Google Reader Feed: My Shared Items
John Kotter over at HBR argues that we should use less data and evidence in our presentations and Q&A: [M]ost people respond to a critical question by arguing against the reasoning of whoever asked the question. They offer all of the evidence they can think of, hoping to make their case overwhelming. They shoot at [...]
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Charles Seife’s Proofiness is an accessible and entertaining look at the many ways numbers can be used (more to the point, abused) in order to win an argument. Seife spends the early part of the book outlining his typology for numerical abuses. For instance, “disestimation” is the act of taking a number too literally, understating [...]
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via Marginal Revolution:
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The Wall Street Journal reported yesterday that the US Department of Energy is set to restate the data it collects on U.S. natural-gas production. The reason? The Department has learned that its methodology is seriously flawed: The monthly gas-production data, known as the 914 report, is used by the industry and analysts as guide for [...]
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Two topics that are right up my alley: international conflict and data visualization. Put the two together, and you have a truly thought provoking piece of work. David McCandless is a “visual journalist” who specializes in visualizing data across numerous subjects. In his latest work for The Guardian’s Data Blog, David visualize a ton of [...]
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Ana Andjelic channels my thoughts on data- and fact-based decision making in an interesting post on ad campaigns: How can we then decide that a campaign was “better” than another one? We rarely look at a campaign data – partly because the actual metrics data is proprietary and not available to anyone beyond walls of [...]
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This is essentially the question asked and answered by Hans Rosling at a recent TED lecture. For those that don’t know him, Rosling is something of a superstar at the intersection of public health research and data visualization. Rosling’s recent work focuses on dispelling the misconception that there is a binary distinction between the developed [...]
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Jessica Hagy tackles the complex relationship between the amount of information we have and the level of confusion we experience: Yup, looks about right. Of course, as Nate points out, there are ways to widen the valley. But I’ll leave that for another post.
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So says Professor Jimmy Lin at the University of Maryland in a recent NYT Technology article about the shortfall in “Big Data-competent” university students. The article points out that the kind of data we are now dealing with (which will only continue to increase exponentially) requires a different perspective and experience than most currently have. [...]
Filed under: Uncategorized | Tagged: analytics, Big Data, crowdsourcing, data, data visualization | 1 Comment »
Fiction
Quicksilver (The Baroque Cycle, Vol. 1)
Non-fiction
The Book: Playing the Percentages in Baseball
Priceless: The Myth of Fair Value
The Numbers Game
Codes of the Underworld: How Criminals Communicate
Proofiness: The Dark Arts of Mathematical Deception
The Rational Optimist
The Quiet American
How Doctors Think
The Wisdom of Whores
Switch
Operation Mincemeat: How a Dead Man and a Bizarre Plan Fooled the Nazis and Assured an Allied Victory
