For instance, searching for "psychology" to get the ranking of states for
google searches found these correlations with their standard set:

Intriguing, more searches for psychology is negatively correlated with
suicide. 

Metric    Correlation with psychology
Density    0.76 (Positive, strong)
Longitude    0.62 (Positive, moderate)
VotedForObama    0.59 (Positive, moderate)
Age    0.37 (Positive, weak)
Income    0.32 (Positive, weak)
Unemployment    0.28 (Positive, weak)
PercentElderly    0.26 (Positive, weak)
Rainfall    0.24 (Positive, weak)
SameSexCouples    0.15 (Positive, very weak)
LifeExpectancy    0.11 (Positive, very weak)
Latitude    0.07 (Positive, very weak)
Illiteracy    0.07 (Positive, very weak)
Obesity    0.05 (Positive, very weak)
ViolentCrime    0.02 (Positive, very weak)
Frost    -0.01 (Negative, very weak)
InfantMortality    -0.03 (Negative, very weak)
HighSchoolGrad    -0.31 (Negative, weak)
EnergyConsumption    -0.37 (Negative, weak)
Area    -0.53 (Negative, moderate)
VotedForBush    -0.58 (Negative, moderate)
Suicide    -0.66 (Negative, moderate)

Where does your state rank in searches for "psychology"?
U.S. State    Relative rate of
search queries for psychology
by users in this state
Pennsylvania      100.0
New York      96.0
Massachusetts      93.0
Maryland      91.0
Michigan      91.0
Indiana      89.0
California      88.0
Vermont      88.0
Illinois      88.0
North Carolina      88.0
Connecticut      85.0
Iowa      83.0
Rhode Island      83.0
New Jersey      82.0
West Virginia      81.0
Minnesota      81.0
Kentucky      81.0
North Dakota      80.0
Wisconsin      79.0
Missouri      78.0
Delaware      77.0
Florida      77.0
Georgia      76.0
Tennessee      76.0
Ohio      76.0
New Hampshire      75.0
Hawaii      75.0
Mississippi      73.0
Virginia      72.0
New Mexico      72.0
Nebraska      72.0
Kansas      72.0
Texas      71.0
Maine      71.0
Oregon      71.0
Arkansas      70.0
Louisiana      69.0
South Carolina      69.0
Colorado      68.0
District of Columbia      68.0
Alabama      66.0
Washington      66.0
Oklahoma      66.0
Utah      66.0
South Dakota      66.0
Montana      65.0
Arizona      64.0
Idaho      63.0
Wyoming      62.0
Alaska      58.0
Nevada      52.0

-- 
Paul Bernhardt
Frostburg State University
Frostburg, MD, USA


On 12/6/08 5:38 AM, "Allen Esterson" <[EMAIL PROTECTED]> wrote:

> On 5 December 2008 Chris Green posted:
>> Wow. Who knew that (Googling) Toronto was so politically divisive?
>> Check out the largest positive and negative correlations.
>> http://statestats.appspot.com/?q=toronto
> 
> Quote on the webpage in question: "Be careful drawing conclusions from this
> data."  :-)
> 
> Stephen Black please note. :-)
> 
> Allen Esterson
> Former lecturer, Science Department
> Southwark College, London
> http://www.esterson.org
> 
> ***************************************************************************
> ***************
> [tips] Social network effects: for real?
> sblack
> Fri, 05 Dec 2008 08:14:25 -0800
> Much excitement in the news about a study just published in BMJ (British
> Medical Journal):
> 
> Dynamic spread of happiness in a large social network: longitudinal
> analysis over 20 years in the Framingham Heart Study
> 
> James H Fowler and Nicholas A Christakis. BMJ 2008 337: a2338
> Full text at http://www.bmj.com/cgi/reprint/337/dec04_2/a2338
> 
> Conclusion:  "People“s happiness depends on the
> happiness of others with whom they are connected."
> 
> which, of course, is a causal conclusion.
> 
> But lesser attention appears to have been paid to another study published
> simultaneously in the same issue:
> 
> Detecting implausible social network effects in acne, height, and
> headaches: longitudinal analysis
> 
> Ethan Cohen-Cole and Jason M Fletcher. BMJ 2008;337:a2533
> Full text at http://www.bmj.com/cgi/reprint/337/dec04_2/a2533
> 
> They found that a friend“s acne problems increased one's own acne
> problems,  a friend's headaches increased one's own headaches, and a
> friend's height increased one's own height.  Given the first two, it
> seems one is better off without friends.
> 
> Their conclusion: "Researchers should be cautious in attributing
> correlations in health outcomes of close friends to social network
> effects, especially when environmental confounders are not adequately
> controlled for in the analysis"
> 
> Now see the first study again.
> 
> Stephen
> 
> ---
> To make changes to your subscription contact:
> 
> Bill Southerly ([EMAIL PROTECTED])


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