Categories
Statistics

2010 Visitor Statistics

These are my Google Analytics stats for 2010.
visitor stats line graph
Here’s how the visitors got here:
visitor stats pie chart
Of those that got here via referring links, here are the top ten sites that brought them here most often:

  1. stumbleupon.com
  2. facebook.com
  3. www3.telus.net
  4. google.com
  5. de.wikipedia.org
  6. en.wikipedia.org
  7. fxp.co.il
  8. images.google.com
  9. digg.com
  10. desgraciashumanas.blogcindario.com

Almost all of the top 50 search results were related to backmasking. Here are the top ten:

  1. stairway to heaven backwards
  2. backmasking
  3. songs played backwards
  4. stairway to heaven
  5. jeff milner
  6. backmasking songs
  7. jeff milner backmasking
  8. backmasked songs
  9. stairway to heaven backwards lyrics
  10. back masking
Categories
Statistics

Exactly What To Say In A First Message

In case you’ve ever wondered exactly what to say in a first message, OKTrends (the blog from the dating site OKcupid) has compiled just the data you need to review.

Categories
Statistics

Wrong Tomorrow

Wrong Tomorrow is a site that tracks significant predictions by pundits of politics, finance and information technology, over a maximum 5 year time span.

Thomas Friedman: “Improv time is over. This is crunch time. Iraq will be won or lost in the next few months. But it won’t be won with high rhetoric. It will be won on the ground in a war over the last mile.” 2004-11-11

Jim Cramer: “Google goes down every day and that’s wrong. I don’t believe it’ll stay here long at all. It’ll be back to $500 in no time.” 2008-08-08

Bill Gates: “Two years from now, spam will be solved.” 2004-01-24

It turns out, the trend is that most experts’ predictions are worse than chance.

Categories
Statistics

Did You Know?

The suggestion to watch this informative video came via email from an unlikely source—my mom!

Hit play or watch Did You Know at YouTube.

Categories
Statistics

New Visitors

I had a small flood of new visitors to the site yesterday—about 34,000. Welcome.

Update: Looks like most of you came from here.

Web traffic on google analytics

Categories
Sport Statistics

NBA Team Heat Maps

Heating up or cooling down? Obsessionism.com graphs NBA teams by their last five years of stats. This appears, at first glance, to be a pretty good indication of how the teams will do this year.

NBA Teams stats 2003-2008

Categories
Music Statistics

The Whitburn Project: 120 Years of Music

Using data from the Whitburn project, Andy Baio of Waxy.org just wrote an extensive entry about one-hit wonders and pop longevity.

For the last ten years, obsessive record collectors in Usenet have been working on the Whitburn Project — a huge undertaking to preserve and share high-quality recordings of every popular song since the 1890s. To assist their efforts, they’ve created a spreadsheet of 37,000 songs and 112 columns of raw data, including each song’s duration, beats-per-minute, songwriters, label, and week-by-week chart position. It’s 25 megs of OCD, and it’s awesome.

Did pop songs stay on the top 40 charts longer in decades past? Were there more one-hit-wonders in the 60’s, 70’s or 80’s? He’s done some great parsing of some really big data sets, and the results are very interesting.

Categories
entertainment Statistics

Deal or No Deal

The American version of Deal or No Deal is airing its 100th episode. When I first watched the show, sometime close to it’s premiere, I was quite bothered by the fact that the game doesn’t really have much strategy to it. You don’t have to know anything, you just pick random cases—something that anybody could do.

Nevertheless, despite the aggravating stalling and the fact that I judged most of the contestants to be greedy morons, I found myself compelled to watch, at least for the first few weeks—each episode hoping that tonight would be the night someone goes home a millionaire.

The greed aspect used to bother me because at a certain point the risk involved in continuing far outweighs the statistical chance of gaining more money. I suppose that’s what makes the show so compelling and I have to admit that within every negotiation, there is a time to get out and a time to stay in, and success hinges upon selecting that sweet spot between too early and too late. I tend to admire those with the sense to get out early more than the romantics who go for it, because I’m not a high roller. Betting tens of thousands of dollars, even when the odds are on your side, is astonishingly reckless. I suppose though, either way it turns out, the suspense is very good for ratings and allows us at home to play vicariously—wondering what it is we would do when put in that same situation.

The following is a YouTube clip from British version of Deal or No Deal that aired last January. The host, or presenter, is a man named Noel Edmonds. The differs from the American version in that there are no lovely models to open cases. Instead they bring in 22 contestants and each choses a case at random. Then one person is selected to play the game and, like the American and Canadian versions, choses cases to open to eliminate from play.

It’ll all become clear in the clip but the main thing you need to know is that the folks opening the cases in lieu of the models are contestants who weren’t selected to play this round. Also, of course, the top prize is in pounds—it’s £250,000.

As of this morning the British pound was worth a hair under two bucks in American money so 250,000 of them is the equivalent of just under half a million US. If that seems horribly lower than the usual top prize in Canada and the States (a million dollars in our respective currencies), remember that on the North American shows, the top prize is in one out of 26 cases, not 22, so the odds are a little different.

Also note that, unlike the States, the winnings in the UK and Canada are tax free.

Categories
Health Statistics

Avian Flu Pandemic Simulation

Using supercomputers to respond to a potential American health emergency, scientists from Los Alamos National Laboratory in New Mexico, the University of Washington and the Fred Hutchinson Cancer Research Center in Seattle have developed a simulation model that makes stark predictions about the possible future course of an avian influenza pandemic.

Flu Pandemic Simulation

Based on today’s environment of world-wide connectivity, beginning with 10 infected people arriving in Los Angeles, the simulation predicts that the pandemic will spread quickly throughout the continental United States, peaking about 90 days after the initial introduction.

The computer simulation models a synthetic population that matches U.S. census demographics and worker mobility data by randomly assigning the simulated individuals to households, workplaces, schools, and the like. Department of Transportation travel data is used to model long-distance trips during the course of the simulation, realistically capturing the spread of the pandemic virus by airplane and other passenger travel across the United States.

“In the highly mobile U.S. population, travel restrictions alone will not be enough to stop the spread; a mixture of many mitigation strategies is more likely to be effective than a few strictly enforced ones,” said Kadau, also of Los Alamos’ Theoretical Division.

The number of symptomatic cases at any point in time is shown on a logarithmic color scale, with 1 or fewer cases per 1000 in green, 50 per 1000 in yellow, and 100 or more per 1000 in red.

Simulation of a pandemic flu outbreak. (4mb Quicktime)