The Violinist in the Subway

By | April 13, 2007
Seth Godin comments on the world class violinist ignored by commuters in the subway. His conclusion (I think): we all ignore because in our world of natural suspicion we rely on marketing to flag what is and isn’t valuable.

True, I guess. What scares me too, is the possibility that we wouldn’t have even been able to distinguish between a world class violinist and a mediocre fiddler outside their appropriate setting.

It bothers us that we’re so overwhelmed by the din of our lives that we’ve created a worldview that requires us to ignore the outside world, most of the time, even when we suffer because of it. It made me feel a little smaller, knowing that something so beautiful was ignored because the marketers among us have created so much noise and so little trust.

Bot, Go Out and Do My Bidding

By | November 22, 2011
This week’s WSJ.com column (behind a subscription wall, I’m afraid) is on how we need to get ready for the day when chatbots go out and do our bidding for us. Literally, possibly, but if nothing else to go out and do the pre-flirting bit of online dating. 
clipped from online.wsj.com

Expect a future where we don’t interact with other people. Instead, we’ll send our “cyber double” out to interact with other people’s “cyber doubles” until things get interesting. Then, and only then, will real people take over.

This is the vision of Liesl Capper, whose Sydney-based RelevanceNow! last week launched an early version of MyCyberTwin (mycybertwin.com), a service that allows you to create and hone an online version of yourself. Your cyber twin will then chat on your behalf on instant messaging, your blog or your MySpace page. Eventually much of what you do online will be left to your cyber double, indistinguishable from the real thing (you). As Ms. Capper puts it: “You can be you, even when you’re not you.”

Gaming Idol With Dialers

By | November 22, 2011

If you’re wondering why Sanjaya Malakar has done surprisingly well in American Idol, here’s one possible answer: dialers.

Dialers are pieces of software usually stealthily installed on a victim’s computer to automatically dial expensive premium telephone numbers. The victim only finds out when they receive their phone bill. In this case, the dialer, openly available on a reputable download site, is a voluntary install designed to automate the voting process in Idol:

Sanjaya War Dialer uses your computers modem to automatically dial the American Idol voting number over and over and over again until you tell it to stop. Automatically cast hundreds or even thousands of votes for Sanjaya with the click of a button. Make Sanjaya win and help us ruin American Idol.

The Sanjaya War Dialer has its own MySpace page where users report on their votes — 600 a hour, for some. The show’s producers are aware of this, and have been lopping off blocks of votes if they seem to be coming from power dialers, as they call them, for several weeks.

Gaming the system by voting for inferior contestants is not new. Vote for the Worst claims to have been around since 2004. And DialIdol.com offers dialers for other shows, including Dancing with the Stars, So You Think You Can Dance, Canadian Idol and Celebrity Duets. DialIdol isn’t so much about gaming the system as predicting who will be voted off by seeing which hotlines are busiest.

Should we be surprised by this? No. It’s not easy to tell how many people are using these dialers, and it would need to be a lot to make it work. But we shouldn’t underestimate the number of people willing to do this, either for fun or because they have money riding on it. And of course they may not need to vote – they only need to stop other people from voting for other contestants. Do we believe American Idol when it talks of 35 million votes? That’s a lot of phone lines.

I would say this: Any kind of voting technology that isn’t transparent and clear is likely to be manipulated, either by smart hackers with something to gain, or by those arranging the voting.

(My colleague Carl Bialik talks about voting and power dialers in his blog a couple of days back. Thanks to Handoko for the Twitter tip.)

Europe’s Top-heavy Leagues

By | November 22, 2011

Lg-spain Spanish Primera Liga (48%)
Lg-bundesliga German Bundesliga (54%)
Lg-epl2 English Premier League (47%)
Lg-france French Ligue 1 (47%)
Lg-greece Greek Ethniki Katigoria (6%)
Lg-holland Dutch Eredivisie (25%)
Lg-italy Italy Serie A (24%)

Lg-champ English Championship (29%)
Lg-scot Scottish Premier League (29%

This doesn’t have a lot to do with technology, but it’s an excuse to play around with sparklines, Edward Tufte’s approach to feeding data into text in the form of small data-rich graphics. And they might tell us a bit about soccer, competitiveness and which country is the powerhouse of Europe. (These ones are done with Bissantz’ excellent Office plugin.)

What started me off here was the comment on the BBC website that English soccer, while strong at the top (Man U, Chelsea, Liverpool, Arsenal), drops alarmingly in quality. Is there really no competition in the English Premier League? The absence of English clubs in the final 4 of the UEFA Cup would seem to indicate it’s true.

But I thought another way of exploring it would be to grab the points gathered by each team in each of the main European leagues, and then plot them as a simple sparkline, each bar indicating the points one by each club in the table. The steepness and evenness of the sparkline gradient should give a pretty clear impression of which leagues are split between great clubs and the mediocre rest.

Visually, Spain is clearly the most competitive league (with the exception of England’s second league, the Championship, which has an impressively smooth gradient.) The German Bundesliga comes second, with the English Premier League third. All the others, frankly, look too top heavy to be regarded as having any depth (Italy doesn’t really count as it’s in such a mess at the moment.)

The figures in brackets show how many points the bottom club has as a percentage of the top club, a figure that’s not particularly useful as, for example in Greece, the bottom club Ionikos doesn’t seem to has won only two games in 26.