Links of the Day (02/01/10)

Here’s what caught my attention today:

(1) “But Who’s Counting?” [Los Angeles Times] – a great op-ed in the Los Angeles Times on the confusion that journalists make between the number million and the number billion. The author goes into some theories on why this mistake occurs so often (or, at least, more often than it should occur). According to the author:

I did some calculations and found that The [Los Angeles] Times’ mistakes totaled about $1.4 trillion, or about twice the amount the U.S. spent on the TARP bailout. Our brethren at the New York Times did even worse, making 38 million-billion mistakes in the same three years. Oddly, they were far more likely to overstate the case, doing so almost one time in four. The total of all their errors was $6.5 trillion, or more than half the amount of the national debt.

It’s a very interesting piece, and perhaps the most reasonable explanation for this error is that our brain can’t comprehend the sense of scale between one million and one billion. If I told you that I have a million paper clips vs. a billion paper clips, would you be able to tell the difference in the volume the two occupy? Probably not. Also, can you visualize one billion dollars? I found this infographic helpful. Also of note is how vastly different one billion dollars is from one trillion dollars; see this telling infographic, for instance. In any case, the author of the op-ed has a dismal conclusion:

More diligence would probably have prevented many of our million-billion slips, but after observing The Times newsroom for decades, I can’t avoid the conclusion that our collective numeric literacy — like that of most of America — is appallingly low.

(2) “News Photos, on the Move, Make News” [New York Times] – The Magnum photo collection (a massive archive of over 180,000 images) is moving to a permanent, public display at the University of Texas at Austin.

(3) “Risks Lurk for ETF Investors” [Wall Street Journal] – a short, informative piece which describes the risks (liquidity, pricing) inherent in investing in certain ETFs.

(4) “Timeline of the LOST Universe” [New York Times] – this isn’t an article, but a wonderful interactive graphic which lets you discover when the events in the LOST universe have occurred. It’s a must-see for any fan of the show.

Links of the Day (01/31/10)

Here are three articles which I’ve read over the last few days:

(1) “Steve Jobs and the Economics of Elitism” [New York Times] – A brief look into how Apple represents the “auteur model of innovation,” not to mention a model of restraint in product design.

(2) “The Lessons of Lady Gaga” [Wall Street Journal] – an interesting article that takes a glimpse into the business-savvy singer who opened the 2010 Grammy Awards. Lady Gaga affectionately dubs her fans “little monsters.”

(3) “In Tough Economic Times, Shoppers Take Haggling to New Heights” [Washington Post] – what average consumers are doing (or should be doing) in these tough economic times. Great read.

Link of the Day (01/25/10)

There is one article I want to highlight for today. It is so interesting that it deserves to stand on its own as the link of the day.

(1) “The Chess Master and the Computer” [New York Review of Books] – an incredibly well-written and thought-provoking piece by Garry Kasparov, perhaps the greatest chess player of all time. In the article, Garry Kasparov discusses his play against computers, from the 1980s to the showdown with Deep Blue in 1997 to playing against modern computer chess programs.

Most intriguing to me are Mr. Kasparov’s thoughts on the possibility of solving chess. Imagine this scenario: you make a move in chess, and the computer would be able to calculate the best move under the circumstances and predict the likelihood of achieving mate (and in how many moves it will occur). The concept of solving chess is something I have been thinking about for over ten years, so it’s refreshing to read a Grandmaster’s opinion:

Another group postulated that the game would be solved, i.e., a mathematically conclusive way for a computer to win from the start would be found. (Or perhaps it would prove that a game of chess played in the best possible way always ends in a draw.) Perhaps a real version of HAL 9000 would simply announce move 1.e4, with checkmate in, say, 38,484 moves. These gloomy predictions have not come true, nor will they ever come to pass. Chess is far too complex to be definitively solved with any technology we can conceive of today.

So Mr. Kasparov is not excluding the possibility of chess being solved one day; he simply argues that it is inconceivable to solve the game of chess with the hardware we have today. Mr. Kasparov goes on to explain:

The number of legal chess positions is 1040, the number of different possible games, 10120. Authors have attempted various ways to convey this immensity, usually based on one of the few fields to regularly employ such exponents, astronomy. In his book Chess Metaphors, Diego Rasskin-Gutman points out that a player looking eight moves ahead is already presented with as many possible games as there are stars in the galaxy. Another staple, a variation of which is also used by Rasskin-Gutman, is to say there are more possible chess games than the number of atoms in the universe. All of these comparisons impress upon the casual observer why brute-force computer calculation can’t solve this ancient board game.

If you are at all interested in chess, computer science, or algorithms, I highly encourage you to read the entire article.


Links of the Day (01/24/10)

Here are two interesting articles I read today:

(1) “Moscow’s Stray Dogs” [Financial Times] – a descriptive and insightful look into the population of roughly 35,000 stray dogs in Moscow. The articles goes in depth into the four types of dogs roaming the streets of Moscow (based on the dogs’ character, how they forage for food, their level of socialization to people, and the ecological niche they inhabit). What was most interesting to me was reading about the evolution of the dogs. Most intriguing are the Moscow Metro dogs:

They orient themselves in a number of way…They figure out where they are by smell, by recognising the name of the station from the recorded announcer’s voice and by time intervals. If, for example, you come every Monday and feed a dog, that dog will know when it’s Monday and the hour to expect you, based on their sense of time intervals from their ­biological clocks.

The metro dog also has uncannily good instincts about people, happily greeting kindly passers by, but slinking down the furthest escalator to avoid the intolerant older women who oversee the metro’s electronic turnstiles.

(2) “Underwater, but Will They Leave the Pool?” [New York Times] – an interesting look into why the mortgage default rates are so low.

Readings: Knowledge and Predictability, AOL-Time Warner, Soyabeans

I’ve decided that in addition to posting about the books I read, I’ll also provide links to interesting articles I find across the web. I don’t see myself posting links daily, but perhaps three to five links once a week. If you think this is a worthy venture, please let me know in the comments!

Here are the articles I’ve read recently which are worth checking out:

(1) “The Degradation of Predictability and Knowledge” [Edge.org] – interesting, but perhaps overly pessimistic take on the internet, by Nassim Taleb, author of Fooled by Randomness and The Black Swan (both of which I read and highly recommend).

(2) “In Retrospect: How the AOL-Time Warner Merger Went So Wrong” [New York Times] – an excellent interview with Stephen Case (co-founder of AOL), Gerald Levin (CEO of Time Warner), and Ted Turner on what went wrong with that fateful merger ten years ago.

(3) “Worth a Hill of Soyabeans” [The Economist] – how the gradual introduction of internet kiosks providing price information affected the market for soyabeans in the central Indian state of Madhya Pradesh. Interesting to discover that not only farmers’ profits increased but that the cultivation of soyabeans increased as well.

On another note, today is a palindrome day (01/11/10).