On Wed, Jan 14, 2015 at 9:22 AM, Quentin Anciaux <[email protected]> wrote:

>
>
> 2015-01-14 16:16 GMT+01:00 Jason Resch <[email protected]>:
>
>>
>>
>> On Wed, Jan 14, 2015 at 9:02 AM, Quentin Anciaux <[email protected]>
>> wrote:
>>
>>>
>>>
>>> 2015-01-14 15:39 GMT+01:00 Jason Resch <[email protected]>:
>>>
>>>>
>>>>
>>>> Correlations don't prove causal relations,
>>>>
>>>
>>>
>>> I know all I point out, is that there are now many study done on that
>>> correlation... You can dismiss them..
>>>
>>
>> My point is that correlations themselves (even when proven) are
>> effectively meaningless. Take the supposed evidence that nutritionists used
>> to demonize fat as leading to heart attacks. Correlations where shown
>> between various countries that showed countries with higher fat intake had
>> higher incidence of heart disease. But it was later shown that fat intake
>> in countries was determined largely by the countries per capita GDP. So now
>> you can see the correlational study (which put the blame on fat) could be
>> explained by anything else that correlates with per capita GDP: stress,
>> long working house, consumption of sugar, cigarette use, etc.
>>
>> Think of it this way: if heart attacks correlate with economic
>> development of a country, another study might have been able to show a
>> strong correlation between driving cars and heart attacks (because more
>> cars are owned and more people drive in those countries). But it would have
>> almost certainly been wrong to conclude "Drive less to avoid heart
>> disease". Yet this is the same error that led nutritionists to the bad
>> advice of "Eat less fat to avoid heart disease". Only a controlled study
>> which actually tests the hypothesis can separate mere correlations and true
>> causes. Do we know if cannabis correlates with depression because depressed
>> people seek it to self-medicate? We might observe a similar correlation
>> between depression and SSRI use, but we know SSRIs are used to treat
>> depression, so it makes sense. We don't conclude though that SSRIs cause
>> depression.
>>
>> If your claim is that cannabis causes depression, you need to point to a
>> study that takes two groups of subjects, subjects one group's members to
>> regular cannabis use and another that prohibits cannabis use among members,
>> and then study whether the incidence of depression is higher in one group
>> vs. the other. All science is based on "Observe, Form Theory, Test Theory".
>> It's important that we realize all correlation studies (in all domains) are
>> nothing but the first step "Observe". Forming policies or opinions from
>> formed theories that haven't been tested is asking for trouble. (Just look
>> at the current US and now world health crisis due to moving people to
>> low-fat diets when the only basis was a correlational study (since
>> disproved by controlled testing)).
>>
>>
>>> yet they exists and they seems correctly done... maybe it's
>>> prohibitionist agenda.. I know for myself that I can't control my cannabis
>>> usage and when I was using, I was abusing and that certainly did not help
>>> me at that time... But if you think cannabis abuse is a fairy tale... fine
>>> with me... and if you think it is not, but it has absolutely no side
>>> effect... ok... I won't agree with you but it's your belief... and I've
>>> mine.
>>>
>>
>> I don't see where are you getting this from out of what I said.
>>
>>
> I'm getting at that you don't know the various studies, but you know they
> are bad, and only point out correlation without anything else... well, you
> can be bad faith and absolutely sure cannabis is absolutely safe... ok
> then... but can I ask you studies that shows that too ?
>
>

I said nothing either for or against cannabis use. I only cautioned that
correlational studies cannot be used to draw conclusions ever, in any
domain of inquriy. That's the only point I wanted to make. (I'll retreat
back into the dark now)

Jason

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