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Tom Johnson

The special trick that helps identify dodgy stats | Ben Goldacre | Comment is free | Th... - 0 views

  • The special trick that helps identify dodgy stats Using Benford's law, forensic statisticians can spot suspicious patterns in the raw numbers, and estimate the chances figures have been tampered with
  • The results were fun. Greece – whose economy has tanked – showed the largest and most suspicious deviation from Benford's law of any country in the euro.
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    if you go to the website testingbenfordslaw.com you'll see the proportions of each leading digit from lots of real-world datasets, graphed alongside what Benford's law predicts they should be, with data from Twitter users' follower counts to the number of books in different libraries across the US
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    The special trick that helps identify dodgy stats Using Benford's law, forensic statisticians can spot suspicious patterns in the raw numbers, and estimate the chances figures have been tampered with
Tom Johnson

flare | visualization on the web - 0 views

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    Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel. View the demos and sample applications to see a few of the visualizations that flare makes it easy to build. To begin making your own visualizations, download flare and work through the tutorial. You should also get familiar with the API documentation. Need more help? Visit the help forum (you'll need a SourceForge login to post). Flare is open-source software released under a BSD license, meaning it can be freely deployed and modified (and even sold for $$). Flare's design was adapted from its predecessor prefuse, a visualization toolkit for Java.
Tom Johnson

BBC | BBC College of Journalism Blog - #bbcsms: BBC processes for verifying social medi... - 0 views

  • << previous blog | recent blogs | next blog >> #bbcsms: BBC processes for verifying social media content Alex Murray | Wednesday 18 May 2011, 10:40 From Tunisia, via Egypt, to Libya and Syria, verifying and acquiring eyewitness/citizen journalist/user-generated content has become increasingly complicated as the material has become more sophisticated. At the UGC (user-generated content) Hub in the BBC Newsroom in London, our process has become much more forensic in nature and includes: - Referencing locations against maps and existing images from, in particular, geo-located ones. - Working with our colleagues in BBC Arabic and BBC Monitoring to ascertain that accents and language are correct for the location. - Searching for the original source of the upload/sequences as an indicator of date. - Examining weather reports and shadows to confirm that the conditions shown fit with the claimed date and time. - Maintaining lists of previously verified material to act as reference for colleagues covering the stories. - Checking weaponry, vehicles and licence plates against those known for the given country. That's not an exhaustive list, but those are some of the most common things we do in BBC News.
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