The reason most flus seem to come from East Asia, is that its common to raise both pigs and ducks in this region.
And, the reason that most infections don’t work this way is body temperature. Most viruses are linked to a fairly specific body temperature — and when they jump species they fail in the warmer or colder environment. The difference with the flu is its ability to survive in more than one hosts body temperature range.
Can you tell we’re watching Contagion and Outbreak on TV at our house this month?
First, lynchings were a country-wide phenomenon. There’s a only a handful of states in the northeast that didn’t have any. That also makes me wonder about whether they were reported properly there. Stuff like 8 lynchings in Montana (!!!) is really shocking. When you see that you wonder if it was a message to blacks to just not even go to that state?
Second, lynchings definitely follow state borders, indicating that this was a self-enforcement issue. In particular, Alabama, in the heart of the old South has fewer lynchings than Georgia or Mississippi. To me this suggests that the state authorities in Alabama were more likely to prosecute those involved.
Third, there are also county-level effects. Many counties are clusters of lynchings, while their neighboring counties show few or no lynchings. The “black belt” still exists, and was much denser then, but it isn’t immediately obvious on this map.
JT sent a link to the site Rich Blocks, Poor Blocks. It’s a mashup of 1) Google maps, 2) census tract borders, and 3) median income statistics – all presented as a chloropleth.
It’s an interesting idea, and a great start, but I think it’s of limited usefulness in its current fineness.
I looked over the places I’ve lived: 4 in the Buffalo suburbs, 2 in Tuscaloosa, 1 in Salt Lake City, 2 in New Orleans, and 1 in Cedar City (comprising 9 different census tracts).
What I found was that only 5 of those tracts were homogenous enough to be representative of where I lived. The rest are too large geographically, with borders determined by convenience rather than reality. Perhaps they ought to ask the people going door-to-door where one neighborhood ends, and another begins, instead of telling them from a windowless office somewhere in the D.C. metro area.
One interesting thing I did find is that, apparently I’ve always chosen neighborhoods where my income was well above the median. I’m not sure what that says about me though.
The entire set of budget outlays is laid out in blocks. The cabinet level spending amounts are in big rectangles, and the subdivisions of those are the smaller rectangles on the inside.
What I don’t like about this graph is the emphasis. To me, the primary factor is which spending accounts can actually be cut. It is secondary whether programs have gotten bigger or smaller; what good is it to know that something has gotten bigger when you can’t cut it if you want to.
So, for me, the primary thing to look at is found by clicking on the “Hide Mandatory Spending” button. Click that, and most of the chart goes white. This shows that most of the budget is actually untouchable. Click it again, and it all comes back.
Personally, I don’t like the default coloring. It shows which programs are growing (greener) and which are getting smaller (pinker or even marooner). When you click on the button to show the 2010 budget, the shading goes away. Click back on the 2011 budget button, and the shading does accentuate the blocks that have changed. Cool, but this is of secondary importance.
This graphic is easy to figure out, but the colors bug me (click it to enlarge).
Countries are ordered from smallest to largest, with the blue square indicating the size of the countries GDP.
The countries debt/GDP ratio* is then plotted as a red square, who’s area is the country’s ratio times its GDP. Orange blocks indicate countries who’s debt/GDP ratio exceeds 100%.
This does a good job of highlighting why Greece and Italy are problems. Portugal too. It’s not so good on Ireland (which has gotten better), Spain (which has also gotten better, but not that much), and Belgium (which isn’t really on anyone’s radar screen yet).
Belgium is an interesting story. Maybe they should be a problem that people talk about. But they’ve had an interesting problem: they have a parliamentary government, had an election, no one could form a majority coalition, and they went without a ruling party for almost 2 years. This makes me wonder if no one is worried about Belgium because there was no Belgian government to whine about how awful things were. That’s a scary thought.
* The debt/GDP ratio is a popular, but problematic, measure. National debt is like the balance on your credit card or mortgage. GDP is like the size of your paycheck. You’d never compare the two for a household because the one is a stock variable and the other is a flow variable. For example, my debt/GDP ratio is much higher than the typical student’s because I have a mortgage on a house big enough for a family. It’s better to do a stock to a stock comparison (like debt to assets on a balance sheet) or a flow to a flow as on income statements (like debt payments to GDP). If you dig through the news, the details are always about Greece’s or Italy’s debt payments that are coming due.
FWIW: Contrast this post with the one before it. The video “10 Bullets” advocates knolling: arranging tools on surfaces at right angles. This is advocating something very much like the diagram on the left.
Cornell is actually going to use this fruitfully: next year every transcript will list the median grade for the course. That will help out vast majority of education majors who got A’s in their classes come back down to earth.
I’m a psychic: next year’s version of this graphic will detail how Amazon Video On Demand for members of Prime killed Netflix.
The managerial economics story here is that the marginal cost of streaming a movie is zero, and that competition will push the price towards that level. Amazon, with other source of revenue, can handle that. I’m not sure that Netflix can.
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