Wine and Violent Crime - It's not what you think.

For no other reason than this highly amuses me, I bring you a graph of wine consumption versus violent crime rates. If everybody would just drink more wine we would all be better off. Thankfully, we have Black Box wine, a wonderful invention and great improvement over box wines of the past.

A great new web 2.0 service called Swivel launched today. People from all over the world can upload data and compare one thing (like wine consumption) to another (like violent crime rates). How exactly will I use this in my daily life? Well, I probably won't. But for people into that sort of thing, it seems like a great leap forward for the sharing of information. What will we, as a global community, do with that information?

For a more technically competent review of the new service, check out the post on TechCrunch.


Anonymous said…
I've bookmarked the site. It looks interesting.
Anyways, I should go get some wine, ha,ha..
Kathy said…
This is great!

Next, I'd like to know if any major societal trends show a relationship to the vastly improving quality of the wine sold in boxes!

the Fly by Night Sailor
Unknown said…
Thanks for the post. "Great leap forward" is a lot to live up to, but we'll try. Even if you're not into "that sort of thing," come by to kick the tires and give us your honest feedback.

Open Source rules:

Dmitry Dimov
Product Chief & Cofounder
Anonymous said…
Hi Kat,

Very interesting to say the least. However, when looking at comparisons of data it is important to remember that there's a big difference between correlational relationships and causal relationships. For example, as I got older I drank more milk and got taller, but I didn't get taller because I drank more milk. It's like the alcoholic who boasts, "But as long as I drink alcohol I'll never have worms."

And for the record, I just had two glasses of wine, so...

Dr. Bill Emener
Unknown said…
Hi Dmitry and Dr. Bill,

Great site Dmitry. It reminds me of freakonomics (which I know I'm not spelling right).

I suppose you can find a correlation between (or what appears to be a correlation) any two sets of data.

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