation does NOT imply causation, that's the whole point of the saying.
Second, while we can measure correlation with a statistic, I don't think we can measure causation. So how would they be equal?
I'm not talking about the "saying"....the question is, can the correlation of 2 variables = causation?
as to your statement of "correlation does NOT imply causation" I think a better statement would be correlation does NOT AUTOMATICALLY imply causation
April 2nd, 2012 at 10:16:44 AM
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Yes, correlation can mean causation, but the fact that two variables are collarated does not necessarily mean that one causes the other.
In certain cases the causation is obvious and there is consensus about that.
In other cases, causation is often the subject of debate especially in areas like econimics and social sciences.
But even in other areas like medicine and health, correlation does not necesarily mean causation.
I think many scientists make the mistake of attributing causation when they find correlation.
This is especially wrong when they take existing data and they look into them to find correlations between many different variables and when they find correlation they try to attribute causation according to what makes sense to them. It is inevatable that in any set of data of a population there will be some correlation in some of the variables, some times this will be just pure chance.
It is a completely different scenario when a scientist has a hypothesis based on a theory and then he does the test and checks for correlation on the variables based on his theory, to confirm it or not.
In certain cases the causation is obvious and there is consensus about that.
In other cases, causation is often the subject of debate especially in areas like econimics and social sciences.
But even in other areas like medicine and health, correlation does not necesarily mean causation.
I think many scientists make the mistake of attributing causation when they find correlation.
This is especially wrong when they take existing data and they look into them to find correlations between many different variables and when they find correlation they try to attribute causation according to what makes sense to them. It is inevatable that in any set of data of a population there will be some correlation in some of the variables, some times this will be just pure chance.
It is a completely different scenario when a scientist has a hypothesis based on a theory and then he does the test and checks for correlation on the variables based on his theory, to confirm it or not.
April 2nd, 2012 at 10:16:48 AM
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Correlation is a number. Causation is a concept. No, one cannot be equal to each other, that just does not make any sense.
Also, correlation does not imply causation period. Automatically or otherwise. The implication goes the opposite way.
Also, correlation does not imply causation period. Automatically or otherwise. The implication goes the opposite way.
"When two people always agree one of them is unnecessary"
April 2nd, 2012 at 10:21:49 AM
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It would be impossible for causation to exist without 2 variables being correlated, i.e. correlation is necessary for causation. So... of course the correlation of 2 variables CAN '=' causation.
In this context, the word imply means 'to involve by logical necessity'. The necessity is obviously not there, so saying 'does not automatically imply' is painfully redundant.
To get back to the original question, "yes" (and how could it be anything but yes?)
In this context, the word imply means 'to involve by logical necessity'. The necessity is obviously not there, so saying 'does not automatically imply' is painfully redundant.
To get back to the original question, "yes" (and how could it be anything but yes?)
Wisdom is the quality that keeps you out of situations where you would otherwise need it
April 2nd, 2012 at 10:36:07 AM
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You are certainly entitled to your opinion. But emperical evidence can be sited to prove you are wrong.
April 2nd, 2012 at 10:49:23 AM
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the point of this thread was just to bring up a debate that I was having with someone.....where they made a statement of correlation=/=causation is always true....
April 2nd, 2012 at 10:51:29 AM
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Not arguing the validity of that statement.
April 2nd, 2012 at 11:05:25 AM
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Correlation between X and Y does not mean X causes Y. However, X and Y can be correlated and X can cause Y.
Smoking and Lung Cancer are correlated, and Smoking causes Lung cancer. Lung Cancer does not cause Smoking, but there is a correlation between lung cancer and smoking.
A correlation is a reason to investigate an underlying mechanic or phenomena, and is a start, not an end.
Smoking and Lung Cancer are correlated, and Smoking causes Lung cancer. Lung Cancer does not cause Smoking, but there is a correlation between lung cancer and smoking.
A correlation is a reason to investigate an underlying mechanic or phenomena, and is a start, not an end.
"Then you can admire the real gambler, who has neither eaten, slept, thought nor lived, he has so smarted under the scourge of his martingale, so suffered on the rack of his desire for a coup at trente-et-quarante" - Honore de Balzac, 1829
April 2nd, 2012 at 11:51:36 AM
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The usual example given is the number of storks observed in an Austrian village's bell tower and the number of babies born in the village: no matter how many hundreds of years there has been a direct 1:1 correlation this is not to be considered proof of causation!Quote: vert1276ever equal causation or can it only imply it?