But now we have robots! Surely the problem with previous attempts was simply a lack of technology and resources which we have now solved.
I'd bet it's Leavenworth, assuming they let him live. The guy is now claiming "He was a spy" which means he is admitting to espionage. To me, that makes him no-longer a whistle-blower, but something quite different. He's admitting to being a traitor, which entitles him to a trial on charges that can carry some serious penalties, including death. I'd be surprised if they went for death, given he's still alive.
He is claiming that he was trained and worked as a spy for the US government, not (as you seem to think) that he spied on the US government for a foreign power.
Perhaps introspection is lacking in that particular decision making process and how playing with statistics and probabilities can lead to wrong decision making especially in modern human society allows interactions between controlled social environments and uncontrolled social environments, in terms of medical controls, specifically access to vaccines and high risk population bases.
Whoa man, whoa. Sentences are your friends, don't abuse them like that.
It's a 72-hour rental, so you can watch it yourself and then rewatch it with friends a couple days later if you want. An option to own it would be nice, but I imagine that will come later.
I don't know where you live, but $5 is half the price of a cinema ticket where I live.
I also get hiccups from spicy food, which is annoying. It started a few years ago, never had a problem as a kid.
My favorite peppers are serranos, but I cut out the seeds and membranes before I eat them. Delicious on pizza--I like the flavor more than jalapenos.
Oh, I get it. You're saying if the typical sysadmin was more like Snowden; I read it as saying if Snowden had been different (i.e. if he had not leaked the documents).
Ignorance is bliss?
It's not new. I suppose you could say it already is a meme.
He doesn't mention latency, but he does say he clocked 915 Mb/s both up and down.
You could try reading the article.
The content is in the first link.
It could have been identified better, but it is there.
Academic journals traditionally require the authors to assign the copyright to the publisher. The authors do not get paid directly, but publications are an important factor in tenure decisions and general academic prestige--"publish or perish."
Some journals allow the authors to post the paper on their website, and some journals which do not technically allow it have generally ignored it in the past, but some publishers have been cracking down on the practice recently.
Here's the journal article:
Most statisticians consider standard deviation to be a more meaningful/fundamental measure than mean absolute deviation. I agree with Nassim Taleb that mean absolute deviation is easier to understand, but I disagree that we should switch to using the mean absolute deviation.
(I should note that, contrary to the summary, Taleb is not properly a statistician--he's an economist).
I disagree with Mr. Taleb on this point, but I feel I should note that most of his work over the last 10-20 years has been about things which are not Normal. He is quite well known for it.
Hi, I'm a statistician.
It's not so simple to just say "ok, we're going to use the Mean Absolute Deviation from now on." The use of standard deviation is not quite the historical accident that Taleb makes it out to be--there are good reasons for using it. Because it is a one-to-one function of the second central moment (variance), it inherits a bunch of nice properties that the mean absolute deviation does not. There is not a one-to-one correspondence between variance and mean absolute deviation.
Taleb is correct that the mean absolute deviation is easier to explain to people, but this is not just a matter of changing units of measure (where there is a one-to-one correspondence) or changing function and variable names in code (where there is again a one-to-one correspondence). Standard deviation and mean absolute deviation have different theoretical properties. These differences have led most statisticians over the last hundred years to conclude that the standard deviation is a better measure of variability, even though it is harder to explain.