Online dating site OkCupid continues with amusing yet thorough analysis of their 1.51…
Statistics
More than mean, median, and mode.
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Lies people tell in online dating
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Afghanistan war logs revealed and mapped
This past Sunday, well-known whistle-blower site Wikileaks released over 91,000 secret US military…
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Tardiness solves statistics theorems
Yeah, you read that right. Tardiness makes the world go ’round:
One day… -
Open data doesn’t empower communities
internet.artizans reflects on the usefulness of open data:
I’m inspired by the idea… -
Data and its impact on journalism
In regards to the UK’s recent boom in open data, Simon Rogers of…
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Egregious Citations Issued to BP
BP processes about 1.5 million barrels of crude oil per day, across six…
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Data Science is catching on
Maybe there’s something to this whole data science thing after all. Mike Loukides…
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Live webcast: Community Health Data Initiative
Health and Human Services (HHS) is about to announce the launch of their…
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Junk food equivalents of sugary drinks
Men’s Health takes a look at America’s most sugary drinks and their junk…
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Instant electric bike and data collector
When you ride your bicycle around, I bet you always wish for two…
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Why context is as important as the data itself
John Allen Paulos, a math professor at Temple University, explains, in the New…
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Wait. Something isn’t right here…
No clue where this is from, but something seems sort of off, no? I guess we should take the title literally. By the numbers… only. I’m going to give the benefit of the doubt though, and assume this was just an honest mistake. Here’s my guess about what happened.
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Write your own TED talk with lies, damned lies and statistics
Sebastian Wernicke, an engagement manager at Oliver Wyman and former bioinformatics researcher, explains the results from his pseudo-analysis of TED talks. The result: a guide on how to give the ultimate TED talk.
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How open data saved $3.2 billion
This is a story of fake charities and tax shelters. In an analysis of data from the Canada Revenue Agency (CRA), it was found that billions of dollars in donations were collected by fraudulent organizations, with only a tiny portion going to the actual causes. In one case, only $1 out of every $100 went to helping the homeless. The rest of the money went to a tax shelter. Shameful.
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How men and women label colors
Along the same lines of Dolores Labs’ color experiment, Randall Munroe of xkcd…
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Twitter data buffet is back in business
Almost a year and a half ago, Infochimps, the data repository slash marketplace,…
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R is an ‘epic fail’ – or how to make statisticians mad
Statisticians are mad and out for blood. Someone called R an epic fail…
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World data released ‘is a dream come true’
In another step towards open data and all that jazz, the World Bank…
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TransparencyData makes campaign finance data easier to access
Anyone who’s looked at campaign finance data knows it can get messy really…
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Twitter predicts the future?
A recent study [pdf] by Sitaram Asur and Bernardo A. Huberman at HP…