Odd. I'm hiring someone now and I have no idea when they submitted their application. I just get them all in batches.
That's what I'm confused about. This implies HR looks at applications as they come in. Why wouldn't they put them all in a file, then look at them all the same time? Batch processing is almost always more efficient, and in light of this info it would avoid the daily mood swings so the real most qualified candidates come to the top.
Could it be the ones applied for earlier will be the ones they look at first during that day or timeframe. It puts you at the top of the list of applicants. I could see a bias towards this especially if they have many to look over. Find the first few that look good then offer interviews?
Could be that people who turn their applications in early in the day are more organized and efficient than someone who shows up at the last minute to turn it in.
The data is too granular for any trends to show. However, if you take yearly averages, the upward trend is immediately noticeable.
I was going to say that it'd be fun to do it for a Texas city - but a yellow rectangle is probably less interesting.
I would have expected the temperature to increase noticeably over the years (especially in the past decade) due to global warming. Is it surprising that you don't see that? After all, the trend is pretty clear when you look at the size of polar ice caps over the years.
Source: Data is from the Integrated Surface Database. I used the data for weather station USAF 725030 - LaGuardia Airport, which is one of the longest continuously running weather stations in NYC.
Tool: Made it in R using ggplot2
I removed February 29 from all the leap years so that the years should align nicely. There were some missing values, particularly in the earlier years, which I simply filled with the value from the previous available observation.
Data source was the html of the notes section of an old tumblr post I made that happened to get a bit of popularity (because it was silly fanart.)
Tool was Unity 3D. Feel free to peruse my messy code here on Github.. The project was written on a Windows machine but I assume it can run on anything.
Why do some nodes have a flower like structure with thin petals terminating a short distance away, whereas others have a thick trunk-like connection up the tree? I understand threads that die out, but what determines the thickness of a branch out of a post/node?
This is so beautiful honestly, it reminds me of life and the source of all living things on earth, and it's just from from some stupid tumblr post 💖
Pure speculation, but it seems that if a single reblog spawns many other reblogs it will have a thick branch. So if a series of popular tumblr users were re logging each other it would create a thick branch.
Your first sentence made me think you were talking about race. Your second made me think you were making some kind of commentary on a race being "missing". Your third sentence confused the hell out of me until I re-read the whole thing.
Just a heads-up to anyone with a black background like me. The image is transparent and everything that is "missing" is black. You can open it in chrome or something similar to get around that.
That was a roller coaster
An accompanying plot of the cast composition would add at least a bit of context. If possible a guest host demographic breakdown as well.
Hi reddit! I am Max Roser, founder of the online publication Our World in Data at Oxford. I am visualizing data to show how our world is changing and hope this motivates more of us to care and work for global development. I’m very curious to hear which aspects of development you want to see! AMA!
Hi Reddit! My name is Max Roser. I visualize global development data on OurWorldInData.org, a free online publication on how living conditions around the world are changing.
Now I am working with a great team and we want to cover global development as broadly as we can to show how our world is changing. Our World in Data now includes data and research on global health, violence, poverty, inequality, economic growth, environmental changes, food and agriculture, energy, technological change, education and more specific topics.
While much of the news is focussing on what happened yesterday or even what is currently “breaking news”, I think that many of the very important changes, which fundamentally reshaped the world that we are living in, happen very slowly and persistently over the course of decades or centuries. On ‘Our World in Data’ we don't report the 'breaking news' and instead zoom out to show the slow trends that dramatically change our world.
Other than that I am a researcher – mostly focussing on inequality and poverty – at the University of Oxford. (My personal site is here.)
It is easy to be cynical about the world and to maintain that nothing is ever getting better. I am working on this because I don’t want this cynical view dominate our understanding of the world we live. Because our hopes and efforts for building a better future are inextricably linked to our perception of the past it is important to understand and communicate the global development up to now. If you want to see some of the positive changes in the world you could have a look at my Short history of global living conditions and why it matters that we know it.
Globally we face so many very difficult challenges and I think we are making a mistake to not study good data and the empirical research that shows us what these challenges really are and how we were able to sometimes overcome those challenges in the past. If we see how far we have come, we can start to ask what made this progress possible so that we seek more of what works. I got into research on global development because I just couldn’t believe the very substantial progress the world has made and I hope that visualizing this data and making it accessible maybe motivates some others to work on these questions too. We have lots to do!
Our World In Data is entirely a public good: The publication is freely available online, all data is available for download, all visualizations are available under a permissive Creative Commons license, and all software that we developed is made available open source.
Here is proof that it is me via my twitter account.
I learned a lot from reddit over the last years, but did not contribute much to be honest. I hope I can change that a bit with this AMA. If possible I can do a few visualizations of trends, correlations, and maps – generally I am just really interested to hear which aspects of global development you are interested in. Ask me anything!
I will wait until 5pm (London time) and then get back to your questions.
Looking forward to hear from you!
EDIT at 11:00: Thank you for your great questions! These are much more than I expected, I have been asking questions for the last several hours. I am working my way though them..
EDIT at 1:45am: It is now pretty late and I'm still in the office. I need to get some sleep. Until now I got back to the most highly upvoted questions and spent the last 9 hours or so writing my answers. Many, many thanks for the great interest in this AMA ! It is great hearing from you what you are interested in and I hope some of the answers are useful for you! Also really fun that Bill Gates showed up here!
If you want to see what we are up to you can
like Our World in Data on Facebook here
follow Our World in Data on Twitter here
or follow me on Twitter here
You always do such a good job visualizing the progress we’ve made in a time when headlines lead many people to believe things are getting worse. If you could only use one chart to convince someone that the world is getting better, what would you choose?
Question from a friend: Can you remember a time where the use of statistics dramatically changed your opinion on something? A scenario where the stats disproved many of your preconceived notions about a topic?
That happened quite often at the beginning. For example I remember very well how surprised I was when I first learned that the share of people in poverty is falling.
In my undergrad studies I did Philosophy and Geoscience. One subject is more gloomy than the other – geoscience for some good reasons and in continental philosophy there is this shared belief that it is all downhill since Aristotle.. When I then first went to see a lecture on economic history and the lecturer tried to convince us the global economy is a positive sum game and as productivity increased in more and more places around the world, more and more people were lifted out of poverty I did not believe it. It was so against everything else that I embarrassingly thought he must be wrong. I wish I knew now how I rationalized that I am right and he is wrong at that time as it might help me to do my work better today. But I definitely remember that lecture and thinking 'this is not true'. Reading more social and economic history then changed my mind.
But actually I think it is because I was so surprised myself about these changes – and angry actually that no one had told me that clearly before – that I am doing the work that I am doing today.
How do you ensure that you prevent any biases from leaking into the data you gather?
Jokes on you, good looking people. I can't catch shit whilst at home playing league of legends. Slithers over and closes the blinds as daylight begins to seep into the room.
Someone needs to overlay this with a map depicting ease of access to contraception and sex education.
Slithers over and closes the blinds as daylight begins to seep into the room.
Awake during the day; had me fooled right up until then... ping improves at night when normies go to sleep.
Florida's probably up there due to the retirees from all over the country getting wild in the retirement communities. Seriously.
Look up The Villages.
The ricklantis mix up by far was my favorite episode, had some of the best jokes and was really well written. Also the Rick and Jerry episode is pretty funny too.
If anyone's interested the episode names for this are:Episode Season 1 Season 2 Season 3 1 Pilot A Rickle in Time The Rickshank Rickdemption 2 Lawnmower Dog Mortynight Run Rickmancing the Stone 3 Anatomy Park Auto Erotic Assimilation Pickle Rick 4 M. Night Shaym-Aliens! Total Rickall Vindicators 3: The Return of Worldender 5 Meeseeks and Destroy Get Schwifty The Whirly Dirly Conspiracy 6 Rick Potion #9 The Ricks Must Be Crazy Rest and Ricklaxation 7 Raising Gazorpazorp Big Trouble in Little Sanchez The Ricklantis Mixup 8 Rixty Minutes Interdimensional Cable 2: Tempting Fate Morty's Mind Blowers 9 Something Ricked This Way Comes Look Who's Purging Now The ABC's of Beth 10 Close Rick-counters of the Rick Kind The Wedding Squanchers The Rickchurian Mortydate 11 Ricksy Business
I got u famEpisode Season 1 Season 2 Season 3 1 [8.1] Pilot [8.7] A Rickle in Time [9.7] The Rickshank Rickdemption 2 [8.7] Lawnmower Dog [8.8] Mortynight Run [8.3] Rickmancing the Stone 3 [8.4] Anatomy Park [8.6] Auto Erotic Assimilation [9.3] Pickle Rick 4 [8.6] M. Night Shaym-Aliens! [9.5] Total Rickall [8.3] Vindicators 3: The Return of Worldender 5 [8.9] Meeseeks and Destroy [8.3] Get Schwifty [8.7] The Whirly Dirly Conspiracy 6 [9.0] Rick Potion #9 [9.2] The Ricks Must Be Crazy [9.1] Rest and Ricklaxation 7 [8.1] Raising Gazorpazorp [8.5] Big Trouble in Little Sanchez [9.9] The Ricklantis Mixup 8 [8.7] Rixty Minutes [7.7] Interdimensional Cable 2: Tempting Fate [9.0] Morty's Mind Blowers 9 [8.5] Something Ricked This Way Comes [8.5] Look Who's Purging Now [8.2] The ABC's of Beth 10 [9.2] Close Rick-counters of the Rick Kind [9.2] The Wedding Squanchers [8.3] The Rickchurian Mortydate 11 [8.5] Ricksy Business
So by this chart the most disliked episode was interdimensional cable 2. That explains why they made Morty mindblowers instead.
Used IMDB and Excel, inspired by the Simpsons post by u/OrangeDit edit: used Wikipedia too
Wow this data really makes me want to check out the new seasons of Scooby Doo. I used to watch it in the morning when I was young.
Change in the network? Better writing? Personally, I think it is the change in art style, seasons 20 and 21 are Shaggy and Scooby Get a Clue which really doesn't look like the original series. The two following seasons are Scooby-Doo Mystery Incorporated, which looks like a modernization of the original style. Edit: Links Get a Clue: Mystery Inc: https://farm4.staticflickr.com/3905/14318189266_9932cbf10e.jpg
Wow, why was the revival so good?
Surprising amount of diversity. Some of those are pretty specific, do people PM you hex codes?
Yep, out of 6000 people a solid one to two hundred sent hex codes. I figure it's mainly because those people saw I included a hex code favorite color in my original post, which meant that my script had to account for that too.
I'm too indecisive to pick one specific color like that
Do you accept wavelengths?
I like 435nm and 495nm the best. Of course they look different irl from what your computer monitors can show you, and that's why I like wavelength
Assumptions made include that "mass shootings" only count if there were 3 or more deaths, and that after 2 weeks was the "too soon" argument no longer applies. I found that there was no continuous workweek to enact any legislation before the next mass shooting.
This visualization is in response to Mitch McConnell's comments this week.
There are simple gun laws that a majority of Americans support, like a ban on high capacity magazines. This alone would have stopped or limited the Las Vegas attack.
People actually believe this?
No, but people post it as though it's true.