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stop with the racist bullshit up there.
if you didn’t see Common Sense’s comment the first time, here it is: CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION
CORRELATION DOES NOT EQUAL CAUSATION wake up, geniuses..
The president and first lady are not concerned about being invited to those children’s wedding. How ludicrous to have made up “sources say”.
i can say that David Archuleta has some great potential. all he need is more epxerience,
i haven’t been on the silicon valley but i would really love to visit that place. i bet that it is a very exciting place to visit-
Yayyyy. Ecology is ok but we don’t go in the field nearly enuogh and lectures are pretty damn boring. Nothing like good old AP Enviro. Man I miss DHB and Walters too. Haven’t talked to them a while, though last time Walters wrote me an email he referred to me as a billy goat. Salamanders are pretty sweet this was probably the first time I’ve seen one up close too.I think blogging might actually be conducive to my good health (as oppose to google reader, which just sucks up time and make me feel bad). Might get around to finally getting a D90 soon too.
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I’m doing something of the same interest and will be taking note on this .Many thanks.
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Deference to op , some good selective information . “Consider that this day ne’er dawns again.” by Alighieri Dante.
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Couldn’t have said it better myself.
Very intresting article! Thanks for sharing this with us!
Why is it so hard to find a decent haemorrhoid treatment. I’ve had haemorrhoids for the past eight months on and off, they go away but then come back. I am actually getting more exercise.
Data inherits its octvbjieity from those who collect and present it. If that process is done honestly and with reasonable completeness, then yes, the data is objective, and can be considered fact which is the word I actually used, for this exact reason.In this particular case, cotton production in 2008 is irrelevant, thanks to slavery being ended and agriculture largely mechanized it has no relevance to population distributions today. But cotton production in 1860 does, because poverty and hostility made it unlikely that southern ex-slaves and their families would redistribute themselves around the South. The ones that migrated, and there were many, left the South altogether, especially in the early 20th century as industry opened up jobs in the urban north, and destroyed jobs in the agricultural south.It is this chain of reasoning that is being tested by the graph above, and while not perfect, the correlation is pretty good.So where, in this analysis, is the racism, or the non-objectivity? Is it wrong to even ask questions about a group of people who identify themselves as belonging to a particular race? Is it wrong to look at a map of electoral results and wonder why?
Awesome story indeed. I’ve been awaiting for this update.
Dear Dr. Kristi, I have this terrible fear of bald pepole. Particularly bald old men. They seem to be everywhere these days! How do you suggest I deal with this issue?
Informatieve bericht. Ik heb je 6 minuten geleden een mailtje gestuurd, kan je die beantwoorden?
Thank you for the blog. I usually don’t bohetr to read blogs but when it comes to learning something I sure will.My question is on correlation not being causation. Let us say we know there is a strong correlation between two variables in healthcare setting and we really want administration to act on it, as a quality and process improvement specialist who has timelines to improve processes, how would I be able to statistically show a causation? This would be starting a research project. I usually look at the literature to see if the correlation has already been proved to be true. But if I don’t find anything out there, could monitoring the correlation over an acceptable period of time prove a causation if the variables are strongly correlated (ie go up and down together)? Thank you
Of metric, model, and sluimtus. Not a bad discussion of what it means to estimate the impact of the sluimtus. But I think what gets lost here is that the difficulty of estimating the effects of a policy is not an argument against the policy.To use the caddy hypothetical, he knows the golfer is 150 yards way, he knows on average the golfer hits 150 yards with the 7-iron therefore suggesting the 7 is the rational policy. Suppose the golfer normally uses the 5 which only yields 50 yards and would have without the suggestion from the caddy. It’s sensible for the caddy to argue his suggestion brought the golfer 100 yards closer to the hole than he otherwise would have been.The debate is given away when the author acknowledges that the range of multipliers goes from 0.4 to 1.5. In other words sluimtus works in a slack economy. How much it works is another question. If the coherent arguments against sluimtus carried real support, the range of multipliers would at least go down to 0 if not negative.
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