Starting in 1996, Alexa Internet has been donating their crawl data to the Internet Archive. Flowing in every day, these data are added to the Wayback Machine after an embargo period.
Starting in 1996, Alexa Internet has been donating their crawl data to the Internet Archive. Flowing in every day, these data are added to the Wayback Machine after an embargo period.
TIMESTAMPS
The Wayback Machine - http://web.archive.org/web/20170511031838/http://www.hyperorg.com:80/blogger/2011/04/
I’ve been thinking for the past couple of months about seeing if someone wanted to do illustrations for a similar project I posted under a CC license in 2004: “Now Go to Damn Sleep: A Children’s Book for Parents. ” Now it would be a tad redundant.
I trust that Adam has done a better job with the topic than I did. I was never very happy with my mastery of meter.
Harvard Business Review has just posted my response to the article by Michael Porter and Mark Kramer in which they propose moving business to a strategy that includes creating Shared Value. Obviously I support the idea of businesses taking seriously their obligation to create a better, sustainable world. But I’m not as optimistic about businesses embracing that strategy solely on the grounds that Porter and Kramer propose.
It’ll make the HBR folks happier — and therefore me too — if you comment there rather than here.
Congratulations to eighth graders Melissa Yu, Katy Becker, and Sara Atkins for winning first prize in C-SPAN’s StudentCam contest. Their 7:45 minute video explainer of Net neutrality — the policy and the politics — is clear, fair, and smart.
Michael Eisen has a terrific post in which he does the detective work to figure out how dueling algorithms from two competing bookstores drove the price of a book about flies up to $23,698,655.93.
I’m sorry that some human noticed and backed the prices down. I would have liked to have seen a financial bubble form as the price went into the trillions.
I’m thrilled that I’m going to be writing an article for Scientific American on big data models — models that cover some huge swath of life, such as the economy, the climate, sociopolitical change, etc. What’s the promise and what are the challenges? How far can such models scale?
So, who do you think I should interview? What projects strike you as particularly illuminating? Let me know in the comments, or at selfevident.com.