Guilty, guilty, guilty atoning for HIH sins
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RAYMOND Reginald Williams, who had previously claimed he could have saved HIH from collapse, yesterday pleaded guilty to three criminal charges arising from his management of the failed insurer.
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The mayor of Pitcairn Island, Steve Christian, leaves court in Adamstown after being convicted on five counts of rape. Photograph: AP.
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Tycho:  I watched this video myself on Friday, and then watched it again, and then watched it a third time when Khoo came in - providing commentary throughout, which I'm almost certain was unwelcome.  I urge you not to watch the embedded, nasty  version over at GameVideos, but to take advantage of their "Download" or "Watch Larger Version" options.  This way, you can obsess as I have - pausing on each screen of the character generator or battle interface, drinking deep of their  forbidden texts.  (CW)TB
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Description: John Rowland pleads guilty to one federal conspiracy charge related to his acceptance of gifts and services from companies doing business with the state.
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For some, replying to Internet scams is a rewarding hobby. They call themselves scam-baiters, and they have started taking justice into their own hands.
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Business & money: Which? calls for offenders to be named and shamed.
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BillâGatesâisâonâhisâwayâout.âNowâit's upâtoâRayâOzzieâtoâreviveâthe flaggingâgiant -- andâgetâitâreadyâfor theâpost-desktopâera. By Fred Vogelstein from Wired magazine.
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By Lee Benson Deseret Morning News  The kind of thing that only happens somewhere else, to somebody else, happened here.  We need therapy.  My one request:  Please do not call the cold-blooded murderer who did it a nice kid.  Or generous or kind or good.
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Six of the seven men charged with sex attacks on Pitcairn Island have been found guilty. Mayor Steve Christian was found guilty of five rapes.
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Life & style: I had an affair with my friend's boyfriend and feel consumed with guilt. Should I confess and apologise?
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Getting involved with a cheater spells t-r-o-u-b-l-e. (27 points!)
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Doubts about Martin H. Tankleffâs confession tap into a legal debate about how much deception is too much.
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IT OUGHT to be a crime -- the people v. Procter &amp; Gamble ; the people v. Gillette.
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How can a spurned lover make his case? The author of this column counts the ways.
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Here's the painful story of someone who did.
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There's an old parable that goes like this:A man is sentenced to death by the king. In desperation, he asks that his life be spared if he can teach a pig to sing. The king agrees, and gives the man a year. Walking the man back to his cell, a guard comments that it seems like a foolish bargain; he doesn't really expect to be able to do it, does he? The man replies, "A lot can happen in a year. The king could die. I could die. Or who knows, maybe the pig will learn to sing."(Maybe it's an allegory. Or a fable. I can never keep these things straight.)I'm using the pig story to segu&#233; into Bayesian spam filters. But first, a quick trip back to spam filters in general. E-mail spam has been around for a while, and different schemes have been developed to determine whether a piece of e-mail is (probably) legit, or whether it's spam. One way is to create a blacklist of senders: Nothing from, say, 123junk.com is allowed into your inbox. Another is a whitelist: If you aren't an approved sender (e.g., mom, dad, Cousin Jimmy), you're mail won't go through. A third is the 'word search,' which looks for the kinds of words that rarely make it into a legitimate e-mail: "Viagra" springs to mind, and there are plenty of others that can't be printed on a family Web site. All of these anti-spam techniques have problems, mostly because they were either too narrowly focused to be effective, or because they were too easy for spammers to get around.But then came a different kind of spam filter - one based on the work of an obscure mathematician from the 18th century. One that works.Reverend TomThomas Bayes was an English Presbyterian minister and mathematician who lived from 1702 to 1761 in and near London. He only published two things while he was alive: a paper that tried to prove that God wants everyone to be happy, and another defending the accuracy of the calculus. After he died, though, is when Bayes's most important work was published. Called "Essay towards solving a problem in the doctrine of chances," it was discovered by an acquaintance (one Richard Price, for those of you who like the details) who sent it to the Royal Society which published it in its Philosophical Transactions in 1763.Out of that paper came what's called Bayes's Rule or Bayes's Theorem. It's a formula for guessing how likely it is that something will happen based on two or more independent events. Imagine you want to know what the chances of your 1986 Toyota Corolla making it cross country. Some "independent events" that might stop you are your engine failing, your transmission failing, your tires failing, and so on.To apply Bayesian probability here, you would figure the odds of each of those things, then input those numbers into Bayes's formula (which, by the way, is fairly simple). Let's say you figure the chance of your engine failing is 10%, the chance of your transmission failing is 15%, and the chance of your tires failing is 30%. Popping the numbers into Rev. Tom's formula tells you that the chance of your trip being ruined by any one of these things is actually less than 1%. Happy trails.(Is this counterintuitive? Maybe. Check out another example at Process Software.In 2002, Paul Graham changed the spam war forever when he published an article called "A Plan for Spam". In it, he demonstrated how Bayes's work could be used to sort out spam from legitimate e-mail.Instead of calculating the odds of whether your car will make it across the country, Graham used Bayesian techniques to determine how likely a piece of mail is to be spam. It bases this on how likely each word is to be in a spam message.(By the way, the word "word" is misleading. Bayesian filters also take into account things like Web links, text colors, and font size.)Thus, the more spam messages (and good messages) you get, the more information a Bayesian filter has and the better it gets at identifying junk. A lot of very good anti-spam products are based on Bayesian techniques.And they work very, very well.Basic trainingFirst, a Bayesian filter has to be trained; you need to tell it these are legit messages and these are spam. (Every Bayesian filter has a simple way to do this, usually by having you put all your spam in one mailbox. It then scans that Spam box for spam, and your Inbox for legit mail.)The filter looks at the words in every message to get an idea of what spam looks like. For example, if the word "buy" appears in 100 spam messages and only one legit message, it might be given a score of .99 - there's a 99% chance a message with "buy" in it is spam.On the other hand, the word "column" would (for me) be the opposite; it might appear in 99 legit messages and only one spam, and thus get a score of .01 or one percent.After going through this training process, the Bayesian software ends up with a list of words and their spammish probabilities (often called a "corpus"). When a new message arrives, the filter looks through the words in it and gives each a score based on those 'training' messages. Then it uses Bayes's formula to come up with a score for the message as a whole. If that's above a certain threshold, the message is tagged as spam and either marked, deleted, or separated.But the real beauty of the Bayesian-filter system comes next, when spam gets through. It's bound to do that, because spammers always try new tricks - they put in long passages of poetry, or try to disguise words with odd misspellings, or come up with other ways to sneak by. When a piece of spam ends up in your Inbox, a Bayesian filter has an extra option: one to mark it as junk. Sometimes it's a button or menu choice, other times you just need to move the message to a Spam folder. It also works the other way: Legit messages may land in the Spam box for various reasons, and they must be re-routed. Either way, the filter now knows what the newest kind of spam looks like.Bayesian filters work because they aren't dependent on things that might change: the way words are spelled, or where a message comes from. All they care about is what you say is spam. At least one filter, POPFile, actually lets you set up categories beyond just 'spam' and 'not spam,' so you can teach it to automatically sort out messages on a particular topic.There are a lot of technical ideas out there for curbing the flow of spam, but I'm willing to bet that none of them will work very well. Stopping spam is up to us, and Reverend Bayes has given us a powerful tool.Andrew Kantor is a technology writer, pundit, and know-it-all who covers technology for the Roanoke Times. He's also a former editor for PC Magazine and Internet World. Read more of his work at kantor.com. His column appears Fridays on USATODAY.com.
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Gabe: You might have seen this story on CNN about the teens that murdered a homeless guy and then equated it to the sort of thrill one might get from a violent video game. There will be plenty of articles focusing on these kids and their crime. I"d like to take a second and talk about the parents of these teenagers instead. It is the job of a parent to teach their children certain rules. Obviously the rules themselves and the emphasis each family places on them will vary, but there are certain universal constants that these parents obviously failed to pass on.