Klingon and I
May your gagh be fresh and your honor be unstained!
-Sent via Blackberry
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Day 8,045: Why Windows 7 is not the answer
I downloaded the Windows 7 Release Candidate this morning. When I plugged in my mouse, I was presented with this dialog box. I'd like to say a few words about how this epitomizes the Windows predicament.
First of all, this dialog box is totally useless. There is no good reason why Windows should not download "realistic" icons or the best driver software for my mouse. But it forces me to make a choice while totally locking the rest of my computer. But that is only the beginning. The question itself is impossible to parse and understand without spending several seconds considering the bizarre combination of seemingly random choices.
I can download driver software and realistic icons automatically, which is recommended. Great. Or I can "not" download driver software and realistic icons automatically, but "always install the best driver from Windows Update" -- which I assume involves downloading the software automatically -- and "replace generic device icons with enhanced icons." What is the difference between a generic device icon, an enhanced icon and a realistic icon, and why do I have to choose one?
I can also "not" download driver software and realistic icons automatically, but -- if I don't have a driver on my computer already -- automatically download the driver software. That selection essentially means "install the worst driver software possible -- either the outdated one on my computer, or if it doesn't exist -- and only if it doesn't exist -- download and install the better one online automatically."
Finally, I can choose to always install the worst driver possible or no driver at all. But I can still have realistic icons. Or not.
This is Release Candidate Software. I do not know what to say.
Not your average engagement photos
Engagement photos normally make me feel a bit nauseated, though modern-minded photographers these days are really trying hard to come up with new and original poses/backrounds/angles to make the photos seem fresh. I came across this album my friend Erika (who, incidentally, lives in Singapore, though she's not ditzy like the girls featured in my previous post) posted on Facebook, and I had to do a double-take. I'd never seen "engagement" done like this before!
I really like that they had so much fun with the shoot (done in her native Bali, Indonesia), dressing up, splashing around, hamming it up for the camera, and not taking themselves too seriously. I especially love the first and last photos.
Only a programmer would chuckle at this part of Windows source code...
* !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
* !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
* !!!!!!!IF YOU CHANGE TABS TO SPACES, YOU WILL BE KILLED!!!!!!!
* !!!!!!!!!!!!!!DOING SO FUCKS THE BUILD PROCESS!!!!!!!!!!!!!!!!
* !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
* !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
via kuro5hin.org
I love the use of exclamation points. It's effective.
Funniest comment I've seen in a while about how unreasonable tech arguments are on the Internet
Sven,
Your comment was a fair and well balanced response.THis is the internet. We have NO ROOM FOR REASONABLE PEOPLE HERE! SO CUT IT OUT!
If you don't have some unusually sarcastic cutting remark, or a batantly stupid thingh to say, DON'T SAY ANYTHING AT ALL!
ABOVE ALL NEVER NEVER NEVER ADMIT THAT BOTH SIDES OF A POSITION MAY HAVE MERIT!
UNREASONABLE FANATICISM IS THE ONLY ACCEPTABLE FORM OF RESPONSE HERE!
WE NEED PAGE VIEWS DAMNMIT! CONTROVERSY, NOT EDUCATION!
MY GAWD MAN! THINK OF THE ADVERTISING REVENUE!
OH THE HUMANITY!
(for the nerds in the audience, this was on a blog post about MySQL vs PostgreSQL)
Best XBOX advertisement slogan ever
Go outside. Get some air.
Watch a sunset.
Boy, does that get old fast.
--Microsoft XBOX advertisement
Hilarious. As seen in Emotional Design: Why we love or hate everyday things, by Don Norman.
Senate majority vs. national debt - Getting at public data is a pain
Last weekend, my friend Ian and I were talking, and we got to the topic of trying to find data online to fact check newspapers. As newspapers get squeezed due to readership moving online, they have less money to do in-depth research. We hear more stories about Britney Spears and her ilk not just because of her hot pants, but because she's cheaper to cover. Sometimes, when newspapers put out something, we find out later that their facts weren't exactly right.
One of things he wanted to fact-check was the national debt, and how it related to our politicians. I imagine he was incensed at the state of financial affairs and wanted to know who were the fools that did it. He wanted to know what the senate majority was plotted against the national debt.
After that, I took some time in the last couple of days to find the data, and then write a ruby script to scrape it and plot it on a javascript webpage. Here's the resulting graph:
The first surprising thing was how fast the national debt has grown in the last 30 years. It's been an exponential growth. I think that while increased spending have happened, the interest on the debt has a significant effect on that growth.
The second surprising thing was how much democrats dominated the era between 1930 and 1980, with a sliver of Republican majority in the 50's. And before that, it was dominated by the Republicans. Apparently, political ideology shifts back and forth.
One of the things I have to note about the graph is that the first set of Red in the early 1800's is not the modern Republican party we know today. It was another party of the same name, I think also called Jeffersonian-Republicans. The gaps before and after were times when there were no Democrats or Republicans. There were Pro-administration or Anti-administration, or Pro-Jackson, Anti-Jackson, or Whigs and others. In addition, there weren't 100 seats in the Senate at the very beginning, so we see some instances where Senate Majority wasn't more than 50 seats.
Oh, and because I'm lazy, I didn't label the axis. The left y-axis is the # of senate seats held by the majority party. The right y-axis is the national debt in dollars.
We can see from the graph that the explosive rise in national debt occurred in the last two or three decades. In addition, both parties had Senate majority at the time. Not only that, but the Senate Majority party only had a slight majority, which meant that it could tip in favor of the other party from congress to congress.
Seeing how it was exponential, I plotted it as a log-plot. Ian quipped that "it's terrifying that it makes sense to plot the national debt in log scale."
You can see more details here. Remember, a line in a log plot means exponential growth. We can see that there are times in history that the US debt dropped or rose at a significantly rapid rate. I was surprised to see that in the mid 1830's, it looked like the US cleared itself of its debt. I don't know enough about history to know whether the US just defaulted or it paid the debt back. The significant rises in debt seem to correlate with the major wars. 1860's for the US Civil War, the 1915's for WWI and 1940's for WWII.
Now the last graph is not for the faint of heart. It's a graph of the rate of change of the national debt on a log scale.
One of things he wanted to fact-check was the national debt, and how it related to our politicians. I imagine he was incensed at the state of financial affairs and wanted to know who were the fools that did it. He wanted to know what the senate majority was plotted against the national debt.
After that, I took some time in the last couple of days to find the data, and then write a ruby script to scrape it and plot it on a javascript webpage. Here's the resulting graph:
The first surprising thing was how fast the national debt has grown in the last 30 years. It's been an exponential growth. I think that while increased spending have happened, the interest on the debt has a significant effect on that growth.
The second surprising thing was how much democrats dominated the era between 1930 and 1980, with a sliver of Republican majority in the 50's. And before that, it was dominated by the Republicans. Apparently, political ideology shifts back and forth.
One of the things I have to note about the graph is that the first set of Red in the early 1800's is not the modern Republican party we know today. It was another party of the same name, I think also called Jeffersonian-Republicans. The gaps before and after were times when there were no Democrats or Republicans. There were Pro-administration or Anti-administration, or Pro-Jackson, Anti-Jackson, or Whigs and others. In addition, there weren't 100 seats in the Senate at the very beginning, so we see some instances where Senate Majority wasn't more than 50 seats.
Oh, and because I'm lazy, I didn't label the axis. The left y-axis is the # of senate seats held by the majority party. The right y-axis is the national debt in dollars.
We can see from the graph that the explosive rise in national debt occurred in the last two or three decades. In addition, both parties had Senate majority at the time. Not only that, but the Senate Majority party only had a slight majority, which meant that it could tip in favor of the other party from congress to congress.
Seeing how it was exponential, I plotted it as a log-plot. Ian quipped that "it's terrifying that it makes sense to plot the national debt in log scale."
Now the last graph is not for the faint of heart. It's a graph of the rate of change of the national debt on a log scale.
Because the changes have been so dramatic in the last couple of decades, it dwarfs any changes in earlier periods on a linear scale. Here, we can see that for most of the history of the US, the debt change fluctuated up and down. There were periods of lots of spending, but then also periods of cutting back. Sometimes, one party was responsible for doing that, and sometimes, it was another. But in the recent years, we've just been accruing debt. See that little dip in the late 90's/early 2000? That was the big savings from the Clinton era. Note that it's a log scale, so that a little dip up high on the scale means that it's huge when it's lower down. If we had the level of debt back in the 1920's, we've almost have cleared it.
So all this has been interesting, but is this what falls under the "all that jazz" category? What does it have to do with the web and programming? I've been thinking about all the public the data that's out there, and how to get to it. The conclusion was that it was pretty damn hard. There were four steps to tell this story to you. I had to find the data, scrape it, clean it, and then graph it. Of the four steps, the hardest part was scraping and cleaning. It took a good 4+ hours to do it, and I'm a programmer. Most other people that were curious enough could use excel, but last I checked, excel didn't do data scraping on web pages. Hello cut and paste.
I think it should be much much easier for citizens in a country where we elect government officials to be informed and see this data for themselves. Before, we had relied on journalists to give me the straight dope on these facts. But, as I mentioned before, the newspapers have been in decline. As a result there's less budget to pay for good reporting watching the government and what it's doing. Beyond watching the government, I expect that people generally have questions that can be best answered by graphs of public data--and those answers aren't just yes or no.
As an example, another friend of mine, Matt, is single and looking for the ladies. However, living in Columbia, MD, it's a tough dating environment--everyone's under 18 or over 40. So if he could move, which counties in Maryland has the highest number of single females?
Do any of you find that you have similar questions that can be answered by public data in graphs?
So all this has been interesting, but is this what falls under the "all that jazz" category? What does it have to do with the web and programming? I've been thinking about all the public the data that's out there, and how to get to it. The conclusion was that it was pretty damn hard. There were four steps to tell this story to you. I had to find the data, scrape it, clean it, and then graph it. Of the four steps, the hardest part was scraping and cleaning. It took a good 4+ hours to do it, and I'm a programmer. Most other people that were curious enough could use excel, but last I checked, excel didn't do data scraping on web pages. Hello cut and paste.
I think it should be much much easier for citizens in a country where we elect government officials to be informed and see this data for themselves. Before, we had relied on journalists to give me the straight dope on these facts. But, as I mentioned before, the newspapers have been in decline. As a result there's less budget to pay for good reporting watching the government and what it's doing. Beyond watching the government, I expect that people generally have questions that can be best answered by graphs of public data--and those answers aren't just yes or no.
As an example, another friend of mine, Matt, is single and looking for the ladies. However, living in Columbia, MD, it's a tough dating environment--everyone's under 18 or over 40. So if he could move, which counties in Maryland has the highest number of single females?
Do any of you find that you have similar questions that can be answered by public data in graphs?
Data sources:
