Amazon Sues Alexaholic 124
theodp writes "ZDNet reports that as Jeff Bezos tap-danced out of a cringe moment at Web 2.0 Expo prompted by Tim O'Reilly's questioning of why Amazon couldn't get along with Alexaholic (now Statsaholic), Amazon had already filed a lawsuit to legally spank the tiny company into oblivion."
Reasons to like Alexa? (Score:5, Informative)
That is a mistake, or rather a mistaken response to the claim. Yes, statistical significance is attainable but only if the sample is representative (i.e.) is random. The critics' claim is that Alexa's data is not representative, in other words the sites that choose to give Alexa their data are somehow don't represent a random sample of all the websites out there. It isn't a question of size but rather of quality.
Re:Alexa (Score:1, Informative)
perhaps this will refresh your memory ? [google.com]
Re:Thanks Tim (Score:5, Informative)
I seem to remember hearing this, way back when.
Re:Thanks Tim (Score:3, Informative)
http://yro.slashdot.org/article.pl?sid=06/05/26/1
Re:Reasons to like Alexa? (Score:4, Informative)
Re:Reasons to like Alexa? (Score:2, Informative)
In other words, the sites browsed do not talk to Alexa or Amazon.
Read what Alexa has to say in their Disclaimer [72.14.209.104].
I'll give you the quick version: Sites with less than 1,000 monthly visitors are likely to have poor statistics backing up their ranking.
I imagine Alexa has people smarter than the both of us combined working on their stats. I doubt you're going to catch them in a "gotcha!" moment.
Alexaholic isn't a mashup (Score:1, Informative)
Re:Thanks Tim (Score:2, Informative)
Re:Thanks Tim (Score:4, Informative)
In short, O'Reilly is partnered with CMP and CMP has the mark and sent the letter.
Same old game, different players. (Score:1, Informative)
So Alexa built their business on the backs of the volunteers that provided the data they now claim as their proprietary data. Building on that ethical triumph, they see someone else make good use of the same data and proceed to sue them into oblivion - but not before taking all the good ideas this person had for their own. Of course, we're talking about Amazon; the people with that "one click" patent that they've used against competitors more than once.
I'd say something about this being good reason to avoid Amazon in the future - but I already came to that conclusion a long time back. There was a book I'd heard about and I wanted a copy. Nobody seemed to have it in stock - but Amazon did, and they took my order for a copy. After a week I was wondering where my book was and checked Amazon's website for order status. Backordered. But they should have it for me in 5 to 7 days.
After a couple of months of this I finally contacted the publisher of the book to see what was going on. What was going on is the book that Amazon was selling me was OUT OF PRINT and had been for a few years. You'd think Amazon might communicate that little detail to me, wouldn't you? Nope; they maintained the fiction of "it'll be here in 5 to 7 days" right up until I cancelled my order. You should see how their attitude changes at that point; I must have been transferred to a "customer retention" specialist.
OK, here's the real truth about the big Amazon catalog. It's the ISBN catalog; they just borrowed that data and imported it into their database.
I'm expecting someone from Amazon to jump up and say "I stole it fair and square, it's MINE now."
Re:Alexaholic isn't a mashup (Score:3, Informative)
He was screen scraping... (Score:4, Informative)
He was "avoiding an API fee", but the data he wanted was not available through the API anyways, so he screen scraped alexa. If alexa had wanted that data available they would have made it available through the API.
The guy (hornbaker) admittedly says he wants to turn this into a PR battle. And I remember him explicitly trying to stick it to amazon before he changed the site name.
I don't really know who the hell to cheer for here, so I'm just gonna sit back and watch.
Re:Reasons to like Alexa? (Score:4, Informative)
Actually "random" would be the opposite of "representative", as long as statistics are concerned. Represenative means the same proportions of the subgroups in the samples are the same as the whole. The subgroups should be carefully chosen to represent properly what could bias or change the outcome of the results.
As an extremely simple example, you want in the sample to have the same proportions of age, gender, income, professions etc (some of those categories may not matter in certain studies).