‘Superblack’ bird of paradise feathers absorb 99.95% of light
4 Girls 1 Rat
Mods are asleep, Upvote Charlie
Sean Manaea has no hit the Boston Red Sox.
My sister's ridiculously photogenic cat Simba turns 11 today
Mood killer
Roommate is a radiology major and today they x-rayed flowers. Thought you guys might enjoy
You haven't unlocked this area yet.
The recently discovered Giant Squid Nebula in the constellation Cepheus
MRW someone says my custom built jetpack won't work
Prince playing Purple Rain for the first time in front of an audience. They have no idea what they are witnessing. He Kills it.
Rails? Where we're going we don't need.... rails...
TIL that while in Sharon Springs, Theodore Roosevelt was approached by a 12-year-old girl who asked if he would like to have a badger. Expecting to humor her, he agreed, and the girl came back with a 2-week-old badger. President Roosevelt named him Josiah and he became one of the presidential pets.
Fresh Squeezed Lemonade!
Man bit by shark on Kauai's south shore survived a bear attack just months prior
'Male contraceptive pill' successfully limits sperm activity without side effects, scientists find
Near ground level wingtip vortices
I know there are a lot of pictures from Zion National Park on this subreddit, but it’s probably for a reason. Here’s my photo from there, taken last summer. [OC] [3264x2448]
Fallout cosplay
The shape of water
My dog really loves me for me...
U.S. Marines driving through burning oil fields in Kuwait, 1991.
Where boys became men
He grew up so fast!
?? muddy lion ??
Rejoice, he's finally here!
MRW someone says that my custom-built jetpack will not work
Over the past 6 months. He’s grown a little.
Captain Bruce Ballantyne, Patrol commander of T Patrol, the Long Range Desert Group (LRDG), probably taken in the Western Desert, Libya, 1940-43
Fresh Squeezed
Laundry Chomper
Keeping up with the Skywalkers
Just getting some McDonalds
Verne Troyer, best known as Mini-Me in "Austin Powers," has died
Wear something sexier
MARIO & CAPPY- Digital Drawing
I know its not much, but i got my wings yesterday
Verne Troyer prepares for Shark Week
1 OC-Bot Thank you for your Original Content, /u/aaronpenne! I've added [your flair]( as gratitude. **Here is some important information about this post:** * [Author's citations]( for this thread * [All OC posts by this author]("aaronpenne"+title%3A[OC]&sort=new&restrict_sr=on) I hope this sticky assists you in having an informed discussion in this thread, or inspires you to [remix]( this data. For more information, please [read this Wiki page](
10817 RadioactiveSand It's interesting to see that people universally understand that cancer is a problem, but we don't put as much focus on things like heart disease. Possibly because we feel it's often just caused by age or bad decisions whereas cancer can just happen to anyone?
1457 kriswithakthatplays Hmm, looks like cancer and stroke are^(somewhat) fairly represented across the mediums. But heart disease is 30% of all causes of death? Damn. I had no idea. As a 20-something, I tend not to think too much about causes of death. This really puts things in perspective.
1076 aaronpenne **One of the people involved in the original report/data collection is u/owenshen24, and they will [answer your questions here!](** --- Static charts: * Album with the three primary stacked bar charts [shown separately]( * Single image with the three charts [side by side]( * Side by side with connecting lines by u/onlyforthisair in [MS Paint]( Source code: [GitHub (Python 3.6, numpy, pandas, matplotlib, imageio)]( Data: [Aggregated by Owen Shen, et al. from CDC, Google, The Guardian, & New York Times]( --- This animation shows the percentage share of top causes averaged from the Center for Disease Control and Prevention (1999-2016), Google search trends (2004-2016), and headlines from the Guardian and New York Times (2004-2016). The data was collected by Hasan Al-Jamaly, Maximillian Siemers, Owen Shen, and Nicole Stone for their [in-depth write up here]( All credit for the data goes to them. This chart is sorted using the CDC data. The categories stay in that ordering through the charts while the sizes of each category change. Drug overdoses is the unlabelled category between suicide and homicide. I started sharing data visualization, machine learning, and GIS stuff on [Twitter if you're into that]( --- Note: **"car accidents"** in this chart likely should be just **"accidents"** as pointed out by u/mygotaccount >In 2015, the CDC reports that there were 43.2/733.1 deaths due to unintentional injuries or 5.89%, but motor-vehicle related injuries, which are a subset of that, are 1.55%. For comparison, poisoning which also falls under unintentional injuries is 2.01%. Your source for the data lists car accidents as 6.1% (possible rounding error). They have most likely misconstrued all accidents for car accidents. Note on changing the term "car accidents" to the more appropriate "car crashes" by u/nattopan: > While this has been standard nomenclature for decades, recent efforts to reduce the number of traffic-related fatalities have resulted in a shift from "car accidents" to "car crashes." [You can read more about the "crash not accident" movement here]( To be even more accurate when speaking to what was formally known as "car accidents," it is best to use "traffic crashes" or "traffic fatalities," as these terms acknowledge other modes of transportation such as motorcycles, bikes, public transportation, etc. Pedestrian deaths in particular have been skyrocketing in recent years, and it is critical that we include this category in our discussion of traffic fatalities if we are to reverse this trend.
412 imbluedabedeedabedaa You can easily see in the first graph how if we suddenly cured all disease, the vast majority of us would die on the road.
8660 forgive_the_tangent This is awesome, but it would be great to see these three barplots alongside each other rather than animated.   Edit: My top comment on Reddit is about stacked barplots. My boss would be so proud.   Edit2: Thank you for the gold kind stranger!
706 Naritai While the animation does a nice job of emphasizing that there is a large difference between the 3 cases, it makes it incredibly difficult to actually draw any information from the set. I find myself focusing on one cause of death, then attempting to memorize the rough percentages for all 3 cases. That is to say, if you want the viewer's takeaway to be "these 3 distributions are very different", great job. If you want the viewer to actually remember any of the numbers, it's very difficult in the format.
437 TooShiftyForYou Murders and terrorism get more attention from the media because they are more shocking to the public than heart disease and cancer.