You mean Sarah Palin could be committing Federal crimes?

If Sarah Palin Has Someone Else Doing Her Facebooking, Is She A Criminal?
[Via Techdirt]

The EFF has been working to make people aware of the ridiculous consequences of the really ridiculous stretching of the Computer Fraud and Abuse Act to make such things as violating the terms of service on a website a criminal offense. As part of this, they’re now pointing out that rumors that Sarah Palin doesn’t write her own Facebook messages and Tweets could mean that Palin is violating the law and criminally liable, since it goes against Facebook’s terms of service:

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No, no one would say she has committed a crime, except possibly the courts. TBut the law has become so twisted that violating a site’s terms of service could be a crime, even if no real ‘hacking’ has been done. Assistant accessed Palin’s account without her permission – a crime. Assistant accessed Palin’s account with permission – still a crime, according to some courts. This is an incorrect ruling and will be dealt with, even though it should not have to be as the meaning of the law is quite clear.

We will get all this sorted out eventually but it does show how far behind the law is from reality.

Land of Confusion for Google

bing by mccun934

The Macalope Weekly: Choices
[Via Macworld]

Android goes bing, the App Store goes transparent, and one technology CEO goes to the Land of Questionable Metaphors.

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So, Google makes money by people seeing their ads when doing searches. But, as I mentioned earlier this week, Google just changed their search engine page in a big way but have no idea how that will affect their ad revenue.

Now it comes out that Android phones from Verizon – Android being the OS Google gives away for free hoping people will watch ads and buy apps – will have Microsoft’s Bing as the default search engine, not Google. Yep, MS is paying Verizon to get its own search engine onto all the phones that Google helped create through Android.

Google gets no revenue for the Verizon phones, Verizon gets revenue from MS and MS gets revenue from Bing. Who loses in this situation?

As the Macalope says in the paragraph preceding the above quote:

Everyone wants to compare the Apple/Google mobile OS wars to the Apple/Microsoft desktop wars of the 1990s. But if Compaq ever got out of line, Microsoft always told them to go jump in a proverbial lake. And then it pushed them in an actual lake. Filled with sharks. A special breed of freshwater great white sharks that the company had genetically engineered for that particular purpose. And then it poured petroleum into the lake and lit it on fire.

Google doesn’t seem to be able to exercise that kind of leverage. Android’s popular, there’s no denying that, but at what price comes popularity when you wake up in a strange hotel room with your arm around Bing?

Explaining how a baseball player catches a ball

NCBI ROFL: How baseball outfielders determine where to run to catch fly balls.
[Via Discoblog]

fly ball

“Current theory proposes that baseball outfielders catch fly balls by selecting a running path to achieve optical acceleration cancellation of the ball. Yet people appear to lack the ability to discriminate accelerations accurately. This study supports the idea that outfielders convert the temporal problem to a spatial one by selecting a running path that maintains a linear optical trajectory (LOT) for the ball. The LOT model is a strategy of maintaining “control” over the relative direction of optical ball movement in a manner that is similar to simple predator tracking behavior.”

baseball

Photo: flickr/SD Dirk

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Being a ball player for so long, I remember a lot about this area of research because this was the first paper that actually seemed to explain how an outfielder actually caught a fly ball, rather than propose a strategy that was not really being used by anyone with real experience.

Catching a fly ball is not easy and takes a lot of practice. There had been papers earlier that looked at how this might be done. But there were several real flaws in the them, particularly for people who were real ball players.

One of the flaws was that they could not really give a good explanation for how someone could be moving towards a moving ball and time the catch to happen while still moving. They predicted that a stationary position would be best for catching a fly ball. The explanations were fine for a ball hit directly at someone where they essentially moved in a forward or backward track. But even good ball players will say that tracking these sorts of balls were much hard than any other and did not really fit how they found a ball.

And this approach could not explain how a player could simultaneously run towards where the ball would be and catch the ball, all while still in motion. It required the player to stop, track the ball, move, stop, track the ball, etc. It did not really explain how a player could catch a ball while at a full run to the side. In fact, as I recall, this would be an impossible task under this older model. While earlier research found that this approach was used by many inexperienced players , it is not what was seen with experienced players.

This was the first paper that actually addressed how a player could simultaneously run, track and catch the ball, all with relatively simple, easily understood math. In fact, the strategy works best when the player continually moves to the ball, timing his catch to where the ball is, rather than run real fast to the spot and then wait. It explained why it is actually easier to catch a ball while on the run than when simply stationary.

I know personally that I can get a pretty good idea of where a fly ball is going as soon as it is hit. I know if it is over the fence, close to the warning track, or just a little blooper. I have to see the batter. In fact, I would move around on the field to be able to see the actual swing, etc. If I was blinded by a base runner standing in the way, it was much hard to follow the ball.

And, often a ball player can start a run after seeing the initial flight without having to see the ball at all. Then he can turn and track the ball. So I think there is some experience level here that permits a player to make an initial judgement of where the ball is headed, an initial judgement that is often pretty accurate.

But the LOT strategy really seems to explain how adjustments are made to get to exactly where the ball will go, how to deal with perturbations in the flight due to wind, etc. and make the catch. It was nice to see something like this published in Science that actually seemed to accurately explain how it worked for me.

Denier’s misleading graphs

Temperatures and Projections
[Via Deltoid]

Alden Griffiths has another excellent presentation, this time dissecting Christopher Monckton’s claim that temperatures are below the IPCC’s projections.

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When they have to create incorrect graphs and then lie about where the data comes from, especially when the real data is so easily examined, their goal is not to educate, not to enlighten but to mislead.

Griffiths’ presentation does an excellent job of walking through all the data, showing what was really written by the IPCC and how Monkton created his misleading graphics.

The take-home message is that the temperature since 2000 have moved within the range that the IPCC models showed. There is no deviation between what has occurred and what was predicted.

Anyone who says that there has been a difference is misleading at best and lying at worst. Here is the graph:


201009110952.jpg

It is easy to see how Monkton creates a misleading graph – his IPCC cones are simply wrong. Here is a graph extending these cones out, with the actual IPPC model traces. You can easily see that Monkton’s cones do not actually capture the IPCC’s actual data, especially during the early years.



201009110954.jpg

It appears that the cones that Monkton claims is the IPCC data do not include at least half of the actual IPCC data during the first 20 years or so and it consistently overshoots the actual data.

To claim that the pink curves represent the actual IPCC data is certainly misleading. Stating that the real data is lower than the models is certainly misleading. And using only one of the several scenarios discussed by the IPCC and claiming that is the IPCC data is also misleading.

Here is a graph showing the real data since 2000 with the real IPCC information:


201009111028.jpg

As can be seen, the current observed temperatures are will within the 95% confidence levels expected. That is what makes something likely for scientists – that the numbers are within the 95% confidence levels.

So, none of the actual observed data since 2000 falls outside the expected ranges postulated from models by the IPCC.

Denier’s misuse data all the time. So, the first place to start with any of their graphs is that they are probably misusing data again. It is something that I might say with confidence has a 95% chance of being correct.

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