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Consumer Fraud

In: Culture

19 Jan 2010

Who is getting duped and how.

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Michael Deal has produced an impressive assortment of diagrams and charts examining the Beatles’ music and careers.

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Nowandnext.com has a number of interesting timelines. Thanks to Sam Freund for pointing them out!

Trends and Technology (2010-2050):
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Innovations (1920-2050):
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Extinction timeline (1950-2050):
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Projected 2018 change in US employment levels by sector. A questionable analysis at best. nobody has a clue. (via The Big Picture)

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A very nice treemap presentation — you can drill down by year and company level. Clicking on a company box will bring up their own comments on compensation policies. Well done WSJ!

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Forecasts for economic growth.

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Thanks to Joe Mako for the heads up.

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The evolution of Crayola Crayon Colors. Related article. Thanks to Stephen Von Worley for bringing it to my attention.

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Crazy amount of damage. and Haiti wasn’t in very good shape to start with. I’ll keep adding finds to this same post as I come across them.

I kept hearing that the shipping port was out of commission and was wondering what exactly that meant. Here it is. (via Washington Post print edition)
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Damage zone and location of aftershocks :
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Faultlines, cities, population density, shaking:
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Annotated map:
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Zoomable satellite map of Port-au-Prince from 10:30 Wednesday:image

NYT side-by-side before and after satellite pictures:
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Map of logistical challenges hampering relief efforts:
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Earthquake primer with details on Haiti’s plates:
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I was excited at first, but the colors seem mostly for decoration and only indicate band member changes. (via)

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Eager eyes has an excellent article that lays out the problems with pie charts, and includes suggestions on how to avoid some of the more glaring issues.

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Maps of the different languages spoken in the USA. Via a discussion at Sociological Images which also critiques the methodology a bit.

Spanish:

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French:
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English:
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You can also do side-by-side comparisons. French vs Spanish in New York:
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Percent of departures canceled or delayed during the holidays year-on-year. Two problems with this one: Why show an increase in delays as a reduction in the volume of the containers? And the comparison is pretty much useless without factoring the weather in somehow – especially if you’re trying to use the results to analyze new security measures.

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Took me a second to grasp, but I like it.

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