I came across this hilarious web site that has charts of bizarre "correlations" between disparate categories. Results like this:

enter image description here

In the spirit of my summer solstice shedding spuriously earned rep. campaign, I pose the challenge of creating a small app. using Mathematica and its built-in data sources (and optionally use of external non-Wolram web data resources) to allow the user to select from various categories of data and have spurious correlations discovered and plotted in a similar fashion.

I'll be adding a 500 rep. points bounty as soon as the system allows, to be awarded either automagically by the system to the highest voted response, or picked by me.

Let the games begin...

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    $\begingroup$ Do Wall Street curves qualify as "spurious correlations"? $\endgroup$ Commented Jun 20, 2015 at 5:02
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    $\begingroup$ @belisarius: Anything goes, so long as it follows the disparate category concept - so stock price of Oracle vs age of Larry Ellison's temporally proximal girlfriend works... ;=} $\endgroup$
    – ciao
    Commented Jun 20, 2015 at 5:52
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    $\begingroup$ I say good luck with ExampleData["Statistics"] as there is no common data format of the data in there. You actually have to read the description and/or column headers to determine how time was recorded. You could find some success with the machine learning and the grammar functions to assist; I think. I've not the time to delve into that. $\endgroup$
    – Edmund
    Commented Jun 20, 2015 at 11:43
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    $\begingroup$ I find this a funny challenge, but after investing a few minutes I came to realize that finding a good datasource (or a set of them) is boring and time consuming. $\endgroup$ Commented Jun 24, 2015 at 17:51
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    $\begingroup$ I'm voting to close this question as off-topic because, despite the many up-votes, more than 100 days have past and no one has found it interesting enough post a answer. $\endgroup$
    – m_goldberg
    Commented Oct 2, 2015 at 22:22