Welcome to Kabul
Kabul is an ancient city that Alexander the Great passed through in 330 B.C. while enroute to India.[8] The largest city in Afghanistan, it had a population of 435,202 in 1969.[9] Three major mountains push through the city in various directions, and the Kabul river cuts the city in half. Like other Central Asian cities, Kabul’s center is composed of ancient adobe buildings set in a rabbit-warren of narrow streets and narrower passages. This tight, teeming bazaar is divided into separate sections where large groups of specialists live in an Eastern version of the medieval guild. Leather workers, jewelers, brass workers, and carpet merchants all have their own time-honored section of the bazaar for production and sales. Individual artisans and factories also produce items … Continue reading

Unemployment Figures — The Missing Piece

People have asked if the unemployment figures released by the administration are on the level or if there is some trick. The answer is both. We all know that the unemployment rate is calculated from a remarkably elastic base figure, the workforce, which for some reason excludes people who are “discouraged”. Yeah, I get it, but it makes for a shifting base, which makes the numbers suspect.

How to Twitter

1) Use Tweetdeck
2) Type this a lot: #
3) Block spammers
Spammers on Twitter are pushing links. They can’t make money from you on Twitter, so they want to get you somewhere that they can.   They want to maximize the number of people they reach, and maximize the percentage of those reached who click on the link.

Spam-bots listen for keywords, or listen to hashtags, or do user searches presumably from other users.  When they see your name pop up because you mentioned a word they listen for, or a hashtag, or they ransacked a friend list for you, then they target you.  They cannot direct message (DM) you, because you are not “following” them.  So they will embed your name in a … Continue reading

The Disappearance of OMNI Magazine

Beyond the Event Horizon of a Quack Hole

I had always wondered what happened to Omni Magazine.    I found (rather Google found for me) an excellent and in passing poignant explanation on a site dedicated to paranormal and conspiracy themes called paraspiracy.com. They may be kooks, but they write well, and this is a remarkably straight-forward article. Nothing seems to have haunted my computer since reading their article, so I can recommend it: Whatever Happened to OMNI Magazine?.

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To Do, etc…


This is my utility post. If I have accidentlly published it, kindly look the other way–this is just a scrap of paper lying in the information supergutter.

http://www.xanadu.com.au/ted/zigzag/xybrap.html This guy has a good thing going on, and DESPERATELY needs a re-write of his mewling page. I will do it, gratis.
UPDATE: On second thought, his stuff doesn’t look open source. Puck ‘im?

Good to see you again, Dr. Kanamori! *** A Weak Learning Algorithm (WLA) is a simple one which gives a hypothesis with a high error value. Multiple WLA’s can be integrated to reduce the hypothetical error below what is possible with any single WLA. … Continue reading