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301527_1201611471_medium.jpg (Obrazek JPEG, 658×940 pikseli)

11 Oct

http://features-temp.cgsociety.org/gallerycrits/301527/301527_1201611471_medium.jpg

via http://tredowski.cgsociety.org/gallery/589659/

 
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aldrinswc_apollo11_big.jpg (JPEG Image, 900×712 pixels)

11 Oct

http://antwrp.gsfc.nasa.gov/apod/image/0309/aldrinswc_apollo11_big.jpg

via http://antwrp.gsfc.nasa.gov/apod/ap030920.html

 
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Hugh Ferriss: Delineator of Gotham

11 Oct

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Amazing Submarine Concepts [PICS] – sci_tech – upcool.com

11 Oct

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no description

10 Oct

"no description"
 
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Entertainment industry made up $250 billion/750,000 jobs losses due to piracy

10 Oct
Ars Technica's Julian Sanchez takes a long, investigative look at the entertainment industry's claim that piracy costs the American economy 750,000 jobs and $250 billion and discovers the truth: they made it up and repeated it until they forgot they had made it up.
With Customs a dead end, we dove into press archives, hoping to find the earliest public mention of the elusive 750,000 jobs number. And we found it in—this is not a typo—1986. Yes, back in the days when "Papa Don't Preach" and "You Give Love a Bad Name" topped the charts, The Christian Science Monitor quoted then-Commerce Secretary Malcom Baldridge, trumpeting Ronald Reagan's own precursor to the recently passed PRO-IP bill. Baldridge estimated the number of jobs lost to the counterfeiting of U.S. goods at "anywhere from 130,000 to 750,000."

Where did that preposterously broad range come from? As with the number of licks needed to denude a Tootsie Pop, the world may never know. Ars submitted a Freedom of Information Act request to the Department of Commerce this summer, hoping to uncover the basis of Baldridge's claim—or any other Commerce Department estimates of job losses to piracy—but came up empty. So whatever marvelous proof the late secretary discovered was not to be found in the margins of any document in the government's vaults. But no matter: By 1987, that Brobdignagian statistical span had been reduced, as far as the press were concerned, to "as many as 750,000" jobs. Subsequent reportage dropped the qualifier. The 750,000 figure was still being bandied about this summer in support of the aforementioned PRO-IP bill...

The number the ITC actually came up with, based on a survey of several hundred business selected for their likely reliance on IP for revenue, was $23.8 billion—the estimated losses to their respondents. That number was based on industry estimates that the authors of the study noted "could admittedly be biased and self-serving," since the firms had every incentive to paint the situation in the most dire terms as a means of spurring government action. But the figures at least appeared to be consistent and reasonable, both internally and across sectors.

The $60 billion number comes from a two-page appendix, in which the authors note that it's impossible to extrapolate from a self-selecting group of IP-heavy respondents to the economy as a whole. But taking a wild stab and assuming that firms outside their sample experienced losses totaling a quarter to half those of their respondents, the ITC guessed that the aggregate losses to the economy might be on the order of "$43 billion to $61 billion."

750,000 lost jobs? The dodgy digits behind the war on piracy

 
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Holga.

10 Oct

misscedar

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Tiananmen Square on Flickr

10 Oct

via http://www.flickr.com/photos/balakov/2377782949/

 
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Old Cigarette Ads: Doctors, Nurses, And Rock Hudson Say It’s Good For You [Badvertising]

10 Oct

Man, cigarettes were awesome in the past, if these old ads collected by Stanford University are to be believed. They calmed your nerves so you'd stop humming nervously! They soothed your throat! They made you a movie star and helped you capture animals on your big game hunt! We don't know what tobacco was made of before the mid-80s, but no wonder everyone smoked.

Or maybe it was just ridiculous advertising. Check out Stanford's full collection for more stunners like the ones below.

"Not a Cough in a Carload" [Stanford University via WeirdNewsFiles via Neatorama]


Poll

 
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Greasemonkey Shows Off Political Colors

10 Oct

Memeorandum colored by Greasemonkey script

Andy Baio, a prominent blogger and creator of Upcoming.org, has released a Greasemonkey script to visualize the perceived political bias of linked content on the political news aggregation site Memeorandum. If a site tends to link to more left-leaning stories, it’s colored blue. Right-leaning linkers are red.

With the help of Delicious founder Joshua Schachter, Baio used a recommendation algorithm to analyze the last three months of linking behavior for each news source. With that data stored in a Google Spreadsheet, Baio used the Ajax support in Greasemonkey to grab a JSON feed and colorize the links. Those with Firefox’s Greasemonkey extension and Baio’s script installed will see the colorized links when viewing Memeorandum. Baio also released a full-fledged extension that does not require Greasemonkey.

This is a great example of how Greasemonkey can be used to change the way you view a page. In Baio’s case, he wanted to see the perceived bias of a site at a glance so he could choose a balanced view. The code from this project is available under the free and open-source GPL license. You could use it to create other ways of visualizing data on the web.

GreasemonkeyIf you’re brand new to Greasemonkey, be sure to read my new Greasemonkey tutorial on the versatile Firefox extension. If you’ve ever written JavaScript before, you’ll quickly learn the ways of Greasemonkey, which essentially gives you the ability to insert your code anywhere in someone else’s site, but only for your own use on your local machine.

You don’t need to bite off as much as Baio, who admits this is his first Greasemonkey script. One of the biggest benefits I’ve found is that I can write code to pull out the important stuff already in the page. My tutorial shows a simple example of that, where I create a floating menu of all <h2> tags on the page. It turns out this is useful for long Wikipedia entries… and Webmonkey tutorials.

See also:

 
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