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Comment Re:Authors Guild Recommends It if You Plan to Sue (Score 4, Insightful) 125

The settlement is for a bogus lawsuit.

The problem is this: Google has the ability to pay their way out of this nuisance lawsuit. Others do not. Thus Google ends up with a defacto monopoly.

From the author's perspective, however, there is no ability to pursue a bogus lawsuit to a conclusion more favorable than free money they shouldn't be getting in the first place.

Of course William Morris is against it. The settlement is bad for them and bad for our society. It's bad for authors, even. But the only thing worse for authors is opting out of the settlement.

The Internet

Submission + - Is an Open Cloud Worth Wanting? (oreilly.com)

smack.addict writes: "Caught in the middle of the back-and forth between Microsoft and the Open Cloud Manifesto team is the question, what does it mean for the cloud to be Open? All of the vendors in the cloud space have paid lip service to the idea of Openness in the cloud; and most everyone believes that being "Open" is a "good thing". In an environment in which few people agree on the specifics of defining the term "cloud computing", what exactly does it mean to have an Open Cloud?"

Comment 4,600 is Way More Than Enough (Score 3, Informative) 383

/. should not be a forum for perpetrating common ignorance, such as the comment,

"What's more, the number of Flash users is based on a questionable internet survey of just 4,600 people â" around 0.0005% of the suggested 956,000,000 total. Is it really possible that 99% penetration could have been reached?"

They really needed to survey just 1,000 people to get a statistically meaningful survey.

It does not pass the smell test because it leaves out a number of important devices we know to exist on the Internet (for example, the iPhone).

The problem is almost certainly sample bias. 1,000 data points is significantly relevant if your sample is truly random and not skewed towards a particular subgroup. Sample bias means that your mechanism for picking who you sampled would be more likely to pull data points from a specific subgroup. For example, a methodology that discouraged responses from people on mobile devices.

Comment Re:I agree. (Score 2, Insightful) 465

This is a failure on your part. Bean counters are not penny-wise, pound foolish. They do need a concrete financial analysis, however, to prove that you aren't just blowing smoke up their skirt.

Because most of the time, programmers are doing just that.

And also, programmers often fail to understand the cost of money and that sometimes it is better spend more tomorrow than a little bit today.

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