Archive: Feb 2009

What Works

As you may recall from last week’s post on the death penalty, the use of the death penalty is not a deterrent to murder. Today in the New York Times, an article by Ian Urbina focuses on the fiscal reality of the death penalty citing a study done by the Urban Institute along with proposed legislation to get rid of the death penalty to help states meet their budgetary goals. “The Urban Institute study of Maryland concluded that because of appeals, it cost as much as $1.9 million more for a state prosecutor to put someone on death row than it did to put a person in prison. A case that resulted in a death sentence cost $3 million, the study found, compared with less than $1.1 million for a case in which the death penalty was not sought.”

What works about the graphic is the combination of bars with numbers. Basically this is just a spreadsheet with some bars next to the costs. For those of you social scientists out there who have grown fond of your tables, think about adding bars with interval level data (like costs and population).

What Needs Work

The bars should also appear in the last row on the table where the totals are displayed if this bar-in-table trick is going to work. I can see that the graphic would have had to stretch to accomodate the $3m bar, but the visual effect of having the whole table stretched to fit that bar would have been powerful. As it is, the visual impact of the bar technique is not fully realized.

Relevant Resources

Roman, John; Chalfin, Aaron; Sundquist, Aaron; Knight, Carly; and Darmenov, Askar. (1 March 2008). The Cost of the Death Penalty in Maryland. Washington, DC; The Urban Institute.

Urbina, Ian. (24 February 2009) Citing Cost, States Consider End to Death Penalty. The New York Times, US Section.

Necessary Background

This visualization is going to take a bit of explaining. Mapping the internet is a question that has intrigued folks who are worried about internet security, the digital divide, robustness, even artists who just wonder about all those bits of information flowing around us.

This visualization attempts to describe the structure of the internet as a network, not to map its black holes, censorship holes or describe actual geographic nodes like Akamai in yesterday’s post. This is a different sort of map and it requires some background reading. The authors set up a strategy for exploring the network terrain of the internet that generated these three areas – the central nucleus area consisting of the most highly connected nodes, a fringe around the edges of a whole bunch of pages that would be cut off completely if the nucleus were removed, and then a sort of spongy area in between these extremes full of nodes that could connect to each other if the nucleus were removed but not nearly as efficiently. Call it the peer-to-peer zone.

Here’s how the authors described the process that generated the three classes of nodes:

First, we decompose the network into its k-shells. We start by removing all nodes with one connection only (with their links), until no more such nodes remain, and assign them to the 1-shell. In the same manner, we recursively remove all nodes with degree 2 (or less), creating the 2-shell. We continue, increasing k until all nodes in the graph have been assigned to one of the shells. We name the highest shell index k max. The k-core is defined as the union of all shells with indices larger or equal to k. The k-crust is defined as the union of all shells with indices smaller or equal to k.

Even if you don’t spend your days dividing networks into k-shells, I hope you now understand that this model’s strength comes from the fact that the structure was generated rather than imposed by initial assumptions. There were no initial assumptions.

What Works

Success here is that people who do not study networks can understand what these researchers did at all. Most highly specialized research (and pretty much all research is highly specialized) only makes sense to the people occupying the sub-sub-discipline actively working on those questions, equipped with the right language, fully immersed in the discourse of the niche. That would have been true if I had just tried to read this article without the accompanying image.

I also think it helps immensely to see the sketchy, comparatively unglossy schematic along with the polished final image. The glossy version adds in enough detail that I might have missed the big picture without having the schematic there to remind me that it isn’t about color or distance – that the contribution is all about the three types and their relationship to one another.

What Needs Work

Similar problem with this image as I had with yesterday’s image: the final image is so glossy and sealed that I feel like it’s hiding something. The more gloss on an image, the more it becomes impenetrable to critique. It presents itself as hermetically sealed – how can anyone get under the skin and assure themselves that this is a trustworthy image? This glossiness of the final image is probably why the schematic has so much appeal. It’s easier to see how the two were put together and *why* it is the way it is.

Aesthetically, I am not sure I like the colors and I think I would have tried to achieve the look of a solid core, a very fringe-y outer layer that has more volume but is almost insubstantial in its lacy-ness, and then a middle layer that sort of looks like a network made of jello. It is so easy to say these things when you don’t have to kill yourself in photoshop and illustrator making them happen.

Note

[There is another post on Graphic Sociology about mapping the internet about visualizing the map of an individual site which is here.]

Relevant Resources

Carmi, Shai; Havlin, Shlomo; Kirkpatrick, Scott; Shavitt, Yuval; and Shir, Eran. (2007) “A model of Internet topology using k-shell decomposition” Proceedings of the National Academy of Sciences of the United States of America.

Moskowitz, Clara. (11 April 2008) Black Holes Charted on the Internet. msnbc.com, Technology and Science.

Reporters Without Borders (2007) Internet Black Holes.

Wachowski brothers (directors, writers) The Matrix.

Internet Traffic

This week we’re going to have a look at the internet. Here are two reasons why:

• 1. The not entirely superficial reason is that there are many great visualizations out there dealing with the internet, internet traffic, internet usage patterns, and so on. Many are interactive so you can play around with them yourselves.
• 2. The larger theoretical question about studying the internet and online behavior goes something like this: How much is people’s online behavior reflective of their offline behavior? Are people role-playing when they’re online, trying out personas they may not fully embrace offline (see Sherry Turkle)? Or is online behavior seamlessly integrated with offline behavior? We IM the people we’re about to have dinner with indicating that the people we talk to online are just about the exact same people we talk to offline? And if the relationship between online and offline behavior is somewhere between these two, how can we figure out just what is going on?

What Works

The graphic above is just a screen capture from Akamai’s site. In order to get the full impact, you have to click through and play around with it. Akamai has a slew of other visualizations you can play with that deal with network attacks, latency/network failure, retail data, news traffic, and so on.

Just to be clear, Akamai is a private company providing web-optimization services. In their shareholders’ quick facts, they say they serve up 10-20% of global internet traffic. What does this mean? It’s easy to forget that the internet requires physical structures, but this is part of what Akamai does. They maintain “40,000 servers in 70 countries within nearly 950 networks” all over the world slurping up electricity and information at about equal rates. The reason they do this is because if you are, say, a blogger in New York and you store your files on a server just down the hall (which is unlikely, but play along), if someone in Singapore wants to read your blog, the request is going to have to come all the way from Singapore to the server down the hall from you in New York and then the files will have to be sent all the way back to Singapore. This takes time, there might be network congestion along the way and if you are serving your readers in Singapore something a bit more bandwidth intensive than text (say a little clip of a new car racing around a track or a high quality music download) the person in Singapore may just lose interest before they even get the whole file. Akamai gets around this in part by duplicating files and storing them on servers all over. So if your reader in Singapore wants to access your site and you’re an Akamai customer, they will end up pulling those files from a server much closer to them, maybe in Singapore, but at least somewhere much closer than New York. Akamai’s clients tend to be Fortune 500 companies with global client bases and companies that rely on being able to transfer heavy files reliably and quickly (like music and software downloads). They do more than just the physical infrastructure, they mobilize their resources to detect net attacks, congestion, and then to re-route and avoid those things. The bottom line for us is that they make some of their knowledge of the ‘net available in these visualizations like the one above.

What Needs Work

I would love to have more granularity and access to the actual numbers and the methodology. All these shiny interactive graphical toys run the risk of being too glossy, not data-transparent enough.

Not as Shiny, Quite Helpful

These two graphs give a quick overview of who is using the internet by geographical location. You’ll see that rates of traffic can be a bit misleading – not all continents have the same population. That’s why I included the rate of internet penetration within the continents. A low rate of penetration tells you a lot about how the digital divide which is a very real problem. More on that later this week when we will address the digital divide directly. For now, it’s enough just to notice the difference in looking at the flashy, glossy Akamai graphic and the simple bar graphs. I don’t know about you, but I quite enjoyed playing with the Akamai graphic and encourage interactivity. Still, the combination of these two bar graphs above gave me a clearer answer to the big question about who in the world has access to the internet in the first place.

Relevant Resources

Akamai – Data Visualizations

The Berkman Center for Internet and Society at Harvard University School of Law.

Deibert, Ronald, Palfrey, John; Rohozinsky, Rafal; and Zittrain, Jonathan (2008) Access Denied: The Practice and Policy of Global Internet Filtering Cambridge, MIT Press.

Internet World Stats

Turkle, Sherry. (1984) The Second Self: Computers and the Human Spirit Cambridge, MIT Press.

For those of you who aren’t watching the Oscars (or, in fact, maybe especially for those of you who are), I send some statistics your way on a Sunday evening. It doesn’t fit with a theme and there’s no way it’s going to be as popular as the blog about marijuana arrests in New York City. (Note that like any curious person, I fully intend to test my hypothesis that writing about drugs is more popular than writing about sex. Coming soon is a blog about measuring marital infidelity, an historically slippery subject that has generated competing statistics and tends to say more about survey methods than about sexual habits.)

But for tonight, I am sending you to a surprisingly emotional essay by Stephen Jay Gould on the trouble with reducing statistics to the central tendency. Yes, I said emotional. And then I said ‘central tendency’. What, you may wonder, can get your cold hearts pumping while talking about how to measure the central tendency? In a word? Cancer. In a few more words? A life expectancy delivered in terms of a right skewed median of 8 months.

He uses his own biography to make a broader point about the general tendency to divorce the intellect from the emotions: “Many people make an unfortunate and invalid separation between heart and mind, or feeling and intellect. In some contemporary traditions, abetted by attitudes stereotypically centered on Southern California, feelings are exalted as more “real” and the only proper basis for action – if it feels good, do it – while intellect gets short shrift as a hang-up of outmoded elitism. Statistics, in this absurd dichotomy, often become the symbol of the enemy.”

logic + love = the well-lived life? These are the questions I don’t even try to answer, it’s why I do sociology, not philosophy.

Seeing Skew

Just to refresh your memory on skewness, here’s a visual reminder of what’s at stake. Refer back here when Gould talks about the many people who aren’t diagnosed with the type of cancer he had until they die, stacking the left side of the graph high with cases of life expectancy equal to zero and creating a right-skewed life expectancy.

Epilogue: Gould is no longer alive, but he didn’t die of the cancer in this essay. He lived for another 20 years and died of a different cancer at age 60.

Relevant Resources

Gould, Stephen Jay. (1985) The Median Isn’t the Message currently reposted all over the blogosphere, but originally published in Discover Magazine in 1985.

The Story From Across the Pond

There are so many stories that get played out on the legal stage and the stakes are highest when death is involved. I found two graphics each of which attempted to provided an overview of the death penalty in America. We start with the view from London (though the writer of the article was in New York while he was writing).

The graphic they’ve come up with over at The Independent does a great job of summarizing the story of the death penalty in the US. The best part of this graphic is the right-most graph showing that the states with the death penalty started with lower murder rates and *still* have lower murder rates than those states that have the death penalty. Murder rates in both types of states change over time, but those changes seem to be largely independent of the death penalty. Great way to show that the death penalty does not make a good deterrent.

One last notable point from this article is that the graphic seems to do a better job at representing “just the facts” than the text. From the other side of the pond, the continued use of the death penalty in the US looks, well, barbaric beyond anachronism.

From Usborne writing in The Independent: “China tops the world’s executions league table (officially it used the death penalty 470 times last year, though Amnesty International believes the true figure is far higher), followed by Iran and Saudi Arabia. Among developed industrialised nations, only the US, Japan and South Korea persist in retaining capital punishment. None of the United States’ European allies entertain it nor do its neighbours, Mexico and Canada.”

In case you aren’t accustomed to decoding dry British writing, it is most certainly not a good thing to fall into the same category as China or Iran when it comes to human rights.

The Story from the Backyard

Not to be outdone, the New York Times has also run a number of graphics about the death penalty which is a recurrent topic of popular and academic debate.

Here’s where the difference between the US depiction and the UK depiction starts to stand out. The UK added up all the executions since 1976 which tends to imply a great magnitude of death. There’s a big red 409 over Texas in their graphic and ‘just’ 20 in the NYTimes graphic, because the Times took a statistician’s more favored approach of looking at the number of death sentences per 1,000 murder convictions. This makes it easier to compare state by state data because it acts as a control for population size and murder rate. In this version, Oklahoma, Nevada, and Idaho appear to be more invested in the death penalty than Texas. Don’t mess with Texas becomes don’t mess with Nevada. (I guess what happens in Vegas really does stay in Vegas…but not in a good way).

The NYTimes graphic also looks at the sentencing rates when the race of the victims and perpetrators are the same and when they’re different. The way they’ve simply represented the facts speaks clearly to the continued machinations of racism in America. When whites are the victims, the perpetrators are more likely to be sentenced to death, especially if those perpetrators are black. Look at that part of the chart for a while then think about why the writer from The Independent has such strong negative feelings about America’s death penalty.

The Story from the US – 2003

This post is not about how the general population in America feels about the death penalty – check out some of the death penalty blogs listed below for more on public opinion. I was beguiled by this next graphic because it so simply illustrated ambivalence which is not all that easy. Each block is a case, every case has to have only one outcome with respect to death sentencing, and the designer manipulated this binary to produce a picture of declining conviction. Bravo.

The article’s text offered about five competing reasons for the decline in the rate of death sentences applied, including poor representation. They ended with this one:

“Alan Vinegrad, a former United States attorney in Brooklyn, said the recent statistics represented something larger.

”It reflects that the tide is turning in this country with regard to attitudes about the death penalty,” Mr. Vinegrad said. ”There has been so much publicity about wrongfully convicted defendants on death row that people sitting on juries are reluctant to impose the ultimate sanction.” ”

Relevant Resources

About.com’s list of the Top Ten Death Penalty Blogs. Most are not big on graphics or visuals of any kind.

Amnesty International’s Human Rights Now blog which hosts their posts on the death penalty.

The Death Penalty Information Center

Liptak, Adam. (18 November 2007) Does the Death Penalty Deter Murders? in The New York Times. National Section.
–Including this, ““You have two parallel universes — economists and others,” said Franklin E. Zimring, a law professor at the University of California, Berkeley, and the author of “The Contradictions of American Capital Punishment.” Responding to the new studies, he said, “is like learning to waltz with a cloud.””

Liptak, Adam. (15 June 2003) Juries Reject Death Penalty in Nearly All Federal Trials. National Section.

Usborne, David. (7 August 2008) Why is the United States still imposing the death penalty? in The Independent.

What Works

This is one of my favorite information graphics of all time. A somewhat smaller version of this appeared in the New York Times and was then amended as you see above to appear in Edward Tufte’s book “Beautiful Information”. Since Edward Tufte is seen by many as the king of presenting data visually, I’d say his endorsement is worth far more than mine. Click through the links under Relevant Resources to see what he has to say about this graphic on his blog (which is basically a scan of a page or two from his $52 book). You will also get to see more of Megan Jaegerman’s graphics including the lifecycle of women in the developed world, the price of mowing the lawn, the price of quitting smoking, a complete strength training workout, a guide to rest/ice/compression/elevation after a soft-tissue injury, and sports graphics covering hockey, figure skating, baseball, gymnastics, and diving.

I want you to have time to look at the stylistic conventions she has developed. So follow the first link below.

What Needs Work

Megan disappeared from the graphics scene. Megan, if you’re out there, know that you are missed.

Relevant Resources

Edward Tufte reviews Spotting a Hidden Handgun by Megan Jaegerman.

Tufte, Edward. (2006) Beautiful Evidence. The Graphics Press.

Jaegerman, Megan. (June 1997) Life: Start Here Women’s Health graphic adapted for the web. The New York Times.

What Works

Sometimes simple is powerful. Everything here is well-labeled, the time periods move in even intervals and the source is cited. The point that arrests for marijuana possession have skyrocketed comes across almost instantly.

The graphic is taken from testimony given by Harry G. Levine, Professor of Sociology at Queens College and the CUNY-Grad Center to the New York State Assembly on Codes and Corrections:

“New York City has arrested about 100 mostly young people a day, every day, for the last ten years. By the end of today another 90 to 100 will be arrested. About 85% of the people arrested are Black or Latino, most are working class or poor, from the outer boroughs and from less affluent and poorer neighborhoods.”

What Works

Levine includes this graphic in his testimony to demonstrate the uneven distribution of all these marijuana possession arrests across racial/ethnic boundaries. He is right to make sure to include a little decoder text about the distribution of whites, blacks, and hispanics as percentages of population of New York overall. Remember that in a world of equal arrest rates, whites would be arrested for possession roughly according to their percentage of the population, which is 36% in New York during the 1987-2006 period. But they were only accounted for 14% of the possession arrests. On the other hand, blacks should have been arrested 27% of the time but instead were arrested 54% of the time. Hispanics were the closest to even, representing 27% of the total population and 30% of the possession arrests.

What Needs Work

These stacked bar graphs always confuse people. So here we can use the y-axis to determine absolute number of arrests by racial/ethnic group but in other uses of this technique I’ve seen the bars all add to 100% and the viewer is supposed to suss out the relative proportion of the bar dedicated to the categorical break down. That clearly is not how this graph works, but still, where there is any chance of confusion, more work needs to be done to clear things up. I might have tried a hint of 3D, popping the white bar in front of the grey bar and the grey bar in front of the black bar just so that each bar reads as a distinct entity.

I would also have stuck the arrestee percentages directly next to the population percents. It would look more like:

Arrestees          Population
Blacks     54%     27%
Hispanics 30%     27%
Whites     14%     36%

Simple to do. Makes much more sense to read that data across rows. I would then have stuck the color shading key to the left of that little table and cut the “blacks arrested”, “whites arrested”, and “hispanics arrested” labels which would have cut down on the total amount of text the viewer would have to read through.

Go ahead and click through to the full report to see the other graphics and read the whole story about the astronomical increase in marijuana possession arrests in NYC with the disappointing follow-on that the arrests are being doled out in minority communities disproportionately more often than elsewhere in the city.

One parting quote to provoke you to jump across and read it all, in response to why there are so many arrests so unevenly distributed across the city’s population, “it is not because of any dramatic increase in marijuana use – which has not changed significantly since the early 1980s. Nor is the dramatic racial imbalance in the arrests the result of marijuana use patterns. In fact, marijuana use among Blacks and Hispanics is lower than for Whites, and has been for decades, as U.S. government statistics show. “

One More Thing

If you’re wondering where all the weed comes from, as I was, you might want to link through to the 2007 article “Home Grown” in The Economist via Proquest (subscription required) which notes in classically dry Economist fashion, “Marijuana is now by far California’s most valuable agricultural crop. Assuming, very optimistically, that the cops are finding every other plant, it is worth even more than the state’s famous wine industry.”

Relevant Resources

Becker, Howard. (1953) On Becoming a Marihuana User originally in American Journal of Sociology Vol. 59 November 1953 (235-242).

Dwyer, Jim. (30 April 2008) On Arrests, Demographics, and Marijuana The New York Times, NY/Region Section.

Levine, Harry G. (May 2007) Testimony before the New York State Assembly Committees on Codes and Assemblies.

Schlosser, Eric. (2003) Reefer Madness: Sex, Drugs and Cheap Labor in the American Black Market. First Mariner Books.

Home Grown: Cannabis in California (20 October 2007) in The Economist Vol. 385, Issue 8551 (60).

What Works

This map uses a two color pie chart scheme to represent increases and decreases in violent crime respectively. It also breaks the pie into pieces for added granularity of detail – one for murder, one for forcible rape, one for armed robbery, one for aggravated assault. (also known as mincemeat pie, right?)

What Needs Work

I still think there’s got to be a better way to represent gains and losses on a spectrum. Changing from one color pie to another at zero is a little arbitrary. Three dimensions might help – states with increases in crime could bulge while states with decreases could sink.

I included this graph not so much as a particularly good or bad example of building an info graphic but as a contrast to the previous post. This is a typical depiction of crime mapping. It depicts violent crime by victimization. Most crime coverage focuses on this salacious category – rapes and murders and beatings.

Relevant Resources

Ford, Steve. (2006) Map of Violent Crime in the USA 1978-1998

What Works

The beauty of these graphics is that, given their captions, they are instantly legible. On the left, the map shows where crimes are committed in 1998. It’s a diffuse pattern with a few warm spots. On the right, the map shows where the imprisoned population calls home (2003 data). It’s an image with vivid hot spots amidst a sea that’s mostly dark. In thirty seconds or less, viewers can see that while crimes are committed all over Brooklyn, the population in prison tends to come from a handful of very localized neighborhoods. It would have been easy, and easy on the eyes, to use two different colors for the different maps, but because this idea works as a comparison, it’s important to keep the color scale the same across both images.

These maps are used as tools of analysis and pattern recognition, helping to make data legible both for the public and for the researchers who use these tools not only as tools for publication but also as tools of analysis. They go further, augmenting these maps with finer grained maps as you’ll see if you keep reading.

What Needs Work

A stronger outline of Manhattan would help non-New Yorkers recognize the location immediately.

More Than Critique

This post reminds us that there are many victims of crime. The authors’/graphic designers write, “If crime maps succeeded dramatically in mobilizing public opinion, redefining the city as a mosaic of safe and unsafe spaces, and forcing the reallocation and targeting of police resources on specific neighborhoods, the gains were short-lived. The resulting crime prevention techniques, and the community-policing movement in general, soon reached the inevitable limits of any purely tactical approach. The city spaces that were targeted came safer, but too often crime incidents were simply displaced to other locations.”

Nobody is denying that being mugged or raped or murdered is fun for the person who was mugged or raped or robbed or murdered. But the report by the Spatial Design Lab at Columbia University sponsored by The Architectural League that uses maps as a tool of analysis and discovery to suggest that because perpetrators live in areas with lots of other perpetrators, those entire communities are also the victims, not of the crimes per se, but of the impact of high concentrations of recurrent incarceration. Convicted people go away to prison leaving these neighborhoods with a gender imbalance (only 12% of the prison population is female). The money spent to imprison this largely male population is not being invested in developing these communities. This study finds a block where $4.4m has been spent to imprison its one-time residents. One block, $4.4m.

The authors pose the question their maps have helped make obvious: “What if we sought to undo this shift, to refocus public spending on community infrastructures that are the real foundation of everyday safety, rather than criminal justice institutes of prison migration?”

Relevant Resources

Spatial Information Design Lab at Columbia University (2006) Architecture and Justice sponsored by The Architectural League.

Spatial Information Design Lab Main Page

The Architectural League

Crime and Criminal Justice

The theme for this week, in case you haven’t figured it out by glancing at the graphics, is crime, deviance and justice in these here United States. I thought it would be a nice exercise to see what is available from official sources (ie government agencies). In the US, we’ve got the CIA, the FBI, the Bureau of Justice Statistics, and then lots of state and local agencies. I stuck with the feds here but the rest of the week will look at cities and states as the level of analysis. So far, none of the federal agencies has produced a graphic that tells a comprehensive story about incarceration, crime, and/or justice in the US. I couldn’t even find much about the immense expenditures dedicated to incarceration (in a handful of states, more is spent on criminal justice, including incarceration, than on education). There also were very few graphics dedicated to the differential impact of incarceration practices on poor and minority communities.

CIA

The CIA doesn’t do much with graphics, but this is what they had to say about the US and drugs: “world’s largest consumer of cocaine (shipped from Colombia through Mexico and the Caribbean), Colombian heroin, and Mexican heroin and marijuana; major consumer of ecstasy and Mexican methamphetamine; minor consumer of high-quality Southeast Asian heroin; illicit producer of cannabis, marijuana, depressants, stimulants, hallucinogens, and methamphetamine; money-laundering center”

I would love to see this on a map, especially if the map were able to show how much of our illicit habit, by weight, is made in America and how many people and plants in other countries are dying to stock our habits.

FBI

The FBI doesn’t do much with graphics either, but they had this factoid box:

This is an easy but illogical way to summarize data points. This style of arbitrary ratio style summary misses opportunities to provide context and compelling visuals. X crimes per unit of time seems a strange way to measure; going by victims or convicted criminals by 100,000 people or by percentage of the total population might make more sense. Furthermore, a good information graphic should begin to tell the story at first glance, before you have to read anything. One quick test: if someone who doesn’t speak the language can’t make heads or tails of the graphic, it just isn’t that good. Granted, language is often necessary to pin down the details, but the overall theme should be clear without resorting to text. There’s no way to tell this is about crime in America. Again, I’m always skeptical of these ratio summaries. It’s really hard to understand much about crime by recounting how often it happens. Then smaller populations are going to look safer because crime happens less often even though it might be just as common in terms of the percent of the population who ends up becoming a victim or a perpetrator.

Bureau of Justice Statistics

The Bureau of Justice Statistics had by far the most info graphics though, as you can see, they are all the same style. As for “What Works”, well, it works that they tried to map trends in crime over time graphically. What needs work? Besides the rather uninventive presentation – I think these line graphs are easily understood but so standard in appearance that they risk putting people to sleep – my biggest concern is that there is no overview graphic that tells the whole story. All of these graphs tell one tiny little part of the story and are designed to be read in isolation from all the other graphics. In that sense, they help viewers understand crime and punishment in America about as much as that FBI Crime Clock factoid box does. Information graphics are at their most deceiving when they appear to be depicting simple, straightforward relationships in absence of all the messy real life context that frames just about any problem on the ground.

Just to take one example, the graph showing victims by gender is on the brink of revealing one of the most interesting elements of the bursting incarceration system. Violent crimes are way down but the prisons are bursting indicating that more and more of the people in prison are serving time for property crimes. That’s why I included the arrest rates for drug crimes – the huge majority are for possession, most likely possession of marijuana. It bothers me that I have to throw in little graph after little graph to tell a partial story. I couldn’t even find a little graphic that shows that black folks are far more likely to be arrested for possession than white folks even though white folks are slightly more likely to use (marijuana) than black folks. Community policing gone wrong? Perhaps.

If you know of a graphic that attempts to tell the story of the three-strikes/broken windows policy impacts on incarceration practices all in one image, please send it in and I’ll amend this post and thank you profusely.

Relevant Resources

FBI Crime Clock

CIA World Fact Book – United States

Bureau of Justice Statistics – Key Facts at a Glance