This analysis shows a very strong correlation between chocolate consumption and 
intelligence;
could we make a graph of those involved in this discussion? 
IQ scores vs. chocolate consumption? :P

http://www.nejm.org/doi/full/10.1056/NEJMon1211064

Kathy Darrow
Phoenix, AZ

On Oct 11, 2012, at 8:47 AM, ling huang wrote:

> Re: 'BTW, for your story about the cat: In a statistical sense, the head 
> predicts the tail.  Quite a difference from the head causes the tail.'
> 
> Unless the cat is walking backwards. 
> 
> It is the word causation that is the problem. X is positively associated with 
> Y does not mean (and never means /or proves) X causes Y. Also note the need 
> for confidence bands and sample size determinations (or at least how many X,Y 
> pairs were used) in concluding there is even a relationship. How many years 
> and look at how much data was needed in the smoking/lung cancer relationship, 
> never mind causation. 
> 
> Ling
> Ling Huang
> Sacramento City College
> 
> --- On Thu, 10/11/12, David L. McNeely <[email protected]> wrote:
> 
> From: David L. McNeely <[email protected]>
> Subject: Re: [ECOLOG-L] correlation v. causation
> To: [email protected]
> Date: Thursday, October 11, 2012, 6:27 AM
> 
> ---- Miles Medina <[email protected]> wrote: 
> 
>> 
>> Also, I would add, in response to a comment above.. someone said
>> correlation implies causation. Yes it may, of course, but let's not forget
>> that there could be a third variable that causes the two correlated ones
>> originally in question. 
> 
> I believe that the meaning of what was originally stated was that correlation 
> suggests a possibility, not that it implies or infers causation.  Certainly 
> we all know about the false reasoning that allows us to believe in causation 
> due to correlation, when the relationship is simply coincidental.
> 
> BTW, for your story about the cat: In a statistical sense, the head predicts 
> the tail.  Quite a difference from the head causes the tail.
> 
> David McNeely

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